this post was submitted on 07 Apr 2024
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[–] TheKrunkedJuan@lemmy.world 17 points 7 months ago (28 children)

As someone scripting a lot for my department in the tech industry, yea AI and scripts have a lot of potential to reduce labor. However, given how chaotic this industry is, there will still need to be humans to take into account the variables that scripts and AI haven't been trained on (or are otherwise hard to predict). I know the managers don't wanna spend their time on these issues, as there's plenty more for them to deal with. When there's true AGI, that may be a different scenario, but time will tell.

Currently, we need to have some people in each department overseeing the automations of their area. This stuff mostly kills the super redundant data entry tasks that make me feel cross eyed by the end of my shift. I don't wanna be the embodiment of vlookup between pdfs and type the same number 4+ times.

[–] misspacific@lemmy.blahaj.zone 17 points 7 months ago (26 children)

exactly, this will eliminate some jobs, but anyone who's asked an LLM to fix code longer than 400 lines knows it often hurts more than it helps.

which is why it is best used as a tool to debug code, or write boilerplate functions.

[–] Ragnarok314159@sopuli.xyz 10 points 7 months ago (2 children)

Do you think AI for programmers will be like CAD was for drafters? It didn’t eliminate the position, but allows fewer people to do more work.

[–] misspacific@lemmy.blahaj.zone 10 points 7 months ago

this is pretty much what i think, yeah.

a lot of programming/software design is already kinda that anyway. it's a bunch of people who were educated on computer science principles, data structures, mathematicians, and data analytics/stats who write code to specs to solve very specific tool problems for very specific subsets of workers, and who maintain/update legacy code written decades ago.

now, yeah, a lot things are coded from scratch, but even then, you're referencing libraries of code written by someone awhile ago to solve this problem or serve this purpose or do thing, output thing. that's where LLMs shine, imo.

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