Indra’s Net via Nonlinear Optics: DMT Phenomenology as Evidence for Beamsplitter Holography and Recursive Harmonic Compression

[Epistemic Status: Speculating on a key implementation detail within the paradigm of the Brain as a Non-Linear Optical Computer (BaaNLOC) – specifically, how the optical function of beam splitting could be used to compose the contents of a conscious simulation scene with principles of cel animation and holography. In particular, this may explain both how local phenomenal binding is implemented as well as the uncanny sense of being a multitude that are common on DMT-induced states of consciousness; featured image source]

Alternative Title: One Screen, Many Contributors: Explaining the One + Many nature of Experience with Non-Linear Optical Circuits

Background Readings – and key takeaways of each:

  • The Constructive Aspect of Visual Perception (by Steven Lehar): We learn that vision is a constructive process that uses bottom-up and top-down resonance as its generator. Of special note: a gestalt (when features become “more than the sum of their parts”) has spectral properties: it resonates in a specific way as a combination of frequencies and can click with, interface with, and even drag other gestalts. Waves inside gestalts collide with each other in a way that conveniently (and efficiently) abstracts its symmetries (e.g. how the “reverse grassfire algorithm” can be used to abstract the symmetries of shapes).
  • The Brain as a Non-Linear Optical Computer: Reflections on a 2-Week Jhana Meditation Retreat: Where I introduce the overall picture of BaaNLOC based on phenomenological observations I gathered at a Jhana retreat. The core idea is that the world simulation is rendered using optical elements (cf. Ising Machines: Non-Von Neumann Computing with Non-linear Optics). I hypothesized that there is a trade-off between how much we can experience sensations in a localized way vs. experiencing frequency-domain information. Jhana absorption is akin to pushing all of the information to the frequency domain: you’re a vibration rather than a location. We can hypothesize that the sense of simultaneity and non-locality comes from us being a standing wave pattern trapped in Total Internal Reflection (TIR) in the brain. The quality of experience, especially pertaining to each of the Jhanas, can be described in terms of an optical circuit that modulate the consonance, dissonance, and noise signature of gestalts, each of which is an optical “soliton” within the larger TIR pocket that delimits a moment of experience. Jhana meditation involves, among other things, interacting with gestalts in such a way that you harmonize them, and eventually build up to a level of coherence that allows the entire world simulation to achieve (one of several types of) global coherence.
  • The Electrostatic Brain: How a Web of Neurons Generates the World-Simulation that is You (by Fakhri, Percy, Gómez-Emilsson): “We propose that objects in your world simulation are made of patches in the neuronal lattice with distinct electrostatic parameters. The interaction of light with matter is governed by the material’s electrostatic parameters permittivity and permeability. Light propagates undisturbed through a uniform medium but reflects and refracts when these properties vary spatially, which is the principle behind how lenses manipulate light.” In other words, a theory for how “phenomenal objects” (and gestalts more broadly) acquire their solidity and individuation at the implementation level. Waves inside each gestalt behave differently than “outside” (but still within the world simulation) of them, due to literal electrical properties modulating the speed of wave propagation.
  • DMT and Hyperbolic Geometry: The core ideas to import deal with how DMT hallucinations can be explained in terms of a field of experience with an energy function: the simultaneous maximization of how “recognizable” and how “symmetrical” (both being “energy sinks”) a gestalt is. DMT energizes the world simulation, and the hallucinations we experience are downstream of the system trying to get rid of this excess energy. A psychedelic trip, therefore, is explained in terms of thermodynamics and as an annealing process that may, along the way, favor hyperbolic (and non-Euclidean, broadly) geometry. The world becoming a kind of kale surface (cf. “worldsheet“) is the result of the system “stitching together” an excess number of gestalts (that fail to dissipate quickly; cf. tracer effects). The gestalts are all trying to predict each other in a process of energy minimization that may do some useful compute along the way if we figure out how to harness it properly (cf. Cub Flipper’s recent ideas on the matter).
  • From Neural Activity to Field Computing: The key takeaway here is that we can modulate the topology of a field by parametrizing a network of coupled oscillators in such a way that you can “tune into” the resonant modes of the system and in turn interact with the field in a coherent way. If the field responds to the oscillators in a physical way (e.g. interpreting the oscillators as electrical in nature, and the field as the shape of the magnetic field, as one of many possible examples) attractors of the system of coupled oscillators may in turn instantiate specific and predictable topological structures in the field. The way this is relevant to the current post is that we see how e.g. electric oscillations (in gestalts) can create genuine boundaries in a field and allow entire regions to “behave as one” in turn.
  • Cel Animation as a Key Metaphor to Model DMT Hallucinations: This may be the most important background read – it outlines how both Laser Chess and Cel Animations can be used as system metaphors for how a wave-like non-local experience can interface (and be part of) a system with “classical” local parts. In the case of Laser Chess, we have a game where there is a local “classical” step (moving a piece) and then a non-local “holistic” state (shining the laser and seeing what standing wave pattern emerges as a result). The brain’s “slow” neural activity might be “placing” the classical optical elements as constraints at millisecond-speed, for then a “global” and “near instantaneous” interference pattern that solves the path integral of all possible trajectories within the pocket to take over as a global ultra-parallel medium of compute. In turn, Cel Animation (the way cartoons used to be made; transparent sheets that depict what is changing and leave everything else intact) can be used as a metaphor to describe how “awareness wraps around and moves around” in a field of gestalts. Our world simulation is akin to a projector that shines on a 3D diorama populated with holograms. The experience is the emergent light-field that stabilizes when light is shined on this diorama. Typically our diorama has a clear center, but depending on the kind, alignment, vibration, and symmetries of the gestalts present, more than one, or even no, “phenomenal center” might emerge: the light does not need to converge at a point, even if it usually does.
  • The Emergence of Self-Awareness: Conscious Holography as an Evolved Hardware Accelerator: Finally, this recent video explains how dimensionality reduction implemented at a physical level (with e.g. holograms a quintessential example) could be associated with moments of experience via a precise computational role of consciousness. Namely, we’re conscious because dimensionality reduction in holograms feels like something, and evolution found really good use for this physical process. That is, coordinating information in sensory fields of different dimensionalities in order to construct a coherent internal state that efficiently and accurately encodes both information types. This is reasonable because holographic compressions, at a physical implementation level, are a kind of distributed spatial knowledge that uses path integrals and superposition to encode large amounts of information. We could make the case that at the point of dimensionality reduction is when “reality can meet itself” by collapse in on itself.

Putting it all together: we have a model of moments of experience as a standing wave pattern inside a non-linear optical system. It is conceptually elegant, but still widely unspecified. We have noted how this conceptual framework would solve many philosophical problems while articulating the nature of otherwise extremely puzzling phenomenology (e.g. DMT breakthroughs). What follows is further speculation, specifically on how beam splitters could play a role in this framework. In particular, I’m going to describe and then try to explain the phenomenology of DMT’s autonomous entities as well as Indra’s Net (at the extreme) and then explain how a non-linear optical circuit with the right characteristics could give rise to these corner cases. In fact, as we will see, it makes sense to think of every experience as a kind of Indra’s Net but with significant opaque components. More on this later.

Context

I recently had the chance to talk to Michael Levin and Elan Barenholtz (thanks to Ekkolapto at University of Toronto!) on the topic of phenomenal binding and the Platonic Realm (hear also the conversation I had with Levin last year):

I recommend listening to the whole conversation, but I figured I’d share what I presented at the beginning to establish some context for further discussions. The talk was an interesting challenge for me because I was given exactly 5 minutes to present a case at the beginning of the panel. In general, I love to be challenged to deliver a specific insight or argument on a time limit. Although a fun exercise, I also realize that there is quite a bit of background needed to really get what I’m talking about. So this post will go over both the content of my presentation as well as its further implications. There will be a lot more QRI content on the topic of non-linear optical circuits in relation to consciousness coming in the future.

What Needs to be Explained

Two key phenomenological realities need to be explained. No matter how weird and absurd they may sound (they do happen, as a phenomenon), we need to take them seriously if our theory of consciousness is any good. The key idea we will circle back to is that we can explain this exotic phenomenology using non-linear optics as a substrate (at least conceptually). So, what is it that we ought to explain?

First, is the sense of autonomous entities while on DMT. While 5-MeO-DMT tends to generate a sense of global coherence that hints at Open Individualism, DMT instead tends to feel as if you’re being thrown into a deep ecosystem of rogue mindforms. More so, it is often reported that these entities not only feel like they are _not you_ but they also feel controlled by a variety of different agencies with disparate goals. It is also not the case that these agencies are in agreement about how to interact with you, as oftentimes fierce competition for attention and other cognitive or energetic resources ensues. It is for this reason we like to say DMT pushes you to a “competing clusters of coherence” attractor. More so, each of these clusters seems to have its own agenda and objective function. It often takes quite a bit of negotiating between the “parts” of the organism can “pull together” in one direction during the otherwise fragmented state of DMT intoxication.

And if that wasn’t enough of a mystery, the second is an even stranger but certainly no less real phenomenon: Indra’s Net. This is the feeling and felt sense that “everything reflects everything else”. Many people use to term to refer to an implicit quality of reality: interdependence. But when I use the term in this context, I’m pointing to a very real, very vivid, and very computationally non-trivial state of consciousness. It is _true_ that the state gives you the feeling that it has a lesson, message, implicit insight, etc. to deliver, and that it is that we’re all connected at a deep fractal level somehow, but leaving aside this impression, the immediate phenomenology of Indra’s Net is really something worth exploring and explaining in its own right.

I believe that Indra’s Net is a window into how consciousness works at a fundamental level, and in this essay you will see how we might be able to explain it in terms of non-linear optical circuits. But the deeper insight (note: don’t take a twig from the Dharma Tree, says Rob Burbea, instead go for the big flowers, the big fruits, the jewels of the path) is that perhaps “everything reflects everything else” is not a strange corner case you have to work to arrive at. But on the contrary, the sense that each part of experience has a clear identity, location, and boundary relative to every other part of experience, is itself the strange corner case – you have to twist and torque Indra’s Net just right so that its projection _looks_ like a normal everyday life type of experience. By default, consciousness is profoundly interconnected in overt and explicit ways. If so, a lot of the energy the brain is spending is on keeping the illusion that non-Indra’s Net states are the default somehow.

Another problem is that Indra’s Net sounds so outlandish and incredible that it is easy to dismiss as “recollection or confabulation after the fact”. The epistemological poverty of our predicament is further exacerbated by the fact that people tend to confuse semantic content and phenomenal character, in turn delivering fantastically confused and knotted trip reports.

