Meta builds AI research scaffold on 5M health records with Muse models
_jasonwei · x · 2026-10-15
Meta AI unveiled a human-led research scaffold powered by Muse Spark 1.3 and Muse Wonder, giving medical experts access to 5M de-identified EHRs to run original health science research—accelerating hypothesis generation, code execution, and manuscript drafting while experts retain full scientific authority. Contributor Jay Rothschild says the system was built in weeks and makes research 'feel purer.'
More from Research
- Cohere Labs: more coding agents isn't a scaling strategy — when to delegate work — pvncher · 2026-10-15
- UCLA paper: productivity tech like AI can trigger a workplace "rat race" that hurts welfare — soumitrashukla9 · 2026-10-15
- Deterministic Miller-Rabin primality testing now in P after last week's breakthrough, ~O((log n)^9.9984) — geoffreyirving · 2026-10-15
- Initialization matters far more than expected in LLM-driven scientific discovery, new study finds — BenBlaiszik · 2026-10-15
- RLVR is just RL — RLHF is the weird one, argues lateinteraction — lateinteraction · 2026-10-15
- Mathematician models OpenAI's 372-theorem drop as a self-organized criticality collapse — littmath · 2026-10-15