Here's a question I haven't seen anyone ask about OpenLedger.
We talk a lot about paying data contributors. Fair compensation. Attribution. Rewards.
But who decides what data is worth paying for?
Right now, the assumption is: if AI uses your data, you get paid. Simple.
But AI doesn't use all data equally. A dataset that improves a medical diagnosis model is worth fundamentally more than a dataset that helps autocomplete a text message.
Value in AI isn't uniform. It's contextual. It's dependent on what problem gets solved and how much that solution is worth to someone.
OpenLedger's Proof of Attribution tracks what was used. But the harder problem is pricing why it mattered.
That's not a technical problem. That's an economic one.
I haven't seen anyone seriously tackle it yet.
Do you think all data contributions should be valued equally or should the value depend on what the AI actually does with it?