The Large Hadron Collider (LHC), the world's largest and most powerful atom smasher, has entered a planned four-year shutdown that will upgrade it to its most capable form yet.

The particle accelerator was switched off Monday (June 29) and is scheduled to come back online in 2030 as the High-Luminosity Large Hadron Collider (HiLumi LHC), with improvements that will allow it to smash together roughly 10 times more particles than its original design. That data could help spark new discoveries in fundamental physics and shed light on the nature of dark matter, antimatter and the early universe.

"This is a very important moment," HiLumi LHC project chief Markus Zerlauth told Agence France-Presse. "From Monday, we will be entering a new phase."

Since its first successful proton collision in 2009, the LHC has allowed physicists to test theories about particle physics and the Standard Model of the subatomic world. It was essential to the discovery of the Higgs boson in 2012, which helped explain how tiny fundamental particles acquire mass. The collider covers a 17-mile (27 kilometers) loop at the border between France and Switzerland near Geneva.

The current shutdown is the third long-term, planned pause in the collider's operations. The first, a two-year shutdown beginning in 2013, consolidated connections between superconducting magnets and boosted the energy of the colliding proton beams. A second pause, from 2018 to 2022, involved a series of upgrades, replacements and preventive maintenance.

In the current period of dormancy, dubbed Long Shutdown 3 (LS3), specialists will install upgrades to boost the collider's luminosity by a factor of 10. That will increase the number of particle collisions, roughly tripling the number of times particles will smack into each other compared with the existing setup. Once the final version of the particle accelerator is online, it will run until the end of its operational lifespan in the 2040s and will be earmarked for replacement by a new, higher-energy particle accelerator in the years that follow.

"It really is an opportunity to explore the universe in a way we haven't done before," Mark Thomson, director general of CERN (the European Organization for Nuclear Research), where the LHC is housed, told New Scientist.

That jump means that experiments will produce much more data, which will allow scientists to study known phenomena, such as the Higgs boson, in more detail and increase the odds of observing rare events. For example, the HiLumi LHC is expected to produce about 380 million Higgs bosons over its lifetime of a decade or so, compared with the 55 million it's made to date. The data could help scientists solve problems with the Standard Model, which currently doesn't incorporate dark matter or dark energy, the primary forms of mass and energy in the universe.

"The LS3 represents a huge and complex logistical and engineering undertaking," Jean-Philippe Tock, head of the LS3 coordination team, said in a statement. "In the LHC alone, 1.2 km [0.75 miles] of magnets and components will be removed and replaced with new equipment, and across the whole complex, dozens of projects are planned, involving thousands of engineers, physicists, technicians and support personnel."

While the LHC won't be smashing any particles together during the shutdown period, researchers will continue to analyze data already collected during experiments during the prior operational window.

Though the LHC's primary purpose is fundamental physics research, technologies used to upgrade the collider could find their way into everyday life. For example, some instruments and techniques originally developed at CERN are now being used in medical imaging, sensors and art restoration.

Two lumps of potato discovered in a roughly 500-year-old Inca storage room in Peru are a rare find: freeze-dried potatoes predating the Spanish invasion, a new study finds.

These freeze-dried potatoes, known as chuño, were once a backbone of the Inca Empire's food supply and a product so fragile that they almost never turn up at archaeological sites.

The new discovery, made along Peru's arid south coast, is only the second time chuño has been recovered from an Inca site, researchers reported in the new study. It is concrete evidence that the empire directed one of its most important food sources hundreds of miles from the Andes, down to the Pacific Ocean.

Chuño is made by repeatedly exposing potatoes to nighttime frost and daytime sun until nearly all their moisture has evaporated, leaving a lightweight, long-lasting vegetable that can be stored for decades. This technique works only at high elevations where hard frost occurs regularly, so chuño had to be produced in the mountains and then transported using llama caravans, often hundreds of kilometers, to feed people living elsewhere in the empire.

The Inca used the same drying method to preserve meat, he said, producing a product called "charki" — the source of the English word "jerky," study principal investigator Lidio Valdez, an adjunct professor in the Department of Anthropology and Archaeology at the University of Calgary, told Live Science in an email.

In the new study, published May 1 in the Journal of Field Archaeology, Valdez and study co-author Katrina Bettcher, an independent archaeologist, reported that the chuño was found alongside an Inca pottery fragment and a broken spindle whorl, a tool used to spin fibers, such as raw wool, into yarn or thread.

The discovery happened during the 2024 field season at Tambo Viejo, an Inca provincial center in the Acarí Valley, where an archaeological team had worked for several years. Inside a small storage room, the team uncovered a clay pot sunk into the dirt floor, its top half long gone. As researchers scooped soil out of the broken pot, they reached its bottom.

"Almost at the base of the vessel, the two samples of freeze-dried potatoes were found," Valdez said. "They showed me without knowing what they were, and right away I said: chuño!"

Potatoes are roughly 80% water, and they typically rot within a week at lower, warmer elevations — making them a poor food choice for long-distance storage. Valdez said freeze-drying was likely discovered long before the Inca rose to power in the 15th century, perhaps when potatoes that were accidentally exposed to frost at a high elevation became dried out and people realized the result was still edible.

Because chuño can be made only above roughly 11,800 feet (3,600 meters), the samples at Tambo Viejo must have traveled down from the highlands, most likely via a llama caravan along the Inca road network, Valdez said.

"Chuño being a light product probably also made its transportation easier," he added.

The two freeze-dried potatoes survived thanks to the Acarí Valley's extremely dry conditions, which help preserve organic remains that would otherwise decay — the same conditions that have previously yielded naturally mummified guinea pigs (Cavia porcellus) in Valdez’s previous work at the site.

Beyond its archaeological importance, the ancient preservation method has lessons for today. "We still have so much to learn from the people of the past," Valdez said. "Food security is a main concern, even in our times; yet we waste food, perhaps more than at any time in human history."

Relatively few Inca sites along Peru's coast have been systematically excavated, and Valdez expects more evidence of chuño — and the long supply lines that carried it — to surface as archaeologists keep digging.

Do you know where pumpkins and blueberries come from? Find out with our fruits and vegetables quiz!

Trees in China that were planted as part of huge reforestation projects appear to grow faster than those in natural forests, a new study finds. This is possibly because the reforestation trees are responding more strongly to the rising atmospheric carbon dioxide, scientists say.

China is quickly turning green. The country has planted 66 billion trees since 1978, with plans for 34 billion more by the middle of this century, as part of its "Great Green Wall" to slow the spread of the Gobi and Taklamakan deserts.

These new forests absorb large amounts of CO₂, but it is unclear exactly how they differ from natural ones, study first author Yuhang Luo, a landscape ecologist at Peking University in Shenzhen, China, told Live Science.

Luo and his colleagues set out to study how differences between natural and planted forests, including species diversity, tree density and age, might affect how the forests respond to rising CO₂ and climate change.

"Planted forests are widely used in climate mitigation strategies, but most global ecosystem models do not distinguish between forest types or represent age-related dynamics adequately," Luo said. "So we felt it was important to clarify how these factors interact — not just for scientific understanding, but also for improving the models and assumptions that underpin real-world forest policy and carbon accounting."

Planted forests are those purposefully created by humans, such as those in the Great Green Wall. Natural forests, on the other hand, grow without human intervention.

The researchers used satellite data to track leaf area index, a measure of canopy density and a key driver of carbon uptake, to determine how fast the different forest types grew, and found a striking difference: Planted forests increased their leaf area 66% faster than natural ones.

Most of that difference was due to planted forests being, on average, much younger than the natural ones — and young trees grow faster than old ones. But even when comparing forests of similar age and growing conditions, the planted ones still grew 4.6% faster, and the difference was even more pronounced in mixed and evergreen forests.

This is largely due to how planted forests are managed. They tend to feature fast-growing species like eucalyptus and poplar and are often actively managed, with people removing competing vegetation and even fertilizing them. These interventions reduce competition for light, water, and nutrients, amplifying the fertilization effect of rising atmospheric CO₂.

This discrepancy peaks in planted forests when trees are around 30 to 40 years old and then declines noticeably after age 40. In contrast, natural forests grow more slowly but steadily, so have an advantage over the long term.

"Planted forests can be a powerful short-term tool for carbon uptake, but this advantage is temporary," Luo said. "For long-term carbon storage and resilience, natural forests remain irreplaceable."

Kevin Dsouza, who worked on reforestation models during his postdoctoral research at the University of Waterloo and was not involved in the new study, said the results make intuitive sense, as the sprawling leaves of young, fast-growing trees could lead to increased carbon take-up. But he is not sure that leaf area is the best measurement for tracking growth and carbon sequestration.

"It's not a bad proxy, but it doesn't give you the full picture," he said. "The canopy is just the top of the tree and the carbon is stored in all sorts of different places like wood, bark, roots and soil."

Another study of Chinese forests found that natural forests actually accumulate more carbon above ground than planted ones in their early years, Dsouza pointed out, so these results should be considered carefully alongside other factors.

Luo said the findings show that most global climate models are missing something when it comes to understanding how various forest types play a role in carbon sequestration and climate change.

"Land use management works in more subtle and specific ways than we had assumed," he said. "It is not just about planting more trees. It is also about when you plant them, what species you choose, and how you manage them over time."

Luo hopes these findings will help guide reforestation efforts, to ensure we get the most benefit from planting new forests to help mitigate the effects of climate change.

"Our work offers a more practical guide for forest-based climate action: when to plant, what to plant, how long the benefits last, and what current models are getting wrong. We hope that helps people make better decisions," he said.

A breakthrough in photonic chips could make large, costly, ultrafast lasers dramatically smaller, leading to portable and affordable imaging, diagnostic and information-processing devices, researchers say.

By using a decades-old overlooked laser architecture, scientists managed to fit an ultrafast laser onto a tiny photonic chip — a chip that uses light, rather than electricity, for computing operations.

In a new study published June 3 in the journal Nature, the team demonstrated that a tiny laser on the photonic chip could deliver 1.05 nanojoules of energy in 147-femtosecond (147 quadrillionths of a second) bursts — thereby competing with the output of laboratory-class ultrafast lasers.

Ultrafast lasers are used in a variety of applications, from precision manufacturing and eye surgery to biological imaging and atomic clocks, but the systems needed to power them tend to take up whole tabletops in labs or factories. Yet the powerful output of these laser pulses made them difficult to miniaturise onto photonic chips.

"For more than twenty years, a high-pulse-energy femtosecond laser on chip was widely regarded as a holy grail of integrated photonics," Tobias Kippenberg, a photonics professor at the Swiss Federal Institute of Technology(EPFL), said in a statement.

"Our result shows that it is not only possible, but that it can be achieved with a surprisingly elegant architecture that the integrated-photonics community had overlooked."

Forward-thinking breakthrough comes from looking back

Photonic chips manipulate light by using microscopic structures called waveguides — usually in the form of optical fibers or etched cavities — to carry information. They aren't particularly novel, and can be found in fiber-optic communications, medical sensors and lidar systems.

But photonic chips have previously struggled when handling high-powered, ultrafast lasers. That's because they need to contain light to extremely small waveguides, leading the light to interact strongly with itself and destabilizing the laser pulses.

To tackle this problem, the researchers looked at a laser architecture called the Mamyshev oscillator, created in 1998 by Pavel V. Mamyshev, a physicist and engineer at Bell Labs.

This oscillator, which has received little attention in the world of photonic chips, works by placing a nonlinear waveguide between two optical filters. This causes a high-intensity laser pulse to expand into a broader range of colors that can then pass through both filters while weaker light, which can cause laser destabilization, is blocked out. This technique essentially means that a high-intensity laser pulse can be maintained.

Because the Mamyshev oscillator doesn't require extra components to manufacture on a chip, it presents an attractive design for use on photonic chips. And although the laser cavity needed to direct an ultrafast laser is 16.5 inches (42 centimeters) long, it can be folded to occupy around the same area as a match head. This can't be done with conventional fiber-optic-based lasers, often used in photonic chips.

That takes care of the size, but the cost of ultrafast laser systems is another challenge. But because photonic chips can be fabricated using silicon wafers in the same fashion as computer chips, more than 1,000 laser cavities could potentially be produced in a single batch, the researchers said. As such, photonic chips with ultrafast laser capabilities could be produced at scale, in turn reducing manufacturing costs and even expanding their use.

Photonic chips capable of handling ultrafast lasers could, in the future, lead to portable tools for tasks like detecting pollutants or performing advanced medical diagnostics in the field, the researchers noted in the study. The technology also opens the door to smaller atomic clocks that can benefit navigation and future communications.

This eye-catching satellite snap shows off a sprawling mass of petrified lava surrounding the jet-black slopes of a potentially dangerous volcano in the heart of the Sahara. A smaller volcanic "skull" lurks near the shadowy peak's base.

Toussidé (also known as Tarso Toussidé) is a "potentially active" stratovolcano located within the Tibesti Mountains, which cover around 40,000 square miles (100,000 square kilometers) of northern Chad and southern Libya. The dark peak stands 10,712 feet (3,265 meters) above sea level, making it the second-tallest mountain in the Tibesti region.

The name Toussidé roughly translates to "which killed the local people with fire" in the language of the nearby Indigenous people, hinting at a destructive and deadly history. However, according to the Smithsonian Institution's Global Volcanism Program, there is no evidence that the volcano has erupted during the Holocene — the current geological epoch, which began around 12,000 years ago. It is unclear if it has actually killed anyone.

The dark blob surrounding the volcano is known as a massif. It is made up of layers of overlapping magmatic rock left by multiple ancient lava flows that effusively erupted, or slowly poured from, the volcano's summit.

The shadowy structure, which is up to 20 miles (32 kilometers) across at its widest point, stands out against the surrounding sand-covered plateau, which has been carved into a network of crisscrossing canyons by eons of wind blasting, according to NASA's Earth Observatory.

Just southeast of the massif (in the upper right of the photo), there is a small, white circle containing several dark patches. This is Trou au Natron — a roughly 3,300-foot-deep (1,000 m) volcanic crater, or caldera, which looks eerily like a giant skull when viewed directly from above.

The cranium-like caldera likely formed during an explosive eruption more than 120,000 years ago. It was once filled with a giant salt lake that was home to ancient algae and other microorganisms. When the lake dried out, around the start of the Holocene, the receding water left behind a thick layer of white salt surrounding a pair of eyelike volcanic cones.

Toussidé is one of the youngest mountains in the Tibesti range, which formed by similar effusive eruptions long before the stratovolcano was born. The entire region likely once matched the massif's dark hue before being relentlessly bombarded by sand and wind. In another 100,000 years or so, the massif may blend in with the surrounding plateau, according to the Earth Observatory.

While the shadowy volcano has remained dormant for several millennia, it occasionally puffs out steam from small vents, or fumaroles, near its summit, suggesting that it is still technically active, according to the European Space Agency. However, geologists have not properly assessed its eruptive potential.

Nearly 2,000 years ago, Mount Vesuvius buried a vast collection of scrolls in ash and scorched them into solid black lumps. Now, without unrolling them, researchers have virtually read two of them —‬ and uncovered what may be a work by a well-known Stoic philosopher.

The breakthrough comes from the Vesuvius Challenge, an international research effort to digitally read the scrolls that were preserved when Pompeii and Herculaneum were buried by ash and pumice in A.D. 79. Papyrologists, who study and preserve the ancient manuscripts, announced June 25 that they had digitally unwrapped the surviving portion of one scroll, known as PHerc. 1667, revealing roughly 5 feet (1.5 meters) of continuous Greek text across 20 columns. Researchers also recovered more than 70 columns of text from a second scroll, PHerc. 172.

"For nearly two millennia, many of these texts have been physically preserved but intellectually inaccessible," Brent Seales, Vesuvius Challenge co-founder and a computer scientist at the University of Kentucky, said in a statement. "Today ‪—‬ after years of interdisciplinary work combining advanced imaging, artificial intelligence, academic research and an innovation contest ‪—‬ we are finally able to read them."

Over the past few years, Seales and his team have used a synchrotron to essentially X-ray inside the scrolls and detect the ink ancient Romans used to write. The letters are then studied by papyrologists, who translate the text.

Part of PHerc. 1667 was physically opened in the 1980s, but overlapping layers obscured the writing so badly that the scroll was given a readability score of zero, Federica Nicolardi, a papyrologist at the University of Naples Federico II, said in the statement.

The handwriting and text of PHerc. 1667 suggest the scroll dates to the second or third century B.C., making it one of the oldest scrolls in the Herculaneum collection. This early date means it could not have been authored by Philodemus of Gadara, the first-century-B.C. Epicurean philosopher whose writings dominated the Herculaneum library.

Experts think the text reads more like a Stoic treatise on ethics and human behavior, and it specifically mentions Aristocreon, the nephew and pupil of the influential Stoic philosopher Chrysippus. Very little of Chrysippus' own writing has survived, so if the attribution holds up, it would be a significant addition to the historical record of early Stoic thought.

In a separate discovery, researchers identified a new book title within scroll PHerc. 139. The end of the scroll references Philodemus' eighth book of "On Gods." While this treatise had previously been known to exist, the new discovery reveals the work extended across at least eight volumes. Experts plan to reexamine other texts in the Herculaneum collection for additional volumes that may belong to the same series.

More than 600 Herculaneum scrolls remain unopened. It's thought that the villa was once owned by the father-in-law of Julius Caesar.

How much do you know about the Roman town destroyed by Mount Vesuvius? Find out by taking our Pompeii quiz!

About a decade ago, the Japanese government spotted a worrying pattern: Pediatricians were doling out a ton of antibiotics, well beyond what should be needed to treat the bacterial infections coming through their doors.

Antibiotics treat bacterial infections, not those caused by viruses, fungi or parasites. Yet doctors were often sending young patients home with antibiotics for illnesses unlikely to be bacterial. Treating nonbacterial infections with antibiotics can fuel antimicrobial resistance (AMR) and the rise of superbugs by unnecessarily exposing bacteria to the drugs, pressuring those bacteria to evolve strategies to survive. Resistant bacteria can then spread their adaptations to others, thereby compounding the problem.

In the long run, resistance could make common infections impossible to treat with existing drugs, raising the risk of serious illness and death across the population.

When pediatricians in Japan did treat bacterial infections, they were overusing the antibiotics that are likely to fuel resistance — "broad-spectrum" drugs that target many bacteria at once. When compared against 35 other high-income countries in 2015, Japan ranked dead last in the appropriateness of antibiotic choices for kids under 5.

One way to slow the development of AMR is to get antibiotic prescriptions under control. So Japan focused on one of its biggest sources of problematic antibiotic use: pediatric outpatient clinics.

"The clinics are a particular problem," said Dr. Yusuke Okubo, chief of clinical epidemiology and health services research at the National Center for Child Health and Development, a research center and hospital in Tokyo. Looking at Japan's overall antibiotic use, "90% of prescriptions are [from] outpatient clinics, not hospitals," Okubo told me. (Outpatient practices account for a similar proportion of antibiotic prescriptions in the U.S.)

A large proportion of problematic prescriptions were being written for children under 3 years old, especially those with upper respiratory tract infections, which nine times out of 10 are caused by viruses, Okubo said. The stomach bug gastroenteritis was another biggie for overprescription, despite most often being caused by a virus.

Government officials hatched an idea: What if each time a pediatrician chose not to prescribe an antibiotic in these cases, they earned a small financial reward — a tip for making a better choice? Each tip would be small, amounting to about $5 per claim at today's exchange rate, but could translate to thousands of extra dollars of annual income for individual clinics. That's no small matter for Japanese pediatricians, who Okubo estimates earn roughly $90,000 to $100,000 a year.

This incentive program, rolled out in 2018, has proved a success, so much so that it's since been expanded to cover more patients, more clinics and a wider variety of diseases. But what made the program work? I went to Japan to find out what systemic and cultural factors contributed to the program's success. Ultimately, I wanted to see whether other countries, like the U.S., could learn from this nationwide experiment.

The quietly rising threat of resistance

With bacteria, as with animals, it's survival of the fittest. When exposed to antibiotics, a percentage of bacteria die, while others survive. That surviving population has traits that help them withstand the drug's effects, which are encoded in "resistance genes." Bacteria can transfer those genes to the next generation by multiplying, as well as physically pass those genes to nearby bacteria. Plus, they can pick up new resistance genes through random DNA mutations.

All antibiotics come with the risk of pressuring bacteria to evolve resistance — it's an inherent feature of the drugs. However, broad-spectrum drugs carry the greatest risk, because they place pressure on a wider variety of bacteria than narrow-spectrum drugs do. The 2015 cross-country comparison found that Japanese doctors prescribed antibiotics with the lowest risk of resistance only 35% of the time, meaning most antibiotic prescriptions were for broader-spectrum drugs.

It's sometimes necessary to use broad-spectrum drugs — such as when an infection is resistant to narrow-spectrum options — but using broad-spectrum antibiotics when they're not needed hastens the development of AMR. So does using antibiotics for nonbacterial infections. In both scenarios, you're introducing evolutionary pressure that could have otherwise been avoided.

Globally, resistance is rising among common disease-causing bacteria; it's far outpacing the development of alternatives to antibiotics. In 2021, resistant bacterial infections directly caused 1.14 million deaths worldwide and contributed to another 3.57 million deaths. Those numbers could climb dramatically by 2050 if swift action isn't taken now.

Common pathogens already show high rates of resistance in Japan, and resistant germs contribute to thousands of deaths each year, with most occurring among older adults. People over 65 make up about 30% of Japan's population. As that percentage grows in the coming years, AMR-related illness may also increase, health officials worry.

Japan's youngest residents are also at risk, though, as resistant bacteria can sometimes pass from mothers to newborns at birth and can cause serious complications, like sepsis. Resistance has also been detected among respiratory bugs that frequently infect kids, such as Mycoplasma pneumoniae, said Dr. Takemi Murai, deputy head of the Infectious Diseases Division at Nagano Children's Hospital in Azumino. "There have been outbreaks of Mycoplasma that are resistant to antibiotics," he said.

Yet not long ago, the unrestrained use of antibiotics was a mainstay of Japanese medicine. (I'll dig into the myriad reasons why in later installments of this series.)

National insurance data sampled from 2005 showed that 60% of patients in Japan with nonbacterial upper respiratory tract infections were prescribed antibiotics, mostly broad-spectrum ones like third-generation cephalosporins, macrolides and quinolones. Most of those prescriptions came from clinics.

Something had to shift.

Tips for appropriate treatment

In 2016, Japan got serious about reducing its antibiotic misuse, releasing its first National Action Plan on Antimicrobial Resistance. It aligned with a global plan from the World Health Organization, which aimed to raise awareness of AMR and optimize the use of antimicrobials, including antibiotics, among its member states.

Two of Japan's big goals were to slash overall antibiotic use by 33% and broad-spectrum antibiotic use by 50% by 2020. The country came very close to hitting those ambitious targets by the deadline, and doing so was no small feat. The tipping program was just one of a slew of initiatives introduced to improve AMR awareness and antibiotic use.

Prior to the incentive's introduction, Japan's Ministry of Health, Labour and Welfare (MHLW) — whose role is somewhat analogous to the U.S. Department of Health and Human Services — rolled out educational campaigns for doctors and patients and wrote a manual for antibiotic use, with the first edition directed primarily at outpatient doctors. It emphasized that most acute respiratory tract infections and acute diarrheal diseases don't require antibiotics.

Among kids, children under 5 saw the highest antibiotic prescription rates, often receiving the drugs for respiratory infections. Data showed this overprescription problem was the worst in children under 3 being assessed for upper respiratory infections or acute gastroenteritis. The government's solution? Pay doctors extra to withhold antibiotics when faced with cases that don't warrant them.

"If the clinicians provide more appropriate medical services, we add additional payment," said Dr. Takuma Kato, a counselor at the Permanent Mission of Japan to the United Nations who previously worked on the incentive program for MHLW. In this case, they pay "a little bit more" when doctors don't give patients antibiotics for illnesses that are likely viral, he said.

A "little bit more" is accurate. Each tip is 800 yen, equivalent to about $7.20 when the program launched in April 2018 and about $5 at today's exchange rate.

Here's how it works: A caregiver brings in their sick infant or toddler for an initial visit, and the pediatrician determines the child likely has an acute upper respiratory tract infection or gastroenteritis. These illnesses are typically caused by viruses, so the doctor decides not to provide an antibiotic. The doctor explains this rationale to the caregiver and provides guidance for home care. If the appointment checks those boxes, the clinic can claim an extra 800 yen when they seek reimbursement.

Because mild viral infections typically resolve on their own in a few days, a strategy called "watchful waiting" can help clarify if a bacterium is actually at fault. So if a doctor does prescribe an antibiotic at the first visit, they'll often encourage the caregiver to bring the child back if their condition remains the same or worsens within a few days. The incentive and this "waiting" strategy go hand in hand.

There are a few technicalities. For example, the children being assessed must have no underlying conditions that might complicate their case, such as a weakened immune system. If children test positive on a formal diagnostic test for influenza or COVID-19, the incentive cannot be claimed. To qualify for the incentive, clinics must specialize in pediatrics and use a "comprehensive" payment system, meaning patients pay a standardized amount for the whole appointment rather than the itemized "fee for service" that is ubiquitous in the U.S.

Despite this fine print, the perk is pretty appealing for the clinics that claim it. "I think pediatric doctor associations are really happy," Okubo said.

Doctors say "small incentives add up"

The Japanese government generally incentivizes doctors to adjust their behaviors, rather than penalizing them for poor practices, Okubo said.

"It's a constructive message from the government: 'You changed your behavior, so we'll pay something,'" Okubo said. "This constructive approach motivates physicians, especially pediatricians, to apply their common sense to their actual practice."

This system is readily accepted by Japanese doctors, who have historically held a lot of political power, Kato noted. Just like in the U.S., their professional groups, such as the Japan Medical Association, lobby the government and typically push against policy proposals that they view as potential threats to their bottom line.

By contrast, an incentivizing approach is "very, very welcome, especially by the doctors' associations," said Dr. Norio Ohmagari, director of disease control and prevention at the National Center for Global Health and Medicine, part of the Japan Institute for Health Security (JIHS) in Tokyo. Ohmagari also leads the AMR Clinical Reference Center, which collaborates with the WHO on AMR countermeasures.

Doctors I asked confirmed that they like the incentive, namely because it boosts their profits.

"I apply for the pediatric antibiotic appropriate use support premium each time" it's applicable, said Dr. Yusuke Shibata, who runs the Shibata Pediatric Clinic in Asakusa, a historic district in Tokyo's Taito ward. "I appreciate the premium, as pediatric clinics already have low profits" compared with clinics that care for adults, Shibata told me in an email after I visited his clinic.

For first visits with kids under 6, clinics are paid a base rate of 6,040 to 7,210 yen, or about $38 to $45 at current exchange rates. An extra 800 yen (about $5) increases that fee by more than 10% — "a huge amount," Okubo emphasized.

Shibata estimates that his clinic sees about 30 to 40 patients with an acute respiratory infection or diarrhea each week, depending on the season. He can potentially claim the incentive for the first visit with each of these patients, assuming they don't have any conditions that would disqualify the claim.

On the high end, Shibata estimates that he might claim the incentive 180 times in a single busy month, which would total 144,000 yen, or about $900.

Dr. Atsushi Miyahara, who runs the Karugamo Clinic in the Setagaya-ku ward in Tokyo, said he was already conservative about using antibiotics so the incentive rewards him for sticking with his status quo.

Fifteen years ago, when Miyahara opened his clinic, he noticed that other physicians prescribed a lot of antibiotics, and he questioned the practice due to the potential to fuel resistance. He provides his patients with informational flyers that explain the risks of resistance and how avoiding unnecessary prescriptions can reduce that risk. When antibiotics are needed, he predominantly uses narrow-spectrum drugs that pose a relatively low risk of resistance.

Miyahara said the local government and medical associations announced the antibiotic incentive when it was launched, and he felt its introduction has been very positive. It's increased his revenue and encouraged him to continue his stewardship practices. He estimates that for every 50 of his first visits with patients, he claims the incentive 10 to 15 times, so it applies to at least 20% of those visits.

The incentive's impact

Because some pediatric clinics qualified and others didn't — due to fee-for-service clinics being excluded — Okubo and his colleagues could directly measure whether the policy worked.

To assess the incentive's effects in its first year, the researchers looked at insurance claims from over 10,000 medical facilities from just before and after the policy's introduction. About 3,000 of the facilities qualified and claimed the incentive 316,770 times, totaling 253 million yen ($2.29 million at the time). These eligible clinics saw a 17.8% reduction in their total antibiotic use over a year without any negative effects for patients, such as higher hospitalization rates.

To see if those effects lasted, the team drew years of data from over 165,000 young children who went to either eligible or ineligible clinics. Within the first month of the policy's implementation, the former group of children saw a nearly 45% reduction in total antibiotic prescriptions, compared with the other kids. Cumulatively over the next four years, their overall antibiotic use and broad-spectrum-antibiotic use was 20% and 24% lower, respectively.

The decrease in antibiotic prescriptions did not come with an uptick in hospitalizations or healthcare costs, although there was a slight increase in the total number of doctor's visits. But that's what you'd expect as doctors track an infection over time, Okubo explained, meaning they likely employed the watchful-waiting strategy and had parents bring their kids back in if they didn't improve quickly.

