<?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>神经网络 on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/</link><description>Recent content in 神经网络 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>Wed, 28 Oct 2026 06:56:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/index.xml" rel="self" type="application/rss+xml"/><item><title>机械可解释性进入深水区：我们开始读到硅基大脑的内部电路</title><link>https://guijiagi.com/posts/2026-10-28-09-mechanistic-interpretability-circuits/</link><pubDate>Wed, 28 Oct 2026 06:56:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-28-09-mechanistic-interpretability-circuits/</guid><description>过去两年机械可解释性研究从识别单个神经元走向解析完整计算电路，解读人类如何第一次看懂大模型的内部工作机制。</description></item></channel></rss>