So over the last several months, I've been looking at all of these AI generated music services. Suno, Udio, and now the new one from Eleven. As someone who generally has a pretty positive outlook on machine learning/AI, I think these tools are really interesting and a great way to help people who don't have any musical ability make personalized tracks. However, I take issue with how these systems are trained. It's pretty much been confirmed that Udio is trained on vast amounts of copyrighted material, very likely without consent considering how new the company is. With Suno it's hard for me to tell, but others have theorized that there's copyrighted stuff in there as well. These companies are telling you that you are allowed to use whatever you generate for commercial purposes, but I fail to see how they have the right to do so. I wonder if artists are even aware that their songs could potentially be included in these models, and honestly just the whole ethos of these companies is disgusting. What gives them the right to scrape massive amounts of copyrighted material these people spent a crazy amount of time on, just to dump it into a model that can generate whatever you want based on a simple text prompt? Let me be clear that I have no problem with the Technology itself, I think it's really cool, but the only reason it's able to sound as good as it does is because they are training it on a lot of music that they don't have the rights for. Take a look at Stable Audio if you want to see whats possible with just licensed royalty-free tracks, spoiler it's nowhere near as good. Some of that could of course be due to the architecture, but more likely it's the data they had access to while training. I wonder what Eleven used to train their models, but considering how clean the results are, I suspect they got custom multi-tracks from whoever they decided to work with. I'm personally far more excited about what Apple is doing in this space with the new session players in the upcoming Logic updates, and I hope this will be the path forward rather than massive audio generation models trained on unlicensed material.