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This work uses the Headroom-Closed Index (HCI) to reveal the problems of existing LLMs, and introduces the RSI concept and its development roadmap: from improvement-execution autonomy, improvement-strategy autonomy, experience-acquisition autonomy, and environment-adaptation autonomy, to recursive meta-improvement.
Transition-level supervision can dramatically enhance multimodal model performance, revealing that coherence between text and visuals is crucial for complex reasoning tasks.