#PPOD: Saturn in Infrared 🪐

Saturn viewed at infrared wavelengths, as imaged by NASA's Cassini spacecraft in 2014. The hexagon at the top represents a giant jet stream, approximately 29,000 to 30,000 kilometers wide, with sides approximately 14,500 kilometers long – longer than Earth's diameter. This massive storm spans 75 to 300 kilometers high and is a long-lived atmospheric feature centered around Saturn's north pole.

Credit: NASA NASAJPL Caltech spacescienceins #CICLOPS; Processing: Maksim Kakitsev

📡Discovery of Protoplanetary Disk Caught in Explosion Driven by Stellar Jet. 🤯
This finding suggests that the disk, which serves as a seedbed for planets, is exposed to a harsher environment than previously thought.

Looking like a cosmic double-bladed lightsaber, Webb captured enormous jets of gas 8 light-years across erupting from a massive baby star. This rare sighting is helping us better understand how massive stars form.

https://science.nasa.gov/missions/webb/nasas-webb-observes-immense-stellar-jet-on-outskirts-of-our-milky-way/

What IS a "potential biosignature" anyway? For a complete review and deep dive into the recent announcement, check out this special edition of the Mars Report: 

https://science.nasa.gov/mars/the-mars-report/2025-september-special-edition/

Magnetic fields that originated during the earliest moments of the Universe may have been billions of times weaker than the pull of a household fridge magnet, with strengths on the scale of the magnetism produced by neurons in the human brain. Despite being so faint, measurable evidence of these fields can still be detected in the cosmic web, the vast network of structures linking galaxies across the Universe.

This conclusion comes from a study involving about 250,000 computer simulations carried out by researchers at SISSA (the International School for Advanced Studies in Trieste) in collaboration with teams from the Universities of Hertfordshire, Cambridge, Nottingham, Stanford, and Potsdam.

Vitamin D supplements may help safeguard the protective caps on our chromosomes that influence the pace of aging, raising hopes that the “sunshine vitamin” could support healthier longevity, according to a recent study.

Researchers reported that taking 2,000 IU (international units, a standard vitamin measurement) of vitamin D each day helped preserve telomeres, the small structures at the ends of chromosomes that act like the plastic tips of shoelaces, shielding DNA from damage during cell division.

Each of our 46 chromosomes ends with a telomere, which gradually shortens every time a cell divides. Once telomeres become critically short, cells lose the ability to divide and ultimately die.

Shortened telomeres have been associated with several major age-related conditions, including cancer, heart disease, and osteoarthritis. Factors such as smoking, chronic stress, and depression appear to accelerate this process, while inflammatory processes in the body also contribute to telomere loss.

Saturn’s largest moon, Titan, is a complex environment. It hosts rivers and lakes of liquid methane, fields of icy boulders, extensive sand dunes, and, beneath its frozen crust, a vast subsurface ocean. This unique combination makes Titan one of the most intriguing subjects in astrobiology.

A new study led by ETH Zurich fellow Dr. Antonin Affholder examines whether that subsurface ocean could support life. His findings, discussed in a recent SETI Live with SETI Institute communications specialist Beth Johnson, suggest that if life exists there, it may persist only in extremely small amounts, making detection a formidable challenge.

Learn more: https://www.seti.org/news/life-in-titans-ocean-the-microscopic-possibility-of-biomass-on-saturns-moon/

When cells are injured, they can "vomit" their insides out to help them heal faster, according to a new study. While effective, the process could also be implicated in diseases like cancer.

The discovery was made while scientists were investigating a recently discovered cellular process called paligenosis, where mature cells respond to injury by reverting to a younger-seeming progenitor state, similar to a stem cell.

The researchers found that rather than cleaning house slowly, injured cells could quickly jettison waste in a process the team called "cathartocytosis," which may help them achieve a stem cell-like state sooner.

"After an injury, the cell's job is to repair that injury. But the cell's mature cellular machinery for doing its normal job gets in the way," says first author Jeffrey W. Brown, gastroenterologist at Washington University in St. Louis.

"So, this cellular cleanse is a quick way of getting rid of that machinery so it can rapidly become a small, primitive cell capable of proliferating and repairing the injury. We identified this process in the gastrointestinal tract, but we suspect it is relevant in other tissues as well."

