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    <title>Dr. Sebastian Schmoll — Research &amp; writing</title>
    <link>https://schmoll.ai/posts/</link>
    <description>Hands-on ML studies with real data and reproducible setups.</description>
    <language>en</language>
    <item>
      <title>Less bias, better transfer?</title>
      <link>https://schmoll.ai/posts/foundation-models-head-ct/</link>
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      <pubDate>Fri, 18 Sep 2026 00:00:00 GMT</pubDate>
      <description>A frozen, self-supervised foundation model — trained only on everyday photos, never on medical images — detects intracranial hemorrhage on head CT at ~0.94 AUC. What drives the transfer isn't what I bet on.</description>
    </item>
    <item>
      <title>Can a video-AI recipe learn language?</title>
      <link>https://schmoll.ai/posts/lejepa-text-pretraining/</link>
      <guid isPermaLink="true">https://schmoll.ai/posts/lejepa-text-pretraining/</guid>
      <pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate>
      <description>LeCun's newest self-supervised recipe trains video models at up to 20× less compute. I ported it to text and ran the controls. Result: a model that never reads more than 30% of any text learns better text representations than models that read everything — and the new invariance loss is not what makes that work.</description>
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