There are some great use cases, for instance transcribing handwritten records and making them searchable is really exciting to me personally. They can also be a great tool if you learn to work with them (perhaps most importantly, know when not to use them - which in my line of work is most of the time).

That being said, none of these cases, or any of the cases in this thread, is going to return the large amounts of money now being invested in AI.

My understanding is that it will eventually used to improve autocorrect, when they get it working properly.

simple tasks you can verify yourself and you're just rolling dice for some time saved. everything else is kinda shit

There is no point. There are billions of points, because there are billions of people, and that's the point.

You know that there are hundreds or thousands of reasonable uses of generative AI, whether it's customer support or template generation or brainstorming or the list goes on and on. Obviously you know that. So I'm not sure that you're asking a meaningful question. People are using a tool to solve various problems, but you don't see the point in that?

If your position is that they should use other tools to solve their problems, that's certainly a legitimate view and you could argue for it. But that's not what you wrote and I don't think that's what you feel.

Learning how to use Linux

I think LLMs could be great if they were used for education, learning and trained on good data. The encyclopedia Britannica is building an AI exclusively trained on its data.

It also allows for room for writers to add more to the database, to provide broader knowledge for the AI, so people keep their jobs.

I use it to re-tone and clarify corporate communications that I have to send out on a regular basis to my clients and internally. It has helped a lot with the amount of time I used to spend copy editing my own work. I have saved myself lots of hours doing something I don't really like (copy-editing) and more time doing the stuff I do (engineering) because of it.

I know they are being used to, and are decently good for, extracting a single infornation from a big document (like a datasheet). Considering you can easily confirm the information is correct, it's quite a nice use case

I like using it to help get the ball rolling on stuff and organizing my thoughts. Then I do the finer tweaking on my own. Basically I kinda use a sliding scale of the longer it takes me to refine an AI output for smaller and smaller improvements is what determines when I switch to manual.

I recently had to digitize dozens of photos from family scrapbooks, many of which had annoying novelty pattern borders cut out of the edges. Sure, I could have just cropped the photos more to hide the stupid zigzagged missing portions. But I had the beta version of Photoshop installed with the generative fill function, so I tried it. Half the time it was garbage, but the other half it filled in a bit of grass or sky convincingly enough that you couldn't tell the photo was damaged. +1 acceptable use case for generative AI, I guess.

I have personally found it fantastic as a programming aid, and as a writing aid to write song lyrics. The art it creates lacks soul and any sense of being actually good but it's great as a "oh I could do this cool thing" inspiration machine

Just today I needed a pdf with filler english text, not lorem. ChatGPT was perfect for that. Other times when I'm writing something I use it to check grammar. It's way better at it than grammarly imo, and faster and makes the decisions for me BUT PROOF-READ IT. if you really fuck the tenses up it won't know how to correct it, it'll make things up. Besides these: text manipulation. I could learn vim, write a script, or I could just copy "remove the special characters" enter -> done.

I use perplexity for syntax. I don't code with it, but it's the perfect one stop shop for "how does this work in this lang again" when coding. For advanced/new/unpopular APIs it's back to the olds school docs, but you could try to give it the link so it parses it for you, it's usually wonky tho.

Programming quick scripts and replacement for Google/Wikipedia more than anything. I chat to it on an app to ask about various facts or info I wanted to know. And it usually gets in depth pretty quickly.

Also cooking. I've basically given up on recipe sites, except for niche, specific things. AI gets stuff relatively right and quickly adjusts if I need substitutions. (And again, hands free for my sticky flour fingers).

And ideation. Whether I'm coming up with names, or a specific word, or clothes, or a joke, I can ask AI for 50 examples and I can usually piece together a result I like from a couple of those.

Finally, I'll admit I use it as a sounding board to think through topics, when a real human who can empathise would absolutely be better. Sadly, the way modern life is, one isn't always available. It's a small step up from ELIZA.

The key is that AI is part of the process. Just as I would never say "trust the first Google result with your life", because its some internet rando who might say anything, so too should you not let AI have the final word. I frequently question or correct it, but it still helps the journey.

I wish I could have an AI in my head that would do all the talking for me because socializing is so exhausting

Amazing for reading docs

I hate questions like this due to 1 major issue.

A generative ai with "error free" Output, is very differently useful than one that isn't.

Imagine an ai that would answer any questions objectively and unbiased, would that threaten job? Yeah. Would it be an huge improvement for human kind? Yeah.

Now imagine the same ai with a 10% bs rate, like how would you trust anything from it?

Currently generative ai is very very flawed. That is what we can evaluate and it is obvious. It is mostly useless as it produces mostly slop and consumes far more energy and water than you would expect.

A "better" one would be differently useful but just like killing half of the worlds population would help against climate change, the cost of getting there might not be what we want it to be, and it might not be worth it.

Current market practice, cost and results, lead me to say, it is effectively useless and probably a net negative for human kind. There is no legitimate usage as any usage legitimizes the market practice and cost given the results.

In creative works like writing or art, it feels soulless and poor quality. In programming at best it’s a shortcut to avoid deeper learning, at worst it spits out garbage code that you spend more time debugging than if you had just written it by yourself.

I'd actually challenge both of these. The property of "soulessness" is very subjective, and AI art has won blind competitions. On programming, it's empirically made faster by half again, even with the intrinsic requirement for debugging.

It's good at generating things. There are some things we want to generate. Whether we actually should, like you said, is another issue, and one that doesn't impact anyone's bottom line directly.

The winter storm was set to arrive while I’m traveling, and I needed to drip our faucets to avoid our pipes bursting. I didn’t want to waste water from a dripping faucet for more than a week, so I asked duckduckgo AI to calculate how much water will 1 drop a second accumulate and if it will overflow on a standard baththub with the drain closed. I can do the math myself, but it’s easier for AI to do it.

So what’s the point of it all?

To reduce wages.

Instead of using tech to reduce work and allow humans to thrive and make art, we use tech to make art and force humans into long hours of drudgery and repetitive bitch work just because CEOs like to watch other people suffer I guess.

art. It's a new medium, get over it

Never used it until recently. Now I use it to vent because I'm a crazy person.

Learning languages is a great use case. I'm learning Mandarin right now, and being able to chat with a bot is really great practice for me. Another use case I've found handy is using it as a sounding board. The output it produces can stimulate new ideas in my own head, and it makes it a good exploration tool that let me pull on different threads of thought.

Documentation work, synthesis, sentiment analysis

Making dynamic templates.