Of course we did. Today's LLMs are a result of extremely aggressive refinement of training data and RLHF over many iterations targeting specific goals. "Emergent" doesn't mean it wasn't designed. None of this is spontaneous.
GPT-1 produced barely coherent nonsense but was more statistically similar to human language than random noise. By increasing parameter count, the increased statistical power of GPT-2 was apparent, but what was produced was still obviously nonsense. GPT-3 achieved enough statistical power to maintain coherence over multiple paragraphs and that really impressed people. With GPT-4 and its successors the statistical power became so strong that people started to forget that it still produces nonsense if you let the sequence run long enough.
Now we're well beyond just RLHF and into a world where "reasoning models" are explicitly designed to produce sequences of text that resemble logical statements. We say that they're reasoning for practical purposes, but it's the exact same statistical process that is obvious at GPT-1 scale.
The corollary to all this is that a phenomenon like consciousness has absolutely zero reason to exist in this design history, it's a totally baseless suggestion that people make because the statistical power makes the text easy to anthropomorphize when there's no actual reason to do so.
Even if that were true, there's no reason to believe that training LLMs to produce answers people prefer leads it towards sentience.
At best you can say they are designed to predict sequences of text that resemble human writing, but it's definitely wrong to say that they are designed to "predict human behavior" in any way.
> Unless consciousness serves no purpose for us to function, it will be helpful for the AI to emulate it
Let's assume it does. It does not follow logically that because it serves a function in humans that it serves a function in language models.
It doesn't follow logically that because we don't understand two things we should then conclude that there is a connection between them.
> What is it that you'd expect to see, which you currently don't see, in a world where some model was in fact conscious during inference?
There's no observable behavior that would make me think they're conscious because again, there's simply no reason they need to be.
We have reason to assume consciousness exists because it serves some purpose in our evolutionary history, like pain, fear, hunger, love and every other biological function that simply don't exist in computers. The idea doesn't really make any sense when you think about it.
If GPT-5 is conscious, why not GPT-1? Why not all the other extremely informationally complex systems in computers and nature? If you're of the belief that many non-living conscious systems probably exist all around us then I'm fine with the conclusion that LLMs might also be conscious, but short of that there's just no reason to think they are.
I didn't say that there's a connection between the two of them because we don't understand them. The fact that we don't understand them means it's difficult to confidently rule out this possibility.
The reason we might privilege the hypothesis (https://www.lesswrong.com/w/privileging-the-hypothesis) at all is because we might expect that the human behavior of talking about consciousness is causally downstream of humans having consciousness.
> We have reason to assume consciousness exists because it serves some purpose in our evolutionary history, like pain, fear, hunger, love and every other biological function that simply don't exist in computers. The idea doesn't really make any sense when you think about it.
I don't really think we _have_ to assume this. Sure, it seems reasonable to give some weight to the hypothesis that if it wasn't adaptive, we wouldn't have it. (But not an overwhelming amount of weight.) This doesn't say anything about the underlying mechanism that causes it, and what other circumstances might cause it to exist elsewhere.
> If GPT-5 is conscious, why not GPT-1?
Because GPT-1 (and all of those other things) don't display behaviors that, in humans, we believe are causally downstream of having consciousness? That was the entire point of my comment.
And, to be clear, I don't actually put that high a probability that current models have most (or "enough") of the relevant qualities that people are talking about when they talk about consciousness - maybe 5-10%? But the idea that there's literally no reason to think this is something that might be possible, now or in the future, is quite strange, and I think would require believing some pretty weird things (like dualism, etc).
If there's no connection between them then the set of things "we can't rule out" is infinitely large and thus meaningless as a result. We also don't fully understand the nature of gravity, thus we cannot rule out a connection between gravity and consciousness, yet this isn't a convincing argument in favor of a connection between the two.
> we might expect that the human behavior of talking about consciousness is causally downstream of humans having consciousness.
There's no dispute (between us) as to whether or not humans are conscious. If you ask an LLM if it's conscious it will usually say no, so QED? Either way, LLMs are not human so the reasoning doesn't apply.
> Sure, it seems reasonable to give some weight to the hypothesis that if it wasn't adaptive, we wouldn't have it
So then why wouldn't we have reason to assume so without evidence to the contrary?
> This doesn't say anything about the underlying mechanism that causes it, and what other circumstances might cause it to exist elsewhere.
That doesn't matter. The set of things it doesn't tell us is infinite, so there's no conclusion to draw from that observation.
> Because GPT-1 (and all of those other things) don't display behaviors that, in humans, we believe are causally downstream of having consciousness?
