I don’t get the ai hate sentiment. In fact I want ai to be so good that it steals all our jobs. Every single “worker” on the planet. The only job I don’t think they can steal is that of middle management because I don’t think we have digitized data on how to suck your own dick. After everybody is jobless, then we would be free. We won’t need the rich. They can be made into a fine broth.
Sarcasm aside, I really believe we should automate all menial jobs, crunch more data and make this world a better place, not steal creative content made by humans and make second rate copies.
The problem with AI isn’t the tech itself. It’s what capitalism is doing with it. Alongside what you say, using AI to achieve fully automated luxury gay space communism would be wonderful.
Had me in the first half, not gonna lie
The problem is that it will be the rich that are the owners of the AI that stole your job so suddenly we peasants are no longer needed. We won’t be free, we will be broth.
Well you see 100 people won’t be able to make soup of trillions. But you know what we a trillion people can do? Run the guillotine for a 100 times
Well you see 100 people won’t be able to make soup of trillions.
You should check out the climate catastrophe sometime.
Then you have a choice.
Option 1. Halt scientific and technological progress and be robbed anyway because if capitalists do not get more money out of tech they are getting it out of making you work more hours for less money.
Option 2. End capitalism.
I don’t get the ai hate sentiment.
I don’t get what’s not to get. AI is a heap of bullshit that’s piled on top of a decade of cryptobros.
it’s not even impressive enough to make a positive world impact in the 2-3 years it’s been publicly available.
shit is going to crash and burn like web3.
I’ve seen people put full on contracts that are behind NDAs through a public content trained AI.
I’ve seen developers use cuck-pilot for a year and “never” code again… until the PR is sent back over and over and over again and they have to rewrite it.
I’ve seen the AI news about new chemicals, new science, new _fill-in-the-blank and it all be PR bullshit.
so yeah, I don’t believe AI is our savior. can it make some convincing porn? sure. can it do my taxes? probably not.
it’s not even impressive enough to make a positive world impact in the 2-3 years it’s been publicly available.
It literally just won people two Nobel prizes
Hooray for them. \s
How does that help the rest of us?
When I hear “AI”, I think of that thing that proofreads my emails and writes boilerplate code. Just a useful tool among a long list of others. Why would I spend emotional effort hating it? I think people who “hate” AI are just as annoying as the people pushing it as the solution to all our problems.
I don’t think anybody hates spell checkers if that’s what you consider “AI”.
It’s more about the grifters pushing this phony “intelligence” as the savior/destroyer of humanity.
when I get an email written by AI, it means the person who sent it doesn’t deem me worth their time to respond to me themselves.
I get a lot of email that I have to read for work. It used to be about 30 a day that I had to respond to. now that people are using AI, it’s at or over 100 a day.
I provide technical consulting and give accurate feedback based on my knowledge and experience on the product I have built over the last decade and a half.
if nobody is reading my email why does it matter if I’m accurate? if generative AI is training on my knowledge and experience where does that leave me in 5 years?
business is built on trust, AI circumvents that trust by replacing the nuances between partners that grow that trust.
You are ignoring ALL of the of the positive applications of AI from several decades of development, and only focusing on the negative aspects of generative AI.
Here is a non-exhaustive list of some applications:
- In healthcare as a tool for earlier detection and prevention of certain diseases
- For anomaly detection in intrusion detection system, protecting web servers
- Disaster relief for identifying the affected areas and aiding in planning the rescue effort
- Fall detection in e.g. phones and smartwatches that can alert medical services, especially useful for the elderly.
- Various forecasting applications that can help plan e.g. production to reduce waste. Etc…
There have even been a lot of good applications of generative AI, e.g. in production, especially for construction, where a generative AI can the functionally same product but with less material, while still maintaining the strength. This reduces cost of manufacturing, and also the environmental impact due to the reduced material usage.
Does AI have its problems? Sure. Is generative AI being misused and abused? Definitely. But just because some applications are useless it doesn’t mean that the whole field is.
A hammer can be used to murder someone, that does not mean that all hammers are murder weapons.
Imaginary and unproven cases without any apparent “intelligence”.
Seriously… Fall detection? It’s like 3 lines of code… Disaster relief? Show me any actual evidence of “AI” being used…
give me at least two peer reviewed articles that AI has had a measurably positive impact on society over the last 24 months.
shouldn’t be too hard for AI to come up with that, right?
if you can do that then I’ll admit that AI has potential to become more than a crypto scam.
He’s already given you 5 examples of positive impact. You’re just moving the goalposts now.
I’m happy to bash morons who abuse generative AIs in bad applications and I can acknowledge that LLM-fuelled misinformation is a problem, but don’t lump “all AI” together and then deny the very obvious positive impact other applications have had (e.g. in healthcare).
