bambinella

My best tracks are extended in 10-20 second sections. And I carefully choose the prompt and what to keep and where to continue (crop), sometimes just a few seconds. So you can compose with these models, basically, you have to if you want to get something that isn't bland.

So overall, yes, anyone can, with some luck create a "radio friendly" track with music AI, but not everyone can create good art with it. You still need to understand music, and the more you know about genres and composers and how they fit together the more power you have to create musically interesting patterns.

Keep in mind that Sunauto has 3400 generic tags + an undisclosed amount of artist names. You need to understand what makes it possible to combine different Artists/Musicians and what could lead to something interesting.

So musical knowledge is still needed.

Let's not forget that extraordinary musical talent tends to be the result of MASSIVE exposure to music as a toddler. It isn't entirely a question of DNA or effort. They start by emulating what they hear, over time they might evolve their own style, or they may not. In other words, you are less likely to become an extraordinary musical talent if you weren't saturated with music before you started going to school. Nobody finds it problematic when a musical star is performing way beyond their age, even though he/she essentially is engaging in deliberate mimicry to a much larger extent than an AI usually would be.

Are you saying that it is wrong for a machine to learn? Even if it was, it is the massive amount it is based on that makes it less problematic, as that makes room for building abstracted knowledge.

What piracy?

Copyright does not cover ideas, generic patterns, timbres etc.

If you know music history then will know that classical composers borrowed heavily. Without it, we would still be at the stone age level.

I think you got this wrong. Usually you use one electronic musician to create all the background music (or license pre-existing popular music), and with music AI you make that musician more productive. It is not like non-musicians will even be able to select the bad from the good of the AI output. It takes a trained ear to build functional AI music as well.

Nobody will hire live studio musicians or a symphony orchestra to create background music. Way too expensive.

You mean like how real pianists suffered when the automated piano came, or how live music died when the record player came?

Actually, noise that sounds like music is some of the best music there is: electroacoustic music.

A lot better than most music on the radio. ;-)

Creating looping sections with Sunauto is generally not very difficult as the model is overly consistent when extending, so all you have to do is extend without changing the prompt and you should get a loop point.

If you have lyrics in your conditioning then you usually can use a [Chorus] section as your loop point as most music AI models render chorus section in away that affords crossfades. THAT ASSUMES that you keep the chorus sections with a gap less than about 60 seconds with 30 seconds exention as it can only see 90 seconds of the music track (or something in that range)

Well, I create and know a fair bit about the history of music technology. Self playing pianos, for instance, allowed composers to write pieces with new complexities that would be physically impossible to play. Drum machines opened up for new types of music in the 1980s that would have been very unnatural for a physical drummer. In general, innovations in music come as consequences of technological advances and you cannot predict in advance how composers/musicians utilize these tools. The same is true for folk and classical music. The tempered scale, piano, various types of viola-like folk instruments etc etc. AI-generators is just a new tool.

I have used Music AI for what you describe, by uploading a track I have made myself and use diffusion on it with various genres, although I don't think that is the most interesting use case for Music AI.

Fusion is the most interesting use case IMHO.