Suno admits scraping YouTube audio for AI training in court filing
This digest was compiled by AI from multiple sources — links to the originals are below.
AI music startup Suno admitted in a court filing that it used audio obtained from YouTube as training data. The admission came in response to a copyright lawsuit filed by major record labels. Suno said it downloaded the audio using the open-source tool YT-DLP.
Key Facts
- Suno admitted in a court filing that it obtained audio data from YouTube for use as training data using YT-DLP.
- The admission is part of Suno's response to a copyright lawsuit filed by major record labels.
- Suno previously acknowledged training its models on publicly available music but had not explicitly confirmed scraping YouTube audio.
The Court Filing
Suno's filing states that audio data was obtained from YouTube for use as training data using YT-DLP. The filing was submitted in response to a lawsuit brought by major record labels alleging copyright infringement. Suno had previously admitted to training its models on publicly available music, but this is the first explicit confirmation of YouTube scraping.
Background and Context
A hack of Suno's data in July had already suggested the company used YouTube audio for training. The open-source tool YT-DLP is commonly used to download audio and video from YouTube and other platforms. The lawsuit is part of a broader legal battle over whether AI companies can use copyrighted material to train generative models.
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