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by code_for_monkey
474 days ago
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The problem with AI music, and in fact AI in general, is that weve spent the last few decades aggressively attacking the idea that art should get paid for at all and yet people still do it, because they love it. So musicians work for pennies, and yet people still need to replace them with a machine. So even if you just pay someone else to make you a song, its not really any more expensive than this. Same with painting. What does this AI bring to the table, at all? It grosses me out. People on this site should go pick up a guitar and write a 3 chord song about someone, itll take you a day if that. Its not hard! Its fun! |
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When this critical number is not amassed then the genre effectively dies.
With A.I. we can resurrect dead genres, but not only that, we can combine genres together, popular genres with one another, also popular and unpopular genres or popular and dead genres.
Using A.I. for music is easier and much faster than traditional means, and this could greatly reduce the critical mass of musicians to support a genre. It could be reduced as much as 10 times, or 100 times, like one person creating 10000 songs or something similar.
By trying to compare A.I. music to traditional music, you are comparing 10 songs a real band makes, with 10000 songs an A.I. (human) musician makes. It's apples and oranges comparison.
I don't see why human music cannot be a genre, the best of all genres but just one, and an innumerable amount of A.I. genres which may not be so good, but they are infinite.
The real human music genre might be the best forever or just for the next 3 years, but so what? Let there be more genres some good some bad. No one is gonna listen to a cheap copy of an already existing song of an already existing genre, but songs already in existence should be used to train A.I. weights.
Regarding A.I. weights, smaller models forget much of the information they are trained on, and they are cheaper, faster and easier to be fine-tuned, also probably easier to apply RL reasoning on. In that way, A.I. musicians (or real musicians) could run the model in their computers and use it as an instrument instead of relying in companies with big models, slow and expensive.
And some times big and inefficient models copy text/code/music verbatim from the training data. But this is a bug, when small models become competitive enough, most people are gonna use those. They might even carry them around, like a personal band always ready to make melodies for them.