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of a sudden: haze and rain, unfathomable wind, mercury resting motionless. What kind of qualia chemistry did your brain just use to try to render those concepts? We are using features of consciousness -and the self-organizing principles it affords- to solve problems all the time without explicitly modeling this fact. In my conception of sentient intelligence, being able to recruit self-organizing principles of consciousness for meaningful computation is a pillar of any meaningfully intelligent mind. I think that largely this is what we are doing when humans become extremely good at something (from balancing discs to playing chess and empathizing with each other). We are creating very specialized qualia by finding the right self-organizing principles and then purifying/increasing their quality. To do an excellent modern day job that demands constraint satisfaction at multiple levels of analysis at once likely requires us to form something akin to High-Entropy Alloys of Consciousness. That is, we are usually a judiciously chosen mixture of many self-organizing principles balanced just right to produce a particular niche effect. Meta-Intelligence David Pearce’s conception of Full-spectrum Superintelligence is inspiring because it takes into account the state-space of consciousness (and what matters) in judging the quality of a certain

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text:
intelligence in addition to more traditional metrics. Indeed, as another key conceptual engineering move, I suggest that we can and need to enrich our conception of intelligence in addition to our conception of computation. So here is my attempt at enriching it further and adding another perspective. One way we can think of intelligence is as the ability to map a problem to a self-organizing principle that will “solve it for you” and having the capacity to instantiate that self-organizing principle. In other words, intelligence is, at least partly, about efficiency: you are successful to the extent that you can take a task that would generally require a large number of manual operations (which take time, effort, and are error-prone) and solve it in an “embodied” way. Ultimately, a complex system like the one we use for empathy mixes both serial and parallel self-organizing principles for computation. Empathy is enormously cognitively demanding rather than merely a personality trait (e.g. agreeableness), as it requires a complex mirroring capacity that stores and processes information in efficient ways. Exploring exotic states of consciousness is even more computationally demanding. Both are error-prone. Succinctly, I suggest we consider: One key facet of intelligence is the

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text:
capacity to solve problems by breaking them down into two distinct subproblems: (1) find a suitable self-organizing principle you can instantiate reliably, and (2) find out how to translate your problem to a format that our self-organizing principle can be pointed at so that it solves it for us. Here is a concrete example. If you want to disentangle a wire, you can try to first put it into a discrete datastructure like a graph, and then get the skeleton of the knot in a way that allows you to simplify it with Reidemeister moves (and get lost in the algorithmic complexity of the task). Or you could simply follow the lead of Yu et al. 2021(Yu et al. 2021) and make the surfaces repulsive and let this principle solve the problem for you. These repulsion-based disentanglement algorithm are explained in this video. Importantly, how to do this effectively still needs fine tuning. The method they ended up using was much faster than the (many) other ones tried (a Full-Spectrum Superintellligence would be able to “wiggle” the wires a bit if they got stuck, of course): This is hopefully giving you new ways of thinking about computation and intelligence. The

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text:
key point to realize is that these concepts are not set in stone, and to a large extent may limit our thinking about sentience and intelligence. Now, I don’t believe that if you simulate a self-organizing principle of this sort you will get a conscious mind. The whole point of using physics to solve your problem is that in some cases you get better performance than algorithmically representing a physical system and then using that simulation to instantiate self-organizing principles. Moreover physics simulations, to the extent they are implemented in classical computers, will fail to generate the same field boundaries that would be happening in the physical system. To note, physics-inspired simulations like [Yu et al 2021] are nonetheless enormously helpful to illustrate how to think of problem-solving with a massively parallel analog system. Are Neural Cellular Automata Conscious? The computational success of Neural Cellular Automata(Mordvintsev et al. 2020) is primarily algorithmic. In essence, digitally implemented NCA are exploring a paradigm of selection and amplification of self-organizing principles, which is indeed a very different way of thinking about computation. But critically any NCA will still lack sentience. The main reasons are that they (a) don’t use physical fields with weak

