Was checking @OpenLedger on chain governance structure earlier specifically the GOPEN conversion flow, where holders have to wrap $OPEN into a separate governance token before they can even propose anything.

The ~1 week voting window is public record in the Governor contract. Simple enough on paper.

But hold up the thing that actually stuck with me isn't the governance design itself. It's what's sitting upstream of it. #OpenLedger markets Proof of Attribution as this equalizing force, the idea that every data contributor gets traced and rewarded.

The YouTube for AI training data. Sounds clean.

What I noticed is the reward routing depends entirely on inference volume model outputs have to call the Datanet, PoA tracks influence, then OPEN flows back.

Meaning the contributors who benefit first aren't the ones with the most data or the best data. They're the ones whose Datanets are attached to models that are actually being queried.

Attribution without inference demand is just a ledger entry nobody's reading.

The 2 million OPEN Yapper Arena prize pool, the OpenCircle $25M launchpad, even the OpenFin DeFAI teaser from March all of it is pointed at building that demand side. Which I get.

I just wonder... when real enterprises eventually start paying for inference at scale, which Datanets will have enough contribution history to claim meaningful attribution? The ones that got seeded early, probably. And who seeds early? That question kind of hangs there for me.