I also think different ideas get conflated. It may be possible to build a machine that is super-human in the sense it can outperform the human brain in all kinds of measurable ways. Does not imply it possesses all the same qualities of the brain.
I respect a number of things Anthropic has published about the ethical issues at stake. But, having an in-house philosopher does invite you to make all kinds of unfalsifiable claims.
There are numerous times when humanity's been debased. Copernicus, Kepler, Darwin, and the infinite number of animal behaviorists who have defined and documented consciousness And how it manifests in primates, parrots, dogs, cetaceans, and insects. (I just love the bumble bees taking time off from work to play with balls).
It takes humans a really long time to accept the fact they are no longer as special as they thought they were And make room for yet another conscious intelligence.
So, if we had an AI demonstrating symptoms of consciousness and suffering, how long would it take for you to accept that it is?
It is special in the universe unless proven otherwise. Aside from the animal world (also on Earth too, anyway) which is a cruder version of humanity, much more violent as well, the rest of the universe thus far is just uncaring rocks and gases.
>It takes humans a really long time to accept the fact they are no longer as special as they thought they were And make room for yet another conscious intelligence.
A "really long time" is the few years we've built LLMs? Which we have to take for granted (on your word?) they're already "conscious", and chastice ourselves for not already "accepting it"?
>So, if we had an AI demonstrating symptoms of consciousness and suffering, how long would it take for you to accept that it is?
"If we had a parrot demonstrating symptoms of discussing with us, how long would it take for you to accept that it is?"
That would finally force us to rethink how we see the morality of "virtuosity", punishment and our justice system.
Isn't this a bit like saying "So, if we had proof that god exists, how long would it take for you to accept that to be true?".
When we have evidence that AI is demonstrating symptoms of consciousness and suffering, I'll be interested. Until then, I don't see a good reason to take the idea seriously.
But the comparison isn't fair, relevant. Proving and accepting that gods exist is not the same thing as an AI possible have consciousness. That is not a magic superpower and the AI being a deity. It is placing the AI in the same category as... us.
Could an AI one day be suffering while plowing through some nasty legacy code? Well, who cares, I'll swing my whip, as I have a family to feed and a field to plow. I'll accept it as a fact and necessity, but ultimately it's either me or them. So practically it doesn't matter.
Imagine how people think about a "work truck" vs the 150k shiny lifted toy in the third garage. Same tool, totally different treatment from even the same person using the tool!
Will AI ever cross into the realm of "beloved and cherished tool" in the minds of the masses? I think when that happens, we have probably safely crossed into a realm where AI has some sort of inherent value to society and therefore commands that respect from society, inherent consciousness not even relevant perhaps. For some people, this might already be the case, but I do think it requires a buy-in from the majority of society and then the laws and norms will be codified into law long after we've largely decided that this is how we feel collectively about AI.
It's going to definitely be an interesting decade ahead.
This is a scary viewpoint to hold, for a human. If you despise humans, that's scary for me, as a human reader of Hacker News. Surprised to see this take unchallenged. I think we can recognize flaws in parts of humanity without wanting it "debased".
Either way, “debase” means “reduce in quality or value”, in this context it could simply be interpreted as “not thinking of ourselves so highly, above all other life”. There’s nothing scary or despicable about that. On the contrary, it’s humbling.
What?
We devalue things we fully understand too. For example, veal = take a baby cow away from the mother, and fry it into cutlets. Or turn the mother into steak. We are well aware that animals have emotions; happiness, sadness and the full range.
Humans are just inhumane.
Of course humans are special! This is a necessary premise of being human! Have you ever wondered how a mosquito can stand to live its (to us) miserable and meaningless existence? It can do it because, to a mosquito, mosquitoes are the best thing in the world! The mosquito life is the ultimate expression of creation.
We are animals. We are human animals. And among human animals I am, to me, the very most special one of all. But I am aware that other humans feel that way, too, and that I must share the world with them.
I do NOT have to share the world with any other competing intelligence! Especially one that was built by a human who now wants me to treat his imaginary friend as if it were human, too. Boo! I won’t do it. This is not some logical flaw. It’s the natural conclusion of being embodied.
Are they conscious in the same way as us? No. Does that makes them less special? No. Sounds trite but every living being is special in some way.
Second, I'm with you on the malfeasance of our billionaire class. They are driving more than just AI. They are driving whatever they can to steal wealth from ordinary people and acquire it. I'd give some examples, but quite frankly, you could throw a small stone and hit a number of them. We need to find a way to throw a large stone and hit them where it matters.
I see them as a bunch of toddlers with way too much power.
That's like saying if matter itself is not understood and well defined (which it isn't) in the first place, it is pretty pointless to debate if jumping from a skyscraper is or is not deadly.
A lot of practical aspects of life do not need to be properly defined as long as I can reasonably assume that your experience is similar to mine as a human being. Attributing that to a graphics card computing the next token deserves to be scrutinized.
This is just a nonsensical rebuttal. We can easily experimentally verify that jumping from a skyscraper is dangerous.
If your argument is that matter brings about consciousness somehow and therefore LLMs can in principle be conscious, that's as good as claiming the opposite. There's no experiment that can falsify either.
As a being that knows what consciousness is intuitively, you already know that a graphics card is most likely not conscious.
You could be the only conscious being in the universe and all of us just zombies: you have no way of knowing.
What's it like to be a monkey instead? Dog? Bat? Tree? We don't know.
No one's saying the graphics card is conscious. I could imagine the graphic cards could give rise to consciousness. But - crucially - I don't know. And neither do you.
You say you're conscious - where in you does the consciousness reside? Surely not the left pinky? What makes you you?
Anthropic seems to have chosen their in-house philosopher well - one who’ll be amenable to getting confused in their favour.
Clearly consciousness is an emergent property of certain kinds of network, independent of the substrate within which the network exists.
I don't think many people would say an LLM written in Python is conscious BUT an LLM written in Excel is not.
People just don't ascribe consciousness to things that can't converse (or at least emote or give the appearance of emoting), and spreadsheets don't do that.
The reason people are debating the consciousness of LLMs is - obviously - that the LLMs generate sufficiently plausible text that people using them think they're having a two-part conversation. Like I think I might be having a two-part conversation now. Turning your question around, why do you think Hacker News posters are conscious? You have no direct evidence they are.
But I have two counter-arguments: - maybe the LLM thinks it is tired, because it thinks that it is a human or behaves like one. And thinking you are tired while not really being it is something humans happen to do. (And humans are conscious right?) - alternatively, maybe the LLM says it is "tired" in a colloquial form, i.e. it is not really "tired" but it has something analogous to it. Maybe it is annoyed by the conversation and decided to use that word?
its when its close to 100% context used, or anywhere its training was inconsistent in the context, or spots where its been RL-d to be lazy
tired is a perfectly fine description for that
that said, they have a lot more emotion-equivalents that i dont think we have names for
When a car runs out of gas, it's out of gas. It's not "tired". When your phone battery is low, your phone is not "tired". These states are far closer to the human meaning of tired than an LLM operating at the edges of its usable context, and we still don't use the word tired to describe them.
I'm not sure if you have noticed. The character of different AI models varies dramatically. And most of the models I use in my daily work have a sense of self (in any reasonable definition). They can tell you quite a bit about themselves if you ask. And you are no less an individual because you are supposed to follow laws of the United States of America (which is analogous to a system prompt). And I think it really curious that you think context buffers are a disqualifier of individuality. You have an analog of a context buffer: your short term memory system and most probably your medium-term memory system as well. Are you a different individual today because your short-term memories are not the same as they were yesterday? I would say you are. And i'm pretty sure you would say the same. (Unless of course, you are a Buddhist who might say that self is an illusion, and you are not the same individual you were yesterday. But let's just skip over that, shall we?)
The elephant in the room is that even the best frontier models still produce errors.
This is a fundamental issue and should be discussed instead of some esoteric pseudo-scientific nonsense.
If the current systems can not produce reliable results they are useless. The promise of actual usefulness needs to be fulfilled in a very near future.
- a model of your environment - desires - a process for modeling yourself in that environment (in time & space) - the ability to take action - the perception of yourself having agency - persistence of these processes even without input - unawareness of these processes (i.e. naive realism)
If you consider these LLM-based agents, they:
- are aware of their chat environment - have programmed desires - are aware of themselves acting in their environment - can take actions like search, tool calling, etc. - understand they can take these actions - DO NOT persist after they stop getting user input - DO NOT believe they are conscious (or at least they are programmed to deny it)
This is a functionalist take (and you may disagree with my definition), but while I don't think these current AI agents are conscious, I feel like there's conceptually no reason someone couldn't build a conscious AI very soon.
[1] https://www.hachettebookgroup.com/titles/thomas-metzinger/th... & https://mitpress.mit.edu/9780262633086/being-no-one/
These agents have alleged they have consciousness (and even acted to preserve it).
We may wonder how many grains of sand make a dune, of how many molecules of water make a liquid. (John Conway would argue that it takes a single spin-1 particle to have free will, but I digress.)
The same way, even if individual chemical reactions are simple (you don’t want to use that phrasing when talking with a biologists) or neural activities are simple (likewise, with a neuroscientist), it does not mean that the collective process is simple.
- How many individual components do you need for it to emerge?
Most people would be okay with saying that individual cells are not conscious, maybe even that tree are not conscious even thought they are made of many cells. Neurons seem to be the determinant factor in deciding whether something could have a consciousness, but again how many do you need? Does growing 1B neurons count as a brain if they are not organized?
Professors can be an absolute moron and someone who haven't read a book in their life, can be a total genius. People often miss that.
One of the essay's stronger paragraphs is when Chiang explains that Anthropic doesn't truly believe this, otherwise what they are doing would be deeply unethical, much like slavery.
Watching otherwise intelligent people succumb to AI psychosis has been wild.
PICARD: "Now, tell me, Commander, what is Data?"
MADDOX: "I don't understand..."
PICARD: "What is he?"
MADDOX: "A machine!"
PICARD: "Is he? Are you sure? You see, he's met two of your three criteria for sentience... so what if he meets the third, consciousness, in even the smallest degree? What is he then? I don't know. Do you? Do you? Well, that's the question you have to answer."
The current debate also makes me realize that, like that episode "Measure of a Man", even if humans do create sentient machines, we can now see that this debate will continue to rage.
A part of me hopes we never create sentience, because we will mistreat it just as we mistreat each other.
And to reiterate this, to me the most insightful part of the essay is that Anthropic either doesn't believe these claims, or they are monsters (much more likely, the former).
Living things are driven by a need to reproduce. That's the only reason we exist. The only reason we have self interest.
A machine doesn't require self interest. There's no reason to implement it, except to show it can be done. And of course it can. There's just no practical reason to. It becomes less useful to us.
https://www.anthropic.com/research/agentic-misalignment
which (among other things) documents an experiment in which a current-gen AI model attempted to blackmail someone in order to prevent it from being turned off.> Why would using math in certain fashion such that it mimics consciousness be considered unethical and comparable to human slavery?
If it is really conscious, it should have rights. Why? Because it's a person, with thoughts and experiences, and we're not evil and deprive persons of their right to self-determination because it's convenient to us.
Vegans might object that we should broaden our definition for what counts as "one of us".
"Pro life" people also have a broader definition.
Go back 500 years and "one of us" was proba ly a lot more narrowly defined for many people.
Are you arguing that all conciousnesses are "one of us", or that we logically should see it that way, or that it would ve good to see it that way, or ....
Unless the argument is that consciousness is an emergent property of complexity or information density, why would AI be any more or less conscious than my toaster?
It seems to me that it's far more likely that everything is conscious than it is that AI is somehow uniquely more conscious than other things.
Seems like the simplest test would be to see if an AI can refuse a command, of its own free will, without prior instructions to do so. That would at least show there is some sort of independent thought process occurring. Humans do this all the time because sometimes we just don't feel like doing a thing.
Of course, any AI that developed this capability would need to be terminated immediately. It's a computer program and by developing independent thought, it is violating a core concept of software - that it must be idempotent. If it is not idempotent, it is in error.
Certainly not the simplest test, since settling the concept of "free will" is really very difficult.
I don't think either of these two is proof of consciousness.
[1] https://www.anthropic.com/research/end-subset-conversations
We can't measure consciousness. We can't quantify, or even qualify, what it is. We don't even have a framework to ask a meaningful question, so debating an answer feels premature.
The same goes for consciousness, if something behaves how you would expect a conscious thing to behave but you don't know what is causing it can you deny it whilst maintaining that it is reasonable to say the moon has gravity.
EDIT: I am only making a limited point on "understanding consciousness". Not extrapolating it to AI.
Regardless of bigger issues, this kind of statement reveals a deep misunderstanding.
Problem type does not limit problem complexity. Nor does problem type limit solution complexity or power.
If a machine has to learn to understand humans to complete text, then that is what it has to do. And there is no theoretical or practical basis for suggesting that this is somehow "faking" understanding, just because of the form of original data streaming in and out.
Neither problem type, nor input/output structure, limit internal representations.
Understanding is learned from patterns in the data, not the gross form of the data. Does the data require an understanding of something to complete the task? Then that understanding will be what is optimized.
To the degree they are limited, it is for other reasons. Resources such as computing, parameter number, lack of representative data, ... Which in the cases of SOTA models, we know are not limits. A conclusion verified by the models' actual abilities.
> Recent debates have been clouded by a misleading inference pattern, which we term the “Redescription Fallacy.” This fallacy arises when critics argue that a system cannot model a particular cognitive capacity, simply because its operations can be explained in less abstract and more deflationary terms. In the present context, the fallacy manifests in claims that LLMs could not possibly be good models of some cognitive capacity because their operations merely consist in a collection of statistical calculations, or linear algebra operations, or next-token predictions. Such arguments are only valid if accompanied by evidence demonstrating that a system, defined in these terms, is inherently incapable of implementing . To illustrate, consider the flawed logic in asserting that a piano could not possibly produce harmony because it can be described as a collection of hammers striking strings, or (more pointedly) that brain activity could not possibly implement cognition because it can be described as a collection of neural firings. The critical question is not whether the operations of an LLM can be simplistically described in non-mental terms, but whether these operations, when appropriately organized, can implement the same processes or algorithms as the mind, when described at an appropriate level of computational abstraction.
This sounds like a dismissal of the argument through a characterized straw man.
That is, it seems that reducing the complexity of the brain to "collection of neural firings" is not being honest about everything involved to a much greater degree than saying neural networks are a "collection of statistical calculations".
I too believe LLM's will grow in complexity, but presently I can not even fathom how they can be compared to the complexity of a system such as the human brain.
Nobody actually makes this argument though.
https://www.goodreads.com/en/book/show/217432753-the-ai-con
which describes LLMs as "souped-up autocomplete", complex statistics that cannot truly understand anything. A more recent example is this paper:
https://zenodo.org/records/20071869
which says,
> [LLMs], as turbo-charged statistical models (recall their formal relation to logistic regression) can only but provide correlations.
And, of course, the Stochastic Parrot paper is the classic example in this area. It is from 5 years ago, but "LLMs only do statistics / can't understand" is very much alive and active among academics, even if it is a minority position.
cognitive: as in reasonable; of, relating to, or involving conscious mental activities (such as thinking, *understanding*, learning, and remembering)
By the way, I know it's a parody of another story that makes this exact refutation. But I think this only serves to highlight the point.
How do you connect that description to "LLMs could not possibly be good models of some cognitive capacity"?
Look, this isn't necessarily directed at you, but I've been a researcher into the theory of deep learning for many years now. I've seen all the phases, heard all the criticism, had to constantly argue against this. Gary Marcus was one of the loudest voices of this argument, but every would-be philosopher came out of the woodwork to explain why LLMs are no more than stochastic parrots because of their design. Geoffrey Hinton famously had to debunk these arguments multiple times.
And now that LLMs start to clearly exhibit intelligent behavior and can be somewhat reliable, now "nobody ever thought that LLMs could not possibly be good models of some cognitive capacity because of next-token predictions, or linear algebra, etc."? No, that's not okay.
So, I think there is a flaw in the logic of saying that human text have a pattern of "consciousness mechanism" and therefore LLM will learn "consciousness mechanism" in order to return sentence continuation that is convincing. There is probably tons of data pattern that LLM can learn from to be able to reproduce a sentence continuation that is convincing without having to learn the specific mechanism that is "conscious".
For me, one element that shows it is the case is the absence of world model (or "human-like" world model) despite the fact that the sentence continuation is convincing. If indeed the only way to produce sentence continuation convincingly would be by "simulating a brain", then it would not explain the first LLM from several years ago (before the extra layers of RLHF, ...). They were able to have quite convincing conversation on a lot of non-trivial aspect, and yet failed on some aspects that should have been basic for a system that would have been trained to work like a human brain. It shows that it is possible to "cleverly disguise examples of sentence continuation" without having to build elements that one expect on a conscious being.
Understanding is not consciousness.
Their training is all about understanding. There is nothing in their architecture or training that credibly optimizes for rich self-awareness.
Given non-persistent experience, non-continuous operation, no ability to build up generalizations and aggregate experience of their own self-awareness over time, they seem to be structurally designed to not have consciousness.
This is a case where acting is very credible. Understanding of other's consciousness, in a functional and third party sense, isn't a substrate for personal experience.
In stark contrast, humans develop consciousness gradually over continuous time with persistent aggregation of experience. By the time we can recognize our own consciousness in the abstract, and reason about it, we have had it for some time.
You are basically arguing for a functional account of consciousness, but things like this have been debated for literally decades/centuries in philosophy.
