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    <description><![CDATA[<p>Every impressive computer vision system rests on a boring, enormous pile of labeled data, and almost nobody talks about how that pile gets made.</p><p>The Data Engine is a show about exactly that. Each episode takes one research paper and works through what it actually changed: how Waymo got its cars to label their own driving data, why Meta's Segment Anything Model can cut out an object nobody ever taught it to recognize, how a trick as simple as flipping an image teaches a model more than another million photographs would, and why treating pictures like sentences turned out to be the idea that unlocked the last decade of progress.</p><p>No prerequisites beyond curiosity. If you have ever wondered how a machine learns to see, and who does the unglamorous work that makes it possible, start anywhere.</p><p>Episodes are conversational walkthroughs of the papers, produced with synthetic voices.</p>]]></description>
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      <title><![CDATA[Auto4D Automates Self-Driving Data Labels]]></title>
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      <title><![CDATA[Why Google Treated Images Like Words]]></title>
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      <title><![CDATA[How AI teaches itself object detection]]></title>
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      <title><![CDATA[How Split Brains Fix AI Vision]]></title>
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      <title><![CDATA[RF-DETR shatters the speed accuracy compromise]]></title>
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