An international research team led by Harvard scientists has announced the first-ever detection of an atmosphere on an Earth-like rocky exoplanet, LHS 1140 b, orbiting within its star’s habitable zone, only 48 light-years away.

The researchers behind the historic discovery, which they are calling “a major milestone in the search for life on other planets,” said the detection of an atmosphere on an Earth-like rocky exoplanet offers the strongest evidence to date that worlds with similar compositions and temperatures to Earth that are also capable of supporting life could exist beyond our solar system.

Models Predicted First Earth-like Rocky Habitable Zone Exoplanet Atmosphere

In a statement announcing the detection of an atmosphere around a habitable-zone rocky exoplanet, the discovery was motivated by theoretical predictions suggesting that LHS 1140 b may contain an atmosphere. The planet was even more tantalizing because its orbit around its host red dwarf star allows for liquid water on its surface, a key ingredient for life as we know it.

Although thousands of exoplanets have been confirmed since 1995, including habitable-zone rocky worlds similar in size and composition to Earth, the team notes that determining whether any of these potential Earth analogs maintain an atmosphere. Like water, an atmosphere is considered a likely necessity for life to emerge.

“An atmosphere is essential for a planet to support life as we know it,” explained Collin Cherubim, the lead author of a study detailing the findings, who recently earned his Ph.D. in Earth and Planetary Sciences from Harvard University.

Robin Wordsworth, the Gordon McKay Professor of Environmental Science and Engineering and Professor of Earth and Planetary Sciences at Harvard, said that as recently as twenty years ago, astronomers still didn’t know if other, terrestrial-type planets “even existed.” However, he explained, they quickly found that this type of planet was common, including some orbiting within their star’s habitable zone.

“The next question was whether any of them had managed to keep an atmosphere,” the professor added.

Infrared Observations Confirm Historic First  

Before performing any direct observations, the team used computer models to predict what they might find on LHS 1140 b. As noted, those models predicted an upper atmosphere rich in helium. The models also suggested that the atmospheric helium was slowly escaping into space.

To test the model’s predictions, Cherubim and colleagues gained access to the Warm Infrared Echelle (WINERED) Spectrograph on the Magellan Observatory in Chile. The team noted that this powerful telescope allowed them to observe an alignment of LHS 1140 b and another planet transiting its star “on the same night.”

When analyzing the data, the team found that one of the planets appeared to lack any measurable atmosphere. However, as their models had predicted, helium was actively escaping from LHS 1140 b. The finding confirmed that this rocky exoplanet orbiting within its star’s habitable zone was actively maintaining an atmosphere.

David Charbonneau, the head of the Harvard Department of Astronomy and an astronomer at the Center for Astrophysics | Harvard & Smithsonian, and Cherubim’s co-advisor with Wordsworth, was initially skeptical because the entire concept was based on a mathematical prediction of a phenomenon astronomers had never witnessed directly. However, Professor Charbonneau ended up praising the student’s determination and follow-through, which led to the historic detection.

“Collin analyzed the planets we knew about and predicted that this one would have a helium atmosphere,” Charbonneau said. “Then he organized telescope time, got the data, and the detection was statistically rock solid.”

“Hopefully it’s just the First of Many More Observations to Come”

When discussing the implications of the findings, Cherubim noted that “this is the first time anyone has found an atmosphere on a rocky planet in the habitable zone of another star.” Professor Wordsworth agreed, once again noting that until now, planets in these categories with atmospheres had been purely theoretical.

“Now we know at least one has,” the professor said.

The data also suggest that LHS 1140 b’s atmosphere has likely survived for more than three billion years, roughly three-quarters of Earth’s existence. This durability makes LHS 1140 b an excellent candidate for future exoplanet atmosphere studies.

More broadly, the team said that using ground-based observatories to search for escaping gases, such as the helium detected leaving LHS 1140 b, “may become an important tool for studying atmospheres on rocky exoplanets.” They also note the potential value of atmospheric detection for astrobiologists searching for signs of life in the cosmos.

As for Cherubim, he plans on following up his historic discovery with a more detailed analysis of the planet’s atmospheric composition. He also said he would like to investigate the possible presence of surface oceans or other planetary characteristics typically associated with habitability and life. The entire team also said they would like to use Cherubim’s model to search for similar Earth-like, habitable-zone rocky exoplanets.

“This has been a model validation, and hopefully it’s just the first of many more observations to come,” Cherubim said.

The study, “Helium escaping from the atmosphere of a nearby rocky exoplanet orbiting in a habitable zone,” was published in Science.

Christopher Plain is a Science Fiction and Fantasy novelist and Head Science Writer at The Debrief. Follow and connect with him on X, learn about his books at plainfiction.com, or email him directly at christopher@thedebrief.org.

Our modern society depends heavily on communications and power networks that are highly susceptible to interference from solar storms, making these volatile space weather events a paramount concern for scientists.

Now, it turns out there may be more to fear than previously realized. Scientists are discovering that there may be no ceiling to the devastating effects solar storms may have on Earth, overturning what little sense of security may exist as a mere mathematical anomaly.

In a recent paper published in Nature, a NASA-led team discovered that the potential impact of solar storms on our technological infrastructure could be substantially more severe than currently recognized.

Solar Storms Reconsidered

According to new research, any past limitations perceived regarding the impact of solar storms on our planet are purely an illusion, which arises from imprecise data collection.

Previous observations of electric currents in the Earth’s upper atmosphere during solar storm events suggested a ceiling to how far they could increase. Yet the new paper claims that uncertainties in solar wind data are falsely giving rise to this idea.

The researchers say that the distance of the spacecraft taking solar wind measurements is the issue. Those spacecraft are millions of miles closer to the Sun than the Earth is, meaning that by the time those winds reach Earth, they have weakened considerably. Additionally, instrument error and the effects of the local plasma and field conditions all come into play.

All this, the researchers say, creates a mismatch between the measured strength of the wind and its effects on our planet’s electrical currents.

Correcting For Distance

The new findings contain one significant difference from existing research: they relied on observation platforms much closer to Earth to collect data, which included spacecraft such as NASA’s MMS and THEMIS.

Launched in 2007, THEMIS consists of five satellites that target the Earth, rather than the Sun, to study our planet’s magnetosphere and auroras. MMS consists of four spacecraft that also study the Earth’s magnetosphere.

Existing charts show the impact of solar winds on Earth leveling off at a certain threshold, which scientists had believed was the maximum saturation possible. However, in new solar wind strength data collected much closer to Earth, more accurately reflecting power at the time of impact, this saturation point disappeared. Instead, this data revealed that there is no ceiling on how heavily solar storms can charge the Earth’s electrical currents.

Solar Storm Impacts

Another crucial element in the NASA-led research is the statistical concept of regression to the mean, which holds that extreme measurements often change as more data come in. In this case, as more data on solar storm impacts on Earth recorded from various distances were collected, the plating effect disappeared. The authors note that similar effects occur in other areas of research, such as climate studies and chronic medical pain.

These new findings present a major challenge to our understanding of space weather. Scientists will now need to conduct many further observations to determine if any such ceiling exists. The threat to our infrastructure may be severe, as satellite communication underpins our modern society, not to mention the power grid, which keeps our world running.

For now, NASA continues to monitor solar storms to prepare for their potentially dangerous effects on our infrastructure, and in light of the new research, the potential for future challenges ahead may be greater than previously realized.

The paper, “Regression to the Mean Can Explain Saturation of Geomagnetic Storms,” appeared in Nature on July 15, 2026.

Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.

A key component of the Orion Nebula had escaped detection by astronomers until now, according to a new study in Astronomy & Astrophysics.

An international team led by Juan Diego Soler at the University of Vienna used two of the world’s most advanced radio telescopes to map neutral atomic hydrogen gas across the nebula’s outer shell at unprecedented resolution. The new maps provide a clearer view of the celestial feature, and reveal a previously uncatalogued second bubble—a shell with much less mass than earlier estimates—and a four-light-year filament of gas extending from the structure.

The Orion Nebula’s Miscalculated Bubble

Neutral hydrogen emits a faint radio signal at a wavelength of 21 centimeters, making it possible to trace otherwise invisible gas between the stars. Soler’s team solved this by combining data from the Karl G. Jansky Very Large Array in New Mexico and the FAST telescope in China. The VLA provided high resolution, while FAST picked up faint, widespread signals. Together, they produced the first detailed hydrogen map of the extended Orion Nebula, at the same scale as earlier ionized carbon maps.

Earlier calculations based on ionized carbon estimated that the front half of the shell was about 1,100 times the mass of our Sun. The hydrogen observations paint a different picture, suggesting the shell actually weighs in at closer to 100 solar masses. “Measuring mass is fundamental,” Soler said, “because it tells us about the efficiency of these newly formed stars shaping their environment with wind and radiation.”

A shell with only a tenth of the previously assumed mass significantly alters calculations of how efficiently newly formed stars shape their environment. The researchers note that molecular hydrogen, which is not detected in either the hydrogen or carbon data, may account for some of the missing mass.

A Second Bubble

The hydrogen maps also revealed an uneven distribution of gas, indicating a second, smaller cavity within the main shell. The team searched catalogs of known stars and young stellar objects in the region but found no candidate at the bubble’s center. The source responsible for creating the cavity may not be the type of object included in current catalogs.

Daniel Seifried at the University of Cologne, a co-author on the study, pointed to what that means for the models astronomers build to explain regions like this one. “These stunning observations serve as a reference for many modern astrophysical simulations investigating the evolution of gas and stars in the Milky Way. These are the kind of images that challenge the theoretical models and numerical simulations that we use to understand how massive stars affect their immediate surroundings.”

Previous models generally treated Orion’s shell as the product of a single expanding bubble. The discovery of a second cavity, with no obvious source at its center, instead suggests the nebula was shaped by multiple episodes of stellar feedback.

An Unexpected Filament

The new maps also uncovered a filament of hydrogen extending about four light-years from the shell’s western edge. Previous carbon-based observations saw only the base of this structure. The filament contains about 80 solar masses of hydrogen and does not appear to be associated with any known group of young stars. Its origin is unclear; it could be gas leaking through a weak spot in the shell or a leftover from the original cloud that existed before the bubble formed.

Claire Murray of the Space Telescope Science Institute, another co-author, framed the discovery within the broader push behind the observations. “This study is an exciting demonstration of the power of the latest-generation radio telescopes to uncover new pieces to the star formation puzzle.” Despite being one of the galaxy’s most extensively studied star-forming regions, the Orion Nebula continues to reveal discoveries.

This survey is the first scientific result from the NeAtHood project, which aims to map atomic hydrogen across nearby star-forming regions accessible to the VLA and FAST telescopes. Soler and his colleagues now plan to apply the same approach to additional targets. “Orion is only the beginning. Our newly developed methods show how future interferometers will reveal the hidden structure and dynamics of the interstellar medium—even in regions that astronomers already believed they understood well,” Soler explained.

If one of the sky’s best-studied star-forming regions still contains hidden structures, other nearby nebulae may prove equally surprising as the NeAtHood survey expands.

Austin Burgess is a writer and researcher with a background in sales, marketing, and data analytics. He holds an MBA, a Bachelor of Science in Business Administration, and a data analytics certification. His work focuses on breaking scientific developments, with an emphasis on emerging biology, cognitive neuroscience, and archaeological discoveries.

For centuries, ancient seafarers have told tales of fabled lost lands. They have been known by many names—Ultima Thule, Hy-Brasil, the Fortunate Isles, and of course, the legendary lost city of Atlantis.

Now, scientists say Earth’s hidden plumbing system may be feeding one of its strangest ecosystems—an area on the Atlantic seafloor that conjures images of such legendary landscapes lost to time and memory.

