[TeMPOraL]

Slight jitter + strong and complex selection functions, like "is it useful?", "is it more useful than what came before?", "is it appreciated by the audience?", etc.

The creative generation part - adding some randomness to the process - is trivial with machines. Much easier than with humans adults, who often have to learn to allow more randomness and in their thinking/feeling, in order to make some creative work. But the selection functions are deeply social, which is something we're instinctively good at, and had little luck teaching the machines so far.

Well, with the possible exception of GPT-4, which may have learned just enough about what humans like, that it could do a passing job at discriminating art/innovation from noise. I say may - it feels possible, but we won't know until someone properly tests for it.

[vidarh]

> Well, with the possible exception of GPT-4, which may have learned just enough about what humans like, that it could do a passing job at discriminating art/innovation from noise. I say may - it feels possible, but we won't know until someone properly tests for it.

I've tried giving GPT4 some axes to rank writing on, and feed it some paragraphs. It's not perfect at it, but it's a far better critic than writer.

E.g. a while back I had it write something "in the style of Douglas Adams" and then had it critique it in another chat, and it recognised the imitation and proceeded to quite harshly judge its own writing for being flat and lacking direction and purpose. It was quite entertaining (more so than its superficially amusing Douglas Adams imitation).