Key Findings
GPT-6-Astra, when harnessed in Codex, achieved a near-perfect accuracy of 98% on a test consisting of 50 unpublished research-level theoretical physics problems. The agent operated autonomously without human hints, incurring an average cost of under USD 3 per problem.
Technical Details
The evaluation provided the AI agent with tools reflecting a realistic research setting, including the ability to write scripts for symbolic and numerical work and the capacity to search existing literature. Notably, the researchers observed that accuracy levels remained largely unchanged even when the agent was denied access to web searches and background research papers, suggesting a significant level of memorization of existing literature.
Background and Context
The test suite comprised problems with verifiable answers that would typically take a world expert approximately one day or less to solve, while requiring considerably more time from experts in adjacent specialties. During the assessment, some initial errors attributed to Astra were later found to be subtle errors in the original solutions. Upon consultation with experts and subsequent correction of those original solutions, Astra’s results were confirmed as correct.
Significance and Outlook
These results indicate that current state-of-the-art agents can accurately perform the concrete calculations necessary for theoretical physics research. The ability to solve complex, unpublished problems with high precision and low computational cost suggests a shift in how numerical and symbolic work in the physical sciences may be conducted.
Source: https://humanprogress.org/ai-agent-nears-perfection-on-research-level-physics-test/
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