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But it is very silly otherwise, you know, to kind of say that, you know, like, you don't get like physical glucose molecules out of a simulation. Like, that's a terrible argument. And like that, there is just so many like bad arguments. And I think, I mean, basically this starts, yeah, basically the part where I actually give you some kind of like important background frameworks so that we can actually make progress here. And then I will go over the classic examples and conclude with kind of like the most up-to-date understanding that we have at QRI. So important background is first of all, Mars levels of analysis, which is David Marr, a cognitive scientist. He has a book called Unvision, which is one of the earliest works on the AI of machine vision. And in the introduction, which is a wonderful, wonderful piece, you know, if you study psychology or cognitive science and you don't read Mars levels of analysis, you're really missing out on a very, very critical framework. And it's kind of day and night between people who grasp it and people who don't when it comes to the clarity of the discussion. Okay. So this framework is that you can analyze an information processing system by dissecting into three layers of abstraction. The first one is essentially what it does. And Marr calls that the computational layer of abstraction, although most people would talk about it as the functional layer of abstraction. In other words, what is the input to output mapping of the system and what is kind of the runtime complexity, which, you know, differentiates two systems that maybe have the same input output mapping, but you know, that runtime complexity is different. Yeah. From the outside, they have like different, you know, causal effects and that matters. Then there is the algorithmic layer of analysis, which is like not only the input and output, but also the internal ways in which the information is being handled. What are the internal representations? What are the precise algorithms? What kind of like data structures are you using? So that is the algorithmic layer of analysis. And finally, we have the implementation layer of analysis, which is actually how it is built. And like one example here would be an abacus, you know, could be made of wood, it could be made of metal or something like that. But at the algorithmic level of analysis, they're the same. You know, you may be doing the same algorithms. But basically in this frame, in the classical formulation, each layer under constraints the one underneath. That is to say there are many ways of generating the same input output function with the same runtime complexity with many different algorithms. Basically, just knowing the input output doesn't fully constrain what is actually going on under the hood, so to speak. And likewise, you know, if you're given like pseudocode for a particular algorithm, like that under constraints

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what is the physical implementation. So that also kind of like really matters. Even though you may read like, okay, like to add or to multiply in an abacus, you know, do this particular pattern, this procedure that doesn't tell you whether the abacus is made of wood or metal. Okay. So and I think like for the most part, most like pretty well informed smart people around tend to basically segment these layers of abstraction and treat them in a piecemeal fashion. I will add, though, and this is very critical and actually is absolutely essential to solve, you know, the big problem here is that there is sometimes interaction between the layers of abstraction. Because there are particular physical systems that essentially make some algorithms easier than others. With an extreme example is, you know, if you have access to quantum mechanics, you can basically do quantum computing algorithms that are specifically targeted for, you know, these quantum mechanical phenomena. And in that sense, the algorithm, you know, actually does touch, you know, the implementation layer. And like, you know, if you read kind of the pseudocode for a quantum computing algorithm and you don't know that quantum mechanics is a thing, that algorithm doesn't make any sense. You know, you will say like, okay, what about like this step? You know, you're claiming that this step, you know, does a factorization very efficiently. But like, how would you do that in practice? And somebody has to tell you, well, actually use the Schrödinger wave function, you know, and okay. In other words, in some contexts, there is actually ways in which the lower layers give rise to particular constraints on the higher layers. And that is very important. And we will come back to that. But classically, they tend to be analyzed in a piecemeal fashion. And importantly, we can basically describe different theories of consciousness in terms of at what layer of abstraction of Mars levels of analysis do they assign consciousness. There is what I call basically the being function divide, that like different theories of consciousness will say that like, hey, everything above here is just what the algorithm in a sense, what the consciousness kind of like looks like to the world. And underneath is like what the consciousness is fundamentally. Okay. So first of all, we have functionalism. And the thing is, like, people use the term functionalism in a number of different ways. For the purpose of this video, I'll describe it as talking of consciousness as a function, basically, as doing a particular type of information processing. And that is concerned with what is the input to output mapping, and maybe even what is the runtime complexity of the system here implemented. Apologies. So that would be functionalism. Then we also have like computational theories of consciousness. And they would say, by and large, that consciousness is happening at the algorithmic level of analysis, which is to say that it's

