Here’s why we need @Mira_Network in today’s AI centric world👇 → AI outputs have roughly 30% error rates but sound convincing → Problem gets serious when you need accuracy like medical, legal, financial decisions → Mira runs AI claims through multiple models for consensus verification → Breaks responses into smaller verifiable pieces before checking → Multiple AI models vote independently on each claim's validity → Only verified claims pass through to the final output → Uses PoW for validation I.e nodes must run actual inference tasks → Validators risk losing tokens for dishonest behaviour → Privacy maintained by sharing claims, not underlying source data → No central authority deciding what counts as true → Works with existing AI systems through API integration → Enables devs to add verification layers to their applications → Economic model rewards accurate validation work → Designed for high stakes use cases where errors have real consequences → TGE incoming Current AI is powerful but unreliable. @Mira_Network works on the reliability part.