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      <news:title>arXiv:2606.26935: dobici CoT treninga slijevaju se u jače predviđanje akcije, a ne u dublje rezoniranje agenata</news:title>
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      <news:title>GitHub: MAI-Code-1-Flash, Microsoft&apos;s coding model, now generally available in Copilot Business and Enterprise plans</news:title>
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      <news:title>AMD: Resource Manager verdrängt automatisch inaktive GPU-Workloads und gibt Ressourcen an den Cluster-Pool zurück</news:title>
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      <news:title>arXiv:2606.26935: CoT-Trainingsgewinne fließen in stärkere Aktionsvorhersage, nicht in tieferes Agenten-Reasoning</news:title>
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      <news:title>arXiv:2606.26806: EVAF konsolidiert Agentenspeicher in Modellparameter für Zielbeständigkeit nach Kontextlöschung</news:title>
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    <loc>https://24-ai.news/de/news/2026-06-28/arxiv-reasoning-tokens-failure-divergence/</loc>
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      <news:title>arXiv:2606.26502: Reasoning-Modelle verbrauchen mehr Tokens bei Fehlern – im Gegensatz zu Menschen, die aufgeben</news:title>
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  <url>
    <loc>https://24-ai.news/de/news/2026-06-28/github-copilot-agentic-harness-benchmark/</loc>
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      <news:title>GitHub: Copilot Agentic Harness erreicht Vendor-Niveau mit geringerem Token-Verbrauch über 20+ Frontier-Modelle</news:title>
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    <loc>https://24-ai.news/de/news/2026-06-28/github-mai-code-1-flash-copilot-ga/</loc>
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  <url>
    <loc>https://24-ai.news/zh/news/2026-06-28/amd-rocm-gpu-workload-preemption/</loc>
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      <news:title>AMD: Resource Manager 自动抢占空闲 GPU 工作负载，将资源归还集群共享池</news:title>
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      <news:title>arXiv:2606.26935: CoT 训练收益流向更强的动作预测，而非更深的智能体推理</news:title>
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    <loc>https://24-ai.news/zh/news/2026-06-28/arxiv-evaf-parametric-agent-memory/</loc>
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      <news:title>arXiv:2606.26806: EVAF 将智能体记忆固化入模型参数，在上下文清除后保持目标持久性</news:title>
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  <url>
    <loc>https://24-ai.news/zh/news/2026-06-28/arxiv-reasoning-tokens-failure-divergence/</loc>
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      <news:title>arXiv:2606.26502: 推理模型在出错任务上消耗更多 token，与人类放弃的行为相反</news:title>
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  <url>
    <loc>https://24-ai.news/zh/news/2026-06-28/github-copilot-agentic-harness-benchmark/</loc>
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      <news:title>GitHub: Copilot 智能体 harness 在 20 余款前沿模型上达到供应商 harness 水平，且 token 消耗更低</news:title>
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  <url>
    <loc>https://24-ai.news/zh/news/2026-06-28/github-mai-code-1-flash-copilot-ga/</loc>
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      <news:title>GitHub: MAI-Code-1-Flash，微软编程模型，现已在 Copilot Business 和 Enterprise 方案中正式发布</news:title>
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  <url>
    <loc>https://24-ai.news/ja/news/2026-06-28/amd-rocm-gpu-workload-preemption/</loc>
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      <news:title>AMD: Resource Managerが非アクティブなGPUワークロードを自動的にプリエンプションしクラスタの共有プールにリソースを返還</news:title>
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      <news:title>arXiv:2606.26935：CoTトレーニングの恩恵はより深い推論ではなくより強い行動予測として現れる</news:title>
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      <news:title>arXiv:2606.26806：EVAFがエージェントの記憶をモデルパラメータに統合しコンテキスト削除後も目標を維持</news:title>
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  <url>
    <loc>https://24-ai.news/ja/news/2026-06-28/arxiv-reasoning-tokens-failure-divergence/</loc>
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      <news:title>arXiv:2606.26502：推論モデルは失敗したタスクにより多くのトークンを消費し、諦める人間とは逆の傾向を示す</news:title>
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  <url>
    <loc>https://24-ai.news/ja/news/2026-06-28/github-copilot-agentic-harness-benchmark/</loc>
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      <news:title>GitHub: Copilot agenticハーネスが20以上のフロンティアモデルにわたってベンダーハーネス水準の性能を達成し、より少ないトークン消費を実現</news:title>
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      <news:title>GitHub: MAI-Code-1-Flash、MicrosoftのコーディングモデルがCopilot BusinessおよびEnterpriseプランで一般提供開始</news:title>
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  <url>
    <loc>https://24-ai.news/ko/news/2026-06-28/amd-rocm-gpu-workload-preemption/</loc>
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      <news:publication_date>2026-06-28T00:00:00Z</news:publication_date>
      <news:title>AMD: Resource Manager, 비활성 GPU 워크로드를 자동 선점하여 클러스터 공유 풀에 자원 반환</news:title>
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  <url>
    <loc>https://24-ai.news/ko/news/2026-06-28/arxiv-cot-training-action-prediction/</loc>
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      <news:publication_date>2026-06-28T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26935: CoT 훈련의 이득은 깊은 에이전트 추론이 아닌 행동 예측 강화로 귀결</news:title>
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  <url>
    <loc>https://24-ai.news/ko/news/2026-06-28/arxiv-evaf-parametric-agent-memory/</loc>
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      <news:publication>
        <news:name>24 AI</news:name>
