Great Physical AI update from Intercognitive that features $AUKI @AukiNetwork is building the spatial intelligence layer for the physical AI, giving machines and robots perception. Auki's latest demonstration is bigger than two robots sharing a 3D map, it's an early look at shared spatial intelligence. Two robots can share a live 3D representation of their environment, allowing one to identify an object outside its own field of view using observations from the other. Machines and Robots no longer have to operate as isolated machines. They can share observations, build a common understanding of their surroundings, and coordinate more intelligently. Imagine robots in grocery stores, warehouses, factories, hospitals, and construction sites sharing what they see and learning from each other's observations. Instead of every machine operating independently, they can build a shared understanding of their surroundings and coordinate their actions more intelligently. That's a huge step toward making Physical AI scalable and useful in the real world. AI needs more than powerful models. Machines need to understand where they are, what's around them, and how to interact with the physical world. Today's demonstration is an early step toward a much bigger vision: an interconnected ecosystem of machines with shared spatial intelligence. The future isn't just smarter robots, it's robots that understand and work together in the physical world. This is why I'm paying attention to $AUKI