His point is that lots of AI folks are framing intelligence incorrectly by overvaluing surface knowledge or ability to be trained to solve constrained problems,

His point is that lots of AI folks are framing intelligence incorrectly by overvaluing surface knowledge or ability to be trained to solve constrained problems, when cats have deeper cognitive abilities like planning and rich spatial reasoning which are far beyond the reach of any AI in 2024. ANNs are extremely useful tools because they can process all sorts of information humans find useful: unlike animals or humans, ANNs don't have their own will, don't get bored or frustrated, and can focus on whatever you point them at. But in terms of core cognitive abilities - not surface knowledge, not impressive tricks, and certainly not LLM benchmarks - it is hard to say ANNs are smarter than a spider. (In fact they seem dumber than jumping spiders, which are able to form novel navigational plans in completely unfamiliar manmade environments. Even web-spinning spiders have no trouble spinning their webs in cluttered garages or pantries; would a transformer ANN be able to do that if it was trained on bushes and trees?)