<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>KV Cache on ByF (BaiFan) · 每日深度思考</title><link>https://blog.baifan.site/tags/kv-cache/</link><description>Recent content in KV Cache on ByF (BaiFan) · 每日深度思考</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><managingEditor>blog@baifan.site (ByF (BaiFan))</managingEditor><webMaster>blog@baifan.site (ByF (BaiFan))</webMaster><copyright>CC BY-NC 4.0</copyright><lastBuildDate>Sat, 23 May 2026 09:00:00 +0800</lastBuildDate><atom:link href="https://blog.baifan.site/tags/kv-cache/index.xml" rel="self" type="application/rss+xml"/><item><title>上下文压缩的物理代价：KV Cache 压力、注意力衰减与有损摘要</title><link>https://blog.baifan.site/claude-code-context-compression/</link><pubDate>Sat, 23 May 2026 09:00:00 +0800</pubDate><author>blog@baifan.site (ByF (BaiFan))</author><guid>https://blog.baifan.site/claude-code-context-compression/</guid><description>&lt;p&gt;大模型在物理底层不存在真正意义上的生物记忆，只有在显卡高带宽内存（HBM）中随序列长度线性堆叠的 Key-Value Cache，以及在数学上随序列拉长而被急剧稀释的注意力权重分布。Claude Code 呈现给开发者的所谓长程对话能力，本质上是一套在硬件显存与精度边界夹缝中运行的缓存逐出流水线，伴随着不可逆的信息失真与前缀失效代价。&lt;/p&gt;</description></item></channel></rss>