<?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>认知容量 on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/%E8%AE%A4%E7%9F%A5%E5%AE%B9%E9%87%8F/</link><description>Recent content in 认知容量 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>Sun, 18 Oct 2026 13:24:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E8%AE%A4%E7%9F%A5%E5%AE%B9%E9%87%8F/index.xml" rel="self" type="application/rss+xml"/><item><title>人脑只有四个并行槽，模型的工作记忆为什么能无限摊开</title><link>https://guijiagi.com/posts/2026-10-18-14-working-memory-capacity-kv-cache/</link><pubDate>Sun, 18 Oct 2026 13:24:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-18-14-working-memory-capacity-kv-cache/</guid><description>米勒七加减二被考恩压缩到四组块，工作记忆有硬容量边界，模型的上下文缓存是关联存储而非并行槽，无限摊开改变了认知结构的前提。</description></item></channel></rss>