中国公司规避限制的常见方法是： 算法爱好者 . 以下文章来源于算法爱好者 ，作者小蒜 据外媒报道，中国公司又想出了一个独门绝招：那就是带着硬盘直接飞往国外，在海外数据中心完成 AI 训 练，再把结果带回国内。 算法是程序员的内功！「算法爱好者」专注分享算法相关文章、工具资源和算法题，帮程序员修炼内 功。 自从美国在 2022 年出于所谓"国家安全"考虑，不断收紧对中国高端 AI 芯片的出口限制后，中国的 AI 公司那 可没闲着。 一、美国封锁下中国 AI 公司的"奇招" 正所谓，你有张良计，我有过墙梯。 （外媒 WSJ 报道截图） 就说今年 3 月初，4 名中国工程师从北京飞到了马来西亚吉隆坡。 每个人都拖着一个行李箱，里面装着 15 块硬盘，这些硬盘里存着 80TB 的数据，像训练 AI 模型用的图片、 视频和表格啥的都在里面。 到了马来西亚后，他们直奔一家租用了约 300 台搭载 Nvidia 先进芯片服务器的数据中心，把数据输进去训 练，训练完再带回中国。 二、复杂的跨境操作之路 中国公司为了把数据带到国外，那可是煞费苦心，精心准备了好几个月。他们发现通过网络传大量数据太费时 间，所以就选择直接带着硬盘 ...

这场"闪电战"的背后，是阿里巴巴深刻的战略考量。在经历了长达两年的大规模架构调整、精简庞大业务帝国 后，公司正重新聚焦于电商与云计算两大主航道。而 AI，被视为盘活这一切的关键。 蔡崇信解释了公司选择将 Qwen 模型开源的核心逻辑：这不仅是为了在技术上与对手一较高下，更重要的是 为了"让 AI 使用更加普及"，从而推动各类应用的爆发式增长，最终反哺阿里巴巴的核心业务 —— 云计算。 "开源带来的好处在于…… 它会拉动对 AI 训练和推理资源的需求，"他指出，"我们也看到，未来推理等环节会 有大量需求。" 根据第三方平台 Hugging Face 的排名，阿里的 Qwen 模型目前已成为全球最受欢迎的开源大型语言模型之 一。 转自：网易科技 综合彭博社与南华早报报道，面对激烈的行业竞争，阿里巴巴正将未来押注于 AI。 阿里董事会主席蔡崇信近日在巴黎 VivaTech 大会上坦言， 公司曾一度"迷失方向"，而如今，一场由 DeepSeek 引发的危机感，正迫使这家科技巨头以"春节不休"的决心，加速追赶 。 2025 年 1 月，DeepSeek 以其低成本、高性能的 AI 模型震惊业界时，阿里巴巴的工程师们感受 ...

当我准备修改 Web 服务器配置文件的时候 ↓↓↓ 往期趣图 （点击下方图片可跳转阅读） ...

Core Insights - TP-Link's overseas subsidiary, Lianzhou International, has undergone rapid layoffs in its Shanghai Zhangjiang WiFi chip department, with a compensation plan of N+3 [1][3] - The company was split in 2022 into domestic (TP-Link Technologies) and overseas (Lianzhou International) divisions, focusing on the overseas market [4] - TP-Link holds approximately 65% market share in the U.S. router market and collaborates with over 300 internet service providers in the U.S. [4] Layoff Details - The layoff process was swift, with notifications in the morning, signing in the afternoon, and departures by evening [1] - Some former employees expressed acceptance of the high compensation, while others viewed it as "trauma compensation" after prolonged high-pressure work conditions [3] Market Position and Challenges - TP-Link is a popular brand on Amazon and provides internet communication services to the U.S. Department of Defense and other federal agencies [4] - In December 2024, the U.S. initiated an investigation into TP-Link citing "national security risks," with potential sales bans discussed for 2025, although no definitive actions have been taken yet [4]

