There is a lot of homework every day, and this afternoon I joked in the group chat that it's like working now. Every day when I wake up, I first check Kaito's list and fill in the gaps to 'do homework' for specific projects. Apart from finding a few projects that are mainly focused on building, there are other fast TGE projects that can be supplemented as much as possible, even if they do not receive rewards in the end, at least there will be no regrets. After all, isn't the true meaning of lip syncing just talking incessantly 🤣 The MEMEX event ended yesterday, and the paper kings in the Chinese section are returning to the project today. The top 1000 airdrops of the Mingpai brand are definitely the most cost-effective. Although many people think that @ Mira-Network has already taken a snapshot and the cost-effectiveness is not very high if we roll it now, I feel that there is still a chance to give it a try. In the afternoon, I also took a look at some of the partners mentioned in Mira's previous tweets. After all, I have established an ecosystem and collaborated extensively on various Infra projects. Simply outline what these partners are doing behind the scenes. one ️⃣ GAIB: Turn GPU on chain into tradable assets, with AI Dollars as the anchor for returns. After Mira connects with them, it can verify the calculation process of AI. two ️⃣ Lagrange: focuses on zkML and DeepProve, using zero knowledge to prove the "authenticity" of AI output without exposing underlying data. This forms a combination of "private+auditable" with Mira's verification layer. three ️⃣ Gaianet: A decentralized AI inference network with 280000 nodes. Mira is preparing to integrate with them and embed the verification system to form a world-class, automated "AI verification network". four ️⃣ Think Agents: Standardized construction of personalized AI, developers can create their own agents based on standard protocols. The role of Mira is to act as a 'trust intermediary', ensuring that interactions between agents are trustworthy and verifiable. five ️⃣ Storacha: A decentralized storage system based on Filecoin, Mira writes all AI validated transactions and outputs into Storacha, forming an immutable audit chain. six ️⃣ Monad: A high-performance L1, compatible with EVM, with a throughput of up to 10000 TPS. After integrating the verification layer into Mira, Dapps are guaranteed to have "trusted AI output" in high-performance environments. seven ️⃣ Kernel DAO: Supports cross chain restaking, with TVL exceeding 2 billion dollars. Mira collaborates with Kernel to implement trusted AI computing on BNB, integrating verification AI into the infrastructure. eight ️⃣ Plume Network: Focusing on RWA's new chain, Mira will integrate its AI verification into Plume's asset analysis and risk assessment processes to avoid making wrong decisions. nine ️⃣ Mantis App: AI+DeFi Strategy Assistant, users can customize their own financial AI. Mira's role is to help users verify whether the AI's recommendations have biases or logical vulnerabilities. 🔟 Autonomy: Communication routing between Infra and Agents for TEE secure computing. After Mira is connected, it can ensure that the communication and execution process of the agent will not be tampered with. These collaborative projects combined have basically completed all AI projects. If there is data, it needs to be verified; if there is execution, it can be audited; if there is collaboration, it needs to be trusted. Mira serves as the foundation of trust for the entire project. Personally, I am quite optimistic about the verifiable layer track, after all, the problem that everyone has to face in the process of using AI is whether I can trust it? @What MiraN_Network is doing is solving trust problems through a verification layer and building trust systems through AI verification layer protocols.