Anthropic open-sources FlashProve for zero-knowledge verification of large model inference

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Anthropic has open-sourced FlashProve, a zero-knowledge verification tool for large model inference. The system verifies whether a response was generated by specific model weights without revealing those weights. With input from Claude, it achieved 110 tokens per second on Llama 4 Maverick using an H100 GPU. However, it required 70–95 times more GPU time than standard inference. Growing interest in zero-knowledge technology is increasing the relevance of altcoins in this space. The prototype supports up to 1,024 tokens and remains in the research phase.
ME AI message: Anthropic has released the open-source research prototype FlashProve, which uses zero-knowledge proofs to verify whether a large model’s response was generated by specified model weights, without requiring the weights to be publicly disclosed. Anthropic states that Claude contributed to improving this system; in tests with the 400-billion-parameter Llama 4 Maverick model, a single H100 GPU generates proofs at approximately 110 tokens per second, but requires 70 to 95 times more GPU time than standard inference. The prototype currently supports contexts of up to 1,024 tokens and remains in the research phase. (Source: PANews)
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