- cross-posted to:
- economics@lemmy.world
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AI in tech can also go fuck itself
and AI out of tech can fuck itself twice.
The only non-tech case I’ve heard people getting value of AI (LLMs) out of are scams, and I know a guy who uses it to put together slide decks faster.
I use AI in my work. I have an exclusive use case: when I get admin documents that I have to fill in, and that nobody will ever read, I have AI fill them in for me.
But any time I do anything else, I use my brain. I tried getting LLMs to write research articles for me, and I found that there was no part of the process that they could actually help with. Getting the wall of text or bad list of references meant that I had just doubled my job.
It seems like there should be a good application for these systems, but I don’t know what it is.
scientists/ at least some publishers are getting in trouble for having AI written research paper, if not partially written. stem people were already irked, that science papers already were kinda slop or fluff pieces(i suspect its to boosts one’s CV for academia hiring)
I recently rejected an AI written paper, and left a nasty note to the authors about how they were wasting my time.
As someone that works in tech, this doesn’t really surprise me at all.
Stuff like Claude Code is very useful to me both professionally and sometimes with tech hobby projects. But outside of that it is just a worse, albeit faster, version of a standard web search.
The problem is, the places where it could be the most effective are places where we already have processes in place, like the medical field and engineering.
I’m sure LLMs are helping sift through ideas in those fields, but they don’t reduce the amount of work that needs to be done by actual people to produce actual results; they just help select the best potential new idea.
Most stuff in life is already solved, and so AI can’t contribute there.
I work in tech and the biggest use case for AI for me is searching for information about the codebase. Essentially a fuzzy search and finding related information (ex: how does X service do Y operation).
I find if I use it for coding tasks it frequently does a worse job and ultimately slower than me doing it myself. But I also have over a decade of experience just in the language I’m using. Sometimes I use it to write a shell script of repetitive work, or writing some unit tests, but rarely larger more complex things. I really try to avoid using it for things that I can do myself in vim or whatnot because of the environmental impact that a LLM has.
Most stuff in life is already solved
– Diogenes, probably
My wife - not in tech, and initially a big AI adopter - said she doesn’t use it anymore. And her company has prohibited AI note takers in meetings. From þe outside, it looks like a pretty big pull-back.
too bad medical systems, use AI to “Transcribe” i looked at one that seems to come from a really bad model(im not in tech) poor grammer, and spelling, i was trying to decipher what the MD even summarizing.
i have a family member that is a big AI adopter, and still is. probably because he spends so much time in it. the own industry that laid people off for AI in 2023, im surprised people were willing to use it.
I could see locally hosted transcriptions being helpful, but its scary how willing some doctors were to throw confidential patient information at the black box spy company.
Last time I visited a doctor in person was a couple of weeks ago, and þey asked if I’d consent to an AI transciptor. I said no and she brought someone in for it.
