A lot of people here seem to be living in a different universe than me or simply don't know how to work with AI. I think detractors believe you should just let AI do the job blindly instead of leveraging it as a tool to accelerate you. They get mad at Excel for the poor investment returns. At this point, this is such a strawman, it isn't worth counter arguing.
I think I'll abandon this discussion and keep using AI quietly while exchanging tips with like-minded people who are interested in using it properly and efficiently.
Did you think for a second that maybe other people work with other languages, domains, tools and work approaches than you?
It's so bizarre that noone realizes that there's a bit of a difference between banging together JavaScript into websites, writing firmware for widgets, herding servers or fixing medical devices?
> A lot of people here seem to be living in a different universe than me
I feel this way on this topic too.
> I think detractors believe you should just let AI do the job blindly instead of leveraging it as a tool to accelerate you.
The problem is; how _should_ I use AI? On a previous thread, I had two replies to the same comment, one saying "provide the LLM all the context it needs and let it go ham", and the other saying "Carefully guide and craft it and review everything". Both subthreads had people agreeing.
My experience with LLMs is leaving them unattended gives very poor results within a handful of iterations, and that carefully guiding them can be a value add, but the effort ot do that is very often as much as just writing the damn code myself, particularly if there's a few iterations that go on.