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Mira Network bull case: multi-model consensus verification

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ThesisAIMira NetworkKlokGigabrainio.netAethir

Mira verifies AI outputs by splitting them into atomic claims checked independently by multiple models on a purpose-built L1 with hybrid PoW/PoS. Cites 4.5M users, 19M weekly queries and a claimed accuracy gain from 73% to 96%.

Key claims
4.5M users and 19M queries per week
Claims accuracy rises from 73% to 96%
$9M raised from Framework, BITKRAFT and Accel
The @miranetwork bull case summary: - Mira is a decentralized verification layer for AI outputs addressing hallucinations and bias through multi-model consensus - Transforms unstructured content into atomic verifiable claims distributed across network for independent verification - Live ecosystem with 4.5M users, 19M queries/week, 3B tokens daily across apps like @Klok_app or @GigabrainGG - Purpose-built L1 blockchain where each AI model operates as independent verification node - Hybrid PoW/PoS consensus where "work" is meaningful AI inference, nodes stake capital with $850K early node sale - Leverages premier models including GPT-4o, Llama 3.1 405B, Claude 3.5 Sonnet for verification - Claims to improve AI factual accuracy from 73% to 96% through distributed consensus - $9M funding from @hiFramework, @BITKRAFTVC, @Accel, @MechanismCap, and others - Mira SDK abstracts complexity of integrating multiple AI models, npm and Python support, while Mira Flows platform allows devs to build, publish, and monetize AI workflows - Partnered with DePIN providers @ionet, @AethirCloud, @Hyperbolic, @spheron and @exa_bits for distributed GPU compute - Every verified output includes cryptographic certificate showing claims evaluated, models used, voting results - Vision extends to synthetic foundation model with integrated verification for intrinsically error-free outputs and autonomous agents DYOR anon, TGE is close. Also linking back to the fundraising info on @miranetwork here: And my article on @miranetwork from earlier this week:
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