zlacker

I use LLMs to check solutions for graduate level math and physics problem I'm working on. Can I 100% trust their final output? Of course not, but I know enough about the domain to tell whether they discovered mistakes in my solutions or not. And they do a pretty good job and have found mistakes in my reasoning many times.

I also use them for various coding tasks and they, together with agent frameworks, regularly do refactoring or small feature implementations in 1-2 minutes that would've taken me 10-20 minutes. They've probably increased my developer productivity by 2-3x overall, and by a lot more when I'm working with technology stacks that I'm not so familiar with or haven't worked with for a while. And I've been an engineer for almost 30 years.

So yea, I think you're just using them wrong.

>>lovepa+(OP)
i could have written all of this myself. I use it exactly for the same purposes ( except i don't do undergrad physics, just maths) and with the same outcome.

It's also pretty useful for brainstorming : talking to AI helps you refine your thoughts. It probably won't give you any innovative idea, only a survey of mainstream ones, but it's a pretty good start for thinking about a problem.

>>lovepa+(OP)
I think this is the key. If you have a problem where it's slow to produce a plausible answer but quick to check if it's correct (writing a shell script, solving an equation, making up a verse for a song) then you have a good tool. It's the Prime-factorization category of problems. Recognizing when you have one and going to an LLM when you do, is key.

But what if you _don't_ have that kind of problem? Yes LLMs can be useful to solve the above. But for many problems you ask for a solution and what you get is a suggested solution which takes a long to verify. Meaning: unless you are somewhat sure it will solve the problem you don't want to do it. You need some estimate of confidence. LLMs are useless for this. As a developer I find my problems are very rarely in the first category and more often in the second.

Yes it's "using them wrong". It's doing what they struggle with. But it's also what I struggle with. It's hard to stop yourself when you have a difficult problem and you are weighing googling it for an hour or chatgpt-ing it for an hour. But I often regret going the ChatGPT route after several hours.