[2603.29735] Spontaneous Functional Differentiation in Large Language Models: A Brain-Like Intelligence Economy

Computer Science > Artificial Intelligence arXiv:2603.29735 (cs) [Submitted on 31 Mar 2026] Title:Spontaneous Functional Differentiation in Large Language Models: A Brain-Like Intelligence Economy Authors:Junjie Zhang, Zhen Shen, Gang Xiong, Xisong Dong View a PDF of the paper titled Spontaneous Functional Differentiation in Large Language Models: A Brain-Like Intelligence Economy, by Junjie Zhang and 3 other authors View PDF HTML (experimental) Abstract:The evolution of intelligence in artificial systems provides a unique opportunity to identify universal computational principles. Here we show that large language models spontaneously develop synergistic cores where information integration exceeds individual parts remarkably similar to the human brain. Using Integrated Information Decomposition across multiple architectures we find that middle layers exhibit synergistic processing while early and late layers rely on redundancy. This organization is dynamic and emerges as a physical phase transition as task difficulty increases. Crucially ablating synergistic components causes catastrophic performance loss confirming their role as the physical entity of abstract reasoning and bridging artificial and biological intelligence. Subjects: Artificial Intelligence (cs.AI) Cite as: arXiv:2603.29735 [cs.AI]   (or arXiv:2603.29735v1 [cs.AI] for this version)   https://doi.org/10.48550/arXiv.2603.29735 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission...