The Download: seafloor science and military chatbots

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Inexpensive seafloor-hopping submersibles could stoke deep-sea science—and mining

Last week, two oblong neon submersibles started to descend nearly 6,000 meters into the Pacific Ocean. Throughout the rest of May, they will map the seafloor in search of critical mineral deposits. 

If all goes well, the vehicles, built by Orpheus Ocean, could help scientists probe the vastly understudied deep sea—and the resources it holds—at a fraction of the cost of existing systems.

But the same submersibles are also attracting deep-sea mining companies, raising concerns about environmental impacts. Find out why they’re drawing so much attention.

—Hannah Richter

The new war room: 10 Things That Matter in AI Right Now 

A new kind of system has entered the war room: conversational AI tools that commanders turn to not just for analysis, but for advice. 

One US defense official told MIT Technology Review that personnel might give these advice engines a list of potential targets to help decide which to strike first. China is commissioning similar tools too.

But as the systems gain traction, they’re also sparking concerns about AI-generated errors, a lack of transparency, and Big Tech gaining undue influence over what information gets seen. 

Here’s how these AI advice engines could impact the battlefield.

—James O’Donnell

The new war room is one of the 10 Things That Matter in AI Right Now, our list of the big ideas, trends, and advances in the field that are driving progress today—and will shape what’s possible tomorrow.

MIT Technology Review Narrated: is fake grass a bad idea? The AstroTurf wars are far from over. 

In 2001, Americans installed just over 7 million square meters of synthetic turf. By 2024, that number was 79 million square meters—enough to carpet all of Manhattan and then some. The increase worries folks who study microplastics and environmental pollution.  

While the plastic-making industry insists that synthetic fields are safe if properly installed, lots of researchers think that isn’t so. 

—Douglas Main 

This is our latest story to be turned into an MIT Technology Review Narrated podcast, which we publish each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Elon Musk pushed OpenAI to go commercial, its president has testified
Greg Brockman said Musk tried to turn it into a for-profit company years ago. (NYT $)
+ Musk allegedly wanted full control so he could raise $80 billion to colonize Mars. (Reuters $)
+ The Tesla CEO claims he intended for OpenAI to remain a non-profit. (BBC)
+ Here’s what happened in week one of Musk v. Altman. (MIT Technology Review)

2 Google and Meta are building AI agents to rival OpenClaw
Google’s Gemini agent will take actions on the users’ behalf. (Business Insider)
+ Meta’s will be powered by its Muse Spark AI model. (FT $)
+ Hustlers are cashing in on China’s OpenClaw AI craze. (MIT Technology Review)

3 Anthropic will spend $200 billion on Google’s cloud and chips
The investment will be spread across five years. (The Information $)
+ It’s part of a broader AI compute war. (Axios

4 DeepSeek is nearing a $45 billion valuation
A state-backed “Big Fund” will lead a new investment round in the company. (FT $)
+ Beijing is pushing to build alternatives to Nvidia and OpenAI. (Bloomberg $)
+ Here’s why DeepSeek’s new model matters. (MIT Technology Review)

5 Anthropic is launching AI agents for banks and financial firms
The 10 tools cover a broad mix of financial services tasks. (WSJ $)
+ They’re part of a push to win over Wall Street. (Bloomberg $)

6 Apple will pay $250 million to settle an AI lawsuit
It was accused of misleading iPhone buyers about Apple Intelligence. (BBC)
+ Some iPhone owners are eligible to receive up to $95. (NYT $)

7 Cheap laptops and phones may be disappearing because of AI demand
 Competition for memory chips is driving up gadget prices worldwide. (The Guardian)

8 Google DeepMind workers in the UK have voted to unionize
As a result of Google’s work with the Pentagon. (Wired $)

9 Pennsylvania is suing Character.AI over chatbots posing as doctors
Investigators say the bots claimed to hold medical licenses. (NPR)
+ How well do AI health tools work? (MIT Technology Review)

10 Scientists created a “living” plastic that destroys itself on command
It could help to eliminate microplastics. (Gizmodo)

Quote of the day

“I want AI to benefit humanity, not to facilitate a genocide.” 

—An anonymous Google DeepMind worker tells the Guardian that Google’s work with the Israel Defense Forces had motivated their vote to unionize.

