OpenAI Says Its AI Solved a Millennium Prize Problem
OpenAI said the internal model used 10,000 agents and millions of dollars in compute, while rival mathematicians dispute the credit.
- OpenAI announced that its AI solved the Navier-Stokes Millennium Prize problem after about 88 hours of computation using approximately 10,000 agents and extensive computing resources.
- Mathematicians Tristan Buckmaster and Levent Alpöge had prior related progress on fluid dynamics problems and raised concerns that OpenAI rushed its solution after learning about their work, sparking controversy about research credit and data use.
- OpenAI denied accessing Buckmaster and Alpöge's unpublished work or private data, recognizing their contributions but stating that the AI-generated solution was significantly different in nature.
- The event marks a major breakthrough in mathematics and highlights challenges in credit and ethical disputes as AI increasingly tackles complex proofs despite high computational costs.
390 Articles
390 Articles
OpenAI's announcement of a historic mathematical breakthrough has been overshadowed by a dispute over where the idea behind the AI came from. Mathematician Tristan Buckmaster claims that OpenAI learned of its non-public process shortly before it announced the finished solution. The company denies such allegations.
One of the seven so-called Millennium Problems – with a prize of one million dollars.
'Why would you ruin your career?': OpenAI claims to have cracked one of math's greatest unsolved problems, but mathematicians allege it played dirty
The breakthrough on the Navier-Stokes equations could be worth a $1 million prize, but a mathematician at the center of the story has serious questions about how OpenAI got there so fast.
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