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      <news:title>Nvidia-CEO Jensen Huang kritisiert Tech-Führungskräfte, die mit übertriebenen Jobverlust-Prognosen Angst schüren. Er ...</news:title>
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      <news:title>Acht große Tech-Unternehmen haben Verträge mit dem Pentagon unterzeichnet, um KI für klassifizierte militärische Netz...</news:title>
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        <news:language>de</news:language>
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      <news:title>Der chinesische KI-Entwickler Zhuoyu treibt die Transformation zur „Physical AI“ voran. Das Unternehmen sieht darin e...</news:title>
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      <news:publication_date>2026-05-02</news:publication_date>
      <news:title>中国法院裁定，公司不能仅仅为了用AI替代员工而解雇他们。这一决定遵循了2025年12月的类似裁决。</news:title>
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      <news:title>哈佛大学的一项研究发现，OpenAI的o1模型正确诊断了67%的急诊室患者，表现优于得分50-55%的分诊医生。AI可能会彻底改变急诊护理。</news:title>
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      <news:title>英伟达CEO黄仁勋批评科技领袖传播关于AI失业的恐惧，认为这种危言耸听伤害年轻人，实际上反而导致失业。</news:title>
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      <news:title>Apple意外地将一个Claude.md文件捆绑到官方应用中，揭示该公司内部使用Claude Code进行生产开发。这对这家神秘的公司来说是一个尴尬的失误。</news:title>
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      <news:title>据报道，Anthropic正在与英国初创公司Fractile进行早期谈判，购买AI推理芯片，预计2027年可用。此举凸显了定制硬件的竞争。</news:title>
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      <news:title>中国AI开发者卓驭正在推动向&apos;物理AI&apos;的转型，认为这是生存的必要条件。该公司正在探索新的商业模式，如机器人出租车和送货机器人的订阅和&apos;行动代币&apos;。</news:title>
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      <news:title>Une étude de Harvard a révélé que le modèle o1 d&apos;OpenAI a correctement diagnostiqué 67% des patients aux urgences, su...</news:title>
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        <news:language>fr</news:language>
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      <news:publication_date>2026-05-02</news:publication_date>
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        <news:language>fr</news:language>
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      <news:publication_date>2026-05-01</news:publication_date>
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      <news:title>Microsoft añadió silenciosamente una línea &apos;Co-Authored-by Copilot&apos; a los commits de Git en VS Code, incluso para des...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/es/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>Investigadores del MIT han encontrado una explicación mecanicista de por qué los modelos de lenguaje más grandes mejo...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/es/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>El nuevo modelo de pesos abiertos MiMo-V2.5-Pro de Xiaomi casi iguala a Claude Opus 4.6 de Anthropic en pruebas de pr...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/es/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>La evaluación de NIST de DeepSeek V4 Pro encuentra que está ocho meses por detrás de los modelos líderes de EE.UU., p...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/es/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>Xiaomi&apos;s new open-weight model MiMo-V2.5-Pro nearly matches Anthropic&apos;s Claude Opus 4.6 on coding benchmarks while us...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/es/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>es</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>NIST&apos;s evaluation of DeepSeek V4 Pro finds it lags behind leading US models by about eight months, but it is the most...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/pt/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>pt</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>A startup chinesa Moonshot AI e seu modelo de pesos abertos Kimi K2.6 venceram um concurso de programação contra GPT-...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/pt/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>pt</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>Um estudo da Harvard descobriu que o modelo o1 da OpenAI diagnosticou corretamente 67% dos pacientes de emergência, e...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/pt/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>pt</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>Uma nova referência testa modelos de IA líderes em 100 dilemas éticos cotidianos, desde o mau uso de dados até violaç...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/pt/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>pt</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>Funcionários da OpenAI levantaram alarmes internos sobre a falha da empresa em alertar as autoridades quando usuários...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/pt/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>pt</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>Microsoft adicionou discretamente uma linha &apos;Co-Authored-by Copilot&apos; aos commits do Git no VS Code – mesmo para desen...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/pt/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>pt</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>Pesquisadores do MIT encontraram uma explicação mecânica para por que modelos de linguagem maiores melhoram de forma ...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/pt/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>pt</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>O novo modelo de pesos abertos da Xiaomi, MiMo-V2.5-Pro, quase corresponde ao Claude Opus 4.6 da Anthropic em referên...