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text:
not only the input output is not only like what it does, but also how it does it. And like those internal representations are actually essential. And without those internal representations, and those in particular, you know, the consciousness would be different. So they actually care about like what algorithms are implementing the system. Then we have like causal structural theories, for example, like IIT. And those they're concerned with the computational layer, basically with the algorithmic layer of analysis, but they add additional constraints. I mean, for them, you could say that they're kind of like at the at the boundary between the implementation and the computational layer. So like for them, like, yes, particular algorithms have to be instantiated. But then the precise way those algorithms are instantiated also matters. Basically, their information flow only gets quote unquote integrated when the precise causal structure is in place. And finally, you have a physicalist theories of consciousness that they will say, consciousness is a thing rather than a process. And at QRI, that's what we actually advocate for, for physicalist theories. I know this is the underdog nowadays. I'll just say, wait 20 years, mark my words. But yeah, I mean, OK, so like physicalism basically says the world is made of things, actually particles and fields and particular configurations of those correspond to instantaneous moments of experiences. And a particular structure of that, of those objects corresponds to actually what's going on at the, you know, when it comes to what is the information in the phenomenology of a given experience. And I mean, first of all, physicalism fell out of favor for many reasons in philosophy. And the crazy thing is that I agree with those reasons. I actually agree with the criticisms that functionalists and computational theorists, you know, provide against physicalism. One of them, for example, is epiphenomenalism, which is like in what ways is the fact that, you know, like an embodied physical state has consciousness matter from the point of view of evolution? Like just because it has kind of like this additional label that says like, oh yeah, and this pattern, by the way, is also conscious. Not only it has this particular behavior, like what does that add? You know, and that brings us yet to the hard problem of consciousness, that if you can describe something in terms of form and function, where does the consciousness come into place in here? You know, it seems kind of like really arbitrary and random. And that's a perfectly fair criticism. But I'll have a really good response towards the end of this video. So now let's get onto the classical, classical problems. So first of all, you know, Chinese Room by John Searle, where basically I don't need to go too much into detail because you guys probably know this thought experiment. But basically he's saying that if you have a box or like a room where there's somebody inside with a

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rule book that allows them to basically take Chinese symbols, do operations on them, and then return some other Chinese symbols, the person inside may like not know at all what they're doing. But then from kind of a system point of view, from outside, it seems like the box is actually smart. It actually has understanding of what is going on. And actually, I remember like in a class on natural language understanding, you know, in the AI, you know, component of the computer science department at Stanford, it was a graduate course. And I remember the Chinese Room was brought up. And I remember the entire room thought it was like, oh, these like silly, stupid philosophy, like, ah, when is philosophy good for anything? Let us just do the work. And basically, they all like by a very large margin, I think like the vast majority of people in that class and the professors, yeah, basically just assumed that, hey, if you have like a system that actually understands from a functional point of view, like you talk to it and it talks back and it passes a Turing test, that like, because that's such a hard problem, such a complicated, you know, system processing that needs to happen with internal representations and a lot of like context brought into place and so on, like that, yes, of course, that has some like level of like minimal consciousness at the very least. But here's the thing. The Chinese Room is made fun of, but actually, I think in a completely unfair way. Why? Because substitute, you know, the person inside the Chinese Room by a lookup table, where like literally, you know, for any combination of symbols that you put in, it just looks up in that lookup table what symbols to return. So there, there's literally no information about the content of the symbols in the operation that happens. It's just a lookup operation. So just from the point of view of the outside, you know, the input output mapping is clearly not enough. Because even, you know, within a computational theory of consciousness, you know, account and a lookup table simply doesn't have the internal representations needed, right? So the Chinese Room, even though the standard kind of argument that Searle presents is like, hey, like you'd never get semantics from syntax. The point is like, you know, like standard responses by a computational theory of consciousness person would say, yes, but like enough, you know, complexity in the syntax actually gives rise to emergent semantics. And I think like that view can be defended to a large extent, but it still requires internal representations and a lookup table isn't it, you know, so really, I think like the Chinese Room, just to make it more stark, really should be replaced with a lookup table. And then you will see actually people reckoning with kind of this, this problem. A very classic response that I

