据中国基金报报道，某招聘平台显示，杭州深度求索人工智能（AI）基础技术研究有限公 司（ 即DeepSeek ），发布了多个岗位的招聘信息。 在DeepSeek挂出的职位中，大部分岗位的起薪在 3万元以上 ， 其中 年薪最高可达 154万 元 。 猎聘网数据显示，掌握深度强化学习、多模态融合等DeepSeek核心技术人才， 薪资涨 幅同比超 120% 。 它不仅是技术的颠覆者，更是一场 席卷全球的" 高薪革命 "与" 职业机遇 风暴" ，技术人纷纷想转行、 跳槽到前景光明又高薪的算法岗位。 （深度学习/算法工程师的薪资在各个技术岗位中显然是最高的， 更多技术岗位平均薪资详请见下图） 其他企业为留住和吸引人才，也都相应 提高 薪资待遇， 有的岗位薪资甚至比往年 提高70% ！ 字 节跳动73.5万年薪聘用应届生， 阿里达摩院开出超过 200万年薪。 2025年将是AI人才分水岭—— 要么成为DeepSeek技术红利的收割者，要么被时代无情淘汰！ 高薪，是AI领域缺人的事实依据，但是找不到工作的大有人在，也是事实。 问题就在，申请算法岗的人很多，但实际能够胜任的很少。 求职者所具备的能力根本无法匹配一线企 业核心A ...

Core Viewpoint - REST API is a widely used design pattern for modern web service development, emphasizing resource-oriented architecture and stateless communication [1][2]. Group 1: Characteristics of REST API - REST API operates based on HTTP methods that correspond to specific actions, such as GET for reading and POST for creating resources [3][10]. - Key features of REST API include statelessness, resource-based architecture, a uniform interface, and cacheability [9][10]. - Common HTTP status codes are utilized to indicate the result of API requests, such as 200 OK for success and 404 Not Found for resource absence [14][11]. Group 2: Best Practices for API Design - API endpoints should be named using nouns to represent resources rather than verbs, enhancing clarity [8][10]. - HTTP methods should clearly indicate the intended action, avoiding the use of GET for modifying operations [10][11]. - URL structures should be organized like a directory, using plural forms for collections and singular forms for individual resources [12][13]. Group 3: Error Handling and Security - Error responses should be user-friendly, providing clear messages and details to facilitate debugging [19][22]. - Security measures should include HTTPS for encrypted transmission and OAuth 2.0 for user authentication [20][22]. - Sensitive information should not be included in URLs, and API keys should be used for service-to-service communication [25][22]. Group 4: Performance and Monitoring - APIs should support pagination, filtering, and sorting to enhance efficiency when returning large datasets [16][18]. - Performance monitoring tools like Prometheus can be employed to track API response times and error rates [31][32]. - Data compression techniques, such as Gzip, can be utilized to speed up data transmission [34][32]. Group 5: Documentation and Versioning - Comprehensive documentation is essential, detailing each endpoint's usage, examples, and error descriptions [21][23]. - Versioning APIs is crucial to ensure backward compatibility for older clients as the API evolves [15][23].

Core Viewpoint - The article discusses the WeClone project, which allows users to create personalized digital avatars using their WeChat chat history, enabling a form of digital immortality through language model fine-tuning and voice cloning [2][4][18]. Group 1: WeClone Overview - WeClone utilizes personal WeChat chat records to fine-tune large language models (LLMs), creating a digital avatar that mimics the user's speech patterns and style [4][12]. - The project offers a comprehensive solution from text generation to voice cloning, allowing the digital avatar to not only speak but also sound like the original person [6][18]. Group 2: Core Features - The core functionality includes exporting WeChat chat records, formatting them for model fine-tuning, and supporting low-resource fine-tuning for models ranging from 0.5B to 7B parameters, such as ChatGLM3-6B and Qwen2.5-7B [12][19]. - Model training requires approximately 16GB of GPU memory, making it efficient for small sample low-resource scenarios [13]. Group 3: Voice Cloning - The WeClone-audio module can clone voices with a similarity of up to 95% using just 5 seconds of voice samples, enhancing the realism of the digital avatar [15]. Group 4: Multi-Platform Deployment - WeClone supports deployment across multiple messaging platforms, including WeChat, QQ, and Telegram, allowing users to interact with their digital avatars in real-time [16]. Group 5: Potential Applications - Possible applications include personalized assistant services, where the digital avatar can handle messages and daily tasks, and content creation, enabling the rapid generation of personalized text content [17].

