Google DeepMind has introduced WeatherNext 3, its most advanced AI model for global weather forecasting. The model uses real-time satellite data to produce hourly forecasts at a 5-kilometer resolution, offering a fivefold improvement over its predecessor. This allows for more accurate predictions of local weather events, crucial for areas like Latin America and Asia-Pacific that lacked high-resolution forecasts. WeatherNext 3 also supports renewable energy planning by predicting wind speeds and solar radiation levels, enhancing the ability to match energy production with demand.
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This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
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Google Unveils AI Model for Enhanced Weather Forecasting
3 developments
Apple is finally unlocking its AI suite for Chinese users with the iOS 27.3 beta, marking a significant regulatory milestone after months of approval delays. The rollout relies on Alibaba’s Qwen model rather than OpenAI, integrating features like notification summaries and visual intelligence directly into the OS. By sidestepping the new Siri in favor of established text and image tools, Apple is prioritizing immediate utility over the full generative experience. This move effectively brings Apple’s AI capabilities to a massive new market, albeit with localized constraints that distinguish it from the global release.