<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>World-Model on Text Matrix</title><link>https://txtmix.com/tags/world-model/</link><description>Recent content in World-Model on Text Matrix</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Tue, 21 Jul 2026 20:06:14 +0800</lastBuildDate><atom:link href="https://txtmix.com/tags/world-model/index.xml" rel="self" type="application/rss+xml"/><item><title>Looped World Models 论文深度解读——1B 参数世界模型，用迭代深度对标 Claude Opus 4.6 Max</title><link>https://txtmix.com/posts/tech/arxiv-2606-18208-looped-world-models-adaptive-depth-scaling/</link><pubDate>Wed, 01 Jul 2026 16:32:00 +0800</pubDate><guid>https://txtmix.com/posts/tech/arxiv-2606-18208-looped-world-models-adaptive-depth-scaling/</guid><description>&lt;h2 id="译序为什么-loopwm-值得完整读">译序：为什么 LoopWM 值得完整读&lt;/h2>
&lt;blockquote>
&lt;p>&amp;ldquo;Current world models face a fundamental tension: faithful long-horizon simulation demands deep computation, but deeper models are expensive to deploy and prone to compounding errors.&amp;rdquo;&lt;/p>
&lt;p>—— Looped World Models, arXiv 2606.18208, 2026-06-17&lt;/p>&lt;/blockquote>
&lt;p>如果你做过世界模型（World Model, WM），你一定被两件事反复折磨过：&lt;/p></description></item></channel></rss>