That's irrelevant semantics, as terms like ideas, thinking, knowledge etc. are ill-defined. Sure, you can call it points in the hidden state space if you want, no problem. Fact is, the correctness is different from determinism, and the forest of what's happening inside doesn't come down to the trees of most likely tokens, which is well supported by research and very basic intuition if you ever tinkered with LLMs - they can easily express the same thing in a different manner if you tweak the autoregressive transport a bit by modifying its output distribution or ban some tokens.
There are a few models of what's happening inside that hold different predictive power, just like how physics has different formalisms for e.g. classical mechanics. You can probably use the same models for biological systems and entire organizations, collectives, and processes that exhibit learning/prediction/compression on a certain scale, regardless of the underlying architecture.
There are a few models of what's happening inside that hold different predictive power, just like how physics has different formalisms for e.g. classical mechanics. You can probably use the same models for biological systems and entire organizations, collectives, and processes that exhibit learning/prediction/compression on a certain scale, regardless of the underlying architecture.