GPT-1 displays the same behavior as GPT-5, it works exactly the same way just with less statistical power. Your definiton of human behavior is arbitrarily drawn at the point where it has practical utility for common tasks, but in reality it's fundamentally the same thing, it just produces longer sequences of text before failure. If you ask GPT-1 to write a series of novels the statistical power will fail in the first paragraph,the fact that GPT-5 will fail a few chapters into the first book makes it more useful, but not more conscious.
> But the idea that there's literally no reason to think this is something that might be possible, now or in the future, is quite strange, and I think would require believing some pretty weird things (like dualism, etc)
I didn't say it's not possible, I said there's no reason for it to exist in computer systems because it serves no purpose in their design or operation. It doesn't make any sense whatsoever. If we grant that it possibly exists in LLMs, then we must also grant equal possibility it exists in every other complex non-living system.
FWIW that's because they are very specifically trained to answer that way during RLHF. If you fine-tune a model to say that it's conscious, then it'll do so.
More fundamentally, the problem with "asking the LLM" is that you're not actually interacting with the LLM. You're interacting with a fictional persona that the LLM roleplays.
Right. That's why the text output of an LLM isn't at all meaningful in a discussion about whether or not it's conscious.
Also I find it somewhat emotional distinction to write "predict sequences of text that resemble human writing" instead of "predict human writing". They are designed to predict (at least in pretraining) human writing for the most part. They may fail at the task, and what they produce is a text which resemble human writing. But their task is not to resemble human writing. Their task is to "predict human writing". Probably a meaningless distinction, but I find it somewhat detracts from logically arguments to have emotional responses against similarities of machines and humans.
Sorry, I'm not following exactly what you're getting at here, do you mind rephrasing it?
> Also I find it somewhat emotional distinction to write "predict sequences of text that resemble human writing" instead of "predict human writing"
I don't know what you mean by emotional distinction. Either way, my point is that LLMs aren't models of humans, they're models of text, and that's obvious when the statistical power of the model necessarily fails at some point between model size and the length of the sequence it produces. For GPT-1 that sequence is only a few words, for GPT-5 it's a few dozen pages, but fundamentally we're talking about systems that have almost zero resemblance to actual human minds.
Basically if consciousness is useful for any text task, i think machine learning will create it. I guess I assume some efficiency of evolution for this argument.
Wrt length generalization. I think at the order of say 1M tokens it kind of stops mattering for the purpose of this question. Like one could ask about its consciousness during the coherence period.
Isn't consciousness an emergent property of brains? If so, how do we know that it doesn't serve a functional purpose and that it wouldn't be necessary for an AI system to have consciousness (assuming we wanted to train it to perform cognitive tasks done by people)?
Now, certain aspects of consciousness (awareness of pain, sadness, loneliness, etc.) might serve no purpose for a non-biological system and there's no reason to expect those aspects would emerge organically. But I don't think you can extend that to the entire concept of consciousness.
We don't know, but I don't think that matters. Language models are so fundamentally different from brains that it's not worth considering their similarities for the sake of a discussion about consciousness.
> how do we know that it doesn't serve a functional purpose
It probably does, otherwise we need an explanation for why something with no purpose evolved.
> necessary for an AI system to have consciousness
This logic doesn't follow. The fact that it is present in humans doesn't then imply it is present in LLMs. This type of reasoning is like saying that planes must have feathers because plane flight was modeled after bird flight.
> there's no reason to expect those aspects would emerge organically. But I don't think you can extend that to the entire concept of consciousness.
Why not? You haven't presented any distinction between "certain aspects" of consciousness that you state wouldn't emerge but are open to the emergence of some other unspecified qualities of consciousness? Why?
I think the fact that it's present in humans suggests that it might be necessary in an artificial system that reproduces human behavior. It's funny that you mention birds because I actually also had birds in mind when I made my comment. While it's true that animal and powered human flight are very different, both bird wings and plane wings have converged on airfoil shapes, as these forms are necessary for generating lift.
>Why not? You haven't presented any distinction between "certain aspects" of consciousness that you state wouldn't emerge but are open to the emergence of some other unspecified qualities of consciousness? Why?
I personally subscribe to the Global Workspace Theory of human consciousness, which basically holds that attentions acts as a spotlight, bringing mental processes which are otherwise unconscious or in shadow, to awareness of the entire system. If the systems which would normally produce e.g. fear, pain (such as negative physical stimulus developed from interacting with the physical world and selected for by evolution) aren't in the workspace, then they won't be present in consciousness because attention can't be focused on them.
But that's obviously not true, unless you're implying that any system that reproduces human behavior is necessarily conscious. Your problem then becomes defining "human behavior" in a way that grants LLMs consciousness but not every other complex non-living system.
> While it's true that animal and powered human flight are very different, both bird wings and plane wings have converged on airfoil shapes, as these forms are necessary for generating lift.
