<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Saganode on Uni Matrix Zero</title><link>https://unimatrixz.com/tags/saganode/</link><description>Recent content in Saganode on Uni Matrix Zero</description><generator>Hugo</generator><language>en</language><copyright>Stephan Froede</copyright><lastBuildDate>Fri, 09 Oct 2026 19:50:54 +0200</lastBuildDate><atom:link href="https://unimatrixz.com/tags/saganode/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Tokenomics: Why the LLM Price War Is Not a True Cost Competition</title><link>https://unimatrixz.com/blog/ai-tokenomics-llm-preiskampf/</link><pubDate>Thu, 08 Oct 2026 00:00:00 +0000</pubDate><guid>https://unimatrixz.com/blog/ai-tokenomics-llm-preiskampf/</guid><description>&lt;p&gt;When major AI providers cut their prices, it is often read as clear evidence of technical progress: the model has become more efficient, so inference must be cheaper. That may be true. But it is only one possible explanation.&lt;/p&gt;
&lt;p&gt;Today&amp;rsquo;s competition between large LLM providers blends at least three distinct things: technological efficiency, strategic pricing, and economic value for the user. A low customer price therefore does not prove a low production cost. Nor does a low price per token say anything conclusive about the cost of completing productive work.&lt;/p&gt;</description></item></channel></rss>