Interdisciplinary research yields more substantial and long-lasting impacts, yet most academic endeavors remain isolated within single-domain silos. A recent study explores the potential of large language models (LLMs) to spark scientific creativity by facilitating interdisciplinary inspiration1. By leveraging LLMs, researchers can transcend traditional disciplinary boundaries and engage in collaborative, exploratory reasoning processes that drive innovative discoveries. This approach prioritizes the creative, idea-generation phase of scientific inquiry, rather than solely focusing on rapid experimentation and solution development. The use of LLMs can help bridge the gap between disparate academic fields, fostering a more integrated and dynamic research environment. This matters to practitioners because it highlights the potential for AI-driven tools to enhance the creative potential of interdisciplinary research, ultimately leading to more groundbreaking and impactful scientific discoveries.