In order to train an ANN to approximate the "human thinking" function, we would have to know that function well enough to give it examples and counterexamples. Currently we are only training LLMs to approximate the "human blabbing" function.
Imagine a human brain that has only read all what ANN has without any connection to the real world (no senses, mind you!). Would the output of this human being differ from "human blabbing"?
