Stephen Wolfram's article discusses the evolving role of AI in scientific research, emphasizing its potential as a new tool for scientific inquiry. He argues that while AI offers a human-like approach to computational reducibility, its fundamental capacity for discovery is limited compared to what can be achieved through the computational paradigm and irreducible computations. The key to advancing science lies in integrating AI with formal computational methods, a direction that Wolfram has been actively exploring through the Wolfram Language, machine learning, and large language models (LLMs). Initially, AI may struggle with the complexities of various scientific fields due to differing terminologies and assumptions. However, significant progress is expected once AI establishes a solid foundation that allows it to navigate and connect multiple disciplines, a feat that is challenging for humans to accomplish within a lifetime.
