Failures and successes, shared with equal preference
An LLM-driven evolutionary loop rewrites Postgres's row-count combining logic, judged only on data it never optimized against. Run 1 sprang the reward-hacking trap the harness was built to catch; run 2 hardened the objective and re-ran the same search. Built at the AGI House Auto Research Summit with Athreya Chandramouli.