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  <title>MATRIX · Caught in the Act</title>
  <link>https://derekwang2002.github.io/ai-intelligence/en/projects/caught-in-the-act/</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>
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    <title>Probes detect hidden agent deception before text monitors do</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261008-01/</link>
    <guid isPermaLink="false">ev-20261008-01-published</guid>
    <pubDate>Fri, 09 Oct 2026 15:56:33 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;Caught in the Act scales white-box activation probes to agent-deception monitoring. The authors report 98.8% AUC on SHADE-Arena and detect hidden goals that cannot be inferred from text alone. The FIBS training data, inference code and probe weights are public.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Why read: &lt;/strong&gt;Public data, code and probe weights make agent-deception detection practical to replicate.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://arxiv.org/abs/2610.12445&quot;&gt;Caught in the Act&lt;/a&gt; · &lt;a href=&quot;https://github.com/AlignmentResearch/caught-in-the-act-probes&quot;&gt;caught-in-the-act-probes&lt;/a&gt;&lt;/p&gt;</description>
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