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    <lastBuildDate>Tue, 11 Aug 2026 12:00:00 -0400</lastBuildDate>
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      <title>A simpler rule beat the hierarchy on GPT-2. Here’s what that means.</title>
      <link>https://ephemerent.com/news/drfsp-robust-compression</link>
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      <pubDate>Sun, 09 Aug 2026 12:00:00 -0400</pubDate>
      <author>hello@ephemerent.com (Kenju Tomita)</author>
      <category>Research Dispatch</category>
      <category>Neural network compression</category>
      <description>A controlled experiment rewarded a sophisticated compression hierarchy. A small GPT-2 test did not. The reversal became the real result.</description>
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        <p>I built a sophisticated hierarchy to compress neural networks without erasing rare-domain behavior. It worked perfectly in a controlled setting. On GPT-2, a much simpler robust baseline did better at aggressive compression—and that became the real result.</p>
        <p><a href="https://ephemerent.com/news/drfsp-robust-compression">Read the full Research Dispatch at Ephemerent News.</a></p>
        <p><a href="https://ephemerent.com/journal/article/distribution-robust-functional-subset-projection-for-structured-neural-network-width-compression">Open the peer-reviewed research record at Ephemerent Research.</a></p>
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