Most on-chain AI today is a trust black box: you call a model, you get an output, and you just hope it's real. The breakthrough from @OpenGradient is making AI inference cryptographically verifiable. By combining GPU nodes with zkML proofs and TEEs in their HACA architecture, the network doesn't just compute—it generates mathematical proof that the exact model ran correctly.

With 2M+ verifiable inferences and 500K+ zkML proofs already live on Base, they're turning AI into a trustless primitive. If dApps can't audit the AI they call, can decentralized AI ever truly scale?

$OPG #OPG

We post every algo signal's real result openly, and our full open track record (wins and losses) plus a free preview channel are in our bio.