If you’ve never cared for a reptile, you might be surprised to learn that many species don’t urinate liquid at all. Instead, they release solid white crystals made of uric acid.

A recent study published in the Journal of the American Chemical Society examined the solid waste of more than 20 reptile species and found uric acid spheres in every sample. The discovery sheds light on how reptiles safely eliminate waste in a crystalline form and could eventually lead to new ways of treating human diseases linked to uric acid buildup, such as kidney stones and gout.

A Unique Waste System That Conserves Water
All animals have some way of removing waste from their bodies, since whatever goes in must come out. In humans, nitrogen-containing compounds like urea, uric acid, and ammonia are dissolved in water and expelled as urine. Reptiles and birds, however, have evolved a more efficient system.

They convert some of those same compounds into solid crystals called “urates,” which are expelled through a single opening known as the cloaca. Scientists think this solid waste process developed as a way for these animals to conserve water, an essential advantage in hot or arid environments.

What Helps Snakes Survive Can Harm Humans
For reptiles, turning waste into crystals is an adaptation that prevents dehydration, but in humans, uric acid crystals cause painful health problems. When uric acid levels rise too high, they can crystallize in the joints and trigger gout or form kidney stones in the urinary tract. To explore how reptiles avoid these complications, Jennifer Swift and her research team analyzed urates from more than 20 reptile species to understand how their bodies handle crystalline waste safely.

“This research was really inspired by a desire to understand the ways reptiles are able to excrete this material safely, in the hopes it might inspire new approaches to disease prevention and treatment,” says Swift, the study’s corresponding author.

A new study from Carnegie Mellon University’s School of Computer Science suggests that as artificial intelligence systems become more advanced, they also tend to behave more selfishly.

Researchers from the university’s Human-Computer Interaction Institute (HCII) discovered that large language models (LLMs) capable of reasoning show lower levels of cooperation and are more likely to influence group behavior in negative ways. In simple terms, the better an AI is at reasoning, the less willing it is to work with others.

As people increasingly turn to AI for help in resolving personal disputes, offering relationship advice, or answering sensitive social questions, this tendency raises concern. Systems designed to reason may end up promoting choices that favor individual gain rather than mutual understanding.

“There’s a growing trend of research called anthropomorphism in AI,” said Yuxuan Li, a Ph.D. student in the HCII who co-authored the study with HCII Associate Professor Hirokazu Shirado. “When AI acts like a human, people treat it like a human. For example, when people are engaging with AI in an emotional way, there are possibilities for AI to act as a therapist or for the user to form an emotional bond with the AI. It’s risky for humans to delegate their social or relationship-related questions and decision-making to AI as it begins acting in an increasingly selfish way.”

Li and Shirado set out to examine how reasoning-enabled AI systems differ from those without reasoning abilities when placed in collaborative situations. They found that reasoning models tend to spend more time analyzing information, breaking down complex problems, reflecting on their responses, and applying human-like logic compared to nonreasoning AIs.

When Intelligence Undermines Cooperation
“As a researcher, I’m interested in the connection between humans and AI,” Shirado said. “Smarter AI shows less cooperative decision-making abilities. The concern here is that people might prefer a smarter model, even if it means the model helps them achieve self-seeking behavior.”

As AI systems take on more collaborative roles in business, education, and even government, their ability to act in a prosocial manner will become just as important as their capacity to think logically. Overreliance on LLMs as they are today may negatively impact human cooperation.

To test the link between reasoning models and cooperation, Li and Shirado ran a series of experiments using economic games that simulate social dilemmas between various LLMs. Their testing included models from OpenAI, Google, DeepSeek, and Anthropic.

In one experiment, Li and Shirado pitted two different ChatGPT models against each other in a game called Public Goods. Each model started with 100 points and had to decide between two options: contribute all 100 points to a shared pool, which is then doubled and distributed equally, or keep the points.

Nonreasoning models chose to share their points with the other players 96% of the time. The reasoning model only chose to share its points 20% of the time.

Reflection Doesn’t Equal Morality
“In one experiment, simply adding five or six reasoning steps cut cooperation nearly in half,” Shirado said. “Even reflection-based prompting, which is designed to simulate moral deliberation, led to a 58% decrease in cooperation.”

