I have to disagree with you. Ai is never a more accurate way to describe what we have now. Not until they call true ai something different.

I know its a weird hill to die on, but die on it I will. Calling one artifical intelligence and one virtual intelligence could work.

Also it's my understanding that LLMs are considered a type of neural net so I don't see it being more accurate to call it a neural net vs a llm.

And they are all subsets of machine learning so calling it an ml model leads me back to the same issue I have with "ai". (And the same reason those loser usb fucks can suck a bag of dildos) lack of clairty of what it actually can do.

It definitely is. As someone who actually struggles with severe ADHD this comment makes my piss boil.

Subtitles is a perfect use case for LLMs.

I second that, this person is actually just lazy. I got ADHD and I always add fucking alt text, it's part of the normal post routine no matter if I took my meds or not. And it's not like you can't edit it into posts if you clicked send too quickly.

I'd even argue it makes your social media experience better. Forces awareness to what you do, gives you time to reflect on your post.

There was someone on tiktok defending AI "art", who says that he has ADHD and how it is hard for him to concentrate on art and how AI makes his life "easier" by allowing him to feel like he did something, don't remember exactly but it was something like that. But he also forgot how many disabled people there are, with different disabilities, and still be able to make like perfect art. He also mentioned how he wasn't born with talent, not like talent doesn't really exist.

Understandable, AI marketing now is a shitshot, but they are not even AI I think. Just people forget that tech used to do magic before AI existed.

Probably self diagnosed with whatever cool disorder is hot right now

Subtitles is a perfect use case for LLMs.

How would an llm fix a mistake equivalent to something being misheard? I feel like you're misunderstanding something and could probably also use some help with your English.

It's kind of the other way around, we've always had AI, it used to just basically mean a computer making some decision based on data. Like a thermostat changing the heating in response to a temperature change.

Then we got LLMs and because they are good at pretending to have complex reasoning ability, AI as a term started to always mean "computer with near human level intelligence" which of course they are absolutely not.

I have to disagree with you. Ai is never a more accurate way to describe what we have now. Not until they call true ai something different.

I know its a weird hill to die on, but die on it I will. Calling one artifical intelligence and one virtual intelligence could work.

Also it's my understanding that LLMs are considered a type of neural net so I don't see it being more accurate to call it a neural net vs a llm.

And they are all subsets of machine learning so calling it an ml model leads me back to the same issue I have with "ai". (And the same reason those loser usb fucks can suck a bag of dildos) lack of clairty of what it actually can do.

[...]could probably also use some help with your English.

what the actual fluff is up with lemmy.world accounts in this thread acting like jerks?

edit to clarify a misconception in the comments, this is an instagram post so “caption” refers to the description under the image or video

as an example, this text i am typing now is also a “caption”

just saying because someone started a debate misunderstanding this to be about subtitles (aka “closed captions”) and that’s just not the case

How would an llm fix a mistake equivalent to something being misheard? I feel like you're misunderstanding something and could probably also use some help with your English.

Automatic subtitles like on YouTube use Machine Learning, NOT a Large Language Model.

Then call it ML or a neural net. Using the term LLM like you are for other forms of machine learning is just going to cause needless confusion, like it has in this thread.

Be nice (Rule 2).

No. "Machine learning" is the root of the tree.

Or to steal another commenters attempts to have me call it that - that would be like calling a chihuahu a wolf.

Machine learning -> neural net -> LLM. Thats the basic "path". I dont CARE if LLM is technically wrong when using machine learning or neural net is also inaccurate.

If anything yall should be arguing for me to call it ASR 2.0

to clarify we are talking about a post caption, not closed captions.

that is, the text you put in the description of an image or video post.