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text:
downward causation, and (b) don’t have a mechanism for binding/boundary making. Digitally-implemented cellular automata may have complex emergent behavior, but they generate no meaningful boundaries (i.e. objective, frame-invariant, causally-significant, and computationally-useful). That said, the computational aesthetic of NCA can be fruitfully imported to the study of Holistic Field Computing, in that the techniques for selecting and amplifying self-organizing principles already solved for NCAs may have analogues in how the brain recruits physical self-organizing principles for computation. Exotic States of Consciousness Perhaps one of the most compelling demonstrations of the possible zoo (or jungle) of self-organizing principles out of which your brain is recruiting but a tiny narrow range is to pay close attention to a DMT trip. DMT states of consciousness are computationally non-trivial on many fronts. It is difficult to emphasize how enriched the set of experiential building blocks becomes in such states. Their scientific significance is hard to overstate. Importantly, the bulk of the computational power on DMT is dedicated to trying to make the experience feel good and not feel bad. The complexity involved in this task is often overwhelming. But one could envision a DMT-like state in which some parameters have been stabilized in order to

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text:
recruit standardized self-organizing principles available only in a specific region of the energy-information landscape. I think that cataloguing the precise mathematical properties of the dynamics of attention and awareness on DMT will turn out to have enormous computational value. And a lot of this computational value will generally be pointed towards aesthetic goals. To give you a hint of what I’m talking about: A useful QRI model (indeed, algorithmic reduction) of the phenomenology of DMT is that it (a) activates high-frequency metronomes that shake your experience and energize it with a high-frequency vibe, and (b) a new medium of wave propagation gets generated that allows very disparate parts of one’s experience to interact with one another. 3D Space Group (CEV on low dose DMT) At a sufficient dose, DMT’s secondary effect also makes your experience feel sort of “wet” and “saturated”. Your whole being can feel mercurial and liquidy (cf: Plasmatis and Jim Jam). A friend speculates that’s what it’s like for an experience to be one where everything is touching everything else (all at once). There are many Indra’s Net-type experiences in this space. In brief, experiences where “each part reflects every other part” are an energy minimum that

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text:
also reduces prediction errors. And there is a fascinating non-trivial connection with the Free Energy Principle, where experiences that minimize internal prediction errors may display a lot of self-similarity. To a first approximation, I posit that the complex geometry of DMT experiences are indeed the non-linearities of the DMT-induced wave propagation medium that appear when it is sufficiently energized (so that it transitions from the linear to the non-linear regime). In other words, the complex hallucinations are energized patterns of non-linear resonance trying to radiate out their excess energy. Indeed, as you come down you experience the phenomenon of condensation of shapes of qualia. Now, we currently don’t know what computational problems this uncharted cornucopia of self-organizing principles could solve efficiently. The situation is analogous to that of the ISING Solver discussed above: we have an incredibly powerful alien computer that will do wonders if we can speak its language, and nothing useful otherwise. Yes, DMT’s computational power is an alien computer in search of a problem that will fit its technical requirements. Vibe-To-Shape-And-Back Michael Johnson, Selen Atasoy, and Steven Lehar all have shaped my thinking about resonance in the nervous system. Steven Lehar in particular brought to my attention

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text:
non-linear resonance as a principle of computation. In essays like The Constructive Aspect of Visual Perception(Lehar 2003) he presents a lot of visual illusions for which non-linear resonance works as a general explanatory principle (and then in The Grand Illusion(Lehar 2010) he reveals how his insights were informed by psychonautic exploration). One of the cool phenomenological observations Lehar made based on his exploration with DXM was that each phenomenal object has its own resonant frequency. In particular, each object is constructed with waves interfering with each other at a high-enough energy that they bounce off each other (i.e. are non-linear). The relative vibration of the phenomenal objects is a function of the frequencies of resonance of the waves of energy bouncing off each other that are constructing the objects. In this way, we can start to see how a “vibe” can be attributed to a particular phenomenal object. In essence, long intervals will create lower resonant frequencies. And if you combine this insight with QRI paradigms, you see how the vibe of an experience can modulate the valence (e.g. soft ADSR envelopes and consonance feeling pleasant, for instance). Indeed, on DMT you get to experience the high-dimensional version of music

