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The ultimate goal with AI/ML is generalisability and adaptability in unpredictable environments. If you want those, you make it very hard to produce 100% predictability.

I would ask, why do you need predictability? If we are talking about reliability, then simulations and live testing can provide those metrics.

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It's not only unpredictable environments. Actually, a lot of the cases that we want to handle are very predictable. We want to automate solutions for problems that we understand, and create general solutions for problems that fall into the same class.

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