Paper 2606.27382v1 proposes an AI-Model Network to solve the high cost of large model deployment. The authors argue that heterogeneous models must collaborate to overcome current training bottlenecks. This shift favors lightweight, domain-specific systems over monolithic architectures. Practitioners can expect a move toward decentralized, private model clusters rather than single, massive LLMs.