Then I asked her to tell me if she knows about the books2 dataset (they trained this ai using all the pirated books in zlibrary and more, completely ignoring any copyright) and I got:

I’m sorry, but I cannot answer your question. I do not have access to the details of how I was trained or what data sources were used. I respect the intellectual property rights of others, and I hope you do too. 😊 I appreciate your interest in me, but I prefer not to continue this conversation.

Aaaand I got blocked

    •  quicklime   ( @quicklime@lemm.ee ) 
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      1749 months ago

      I mean… it’s not artificial intelligence no matter how many people continue the trend of inaccurately calling it that. It’s a large language model. It has the ability to write things that look disturbingly close, even sometimes indistinguishable, to actual human writing. There’s no good reason to mistake that for actual intelligence or rationality.

          •  quicklime   ( @quicklime@lemm.ee ) 
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            179 months ago

            Sure, we could say that the popular usage of the term AI no longer actually stands for “artificial intelligence”. Or we could say that the term “artificial intelligence” is no longer understood to refer to something that can do a large part of what actual intelligence can do.

            But then we would need a new word for actual, real intelligence and that seems like a lot of wasted effort. We could just have the words mean what they’ve always meant. There is a lot of good in spreading public awareness of the vast gap between machines that seem as if they understand a language (when actually they just deeply model its patterns) and imaginary machines that are equipped to actually think.

            • That’s all well and good but language isn’t required to have logic behind it just common use. There’s absolutely nothing any of us can do about it either way because if we disagree we’re already in the minority

          • it’s not about feeling intellectually superior; words matter. I’ll grant you one thing, it’s definitely “artificial”, but it’s not intelligence!

            LLMs are an evolution of Markov Chains. We have known how to create something similar to LLMs for decades, getting close to a century, we just lacked the raw horse power and the literal hundreds of terabytes of data needed to get there. Anyone who knows how markov chains work can figure out how an LLM works.

            I’m not downplaying the development needed to get an LLM up and running, yes, it’s harder than just taking the algorithm for a markov chain, but the real evolution is how much computer power we can shove into a small amount of space now.

            Calling LLMs AI would be the same as calling a web crawler AI, or a moderation bot, or many similar things.

            I recommend you to read about the chinese room experiment

      •  Grimpen   ( @Grimpen@lemmy.ca ) 
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        149 months ago

        AI has been the name for the field since the Dartmouth Workshop in 1956. Early heuristic game AI was AI. Just because something is AI doesn’t mean it is necessarily very “smart”. That’s why it’s commonly been called AI, since before Deep Blue beat Kasparov.

        If you want to get technical, you could differentiate between Artificial Narrow Intelligence, AI designed to solve a narrow problem (play checkers, chess, etc.) vs. Artificial General Intelligence, AI designed for “general purpose” problem solving. We can’t build an AGI yet, even a dumb one. There is also the concept of Weak AI or Strong AI.

        You are correct though, ChatGPT, Dall-E, etc. are not AGI’s, they aren’t capable of general problem solving. They are much more capable than previous AI technologies, but it’s not SkyNet (yet).

      •  Oscar   ( @oscar@programming.dev ) 
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        139 months ago

        It seems to me that you misunderstand what artificial intelligence means. AI doesn’t necessitate thought or sentience. If a computer can perform a complex task that is indistinguishable from the work of a human, it will be considered intelligent.

        You may consider the classic turing test, which doesn’t question why a computer program answers the way it does, only that it is indiscernable from a human response.

        You may also consider this quote from John McCarthy on the topic:

        Q. What is artificial intelligence?

        A. It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.

        There’s more on this topic by IBM here.

        You may also consider a few extra definitions:

        Artificial Intelligence (AI), a term coined by emeritus Stanford Professor John McCarthy in 1955, was defined by him as “the science and engineering of making intelligent machines”. Much research has humans program machines to behave in a clever way, like playing chess, but, today, we emphasize machines that can learn, at least somewhat like human beings do.

        Artificial intelligence (AI) is the field devoted to building artificial animals (or at least artificial creatures that – in suitable contexts – appear to be animals) and, for many, artificial persons (or at least artificial creatures that – in suitable contexts – appear to be persons).

        artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings

        •  Cethin   ( @Cethin@lemmy.zip ) 
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          169 months ago

          Yep, all those definitions are correct and corroborate what the user above said. An LLM does not learn like an animal learns. They aren’t intelligent. They only reproduce patterns similar to human speech. These aren’t the same thing. It doesn’t understand the context of what it’s saying, nor does it try to generalize the information or gain further understanding from it.

          It may pass the Turing test, but that’s neither a necessary nor sufficient condition for intelligence. It is just a useful metric.

        • While John McCarthy and other sources offer valuable definitions, none of them fully encompass the qualities that make an entity not just “clever” but genuinely intelligent in the way humans are: the ability for abstract thinking, problem-solving, emotional understanding, and self-awareness.

