- cross-posted to:
- fuck_ai@lemmy.world
- cross-posted to:
- fuck_ai@lemmy.world
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“…Employees worked at a faster pace, took on a broader scope of tasks, and extended work into more hours of the day, often without being asked to do so,” the researchers wrote.
How is “faster” measured? What is faster?
Pace doesn’t say much about completion, total, quality, or repeated or thrown away work.
“but at least they’re causing more fossil fuels to be burnt and that’s why we all exist in the first place” /s
It could also mean that 9 till 5 people don’t like change and people who are willing to go the extra mile are willing to explore AI.
Hahaha
Cleaning up the mess for a lesser final product.
thats because 90 mins is spent re-reviewing the AI-generated tasks/codes.
My colleague: I created an AI skill for the review.
Meanwhile I’m having a great time doing the actual fun part — the programming.
“Working”
Probably because they fired 10% of rhe workforce based on promised AI usage returns on investment.
And all that time goes to babysitting a text machine… What a life they’re living
this is what my company owners don’t seem to understand.
productive employees don’t enjoy that. if that becomes our job, will either do it poorly or leave, and then you’ll just have shitty people doing it, with shitty results.
they’ve backed off a little bit, but they’re still trying to push AI tools to do parts of our job that we are still 100% responsible for the outcome of. fuck that.
actually now that I’m thinking about it, fuck, it fucking pisses me off. like I told them that an application with major value (which also would be one of the easiest things to implement) is just a chatbot that reads the customer spec and you can ask questions, so instead of sorting through hundreds of pages across multiple different files and file types, the chatbot can find anything relevant and then you can look closer at it. do we have that tool? no. are they trying to push other tools on us that are half complete, can’t possibly do a good job, and only have marginal time savings? yes. like yeah sure let’s fucking let AI do an engineering drawing of a part, I’m sure it’ll make it a very nice easy to read drawing that the machine shop will love, and all the senior people who are already reviewing everybody else’s work will love to review constant junior level quality work. that’s probably their favorite part of the job, reviewing shit quality work. and they love it even more when they know that the feedback they give won’t result in somebody getting better at it, they’ll just see it again tomorrow.
The goal is to get to the point where, quite literally, every single job is replaced. The drawings being generated suck now but without organized labor it’s going to be hard to argue when they stop sucking.
Just look at what happened to SWEs
honestly, the more we hire more people, the more I get it
we used to only hire quality people. we were picky. small company, so everybody there needed to be a contributor. now we just hire to have bodies in chairs and they’re noticeably less capable, and half of them sound like AI themselves.
fuck, I worked with one guy that would actually say “yes, you’re right, I was wrong about xyz, it should actually be abc” when you prodded three levels deep to find out how a dumb fuck up happened
my point is, some of these people absolutely could be replaced by AI and it would have less if an impact than my original estimations
SWE saw the same arc and now were at Andy Yen saying that a humans job isn’t to use LLMs to write good code. It’s to help LLMs so they can write good code.
That’s what’s coming down the pipeline for, quite literally, every single knowledge worker unless something is done.
they’ll just see it again tomorrow
This is sort of the implied contract of teaching somebody something or reviewing for them. They have to get better over time. If they do not, then I have zero interest spending my time on them. Irrelevant of whether they are a human or an AI.
You can make that tool in minutes with any agent, just have it tag based off your criteria and run it through a vision model
I know, that’s what pisses me off - they could have had a great return in investment in something simple like that, but nope, that hasn’t happened
and fuck if I’m gonna do it, I have other shit to do. I’ve got other tools specific to my team’s workflow that I don’t have time to make.
Specific workflow tailored tools seem like the future for the time being. Be the one who makes them rather than having one pushed on you. Even if that means you just make one for yourself.
I used to be that person. that time came and went. shame for the company, since there’s only one other person in the department that can do that kind of thing. oh well, that was the company’s choice.
yes, I’ll make stuff for myself, but only if I really want to, otherwise I’m happy to let things take longer because I wasn’t given time to make a tool for the team. not worth the stress, I’d rather go outside.
Programming a project I know well feels Godlike; sitting in the cuck chair watching the computer do it feels doglike
“It’s a fuckin tamagotchi.!”
deleted by creator
pre colour film announcer voice
The worker of the [year] 2000 will work just 20 hours per week
Oops, we forgot to account for employers existing.
LMAO….
And some troll was arguing with me a month or so ago about how technology supposedly reduces workloads.
I kept explaining to them how any increases in efficiency only lead their employers to give them more work to do. The laborers are still milked for the value of their labor, in some cases for even longer hours. The only difference is the employer benefits from the increased production.
They seriously tried arguing that the industrial revolution was somehow good for textile workers. Like no, traditional craftspeople got run out of business because they couldn’t keep up with the sweatshops that employed children in dangerous conditions for absurdly long hours for very little pay with no days off, and all just to create a soulless product that could be sold in larger quantities.
AI is no different, except that it doesn’t even increase profits for the employers.
Harris Tweed must, by law, be made by home weavers on non-electric looms, in the weavers’ own homes on the Outer Hebrides Islands:
Harris Tweed® is a tweed which must, by law, be produced from yarn which is made from 100% pure new wool which has been dyed and spun in the Outer Hebrides of Scotland and woven by hand at homes of local islanders. It is the only fabric in the world to have its own Act of Parliament.
They saw the value of keeping the traditions alive, and even wrote it into law.
I’m in one of those rare jobs that AI helps immensely. That said, JESUS FUCKING CHRIST make it stop. I’m working WAY more than I used to and it’s all fucking nailbiting levels of risk.
Just let the job market come back enough I can slide into something not so AI friendly
Could you tell which field that job is in?
What I’ve seen so far is a lot of people basically getting good starts with something AI but mostly still having to correct too much so that either the prompt takes more work than the actual task or the work thereafter is more.
And I have seen some situations where llm also really made sense and was helping in general, but that was far and in between.
Anthropic enterprise models are very strong at following runbooks and managing infrastructure. To frame this properly, I spent about a month documenting the environment and creating runbooks. I can currently do things like the following:
Follow the steps below to roll over this cluster. {
Choose a server in this cluster by ID in numeric order (this server)
Use Ansible+vault to create a backup AMI of (this server)
Use Ansible+vault to collect health data on (this server) according to the server health runbook
Use Ansible+vault to disable notification for this server
Use Ansible+vault to preform a full kernel update and reboot the vm according to the update runbook.
Use Ansible+vault to collect health data on this server according to the server health runbook post update
Compare the pre and post health and server alarms for (this server), if there is an issue, pause, SOS notify oncall
Use Ansible+vault to enable notification for this server
}
Each runbook contains exact steps required, how to verify success, each one of them is able to pull the E-stop, freeze on that step and SOS notify.
LLM help at my job too but only if the employee has the knowledge to correct the issues.
Today I needed to send an email with a few details, the most important being the customers email needed to be included in the body of the email.
I tell copilot that. What does it provide… Everything except the customers email. I was able to prompt it again to include that information but 90% of my team would’ve just sent the original copilot response instead of rereading it.
LLM help at my job too but only if the employee has the knowledge to correct the issues.
My problem colleague is the major beneficiary of our AI. I’m sure it makes them even worse, quality and quantity.
Worst part is we employed them as a supposedly already experienced dev. He’s way worse than all juniors I onboarded, guided, and who improved.
Sounds about right. Since we started having to incorporate AI, my work load has increased but my production has stagnated, because I am having a hell of a time getting out of my own way now that I have to wade thru mountains of AI regurgitation. YAY progress!
