A powerful AI model can understand language, recognize patterns, and generate information. But physical intelligence requires something more. It requires understanding the world beyond the screen. A robot has to deal with objects that can move. Environments that can change. People who behave differently. Unexpected situations. Different surfaces, locations, lighting conditions, movements, and interactions. These experiences create the kind of information that Physical AI systems need @axisrobotics is focused on helping build awareness around this data layer while encouraging more people to participate in the ecosystem. Start here; That participation matters because physical-world intelligence cannot be built from a single perspective. It requires diverse experiences and meaningful data from the real world. The future of robotics will be a collective effort involving developers, researchers, contributors, companies, and communities. The opportunity today is to become part of that foundation while the ecosystem is still developing.