Unverified50% confidenceEventExact time
OpenAI recently shared its model's results on the Kakeya conjecture, the Exponential Time Hypothesis (ETH) and quantum chromodynamics (QCD).
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/26/2026
First Seen
Valid until: 11/9/2026
Sources
Related Entities
Related Claims
UnverifiedOpenAI claims its internal model has solved the Millennium Prize problem related to the Navier-Stokes equations, providing both an analytical proof and a Lean formal proof.65% similarUnverifiedOn September 8, 2025, New York University mathematician Tristan Buckmaster publicly released three AI-assisted research results on fluid equations, and in a four-page statement disclosed that OpenAI researchers told him their internal model had generated a finite-time blow-up proof for the Navier-Stokes equations with smooth external force.63% similarUnverifiedThis study provides approximation-theoretic support for models in quantum machine learning that process quantum state inputs, and introduces Sobolev regularity—a classical measure of smoothness—into the quantum setting.61% similarUnverifiedOpenAI released a research result related to the Navier-Stokes equations, which includes a Lean 4 formal proof.61% similarUnverifiedOpenAI's mathematics research touches on the quasi-Riemann hypothesis, the Hodge conjecture, and the BSD conjecture, and extends Hong Wang's Fields Medal-winning three-dimensional Kakeya set dimension conjecture to four dimensions.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1101250API
curl https://kongchang.com/api/v1/knowledge/claims/1101250MCP
get_claim(id=1101250)