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Science News: Mental Health, Chatbots, Ultrarunning & Fasting

The intersection of science and popular culture continues to yield fascinating insights, and this week’s offerings are no exception. From the potential pitfalls of intermittent fasting to the evolving relationship between teens and AI chatbots, and even the physiological demands of ultra-endurance running, a diverse range of topics are capturing the attention of researchers and, increasingly, the public.

A segment featured on NPR’s All Things Considered and its science podcast, Short Wave, highlighted growing concerns surrounding intermittent fasting. While the practice – restricting eating to specific windows – has gained traction as a weight-loss strategy, experts are beginning to question its efficacy. The report, aired on , suggests that the focus on *when* people eat, rather than *what* they eat, may not be a sustainable or effective approach to weight management.

Perhaps more urgently, the conversation around mental health and artificial intelligence is intensifying. A key focus of the Short Wave segment, and echoed in a recent report from Scientific American, centers on the increasing use of AI chatbots by teenagers. The Pew Research Center survey, conducted in December 2025, revealed that a significant 64 percent of U.S. Teens have experimented with AI chatbots, with over a quarter using them daily. Notably, OpenAI’s ChatGPT dominates the landscape, used by 59 percent of those surveyed, significantly outpacing competitors like Google’s Gemini (23 percent) and Meta AI (20 percent).

This widespread adoption isn’t occurring in a vacuum. The Scientific American report underscores a rising tide of concern regarding the potential impact of these interactions on adolescent mental health. Several AI companies, including OpenAI, are already facing legal challenges related to teen usage. The frequency of engagement is also striking; more than half of daily users are interacting with chatbots “several times a day to nearly constantly,” raising questions about the nature and potential consequences of these digital relationships.

The implications are complex. While chatbots offer potential benefits – access to information, companionship, a space for self-expression – the lack of human empathy and the potential for algorithmic bias present real risks. The Short Wave segment specifically addressed the need for strategies to protect mental health during these interactions, though specific recommendations weren’t detailed in the reporting.

Beyond the digital realm, science is also shedding light on the extreme limits of human physical endurance. The NPR report also touched on research into the effects of ultra-endurance running on the body. This area of study is gaining prominence as participation in events like ultramarathons continues to grow. The physiological demands placed on athletes during these events are substantial, and researchers are working to understand the long-term consequences of pushing the body to such extremes.

Interestingly, a separate report highlighted by WUNC and Google News suggests that while AI is proving beneficial to individual scientists – aiding in research and career advancement – its overall impact on the progress of science itself is less clear. A study led by James Evans at the University of Chicago analyzed millions of scientific papers and found that AI tools appear to be narrowing the scope of research, with scientists increasingly relying on AI to analyze existing data and suggest research directions. While this can accelerate individual progress, Evans cautions that if *everyone* adopts this approach, it could lead to a “public goods problem,” stifling innovation and limiting the exploration of new ideas. The study, published in Nature, suggests a potential trade-off between individual success and collective scientific advancement.

The findings suggest that AI is helping scientists publish more papers and receive more citations, which is crucial for career progression. However, this AI-assisted work seems to have reduced the diversity of research topics by nearly 5 percent. The incentive structure within academia – the need for funding and career advancement – may be driving researchers to focus on areas where AI can provide a clear advantage, potentially at the expense of more exploratory or unconventional research.

These three seemingly disparate areas – diet trends, AI’s impact on mental health, and the limits of human endurance – all underscore a common theme: the increasing interplay between scientific inquiry and the complexities of modern life. As technology continues to evolve and our understanding of the human body deepens, navigating these intersections will require careful consideration, ethical awareness, and a commitment to both individual well-being and collective progress.

The growing legal scrutiny of AI companies, particularly regarding teen usage, signals a potential shift towards greater regulation and accountability. The focus will likely be on developing safeguards to protect vulnerable users and ensuring that AI technologies are deployed responsibly. Similarly, the debate surrounding intermittent fasting highlights the importance of evidence-based approaches to health and wellness, cautioning against the uncritical adoption of popular trends. And as research into ultra-endurance running continues, we can expect a more nuanced understanding of the physiological and psychological factors that drive human performance.

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