Frank Calegari on Tao's blog: OpenAI's 700-paper dump is a watershed for mathematics
fkasummer · x · 2026-11-03
Writing a guest post on Terence Tao's blog, Frank Calegari addresses mathematicians' anxieties about AI:
- Watershed: OpenAI's October 6 release of 700+ research papers marks a turning point — AI is now undeniably capable of groundbreaking contributions across many areas of mathematics.
- Criticism of OpenAI: the papers are atrociously written, violate attribution norms, and some are outright wrong; mathematicians should focus on what they control — hiring, publishing, training students.
- Math isn't hollowed out: the dump barely dented the Langlands program's central problems, and even solving all of them wouldn't "solve number theory," just as the periodic table didn't end chemistry. Central problems are merely natural boundaries of understanding.
Calegari argues mathematicians should accept that "mathematics has changed" and act accordingly.
More from AGI Musings
- Prime Intellect resident poses the RL frontier problem: how do you reward unverifiable knowledge work? — xeophon · 2026-11-03
- Tim Lee: Pretraining is imitation learning, post-training is reinforcement learning — binarybits · 2026-11-03
- Robot sims should prioritize accurate physics over visuals, turning sim creation into an auto-research loop — wellecks · 2026-11-03
- Top-tier mechinterp research is 'dual use', researcher argues in AI safety circles — cephaloform · 2026-11-03
- LLM tools are mass-converting academic CVs into narrative-style prose — MarlosCMachado · 2026-11-03
- Causal ML decision-support system for acute heart failure enters first-in-human trial — ShalitUri · 2026-11-03