罗迪

• 1:清华大学物理系
• 2:清华大学高等研究院

摘要(Abstract)：

人工智能与物理学正进入深度交叉融合的新阶段。长期以来，物理学不仅为人工智能的发展提供了对称性、统计力学、量子理论等重要理论基础，也不断推动智能模型、训练优化与计算范式的创新；与此同时，随着人工智能系统复杂性的持续提升，其运行机理与演化规律也逐渐成为物理学关注和研究的新对象。在此背景下，本文提出物理第一性AI(Physics-first AI)这一概念，将人工智能视为运行于客观物理世界中的复杂信息处理系统，从物理学的基本原理与研究思想出发，系统理解、设计并优化AI的模型结构、训练机制、计算方式与推理范式，形成一种新的人工智能研究范式。本文系统梳理了人工智能与物理学交叉发展的理论脉络，并围绕结构先验、统计力学、量子理论和物理推理四个方面，阐述物理学推动新一代人工智能发展的理论基础与潜在路径，进一步讨论人工智能时代物理教育的发展方向。物理第一性AI有望为人工智能基础理论的发展提供新的物理视角，并推动科学智能、自主科学发现和未来通用人工智能的发展。

关键词(KeyWords)： 物理第一性AI;人工智能;对称性;统计力学;量子理论;物理推理;物理智能模型;量子优势

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 罗迪

DOI: 10.27024/j.wlygc.2026.07.08.is

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