A new arXiv paper argues that high training costs are forcing a shift toward lightweight, domain-specific models. The authors propose an AI-model network to solve the bottleneck of heterogeneous model interaction. This framework enables distributed collaboration between specialized systems. Practitioners can expect a move away from monolithic architectures toward interconnected, private model clusters.