this post was submitted on 13 Sep 2025
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I know its a bit of a hot topic but I've always seen people (online anyways) are either a hard yes or absolutely no on using AI. There are many types of "AI" that have already been part of technology before this hype, I'm talking about LLMs specifically (ChatGPT, Claude, Gemini, etc...). When this bubble burst its absolutely not going anywhere. I'm wondering if there is case where you've personally used it and found it beneficial (not something you've read or seen somewhere). The ethics of essentially stealing vast amount of data for training without compensation or enshitification of products with "AI" is a whole other topic but there is absolutely no way that the use of the technology itself is not beneficial somehow. Like everything else divisive the truth is definitely somewhere in the middle. I've been using lumo from proton for the last three weeks and its not bad. I've personally found it useful in helping me troubleshoot issues, search or just use it to help with applying for jobs:

  • its very good at looking past SEO slop plaguing the internet and it just gets me the information I need. I've tried alternative search engine (mojeek, startpage, searXNG, DDG, Qwant, etc...) Most of them unfortunately aren't very good or are just another way to use google or bing.
  • I was having some wifi problem on a pc i was setting up and i couldn't figure out why. i told it exactly what was happening with my computer along with exact specs. It gave gave me some possible reasons and some steps to try and analyze my computer it was very very useful.
  • I've been applying for so many jobs and it so exhausting to read hundreds of description see one tiny thing in the middle that disqualifies me so I pass it my resume with links and tell it to compare what i say on my resume and what the job is looking for to see if im a fit. When i find a good job i ask rewriting tips to better focus on what will stand out to a recruiter (or an application filtering system to be real).

I guess what I'm trying to say is it cant all be bad.

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[–] keepcarrot@hexbear.net 6 points 6 days ago

I used it to violate industrial copyrights. For whatever reason, all Australian standards for technical drawings are behind paywalls

[–] arsCynic@lemmy.ml 6 points 6 days ago

I needed the following CSS copied 51 times with a 0.05 s increment, because CSS can't for-loop and didn't want JavaScript:

#butterfly span:nth-child(1) {
  animation-delay: 0s;
}

I know I could've just for-looped it somewhere else and copy-paste the output, but I was curious if DeepSeek could do it.

[–] Gt5@lemmy.zip 5 points 6 days ago

We have a got at work that’s trained on all our internal docs and handbooks. It’s useful because you can ask it operational stuff like, “how do I request time off?” or “when are performance reviews?”

It’s good for stuff where you might not know who to ask or where to find the answer on internal stuff

[–] olbaidiablo@lemmy.ca 1 points 4 days ago

I use notebooklm to act as my research assistant when it comes to labour law and union contract. Claude has helped significantly with compiling the chapters for my upcoming book. Deepseek has created several courses for me to further refine my skills and education.

[–] darthelmet@lemmy.world 3 points 6 days ago

I took AI courses in college and it was fun to learn about then when it was a bunch of toy examples that showed the potential of these systems, but it was clear enough to anyone in those classes or doing that research how not ready they were for real applications because of all the known flaws with how model training worked. And then some ceos just ignored all that and started blowing up the bubble.

So my answer is the research models that could play video games kinda good. Everything after that was getting ahead of ourselves.

[–] umbrella@lemmy.ml 1 points 5 days ago* (last edited 4 days ago)

1 - usually they come up with bullshit for me, not dissimilar to the seo slop.

2 - same as 1, its easier to google and at least know where the info is coming from.

3 - i will just machine gun apply to everything. they are the ones making it hard on us/themselves. i'll let them filter their candidates.

[–] mugita_sokiovt@discuss.online 5 points 6 days ago (2 children)

I personally use generative AI for thumbnail art (Stable Diffusion models locally downloaded, with LoRA for the 1.5 models I use), and so does my producer. We disclose when we use the models, and our prompting is actually really good (just inpainting is something we don't do).

[–] yogthos@lemmy.ml 5 points 6 days ago (1 children)

this might be of interest, it's a model that generates svgs that work really great for stuff like icons https://github.com/OmniSVG/OmniSVG

[–] mugita_sokiovt@discuss.online 2 points 6 days ago (1 children)

That is certainly interesting, but I'll have to look at it later, for I have no idea how that could be usable for my machine.

[–] yogthos@lemmy.ml 1 points 6 days ago (1 children)

the 3B version should need fairly modest hardware

[–] mugita_sokiovt@discuss.online 1 points 6 days ago (1 children)

If modest is 17GB of GDDR6 required, that isn't modest-sounding to me.

[–] yogthos@lemmy.ml 1 points 5 days ago (1 children)

That's not a lot by LLM standards. :)

[–] mugita_sokiovt@discuss.online 2 points 5 days ago

I might've been thinking about something else, thinking it was something to do with SD.

[–] Hackworth@sh.itjust.works 1 points 6 days ago (1 children)

I've been stuck in the Adobe ecosystem for 25 years, and until there's an After Effects equivalent on Linux, I don't really see getting out. But silver lining, generative fill and harmonize in Photoshop make inpainting breezy. And generative extend in Premiere is great for persnickety edits. I've generally found visual AI more useful than the LLMs.

[–] mugita_sokiovt@discuss.online 2 points 6 days ago

I think Natron is pretty decent from what I heard. I don't think it's in production, but some people tend to use it as an alternative.

[–] thesohoriots@lemmy.world 5 points 6 days ago

Giving me a paragraph where Tom Cruise grows increasingly frustrated during his juggalo-themed commercial for shrimp fried rice.

[–] m532@lemmygrad.ml 2 points 5 days ago

I've tried learning digital drawing before, but my programmer brain finds prompt engineering to be much more intuitive, so i've been doing that a lot lately.