Okubo's team has continued to track pediatricians' antibiotic use, and he noted that they're seeing "spillover effects" among age groups not covered by the incentive. In the under-20 age group, outpatient antibiotic prescriptions fell by 50% between 2011 and 2022. He thinks the incentive is a key driver of this trend, directly reducing prescriptions for the youngest kids while also triggering ripple effects in older groups. (This research will soon be published in a peer-reviewed journal.)

That said, there's room to improve doctors' selection of antibiotics when they are used, as the ratio of broad- to narrow-spectrum drugs is still too high. "Total antibiotic use was reduced, but its quality should be improved further," Okubo said.

The incentive's evolution

While the 800-yen tip has proved significant to clinicians, the incentive represents a very small slice of overall government healthcare spending, which totaled 468 billion yen ($3.1 billion) in 2022.

"This program is not large compared to the whole budget," Dr. Kosuke Sasaki, who works in the MHLW's health insurance bureau, told me. The program's budget has no upper limit, so if the number of claims from clinics increased, there isn't a cap on how many could be paid out. "The number of doctors using this program has increased while the number of antibiotic prescriptions has decreased since the start," Sasaki's colleague Dr. Tomonori Aoki added, noting that the government isn't concerned about how to pay that rising bill.

The program's measurable impact and low price tag may explain its growth over the years.

Every two years, Japan's Ministry of Finance hands the MHLW its slice of the government budget, and MHLW then revises the pricing for drugs, medical devices and healthcare services. The antibiotic incentive falls under this revision process and has been expanded several times.

During its first revision in 2020, the incentive was extended to children under 6. In 2022, ear, nose and throat specialists (ENTs) newly qualified for the incentive; like pediatricians, they treat many acute infections in kids and tend to overuse antibiotics, insurance data suggested. That same year, doctors could start claiming the fee for ear infections and sinus infections.

"I see a tendency for pediatric clinics to avoid prescribing antibiotics, but I do see some ENT clinics prescribing antibiotics carelessly," Shibata, the clinic owner in Asakusa, Tokyo, told me. So ENTs seem to be a logical next target.

In 2024, a separate, facility-level incentive was introduced as a complement to the 800-yen incentive. It encourages clinics to submit data to a government database that tracks antibiotic use. If first-line, narrow-spectrum antibiotics make up a certain percentage of the clinic's overall prescriptions, that clinic earns extra money, Okubo explained.

Ultimately, the 800-yen incentive helped put AMR on the radar of doctors who didn't take it as seriously as experts like Kato, who told me "AMR is kind of my life's work." Kato and researchers like Okubo see the program as a success, although they pointed to room for improvement in antibiotic selection. Ministry officials like Sasaki and Aoki said the program is easy to implement and makes a difference. Clinic doctors like Shibata and Miyahara appreciate the incentive and use it consistently. All in all, at just $5 a claim, the incentive has been remarkably effective.

In speaking with experts in Japan and the U.S., I've learned that U.S. doctors have historically faced the same pressures and showed similar lapses in antibiotic use that Japanese doctors have. However, the U.S. does not have an incentive program like Japan's. Should it launch one?

In the next installment of this series, I'll explore a central feature of this problem: the motivations behind pediatricians' antibiotic misuse. What are they, and do those motivations differ between doctors in the U.S. and Japan? Answers to those questions will help determine whether a similar incentive might have the same impact in both places.

A Chinese system has become the world’s most powerful supercomputer, surpassing American machines for the first time since 2021.

LineShine, installed at China’s National Supercomputing Center in Shenzhen, clinched the top spot in the 67^th TOP500 ranking of the world’s most powerful supercomputers. The new system has already been used in a range of fields, giving developers another route to achieve supercomputing power.

The machine, which came online in the first half of 2026, can reach speeds of 2.198 exaFLOPS — where 1 exaFLOP is 1 quintillion (10¹⁸) floating-point operations, or mathematical calculations, per second (FLOPs) — making it the only supercomputer on the planet to exceed 2 exaFLOPS per second. It's also the first time China has hosted the world's fastest supercomputer since 2017.

A FLOP is a type of calculation used to benchmark computing performance. Exascale supercomputers can perform more than 1 quintillion of these operations every second. In comparison, home computers can perform roughly 5 trillion FLOPS.

According to TOP500, LineShine can achieve speeds about 22% faster than El Capitan, a supercomputer housed at Lawrence Livermore National Lab in California that had previously held the top spot since November 2024.

The system’s computing power is the result of "a comprehensive breakthrough in a series of core technological barriers," according to a translated statement from China's National Supercomputing Center.

Unlike many other supercomputers, LineShine uses only central processing units (CPUs) to perform calculations. Other systems rely on both CPUs and graphics processing units(GPUs), which run many jobs simultaneously by dividing tasks among smaller, specialized cores.

Since 2018, the U.S. government has restricted exports of semiconductor chips to China, including GPUs. However, startups such as DeepSeek have wrangled other technological advancements to train artificial intelligence (AI) models with fewer and less powerful GPUs than comparable systems such as ChatGPT.

LineShine "represents a historic leap forward for China's supercomputing field, breaking through foreign technological blockades and building an independent and controllable software and hardware system," the statement read.

The system has already been used on projects in multiple research areas, including atmospheric science, drug discovery and AI, according to the National Supercomputing Center. In general, supercomputers perform extremely complex calculations at speeds much faster than traditional computers can handle, allowing them to solve problems that would otherwise take too long or cost too much to address.

The fastest supercomputers utilize a range of different designs and processors, showing that high-performance computing doesn’t rely on any one single method.

"The list demonstrates that there is no single dominant technology path to leadership-class computing; instead, vendors are pursuing a variety of CPU, GPU, APU, and custom-accelerator approaches coupled with different interconnect and system designs," TOP500 representatives said in a statement.

Following LineShine and El Capitan, two supercomputers at U.S. national laboratories and one in Germany claimed spots three through five on the TOP500 list. Machines in Italy, Switzerland, Japan and the U.S. round out the top 10.

Can you match these ancient devices to their pictures? Find out with our computing quiz!

Homer's "Iliad" and "Odyssey" have inspired countless books, movies and works of art in the nearly three millennia since the epic tales were first written. This small, bronze sculpture, once attached to an ancient box, shows how the Greek epics influenced the aesthetics of the enigmatic Etruscans.

The Sleep and Death cista handle, which is in the collection of the Cleveland Museum of Art, features a set of bronze figurines welded to form a decorative handle for a cista ‪—‬ a small, cylindrical, lidded box used for a variety of purposes in ancient Egypt, Greece, Rome and Etruria, an ancient region in central Italy.

The handle is roughly 7.3 inches long and 7.2 inches tall (18.5 by 18.3 centimeters). The figurines represent Hypnos (the Greek god of sleep) and Thanatos (the Greek god of nonviolent death) bending to lift the body of Sarpedon, one of Zeus' sons who fought in the legendary Trojan War.

Sarpedon fought on the side of Troy, leading his men into battle against the formidable Greeks, according to Book XVI of the "Iliad." The Greek hero Patroclus entered the fray wearing Achilles' armor to trick the Trojans into thinking the greatest Greek warrior had joined the fight and scare off the Trojans. Sarpedon met Patroclus on the battlefield, and even though Zeus wanted to save his son, Sarpedon was mortally wounded. The Greeks stripped Sarpedon's body of his armor, but Zeus commanded Apollo to retrieve the corpse and deliver it to twin brothers Hypnos and Thanatos, "who bear men swiftly away" (translation by A. S. Kline).

The ancient sculptor of this piece "succeeded brilliantly in capturing the pathos and emotion in a scene from Homer's 'Iliad,'" Michael Bennett, former curator of Greek and Roman art at the Cleveland Museum of Art, said in a video. And on a technical level, the piece is much more detailed than a typical Etruscan handle; this one appears to be almost ergonomically designed, as Sarpedon's limply falling hair can be used as a finger grip, according to Bennett.

But the reason the Etruscans adapted the visual aesthetic of Homeric epic to many of their artworks, such as sculptures and wall paintings, is still unclear.

Because the Etruscan language is only partly understood, most information about this civilization, which arose around 900 B.C., comes from outside sources, such as the Greek historian Herodotus, who was writing several centuries later. Herodotus believed the Etruscans came from Lydia in Asia Minor, not too far south of Troy. Coupled with the later legend that Aeneas, a Trojan hero, wandered to Italy after the war and helped found Rome, some experts, such as linguist Robert Beekes, believe the Etruscans may derive from the Trojans or groups that fought on the Trojan side. However, a 2021 genetic study found the Etruscans may have been local.

The Etruscans may have used scenes from the Trojan War to decorate their vases and bronze boxes because they felt kinship with the antagonists in the "Iliad." But they also might have adopted the aesthetics because the Trojan War was a popular theme in Greek art at the time, and vases and other works decorated in this style reached the Etruscans through extensive trade networks. The Etruscans then put their own spin on the stories of the Trojan War, focusing in particular on scenes of death and brutality, classical archaeologist Larissa Bonfante argued in "Etruscan Myths" (2006, British Museum Press).

For more stunning archaeological discoveries, check out our Astonishing Artifacts archives.

Can you put together last week's Astonishing Artifact?

June's full moon, the Strawberry Moon, will rise Monday (June 29) as seen from North America and Europe. As it does, it will be the lowest-hanging and one of the smallest full moons of the year.

The moon will officially become full at 7:56 p.m. EDT on June 29. It will appear nearly full and brightly illuminated Sunday (June 28) and Tuesday (June 30) as well, but the best time to catch it is when it appears on the southeastern horizon at dusk on Monday. At that time, it will be visible on the horizon and remain unusually low in the sky for viewers in the Northern Hemisphere.

Full moons that occur close to the summer solstice, which happened on June 21 this year, follow a lower path across the southern horizon. That's because the solstice places the sun at its northernmost point on the ecliptic (the path of the sun through the daytime sky), so the full moon near that time appears low in the southern sky. Because a full moon, by definition, sits opposite the sun in Earth's sky, it mirrors the sun's path from approximately six months earlier.

Observers in the Southern Hemisphere will experience the opposite effect, with the Strawberry Moon climbing high overhead and becoming the year's highest-rising full moon.

Anyone can see the full moon without specialist equipment. But a decent backyard telescope or pair of binocualrs can help you zoom in on lunar landmarks, like craters and mountains. If you've got a good camera, here's how to take the best photos of the moon.

A low-hanging 'micromoon'

June's full moon will be the second-smallest full moon of 2026, occurring when the moon is 252,442 miles (406,267 kilometers) from Earth — just 63 miles (102 km) closer than the year's most distant full moon, the Blue Moon of May 31, at 252,505 miles (406,369 km). According to Time and date.com, that makes it a micromoon, minimoon or apogee moon.

The Strawberry Moon's name comes from Native American traditions associated with the seasonal harvesting of strawberries and other ripening fruits. According to Almanac, several tribes used other names linked to summer harvests, including the Berries Ripen Moon, Blooming Moon, Green Corn Moon, Hoer Moon, Birth Moon, Egg Laying Moon and Hatching Moon. European names include the Honey Moon and Mead Moon.

As the Strawberry Moon rises into summer skies, look out for a yellowish, bright star to its upper right. That's Antares, a red supergiant star and the brightest in the constellation Scorpius.

Following the Strawberry Moon, the next full moon — known as the Buck Moon — will rise on July 29, setting the stage for both a total solar eclipse and a partial lunar eclipse in August.

How much do you know about the moon? Test your lunar smarts with our moon quiz!

During several recent conversations, people have told me that they've stopped checking their phones in the morning. Not because nothing was happening, but because everything was. They described the feeling as standing under a waterfall of perpetual bad news.

This experience is far from an isolated one. According to Reuters Institute's 2025 Digital News Report, 69% of Canadians at least occasionally avoid the news now.

Globally, 40% report they at least sometimes or often do the same, the highest figure ever recorded. People shared consistent reasons for this: the news put them in a bad mood, they felt overwhelmed and powerless to act.

As a researcher in developmental psychology, focusing on social development and psychological well-being, I argue that news fatigue is not laziness, weakness or a generational decline in civic interest. It's the predictable response of a human brain meeting an environment it was never designed to navigate.

Wired for bad news

Long before smartphones or even the printing press, our cognitive architecture was shaped by a single problem: stay alive long enough to reproduce. Our ancestors whose attention drifted past the rustle in the grass left fewer descendants than those who froze, looked and listened.

The brain that paid attention to threats was the brain that survived.

This is the foundation of what psychologists call the negativity bias, one of the most replicated findings in cognitive science. Across decades of research, the human mind has been shown to weigh negative information more heavily than positive, attend to it faster and remember it longer.

A predator nearby mattered more than a beautiful sunset. The cost of missing a real threat was death, while the cost of overreacting was a few minutes of wasted vigilance. The asymmetry made this bias adaptive.

Here is the problem: the human brain has not changed since then. We are the same species as we were thousands of years ago. What's changed is the size of the world it's asked to scan for threats.

Scanning the whole world

For most of human history, the threats our nervous system processed were local. A neighbouring tribe. A drought. The illness of a child we personally knew. Information about distant places would barely arrive, and if it did, it was mainly irrelevant.

In 2026, the same neurological system is being asked to absorb a war in one region, a financial shock in another, a climate disaster in a third and a violent crime in a fourth, all before lunchtime.

A study published in the scientific journal Nature Human Behaviour examined more than 105,000 real news headlines viewed nearly six million times. Each additional negative word increased click-through rates, while positive words had the opposite effect.

Recent studies suggest people around the world demonstrate measurably stronger physiological responses to negative news than to positive news. The body is reacting before the mind has decided whether the threat is relevant.

Some researchers have introduced a clinical framework for what happens in this instance called Problematic News Consumption (PNC) — a pattern of news engagement that results in preoccupation, dysregulation and disruption to daily functioning. In their 2022 study, the researchers found that 17% of American adults qualified as having severe levels of PNC. Among that group, 61% reported feeling unwell quite a bit or very much, compared with 6% of those who didn't.

For minority populations, news fatigue may be even more consequential.

Repeatedly witnessing harm directed at our own groups, even when we're not the immediate target, can have a significant psychological impact on people from the same group affiliation. For racialized communities, such as immigrants, the cognitive load could be even heavier, and the option to simply stop watching is much harder to exercise when the news is about their country of origin.

Looking away is not the fix

What's the solution to news fatigue? Well, it's not avoidance. A democracy depends on informed citizens.

Many adults already cite the spread of misleading information as a major source of stress. Withdrawing from accurate, trustworthy information only deepens the problem. We're wired to pay more attention to bad news, and that kind of content will find its way to us one way or another.

The fix is to manage the consumption and the sources.

Several approaches can help manage news fatigue and protect mental health. Containing news consumption to defined windows of time reduces the sense of being overwhelmed. Choosing depth over volume also matters: one carefully reported long-form article will inform you better than bursts of random, unreliable and emotionally loaded posts on Instagram.

There is also value in distinguishing between information and action — research on perceived control and stress consistently shows that the gap between awareness and agency is one of the strongest predictors of psychological distress. Identifying what you can actually do about what you read in the news, however small, regulates that response.

Finally, be wary of "rage bait" — intentionally provocative messages or content designed to boost engagement on social media platforms by eliciting negative reactions. Recognizing that certain content creators want to provoke rather than reflect reality creates useful cognitive distance.

The news will not become less "heavy." But our relationship with it can become more deliberate. Our brains were not built for this scale of input. They were, however, built to learn to adapt.

This edited article is republished from The Conversation under a Creative Commons license. Read the original article.

Earth may survive the fiery death of the sun, even as our star engulfs the innermost planets, a new study using state-of-the-art models suggests.

The findings offer a potential alternative fate for our planet, which was thought to face certain death as the sun engulfs it in a thermonuclear inferno billions of years from now. As a yellow dwarf star, the sun is expected to have a relatively calm, 10 billion-year life. But in about 5 billion years, it will run out of hydrogen to fuse in its core and begin fusing hydrogen in its shell, causing it to expand enormously into a red giant star and then an even larger "AGB star," before it ultimately dies as a white dwarf.

Now, in a Letter to the Editor published June 19 in the journal Astronomy & Astrophysics, astronomers used stellar evolution models and observed a nearby dying star to reassess Earth's ultimate, potentially fiery fate.

Solar tug of war

When the sun enters its later life stages, Earth will be at the mercy of two competing forces — a fate shared by countless worlds throughout the unimaginably immense span of cosmic time.

As the sun expands to potentially hundreds of times its current size, the increased tidal forces will pull Earth toward our rapidly ballooning, sputtering star. Yet the surging sun will also lose its puffed-up outer layers into space through stellar wind. As it sheds much of its mass and becomes lighter, its gravitational grip will weaken, allowing our planet to escape outward into the depths of the solar system, the models show.

"The fate of Earth depends on a delicate balance between these two effects," Mats Esseldeurs, a doctoral candidate at KU Leuven's Institute of Astronomy in Belgium and first author of the study, said in a statement. "If tidal interactions dominate, Earth is engulfed. If mass loss dominates, Earth escapes to a wider orbit."

Previous research only muddies the issue. Studies have made different assumptions about solar mass loss, tidal forces and planetary interactions that may occur as the inner solar system evolves. As a result, it's uncertain if Earth will survive both of the sun's giant phases before our star shrivels into a tiny-but-dense stellar corpse called a white dwarf.

In a glimmer of hope, astronomers have discovered intact worlds around white dwarfs. On the other hand, some white dwarf systems are littered with the rocky remnants of their destroyed planetary children. So the researchers observed the formerly sunlike, dying giant star L2 Puppis, located 200 light-years away in the "poop deck" constellation Puppis, to glimpse our solar future. L2 Puppis may be losing up to one-millionth of a solar mass per year, according to previous estimates, expelling a dusty disk that's thought to harbor a planet 12 to 16 times the mass of Jupiter.

Additionally, the researchers performed state-of-the-art gravitational calculations "based on the internal structure and dynamics of evolved stars," modeling the orbital evolution of the inner solar system and the sun's lifespan from its infancy to its final phase as a "burned out" white dwarf.

So long, Mercury and Venus

Based on observations of L2 Puppis' mass loss, combined with the updated stellar evolution models, the researchers projected that Earth will survive as it shifts to just outside the expanding sun's radius.

"The largest uncertainty no longer comes from the tidal calculations, but from how much mass the future sun will lose," Esseldeurs said in the statement. "Observations of sun-like giant stars currently point towards Earth's survival, but we need better observations before we can be certain."

But even if Earth survives, our solar system siblings will not be spared; the simulations suggest Mercury and Venus will be engulfed by the hellish blaze of our dying star.

Additional stellar observations and improved models will help elucidate our planet's fate. For example, the European Space Agency's PLATO mission, a space telescope that aims to search for Earth-like planets around sunlike stars, will launch next year. It will likely detect planets around aging stars, thus providing a more accurate account of this potentially doomed population.

See how much you know about the sun with our sun quiz!

As I sip coffee in my Berlin apartment and fire a question at Google's AI chatbot Gemini, it's easy not to think about the energy it takes to generate a response. Once the signal reaches my router, it whizzes, I assume, through copper wires or fiber-optic cables to one of Google's data center hubs. Somewhere inside the data center's labyrinthine halls of stacked processors, my query gets converted into numbers and undergoes billions of computations to determine context and meaning. The answer, once assembled, races back, in the blink of an eye.

Data centers — the beating hearts of the internet, powering everything from email to web searches — have existed for decades, but with the growing popularity of AI to generate text, images and video, they're using more energy than ever. According to Google's own estimates, processing a median-length text prompt with its AI assistant Gemini consumes around 0.24 watt-hours.

These amounts, individually small — 0.24 watt-hours is equivalent to watching TV for about nine seconds — are adding up fast. In March 2026, OpenAI estimated that more than 900 million people use its AI chatbot, ChatGPT, every week, tallying billions of queries daily.

The exact amount of electricity consumed by data centers, globally or in the United States, which hosts more than any other nation, isn't publicly reported by all tech companies, says Eric Masanet of the University of California, Santa Barbara, who researches data center sustainability. But according to the most recent estimates by the International Energy Agency, US data centers guzzled some 224 terawatt-hours of electricity in 2025 — more than 5 percent of the country's electricity use. That's a significant uptick from an estimated 1.9 percent consumed in 2018, well before the mainstream surge of generative AI.

This electricity use seems set to soar. In the race to secure market leadership for generative AI products, companies like Google, Meta, Amazon, OpenAI, Anthropic, Microsoft and Oracle are investing tens to hundreds of billions of dollars to build AI-focused data centers. Compared to data centers of the pre-AI days that consume, say, 100 megawatts of electricity — enough to power 83,000 homes with average demand — the newcomers are often "hyperscale" and can use a gigawatt or more, or roughly a tenth of the electrical capacity of Los Angeles.

Masanet and other experts have been alarmed to see much of this demand met by plants powered by fossil fuels, such as gas, whose burning releases planet-warming carbon dioxide. A key reason is that data centers are often constructed in places without abundant renewable energy sources like hydropower, geothermal, solar or wind.

Tech companies often offset emissions by investing in renewable energy elsewhere. But unless those clean energy plants make more energy than the data centers use, this strategy — at best — keeps CO₂ emissions of centers in stasis rather than reducing them to a net of nothing, important for halting global warming. "For every megawatt for which we install fossil fuel power," Masanet says, "it sets us back on our progress."

And that's not considering the resources spent on manufacturing the hardware that fills new data centers, or the impacts on communities living near them, which often suffer from air and noise pollution from gas plants and possible strain on local water resources, which are used to cool the data centers.

Although forecasts for AI's energy impact remain devilishly tricky, especially since the size of payoffs from investments in AI are uncertain, it's clear to experts that energy-saving strategies are urgently needed. Without them, according to one 2025 estimate, US data centers could soon be releasing the equivalent of 24 to 44 megatons of CO₂ annually, the latter equivalent to the annual emissions of Norway.

And so computer scientists and engineers are rethinking some of the power-hungry hardware and software that fuel AI. They're working to develop energy-saving algorithms and processor designs, and carefully considering where, and how, data centers are constructed.

"AI's energy cost is not an accident: This is basically a product of how our systems are built," says Fengqi You, an expert in energy systems at Cornell University. But with the right mix of solutions, he says, "we could really reshape the trajectory."

The roots of AI's energy problem

To comprehend AI's energy cost, it helps to understand large language models (LLMs) — the lifeblood of AI text generation tools such as chatbots and AI assistants — specifically, ones based on a design described in 2017 by the machine-learning laboratory Google Brain. This design, transformer architecture, can process text at lightning speed by simultaneously taking each word and weighing its relationship to every other word it sees. It "learns" which words go together by computing how strongly each word relates to all other words in a text, examining each word in many contexts. (A similar design is used for AI image and video generators.)

On a computational level, this happens by converting words or word fragments into numbers and performing additions and multiplications between them. Key to the speed is being able to do these calculations in parallel, made possible by graphic processor units (GPUs) — mostly manufactured by the company NVIDIA — originally invented for rapid 3D rendering of imagery during gaming.

The initial training of an LLM, required to learn all these relationships, consumes vast amounts of energy. Because each word it trains on must be weighed against all others in a given chunk of text, the number of computations the model performs — hence the energy required — increases quadratically relative to the length of text (i.e., doubling the length of text quadruples the number of computations). That adds up quickly given that most LLMs are trained on massive swaths of publicly available internet text. Some estimates suggest that training GPT-4 — the iteration of ChatGPT that launched in 2023 — guzzled between 50 and 60 gigawatt-hours of electricity, enough to power San Francisco for three to four days.

But experts are more worried about the energy costs of using the models to generate data once they've been trained, a process called inference. "You train once, then you inference for a billion people in the world," says Mosharaf Chowdhury, an AI systems expert at the University of Michigan who has been measuring the electricity usage of a handful of large language models that have been made publicly available.

This process is surprisingly inefficient: Each time transformer models generate a word — by selecting the one with the highest probability of following the previous word, given context — they put the query and partially written answer through the model. In doing so, they apply all of the parameters they've calculated during training to understand language patterns — which number in the hundreds of billions or even trillions.

"The fact that you have to do a lot of calculations for a single word to be added — that’s a problematic thing," says Günter Klambauer, an AI expert at Johannes Kepler University in Austria.

Tweaking AI software to save energy

This recognition has triggered interest in smaller language models specialized to specific tasks. These are trained more narrowly, have fewer parameters — say, tens or hundreds of millions — and perform substantially less computation than larger models. In one 2025 paper published by UNESCO, computer scientist Ivana Drobnjak of University College London and colleagues compared energy consumption of Meta's language model Llama-3.1 with smaller AI models dedicated to particular tasks — ones called DistilBART and t5-small-xsum for summarization, and others for translation or answering questions. When used for their respective tasks, the smaller models consumed more than 90 percent less energy than Llama 3.1 on the same job.

And so computer scientists have been driven to build a similar kind of task specialization into LLMs themselves. In "mixture of expert" models, only particular parts of one big model are activated for certain tasks. These parts "learn to handle different patterns in language," Drobnjak says.

This is thought to be one reason why R1, an LLM developed by the Chinese company DeepSeek, reportedly consumed significantly less energy than other models (independent experts have raised doubts about those figures). Udit Gupta, an expert in electrical and computer engineering at Cornell Tech, says that LLMs like Gemini or ChatGPT are similarly routing queries to more specialized sub-models. "There's a lot of work being done on how to assess the complexity of the query or task that's coming from users and then find the right model," Gupta says. (While Google spokesperson Ralf Bremer notes that the 0.24 watt-hours currently spent on processing median-length Gemini prompts is already 33 times more efficient than it was back in 2024, some experts suspect that processing queries with an LLM still consumes more energy than an equivalent web search.)

Scientists are also exploring different kinds of LLMs, to break what Klambauer calls the "quadratic curse" of transformer models.

One alternative, called a long short-term memory (LSTM) model, gets around this alarming energy increase by temporarily storing a kind of summary of the prompt that was inputted by the user plus the text generated so far, akin to recalling important plot points instead of an entire movie. That way, it only has to process the summary, rather than all the words in the full text to date, every time it generates a new word. This prevents LSTM's energy costs from skyrocketing as it responds to a query — using about 50 percent less energy than transformer-type models to process texts of around 8,000 words in length, Klambauer says.

LSTM models were developed in the 1990s but were abandoned because transformers could be trained much faster. But Klambauer says that recent advances have improved the performance of LSTM, now called xLSTM. He's working with the Austrian startup NXAI to further develop and optimize xLSTM, "because we think it's worth it for energy efficiency," he says.

But major tech companies have invested so many years and resources into developing transformer-based models that switching to other models would be costly, says Wolfgang Maaß, an AI and business informatics researcher at the German Research Center for Artificial Intelligence. "We have to see whether this becomes as dominant, or whether it finds a niche in the whole market."

Computing with wafers and light

Though experts say the fastest energy savings will come from software tweaks, some are also taking aim at the energy-hungry processing chips that fuel AI computations. Engineers have made chips increasingly efficient over time by packing more computing capacity into individual processors — reducing the energy required to shuttle data between chips that are working together to perform AI computations. Engineers have done this by shrinking the size of transistors — microscopic electrical switches that process data — inside the chips.

But because engineers are reaching the physical limits of how small transistors can be, "we need to think of alternate ideas to improve the designs," says computer architect Ajay Joshi of the Boston University Photonics Center.

One strategy is to make the chips larger. Dinner-plate-sized "wafer-scale chips" can pack nearly 70 times as many transistors as a single, postage-stamp-sized GPU and consume 143 times less electricity for communication than comparable GPUs, says computer engineer Rakesh Kumar of the University of Illinois Urbana-Champaign. Commercially produced by the California company Cerebras, wafer-scale chips have drawbacks, including a greater risk of damage during manufacturing. But because of their energy-saving and other beneficial features, "they would be very attractive to many hyperscalers and AI companies," Kumar says.

Many tech companies have improved energy efficiency by fashioning their own processors that are tailor-made for AI computations — such as Amazon Web Service's Trainium2 chip or Google's Ironwood Tensor Processing Units — according to statements from those companies. As for NVIDIA, the company's head of sustainability Josh Parker says its AI-specialized GPUs have come a long way from the ones used for gaming and are now designed to run AI tasks as efficiently as possible; other innovations, such as making the interconnections between GPUs more efficient, have also helped. "Over the past eight years, NVIDIA GPUs have improved 45,000 [times] in energy efficiency for large language model workloads," he says.

Engineers are also exploring alternative computing methods. Conventional AI processors calculate by encoding numbers in a binary system of ones and zeros, which is achieved by turning transistors on and off (representing the number 5, for instance, requires four transistors to represent the code 0101). But transistors can do more than function as binary switches allowing electron flow or not; they can also work as analog dials and hold intermediate voltages representing different numbers. That requires fewer transistors, and less energy, for computations. "People have known for decades that doing certain things in analog … can be a lot more energy efficient," Kumar says.

For example, electrical engineer Paul Manea of the German research institute Forschungszentrum Jülich and colleagues are working to develop devices called "gain cells" that are full of transistors working this way. Importantly, gain cells can both store the data required to process a query, and compute the answer. That overcomes another big energy bottleneck of conventional computing systems, where memory storage and computation occur on separate pieces of hardware.

That's especially problematic for transformer-based LLMs, because each time they generate a word, they must shuttle the query and partially written answer from memory to a processor. Manea and colleagues estimate that gain cells in lieu of traditional GPUs can reduce the energy guzzled by one of the most energy-consuming parts of transformer-based LLMs by four orders of magnitude. But it will take more refining before they can be more widely used, Manea says.

