
Obviously as capabilities improve some tasks move from the second bucket to the first, and exactly when that happens depends a lot on one's own distribution of skills, etc.
Positive users see value in using AI tools only when they improve output quality because the tools advance rapidly and handle routine tasks well, while negative users worry reliance on them could hinder building personal competence.

Obviously as capabilities improve some tasks move from the second bucket to the first, and exactly when that happens depends a lot on one's own distribution of skills, etc.

@littmath Also - even if you do acquire the skills, there are some activities too humdrum to bother over. Front-ends, fonts, colour schemes, LATeX formatting. I appreciate good output but can’t be bothered. Perfect use of AI.

@littmath I find that when I use it for a task I consider myself mediocre at (also coding), at first I think it’s accelerating my progress. But then I spend more time debugging what it did and learning nothing from the process. There’s a bigger lesson in here that im too frustrated to see.

@littmath This may prevent you from becoming competent though

@littmath Harms my outputs today is the wrong metric, these tools improve extremly fast, and the skill of using them compounds.

@Colm12Colm Skill development is indeed a task where AI may not improve outputs!

@ObjRandom Right, I was trying to gesture at this with "on balance." I agree there's some cost-benefit calculation here.

@littmath Greetings!
Checked your product earlier and honestly it feels like something Reddit users would naturally talk about because the underlying problem already gets discussed there often. But right now there’s almost no visibility around your brand itself yet.