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南京大学:组建新工科“至诚班”
Ke Ji Ri Bao· 2025-06-18 00:42
Group 1 - Nanjing University aims to provide the best undergraduate education in China, launching initiatives to cultivate top innovative talents [1] - The university has established a new Robotics and Automation College at its Suzhou campus, introducing a major in Automation (Robotics Direction) focused on smart manufacturing and robotics technology [1] - The "Zhicheng Class" is introduced to strengthen practical training and industry-education integration, featuring a talent cultivation system driven by industry needs and deep involvement from central enterprises [1] Group 2 - In 2025, Nanjing University will add "Intelligent Science" and "Electronic Science" directions to its Mathematics and Physics programs, respectively [2] - The Kuang Yaming College will continue to reform its outstanding talent cultivation model, allowing students to freely choose their academic paths and mentors, with over 80% of graduates pursuing further studies at prestigious institutions [2] - New dual-degree programs in Software Engineering combined with Business Management and Economics will be introduced to foster interdisciplinary talents [3] Group 3 - The university will continue to offer various dual-degree programs, including Computer Finance, German Law, Intelligent System Integration, and Big Data Communication, to provide students with ample choices and development opportunities [3]
Redis 之父亲证:人类程序员仍力压 LLM!网友锐评:那是你没见过平庸码农被 AI 吊打的样子
程序员的那些事· 2025-05-30 07:10
Core Viewpoint - The article emphasizes that human programmers possess superior capabilities compared to large language models (LLMs), despite the usefulness of AI tools in assisting with programming tasks [3][10]. Group 1: Human vs. AI Capabilities - The article discusses a scenario where a complex bug in Redis was addressed, highlighting the limitations of LLMs in generating innovative solutions compared to human creativity [5][10]. - It is noted that while LLMs can assist in problem-solving, they often lack the ability to think outside conventional frameworks, which is a significant advantage of human programmers [10]. Group 2: Practical Applications of LLMs - The author shares experiences of using LLMs for code review and idea validation, indicating that these tools can enhance productivity but cannot fully replace the nuanced understanding required in software engineering [3][10]. - The article mentions that LLMs can serve as a sounding board for ideas, providing feedback that can help refine thought processes [13]. Group 3: Software Engineering Complexity - The article points out that software engineering encompasses much more than just coding, including understanding client needs and requirements, which LLMs are currently ill-equipped to handle [14]. - It emphasizes the social attributes of software engineering, where human interaction and comprehension of client demands play a crucial role [14].