It has become impossible to tell managers mesmerised by artificial intelligence that the tools are not, in fact, helpful. So employees just play along with the fiction to keep their jobs, writes our tech columnist
That’s awesome! Imagine if we took all the resources spent on pushing AI for stuff it isn’t good at and invested them in training models for detecting, classifying and correlating medical indicators and using that to anonymously connect people with a network of physicians and psychiatrists for further evaluation and preliminary diagnostics to help with getting actual treatment.
We could bring a more reliable version of that help your friends happened to get to more people, with less of a random chance that the model will reinforce the issues or misdiagnose people with dangerous consequences. We could improve the world.
Instead, they burn books, fire people and abuse eminent domain to displace people so they can run power lines to feed data centers fucking up the water supply for residents that got no say in whether they want oversized heaters in their backyard.
I’m glad your two friends got some use out of this. Is that really worth the price?
I 100% agree. I have no idea why my comment gets downvoted so much. I just wanted to point out that AI and even LLMs absolutely do have valuable use cases. I use them a lot and I see people around me making their lives better using them. Are they overhyped? Probably. Are AI companies using public information that should belong to everyone in an unfair way to become rich and powerful? Absofuckinglutely. Is that how it should be? Definitely not. Is AI a technology with massive potential to change the world for the better? Also yes. Does AI have the potential to completely wreck our society and economy if we do the whole thing wrong? Probably also yes. I hope we can find a way to turn this into something positive.
I have no idea why my comment gets downvoted so much.
Because your comment seemed to add an anecdotal “it also helped two people” to a long list of evils as if it were equivalent. “Sure, people are suffering because of this, but two friends of mine are better off for it” – is that really worth it?
I use them a lot and I see people around me making their lives better using them.
Aside from the nebulous question of just how it’s supposedly making lives better, and whether that actually is an improvement, the question repeats: Is a fee people’s lives getting better really equivalent to the people losing their homes, water supply or job over it? It’s not that we’re unaware that it might have benefits, it’s that those benefits are massively dwarfed by the evils.
Are they overhyped? Probably.
LLMs in particular, and dangerously so. People treat them as virtual humans, use terms such as singularity and trust them with cognitive work a linguistic model plainly isn’t capable of actually doing. They deliver a convincing imitation, but there have been too many instances of that imitation not holding up to any reasonable standard. For a more benign example, Ford had to hire back its fired engineers because it turned out that GenAI can’t actually do their job. Less benign are things like giving harmful “health advice” or reinforcing their users’ delusions and psychoses to the point where they commit violence against themselves or others.
They’re still being hailed as the future, despite evidence backing up what theorists have been warning for a while: A text generator cannot generate meaning and should not be used for any purpose where the content actually matters. That your friends’ word salad happened to resemble useful advice is nice, but it wasn’t actually advice, just the product of a high-tech advice imitator that got lucky.
Is AI a technology with massive potential to change the world for the better? Also yes.
This is where we need to specify just what we mean by AI.
Language models are useful for linguistic correlation tasks, but the actual utility of that is hard to gauge, because it heavily depends on the mode of the output and on the recipient. Specialised models may make decent assistants for certain types of specialists.
They certainly aren’t capable of the type of “nobody has to work any more” utopia that conmen like Musk and Altmann are selling to the gullible. They’re fundamentally unreliable and their consumption of resources dwarfs their sloppy utility.
So while some form of AI might hold a key to a radically better world, LLMs and generative AI aren’t it.
Does AI have the potential to completely wreck our society and economy if we do the whole thing wrong? Probably also yes.
Probably? Have you taken a look around or read the whole list you replied to? The hype already is destroying lives, and there’s a slew of experts calling out the fraudulent scheme they’re pulling on the stock market.
The one point I’ll concede to the scammers is that it has fundamentally altered our world.
Just not for the better.
I hope we can find a way to turn this into something positive.
It starts with being honest and clear about what “this” actually is, understanding what it isn’t and not making excuses for a deeply destructive technological complex just because the mathematical parrot emits some useful responses now and then.
First of all, thank you for your extensive response. I think discussions like this are important. Here’s my 2 cents, sorry if I’m not that eloquent - I’m not a native English speaker so some of this is a bit hard to put into words for me.
Because your comment seemed to add an anecdotal “it also helped two people” to a long list of evils as if it were equivalent.
Well, surely my two friends can’t be the only people AI has helped, that would be highly unlikely. So I do think it is a valid point along the other ones - AI does create value. Otherwise there would be no hype. I just think it’s dishonest to claim that AI is completely useless. If we want to turn this into something positive, we have to be honest about all the aspects.
Aside from the nebulous question of just how it’s supposedly making lives better, and whether that actually is an improvement, the question repeats: Is a fee people’s lives getting better really equivalent to the people losing their homes, water supply or job over it? It’s not that we’re unaware that it might have benefits, it’s that those benefits are massively dwarfed by the evils.
Of course it’s not. We’re totally on the same page here. I just think it’s not a matter of the technology itself, it’s how those companies (are allowed to) act. That doesn’t seem like an AI problem to me, it’s a capitalism problem. We might have different perspectives on this btw because I live in the EU. People don’t lose their home or water supply here because of AI companies.
People treat them as virtual humans, use terms such as singularity and trust them with cognitive work a linguistic model plainly isn’t capable of actually doing.
Yes. And I do think AI companies are at fault here for marketing their products dishonestly to people who don’t understand how the technology works. They exploit stupid people, and mostly stupid people in positions with too much power.
They’re still being hailed as the future, despite evidence backing up what theorists have been warning for a while: A text generator cannot generate meaning and should not be used for any purpose where the content actually matters. That your friends’ word salad happened to resemble useful advice is nice, but it wasn’t actually advice, just the product of a high-tech advice imitator that got lucky.
I think we might fundamentally disagree on this. Advice from a human is nothing but a multivariate combination of things that person has learned in the past. It’s way more complex - brains are orders of magnitude more complex than an artificial neural network - but I don’t see a fundamentally and qualitative difference here unless you believe in something like a soul that somehow magically gives more value to a human advice. If you understand that an LLM is a mathematical tool and not a human, you can use it in very efficient and helpful ways. Some questions actually better answered by something that has gathered a wide range of information from thousands or even millions of sources. Some questions that require fast answers are also better answered by AI (just yesterday I asked ChatGPT for a python script for a certain task - it took about 20 seconds and provided a perfectly working ~500 lines python script that I could use; no human could ever do that). Lots of other questions - questions that require emotional connection, personal experience, specialized knowledge - should be left to humans, of course. The amount of shitty and wrong advice I’ve gotten from people, even doctors and other experts, is immense btw. The crucial thing is that you need to learn how to test and evaluate advice that you get - from people AND from LLMs. Many people would profit from learning that skill - maybe using LLMs might even teach them that, even if it will probably usually be the hard way.
