OpenAI Forms Math Advisory Group After AI Solves 100 Problems

OpenAI announced on Monday, September 21, 2026, that it has formed an independent Advisory Group on Mathematics and Artificial Intelligence, hosted at the Institute for Advanced Study in Princeton, New Jersey. The nine-member math advisory group will operate independently of the company, giving the field a formal voice in how OpenAI handles its mathematics research.

Days before the announcement, the company made a separate claim that explains the urgency: an internal model it began training on August 28 has resolved more than 100 long-standing open problems across most areas of mathematics, including the Navier-Stokes Millennium Prize problem. OpenAI said the pace of the model's progress surprised its own mathematicians and led to internal discussions about how to inform the community, as reported by TechCrunch.

The company said the group would "serve as a bridge to the mathematical community and broader public," giving mathematicians a say in how OpenAI moves forward with its math research. The group will assess the significance of new results, advise on how their release is coordinated, and weigh in on academic and professional standards for the research, according to coverage by Unite.AI. It will also advise on how OpenAI's tools can support mathematical research and learning.

Advice is welcome; pacing is not on the table

The structure of the group has a built-in limit. Members will not be paid, and OpenAI says they can offer unsolicited advice, comment publicly on the company's impact on mathematics, and control their own membership. That setup is meant to give the group some independence from OpenAI.

But the group cannot advise on the one question mathematicians care about most: how fast OpenAI pursues its internal math research. The company stated that pacing decisions are not the group's business. The Institute for Advanced Study underlined the point in its own announcement, saying it "does not have decision making power at any AI company" and that the responsibility for company decisions "will rest with that company."

The institute's bluntness reflects the mood in the field. Earlier this month, 25 Fields Medal-winning mathematicians signed an open letter titled "A Severe Misalignment of AI in Mathematics," arguing that AI labs are threatening their intellectual work by racing to solve famous problems ahead of one another. The signatories included Terence Tao, Yu Deng, and Peter Scholze, according to reporting by AIBase. OpenAI said the letter showed that AI companies need more thorough communication with the mathematical community.

Why the claims unsettle mathematicians

The Navier-Stokes Millennium Prize problem is one of seven problems for which the Clay Mathematics Institute offers a million-dollar prize, making it one of the most prominent unsolved questions in mathematics. Its solution appeared abruptly, without the usual long runway of peer review and seminar discussion, and many mathematicians felt the field's normal rituals were being bypassed. The additional claim of over a hundred solved problems across most areas of mathematics suggests the model's capabilities are not narrow or lucky.

OpenAI described mathematics as a fundamental science in which new discoveries can produce a wide range of applications, which makes responsible development of these capabilities important beyond mathematics itself. The company said it recognizes this and is working through how broader deployment of math-related AI capabilities can be done responsibly.

For working mathematicians, the questions go beyond one company's claims. If machines can now resolve long-standing open problems in weeks, the craft of mathematical research changes with them. Credit assignment, publication norms, and the way young researchers build careers all assume a pace that AI may already have left behind. An advisory group that can comment publicly but cannot slow anything down gives skeptics a forum for registering concerns the company is free to ignore.

OpenAI framed the math advisory group as the start of a longer engagement rather than a final answer. The company said the group's input would shape how results are released and how standards apply to AI-assisted research. The claimed solutions now face the scrutiny the mathematical community is known for — the same scrutiny that has always decided whether a proof holds up.