According to @AIatMeta, Meta has launched ExecuTorch, an advanced on-device AI runtime now deployed across devices including Meta Quest 3, Ray-Ban Meta, Oakley Meta Vanguard, and Meta Ray-Ban Display (source: ai.meta.com/blog/executorch-reality-labs-on-device-ai). ExecuTorch streamlines the deployment of PyTorch models by removing conversion steps and enabling pre-deployment validation directly within PyTorch. This innovation shortens the research-to-production cycle, ensuring efficient and consistent AI performance across Meta’s diverse hardware ecosystem. The move opens up significant business opportunities for AI developers targeting edge devices, facilitating rapid prototyping and scalable AI solutions in consumer electronics. ExecuTorch’s integration highlights the growing trend of on-device AI, addressing latency, privacy, and energy efficiency—key factors for next-generation AR and VR devices.