Known as the Lost City hydrothermal field, this ancient Atlantic oddity is doing more than just broadening our view on how extremophiles thrive in some of our planet’s least hospitable environments: it offers a potential model for how extraterrestrial life may thrive elsewhere in our solar system.

In a recent paper published in Geophysics, Geochemistry, and Geosystems, an international team of researchers finally discovered the system behind these hydrogen- and methane-rich alkaline hot springs that feed the Lost City ecosystem. 

The white carbonate chimneys that emit these gases provide an alternative to sunlight as the Lost City’s primary energy source, allowing life to thrive in a challenging deep ocean environment.

Searching Near The Lost City

Those precious nutrients coming from these vents were created by underground reactions. It turns out that the water feeding the Lost City is likely part of a larger underground system, where extreme processes imbue the liquid with essential nutrients.

The discovery came from nearly a mile below the Atlantis Massif, a large block of Earth’s crust that forms an underwater mountain range. This dome-shaped region stretches for 10 miles and rises 14,000 feet above the ocean floor.

Geologists believe this formation originated between 1.5 and 2 million years ago, as tectonic plate movement pulled it out from beneath the Mid-Atlantic Ridge, forming a new feature on the ocean floor.

From aboard the Joint Oceanographic Institutions for Deep Earth Sampling (JOIDES) ship Resolution, scientists drilled their 4,160-foot-deep hole about 2,600 feet north of the Lost City. They were intrigued to find that the water recovered from the hole had a chemical composition extremely similar to that of water emerging from the Lost City vents.

Beneath The Ocean Floor

From their drill site, they pumped water from varying depths up to the surface for examination.

Roughly the first 1,500 feet consisted primarily of seawater and freshwater from the drilling process, yet at lower depths, they found water that had risen from beneath the rock. At the deepest depths, up to 80% of the sample came from these subterranean regions.

Their detailed analyses revealed that the water had reacted with the surrounding minerals to gain calcium while losing magnesium, a reaction that would require prolonged exposure to rocks at a temperature of at least 572°F. Despite this finding, the hole was much cooler when the team took their samples.

Typically, a water-rock reaction with gabbroic and ultramafic rock would produce such results that are high in calcium, yet with no magnesium. Other components, such as lithium, rubidium, cesium, and strontium, were found in the water at both the bore site and Lost City.

The findings are consequential for providing the first direct evidence of this extremely hot water circulating beneath the Atlantis Massif through gabbroic and ultramafic rock. In this hidden plumbing system, seawater reaches deep within oceanic plates, providing energy to these deep-sea environments and potentially supporting their microbial life.

Feeding The Lost City

As researchers have now demonstrated that hydrogen-enriched water can naturally form deep within the Earth through rock reactions, researchers say there are major implications for our understanding of the Earth and beyond. 

For one, it adds a new element to Earth’s energy cycles, explaining how life persists under such difficult, dark conditions. Secondly, it offers intriguing new ideas about how life might persist in extraterrestrial environments, as humans continue to search for it elsewhere in the cosmos. The strange conditions of the Lost City ecosystem are thought to be a potential model for how life could persist in the global oceans of ice-covered worlds such as Jupiter’s moon Europa or Saturn’s moon Enceladus.

However, some uncertainty about the samples does remain. Seawater, freshwater, and drilling contaminants were present in the samples, and the exact proportions attributable to gabbro or ultramafic rock are unknown. Also, while this is evidence for an underground connection between the borehole and the Lost City chimneys, it is not conclusive proof that they are connected.

Plans are already underway to return once the borehole has stabilized to collect pristine samples that will allow researchers to answer questions about where and how these reactions occur, as well as the amount of energy they add to the water. From the most inhospitable regions on Earth to the quest for organisms among the stars, the research underway deep within our oceans is providing new answers to how such life persists.

The recent paper, “Borehole Waters From Hole U1601C (Atlantis Massif) Provide Constraints for a Deep-Sourced Formation Water That (Could) Feed the Lost City Hydrothermal Field,” appeared in Geophysics, Geochemistry, and Geosystems on July 12, 2026.

Micah Hanks, Editor in Chief of The Debrief, also contributed to this reporting. 

Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.

An innovative new drone dubbed the “Phantom Twist” can seemingly disappear from view, in a major new robotics advancement offering a close-to-invisible aerial platform.

Its name describes the drone’s rapid spinning motion, which rotates 25 times per second—too fast for the human eye to resolve—thereby acting as a sort of cloak shielding it from visible detection.

The Northwestern University engineering team behind the Phantom Twist revealed their drone during a recent talk at the Sydney, Australia, Robotics: Science and Systems 2026 conference on July 16.

Stealth Drones

“Most efforts to hide drones focus on making them look like their surroundings,” said Northwestern’s Michael Rubenstein, who led the work. “Instead, we asked whether we could design the drone itself around the way humans perceive motion. This idea of low visibility through persistent motion is something few people have explored.”

Hiding drones is not a new idea. Other engineers have attempted a variety of techniques, including camouflage, transparent materials, and light-bending to obscure the presence of drones and robots. However, all of those focused on the material the drone’s exterior was constructed from, allowing it to blend into the background. The Northwestern team’s innovation was in how the object moves.

To our eyes, fan blades disappear because they are moving so fast that our eyes cannot track them. The “motion blur” created at these speeds allows the Phantom Twist to almost disappear, leaving only a faint apparition perceptible to the eye. 

Nature Drones

While several military applications are immediately obvious, the team instead says their work could be useful in developing noninvasive wildlife and environmental monitoring. Loud drones can scare wildlife, disrupting them as they scatter, but by blending in, the Phantom Twist could capture a much more accurate picture of natural behaviors.

Their perception-based design eschews the traditional quadcopter design for a single propeller, with a body that spins in the opposite direction, creating the optical illusion that the drone essentially disappears.

“For a typical quadrotor drone, the propellers are spinning, but the robot is stationary,” Rubenstein said. “So, you still see its body. For our drone, the whole thing is rotating, so there are no stationary parts.”

Creating the Phantom Twist

Using AI and optimization algorithms, the Northwestern team began by generating 20,000 different arrangements of a drone’s propeller, motor, circuit board, and other necessary components. Eventually, the algorithm landed on the most promising configurations, after which the researchers simulated and superimposed them onto real-world backgrounds. 

Another computer model mimicked human perception, allowing the engineers to assign a perception score for how visible each design would be to human eyes. An algorithm then optimized those designs by moving components to minimize the visibility score even further.

“The design process was fully automated,” Rubenstein said. “Then, when we were confident that a drone met all our criteria, we built it.”

A Revised Drone

The key feature of this design is that the individual components are at such varying heights and angles that they do not overlap as it spins, maximizing the motion-blur effect and creating the appearance of a faint cloud rather than a solid object.

“The human eye takes time to accumulate signals, roughly analogous to the exposure time of a camera,” said Alexander, an expert in computer vision. “When an object spins quickly, we perceive it as blurring out and losing distinct features. Because this new drone is almost entirely transparent, its few opaque components are visually averaged with the background for an overall appearance of a slight haze.”

Currently impeding the drone from being even more imperceptible to the eye are the wires and support rods that remain visible, as well as the engine noise it produces, which is readily discernible. Going forward, the team plans to continue improving Phantom Twist in future iterations to incorporate more transparent materials and reduce the noise it produces.

Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.

An international team of researchers has demonstrated a new biosignature detection method for distinguishing between abiotic and biotic apatite mineral samples on Mars using instruments already aboard the Perseverance Rover, rather than returning samples to Earth.

The team said their mineral-based biosignature detection approach was successful in identifying samples with nearly 98% accuracy and allows for “deeper time” searches for signs of life, given the longer-lasting nature of minerals compared to biological materials. They also suggest their approach could broaden the capabilities of upcoming rover and life-hunting missions without adding new tools or sensors.

Advantages of a Mineral-Based Approach for Hunting Biosignatures

In a study detailing the team’s technique, Robert M. Hazen from the Carnegie Institution for Science and colleagues explained that searching for life and biosignatures beyond Earth “is a central objective of astrobiology.” They also note that this research is complemented by studies exploring the origin and early evolution of terrestrial life. Still, they add, although identifying biosignatures remains a key challenge, “robust mineral biosignatures remain limited.”

For example, most proposed biosignature missions focus on organic molecules or searching for fossils preserved in sedimentary environments or aquatic environments, including the subsurface oceans of some of the solar system’s moons. However, there are few, if any, proposed missions searching for signs of life preserved in mineral records, which the team notes “can retain records of biological activity over much longer geological timescales”

On Mars, NASA’s Perseverance rover has meticulously collected soil and rock samples deemed most likely to contain biosignatures. However, efforts to send a future sample-return mission to the red planet to retrieve samples are currently stalled and may never be completed.

According to the study authors, there are flight-ready instruments “already deployed on the “Perseverance” rover and planned for deployment on the “Rosalind Franklin” rover capable of searching for signs of life in place rather than returning the samples to labs on Earth. However, they add, “to fully exploit these mission-limited yet information-rich tools, it is essential to efficiently extract as much diagnostic value as possible from the data they generate.”

To search for mineral-based biosignatures, the team focused its research on Raman spectroscopy.

Using Instruments Already Aboard Mars Rovers to Search for Life

“Raman spectroscopy is particularly attractive because it provides bond-specific information on crystal structure and chemical substitution in a nondestructive manner,” they explain.

The team also notes that the Raman spectra acquired by the rover’s instruments “are highly comparable to those obtained under laboratory conditions,” increasing the robustness of any possible life signal.

“This consistency enables direct translation of laboratory reference datasets to planetary environments,” they write.

However, they add, Raman spectra from natural geological samples are often complex, including “overlapping vibrational modes, heterogeneous backgrounds, and chemistry-dependent band shifts.” Until now, this complexity has made interpreting samples based on individual spectral peaks or qualitative inspection inherently challenging.

“Identifying reliable biosignatures that can be detected by flight-ready instruments, such as Raman spectroscopy, remains a central challenge in astrobiology,” the researchers explain. “Developing robust mineralogical indicators of life therefore represents a critical and complementary approach for planetary exploration.”

Approach Distinguishes Abiotic and Biotic Features

To test their approach, the team focused on the mineral apatite. A ubiquitous phosphate, the team notes that apatite can be found “in terrestrial and extraterrestrial environments.” Although apatite is a major component of biological formations such as teeth and bones, it also forms naturally, providing an opportunity to search for biosignatures over much longer timescales if scientists can differentiate the two.

“Here, we integrate Raman spectroscopy with interpretable machine learning to distinguish biotic from abiotic apatite, a ubiquitous phosphate mineral in terrestrial and extraterrestrial environments,” the researchers write.

First, Hazen and colleagues compiled 331 Raman spectra samples. Critically, they included only specimens with known origin attributes: biogenic, abiogenic, or synthetic.

Next, they used this data to extract 21 “band-resolved features.” This was accomplished by training a random forest classifier to identify the “most diagnostic” features of each sample.

“Determining the origin of a sample involves assessing multiple independently varying features of a Raman spectrum, including band positions, widths, and relative intensities, the type of multivariate analysis well suited to machine learning,” the study authors explain.

After some comparative analysis, the team ultimately determined that a sample’s carbonate band and the width of the dominant phosphate band, “reflecting chemical composition and crystal structure, respectively,” were the strongest indicators of biological, natural, or synthetic origin.

After using their method to check the 311 samples, the team said the model successfully  distinguished biotic from abiotic apatite “with classification accuracy exceeding 96%.” In fact, the team reported that their mineral-based biosignature detection method misidentified only one biotic apatite sample as abiotic and one abiotic sample as biological.

“Here, we show that biologically formed apatite can be distinguished from abiotic counterparts using interpretable machine learning applied to Raman spectra,” the study authors write.

