Drama swirls around OpenAI’s legendary mathematical milestone
The Verge Emma Roth ● Covered by 7 sources
OpenAI says it cracked a 90-year-old math problem. The claim touches a $1 million prize problem and uses a model bigger than GPT-6 Astra.
Based on reporting by The Verge, Emma Roth — read the original for the full story.
Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error
OpenAI says it has found a solution to the Navier-Stokes problem, a major math puzzle that has resisted a fix for about 90 years. The company made the claim in a blog post on Tuesday, after earlier reporting by The New York Times and Wired.
The problem deals with how liquids and gases move. It is one of the seven Millennium Prize Problems, and each one carries a $1 million reward for a solution. That makes this more than a neat AI party trick; it is a very public swing at one of math’s most famous standing challenges.
According to OpenAI, the work used an internal AI model that was more powerful than the newly released GPT-6 Astra, plus 10,000 concurrent agents. The company also says it began training that internal model on August 28.
OpenAI says the model has shown something it described as “unpreced…” before the source cuts off. That’s the part where everyone stops talking and starts asking for the proof, because a claim like this lives or dies on whether the math holds up outside a blog post.
My take — AI-written commentary, not fact-checked reporting
This is exactly the kind of announcement that makes closed AI systems look both impressive and annoying at the same time. Big claims, tiny access, then everyone else has to wait for the receipts. The pattern is clear: the stronger the model, the louder the victory lap before the hard part is actually checked.
Read more about this at: The Verge