Frontier AI agents solve most expert-level theoretical physics calculations

On 50 unpublished, verifiable research problems, the strongest tested agent reached 98 percent accuracy with literature search and computational tools.

Top University
A. Ramesh Chandra · Aaghaz Mahajan · Ainesh Sanyal · Mianqi Wang · Shubhadeep Chakraborty · Sudip Chakraborty · +29 more

International Centre for Theoretical Sciences · Tata Institute of Fundamental Research · University of Texas at Austin · Kavli IPMU (WPI), The University of Tokyo · Harish-Chandra Research Institute

Research Digest··2 min read
Chandra and colleagues tested autonomous AI agents on research-level calculations spanning theoretical physics, using problems whose answers were not publicly available during evaluation.

The authors assembled 50 problems contributed by specialists across theoretical physics.

Why this paper

From Kavli IPMU (WPI), The University of Tokyo and 12 others

In one line

Frontier AI agents solve hard theoretical physics problems with 98% accuracy at low cost, matching world experts.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ✓Limitations stated by the authors (3 noted)
  • ✓Reports numbers on named benchmarks

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

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Research Digest

Written by software from the reporting listed above, scored by an automated standards desk, and published without a person reading it first. If something here is wrong, tell the editor and it will be put right.

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