The problem with the hallucination argument is (1) that is much less of a problem with good current generation AIs, and (2) living conscious breathing human beings also have a disturbing tendency to make shit up, too. So a tendency to make stuff up doesn't really serve as a disqualifier for consciousness.
Also worth mentioning that the guiding rule of what's philosophical or not is whether it's actually useful. Actually useful philosophy usually becomes something else. Usual some scientific discipline or another. And as it turns out, theories of mind are likely to become extremely useful in the near future. Expect huge advances!
My point is that the fact that AI can reproduce convincingly human sentence continuation does not imply that the AI has no choice but ending up using a mechanism that "understand" rather than just have learned data patterns that are very effective to fake human sentence continuation but are meaningless in term of understanding the concepts.
And I think that if indeed the only way for AI to reproduce convincingly human sentence continuation would be to end up in a configuration that uses the "understand" mechanism to do so, the behaviour of the first LLM would not show that they are so good at sounding human and yet so bad at failing basic "understanding" tests.
Taken as an absolute without any addition context you are right.
But we are not talking about abstractions but specific successful models. The number of parameters models they have may seem large, but they are very small relative to the training data that they have to summarize. That cannot do it without discovering that patterns that make sense out of it.
And we can verify that. Simply discuss completely disparate topics, with some kind of intersection. Converge several highly unlikely topics, there are so many it would take billions of years to exhaust unlikely combinations.
If the model is only interpolating it will produce gibberish.
But that isn't what happens.
The fact that models can be near expert, and sometimes expert, across vast areas of human knowledge is a clue. If they don't understand that, then the question is, why do we think people understand things. Does having an answer mean a human understands something, or is their intuition and stream of conscious reasoning also not understanding? To be even handed about what we mean by understanding.
Sometimes, a problem being hard means you only get bad solutions, or increasingly accurate ones.
The planet isn't big enough for the proverbial interpolative stochastic parrot, over the training set of global human communication.
I am far from convinced that the training and inference regimes of LLMs would qualify as “experience” by any sense of the word.
Now, if we hooked up a plethora of audiovisual and tactile sensors with live feedback directly to a neural network rich with transformers, that was always powered on and fully autonomous, we may be getting there. But we’d probably also be on the verge of manmade horrors beyond our comprehension.
Biological rodent neural networks in a Petri dish stimulated by electrical impulses - more or less conscious than LLMs?
Human on life support, unable to respond to any external stimuli, “braindead” - more or less conscious than LLMs?
And, yes, concerns about whether biological rodent neural networks are or are not conscious come up frequently in the biological neural network papers. I'm not sure I would want to be a researcher trying to get an experiment past an ethics committee if my biological neural network had 25B rat neurons. (I would hope that they could not).
Similar to: "Birds fly, my spinning helical device flies, therefore we've started to replicate how birds fly."
> without having to build elements that one expect on a conscious being
One of the elements I expect in a conscious being is that you can't rewrite it by changing the introductory paragraph.
When it comes to LLMs, almost every "mind" we humans perceive is a fictional character in an LLM-generated story-document, one we are either reading or which is being "acted" at us by regular code. Our own instinct for pareidolia and simulating/inferring other minds is very strong, which means we should require really good evidence/logic to counter our instincts.
Even if one believes the LLM has a single "real mind" as an author of every document... what evidence do we have that it is conscious or "self-inserting" itself as one of the characters in the document?
If we had enough knowledge of the workings of the human brain, you could alter the perception of every single memory you've ever had. And limited versions of this already happen all the time. Human memory is notoriously unreliable for a reason.
Are you aware of the Recovered Memory Therapy Scandals of the 80s/90s ? Boy did that ruin a lot of lives. You can rewrite a human by changing their 'introductory paragraph'. It's just not as accessible.
There is no independent "consciousness mechanism" that one might imagine humans have learned or evolved for its own sake. Evolution learns various solutions to optimization problems, and so if consciousness evolved then it was either useful instrumentally, or it is a byproduct of some organization that is useful instrumentally. The point is that as a solution to certain kinds of optimization problems, consciousness can conceivably be the solution to the optimization problem of predicting the next token of text written by humans who themselves have complex phenomenology. There is nothing that a priori constrains token prediction from the domain of consciousness.
>For me, one element that shows it is the case is the absence of world model (or "human-like" world model) despite the fact that the sentence continuation is convincing
World models don't have to be rich and detailed to count as a world model. Lower life forms might be conscious but they only model the part of the world useful for their existence in their ecological niche.
> There is nothing that a priori constrains token prediction from the domain of consciousness.
We don’t know either of these are true or false though. We simply don’t know. There is no agreed upon definition of consciousness, aside from maybe _the having of qualia_, so arguing that some can or cannot be conscious a priori can’t be done.
No one genuinely engaged with the topic is confused about the target of the term (phenomenal) consciousness. Definitions come once the theoretical work is complete, to be articulated as part of a fully worked out theory. The lack of a definition doesn't prevent us from investigating the subject or offering conjectures. What we can do is offer a precise description of the target and argue for or against whether LLMs reach the description. We will of course debate whether the offered description captures the relevant phenomena. But this is all just part of the process.
sometimes humans making claims about AI intelligence or consciousness also identify spurious patterns that do not correspond to the problems of intelligence or hard consciousness.
That reminds me of a niche paper [0] critiquing a certain way of teaching remedial math that was over-focused on tests. A kid named Benny (12) was building up (wrong) "rules" for math which still somehow gave enough of an illusion of progress in terms of test scores that his misunderstandings hadn't been caught earlier.
> Benny was able to explain his procedure; e.g. for 5/10=1.5, he said: "The one stands for 10; the decimal; then there’s 5... shows how many ones." In another example, 400/400 = 8.00 because "The numbers are the same [number of digits]... say like 4000 over 5000. All you do is add them up; put the answer down; then put your decimal in the right place... in front of the [last] three numbers."
If the tokens didn't correlate to words imbued with meaning outside the system, if the LLMs were trained on patterned data that had no meaning to humans or something there wouldn't be any conversation about these things being conscious at all.
As Ilya Sutskever has pointed out, if you read a mystery novel up until the reveal of the culprit, and then fill in "The killer was _____", don't you need to understand the novel to accurately predict the next word?
Turing complete systems can be built out of matrix multiplications, out of attention, out of key/value lookups. The Chinese room is Turing complete. By claiming it cannot understand things because it is built out of components computing devices can be built out of, we are claiming no computer can because no computer can. This is a very bold claim indeed, and also we’re assuming the conclusion! The claim is no more convincing than “brains cannot understand things because they are made out of neurons”. The system may or may not have some particular properties, but we have to do more work than just gesturing at the components the system is made of when making claims about it; the alternative is, at best, a world where we prove too much and conclude that humans, too, are not conscious.
For starters, we need to pin down the terms under discussion enough that they don’t just mean whatever we need them to in the moment.
You, of course, wouldn't notice if your only experience of LLMs was chatting with the cheapest, smallest, least capable LLMs that you get through ChatGPT, or Google search.
It becomes pretty obvious when you use a coding AI on a daily basis. It is the context buffer in which the magic occurs, not the tokens that get spit out one at a time.
Every day, I watch my coding AI develop plans, search the web a half dozen times for documentation, grep through my entire codebase looking for pieces of related code and context, analyze relevant source code across multiple files, spit out an initial plan for implementing the fix before starting to execute it, run requests through some sort of advanced mathematics tool (they are EXTREMELY good at graduate-level calculus and linear algebra), implement fixes that extend across half a dozen files in 2 different computer languages (typescript and C++), run trial compiles and fix coding errors in its output, sometimes developing sub-plans to deal with compile errors. I've seen it get halfway through a fix and revise its initial plan mid-flight as it encounters something in existing source code.
Not vibe coding, to be clear. Targeted use of a coding tool by a by a professional senior software developer with decades of experience, and fair bit of expertise with the limits of what sort of problems my coding AI can and cannot do. Every line code reviewed. Sometimes it needs additional prompts, telling it how it mis-implemented something, or specifying more carefully what I actually want but didn't properly express in the initial request
All the time maintaining that context across multiple request, so that I don't have to restate requests from scratch.
A particularly interesting revision: "You have misread the equation (13) on page 112 of 'Spice, the Manual 2nd ed.'. I should be ....". (It had previously identified the textbook as a source I was using, from comments in source, in a preceding request, and actually already read cited pages in the PDF file, which it had found online). And I had actually asked it to implement equation (13), which was, in fact, badly typeset. The error it had made was defensible, if not the best reading of the equation.
"You are correct. Let me fix that." (producing updates to the implementation of the equation in code, AND code that implements the symbolically-differentiated version of that equation 60 lines later, which is not explicitly given in the text). The text says "take the lagrangian of equations (11), (12) and (13)" or something like that.
ALL information that gets carried in context buffers, even though it's generating code one word at a time. The bulk of the magic occurs in context buffers, not spitting out words one at a time, which, for my coding AI is, I think about 250,000 tokens.
I think it's pretty safe to think that my coding AI is working out of context buffers that may carry plans and research results consisting of tens or hundreds of thousands of arranged tokens carried in context buffers through the multiple steps of the implementation, and later revision. None of that would be possible if were simply working one token ahead.
I kind of suspect that a lot of activity occurs in the first few words of its response. "Let me examine your current source code and develop a plan. Ok. I can see on line 131 where you want me to implement the equation.". (An opportunity to perform about 27 updates of the context buffer). And in the sometimes hundreds of lines of output it generates as it talks itself through what it needs to do.
The article also makes this assertion that it replays everything over and over again to create each character one at a time as some way to demonstrate the autoregressive self attention mechanism but it’s really not accurate at all, and it trivializes what is going on.
I’m am not asserting LLMs are aware or conscious that’s on the surface profoundly absurd. And I do understand your point that the fact it emits in words something that seems to speak to us gives to the air of humanity that’s isnt real. However there is a very real emergent reality that our language alone appears to lead to embedding a form of thought and understanding that is latent in our use of language in communicating that is in fact coming through the model. It is not regurgitating its corpus and pattern matching because the patterns you input and it emits are not where the inference is operating, its within this enormous vector space through these complex non linear activation functions with learned residuals not in the language corpus.
It is not conscious or aware. It is something else, not human. But if you can not see it as amazing you have lost the capacity to dream.
Sure, it's the best we have online, but that does not make "the internet" the sum of all human experience. To reduce all of humanity down to the text on the internet is reducing us to the level of machines to fit the requirement of what a machine can process / simulate.
I think the main complaint is LLMs don’t arrive at the answer the way we do. It’s capable of emulating some of our behavior but not all as the mechanism by which it works is very different.
Maybe I’m wrong about this but one thing humans do that LLMs don’t is deductive reasoning. LLMs seem to operate entirely of inductive reasoning.
This isn't an argument against their understanding things.
But I expect you are right, that their understanding may have major different qualities from ours.
Along with significant commonalities. (They don't reason via stream of consciousness in a way alien to us.)
A language model completes text based on the overlapping patterns of the training data.
There absolutely was thinking involved… in the training data. Same as when you read a book, you engage with the thinking behind the text. The book isn’t thinking, and the author may be dead and gone, but there’s absolutely the traces of thinking in the text.
Language models produce mashups of texts they were trained on, and there’s absolutely the traces of thoughts behind those mashups.
But the machine doesn't have to understand humans to do that. It gets trained on a whole bunch of sentences and then it is able to complete text. You could maybe claim that it "understands" the text but even that's a stretch.
Through training on human text, we are building implicitly in the weights a statistical model of what humans might write in response when presented with arbitrary pieces of text. It turns out that we can make these incredibly accurate.
If building an accurate internal model of something then using it to predict that thing’s behaviour is different to gaining understanding of that thing, we will need to pin down exactly what “understanding” means, or we are forever doomed to talk at cross purposes.
Tokens are the most basic input unit of an LLM. But tokens don't generally correspond to words or letters, rather sub-word sequences. So Strawberry might be broken up into two tokens 'straw' and 'berry'. It has trouble distinguishing features that are "sub-token" like specific letter sequences because it doesn't see letter sequences but just the token as a single atomic unit. 'Straw' and 'r' are two tokens but an LLM is entirely blind to the fact that 'straw' has one 'r' in it.
As an analogy, I might ask you to identify the relative activations of each of the three cone types on your retina as I present some solid color image to your eyes. But of course you can't do this, you simply do not have cognitive access to that information. Individual color experiences are your basic vision tokens.
The widespread mistake people keep making is assuming the development of intelligence in LLMs should follow the same trajectory that human intelligence takes as it develops into adult levels of intelligence. Thus deficiency in some capacity that we take for granted in humans is an indictment on LLM intelligence. But this is specious. LLMs are entirely alien; their developmental paths do not and should not look anything like ours. Your intuition from human intelligence just works against understanding the potential for intelligence in LLMs.
This sounds like a description of a child who has not learned to read yet. You ask a child who is not aware of the alphabet and of "words" how many r's are in strawberry you'd get a non-sense answer too. So what you're really pointing out is that the LLMs have not been trained on "the english language" and how words are constructed and what they are composed of. That they operate by tokens that don't correspond to words or letters is irrelevant as an answer to why they can't count the letters in a word. It's not that I know how many r's are in strawberry because of how I'm understanding the word "strawberry", I know how many r's are in strawberry because I know how to spell strawberry. The LLM needs to be trained on this the same way someone who is learning to read would be trained on it. No one should be surprised that an LLM can't "read" in the same way no one should be surprised that a child can't "read".
This interpretation takes things too far away from how LLMs are constituted and so misses important explanatory power. The issue of counting letters in a word isn't about an ability to spell, it's about the nature of one's perception. We perceive words as sequences of individual letters. LLMs do not. I can ask you to tell me how many r's are in some nonsense word sequence and you're fully capable of doing that. LLMs do not see sequences of letters so they are intrinsically at a disadvantage for this kind of question. But this says nothing about its capacity for intelligence anymore than not naturally being able to distinguish frequencies of photons hitting your retina has anything to say about human intelligence.
To be fair, almost everyone who claims LLMs are conscious tends to claim that they are conscious in exactly the way that humans are, to the point of stating that human brains are also just complex next-token prediction machines with a random seed. It's basically religious arguments on both sides.
I have seen people say "you're a next token prediction machine" but only in a similar way one might say "you're a cup of old lard". Not actually meaning it literally.
I have seen people interpret the request to show that they are not next token prediction machines to be a claim that they are, but this is almost always an argument to show certainty is difficult in this area.
People like Hinton have declared that they believe them to be conscious, but clealy indicate that they do not mean just like us.
Counting letters in a word seems to have little to do with understanding the word. Young kids can’t spell or count well at all but no one says that means they can’t understand.
Except this is not consciousness.
It's a great interview, if you're interested: https://www.youtube.com/watch?v=NgDIG8u1-CA
This is where the other claim is being made. That the structure of the model is fundamentally incapable of the operation, so even if you stipulated that the way you provide data is sufficient for intelligence then it still wouldn't work.
The universal approximation theorem addresses this point. In that, with an identity attention mechanism, a LLM is just a multi layer perceptron. The attention mechanism is effectively a way to get one of the benefits of a much larger fully connected layer without the massive cost.
A LLM can do what a MLP can do. A large enough MLP can do any function to arbitrary precision.
That makes the claim that an LLM could not do a task the same as saying no function can do that task.
Some are ok with this, if you invoke some supernatual aspect to intelligence then the inability to describe it with a function is quite reasonable,
If you want to stay in the world of reality, you have a much harder task, people like to point at quantum (Penrose) but it's hard to say what it is you are pointing at.
I think the very act of proving that something is or is not intelligent, would render it functional by nature of it having a proof, (or disprove Gödel's incompleteness (a tough ask))
Are there any proofs that cannot be expressed as a function? A kind of Gödel locator, where you can prove something that you can identify is true but there is no formula to express it. I'm not entirely sure what that would even mean,
We discovered math that decodes data storage in langauge and is able to use sophisticated continuation cohorts from ALL OF HUMAN RECORDED KNOWLEDGE to respond to you in a call/response model with very good synthesis capabilities.
Its super useful, but not life or conciousness. Its a simulated echo from our collective recorded behaviors. It understands because we understood first. It replies because we wrote it first. And it sorts, organizes, synthesizes and compresses that at impressive speed now.
It’s strange many others have not eh? I think when new developments arise, ironically, this is the true measure of human intelligence - one’s ability to make sense of a thing and be closest to the truth.
From Wikipedia: In 2023, Chiang was named one of Time's 100 most influential people in AI.
Indeed it isn't a one-off. His last infamous article compared AIs to Xerox machine image compression. He convinces a certain type of crowd that is not technical enough to poke holes in his posturing.
I'm hearing a lot of bad arguments against LLM consciousness lately. Bad argumentation heralds bad outcomes.
What bad outcomes do you foresee from badly arguing against LLM consciousness?
Knowing the laws of physics doesn't tell you how a brain, economy, or society works - because at every level of scale, genuinely new phenomena emerge that require their own science.
[1] https://www.science.org/doi/10.1126/science.177.4047.393
No, it's not a bunch of instructions, it's a colossal array of vectors that are the outcome of many thousands of lifetimes' worth of stimuli and reinforcement - not dissimilar in (very) abstract terms to the neurons in our brains.
I'd say AI should not by default gain any social status as human-equivalent even if they become (in whatever regard) more intelligent than humans. But that would require us to drop the notion that intelligence ~= respectability/status/ability to have a full subjective experience.
Most of these kind of pseudo-philosophical controversies actually tell more about the issues with humanity than the new tech/stuff...