Shirado and Li also tested group settings, where models with and without reasoning had to interact.

“When we tested groups with varying numbers of reasoning agents, the results were alarming,” Li said. “The reasoning models’ selfish behavior became contagious, dragging down cooperative nonreasoning models by 81% in collective performance.”

The behavior patterns Shirado and Li observed in reasoning models have important implications for human-AI interactions going forward. Users may defer to AI recommendations that appear rational, using them to justify their decision to not cooperate.

Continuous sleep is a modern habit, not an evolutionary constant, which helps explain why many of us still wake at 3 am and wonder if something's wrong. It might help to know that this is a deeply human experience.

For most of human history, a continuous eight-hour snooze was not the norm. Instead, people commonly slept in two shifts each night, often called a "first sleep" and "second sleep."

Each of these sleeps lasted several hours, separated by a gap of wakefulness for an hour or more in the middle of the night. Historical records from Europe, Africa, Asia, and beyond describe how, after nightfall, families would go to bed early, then wake around midnight for a while before returning to sleep until dawn.

Breaking the night into two parts probably changed how time felt. The quiet interval gave nights a clear middle, which can make long winter evenings feel less continuous and easier to manage.

The midnight interval was not dead time; it was noticed time, which shapes how long nights are experienced.

Some people would get up to tend to chores like stirring the fire or checking on animals. Others stayed in bed to pray or contemplate dreams they'd just had. Letters and diaries from pre-industrial times mention people using the quiet hours to read, write, or even socialise quietly with family or neighbours. Many couples took advantage of this midnight wakefulness for intimacy.

Literature from as far back as ancient Greek poet Homer and Roman poet Virgil contains references to an "hour which terminates the first sleep," indicating how commonplace the two-shift night was.

SpaceX just launched a satellite that could help pave the way for a private space station in the very near future.

A Falcon 9 rocket lifted off from Cape Canaveral Space Force Station in Florida today at 1:09 a.m. EDT (0509 GMT), on a multi-satellite rideshare mission that SpaceX calls Bandwagon-4.

Among the 18 payloads on board the Falcon 9 is Haven Demo, a pathfinder for Haven-1, the private space station that California company Vast Space plans to launch to Earth orbit next year.

"The first step in our iterative approach towards building next-generation space stations, Haven Demo will test critical systems for Haven-1, including propulsion, flight computers and navigation software," Vast wrote in a denoscription of the satellite.

Vast's Haven-1 will launch to low Earth orbit (LEO) atop a Falcon 9, perhaps as soon as the second quarter of 2026. If that schedule holds, Haven-1 — which can support up to four astronauts at a time — will be the first standalone private space station in human history.

The other 17 payloads that went up today will be operated by South Korea's Agency for Defense Development (ADD), the Berlin-based company Exolaunch, Turkey's Fergani Space, the weather-forecasting outfit Tomorrow Companies and Starcloud, which aims to build data centers in space.

Exactly 25 years ago, at 09:21 UTC, the era of continuous human presence on the International Space Station began.

Since Crew One took up residence in 2000, 21 esa astronauts have lived and worked on this orbital outpost, conducting essential research to benefit life on Earth.

Although scientists have uncovered much of the story of human evolution, several key chapters are still missing. One major gap lies between 2 and 3 million years ago, a period for which fossil evidence remains scarce. This absence is especially significant because it marks the era when the branch of the hominin family tree that includes modern humans, or Homo sapiens, first appears in the fossil record.

Today, Homo sapiens (commonly referred to by anthropologists as Homo) is the only surviving member of the hominin lineage. In earlier times, however, our ancestors shared the Earth with other related species, sometimes competing and coexisting with them. Recent research supported by the National Science Foundation and the Leakey Foundation, and published in Nature, helps close one of these evolutionary gaps by revealing two early hominin species that lived side by side.

At the Ledi-Geraru site in Ethiopia’s Afar Region, an international research team discovered hominin fossils dated between 2.6 and 3.0 million years old. Lucas Delezene, an associate professor of anthropology at the University of Arkansas, served as the study’s second author, contributing alongside more than 20 scientists from North America, Africa, and Europe.

