We are capable of much more, which is why we can perform tasks when no prior pattern or example has been provided.

We can understand concepts from the rules. LLMs must train on millions of examples. A human can play a game of chess from reading the instruction manual without ever witnessing a single game. This is distinctly different than pattern matching AI.

Not, generally, it turns out ... we build semantic world models, among other non-probabilistic mechanisms.

Citation needed.