Language models are useful for linguistic correlation tasks, but the actual utility of that is hard to gauge, because it heavily depends on the mode of the output and on the recipient.
Yes, that’s exactly my point. We need to educate the recipients. That is actually one of the most important things imo. AI and LLMs aren’t going to go away, they’re here to stay. Just look at how it already penetrated all kinds of scientific disciplines. We urgently need to regulate what companies can do with it and we need to educate people on how they work and how to use them, and especially how NOT to use them. And by the way, I wish we had never made the jump from calling it deep learning to calling it AI - I think that might have prevented a lot of problems und misunderstandings.
Look, I think ultimately our views aren’t even that different. That’s why discourse is important. I just don’t think screaming “AI is bad” is going to get us anywhere (and that’s essentially what the original comment that I replied to was doing imo). We need to be specific about what the problem is: the problem is not AI, the problem is that some people are getting super rich on the expense of almost everyone else. THAT is what we need to stop. You can’t fight technological and scientific progress, what you need to fight is malicious use of technology and the exploitation of the masses for the profit of a few. I’d say we might actually in an “industrial revolution” kind of situation. Back then, workers rights and communism became a thing. We might need something as fundamental as that to deal with today’s problems. We’ll need all the social sciences now that we’ve cut funding for over the last decades because MINT was just more important to us (I say that as a MINT scientist btw).
I find that writing out and defending my position helps me refine it. Sometimes, my perspective on things shifts just by trying to explain it. Discussions are the whetstone by which arguments are sharpened.
I’m not a native English speaker so some of this is a bit hard to put into words for me.
That makes two of us :D
Sometimes, these discussions help expand my Engish skills too.
So I do think it is a valid point along the other ones - AI does create value.
Yesn’t. It’s a text generator that predicts a likely series of words, based on the language patterns it learned from its training material. It doesn’t so much create value as aggregate the value of other people’s work into a weighted reproduction.
However, those weights are biased by quantity, not quality. It has no way to assess which responses are good, only which ones are likely. The average value it (re-)produces is an average of the value of the training material. Models trained on a wide variety of content (such as ChatGPT) will inevitably include a lot of material of little value to specialised topics.
Hence my argument: It can get lucky and predict a high-value response, but the problem is that it isn’t guaranteed to do so. A layperson doesn’t have the expertise to tell the difference. That not only dilutes the value, it invites false confidence in the results. In cases where accuracy is critical, this may actually produce negative value if people consult an unreliable model rather than a specialist.
And that’s the critical difference to human advice: human experience is shaped by a number of factors beyond just language. We create semantic connections to abstract concepts and attach specific meaning to certain words and patterns.
LLMs don’t have that abstraction. They can predict sequences of text that sound plausible and might coincide with something describing reality, but they can’t tell whether it’s accurate.
Advice has to be grounded in reality to be useful, and that’s what LLMs are missing.
They’re perfectly suitable for tasks where correlation is enough, but if the task requires actual understanding, LLMs aren’t equipped for it.
Otherwise there would be no hype.
Hype doesn’t always need a solid reason. In this case, a lot of hype stems from the hope that we may one day have the type of Artificial General Intelligence that SciFi has long dreamed of, the illusion that they may be able to do our work for us and the promise to company managers that they may be able to save money by replacing human employees with AI.
The various executives of the big AI vendors are obviously capitalising on that, stoking the hype with grand and utopic visions because they want to sell their product.
It’s not that it’s useless. It’s that the utility is far less than the lofty promises made by people milking the hype for all it’s worth. And that little utility comes at a terrible social, economic and ecologic price.
We might have different perspectives on this btw because I live in the EU. People don’t lose their home or water supply here because of AI companies.
I’m in the EU too, I just read a lot of US news. I don’t think we should dismiss the consequences our use of US infrastructure has. Worse yet, I don’t think we should dismiss the political dependencies that creates.
We need to be specific about what the problem is: the problem is not AI, the problem is that some people are getting super rich on the expense of almost everyone else.
I think that’s only a part of the problem. The second part is the lack of understanding you mentioned, and the resulting mis- and overuse. I’ve seen people trying to argue with experts because “ChatGPT said” because they genuinely do not understand that ChatGPT is a parrot, not an expert.
And the third part, again, is the disastrous effect on our world.
You can’t fight technological and scientific progress […]
I’d say we might actually in an “industrial revolution” kind of situation.
I’m not fighting it. I’m trying to pull it out of the pit that the current obsession with imitation has dug. When college students, the next generation or scientists, trades their scientific understanding for the convenience of high-tech parrots, that is the opposite of progress. It’s stagnation, fostered by those few people that are happily trading our future for their present profits.
That’s the mirage of this “industrial revolution” analogy: They’ve built something in the shape of a steam engine, promised the functionality of Spinning Jenny, sold fabric factory owners on the idea who fired their workers to buy these machines. The people they fired were promised that they’d have to work less, but weren’t told that they would be paid less too.
Now these machines turn out to not actually provide the smooth, spinning motion required for spinning thread.
Factories are facing expensive production outages, compounding the expenses of getting these machines installed and can’t afford to hire all the workers back.
The machine shops built to produce these Sloppy Jennies or their parts will eventually find it harder to sell their iventory. Once they go under, their workers will also become economic casualties.
We’re at the point where we need to reinforce worker protections. We need to push for a system where our livelihood isn’t contingent on the amount of work we do. Only then can that utopia even manifest. And to actually make progress:
We’ll need all the social sciences now that we’ve cut funding for over the last decades
Yes.
We’ll need to understand the social dynamics of such technology to better prevent the disastrous side-effects. We’ll need to compare historical developments with present circumstances and plans to account for future developments. We’ll need to study the psychological effects of interacting with human-like machines to be able to correct course where needed.
Whatever control mechanism is supposed to prevent machines from producing harmful output will need heuristics based on those disciplines to assess the dangers of that output.
I’d include philosophy too. We don’t need neural networks that are a lesser version of human ones, nor just scaled-up variants that also replicate all the human inefficiencies, errors and biases. Those are the pure MINT approach to the problem, and it’s clearly coming up short.
We need to find a rigorous mechanism for representing semantic knowledge in digital systems that don’t just imitate, but surpass human cognition. We need a workable philosophical grounding for logical and mathematical approaches to modelling knowledge of concepts rather than just language.
We need to get over the error that LLMs are “thinking” or “just like humans”. They’re not, but as long as we’re stuck on the idea, we can’t fix it.
