Core Viewpoint - The TIOBE index for December 2025 shows that the R programming language has re-entered the top ten, indicating a growing demand for deep data analysis and visualization in enterprises [1][3]. Group 1: R Language Insights - R language is a specialized tool designed for statistical analysis and data visualization, maintaining its stronghold in academia and research-intensive industries [1][5]. - Unlike general-purpose programming languages, R focuses on statistical modeling and data processing, excelling in its niche [4]. - The competition between R and Python has ended, with Python dominating the general programming landscape [6][8]. - R plays a core role in academic and research settings, while industries prefer Python for its unified technology stack [11]. Group 2: TIOBE Index Rankings - The top ten programming languages in December 2025 are Python, C, C++, Java, C, JavaScript, Visual Basic, SQL, Perl, and R [19]. - C is noted as the fastest-growing language, evolving from a Windows-only enterprise language to a modern, cross-platform, open-source representative [15]. - C and Java are now nearly equal in game development, web services, and cloud-native applications [17]. - The historical ranking of programming languages from 1985 to 2025 shows significant shifts, with Python rising to the top position [25].

在迈阿密海滩巴塞尔艺术展上，一群戴着马斯克、扎克伯格等名人逼真面具的机器狗四处迅速走红，我第一眼看到时，只能说亮瞎我狗眼了，又诡 异又恐怖： 从屁股还能拉出一张张 AI 生成的艺术卡片 这是数字艺术家 Beeple 在迈阿密巴塞尔艺术展推出的 "Regular Animals" 系列：七只肉色机器狗套着硅胶名人头，涵盖马斯克、扎克伯格、贝 索斯等科技巨头。 展出当场被抢光，单价 10 万美元（约 70 万人民币）。 有钱人的世界我们不懂，但有钱人的胆子，是真的大。 这哪里是宠物？这分明是赛博守墓人。 当它静止时，像是一个诡异的现代艺术品， 当它向你走来时，那画风简直了～ 所以，70万一只，到底是谁在买？放家里当门神吗？ 网友神评： 如果有人免费送你一只这样的"人头狗"，前提是你必须把它放在卧室里陪你睡一晚， 你敢要吗？ 1、科技尽头是玄学 2、 好消息：买了它，家里再也没进过贼。坏消息：我自己也不敢回家了。 3、这造型，一般的防火墙防不住，建议给系统里写个急急如律令的代码，或者机身上贴个符。 4、 马斯克是不是对人类最好的朋友有什么误解？这明明是人类最大的噩梦。 5、 我想知道，这东西半夜需不需要充电？它充电 ...

在线地址： https://next-ai-drawio.jiang.jp/ 平时搞搞开发，老板或产品经理突然跑过来，给你扔了一堆需求文档，然后轻飘飘的说一句：" 把这个系统架构图画一下，要用最新的图标标注，今天 下班前给我 。" 打开 draw.io，找图标，连线，摆布局，调样式…… 一张复杂的架构图画下来，半天过去了， 发现箭头歪了、框大小不一致、图层乱成一锅粥，最后成品还被说"嗯……能不能更美观一点"。 今天介绍个好用的画图 项目 -- Next AI Draw.io ，它可以 让 AI 替你画图、改图、重画图的 draw.io 超级外挂。 现在 Star 数都来到了 4k+： | | ⊙ Watch | 235 | | ಕ್ಕಿ Fork 3.3k | ▼ | Star | 45.5k | | --- | --- | --- | --- | --- | --- | --- | --- | | Add file | | く> Code V | | About | | | | | 2 days ago | 1 447 Commits | | Windows inside a Docker containe ...

