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Suno launches new AI music models trained on licensed music data

AI music model maker Suno has unveiled a new model family, Suno v6, which it states was developed using licensed data from music labels and distributors. This launch follows multiple lawsuits against the company regarding the use of copyrighted material.

  • Suno v6 models were developed using licensed data from partners including Warner Music Group, BMG, and Believe.
  • The company is releasing three versions: Suno v6, Suno v6-wild, and Suno v6-mini.
  • Suno plans to add features like remixing songs, provided artists opt into a new program.

AI music model maker Suno announced on Wednesday its new model family, Suno v6. The company states these models were developed using licensed data from music labels and distributors, including Warner Music Group, BMG, and Believe.

Suno has faced several lawsuits from record labels alleging the use of copyrighted data to train its AI models. The company settled with Warner Music Group last year and BMG last month, but still faces lawsuits from entities such as Sony and Universal Music Group.

Three versions of the model are being released: the base Suno v6 model for paying users, the experimental Suno v6-wild for paying users, and the faster Suno v6-mini for all users. Suno plans to retire its older models. The new lineup reportedly offers greater flexibility, allowing users to edit parts of a song using prompts, or create tracks from text, images, or video references.

Suno also intends to introduce new features, such as enabling users to remix songs. This will be contingent on artists opting into a new program being established with music labels.

Why this matters: The introduction of AI music models trained on licensed data could impact how music is created and monetised, potentially creating new revenue streams for rights holders and artists.

What this means for you: If you are a paying user of Suno, you will have access to the new Suno v6 and Suno v6-wild models. All users will have access to Suno v6-mini.

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