Also, we really, really should spend less time thinking about whether we could and more about whether we should.
It’s a text generator that predicts a likely series of words, based on the language patterns it learned from its training material.
Yes and no. While I do absolutely agree about the problem of reliability and false confidence, I do not agree on the general understanding of LLMs. You make it sound like it’s merely a predictor of likely words, like your phone keyboard may suggest words you usually use in sequence. But it is really not that simple. I disagree with the - especially here on Lemmy - very widespread “parrot” analogy in the sense that imho people have a very oversimplified idea of what large language models actually are. They don’t just count statistics of word sequences and then spit out the most likely combination. The amount of text they learn from is so big and their structure is complex enough that they can actually learn underlying patterns about WHY words are usually arranged in a certain pattern. That way, they can absolutely learn concepts and “skills” like logical reasoning, to a certain extent. The exact patterns they learned aren’t even fully understood, but obviously it does work. Even early GPT models learned to do arithmetic - there are publications that show that GPT was able to calculate arithmetic problems that were not in the training data, although it did make mistakes. Funnily, the mistakes seemed similar to mistakes humans usually make, like forgetting carryovers in additions or subtractions. Still, it had apparently learned the concept of arithmetics, just by seeing examples (and maybe explanations - we don’t really know). Modern LLMs absolutely capable of a certain level of logic. You can give ChatGPT a task it’s never seen before and chances are it can solve it. Even if it can’t - that doesn’t make its reasoning qualitatively different from how a human brain works. My argument is that humans learn how to think “logically” by seeing examples too - and they fail at logic all. the. damn. time. Go to a city center and ask people logic puzzles - see how many will be able to solve them correctly (and maybe compare the result to an LLM). I wouldn’t even be surprised if by now, even asking medical questions to doctors would, on average, yield worse results than a state-of-the-art LLM. I did a PhD in computer science a few years ago and I can tell you, I would probably rather trust the latest ChatGPT model on most questions regarding my field than myself. It has just become that incredibly good. I’m absolutely not saying it’s perfect, it still makes stupid mistakes and you have to be aware of that, but so do people. I have not seen a single convincing argument why the concept of logic or reasoning that humans have is fundamentally different from that of LLMs. Most people suck at logic. And most men in my life regularly spit out false knowledge with a confidence only a mediocre white man and an LLM can have. ;P
In all seriousness - LLMs lack sensorimotor interaction with the world, and even if we give them robot bodies, they will never know what it’s like to be human. In that sense, they will not replace us, and they will never be human. I would even agree that they will probably never be conscious (although of course we can’t be sure, especially since we haven’t understood consciousness yet in the first place). Their biases and their “way of thinking” will also most probably always be different from humans. But I do not agree that they cannot be “intelligent” in a logic/reasoning sense and that they are merely “statistical parrots”.
The various executives of the big AI vendors are obviously capitalising on that, stoking the hype with grand and utopic visions because they want to sell their product.
It’s not that it’s useless. It’s that the utility is far less than the lofty promises made by people milking the hype for all it’s worth. And that little utility comes at a terrible social, economic and ecologic price.
Agreed. I’m fascinated by how far AI has become, but it just isn’t where marketers claim it is, and we can’t be sure it will get there anytime soon.
I don’t think we should dismiss the consequences our use of US infrastructure has. Worse yet, I don’t think we should dismiss the political dependencies that creates.
True. Political dependencies are a serious problem and I’m pretty sure they play a big role in why the US actually lets AI companies get away with all the shit that they do.
I’ve seen people trying to argue with experts because “ChatGPT said” because they genuinely do not understand that ChatGPT is a parrot, not an expert.
Yeah. The point is: ChatGPT will not make you an expert. ChatGPT may act as an expert and even provide accurate information, but citing its answers will not magically make you an expert yourself. That is something that needs to be hammered into people’s heads.
I’m not fighting it. I’m trying to pull it out of the pit that the current obsession with imitation has dug. When college students, the next generation or scientists, trades their scientific understanding for the convenience of high-tech parrots, that is the opposite of progress. It’s stagnation, fostered by those few people that are happily trading our future for their present profits.
Fair enough. We need to find ways to use AI as a useful tool, not a tool to make people lazy and stupid. Tbh, I think it will happen. It happened with Google as well. People used to use Google wrong all the time when it was still new. They clicked the first search result and believed absolutely everything it said. I’m kinda old, I remember that time. :P
I’m pretty sure it will be similar with LLMs. By using them, we will learn their limitations and shortcomings, and many of us will learn the hard way. The marketing strategies of AI companies are NOT helpful with that.
We’ll need to understand the social dynamics of such technology to better prevent the disastrous side-effects. We’ll need to compare historical developments with present circumstances and plans to account for future developments. We’ll need to study the psychological effects of interacting with human-like machines to be able to correct course where needed.
I absolutely 100% couldn’t agree more. AI has already had a lot and probably will have even more impact on us, on other technologies like medicine, biotechnology, probably chemistry, material sciences, and loads of other key technologies. We will have a LOT of trouble keeping up with that acceleration of technological progress as a society. In a world where even the existence of the internet doesn’t seem to have been digested fully, AI has the potential to completely wreck everything. And certain people will do all they can to exploit that to gain power and money. And we will have to be faster than them.
In that sense, I agree that
Also, we really, really should spend less time thinking about whether we could and more about whether we should.
is probably right. The EU’s AI Act is a good first step, but the world is in this together, and with the current geopolitical situation I honestly don’t see us working together here for the good of humankind. So maybe trying to somehow decelerate technological progress really can be a reasonable way to take pressure out of that system. I’m not sure it’s possible though.
They are real people these friends of mine, but you don’t know them, because they are from a different school. And you won’t see them this summer at all because… they are both actually models in Canada during the summer.
But totally cured and now they get boners also with THIS ONE TRICK that doctors HATE it!!!
I don’t know what your problem is. My friends are indeed real people. They are not cured, I said they have diagnoses.
One of them has had diffuse but severe symptoms for at least the last 15 years. Bloating, stomach pain, vomiting, circulation problems, etc. She had nights of vomiting and diarrhea where she said she thought was dying, that’s how miseable she felt. She went to many doctors, they ran many checks, and she only ever got the same result: there is nothing to be found, it must be psychosomatic, probably stress. This result, by the way, is a very common one when you’re a woman and you’re seeking medical attention, even for serious problems. Last year, she discussed all her symptoms and observations (like foods and acitivities that seemed to make the symptoms worse) with ChatGPT and it suggested it might be MCAS. She got medication that is supposed to help with MCAS and she is feeling so much better now. She is not cured, but she can have a normal life again. I can tell she has about twice as much energy as she used to have. That is a huge life quality improvment.
