以下文章来源于MaxAIBox ，作者Max MaxAIBox . MaxAIBox.com 汇集优秀 AI 工具，探索 AI 无限可能 在 Java 诞生 30 周年的专访中，Java 之父詹姆斯·高斯林（James Gosling）多次谈及对人工智能（AI）的看 法。 他以技术亲历者的视角，揭开 AI 热潮下的冷静思考，其观点贯穿对技术本质的洞察与行业伦理的反思。 对近年大火的 AI 编程助手，高斯林承认其"初始演示很吸引人"，但尖锐指出："项目稍复杂就会失灵"。 他揭示这类工具的底层缺陷： 依赖代码爬取现有样本，只能复制已知模式 ，而专业开发的核心是"解决未重复 的新问题"，优质方案早已被封装为库，真正的挑战在于创造性架构设计。 AI 本质批判：拒绝炒作，回归技术本源 高斯林对 AI 的核心质疑集中于 术语滥用 与 本质误读 。 他直言："人工智能和机器学习的最大问题是名字"，认为"高级统计方法"才是它们更准确的定位。（当然了， 他承认这些系统背后的数学原理令人印象深刻。） 在他看来，当前被热捧的 AI 技术本质上是"极其复杂的锤子和螺丝刀"——是人类可操控的工具，而非具备自 主推理能力的"智能体"。 ...

Core Viewpoint - The article illustrates a unique approach to evaluating AI responses by comparing outputs from multiple AI models, highlighting the importance of experimentation in selecting the best-performing solution [1]. Group 1 - The individual tested five different AI models: ChatGPT, Gemini, Claude, Grok, and DeepSeek [1]. - Each AI was asked the same question to ensure a fair comparison of their responses [1]. - The results were compiled into separate Python files for simultaneous execution, showcasing a methodical approach to identifying the most effective AI [1].

Core Viewpoint - The rapid rise of AI applications has led to significant changes in the job market for technology professionals, with traditional roles facing salary cuts and layoffs while demand for AI model talent increases dramatically [1] Group 1: Industry Trends - The urgency for AI application acceleration has shifted employer focus from traditional coding skills to the necessity of experience with AI large models, making it challenging for candidates lacking this experience to secure positions [1] - Companies are increasingly looking for candidates with a combination of AI application technology and project experience, rather than just coding proficiency [1][2] Group 2: Career Development Opportunities - There is a call for professionals to proactively fill the 30% knowledge gap in AI, from understanding large model principles to practical application, to enhance their career prospects [2] - A training program is being offered to help individuals master AI large model technology and navigate the job market effectively, with a focus on real-world applications and project experience [3][4] Group 3: Training Program Details - The training includes live sessions covering typical business scenarios, technical architecture, and core principles of AI large models, such as RAG and Transformer architectures [3][13] - Participants will gain insights into current hiring trends in major companies, including job roles, salaries, and career development paths from the perspective of interviewers [6][7] - The program promises to provide practical experience through project case studies, allowing participants to build a portfolio that enhances their employability [11][16]

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。 近日，已停止运营的聚合搜索引擎 F 搜陷入法律风波，其开发者在 V 站发帖透露，F 搜被 360 起诉并索赔 500 万元。 这一消息引发了众多关注，也让人们再次将目光聚焦于搜索引擎领域的竞争。 以下文章来源于算法爱好者 ，作者小蒜 开发者自称咨询律师后发现，应对诉讼可能需要 1-2 年时间及 100-200 万元费用，而 F 搜本身并非营利项 目，无力承担这一成本。 F 搜主要通过调用谷歌和必应的搜索结果，运用自身算法进行整理，帮助用户高效获取所需内容，同时过滤掉 一些垃圾站点。2022 年，F 搜因域名被暂停解析，最终停止运营。 360 的诉求 此次 360 起诉 F 搜，一共提出了四项诉求。 F 搜开发者的回应 首先，要求 F 搜两被告立即停止不正当竞争行为，即停止实时访问、抓取、储存并使用 360 的图片搜索 数据。 其次，判令被告一在（早已关闭的）F 搜网站、（实际并不存在的）F 搜官方微信公众号以及官方新浪微 博的显著位置刊登声明消除影响，刊登时间不少于 30 日，字体为五号，显示范围全 ...

