It’s good for speech to text, translation and a starting point for a “tip-of-my-tongue” search where the search term is what you’re actually missing.
Gointhefridge@lemm.ee 3 days ago
I’m still really struggling to see an actual formidable use case for AI outside of computation and aiding in scientific research. Stop being lazy and write stuff. Why are we trying to give up everything that makes us human by offloading it to a machine?
superkret@feddit.org 3 days ago
theterrasque@infosec.pub 2 days ago
With chatgpt’s new web search it’s pretty good for more specialized searches too. And it links to the source, so you can check yourself.
It’s been able to answer some very specific niche questions accurately and give link to relevant information.
greybeard@lemmy.one 2 days ago
Its uses are way more subtle than the hype, but even LLMs can have uses, occasionally. Specifically, I use one to categorize support tickets. It just has to pick from a list of probable categories. Nice and simple for it. Something humans can do just as easily, but when you have a history of 2 million tickets that need to be categorized, suddenly the LLM can do it when it would drive a human insane. I’m sure there are lots of little tasks like that. Nothing revolutionary, but still valuable.
candybrie@lemmy.world 2 days ago
Why are we trying to give up everything that makes us human by offloading it to a machine
Because we don’t enjoy actually doing it. No one who likes writing is asking chat gpt to write for them. It’s people who don’t want to write but are required to for whatever reason. Humans will always try to come up with a way to not have to do the work they don’t want to but still get it done, even if it’s not as good. Using tools like this is very human.
CubitOom@infosec.pub 3 days ago
It can be really good for text to speech and speech to text applications for disabled or people with learning disabilities.
However it gets really funny and weird when it tries to read advanced mathematics formulas.
I have also heard decent arguments for translation although in most cases it would still be better to learn the language or use a professional translator.
five82@lemmy.world 3 days ago
The relentless pursuit of capitalism and reduced labor costs. I still don’t think anyone knows how effective it’s going to be at this point. But companies are investing billions to find out.
bloup@lemmy.sdf.org 3 days ago
I don’t use it for writing directly, but I do like to use it for worldbuilding. Because I can think of a general concept that could be explored in so many different ways, it’s nice to be able to just give it to an LLM and ask it to consider all of the possible ways it could imagine such an idea playing out. it also kind of doubles as a test because I usually have some sort of idea for what I’d like, and if it comes up with something similar on its own that kind of makes me feel like it would be something which would easily resonate with people. Additionally, a lot of the times it will come up with things that I hadn’t considered that are totally worth exploring.
chakan2@lemmy.world 3 days ago
I’m still really struggling to see an actual formidable use case
It’s an excellent replacement for middle management blather. Content that has no backing in data or science but needs to sound important.
randon31415@lemmy.world 3 days ago
umami_wasbi@lemmy.ml 3 days ago
It is a ok tool to get things started.
deegeese@sopuli.xyz 3 days ago
AI summaries of larger bodies of text work pretty well so long as the source text itself is not slop.
Predictive text entry is a handy time saver so long as a human stays in the driver’s seat.
Neither of these justify current levels of hype.
noodlejetski@lemm.ee 3 days ago
arstechnica.com/…/australian-government-trial-fin…
ea.rna.nl/…/when-chatgpt-summarises-it-actually-d…
kitnaht@lemmy.world 3 days ago
Go look at the models available on huggingface.
There’s applications in Visual Question Answering, Video to Text, Depth Estimation, 3D recreation from a photo, Object detection, visual classification, Translation from language to language, Text to realistic speech, Robotics Reinforcement learning, Weather Forecasting, and those are just surface-level models.
It absolutely justifies current levels of hype because the research done now will absolutely put millions out of jobs; and will be much cheaper than paying people to do it.
chrash0@lemmy.world 3 days ago
the reactionary opinions are almost hilarious. they’re like “ha this AI is so dumb it can’t even do complex systems analysis! what a waste of time” when 5 years ago text generation was laughably unusable and AI generated images were all dog noses and birds.
Mbourgon@lemmy.world 3 days ago
I think he’s talking about the LLMs, which…yeah. AI and LLMs are lumped together (which makes sense, but classification makes a huge difference here)
kitnaht@lemmy.world 2 days ago
Even LLMs in the context of coding, I am no programmer - I have memory issues, and it means I can’t keep the web of information in my head long enough to debug the stuff I attempt to write.
With AI assistants, I’ve been able to create multiple mictocontroller projects that I wouldn’t have even started otherwise. They are amazing assistive technologies. Many times, they’re even better than language documentation themselves because they can give an example of something that almost works. So yes, even LLMs deserve the amount of hype they’ve been given.