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text:
theory, where the valence of a scene is a function of the crazy-complex network of pairwise interactions between phenomenal objects with specific vibratory characteristics. Give thanks to annealing because tuning this manually would be a nightmare. But then there is the “global” vibe… Topological Pockets So far I’ve provided examples of how Holistic Computing enriches our conception of intelligence, computing, and how it even shows up in our experience. But what I’ve yet to do is connect this with meaningful boundaries, as we set ourselves to do. In particular, I haven’t explained why Holistic Computing would arise out of topological boundaries. For the purpose of this essay I’m defining a topological segment (or pocket) to be a region that can’t be expanded further without this becoming false: every point in the region locally belongs to the same connected space. The Balloons’ Case In the case of balloons this cashes out as: a topological segment is one where each point can go to any other point without having to go through connector points/lines/planes. It’s essentially the set of contiguous surfaces. Now, each of these pockets can have both a rich set of connections to other pockets as well as intricate internal

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text:
boundaries. The way we could justify Computational Holism being relevant here is that the topological pockets trap energy, and thus allow the pocket to vibrate in ways that express a lot of holistic information. Each contiguous surface makes a sound that represents its entire shape, and thus behaves as a unit in at least this way. The General Case An important note here is that I am not claiming that (a) all topological boundaries can be used for Holistic Computing, or (b) to have Holistic Computing you need to have topological boundaries. Rather, I’m claiming that the topological segmentation responsible for individuating experiences does have applications for Holistic Computing and that this conceptually makes sense and is why evolution bothered to make us conscious. But for the general case, you probably do get quite a bit of both Holistic Computing without topological segmentation and vice versa. For example an LC circuit can be used for Holistic Computing on the basis of its steady analog resonance, but I’m not sure if it creates a topological pocket in the EM fields per se. At this stage of the research we don’t have a leading candidate for the precise topological feature of fields

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text:
responsible for this. But the explanation space is promising based on being able to satisfy theoretical constraints that no other theory we know of can. But I can nonetheless provide a proof of concept for how a topological pocket does come with really impactful holism. Let’s dive in! Getting Holistic Behavior Out of a Topological Pocket Creating a topological pocket may be consequential in one of several ways. One option for getting holistic behavior arises if you can “trap” energy in the pocket. As a consequence, you will energize its harmonics. The particular way the whole thing vibrates is a function of the entire shape at once. So from the inside, every patch now has information about the whole (namely, by the vibration it feels!)2. One possible overarching self-organizing principle that the entire pocket may implement is valence-gradient ascent. In particular, some configurations of the field are more pleasant than others and this has to do with the complexity of the global vibe. Essentially, the reason no part of it wants to be in a pocket with certain asymmetries, is because those asymmetries actually make themselves known everywhere within the pocket by how the whole thing vibrates. Therefore, for the

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text:
same reason a soap bubble can become spherical by each point on the surface trying to locally minimize tension, our experiences can become symmetrical and harmonious by having each “point” in them trying to maximize its local valence. Self Mirroring From Lehar’s Cartoon Epistemology And here we arrive at perhaps one of the craziest but coolest aspects of Holistic Computing I’ve encountered. Essentially, if we go to the non-linear regime, then the whole vibe is not merely just the weighted sum of the harmonics of the system. Rather, you might have waves interfere with each other in a concentrated fashion in the various cores/clusters, and in turn these become non-linear structures that will try to radiate out their energy. And to maximize valence there needs to be a harmony between the energy coming in and out of these dense non-linearities(Gómez Emilsson 2021). In our phenomenology this may perhaps point to our typical self-consciousness. In brief, we have an internal avatar that “reflects” the state of the whole! We are self-mirroring machines! Now this is really non-trivial (and non-linear) Holistic Computing. Cut From the Same Fabric So here is where we get to the crux of the insight. Namely, that weakly

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