Earlier quoted context omitted.
I recently interviewed a candidate with a degree in computer science. He was unable to explain to me how he would have implemented the Fibonacci sequence without chatGPT. We never got to the question of recursive or iterative methods. The most worrying thing is that the LLM were not very useful three years ago when he started university. So the situation is not going to improve.
But it is. Some knowledge and questions are simply increasingly outdated. If the (correct) answer on how to implement Fibonacci is one LLM query away, then why bother knowing? Why should a modern day web developer be able to write assembly code, when that is simply abstracted away? I think it will be a hot minute before nothing has to be known and all human knowledge is irrelevant, but, specially in CS, there is goin…
LLM are very poor in areas such as real time and industrial automation, as there is very little data available for training.
Even if the LLM were good, we will always need someone to carry out tests, formal validation, etc.
Nobody want to get on a plane or in a car whose critical firmware has been written by an LLM and proofread by someone incapable of writing code (don't give ideas to Boeing ).
The question about Fibonacci is just a way of gently bringing up other topic.