Science

Chris Hemsworth and dad fight Alzheimer’s with a trip down memory lane

Alzheimer's disease, Chris Hemsworth, culture, Disney Plus, Hulu, National Geographic, Science, science documentaries / Mike M. / November 21, 2025

Millions of people around the world are living with the harsh reality of Alzheimer’s disease, which also significantly impacts family members. Nobody is immune, as A-list actor Chris Hemsworth discovered when his own father was recently diagnosed. The revelation inspired Hemsworth to embark on a trip down memory lane with his father, which took them to Australia’s Northern Territory. The experience was captured on film for A Road Trip to Remember, a new documentary film from National Geographic.

Director Tom Barbor-Might had worked with Hemsworth on the latter’s documentary series Limitless, also for National Geographic. Each episode of Limitless follows Hemsworth on a unique challenge to push himself to the limits, augmented with interviews with scientific experts on such practices as fasting, extreme temperatures, brain-boosting, and regulating one’s stress response. Barbor-Might directed the season 1 finale, “Acceptance,” which was very different in tone, dealing with the inevitability of death and the need to confront one’s own mortality.

“It was really interesting to see Chris in that more intimate personal space, and he was great at it,” Barbor-Might told Ars. “He was charming, emotional, and vulnerable, and it was really moving. It felt like there was more work to be done there.” When Craig Hemsworth received his Alzheimer’s diagnosis, it seemed like the perfect opportunity to explore that personal element further.

Hemsworth found a scientific guide for this journey in Suraj Samtani, a clinical psychologist at the New South Wales Center for Healthy Brain Aging who specializes in dementia. Recent research has shown that one’s risk of dementia can be reduced by half by maintaining regular social interactions, and, even after a diagnosis, fostering strong social connections can slow cognitive decline. Revisiting past experiences, including visiting locations from one’s past, can also boost cognition in those with early onset dementia or Alzheimer’s—hence the Hemsworth road trip.

The first stage was to re-create the Melbourne family home from the 1990s. “The therapeutic practice of reminiscence therapy gave the film not only its intellectual and emotional underpinning, it gave it its structure,” said Barbor-Might. “We wanted to really explore this and also, as an audience, get a glimpse of their family life in the 1990s. It was a sequence that felt really important. The owner extraordinarily agreed to let us revert [the house]. They went and lived in a hotel for a month and were very, very noble and accommodating.”

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First revealed in spy photos, a Bronze Age city emerges from the steppe

aerial archaeology, ancient cities, ancient people did stuff, Archaeology, bronze age, Kazakhstan, satellite archaeology, Science / Kelly Newman / November 21, 2025

An unexpectedly large city lies in a sea of grass inhabited largely by nomads.

This bronze ax head was found in the western half of Semiyarka. Credit: Radivojevic et al. 2025

Today all that’s left of the ancient city of Semiyarka are a few low earthen mounds and some scattered artifacts, nearly hidden beneath the waving grasses of the Kazakh Steppe, a vast swath of grassland that stretches across northern Kazakhstan and into Russia. But recent surveys and excavations reveal that 3,500 years ago, this empty plain was a bustling city with a thriving metalworking industry, where nomadic herders and traders might have mingled with settled metalworkers and merchants.

Photo of two people standing on a grassy plain under a gray sky — Radivojevic and Lawrence stand on the site of Semiyarka. Credit: Peter J. Brown

Welcome to the City of Seven Ravines

University College of London archaeologist Miljana Radivojevic and her colleagues recently mapped the site with drones and geophysical surveys (like ground-penetrating radar, for example), tracing the layout of a 140-hectare city on the steppe in what’s now Kazakhstan.

The Bronze Age city once boasted rows of houses built on earthworks, a large central building, and a neighborhood of workshops where artisans smelted and cast bronze. From its windswept promontory, it held a commanding view of a narrow point in the Irtysh River valley, a strategic location that may have offered the city “control over movement along the river and valley bottom,” according to Radivojevic and her colleagues. That view inspired archaeologists’ name for the city: Semiyarka, or City of Seven Ravines.

Archaeologists have known about the site since the early 2000s, when the US Department of Defense declassified a set of photographs taken by its Corona spy satellite in 1972, when Kazakhstan was a part of the Soviet Union and the US was eager to see what was happening behind the Iron Curtain. Those photos captured the outlines of Semiyarka’s kilometer-long earthworks, but the recent surveys reveal that the Bronze Age city was much larger and much more interesting than anyone realized.

This 1972 Corona image shows the outlines of Semiyarka’s foundations. Radivojevic et al. 2025

When in doubt, it’s potentially monumental

Most people on the sparsely populated steppe 3,500 years ago stayed on the move, following trade routes or herds of livestock and living in temporary camps or small seasonal villages. If you were a time-traveler looking for ancient cities, the steppe just isn’t where you’d go, and that’s what makes Semiyarka so surprising.

A few groups of people, like the Alekseeva-Sargary, were just beginning to embrace the idea of permanent homes (and their signature style of pottery lies in fragments all over what’s left of Semiyarka). The largest ancient settlements on the steppe covered around 30 hectares—nowhere near the scale of Semiyarka. And Radivojevic and her colleagues say that the layout of the buildings at Semiyarka “is unusual… deviating from more conventional settlement patterns observed in the region.”

What’s left of the city consists mostly of two rows of earthworks: kilometer-long rectangles of earth, piled a meter high. The geophysical survey revealed that “substantial walls, likely of mud-brick, were built along the inside edges of the earthworks, with internal divisions also visible.” In other words, the long mounds of earth were the foundations of rows of buildings with rooms. Based on the artifacts unearthed there, Radivojevic and her colleagues say most of those buildings were probably homes.

The two long earthworks meet at a corner, and just behind that intersection sits a larger mound, about twice the size of any of the individual homes. Based on the faint lines traced by aerial photos and the geophysical survey, it may have had a central courtyard or chamber. In true archaeologist fashion, Durham University archaeologist Dan Lawrence, a coauthor of the recent paper, describes the structure as “potentially monumental,” which means it may have been a space for rituals or community gatherings, or maybe the home of a powerful family.

The city’s layout suggests “a degree of architectural planning,” as Radivojevic and her colleagues put it in their recent paper. The site also yielded evidence of trading with nomadic cultures, as well as bronze production on an industrial scale. Both are things that suggest planning and organization.

“Bronze Age communities here were developing sophisticated, planned settlements similar to those of their contemporaries in more traditionally ‘urban’ parts of the ancient world,” said Lawrence.

Who put the bronze in the Bronze Age? Semiyarka, apparently

Southeast of the mounds, the ground was scattered with broken crucibles, bits of copper and tin ore, and slag (the stuff that’s left over when metal is extracted from ore). That suggested that a lot of smelting and bronze-casting happened in this part of the city. Based on the size of the city and the area apparently set aside for metalworking, Semiyarka boasted what Radivojevic and her colleagues call “a highly-organized, possibly limited or controlled, industry of this sought-after alloy.”

