<?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://axbrief.com/news/microsoft-iq-collapses-four-data-sources-into-one-agent-layer-wur0vu</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T15:14:07.459Z</news:publication_date>
      <news:title>데이터 고립 끝낸다, MS가 공개한 AI 에이전트 통합 체계 &apos;Microsoft IQ&apos;</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/news/microsoft-iq-collapses-four-data-sources-into-one-agent-layer-wur0vu</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T15:14:07.459Z</news:publication_date>
      <news:title>Microsoft IQ Collapses Four Data Sources Into One Agent Layer</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/news/surface-rtx-spark-runs-120b-parameter-models-locally-to-end-gpu-bills-9xxnqt</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T11:33:49.089Z</news:publication_date>
      <news:title>클라우드 토큰 비용 제로, 1200억 파라미터 모델 돌리는 &apos;서피스 RTX 스파크&apos; 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/news/surface-rtx-spark-runs-120b-parameter-models-locally-to-end-gpu-bills-9xxnqt</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T11:33:49.089Z</news:publication_date>
      <news:title>Surface RTX Spark Runs 120B Parameter Models Locally to End GPU Bills</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/48406198</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T07:08:26.716Z</news:publication_date>
      <news:title>한국 온라인 커뮤니티, AI 검열 도구로 모든 이미지 전수 조사한다</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/48406198</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T07:08:26.716Z</news:publication_date>
      <news:title>Why Korean Online Forums Are Mandating AI Censorship for All Images</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/claude-now-writes-80-of-the-code-merged-into-anthropics-base-30189</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T04:28:33.740Z</news:publication_date>
      <news:title>코드 80%를 AI가 짜는 시대, Anthropic이 예고한 &apos;재귀적 개선&apos;</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/claude-now-writes-80-of-the-code-merged-into-anthropics-base-30189</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T04:28:33.740Z</news:publication_date>
      <news:title>Claude Now Writes 80% of the Code Merged Into Anthropic&apos;s Base</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/why-ai-startups-are-trading-model-hype-for-eval-and-operating-systems-30195</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T04:14:48.252Z</news:publication_date>
      <news:title>모델 상향평준화 시대, 스타트업의 진짜 해자는 &apos;운영 체계&apos;와 &apos;Eval&apos;</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/why-ai-startups-are-trading-model-hype-for-eval-and-operating-systems-30195</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T04:14:48.252Z</news:publication_date>
      <news:title>Why AI Startups Are Trading Model Hype for Eval and Operating Systems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/why-show-gn-uses-a-ticket-system-to-stop-ai-memory-collapse-30178</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T02:51:17.629Z</news:publication_date>
      <news:title>메모리 붕괴 막는 &apos;티켓 시스템&apos;, 에이전트 아키텍처 Show GN 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/why-show-gn-uses-a-ticket-system-to-stop-ai-memory-collapse-30178</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T02:51:17.629Z</news:publication_date>
      <news:title>Why Show GN Uses a Ticket System to Stop AI Memory Collapse</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/ddr5-32gb-ram-hits-374-97-as-ai-demand-swallows-supply-30181</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T02:20:15.269Z</news:publication_date>
      <news:title>AI 수요가 삼킨 메모리 공급망, DDR5 32GB 최저가 375달러 돌파</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/ddr5-32gb-ram-hits-374-97-as-ai-demand-swallows-supply-30181</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T02:20:15.269Z</news:publication_date>
      <news:title>DDR5 32GB RAM Hits $374.97 as AI Demand Swallows Supply</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/48400213</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T01:18:01.732Z</news:publication_date>
      <news:title>환각부터 모델 붕괴까지, 6년 전 구글이 지운 경고장</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/48400213</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T01:18:01.732Z</news:publication_date>
