<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
        xmlns:news="http://www.google.com/schemas/sitemap-news/0.9">
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-04/apple-icml-2026-roundup/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-04T00:00:00Z</news:publication_date>
      <news:title>Apple na ICML 2026: 28 radova, on-device MLX i negativan rezultat o multi-agentima</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-04/apple-icml-2026-roundup/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-04T00:00:00Z</news:publication_date>
      <news:title>Apple at ICML 2026: 28 Papers, On-Device MLX and a Negative Result on Multi-Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-04/apple-icml-2026-roundup/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-04T00:00:00Z</news:publication_date>
      <news:title>Apple auf der ICML 2026: 28 Paper, On-Device-MLX und ein negatives Ergebnis zu Multi-Agenten</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-04/apple-icml-2026-roundup/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-04T00:00:00Z</news:publication_date>
      <news:title>苹果亮相ICML 2026：28篇论文、端侧MLX与多智能体负面结论</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-04/apple-icml-2026-roundup/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-04T00:00:00Z</news:publication_date>
      <news:title>AppleのICML 2026：28本の論文、オンデバイスMLX、マルチエージェントへの否定的知見</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-04/apple-icml-2026-roundup/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-04T00:00:00Z</news:publication_date>
      <news:title>Apple의 ICML 2026: 논문 28편, 온디바이스 MLX, 멀티 에이전트 부정적 결과</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-03/amd-agentkernelarena-benchmark/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD AgentKernelArena: otvoreni benchmark za AI agente na GPU kernel optimizaciji</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-03/amd-eagle3-speculative-decoding-quark/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD Eagle3 i Quark FP8: spekulativno dekodiranje donosi do 2,00x throughput na MI355X</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-03/amd-yolo26-gpu-resident-pipeline/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD ROCm: GPU-rezidentni YOLO26 pipeline drži video okvire u VRAM-u od dekodiranja do detekcije</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-03/anthropic-claude-code-2-1-200/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Claude Code v2.1.200: zadani permission mode promijenjen na Manual</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-03/arxiv-distributed-attacks-ai-control/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Distribuirani napadi na AI coding-agente: nijedan monitor ih ne zaustavlja istovremeno</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-03/arxiv-eo-agents-earth-observation/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>EO-Agents: troagentni LLM pipeline generirao 160 znanstvenih hipoteza iz 1.475 NASA skupova podataka</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-03/arxiv-online-safety-monitoring-llm/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Jednostavan kalibrirani monitoring LLM-ova premašuje složene sekvencijalne pristupe</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-03/arxiv-pase-cloud-healing-neurosymbolic/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>PASE: neuro-simbolički sustav skraćuje oporavak cloud kvarova za više od 40 posto</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-03/arxiv-recontext-long-context-replay/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>ReContext poboljšava iskorištenost 128K kontekstnih prozora bez ponovnog treniranja</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-03/arxiv-vrrl-visual-self-reflection/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>VRRL: pojačano učenje primorava vizualne modele da stvarno koriste sliku pri samokorekciji</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-03/pytorch-test-infrastructure/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Kako PyTorch generira tisuće testova iz nekoliko template klasa — vodič kroz test-infrastrukturu</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-03/amd-agentkernelarena-benchmark/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD AgentKernelArena: Open Benchmark for AI Agents on GPU Kernel Optimization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-03/amd-eagle3-speculative-decoding-quark/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD Eagle3 and Quark FP8: Speculative Decoding Delivers Up to 2.00x Throughput on MI355X</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-03/amd-yolo26-gpu-resident-pipeline/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD ROCm: GPU-Resident YOLO26 Pipeline Keeps Video Frames in VRAM from Decode to Detection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-03/anthropic-claude-code-2-1-200/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Claude Code v2.1.200: Default Permission Mode Changed to Manual</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-03/arxiv-distributed-attacks-ai-control/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Distributed Attacks on AI Coding Agents: No Monitor Stops Both Attack Types Simultaneously</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-03/arxiv-eo-agents-earth-observation/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>EO-Agents: Three-Agent LLM Pipeline Generated 160 Scientific Hypotheses from 1,475 NASA Datasets</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-03/arxiv-online-safety-monitoring-llm/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Simple Calibrated LLM Monitoring Matches Sophisticated Sequential Approaches</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-03/arxiv-pase-cloud-healing-neurosymbolic/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>PASE: Neurosymbolic