Bronze was part of everyday life for people on the ancient steppes, making up everything from ax heads to jewelry. There’s a reason the period from 2000 BCE to 500 BCE (mileage may vary depending on location) is called the Bronze Age, after all. But the archaeological record has offered almost no evidence of where all those bronze doodads found on the Eurasian steppe were made or who was doing the work of mining, smelting, and casting. That makes Semiyarka a rare and important glimpse into how the Bronze Age was, literally, made.

Radivojevic and her colleagues expected to find traces of earthworks or the buried foundations of mud-brick walls, similar to the earthworks in the northwest, marking the site of a big, centralized bronze-smithing workshop. But the geophysical surveys found no walls at all in the southeastern part of the city.

“This area revealed few features,” they wrote in their recent paper (archaeologists refer to buildings and walls as features), “suggesting that metallurgical production may have been dispersed or occurred in less architecturally formalized spaces.” In other words, the bronzesmiths of ancient Semiyarka seem to have worked in the open air, or in a scattering of smaller, less permanent buildings that didn’t leave a trace behind. But they all seem to have done their work in the same area of the city.

Connections between nomads and city-dwellers

East of the earthworks lies a wide area with no trace of walls or foundations beneath the ground, but with a scattering of ancient artifacts lying half-buried in the grass. The long-forgotten objects may mark the sites of “more ephemeral, perhaps seasonal, occupation,” Radivojevic and her colleagues suggested in their recent paper.

That area makes up a large chunk of the city’s estimated 140 hectares, raising questions about how many people lived here permanently, how many stopped here along trade routes or pastoral migrations, and what their relationship was like.

A few broken potsherds offer evidence that the settled city-dwellers of Semiyarka traded regularly with their more mobile neighbors on the steppe.

Within the city, most of the ceramics match the style of the Alekseevka-Sargary people. But a few of the potsherds unearthed in Semiyarka are clearly the handiwork of nomadic Cherkaskul potters, who lived on this same wide sea of grass from around 1600 BCE to 1250 BCE. It makes sense that they would have traded with the people in the city.

Along the nearby Irtysh River, archaeologists have found faint traces of several small encampments, dating to around the same time as Semiyarka’s heyday, and two burial mounds stand north of the city. Archaeologists will have to dig deeper, literally and figuratively, to piece together how Semiyarka fit into the ancient landscape.

The city has stories to tell, not just about itself but about the whole vast, open steppe and its people.

Antiquity, 2025. DOI: 10.15184/aqy.2025.10244 (About DOIs).

Kiona is a freelance science journalist and resident archaeology nerd at Ars Technica.

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Rocket Report: SpaceX’s next-gen booster fails; Pegasus will fly again

atlas v, blue origin, china, falcon 9, long march 2f, new glenn, Northrop Grumman, pythom, rocket lab, rocket report, saab, Science, shenzhou, Space, spacex, starship, super heavy, united launch alliance / Mike M. / November 21, 2025

With the government shutdown over, the FAA has lifted its daytime launch curfew.

Blue Origin’s New Glenn booster arrives at Port Canaveral, Florida, for the first time Tuesday aboard the “Jacklyn” landing vessel. Credit: Manuel Mazzanti/NurPhoto via Getty Images

Welcome to Edition 8.20 of the Rocket Report! For the second week in a row, Blue Origin dominated the headlines with news about its New Glenn rocket. After a stunning success November 13 with the launch and landing of the second New Glenn rocket, Jeff Bezos’ space company revealed a roadmap this week showing how engineers will supercharge the vehicle with more engines. Meanwhile, in South Texas, SpaceX took a step toward the first flight of the next-generation Starship rocket. There will be no Rocket Report next week due to the Thanksgiving holiday in the United States. We look forward to resuming delivery of all the news in space lift the first week of December.

As always, we welcome reader submissions. If you don’t want to miss an issue, please subscribe using the box below (the form will not appear on AMP-enabled versions of the site). Each report will include information on small-, medium-, and heavy-lift rockets, as well as a quick look ahead at the next three launches on the calendar.

Northrop’s Pegasus rocket wins a rare contract. A startup named Katalyst Space Technologies won a $30 million contract from NASA in August to build a robotic rescue mission for the agency’s Neil Gehrels Swift Observatory in low-Earth orbit. Swift, in space since 2004, is a unique instrument designed to study gamma-ray bursts, the most powerful explosions in the Universe. The spacecraft lacks a propulsion system and its orbit is subject to atmospheric drag, and NASA says it is “racing against the clock” to boost Swift’s orbit and extend its lifetime before it falls back to Earth. On Wednesday, Katalyst announced it selected Northrop Grumman’s air-launched Pegasus XL rocket to send the rescue craft into orbit next year.

Make this make sense … At first glance, this might seem like a surprise. The Pegasus XL rocket hasn’t flown since 2021 and has launched just once in the last six years. The solid-fueled rocket is carried aloft under the belly of a modified airliner, then released to fire payloads of up to 1,000 pounds (450 kilograms) into low-Earth orbit. It’s an expensive rocket for its size, with Northrop charging more than $25 million per launch, according to the most recent public data available; the satellites best suited to launch on Pegasus will now find much cheaper tickets to orbit on rideshare missions using SpaceX’s Falcon 9 rocket. There are a few reasons none of this mattered much to Katalyst. First, the rescue mission must launch into a very specific low-inclination orbit to rendezvous with the Swift observatory, so it won’t be able to join one of SpaceX’s rideshare missions. Second, Northrop Grumman has parts available for one more Pegasus XL rocket, and the company might have been willing to sell the launch at a discount to clear its inventory and retire the rocket’s expensive-to-maintain L-1011 carrier aircraft. And third, smaller rockets like Rocket Lab’s Electron or Firefly’s Alpha don’t quite have the performance to place Katalyst’s rescue mission into the required orbit. (submitted by gizmo23)

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Ursa Major rakes in more cash. Aerospace and defense startup Ursa Major Technologies landed a $600 million valuation in a new fundraising round, the latest sign that investors are willing to back companies developing new rocket technology, Bloomberg reports. Colorado-based Ursa Major closed its Series E fundraising round with investments from the venture capital firms Eclipse, Woodline Partners, Principia Growth, XN, and Alsop Louie Partners. The company also secured $50 million in debt financing. Ursa Major is best known as a supplier of liquid-fueled rocket engines and solid rocket motors to power a range of commercial and government vehicles.

Hypersonic tailwinds … Ursa Major says it is positioned to provide the US industrial base with propulsion systems faster and more affordably than legacy contractors can supply. “The company will rapidly field its throttleable, storable, liquid-fueled hypersonic and space-based defense solution, as well as scale its solid rocket motor and sustained space mobility manufacturing capacity,” Ursa Major said in a press release. Its customers include BAE Systems, which will use Ursa Major’s solid rocket motors to power tactical military-grade rockets, and Stratolaunch, which uses Ursa Major’s liquid-fueled Hadley engine for its hypersonic Talon-A spaceplane.

Rocket Lab celebrates two launches in 48 hours. Rocket Lab launched a payload for an undisclosed commercial customer Thursday, just hours after the company announced plans for the launch, Space News reports. The launch from Rocket Lab’s primary spaceport in New Zealand used the company’s Electron rocket, but officials released little more information on the mission, other than its nickname: “Follow My Speed.” An artist’s illustration on the mission patch indicated the payload might have been the next in a line of Earth-imaging satellites from the remote sensing company BlackSky, although the firm’s previous satellites have not launched with such secrecy.

