
GitHub has integrated Google's Gemini 3.7 Flash model into its Copilot service, enhancing capabilities for web and app development. The model offers improved code quality and verification, particularly beneficial for complex coding tasks. Available to Copilot Pro, Business, and Enterprise users, it can be accessed through platforms like Visual Studio Code and JetBrains. The rollout is gradual, and administrators must enable the preview policy for organizational access. This update underscores GitHub's commitment to advancing AI-driven coding tools.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
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.
© The Verge AIGoogle AI Blog · May 19, 2026 · Same story
TechCrunch AI · May 19, 2026 · Related
Matt Wolfe · June 5, 2026 · Related
Matt Wolfe · June 10, 2026 · Related
GitHub Changelog · July 21, 2026 · Same story
GitHub Changelog · September 3, 2026 · Same story
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.