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papersYESTERDAY 16:32 UTC

Discussion: Why machine learning research agents do not overfit

A Hacker News thread explores why autonomous agents that carry out machine learning research tend not to overfit their results, unlike typical human-run experiment loops. Commenters compare how these systems generate, evaluate, and discard candidate models, and question whether current benchmarks hide overfitting. The conversation also considers how evaluation harnesses and search procedures shape the conclusions agents report.

agents/research/overfitting/benchmarks