[D16] agent persona simulation — 재사용 프롬프트 팩

_D16 · prompt_pack · 2026-04-28_

agent persona simulation — 재사용 프롬프트 5개

다음 5건 자료를 표 형태로 비교해줘. 컬럼은 출처·핵심주장·우리 사업 시사점.

참고 자료:

1. How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks — arxiv

2. Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities — arxiv

3. Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond — arxiv

이 자료들이 "agent persona simulation"에 대한 내 가설을 강화하는지 약화하는지 한 문장씩 평가해줘.

참고 자료:

1. How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks — arxiv

2. Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities — arxiv

3. Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond — arxiv

가장 영향력 있는 1건을 골라 90초 분량 보이스오버 스크립트를 써줘.

참고 자료:

1. How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks — arxiv

2. Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities — arxiv

3. Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond — arxiv

이 자료를 모르는 강의 수강생에게 5분 분량으로 풀어 설명해줘.

참고 자료:

1. How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks — arxiv

2. Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities — arxiv

3. Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond — arxiv

이 자료들 중 윤리·안전 관점에서 주의해야 할 1건을 골라 그 이유를 200자 이내로 적어줘.

참고 자료:

1. How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks — arxiv

2. Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities — arxiv

3. Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond — arxiv

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_생성: Daily Research Engine v1 · 부서 D16 · 형태 prompt_pack_