I can tell you didn't listen to the podcast. A lot of it is about how System I / production systems are very similar to simple one-pass LLM outputs, and how Reasoning models closely match System II

Which BTW has very little directly to do with the notion that minimizing surprise -- predicting the next thing -- is the basis of much neurology and psychology.

You are objecting to an objectively debatable, scientifically study-able thesis with ad-hominem, tribalism, end emotional groupthink.

I don't see a lot of critiques about the notion of production systems in LLMs being phenomenologically similar to those in humans, nor to any of the other reasons why this particular expert -- which I am not -- has the opinion that neural net cognition is usefully describable as akin -- "cousin to" -- human cognition.