I think what's interesting is when these LLM return responses that we agree with, it's nothing special. It's only when they respond with what humans deem "uhhhh" that we point and discuss.
It makes you think a lot about how human talk. We can't just be probabilistically stringing together word tokens, we think in terms of meaning, right? Maybe?
We are probabalistically stringing together muscle movements that generate language as sound. That's not really controversial, otherwise we would call it magic. However, the complexity of our probabalistic word machine is far greater, in terms of both richness of inputs, motivation, and dimensionality.
If thought (as expressed in language) is just probabilistic pattern matching, then how did we develop our own training data from scratch?
Human words are one fork of the sound wave based communication systems that many animals on earth use. There was no distinct moment when we went from 0 to 1 words. There was no "first person to speak". We didn't make language. It emerged over time due to evolutionary pressures.