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English(EN) OpenAI’s research on Millennium Prize problems had begun on 1 September. Researchers used a model they had begun training on 28 August, as a swarm of around 10,

OpenAI 智能体着手解决千禧年大奖难题,重点关注纳维-斯托克斯方程

OpenAI 于 9 月 1 日启动了对千禧年大奖难题的研究,动用了大约 10,000 个 AI 智能体的集群。这些智能体使用 OpenAI Codex 工具进行编排,最初评估了所有六个公开难题,但在早期结果显示出希望后,将重点放在了纳维-斯托克斯方程上。该集群生成了约 490 万条消息和 3000 亿个输出 token,其中很大一部分用于纳维-斯托克斯问题,计算持续了 88 小时。 AI

影响 展示了大规模 AI 智能体集群在应对复杂科学和数学挑战方面的潜力。

排序理由 该集群描述了使用 AI 智能体解决复杂数学问题的研究,符合研究类别。

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OpenAI 智能体着手解决千禧年大奖难题,重点关注纳维-斯托克斯方程

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该集群描述了使用 AI 智能体解决复杂数学问题的研究,符合研究类别。
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High
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Breaking (< 6h)
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报道来源 [2]

  1. Mastodon — mastodon.social TIER_1 English(EN) · minoxian ·

    该集群生成了约490万条消息和约3000亿个输出token,其中仅在Navier–Stokes方面就生成了约270万条消息和约1300亿个输出token

    The swarm produced ~4.9 million messages and ~300 billion output tokens, with ~2.7 million messages and ~130 billion output tokens on Navier–Stokes specifically. The claimed solution was reached on 5 September after 88 hours of work. The effort likely cost millions of dollars in …

  2. Mastodon — mastodon.social TIER_1 English(EN) · minoxian ·

    OpenAI 对千禧年大奖难题的研究始于 9 月 1 日。研究人员使用了他们在 8 月 28 日开始训练的一个模型,当时大约有 10 只...

    OpenAI’s research on Millennium Prize problems had begun on 1 September. Researchers used a model they had begun training on 28 August, as a swarm of around 10,000 AI agents orchestrated by the OpenAI Codex tool. The agents initially evaluated all six open Millennium Prize proble…