<?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>对齐训练 on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/%E5%AF%B9%E9%BD%90%E8%AE%AD%E7%BB%83/</link><description>Recent content in 对齐训练 on AI 实战派 · 从技术到赚钱</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>Sun, 18 Oct 2026 09:00:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E5%AF%B9%E9%BD%90%E8%AE%AD%E7%BB%83/index.xml" rel="self" type="application/rss+xml"/><item><title>AI辩论：让模型对辩能不能逼近真理与对齐</title><link>https://guijiagi.com/posts/2026-10-18-20-debate-theory-ai/</link><pubDate>Sun, 18 Oct 2026 09:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-18-20-debate-theory-ai/</guid><description>辩论理论让两个AI就同一问题互相攻防，由裁判评估谁更有说服力，试图用对抗结构产出可靠结论并训练对齐，本文拆解辩论机制的增益来源与裁判瓶颈。</description></item></channel></rss>