Guest post on Terence Tao's blog: how mathematics should adjust to AI
In a guest post on Terence Tao's blog, mathematician Frank Calegari describes OpenAI's October 6 release of more than 700 research papers as a turning point: AI can now make groundbreaking contributions across mathematics, yet the papers are badly written, ignore attribution norms, and some are wrong. Pointing to the classification of finite simple groups, he warns against declaring a field finished once its famous problems fall. Rather than focus on the companies, he argues mathematicians should change what they control: evaluate all work as if AI-assisted, hire through in-person conversations, demand more from journals, broaden graduate training, give better seminars, and take responsibility for vetting AI results. Choosing worthwhile problems, he says, may matter more than producing proofs.
