
What happened
OpenAI is reportedly close to solving the Hodge conjecture, its second Millennium Prize Problem, after its still officially unconfirmed Navier-Stokes solution. Employees expect a solution soon, though any announcement could be delayed, according to a person familiar with the matter.
Why it matters
The Navier-Stokes PR crisis has made OpenAI cautious about messaging, so the timing of any Hodge announcement is uncertain. The company wants to get the messaging right this time.
What to watch
The math community is more angry than impressed, with some mathematicians seeing their entire field under threat. What OpenAI hopes to gain is unclear, though some inside apparently believe it could feed into recursive self-improvement.
WHO IT HITSMathematicians whose field some see as under threat, and OpenAI's own research and communications teams preparing for a possible Hodge conjecture announcement, are the groups most affected.
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OpenAI's reported push on the Hodge conjecture follows its still officially unconfirmed solution to the Navier-Stokes problem, one of math's seven famous Millennium Prize Problems. For that earlier effort, OpenAI used a variant of its next pretrained model, codenamed Doug, likely at a cost of millions of dollars. Chief researcher Jakub Pachocki had said at the Astra launch that OpenAI would focus on recursive self-improvement first, meaning AI that optimizes itself, rather than math.
What the company hopes to gain from solving these problems is unclear, though some inside OpenAI apparently believe it could feed into recursive self-improvement. The math community, meanwhile, is more angry than impressed, with some mathematicians seeing their entire field under threat. That reaction may explain why, after the PR crisis around Navier-Stokes, OpenAI wants to get the messaging right this time.
Whether a Hodge solution is announced soon hinges on OpenAI's messaging preparations, and the outcome matters most to mathematicians who see their field under threat and to OpenAI's own research teams exploring recursive self-improvement.
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