The Frontier
AI drug discovery keeps promising cancer cures — but the models are training on the wrong data. Vivodyne, a University of Pennsylvania spinout, says the industry's fundamental problem isn't compute or algorithms; it's that most AI models learn from animal tests, single cells, or static snapshots of biology, not living human tissue responding to stimuli in real time.
The Guardrails
A JAMA Perspective published Monday asks regulators not to hard-code a physician veto into medical AI — just as the evidence for that future is still mostly simulated. Ezekiel Emanuel and three coauthors argue in JAMA that autonomous AI will soon outperform any doctor-plus-model team at medical reasoning, and that writing a human into the loop now would lock in worse care.
The Arena
Two stories out of the labs' pre-IPO week: Anthropic's CEO staked public trust on a medical moonshot, and OpenAI kept losing the engineers who built it. Dario Amodei published his most personal case for Anthropic yet — and set a deadline: AI will cure most human diseases within five to ten years, with early results promised "in the coming months." In a rare long-form post, Anthropic's CEO answered Silicon Valley's loudest critic, investor Gavin Baker, who had said (citing "multiple credible…
The Everyday
The Wall Street Journal this weekend documents how AI has quietly become a fixture of the rare-disease diagnostic hunt — driven as much by desperate families as by hospitals. Patients, families, doctors and nurses are increasingly turning to AI tools like Face2Gene to identify rare and hard-to-diagnose diseases, according to a Wall Street Journal report.
The Everyday
Google's health-AI push reached the wrist on Wednesday: the Pixel Watch 5 and Fitbit Air pick up a first-of-its-kind insulin-resistance tracker, built on a sensor foundation model trained on a trillion minutes of real-world data. Meanwhile, the Zed team opened the beta for Delta, a multiplayer environment for coding with agents. Google's Pixel Watch 5 introduces insulin-resistance trend tracking — a wearable first that reads metabolic health from multi-week physiological data without a single…