⭐️ @Mira_Network is tackling what both Web3 and AI are missing: a reliable verification layer. Instead of building another AI model, Mira focuses on one thing making sure AI outputs can be proven, traced, and trusted. Here’s how they’re doing it, with 10 strategic integrations: ➢ @gaib_ai: Turns GPU power into on-chain assets; Mira verifies the compute. ➢ @lagrangedao: Uses zkML to prove AI results without exposing raw data. ➢ @Gaianet_AI:Decentralized AI inference; Mira plugs in for result verification. ➢ @thinkagents: Standardizes agent frameworks; Mira ensures logic integrity. ➢ @storachanetwork: Stores verified AI outputs on Filecoin, tamper-proof. ➢ @monad: High-speed L1 where Dapps can run AI with built-in trust checks. ➢ @kernel_dao: Collaborates with Mira to run verified AI compute on BNB. ➢ @plumenetwork: Focused on RWA; Mira adds AI-based risk checks with validation. ➢ @mantis: Lets users build trading bots; Mira reviews strategies for bias/errors. ➢ @0xAutonome: Secures agent communication; Mira prevents tampering. Mira isn’t chasing AI hype : it’s building the trust infrastructure every AI system will eventually need.
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