[cortesoft]

I feel like a lot of the success of an AI project currently still comes down to the skills of the operator. I don't think it is possible to say "AI can't create this because I told AI to create it and it failed" any more than you can say "You can't write this in Rust because I tried and failed."

There is still a TON of skill involved in guiding an AI to create something, and how good it turns out has a lot to do with how the AI development process went.

[conception]

What I’ve discovered is for things I’m good at when AI takes a first shot at it I think “this is pretty mediocre “ and can guide it to something pretty good. If I’m less skilled on what it’s working on I tend to think “Hey this is pretty good!” But then I remember the former and then realize I don’t really have the skill to judge and that the work done is probably just… ok at best.

I generally apply this thinking when I hear people talking about using AI and their results and what I know about their skill levels.

[joshka]

This is often people invoking chesterton's fence, where the quickest way to have something corrected on the internet is just to say something wrong.