Photo credit: Anna Pou
The generative AI music platform Suno is currently involved in a high-stakes legal battle with major music labels, as it fights to keep the specific number of tracks used to train its models a secret. Labels like Universal Music and Sony Music are advocating for transparency regarding the training data, while Suno contends that disclosing the total volume of audio files used would reveal confidential business information.
Despite this pressure, Suno’s co-founder and CTO, Georg Kucsko, has submitted declarations stating that rival AI developers could leverage such data to enhance their own systems in comparison to Suno’s established models. The company argues that this figure is a crucial aspect of its technology, and sharing it would allow competitors to unfairly benchmark and replicate its development process.
The outcome of this issue is still pending, as the industry closely watches how the court balances corporate secrecy with public interest. This case is part of a broader trend in AI-related litigation, with similar confidentiality concerns surrounding other startups like Udio.
