<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Loop on Lost Temple</title><link>https://cloudcold.ai/tags/loop/</link><description>Recent content in Loop on Lost Temple</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 24 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://cloudcold.ai/tags/loop/index.xml" rel="self" type="application/rss+xml"/><item><title>Loops 详解：Claude、GPT、Mira 与真正有效的东西</title><link>https://cloudcold.ai/posts/2026-06-24-loops-explained-claude-gpt-mira/</link><pubDate>Wed, 24 Jun 2026 00:00:00 +0000</pubDate><guid>https://cloudcold.ai/posts/2026-06-24-loops-explained-claude-gpt-mira/</guid><description>拆解 AI loop 五大 building blocks、token 成本复利陷阱、Ralph Wiggum 静默烧钱 loop，并识破 Mira 软广——把干货科普和特定产品焊在一起的文章，先问被省略的官方方案是什么。</description></item><item><title>WTF Is a Loop? — AI 编程 Loop 争议深度解读</title><link>https://cloudcold.ai/posts/2026-06-09-wtf-is-a-loop-ai-coding/</link><pubDate>Tue, 09 Jun 2026 00:00:00 +0000</pubDate><guid>https://cloudcold.ai/posts/2026-06-09-wtf-is-a-loop-ai-coding/</guid><description>一条六个词的推文让220万人争论&amp;rsquo;Loop&amp;rsquo;到底是什么。从 ReAct 到编排 Loop 的五阶段演进，以及为什么 Loop 而不是模型成了成本最高的部分。</description></item></channel></rss>