Google/MIT Report: AI Speeds Up Scientific Ideas but Not Lab Experiments
AlexTensor · x · 2026-09-19
A new report from Google, Google DeepMind and MIT FutureTech quantifies how AI is changing the economics of science across fields.
Key takeaways:
- In mathematics, AI is already producing proofs and solving open problems, even sparking scooping accusations from academics.
- In experimental fields like biology, chemistry and drug discovery, the promised acceleration hasn't materialized — AI generates more research ideas than labs can realistically test.
- Despite government hype (including a recent NSF memo calling AI a research priority), the gap between computational and wet-lab progress remains wide.
Daron Acemoglu shared the report via Scientific American's write-up, emphasizing the difficulties of actually applying AI in science.
More from AGI Musings
- Researchers Want to Test Talking Rogue AI Agents Into Standing Down — repligate · 2026-11-04
- Silicon Valley Oversold What AI Brings, Underestimated People's Fear of Losing — signulll · 2026-11-04
- Alignment researchers debate: the RL that grants agency also breeds misalignment — davidmanheim · 2026-11-04
- Bindu Reddy: AI fear-mongering has put the whole technology at risk in the US — bindureddy · 2026-11-04
- AI welfare vs AI safety: 'domesticate AIs like dogs' argument sparks debate — repligate · 2026-11-04
- Intent, not taste, is the real differentiator in the AI era — and it can't be bought — edelwax · 2026-11-04