What's unfortunate is that there aren't enough people pushing LLMs to assist in writing in creative ways that really involve messing with the model.
I'm a huge William S. Burroughs fan, and, for those unfamiliar, he and a few others invented an algorithmic technique, the "Cut-up technique" [0], to basically remix their writing. It's a major part of the reason that much of Burroughs' work as a magically confusing aspect to it.
"Prompt and pasting" from LLMs is dull, but awhile back I was experimenting with token-explorer [1] to see what would happen if I started with a prompt and explored the "high-entropy" states of the LLM. By controlling the sample path to stay in a high-entropy state you start getting very different types of responses that feel like nothing that normally comes from an LLM. You could argue it's a form of "statistical automatic writing" [2]
There is tremendous potential for genuinely interesting writing to be created with an LLM but it's going to require popping open the box and playing around. In the Stable Diffusion world there's lots of people trying all sorts of odd experiments to create things and, while not the mainstay of generative AI images, they are able to create really interesting things.
I would love to see more people ripping open local LLMs and seeing just what the real posibilities are.
0. https://en.wikipedia.org/wiki/Cut-up_technique
I have a set of "chord dice" that you roll and then write a song around those chords.
I have a set of "story telling dice" that you toss and use the result as a writing prompt.
High entropy has existed in other forms (as you point out) before LLMs.
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Aleatoric music is mostly just "neat". I've never encountered any of it that is interesting or moving, with the exception of situations in which it is very carefully integrated as one small element of a composition. That includes the likes of Xenakis, who I think writes music whose main form of enjoyment is reading how it was composed. After doing that, listening is an unnecessary and often off putting step.