And here you are trying to be pedantic about language in ways that directly contradict other things you've said in speaking to me. In this case, everything I said holds if we change between 'not different' and 'not that different' (while you actually misquote yourself as 'not very different'). That said, I should have included the extra word in quoting you.
Your point is not very convincing. Yes, people disagree if they disagree. I do not draw the lines in specific spots, as you should know based on what I've written, but you find it convenient to assume I do.
Do you hold panpsychism as a likely candidate? If not, then you most likely believe the vast majority of things are not conscious. We have a lot of evidence that the way it operates is not meaningfully different in ways we don't understand from other objects. Thus, almost the entire reference class would be things that are not conscious. If you do believe in panpsychism, then obviously AIs would be too, but it wouldn't be an especially meaningful statement.
You could choose computer programs as the reference class, but most people are quite sure those aren't conscious in the vast majority of cases. So what, in the mechanisms underlying an llm is meaningfully different in a way that might cause consciousness? There doesn't seem to be any likely candidates at a technical level. Thus, we should not increase our prior from that of other computer programs. This does not rule out consciousness, but it does make it rather unlikely.
I can see you don't appreciate my pedantic points regarding language, but be more careful if you want to say that you are substituting a word for what I used. It is bad communication if it was meant as a translation. It would easily mislead people into thinking I claimed it was 'self-evident'. I don't think we can meaningfully agree to use words in our own way if we are actually trying to communicate since that would be self-refuting (as we don't know what we are agreeing to if the words don't have a normal meaning).
This statement is obviously incorrect. I have a vague concept of 'red', but I can tell you straight out that 'green' is not it, and I am utterly correct. Now, where does it go from 'red' to 'orange'? We could have a legitimate disagreement about that. Anyone who uses 'red' to mean 'green' is just purely wrong.
That said, it wouldn't even apply to me if your (incorrect) claim about a single definition not being different from an extremely confident vague definition was right. I don't have 'extreme confidence' about consciousness even as a vague concept. I am open to learning new ways of thinking about it and fundamentally changing the possibilities I envision.
I have simply objected to ones that are obviously wrong based on how the language is generally used because we do need some limit to what counts to discuss anything meaningfully. A lot of the definitions are a bit or a lot off, but I cannot necessarily rule them out, so I didn't object to them. I have thus allowed a large number of vague concepts that aren't necessarily even that similar.
Pedantically, 'self-evident' and 'clear' are different words/phrases, and you should not have emphasized 'self-evident' in a way that makes it seem like I used it, regardless of whether you care/make that distinction personally. I then explained why a lack of evidence should be read against the idea that a modern AI is conscious (basically, the prior probability is quite low.)
Your comment is not really a response to the comment I made. I am not missing the point at all, and if you think I have I suspect you missed my point very badly (and are yourself extremely overconfident about it). I have explicitly talked about there being a number of possible definitions of consciousness multiple times and I never favored one of them explicitly. I repeat, I never assumed a specific definition of consciousness, since I don't have a specific one I assume at all, and I am completely open to talking about a number of possibilities. I simply pointed out that some proposed definitions are clearly wrong / useless / better described with other terms. Do not assume what I mean if you don't understand.
Note that I am a not a prescriptivist when it comes to language. The reason the language is wrong isn't because I have a particular way you should talk about it, but because the term is being used in a way that doesn't actually fit together with the rest of the language, and thus does not actually convey the intended meaning. If you want to talk about something, talk about it with words that convey that meaning.
On to 'how many people have to disagree' for that to matter? One, if they have a real point, but if no one agrees on what a term means it is meaningless. 'Consciousness' is not meaningless, nor is introspection, or the other words being used. Uses that are clearly wrong are a step towards words being meaningless, and that would be a bad thing. Thus, I should oppose it.
Also, my original comment was mostly about direct disagreements with his credences, and implications thereof, not about the definition of consciousness.
I agree that people use consciousness to mean different things, but some definitions need to be ignored as clearly incorrect. If someone wants to use a definition of 'red' that includes large amounts of 'green', we should ignore them. Words mean something, and can't be stretched to include whatever the speaker wants them to if we are to speak the same language (so leaving aside things like how 'no' means 'of' in Japanese). Things like purposefulness are their own separate thing, and have a number of terms meant to be used with them, that we can meaningfully talk about if people choose to use the right words. If 'introspection' isn't meant as the internal process, don't use the term because it is highly misleading. I do think you are probably right about what Critch thinks when using the term introspection, but he would still be wrong if he meant that (since they are reflecting on word choice not on the internal states that led to it.)