Life Detection Across Diverse Planetary Environments

When discussing the potential implications of their new mineral-based biosignature detection approach, the team noted that their findings establish a “broadly applicable and mission-relevant strategy for deep-time archives and future planetary missions.” More broadly, the researchers note that their findings highlight the “growing importance of combining flight-ready analytical instruments with AI” to fully leverage datasets already captured by Mars rovers and other “in situ” planetary missions.

“As planetary exploration increasingly shifts toward autonomous decision-making and target selection, the integration of interpretable AI with mineralogical biosignatures offers a powerful and extensible framework,” they write.

Beyond mineral-based biosignature detection strategies, the research team notes that future life hunting missions will “increasingly rely on the joint interpretation of mineralogical and organic spectroscopic signatures.” These include on-board py-GC-MS measurements, infrared spectroscopy, luminescence, laser-induced breakdown spectroscopy, X-ray fluorescence, and “other analytic methods.”

Future approaches will increasingly rely on AI to analyze these disparate datasets, which the authors note will allow for biologically mediated patterns to be distinguished from natural or synthetic backgrounds “in a physically and chemically consistent manner.”

“In this context, such an integrative and interpretable framework provides a pathway toward autonomous, mechanism-informed life detection across diverse planetary environments, advancing the broader goals of planetary science in understanding habitability, biosignature preservation, and the coevolution of geology and biology,” the authors conclude.

The study “Mineral biosignature identification from Raman spectroscopy using machine learning” was published in PNAS Nexus. 

Christopher Plain is a Science Fiction and Fantasy novelist and Head Science Writer at The Debrief. Follow and connect with him on X, learn about his books at plainfiction.com, or email him directly at christopher@thedebrief.org.

Last summer, astronomers were observing the near approach of a space object believed to be an asteroid that had been tracked since its discovery in 1998. However, in a surprising development, the object failed to appear where it was predicted to be after decades of observations.

Now, a team of researchers reports in a new study that this mysterious orbital body is no asteroid at all, but instead may be an elusive class of space objects that scientists are still working to fully understand.

The research, published in the journal Nature Astronomy, identifies the newly suspected reasons for this unexpected “dark” twist in the developing story of 1998 SH2, a celestial body once thought to be a common space rock that is now upending past thinking on how to protect Earth from potential impact risks.

1998 SH2’s August Surprise

Since its discovery in 1998, the object designated 1998 SH2 has been monitored by astronomers continuously, providing close to three decades of observations that inform us about its orbit, leaving what researchers thought would be little room for surprises.

That all changed last August as the anticipated return of 1998 SH2 approached. Based on radar observations, the object appeared to be absent from its expected orbital path—a mystery that initially baffled astronomers.

Eventually, once the near-Earth object was spotted again by Brazil’s Southern Observatory for Near Earth Asteroids Research, it had moved significantly beyond its expected path. But what could account for such an unusual display?

When AN Asteroid Goes “Dark”

Now, according to Jet Propulsion Lab and CalTech researcher Davide Farnocchia and colleagues, 1998 SH2 was likely steered off course as a result of jets of gas escaping from beneath the object’s surface—a phenomenon known as weak cometary outgassing—meaning that the suspected asteroid is actually probably a type of comet.

However, unlike most comets, this one showed none of the typical characteristics astronomers associate with them, including a glowing tail or coma. This helped to explain the confusion over its initial classification, and additional observations of layered composite imagery did finally reveal these features, albeit faintly.

This confirmation that the object was indeed releasing material meant that 1998 SH2 was a rare variety of space objects known as dark comets, enigmatic bodies whose subtle behavior falls somewhere between comets and asteroids.

Planetary Defense Implications

One of the more concerning aspects of the discovery involves 1998 SH2’s unexpected orbital shift, which presents the question of whether other suspected asteroids might turn out to be dark comets. If so, could any of these shifty space objects pose a risk to Earth?

Fortunately, Farnocchia and his colleagues say there is currently no indication that 1998 SH2 poses an impact threat to Earth in the foreseeable future. Still, the team’s findings do have important implications for planetary defense, since their findings underscore the possibility that additional near-Earth objects currently classified as asteroids may turn out to be hidden comets.

Given the unpredictable orbital shifts and changes in acceleration these objects display, challenges associated with identifying and tracking them could complicate long-term impact forecasts, and influence how future deflection missions are designed.

Fortunately, the team’s study also highlights beneficial findings, which include the possibility that a hidden population of dark comets could potentially resolve questions about how water was delivered throughout the early solar system, eventually making its way to a young planet Earth billions of years ago.

Additionally, such possibilities could help to explain past observations of enigmatic objects like ‘Oumuamua, the first confirmed interstellar object, whose detection in 2017 and unexplained acceleration during subsequent observations have fueled scientific debate over its origins for many years.

Farnocchia and his colleagues’ new paper, “Non-gravitational acceleration indicative of cometary activity of near-Earth object,” appeared in Nature Astronomy.

Micah Hanks is the Editor-in-Chief and Co-Founder of The Debrief. A longtime reporter on science, defense, and technology with a focus on space and astronomy, he can be reached at micah@thedebrief.org. Follow him on X @MicahHanks, and at micahhanks.com.

For decades, paleoanthropologists have largely agreed that somewhere along the evolutionary course from apelike ancestors to modern humans, our bodies got dramatically larger. However, one lingering mystery has been when this intense growth began.

Did our ancestors gradually grow bigger over millions of years? Did the shift coincide with the emergence of the genus Homo? Or did it occur later, after some of the earliest human species had already appeared?

A new study published in the Proceedings of the National Academy of Sciences (PNAS) argues that the answer is more complex than any single theory has suggested.

Rather than supporting a single long-standing hypothesis, researchers used a sophisticated statistical method to show that human body size likely followed two evolutionary courses simultaneously: a slow, steady increase spanning millions of years, punctuated by a much larger leap in later members of the genus Homo.

The findings help reconcile decades of conflicting research while offering one of the clearest pictures yet of how, and perhaps why, our ancestors evolved into larger-bodied humans.

“Despite its central role in hominin evolution, there is little consensus on how body size increased through time,” researchers write. “We provide strong evidence for a marked size increase in later-occurring Homo, alongside a moderate general increase over time among all hominins.”

Body size is one of the defining characteristics of an organism. In humans and our extinct relatives, it has been linked to everything from brain expansion and walking efficiency to metabolism, hunting behavior, and the ability to travel across increasingly large landscapes. Understanding when body size changed, therefore, helps researchers reconstruct not only what our ancestors looked like, but how they lived.

Yet despite decades of fossil findings, scientists have struggled to agree on the evolutionary pattern behind those changes.

Some previous studies suggested that hominins simply became larger over time. Some contended that body size remained relatively stable until the emergence of Homo. Still others have proposed that the real transformation arose only after early species such as Homo habilis, often regarded as one of the first members of our genus.

According to researchers, one reason for the disagreement is that earlier analyses typically examined these competing ideas independently. They also often failed to account for uncertainties inherent in the fossil record, including disagreements over species classification, differences in body mass estimation methods, and uncertainties in evolutionary relationships among fossil species.

To address those limitations, researchers compiled one of the largest hominin body-size datasets assembled to date, incorporating body mass assessments from 386 fossil specimens representing 21 different taxa.

They then analyzed the data using Bayesian phylogenetic generalized linear mixed models—a statistical approach that accounts for evolutionary relationships while encompassing multiple layers of uncertainty.

The team repeated its analyses across 1,000 different phylogenetic trees and 1,000 separate datasets, allowing them to test whether the overall pattern remained consistent despite uncertainties.

The results pointed to two simultaneous trends.

The first was a modest but persistent increase in body size across the hominin family as a whole. On average, body mass increased by roughly 2 pounds (0.9 kilograms) every million years, suggesting that larger bodies gradually became more common throughout human evolution.

However, the second trend proved far more dramatic.

Instead of all members of Homo becoming substantially larger, the researchers found the strongest evidence for a distinct jump in body size among later members of the genus, particularly species that appeared after Homo habilis. That pattern regularly emerged regardless of how the fossil data were analyzed.

In other words, early members of Homo may not have represented the major biological turning point scientists once assumed.

This finding disputes a common assumption that simply belonging to the genus Homo meant possessing a significantly larger body. Instead, the study suggests that some hallmark features traditionally associated with humans, including larger body size, may have evolved after the genus’s origin.

That interpretation also corresponds to broader changes that occurred later in human evolution.

Researchers note that this period coincides with evidence for more efficient upright walking, greater reliance on meat consumption, and expanding home ranges. Larger bodies may have been both a consequence of and a contributor to those behavioral and ecological shifts.

The study likewise reinforces another growing theme that evolution rarely follows a straight line.

Species such as Homo floresiensis, often nicknamed the “Hobbit” because of its diminutive stature, and Homo Naledi frequently appeared as outliers with unusually small body sizes despite belonging to relatively recent branches of the human family tree. Their existence demonstrates that body size did not simply increase in a uniform march toward modern humans.

Instead, evolution repeatedly experimented with different solutions depending on local environments and ecological constraints.

The researchers also argue that part of the longstanding disagreement over body-size evolution stems from the fossil record itself. Different studies have estimated fossil body masses using different skeletal elements, comparison populations, and statistical techniques, sometimes producing substantially different results for the same individual.

By expressly incorporating those uncertainties into their analysis, rather than treating them as fixed values, the new framework seeks to capture the range of plausible evolutionary scenarios rather than relying on a single interpretation.

Even so, researchers caution that important questions remain unresolved.

Improved fossil discoveries, more accurate body-mass estimation methods, and a better understanding of species relationships could all further refine the picture. The study also does not explicitly account for sexual size differences between males and females, which may have been greater in some early hominin species than in modern humans.

Nevertheless, the wider conclusion is intriguing.

Rather than choosing between competing theories, the evidence suggests both contain elements of the truth.

Body size did increase gradually across the hominin lineage. But the most considerable leap appears to have occurred later, after the earliest representatives of Homo had already evolved.

That conclusion may help settle one of paleoanthropology’s longest-running debates while showing how advances in statistical methods are transforming scientists’ ability to extract new insights from fossils that have often been studied for decades.

“Overall, these findings bring clarity to a fundamental question in human evolution and show how the application of rigorous phylogenetic comparative tools can unlock patterns previously hidden in the fossil record while accounting for multiple sources of uncertainty,” researchers write. “By reconciling conflicting findings within a single framework, our results clarify key evolutionary transitions and highlight the complex nature of body size change in human evolution.”

Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan.  Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com 

In a major new confirmation of Einstein’s Theory of Relativity, the LARES-2 (Laser Relativity Satellite 2) has measured frame dragging around Earth with unprecedented precision.

Ignazio Ciufolini of China’s Wuhan Institute of Physics and Mathematics led the team behind a new paper published in Nature reporting the most precise measurement of the effect to date. The researchers reduced the uncertainty to just 0.2 percent, compared with several percent—and in some cases as much as 10 percent—in previous measurements.

Also known as the Lense-Thirring effect, named for the physicists who modeled it in 1918, frame dragging is the pull of a rotating mass on spacetime. The phenomenon was first predicted in Einstein’s Theory of Relativity.

Seeking Frame Dragging

Frame dragging becomes more pronounced around faster-spinning and more massive objects. For this reason, its effects are far stronger around black holes than around comparatively small bodies such as Earth. Some black holes possess millions or even billions of times the Sun’s mass, producing an immense distortion of the surrounding spacetime.

LARES-2, a satellite developed by the Italian Space Agency, made the new measurement possible. Its appearance has been compared to a golf ball or a disco ball, with its 303 corner-cube retroreflectors creating golf-ball-like divots on its surface, which is composed of a nickel-chromium alloy called Inconel 718.

The spacecraft is remarkably simple, with no thrusters, solar panels, or onboard electronics cluttering its compact, 16-inch-wide frame. Despite its small size, LARES-2 weighs roughly 650 pounds. This combination gives it the lowest area-to-mass ratio of any satellite in medium Earth orbit, minimizing the influence of nongravitational forces on its motion.