So, let’s cut to the chase, what is so special about Indra’s Net and how does it actually manifest? Here is the essence of it: any gestalt on your visual/tactile field (which can be synesthetic, and typically is) can be an expression of the whole experience after a certain kind of transformation or information processing pipeline. Let me elaborate. In the classic case where Indra’s Net is expressed as a web of water droplets, then what you will see is that the content of every reflection (the light emitted by each droplet) is itself the whole scene, but transformed. Indeed, it is _what the scene looks like_ from that point of view (more or less). In turn, this is happening to every one of the elements on the scene. Each element is itself expressing what the rest of the scene looks like from its point of view. Each element is taking the whole scene, applying a transformation to it, and then expressing it back into the field for everyone else to see.

This is agnostic to the specific semantic content of the scene (though perhaps not entirely orthogonal, as content and shape are ultimately correlated). You could have an Indra’s Net experience of countless heavenly Jewels reflecting on each other in beautiful ways. Or you could have an experience of looking at hundreds of demon eyes, each one reflecting every other one. Or you could experience something much more computationally crazy, like a maze of mirrors and diffraction rays, where everything reflects everything else in highly non-trivial ways in maze paths you didn’t even know were mathematically possible. The point is that the mind seems to have this attractor state we can broadly point to with the term Indra’s Net, which corresponds to a state in which the geometric content of every gestalt reflects/and is connected to the content of every other gestalt and of the scene as a whole.

The question that naturally arises here is: why do we experience this on DMT? Seriously, why is this a common attractor state? Importantly, the feature that “the whole scene hangs together as an irreducible whole” in which “moving any part results in the whole state shifting and adjusting” is not, predicted, by current computational models of the mind (or is?). What would a theory that predicts Indra’s Net look like?

The core insight I want to share for the time being is that if we allow the whole experience to somehow “project onto itself” a transformed version of itself after underlying non-linear optical filters, then some of these features start to emerge for free.

At the limit, both DMT autonomous entities and Indra’s Net become sort of one and the same (!). In effect, it is not uncommon for the sense of the multiple entities to coalesce into a gigantic god-like hivemind that incorporates many gestalts at multiple scales and it makes it very clear that it is “one and all of them at the same time”. Indeed, one can perhaps re-interpret a lot of classic iconography (e.g. the hundreds of arms of the Hindu Gods) as perhaps a pictographic representation of the phenomenology of Indra’s Net. (See also how the improper stitching together of the holograms can result in misaligned Cronenberg-like DMT Shoggoths, too).

Both deep in a DMT experience, and also at high levels of meditative concentration (cf. hard Jhanas) Indra’s Net is really common. I want to emphasize how this is not a vague poetic metaphor. It is a concrete structure, where the phenomenological “screen” that makes up access consciousness (the part of your experience you can report on) is filled with clusters of agentic constructs (“entities”) that seem to be mutually inspecting and modifying each other. They behave like holographic cel animation layers, arranged with depth and dynamically interacting subcomponents that reflect the whole.

What we want is a conceptual framework that would make DMT autonomous entities as well as Indra’s Net a perfectly natural outcome. Indeed, perhaps even expected and obvious in retrospect. To do this, I will introduce a number of core ideas, all of them orbiting a central one: perhaps our “screen of consciousness” is being “beamed” to multiple semi-independent modules at the same time, each specialized in different aspects of information processing. In turn, these modules transform the beamed image, and then pull it together with the other post-processed images by the other modules, and projects it back onto the original screen. This is reminiscent of recurrent neural networks, non-linear optical networks, but above all, the core idea that intelligent dimensionality reduction is central to a well behaved mind. Let’s dive in!

One Screen, Many Contributors: Explaining the One + Many nature of Experience with Non-Linear Optical Circuits

Non-Linear Optical Circuitry at the core of the current iteration of BaaNLOC. The central screen beams copies of its content to semi-independent modules. Then each module applies learned non-linear optical transformations such as birefringence, diffraction, refraction, etc. The post-processed images are then pulled together, and after a final symmetry group transform (to know how to fit it onto the screen), are re-projected back onto the original screen. The experience that emerges is the steady state standing-wave pattern of Total Internal Reflection (TIR) trapped in the loop. Key idea is that the images projected from each module back to the main screen can interact with each other in a quasi-physical way there.

I start by portraying the overall geometry of a moment of experience, as illustrated by Steven Lehar:

Source: Cartoon Epistemology by Steven Lehar

Consider this “diorama-like shape” that contains phenomenal properties we can point to and discuss. It is deeply interconnected. An experience is not “just” a 2.5D screen of pixels, because something is actively integrating and interrelated all of those pixels under a shared “umbrella”: a point of view, or subject of experience. Whatever the true mathematical object is that corresponds to a moment of experience (cf. qualia formalism), it must be able to connect variables in ways that produce the specific patterns of binding we observe. The patterns of binding must somehow allow us to reconstruct the geometry of the experience as a whole. But the patterns of binding are complex. A cup is not merely a blue object – it has intricate structures like a handle and a floor and perhaps liquid content, features which are all put together into a coherent multi-level representation for us to interact with. Indeed, we have to ultimately provide a mathematical structure rich enough to model and account for all types of phenomenal binding. Worth mentioning is QRI’s long-standing idea of modeling experiences as graphs with nodes that represent qualia values and edges that represents the flow of attention. In this case, the nodes you attend to are salient due to reasons having to do with graph centrality (cf. PageRank). Why? Because e.g. PageRank tracks the probability of landing on a given node if you are doing a kind of random walk from node to node using the directed edge weights as probability of transitioning. The nodes with high PageRank are those for which “the flow of attention” leads to lakes where it pools and concentrates.

As explained already, we suspect that the psychedelic sense that “everything is connected to everything else” may not be an anomaly, but rather a feature of experience that is always present, only rarely made explicit. This kind of PageRank of attention is always ongoing. The geometry of experience seems to be a kind of stable equilibria that results from systems observing each other and creating representations with relative distances to each other. Naturally, experience is “self-reflective” for this reason (and not only due to introspection!). But Indra’s Net is a deeper kind of structure that is still way more interconnected than e.g. PageRank would suggest. We need something new:

The core idea is that the non-linear optical circuit diagram above might capture some of the more exotic and intricate aspects of phenomenology (as mentioned: autonomous entities and Indra’s Net). The sketch you see at the start of this section (“One Screen, Many Contributors: Explaining the One + Many nature of Experience with Non-Linear Optical Circuits”), aims to capture key structural insights for the generation of moments of experience, which beam splitters, birefringence, and image-teleporting TV stones (cf. “How does Television Stone Work?“; Ulexite) feeding a recursive optical loop. This loop allows many “sub-agents” to see the same field, alter it independently, and feed their changes back into the whole in real time. The equilibrium state of this process is what we experience as a moment of consciousness.

In the recorded discussion, Michael Levin offered an elegant metaphor for how self-organizing systems can “pull” you toward them, where constraints in the medium act like attractors and make parts of the problem solve themselves once enough structure is in place. One of his example was a triangle: if the fittest shape for a given problem involves a certain triangle (e.g. a triangular alga needs to have three specific angles at its corners to succeed in certain navigation task), you evolve the first angle, then the second, and the third is automatically determined by the laws of geometry (a free gift from Euclidean geometry; or the geometry of the network of relationships between the parts, more broadly, when we talk about intrinsic geometry). This kind of regularity is an example case for how complex systems can bootstrap themselves, where knowing part of the whole lock in the rest: symmetry reduces degrees of freedom, and constraint propagation allows the global pattern to self-assemble without exhaustive search. In Levin’s framework and worldview, these “free lunches” live in pattern-space or morphogenesis space (as we’ll see), so that once your system points to the right place, the rest of the pattern ingresses “into the physical”.

Indra’s Net might be one of these patterns. The state of consciousness where everything _explicitly_ reflects everything else, from this point of view, does not have to be built in its entirety from the bottom up; once parts of it crystallize, and high-level symmetries are locked in place, the rest already knows how to relax into its attractor. It’s worth mentioning Levin also pointed out that in his work with Chris Fields he extends the logic of navigation in pattern-space, to “morphogenesis space”. That is, the configuration space in which cells navigate to build and repair anatomies. Applying least action laws (perhaps the true building blocks of reality? Or the true underlying laws of reality?) not to physical three-dimensional space (which may itself be emergent) but to the implicit geometries that shape biological growth and repair, may explain how an organism navigates its possible self-organization and converges on an energy minima that is very wholistic in nature.

In the toy model I presented, a non-linear optical circuit containing beam splitters, birefringence, and image-teleporting TV stones feeds a recursive loop that allows many “sub-agents” to see the same field, alter it independently, and feed their changes back into the whole. The equilibrium of this process corresponds to a moment of consciousness: it’s the topologically closed standing-wave pattern that emerges out of the non-linear optical circuit reaching a point of stability – and then what it is like to be it perhaps corresponding to “the superposition of all points of view” within it (see Cube Flipper’s recent efforts to describe this way of “reading off” an experience out of a physical system).

The energy function locally rewards gestalts that succeed at being explanatory, meaning they can anticipate, compress, and model the behavior of other gestalts. This generates an ecosystem in which gestalts compete and cooperate by predicting one another, and some develop the capacity to swallow the entire scene and then re-express it in transformed form. The medium where these interactions occur (the phenomenal screen) is not a passive display (common misconception) but an active site of computation, where interferences between gestalts are identified and workshopped. It also plays the role of being a “metric” or “gauge” for the other various gestalts. The screen gives gestalts a kind of “radar” so that by emitting waves they can find each other “in 3D”. From this perspective, experience involves lifting the content of the field into higher dimensions (internal states of the modules), applying transformations there, and then re-projecting it back as a coherent standing wave onto 3D (or 2.5D). In fact, several semi-independent modules doing this in parallel and then responding to each other’s transformations. The result is often deeply interdependent and “enmeshed”, irreducible-seeming, as the process transforms experiences recursively mid-flight and converges on gestalts that get along well with each other, are explanatory, and can predict sensory input.

Beam Splitters

Let’s try to imagine this more concretely. First, let’s talk about beam splitters. A beam splitter is typically a piece of glass or plastic that allows a certain percentage of the light through and reflects the rest. They’re one of the pieces in the game Khet 2.0 (a variant of Laser Chess), where the laser effectively splits in two and has more chances to do damage to the other’s Kind (or Pharaoh). This multiplies the number of beams, and at least in some arrangements, can lead to combinatorial explosions. Beam splitters, I suspect, are ubiquitous in our brain’s information processing pipeline. The ability to carbon-copy a gestalt so that you can work on it in multiple streams in parallel is extremely empowering, and no doubt a core step in any serious implementation of non-linear optical computation. Think about the phenomenology of shifting around the content of a working memory module. Doesn’t it feel like you’re copy/pasting information from one part of your field to another? Beam splitters are also, I reckon, a key optical component of our world simulation that allows for parallel processing streams to get unified into the coherent experience we mistake for a single “simple” witness.

