Anthropic open-sources the zero-knowledge proof system FlashProve for AI verification.

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Anthropic has open-sourced FlashProve, a zero-knowledge proof system for verifying AI inference. The tool enables verification of outputs without requiring model weights or re-running the model. On-chain news highlights the integration of AI and crypto in this development. Alessandro Chiesa and Claude contributed to the project. Proof generation on a GPU is 70–95 times slower than standard inference. A single H100 GPU can process approximately 110 tokens per second for Llama 4 Maverick, with each proof totaling around 19 MB.

Odaily Planet Daily reports that Anthropic has released FlashProve, an open-source AI inference verification system based on zero-knowledge proofs (zkSNARKs), with research contributions from StarkWare co-founder Alessandro Chiesa. The system employs cryptographic methods derived from blockchain ZK technology, enabling users to verify whether AI outputs were generated by a specified model without needing access to the model weights or re-running the model.

Anthropic stated that Claude participated in system optimization, and the related code and Lean formal proofs have now been open-sourced. The system is still in the research prototype stage, with GPU time costs for proof generation ranging from 70 to 95 times that of standard inference.

Testing shows that FlashProve can generate proofs for Meta’s 400-billion-parameter Llama 4 Maverick model at approximately 110 tokens per second on a single H100 GPU, with each proof sized at about 19 MB.

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