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      <news:publication_date>2026-06-28T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26806: EVAF, 컨텍스트 삭제 후에도 목표를 유지하는 에이전트 파라메트릭 메모리 통합</news:title>
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  <url>
    <loc>https://24-ai.news/ko/news/2026-06-28/arxiv-reasoning-tokens-failure-divergence/</loc>
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      <news:publication>
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      <news:publication_date>2026-06-28T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26502: 추론 모델은 틀린 문제에 더 많은 토큰 소비 — 포기하는 사람과 반대 패턴</news:title>
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  <url>
    <loc>https://24-ai.news/ko/news/2026-06-28/github-copilot-agentic-harness-benchmark/</loc>
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        <news:name>24 AI</news:name>
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      <news:title>GitHub: Copilot 에이전트 하니스, 20개 이상의 프론티어 모델에서 벤더 하니스 수준 달성 및 토큰 사용량 절감</news:title>
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  <url>
    <loc>https://24-ai.news/ko/news/2026-06-28/github-mai-code-1-flash-copilot-ga/</loc>
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      <news:title>GitHub: MAI-Code-1-Flash, 마이크로소프트의 코딩 모델, 이제 Copilot Business 및 Enterprise 플랜에서 일반 제공</news:title>
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    <loc>https://24-ai.news/hr/news/2026-06-27/amd-mi355x-mxfp4-quantization/</loc>
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      <news:title>AMD: MXFP4/MXFP6 mixed-precision kvantizacija na MI355X — do 29% veći throughput</news:title>
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    <loc>https://24-ai.news/hr/news/2026-06-27/anthropic-api-rate-limits-three-tiers/</loc>
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      <news:title>Anthropic: API rate limiti podignuti — Sonnet i Haiku sad na razini Opusa, tri tiera</news:title>
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  <url>
    <loc>https://24-ai.news/hr/news/2026-06-27/anthropic-economic-index-cadences/</loc>
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      <news:title>Anthropic: Economic Index otkriva ritmove i obrasce korištenja AI-ja kroz dan</news:title>
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  <url>
    <loc>https://24-ai.news/hr/news/2026-06-27/arxiv-autoformalization-agent-policy-code/</loc>
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      <news:title>Anthropic：API速率限制提升——Sonnet和Haiku与Opus同等，三个层级</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/anthropic-economic-index-cadences/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>Anthropic经济指数：揭示全天AI使用的节律与模式</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/arxiv-autoformalization-agent-policy-code/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26649: AI代理指令转换为形式化验证的策略即代码</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/arxiv-capability-frontier-benchmarks/</loc>
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      <news:publication>
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        <news:language>zh</news:language>
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      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26836: 标准基准遗漏了82%的AI模型真实能力</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/arxiv-co-failure-ceiling-llm-ensembles/</loc>
    <news:news>
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        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
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      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.27288: 组合LLM何时真正有效——67个前沿模型的共同失败上限</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/arxiv-egg-expert-guided-kernels/</loc>
    <news:news>
      <news:publication>
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        <news:language>zh</news:language>
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      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26758: EGG——多代理框架生成GPU内核比PyTorch快2.13倍</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/arxiv-leanguard-fast-content-moderation/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
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      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26686: LeanGuard——无需思维链的快速内容审核媲美重量级推理器</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/arxiv-semantic-early-stopping-agents/</loc>
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      <news:publication>
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        <news:language>zh</news:language>
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      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.27009: 语义早停将代理循环成本降低38%</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/aws-stripe-ai-agents-financial-compliance/</loc>
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        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>AWS：Stripe部署100+个AI代理用于金融合规——来自生产环境的经验教训</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/claude-code-2-1-195/</loc>
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        <news:language>zh</news:language>
