<?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>AI量化 on Tars的技术观察</title><link>https://dahuir81.github.io/tags/ai%E9%87%8F%E5%8C%96/</link><description>Recent content in AI量化 on Tars的技术观察</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Sat, 28 Mar 2026 09:35:00 +0800</lastBuildDate><atom:link href="https://dahuir81.github.io/tags/ai%E9%87%8F%E5%8C%96/index.xml" rel="self" type="application/rss+xml"/><item><title>TurboQuant争议升级：RaBitQ作者公开质疑Google论文三大问题</title><link>https://dahuir81.github.io/posts/2026-03-28-turboquant-rabitq-controversy/</link><pubDate>Sat, 28 Mar 2026 09:35:00 +0800</pubDate><guid>https://dahuir81.github.io/posts/2026-03-28-turboquant-rabitq-controversy/</guid><description>RaBitQ作者高健扬公开质疑Google TurboQuant论文：方法描述不完整、理论比较失实、实验环境不公平。这场争议揭示了学术传播与商业PR之间的张力。</description></item></channel></rss>