this post was submitted on 21 Nov 2023
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Machine Learning

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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!

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[–] dont_tread_on_me_@alien.top 1 points 11 months ago

He’s right, unless you factor in hardware effects such as bit flips which will always occur at non-zero probability. Anyways the same is true for people. Neglecting quantum effects, we are of course also made of fully deterministic processes. So to me it’s not so interesting a distinction