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Comment by bulbosaur123 | Hacker News Reader

I'm absolutely flabbergasted by rapid progression of music related machine learning models. I've always seen music as the "final frontier". With images you can have tiny errors and noise that isn't that noticeable by the human eye, but with music everything has to be impeccable and if a note is slightly off, you instantly hear it. Machine learning models that will be able to create outstanding music, imo, will mark the end-game of creative AI.

Anyone want to share their experiments with MusicLM, feel free to join community-fan discord and subreddit:

https://reddit.com/r/MusicLM/

https://discord.gg/pjVcsyfCJR

BTW, I really hope this gets integrated in software like Ableton similarly how image generators get slowly integrated into Adobe Creative Suite.

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> Anyone want to share their experiments with MusicLM, feel free to join

How can we experiment with MusicLM?

The paper’s last sentence says, “We have no plans to release models at this point.”

Makes you wonder if they even read one sentence of the paper before creating a Discord & Reddit community on throw-away accounts, just to be first and make sure that they'll control a new AI model's community :)

But, I guess, one way to make money currently.

> if a note is slightly off, you instantly hear it

I don't know about this. I know professional musicians and they say that they make little mistakes all the time, but part of being a professional is being able to pretend those mistakes didn't exist because the audience doesn't know what it's supposed to sound like.

> but part of being a professional is being able to pretend those mistakes didn't exist because the audience doesn't know what it's supposed to sound like.

Very true, however it's something musicians have to specifically train for, because to a trained ear they can become painfully obvious and it's tempting for the musician to (at least) cringe in a way that the audience will detect. Musicians in the audience, though, can often tell when you flub a note, regardless of how you play it off. That's really the bar we are looking to meet.

The fact that mistakes in music are so obvious comes down the the fact that underneath music is a lot of structure and pattern. That there can be a ‘wrong’ note implies that there is redundancy in the signal and predicting the right next sound is precisely the kind of thing these sorts of generative AIs excel at.

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