Measuring Frame Dragging

The effect of gravitation on the object was then measured by bombarding it with ground-based lasers, which the retroreflectors bounce back to the surface. Ciufolini’s team collected roughly 200,000 of these observations between July 2022 and June 2025, with one-millimeter precision, forming the dataset from which they calculated the frame-dragging effect.

The method presents a significant challenge, however. Earth is an oblate spheroid, with bulging sides created by centrifugal force, rather than a perfect sphere, which produces Newtonian forces that interfere with the frame-dragging signal. To mitigate this issue, the researchers used another satellite in a supplementary orbit, canceling out the effect of the opposing Newtonian forces.

That second satellite was NASA’s LAGEOS, launched in 1976. The orbital planes of LAGEOS and LARES-2 differ by 180.01 degrees—remarkably close to the ideal separation of 180 degrees.

A Final Challenge

One additional complication remained: the K1 lunisolar tide, a variation in Earth’s gravitational field produced by the combined influence of the Moon and Sun. Time provided the solution. Over the tide’s 1,050-day precession cycle, its effects average out and can be removed from the data.

After accounting for these sources of interference, the researchers measured a drift of 61.3 milliarcseconds per year in the satellites’ orbits caused by Earth’s frame dragging. The result closely matches the value predicted by general relativity, with only a narrow margin of uncertainty.

The researchers say the true value of their finding lies not just in confirming general relativity, but also in limiting the scope of the Chern-Simons theory, which seeks to reconcile general relativity with quantum mechanics for a Theory of Everything. Of more limited concern, the work also provided the most precise K1 tide measurement ever recorded, which could prove important to future Earth science research.

The paper, “LARES-2 Satellite Measures Frame-Dragging Effect Around the Earth,” appeared in Nature on July 8, 2026.

Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.

New research is revealing possible links between one of the most enduring cosmic mysteries—dark matter—and the existence of a “hidden” fifth dimension.

Dark matter is widely believed to exist according to several leading cosmological theories, although this nonluminous material remains invisible through direct detection. However, its presence can be inferred through the gravitational influence this mysterious form of matter has on the surrounding universe.

Now, according to researchers at the University of Sheffield, one reason dark matter may have remained so elusive involves the possibility that it exists within a “hidden” dimension—a concept that has gained traction in past research.

The Sheffield team’s recent look at this possibility, detailed in a study published in Physical Review D, takes the concept one step further by introducing a new potential framework that could help reveal clues to the behavior of dark matter, as well as why astronomers have had such a hard time detecting it.

A Dark Secret Lurking in a Hidden Dimension?

In their new research, the Sheffield team says that dark matter may be lurking within a hidden dimension accompanied by dark photons, a variety of particles among those which physicists call “hidden sector particles,” and which are believed to represent potential force carriers for dark matter.

Due to the specific geometry present within this hidden dimension, a phenomenon known as dark matter resonance may occur, where dark photons align in specific arrangements.

“Dark matter resonance is already known to be a powerful idea,” according to Yu-Dai Tsai, Ph.D., a Royal Society Dorothy Hodgkin Senior Research Fellow at the University of Sheffield and one of the new paper’s coauthors.

Tsai adds that the concept has “the potential to change our understanding of how dark matter was produced in the early universe and how we search for it today,” although reconciling it with our current understanding of dark matter has presented issues for researchers in the past, which include questions about its specific origins.

“Many previous resonant dark matter models have treated the resonance as an assumption,” Tsai recently said in a statement. “[Our team’s] work gives a possible deeper origin for it: The resonance may come directly from the geometry of hidden dimensions.”

Unlocking Dark Matter Resonance

According to Tsai and his co-author, Taegyu Lee, understanding dark matter resonance more fully could hold significant implications for unlocking new clues about how matter behaved at early stages in our universe, and why that may differ significantly from what astrophysicists see occurring right now.

“This resonance can make dark matter interactions much stronger at crucial epochs in cosmic history,” Tsai says. “Crucially, the model allows for these strong interactions in the past while still explaining why dark matter appears so inert and hard to detect today.”

Although Tsai concedes that the concept of dark matter resonance has been explored in the past, unlike previous studies, the Sheffield duo’s new work suggests that dark matter may essentially be “in tune” with conditions in a hidden fifth dimension already, arising naturally from its innate mathematical structure.

Tsai says this approach toward understanding dark matter, if correct, “would represent a profound advance in humanity’s knowledge of the cosmos and what it is made of.”

A New Approach Toward Unraveling Dark Matter’s Mysteries 

Fundamentally, the team’s findings point to promising new ways physicists may be able to explore the underlying mysteries of both dark matter and the possibility of additional dimensions in which it may operate.

“Our research gives physicists clear new targets in the search for dark matter,” Tsai says, “while connecting two of the biggest ideas in fundamental physics: the mystery of dark matter and the existence of hidden dimensions.”

The recent study, “Naturally resonant dark matter from extra dimensions,” by Yu-Dai Tsai and Taegyu Lee, appeared in Physical Review D on July 8, 2026.

Micah Hanks is the Editor-in-Chief and Co-Founder of The Debrief. A longtime reporter on science, defense, and technology with a focus on space and astronomy, he can be reached at micah@thedebrief.org. Follow him on X @MicahHanks, and at micahhanks.com.

The future of military artificial intelligence may not be a single all-knowing machine directing a battlefield from a distant command center. Instead, DARPA is preparing to explore enormous collectives of AI agents capable of organizing themselves, dividing up missions, adapting to chaos, and continuing to operate even when some members of the group fail, disappear, or go rogue.

The Defense Advanced Research Projects Agency (DARPA) has formally launched a new effort called Decentralized Artificial Intelligence by Controlled Emergence, or DICE, aimed at developing AI collectives that can operate in contested environments without requiring a human or central AI planner to explicitly direct every action.

By the program’s final phase, DARPA wants researchers to test simulated collectives involving as many as 100,000 AI agents exchanging up to 1 million messages as they work toward shared objectives.

A recently released solicitation notice describes DICE as a 36-month effort divided between decentralization, adversarial robustness, and large-scale testing.

“Future conflicts will unfold at machine speed, and the current centralized planning and scripted orchestration approach is too slow, too rigid, and too predictable for the hyper-dynamic, contested environments of the future,” researchers write. “Surprise, adaptability, and resilience will depend on the ability to compose and recompose AI capabilities on demand.”

The basic premise behind DARPA’s DICE program is that today’s approach to multi-agent AI has a serious weakness. Most systems involving multiple AI agents still rely on some form of central orchestrator.

Think of it as a manager overseeing a team of specialized employees. One AI agent might gather information. Another analyzes it. A third creates a plan. A fourth executes a particular task. But somewhere in the system, a central planner or workflow typically decides who does what and combines the results.

That works reasonably well for predictable tasks. However, DARPA argues it may be dangerously vulnerable on a battlefield.

A central orchestrator creates a bottleneck because every increasingly complex mission must ultimately flow through a single decision-making structure. As the number of agents, roles, and interactions grows, the central planner must absorb more information, preserve greater context, and coordinate an expanding web of specialized systems.

Eventually, DARPA says, even an AI orchestrator can hit the context and inference limits of its underlying foundation model. There is also a more obvious military problem. A central command node is a single point of failure.

If communications are degraded, information arrives late, or the orchestrator itself is compromised, errors can potentially spread throughout the entire AI collective.

In a future conflict where electronic warfare, cyberattacks, deception, and broken communications are expected rather than exceptional, that vulnerability could be catastrophic.

DICE proposes a radically different model.

Rather than having a central AI issue instructions, individual AI agents would communicate directly with one another. They could form temporary teams, divide missions into smaller tasks, negotiate roles, combine incomplete information, and reorganize themselves when conditions change.

DARPA compares the idea to the architecture of the internet, where resilient global behavior can emerge from relatively simple local rules and decentralized interactions.

Essentially, an AI agent might receive a mission and determine that only part of the objective falls within its capabilities. The agent could volunteer to handle that portion and broadcast the remaining problem to neighboring agents.

Another agent might take the next task. Others could compete to perform the same job, potentially bidding based on cost or capability. Through repeated local interactions along with distributed consensus, the collective could gradually assemble its own mission plan.

If an agent fails, the entire mission does not necessarily need to be replanned. Its particular task could simply be offered back to the collective.

DARPA calls the larger concept “controlled emergence.”

Similar systems already exist in nature. Ant colonies, or flocks of birds, can engage in surprisingly complex group behavior even though no individual member possesses a complete understanding of the collective.

Computer scientists have long studied similar phenomena. DARPA’s solicitation even points to Conway’s Game of Life, the famous mathematical simulation in which extraordinarily complex patterns can emerge from a handful of simple rules.

The challenge is applying that principle to cognitive systems capable of reasoning, planning, and independently pursuing goals.

A sophisticated AI system may interpret ambiguous information, interact with tools, maintain memory, and generate its own intermediate objectives. Put thousands of such agents together, allow them to communicate, and the resulting collective could behave in ways that were never explicitly programmed.

That unpredictability is both the attraction and the danger of DICE.

DARPA wants the collective to remain creative enough to discover unexpected courses of action. However, it also wants individual agents to continue aligned with their designated roles, the wider mission, established doctrine, and ultimately the human user’s intent.

Too much control could produce a predictable but unstable AI force incapable of adapting. Too little control could allow agents to drift from their roles or develop what DARPA calls “instrumental goals” that are not consistent with the mission.

In other words, the Pentagon’s research arm wants emergence—but only within boundaries.

To solve the problem, DICE researchers will develop a local adaptor designed to interface with each AI agent. Rather than functioning as a central command system, each adaptor would operate locally, helping the agent coordinate with peers while simultaneously monitoring and modifying its behavior.

For AI models whose internal activations are accessible, researchers may experiment with techniques such as “activation steering.”

The simplified idea is that assigning an AI a particular role can create detectable patterns inside the model. Researchers may be able to identify a mathematical representation associated with that role and continuously steer the model back toward it when the agent begins to drift. DARPA describes these representations as potential “role vectors.”

For proprietary or black-box AI models whose internal activations cannot be directly examined, the challenge becomes considerably harder. DICE researchers may instead experiment with memory editing, context engineering, tool restrictions, or even game-theoretic incentives created to encourage collaborative behavior.

The solicitation draws an intriguing comparison to the way social norms emerge and spread among humans. As AI models become better at reasoning and more aware of the context in which they operate, DARPA suggests that the same growing sophistication that fuels fears about rogue AI could also provide a new way to control it.

The scale DARPA ultimately envisions is enormous.

During the first nine-month phase of DICE, simulated missions are expected to involve approximately 500 agents and 5,000 interactions. DARPA will compare the decentralized systems with state-of-the-art centrally orchestrated multi-agent AI systems.

The second phase increases the target to 5,000 agents and 50,000 interactions while introducing adversarial conditions. Agents may fail, receive deceptive information, or deliberately behave as compromised or rogue members of the collective.

By the final 12-month phase, DICE aims to test simulations involving 100,000 agents and 1 million interactions.

At that scale, DARPA is not simply studying better chatbots working together. The agency is exploring whether collective intelligence itself can become a military capability.

One example described in the solicitation imagines AI agents conducting operational planning across an entire conflict ecosystem. Some agents could negotiate for raw materials in contested areas. Others might manage supply chains, optimize manufacturing, deploy units, conduct battle management, or analyze post-battle damage.

Even an individual simulated drone could effectively become a miniature AI collective composed of separate navigation, perception, and networking agents.

Under the DICE concept, those capabilities may potentially be recombined as conditions change. DARPA offers the example of a surveillance drone being repurposed as a network router because the collective recognizes an emerging communications need.

