I’ve seen a lot of sentiment around Lemmy that AI is “useless”. I think this tends to stem from the fact that AI has not delivered on, well, anything the capitalists that push it have promised it would. That is to say, it has failed to meaningfully replace workers with a less expensive solution - AI that actually attempts to replace people’s jobs are incredibly expensive (and environmentally irresponsible) and they simply lie and say it’s not. It’s subsidized by that sweet sweet VC capital so they can keep the lie up. And I say attempt because AI is truly horrible at actually replacing people. It’s going to make mistakes and while everybody’s been trying real hard to make it less wrong, it’s just never gonna be “smart” enough to not have a human reviewing its’ behavior. Then you’ve got AI being shoehorned into every little thing that really, REALLY doesn’t need it. I’d say that AI is useless.
But AIs have been very useful to me. For one thing, they’re much better at googling than I am. They save me time by summarizing articles to just give me the broad strokes, and I can decide whether I want to go into the details from there. They’re also good idea generators - I’ve used them in creative writing just to explore things like “how might this story go?” or “what are interesting ways to describe this?”. I never really use what comes out of them verbatim - whether image or text - but it’s a good way to explore and seeing things expressed in ways you never would’ve thought of (and also the juxtaposition of seeing it next to very obvious expressions) tends to push your mind into new directions.
Lastly, I don’t know if it’s just because there’s an abundance of Japanese language learning content online, but GPT 4o has been incredibly useful in learning Japanese. I can ask it things like “how would a native speaker express X?” And it would give me some good answers that even my Japanese teacher agreed with. It can also give some incredibly accurate breakdowns of grammar. I’ve tried with less popular languages like Filipino and it just isn’t the same, but as far as Japanese goes it’s like having a tutor on standby 24/7. In fact, that’s exactly how I’ve been using it - I have it grade my own translations and give feedback on what could’ve been said more naturally.
All this to say, AI when used as a tool, rather than a dystopic stand-in for a human, can be a very useful one. So, what are some use cases you guys have where AI actually is pretty useful?
I switched to Linux a few weeks ago and i’m running a local LLM (which was stupidly easy to do compared to windows) which i ask for tips with regex, bash scripts, common tools to get my system running as i prefer, and translations/definitions. i don’t copy/paste code, but let it explain stuff step by step, consult the man pages for the recommended tools, and then write my own stuff.
i will extend this to coding in the future; i do have a bit of coding experience, but it’s mainly Pascal, which is horrendly outdated. At least i already have enough basic knowledge to know when the internal logic of what the LLM is spitting out is wrong.
OP seems to be talking about generative AI rather than AI broadly. Personally I have three main uses for it:
- It has effectively replaced google for me.
- Image generation enables me to create pictures I’ve always wanted to but never had the patience to practise.
- I find myself talking with it more than I talk with my friends. They don’t seem interested in anything I’m but chatGPT atleast pretends to be
Your third point reminded me of a kid recently who committed suicide and his only friend was an AI bot.
(commenting from alt account as lemm.ee is down again)
Don’t worry, I’m relatively satisfied with my life and have no desire in ending it. I’m just in the lonely chapter of my life where I’ve outgrown my old friend group but haven’t yet found the new ones. I don’t consider AI my friend. It’s just something to bounce my esoteric thoughts off.
Guitar amp and pedal modeling.
i use it to autoblog about my love for the capitalist hellscape that is our green earth on linkedin dot com
if you know programming then you can have it do basic stuff (or even mid complexity stuff if you do it step by step). Just the other day I directed it to produce a code in js using 3js which does scatter plots. The code did run into a couple issues which it was able to solve itself when pointed by me. There was only one problem it could not solve despite several attempts (having a grid does not move with camera controls) so I had to figure that out myself. It was pretty impressive. Overall an expert in 3js would do that maybe in 10 minutes, it took me a couple hours. If I had to do it via searching online it would probably take me a couple of days since I know nought about js.
I also had it write bash scripts a couple of times. It is generally pretty good with writing basic stuff and piecing them together especially if you know programming so you can check it and write intelligible prompts about problems in the code.
Software developer here, who works for a tiny company of 2 employees and 2 owners.
We use CoPilot in Visual Studio Professional and it’s saved us countless hours due to it learning from your code base. When you make a enterprise software there are a lot of standards and practices that have been honed over time; that means we write the same things over and over and over again, this is a massive time sink and this is where LLMs come in and can do the boring stuff for us so we can actually solve the novel problems that we are paid for. If I write a comment of what I’m about to do it will complete it.
For boiler plate stuff it’s mostly 100% correct, for other things it can be anywhere from 0-100% and even if not complete correct it takes less time to make a slight change than doing it all ourselves.
One of the owners is the smartest person I’ve ever met and also the lead engineer, if he can find it useful then it has its use cases.
We even have a tool based on AI that he built that watches our project. If I create a new model or add a field to a model, it will scaffold a lot of stuff, for instance the Schemas (Mutations and Queries), the Typescript layer that integrates with GraphQL, and basic views. This alone saves us about 45 minutes per model. Sure this could likely be achieved without an LLM, but it’s a useful tool and we have embraced it.
Regex
I’ve learned more C/C++ programming from the GitHub Copilot plugin than I ever did in my entire 42 year life. I’m not a professional, though, just a hobbyist. I used to struggle through PHP and other languages back in the day but after a year of Copilot I’m now leveraging templates and the C++ STL with ease and feelin’ like a wizard.
Hell maybe I’ll even try Rust.
