I've been thinking about something that feels obvious once you notice it, but rarely gets said directly in the AI space.
Most of the people who built the foundation of modern AI — the data contributors, the labelers, the domain experts whose knowledge got absorbed into training pipelines — have no traceable link to the value their work created. The model learned from them. The credit stopped there.
That's not a licensing problem. It's an infrastructure problem. There was never a system designed to track contribution at the level where value actually moves.
What makes @OpenLedger interesting to me isn't the AI agent narrative. It's the Proof of Attribution layer — the idea that contribution can be traced and rewarded as it happens, not settled retroactively by a platform deciding who deserves what.
Whether that holds at scale is still the real question. Attribution across millions of inputs, anonymous contributors, and overlapping datasets is genuinely hard to get right.
But building the infrastructure to even attempt it feels like the right problem to be working on.#openledger $OPEN @OpenLedger $EDEN $RIVER