The speaker considers current machine-learning architectures inferior to the human brain in several respects, including communication between their components.

“But it's also worth noting that the sort of architecture of the models themselves are much worse in a bunch of ways than the human brain.”

“In particular,”

“like it's harder for it's harder for different parts of the ML model to talk to each other than it is for different parts of the brain to talk to each other.”