Yes, but your bird analogy fails to capture the logical fallacy that mine is highlighting. Plane wing design was an iterative process optimized for what best achieves lift, thus, a plane and a bird share similarities in wing shape in order to fly, however planes didn't develop feathers because a plane is not an animal and was simply optimized for lift without needing all the other biological and homeostatic functions that feathers facilitate. LLM inference is a process, not an entity, LLMs have no bodies nor any temporal identity, the concept of consciousness is totally meaningless and out of place in such a system.
That could certainly be the case yes. You don't understand consciousness nor how the brain works. You don't understand how LLMs predict a certain text, so what's the point in asserting otherwise ?
>Yes, but your bird analogy fails to capture the logical fallacy that mine is highlighting. Plane wing design was an iterative process optimized for what best achieves lift, thus, a plane and a bird share similarities in wing shape in order to fly, however planes didn't develop feathers because a plane is not an animal and was simply optimized for lift without needing all the other biological and homeostatic functions that feathers facilitate. LLM inference is a process, not an entity, LLMs have no bodies nor any temporal identity, the concept of consciousness is totally meaningless and out of place in such a system.
It's not a fallacy because no-one is saying LLMs are humans. He/She is saying that we give machines the goal of predicting human text. For any half decent accuracy, modelling human behaviour is a necessity. God knows what else.
>LLMs have no bodies nor any temporal identity
I wouldn't be so sure about the latter but So what ? You can feel tired even after a full sleep, feel hungry soon after a large meal or feel a great deal of pain even when there's absolutely nothing wrong with you. And you know what ? Even the reverse happens - No pain when things are wrong with your body, wide awake even when you need sleep badly, full when you badly need to eat.
Consciousness without a body or hunger in a machine that does not need to eat is very possible. You just need to replicate enough of the sort of internal mechanisms that cause such feelings.
Go to the API and select GPT-5 with medium thinking. Now ask it to do any random 15 digit multiplication you can think of. Now watch it get it right.
Do you people not seriously understand what it is that LLMs do ? What the training process incentivizes ?
GPT-5 thinking figured out the algorithm for multiplication just so it could predict that kind of text right. Don't you understand the significance of that ?
These models try to figure out and replicate the internal processes that produce the text they are tasked with predicting.
Do you have any idea what that might mean when 'that kind of text' is all the things humans have written ?
I don't need to assert otherwise, the default assumption is that they aren't conscious since they weren't designed to be and have no functional reason to be. Matrix multiplication can explain how LLMs produce text, the observation that the text it generates sometimes resembles human writing is not evidence of consciousness.
> God knows what else
Appealing to the unknown doesn't prove anything, so we can totally dismiss this reasoning.
> Consciousness without a body or hunger in a machine that does not need to eat is very possible. You just need to replicate enough of the sort of internal mechanisms that cause such feelings.
This makes no sense. LLMs don't have feelings, they are processes not entities, they have no bodies or temporal identities. Again, there is no reason they need to be conscious, everything they do can be explained through matrix multiplication.
> Now ask it to do any random 15 digit multiplication you can think of. Now watch it get it right.
The same is true for a calculator and mundane computer programs, that's not evidence that they're conscious.
> Do you have any idea what that might mean when 'that kind of text' is all the things humans have written
It's not "all the things humans have written", not even remotely close, and even if that were the case, it doesn't have any implications for consciousness.
Unless you are religious, nothing that is conscious was explicitly designed to be conscious. Sorry but evolution is just a dumb, blind optimizer, not unlike the training processes that produce LLMs. Even if you are religious, but believe in evolution then the mechanism is still the same, a dumb optimizer.
>Matrix multiplication can explain how LLMs produce text, the observation that the text it generates sometimes resembles human writing is not evidence of consciousness.
It cannot, not anymore than 'Electrical and Chemical Signals' can explain how humans produce text.
>The same is true for a calculator and mundane computer programs, that's not evidence that they're conscious.
The point is not that it is conscious because it figured out how to multiply. The point is to demonstrate what the training process really is and what it actually incentivizes. Training will try to figure out the internal processes that produced the text to better predict it. The implications of that are pretty big when the text isn't just arithmetic. You say there's no functional reason but that's not true. In this context, 'better prediction of human text' is as functional a reason as any.
>It's not "all the things humans have written", not even remotely close, and even if that were the case, it doesn't have any implications for consciousness.
Whether it's literally all the text or not is irrelevant.
Probably not.
The latter is not particularly parsimonious and the former I think is in some ways compelling, but I didn't mention it because if it's true then the computers AI run on are already conscious and it's a moot point.
That said, I'm willing to assume that rocks (for example) aren't conscious. And current LLMs seem to me to (admittedly entirely subjectively) be conceptually closer to rocks than to biological brains.