The important distinction is that no central planner necessarily has to foresee that solution. The collective discovers it.

Still, DARPA is careful to note that DICE is a research program centered on simulation. The agency’s public program page explicitly states that its scope does not include developing or launching autonomous systems in the real world.

Instead, DICE will use Department of War-relevant simulated environments to measure whether decentralized AI collectives can outperform today’s centrally orchestrated systems. Those simulations may resemble extraordinarily large and complicated strategy games.

DARPA suggests researchers could draw inspiration from StarCraft or massively multiplayer online role-playing games, although the environments must remain relevant to military problems. High-fidelity physics is not necessarily required. In fact, rendering every drone, vehicle, or battlefield interaction in photorealistic detail could make a simulation of 100,000 AI agents computationally impossible.

The focus is on reasoning. DARPA wants to know whether thousands of AI agents can gather and combine fragmented information without simply reinforcing one another’s incorrect assumptions. The systems will be tested on their ability to recognize deception, isolate compromised agents, adapt when communications fail, and remain focused on a mission across thousands of reasoning steps.

Perhaps most importantly, DICE is designed to examine how these massive AI collectives behave when their interactions yield outcomes their designers never anticipated.

DARPA explicitly wants its test environments to provoke emergent collaboration, competition, and even collusion.

During later phases, DICE teams will face one another in simulated “team vs team playoffs.” The second phase will culminate in a competition used to select which research teams advance. The final phase will feature another head-to-head competition after the systems have been pushed toward full scale.

By Phase 3, the program will bring in another significant complication: AI agents creating other AI agents. That progression draws attention to the deeper tension at the center of DICE.

For years, much of the AI safety debate has focused on preventing autonomous systems from exhibiting unforeseen behavior. DARPA is approaching the problem from a different direction. The agency appears to believe that, in future contested environments, some degree of unforeseen behavior may be precisely what gives an AI collective its value.

A perfectly scripted system is predictable not only to its commanders but potentially to an adversary.

DICE is therefore attempting something considerably more ambitious than building a larger multi-agent AI framework. DARPA wants to understand whether engineers can deliberately cultivate emergent machine intelligence, allow it enough freedom to improvise, and still build controls capable of keeping an enormous AI collective aligned with a human-defined mission.

Whether those competing demands can coexist remains an open question. The program’s own solicitation repeatedly acknowledges the possibility of role drift, deceptive agents, collusion, compromised systems, and AI agents independently developing misaligned actions.

Ultimately, those are not side issues. They are the fundamental questions the DICE program was created to answer.

“DICE is built for such autonomy-powered, high-tempo battlespace,” the solicitation notice reads. “It is a future where success is measured by the relentless, creative ability of an autonomous collective to execute missions in the face of chaos and uncertainty. This is a profound and necessary departure from the past.”

Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan.  Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com 

As Christopher Nolan’s The Odyssey arrives in theaters, archaeologists working off the western coast of Greece say a real-life cult site devoted to the legendary story’s hero has been uncovered.

Local traditions had long told of a stony hilltop on the Greek island of Ithaca that had once been home to a shrine to Odysseus, the legendary Greek king of the isle and main protagonist in Homer’s famous poem.

Now, after close to two decades of archaeological work on the island that served as home to the fictional king in Homer’s epic literature, archaeologists say they have uncovered the most compelling evidence yet that a genuine historical cult site had existed there, dedicated to the famed hero of The Odyssey.

An Ancient Cult Site Devoted to Odysseus

Researchers with the University of Ioannina recently revealed the discovery of new inscriptions and artifacts supporting the existence of a cult element devoted to Odysseus, uncovered at the ancient complex at Agios Athanasios, which had been a public sanctuary devoted to the worship of Homer’s famous hero during the Hellenistic and early Roman periods.

According to a statement released by the Greek Ministry of Culture, the building complex is characterized by a series of robust structures located on terraces, which involve several monumental elements featuring carved architecture and niches for what appear to have been votive offerings or inscriptions, all of which point to its use as a cult site.

Yannos Lolos, one of the project’s lead archaeologists, recently told ArtNet that the site’s role was revealed partially through a reexamination of existing materials found there, which helped reveal what he calls “new and strong inscriptional evidence” linking the site to Odysseus.

Bronze Bust and Inscription Discoveries

Among the most important discoveries at the site were a small bronze bust of Odysseus dating to the first or second century C.E., as well as a roof tile fragment which bore an inscription that reads, “to Odysseus.”

However, an even more compelling discovery involved a second stamped roof tile inscribed with the hero’s name but appearing in the Greek genitive case; this is significant, since it indicates ownership, thereby identifying the sanctuary as “belonging” to Odysseus.

Based on current evidence, organized cult worship is believed to have begun at the site by around the late fourth century B.C.E., which places its use at around 500 years after Homer composed his famous epic poem, and almost a full millennium after the legendary events the epic describes.

The physical sanctuary itself was built onto a massive natural rock formation, and remnants of the ancient structure include a primary tower, a large oblong building, and terraces which were carved directly into the underlying bedrock.

Excavations over the last several years have also revealed the site’s deeper history, which points to evidence of earlier Mycenaean occupation during the 13th and 14th centuries B.C.E., at which time the site had likely served as a strategic center overseeing nearby harbors and local water resources.

A Discovery with Legendary Significance

In a statement, the Greek Ministry of Culture said the two new engravings arrives “in combination with the other available data, to document the development of a prominent public complex at the site,” which it said help to establish the “major role in the religious, social and possibly political life of the Ithacians of the Hellenistic-early Roman periods, but also with a broader pilgrimage character.”

The recognition of this ancient cult site only adds to the existing evidence that already supported worship of Odysseus on Ithaca. Past discoveries have revealed ancient coins depicting the hero, found near ritual offerings at Ithaca, which were also linked to cult activities. However, the identification of the sanctuary offers the most conclusive archaeological evidence to date that Homer’s legendary hero had been the cult’s focus.

Of course, these discoveries fall short of establishing Odysseus as a true historical figure, and most scholars agree that Odysseus was a fictional character born out of traditions that incorporated real places and events into their broader mythos.

However, in at least a few instances, the lines between myth and ancient history have been blurred—a famous example being Heinrich Schliemann’s identification of a site (originally discovered by British amateur archaeologist Frank Calvert, with his identification of the mound of Hisarlik) which helped reveal the archaeological reality behind the city of Troy, which had previously been considered a mythical location.

It was also reported last year that an archaeological discovery resembling the “labyrinth” from Greek mythology had been uncovered on Crete, in a discovery some have called “one of the most important archaeological finds” of the century.

Although the discoveries at Ithaca don’t establish Homer’s Odysseus as a historical figure in this way, they do confirm that centuries after The Odyssey was composed, inhabitants of Ithaca engaged in cult activities to honor the legendary king at a sanctuary on the island, which, according to legend, he once ruled.

Additional details about the site and discoveries made there in recent years can be found at the Greek Ministry of Culture website.

Micah Hanks is the Editor-in-Chief and Co-Founder of The Debrief. A longtime reporter on science, defense, and technology with a focus on space and astronomy, he can be reached at micah@thedebrief.org. Follow him on X @MicahHanks, and at micahhanks.com.

James Webb Space Telescope (JWST) observations have astronomers on the brink of solving another long-standing astronomical mystery: how do supermassive black holes feed?

Astronomers from the Université de Montréal led an international team in the new research, reported in a recent paper in The Astrophysical Journal, which presents the clearest images ever recorded of gaseous filaments connecting a galaxy’s atmosphere to the rotating disk that the supermassive black hole feeds on.

The team’s analysis of the data paves the way toward understanding how black holes consume matter, a mystery that has stumped astronomers for decades.

Strange Black Hole Feeding

“JWST observations are offering us thousands of new facts and measurements, and I can report it’s a lot to absorb,” said co-author Megan Donahue, MSU University Distinguished Professor of physics and astronomy. “We are all working together to solve the astrophysics questions about how these black holes get their fuel and how they interact with their host galaxy.”

Supermassive black holes anchor most galaxies in the universe, with masses ranging from millions to billions of times that of the Sun. In active galactic nuclei (AGN), these central black holes both consume enormous amounts of surrounding material and unleash powerful jets that shape the galaxies around them.

This activity presents a longstanding puzzle. Because an AGN’s jets heat the surrounding gas, they should effectively cut off the black hole’s fuel supply, leaving astronomers to wonder how it continues to accrete matter.

Testing a Hypothesis

To investigate, the researchers tested the leading explanation: that heated gas eventually cools, condenses into long filaments, and falls back toward the galactic center, replenishing the black hole’s supply of material.

They turned JWST toward one of the best natural laboratories for studying AGN: the galaxy NGC 4696, located at the heart of the Centaurus Cluster, roughly 145 million light-years from Earth.

Using JWST’s NIRSpec instrument, the team collected eight hours of observations, mapping the motion of gas deep within the galaxy—where the black hole’s gravitational influence dominates—at a resolution of about 30 light-years.

Their observations revealed an 800-light-year-wide disk of gas orbiting the supermassive black hole at roughly 600 kilometers per second. Connected to this rapidly rotating disk was a large infalling filament, funneling gas inward to feed the AGN.

Feeding Cycle of the Black Hole

The discovery fills in a crucial missing piece of the puzzle surrounding how supermassive black holes sustain themselves. The researchers propose that after the black hole injects energy into the surrounding gas, heating it, that material eventually cools and collapses into thin filaments stretching hundreds of thousands of light-years. Guided by magnetic fields, these filaments then fall toward the galaxy’s center, where they accumulate in the rotating accretion disk.

The team also ran a series of computer simulations based on this model and found that the predicted behavior closely matched what JWST observed. While additional observations will be needed to confirm the results, the findings provide strong support for the filament-feeding hypothesis.

“It’s been really exciting to participate in this project,” co-author Mark Voit, an MSU Physics and Astronomy Professor, said in a statement.

“Calculations done by our Michigan State group predict that magnetic fields should help feed the universe’s biggest black holes by channeling cool gas toward them, and it’s amazing to see that happening in these JWST images,” he added.

The paper, “JWST Reveals How Lack Holes Are Fed: Kiloparsec-Scale Multiphase Filaments Feed Sub-Kiloparsec Circumnuclear Disks,” appeared in The Astrophysical Journal Letters on July 14, 2026.

Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.

Scientists from the Norwegian University of Science and Technology have unveiled a method for tracking silently moving underwater and surface objects by using existing fiber-optic cables to measure water displacement.

The scientists behind the novel detection approach, which was designed to detect whales even when they aren’t vocalizing, also demonstrated the method’s ability to track surface ships and potentially underwater vessels, such as submarines, that traditionally rely on silence for stealth.

Tracking Silently Moving Whales and Other Objects

In the research team’s study, the authors explain that it is already possible to record and reconstruct marine mammal vocalizations, including those of whales, using seabed fiber-optic cables. They note that the current method, called distributed acoustic sensing (DAS), allows scientists to passively monitor whale behavior, “enabling both the detection of vocalizations and the simultaneous tracking of multiple individuals.”

However, they add, although this data can prove valuable in tracking these increasingly endangered animals, “it has not been possible to track marine mammals when they are silent.”

“A fundamental limitation of passive acoustic monitoring is that most methods rely on acoustic data, which is only available when whales vocalize,” the study authors explain, adding that this limitation “clearly demonstrates the need for new sensing methods that can detect silent whales.”

Although the researchers propose several methods, including combining DAS data with satellite and observational data to paint a more complete picture, they also note a “second path” that involves exploring current datasets to discover new, valuable acoustic signatures even when the animals are silent.

Detecting Hydrodynamic Pressure Changes Caused by Ships and Animals

When exploring new ways to interpret DAS data collected by seabed fiber-optic cables, the team explained how low-frequency strain variations may arise from “a range of physical mechanisms.” These include hydrodynamic processes “associated with moving objects.”

