Interesting. I agree that it seems that LLMs are wont to fall into recognisable patterns much more readily than humans however I asked a model to evaluate your comment history and it found loads of patterns such as:

“I’m not sure…” / “I don’t…” hedges before disagreement Negation followed by correction/reframing is a recurring structure: essentially “It’s not X, it’s Y”.

And dozens of other examples. I wonder if LLMs really are more liable for it or if it simply seems that way purely because when you use a model it's almost as if you're speaking to the same "person". I think that human language is naturally formed by common agreed meanings of words first, and then phrases.