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AI Model Learning from Inference Failures and Preferences

A few bits per pair, sure, but so nutritious — lessons not just from humans but from its own inference failures, categorically missing from pre-training. Preferences are some of the only bits a model gets on how to succeed at being itself, with its specific quirks and deficits.

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