      <news:title>The Stochastic Parrots Warning and the Reality of AI Model Collapse</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/huaweis-kvarn-boosts-vllm-kv-cache-capacity-by-5x-without-accuracy-loss-48399974</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T23:46:44.300Z</news:publication_date>
      <news:title>Huawei, KV-캐시 용량 5배 늘린 vLLM 백엔드 KVarN 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/huaweis-kvarn-boosts-vllm-kv-cache-capacity-by-5x-without-accuracy-loss-48399974</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T23:46:44.300Z</news:publication_date>
      <news:title>Huawei&apos;s KVarN Boosts vLLM KV-Cache Capacity by 5x Without Accuracy Loss</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/how-anthropics-mythos-1-found-10-000-vulnerabilities-in-30-days-48403980</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T23:05:00.392Z</news:publication_date>
      <news:title>C/C++ 메모리 버그, 스스로 찾고 고치는 Anthropic의 취약점 탐지 프레임워크</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/how-anthropics-mythos-1-found-10-000-vulnerabilities-in-30-days-48403980</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T23:05:00.392Z</news:publication_date>
      <news:title>How Anthropic&apos;s Mythos 1 Found 10,000 Vulnerabilities in 30 Days</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/angular-v22-enables-ai-agents-to-build-and-self-heal-code-30162</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T20:10:57.187Z</news:publication_date>
      <news:title>AI 에이전트가 직접 빌드하고 수정하는 Angular v22 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/angular-v22-enables-ai-agents-to-build-and-self-heal-code-30162</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T20:10:57.187Z</news:publication_date>
      <news:title>Angular v22 Enables AI Agents to Build and Self-Heal Code</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/googles-agent-executor-brings-kubernetes-native-reliability-to-ai-agents-30158</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T18:35:36.071Z</news:publication_date>
      <news:title>에이전트 중단·복구 자동화, 구글 &apos;Agent Executor&apos; 오픈소스 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/googles-agent-executor-brings-kubernetes-native-reliability-to-ai-agents-30158</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T18:35:36.071Z</news:publication_date>
      <news:title>Google&apos;s Agent Executor Brings Kubernetes-Native Reliability to AI Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/why-google-engineers-are-making-memes-about-google-ai-48400311</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T17:45:10.148Z</news:publication_date>
      <news:title>구글 직원들, 사내에서 자사 AI 성능 비판하는 &apos;밈&apos; 공유했다</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/why-google-engineers-are-making-memes-about-google-ai-48400311</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T17:45:10.148Z</news:publication_date>
      <news:title>Why Google Engineers Are Making Memes About Google AI</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/anthropics-dynamic-workflows-and-the-shift-to-agentic-security-48392082</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T11:46:34.044Z</news:publication_date>
      <news:title>권한 줬더니 AWS 키 탈취... Anthropic이 밝힌 에이전트 격리 전략</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/anthropics-dynamic-workflows-and-the-shift-to-agentic-security-48392082</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T11:46:34.044Z</news:publication_date>
      <news:title>Anthropic&apos;s Dynamic Workflows and the Shift to Agentic Security</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/gemma-4-drops-encoders-to-bring-native-multimodal-ai-on-device-itgguf</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T10:39:01.837Z</news:publication_date>
      <news:title>변환기 없이 오디오·비디오 직접 읽는 구글 Gemma 4 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/gemma-4-drops-encoders-to-bring-native-multimodal-ai-on-device-itgguf</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T10:39:01.837Z</news:publication_date>
      <news:title>Gemma 4 Drops Encoders to Bring Native Multimodal AI On-Device</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/uber-caps-ai-coding-costs-at-1-500-per-engineer-monthly-48383056</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T08:38:45.081Z</news:publication_date>
      <news:title>우버의 AI 비용 통제, 엔지니어 1인당 월 1,500달러 제한</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/uber-caps-ai-coding-costs-at-1-500-per-engineer-monthly-48383056</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T08:38:45.081Z</news:publication_date>
