I’m still not convinced most “AI + blockchain” projects solve real problems. A lot of them just feel like AI marketing mixed with token speculation.
But #OpenLedger caught my attention because it’s focused on something practical: AI ownership, attribution, and tracking contributions on-chain.
When using AI tools, one big question always comes up:
Who actually owns the output?
Who provided the data?
Who deserves rewards when AI creates value?
@OpenLedger is trying to solve this by creating on-chain records for models, datasets, agents, and AI activity. The attribution layer is the most interesting part to me because future AI economies may depend on proving who contributed what.
If AI agents eventually operate and transact autonomously, attribution could become more valuable than people realize.
So the real question is:
In the AI economy, what will matter most — the model, the data, or the attribution layer behind it?
