AI：加速能力退化的元凶

Core Viewpoint - The article argues that over-reliance on Large Language Models (LLMs) is leading to a decline in critical thinking among engineers, emphasizing the need to preserve the essence of programming as a craft [1][3][17]. Group 1: Risks of Over-Reliance on LLMs - Engineers who treat LLMs as partners often prioritize speed over depth of thought, which can lead to a decline in their skills and critical thinking [5][6]. - The use of LLMs can result in a loss of the flow state and creative enjoyment for many developers [7]. - LLMs may produce incorrect code or code with hidden logical flaws, increasing risks if users lack judgment [12]. Group 2: Importance of Program Theory and Entropy - LLMs cannot grasp program theory and program entropy, which are essential for effective programming and understanding the complexities of software development [9][13]. - Program theory emphasizes that programming is about forming insights and theories rather than just writing code, which is crucial for maintaining and modifying software [10][11]. - Program entropy highlights that any modification to a program increases complexity, and only humans can effectively manage this entropy [14][15]. Group 3: Long-Term Value of Human Engineers - The article suggests that LLMs will not replace human engineers, as the unique human ability to think critically and deeply about engineering problems remains irreplaceable [8][18]. - Companies pursuing AI for cost reduction may face new risks and long-term costs, indicating that the value of human engineering skills will persist [18][19].