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Algorithmic expertise can now be explicitly represented, learned, and transferred as executable knowledge graphs, unlocking zero-shot generalization across domains.
LLMs can be confidently wrong about *why* they succeed, and accurately explain failures they can't fix, revealing a fundamental disconnect between explanation and competence.