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0 pointsarmchairhacker3mo ago0 comments

- There’s a difference. Users don’t see code, only its output. Writing is “the output”.

- A rough equivalent here would be Windows shipping an update that bricks your PC or one of its basic features, which draws plenty of outrage. In both cases, the vendor shipped a critical flaw to production: factual correctness is crucial in journalism, and a quote is one of the worst things to get factually incorrect because it’s so unambiguous (inexcusable) and misrepresents who’s quoted (personal).

I’m 100% ok with journalists using AI as long as their articles are good, which at minimum requires factual correctness and not vacuous. Likewise, I’m 100% ok with developers using AI as long as their programs are good, which at minimum requires decent UX and no major bugs.

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zmmmmm3mo ago

> - There’s a difference. Users don’t see code, only its output. Writing is “the output”.

So how is the "output" checked then? Part of the assumption of the necessity of code review in the first place is that we can't actually empirically test everything we need to. If the software will programmatically delete the entire database next Wednesday, there is no way to test for that in advance. You would have to see it in the code.

fennecbutt3mo ago

Tbf I'm fine with it only one way around; if a journalist has tonnes of notes and data on a subject and wants help to condense those down into an article, assistance with prioritising which bits of information to present to the reader then totally fine.

If a journalist has little information and uses an llm to make "something from nothing" that's when I take issue because like, what's the point?

Same thing as when I see managers dumping giant "Let's go team!!! 11" messages splattered with AI emoji diarrhea like sprinkles on brown frosting. I ain't reading that shit; could've been a one liner.

armchairhackerOP3mo ago

Another good use of an LLM is to find primary sources.

Even an (unreliable) LLM overview can be useful, as long as you check all facts with real sources, because it can give the framing necessary to understand the subject. For example, asking an LLM to explain some terminology that a source is using.

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