Google publishes AI-in-science study drawing on 15M Gemini interactions and 2,600 specialized models
danielrock · x · 2026-09-16
Google released early empirical work on AI's impact on science, led by @mcodreanu with Alex Olegimas and Juan Mateos-Garcia, and amplified by Daniel Rock.
- Draws on 15 million Gemini interactions, 2,600 specialized AI models, and a survey of 600 scientists
- Aims to quantify how AI is actually changing research practice at scale
- One of the largest empirical datasets to date on AI adoption in science
More from AGI Musings
- Databases to distributed systems: every systems skill is merging into AI inference and hardware — Abhishekcur · 2026-11-02
- Limitless analogy: smarter people may gain far more from superintelligence — McDonaghMatthew · 2026-11-02
- Hunting for the most concrete "curing cancer with AI" roadmap of 2025 — iskander · 2026-11-02
- Avoiding AI brain rot: Miles Cranmer's lecture on learning with AI — _ScottCondron · 2026-11-02
- Yacine mocks "autonomous research" hype as Naam argues RSI loop needs 5-10x boost to run away — yacineMTB · 2026-11-02
- Vitalik's "post-AI cryptography": pseudonyms are dead, per-action anonymity is in — devanshmehta · 2026-11-02