<?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>皮尔斯 on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/%E7%9A%AE%E5%B0%94%E6%96%AF/</link><description>Recent content in 皮尔斯 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>Mon, 19 Oct 2026 08:06:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E7%9A%AE%E5%B0%94%E6%96%AF/index.xml" rel="self" type="application/rss+xml"/><item><title>溯因推理：从惊讶事实跳到最佳解释，AI 缺哪一跳？</title><link>https://guijiagi.com/posts/2026-10-19-11-peirce-abduction-best-explanation/</link><pubDate>Mon, 19 Oct 2026 08:06:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-19-11-peirce-abduction-best-explanation/</guid><description>皮尔斯把推理分为演绎、归纳、溯因，溯因是从令人惊讶的事实跳到候选解释，本文对照大模型的诊断式回答，指出那一跳的结构差异。</description></item></channel></rss>