Slow essays on AI & health, research, strategy, ethics, tools, and the future. Calm, evidence-based, premium. No newsletter spam.
Featured
“Eat more protein. Lift heavy. Sleep eight hours.” Everyone already knows. The point of an individual AI stack isn’t to repeat the basics — it’s to walk into every appointment with sharper questions than the practitioner expected.
Future
3 essays
Generative image models can now read, annotate, and even fabricate medical-looking imagery with unsettling fluency. That cuts two ways: a genuine assistive leap for people learning to understand their own scans, and a new frontier for confident, beautiful, completely wrong pictures of your insides. Here’s the honest line between what AI imaging can do for your health stack and where it quietly becomes a liability — and how to use it as a reading partner without mistaking a render for a diagnosis.
When the people building the most capable AI on the planet say they expect to help cure most disease within a decade, two reactions are equally useless: breathless belief and reflexive cynicism. The interesting move is to take the claim seriously and literally at once — to ask what would actually have to be true, what it changes for you now, and what it conveniently leaves out. Here’s a calm read on the most ambitious promise in health AI, and what a sensible person does with it this year.
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