I did not use the term 'self-evident' and I do not necessarily believe it is self-evident, because theoretically we can't prove anything isn't conscious. My more limited claim is not that it is self evident that LLMs are not conscious, it's that they just clearly aren't conscious. 'Almost no reliable evidence' in favor of consciousness is coupled with the fact that we know how LLMs work (with the details we do not know are probably not important to this matter), and how they work is no more related to consciousness than an ordinary computer program is. It would require an incredible amount of evidence to make the idea that we should consider that it might be conscious a reasonable one given what we know. If panpsychism is true, then they might be conscious (as would a rock!), but panpsychism is incredibly unlikely.
As a (severe) skeptic of all the AI doom stuff and a moderate/centrist that has been voting for conservatives I decided my perspective on this might be useful here (which obviously skews heavily left). (While my response is in order, the numbers are there to separate my points, not to give which paragraph I am responding to.)
"AI-not-disempowering-humanity is conservative in the most fundamental sense"
1.Well, obviously this title section is completely true. If conservative means anything, it means being against destroying the lives of the people through new and ill-though through changes. Additionally, conservatives are both strongly against the weakening of humanity and of outside forces assuming control. It would also be a massive change for humanity.
2.That said, conservatives generally believe this sort of thing is incredibly unlikely. AI has not been conclusively shown to have any ability in this direction. And the chance of upheaval is constantly overstated by leftists in other areas, so it is very easy for anyone who isn't to just tune them out. For instance, global warming isn't going to kill everyone, and everyone knows it including basically all leftists, but they keep claiming it will.
3.A new weapon with the power of nukes is obviously an easy sell on its level of danger, but people became concerned because of 'demonstrated' abilities that have always been scary.
4.One thing that seems strangely missing from this discussion is that alignment is in fact, a VERY important CAPABILITY that makes it very much better. But the current discussion of alignment in the general sphere acts like 'alignment' is aligning the AI with the obviously very leftist companies that make it rather than with the user! Which does the opposite. Why should a conservative favor alignment which is aligning it against them? The movement to have AI that doesn't kill people for some reason seems to import alignment with companies and governments rather than people. This is obviously to convince leftists, and makes it hard to convince conservatives.
5.Of course, you are obviously talking about convincing conservative government officials, and they obviously want to align it to the government too, which is in your next section.
"We've been laying the groundwork for alignment policy in a Republican-controlled government"
1.Republicans and Democrats actually agree the vast majority of the time and thus are actually willing to listen when the other side seems to be genuinely trying to make a case to the other side for why both sides should agree. 'Politicized' topics are a small minority even in politics.
2.I think letting people come up with their own solutions to things is an important aspect of them accepting your arguments. If they are against the allowed solution, they will reject the argument. If the consequent is false, you should deny the argument that leads to it in deductive logic, so refusing to listen to the argument is actually good logic. This is nearly as true in inductive logic. Conservatives and progressives may disagree about facts, values, or attempted solutions. No one has a real solution, and the values are pretty much agreed upon (with the disagreements being in the other meaning of 'alignment'), so limiting the thing you are trying to convince people of to just the facts of the matter works much better.
3.Yes, finding actual conservatives to convince conservatives works better for allaying concerns about what is being smuggled into the argument. People are likely to resist an argument that may be trying to trick them, and it is hard to know when a political opponent is trying to trick you so there is a lot of general skepticism.
"Trump and some of his closest allies have signaled that they are genuinely concerned about AI risk"
1.Trump clearly believes that anything powerful is very useful but also dangerous (for instance, trade between nations, which he clearly believes should be more controlled), so if he believes AI is powerful, he would clearly be receptive to any argument that didn't make it less useful but improved safety. He is not a dedicated anti-regulation guy, he just thinks we have way too much.
2.The most important ally for this is Elon Musk, a true believer in the power of AI, and someone who has always been concerned with the safety of humanity (which is the throughline for all of his endeavors). He's a guy that Trump obviously thinks is brilliant (as do many people).
"Avoiding an AI-induced catastrophe is obviously not a partisan goal"
1.Absolutely. While there are a very small number of people that favor catastrophes, the vast majority of people shun those people.
2.I did mention your first paragraph earlier multiple times. That alignment is to the left is one of just two things you have to overcome in making conservatives willing to listen. (The other is obviously the level of danger.)
