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0 pointsbaq6mo ago0 comments

> they make so much misdirected code with LLMs

just points to the fact that they've no idea what they're doing and would produce different, pointless code by hand, though much slower. this is the paradigm shift - you need a much bigger sieve to filter out the many more orders of magnitude of crap that inexperienced operators of LLMs create.

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matwood6mo ago

It'll be interesting if tools like Claude will end up being used to highlight the people who have no clue what they are doing.

johnisgood6mo ago

I think you can do this already. If you do not know the underlying concepts, or have no idea about how you have to architecture your project and so forth, then you will have problems with LLMs. So I think many if not most people who have problems with LLMs, it is most likely due to their lack of knowledge and/or their expectation that you can just simply write two sentences and it will figure out what you want and how you want it.

You cannot outsource thinking to LLMs, at least not yet, if ever. You have to be part of the whole process. You need to have knowledge. If you have no idea what it is doing or what you want it to do, you are going to have a difficult time.

skydhash6mo ago

The thing is, is it slower to code with LLMs if you already have the knowledge? I think it is so. Coding is formal. There’s usually one correct way to tell the computer to do something (all the alternatives are equivalent through abstraction or transposition). The other ways are what we called bugs and there’s an infinty of them.

The programming language eliminates some (incorrect syntax) while the type system get rid of others (contract error). We also have linter that helps us with harmful patterns. But the range of errors is still enormous. So what’s the probability of having the LLMs be error free or as close as possible to the intended result?

We as humans have reduced the probability of error by having libraries of correct code (or outsourcing the correction of code), thus having a firmer and cognitively manageable foundation to create new code. As well as not having to rely on language to solve problems.

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