I had a discussion in class with one of my teachers. He says that AI is and can only be always deterministic because “even a deep learning neural network is a set of equations running on a computer, and the stochastic factor is added at the beginning. But the output of a model is always deterministic, even if it’s not interpretable by humans.”

How would you reply? (Possibly with examples and papers)

Tysm!

  • yannbouteiller@alien.topB
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    1 year ago

    Your teacher’s argument is based on the fact that pseudo-random generators are deterministic, which is entirely irrelevant to ML theory.

    If you want to make the point that the “can only be” part is extremely far-reaching, just bring quantum physicists in the discussion.