Genuine question, not trying to be difficult: how much have you worked with training/finetuning generative models? In my experience, models frequently converge to a semi-arbitrary style. I wouldn't be surprised if some of the quirks we see in recent gen AI models are artifacts of a particular training run or amplification of unintentional dataset bias, rather than artifacts of an architecture or human guidance.