FLock.io Launching FOMO Reward Season 1, FLOCK incentives shift towards real-world AI use-driven approaches

According to Foresight News , the decentralized privacy AI platform FLock.io has launched FOMO Reward Season 1, and the rewards are now available for collection. Through a new mechanism, FOMO connects AI inference usage, model token staking, and FLOCK incentive distribution, forming an on-chain incentive loop driven by real-world use. In FOMO Reward Season 1, users can participate in the reward distribution of corresponding model tokens after calling models through the FLock API platform and incurring real usage costs. The more a user uses a particular model, the higher its weight in that model's reward pool. At the same time, users can also stake the model tokens they actually use to increase their reward weight and further obtain FLOCK release rewards and model token incentives. This mechanism introduces AI inference into the on-chain incentive system: users generate real usage costs by calling APIs and form demand around the corresponding model tokens; the model tokens used for staking can increase the reward weight, and holding gmFLOCK can serve as a global bonus across models, amplifying its incentive capture capability in the entire model economy. The mechanism described in the image (|_2024111120231_) is not simply a subsidy, but rather a shift from a straightforward airdrop-style distribution of FLOCK incentives to usage-based rewards supported by real AI needs. As OpenClaw, Hermes Agent, and other third-party model tokens bring real AI workloads, competition for FLOCK rewards will continue to intensify. For early participants, the current phase presents a window of opportunity to establish positions for API usage, model token staking, and gmFLOCK bonuses; the weight of early participation is expected to continue to amplify in subsequent reward cycles.