Group 1 - The article discusses humorous observations and comments related to various everyday situations, showcasing a light-hearted take on social interactions and experiences [1][4][6]. - There are mentions of public reactions to certain phrases or words, indicating a playful engagement with language and communication [4][12][18]. - The content includes references to food experiences, highlighting both positive and negative culinary encounters, which reflect consumer sentiments towards dining options [26][66]. Group 2 - The article features user-generated content, where individuals share their thoughts and experiences, creating a community-driven narrative [9][31][40]. - There is a recurring theme of humor in the comments, suggesting that the audience appreciates comedic elements in everyday life [5][13][60]. - The discussions also touch on cultural references and local customs, indicating a blend of humor with regional identity [57][69].

Core Insights - The article discusses the transformative impact of AI Agents on software development, highlighting how individuals with minimal coding experience can deliver functional projects in a short time frame, exemplified by Ben Tossell's achievements over four months [1][3][20] Group 1: AI Agent Collaboration - Ben Tossell utilized AI Agents to complete dozens of real projects, consuming approximately 30 billion tokens in the process [1][4] - His approach involved using a command-line interface (CLI) exclusively, which he found to provide higher capabilities and clearer visibility into the AI's processes [5][6] - The collaboration with AI allowed him to learn programming concepts and project structures without traditional coding education [10][19] Group 2: Project Development Process - Tossell's project development involved several steps: idea generation, context feeding, detailed questioning, allowing AI to execute tasks, and iterative testing [7][8] - He created various tools and projects, including a personal website, a feed aggregator, and a cryptocurrency trading bot, showcasing the versatility of AI in different applications [6][4] Group 3: Learning and Skill Development - Through his experience, Tossell gained proficiency in Bash command line and VPS usage, which enhanced his understanding of software development workflows [11][12] - He emphasized the importance of modular skill reuse, allowing him to create tools that could be utilized across multiple projects [13] - The learning process was characterized by a willingness to ask basic questions and view mistakes as opportunities for growth [16][17] Group 4: Future of Software Development - Tossell predicts a software explosion driven by AI, where many projects may be rough but will lead to a significant increase in quality offerings [20] - He encourages non-technical individuals to engage in project-based learning, emphasizing that the best way to learn coding is through hands-on experience and experimentation [21]

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Core Viewpoint - The article discusses a recent experiment at Hong Kong University of Science and Technology where an AI-powered glasses equipped with ChatGPT-5.2 took a final exam, achieving a score of 92.5, outperforming over 95% of human students, raising questions about the validity of traditional educational assessment methods [1][4][6]. Group 1: Experiment Overview - The AI glasses, developed by a team led by Professors Zhang Jun and Meng Zili, were designed to "cheat" in a controlled exam environment for the course "Computer Network Principles" [7][8]. - The AI glasses utilized a combination of hardware and software, including a camera for capturing exam questions and a cloud-based model for generating answers [13][12]. - The experiment aimed to evaluate the performance of AI in a traditional academic setting, highlighting the potential challenges to existing educational evaluation systems [5][6]. Group 2: Performance Metrics - The AI glasses scored 92.5, with perfect scores in multiple-choice and single-page short answer questions, and a high score in multi-page short answer questions [14]. - The performance demonstrated strong reasoning capabilities, even in complex questions that required contextual understanding [14][15]. - The experiment revealed that the AI could effectively complete the reading, understanding, and answering process, raising concerns about the relevance of traditional assessment methods [22][23]. Group 3: Implications for Educational Assessment - The success of the AI in the exam challenges the effectiveness of current educational assessments that focus primarily on standardized answers [22][33]. - The article suggests that traditional assessments may not adequately measure critical skills such as problem-solving, creativity, and understanding, which are essential in real-world scenarios [39][43]. - There is a growing need to shift the focus of educational evaluations from merely providing correct answers to assessing the reasoning processes and understanding behind those answers [40][48].

Core Viewpoint - The article discusses the emergence of Claude Code and its significant impact on programming, suggesting that the year 2026 may mark a technological singularity, as stated by Elon Musk [1][3][7]. Group 1: Impact of Claude Code - Claude Code has gained immense popularity, with notable figures like Elon Musk and the founder of Midjourney expressing astonishment at its capabilities [2][5][15]. - The coding efficiency of Claude Opus 4.5 has reportedly increased by 220% when used in conjunction with Claude Code, indicating a substantial leap in programming capabilities [25]. - The latest LiveBench rankings show Claude Opus 4.5 outperforming competitors like GPT-5.1 Codex MAX and Gemini 3 Pro, highlighting its dominance in coding tasks [28][30]. Group 2: Future of Software Engineering - The article posits that the role of software engineers is evolving, with AI now handling 70%-80% of coding tasks, leading to a shift towards code review rather than code writing [50][52]. - The use of natural language as a new programming syntax is emphasized, suggesting that anyone can become a software engineer by simply describing their needs to AI [63]. - The automation of software development is expected to extend to operations and management, indicating a broader transformation in the workplace [65][66].