The other friend has had bad hearing on one ear for almost all his life. Doctors never found a cause, all they said was “well we could cut it open and take a look if you want” which didn’t sound so great so he never had it checked further. After discussion with some LLM chat bot, he went to another doctor and insisted on getting a CT scan. Turns out he has a (benign) tumor in his ear that’s been growing ever since he was a child. It will be surgically removed soon because it won’t stop growing on its own and might even grow into the brain one day. If he’s lucky, his ear might even be much better afterwards (unless too much of the structure is already destroyed by the tumor growing).
Look, I know it sounds kinda stupid, but I promise you, these are real stories. I know that if you do it wrong, discussing health issues with an LLM can absolutely backfire and be very dangerous. But if you can trust your own brain and don’t switch it off just because you’re using an AI, it can actually be really helpful.
The medical field is one of the places where AI has made real, tangible improvements.
I can’t vouch for that other person’s anecdote, but it seems entirely plausible that an LLM chatbot would be able to better diagnose an issue than a search engine, or even a human doctor, especially if the underlying issue was something like an autoimmune disease, which are notoriously difficult to diagnose.
One of the big flaws in the medical profession (and, really, most professions) is that once you are out of school, nothing forces you to keep learning as the field advances. This potentially, and counterintuitively, results in gaps in knowledge that increase the longer a doctor has been practicing. LLMs, with access to the newer medical information and with the ability to receive and output natural language, do make good tools for diagnosis.
AI, as it turns out, is also way better at analyzing MRI scans and x-rays than humans.
An old-fashioned Google search can point you to more information, if you’re curious about how AI has advanced the medical field.
Medical AI is usually more along the lines of ‘we’ve created a proprietary model for computer aided diagnostics specific to x disease being scanned with y modality and we’ve taken this through the regulatory process in z jurisdiction’ than ‘put your symptoms into an LLM lol’.
@joe if it’s a tool for doctors to use then it will simply increase the costs of providing care even if there is an increase in the quality of that care. That means adoption of that particular type of “AI” will be limited. If it’s possible to replace doctors with a chatbot, that will decrease costs even if the quality of care also decreases.
Which one do you think is more likely to be widely used in a profit-driven, anti-human system?
Don’t conflate the fucked up medical system of the US with any other countries system. If the cost in Belgium would rise 40%, I would pay 7€ instead of 5€.
Super cool! Well we can base your personal healthcare on AI’s sole guidance and if you are misdiagnosed, injured or dead as a result of an “oopsie”, no human will be held legally liable - fun!
So no real stakes for anyone to get it right, as with human-led interventions (with careers on the line at every stage to keep people engaged and honest). But corporations will probably just naturally do the right thing.
But you’re brave, you offer yourself as tribute to the lying machine. Tight tight tight!!!
You seem very passionate about this topic, but you’re not really adding much to the discussion.
Don’t worry, its coming across loud and clear that AI could cure cancer and you’d still think it was better to have cancer than use AI. I get it. AI = bad, full stop. Message received.
“AI” isn’t a thing. Computer vision, machine learning, natural language processing and neural networks are. These can all be useful tools when regulated and maintained with active oversight to balance with society’s other core priorities. What’s at question is the current method and human cost for this frivolously hyped, deceptively marketed lying machine with a single tangible use to date, being the operating system for Facebook’s pervert glasses. You didn’t read, of missed the entire point of, this important article, shared from an important contemporary mind.
Name and cite SPECIFIC examples of anything you claim.
P.s. you don’t “cure cancer”… cancer is a broad heading for hundreds of unique types of disease, presenting in different, completely unique systems within the human body. Like AI, “a cure for cancer” is a broad generalization of complex underlying systems that ignorant people make frivolously - People who think they HAVE the entire knowledge of the world in their brains, when they actually only have a plastic rectangle in their pants pocket with privilege-gated access to a (mostly corporate) CURATED VERSION of the world’s historic knowledge. So if you’ve “cured cancer” friend, why aren’t you treating the 20-30k humans that will die from a form or cancer today worldwide?
Just adding my two cents to this because I have heard this before. The AI wasn’t programmed to do this. It was training to based off the racist shit on the internet that it takes from. Systemic racism just doing it’s thing.
To be clear, I didn’t mean to imply that AI was flawless or had no room for improvement, only that it has made real, tangible improvements. This is why it shouldn’t be used as a replacement for humans, but as a tool for humans.
Isn’t it great when you ask someone to cite their sources, and instead of doing so, they say “Google it”? They really sound smart when they do that, huh?
Funny how my experience is the American health care system is still 100% absolute shit that costs me 2k a month for the privilege of said shit. My wait times are the same, my “go fuck yourselves” are the same, my healthcare workers are still underpaid, and the systems for consumers are still shit.
“But the charts say AI is helping”
Once again it’s consumers get to wait for the piss to trickle down our backs. AI hasn’t done shit for the average Joe except make everything cost more while providing a worse service. Please, tell me how my healthcare experience has improved in the past 2 years. Go.
You are talking about a different thing than I am. The American healthcare system is garbage with or without AI, but AI is helping the medical field. Getting a more accurate analysis of an MRI scan is objectively a good thing, for example, even if the healthcare system that performed the scan is garbage.
They’re not using LLMs to analyse MRI scans. There are image processing algorithms for that, but they’re a whole other thing to what this entire thread is about.
Also, are you a fucking bot? I’ve read all your comments so far in this thread and uhh yeah. Please feel free to jog on now.
When people say AI they are talking about Gen AI chatbots. Pretending they aren’t in a thread discussing an article where the author is definitely talking about chatbots is being really pedantic.
How is “helping the medical field” not compatible with better healthcare quality? If the end user isn’t experiencing benefits, then how can you claim that benefits have been provided? Who is getting these “benefits” if it’s not the end user? If someone IS getting benefits, yet the end users still haven’t gotten a better experience… Then can you agree that AI is only helping intermediaries? Like… The corporations who provide the garbage experience?
But is that happening? Have we seen better diagnoses? Can you reference a study showing that we are actually catching more cancer?
Or are you just feeding into the bullshit of “AI IS CHANGING EVERYTHING” because that’s what they tell you?
I’m sick of people like you claiming benefits from a technology that is literally raping us all. Our checkbooks, our jobs, our environments, our freedoms, our communities. “But but someone told me it’s helping” fuck off prove it.
You’re sick of luddites? I’m sick of being lied to, and sick of saps like you spreading the lies.