Any LLM I tried sucks using Rust. The book is great, you learn all of the essentials of Rust and it is also pretty easy to read.
Be cautious about the results when using them for googling and summarizing. I had them tell misinformation to me more than once. You’ll “learn” things that are counter-factual.
Translating is a very good use case. I also use them for that an it works very well. Better than any Google Translate. And I use it for roleplay, like a D&D campaign, just not with your friends, but alone and the AI narrates the story. And one-off things where I need some ideas to spark my creativity.
What I’ve tried apart from that are programming, re-phrasing my emails, … But I’ve never got any good results for that. Everytime I did that, I ended up not liking the result, deleting it and starting over and doing it myself.
I’ve installed immich on my DIY NAS, it has ml face/object recognition and it works nice
has ml face/object recognition and it works nice
Do expound on this if you would, sounds really neat
Cooking. So much SEO filler is avoided. You can’t rely on it though, it’s tried to sub sugar for brown sugar. You still need to understand basic flavor concepts.
It’s perfect for topics you have professional knowledge of but don’t have perfect recall for. It can bring forward the context you need to be refreshed on but you can fact check it because you are an expert in that field.
If you need boilerplate code for a project but don’t remember a specific library or built in function that tackles your problem, you can use AI to generate an example you can then fix to make it run the way you wanted.
Same thing with finding config examples for a program that isn’t well documented but you are familiar with.
Sorry all my examples are tech nerd stuff because I’m just another tech nerd on lemmy
On the inverse I’ve found it to be quite bad at that. I can generally count on the AI answer to be wrong, fundamentally.
Might depend on your industry. It’s garbage at g code.
It probably depends how many good examples it has to pull together from stack overflow etc. it’s usually fine writing python, JavaScript, or powershell but I’d say if you have any level of specific needs it will just hallucinate a fake module or library that is a couple words from your prompt put into a function name but it’s usually good enough for me to get started to either write my own code or gives me enough context that I can google what the actual module is and find some real documentation. Useful to subject matter experts if there is enough training data would be my new qualifier.
AI is really good as a starting point for literally any document, report, or email that you have to write. Put in as detailed of a prompt as you can, describing content, style, and length and cut out 2/3 or more of your work. You’ll need to edit it - somewhat heavily, probably - but it gives you the structure and baseline.
Yeah, I’m really bad at structuring my writing and coming up with ways to phrase some things, especially when starting with a blank page. Having an existing base to work off of and edit helps me immensely.
This is my one of 2 use cases for AI. I only recently found out after a life of being told I’m terrible at writing, that I’m actually really good at technical writing. Things like guides, manuals, etc that are quite literal and don’t have any soul or personality. This means I’m awful at writing things directed at people like emails and such. So AI gives me a platform where I can enter in exactly what I want to say and tell it to rewrite it in a specific tone or level of professionalism and it works pretty great. I usually have to edit what it gave me so it flows better or remove inaccurate language, but my emails sound so much better now! It’s also helped me put more personality into my resume and portfolio. So who knows, maybe it’ll help me get a better job?
Troublehsooting technology.
I’ve been using Linux as my daily driver for a year and a half and my learning is going a lot quicker thanks to AI. It’s so much easier to ask a question and get an answer instead of searching through stack overflow for 30 minutes.
That isn’t to say that the LLM never gives terrible advice. In fact, two weeks ago, I was digging through my logs for a potential intruder (false alarm) and the LLM gave me instructions that ended up deleting journal logs completely.
The good far outweighs the bad for sure tho.
The Linux community specifically has an anti-AI tilt that is embarrassing at times. LLMs are amazing, and much like random strangers on the internet, you don’t blindly trust/follow everything they say, and you’ll be just find.
The best way I think of AI is that it’s going through a bubble not unlike the early days of the internet. There was a lot of overvalued companies and scams, but it still ushered in a new era.
Another analogy that comes to mind is how people didn’t trust wikipedia 20 years ago because anyone could edit it, and now it is one of the most trusted sources for information out there. AI will never be as ‘dumb’ as it is today, which is ironic because a lot of the perspective I see on AI was formed around free models from 2023.
I really hate AI as it is now only because of all the weird marketing people are doing for it; pretending they don’t know how it works like “omg it’s not supposed to do that idk why it’s doing that”. Anyone can see it’s potential though once they can see through all the SEO bullshit. Like you said, it’s in it’s infancy now and will take a long time to truly mature and it will be amazing when/if it does.
Genuinely, nothing so far.
I’ve tinkered with it but I basically don’t trust it. For example I don’t trust it to summarise documents or articles accurately, every time I don’t trust it to perform a full and comprehensive search and I don’t trust it not to provide me false or inaccurate information.
LLMs have potential to be useful tools, but what’s been released is half baked and rushed to market as part of the current bubble.
Why would I use tools that inherently “hallucinate” - I. E. are error strewn? I don’t want to fact check the output of an LLM.
This is in many ways the same as not relying on Wikipedia for information. It’s a good quick summary but you have to take everything with a pinch of salt and go to primary sources. I’ve seen Wikipedia be wildly inaccurate about topics I know in depth, and I’ve seen AI do the same.
So pass until the quality goes up. I don’t see that happening in the near future as the focus seems to be monetisation, not fixing the broken products. Sure, I’ll tinker occasionally and see how it’s getting on but this stuff is basically not fit for purpose yet.
As the saying goes, all that glitters is not gold. AI is superficially impressive but once you scratch the surface and have to actually rely on it then it’s just not fit for purpose beyond a curio for me.
