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  • Breaking: Multiple US Websites Down!

    On November 18, prominent internet infrastructure company Cloudflare announced that its global network was experiencing issues, leading to service disruptions for many websites and applications, including internet platforms such as X (formerly Twitter) and ChatGPT, which became inaccessible. According to media reports, Spotify and Amazon also experienced service outages.

    Cloudflare’s stock price once fell by over 5% in pre-market trading.

    Cloudflare stock price falls

    It is worth noting that on the evening of the 18th, the topics “Cloudflare crashed” and “Twitter crashed” trended on Weibo.

    According to its official website, Cloudflare is a global cloud platform that provides a wide range of network services to businesses of all sizes worldwide, while enhancing the performance and reliability of their critical internet assets. Cloudflare also offers data delivery services in 330 cities across 125 countries/regions globally.

    Cloudflare is a global cloud platform

    On September 13, 2019, Cloudflare rang the bell to list on the New York Stock Exchange.

    At 19:17 Beijing time (11:17 London time), Cloudflare’s official website status showed that its supported portal provider was currently experiencing some issues, so customers might encounter errors when viewing or replying to support cases.

    Cloudflare official website screenshot

    Half an hour later, Cloudflare stated that it was currently experiencing an internal service outage, and some services might be intermittently affected.

    Approximately 20 minutes later, the company posted an update stating that the outage had begun to subside, but they were still investigating the issue.

    As of 21:13, the company reported that the error rate for some of its services had “returned to pre-incident levels” and efforts were continuing to restore other services.

    Cloudflare posts update

    As of press time, several internet platforms, including X and ChatGPT, were still affected by the outage, with posts on the X platform displaying “unable to load.”

    X platform posts show “unable to load”

    In fact, this is not the first large-scale outage for Cloudflare; its system has been “hit” multiple times. In July 2019, a bug in Cloudflare’s software caused part of its network to exhaust company-wide computing resources, leading to outages of up to 30 minutes for thousands of websites globally that relied on its services.

    At the time, severely affected websites included prominent platforms such as blog platform Medium, gaming chat service Discord, e-commerce platform Shopify, music service SoundCloud, Bitcoin exchange Coinbase, and online storage provider Dropbox.

    In June 2022, Cloudflare experienced another outage, affecting 19 data centers that handle most of its global traffic, causing several major websites and services to go offline. This incident lasted approximately one and a half hours.

    (Disclaimer: The content and data in this article are for reference only and do not constitute investment advice. Investors act on this information at their own risk.)

    National Business Daily comprehensive report from Shanghai Securities News, Cailian Press, and public information

  • 示例文章:如何学习XML技术John Doe

    XML(可扩展标记语言)是一种用于存储和传输数据的结构化格式,广泛应用于配置文件、数据交换和网络传输等领域:ml-citation{ref=”2″ data=”citationList”}。其核心优势在于自定义标签和清晰的层级结构,例如:

  • 示例文章:如何学习XML技术2

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    https://pic1.zhimg.com/v2-c0be8a9a23c4955e791a67716a671856_1440w.jpg

  • 示例文章:如何学习XML技术

    XML(可扩展标记语言)是一种用于存储和传输数据的结构化格式,广泛应用于配置文件、数据交换和网络传输等领域:ml-citation{ref=”2″ data=”citationList”}。其核心优势在于自定义标签和清晰的层级结构,例如:

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  • LongCat-Flash-Omni正式发布并开源:开启全模态实时交互时代

    美团 LongCat-Flash 系列再升级,美团正式发布全新家族成员 LongCat-Flash-Omni,在文本、图像、视频理解及语音感知与生成等关键单模态任务中,均展现出极强的竞争力。LongCat-Flash-Omni 是业界首个实现 “全模态覆盖、端到端架构、大参数量高效推理” 于一体的开源大语言模型。

  • 美团 LongCat 团队发布 VitaBench:基于复杂生活场景的交互式 Agent 评测基准

    美团 LongCat 团队研发的 VitaBench(Versatile Interactive Tasks Benchmark)正式发布,这是当前高度贴近真实生活场景所面临复杂问题的大模型智能体评测基准。VitaBench 以外卖点餐、餐厅就餐、旅游出行三大高频真实生活场景为典型载体,构建了包含 66 个工具的交互式评测环境,并进行了跨场景的综合任务设计,例如要求 agent 在一个旅行规划任务中通过思考、调用工具和用户交互,完整执行到买好票、订好餐厅的终端状态。

  • LongCat-Video 视频生成模型正式发布,探索世界模型的第一步

    美团 LongCat 团队正式发布 LongCat-Video 视频生成模型 —— 不仅以统一模型在文生、图生视频基础任务上达到开源最先进水平,更依托原生视频续写任务预训练,实现分钟级长视频连贯生成,从根源上保障跨帧时序一致性与物理运动合理性,尤其在长视频生成领域具备显著优势。