Then it becomes a self-fulfilling prophecy: a) "ChatGPT is stupid! Also, plagiarism! No value!" b) " I wrote a carelessly bad prompt and it responded with a seemingly bad answer!" c) " This confirms my biases!"
I find that when I provide it with enough context and a set of requirements (as I would with a non-AI engineer), it's very good at problem solving.
I’m not sure understanding is an inherent issue either. When I Google ”weather lisbon,” Google spits out a number. The app doesn’t ”understand” anything, but it still helps me plan my day.
I'm old enough to remember the memes campaigning to rename "software engineering" to "googling StackOverflow"
Conjecture. We lack a mechanistic understanding of "understanding", so you can't make this claim. Human answers are also fallible, so how do you know that human cognition isn't also statistical pattern matching similar to what's used in LLMs?
There can be value in SO answers, there can not be in LLM as it's just automated plagiarism without understanding anything.