That it is usual doesn't mean it's false.

Everyone I talked to, knowledgeable in machine learning and/or deep learning, who had no reason to pretend of course, agreed an LLM is a stochastic machines. That it is couples with very good other NLP techniques doesn't change that.

It is why even the best models today miss the shot by a large margin, then hit a decent match. Again back to the creative issue. If it was done before, a good input and a well trained model on good data will output good data likely to match with the best (matching) answer ever produced. Some NLP to make it sound unique is not equal to creativity.