The notion of devices that both store and compute information is a key idea of "neuromorphic" computing, an up-and-coming field of computer engineering inspired by the human brain, which consumes orders of magnitude less energy than computers. Another brain-inspired invention is chips that encode information not in continuous data streams but — like human nerve cells — in the timing of voltage "spikes" propagating through the system. Allowing components to rest until they're needed "could potentially translate to less energy," says Eleni Vasilaki, an expert in bioinspired machine learning at the University of Sheffield in England.

Maaß, for example, is part of a team that received roughly $5.8 million from the German government to test neuromorphic chips, among other strategies, to reduce the energy required for AI models. Some brain-inspired chips are already commercially available, but the technology is still far from being attractive for mainstream computing, says nanoelectronics expert Tony Kenyon of University College London, whose team recently received $17 million from the UK government to develop neuromorphic computing.

Other scientists are developing chips that process information not with electrons but through the interaction of photons — particles of light — with matter (fiber-optic cables, which encode and transmit data as light pulses, are used around the world). With photons, more information can be transmitted at the same time, and signals can be altered much faster, says Elena Goi, a photonic computing researcher at Friedrich Schiller University Jena in Germany.

Several companies have developed chips that can perform some AI computations with optical methods, says Joshi; he recently estimated that manufacturing optical chips could consume up to an order of magnitude less energy than conventional ones of the same size. Joshi hopes that, "in 10 years, we would have a practical solution that can be deployed pervasively across the data centers."

Reshaping AI's energy trajectory

Even without reinventing how computers work, much can be done to reduce AI's impact not just on energy but also on water resources used for cooling data centers. Importantly, tech companies should reconsider where they build those centers, says energy systems expert You. Right now, existing US ones are concentrated in northern Virginia, which has limited water resources and renewable energy capacity compared with the Midwest, for instance. You recently estimated that better siting — along with energy-efficient hardware and software — could reduce future carbon and water footprints of US data centers by 73 percent and 86 percent, respectively.

Masanet adds that tech companies already with data centers across the country could at least train their models in strategic places. "Some companies like Google have been doing this: They shift their loads to follow renewables," he says. They also should address the electricity and resources spent on manufacturing processors for new data centers, as well as electronic waste as outdated tech is replaced every few years, he adds.

Minimizing e-waste by using hardware for longer periods and recovering old electronics is one of Amazon's sustainability strategies, according to a statement to Knowable Magazine; so is designing data centers in energy- and water-saving ways and investing in a slew of renewable and nuclear energy projects. "We'll continue to implement solutions that benefit our customers and the communities we operate in," says Brandon Oyer, Amazon Web Services' head of energy and water in the Americas.

Meanwhile, a press representative at Microsoft points to a number of sustainability initiatives the company has taken, including new cooling technologies, renewable energy investments and waste reduction. Google spokesperson Ralf Bremer emphasized the company's goal of reaching net-zero emissions across its operations by 2030 and replenishing 120 percent of the fresh water consumed by its offices and data centers by 2030. An OpenAI representative points to a press release outlining efforts to minimize water use and plans for solar energy generation at one of its campuses. Anthropic, Meta and Oracle did not respond to requests for comment by deadline.

Though tech companies are taking sustainability into consideration, their main objective is to rapidly build out data center capacity, says computer engineer Benjamin Lee of the University of Pennsylvania. He predicts that, eventually, they'll need to step up efforts to improve energy efficiency to reduce costs. Governments should help to accelerate this shift, Masanet says. So far, he and his team have counted nearly 220 policies introduced to address data center sustainability at the US state level, 18 at the federal level, and more from other countries, though not all were ultimately adopted.

"It's clear that governments around the world are beginning to take action," he says. However, he adds, "we also see some state and local governments with proposed policies that mostly aim to incentivize and accelerate data center builds."

AI's energy cost will ultimately be a balancing act: Will it save more resources through its problem-solving abilities deployed toward everything from finding cancer cures to improving logistics, than it demands? But though building a more frugal, energy-saving AI is important, so is carefully considering where AI is needed, Kenyon says. Is the world truly a better place, for example, with nonhuman "AI agents" providing customer support?

"I think it’s a common mistake, when a new technology comes in, to suddenly think, 'Well, everything has to adopt that new technology,'" he says. "That approach really isn't doing us any favors."

This article originally appeared in Knowable Magazine, a nonprofit publication dedicated to making scientific knowledge accessible to all. Sign up for Knowable Magazine's newsletter.

Younger generations may be aging faster than their predecessors, and this may be linked to a rise in early-onset cancers, a new study suggests.

There have been recent increases in the rates of some cancers among adults under 50, including breast, colorectal, kidney and uterine cancers. One 2023 paper suggests that these early-onset cancer diagnoses rose by 25% globally between 1990 and 2019, and scientists are still investigating why.

"The trend of increased cancers at younger ages is very real, and it is not simply because of more efficient diagnosis, or diagnosis at earlier stages," said Dr. Jyoti Nangalia, a hematologist and cancer researcher at the Wellcome Sanger Institute in the U.K. who was not involved in the new study. "It is possible that we are being exposed to new cancer-causing risks or that [our] defences to them are somehow altered," she told Live Science in an email.

The new study, published June 22 in the journal Nature Medicine, suggests that younger generations may have a wider "gap" between their chronological ages and their biological ages — a measurement of how quickly the body's tissues and systems are aging — than older generations do. The greater gap among younger adults seems to be linked with a higher risk of developing cancer early in life.

The new study cannot prove that faster biological aging causes early-onset cancer, but it provides new clues for scientists trying to unpack what might be driving the worrying trend.

"This is really proof-of-concept," study co-author Yin Cao, a molecular and clinical epidemiologist at the Washington University School of Medicine and Siteman Cancer Center, told Live Science.

Concerning trends lurking in dense data

Chronological age is straightforward: It's the number of years that have passed since a person's birth. "Biological age," however, can vary wildly from one person to another. This catch-all term describes a range of metrics, including markers on DNA and in the bloodstream. These are often measured using "aging clocks," which aim to determine if the body is acting much older than its chronological age.

Scientists have increasingly used these summary measures in an attempt to understand why some people are more prone to age-related diseases than others. To check whether there could be a link between biological age and the rise in early cancers, the new study analyzed data from more than 150,000 adults in the UK Biobank, a long-running project that has been tracking the health of about half-a-million U.K. adults since the mid‑2000s.

The participants had provided blood samples, with many already measured for markers used to track biological aging. The study authors plugged these results into PhenoAge, a statistical model that estimates a person's "age gap" at a given chronological age. In essence, this model can compare snapshots of two 40-year-olds — one born in 1950 and the other in 1965 — and see if their blood markers suggest they're the same biological age.

"The traditional approach is really focusing on individual risk factors" for cancer, such as a history of obesity or a high intake of ultraprocessed foods, Cao said. "We are testing whether we can leverage these large biobanks and potentially find some biological imprint as a potential reflection of many exposures that can be linked with cancer risk," she said.

The analysis revealed a concerning pattern: UK Biobank participants born between 1965 and 1974 had a larger age gap than those born between 1950 and 1954 at the same chronological ages. Based on PhenoAge's metrics, the younger cohort had systemic aging levels about 0.23 standard deviations higher than the older cohort — a modest shift toward older-looking biology.

The researchers applied this same approach to about 10,000 participants in the U.S. National Institutes of Health's All of Us Research Program, another large biobank. There, they found a more pronounced pattern: People born between 1990 and 1999 had age gaps about 0.92 standard deviations higher than those born between 1965 and 1969.

Another blood-based aging clock, called the Klemera-Doubal method, showed broadly similar patterns to PhenoAge, albeit slightly weaker ones, the study found.

Real trend or data mirage?

In the UK Biobank cohort, the researchers found that participants with higher age gaps were more likely to develop early-onset solid cancers, meaning cancerous tumors that appear in tissues, rather than "liquid" cancers present in bodily fluids. This link was strongest for lung, gastrointestinal and uterine cancers. This finding was based on the patients' medical records.

When the participants were divided into three groups based on their biological ages, those in the highest group had a roughly 15% higher risk of early-onset solid cancer than those in the lowest group.

To probe deeper, the authors used a different model that estimates biological aging at the level of specific organs and systems, using patterns of proteins in the blood. In almost 20,000 UK Biobank participants, they found that markers suggesting an "older-than-expected" immune system were linked with a higher risk of early-onset lung cancer. Similarly, markers suggesting older-than-expected fat tissue were linked with a higher risk of early-onset colorectal cancer.

Does this mean younger generations are aging faster and that's causing the rise in cancers? Maybe, but maybe not — there are important caveats to the study's findings.

The patterns will need to be confirmed in other datasets and populations, Cao noted. Biological aging tests, including PhenoAge, are also relatively new, and their implications aren't fully understood. While they clearly capture something about health and risk at the population level, at the individual level, different biological age tests can give very different answers for the same person. That raises questions about what any single score really means for individual health.

It may be that the differences PhenoAge uncovered between younger and older people have to do with how the test was originally calibrated, Stephen Burgess, a professor of biostatistics at the University of Cambridge who was not involved in the study, told Live Science in an email. To know if that's the case, one would have to dig deeper into how PhenoAge scores are calculated and see if that might have skewed its assessment of the UK Biobank and All of Us cohorts, he said.

Cao added that, while PhenoAge scores have been tied to mortality risk across a range of adults, the test "requires further validations" when it comes to assessing cancer risk.

As with any observational study using large databases, it is hard to untangle cause and effect, Nangalia added.

"The main issue for this paper is one of correlation versus causality," she said. "Either way, it is useful — with the first, as a potential way of tracking population health and cancer risk, and with the second, as insights into cancer-causing mechanisms."

Cao hopes her team's approach will serve as another useful tool to figure out why more young people are getting cancer. " Hopefully this is just a starting point," Cao said.

The universe is full of structures that remind us of Earthly objects, such as the Cat's Eye Nebula, a "cosmic hamburger," and the famous Crab Nebula. Now, one more has been added to the list: a radio galaxy shaped like a bow and arrow.

The newly discovered galaxy, dubbed the RAD-Bow-And-Arrow Radio Galaxy (RAD-BAARG), sits roughly 2 billion light-years from Earth.

Radio galaxies are powered by actively feeding supermassive black holes that launch powerful jets of charged particles in opposite directions. As these high-speed jets crash into the surrounding medium, they form huge lobes of magnetized plasma that can stretch for thousands to millions of light-years. Inside both the jets and the lobes, electrons spiral around magnetic-field lines and emit radiation that is detected at radio wavelengths.

As a result, most radio galaxies look roughly symmetrical, like two matching balloon-like radio lobes inflated on each side of the central galaxy. RAD-BAARG, with its lopsided structure, appears to be an oddball.

RAD-BAARG was first spotted by citizen scientist Pranim Limbo while inspecting ultrasensitive radio images from the LOFAR Two-metre Sky Survey. Limbo made the discovery through India's RAD@home Astronomy Collaboratory, a citizen-science research initiative in India, in collaboration with an international team of researchers.

The new image shows RAD-BAARG in stunning detail, with red tracing the radio emission captured by the LOFAR telescope, combined with an optical image from the Beijing-Arizona Sky Survey.

Researchers think the strange shape may have been influenced by the galaxy's environment. RAD-BAARG appears to be falling toward a nearby cluster of galaxies, plunging through the intracluster medium, ‪the hot, thin gas that fills the space between galaxies, the researchers explained in a paper published June 22 in the journal Monthly Notices of the Royal Astronomical Society.

"The structure of this source is unlike that of any radio galaxy I have seen in the last 25 years," Ananda Hota, principal investigator of the RAD@home Astronomy Collaboratory and first author of the paper, said in a statement.

When a galaxy moves through this gas faster than the speed of sound within it, it creates a shock front, similar to how a fighter jet generates a sonic boom. This compressed wall of gas piles up ahead of the galaxy as the gas falls inward.

One of RAD-BAARG's jets appears to be running straight into this shock front, causing it to bend and compress into the shape of a drawn bow. The enormous bow-like structure extends nearly 1.8 million light-years across. On the opposite side, the other jet doesn't face the same resistance. Instead, it twists into a distorted S shape before fading into a faint tail forming the "arrow."

According to the study, RAD-BAARG has a length of about 2.3 million light-years. That places it in the category of "Giant Radio Galaxies," which are some of the largest standalone single structures in the universe.

Astronomers have long predicted that infalling galaxies should generate bow shocks as they plunge through the hot gas of a galaxy cluster. But actually catching one has been extremely difficult, since the surrounding gas is too diffuse and faint to detect easily. Sitting in a complex, chaotic environment, RAD-BAARG is rare not only for its unique shape but also for providing a direct, detailed view of this elusive phenomenon. In other words: That’s a bullseye.

See more space photos of the week:

If you push two metal plates together on Earth, nothing happens. But if you take those same plates into the vacuum of space, they can fuse into a single piece of metal.

This phenomenon, called cold welding, has been a known hazard for spacecraft engineers for a long time. So what's actually happening at the atomic level, and why does space make it so much easier?

The answer comes down to a lack of oxygen in space, experts told Live Science.

Metals are made of lattices — structures where atoms are bonded to one another. But atoms near the surface of a metal aren't bonded to anything on the outward-facing side. If given the chance, they'll "reach out" and share electrons with the surface of another piece of metal.

But on Earth, nearly every metal surface is coated in an oxide layer. The layer is just a few atoms thick and forms when metal meets oxygen. "Once the oxide is formed, it's over," Julia Greer, a materials scientist at Caltech, told Live Science. "Then it can't cold weld anymore, because the oxygen basically passivates these bonds."

That thin oxide acts like an insulating wrapper. Without it, the free electrons at the surface of one metal piece stop recognizing which atom they belong to. "Those electrons don't know if it's in this piece or if it's in that piece, so they begin sharing the electrons, and essentially that cold welds things together," Sven Bilén, a professor of engineering design and aerospace engineering at Penn State, told Live Science.

In space, there's no oxygen to rebuild that layer once it's gone. The cold and the radiation make things worse. Bombardment from solar and ionic radiation in orbit can scour metal surfaces clean, Greer said, leaving freshly exposed atoms primed to bond. "Everything in space is conducive to cold welding," she said.

Metal surfaces are never perfectly smooth, either. At a microscopic level, they're jagged ‪—‬ more like tiny mountain ranges than flat plains, said Zachary Cordero, an aerospace engineer at MIT.

Pressing two surfaces together, especially with any sliding or vibration, can shear off the oxide layer that formed while the metal was on Earth and flatten those peaks into metal-to-metal contact. "You're breaking up the surface oxide, and you're forming metallurgical bonds," Cordero said.

Why cold welding worried early spacecraft engineers

Cold welding in space has long been a problem. "If there is cold welding, things can become stuck in place," Cordero told Live Science. "If you have a deployable structure and there's cold welding, you might freeze the mechanism, or a door might become locked, or something might become immobilized, which you don't want."

For example, say you were to add a metal screw to a metal door. After a while, you would not be able to unscrew it because it would have become part of the door.

Bilén pointed to NASA's Galileo probe, which launched in 1989: lubricant loss and launch vibrations during launch are thought to have stripped the oxide layer from parts of its furled high-gain antenna. When engineers attempted to deploy the antenna in 1991, it never fully opened.

Some metals are more troublesome than others. Gold and platinum don't form an oxide layer at all, even on Earth, which makes them notoriously prone to cold welding. "Gold definitely is a very notorious metal for cold welding," Greer said, adding that gold's softness lets it conform easily to whatever surface it touches and it bonds even more easily.

How to prevent cold welding in space

To prevent components from accidentally fusing in orbit, engineers rely on a few strategies. One is anodizing, a process that locks an artificial oxide layer onto a metal surface. Another method is to coat moving parts with dry lubricants, such as molybdenum disulfide, to physically keep surfaces from touching.

A third strategy is to pair dissimilar metals — for instance, gold next to a "body-centered" metal, like molybdenum — so their atomic structures don't mesh as neatly. "Their packing order is not quite perfectly aligned, and so there'll be a lot more energetic kind of barrier to overcome," Greer said.

Before launch, hardware also gets shaken on vibration tables and cycled through extreme hot-and-cold swings inside vacuum chambers, simulating the stresses of liftoff and orbit to catch problems on the ground.

Even with all of those precautions, cold welding can still happen. Bilén recalled bolts in his own lab's vacuum chamber fusing shut after a move across campus. They eventually had to be drilled out. "It happens even on Earth," he said.

See how much you know about human exploration into space with our spaceflight quiz!

Plants, insects, and larger animals, like the forest’s white-faced capuchin monkeys, are well adapted to these changes. But in 2015, during an abnormally severe drought influenced by the El Niño–Southern Oscillation (ENSO), Perry, an evolutionary anthropologist at the University of California, Los Angeles, observed behaviors that once seemed impossible.

Under normal conditions "The [capuchin] mothers are quite devoted," she explained. "Now, I was seeing babies crying on the ground piteously. And the mothers just looking down like 'Too much trouble' and walking off, abandoning their infants."

"Even capuchins have their limits," Perry said. "And we need to start paying attention because all the weather predictions are saying that we're going to get more unpredictability and more climate extremes."

Monkeying around

Odd Jacobson, a behavioral ecologist at the Max Planck Institute of Animal Behavior, was a student at Lomas Barbudal in 2016, a year after this severe drought. His focus was on understanding how the study site's 12 different capuchin groups were moving through the forest. But now he's set out to investigate how else climate extremes may affect the behaviors and social structures of these monkeys.

In a paper published in Nature Ecology and Evolution, Jacobson and his coauthors — including Perry — analyzed how climate variability correlated to the 33 years of geolocation data they had on the capuchins.

Their first step was understanding how the size of each group was affecting the relationships between monkeys within the same group. To do this, they observed variables such as daily fruit intake, the size of the group's home range, and the distance the group traveled each day to find food.

Finally, to understand how monkey groups interacted, they used a "hierarchical social relations model," which allowed the scientists to predict how two different monkey groups would move through the forest and where their territories would overlap.

The team repeated this process, two monkey groups at a time, until they analyzed the interactions between all 12 monkey groups at Lomas Barbudal. Then, they added the climate-over-time layer to predict how the home range overlap and encounter rates (meaning moments where capuchins from two different groups engaged, often violently) would change with the seasons.

Strength (and weakness) in numbers

Generally, large monkey groups have advantages and disadvantages in the forest. One key advantage is the ability to control resource-rich areas, such as land with fruiting trees known as food patches. A key disadvantage is increased intragroup competition for food, meaning the daily fruit intake of individual monkeys was lower.

The researchers found that during climatic extremes, such as extremely wet or dry seasons, this intragroup competition intensifies, making the group less efficient at foraging overall. Behavior between groups changed with the climate as well. For example, in a typical dry season, large groups often overpower smaller ones to take over areas with more available fruit, such as along rivers.

But the new research found that this long-understood idea doesn't always hold true: During extreme climate events, like a dry season made even drier by the effects of El Niño, capuchins didn't try to hoard the higher-quality areas.

"We don't really know exactly why," Jacobson said. "Maybe there's not as much heterogeneity in the landscape during these resource poor times, and so there's not much that larger groups can monopolize."

Climate extremes, the research suggests, may be upsetting the balance that determines the optimal size of monkey groups. And, as a warming atmosphere makes climate extremes like El Niño or La Niña more intense, it's growing increasingly important to understand how these changes will affect animal societies.

Filippo Aureli, an ethologist at the Universidad Veracruzana, in Mexico, was not involved with this study, but he has studied the effects of extreme weather events on spider monkeys in Mexico. He also registered the infant mortality rates of capuchin and spider monkeys in the Costa Rican dry tropical forest during that 2015 drought. Capuchin populations experienced high infant mortality during the extreme event, while spider monkey populations tended to stop reproducing.

"With climate change, [climate extremes] are going to be more frequent and intense," Aureli said. "And we don't know what's going to happen. For this period [so far], they've held on very well, the spider monkeys, but we don't know for how much longer."

Perry agreed, noting "the importance of having a baseline when you're trying to study rare events like El Niño droughts."

"We know what normal is," she explained. "If you just try to drop in right now in all the chaos that we're starting to feel around the planet, then you really can't study it."

This article was originally published on Eos.org. Read the original article.

A new episode of "Almost History," the alternate-history podcast from All About History, explores one of the biggest "what-ifs" of the ancient world: What if Carthage had defeated Rome during the Punic Wars?

The episode is hosted by Emily Staniforth, a staff writer at All About History, a sister publication of Live Science. It features historian and archaeologist Eve MacDonald, a senior lecturer in ancient history at Cardiff University in the U.K. and author of "Carthage: A New History of an Ancient Empire" (W. W. Norton & Co., 2026). Together, they examine how close Carthage came to changing the course of history and what the modern world might look like if one of Rome's greatest rivals had emerged victorious.

"Carthage ha[d] enormous resources, because to even be in the fight for as long as they were is extraordinary," MacDonald said in an interview. However, despite Carthage's capabilities, they were always fighting an uphill battle, she noted.

"I always think the Romans were probably never going to go away," MacDonald said.

Tactics and turning points

The Punic Wars, fought between the Roman Republic and Carthage from 264 to 146 B.C., transformed the ancient Mediterranean. Although Rome ultimately prevailed and went on to build one of history's largest empires, victory was far from guaranteed. During the Second Punic War, the Carthaginian general Hannibal famously marched elephants across the Alps and inflicted devastating defeats on Roman armies, bringing the republic to the brink of collapse before Rome eventually recovered.

In the podcast, MacDonald discusses the political and military turning points that could have tipped the balance in Carthage's favor. The conversation also explores how a Carthaginian victory might have altered trade, culture and the distribution of power across Europe and the Mediterranean, offering listeners a glimpse of an alternate version of world history.

"I think that's one of the things that we would appreciate more now: As much as the Greco-Roman history of the Mediterranean is part of the Western world, so too is all of Carthage, Phoenicia and Numidia" in northern Africa, MacDonald said. "But we haven't got those tales anymore for us to understand."

The episode is part of "Almost History," a series inspired by All About History magazine's long-running "What If" feature. Each installment invites historians to examine pivotal moments from the past and consider how different outcomes might have reshaped history. Recent episodes have tackled questions such as What if D-Day had failed? and What if the Bolshevik Revolution had never succeeded?

You can listen to "What If Carthage Won the Punic Wars?" on Acast and other major podcast platforms.

Can you match these historical maps to the empires that ruled them? Test your geography skills with our ancient empires quiz!

This week, we've taken one tantalizing step closer to finding out if there really was life on Mars, after NASA's Perseverance rover uncovered the highest concentration of organic molecules on the Red Planet to date.

The data comes from mudstones in Jezero crater, which once hosted a deep lake. Last year, researchers described a piece of rock with patterns resembling those left by microorganisms on Earth as one of the clearest signs yet of past Martian microbes.

Now, scientists have confirmed the widespread presence of complex carbon-based molecules in this area of the crater, which they suggest indicate the presence of fossilized microbes.

Going even further back in history, new observations from the James Webb Space Telescope (JWST) have revealed how early galaxies lived fast and died young, offering a possible preview of our own galaxy's death.

Elsewhere in space, JWST captured the formation of a distant star, 1,280 light-years away in the constellation Orion, while the Euclid space telescope snapped the most detailed photo of the Milky Way ever taken.

Weird human cousin gets even weirder

'A weird result from an already weird hominin': Archaeologists discover all Homo naledi skeletons found in South African cave are female

Homo naledi surprised scientists once again this week. Found in a South African cave in 2013, the small-brained, two-legged relative to modern humans is thought to have lived around 300,000 years ago. Since its initial discovery, the enigmatic hominin has shocked scientists with a string of baffling revelations. In 2023, researchers found evidence that H. naledi may have used fire in the cave. This early hominin may also have buried its dead. Now, archaeologists have analyzed genetic material in the enamel of nearly two dozen skeletons at the site and found that they are all female.

"The bottom line is this is a weird result from an already weird hominin," Elizabeth Sawchuk, curator of human evolution at the Cleveland Museum of Natural History, who was not involved in the study, told Live Science in an email.

Discover more archaeology news

—Hanging lamp in the form of a sandaled right foot: A 1,600-year-old bronze lamp with multilayered Christian symbolism

—Early Homo sapiens may have lived in rainforests, new clues suggest — and it could overturn our understanding of human evolution

—Some of the last surviving Neanderthals were remarkably diverse ‪—‬ suggesting inbreeding didn't doom them

Life's Little Mysteries

How did the Romans build such straight roads?

The Romans are known for their transport systems that enabled travel and trade across their enormous empire. Many of these centuries-old streets had a reputation for being extremely straight. Nowadays, building straight roads requires advanced surveying using GPS networks and lasers, as well as careful engineering to flatten the terrain. So how did the Romans do it about 2,000 years before these things were invented?

—If you enjoyed this, sign up for our Life's Little Mysteries newsletter

Water might be 2 liquids

Water might secretly be a mix of 2 different liquids, scientists say

Most of us discount water as the most basic of beverages, but if you look at it at a molecular level, water is actually rather exciting. Think about it: While most liquids are denser in their solid form, water ice floats. That's weird. Water also resists temperature changes better than similar liquids do, and its viscosity decreases under certain pressures.

Some scientists have hypothesized that these weird behaviors come about because water consists of not one, but two liquids ‪—‬ a dense one and a less-dense one that constantly switch places. Now, with the help of AI, we have proof of this weirdness.

Discover more weird news

—We've spent decades looking for the wrong type of alien radio signals, new paper claims — and there's an easy way to fix it

—'Weirdos of the sperm whale world' appear to be evolving 2 different dialects, audio recordings suggest

—China's Einstein Probe detected a mysterious cosmic explosion — and scientists have no idea what caused it

Also in science news this week

—The US just approved bemotrizinol, a sunscreen ingredient long used in Asia and Europe. Here's how it works.

—'You can't patch your way out of it': Cheap AI worm can spread between devices without human guidance — but how did scientists create it?

—Water shortages could prevent the US from mining more lithium, deepening reliance on foreign imports

—Diagnostic dilemma: After taking a medicine for years, a man suddenly had weird changes in his taste that made food disgusting

Science Spotlight

'If there's any country that will do it, it's China': Why is China diverting some of the world's mightiest rivers thousands of miles?

People in China's northern megacities have 74 times less fresh water availability than the average American. But China boasts some of the largest rivers in Asia that flow farther south, along with massive water reserves in glaciers in the west. To address this imbalance, the Chinese government has built the world's largest water diversion project, ferrying water from the Yangtze River in the country's center and south over thousands of miles through a complex system of canals, pipes, dams, reservoirs and pumps.

And yet, this is still not enough to satisfy the water needs of the country's thirsty North. Now, China is expanding these routes and planning a third, western route for the project, which will be the most dangerous and ambitious route yet.

Beyond diverting the country's rivers, China is also building the world's largest dam in an earthquake-prone region in Tibet and has invested heavily in creating a permanent "sky river" to help solve the country's water crisis.

Something for the weekend

If you're looking for things to keep you busy over the weekend, here are some of the best news analyses, crosswords, interviews, opinion pieces and quizzes published this week.

—9 of the best technology conspiracy theories [Countdown]

— AI companies don't want to be legally responsible for their chatbots. US courts should make them. [Opinion]

—Live Science crossword puzzle #49: 'Short' tempered French emperor — 13 across [Crossword]

— Ancient empires quiz: Can you match these lands to the historical powers that ruled them? [Quiz]

—60 million stars: Euclid space telescope snaps the most detailed photo of the Milky Way ever taken [Skywatching]

Science in pictures

NASA satellite captures wave of warm water hundreds of miles long that signals a devastatingly strong El Niño

New satellite imagery shows a wave of warm water stretching across the Pacific Ocean in a dramatic illustration of the newly declared El Niño. The image shows a red wave as it streaks across the equator and piles up around the west coast of South America.

Ocean patterns like this are known as Kelvin waves. They occur when winds in the Pacific Ocean near the equator temporarily reverse and blow from west to east. This enables warm water to gradually build up in the east,preventing cold waters from rising below.

The wave was spotted by NASA's Sentinel-6 Michael Freilich satellite, which measures ocean temperatures through radar scans of changes in sea surface height, caused by heat's expansionary effects upon water. The satellite has already observed several other Kelvin waves this year in anticipation of El Niño.

Follow Live Science on social media

Want more science news? Follow our Live Science WhatsApp Channel for the latest discoveries as they happen. It's the best way to get our expert reporting on the go, but if you don't use WhatsApp we're also on Facebook, X (formerly Twitter), Flipboard, Instagram, TikTok, Bluesky and LinkedIn.

A photograph of Earth glowing in deep space, the moon's cratered horizon stretching across its foreground, caught many people's eyes in April 2026. Astronauts captured the image while aboard NASA's Artemis II mission, and like the famous Apollo 8 "Earthrise" image, the picture felt instantly real and inspiring for many.

But when almost anyone can fabricate a visually similar image in seconds from a text prompt using artificial intelligence, how do people decide which image is real?

The proliferation of AI-generated science images in public spaces is not simply a misinformation problem. As a researcher who studies visual science communication and public trust, I believe it also contributes to a crisis of trust in science in the age of AI, and the tools scientists have long relied on to establish visual credibility are losing their grip.

AI-generated images infiltrate science

AI tools are already changing how scientific visuals are created, shared and publicized.

Researchers use them to generate illustrations, create synthetic data, edit lab images and produce materials for education and public outreach.

While AI can help scientists communicate complicated ideas more creatively and efficiently, these same tools blur the lines between illustration, enhancement and fabrication.

