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  <title>MATRIX · PixelUMM</title>
  <link>https://derekwang2002.github.io/ai-intelligence/en/projects/pixelumm/</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>PixelUMM opens a single pixel-space model for understanding and generation</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261001-02/</link>
    <guid isPermaLink="false">ev-20261001-02-published</guid>
    <pubDate>Fri, 02 Oct 2026 16:00:56 GMT</pubDate>
    <category>New</category>
    <category>WATCH</category>
    <description>&lt;p&gt;The PixelUMM team released code and a 15.2B-parameter checkpoint for one autoregressive model that reads and generates images and video directly in pixel space. The design removes a separate vision encoder and VAE, but the public repository provides inference, evaluation and only a small illustrative training example. The checkpoint carries a noncommercial NVIDIA license.&lt;/p&gt;&lt;p&gt;Recommendation: WATCH&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://huggingface.co/nvidia/PixelUMM&quot;&gt;NVIDIA PixelUMM model card&lt;/a&gt; · &lt;a href=&quot;https://github.com/nv-tlabs/PixelUMM&quot;&gt;PixelUMM source repository&lt;/a&gt; · &lt;a href=&quot;https://arxiv.org/abs/2609.38597&quot;&gt;PixelUMM paper&lt;/a&gt;&lt;/p&gt;</description>
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