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People optimize for local objectives and lose sight of global ones. The shape is always the same: you win at the thing directly in front of you, and in doing so, you lose something larger. Most tasks are very local, and in ML this has become extreme. We train on language and evaluate on language. It’s the same domain, so it must be fair. But “all human knowledge” turned out to be…
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