Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrigue across scientific, commercial, and societal arenas. This fascination extends particularly to the Internet of Things (IoT), a landscape characterized by the interconnection of countless devices, sensors, and systems, collectively gathering and sharing data to enable intelligent decision-making and automation. This research embarks on an exploration of the opportunities and challenges towards achieving AGI in the context of the IoT. Specifically, it starts by outlining the fundamental principles of IoT and the critical role of Artificial Intelligence (AI) in IoT systems. Subsequently, it delves into AGI fundamentals, culminating in the formulation of a conceptual framework for AGI's seamless integration within IoT. The application spectrum for AGI-infused IoT is broad, encompassing domains ranging from smart grids, residential environments, manufacturing, and transportation to environmental monitoring, agriculture, healthcare, and education. However, adapting AGI to resource-constrained IoT settings necessitates dedicated research efforts. Furthermore, the paper addresses constraints imposed by limited computing resources, intricacies associated with large-scale IoT communication, as well as the critical concerns pertaining to security and privacy.

翻译：人工智能通用智能（AGI）具备人类认知能力，能够理解、学习并执行任务，在科学、商业和社会领域引发了巨大期待与浓厚兴趣。这种关注尤其延伸至物联网（IoT）领域——一个由无数设备、传感器和系统相互连接，共同收集和共享数据以实现智能决策与自动化的场景。本研究旨在探索在物联网背景下实现AGI的机遇与挑战。具体而言，首先概述物联网的基本原理以及人工智能（AI）在物联网系统中的关键作用；随后深入论述AGI的基本原理，最终提出AGI在物联网中无缝集成的概念框架。AGI赋能物联网的应用范围十分广泛，涵盖智能电网、居住环境、制造业、交通运输、环境监测、农业、医疗保健和教育等领域。然而，将AGI适应于资源受限的物联网环境需要专门的研究工作。此外，本文还探讨了有限计算资源带来的限制、大规模物联网通信的复杂性，以及涉及安全与隐私的关键问题。