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Why Intelligent Filtering Is AI's Real Frontier

AI 메모리의 진짜 문제: 거대 모델이 아닌 지능형 선별

Why it matters

AI systems often retrieve semantically similar but practically useless information—a fundamental flaw that bigger models and more data cannot fix. The real problem lies in memory architecture, not data scale. This article reveals that the next frontier of AI reliability depends on intelligent filtering rather than scaling, with surprising solutions borrowed from epidemiology.

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semantic searchmemory architecturevector embeddingsknowledge filteringAI memory

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