and then when it cannot do what people want it to do they will either hire people who can and/or people will leave and stop purchasing the companies products
this place is literally an example of people moving away from a product (reddit) because it doesn’t do what they wanted to do
apparently in your universe everyone sticks with the original product until the end of time no matter how bad it gets
which is surprising we’re not still all on irc and posting on vbuliten forums
The two are not contradictory positions: the problem with AI is societal - all the jobs being given over to it is a problem that’s only compounded by the larger issue of people fundementally not understanding the sharp limitations of AI, and how it cannot actually be used to replace most jobs.
You think we live in a completely rational society that operates off market fundamentals like “supply and demand”? That is like planning a road trip assuming you’ll drive on a frictionless flat plane in a vacuum.
If supply and demand were truly adhered to, Boeing airplanes would be out of business after their doors falling off mid flight became widely knwon. Tesla would be out of business since their cars break when going into a carwash. Several banks would be out of business after gambling on housing speculation.
The idea that we live in a self regulating society that operates off The Invisible Hand is pure fantasy. Capitalism picks winners and losers all the time while making excuses swallowed by rubes like you.
If we lived in a society that made rational decisions you would be 100% right. Also, everything wouldn’t be all “this is fine” right now, most of the world’s problems would be getting solved and I wouldn’t be screaming and screaming and screaming into the void.
Anyone who says the first is lying to you. LLMs are actually incredibly useful tool in the tasks they were initially designed for like machine translation, natural sounding text-to-speech and accurate speech-to-text.
In trying to generate hype (or more rather revenue), the companies responsible for these models have been throwing LLMs into all sorts of functions they just weren’t designed for - often to haphazard results.
It’s like asking a really well-trained parrot to fact-check for you, code for you, write stories to you. It knows what these things look like, so can make really convincing copies and mash-ups that look right on first read - but it can’t iterate and make new things because it doesn’t actually know what training data it has is fact/fiction, it doesn’t know what code actually does, and it has no idea what a cohesive story is.
The problem is that executives and shareholders are only aware of what’s being hyped up about LLMs, and not of the technical limitations underneath that make them rather unreliable compared to specialised neural networks or just plain trained professionals.
So it is simultaneously robbing people of their jobs because of hype, while doing an absolutely terrible job of it because it is fundamentally limited in what it can replace.
New being unfamiliar. LLMs can’t just abstractly create things they don’t have training data for the same way a human can. They’re parrots that rely on training data to “create” anything, and that’s why I said they’re good at creating copies and mash-ups.
A good example is DALI being famously unable to depict an empty glass of wine because its training data didn’t have one.
OpenAI had to feed it training data of empty wine glasses to undo that.
That need for base data to make literally anything is the whole reason why AI companies have been scraping the ever living shit out of the internet, to give as much training data to mash-up as is possible.
The more data it has, the more convincingly unique its output can be.
Iterate was a poor word to use, but you’ll have to chalk that up to me being a fallible human.
What I mean is that it can’t extrapolate from training data to make something unique. Everything it makes you will always be cobbled together from the data it has, because LLMs only know what things look like, not what they are as concepts.
Hell you want to see AI not understanding what good code actually is - look at MicroSlop’s Windows 11, where damn near every update has a crippling bug in it that could’ve been avoided
Ask some image generator to make an image of a undarbinian alien, which are super aggressive. I made that up and Google shows no result.
Create an image of a beaver-axolotl-bird. I am sure there exists no such picture on the web. It will make it up. I could not make both of these things up or somehow imagine them. You could also ask an LLM to generate these examples in the first place. Is that not “something new”? Not unique? Define these words then. These systems being unable to do some specific detail does not mean they can’t do anything to begin with. No human can do everything, that is completely disconnected from everything we are discussing.
Also, Windows, pre LLM it was bug free and nobody complained?