AI is very very different from llms. And no, an LLm can’t diagnose shit. A camera trained to detect certain cancerous cells in imaging works fantastically though
…although it was originally created to identify pastries
Though I’m very happy for your friends, I will still vehemently say that AI is a net negative for humanity, it will end up killing us all
That’s awesome! Imagine if we took all the resources spent on pushing AI for stuff it isn’t good at and invested them in training models for detecting, classifying and correlating medical indicators and using that to anonymously connect people with a network of physicians and psychiatrists for further evaluation and preliminary diagnostics to help with getting actual treatment.
We could bring a more reliable version of that help your friends happened to get to more people, with less of a random chance that the model will reinforce the issues or misdiagnose people with dangerous consequences. We could improve the world.
Instead, they burn books, fire people and abuse eminent domain to displace people so they can run power lines to feed data centers fucking up the water supply for residents that got no say in whether they want oversized heaters in their backyard.
I’m glad your two friends got some use out of this. Is that really worth the price?
I 100% agree. I have no idea why my comment gets downvoted so much. I just wanted to point out that AI and even LLMs absolutely do have valuable use cases. I use them a lot and I see people around me making their lives better using them. Are they overhyped? Probably. Are AI companies using public information that should belong to everyone in an unfair way to become rich and powerful? Absofuckinglutely. Is that how it should be? Definitely not. Is AI a technology with massive potential to change the world for the better? Also yes. Does AI have the potential to completely wreck our society and economy if we do the whole thing wrong? Probably also yes. I hope we can find a way to turn this into something positive.
Because your comment seemed to add an anecdotal “it also helped two people” to a long list of evils as if it were equivalent. “Sure, people are suffering because of this, but two friends of mine are better off for it” – is that really worth it?
Aside from the nebulous question of just how it’s supposedly making lives better, and whether that actually is an improvement, the question repeats: Is a fee people’s lives getting better really equivalent to the people losing their homes, water supply or job over it? It’s not that we’re unaware that it might have benefits, it’s that those benefits are massively dwarfed by the evils.
LLMs in particular, and dangerously so. People treat them as virtual humans, use terms such as singularity and trust them with cognitive work a linguistic model plainly isn’t capable of actually doing. They deliver a convincing imitation, but there have been too many instances of that imitation not holding up to any reasonable standard. For a more benign example, Ford had to hire back its fired engineers because it turned out that GenAI can’t actually do their job. Less benign are things like giving harmful “health advice” or reinforcing their users’ delusions and psychoses to the point where they commit violence against themselves or others.
They’re still being hailed as the future, despite evidence backing up what theorists have been warning for a while: A text generator cannot generate meaning and should not be used for any purpose where the content actually matters. That your friends’ word salad happened to resemble useful advice is nice, but it wasn’t actually advice, just the product of a high-tech advice imitator that got lucky.
This is where we need to specify just what we mean by AI.
Language models are useful for linguistic correlation tasks, but the actual utility of that is hard to gauge, because it heavily depends on the mode of the output and on the recipient. Specialised models may make decent assistants for certain types of specialists.
They certainly aren’t capable of the type of “nobody has to work any more” utopia that conmen like Musk and Altmann are selling to the gullible. They’re fundamentally unreliable and their consumption of resources dwarfs their sloppy utility.
So while some form of AI might hold a key to a radically better world, LLMs and generative AI aren’t it.
Probably? Have you taken a look around or read the whole list you replied to? The hype already is destroying lives, and there’s a slew of experts calling out the fraudulent scheme they’re pulling on the stock market.
The one point I’ll concede to the scammers is that it has fundamentally altered our world.
Just not for the better.
It starts with being honest and clear about what “this” actually is, understanding what it isn’t and not making excuses for a deeply destructive technological complex just because the mathematical parrot emits some useful responses now and then.
First of all, thank you for your extensive response. I think discussions like this are important. Here’s my 2 cents, sorry if I’m not that eloquent - I’m not a native English speaker so some of this is a bit hard to put into words for me.
Well, surely my two friends can’t be the only people AI has helped, that would be highly unlikely. So I do think it is a valid point along the other ones - AI does create value. Otherwise there would be no hype. I just think it’s dishonest to claim that AI is completely useless. If we want to turn this into something positive, we have to be honest about all the aspects.
Of course it’s not. We’re totally on the same page here. I just think it’s not a matter of the technology itself, it’s how those companies (are allowed to) act. That doesn’t seem like an AI problem to me, it’s a capitalism problem. We might have different perspectives on this btw because I live in the EU. People don’t lose their home or water supply here because of AI companies.
Yes. And I do think AI companies are at fault here for marketing their products dishonestly to people who don’t understand how the technology works. They exploit stupid people, and mostly stupid people in positions with too much power.
I think we might fundamentally disagree on this. Advice from a human is nothing but a multivariate combination of things that person has learned in the past. It’s way more complex - brains are orders of magnitude more complex than an artificial neural network - but I don’t see a fundamentally and qualitative difference here unless you believe in something like a soul that somehow magically gives more value to a human advice. If you understand that an LLM is a mathematical tool and not a human, you can use it in very efficient and helpful ways. Some questions actually better answered by something that has gathered a wide range of information from thousands or even millions of sources. Some questions that require fast answers are also better answered by AI (just yesterday I asked ChatGPT for a python script for a certain task - it took about 20 seconds and provided a perfectly working ~500 lines python script that I could use; no human could ever do that). Lots of other questions - questions that require emotional connection, personal experience, specialized knowledge - should be left to humans, of course. The amount of shitty and wrong advice I’ve gotten from people, even doctors and other experts, is immense btw. The crucial thing is that you need to learn how to test and evaluate advice that you get - from people AND from LLMs. Many people would profit from learning that skill - maybe using LLMs might even teach them that, even if it will probably usually be the hard way.
Yes, that’s exactly my point. We need to educate the recipients. That is actually one of the most important things imo. AI and LLMs aren’t going to go away, they’re here to stay. Just look at how it already penetrated all kinds of scientific disciplines. We urgently need to regulate what companies can do with it and we need to educate people on how they work and how to use them, and especially how NOT to use them. And by the way, I wish we had never made the jump from calling it deep learning to calling it AI - I think that might have prevented a lot of problems und misunderstandings.
Look, I think ultimately our views aren’t even that different. That’s why discourse is important. I just don’t think screaming “AI is bad” is going to get us anywhere (and that’s essentially what the original comment that I replied to was doing imo). We need to be specific about what the problem is: the problem is not AI, the problem is that some people are getting super rich on the expense of almost everyone else. THAT is what we need to stop. You can’t fight technological and scientific progress, what you need to fight is malicious use of technology and the exploitation of the masses for the profit of a few. I’d say we might actually in an “industrial revolution” kind of situation. Back then, workers rights and communism became a thing. We might need something as fundamental as that to deal with today’s problems. We’ll need all the social sciences now that we’ve cut funding for over the last decades because MINT was just more important to us (I say that as a MINT scientist btw).
