李财之道 蓝鸟会
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《@Lagrange Official Weaving a Trust Network with ZK: DeepProve Makes AI Inference Verifiable》
When the results output by AI cannot prove that they have not been tampered with, and when cross-chain computation always gets stuck in the 'who will guarantee it' stage, @Lagrange Official arrives with its ZK toolbox. This Web3 project focused on zero-knowledge proofs has embedded the term 'verifiable' into the very fabric of blockchain—decentralized ZK proof networks support over 85 operators (including Coinbase and Kraken), and the ZK coprocessor makes on-chain queries as simple as using SQL. The most impressive part is DeepProve, this zkML engine accelerates AI proof speeds by 158 times, effectively providing cryptographic guarantees that 'what AI says is the truth.'
The $LA token is the 'knot' of this trust network. Want to grab proof tasks as a node? Stake LA as collateral first; if you fail to provide proof on time, money will be deducted. Developers using API for proof services? Pay LA as a fee; if the community wants to change network rules? Holding $LA allows you to vote. With a total supply of 1 billion and only 4% released annually, part of it will also be burned, effectively tying token value to actual usage. Now chains like ZKsync and AltLayer rely on it for cross-chain proofs, and DeFi protocols directly send queries to it for historical data, bringing proofs back on-chain without worrying about data manipulation.
Understanding developers' pain: no need to tackle ZK math textbooks, just call the API. Previously, there was an AI project needing to verify model outputs, and without DeepProve, it took three months to build proof circuits, with a high chance of errors; now, integrating it allows you to run smoothly within a day, and proof results are verified on-chain in seconds. With $17.2 million in funding backed by Founders Fund and EigenLayer, this is no small endeavor.
@Lagrange Official also does not hide risks: nodes cannot attempt monopoly as the DARA dual auction mechanism will distribute tasks evenly; smart contract integrations need to be closely monitored as the cost of errors can be significant. However, compared to 'blind trust without proof,' the 'cryptographic level of reliability' it provides is exactly what blockchain should embody.
#lagrange
When the results output by AI cannot prove that they have not been tampered with, and when cross-chain computation always gets stuck in the 'who will guarantee it' stage, @Lagrange Official arrives with its ZK toolbox. This Web3 project focused on zero-knowledge proofs has embedded the term 'verifiable' into the very fabric of blockchain—decentralized ZK proof networks support over 85 operators (including Coinbase and Kraken), and the ZK coprocessor makes on-chain queries as simple as using SQL. The most impressive part is DeepProve, this zkML engine accelerates AI proof speeds by 158 times, effectively providing cryptographic guarantees that 'what AI says is the truth.'
The $LA token is the 'knot' of this trust network. Want to grab proof tasks as a node? Stake LA as collateral first; if you fail to provide proof on time, money will be deducted. Developers using API for proof services? Pay LA as a fee; if the community wants to change network rules? Holding $LA allows you to vote. With a total supply of 1 billion and only 4% released annually, part of it will also be burned, effectively tying token value to actual usage. Now chains like ZKsync and AltLayer rely on it for cross-chain proofs, and DeFi protocols directly send queries to it for historical data, bringing proofs back on-chain without worrying about data manipulation.
Understanding developers' pain: no need to tackle ZK math textbooks, just call the API. Previously, there was an AI project needing to verify model outputs, and without DeepProve, it took three months to build proof circuits, with a high chance of errors; now, integrating it allows you to run smoothly within a day, and proof results are verified on-chain in seconds. With $17.2 million in funding backed by Founders Fund and EigenLayer, this is no small endeavor.
@Lagrange Official also does not hide risks: nodes cannot attempt monopoly as the DARA dual auction mechanism will distribute tasks evenly; smart contract integrations need to be closely monitored as the cost of errors can be significant. However, compared to 'blind trust without proof,' the 'cryptographic level of reliability' it provides is exactly what blockchain should embody.
#lagrange
Disclaimer: Includes third-party opinions. No financial advice. May include sponsored content. See T&Cs.
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