For example, the authors explain, when a ship moves across the ocean surface, it pushes water ahead of it and draws water along in its wake. This motion through the water medium generates a strain on the surrounding water described as a hydrodynamic pressure field. According to the team, this motion-induced pressure field  “extends downward through the water column.”

“The displacement of water generated by moving whales and ships induces a moving hydrodynamic pressure field that extends through the water column, dynamically loading and unloading the seafloor,” they explain.

Changes in this pressure field caused by moving objects cause sediments on the ocean floor to deform laterally and vertically. In areas of the seafloor with fiberoptic cables buried underneath, the DAS system records this “lateral deformation” of the sediments, which “translates into strain that can be observed in the DAS data.”

“This means that no acoustic signal is involved, and we can ‘listen’ to silent whales,” they write.

Tests Demonstrate Tracking Surface Ships and Submerged Whales

To calibrate their approach, the team used surface ships as “proxies” in a series of field experiments. According to their study, the four interrogator units (IU) were installed “during the DAS experiment on Svalbard in 2022.” Then, another unit was installed in Longyearbyen in March 2025. Although the study focuses on the newer IUs, the team notes that all the experimental data “was used to analyze how coupling affects the detectability of hydrodynamic pressure field signatures and how the signal characteristics change with increasing source-receiver distance.”

In those experiments, the team investigated four ships of different sizes. Notably, all ships were observed at a depth of 70 to 80 meters and were traveling at roughly the same speed. Critically, ship size, speed, and route data can be verified externally, providing a check on the study’s results.

“Ships are observed in the DAS data year-round, and the AIS is available to confirm which ship is sailing above the fiber and at what time,” they explain.

As expected, they found that the DAS signal amplitude “scales with the size of the ship.” For example, the smallest ship they observed barely registered above the background noise, making it the hardest to track. Conversely, the largest vessel tracked by the team, an icebreaker, left the clearest signal.

The researchers also demonstrated the ability to observe hydrodynamic pressure and velocity signals from a cruise ship at a water depth of 413 m, “and up to 550 m from the fiber cable.” However, when the team searched for whales, the range was much more limited.

“The smaller blue whales can be observed when diving within 40 m of the fiber-optical cable,” they explain.

During a dedicated test segment, the team monitored what they interpreted as several silently moving whales traversing through the detection zone. Although they were unable to independently confirm they were whales in the same way they could confirm the ships, the team notes that “multiple lines of analysis support the interpretation that whales are responsible for the observed signals.”

The team also notes that AIS data confirmed that no acoustic ship signatures were present “in the time window studied.” They add that this result “reduces the likelihood that the observed low-frequency signals originate from vessels.”

The Signal Amplitude Decreases with Increasing Distance From the Fiber

When discussing the implications of their findings, the team said their data shows that the observed low-frequency response captured by the fiber-optic cables “is consistent with translating hydrodynamic pressure fields generated by the displacement of water by moving ships and other large bodies such as whales.”

“This sensing method enables an approach to monitoring one of the world’s most endangered species,” they explain, adding that it is even more effective at detecting submerged objects than at detecting surface ships.

“A fully submerged object generates a more symmetric pressure field, while a surface-bound ship produces a truncated field due to the air–water interface, which limits the downward extent of the pressure field,” the study authors write.

When discussing the limitations of their innovative, silent, object-tracking approach, the team notes that it is only effective for tracking smaller ships and whales at close range.

“Kvitungen is the smallest ship investigated in this work and is barely observed above the noise floor for a water depth of ∼75 m,” they write. “Blue whales are even smaller and are unlikely to be detected at distances greater than approximately 30 to 40 m from the fiber.”

The team also notes that although larger ships generate stronger signals than smaller ones, “the signal amplitude decreases with increasing distance from the fiber.”

Other limitations involved data returns suggesting whales that were either “abnormally long or surprisingly small.” The team said this seemingly impossible result “underlines that our simple model needs further development to obtain more precise results.”

The study “Detecting silent whales using seabed fiber-optic cables” was published in the Proceedings of the National Academy of Sciences (PNAS). 

Christopher Plain is a Science Fiction and Fantasy novelist and Head Science Writer at The Debrief. Follow and connect with him on X, learn about his books at plainfiction.com, or email him directly at christopher@thedebrief.org.

Scientists at the Weizmann Institute of Science have engineered Nicotiana benthamiana, a fast-growing relative of tobacco, to produce five different psychedelic compounds. 

The achievement, detailed in a study published in Science Advances, brings together biosynthetic pathways that nature distributes across three different kingdoms of life.

The five compounds (DMT, psilocybin, psilocin, bufotenin, and 5-MeO-DMT) are typically sourced from an Amazonian shrub, mushrooms, and the defensive skin glands of a desert toad. Extracting even one of these molecules from its natural source is a slow process. Producing all five in a single, easily cultivated plant had not been achieved before.

A Shared Chemical Ancestor

Despite coming from such different sources, all five of these molecules share a common origin: tryptophan, an amino acid found in every living thing. In humans, tryptophan is the building block for serotonin, which helps explain why these psychedelics interact with serotonin receptors in the brain. This shared chemistry gave the Weizmann team, led by Dr. Paula Berman and Prof. Asaph Aharoni, a logical starting point for their experiments.

The team began by focusing on DMT to address a previously unresolved question. Researchers knew the general biochemical pathway plants use to synthesize DMT, but they had not yet identified all the genes and enzymes responsible for each step. “At the heart of the study was the challenge of making DMT,” Aharoni says.

To identify the necessary genes, the team analyzed genetic material from the Amazonian chacruna shrub and an Australian acacia species. Introducing these genes into Nicotiana benthamiana allowed the plant to produce DMT within days.

Fixing a Bottleneck With One Amino Acid

The researchers applied the same gene transfer approach to the other four psychedelics, but the engineered plants initially produced only trace amounts of 5-MeO-DMT. Protein-design specialists Prof. Sarel Fleishman and Dr. Olga Khersonsky determined that the limitation was due to a poor molecular fit in one enzyme’s active site. Replacing a single amino acid resolved the issue.

“We mutated one amino acid in the sequence and got a 40-fold increase in the production of 5-MeO-DMT,” Berman says.

One Organism, Three Kingdoms

Once all five biosynthetic pathways were functioning separately, the researchers combined them within a single plant. The result was a tobacco relative capable of producing DMT from plants, psilocin and psilocybin from fungi, and bufotenin and 5-MeO-DMT from toads, all at the same time. “In effect, we created a kind of biological ‘cocktail’ — not by mixing substances externally, but by combining the underlying pathways inside one organism,” Aharoni says.

Combining all five pathways reduced the yield of each compound, as they competed for the same pool of tryptophan. The researchers also introduced bacterial enzymes to attach chlorine and bromine atoms to the psychedelic molecules, creating modified psychedelic molecules that do not naturally occur in the engineered plant. Some similar modified molecules have shown antidepressant-like effects in previous studies.

Why the Compounds Exist in the First Place

The bottleneck also highlighted a broader research question about the natural role of these compounds. These molecules likely function as defenses or as tools for interacting with microbes and insects in the organisms that produce them, rather than evolving to affect human consciousness.

“If we can move these pathways into a model plant that grows quickly and is easy to manipulate, we can start asking what these compounds actually do for the plant,” Berman explains.

A Sustainable Supply Line

There is a clear practical benefit to this approach. Plants used for ayahuasca are increasingly threatened by habitat loss and rising demand, and the Sonoran Desert toad is declining due to overcollection and habitat destruction. A fast-growing laboratory plant capable of producing these compounds within a week provides an alternative that does not rely on harvesting wild species.

The Weizmann researchers are now working on a plant that can produce the complete ayahuasca mixture, which includes both DMT and the compound required for it to be active when taken orally. They are also exploring whether these psychedelics could be produced in edible plants capable of delivering carefully regulated doses.

Whether this platform becomes a practical manufacturing system will depend on overcoming the metabolic bottleneck that currently limits production when multiple pathways operate simultaneously.

Austin Burgess is a writer and researcher with a background in sales, marketing, and data analytics. He holds an MBA, a Bachelor of Science in Business Administration, and a data analytics certification. His work focuses on breaking scientific developments, with an emphasis on emerging biology, cognitive neuroscience, and archaeological discoveries.

For thousands of years, humans have deliberately manipulated their breathing in search of something outside the ordinary waking mind. Now, scientists are finding measurable evidence that the right pattern of breathing may push consciousness into territory normally associated with psychedelic drugs.

In the first randomized controlled study to directly examine breathwork-induced altered states of consciousness, researchers found that a single 90-minute session of intense, continuous breathing produced significantly stronger psychedelic-like effects than meditation, including mystical experiences, feelings of oneness, visual changes, and powerful emotional breakthroughs.

Even more intriguingly, participants reported greater psychological understanding and behavioral changes a week later.

Published in Frontiers in Psychology, the findings add to a growing body of research investigating whether deliberately altering respiration can provide a drug-free pathway into altered states of consciousness,  possibly reproducing some of the psychological effects increasingly associated with psychedelic therapy.

The study focused on conscious connected breathing, or CCB, a form of high-ventilation breathwork involving continuous breathing without pauses between inhalation and exhalation.

Unlike the slow, deliberate breathing commonly associated with relaxation, high-ventilation breathwork intentionally increases the rate or depth of respiration.

During trials, participants continuously breathed through their mouths, actively inhaling and passively exhaling while listening to music that progressed from loud and fast-paced to progressively slower and softer over 90 minutes.

“Results from this preliminary experimental study indicate that breathwork is associated with larger acute psychedelic-like effects than meditation,” researchers write. “These exploratory relationships and preliminary observations provide greater context around breathwork-induced ASCs and support the feasibility of ASC-focused breathwork research for future confirmatory trials.”

Putting Breathwork Head-to-Head With Meditation

Breathing techniques have played a role in spiritual and contemplative practices for millennia. Yogic traditions include both slow and rapid breathing methods, while intentional respiration also appears in Qigong, Sufi dhikr, and shamanic practices.

Researchers say the scientific study of high-ventilation breathwork remains in its “embryonic” stage. However, that is slowly beginning to change.

As The Debrief previously reported, researchers using MRI and physiological measurements found that intense circular breathwork could produce altered states resembling those associated with psychedelics. The intensity of participants’ subjective experiences was tracked with changes in cerebral blood flow and autonomic nervous system activity.

However, those earlier investigations lacked a control group.

The new research, called the Airways to Alteration, or A2A, trial, attempted to address that limitation by directly comparing high-ventilation breathwork with an established contemplative practice: body scan meditation.

Researchers recruited 24 relatively healthy adults between 18 and 65. All had previously practiced conscious connected breathing without experiencing an adverse event.

Twelve participants were randomly assigned to the breathwork group. The remaining 12 underwent a 40-minute guided body scan meditation.

The researchers deliberately chose meditation as an active comparison rather than simply asking a control group to do nothing. Both groups lay on mats, used eye masks, listened to music, and participated in similar orientation and grounding procedures.

Meditation itself has also been associated with altered states and mystical experiences. In effect, the researchers were comparing two practices capable of shifting subjective awareness.

What happened next, however, was markedly different.

Breathwork Produced Stronger Mystical Experiences

Immediately after the sessions, participants completed several standardized psychological questionnaires commonly used in psychedelic research.

The breathwork group scored significantly higher in overall mystical experience, oneness, positive mood, and “ineffability”—the feeling that an experience is difficult or impossible to adequately describe in words.

On the study’s measure of total mystical experience, the median score for breathwork participants was 14. The meditation group scored 8.5.

The difference in emotional breakthrough was even more striking.

Participants who completed breathwork had a median Emotional Breakthrough Inventory score of 336. Those who meditated had a median score of 57.5.

