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The model also has to know not just what a concept is, but where it is (in space and time). That's what spatial and temporal reasoning give a world model: the grounding to act, not just describe. Most models can already tell you that a motorcycle, a person or a bag is on screen. The answers people actually need are the following inferences: where exactly is it, what happened over time, who it is, and does it matter. This post walks through four reasoning types our models perform, with real output from real footage for each, and ends with the part we consider just as important: this reasoning is built to run at the edge, on the devices where the cameras are. Seeing Precisely: Spatial Grounding Useful reasoning starts with knowing exactly where things are, not just that they exist. 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