This paper unveils the groundbreaking impact of Generative AI (GenAI) as the dawn of a transformative era in 5G/6G networks and beyond. Exploring its disruptive potential across the value chain—from network design to agile and robust automation—we showcase GenAI as a catalyst for innovation and unparalleled efficiency. While tracing its historical journey from conception to practical implementation, the paper positions GenAI not as the sole solution but as the inception of a new era shaping network design, deployment strategies, and synchronous optimization dynamics. We also scrutinize the role of causal AI and transparent frameworks, such as explainable AI and neuro-symbolic AI in fostering trust and seamlessly integrating domain knowledge. Looking ahead beyond GenAI, we envision a future AI landscape composed of semantic communications, collaborative GenAI and discriminative agents. We also examine the challenges related to scalability and complexity that must be overcome to achieve sustainable AI deployments. Finally, we highlight the significance of emerging computing technologies and frameworks, such as quantum and neuromorphic computing, that play a pivotal role in the broader trajectory towards artificial general intelligence.

中文翻译：

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电信的通用人工智能 (AGI) 愿景：超越 GenAI 前沿


本文揭示了生成式人工智能 (GenAI) 作为 5G/6G 网络及其他网络变革时代的黎明的突破性影响。通过探索其在整个价值链中的颠覆性潜力（从网络设计到敏捷而强大的自动化），我们展示了 GenAI 作为创新和无与伦比效率的催化剂。在追溯其从概念到实际实施的历史历程时，本文将 GenAI 定位为塑造网络设计、部署策略和同步优化动态的新时代的开端，而不是唯一的解决方案。我们还仔细研究了因果人工智能和透明框架的作用，例如可解释的人工智能和神经符号人工智能在促进信任和无缝集成领域知识方面的作用。展望 GenAI 之外，我们设想未来的 AI 格局由语义通信、协作 GenAI 和判别代理组成。我们还研究了与可扩展性和复杂性相关的挑战，必须克服这些挑战才能实现可持续的人工智能部署。最后，我们强调新兴计算技术和框架（例如量子和神经形态计算）的重要性，它们在通用人工智能的更广泛发展轨迹中发挥着关键作用。