When thinking about AI systems, value is built from many layers of unseen human effort—data, models, tuning, and feedback.
Projects like @OpenLedger rethink credit by tracking contributions instead of hiding them.
Even if attribution is imperfect, probabilistic graphs can estimate influence across data, models, and agent actions.$FIDA
The goal is fair, transparent value sharing so AI becomes a collective, continuously evolving system. This shifts credit from platforms to contributors.