In 2024, two papers were retracted after publishing AI-generated figures posessing biologically impossible structures. In April 2026, the New England Journal of Medicine retracted a paper after discovering that a clinical image had been manipulated with AI. These are just cases that came to mass public attention and are likely just the tip of the iceberg. Researchers have warned that AI-generated visuals pose growing threats in fields that depend heavily on visual evidence, such as materials science.

Academic publishers are beginning to adopt AI-detection tools. However, systems designed to detect fake images will almost always lag behind systems designed to create them. Many detectors can identify only image patterns they were trained to recognize. As new AI models emerge, developers must constantly obtain new data and retrain detectors to catch up.

The biggest concern are realistic-looking visuals that subtly distort scientific details while remaining believable enough to pass initial review.

Trust in scientific images

For decades, scientific images carried authority partly because they were difficult to produce. Creating microscope images, climate graphs and space photographs required expensive equipment, institutional resources and specialized expertise. Most people assumed such images represented true observations because very few people could make them.

Research in science communication, including my own, suggests that people judge scientific visuals using a few mental shortcuts. Does the image look technically sophisticated? Does it come from a trusted institution? Does it match what I already believe? Generative AI is undermining all three of these heuristics, or mental shortcuts.

Today, anyone can create a polished, scientific-looking image from a text prompt. Images are also detached from their original source when circulating online. When visual quality and institutional attribution become unreliable cues for judging the credibility of science images, people tend to fall back on something else: their own prior beliefs.

As a result, authentic scientific images that challenge someone's existing beliefs can now be dismissed as AI-generated, whereas fabricated images that confirm them are easily accepted as evidence. AI, in this way, may amplify motivated reasoning — that is, people's tendency to accept what they already agree with and question what they do not.

This shift matters because visuals have long served as evidence for scientific claims. Nonexpert audiences rely on images not only to see what scientists have discovered but also to develop an emotional connection and perceive credibility in the science being presented.

If audiences stop trusting visual evidence altogether, science loses one of its most powerful tools for public communication.

Transparency, not restriction

AI tools offer real benefits for researchers communicating their work to diverse audiences. The challenge is using these tools without quietly transferring AI's credibility deficit onto the science the images are meant to convey.

One practical path forward is for researchers to treat image provenance — where an image came from and how it was created — with the same seriousness they already apply to data provenance.

Scientists routinely disclose funding resources, study methodologies and conflicts of interest. Similar standards may now be necessary for scientific images. Was AI used to generate or modify this image? Is it a direct observation, a simulation or an illustration? What exactly does the image represent, and how was it verified? Can it be replicated by other researchers?

My colleagues and I found that people's familiarity with AI significantly shapes how they judge the credibility of AI-generated visuals. Those familiar with AI tools were more likely to view AI disclosure as a sign of transparency, and some rated clearly labeled AI-generated content as more credible than unlabeled content.

Transparency gives audiences the necessary context to evaluate what they are seeing, but it may not resolve every dispute about how images are made. Responsible use of AI-generated scientific images will require honesty, adherence to professional norms and the collective development of evidence-based standards across fields.

Why authentic images remain powerful

The original Apollo 8 "Earthrise" photograph of 1968 carries significant emotional impact. So do the Artemis II images of 2026.

What makes them meaningful is not simply their beauty. It is their traceable connection to scientific reality. When people look at these photographs of planets, they also know there are astronauts, physical cameras, documented missions and verifiable observations behind the images. In this sense, authenticity is a documented relationship between an image and the world.

In the age of generative AI, scientific institutions can no longer assume audiences will automatically trust their visuals. Trust now depends on transparency, documentation and clear communication about how visual evidence is produced.

Without guidelines and standards, science risks entering a world where every image can be questioned and no image carries inherent credibility.

This edited article is republished from The Conversation under a Creative Commons license. Read the original article.

Ancient Roman transportation engineers built a vast network of roads that stretched across Europe, North Africa and parts of the Middle East. This complex road system was a key to travel and trade in the Roman Empire, and many of the centuries-old streets had a reputation for being extremely straight, although not all of them were.

For instance, Via Appia (Appian Way), which connected Rome to the port of Brundisium in southern Italy, was more than 300 miles (500 kilometers) long, and sizable parts of it were straight. Another Roman road, Stane Street in southern England, was built to connect London to Chichester. Much of the road, which stretches roughly 57 miles (92 km), is straight. The Middle East also had straight Roman roads, including a coastal avenue from Antioch, Turkey, to what is now Gaza.

A recent mapping project was able to map about 186,400 miles (300,000 km) of roads and more are probably undiscovered. But how did the Romans avoid unnecessary twists and turns to ensure straight streets? The answer may lie in three surveying instruments the Romans used.

Surveying roads

In some instances, the Romans built on top of older roads that existed before they conquered an area. Their "road network incorporated older roads from a broad range of different societies and polities," Marion Kruse, an associate professor of classics at the University of Cincinnati, told Live Science in an email.

But when the Romans built new roads, they used a few different tools to help plan them.

"Three instruments were used consistently by Roman road builders: the dioptra, the groma, and the chorobatus [or chorobates]," Adriana Panaite, a researcher at the Vasile Pârvan Institute of Archaeology in Romania who has studied Roman roads extensively, told Live Science in an email.

While the dioptra is known from ancient texts, no example of it has ever been found in an archaeological dig, according to M.J.T. Lewis, who was a historian at the University of Hull in the U.K. In his book "Surveying Instruments of Greece and Rome" (Cambridge University Press, 2001), Lewis noted that the design of the dioptra varied considerably. The different designs tended to include a stand and a disc-shaped base with a tube-shaped sighting instrument attached. An ancient surveyor could look through the tube and see a distant object without extraneous light interfering, allowing for a better view.

The chorobatus was used to measure horizontal planes. Around 20 feet (6 meters) long, the chorobatus was a beam of wood on legs and looked like a small table, Lewis wrote. It likely had small weights hanging from it to show that the beam was level. No ancient example of the chorobatus has survived, and the exact design and way it was used are unclear. Ancient texts indicate that it acted as a builder's level that could help set up level points and determine elevations.

But the most important tool Roman surveyors used was the groma, Joseph Lewis, an archaeologist at the University of Cambridge who has conducted extensive research on Roman roads, told Live Science in an email. The "groma was the principal tool of the mensor ‪—‬ the land surveyor ‪—‬ when planning long, straight alignments," he noted. "These alignments were then often used when constructing roads across gentle terrain."

The groma, also called a gruma or croma, consisted of a vertical pole with a horizontal X-shaped cross on top and four small weights hanging down from strings at the ends of the crossbeams, Lewis said. The groma was most useful for establishing right angles.

Multiple Roman surveyors could use the weights on their poles to ensure any road they were building was going in the right direction.

"A surveyor at one end will direct other surveyors to move their poles until they are in line with one another," Lewis explained. "Once the direction had been established, Roman surveyors observed the landscape and adjusted the course of a road to accommodate/avoid obstacles such as steep sections which would have posed difficulties for wheeled vehicles, locations to ford rivers, or to connect pre-existing settlements."

However, the techniques used to build roads throughout the Roman Empire probably varied somewhat, meaning experts "should be cautious about assuming that there was a single 'Roman' technique for road building," Kruse said. He noted that the Roman Empire covered a vast area and lasted for a long period of time.

"It seems safe to assume that practices varied across time and space," Kruse explained.

Not all roads were straight

One reason for the variation in Roman roads was likely the diversity of the laborers who built them. "In all likelihood, road-building work was done by a mix of soldiers, slaves ‪—‬ especially prisoners ‪—‬ and free locals called upon to help as part of a 'corvee' obligation imposed by their local community on Rome's instructions," Richard Talbert, a professor emeritus of history at the University of North Carolina at Chapel Hill, told Live Science in an email. But paid laborers were probably used for some skilled tasks, such as building bridges, Talbert said.

While Roman roads have a reputation for being precisely laid out and straight, not all of them were.

"It is commonly mentioned that Roman roads were exceptionally straight. This is partially true: The Romans had engineers and a large labor force that in some cases managed to modify the landscape to enable straight roads," Tom Brughmans, a classical archaeologist at Aarhus University in Denmark who is part of a team that helped create an updated map of the Roman road system, told Live Science in an email.

"We believe that the Romans preferred relatively straight roads in places where there was very little friction offered by the topography," such as flatland areas, Brughmans said. But in areas with more difficult terrain, such as mountainous regions, the roads would often not run straight.

Brughmans said he expects "future research will show that, in general, [Roman roads] are less straight than modern roads, given the need for motorized vehicles to avoid sharp turns when driving at speed."

From Augustus to Nero, see how much you know about ancient Rome's famous leaders with our Roman emperor quiz!

It takes a dozen or so hours for the mushroom to kick in. Then, the hallucinations are unlike any others known to science.

On this trip, there are none of the heightened colors, breathing or pulsing objects, nor geometrical patterns typically reported by users of psychedelic substances. In fact, the hundreds of people who enter clinics in China's Yunnan province during each year's summer mushroom season tend to say their vision is clear and largely unaltered.

Well, aside from one major exception: nearly all users see visions of hundreds to thousands of highly-rendered miniature people, dressed in bright colors like elves, gnomes, clowns or other fairy-like figures. The hallucinated sprites wriggle under doors, dive off spoons into soup bowls and make lewd and mischievous gestures, among other strange behaviors.

These visions are reported by 90% of those who come down sick after consuming a single species of bolete mushroom, called Lanmaoa asiatica, in its raw or undercooked form. Yet despite decades of anecdotal reports, the fantastical claims were dismissed by western scientists as a form of "mushroom madness" — until Colin Domnauer, an undergraduate student taking an optional university module on funguses, caught wind of the rumors.

Domnauer, now a doctoral student at the University of Utah, made finding and analyzing the mushroom the purpose of his PhD, a goal that took him to China and the northern Philippines on the trail of a hallucinogenic compound that is likely completely unknown to science.

Live Science sat down with Domnauer to discuss L. asiatica, the bizarre revelations it could hold for how we perceive reality, and the barely-discovered fungal universe that surrounds us. Here's what he had to say.

Ben Turner: Let's start by introducing this mushroom. What is Lanmaoa asiatica?

Colin Domnauer: Lanmaoa asiatica is a species of mushroom from Yunnan, China. It was described to science only 10 years ago in 2015, so it's a relatively newly discovered species, but it was actually being sold in the markets in Yunnan for decades before scientists realized it was its own species.

Through the work I've been doing, we've come to the conclusion that this species is responsible for really strange reports of hallucinations that people are getting after eating wild mushrooms in China, and elsewhere in the world as well.

It's a species that grows with pine trees. It has a symbiotic relationship called a mycorrhizal relationship and so, for that reason, it's something that can't be cultivated artificially. And it's still only found in its wild habitats, so it's difficult to distribute in that sense. But it's still relatively common and popular in the places that it is found.

BT: The mushroom is growing in notoriety because of the uniquely bizarre hallucinations it's reported to cause. Let’s say I ingest a significant dose of raw or undercooked L. asiatica right now, what's my next week gonna look like?

CD: Alright, so we don't know exactly the amount of mushroom that's required to get this effect, because in all these cultures they're eating it accidentally, or they're eating it just as food, but they're not intentionally pursuing the psychoactive effects. These effects are seen as an accidental side effect of eating too much, or if they're not cooked enough.

But if you do have a substantial amount, what we do know is that after about 12 to 24 hours you're going to start getting Lilliputian hallucinations, which is a clinically defined syndrome that's characterized by seeing little people or animals all around your environment.

And these aren't like some vague hallucinations, these are like three-dimensionally-rendered, highly-detailed figures inhabiting your exterior world. And they're also interacting with objects in the real world — like crawling up chairs and tables or under doorways, people say. So there's a very strange and specific type of reality-grounded, projected hallucination.

Even to this day science doesn't understand what's going on in the brain to cause this, or how to treat it, and this mushroom is the only thing that we currently know of to reliably produce this effect.

BT: Okay, so immediately there's a lot I want to ask you. Firstly, these tiny people are pretty reliably reported, right?

CD: At first scientists dismissed it as a folk tale or something, because it sounds so impossible, but this is actually something that affects hundreds of people every year in Yunnan, China, and there's many hospital reports of people getting affected in this way. In fact, one study looked at about 400 cases in a year of people who were affected by this mushroom, and 90% of them said that they had these Lilliputian hallucinations. It's a hallmark symptom of this mushroom.

BT: From the case reports we have hundreds to thousands of clearly-rendered, often brightly-colored, gnome or fairy-like teeny people clambering about and crawling under things. What else are they doing? Are they talking to the people having the hallucinations, is there much interaction going on?

CD: That's something that's not as commonly reported, but it has been mentioned in a handful of cases, both in China and in other cultures where this phenomenon has been noted.

The little people are said to typically like teasing, playing with or harassing the person seeing them, so there is some level of interaction there.

They're typically viewed to be amusing, mischievous, that sort of attitude. They're not usually seen as threatening, although in a few cases people felt that way.

BT: Are there any other clinically-reported effects on the mind and body?

CD: Yeah, there are. The Lilliputian hallucinations are the most striking symptom, but there's other things as well. About 50% of people reported having some gastrointestinal upset after eating this mushroom. It's not clear exactly the severity of that, because this was just a statistic that was noted in these papers, and it's also not clear if it was caused by this mushroom specifically or other things they were eating in the meal. So these aren't really robust studies in that sense, they're just collecting data of people who happen to get these effects.

And then another key thing that a lot of people note is that they seem to be typically weakened, more tired and delirious, so this could give us a hint as to the mechanisms that this unknown compound is working through. So it sounds quite different from the known psychedelic compounds.

And it's not only because of that. This is actually something I forgot to mention, but these hallucinations can last several days long. So it's not something that is experienced over a few hours like other compounds.

BT: If people are hallucinating thousands of miniature people taunting them for several days, are there any injuries or fatalities linked to cases? Or is it just unpleasant and irritating, but harmless?

CD: Yeah, that's something I really was curious about, because it sounded like it must be quite harmful if it's something that's sticking around in the body for several days and having these strong effects.

But interestingly, all those hundreds of hospital reports reported zero deaths or fatalities. They also reported no abnormalities in vital organ function, so it seems to be physiologically safe. But then, at the same time, we don't know if that's because those people were admitted to the hospital and they were getting proper treatment, or if we only have the records of people that were committed to the hospital. So it might be a skewed sample.

BT: You mentioned that this mushroom is found in China's Yunnan province. And you personally also identified it in the northern Philippines too. I was wondering how widespread and integrated into the cultures of these regions it is. How widely known is it? Is it treated as a mischief of little significance, or has it been integrated into any religious practices?

CD: In all these places, the mushroom is viewed as a very prized edible. It tastes very good and has a great flavor, but it's never been integrated into any spiritual or religious practices for the psychoactive effects. The psychoactive effects are like an accidental side effect of the food, and they're viewed as sort of an amusing side effect of that. They're not something that they intentionally pursue, but it's also not something that they feel fearful of and avoid.

Everyone knows that this mushroom has this property and can make you see little people, but they'll continue to eat it anyway, because they're just not afraid of that effect. But they're also not pursuing it, if that makes sense. It's sort of a middle ground viewpoint they have.

BT: And that's so strange. I mean you're a scientist, I'm a science journalist, to me this thing is so fundamentally bizarre that I struggle to understand how it has flown under the radar for so long. It was only scientifically described 10 years ago, and even then without much mention of the psychoactive properties. Why are we only just talking about this now?

CD: The first reports of psychoactive boletes actually go back to the 1930s to 1960s in Papua New Guinea. That's actually a time before we even knew about psilocybin mushrooms, and yet psilocybin mushrooms have exploded in the last century to become globally popular.

But this mushroom went the opposite way and faded into obscurity. And I think the reason for that is twofold. One, the scientists who were initially studying this mushroom in Papua New Guinea were unable to isolate any psychoactive compounds and couldn't determine the species responsible for the effects. And secondly, because these symptoms sounded so bizarre and fantasy-like — seeing little people — I think this biased them toward believing that it wasn't possible.

In fact, they concluded that this whole phenomenon of "mushroom madness" was all just a social act, a myth, or a way for the people to behave in ways they ordinarily wouldn't. But they concluded the mushrooms were just like a scapegoat, they weren't actually physiologically active, it was just an excuse to do these things. It sounded so impossible, and we just couldn't figure out the chemistry of these mushrooms.

But since that time, we've had more reports coming from other cultures — from China, and now over the last two years from the Philippines. That's multiple independent cultures reporting the same specific type of hallucination.

And what I was able to show was that they were due to the same mushroom, verified by DNA sequencing. It wasn't just random attribution, it was the same species. That, to me, confirms that there's an underlying physical cause of this.

BT: How did you first hear about L. asiatica?

CD: I first heard about this when I was an undergraduate student taking an elective course about mushrooms, and the teacher briefly mentioned one paper writing about these mushrooms in China that have this effect.

It was written sort of as an anecdotal story. The mycologist was traveling in Yunnan, and the local people told him: "Oh, these mushrooms will make you see little people if you don't cook them." But in that paper he was unable to identify the mushrooms, and he shared his story and said this is something that needs more attention. I tried to look more into it after hearing about that, and I found that, amazingly, no-one was studying it. It had gone just unnoticed or dismissed for decades.

This sounded so weird and groundbreaking to me that, even if it had a small chance of being true, it was something worth pursuing and I needed to know everything I could about it. So that's when I decided to do a whole PhD research project to try to answer that question.

BT: So what did you do next?

CD: My first task was to go to China, because that's where it was most popular and most well known. And, upon getting there, it was immediately obvious that the local people knew much more about it than we scientists did. It was actually a very well-known and common phenomenon. Everyone there was very open and welcoming and happy to talk about everything they knew about this mushroom with me. So I learned a lot just speaking with the local people who were selling this mushroom.

I just asked them: "Which ones will make you see little people?" they pointed to them, and I collected them. After getting back to my lab here in Utah, I was able to sequence the mushrooms to determine their identity, and it turns out they were all this one species, so that was a first big hint.

BT: There must have been a moment when you went from hearing about this as a tall tale to realizing it was the real deal. What was that like?

CD: Going into my whole PhD was sort've a wild goose chase — a long shot. We didn't even know if this was real, and even when I made this trip to China, as I was traveling there I asked myself: "Am I even going to find anything? Is this going to be a whole waste of time?"

But it was immediately obvious that it was incredibly well known. As soon as I started talking with the locals and mentioning this mushroom, their faces lit up, and they started sharing amazing stories. It wasn't some obscure, lesser-known myth. It was a big part of their mushroom knowledge and practices, and that just built up over the days as I was in China, and talked to more people, and just confirmed how integral and well known this psychoactive mushroom is to them. It felt like it was too popular to be dismissed as a folk tale.

The real smoking gun then came a few years later when I heard some remarkably similar reports of mushrooms causing Lilliputian hallucinations in a completely different part of the world in the northern Philippines.

That really got my attention. I wanted to know if this is the same species as the one in China, or something completely different? But no-one had ever sequenced or studied the mushrooms in those regions, we just didn't know what it was. So I traveled there, went into the forest and on the last day was able to finally find the mushroom that the local people said was the one that made you see little people. At first when I collected it I couldn't tell if it was the same as the one in China.

When I got the DNA sequencing back it was one of the most exciting moments of my whole research. It was actually the same species as the one in China, which was completely unexpected, because that species, L. asiatica, was thought to only be found in China. Now we have a whole new record in a country that has independently discovered the same specific psychoactive properties belonging to it.

BT: Skipping forward to the more recent research that you've published this month, what have you found out about the pharmacology behind the mushroom's psychoactive properties?

CD: Just this month I was finally able to publish research that sequenced the whole genomes of not just L. asiatica, but actually all of the species in this group. I did that because I wanted to understand what psychoactive chemicals might be causing this effect and if it’s something that's found more widely in the mushroom kingdom, or only in this one species; so I needed to understand the whole evolutionary relationships and history of the group.

By sequencing the whole genome, we could look for genes within it that we know are responsible for synthesizing psychoactive compounds. For example, we know the genes that are needed to make psilocybin, and we looked for those genes and they were notably absent. We then confirmed this by looking at a chemical extract of the mushroom and screening all the compounds within it, finding again that there was no psilocybin.

There weren't even any known psychoactive compounds, so it seemed like this must be some new hallucinogenic compound waiting to be discovered, because there's nothing that matches anything in our database.

BT: What work are you doing now to isolate the psychoactive compound?

CD: It can be a long and painstaking process to go from a complicated organism that has hundreds of molecules in it to one causing a single effect. We've been screening the chemical extracts in mice, for example. We give them an extract of this mushroom, and we also give them an extract of a placebo or a blank control and we watch how their behavior changes. With L. asiatica, they behave strikingly differently than in the control, so that shows that there is a bioactive effect going on.

We then take an extract and split it into like 20 fractions, with each fraction containing a different subset of the mushroom’s chemicals. Then we test each of those 20 in the mice, and we see, okay, 19 of these have no effect, and then one of them does have an effect. That way we can narrow down the chemical responsible.

There's also other more complicated methods that we're pursuing. But still to this day we haven't definitively found the actual chemical responsible.

BT: Do you at least have a few candidates?

CD: I'll say this: We’ve narrowed down whatever is causing the activity in mice to a few candidates, but we don't know if the thing that's causing activity in mice is the same thing causing hallucinations in humans.

Mushrooms can have a variety of different bioactive effects, and there's going to be more testing needed to confirm that it actually has the specific hallucinogenic property. It could all just be a red herring that we're chasing, and so that's one of the reasons why it takes a long time to definitively determine an active biochemical.

BT: I know you’re approaching this from the mycology side, but the same visions being consistently reported between cases implies one or more regions of the brain responsible for seeing little people. What work has been done on the neuroscience behind Lilliputian hallucinations? Has anyone identified the regions of the brain it's hitting?

CD: I mean, that's a great question. As far as I know there's really nothing known about the parts of the brain that are being activated. Lilliputian hallucinations have been documented for over 100 years from causes outside of mushrooms — people get them sometimes during alcohol withdrawals or certain neurological conditions associated with old age, like dementia or Charles Bonnet syndrome.

But in all those cases, psychiatrists and neurologists don't really have a treatment for those people because they don't know how it works in the brain. If you don't understand the mechanisms involved, you can't treat it, so it remains a mystery to this day. Hopefully more neuroscientists can use this mushroom to study it, because that's one of the reasons it's remained mysterious. We didn't have a tool that could produce these effects reliably. It was all random, inconsistent occurrences.

But now, hopefully, this mushroom can provide a tool that can reliably produce these effects and give us insights into the brain and body mechanisms causing these Lilliputian hallucinations.

BT: DMT, LSD, magic mushrooms — most psychedelics usually hit serotonin receptors, yet weirdly there's no sign of that here. Is there any possibility it's doing something upstream with the same effect?

CD: I would say we're not sure, but I'll say that there are very unique effects of these symptoms — that they take 12 to 24 hours to kick in, and then can last several days — that are unlike any known receptor interaction classical psychedelics work through. So it might be something more complicated going on in the body than just a single receptor being activated.

BT: Have you spoken to anyone who has suspicions of what parts of the brain might be involved?

CD: I haven't. However, I'll say that the very striking visual hallucinations of something being completely integrated with the real world environment around you can be a great tool to understand the mechanisms of perception, and how we perceive reality in the absence of this drug.

I mean, this is... I don't know of anything else like this that can produce these very realistic hallucinations integrated with the real world. So, hopefully, it can give us insight into how we perceive reality normally.

BT: With other psychedelics, people report seeing real objects altered or patterns appearing that aren't there. But the source of all that is a warped version of stuff you're already seeing. Here, your visual field is unaltered, except, of course, that there are hundreds of mischievous tiny people fooling about in it.

CD: It's really different, yeah. Like you said, either the objects that are normally there are changed in some way, or people go to a different world in their minds, behind closed eyelids.

But to see, with your eyes open, the world as it normally appears with the addition of very realistically-rendered people, that others don't perceive, is really striking.

BT: So there have been scant reports of similar hallucinations occurring elsewhere. Papua New Guinea is a strong lead, right? Does that mean that L. asiatica is also there, or could there be another mushroom that's kind of having effects?

CD: That's one of the most exciting questions that I'm interested in. It still remains a big question mark. What mushroom in Papua New Guinea is causing these effects? There's no records of L. asiatica even occurring in Papua New Guinea, but it could be that mycologists just haven't documented it there. Mycology is still a very young discipline, and there's a lot of parts of the world where we still don't even know the mushrooms that exist there.

Or it could be a completely different mushroom, which would be exciting for its own reason — it would show that whatever compound is causing this is perhaps more widespread, and it's not just found in one species. More research needs to be done, for sure.

The cultural use and consumption of these wild mushrooms in Papua New Guinea has faded since the 1960s, when they were prevalent and reported. There's been no cases of this "mushroom madness" for decades. The reasons could be twofold, either the local people have lost that tradition and practice, or the forests have also been deforested. It's still a big question mark as to what's going on in Papua New Guinea.

BT: On mycology being a young field, the estimates for the world's fungal species that have been described float between 3% and 10%. It makes one wonder what else could be out there. Have you heard any other intriguing mushroom rumours?

CD: Who knows what else is out there waiting to be discovered. That’s what got me into this field. I was actually initially in astronomy, because I was so captivated by exploring the unknown. And then I realized there's a whole universe of life here on Earth that is still unexplored, the fungi, and so that's when I started studying them.

So I'm sure there are other crazy, promising, interesting fungi out there just like this. But I can't think of specific cases to cite. I mean, if it's unknown, it's unknown.

BT: I was wondering if you were close to performing the same trick twice.

CD: Yeah, hopefully others can.

BT: Do you think the window for them will exist for much longer? You mentioned these things grow symbiotically with trees through mycorrhizal networks. It's not just in Papua New Guinea where humans are chopping a lot of those forests down.

CD: Yeah, absolutely. Not only are the forests being lost, but also the cultures that have this traditional knowledge are also being decimated, so we're losing a lot of knowledge about the natural world that has taken thousands of years of experimentation to accumulate, and it's a tragedy.

It's like burning down a library, but the library contains millions of years of evolution and thousands of years of cultural knowledge. I'm sure there's mushrooms every day that are going extinct, and those might be holding promising new medicines or strange new drugs that can change our understanding of ourselves and the world, or have solutions to environmental problems.

It is definitely a race against time, and certainly the reason why I think fungal conservation and cultural conservation and respect is needed.

BT: Finally, I can’t get to the end of this interview and not ask you. Have you eaten raw or undercooked L. asiatica? Have you seen the tiny people?

CD: Of course I’ve been tempted to. But I haven't actually eaten it raw intentionally for two reasons. One, the effects last several days, and also apparently cause a delirium that might not be so pleasant. So, it's a pretty serious undertaking, I'd say.

Then secondly, we also just don't know anything about the dose of the mushroom that causes the effects, because people are just eating this in a meal, and then in some cases they get these psychoactive effects. We don't know how much is required, so there'd be a lot of careful experimentation of consuming raw mushrooms and then increasing the amount. That would take, I think, a lot of time and mushrooms to go through.

I'm certainly super curious, and that’s why I'm studying this in the first place. But there's already hundreds of reports out there, I don't feel like I need to prove anything. Personally, at this point, I just don't feel like it's not worth the commitment to be having these hallucinations for several days.

Editor's note: This interview has been edited and condensed for clarity.

Empires have shaped human history, often growing from a single city or cultural group into territories spanning continents.

Some empires rose through conquest, and others grew through trade or shrewd alliances. Their borders, captured in maps described by historians or revealed by long-forgotten burials and artifacts, show just how far their influences once reached.

Whether you’re a casual history fan or a devoted scholar of the ancient to modern world, this quiz offers a chance to test your knowledge of bygone empires and the lands they once ruled.

Remember to log in to put your name on the leaderboard; hints are available if you click the yellow button!

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China's top-secret space plane just released another unknown object over Earth, raising concerns about exactly what the mysterious vehicle is up to. The clandestine spacecraft has now deployed at least nine payloads around our planet since 2022 — and we don't know what any of them really are.

The Shenlong, or "divine dragon," space plane is a reusable, robotic spacecraft that China has repeatedly launched into low Earth orbit (LEO) on board vertical rockets, before reentering the atmosphere for a horizontal runway landing — similar to the iconic spacecraft from NASA's now-defunct Space Shuttle program.

The space plane has never been photographed by outside nations, so we have no clear idea what it looks like or how large it is. Officials from China's space sector have yet to reveal any meaningful information about its design or purpose.

Shenlong first launched into space on a two-day mission in September 2020, before completing an eight-month stint in LEO between August 2022 and May 2023, and a nine-month spaceflight between December 2023 and September 2024. It released its first payload shortly after the launch of its second mission and deployed seven more objects during its third mission, six of which were ejected simultaneously.

The space plane's fourth and ongoing mission began on Feb. 7 when it launched atop a Long March 2F rocket that lifted off from China's Jiuquan Satellite Launch Center in the Gobi Desert, according to Live Science's sister site Space.com. And to date, there has been no news of its current activities.

But on June 22, the private space surveillance firm LeoLabs, which specializes in tracking spacecraft in LEO, detected "an unknown object in the vicinity [of the spaceplane]," according to a post on X. The mystery payload was initially picked up by one of the company's radars in New Zealand and did not match any other object in the company's catalog.

Later on the same day, LeoLabs representatives added in an update to the post that, following additional observations from across the company's radar network, they had "independently cataloged this object and assessed with high confidence that it was released from the Chinese space plane."

