why is it assumed that this isn’t what human reasoning consists of?
Because science doesn’t work work like that. Nobody should assume wild hypotheses without any evidence whatsoever.
mfed1122@discuss.tchncs.de 21 hours ago
This sort of thing has been published a lot for awhile now, but why is it assumed that this isn’t what human reasoning consists of? Isn’t all our reasoning ultimately a form of pattern memorization? I sure feel like it is. So to me all these studies that prove they’re “just” memorizing patterns don’t prove anything, unless coupled with research on the human brain to prove we do something different.
why is it assumed that this isn’t what human reasoning consists of?
Because science doesn’t work work like that. Nobody should assume wild hypotheses without any evidence whatsoever.
Sorry, I can see why my original post was confusing, but I think you’ve misunderstood me. I’m not claiming that I know the way humans reason. In fact you and I are on total agreement that it is unscientific to assume hypotheses without evidence. This is exactly what I am saying is the mistake in the statement “AI doesn’t actually reason, it just follows patterns”. That is unscientific if we don’t know whether or “actually reasoning” consists of following patterns, or something else. As far as I know, the jury is out on the fundamental nature of how human reasoning works. It’s my personal, subjective feeling that human reasoning works by following patterns. But I’m not saying “AI does actually reason like humans because it follows patterns like we do”. Again, I see how what I said could have come off that way. What I mean more precisely is:
It’s not clear whether AI’s pattern-following techniques are the same as human reasoning, because we aren’t clear on how human reasoning works. My intuition tells me that humans doing pattern following seems equally as valid of an initial guess as humans not doing pattern following, so shouldn’t we have studies to back up the direction we lean in one way or the other?
I think you and I are in agreement, we’re upholding the same principle but in different directions.
You’ve hit the nail on the head.
Personally, I wish that there’s more progress in our understanding of human intelligence.
Their argument is that we don’t understand human intelligence so we should call computers intelligent.
That’s not hitting any nail on the head.
This. Same with the discussion about consciousness. People always claim that AI is not real intelligence, but no one can ever define what real/human intelligence is. It’s like people believe in something like a human soul without admitting it.
Humans apply judgment, because they have emotion. LLMs do not possess emotion. Mimicking emotion without ever actually having the capability of experiencing it is sociopathy. An LLM would at best apply patterns like a sociopath.
But for something like solving a Towers of Hanoi puzzle, which is what this study is about, we’re not looking for emotional judgements - we’re trying to evaluate the logical reasoning capabilities. A sociopath would be equally capable of solving logic puzzles compared to a non-sociopath. In fact, simple computer programs do a great job of solving these puzzles, and they certainly have nothing like emotions. So I’m not sure that emotions have any relevance to the topic of AI or human reasoning and problem solving.
As for analogizing LLMs to sociopaths, I think that’s a bit odd too. The reason why we (stereotypically) find sociopathy concerning is that a person has their own desires which, in combination with a disinterest in others’ feelings, incentivizes them to be deceitful or harmful in some scenarios. But LLMs are largely designed specifically as servile, having no will or desires of their own. If people find it concerning that LLMs imitate emotions, then I think we’re giving them far too much credit as sentient autonomous beings - and this is coming from someone who thinks they think in the same way we do! The think like we do, IMO, but they lack a lot of the other subsystems that are necessary for an entity to function in a way that can be considered as autonomous/having free will/desires of its own choosing, etc.
simple computer programs do a great job of solving these puzzles, and they certainly have nothing like emotions.
Yes, this shit is very basic. Not at all “intelligent.”
But reasoning about it is intelligent, and the point of this study is to determine the extent to which these models are reasoning or not. Which again, has nothing to do with emotions. And furthermore, my initial question about whether or not pattern following should automatically be disqualified as intelligence, as the person summarizing this study (and notably not the study itself) claims, is the real question here.
In fact, simple computer programs do a great job of solving these puzzles…
If an AI is trained to do this, it will be very good, like for example when a GPT-2 was trained to multiply numbers up to 20 digits.
nitter.net/yuntiandeng/…/1836114419480166585#m
Here they do the same test to GPT-4o, o1-mini and o3-mini
That just means they’d be great CEOs!
LesserAbe@lemmy.world 20 hours ago
Agreed. We don’t seem to have a very cohesive idea of what human consciousness is or how it works.
technocrit@lemmy.dbzer0.com 18 hours ago
… And so we should call machines intelligent? That’s not how science works.
LesserAbe@lemmy.world 14 hours ago
I think you’re misunderstanding the argument. I haven’t seen people here saying that the study was incorrect so far as it goes, or that AI is equal to human intelligence. But it does seem like it has a kind of intelligence. “Glorified auto complete” doesn’t seem sufficient, because it has a completely different quality from any past tool. Supposing yes, on a technical level the software pieces together probability based on overtraining. Can we say with any precision how the human mind stores information and how it creates intelligence? Maybe we’re stumbling down the right path but need further innovations.