Compared with human writing, all nine frontier and near-frontier models use more inanimate subjects with animate verbs and more low-frequency n-grams, and most also use longer dependencies, more stacked nouns, and more reduced object relatives in conversation. [...] We propose and test a hypothesis as to why: while human language is optimized for successful communication, AI-generated text is increasingly optimized for other goals like math, code, and reasoning, in which there is a pressure for information density rather than successful communication.

AI does the same with responses where the cadence is some type of formula that becomes identifiable.

Each of the big models has their own but an example of the cadence is

A) Agreement or Acknowledgement with the User

B) Specific detail gets a paragraph of detail related to the previous response

C) Overview of the conversation's current state

D) Prompting or Direction for this conversation to go

E) Landing on a beat. Wrap up the vibe. Recap with a zinger.

I cannot unsee it and a few of the models are annoying. I have attempted to build out the Agents and context to avoid the 'last beat one liner' without success because after 2-3 more turns, I get "That challenge was accepted and you stepped up. You're the winner this round".