Software has transformed how we communicate, work, and access information, but the next big challenge is teaching intelligent machines how to understand and navigate the physical world around us, this is why i find what @vangrid_io is building interesting, because embodied AI needs more than text and ordinary images to understand real environments Robots, autonomous drones, and advanced simulations need accurate 3D geometry that represents the actual spaces where they will operate Here are three things worth understanding about Vangrid: Turning everyday movement into useful data: People walking through streets and public spaces can help capture real-world spatial information, creating a distributed approach to collecting the 3D data needed by physical AI systems Building a better foundation for world models: High-fidelity spatial geometry helps AI systems represent environments more accurately, which is important when training machines to navigate, interact with objects, and make decisions beyond a computer screen Making spatial data verifiable: Vangrid combines spatial data collection with on-chain verification and settlement, creating a framework where contributors can provide useful data while its provenance and associated payments become easier to track What makes this narrative interesting to me is the opportunity to connect ordinary human movement with the infrastructure required by the next generation of intelligent machines We have spent years teaching AI to understand information online. Now, projects like @vangrid_io are working on helping AI understand the world outside the screen Make my opening more distinctiveExplain human motion more concretely