" 这很刑啊 "系列有些时间没更新了，今天来一篇。 靠着这套"AI 万能"的话术，他前后从风投手里骗到了 4000 多万美元，甚至还登上了科技媒体的创业先锋榜 单。 2021 年 6 月，Nate 完成 A 轮融资 3800 万美元，估值达到 3.1 亿美元。 大家好，我是小程程 创业神话的起点：用 AI 一键购物的"魔法 APP" 2018 年，西班牙巴塞罗那的 35 岁创业者阿尔伯特·萨尼格搞了个大新闻：他推出了一款叫 Nate 的购物 APP，号称能用 AI 实现"一键剁手"买买买。 想象一下，你在电商网站看中一双鞋，打开 Nate 点一下"买"，AI 就会自动帮你选尺码、填地址、付款，全程 不用手动操作。 这听起来比哆啦 A 梦的口袋还好用，瞬间吸引了一堆投资人。萨尼格在融资 PPT 里拍着胸脯保证："我们的 AI 能全自动完成交易，人工干预？那是不存在的！" 为了把故事讲圆，他还搞了套"技术壁垒"的说辞：什么自研 AI 算法、数据科学家团队，把投资人听得一愣一 愣的。 当时谁也没想到，这个看似要颠覆电商的"未来科技"，其实是个连自动化率都敢标 0% 的惊天骗局。 人工外包的真相：菲律宾呼叫中心的"A ...

Core Viewpoint - The Federal Trade Commission (FTC) has officially withdrawn its antitrust lawsuit against Microsoft's $69 billion acquisition of Activision Blizzard, marking a significant victory for both American gamers and political rationality [1][2]. Group 1: Acquisition Details - The acquisition, which began in January 2022, has positioned Microsoft's gaming business as the third largest globally, integrating over 30 top IPs from Activision Blizzard [2]. - Following the acquisition, the Xbox Game Pass library has expanded to over 5,000 games, with subscription users increasing by 60% to 40 million, generating annual subscription revenue exceeding $6 billion [2]. Group 2: Regulatory Challenges - The FTC initially opposed the acquisition due to concerns over monopoly risks, particularly fearing a decline of 3 million units in annual sales for Sony's PS console if the Call of Duty series was removed from the platform [2]. - Microsoft has committed to keeping the Call of Duty series available on the PS platform for ten years and has agreed to open cloud gaming licenses to third parties, which ultimately persuaded the court to allow the acquisition [2]. Group 3: Global Regulatory Agreements - Major global regulatory bodies have reached settlement conditions, with the EU requiring open cloud gaming transmission channels and the UK establishing an independent regulatory committee, leading Microsoft to divest some cloud gaming rights [2]. Group 4: Integration Challenges - Despite the legal hurdles being cleared, the integration of Activision Blizzard presents ongoing challenges, including declining revenue and cultural conflicts within the studios leading to talent loss [2][3]. - The FTC retains the right to initiate an administrative trial in July, theoretically allowing for the potential breakup of the merged entity, indicating that the true test of integration is just beginning [3].

Core Insights - Brendan Gregg is a renowned expert in performance analysis, having worked for major tech companies like Netflix and Intel, and is known for creating widely used performance analysis tools such as flame graphs [1][3][6] - The article discusses Brendan's experiences and insights from three years of remote work, particularly focusing on the challenges and misconceptions surrounding remote working arrangements [4][5][6] Remote Work Experience - Over the past three years, Brendan participated in 77 meetings scheduled between 1 AM and 6 AM, averaging one every two weeks, while working for Intel remotely from Australia [6][7] - Despite the unusual working hours, Brendan does not feel that his work hours are excessively long, aiming to clarify misconceptions about remote workers' lifestyles [6][9] Meeting Management - Brendan suggests recording non-working hour meetings to manage expectations and save time, sharing statistics on the number of late-night meetings he has attended [11] - He advises against complaining about work hours, as it may be used by management to oppose remote work arrangements [11][12] Maintaining Productivity - Keeping a daily record of completed tasks has proven effective for Brendan in maintaining motivation and productivity [12] - He emphasizes the importance of clarifying misunderstandings about his availability, as others may incorrectly assume he is unavailable due to time zone differences [12][13] Health and Well-being - Brendan notes that frequent early meetings can lead to gastrointestinal discomfort, which can last for several days [13] - He reports a significant reduction in sick days taken, averaging 0.33 days per year during remote work compared to 1.5 days in his previous in-office role [13] Time Zone Challenges - The differences in daylight saving time adjustments between hemispheres complicate scheduling, with Brendan's working hours overlapping with the US West Coast varying by 3 to 5 hours throughout the year [13][14] - He has experimented with different work schedules to better accommodate family time while managing work commitments [14] Career Development Concerns - Remote work may limit career advancement opportunities, as local employees often receive more visibility and opportunities despite remote employees' capabilities [15] - Brendan compares remote and in-office work experiences, noting that the nature of work and communication methods can make remote work comparable to in-office settings [15][16] Successful Remote Work Examples - The Linux development community serves as a successful example of global remote collaboration, highlighting that remote employees can still participate in significant company events [16] - Brendan's own experiences with remote work illustrate the potential for productivity and collaboration despite common misconceptions about remote working conditions [16]

