AI 导读
OpenAI 内部模型组用约 88 小时、约 1 万个协同 AI 智能体解出 90 年悬而未决的 Navier-Stokes 千禧年数学难题，该模型尚未发布，训练仍在进行。OpenAI 表示它在多项基准上呈阶跃式提升，并维持监控与隔离等前沿评估 safeguards。原文作者指出，该模型的能力曲线高于 GPT-6 Astra，且能更高效地利用额外推理算力。
正文
OpenAI's unreleased internal model sits on a much higher capability curve than GPT-6 Astra.
the one that just solved the 90-year old Navier-Stokes Millennium Prize math Problem.
the new model also appears to use additional reasoning compute much more productively. That's how throwing 10,000 agents and enormous compute at Navier-Stokes could produce something qualitatively different from simply running Astra longer.
This model represents a step-function improvement on many benchmarks, and its training is ongoing. Our internal model group arrived at the Navier–Stokes solution in 88 hours, using around 10,000 coordinating AI agents. Throughout the effort, we maintained the strict safeguards—including monitoring and isolation—that we apply to all our frontier evaluations.在 X 查看被引用的帖子
来源：@rohanpaul_ai · x.com