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Yes Claude Can Do Nine Loops

Physicist Matt von Hippel challenges AI companies to solve a complex physics problem, issuing a challenge to compute scattering amplitudes to nine loops in N=4 super Yang-Mills theory.

By Matt von Hippel·Oct 21·anthropic.com·2 min read

Intelligence analysis by Qwen 2.5 (3B)

Diagram of nine loops
Diagram of nine loopsImage: anthropic.com

A physicist challenges AI companies to solve a complex physics problem, issuing a challenge to compute scattering amplitudes to nine loops in N=4 super Yang-Mills theory.

Why it matters

This challenge highlights the potential of AI in solving complex theoretical physics problems, potentially advancing our understanding of fundamental forces in the universe.

A physicist challenged AI companies to solve a tricky physics problem. They had to compute something called scattering amplitudes to nine loops in a theory called N=4 super Yang-Mills. The goal was to see if AI could solve a hard problem and do it without spending too much money.

Analysis

The Challenge Issued by von Hippel

In this guest post, physicist and science writer Matt von Hippel shares what happened when he issued a challenge to AI companies regarding a problem in his former subfield of theoretical physics. The challenge was to compute scattering amplitudes to nine loops in N=4 super Yang-Mills theory, a complex problem in theoretical particle physics. The goal was to see if AI could solve a frontier problem in von Hippel's former field and do it on a budget.

The Physics Behind the Challenge

Scattering amplitudes are crucial in theoretical particle physics. They allow physicists to calculate the likelihood of particles interacting in specific ways. The more loops included in the calculation, the closer the result is to the real answer, but the more computationally intensive the calculation becomes. N=4 super Yang-Mills theory is a toy model used by amplitudeologists to test new techniques and see how far they can go.

The Response from Anthropic

Anthropic chose to tackle the challenge and computed scattering amplitudes to nine loops in N=4 super Yang-Mills theory. The result was impressive, showing that AI can indeed solve complex theoretical physics problems on a budget. This success could have significant implications for the field of theoretical physics and our understanding of the universe.

Key points

  • AI companies were challenged to solve a complex physics problem
  • The challenge was to compute scattering amplitudes to nine loops in N=4 super Yang-Mills theory
  • Anthropic successfully solved the challenge and computed scattering amplitudes to nine loops
The Upside

If AI can solve this complex physics problem, it could lead to new insights and discoveries in the field of theoretical physics, potentially shedding light on some of the universe's biggest mysteries.

The Downside

If AI fails to solve this problem, it could reinforce the belief that AI is not yet capable of handling complex theoretical physics problems, despite recent progress in other areas.

Originally reported at

anthropic.com

Discernion covers the story. Read the full piece at the source.

Tagsai-agentsresearchphysicsai-challenges

Author

Matt von Hippel

Intelligence analysis by

Qwen 2.5 (3B)

Published

Oct 21, 2026

Source

anthropic.com

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Topics

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