I Think I Just Found the Darkest Trade in AI
@OpenLedger I used to believe attribution was about fairness. Now I think it’s about something colder.
OpenLedger isn’t just building a ledger for contributions. It’s building a backdoor market for the forgotten. Every piece of training data that disappears from conversation but keeps working inside a model? That’s not a loss. That’s a latent claim. And I can’t stop thinking about who gets to cash it.
Here’s the thriller part. A contributor sells their old, ignored dataset for a flat fee. Years later, that dataset is still shaping model outputs worth millions. But the original owner is gone. The rights? Still attached to the data on-chain. Now a fund buys those rights for pennies, waits for the model to commercialize, and triggers settlement. The fund wins. The contributor lost before they even knew the game changed.
I don’t know if OpenLedger designed this on purpose. Doesn’t matter. Once attribution becomes persistent and machine-readable, secondary markets will price forgotten uncertainty. And I’m not sure that’s fairness anymore. It’s just leverage with a timestamp.
The question isn’t whether this market emerges. It’s whether I’ll be buying or selling when it does.