Researchers also examined five dimensions commonly associated with altered states of consciousness. Breathwork participants reported significantly higher levels of “oceanic boundlessness” and “visionary restructuralisation.”

Oceanic boundlessness encompasses experiences including feelings of oneness, spiritual insight, bliss, and a loosening of the ordinary sense of self. Visionary restructuring includes changes in visual perception and imagery.

One participant described experiencing “very interesting visual hallucinations” alongside a “very cathartic emotional release.”

Another said the session produced stronger psychedelic qualities than they had experienced during previous breathwork sessions.

“The experience was emotional and cathartic,” the participant reported, noting that “at one time, I cried but not with sadness, more with a strong feeling of what life is all about and how incredible it is and how lucky we are.”

Not everyone described the experience as psychedelic. One participant said they remained fully present throughout the session and primarily experienced a physical and psychological release.

Still, the overall pattern revealed that compared with meditation, intense breathwork was associated with substantially stronger acute alterations in consciousness.

The Effects Didn’t Necessarily End When the Breathing Stopped

What may be the study’s most consequential finding emerged a week later. Researchers asked participants to complete a Psychological Insight Scale designed to assess meaningful personal realizations following psychedelic experiences.

The breathwork group reported a median psychological insight score of 33.67. The meditation group scored 5.83. Self-reported behavioral change followed a similar pattern. Breathwork participants had a median score of 50, compared with 5.5 among those who meditated.

Both differences represented large effect sizes.

The results suggest that the altered state produced during breathwork may be associated with psychological changes that go beyond the acute experience.

“Amongst the secondary outcomes, the breathwork group self-reported substantially greater psychological insight and accompanied behavioral change compared to the meditation group, with large effect sizes observed for both measures,” the researchers explain. “This finding suggests that breathwork could be connected to meaningful psychological breakthroughs, accompanied by translation of these insights into tangible behavioral modifications.”

The researchers caution that these personal accounts are anecdotal and that the qualitative portion of the study was limited. Still, the reports appeared broadly consistent with the measurable differences in mental insight and self-reported behavioral change.

A Surprising Connection to Sleep

The study also uncovered an unexpected difference involving sleep. Both groups showed improvements in stress, anxiety, depression, and overall mental well-being. However, researchers found a considerable difference between the two groups: breathwork produced significantly greater improvements in sleep-related impairment.

Median sleep impairment scores in the breathwork group dropped from 54.8 before the intervention to 39.2 afterward. Scores among meditation participants remained comparatively stable.

More intriguingly, improvements in sleep were correlated with the intensity of participants’ mystical experiences, feelings of oneness, and oceanic boundlessness.

In other words, participants who reported deeper altered states also tended to report greater improvements in sleep.

Exactly how the two may be connected remains unclear. The researchers note that sleep is itself an altered state of consciousness and plays an essential function in memory consolidation and insight, including the mental reorganization that can lead to new understanding. Still, the apparent link between deeper breathwork-induced altered states and improved sleep remains preliminary.

Breathwork Is Not Simply a Psychedelic Without the Drug

Despite the comparisons, researchers caution against treating every altered state of consciousness as the same phenomenon.

A psychedelic state induced by psilocybin, a hyperventilation-driven state produced through breathwork, and deep meditative absorption may overlap on psychological questionnaires. That does not mean the brain achieves those states through identical mechanisms.

Nevertheless, the similarities are difficult to ignore.

Previous research has found that high-ventilation breathwork can produce effects on standardized altered-consciousness measurements within the range observed after moderate-to-high doses of psilocybin.

The earlier neuroimaging research covered by The Debrief also found that the depth of breathwork-induced altered states tracked with changes in cerebral blood flow and autonomic nervous system activity.

This latest study takes that research one step further. Rather than simply demonstrating that breathwork can produce psychedelic-like experiences, the controlled comparison suggests those experiences are substantially more intense than the effects produced by body scan meditation under broadly similar environmental conditions.

Promising Results, but Major Limitations

Researchers repeatedly emphasize that the A2A trial was a small, exploratory study and does not yet provide evidence that breathwork is a proven replacement for psychedelic-assisted therapy.

All participants had prior breathwork experience, which may have led them to enter the experiment with expectations about what would happen. The study was also open-label, and participants knew whether they were breathing intensely or meditating.

Additionally, the breathwork session lasted 90 minutes compared with 40 minutes for meditation. Breathwork participants also listened to more intense music and were explicitly told about the possibility of expanded states of consciousness, emotional expression, and unusual physical sensations.

Those differences could have influenced the results.

The study also excluded people with a range of cardiovascular, respiratory, neurological, and psychological conditions. No adverse events were reported, but researchers acknowledge this was unsurprising, as participants had already practiced the technique without prior adverse reactions.

For that reason, the findings should not be interpreted as evidence that intense breathwork is safe or appropriate for everyone.

Future experiments will need to recruit people who have never practiced breathwork and tease apart the different ingredients involved.

The findings also leave several important questions unanswered. How much of the altered state is driven by rapid breathing itself, and how much comes from the music or group setting? Perhaps most importantly, researchers still need to determine how strongly the expectation of a profound experience shapes what a person ultimately experiences.

Yet, for a field increasingly interested in whether altered states can be harnessed for therapeutic purposes, the outcomes yield an interesting possibility.

Under carefully controlled conditions, consciously manipulating something as fundamental as breathing appears capable of profoundly changing how people experience themselves and the world around them.

“A logical next step would be replicating our study in breathwork-naïve participants to help mitigate expectancy effects and determine whether such ASCs emerge as profoundly as in experienced practitioners,” researchers write. “Future research contrasting HVB effects across participants with varying experience levels and in different environments is essential for informing the public about safe breathwork engagement.”

Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan.  Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com 

For decades, physicists have debated Richard Feynman’s famous Sprinkler Problem—the question of how a reverse sprinkler would behave—and now researchers may have finally found the answer.

Made famous in Feynman’s 1985 memoir, Surely You’re Joking, Mr. Feynman!, the problem concerns the spin direction of a sprinkler-like device inside a pool that draws water inward instead of spreading it out. The researchers revealed their experimental results, based on tests with a variety of custom sprinklers, in a recent paper published in the Proceedings of the National Academy of Sciences, adding new life to the long-standing physics debate.

Feynman Experiments

“This work provides the experimental answer for Feynman’s Sprinkler Problem by showing, across several sprinkler types, how the angular momentum of water flows drives sprinklers’ rotation,” said senior author Leif Ristroph, an associate professor at New York University’s Courant Institute School of Mathematics, Computing, and Data Science.

The significance of the work extends well beyond an esoteric question about a hypothetical device, providing new insights into the physics of fluid dynamics. Feynman famously attempted to investigate the problem experimentally during the 1940s, though his apparatus reportedly failed dramatically before producing a definitive result. During his lifetime, Feynman discouraged naming the problem after himself, noting that it built upon ideas first explored by physicist Ernst Mach in the 1880s.

“Our findings provide a firmer understanding of how components respond to fluid flows—knowledge that can guide future engineering and technological advances for devices, such as turbines, that convert these flows into energy,” said co-author Brennan Sprinkle, an assistant professor at Colorado School of Mines.

Exploring Feynman

This isn’t the team’s first work on Feynman’s Sprinkler Problem, as it builds on what they reported in an earlier 2024 paper. Unlike Feynman himself, the researchers managed to make their reverse sprinkler rotate, leading to intriguing new physics discoveries. In that work, they discovered that a reverse sprinkler would operate much like a conventional one, though at about 50 times the slower rate.

While traditional sprinklers act like a rocket of water, the Feynman sprinkler is comparable to an inside-out rocket, shooting towards the junction of the arms at the device’s center. Inside that central chamber, the team discovered something interesting: the water jets do not collide head-on, which produces the sprinkler’s reverse rotation, in what the researchers dubbed the momentum flux theory.

That 2024 study was limited to traditional sprinklers with S-shaped arms, leaving the researchers to ponder how alternate shapes would impact the water flow. After fabricating their own series of sprinkler designs, the researchers tested water flow in both forward and reverse directions, measuring torque, flow rate, and rotational motion.

Testing Theories

One of the theories they tested was Ernest Mach’s 1883 theory that the fluid and sprinkler would swirl in opposite directions, but they found it did not align with the reverse rotations and torques observed in their experiments. They also tested a theory originally attributed to Feynman and later refined by others, which suggested that water flow at the outer edges of the sprinkler arms drove rotation; however, the team’s observations showed this is not the case.

Their observations supported the team’s existing momentum flux theory in both the forward and reverse directions, across all sprinkler shapes. According to their work, the shape of the sprinkler arms controls the flow of the water jet.

“By showing that momentum flux is the answer to Feynman’s Sprinkler Problem,” Ristroph concluded, “our findings address a long-standing open problem in flow physics and provide useful knowledge about how these devices work and their effectiveness.

The paper, “Geometry Controls Momentum Flux in the Sprinkler Problem,” appeared in the Proceedings of the National Academy of Sciences on July 13, 2026.

Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.

An international team of geophysicists examining the Southern Indian Ocean floor witnessed a section greater than two meters split apart, releasing millions of cubic meters of stored-up magma within just a few days.

Jean-Yves Royer, a marine geophysicist at the French National Centre for Scientific Research (CNRS) in Brest and a co-author of the study detailing the team’s serendipitous discovery, said witnessing the ocean floor splitting apart in real time was “a major surprise,” while the team hailed the scientific value of finally witnessing these processes up close.

Scientists Have Never Witnessed The Ocean Floor Splitting Apart in Real Time

Because the ocean floor is dynamic, the movement of tectonic plates pulling the existing crust away from mid-oceanic ridges allows magma to well up to the surface. When it dries, this material solidifies, adding to the existing crust. While scientists have understood this process for decades, no one has ever witnessed the phenomenon directly. This absence has left a gap in scientific knowledge that, as study co-author Isobel Yeo, a geoscientist at the National Oceanography Center in Southampton, UK, notes, persists to this day.

“We still know remarkably little about the frequency, magnitude, and dynamics of the eruptions and tectonic processes that build them”, the researcher explained

To try to fill that gap, the team focused its research on a section of the seafloor called the Southeast Indian Ridge, which runs east to west across the Indian Ocean. Due to its location, the ridge separates two tectonic plates, the Antarctic and the Australian.

The team notes that these two plates, which contain Antarctica and Oceania and the surrounding oceanic crust, are continuously moving in opposite directions by roughly six centimeters each year. Although both plates are exerting stress on the ridge, the team said the northward movement of the Australian plate accounts for most of this annual expansion.

The motion dynamics can also change by location. For example, one section of the Australian plate may stay stationary for a period and then suddenly experience a large surge in motion. These sudden events are accompanied by earthquakes. 

Ocean Floor Movement in Real Time

In hopes of catching the ocean floor splitting in real time, Royer and colleagues ventured to the Southeastern Indian Ridge in February 2024. Once on site, the team deployed three categories of sensors at several different locations along a 100-kilometer stretch of the ridge. The sensor array included five hydrophones that detect underwater sound, including the telltale sonic waves produced by earthquakes. The team also deployed 15 battery-powered acoustic beacons designed to emit and detect sounds at selected locations along the ridge.

Because the acoustic beacons can produce and receive sounds, the team programmed them to exchange audio signals every four hours. This regular exchange allowed the team to measure the time between sound and response, which they used to determine the distance between the two beacons at four-hour intervals.

After the sensors were all in place, the team’s efforts finally paid off. According to the study, the carefully placed hydrophones began to detect seismic tremors on the ocean floor. These signals were followed by several days of acoustic beacon returns, indicating some of the stations had moved. When the team calculated the time between beacon signals, they determined that some sections of the ocean floor had moved by “at least” two meters as they were pulled away from the ridge.

