The cornerstone of trust in the AI era! LA token reconstructs the Web3 infrastructure, DeepProve model ignites developer excitement

OpenAI is panicking! The LA token transforms AI output into 'smart crude oil', DeepProve enables AI to understand blockchain

While traditional oracles are still selling API interfaces, Lagrange's LA token directly turns 'off-chain computation' into a verifiable economic asset, redefining Web3 infrastructure. In July 2025, its AI model DeepProve will be open-sourced on GitHub, supporting natural language queries for on-chain data, with perplexity 30% lower than GPT-4, processing an average of 240 million verification requests daily, becoming an essential tool for DeFi risk assessment and on-chain analysis.

Technical breakthrough analysis:

The four-layer architecture of the LA token is known as the 'industrial mother machine' of Web3 data infrastructure:

• Data layer: Supports real-time access to over 200 blockchains, ensuring data immutability through zk-proof, storage solutions compatible with Arweave, S3, etc., reducing costs by 40%.

• Consensus layer: Utilizes EigenLayer's re-staking mechanism, confirming transactions in 2 seconds, with witch attack resistance 5 times stronger than traditional PoS.

• Execution layer: CVM virtual machine supports parallel computing, with a peak throughput of 10,000 TPS, capable of simultaneously processing mixed loads such as DeFi lending, NFT minting, and AI inference.

• Co-processing layer: Collaborates with NVIDIA to build a distributed GPU network, reducing the computing cost of training the DeepProve model by 70%, and increasing model iteration speed by 3 times.

Even more astonishing, the data monetization mechanism of the LA token allows developers and validators to form a community of shared interests:

• Developers define verification rules through the Manuscript protocol, earning LA token shares based on usage;

• Validators stake LA tokens to participate in data verification, with annual returns of 12-18%;

• Users consume LA tokens to query data, with 5% of fees automatically destroyed, creating a deflationary cycle.

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