[WheelsAtLarge]

Computer Science education has always seem like a luxury to me. You go to college and get a very high view of the computer field but never enough to be able to get a job without additional training. That has changed CS graduates will have enough know how to be useful out of college. Their role now is to figure out how to turn spects into a usable system using AI.

My question now is: given that that there are only a limited number of types of system, why not have templates for the know how for most of these system? LLM can just fill in the blanks and have a working system in no time for most of the use cases.

The only thing I can think of that will happen is that we will have new creative systems for use cases we have never even thought about. I doubt AI will take over. Human creativity has no bounds so we will see an explosion of new ideas that only humans can solve not a capitulation to AI.

[epolanski]

I'm tired of this naive view that college is for training people for jobs.

College is for growing individuals that can handle the complexities required in a field. That is the real value.

You don't do CS or SE because you have to get out of college with knowledge of the latest hype, but you get out of college armed with the tools that make you able to learn and handle any of the that latest hype for decades to come.

This field especially moves way too fast for anything to be actual by the time you graduate. That's why you focus on the fundamentals and problem solving and in some exams here and there you get some touch of different fields (data, machine learning, etc).