Mira relies on collective model consensus
when think about reliable AI one limitation becomes clear is no single model can minimize both hallucinations and bias at the same time.
stronger models may hallucinate less but still carry bias.
diverse models reduce bias but may disagree on facts.
this is why Mira approach makes sense to me.
instead of relying on one model Mira combines multiple models through consensus. collective verification filters out hallucinations, while diverse perspectives balance bias. the result is not just better answer but more reliable ones.
to me this shows that trustworthy AI may depends less on individual model power and more on how models work together. @Mira - Trust Layer of AI #Mira $MIRA
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