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Anthropic Unveils FlashProve for Proving Which Model Answered You

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 03/11/2026, 17:53:24 UTC.

Briefings

Anthropic released a research prototype named FlashProve, which demonstrates proof generation at approximately 110 tokens per second. This speed is achieved using the same family of hash-based proofs employed in Ethereum's ZK rollups, suggesting a potential pathway for faster verification in large language models. The study utilizes a 400B-parameter model, and the findings represent a research prototype rather than a production system.

Key points

• FlashProve achieves approximately 110 tokens per second using the same hash-based proof family as Ethereum's ZK rollups.
• The system operates on a 400B-parameter model, and the results are from a research prototype, not a production deployment.

Context

Anthropic's FlashProve represents a significant advancement in model verification speed, leveraging existing ZK proof infrastructure to potentially accelerate proof generation for large language models.

Limitations

The evidence is limited to a research prototype with a 400B-parameter model; actual performance on production systems remains unknown. The 110 tokens per second figure is a measured benchmark from the prototype, not a guaranteed production rate.

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