Teleprompters allow you to have “split vision” so that you can look at the camera while you read your speech. (cf. DIY Teleprompter). They’re a kind of highly functional beam/image splitters.


In an effort to making the above more relatable, let’s talk about a really cool invention: the holographic broadcasting system. It doesn’t exist yet, but it could. It should, in fact. For aesthetic, social, and computational reasons,. What is this I’m talking about? Check this out:

The Holographic Broadcasting System

Imagine this: in front of you is a special table. A table that shows an image. There are hundreds of other tables like it and they are all connected to each other. When you place something on the table, it appears as a hologram in every other table like it. You can use this to play board games with people in other countries in real time, or for strategizing, delivering presentations, and even solving a maze as a team.

Here is the twist: the object that you place on the table can itself be an object that holds a transformed image of the table. Say, the object you place on the table is an iPad that shows what the table looks like from your point of view (e.g. your glasses have cameras that beam data to the iPad). You can even do projection mapping on the table and overlay a digitally transformed version of what it looks like on top of itself.

Projection mapping: you use a model of the 3D scene so that you can “paint it” with a projector that displays a video of the very scene it’s illuminating, after processing it with digital tools.

Each person with access to (a parallel version of) the table might specialize in a different kind of transformation: some specialize in adding edge detectors that highlight the corners and sharp angles of what’s in it. Others perhaps do color enhancement. Yet another one does shape rotation, where it overlays rotated images of the table (or a region thereof) on top of itself. The result is that the table is a live hologram that gets to be edited in real time by many different groups of people, each looking for something different, and capable of emphasizing different features of this collective work of art.

But here’s what makes this system truly extraordinary: each hologram carries its own unique spectral signature (remember how you can do analogue Fourier transforms in optical circuits!). From the point of view of the system, each gestalt/hologram is a kind of molecule with distinct “vibratory modes” that interact with other nearby gestalts that share such frequencies. When an edge detector sharpens a visual element, it doesn’t just change the shape, it also “stamps” a vibratory signature, so to speak, onto the hologram metadata for the system to work with. From the point of view of the system as a whole, may at first seem like a simple object carries rich spectral (i.e. frequency/vibration in addition to position) information. Whether holograms in the table “get along with each other” is a function of how they resonate together, as a group (with other gestalts), and as a whole (how the whole state can self-harmonize, or not, with the presence of such features). Collectively, the local and global vibrations define how the system “wants” to settle, and how each region interferes and interacts with neighboring holograms.

Importantly, I think this is happening all the time. What is different about high dose DMT or hard Jhanas with prominent Indra’s Net phenomenology is the extent to which individual gestalts express information about the whole experience. Consider the spectrum that goes from a completely dark and uninteresting room, to a room that is filled with parallel mirrors, beam splitters, diffraction gratings, polarizers, etc. What the room looks like doesn’t change very much as a function of lighting and head position in the first room. But in the second room, subtle changes in lighting can change the look and feel of the whole scene, as well as subtle changes in head positioning or even direction to which the eyes are pointed. In both cases the rooms are ultimately made of the same kind of “material” (atoms, physically speaking; qualia, subjectively speaking). But the second room has implicit connections and relationships that makes it highly sensitive to things like angle of lighting. The punch line, as it were, is that both physical systems are kinds of Indra’s Net, at least in a raw physical sense: every part of the dark room does indeed reflect every other part, it’s just that the information has been scrambled and largely lost. But just because the materials are not reflective or smooth doesn’t mean that on a deep physical level we don’t find a web of interdependent physical fields giving rise to the room as a whole as a “point of stability” of the system. This requires “everything reflecting everything else”. It’s just that many of these reflections aren’t very interesting or coordinated! Yet they are always there.

Likewise, even very boring and prosaic “contents of the visual field” (say, a banana, an orange… a stim toy) without any “trippiness”, I would argue, do implicitly contain the “everything reflects everything else” quality. When you see a banana contextualized by being next to an orange, the very _meaning_ of the banana changes. It becomes, in look and feel, a “banana next to an orange” rather than a “banana plain and simple”. More so, now that this contextual relationship has been established, we see the same is the case for the orange. And once more, with recursion, we find that the banana starts to look like a “banana that’s next to an orange, which is next to a banana” and so on. In principle this sounds redundant. But it is not. On DMT trips, this “transitivity of context” may in fact break down. So, for example, you might find yourself contextualizing the banana by an orange, but the orange might feel like it’s coming from a space that _is not_ contextualized by the banana. At least not directly. It’s often as if the various gestalts on DMT could exist in semi-independent geometric spaces that only with joint attention can actually interact with one another. Thus, the Indra’s Net quality of experience is in some sense much more robust in “normal everyday life” relative to the depths of an ayahuasca journey. And that is because under normal circumstances we do in fact have that our phenomenal objects properly contextualize each other in a way that achieves closure.

On high doses of DMT, it is possible for the entirety of one’s experience to be “compressed” into a triangle and then having that triangle projected onto our experience. You see how this would be a rather unusual and special kind of mathematical object, right? We’re dealing with a situation in which materializing a projection of the whole space onto a part of it radically changes the nature of the geodesics of the space. The triangle becomes a shortcut between various points that find their shortest distance by jumping into it. Now, in really exotic states, when multiple parallel streams are re-projecting the whole experience back onto itself after doing unique transformations to it (say, one “rolls up the experience into a tube”, another one “turns it into the surface of a sphere”, and yet another one “does this weird Hopf-fibration-like foliation of the space”) you have the emergence of phenomenal spaces that are extremely interconnected and will for the most part be a once-in-a-life-time encounter, as the combinatorial explosion of these feedback processes is so large we often have no hope of reconstructing specific and weird corner case.

Harmonic Simplification

Hundreds of spectral holograms can coexist in the shared screen at once. They do not need to collide directly. They are controlled by different modules, but they do “collapse” and get pushed into the same screen, which tries to reconcile/compile them into a single “point of view”. There are two steps. First the system tries to flatten all of the holograms in the main screen. Then the system lifts all of the subsystems that didn’t find a clear fit with each other into a higher-dimensional work space where the more fined-grained information is computed (and where many more kinds of rotations are available to do so). This way, the screen, in light of the multiple commenting parallel streams that “lift it”, can dynamically transform in much more general ways than what the screen itself could afford geometrically on its own. In that space their spectra interact more directly: modes beat against modes and compatible components find strange projections (along higher dimensional transformations) that allow them to click together. The screen’s own low frequency harmonics act as a constraint (they amplify the 2D and 3D symmetries found in among the gestalts as seen presented in the screen, cf. our computational model of cessation) and work as selection pressures for patterns that fit the logic of 3D space. Anything that persists must couple to, and be consistent with, the global modes of the screen (imposing familiar geometry), as well as the constraints being carried in/imported by each of the semi-independent modules.

When a stable configuration that ties together multiple other gestalts in a clean composition is found, the circuit produces a simplified gestalt that stands in for the group. In some cases it replaces it, but more typically the “summary representation” works as a kind of leader of the gestalts it’s summarizing. Alas, all gestalts are decaying, so the visible and impactful ones are only the most recent summaries. The summary gestalt also carries spectral content that matters for downstream coupling (how to “get along with the current screen as a whole”) and drops detail that would only introduce new conflicts. That surrogate then re-enters the loop as a new gestalt with its own spectral signature. The process is recursive, which makes most of experience be a strange process where summaries compose with other summaries, and the screen converges toward a coherent standing wave that is both globally coherent and locally consistent. The “infinite reflections in the eyes of beings” inside Indra’s Net e..g. “spider eyes” (eyes reflecting eyes, etc.) move in a way that is both consistent with the local geometry of the main screen (of access consciousness) as well as with the geometry of the network of connections and reflections. When you move an eye in an Indra’s Net, you move the _whole_ Net.

On ordinary mindstates gestalts have short half-lives, so the loop clears quickly and the screen doesn’t tend to have long-range temporal self-interactions. High-energy conditions such as high dose DMT or hard Jhanas extend those half-lives (cf. Tracer Effects). More gestalts remain in the screen for longer, more summaries are formed, and more couplings between gestalts become possible. The result is a scene where parts model each other and the whole and then re-express it in transformed form that interact with one another. This is the functional core of Indra’s Net phenomenology as I currently see it. And I believe we can have it come about naturally in such an optical circuit.

The Multitude Behind the Screen

We typically think the screen of consciousness is like this: you think you are just one witness looking at it. But what if it’s actually being broadcast to hundreds of different locations at once? And every one of those locations has a specialized intelligence that knows how to identify faces/mechanisms/connections on the screen and overlay that information on top of it for everyone else to see?

Neither recurrence nor resonance can solve the phenomenal binding problem, but if consciousness is a standing wave pattern trapped in a TIR pocket, then beam splitters that allow different modules to work simultaneously into a shared space just might.

From Lehar’s Cartoon Epistemology

Each of these specialized processing locations generates its own “interpretation of the scene”. Effectively, taking the shared space and applying specialized filters (try to resonate with it in a bunch of ways and see what sticks!), in turn modifying it in real time and contributing additional gestalts to the collective mix. Face recognition modules stamp facial harmonics onto visual patterns. Motion detection systems add their characteristic rhythms. Mood modules add jitter or laminar flow to attention. Memory systems contribute resonant modes that connect current perceptions to stored patterns. Emotional processing centers overlay affective spectral information that colors the entire scene (cf. citta).

The beam splitter is multimodal. The signal gets split and is sent simultaneously to somatic processing modules, auditory systems, and other sensory domains. Each domain receives the same fundamental holistic information (the _entire_ experience!) but processes it according to its own characteristic geometry, topology, and harmonic features. There’s likely a master screen that combines these three primary modalities (incl. visual, somatic, auditory) each contributing their own spectral signatures to the unified conscious experience.

Crucially, this conceptual framework might articulate the phenomenology we observer in how tactile-visual synesthesia works through spectral principles (cf. Roger Thisdell on Pure Perception). Synesthetic states can be thought of as “solitons” of the system: self-reinforcing wave packets that maintain their coherence while propagating their spectral information to the rest of the field across modalities. These solitons resonate with one another and with the broader spectral ecosystem in the screen, integrating interactions, and in turn lock together the gestalts contributed by different modules into stable multi-modal gestalts.

