🫡 @Mira_Network wants to change the way of thinking to break the deadlock—rather than letting AI decide for itself, why not create a system that stands above AI, specifically responsible for verifying whether what AI says is correct or not. Everyone is talking about how powerful AI is, but the actual scenarios that can be implemented are quite limited.

Ultimately, the biggest problem with AI right now is its "unreliability"—it can produce content that seems very logical, but upon closer inspection, you often find that it contains falsehoods. This issue is manageable in chatbots, but once applied to high-risk scenarios such as healthcare, law, and finance, it becomes completely unacceptable.

Why does AI behave this way? One core reason is that it always struggles to balance between "accuracy" and "stability". If you want it to output more stably, you need to clean up the training data, which can easily introduce bias. Conversely, if you want it to be closer to the real world and cover more comprehensively, you have to include a lot of conflicting information, causing the model to become "unreliable" in its responses, which means it is prone to hallucinations.

This method is somewhat like equipping AI with a "fact checker." The AI first outputs content, and then Mira breaks this content down into small judgments, which are then verified by multiple independent models to see if these conclusions are reliable. After multiple models reach a consensus, a verification report is generated through on-chain nodes, essentially marking it as "verified."

This direction is very interesting because it does not change the "brain" of the AI, but rather provides AI with a "supervision system". If this system really runs smoothly, we may be able to confidently let AI handle more complex and higher-risk tasks in the future, such as automatically writing contracts, automatically reviewing code, or even making independent decisions. This is the true AI infrastructure.

The key is that it has a leaderboard event on @KaitoAI, and recently @arbitrum @Aptos @0xPolygon @shoutdotfun $ENERGY has also been very popular.