
AT&T has integrated Google's Gemini for Home capabilities into its Connected Life smart security system, marking the first home security product to support these AI features. The integration allows users to search video footage using natural language questions, such as identifying delivery details or investigating yard disturbances, and receive daily activity summaries. These functions are exclusively available to subscribers of AT&T's $29.99 per month professional monitoring plan. The move follows Google's launch of Home APIs for developers and precedes similar potential integrations with competitors like ADT.
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Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
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© The Verge AIMeta is shifting Muse from a passive chatbot to an active workspace with 'Spaces,' letting users build persistent, app-like interfaces for specific tasks like shopping or scheduling. By connecting external services like Gmail and Notion, these spaces pull live data into the UI, effectively turning natural language prompts into functional dashboards. This moves AI interaction beyond simple Q&A toward structured, goal-oriented environments that adapt to your daily context.
© The Verge AIThe music hardware industry is pivoting from closed ecosystems to open modding, led by inMusic's decision to release source code and SDKs for devices like the MPC Sample Key. This strategic shift acknowledges that 'vibe coding' has become a dominant force in creative tech, forcing legacy manufacturers to provide safe tinkering environments rather than fighting it. While competitors like Elektron remain cautious about bricking risks, inMusic is betting that community-driven innovation will drive engagement and loyalty. The move signals a broader acceptance of user-generated firmware as a standard feature in professional audio gear.
© The Verge AIAmazon is extending its AI shopping assistant into the SMS layer, letting users text product requests or photos directly to a contact labeled 'Amazon Alexa.' This moves conversational commerce out of proprietary apps and into the universal interface everyone already uses. By remembering preferences like vegan diets and tracking price drops, it attempts to replicate the convenience of voice assistants without requiring a smart speaker. The rollout starts with a small US group before expanding to millions, signaling Amazon's bet that text is the next friction point for impulse buys.
This release quietly closes the hardware gap for local inference by adding default support for CUDA 13.5 and ROCm 10.0 alongside existing CUDA 12 builds. AMD GPU users finally get first-class parity with NVIDIA, while Snapdragon mobile chips gain dedicated NPU acceleration paths. Apple Silicon KleidiAI is explicitly disabled here, a notable regression for Mac performance that suggests ongoing tuning issues. The inclusion of OpenVINO and SYCL backends further cements llama.cpp as the universal runtime for inference across nearly every major silicon architecture.
Kimi’s new K3.1-Pro model joins the llama.cpp ecosystem, bringing a distinct architectural twist to local inference. By replacing full-attention MLA layers with DSA (Dynamic Sparse Attention) and linear-attention KDA layers, this release tests how well sparse caching handles hybrid attention patterns. The implementation keeps indexer precision high to avoid quality loss during top-k selection, ensuring the model runs accurately on consumer hardware. This expands the library’s reach into newer Chinese open-weight models that rely on complex memory management.
This release quietly cements llama.cpp as the universal inference runtime by adding default builds for CUDA 13.5 and ROCm 10.0 across Linux and Windows. The inclusion of ROCm 10 means AMD GPU users no longer need custom compilation to access modern acceleration, effectively closing the gap with NVIDIA's ecosystem support. While KleidiAI on Apple Silicon is disabled in this build, the broader platform coverage ensures that local inference remains accessible on virtually any hardware configuration without manual setup.