On June 23, Jonathan McDowell, an astronomer and satellite tracking expert at Durham University in the U.K. and previously with the Harvard & Smithsonian Center for Astrophysics, confirmed in another X post that the new object originated from Shenlong and was being tracked by the U.S. Space Force.

McDowell also speculated that it could be a "cubesat" — a small, often box-like satellite frequently deployed as a secondary payload alongside larger spacecraft. However, as with the previously released objects, it is unclear what its purpose might be.

Space News previously reported that Shenlong's primary goal might be to conduct rendezvous and proximity operations with other spacecraft and that its payloads may be targets for it to practise flyby maneuvers in orbit.

Others have speculated that the mystery objects could be covert surveillance satellites or possess anti-satellite weaponry, according to Gizmodo. However, to date, there have been no reports of any spacecraft being sabotaged by the space plane or its payloads.

Shenlong has now spent nearly 700 cumulative days in LEO. During that time, amateur photographers snapped some blurry shots of light reflecting off the mysterious space plane. The most intriguing image, captured in August 2024, revealed a bright appendage extending from the main spacecraft. This was most likely a solar array, experts speculated, which is unsurprising considering that most spacecraft are at least partially powered by sunlight.

China is not the only country with a secretive space plane. The U.S. also has its own version, the X-37B, whose two operational models have collectively spent more than 4,200 days in LEO since 2010. However, American officials have been much more forthcoming in revealing information about their space plane's design, mission parameters and research goals.

Who is responsible for AI's output? Artificial intelligence (AI) companies like OpenAI maintain that they are not. In fact, their terms and conditions in 2023 stated that responsibility lies solely with the user. A German court disagrees.

On June 9, a Munich court (subject to appeal) ruled that Google can be liable for false claims produced by its AI summaries, drawing a sharp line between ordinary search results and machine-generated assertions. In other words, AI companies must be held legally responsible for the output that is created by their systems and pushed to users.

The court's logic was simple but profound: Search results point outward to sources, while AI summaries speak in Google's own voice. That distinction matters because it goes to the heart of what kind of speech deserves protection — and what kind is subject to legal scrutiny. The U.S. should follow the German court's lead. In the absence of such provisions, the entire burden of discerning truth from falsehood falls on the reader.

In the U.S., the First Amendment is intended to protect the right to speak, argue, persuade and offend. But freedom of speech is not free of caveats. It does not allow people to incite others to commit crimes, to threaten or to defame, for example. And if speech causes material harm, speakers can be held liable for those harms. When a company chooses to put a synthetic answer engine between users and the web, it is no longer merely hosting speech; it is producing an amalgamation of complex mathematical expressions that, outputted as text, resemble human speech. AI companies want this text to enjoy the same protections user-generated text has, while simultaneously dodging all the responsibility associated with being a speaker.

The roots of this dilemma go back to the 1990s, when the advent of online forums and social media created a new problem. Unlike traditional publishers, forum hosts needed to provide a platform for their users' voices, without being liable for what their users were saying. This problem was addressed with Section 230 of the Communications Decency Act, enacted in 1996. Section 230 was a bipartisan amendment written to preserve the internet as a space where ordinary people could speak (or post) without the forum host becoming liable for every third-party post.

That broad immunity reflected a democratic judgment: If the law made platforms responsible for all user content, many would censor aggressively or stop hosting speech altogether. This would limit free speech. Section 230 was meant to protect the ecosystem of human expression. In this sense, hosts of online spaces can be seen as providing a public square where speech occurs.

The lawmakers who passed Section 230 three decades ago could not have foreseen a world populated by chatbot-generated text. As such text increasingly leads to real-world harms, lawsuits are proliferating and tech companies are deploying a number of often-contradictory legal strategies to avoid culpability. In some cases, they are arguing that AI-generated text is not speech, but rather simply a tool, and that companies are therefore protected as "carriers," not "publishers" by Section 230's protection of a public forum for free expression.

But the companies deploy this argument only when it suits them.

In other cases, they are increasingly reaching for free-speech language to defend AI-generated text because free-speech protections provide broad legal immunity. For example, in a Florida wrongful-death lawsuit against Open AI (maker of ChatGPT), a plaintiff has alleged that the company’s chatbot pushed a 14-year-old to take his own life. OpenAI argued that the chatbot was protected by the First Amendment, though the judge dismissed that defense and allowed the case to proceed.

Neither of these arguments is convincing. AI companies are not merely providers of a public forum, as the words produced by their AI summaries and chatbots are generated by the company's products.

Similarly dubious is the claim that bots should be seen as equal participants in a public square. This is a category error. Free speech is a human right — it protects people as speakers and listeners in a democratic public sphere. Bots do not vote, deliberate, dissent, worship or participate in civic life. They generate text, but they do not possess a moral and political standing. Bots have no skin in the game.

What, then, justifies constitutional protection in the first place? Extending the strongest speech protections to machines would not defend liberty; it would confuse "botput" with free expression. It would, in actuality, extend the strongest free-speech protection to companies. But that requires a separate line of argumentation that ought to be agreed upon by society.

The Munich court's limited and nuanced way of governing "botput" provides a clear way forward.

Given its history with Nazism, Germany does not enshrine free speech quite the way the U.S. does. But the German court's arguments still provide a useful template for a future U.S. ruling.

The Munich court held that if a system simply points users to sources, it resembles traditional search and should continue to enjoy broad protection afforded to aggregators. If it synthesizes claims, imitates the tone of authority, and offers a single authoritative answer generated by an AI, it should carry corresponding duties of care that entail liability for the company.

The need for such safeguards is only growing. AI-generated summaries can be copied instantly, scaled globally, and repeated across interfaces until a falsehood becomes regarded as "truth." That is not a hypothetical concern; it is already happening.

Moreover, it is important to remember that the original intention of Section 230 was to insulate platforms from liability for third-party posts, not their own text.

This is not an anti-innovation argument. AI can be helpful, efficient and genuinely transformative. The law should encourage useful tools while insisting that the companies deploying them remain responsible for the foreseeable harms of their products.

We need clearer rules that keep the internet free for people while preventing machines from laundering falsehood into authority. The German ruling points toward that future. The sooner U.S. law and policy follow, the better chance we have of preserving our shared reality and a healthy democracy.

Opinion on Live Science gives you insight on the most important issues in science that affect you and the world around you today, written by experts and leading scientists in their field.

With the aid of AI, scientists have identified a potential new antibiotic to treat gonorrhea, a sexually transmitted bacterial infection that's increasingly resistant to drugs. The newfound antibiotic has shown promise in lab experiments involving a "vagina on a chip," researchers report in a new study.

"There's an urgent need to address antibiotic resistance in gonorrhea, and discovering new antibiotics is one of the key strategies," Dr. Jeffrey Klausner, a clinical professor at the University of Southern California who was not involved with the work, told Live Science. "It's exciting to see the application of AI in this area of public health."

Every year, over half a million people in the United States catch gonorrhea, which causes symptoms such as pain and fluid discharge. In severe cases, untreated gonorrhea can lead to infertility. If it's acquired during pregnancy, the infection can pose risks of miscarriage and early birth, and if it's passed to babies, it can potentially cause sepsis or newborn blindness if left untreated.

Gonorrhea bacteria, called Neisseria gonorrhoeae, often carry mutations that confer resistance to one or more antibiotics, limiting treatment options. The widely used antibiotic ceftriaxone remains the go-to drug, but resistance to this drug is soaring globally. For now, only 0.1% of cases in the U.S. are resistant, but rates are as high as 10% in some Chinese provinces and 27% in Hanoi, Vietnam.

Scientists are searching for novel antibiotics to tackle resistant bugs. To pinpoint new drugs, they typically screen large libraries of compounds to find ones that kill the bacteria. However, these experiments are slow and don't keep up with the pace at which new resistant strains are emerging.

So, in a study published June 17 in the journal Science Translational Medicine, researchers instead harnessed AI to expeditiously wade through a bevy of antibiotic candidates. They trained the AI models to spot potential antibiotics by studying patterns in the chemical properties of 1,755 clinically approved drugs that either do or don't treat drug-susceptible gonorrhea.

Next, they ran their trained models on a different set of approximately 6 million compounds, finding 213 possible hits. They whittled down that list by process of elimination, first by excluding compounds that were too similar to existing drugs in modeling experiments. Those drugs might not have worked against drug-resistant superbugs. Next, through lab experiments, they removed compounds that weren't potent enough against gonorrhea or were too toxic to human cells.

One of the most promising compounds that emerged was called MP20, which the researchers then put to the test.

Scientists often use laboratory mice to study new drugs, but it's difficult to establish a gonorrhea infection in mice. That's because the bacteria are so adapted to humans, study co-author Dr. Melis Anahtar, a physician scientist at Massachusetts General Hospital, told Live Science. (She is listed as an co-inventor on a provisional patent for MP20.)

Additionally, "there is a large push, especially in the U.S. administration, to move away from animals and to use more human-organ-mimicking systems" to test new drugs, she added. (Many scientists are developing such laboratory models of the human body for drug testing, but those models aren't necessarily ready to replace animal testing yet.)

For this study, the researchers tested MP20 using a vagina-on-a-chip model. This small device contains a layer of cells that mimics the lining of the vagina and a layer of fibroblast cells, which are found deeper in the tissue. These layers are connected to a nutrient-filled flow channel that mimics the bloodstream.

The researchers added gonorrhea bacteria to the chip's first layer, mimicking how the bug is sexually transmitted. Then, they administered MP20 through the flow channel, mimicking body-wide administration of the drug, to see if the antibiotic could cross through these different tissues and reach the bacteria.

"It could actually get through all those epithelial barriers and accumulate at a concentration that was sufficient to kill the gonorrhea," Anahtar said. MP20 worked just as well as the existing drug ceftriaxone; no bacteria were detected at all after treatment with either drug.

More experiments are needed before MP20 could potentially reach the clinic and help patients. "You need to demonstrate these chemical compounds are safe and are not going to have any human liver toxicity, kidney toxicity or severe side effects," Klausner said.

He noted that an antibiotic's effectiveness depends on the anatomical site infected by the bug. So the researchers will need to assess how effectively their compounds, if delivered via the bloodstream, can reach the penis, rectum, throat and vagina to treat gonorrhea at any of those sites.

Anahtar thinks AI models will prove pivotal in the quest for new drugs, especially now that chemists can prepare a wider array of compounds than ever before. "In 2012, I think there were a million compounds that you could just buy from commercial vendors, and now it's more than 70 billion," she said. She aims to grow and improve her models to test even more compounds at once.

This article is for informational purposes only and is not meant to offer medical advice.

Nearly 70,000 years ago, modern humans created stunning rock art in an unexpected place: the tropical Indonesian island of Sulawesi. The finding, announced in January, made headlines for being the oldest known rock art in the world.

But the discovery's location also highlighted another surprising finding: that members of our species, Homo sapiens, were thriving in the tropics tens of thousands of years ago.

Researchers have long thought that early humans didn't live in tropical rainforests, as these places haven't yielded human fossils and are teeming with dangerous life, including venomous animals, poisonous plants and parasites that would deter early populations.

But that perspective has been changing over the past few decades. Sulawesi's ancient rock art is one of several clues that modern humans may have lived in tropical rainforests for hundreds of thousands of years. That would mean modern humans could have been living in these hot, wet regions since soon after the emergence of our species in Africa around 300,000 years ago.

Understanding how, when and where modern humans inhabited rainforests — and how that shaped our evolution — "may give us an insight into something about what it means to be uniquely human," Patrick Roberts, an archaeologist and anthropologist at the Max Planck Institute of Geoanthropology and author of the book "Jungle: How Tropical Forests Shaped World History" (Penguin, 2022), told Live Science.

From one origin story to many

Conventional wisdom held that modern humans emerged from one parent population in an East African savanna and did not encounter rainforests until around 12,000 years ago, after agriculture emerged to support survival in these climes. The lack of H. sapiens fossils from Africa's tropics appeared to support this view.

Then, in 2017, scientists identified the oldest modern-human fossils — except they weren't in East Africa, but rather in Jebel Irhoud, Morocco. The following year, Eleanor Scerri, an archaeological scientist at the Max Planck Institute of Geoanthropology in Germany, and her colleagues reviewed archaeological evidence, including the Jebel Irhoud fossils, and integrated it with genetic data from present-day populations. The evidence pointed toward H. sapiens originating from many subdivided populations across Africa.

These populations periodically met and exchanged genes and ideas, but they also spent long periods apart, adapting to different ecosystems and evolving diverse traits. In this new understanding, the earliest members of our species may have evolved not just in the grassy savanna but in tropical rainforests, too.

"One of the implications of the model is, if it's not one place and it's many places, then maybe it's not one ecosystem," Scerri told Live Science. "Maybe it's many ecosystems."

Because rainforests come with their own set of environmental pressures, people who lived there may have evolved traits to handle those challenges. When different early human populations came together, tropical rainforest dwellers would have contributed different gene variants than populations from open savannas. The ability to adapt to a variety of environments, including rainforests, may have come in handy later, when H. sapiens spread out of Africa and into tropical Southeast Asia, including places like Sulawesi.

But establishing what these traits were would first require evidence that humans lived in rainforests close to the dawn of our species.

Rainforests are terrible for fossil hunters

Unfortunately, the highly acidic soil in rainforests degrades organic material like bones. This makes evidence of ancient humans, such as fossils, or human activities, like bone arrows or potential woven fiber baskets, exceptionally rare in rainforests.

Even in the few instances this evidence is found, the conditions make it hard to date and contextualize it. Archaeologists often date early human fossils by measuring radioactive isotopes (versions of elements), such as carbon-14, in distinct, undisturbed layers of sediments — broken-down rocks and minerals that form via erosion and weathering. The more sediment layers there are, the longer the period of history that can be traced. But weather conditions in West and Central Africa's rainforests have left few long sediment sequences.

The lack of long sediment sequences also significantly reduces the odds of finding fossils at all, said Antonio Rosas, a paleobiologist at the National Museum of Natural Sciences in Spain who has been searching unsuccessfully for such fossils in Equatorial Guinean rainforests since 2014. "To be honest, I think I gave up the possibility of finding fossils properly," Rosas said.

Written in stone

As a result, many researchers studying early H. sapiens evolution have focused on a material that does preserve: stone.

In Africa, stone tools reveal humans were in coastal tropical forests in what is now Kenya roughly 78,000 years ago, the tropical rainforests of what is now Equatorial Guinea from around 45,000 years ago, and the rainforests of what is now the Democratic Republic of the Congo around 18,000 years ago.

Then, in 2025, researchers revealed that stone tools previously found in a tropical rainforest in the Ivory Coast in the 1980s were 150,000 years old. Because the area was also a tropical rainforest 150,000 years ago, this is evidence that our species inhabited rainforests "much earlier than previously thought," study first author Eslem Ben Arous, a geochronologist and archaeologist at the National Research Center on Human Evolution in Spain, told Live Science in an email.

The antiquity of these quartz tools — which were a mix of flakes and heavy-duty picks and choppers — show that early H. sapiens were capable of designing technology to survive in dense tropical forests. Dense forests weren't a barrier for early humans at that time, Ben Arous said.

Direct evidence

Although stone tools show ancient people were venturing into forests for food or living there part time, they don't prove humans lived there year-round. To do that, researchers still need fossils.

By analyzing the isotopes of elements found in human tooth enamel, researchers can reveal whether our distant relatives actually lived in rainforests. That's because closed, dense canopy rainforests have low levels of sunlight and high carbon dioxide, and the ratio of isotopes of elements in a person's teeth can reveal if they spent a lot of time in those conditions as a child.

Currently, zinc isotopes in two 46,000- to 63,000-year-old human teeth found in Tam Pà Ling cave in Laos are the oldest evidence of humans eating foods mainly from a tropical rainforest.

Similar evidence is currently lacking from African rainforests. But the ability to adapt to many different environments, including rainforests, and the capacity to develop highly specialized traits for such environments is "what's unique about our species," Roberts said.

Identifying adaptations

Early members of our species would have required certain adaptations to live in rainforests. So what were they?

Without preserved DNA or fossils, anthropologists guess by looking at contemporary populations living in the tropics. Many modern-day rainforest inhabitants are small, because it may help them cool off more easily, reduce their caloric needs, and make it easier to move in dense rainforests.

An analysis published in 2019 also found key differences in genes related to immunity and development in African rainforest hunter-gatherers compared with neighboring farmers. For example, the gene PITX1 — which codes for proteins crucial for limb development — is one of several genes that contributes to small stature and shows strong signs of positive selection in Gabonese hunger-gatherer populations.

There is evidence in multiple rainforest dwelling populations, including in those Gabon hunter-gatherers, of selection against specific pathogens.

Although early H. sapiens living in rainforests likely faced similar pressures, we don't have any evidence that similar adaptations evolved in these ancient members of our species.

Ancient DNA may be the key

But some scientists hope to someday find evidence of these adaptations in ancient DNA.

DNA preservation was historically considered impossible in hot and humid environments, but that assumption "turns out to be only partially true," Miklós Bálint, a functional environmental genomicist at the Senckenberg Biodiversity and Climate Research Centre in Germany, said in a statement.

Bálint and his colleagues recently reviewed ancient environmental DNA (aeDNA) recovered from tropical environments. They found 113 studies reported aeDNA in tropical and subtropical habitats between 1998 and 2025, including 1 million-year-old aeDNA extracted from a lake in Indonesia. This DNA came mainly from nearby plants, not from ancient humans. But because people leave "millions of DNA traces" in their environment during their lifetime, human DNA should also be present and retrievable, Bálint said in the statement.

"Obtaining DNA data will be a truly fundamental breakthrough in tropical forest research," Ben Arous said. For example, these genetic remnants peppered throughout the environment could reveal how humans changed the ecosystem, how they moved and interbred, and which diseases and parasites ancient people faced.

The new discoveries point to the need for more archaeological research in rainforest environments, Scerri said. Current efforts in Benin appear "really, really promising," Scerri said, and she and her team are also working on projects in Guinea, Ghana and Senegal, which are also yielding clues to ancient human habitation. "We're making some incredible finds," she said.

"There is enough evidence now to justify investigating areas that used to be well off the human origins map, considered to be very far from the main stage of human evolution," Scerri said.

The question now is how much further back in time people were living in rainforests and using their resources. "We consider ourselves to really be scratching the surface," Scerri said.

Human evolution quiz: What do you know about Homo sapiens?

The Socotra Archipelago is a cluster of four islands and two rocky islets belonging to Yemen. It is nicknamed the "Galápagos of the Indian Ocean" due to its staggering biodiversity, which includes hundreds of species that aren't found anywhere else in the world.

Located about 250 miles (400 kilometers) south of the Arabian Peninsula and 140 miles (220 km) east of the Horn of Africa, the Socotra Archipelago is home to around 60,000 people. As of 2023, visitors could reach it only via a weekly flight from Abu Dhabi, United Arab Emirates, that had to be booked through WhatsApp and was often canceled without reason.

The archipelago has one main island, Socotra, which makes up 95% of the landmass, along with three smaller islands and two islets. The main island hosts snow-white sand dunes, a central mountain range, and limestone plateaus peppered with drought-resistant cucumber trees (Dendrosicyos socotranus) and umbrella-shaped dragon's blood trees (Dracaena cinnabari) that do not exist elsewhere on Earth. The dragon's blood tree gets its name from its crimson resin, which is used for natural medicine and as a pigment.

Socotra was recognized as a UNESCO World Heritage Site in 2008, thanks to its unique plants and animals, which have evolved in isolation for at least 15 million years. Socotra is a leftover fragment from when Arabia and Africa pulled apart around 30 million years ago. The split opened the Red Sea and the Gulf of Aden, which connects the Red Sea and the Arabian Sea.

More than one-third of Socotra's plants, 90% of its reptiles and 95% of its land snail species are found exclusively in the archipelago, according to UNESCO. The marine life in Socotra is also incredibly diverse; it includes sea turtles, whale sharks (Rhincodon typus) and more than 250 species of reef-building corals.

The archipelago is tricky to get to, and pirates sometimes hijack vessels in the surrounding seas. Due to Yemen's ongoing civil war, many governments, including the U.S., advise against all travel to the country, including Socotra, citing threats of terrorism, unrest, crime, health risks, kidnapping and landmines.

Discover more incredible places, where we highlight the fantastic history and science behind some of the most dramatic landscapes on Earth.

Growing water scarcity could hamper the expansion of lithium mining in the U.S., deepening its reliance on foreign imports over the coming decades, a new study finds.

Lithium is used in electric-vehicle and energy-storage batteries due to its high energy density and low weight compared with other minerals, but mining it requires a huge amount of water. Currently, the U.S. has only one active lithium mine, in Nevada, and with demand for the metal projected to explode over the next few years, the government and private companies are planning to open at least 115 new mines across the country, according to the study.

However, most of the proposed mines that are in advanced stages of development overlap with water-stressed areas, specifically in the western U.S. In the new study, published May 28 in the journal Communications Earth & Environment, scientists found that if lithium mines start operating in these regions, they will compete for water not only with households, agriculture and industry, but also with one another and with other proposed mineral mines.

"Future water availability under climate change may constrain whether new lithium mines will have sufficient water to operate," study senior author Jennifer Dunn, a professor of chemical and biological engineering and the director of the Center for Engineering Sustainability and Resilience at Northwestern University in Illinois, told Live Science in an email.

The U.S. imports more than 50% of its lithium, mostly from Chile and Argentina. Policymakers and corporations want to reduce this dependence, but even with the existing Nevada mine and the 22 proposed mines that are the closest to coming online, the U.S. won't have enough lithium to meet domestic demand, Dunn said.

"Every mine produces a different amount of lithium — depending on its deposit type, lithium grade, and final product — so we are unable to determine how many mines exactly would be needed," she said. "Our analysis estimated that if all 22 advanced [stage] proposed mines and the sole operating mine continued operation into 2050, 0.14 [to] 0.25 million metric tons [0.15 to 0.28 million tons] of lithium content in products could be produced per year."

This range falls short of the 0.83 million to 1.9 million tons (0.75 million to 1.7 million metric tons) of lithium per year that other researchers previously estimated the U.S. would need to cover its own demand.

However, the water demand to produce more lithium would be astronomical. That's because lithium is typically extracted from brines and rocks known as pegmatites, which require large-scale evaporation and aggressive processing with fresh water, respectively.

To find out if the U.S. would have enough water to support additional lithium mines under intensifying climate change, the researchers calculated the future water use of the 23 lithium mines most likely to be active in 2050, using data from mining companies. Then, they layered this projected water use on top of projected water uses from other sectors, such as agriculture and manufacturing, under four modeled socioeconomic-climate scenarios between 2040 and 2060.

The researchers found that the available water supply will, in most cases, be insufficient to support new lithium mines. The starkest example was Southern California's Salton Sea, which contains roughly 4.5 million tons (4.1 million metric tons) of lithium. The Salton Sea is fed by the Colorado River and showed the least water available to support lithium mining and other water demands, owing to the river's dwindling flow.

Lithium deposits in the U.S. are clustered in Nevada, Arizona and California. These are also some of the most arid and water-stressed states. Although the study found an increase in rainfall under a high emissions, "business as usual" climate scenario, these regions likely won't have enough water to support other activities, let alone additional lithium mining, Dunn said.

There were four exceptions in the study, including lithium-rich sites in North Carolina and Arkansas, which may have enough water to support future mines. However, there are other concerns related to lithium mining.

"Many of the lithium deposits in the United States reside near federally-recognized Indigenous and Tribal reservations, and the mines could violate Indigenous rights," Dunn said. "Lithium mining could also disturb sensitive ecosystems and biodiversity. And, like many other mineral mines, pollution, soil erosion, and water contamination are concerns."

Together, the findings highlight a catch-22 in the quest to source lithium: Lithium is essential to support a green energy transition and curb climate change, but shrinking water availability due to global warming is making it harder to extract lithium.

The study did not explore potential improvements to water-use efficiency that could reduce the pressure on some water resources and increase the availability for activities such as lithium mining. Nor did the researchers include water exchanges known as interbasin transfers (IBTs) in their analysis, due to the lack of studies about these transfers under climate change.

"IBTs could help supply water to arid or water-stressed regions," Dunn said.

Still, there is likely an upper limit on how much water can be allocated to lithium mining in a warming world, according to the study. This means the U.S. will probably continue to partially rely on foreign supply chains for lithium and other critical minerals.

Researchers have created a new chip that turns one of quantum computing's biggest frailties into a programmable feature. They say this first-of-its-kind experiment could carry implications for developing error-corrected, fault-tolerant quantum computers in the future.

Unlike digital bits in a classical computer, which are represented as either "on" or "off," a quantum bit (qubit) has a much higher failure rate — roughly 1 in 1,000, compared with 1 in 1 billion for digital bits. That's because quantum computers are susceptible to "noise" — interference that's often cited as the biggest barrier preventing quantum computers from being more capable than the fastest supercomputers.

As engineers develop quantum systems that are large enough in scale to perform useful functions, the amount of noise generally increases. Scientists can combat this noise using various error-correction techniques. But despite recent progress in this field, the challenge of developing a truly fault-tolerant quantum computer remains.

That's because noise comes from various sources, many of which scientists have no control over. These include unpredictable disturbances in Earth's magnetic field, nearby radiation from Wi-Fi routers and other electronic devices, cosmic rays from space, and even neighboring qubits. This unpredictability has made it difficult to study this noise.

But researchers have now devised an experiment that turns the error-correction paradigm on its head. Instead of trying to rid a quantum system of noise, they have created a chip that lets them introduce errors at will so they can examine noise and signal loss in a controlled environment.

In the new study, published May 9 in the journal Nature Communications, the researchers described how this quantum computing chip uses photons captured from laser pulses as qubits. It also has what the researchers called a "side channel" that photons can be diverted to so the team could imitate the losses that occur under normal operating conditions and study them in detail.

"In many quantum experiments, anything that does not fit the ideal textbook picture is simply treated as loss and ignored," Govind Krishna, first author of the study and a doctoral student at the KTH Royal Institute of Technology in Sweden, said in a statement. "The chip enables us to simulate those non‑ideal processes in a controlled way."

The chip can be programmed to imitate errors in multiple ways, thus making it possible to simulate specific types of loss due to noise. The researchers can essentially modulate the amount of noise the system simulates in order to generate conditions for practical study. They do this by adjusting the number of photons that get sidetracked and the degree of quantum superposition, in which qubits share information over space and time through a process called quantum entanglement.

"The chip works a bit like a programmable railway junction for quantum light," Krishna explained. "By changing the control signals, we can decide whether the photons mostly stay on the main track, are mostly diverted to the loss channel, or end up in superpositions that depend on their quantum interference."

This means the noise itself becomes an asset that scientists can use to further improve quantum computing systems, rather than trying to eliminate it.

According to the study, the novel chip design can model errors in any type of quantum system — even a non-photonic system, like a superconducting qubit-based quantum computer or one designed with neutral atom qubits.

The scientists ultimately want to give researchers more tools to study how noise infiltrates and accumulates in quantum circuits. This could, in theory, lead to a greater understanding of how to perform more effective error-correction techniques in future systems, especially as those systems scale and interact with their environment even more.

"Understanding how quantum systems behave under this messiness is crucial if we want our experiments to say something about nature as it really is, not just idealized setups," Krishna said.

Some of the last surviving Neanderthals displayed greater genetic diversity than scientists previously thought, a new study of ancient DNA reveals, challenging the idea that genetic decline was the main cause of their extinction.

Neanderthals were among the closest relatives of modern humans, with their lineages diverging around 500,000 years ago. Although Neanderthals once ranged across Eurasia, they are usually thought to have gone extinct about 40,000 years ago.

Much remains a mystery about why Neanderthals went extinct. Previous genetic analyses of DNA from Neanderthals in Siberia revealed that those groups lived in small, isolated communities with signs of frequent interbreeding between close relatives. This raised the possibility that Neanderthals might have died off due to genetic deterioration from inbreeding.

However, DNA from Neanderthals is rare, and high-quality genomes are especially uncommon; until the new study, only four were available, three of which came from Russia, at the edge of the Neanderthals' geographic range. As such, it was uncertain whether DNA analyses of just a few Neanderthals accurately reflected why the entire lineage went extinct.

In the new study, published Wednesday (June 24) in the journal Nature, scientists recovered genetic data from 27 more Neanderthals, including a new high-quality genome, one with enough DNA for scientists to analyze many times to ensure the accuracy of their results.

"Some people might think the retrieval of ancient DNA from Neanderthals is now conventional; the truth is that this is far from trivial," Carles Lalueza-Fox, director of the Natural Sciences Museum of Barcelona in Spain, who did not take part in this research, told Live Science. Adding 27 more Neanderthals "to our general knowledge is a remarkable achievement."

The new data comes from 10 archaeological sites in northwestern Europe, in present-day Belgium and France. Seven of these sites were located in the Meuse Basin in Belgium, an area with a high concentration of late Neanderthals — those who lived after about 70,000 years ago. One of these sites was the Goyet cave system in Belgium, which recent findings suggested may hold evidence of Neanderthal cannibalism.

The genetic analysis revealed the late Neanderthals of northwestern Europe separated from a common ancestor with other known Neanderthals about 54,000 years ago. The newly studied late Neanderthals were more closely related to one another than late Neanderthal groups in other parts of Europe.

The scientists discovered that unlike other Neanderthal groups, many of the Neanderthals they examined showed little evidence of inbreeding. In addition, the new high-quality Neanderthal genome did not show lower genetic diversity than earlier Neanderthals. This finding suggests that reduced genetic diversity may not have been the primary reason Neanderthals died off.

