Core Viewpoint - The article highlights the emotional and systemic issues surrounding layoffs in the tech industry, particularly focusing on a Microsoft employee who was laid off after 25 years of dedicated service, emphasizing the disconnect between employee loyalty and corporate decision-making processes [5][7][9]. Group 1: Layoff Details - Microsoft announced a global layoff of 6,000 employees, with some affected individuals sharing their experiences on social media [1]. - Among those laid off was an engineer with 25 years at Microsoft, who was randomly selected by an algorithm for termination [5][6]. Group 2: Employee Experience - The laid-off engineer was described as a dedicated and talented individual, who worked over 60 hours a week and had never taken a sick day, showcasing his commitment to the company [6]. - Despite his contributions, including fixing multi-million dollar bugs and mentoring colleagues, he was dismissed without consideration of his loyalty or experience [6][9]. Group 3: Systemic Issues - The article discusses a broader trend in the tech industry where loyal and high-performing employees are often the first to be laid off due to cost-cutting measures, as their value is not easily quantifiable by algorithms [9][13]. - Comments from readers reflect a sentiment that loyalty to employers is increasingly undervalued, with many suggesting that employees should prioritize their own well-being and seek better treatment elsewhere [10][14][15].

5 月 19 日， 小米通报网络黑公关案的进展，此前有一团伙操控近万个账号诋毁小米。 在雷军微博的留言区，刷到网友发的这张截图。 其实小米法务部前些天还公布另外 2 起案件的结果： ...

Core Viewpoint - Tencent Cloud is facing scrutiny due to issues related to its GO SDK version management, which has led to an increase in tag growth and compatibility concerns [1]. Group 1 - Tencent Cloud acknowledged the problems with its GO SDK's version management, which has resulted in rapid tag growth [4]. - The company is currently optimizing version management and has reduced the rate of tag growth since early this year [4]. - Tencent Cloud is considering a phased approach to clean up existing tags while monitoring compatibility risks associated with this process [4].

以下文章来源于算法爱好者 ，作者小蒜 算法爱好者 . 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。 芯片王者遇难题，被迫转型 不过话说回来，中国本土也有 "狠角色"，部分企业在政府支持下，GPU 研发一路高歌猛进，就等着抢占英伟 达受限后的市场空缺。英伟达新芯片就算性能差点，也得在合规和性能之间找到平衡点，不然云计算、自动驾 驶这些肥肉可就保不住了。 市场反应两极分化，未来扑朔迷离 在芯片江湖里，英伟达那绝对是 "扛把子" 级别的存在，靠着 Hopper 架构的 GPU，横扫全球市场，不管是人 工智能还是高性能计算，只要用上他家芯片，那性能直接起飞。可谁能想到，这两年中美贸易关系越来越紧 张，美国那边不断加码出口管制，活生生把英伟达逼到了墙角。 就说去年吧，为了遵守拜登政府的规定，英伟达不得不推出中国特供版 H20 芯片，这已经够憋屈了，结果现 在还得接着变招。 路透社之前 5 月 9 日曾报道，英伟达计划于 7 月推出 H20 芯片减配版 。不过根据最新消息，英伟达不再给 H20 砍一刀阉割了。 黄仁勋大手一挥：换赛道！ 5 月 17 日路透社报道，黄仁勋在 ...

不懂不懂,有点震撼 飼 飼 V2EX › 水深火热 开源社区要讲素质,请某些生态的开发者停 止 spam Persephone · 3 天前 · 25291 次点击 起因 为了搞清楚这些无意义的 issue 到底目的是什么，简单的搜索了下，发现了这样一条 issue: https://github.com/pillarjs/path-to-regexp/issues/359 在这条 issue 中，"Adaptation Plan" 终于有了实际内容，简而言之就是：希望向上游贡 献在 HarmonyOS 上使用这个包的方式，以及去适配 OHPM 。 然后，"Test Results"写了个: Based on the OpenHarmony system, we conducted unit tests on the original library test cases of dayjs. 提前声明,可能仅仅是社区部分人士行为,和某厂本身关系并不大。 起因是在 Babel 的仓库里看到了一个 issue: https://qithub.com/babel/babel/issues/17309 无 pr， 无 ...

据九派财经报道，近日记者了解到，字节多地工区开始禁止外带餐食。 - EOF - 推荐阅读 点击标题可跳转 1、 突发！TikTok 被重罚 43.6 亿 2、 字节凌晨 3 点突发声明 3、 字节跳动：辞退 353 人，追刑责 39 人 北京一字节员工告诉记者，最近字节发了内部通知，职场三餐、随餐饮品、水果、茶水间零食等应 现场即取即用，不可带离职场。 同时，通知声明职场餐食外带行为，违反餐饮管理规定，严重侵占 情况将会面临退赔、警告、辞退等不同程度的处罚。 职场交流平台相关讨论 。 而字节一位内部知情人士告诉记者： "餐食方面的调整，主要是为了治理多拿多占现象，比如个人 外带大量餐食；职场内用餐不受任何影响。而午休方面，不存在不让午休的说法，员工可以根据个 人需求在工位午休；主要是避免个人物品占用消防安全通道、公共区域。" 午休政策也在发生调整，以前唯一可以关灯午休的深圳工区宣布午睡时不得关灯。由于办公室拥 挤，北京及深圳工区开始限制折叠床的使用。 多位字节员工告诉记者，现在折叠床不能放在公共区域午睡。 对于上述情况，记者向字节跳动方面求证，截至发稿时，未获官方回应。 ...

