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      <description>Why training and inference require so much arithmetic, data movement and coordination—and why more compute brings real gains without guaranteeing truth or value.</description>
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      <description>Where a trained model ends, what makes a system agentic, what the surrounding harness does—and why more autonomy is not always better.</description>
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