
Meta and Google have introduced new AI models, signaling their ongoing competition in the AI field. Meta's Muse Spark 1.3 is praised for its cost-effective performance, ranking just below top models on the Intelligence Index. Google's Gemini 3.8 Flash, maintaining its previous pricing, shows improvements in coding and reasoning, aiming to recover from past challenges. These developments underscore Meta's growing influence in AI and Google's attempt to reestablish its position. The anticipation builds as Meta plans to release a larger model, 'Watermelon', soon.
Read originalTopicMeta Muse AI AgentCooling
Earlier 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 AIMatt Wolfe · May 15, 2026 · Same story
Lev Selector · May 15, 2026 · Same story
The Rundown AI · July 6, 2026 · Same story
TechCrunch AI · July 9, 2026 · Same story
AI Explained · July 10, 2026 · Same story
The Verge AI · July 24, 2026 · Related
The Rundown AI · August 11, 2026 · Same story
TechCrunch AI · August 14, 2026 · Related
The Verge AI · September 8, 2026 · Related
The AI Daily Brief · September 10, 2026 · Related
WIRED AI · October 12, 2026 · Same story
The AI Daily Brief · October 13, 2026 · Related
Together AI Blog · October 15, 2026 · Related
Google DeepMind Launches Gemini Omni 1.1 Flash
10 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.