Core Viewpoint - The article discusses the evolution of Alibaba, highlighting the shift from a mission-driven company to one focused on short-term metrics and internal competition, raising concerns about its future sustainability and values [3][4][30]. Group 1: Reasons for Alibaba's Success - The company benefited from significant economic trends, with GDP growth from $1 trillion in 1999 to an expected $18 trillion by 2024, and internet users increasing from 8.9 million in 1999 to nearly 1 billion by 2020 [6][12]. - Strategic foresight from founder Jack Ma led to successful ventures like B2B, Taobao, Alipay, and Alibaba Cloud, which were built on strong resource integration [7]. - A unique corporate culture fostered teamwork and a shared vision, allowing employees to feel valued and respected [8]. - Institutional frameworks supported employee engagement and loyalty, emphasizing customer first, employee second, and shareholder third [9]. Group 2: Signs of Decline - Since 2017, the company has experienced a slowdown in growth, with internet user growth rates dropping to single digits and expected to plateau around 1.1 billion by 2024 [12]. - Many strategic acquisitions have failed, such as the purchase of Koubei and Ele.me, which did not yield the expected market dominance [13][14]. - Internal innovation has stagnated, with few successful new ventures outside of e-commerce-related businesses [17]. Group 3: Internal Issues - Employee morale has declined, with a culture shift towards short-term results over long-term vision, leading to a lack of commitment to the company's original mission [18][19]. - There is a growing issue of "wild dog" culture, where aggressive competition for short-term gains undermines collaboration and trust among employees [20]. - Financial issues include grade inflation and unclear performance metrics, leading to a lack of transparency and accountability [21][22]. Group 4: Cultural Erosion - The company's core values have weakened, with a shift towards prioritizing individual performance over collective goals, resulting in a loss of teamwork and integrity [32][33]. - The emphasis on results has led to unethical practices, including data manipulation and a culture of mistrust [35]. - HR has failed to uphold the company's values, focusing more on performance metrics than on employee welfare and cultural integrity [38][40]. Group 5: Recommendations for Improvement - The company should restore its core values and ensure they are integrated into performance evaluations to foster a healthier work environment [43]. - HR needs to refocus on employee support and cultural preservation, reducing the emphasis on performance metrics [39][40]. - A transparent performance and promotion system should be established to eliminate favoritism and ensure accountability [44].

Core Insights - Apple's internal development team has transitioned from Java to Swift due to performance and efficiency demands, resulting in a 50% reduction in hardware utilization, 90% decrease in memory usage, and a 40% increase in throughput [1][3] Group 1: Performance and Efficiency - The service operates on a Linux system with a layered encryption mechanism, increasing the computational resources required for each request [2] - Java's garbage collection (GC) issues prompted the search for an alternative language, as GC pauses and performance overhead were significant concerns [2] - Swift's automatic reference counting (ARC) offers a different memory management approach, leading to a 90% reduction in memory usage and halving hardware utilization [3] Group 2: Code Quality and Development - The migration to Swift resulted in an approximately 85% reduction in code lines, attributed to Swift's features that promote clearer and more concise code [3] - Swift emphasizes protocols over inheritance and utilizes async/await for concurrency, enhancing code clarity and safety [3] - The choice of Swift over other languages like Go or Rust was influenced by internal factors, although similar performance improvements could be expected from those languages as well [3]

近日，钉钉产研负责人元安（花名）离职时在阿里内网发表了近万字长文，谈及阿里的发展历程、现存 问题及相关建议。阿里创始人马云也作出了回复。 这两件事还都刷屏并上热搜了。 "我们仍旧是个大公司，但我们变得平庸" 元安提到，阿里的使命是让天下没有难做的生意，愿景是成为一家活 102 年的好公司。自己当初也是受这一 使命感召加入阿里。"那时候被尊重不是因为阿里人收入高，更多的是阿里人很善良，我们的产品帮助了很多 人。" 但他 15 年走下来，发现外部社会舆论和阿里内部员工心态，都发生了巨大改变，已经失去了以前那种要为社 会带来美好改变的梦想。 "我们谈论的是 KPI，是工资，股票，房子，我们把客户和用户当流量当数据，看我们的是怎样运营数据，怎 样收割客户。" 在他看来，阿里往昔的辉煌得益于时代机遇、马云的战略眼光、价值观的凝聚以及良好的制度保障。然而，自 2017 年起，他察觉到阿里开始出现疲态。 随着互联网整体增长的放缓，阿里的外部竞争力在衰退，内部管理积弊。元安认为，阿里的外部收购多数失 败，例如口碑、饿了么、优酷、Lazada 等收购业务均未达预期，仅高德、UC 尚且成功，核心问题在于 "重运 营数据、轻长期服 ...