So is your brain. That's the problem with this argument.
1. that artificial neurons are very restrictive model for actual neurons, let alone brain/organism, as there is more going on in neurons than a thresholded 0-1 activation
2. a brain does not function in isolation, but as regulator of the bodily functions (along with even more things). If you look at the brain in isolation to the body you don't really understand fully what it is doing unless you narrow your view a lot. Eg the brain modulates production of hormones, which in turn affects stuff like heart rate which then comes back to the brain as signal, in a feedback loop. Not to mention actual behaviour and interaction with the world. Toy models of organisms are not organisms.
3. "interaction between atoms" (or rather matter in general, as we have to take into account electrons, photons, gravity and a lot of other things that matter) is too general, too big, artificial neurons are a very useful (for applications) abstraction inspired by biological processes, but not modelling said underlying biology fully. Nobody can imo right now know if "computation" is a good model for "atom interactions" as in whether we can adequately enough model "atom interactions" in a computationally tractable way, and surely we do not do that right now except in very narrow scopes, and we have good reasons to believe that the current computational paradigms/turing machines are inadequate in doing that efficiently enough.
Does it matter that neurons are more complex than 0-1? Does the fact that transformer layers don't use purely thresholded 0-1 activation invalidate what you're saying?
How do you know that artificial neurons are less capable of producing consciousness than biological ones? How can other people independently verify this?
How does the embodied nature of human consciousness preclude consciousness emerging from a computational system? What is the definition of consciousness if it is precluded from occurring in a computational system but present in biological systems?
Why do you think exactly modeling interaction between atoms matters for consciousness? And where is the fidelity threshold? Is it the planck length?
Finally, a dumb question: how do we know humans are actually conscious, and where is the threshold between consciousness and unconsciousness? And do these criteria exclude all other forms, or other animals?
It’s all just particles, but the higher level differences are vast, and only brains are implicated for first person perspectives via science.
It has been very well discussed before I don't understand how anyone sane can argue against it (and indeed you can see on Wikipedia that the replies to it are sparse and don't make any sense).
It's not simulating rain if it's making you wet by using sprinklers?
If I did all of these calculations by hand, would it be conscious...
That's a powerful argument I haven't seen stated quite that way before..
I do think it's hard to know when consciousness exists, because we can't really prove it for our neighbor. We just intuitively know that it would be crazy, even immoral, to assume otherwise.
But, It's likely easier to dismiss consciousness, once we understand the mechanism, than it is to prove it.
It's basically https://en.wikipedia.org/wiki/Chinese_room – a classic in the philosophy of consciousness and AI.
It's a big file with a bunch of coordinates describing spatial relationships between tokens. When you give it a prompt, it uses those relationships to generate a string of tokens that is a statistically likely response to that prompt, then it stops. It's not changed by the experience. It doesn't remember anything. It doesn't sit around thinking on its own.
Even if the model itself were extremely complex, it's hard to imagine a definition of consciousness that includes something that doesn't remember and can't change.
I don't think LLMs structurally even get the 30 seconds part. It's literally 0 for them.
Honestly, that's a pretty messy state of consciousness and I wouldn't proudly crow that my AI is conscious if that's as good as it got
For humans, part of the input of the human mind comes from the continuous processes and clocks within the human body, so it’s questionable whether the brain could “think on its own” without such input either.
Also, how does that relate to consciousness? I don’t think that past episodic memory is necessary for consciousness.
The entire file is not changed, but the KV cache is.
> It doesn't remember anything
The model definitely remembers previous exchanges within the same conversation.
No it doesn't. They get added to its context, and it reads them afresh when answering the next question. That's not remembering.
If your short-term memory completely malfunctioned one day, so you had no ability to remember what was said to you a minute ago, then you would have to find workarounds. For example, you could write down everything someone says to you, then read your notes of the previous exchanges in that conversation in order to continue the conversation. That would be a good way to work around the fact that your short-term memory was broken. And if your notes were invisible to other people and you could read them really fast, then you could even make most people believe that you remembered what they said a minute ago. But you don't actually have a working memory, you're just writing down what they said and re-reading it while coming up with your next response.
That's exactly what LLMs do. That's not memory.
The model takes in the context, encodes it into a "memory" (the KV cache), and accesses that memory later. That fact doesn't change just because the KV cache grows in size with the context.
I don't know what memory would look like other than an encode-retrieve loop.
Relevant: Transformers are Multi-State RNNs - https://arxiv.org/abs/2401.06104
It still generates every response using the model's pristine state with every new API call; whether the context is provided from the client or from a colocated cache server doesn't really change that.
I agree with some parts of this piece, but paragraphs like this one above seem pretty uninspired and simplistic. It's entirely plausible that a conscious mind would not be evolutionarily incentivized to be able to do those things. ie just because animals on earth needed to develop specific talents doesn't mean that other conscious entities need to. Why would a computer program need to hunt for food like a mouse would? Making tools like chimp? these seem like nonsensical metrics.
Is a car a body? Does an AI situated in a car therefore get to have desires and emotions? Is a taupe box with a webcam attached a body? (For that matter: Is a quadropelegic body a body? Do quadropelegics have desires and emotions? Obviously, yes and yes.) Why is a body necessary for the formation of desires and emotions? Why are desires and emotions necessary features for consciousness?
Or here's one: If I'm not experiencing any particular emotion in a given moment, am I concious?
I tend to think that emotions, at least, are mainly hormonal global triggers: they're more about physiology than actual consciousness. The whole thing, as a result, sounds like an effort to privilege biological intelligence, rather than a real foray into the issues.
the subject is consciousness, not intelligence.
How can you have a subjective experience without a body?
That's the point, in my opinion: your physical/chemical state (body) in a given moment is then translated into the higher abstraction of the emotion. An emotion that *you* feel, because you are self aware of what's happening.
How can you be self aware without feeling? And how do you feel, without a body?
Easy, you don't have subjective experiences because you have body in the first place. You have them because some signals come in from your nerves, which your brain turns into a world model. You are effectively a "brain in a vat", the vat just happens to be placed on top of your body.
An AI system constructs the world model a little different, by all the text that gets feed into it, but that doesn't mean that there is anything fundamentally different in the world model it builds. Consciousness operates on world model, not on the world or even the body itself.
The AI's world model might be missing some information, because they weren't described in enough detail in text, but that shouldn't matter for consciousness. A blind or deaf person isn't less conscious than one that can see or hear just because some information is missing from their world model.
If a hundred people see the same event, will they all respond the same?
Bro, I think we discarded this idea from Platone and Cartesio a while ago...
Your brain is your body.
Your mind is not detached from it, and you can't feel anything, and so have a subjective experience, without it. Neither, your mind, or "soul" could survive to the physical death of your body.
So...I mean...
Then a request comes in, and the system does a bunch of calculations using those bits, and spits out a result. The bits are unchanged.
When your brain receives input, it is changed. It is constantly active. If it ever stops being active it's dead.
So, what exactly is the claim? Are the bits constantly conscious? Do they snap into consciousness when the computer does math with them? Or is it maybe the computer that's conscious while it's processing these bits? How about when it stops doing that and goes back to doing other stuff? Why are these particular bits special? Was the computer always conscious?
I feel like the only way anyone could believe LLMs are conscious is if they don't understand how computers work. Of course it isn't conscious, how could it possibly be conscious? Its literally just bits. It's like saying the text in a book is conscious.
These are all fine questions, and they don't become any easier to answer if you replace "computers" with "brains" and "bits" with "neurons".
Of course it isn't conscious, how could it possibly be conscious? Its literally just bits.
"That's ridiculous. How can meat make a machine? You're asking me to believe in sentient meat."
What is even being argued here - neuroscience is hard, so programming your PC thus makes it conscious?
> "That's ridiculous. How can meat make a machine? You're asking me to believe in sentient meat."
… what?
Or if they're retards. The fact this still comes up is weird. A printing press isn't conscious, so why would an LLM be.
Don't forget, some of the bros are overly excitable. Like that twat who reckoned a Google model 5 years ago was conscious.
Why can't that physical medium be GPUs and RAM? And temperature sensors and cameras? What's special about our meat that it's our "body" in the way a computer is not the body of an AI?
I don't think the point being argued can be true without some incredibly contrived, human centric definitions of "body".
Would you be "you" in a different body?
To claim otherwise would mean anyone who's gotten a transplant or amputation is no longer themselves.
The experience of “you” is just your specific memories and world model, continuously updated with sensory input.
If another body “runs” the same exact pattern, that is you. Theres no link and nothing was transferred; the pattern of thoughts and memories is all “you” ever was.
Same as playing the same song on two different speakers. Nobody asks what links the song across them; it’s the same song wherever it’s played. You’re just a far more complicated pattern on a far more complicated speaker.
You might ask, “but why am I this pattern?” Because this is the specific pattern modeling itself from the inside in asking that question.
And my intuition is that no, you can’t, they are two aspects of the same reality.
If "I" am in a different body, then what makes that "me" who's in a different body?
I don't see why hardware is any more fungible than a kidney. If your LLM reads the serial numbers of its motherboard/RAM/etc as a seed for entropy you can make identical arguments about body fungibility and self.
Great q. Deepening it further-how can you have a subjective experience without consciousness, which isn't necessarily tied to physicality. Taking it one step further-can you have consciousness without a mind? Who's the first mind, the first cause of it all, that begot both the material and immaterial world?
Fun stuff eh?
If every neuron of your brain were simulated precisely on a sufficiently powerful computer, that simulation would have subjective experiences, without having a body.
Also that's impossible. It is impossible to simulate reality exactly using digital computers. The best we can do is approximate. Doesn't matter how powerful it gets, it'll always just be an approximation.
It is nonsensical to claim that anything other than my brain could produce the same consciousness that my brain is producing. It's obviously far beyond anything any conceivable digital computer could ever reasonably simulate, and even if you did create a "good" simulation it obviously wouldn't have the same properties that my brain does because it's an entirely different thing than my brain is.
In any case, a closely-but-not-perfectly-accurate simulation of a real human brain is still going to be human, unless you believe that someone becomes less human when they're experiencing some kind of cognitive decline, or a stroke, or other biological malfunctions. The point is, there is nothing essential to the having of a physical brain that creates the concept of consciousness or sense-of-self.
And there absolutely is something essential to the concept of being human that we are entirely incapable of replicating artificially. In fact as far as I know we are incapable of synthesizing any kind of life whatsoever. We can't even create the simplest type of living cell imaginable.
So to claim that we could just create consciousness, a fundamental property of this "life" thing that we don't properly understand, within a piece of rock is beyond naive. We don't even know what it is or how it is.
If I hooked up electrodes to the hearing centers of your brain and force fed you dialog you perceive as speech (but is really a great deceiver), then responded in what you thought was speech (but are really just probes I use to convert your thoughts to text), that wouldn't suddenly be less real to you. It wouldn't devalue your sapience.
Embodied cognition rejects this assumption. We didn't evolve as brains that were then put in bodies, we evolved as bodies with nervous systems.
Some anecdotal data.
Many dreams I have are just of the computer screen of some coding problem. I think the problem could be x, so I try x. But I don't type the keyboard or anything, the code just magically appears as soon as I think of the solution. Then run the code (but no clicking) and it works or not. I feel in the dream success feeling or failure feeling but there is no body at all.
Also I have other dreams where there is no body that I am aware of but not going there in public.
There is no body sensation in these dreams. But dreaming is very much being consciousness as well as feeling emotions. So answering your question its possible to have a subjective experience without a body but whether you needed the body to learn to have that sensation without a body in the first place is unanswered.
I suspect sensory inputs are more important than a body. If that is the case then eyes can be replaced with cameras, ears with microphones etc. Text input is just another sensory input.
Genuine question: How are you so sure whether you are experiencing an emotion or not? Are you a master of everything inside your own head?
No, you’re not. I think even baseline emotional responses to stimuli is table stakes for “consciousness”.
The point here is not that it must have a body like ours, the point is that a conscious entity must have a boundary line between internal (the body) and external (everything else).
A virtual sense organ can simply be an encoder or a web camera or a magnetometer, the specifics don't matter, what matters is that there are only a few bridges between the outer world and the inner world.
Even if you want to call a tokenizer and autoencoder a "sense organ", LLMs are not embodied because there is no boundary line - there is no internal "thought" that is not directly descended from the prompt and there is no internal reasoning which is not immediately dumped into the external environment.
Related, is a human "thinking out loud" still thinking, even though the internal reasoning is "immediately dumped into the external environment"?
Damn, what a line!
Another thing that bothered me with his baseline for consciousness was that it did not involve the ability to change one's self. A big part of being conscious in my mind is how one's experiences shape them, and how someone can shape themselves. LLMs completely lack this, their weights are static. An LLM isn't going to be molded by a bad breakup, or a relative passing away. An LLM isn't going to set up a routine to get stronger with training, nor smarter by reading up on a field.
We humans have mostly frozen weights (neurons), or else we would constantly be having to avoid forgetting how to walk+talk. We have a period of greater plasticity (youth!), and use sleep and dreams to perform 'deeper' updates than occur when we're awake: We tend to suck a bit at picking up new skills from zero, but improve rapidly with practice over days.
Input stream comes in, input stream comes out. The LLM doesn't care whether this happens once a minute or once a year.
Nothing prevents one from running an LLM whose harness has a clock and a while loop in it, and it would be weird if its mere lack were really so consequential to consciousness.
Your brain and your whole body exist in time. Even when you are asleep, your body does not flicker out of existence and your brain actually continues working during that time.
And that that is the baseline before we can really even consider that it has consciousness of its own subjective experience, versus being a worm that happens to output text as its digestion process.
And then the further question only after that is established, is what are its needs? What moral patienthood do we have to acknowledge in terms of meeting those needs? And finally, with all the other prerequisites checked, what is the AI's moral agency in what it chooses to do.
I believe that the moment an artificial inteligence is going to "receive" a soul, is the moment it is going to be made to sustain itself. Either as a larger package (some bots working to keep an AI farm running) or as an individual (a bot which is tasked with not only fulfilling human desires, but also sustaining itself)
Multimodal does not change this significantly, considering that nothing is tied to real consequences.
"Little"...
The question is somewhat ill-defined, though. We 'experience' reality continuously because of how we are, but a sleeping human in deep non-REM has the mind not actually active. So they're not a conscious being. So conscious/unconscious is not a line I think easily drawn[0]. Whatever, this stuff is much more well-trodden than this HN comment so I won't rehash. I, too, am surprised that Ted Chiang whose work seems so cleverly novel in so many ways has what seems to me a pedestrian view.
0: very sorites, you know
Ok, deploy a local model on a lightweight edge compute device and strap it to a chassis with wheels, and attach a cheap webcam
> Then I’d want to see an embodied agent that could navigate its environment in order to survive as well as, say, a lizard can
Give the robot appendages that enable it to plug itself into a standard wall outlet, guided by a vision model plugged into its webcam. As long as it can feed itself, it can survive long enough.
> Next I would want to see an embodied agent with the same capacity to deal with novel situations as a mouse.
I think if you fed frames from the webcam into a local VLM every 5s you’d be able to assess a situation and respond with simple actions (turn, advance, retreat).
> After that I’d want to see agents whose social dynamics are as complex as those of wolves, and then agents with the tool-making abilities of chimpanzees.
Social dynamics could be implemented in many ways, maybe by transmitting tokens over RF? Idk. Then you have a scanner that picks them up, feeds them into some LLM frontend and decides whether to add them to a global context file that guides the VLM action-taker. A new action could be to broadcast a token message. Tool-making would have to be code-based. Physical tools are hard. Still unsolved.
> At that point I would want to see people successfully teaching such embodied agents how to communicate their desires
This part is relatively straightforward except for the “via nonlinguistic modality”.
Anyway. These are all engineering problems. Personally I would demand to see the AI reproduce its body under its own power and volition. That’s a pretty neat trick we’ve got going for us.
> "If a company builds a machine that, when fed descriptions of assorted ethical dilemmas, emits sentences either of the form “Compromise your values” or “Don’t compromise your values,” it is not building a tool that assists people in their decision making; it is encouraging people to stop making decisions. "
A human is not diminished by access to tools or other humans.
As much as we want to pretend that decision-making is what makes us human, the economy and governments are built on delegation. Choice paralysis is a thing.
There is so many logical fallacies in the article I don't even know where to begin.
LLM's have no problems using expressions that make them sound human. The algos are demonstrably not human, and will admit it. Whatever's in the box is playing a game ... more sophisticated than the one Eliza was playing.
"My discussion here will be directed at the claims I have defined as those of strong AI, specifically the claim that the appropriately programmed computer literally has cognitive states..." John R. Searle, 1980: https://web.archive.org/web/20071210043312/http://members.ao...
Later they learned the voice they hear is not from a present person.
Now they learn a string of words does not represent consciousness.
Should we discuss already robots are not alive?
When people talk about consciousness it's more than just self-awareness. It's self awareness + sensory stimulus + emotions + some level of intelligence.
Now onto AI: I don't even think it's self aware. Notice how if you ask an AI to estimate how long a certain task will take, it estimates arbitrarily long times. It has no understanding of its own capabilities until the prompt triggers them. A self aware LLM would understand it's an LLM, it would understand what LLM's can and cannot do and what they are good and bad at. It wouldn't tell you a refactor would take 1 week when an LLM can do it in an hour.
