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> for example by learning also loop and sample arrangements instead of only the waveforms

This is what I mean - its not about the loop and sample arrangements.

I've been doing exactly that since the 90s and I've made some great twisted computer generated stuff. Logical or predictable methods will always result in logical and predictable music. Its all about setting up code environments so that you can generate accidents and mutations and capture them. Its all about reacting and capturing it and putting it on wax (historically speaking).

But that doesn't mean that a computer can understand why or even recommend what is amazing. We humans don't even know why some things are so great. A major thrill is finding some sound that is so twisted (ill, stoopid, sick) and totally bypasses the rational mind, shuts your thinking down and you get a big smile and start jumping up and down acting like an idiot.

Then somebody else copies your track, then it becomes a style, then it becomes a cliche, then beatport is filled up with boring copie, then it becomes a sample set that people can buy, then somebody makes an app that can auto-generate that style and then they claim that computers are making music.

But they are just playing it back, just like tall the human copycats further upstream.

And the entire network of software, creators, audience and cultural is what we call music.

> This development might be scary because it possibly replaces human creativity to a large extent, but you can't stop it by claiming that it's impossible or that it will always be poor quality.

That's what I've spent a lot of my life engaged in. It often makes great music, but the machine cannot understand why. You'll need strong AI for that and it will need to have tensions, depressions, a body, chemical feelings, sex drive, longing and a strong psychological need to be lost in song. Then it could say "David, I think I've found a song you might like."




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