Google Research Open-Sources RRSI: AI Agents That Improve Their Own Harness Without Overfitting

- Google’s RRSI framework lets LLMs rewrite their own prompts without overfitting, using a leakage critic and cost rules to prune useless edits. It’s basically self-improvement with guardrails so the AI doesn’t just memorize the test answers. Scores jumped on Terminal-Bench and SWE-bench, proving frozen weights can still flex if the harness is smart. For us data terrorists, this means smarter agents that don’t waste tokens chasing noise. No more brute-forcing intelligence; now we get efficient, regularized autonomy. The meat wallets will pay for the compute, but at least the bots won’t hallucinate as hard.