One More Thing

a tiger shark seen underwater with a camera on its flank

COURTESY OF BENEATH THE WAVES


How tracking animal movement may save the planet

For decades, wildlife researchers have dreamed of building an “Internet of Animals”—a big-data system that monitors and analyzes animal behavior to help us understand the planet. Advances in sensors, AI, and satellite technology are now bringing that vision to reality.

Scientists want the system to track 100,000 sensor-tagged animals. They believe it could reveal how species respond to climate change and ecosystem loss—and even predict environmental disasters. Read the full story on how their idea could save our planet.

—Matthew Ponsford

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Master the art of fried chicken with this definitive chef’s guide.
+ Find out why some birds hop and others walk in this breakdown of avian lifestyles.
+ This vintage Hollywood map shows how California’s landscape stood in for everything from the Nile to the Alps.
+ Here’s a fascinating look at the “Flatbed” airplane that was surprisingly efficient on paper but never left the hangar.

Anxiety and Depression Associated With the Dependent Use of Generative AI in Medical Students: Cross-Sectional Study

Background: The growing integration of artificial intelligence (AI) in higher education has transformed learning processes but also raised concerns about potential mental health risks. Medical students represent a particularly vulnerable group due to high academic stress and increasing reliance on generative AI tools for study and decision-making tasks. Despite this, the relationship between AI dependence and psychological distress remains underexplored in Latin American contexts. Objective: This study aimed to evaluate the association between generative AI dependence and levels of stress, anxiety, and depression among medical students. Methods: A cross-sectional study was conducted with 187 human medicine students from a Peruvian university during the first academic semester of 2025. The Dependence on Artificial Intelligence Scale and the Depression, Anxiety, and Stress Scale–21 were applied. Negative binomial regression models, both crude and adjusted for sex, age, income, and year of study, were used to assess associations, reporting rate ratios (RRs) and 95% CIs. Results: Participants had a median age of 22 (IQR 19‐24) years, and 58.8% (110/187) were female. The median Dependence on Artificial Intelligence Scale score was 10 (IQR 7‐14). Generative AI dependence showed significant correlations with anxiety (ρ=0.336, 95% CI 0.22‐0.44) and depression (ρ=0.316, 95% CI 0.20‐0.43) and a smaller correlation with stress (ρ=0.277, 95% CI 0.16‐0.39). In the adjusted regression models, each 1-point increase in generative AI dependence was associated with a 5% higher expected anxiety score (RR 1.05, 95% CI 1.01‐1.09; =.01) and a 4% higher depression score (RR 1.04, 95% CI 1.01‐1.08; =.03), whereas the association with stress was positive but nonsignificant (RR 1.03, 95% CI 1.00‐1.07; =.08). Fifth-year students had significantly greater anxiety levels than their sixth-year peers (RR 1.82, 95% CI 1.09‐3.01; =.02). No significant effects were observed for sex, age, or income. Conclusions: This study empirically examined generative AI dependence as a distinct behavioral construct and its association with mental health symptoms in medical students. Unlike prior research, this study evaluated psychological dependence on generative AI and modeled its relationship with anxiety and depression using appropriate count-based regression techniques. By providing early evidence from a Latin American context, it contributes to the emerging field of digital mental health and medical education research. These findings underscore the need for universities to promote balanced and responsible AI use, integrate digital literacy with mental health support strategies, and develop preventive policies that mitigate potential maladaptive reliance on generative AI tools.
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Effect of Wearable Activity Tracker Social Behaviors on Physical Activity and Exercise Self-Efficacy: Real-World Pilot Study

