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Exactly. So long as we're talking about accuracy in terms of precision, and not "5% of the time the result will be nonsense", people already make this sacrifice every day.

There are also plenty of existing models where accuracy is ultimately assured, but not always maintained internally. Branch prediction, for example. The computer guesses which way the branch will go! This can give a big speed boost depending on the workload and the predictor, and the computer assures accuracy by fact-checking the guess down the line.

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