Publishers sue Google over AI copyright infringement
Major publishers including Hatchette and Elsevier have filed lawsuits against Google, alleging the tech giant used their copyrighted works without permission to train its AI models. This marks a significant escalation in the ongoing legal battle between content creators and AI companies over data sourcing practices. The cases could set important precedents for how AI firms can use copyrighted material during training.
Bank of England Governor calls for international cooperation to address AI threats, while China develops an AI safety benchmark targeting large model risks such as data leaks and hallucinations. DeepMind CEO Demis Hassabis proposes an independent standards body to regulate frontier AI. The convergence of voices from central banking, industry, and government signals growing momentum toward formalized global AI governance frameworks.
A Shanghai-based startup reveals an aggressive AI chip roadmap using redesign and 3D memory stacking to bypass US sanctions blocking advanced lithography access. Meanwhile, the US grants Chinese telecom giant ZTE permission to purchase Nvidia H200 AI chips. Nvidia has also slashed its authorized customer list in Asia to combat AI chip smuggling, reflecting the intensifying battle over semiconductor supply chains.
Chinese AI giants and startups are preparing for the agentic web era, embedding AI agents as the primary interface to digital services. New labs Yoolee and InfiX.ai aim to rival US-based Thinking Machines Lab with industry-specific solutions, lower costs, and enhanced privacy. Additionally, Taiwan companies are leveraging AI to manufacture AI servers, reinforcing the region's critical role in the global AI hardware supply chain.
New York State has signed into law a one-year moratorium on the construction of new data centers exceeding 50 megawatts, becoming the first US state to impose such a ban. The move has sent shockwaves through the AI industry, which depends heavily on data center capacity for training and inference. The ban reflects growing concerns over energy consumption and environmental impact of large-scale AI infrastructure.