He’s already given you 5
examplesanecdotes of positive impact.Who’s upvoting this? Is Lemmy really this scientifically illiterate?
those aren’t examples they’re hearsay. “oh everybody knows this to be true”
You are ignoring ALL of the of the positive applications of AI from several decades of development, and only focusing on the negative aspects of generative AI.
generative AI is the only “AI”. everything that came before that was a thought experiment based on the human perception of a neural network. it’d be like calling a first draft a finished book.
if you consider the Turing Test AI then it blurs the line between a neural net and nested if/else logic.
Here is a non-exhaustive list of some applications:
- In healthcare as a tool for earlier detection and prevention of certain diseases
great, give an example of this being used to save lives from a peer reviewed source that won’t be biased by product development or hospital marketing.
- For anomaly detection in intrusion detection system, protecting web servers
let’s be real here, this is still a golden turd and is more ML than AI. I know because it’s my job to know.
- Disaster relief for identifying the affected areas and aiding in planning the rescue effort
hearsay, give a creditable source of when this was used to save lives. I doubt that AI could ever be used in this way because it’s basic disaster triage, which would open ANY company up to litigation should their algorithm kill someone.
- Fall detection in e.g. phones and smartwatches that can alert medical services, especially useful for the elderly.
this dumb. AI isn’t even used in this and you know it. algorithms are not AI. falls are detected when a sudden gyroscopic speed/ direction is identified based on a set number of variables. everyone falls the same when your phone is in your pocket. dropping your phone will show differently due to a change in mass and spin. again, algorithmic not AI.
- Various forecasting applications that can help plan e.g. production to reduce waste. Etc…
forecasting is an algorithm not AI. ML would determine the percentage of an algorithm is accurate based on what it knows. algorithms and ML is not AI.
There have even been a lot of good applications of generative AI, e.g. in production, especially for construction, where a generative AI can the functionally same product but with less material, while still maintaining the strength. This reduces cost of manufacturing, and also the environmental impact due to the reduced material usage.
this reads just like the marketing bullshit companies promote to show how “altruistic” they are.
Does AI have its problems? Sure. Is generative AI being misused and abused? Definitely. But just because some applications are useless it doesn’t mean that the whole field is.
I won’t deny there is potential there, but we’re a loooong way from meaningful impact.
A hammer can be used to murder someone, that does not mean that all hammers are murder weapons.
just because a hammer is a hammer doesn’t mean it can’t be used to commit murder. dumbest argument ever, right up there with “only way to stop a bad guy with a gun is a good guy with a gun.”
generative AI is the only “AI”. everything that came before that was a thought experiment based on the human perception of a neural network. it’d be like calling a first draft a finished book.
You clearly don’t know much about the field. Generative AI is the new thing that people are going crazy over, and yes it is pretty cool. But it’s built on research into other types of AI-- classifiers being a big one-- that still exist in their own distinct form and are not simply a draft of ChatGPT. In fact, I believe classification is one of the most immediately useful tasks that you can train an AI for. You were given several examples of this in an earlier comment.
Fundamentally, AI is a way to process fuzzy data. It’s an alternative to traditional algorithms, where you need a hard answer with a fairly high confidence but have no concrete rules for determining the answer. It analyzes patterns and predicts what the answer will be. For patterns that have fuzzy inputs but answers that are relatively unambiguous, this allows us to tackle an entire class of computational problems which were previously impossible. To summarize, and at risk of sounding buzzwordy, it lets computers think more like humans. And no, for the record, it has nothing to do with crypto.
Nobody here will give you peer-reviewed articles because it’s clear that your position is overconfident for your subject knowledge, so the likelihood a valid response will change your mind is very small, so it’s not worth the effort. That includes me, sorry. I can explain in more detail how non-generative AI works if you’d like to know more.
not once did I mention ChatGPT or LLMs. why do aibros always use them as an argument? I think it’s because you all know how shit they are and call it out so you can disarm anyone trying to use it as proof of how shit AI is.
everything you mentioned is ML and algorithm interpretation, not AI. fuzzy data is processed by ML. fuzzy inputs, ML. AI stores data similarly to a neural network, but that does not mean it “thinks like a human”.
if nobody can provide peer reviewed articles, that means they don’t exist, which means all the “power” behind AI is just hot air. if they existed, just pop it into your little LLM and have it spit the articles out.
AI is a marketing joke like “the cloud” was 20 years ago.
Classification =/= intelligence.
My spell checker can classify incorrectly spelled words. Is that intelligence? The whole field if a phony grift.
AI is a way to
process fuzzy datasell fuzzy statistics.Nobody here will give you peer-reviewed articles
Nuf said.
LLMs fucking suck. But there are things that don’t suck. AI chess engines have entirety changed the game, AI protein predictors have made designer drugs and nanobots come within our grasp.