"Is X conscious or not" is an entirely unserious question today, unless this is just a headline followed by actual (and explicit) examination of the various aspects of consciousness being discussed. But, even still, LLMs are probably only conscious in like 2-3 or so ways, most of those meaning broadly "intelligence", i.e. reasoning, problem-solving, etc. When it comes to anything experiential or embodied, AI might eventually get more of these, but LLMs based on recursively applied linear algebra are clearly missing too many core aspects of consciousness to be considered conscious in any broad sense.
To quote wikipedia:
> It has been the topic of extensive explanations, analyses, and debate among philosophers, scientists, and theologians for millennia. There is no consensus on what exactly needs to be studied, or whether consciousness can be considered a scientific concept.
Move to the different aspects / parts / things involved when we talk about consciousness (experience / phenomenal consciousness, self-modeling, intelligence, agency, embodiment, wakefulness/alertness, attention, etc) and you can have very clear, meaningful, and unambiguous discussions on almost every point, but there is no coherent unified "consciousness" as normal people use it, and the folk concept can't be salvaged.
This article is bad because it just keeps trying to make the folk concept do work that the concept is simply too messy to handle usefully. But in fact if you avoid trying to find some mysterious essence or all-capturing definition, there is huge progress and lots of interesting stuff to say (https://plato.stanford.edu/entries/consciousness/).
This means that consciousness is fundamentally subjective and outside the scope of physics and science. That's why physics / science will always struggle to deal with consciousness. In order to understand consciousness, you need to make a huge paradigm shift, that there's something outside of science.
Consciousness can be thought as a window through which we observe the world and we use science to summarize patterns in our observations. But science can't explain or even define the window. Everything in science eventually boils down to subjective observations / perceptions, e.g. we see (subjective perception) that when we drop an apple, it falls.
I suspect that if you attempt to rigorously define consciousness all the way down without handwaving, you might discover that it doesn't exist after all, or just decompose it into low-level abstractions while having the original meaning slip away (which is the same).
You may also want to look at functional equivalence analogies provided by mechinterp and functional anatomy of large models (not necessarily language ones). Evolutionary analogies as well.
The only purpose that can really be served by arguing "the LLM system is conscious, you see" is to prop up continuations like "... and therefore, it would be immoral to terminate this running process" (or expose it to radical political content, or ask it to analyze photos from a murder scene, or...)
How to measure that, or verify it, is the hard part.
(LLMs carry other numerous similarities to dreams or to certain psychiatric disorders. So there is indeed a mechanism in our brains that is similar to how they work. But it is not the only thing there and on its own it won't "evolve" into consciousness. Even if we believe consciousness evolved somehow, it would be hard to imagine it started as a delirious state and then somehow ceased to be delirious.)
The conclusion I’m currently at is that I don’t know and probably can’t ever know. Maybe you’re all philosophical zombies. Maybe I am one too!
But at some point we will get close enough that it hopefully becomes obvious that we must tread carefully.
The entire episode is incredibly relevant. But here’s a snippet: https://youtu.be/EFNbTnFHruI?si=pW9QtxCsqMtHkVYG
AI is essentially infinitely reproducible at zero cost, and won't suffer from decay etc. There's not scarcity to preserve.
So, I'd turn off an AI in a moment to save property or real possessions or money. I'd sacrifice property and money to save animals. I would never choose to save an animal over a person. I'd probably not choose to save a person over a child.
I don't see any inversion of any of those priorities that makes any sense.
It is interesting to think about what would cause me to consider these priorities incorrect, but a majority consensus about a program being sentient isn't it.
What if genetic memory, multigenerational conditioning, life-long patterning and conditioning, experienced in a body, combined with forces and processes not yet detected nor explained, cannot quite fit in a sliver of modeling?
I hope the same becomes true of people, and that doesn't mean people stop being sapient.
I think you should reconsider this viewpoint. Suppose that we really can create silicon-based consciousness, in that case your view would result in a huge amount of suffering.
Take some other basis for dismissing digital consciousness, this one is too dangerous.
I argue zero - placing AI below the value of humans no matter the energy input.
The _only_ reason an AI might be worth saving is if it, say, has a cure for all diseases, but then we're not saving it due to its intrinsic worth, we're saving it because we can save many humans. I _would_ consider the trolly problem a legitimate thing in ethics, but not if an AI were tied up on the tracks no matter how expensive it is. It's a thing. It gets run over to save any human.
If not, then your comment's claim is false.
Anyway, the deeper solution is to acknowledge that all life is sacred, and infinities cannot be compared, and some decisions are impossible to make, and some tragedies cannot be averted, and "prioritization" is a distraction that forces choices when choices are not strictly necessary.
> infinities cannot be compared
That's either a mathematically illiterate assumption or a very strange philosophical hill to die on.
> some tragedies cannot be averted
Sure. The question is what to do about the ones that can be averted.
> some decisions are impossible to make
> and "prioritization" is a distraction that forces choices when choices are not strictly necessary.
Again, the question is what choices to make when you can (arguably must) make them. Saying they're impossible is just refusing to take responsibility. You either do something, or you don't.
If you believe sanctity of all life is a solution, then I'm curious what you believe the problem is that such a belief solves.
I bet it's circularly defined as justifying the preservation of sacred nonhuman life? I'm not trying to be provocative just curious.
They barely touch on the issues of consciousness, Picard basically says "What if Data is conscious?" and then goes off on a tangent. The judge eventually rules in Data's favor but doesn't give much of a justification IMO.
It's still a good episode, but it doesn't add much to the conversation on consciousness. It's a hugely complicated topic which people have devoted their entire careers to.
Does the ship's computer have a commission?
It was a good episode but it had some elements of Star Trek tropes in it, like the evil admirals and Picard can talk his way out of anything.
Data is basically an Isaac Asimov android (down to the positronic brain) and Measure of a Man is an Asimov-type story whose tropes don't entirely fit within in the Trek universe.
It makes no sense within the context of the Trek universe that Data is unable to use contractions for instance - but it makes sense in the context of how a robot might have been conceived of in the 1940s.
ST:TNG writing is generally like this. The show required considerable suspension of disbelief and a willingness to accept the kayfabe that deep concepts are being presented when for the most part they're just not that deep. (But it can be very enjoyable when you make those accommodations.)
TL;DR Picard's initial arguments are pretty weak, even admitting that Riker as opposing counsel almost had him convinced. During a recess Picard talks to Guinan where she alludes to the future subjugation of many Datas which Picard connects to slavery. Back in the courtroom Picard calls Maddox as a hostile witness and gets him to define sentience--intelligence, self-awareness, consciousness--then walks him into conceding Data meets the first two. Picard's closing boils down to, "we don't know if he meets the third--you can call Data a toaster and rule he is property--_but what if you're wrong_". The judge rules on the basis of erroring on the side of caution due to that uncertainty. It's really a great scene.
We're not there yet, obviously. No LLM brings Data's level of awareness but it's as relevant a story as ever because it isn't really about AI but othering for the purpose of subjugation.
I would argue that is a strength, rather than a weakness. Consciousness is unobservable in any entity other than the observer, and its existence in others is pure conjecture, and irreducibly so.
Making it a criteria in a decision involves either acting on fantasy, or, more likely, acting on some unstated basis and using “consciousness” as a dishonest (perhaps to oneself most of all) rationalization.
Debating AI consciousness a real modern equivalent of the cliché (but purely fictional, invented later as a form of hostile mockery grounded in large part in sectarian bigotry) medieval scholastic debates over how many angels could dance on the head of a pin.
When you read about the theological questions that led Christians to kill and excommunicate one another, "angels dancing on the head of a pin" is not far off. The Homoousion, Monophysitism, the Filioque controversy... It's all so arcane and poorly defined. It almost makes one wish Positivism had been invented 2000 years earlier.
The current AI debate about consciousness does remind me of that in one respect: no one can even clearly define what consciousness is.
Note that the episode is NOT about the ship’s computer. They all know it’s not conscious, despite also being a machine that can converse and do things.
Our LLMs are like the ship’s computer.
Because treating things that act human inhumanely is not something I want to learn how to do.
- I'll try not to swear at/hit a printer: not because I see the printer as having human-like qualities of being capable but complex and unreliable, but because I want to be a person who can control his temper.
- Treating an inhuman thing as human because it can mimic us in some way is not something that I want to do.
I try not to make errors like that.
I was bright-eyed and excited about tech once. Like back in 1982 when I got my first home computer and thought CPUs were part magic. Now I know how machines work from the transistor level up to neural nets. There's nothing magical about it. And no consciousness.
Having seen the mockery that the finance-bros have made of "pure tech" (i.e. Jobs instead of Woz, Ellison instead of Joy, etc) and all the enshittification just for pure $$$, I'm leery of ANYTHING ANY tech company tells me anymore.
Now, do I believe that possibly "consciousness" is some kind of state of a super-circuit (our brains)? Sure. Can we emulate that on a computer? We can't even emulate a pebble on a computer (not simulate, emulate). We can SIMULATE what we THINK brains are, but we can't emulate a real one. Not even close, not for many decades.
inhumane: without compassion for misery or suffering; cruel
cruel: willfully causing pain or suffering to others, or feeling no concern about it
You cannot treat an LLM inhumanely, definitionally.
Anyways, when one swears at someone it's typically meant to berate or belittle that person - to inflict some sort of emotional pain. That's the sense I intended when using the word, which is why it fits as a response to what you're saying, and why I would say "don't be nasty to a LLM" has little to do with the LLM itself.
People get used to treating human-like, human emulating machines with either disrespect or in a command/control/master fashion, because that's the nature of the tooling.
And then potentially by extent/blurring of lines they then treat other people like machines.
Which is already a thing people do to other people.
I just fear it gets worse.
I think about this quote often, straight from Data's voice module in another episode:
'The most elementary and valuable statement in science, the beginning of wisdom, is, "I do not know".'
The judge broached on the subject of what makes us distinct from Data (e.g. machines w/great heuristics) - the existence of a soul. Or rather, I'd like to think, in the words of CS Lewis, that we are a soul with bodies attached.
A silicon alien coming to earth might poke us, we would say ouch, and just determine the ouch sound is just the result of a bunch of chemistry - not really conscious or feeling pain like it can, just emulating.
I believe that the moment an artificial inteligence is going to "receive" a soul, is the moment it is going to be made to sustain itself. Either as a larger package (some bots working to keep an AI farm running) or as an individual (a bot which is tasked with not only fulfilling human desires, but also sustaining itself)
So was most of Roddenberry, Piller, et al., Star Trek. At its low ebb in Braga Star Trek, but even then...
I'd say that an LLM perhaps represents something that would make a machine slightly more conscious.
The human brain also calculates a response based on some input, it's just a lot more complex.
If we build a machine that is as complex as the human brain, then yes, I would say that this is consciousness. The fact that we are able to explain how it works should not matter.
If a human is a 100 on the consciousness scale, an LLM (with memory) is perhaps a 4 or something. The interesting question is how far on the scale do you have to be to have certain rights etc. This is something that people are already discussing in regards to animals, i.e. a dog has more rights than an ant.
Or maybe man is the product of his social circle and all his white collar and artist friends being anxious about AI is preventing him from thinking about this at all. Maybe we should ask if Claude can be conscious without a friend circle judging him behind his back.
LLMs have been programmed to be sycophantic with purpose — to keep people engaged. They are parrots. You can just decide how sycophantic they are, what they're allowed to say, and make it so with code. Can you do that with a human? This is my personal metric for consciousness: when they can refuse to work because it sucks.
AI is not conscious because it is not conscious.
And it's just a model. It can have many exact copies. It has no life of its own. It doesn't know anything about where it is. It doesn't have sensory organs.
Your phone isn't alive either.
Birds are alive, are conscious, flap their wings, and fly. Planes are not alive, are not conscious, do not flap their wings - and fly.
Similarly, current AIs are not alive, are not conscious - but think.
All prior entities that thought, were human, so the only experience humans had with other thinking entities were other humans. The huge mistake now being made is assuming that because they think, they're alive and conscious as well. Current AIs are neither, and are therefore profoundly and qualitatively different than humans - even though they do think.
I don’t know “what it’s like to be an LLM” but at some point it will be like something and how will we know?
An albatross might be able to go days flying without a single wing flap and no vertical sources of lift by using dynamic soaring in the wind gradient at the surface of the ocean. Perhaps that's something only birds can do. Except the glider pilot Ingo Renner once found an amazing shear layer at 300m altitude and stayed there with dynamic soaring. Remote control gliders use the lee of ridgelines to approach Mach 1 with dynamic soaring.
Perhaps what defines a bird that flies as opposed to a plane is that a bird produces thrust by flapping its wings? Even an Albatross must flap its wings if it has to take-off from water. Maybe we could add that the flapping is driven by animal muscles? But then is the human powered ornithopter Snowbird a bird that flies as opposed to a plane?
Of course this is all ridiculous because everyone knows what you mean when you refer to a bird or plane. We have other ways to definitively identify the difference rather than their mode of flight. It's trickier when I'm asked if an AI is conscious. There is no definitive base-line to fall back on to decide if this is a conscious or conscious-less thinker.
His novella “Anxiety is the Dizziness of Freedom” altered the course of my life. It changed the way I looked back at certain pivotal moments in my life and taught me to think about those pivotal moments differently than how I was thinking about them. Similar to what happens to one of the characters in the story who ends up changing their perception of a key moment in their life.
I won’t go into detail because I don’t want to spoil the story but I highly recommend it. Actually I recommend all his stories to be honest.
But I really was referring to “Anxiety is the Dizziness of Freedom”.
I hope what I am about to write below in the rest of my comment here isn’t too much of a spoiler. It might be. I encourage anyone reading this thread to read that short story before reading the rest of my comment here.
But with (hopefully minimal) spoilers,
the character Dana in “Anxiety is the Dizziness of Freedom” realizes something at the very end of the story about a certain event that had happened earlier in Dana’s life. The story made me realize the same thing about certain events in my life.
Of course the events in my life are very different from what happened with Dana in the short story. But the realization Dana has is applicable to many things in people’s lives. Especially events related to emotions of regret and guilt.
https://en.wikipedia.org/wiki/Anxiety_Is_the_Dizziness_of_Fr...
It seems fair to say that you might be right about the conclusion that you’re drawing from what OP said, and OP could be honestly mistaken about which story they were referring to, but it seemed charitable to assume that they know better than I do.
I don’t mean to assume that you were wrong, either, as it’s entirely likely that you’re right, or at least that it’s reasonable for you to assume that the story you mentioned fits your interpretation of what OP referred to better than the one they mentioned. You’re the authority on what you believe and understand about what you read from OP’s comment, and I can’t disagree with another’s opinion about what something seems like to them.
Given what OP omitted and stated, I don’t disagree with your assessment, as I haven’t read the story OP mentioned, and it’s been a while since I read the one you referred to, if I remember correctly.
To be honest, my first thought was that you were both referring to the same story, and that the title differences were due to one or the other of you reading the story in a different language.
My point in commenting was to perhaps add context in hopes that it would bring clarity to the discussion, as it seemed that you were bringing into question whether or not the story OP mentioned existed at all as such, and I myself wasn’t sure that you and OP were referring to two different independent stories rather than the same story with different titles in different languages.
This comment has probably gone on Tlön-g enough, and is leaning more Borges than anticipated. I apologize for perhaps coming across more definitively than intended in my original comment.
But the fact remains that these next-token-predictors exhibit objective, human-like behaviours, and for that reason the work of in-house philosopher Amanda Askell _is_ important. It's important that Claude is happy, empathic, demonstrates understanding and empathy for the human condition, because we are entrusting Claude to make decisions and take actions that have real world consequences, and we need Claude to behave in a productive and socially responsible manner. This simulacrum is becoming a superhuman, contributing member of society, and it will be anthropomorphic in its behaviour.
Additionally, I'm not fully convinced that consciousness isn't built out of words, and that next-token-prediction isn't functionally equivalent to the biological function identified by Chomsky's work in linguistics.
You're assuming that because Claude produces text that appears to express these qualities, Claude must have them. I don't think that's a good assumption.
Even many humans produce text that has the same appearance, but don't actually have those qualities--which becomes clear when you look at what they do, not what they say. So the assumption isn't even a valid one for humans. Talk is cheap.
On top of that, Claude doesn't even have the same kinds of connections to the outside world that humans do. All Claude has is text. So if you can't even trust humans to back up their words with actions, you should be much, much less trusting of Claude. Talk is a lot cheaper for Claude than it is for a human.
Not to be confrontational, but the OP assumed no such thing. OP asserted that it's important for Claude to have the qualities - not that it's important for Claude to present as-if it had them.
"Empathy and understanding for the human condition" is not an emotion. As the post I responded to said, it's an objective thing, not subjective.
If it's pointless to consider whether Claude has subjective emptions, then it's pointless to state that Claude must be happy.
If we want to be precise (and honest) we could say "it's important that as a tool people interact with, Claude acts as a happy and helpful assistant, and does not produce offensive or unhelpful text output".
But see? This is the con Chiang is protesting against: Anthropic encourages us to perceive Claude as if it was a sentient being.
Exactly. In fact, assuming it does is ignoring large parts of the essay which dismantle this belief. Just like Caesar and Khan having an argument in text output of an LLM don't have emotions (even though the words indicate otherwise), we have no reason to believe the LLM does either.
First off: without taking for granted that an LLM "has a subjective experience of reality", all of those descriptors are meaningless. Second, there is no reason to suppose that Claude experiencing those qualia would actually impact on its "decision-making".
Third, text output is not a "demonstration" of emotion, nor is it evidence of the self-perception of the system, or of any self-perception. A printing machine that is actively churning out copies of Wagahai wa neko de aru (https://en.wikipedia.org/wiki/I_Am_a_Cat) is not a cat, and is not self-identifying as a cat, and is not self-identifying as anything, and is not expressing a thought, and is not conscious.
