DarwinX: Evolving Agent Harnesses Through Natural Selection
The episode discusses the paper "DarwinX: Evolving Agent Harnesses Through Natural Selection," which explores improving AI agents by evolving their surrounding components—prompts, tools, and control flow—instead of retraining the frozen model. The hosts detail how natural selection over a population of harnesses leads to significant performance gains across various benchmarks.