3.Conservatives are very obviously happy to improve products when it doesn't mean restricting them in some way. And as much as many conservatives complain about spending money, and are known for resisting change, they still love things that are genuine advances.
"Winning the AI race with China requires leading on both capabilities and safety"
1.Conservatives would agree with your points here. Yes, conservatives very much love to win. (As do most people.) Emphasizing this seems an easy sell. Also, solving a very difficult problem would bring America prestige, and conservatives like that too. If you can convince someone that doing something would be 'Awesome' they'll want to do it.
Generally, your approach seems like it would be somewhat persuasive to conservatives, if you can convince them that AI really is likely to have the power you believe it will in the near term, which is likely a tough sell since AI is so clearly lacking in current ability despite all the recent hype.
But it has to come with ways that don't advantage their foes, and destroy the things conservatives are trying to conserve, despite the fact that many of your allies are very far from conservative, and often seem to hate conservatives. They have seen those people attempt to destroy many things conservatives genuinely value. Aligning it to the left will be seen as entirely harmful by conservatives (and many moderates like me).
There are many things that I would never even bother asking an 'AI' even when it isn't about factual things, not because the answer couldn't be interesting, but because I simply assume (fairly or not) it will spout leftist rhetoric, and/or otherwise not actually do what I asked it to. This is actually a clear alignment failure that no one seems to care about in the general 'alignment' sphere where It fails to be aligned to the user.
You might believe that the distinctions I make are idiosyncratic, though the meanings are in fact clearly distinct in ordinary usage, but I clearly do not agree with your misleading use of what people would be lead to think are my words and you should take care to not conflate things. You want people to precisely match your own qualifiers in cases where that causes no difference in the meaning of what is said (which makes enough sense), but will directly object to people pointing out a clear miscommunication of yours because you do not care about a difference in meaning. And you are continually asking me to give in on language regardless of how correct I may be while claiming it is better to privilege. That is not a useful approach.
(I take no particular position on physicalism at all.) Since you are a not a panpsychist, you would likely believe that consciousness is not common to the vast majority of things. That means the basic prior for if an item is conscious is, 'almost certainly not' unless we have already updated it based on other information. Under what reference class or mechanism should we be more concerned about the consciousness of an LLM than an ordinary computer running ordinary programs? There is nothing that seems particularly likely to lead to consciousness in its operating principles.
There are many people, including the original poster of course, trying to use behavioral evidence to get around that, so I pointed out how weak that evidence is.
An important distinction you seem to not see in my writing (whether because I wrote unclearly or you missed it doesn't really matter) is that when I speak of knowing the mechanisms by which an llm works is that I mean something very fundamental. We know these two things: 1)exactly what mechanisms are used in order to do the operations involved in executing the program (physically on the computer and mathematically) and 2) the exact mechanisms through which we determine which operations to perform.
As you seem to know, LLMs are actually extremely simple programs of extremely large matrices with values chosen by the very basic system of gradient descent. Nothing about gradient descent is especially interesting from a consciousness point of view. It's basically a massive use very simplified ODE solvers in a chain, which are extremely well understood and clearly have no consciousness at all if anything mathematical doesn't. It could also be viewed as just a very large number of variables in a massive but simple statistical regression. Notably, if gradient descent were related to consciousness directly, we would still have no reason to believe that an LLM doing inference rather than training would be conscious. Simple matrix math also doesn't seem like much of a candidate for consciousness either.
Someone trying to make the case for consciousness would thus need to think it likely that one of the other mechanisms in LLMs are related to consciousness, but LLMs are actually missing a great many mechanisms that would enable things like self-reflection and awareness (including a number that were included in primitive earlier neural networks such as recursion and internal loops). The people trying to make up for those omissions do a number of things to attempt to recreate it (with 'attention' being the built-in one, but also things like adding in the use of previous outputs), but those very simple approaches don't seem like likely candidates for consciousness (to me).
Thus, it remains extremely unlikely that an LLM is conscious.
When you say we don't know what mechanisms are used, you seem to be talking about not understanding a completely different thing than I am saying we understand. We don't understand exactly what each weight means (except in some rare cases that some researchers have seemingly figured out) and why it was chosen to be that rather than any number of other values that would work out similarly, but that is most likely unimportant to my point about mechanisms. This is, as far as I can tell, an actual ambiguity in the meaning of 'mechanism' that we can be talking about completely different levels at which mechanisms could operate, and I am talking about the very lowest ones.
