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.

I don’t use it for writing code because that’s what I love but I use it for documentation and other stuff I hate…😂

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

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.

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 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.

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’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.

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.

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

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.

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.

You can’t steal data, only illegally copy it. The original data holder still has the data, just you do too.

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.

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.