@OpenGradient the inference came back fast. That part worked fine for me.
But what I kept staring at was the proof trail. It showed up a few seconds after the answer. So technically nothing failed. But 'that gap', even if it was a small one, is the tension $OPG is sitting inside permanently.
Users usually don't wait for proof. They wait for the answers.
Which is a fine thing for casual apps. But it's a problem the moment you're building something that needs the output to be trusted —For Example a DeFi risk model, an autonomous agent making decisions, a contract that acts on AI input.
In all these cases, the answer and the proof should not feel like two separate events.
The whole value of verifiable inference only lands if the proof arrives before the system moves on.
This is what I'd actually watch as a Go signal for OpenGradient adoption. Not a total inference count. Also not the model hub growth. The question is whether builders will start treating the proof as part of the output, or they will keep treating it as a footnote they check later.
If it's still a footnote six months from now, the use cases that actually need verification will route around it.
If it becomes standard, that changes everything about what OPG is actually being used for.
#OPG $OPG
The Biggest Question that I want to ask you all is:
What matters more for verified AI?