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Building a Cross-AI Large Model "Privacy Memory Layer", ZetaChain Shapes New AI Experience with Multi-Model Aggregation Application Anuma

ZetaChain has launched its 2.0 upgrade, introducing a privacy-focused "Private Memory Layer" designed to unify AI interactions across multiple models. This layer allows users to retain, encrypt, and carry over conversation context seamlessly between different AI platforms, such as ChatGPT and Claude, without losing history or compromising privacy. Accompanying the upgrade is Anuma, a multi-model AI application currently in private beta, which leverages ZetaChain’s decentralized infrastructure to offer end-to-end encrypted, user-controlled conversations. By combining blockchain-based security with AI interoperability, ZetaChain aims to solve issues of data fragmentation and centralization in current generative AI services, offering users greater control, continuity, and privacy.

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