"I am very happy to dispel the misconception that all Neandertals went extinct because they were too inbred," Alba Bossoms Mesa, a doctoral researcher at the Max Planck Institute for Evolutionary Anthropology in Germany and first author of the study, told Live Science.

The study also revealed that the late Neanderthals of northwestern Europe that they analyzed were a large population of genetically interconnected groups, rather than the genetically isolated communities seen among Siberian Neanderthals.

"Neanderthals lived across vast regions of Eurasia over hundreds of thousands of years, so of course there is a lot of variation between them," Bossoms Mesa said. "It's not good to generalize about Neanderthals. We have to keep diversity in mind."

In addition, the newly analyzed late Neanderthals of northwestern Europe displayed a significant level of genetic diversity, dividing into at least four distinct groups, the researchers found. The splits between these groups appeared to originate during relatively warm spans of climate, perhaps reflecting times of population expansion during periods of favorable environmental conditions, the team noted.

Striking asymmetry

The late Neanderthals of northwestern Europe were contemporaries of modern humans (Homo sapiens) in Europe for up to 500 generations, the researchers said. Previous research has discovered Neanderthal DNA in modern-human genomes, revealing these lineages had mingled, with most modern-day humans outside Africa possessing some Neanderthal DNA. However, the new study found no evidence of recent modern-human DNA in these Neanderthals of Belgium and France, suggesting the two groups didn't mate there.

The new findings add to a striking asymmetry seen between Neanderthals and modern humans. "We have several examples of early modern humans who had a Neandertal ancestor only a few generations back," Bossoms Mesa said. "But in contrast, we do not yet have a single confirmed example of a Neanderthal individual with a recent modern human ancestor in their family tree."

There are several possible reasons for this asymmetry, Lalueza-Fox said. For instance, maybe there were genetic problems that prevented H. sapiens DNA from integrating with the Neanderthal gene pool. For instance, a 2025 study suggested that different versions of a gene tied to red blood cell function might have caused Neanderthal-human hybrid women to miscarry their fetuses.

However, "in my view, this conspicuous bias likely reflects a pattern of differential social acceptance among Neanderthals," he noted. "In brief, early modern humans were able to accept kids with Neanderthals but not the opposite, for whatever reason. This pattern, coupled with declining diversity in some Neanderthal populations, could explain their final extinction."

Future research can see if Neanderthals at other sites, such as the Iberian or Italian peninsulas, displayed similar levels of genetic diversity, Bossoms Mesa said. However, analyzing samples from these latter areas "is currently a bit more challenging, because ancient DNA preserves better in colder areas," she noted.

How much do you know about our closest relatives? Find out with our Neanderthal quiz!

For the first time, scientists can develop computer chips with transistors smaller than 1 nanometer. The new "NanoStack" architecture that has made this possible could even one day lead to transistors as small as 0.1 nm, the scientists claimed.

The new 0.7 nm transistors are significantly smaller than those that feature in standard 2 nm semiconductor chips used in supercomputers, AI systems and advanced graphics processing units (GPUs). While size designation doesn't necessarily correlate with an exact measurement of the transistors on the chips, it does represent their general capabilities.

Essentially, the smaller the transistors and their supporting components, the more you can fit on a chip. A typical 2 nm chip design, for example, can fit roughly 50 billion transistors onto a space the size of a human fingernail.

The new chip features transistors that are so diminutive they're not measured in nanometers but "angstroms," a unit of measurement typically reserved for atoms. The first of these chips is expected to be manufactured with transistors that are a mere 7 angstroms — equivalent to 0.7 nanometers or roughly the width of a glucose molecule.

At this size, engineers can squeeze nearly 100 billion transistors into a fingernail-size space — nearly twice that of the current 2 nm platform.

Stacking and staggering

The scientists achieved this feat using a novel technique called "nanostacking," which they first outlined in a study published as part of the peer-reviewed 2025 Symposium on VLSI Technology and Circuits and uploaded July 2025 to the IEEE Xplore server. This enables engineers to vertically stack the nanosheets used to build the previous generation of 2 nm computer chips.

The technology used in all conventional circuits — known as complementary metal-oxide-semiconductor (CMOS) — demands extremely high temperatures during manufacturing. As transistors shrink, they also suffer from issues such as "charge trapping" — where electrons or holes become immobilized by defects or impurities — and "gate leakage" — static power dissipation.

Such problems have posed a challenge to attempts to shrink transistor size below 2 nm, and thus improve the performance and efficiency of computer chips beyond today's best capabilities. IBM's three-dimensional stacked architecture, however, aims to alleviate some of these pain points, the scientists said.

"NanoStack is nanosheets transistors stacking on top of each other. But it's not through a simple monolithic lithography and etch process," said Huiming Bu vice president for IBM semiconductors global R&D and Albany operations, during a press briefing.

"What happens here is we actually stack the device. I call it stacking, but also staggering. Stacking in vertical direction, so the front side of each transistor and the backside of each transistor can be contacted independently for signal and power. The stacking of these transistors are done by single dielectric bonding, which is a key innovation that we have developed."

IBM representatives added in the briefing that the new technology provides up to 50% greater performance with a 70% reduction in energy use versus the 2 nm platform — and will eventually replace this technology altogether within the next five years.

The scientists say the research could carry deep implications for the computing industry, with revolutionary impacts on the artificial intelligence (AI) and quantum computing sectors.

One of the immediate technological benefits could also lie in creating better static random access memory (SRAM) chips, which are used for a variety of computing applications, including CPU caching, networking and in devices such as pacemakers and vehicle sensors.

SRAM is also vital in AI processing because it's located close to processing cores (versus other kinds of RAM modules that are often separate components), increasing the speed of data shuttling around systems and therefore reducing bottlenecks.

IBM representatives added in the press briefing that they demonstrated a 40% improvement in the scaling of SRAM memory versus the 2 nm platform. This will be a boon to AI workflows, which demand much higher bandwidth and efficiency.

The future of computing

"We actually have entered a domain that semiconductor manufacturing is almost magic," Huiming added about the design process. "Think about the structure we are building here. We actually deposit the layer atom by atom, and we actually layer atom by atom."

IBM representatives said the nanostacking approach isn't a minor upgrade but a generational shift that will eventually enable foundries to scale these chips from 0.7 nm transistors all the way to a single angstrom or just 0.1 nm — keeping Moore's Law alive for a little longer at least.

Shrinking the transistor nodes on these chips will allow for more powerful processes, they said, thanks to a near-twice jump in the transistor count, while the stacked and staggered design significantly reduces the energy requirements. Huiming said that while everybody demands performance, nobody wants to pay the bill for the power.

"It will replace nanosheet as today's mainstream [platform] at leading foundries. Whether it's CPU or GPU," he added. "And we believe that transition will happen at around 7 angstroms. So within a decade, this will become another mainstream [platform] that we have invented. This is the next jump in technology."

The findings of the 2025 study suggest that not only can the chipset provide much-improved performance with much lower energy consumption, but it may also provide a path toward reducing the thermal impact that high-power computing has on hardware.

These innovations could also have an impact on quantum computing, IBM representatives said, as they could lead to improvements in the classical systems with which quantum computers will work together as the technology emerges.

"For quantum computing, we need to use lots of classical compute with it," Jay Gambetta, IBM's director of research, said during the press conference. "We want to build decoders, we want to build controllers for decoders and accelerators. And we are working right now on that type of classical with the 2 nm [platform]. If we can continue to change the platform, use more efficient, more powerful [chipsets], it will only help the rate and pace at which we've got to build the classical compute that goes along with the quantum."

Thousands of previously undetected tiny earthquakes have revealed the edge of a miniature tectonic plate slamming into Alaska near the Denali Fault.

The microplate could be focusing seismic energy in a straight line in a region under the Alaska Range of mountains, potentially contributing to large earthquakes and the development of small volcanoes in the area.

The Yakutat microplate is an ocean plateau that is thicker than the Pacific oceanic crust surrounding it. Formed by volcanoes tens of millions of years ago, this block of crust is now being pushed under the North American Plate in Alaska in a process called subduction. But because it is thicker and more buoyant than the surrounding oceanic crust, the microplate pushes up the Alaska Range, which includes North America's highest mountain, Mount McKinley (also known as Denali).

"Being able to identify where the Yakutat microplate is in the subsurface has helped us understand the tectonics," said Meghan Miller, the study's first author and a seismologist at the Australian National University.

Part of the plate is still off the coast of Alaska, sticking out like a slipper under a rug. But the precise location of the edge of the plate that has already subducted under the continent has been hard to pinpoint. Miller and her colleagues installed seven new seismometers south of the Denali Fault, which runs through the Alaska Range. This is a tectonically active region, most famous for a 2002 magnitude 7.9 earthquake that was felt as far away as Seattle.

But it wasn't a giant temblor like 2002's that revealed the hidden edge of the Yakutat. Instead, it was unmasked by about 3,000 newly discovered minuscule earthquakes clustered in a clean line running from northwest to southeast for 155 miles (250 kilometers) under the Denali Fault. The "very sharp, linear pattern" also aligns with a series of small volcanic cones and rock-type changes in the deep subsurface, Miller and her colleagues reported in the new study, published June 4 in the journal The Seismic Record.

The researchers suspect that the leading edge of the plate is focusing seismic energy toward the surface. The plate's location also aligns with the initiation point of the 2002 Denali quake, which started on a nearby fault, Miller told Live Science, but exploring that idea further will require computational modeling.

"What we were postulating is that the edge of the Yakutat plate is influencing all these different types of processes," Miller said.

Researchers have found a new puzzle piece in Mars' geological history that hints that the Red Planet may have once harbored life. New data from NASA's Perseverance rover indicates that mudstones in Jezero crater contain a complex form of carbon, the chemical foundation of all known life. It's the highest concentration of organic molecules found on Mars to date.

Although the mere presence of carbon isn't proof that life once evolved on Mars, the location of the discovery adds to the excitement. This "macromolecular carbon" was discovered near other potential signs of life, or biosignatures, touted by NASA with great fanfare in 2025. This geological context adds credence to the case that microbes may have once colonized the Martian surface. The results were published Wednesday (June 24) in the journal Science Advances.

Perseverance landed in Jezero crater on Feb. 18, 2021. Since then, the site has emerged as one of the most geologically interesting places on Mars. "Jezero crater was once fed water and sediment from rivers, and, billions of years ago, it hosted a lake," Ashley Murphy, a researcher at the Planetary Science Institute and co-author of the new study, told Live Science in an email.

It may have hosted more than that. A study published last year in the journal Nature found that some of the stones in an area of Jezero known as the Bright Angel outcropping contain clays and other minerals that are known to preserve fossils on Earth. One sample, in particular, raised eyebrows: a piece of a rock nicknamed Cheyava Falls, whose patterns resemble those left by terrestrial microbes. Although these patterns could have been created by nonliving sources, NASA officials proclaimed it one of the clearest signs yet of past microbial life on the Red Planet.

The backbone of life

The new research builds on this work by confirming the widespread presence of complex carbon molecules in and around the Bright Angel outcrop. In the study, the researchers used the rover's Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals (SHERLOC) instrument to map the carbon distribution in these rocks and sediments. They compared them with carbon data from NASA's Curiosity rover taken at Gale crater some 2,300 miles (3,700 kilometers) away, a distribution that suggests water may have been widespread on Mars in the deep past.

Murphy's team also determined that the carbon was not too weathered, indicating that it may have been exposed recently. However, it’s impossible to say whether the newly discovered carbon is related to life or not.

The work is an important step in unraveling Mars' geological history, including the planet's potential habitability and how water shaped its surface. But Murphy cautioned that it is far from a definitive answer.

"Macromolecular carbon on Mars does not prove the existence of life there," Murphy said. The molecules could indicate the presence of fossilized microbes, but they also could have formed through nonbiological means, like meteor strikes or running water.

Until scientists get their hands on a sample directly, it will be hard to tell exactly how this complex carbon arose and whether it represents a true biosignature. But that research may now be decades away — if it happens at all.

The Cheyava Falls sample was originally supposed to be brought to Earth in the 2030s as part of NASA and the European Space Agency's joint Mars Sample Return program. However, in its 2026 budget proposal, the Trump administration deemed the mission "financially unsustainable" and proposed slashing the project. Currently, the project is considered dead.

It may be China that gets the first shot at bringing Martian samples back to Earth for analysis. The country's Tianwen-3 sample-return mission will aim to collect several samples — albeit in a more accessible but less-promising site than where Perseverance has looked for biosignatures — in a mission due to launch no sooner than 2028.

What do you know about the Red Planet? Test your knowledge with our Mars quiz!

Researchers have demonstrated that a computer worm powered by artificial intelligence (AI) can autonomously spread across a network by identifying and exploiting vulnerabilities on different devices, raising fresh concerns about how the technology could change the future of cyberattacks.

The proof-of-concept malware, developed by researchers at the University of Toronto and cybersecurity firm CleverHans, combines a locally running large language model (LLM) with an autonomous software agent that can scan networks, assess potential attack paths, and decide how to compromise new targets without human intervention. The researchers say the work shows how AI could enable malware to adapt to unfamiliar environments rather than relying on a single preprogrammed exploit.

In experiments described in a new study uploaded June 2 to the arXiv preprint server, the worm was tested against a simulated corporate network containing 33 hosts, including Linux servers, Windows workstation computers and other internet-connected (IoT) devices. The researchers found that the system identified vulnerabilities, compromised new machines, and replicated itself across roughly 62% of the network over the course of a week.

"The main finding is that this type of system can do more than run a fixed exploit; it can examine the target environment, reason about possible vulnerabilities, use tools to attempt attacks, and then replicate itself after a successful compromise," Michael Agee, an adjunct professor of information technology at Trinity Washington University in Washington, D.C., who was not involved in the research, told Live Science.

How does the AI worm work?

The setup was relatively straightforward. The researchers took an open-weight LLM (for which training data is publicly available) running on local hardware and connected it to a software framework that could scan networks, collect information about target systems, and carry out attacks. The AI's role was to interpret what it found and decide where to go next.

"The AI-driven part of the attack is mainly the reasoning and decision-making," Agee said. "The LLM is not magically hacking the system; it is being used to reason about what the information means, suggest possible attack strategies, decide which tool or action should be tried next, and help adjust the approach when something fails."

In other words, the worm isn't inventing new ways to break into systems. Instead, it's taking information about a machine, matching it against known vulnerabilities and weaknesses, and deciding which avenue is most likely to succeed.

Bob Hutchins, who teaches AI strategy courses at Lipscomb University in Nashville, Tennessee, said the innovation lies in the system's ability to adapt.

"Traditional worms follow a scripted sequence: Once a vulnerability is identified, the worm replicates," Hutchins told Live Science. "In contrast, the researchers demonstrated that an easily downloaded AI model could be used as the decision-making component of the worm. The worm would analyze each device it encountered to determine its most effective strategy to breach that particular system."

"Intelligence does not exist in discovering new vulnerabilities; rather, intelligence exists in determining how quickly an attacker can choose and sequence attacks against previously identified vulnerabilities," he added.

What makes this AI worm different from conventional malware?

The researchers also designed the worm to work across devices with different levels of computing power. More capable compromised machines equipped with graphics processing units (GPUs) could provide reasoning services for lightweight agents running on less-powerful devices elsewhere on the network.

"What made it particularly dangerous was a clever tiered design," Tom Vazdar, a professor of AI and cybersecurity at the Open Institute of Technology, told Live Science. "GPU-equipped compromised machines provided reasoning capacity for lightweight agents running on low-power IoT devices that couldn't run an AI model locally. A camera becomes a thinking node in the attack network, not just another door."

The research, which has not been peer-reviewed yet, was published as governments, security experts and AI companies continue to debate whether generative AI will make sophisticated cyberattacks easier to carry out. One reason the study has attracted attention is that the researchers did not rely on a frontier model from a major AI company, like OpenAI's ChatGPT or Anthropic's Claude. Instead, they used a much smaller open-weight model that can be downloaded and run offline on normal computers.

"The researchers employed lightweight open-weight models during their demonstration, which are relatively easy to download, remove guardrail components from, and utilize," Hutchins told Live Science. "By using these types of models, the researchers challenged a long-standing assumption that only advanced/edge-type models present risks related to misuse."

Vazdar argued that the work highlights how attackers could increasingly automate tasks that currently require skilled human operators, telling Live Science, "The attacker's marginal cost drops to essentially zero. And you can't patch your way out of it, because it doesn't rely on a single vulnerability class. It reasons. Patch one hole, and it finds another."

Could attackers use this AI worm in the real world?

Not all experts agree with that assessment, however. Although researchers described the system as capable of targeting a wide range of devices, some cautioned that the demonstration took place in a highly controlled environment designed to showcase the concept.

"This is at best a lab-based proof of concept in a target-rich test environment," Agee said. The test network contained many intentionally vulnerable systems and lacked active endpoint defenses. "The paper shows that the approach is possible, not necessarily that this attack would work reliably in a normally, or even minimally, defended enterprise network," he added.

The worm also generated activity that security teams could potentially detect, he noted, including network scanning, repeated exploitation attempts and privilege-escalation behavior.

"Even a basic monitoring setup could flag some of that behavior," Agee said.

Hutchins likewise warned against overstating the findings. "'Could potentially target almost any device' is technically correct and emotionally misleading," he said. "Any internet-connected device running vulnerable versions of software is theoretically susceptible to being exploited via a similar mechanism. This has been a truism of malicious code for decades."

Organizations can still defend themselves by using many of the same measures recommended against conventional cyberattacks, Hutchins added, including prompt patching, strong passwords and multifactor authentication (using multiple forms of identification to log in to systems, like a password sent via text message on top of your password).

Even so, experts broadly agree that the study could mark a shift in how malware could operate in the future. Rather than relying on fixed instructions written by human attackers, future malicious software may be able to make many tactical decisions on its own.

"The attack is important because it shows that an LLM-based agent can reason through different targets and adapt its approach," Agee said.

For Hutchins, the study ultimately represents exactly the kind of work academic researchers should be doing. The study authors "are performing precisely what academia should perform ‪—‬ researching a legitimate threat within a controlled environment before malicious actors begin building it outside of that controlled environment," he said.

Whether attackers adopt similar techniques remains to be seen. What the researchers have shown is that a relatively small AI model can already play a meaningful role in planning and directing a cyberattack.

For half a century, scientists have known that Earth's Northern and Southern hemispheres have almost the exact same albedo ‪— the amount of sunlight they reflect back to space. This is true even though the two hemispheres look very different, with the Northern Hemisphere having more land and the Southern Hemisphere having more ocean.

Now, researchers have uncovered another surprising symmetry hiding in the data: Earth's Eastern and Western halves appear to reflect the same amount of sunlight as well, they reported in a study published June 3 in the journal Nature. They found that the dividing line lies along a great circle that wraps around the whole planet. It's made up of two longitude lines: the 27 degrees east and 153 degrees west meridians, which stretch from the North to South Pole through Eastern Europe, Turkey, Central Africa, Norway and Alaska.

"Given that the Earth is approximately spherical, it is unsurprising that one can divide it into two non-overlapping hemispheres that reflect equal amounts of sunlight," the authors write in the paper. But what is surprising, they write, is how closely matched they are. The probability of the hemispheres naturally reflecting sunlight within 0.01 watts per square meter of each other is less than 3%.

If the symmetry is a fundamental part of Earth’s climate, this finding could help scientists test and possibly improve global climate models to predict future warming.

Secret symmetry

While the exact mechanism for the northern and southern symmetry has evaded scientists for decades, the study authors said they may have identified a reason behind their discovery.

Since the dawn of the space race in the late 1950s, scientists have wanted to figure out Earth's albedo. "That was a really burning question back then," Norman Loeb, an atmospheric scientist who leads NASA's Clouds and the Earth's Radiant Energy System (CERES) project who wasn't involved in the new study, told Live Science. And around a half century ago, they figured it out with satellite imagery.

Earth's planetary albedo is about 29%, according to the study. This means that about 0.29 of the solar radiation that hits Earth is reflected back into space. In contrast, a perfect mirror would have an albedo of 1, as it would reflect back 100% of the light that hit it.

Other analyses showed that the Northern Hemisphere's albedo was the same as the Southern Hemisphere's, although recent research co-authored by Loeb suggests that the Northern Hemisphere is now absorbing more light than the Southern, likely because of melting snow and ice, declining air pollution, and rising water vapor.

This newfound imbalance aside, Zhang, a researcher at the Cooperative Institute for Research in Environmental Sciences at the University of Colorado Boulder, and colleagues wondered if other symmetry pairs had been overlooked or if they were considered too trivial to investigate, Zhang wrote in a blog.

To identify the symmetry, Zhang and his colleagues analyzed 25 years of satellite observations from 2001 to 2025 collected by the CERES program, which uses satellites to measure Earth’s energy budget. Instruments on these satellites measure how much reflected sunlight bounces back into space, as well as how much heat is emitted from Earth

Earth's albedo is shaped by many factors; clouds, oceans, snow, ice and land each reflect a different amount of sunlight. This reflection influences Earth's climate, so understanding it is key to an accurate understanding of climate in the future.

After running the first analysis, Zhang wrote he was both "absolutely amazed" and skeptical at what he saw, but three features stood out.

First the symmetry is unique to the meridian at 27 east longitude. If you shift the line to any other longitude, the symmetry disappears. Second, it's consistent across a 25-year dataset. Lastly, there is "triple symmetry": The two hemispheres contain similar proportions of ice-free ocean, experience similar cloud effects, and reflect similar amounts of sunlight under clear skies.

El Niño connection

Zhang and his authors hypothesize the East-West symmetry is tied to the El Niño-Southern Oscillation (ENSO), a recurring climate pattern that shifts ocean temperatures and weather around the globe. When they examined the slight changes in the exact longitude of this symmetry, they found correlation with the ENSO record.

In the tropics, a giant loop of air called the Walker circulation acts like a big conveyor belt. Warm, moist air rises in the West, travels eastward high in the atmosphere, and then cools and sinks, before blowing back westward at the surface. This circulation acts as the albedo adjustment mechanism, according to the study.

The Walker circulation helps drive the difference between El Niño and La Niña, recurring climate patterns, based on weaker or stronger Pacific trade winds, respectively.

During La Niña years, the circulation is stronger, causing warmer water and so the Eastern Hemisphere has more clouds, and thus reflects slightly more sunlight. During El Niño, the circulation weakens, warm water spreads across the Pacific and so the Western Hemisphere reflects more. Over many years, the swings average out, helping to keep the long-term east-west symmetry centered near 27 degrees east.

"Nature throws surprises at us, so this is a curious surprise that this one longitude seems to divide the globe up very symmetrically," Loeb said. "It's really interesting that there's this single point longitude at 27 degrees."

Since the models are designed to simulate Earth's interactions among the atmosphere, oceans, lands, crust and other parts, the new symmetry offers another way to test if current climate models are accurate. "I think the short-term benefit of this type of discovery is that it's a further test of climate models," Loeb noted.

But when the scientists tested how the current models predicted new symmetry, "the models didn't do very well," Loeb said. "They didn't produce this East-West symmetry." This problem may be "contributing to the persistent uncertainty in climate projections," according to the study.

How much do you know about our blue planet? Test your terran knowledge with our Earth quiz!

For years, scientists have suspected that, at the molecular level, water is two different liquids ‪—‬ a denser one and a less-dense one ‪—‬ that are constantly switching places. Catching real molecular evidence of this microscopic transformation has been hard. But now, with help from artificial intelligence, researchers say they've finally found it.

"It's hard to imagine — here is just one water, right?" said Xiao Cheng Zeng, a physical chemist at the City University of Hong Kong and co-author of the new study, told Live Science while holding a water bottle in the air. That puzzle sent him digging through scientific literature, where he found the possible explanation: the two-state hypothesis. "That got my attention. We have literature to talk about it but no evidence."

The findings, published June 4 in the journal Nature Physics, could not only prove this long-sought molecular change is real, but also help to explain dozens of water's weird behaviors.

Most liquids become denser as they cool, but water behaves differently; it becomes denser until about 4 degrees Celsius, then starts to expand, which is why ice floats. Water also resists temperature changes better than similar liquids and has a viscosity that decreases under certain pressures. Scientists have documented various anomalies related to water and suspect they may be interconnected.

The two-state model is an attempt to be that unifying explanation.

A 30-year hunch

Zeng has been studying water since his postdoc days in the late 1990s, when he worked on liquid freezing. The two-state hypothesis itself came onto his radar later — around 2006, when he first encountered it at scientific conferences. But for years, he set it aside as too difficult to tackle directly. That changed roughly around 2016, as researchers began reporting experimental evidence that supercooled water could split into distinct high-density and low-density forms.

Around two and a half years ago, Zeng handed the problem to Liwen Li, a postdoctoral researcher in his lab. Rather than repeating the conventional approaches other groups had already struggled with, Li suggested the use of "unsupervised deep learning" — AI trained to spot patterns in data without being told what to look for.

"So AI [is] forced to learn — to use [its] knowledge to create, to explore," Zeng told Live Science.

The team ran massive molecular dynamics simulations, using the GROMACS simulation package. They tracked how hundreds of thousands of water molecules moved and interacted and generated tens of millions of data points.

"Traditionally, you may need a lot of students to figure that out. ... With computers and AI, it took [Li] maybe a year and a half," Zeng said. Without AI, he estimated, the same analysis might have taken closer to a decade.

The AI came back with "reaction coordinates" — a small number of variables, distilled out of all that molecular motion, that describe exactly how a water molecule's local arrangement shifts from the denser structure to the looser one and back. They plotted the system's behavior along those coordinates to see the shape of the conversion. That included the number and location of energy barriers, or saddle points, that molecules have to cross to make the switch.

Two paths up the mountain

The team found that the path the two structures take to convert into each other changes depending on certain conditions. Most of the time, the switch happens along what the researchers call a "semi-loop" pathway, with a single energy barrier to cross.

But near the boundary between high-density and low-density water — the same kind of threshold where ice and liquid water coexist at 32 degrees Fahrenheit (zero degrees Celsius) — the molecules can take a more roundabout "full-loop" path, with three separate barriers instead of one.

Zeng compared it to hiking a mountain that's been sliced in half, with a gentle slope on one side and a sheer cliff on the other. Most hikers stick to the slope; that's the semi-loop. But near the boundary where the two halves meet, it's as if the mountain were becoming whole again, letting hikers circle the entire peak. That's the full loop.

Zeng and his team are now building a more rigorous machine-learning model to confirm the result. They hope to eventually connect it to properties like density, viscosity and temperature.

Confirming the structure in real water won't be simple. Zeng said it will likely require new and sensitive experimental techniques — the kind developed by labs like Pacific Northwest National Laboratory, which previously found indirect spectroscopic evidence for water's two-state behavior.

"Once we have this ... confirmed by experiment," he said, "this model can be used to [understand] how water interacts with nature."

Since most biological and pharmaceutical processes happen in water, a better understanding of water's molecular structure could shed light on how dissolved salts, proteins, and drug molecules interact in solution. "These interactions are vital for injectable drugs and cell function," he noted, but applying this knowledge to practical uses is still a long way off.

China's Einstein Probe has spotted a cosmic explosion from a mysterious source that's unlike anything seen before.

The burst was made up of two X-ray flares, about 200 seconds apart, that likely came from the same object. Their behavior is most consistent with powerful cosmic explosions known as gamma ray bursts — except no gamma rays were detected, scientists reported June 13 in the Monthly Notices of the Royal Astronomical Society.

Launched into low Earth orbit in 2024 by the Chinese Academy of Sciences in collaboration with the European Space Agency, the Einstein Probe is designed to scan the sky for high-energy X-ray emission events. Those events are usually short-lived, but scientists can use the data to perform detailed follow-up studies with other instruments. The Einstein Probe orbits Earth every 96 minutes and can scan almost the entire night sky about every five hours.

On March 5, 2024, the probe captured one such event, called an X-ray transient, from a celestial object scientists named EP240305a. The first flare lasted about two minutes. Roughly 200 seconds later, the probe detected a second flare lasting just over 4 minutes.

In the new study, researchers directed several ground- and space-based telescopes toward the area to collect data at X-ray, infrared, optical and radio wavelengths over the weeks that followed. They found that, following the initial burst, the X-rays faded after a few days, while radio emissions slowly petered out over several weeks.

To predict what kind of object could emit these bursts, the team compared their data to the expected emissions from several types of X-ray transients. None matched the emission patterns from EP240305a.

For example, tidal disruption events, which occur when a supermassive black hole rips apart a passing star, emit light for months or years, while radio emissions from stellar flares fade after a few hours. And other types of X-ray bursts that occur on similar timescales to EP240305a emit no radio signals at all.

The most similar type of event that matches EP240305a’s behavior is a gamma ray burst (GRB), the team found. Gamma ray bursts can occur when massive stars die or collide. But without detecting any gamma rays directly, the team can’t yet say that this was the signal's origin.

"In the case of EP240305a, the current data do not allow us to firmly establish a GRB origin, and we therefore conservatively classify it as a gamma-ray-dark GRB-like transient or more broadly an extragalactic fast X-ray transient," the researchers wrote in the study.

If the signal was due to a gamma ray burst, the jet of gamma rays may have been pointed away from Earth, or it may have been surrounded by material that hid or reduced the gamma radiation emitted.

Collecting data on this and other unusual X-ray transients could help scientists figure out what causes them, the team wrote in the study.

