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If you understand what makes music good with a sufficient level of clarity, you can express it in rules form, and seek to algorithmically maximize this greatness factor.
As usual with AI, this requires first understanding the subject matter by yourself, instead of blindly throwing a large dataset at a large model -- an approach which could only ever achieve local interpolation. Find the model, don't just fit a curve.
"And the damsel was very fair to look upon, a virgin, neither had any man known her" Genesis 24:16 This sentence is the cornerstone of Talmudic logic and early Christianity logic. I think it will be impossible to develop automated associative reasoning that will infer this
I dunno, man, I think the problem kinda looks like the AI issue for Go/baduk. which is getting more "solved" as time goes on. Granted, this is more of moving target, but it kinda checks out?
True. The timescales of coherence are increasing, though. SOTA neural music generation can write a few seconds of a good song. GPT-3 can write a whole page of a good book. Both fail hard past their effective time horizon, but are improvements over older models.
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