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서랜던·아인빈더 수갑 채운 뉴욕경찰…네타냐후 규탄 시위대 30여명 체포

The article discusses the challenges of creating virtual companions that can engage in long-term conversations without forgetting important details or losing their character persona. It highlights the "30-round forgetting curse" and "persona drift" issues, where AI models tend to forget user inputs and revert to a generic, robotic persona.

The article presents a solution, the DreamTalk system, which uses a four-layer memory engine to simulate human-like conversation and emotional connections. The system includes working memory, episodic memory, semantic knowledge graph, and reflection and consolidation layers to maintain long-term context and prevent persona drift.

The article also describes a "double anti-drift" mechanism that uses anchor tokens and post-generation guardrails to ensure the AI model stays in character.

Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.

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