<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
  <title>MATRIX · AutoTrust decision models</title>
  <link>https://derekwang2002.github.io/ai-intelligence/en/projects/autotrust-decision-models/</link>
  <description>Material changes in AI models, agents, engineering and infrastructure, with primary sources and recommendations.</description>
  <language>en</language>
  <lastBuildDate>Mon, 02 Nov 2026 16:56:00 GMT</lastBuildDate>
  <atom:link href="https://derekwang2002.github.io/ai-intelligence/en/feeds/projects/autotrust-decision-models.xml" rel="self" type="application/rss+xml"/>
  <item>
    <title>AutoTrust decision models surge on Hugging Face without independent validation</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261002-05/</link>
    <guid isPermaLink="false">ev-20261002-05-published</guid>
    <pubDate>Mon, 05 Oct 2026 16:01:12 GMT</pubDate>
    <category>New</category>
    <category>IGNORE</category>
    <description>&lt;p&gt;AutoTrust published two Apache-2.0 decision-oriented models: GEV-26B-Decide, based on Gemma 4, and JEV-27B-VL, based on Qwen3.8. Their Hugging Face pages showed roughly 447,000 and 1.28 million downloads during this review. The only listed evaluation is an author-run, unverified Decision Index result, and JEV lists no model-index result.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;AutoTrust models pair high downloads with weak validation, supporting an explicit IGNORE judgment.&lt;/p&gt;&lt;p&gt;Recommendation: IGNORE&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://huggingface.co/autotrust/GEV-26B-Decide&quot;&gt;AutoTrust GEV-26B-Decide model card&lt;/a&gt; · &lt;a href=&quot;https://huggingface.co/autotrust/JEV-27B-VL&quot;&gt;AutoTrust JEV-27B-VL model card&lt;/a&gt;&lt;/p&gt;</description>
  </item>
</channel>
</rss>
