Sony Music and Warner Chappell are suing Anthropic — The Verge AI

Sony Music Publishing and Warner Chappell filed suit in the US District Court for the Northern District of California, alleging Anthropic conducted “one of the largest and most blatant ongoing thefts of intellectual property in history” by illegally torrenting, scraping, and downloading tens of thousands of copyrighted song lyrics to train Claude. The publishers are seeking up to $150,000 per infringed work and $25,000 for each instance of stripped copyright management information — potential exposure running into the billions. This action arrives on top of a landmark $1.5 billion Bartz judgment and a separate $3B+ suit from Concord and Universal Music Group, making Anthropic the focal point of the music industry’s most aggressive legal campaign against an AI lab.

Sony Music, Warner sue Anthropic, alleging a “brazen campaign” of intellectual property theft — TechCrunch AI

TechCrunch’s reporting on the joint lawsuit zeroes in on the piracy angle: the complaint specifically accuses Anthropic of torrenting millions of book copies — many containing lyrics and sheet music — rather than relying on fair-use arguments that have featured in other AI copyright cases. The unusually broad scope of the complaint, covering tens of thousands of works, sets this apart from narrower prior actions and raises the stakes for how courts will define permissible AI training data acquisition.

Musicians-turned-detectives are hunting for AI grifters — The Verge AI As generative audio tools grow more capable and deceptive, a community of musicians has begun developing forensic techniques to expose creators who deny using AI — part of a broader cultural push to hold the AI music ecosystem accountable.

🏗️ Infrastructure & Chips

Nvidia’s AI advantage is moving beyond the GPU — TechCrunch AI

Nvidia’s next-generation data center architecture shifts emphasis from raw processor cycles to smarter traffic control and system-level efficiency, indicating the company is extending its competitive moat from chip design into full-stack data center orchestration. The strategy makes it harder for rivals to compete by targeting any single component, and positions Nvidia to capture more of the economics of AI infrastructure build-out even as GPU commoditization pressure grows.

💰 Venture & Biotech AI

“We’re not doing 30 bets a year”: Vijay Pande on betting small after running $4 billion at a16z — TechCrunch AI

Vijay Pande left a16z’s roughly $4 billion biotech practice to start VZVC, a smaller AI-native fund that makes concentrated, high-conviction bets. He argues biology is shifting from a “discovery” science to an “engineering” one, and that open shared datasets — not proprietary walled gardens — are the real key to AI transforming medicine, while cautioning that clinical trials remain brutally expensive regardless of AI’s analytical gains.

🌍 Policy & Governance

At TechBBQ, Europe’s AI conversations kept coming back to: Who’s actually in control? — TechCrunch Venture Nordic and European investors, founders, and operators at the annual TechBBQ conference kept returning to questions of human agency and accountability as AI systems take on increasingly autonomous roles — a tension that underscores the EU’s distinctive regulatory instincts relative to the US.


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