The more I look into physical AI, the more $GEOD makes sense to me. We talk a lot about AI making machines smarter, but there's another problem that doesn't get nearly as much attention, a machine needs to know exactly where it is. A drone, robot, autonomous vehicle or agricultural machine can't operate on "close enough" positioning. Meter level accuracy can be fine for a person looking at a map. It's a very different story when a machine is navigating, mapping, spraying, landing or moving autonomously. @GEODNET is building a decentralized RTK network that can take GNSS positioning down to centimeter level accuracy, with 22,000+ reference stations and live coverage across 175+ countries. AI gives machines intelligence. Sensors give them perception. Precise positioning gives them a reliable understanding of where they actually are. That's an extremely important piece of the physical AI stack. I'm watching $GEOD , alongside some of my other physical AI favorites, $AUKI and $NATIX . x.com/GEODNET/status …