#medical-ai

#medical-ai

The story of technology is the story of continual disruption and displacement. New systems and processes send some skills into obsolescence, opening the way for new skills and workflows. Generative AI has triggered the latest "de-skilling." But chatbot technology isn't only transforming jobs and shifting our relationship with information itself. It is also inviting us to relinquish our cognitive independence and bring about a sort of dispossession that is unprecedented.

Suleyman identifies three areas where humanist superintelligence could have a transformative impact. The first is the personal AI companion, designed to assist people in their learning, productivity and well-being, without replacing human connection. The second is medical superintelligence, capable of delivering expert-level diagnostics and treatment, expanding global access to healthcare. And the third, clean and abundant energy, where AI would facilitate scientific discovery, resource optimization and development of sustainable generation technologies.

Researchers took a stripped-down version of GPT-a model with only about two million parameters-and trained it on individual medical diagnoses like hypertension and diabetes. Each code became a token, like a word in the sentence of a prompt, and each person's medical history became a story unfolding over time. For a little context, GPT-4 and GPT-5 are believed to have hundreds of billions to trillions of parameters, making them hundreds of thousands of times larger than this small model.