Models & Labs
Meta unveils VR glasses and camera-free AI wearables
The Verge AIhigh confidence
Why it matters
- →The tethered puck design solves the weight and thermal constraints of standalone VR glasses.
- →Camera-free smart glasses offer a viable path to mass adoption by mitigating public privacy backlash.
- →Dedicated hardware for AI agents like Muse Charm signals a shift toward always-on, physical AI interfaces.
Meta announced new hardware at its Connect event, headlined by Meta VR Glasses and camera-free Ray-Ban Meta Audio Glasses. The VR Glasses utilize a tethered computing puck to achieve a lightweight 100g form factor, aiming for mainstream adoption of immersive displays. To address privacy concerns surrounding previous smart glasses, the company released audio-only versions infused with Meta AI. Additionally, Meta introduced the Muse Charm, a dedicated hardware device for its new Muse AI agent, featuring a fingerprint sensor and microphone array for always-on interaction.
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.
How we got here
- 1Meta Developing AI Pendant for Wearables
TechCrunch AI · May 30, 2026 · Same story
- 2Meta Removes Face-Recognition from Smart Glasses App
WIRED AI · June 8, 2026 · Related
- 3NVIDIA XR AI Brings Agents to AR Glasses
NVIDIA Blog · June 16, 2026 · Related
- 4Meta's AI Glasses Privacy Concerns Persist
TechCrunch AI · July 8, 2026 · Related
- 5Meta Faces Moderation Challenges with Smart Glasses
The Verge Creator Economy · July 24, 2026 · Related
- 6Meta unveils Muse Glimmer: a 30B parameter multimodal model
Hugging Face Blog · August 10, 2026 · Related
- 7Meta Glasses Spark Privacy Concerns in Workplaces
The Verge Creator Economy · August 20, 2026 · Related
- 8Viture Launches Privacy-Focused AI Glasses
WIRED AI · September 22, 2026 · Related
What happened next
- 9Meta unveils standalone Muse Charm AI hardware
The Verge AI · September 24, 2026 · Related
- 10Meta and OpenAI bet on cute AI hardware agents
The Verge AI · September 30, 2026 · Related
- 11Meta Open Sources Muse Gadget Firmware
The AI Daily Brief · October 6, 2026 · Background
- 12Meta Open-Sources Muse AI Gadgets
Matt Wolfe · October 9, 2026 · Related
- 13Meta Muse Spark Open launches on Together AI
Together AI Blog · October 15, 2026 · Background
Follow this story
Open the full story →Meta unveils VR glasses and camera-free AI wearables
8 developments
- Sep 23 · The Verge AI
Meta unveils VR glasses and camera-free AI wearables (This article) - Sep 23 · The Verge AI
Meta launches camera-free Ray-Ban Meta Audio Glasses↳ Meta launches $349 camera-free Ray-Ban Meta Audio Glasses weighing 43 grams with 12-hour battery life to address privacy concerns. - Sep 23 · TechCrunch AI
Meta launches audio-only AI glasses to address privacy - Sep 23 · The Verge AI
Meta brings AI agent Muse to smart glasses - Sep 24 · TechCrunch AI
Meta expands Muse agent with Mac control and smart glasses - Sep 25 · The Rundown AI
Meta expands Muse agent to Charm keychain and AI glasses - Sep 27 · TechCrunch AI
Meta's Muse agent faces trust hurdles↳ Muse faces trust hurdles due to Meta's ad-driven business model conflicting with user privacy concerns. - Oct 5 · The AI Daily Brief
Meta Integrates Muse AI into Smart Glasses
More from The Verge AI
© The Verge AIGeneral AIproductivity
Meta Muse launches custom 'spaces' for AI workflows
Meta 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 AI
© The Verge AIVideo & Creative AImusic
inMusic embraces open-source modding for hardware
The 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 AI
© The Verge AIGeneral AIother
Amazon adds text-based shopping to Alexa
Amazon 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.
The Verge AI
More in Models & Labs
Models & Labsother
llama.cpp b12177 adds CUDA 13 and ROCm 10
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.
llama.cpp Releases
Models & Labsmodels
llama.cpp adds Kimi K3.1-Pro support
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.
llama.cpp Releases
Models & Labsother
llama.cpp b12182 release with CUDA 13 and ROCm 10
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.
llama.cpp Releases