Google Research RRSI Guide: Mastering Self-Improving AI Agents
Google Research's RRSI uses noise bands, cost rules, and leakage screens for safer self-improving AI agents.
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Google Research's RRSI uses noise bands, cost rules, and leakage screens for safer self-improving AI agents.

Google's RRSI keeps self-improving agent harnesses from memorizing tests, adding up to 4.7 points on unseen benchmarks.

Google Research open-sourced RRSI, letting frozen-weight agents improve their harness without overfitting benchmarks.
Google Research's RRSI regularizes recursive agent-harness edits, lifting held-out scores while cutting policy tokens.
Google Research's RRSI regularizes recursive agent-harness evolution, lifting out-of-distribution scores while cutting policy tokens 30%.
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