很多老板和我聊天时，我都有一个明显的感受： 大家都很焦虑。躺又躺不平，卷又卷不赢，感觉快要扛不下去了。 的确，生存的压力，工作中的挫折，对未来的迷茫，甚至恐惧，压得让人几乎透不过气来。 无数次遇到困难、痛苦、压力的时候，你可能都想放弃了。 但是，我想告诉你，你扛得住，就是本事，扛过去，你就赢了。 具体该如何理解呢？有以下3点： 01 担得起责 在职场上，负责是一个人可贵的品质。担得起责往往体现在以下两个方面： ①对你的态度负责。 有人曾问过股神巴菲特："您最看重的是一个人的什么品质？" 巴菲特回答说："态度，尤其是工作的态度。" 有些人并不缺乏工作的能力，但他们缺乏主动做事的态度，遇到一些大事、难事，他就退缩了，只会找 借口逃避。 实际上，绝大部分的能力问题，都是态度问题。 遇事时，如果你还没做，就是"不能"的态度，不愿尝试，不敢去做，那你就一定做不成这件事。 ②对你的行为负责。 无论事情你做成什么样子，你都要承担相应的后果，不要推卸责任。 有些人是很不负责的，取得成绩时照镜子，把功劳归于自己，洋洋得意；遇到困难时看窗口，找人甩 锅。 而真正扛得起责的人，当取得成绩时，他们会看向窗口，把工作成果归功于他人，不 ...

Core Insights - Andrew Ng emphasizes the transformative impact of AI-assisted programming on product development speed and efficiency, advocating for a culture of rapid prototyping and iterative testing [2][10][18] Group 1: AI-Assisted Programming - AI-assisted programming accelerates independent prototype development by tenfold, significantly reducing costs and enabling a viable strategy of rapid trial and error [2][10] - The evolution of programming tools has led to a depreciation in the value of traditional coding, necessitating a shift for developers towards roles as system designers and AI orchestrators [3][16] Group 2: Product Management Bottleneck - As engineering speeds increase, product decision-making and user feedback have become the new bottlenecks, requiring a shift in how data is utilized in decision-making processes [4][18] - Ng suggests that data should refine intuition rather than dictate decisions, advocating for a more nuanced approach to user feedback [19][20] Group 3: Skills and Education - Ng strongly opposes the notion that programming is unnecessary in the AI era, arguing that understanding programming is crucial for enhancing efficiency across various roles [5][21] - There is a significant shortage of AI engineers, with university curricula lagging in teaching essential skills such as AI-assisted programming and large language model utilization [6][25] Group 4: Future of Software Development - The rapid evolution of AI tools necessitates continuous learning and adaptation among developers to maintain competitive advantages [15][16] - Ng highlights the importance of foundational computer science knowledge, even as programming tools evolve, to ensure a deeper understanding of system design and architecture [43][44]