Recently, many people have been emphasizing the importance of learning AI, but here is a key question—how reliable are the answers provided by AI?

This is exactly what I have been paying attention to. There is a project called Mira, which specializes in this: having AI review and verify each other. The idea is quite interesting; the core logic is to break down AI answers into verifiable facts and then check each one for accuracy.

I started following them even before the project issued tokens, and the reason is simple—they are doing something truly different. It’s not just about simple tool-level optimization, but about addressing the fundamental issue of AI credibility. Such an approach is still rare in Web3.

Rather than blindly trusting AI, it’s better to have a system with self-correcting capabilities. That’s true progress.