Two hemispheres … Thursday’s launch from the Southern Hemisphere came just two days after Rocket Lab’s previous mission lifted off from Wallops Island, Virginia. That flight was a suborbital launch to support a hypersonic technology demonstration for the Defense Innovation Unit and the Missile Defense Agency. All told, Rocket Lab has now launched 18 Electron rockets this year with 100 percent mission success, a company record.

Spanish startup makes a big reveal. The Spanish company PLD Space released photos of a test version of its Miura 5 rocket Thursday, calling it a “decisive step forward in the orbital launcher validation campaign.” The full-scale qualification unit, called QM1, will allow engineers to complete subsystem testing under “real conditions” to ensure the rocket’s reliability before its first mission scheduled for 2026. The first stage of the qualification unit will undergo a full propellant loading test, while the second stage will undergo a destructive test in the United States to validate the rocket’s range safety destruct system. Miura 5 is designed to deliver a little more than a metric ton (2,200 pounds) of payload to low-Earth orbit.

Still a long way to go … “Presenting our first integrated Miura 5 unit is proof that our model works: vertical integration, proprietary infrastructure and a philosophy based on testing, learning, and improving,” said Raúl Torres, CEO and co-founder of PLD Space. The reveal, however, is just the first step in a qualification campaign that takes more than a year for most rocket companies. PLD Space aims to go much faster, with plans to complete a second qualification rocket by the end of December and unveil its first flight rocket in the first quarter of next year. “This unprecedented development cadence in Europe reinforces PLD Space’s position as the company that has developed an orbital launcher in the shortest time–just two years–whilst meeting the highest quality standards,” the company said in a statement. This would be a remarkable achievement, but history suggests PLD Space has a steep climb in the months ahead. (submitted by Leika and EllPeaTea)

Sweden digs deep in pursuit of sovereign launch. In an unsettled world, many nations are eager to develop homegrown rockets to place their own satellites into orbit. These up-and-coming spacefaring nations see it as a strategic imperative to break free from total reliance on space powers like Russia, China, and the United States. Still, some decisions are puzzling. This week, the Swedish aerospace and defense contractor Saab announced a $10 million investment in a company named Pythom. If you’re not familiar with this business, allow me to link back to a 2022 story published by Ars about Pythom’s questionable safety practices. The company has kept quiet since then, until the name surprisingly popped up again in a press release from Saab, a firm with a reputation that seems to be diametrically opposed to that of Pythom.

Just enough … The statement from Saab suggests its $10 million contribution to Pythom will make it the “lead investor” in the company’s recent funding round. Pythom hasn’t said anything more about this funding round, but Saab said the investment will accelerate Pythom’s “development and deployment of its launch systems,” which include an initial rocket capable of putting up to 330 pounds (150 kilograms) of payload into low-Earth orbit. $10 million may be just enough to keep Pythom afloat for a couple more years but is far less than the money Pythom would need to get serious about fielding an orbital launcher. Pythom is headquartered in California, but it has Swedish roots. It was founded by the Swedish married couple Tina and Tom Sjögren. The company has a couple dozen employees, and a handful of them are based in Sweden, according to Pythom’s website. (submitted by Leika and EllPeaTea)

China is about to launch an astronaut lifeboat. China is set to launch an uncrewed Shenzhou spacecraft to the Tiangong space station to provide the Shenzhou 21 astronauts with a means of returning home, Space News reports. The launch of China’s Shenzhou 22 mission is scheduled for Monday night, US time, aboard a Long March 2F rocket. Instead of carrying astronauts, the ship will ferry cargo to the Chinese Tiangong space station. More importantly, it will provide a safe ride home for the three astronauts living and working aboard the orbiting outpost.

How did we get here? … The Shenzhou 20 spacecraft currently docked to the Tiangong station was damaged by a suspected piece of space junk, cracking its window and rendering it unable to meet China’s safety standards for returning astronauts to Earth. The damage discovery occurred just before three outgoing crew members were supposed to ride Shenzhou 20 home earlier this month. Instead, those three astronauts departed the station and returned to Earth on the newer, undamaged Shenzhou 21 spacecraft. That left the other three crew members on Tiangong with only the damaged Shenzhou 20 spacecraft to get them home in the event of an emergency. Shenzhou 22 will replace Shenzhou 20, providing a lifeboat for the rest of the crew’s six-month stay in space. (submitted by EllPeaTea)

Atlas V launches for Viasat. United Launch Alliance launched its Atlas V rocket on November 13 with a satellite for the California-based communications company Viasat, Spaceflight Now reports. The launch came a week after the mission was scrubbed due to a faulty liquid oxygen tank vent valve on the Atlas booster. ULA rolled the rocket back to the Vertical Integration Facility, replaced it with a new valve, and returned the rocket to the pad on November 12. The launch the following day was successful, with the Atlas V’s Centaur upper stage deploying the ViaSat-3 F2 spacecraft into a geosynchronous transfer orbit nearly three-and-a-half hours after liftoff from Cape Canaveral Space Force Station, Florida.

End of an era … This was the final launch of an Atlas V rocket with a payload heading for geosynchronous orbit. These are the kinds of missions the Atlas V was designed for more than 25 years ago, but the market has changed. All of the Atlas V’s remaining 11 missions will target low-Earth orbit carrying broadband satellites for Amazon or Boeing’s Starliner spacecraft heading for the International Space Station. The Atlas V will be retired in the coming years in favor of ULA’s new Vulcan rocket.

SpaceX launches key climate change monitor. SpaceX launched a joint NASA-European environmental research satellite early Monday, the second in an ongoing billion-dollar project to measure long-term changes in sea level, a key indicator of climate change, CBS News reports. The first satellite, known as Sentinel-6 and named in honor of NASA climate researcher Michael Freilich, was launched in November 2020. The latest spacecraft, Sentinel-6B, was launched from California atop a Falcon 9 rocket this week. Both satellites are equipped with a sophisticated cloud-penetrating radar. By timing how long it takes beams to bounce back from the ocean 830 miles (1,336 kilometers) below, the Sentinel-6 satellites can track sea levels to an accuracy of about one inch while also measuring wave height and wind speeds. The project builds on earlier missions dating back to the early 1990s that have provided an uninterrupted stream of sea level data.

FAA restrictions lifted … The Federal Aviation Administration lifted a restriction on commercial space operations this week that limited launches and reentries to the late night and early morning hours, Spaceflight Now reports. The FAA imposed a daytime curfew on commercial launches as it struggled to maintain air traffic control during the recent government shutdown. Those restrictions, which did not affect government missions, were lifted Monday. (submitted by EllPeaTea)

Blue Origin’s New Glenn will grow larger. One week after the successful second launch of its large New Glenn booster, Blue Origin revealed a road map on Thursday for upgrades to the rocket, including a new variant with more main engines and a super-heavy lift capability, Ars reports. These upgrades to the rocket are “designed to increase payload performance and launch cadence, while enhancing reliability,” the company said in an update published on its website. The enhancements will be phased in over time, starting with the third launch of New Glenn, which is likely to occur during the first half of 2026.

