Lagrange (@LagrangeDev), a blockchain project focused on zero-knowledge proof (ZK) technology, envisions 'Prove anything, trust nothing' and builds a trustworthy ecosystem integrating AI and blockchain through core technologies such as DeepProve and ZK Prover Network. Its values revolve around 'verifiability and decentralization', and the white paper (based on public information speculation) focuses on technical architecture and scenario implementation, providing cryptographic solutions for high-trust-demand fields.
1. Core Values: Supported by 'verifiability, decentralization, innovation, and openness'.
1. Verifiability: The cornerstone of trust built on cryptography.
Lagrange regards 'result verifiability' as core, providing production-grade ZK proof solutions for AI inference, Rollup, NFT, and other scenarios through DeepProve (zkML system) and ZK Coprocessor. For example, successfully verifying OpenAI's GPT-2 inference, with a performance speed 158 times faster than existing solutions, ensuring the AI results in finance, healthcare, and other fields can be cryptographically traced back to on-chain operations, avoiding 'black-box decisions' and practicing the principle of 'transparency and reliability' in technology.
2. Decentralization: Censorship-resistant proof network.
Relying on EigenLayer's restaking mechanism and over 85 top operators, the project builds a decentralized ZK Prover Network, eliminating single-point trust risks. It balances node incentives and costs through a dual auction resource allocation (DARA) mechanism while collaborating with partners such as Coinbase and Kraken to expand the node network, ensuring a proof process that is censorship-resistant and highly secure, in line with the core spirit of Web3 decentralization.
3. Innovation and Openness: Promoting the integration of AI and blockchain.
Breaking scene boundaries through technological innovation, developing dynamic zk-SNARKs technology (proofs updated dynamically with data, reducing recomputation costs) and ZK coprocessors (supporting off-chain verifiable computing) to meet diverse needs such as cross-chain voting, credit scoring, and data-intensive dApps. The official blog frequently shares technical breakthroughs, such as integration with Arbitrum, Fraxtal, and other Rollups, embodying the pursuit of 'open ecosystem, inclusive and diverse', promoting the expansion of ZK technology from single scenarios to all fields.
4. Community Participation: Uniting the power of ecological co-construction.
Through Galxe community tasks (such as node testing, Q&A) and Turing Roulette interactive activities, users are incentivized to participate in ecological construction, enhancing community stickiness; at the same time, binding community interests with $LA tokens, allowing users to be not only users but also decision-makers and beneficiaries of ecological development, reflecting the value of 'community-driven, co-construction and sharing'.
2. White Paper Content (based on public information speculation): Focusing on three core technologies and ecological implementation.
1. DeepProve (zkML System): A breakthrough solution for AI verification.
As Lagrange's flagship product, DeepProve is the first production-ready zkML system, with its core value being the verifiability of large language model (LLM) inference. It is speculated that the white paper will elaborate on this:
• Technical Advantages: Dynamic zk-SNARKs design that supports proof adjustments with data updates, avoiding full recomputation, with efficiency improved 158 times compared to traditional solutions;
• Application Scenarios: Privacy-preserving AI training/inference (such as medical data modeling, financial risk prediction), successfully implementing OpenAI GPT-2 inference verification, with plans to cover more complex LLM models in the future.
2. ZK Prover Network: Decentralized proof infrastructure.
The distributed proof network built on EigenLayer's restaking is the core support of the ecosystem. The white paper may focus on:
• Network Architecture: Collaborating with Coinbase, Kraken, and others to build a node network, achieving rapid finality confirmation through LSC (Lagrange State Committees), currently handling 75% of zkSync outsourced proofs;
• Economic Mechanism: Dual auction resource allocation (DARA) optimizes proof costs and node incentives, ensuring high network activity and economic security, supporting AI, Rollup, application proofs, and other multi-scenario needs.
3. ZK Coprocessor: The 'accelerator' for off-chain verifiable computing.
This component provides off-chain computing + on-chain verification capabilities for data-intensive applications, and it is speculated that the white paper will emphasize:
• Technical Design: SQL-based development interface, lowering the threshold for developers and supporting flexible calls to off-chain resources;
• Ecological Integration: Already adapted for Azuki NFT verification, Gearbox DeFi risk calculation, and integrated with Arbitrum, Fraxtal, and other Rollups for cross-chain verifiable computing, addressing on-chain data processing efficiency bottlenecks.
4. $LA tokens and ecological synergy.
$LA is the core of ecological incentives and governance, and the white paper may clarify:
• Token Functions: Incentivizing proof nodes, participating in community governance, and paying for proof service fees;
• Ecological Cooperation: Collaborating with ZK projects like zkSync and Manta Network, and partnering with NVIDIA and Intel to optimize hardware acceleration, promoting the industrial application of ZK technology.
3. Summary
Lagrange builds a ZK ecosystem with values of 'verifiability, decentralization, and innovation openness' through three core technologies, filling the trust gap in the integration of AI and blockchain. Its white paper (speculated) focuses on technical implementation and scenario adaptation, showcasing competitiveness in the fields of zkML, Rollup proofs, and cross-chain computing. Currently, the project has expanded its influence through strategic cooperation and community activities but faces challenges such as rapid technological iteration and fierce competition in the ZK track. For more information, please visit the official website (lagrange.dev) or the official account (@LagrangeDev).