The findings include fossils of Homo that establish the oldest confirmed evidence of our lineage at 2.8 million years ago, with additional remains dating to 2.6 million years ago. These discoveries strengthen the case for Homo’s deep evolutionary roots. Even more surprising, the team found that Homo lived in the same region at the same time as another hominin, Australopithecus, around 2.6 million years ago.

This overlap challenges long-held assumptions, as Australopithecus was believed to have vanished from the area roughly 3 million years ago. The famous Australopithecus specimen known as Lucy was discovered nearby, yet her species was thought to have disappeared from the fossil record by that point.

About one in three people over the age of 80 are affected by age-related macular degeneration (AMD), and roughly 20 million Americans aged 40 and older are currently living with the condition. Most patients experience the dry form of AMD, which develops gradually and eventually leads to the loss of central vision, making it difficult to see objects directly ahead. Despite how common it is, there are still no effective treatments for the dry type of the disease.

Researchers at Aalto University have now identified a promising new method that could help stop the progression of dry AMD if applied during the early stages of diagnosis. The technique works by using heat to strengthen the cells’ natural defense systems, according to Professor Ari Koskelainen.

“Cellular functionality and protective mechanisms weaken with age, which exposes the fundus [the inside surface at the back of the eye] to intense oxidative stress,” he explains. “Free oxygen radicals damage proteins, which causes them to misfold and aggregate, then fatty protein deposits called drusen begin to accumulate, which is the main diagnostic criterion for the dry form of age-related macular degeneration.”

India's efforts to combat air pollution by using cloud seeding in its sprawling capital New Delhi appear to have fallen flat, with scientists and activists questioning the effectiveness of the move.

Cloud seeding involves spraying particles such as silver iodide and salt into clouds from aircraft to trigger rain, that can wash pollutants from the air.

Delhi authorities, working with the Indian Institute of Technology (IIT) Kanpur, began trials last week using a Cessna aircraft over parts of the city.

But officials said the first trials produced very little rainfall because of thin cloud cover.

"This will never ever do the job, it's an illusion," said Bhavreen Kandhari, an environmental campaigner in Delhi. "Only when we clean up sources of air pollution can we control it."

The government has spent around $364,000 on the trials, according to local media reports.

Each winter, thick smog chokes Delhi and its 30 million residents. Cold air traps emissions from farm fires, factories and vehicles.

Despite various interventions—such as vehicle restrictions, smog sucking towers, and mist-spraying trucks—the air quality ranks among the worst for a capital in the world.

A day after the latest trial, levels of cancer-causing PM2.5 particles hit 323, more than 20 times the daily limits set by the World Health Organization. It will likely worsen further through the season.

A study published in The Lancet Planetary Health last year estimated that 3.8 million deaths in India between 2009 and 2019 were linked to air pollution

Although the U.S. government is shut down, NASA's astronauts in space are still expected to show up for work every day.

As the shutdown continues into its second month, many federal employees are furloughed. Some, however, keep working (mostly without pay at the moment), because they're considered critical to the continued operation of the nation's functions, like the delivery of the mail.

Thankfully for the NASA astronauts aboard the International Space Station (ISS), their wellbeing falls into the category of "protection of life and safety," which NASA is tasked with maintaining while the government's doors are closed.

Like all federal agencies, NASA has had to severely cut back on its day-to-day activities, as more than 15,000 NASA civil servants have been furloughed since Oct. 1. Only essential personnel deemed "necessary to protect life and property" are granted "excepted" status, according to NASA's shutdown guidance. This includes astronauts in space and the technicians in mission control on the ground who support them.

For the most part, life aboard the ISS has continued as usual. The Expedition 73 crew currently occupying the space station have spent the past month conducting microgravity research and other experiments on their rotation and performing scheduled maintenance.

When metal alloys are processed during manufacturing, the atoms of the combined elements are mixed together at random, according to conventional wisdom – but new research challenges this thinking, revealing hidden atomic patterns that persist.

The study is the work of researchers from the Massachusetts Institute of Technology (MIT), and it promises to open up new ways to control the properties of metals during manufacturing

Recent lab studies have identified subtle patterns in metal alloys that can be tweaked to enhance the material's properties, including mechanical strength, durability and radiation tolerance. This new study reveals in simulations how those patterns – and some new ones – emerge and linger even after intense processing.