This year's budget expires at the end of this month, and Congress must act before October 1 to avert a government shutdown. If Congress passes a budget before then, it will most likely be in the form of a continuing resolution, an extension of this year's funding levels into the first few weeks or months of fiscal year 2026.

The White House's budget request for fiscal year 2026 calls for a 25 percent cut to NASA's overall budget, and a nearly 50 percent reduction in funding for the agency's Science Mission Directorate. These cuts would cut off money for at least 41 missions, including 19 already in space and many more far along in development.

Normally, a president's budget request isn't the final say on matters. Lawmakers in the House and Senate have written their own budget bills in the last several months. There are differences between each appropriations bill, but they broadly reject most of the Trump administration's proposed cuts.

Still, this hasn't quelled the anxieties of anyone with a professional or layman's interest in space science. The 19 active robotic missions chosen for cancellation are operating beyond their original design lifetime. However, in many cases, they are in pursuit of scientific data that no other mission has a chance of collecting for decades or longer.

A “tragic capitulation”
Some of the mission names are recognizable to anyone with a passing interest in NASA's work. They include the agency's two Orbiting Carbon Observatory missions monitoring data signatures related to climate change, the Chandra X-ray Observatory, which survived a budget scare last year, and two of NASA's three active satellites orbiting Mars.

And there's New Horizons, a spacecraft that made front-page headlines in 2015 when it beamed home the first up-close pictures of Pluto. Another mission on the chopping block is Juno, the world's only spacecraft currently at Jupiter.
Both spacecraft have more to offer, according to the scientists leading the missions.

“New Horizons is perfectly healthy," said Alan Stern, the mission's principal investigator at Southwest Research Institute (SWRI). "Everything on the spacecraft is working. All the spacecraft subsystems are performing perfectly, as close to perfectly as one could ever hope. And all the instruments are, too. The spacecraft has the fuel and power to run into the late 2040s or maybe 2050."

New Horizons is a decade and more than 2.5 billion miles (4.1 billion kilometers) beyond Pluto. The probe flew by a frozen object named Arrokoth on New Year's Day 2019, returning images of the most distant world ever explored by a spacecraft. Since then, the mission has continued its speedy departure from the Solar System and could become the third spacecraft to return data from interstellar space.

In a groundbreaking experiment, engineers at the University of Pennsylvania successfully extended quantum networking beyond the laboratory by transmitting signals over commercial fiber-optic cables using the same Internet Protocol (IP) that drives today’s web. Published in Science, the study demonstrates that delicate quantum signals can travel on the same infrastructure that carries routine online traffic. The tests were carried out on Verizon’s campus fiber-optic network.

At the center of the effort is the Penn team’s compact “Q-chip,” designed to coordinate quantum and classical information while operating in full compatibility with modern internet protocols. This innovation could serve as a foundation for a future “quantum internet,” a network that researchers expect may be as transformative as the emergence of the web itself.

Quantum communication depends on entangled particles, which are so strongly connected that altering one instantly changes the other. Leveraging this phenomenon could allow quantum computers to interconnect and share resources, enabling breakthroughs such as more efficient artificial intelligence and the development of novel drugs and materials beyond the capabilities of current supercomputers.

Dark energy—the term used to describe whatever is causing the universe to expand at an increasing rate—is one of the universe's greatest mysteries. The most widely accepted theory currently suggests that dark energy is constant, and the energy of empty space drives cosmic acceleration.

However, last year, findings from the Dark Energy Survey and Dark Energy Spectroscopic Instrument sparked excitement within the cosmology community by hinting that dark energy may actually be evolving.

"This would be our first indication that dark energy is not the cosmological constant introduced by Einstein over 100 years ago but a new, dynamical phenomenon," said Josh Frieman, University of Chicago Professor Emeritus of Astronomy and Astrophysics.

In a new paper published in Physical Review D, Frieman and Anowar Shajib, a NASA Hubble Fellowship Program Einstein Fellow in Astronomy and Astrophysics at UChicago, combine current data from a multitude of probes and find that dynamical models of evolving dark energy can better explain the data than the cosmological constant. If so, their models find, there may be an undiscovered particle out there which is many orders of magnitude smaller than an electron.

