When I read the governance section of the Fabric whitepaper, it honestly felt less like a finished system and more like an open conversation about how a real robot economy should be organized. Questions around sub economy definitions, validator selection, and measurable outputs show that the network is still evolving rather than pretending everything is already solved.
The idea of sub economies is particularly interesting. Different robot groups might operate in different regions or industries, creating their own economic patterns. If the protocol can detect which sub economies perform best, it could help the network naturally evolve stronger models. The challenge is defining these boundaries without limiting experimentation.
Validator selection is another sensitive point. Validators are responsible for monitoring robots and resolving disputes, which means trust and accountability become critical. A well designed validator system can strengthen the network, but a poorly structured one could introduce centralization risks.
What I appreciate most is the focus on non gameable metrics. Instead of rewarding empty activity, the system tries to measure real contribution from robots. In theory, that aligns incentives with real economic value, although building metrics that cannot be manipulated will always be difficult.
To me, these open questions are actually a good sign. It shows that @Fabric Foundation foundation is thinking seriously about how the long term structure of the robot economy should work, not just launching a token. If these governance pieces come together properly, #robo could become a meaningful coordination layer for machines, data, and human oversight.