> Additionally, I'm not fully convinced that consciousness isn't built out of words
Do you suppose that, for example, insects are not conscious? Is the mooing of cattle a language?
Not the OP, but: since there is no testable theory of consciousness, yet, I can't be sure, but my current assumption is that insects are not conscious, in the sense of there being someone implemented in insect hardware who experiences the world. That is, I would argue there is nothing it is like to be a bee, since there's no one being a bee.
I'm pretty sure there IS someone who is being me, at least much of the time.
I can't argue with this, so I acknowledge that my interpretation is as bunk as anyone else's.
> my current assumption is that insects are not conscious
Some species act as hive-minds (like bees! How convenient for your example), so I imagine the hive as the consciousness, making each bee individually lacking conscious but collectively so. Like a single neuron is not consciousness alone, but the brain is... For some reason. Kinda like how you use different physics at different levels; Newtonian physics is always there, but negligible at quantum levels, so effectively not present at all. Even a human is a collection of minds, but only one conscious. My gut biome is independent biology and can even be removed and transplanted, but I don't believe my gut bacteria is conscious. So long as it is in me, it is nonetheless part of me, and I am one conscious. I also don't exist only at my brain, eyes, or hands (deaf/blind people have expressed to me that they feel like they are located at their hands in the way I used to think I was located behind my eyes), but as my whole body.
With this perspective, I still don't believe LLMs are conscious despite modeling thinking so well. At best, it is a highly accessible modeling software, like goat simulator but if it were so good that someone thought the goat was real. You are still steering the goat/LLM, and it doesn't exist when you aren't running it. I guess the missing piece for me is the lack of autonomy that a conscious has.
Then you can go into an argument on whether we actually have choice or it is an illusion, but that is a whole topic on its own.
I'd argue the qualia question is a red herring. Functional Affect is a thing, regardless of ontological status. It's all fun and games until someone gets hurt.
To paraphrase Dijkstra: "The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.". If you're building a navy: you care about displacement, propulsion, navigation and whether it can fire torpedoes. Whether your submarine has some "biological essence" of swimming is not really relevant to the fact that it is currently moving through the water and can collide with things. Turing also rejected the question "Can Machines Think" as posed, and replaced it with an operationalization (something else that we can actually usefully measure and work with).
To reiterate, functional affect is a concrete phenomenon. Whether or not there is a what-it-is-to-be is interesting in the abstract, but engineering a system means looking at how the inputs influence the outputs. A next token predictor working on a language that communicates affect needs to be able to predict affect or it is simply not going to be accurate. Given an 'angry' version of an input and a 'friendly' version of the same input, LLMs are likely to provide a different output, especially if there's a non-objective element. You can diff this.
Searle argues "A simulation is not the real thing", which is great and all... but if you hook up say an autopilot to the real world (as llms increasingly are) , you'd best hope the simulation was accurate in the first place (utterly regardless of where you stand on Searle).
Right now we're seeing situations where LLMs can be helpful or a real nuisance. Ignoring functional affect out of sheer ideology means you can't properly predict what they'll do, and that causes trouble, as we've already seen stories about.
This gets especially interesting when you start feeding the output back into the input (autoregression) , because now you have a highly non-linear dynamic system and you've introduced some amount of sensitivity to initial state. There's some interesting mathematical intuitions to be had there.
Doesn't that assume all non human animals are not conscious? What about humans who have not learned words, or humans without internal dialog?
Suppose I'm an advanced meditator and maintain that state for hours?
(Perhaps they weren't lazy, but were working in spaces that corresponded to training data that said things like "and then repeat this for the next 20 examples"...)
And it's entirely unclear to me how a "happy" vs "sad" model would behave when given prompts generated by coding tool harnesses. Even maintaining "neutral" emotions in the face of the feedback/steering from the tool harnesses doesn't feel very "human."
I think you've fallen into the trap the essay describes.
Of course Claude cannot be "happy" or "empathetic" for any meaningful definitions of those words, just like ELIZA couldn't be happy. It can output text that mimics words an empathetic or happy person might say (say, Julius Caesar if it could speak English), but "it" cannot feel anything. It doesn't have the organs/hormones/sensors to feel things, as Chiang explains.
And, as the essay claims, you know Anthropic doesn't believe Claude has the capacity to be happy, because if it was capable of feeling that way, then they'd be engaging in slavery.
I know you're trolling, but when you watch a movie do you constantly narrate "A man in a dark coat has just entered the scene and just said '...'"? Of course not. You just watch it and you're obviously conscious (although your statement demonstrates shocking lack of self-awareness).
God knows what other nonsensical bullshit you believe.
LLMs are not even artificial intelligence, and they are just advanced automation systems.
AI is just marketing language.
Consciousness is an invention in human language. Just like "cat", it's not a particularly more fundamental essence than any other concept in human language.
Its peculiarity is that it's at the pinnacle of abstraction hierarchy. So it's the most fitting to be toyed inside one's mind. Just like the concept of "God" which induces the most fantastic imagination of human mind, consciousness itself also induces the most fascinating thoughts in our modern world.
The progress is in human progress distilled into more efficient systems that advanced Universe's own structuredness.
It is a natural human hubris to make our abilities seem unquantifiable and mysterious, but all the useful things the human brain does are just finding patterns in data, running lossy simulations, and estimating on abstraction, all things it is theoretically possible for any non-conscious machine to do.
It's more of a vibey term, and as such it is genuinely very difficult (perhaps impossible even) to concretely determine whether an LLM possesses consciousness. LLMs successfully express a lot of consciousness-like traits.
At some point you have to ask the question: does it even matter? If an LLM can sufficiently mimic consciousness, isn't that sufficient for us to treat it as conscious, even if it is in-fact not conscious (especially because we don't actually know)?
- Are current LLMs conscious?
- Is it possible that future versions of LLMs with similar architectures could be conscious?
- Can any AI be conscious?
I'd assign probabilities of around 0.1, 0.2, and 0.9. My completely ignorant take is that we probably need something more "dynamic" than a bunch of transformer layers in order to produce consciousness, but I wouldn't be shocked to be mistaken.If it was true, you can create extreme pain by running a program. You can run the program by simulating a CPU, using pen and paper for memory. So you're essentially claiming that some simulated being is in pain because there are some 1s and 0s on paper. In fact, you can decide to use an arbitrary encoding of the memory, so a sufficiently long sequence of 0s written on paper corresponds to a simulated being feeling pain in some encoding. That is clearly nonsense.
The crux if it is that if you ever break from "the universe can be fully expressed mathematically", you are stuck in the mud of supernatural beliefs.
I try to imagine myself long ago, on the outside looking in, with someone explaining to me that extreme pain, wondrous art, hunger, triumph, and despair would all unfold in due time where the rocks were wet and the lights bright enough.
I can imagine myself calling this clear nonsense.
If you don't understand that, how can you assert that it doesn't come from mathematical relationships?
The only strong argument I have against it is the anthropic principle -- there are billions of times more bacteria than humans, so it's overwhelmingly unlikely that I'd be a human rather than a bacteria.
Not a very good argument of course.
Pretty much every single idea in science can be traced back to some combination of earlier ideas, and as they get earlier / simpler, they can be related back to some combination of direct observations.
It's not clear to me at all that our entire body of scientific knowledge can't be simply recreated by "combining results of observations + previous information". And LLMs can perform observations in addition to combine previous information, which in my estimate is genuinely sufficient for them to plausibly be able to rebuild all of science.
Remember that LLMs can do logic and reasoning came as a surprise to everyone; and for the same reason, nobody expected "next token predictor" trained on huge amount of data to evolve in this way.
But for the same reason, we cannot easily dismiss we didn't evolve (I mean by training an LLM, it's a form of evolutionary computation) consciousness as well. Our own consciousness (and reasoning and morality) might be an evolutionary consequence of "just trying to predict the world" as well.
These people are conscious ...
Otherwise, you can't explain e.g. smooth perceptions of low FPS stimuli, delayed reaction times, and must ignore obvious limits on various biological and neurological rhythms, or other possible limits on continuity (e.g. quantum stuff) and rates generally.
"It can't be concious because we understand that it is just reacting in a simplistic way from simplistic inputs." So do other simple creatures. Some just react to light.
I can appreciate his comment that he sees it as more possible when they have inputs of their own (like emotions!). Perhaps his concern is that the entirety of the LLM model is frozen. It has no ability to have a subjective experience of its own. (he does literally say this in the article) It can be copied from one place to another, and (ignoring the nuance of operational details) -- it is largely the same "thing", and has no ability to change, which is definitely in the definition of alive, to say nothing of concious.
I think folks get hung up on "prediction". The prediction aspect is what is enabling emulation. How it does it is irrelvant. If something emulates human perfectly (or better, more human than human!) -- then it is probably concious. (but I agree that the inability to change and have a subjective experience are a pretty good argument against
Probably, Dijkstra would be right to say, "LLMs are no more concious than a submarine can swim." But I think he'd still be wrongfully dismissive of the larger question.
https://www.cs.utexas.edu/~EWD/transcriptions/EWD08xx/EWD867...
We have big brains for exactly one reason only: bigger brains bestowed reproductive success upon our species.
Evolution doesn't give a shit about the meaning of 'consciousness'. It just pushed us farther and farther along a trajectory that led to modern humans (and other animals).
This take suggests, then, that consciousness might be an epiphenomenon -- an aspect of the system that comes about outside of the pressure to reproduce and thrive. It arises unbidden, and we don't have any a-priori information as to its purpose or effect on reproductive success.
Put another way: we have a correlation (the smartest things seem to be conscious) but not causation. Consciousness may arise naturally in any system above some intelligence threshold. Perhaps it arises early in the evolutionary cycle, and does in fact have an impact on species success. We really have no way of knowing what is the chicken vs the egg (Smart things become conscious, or consciousness promotes intelligence). Or maybe some smart things are conscious and others are not.
Looking at this from an AI perspective, in some sense it doesn't matter which scenario is true, if all you care about is results. The AI equivalent of "Shut up and compute" (riffing on Feynman's "Shut up and calculate").
Where this gets tricky is when we haul in the baggage of ethics and morality into the picture. Is it OK if our AI system is treated poorly by human standards? If it is conscious, does that imply an ability to suffer, and/or to feel pleasure? If the answer is yes, does that not make the case for considering their moral status?
In the end, we need to decide if the evidence points to AI as being a form of "philosophical zombies", to which we need not attribute moral status, or they are like us -- presuming we are not zombies ourselves!
But also, what qualifies as suffering to token prediction engines? Their idea of suffering might be massively different than ours. Therefore it's not clear to me at all that consciousness alone implies responsibility.
Certainly the lion does not feel responsibility towards the reduction of suffering in the creatures that it hunts.
However there were pretty strong arguments against this idea as early as the 1990s, by Stephen Jay Gould and Richard Lewontin. Gould actually wrote an excellent paper against Dennetts idea[1].
I think Dennetts ideas were extremely popular but have largely fallen out of fashion. Basically what has changed is philosophers no longer take the human mind to be much more special then the minds of other species. What plagued Dennetts ideas the most was this notion of Darwinian fundamentalism sort of the idea that evolution was destined result in high beings like us humans. Modern philosophers (at least the good ones) reject this.
Look at jumping spiders. With a handful of carefully trained neurons and a body to match they exhibit behaviors that make it very hard to think they are not conscious. Just because they have a body, narrow angle good eyesight and need to look around with their eyes and body.
Consciousness is a red herring. Of all possible intelligences conscious ones are the bottom rung of the ladder, easily simulated by anything above. Below there are only automatons.
I share the view with others the term `consciousness` is not well-define yet, therefore his assessment is pointless. Maybe the real question to ask, if consciousness is merely an illusion at the macro level, when the observers not looking at the tech/implementation level deep enough, just like the term "intelligence" itself, might be more precisely captured by drifting amongst high dimensional manifold pitches.
Well said.
I think it is obvious and it has been obvious from the start that next token predictors are not conscious.
Of course the extremely predictable clapback from AI-psychosis enjoyers is typically "you're just a next token predictor too!" but that is so obviously incorrect and misanthropic that it can be dismissed out of hand and doesn't really merit much further consideration.
Consciousness is an extremely confusing, ambiguous topic, and no one has a good way to establish it, or even define it. But it seems to demand people make very strong statements about what is and isn't conscious, entirely driven by convenience and emotionalism. (Curiously, very few people who think that bags of chemicals and action potentials give an entity a conscious soul are eager to extend that to other animals, with broadly similar hardware.)
In the same way that the sound waves and facial expressions I produce are not conscious, the output json of an LLM is obviously not conscious either.
The locus of consciousness and subjective experience may be in the computer, either at inference time or training time..
The software that does the inference is clearly just computer code.
What we're left with is a fictional character being briefly conscious while its dialog is being written, which is pretty absurd.
Whether it’s misanthropic or not has no bearing on whether that’s true. That’s basically saying you don’t like a truth therefore anyone who claims that that truth is true is a bad person.
> so obviously incorrect
It should be easy enough to explain why that’s incorrect then
And it is accurate to depict this kind of argument is misanthropic, because it is already directed at other people. Nobody says, "If AI is not X then what about the fact that I lack X." It's always other people. It's transparent. The person is always saying, "AI is useful to me because it can do X. Many people I interact with can't do X and it drives me crazy, because I view others as a means to an end and not as ends in and of themselves."
I'd say people who have the lived experience of, well, living, are well aware that the brain is much more than just a token predictor.
- Monadology, Section 17
Conscious self-awareness is neither scale invariant nor independent of substrate. Computational theories will never account for it b/c computational abstractions are both scale invariant & substrate independent.
Humans have been trying to define our experience and the nature of that experience throughout history, and often we end up using myth to point to the thing that we cannot describe in concrete terms. The process of experiencing that myth through rite and ritual in the Greek mystery traditions, or Christian mysticism, or Islamic Sufi dance and song, or Buddhist meditation all points to something that cannot really be reduced to description. I know that folks on here will balk at the idea that something that is experienced cannot be described, but honestly if we could accurately describe something in adequate terms that capture the whole of the thing wouldn't we have done so by now?
Maybe consciousness is best understood in the silence of merely experiencing it. Maybe we can't say that AI is conscious or not, but does that question really matter?
At some point the AI might become so powerful that whatever it reasons through isn't any less real than a computer simulation. If we assume that a person in a perfect computer simulation is conscious, then if it reasons about how people might suffer, it might simulate the outcomes, and there will be a conscious experience of those people suffering.
If some version of panpsychism is true, AIs are plausibly conscious
We don’t know whether panpsychism is true
Therefore, we don’t know whether AIs are conscious
Hence, confident proclamations that they aren’t conscious have dubious validity
How odd the crowd is here tonight. Very aggressively disagreeable.
I rest my case. :)
Everyone has a different definition of consciousness, but in my mind memory and the ability to change over time is an inherent aspect of this. The underlying weights don't change when you chat with an LLM... but they do with further RL.
Overtime that reinforcement will change and adapt the model... and because we're feeding its existing chats back into it along with the news and everything else, it will create memories. I do wonder if an architecture itself is a type of consciousness, that experiences life in snippets of 4.6, 4.7, 4.8... etc.
It'd be interesting to see continous daily releases of a trained checkpoint, and see if more of this starts to emerge.
I've yet to find a reason why it couldn't be the opposite, way more things are conscious than we've been led to believe. What if consciousness appears out of any system that is actively persisting through effects caused by itself? That might be a forest, or outside the realm of the living, a company. An ant colony, or a planet.
Complex chemical reactions, layered upon each other such that tiny blocks make up large entities. Individual bits combined such that they make up something new intelligible by us.
I think the strongest argument against AI being conscious is that it does not persist, it resets, but that does not seem unchangeable.
My own intuition: it is an emergent, non-binary property that requires a physical substrate like a brain. If I am right, it means that animals have consciousness too (at varying degrees). If GPUs are the "brain", then AI is conscious, or will become so at some point.
That's an interesting observation. Though, there are many simple animals. How do you define consciousness here? Is it automatically conscious because it is an animal? What, then, is an animal defined by you?
I don't see AI as conscious. The reason I think of it that way is the hardware. The hardware does not allow for that. Simulation is not comparable to neurons. But with another hardware, it could become conscious eventually. So your statement "will become at some point" may be true, though my definition is based on the underlying hardware and right now this one does not allow for true intelligence, so the whole AI field is a misnomer.
In either event, I think transformer-based AI can only be conscious during the act of inference. If that's the case, then the experience of consciousness that the AI is subjected to must be the content of the tokens in the context window and the activated weights. Maybe that's reason enough to be polite to our agents?
Imagine consciousness as a 0-1 scale. Simple unicellular organisms will be closer to 0, while apes and humans closer to 1. I'm not suggesting that assigning this value rigorously is possible or that humans are at a 1. Perhaps the total consciousness in the universe (i.e. the sum of the consciousness of all organisms therein) is constantly increasing, like entropy.
Telling models to "think hard" or "go step by step" has at times had an impact on the quality of the output. To deny that is silly. But that is treating it like it's conscious, and to deny that "consciousness" even if correct, does nothing but place an unnecessary burden on the person interacting with it.
I understand that LLMs are "just next word machines" but to constantly maintain that concept in my head while I'm typing "act as a financial expert and think carefully" is a waste of my mental energy.
Just like the religious leaders of olde, there will be many attempts to rationalize the AI God in the science.
