<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>可解释性 on Sone Blog</title><link>https://s1.work/tags/%E5%8F%AF%E8%A7%A3%E9%87%8A%E6%80%A7/</link><description>Recent content in 可解释性 on Sone Blog</description><generator>Hugo</generator><language>zh-CN</language><copyright>Copyright © 2024 Sone Blog</copyright><lastBuildDate>Thu, 21 May 2026 11:00:00 +0800</lastBuildDate><atom:link href="https://s1.work/tags/%E5%8F%AF%E8%A7%A3%E9%87%8A%E6%80%A7/index.xml" rel="self" type="application/rss+xml"/><item><title>打开黑箱是一场赛跑，可计时器握在选手自己手里</title><link>https://s1.work/posts/reading-03-urgency-of-interpretability/</link><pubDate>Thu, 21 May 2026 11:00:00 +0800</pubDate><guid>https://s1.work/posts/reading-03-urgency-of-interpretability/</guid><description>&lt;p&gt;人类技术史上大概没有先例：造东西的人公开承认，自己不知道造出来的东西是怎么工作的。Dario Amodei 在《可解释性的紧迫性》里把这层窗户纸捅破了，而且给出了我读过的对这件事最准确的描述：生成式 AI 更像是被养出来的，机制是涌现的，没人把那些行为一行行写进去。&lt;/p&gt;</description></item></channel></rss>