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TLDRocket
29 September 2026
The biggest AI thread today wasn’t model size—it was self-management, and the growing paperwork that keeps it from going off the rails. Google Research and university partners released RRSI, a framework for “regularized recursive self-improvement” that lets an LLM agent rewrite its own harness while model weights stay frozen. On Terminal-Bench 2.1 (evolve split), performance jumped from 74.2% to 80.2%, and the point wasn’t just better scores: RRSI uses leakage checks, noise-adjusted acceptance, and a token-cost rule so gains transfer to benchmarks the agent didn’t optimize.
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