Yeah, the end paragraph about recurrent neurons in humans being replaced with layers in an LLM is a good one.

The mammalian brain uses recurrence extensively, which backpropagation isn't good at. Recurrence is essential because it lets us have a "dynamic architecture", swapping layers for "clock cycles".

We currently do recurrence extremely inefficiently through "thinking" whereby the model feeds it's end output into it's beginning input. But recurrence is abound in the brain.

My guess is that in 10 years we will have the inklings of an analog computer which can perform Neural Predictive Coding.