Core Viewpoint - The article discusses the recent controversy surrounding the open-source tool AList, which has reportedly been sold and is now facing significant backlash due to the new owner's questionable history [1]. Group 1 - AList has been taken down, leading to a surge of discussions and complaints, with approximately 350 posts in a closed issue thread [1]. - The closure of the issue thread indicates a significant level of user dissatisfaction and concern regarding the future of AList under new ownership [1].

Core Viewpoint - Apple has introduced a significant user interface redesign called "Liquid Glass" across all its operating systems, marking the largest change in 12 years, which aims to enhance visual consistency and user experience [1][2][3]. Group 1: Design Language and Historical Context - The new design language, "Liquid Glass," is described as Apple's most comprehensive design update to date, emphasizing a unified aesthetic across iOS, iPadOS, and macOS [2]. - Historically, Apple's interface design has evolved from skeuomorphism to flat design with the introduction of iOS 7 in 2013, which eliminated complex decorations in favor of simplicity and color [2][3]. - The last major change in the iPhone software's basic elements occurred 12 years ago, indicating a long period of stability before this new update [3]. Group 2: Features and Technical Aspects - "Liquid Glass" introduces a new visual effect that enhances icons and interface elements, adapting to different lighting conditions and backgrounds, and utilizes real-time rendering technology [18][19]. - The design aims to create a fluid experience that is visually appealing while maintaining familiarity for users [3][19]. - However, the new design may pose performance challenges, particularly for older devices, as the transparency and rendering effects could lead to increased power consumption and potential lag [20][21]. Group 3: Developer Challenges - Developers will need to adjust their applications to align with the new design paradigm, which may complicate cross-platform development, especially for frameworks like Flutter that rely on custom rendering [23][24]. - The transition to "Liquid Glass" may require significant reworking of existing applications, as the new design heavily depends on platform-specific graphical capabilities [23][35]. - Concerns have been raised regarding accessibility, as the high transparency levels could affect text readability against complex backgrounds [24][32]. Group 4: Market Position and Competitive Landscape - While "Liquid Glass" has been highlighted as an exciting feature, it also underscores Apple's current lag in the AI sector compared to competitors who are rapidly integrating AI technologies into their products [8][14]. - The divergence in design languages between Apple and competitors like Google, which recently introduced its own visual style, indicates a growing divide in user interface expectations across platforms [34][35].

Core Viewpoint - The article emphasizes the urgent need for AI-related skills in the job market, highlighting a significant demand for professionals who can work with AI technologies, particularly in large companies, where salaries can reach 700,000 to 1,000,000 CNY annually for those with relevant skills [1][3]. Group 1: AI Talent Demand - The demand for AI-skilled professionals is far greater than the supply, creating a substantial opportunity for those looking to advance their careers or transition into AI-related roles [3][4]. - Companies are particularly interested in candidates who understand AI application development technologies such as RAG, Agent, fine-tuning, and Function Call, which are essential for creating popular applications like intelligent customer service and AI assistants [1][15]. Group 2: Training and Development Opportunities - A practical course titled "Large Model Application Development Practical Training Camp" is being offered to help individuals quickly acquire foundational knowledge in AI model principles, application technologies, and project experience [3][7]. - The course is designed for all technical professionals, regardless of their current role, and aims to facilitate career transitions into high-paying AI positions [4][11]. Group 3: Course Features and Benefits - The course includes insights from industry experts, covering the principles of large models, practical applications, and career development strategies, along with continuous job referral opportunities [9][12]. - Participants will gain hands-on experience through case studies and project simulations, which can be directly added to their resumes, enhancing their employability [12][18]. - The training program has successfully served over 20,000 students, with many achieving high-paying job offers after completion [17].