So, I thought about this question briefly and I believe this is your answer: Every non-trivial passage through the layers of the neuronal net produces a never-

So, I thought about this question briefly and I believe this is your answer: Every non-trivial passage through the layers of the neuronal net produces a never-before-seen amalgamation of weights. The AI, with this novel information -- data filtered by its neural net and infused with some randomness -- can use the novel data to further process it for correctness. In our case, the randomness is likely caused by genetics and environmental factors. For the AI, it's caused by explicit programming. It's a form of evolution -- things can evolve into novel things by using non-novel substrate thanks to the refinement of selective iteration. It feels like this is similar to how humans consume information using reflection.