licensing

Suno unveiled its v6 model family, trained on licensed data from Warner Music Group, BMG, and Believe, as the AI music startup continues fighting copyright lawsuits from Sony, Universal Music Group, and individual artists. The company plans to retire its older, non-licensed models entirely.

The open model ecosystem is diversifying beyond its previous Chinese dominance, with companies like NVIDIA, Cohere, Poolside, and Zyphra releasing models under permissive licenses. NVIDIA's 550B parameter Nemotron-3-Ultra uses LatentMoE architecture and switches to the OpenMDW license, while Cohere released Command A+ as a 218B-A25B MoE under Apache 2.0.

ElevenLabs released Music v2, an AI music generation model that can switch genres within a single track and build songs section-by-section. The model, trained on licensed data cleared for commercial use, can transition from opera to heavy metal, handle fast rap, and add sound effects while maintaining coherence.

Google's Gemma 4 release marks a shift in open model strategy with Apache 2.0 licensing and competitive benchmarks, but real success depends on factors rarely measured: tooling stability, fine-tuning ease, and ecosystem adoption. The open model landscape is now crowded with alternatives like Qwen 3.5, Nemotron 3, and others—a maturation that changes what separates winners from the field.

Meta has committed to paying News Corp up to $50 million annually in a multi-year agreement for AI training data and content licensing. The deal represents Meta's continued strategy of securing high-quality publishing content for its AI models. The arrangement raises questions about the sustainability of individual content licensing deals versus industry-wide data standards.