本月，微软宣布了一项裁员计划，涉及全球多个部门， 包括 LinkedIn、Xbox等子公司。 裁员规模约为员工总数的 3%，按照现有规模 22.8 万名员工计算，裁员人数约 6000 人。 这也是微软公司自 2023 年裁员 1 万人以来规模最大的一次。 微软表示，此次裁员旨在精简管理层并提升组织效率，计划将分阶段实施，预计在未来几个月内完成。 微软首席执行官萨蒂亚·纳德拉（Satya Nadella）在内部备忘录中指出，此举旨在"确保我们在关键领域持续投资，同时保持财务纪律"。 裁员释放的资源将优先用于 AI 研发和基础设施，例如在全球建立 AI 创新中心。 本次裁员为以后的 AI 投资扫清了道路～ 对我们开发人员熟知的当属 GitHub Copilot。 近年来，微软加大对人工智能（AI）和云计算（Azure）的投入。 2025 财年计划在数据中心建设上投入约 800 亿美元，以支持 AI 服务需求，AI 云业务增速远超预期，而传统云服务增长放缓。 按最新的数据，GitHub Copilot 的用户规模已突破1500万，较去年增长4倍。微软首席执行官纳德拉表示，GitHub Copilot 已从"编程助手 ...

Core Viewpoint - The article discusses the rise of AI programming tools, particularly focusing on Cursor and its competition, Void, highlighting their features, pricing, and market dynamics. Group 1: Cursor - Cursor is a prominent AI programming tool that builds on the capabilities of VS Code, integrating AI-assisted programming features [1]. - Cursor recently raised $900 million, achieving a valuation of $9 billion, indicating its profitability and market potential [3]. - Microsoft has restricted Cursor's use of official C/C++ and C extensions, suggesting competitive tensions in the AI programming tool market [1]. Group 2: Void - Void is an open-source AI programming tool based on VS Code, designed to offer similar intelligent features while prioritizing data privacy and user autonomy [8]. - Void supports various AI-assisted functionalities, including tab auto-completion, inline editing, AI chat, and flexible model connections [11][12][13][14]. - Void allows users to configure local models and connect to third-party models from providers like Anthropic, OpenAI, and Gemini [20][22][23]. Group 3: Market Dynamics - The article notes the emergence of many alternative versions to Cursor, with Void being highlighted as a free and open-source option [6]. - The competitive landscape is characterized by a mix of proprietary tools like Cursor and open-source alternatives like Void, reflecting diverse user preferences and needs [5][8].

Core Viewpoint - The TIOBE Index for May 2025 highlights Python's dominance in the programming language landscape, achieving a market share of 25.35%, a significant increase of 2.2% from the previous month, marking a rare and substantial lead over its closest competitor, C++ [1][3]. Programming Language Rankings - The top programming languages in May 2025 are as follows: 1. Python: 25.35% (+9.02%) 2. C++: 9.94% (+0.41%) 3. C: 9.71% (-0.27%) 4. Java: 9.31% (+0.62%) 5. C: 4.22% (-2.27%) 6. JavaScript: 3.68% (+0.66%) [2][24]. Python's Market Position - Python's market share surpasses C++ by over 15%, showcasing a dominant position that is uncommon in the programming language rankings [3]. - The historical context indicates that only Java in 2001 had a higher market share than Python currently does [1]. Limitations of Python - Despite its popularity, Python has two main limitations: 1. Performance issues due to being an interpreted language, which inherently runs slower [6]. 2. Higher frequency of runtime errors, as many bugs are only discovered during execution [6][4]. - Critical applications, such as aerospace control systems, still rely on languages like C++ and Java due to these limitations [5][4]. Factors Contributing to Python's Popularity - Python's simplicity and ease of learning have made it the preferred language for many entering the programming field, especially as the demand for programming talent grows amid digital transformation [11]. - The language's extensive ecosystem, including libraries like NumPy, Pandas, TensorFlow, and PyTorch, has further solidified its position in various domains [12][13]. Application Areas of Python - Python is widely used in several fields: - Data analysis: 50% of respondents use Python for this purpose [16]. - Web development: 49% [16]. - DevOps and automation: 35% [16]. - Machine learning: 31% [16]. - Educational purposes: 28% [16]. - Software testing: 26% [16]. - The language is also utilized in scientific computing, numerical simulations, and web development frameworks like Django and Flask [22].

