I think most people underestimate how quickly AI infrastructure breaks once you move beyond a single agent.
One agent making decisions is manageable. Hundreds or thousands of agents interacting, sharing information, triggering actions and operating across multiple environments creates an entirely different coordination problem.
That's why OpenGradient's work on interoperability and coordination primitives within the Neuro Stack stands out. The challenge isn't generating intelligence. It's managing how agents communicate, verify outputs, allocate tasks and settle actions without overwhelming the underlying infrastructure.
The tension is straightforward. More agents create more capability but they also create more coordination overhead. Without clear coordination mechanisms, network activity can grow faster than useful outcomes.
After watching distributed systems evolve scale rarely fails because participants stop acting. It fails because they start acting without coordination.
