This may be what they were getting it, but it is still wrong. An NN is a computable function. So, NN inference is an algorithm for computing the function the NN represents. If we have an NN that represents a function f, with f(text) = most likely next character a human would write, then running the inference for that NN is an algorithm for finding out which character it's most likely a human would write next.
It's true that this is not an "enlightening" algorithm, it doesn't help us understand why or how that is the most likely next character. But this doesn't mean it's not an algorithm.
