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Claude computes nine-loop result in a simplified particle-physics model

Anthropic’s guest account says SLAC physicist Lance Dixon independently checked the calculation, which used established methods and a few thousand dollars of compute.

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1 Source, 15d ago, first seen 15d ago

TLDR

Claude calculated a nine-loop six-particle amplitude in planar N=4 super-Yang-Mills, a simplified theory physicists use to test calculation methods. In a guest post published by Anthropic, physicist Matt von Hippel says Claude completed the problem through two established approaches after receiving a short prompt and periodic instructions to continue. SLAC physicist Lance Dixon independently checked the result. The work is a frontier calculation, but not a new real-world particle prediction; another research group had concurrently obtained most of the result with AI assistance.

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1 Source, first seen 15d ago

6.8K likes438 comments2K saves793 reposts
Nine increasingly complex loop diagrams, with the ninth highlighted in orange.
Image: Anthropic

Claude has completed a nine-loop scattering-amplitude calculation that particle physicists had treated as a frontier problem, according to a guest account published by Anthropic. SLAC and Stanford physicist Lance Dixon independently checked the result, while a separate human-led team had been working toward much of the same answer.

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The calculation concerns the six-particle amplitude in planar N=4 super-Yang-Mills. That name is forbidding, but the distinction matters: this is a deliberately simplified theory that physicists use to test mathematical techniques. It is not a direct model of known particles, nor does the result itself predict something new at the Large Hadron Collider.

Scattering amplitudes are formulas used to calculate the likelihood of particle interactions. Physicists often approximate them by adding increasingly detailed corrections called loops. More loops generally mean a more precise result and a much harder computation. Most real-world calculations stop at two or three loops; the previous record in this particular testing ground was eight.

Two routes to the same result

Physicist and science writer Matt von Hippel issued the nine-loop challenge in August after looking for a problem that was difficult because of the required computation, rather than because nobody knew how to approach it. Anthropic physicists Liam Fitzpatrick and Siddharth Mishra-Sharma then gave Claude a short description of the problem inside Claude Science and periodically told it to keep working.

The account says Claude reached the answer in two ways. One used a direct “bootstrap” method, which narrows the possible formula by applying known mathematical constraints. The other worked through a related object called a form factor, following a route connected to Dixon’s earlier research.

Either route would have cost an end user roughly $1,000 to $2,000, according to von Hippel. The direct bootstrap also ran a Python and SymPy workload across 96 CPUs for a week, accounting for about $100 of that budget.

Dixon says he validated the result mostly through the form factor. He described the setup as fragile because a small error in the computational recipe can invalidate the entire calculation, and noted that Claude reconstructed many implementation details that had never been fully documented.

A frontier calculation with important limits

The result did not come from an unknown physical principle or an unexpectedly powerful new algorithm. Von Hippel writes that Claude used established techniques, supported by more computation and stronger software engineering than researchers had previously applied to this exact problem.

There was also a concurrent human result. A group led by Song He at the Chinese Academy of Sciences had already computed most of the nine-loop amplitude with some GPT-6 assistance. The researchers, rather than Claude, will publish and analyze the work for the field.

That leaves a narrower but still notable achievement: an AI system carried a complicated, multi-day theoretical-physics workflow to a verifiable result with limited outside direction. It does not show that every frontier problem will yield in the same way, and it does not replace the expert work needed to validate or interpret the answer.

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Anthropic@AnthropicAINew 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: https://www.anthropic.com/research/yes-claude-can-do-nine-loops15d
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    Anthropic@AnthropicAINew 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: https://www.anthropic.com/research/yes-claude-can-do-nine-loops15d
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