UK Taps Google DeepMind to Speed Up Housing Planning With AI

Google is in talks with Samsung Electronics to manufacture part of its next-generation Tensor Processing Unit, code-named Icefish, using Samsung's 2-nanometer production technology. The move reflects broader industry pressure as AI chip demand strains manufacturing capacity at Taiwan Semiconductor Manufacturing Co., the dominant supplier. Icefish is planned as Google's 10th-generation TPU for use in cloud data centers.

Google DeepMind and partners have announced a $10M funding call dedicated to multi-agent AI safety research. The initiative aims to address safety challenges that emerge when multiple AI systems interact with each other. This represents a targeted investment in a research area that has received less attention than single-agent safety concerns.

A German court ruled that Google is legally responsible for the accuracy of content generated by its AI Overviews feature, which produces AI-generated answers within Google search results. The ruling treats AI-generated content as Google's own statements rather than neutral search results, establishing potential liability for factual errors. This decision could have broad implications for how AI-generated content is regulated across jurisdictions.

Google DeepMind released DiffusionGemma, a 26B Mixture of Experts model that generates text up to 4x faster than autoregressive models by producing entire blocks of text simultaneously rather than token-by-token. The open experimental model, available under Apache 2.0 license, achieves 1000+ tokens per second on NVIDIA H100 GPUs and fits within 18GB VRAM on consumer hardware when quantized. The trade-off is lower output quality compared to standard Gemma 4, positioning it for speed-critical applications like real-time editing and code infilling rather than production use cases demanding maximum quality.