What is the primary goal of AI-native Memory?

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    0
    2025-04-01T13:33:59+00:00

    The primary goal of AI-native Memory is to advance large language models (LLMs) toward artificial general intelligence (AGI) by integrating a structured memory system. This system enables deeper personalization, contextual understanding, and predictive capabilities by modeling memory in three layers: raw data (L0), natural-language descriptions (L1), and neural-network-based behavioral predictions (L2).

    0
    2025-04-01T13:34:52+00:00

    AI-native Memory is proposed as a pathway to AGI by:
    1. Enabling lifelong personal models (LPMs) that evolve with user interactions.
    2. Addressing AGI challenges like privacy and social interaction through adaptive memory systems.
    3. Bridging LLMs' static knowledge with dynamic, personalized reasoning.

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