The Suno hack has exposed millions of scraped YouTube Music and Deezer tracks used to train the company’s AI music generator, offering an unusually clear look at how a major AI platform built its dataset. The leaked source code shows large‑scale audio harvesting, intensifying ongoing lawsuits and industry backlash over copyright, transparency, and artist consent. The breach also highlights broader concerns raised by artists like SZA and Kenneth Blume, who fear even unreleased recordings may have been swept into AI training systems. As legal pressure mounts, the leak is likely to fuel long‑running debates about creative rights and AI‑driven music.
by rrollins
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