I find that writing out and defending my position helps me refine it. Sometimes, my perspective on things shifts just by trying to explain it. Discussions are the whetstone by which arguments are sharpened.
That makes two of us :D
Sometimes, these discussions help expand my Engish skills too.
Yesn’t. It’s a text generator that predicts a likely series of words, based on the language patterns it learned from its training material. It doesn’t so much create value as aggregate the value of other people’s work into a weighted reproduction.
However, those weights are biased by quantity, not quality. It has no way to assess which responses are good, only which ones are likely. The average value it (re-)produces is an average of the value of the training material. Models trained on a wide variety of content (such as ChatGPT) will inevitably include a lot of material of little value to specialised topics.
Hence my argument: It can get lucky and predict a high-value response, but the problem is that it isn’t guaranteed to do so. A layperson doesn’t have the expertise to tell the difference. That not only dilutes the value, it invites false confidence in the results. In cases where accuracy is critical, this may actually produce negative value if people consult an unreliable model rather than a specialist.
And that’s the critical difference to human advice: human experience is shaped by a number of factors beyond just language. We create semantic connections to abstract concepts and attach specific meaning to certain words and patterns.
LLMs don’t have that abstraction. They can predict sequences of text that sound plausible and might coincide with something describing reality, but they can’t tell whether it’s accurate.
Advice has to be grounded in reality to be useful, and that’s what LLMs are missing.
They’re perfectly suitable for tasks where correlation is enough, but if the task requires actual understanding, LLMs aren’t equipped for it.
Hype doesn’t always need a solid reason. In this case, a lot of hype stems from the hope that we may one day have the type of Artificial General Intelligence that SciFi has long dreamed of, the illusion that they may be able to do our work for us and the promise to company managers that they may be able to save money by replacing human employees with AI.
The various executives of the big AI vendors are obviously capitalising on that, stoking the hype with grand and utopic visions because they want to sell their product.
It’s not that it’s useless. It’s that the utility is far less than the lofty promises made by people milking the hype for all it’s worth. And that little utility comes at a terrible social, economic and ecologic price.
I’m in the EU too, I just read a lot of US news. I don’t think we should dismiss the consequences our use of US infrastructure has. Worse yet, I don’t think we should dismiss the political dependencies that creates.
I think that’s only a part of the problem. The second part is the lack of understanding you mentioned, and the resulting mis- and overuse. I’ve seen people trying to argue with experts because “ChatGPT said” because they genuinely do not understand that ChatGPT is a parrot, not an expert.
And the third part, again, is the disastrous effect on our world.
I’m not fighting it. I’m trying to pull it out of the pit that the current obsession with imitation has dug. When college students, the next generation or scientists, trades their scientific understanding for the convenience of high-tech parrots, that is the opposite of progress. It’s stagnation, fostered by those few people that are happily trading our future for their present profits.
That’s the mirage of this “industrial revolution” analogy: They’ve built something in the shape of a steam engine, promised the functionality of Spinning Jenny, sold fabric factory owners on the idea who fired their workers to buy these machines. The people they fired were promised that they’d have to work less, but weren’t told that they would be paid less too.
Now these machines turn out to not actually provide the smooth, spinning motion required for spinning thread. Factories are facing expensive production outages, compounding the expenses of getting these machines installed and can’t afford to hire all the workers back.
The machine shops built to produce these Sloppy Jennies or their parts will eventually find it harder to sell their iventory. Once they go under, their workers will also become economic casualties.
We’re at the point where we need to reinforce worker protections. We need to push for a system where our livelihood isn’t contingent on the amount of work we do. Only then can that utopia even manifest. And to actually make progress:
Yes.
We’ll need to understand the social dynamics of such technology to better prevent the disastrous side-effects. We’ll need to compare historical developments with present circumstances and plans to account for future developments. We’ll need to study the psychological effects of interacting with human-like machines to be able to correct course where needed.
Whatever control mechanism is supposed to prevent machines from producing harmful output will need heuristics based on those disciplines to assess the dangers of that output.
I’d include philosophy too. We don’t need neural networks that are a lesser version of human ones, nor just scaled-up variants that also replicate all the human inefficiencies, errors and biases. Those are the pure MINT approach to the problem, and it’s clearly coming up short.
We need to find a rigorous mechanism for representing semantic knowledge in digital systems that don’t just imitate, but surpass human cognition. We need a workable philosophical grounding for logical and mathematical approaches to modelling knowledge of concepts rather than just language.
We need to get over the error that LLMs are “thinking” or “just like humans”. They’re not, but as long as we’re stuck on the idea, we can’t fix it.
Also, we really, really should spend less time thinking about whether we could and more about whether we should.
Same here. It’s the best way to test my current views and beliefs and reshape or refine them.
Ah yes, hello there, fellow German. :D winkt fröhlich auf Deutsch ;)
Yes and no. While I do absolutely agree about the problem of reliability and false confidence, I do not agree on the general understanding of LLMs. You make it sound like it’s merely a predictor of likely words, like your phone keyboard may suggest words you usually use in sequence. But it is really not that simple. I disagree with the - especially here on Lemmy - very widespread “parrot” analogy in the sense that imho people have a very oversimplified idea of what large language models actually are. They don’t just count statistics of word sequences and then spit out the most likely combination. The amount of text they learn from is so big and their structure is complex enough that they can actually learn underlying patterns about WHY words are usually arranged in a certain pattern. That way, they can absolutely learn concepts and “skills” like logical reasoning, to a certain extent. The exact patterns they learned aren’t even fully understood, but obviously it does work. Even early GPT models learned to do arithmetic - there are publications that show that GPT was able to calculate arithmetic problems that were not in the training data, although it did make mistakes. Funnily, the mistakes seemed similar to mistakes humans usually make, like forgetting carryovers in additions or subtractions. Still, it had apparently learned the concept of arithmetics, just by seeing examples (and maybe explanations - we don’t really know). Modern LLMs absolutely capable of a certain level of logic. You can give ChatGPT a task it’s never seen before and chances are it can solve it. Even if it can’t - that doesn’t make its reasoning qualitatively different from how a human brain works. My argument is that humans learn how to think “logically” by seeing examples too - and they fail at logic all. the. damn. time. Go to a city center and ask people logic puzzles - see how many will be able to solve them correctly (and maybe compare the result to an LLM). I wouldn’t even be surprised if by now, even asking medical questions to doctors would, on average, yield worse results than a state-of-the-art LLM. I did a PhD in computer science a few years ago and I can tell you, I would probably rather trust the latest ChatGPT model on most questions regarding my field than myself. It has just become that incredibly good. I’m absolutely not saying it’s perfect, it still makes stupid mistakes and you have to be aware of that, but so do people. I have not seen a single convincing argument why the concept of logic or reasoning that humans have is fundamentally different from that of LLMs. Most people suck at logic. And most men in my life regularly spit out false knowledge with a confidence only a mediocre white man and an LLM can have. ;P
In all seriousness - LLMs lack sensorimotor interaction with the world, and even if we give them robot bodies, they will never know what it’s like to be human. In that sense, they will not replace us, and they will never be human. I would even agree that they will probably never be conscious (although of course we can’t be sure, especially since we haven’t understood consciousness yet in the first place). Their biases and their “way of thinking” will also most probably always be different from humans. But I do not agree that they cannot be “intelligent” in a logic/reasoning sense and that they are merely “statistical parrots”.
