Every project kept throwing it around like data is just sitting there ready to print money. But the more time I spent looking into AI systems, the more I realized how messy this stuff actually is behind the scenes.
Most datasets are scattered everywhere. Different teams, random formats, old permissions nobody remembers, duplicated info, missing context etc. Some of it is useful. Some of it is straight-up liability.
That’s Honestly why @OpenLedger idea started standing out to me recently.
I don’t even think the Biggest AI problem anymore is building smarter models. Feels like the harder problem is proving: who contributed value, who used it, and who actually deserves to get paid.
Sounds easy until agents, datasets, APIs, contributors, and companies all start interacting at the same time.
Right now most systems still run on “just trust us bro” accounting. Trust the metrics. Trust the attribution. Trust the billing.
That doesn’t scale for serious AI economies imo.
If OpenLedger can actually make AI participation measurable + accountable without turning everything into accounting hell, that’s a way bigger deal than people realize.
Could end up being coordination infrastructure, not just another AI narrative.