Something I keep coming back to with @OpenGradient $OPG #OPG the verification layer isn't really optimized for human review cycles. When you look at how inference settlement actually works — TEE attestations anchoring a cryptographic record of what model ran, on what input, producing what output — the architecture makes more sense as a trust substrate between autonomous agents than as a tool for humans auditing AI decisions. A human checking whether a model ran correctly can probably do that through other means. An AI agent deciding whether to trust a downstream inference result from another agent has no such fallback — it needs an on-chain proof, something tamper-resistant it can query without asking anyone. That's the use case the settlement design quietly anticipates. The marketplace framing positions $OPG as infrastructure for builders deploying models today, which it is, but the verification primitives being laid down seem to be solving for a coordination problem that's mostly still ahead of us. Whether the demand materializes before the architecture ages is the part I can't resolve.