The article argues that large AI models for generalist robotics should run on cloud servers rather than on-board robot hardware, despite latency concerns. It contends that scaling laws demonstrate larger models achieve better performance, making cloud-based inference necessary to avoid constraining robot capabilities to smaller, less capable models.