When AI Meets ZK, LA is Restructuring the Foundation of Trust in Web3
Lagrange, with $LA , has provided the ultimate solution—using a decentralized ZK proof network to equip AI with a 'anti-counterfeiting label', allowing cross-chain interactions to achieve 'mathematically verifiable trust'. As a Web3 infrastructure focused on zero-knowledge proofs, it is breaking the dichotomy between 'computational efficiency' and 'result reliability' with technology.
The core competitiveness of @Lagrange Official lies in the 'dual-engine drive': The ZK Prover Network consists of over 85 nodes, including giants like Coinbase and Kraken, supporting a TVL of 4 billion dollars and capable of generating 3.75 million efficient proofs; the flagship product DeepProve is the fastest zkML system, 158 times faster than its peers, making AI inference results verifiable and tamper-proof. For developers, this means that putting complex AI models on-chain is no longer a challenge, and the content generated by generative AI can be accurately verified for authenticity.
The $LA token is the 'pass' for the ecosystem: Staking $LA can bid for proof generation tasks, earning network fees and rewards; token holders can participate in governance, deciding on network parameter adjustments. Currently, it supports over 35 public chains and collaborates with EigenLayer to strengthen the re-staking mechanism, maximizing security and decentralization.
@Lagrange Official is using ZK technology to equip Web3 with a 'trust chip'. #lagrange is not a single tool, but an underlying protocol that enables trustworthy operation of AI, cross-chain, and DeFi. While others are still grappling with 'can AI results be trusted', it has already provided the answer with mathematical proof.
