I created a funny AI voice recording of Ben Shapiro talking about cat girls.

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.

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’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.

I for one welcome our new overlords. (for the funny only)

Good for rephrasing things when I’m having trouble.

I have a local instance of Stable Diffusion that I use to make art for MtG proxies. Prior to AI my art was limited to geometric designs and edits of existing pieces. Integrating AI into my work flow has expanded my abilities greatly, and my art experience means that I can do more with it than just prompt engineering.

Boilerplate code (the stuff you usually have to copy anyway from GitHub) and summarising long boring articles. That’s the use case for me. Other than that I agree - and having done AI service agent coding myself for fun I can seriously say that I would not trust it to run a business service without a human in the loop

I think it’s a fun toy that is being misused and forced into a lot of things it isn’t ready for.

I’m doing a lot with AI but it’s pretty much slop. I use self hosted stable diffusion, Ollama, and whisper for a discord bot, code help, writing assistance, and I pay elevenlabs for TTS so I can talk to it. It’s been pretty useful. It’s all running on an old computer with a 3060. Voice chat is a little slow and has its own problems but it’s all been fun to learn.

Depends on what you mean by “like” lol

It’s nice to generate images of settings for my d&d campaign.
It’s nice that I can replace Google/Siri with something I run and control locally, for controlling my home.

But those aren’t really important things

You can whip up a whole album of aggressively mid music just cyberbullying the shit out of one person.

I agree, I don’t really use it but I do like some of the memes that came out of it, case in point:

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

When it just came out I had AI write fanfiction that no sane person would write, and other silly things. I liked that. That and trail cam photos of the Duolingo mascot.

I think my complaints are more with how capitalism treats new technology, though-- and not just lost jobs and the tool on the climate. Greed and competition is making it worse and worse as a technology that AI itself, within a years span, has been enshittified. There are use cases that it can do a world of good, though, just like everything else bad people ruin.

Do I think it’s generally useful? No, not at all.

But for very specific purposes it’s worth considering as an option.

Text-to-image generation has been worth it to get a jumping-off point for a sketch, or to get a rough portrait for a D&D character.

Regular old ChatGPT has been good on a couple occasions for humor (again D&D related; I asked it for a “help wanted” ad in the style of newspaper personals and the result was hilariously campy)

In terms of actual problem solving… There have been a couple instances where, when Google or Stack Overflow haven’t helped, I’ve asked it for troubleshooting ideas as a last resort. It did manage to pinpoint the issue once, but usually it just ends up that one of the topics or strategies it floats prove to be useful after further investigation. I would never trust anything factual without verifying, or copy/paste code from it directly though.