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Core Insights - The article highlights the rapid decline in demand for traditional CRUD development roles due to the rise of AI technologies, indicating a shift in the job market where AI application development skills are becoming essential [1][2] - It emphasizes that 63% of companies are transitioning to AI products, making the role of large model application developers highly sought after, with significant salary increases of 40-60% reported for those with AI project capabilities [2][4] Summary by Sections AI Technology and Job Market - Traditional skills in business coding, API integration, and bug fixing are rapidly depreciating in value in the AI era [2] - Companies are increasingly looking for developers who are proficient in AI application development, particularly in three core technologies: fine-tuning, Agent, and RAG [2][4] Course Offering - A course titled "Large Model Application Development Practice" is being promoted, designed to help developers build complete application development paths from scratch [3][4] - The course includes two live sessions that combine solid theoretical knowledge with practical development skills and demonstrable projects [4] Course Content and Benefits - Participants will learn about fine-tuning large models, RAG application development, and AI Agent construction, with a focus on real-world applications in various industries [6][11] - The course promises to provide valuable resources such as a collection of large model application cases and a white paper on AI commercial implementation [6][20] Career Advancement - The course aims to help participants connect with product and business teams, build technical barriers, and avoid job insecurity associated with age [10][15] - It also offers opportunities for internal referrals and direct hiring, enhancing the chances of securing high-paying positions [15][20] Market Demand and Trends - The course has already served over 20,000 students, receiving positive feedback and helping many secure high-paying job offers [8][15] - The article stresses the urgency for developers to adapt to AI technologies to remain competitive in the job market, especially as the landscape evolves rapidly [17][18]

而这些高中生们的答案仿佛闪着光，在岁末的时节，让我们的心头无比温暖。 编辑：Aeneas 【导读】 如何用一个字，证明你不是AI？54份高中生给出的回答，感动了全网。而出乎意料的是，得票率最高的答案，居然是那个字。 这几天的b站，被这个视频刷屏了。 一位高中老师给同学们出了一道作文题—— 如果用一个字证明你不是AI，你会选择哪个字？ 这个视频一出，人气暴涨，现在已经成为全站排行榜最高第4名。这几天无论什么时候点进去，都上千人观看。 一个字，证明你不是AI 这54份答案中，有很多都不谋而合，甚至有1/5是完全一样的，然而这个重合的字却出乎意料。 而有的答案，本身就是一首诗。 这些字闪耀着生命的特性和人性的灵智，是AI永远模仿不来的。 比如， 妈 ——「可是机器人没有妈妈。」 因为有妈妈，所以我在这里，我被保护。父母，也是我们跟死亡之间的最后一道防线。 急 ——「机器人不懂，为什么人总是很急？医院三十分钟后才出检测报告，为什么每隔几分钟，就要去看出结果了没有呢？」 在医院这个等待命运宣判的地方，人们总是很沉重，而AI，永远不会明白这种沉重，也不会理解人类对AI的感受。 慢 ——「快捷高效是AI的代名词，可人们却渴 ...

以下文章来源于数据结构和算法 ，作者博哥 数据结构和算法 . 《算法秘籍》作者王一博，专注于互联网大厂热点事件和算法题讲解。 最近一网友在网上发文称：自己和室友在同一家公司面试，结果 室友过了，他没过 ，本来也无所 谓，结果室友在他面前炫耀， 说自己面试用ai工具作弊了，面试官没发现。他一怒之下跟hr举报 了，结果他室友的offer被取消了。并且还和他大吵一架，说他多管闲事。 作弊面试过了也不是什么光荣的事，我觉得没必要炫耀，即便是靠自己真本事面试通过，也要学会 低调。要做到不露圭角，韬光养晦。 1，redEdges[i] = [ai, bi] 表示图中存在一条从节点 ai 到节点 bi 的 红色 有向边。 2，blueEdges[j] = [uj, vj] 表示图中存在一条从节点 uj 到节点 vj 的 蓝色 有向边。 --------------下面是今天的算法题-------------- 来看下今天的算法题，这题是LeetCode的第 1129题：颜色交替的最短路径，难度是中等。 给定一个整数 n，即有向图中的节点数，其中节点标记为 0 到 n - 1。图中的每条边为红色或者蓝 色，并且可能存在自环或 ...

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