<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>AI自我改进 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/ai%E8%87%AA%E6%88%91%E6%94%B9%E8%BF%9B/</link><description>Recent content in AI自我改进 on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 02 Jul 2026 10:37:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/ai%E8%87%AA%E6%88%91%E6%94%B9%E8%BF%9B/index.xml" rel="self" type="application/rss+xml"/><item><title>AI自我改进循环：递归增强的边界</title><link>https://guijiagi.com/posts/ai-self-improvement-loop/</link><pubDate>Thu, 02 Jul 2026 10:37:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-self-improvement-loop/</guid><description>AI自我改进的边界在哪里？递归增强的可能性与风险</description></item></channel></rss>