
The long-held belief that progress in artificial intelligence is synonymous with constructing ever-larger and more computationally demanding models is now being fundamentally challenged by an alternative paradigm rooted in collaboration. This research summary explores the emerging field of AI collectives, where ensembles of smaller, specialized models work in concert to solve complex problems, rivaling the performance of singular, massive systems.










