[TimPC]

It's not terrible for an absolute beginner but it's fairly harmful overall. People tend to use this analogy a lot to conflate specific AI with general AI and argue for regulatory capture based on things completely outside of evidence. The real brain is sparsely connected and has multiple activation networks that reuse nodes. We also have the ability to train from single examples to things we've never seen before so it seems unlikely that our brain operates exclusively by derivatives on error or other data-fitting techniques. Humans still seem more unreasonably effective than deep learning on many tasks and this is despite having a harder problem (Humans have more tasks with unlabelled data as far as I can tell).