Meta Fiberverse: Towards Symbiotic Edge Intelligence with Fabric Computing and LLMs

With the development of ubiquitous computing and multimodal sensing, intelligent terminals are evolving towards a “human-machine symbiosis” paradigm, increasing demands for intelligent, autonomous and self-adaptive terminal systems. However, existing systems still face fun-damental challenges in real-world deployments: 1) trade-off between user comfort, data fidelity, and privacy; 2) absence of context-aware scheduling mechanisms; and 3) limited capabilities in semantic generalization. To address these challenges, we propose Meta Fiberverse, a fabric-based computational platform designed for human-machine-environment symbiosis. The system integrates high-density fabric sensing, high-fidelity scheduling mechanisms, and plugin-enhanced semantic coordination framework powered by large language models. Experimental results demonstrate the system’ s performance in communication latency and task accuracy, offering a feasible path and technical reference for next-generation human-centered intelligent terminals with human-machine symbiosis, resource self-consistency, and semantic autonomy.