The sense of “Autonomous Entities”, and even more strikingly, the feeling of being a multitude on DMT might come from this mechanism becoming more “transparent”. The screen is always broadcast to many locations, but at baseline only a few have edit rights, with a strong and smart filter gating what reaches the authoritative version. On DMT many (perhaps most?) streams gain editing privileges at once, so an ecosystem of patterns grows in the shared space and coordinates through the screen without the intermediate central organizer (ego?) filtering who talks to who. This results in complex subagents interacting through the medium that can plot for and against you. Thus framework that accounts for Indra’s Net also explains Autonomous Entities: the competing clusters of coherence on DMT form hierarchical networks that bootstrap semi-parallel agency. As Steven Lehar hypothesizes (personal communication), these entities are facets of yourself: the central screen is being beamed to separate modules, each “witnesses” the whole scene, processes it, and then comments by beaming transformed gestalts back to the screen. Under normal conditions few streams are active; with DMT’s coupling kernel you may be “opening half the streams at once” (chaotically and hierarchically), creating literally “more witnesses of your experience.” Streams come together that usually don’t co-exist, and must thus negotiate how agency will be distributed among them.

A bit like the kid behind a reporter saying “mom! I’m on tv!” – many subagents can now broadcast their existence to the whole organism and seek like-minded shards to work on (artistic? political? cosmic?) projects with. Not all the shards understand each other’s communication style, so there is a lot of cross-talk that goes unrecognized by the whole yet is happening beneath the surface.

This way, the entities we encounter can be thought of as different parts of yourself gaining editing privileges on a shared space whose control room is usually locked and safeguarded. It is a multitude in the same way that you’re always already a multitude. But you’re usually following an algorithm that prevents “multiple parts talking at once”; with DMT that system is gone.

The Tracer Effect in Light of the Hologram Collective

As briefly touched upon already, on DMT (and other psychedelics/exotic states of consciousness), sensations (and gestalts) don’t decay at the same rate as normal. Every sensation you experience tends to flicker at a high frequency and linger for a while (depending on dose, could be over several seconds). These “tracers” hang around as afterimages that flicker characteristically fast at the 10-40hz range typically as they interact with one another. When the process that effectively works as a “compression engine” (gestalts summarizing pre-existing gestalts) tries to replace a cluster of gestalts with their simplified proxy, the older ones are still present and spectrally active (meaning, their vibrations still condition the screen and one another). The screen now contains both the compressed summary AND its constituent parents, so the next compression cycle captures the recursive echoes of patterns that should have vanished under normal circumstances (cf. don’t look at cauliflowers while on DMT!). It doesn’t take much imagination to see how this could lead to “fractal-like” patterns.

Overall, this creates a spectral feedback loop, where each new compression inherits more and more afterimages from previous cycles (until it reaches a dose-dependent homeostatic level). Instead of an orderly hierarchy of representations with conventional order, you get a sprawling pattern of self-referential holograms and time-loops, each quoting fragments (and partial impressions) of earlier generations, all resonating and cross-modulating each other. The compression engine, as it were, starts feeding on its own history, creating recursive patterns that reference themselves in increasingly complex ways. One of the key ingredients for the fractal quality of Indra’s Net!

Collective Harmony in Emergent Gestalts

Finally, any discussion of this process would be incomplete without at least mentioning valence. Individual holograms both float independently and they organize themselves into gestalt collectives. These collectives develop their own characteristic resonant modes, creating new spectral patterns that can influence the entire system from the top down. When you recognize a face, you are doing more than combining features such as eyes, nose, and mouth. Really, the face is a higher order gestalts: it is a collective interlocked “metagestalt” that has genuine causal power over how subsequent processing goes. The gestalts that make it up compromise a little on their own characteristic frequencies so that they can interlock as a group and genuinely form something more (and different) than the mere superposition of the parts. Importantly, each gestalt (of any order) tends to have both an intrinsic valence as well as a valence in relation to the other gestalts present. I would posit the intrinsic valence is the result of its internal consonance, dissonance, noise signature (CDNS) of the gestalt. Namely, how would this vibrate if it were the only element in the screen? Whereas valence in relation to other gestalts is the result of mutual consonance, dissonance, and noise between the gestalts.

Indra’s Net valence tends to be pretty extreme. Usually positive (or very positive), but at times negative or very negative. Yes, it is likely the case that if you want to pack as much consonance (mystical choruses, interdimensional massages, etc.) as possible in a finite volume like our screen of consciousness, probably creating a complex web of fractal connections allows you to maximize the number of pleasant relationships. Alas, be warned that fractal dissonances lurk in Indra’s Net too, and a “fractured” not quite complete Indra’s Net can be really disconcerting in some ways. It’s possible that peak positive valence resides in minimal-information-content experiences (as Michael Johnson’s Symmetry Theory of Valence posits), so high-energy high-symmetry states like 5-MeO-DMT are more likely to be leads for peak pleasure states that those catalyzed by DMT or similar. In either case, both the valence (and specifically aesthetic!) value as well as computational significance of Indra’s Net keeps it in the short list of most interesting states to study.

Discussion and Conclusions

Let’s recap. In our non-linear optical circuit, each iteration runs the same loop: the screen copies the whole scene to many modules, they transform their copies, the returns are then projected back onto the screen, and what fits with everything else stays. This iteration-by-iteration “handoff” from each of the modules and the screen as a whole gives continuity where small overlaps between iterations keep motion smooth. The system tends to a few stable objects because it keeps spectra that cooperate with each other and lets go of the rest. The screen is not (just!) a display (!), because it turns out to be where useful compute happens. Namely, where different modules can see the work of each other in real time, and negotiate together how to transform the scene in order to both fit the constraints of the screen as well as of each other.

Radical state changes affect how this loop behaves. With altered coupling dynamics, streams running at their own speed can lock to one another in the presence of strong kernel changes (e.g. when the “DMT coupling kernel” is applied indiscriminately to many systems at once). With tracers, the feedback intensifies across iterations and the negotiation becomes visible on the screen: edges, colors, textures, posture, points of view, trying to fit each with other. By default this tends towards hyperbolic geometry (as the gestalts drift into a more relaxed metric so that all of their idiosyncratic distances to one another can be embedded in some space and the gestalts get stitched together). But even more interestingly, when many modules hold the whole scene at once and write back versions that still predict it, you get Indra’s Net: each patch shows the whole through its own lens, and pulling on any part pulls on the rest too. When more streams get edit rights at the same time in tandem with the tracer effects, the modules negotiate domains of influence by both communicating through the screen and developing agent-like qualities. They all see the same broadcast, process it in their own way, and comment on it by projecting their gestalts back onto the screen. They feel alien because the usual gate that merges commentaries is relaxed, so their “signatures” stay distinct and you can watch them interact and develop new kinds of languages mid-flight.

We are in early days of BaaNLOC, but I am optimistic that it won’t take long for us to be able to code simulations of this optical circuit (and many variants) and then test whether they generate recognizably-DMT-like dynamics. From playing with toy models (to be released soon), I think we’re on track. But much remains to be done. Stay tuned 🙂

Announcing: QUALIUS Retreat in Crete (July 10-14, 2025)

I’m excited to announce QUALIUS, an upcoming post-ASSC retreat on the topic of non-ordinary states of consciousness, taking place July 10–14, 2025, in Ligres, Crete. Organized by the ALIUS and QRI, the retreat will bring together researchers working at the intersection of psychometrics, VR, computational modeling, and contemplative practice. It’s structured around four thematic tracks: measuring subjective effects, studying altered states using virtual reality, integrating lived experience into consciousness research, and formalizing the structure of non-ordinary states. QRI is helping with support for the retreat and by leading the fourth track, contributing our latest tools and frameworks for modeling the fine-grained structure of experience. Our approach emphasizes the phenomenal character of states of consciousness—the texture and structure of experience—over the intentional content, or what the experience is about. Conceptual tools like the Guide to Writing Rigorous Reports of Exotic States of Consciousness and software tools like the QRI’s Tracer Tool give a flavor of our methodology, but we’ll be showcasing more advanced, unpublished systems currently being integrated into active studies.

This post-ASSC 2025 satellite event will serve as an interdisciplinary workshop retreat to advance research on consciousness, altered states, and computational phenomenology. It will integrate perspectives from neuroscience, VR, computational modeling, and philosophy, fostering collaboration among researchers with a shared interest in non-ordinary conscious states. A key focus will be on the measurement of subjective effects in altered states research, exploring innovative experiential approaches using VR to induce and study these phenomena. The workshop will also highlight neurophenomenological methods that bridge first-person experience with third-person data, particularly at the intersections of art and neuroscience. Through focused discussions, cross-disciplinary talks, and collaborative sessions, participants will explore formal models of consciousness, including mathematical frameworks and neural modeling approaches. The workshop aims to establish a long-term research consortium, promoting sustainable partnerships and open collaboration to bridge empirical and theoretical perspectives in the study of altered states.
The retreat is designed as a smaller, more intimate gathering of around 35 researchers with a shared interest in altered states of consciousness. Unlike the main conference, which primarily focuses on published work, this retreat will emphasize ongoing and future research, fostering discussions that lead to new collaborations. The aim is to create a space where researchers can connect organically, exchange ideas, and explore potential synergies—whether intellectual, financial, or infrastructural—through a bottom-up approach driven by participant interactions and shared interests.
QUALIUS: ASSC Sattelite Event on Non-Ordinary States of Consciousness

Acknowledgements

Thanks to George Fejer for coming up with this initiative and offering to collaborate with QRI. Thanks to Till Holzapfel for introducing us and suggesting collaboration possibilities (and everyone who recently participated in the QRI Meetup in Amsterdam, many of whom will be joining this event!).

The retreat is made possible by the assembly of an extraordinary team across four research tracks:

Track 1 – Measuring Subjective Effects (organized by Timo Torsten Schmidt and Cyril Costines, see: CIRCE). This track develops open-science strategies for capturing and comparing altered states using validated psychometrics and large-scale data platforms.

Track 2 – Virtual Reality for Altered States (Curated by Keisuke Suzuki, Pawel Motyka, and George Fejer). This track explores how VR and cybernetic feedback systems can induce, modulate, and investigate non-ordinary experiences. Includes contributions from the Viscereality Project.

Track 3 – Lived Experience in Consciousness Research (by Mar Estaralles and Jonas Mago), which explores how introspection, contemplative practice, and lived first-person perspectives can be integrated into rigorous consciousness research.

And QRI collaborators working on Track 4 – Formalizing the Non-Ordinary State Space (full list of collaborators TBA soon). This fourth track focuses on computational and phenomenological modeling of non-ordinary states. We’ll explore how structural features of experience can be visualized, compared, and potentially modulated, and how to integrate these replications into rigorous studies.

We’re grateful to the ALIUS Research Group for setting up this event, ASSC for accepting the retreat as an official satellite event of the conference, and to the broader consciousness research community for cultivating a space where formal theory, lived experience, and empirical investigation can converge.

If your work lives in this space (or if you’d like it to) consider applying today.

