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Sample Efficiency: Humans vs Models

Everyone agrees models need far more data than children. The size of the gap depends entirely on decisions about what to count, and those decisions move the answer by more than the disagreement they are meant to settle. Why there is no single number The comparison sounds like it should reduce to a ratio: tokens seen by a model, words heard by a child, divide. Four things prevent that. The human…

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Schema Evolution in AI Pipelines

Upstream will add a field, rename a field, change a type from string to object, and start sending null where it never did. None of that is avoidable.

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