<?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>Social Simulation on ideon</title><link>https://knowledge-blog-kkm.netlify.app/tags/social-simulation/</link><description>Recent content in Social Simulation on ideon</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 22 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://knowledge-blog-kkm.netlify.app/tags/social-simulation/index.xml" rel="self" type="application/rss+xml"/><item><title>We Taught Machines to See the World. Can We Teach Them to See Us? | 我们教会了机器看世界，能教它看懂人吗？</title><link>https://knowledge-blog-kkm.netlify.app/posts/2026/06/2026-06-22-we-taught-machines-to-see-the-world-can-we-teach-them-to-see-us/</link><pubDate>Mon, 22 Jun 2026 00:00:00 +0000</pubDate><guid>https://knowledge-blog-kkm.netlify.app/posts/2026/06/2026-06-22-we-taught-machines-to-see-the-world-can-we-teach-them-to-see-us/</guid><description>Fei-Fei Li&amp;rsquo;s World Labs and Yann LeCun&amp;rsquo;s AMI Labs are racing to build world models that understand physics and space. But nobody is building the equivalent for human behavior — even though we arguably have more data about people than about physics.</description></item></channel></rss>