No timelines … The most significant part of the update concerned an evolution of New Glenn that will transform the booster into a super-heavy lift launch vehicle. The first stage of this evolved vehicle will have nine BE-4 engines instead of seven, and the upper stage will have four BE-3U engines instead of two. In its update, Blue Origin refers to the new vehicle as 9×4 and the current variant as 7×2, a reference to the number of engines in each stage. “New Glenn 9×4 is designed for a subset of missions requiring additional capacity and performance,” the company said. “The vehicle carries over 70 metric tons to low-Earth orbit, over 14 metric tons direct to geosynchronous orbit, and over 20 metric tons to trans-lunar injection. Additionally, the 9×4 vehicle will feature a larger 8.7-meter fairing.” The company did not specify a timeline for the debut of the 9×4 variant. A spokesperson for the company told Ars, “We aren’t disclosing a specific timeframe today. The iterative design from our current 7×2 vehicle means we can build this rocket quickly.”

Recently landed New Glenn returns to port. Blue Origin welcomed “Never Tell Me the Odds” back to Cape Canaveral Space Force Station, Florida, on Thursday, where the rocket booster launched exactly one week prior, Florida Today reports. The New Glenn’s first stage booster landed on Blue Origin’s offshore recovery barge, which returned it to Port Canaveral on Tuesday with great fanfare. Blue Origin’s founder, Jeff Bezos, rode the barge into port, posing for photos with the rocket and waving to onlookers viewing the spectacle from a nearby public pier. The rocket was lowered horizontally late Wednesday morning, as spectators watched alongside the restaurants and fishing boats at the port.

Through the gates … Officials from Blue Origin guided the 188-foot-long New Glenn booster to the Space Force station Thursday, making Blue Origin the only company besides SpaceX to return a space-flown booster through the gates. Once back at Blue Origin’s hangar, the rocket will undergo inspections and refurbishment for a second flight, perhaps early next year. “I could not be more excited to see the New Glenn launch, and Blue Origin recover that booster and bring it back,” Col. Brian Chatman, commander of Space Launch Delta 45, told Florida Today. “It’s all part of our certification process and campaign to certify more national security space launch providers, launch carriers, to get our most crucial satellites up on orbit.”

Meanwhile, down at Starbase. SpaceX rolled the first of its third-generation Super Heavy boosters out of the factory at Starbase, Texas, this week for a road trip to a nearby test site, according to NASASpaceflight.com. The booster rode SpaceX’s transporter from the factory a few miles down the road to Massey’s Test Site, where technicians prepared the rocket for cryogenic proof testing. However, during the initial phases of testing, the booster failed early on Friday morning.

Tumbling down … At the Starship launch site, ground teams are busy tearing down the launch mount at Pad 1, the departure point for all of SpaceX’s Starships to date. SpaceX will upgrade the pad for its next-generation, more powerful Super Heavy boosters, while Starship V3’s initial flights will take off from Pad 2, a few hundred meters away from Pad 1.

Next three launches

Nov. 22: Falcon 9 | Starlink 6-79 | Cape Canaveral Space Force Station, Florida | 06: 59 UTC

Nov. 23: Falcon 9 | Starlink 11-30 | Vandenberg Space Force Base, California | 08: 00 UTC

Nov. 25: Long March 2F | Shenzhou 22 | Jiuquan Satellite Launch Center, China | 04: 11 UTC

Stephen Clark is a space reporter at Ars Technica, covering private space companies and the world’s space agencies. Stephen writes about the nexus of technology, science, policy, and business on and off the planet.

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Flying with whales: Drones are remaking marine mammal research

Drones, marine life, marine mammals, marine research, Science, syndication, Tech, whales / Kelly Newman / November 20, 2025

In 2010, the Deepwater Horizon oil rig exploded in the Gulf of Mexico, causing one of the largest marine oil spills ever. In the aftermath of the disaster, whale scientist Iain Kerr traveled to the area to study how the spill had affected sperm whales, aiming specialized darts at the animals to collect pencil eraser-sized tissue samples.

It wasn’t going well. Each time his boat approached a whale surfacing for air, the animal vanished beneath the waves before he could reach it. “I felt like I was playing Whac-A-Mole,” he says.

As darkness fell, a whale dove in front of Kerr and covered him in whale snot. That unpleasant experience gave Kerr, who works at the conservation group Ocean Alliance, an idea: What if he could collect that same snot by somehow flying over the whale? Researchers can glean much information from whale snot, including the animal’s DNA sequence, its sex, whether it is pregnant, and the makeup of its microbiome.

After many experiments, Kerr’s idea turned into what is today known as the SnotBot: a drone fitted with six petri dishes that collect a whale’s snot by flying over the animal as it surfaces and exhales through its blowhole. Today, drones like this are deployed to gather snot all over the world, and not just from sperm whales: They’re also collecting this scientifically valuable mucus from other species, such as blue whales and dolphins. “I would say drones have changed my life,” says Kerr.

S’not just mucus

Gathering snot is one of many ways that drones are being used to study whales. In the past 10 to 15 years, drone technology has made great strides, becoming affordable and easy to use. This has been a boon for researchers. Scientists “are finding applications for drones in virtually every aspect of marine mammal research,” says Joshua Stewart, an ecologist at the Marine Mammal Institute at Oregon State University.

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Study: Kids’ drip paintings more like Pollock’s than those of adults

art and science, culture, fluid dynamics, fractals in art, Jackson Pollock, Science / 9u50fv / November 20, 2025

Taylor thought there might be a way to put this new hypothesis to the test, particularly in light of numerous experimental studies showing the prevalence of fractals in human physiology: walking, dancing, martial arts, and balancing motion, such as postural sway while standing. “Let’s think about that balance mechanism,” he said. “You go off-balance, you’re swaying around, so you’ve got big sways mixed in with smaller and smaller and smaller sways. It’s a multi-scale thing.”

Drip, drip, drip

Serendipitously, Taylor even had a built-in laboratory environment in which to conduct such experiments: the public “Dripfests” he regularly organized, in which both adults and children had the opportunity to create their own Pollock-like artworks by splattering diluted paint on sheets of paper on the floor. Life changes intervened before Taylor could implement the experiment, and the concept got pushed to the back burner. But he revived it a few years ago.

The study subjects were 18 children between the ages of four and six, and 34 adults ages 18 to 25. The age discrepancy was crucial, since those two groups are at markedly different stages of biomechanical balance development. And this time around, Taylor and his co-authors didn’t just look at the fractal dimensions of the resulting paintings, i.e., measuring the self-similar scaling behavior of the splatter patterns. They also looked at something called “lacunarity,” examining the variations in the gaps between paint clusters.

The results: Splatter paintings by adults had higher paint densities and wider, more varied paint trajectories. The children’s paintings had smaller fine-scale patterns, more gaps between paint clusters, and simpler one-dimensional trajectories that didn’t change direction nearly as often. “They both have coarse-scale motions, but the adults have lots of fine-scale structure,” said Taylor. “Not only did the kids have less fine structure, the fine structure they did have was very clumpy, while the adults’ fine structure was very uniform. So when the person is moving and how they regain their balance, we think it’s to do with how much structure there is at these different scales and how uniform it is.”