System Cuts Cloud Failure Recovery Time by More Than 40 Percent</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-03/arxiv-recontext-long-context-replay/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>ReContext Improves Utilization of 128K Context Windows Without Retraining</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-03/arxiv-vrrl-visual-self-reflection/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>VRRL: Reinforcement Learning Forces Visual Models to Actually Use the Image During Self-Correction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-03/pytorch-test-infrastructure/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>How PyTorch Generates Thousands of Tests from a Few Template Classes — A Guide to the Test Infrastructure</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-03/amd-agentkernelarena-benchmark/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD AgentKernelArena: offener Benchmark für KI-Agenten zur GPU-Kernel-Optimierung</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-03/amd-eagle3-speculative-decoding-quark/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD Eagle3 und Quark FP8: Spekulatives Decoding bringt bis zu 2,00x Durchsatz auf MI355X</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-03/amd-yolo26-gpu-resident-pipeline/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD ROCm: GPU-residente YOLO26-Pipeline hält Video-Frames von der Dekodierung bis zur Erkennung im VRAM</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-03/anthropic-claude-code-2-1-200/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Claude Code v2.1.200: Standard-Permission-Modus auf Manual umgestellt</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-03/arxiv-distributed-attacks-ai-control/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Verteilte Angriffe auf KI-Coding-Agenten: Kein Monitor stoppt beide Angriffstypen gleichzeitig</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-03/arxiv-eo-agents-earth-observation/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>EO-Agents: Drei-Agenten-LLM-Pipeline generierte 160 wissenschaftliche Hypothesen aus 1.475 NASA-Datensätzen</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-03/arxiv-online-safety-monitoring-llm/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Einfaches kalibriertes LLM-Monitoring übertrifft komplexe sequenzielle Ansätze</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-03/arxiv-pase-cloud-healing-neurosymbolic/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>PASE: Neuro-symbolisches System verkürzt Cloud-Fehlerwiederherstellung um mehr als 40 Prozent</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-03/arxiv-recontext-long-context-replay/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>ReContext verbessert die Nutzung von 128K-Kontextfenstern ohne Retraining</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-03/arxiv-vrrl-visual-self-reflection/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>VRRL: Reinforcement Learning zwingt Visuelle Modelle dazu, beim Selbstkorrigieren wirklich das Bild zu nutzen</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-03/pytorch-test-infrastructure/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Wie PyTorch Tausende von Tests aus wenigen Template-Klassen generiert — ein Leitfaden zur Test-Infrastruktur</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-03/amd-agentkernelarena-benchmark/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD AgentKernelArena：针对GPU内核优化的AI代理开放基准测试框架</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-03/amd-eagle3-speculative-decoding-quark/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD Eagle3与Quark FP8：推测性解码在MI355X上实现最高2.00倍吞吐量</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-03/amd-yolo26-gpu-resident-pipeline/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD ROCm：GPU驻留YOLO26流水线将视频帧从解码到检测全程保留在VRAM中</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-03/anthropic-claude-code-2-1-200/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Claude Code v2.1.200：默认权限模式更改为手动</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-03/arxiv-distributed-attacks-ai-control/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>针对AI编程代理的分布式攻击：现有监控器无一能同时阻止两类攻击</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-03/arxiv-eo-agents-earth-observation/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>EO-Agents：三代理LLM流水线从1,475个NASA数据集生成160个科学假设</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-03/arxiv-online-safety-monitoring-llm/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>简单的校准LLM监控超越复杂的序贯方法</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-03/arxiv-pase-cloud-healing-neurosymbolic/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>PASE：神经符号系统将云故障恢复时间缩短40%以上</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-03/arxiv-recontext-long-context-replay/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>ReContext在无需重新训练的情况下改善128K上下文窗口的利用率</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-03/arxiv-vrrl-visual-self-reflection/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>VRRL：强化学习迫使视觉模型在自我修正时真正利用图像</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-03/pytorch-test-infrastructure/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>PyTorch如何从几个模板类生成数千个测试——测试基础设施指南</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-03/amd-agentkernelarena-benchmark/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD AgentKernelArena：AIエージェントのGPUカーネル最適化を測るオープンベンチマーク</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-03/amd-eagle3-speculative-decoding-quark/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD Eagle3とQuark FP8：投機的デコーディングがMI355Xで最大2.00倍のスループットを実現</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-03/amd-yolo26-gpu-resident-pipeline/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD ROCm：GPU常駐型YOLO26パイプラインがデコードから検出まで動画フレームをVRAMに保持</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-03/anthropic-claude-code-2-1-200/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Claude Code v2.1.200：デフォルトのパーミッションモードがManualに変更</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-03/arxiv-distributed-attacks-ai-control/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AIコーディングエージェントへの分散攻撃：既存のいかなるモニターも同時に防御できない</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-03/arxiv-eo-agents-earth-observation/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>EO-Agents：3エージェントLLMパイプラインがNASA 1,475データセットから160件の科学的仮説を生成</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-03/arxiv-online-safety-monitoring-llm/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>シンプルなキャリブレーション済みLLMモニタリングが複雑な逐次的手法を上回る</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-03/arxiv-pase-cloud-healing-neurosymbolic/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>PASE：ニューロシンボリックシステムがクラウド障害回復時間を40%以上短縮</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-03/arxiv-recontext-long-context-replay/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>ReContext：再訓練なしで128Kコンテキストウィンドウの活用を改善</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-03/arxiv-vrrl-visual-self-reflection/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>VRRL：強化学習が視覚言語モデルに自己修正時に実際に画像を使わせる</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-03/pytorch-test-infrastructure/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>PyTorchが少数のテンプレートクラスから数千のテストを生成する仕組み――テストインフラストラクチャガイド</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-03/amd-agentkernelarena-benchmark/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD AgentKernelArena: GPU 커널 최적화를 위한 AI 에이전트 오픈 벤치마크</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-03/amd-eagle3-speculative-decoding-quark/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD Eagle3과 Quark FP8: 투기적 디코딩으로 MI355X에서 최대 2.00배 처리량 달성</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-03/amd-yolo26-gpu-resident-pipeline/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AMD ROCm: GPU 레지던트 YOLO26 파이프라인, 비디오 프레임을 디코딩부터 감지까지 VRAM에 유지</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-03/anthropic-claude-code-2-1-200/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>Claude Code v2.1.200: 기본 권한 모드가 Manual로 변경</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-03/arxiv-distributed-attacks-ai-control/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>AI 코딩 에이전트에 대한 분산 공격: 어떤 모니터도 동시에 차단하지 못함</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-03/arxiv-eo-agents-earth-observation/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>EO-Agents: 3에이전트 LLM 파이프라인이 1,475개 NASA 데이터셋에서 160개의 과학적 가설을 생성</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-03/arxiv-online-safety-monitoring-llm/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>단순 보정 LLM 모니터링이 복잡한 순차적 접근 방식을 능가</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-03/arxiv-pase-cloud-healing-neurosymbolic/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>PASE: 뉴로심볼릭 시스템이 클라우드 장애 복구 시간을 40% 이상 단축</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-03/arxiv-recontext-long-context-replay/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>ReContext, 재훈련 없이 128K 컨텍스트 창 활용도를 개선</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-03/arxiv-vrrl-visual-self-reflection/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>VRRL: 강화 학습이 시각 모델이 자기 수정 시 이미지를 실제로 활용하도록 강제</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-03/pytorch-test-infrastructure/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-03T00:00:00Z</news:publication_date>
      <news:title>PyTorch가 몇 가지 템플릿 클래스에서 수천 개의 테스트를 생성하는 방법 — 테스트 인프라 가이드</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-02/aisi-test-time-compute-agent-evals/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Britanski AISI: Evaluacije AI agenata moraju uzeti u obzir budžet računanja</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-02/arxiv-automem-memory-cognitive-skill/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>AutoMem: memorijsko upravljanje kao naučiva vještina, ne arhitekturni izbor</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-02/arxiv-harc-harmfulness-refusal-coupling/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>HARC: Nova metoda fine-tuninga koja sprječava jailbreak uparivanjem štetnosti i odbijanja</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-02/arxiv-openworld-agent-fragility-paft/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Istraživanje ICML 2026: SFT i RL agenti dramatično gube na performansama izvan kontroliranog benchmarka</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-02/arxiv-sea-self-evolving-agents-certificates/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>SEA: Agenti koji se samo-modificiraju uz formalna sigurnosna jamstva u realnom vremenu</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-02/arxiv-two-ai-metrics-diverged/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Dva AI mjerila razišla se — hoće li to biti odlučujuće?