As of now its overblown. Still a useful tool tho. Ive been using deepseek to help with resume formatting. Just dont let them do any actual writing for you or theyll make shit up. But for formatting theyre great. Feed it what you wrote, and ask to to clean it up without changing the text. Re read it to make sure it didnt change stuff anyway. Its also great at things like troubleshooting issues. Way better then just googling it. You can still run into hallucinations tho so be careful. I also reccomend avoiding any western AI and only use chinese AI. Its better and safer.

Generative ai is just an advanced chat bot, a toy that uses too much power to be efficient.

My personal experience is that any output has to be double checked and edited. It would be better to just do whatever I asked it to do from the beginning. When it can fact check itself and cite sources, then it might become useful.

An ai that can comb through vast amounts of data and give an output of specific data relevant to the question presented than a generative ai might be useful. But it can’t analyze data very well at the current moment. It hallucinates too much.

I think it’s fine if used in moderation. I use mine for doing the mindless day-to-day stuff like writing cover letters or business-type emails. I don’t use it for anything creative though, just to free myself up to do that stuff.

I also suck at coding so I use it to write little scripts and stuff. Or at least to do the framework and then I finish them off.

It’s bullshit. It’s inauthentic. It can be useful for chewing through data, but even then the output can’t be trusted. The only people I’ve met who are absolutely thrilled by it are my bosses, who are two of the most frustrating, stupid, pig-headed, petty people I’ve ever met. I wish it would go away. I’m quitting my job next week, taking a big paycut and barely being able to pay the bills, specifically because those two people are unbearable. They also insist that I use AI as much as possible.

I’m a layman in terms if AI but I think it can be a useful tool, if used in proper context. I use it when I struggle to find something by regular internet search. The fact you can search in a conversational style and specify as you go on what you need is great.

I feel it is pushed into contexts where it has no place and where it’s usefulness is limited or counterproductive.

Then there is the question of the inproper use of copyrighted material which is terrible

I kinda wish we had one on lemmy that summarized articles since we dont have the userbase of reddit (theres always some dude summarizing the facts without the fluff in the comments) AI is good at summaries.

Actual piracy doesn’t bother me, but I’m supposed to care that a robot learned English by reading library books? Learning is what libraries are for. Yeah, the draw-anything robot can only draw The Simpsons because it’s seen The Simpsons. How else was it supposed to happen?

Training is transformative use. You can’t spend a zillion compute-hours guessing the next word of a story, in such a way that it can fake Tolkien retelling Shrek as a rap battle, and claim that’s the same as LordOfTheRings.txt on an FTP server. What the network is and does will not substitute the original work. Not unless the Silmarillion had more swamp ogres than I’ve heard.

Image stuff will become a brush that does whatever you tell it. Type the word “inks” and drag it over your sketch, and it’ll smooth out your lines. Type the word “photorealistic” and it’ll turn your blocky shading into unreasonably good lighting. None of this prevents human art. The more you put in, the more you get out. Stable Diffusion is a denoiser, where the concept of noise can be defined as bad anatomy.

Video stuff might end Hollywood, as soon as editors figure out they’ve inherited the Earth. The loosest animatics can become finished shots without opening Blender or picking up a camera. A static image of what a character looks like should be enough to say, this stick figure is that guy. Or this actor is that cartoon character. Or this cardboard cutout is that approaching spaceship. The parts that don’t look like that are noise, and get removed. We’re rapidly going to learn how blobby and blurry an input can be, for the machine to export a shot from your head, just the way you imagine it. And where it’s not exactly what you intended - neither is any shot ever filmed. A film only exists in the edit. So anyone who can string together some already-spooky output, based on the stories they’d like to tell, is going to be a studio unto themselves.

It’s a tool with some interesting capabilities. It’s very much in a hype phase right now, but legitimate uses are also emerging. Automatically generating subtitles is one good example of that. We also don’t know what the plateau for this tech will be. Right now there are a lot of advancements happening at rapid pace, and it’s hard to say how far people can push this tech before we start hitting diminishing returns.

For non generative uses, using neural networks to look for cancer tumors is a great use case https://pmc.ncbi.nlm.nih.gov/articles/PMC9904903/

Another use case is using neural nets to monitor infrastructure the way China is doing with their high speed rail network https://interestingengineering.com/transportation/china-now-using-ai-to-manage-worlds-largest-high-speed-railway-system

DeepSeek R1 appears to be good at analyzing code and suggesting potential optimizations, so it’s possible that these tools could work as profilers https://simonwillison.net/2025/Jan/27/llamacpp-pr/

I do think it’s likely that LLMs will become a part of more complex systems using different techniques in complimentary ways. For example, neurosymbolics seems like a very promising approach. It uses deep neural nets to parse and classify noisy input data, and then uses a symbolic logic engine to operate on the classified data internally. This addresses a key limitation of LLMs which is the ability to do reasoning in a reliable way and to explain how it arrives at a solution.

Personally, I generally feel positively about this tech and I think it will have a lot of interesting uses down the road.

I personally hate the path that AI is going. Generative ai steals art and scrapes text to create garbage on demand using too much power and computing resources that could be spent on better purposes, such as simulating protein folding for disease research (see folding at home). u/yogthos@lemmy.ml gave some good uses of ai.

To be honest, I think it’s a severe mistake that AI is continuing to improve, as long as you aren’t gullible and know what to look for, you can tell when something is ai generated, but there are too many people who are easily fooled by ai generated images and videos. When chatpgt released, I thought it was a nice toy, but now that I know the methods of which such large scale models are obtaining their data to train on, I can only resent it. So long as generative models continue to improve in accuracy of text and images, so will my hatred towards it in turn.

p.s: don’t use the term “AI art” for the love of God. art captures human emotions and experiences, machines can’t understand them, they are only silicon. Only humans can create art, nothing else.

Most GenAI was trained on material they had no right to train on (including plenty of mine). So I’m doing my small part, and serving known AI agents an infinite maze of garbage. They can fuck right off.

Now, if we’re talking about real AI, that isn’t just a server park of disguised markov chains in a trenchcoat, neural networks that weren’t trained on stolen data, that’s a whole different story.

It’s a glorified crawler that is incredibly inefficient. I don’t use it because I’ve been programmed to be picky about my sources and LLMs haven’t.

Let me know when we have some real AI to evaluate rather than products labeled as a marketing ploy. Anyone remember when everything had to be called “3D” because it was cool? I missed my chance to get 3D stereo cables.

Pretty cool technology ruined by greed. If we don’t get this under control (which we won’t probably) we’re in for a pretty interesting age of the Internet, maybe even the last one.

Hype bubble. Has potential, but nothing like what is promised.

Mixed feelings. I decided not to study graphic design because I saw the writing on the wall, so I’m a little salty. I think they can be really useful for cutting back on menial tasks though. For example, I don’t see why people bitch about someone using AI for their cover letter as long as they proofread it afterwards. That seems like the kind of thing you’d want to automate, unlike art and human interaction.

I think right now I just kind of hate AI because of capitalism. Tech companies are trying to make it sound like they can do so many things they really can’t, and people are falling for it.