It’s useful enough to fire huge chunks of the workforce and then make the leftovers carry the extra load, but corpos been doing that way before LLMs. Now they just have a plausible excuse
Lemmy: AI is useless, literally useless, it provides no value
Also Lemmy: It’s going to take all our jobs and we’ll have literally nothing to do because AI will do everything!!!111
They don’t have to make an LLM that can actually do your job to get you fired, they just have to convince your boss that it can.
and then when it cannot do what people want it to do they will either hire people who can and/or people will leave and stop purchasing the companies products
this place is literally an example of people moving away from a product (reddit) because it doesn’t do what they wanted to do
apparently in your universe everyone sticks with the original product until the end of time no matter how bad it gets
which is surprising we’re not still all on irc and posting on vbuliten forums
I bet even an llm could haven given a better overview of the discussion around ai on lemmy
The two are not contradictory positions: the problem with AI is societal - all the jobs being given over to it is a problem that’s only compounded by the larger issue of people fundementally not understanding the sharp limitations of AI, and how it cannot actually be used to replace most jobs.
if ai is not capable of doing the job people will be hired who can do the job! feel free to read up on supply and demand
You think we live in a completely rational society that operates off market fundamentals like “supply and demand”? That is like planning a road trip assuming you’ll drive on a frictionless flat plane in a vacuum.
If supply and demand were truly adhered to, Boeing airplanes would be out of business after their doors falling off mid flight became widely knwon. Tesla would be out of business since their cars break when going into a carwash. Several banks would be out of business after gambling on housing speculation.
The idea that we live in a self regulating society that operates off The Invisible Hand is pure fantasy. Capitalism picks winners and losers all the time while making excuses swallowed by rubes like you.
If we lived in a society that made rational decisions you would be 100% right. Also, everything wouldn’t be all “this is fine” right now, most of the world’s problems would be getting solved and I wouldn’t be screaming and screaming and screaming into the void.
It’s almost as if Lemmy isn’t a homogenous entity with a single viewpoint… Wow! Who would’ve thought?
yeah it’s crazy, sometimes I even see people arguing for both points at the same time
Anyone who says the first is lying to you. LLMs are actually incredibly useful tool in the tasks they were initially designed for like machine translation, natural sounding text-to-speech and accurate speech-to-text.
In trying to generate hype (or more rather revenue), the companies responsible for these models have been throwing LLMs into all sorts of functions they just weren’t designed for - often to haphazard results.
It’s like asking a really well-trained parrot to fact-check for you, code for you, write stories to you. It knows what these things look like, so can make really convincing copies and mash-ups that look right on first read - but it can’t iterate and make new things because it doesn’t actually know what training data it has is fact/fiction, it doesn’t know what code actually does, and it has no idea what a cohesive story is.
The problem is that executives and shareholders are only aware of what’s being hyped up about LLMs, and not of the technical limitations underneath that make them rather unreliable compared to specialised neural networks or just plain trained professionals.
So it is simultaneously robbing people of their jobs because of hype, while doing an absolutely terrible job of it because it is fundamentally limited in what it can replace.
You say LLMs can’t make new things? Define new please, as this is so easy to disprove I can only assume you mean something extremely specific.
It can’t iterate? Have you never coded with am LLM?
New being unfamiliar. LLMs can’t just abstractly create things they don’t have training data for the same way a human can. They’re parrots that rely on training data to “create” anything, and that’s why I said they’re good at creating copies and mash-ups.
A good example is DALI being famously unable to depict an empty glass of wine because its training data didn’t have one. OpenAI had to feed it training data of empty wine glasses to undo that.
That need for base data to make literally anything is the whole reason why AI companies have been scraping the ever living shit out of the internet, to give as much training data to mash-up as is possible. The more data it has, the more convincingly unique its output can be.
Iterate was a poor word to use, but you’ll have to chalk that up to me being a fallible human. What I mean is that it can’t extrapolate from training data to make something unique. Everything it makes you will always be cobbled together from the data it has, because LLMs only know what things look like, not what they are as concepts.
Hell you want to see AI not understanding what good code actually is - look at MicroSlop’s Windows 11, where damn near every update has a crippling bug in it that could’ve been avoided
Ask some image generator to make an image of a undarbinian alien, which are super aggressive. I made that up and Google shows no result. Create an image of a beaver-axolotl-bird. I am sure there exists no such picture on the web. It will make it up. I could not make both of these things up or somehow imagine them. You could also ask an LLM to generate these examples in the first place. Is that not “something new”? Not unique? Define these words then. These systems being unable to do some specific detail does not mean they can’t do anything to begin with. No human can do everything, that is completely disconnected from everything we are discussing.
Also, Windows, pre LLM it was bug free and nobody complained?
It’s useful enough to fire huge chunks of the workforce and then make the leftovers carry the extra load, but corpos been doing that way before LLMs. Now they just have a plausible excuse