Today, with AI everywhere and ZK concepts prevalent, there are very few projects that truly combine and implement both. What I have been paying the most attention to recently is @Lagrange Official @lagrangedev
What they are doing is neither a speculative L2 in ZK narratives nor some hollow AI platform; it is genuinely addressing the issue of 'AI model verifiability'. You may not realize: the 'black box' nature of AI is almost a sin in the on-chain world. Running AI models on-chain is not only costly, but more critically, no one knows if it is executing genuinely.
Lagrange's product DeepProve uses zkML technology to enable the execution results of models to be encrypted and verifiable while maintaining the confidentiality of input privacy and model parameters. This means you can prove that the model has not been tampered with, has not been attacked, and that the input and output are real and trustworthy.
This has significant implications for on-chain AI, L2 scaling, and even DePIN/DeAI directions.
From financing background to ecological cooperation (including @eigenlayer, Mantle, Base, etc.), and the progress of the testnet Euclid and AVS launch, Lagrange is transforming the 'ZK Coprocessor' track from concept to reality.
More importantly, Lagrange has launched $LA a token, #lagrange and $LA is starting ecological construction as the main axis of network incentives and governance— and the airdrop method is very 'conscientious'.
In this cycle, the real bridge connecting ZK and AI is likely @Lagrange Official @lagrangedev
#lagrange #la #lagrange and $LA
