this post was submitted on 17 Jul 2023
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While I recognize the AI art is quite obviously derivative and considering that ML pattern matching requires much more input, there's argument that it's more derivative, I really struggle to grasp how humans learning to be creative aren't doing exactly the same thing and what makes that ok (except of course that's ok).
Maybe it's just less obvious and auditable?
It's not being creative. It's generating a statistically likely facsimile with a seperate set of input parameters. It's sampling, but keeping the same pattern of beats even if the order of the notes changes.
Though, at what point does sampling become coherentism from philosophy? In the end, whether an AI performs "coherently" is all that matters. I think we are amazed now at ChatGPT because of the quality LLM from 2021 but that value will degrade or become less "coherent" over time, i.e. model collapse.