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-02/aws-bedrock-ai-phishing-detection/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Amazon Bedrock otkriva AI-generirani phishing analizom ponašanja sadržaja</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-02/aws-sagemaker-multiturn-rl-best-practices/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>AWS SageMaker vodič: u multi-turn RL nagrada i evaluacija važniji od algoritma</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-02/github-copilot-agent-session-streaming/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>GitHub Copilot agenti dobivaju streaming sesija u javnoj pretpregledu</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-02/github-copilot-cli-cost-controls/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>GitHub Copilot u CI/CD-u: bez osobnih tokena i s kontrolom troškova po timu</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/hr/news/2026-07-02/langchain-coding-agent-cost-langsmith/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>hr</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Kako obuzdati eksploziju troškova coding-agenata: četverofazni pristup LangSmithom</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-02/aisi-test-time-compute-agent-evals/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>UK AISI: Agent Evaluations Must Account for Compute Budget</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-02/arxiv-automem-memory-cognitive-skill/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>AutoMem: Memory Management as a Learnable Skill, Not an Architectural Choice</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-02/arxiv-harc-harmfulness-refusal-coupling/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>HARC: A New Fine-Tuning Method That Prevents Jailbreaks by Coupling Harmfulness and Refusal</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-02/arxiv-openworld-agent-fragility-paft/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>ICML 2026 Research: SFT and RL Agents Suffer Dramatic Performance Drops Outside Controlled Benchmarks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-02/arxiv-sea-self-evolving-agents-certificates/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>SEA: Agents That Self-Modify With Formal Safety Guarantees in Real Time</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-02/arxiv-two-ai-metrics-diverged/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Two AI Metrics Diverged — Will It Make All the Difference?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-02/aws-bedrock-ai-phishing-detection/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Amazon Bedrock Detects AI-Generated Phishing Through Content Behavior Analysis</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-02/aws-sagemaker-multiturn-rl-best-practices/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>AWS SageMaker Guide: In Multi-Turn RL, Reward and Evaluation Matter More Than the Algorithm</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-02/github-copilot-agent-session-streaming/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>GitHub Copilot Agents Get Session Streaming in Public Preview</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-02/github-copilot-cli-cost-controls/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>GitHub Copilot in CI/CD: No Personal Tokens and Team-Level Cost Controls</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/en/news/2026-07-02/langchain-coding-agent-cost-langsmith/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>How to Tame Exploding Coding Agent Costs: A Four-Phase Approach with LangSmith</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-02/aisi-test-time-compute-agent-evals/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Britisches AISI: KI-Agenten-Evaluierungen müssen Rechenbudget berücksichtigen</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-02/arxiv-automem-memory-cognitive-skill/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>AutoMem: Gedächtnismanagement als erlernbare Fähigkeit, nicht als Architekturentscheidung</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-02/arxiv-harc-harmfulness-refusal-coupling/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>HARC: Neue Fine-Tuning-Methode verhindert Jailbreaks durch Kopplung von Schädlichkeit und Ablehnung</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-02/arxiv-openworld-agent-fragility-paft/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>ICML 2026-Studie: SFT- und RL-Agenten verlieren dramatisch an Leistung außerhalb kontrollierter Benchmarks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-02/arxiv-sea-self-evolving-agents-certificates/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>SEA: Agenten, die sich selbst modifizieren – mit formalen Sicherheitsgarantien in Echtzeit</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-02/arxiv-two-ai-metrics-diverged/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Zwei KI-Metriken divergierten – wird das den entscheidenden Unterschied machen?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-02/aws-bedrock-ai-phishing-detection/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Amazon Bedrock erkennt KI-generierten Phishing durch Verhaltensanalyse</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-02/aws-sagemaker-multiturn-rl-best-practices/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>AWS SageMaker-Leitfaden: Bei Multi-Turn-RL sind Belohnungsfunktion und Evaluierung wichtiger als der Algorithmus</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-02/github-copilot-agent-session-streaming/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>GitHub Copilot-Agenten erhalten Session-Streaming in der öffentlichen Vorschau</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-02/github-copilot-cli-cost-controls/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>GitHub Copilot in CI/CD: Kein persönlicher Token mehr und Kostenkontrolle pro Team</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/de/news/2026-07-02/langchain-coding-agent-cost-langsmith/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>de</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Wie man Kostenexplosionen bei Coding-Agenten eindämmt: Vierphasiger Ansatz mit LangSmith</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-02/aisi-test-time-compute-agent-evals/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>英国AISI：AI智能体评估必须考虑计算预算</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-02/arxiv-automem-memory-cognitive-skill/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>AutoMem：将记忆管理作为可学习技能而非架构选择</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-02/arxiv-harc-harmfulness-refusal-coupling/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>HARC：通过耦合有害性与拒绝方向防止越狱攻击的新型微调方法</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-02/arxiv-openworld-agent-fragility-paft/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>ICML 2026研究：SFT与RL智能体在受控基准之外性能大幅下降</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-02/arxiv-sea-self-evolving-agents-certificates/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>SEA：具备实时形式化安全保证的自我修改智能体</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-02/arxiv-two-ai-metrics-diverged/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>两种AI衡量标准分歧——这将带来决定性影响吗？