"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)."
ChatGPT produces boilerplate code and ready snippets that can create the feeling of building or increased productivity, but its outputs are functionally similar to answers from Google, Wikipedia, or Stack Overflow. The tool replaces one type of reference resource with an interactive, intimate interface that excels at searching and filtering and consolidates information through a single channel. The convenience does not remove the need to learn technical concepts through deliberate, rigorous practice. AI cannot substitute deep technical understanding, and that limitation would persist even if AGI arrives. Large language models can foster false confidence in actual expertise.
Read at SitePoint Forums | Web Development & Design Community
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