Most AI crypto projects talk about inference. @OpenGradient built an economy around it.
Their Model Hub lets devs host open-source models and earn when they're used. Think of it as an on-chain HuggingFace where usage actually pays the creator. 2,000+ models are already live with 2M+ verifiable inferences.
The economic loop is what matters: devs stake $OPG to list models, users pay $OPG for inference, node operators earn $OPG for GPU compute + zkML proofs. That's a real three-sided marketplace with aligned incentives, not just another "AI token."
With 500K+ zkML proofs generated and backing from a16z crypto and Coinbase Ventures, the infrastructure is already running on Base. Price is quiet right now (-3.6% today, $1M vol) but that's exactly when infrastructure plays deserve attention.
What would it take for you to trust an AI model running fully on-chain?
$OPG #OPG
We post every algo signal's real result openly and the full live track record + a free preview channel are in our bio/profile.
Their Model Hub lets devs host open-source models and earn when they're used. Think of it as an on-chain HuggingFace where usage actually pays the creator. 2,000+ models are already live with 2M+ verifiable inferences.
The economic loop is what matters: devs stake $OPG to list models, users pay $OPG for inference, node operators earn $OPG for GPU compute + zkML proofs. That's a real three-sided marketplace with aligned incentives, not just another "AI token."
With 500K+ zkML proofs generated and backing from a16z crypto and Coinbase Ventures, the infrastructure is already running on Base. Price is quiet right now (-3.6% today, $1M vol) but that's exactly when infrastructure plays deserve attention.
What would it take for you to trust an AI model running fully on-chain?
$OPG #OPG
We post every algo signal's real result openly and the full live track record + a free preview channel are in our bio/profile.