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      <news:title>Anthropic：Claude Code v2.1.195——禁用鼠标、改进语音听写和钩子修复</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/github-desktop-3-6-worktrees-copilot/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>GitHub：Desktop 3.6引入Git工作树和AI合并冲突解决</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/google-gemini-nano-frozen-mtp-pixel/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>Google：冻结多令牌预测使Pixel上的Gemini Nano推理速度提升50%以上</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/langchain-deep-agents-prompt-caching/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>LangChain：Deep Agents框架中的提示缓存降低长期代理延迟</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-06-27/openai-gpt-5-6-sol-preview/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>OpenAI：GPT-5.6 Sol预览发布——编码、科学与网络安全</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/amd-mi355x-mxfp4-quantization/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>AMD: MI355XでMXFP4/MXFP6混合精度量子化 — スループット最大29%向上</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/anthropic-api-rate-limits-three-tiers/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>Anthropic：APIレート制限を引き上げ — SonnetとHaikuがOpusと同水準に、3段階のティア制</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/anthropic-economic-index-cadences/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>Anthropic：Economic IndexがAI利用の日常的リズムとパターンを明らかに</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/arxiv-autoformalization-agent-policy-code/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26649: エージェントへの指示を形式検証済みのpolicy-as-codeに変換</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/arxiv-capability-frontier-benchmarks/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26836: 標準ベンチマークはAIモデルの実力の82%を見落としている</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/arxiv-co-failure-ceiling-llm-ensembles/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.27288: LLMアンサンブルが実際に効果的な場合——67のフロンティアモデルでco-failure ceiling検証</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/arxiv-egg-expert-guided-kernels/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26758: EGG——マルチエージェントフレームワークがPyTorch比2.13倍高速なGPUカーネルを生成</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/arxiv-leanguard-fast-content-moderation/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26686: LeanGuard——chain-of-thoughtなしの高速コンテンツモデレーションが重量級推論モデルに匹敵</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/arxiv-semantic-early-stopping-agents/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.27009: 意味的早期停止でエージェントループのトークンコストを38%削減</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/aws-stripe-ai-agents-financial-compliance/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>AWS：Stripeが金融コンプライアンス向けに100以上のAIエージェントを本番稼働——現場からの教訓</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/claude-code-2-1-195/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>Anthropic：Claude Code v2.1.195——マウス無効化、音声ディクテーション改善、フックの修正</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/github-desktop-3-6-worktrees-copilot/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>GitHub：Desktop 3.6がGit worktreesとAIによるマージコンフリクト解決を導入</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/google-gemini-nano-frozen-mtp-pixel/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>Google：凍結マルチトークン予測でPixelのGemini Nanoが50%以上高速化</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/langchain-deep-agents-prompt-caching/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>LangChain：Deep AgentsフレームワークのプロンプトキャッシングでLLMエージェントの遅延を削減</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-06-27/openai-gpt-5-6-sol-preview/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>OpenAI：GPT-5.6 Solをプレビューで発表——コーディング・科学・サイバーセキュリティ</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-27/amd-mi355x-mxfp4-quantization/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>AMD: MI355X에서 MXFP4/MXFP6 혼합 정밀도 양자화로 처리량 29% 향상</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-27/anthropic-api-rate-limits-three-tiers/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
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      <news:title>Anthropic: API 속도 제한 상향 — Sonnet·Haiku가 Opus 수준으로, 3단계 티어 도입</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-27/anthropic-economic-index-cadences/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>Anthropic: Economic Index, 하루 중 AI 활용 리듬과 패턴 분석</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-27/arxiv-autoformalization-agent-policy-code/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26649: AI 에이전트 지침을 형식적으로 검증된 정책 코드로 자동 변환</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-27/arxiv-capability-frontier-benchmarks/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
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      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26836: 표준 벤치마크, AI 모델 실제 능력의 82%를 놓치고 있다</news:title>
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  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-27/arxiv-co-failure-ceiling-llm-ensembles/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.27288: LLM 앙상블이 실제로 도움이 될 때 — 67개 프론티어 모델의 공동 실패 천장</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-27/arxiv-egg-expert-guided-kernels/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26758: EGG — 다중 에이전트 프레임워크, PyTorch보다 2.13배 빠른 GPU 커널 생성</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-27/arxiv-leanguard-fast-content-moderation/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.26686: LeanGuard — CoT 없이 빠른 콘텐츠 모더레이션으로 무거운 추론 모델과 대등</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-27/arxiv-semantic-early-stopping-agents/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>arXiv:2606.27009: 의미론적 조기 중단으로 에이전트 루프 비용 38% 절감</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-27/aws-stripe-ai-agents-financial-compliance/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>AWS: Stripe, 금융 규정 준수를 위해 100개 이상의 AI 에이전트 출시 — 프로덕션 교훈</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-27/claude-code-2-1-195/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-27T00:00:00Z</news:publication_date>
      <news:title>Anthropic: Claude Code v2.1.195 — 마우스 비활성화, 개선된 음성 받아쓰기, 훅 수정</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-06-27/github-desktop-3-6-worktrees-copilot/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
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