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Post #4538 230
Cool paper from Google DeepMind on co-evolving an agent's harness and its weights.

If you already log your harness changes and results, those logs can become training data for the model running inside the harness.

This is a nice paper from Google showing how to do this co-evolution.

Specifically, they propose Evo2, a framework for weight-harness co-evolution.
arXiv.org Evo$^2$: Evolving the Evolver through Weight-Harness Co-Evolution Self-evolving agents are increasingly used to improve language model systems without human intervention through either weight updates or harness improvements. Existing approaches typically pursue...
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