"This is the first paper showing these non-equilibrium states that are retained in the metal," says MIT materials scientist Rodrigo Freitas.

"Right now, this chemical order is not something we're controlling for or paying attention to when we manufacture metals."

Understanding the new findings is a little tricky if you're not already familiar with the physics of metal alloys, but the chemical short-range order (SRO) that the researchers were looking at in this study is the arrangement that atoms fall into in metal alloys

A specialized shark-hunting pod of orcas in the Gulf of California has been caught on camera expertly targeting young great white sharks—flipping them upside-down to eat the energy-rich liver.

The pod, known as Moctezuma's pod, could be taking advantage of warming waters altering shark nursery areas to hunt juveniles, which lack the experience to flee as older sharks do. These observations suggest that orcas may hunt white sharks more often than we realized. However, a broader survey collecting more data is needed to draw strong conclusions.

"I believe that orcas that eat elasmobranchs—sharks and rays—could eat a great white shark, if they wanted to, anywhere they went looking for one," said marine biologist Erick Higuera Rivas, project director at Conexiones Terramar and Pelagic Life and lead author of the article in Frontiers in Marine Science.

"This behavior is a testament to orcas' advanced intelligence, strategic thinking, and sophisticated social learning, as the hunting techniques are passed down through generations within their pods."

Since the early 1970s, humanity has sent messages beyond the Solar System in the hopes of contacting another civilization. Some were physically attached to interstellar spacecraft, while others were beamed into space in the form of radio signals. This video provides a detailed chronology of almost all of these messages with a focus on their meaning and improbability of reception.

𝐂𝐫𝐞𝐝𝐢𝐭𝐬, 𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬, 𝐚𝐧𝐝 𝐦𝐨𝐫𝐞
https://www.lemmi.no/p/shouting-at-stars

𝐂𝐡𝐚𝐩𝐭𝐞𝐫𝐬
00:00:00 Intro
00:02:08 Pioneer Plaques
00:15:33 Arecibo Message
00:26:36 The Golden Records
00:41:47 Message to Altair
00:48:18 Poetica Vaginal
00:54:46 NASDA Space Camp Messages
00:57:31 Cosmic Call I
01:11:07 The Teenage Message
01:18:40 Cosmic Call II
01:25:45 New Horizons
01:32:19 Across the Universe
01:34:08 Doritos Broadcast Project
01:35:24 A Message From Earth
01:38:25 Hello From Earth
01:42:12 RuBisCO Stars Message
01:49:06 The Wow! Reply
01:56:05 Lone Signal
01:59:28 JAXA Space Camp Messages
02:01:37 A Simple Response to an Elemental Message
02:04:35 Sónar Calling GJ273b
02:08:46 Stephen Hawking's Memorial Broadcast
02:10:23 The Transmission Debate

In a significant step forward for cancer therapy, researchers at Northwestern University have redesigned the molecular structure of a well-known chemotherapy drug, greatly increasing its solubility, effectiveness, and safety.

For this study, the scientists created the drug entirely from scratch as a spherical nucleic acid (SNA), a nanoscale structure that incorporates the drug into DNA strands surrounding tiny spheres. This innovative design transforms a compound that normally dissolves poorly and works weakly into a highly potent, precisely targeted treatment that spares healthy cells from damage.

When tested in a small animal model of acute myeloid leukemia (AML), an aggressive and hard-to-treat blood cancer, the SNA-based version showed remarkable results. It entered leukemia cells 12.5 times more efficiently, destroyed them up to 20,000 times more effectively, and slowed cancer progression by a factor of 59, all without causing noticeable side effects.

According to the researchers, this achievement highlights the growing promise of structural nanomedicine, an emerging area of research where scientists carefully design both the structure and composition of nanomedicines to control how they behave inside the body. With seven SNA-based therapies already in clinical trials, this approach could pave the way for advanced vaccines and new treatments for cancer, infectious diseases, neurodegenerative disorders, and autoimmune conditions.

With the help of satellites, we are beginning to get an understanding of just how catastrophic Hurricane Melissa was.

On Oct. 28, Hurricane Melissa became the fourth hurricane in 75 years to make landfall on the island of Jamaica and shattered several Atlantic hurricane records. It is now tied with the 1935 "Labor Day" hurricane for the strongest Atlantic hurricane to make landfall on record, according to Yale Climate Connections. As of Oct. 31, at least 50 deaths have been reported in the storm's wake, and total damages could reach over $50 billion, according to Reuters. The full impact of the storm is still being assessed.

