人类最后建造的AI：迈向真正递归自我改进
The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
这篇论文讲的是AI如何通过自我改进来持续进化，挺有意思的，和普通LLM的更新方式不太一样。
论文提出递归自我改进（RSI）概念，用Headroom-Closed Index（HCI）指出现有LLM的问题，并规划从改进执行自主到环境适应自主的路线图，分析其在科学发现、具身智能等场景的应用。
The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
Recursive self-improvement (RSI) enables AI systems to turn experience and feedback into persistent changes that improve both their capabilities and the process of future improvement. We first use the Headroom-Closed Index (HCI) to reveal the problems of existing LLMs, then introduce 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. Next we examine RSI across scenarios (e.g., scientific discovery, embodied intelligence, software engineering), highlighting their distinct requirements and development speeds. Drawing on diverse industry practices and preliminary empirical evidence, we connect RSI research with practical systems and identify key challenges to achieving genuine RSI.
