I use it all the time, to translate, explain, give guides, write code, do repetitive menial tasks, fix code, understand others code.

I get the hatred for it, but I use it almost every day.

An LLM (large language model, a.k.a. an AI whose output is natural language text based on a natural language text prompt) is useful for the tasks when you’re okay with 90% accuracy generated at 10% of the cost and 1,000% faster. And where the output will solely be used in-house by yourself and not served to other people. For example, if your goal is to generate an abstract for a paper you’ve written, AI might be the way to go since it turns a writing problem into a proofreading problem.

The Google Search LLM which summarises search results is good enough for most purposes. I wouldn’t rely on it for in-depth research but like I said, it’s 90% accurate and 1,000% faster. You just have to be mindful of this limitation.

I don’t personally like interacting with customer service LLMs because they can only serve up help articles from the company’s help pages, but they are still remarkably good at that task. I don’t need help pages because the reason I’m contacting customer service to begin with is because I couldn’t find the solution using the help pages. It doesn’t help me, but it will no doubt help plenty of other people whose first instinct is not to read the f***ing manual. Of course, I’m not going to pretend customer service LLMs are perfect. In fact, the most common problem with them seems to be that they go “off the script” and hallucinate solutions that obviously don’t work, or pretend that they’ve scheduled a callback with a human when you request it, but they actually haven’t. This is a really common problem with any sort of LLM.

At the same time, if you try to serve content generated by an LLM and then present it as anything of higher quality than it actually is, customers immediately detest it. Most LLM writing is of pretty low quality anyway and sounds formulaic, because to an extent, it was generated by a formula.

Consumers don’t like being tricked, and especially when it comes to creative content, I think that most people appreciate the human effort that goes into creating it. In that sense, serving AI content is synonymous with a lack of effort and laziness on the part of whoever decided to put that AI there.

But yeah, for a specific subset of limited use cases, LLMs can indeed be a good tool. They aren’t good enough to replace humans, but they can certainly help humans and reduce the amount of human workload needed.

I hate that it monetized general knowledge that use to be easily searchable then repackaged it as some sort of black box randomizer.

Yes:

• Demystifying obscure or non-existent documentation
• Basic error checking my configs/code: input error, ask what the cause is, double check it’s work. In hour 6 of late night homelab fixing this can save my life
• I use it to create concepts of art I later commission. Most recently I used it to concept an entirely new avatar and I’m having a pro make it in their style for pay
• DnD/Cyberpunk character art generation, this person does not exist website basically
• duplicate checking / spot-the-diffetences, like pastebins “differences” feature because the MMO I play released prelim as well as full patch notes and I like to read the differences

ChatGPT is incredibly good at helping you with random programming questions, or just dumping a full ass error text and it telling you exactly what’s wrong.

This afternoon I used ChatGPT to figure out what the error preventing me from updating my ESXi server. I just copy pasted the entire error text which was one entire terminal windows worth of shit, and it knew that there was an issue accessing the zip. It wasn’t smart enough to figure out “hey dumbass give it a full file path not relative” but eventually I got there. Earlier this morning I used it to write a cross apply instead of using multiple sub select statements. It forgot to update the order by, but that was a simple fix. I use it for all sorts of other things we do at work too. ChatGPT won’t replace any programmers, but it will help them be more productive.

I thought it was pretty fun to play around with making limericks and rap battles with friends, but I haven’t found a particularly usefull use case for LLMs.

It helps make simple code when Im feeling lazy at work and need to get something out the door.

In personal life, I run a local llm server with SillyTavern, and get into some kinky shit that often makes for an intense masturbation session. Sorry not sorry.

Generative AI has been an absolute game changer in my retouching work. Slightly worrying that it’ll put me out of work sometime in the future, but for now it’s saving me loads of time, handling the boring stuff so I can concentrate on the stuff it can’t do.

If you specifically mean LLM/GenAI:

• Some of my friends enjoy fucking around with those character AIs. I never got the appeal, even as an RP nerd, RPing is a social activity to me, and computers aren’t people
• I have seen funny memes be made with Image Generators – And tbqh as long as you’re not pretending that being an AI prompter makes you an “artist”, by all means go crazy with generating AI images for your furry porn/DnD campaign/whatever
• https://goblin.tools/ is a cool little thing for people as intensely autistic as I am, and it runs off AI stuff.
• Voice Recognition/Dictation technology powered by AI is a lot better than its pre-AI sibling. I’ve been giving it a shot lately. It helps my arthritis-ridden hands.

If you mean anything that utilizes machine learning (“AI” is a buzzword), then “AI” technology has been used to help scientists and doctors do their jobs better since the mid 90s

AI is used extensively in science to sift through gigantic data sets. Mechanical turk programs like Galaxy Zoo are used to train the algorithm. And scientists can use it to look at everything in more detail.

Apart from that AI is just plain fun to play around with. And with the rapid advancements it will probably keep getting more fun.

Personally I hope to one day have an easy and quick way to sort all the images I have taken over the years. I probably only need a GPU in my server for that one.

I work on a 20+ year knowledge base for a big company that has had no real content management governance for pretty much that whole time.

We knew there was duplicate content in that database, but were talking about thousands of articles, with several more added daily.

With such a small team, identifying duplicate/redundant content was just an ad-hoc thing that could never be tackled as a whole without a huge amount of resources.

AI was able to comb through everything and find hundreds of articles with duplicate/redundant content within a few hours. Now we have a list of articles we can work through and clean up.

Text generation is Frozen Yogurt now.

Noticeably worse, but you can have so much more.

I use it for coding (rarely pure copy paste), explaining code, use/examples, finding tools to use. Better translation than Google translate for Japanese. Asking for things that search engines only gives generic results for.

I’ve enjoyed some of the absurd things out can come up with. Surreal videos and memes (every president as a bodybuilder wrestler). However it’s never been useful and the cost isn’t worth the benefit, to me.

Im suprisingly on board for ai art. It does allow you to create whatewer you want without having the technical ability to do so. ( For example of you want a sick wallpaper ) Ot significantly lowers the floor as far as creating anything art related goes.