Microsoft has unveiled its Majorana 2 quantum chip, which features qubits 1,000 times more reliable than previous models and a qubit lifetime of 20 seconds. This breakthrough was achieved with the help of Microsoft's Discovery agentic AI platform, which managed complex R&D processes and automated tasks that were previously time-consuming. The platform is now available to enterprise customers, marking a significant step forward in AI-assisted scientific research. This development could accelerate the timeline for commercially scalable quantum computing, with Microsoft aiming for 2029.
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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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Microsoft to unveil new AI models at Build
6 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.