Agreed. I’m fascinated by how far AI has become, but it just isn’t where marketers claim it is, and we can’t be sure it will get there anytime soon.
True. Political dependencies are a serious problem and I’m pretty sure they play a big role in why the US actually lets AI companies get away with all the shit that they do.
Yeah. The point is: ChatGPT will not make you an expert. ChatGPT may act as an expert and even provide accurate information, but citing its answers will not magically make you an expert yourself. That is something that needs to be hammered into people’s heads.
Fair enough. We need to find ways to use AI as a useful tool, not a tool to make people lazy and stupid. Tbh, I think it will happen. It happened with Google as well. People used to use Google wrong all the time when it was still new. They clicked the first search result and believed absolutely everything it said. I’m kinda old, I remember that time. :P I’m pretty sure it will be similar with LLMs. By using them, we will learn their limitations and shortcomings, and many of us will learn the hard way. The marketing strategies of AI companies are NOT helpful with that.
I absolutely 100% couldn’t agree more. AI has already had a lot and probably will have even more impact on us, on other technologies like medicine, biotechnology, probably chemistry, material sciences, and loads of other key technologies. We will have a LOT of trouble keeping up with that acceleration of technological progress as a society. In a world where even the existence of the internet doesn’t seem to have been digested fully, AI has the potential to completely wreck everything. And certain people will do all they can to exploit that to gain power and money. And we will have to be faster than them.
In that sense, I agree that
is probably right. The EU’s AI Act is a good first step, but the world is in this together, and with the current geopolitical situation I honestly don’t see us working together here for the good of humankind. So maybe trying to somehow decelerate technological progress really can be a reasonable way to take pressure out of that system. I’m not sure it’s possible though.
Trust me, bro!
They are real people these friends of mine, but you don’t know them, because they are from a different school. And you won’t see them this summer at all because… they are both actually models in Canada during the summer.
But totally cured and now they get boners also with THIS ONE TRICK that doctors HATE it!!!
I don’t know what your problem is. My friends are indeed real people. They are not cured, I said they have diagnoses.
One of them has had diffuse but severe symptoms for at least the last 15 years. Bloating, stomach pain, vomiting, circulation problems, etc. She had nights of vomiting and diarrhea where she said she thought was dying, that’s how miseable she felt. She went to many doctors, they ran many checks, and she only ever got the same result: there is nothing to be found, it must be psychosomatic, probably stress. This result, by the way, is a very common one when you’re a woman and you’re seeking medical attention, even for serious problems. Last year, she discussed all her symptoms and observations (like foods and acitivities that seemed to make the symptoms worse) with ChatGPT and it suggested it might be MCAS. She got medication that is supposed to help with MCAS and she is feeling so much better now. She is not cured, but she can have a normal life again. I can tell she has about twice as much energy as she used to have. That is a huge life quality improvment.
The other friend has had bad hearing on one ear for almost all his life. Doctors never found a cause, all they said was “well we could cut it open and take a look if you want” which didn’t sound so great so he never had it checked further. After discussion with some LLM chat bot, he went to another doctor and insisted on getting a CT scan. Turns out he has a (benign) tumor in his ear that’s been growing ever since he was a child. It will be surgically removed soon because it won’t stop growing on its own and might even grow into the brain one day. If he’s lucky, his ear might even be much better afterwards (unless too much of the structure is already destroyed by the tumor growing).
Look, I know it sounds kinda stupid, but I promise you, these are real stories. I know that if you do it wrong, discussing health issues with an LLM can absolutely backfire and be very dangerous. But if you can trust your own brain and don’t switch it off just because you’re using an AI, it can actually be really helpful.
The medical field is one of the places where AI has made real, tangible improvements.
I can’t vouch for that other person’s anecdote, but it seems entirely plausible that an LLM chatbot would be able to better diagnose an issue than a search engine, or even a human doctor, especially if the underlying issue was something like an autoimmune disease, which are notoriously difficult to diagnose.
One of the big flaws in the medical profession (and, really, most professions) is that once you are out of school, nothing forces you to keep learning as the field advances. This potentially, and counterintuitively, results in gaps in knowledge that increase the longer a doctor has been practicing. LLMs, with access to the newer medical information and with the ability to receive and output natural language, do make good tools for diagnosis.
AI, as it turns out, is also way better at analyzing MRI scans and x-rays than humans.
An old-fashioned Google search can point you to more information, if you’re curious about how AI has advanced the medical field.
Medical AI is usually more along the lines of ‘we’ve created a proprietary model for computer aided diagnostics specific to x disease being scanned with y modality and we’ve taken this through the regulatory process in z jurisdiction’ than ‘put your symptoms into an LLM lol’.
There are studies that show that LLMs (chatbots) perform as well or better than human physicians.
I’m not suggesting getting rid of physicians, though. This is a tool for humans, not a replacement.
@joe @mobyduck648 [citation needed]
@joe if it’s a tool for doctors to use then it will simply increase the costs of providing care even if there is an increase in the quality of that care. That means adoption of that particular type of “AI” will be limited. If it’s possible to replace doctors with a chatbot, that will decrease costs even if the quality of care also decreases.
Which one do you think is more likely to be widely used in a profit-driven, anti-human system?
@mobyduck648
Don’t conflate the fucked up medical system of the US with any other countries system. If the cost in Belgium would rise 40%, I would pay 7€ instead of 5€.
These are concerns with the healthcare system, not concerns with AI.
@joe they are not separable. Just like concerns about fair compensation for visual artists and writers are inseparable from “AI”.
Noted: my question remains unanswered.