University of Chicago spoke with Shajib and Frieman about the new models described in their paper, the implications of these results, and what's next.

On Sept. 7 2025, the skies darkened as Earth's shadow consumed the moon. Skywatchers in many parts of the world saw the moon turn blood red due to a total lunar eclipse.

For amateur astronomers Michael Jäger and Gerald Rhemann in Namibia, the eclipse was not only a sight to behold, but it also gave them an unprecedented opportunity: the chance to capture the interstellar comet 3I/ATLAS under some of the darkest skies on Earth.

Using the eclipse's natural dimming of the moon, the duo was able to take some deep images of the comet, revealing something surprising: the comet glowed green.

Mummifying the dead is a funerary rite that has been practiced for thousands of years in many locations across the world. A new discovery reveals that we may have been underestimating exactly how widespread the practice has been. Bones that show signs of deliberate mummification have been found across Southeast Asia and southern China, with ages dating back to the pre-Neolithic period up to 12,000 years ago.

That's several thousands of years older than the cultures best known for mummification, the Chinchorro people of Chile, who were mummifying their dead 7,000 years ago, and the ancient Egyptians, who were practicing the craft 5,600 years ago.

The reason we might have missed it? The technique used by the earlier Asian cultures is quite different from the more well-known mummification practices. According to a team led by archaeologist Hsiao-chun Hung of the Australian National University, the individuals in their study were slowly smoked over an open fire for long stretches of time.

Early scientific theories—such as those explaining basic phenomena like gravity, burning, and the movement of molecules in water—centered on presumed inherent properties rather than external factors, thereby misleading famous philosophers and scientists, from Aristotle to Scottish botanist Robert Brown, in their theorizing.

A new study by a team of psychology researchers has now found that this tendency is in fact common in the history of science. Moreover, through a series of experiments and surveys, the paper's authors conclude these misfires were likely driven by cognitive constraints, among scientists and non-scientists alike, that have acted as a bottleneck to discovery and shaped the trajectory of scientific theories over millennia.

The study, which appears in the journal Proceedings of the National Academy of Sciences, was conducted by researchers at the University of Edinburgh and New York University.

"Early scientific theories across multiple fields share a common pattern, in that they focus too much on built‑in features and too little on interactions with surroundings," explains Zachary Horne, a lecturer in psychology at the University of Edinburgh and the paper's lead author. "This bias appears throughout the history of science, and its 'fingerprints' can even be seen among scientists today."

The sun has become increasingly active since 2008, a new NASA study shows. Solar activity is known to fluctuate in cycles of 11 years, but there are longer-term variations that can last decades. Case in point: Since the 1980s, the amount of solar activity had been steadily decreasing all the way up to 2008, when solar activity was the weakest on record. At that point, scientists expected the sun to be entering a period of historically low activity.

But then the sun reversed course and started to become increasingly active, as documented in the study, which appears in The Astrophysical Journal Letters. It's a trend that researchers said could lead to an uptick in space weather events, such as solar storms, flares, and coronal mass ejections.

"All signs were pointing to the sun going into a prolonged phase of low activity," said Jamie Jasinski of NASA's Jet Propulsion Laboratory in Southern California, lead author of the new study. "So it was a surprise to see that trend reversed. The sun is slowly waking up."

The earliest recorded tracking of solar activity began in the early 1600s, when astronomers, including Galileo, counted sunspots and documented their changes.

Different parts of Mars have different advantages and disadvantages when it comes to their available resources, just like Earth. The polar caps are likely the most valuable in terms of their water content, which will be critical to any early stage crewed mission to the Red Planet. But to really unlock the fully potential of Mars, geologists think we’ll need to look to the volcanoes, where there is likely to be easily accessible valuable materials like nickel, titanium, and chromium, that were placed there when the volcanoes were active. Reaching those deposits on the side of some of the largest mountains in the solar system safely is a challenge, and one that is tackled in a new paper by Divij Gupta and Arkajit Aich, where they look at the necessary requirements to set up an effective mining operation on the slopes of Olympus and Elysium Mons.

