The paper identifies that generative AI is viewed as fundamentally individual in user interactions, model construction, benchmarking, and research strategies (arXiv:2603.29075). It draws on research in complex systems, organizational behavior, and philosophy of science to support its position.

Epistemically diverse groups of AI agents are expected to produce deep intellectual breakthroughs unlike singular superintelligent agents, as they broaden solution searches, delay premature consensus, and permit unconventional approaches (arXiv:2603.29075). The authors cite formal results from these fields to reach this conclusion.

The proposed shift addresses criticisms that current models are constrained by past data and lack creative insight, concluding that the future of transformative transformer-based AI is many, not one (arXiv:2603.29075).