Most AI teams can't tell you exactly what their model was trained on, and that's not a knowledge gap, it's an infrastructure one.

Hugging Face solved data access brilliantly, getting datasets in front of researchers at scale when that was the right problem to solve.

The next problem is verifiability, not just where the data came from but who verified it and whether you can trace what actually shaped your model.

Read more here on how Cluster Protocol's private AI infra stack is built around this.