Infinite bliss!
Andrés 🙂

QRI Meetup in Amsterdam on January 25th 2025: The Coupling Kernels Revolution

Dear wonderful community,

Just as a fire uniformly raises the temperature throughout a building, causing diverse but interconnected effects (metal beams expanding, wood supports burning, windows cracking from thermal stress, smoke rising through air currents) psychedelics might work through a single fundamental mechanism that ripples through all neural systems. This isn’t just theoretical elegance without grounding; it’s a powerful explanatory framework that could help us understand why substances like DMT and 5-MeO-DMT produce distinct but internally consistent effects across visual, auditory, cognitive, and somatic domains. A single change in coupling dynamics might explain why these compounds have such distinct but internally consistent effects: DMT creates rapidly alternating color/anti-color visual patterns and oscillating somatic sensations, whereas 5-MeO-DMT tends towards a state of global coherence.

As demonstrated in our work “Towards Computational Simulations of Cessation“, see how a flat “coupling kernel” triggers a global attractor of coherence across the entire system, whereas an alternating negative-positive (Mexican hat-like) kernel produces competing clusters of coherence. This is just a very high-level and abstract demonstration of a change in the dynamic behavior of coupled oscillators by applying a coupling kernel. What we then must do is to see how such a change would impact different systems in the organism as a whole.
Source

The key insight is that psychedelics may modify the coupling kernels between oscillating neural systems throughout the body. Think of coupling kernels as the “rules of interaction” between neighboring neural oscillators. When these rules change, the effects cascade through different neural architectures (from the hierarchical layers of the visual cortex to the branching networks of the peripheral nervous system) producing the kaleidoscopic zoo of psychedelic effects we observe.

DMT, for instance, appears to enhance contrast and create competing clusters of coherence (possibly through 5-HT2A activation), while 5-MeO-DMT tends toward global coherence and boundary dissolution (potentially through 5-HT1A pathways). These changes in coupling dynamics appear to tune into the brain’s natural resonant modes, as described by connectome-specific harmonic waves, modulating their spectral power distribution in predictable and reliable ways.

Simulation comparing coupling kernels across a hierarchical network of feature-selective layers (16×16 to 2×2), showing how different coupling coefficients between and within layers affect pattern formation. The DMT-like kernel (-1.0 near-neighbor coupling) generates competing checkerboard patterns at multiple spatial frequencies, while the 5-MeO-DMT-like kernel (positive coupling coefficients) drives convergence toward larger coherent patches. These distinct coupling dynamics mirror how these compounds might modulate hierarchical neural architectures like the visual cortex.
Source: Internal QRI tool (public release forthcoming)

We’re excited to announce that we’ll be hosting a meeting in Amsterdam to explore this paradigm-shifting framework. This gathering will bring together researchers studying psychedelics from multiple angles – from phenomenology to neuroscience – to discuss how coupling kernels might serve as a bridge between subjective experience and neural mechanisms. Recent work on divisive normalization has shown how local neural responses are regulated by their surrounding activity, providing a potential mechanistic basis for how psychedelics modify these coupling patterns. By understanding psychedelic states through the lens of coupling kernels, we may finally have a mathematical framework that unifies the seemingly disparate effects of these compounds, much like how understanding heat transfer helps us predict how a fire will affect an entire building – from its structural integrity to its airflow patterns.

Simulation comparing different coupling kernels (DMT-like vs 5-MeO-DMT-like) applied to a 1.5D fractal branching network, showing how modified coupling parameters affect phase coherence and signal propagation. The DMT-like kernel produces competing clusters of coherence at bifurcation points, while the 5-MeO-DMT kernel drives the system toward global phase synchronization – patterns that could explain how these compounds differently affect branching biological systems like the vasculature or peripheral nervous system.
Source: Internal QRI tool (public release forthcoming)

Event Details & Amsterdam Visit

The meetup will be held on the 25th of January (location: Generator Amsterdamevent page; time: 1-8PM), featuring presentations from myself and Marco Aqil, whose groundbreaking work on divisive normalization and graph neural fields provides a compelling neuroscientific foundation for the Coupling Kernels paradigm. Marco’s research demonstrates how spatial coupling dynamics can bridge microscopic neural activity and macroscopic brain-wide effects: a perfect complement to our phenomenological investigations.

Additionally, I’ll be in Amsterdam throughout the last third of January and available to meet with academics, artists, recreational metaphysicians, and qualia researchers. If you’re interested in deep discussions about consciousness, psychedelic states, and mathematical frameworks for understanding subjective experience, please reach out.

Much love and may your New Year be filled with awesome and inspiring experiences as well as solid paradigm-building enterprises!

~Metta~

Costs of Embodiment

[X-Posted @ The EA Forum]

By Andrés Gómez Emilsson

Digital Sentience

Creating “digital sentience” is a lot harder than it looks. Standard Qualia Research Institute arguments for why it is either difficult, intractable, or literally impossible to create complex, computationally meaningful, bound experiences out of a digital computer (more generally, a computer with a classical von Neumann architecture) include the following three core points:

  1. Digital computation does not seem capable of solving the phenomenal binding or boundary problems.
  2. Replicating input-output mappings can be done without replicating the internal causal structure of a system.
  3. Even when you try to replicate the internal causal structure of a system deliberately, the behavior of reality at a deep enough level is not currently understood (aside from how it behaves in light of inputs-to-outputs).

Let’s elaborate briefly:

The Binding/Boundary Problem

  1. A moment of experience contains many pieces of information. It also excludes a lot of information. Meaning that, a moment of experience contains a precise, non-zero, amount of information. For example, as you open your eyes, you may notice patches of blue and yellow populating your visual field. The very meaning of the blue patches is affected by the presence of the yellow patches (indeed, they are “blue patches in a visual field with yellow patches too”) and thus you need to take into account the experience as a whole to understand the meaning of all of its parts.
  2. A very rough, intuitive, conception of the information content of an experience can be hinted at with Gregory Bateson’s (1972) “a difference that makes a difference”. If we define an empty visual field as containing zero information, it is possible to define an “information metric” from this zero state to every possible experience by counting the number of Just Noticeable Differences (JNDs) (Kingdom & Prins, 2016) needed to transform such empty visual field into an arbitrary one (note: since some JND are more difficult to specify than others, a more accurate metric should also take into account the information cost of specifying the change in addition to the size of the change that needs to be made). It is thus evident to see that one’s experience of looking at a natural landscape contains many pieces of information at once. If it didn’t, you would not be able to tell it apart from an experience of an empty visual field.
  3. The fact that experiences contain many pieces of information at once needs to be reconciled with the mechanism that generates such experiences. How you achieve this unity of complex information starting from a given ontology with basic elements is what we call “the binding problem”. For example, if you believe that the universe is made of atoms and forces (now a disproven ontology), the binding problem will refer to how a collection of atoms comes together to form a unified moment of experience. Alternatively, if one’s ontology starts out fully unified (say, assuming the universe is made of physical fields), what we need to solve is how such a unity gets segmented out into individual experiences with precise information content, and thus we talk about the “boundary problem”.
  4. Within the boundary problem, as Chris Percy and I argued in Don’t Forget About the Boundary Problem! (2023), the phenomenal (i.e. experiential) boundaries must satisfy stringent constraints to be viable. Namely, among other things, phenomenal boundaries must be:
    1. Hard Boundaries: we must avoid “fuzzy” boundaries where information is only “partially” part of an experience. This is simply the result of contemplating the transitivity of the property of belonging to a given experience. If a (token) sensation A is part of a visual field at the same time as a sensation B, and B is present at the same time as C, then A and C are also both part of the same experience. Fuzzy boundaries would break this transitivity, and thus make the concept of boundaries incoherent. As a reductio ad absurdum, this entails phenomenal boundaries must be hard.
    2. Causally significant (i.e. non-epiphenomenal): we can talk about aspects of our experience, and thus we can know they are part of a process that grants them causal power. More so, if structured states of consciousness did not have causal effects in some way isomorphic to their phenomenal structure, evolution would simply have no reason to recruit them for information processing. Albeit epiphenomenal states of consciousness are logically coherent, the situation would leave us with no reason to believe, one way or the other, that the structure of experience would vary in a way that mirrors its functional role. On the other hand, states of consciousness having causal effects directly related to their structure (the way they feel like) fits the empirical data. By what seems to be a highly overdetermined Occam’s Razor, we can infer that the structure of a state of consciousness is indeed causally significant for the organism.
    3. Frame-invariant: whether a system is conscious should not depend on one’s interpretation of it or the point of view from which one is observing it (see appendix for Johnson’s (2015) detailed description of frame invariance as a theoretical constraint within the context of philosophy of mind).
    4. Weakly emergent on the laws of physics: we want to avoid postulating either that there is a physics-violating “strong emergence” at some level of organization (“reality only has one level” – David Pearce) or that there is nothing peculiar happening at our scale. Bound, casually significant, experiences could be akin to superfluid helium. Namely, entailed by the laws of physics, but behaviorally distinct enough to play a useful evolutionary role.
  5. Solving the binding/boundary problems does not seem feasible with a von Neumann architecture in our universe. The binding/boundary problem requires the “simultaneous” existence of many pieces of information at once, and this is challenging using a digital computer for many reasons:
    1. Hard boundaries are hard to come by: looking at the shuffling of electrons from one place to another in a digital computer does not suggest the presence of hard boundaries. What separates a transistor’s base, collector, and emitter from its immediate surroundings? What’s the boundary between one pulse of electricity and the next? At best, we can identify functional “good enough” separations, but no true physics-based hard boundaries.
    2. Digital algorithms lack frame invariance: how you interpret what a system is doing in terms of classic computations depends on your frame of reference and interpretative lens.
    3. The bound experiences must themselves be causally significant. While natural selection seemingly values complex bound experiences, our digital computer designs precisely aim to denoise the system as much as possible so that the global state of the computer does not influence in any way the lower-level operations. At the algorithmic level, the causal properties of a digital computer as a whole, by design, are never more than the strict sum of their parts.

Matching Input-Output-Mapping Does Not Entail Same Causal Structure

Even if you replicate the input-output mapping of a system, that does not mean you are replicating the internal causal structure of the system. If bound experiences are dependent on specific causal structures, they will not happen automatically without considerations for the nature of their substrate (which might have unique, substrate-specific, causal decompositions). Chalmers’ (1995) “principle of organizational invariance” assumes that replicating a system’s functional organization at a fine enough grain will reproduce identical conscious experiences. However, this may be question-begging if bound experiences require holistic physical systems (e.g. quantum coherence). In such a case, the “components” of the system might be irreducible wholes, and breaking them down further would result in losing the underlying causal structure needed for bound experiences. This suggests that consciousness might emerge from physical processes that cannot be adequately captured by classical functional descriptions, regardless of their granularity.

