When AI can fake anything, what can we still trust? A few days ago, I almost fell for an industry report that looked professional and rigorous, with detailed data and clear logic, until I checked a few more sources and found that it was completely generated by AI out of thin air. Since then, I have become more cautious about all the glossy AI content online. For example, is this video content real? Has this analysis been altered? Is there some hidden intention behind this conversation? @miranetwork

AI has become so powerful that it can easily generate text, images, reports, and even entire segments of realistic conversations. The question is no longer what AI can generate, but can we still trust everything in front of us? This is precisely the key point where Mira steps in.

In today's world where synthetic content is rampant and relying solely on intuition is no longer sufficient, what Mira does is simple yet crucial: it builds a solid and traceable verification layer for AI-generated content. Just like conducting quality checks on products, it allows you to inspect whether the components and sources of digital content have been tampered with. Can it really be trusted?

It doesn’t just let you stay at the surface; instead, it encourages you to squat down and see the details clearly. As AI becomes more powerful, verification must be equally important, if not more so, than generation. Mira is one of the few teams that is diligently addressing this issue from the infrastructure level. In short, AI is responsible for creation, while Mira is responsible for verification. Only when creation and verification are combined can the next wave of AI truly be usable. What Mira is filling in is that layer that has been missing in the AI world.