$AUKI is showing why spatial intelligence could be one of the most important missing pieces in physical AI. An LLM can reason incredibly well about information, but it doesn't automatically understand the physical world around it. In this demo, Auki gives AI a spatial representation it can query, identifying robots and tasks, understanding where things are, and answering precise questions about their relationships and distance. Instead of building a separate intelligence layer for every robot, AI can access a shared understanding of the environment and the capabilities within it. This is what makes the any LLM & physical AI harness idea so interesting. The model provides the intelligence. The robots provide the physical capability to act. Auki’s posemesh provides the spatial context connecting the two. It creates a foundation for AI to understand, coordinate, and eventually act across real world environments. If AI is moving from the screen into the physical world, it needs a way to understand that world. Auki is building that layer. Bullish.