Google and DeepMind teams release first mass-scale empirical study of AI's impact on science
JMateosGarcia · x · 2026-09-16
Google DeepMind and Google teams have released "AI in Science: Early Insights", described as one of the first mass-scale empirical investigations into AI's impact on science, co-led with Jose Mateos-Garcia and Miguel Codreanu plus a team of co-authors. The authors frame it as the start of a new research agenda: AI's promise for economic growth runs directly through its impact on science. The report delivers numerous findings and insights while leaving many open questions, addressing the gap between widespread excitement/concern about AI in science and the lack of systematic empirical evidence.
More from AGI Musings
- TIME's Doomer Reporters Allegedly Paid by Dustin Moskovitz's Foundation via Tarbell Fellowship — basedjensen · 2026-09-16
- Mozilla Report: China-US AI Model Capability Gap Narrows to 4.4 Months — External_Mood4719 · 2026-09-16
- AI Can Build Your Product but It Can't Automate Demand — alexmacgregor__ · 2026-09-16
- AI Safety Critics: Guardrails Gatekeep Values, Not Paperclips — Why EA Ignores Ideological Hegemony — inductionheads · 2026-09-16
- NYT Opinion: It's Already Too Late to Stop the AI Threat — pstAsiatech · 2026-09-16
- Bill Gates warns the coming AI era will be among history's most turbulent — jerupjerup · 2026-09-16