Suno Hack Shows How YouTube Music, Deezer and Genius Data Trained AI Music Generator’s Models
Suno has long acknowledged that its AI music generator relied on the scraping of millions of songs available across the internet, but a new hack reveals just how the company pulled from streaming services and websites such as YouTube Music, Deezer and Genius to power its product
The recent hack revealing Suno's use of scraped data from YouTube Music, Deezer, and Genius to train its AI music generator models has significant implications for the music industry. This move by Suno, while not entirely surprising given the company's previous acknowledgments of scraping millions of songs, raises important questions about data usage, ownership, and the ethics of AI development in music.
The use of scraped data from popular streaming services and lyrics websites like Genius to train AI models highlights the complex relationships between data, creativity, and technology in the music industry. As AI-generated music becomes increasingly prevalent, the source and legitimacy of the data used to train these models will come under greater scrutiny. This incident may prompt a reevaluation of how data is collected, used, and compensated in the music industry, particularly as AI-generated content becomes more integrated into streaming platforms.
What's next to watch is how this revelation affects Suno's business and the broader AI music generation landscape. Will Suno face backlash or lawsuits from the companies whose data was scraped, or from artists whose work was used without permission? How will this impact the development of similar AI music generators, and what measures will be taken to ensure that data usage is transparent and fair? As AI-generated music continues to evolve, these questions will be at the forefront of industry discussions.
Originally reported by variety.com. MusicNewsletter adds analysis for culture, style & media readers.