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      <news:title>OpenAI 자체 ASIC, GPU 의존의 끝은 아니다</news:title>
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      <news:publication_date>2026-08-25T00:00:00.000Z</news:publication_date>
      <news:title>Apple 비공개 릴레이 도메인 변경, 로그인 신뢰의 작은 균열</news:title>
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      <news:publication_date>2026-08-25T00:00:00.000Z</news:publication_date>
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      <news:title>추론 엔진 취약점, LLM이 자기 실행 호스트를 노릴 수 있다</news:title>
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      <news:title>Paint의 보이지 않는 워터마크, 로컬 AI의 프라이버시 착시</news:title>
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      <news:title>Vintage AI 컬렉션, 에이전트 환상의 오래된 뿌리</news:title>
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      <news:publication_date>2026-08-24T00:00:00.000Z</news:publication_date>
      <news:title>agent.md, 코딩 에이전트 품질의 새 계약서</news:title>
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    <loc>https://www.agent-hub.kr/ko/news/2026-08-24-anthropic-premium-model-adoption-price-pressure</loc>
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        <news:name>AI Agent News</news:name>
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      <news:publication_date>2026-08-24T00:00:00.000Z</news:publication_date>
      <news:title>Anthropic 모델 채택 부진, 가격전의 신호탄</news:title>
      <news:keywords>Anthropic, Claude, AI 가격, 모델 경쟁, 엔터프라이즈 AI, 토큰 비용</news:keywords>
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    <loc>https://www.agent-hub.kr/ko/news/2026-08-24-complex-systems-fail-ai-agent-operations</loc>
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        <news:name>AI Agent News</news:name>
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      <news:publication_date>2026-08-24T00:00:00.000Z</news:publication_date>
      <news:title>복잡계 실패론, AI 에이전트 운영의 기본 교과서</news:title>
      <news:keywords>복잡계 실패, AI 안전, 에이전트 운영, SRE, 시스템 리스크, AI 거버넌스</news:keywords>
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    <loc>https://www.agent-hub.kr/ko/news/2026-08-24-explain-like-ten-ai-expertise-education</loc>
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      <news:publication_date>2026-08-24T00:00:00.000Z</news:publication_date>
      <news:title>열 살에게 설명하기, AI 시대 전문성의 역설</news:title>
      <news:keywords>AI 교육, 설명 가능성, 전문성, 생성형 AI, 학습, 커뮤니케이션</news:keywords>
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    <loc>https://www.agent-hub.kr/ko/news/2026-08-24-google-workspace-domain-identity-agent-risk</loc>
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      <news:publication_date>2026-08-24T00:00:00.000Z</news:publication_date>
      <news:title>도메인 오판, AI 업무 에이전트의 신원 리스크</news:title>
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