Anthropic Releases FlashProve To Cryptographically Verify AI Model Behind Each Response: 14 outlets compared - NewsCord
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Anthropic unveiled FlashProve, an open-source system using cryptography to verify model origin. Aims to prevent intermediary model swapping by cryptographic proofs while hiding weights.
Anthropic released FlashProve, an open-source system that cryptographically verifies whether the AI model a user selected matches the model that actually generated a response. Anthropic researchers said they published for free on GitHub the technical specification and some working code for the system, named "FlashProve," and they described the approach as "Provable Inference." FlashProve uses cryptography from the zero-knowledge proof family so verification can be processed quickly on a user's own device without disclosing the model's weights.
FlashProve targets opaque practices in AI services, including cases where routing secretly uses a cheaper model or deploys a more capable model than advertised. Anthropic said the system is still in an early research stage and that it is "sharing interim progress rather than a completed research result."
FlashProve is based on "provable inference," a cryptographic proof that indicates that a given AI model generated a response. The goal of "provable inference" is to allow a user with limited computing resources and no information about the weights to verify that a response came from the requested model. The mechanism attaches a short proof to an AI response, so a user can confirm which model produced the answer without revealing the model's internal numbers.
FlashProve uses a cryptographic object called 'zero-knowledge succinct argument' and the provider sends, along with the response, a short proof that…
Originally published by Google News AI
