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      <title>When AI Knows the Map but Gets Lost on the Journey</title>
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      <description>A controlled shortest-path study shows why AI agents can transfer to new settings yet still fail when the task horizon gets longer.</description>
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      <title>Scaling Smarter, Not Larger: Why Your AI Dataset Is Probably Wasting Money</title>
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      <description>A mechanism-first reading of MOSAIC, showing how scaling-aware data selection turns AI training data from a volume problem into a marginal-utility allocation problem.</description>
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