A hacker who breached Suno reportedly revealed source code and training-library details showing the AI music generator scraped millions of songs and lyrics from sources including YouTube Music, Deezer, Genius, Pond5, Jamendo, Freesound, and podcast RSS feeds. "The hacked data is a rare look at exactly how AI models and tools are built," reports 404 Media. "Suno is one of the largest AI music generation tools on the internet, and has been the subject of several major lawsuits from the record industry, which accused the company of training on millions of copyrighted songs." Suno maintains that its models were trained on publicly available music files and metadata as fair use. 404 Media reports: The Recording Industry Association of America accused Suno of ripping songs directly from YouTube; the hacked data seen by 404 Media confirms this. The hacked material includes source code that appears to be from 2023 and 2024 that includes scraping instructions and details about the scope of at least some of the scraping. For example, the comments in one file note that they will pull from "genius_hq, youtube_music, freesound, jamendo, imp, deezer, ytm_tagged," and that "non-music will be filtered out." A file called "youtube_music" notes that at the time the file was last updated, it had ingested "2,013,545 music clips." Another file contains comments about different datasets Suno had created, which included "113,879 hours of youtube_music," "17,615 hours of genius_hq," "410 hours of free sound," "19,514 hours of imslp," "3,726 hours of jamendo," "62,117 hours of pond5_music," "12,287 hours of deezer," "152,162 hours of ytm_tagged," and "103 hours of musescore_lyrics." In total, this is at least decades worth of music....
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