<?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>覆盖驱动验证 on AutoZYX Blog</title><link>https://blog.autozyx.com/tags/%E8%A6%86%E7%9B%96%E9%A9%B1%E5%8A%A8%E9%AA%8C%E8%AF%81/</link><description>Recent content in 覆盖驱动验证 on AutoZYX Blog</description><image><title>AutoZYX Blog</title><url>https://autozyx.com/assets/ZYX%20logo.png</url><link>https://autozyx.com/assets/ZYX%20logo.png</link></image><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Thu, 11 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.autozyx.com/tags/%E8%A6%86%E7%9B%96%E9%A9%B1%E5%8A%A8%E9%AA%8C%E8%AF%81/index.xml" rel="self" type="application/rss+xml"/><item><title>[译] 覆盖驱动对齐：Teaching Claude Why 能从自动驾驶验证中借鉴什么</title><link>https://blog.autozyx.com/posts/coverage-driven-alignment/</link><pubDate>Thu, 11 Jun 2026 00:00:00 +0000</pubDate><guid>https://blog.autozyx.com/posts/coverage-driven-alignment/</guid><description>Yoav Hollander（Foretellix 联合创始人/CTO）提出：对齐训练可以从自动驾驶领域成熟的覆盖驱动验证（CDV）中获益——用一张显式的、不断精化的覆盖地图来同时指导训练和评估，应对长周期 RL（如 AI CEO）这类最难的对齐情形。本文为全文中译，已获作者授权。</description></item><item><title>从 Robot SOTIF 看 CDV 的跨领域迁移</title><link>https://blog.autozyx.com/posts/robot-sotif-cdv-cross-domain/</link><pubDate>Thu, 11 Jun 2026 00:00:00 +0000</pubDate><guid>https://blog.autozyx.com/posts/robot-sotif-cdv-cross-domain/</guid><description>Foretellix 联合创始人/CTO Yoav Hollander 把覆盖驱动验证（CDV）从芯片验证带进自动驾驶，最近又推到了 AI 对齐。本文从 SOTIF 四象限、Robot SOTIF 的树状结构、模仿学习的瓶颈和中国标准语境出发，解读 CDV 跨领域迁移对自动驾驶安全和机器人安全意味着什么。</description></item></channel></rss>