Actually, I didn't want to participate in @ TheoriqAI because I didn't get involved from the beginning and there were also many big shots in the front row. But when I saw that Theoriq had added 1M token rewards to Yapers, I felt a bit restless. After all, it's probably impossible to reach the top 100 within two weeks, but reaching the top 1000 within two weeks. I think I can do it again! After all, the event started today and will last for two weeks until August 6th. It can also be considered as catching up with the initial stage of this event. Although there are obstacles and abnormally long rolls, it is still necessary to participate in the short-term airdrop with clear signs. I was fortunate enough to read @ TheoriqAI COO's complete thoughts on establishing trust in autonomous systems before. In fact, for Theoriq, the most core point is not to talk about vision, but to start directly from the "trust mechanism". After all, people already have low trust in AI agents, so many projects are currently conducting trust mechanism verification. On Defi, it's about the money bag. What we need for AI is a down-to-earth 'landing', rather than a wild 'divergence'. At this point, it must be admitted that Theoriq has done a great job. Agents not only need to execute policies, but also receive system assessments. If the performance is poor, the pledged slashing will be deducted, which undoubtedly enhances and tests the sense of responsibility of the Agent strategy team. Speaking of AI agents, traditional projects rely on individual agents to support a particular project. And Theoriq is engaged in 'Agent Group Collaboration'. Each agent is like a module, working together to execute a complex strategy. This' Swarm 'mechanism can be simply understood as each performing their own duties. Some people specialize in strategic judgment, some are responsible for cross chain operations, some execute arbitrage, some monitor in real-time, and the entire chain is connected with just one click. This mechanism not only solves the "illusion" of LLM, but also addresses the issue of user trust. In addition, a "trust network" is also being built in the community to fully disclose the ranking, performance, and historical records of the agent, which provides users with a more powerful perspective on the agent's past. DeFAI is definitely a necessary track in the future, and in this track, I value two factors the most: safety and stability. For stability, we need sustainable output to continuously improve our ability to make money. After all, the consensus among everyone is that 'Agents must earn trust through results, not by running code'