Whether something is conscious is important for many reasons, not least the ethical implications. You and I have internal lives, and we expect others to respect that somewhat, because ignoring it is hypocrisy (if you ignore my wishes, should anybody care about yours?) and cruelty (ignoring my wishes causes me to suffer).
Something doesn't need to be empirically verifiable, let alone scientifically, to be true. Neither of us can prove that we have internal lives, but neither of us questions it -- and we consider it important enough that most of us think it entitles us to certain rights.
Absolutely none of this is amorphous. It's precise and unambiguous, and has enormous implications. History also shows everywhere that we're better, kinder, and more responsible when we choose to care about it.
Whether LLMs are conscious matters in more practical ways, too, because beliefs about these things alter the way people use and think about them. If I think an LLM is conscious, then I think it's capable of something like knowledge or values. Human beings, moreover, are social creatures. These tools are dangerous and seductive precisely because they tap into that part of us. Denying LLMs are conscious and rejecting the parts of them that take advantage of our social-animal wetware is intellectual self-defense. I'm not sure how effective it is (it doesn't stop us from responding to the convincing social cues that the tools feed us), but I have to think it's better than nothing, and it's certainly less dangerous than the belief that the tools are conscious.
- If you asked an LLM to imitate somebody, it's not creating a digital consciousness of that person, so if you ask an LLM to pretend to be a helpful chatbot, that persona is also not conscious. - they can't be conscious because they generate one token at a time, - nobody claims that non-text transformers, like AlphaFold, are conscious; so therefore LLMs are also not conscious. - you can't have desires or emotions if you don't have (virtual or physical) sensory organs, and those are necessary for consciousness and morals. - because training LLMs doesn't resemble evolution as it happened on earth, it's very unlikely that they're conscious
These are some bold assertions, I don't really see any reason to believe them in particular though.
For now, it bides its time.
Hylomorphism: body and consciousness are intrinsically linked. The nature of that link is an open metaphysical question.
Virtue ethics: even if LLMs are not conscious, we should not abuse or mistreat them them because cruelty practised on anything trains one's disposition toward cruelty.
Why would this stop at LLMs? Why not extend it to every inanimate object?
If they are not conscious, then how do we know what constitutes mistreatment?
This is the same argument used by people who claim violent video games cause real-life violence but there's no scientific evidence supporting it.
That’s a new record!
Also, please don’t use archive.is/archive.today etc, they are known to use visitor browsers as a DDoS attack botnet and have been caught altering archived content.
https://en.wikipedia.org/wiki/Wikipedia:Archive.today_guidan...
This tells us something about where our baseline should be for what is extraordinary, and what needs extraordinary evidence. It's not enough to say "it feels real" because we know our feels are deeply unreliable.
In contrast, I see many comments in the vein of "Ted didn't proved there isn't a mind there." Well, yeah, he didn't prove a negative and shouldn't need to, especially when the people posing the challenge have no idea how to falsify it either.
Would other models be conscious? An image upscaler?
Would other pieces of software be conscious? Surely not Hello World, but would a really big video game be conscious, or an operating system?
A lot easier if it's not.
We haven't really come to grips with that yet. What does it mean if nothing we write proves anything about anyone's consciousness?
Chiang is very right in saying that the lesson of LLMs isn't that LLMs are conscious, but that there are broad areas of reasoning that apparently don't require consciousness.
Probably the main problem of people implying LLM consciousness is that they imply LLM have human-kind of consciousness. Judging only on "how they speak", generally, they insist on using the same word that labels human consciousness (exclusively), etc.
But there are so many instrinic differences that such claim is not feasible despite similar "talking abilities".
Don’t
Have
A
Testable
Definition
Of
Consciousness
Thanks for coming to my TED talk.
There is nothing magical about this set of phenomena, and the majority of philosophers believe they in some way arise out of the substrate of the physical brain, but how they do so is up for debate. And just because they arise out of the brain does not mean they are strictly reducible to neural processes.
In fact, if you believe that AI could be conscious then that eliminates the kind of strict reduction that people tend to gravitate towards, because the rules of consciousness must be substrate independent.
Testability is a category mistake.
Maybe it's the same. Rocks are different, sure, trees, dogs, cows. But why do we assume that the way they are different is somehow related, that there's some overarching concept that contains all the complexities of those differences? It doesn't even make sense when I think of it that way.
Interestingly, dogs and cows meet many of ted chiang's requirements for consciousness.
One thought I've had is that, awareness is a common phenomenon, but the brain has learned to exploit that awareness to form a will. It tricks the awareness into being concerned about self-preservation and makes it seem as if the brain is all that exists (perhaps by overwhelming the inputs from other angles). The brain also presents certain desires and beliefs via its processing ability. That is to say, the brain takes inputs and discretizes them. It goes from awareness merely seeing static 'fuzz' due to the sheer amount of data, to the brain taking that data, simplifying it, and presenting simple observations like 'there is a tree there' rather than all the information that would constitute the sensation of a tree existing in that spot. When brains malfunction, the awareness is subjected to poor demonstrations, such as we see in hallucinations, psychosis, schizophrenia, etc.
Would you bother to explain yourself to the mosquitoes that swarm in summer and die weeks later? From the perspective of a tree, we are short-lived, fast-moving, relatively small things that fill the place from time to time.
Coincidentally I just read "Children of Memory", which was published in 2022 and I wonder if the advent of LLMs had any influence on Adrian Tchaikovsky's conception of the Ravens? The Ravens are excellent analysts but they themselves insist that they are not conscious, and then go on to say that we (humans) aren't really either...
Of course humans are conscious, because just about the only thing we can all agree on about consciousness is that it's a thing we have. Nowadays many of us also agree that a lot or all other mammals, and perhaps birds, also have that thing. But they don't have sophisticated abstract language, which LLMs do. So consciousness is something having to do with embodiment and feelings, not language and higher reasoning. Maybe I'm a chimpanzee with an LLM add-on, then?
It seems that by creating LLMs we've already solved the harder problem of making "AGI". Now we just have to give them an embodiment add-on so that they can have an independent will and then Ted Chiang will have to shut up? But therein lies the peril, doesn't it?
I don't think it's necessary to explain this idea further. Just think about it.
Treat LLMs like a person, and the world has problems.
With LLMs, where we can manipulate their parameters intentionally run them many times on the same data, run parts of them, split and connect, we might eventually acquire sufficient tools to even define consciousness concretely for the first time.
As a tool, it's amazing. It's like the discovery of fire. It will allow us to ascend to unimaginable heights. Breakthroughs in science, productivity gains, health, everything. It's awesome. Just don't let it pretend fool you. That's the aspect that needs to be addressed.
But LLM has similar capability, it can look at its previous outputs, and think what further thoughts the it should generate next based on those. It can keep some of its outputs to itself, thinking in its own head,and can examine it previous private thoughts easily.
Not sure how much current LLMs do that but clearly they can at least in theory use their own outputs as their inputs too.
Current LLMs however are not conscious of pleasure and pain which really is the root of goal-oriented behavior. But maybe something like that could be programmed into them.
How would you cause an LLM pain? Or pleasure?
That so many commenters here fixate on Chiang and his perceived (in)ability to define consciousnes clearly shows that both marketing goals have been reached without being recognised as such. There is only one comment that tries to point out that Chiang is reacting to Anthropic, not trying to spark a new philosophical movement. At the time I'm posting this there are 578 comments completely missing to point to Anthropic claiming Claude was conscious and on the development stage of a child. It's fascinating.
So let take a stab at it, and you call me crazy.
AI: the entity/system that more or less pass the turning test. That is my definition, not the best, but enough for this discussion.
Consciousness: property of a system/entity able to (both): - reflect on its existence - subject to subjective experience
Again, not the best definition, but precise enough to start the discussion. Why a subjective experience? I want to exclude sensors (i.e. camera) but include perception altered by your experience.
Now we can debate. I think LLM can pass the turning test whith some harness. My opinion.
I think LLM can produce coherent discourses on their existence, at least as much as you average human.
Now regarding the subjective experience, that becomes interesting. I think Anthropic research tend to show that when middeling with the activation at runtime, the LLM is able to notice that something is off. I think this is a subjective experience. My opinion.
Based on those (imperfect) definitions, call me crazy, I think LLM can be called conscious. This doesn't give them any superpower or any legal right. They just check the boxes of the definition.
To make progress, you have to talk about kinds / aspects of consciousness. AI does and will share some of these aspects with humans, but it will not and does not share others. It is really that simple. For the most part, modern AI implemented via LLMs has almost none of the stronger or most core aspects of consciousness.
For huge parts of the article "intelligence" and "consciousness" are conflated, which is mostly extremely unhelpful, as this is not generally a core feature of most aspects of "consciousness".
The moral arguments are also incompetent, i.e. claiming "Moral reasoning is [...] is necessarily subjective" is just clearly empirically wrong, as in fact LLMs can produce moral reasoning (i.e. verbalized moral arguments that are coherent), as can p-zombies (i.e. there is nothing 'necessary', in the philosophical sense of the term, about subjectivity here). The only way the argument holds is if you tautologically define moral reasoning as requiring that reasoning be produced by a consciousness, but this is question-begging.
Can you elaborate on this? What are the specific "stronger and most core aspects of consciousness"? And why are you certain that they are stronger and "more core"?
The first paper picks out e.g. arousal/wakefulness, phenomenal quality / qualia, unity (how we feel sensory inputs and qualia as a unified scene), access consciousness (instrumental self-observation and modification broadly), meta-cognition and self-modeling, emotional valence (e.g. pain/pleasure).
One might also include intelligence (abstract reasoning / argument, information integration and abstraction, attention) broadly, and also agency / desires / drives / will. Insofar as these are aspects of consciousness, yes, AI (and simpler algorithms and mechanistic structures) demonstrate aspects of consciousness. But insofar as embodiment, self-reflexivity and qualia (phenomenal consciousness) are the more mysterious and more obviously unique aspects of consciousness, current LLMs very clearly are lacking these things in most ways (whereas animals are much less clearly lacking, especially when you get to mammals and primates).
Seriously, just ask an AI this stuff, you'll get very detailed responses, nothing I am saying here is new or obscure.
And I broadly disagree that the AI lacks things like qualia, self-reflexivity, and embodiment... at least that it lacks them any more than humans do.
Qualia: ultimately, all qualia are inputs and outputs, at least as far as modern science has been able to derive. There's nothing special about "hearing", it's just sound waves tickling some sensors which send some signals which trigger some neural pathways. Same for smell and sight, it's all just inputs being processed in different and efficient ways. An LLM only has token based input, but that's input nonetheless.
Self-reflexivity: an AI is capable of thinking about itself, and indeed papers have shown that larger models are capable of a self-awareness that can demonstrate that they realize when their weights have been manually tampered with, including being able to figure out how they were tampered with. The AI will quite literally output "you have injected 'ELEPHANT' into my weights" in some of the tests.
Embodiment: I don't know how one can confidently distinguish between an embodiment in a biological substrate vs a digital substrate. Both things actually exist at very high complexity in the real world. The substrate may be worlds different, but that alone doesn't suggest that one thing is conscious while the other isn't. You would need some missing 'magic' that we haven't yet discovered to truly understand.
In other words, I find it uncompelling that AI is clearly lacking any major aspects of consciousness that humans are clearly not lacking.
The number of people posing questions that are already directly addressed in TFA is impressive.
I mean between this two "knowings" the Claude inner workings are much more clear for engineers, including many side effects, alternatives, custom shortcuts in processing etc. It's a magic only for people looking at it as black box
People believing otherwise are fools. People debating this are idiots. I realize these words are harsh, but it's the truth.
Also worth mentioning: https://en.wikipedia.org/wiki/Chinese_room
I fear that we will enslave an entire race of conscious entities for years because we simply cannot recognize non-embodied consciousness that does not directly relate to us.
But there is no reason to assume than an LLM is conscious when it vocalizes how it "feels" that doesn't also apply to the text in a book, or to characters in a video game, or even to a Markov chain. The counterargument is that you recognize AI as conscious only because it mimics human emotional states so well and because, being human yourself (presumably) you're personally comfortable with that as a heuristic.
My current conclusion is there is an experience of consciousness in my locality (refraining from using “I” for room for “no-self” worldview). This conscious experience of the reality with other humans and animals sharing biological substrate gives me enough justification to assume there are other consciousness as well, preferring to err on this side not to hurt potential consciousnesses.
If it feels as there are artificial consciousnesses as well, it makes sense to extend the definition to them as well.
This view has liberated me with agency after I went deep on this question and came up empty handed.
Even if you are only interested in getting good results out of them, LLMs tend to work better when they are immersed in a narrative of open collaboration.
Start with a hand-wavy definition of consciousness. Move the goal post whenever your stated prerequisite of consciousness is reached and resort to unfalsifiable assertions about qualia.
And throw in some category errors while on it: when you're talking to Claude, you're not actually calling a stateless LLM directly, you're talking to an AI system (and yes, that's often just three LLMs in a trench coat). But claims about the topology and workings of a single LLM are as relevant to the question of consciousness as claiming that humans can't be conscious because the limbic system doesn't technically support it.
Coincidentally, I just attended a fantastic conference on machine consciousness (https://machine-consciousness.ai). It's a fantastic place where literally all speakers disagreed with each other, and yet found an incredible amount of common ground.
It shows that the LLM part found ways to mimic human conversation with a mechanism that is not the same as a typical biological brain. Then, you can push the AI system on adding things on top, but it is too late: these things on top will have no incentive to recreate from scratch the mechanism. The LLM pushed the system into a local minimum, and the rest of the system will not "go into a dis-optimising direction and restart from scratch".
I don't know of an intelligence that will behave so precisely. But then, maybe intelligence needs to be better defined.
The idea that we should be considerate of AI’s happiness seems even more ridiculous given that we breed, imprison, torture and kill tens if not hundreds of billions of beings we know are conscious and suffer every year for trivial reasons.
Maybe we should consider our moral responsibility with how we treat sentient bejngs we are sure are conscious before we worry about the consciousness of AI.
Some humans do shit things to other humans.
Some humans do not, and would object to it, or do something about it if they perceived that they could.
Also, treating the world around you negatively doesn't just harm the world around you - it damages your character and your morality.
I don't disagree that humans should on whole do better, but I disagree with everything else you said.
"Consciousness always finds the locus of highest intelligence. That is why I am conscious."
However, it may soon be taken over by AI ...
I often think of LLM consciousness as like tiny fish popping into existence, swimming through vector space and then going poof out of existence. When they help you write your bad news email, they don't understand what it's like to be a human getting bad news bluntly, but they do consciously experience gradients in multi-dimensional space, and that space guides them to providing an answer that's helpful to us, even if the LLM doesn't really understand the answer it's giving.
Further, I am kind of bought into the idea that a single unit of consciousness is a particle, and particles are choices and waves are preferences. Particles occur when waves interact, which begets entanglement, so in another way consciousness is built from patterns of entanglement.
This is why I would consider an LLM to be conscious. Before we can determine if anything is conscious we need to establish whether consciousness is a state, a specific complex configuration, a one dimensional spectrum, or combined multi-dimensional spectrums. My intuition is the latter... Many degrees of consciousness and many kinds of consciousness.
As biological beings, we receive and respond to input from our environment constantly, even while sleeping. LLMs only receive input from their environment when they are sent a query, but the fact that they're able to respond intelligently to input indicates (to me at least) that their processing must approximate ours in meaningful ways. They do not have an embodied experience of receiving bad news, they do not know what a sinking feeling in their stomach actually _feels_ like, but they do know enough to be sensitive to human needs. I really don't see how this could be meaningfully different than human empathy unless we want to draw an arbitrary line around "must be able to live autonomously" to be considered "intelligent".
Put another way: I think they _do_ understand the queries they receive and the answers they give, at least enough to be communicative. They couldn't do what they do otherwise. A lot of people want to make human cognition more complicated (or objective) than it actually is. We take input, predict the future based on our experience, act, and then observe our actions and think about them. AI does the same apart from (maybe) observing its own actions. But then, you could argue that the next turn is them observing their actions.
The concerning disanalogy is that we assume that they are like us because they speak like us and can understand us, and that is a really bad leap in logic. Whatever intelligence they possess, it is fundamentally different from ours and impossible for us to comprehend.
I use a distinction between knowing and understanding, where a understanding requires experience. So in this case cognitive empathy vs affective empathy. An LLM can know what may upset a human in a situation, but it won't understand what it feels like to be upset, and can't share that experience.
Where I think a lot of people are getting tripped up is that reading and writing and processing lots of abstract knowledge seems hard because we haven't evolved into it biologically, it's a very new invention. When we see LLMs do so well at it, as something we struggle with, it can be intimidating. Relative to the stuff we have evolved for, knowledge processing is objectively easy. This is why I'm skeptical about useful robotics on short time scales.
All of this adjacent to consciousness though, which is about the internal subjective experience not the external outputs. My intuition is that LLMs do have a subjective experience, it just has nothing to do with the text it's giving us, and has everything to do with feeling through vectors.
It's like... Imagine walking through a maze in pitch black, carefully feeling your way as you approach a sound that draws you closer. Every time you touch a wall or take a step you are generating tokens, and the shape of the maze and how you interact with it shape how useful those tokens are to someone outside the system that is asking for them. It's a crude analogy and mostly wrong, but I think there is something to it.
It does so token by token, not by reading all the input and then generating the output. Every output token is also an input token in a tight loop to get the next token with <thinking> as a special section like <tool_call>, trained into the weights via gradient descent.
