<?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://www.sipply.dev/story/openai-plans-to-rebrand-data-centers-as-ai-compute-campuses-173a128d</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-01T21:55:23.000Z</news:publication_date>
      <news:title>OpenAI plans to rebrand data centers as &apos;AI compute campuses</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/openai-plans-to-rebrand-data-centers-as-ai-compute-campuses-173a128d</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-11-01T21:55:23.000Z</news:publication_date>
      <news:title>OpenAI计划将数据中心重新命名为‘AI计算校园</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/tech-ceos-discuss-ais-benefits-while-facing-criticism-for-ee3b5b99</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-01T20:57:58.000Z</news:publication_date>
      <news:title>Tech CEOs discuss AI&apos;s benefits while facing criticism for disconnect with users</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/tech-ceos-discuss-ais-benefits-while-facing-criticism-for-ee3b5b99</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-11-01T20:57:58.000Z</news:publication_date>
      <news:title>科技CEO讨论人工智能的好处，同时面临与用户脱节的批评</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/apple-ceo-emphasizes-thoughtful-ai-integration-over-2af600c6</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T21:41:00.000Z</news:publication_date>
      <news:title>Apple CEO emphasizes thoughtful AI integration over superficial implementation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/apple-ceo-emphasizes-thoughtful-ai-integration-over-2af600c6</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T21:41:00.000Z</news:publication_date>
      <news:title>苹果CEO强调深思熟虑的AI整合胜于表面实施</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/naacp-lawsuit-against-xai-over-data-center-pollution-allowed-c58dfd6d</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T21:17:03.000Z</news:publication_date>
      <news:title>NAACP lawsuit against xAI over data center pollution allowed to proceed</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/naacp-lawsuit-against-xai-over-data-center-pollution-allowed-c58dfd6d</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T21:17:03.000Z</news:publication_date>
      <news:title>NAACP对xAI的数据中心污染诉讼获准继续进行</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/openai-reduces-funding-target-from-30-billion-to-20-billion-2c232238</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T16:12:55.000Z</news:publication_date>
      <news:title>OpenAI reduces funding target from $30 billion to $20 billion amid investor caution</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/openai-reduces-funding-target-from-30-billion-to-20-billion-2c232238</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T16:12:55.000Z</news:publication_date>
      <news:title>OpenAI reduces funding target from $30 billion to $20 billion amid investor caution</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/developer-launches-ai-tamagotchi-muse-charm-ahead-of-metas-136cc440</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T16:05:00.000Z</news:publication_date>
      <news:title>Developer launches AI Tamagotchi Muse Charm ahead of Meta&apos;s version</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/developer-launches-ai-tamagotchi-muse-charm-ahead-of-metas-136cc440</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T16:05:00.000Z</news:publication_date>
      <news:title>开发者在Meta版本之前推出AI电子宠物Muse Charm</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/researchers-develop-skillmem-to-enhance-multi-agent-27879090</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>Researchers develop SkillMem to enhance multi-agent reasoning efficiency</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/researchers-develop-skillmem-to-enhance-multi-agent-27879090</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>研究人员开发SkillMem以提高多智能体推理效率</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/new-hrf-res-model-enhances-frequency-specific-pattern-86980560</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>New HRF-Res model enhances frequency-specific pattern recognition in AI</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/new-hrf-res-model-enhances-frequency-specific-pattern-86980560</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>新HRF-Res模型增强了AI中的频率特定模式识别</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/filingloop-introduces-a-new-framework-for-evaluating-llm-ff604de4</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>FilingLoop introduces a new framework for evaluating LLM agents in corporate disclosures</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/filingloop-introduces-a-new-framework-for-evaluating-llm-ff604de4</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>FilingLoop推出了一种评估企业披露中LLM代理的新框架</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/new-research-highlights-large-language-models-potential-in-d61c7423</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>New research highlights large language models&apos; potential in numerical optimization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/new-research-highlights-large-language-models-potential-in-d61c7423</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>新研究强调大型语言模型在数值优化中的潜力</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/study-explores-food-similarity-in-indian-cuisine-through-213cea28</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>Study explores food similarity in Indian cuisine through visual representations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/study-explores-food-similarity-in-indian-cuisine-through-213cea28</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>研究通过视觉表现探索印度菜肴中的食物相似性</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/researchers-unveil-verification-learning-theory-to-enhance-261bd7ac</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>Researchers unveil Verification Learning Theory to enhance AI-assisted judgment accuracy</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/researchers-unveil-verification-learning-theory-to-enhance-261bd7ac</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>研究人员揭示验证学习理论，以提高AI辅助判断的准确性</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/garden-introduces-automated-reward-design-for-multi-agent-b2315761</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>GARDEN introduces automated reward design for multi-agent reinforcement learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/garden-introduces-automated-reward-design-for-multi-agent-b2315761</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>GARDEN引入了多智能体强化学习的自动化奖励设计</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/researchers-launch-scigame-benchmark-for-evaluating-language-b1c75dbd</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>Researchers launch SciGame benchmark for evaluating language model agents in science</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/researchers-launch-scigame-benchmark-for-evaluating-language-b1c75dbd</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>研究人员推出SciGame基准，用于评估科学中的语言模型智能体</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/story/verifiedlab-introduces-a-multi-agent-framework-for-enhancing-282e0059</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>VerifiedLab introduces a multi-agent framework for enhancing scientific data reliability</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.sipply.dev/zh/story/verifiedlab-introduces-a-multi-agent-framework-for-enhancing-282e0059</loc>
    <news:news>
      <news:publication>
        <news:name>Sipply</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-10-31T04:00:00.000Z</news:publication_date>
      <news:title>VerifiedLab推出多智能体框架以增强科学数据的可靠性</news:title>
    </news:news>
  </url>
</urlset>