推荐阅读 点击标题可跳转 1、 小米决定：改名 2、 雷军：过去一个多月，是我创办小米以来最艰难的一段时间 3、 小米上热搜！被爆员工日均工时不低于 11.5 小时，网友吵翻了… "这场交通事故，让我们意识到，公众对我们的期待和要求远超了想象。" 雷军表示，自己此刻才真正的意识到，一直觉得小米是汽车行业的新人，是一家创业的公司 。但这一次的事 件让他深深理解，小米今天的规模、影响力、社会关注度都到了非常高的地方。 雷军表示，"社会和公众要求我们去承担一家真正的大公司行业领导者的责任。我们深刻的意识到，这是我 15 年的小米无可回避的责任。" - EOF - 5 月 15 日晚，雷军在小米价值观大赛后对所有小米员工发表演讲。 雷军在演讲中不仅宣布了自研芯片即将发布，同时也谈到了近期小米遭遇的舆论危机以及对小米公司未来发展 的展望。 雷军称，"三月底，一场突如其来的交通事故把这一切都击碎了。我们受到了狂风暴雨般的质疑、批评和指 责，我和同事们一样，一下子都懵了。一位熟悉汽车行业的朋友告诉我：造车，遭遇交通事故在所难免。谁也 没有想到，这一场事故的影响如此之大，对我们小米的打击也如此之大。" ...

Core Viewpoint - The article discusses the impact of AI on employment, highlighting the personal experience of a software engineer who lost his job and faced significant challenges in finding new employment due to the rise of AI technologies and changing job market dynamics [3][12][30]. Group 1: Job Market Dynamics - The author has submitted nearly 800 job applications over the past year without receiving any offers, illustrating the competitive and challenging job market for tech professionals [4][30]. - The job application process has become increasingly difficult, with AI filtering systems potentially screening out qualified candidates based on outdated or insufficient keywords in resumes [9][10]. - The author faced age discrimination during interviews, where younger interviewers undervalued his extensive experience and knowledge in modern technologies [10][30]. Group 2: Personal Financial Struggles - Despite owning multiple properties, the author is living in a trailer due to financial strain after losing a $150,000 annual salary job [5][6][30]. - The author has resorted to gig economy jobs like DoorDash to make ends meet, often earning less than $200 a day [3][19][30]. - The author has faced bureaucratic challenges with unemployment benefits, receiving inadequate support while being threatened with legal action over business income from Airbnb rentals [21][30]. Group 3: Adaptation and Skill Development - The author has attempted to adapt by learning new AI-related skills and creating AI-generated code libraries, but this has not translated into job offers [13][30]. - Efforts to pivot into different roles or lower-paying positions have also been met with rejection, indicating a broader issue in the job market for experienced professionals [15][16][30]. - The author is exploring alternative business ventures, such as starting a pressure washing company, but lacks the necessary funds for initial investment [17][30]. Group 4: Societal Implications - The article raises concerns about the societal impact of AI on employment, suggesting that the current economic system fails to provide adequate support for displaced workers [31][30]. - The author argues for a reevaluation of labor value and the implementation of universal basic income as a potential solution to the challenges posed by AI [31][30].

Core Viewpoint - The article discusses the challenges faced by technology professionals, particularly in the context of AI advancements leading to job losses and a shift in the employment landscape, exemplified by the story of a programmer named Sean K who has experienced multiple layoffs due to technological changes [1][2]. Group 1: Sean's Employment Journey - Sean K, a programmer with 20 years of experience, faced three layoffs, with the most recent one attributed to AI advancements rather than economic downturns [1]. - Despite his qualifications, Sean struggled to secure interviews, as many companies utilized AI to screen resumes, making it difficult for him to connect with human recruiters [1]. - His previous work involved projects in the metaverse, which lost momentum following the emergence of ChatGPT, illustrating how quickly technology can change industry dynamics [1]. Group 2: Current Living Situation and Financial Struggles - Currently, Sean lives in a trailer in rural New York, relying on gig work and selling old computers to make ends meet, a stark contrast to his previous salary of $150,000 [2][4]. - He owns three properties, but they are financially burdensome due to renovation needs and taxes, further complicating his financial situation [2][4]. - Sean's attempts to transition to a new career, such as truck driving, were thwarted by high training costs, leaving him feeling trapped in his current situation [4]. Group 3: Industry Trends and AI Impact - The article highlights a significant trend in the tech industry, with predictions of 150,000 job losses in 2024 and an additional 50,000 in early 2025, indicating a severe contraction rather than growth [4][5]. - AI is increasingly capable of performing tasks traditionally done by humans, with claims that AI could write 90% of code by September 2023, raising concerns about job security in the tech sector [4][5]. - Sean's perspective reflects a broader societal issue, questioning the relationship between work and survival in an era where AI can potentially replace human labor [5].

Core Viewpoint - Microsoft has announced a global layoff affecting approximately 3% of its workforce, which translates to around 6,000 employees across various departments and business lines, including LinkedIn, Xbox, Azure, and engineering research. This layoff aims to streamline management and improve efficiency rather than being directly linked to AI developments [1]. Group 1 - The recent layoffs at Microsoft are not solely performance-based, unlike the layoffs in January, but focus on management efficiency and organizational structure [1]. - The layoffs have affected notable figures within the company, including a long-time employee who worked on TypeScript for 18 years, highlighting the indiscriminate nature of the cuts [2][4]. - The layoff of a prominent AI director further emphasizes the breadth of the cuts across different levels of expertise within the company [12]. Group 2 - The layoff of Ron Buckton, a significant contributor to the TypeScript project, has raised concerns about the treatment of long-term employees and the implications of AI in workforce decisions [2][4]. - Following the layoff, Ron's contributions to the TypeScript project were removed from the GitHub contributor list, leading to discussions about the transparency and rationale behind such actions [9][11]. - The incident has sparked discussions on social media regarding the future of jobs in tech, particularly in relation to AI and automation [4].