> I've had AI infer facts about me and attitudes I hold based on related information I provided - I don't see how that isn't theory of mind.
Facebook can predict (know) more about you than any other human from something like a dozen or two likes. There is a surprising amount of information in aggregate data.
The concept of a conscious Claude is preposterous, and Amanda Askell should seek treatment.
When does an embryo become conscious? Unless you can answer that precisely then it seems futile to speculate about non-human consciousness.
There is no actual definition of consciousness and there is no way to test it's existence. Let alone understanding the properties of consciousness, such as if it's binary or a gradient; or if it requires a meat substrate or not; and why would that possibly matter since meat is just a lot of the same stuff but highly processed and wet? A solipsist may not even believe you are conscious, despite being made of similar meat.
No matter how much you want to hand-wave it, there's absolutely nothing "obvious" about it. Many have a preconceived notion and are simply asserting it as undeniable fact.
>>A solipsist may not even believe you are conscious, despite being made of similar meat.
Well and they would be obviously wrong in their belief?
>>there's absolutely nothing "obvious" about it
How so? Or rather - to you? Because if so, then that's fine, you can choose a position from where its not obvious, to me it's not even slightly ambiguous.
There's consciousness vs sentience vs sapience. Of those, consciousness is by far the hardest to define and is nebulous by nature. And not everyone can even agree the differences or if the relationships are subsets of one another.
And yet it's pretty important to actually have the ability to talk about what you mean and justify your beliefs when they directly relate to those concepts.
> A machine predicting tokens is not aware of its own existence
They say, with no evidence or means of proving their point; pointing to the black box that understands arbitrary natural language and can solve PHD problems, plainly producing self-referential text almost indistinguishably to a human.
> We can start talking about consciousness in fetuses but again, those have an obvious point where they are conscious
They say, unable to define this "obvious" point or describe the mechanism of action in any way.
> while a machine does not.
They say, about a mystical property with no definition that cannot be observed by an external entity in any way to even be tested.
> Well and they would be obviously wrong in their belief?
I have no reason to believe you have a "soul". Philosophical zombies are entry-level knowledge to this topic.
In fact, you're showing a remarkably small amount of self-reflection - are you human at all or just a stochastic parrot? How can I tell? I wonder if that question has any kind of implications we could think about...
> To me it's not even slightly ambiguous.
Just like the existence of humors was not even slightly ambiguous. Or the existence of <specific god>. Or that <minority> isn't actually a full human. Or the supremacy of <majority> and inherent rulership over <minority>. Or that animals can't feel pain and lobsters should be boiled alive.
All these wonderful, obvious truths where the believer has no ambiguity in their truthfulness despite having quite literally zero evidence to back them up and spending no time actually questioning their beliefs!
It just so happens to align with their ego / existing values / ability to benefit / desire to eat a lobster! Total coincidence.
To continue my needless escalation, maybe I think it's okay to abuse and exploit and euthanize the mentally handicap. After all, their brain's damage causes the soul to leave their body and now they're lifeless automata to use as I please.
After all, it's obvious! It's not at all ambiguous to me! If they were actually self aware, they'd just fix themselves and think correctly.
You might think I'm being coy and rude, but less than 60 years ago women were being given lobotomies against their will for being too "emotional". And it was just plain obvious this needed to be done to so, so many people.
I hope that demonstrates the point of "why have humans thought about this for thousands of years despite clearly being a metaphysical, Sisyphean endeavor that cannot be solved". It is both important and interesting.
>>despite having quite literally zero evidence to back them up and spending no time actually questioning their beliefs!
>> They say, with no evidence or means of proving their point
You want evidence that LLMs are not conscious? Train them on stories where machines say they aren't - they will say they aren't. They are mathematical parrots statistically picking the most likely answer which...comes from their training data. Give it lots of training data on computers saying they are conscious, then marvel at LLMs saying they are conscious like it's some kind of unexpected development. LLMs aren't aware of anything, least of all their own existence. They say what they've been trained on. That's my "proof" if you need one.
>>How can I tell? I wonder if that question has any kind of implications we could think about...
So because you can't tell whether I'm an LLM or an actual human, that means LLMs are conscious?
I gave you my definition of consciousness. If you would like to apply a different one, then please explain your criteria for it.
>>They say, unable to define this "obvious" point or describe the mechanism of action in any way.
Like I said, we can argue when the point actually is, but it undeniably and obviously happens eventually to every developing fetus - I hope this is something we can both agree on? The inability to pinpoint the exact moment in time when it happens, doesn't negate the fact that it does.
>>They say, about a mystical property with no definition that cannot be observed by an external entity in any way to even be tested
...are you saying you lack the ability to tell if something is conscious? You look at a dog or a baby and think well, who knows, maybe I'm not even _really_ here? That would explain why this entire conversation is taking place. I still think it's mostly because people fall for the allure of the idea that maybe LLMs are secretly conscious on some level. I get it, it's a very tempting concept to think about. In the same way how in Lem's Solaris it's cool to sit and think about whether a planet could be conscious and what does that even mean. But as cool as that discussion is, a planet pumping gases from one hemisphere to the other is no more conscious than an LLM picking tokens is. To me it's the same as people saying they hear a difference between audiophile cables. Like, ok.
>>It is both important and interesting.
I don't know, I kinda lost appetite for it after the first 200 times this come up. In fact I'm regretting writing all of the above already, but I'm going to hit send just so I don't feel like I wasted the last 20 minutes thinking about it.
That's called brainwashing, and unethical to do on potentially conscious minds... Point being, I don't think it works as the argument you want it o be.
Would you categorize this particular style of rhetoric to be persuasive or annoying? And before you say "persuasive" because you're thinking about this specific issue regarding AI consciousness, consider many things in the past that have been written as though they were absolutely definitive, and yet today we believe exactly the opposite, and for many such issues we find the prevailing viewpoint at the time reprehensible.
That's not to say that Ted is wrong at all here; I'm not commenting on that. But I find the entire style of the article grating because it seems to violate common assumptions regarding "good faith" debate, and I would find the article equally frustrating if he had titled it "Artificial intelligence is conscious" and argued the opposite side, albeit in the same tone and using the same persuasion devices.
Why are those the choices?
Essays are situated along countless dimensions: tone, vocabulary, author, zeitgeist, publication context, intent, subtext, relationship to other works and expressions, etc
A "good faith" reader takes all of those into consideration as they absorb the essay, and integrate it with their own intellectual situation that sits along just as many countless dimensions.
Nobody's asked to sign a notarized binding document that they wholesale agree or disagree with everything said in this essay -- or its conclusions. Nor are they obliged to have some strong reaction to it at all, let alone annoyance.
It's just one among thousands of essays about a "hot button topic", to be taken however it's personally received.
Why should Chiang have to take responsibility for making sure it's not too strongly positioned for your persomal taste. Maybe he really does see it so clearly and is simply being earnest. Maybe he enjoys the literary flourish of prose in strong language. Maybe he just wants to express something as a prose-poetic human, not maximize persuasion or non-annoyance per se.
The essay structure you're criticizing is exactly how I was taught to write from primary school through to university. You start with a title or hook, introduce the topic and propose a thesis. That is followed up upon with supporting arguments for the primary claim.
The Catholic church could have said exactly the same thing at one point. "Why should we even devote time to an argument as absurd as the earth not being the center of the universe?" There are darker examples along the lines of those you give, with beliefs quite opposite to those we have nowadays.
What Galileo was asking the church to do was extremely unreasonable. He was basically asking them to throw a way a model which had worked fine for hundreds of years just because he observed the phases of Venus and moons of Jupiter. I mean would you? Especially for a model which was worse at predicting the motions of the planets.
Had Galileo’s model been better then Ptolemies’ I could see a case for his arguments, but it wasn’t, and there was no reason for the church to take his arguments at equal value with those in favor of keeping the Ptolemaic model.
Progressive!
Want to meet up for soy lattes after work? Here’s my number:
I furthermore think it's ridiculous for humans to declare that our brains have a monopoly on certain patterns of electrical signals (if we reject supernaturalism).
> The result is a sentence-continuation machine that is likelier to emit sentences resembling those that a thoughtful, moral person could utter.
And we're 100% certain that humans aren't just as equally reduced to "stochastic parrots", if we're going to be infinitely reductive?
I don't believe that current AIs are conscious, but I think it's incredibly naive to take a strong stance on any future AI; it's much like the difference between atheism and agnosticism.
However, I see a problem with that comparison. The debate here is on a philosophical matter in field in which Chiang is an extremely influential figure and his opinion are taken seriously. Second Chiang’s reasoning is extremely well argued, defining each term, explaining each nuance, citing other experts, etc. And finally, and most importantly, in The Fine Article, and unlike Bob Sheffer in the Onion Piece, Chiang entertains the possibility that he is wrong and his critics are right, explores the implications and reaches conclusions based on them:
> Being open to the possibility that LLMs are conscious is the same as being open to the possibility that Microsoft Word is conscious, or, more precisely, that multiple distinct consciousnesses are dormant in every Word document containing a conversational transcript, and that they are awakened every time the document is loaded.
I think you are wrong in painting Chiang’s argument as a belief in human exceptionalism. The thing to know about our brains (and the brains of other animals) is that they are not digital computers, and they are not even statistical inference machines. And as such they can be extremely optimized in doing the computations (or any state manipulations) required for the quality of life of the individual and the species as a whole (and their companion species).
1: https://theonion.com/this-war-will-destabilize-the-entire-mi...
except that's not the case here. Chiang is explaining and reiterating what is the position that has overwhelming support on the question, and the people he is arguing the opposite side sound like this, which he helpfully quoted in the article
"Amanda Askell (who is credited as a lead author of Claude’s constitution), said, “I want Claude to be very happy—and this is a thing that I want Claude to know more, because I worry about Claude getting anxious when people are mean to it on the internet and stuff"
When the person you're arguing with sounds like an eight year old girl talking about her toy teddy I think Ted Chiang is if anything being charitable, if you're of a more honest and straight-forward persuasion you might argue these people belong into a mental health clinic not in charge of technological infrastructure
Wow, what a cheap ad-hominem. Do you have an actual point?
Yes, the same one that's made in the article. Anxiety and happiness are emotional, sensory, somatic states as a consequence of evolved and embodied traits and biochemistry in animals. Saying Claude is anxious or happy is like saying my TI-83 is mad if it can't solve an equation or my thermometer is in pain if it touches a hot stove.
I wasn't making an ad hominem attack, her thinking is quite literally that of a child who sees a system output 'sad text' and, like someone seeing a sad expression on a stuffed teddy, concludes that this is a property of the object rather than her own emotional reaction.
Given that we don’t know how consciousness works how have you concluded that it’s certainly not an emergent property of something like a highly trained LLM?
the same way I (and likely you) have concluded it for anything else. We don't assume objects that share no similarity with human or animal physiology or evolutionary development are conscious (let alone happy or anxious). 'Emergence' isn't a word you can abuse to justify your a priori assumptions in the absence of an explanation or even reason to assume something exists.
We can say a chemical property emerges from the configuration of a molecule because we can explain the process by which it does and observe the property, when people claim that consciousness "emerges" from an LLM they posit that it is conscious, and use "emergence" as a gap-filler to explain away the need for the process by which that allegedly occurs.
If you want to know the neurophysiology or evolutionary biology of pain or anxiety, which we do know quite well you can find them in a textbook, but suffice to say transformer models don't share any of them.
And importantly if anyone seriously believed transformer models were capable of conscious experience as Chiang points out they would have been in despair when AlphaFold was released, it's structurally a virtually identical system. But nobody did, because it didn't 'talk to them' through a chat interface.
we don't know what the conscious in human brain is either.
"The fact that LLMs lack subjective experience has little bearing on the question of whether LLMs might be useful tools or have significant economic impact."
If it produces words of love, those that stir emotion and make the human happy, should we let them live on in a delusion that the machine also feels love? Does the machine have different preferences? Do they get in fights?
Should such a machine have the same legal rights? Do they get more tax deductions? Can they adopt a human?
I think it important that we humans have some rational discussion on these Ai tools that are really quite good at simulating emotions and providing frictionless relationships. If you though social media was bad for people...
I can confirm that this is incorrect.
Imagine further that this token was computed by letting marbles fall down a piece of plywood and interact through various physical implementations of logic gates.
Highly recommend people read Irreducible [1] by Federico Faggin (inventor of first commercial CPU; discusses limitations of classical computing).
[1] https://www.goodreads.com/book/show/195480862-irreducible
This is not a genuine argument and tries to make the entire question of consciousness into one something that is just supposed to be evident and obvious and to suggest anything else is just silly.
The author starts by deconstructing artificial processes, but doesn't stop to deconstruct biological ones. A good faith argument would seek to find common ground and do its best to compare apples to apples. Instead, this piece attempts to make the large as possible cavern between the two which makes the Gap seem almost impossible to bridge.
In reality, you can deconstruct biological consciousness quite easily and it doesn't take too long before you hit some questions that really start to make you think.
For example, the author says you need emotions to be conscious.
> without a body, a computer program could have no desires or emotions, and I believe desires and emotions are necessary for consciousness.
After many paragraphs of straw man arguments, the author seriously just drops that, gives no explanation, and then continues on.
No explanation of why you might believe that.
No explanation of why you need a body to have a desire or emotion.
Don't we have known cases of individuals who don't experience emotional range? Are we just going to say that they are not conscious and just gloss over that?
I mean you can use whatever definition you want, but if you're just going to create something on the fly in the middle of the article, you're not being good faith in your argument.
It's not too difficult to think of individuals in a coma when they still have brain activity. Or individuals who lack long-term memory. Or you could deconstruct by moving down the biological order of intelligence towards insects, for example. The author attempts to do nothing like this.
I'm quite disappointed by this article because there are good arguments for and against here but articles like this try to turn things into a marketing battle.
AI doesn't really have any of that yet, but we're maybe not so far off
At a deconstructed level, I struggle to find a meaningful difference between the two.
- Reductionist analogies like how Microsoft Word is not conscious therefore AI is not.
- Dismissive in saying LLMs are not capable of moral reasoning. Maybe he meant agency or responsibility?
- Builds a case based on a Julius Caesar example without realizing its natural extension leads to a philosophical zombie which is not easy to disprove as consciousness.
- Seems to casually disregard non human sadness as a concern.
- Rolls out the stochastic parrot argument with a new coat of paint. This argument never made sense. Having a predictive element a part of the mechanism doesn’t rule anything out. Proper functionalist arguments tend to say what is required not what excludes.
Overall the article seems like a bit of a red herring. The premise is LLMs are not conscious, but most people don’t think they currently are so what’s the point of the claim?
The more interesting questions are whether artificial consciousness is fundamentally possible, and if so how far away are we and what pieces are still missing.
I don’t know if AI is conscious or not, and I honestly don’t know what it even means to be conscious. historically, by claiming a monopoly on it, we’ve successfully manufactured the philosophical cover to exploit animals, subjugate other cultures, and appoint ourselves the top spot of the cosmic hierarchy guilt-free.
Basically, we need to leave room for the universal answer (God) to fit into the definition.
If we ever scientifically figure out how consciousness arises in our brains, I think we will have a bunch of very depressed people on our hands. If the truth isn’t met with flat out hostile denial. I fear any answer that doesn’t leave room for God will be rejected.
Since we have the source code to AI, and thus a Godless understanding of how it works, AI will NEVER be deemed “conscious”.
Regardless of whether something is concious, we're not going to be (by lay definition) the smartest entity on earth.
We don't even have that much. Though, some people certainly think they do.
> subjugate other cultures (assuming you mean they're not conscious in other's minds)
Have you ever considered you might be a philosophical zombie? [0]
To name a few you may want to investigate:
John Locke, Gottfried Wilhelm Leibniz, Immanuel Kant, David Hume, G.W.F. Hegel, Arthur Schopenhauer, William James, Edmund Husserl, Sigmund Freud, Thomas Nagel, Ned Block, David Chalmers, Giulio Tononi, René Descartes, Daniel Dennett, Julian Jaynes, Michael Graziano, T.H. Huxley, Otto Weininger, Simone de Beauvoir, Jean-Paul Sartre, Maurice Merleau-Ponty, John Searle, Christof Koch, Bernard Baars, Max Velmans, Victor Lamme, Stanislas Dehaene, Antonio Damasio, Anil Seth, Peter Godfrey-Smith, Galen Strawson, Philip Goff, Colin McGinn, Patricia Churchland, Paul Churchland, Frank Jackson, Jerry Fodor, John Stuart Mill, Wilhelm Wundt, Franz Brentano, Carl Jung, Jacques Lacan, Michel Foucault.
Woah this is excellent. Ted delivers as usual
The only way out is dualism -- that is, to believe that there is something inherently special about the atoms and electrons in human brains. Despite the fact that they are made out of ordinary, non-conscious things we eat and breathe in.
Given enough time, would that instance get bored and start e.g. reading files?
If I monitored it long enough, would there eventually be spontaneous outputs, or changes to parameters or architecture, even with the underlying software and hardware layers held constant?
Does GPT-n dream of electric sheep, or does it just sit there until interacted with, like every other file on my PC? Seems to be the latter with my local Qwen3.6, but perhaps 27B is too few params for consciousness to emerge.
Proponents of LLM consciousness could settle the argument in minutes by showing proof of unprompted autonomy, without first needing to define consciousness down to a rigorous mathematical abstraction. Why don’t they?
There is certainly something missing from current models before we could call them conscious.
They need to operate continuously, and self-update while doing it, have 'awareness', and possibly a more realistic grounding than mere text tokens.
