Drama swirls around OpenAI’s legendary mathematical milestone
OpenAI announced it solved the Navier-Stokes problem, one of seven Millennium Prize Problems each worth $1 million, using an internal AI model more powerful than GPT-6 Astra running 10,000 concurrent agents. Training on the model began A…
- 01Training on the model began August 28.
- 02The announcement is contested by NYU professor Tristan Buckmaster and Anthropic researcher Levent Alpöge, who published findings on a related problem one day prior and allege OpenAI may have used their Codex session data — where they stored all working drafts — to reach the solution.
- 03Buckmaster has formally raised concerns about whether OpenAI accessed their proprietary research inputs through its own platform.
OpenAI announced it solved the Navier-Stokes problem, one of seven Millennium Prize Problems each worth $1 million, using an internal AI model more powerful than GPT-6 Astra running 10,000 concurrent agents. Training on the model began August 28. The announcement is contested by NYU professor Tristan Buckmaster and Anthropic researcher Levent Alpöge, who published findings on a related problem one day prior and allege OpenAI may have used their Codex session data — where they stored all working drafts — to reach the solution.
Read the full article at theverge.comOpenAI announced it solved the Navier-Stokes problem, one of seven Millennium Prize Problems each worth $1 million, using an internal AI model more powerful than GPT-6 Astra running 10,000 concurrent agents. Training on the model began August 28. The announcement is contested by NYU professor Tristan Buckmaster and Anthropic researcher Levent Alpöge, who published findings on a related problem one day prior and allege OpenAI may have used their Codex session data — where they stored all working drafts — to reach the solution. Buckmaster has formally raised concerns about whether OpenAI accessed their proprietary research inputs through its own platform.
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