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LazAI Alpha Mainnet officially launched, ushering in the era of verifiable AI data assetization.

2025-12-22 13:37:22

METIS-5.47%

ChainCatcher news, LazAI Alpha Mainnet has officially launched, operating on enterprise-grade infrastructure, using the QBFT Consensus Mechanism, and implementing METIS-based Settlement on networks built with Metis SDK (including Hyperion). This marks the official transition of AI data from a centralized training model to a verifiable and assetizable on-chain economy. The Alpha Mainnet achieves real-time anchoring and assetization of AI interaction data—conversations and interactions of all users with AI Agents such as Lazbubu and SoulTarot will be minted into unique "Data Anchoring Tokens (DAT)", which can be transformed into on-chain assets with transparent traceability and revenue vesting through the METIS settlement layer and PoS verification mechanism, making them verifiable on-chain assets that users can hold, establishing a trustworthy foundation for the AI economy. Developers can now deploy verifiable AI Agents through LazAI Docs and the Alith framework. Meanwhile, LazAI will launch a developer incentive program with a total prize pool of 10,000 METIS, covering all stages of support from early prototypes (Ignition Grants) to mature applications (Builder Grants), and providing multi-layered ecosystem empowerment including cross-social channel promotion and user growth funding pools. As key features such as ZK privacy protection, decentralized computing market, and multimodal data assessment are gradually realized in the 2025–2026 roadmap, LazAI will continue to evolve, becoming the core platform connecting AI training, data assetization, and value settlement.

Disclaimer: The information on this page may come from third-party sources and is for reference only. It does not represent the views or opinions of Gate and does not constitute any financial, investment, or legal advice. Virtual asset trading involves high risk. Please do not rely solely on the information on this page when making decisions. For details, see the Disclaimer.

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