
Google has upgraded its AI-powered note-taking app, NotebookLM, with the Gemini 3.5 model, enhancing its accuracy and reliability. The update introduces a cloud computing feature, enabling users to conduct research directly through chat and find sources using Google Search. NotebookLM now supports various output formats, including PDFs and data visualizations, thanks to its integration with Google's Antigravity coding platform. This upgrade is currently available to AI Ultra plan and Workspace customers, with plans for broader availability in the future.
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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 launched Gemini 4 Carbon, a new model variant aimed at providing high performance at a lower cost for inference tasks.