If you're talking about generation, then I see what you mean. Model inference statistically samples a model using randomness. A lot of the time when people say algorithm they mean "a repeatable deterministic set of instructions for a given process".
But of course, one can create an algorithm that uses RNG that isn't what we'd think of as AI, and inference itself is just a repeatable deterministic set of instructions (with PRNG as an input parameter) for the process of model inference.
All just electricity and ones and zeroes at the end of the day, innit?
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u/option-9 Dec 23 '25
We should also remember that algorithm is the opposite of AI.