This is very significant for scenarios that require extremely high sensitivity to data. Whether it is for on-chain credit scoring or handling medical data, DeepProve-1 can provide an efficient and trustworthy foundational layer. This capability of "trustworthy AI" is gradually becoming the core infrastructure for the next generation of Decentralization applications.


DeepProve-1 is not the only thing being done. Their bigger layout is in cross-chain state proofs - you can think of it as the "connection layer" in a modular blockchain architecture. Currently, in the industry, Celestia is handling data availability, EigenLayer is working on re-staking, and Ethereum is responsible for settlement, but how do we connect these modules securely and efficiently? Lagrange's proof mechanism plays a key role here. It not only provides light client verification for Rollups, but also interacts with Celestia's DA proofs and even integrates with EigenLayer's economic security model.
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