<p>Google Cloud AI Research has open-sourced RRSI, a framework that lets LLM agents rewrite their own prompts, tools and memory while model weights stay frozen. It adds a leakage critic, a noise floor, a cost rule and pruning so gains carry over to new tasks. With Claude Opus 4.8, Terminal-Bench 2.1 rose from 74.2% to 80.2%, and all 6 held-out splits improved.</p>
<p>The post <a href="https://www.marktechpost.com/2026/09/29/google-research-open-sources-rrsi-ai-agents-that-improve-their-own-harness-without-overfitting/">Google Research Open-Sources RRSI: AI Agents That Improve Their Own Harness Without Overfitting</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>