From Standalone Intelligence to Robot Networks @openmind_agi The robotics industry is approaching a new tipping point: intelligence no longer depends on the performance of a single machine, but on the collaborative capabilities of machines. Today's robotic systems face three typical pain points: 1. Lack of experience reuse—each robot repeats the same mistakes as others. 2. Fragmented intelligence—different vendors and hardware operate independently. 3. Increasing task complexity—a single robot struggles to cope with an open world. This means that even with the largest models and the most powerful computing power, "standalone intelligence" will hit a ceiling in its growth rate. The key to the next stage is networked intelligence: This includes shared perception, shared knowledge, shared decision-making, and swarm collaboration. This transition is essentially like two historical leaps: Standalone intelligence—like the standalone computer of the PC era Swarm intelligence—like the networked systems of the internet era Whoever first forms the Internet of Robots will be qualified to define the next generation of real-world operating systems. OpenMind @openmind_agi's OM1 (Unified Interface Layer) and FABRIC (Collaboration and Trust Layer) are precisely moving in this direction: OM1 = Solving the language problem (making robots interoperable/programmable) FABRIC = Solving the trust and collaboration problem (making robots shareable/collaborative) The advantages are clear: The speed of experience accumulation will become exponential Robots will evolve from "single-machine task performers" to "node-based intelligent agents" The overall system will evolve from a "device stack" to an "intelligent network" Risks and challenges also exist: Data credibility Collaboration stability Risk of swarm outages and safety oversight Authority boundaries and human decision-making mechanisms But the direction is clear— The upper limit of robot intelligence depends on the depth of their connectivity, not the chip specifications. Future competition will not be about building the most powerful robot, but about owning the largest robot network.