PhysicsIntern: from an Autonomous Benchmark-runner to a Research Sidekick

PhysicsIntern, initially launched as an autonomous agent to tackle complex physics research problems, has been redesigned to function as a collaborative research assistant rather than a fully independent entity. The original version successfully demonstrated its structured, multi-agent approach by outperforming baseline models on the CritPt benchmark. However, the feedback indicated a preference for a tool that researchers could interact with, guiding and steering the process rather than relying on an autopilot. The revamped PhysicsIntern allows for greater human involvement, acting more as a set of skills integrated with existing coding tools like Claude Code, Codex, or Pi. It utilizes a git-based system to track progress, ensuring transparency and continuity across research sessions. The new version encourages researchers to participate actively, approving plans and engaging with the research process, which allows for dynamic problem-solving and adaptation to complex, open-ended questions. This shift aims to provide researchers with a more flexible, interactive, and efficient research partner that enhances the problem-solving experience.

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