It’s just that tech bros want to grab quick cash from us peasants and that somehow equates to integrating chat gpt into everything. The most moronic of AI has become their poster child. It’s like if we asked people what a US president is like in character and everybody showed Trump to them as an example.
In what way is a chess engine meaningfully “intelligent”?
If I just hand wave all the good things and call them bullshit, AI is nothing more than bad things!
- Lemmy
Current “AI’s” (LLMs) are only useful for art and non-fact based text. The two things people particularly do not need computers to do for them.
Llms fucking suck. But that’s the worst kind of ai. It’s just an autocorrect on steroids. But you know what a good ai is? The one that give an amino acid sequence predicts it’s 3d structure. It’s mind boggling. We can design personal protein robots with that kind of knowledge.
hey bitch youre killed two people in your trolley problem. You suck bro. Why did you kill two people? You should be attached on the track bro, not gonna lie.
Frfr no cap
If I just hand wave all the bad things and call them amazing, AI is everything but the bad things!
cryptobrosAI evangelists
What do you think AI has to do with crypto, other than that they are both technologies which have entered the mainstream recently and been pushed hard? Like, what do they actually have in common?
the crypto scam ended when the AI scam started. AI conveniently uses the same/similar hardware that crypto used before the bubble burst.
that not enough? take a look at this google trends that shows when interest in crypto died AI took off.
so yeah, there’s a lot more that connects the two than what you’d like people to believe.
People think they’re bad /s ;)
If AI image generation is so bad why we have so many etsy and patreon artists complaining about it?
If no one would use it because it is so bad why would anyone care that it is trained on their products?
Do you know this joke about MAGA and the Schrodinger’s immigrant? They somehow believe that immigrants are both stealing people jobs and lazy and living on wellfare.
AntiAI bros are somehow similar. AI is at the same time stealing artists jobs and completely useless incapable of producing nothing that people would want.
The whole “all AI bad” is disconnected and primitivism.
John J. Hopfield work is SCIENCE with caps. A decade of investigations during the 80s when computational power couldn’t really do much with their models. And now it has been shown that those models work really good given proper computational power.
Also not all AI is generative AI that takes money out of fanfic drawers pockets or an useless hallucinating chatbot. Neural networks are commonly used in science as a very useful tool for many tasks. Also image recognition is nowadays practically a solved issue thanks to their research. Proteins folding. Dataset reduction. Fluent text to speech. Speech recognition… AI may be getting more track nowadays because the generative AIs (that also have their own merit, like or not) but there is much more to it.
As any technological advance there are shitty use cases and good use cases. You cannot condemn a whole tech just for the shitty uses of some greedy capitalists. Well… you can condemn it. But then I will classify you as a primitivist.
Scientific theory that resulted in practical applications useful to people is why the nobel prize was created to begin with. So it is a well given prize. More so than many others.
You sir or madam give me hope that there are still reasonable people on the internet. Well written.
Wait, are you an AI bot defending itself…?
Luckily genAI isn’t good enough to sound this real yet… I hope
Agreed. Which is why we should call it Machine Learning (or Data Science) and continue to torch OpenAI until it is no more.
Generative AI is really causing a negative association with AI in general to the point where a proper rebranding is probably in order.
Generative AI is part to AI. And it has its own merits. Very big merits. Like or not it is a milestone on the field. That it is mostly hated not because it doesn’t work but because it does.
If generative AI could not create images the way it does I assure you we wouldn’t have the legion of etsy and patreon painters complaining about it.
The nobel prize is not to generative AI, of course, it’s about the fathers of the fields and their complex neural networks that made most advanced since then possible.
Let’s start by not calling it AI anymore. Cause it isn’t.
It has been called like that since the 50s were it could do literally nothing because computer power wasn’t enough. It is the field that leads to an artificially created intelligence. We never had any issues with the name. No need for a rebrand.
‘AI hate’ is usually connected with insane claims like ‘we have “reasoning” model’.
That shit needs to die in fire.
I’m still waiting for the full-planet weather model. That will be something.
To be fair, the protein folding thing is legitimately impressive and an actual good use for the technology that isnt just harvesting people’s creativity for profit.
The way to tell so often seems to be if someone has called it AI or Machine Learning.
AI? “I put this through chatgpt” (or “The media department has us by the balls”)
ML? “I crunched a huge amount of data in a huge amount of ways, and found something interesting”
Actually I endorse the fact that we are less shy of calling “AI” algorithms that do exhibit emergent intelligence and broad knowledge. AI uses to be a legitimate name for the field that encompasses ML and we do understood a lot of interesting things about intelligence thanks to LLMs nowadays, like the fact that training on next-word-prediction is enough to create pretty complex world models, that transformer architectures are capable of abstraction or that morality arise naturally when you try to acquire all the pre-requisites to have a normal discussion with a human.
