- Some of Suno’s music-scraping tactics have been revealed
- Hacked code shows tracks were ripped from YouTube Music and Deezer
- The AI music maker is facing multiple lawsuits from artists
It’s unlikely to come as a surprise to you that an AI company built training data on copyrighted works without permission or compensation, but a new hack of AI music maker Suno has seemingly revealed just how egregious the data theft has been.
As reported by 404 Media, a hacker known as ellie.191 was able to access Suno source code and training libraries, finding references to platforms such as YouTube, YouTube Music, Deezer, Genius, and the International Music Score Library Project.
The newly revealed data dates from 2023 and 2024, and references 2,013,545 tracks being ripped from YouTube Music, as well as 12,287 hours of music being ingested from Deezer. We’re talking about decades’ worth of tunes here.
Some of Suno’s alleged ripping tactics are also revealed by the code: it seems its song grabber looks for acapella versions of tracks on YouTube for vocals training, while vast numbers of podcasts were also targeted by the software.
Lawsuits in the pipeline
Suno is already facing multiple ongoing lawsuits around the practice of training its AI on copyrighted songs without permission, including one filed with the participation of the Recording Industry Association of America (RIAA).
The argument is not whether or not Suno has ripped this music — it’s admitted to using “essentially all music files of reasonable quality that are accessible on the open internet” for AI training — but rather if it counts as ‘fair use’.
It’s a story that’s playing out across other creative fields as well, including writing, photography, and filmmaking. AI models need human-made content in order to work properly, but the AI companies generally don’t seem keen on paying for it.
Most commenters reacting online are expressing a lack of surprise that this is what Suno has been up to: one Redditor writes “this is literally what every LLM in existence has done”, while another calls the practice “staggering theft”.
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