Core Viewpoint - The article emphasizes that AI technology is significantly transforming the job landscape for programmers, with a shift from traditional development roles to positions requiring expertise in AI and large models [1][12]. Group 1: Industry Trends - Major companies like Alibaba Cloud, ByteDance, Tencent, JD.com, and Baidu are integrating AI into their core operations, with a notable increase in job openings related to AI [1]. - Traditional development frameworks and big data tools are losing their relevance, as businesses prioritize skills in AI model application and development [1][12]. - The demand for AI-related technical positions is surging, with salaries increasing by 150%, and top companies offering annual salaries between 700,000 to 1,000,000 yuan for AI talent [1][10]. Group 2: Career Development - The article highlights the urgency for programmers to acquire skills in AI model principles, application technologies, and practical project experience to remain competitive in the job market [1][12]. - A free training program titled "Large Model Application Development Practical Training Camp" is being offered to help individuals enhance their core competencies in AI [2][3]. - The program includes live sessions covering career prospects, typical business scenarios, technical architecture, and hands-on experience with AI technologies like Transformer architecture and Fine-tuning [3][7]. Group 3: Learning Opportunities - The training camp aims to equip participants with the necessary skills to navigate the evolving job market and avoid potential career pitfalls, especially for those nearing the age of 35 [12][19]. - Participants will receive practical resources, including a collection of large model application cases and a white paper on AI commercialization, to aid in their learning and job applications [15][19]. - The course promises insights from industry leaders and opportunities for direct referrals to major companies, enhancing participants' chances of securing high-paying positions [17][19].

Core Viewpoint - Huawei officially announced the global launch of its first HarmonyOS 5-powered computer on May 19, marking a significant shift towards its own operating system and away from Windows due to previous sanctions [1]. Group 1: Product Announcement and Features - The HarmonyOS 5 computer will be released on May 19, indicating Huawei's full transition into the Harmony era [1]. - The operating system is designed to deeply integrate AI capabilities with hardware, software applications, and the operating system itself, providing a refined, intelligent, secure, and smooth user experience [5]. - HarmonyOS 5 utilizes distributed soft bus technology for dynamic cross-device computing and employs EROFS high-performance compression technology, enhancing random read performance by 300% compared to traditional systems [8]. Group 2: Ecosystem Development - Huawei has applied for multiple trademarks related to "Harmony Computer," indicating plans for a broader ecosystem [3]. - The company aims to establish a comprehensive ecosystem, with over 150 leading applications already in development and more than 300 applications adapted for the HarmonyOS [29]. - By the end of the year, Huawei expects to support over 2,000 applications and has already integrated support for over 1,000 peripherals [29]. Group 3: User Experience and Feedback - Users have expressed a desire for a proprietary operating system for information security, while some comments suggest skepticism about the uniqueness of the system compared to existing platforms like Microsoft and Apple [9]. - The system features customizable desktop options, allowing users to define icons and taskbar styles according to their preferences [14]. - The upgraded AI assistant, now termed "Super Assistant," supports various functionalities such as voice-generated presentations and automatic meeting summaries [21].

JackCui . 一名热爱技术的算法工程师。分享技术，乐享生活：技术、快乐、财富。 今天我们来聊聊最近舆论火热的"辅助驾驶"。 小米汽车最近悄悄进行了一项意味深长的改动——将原先宣传中的"智驾"功能，正式更名为"辅助驾 驶"。 与此同时，创始人雷军在小米之家的职务也发生调整：由"执行董事"变为"董事"。一时间，"小米智 驾改名""雷军降职"等话题迅速登上热搜。 这一次，小米到底在"怕"什么？这项改名背后，又暗藏着怎样的技术壁垒和行业困境？ 以下文章来源于JackCui ，作者JackCui 乍一看只是文案更新，实则我认为是一场对外宣传的态度转变。 广大细心的网友也可能会联想到，这次改名是否跟之前3月底铜陵高速事故着紧密的联系。那次事件 让大家意识到一个问题：原来我们以为的"智能驾驶"，离真正的"自动驾驶"还有很大差距。 网络舆论：有人调侃，有人理解 对于这次改名，网友们也是议论纷纷： 总的来说，舆论可以分成两大阵营： 其实，小米这次并不是一个人"低调下来"。整个行业都在被监管收紧，特别是在宣传上。 这就要说到今年4月16日，相关部门召开的那场会议："智能网联汽车产品准入及软件在线升级管理 工作推进会"。 简 ...

我总觉得咱们干开发的用不上名片，干我们这行的不就靠技术说话，谁还看那张纸片儿？ 近期看到一组 ChatGPT 生成的程序员名片，感觉还挺有意思，内行一看就是干开发的，拿出去交际用，也不知道行不行～ 提示词一 特写镜头：一只手正拿着一张设计成 VS Code 中 JSON 文件外观的名片。名片上的代码以真实的 JSON 语法高亮格式呈现。窗口界面包含典型的 工具栏图标和标题栏，标题显示为 Business Card.json ，整体风格与 VS Code 界面完全一致。背景略微虚化，突出展示名片内容。 名片上的 JSON 代码如下所示： { "name": "Jamez Bondos", "title": "Your Title", "email": "your@email.com", "link": "yourwebsite" } 我自己跑去试了下，中文支持貌似还不够完美，不过感觉很高端了： {file format}: JSON, XML, YAML 去掉手，再去掉中文试试效果好像更好，感觉可以去印几张出来，虽然没客户： 提示词二 看看其他网友的名片分享： Umesh Create business car ...