It's almost September, but I'd like to remind everyone to pay attention to the @ Openledger HQ event. The airdrop on @ okiedotfun is expected to end in one month. Why do I keep staring at Openledger? To be honest, it has been almost half a year since the first time I wrote about it. The reason why I insist on following up is because in my eyes, this may be one of the most underestimated infrastructures in the AI field. Technology and Positioning The starting point of Openledger is very direct: to solve the problem of the "black box" of large models. Its on chain verification mechanism can fully record the reasoning process of AI on the blockchain. You can no longer just look at the results, but trace every step back. This is a very hardcore requirement for industries with extremely high compliance requirements such as finance and healthcare. At the same time, it is also promoting the concept of 'data sovereignty'. In the past, user data was locked in their own warehouses by large companies, and the value was basically not returned to the community. Openledger's data factory model returns ownership of data to users, and by contributing data, you can earn profits. If this logic runs smoothly, it may directly change the game rules of the entire AI training data market. Lastly, and in my opinion, the most promising aspect is that they have chosen to focus on small models in vertical domains rather than blindly trying to scale up generic models. Small models are lighter, faster, more targeted, and more suitable for the real landing needs of enterprises. Of course, there are also many issues. The cost pressure of on chain computing and storage is very realistic. How to attract more developers to build the ecosystem and how to balance with regulation are all issues that must be addressed in the future. But judging from recent actions, the team's thinking is very clear. OpenCircle has provided $25 million to support developers, and the collaboration with Trust Wallet has brought voice operations into the wallet. Even non-technical users can use visual interfaces to fine tune models in the model factory. It can be seen that they are gradually building a complete ecological loop. In the increasingly serious trust crisis in the AI industry, transparency and verifiability will become new competitive advantages. And @ Openledger HQ happens to be the player who grasps this point the most tightly. If it can run in all three directions of verification, data sovereignty, and small models, then it is not just an airdrop project, but is likely to become the foundation of the next generation of AI infrastructure. For me, continuing to participate and pay attention now is betting on an opportunity that may change the industry narrative in the future. OpenLedger Cookie @KaitoAI Yap