Drama swirls around OpenAI’s legendary mathematical milestone
OpenAI claims an internal AI model solved the 90-year-old Navier-Stokes problem, sparking a priority dispute with mathematician Tristan Buckmaster.
OpenAI announced a solution to the Navier-Stokes problem, one of the $1 million Millennium Prize Problems, using an internal AI model it says outperforms the newly released GPT-6 Astra alongside 10,000 concurrent agents. NYU professor Tristan Buckmaster, who with Anthropic researcher Levent Alpöge published related findings a day earlier, questioned whether OpenAI accessed drafts from his Codex sessions. OpenAI says no specific user data was accessed, though it cannot rule out that de-identified usage data helped improve its models.
- OpenAI used an internal model plus 10,000 agents, training starting August 28
- The Navier-Stokes problem is one of seven $1M Millennium Prize Problems
- Buckmaster and Anthropic's Alpöge published related findings one day earlier
- OpenAI denies accessing user Codex data and declines the $1M prize
- Products
- Codex
- Organizations
- New York University
From the original article
2 min read at theverge.com
OpenAI says it found a solution to a major math problem that has remained unsolved for around 90 years, as reported earlier by The New York Times and Wired. In a blog post on Tuesday, OpenAI announced that it discovered a solution to the Navier-Stokes problem - which relates to the flow of liquid and gas - using an internal AI model more powerful than the newly released GPT-6 Astra alongside 10,000 concurrent agents.
By Emma Roth · theverge.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.