Also its surprisingly good at upscaling in "image-to-image, 0.1 strength" mode. I thought I would need a dedicated upscaling mode for that. The result looks noticeably better than with normal bicubic upscaling.

[–] yogthos@lemmy.ml 4 points 6 days ago* (last edited 6 days ago)

I've found lots of great uses. I find LLMs are great for grammar and spellchecking, acting as a sounding board, doing translations, writing shell scripts, digging through unfamiliar code bases, figuring out configurations for tools, finding relevant stuff in large documents, and they can be helpful for coding in languages I'm not well versed in.

[–] Tippon@lemmy.dbzer0.com 4 points 6 days ago

I've tried ChatGPT a few times to see if it's useful for me, and it's worked surprisingly well in most cases.

I made a website that needed two modal images, one on the top and one on the bottom. I wanted them to be enlarged when they were clicked on. I found a load of guides for getting one to work, but I couldn't get both to work. A few minutes with a prompt got it working. It didn't help me to learn JavaScript, but did give me working code that I needed quickly.

I've used it to fluff up some text. I'm not very good at making things sound good in text, so it helped a lot.

The latest one I've tried is getting camera settings for a dark gig setup. I was able to give it an old photo that was under exposed but gave an accurate impression of the room, and ask for recommended settings with the same lens, a new lens, and a flash. It gave me a selection of settings with and without the flash, including settings for rear curtain sync, so when it leaves a ghost trail behind the subject. It's nothing I couldn't figure out, but would have taken a bit more trial and error in the room. I probably wouldn't have thought of the ghost trails.

[–] QuarterSwede@lemmy.world 4 points 6 days ago* (last edited 6 days ago)

• I use it for research and then verify its findings.
• It’s excellent at summarizing quickly.
• It’s great at idea creation for specific needs and outlining it.
• While it’s good at writing I enjoy that and do it myself to keep my specific tone.

[–] EtnaAtsume@lemmy.world 3 points 6 days ago

It has been great at estimating calories in things. When possible, I compared to the actual food label, and it's usually within a reasonable margin of error. But not everything is labeled, and when you're on a diet it's better to have at least something to go off of.

[–] i_am_not_a_robot@feddit.uk 3 points 6 days ago (1 children)

I've been using it recently for generating alt text for images (my bots on Mastodon and Aunty Madge on !yoursinclair@retrolemmy.com specifically). It's pretty good at that, although does sometimes give weirdly wrong details - especially the TED Music Bot, if it gets the usual +4 startup screen it says it's +4 on key F1, instead of 3-plus-1, and tells me the wrong colours for the text and background (I think it may be getting it confused with the C64, bit the colours are right there on the image!). It's infinitely preferable to having no alt text, which would be the alternative.

The other thing it's really good at is summarising articles.

I've also used it when I've had an error in my code I can't track down, or a bracket missing that I can't figure out. It quite often gives nonsense but I've had some success. Usually a normal web search is perfectly adequate though!

[–] buzz86us@lemmy.world 1 points 6 days ago

I like to use it for stories.

[–] monovergent@lemmy.ml 2 points 6 days ago

A couple so far. I have a local copy of Stable Diffusion. It's handy for upscaling some kinds of images. I'll also use it to flesh out my worldbuilding project with landscapes and scenes.

Less often, I'll consult ChatGPT, without logging in. For the times when a search engine doesn't cut it but a forum post would be too much. I'm usually skeptical of AI summaries, but I find it justified for boiling down poorly-written stuff that I have to read, but isn't worth my time in long form.

That stupid song about the Windows registry. Don’t look it up, or at least don’t come crying to me after listening to it 50 times. It has no right being as catchy as it is. I fear for younger people and how God generated music will sound in a year or two.

I used to ask why classical music wasn’t performed by Metal bands. Now I can have AI make it for me and it shouldn’t even be that hard given the songs are already written. Now if I were to say “compose a new symphony in the style of Beethoven and make it sound like Iron Maiden are playing it… that would be different.

[–] HubertManne@piefed.social 2 points 6 days ago

I actually just view it as the latest abstraction of search. Yahoo in the 90's did not give you a blurb summary of links or would do math equations for you or give answers to simple questions like what time is it or whats the capital of alaska.

[–] Underwaterbob@sh.itjust.works 1 points 6 days ago

As a teacher, it's good at making assignments for students. Though I don't use it out of principal.

[–] Nyanix@lemmy.ca 1 points 6 days ago

Best use for me has been feeding it logs and pcaps, incorporating it into Wireshark sounds far more useful to me than summarizing a two-line email.

[–] Tenderizer78@lemmy.ml 0 points 6 days ago

I find it's good as a "search engine of last resort". I would pay $2 monthly at most for one, and less if it's American.

[–] felsiq@piefed.zip -1 points 6 days ago

I only really use LLMs for project ideas, naming things, or recipes, but it’s great for those. For recipes especially, trusting the gaslight machine adds an extra layer of suspense and fun to cooking or baking.

It’s also fun, but not useful, to ask Linux questions - chatgpt specifically told me to restart dbus while in an active GUI session when I asked it about a simple case of unintended behaviour. It’s probably the dumbest Linux advice I’ve heard to date, so I got a lot of enjoyment out of trying it to see how bad it would fuck things up

[–] fjordo@feddit.uk 0 points 6 days ago

Despite claims to the contrary ChatGPT is very accurate with its responses when such responses involve web searches. Where it falls apart is complex multi step things like coding questions.

I make heavy use of it to skip past all the clutter of Google search results and end up with clear summaries that answer my questions. That's all I'd really use it for as anything more than that its output is highly variable in quality.

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