Core Viewpoint - DeepSeek-R1 has become the first large model to be published on the cover of Nature after rigorous peer review, highlighting significant advancements in AI research and development [2][10]. Group 1: DeepSeek-R1 and Its Significance - DeepSeek-R1 is recognized as the first large model to undergo strict peer review, marking a milestone in AI research [2]. - The publication has garnered widespread attention, particularly for its unique contributions to reasoning capabilities in AI models [5][54]. Group 2: Jinhao Tu's Contributions - Jinhao Tu, an 18-year-old intern at DeepSeek, is one of the authors of the Nature article, showcasing a remarkable journey from high school to a published researcher [8][10]. - Tu's achievements include winning the global first place in the 2024 Alibaba Data Competition's AI track and developing advanced prompting techniques for AI models [14][18]. Group 3: Innovations in AI Models - Tu's work involved creating a "Thinking Claude" prompt that enhances the reasoning capabilities of the Claude 3.5 model, making it more human-like in its thought processes [16][35]. - The final version of the prompt allows users to interact with the model in a more nuanced way, including features to expand or collapse its reasoning [32][35]. Group 4: Broader Implications for AI - The advancements in AI models like DeepSeek-R1 and Claude 3.5 reflect a shift towards creating systems that not only predict text but also understand underlying meanings, which is crucial for achieving advanced AI capabilities [40][42]. - The focus on safety and alignment in AI development is emphasized, with the belief that these measures are essential for ensuring that AI systems can operate safely and effectively [37][41].

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Core Viewpoint - The new version of Xunlei introduces a third-party cloud storage download feature, enhancing convenience for users managing multiple cloud storage accounts, but the download speed for non-member users remains limited [1][4][8]. Group 1: New Features - The new version allows users to authorize and access files from major cloud storage services like Baidu Cloud, Alibaba Cloud, and Jiu Guo Cloud directly within the Xunlei client [1][3]. - Users can view and download resources in various formats such as MP4, MKV, and MOV, with the option for original quality playback [1][7]. Group 2: Download Speed - Non-member users experience no significant improvement in download speed, as the service relies on MD5 file matching and server acceleration, resulting in similar speeds to the original cloud storage client for less popular files [4][8]. - Average download speeds for non-members are reported at 150KB/s, with speeds dropping to 70KB/s after 10 minutes [5]. Group 3: Membership and Limitations - Free users face limitations on the number of times they can use the video playback feature, with additional views requiring watching advertisements [7]. - To fully utilize the new features and achieve smoother performance, users are encouraged to subscribe to memberships for various cloud storage services, which can be costly [8].

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Core Viewpoint - The article discusses the contamination of language models, particularly GPT, by inappropriate content, highlighting the prevalence of certain terms related to adult entertainment in the training data [4][10]. Group 1: Research Findings - Researchers from Tsinghua University and Nanyang Technological University identified that popular language models like ChatGPT are contaminated by certain "PoC Tokens," which are defined as "polluted Chinese tokens" [6][4]. - In the long Chinese tokens of GPT, over 23% are associated with gray content such as pornography or gambling, indicating a significant level of contamination in the model's vocabulary [7][8]. - The study quantifies that content related to the adult film star "波多野结衣" constitutes approximately 0.5% of the training data for GPT-4o, which is 2.6 times more frequent than the common greeting "你好" [10]. Group 2: Implications and Concerns - The presence of PoC Tokens poses a risk to AI, as these elements can become ingrained in the AI's knowledge base, potentially leading to nonsensical or irrelevant responses [10]. - The widespread existence of these tokens reflects serious challenges in the quality of Chinese web corpus used for training large language models (LLMs) [13]. - The article suggests that the current state of AI training data may inadvertently promote inappropriate content, raising concerns about the implications for AI development and deployment [13].

