You can find information about Sahara AI on X No less than a few hundred research posts Everything is written very well -—— I have always believed that a good project is definitely the place with the most attention. AI annotation is ultimately a direction that both CZ and Yijie are optimistic about. I also did a lot of tasks for the SIWA test network that Sahara AI launched in May. one ️⃣ Put a set of data The total active accounts on the chain have exceeded 3.2 million Daily active accounts reach 1.4 million The data service platform has over 200000 users Millions of users waiting to be added to the whitelist for annotation two ️⃣ Data represents vitality The vitality of Shara lies in the intelligence and execution of AI, providing a complete supply chain through AI, from data validation, model orchestration, execution to transaction and collaboration capabilities for result and benefit distribution. In the big cycle of AI, the narrative of TAO, which used to be a decentralized machine learning network, can reach billions of FDV As an early stage Sahara AI with real application scenarios and native L1 infrastructure, why can't it have stronger imagination? If the basic logic is the same, but the narrative direction is different, the differentiation of values will definitely be revealed. That's also why I say that Shara AI represents the new force of AI, a vibrant on chain asset management system. This system can meet all types of data, content, and revenue needs. Consumers and non-technical users AI Developer AI resource provider Enterprise users They are all target users and also essential groups. The operation mechanism, ownership confirmation method, value distribution, and dividends of AI are the core of the AI system in the WEB3 world. Sahara currently appears to be the optimal solution.