A Harvard Business Review study is answering the question ‘what will employees do if AI saves them time at work?’ The answer: more work.
I’ve literally never used it for work at all, c suits is starting to push it more but there’s no much use. Definitely not working harder
I honestly used AI for something other than summarizing a meeting yesterday. It failed so miserably that I’m really not apt to use it again. Maybe I was wrong to assume it could summarize a simple graph into a table for me.
A co-worker not long ago had AI (fucking copilot in this case) randomly trying to analyze a spreadsheet report with a list of users.
There wasn’t any specific need to do this right now, but, curious, he let it do its thing. The AI correctly identified it was a list of user accounts, and said it might be able to count them. Which would be ridiculously easy to do, since it’s just a correctly formatted spreadsheet with each row being one user.
So he says OK, count them for me. The AI apologizes, it can’t process the file because it’s too big to be passed fully as a parameter in a python script (OK, why and how are you doing that?) but says it might be able to process the list if it’s copy-pasted into a text file.
My co-worker is like, at that point, why fucking not? and does the thing. The AI still fails anyway and apologizes again.
We’re paying for that shit. Not specifically for copilot, but it was part of the package. Laughing at how it fails at simple tasks it set up for itself is slightly entertaining I guess, thanks Microsoft.
Oh yeah, same here except with a self-hosted LLM. I had a log file with thousands of warnings and errors coming from several components. Major refactor of a codebase in the cleanup phase. I wanted to have those sorted by severity, component, and exception (if present). Nothing fancy.
So, hoping I could get a quick solution, I passed it to the LLM. It returned an error. Turns out that a 14 megabyte text file exceeds the context size. That server with several datacenter GPUs sure looks like a great investment now.
So I just threw together a script that applied a few regexes. That worked, no surprise.
i don’t know how sensitive that info is but I’d be scared to use AI for something like a list of users.
i used it for the first time a few weeks ago, cant trust the results as they dont verify the actual sources where they get numbers/cost from. it was about an ACA plan.
I can’t access the paper but a lot of people are drawing wild conclusions from it and misrepresenting what’s there.
In short, what I could find was, they asked 40 employees from a tech startup about their AI use.
They did no comparison study or experiment.
If I had to guess the tech startup probably works in AI as well. Not exactly an unbiased study.
Ah classic “here’s a tool to make your job easier. But don’t think it will make you work less, it will just give us more money” (if ai even makes it easier)
I don’t know if this is true but I once read that people expected the cotton gin to improve slaves’ conditions because that part of the process was incredibly labor-intensive, so it would be saving them work. Instead it made cotton farming more profitable and boosted slave ownership. ☹️
And at lower quality with more errors of higher severity. Yay.
Sadly its true. In my previous company, the CEO asked a web developer to start a project in another framework and when she said she needs at least 1-2 weeks studying the new framework, the CEO responded, “just use ChatGPT and try to do the project in 10 days”.
This would make me want to take at least 2-3 weeks.
They don’t give a fuck about quality only turn around times. The markets reward scams currently
I heard a similar story from a friend of mine, that the c-levels at his office only wanted to achieve faster development rather than proper development. And he was worried because the system built by the devs team had become bigger and complex, and he didn’t know how to track down bugs in the source code.
Burn it all down. Lock the CEOs in before you do.
Work or “work”? I ask because my company also heavily encourages AI use, so I slap together a prompt and walk away from the machine while it defecates. A lot of it is garbage, but I don’t spend much time doing manual refinement because they clearly can’t distinguish quality if they’re demanding slop. I adjust the output only enough to pass the requirements.
That’s exactly what I would say if I owned an LLM or LLM adjacent company
Sounds like what Amazon probably tells their employees to do.
They’re using AI inefficiently, then. I use it to get a lot done in very short bursts through the day, and spend longer bursts fucking off in between.
EDIT: imagine being so brainrotted that you think it’s bad to use AI to reclaim more of your day from your wage slavers.
I know you’ve got the most downvoted comment here, but I actually agree with you completely.
Using AI to replace genuine creative work is depressing.
In my experience, the latest AI tools (and agents) are more than capable of cutting corporate corners and generating the kind of bullshit busywork that defines so many “bullshit jobs.”
It feels like the perfect use case for AI given the system so many of us are stuck in. Be smart and use AI to get some of your time back at the expense of your employers.
Lemmy is full of militantly anti-AI folks who would rather die on a hill penniless, than use a flawed technology against oppressing influences, in their own favor. Despite the impending bubble pop, the tech isn’t going anywhere, may as well learn how to leverage and exploit it in the workplace.
“but not me, I’m built different” 😅
