Anthropic’s FlashProve uses zero-knowledge proofs to verify large AI model outputs

The open-source research prototype proves which model produced a response without exposing its weights, though the proving overhead remains steep Every time you send a prompt to an AI model, you are trusting that the model on the other end is the one you were promised. Until now, you had essentially no way to check. Anthropic wants to change that. The company released FlashProve , a system built on a hash-based zkSNARK that can verify outputs from large language models without revealing the model’s weights.