I’d rather put hours in figuring out what works and what doesn’t to get more value out of my future use.
I’d rather put hours in figuring out what works and what doesn’t to get more value out of my future use.
Embrace that you aren't learning anything useful. Everything you are learning will be redundant in a year's time. Advice on how to make AI effective from 1 year ago is gibberish today. Today you've got special keyword like ultrathink or advice on when to compact context that will be gibberish in a year.
Use it, enjoy experimenting and seeing the potential! But no FOMO! There's a point when you need to realize it's not good enough yet, use the few useful bits, put the rest down, and get on with real work again.
Why would I have FOMO? I am literally not missing out.
> All you are doing is learning to deal with the very flaws that have to be fixed for it to be worth anything.
No it is already worth something.
> Embrace that you aren't learning anything useful
No, I am learning useful things.
> There's a point when you need to realize it's not good enough yet
No, it’s good enough already.
Interesting perspective I guess.
If it takes you hours to figure out what's working and what's not, then it isn't good enough. It should just work or it should be obvious when it won't work.
It’s just that you don’t like AI lol.
When LLMs ever reach that point I'll certainly hear about it and gladly use them. In the meantime I let the enthusiasts sort out the problems and glitches first.
> And my expectation on tools is that they help me
LLMs do this for me. You just don’t seem to get the same benefit that I do.
> and not make things more complicated than they already are.
LLMs do not do this for me. Things are already complicated. Just because they’re still complicated with LLMs does not mean LLMs are bad.
> When LLMs ever reach that point I'll certainly hear about it and gladly use them
You are hearing about it now. You’re just not listening because you don’t like LLMs.