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get when I kind of extend the Chinese Room in this way is that the computation did happen and it was conscious, but it was like before when you created the lookup table. And like, sure, like that's one argument, but it still does mean that like you had maybe one conscious experience that now kind of like is able to scale up its behavior in an unconscious fashion. So like, you still have the issue that like every time you use the machine, you know, the Chinese Room, the machine, the lookup table, like you're not generating a new moment of experience. So like that alone, I think it's a very important part and that kind of like, yeah, it rules out in a sense, like theories of consciousness that just stay at the functional level, you know, because lookup tables can take care of that. So at the computational level though, it's a little bit more tricky. And here is where, yeah, basically the, I actually require to explain what are the actual desiderata, like what is that we are trying to explain when we talk about consciousness. And an analogy here would be, you know, if you're trying to get to the moon and if you have like a bunch of scientists who are like thinking about how to get into the moon, how do you know, take a person to the moon and back, you know, maybe that entire room of scientists like are aware of maybe like the, you know, the Newton's laws of motion, in which case they will probably be focusing a lot of their energy into like, okay, how do we achieve escape velocity? And like, truth be told, achieving escape velocity is very important. You know, it's actually a subcomponent of going to the moon and back, but either also not taking into account, hey, how do we actually seal the spaceship so that people can actually breathe inside, you know, if they're not thinking about it because they're not aware that out there in space, there's no air, you know, they're not actually solving the full problem. They're maybe solving a component of the problem. And the truth though, is that in order to actually solve the problem, you need to take into account these constraints simultaneously, you know, because there's a lot of things that could achieve escape velocity, but they do it at the cost of basically creating completely inhospitable conditions. And likewise, you know, there's many things that could seal the, you know, a spaceship, but just too fragile, cannot, you know, be pushed through. So you require all of that together. You also require like, what is the fuel that you need to get, you know, out of the moon as well, because it also has a gravity well, you know, like gyroscopes in order to actually get back into the atmosphere and the proper angle, you need to take into account all of that, or

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text:
you're not actually solving the problem. The same with problems about scientific theory of consciousness. And I think like Mike Johnson in Principia Qualia, he has what I think is like the best frame here, which is that he has basically a decomposition of the problem of consciousness into eight sub problems. And the further claim that we are able to actually solve these eight sub problems, it is in a sense, a full solution to the hard problem of consciousness, with a caveat that we would still have to explain like why there is something rather than nothing, which is an important aspect. But a more kind of like succinct version of this is like David Pierce has these basically four sub problems that is the one that I tend to emphasize simply because it's like easy to communicate. But when I do actual research, you know, writing these papers, I go into much more detail, which is the eight sub problem of consciousness. But OK, so like what are the four problems of consciousness that David Pierce offers? First of all, any scientific theory of consciousness must be able to explain why consciousness exists to begin with. Like that's number one. Number two is it has to explain what is the relationship and the nature of all of the qualia values and varieties that we're acquainted with. Like in what way is color qualia and audio qualia related to each other? What is that state space? You know, that is a huge issue, largely neglected, at least as a complete question. Maybe there's like psychophysics about color, but they're usually not connected with like and what is the geometry of that state space and how does it relate to the geometry of audio and things like that. But at QRI, that's a very big topic for us. Then you also have, you know, what is the causal structure of consciousness? In other words, like how is it possible that we're even able to talk about consciousness, that we're just, you know, algorithms processing information? Why do we talk about these additional kind of like qualia rather than just talking about information processing per se? Of course, somebody like Daniel Dennett would say, like, actually, qualia is just a shorthand for information processing. You know, we disagree, obviously, but that's a very important thing that has to be addressed. Also, within that problem, you also have basically, why is it that evolution recruited bound states of consciousness for computation or for causal, you know, causal effects? And lastly, you have the binding problem. Like, how is it possible that, you know, 100 billion odd neurons spatially distributed and membrane bound, how can they simultaneously contribute to a unified experience? And that is the thing that actually made me reconsider. Those like the binding problem, discussions of the binding problem is essentially the thing that convinced me out of, yeah, basically a functionalist or a computational theory of mind understanding