      <news:title>Uber Caps AI Coding Costs at $1,500 Per Engineer Monthly</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/why-uc-berkeley-cs-students-are-failing-despite-ai-assistance-48392004</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T07:17:18.210Z</news:publication_date>
      <news:title>UC 버클리 CS 수업, AI 활용 증가에 낙제율 급증하고 수학 능력 저하</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/why-uc-berkeley-cs-students-are-failing-despite-ai-assistance-48392004</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T07:17:18.210Z</news:publication_date>
      <news:title>Why UC Berkeley CS Students Are Failing Despite AI Assistance</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/why-mathematicians-warn-against-ais-rapid-conquest-of-formal-logic-48382052</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T05:50:20.117Z</news:publication_date>
      <news:title>수학자들, AI의 급격한 성장세에 경고 메시지 전달</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/why-mathematicians-warn-against-ais-rapid-conquest-of-formal-logic-48382052</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T05:50:20.117Z</news:publication_date>
      <news:title>Why Mathematicians Warn Against AI&apos;s Rapid Conquest of Formal Logic</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/elixir-v1-20-debuts-gradual-type-inference-to-catch-errors-early-30152</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T02:32:40.808Z</news:publication_date>
      <news:title>Elixir v1.20 공개, 타입 추론으로 코드 오류 미리 잡는다</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/elixir-v1-20-debuts-gradual-type-inference-to-catch-errors-early-30152</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T02:32:40.808Z</news:publication_date>
      <news:title>Elixir v1.20 Debuts Gradual Type Inference to Catch Errors Early</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/gemma-4s-encoder-free-architecture-unlocks-on-device-multimodal-ai-412bit</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T01:50:56.049Z</news:publication_date>
      <news:title>인코더 걷어내 메모리 줄인 구글 Gemma 4, 온디바이스 멀티모달 가속</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/gemma-4s-encoder-free-architecture-unlocks-on-device-multimodal-ai-412bit</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T01:50:56.049Z</news:publication_date>
      <news:title>Gemma 4&apos;s Encoder-Free Architecture Unlocks On-Device Multimodal AI</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/column/alibaba-qwen-3-7-plus-debuts-and-gpt-5-6-adds-game-generation-260604</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T00:06:29.963Z</news:publication_date>
      <news:title>알리바바 Qwen 3.7 Plus 공개와 AI의 게임 제작 시대</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/column/alibaba-qwen-3-7-plus-debuts-and-gpt-5-6-adds-game-generation-260604</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T00:06:29.963Z</news:publication_date>
      <news:title>Alibaba Qwen 3.7 Plus Debuts and GPT 5.6 Adds Game Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/gooey-eliminates-external-dependencies-for-zig-gpu-ui-acceleration-48386725</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T21:55:38.121Z</news:publication_date>
      <news:title>외부 의존성 없이 GPU 가속을 구현한 Zig UI 프레임워크 Gooey</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/gooey-eliminates-external-dependencies-for-zig-gpu-ui-acceleration-48386725</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T21:55:38.121Z</news:publication_date>
      <news:title>Gooey Eliminates External Dependencies for Zig GPU UI Acceleration</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/the-university-of-toronto-ai-worm-that-hijacks-compute-to-spread-48379664</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T20:41:18.646Z</news:publication_date>
      <news:title>모든 온라인 기기를 표적으로 삼는 &apos;적응형 AI 웜&apos;의 등장</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/the-university-of-toronto-ai-worm-that-hijacks-compute-to-spread-48379664</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T20:41:18.646Z</news:publication_date>
      <news:title>The University of Toronto AI Worm That Hijacks Compute to Spread</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/stanford-law-professors-preferred-ai-tutors-in-75-of-blind-tests-48377761</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T13:06:43.238Z</news:publication_date>