Super cool! Well we can base your personal healthcare on AI’s sole guidance and if you are misdiagnosed, injured or dead as a result of an “oopsie”, no human will be held legally liable - fun!
So no real stakes for anyone to get it right, as with human-led interventions (with careers on the line at every stage to keep people engaged and honest). But corporations will probably just naturally do the right thing.
But you’re brave, you offer yourself as tribute to the lying machine. Tight tight tight!!!
You seem very passionate about this topic, but you’re not really adding much to the discussion.
Don’t worry, its coming across loud and clear that AI could cure cancer and you’d still think it was better to have cancer than use AI. I get it. AI = bad, full stop. Message received.
“AI” isn’t a thing. Computer vision, machine learning, natural language processing and neural networks are. These can all be useful tools when regulated and maintained with active oversight to balance with society’s other core priorities. What’s at question is the current method and human cost for this frivolously hyped, deceptively marketed lying machine with a single tangible use to date, being the operating system for Facebook’s pervert glasses. You didn’t read, of missed the entire point of, this important article, shared from an important contemporary mind.
Name and cite SPECIFIC examples of anything you claim.
P.s. you don’t “cure cancer”… cancer is a broad heading for hundreds of unique types of disease, presenting in different, completely unique systems within the human body. Like AI, “a cure for cancer” is a broad generalization of complex underlying systems that ignorant people make frivolously - People who think they HAVE the entire knowledge of the world in their brains, when they actually only have a plastic rectangle in their pants pocket with privilege-gated access to a (mostly corporate) CURATED VERSION of the world’s historic knowledge. So if you’ve “cured cancer” friend, why aren’t you treating the 20-30k humans that will die from a form or cancer today worldwide?
@joe @Snapz
> The medical field is one of the places where AI has made real, tangible improvements.
This is demonstrably untrue.
AI tends to increase dangerous racial bias in healthcare.
- https://kclpure.kcl.ac.uk/portal/en/publications/healthcare-bias-in-ai-a-systematic-literature-review/
- https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3747737
- https://tech4future.info/en/algorithmic-discrimination-healthcare/
- https://link.springer.com/article/10.1007/s13347-022-00590-8
- https://link.springer.com/article/10.1007/s40615-024-02237-0
- https://journals.sagepub.com/doi/10.1177/20539517231213820
- https://www.cell.com/cell-reports-medicine/fulltext/S2666-3791(24)00321-5
- https://www.nature.com/articles/s41746-025-01746-4
@joe @Snapz AI is dangerously unreliable in a clinical setting and often provides dangerous medical advice in and out of clinical settings.
- https://futurism.com/typo-ai-doctor-haywire
- https://www.acpjournals.org/doi/10.7326/aimcc.2024.1260
- https://ai.nejm.org/doi/full/10.1056/AIoa2300015
- https://dl.acm.org/doi/10.1145/3715275.3732121
- https://www.npr.org/2023/06/08/1181131532/eating-disorder-helpline-takes-down-chatbot-after-it-gave-weight-loss-advice
- https://garymarcus.substack.com/p/serious-medical-error-from-perplexitys
- https://doi.org/10.1145/3715275.3732039
AI can make medical professionals less competent
- https://www.thelancet.com/journals/langas/article/PIIS2468-1253(25)00133-5/abstract
- https://link.springer.com/article/10.1007/s10462-025-11352-1
deleted by creator
Just adding my two cents to this because I have heard this before. The AI wasn’t programmed to do this. It was training to based off the racist shit on the internet that it takes from. Systemic racism just doing it’s thing.
To be clear, I didn’t mean to imply that AI was flawless or had no room for improvement, only that it has made real, tangible improvements. This is why it shouldn’t be used as a replacement for humans, but as a tool for humans.
@joe Please cite your sources. What improvements? How were these improvements tested, studied, and documented? Where were the results published?
I trust you’re capable enough to do your own Google search.
Isn’t it great when you ask someone to cite their sources, and instead of doing so, they say “Google it”? They really sound smart when they do that, huh?
@joe So you made them up. Good to know.
I see. You would rather feel correct than be correct. That’s not a wise strategy.
The studies I allude to exist or don’t independently from whether I spoon feed them to you.
Good to know.
Funny how my experience is the American health care system is still 100% absolute shit that costs me 2k a month for the privilege of said shit. My wait times are the same, my “go fuck yourselves” are the same, my healthcare workers are still underpaid, and the systems for consumers are still shit.
“But the charts say AI is helping”
Once again it’s consumers get to wait for the piss to trickle down our backs. AI hasn’t done shit for the average Joe except make everything cost more while providing a worse service. Please, tell me how my healthcare experience has improved in the past 2 years. Go.
You are talking about a different thing than I am. The American healthcare system is garbage with or without AI, but AI is helping the medical field. Getting a more accurate analysis of an MRI scan is objectively a good thing, for example, even if the healthcare system that performed the scan is garbage.
They’re not using LLMs to analyse MRI scans. There are image processing algorithms for that, but they’re a whole other thing to what this entire thread is about.
Also, are you a fucking bot? I’ve read all your comments so far in this thread and uhh yeah. Please feel free to jog on now.
I’m flattered. Did you read the first one where I said it was reductive to equate AI with chatbots?
When people say AI they are talking about Gen AI chatbots. Pretending they aren’t in a thread discussing an article where the author is definitely talking about chatbots is being really pedantic.
Which was my earlier point. He is wrong when he equates AI with nothing more than chatbots.
How is “helping the medical field” not compatible with better healthcare quality? If the end user isn’t experiencing benefits, then how can you claim that benefits have been provided? Who is getting these “benefits” if it’s not the end user? If someone IS getting benefits, yet the end users still haven’t gotten a better experience… Then can you agree that AI is only helping intermediaries? Like… The corporations who provide the garbage experience?
Do you see your logical fallacy here?
If your loved one is diagnosed with cancer early that would have been missed by a human, that’s a fucking benefit, is it not?
I’m sick of luddites.
But is that happening? Have we seen better diagnoses? Can you reference a study showing that we are actually catching more cancer?
Or are you just feeding into the bullshit of “AI IS CHANGING EVERYTHING” because that’s what they tell you?
I’m sick of people like you claiming benefits from a technology that is literally raping us all. Our checkbooks, our jobs, our environments, our freedoms, our communities. “But but someone told me it’s helping” fuck off prove it.
You’re sick of luddites? I’m sick of being lied to, and sick of saps like you spreading the lies.
AI is very very different from llms. And no, an LLm can’t diagnose shit. A camera trained to detect certain cancerous cells in imaging works fantastically though
…although it was originally created to identify pastries
c/nothingeverhappens