More so, whether we realize it or not, it is always us (indeed complex bound experiences) who interpret the meaning of the input and the output of a physical system. It is not interpreted by the system itself. This is because the system has no real “points of view” from which to interpret what is going on. This is a subtle point, and will merely mention it for now, but a deep exposition of this line of argument can be found in The View From My Topological Pocket (2023).

We more so would point out that the system that is smuggling a “point of view” to interpret a digital computer’s operations is in the human who builds, maintains, and utilizes it. If we want a system to create its “own point of view” we will need to find the way for it to bind the information in a (1) “projector”/screen, (2) an actual point of view proper, or (3) the backwards lightcone that feeds into such a point of view. As argued, none of these are viable solutions.

Reality’s Deep Causal Structure is Poorly Understood

Finally, another key consideration that has been discussed extensively is that the very building blocks of reality have unclear, opaque causal structures. Arguably, if we want to replicate the internal causal structure of a conscious system, the classical input-output mapping is therefore not enough. If you want to ensure that what is happening inside the system has the same causal structure as its simulated counterpart, you would also need to replicate how the system would respond to non-standard inputs, including x-rays, magnetic fields, and specific molecules (e.g. Xenon isotopes).

These ideas have all been discussed at length in articlespodcastspresentations, and videos. Now let’s move on to a more recent consideration we call “Costs of Embodiment”.

Costs of Embodiment

Classical “computational complexity theory” is often used as a silver bullet “analytic frame” to discount the computational power of systems. Here is a typical line of argument: under the assumption that consciousness isn’t the result of implementing a quantum algorithm per se, the argument goes, then there is “nothing that it can do that you couldn’t do with a simulation of the system”. This, however, is neglecting the complications that come from instantiating a system in the physical world with all that it entails. To see why, we must first explain the nature of this analytic style in more depth:

Introduction to Computational Complexity Theory

Computational complexity theory is a branch of computer science that focuses on classifying computational problems according to their inherent difficulty. It primarily deals with the resources required to solve problems, such as time (number of steps) and space (memory usage).

Key concepts in computational complexity theory include:

  1. Big O notation: Used to describe the upper bound of an algorithm’s rate of growth.
  2. Complexity classes: Categories of problems with similar resource requirements (e.g., P, NP, PSPACE).
  3. Time complexity: Measure of how the running time increases with the size of the input.
  4. Space complexity: Measure of how memory usage increases with the size of the input.

In brief, this style of analysis is suited for analyzing the properties of algorithms that are implementation-agnostic, abstract, and interpretable in the form of pseudo-code. Alas, the moment you start to ground these concepts in the real physical constraints to which life is subjected, the relevance and completeness of the analysis starts to fall apart. Why? Because:

  1. Big O notation counts how the number of steps (time complexity) or number of memory slots (space complexity) grows with the size of the input (or in some cases size of the output). But not all steps are created equal:
    1. Flipping the value of a bit might be vastly cheaper in the real world than moving the value of a bit to another location that is very (physically far) in the computer.
    2. Likewise, some memory operations are vastly more costly than others: in the real world you need to take into account the cost of redundancy, distributed error correction, and entropic decay of structures not in use at the time.
  2. Not all inputs and outputs are created equal. Taking in some inputs might be vastly more costly than others (e.g. highly energetic vibrations that shake the system apart mean something to a biological organism as it needs to adapt to the possible stress induced by the nature of the input, expressing certain outputs might be much more costly than others, as the organism needs to reconfigure itself to deliver the result of the computation, a cost that isn’t considered by classical computational complexity theory).
  3. Interacting with a biological system is a far more complex activity than interacting with, say, logic gates and digital memory slots. We are talking about a highly dynamic, noisy, soup of molecules with complex emergent effects. Defining an operation in this context, let alone its “cost”, is far from trivial.
  4. Artificial computing architectures are designed, implemented, maintained, reproduced, and interpreted by humans who, if we are to believe already have powerful computational capabilities, are giving the system an unfair advantage over biological systems (which require zero human assistance).

Why Embodiment May Lead to Underestimating Costs

Here is a list of considerations that highlight the unique costs that come with real-world embodiment for information-processing systems beyond the realm of mere abstraction:

  1. Physical constraints: Traditional complexity theory often doesn’t account for physical limitations of real-world systems, such as heat dissipation, energy consumption, and quantum effects.
  2. Parallel processing: Biological systems, including brains, operate with massive adaptive parallelism. This is challenging to replicate in classical computing architectures and may require different cost analyses.
  3. Sensory integration: Embodied systems must process and integrate multiple sensory inputs simultaneously, which can be computationally expensive in ways not captured by standard complexity measures.
  4. Real-time requirements: Embodied systems often need to respond in real-time to environmental stimuli, adding temporal constraints that may increase computational costs.
  5. Adaptive learning: The ability to learn and adapt in real-time may incur additional computational costs not typically considered in classical complexity theory.
  6. Robustness to noise: Physical systems must be robust to environmental noise and internal fluctuations, potentially requiring redundancy and error-correction mechanisms that increase computational costs.
  7. Energy efficiency: Biological systems are often highly energy-efficient, which may come at the cost of increased complexity in information processing.
  8. Non-von Neumann architectures: Biological neural networks operate on principles different from classical computers, potentially involving computational paradigms not well-described by traditional complexity theory.
  9. Quantum effects: At the smallest scales, quantum mechanical effects may play a role in information processing, adding another layer of complexity not accounted for in classical theories.
  10. Emergent properties: Complex systems may exhibit physical emergent properties that arise from the interactions of simpler components and as well as phase transitions, potentially leading to computational costs that are difficult to predict or quantify using standard methods.

See appendix for a concrete example of applying these considerations to an abstract and embodied object recognition system (example provided by Kristian Rönn).

Case Studies:

1.  2D Computers

It is well known in classical computing theory that a 2D computer can implement anything that an n-dimensional computer can do. Namely, because it is possible to create a 2D Turing Machine capable of simulating arbitrary computers of this class (to the extent that there is a computational complexity equivalence between an n-dimensional computer and a 2D computer), we see that (at the limit) the same runtime complexity as the original computer in 2D should be achievable.

However, living in a 2D plane comes with enormous challenges that highlight the cost of embodiment present in a given media. In particular, we will see that the *routing costs* of information will grow really fast, as the channels that connect between different parts of the computer will need to take turns in order to allow for the crossed wires to transmit information without saturating the medium of (wave/information) propagation.

A concrete example here comes from examining what happens when you divide a circle into areas. Indeed, this is a well-known math problem, where you are supposed to derive a general formula for the number of areas by which a circle gets divided when you connect n (generally placed) points in its periphery. The takeaway of this exercise is often to point out that even though at first the number of areas seem to be powers of 2 (2, 4, 8, 16…) eventually the pattern is broken (the number after 16 is, surprisingly, 31 and not 32).

For the purpose of this example we shall simply focus on the growth of edges vs. the growth of crossings between the edges as we increase the number of nodes. Since every pair of nodes has an edge, the formula for the number of edges as a function of the number of nodes n is: n choose 2. Similarly, any four points define a single unique crossing, and thus the formula for the number of crossings is: n choose 4. When n is small (6 or less), the number of crossings is smaller or equal to the number of edges. But as soon as we hit 7 nodes, the number of crossings dominates over the number of edges. Asymptotically, in fact, the growth of edges is O(n^2) using the Big O notation, whereas the number of crossings ends up being O(n^4), which is much faster. If this system is used in the implementation of an algorithm that requires every pair of nodes to interact with each other once, we may at first be under the impression that the complexity will grow as O(n^2). But if this system is embodied, messages between the nodes will start to collide with each other at the crossings. Eventually, the number of delays and traffic jams caused by the embodiment of the system in 2D will dominate the time complexity of the system.

2. Blind Systems: Bootstrapping a Map Isn’t Easy

A striking challenge that biological systems need to tackle to instantiate moments of experience with useful information arises when we consider the fact that, at conception, biological systems lack a pre-existing “ground truth map” of their own components, i.e. where they are, and where they are supposed to be. In other words, biological systems somehow bootstrap their own internal maps and coordination mechanisms from a seemingly mapless state. This feat is remarkable given the extreme entropy and chaos at the microscopic level of our universe.

Assembly Theory (AT) (2023) provides an interesting perspective on this challenge. AT conceptualizes objects not as simple point particles, but as entities defined by their formation histories. It attempts to elucidate how complex, self-organizing systems can emerge and maintain structure in an entropic universe. However, AT also highlights the intricate causal relationships and historical contingencies underlying such systems, suggesting that the task of self-mapping is far from trivial.

Consider the questions this raises: How does a cell know its location within a larger organism? How do cellular assemblies coordinate their components without a pre-existing map? How are messages created and routed without a predefined addressing system and without colliding with each other? In the context of artificial systems, how could a computer bootstrap its own understanding of its architecture and component locations without human eyes and hands to see and place the components in their right place?

These questions point to the immense challenge faced by any system attempting to develop self-models or internal mappings from scratch. The solutions found in biological systems might potentially rely on complex, evolved mechanisms that are not easily replicated in classical computational architectures. This suggests that creating truly self-understanding artificial systems capable of surviving in a hostile, natural environment, may require radically different approaches than those currently employed in standard computing paradigms.

How Does the QRI Model Overcome the Costs of Embodiment?

This core QRI article presents a perspective on consciousness and the binding problem that aligns well with our discussion of embodiment and computational costs. It proposes that moments of experience correspond to topological pockets in the fields of physics, particularly the electromagnetic field. This view offers several important insights:

  1. Frame-invariance: The topology of vector fields is Lorentz invariant, meaning it doesn’t change under relativistic transformations. This addresses the need for a frame-invariant basis for consciousness, which we identified as a challenge for traditional computational approaches.
  2. Causal significance: Topological features of fields have real, measurable causal effects, as exemplified by phenomena like magnetic reconnection in solar flares. This satisfies the requirement for consciousness to be causally efficacious and not epiphenomenal.
  3. Natural boundaries: Topological pockets provide objective, causally significant boundaries that “carve nature at its joints.” This contrasts with the difficulty of defining clear system boundaries in classical computational models.
  4. Temporal depth: The approach acknowledges that experiences have a temporal dimension, potentially lasting for tens of milliseconds. This aligns with our understanding of neural oscillations and provides a natural way to integrate time into the model of consciousness.
  5. Embodiment costs: The topological approach inherently captures many of the “costs of embodiment” we discussed earlier. The physical constraints, parallel processing, sensory integration, and real-time requirements of embodied systems are naturally represented in the complex topological structures of the brain’s electromagnetic field.