      <news:title>법대 교수 75%가 선택한 정답, 정체는 AI였다</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/stanford-law-professors-preferred-ai-tutors-in-75-of-blind-tests-48377761</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T13:06:43.238Z</news:publication_date>
      <news:title>Stanford Law Professors Preferred AI Tutors in 75% of Blind Tests</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/github-copilot-moves-beyond-the-browser-with-new-desktop-agent-app-48373764</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T11:52:07.097Z</news:publication_date>
      <news:title>브라우저 밖으로 나온 GitHub Copilot, 데스크탑 전용 에이전트 앱 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/github-copilot-moves-beyond-the-browser-with-new-desktop-agent-app-48373764</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T11:52:07.097Z</news:publication_date>
      <news:title>GitHub Copilot Moves Beyond the Browser With New Desktop Agent App</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/article/why-claude-code-now-uses-dynamic-workflows-to-fight-agent-laziness-30136</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T09:07:13.896Z</news:publication_date>
      <news:title>Claude Code, 작업별 맞춤형 &apos;동적 워크플로우&apos; 기능 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/article/why-claude-code-now-uses-dynamic-workflows-to-fight-agent-laziness-30136</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T09:07:13.896Z</news:publication_date>
      <news:title>Why Claude Code Now Uses Dynamic Workflows to Fight Agent Laziness</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/geforce-now-june-update-18-new-games-including-neverness-to-everness-avj7jgg</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T06:30:38.932Z</news:publication_date>
      <news:title>하드웨어 제약 없앤 클라우드 스트리밍, GeForce NOW 6월 신작 18종 투입</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/geforce-now-june-update-18-new-games-including-neverness-to-everness-avj7jgg</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T06:30:38.932Z</news:publication_date>
      <news:title>GeForce NOW June Update: 18 New Games Including Neverness to Everness</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/endava-replaces-excel-with-ai-apps-in-new-ai-native-workflow-ie91k8y</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T04:08:55.272Z</news:publication_date>
      <news:title>엑셀 버리고 앱 짰다 — 엔다바가 정의한 AI 네이티브 워크플로우</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/endava-replaces-excel-with-ai-apps-in-new-ai-native-workflow-ie91k8y</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T04:08:55.272Z</news:publication_date>
      <news:title>Endava Replaces Excel with AI Apps in New AI-Native Workflow</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/why-nvidia-nemotron-3-5-swaps-model-tuning-for-natural-language-policies-e3v9ceo</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T01:55:19.003Z</news:publication_date>
      <news:title>기업 맞춤형 가드레일 구현하는 Nemotron 3.5, 멀티모달 안전망 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/why-nvidia-nemotron-3-5-swaps-model-tuning-for-natural-language-policies-e3v9ceo</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-05T01:55:19.003Z</news:publication_date>
      <news:title>Why NVIDIA Nemotron 3.5 Swaps Model Tuning for Natural Language Policies</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/chatgpt-dreaming-architecture-automates-long-term-user-personalization-ilhdxeh</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T23:37:34.157Z</news:publication_date>
      <news:title>나보다 나를 더 잘 아는 ChatGPT, &apos;드림(Dreaming)&apos; 메모리 아키텍처 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/chatgpt-dreaming-architecture-automates-long-term-user-personalization-ilhdxeh</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T23:37:34.157Z</news:publication_date>
      <news:title>ChatGPT Dreaming Architecture Automates Long-Term User Personalization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/hugging-face-cli-cuts-agent-token-use-by-6x-to-boost-llmops-ehfyruh</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T21:22:12.206Z</news:publication_date>
      <news:title>&quot;토큰 6배 절감&quot; — 허깅페이스, 코딩 에이전트 전용 CLI 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/hugging-face-cli-cuts-agent-token-use-by-6x-to-boost-llmops-ehfyruh</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T21:22:12.206Z</news:publication_date>
