Will AI kill the research paper? (marginalrevolution.com)

A provocative discussion is emerging around the future of academic research in light of advancements in AI, particularly questioning whether traditional research papers will become obsolete. The idea posits the integration of interactive features in research papers, allowing readers to update data dynamically and rerun analyses with various specifications. This shift could lead to the creation of "meta-papers" that evolve continuously, enabling researchers to add fresh data, perform robustness checks, and modify content without relying on a fixed canonical version. This transformation could significantly impact the AI/ML community by redefining how research is conducted and disseminated. Rather than static papers, the focus may shift towards collaborative, interactive platforms where knowledge is continuously built upon. This raises important questions about the future roles of researchers—will they become curators of evolving knowledge bases or continue to prioritize traditional publication? The transition to this decentralized or potentially centralized approach could reshape economics and other sciences, fostering a more dynamic and responsive academic landscape that enhances research accessibility and relevance in real-time.