The lead
Guest post on Terence Tao's blog: after OpenAI released over 700 research papers on 6 October, choosing problems may matter more than proving them
The post sits on one of the most-read maths blogs and drew 286 comments on Hacker News in a day. It is the clearest statement yet from inside a top field that the job moves from answering questions to choosing them.
Mathematician Frank Calegari argues that OpenAI's release of over 700 research papers on 6 October changed the field, and that the scarce skill is now picking worthwhile problems, not producing proofs. He proposes treating all work as possibly AI-assisted, interviewing students and postdocs in person, and pushing journals to change their practices.
CONVOInterview line for any finance role: when models and memos get cheap to produce, the value moves to picking the question the CFO needs answered, and he can say that is how he worked on the INJAZ sell-side process.