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RSI-Anything: Unlocking Recursive Self-Improvement with World Models

L5 · ResearcherResearcharXiv· 10/9/2026

Presents novel architecture for autonomous AI improvement systems with empirical results across multiple domains

AI Summary

Researchers introduce RSI-Anything, a framework using predictive world models for recursive self-improvement, showing substantial gains in code repair, GUI tasks, and scientific optimization.

Excerpt

Recursive self-improvement (RSI) aims to transform interaction experience into persistent improvements, yet external feedback is costly and world-model predictions may become unreliable as policies evolve. We introduce RSI-Anything, a domain-general framework built on JEPA-Anything that uses predictive world models to guide action and learning-data selection. Observed feedback drives policy or workflow improvement and conditional world-model adaptation, while component and compatibility checks g

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