Something about @OpenGradient 's incentive design kept surfacing for me — not the big narrative about decentralized AI, but a quieter tension in how $OPG actually distributes value at launch versus who the system is eventually supposed to serve. The token mechanics reward staking participation early, which means the first beneficiaries are capital allocators, not the compute providers running verified inference or the developers building on top of the #OPG network. That's not unusual for a token launch, but it sits oddly against a project whose core claim is infrastructure for AI agents to trustlessly coordinate. If the early incentive layer is primarily financial — stake, earn, wait for demand — then the "decentralized intelligence" framing is a future state, not a current one. The verified inference market has to materialize before staking rewards stop being the primary value capture mechanism. Whether that demand emerges fast enough to hold the incentive structure together is the part I keep coming back to and not quite resolving.