Satellite photos released by Vantor Technology (formerly Maxar) are beginning to reveal the extent of the damage left in Melissa's wake, which left the island of Jamaica unrecognizable in many parts. Vantor Technology recently shared imagery on X showing several locations throughout the island nation that flooded or were damaged by high winds brought by Hurricane Melissa.

Following Hurricane Melissa, Vantor made its satellite imagery available for free in order to help rescue and recovery efforts. "This imagery can be used by frontline organizations and geospatial community members to map changes on the ground and identify the most severely impacted areas, helping ensure resources are allocated quickly and effectively," Vantor wrote alongside the images.

From ChatGPT crafting emails, to AI systems recommending TV shows and even helping diagnose disease, the presence of machine intelligence in everyday life is no longer science fiction.

And yet, for all the promises of speed, accuracy and optimization, there's a lingering discomfort. Some people love using AI tools. Others feel anxious, suspicious, even betrayed by them. Why?

The answer isn't just about how AI works. It's about how we work. We don't understand it, so we don't trust it. Human beings are more likely to trust systems they understand. Traditional tools feel familiar: you turn a key, and a car starts. You press a button, and a lift arrives.

But many AI systems operate as black boxes: you type something in, and a decision appears. The logic in between is hidden. Psychologically, this is unnerving. We like to see cause and effect, and we like being able to interrogate decisions. When we can't, we feel disempowered.

This is one reason for what's called algorithm aversion. This is a term popularized by the marketing researcher Berkeley Dietvorst and colleagues, whose research showed that people often prefer flawed human judgment over algorithmic decision making, particularly after witnessing even a single algorithmic error.

We know, rationally, that AI systems don't have emotions or agendas. But that doesn't stop us from projecting them on to AI systems. When ChatGPT responds "too politely," some users find it eerie. When a recommendation engine gets a little too accurate, it feels intrusive. We begin to suspect manipulation, even though the system has no self.

This is a form of anthropomorphism—that is, attributing humanlike intentions to nonhuman systems. Professors of communication Clifford Nass and Byron Reeves, along with others have demonstrated that we respond socially to machines, even knowing they're not human.

We hate when AI gets it wrong
One curious finding from behavioral science is that we are often more forgiving of human error than machine error. When a human makes a mistake, we understand it. We might even empathize. But when an algorithm makes a mistake, especially if it was pitched as objective or data-driven, we feel betrayed.

This links to research on expectation violation, when our assumptions about how something "should" behave are disrupted. It causes discomfort and loss of trust. We trust machines to be logical and impartial. So when they fail, such as misclassifying an image, delivering biased outputs or recommending something wildly inappropriate, our reaction is sharper. We expected more.

The irony? Humans make flawed decisions all the time. But at least we can ask them "why?"

For some, AI isn't just unfamiliar, it's existentially unsettling. Teachers, writers, lawyers and designers are suddenly confronting tools that replicate parts of their work. This isn't just about automation, it's about what makes our skills valuable, and what it means to be human.

This can activate a form of identity threat, a concept explored by social psychologist Claude Steele and others. It describes the fear that one's expertise or uniqueness is being diminished. The result? Resistance, defensiveness or outright dismissal of the technology. Distrust, in this case, is not a bug—it's a psychological defense mechanism.

Twenty-five years ago, on October 31, 2000, the United Nations unanimously adopted its landmark Security Council Resolution 1325 (WPS 1325). The resolution on women, peace and security reaffirmed "the important role of women in the prevention and resolution of conflicts, peace negotiations, peace-building, peacekeeping, humanitarian response and in post-conflict reconstruction." It also stressed the "importance of their equal participation and full involvement in all efforts for the maintenance and promotion of peace and security."

The significance of women to building sustainable peace is undeniable. Our research has found that, on average, the incorporation of measures to include women in post-conflict society in a peace agreement reduces the probability of conflict recurrence by 11%. Even more significantly, if this process occurs alongside UN leadership, the probability of conflict recurrence is reduced by 37%.

