An unnamed OpenAI model solved the forced version of the Navier-Stokes Millennium Prize problem, and one day later OpenAI told The New York Times it had made "substantial progress on another Millenniu…
OpenAI announced that an unreleased internal model produced a proof solving the Navier-Stokes Millennium Prize problem, using roughly 10,000 AI agents run for 88 hours at an estimated cost of millions…
OpenAI announced that its internal AI system solved the Navier-Stokes existence and smoothness problem, one of the seven Millennium Prize Problems, by proving that fluid motion can develop a singulari…
OpenAI claims 10,000 concurrent agents solved the Navier-Stokes problem, a 90-year-old fluid-motion question with a $1 million Clay prize, in 88 hours, but says it will not claim the bounty. NYU mathe…
OpenAI reported that its Astra-next system, using roughly 10,000 agents and 130B tokens over 88 hours at a cost exceeding $40 million, produced a result related to the Navier-Stokes Millennium Problem…
OpenAI announced that an internal AI system solved the Navier-Stokes existence and smoothness problem, a Millennium Prize problem, using a swarm of about 10,000 concurrent agents that burned 130 billi…
An anonymous Hacker News post claims that an AI model solved the Navier-Stokes problem, one of the seven Millennium Prize Problems, and argues that September 8th should be celebrated as 'AGI Day.' The…
OpenAI has acknowledged it cannot rule out that data from NYU mathematician Tristan Buckmaster's Codex sessions, containing a year of unpublished work on a Millennium Prize problem, was used to train …
OpenAI said Tuesday that an unreleased model and roughly 10,000 coordinating AI agents produced a solution to the Navier-Stokes existence and smoothness problem in about 88 hours, a claim that would r…
OpenAI announced it has solved the Navier-Stokes existence and smoothness problem, one of the Clay Mathematics Institute's Millennium Prize Problems, using an unreleased internal model it says is sign…
OpenAI reported that about 10,000 concurrent agents solved a Navier–Stokes problem in 88 hours, using 2.7 million messages and 130 billion output tokens, with a separate 17-hour formal verification us…
A new goal-agnostic control framework for partial differential equations (PDEs) using a joint-embedding predictive architecture (JEPA) achieves a matched 50-episode native reward of -10.90±0.91 on the…