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

Google Research has unveiled RRSI, an open-source framework designed to help LLM agents self-optimize by refining their internal instructions and tools. By freezing model weights and implementing specialized features like leakage critics and noise floor adjustments, the system avoids common pitfalls like overfitting. The results demonstrate significant improvements in complex benchmarks, suggesting that autonomous systems can reach higher levels of accuracy through self-reflection rather than just model retraining, which could prove vital for enterprise automation.