OpenAI's AI Math Breakthrough on Millennium Problem Sparks Fierce Attribution Battle

Reviewed byNidhi Govil

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OpenAI claims its AI agents solved the Navier-Stokes equations, one of seven Millennium Problems worth $1 million. But the announcement has ignited a bitter dispute with mathematicians who say the company rushed to beat researchers using rival Anthropic's tools, raising questions about attribution and the future of collaborative mathematical research.

OpenAI Deploys Massive AI Resources to Crack Millennium Problem

OpenAI announced on September 8 that it has solved one of mathematics' most challenging puzzles: the Navier-Stokes existence and smoothness problem, part of the seven Millennium Problems identified by the Clay Mathematics Institute in 2000

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. The company deployed an unprecedented 10,000 AI agents over 88 hours, representing one of the largest amounts of computing power ever directed at a single scientific problem

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. The solution demonstrates that the Navier-Stokes equations, which describe fluid motion and are routinely used by aircraft designers and climatologists, can break down under certain conditions and predict physically impossible scenarios such as infinite fluid velocity

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Source: Wccftech

Source: Wccftech

"Our proof does show that there exist fluids which start out perfectly normal, and under the Navier-Stokes equations, actually achieve infinite speed in a finite amount of time," said OpenAI computer scientist Ven Chandrasekaran

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. OpenAI mathematician Sebastian Bubeck described it as "the spectacular culmination of the arc we have seen over the last 12 months" as AI in mathematics solved problems of increasing complexity

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. The company used an internal model significantly more capable than its recently released Astra model and says it does not plan to claim the $1 million prize

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Accusations of Plagiarism and Rushed Competition

The breakthrough has been overshadowed by a fierce controversy over attribution. NYU professor Tristan Buckmaster and Levent Alpöge, a researcher at Anthropic, had been working on the Navier-Stokes problem for nearly a year using publicly available models from both OpenAI and Anthropic

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. On September 7, they released a solution for a simplified zero-viscosity version of the equations

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. OpenAI researchers admitted they decided to focus resources on the Navier-Stokes problem on September 1 after hearing rumors about Buckmaster and Alpöge's progress

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Source: New York Post

Source: New York Post

Buckmaster publicly accused OpenAI of pressuring him not to credit Alpöge, who works for competitor Anthropic, and questioned whether the company had accessed transcripts of their AI-assisted work with Codex

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. According to documents Buckmaster released, OpenAI employees presented him with two options: either post his work independently with OpenAI following the next day, or collaborate on a paper that excluded Alpöge due to his Anthropic affiliation

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. While OpenAI's Mark Chen denied that agents or employees accessed Buckmaster and Alpöge's transcripts, the company offered no response when asked if their models had been trained on those transcripts

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Fields Medalists Warn Against AI's Threat to Mathematical Culture

Twenty-five Fields Medal winners signed an open letter arguing that AI labs are threatening intellectual work in mathematics as they race to solve famous problems

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. The declaration, released on Friday, decries a "severe misalignment" between AI companies' goals and those of mathematics, warning that the "mass production" of AI-generated proofs endangers the human culture of mathematical understanding

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"Often these solutions are announced in a rush, leaving no time for a proper writeup, the isolation of new methods and ideas, and citing relevant previous work of others," the mathematicians wrote, noting that OpenAI's proof remains unverified

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. The statement emphasizes that without willing mathematicians to develop and integrate AI-conceived ideas into the mathematical canon, "the crucial human transmission chain between mathematicians would be lost"

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Notably, Terence Tao, who appeared in an OpenAI promotional video months ago, signed the declaration after his views evolved toward greater concern. He reflected on his blog that the situation "has deteriorated markedly," with companies "increasingly focused on the race to develop extremely powerful, autonomous AI technologies regardless of their actual value to society"

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Open Research Culture Under Threat

Mathematicians are growing paranoid about whether their use of tools like Codex feeds into OpenAI's models, creating real fear that the culture of open research will be threatened

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. If frontier labs can spend tens of millions of dollars using large language models to beat original researchers to discoveries, this dynamic will incentivize secrecy

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Source: Benzinga

Source: Benzinga

OpenAI withdrew its sponsorship of a math event at CalTech after criticism from university researchers

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. The controversy has also spurred the formation of the Association for Human Mathematics, launched by concerned mathematicians even before the Navier-Stokes announcement

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. "Sentiment has been building for a while now that the current relationship between math and AI companies is both harmful and short-sighted," says MIT assistant professor Naomi Sweeting

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What This Means for Mathematics and Beyond

The episode raises fundamental questions about how human mathematicians will fit into a future where AI-driven mathematical research on major problems may require resources only available at a few frontier companies that often defy academic collaboration norms

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. The Leiden Declaration, released by a working group of mathematicians in June, grapples with how large language model proofs will change mathematical work and offers recommendations for mathematicians, institutions, and policymakers

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Mathematicians argue the value isn't just in proofs and credit, but in the intellectual infrastructure that educates students, generates new questions, and integrates discoveries into broader civilization

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. The Fields medalists' statement frames mathematics as "a miniature version of humanity" facing alignment issues that impact other scientific and creative professions and "the whole of society"

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. As one mathematician warned: "The issues the mathematical community faces now are similar to issues that other scientific and creative professions are facing. Your field of interest is next"

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