A feature of OpenLedger I've observed, but not heard anyone mention.

The vast majority of the AI ventures are trying to create bigger models.

OpenLedger is posing an entirely new set of questions.

So what if the problem isn't the size of the model, it's the trust of the data?

Consider what are the most useful applications of AI that are currently being developed. Medical diagnosis. Legal analysis. Financial risk assessment.

Drug discovery.

Each and every one of them hits a wall.

Not compute. Not model architecture. Data they have to really believe in.

Medical records which they cannot lawfully disclose.

Any data that is proprietary research they are not willing to reveal. Confidential Financial information.
The best information around the world is behind non-technological trust barriers.

OpenLedger's attribution system is more than just a payment mechanism. It provides for definitive provenance a chain of custody for data that for the first time makes it viable for sharing on a legally and commercially sound basis.

It's not a payment issue that it's solving.

Trust is an issue.

Relying on an infrastructure level solution, trust issues are likely to open new markets that were previously closed.

Can verifiable data provenance enable other industries where AI isn't effective today?

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