NYU mathematician Tristan Buckmaster says OpenAI's release of 722 AI generated papers destroyed early career mathematicians' careers
NYU math professor Tristan Buckmaster says OpenAI’s Tuesday drop of 722 AI-generated math papers has "destroyed the careers of early career mathematicians.”
Context
A leading fluid dynamics mathematician, already in a public credit dispute with OpenAI, is adding his voice to the backlash over how mass AI generated results affect people building careers in math.
On October 6, OpenAI released a repository of 722 manuscripts it says contain solutions to a number of math problems, and the release drew an open letter from the Association for Human Mathematics urging colleagues to stop working with OpenAI. Buckmaster, a professor at NYU's Courant Institute, had already accused OpenAI in September of racing his team, with Anthropic mathematician Levent Alpöge, to a Navier Stokes result, claims OpenAI's Sebastian Bubeck called false and inflammatory. An October 8 paper also argued that a passing Lean check does not prove an AI translated proof is right.
Deep dive
According to a post by unusual_whales, Buckmaster said OpenAI's Tuesday drop of 722 AI generated math papers has "destroyed the careers of early career mathematicians." The post does not link to where he said it, and no original statement from him could be found, so the exact wording and context are unconfirmed.
The concern ties into a broader argument in the field. In a September blog post, Terence Tao discussed the view that deep theorems were scarce and difficult and so served as a way to identify deep thought, and that AI has broken this system. For early career researchers, whose jobs depend on a few strong results, a sudden flood of AI produced solutions could make it harder to stand out or to claim open problems.
Buckmaster is not a neutral observer. In September he said OpenAI raced his work with Alpöge on the Navier Stokes problem, alleged that Bubeck asked him to drop Alpöge's credit, and raised the possibility that his own Codex use informed OpenAI's effort, according to TechCrunch's reporting. Bubeck called the claims false and inflammatory. Buckmaster himself uses AI heavily, including Codex and Claude, in his research.
OpenAI has not responded publicly to this specific remark.
What to expect next
Watch for Buckmaster's own fuller statement and any response from OpenAI, which would show what he meant and whether OpenAI changes how it releases AI generated work.
Also watch hiring and journal policy. If departments and journals start setting rules on credit for AI assisted results, that would directly shape early career prospects. The verification debate around Lean checks, raised in an October 8 paper, will also decide how much of the 722 manuscripts the field accepts.