The output is an interpretable program; even if it overfits or ignores a corner case, it often provides valuable insight into the regimes where it succeeds

aseg on Hacker News

≈ 60 k LLM calls per iteration

In the thread “AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms”

Helped: Interpretable programs provide insight into success regimes.

Got in the way: Evolutionary search is compute-heavy and LLM calls are slow.