2012 年，微软公司高管 Brad Smith 发起一项旨在推动更多高中开设计算机课程的合办活动，并表示"相关岗位 的起薪通常超过 10 万美元"，再加上 1.5 万美元的招聘资金和价值 5 万美元的股票奖励。 编译 | 核子可乐、Tina 在长达一年的技术岗位工作和实习尝试之后，今年 5 月从普渡大学毕业的 Mishra 却始终没有收到任何录用通 知。 今年 21 岁的 Mishra 回忆起自己一直听到的那些"经验之谈"：只要学会编程、认真学习并拿下计算机科学学 位，起薪就能轻松达到六位数。这些诱人的许诺促使 Mishra 在小学时就开发出自己的第一个网站，在高中时学 习了高级计算机课程，并在大学期间主修计算机科学。但她怎么也没有想到，大学毕业后，可能要去烤肉店工 作。 Mishra 今年夏天在 TikTok 上发了一段"somebody pls hire me"的视频，提到"我是计算机科学专业的应届生，可 唯一一家打电话通知我面试的是 Chipotle 墨西哥烤肉店"。自发布以来，该视频观看次数已经超过 14.7 万次。 Mishra 最终未能得到在 Chipotle 制作墨西哥卷饼的工作，她后来申请了 ...

Core Viewpoint - The article emphasizes that while AI tools can assist in programming, they cannot replace the need for deep understanding and expertise in computer science to produce high-quality code [3][5][6]. Group 1: AI Programming Experience - The author shares experiences with various AI programming tools, highlighting that non-programmers are unlikely to successfully complete projects using AI alone [3]. - Despite generating over 60,000 lines of code with Cursor, the author only accepted around 5,000 lines due to frequent errors and misunderstandings by the AI [3]. - The complexity of AI-generated code often leads to confusion and the need for extensive corrections, indicating that AI struggles with even simple functions [3][5]. Group 2: Limitations of AI - The article argues that AI cannot produce "high-level" code due to the mediocre quality of the training data it relies on, which primarily consists of average programmers' work [5]. - The distinction between computer scientists and programmers is emphasized, with the assertion that AI may replace ordinary programmers but cannot substitute for computer scientists [5]. Group 3: AI as a Tool - AI is viewed as a valuable tool that can enhance productivity, but it is limited to amplifying existing skills rather than compensating for a lack of knowledge [6]. - The author acknowledges the benefits of using AI for problem-solving but stresses that without foundational skills, AI's effectiveness is nullified [6].

Core Viewpoint - Nvidia's CEO Jensen Huang stated that China's computer science capabilities are "world-class," particularly in software development [1] Group 1 - The emphasis on China's software capabilities highlights the country's growing influence in the global tech landscape [1] - Huang's remarks suggest potential collaboration opportunities between Nvidia and Chinese tech firms [1] - The acknowledgment of China's strengths may impact Nvidia's strategic decisions in the region [1]

Core Viewpoint - The job market for Generation Z is filled with contradictory signals, with entry-level positions disappearing while CEOs complain about talent shortages. The key to job security lies in acquiring the right skills [1][2]. Skills Gap and Workforce Needs - Companies are facing a skills gap in specific areas and urgently need young talent to fill these roles [2]. - Essential skills include networking, coding, programming, financial management, and project management [3][4]. Education and Training - Many schools are failing to provide adequate training in these critical areas, which hampers the development of the next generation of programmers and project managers [5]. - Education should focus on whether students can secure jobs after graduation, rather than solely on college graduation rates [6]. Importance of Computer Science Education - There is a strong belief in the necessity of students learning programming, especially in light of advancements in generative AI technologies [8]. - Over 250 CEOs, including leaders from Microsoft and Airbnb, signed a letter advocating for all students to receive education in computer science and artificial intelligence [8][9]. - A study from the University of Maryland found that students who take computer science courses in high school earn an average of 8% more in their first job [10]. Soft Skills and Character - Generation Z often struggles with workplace readiness, particularly in areas like professionalism, organizational skills, and communication [11]. - Companies prioritize character over technical expertise when hiring, emphasizing the importance of being smart, ethical, and having good character [13][14].

Core Viewpoint - The article emphasizes the significant impact of artificial intelligence (AI), particularly generative AI, on various industries and the increasing demand for AI-related content and research. Springer Nature is actively embracing these trends by publishing insightful research and developing AI tools and services to enhance academic and industrial collaboration [1]. Group 1: AI Resources and Services - Springer Nature is set to launch a new collection of AI books in 2025, covering topics from machine learning algorithms to neural network research impacting healthcare. This collection aims to provide a comprehensive resource for researchers, educators, and professionals [2]. - The AI book collection includes diverse resources such as monographs, conference proceedings, textbooks, and manuals, catering to different levels of readers and facilitating a deeper understanding of the rapidly evolving AI field [2]. Group 2: Core Research Areas - The AI book collection focuses on core research areas, including machine learning, deep learning, natural language processing, computer vision, and AI ethics, among others [3]. Group 3: AI-Driven Services - Springer Nature offers AI-driven services, including text and data mining (TDM) tools that help researchers extract valuable information from large datasets, enhancing their ability to discover patterns that traditional analysis may miss [46]. - The Methods Muse platform simplifies experimental design and optimization for life sciences research, integrating with protocols.io to streamline the research process [50]. - Nature Research Intelligence provides data-driven insights to help academic, governmental, and corporate researchers make informed decisions, track research trends, and enhance their academic impact [53][55].