Hack suggests AI music generator Suno scraped YouTube for training data
AI music generator Suno was reportedly breached, exposing internal source code that suggests the company scraped copyrighted audio from platforms like YouTube and Deezer. The breach also compromised sensitive customer data, though Suno characterized the incident as limited and contained.
Why it matters
This incident highlights the growing legal and security risks surrounding AI training data practices and the ongoing tension between generative AI companies and copyright holders.
The AI music generator Suno was hacked, according to a report from 404 Media .
The hacker told the publication that they used a supply chain attack to access an employee’s credentials, allowing them to then access source code showing how Suno allegedly scraped decades of audio from YouTube Music, Deezer, Genius, stock music libraries, and podcast RSS feeds.
Suno previously admitted that it trains its AI on “publicly available music files” on the open internet, arguing that it can train on copyrighted material under the fair use doctrine, a subjective carve out of copyright law. But according to the major record labels actively suing Suno, it is illegal under the Digital Millennium Copyright Act (DMCA) to deliberately circumvent YouTube’s protections against data scraping; it also violates YouTube’s terms of service.
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