I was lying in bed, just casually asking the AI, "Any recent in-depth articles on blockchain governance you recommend?" The AI quickly spitted out a string of results: beautiful titles, sharp perspectives, well-written summaries, even highlighting the key points. I was quite impressed, thinking, "How easy!" But by the third article, I suddenly felt something was off— The perspectives of these articles were all remarkably consistent: Either "decentralization will change the world" or "public chain governance is a joke." It was all dreamy or all critical. Where were the data-driven, argumentative analyses? Not a single one. My heart skipped a beat. This thing wasn't "helping me find information," it was "helping me choose a stance." So I asked the AI a different question, trying to find a different perspective. The result? The AI politely "optimized" my needs again, pushing the same old narrative back to me. At that moment, I suddenly remembered a point made by @Mira_Network: AI bias is more terrifying than AI hallucinations. Hallucinations can at least be debunked; a simple investigation reveals they're false. But what about bias? It's like a frog in boiling water, slowly "seasoning" your information world until you don't even notice anything's wrong. By the time you realize it, you've already grown accustomed to that "single world" modified by AI. So now I'm truly a little scared: AI isn't saving me time, but is gradually rewriting the way I understand the world. And this is why @Mira_Network is so popular on @KaitoAI's list: It's not about AI making a few typos, but about how AI is gradually "shaping" our view of the world. @arbitrum @Aptos @0xPolygon @shoutdotfun $ENERGY