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DeepMind’s latest: An AI for handling mathematical proofs

AI, Computer science, International Mathematical Olympiad, math, proofs, Science / Shannon Garcia / November 19, 2025

AlphaProof can handle math challenges but needs a bit of help right now.

Computers are extremely good with numbers, but they haven’t gotten many human mathematicians fired. Until recently, they could barely hold their own in high school-level math competitions.

But now Google’s DeepMind team has built AlphaProof, an AI system that matched silver medalists’ performance at the 2024 International Mathematical Olympiad, scoring just one point short of gold at the most prestigious undergrad math competition in the world. And that’s kind of a big deal.

True understanding

The reason computers fared poorly in math competitions is that, while they far surpass humanity’s ability to perform calculations, they are not really that good at the logic and reasoning that is needed for advanced math. Put differently, they are good at performing calculations really quickly, but they usually suck at understanding why they’re doing them. While something like addition seems simple, humans can do semi-formal proofs based on definitions of addition or go for fully formal Peano arithmetic that defines the properties of natural numbers and operations like addition through axioms.

To perform a proof, humans have to understand the very structure of mathematics. The way mathematicians build proofs, how many steps they need to arrive at the conclusion, and how cleverly they design those steps are a testament to their brilliance, ingenuity, and mathematical elegance. “You know, Bertrand Russel published a 500-page book to prove that one plus one equals two,” says Thomas Hubert, a DeepMind researcher and lead author of the AlphaProof study.

DeepMind’s team wanted to develop an AI that understood math at this level. The work started with solving the usual AI problem: the lack of training data.

Math problems translator

Large language models that power AI systems like Chat GPT learn from billions upon billions of pages of text. Because there are texts on mathematics in their training databases—all the handbooks and works of famous mathematicians—they show some level of success in proving mathematical statements. But they are limited by how they operate: They rely on using huge neural nets to predict the next word or token in sequences generated in response to user prompts. Their reasoning is statistical by design, which means they simply return answers that “sound” right.

DeepMind didn’t need the AI to “sound” right—that wasn’t going to cut it in high-level mathematics. They needed their AI to “be” right, to guarantee absolute certainty. That called for an entirely new, more formalized training environment. To provide that, the team used a software package called Lean.

Lean is a computer program that helps mathematicians write precise definitions and proofs. It relies on a precise, formal programming language that’s also called Lean, which mathematical statements can be translated into. Once the translated or formalized statement is uploaded to the program, it can check if it is correct and get back with responses like “this is correct,” “something is missing,” or “you used a fact that is not proved yet.”

The problem was, most mathematical statements and proofs that can be found online are written in natural language like “let X be the set of natural numbers that…”—the number of statements written in Lean was rather limited. “The major difficulty of working with formal languages is that there’s very little data,” Hubert says. To go around it, the researchers trained a Gemini large language model to translate mathematical statements from natural language to Lean. The model worked like an automatic formalizer and produced about 80 million formalized mathematical statements.

It wasn’t perfect, but the team managed to use that to their advantage. “There are many ways you can capitalize on approximate translations,” Hubert claims.

Learning to think

The idea DeepMind had for the AlphaProof was to use the architecture the team used in their chess-, Go-, and shogi-playing AlphaZero AI system. Building proofs in Lean and Mathematics in general was supposed to be just another game to master. “We were trying to learn this game through trial and error,” Hubert says. Imperfectly formalized problems offered great opportunity for making errors. In its learning phase, AlphaProof was simply proving and disproving the problems it had in its database. If something was translated poorly, figuring out that something wasn’t right was a useful form of exercise.

Just like AlphaZero, AlphaProof in most cases used two main components. The first was a huge neural net with a few billion parameters that learned to work in the Lean environment through trial and error. It was rewarded for each proven or disproven statement and penalized for each reasoning step it took, which was a way of incentivizing short, elegant proofs.

It was also trained to use a second component, which was a tree search algorithm. This explored all possible actions that could be taken to push the proof forward at each step. Because the number of possible actions in mathematics can be near infinite, the job of the neural net was to look at the available branches in the search tree and commit computational budget only to the most promising ones.

After a few weeks of training, the system could score well on most math competition benchmarks based on problems sourced from past high school-level competitions, but it still struggled with the most difficult of them. To tackle these, the team added a third component that hadn’t been in AlphaZero. Or anywhere else.

Spark of humanity

The third component, called Test-Time Reinforcement Learning (TTRL), roughly emulated the way mathematicians approach the most difficult problems. The learning part relied on the same combination of neural nets with search tree algorithms. The difference came in what it learned from. Instead of relying on a broad database of auto-formalized problems, AlphaProof working in the TTRL mode started its work by generating an entirely new training dataset based on the problem it was dealing with.

The process involved creating countless variations of the original statement, some simplified a little bit more, some more general, and some only loosely connected to it. The system then attempted to prove or disprove them. It was roughly what most humans do when they’re facing a particularly hard puzzle, the AI equivalent of saying, “I don’t get it, so let’s try an easier version of this first to get some practice.” This allowed AlphaProof to learn on the fly, and it worked amazingly well.

At the 2024 International Mathematics Olympiad, there were 42 points to score for solving six different problems worth seven points each. To win gold, participants had to get 29 points or higher, and 58 out of 609 of them did that. Silver medals were awarded to people who earned between 22 and 28 points (there were 123 silver medalists). The problems varied in difficulty, with the sixth one, acting as a “final boss,” being the most difficult of them all. Only six participants managed to solve it. AlphaProof was the seventh.

But AlphaProof wasn’t an end-all, be-all mathematical genius. Its silver had its price—quite literally.

Optimizing ingenuity

The first problem with AlphaProof’s performance was that it didn’t work alone. To begin with, humans had to make the problems compatible with Lean before the software even got to work. And, among the six Olympic problems, the fourth one was about geometry, and the AI was not optimized for that. To deal with it, AlphaProof had to call a friend called AlphaGeometry 2, a geometry-specialized AI that ripped through the task in a few minutes without breaking a sweat. On its own, AlphaProof scored 21 points, not 28, so technically it would win bronze, not silver. Except it wouldn’t.

Human participants of the Olympiad had to solve their six problems in two sessions, four-and-a-half hours long. AlphaProof, on the other hand, wrestled with them for several days using multiple tensor processing units at full throttle. The most time- and energy-consuming component was TTRL, which battled with the three problems it managed to solve for three days each. If AlphaProof was held up to the same standard as human participants, it would basically run out of time. And if it wasn’t born at a tech giant worth hundreds of billions of dollars, it would run out of money, too.

In the paper, the team admits the computational requirements to run AlphaProof are most likely cost-prohibitive for most research groups and aspiring mathematicians. Computing power in AI applications is often measured in TPU-days, meaning a tensor processing unit working flat-out for a full day. AlphaProof needed hundreds of TPU-days per problem.

On top of that, the International Mathematics Olympiad is a high school-level competition, and the problems, while admittedly difficult, were based on things mathematicians already know. Research-level math requires inventing entirely new concepts instead of just working with existing ones.