For the first time, archaeologists have analyzed the genetic material of Homo naledi, a mysterious 300,000-year-old relative of modern humans discovered deep in a South African cave system. What they found is unique in human evolution studies: Every skeleton known from the species is female.

"I think it is fair to say that they surprised us," Lee Berger, a National Geographic explorer-in-residence, told Live Science in an email, but H. naledi "has always been an enigmatic discovery."

Since 2013, Berger has headed the Rising Star project, which discovered nearly two dozen skeletons of small-brained, two-legged creatures, which the research team named H. naledi, within a cave system in South Africa's Cradle of Humankind.

Research over the past decade has revealed that H. naledi was unusual for having a small brain and upper body, similar to earlier australopithecines like Lucy, but a face, hands and lower limbs that were more human-like. In 2023, the Rising Star team suggested H. naledi may have used fire in the cave, and in 2025, they advanced the controversial claim that H. naledi buried their dead — a complex behavior unexpected for a human relative with such a small brain.

But a new study of H. naledi teeth published Wednesday (June 24) in the journal Cell may bolster the team's interpretation of the Rising Star cave as a burial site.

An international team of experts studied 20 teeth from H. naledi skeletons using proteomic analysis, a minimally destructive technique that sequences genetic material from ancient proteins. Proteomics is a burgeoning field, especially because these proteins can last longer than DNA. The team focused on amelogenin genes (AMEL), which code for proteins in dental enamel and vary by sex. While the gene variant called AMELX is found in both males and females, another one, AMELY, is found only in biological males.

In analyzing the H. naledi teeth, the team found no AMELY proteins but plenty of AMELX ones, suggesting that all of the skeletons were from females. These included the nearly complete skeletons of Neo and DH1, the main representative of the species, both originally assumed to be male.

The result is surprising because there are no known ancient human cemeteries or collections of nonhuman primate skeletons that contain only females.

"The most likely reason for these robust results are, in my opinion, cultural selection after death for burial by sex and perhaps gender," Berger said. "There are many past human societies with sex-specific burial practices," study co-author John Hawks, a paleoanthropologist at the University of Wisconsin-Madison, said in a statement, but the H. naledi skeletons "are older than any known Neanderthal or modern human burial site, and it's remarkable to see that they may all be female."

"An already weird hominin"

The discovery that everything we know about H. naledi comes from female skeletons has surprised paleoanthropologists.

"The bottom line is this is a weird result from an already weird hominin," Elizabeth Sawchuk, curator of human evolution at the Cleveland Museum of Natural History, who was not involved in the study, told Live Science in an email. "The key thing to remember is that failure to detect evidence of AMELY does not mean there are no males in the sample — it just means that none were detected."

One possible reason for the lack of this gene in H. naledi skeletons is an AMELY gene deletion that is known to occur very rarely in some modern-human populations and that has been found in one Neanderthal male. If the AMELY gene doesn't exist in this H. naledi group, then the protein profiles of males would look identical to the profiles of females.

However, "it's very unlikely that this would be the case among even half of the 20 individuals we studied or for an entire population," study co-author Enrico Cappellini, a paleoproteomics professor at the University of Copenhagen in Denmark, said in the statement. "Either scenario, namely the absence of H. naledi males in the Rising Star cave system or a systematic deletion of their AMELY gene, is fascinating and would have deep implications for a better understanding of the biology and evolution of this species."

Studies of H. naledi, a species known from a single site, "continue to yield more questions than answers," Sawchuk said. "As the authors point out, this is a surprising result that requires more investigation."

Other hominins in South Africa

A second surprising result in the proteomic analysis was that H. naledi shares a gene variant with Paranthropus robustus, a human relative with a massive face and teeth that lived in South Africa around 1 million to 2 million years ago.

Proteomic analysis of four P. robustus skeletons in 2025 proved that limited genetic material could be recovered from ancient human relatives in Africa. The new study has revealed that some members of this species and H. naledi shared a gene variant related to collagen production, which is different from the genes found in modern humans, Neanderthals and Denisovans.

While H. naledi and P. robustus inhabited the same general geographic area, it is unclear if they lived there at the same time and overlapped or if they may have had an ancestor-descendant relationship.

"It is early days for sampling fossil hominins with ancient proteins, and until we build a better, bigger sample, we just don't know" what the shared genetic variant means, Berger said.

Building a larger database of ancient proteins from other human relatives that evolved in Africa, such as Australopithecus africanus and Homo erectus, may clarify where H. naledi fits into the picture of human evolution.

"Key data are missing from H. erectus and A. africanus that would help put this evidence into context," Sawchuk said. "For now, this is another curious finding that bears further investigation."

What does sex change?

In 2015, Berger and colleagues named the new hominin H. naledi and described what they presumed to be male and female variants of the species based on the skeletons' sizes. In many groups of human relatives and in modern humans, males are physically larger than females, on average. This assumption led the researchers to classify the presumed male individual DH1, discovered in the Dinaledi chamber of the cave, as the main representative of the new species.

But a 2024 study was the first to question the assumption that the H. naledi skeletons came from two sexes. In that study, researchers found variation in the teeth of H. naledi that was "so low that the possibility that one sex is represented by few or no individuals in the sample cannot be excluded," they wrote.

"Our study helps resolve the long-standing mystery of why Homo naledi lacked significant variation," study first author Palesa Madupe, a researcher at the Max Planck Institute for Evolutionary Anthropology in Germany, said in the statement. "It's probably because they could have all belonged to one sex."

If the proteomic sex analysis is correct and H. naledi does not have AMELY deletion issues, it means everything we know about the species comes from females. But this doesn't mean interpretations of the species are wrong.

"The only thing that has changed is that we have never seen a male!" Berger said. "When and if we do, we will have to extend the description to include male sex characters and the likely extension of certain aspects of variation."

The researchers hope their study paves the way for more proteomic analyses of human relatives in the future.

The new analysis proves that protein analysis of fossils from the Pleistocene (2.58 million years ago to 11,700 years ago) can be done in a minimally destructive way, Madupe said. "This means potentially opening the door to a whole new way of sustainably investigating the differences between sexes in groups of extinct hominins and other animals without causing visible damage to these priceless fossils."

What do you know about early humans? Test your knowledge with our human origins quiz!

An isolated population of sperm whales in the Mediterranean Sea are splitting into two distinct groups with different dialects, a new study reveals. This shift has likely been happening for thousands of years, as two groups split from an initial single population.

The findings, published Tuesday (June 23) in the journal Proceedings of the Royal Society B: Biological Sciences, are providing a rare insight into the process of different dialects emerging among non-human species.

The sperm whales (Physeter macrocephalus) live in small social units of females and young, and they associate with other groups in the same area. They use social vocalizations called codas ‪—‬ shortpatterns of clicks ‪—‬ to communicate. The particular codas they use identify them as being part of the same cultural group.

Taylor Hersh, a researcher in the School of Biological Sciences at the University of Bristol in the U.K. and first author of the research, and her colleagues have analyzed codas recorded over almost 20 years in the Mediterranean, where there is a unique population of a few thousand sperm whales, to see if they all use the same dialect.

Sperm whales entered the Mediterranean via the Strait of Gibraltar about 20,000 years ago, and they have spread throughout the area. The whales rarely leave the sea ‪—‬ even males, which normally migrate. Other sperm whales don't seem to enter often, either, so the Mediterranean ones are effectively isolated from other populations and are considered an endangered subpopulation.

"The sperm whales in the Mediterranean are really cool," Hersh told Live Science. "I've always thought of them as the weirdos of the sperm whale world in that they don't leave through the Strait of Gibraltar even though they could. They are unique, and for a long time, they were also thought to be acoustically unique."

The thinking was that all the sperm whales in the Mediterranean belonged to the same clan, identified by their use of a single coda 90% of the time. This coda consists of three clicks and then a pause before the fourth and final click ‪—‬ a pattern called the three-plus-one type.

But the analysis by Hersh's team of 5,291 codas recorded between 2003 and 2021 revealed that sperm whales living in the eastern Mediterranean around the Hellenic Trench, off Greece, have a slightly different dialect from that used by animals in the western basin around Spain's Balearic Islands.

The eastern whales produce a distinct form of the three-plus-one coda. "It's a very similar pattern of clicks, but it's much, much faster," Hersh said.

In some recordings, whales in the eastern Mediterranean produced the slower coda, showing they were familiar with both dialects.

"The western sperm whales religiously stick to their dialect, but there were four instances of eastern whales using the western dialect," Hersh said. "The question of why is still an open one. Their dialect seems to be a lot more diverse than we expected. They do occasionally make those slow three-plus-one codas, but they make a lot of other coda types, too."

Hersh hopes further recordings alongside records that tie individual whales to sounds and events might help elucidate why the whales switch between dialects.

"It's exciting to see this study showing different populations behaving closely, but also differently," said Gašper Beguš, linguistics lead at Project CETI, a nonprofit organization that aims to translate the communication of sperm whales.

The study paints a picture of sperm whales progressively occupying the Mediterranean from west to east, with the dialect of one group gradually changing. "The groups in the east clearly remember the western dialect because they have these 'throwback' days," Hersh said.

It's still a mystery how and why these dialects evolved.

"Every speech is a dialect; the question is how did they arise and why?" said Beguš, who wasn't involved in the new study. He said the historical change in habitat does help to show which dialect came first. "In the Mediterranean, maybe they're forming different groups, so that's why they're trying to distinguish themselves," he told Live Science, giving the parallel of young people who distinguish themselves from previous generations by coming up with new slang.

"It's possible that these two groups with repertoires that are very similar but still distinctive could represent a sort of midway phase,” Ellen Jacobs, a marine biologist at Aarhus University in Denmark who wasn't involved in the research, told Live Science via email.

"Changes in the rhythm might be a very feasible and meaningful way for coda signals to start to diverge," she said, like the way the English words "How do you do?" got mashed together until they morphed into "howdy."

The timescale on which a sperm whale dialect develops is uncertain, but it's likely a slow process, according to Hersh. "It's probably happening on the scale of hundreds and thousands of years, because sperm whales can live into their 60s and 70s. And this study is looking over 19 years of data, and that's just a snapshot of one animal's life," Hersh said.

This means the eastern whale dialect was conceivably emerging in the Mediterranean Sea as famous human civilizations were speaking different languages on the surrounding lands, including when the ancient Greeks and Romans were rising and then falling.

"Maybe if we could leave them for another 10,000 years, we would come back to find the completely separated dialects of clans," Jacobs said.

The patient: A 61-year-old man in Japan

The symptoms: The man visited a hospital because two months earlier, some foods and beverages began to taste extremely unpleasant to him. Over time, more foods had become difficult for him to stomach. Sour and salty flavors were the first to trigger disgust. Oily foods were next, followed by fresh vegetables, cold water and juice, warm water and, finally, sweets.

The man ate less due to the taste aversions, and he unintentionally lost a few pounds. He told doctors at the hospital that he felt lethargic, they wrote in a report of the case.

What happened next: The patient, who was a physician himself, reported that eight years ago, he had been diagnosed with bipolar disorder. For the prior three years, he had been managing the condition with lithium, a mood stabilizer commonly used to treat bipolar disorder.

He was taking a prescribed dosage of 800 milligrams per day and historically hadn't had any unusual side effects. (This is slightly higher than the typical dose recommended for chronic management of bipolar disorder, but that said, doctors may tweak patients' doses based on their individual needs.)

The diagnosis: Doctors performed bloodwork and found that the level of lithium in the patient's blood was 1.28 milliequivalents per liter (mEq/L). Safe levels of lithium are between 0.6 and 1.2 mEq/L; any higher than that can cause a condition called lithium toxicity, which can be fatal if untreated.

When the doctors checked the man's medical records, they found that prior to the onset of his symptoms, the levels of lithium in his blood were between 0.4 and 0.9 mEq/L. In the report, the authors did not investigate the cause of the toxicity, nor did they hypothesize as to why lithium was accumulating in the patient's blood.

The treatment: The doctors told the man to stop taking lithium, and they instead prescribed another mood-stabilizing drug, called valproate. As the lithium levels in his blood dropped, the patient's energy returned and the foods and beverages that previously disgusted him recovered their normal flavors. Notably, this happened in the reverse order that their flavors had changed.

At a follow-up visit one year later, the man was still taking valproate and his symptoms of fatigue and taste changes had not returned.

What makes the case unique: Although they're uncommon, side effects of lithium use can include confusion, increased thirst, frequent urination, irregular or slow heartbeat, tiredness and weight gain. Rarer side effects include dizziness, headaches, vision problems and heat loss in the arms and legs. Lithium toxicity, also known as lithium intoxication, is known to increase the risk of these adverse symptoms.

Changes in a patient's sense of taste while taking lithium have been recorded in just a handful of reports dating to the 1970s and 1980s. One patient lost the ability to taste salt, while another "noticed a strange and unpleasant taste associated with butter and celery."

Nevertheless, "it has not been generally known that lithium can lose or change taste in some patients," the case report authors wrote. Based on their findings, they suggested that in the future, taste loss or changes in taste perception should be flagged as a potential indicator of mild lithium intoxication.

This article is for informational purposes only and is not meant to offer medical advice.

A deep-space telescope on a grand mission to make the largest-ever 3D map of the universe just peered into the star-filled heart of the Milky Way. In the new observations, shared Wednesday (June 24), the Euclid space telescope imaged the center of the Milky Way in extraordinary detail, showing off more than 60 million stars crowded in the galaxy's center.

The shiny new image from the European Space Agency (ESA) spacecraft will help astronomers confirm newfound exoplanets and use changes in starlight to measure those planets' masses as they orbit their parent stars, according to ESA scientists.

The image was taken in 26 cumulative hours in March 2025, across nine pointings of the telescope's visible-light camera toward the galaxy's center, also called the galactic bulge. Each viewpoint captured a slice of sky larger than the full moon. In a statement, ESA praised the performance of Euclid under challenging conditions.

"Designed to observe billions of faraway galaxies, the space telescope's visible-light camera is sensitive enough to tell apart individual stars in our super-crowded galactic bulge, without being blinded," agency officials wrote.

The mosaic image will help NASA's Nancy Grace Roman Telescope with its upcoming planet-hunting mission, after that observatory launches aboard a SpaceX Falcon Heavy rocket from NASA's Kennedy Space Center in Florida no earlier than Aug. 30.

One way the Roman telescope will search for new worlds is through microlensing, the same technique that can be used to examine exoplanets in the new Euclid image. Microlensing happens when one star passes in front of another from the perspective of an observer. The gravity of the closer-up star briefly bends and magnifies the light of the star behind it, allowing possibly unseen planets to pop up near that star.

"During the last 20 years, almost 300 exoplanets have been discovered using this technique, all with ground-based telescopes and all towards the centre of our galaxy," Jean-Philippe Beaulieu, who initiated the Euclid galactic bulge survey and co-led the Euclid Consortium's exoplanet working group, said in the ESA statement.

"This image from Euclid includes 51 known planetary systems ‪—‬ and it will assist in studying many more that will be found," added Beaulieu, who holds positions at the Paris Institute of Astrophysics and the University of Tasmania in Australia.

A cosmic time capsule

Euclid's observing window was too short to find a microlensing event, which requires more than 20 days of examining one star to watch for a planet's orbit and associated changes in the star's light. But Euclid's work did allow astronomers to measure already-known planets. And once newer planets are confirmed by other telescopes, the image will let astronomers look back to confirm those newfound worlds' masses.

"In 24 hours, Euclid has already captured the stars involved in all the future microlensing events that the Roman space telescope will detect, but before the stars and planets involved have aligned," Natalia Rektsini, a postdoctoral fellow at the Paris Institute of Astrophysics who led the release of Euclid's galactic bulge survey data, explained in the statement.

"Anyone who detects a microlensing event in the same region, for example with Roman, will be able from now on to use Euclid data as a time reference in the past and see how the stars looked before they overlapped," she added. "Since Euclid can clearly separate individual stars, one can then measure how fast they move over time, and use that information to confirm the existence of a planet and determine its mass. This would not be possible with data from one point in time."

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Earth's oldest known impact crater formed when a meteorite slammed into what is now Australia about 3 billion years ago ‪—‬ 470 million years later than scientists previously claimed, a new study suggests.

The impact crater, known as the North Pole Dome crater, is located in Western Australia's Pilbara region, which is home to some of the planet's oldest rocks. It remains a record-breaking structure, beating the world's next-oldest known meteorite impact crater — the Yarrabubba impact structure, also in Western Australia — by roughly 800 million years.

"While the site had previously been identified as an ancient impact structure, its exact age remained uncertain," study first author Chris Kirkland, a professor in the School of Earth and Planetary Sciences at Curtin University in Australia, said in a statement. "The impact left a 'mineral clock' behind. By dating minerals that were remade or newly grown in the damaged rocks, we can now pin down when this extraordinary event happened."

In a study published last year, Kirkland and his colleagues said they had "unequivocal evidence" that the North Pole Dome crater was 3.47 billion years old, based on an analysis of cone-shaped chunks of rock known as "shatter cones" that form when the shock waves from a meteorite impact propagate downward.

However, a study published four months later in the journal Science Advances called the other team's results "inaccurate," arguing that the impact occurred no earlier than 2.7 billion years ago.

For the new study, Kirkland and his colleagues used advanced mineral dating techniques to estimate the ages of zircon, apatite, calcite and muscovite in shatter cones from the North Pole Dome crater. The researchers analyzed two samples of shatter-cone-bearing rocks, as well as a shocked quartz vein — a sheet-like deposit that typically forms when superhot, mineral-rich water circulates in the cracks between shocked rocks.

"The key evidence comes from zircon, a tiny but extraordinarily resilient mineral that can keep geological time for billions of years," Kirkland said. "Some zircons at North Pole Dome have unusual branching, skeletal shapes. We interpret these as impact-modified crystals, formed when older zircon was disrupted, partly recrystallised, and in places regrown during the intense heating caused by the impact."

The age recorded in zircon was the same as that locked inside apatite minerals, giving the researchers confidence that the impact occurred a little more than 3 billion years ago. The younger shatter cones in the Science Advances study may have formed subsequently due to tectonic and thermal activity, the team wrote in the new paper, which was published Tuesday (June 23) in the journal Geology.

"Ancient impact craters are incredibly difficult to date because over billions of years, rocks are altered by heat, pressure and fluids, which can obscure or reset the original impact signals," Kirkland said. "The new age places the North Pole Dome structure as Earth's oldest known impact crater and the only recognised example from the Archean eon [4 billion to 2.5 billion years ago], a time when the planet's earliest continents were forming."

Planet Earth quiz: What do you know about our planet's most amazing features?

Using drugs to induce a hypothermia-like state may slow stroke-related brain damage, according to a new study involving lab animals and human patients.

The study used two existing drugs: the antipsychotic chlorpromazine and the sedative promethazine, called "C+P" when they're used together. This drug combo induced hypothermia and protected brain tissue in mouse and monkey models of stroke.

Additionally, an infusion of C+P was safe in an early trial including 32 human stroke patients, causing no notable side effects. However, no significant improvements in stroke outcomes were reported in a paper describing the results, which was published June 17 in the journal Science Translational Medicine.

More research is needed to determine what benefits C+P treatment may offer stroke patients. But the research sheds new light on the metabolic dynamics believed to be responsible for hypothermia's therapeutic effects, said Dr. Eric Landsness, an assistant professor of neurology at the Washington University School of Medicine in St. Louis who was not involved in the work.

"What's exciting about this study is that it's clear that it's not just the hypothermia, but it's the hypometabolism," said Landsness, who reviewed the paper before it was published.

Brain freeze?

The researchers tested C+P as a therapy for acute ischemic stroke, in which blood flow to the brain is blocked. Ischemic strokes are the most common form of stroke, accounting for over 85% of cases; "acute ischemic stroke" specifically refers to the medical emergency brought about by a sudden loss of blood flow to the brain and corresponding loss of neurologic function.

When blood flow is restored through a therapy called reperfusion treatment, "you can get significant injury from a lot of processes that were set in motion during the ischemia," said Dr. Patrick Lyden, a professor of physiology and neuroscience, neurology, and neurosurgery at the University of Southern California Keck School of Medicine who was not involved in the study.

To protect brain tissue from this double whammy of ischemia and reperfusion injury, some researchers have tried to harness hypothermia, which is "one of the most powerful ways of protecting the brain that we've ever studied in lab animals," Lyden told Live Science. "It's the standard by which all other brain protectants are measured."

In hypothermia, body temperature drops below 95 degrees Fahrenheit (35 degrees Celsius). Under normal circumstances, this can be very dangerous because the cold can slow down the heart and nervous system to the point that the body's cardiac and respiratory systems fail.

But one of the biggest theories for why hypothermia works in a therapeutic context is that it slows down our metabolism, similar to what's seen in animals during hibernation, Lyden said. "Because the metabolism is slowed, the death process in the brain is also slowed down."

Therapeutic hypothermia can protect the human brain following cardiac arrest, and it is also sometimes used to treat newborns with hypoxic ischemic encephalopathy, an injury that blocks blood and oxygen to the brain around the time of birth. However, studies of hypothermia in adult stroke patients have been less successful, Lyden said.

The C+P approach may be a more effective way to slow metabolism in stroke patients, the researchers hypothesized. In previous experiments, C+P reduced neuroinflammation in rodent models of stroke, possibly through changes in metabolic activity independent of hypothermia.

In the new study, the treatment was compared with two other methods of reducing core temperature in mice: a different drug, called adenosine 5'-monophosphate, and surface cooling using cold water and ice packs. While all three approaches induced hypothermia in the mice, only C+P treatment reduced their overall oxygen consumption and energy expenditure, two important indicators of slowed metabolism.

The paper highlights metabolism as more than a mere secondary effect of hypothermia, Landsness said; it's a process worth studying in its own right.

In mice, C+P treatment reduced the burning of sugar by the brain and brown fat, which burns fuel to generate heat. The treatment was also associated with less brain tissue damage and lactate accumulation, which can drive cell death, after stroke. These effects were also observed in rhesus monkeys treated with C+P.

According to the small safety trial with humans, the metabolic effects of C+P appear to extend to people.

The researchers measured lower levels of metabolism-associated proteins in the blood of patients who received the highest dose of the treatment tested. These were also the only patients to experience a significant decrease in body temperature at four hours after treatment, although their temperatures never dipped into true hypothermia. (Temperatures did fall that dramatically in the mice and monkeys.)

In people, C+P infusion did not reduce the degree of brain damage seen 72 hours after treatment, nor did it affect the participants' ability to perform daily activities without assistance after 90 days. Alongside the C+P treatment, the patients had also received standard reperfusion therapies.

The study authors, based at Capital Medical University in Beijing, did not respond to Live Science's request for comment. In their paper, they wrote that future trials could potentially establish the protective value of the C+P treatment in stroke.

In the current study, C+P did not trigger notable side effects in humans, but Lyden worried that the medications may still pose a risk of worrying effects. The two drugs could potentially interact in ways that cause symptoms like muscle spasms, seizures or changes in heart rhythm, for example. For that reason, it may be best to find different drugs that still slow metabolism but don't come with those risks, Lyden suggested.

To find an alternative to the C+P regimen, researchers will need a better sense of how the drugs exert their effects. The new paper "happened to fall upon a drug [combo] that happens to induce hypothermia and hypometabolism, but we don't necessarily know why," Landsness said. His lab is studying the neural circuits involved in hypothermia and hypometabolism, which could reveal new therapeutic targets.

This article is for informational purposes only and is not meant to offer medical advice.

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A massive wave of warm water is making its way across the Pacific Ocean as the newly declared El Niño gets into full swing, satellite images show.

The band, called a Kelvin wave, marks a swell of higher-than-average sea levels that stretches hundreds of miles along the equator. The anomaly is caused by warmer waters linked to El Niño — the warm phase of a natural climate pattern whose current iteration could become one of the strongest ever recorded.

The Sentinel-6 Michael Freilich satellite captured the deviations from average sea surface height on June 8. Red areas indicate higher sea surfaces than usual, while blue areas mark areas with lower surface heights.

Developed and launched in 2020 by NASA and the European Space Agency and operated by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Sentinel-6 Michael Freilich measures changes in sea surface height down to fractions of an inch every 10 days.

The data complements measurements of sea surface temperature that have shown Pacific waters warming at unpreceded rates over the past several months, leading scientists to declare the start of a new El Niño on June 11. When ocean water warms, it expands and takes up more space. That translates to an increase in the height of the water relative to the satellite and the center of Earth, which is then picked up by the satellite's sensitive equipment. At some points along the equator, sea surfaces are now more than 6 inches (15 centimeters) higher than usual.

Kelvin waves like this one form when winds in the western Pacific near the equator weaken and temporarily reverse, blowing from west to east instead of east to west. That lets warm water gradually build up in the east, deepening the layer of warm surface waters and preventing colder waters from rising from below. The wave has now reached the western coast of South America.

NASA had already observed a few other Kelvin waves this year, suggesting an El Niño event was soon to follow. In January, Sentinel-6 Michael Freilich detected one near Micronesia that dissipated around mid-February. Another emerged in March and elevated sea levels near Peru by mid-May.

Changes in sea surface temperature or height can alter atmospheric circulation patterns and affect the weather. El Niño often increases rainfall in the southwestern U.S., Colombia, Peru and Ecuador, while rainfall in the western Pacific tends to decrease. The most recent El Niño, which lasted from June 2023 to April 2024, boosted global mean temperatures that made 2024 the hottest year on record and the first to breach the 1.5 degrees Celsius (2.7 degrees Fahrenheit) warming limit — a guardrail set by the Paris Agreement beyond which the effects of climate change become more and more catastrophic.

The June 8 conditions in the western Pacific were similar to those that occurred 1997 during a particularly strong El Niño, according to a statement from NASA. 2026 has seen fewer Kelvin waves so far than 1997, but this year’s El Niño is still ramping up.

"For now, it looks like it's going to be a big one — more so than I would have said last week — but we still need more observations to know what's going to happen," Severine Fournier, a sea level researcher at NASA’s Jet Propulsion Lab, said in the statement.

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Humans have been searching the stars for alien radio signals for decades — and so far, E.T. has not phoned home. But that doesn’t mean intelligent life isn’t out there, a new study hints. Rather, something else could be interfering: according to the research, space weather surrounding alien planets could be preventing us from detecting technological signals from extraterrestrial civilizations.

The findings, published March 5 in The Astrophysical Journal, offer a potential answer to the Fermi paradox: Given the size of the universe, there are many potentially habitable planets that could support life, and yet we have not detected technosignatures from any of them ‪— so, "Where is everyone?" physicist Enrico Fermi famously posited in 1950.

In the new study, researchers found that space weather caused by a planet's star could broaden hypothetical technosignals, dissipating their power over a larger range of frequencies and making them more difficult to detect.

"If a signal gets broadened by its own star's environment, it can slip below our detection thresholds, even if it's there, potentially helping explain some of the radio silence we've seen in technosignature searches," Vishal Gajjar, an astronomer at the SETI Institute and first author of the paper, said in a statement.

One way astronomers search for alien life is by looking for very narrowband signals, which are sharp spikes in the power of a radio emission. This spike usually only covers a few hertz.

"These don't occur naturally," Evan Keane, an astronomer at Trinity College Dublin who was not involved in the research, told Live Science. "So, if you see something very narrowband, you know that it is from something of interest." Astronomers would, for example, be able to easily detect some narrowband technosignatures on Mars, coming from the Mars rovers. But they have not observed any such signals from a clearly non-human origin.

Distorting signals

The new research argues that astronomers may have been looking for the wrong signal shape. In the new study, the researchers found that alien signals could be distorted by stellar space weather surrounding their home stars, which could explain why they have not been detected.

Space weather refers to changes in the space environment caused by charged particles, radiation and giant lumps of plasma called coronal mass ejections emitted by the sun. Other stars also generate space weather in their vicinity.

Gajjar and SETI colleague Grayce Brown investigated how space weather has historically impacted communications between Earth and spacecraft such as Mariner IV, which flew by Mars in the 1960s, and the Viking probes, which launched in 1977 for a voyage through the solar system and beyond. They created one of the largest collections of signal broadening examples and used that information to determine how other sunlike stars would affect the environment around their exoplanets. From this, the team calculated what would happen to a hypothetical alien narrowband signal that originated on one of them.

Then, they turned their attention to M dwarf stars, the most common type in the Milky Way. These stars account for three out of four stars in our galaxy, and some have been around since the early universe. That gives them a lot of time to have developed technologically advanced life, according to the paper.

There are no actual measurements of space weather around these stars, so Gajjar and Brown modeled what might happen to a narrowband technosignal that emerged from exoplanets and had to travel through interplanetary plasma. They found that hypothetical narrowband signals from these exoplanets were more likely to be smeared by space weather, making them even harder to detect.

In the paper, the authors propose a framework to estimate how much broadening would happen to a signal, given its frequency and the type of star its exoplanet was orbiting.

This new framework doesn’t totally answer Fermi’s infamous question, but it does give us a potential reason for the silence. The Fermi paradox "is not solely evidence for the absence of transmitters, but also a reflection of our detection limitations arising from a mismatch between the assumed signal morphology" and shape, the researchers wrote.

A step forward for SETI

Michael Garrett, an astrophysicist at the University of Manchester in the U.K. who was not involved in the study, welcomed the research.

"It is a solid contribution that SETI researchers and signal-processing teams should pay attention to," he told Live Science. "One of the strengths of the paper is that it's grounded in real measurements too, drawing on decades of spacecraft observations."

