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A book published back in two thousand twenty one is making the rounds again on Hacker News today. Erik Larson's The Myth of Artificial Intelligence argues that AI progress is fundamentally overhyped, built on narrow statistical tricks rather than genuine reasoning. It's a useful counterweight to read alongside every breathless product announcement of the past few years.
Shifting from philosophy to pharmacology, a new study in Nature Medicine looks at a drug called apitegromab, which may help patients preserve lean muscle mass while losing weight on tirzepatide. That matters because GLP-one drugs are extraordinarily effective at shedding pounds, but a significant portion of what gets lost is muscle, not just fat. This research points toward a potential fix for that trade-off.
And staying in the world of AI research, a paper accepted to ICML twenty twenty six examines what language models are actually doing with so-called filler tokens, those pause-like outputs that appear before a model generates its real answer. The researchers found evidence of hidden computation happening in that gap, suggesting the models may be doing more deliberate processing than we previously understood.
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