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祁晓亮. 时间、信息与人工智能[J]. 物理, 2024, 53(6): 357-367. DOI: 10.7693/wl20240601
引用本文: 祁晓亮. 时间、信息与人工智能[J]. 物理, 2024, 53(6): 357-367. DOI: 10.7693/wl20240601
QI Xiao-Liang. Time, information and artificial intelligence[J]. PHYSICS, 2024, 53(6): 357-367. DOI: 10.7693/wl20240601
Citation: QI Xiao-Liang. Time, information and artificial intelligence[J]. PHYSICS, 2024, 53(6): 357-367. DOI: 10.7693/wl20240601

时间、信息与人工智能

Time, information and artificial intelligence

  • 摘要: 近年来,人工智能(AI)大语言模型取得了突飞猛进的发展,将人工智能对人类社会的影响也拓宽到了前所未有的范围。文章将从与物理学有关的两个角度——信息和时间尺度,来谈谈作者对大语言模型带来的人工智能革命的一些不成熟的见解。文中首先回顾大语言模型的基本原理和近期发展,再讨论从信息的动力学和复杂度的角度如何看待大语言模型的意义。基于人工智能模型和人类认知系统的比较,也会探讨人工智能的下一步发展方向,以及AI智能体方面的探索和发展。

     

    Abstract: In recent years, the rapid advances in large language models have expanded the impact of artificial intelligence (AI) on human society to an unprecedented extent. This article will discuss my preliminary insights into the AI revolution brought about by large language models from two physics-related perspectives—information and time scales. I will first review the basic principles and recent developments of large language models, and then discuss their significance from the perspective of information dynamics and complexity. Based on the comparison between AI models and the human cognitive system, I will explore the next direction for AI, as well as the exploration and development of AI agents.

     

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