What stopped me mid-task was the gap between what OpenLedger's Proof of Attribution promises and where it actually sits right now. @OpenLedger says $OPEN rewards contributors based on real data influence — not presence, not upload count, but measurable impact on model outputs. That's the pitch for a fairer AI economy. In practice, Phase 1 is still leaderboards and Datanet uploads; the influence-function scoring that determines who actually earns is computationally intensive and not running at full resolution yet. So contributors are building context the protocol can't fully price. And with ~220 million OPEN currently circulating against a 1 billion total supply, community holders have been absorbing the price — down roughly 90% from ATH — while the team and investor cliff of roughly 330 million tokens doesn't break until around September 2026. #OpenLedger The design is genuinely thoughtful. Reliable human context as an on-chain asset is a real problem worth solving. But the sequencing quietly favors the infrastructure side — the people who built the ledger — while the contributors proving its premise are still waiting to see what their data was actually worth. Whether the attribution engine gets precise enough before the unlock pressure arrives is the question I haven't stopped thinking about.