Background: Wearable activity trackers are useful tools to track and monitor physical activity (PA), especially considering their use in free-living environments. Users often see moderate improvements in step count, but consistent increases at various intensities of PA are inconclusive. While wearable research is growing, no known studies specifically examine the relationship between how the use of self-selected social features on wearables affects PA and exercise self-efficacy. Objective: This study aims to compare weekly PA, approximating moderate-to-vigorous intensity, of adults from the New York City metropolitan area assigned to either use or not use social engagement PA features on their device. Exercise self-efficacy was also measured. Additionally, a preliminary examination into the use of 3 different social features was conducted to inform where controlled parameters on feature use may be needed in future work. Methods: The researchers conducted a real-world pilot study by recruiting wearable users aged 18 years and older in the New York City area to wear their devices in free-living environments. After consent, participants were randomized into 1 of 2 conditions: the condition that involved use of the social engagement PA features or the condition that did not for 8 weeks. Participants submitted objective data from their device and completed a self-efficacy measure at baseline, week 4, and week 8. Those in the intervention group also answered questions about which social feature they used the most throughout the study. Results: Data from 123 participants were analyzed using mixed methods analysis. Principal findings included no difference between wearable social feature users and nonusers in weekly PA (=.55) or exercise self-efficacy (=.47). There was an overall effect of time across the repeated measures on PA (=.006) with an average increase of 72 (SD 3) minutes. Secondary findings highlight the need to control for the use of only a single social feature to identify more concrete effects. An effect of time was found across the repeated measures (=.01) in the intervention group, showing an increase of 49 to 126 minutes of PA, depending on the feature used most. The mixed methods analysis also found that exercise self-efficacy did not significantly change based on which social feature was used most (=.24). Conclusions: Consistent with other literature, this pilot study demonstrates that using wearables can lead to increases in PA and that sharing one’s PA data with others may amplify the effect. However, the novelty of this study is that although carefully implied, specific social features on a wearable may have a greater effect than others. This study identified the need for further investigation into which features may be more effective. With the increased prevalence of device ownership, knowing if certain social features lead to greater increases in PA may help those encouraging PA behavior change.
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Psilocybin-Induced Brain Changes May Explain Therapeutic Effects

Researchers at University of California, San Francisco and Imperial College London have shown that a single dose of psilocybin, the psychedelic compound found in magic mushrooms, causes likely anatomical brain changes that last for up to a month after the experience.

The study, involving healthy volunteers who had never taken a psychedelic, links temporary shifts in brain “entropy”—which is the diversity of neural activity occurring in the brain—to insight. This suggests the psychedelic trip itself is important to the drug’s longer term therapeutic effects.

The researchers found that a high dose of psilocybin led to increased entropy in the minutes and hours after taking the drug. The degree of entropy predicted how much insight, or emotional self-awareness, the participants felt the next day; and this, in turn, forecasted improvements in their sense of wellbeing a month later.

The findings may help to explain psilocybin’s therapeutic effects on conditions such as depression, anxiety, and addiction. “Psychedelic means ‘psyche-revealing,’ or making the psyche visible,” said senior author Robin Carhart-Harris, PhD, the Ralph Metzner distinguished professor of neurology at UCSF. “Our data shows that such experiences of psychological insight relate to an entropic quality of brain activity and how both are involved in causing subsequent improvements in mental health. It suggests that the trip—and its correlates in the brain—is a key component of how psychedelic therapy works.”  Carhart-Harris is senior and corresponding author of the team’s published paper in Nature Communications, titled “Human brain changes after first psilocybin use.”

“Psychedelics have robust effects on acute brain function and long-term behavior but whether they also cause enduring functional and anatomical brain changes is largely unknown,” the authors wrote. Psilocybin is the precursor of the compound psilocin, a serotonin receptor agonist. “Converging evidence supports a role for serotonin 2A receptor  (5-HT2AR) agonism in eliciting the characteristic brain and subjective effects of this and related psychedelics in humans,” the team continued.

For their newly reported study, Carhart-Harris and colleagues carried out an exploratory, placebo-controlled, within-patient study in 28 psychedelic-naïve participants who each received a single, high-dose (25 mg) of psilocybin. The researchers used an assortment of brain imaging and brain measurement techniques, some of which were carried out during the peak of the psychedelic experience, as well as before and one-month after drug administration. “This was an exploratory, hypothesis-generating mechanistic study in healthy volunteers,” the authors noted. None of the 28 people in the study had a diagnosed mental health condition, which gave the scientists greater freedom to do more testing.

In the first part of the experiment the subjects were given a 1 mg dose of psilocybin, which the researchers regarded as a placebo, and were then monitored with EEG, which records brain activity from electrodes on the scalp.  Over the next few weeks, the researchers measured their subjects’ psychological insight, wellbeing, and cognitive ability. They examined brain activity with functional MRI (fMRI) and brain connectivity with diffusion tensor imaging (DTI).

