Can't the token burn? What's the reason why FLOCK is making more money with more use here? Hermes has recently been resurrected, and the regular operation is OK. Transitioning from Web3 to Web2 is still quite painful, with endless consumption. Let's not talk about the issue of model centralization anymore. Burning so many tokens means we can't give back to our customers? If we talk about it from this perspective, it must still be our well-established decentralized AI platform. Let's dive in! ⬇️ If you are a real user of an AI agent and have been consuming tokens, you should understand what I am saying. All the basic business models of AI on the market are still stuck in the last century. Simply put, it means pay as you go, and you are the consumer. As for your sharing of models and your genuine financial support, I'm sorry, it's all mine! So I was quite moved when I saw the @ (flock. io) FOMO Reward Season 1 event. I saw some teachers discussing in the group, and I was attracted because I heard that mining can be done, just like DeFi. I originally wanted to make some profit. But after using it for a while, I realized that the sleeping trough is completely different. The biggest difference between FOMO and many AI DeFi projects is that it does not initially design incentives around "staking mining", but rather around "real AI API usage". Speaking in person, other projects are more likely to make users pay attention to "how much reward can I get by saving it", while FOMO wants users to pay attention to "which AI model I really called, how much real demand I generated, and how much incentive weight I received as a result". This makes its mechanism more like an incentive loop driven by usage costs, rather than a simple token release game. Let me elaborate further. This process can be broken down into a very simple path: the user calls an AI model using an API → the calling process incurs real inference costs → these usage requirements drive the corresponding model token, which is the demand for MT → if the user wants to increase their weight in incentive allocation, they can pledge the model token they actually use; Finally, based on the weights formed by usage and staking, FLOCK incentive release and related model token incentives are obtained. Abstract: Use → Consume → Earn [Consumption/Stake MT Weight Bonus] How does this mode feel? If you are actually using an AI Agent, it is natural to get started with it directly. With the same call and different profit feedback models, FLOCK is like inventing a new AI DeFi model, which is the essence of FOMO activities. What are the benefits of doing this? From the perspective of developers, they only need to focus on the AI product functionality itself and the economic cycle model platform to arrange it for you directly. Cold start is no longer a problem. FLOCK uses incentives to help models gain early tuning, while also encouraging users to focus on which models are truly being used and which models are generating demand. From the perspective of users, the harm is obvious. You, as a real user, have received positive incentive feedback. You are not simply engaging in one-way consumption, but participating in the AI economic system and receiving smooth returns, that’s it. / It's pretty good, how can I participate? If you are already using AI API, the way to participate in FOMO is actually very simple: connect the real calls to the models supported by FOMO, continue to use the models you really need, and then see if there is an additional step based on actual usage. Participate in staking the corresponding $M to increase your weight in the model incentive pool. Many DeFi users, trading teams, and researchers use AI for market summaries, project analysis, news filtering, on chain address interpretation, and automatic report generation. If these tasks are completed through FOMO's model API, the original AI usage cost can enter FOMO's incentive loop. As for developers, if you are working on AI agents, chatbots, code assistants, data tools, or on chain analysis tools, API calls are your basic cost. You can integrate these calls into the FOMO supported model to convert real development requirements into incentive weights. The more you use your product, the higher the call volume, and the higher the participation in the corresponding model pool. Direct train: https://fomo. (flock.io) Finally, while writing this article, I searched X for Flock and found that many of Mao's wallets on Base received FLOCK airdrops? I checked and found out that I also have... Can I say, actually, it's not possible... Base TGE will have FLOCK to give gifts? emmm… Wish us good luck! / Author: Anymose | A Soft Core Science Popularization Writer This article is for educational purposes only and does not constitute any investment advice. Always remember DYOR!