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My understanding is that the diagnoses are eventually right, but they take a lot of trial and error. You would not be modelling the flawed diagnostic if you take the final result of the trial and error process.

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Kind of like AlphaZero. Train to cheaply predict the result of a more costly search.

The question is, what’s the “opponent” here. In other words how do you actually do a trillion rounds of testing?

Unfortunately we are the agents in this game, so it's our bacon on the line in doing the rounds of testing.

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