Bio Lab Lead: Anthropic's AI Scientist Demo Matches a Trained PhD Student, Not New Discoveries
dvir_a · x · 2026-09-24
A lab head pushes back on Anthropic's autonomous science demos, arguing the framing outpaces the capability.
- Years ago, pre-LLM, a high schooler in his lab used a bioinformatics pipeline to find synthetic lethal cancer targets, and one candidate was experimentally validated successfully.
- Yet such candidate-discovery papers are so common that editors reject them; his landed in a low-impact journal, since real impact requires deep validation and mechanism work.
- His verdict: the AI demo looks like what a trained bioinformatics PhD student would produce with the same instructions. Autonomous execution is valuable, but it doesn't yet show discoveries that were previously impossible.
More from AGI Musings
- An AI model's 8-point answer on how humans can thrive in the 'Age of Miracles' — daniel_mac8 · 2026-11-11
- Podcast with X's biggest AI account: how one post made Manus famous in the West — kimmonismus · 2026-11-11
- Area Chair: reviewing AI-written reviews of AI-generated papers, the only human in the loop — murat_kocaoglu_ · 2026-11-11
- Dev Dimillian calls for content on AI-assisted work vs. pure AI slop — Dimillian · 2026-11-11
- How long until a phone-runnable model solves a Millennium Prize Problem — and Siri still lags? — paul_cal · 2026-11-11
- Superforecasters cut ASI timeline by 3 years to 2028, citing METR report — ben_j_todd · 2026-11-11