How does Mira Network fundamentally work?
Content Decomposition (Binarization / Claim Decomposition)
Any answer or text from AI is divided into small claims that can be independently verified (for example: "X occurred on date Y", "Drug Z is 80% effective in condition such and such").
Distributed Verification
Each claim is sent to a number of Verifier Nodes.
Each node operates with a different AI model (varied by company, training, data, language, etc.) to reduce common bias.
Consensus (Consensus)
Models vote: True / False / Uncertain (sometimes multiple choice).
The network requires supermajority (large majority, like 67–90% depending on client request or type of domain: medical, legal, public...).$MIRA
If the majority is reached → the claim is accepted and a cryptographic certificate is issued to document the result + which models agreed.
Economic security (Cryptoeconomic Security)
Hybrid Proof-of-Verification (a mix of PoW + custom PoS):
Proof-of-Verification: the node must actually run the inference (not just state an opinion without work).
Proof-of-Stake: nodes stake $MIRA as collateral.
If the node cheats or deviates from consensus too much or shows a pattern indicating random guessing → slashing (cutting part of the stake).
This makes cheating very costly economically.
Why is this important?
Significantly reduces hallucinations because the likelihood of many different models agreeing on a single mistake is very low.
Provides complete auditability (all verification traceable on the network).
Allows customizable thresholds (for example: 95% for medical, 70% for public content).
Opens the door for autonomous agents and AI applications without continuous human intervention.#Mira
The future according to Mira's vision: AI will not only be smarter, but it will also be reliable and verifiable in a decentralized manner, which will make autonomous AI truly real and safe.