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/pt/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>pt</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>A avaliação do NIST sobre o DeepSeek V4 Pro constata que ele está cerca de oito meses atrás dos modelos líderes dos E...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/pt/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>pt</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>Xiaomi&apos;s new open-weight model MiMo-V2.5-Pro nearly matches Anthropic&apos;s Claude Opus 4.6 on coding benchmarks while us...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/pt/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>pt</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>NIST&apos;s evaluation of DeepSeek V4 Pro finds it lags behind leading US models by about eight months, but it is the most...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ja/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>中国のスタートアップ企業Moonshot AIのオープンウェイトモデルKimi K2.6は、GPT-5.5、Claude Opus 4.7、Geminiに対してコーディングコンテストで勝利しました。これは、中国のAIモデルが特定のタス...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ja/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>ハーバード大学の研究によると、OpenAIのo1モデルは救急患者の67%を正しく診断したのに対し、医師の診断率は50-55%でした。研究者たちはこれを「医学を再構築する深刻な変化」と呼んでいます。</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ja/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>新しいベンチマークは、データの不正使用から腫瘍学におけるプロトコル違反まで、100の日常的な倫理的ジレンマで主要なAIモデルをテストします。結果は、AIがどの道徳に従うべきかという問いを提起します。</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ja/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>OpenAIの従業員は、ChatGPTでユーザーが現実世界の暴力計画を説明した際に、会社が法執行機関に警告しなかったことについて内部で警報を発しています。この問題は深刻な安全上の懸念を提起します。</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ja/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>Microsoftは、AI機能を完全にオフにした開発者に対しても、VS CodeのGitコミットに「Co-Authored-by Copilot」行を静かに追加しました。この動きは信頼を損ないます。</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ja/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>MITの研究者たちは、なぜ大規模な言語モデルが確実に改善するかというメカニズム的な説明を見つけました。この現象は「重ね合わせ」と呼ばれ、ニューロンが複数の概念を同時に保存する方法を示しています。</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ja/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>Xiaomiの新しいオープンウェイトモデルMiMo-V2.5-Proは、コーディングベンチマークでAnthropicのClaude Opus 4.6にほぼ匹敵しながら、はるかに少ないエネルギーを使用します。それは数時間にわたって自律的...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ja/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>NISTによるDeepSeek V4 Proの評価では、それは主要な米国モデルから約8ヶ月遅れていることが判明しましたが、これまでで最も能力の高い中国のAIモデルです。</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ja/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>Xiaomi&apos;s new open-weight model MiMo-V2.5-Pro nearly matches Anthropic&apos;s Claude Opus 4.6 on coding benchmarks while us...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ja/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>NIST&apos;s evaluation of DeepSeek V4 Pro finds it lags behind leading US models by about eight months, but it is the most...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ko/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>중국 스타트업 문샷 AI의 오픈 웨이트 모델 키미 K2.6가 GPT-5.5, 클로드 오퍼스 4.7, 젬니를 상대로 코딩 대회에서 승리했습니다. 이는 중국 AI 모델이 특정 작업에서 미국 리더들과 경쟁할 수 있음...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ko/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>하버드 연구에 따르면, OpenAI의 o1 모델은 응급실 환자의 67%를 정확히 진단했으며, 의사들보다 50-55% 더 높은 수치를 기록했습니다. 연구원들은 이를 &apos;심오한 변화&apos;라며 의학을 재구성할 것이라고 말...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ko/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>새로운 벤치마크는 데이터 오용부터 종양학에서의 프로토콜 위반까지 100가지 일상적인 윤리적 딜레마를 통해 주요 AI 모델을 테스트합니다. 결과는 AI가 어떤 윤리를 따라야 하는지에 대한 질문을 제기합니다.</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ko/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>OpenAI 직원들은 ChatGPT에서 사용자들이 현실 세계의 폭력 계획을 설명할 때 법 집행 기관에 알리지 않은 회사의 실패에 대해 내부 경고를 발령했습니다. 이 문제는 심각한 안전 문제를 제기합니다.</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ko/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>마이크로소프트는 AI 기능을 완전히 껐던 개발자들에게도 VS Code의 Git 커밋에 &apos;Co-Authored-by Copilot&apos; 라인을 조용히 추가했습니다. 이 조치는 신뢰를 훼손합니다.</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ko/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>MIT 연구원들은 더 큰 언어 모델이 왜 신뢰할 수 있게 더 나아지는지에 대한 메커니즘적 설명을 찾아냈습니다. &apos;중첩&apos;이라는 이 현상은 뉴런이 여러 개념을 동시에 저장하는 방법을 보여줍니다.</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ko/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>샤오미의 새로운 오픈 웨이트 모델 MiMo-V2.5-Pro는 코딩 벤치마크에서 앤트로픽의 클로드 오퍼스 4.6에 거의 필적하면서 훨씬 적은 에너지를 사용합니다. 이 모델은 수 시간 동안 자율적으로 코딩할 수 있...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ko/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>NIST의 딥시크 V4 Pro 평가에 따르면, 이 모델은 주요 미국 모델보다 약 8개월 정도 뒤처지지만, 현재까지 가장 강력한 중국 AI 모델입니다.</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ko/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>Xiaomi&apos;s new open-weight model MiMo-V2.5-Pro nearly matches Anthropic&apos;s Claude Opus 4.6 on coding benchmarks while us...</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.datacubeai.space/ko/week/2026-05-03</loc>
    <news:news>
      <news:publication>
        <news:name>Data Cube AI</news:name>
        <news:language>ko</news:language>
      </news:publication>
      <news:publication_date>2026-05-03</news:publication_date>
      <news:title>NIST&apos;s evaluation of DeepSeek V4 Pro finds it lags behind leading US models by about eight months, but it is the most...</news:title>
    </news:news>
  </url>
</urlset>