However, he emphasized that the paper focused on narrowband radio signals, which was only one way of potentially detecting an alien civilization. By contrast, Garrett's work explores the possible combined radio leakage from a technological civilization across a large range of frequencies.

Andrew Siemion, director of Breakthrough Listen Oxford Hub in the U.K. who was not involved in the research but collaborates with the SETI Institute, said this is the first paper to explore the space around exoplanets and its impact on detectability.

"The work offers a very concrete mechanism through which a candidate signal might ultimately be validated as having a likely origin with a distant planetary system," he told Live Science.

The authors recommended that future searches, especially with sensitive next-generation telescopes such as SKA-Low, take note of signal broadening when searching for civilizations beyond Earth.

Are you a UFO fanatic? Find out with our extraterrestrials quiz!

China controls some of the largest rivers in Asia, experiences heavy rain and has vast stores of water locked in glaciers in the west. But despite these abundant resources, China has a water problem. While central and southern regions are quenched by massive rivers like the Yangtze, the northeastern megacities like Beijing and Tianjin have endured serious water scarcity as agriculture, industry and population size rapidly increased.

To address the imbalance, China has undertaken one of the biggest engineering projects in the world: rerouting the flow of one of the world's mightiest rivers and its tributary, and ferrying the water thousands of miles from the center and south of the country to the thirsty north.

Called the South-to-North Water Transfer Project (SNWTP), the vast system of canals, pipes, dams, reservoirs and pumps moves staggering amounts of water via two routes through central and eastern China.

"It binds into a single network four major river basins, six provinces, three megacities, myriad bureaucracies, and more than 700 million people," Michael Webber, a professor emeritus in the School of Geography, Earth and Atmospheric Sciences at the University of Melbourne who specializes in regional economic development in China, wrote in a 2023 journal article.

But even this is not enough to satisfy the water needs in the North: China is currently expanding these routes and is planning a third, western route for the project, which would snake through the Tibetan Plateau before feeding the water-parched north and east. The route is attractive to Chinese officials because the river-and-glacier-threaded plateau, dubbed the Water Tower of Asia, has abundant water resources and is the source of numerous major rivers.

However, experts say the routes could worsen conditions in parts farther south that provide the water. What's more, the Tibetan portion of the project has stoked fears and suspicion in neighbors, as unofficial plans swirl suggesting major transboundary rivers could be diverted away from other countries and further into China.

The huge plan is "unbelievable," Mark Wang, a professor of human geography at the University of Melbourne, told Live Science. "The proposals [have] underestimated the negative impacts — environmental, earthquakes, evaporation and economic cost," as well as the international impacts, Wang added.

Water imbalance

Construction of the SNWTP began in 2002. The eastern route has operated since 2013 and transports water from the mighty Yangtze from Yangzhou, near Shanghai, to the megacity Tianjin, which has a population of 15 million people. The central route, which goes from Danjiangkou to Beijing and Tianjin, began flowing the following year, carrying water from the Han River, or Hanjiang. Together, they have moved 21 cubic miles (88 cubic kilometers) of water more than 1,800 miles (2,900 kilometers) since they began operating, according to the Chinese government — more than double the maximum amount of water held in Lake Mead.

The motivation for this project is obvious: China must support nearly 20% of the world's population with just 6% of its freshwater reserves. And this water is not distributed evenly across the country. Northern China has nearly half of the country's population and more than half of its agriculture but just one-fifth of the country's freshwater reserves.

In some places, the imbalance is even more dramatic. Tibet, in the west, has 4.8 million cubic feet (136,800 cubic meters) of water per person, while Tianjin, in the Northeast, has just 3,990 cubic feet (113 cubic m) per person. The United Nations considers less than 1,000 cubic m (35,000 cubic feet) of fresh water available per person water scarcity and less than 500 cubic meters (18,000 cubic feet) per person as "absolute water scarcity." The average in the U.S. is 314,300 cubic feet (8,900 cubic m).

Water transfer

China has a long history of rerouting water to serve its needs. Parts of the eastern route, for instance, use the Grand Canal, which was first built in the fifth century B.C.

And the broad concept of transferring water from the south to the north was first laid out by Mao Zedong, China's first communist leader, in 1952.

"Control of water has been a key theme in Chinese history and mythology," Tom Harper, a lecturer at the University of East London specializing in Chinese foreign policy and international relations, told Live Science.

Currently, the eastern route, which stretches 715 miles (1,150 km) from the Yangtze River to eventually reach Tianjin, transfers around 4 cubic miles (15 cubic km) of water per year.

This water needs to travel 213 feet (65 m) uphill, meaning pumping stations have to raise the water along the route.

The central route, meanwhile, relies on gravity to channel around 3 cubic miles (13 cubic km) of water 790 miles (1,270 km) from Danjiangkou Reservoir, on the Han River in Hubei province, to eventually reach Tianjin.

The Danjiangkou Reservoir already existed before the commencement of the project, but it was significantly expanded to raise the water level — and required 350,000 people to be relocated as a result.

The routes are now key to providing water to Beijing and Tianjin. For example, around 70% of Beijing's water comes from the route, experts told Live Science.

Fixing the fixes

The Chinese government and many Chinese scientists have boasted that the project has increased the water supply to people in northern China, raised the groundwater table in northern regions, and increased economic activity and agriculture in the region.

A major part of the project also focused on improving water quality: Freshwater supplies in China are heavily polluted, which reduces the amount of drinkable water.

"These were reservoirs, these were rivers, these were groundwater resources that had severe pollution impacts," Darrin Magee, a dam expert at Western Washington University, told Live Science. "So in the south where we had abundant water resources, the quality tended to be very bad in some areas."

To rectify this, the SNWTP installed water-cleaning stations along the route and the government implemented measures to reduce water pollution, including shutting down or relocating hundreds of manufacturing businesses that dumped their waste into waterways along the routes.

Along the eastern route, "pollution was terrible," Wang noted. "The central government put in a lot of effort… and they have control of the pollution again in a short period of time," he noted, adding that the water quality has significantly improved along the routes.

However, experts have said that the massive project has damaged ecosystems, displaced hundreds of thousands of people and fueled saltwater intrusion into underground reserves in water-providing areas, as the Yangtze River's freshwater flow is reduced.

"When the South-North Water Transfer was being proposed, many, many Chinese scientists were also against it because you just create lots and lots of new problems, whatever you fix," Emily Yeh, a professor of geography at the University of Colorado Boulder who specializes in Tibet, told Live Science. "Why not conserve water instead?"

Other experts agreed. "The water problem in China, it's not just physical water scarcity, it's the structural problem," Wang said. The biggest driver of water consumption is farming irrigation, which is water-intensive and leads to significant water loss. Conserving that water would go a long way to alleviating water scarcity, Wang added.

If China's "first priority is conservation, you won't need a large-scale, world's largest mega project," Wang said. Chinese authorities seem to be realizing this. They're also attempting large-scale water conservation policies, Wang said.

But the country is forging ahead with engineering projects.

The SNWTP's sources, particularly along the Han River, have less water per capita than the world's average, so siphoning off large amounts of the river's water could severely strain local areas. This has become such a problem that Chinese authorities are now undertaking even more engineering projects to alleviate the problem caused by the SNWTP. For instance, a new, smaller diversion is being added near the Danjiangkou reservoir, because people downstream are not getting sufficient water, Wang said.

The central route is further being extended to improve Danjiangkou's water levels. The central route relies on gravity, so a high water level is required for the route and the reservoir's dam to function. If water levels dip too low, as happened in 2011 during droughts, the dam stops working. So, engineers are connecting the Danjiangkou reservoir to the Three Gorges Dam, the world's largest dam, on the Yangtze, to increase the water supply.

The project is "a fix to fix the fix to fix the fix," environmental researcher Stevan Harrell wrote in the Made in China Journal — emphasizing the ever-growing number of engineering projects to deal with poor water governance.

Western route

Even though the two existing routes provide vast amounts of water to the North, and other water-conservation measures are being rolled out, Chinese authorities say the supply to the North is still not enough to meet demand, and that more water diversion is necessary.

The SNWTP's planned western route through the Tibetan Plateau won't start operations until at least 2050, but since its earliest planning stages, it has been mired in controversy.

The western route's official path would take 4 cubic miles (17 cubic km) of water per year from the Tongtian, Yalong and Dadu rivers — all tributaries that eventually feed into the Yangtze. The route would cross about 190 miles (300 km) of the Tibetan Plateau to the Yellow River, which then flows to the water-scarce north and east. The government has commissioned more feasibility studies for this route as part of the country's newly announced five-year plan.

The construction of such a massive project is fraught with difficulty. The Tibetan Plateau rises 10,000 to 15,000 feet (3,000 to 4,500 m) above sea level. These high altitudes present several problems, such as challenges in construction and maintenance, and difficulties in preventing water from freezing.

To transfer water across the plateau, the route would require pumping stations, along with a series of 300- to 1,000-foot-tall (100 to 300 m) dams, which would rank among the tallest dams in the world. The project would also require cutting 200 miles (300 km) of tunnels through the mountains, including the Bayan Har Mountains, which separate the upper Yangtze and Yellow River drainage basins.

The Tibetan Plateau is very seismically active, meaning earthquakes could lead to collapses or landslides, potentially damaging the vast infrastructure.

In 2018, Chinese scientists attempted to overcome the difficult terrain by transferring water through the air. But the "Sky River," or Tianhe project, ultimately proved unfeasible and has been effectively cancelled.

But China has not been deterred by these obstacles. The ongoing construction of the Dianzhong Water Diversion Project, in Yunnan province in southwest China, provides a test case for transferring water across mountainous, earthquake-prone landscapes. The damless design relies on a 380-mile-long (610 km) series of 58 tunnels, as well as pumps, to carry water through the mountainous and seismically active terrain. It is the "the world's longest water tunnel that could fit two high speed trains" and is "seen as a pilot demonstration project that will inspire and inform the design for the Western Routes," according to the Hong Kong-based think tank CWR. The first stage of the Dianzhong project is due for completion later this year, with a second phase recently announced.

Red flag

While the official western route has yet to break ground, alternative proposals have caused serious concern in neighboring countries. One unofficial plan developed in the 1990s, which politicians and academics subsequently considered completely unworkable, suggested funneling 48 cubic miles (200 cubic km) of water (four times the flow of the Yellow River) away from the Brahmaputra River, which flows into India and Bangladesh, and diverting the water toward the Yellow River basin, which serves the North and East of China.

A second controversial proposal, known as the Red Flag River project, suggests diverting 14 cubic miles (60 cubic km) of water 3,700 miles (6,000 km) from the Lancang, Nu and Yarlung Tsangpo rivers (called the Mekong, Salween and Brahmaputra rivers when they leave China) across the Tibetan Plateau to the northern Xinjiang region, which has high water stress and is facing desertification. Officials suggested the plan could turn Xinjiang into China's "California." The diverted water could also potentially be rerouted toward Beijing, experts told Live Science.

Some experts have called these "semi-official" proposals, as they have no official government backing but have been discussed openly by researchers with heavy government backing and support in China, which the government wouldn't allow if these people were truly speaking out of turn, Wang said.

Despite no official government backing, the plans have worried neighboring countries, particularly India, due to fears that any water diversions on international rivers could significantly reduce vital downstream supplies. Massive water engineering projects are already being built in Tibet, such as the upcoming Motuo megadam on the Yarlung Tsangpo — close to the proposed starting point for the Red Flag River project.

"There's a lot of concern that there might be water diversion, because China has been talking about this for many, many years," Tenzin Norgay, a researcher at the nonprofit organization International Campaign for Tibet, told Live Science. "If it happens, it's going to be a huge risk to downstream countries."

Researchers have calculated that the Red Flag project would likely siphon around 20% of the rivers' upstream flows, though the overall water loss for the whole of each river is less than that. Regardless of the actual amount of diversion, the lack of international consultations and transparency is exacerbating suspicions, experts told Live Science.

A changing climate

While China is forging ahead with attempts to redistribute China's water and reduce water scarcity via the SNWTP, climate change could scramble those plans. An increased risk of droughts over the coming decades could compromise the SNWTP's ability to move water.

The Tibetan Plateau, which is a source of water for almost 2 billion people, is particularly at risk. The world's "Third Pole" is rapidly warming, leading its numerous glaciers to melt. This could lead to sudden flooding, followed decades later by reduced river flow as the glaciers disappear. Desertification, meanwhile, is also impacting the Tibetan Plateau.

"Short to medium term, [we'll] see an increase in runoff as melting begins earlier each year," Magee said. "But over the long term, decreased snowpack means less secure water resources for most of China."

Taming nature

China's water management approaches include vast dam-building projects, cloud seeding, monumental tree-planting schemes and water-transfer projects, all of which rely on technological and engineering solutions to control the natural world, experts told Live Science.

When it comes to megaprojects, "If there's any country that will do it, it's China," Magee said. "The People's Republic of Engineers."

Other experts agreed. "It is part of this idea that you can engineer your way out of these problems, even if it's with trees rather than with machines," Yeh said. "A large-scale engineering approach to the natural world has been a characteristic of Chinese approaches to perceived or real environmental problems."

This is particularly true for the Tibetan Plateau. "The government is really imagining Tibet as a source of ecological service for the rest of the country," Yeh said.

Other experts agreed that Chinese authorities typically take an engineering approach to attempt to manage nature.

But Wang noted that China faces big pressures, which is why its government is looking for big solutions.

"If you understand China's energy issues, you understand why China is doing this. If you understand the water and food security issues, you understand so many things China has done," Wang said.

From government surveillance programs to microchips in vaccines, technology-centric conspiracy theories have exploded in the digital age, adding to some of the best conspiracy theories already in existence.

While most probably seem laughable to the technically literate, some of these theories have spread like wildfire and had significant real-world impacts. And although most are complete fabrications, some do contain a kernel of truth — and others have turned out to be eerily accurate. Here's a rundown of some of the most pernicious technology conspiracy theories.

The Large Hadron Collider is opening a portal to hell

Verdict: Not True

The Large Hadron Collider, operated by the European Organization for Nuclear Research (CERN) in Switzerland, has been an obsession with conspiracy theorists almost since its opening in 2008. The organization has even seen it necessary to have a dedicated page on its website responding to some of the more outlandish claims.

One of the most persistent fears is that the machine could create a black hole that would consume Earth or open portals to other dimensions. At their most hysterical, these theories have suggested that researchers are deliberately opening the gates of Hell to communicate with demonic entities.

Unsurprisingly, physicists swiftly debunked these ideas. The collider uses magnetic fields to accelerate protons to extremely high speeds before smashing them together to create smaller particles. The goal is to discover new elementary particles that could help test theories about how the Universe works.

Creating even a microscopic black hole or wormhole would require an accelerator the size of the whole universe, say researchers. It would also decay in a fraction of a second thanks to Hawking radiation, which causes black holes to lose mass and eventually evaporate. Even if such a black hole was stable, which current physics suggests is impossible, it would take three trillion years to consume just one kilogram of matter.

Tracking microchips in COVID-19 vaccines

Verdict: Not True

When the COVID-19 pandemic hit in early 2020, governments took unprecedented steps to control its spread, including lockdowns and vaccine mandates. That proved fertile breeding ground for novel conspiracy theories, including the bizarre claim that authorities were sneaking microchips into vaccines so they could track people.

The theory’s origins can be traced to March 2020, when Bill Gates participated in a Reddit discussion about digital health passports. A Swedish website dedicated to biohacking misinterpreted his comments and published an article saying the billionaire wanted to use microchip implants to fight the pandemic.

Via a paranoid game of Telephone, this slowly morphed into the idea that the government was using the vaccine to implant tracking chips in citizens. Needless to say, the theory is nonsense. There is no evidence that any of the billions of people vaccinated against COVID-19 have been implanted with tracking hardware.

But by January 2021, one in 10 American adults believed the theory. More worryingly, a poll found that one in four Americans said they were uncertain whether vaccines contained microchips. The conspiracy was built on years of anti-vaccine disinformation, and further fuelled the vaccine hesitancy that made it so hard to control the pandemic.

5G networks spread COVID-19

Verdict: Not True

Another COVID-19 related conspiracy theory that gained significant traction claimed that the disease was being spread by newly installed 5G cellular networks. The theory became so widespread that cell towers were set on fire in several countries, and social media platforms were forced to actively combat its spread.

The idea is firmly contradicted by the overwhelming evidence that COVID-19 is caused by a contagious virus. And crucially, the virus spread rapidly in areas with no 5G coverage whatsoever. Nonetheless, the U.S. Federal Emergency Management Agency felt compelled to issue a statement clarifying that 5G technology does not cause coronavirus, while U.K. government officials dismissed it as a "crackpot conspiracy.”

The fears likely built on top of existing concerns about the health impacts of radiation from cellphone towers. But there is no credible evidence that existing technology causes health problems, and 5G should raise even fewer concerns. The radio frequency waves used by these networks are forms of non-ionizing radiation, meaning they lack the energy to damage DNA or cells in ways that could cause disease. High-band 5G uses millimetre wave frequencies that cannot even penetrate human skin.

The dead internet theory

Verdict: Partially True

The dead internet theory proposes that the web is now dominated by bots interacting with each other with minimal human involvement. The idea has been around for several years, but has been further fuelled by the recent rise of artificial intelligence (AI) chatbots and agents.

The conspiracy first surfaced in 2021 on the Agora Road's Macintosh Cafe forum, in a thread titled "Dead Internet Theory: Most Of The Internet Is Fake." The idea is that automated systems are being used to craft content designed to draw engagement and generate ad revenue. But the theory suggests that those interacting with this content are also bots.

While the extent to which this is true is debatable, there is an element of truth to the theory. Studies show bot traffic was responsible for 51% of all internet activity in 2024 — the first time bots surpassed humans. And since ChatGPT's launch, AI-generated content has exploded, with another study finding that 13.1% of websites now host such material.

This is leading to fears that the internet is being rapidly flooded with low-quality "AI slop" that could degrade its usefulness over time. Given that OpenAI CEO Sam Altman recently gave credence to the theory, this might be one to start taking more seriously. The evolution of this idea, fueled by AI, might permanently change how we use the internet in the years to come.

Governments can control the weather

Verdict: Partially True

Following the highly destructive hurricanes Helene and Milton in 2024, rumours swirled that they were the result of government weather control programs. One of the most prominent boosters of the theory was U.S. Congresswoman Marjorie Taylor Greene, who tweeted “Yes they can control the weather” to her 1.2 million followers shortly before Hurricane Milton hit.

While these specific claims are patently false, like many good conspiracy theories, they contain a kernel of truth. The U.S. government had been interested in weather control as far back as 1891 and had a serious "weather weapons" program in the form of Operation Popeye between 1967 and 1972 during the Vietnam War. Such practices were banned by the Environmental Modification Treaty in 1977.

Basic forms of weather modification also exist today, in particular cloud seeding. This involves dispersing materials like silver iodide into clouds, which can marginally enhance rainfall. Countries like China and Saudi Arabia use the approach to assist in agriculture. China harnessed this technology to ensure clear skies for the 2008 Olympics.

Proposals to fight climate change via solar geoengineering have also further fuelled conspiracy theories. This would involve spreading tiny particles in the upper atmosphere to reflect sunlight. But these approaches are a long way from the kind of weaponized weather control conspiracists dream of.

Phones eavesdrop on you for ad targeting

Verdict: Partially True

Many people have had the eerie experience of seeing ads for products appearing on their phone shortly after discussing them offline. This has led to a persistent belief that smartphones secretly listen to our conversations for advertising purposes.

The rumour has been around for decades, but Instagram head Adam Mosseri recently felt compelled to address it directly, stating the company doesn't use microphones this way and calling it a "gross violation of privacy." Multiple studies have also found no evidence of covert audio recording, and there are several reasons why it would be impractical.

For a start, constant audio recording would rapidly drain phone batteries and trigger visible indicators on phone displays. More importantly, unauthorized recording would create enormous legal liability for those who engaged in it.

But there is something potentially more unsettling behind the phenomenon. Online platforms, advertisers and data brokers are constantly collecting, curating and reselling every tiny piece of information they can glean from our online and offline behaviour. This allows them to develop incredibly accurate profiles of people to provide spookily appropriate, and timely, product suggestions.

Planned obsolescence

Verdict: Partially True

From clothes to consumer electronics and even cars, people increasingly complain that products don’t last as long as they used to. The theory of Planned Obsolescence suggests that this is no accident, and companies deliberately design products with short lifespans to force repeat purchases.

The idea has circulated for a long time and has some truth to it. There is historical evidence that companies have pursued obsolescence as a strategy — in the 1920s, for instance, major light bulb manufacturers came together to form the "Phoebus cartel," which colluded to reduce bulb lifespans to just 1,000 hours. General Motors also pioneered annual model changes to entice customers to buy newer vehicles, creating a template that other industries copied. Technology vendors are particularly guilty — think smartphones with batteries that degrade in just a few years, or no longer support software updates.

But the practice isn't necessarily aimed at tricking us into buying more than we need. Rapid product turnover makes things cheaper to manufacture and with technology in particular, consumers prefer paying less upfront for devices they'll replace soon to access new features. Durability comes at a price too, so customers are often happy to have cheaper products that may not last as long — for instance, clothes that children will grow out of.

Government-sponsored mind control programs

Verdict: True

There is a whole menagerie of conspiracy theories speculating that the government uses technology and drugs for mind control. One prominent recent example is the claim that the U.S. military’s High-frequency Active Auroral Research Program (HAARP) is secretly using radio waves to manipulate people’s thoughts.

While that specific claim has been firmly debunked, the idea that the U.S. government is attempting to control people’s minds is not so outlandish. In 1953, CIA director Allen Dulles launched a top secret program called MKUltra aimed at developing exactly those kinds of capabilities. The agency covertly contracted out 162 projects to various universities, research foundations and institutions to study how psychoactive drugs, hypnosis, electroshock therapy, sensory deprivation and various forms of torture could be used to manipulate people’s mental states.

Experiments were carried out on both volunteers and unwitting subjects, including prisoners, sex workers, soldiers and children. By the mid-1960s, the project’s backers concluded that while it was easy to dismantle a human mind, subsequently seizing control of it was beyond them, and they wound down research in 1964.

Investigative reporting by the New York Times uncovered the project in 1974 and led to a series of congressional hearings. But the bulk of documents related to the project had been destroyed the year before, meaning the true extent of the program remains a mystery.

Widespread digital surveillance

Verdict: True

Paranoia around the government’s ability to listen in on our phone calls or online communications is a defining feature of many conspiracy theories. But in June 2013, former CIA contractor Edward Snowden leaked a treasure trove of classified documents to journalists that validated many of these fears.

The revelations uncovered a mass surveillance network operated by U.S. intelligence agencies and their foreign allies to collect phone records and monitor internet activity across the globe. Most prominently, it uncovered the PRISM program, operated by the U.S. National Security Agency (NSA), which used secret court orders to demand internet communication data from technology companies.

The U.K.'s Government Communications Headquarters (GCHQ) was also revealed to be tapping into 200 fiber-optic cables around the world, allowing it to monitor up to 600 million communications daily.

The reports lead to widespread outrage because the surveillance targeted not only suspected terrorists and criminals but also ordinary citizens, journalists, corporations and 35 foreign leaders – most notably the phone of the German chancellor at the time, Angela Merkel. But despite an initial public outcry, Congress renewed many of these surveillance programs in 2018 with little debate, suggesting that widespread government surveillance remains alive and well.

Test your knowledge of unfounded beliefs, from flat Earth to lizard people with our conspiracy theory quiz!

This eye-catching satellite snap shows off a "bull's-eye-like" set of concentric cloud rings that formed above an erupting volcano on La Palma in Spain's Canary Islands.

The eruption, the first on La Palma in 50 years, began Sept. 19, 2021, when a fissure opened up on the western flank of Cumbre Vieja — a volcanic ridge that runs through the southern half of the island — and spewed massive lava fountains into the air. The violent outburst created a 660-foot-tall (200 meters) vent, dubbed Tajogaite, which continued to slowly pump out lava until Dec. 13, 2021.

The molten rock flowed into the Atlantic Ocean in a giant "river of fire" that destroyed a town and unleashed deadly gases that are still causing issues for locals today, Live Science previously reported.

The concentric cloud rings in this image are made up of steam, smoke and ash ‪—‬ known as an eruption plume ‪—‬ that rose above Tajogaite for weeks.

Normally, such a plume would continue to climb into the cold air of the stratosphere — the second layer of the atmosphere, which extends from around 6 to 31 miles (10 to 50 kilometers) above Earth's surface. However, when this image was captured, a rare "temperature inversion" created a layer of elevated warm air that acted as a lid, preventing the plume from rising and forcing it to spread outward, according to NASA's Earth Observatory.

The trapped plume created concentric rings that formed from the natural ebb and flow in the intensity of volcanic activity. This pulse in the emissions given off by the volcano is visible in time-lapse footage captured by the Izaña Atmospheric Research Center on Tenerife, another Canary Island.

The official name for this type of concentric cloud formation is a "gravity wave," according to the National Weather Service. However, the formation has nothing to do with gravity, and it's completely separate from the ripples in space-time called gravitational waves.

"River of fire"

During the 85-day eruption, around 7.1 billion cubic feet (200 million cubic meters) of lava — reaching temperatures of up to 2,000 degrees Fahrenheit (1,100 degrees Celsius) — seeped from the ground.

This molten rock traveled around 4 miles (6.4 kilometers), destroying around 3,000 buildings in the town of Todoque, before falling into the Atlantic Ocean in a fiery waterfall. The estimated damage exceeded 700 million euros ($780 million), according to the Spanish newspaper El País.

Where lava fell into the sea, around 4.6 million square feet (430,000 square meters) of new land was created. The reaction between the molten rock and the water also released high levels of volcanic gases, such as sulfur dioxide and hydrogen cyanide.

At least one person, a 72-year-old man who returned to his home prematurely, is believed to have died from inhaling these toxic fumes, according to AFP. Thousands of wild and agricultural animals are also thought to have been killed by the gases.

The damage was "truly terrible," Marie Edmonds, a volcanologist at the University of Cambridge, told Live Science at an event on La Palma in April 2025. "Most shocking to me is the closeness of the vent to the communities," she added when describing what it was like to visit the area. "It must have been absolutely terrifying to see the eruption so close."

The causes of inflammatory bowel disease (IBD) are poorly understood, but now, scientists have pinpointed a runaway immune response that may underlie the condition in some patients.

IBD, which is characterized by chronic inflammation in all or part of the digestive tract, affects millions of people worldwide. Its principal forms are Crohn's disease, which can occur at any point of the gastrointestinal tract, and ulcerative colitis, which affects only the colon and rectum.

While IBD patients may experience similar inflammation, the underlying cause may be different. Understanding those differences could potentially unlock new, targeted angles for treatment, researchers concluded in the new study.

"Identifying these patients early could eventually allow clinicians to move more quickly toward therapies that address the specific mechanism of disease rather than relying on a trial-and-error sequence of medications," Dr. Brad Pasternak, medical director of the IBD Clinic at Phoenix Children's Hospital, who was not involved in the work, told Live Science in an email.

A potential subtype of IBD

The genetics of IBD are complex, with past studies linking the condition to 300 "hotspots" throughout the genome. The strongest known genetic risk factor for ulcerative colitis is a gene variant called HLA-DRB1*01:03, but how this variant contributes to IBD has been unclear.

The new study, published June 10 in The New England Journal of Medicine, helps connect the dots.

A major clue had emerged in previous research by the same team, which tested the blood of two children with IBD. The kids had autoantibodies — immune proteins that target the body itself rather than germs — that were neutralizing a key anti-inflammatory protein called interleukin-10 (IL-10).

IL-10 normally works by inhibiting the secretion of pro-inflammatory proteins, so patients whose bodies block IL-10 are effectively releasing a brake that should be holding off inflammation, Pasternak said.

The researchers suspected that these autoantibodies could be one factor causing IBD. In their latest study, they sought to find out whether more IBD patients had the same autoantibodies.

The study included data from over 4,900 people with IBD and over 1,000 without the condition. Using two separate lab tests, the researchers analyzed blood samples from both groups, finding the autoantibody in 173 of the IBD patients, or about 3.5%. The autoantibody was virtually absent from the blood of the comparison group.

Then, in lab experiments, the team exposed immune cells to blood from the IBD patients who carried the autoantibody. This lowered the amount of IL-10 while triggering a pro-inflammatory response.

Study co-author Dr. Holm Uhlig, a pediatric gastroenterologist at the University of Oxford, told Live Science that identifying what drives the formation of the autoantibodies will be "a question of intense interest." For now, though, their data suggests that patients carrying HLA-DRB1*01:03 are far more likely to have autoantibodies blocking IL-10 than those without the variant.

Historically, the variant has been associated with severe IBD that can require major surgery to treat. "Currently, autoimmune responses are not at all part of the therapeutic repertoire, and that's why we feel it's a relevant study," Uhlig said.

Uhlig also noted that the subgroup of 3.5% of patients they identified is a "significant number," given the large overall number of IBD patients worldwide.

In general, many IBD patients are currently treated with therapies that broadly suppress inflammatory pathways, Pasternak said, but not everyone responds to treatment. This study points to a potential way to someday tailor treatments to the mechanism driving specific patients' diseases, he said.

Aside from offering personalized treatments for IBD patients, Uhlig said their findings may improve diagnoses.

"Patients could undergo genetic testing already in the early stage of their disease diagnosis," he said, "and then it would determine their susceptibility to develop autoantibodies."

This article is for informational purposes only and is not meant to offer medical advice.