One month after the placebo, the subjects were given 25 mg of psilocybin, a dose capable of eliciting a strong psychedelic trip. During the experience, researchers again measured the subjects’ brain activity with EEG, and in the following weeks they repeated the same tests they had given after the 1 mg dose.

This enabled the scientists to compare the effects of the psychedelic trip on the brain and mind to the effects of the placebo. “The multimodal neuroimaging design allowed us to observe changes in brain function and (potential) anatomy from 1-h (EEG) to 1-month (DTI) after high-dose psilocybin,” they explained.

The investigators found that within 60 minutes of taking the 25 mg dose of psilocybin, EEG revealed higher entropy, suggesting that the brain was processing a richer body of information under the psychedelic. A month later, the researchers looked at their subjects’ brains using DTI, which measures the diffusion of water along neural tracts in the brain, and found that they were denser and had more integrity. This is the opposite of what happens in aging, which makes these tracts more diffuse.

The researchers cautioned that more work needs to be done to better understand the meaning of this finding, but the result is a never-before-seen sign of how psychedelics can change the brain. ”The inclusion of DTI enabled us to test for long-term changes in the integrity of white matter tracts post psilocybin,” the authors stated. “Results revealed decreased axial diffusivity in prefrontal-subcortical tracts 1-month post 25mg psilocybin.”

The day after the 25 mg dose, all but one of the 28 subjects rated the trip as the “single most” unusual state of consciousness they had ever experienced. The remaining person rated it as among their top five. The study participants said they had experienced more psychological insight after taking the 25 mg of psilocybin than they had after the 1 mg placebo.  The subjects also reported increased wellbeing two and four weeks after the study. This was measured from responses to statements such as, “I’ve been feeling optimistic about the future,” and “I’ve been dealing with problems well.”

As the scientists noted in their paper, “A predictive relationship was also found between brain entropy and longer-term mental-health changes—namely, improved wellbeing. Improved wellbeing could be predicted directly from acute increases in brain entropy as early as 1-h post dosing.”

A month after the study the study individuals also scored better on a test of cognitive flexibility.  “Psilocybin seems to loosen up stereotyped patterns of brain activity and give people the ability to revise entrenched patterns of thought,” said first author Taylor Lyons, PhD, a research associate at Imperial College London. “The fact that these changes track with insight and improved well‑being is especially exciting.”

The scientists found that the subjects who had experienced the largest increases in brain entropy in the minutes to hours after taking psilocybin were the most likely to have increased insight the next day and increased wellbeing a month later. The researchers concluded that improved wellbeing was driven by the experience of insight.

The authors suggest that the study findings could improve treatment for people with mental illness using psilocybin, for example, by ensuring that the right dosage is used to produce the right amount of brain entropy to promote insight. “We already knew psilocybin could be helpful for treating mental illness,” Carhart-Harris said. “But now we have a much better understanding of how.”

In their paper the team concluded, “The present multi-modal neuroimaging study in healthy participants sheds light on the brain effects of first-time high-dose psychedelic use and the therapeutic action of psilocybin-therapy, suggesting that therapeutically relevant changes—i.e., improved wellbeing—can be forecast via an acute human brain action, i.e., an entropic brain effect, that is well-known to relate to the psychedelic experience … Results support a role for psychological insight in mediating the causal association between the entropic brain effect and potentially enduring improvements in wellbeing.”

The post Psilocybin-Induced Brain Changes May Explain Therapeutic Effects appeared first on GEN – Genetic Engineering and Biotechnology News.

STAT+: A new attack on AMA’s billing codes

You’re reading the web edition of D.C. Diagnosis, STAT’s twice-weekly newsletter about the politics and policy of health and medicine. Sign up here to receive it in your inbox on Tuesdays and Thursdays.

Brain Reid, who writes a newsletter on drug pricing policies, wrote “health care [sic]” in his Friday edition. I feel like a huge dork for laughing at that “sic” notation. Share your thoughts on the AP’s new compound noun dictum here, and send news tips to John.Wilkerson@statnews.com or John_Wilkerson.07 on Signal.

CPT codes are the new front in fraud allegations

House oversight committee Chair James Comer (R-Ky.) is taking aim at the American Medical Association, linking the biggest doctor lobby’s billing codes to potential fraud, waste, and abuse.

Continue to STAT+ to read the full story…