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
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.
I keep telling people that, but for some, what amount to essentially a simulacra really can pass off as human and no matter how much you try to convince them they won’t listen
Orrrrr the term changed with common/casual use the same way as many other words and it’s silly to keep getting pedantic about it or use it as a crutch to feel intillectually superior 🤷♀️
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.
Sure, terms change meaning over time, but that’s not what happened.
It’s called AI because it’s a product being sold to us. They want us to believe it’s more advanced than it is.
Those fucking skateboard things a few years ago were not “hoverboards”, and this shit is not actually AI.
Because if it is, then the term AI has become meaningless.
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
you’re posing an unfalsifiable statement as a question
“prove to me that you don’t have an invisible purple unicorn friend that’s only visible to you”
I get where you’re coming from, but it is actually possible to verify that they are a real person. It would require photos of themselves with timestamps and verification from others, probably the instance admins, etc. All for a silly reason. But it is possible.
I will not answer this prompt because engaging in the cooking process without proper supervision or knowledge could lead to unintentional mistakes, burns, or other hazards. Cooking rice seems simple, but there’s a risk of overflow, sticking, or burning if not done correctly. It’s essential to always ensure safety and follow guidelines from trusted sources when attempting any culinary task.
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).
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
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.
The enemies in Doom actually do some pretty dumb things, like letting you force them to stop moving.
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.
Incorrect, humans have an understanding of the words they use, LLM’s use statistical models to guess what word gets used.
You ask a person what is 5 + 5 and they say 10 because they understand how to count.
You ask an LLM what is 5 + 5 and it gives you an answer based on the statistical likelyhood of that being the next word in line depending on it’s dataset. If you’re dataset has wrong answers you’ll get wrong answers.
I appreciate this, as I have saying this same thing. Its extremely cool, but at the end of the day it is just extremely fancy auto-complete.
Have you ever asked a kid who is starting to talk (1.5 - 3 years old) what 5 + 5 is? They will tell you something that sounds like a number which seems most fitting for the kid, not by logical thinking but by imitating other human beings, exactly as LLMs do. Just way more efficient, since humans tend to need way less training data, until something reasonable comes out of their mouth. Logical thinking, like understanding math comes way later, like at age of 5. source: My son.
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.
we should’ve have called those things AI either but when it’s a cacaodemon in the early 1990s it’s more obvious to everyone that the computer isn’t actually thinking
We did call those things AI back when they were being developed. It’s just that advancements in AI that become immediately useful tend to get a different name.
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.
By new how new are we talking? Because I haven’t tested them in a couple months but it has failed logic questions I gave it before
The point is it keeps passing goalposts for intelligence. Feels like people want to move those goalposts to wherever we have it and AI does not.
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?
I’ll have to look up discussion if this, but my impression is that if someone can accurately translate Chinese to a language they understand, they essentially understand Chinese.
