Group 1 - The core viewpoint of the articles emphasizes the importance of adapting education to meet the evolving demands of the AI industry, highlighting a disconnect between academic curricula and job market needs [2][3] - AI evangelist Andrew Ng argues that the fear of AI automating coding jobs is misplaced, suggesting that as programming becomes easier, more people will engage in it, leading to an increase in demand for software engineers [2] - There is a new stereotype that recent graduates can outperform experienced engineers due to their familiarity with AI technologies, but the most skilled engineers are those with deep architectural understanding and a commitment to continuous learning [3] Group 2 - Companies are struggling to find enough GenAI application developers who can effectively utilize AI coding assistants and create high-value applications, indicating a gap in the current workforce [3] - The rapid pace of technological change is outstripping the ability of educational institutions to update their curricula, resulting in a skills mismatch in the job market [3] - The future will require more software development, and the challenge lies in enhancing the skills of both developers and non-developers to effectively use AI tools and significantly boost productivity [3]
AI大神吴恩达：很多计算机专业应届生找不到工作，是因为高校课程严重
Xin Lang Cai Jing·2025-12-27 23:23