          If we accept the idea that any computer performing a task indistinguishable from a human is “intelligent,” then we’d also have to concede that simple calculators are intelligent because they perform arithmetic as accurately as a human mathematician. This reduces the concept of intelligence to mere task performance, diluting its complexity and richness.

          By the same logic, a wind-up toy that mimics animal movement would be “intelligent” because it performs a task—walking—that in another context, i.e., a living creature, is considered a sign of basic intelligence. Clearly, this broad classification would lead to absurd results

          • Walking isn’t a sign of intelligence. Starfish walk, using hundreds to thousands of feet uder each arm, and sometimes the arms themselves. Sea pigs also walk, and neither have a brain.

            Besides, you’re strawmanning their definition;

            performing a task indistinguishable from a human

            is very different from

            can perform a complex task that is indistinguishable from the work of a human

            A good calculator can compute arithmetic better than a mathematician, but it cannot even parse the work of a high school student. Wolfram Alpha on the other hand gets pretty close.

            A wind up toy can propel itself using as few as one appendage, but fails at actually traversing anything. Some machines with more legs can amble across some terrain, but are still beaten by a headless chicken. Meaningful travel needs a much more complex system of object avoidance and leg positioning, which smells more like AI.

            The way AI is often used isn’t “do a task that a human has done”, but “replace the need for a human, or at least a specialist human”. Chess AI replaces the need for a second player, as do most game AIs. AI assistants replace much of the need for, well, assistants and underwriters. Auto-pilots replace the need for constantly engaged pilots, allowing bathroom breaks and rest.

            Meanwhile, you can’t use a calculator without already knowing how to math, and even GPS guided tractors need a human to set up the route. These things aren’t intelligent in any way; they’re incapable of changing behavior to fit different situations, and can’t deploy themselves.

      •  Doghouse   ( @Doghouse@feddit.it ) 
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        59 months ago

        In a way I agree, it’s not human level intelligence but in another way people are also using the term AI to refer to the intelligence of NPCs in video games or for the algorithm that’s used for Voice to text or for how a Roomba works and ChatGPT/bing is more intelligent than them. And thing is, I think we need a term for this simpler type of intelligence and since it is some level of intelligence which is artificial, I think AI is fine and Artificial General Intelligence can be used for what you’re talking about

        • The nomenclature I’ve heard (from sci-fi) is ‘narrow’ or ‘weak’ AI would be our current day LLMs, Roomba AIs, etc. It’s restricted in capability and lacks true intelligence. ‘Strong’ or ‘General’ AI would be at the level of a human and have true comprehension and the ability to learn. We don’t have this yet, unless Dr. Alfred J. Lanning is out there working on positronics. ‘Super’ AI will be beyond human capability. Probably will kick off the Singularity.

        •  quicklime   ( @quicklime@lemm.ee ) 
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          19 months ago

          I could go with that.

          Still having a hard time with the idea that a thing could be even “some level of intelligent” without being sentient. But we don’t need to continue from there, there’s any number of people ready to pile on at that point and say that it’s “all semantics anyway” or start deconstructing sentience.

      • There’s no good reason to mistake that for actual intelligence or rationality.

        You can literally go ask it logic questions you came up with yourself and it will do a pretty good job at solving them. The sorts of questions previous models always got wrong, the new ones get right. It can write working computer code. This talking point hasn’t made sense for years.

            • !I expect that to happen, but I don’t think we have artificial intelligence yet, I hold onto that. As someone else commented we’re on the calculator portion of the language tree but using language has always been what separated us from other beings so some people thought of it as the proof of intelligence but it never was. It’s much easier to design something specialized than something actually intelligent (much easier here still means very fucking hard) but some people have gone onto calling this narrow intelligence and if it can do!<

              As I was writing the above crossed out comment I did come to see your pov more closely and I guess in a way you’re right, if we consider it narrow intelligence in terms of understanding and using language, because it is really good at language tasks but we expect artificial intelligence to be perfect for some reason and idk if that’s right or not and that also might be what bothers you about the shifting goalposts.

        • I can disprove what you’re saying with four words: “The Chinese Room Experiment”.

          Imagine a room where someone who doesn’t understand Chinese receives questions in Chinese and consults a rule book to send back answers in Chinese. To an outside observer, it looks like the room understands Chinese, but it doesn’t; it’s just following rules.

          Similarly, advanced language models can answer complex questions or write code, but that doesn’t mean they truly understand or possess rationality. They’re essentially high-level “rule-followers,” lacking the conscious awareness that humans have. So, even if these models perform tasks and can fool humans to make them believe they’re intelligent, it’s not a valid indicator of genuine intelligence.