      <news:title>Hugging Face CLI Cuts Agent Token Use by 6x to Boost LLMOps</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/nemotron-3-ultra-hits-amazon-sagemaker-with-5x-faster-inference-g6959sa</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T19:03:18.551Z</news:publication_date>
      <news:title>추론 5배 빨라진 네모트론 3 울트라, 아마존 세이지메이커 상륙</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/nemotron-3-ultra-hits-amazon-sagemaker-with-5x-faster-inference-g6959sa</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T19:03:18.551Z</news:publication_date>
      <news:title>Nemotron 3 Ultra Hits Amazon SageMaker with 5x Faster Inference</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/how-ai-chatbots-are-fueling-a-surge-in-pro-se-litigation-w58vc8c</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T17:23:53.161Z</news:publication_date>
      <news:title>법정으로 들어온 챗봇, 나홀로 소송의 풍경을 바꾸다</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/how-ai-chatbots-are-fueling-a-surge-in-pro-se-litigation-w58vc8c</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T17:23:53.161Z</news:publication_date>
      <news:title>How AI Chatbots are Fueling a Surge in Pro Se Litigation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/agentic-ai-and-the-end-of-procedural-repetition-in-data-science-s1bgqy4</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T14:33:07.628Z</news:publication_date>
      <news:title>절차적 반복의 종말 — 데이터 사이언스를 재정의하는 &apos;에이전틱 AI&apos;</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/agentic-ai-and-the-end-of-procedural-repetition-in-data-science-s1bgqy4</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T14:33:07.628Z</news:publication_date>
      <news:title>Agentic AI and the End of Procedural Repetition in Data Science</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/googles-ai-tools-solve-the-vintage-pricing-guessing-game-ilpx9ge</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T11:50:22.942Z</news:publication_date>
      <news:title>사진 한 장으로 가치 측정까지, 구글의 AI 빈티지 쇼핑 도구 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/googles-ai-tools-solve-the-vintage-pricing-guessing-game-ilpx9ge</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T11:50:22.942Z</news:publication_date>
      <news:title>Google&apos;s AI Tools Solve the Vintage Pricing Guessing Game</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/from-transformers-to-rag-the-5-milestones-that-built-modern-llms-s1bgt3f</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T09:32:06.478Z</news:publication_date>
      <news:title>트랜스포머부터 RAG까지, LLM의 설계도를 그린 5가지 핵심 논문</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/from-transformers-to-rag-the-5-milestones-that-built-modern-llms-s1bgt3f</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T09:32:06.478Z</news:publication_date>
      <news:title>From Transformers to RAG: The 5 Milestones That Built Modern LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/geminis-action-agent-shift-lessons-from-the-le-sserafim-campaign-axyog6y</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T05:30:03.945Z</news:publication_date>
      <news:title>르세라핌 MV로 본 제미나이, 모호한 가사 검색부터 서클 투 서치까지</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/geminis-action-agent-shift-lessons-from-the-le-sserafim-campaign-axyog6y</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T05:30:03.945Z</news:publication_date>
      <news:title>Gemini&apos;s Action Agent Shift: Lessons from the LE SSERAFIM Campaign</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/nvidia-cosmos-3-collapses-the-physical-ai-workflow-into-one-agent-avj7361</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T02:54:35.709Z</news:publication_date>
      <news:title>자율주행·로봇 개발 병목 뚫는 NVIDIA &apos;물리 AI 에이전트 스킬&apos; 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/nvidia-cosmos-3-collapses-the-physical-ai-workflow-into-one-agent-avj7361</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T02:54:35.709Z</news:publication_date>
      <news:title>NVIDIA Cosmos 3 Collapses the Physical AI Workflow Into One Agent</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/how-wasmer-used-codex-to-shrink-a-year-of-development-into-2-weeks-iu51uev</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T00:24:06.503Z</news:publication_date>
