Why is that a criticism? This is how it works for humans too: we study, we learn the stuff, and then try to recall it during tests. We’ve been trained on the data too, for neither a human nor an ai would be able to do well on the test without learning it first.
This is part of what makes ai so “scary” that it can basically know so much.
Because a machine that “forgets” stuff it reads seems rather useless… considering it was a multiple choice style exam and, as a machine, Chat GPT had the book entirely memorized, it should have scored perfect almost all the time.
I guess it comes down to a philosophical question as to what “know” actually means.
But from my perspective is that it certainly knows some things. It knows how to determine what I’m asking, and it clearly knows how to formulate a response by stitching together information. Is it perfect? No. But neither are humans, we mistakenly believe we know things all the time, and miscommunications are quite common.
But this is why I asked the follow up question…what’s the effective difference? Don’t get me wrong, they clearly have a lot of flaws right now. But my 8 year old had a lot of flaws too, and I assume both will get better with age.
Thanks for the link, that’s a fascinating article.
The thought experiment (I really liked it) has convinced me that an LLM cannot learn meaning the same way a human does.
But two counter arguments arise: first - does it matter? If the only interaction is through thai text, how could the difference between understanding the meaning of Thai text and simple text completion through infinite studying of Thai books be asserted? And second - how is this changed by multimodal models? The author explicitly states that all images are removed from the library and, when asking others on their opinions of the thought experiment, “I’d look for an encyclopedia with images” is considered cheating. That means the author considers images as a weak point of the thought experiment. If the presence of other media did not change the outcome they would not have to be excluded. And if multi modal models change your opinion is that not simply because you underestimated how much you can do with infinite time in a Thai library? What is the fundamental difference between text and an image?
You ever meet an ai researcher with a background in biology? I’ve discussed this stuff with one. She disagrees with Turing about machines thinking including when ai is in the picture. They process information very differently from how biology does
so to summarize, your only contributions to this thread are to go “well uh you just don’t know how LLMs work” while providing absolutely no detail of your own, and reporting our regulars for “Civility” when they rightly called you out for being a fucking idiot who’s way out of their depth
Well… I do agree with you but human brains are basically big prediction engines that use lookup tables, experience, to navigate around life. Obviously a super simplification, and LLMs are nowhere near humans, but it is quite a step in the direction.
Why is that a criticism? This is how it works for humans too: we study, we learn the stuff, and then try to recall it during tests. We’ve been trained on the data too, for neither a human nor an ai would be able to do well on the test without learning it first.
This is part of what makes ai so “scary” that it can basically know so much.
Because a machine that “forgets” stuff it reads seems rather useless… considering it was a multiple choice style exam and, as a machine, Chat GPT had the book entirely memorized, it should have scored perfect almost all the time.
I feel like this exposes a fundamental misunderstanding of how LLMs are trained.
LLMs know nothing. literally. they cannot.
Yeah but neither did Socrates
but he at least was smug about it
I guess it comes down to a philosophical question as to what “know” actually means.
But from my perspective is that it certainly knows some things. It knows how to determine what I’m asking, and it clearly knows how to formulate a response by stitching together information. Is it perfect? No. But neither are humans, we mistakenly believe we know things all the time, and miscommunications are quite common.
But this is why I asked the follow up question…what’s the effective difference? Don’t get me wrong, they clearly have a lot of flaws right now. But my 8 year old had a lot of flaws too, and I assume both will get better with age.
no, it doesn’t, and it’s not a philosophical question (and neither is this a question of philosophy).
the software simply has no cognitive capabilities.
I’m not sure I agree, but then it goes to my second question:
What’s the effective difference?
don’t know why you got downvoted, an LLM is essentially a chinese room, and whether such a room “knows” is still the question.
no, it fucking isn’t. (see the postscript in linked article.)
Thanks for the link, that’s a fascinating article.
The thought experiment (I really liked it) has convinced me that an LLM cannot learn meaning the same way a human does.
But two counter arguments arise: first - does it matter? If the only interaction is through thai text, how could the difference between understanding the meaning of Thai text and simple text completion through infinite studying of Thai books be asserted? And second - how is this changed by multimodal models? The author explicitly states that all images are removed from the library and, when asking others on their opinions of the thought experiment, “I’d look for an encyclopedia with images” is considered cheating. That means the author considers images as a weak point of the thought experiment. If the presence of other media did not change the outcome they would not have to be excluded. And if multi modal models change your opinion is that not simply because you underestimated how much you can do with infinite time in a Thai library? What is the fundamental difference between text and an image?
don’t compare your child to a chatbot wtf
The dehumanization that happens just because people think LLMs are impressive (they are, just not that impressive) is insane.
Dont anthropomorphise. There is quite the difference between a human and an advanced lookuptable.
I absolutely agree. However, if you think the LLMs are just fancy LUTs, then I strongly disagree. Unless, of course, we are also just fancy LUTs.
You ever meet an ai researcher with a background in biology? I’ve discussed this stuff with one. She disagrees with Turing about machines thinking including when ai is in the picture. They process information very differently from how biology does
This is a vague non answer, although I agree it’s done very differently because our process is biological and ai is not.
But as I asked elsewhere, what’s the effective difference?
so to summarize, your only contributions to this thread are to go “well uh you just don’t know how LLMs work” while providing absolutely no detail of your own, and reporting our regulars for “Civility” when they rightly called you out for being a fucking idiot who’s way out of their depth
how fucking embarrassing for you
ah, a civility connoisseur.
on the topic of which, this crossed my feed earlier
Well… I do agree with you but human brains are basically big prediction engines that use lookup tables, experience, to navigate around life. Obviously a super simplification, and LLMs are nowhere near humans, but it is quite a step in the direction.
@phoenixz @Soyweiser “Let’s redefine what it means to be human, so we can say the LLM is human” have you bumped your head?