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of consciousness. And the main thing is, a lot of functionalist and computational theories of mind people, essentially, they dismiss the binding problem. They think of it as a non-issue. For example, somebody like Daniel Dennett might say that we tend to think that our experience is much more rich and bound than it actually is. He has like these examples in Consciousness Explained where like his book, where like you look at a paper wall and like there's one, there's like tessellated with Marilyn Monroe's. And like how like there's these visual illusions where like maybe the detail of a lot of those Marilyn Monroe's is like missing, but you kind of like, you look at one of them with a lot of detail and it gives you the impression that all of the other ones also have a lot of detail. And he says like, yeah, that's just kind of your brain, not even out of completing it, but telling you or giving you the belief that you out of completed it, but it's actually illusory, which is actually something I disagree with. I actually think that when your visual field is like out of completing in a sense, those patterns, those patterns are really there in your visual field, that is qualia. And it is very rich. It's just that the mathematical structure of it is actually something that is called mongrels and mongrels. Yeah, they don't look like the normal, you know, they don't look like objects. They're actually like these statistical textures and they have a particular qualia and it is very rich. So generally speaking in the world of functionalist and computational theories of consciousness, there is this general kind of dismissal of the binding problem where they will say something like you're only really attend to one thing at a time, but you have the impression that you attend to multiple things at once. And here, you know, it's super important to point out the difference between attention and awareness. And the thing is that, yes, people like Dennett and others who are eliminativist or reductionist about consciousness, they tend to essentially only focus on attention. And they think that that is what consciousness is, kind of like the ability to like focus on a particular aspect of your experience. But actually your experience is composed simultaneously of an awareness field, which is massively parallel and has a massive amount of information, but you don't remember it for the most part, unless you attended to it. Because attending to things actually gives rise to a particular, you know, local feature binding where like, you know, to actually get a phase, you're required to attend to it because it requires the binding of, let's say like the nose and the eyes and the mouth in the proper way. And that requires attention. And for the most part, the only things you can report about your experience are the things you attended to. But that

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text:
does not mean in the least that you didn't also have an awareness field. And that is actually massively bound. You have an entire kind of like bubble world of experience on every given point in time, even though nominally you're only, you know, attending to something. And I've noticed also that this is particularly difficult to grasp for people who have, are on the spectrum, heavy or like Asperger's or mild autism. They find it really difficult actually to make the distinction between awareness and attention. And they tend to identify only with attention and kind of consider awareness illusory. But yeah, no, I mean, I think you do require awareness. Basically what is happening in the center point of your attention only makes sense within the context of the awareness field around you. And without that context, the meaning would be different. So actually even the meaning of a symbol or something like that contains many pieces of information simultaneously. And it requires that simultaneous coexistence of information or the meaning would, wouldn't be there. So basically what I have to say is that yes, Dennett, yes, we tend to think that our experience is more bound than it is, but even just any non-zero binding still requires a very, very good explanation. And the set of explanations that are thrown around in, you know, cognitive science and philosophy of mind are completely dissatisfactory for the most part. Unsatisfactory. For example, sometimes people say binding happens through synchrony, that basically synchronic activation of neurons kind of like binds together the features. But why would that be the case? You know, right now there's like neurons that in my brain and in your brain are firing simultaneously, you know, but they're not coupled together. Like why would just simultaneous firing actually bind experience? And, you know, likewise, you know, somebody like Dennett, we will say very, very truthfully that there is no center point in the brain where all of the information converges. And the thing is like, even if there was, you know, like that center point would have like spatial, you know, a spatial depth, you know, it would have like spatial extension and therefore like even no matter how tiny, you know, that point where the information gets concentrated, you would still have to explain how binding happens even within that space. So actually, you know, concentration of information wouldn't solve our problem. It doesn't get solved because you still have spatial extension. So it's a bit more complicated that, but you know, somebody like Dennett or other eliminativists and Brian Tomasik and other people in our sphere, Elias Ryutkowski, Luke Milhauser, et cetera, they essentially throw the towel. Basically they give up and they say that, yeah, I mean, basically awareness is consciousness is just kind of an internal representation of your attention or something like that. And that for that very reason, there's really no center point. Kind of like the unity of it

