AI Needs a Place to Stand
World models, AI Terminals, AI Hosts, and the physical layer for intelligence in real places.
Language models made intelligence conversational. World models are beginning to make it spatial, predictive and action-aware. Yet a model cannot help inside a venue unless it has a physical point of presence, current state, permission to act and feedback from what happened next. simulatingMachines is building that bridge: AI Terminals first, AI Hosts next, and the physical AI support infrastructure around them. The service creates immediate value by helping people navigate, find, act and reach the right person. Simulation and real-world outcomes form a learning loop; under appropriate agreements, aligned experience may become evaluation and training assets for world-model builders. This paper presents the thesis: make helpful AI present wherever people need assistance.