Suno just published a set of AI music principles and announced new guardrails to fight fraud across the music ecosystem. The company is rolling out tamper-resistant audio watermarking and fingerprinting to help platforms spot AI-generated songs, alongside an upcoming downloads policy aimed at curtailing mass streaming uploads.
Stability AI just dropped the research paper behind Stable Audio Open, detailing the architecture of its open-weights text-to-audio model. Trained on nearly 500,000 Creative Commons recordings, the model synthesizes up to 47 seconds of 44.1kHz stereo sound and foley effects directly on consumer GPUs. The weights are live on Hugging Face for non-commercial use and eligible small businesses.
Stable Audio just released Stable Audio 2.0, upgrading its model to produce full, structured musical tracks up to three minutes long at 44.1kHz stereo. The update introduces audio-to-audio generation, letting users transform uploaded audio clips via natural language prompts while adopting a diffusion transformer architecture. Why it matters: AI music is moving beyond brief, generic loops into structured songs with full intros and outros.