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is an illusion. It's like part of the content of the illusion is the unity of it. Except that, of course, for it to be an illusion, you know, it has to be presented to you in a unitary way to begin with. So anyway, they have it backwards, but that's, that's fine. Most importantly, though, synchrony of activity is definitely not enough for binding for simple relativistic reasons, because there's no universal frame of reference. So whether two neurons are firing actually at the same time, and I would claim that like if you want to use synchrony for like unity of experience, you need actual perfect synchrony. Why? Because what would it mean for things to be just partially, overlappingly bound? You know, and I mean, that's a whole issue. It's called neurological nihilism. But yeah, I mean, basically if a piece of, you know, a process or a physical system belongs to an experience in a loose way, you know, in principle, it could belong to more experience, more than one experience. Whereas, and likewise, you have kind of like endless generation of consciousness, because if you have like a system A and you append like something else to that system, such that now you have kind of like system A prime, which is like system A plus that part. A lot of computational theories of consciousness would say that, you know, the consciousness that A alone was generating will continue to be there, except that now you also have A prime. And I don't know about you, but like, you know, this essentially means that you get kind of this combinatorial explosion of actual experiences as you build up a system. And, you know, something like the multi-draft theory of consciousness, or yeah, Brian Tomasik's take on eliminativism. Yeah, basically that's what they're claiming, that there is no ground truth to what is the experience that you're having, because there's actually kind of this patchwork of like overlapping systems that are like loosely instantiating algorithms to various extents. But there's like no kind of like on or off nature of like whether something is conscious or not. Now, on the other hand, how we think of it as at QRI is that no, actually there's discrete moments of experience. And those moments of experience, the degree of consciousness has to do in a sense with how much energy they have and how much information. But, you know, no matter how tiny a speck of qualia is, it's still in some sense 100% conscious, because it is 100% made of qualia. You know, I don't think there's any sense in which you could say something like, yeah, this is half nothing and half qualia. Doesn't make any sense, right? It's like, if something is qualia, it's fully qualia. Yeah. So that's kind of an issue. And also, yeah, this kind of like endless multiplication of like observer moments as you complicate a system in a way that

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text:
just doesn't add up. Whereas, yeah, if you associate consciousness with something like physical energy, actually, you know, a lot of like physical preservation laws come into place and you cannot do weird consciousness exploiting, consciousness multiplying exploits, like just adding a tiny component to a system. And then you get like the previous system together with a new component and the new, you know, emergent dual system. Importantly, and I think I'll move on now to kind of like how we think about this. So how do you actually get something that is frame invariant? And here's where like actually connections with fundamental physics become very relevant, because only once you take into account actually kind of like the four dimensional nature of space time, and you take into account kind of the entire space at once, you see that, hey, reality is made of, in a sense, like bundles of energy. And the important thing is that from a causal point of view, actually having things that behave as units can have powerful evolutionary implications. So, okay, I'll just run through a couple of things. So functions are observer dependent. Okay. So like, first of all, we think that what a system is doing is something that depends on how you interpret it. And basically, even if you're a, you know, if you're a functionalist and you say that consciousness is a function, it's like something that does a particular type of input output mapping, that function as a whole doesn't exist, you know, for you to interpret this system as enacting that function, it requires you to, in a sense, take into account in your own mind, all of the input at once, and think of it as like a unit of information, and then taking into account the entirety of the output at once and taking that, interpreting that as kind of like a unit of an output. But that is happening in your mind, you know, physically in the world, and you know, even from a computational point of view, that information is not a natural kind, you know, like the information that you fed into the system doesn't stand as a unit other than in your mind, like in your mind is where that is has kind of this irreducible quality, but not physically and not computationally. So that makes really a functionalist accounts of consciousness just not frame invariant, they're just so open to interpretation. And no interpretation is like more true than than any other. They're basically just like, being assessed in terms of the utility that they may function for you. But without that observer, really, you know, the function doesn't have a frame invariant interpretation. Another very important thing is that you, you need a principled way in order to solve the binding problem that also allows it to have causal implications. And like, for example, a lot of like kind of free energy principle approaches to consciousness have the