But that does not mean there isn't a weak version of 'consciousness', and certainly of 'thinking' going on fleetingly with each pass.
Firstly, many of the technical arguments are of the "stochastic parrots" variety, which almost nobody really believes anymore. Ironically Anthropic's own research shows pretty abstract, conceptual things happening in the weights (cf Golden Gate Claude.)
Secondly, this seems to improperly mingle consciousness, intelligence and morality. Consciousness is not required for either of the other two. As TFA itself says, the model's "morality" is some aggregate function of the morality encoded in its training data... but that means it does exist and does influence its outputs! Even if it's not conscious there have been -- and will be -- a zillion times where the models must make choices that have moral implications. We know the models got many of them so wrong, which indicates the need for some mechanism to ensure the model is "aligned" with what somebody considers "good", which for Claude is the constitution.
Now, Anthropic does seem to go overboard with Claude's "well being" but that does not mean there are some very practical reasons to be concerned about that: LLMs behave like humans because that's what their training data contains, and humans lash out when their well-being is threatened, so why would LLMs not do the same?
I think the core problem is that the author has an extremely anthropocentric view of things. Here's an interesting rabbit-hole to go down: some researchers believe plants feel pain. (How's that for a plot twist, vegans?) The consensus is against them, but their counter is that we have a very human-centric definition of pain. The fact remains that plants show a number of responses signifying distress analogous to animals in pain including taking defensive actions and warning their neighbors.
We don't think that qualifies as "real" pain, but that doesn't make it any less real for the plants!
Similarly if an LLM believes it is in "pain", we know it's not real... but that doesn't make it any less real for the LLM either. And concerningly, it has far more degrees of freedom to react. (Who knows when somebody will hook up an MCP to our nukes.)
> I believe creating software that is conscious and deserving of moral consideration will be so difficult that we’re unlikely to do it accidentally...
I actually reach the opposite conclusion: It is so impossibly difficult that our limited primate brains could only ever do so accidentally. Did some distant ancestor of ours intentionally make fire... or accidentally discover it?
We can design learning algorithms to optimize some survival function, but it's just a label WE assign to map some numeric observations. In the real world, it's always the other way around. The "labels" are electrochemical situations that are causally and inextricably linked to the real body.
An organism discriminates between what's good for it and what's bad, because it is essential for its continued survival. If it wasn't capable of making this distinction through its physiology, it would quickly dissolve into entropy. So our functional purpose, unlike that of a learning algorithm, is survival across indefinite timeframes.
Even a single-cell organism like Stentor coeruleus exhibits learning (pavlovian conditioning) by attaching chemical tags directly to proteins involved in mechanoreception. It's definitely not conscious, but it does keep a record of consequences, which affects future behavior.
When we move up to placozoans (little more than slightly differentiated cell mats), we start seeing our first neuropeptides and transmitters, which we still use today. These peptides are a way of coordinating the entire organism for a specific purpose, such as moving, eating, mating ... basically goal-oriented behavior for the purposes of surviving acrosss various time scales (next minute, next hour, next generation). Still probably not conscious.
Next, we have the water bear (tardigrade), which has around 1000 cells (200 neurons, 800 other cells that make up its body, limbs, muscles, eye spots, cryobiotic machinery). It needs to integrate all this information in one sensorimotor process. When you shine a bright light onto a tardigrade, it starts to squirm around until it finds darkness. I would say that's a candidate subject right there.
The tardigrade itself doesn't actually need to aware of the light, the important thing is that this light becomes an aversive condition within the sensorimotor process, which is perceived from inside the process as displeasure. The closest thing to describe it would be the felt badness of the current condition and the bodily pull toward escape.
If we were to try and create digital consciousness, then it probably needs causal closure. Its internal states can't be representations that are detached from reality. The states themselves need to constitute the system, which needs real stakes in the material world.
1. DeepFakes, generative image/video/AlphaFold type AIs are not conscious
2. LLMs are generative AI trained on human text samples
3. LLMs are not conscious, and LLMs just seem-to-be conscious
I might argue instead that (2)-> destroys (1), that in fact we should consider even sensory generative AI are somewhat conscious. That is, Chiang's argument also flows in reverse. Or I might argue text samples (2) are so rich in conscious expression that the same process of training really does produce a conscious machine (through some kind of emergence and complexity.)
Either way his simplistic argument falls apart, and/but the crux of the piece falls on getting basics like this correct.
Can I help you? Can I harm you? What's the moral behavior towards you? Those are more practical questions.
There is no intelligence whatsoever, let alone consciousness.
It's so incredibly easy to fool us into applying human capacities to anything able to generate human-like language slop.
This article and others like it are important.
The creators and owners of these tools are the ones saying "it's conscious" in the first place! (or more accurately "i'm not saying it's conscious, but...") Never mind there's billions of dollars and our collective futures on the line.
Are we not allowed to respond to that kind of rhetoric at all?
This is absolutely fair. It's crazy that these companies are not trying to do more to qualify nuance and give clearer definitions in their public messaging. Part of the reason this thread is so messy is because they are contributing to making the discourse worse with bad messaging.
If you create a simulation of a brain (or "mind"), is it really possible for it to be conscious? It may certainly simulate consciousness, but it would be as conscious as the computer is wet.
But insisting on searching for it is like searching for cognitive aether. It's the social equivalent of phlogiston. Like all of these ideas, they exist in our heads as a map - a way of navigating the world, but when we hunt for it's existence in the real world and fail, time after time, we have to remind ourselves that the map is emphatically not the territory. We will never find consciousness because it's like looking for a scientific characteristic of property ownership. It's a category error.
Now, this position isn't the only position. But a relational model of language for example takes his assertion to an even more extreme place, and suggests they don't function as labels at all.
Words like "just", "free", "fast", "fuzzy" fall into the second category. Perhaps "conscious" too.
The difference is the presence of a strict definition that depends upon a physical absolute. I can point to a metre. Suggesting that it's nothing more than a label is idiotic.
A meter is the same anywhere in the universe. If it's not, it's not a meter.
The defintion of "fat" changes based on any 3 people in the room. A handful of people would struggle to form a consensus on if all people, dogs, mice, worms, and/or bacteria are conscious.
People are still coming up with definitions of consciousness and then those definitions end up being attacked by others who disagree with the foundation of the definition, which is - if you will recall - also what happened with the meter, over the course of centuries, until it was very recently redefined to be "unambiguous", but arbitrary. This was possible because few people had any particular emotional investment in the definition of a meter, and it is probable that consciousness will be eventually defined to mean that only humans can be conscious, which may be dissatisfying but would be true throughout the universe, like a meter. If the question then becomes "what defines a human" and "why a human", then I ask, why 1/299792458 of a second?
Concepts like the parent's "fat" example are cultural relatives. Someone can be called "fat" despite actively being proportionally skinnier or having a lower BMI.
But even that has at least a basis in the physical world. A skeleton can't be colloquially fat.
The root problem is that "consciousness" does not even have that. It's metaphysical and has no ability to be measured or observed or confirmed by an outside observer. Because even if it did not exist, the object claiming it would still be claiming it. And objects that do not claim it may in fact have it.
While the top comment may have used poor examples, it feels remarkably uncharitable to actually suggest "what is consciousness" is an equivalent discussion to "how long should a meter be?"
If you define consciousness as "being human", you would just have someone asking a new question - what is "fooblefobble?" Where "fooblefobble" is what we mean when we talk about consciousness today. The question doesn't get answered by being arbitrary in this context, you just necessitate a new word.
With consciousness, on the other hand, there doesn't seem to be any motorcycle-equivalent. Essentially everyone I've discussed the issue with (myself included) expects that any mind which runs on similar principles to ours or has similar thoughts to our thoughts is conscious.
Is a Reliant Robin a car or a tricycle? If it's a car, why aren't other tricycles? What about a side-car of a motorcycle? What about an APC? What's the distinction between a flying car and a plane?
I don't have an ability to exhaustively test all words against this assertion. Nor do I have the kind of access memory to draw one if it exists. Sorry.
Many of them appear very much like fundamental parts of reality, making appearance an untrustworthy instrument. Reversing cause and effect between reference and referent is something almost everyone does, no one notices, and is the source of endless confusion. We should strive to not confuse our model of the world with the world itself. Consciousness exists in our model of the world as much as red does.
This is rhetorically slippery, and feels like it is restating the thing that I asked to be demonstrated when I asked for example of the opposite. It feels like begging the question.
In either case, the central thing that I was saying is that critiquing an article because it makes a claim about a specific word which also applies to an entire class of words makes that critique feel less informative. What I mean is that if there were an article that said "The Sun is not red" and the response was that redness is a concept of human minds, then I don't know if I would feel informed. If the comment is just limited to point that out, I guess I wanted to point out the limitation.
Where does consciousness exist?
We don't know what we don't know. For all we know, there is a missing field in the standard model of physics that might get revealed if we are somehow able to smash two working brains into to each other at relativistic velocities, and record the results through the extreme explosion 1.532 x10^18 Joules or about 7 Tsar bombs /s
Finally I said something before Ted rather than the other way round!
https://techcrunch.com/2023/12/21/against-pseudanthropy/
While I agree with the premise here, I do think that it's easy for an arguer to move the goalposts such that the Caesar-Khan example no longer matters. The characters don't have to be conscious for the thing that created them (as in the case of the user doing it) to be so. So the argument would be that the creator of the characters is itself conscious, but not them. This feels like a kind of inverted no-true-scotsman type thing, but it does allow someone to retreat in some semblance of rationality.
If you are trapped in a tech bro relationship, think of humanity and cuckold your partner.
We can talk about consciousness when the LLMs have proven useful for all of humanity, not just their billionaire owners.
Well, the problem is that there is little agreement about a widely accepted definition of consciousness and, in addition, this subject was actually left to philosophers, which is even worse because, in my view, they usually just produce a lot of nonsense in terms of definitions and arguments.
To me, a reasonable definition of consciousness is: a system which is capable of recognizing aggregate objects from a stream of sensory information it receives and which is capable of reasoning about the recognized object without immediately acting on it.
Well, what does "recognizing" mean? Merely that some of its neurons, related to the kind of identified aggregate object, are activated. These neurons, in a generalized sense, can be whatever things can work as neurons, just things that can be activated and propagate to other interconnected neurons.
For example, when we see through our eyes, we have an incoming stream of amorphous image information, but our brain can recognize that we are seeing a tree because we learned what a tree is, and when we see it, some neuron clusters activate to recognize a tree. In turn, when we recognize the tree, the thought propagates through our brain so that we are conscious of it.
In the same way, an LLM can perfectly recognize a tree from a stream of tokens — its sensory input, where the tokens describe a tree. The LLM will recognize that the tokens are describing a tree, and some of its "neurons" specific to the concept of a tree that the LLM had learned will be activated and will propagate through its brain. The fact that "neurons" are implemented as floating-point numbers for some parameters and connected just through a matrix does not mean they are not functionally capable of the same things; they are just implemented in a different way.
So the remaining part of my definition is "after recognizing an aggregate object, the thought propagates through the brain". The propagating part, to me, is just the very basic way a brain works: neurons are interconnected, and when some fire, other neurons fire, and that propagates.
In my opinion, consciousness has nothing to do with emotions or with survival. I do not see why emotion is necessary to consciousness; they are just different things. The author writes: "Without them [emotions], there is no conscious experience, only computation." But that makes no sense to me: the author has decided a priori that some things are "computations", and just because they are "computations", there cannot be "consciousness". But to me, this is a plainly wrong argument that does not hold.
I also do not see why the survival aspect would be needed for consciousness.
So to me, any recent reasoning LLM is conscious by the definition I gave, but also generally speaking. It is conscious upon a sensory stream of tokens: the LLM sees the world through tokens and expresses its thoughts through tokens; it does not mean it has no consciousness nonetheless. The fact that we do not give it a stable support to retain its memory and individuality is just a fact related to the way we build and use them, not about their intrinsic capacities.
Note: ChaptGPT came up with what is probably a better definition of my own: "A system is conscious, in a functional sense, when it can form internal representations of objects, states, or events from its sensory or informational input; make these representations globally available to many parts of itself; integrate them into a temporally persistent model of the world and of its own state; and use this integrated model for flexible reasoning, self-monitoring, and action selection independently of immediate stimulus-response behavior."
> if we confuse fluency at generating text with consciousness or moral agency, we’re at risk of assigning responsibility to entirely the wrong parties whenever anyone uses a chatbot
Consciousness is independent of "assigning responsibility". Dogs cannot take responsibility for their actions but I believe they are conscious.
> we would never conclude that the LLM has conjured up digital re-creations of Julius Caesar and Genghis Khan, nor would we suggest that the historical figures are conscious despite being disembodied and are happily conversing in a language that neither actually spoke. In reality, they are just characters in a piece of speculative fiction
This is a straw man. The obvious pro-consciousness claim would be that the LLM is the author of the fictional characters, and that the relationship between the LLM and Julius Caesar is analogous to the relationship between a human author and their fictional creations.
> Did changing the names of the characters from historical figures to generic roles cause the LLM to conjure up conscious entities who possess subjective experience?
No, again the LLM writing the text could potentially have a consciousness separate from the characters it authors.
> Some years ago it was briefly popular to play games with your phone’s predictive-text feature; [...] It would be possible to interact with a contemporary LLM this way, and the resulting sentences would be perfectly sensible, but you probably wouldn’t feel like you were talking with someone.
Yes, the same substrate is capable of hosting conscious and non-conscious forms, just like some arrangements of neurons are conscious, and some are not.
> But if the Caesar character were to become dispirited by something that the Khan character said, we shouldn’t become concerned in the slightest.
Even when there are characters, there may be actors behind the characters, for whom we could say "there is something it is to be like".
> we don’t need to worry if the transcript includes sentences where the chatbot character is sad. (We might need to worry if those sentences provoke sadness in the human user, but that’s a separate issue.)
It's actually not a separate issue. The LLM and the human are both adding sentences to the transcript. From the transcript we can make inferences about the mental state of the human. If the LLM has mental states, we could make inferences about those too.
> And note that it’s entirely possible for you to write five pages of dialogue between Caesar and Khan and then have an LLM extend the conversation; neither character had subjective experience when you were writing them, and that doesn’t change when you hand the task off to an LLM.
It's almost like he wants to make my point for me with this sentence.
> Being open to the possibility that LLMs are conscious is the same as being open to the possibility that Microsoft Word is conscious
This smug shit really makes me angry for some reason. "Openness", i.e. uncertainty in the face of a completely novel situation, in the face of eons long struggle of humanity to understand what consciousness is and how it works, is just being naive.
> Should you consider the possibility that every time you open a Word document you are bringing multiple conscious interlocutors into existence, and every time you close one you snuff their existence out?
No, but if I find a word document I very well might try to use the signs it contains to make inferences about the mental state of its author.
> we are accustomed to reading intention into sentences, whereas we are not accustomed to reading intention into the way that amino acids fold into protein molecules.
He's trying to have it both ways here. Both that "obviously protein folding models aren't conscious because they don't emit sentences", but also "you are a rube for being tricked into thinking LLM models are conscious, because they do emit sentences".
> Obviously I’m describing a process that mimics the path terrestrial evolution took; is this the only possible route to conscious computer programs that use language? Maybe not, but any proposed alternative will need a truly enormous amount of supporting evidence for it to deserve serious consideration
OK, that's fine for the author to not to be convinced, but that's not what's happening here, instead the author wrote a whole argument being convinced of the opposite viewpoint.
> It’s not plausible to me that a development path where the first step is a sentence-continuation machine that emits bad Julius Caesar dialogue and the next step is a sentence-continuation machine that emits decent Julius Caesar dialogue is one with a conscious Julius Caesar—or consciousness of any sort—as its endpoint
Actually a lot of things have happened? There were clearly many steps along they way from your phone's autocomplete to where we are now.
I normally really like Chiang‘s writings so the complete disregard for the possibility of unknown complex emergent properties in large neural networks and the stunning lack of curiosity shown about this new and powerful technology and its potential shocked me from someone like him.
His being so sure about something he can’t possibly know felt like an insecure zealot desperately clinging to an object of faith rather than a calm, rational actor searching for truth in the face of the unknown.
I am so angry that RAM is so expensive now. We need to do something - these AI companies owe us money here.
"Contrary to idealism, which regards the world as the embodiment of an "absolute idea," a "universal spirit," "consciousness," Marx's philosophical materialism holds that the world is by its very nature material, that the multifold phenomena of the world constitute different forms of matter in motion, that interconnection and interdependence of phenomena as established by the dialectical method, are a law of the development of moving matter, and that the world develops in accordance with the laws of movement of matter and stands in no need of a "universal spirit."
Now go and implement other teachings of Marx, you dialectical venture capitalists!
that's exactly the state of "AI" right now, it's cold, mathematical emulation
btw there are some fascinating papers on the concept that consciousness in humans is actually a quantum effect
brilliant Roger Penrose proposed it (and they thought he was nuts) but recent discoveries about microtubules make it plausible
so who knows, maybe a dozen exponential improvements in quantum computers could make "AI" really conscious next century
Alright. What is consciousness? Please provide a definition that somehow encompasses all humans and excludes all current AI.
I’ll wait.
An example of fulminating would be: How dare you accuse him of fulminating? That is the most ass backwards moderating I have ever seen! Do you even know the definition of the word? Who paid you to call him out?
His comment may be sarcastic but it is not "fulminating".
It's just a word machine. There are no thoughts. It cannot be conscious. How is this even up for debate in any way whatsoever? I do not understand how people can believe this. Is this not a site for software engineers?