Finance demands transparency and verifiability, especially when AI starts handling assets, trading decisions, or risk assessments.
Onchain inference is a powerful solution: by running AI models with cryptographic proofs like ZKML or TEEs.
You get verifiable execution where anyone can confirm the inference was correct without revealing sensitive data or relying on a central provider.
@OpenGradient is indeed pushing this forward with their "Open Intelligence" vision. They're building a Layer 1 blockchain specifically for decentralized, verifiable AI:
This aligns perfectly with DeFi's ethos: no more trusting centralized oracles or opaque models, everything provable onchain.
Excited to see how this evolves transparent autonomous finance in 2026.
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Finance demands transparency and verifiability, especially when AI starts handling assets, trading decisions, or risk assessments.
Onchain inference is a powerful solution: by running AI models with cryptographic proofs like ZKML or TEEs.
You get verifiable execution where anyone can confirm the inference was correct without revealing sensitive data or relying on a central provider.
@OpenGradient is indeed pushing this forward with their "Open Intelligence" vision. They're building a Layer 1 blockchain specifically for decentralized, verifiable AI:
- Host open-source models onchain.
- Execute secure, provable inference directly from smart contracts.
- Deploy autonomous agents that settle transactions verifiably.
This aligns perfectly with DeFi's ethos: no more trusting centralized oracles or opaque models, everything provable onchain.
Excited to see how this evolves transparent autonomous finance in 2026.