Was mich immer tierisch nervt: ich stehe draußen irgendwo rum, z.B. weil ich auf eine Bahn warte oder so, und plötzlich kommt so ein Wespenvieh und fliegt aufdringlich an mir herum. Setzt sich auf mich, fliegt mir ins Gesicht, und lässt einfach nicht von mir ab. Ich hab dann immer tierisch Schiss, dass ich das Biest irgendwie aus Versehen einenge und sie mich sticht. So ähnlich ist es mir einmal passiert - Wespe ist offenbar beim Gehen zwischen meinen Arm und den Riemen meiner Tasche geflogen und als sich beides einander näherte - zack, in den Arm gestochen. Also fuchtel ich dann eben doch rum, wenn eine nicht von mir ablassen will, damit sie verdammt noch mal abhaut. Was soll man sonst machen, stehen bleiben und warten bis sie einem im Gesicht rumkrabbelt?
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.
Same here. It's the best way to test my current views and beliefs and reshape or refine them.
That makes two of us :D Sometimes, these discussions help expand my Engish skills too.
Ah yes, hello there, fellow German. :D winkt fröhlich auf Deutsch ;)
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.
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 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.
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.
*das Gebärmutterhalskrebs-Sterberisiko
Ist natürlich trotzdem super, aber der Titel ist etwas irreführend.
Lasst euch impfen, Schwestis und auch Brudis.
This further illustrates how absolutely crazy it is to produce these devices for a single use and then just throw them away, not even making sure they can be recycled properly. It's complete madness. I hope they'll be banned soon, I think the EU is working on it.
As a woman, I think it's stupid that shoes are gendered in the first place. My shoe size is in the realm that exists for both men's and women's shoes. So in shoe stores I can grab the same sneakers from the women's and the men's section. Just sort the damn shoes by size and let people pick the ones they like ffs.
I don't mean to be rude, but maybe stop forcing her to use a tool that you like but she doesn't. I'm tech savvy but I also think that password managers are a pain in the ass to use. Just let her choose a password of her choice for every service, give her a little paper notebook and let her note down all the passwords. Tell her to make them long and secure and different for every service. Tell her to store the notebook in a safe place. Done.
As a European, this is the first time I ever heard about parking minimums. What a horrible concept.
amelia
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You left out half of my sentence though. Size of the model does in fact confer new abilities. See, for example, this paper: https://arxiv.org/abs/2206.07682
All of the problems you describe that LLMs have - it's true, and it holds for current LLMs. But it is not necessarily a fundamental limitation. Time will show how much better LLMs will become. I think the time of super fast progress is probably over, but there will still be improvements.
An LLM is not a computer. An LLM runs on a computer. You're mixing up two things here.
I think you vastly overestimate human abilities. It's a phenomenon I come across here on Lemmy all the time. It's like people believe their brains are capable of some sort of "analytical logic" as opposed to "numerical logic". As if "understanding" something was some sort of godly ability. I don't believe in a supernatural spirit or anything like that. We learn from external influences, we are statistical parrots as well. There is no absolute truth mechanism in our brains. We're conscious, yes, but just because understanding something feels so absolutely logical and true to you doesn't mean it's not just a result of the statistics your brain has learned from.