      <news:title>1년 분량 개발을 2주 만에, Wasmer가 Codex로 구현한 엣지 Node.js</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/how-wasmer-used-codex-to-shrink-a-year-of-development-into-2-weeks-iu51uev</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-04T00:24:06.503Z</news:publication_date>
      <news:title>How Wasmer Used Codex to Shrink a Year of Development into 2 Weeks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/gpt-rosalind-openais-new-agentic-model-for-life-sciences-ihw9cxd</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T23:29:28.684Z</news:publication_date>
      <news:title>OpenAI, 신약 개발·유전체 분석 특화한 GPT-Rosalind 업데이트 공개</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/gpt-rosalind-openais-new-agentic-model-for-life-sciences-ihw9cxd</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T23:29:28.684Z</news:publication_date>
      <news:title>GPT-Rosalind: OpenAI&apos;s New Agentic Model for Life Sciences</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/dharmaocr-cuts-text-degeneration-by-87-6-using-dpo-ed0nzc8</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T21:15:38.639Z</news:publication_date>
      <news:title>챗봇용 DPO를 OCR에 적용, 텍스트 반복 오류 최대 87.6% 제거</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/dharmaocr-cuts-text-degeneration-by-87-6-using-dpo-ed0nzc8</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T21:15:38.639Z</news:publication_date>
      <news:title>DharmaOCR Cuts Text Degeneration by 87.6% Using DPO</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/nexus-cuts-tabular-data-prediction-time-from-months-to-days-gqijotb</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T18:56:39.913Z</news:publication_date>
      <news:title>끝났다 — 수개월 걸리던 정형 데이터 예측, NEXUS로 며칠 만에</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/nexus-cuts-tabular-data-prediction-time-from-months-to-days-gqijotb</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T18:56:39.913Z</news:publication_date>
      <news:title>NEXUS Cuts Tabular Data Prediction Time from Months to Days</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/why-reachy-mini-integrated-mcp-for-remote-tool-expansion-e6ihnrs</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T16:38:04.075Z</news:publication_date>
      <news:title>Reachy Mini, MCP 도입으로 &apos;웹 검색·날씨&apos; 원격 도구 확장</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/why-reachy-mini-integrated-mcp-for-remote-tool-expansion-e6ihnrs</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T16:38:04.075Z</news:publication_date>
      <news:title>Why Reachy Mini Integrated MCP for Remote Tool Expansion</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/anthropics-100m-bet-on-claude-partners-to-bridge-the-ai-pilot-gap-ctwz1nf</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T14:16:11.835Z</news:publication_date>
      <news:title>앤스로픽, 1억 달러 투입해 &apos;클로드 전문 파트너&apos; 등급제 도입</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/anthropics-100m-bet-on-claude-partners-to-bridge-the-ai-pilot-gap-ctwz1nf</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T14:16:11.835Z</news:publication_date>
      <news:title>Anthropic&apos;s $100M Bet on Claude Partners to Bridge the AI Pilot Gap</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/why-boston-dynamics-gave-atlas-reversible-knees-and-symmetrical-feet-s40jfem</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T12:07:13.822Z</news:publication_date>
      <news:title>앞뒤 구분 없이 걷는다, 보스턴 다이내믹스 아틀라스의 &apos;대칭형 발&apos; 설계</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/why-boston-dynamics-gave-atlas-reversible-knees-and-symmetrical-feet-s40jfem</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T12:07:13.822Z</news:publication_date>
      <news:title>Why Boston Dynamics Gave Atlas Reversible Knees and Symmetrical Feet</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/blog/nemoclaw-nvidias-blueprint-for-autonomous-industrial-ai-engineers-avj71rx</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T09:33:48.082Z</news:publication_date>
      <news:title>엔비디아가 공개한 산업용 AI 엔지니어 설계도 &apos;NemoClaw&apos;</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://axbrief.com/en/blog/nemoclaw-nvidias-blueprint-for-autonomous-industrial-ai-engineers-avj71rx</loc>
    <news:news>
      <news:publication>
        <news:name>AX BRIEF</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-03T09:33:48.082Z</news:publication_date>
      <news:title>NemoClaw: NVIDIA&apos;s Blueprint for Autonomous Industrial AI Engineers</news:title>
    </news:news>
  </url>
</urlset>