I appreciate your apology as it sort of came across that way.
I'll give you a real-life anecdotal example to expand a little on my point. My buddy is a front-end developer for a company which produce pretty basic "stuff" (sorry, I don't know anything about front-end) according to him. He says that he's gotten lazy and unmotivated to do anything about it. This leaves him unchallenged and he doesn't really like his job. Once GPT arrived, he's been able to (according to himself) reduce 70 % of the boring boiler-plate code type work he has been doing for years, by making GPT write it for him, and him just verifying it works. This has ultimately allowed him not only to focus on taking on more interesting projects where he can challenge himself, but also spending a lot of the time he previously spent writing "bullshit boiler-plate code" in learning new and more challenging front-end things.
I can easily imagine people in other jobs, in IT or perhaps in other fields already using GPT to reduce the boring parts of their jobs. I can genuinly not recall having heard anyone say a new IDE or any other tool since the arrival of the computer itself reduce their "boring work" load this signifcantly. So I think at this point it is reasonable to assume that access to GPT will become considered as commonplace as having access to a computer or email (given you work in a field where those are considered basic/primary tools of course), and that employers will have to adapt. If not, people will disregard rules / go "shadow IT" or even consider quitting.
Perhaps the fact that I work exclusively on the front-end is why I also derive tremendous value from GPT-4, and I have been perplexed by others saying they find no value in GPT-4 for coding. There is so much boilerplate BS that GPT-4 just nails down and lets me move on to bigger things.
Just yesterday, I needed to mock up a quick prototype for a new feature we're developing. I just paste in my existing React component (and it's all front-end code with no sensitive/proprietary information), tell GPT-4 what I want it to do, and it does it.
Is it perfect? No. Does it sometimes get things wrong? Yes. But it's still easier and faster to help guide GPT-4 and tweak its final output than to have done it all myself.
I'll give you a real-life anecdotal example to expand a little on my point. My buddy is a front-end developer for a company which produce pretty basic "stuff" (sorry, I don't know anything about front-end) according to him. He says that he's gotten lazy and unmotivated to do anything about it. This leaves him unchallenged and he doesn't really like his job. Once GPT arrived, he's been able to (according to himself) reduce 70 % of the boring boiler-plate code type work he has been doing for years, by making GPT write it for him, and him just verifying it works. This has ultimately allowed him not only to focus on taking on more interesting projects where he can challenge himself, but also spending a lot of the time he previously spent writing "bullshit boiler-plate code" in learning new and more challenging front-end things.
I can easily imagine people in other jobs, in IT or perhaps in other fields already using GPT to reduce the boring parts of their jobs. I can genuinly not recall having heard anyone say a new IDE or any other tool since the arrival of the computer itself reduce their "boring work" load this signifcantly. So I think at this point it is reasonable to assume that access to GPT will become considered as commonplace as having access to a computer or email (given you work in a field where those are considered basic/primary tools of course), and that employers will have to adapt. If not, people will disregard rules / go "shadow IT" or even consider quitting.