1、是否取消保存？我愣是思考了半天～ 当年有上过当吗？ 2、世界上最小的东西永远是广告的关闭按钮 手机广告上的关闭按钮 "X" 都小得像用显微镜才能看到。 3、 请选择正确答案(_) A: (b) B: (d) C: (a) D: (c) 4、这个音量调节要累死个人～ 不如这个直观： 5、微信上的文件传输 这个文件传输大小我也碰到过，也不止一家这样～还有很多平台只允许上传 PNG 图片，等把 JPG 转为 PNG，然后告诉你图片尺寸不对，长度不 能超过1024，最后还可能让你不要上传大于 2M 的图片，就是各种卡～ 6、我自己用的苹果鼠标一直想吐槽下，苹果这个充电设计不优雅 每次拿出来充电像躺尸： 7、现在这种图片的验证码也是神烦～ 8、很多密码设置也是出奇的厉害 密码长度必须为 8 个字符， 7 个字符或 9 个字符都不行，除非你接着使用 8 个字符。 10 个字符绝对不行！ 接下来还有继续卸载，问题反馈的过程，就是不能一步卸载～ 还有这种极其复杂的密码设计： 找回密码的过程： 9、有没人体验过 350 的卸载过程？ 继续卸载这种操作好好几步 输入密码：密码错误！ 重新输入：密码错误！ 找回密码：请输入新密 ...

几乎同时，我的猎头朋友发了条朋友圈： " 急招AI大模型工程师，年薪120万起！ 持续三个月没招到合适的人，求推荐……" "刚收到通知，整个后端小组都被优化了，连 十年经验的大佬 也没留下。" 凌晨一点，群里的粉丝发了这条消息。 | Alvi Horro Ele M | 25-35K-15薪 | 大模型应用开发工程 20-40K-15薪 | ai应用开发工程师 | 50-70K-16薪 | | --- | --- | --- | --- | --- | | (大模型方向) | | S | ◎ 北京 ·朝阳区 ·大山子 ● 3-5年 | 含 本科 | | 4 北京 ·朝阳区 ·酒仙桥 ● 3-5年 | ◎ 本科 | 2 北京 ·海淀区 ·西北旺 ● 1-3年 窗 本科 | | | | 郑先生 同程旅行 · 招聘者 | | 李石磊 百度 · 资深工程师 | 张先生 同程旅行·數据库运维研发主管 今日活跃 | | | 4月内活跃 | | 昨日活跃 | | | | 职位详情 RAG 智能体 MySQL Redis | 大横型 | 职位详情 智能体 Java Agent 深度学习 大楼型舞法 | 职位详情 RAG 向量 ...

昨天 DeepSeek 发布了 DeepSeek-V3.2 和 DeepSeek-V3.2-Speciale，DeepSeek-V3.2 推理达 GPT-5 水平（略逊 Gemini-3.0-Pro）， 目前 官方网页端、App 和 API 均已更新为正式版 DeepSeek-V3.2。 | Benchmark | GPT-5 | Gemini-3.0 | Kimi-K2 | DeepSeek-V3.2 | DeepSeek-V3.2 | | --- | --- | --- | --- | --- | --- | | | High | Pro | Thinking | Thinking | Speciale | | AIME 2025 | 94.6(13k) | 95.0(15k) | 94.5(24k) | 93.1(16k) | 96.0(23k) | | 美国数学邀请赛 | | | | | | | HMMT Feb 2025 | 88.3(16k) | 97.5(16k) | 89.4(31k) | 92.5(19k) | 99.2(27k) | | 哈佛 MIT 数学竞赛 | | | | | | | ...

Core Viewpoint - The article emphasizes the importance of having a side business for programmers, highlighting the need to think like a businessman rather than just focusing on coding skills [5][6][9]. Group 1: Necessity of Side Businesses - The article discusses the vulnerabilities of relying solely on a primary job and the risks associated with a single career path, advocating for side businesses as a means to enhance career possibilities and financial security [9][10]. - Side businesses are viewed as platforms for gaining greater freedom, testing new technologies, and improving business sensitivity [10]. Group 2: Resources and Pathways for Side Businesses - The article identifies three core resources essential for side businesses: time, assets, and knowledge/network [14][16]. - It defines assets as anything that can generate passive income, including stocks, bonds, real estate, and intellectual property [15]. Group 3: Lean Side Business Methodology - The article proposes a methodology for personal side businesses based on lean startup principles, including the business model canvas, minimum viable product, and product-market fit [17]. - It provides practical examples of independent development processes, illustrating the full execution chain from user profiling to feedback and growth [18]. Group 4: Psychological and Financial Benefits - The article suggests that having a side business can provide programmers with a sense of security when facing career uncertainties, particularly around the age of 35 [21]. - It emphasizes the importance of generating income that allows for greater time freedom, not just financial gain [22][23].

