<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Storytelling on Uni Matrix Zero</title><link>https://unimatrixz.com/tags/ai-storytelling/</link><description>Recent content in AI Storytelling on Uni Matrix Zero</description><generator>Hugo</generator><language>en</language><copyright>Stephan Froede</copyright><lastBuildDate>Thu, 10 Sep 2026 14:22:23 +0200</lastBuildDate><atom:link href="https://unimatrixz.com/tags/ai-storytelling/index.xml" rel="self" type="application/rss+xml"/><item><title>Retrieval Relevance vs. Ontological Persistence</title><link>https://unimatrixz.com/topics/ai-production-architecture/retrieval-relevance-vs-ontological-persistence/</link><pubDate>Wed, 02 Sep 2026 00:00:00 +0000</pubDate><guid>https://unimatrixz.com/topics/ai-production-architecture/retrieval-relevance-vs-ontological-persistence/</guid><description>&lt;p&gt;An AI assistant and a persistent story world operate under two different kinds of information physics. For an assistant, an old preference may deserve less attention than a recent one. For a story world, a fact does not become less true because hundreds of scenes have passed without mentioning it.&lt;/p&gt;</description></item></channel></rss>