💡OpenAI Solves Navier–Stokes Problem in 88 Hours
AI cracks a century-old math problem
TL;DR
OpenAI used an unreleased model to solve the Navier–Stokes problem in just 88 hours. The solution, one of the seven Millennium Prize Problems, could revolutionize fluid dynamics research.
OpenAI's unreleased model solved the Navier–Stokes problem in 88 hours, marking a significant milestone in AI research. The model, trained on 300 billion output tokens, tackled a century-old math problem worth $1 million. This breakthrough could impact fluid dynamics research and AI's role in solving complex mathematical challenges. The agents sent 4.9 million messages and used approximately 130 billion output tokens to resolve the problem, highlighting the computational power required.
Key Points
OpenAI's model was trained on 300 billion output tokens, costing $15,000,000 at public API prices for GPT-6 Astra.
The agents sent 4.9 million messages and used approximately 130 billion output tokens to resolve the problem.
OpenAI's effort began on September 1st after hearing a rumor about the Navier–Stokes problem being solved.
The agents arrived at their resolution on September 5, about 88 hours after the first agents were launched.
Lean formalization and verification took an additional 17 hours via GPT-6 Astra.
Why It Matters
If you're working on fluid dynamics or complex mathematical problems, this breakthrough could change your approach. The computational power and efficiency of AI models like GPT-6 Astra could lead to faster solutions and new research opportunities. However, the ethical implications of using large datasets to solve such problems are significant and need careful consideration.
Frequently Asked Questions
Why does this matter?
If you're working on fluid dynamics or complex mathematical problems, this breakthrough could change your approach. The computational power and efficiency of AI models like GPT-6 Astra could lead to faster solutions and new research opportunities. However, the ethical implications of using large datasets to solve such problems are significant and need careful consideration.
What happened?
OpenAI used an unreleased model to solve the Navier–Stokes problem in just 88 hours. The solution, one of the seven Millennium Prize Problems, could revolutionize fluid dynamics research.
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