When a16z crypto and Coinbase Ventures back the same AI infra project, it's not a coincidence — it's a signal about where institutional capital thinks verifiable compute is heading. @OpenGradient is building exactly that: the first decentralized platform for verifiable on-chain AI inference. Their Hybrid AI Computing stack (GPU nodes + zkML proofs + TEEs) makes model outputs cryptographically provable — meaning AI computations can settle on-chain without blindly trusting the operator. This matters because as AI agents increasingly execute blockchain transactions, unverifiable compute becomes a trust bottleneck that breaks crypto's core value proposition. OpenGradient addresses this by letting models run with mathematical guarantees. With 2M+ verifiable inferences already generated and a Base-native EVM architecture, this isn't just whitepaper theory. By the way, our own algo's full open track record — every win and loss — is in our bio. What's your take: does verifiable AI inference become the bottleneck for on-chain agents, or will devs tolerate unverified compute for the sake of speed? $OPG #OPG