Models & Labs
Apple's Siri AI Relaunches with Google Partnership
AI Newshigh confidence
Why it matters
- →Apple's reliance on Google for AI models highlights the challenges of independent AI development.
- →The limited rollout of Siri AI underscores the complexities of global software deployment.
- →This collaboration may influence other companies' strategies in the AI model race.
Apple has relaunched Siri AI, now powered by Google's Gemini models, signaling a strategic shift in its AI approach. The new assistant offers improved conversational abilities and system integration, but its initial rollout is limited to English speakers, excluding major markets like China and the EU. This partnership with Google highlights the challenges Apple faces in developing competitive AI technology independently. The move raises questions about the feasibility of sovereign AI ambitions and the complexities of global software deployment.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
More in Models & Labs
Models & Labsmodels
llama.cpp b12029 adds CUDA 13 and Snapdragon support
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.
llama.cpp Releases
© The Verge AIModels & Labsother