据新浪科技消息，有数码博主爆料称，iPhone Air 将在 10 月开售，仅以合约机的形式通过运营商渠道销售，没有全网通版本。且 eSIM 在三大运营商之间不能随 意切换。 这意味着用户可能需要绑定特定运营商的服务合约，自然就无法根据网络质量或资费方案灵活选择运营商了。 在过去，"合约机"是运营商巩固用户黏性的常规操作。 据《每日经济新闻》报道，走访运营商门店并询问eSIM卡办理流程时，就有工作人员推荐相关的"合约机"。工作人员介绍，用户购买固定的手机套餐后（套餐月 资费在200元以上，配有宽带），可享受约1440元的购机折扣优惠，但需在一定期限内锁定套餐，不可更换。 iPhone Air 机型不再配备实体卡槽，采用纯 eSIM 设计。eSIM 技术最早也是由苹果提出，并率先应用在手表、平板等智能终端上。 终端或模组内置eSIM后，无需卡槽和卡托，可有效节省空间。eSIM 还支持空中写卡，用户无需前往营业厅，即可完成开卡、选套餐、换号码等操作，弥补了传 统渠道需要面对面办理的不足。 此外，消息还称苹果零售店将不会展示 iPhone Air 的海报与样机。想要体验真机，得去运营商的门店。 这一消息立即引发关注 ...

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按照微软的计划，Windows 10 将在 2025 年 10 月 14 日结束免费安全更新服务。一旦微软停止更新，Windows 10系统将更容易受到恶意软件、病毒和其他网络攻 击的威胁。 虽然微软大力推广 Windows 11，但由于硬件门槛较高，如微软设置了TPM 2.0芯片作为必备组件，导致许多旧设备无法升级。 Windows 10 从 2015 年发布到 2025 年停止更新，服役期限长达十年。在这十年间，经历无数次的更新和优化，Windows 10 成为继 Windows XP 和 Windows 7 之 后最成功的操作系统之一。 而就在27天后，Windows 10将正式走向"生命终点"。 TPM 是主板上的一种安全芯片，用于存储与计算机绑定的加密密钥。这使得PC可以被识别并获得更好的保护。近年来的主流计算机通常会配备 TPM 芯片，但一 些 6 至 7 年前的计算机，即使配置很高，也可能没有。 微软强调，TPM 2.0将成为未来所有 Windows 版本的必备组件，因此不具备该模块的设备无法继续使用新系统。 对许多用户而言，唯一的出路就是花钱购置新设备。 针对不想升级的 Windows 10 ...

以下文章来源于小林coding ，作者小林coding 小林coding . 专注图解计算机基础，让天下没有难懂的八股文！刷题网站：xiaolincoding.com 之前在「互联网公司卡不卡学历」文章里我提过，字节跳动对学历的要求相对灵活 ， 我不仅见过双 非一本毕业生成功入职，甚至二本背景的同学也有机会进入。 不过话说回来，各大厂对高校往往会有自己的偏好。最近我在网上看到一份 「节跳动偏爱高校毕业 生」的名单（非官方来源，仅供大家参考），正好可以和大家聊聊。 截图来源网络，如侵删 这份名单分为四档，第一档以 985 高校为主，但也有两所 211 高校格外突出，比如西电和北邮， 这两所学校确实在互联网行业认可度极高，我身边不少进大厂的同学都来自这两所院校，所以也不 光只是字节偏爱了，可能整个互联网公司偏爱的第一档都有这些学校。 当然，名单里不只有 985/211 高校，也能看到不少双非院校的身影，比如广东工业大学、哈尔滨 理工大学、杭州电子科技大学、深圳大学、重庆邮电大学等。这些学校虽然不是传统意义上的 "双 一流"，但在计算机、电子等相关领域实力强劲，属于行业内认可度很高的强一本，毕业生在求职时 也很有竞 ...

Core Viewpoint - Microsoft has significantly raised the hardware recommendations for Visual Studio 2026, suggesting at least 64GB of RAM and a 16-core processor to enhance developer experience, despite the minimum requirements remaining unchanged from previous versions [1][2][4]. Group 1: Hardware Recommendations - The minimum and recommended hardware configurations for Visual Studio 2026 are the same as those for Visual Studio 2019 and 2022, which are at least 4GB of RAM and a 4-core processor [2][4]. - The recommendation for 64GB of RAM and a 16-core CPU aims to provide developers with a basis to request better hardware from their IT departments [5][8]. Group 2: Performance Improvements - Visual Studio 2026 is designed to perform better on the same hardware compared to any version released in the past decade, utilizing resources more efficiently [7]. - The new version incorporates adjustments to the .NET garbage collection (GC) settings based on memory and core count, achieving a better balance between hardware cost and performance [6][7]. Group 3: Developer Experience - Developers often receive older hardware configurations, which can lead to suboptimal performance; the new recommendations provide a legitimate basis for requesting upgraded machines [8][9]. - With the official recommendations, developers can more confidently approach their companies for better hardware, potentially reducing issues like lag and crashes, thus improving overall development efficiency [9].