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text:
problem that dynamic systems don't have natural boundaries. I mean, again, like what you interpret to be something a dynamic system is actually up for debate, you know, it really depends on the particular reason, the particular way in which you're interpreting that system for it to actually have a boundary. I guess I should clarify that. So I talked about like the boundary problem and the binding problem. They're really two sides of the same coin. So if you start out with a universe that basically has a bunch of particles and forces between them, then the question is like, okay, how do sets of particles come together to form unified experiences? Where does this kind of like quote unquote strong emerging comes from? And basically, yeah, we claim that in that framework, you need an actual mechanism of action to get that to happen. If you start out with everything being unified, and that is usually actually how we think about it at QRI that like the universe is fundamentally unified, you have this universal wave function of quantum mechanics that whose behavior is governed by the Schrodinger equation. We believe in that. We think that's true. And that wave function inherently works in a holistic fashion. You basically need to take into account the entirety of it in order to know how it evolves over time. And that kind of like fundamental unity then makes us ask the question, how do boundaries emerge such that you have a moment of experience and I have a moment of experience and we're different in a sense moments of experience, or even within yourself over the course of a second, you have many different moments of experiences. So how do those come about? So the question all of a sudden becomes like, how do you get those divisions? And I mean, being frank, most of the researchers in this area that talk about, for example, consciousness as a field, they tend to emphasize that field theories of consciousness solve the binding problem, because you have these like underlying unity, like if you claim that the conscious experience is basically an excitation of the electromagnetic field, like Susan Pocket or Mike Fadden, like in the semi, basically conscious electromagnetic information theory of consciousness. Those academics essentially, yeah, emphasize, hey, being a field, consciousness being a field solves the binding problem. What they don't tell you is that then you have the boundary problem, which is like, okay, but why only this patch of the field is actually what you are. And we have a solution. We actually have a solution. And the answer is topological segmentation. Essentially, I've provided this metaphor before, but it's pretty helpful. Like if you have, in a way, a balloon, and you think of the surface of the balloon as representing basically the field of consciousness that would be the universe in this panpsychistic interpretation, it's completely unified. And in that sense, you would be the

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text:
entire field. So where do kind of like boundaries arise? Where do individual moments of experience arise? So, but then if, let's say you twist it and maybe twisting it would be kind of like what the Schrodinger equation is doing to the way you function to the field. There's a precise moment where you get a pinch point, a topological segmentation. It's kind of like this collapsing of the surface. And here, in a sense, it provides a boundary where like all of a sudden you have all of these region of this field that the only way for you to go from one point in that region to the other one is to go through a pinch point, a one-dimensional collapsed, compactified region of the space. And in this model, actually what we are, these moments of experience would be kind of these pinch points, except that maybe we are higher dimensional in that sense. Sorry, I don't mean to sound a woop and say we are higher dimensional beings or something like that. No, but I mean, the way function has like, yeah, you know, 10 or 11 dimensions depending on how you count. But yeah, most of those dimensions are extremely rolled up, basically compactified. But basically, yeah, we are the way function. We are the universal fields of consciousness. That would be pretty high dimensional. And like what the brain might be doing is basically creating a pinch in those fields such that now you have these compactified dimensions that have objective boundaries. Okay. And the wonderful thing here is that postulating these objective boundaries actually solves a ton of philosophical problems. In particular, it actually addresses, okay, so let's go through like David Pierce's, like Desiderata. So basically you have, why is, you know, why does consciousness exist to begin with? Well, everything is conscious. I mean, the fields of physics or fields of consciousness, in a sense, we are now kind of trading that question to the question of why is there something rather than nothing? You know, why does consciousness, why is consciousness the thing that exists? And for that, I would refer you to my video of zero ontology, why there is something rather than nothing. So we've talked about that to a great extent. And you know, I'm not going to solve it right here. The second one is, you know, what is the full range of qualia values and varieties that we have access to? And they would be in a sense mapped on to different properties of the fields of physics. So for example, color qualia might have to do with a curl of the electromagnetic field. And I mean, in some sense, like fundamentally what would actually exist is color qualia. And then color qualia behaves in a way that is consistent with basically the curl of the electromagnetic field behaving that way. So it's kind of like switching the ontology around. But yeah, in a sense,

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