Lagrange and AI reasoning combined, unlocking new possibilities for Web3
As AI and blockchain accelerate their integration, "verifiable AI reasoning" has become a new demand in the industry—Lagrange's zero-knowledge computing capabilities are providing key technical support for this field.
When AI models run on-chain, it is essential to ensure the credibility of the reasoning process while avoiding the leakage of model parameters or input data. Lagrange's ZK co-processor can move the AI reasoning process off-chain: for example, when a certain Web3 application uses AI to analyze user behavior data to recommend services, the co-processor can complete the reasoning calculations off-chain and then generate zero-knowledge proofs to verify on-chain—user data and model details remain confidential, yet the on-chain contract can confirm the validity of the reasoning results.
This model has attracted the attention of AI + Web3 projects. Some teams are attempting to develop decentralized AI prediction markets based on Lagrange: the AI model's prediction process for market trends is encrypted using ZK technology, with only the final conclusions and proofs uploaded on-chain, preventing the model from being maliciously imitated while allowing participants to trust the authenticity of the prediction results.
As AI applications deepen in the Web3 field, Lagrange's "verifiable computing" capabilities are expected to become the core link connecting the two, complementing the efficiency of AI with the trustworthiness of blockchain, fostering more innovative scenarios. $LA
