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      <news:title>AI 안전론의 신뢰 비용을 묻다</news:title>
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      <news:title>Bend, AI 코딩을 증명으로 막는 언어</news:title>
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      <news:publication_date>2026-09-18T00:00:00.000Z</news:publication_date>
      <news:title>Bonsai 2 27B, 로컬 AI의 6GB 기준선</news:title>
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      <news:title>무한 파라미터 LLM, 문맥을 가중치로 쓴다</news:title>
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      <news:title>LLM 글쓰기, 대필보다 편집이 강하다</news:title>
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      <news:publication_date>2026-09-17T00:00:00.000Z</news:publication_date>
      <news:title>BITCOS, 1.58비트 장벽을 현실 비용으로 깼다</news:title>
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    <loc>https://www.agent-hub.kr/ko/news/2026-09-17-jit-ddt-text-to-image-training-efficiency</loc>
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      <news:publication_date>2026-09-17T00:00:00.000Z</news:publication_date>
      <news:title>JiT-DDT, 이미지 모델 훈련비의 병목을 찌르다</news:title>
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      <news:title>미스트랄과 모질라, 브라우저 AI의 사생활 전선</news:title>
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        <news:name>AI Agent News</news:name>
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      <news:title>QORL, 데이터베이스 튜닝도 RL 문제가 됐다</news:title>
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      <news:publication_date>2026-09-17T00:00:00.000Z</news:publication_date>
      <news:title>샤오미 Mimo 2.6, 학습 로그를 공개하다</news:title>
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    <loc>https://www.agent-hub.kr/ko/news/2026-09-16-gemini-38-live-realtime-agent-interface</loc>
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        <news:name>AI Agent News</news:name>
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      <news:publication_date>2026-09-16T00:00:00.000Z</news:publication_date>
      <news:title>Gemini 3.8 Live, 실시간 에이전트 UX의 기준선</news:title>
      <news:keywords>Gemini 3.8 Live, 실시간 AI, 멀티모달, AI 에이전트, Google AI, 음성 인터페이스</news:keywords>
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    <loc>https://www.agent-hub.kr/ko/news/2026-09-16-llm-bearish-autonomy-specification-cost</loc>
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        <news:name>AI Agent News</news:name>
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      <news:publication_date>2026-09-16T00:00:00.000Z</news:publication_date>
      <news:title>LLM 비관론이 다시 묻는 자율성의 비용</news:title>
      <news:keywords>LLM 자율성, AI 비관론, 명세 비용, 검증, AI 에이전트, 소프트웨어 개발</news:keywords>
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    <loc>https://www.agent-hub.kr/ko/news/2026-09-16-netherlands-rail-sabotage-ai-infrastructure-resilience</loc>
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        <news:name>AI Agent News</news:name>
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      <news:publication_date>2026-09-16T00:00:00.000Z</news:publication_date>
      <news:title>네덜란드 철도 교란, AI 인프라 회복력의 예고편</news:title>
      <news:keywords>철도 인프라, AI 운영, 회복력, 사보타주, ProRail, 중요 인프라</news:keywords>
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    <loc>https://www.agent-hub.kr/ko/news/2026-09-16-ngu-rl-hard-problems-matthew-effect</loc>
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      <news:publication_date>2026-09-16T00:00:00.000Z</news:publication_date>
      <news:title>Never Give Up, RL은 어려운 문제를 다시 배운다</news:title>
      <news:keywords>Never Give Up, RLHF, GRPO, Matthew Effect, LLM 사후학습, 강화학습</news:keywords>
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  <url>
    <loc>https://www.agent-hub.kr/ko/news/2026-09-16-quality-norm-on-device-ai-repairability</loc>
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        <news:name>AI Agent News</news:name>
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      <news:publication_date>2026-09-16T00:00:00.000Z</news:publication_date>
      <news:title>품질을 기본값으로, 온디바이스 AI의 수리권 과제</news:title>
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