And you create music without ever having heard music before? Or are you also extracting other artist’s work and using it as inspiration for what you do?
AI music is the same as AI code. It’s derived from real code, but it’s not just regurgitated wholesale. You still as a person with taste have to guide it and provide inputs.
Electronic music made it so you didn’t have to learn to play an instrument. Auto tune made it so you didn’t have to learn how to sing on key. There are many innovations in music over time that make it easier and less gatekeepy to make music.
We are just moving from making music as a rote activity similar to code, to making music like a composer in much the way that you can create software without writing code. It’s moving things up a level. It’s how the steady march of innovation happens.
It won’t work to put the genie back in the bottle, now it’s to find what you love about it and makes it worth it for you and to focus on that part. Banning the new types of art is only going to last as long as it takes for people to get over their initial shock of it and for good products to start being produced with it.
>And you create music without ever having heard music before? Or are you also extracting other artist’s work and using it as inspiration for what you do?
Personally, I don't buy this "AI models are learning just like we do." It's an appeal to ignorance. Just because we don't fully understand how a human brain learns, one can't claim it's the same as a statistical model of ordered tokens.
But even if it were true, I'm alright with drawing a line between AI learning and human learning. The law and social conventions are for humans. I want the ability to learn from others and produce original works that show influences. If this right is allowed to all humans, there is a chance one learn from and outperform me. That would suck for me, but I can accept it because it came from a universal human right I also enjoy. But an AI model doesn't have human rights. For models, the law and social conventions should still favor humans. The impact on the creative community and future creative endeavors should be balanced against the people who create and use the models.
I don't know how to do that with LLMs in a way that doesn't prevent the development of these amazing models. Maybe the government should distribute a portion of the revenue generated by the models amongst all citizens, to reflect how each model's value came from the written works of those citizens.
>We are just moving from making music as a rote activity similar to code
From this statement, I doubt you've written any music worth listening to, or any code that's not trivial.
Don't confuse music with muzak. What you get from an "AI" is muzak. It will never, ever have the same depth, warmth, or meaning as a human translating human emotions and experience into music and lyrics.
> Electronic music made it so you didn’t have to learn to play an instrument. Auto tune made it so you didn’t have to learn how to sing on key.
Neither of those things are really true, though. They made it possible to make poor music without learning those things, I suppose, but not make good music.
> Banning the new types of art
Nobody is seriously talking about banning AI generated music. What you're seeing is a platform deciding that AI generated music isn't something that platform is into. There are a lot of different platforms out there.
> AI music is the same as AI code. It’s derived from real code, but it’s not just regurgitated wholesale. You still as a person with taste have to guide it and provide inputs.
I guess the difference is proprietary code is mostly not used for training. It's going to be trained on code in the public. It's the inverse for music, where it's being trained on commercial work, not work that has been licensed freely.
Humans are humans, computer programs aren't. A computer program learning doesn't matter, and it's not comparable to human learning. I have no empathy, sympathy or any sort of allegiance to computer programs.
I would imagine the vast majority of other humans agree with me. I'm not just gonna betray humankind because some 1s and 0s "learned" how to write music. Who cares, it's silicon.
> AI music is the same as AI code. It’s derived from real code, but it’s not just regurgitated wholesale. You still as a person with taste have to guide it and provide inputs.
Not necessarily apples-to-apples here. Full songs generated from AI prompts don't crash like a computer program would. You could simply upload the garbage to Spotify and reap the rewards until it got removed (if it even does).
> And you create music without ever having heard music before? Or are you also extracting other artist’s work and using it as inspiration for what you do?
For me, one key difference is that I can cite my stylistic influences and things I tried, while (to my knowledge) commercial musical generation models specifically avoid doing that, and most don't provide chord/lead sheets either -- I would find it genuinely sad to talk to a musician about their arrangement/composition choices, only to find they couldn't
> less gatekeepy to make music
Is "gatekeepy" how we're referring to skill now? "Man I'd like to make a top-quality cabinet for my kitchen, lame how those skilled carpenters are gatekeeping that shit smh"
> And you create music without ever having heard music before? Or are you also extracting other artist’s work and using it as inspiration for what you do?
But the parent poster is, presumably, human! Humans have the right to take inspiration like that from other humans (or machines)! Why do we seem so keen on granting machines the right to take from us? Are we not supposed to be their masters?
> Electronic music made it so you didn’t have to learn to play an instrument.
This is cliche. Most celebrated artists in the electronic music world can play several instruments, if not expertly, than at least with enough familiarity to understand the nuances of musical performance.
Electronic musicians are more akin to composers and probably have more in common with mathematicians and programmers in the way that they practice their craft, whereas musical performers probably have more in common with athletes in the way that they practice their craft.