Most AI infra projects say the system works once models are connected and data starts flowing. $OPEN exposes the part that still breaks after that.
The hard problem is proving who contributed what once inference, datasets, and fine-tuning outputs start moving across different operators. Without verifiable attribution, rewards drift toward platforms instead of contributors, and smaller builders lose leverage fast.
What stood out to me is how #OPEN keeps pushing verifiable data contribution and usage accounting directly into the network layer instead of treating it like an external dashboard problem. That changes the economics. Auditors can trace contribution paths. Builders can defend value creation without maintaining separate trust systems. Operators get cleaner settlement logic instead of endless reconciliation.
The consequence is brutal for weak infra: if attribution fails, the entire incentive layer becomes cosmetic.
OPEN doesn’t really need more narratives now. It needs proof that attribution can still hold once the network scales under pressure.