TL;DR Most self-improvement in LLM systems happens around the model: better prompts, better agent scaffolds, better tool use. Model-level RSI is different. It changes the weights of the model itself, without a human handing it new labels.
Source: [Dev.to](https://dev.to/ai_openfree_b23025ef075cf/model-level-rsi-what-it-means-when-a-model-improves-its-own-weights-458b)