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.
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.
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.
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.
It’s got lots of uses:
- driving up fossil fuel revenues
- providing a solid excuse for laying off a bunch of employees
- disciplining labor
- offloading blame for unpopular decisions
- increasing surveillance and nonconsensual data collection
I used it to violate industrial copyrights. For whatever reason, all Australian standards for technical drawings are behind paywalls
You know those business books that combine flimsy pop psychology and self help literature with personal development and business goals? Yeah, those books with 300 pages and only one good idea per 100 pages if you’re lucky. Rest of it is just fabricated stories, ideas copied from other books and regurgitation of ideas from the previous chapters to fluff up the page count. Yes that category!
Well guess what? GPT can generate precisely that level of quality without any effort. In fact, it seems to gravitate towards that style unless you specifically work hard to steer it to aim higher. It has never been easier to become a business book author! Zero editing required. Just prompt and publish.
It feels like this is the one area where GPT excels.
Solo roleplay. You can make a character and interact. Generate fake conversations etc.
With generative images you can create custom backgrounds, portraits and landscapes instead of having to lookup for them or doing it yourself.
You can also do some interactive story telling that it’s kind of fun.
Generating quick test questions over a certain topic. It’s another use case I’ve seen it being quite good at.
Wow, what a cool idea, I never even considered this. Any other suggestions to this idea to add some fun?
If you want it to go unhinged try to get an uncensored llm. Dans PersonalityEngine by bartowski is my current favorite.
There’s only a few use cases where I’ve found I prefer it to doing things the hard way.
- As a thesaurus, since it’s great for going “what’s that one word that sort of means all encompassing, commonly used in reference to research/studies?” and it’ll end up giving me “holistic.”
- As part of other software, such as how Linkwarden automatically tags bookmarks by category when I add them
- Double checking the answers I’ve come up with in regard to hyper-specific questions (usually about how a given piece of software can/can’t be used, or how it’ll interact with something else) just to make sure I’m not blatantly missing anything.
However, I try to avoid using it for anything that otherwise requires productive mental effort, because I find that I end up being a lot more informed and capable if I spend 5 minutes going through sites, learning about a topic, identifying wrong answers, and being able to put together better new queries in the first place, than I do if I ask a chatbot, even if it pulls from those same sources.
When you have a chatbot summarize or combine/condense information, you’ll always lose nuance and additional context, and very frequently that context will actually be helpful to your overall understanding. There’s also many cases where, for example, someone on a forum explains an issue a bit, and their profile has more related information on it that an LLM simply wouldn’t go for, only summarizing from their one response on that page. This can lead me down a rabbit hole that then leads me to finding other good sources. Maybe someone mentions that a particular site is helpful for what I’m looking for, and that then becomes something I use more frequently when I do searches for things, whereas an LLM would have just ignored that comment.
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.
You can’t steal data, only illegally copy it. The original data holder still has the data, just you do too.
I use it at work for stuff where it would be inefficient for me to pick up entirely new side skills to only be used rarely and sporadically.
For example, I made a spreadsheet tool to compose ordering spreadsheets in Excel for a system at work that needs them. Most of it uses basic macros that you can record with the basic macro recorder in Excel, with no special skill required, but every now and then I need to introduce functionality into it that’s far more complex.
Instead of learning obscure VBA coding for something I do once every two months, I can just tell ChatGPT that I have spreadsheet A called this and spreadsheet B called that, assume that they are both open, and write me a macro that does A and then B and then C and then D between them.
It does it in five seconds, I plug the code in, test it, and then go about my day. That’s its positive use case for me.
Same here. I also like to use it to save time on things. My work has all my info and their policies anyways so i use it to make meeting minutes, make emails summarizing policies or announcements, finding mutual scheduling times, etc. I can do all these myself but its so much faster.
I only really use AI at work and keep my work off my personal devices.
I’m very much against AI slop and hate how it’s the most prominent use in day to day life.
With that said, I work for a small government contracting company. We are careful about what we bid on, and of course it’s not a sure bet that we’ll get it. There is a lot of boilerplate stuff in these proposals. When I was on the bench, my boss asked me to help find some AI tools to help with proposal writing.
Honestly? I can see it being used in cases like this. I wish there weren’t so much fluff needed in these things, but that’s the hand we’re dealt. It’s not necessarily worth hiring another proposal writer for what we do, and I certainly wouldn’t use its output as-is without knowing what you’re proposing, but to get some decent starting verbiage, section by section, to be adjusted after? Yeah, I can see that being useful.
Echo this. I work in a similar proposal world which requires too much tailoring and fan fare. Feed in the RFP, load up our USP/methodology, and record a meeting where we talk shit about what the proposal needs to accomplish.
It shortcuts the first 50-60% of the process. But it’s helpful to have something to build over, rather than from scratch.
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.
• 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.I find it good for music and film suggestions. You feed it a set of ( I want a suggestion like these ) and it provides a good result.
Also good at building mermaid code for diagrams, just tell it write me mermaid code for this, and drop in a descriptive paragraph, then copy paste the code into mermaid.live
That use case became very useful so there is a paid mermaid page to automate that manual process.