😜 @Mira_Network aims to add a layer of "decentralized verification" to AI-generated content. It will first break down the AI-generated content into a bunch of individually verifiable small paragraphs and conclusions, then let multiple models independently judge the accuracy of each one. Once multiple models reach a consensus, nodes will write this process into a cryptographic certificate, turning it into a trustworthy "AI verification report". These nodes are not working for free; their incentive mechanism combines PoW and PoS, requiring both a certain level of computational power and staking. Simply put: you can only earn money if you do it right, and if you do it poorly, you will incur losses. This compels nodes to be as honest and diligent as possible in their verification. The most crucial aspect of this system is that it is not just about "error checking"; it is also about building an "automatic error correction" AI infrastructure for the future. If it can truly ensure that every AI output has verification, correction, and proof, then AI can operate more confidently in unsupervised systems. This capability could be a key step in the next wave of AI breakthroughs. What Mira wants to achieve is no small feat; in simple terms, it is about enabling AI to verify itself, allowing AI to create a self-contained loop, rather than relying on humans to back it up every time. This direction is indeed worth paying attention to. The key point is that it has a leaderboard activity on @KaitoAI, and recently @arbitrum, @Aptos, and @0xPolygon have also been very popular.