<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Physics-Ai on BRYSGO</title><link>https://www.brysgo.com/tags/physics-ai/</link><description>Recent content in Physics-Ai on BRYSGO</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 03 Jun 2026 02:33:22 +0000</lastBuildDate><atom:link href="https://www.brysgo.com/tags/physics-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>The AI That Knows Physics Will Eat the AI That Knows Words</title><link>https://www.brysgo.com/post/2026-06-03-the-ai-that-knows-physics-will-eat-the-ai-that-knows-words/</link><pubDate>Wed, 03 Jun 2026 02:33:22 +0000</pubDate><guid>https://www.brysgo.com/post/2026-06-03-the-ai-that-knows-physics-will-eat-the-ai-that-knows-words/</guid><description>&lt;p&gt;While everyone is arguing about which LLM writes better marketing copy, a quieter class of AI is stabilizing 100-million-degree nuclear plasma in real time — and almost nobody in tech is paying attention.&lt;/p&gt;
&lt;p&gt;I&amp;rsquo;ve been thinking about this for a while, and I keep coming back to a simple distinction that I don&amp;rsquo;t hear discussed enough: there&amp;rsquo;s a fundamental difference between AI that learns the statistical shape of human language and AI that learns the actual structure of physical reality. Both are impressive. Only one of them is building a moat that can&amp;rsquo;t be copied.&lt;/p&gt;</description></item></channel></rss>