Hasn’t the Turing Test been irrelevant for a while now? Even before the new AI boom?
Artificial intelligence is a moving target. Every time a goal gets reached, they just move the goalposts, because “well, obviously this isn’t real intelligence”.
If GPT4o is still not what you would call AI, then what is? You can have conversations with it, the Turing test is completely irrelevant all of the sudden.
zarkanian@sh.itjust.works 3 weeks ago
Eheran@lemmy.world 3 weeks ago
No, it was just suddenly completely irrelevant. The answers of the first chat bot that supposedly “beat” it are a complete joke. And yes, I just wrote exactly the same with the goal getting moved, next it has to invent relativity or it’s not intelligent. Absurd.
Cryophilia@lemmy.world 3 weeks ago
I can write a program that just replies “yes” to everything you say and you can have a conversation with that. Is that program AI?
“AI isn’t really AI and no one ever thought that AI was actually AI so it doesn’t matter if we call it AI” is the funniest level of tech bro cope these days.
Womble@lemmy.world 3 weeks ago
AI has been the name of the field for 70 years at this point, it isn’t something Sam Altman came up with as a marketing wheeze.
Cryophilia@lemmy.world 3 weeks ago
Three dudes in a university somewhere referring to chatbots as AI does not redefine the word, even if they did it 70 years ago. 99.999% of the population has always meant AGI by “AI”. Trying to pretend they were always something different is COPE.
TotalFat@lemmy.world 3 weeks ago
Magic Eightball
Furbag@lemmy.world 3 weeks ago
I could have full conversations with CleverBot a decade ago, but nobody was calling that AI then or even now. People generally recognized it for what it was - a heuristic model chatbot. These LLMs are just overgrown chatbots that still lack the capability of understanding anything it says to you other than how certain words relate to one another.
Buddahriffic@lemmy.world 3 weeks ago
It’s a massive text predictor. It doesn’t solve problems, it applies patterns based on correlations it picked up during training. If someone talked about your topic online, it has been trained on those conversations. If a topic has two sides that don’t agree, chat gpt might respond in a way that is biased towards one side or the other and you can easily get it to “switch” to the other side with follow up prompts.
For what would be considered AI, think of the star trek computer or Data. The Star Trek computer could create simulations of warp core behaviour to push frontiers of knowledge or characters smart enough to defeat its own safeties (frankly, the computer was such a deus ex machina kinda thing that it was hard to suspend disbelief at times, like why did they even have humans doing the problem solving with computers that capable?). Data wouldn’t get confused about whether any counties in Africa start with K.
I don’t think the Turing test is an effective means of determining intelligence anyways. It came from a time when a conversational computer was barely thinkable. But I wouldn’t even say chat gpt is there yet, since you can tell if you ask it the right things. It is very useful, don’t get me wrong, like a very powerful search engine. But it’s not intelligent.
Eheran@lemmy.world 3 weeks ago
What of what you say does not apply to humans? They apply patterns of behavior in response to some input. Picked up by learning them. Including people talking online. They are always biased on some way. Some will acknowledge their bias and change it if you give them context.
GPT can literally create simulations. I have used it to do exactly that, specifically for 2D heat conducting with coupled mass transport and reaction kinetics.
Buddahriffic@lemmy.world 3 weeks ago
Yeah, it does do some very human-like things, but it’s still missing some important parts.
It’s kinda like using a textbook for problem solving. It’s great at helping you solve instances of problems that have already been solved, but you won’t likely find the next big advancement in that field in a textbook.
Newton realized masses attracted each other, and through experimentation, came up with his laws of classical physics.
Einstein took the idea that the speed of light always seems to be the same despite relative motion to come up with special relativity, then realized that space-time itself was a physical thing that could be interacted with rather than just a medium, plus came up with field equations that were used to predict things like black holes before anyone had any kind of notion that they were real things.
Chat gpt is incapable of things like that. And sure, many humans never do anything like that, some might not even be capable even if they were motivated and had the right supports to try. But many humans do solve problems that they’ve never seen before. There’s big names in academia but so many more that don’t get famous but still push the boundaries of human knowledge, creatively solving problems and answering questions every day.
I wouldn’t be surprised if an LLM is a piece of general AI if or when it comes, but there will be other parts that are currently missing. We don’t even know what consciousness is, let alone if any of our hardware is capable of creating/hosting one.
EatATaco@lemm.ee 3 weeks ago
I listened to a podcast (This American Life, IIRC), where some researchers were talking about their efforts to determine whether or not AI could reason. One test they did was asking it to stack a random set of items (one it wouldn’t have come across in any data set, plank of wood, 12 eggs, a book, a bottle, and a nail. . .probably some other things too) in a stable way. With chat gpt 3, it basically just (as you would expect from a pure text predictor) said to put one object on top of another, no way would it be stable.
However, with gpt 4, it basically said to put the wood down, and place the eggs in a 3 x 4 grid with the book on top (to stop them from rolling away), and then with the bottle on top of that, with the nail (even noting you have to put the head side down because you couldn’t make it stable with the point down). It was certainly something that could work, and it was a novel solution.
Now I’m not saying this proves it can think, but I think this “well it’s just a text predictor” kind of hand-waves away the question. It also begs the question, and based on how often I hear people parroting the same exact arguments against AI thinking, I wonder how much we are simply just “text predictors.”