The Agentification of Scientific Research: A Physicist's Perspective
For the scientific community, this article provides a conceptual framework for understanding AI's transformative role in research, though it is a perspective piece without empirical results.
This perspective article argues that AI, particularly large language models, will fundamentally change how scientific knowledge is carried, replicated, and shared, potentially transforming collaboration, discovery, publishing, and evaluation in research. It outlines a path from AI as a tool to AI as a collaborator and emphasizes the need for continuous learning and diversity for original discovery.
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.