Restu

Everyone’s building AI. Very few are building the trust layer that makes AI usable. That’s why @miranetwork stands out. They’re not chasing the next biggest model - they’re solving the structural problem: AI outputs can’t be verified. Hallucinations creep in. Bias hides. Confidence isn’t equals truth. Mira fixes this with a decentralized verification network: – Break outputs into claims – Send them to multiple independent models – Reach consensus, log results onchain – Flag, reject, or warn when models disagree The results? Accuracy jumps from ~70% -> 96% Hallucinations drop by 90%+ And all of this scales - 3B+ tokens verified daily, 4.5M+ users across apps like Klok, Delphi Oracle, Astro. It’s powered by hybrid incentives: verifiers stake + run inference, get rewarded for aligning with consensus, and slashed for cutting corners. Node operators from ionet, Aethir, Hyperbolic and others provide GPU infra to keep it decentralized. Add the fact they raised $9M from Accel (their first Web3 bet in 3 years), Framework, Mechanism, Bitkraft and you see why Mira isn’t another AI wrapper. It’s a primitive for the age of AI: securing information the way Bitcoin secured value. And in a world drowning in AI noise, that might be the most valuable infra of all.