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Psychiatric Facilities Are Being Bombarded by AI Users

While many working people are reasonably worried about AI taking their jobs and leaving them on the street, another consequence of the AI revolution is filling seats in mental health facilities.

The mass adoption of large language model (LLM) chatbots is resulting in large numbers of mental health crises centered around AI use, in which people share delusional or paranoid thoughts with a product like ChatGPT — and the bot, instead of recommending that the user get help, affirms the unbalanced thoughts, often spiraling into marathon chat sessions that can end in tragedy or even death.

New reporting by Wired, drawing on more than a dozen psychiatrists and researchers, calls it a “new trend” growing in our AI-powered world. Keith Sakata, a psychiatrist at UCSF, told the publication he’s counted a dozen cases of hospitalization in which AI “played a significant role” in “psychotic episodes” this year alone.

The System That Could Replace Binary And Change Computers FOREVER

Ternary computing uses-1, 0, and 1 instead of just 0 and 1, and for a brief moment in the 1950s, it looked like it could redefine how we build computers. A Soviet team even built a working ternary machine called Setun. So why did the world choose binary? And could ternary still make a comeback?

Sources, transcript and more available on codeolences.com.

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Healthy Habits Can Make Your Brain Up to 8 Years Younger

Stressful factors like chronic pain, low income, less education and other social risks were associated with older-looking brains. Those links seemed to make less of an impression over time. What stood out more clearly were protective elements: things like getting restorative sleep, maintaining a healthy weight, managing stress, avoiding tobacco and having supportive relationships.

Study participants who reported the most protective factors had brains eight years younger than their chronological age when the study started, and their brains went on to age more slowly over the next two years.

CWM: An Open-Weights LLM for Research on Code

We release Code World Model (CWM), a 32-billion-parameter open-weights LLM, to advance research on code generation with world models. To improve code understanding beyond what can be learned from training on static code alone, we mid-train CWM on a large amount of observation-action trajectories from Python interpreter and agentic Docker environments, and perform extensive multi-task reasoning RL in verifiable coding, math, and multi-turn software engineering environments. With CWM, we provide a strong testbed for researchers to explore the opportunities world modeling affords for improving code generation with reasoning and planning in computational environments. We present first steps of how world models can benefit agentic coding, enable step-by-step simulation of Python code execution, and show early results of how reasoning can benefit from the latter.

Dual‐Lineage Chondrocyte‐Like Cells in the Nucleus Pulposus of Aging Intervertebral Discs Are Accelerated by Hedgehog Signaling Inactivation

During intervertebral disc degeneration, notochord-derived nucleus pulposus cells progressively transdifferentiate into Krt19+ chondrocyte-like cells (CLCs) and Krt19− CLCs, which are eventually repl…

Scientist Connected Light And Matter Century Before Quantum Physics

The Irish mathematician and physicist William Rowan Hamilton, who was born 220 years ago last month, is famous for carving some mathematical graffiti into Dublin’s Broome Bridge in 1843.

But in his lifetime, Hamilton’s reputation rested on work done in the 1820s and early 1830s, when he was still in his twenties. He developed new mathematical tools for studying light rays (or “geometric optics”) and the motion of objects (“mechanics”).

Intriguingly, Hamilton developed his mechanics using an analogy between the path of a light ray and that of a material particle.

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