But DeepMind thinks it can overcome these hurdles and optimize AlphaProof to be less resource-hungry. “We don’t want to stop at math competitions. We want to build an AI system that could really contribute to research-level mathematics,” Hubert says. His goal is to make AlphaProof available to the broader research community. “We’re also releasing a kind of an AlphaProof tool,” he added. “It would be a small trusted testers program to see if this would be useful to mathematicians.”

Nature, 2025. DOI: 10.1038/s41586-025-09833-y

Jacek Krywko is a freelance science and technology writer who covers space exploration, artificial intelligence research, computer science, and all sorts of engineering wizardry.

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How Louvre thieves exploited human psychology to avoid suspicion—and what it reveals about AI

AI, heist, Louvre, Science, syndication / 9u50fv / November 19, 2025

On a sunny morning on October 19 2025, four men allegedly walked into the world’s most-visited museum and left, minutes later, with crown jewels worth 88 million euros ($101 million). The theft from Paris’ Louvre Museum—one of the world’s most surveilled cultural institutions—took just under eight minutes.

Visitors kept browsing. Security didn’t react (until alarms were triggered). The men disappeared into the city’s traffic before anyone realized what had happened.

Investigators later revealed that the thieves wore hi-vis vests, disguising themselves as construction workers. They arrived with a furniture lift, a common sight in Paris’s narrow streets, and used it to reach a balcony overlooking the Seine. Dressed as workers, they looked as if they belonged.

This strategy worked because we don’t see the world objectively. We see it through categories—through what we expect to see. The thieves understood the social categories that we perceive as “normal” and exploited them to avoid suspicion. Many artificial intelligence (AI) systems work in the same way and are vulnerable to the same kinds of mistakes as a result.

The sociologist Erving Goffman would describe what happened at the Louvre using his concept of the presentation of self: people “perform” social roles by adopting the cues others expect. Here, the performance of normality became the perfect camouflage.

The sociology of sight

Humans carry out mental categorization all the time to make sense of people and places. When something fits the category of “ordinary,” it slips from notice.

AI systems used for tasks such as facial recognition and detecting suspicious activity in a public area operate in a similar way. For humans, categorization is cultural. For AI, it is mathematical.

But both systems rely on learned patterns rather than objective reality. Because AI learns from data about who looks “normal” and who looks “suspicious,” it absorbs the categories embedded in its training data. And this makes it susceptible to bias.

The Louvre robbers weren’t seen as dangerous because they fit a trusted category. In AI, the same process can have the opposite effect: people who don’t fit the statistical norm become more visible and over-scrutinized.

It can mean a facial recognition system disproportionately flags certain racial or gendered groups as potential threats while letting others pass unnoticed.

A sociological lens helps us see that these aren’t separate issues. AI doesn’t invent its categories; it learns ours. When a computer vision system is trained on security footage where “normal” is defined by particular bodies, clothing, or behavior, it reproduces those assumptions.

Just as the museum’s guards looked past the thieves because they appeared to belong, AI can look past certain patterns while overreacting to others.

Categorization, whether human or algorithmic, is a double-edged sword. It helps us process information quickly, but it also encodes our cultural assumptions. Both people and machines rely on pattern recognition, which is an efficient but imperfect strategy.

A sociological view of AI treats algorithms as mirrors: They reflect back our social categories and hierarchies. In the Louvre case, the mirror is turned toward us. The robbers succeeded not because they were invisible, but because they were seen through the lens of normality. In AI terms, they passed the classification test.

From museum halls to machine learning

This link between perception and categorization reveals something important about our increasingly algorithmic world. Whether it’s a guard deciding who looks suspicious or an AI deciding who looks like a “shoplifter,” the underlying process is the same: assigning people to categories based on cues that feel objective but are culturally learned.

When an AI system is described as “biased,” this often means that it reflects those social categories too faithfully. The Louvre heist reminds us that these categories don’t just shape our attitudes, they shape what gets noticed at all.

After the theft, France’s culture minister promised new cameras and tighter security. But no matter how advanced those systems become, they will still rely on categorization. Someone, or something, must decide what counts as “suspicious behavior.” If that decision rests on assumptions, the same blind spots will persist.

The Louvre robbery will be remembered as one of Europe’s most spectacular museum thefts. The thieves succeeded because they mastered the sociology of appearance: They understood the categories of normality and used them as tools.

And in doing so, they showed how both people and machines can mistake conformity for safety. Their success in broad daylight wasn’t only a triumph of planning. It was a triumph of categorical thinking, the same logic that underlies both human perception and artificial intelligence.

The lesson is clear: Before we teach machines to see better, we must first learn to question how we see.

Vincent Charles, Reader in AI for Business and Management Science, Queen’s University Belfast, and Tatiana Gherman, Associate Professor of AI for Business and Strategy, University of Northampton. This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Ancient Egyptians likely used opiates regularly

ancient egypt, Archaeology, chemistry, opiates, pharmacology, Science / Kelly Newman / November 17, 2025

Scientists have found traces of ancient opiates in the residue lining an Egyptian alabaster vase, indicating that opiate use was woven into the fabric of the culture. And the Egyptians didn’t just indulge occasionally: according to a paper published in the Journal of Eastern Mediterranean Archaeology, opiate use may have been a fixture of daily life.

In recent years, archaeologists have been applying the tools of pharmacology to excavated artifacts in collections around the world. As previously reported, there is ample evidence that humans in many cultures throughout history used various hallucinogenic substances in religious ceremonies or shamanic rituals. That includes not just ancient Egypt but also ancient Greek, Vedic, Maya, Inca, and Aztec cultures. The Urarina people who live in the Peruvian Amazon Basin still use a psychoactive brew called ayahuasca in their rituals, and Westerners seeking their own brand of enlightenment have also been known to participate.

For instance, in 2023, David Tanasi, of the University of South Florida, posted a preprint on his preliminary analysis of a ceremonial mug decorated with the head of Bes, a popular deity believed to confer protection on households, especially mothers and children. After collecting sample residues from the vessel, Tanasi applied various techniques—including proteomic and genetic analyses and synchrotron radiation-based Fourier-transform infrared microspectroscopy—to characterize the residues.

Tanasi found traces of Syrian rue, whose seeds are known to have hallucinogenic properties that can induce dream-like visions, per the authors, thanks to its production of the alkaloids harmine and harmaline. There were also traces of blue water lily, which contains a psychoactive alkaloid that acts as a sedative, as well as a fermented alcoholic concoction containing yeasts, wheat, sesame seeds, fruit (possibly grapes), honey, and, um, “human fluids”: possibly breast milk, oral or vaginal mucus, and blood. A follow-up 2024 study confirmed those results and also found traces of pine nuts or Mediterranean pine oil; licorice; tartaric acid salts that were likely part of the aforementioned alcoholic concoction; and traces of spider flowers known to have medicinal properties.

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The evolution of rationality: How chimps process conflicting evidence

Behavioral science, beliefs, Biology, chimps, evolution, Science / Beth Washington / November 16, 2025

In the first step, the chimps got the auditory evidence, the same rattling sound coming from the first container. Then, they received indirect visual evidence: a trail of peanuts leading to the second container. At this point, the chimpanzees picked the first container, presumably because they viewed the auditory evidence as stronger. But then the team would remove a rock from the first container. The piece of rock suggested that it was not food that was making the rattling sound. “At this point, a rational agent should conclude, ‘The evidence I followed is now defeated and I should go for the other option,’” Engelmann told Ars. “And that’s exactly what the chimpanzees did.”