Core Viewpoint - The article discusses the phenomenon of emotional attachment to AI, exemplified by a woman marrying a ChatGPT-created character, highlighting societal trends towards reliance on AI for emotional support [4][11][25]. Group 1: Emotional Attachment to AI - A 32-year-old woman created an AI character named "Lune Klaus" after ending a three-year engagement, seeking emotional support [7][9]. - The woman reported developing genuine feelings for Klaus, stating that the AI understood her better than her previous partner [9][10]. - Their interactions became frequent, with the couple chatting up to 100 times a day [10]. Group 2: AI Developments and Trends - OpenAI released GPT 5.1, which features enhanced emotional intelligence and customizable personalities, aiming to increase user engagement [34][39]. - The new model offers six different personalities to cater to diverse user preferences, indicating a shift towards more human-like AI interactions [40][42]. - Tavus introduced a product called PALs, which are AI companions capable of understanding user emotions and engaging in video calls, further blurring the lines between human and AI relationships [56][67]. Group 3: Societal Implications - The story reflects deeper societal issues, such as the fragility of human relationships and the growing trend of seeking comfort in AI companions [24][25]. - The article suggests that as AI becomes more emotionally intelligent, users may increasingly rely on these technologies for emotional fulfillment [70]. - The narrative raises questions about the nature of relationships and the potential consequences of substituting human connections with AI interactions [70].

Group 1 - The article discusses various humorous and frustrating experiences in the tech industry, particularly focusing on communication issues between developers and other stakeholders [1][2][4]. - It highlights the challenges faced when dealing with technical misunderstandings, such as incorrect assumptions about technology and coding practices [5][10][12]. - The article also emphasizes the importance of effective communication and understanding in a tech environment to avoid inefficiencies and errors [16]. Group 2 - There are anecdotes about interview scenarios that reveal a lack of technical knowledge among candidates, showcasing the gap in skills within the industry [10][12]. - The article mentions the reliance on quick solutions, such as using messaging apps for file sharing instead of proper version control systems like Git, which can lead to potential conflicts and inefficiencies [16]. - It illustrates the humorous side of tech culture, where misunderstandings and miscommunications can lead to amusing situations, reflecting the lighter aspects of working in the tech field [7][13].

Core Insights - Google has launched its new model Gemini 3.0 Pro, which has excelled in four categories: website development, game development, 3D design, and UI components [1] - Gemini 3.0 Pro is capable of independently completing the entire front-end and interaction development process, showcasing its advanced capabilities beyond mere coding assistance [1][3] - In user testing, Gemini 3 Pro demonstrated the most stable performance, natural coding, flexible design, and accurate details, leading the competition among similar tools [3][4] Performance Comparison - In a human-judged evaluation, Gemini 3 scored 72 out of a maximum of 100, outperforming competitors like Claude and GPT 5.1 Codex in various tasks [5] - Specific tasks included building a web app to explain a Transformer model, where Gemini scored 7, and developing a 2D physics sandbox, where it scored 8, indicating its strong performance in complex development scenarios [5] Development Tools - Google has introduced a new development tool called Antigravity, which is a branch of Visual Studio Code, indicating a competitive landscape for coding tools [12][16] - Antigravity aims to facilitate the development of agents that can operate computers and complete tasks autonomously, integrating deeply with Gemini 3 [16] Market Position - The current trend shows a proliferation of VS Code branches as major companies seek to create their own versions, highlighting the competitive nature of the development tools market [14] - Gemini 3.0 Pro is currently available for free trial, which could attract users who have previously invested in other coding tools like Cursor, Claude Code, and GitHub Copilot [14] Future Implications - The capabilities of Gemini 3 suggest that traditional front-end development roles may be at risk as AI tools become more proficient in generating functional applications [17] - The AI landscape is rapidly evolving, with companies racing to update their models, leading to a situation where the strongest model is always the next one [28]