The recent data breach involving Suno, an AI music generator, has shed light on its controversial training methods. Suno's AI models were trained on a vast amount of data scraped from various online platforms, including YouTube Music, Deezer, Genius, Pond5, Jamendo, Freesound, and the International Music Score Library Project (IMSLP). This revelation comes as no surprise, given Suno's history of lawsuits alleging the use of copyrighted materials. The breach also exposed customer data, including email addresses, phone numbers, and payment details, raising concerns about data privacy and security. Suno's response to the breach has been questioned, as they claim the incident involved outdated source code and no sensitive personal information was compromised, despite the exposure of customer data. This incident highlights the complex legal and ethical issues surrounding AI training data and the need for transparency and accountability in the industry.
