Just wait until the rush of commenters that insist you’re wrong about being offended that they want to automate and commodify every aspect of your life.
Made this point elsewhere, but the music industry has been on a downward slide towards making music as cheaply as possible for some time now.
If you look at Taylor Swift's first 12 number one hits, each of them was written by a different writer. Compare that to bands from 30 years ago, many of whom wrote and recorded all the songs themselves.
Labels don't sign rock bands anymore because actually recording a rock band well in a studio is 10x the cost of just using a sampler and a single artist singing. I know folks want to blame AI, but it's really just enabling the latest iteration of this trend.
I'm not defending the whole thing. It's a shame, and I love going back and listening to my old Rush albums. But AI is not the problem here. It's the incentives.
Machine-learning for audio is just a different form of audio synthesis.
That is not the issue. The issue is how incredibly generic the music is.
It also doesn't let you combine genres to make really strange sounds like audioLM can do.
This is just another Muzak generator like they use to play at Dennys. As generic music as possible to the appeal to the most average of average listener.
I think you really need to train your own model if you want to explore creative sound design or algorithmic composition. It just isn't going to be a mass market product worth venture capital money.
rpdillon|6 months ago
If you look at Taylor Swift's first 12 number one hits, each of them was written by a different writer. Compare that to bands from 30 years ago, many of whom wrote and recorded all the songs themselves.
Labels don't sign rock bands anymore because actually recording a rock band well in a studio is 10x the cost of just using a sampler and a single artist singing. I know folks want to blame AI, but it's really just enabling the latest iteration of this trend.
I'm not defending the whole thing. It's a shame, and I love going back and listening to my old Rush albums. But AI is not the problem here. It's the incentives.
lmpdev|6 months ago
Any decent studio can make a U87 on vocals, DI bass, Fender amp and several SM57s on drums sound as good as almost any album from 1970-2010
Hell I’ve seen a five part band get away with three mics total including drums and it was a smash hit
Rock “died” because culture moved on, not because of it being inherently expensive to record (which it’s not)
satyrun|6 months ago
All kinds of indie, all kinds of metal, all kinds of rock, all kinds of everything.
The main difference is no MTV or rock radio. Prog rock? There is probably more prog being made now than ever.
Q6T46nT668w6i3m|6 months ago
satyrun|6 months ago
That is not the issue. The issue is how incredibly generic the music is.
It also doesn't let you combine genres to make really strange sounds like audioLM can do.
This is just another Muzak generator like they use to play at Dennys. As generic music as possible to the appeal to the most average of average listener.
I think you really need to train your own model if you want to explore creative sound design or algorithmic composition. It just isn't going to be a mass market product worth venture capital money.