Core Viewpoint - The article emphasizes the critical role of FFmpeg in the digital media landscape, suggesting that its sudden disappearance would significantly disrupt major platforms like Pornhub, YouTube, Netflix, Instagram, and TikTok [3]. Group 1 - FFmpeg is portrayed as an essential tool for video processing and streaming, indicating its widespread use across various popular platforms [3]. - The humorous tweet shared by FFmpeg highlights the potential chaos that would ensue if the software were to vanish, underscoring its importance in the industry [3].

Core Insights - The article emphasizes that "ambient programming" should not be an excuse for low-quality work, highlighting the importance of maintaining software quality despite the rapid development facilitated by AI tools [2][3][25]. - It argues that while AI-assisted programming can lower barriers for novice programmers and enhance creativity, it does not guarantee high-quality code, and unreviewed AI-generated code can lead to significant technical debt [3][4][25]. Group 1: Benefits and Challenges of AI-Assisted Programming - AI-assisted programming can democratize software development, allowing non-programmers to create functional software by simply describing their needs [2][3]. - However, the quality of AI-generated code is often questioned, as rapid code generation does not equate to high quality, and unexamined code can introduce vulnerabilities and maintenance challenges [3][4][10]. Group 2: Best Practices for Integrating AI in Development - Developers should treat AI-generated code as if it were written by a junior developer, requiring thorough review and optimization to meet quality standards [8][10]. - Key practices include understanding AI outputs, restructuring code for clarity, adding error handling, and ensuring robust testing [9][10][12]. Group 3: Situations for Effective Use of AI - AI is best utilized in scenarios where speed is prioritized over perfection, such as rapid prototyping, one-off scripts, and structured tasks [24][21]. - Conversely, AI should not be relied upon for complex systems requiring deep business logic, high security, or long-term maintainability, as these areas demand human expertise [21][24]. Group 4: Conclusion and Future Outlook - The article concludes that while "ambient programming" is a powerful accelerator, it is not a one-size-fits-all solution and should be used responsibly with human oversight [25][26][27]. - The future may see AI becoming more advanced, potentially allowing "ambient programming" to become the default method of software development, but currently, it serves best as a supportive tool under careful supervision [27][28].

5 月 20 日下午，突然收到 4 条投诉（撤销了 1 条）。 打开一看，3 条投诉的对象竟然都是同一篇文章 。 投诉理由如下截图： 《 悲剧！猿辅导员工猝死在公司，前员工痛揭：单日加班 6 小时，连吃饭上厕所都要报备 》 这篇文章 根本没讨论"猝死员工信息"。 所谓的"恶意翻炒大量针对猿辅导虚假的旧闻旧事"，又不是无中生有，空穴来风，那是引用了 2023 年 的媒体报道。 所以投诉理由和逻辑都是 乱七八糟的。 投诉时间 14:09 和 14:10，撤销时间 15:59 ，惊人的一致。 他们就是 拿着同一个模板在批量投诉。 而且还不走心，同一篇文章，反复投诉高达 4 次。 吾从未见过有如此刷 KPI 之人 好在微信平台审核后都给驳回了。 推荐重温： 《 某辅导加班有多离谱？员工："小缅北" 可不是白叫的！真实工作体验大曝光 》 《 猿辅导回应员工猝死：当天并没安排加班。网友：自愿加班？ 》 对了，我们另外一个公号也转发了那篇文章，也被他们投诉 2 次，撤销 1 次。 ...