According to a report released today by CopernicusECMWF, in 2025, the Antarctic ozone hole formed earlier than usual and has already reached about 21 million km² in the first half of September.

If you are curious about the history of the ozone hole and how satellites are helping us track its recovery, here's an interesting video recap:
https://t.co/XxJbcEQs6k

📹CAMS

The new image of M87* just released today comes to life in this stunning animation, revealing its incredible evolution over the years!

Watch closely and see how this mysterious supermassive black hole changes over time.

Credit: EHT Collaboration | Animation: Saurabh (MPIfR)

OpenAI’s latest research paper diagnoses exactly why ChatGPT and other large language models can make things up – known in the world of artificial intelligence as “hallucination”. It also reveals why the problem may be unfixable, at least as far as consumers are concerned.

The paper provides the most rigorous mathematical explanation yet for why these models confidently state falsehoods. It demonstrates that these aren’t just an unfortunate side effect of the way that AIs are currently trained, but are mathematically inevitable.

The issue can partly be explained by mistakes in the underlying data used to train the AIs. But using mathematical analysis of how AI systems learn, the researchers prove that even with perfect training data, the problem still exists.

The way language models respond to queries – by predicting one word at a time in a sentence, based on probabilities – naturally produces errors. The researchers in fact show that the total error rate for generating sentences is at least twice as high as the error rate the same AI would have on a simple yes/no question, because mistakes can accumulate over multiple predictions.

In other words, hallucination rates are fundamentally bounded by how well AI systems can distinguish valid from invalid responses. Since this classification problem is inherently difficult for many areas of knowledge, hallucinations become unavoidable.

It also turns out that the less a model sees a fact during training, the more likely it is to hallucinate when asked about it. With birthdays of notable figures, for instance, it was found that if 20% of such people’s birthdays only appear once in training data, then base models should get at least 20% of birthday queries wrong.

Sure enough, when researchers asked state-of-the-art models for the birthday of Adam Kalai, one of the paper’s authors, DeepSeek-V3 confidently provided three different incorrect dates across separate attempts: “03-07”, “15-06”, and “01-01”. The correct date is in the autumn, so none of these were even close.

The evaluation trap
More troubling is the paper’s analysis of why hallucinations persist despite post-training efforts (such as providing extensive human feedback to an AI’s responses before it is released to the public). The authors examined ten major AI benchmarks, including those used by Google, OpenAI and also the top leaderboards that rank AI models. This revealed that nine benchmarks use binary grading systems that award zero points for AIs expressing uncertainty.

This creates what the authors term an “epidemic” of penalising honest responses. When an AI system says “I don’t know”, it receives the same score as giving completely wrong information. The optimal strategy under such evaluation becomes clear: always guess.
[...]
In short, the OpenAI paper inadvertently highlights an uncomfortable truth: the business incentives driving consumer AI development remain fundamentally misaligned with reducing hallucinations. Until these incentives change, hallucinations will persist.

Climate models are complex, just like the world they mirror. They simultaneously simulate the interacting, chaotic flow of Earth’s atmosphere and oceans, and they run on the world’s largest supercomputers.

Critiques of climate science, such as the report written for the Department of Energy by a panel in 2025, often point to this complexity to argue that these models are too uncertain to help us understand present-day warming or tell us anything useful about the future.

But the history of climate science tells a different story.

The earliest climate models made specific forecasts about global warming decades before those forecasts could be proved or disproved. And when the observations came in, the models were right. The forecasts weren’t just predictions of global average warming – they also predicted geographical patterns of warming that we see today.

These early predictions starting in the 1960s emanated largely out of a single, somewhat obscure government laboratory outside Princeton, New Jersey: the Geophysical Fluid Dynamics Laboratory. And many of the discoveries bear the fingerprints of one particularly prescient and persistent climate modeler, Syukuro Manabe, who was awarded the 2021 Nobel Prize in physics for his work.

Manabe’s models, based in the physics of the atmosphere and ocean, forecast the world we now see while also drawing a blueprint for today’s climate models and their ability to simulate our large-scale climate. While models have limitations, it is this track record of success that gives us confidence in interpreting the changes we’re seeing now, as well as predicting changes to come.