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    <loc>https://24-ai.news/ko/news/2026-06-29/allen-discoformer-density-score/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>Allen Institute: DiScoFormer — 하나의 트랜스포머로 다양한 분포의 밀도와 점수 추정</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/amd-rocm-low-latency-gemm-inference/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>AMD: ROCm 저지연 GEMM 커널로 Instinct MI355X에서 LLM 추론 최대 1.79배 가속</news:title>
    </news:news>
  </url>
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    <loc>https://24-ai.news/ko/news/2026-06-29/arxiv-agent-native-immune-system/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.28270: Agent-Native Immune System — AI 에이전트 추론에 내장된 6계층 런타임 방어</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/arxiv-tandem-rl-verifiable-rewards/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.28166: Tandem RL — 더 읽기 쉬운 사고 연쇄와 소형 모델 핸드오프를 갖춘 검증 가능한 보상</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/arxiv-toolprivacybench-agent-privacy/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.28061: ToolPrivacyBench — 도구를 사용하는 LLM 에이전트의 『필요한 만큼만』 프라이버시 측정</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/arxiv-world-model-planning-agents/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.27483: Internalizing the Future — LLM 에이전트 세계 모델 계획을 위한 통합 에이전트 학습 패러다임</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/aws-multitenant-agent-row-level-security/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>AWS: 행 수준 보안과 Split-Plane SQL 암호화 데이터 경계를 갖춘 다중 테넌트 AI 에이전트</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/aws-nova-2-lite-claude-document-pipeline/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>AWS: Nova 2 Lite와 Claude — 스캔 문서 처리를 위한 비용 최적화 파이프라인</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/github-copilot-claude-opus-4-8-fast/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>GitHub: Claude Opus 4.8 fast mode가 Copilot 프리뷰에 출시; Anthropic은 Opus 4.6의 fast 모드 종료</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/langchain-dynamic-subagents-deep-agents/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>LangChain: Deep Agents의 Dynamic Subagents — 에이전트가 수백 개의 하위 에이전트를 병렬로 디스패치하는 코드 작성</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/meta-brain2qwerty-noninvasive-text/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>Meta: Brain2Qwerty v2 — 수술적 임플란트 없이 61% 정확도로 생각을 텍스트로 비침습적 해독</news:title>
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  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/microsoft-agent-confidence-index-2026/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>Microsoft: 2026 Agent Confidence Index — 300명의 개발자, AI 에이전트에 대한 평균 신뢰도 64/100</news:title>
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  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/microsoft-memora-agent-memory-tokens/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>Microsoft Research: Memora — 토큰 최대 98% 감소와 장문 대화 SOTA를 달성하는 AI 에이전트 메모리</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/nvidia-palantir-nemotron-sovereign-ai/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>NVIDIA: Palantir과 NVIDIA Nemotron이 에어갭 시스템의 미국 기관에 주권 AI 제공</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-29/openai-europe-ai-workforce-mapping/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-29T00:00:00Z</news:publication_date>
      <news:title>OpenAI: Mapping Europe&apos;s AI Workforce — EU 노동력을 위한 AI 기회에 관한 보고서</news:title>
    </news:news>
  </url>
</urlset>
