Don’t these fart-huffing jackasses understand that I actually need to read my e-mails to plan physical meetings with other flesh-based entities?
It’s difficult for me to fathom how someone could risk their work getting fucked up by non-deterministic software.
To me, it’s not worth the risk or the hassle to set up and babysit a piece of software that might get shit wrong when I can just do it correctly in the first place.
I’m the other fence. My daily reporting has 12-15 documents output, that I then previously had to spend 3-5 hours moving this item over to this form, and that item over to that form, and management wants everything to be kept locked PDF so no excel macros can be used… upload everything to claude, let it run. Sure… sure, itll make errors here and there… but no one actually checks what these documents pop out… only that they’re there. And that alone, has cut my workload by half. So, thanks AI for giving me my time back, and thanks boomer bosses, for not knowing how to do basic computer tasks badly enough they will never figure it out!
Using AI to complete bullshit work tasks that shouldn’t exist in the first place. Yep, I know that feeling very well.
Had loads in my last job. I could spend a few hours and struggle to fill in a few sentences for this bullshit form HR keep sending us, or I could ask ChatGPT to write the most obviously generic corpospeak crap that for some reason people like and are even impressed when I say that I used AI for it. Am I the only one that feels like it shows that the task is pointless?
What we want is software that behaves predictably. Since LLMs don’t do that, we don’t want them or their “agents.”
For fuck’s sake.
To be clear, “normal” people are using LLMs like crazy. This I believe is specifically talking about is installed local agents. Boomers and non tech industry suits are using LLMs left and right and won’t shut up about them.
They are not using agents. Most people use LLMs as Google on steroids.
Google on LSD (the hallucinate results)
So you’re decided not to use a useful tool, because you don’t like it. Gotcha.
I once thought the fediverse was full of cool, techsavy people. Turned out it’s full of old people yelling at clouds.
Sir this is lemmy. Most people here just follow whatever the echo chamber tells them to. Thinking or referencing reality is typically not advised.
I’ve had Gemini downright lie or completely fuck up before and it’s not a rare occurrence. That means you have to verify everything anyway and hell at that point maybe you should have just looked it up yourself.
First of: When? Few months make a huge difference. Development happens fast.
Second: Gemini is not the top of the line. You could do worse - if you use the fucking LLMs from meta.
I know Gemini isn’t the top. It’s all I’m willing to tolerate.
That doesn’t make any sense.:
„This sub-par product of an evil mega corporation that uses their market power to shove this product down everyone’s throat is all I’m willing to tolerate.“
As bad as Antrophic and openAI are, their product is better and they don’t embed it into phones and search engines. (Not saying they wouldnt‘t if they have the chance, but they haven’t)
It makes sense. I’m not spending a dime… I’m not signing up and giving my credentials out to any other AI … I already have Google . Gemini is good enough for the things I look up monus occasionally being dead wrong which all of them can do. I don’t make stupid memes or videos.
Yeah okay. I understand the monetary angle.
However I also have never spent a dime on AI, and I don’t use Gemini. I run Qwen3.6 on my graphics card, or use opencodes free tier. Deepseek-v4- flash is pretty good.
I’ve read a comment recently that Googles local Gemma models hallucinate less than Gemini, but I don’t know if that’s true, since I hardly use Gemma and Gemini not at all.
I recommend downloading some local models and a harness like pi or opencode if you want to play around an have the hardware for it.
Because you don’t need AI when you’ve got NI.
I like Northern Ireland, despite its problems, but I’ve never considered it an alternative to AI. Interesting insight there.
Its pretty good at giving correct answers but god its slow and expensive. You gotta print and post like 2 million letters asking your question, wait for the concensus to be achived, wait for the comittee to conbein and compile the answer, then wait for the answer to come back.
They could at least streamline it a bit, maybe call instead of mailing the answer, and save a bit on the post by just having a dedicated radio signal that blasts the question to the entire population instead of having to send everyone a letter.
I have agents force fed to me at work. I’ve already got my own honed workflows I’ve refined over the years; now, Outlook and Teams and Various agentic frameworks are spamming me with summaries of stuff I either already know or don’t need to know… except they still get it wrong constantly, so I can’t trust what they think I should prioritize (usually it’s work I’ve already assigned to others).
Claude Code agents are decent, but they need to create discrete work objects that can be properly reviewed, so act like junior coders.
The main issue I have with most agents today is that they try to replace MY work, making it more complicated and time consuming, instead of completing the work I can’t bother to do myself. And in order to do those things effectively, I have to loosen my privacy and security models to the point where they effectively don’t exist. Which I’d never do for another human, so why should I do it for an agent that’s more likely to catastrophically screw things up at record speed?
Good job putting to words one of the core issues I’ve had with using LLM chat for work. Stop trying to design an entire fucking system or solution and just answer the damn question I actually asked, by using natural language to search documentation and existing implementations.
I would tell it to only answer exactly what I asked, but sometimes I do get value from it “exploring” on occasion. It’s just so much damn worse with it than my newest junior co-worker who is known on our team for getting hours deep into tangential rabbit holes before coming up for air and asking seemingly nonsequiteur questions.
Back when search engines were becoming a thing, people would search more or less using natural language, e.g., “I want to see cat pictures and also cute kittens.” but early search engines performed poorly with that kind of query; it was much better to just type keywords, e.g. “cat kitten pictures”. Exacerbating the situation was the fact that search engines weren’t very good at the time, even if you used carefully considered keywords.
It might seem silly now, but using a search engine effectively was a skill people had to learn, and a skill not everyone had.
Using chatbots is the same thing, I think. They’re not super reliable to begin with, and on top of that, I don’t think people understand the importance of a well crafted prompt. The combination can make using them very frustrating.
I read somewhere that teaching people about how LLMs work is way better at protecting them from the harms of LLMs than trying to convince them not to use them.
This would include prompt engineering i guess! Which to be fair i do not know about.
The video makes fun of it by having the vibe coder put "… or you go to jail " at the end of every prompt. https://www.youtube.com/watch?v=JeNS1ZNHQs8
Fundamentally, they cost way, way too much to run. LLMs are useful tools (I use them a bit for data analysis and coding help) and the people who use them for that kind of thing might pay the full cost in some form (not as individuals but their companies might). But they’re trying to push them into everything and people who can’t think for themselves and want them to help them write emails and such are not going to foot the bill. Not even close.
I think they’ve realised that forcing universal adoption is the only way that this could work, to get everyone hooked on it then jack up the prices. But regular consumers will never, ever be the ones paying the enormous costs of LLMs. Even companies will start to realise that there is no point paying huge amounts just for everyone to be able to outsource writing emails and basic tasks to LLMs. And short of any huge breakthrough, they are incapable of doing most jobs.
It’s not difficult to understand. This whole AI bubble is just a push to get enough people, a critical mass, over a threshold that they start paying for the usage. The Bubble was waiting for the money to run out which is what built the bubble. The money is running out and the subscriptions are ready for purchase.
The software development industry is ready to purchase subscriptions, but no other sectors it seems.
Maybe but even there there are limits on how much they will be willing to spend for junior level programming no matter how much of a ship fast fix broken methodology they adopt.
What junior programmers?
