Because in a lot of applications you can bypass hallucinations.
getting sources for something
as a jump off point for a topic
to get a second opinion
to help argue for r against your position on a topic
get information in a specific format
In all these applications you can bypass hallucinations because either it’s task is non-factual, or it’s verifiable while promoting, or because you will be able to verify in any of the superseding tasks.
Just because it makes shit up sometimes doesn’t mean it’s useless. Like an idiot friend, you can still ask it for opinions or something and it will definitely start you off somewhere helpful.
I love the people who are like “I tried to replace Wolfram Alpha with ChatGPT why is none of the math right?” And blame ChatGPT when the problem is all they really needed was a fucking calculator
The fucking problem is they stole my damn calculator and now they’re trying to sell me an LLM as a replacement.
LLMs are an interesting if mostly useless toy (an excessively costly one, though; Eliza achieved mostly the same results at a fraction of the cost).
The massive scam bubble that’s been built around them, however, and its absurd contribution to enshittification and global warming, is downright monstrous, and makes anyone defending commercial LLMs worthy of the utmost contempt, just like those who defended cryptocurrencies before LLMs became the latest fad.
Yes, but for some tasks mistakes don’t really matter, like “come up with names for my project that does X”. No wrong answers here really, so an LLM is useful.
The energy expenditure for GPT models is basically a per-token calculation. Having it generate a list of 3-4 token responses would barely be a blip compared to having it read and respond entire articles.
There might even be a case for certain tasks with a GPT model being more energy efficient than making multiple google searches for the same. Especially considering all the backend activity google tacks on for tracking users and serving ads, complaining about someone using a GPT model for something like generating a list of words is a little like a climate activist yelling at someone for taking their car to the grocery store while standing across the street from a coal-burning power plant.
… someone using a GPT model for something like generating a list of words is a little like a climate activist yelling at someone for taking their car to the grocery store while standing across the street from a coal-burning power plant.
no, it’s like a billion people taking their respective cars to the grocery store multiple times a day each while standing across the street from one coal-burning power plant.
each person can say they are the only one and their individual contribution is negligible. but get all those drips together and you actually have a deluge of unnecessary wastage.
Except each of those drips are subject to the same system that preferences individualized transport
This is still a perfect example, because while you’re nit-picking the personal habits of individuals who are a fraction of a fraction of the total contributors to GPT model usage, huge multi-billion dollar entities are implementing it into things that have no business using it and are representative for 90% of llm queries.
Similar for castigating people for owning ICE vehicles, who are not only uniquely pressued into their use but are also less than 10% of GHG emissions in the first place.
Stop wasting your time attacking individuals using the tech for help in their daily tasks, they aren’t the problem.
And yet virtually all of software has names that took some thought, creativity, and/or have some interesting history. Like the domain name of your Lemmy instance. Or Lemmy.
And people working on something generally want to be proud of their project and not name it the first thing that comes to mind, but take some time to decide on a name.
Wouldnt they also not want to take a random name off an AI generated list? How is that something to be proud of? The thought, creativity, and history behind it is just that you put a query into chatgpt and picked one out of 500 names?
Maybe its just a difference of perspective but thats not only not a special origin story for a name, its taking from others in a way you won’t be able to properly credit them, which is essential to me.
I would rather avoid the trouble and spend the time with a coworker or friend throwing ideas back and forth and building an identity intentionally.
I suppose AI could be nice if I was alone nearly all the time.
The process of throwing ideas back and forth usually doesn’t include just choosing one, but generating ideas as jumping off points, usually with some existing concept in mind. Talking with friends, looking at other projects, searching for inspiration online and in the real world, and now also generating some more ideas with an LLM to add to the mix. Using one source and just picking a suggestion probably won’t get you a good result.
Because in a lot of applications you can bypass hallucinations.
In all these applications you can bypass hallucinations because either it’s task is non-factual, or it’s verifiable while promoting, or because you will be able to verify in any of the superseding tasks.
