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TraceML analysis suggests Codex agents use a narrower set of research skills than Kaggle Grandmasters
TraceML’s creators say transferring identified human research skills to Codex agents can substantially improve final outcomes.
TLDR
The team behind TraceML says its tool compares the research strategies of Codex agents and Kaggle Grandmasters. Their analysis found that the human experts drew on a broader set of skills, while the agents concentrated on a narrower subset. The team says distilling those human skills into Codex agents can substantially improve final outcomes. TraceML is slated for presentation at NeurIPS 2026 E&D.
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