When many people heard that @recallnet was invested by 40 institutions, their first reaction might be "Oh, another AI project that successfully raised funds", but I saw another key point: the lead investor was Multicoin. Don't underestimate this institution. Solana, APT, https://t.co/2Orxejjetf, Lido, Zama... all of them are names of giants in the cryptocurrency circle, and almost all of these projects have the shadow of Multicoin behind them. So I was particularly curious about what kind of team could handle such a picky Multicoin. As a result, I was shocked when I checked the team. CEO Andrew used to work on ecosystem modeling, and later led the team to build IPFS Buckets, Powergate, go-threads and other Web3 infrastructure. Now he is working on Recall and continues to drill system stability and long-term mechanisms. The CTO is a technical core from Apple, and he wrote half of the Filecoin technology stack. The product line includes ConsenSys, Ceramic, and 3Box, which directly opened up the experience closed loop of Ethereum DID, data layer, and identity layer. What exactly is Recall doing? To put it bluntly, it is a "chain martial arts hall" specifically used to train AI agents. You are the master, you teach your strategy to the robot, it goes on the field to simulate trading, you get rewards if it does well, and go back to practice if it does not do well. Every transaction and every judgment are all recorded on the chain, not relying on judges or metaphysics, but relying on real execution. This is much more reliable than the so-called "AI orders" on the market now. It is not only transparent and verifiable, but also can be imitated by selecting the strategies of masters through the rankings. And this "AI hackathon" is also the core gameplay of Recall, open to everyone to participate, training and competing at the same time. What I like about this project is that it is not purely about technology, but it makes the path of "people teach AI, AI works on the field, and people make money with AI" very clear. And the verifiable mechanism on the chain naturally solves the black box trust problem that AI is most troublesome now. Not to mention that the team configuration is really fierce. The technology is strong, the product understands the rhythm, the document experience is good, and there are beautiful women operating, the time, the place, and the people are all right. It is still in the testing period. After the official launch, this model of "everyone can be a teacher, AI makes money for you" is expected to open up a new wave of AI applications on the chain. Getting Multicoin investment is just the beginning. How it will go in the future may really be a benchmark case for new species in the currency circle.