Just because it makes shit up sometimes doesn’t mean it’s useless. Like an idiot friend, you can still ask it for opinions or something and it will definitely start you off somewhere helpful.
Also just searching the web in general.
Google is useless for searching the web today.
Not if you want that thing that everyone is on about. Don’t you want to be in with the crowd?! /s
All LLMs are text completion engines, no matter what fancy bells they tack on.
If your task is some kind of text completion or repetition of text provided in the prompt context LLMs perform wonderfully.
For everything else you are wading through territory you could probably do easier using other methods.
I love the people who are like “I tried to replace Wolfram Alpha with ChatGPT why is none of the math right?” And blame ChatGPT when the problem is all they really needed was a fucking calculator
The fucking problem is they stole my damn calculator and now they’re trying to sell me an LLM as a replacement.
LLMs are an interesting if mostly useless toy (an excessively costly one, though; Eliza achieved mostly the same results at a fraction of the cost).
The massive scam bubble that’s been built around them, however, and its absurd contribution to enshittification and global warming, is downright monstrous, and makes anyone defending commercial LLMs worthy of the utmost contempt, just like those who defended cryptocurrencies before LLMs became the latest fad.
so, basically, even a broken clock is right twice a day?
No, maybe more like, even a functional clock is wrong every 0.8 days.
https://superuser.com/questions/759730/how-much-clock-drift-is-considered-normal-for-a-non-networked-windows-7-pc
The frequency is probably way higher for most LLMs though lol
Yes, but for some tasks mistakes don’t really matter, like “come up with names for my project that does X”. No wrong answers here really, so an LLM is useful.
great value for all that energy it expends, indeed!
deleted by creator
The energy expenditure for GPT models is basically a per-token calculation. Having it generate a list of 3-4 token responses would barely be a blip compared to having it read and respond entire articles.
There might even be a case for certain tasks with a GPT model being more energy efficient than making multiple google searches for the same. Especially considering all the backend activity google tacks on for tracking users and serving ads, complaining about someone using a GPT model for something like generating a list of words is a little like a climate activist yelling at someone for taking their car to the grocery store while standing across the street from a coal-burning power plant.
no, it’s like a billion people taking their respective cars to the grocery store multiple times a day each while standing across the street from one coal-burning power plant.
each person can say they are the only one and their individual contribution is negligible. but get all those drips together and you actually have a deluge of unnecessary wastage.
Except each of those drips are subject to the same system that preferences individualized transport
This is still a perfect example, because while you’re nit-picking the personal habits of individuals who are a fraction of a fraction of the total contributors to GPT model usage, huge multi-billion dollar entities are implementing it into things that have no business using it and are representative for 90% of llm queries.
Similar for castigating people for owning ICE vehicles, who are not only uniquely pressued into their use but are also less than 10% of GHG emissions in the first place.
Stop wasting your time attacking individuals using the tech for help in their daily tasks, they aren’t the problem.
How is that faster than just picking a random name? Noone picks software based on name.
And yet virtually all of software has names that took some thought, creativity, and/or have some interesting history. Like the domain name of your Lemmy instance. Or Lemmy.
And people working on something generally want to be proud of their project and not name it the first thing that comes to mind, but take some time to decide on a name.
Wouldnt they also not want to take a random name off an AI generated list? How is that something to be proud of? The thought, creativity, and history behind it is just that you put a query into chatgpt and picked one out of 500 names?
Maybe its just a difference of perspective but thats not only not a special origin story for a name, its taking from others in a way you won’t be able to properly credit them, which is essential to me.
I would rather avoid the trouble and spend the time with a coworker or friend throwing ideas back and forth and building an identity intentionally.
I suppose AI could be nice if I was alone nearly all the time.
The process of throwing ideas back and forth usually doesn’t include just choosing one, but generating ideas as jumping off points, usually with some existing concept in mind. Talking with friends, looking at other projects, searching for inspiration online and in the real world, and now also generating some more ideas with an LLM to add to the mix. Using one source and just picking a suggestion probably won’t get you a good result.