Speed is not the hardest part of a network. Recovery is. A subtle direction in @quipnetwork is how the system handles failure, not success. Nodes can drop. Jobs can fail. Hardware can behave unpredictably. So instead of assuming everything runs perfectly, the architecture is moving toward automatic retry and redistribution of jobs across other nodes. That changes reliability completely. A failed task is not the end. It becomes part of the routing logic. Over time, the network learns which nodes are stable, which ones fail often, and adjusts job flow accordingly. That means performance is not just about power. It is about consistency under real conditions. And in a distributed compute system, that is what actually decides who earns.