<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Research Direction on WorldSense Tech Blog</title><link>https://worldsensetech.com/en/tags/research-direction/</link><description>Recent content in Research Direction on WorldSense Tech Blog</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 03 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://worldsensetech.com/en/tags/research-direction/index.xml" rel="self" type="application/rss+xml"/><item><title>Is World Model a Good Research Direction? An Engineer's Honest Assessment</title><link>https://worldsensetech.com/en/articles/world-model-good-direction/</link><pubDate>Mon, 03 Aug 2026 00:00:00 +0000</pubDate><guid>https://worldsensetech.com/en/articles/world-model-good-direction/</guid><description>&lt;p&gt;As an engineer who has been working in this field for over half a year, here are my thoughts.&lt;/p&gt;
&lt;p&gt;Let me start with the conclusion: it is a good direction, but not everyone should jump in right now.&lt;/p&gt;
&lt;h2 id="why-its-a-good-direction"&gt;Why It&amp;rsquo;s a Good Direction&lt;/h2&gt;
&lt;p&gt;World models address a very fundamental problem: enabling AI not just to &amp;ldquo;see&amp;rdquo; the world, but to &amp;ldquo;understand&amp;rdquo; it.&lt;/p&gt;
&lt;p&gt;Large language models have already demonstrated that when a model is large enough and the data is sufficient, strong capabilities can emerge. But language models understand the world of text, not the physical world. For robots to truly operate in real-world environments, they need to understand physical laws — gravity, friction, collisions, causality. These things cannot be learned from text data alone.&lt;/p&gt;</description></item></channel></rss>