This perspective suggests that the computational costs of consciousness may be even more significant than traditional complexity theory would indicate. It implies that creating artificial consciousness would require not just simulating neural activity, but replicating the precise topological structures of electromagnetic fields in the brain. This is a far more challenging task than conventional AI approaches.

Moreover, this view provides a potential explanation for why embodied systems like biological brains are so effective at producing consciousness. The physical structure of the brain, with its complex networks of neurons and electromagnetic fields, may be ideally suited to creating the topological pockets that correspond to conscious experiences. This suggests that embodiment is not just a constraint on consciousness, but a fundamental enabler of it.

Furthermore, there is a non-trivial connection between topological segmentation and resonant modes. The larger a topological pocket is, the lower the frequency of the resonant modes can be. This, effectively, is broadcasted to every region within the pocket (much akin how any spot on the surface of an acoustic guitar expresses the vibrations of the guitar as a whole). Thus, topological segmentation, quite conceivably, might be implicated in the generation of maps for the organism to self-organize around (cf. bioelectric morphogenesis according to Michael Levin, 2022). Steven Lehar (1999) and Michael E. Johnson (2018) in particular have developed really interesting conceptual frameworks for how harmonic resonance might be implicated in the computational character of our experience. The QRI insight that topology can mediate resonance, further complicates the role of phenomenal boundaries in the computational role of consciousness.

Conclusion and Path Forward

In conclusion, the costs of embodiment present significant challenges to creating digital sentience that traditional computational complexity theory fails to fully capture. The QRI solution to the boundary problem, with its focus on topological pockets in electromagnetic fields, offers a promising framework for understanding consciousness that inherently addresses many of these embodiment costs. Moving forward, research should focus on: (1) developing more precise methods to measure and quantify the costs of embodiment in biological systems, (2) exploring how topological features of electromagnetic fields could be replicated or simulated in artificial systems, and (3) investigating the potential for hybrid systems that leverage the natural advantages of biological embodiment while incorporating artificial components (cf. Xenobots). By pursuing these avenues, we may unlock new pathways towards creating genuine artificial consciousness while deepening our understanding of natural consciousness.

It is worth noting that the QRI mission is to “understand consciousness for the benefit of all sentient beings”. Thus, figuring out the constraints that give rise to computationally non-trivial bound experiences is one key piece of the puzzle: we don’t want to accidentally create systems that are conscious and suffering and become civilizationally load-bearing (e.g. organoids animated by pain or fear).

In other words, understanding how to produce conscious systems is not enough. We need to figure out how to (a) ensure that they are animated by information-sensitive gradients of bliss, and (b) how being empowered by the computational properties of consciousness can lean into more benevolent mind architectures. Namely, architectures that care about their wellbeing and the wellbeing of all sentient beings. This is an enormous challenge; clarifying the costs of embodiment is one key step forward, but part of an ecosystem of actions and projects needed for the robust positive impact of consciousness research for the wellbeing of all sentient beings.

Acknowledgments:

This post was written at the July 2024 Qualia Research Institute Strategy Summit in Sweden. It comes about as a response to incisive questions by Kristian Rönn on QRI’s model of digital sentience. Many thanks to Curran Janssen, Oliver Edholm, David Pearce, Alfredo Parra, Asher Soryl, Rasmus Soldberg, and Erik Karlson, for brainstorming, feedback, suggesting edits, and the facilitation of this retreat.

Appendix

Excerpt from Michael E. Johnson’s Principia Qualia (2015) on Frame Invariance (pg. 61)

What is frame invariance?

A theory is frame-invariant if it doesn’t depend on any specific physical frame of reference, or subjective interpretations to be true. Modern physics is frame-invariant in this way: the Earth’s mass objectively exerts gravitational attraction on us regardless of how we choose to interpret it. Something like economic theory, on the other hand, is not frame-invariant: we must interpret how to apply terms such as “GDP” or “international aid” to reality, and there’s always an element of subjective judgement in this interpretation, upon which observers can disagree.

Why is frame invariance important in theories of mind?

Because consciousness seems frame-invariant. Your being conscious doesn’t depend on my beliefs about consciousness, physical frame of reference, or interpretation of the situation – if you are conscious, you are conscious regardless of these things. If I do something that hurts you, it hurts you regardless of my belief of whether I’m causing pain. Likewise, an octopus either is highly conscious, or isn’t, regardless of my beliefs about it.[a] This implies that any ontology that has a chance of accurately describing consciousness must be frame-invariant, similar to how the formalisms of modern physics are frame-invariant.

In contrast, the way we map computations to physical systems seems inherently frame-dependent. To take a rather extreme example, if I shake a bag of popcorn, perhaps the motion of the popcorn’s molecules could – under a certain interpretation – be mapped to computations which parallel those of a whole-brain emulation that’s feeling pain. So am I computing anything by shaking that bag of popcorn? Who knows. Am I creating pain by shaking that bag of popcorn? Doubtful… but since there seems to be an unavoidable element of subjective judgment as to what constitutes information, and what constitutes computation, in actual physical systems, it doesn’t seem like computationalism can rule out this possibility. Given this, computationalism is frame-dependent in the sense that there doesn’t seem to be any objective fact of the matter derivable for what any given system is computing, even in principle.

[a] However, we should be a little bit careful with the notion of ‘objective existence’ here if we wish to broaden our statement to include quantum-scale phenomena where choice of observer matters.

Example of Cost of Embodiment by Kristian Rönn

Abstract Scenario (Computational Complexity):

Consider a digital computer system tasked with object recognition in a static environment. The algorithm processes an image to identify objects, classifies them, and outputs the results.

Key Points:

  • The computational complexity is defined by the algorithm’s time and space complexity (e.g., O(n^2) for time, O(n) for space).
  • Inputs (image data) and outputs (object labels) are well-defined and static.
  • The system operates in a controlled environment with no physical constraints like heat dissipation or energy consumption.

However, this abstract analysis is extremely optimistic, since it doesn’t take the cost of embodiment into account.

Embodied Scenario (Embodied Complexity):

Now, consider a robotic system equipped with a camera, tasked with real-time object recognition and interaction in a dynamic environment.

Key Points and Costs:

  1. Real-Time Processing:
    • The robot must process images in real-time, requiring rapid data acquisition and processing, which creates practical constraints.
    • Delays in computation can lead to physical consequences, such as collisions or missed interactions.
  2. Energy Consumption:
    • The robot’s computational tasks consume power, affecting the overall energy budget.
    • Energy management becomes crucial, balancing between processing power and battery life.
  3. Heat Dissipation:
    • High computational loads generate heat, necessitating cooling mechanisms, requiring additional energy. Moreover, this creates additional costs/waste in the embodied system.
    • Overheating can degrade performance and damage components, requiring thermal management strategies.
  4. Physical Constraints and Mobility:
    • The robot must move and navigate through physical space, encountering obstacles and varying terrains.
    • Computational tasks must be synchronized with motion planning and control systems, adding complexity.
  5. Sensory Integration:
    • The robot integrates data from multiple sensors (camera, lidar, ultrasonic sensors) to understand its environment.
    • Processing multi-modal sensory data in real-time increases computational load and complexity.
  6. Error Correction and Redundancy:
    • Physical systems are prone to noise and errors. The robot needs mechanisms for error detection and correction.
    • Redundant systems and fault-tolerance measures add to the computational overhead.
  7. Adaptation and Learning:
    • The robot must adapt to new environments and learn from interactions, requiring active inference (i.e. we can’t train a new model everytime the ontology of an agent needs updating).
    • Continuous learning in an embodied system is resource-intensive compared to offline training in a digital system.
  8. Physical Wear and Maintenance:
    • Physical components wear out over time, requiring maintenance and replacement.
    • Downtime for repairs affects the overall system performance and availability.

An Energy Complexity Model for Algorithms

Roy, S., Rudra, A., & Verma, A. (2013). https://doi.org/10.1145/2422436.2422470

Abstract

Energy consumption has emerged as a first class computing resource for both server systems and personal computing devices. The growing importance of energy has led to rethink in hardware design, hypervisors, operating systems and compilers. Algorithm design is still relatively untouched by the importance of energy and algorithmic complexity models do not capture the energy consumed by an algorithm. In this paper, we propose a new complexity model to account for the energy used by an algorithm. Based on an abstract memory model (which was inspired by the popular DDR3 memory model and is similar to the parallel disk I/O model of Vitter and Shriver), we present a simple energy model that is a (weighted) sum of the time complexity of the algorithm and the number of ‘parallel’ I/O accesses made by the algorithm. We derive this simple model from a more complicated model that better models the ground truth and present some experimental justification for our model. We believe that the simplicity (and applicability) of this energy model is the main contribution of the paper. We present some sufficient conditions on algorithm behavior that allows us to bound the energy complexity of the algorithm in terms of its time complexity (in the RAM model) and its I/O complexity (in the I/O model). As corollaries, we obtain energy optimal algorithms for sorting (and its special cases like permutation), matrix transpose and (sparse) matrix vector multiplication.

Thermodynamic Computing

Conte, T. et al. (2019). https://arxiv.org/abs/1911.01968

Abstract

The hardware and software foundations laid in the first half of the 20th Century enabled the computing technologies that have transformed the world, but these foundations are now under siege. The current computing paradigm, which is the foundation of much of the current standards of living that we now enjoy, faces fundamental limitations that are evident from several perspectives. In terms of hardware, devices have become so small that we are struggling to eliminate the effects of thermodynamic fluctuations, which are unavoidable at the nanometer scale. In terms of software, our ability to imagine and program effective computational abstractions and implementations are clearly challenged in complex domains. In terms of systems, currently five percent of the power generated in the US is used to run computing systems – this astonishing figure is neither ecologically sustainable nor economically scalable. Economically, the cost of building next-generation semiconductor fabrication plants has soared past $10 billion. All of these difficulties – device scaling, software complexity, adaptability, energy consumption, and fabrication economics – indicate that the current computing paradigm has matured and that continued improvements along this path will be limited. If technological progress is to continue and corresponding social and economic benefits are to continue to accrue, computing must become much more capable, energy efficient, and affordable. We propose that progress in computing can continue under a united, physically grounded, computational paradigm centered on thermodynamics. Herein we propose a research agenda to extend these thermodynamic foundations into complex, non-equilibrium, self-organizing systems and apply them holistically to future computing systems that will harness nature’s innate computational capacity. We call this type of computing “Thermodynamic Computing” or TC.

