In a breakthrough partnership, @Lagrange Official is teaming up with mira_network to lay the foundation for a trust layer in decentralized AI.
At the center of this collaboration is DeepProve, a cutting-edge cryptographic proof system that enables Mira’s verifier network to generate verifiable, privacy-preserving proofs for every AI model inference.
The Problem with Traditional Proof Systems
Proof systems in AI and computation have historically been rigid and inefficient. A single change in data or logic often required rebuilding proofs from scratch—a major bottleneck for scalable, real-world systems.
↝🔹 Dynamic SNARKs developed by the Lagrange research team—solve this by enabling evolving proofs that adapt to new data without unnecessary recomputation.
Mira: A Decentralized Verification Layer for AI
Mira is pioneering a decentralized approach to verifying AI outputs. Instead of relying on centralized black-box systems, Mira routes AI inferences through a diverse network of verifier nodes, turning model responses into auditable, consensus-verified facts.
But in an increasingly trustless world, consensus alone isn’t enough.
↝🔹 AI outputs shouldn’t just be agreed upon—they should be proven.
Key questions that demand answers:
Was the approved model actually executed?
Was the computation done correctly
Can the output be trusted on-chain?
DeepProve: Proofs that Scale with Trust
Enter DeepProve a cryptographic engine that lets AI models prove their own logic.
↝🔹 Mira checks if an AI output is true.
↝🔹 DeepProve proves it was computed correctly.
With DeepProve integrated into Mira’s verifier network, every model inference is now accompanied by a zero-knowledge (ZK) proof ensuring execution integrity without exposing private data.
Key Benefits
DeepProve unlocks powerful new capabilities for AI systems and decentralized applications:
↝🔹 Verifiable model execution
↝🔹 Privacy-preserving inference logic
↝🔹 158× faster ZK proof generation than alternative zkML libraries
Setting a New Standard for Trust in AI
This partnership is more than just technical it’s foundational.
↝🔹 Models can now prove their own outputs.
↝🔹 Agents can independently verify each inference.
↝🔹 Proofs can be directly integrated into smart contracts, oracles, and compliance frameworks.
This is trust at scale and it changes the game for decentralized AI.
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