模型多源确认83°

Claude 在物理学家挑战下完成九圈散射振幅计算,打破八圈纪录

精选理由

一条提示词扔给 Claude,它跑了几天,花几千美元就把物理学家保持的八圈纪录推到九圈,Lance Dixon 还亲自验证了结果。

理论物理学家用散射振幅预测粒子行为,每增加一圈(loop)修正精度更高但计算量呈指数级增长,多数计算止步于两三圈。

图片来源 · Anthropic
正文

此前纪录是 SLAC 的 Lance Dixon 团队在 planar N=4 super-Yang-Mills 模型中完成的八圈。物理学家 @4gravitons 发起挑战:AI 能否用学术级算力预算突破八圈。

Claude Science 收到单条描述九圈问题的提示词后,连续数天大体无人监督地运行,最终以几千美元的总成本解决该问题,结果由 Dixon 独立验证。

原文 · Anthropic

New on the Science Blog: Yes, Claude can do Nine Loops. Theoretical physicists predict how particles behave using formulas called scattering amplitudes. These are notoriously hard to compute, so researchers work with layers of increasingly fine corrections called “loops”—each added loop makes the answer more precise but takes exponentially more computation. Most calculations stop at two or three loops. Eight loops was the previous record in a simplified model physicists use as a testing ground (planar N=4 super-Yang-Mills), set by SLAC's Lance Dixon and collaborators. Last month, physicist and science writer @4gravitons issued a challenge: could an AI push past eight loops in this model, using only the compute budget an academic could reasonably access? Given a single prompt describing the nine-loop problem, Claude ran largely unsupervised for days in Claude Science and solved it using methods developed by Dixon and his colleagues, at a total cost of a few thousand dollars. Dixon independently verified the result, and von Hippel wrote about the experience for our blog. Read more: anthropic.com/research/yes-c…📊 790 ⚡

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信源核验说明:本文原始线索采编自「Anthropic」(@AnthropicAI),经 AITOP 多维评分管线结构化提炼。截至目前,全网已有 11 家独立信源对该事件进行交叉印证与跟进报道(含 Kevin Weil、IT之家、rohanpaul_ai 等),属于近期高关注度行业信号。