Fields Medals petition against OpenAI says inference race threatens the share of mathematical discoveries

Twenty-five of the world’s leading mathematicians signed an open petition warning that artificial-intelligence labs are beginning to threaten their intellectual work and the academic research system, as these companies race to record showcase victories by solving famous mathematical problems. The petition carries unprecedented qualitative weight because every signatory holds a Fields Medal, the highest scientific honor in the international field of mathematics.

The latest controversy erupted after explicit accusations made by Tristan Bokmaster, a professor at New York University, against OpenAI for pressuring him to prevent credit being attributed to a collaborating researcher who works at the rival Anthropic company after arriving at a precise mathematical solution. Bokmaster raised critical questions about whether the company had exploited his team’s interactions with its Codex tool to generate its own proof over a weekend, using intensive, rapid inference computing to outrun the academic team in announcing the result.

The labs’ competition to spend tens of millions of dollars on large-model computing to seize proof priority pushes the scientific research community toward closure and secrecy.The tension in academic circles intensified, prompting the company to withdraw its sponsorship of a mathematics event at the California Institute of Technology (Caltech) after a wave of direct criticism from institute researchers toward OpenAI’s policies in dealing with the mathematics community and its knowledge outputs.

The petition notes that offering AI models as solutions to mathematical problems will benefit humanity only if the academic community can understand, decompose, and document them with scientific rigor. However, the current reality shows a rush to announce results without allowing sufficient time for verification, isolating the new methods and ideas employed, or properly citing the preceding cumulative research they build upon, leaving OpenAI’s latest proof without independent review confirming its validity to date.

This crisis revives the issue of scientific theft and credit attribution in generative research environments, continuing the warnings issued by the Leiden declaration in June through a specialized working group that studied the impact of language-model proofs and issued recommendations for institutions and legislators. If researchers lose confidence in software tools and begin to fear that their experiments feed central models that could turn against them, the entire open-science system will fracture in favor of secrecy and the withholding of early research drafts.

This shift casts its direct shadow over universities and research centers in the Gulf and Egypt, where national labs are increasingly relying on commercial APIs and closed-source cloud models to analyze equations and develop algorithms. If you manage a research department or supervise doctoral dissertations in the region, this dispute compels you to promptly reassess the flow of sensitive data through external generative tools and move toward running independent local models that ensure your researchers’ intellectual property is not leaked before their results are officially recorded.

The true value of mathematics lies not only in the final numbers of mathematical proofs, but in the cumulative intellectual architecture that educates students and generates the knowledge questions that nourish human civilization, a trajectory threatened by commercial haste that compresses years of rigorous human thought into a server-power influence race among companies.