It could be the mill intuition, but my thought is nothing along the lines of "computers can't have souls!" or the human mind is supernatural or anything of the

It could be the mill intuition, but my thought is nothing along the lines of "computers can't have souls!" or the human mind is supernatural or anything of the sort. It's gaps in actual thinking or intelligence I notice. A diff between what I can see or understand and what the model sees or understands. Some are very big, and this in spite of the models having much more knowledge and (presumably) less error prone processing. My thought is that part of it has to do with inherent limitations of using symbolic representation for "thinking" and I suppose humans have other forms of thinking that occur outside of symbolic representation, and that is going to be hard to recreate digitally. This is my whole point and I'm not trying to win a debate here or prove "LLMs are useless". Just speculating.