Outstanding anlaysis on cooperative economics in the AI era. The federated learning architecture you describe is spot-on for operational intelligence, where context density matters far more than data volume. What's often overlooked is how secure aggregation plus contribution scoring solves the free-rider problme that killed earlier cooperative attempts. The Gulf Coast seafood example is particularly compeling, showing how heterogenous edge compute can be 20x cheaper than cloud GPUs for specific operational tasks while building a context moat platforms simply can't replicate.