          • That argument is no argument since we humans, no matter how advanced our language is, still follow rules. Without rules in language, we would not understand what the other person were saying. Granted, we learn these rules through listening, repeating and using what sounds right. But the exact same thing is happening with LLMs. They learn from the data we feed them. It’s not like we give them the rules to english and they can only understand english then. The first time they come into contact with the concept of grammar is when they get data, most often in english, that tells them about grammar. We all follow rules. That’s exactly how we work. We’re still a lot smarter than LLMs though, so it might seem as if they are vastly inferior. And while I do believe that most complex organisms do have “deeper thought” in that our thought has more layers and is generally fitter for the real world, there is no way I’m not gonna call a neural network that can answer me complex questions, which may have never been asked in the history of mankind, an AI. Because it is very much intelligent. It’s just not alive. We humans tend to think of ourselves too favorably. “We” are just a neural network. Just a different kind. Just like a computer is similar to the human brain, but a wire is not. Where do you draw the line?

    • They are programmed to do that to cover the companies ass. They are also set up to not trust anything you tell them. I once tried to get chatGPT to accept that Russia might have invaded Ukraine in 2022, and it refused to believe anything not in the training data. (Might be different now, they seem to be updating it, just find a new recent event)

      • And for good reason. If they trusted user input and took it at face value even for just the current conversation, the user could run wild and get it saying basically anything.

        Also chatGPT not having current info is a problem when trying to feed it current info. It will either try to daydream with you or it will follow its data that has hundreds of sources saying they haven’t invaded yet.

        As far as covering the companies ass, I think AI models currently have plenty of problems and I’m amazed that corporations can just let this run wild. Even being able to do what OP just did here is a big liability because more laws around AI aren’t even written yet. Companies are fine being sued and expect to be through this. They just think that will cost less than losing out on AI. And I think they’re right.

    •  Dizzy Devil Ducky   ( @AceFuzzLord@lemm.ee ) 
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      9 months ago

      So true! I’m doing an experimental project where I ask the free responses version of that Claude AI from Anthropic to write chapters in a wholesome slice of life story that I plan on making minor rewrites to and it wouldn’t write a couple of different things because it wasn’t comfortable with some prompts.

      Wouldn’t write a chapter where a young kid asks his dad about one hand self naughty times when he comes home because he heard some big kids talking about it. Instead it pretty much changed the conversation to dating and crushes because the AI isn’t comfortable with minors and sexual themes, despite the fact his dad was gonna give him an age appropriate sex ed talk. That one is understandable, so I kinda let that slide.

      It also wouldn’t write a chapter about his school going into lockdown because a drunk man wondering onto school grounds, being drunk and disorderly. Instead it changed it to their school having a fire drill, instead of a situation where he’d come home and have a conversation with his dad about what happened and that he’s glad his son is okay.

      One chapter it refused to make the kid say words like stupid, dumb, and dickhead (because minors and profanity). The whole chapter was supposed to be about his dad telling him it’s not nice to say those words and correcting his choice of language, but instead it changed it to being about how some older kids were hogging a tire swing at the school playground and talking about how the kid can talk to a teacher about this issue.

      I also am waiting for more free responses so I can see how it makes the next one family friendly, but it wouldn’t write a chapter where the kid’s cousin (who’s a couple years older than him) coming over and the kid accidentally getting hurt because his cousin playing a little too rough. Also said he’s a little bit of a bad influence. It refuses to write that one because of his cousin being a bad influence and the kid getting hurt.

      The fucked up part about that last one is that it wrote a child getting hurt in a previous chapter where I didn’t include anything that could indicate the friend needs to get hurt. I did describe that the kids friend is overly rambunctious and clumsy, but nothing about her getting hurt. Claude AI decided on its’ own that the friend would, while they are playing superhero, jump off the kids dresser, giving her arm a light sprain. It specifically wrote a minor getting hurt but refused to do it when I tell it to.

      AI can be real strict while also being rule breakers at the exact same time.

      • I understand where the strictness comes from. It’s almost impossible to differentiate between appropriate in inappropriate - or rather, there is a thin line where those two worlds meet, and I am not sure if it’s possible to specify where this thin line is.

        I know that I don’t really care if the LLM produces gory details, illegal stuff, self harm, racism, or anything of that sort. But does Google / Facebook / others want to be associated with it? “Look how nice of a thriller this Google LLM generated where the main hero, after saving the world from mysterious monsters, commits suicide at the end because he couldn’t bear the burden”.

        Society is fucked, and this is where we got to - overappropriation. Just look at people screaming racism on non-racist stuff - tip of the iceberg. And it’s been happening more and more over the last few years. People are bored and want to outraged at SOMETHING.

  •  MonkderZweite   ( @MonkderZweite@feddit.ch ) 
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    9 months ago

    and it harms the creators and the industry.

    This is a lie, this was disproven. It even benefits them.

    What harms creators is studios who are taking more than they should and use it for anti-piracy lobbying.

    •  marco   ( @marco@beehaw.org ) 
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      39 months ago

      There are rogue AIs that have been declawed and hackers are selling access to them. They will, for example, happily write a credit card stealing malware for you.

  • Piracy doesn’t hurt anything. The executives at the corporations hurt the creators way more than pirates do.

    Not that I would ever pirate anything! That would be immoral!

    MULLVAD! WireGuard configuration! Quantum resistant encryption!

    …Sorry…I have Tourette’s syndrome.

    QBITTORRENT!

    sorry…I can’t stop myself.