RSI-Anything: How a Patch Outcome Can Change the Next Choice
A fixed coder, four patch candidates, one execution: the code experiment isolates predictor adaptation. The wider framework adds conditional updates and checks on which policy–model pair to retain.
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RSI-Anything reports hidden-test all-pass rates of 26.3%, 29.2% and 31.2% for static verification, fixed-world-model selection and adaptive-world-model selection with the same coder and candidate budget. Only the executed patch supplies observed targets for its predictions. Feedback can accumulate across steps before an update-and-acceptance cycle changes either component. The five applications exercise different update pathways, leaving sustained mutual improvement within one task unresolved.