I'm not the person you asked, but current deep learning models just generate output based on statistic probability from prior inputs. There's no evidence that this is how humans think.

AI should be able to demonstrate some understanding of what it is saying; so far, it fails this test, often spectacularly. AI should be able to demonstrate inductive, deductive, and abductive reasoning.

There are some older AI models, attempting to similar neural networks, could extrapolate and come up with novel, often childlike, ideas. That approach is not currently in favor, and was progressing quite slowly, if at all. ML produces spectacular results, but it's not thought, and it only superficially (if often convincingly) resembles such.