
Meta announced the Ray-Ban Meta Audio, its first camera-free smart glasses, at Connect 2026. Priced at $349 and weighing 43 grams, the device focuses on audio features including music, calls, speech translation, and interaction with the Muse AI assistant. The launch aims to mitigate privacy concerns surrounding previous models while competing with products like Apple's AirPods. Preorders begin October 13.
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© TechCrunch AIEnveda’s $311 million Series E signals that the biotech market is betting heavily on nature-derived AI drugs. By doubling its valuation to $2 billion, investors are backing a strategy that hunts for medicines in plants and microbes rather than synthesizing them from scratch. With candidates already in clinical trials for skin conditions and GLP-1 weight loss maintenance, Enveda moves beyond theoretical promise into human testing. This funding validates the niche of using AI to decode complex natural compounds, a space where few players have reached this stage.
© TechCrunch AIOpenAI is finally bringing its desktop 'Work' capabilities to the ChatGPT mobile app, allowing Plus and Pro users to trigger complex workflows like drafting documents or summarizing Slack messages via voice. This moves beyond simple chat into agentic territory, letting users build sites or access finances through richer text output generated from voice commands. While Anthropic has focused on merging interfaces, OpenAI keeps chat and workspaces separate but is closing the gap by enabling seamless handoff between mobile and desktop. The real shift here is making multi-step automation accessible via voice on a pocket device, not just typing on a keyboard.
© TechCrunch AIYouTube Music is finally catching up to Spotify’s AI ambitions with two features that move beyond simple search. Ask Music lets users build queues or dig into music history using natural language, tapping into a catalog of over 300 million tracks. Meanwhile, Your Podcast Lineup generates spoken previews to cut through the noise of endless show recommendations. This isn't a breakthrough in model capability, but it signals that major platforms are standardizing conversational interfaces as the primary way to consume media.
vLLM is quietly closing the hardware gap for AMD users with this release candidate. By adding dense NVFP4 and MoRI kernel mirrors for the new MI355 GPU, they are enabling high-efficiency inference on hardware that previously lacked first-class support. This isn't just a driver update; it's a critical infrastructure patch that allows enterprises to deploy advanced quantization formats on AMD silicon without waiting for upstream integration. The inclusion of OpenAI Codex in the commit history suggests automated testing is helping maintain this parity, making AMD a more viable option for cost-sensitive inference workloads.
This release quietly solidifies llama.cpp’s position as the universal inference runtime by adding explicit ROCm 10.0 builds for both Linux and Windows. The inclusion of CUDA 13.4 alongside the existing 12.x variants ensures compatibility with the latest NVIDIA driver stacks without forcing users to stick to older libraries. More importantly, the new backend testing infrastructure means these diverse hardware configurations are now validated systematically rather than left to chance. This reduces fragmentation for developers running on AMD or newer NVIDIA cards who previously had to troubleshoot build issues manually.
This release refines the internal test suite for better visibility, but the real signal is platform expansion. CUDA 13 builds are now available across Linux and Windows, giving developers early access to the latest NVIDIA stack without waiting for stable drivers. AMD ROCm support also advances with version 10.0 binaries, keeping pace with hardware shifts. While KleidiAI on Apple Silicon is currently disabled, the core inference runtime remains robust across major architectures. This is a maintenance-heavy update that ensures compatibility with cutting-edge GPU libraries.