</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-02/aws-bedrock-ai-phishing-detection/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Amazon Bedrock通过内容行为分析识别AI生成的网络钓鱼</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-02/aws-sagemaker-multiturn-rl-best-practices/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>AWS SageMaker指南：多轮强化学习中奖励与评估比算法更重要</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-02/github-copilot-agent-session-streaming/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>GitHub Copilot智能体获得公开预览版会话流传输功能</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-02/github-copilot-cli-cost-controls/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>GitHub Copilot在CI/CD中：无需个人令牌，支持按团队成本控制</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/zh/news/2026-07-02/langchain-coding-agent-cost-langsmith/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>zh</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>如何遏制编码智能体的成本爆炸：LangSmith四阶段方法</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-02/aisi-test-time-compute-agent-evals/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>英国AISI：AIエージェント評価はテスト時計算リソースを考慮すべき</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-02/arxiv-automem-memory-cognitive-skill/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>AutoMem：人手なしに記憶管理を学習する認知スキルとしてのメモリ</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-02/arxiv-harc-harmfulness-refusal-coupling/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>HARC：有害性と拒否の方向を結合したジェイルブレーク耐性ファインチューニング手法</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-02/arxiv-openworld-agent-fragility-paft/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>ICML 2026研究：SFTとRLエージェントは制御されたベンチマーク外で劇的に性能が低下</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-02/arxiv-sea-self-evolving-agents-certificates/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>SEA：リアルタイムの形式的安全保証を持つ自己修正エージェント</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-02/arxiv-two-ai-metrics-diverged/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>2つのAI指標が分岐した——これは決定的な問題になるか？</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-02/aws-bedrock-ai-phishing-detection/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Amazon Bedrockがコンテンツ行動分析でAI生成フィッシングを検出</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-02/aws-sagemaker-multiturn-rl-best-practices/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>AWS SageMakerガイド：マルチターンRLでは報酬と評価がアルゴリズムより重要</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-02/github-copilot-agent-session-streaming/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>GitHub Copilotエージェントがパブリックプレビューでセッションストリーミングを取得</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-02/github-copilot-cli-cost-controls/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>GitHub CopilotのCI/CD：個人トークン不要、チーム別コスト制御</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ja/news/2026-07-02/langchain-coding-agent-cost-langsmith/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>コーディングエージェントのコスト爆発を抑える：LangSmithによる4段階アプローチ</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-02/aisi-test-time-compute-agent-evals/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>영국 AISI: AI 에이전트 평가는 컴퓨팅 예산을 반드시 고려해야 한다</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-02/arxiv-automem-memory-cognitive-skill/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>AutoMem: 메모리 관리를 아키텍처적 선택이 아닌 학습 가능한 기술로</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-02/arxiv-harc-harmfulness-refusal-coupling/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>HARC: 유해성과 거부 방향 결합으로 탈옥 방지하는 새로운 파인튜닝 방법</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-02/arxiv-openworld-agent-fragility-paft/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>ICML 2026 연구: SFT 및 RL 에이전트, 통제된 벤치마크 외부에서 성능 급락</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-02/arxiv-sea-self-evolving-agents-certificates/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>SEA: 실시간 공식 안전 보장을 갖춘 자기 수정 에이전트</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-02/arxiv-two-ai-metrics-diverged/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>두 AI 지표가 엇갈렸다 — 그것이 결정적인 차이를 만들까?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-02/aws-bedrock-ai-phishing-detection/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>Amazon Bedrock, 콘텐츠 행동 분석으로 AI 생성 피싱 탐지</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-02/aws-sagemaker-multiturn-rl-best-practices/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>AWS SageMaker 가이드: 멀티턴 RL에서 알고리즘보다 보상과 평가가 중요하다</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-02/github-copilot-agent-session-streaming/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>GitHub Copilot 에이전트, 퍼블릭 프리뷰에서 세션 스트리밍 지원 시작</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-02/github-copilot-cli-cost-controls/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>GitHub Copilot CI/CD: 개인 토큰 불필요, 팀별 비용 통제 지원</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://24-ai.news/ko/news/2026-07-02/langchain-coding-agent-cost-langsmith/</loc>
    <news:news>
      <news:publication>
        <news:name>24 AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-07-02T00:00:00Z</news:publication_date>
      <news:title>코딩 에이전트 비용 폭발을 억제하는 방법: LangSmith 4단계 접근법</news:title>
    </news:news>
  </url>
</urlset>
