⬛◼️⬛◼️⬛◼️⬛----🍜 Right now, the entire internet is a mess; whatever information you search for is all mixed together, and sometimes you can't tell which is real and which is fake. The problem with AI is how much of it is fabricated or incorrect, and no one is really overseeing it. If this situation continues to be neglected, it could become increasingly serious. Everyone knows that @Mira_Network is here to solve this "truth crisis." What it does is actually quite simple (but the technical content is off the charts). It extracts the "factual statements" from articles or AI-generated content and then sends them to a whole network composed of AI models to verify each one. The nodes run different models that independently verify each other, and in the end, we see whether the judgments on each statement are consistent. ╭─────✦✦─⋆⋅☆⋅⋆───╮ If all models say it's true → Check ✅ If they all say it's false → Cross ❌ If there's a disagreement → It's marked as "no consensus," because not everything has an absolute answer. The result is that you will see an article marked with "this statement is true, this statement is false, this statement is controversial," making the entire process much more transparent~ I personally think this is super necessary. Trusting the output of a single model is no different from going back to centralization, right? Mira's approach of "multi-signature verification" is actually closer to Web3 and can better prevent information from being manipulated by a few models or individuals~ In short, this is a direction worth looking forward to~ @KaitoAI #kaitoai