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Here’s what makes @Mira_Network spicy👇
→ Most AIs hallucinate. Mira doesn’t just take their word for it.
Every output is broken into micro-claims and verified across multiple independent models.
→ If they all agree, the answer gets the greenlight ✅
If not? It gets tossed out
→ Onchain logging means every verified output is traceable.
→ Think of Mira less like an AI model… and more like a referee. It’s not here to compete. it’s here to ensure fair play.
→No need for constant human oversight. Mira handles the heavy lifting, making AI actually usable at scale.
My thoughts:
This “trust layer” narrative is exactly what AI infra needs.
We’ve scaled models, now we need to scale accountability.
And if Mira can referee edge cases too? That’s championship material.


3 أغسطس، 02:00
Most AI models still expect you to trust their output blindly.
When they hallucinate or go biased, you’re on your own.
@Mira_Network flips that completely.
Every AI output gets broken into smaller claims and verified across multiple independent models.
Only when there's consensus, it gets approved and the result is logged onchain.
No single point of failure. Just verified answers.
This setup has already shown accuracy improvements from ~70% to 95%+ in real-world use cases like healthcare, finance, and research.
And since it removes the need for constant human oversight,
it finally makes AI usable at scale - without supervision.
Mira isn’t trying to replace models. They’re building the trust layer that lets you use them safely.

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