AI正从研究工具演变为科学合作者，重塑科研协作与发表模式。
The Agentification of Scientific Research: A Physicist's Perspective
- AI从辅助工具发展为具备协作能力的科学伙伴
- 推动科研结构变革，提升发现与发表效率
- 强调持续学习与多元思想对原创发现的关键作用
本文认为，人工智能革命，特别是大语言模型的兴起，其重要意义不仅在于自动化，更在于深刻改变复杂信息与人类知识的承载、复制与传播方式。从这一视角看，人工智能赋能科学尤为关键，因其可能不仅提升研究效率，更将重构科学协作、发现、出版与评价的结构。文章勾勒了从AI作为研究工具到作为科学合作者的渐进路径，并探讨了AI如何根本性重塑科学出版。同时指出，若要使AI在原创科学发现中发挥真正作用，持续学习与思想多样性不可或缺。
原文摘要 · Abstract (English)
This article argues that the most important significance of the AI revolution, especially the rise of large language models, lies not simply in automation, but in a fundamental change in how complex information and human know-how are carried, replicated, and shared. From this perspective, AI for Science is especially important because it may transform not only the efficiency of research, but also the structure of scientific collaboration, discovery, publishing, and evaluation. The article outlines a gradual path from AI as a research tool to AI as a scientific collaborator, and discusses how AI is likely to fundamentally reshape scientific publication. It also argues that continuous learning and diversity of ideas are essential if AI is to play a meaningful role in original scientific discovery.
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