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当ChatGPT为你的项目生成模板代码和现成的代码片段时，很容易陷入“我在构建这个”或“我现在更高效”的陷阱。但从更大的角度来看，“ChatGPT知道”的本质与“谷歌知道”、“维基百科知道”或“Stack Overflow知道”并没有什么不同。归根结底，我们只是用一种“参考怪兽”替换了另一种，这种新的“怪兽”在某种程度上显得更具互动性和亲密感，擅长搜索和过滤，并通过一个界面提供所有信息。但最终，你仍然必须以传统和艰苦的方式学习技术概念。人工智能仍然无法替代这一点，即使通用人工智能（AGI）真的出现了，也不会改变这一点。在某种程度上，大型语言模型（LLM）比谷歌或维基百科更具欺骗性，因为它给你一种虚假的感觉，让你觉得自己已经取得了一些成就或掌握了一些知识，而实际上你并没有（从严格的技术角度来看）。

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When chatgpt churns out boilerplate code and ready snippets for your projects, it's easy to fall in that trap of "I am building this" or "I am more productive now" but in the greater scheme of things, "ChatGPT knows" is still no different than "Google knows" or "Wikipedia knows" or "Stack Overflow knows".At the end of the day, we have just replaced one kind of "reference monster" with another that feels somewhat interactive and intimate, is good at searching and filtering, and gives all information through one interface.But eventually, you must still learn the technical concepts the hard and old school way. AI is still no substitute for that and it won't be even if AGI ever arrives.In some ways, LLM is more deceptive than Google/Wikipedia because it gives you the false sense of feeling that you've achieved something or know something when you actually haven't (in the strict technical sense).

不受欢迎的观点：ChatGPT无法替代学习核心编程概念。