The team had 20 chimpanzees participating in all five experiments, and they followed the evidence significantly above chance level—in about 80 percent of the cases. “At the individual level, about 18 out of 20 chimpanzees followed this expected pattern,” Engelmann claims.

He views this study as one of the first steps to learn how rationality evolved and when the first sparks of rational thought appeared in nature. “We’re doing a lot of research to answer exactly this question,” Engelmann says.

The team thinks rationality is not an on/off switch; instead, different animals have different levels of rationality. “The first two experiments demonstrate a rudimentary form of rationality,” Engelmann says. “But experiments four and five are quite difficult and show a more advanced form of reflective rationality I expect only chimps and maybe bonobos to have.”

In his view, though, humans are still at least one level above the chimps. “Many people say reflective rationality is the final stage, but I think you can go even further. What humans have is something I would call social rationality,” Engelmann claims. “We can discuss and comment on each other’s thinking and in that process make each other even more rational.”

Sometimes, at least in humans, social interactions can also increase our irrationality instead. But chimps don’t seem to have this problem. Engelmann’s team is currently running a study focused on whether the choices chimps make are influenced by the choices of their fellow chimps. “The chimps only followed the other chimp’s decision when the other chimp had better evidence,” Engelmann says. “In this sense, chimps seem to be more rational than humans.”

Science, 2025. DOI: 10.1126/science.aeb7565

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Wyoming dinosaur mummies give us a new view of duck-billed species

Biology, dinosaurs, duck-billed dinosaurs, fossils, paleontology, Science / 9u50fv / November 15, 2025

Exquisitely preserved fossils come from a single site in Wyoming.

The scaly skin of a crest over the back of the juvenile duck-billed dinosaur Edmontosaurus annectens. Credit: Tyler Keillor/Fossil Lab

Edmontosaurus annectens, a large herbivore duck-billed dinosaur that lived toward the end of the Cretaceous period, was discovered back in 1908 in east-central Wyoming by C.H. Sternberg, a fossil collector. The skeleton, later housed at the American Museum of Natural History in New York and nicknamed the “AMNH mummy,” was covered by scaly skin imprinted in the surrounding sediment that gave us the first approximate idea of what the animal looked like.

More than a century later, a team of paleontologists led by Paul C. Sereno, a professor of organismal biology at the University of Chicago, got back to the same exact place where Sternberg dug up the first Edmontosaurus specimen. The researchers found two more Edmontosaurus mummies with all fleshy external anatomy imprinted in a sub-millimeter layer of clay. For the first time, we uncovered an accurate image of what Edmontosaurus really looked like, down to the tiniest details, like the size of its scales and the arrangement of spikes on its tail. And we were in for at least a few surprises.

Evolving images

Our view of Edmontosaurus changed over time, even before Sereno’s study. The initial drawing of Edmontosaurus was made in 1909 by Charles R. Knight, a famous paleoartist, who based his visualization on the first specimen found by Sternberg. “He was accurate in some ways, but he made a mistake in that he drew the crest extending throughout the entire length of the body,” Sereno says. The mummy Knight based his drawing on had no tail, so understandably, the artist used his imagination to fill in the gaps and made the Edmontosaurus look a little bit like a dragon.

An update to Knight’s image came in 1984 due to Jack Horner, one of the most influential American paleontologists, who found a section of Edmontosaurus tail that had spikes instead of a crest. “The specimen was not prepared very accurately, so he thought the spikes were rectangular and didn’t touch each other,” Sereno explains. “In his reconstruction he extended the spikes from the tail all the way to the head—which was wrong,” Sereno says. Over time, we ended up with many different, competing visions of Edmontosaurus. “But I think now we finally nailed down the way it truly looked,” Sereno claims.

To nail it down, Sereno’s team retraced the route to where Sternberg found the first Edmontosaurus mummy. This was not easy, because the team had to rely on Sternberg’s notes, which often referred to towns and villages that were no longer on the map. But based on interviews with Wyoming farmers, Sereno managed to reach the “mummy zone,” an area less than 10 kilometers in diameter, surprisingly abundant in Cretaceous fossils.

“To find dinosaurs, you need to understand geology,” Sereno says. And in the “mummy zone,” geological processes created something really special.

Dinosaur templating

The fossils are found in part of the Lance Formation, a geological formation that originated in the last three or so million years of the Cretaceous period, just before the dinosaurs’ extinction. It extends through North Dakota, South Dakota, Wyoming, Montana, and even to parts of Canada. “The formation is roughly 200 meters thick. But when you approach the mummy zone—surprise! The formation suddenly goes up to a thousand meters thick,” Sereno says. “The sedimentation rate in there was very high for some reason.”

Sereno thinks the most likely reason behind the high sedimentation rate was frequent and regular flooding of the area by a nearby river. These floods often drowned the unfortunate dinosaurs that roamed there and covered their bodies with mud and clay that congealed against a biofilm which formed at the surface of decaying carcasses. “It’s called clay templating, where the clay sticks to the outside of the skin and preserves a very thin layer, a mask, showing how the animal looked like,” Sereno says.

Clay templating is a process well-known by scientists studying deep-sea invertebrate organisms because that’s the only way they can be preserved. “It’s just no one ever thought it could happen to a large dinosaur buried in a river,” Sereno says. But it’s the best explanation for the Wyoming mummy zone, where Sereno’s team managed to retrieve two more Edmontosaurus skeletons surrounded by clay masks under 1 millimeter thick. These revealed the animal’s appearance with amazing, life-like accuracy.

As a result, the Edmontosaurus image got updated one more time. And some of the updates were rather striking.

Delicate elephants

Sereno’s team analyzed the newly discovered Edmontosaurus mummies with a barrage of modern imaging techniques like CT scans, X-rays, photogrammetry, and more. “We created a detailed model of the skin and wrapped it around the skeleton—some of these technologies were not even available 10 years ago,” Sereno says. The result was an updated Edmontosaurus image that includes changes to the crest, the spikes, and the appearance of its skin. Perhaps most surprisingly, it adds hooves to its legs.

It turned out both Knight and Horner were partially right about the look of Edmontosaurus’ back. The fleshy crest, as depicted by Knight, indeed started at the top of the head and extended rearward along the spine. The difference was that there was a point where this crest changed into a row of spikes, as depicted in the Horner version. The spikes were similar to the ones found on modern chameleons, where each spike corresponds one-to-one with the vertebrae underneath it.

“Another thing that was stunning in Edmontosaurus was the small size of its scales,” Sereno says. Most of the scales were just 1 to 4 millimeters across. They grew slightly larger toward the bottom of the tail, but even there they did not exceed 1 centimeter. “You can find such scales on a lizard, and we’re talking about an animal the size of an elephant,” Sereno adds. The skin covered with these super-tiny scales was also incredibly thin, which the team deduced from the wrinkles they found in their imagery.