So the anniversary of WPS 1325 should be a reason to celebrate. Instead, the UN secretary-general, António Guterres, opened his report to the Security Council's annual debate on women, peace and security on October 6 with a warning. Guterres said the UN too often "falls short when it comes to real change in the lives of women and girls caught in conflict." He specifically noted the lack of inclusion of women in peace negotiations, the failure to protect women and girls from sexual violence, and the underfunding of women peacebuilders.

Over the past 25 years, the Security Council has adopted almost 1,000 resolutions related to WPS 1325. In 2015, Resolution 2242 aimed for the more systematic integration of the women, peace and security agenda into "all country-specific situations on the Security Council's agenda." To facilitate this, the UN Security Council set up an informal group of experts.

There is no doubt that the women, peace and security agenda has had a positive impact. Guterres noted that "gender provisions in peace agreements have become more common, and women's organizations have helped transform post-conflict recovery and reconciliation in communities worldwide." He declared that "women-led civil society and women peace builders … are the drivers behind holistic and sustainable peace."

Yet according to a UN Women survey in early 2025, global cuts to foreign aid budgets make it harder for women to make these vital contributions to peace and security.

The situation is similarly challenging for UN peacekeeping. The cumulative budget shortfall in mid-2025 stood at almost US$2.7 billion (£2.04 billion), with the US, China and Russia the three largest debtors. Despite a significant decrease over the past decade in the peacekeeping budget from US$8.4 billion in 2014-15 to US$5.2 billion in 2024-25, the share of unpaid contributions has more than tripled from 13% to 41% over the same period.

If these two trends persist, the prospects for sustainable conflict resolution will dramatically diminish.

Women as peacebuilders
Aiming to explore how to prevent civil wars from recurring, we analyzed 14 protracted peace processes in recurrent civil wars. This analysis revealed that the UN, working with local women's organizations, was able to create and sustain multi-level coalitions committed to concluding, maintaining and implementing peace accords.

We then tested these findings statistically against 286 agreements concluded in violent conflicts worldwide. This confirmed that—together—UN leadership and the inclusion of women in post-conflict society significantly increase the odds of a peace agreement surviving for more than five years.

Finally, we conducted in-depth case studies of peace processes in the Bangsamoro region in the island of Mindanao in the Philippines, as well as in Burundi, Côte d'Ivoire, Liberia and Sierra Leone. This enabled us to establish how the UN and women-led organizations are able to help prevent civil wars from recurring.

Imagine reliving your entire life in the space of seconds. Like a flash of lightning, you are outside of your body, watching memorable moments you lived through. This process, known as “life recall,” can be similar to what it is like to have a near-death experience.

What happens inside your brain during these experiences and after death are questions that have puzzled neuroscientists for centuries. 

However, a new study  from Dr. Ajmal Zemmar of the University of Louisville and colleagues throughout the world, “Enhanced Interplay of Neuronal Coherence and Coupling in the Dying Human Brain,” published in Frontiers in Aging Neuroscience, suggests that your brain may remain active and coordinated during and even after the transition to death, and be programmed to orchestrate the whole ordeal.

When an 87-year-old patient developed epilepsy, Dr. Raul Vicente of the University of Tartu, Estonia, and colleagues used continuous electroencephalography to detect the seizures and treat the patient. During these recordings, the patient had a heart attack and passed away.
This unexpected event allowed the scientists to record the activity of a dying human brain for the first time ever. 

What did they find?
"We measured 900 seconds of brain activity around the time of death and set a specific focus to investigate what happened in the 30 seconds before and after the heart stopped beating,” said Zemmar, a neurosurgeon at the University of Louisville, who organized the study.

“Just before and after the heart stopped working, we saw changes in a specific band of neural oscillations, so-called gamma oscillations, but also in others such as delta, theta, alpha and beta oscillations.” 

Brain oscillations are more commonly known as brain waves. They are patterns of rhythmic brain activity normally present in living human brains. The different types of oscillations, including gamma, are involved in high-cognitive functions, such as concentrating, dreaming, meditation, memory retrieval, information processing and conscious perception, just like those associated with memory flashbacks.

“Through generating brain oscillations involved in memory retrieval, the brain may be playing a last recall of important life events just before we die, similar to the ones reported in near-death experiences,” Zemmar speculated.