The state of things seems to be that we've made really good progress with deep learning/neural networks/MLPs with the result that there's impressive fuzzy pattern recognition based on supervised learning. Which is great and has a lot of practical value but it's just one set of related techniques.

Cognitive science, on the other hand, has arguably not made a lot of great progress. We don't really understand how we learn. We don't really understand how language works. Etc. But arguably a lot of this sort of thing needs to be part of "AI" to get beyond problems that are amenable to pattern recognition.