🔒 Slow cross-chain speed, AI inference cannot be verified, off-chain data credibility is questionable - these are common pain points faced by current Web3 applications.
Lagrange's answer is: to build a verifiable computing network using ZK (zero-knowledge proof), allowing all computing results to be safely on-chain, quickly verified, and shared across chains.
Its technical features include:
Modular design: can seamlessly connect to any L1/L2
Cross-chain verification: can transmit trusted results without a centralized bridge
AI on-chain: provides mathematical-level proof for inference results
Re-staking security: collaborates with EigenLayer, utilizing $LA tokens to incentivize and govern the verifier network
This not only enhances the operational efficiency of Web3 applications but also brings a new revenue model to participants holding $LA - by applying for tasks and executing validations to earn transaction fee rewards.
As Web3 enters the “computational credibility” era, Lagrange may become an indispensable underlying infrastructure.
📍 Follow @Lagrange Official
💬 If one day all AI and cross-chain operations can be proven accurate, what new applications do you think will emerge? Welcome to discuss!
