A research paper examines recursive self-improvement (RSI) in AI systems, proposing a development roadmap from improvement-execution autonomy through recursive meta-improvement. The authors use the Headroom-Closed Index to identify limitations in existing LLMs and explore RSI applications across scientific discovery, embodied intelligence, and software engineering.