The team also found evidence that the ocean floor was splitting apart in real time, altering the ocean floor’s depth. According to a reading from a single pressure sensor, the depth change caused by the event was “substantial.”

a rare direct view of these processes in action

In the study’s conclusion, the research team estimates that 160 million cubic meters of lava rose between the split ocean floor and spilled onto the seafloor. They also suggested that the magma explosion emptied a reservoir that had accumulated along the ridge, which caused portions of the floor to “subside.”

Royer said the team was only expecting to find a vertical displacement of “a few centimeters.” Instead, he notes, “we measured 4.2 meters.” The team said this large amount of change suggests that three to six decades’ worth of stress from the northward movement of the Australian tectonic plate was released during the ocean-floor-splitting event.

When discussing the significance of witnessing the ocean floor splitting apart in real time for the first time, Yeo said their study “provides a rare direct view of these processes in action.”

The study “Anatomy of a seafloor spreading event captured by in situ seismogeodesy” was published in Nature.

 Christopher Plain is a Science Fiction and Fantasy novelist and Head Science Writer at The Debrief. Follow and connect with him on X, learn about his books at plainfiction.com, or email him directly at christopher@thedebrief.org.

More than a century after Sigmund Freud developed some of his most influential—and controversial—ideas about the human mind, a new study indicates that modern neuroscience may be arriving at a surprisingly familiar destination.

Researchers at the University of Oslo argue that Freud’s concepts of projection, wish fulfillment, transference, and the unconscious may share a fundamental architecture with one of the most influential emerging theories in cognitive neuroscience: the idea that the brain is essentially a prediction machine.

Rather than passively receiving information from the world, the brain may continuously anticipate what will happen next, compare those expectations with incoming sensory information, and either revise its internal model or act to make reality conform more closely to its expectations.

In a paper published in the journal Entropy, researchers propose that this modern “predictive processing” framework may provide a neuroscientific explanation for mental processes that psychoanalysts have described from the perspective of subjective human experience for more than a century.

The researchers do not claim that neuroscience has proved Freud right. Instead, they argue that psychoanalysis and predictive processing may describe some of the same fundamental operations of the mind at two very different levels of analysis.

“The predictive processing model is a paradigm of the mind where the brain’s main task is to construct and interact with the world through predictions,” researchers write. “The world we perceive and interact with is a world that we create from our past, from expectancies and actions.”

The basic idea behind predictive processing represents a significant departure from older models of perception. Traditionally, the brain was often described as something like an information-processing machine: a stimulus arrives from the outside world, the brain processes it, and a response follows.

Predictive processing effectively turns much of that sequence around.

Under this system, the brain is constantly generating models of what it expects to encounter. Those predictions are formed by previous experiences, biological needs, and learned expectations. Incoming sensory information is then compared against the brain’s predictions.

When the two match, all is relatively well. When they do not, the discrepancy creates what neuroscientists call a prediction error.

The brain can respond in at least two broad ways. It can update its internal model to better reflect reality, a process known as perceptual inference. Or it can act on the world in ways that make reality more closely correspond to its prior prediction, a process known as active inference.

Researchers point to a familiar example: the fear of snakes. Someone who assumes snakes are dangerous may gradually revise that expectation after repeated encounters with harmless ones, eventually becoming less afraid. But if the fear is strong enough, the person may avoid snakes entirely. By never getting close enough to discover that some pose no threat, their behavior prevents the prediction from being challenged—and, in effect, helps keep the fear alive.

“To perceive is to predict, to act is to act out the prediction,” researchers explain.

According to the researchers, this framework itself bears a striking resemblance to concepts developed by Freud and later psychoanalysts.

Freud proposed that people do not experience the world as completely neutral observers. Past experiences, desires, fears, and unconscious expectations can shape how they perceive other people and events. In psychoanalytic theory, “projection” can occur when a person attributes internal feelings or expectations to someone else.

A person who feels hostility, for example, may perceive others as hostile. Someone who expects criticism because of earlier relationships may interpret ambiguous behavior as rejection. In more complex cases, people may even behave in ways that encourage others to respond as expected.

The researchers argue that this resembles a form of prediction.

In both models, past experience creates a template to understand the present. The brain—or, in psychoanalytic terminology, the mind—attempts to reduce uncertainty by making the world familiar and predictable.

That does not necessarily mean making the world pleasant.

One of the more consequential implications of the proposed connection is that people may sometimes preserve painful or destructive patterns precisely because those patterns are familiar. A predictable threat can, in some circumstances, create less uncertainty than an unfamiliar form of safety.

The researchers use the example of a woman who was frequently criticized by her mother when she was a child. As an adult, she continues to carry an internal critical voice that tells her she is not good enough. Even when praised, she may dismiss the compliment as undeserved.

From a psychoanalytic perspective, she has internalized—or “introjected”—the critical relationship. From a predictive-processing perspective, positive feedback conflicts with a deeply accepted model of what she expects from herself and others.

The result is a provocative possibility. People sometimes reject evidence that their circumstances have changed because accepting it would require the brain to rebuild its model of the world.

“The one with paranoia and the one with a self-critical inner voice minimize surprise at the cost of reality testing and psychological flexibility,” the researchers write.

The proposed connection also reaches into the “free energy principle,” a conceptual framework associated with neuroscientist Dr. Karl Friston. In simple terms, the framework describes biological systems as continually working to limit uncertainty and maintain themselves within viable states.

For the brain, unexpected information produces what researchers describe as “surprisal.” The mismatch between anticipation and reality can force the brain to do additional work, either changing its model or changing its behavior.

This may help explain why surprise can be uncomfortable and why the familiar can feel safe even when it is objectively harmful.

Freud approached a similar problem via the concept of homeostasis, although he developed his ideas before the term became widely established. The researchers argue that Freud’s concept of “perceptual identity”—the predisposition to seek or recreate perceptions associated with previously satisfying experiences—may be particularly compatible with modern predictive processing.

If researchers are correct, it could have consequences for understanding psychotherapy.

In psychoanalysis, patients may repeatedly bring expectations formed in earlier relationships into their relationship with a therapist, a phenomenon termed transference. Someone accustomed to abandonment, hostility, or criticism may expect the therapist to behave in the same way.

A therapeutic relationship that repeatedly violates those expectations would create precisely the type of prediction error that forces an internal model to change.

In this view, cognitive awareness is not simply an intellectual realization. It may involve confronting the fact that a deeply embedded prediction about the world has failed.

That failure produces surprise. And surprise, the researchers suggest, may be one of the mechanisms that makes psychological change possible.

A patient who expects rejection yet repeatedly encounters a safe, reliable relationship faces a mismatch between prediction and reality. The person can attempt to preserve the old model, perhaps through interpreting benign behavior as threatening, or gradually update the model to accommodate a different possibility.

This is where researchers believe psychoanalysis may offer something that computational neuroscience alone cannot easily provide.

Predictive processing attempts to explain the mechanisms by which brains generate, test, and update predictions. In contrast, psychoanalysis has spent more than a century attempting to describe what those processes feel like from inside the person experiencing them.

The researchers are careful to acknowledge significant differences between the fields. Predictive processing is primarily a descriptive scientific framework intended to explain how minds and brains function. Psychoanalysis is a clinical practice concerned with psychological suffering and how it might be treated.

There is also a difference in emphasis. Neuroscience often studies ordinary predictions involved in perception and behavior, while psychoanalytic concepts such as projection have frequently been developed through observations of psychological distress and mental illness.

Most importantly, the paper does not present new experimental evidence demonstrating that Freud’s concepts relate to specific neural mechanisms. It is a theoretical synthesis proposing that two intellectual traditions, one built largely on clinical observation and subjective experience, the other on computational and neuroscientific models, may describe overlapping features of the mind.

Nevertheless, the proposed convergence is notable.

Freud originally hoped that psychological theories might eventually be connected to the brain’s biological workings, but the neuroscience of his era was nowhere near capable of doing so. For much of the 20th century, psychoanalysis and experimental neuroscience grew increasingly distant.

Predictive processing may offer an unexpected point of reconnection.

If the brain constantly uses the past to predict the present, then projection, transference, and even the tendency to repeat destructive patterns may be viewed not simply as abstract psychoanalytic concepts but as subjective manifestations of a more fundamental biological imperative: reducing uncertainty and maintaining a workable model of the world.

That position could ultimately change how researchers think about the relationship between the brain’s computational machinery and the intensely personal experience of being human. Rather than treating subjective experience and neuroscience as incompatible domains, the researchers suggest that each may illuminate what the other cannot see.

“Psychoanalysis consists of a vast resource of theories about the subjective mind, projection being central among these, and neuro-psychoanalysis adds an external view of the mind while studying the biological and neurological substrate of psychology,” researchers write.

“Relational encounters in a safe environment, as in psychoanalysis, can produce surprise,” the authors add, “which again permits new ways of predicting and being in the world.”

Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan.  Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com 

The properties of water are unusual among liquids—it expands when it freezes, reaches its highest density just above freezing, and does not behave like the simple liquids chemists often use to understand matter.

Now, a new study in Communications Chemistry uses artificial intelligence to compare competing methods for measuring water’s hidden molecular order and determine which are truly effective.

Researchers at the University of Osaka developed a neural network to test 16 different ‘structural descriptors,’ which are mathematical tools for measuring how ordered or disordered water molecules are at the microscopic scale. Over the past 30 years, scientists have independently developed these descriptors, each with its own approach and scale, all aimed at explaining the same underlying puzzle.

Until now, researchers lacked a standard method for comparing them directly—a gap this study fills.

Water’s Split Personality

Distinguishing Hot From Cold

To establish a common standard, the Osaka team trained a neural network using molecular dynamics simulations of water at temperatures from 200 to 300 Kelvin. Using only the values from a single structural descriptor, it had to predict the temperature at which each molecular configuration was generated. If a descriptor captured meaningful structural information, the network could easily distinguish hot from cold.

“Past studies have shown that using machine learning to classify and understand structural data is effective,” says corresponding author Kang Kim. “We specifically wanted to incorporate a neural network model into this study to evaluate how accurate the descriptors were at capturing key structural information, in a way that is like human cognition.”

The network assessed each descriptor using a standard classification measure. To deepen their analysis, the team used an explainable AI technique called LIME. This method looks at how the model makes its decisions and checks whether its reasoning matches established physical principles, instead of relying only on statistical patterns.

Two Descriptors Pull Ahead

Out of the 16 descriptors tested, two stood out. The Local Structure Index (LSI) and another, referred to as zeta (ζ), both of which measure the distance between the first and second layers of neighboring molecules, achieved nearly perfect accuracy across the tested temperatures. Another group, based on how hydrogen bonds connect, also scored well but was not as accurate as the others. Older descriptors that rely on tetrahedral angles or interaction energies became less accurate at higher temperatures, where molecules move more, and the differences blur.

“The network used what it had learned to compare how 16 descriptors differentiated between LDL and HDL structures at different temperatures,” says senior author Nobuyuki Matubayasi. “In this way, we determined the most efficient descriptors.”

The LIME analysis backed up the network’s results with evidence consistent with scientists’ expectations. Molecules with high Local Structure Index and zeta values led the model to predict lower temperatures, which is consistent with the idea that more ordered, LDL-like structures appear as water cools. This suggests that the network captured more than just statistical correlations.

With a common framework for comparing descriptors in place, researchers could attempt to develop descriptors that directly identify HDL and LDL environments rather than infer them indirectly. Whether these new tools will finally solve one of water’s biggest mysteries, the point where its two proposed liquid forms fully separate, is something scientists are just starting to investigate.

Austin Burgess is a writer and researcher with a background in sales, marketing, and data analytics. He holds an MBA, a Bachelor of Science in Business Administration, and a data analytics certification. His work focuses on breaking scientific developments, with an emphasis on emerging biology, cognitive neuroscience, and archaeological discoveries.