Rohan Paul (@rohanpaul_ai) on X
A tweet describing Google's RRSI (Regularized Recursive Self-Improvement of Agent Harnesses), a framework that automatically evolves all non-model components of an LLM agent — prompts, control flow, tool use and memory — while keeping the underlying LLM weights frozen. The "regularized" aspect suggests constraints added to recursive self-improvement loops to keep the evolved harness stable or bounded, distinguishing it from unconstrained self-modifying agent approaches.
TL;DR Google's RRSI framework automatically evolves an LLM agent's prompts, control flow, tools and memory around a frozen model.
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- Regularized Recursive Self-Improvement
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