AI Verifiable: DeepProve makes "the model doesn't cheat" a fact that can be cryptographically proven (I'm not quite sure what verification is? Could it be? A little more secure?
Moreover, this project directly integrates AI inference results into contracts, and the key is that the cost of falsification should be low. Lagrange's zkML engine DeepProve creates a proof pipeline based on the constraint of "same model + same input = same output". The official claim states that it can achieve up to 158× acceleration compared to mainstream zkML, which means that from risk control scoring to trading signals, from privacy medical to data markets, it can finally achieve "less argument, more proof". Architecturally, DeepProve is connected to the general Prover Network, allowing it to benefit from the network's computing power and settlement advantages, while also turning AI inference into a standard "payable proof task". In short, it makes "whether AI is right or wrong" dependent on evidence, not just words.