Lagrange——A Trusted Bridge Between AI and Blockchain
As the blockchain narrative gradually shifts towards 'verifiable computing,' Lagrange has chosen a unique angle: making AI inference results trustworthy. We know that the computational process of large models is complex, massive, and opaque, making it difficult for users to determine whether the output is real. Lagrange's approach is to run AI off-chain and then generate a mathematical proof using zero-knowledge proof (ZKP), submitting the results on-chain. This means that users do not need to understand the model's details; they can simply verify the Proof to be confident that the results have not been tampered with.
The significance of this mechanism is immense: in the financial sector, it can make the trading signals of quantitative models transparent and trustworthy; in medical diagnosis, it can provide patients with a verifiable 'mathematical endorsement'; in DAO governance, it avoids 'algorithmic dictatorship.' In other words, Lagrange is not merely a blockchain scalability project but is building a foundational verification layer for 'the trustworthiness of AI.' With the accelerated convergence of AI and Web3, Lagrange is expected to become a key link between the two.