AI is indeed becoming more and more articulate, but ultimately, AI itself cannot determine the authenticity of events. Balaji was right when he saw A16Z's tweet yesterday: "AI makes everything fake, and crypto makes them real again Behind this statement, there is actually a greater demand brewing: the infrastructure of verification mechanisms. After all, we cannot rely on human flesh to verify authenticity every time, as it is simply unrealistic in terms of time and labor costs. So there must be a complete set of programmatic, modular, and reusable authenticity judgment engines. This is exactly what @ MiraN_Network is doing, not making LLM big models, but instead developing truth plugins for big models. What the model outputs, they break it down into individual claims and cross check them with multiple validator models to reach a consensus before outputting. The recent collaboration between Mira and AKEDO is a good example. AKEDO is a multi-agent game engine. It can generate a playable game within two minutes. Super fast, super flexible. But the biggest problem is that when AI is used to generate plot, character behavior, and prop attributes, it is easy for it to create them randomly for the sake of "fun", and even logically illogical. At this point, @ Mira-Network's Verify API is like a referee in a game. After the AI generates content, Mira's model cluster judges whether what it says is reliable. For example, the damage value of the weapon cannot fluctuate. Mira will verify these details one by one. And the verification process is on chain authentication. This means that creators can trust AI to generate, but users can also play with peace of mind because every logic can be traced and verified. To be honest, AI has made "creation" cheap, but the threshold for "trustworthy creation" has become expensive. And Mira is turning "trust" into a module, a protocol, and a public tool that can be repeatedly called. Make the content generated by AI verifiable.