Every time you open ChatGPT, Gemini, or Claude, you're making a trade you never agreed to.
Your questions. Your habits. Your patterns.
They go in. They don't come back. And somewhere downstream, they become training data for a model you'll pay to use again tomorrow.
The value chain is completely broken. The data that makes these models smarter comes from us. The costs we pay go to them. We get zero stake in the system we're feeding.
This is exactly what @OpenGradient is building against.
Instead of your context living on someone else's server, the setup is decentralized. Your data, your models, your agents in a structure where ownership is verifiable, not just promised in a terms-of-service nobody reads.
Every inference generates a cryptographic proof. You know what model ran. You know what input it used. You get a receipt, not just an answer.
That changes everything. Instead of "trust us," you get math that proves it.
Will it be easy? No. Decentralized compute has real challenges cost, speed, scale. Convenience is a powerful competitor.
But convenience built on your data without consent isn't serving you. It's just comfortable extraction.
$OPG is the economic layer that makes ownership real not as a slogan, but as an on-chain, verifiable fact.