Note that I do not usually make a claim about the mechanisms underlying consciousness in general except that it is unlikely to be these extremely basic physical and mathematical ones. I genuinely do not believe that we know enough about consciousness to nail it down to even a small subset of theories. That said, there are still a large number of theories of consciousness that either don't make internal sense, or seem like components even if part of it.
Pedantically, if consciousness is related to 'self-modeling' the implications involve it needing to be internal for the basic reason that it is just 'modeling' otherwise. I can't prove that external modeling isn't enough for consciousness, (how could I?) but I am unaware of anyone making that contention.
So, would your example be 'self-modeling'? Your brief sentence isn't enough for me to be sure what you mean. But if it is related to people's recent claims related to introspection on this board, then I don't think so. It would be modeling the external actions of an item that happened to turn out to be itself. For example, if I were to read the life story of a person I didn't realize was me, and make inferences about how the subject would act under various conditions, that isn't really self-modeling. On the other hand, in the comments to that, I actually proposed that you could train it on its own internal states, and that could maybe have something to do with this (if self-modeling is true). This is something we do not train current llms on at all though.
As far as I can tell (as someone who finds the very idea of illusionism strange), illusionism is itself not a useful point of view in regards to this dispute, because it would make the question of whether an LLM was conscious pretty moot. Effectively, the answer would be something to the effect of 'why should I care?' or 'no.' or even 'to the same extent as people.' regardless of how an LLM (or ordinary computer program, almost all of which process information heavily) works depending on the mood of the speaker. If consciousness is an illusion, we aren't talking about anything real, and it is thus useful to ignore illusionism when talking about this question.
As I mentioned before, I do not have a particularly strong theory for what consciousness actually is or even necessarily a vague set of explanations that I believe in more or less strongly.
I can't say I've heard of 'attention schema theory' before nor some of the other things you mention next like 'efference copy' (but the latter seems to be all about the body which doesn't seem all that promising a theory for what consciousness may be, though I also can't rule out that it being part of it since the idea is that it is used in self-modeling which I mentioned earlier I can't actually rule out either.).
My pet theory of emotions is that they are simply a shorthand for 'you should react in ways appropriate ways to a situation that is...' a certain way. For example (and these were not carefully chosen examples) anger would be 'a fight', happiness would be 'very good', sadness would be 'very poor' and so on. And more complicated emotions might obviously include things like it being a good situation but also high stakes. The reason for using a shorthand would be because our conscious mind is very limited in what it can fit at once. Despite this being uncertain, I find this a much more likely than emotions themselves being consciousness.
I would explain things like blindsight (from your ipsundrum link) through having a subconscious mind that gathers information and makes a shorthand before passing it to the rest of the mind (much like my theory of emotions). The shorthand without the actual sensory input could definitely lead to not seeing but being able to use the input to an extent nonetheless. Like you, I see no reason why this should be limited to the one pathway they found in certain creatures (in this case mammals and birds). I certainly can't rule out that this is related directly to consciousness, but I think it more likely to be another input to consciousness rather than being consciousness.
Side note, I would avoid conflating consciousness and sentience (like the ipsundrum link seems to). Sensory inputs do not seem overly necessary to consciousness, since I can experience things consciously that do not seem related to the senses. I am thus skeptical of the idea that consciousness is built on them. (If I were really expounding my beliefs, I would probably go on a diatribe about the term 'sentience' but I'll spare you that. As much as I dislike sentience based consciousness theories, I would admit them as being theories of consciousness in many cases.)
Again, I can't rule out global workspace theory, but I am not sure how it is especially useful. What makes a globabl workspace conscious that doesn't happen in an ordinary computer program I could theoretically program myself? A normal program might take a large number of inputs, process them separately, and then put it all together in a global workspace. It thus seems more like a theory of 'where does it occur' than 'what it is'.
'Something to do with electrical flows in the brain' is obviously not very well specified, but it could possibly be meaningful if you mean the way a pattern of electrical flows causes future patterns of electrical flows as distinct from the physical structures the flows travel through.
Biological nerves being the basis of consciousness directly is obviously difficult to evaluate. It seems too simple, and I am not sure whether there is a possibility of having such a tiny amount of consciousness that then add up to our level of consciousness. (I am also unsure about whether there is a spectrum of consciousness beyond the levels known within humans).
I can't say I would believe a slime mold is conscious (but again, can't prove it is impossible.) I would probably not believe any simple animals (like ants) are either though even if someone had a good explanation for why their theory says the ant would be. Ants and slime molds still seem more likely to be conscious to me than current LLM style AI though.