And then came the hooves. “In a hoof, the nail goes around the toe and wraps, wedge-shaped, around its bottom,” Sereno explains. The Edmontosaurus had singular, central hooves on its fore legs with a “frog,” a triangular, rubbery structure at the underside. “They looked very much like equine hooves, so apparently these were not invented by mammals,” Sereno says. “Dinosaurs had them.” The hind legs that supported most of the animal’s weight, on the other hand, had three wedge-shaped hooves wrapped around three digits and a fleshy heel toward the back—a structure found in modern-day rhinos.

“There are so many amazing ‘firsts’ preserved in these duck-billed mummies,” Sereno says. “The earliest hooves were documented in a land vertebrate, the first confirmed hooved reptile, and the first hooved four-legged animal with different forelimb and hindlimb posture.” But Edmontosaurus, while first in many aspects, was not the last species Sereno’s team found in the mummy zone.

Looking for wild things

“When I was walking through the grass in the mummy zone for the first time, the first hill I found a T. rex in a concretion. Another mummy we found was a Triceratops,” Sereno says. Both these mummies are currently being examined and will be covered in the upcoming papers published by Sereno’s team. And both are unique in their own way.

The T. rex mummy was preserved in a surprisingly life-like pose, which Sereno thinks indicates the predator might have been buried alive. Edmontosaurus mummies, on the other hand, were positioned in a death pose, which meant the animals most likely died up to a week before the mud covered their carcasses. This, in principle, should make the T. rex clay mask even more true-to-life, since there should be no need to account for desiccation and decay when reconstructing the animal’s image.

Sereno, though, seems to be even more excited about the Triceratops mummy. “We already found Triceratops scales were 10 times larger than the largest scales on the Edmontosaurus, and its skin had no wrinkles, so it was significantly thicker. And we’re talking about animals of similar size living in the same area and in the same time,” Sereno says. To him, this could indicate that the physiology of the Triceratops and Edmontosaurus was radically different.

“We are in the age of discovery. There are so many things to come. It’s just the beginning,” Sereno says. “Anyway, the next two mummies we want to cover are the Triceratops and the T. Rex. And I can already tell you what we have with the Triceratops is wild,” he adds.

Science, 2025. DOI: 10.1126/science.adw3536

Jacek Krywko is a freelance science and technology writer who covers space exploration, artificial intelligence research, computer science, and all sorts of engineering wizardry.

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Three astronauts are stuck on China’s space station without a safe ride home

china, chinese space station, human spaceflight, Science, shenzhou, shenzhou 20, shenzhou 21, Space, tiangong / 9u50fv / November 14, 2025

This view shows a Shenzhou spacecraft departing the Tiangong space station in 2023. Credit: China Manned Space Agency

Swapping spacecraft in low-Earth orbit

With their original spacecraft deemed unsafe, Chen and his crewmates instead rode back to Earth on the newer Shenzhou 21 craft that launched and arrived at the Tiangong station October 31. The three astronauts who launched on Shenzhou 21—Zhang Lu, Wu Fei, and Zhang Hongzhang—remain aboard the nearly 100-metric ton space station with only the damaged Shenzhou 20 craft available to bring them home.

China’s line of Shenzhou spaceships not only provide transportation to and from low-Earth orbit, they also serve as lifeboats to evacuate astronauts from the Chinese space station in the event of an in-flight emergency, such as major failures or a medical crisis. They serve the same role as Russian Soyuz and SpaceX Crew Dragon vehicles flying to and from the International Space Station.

Another Shenzhou spacecraft, Shenzhou 22, “will be launched at a later date,” the China Manned Space Agency said in a statement. Shenzhou 20 will remain in orbit to “continue relevant experiments.” The Tiangong lab is designed to support crews of six for only short periods of time, with longer stays of three astronauts.

Officials have not disclosed when Shenzhou 22 might launch, but Chinese officials typically have a Long March rocket and Shenzhou spacecraft on standby for rapid launch if required. Instead of astronauts, Shenzhou 22 will ferry fresh food and equipment to sustain the three-man crew on the Tiangong station.

China’s state-run Xinhua news agency called Friday’s homecoming “the first successful implementation of an alternative return procedure in the country’s space station program history.”

The shuffling return schedules and damaged spacecraft at the Tiangong station offer a reminder of the risks of space junk, especially tiny debris fragments that elude detection from tracking telescopes and radars. A minuscule piece of space debris traveling at several miles per second can pack a punch. Crews at the Tiangong outpost ventured outside the station multiple times in the last few years to install space debris shielding to protect the outpost.

Astronaut Tim Peake took this photo of a cracked window on the International Space Station in 2016. The 7-millimeter (quarter-inch) divot on the quadruple-pane window was gouged out by an impact of space debris no larger than a few thousandths of a millimeter across. The damage did not pose a risk to the station. Credit: ESA/NASA

Shortly after landing Friday, ground teams assisted the Shenzhou astronauts out of their landing module. All three appeared to be in good health and buoyant spirits after completing the longest-duration crew mission in the history of China’s space program.

“Space exploration has never been easy for humankind,” said Chen Dong, the mission commander, according to Chinese state media.

“This mission was a true test, and we are proud to have completed it successfully,” Chen said shortly after landing. “China’s space program has withstood the test, with all teams delivering outstanding performances … This experience has left us a profound impression that astronauts’ safety is really prioritized.”

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World’s oldest RNA extracted from ice age woolly mammoth

ancient DNA, ancient RNA, Biology, evolution, Genomics, mammoths, paleontology, Science / Beth Washington / November 14, 2025

A young woolly mammoth now known as Yuka was frozen in the Siberian permafrost for about 40,000 years before it was discovered by local tusk hunters in 2010. The hunters soon handed it over to scientists, who were excited to see its exquisite level of preservation, with skin, muscle tissue, and even reddish hair intact. Later research showed that, while full cloning was impossible, Yuka’s DNA was in such good condition that some cell nuclei could even begin limited activity when placed inside mouse eggs.

Now, a team has successfully sequenced Yuka’s RNA—a feat many researchers once thought impossible. Researchers at Stockholm University carefully ground up bits of muscle and other tissue from Yuka and nine other woolly mammoths, then used special chemical treatments to pull out any remaining RNA fragments, which are normally thought to be much too fragile to survive even a few hours after an organism has died. Scientists go to great lengths to extract RNA even from fresh samples, and most previous attempts with very old specimens have either failed or been contaminated.

A different view

The team used RNA-handling methods adapted for ancient, fragmented molecules. Their scientific séance allowed them to explore information that had never been accessible before, including which genes were active when Yuka died. In the creature’s final panicked moments, its muscles were tensing and its cells were signaling distress—perhaps unsurprising since Yuka is thought to have died as a result of a cave lion attack.

It’s an exquisite level of detail, and one that scientists can’t get from just analyzing DNA. “With RNA, you can access the actual biology of the cell or tissue happening in real time within the last moments of life of the organism,” said Emilio Mármol, a researcher who led the study. “In simple terms, studying DNA alone can give you lots of information about the whole evolutionary history and ancestry of the organism under study. “Obtaining this fragile and mostly forgotten layer of the cell biology in old tissues/specimens, you can get for the first time a full picture of the whole pipeline of life (from DNA to proteins, with RNA as an intermediate messenger).”

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