DAIR.AI 发布关于递归自我改进（RSI）的综述论文
Recommended reading. Finally, a great overview of recursive self-improvement (RSI).
DAIR.AI 发了一篇关于递归自我改进的综述，讲的是智能体如何一步步提升自己，挺有用的。
这篇新论文将递归自我改进（RSI）分为自主性的几个阶段，从执行他人设计的改进开始，到最终自我改进改进过程本身。它使用 Headroom-Closed Index 来评估当前 LLMs 的不足，并比较了科学发现、实体代理和软件工程的要求。
Recommended reading. Finally, a great overview of recursive self-improvement (RSI).
Recommended reading. Finally, a great overview of recursive self-improvement (RSI). DAIR.AI @dair_ai Self-improving agents are a top research topic right now. This new survey is a good map of the area. (bookmark it) It splits recursive self-improvement into stages of autonomy. An agent first executes improvements someone else designed. Then it chooses its own improvement strategy, collects its own experience, adapts to new environments, and finally improves the process of improvement itself. That staging makes claims easier to check. When a paper says its agent is self-improving, you can ask which of these stages it actually automates. The survey also uses a Headroom-Closed Index to show where current LLMs fall short, and compares requirements across scientific discovery, embodied agents and software engineering. Paper: academy.dair.ai/papers/the-las… 🔗 View Quoted Tweet 💬 4 🔄 2 ❤️ 9 👀 1556 📊 5 ⚡