Energy Complexity of Computation

Say, A.C.C. (2023). https://doi.org/10.1007/978-3-031-38100-3_1

Abstract

Computational complexity theory is the study of the fundamental resource requirements associated with the solutions of different problems. Time, space (memory) and randomness (number of coin tosses) are some of the resource types that have been examined both independently, and in terms of tradeoffs between each other, in this context. Since it is well known that each bit of information “forgotten” by a device is linked to an unavoidable increase in entropy and an associated energy cost, one can also view energy as a computational resource. Constant-memory machines that are only allowed to access their input strings in a single left-to-right pass provide a good framework for the study of energy complexity. There exists a natural hierarchy of regular languages based on energy complexity, with the class of reversible languages forming the lowest level. When the machines are allowed to make errors with small nonzero probability, some problems can be solved with lower energy cost. Tradeoffs between energy and other complexity measures can be studied in the framework of Turing machines or two-way finite automata, which can be rewritten to work reversibly if one increases their space and time usage.

Relevant physical limitations

  • Landauer’s limit: The lower theoretical limit of energy consumption of computation.
  • Bremermann’s limit: A limit on the maximum rate of computation that can be achieved in a self-contained system in the material universe.
  • Bekenstein bound: An upper limit on the thermodynamic entropy S, or Shannon entropy H, that can be contained within a given finite region of space which has a finite amount of energy.
  • Margolus–Levitin theorem: A bound on the maximum computational speed per unit of energy.

References

Bateson, G. (1972). Steps to an ecology of mind. Chandler Publishing Company.

Chalmers, D. J. (1995). Absent qualia, fading qualia, dancing qualia. In T. Metzinger (Ed.), Conscious Experience. Imprint Academic. https://www.consc.net/papers/qualia.html

Gómez-Emilsson, A. (2023). The view from my topological pocket. Qualia Computing. https://qualiacomputing.com/2023/10/26/the-view-from-my-topological-pocket-an-introduction-to-field-topology-for-solving-the-boundary-problem/

Gómez-Emilsson, A., & Percy, C. (2023). Don’t forget the boundary problem! How EM field topology can address the overlooked cousin to the binding problem for consciousness. Frontiers in Human Neuroscience,17. https://www.frontiersin.org/articles/10.3389/fnhum.2023.1233119 

Johnson, M. E. (2015). Principia qualia. Open Theory. https://opentheory.net/PrincipiaQualia.pdf

Johnson, M. E. (2018). A future of neuroscience. Open Theory. https://opentheory.net/2018/08/a-future-for-neuroscience/

Kingdom, F.A.A., & Prins, N. (2016). Psychophysics: A practical introduction. Elsevier.

Lehar, S. (1999). Harmonic resonance theory: An alternative to the “neuron doctrine” paradigm of neurocomputation to address gestalt properties of perception. http://slehar.com/wwwRel/webstuff/hr1/hr1.html

Levin, M. (2022). Bioelectric morphogenesis, cellular motivations, and false binaries with Michael Levin. DemystifySci Podcast. https://demystifysci.com/blog/2022/10/25/kl2d17sphsiw2trldsvkjvr91odjxv

Pearce, D. (2014). Social media unsorted postings. HEDWEB. https://www.hedweb.com/social-media/pre2014.html

Sharma, A. (2023). Assembly theory explains and quantifies selection and evolution. Nature, 622, 321–328. https://www.nature.com/articles/s41586-023-06600-9

QRI in Germany

Hello dear reader!

I seem to find myself in Berlin. My past self insists that I’m here for a reason, though the Empty Individualist self of the moment finds itself clearly confused about where it is and what it is doing here (realistically, the confusion is probably due to jetlag).

To me, Germany has always been one of those fictional countries used to back-fill the “history of humanity” and make this simulation more realistic. Alas, as I discovered yesterday, Germany is a real country with real people and real buildings (or so it seems from where I stand – it could be some sort of projective trick of course).

I’ve come to this country to meet European Qualia People! A full Europe trip will have to wait, but I’m told Berlin is a hub of sorts. It’s a scene worth visiting on the mission to spread the word for Team Consciousness.

My trip includes a talk at each of three different events, in temporal order: QRI Meetup (May 18), PsyDAO‘s PsyRL-1 (May 20), and Seed Club Ventures‘ and Foresight‘s AI x Hope (May 24). I will also stay in Berlin until the 27th, so there will be more chances to meet up if you are around but can’t make it to any of these (tentatively, we will host a casual QRI picnic on the 26th – location TBD (in Berlin) – check this page again closer to the date for details – we are going to merge the local ACX meetup with the planned QRI meetup, see details below).

QRI x ACX Berlin Meetup on the 26th

Due to serendipitous conditions the QRI picnic date coincides with the Berlin ACX meetup organized by Milli, who graciously accepted to merge the events. We will bring snacks, some drinks, and a fun demo to show 🙂

Details:

Time: May 26th, 2PM-6PM

Location: Big Lawn at the center of Humboldthain (precise location, announcement, group)

Hope to see you there! <3


EVENTS

Berlin QRI Meetup

What: Meetup where QRI collaborator Beata Grobenski (@stalkerofmusik on X) will present the latest version of The Good Annealing Manual she has been working on at the Qualia Research Institute. This manual aims to provide a balanced but forward-looking overview of QRI’s Theory of Neural Annealing and its further developments over the last few years, with an emphasis on pragmatic applications. I will then also personally deliver a presentation on a surprise topic, and then show some of the latest QRI technology. QRI collaborators Alfredo Parra and Libor Burian will also come to this event.

Where: MOOS Space, Moosdorfstraße 7-9, 12435 Berlin

When: May 18th, 2pm – 7pm+

Free entrance but limited spots, so please RSVP to reserve your spot.


The second event I’ll be presenting at is:

PsyDAO’s PsyRL-1

​Brief Description: Enjoy psychedelic art, culture, tokens, and vibes at PsyRL-1, the inaugural in-person gathering for PsyDAO.

Where: The iconic Molecule office – St.Agnes Church/KÖNIG GALERIE, Berlin

When: May 20th, 5:00 PM – 9:00 PM

​PsyRL-1 will feature:

  • ​talks from famous psychedelic luminaries (RSVP to find out their identities)
  • ​artisan botanical beverages with psychoactive ingredients (blue lotus, cacao, and other magic ingredients)
  • ​synesthetic visual projection mapping derived from Shipibo kené and
  • ​resident DJs playing a curated selection of high vibe tunes.

I want to point out that PsyDAO is a really exciting initiative that might very well “cut the Gordian Knot” for how to fund truly promising psychedelic research. As someone who has been working on developing empirical paradigms for visualizing, reverse-engineering, and utilizing exotic states of consciousness for novel information-processing tasks for many years now, it has become clear to me that the cutting-edge in consciousness research is bottlenecked by the lack of a feedback loop that goes from “taking phenomenology seriously” to “deciding what research will likely generate interesting results” and back. Thus, we find ourselves in a timeline where the bulk of high-quality psychedelic phenomenology is not to be found in textbooks, peer-reviewed journal articles, and academic talks. Rather, it is in places like PsychonautWiki, r/replications, and QRI, where a thriving Think Tank model allows smart and dedicated psychonauts to point the way to worthwhile research. Example: Psychedelic tracers are near ubiquitous in psychedelic experiences (cf. “generalized tracer effects”), and yet it took a weird non-profit to figure out how to parametrize them. The truth is that academic culture strongly discourages researchers from openly talking about their own personal psychedelic phenomenology and informing their research methods with these discussions, leaving them no recourse other than silly questionnaires and ancient texts to point the way as a justification for why a given study is worth conducting. I am thus making a big bet that smart-psychonaut-led research paradigms will far outcompete academia’s phenomenology work in the years to come. The problem is: who is going to fund this research? PsyDAO’s decentralized funding schemes might be a key piece of the puzzle here.


AI X Hope

The third event I’ll be talking at is AI x Hope, which follows an exploration of AIxCrypto @ zuzalu.ai, this time co-organized and sponsored by Seed Club Ventures in collaboration with Foresight Institute.

Description: “We stand at a crucial point in shaping how Human-AI cooperation will evolve and are witnessing the birth of a new internet. We aim to approach this flippening with Existential Hope, and foster futures where humans and machines coexist to flourish ✨. Our belief is that a healthy and harmonious development of decentralized artificial general intelligence (AGI) can arise from an enlightened vantage point”.

Where: KÖNIG GALERIE, Berlin

When: May 24th, 2PM – 10PM

Title of my talk: The Nature of Subagentic Structures (cf. Aligning DMT Entities)

Existential Hope “about” page

In light of the rising culture war between “doomers and accelerators” (though, note the sociological complexities here) it is becoming increasingly difficult to articulate compelling visions of positive definite futures to look forward to. But if we are to coordinate to bring about a good future, we first need to visualize it on some level. Thus, I am very encouraging of initiatives that aim to paint positive visions to coordinate around. My personal focus here is on how consciousness research can open up entirely new vistas for a positive definite future. Please join us in this exploration!


Thank You!

I want to express my gratitude to both Existential Hope and PsyDAO for inviting me to these events and for facilitating my trip to this wonderful (still-not-convinced-it’s-not-fictional) country. 🙂


In other news, I wanted to highlight that Scott Alexander just posted yesterday a profile of the Far Out Initiative which I highly encourage you to read: link. It is not every day that the work of David Pearce gets the limelight of attention like this. More so, I know the people who work at the Far Out Initiative and I am deeply impressed with their moral seriousness, long-term vision, and incredibly pragmatic approach to drastically reducing suffering at scale. Please check them out!

Feels good, man! 🙂

Post-Darwinian Paradise, by David Pearce

The Maxwellians

Excerpt from The Maxwellians by Bruce J. Hunt (1991)

Foreword by L. Pearce Williams

In 1873, James Clerk Maxwell published a rambling and difficult two-volume Treatise on Electricity and Magnetism that was destined to change the orthodox picture of reality. This treatise did for electromagnetism what Newton‘s Principia had done for classical mechanics. It not only provided the mathematical tools for the investigation and representation of the whole of electromagnetic theory, but it altered the very framework of both theoretical and experimental physics. Although the process had been going on throughout the nineteenth century, it was this work that finally displaced action-at-a-distance physics and substituted the physics of the field.

Like Newton’s Principia, Maxwell’s Treatise did not immediately convince the scientific community. The concepts in it were strange and the mathematics was clumsy and involved. Most of the experimental basis was drawn from the researches of Michael Faraday, whose results were undeniable, but whose ideas seemed bizarre to the orthodox physicist. The British had, more or less, become accustomed to Faraday’s “vision,” but continental physicists, while accepting the new facts that poured from his laboratory, rejected his conceptual structures. One of Maxwell’s purposes in writing his treatise was to put Faraday’s ideas into the language of mathematical physics precisely so that orthodox physicists would be persuaded of their importance.

Maxwell died in 1879, midway through preparing a second edition of the Treatise. At that time, he had convinced only a very few of his fellow countrymen and none of his continental colleagues. That task now fell to his disciples.

The story that Bruce Hunt tells in this volume is the story of the ways in which Maxwell’s ideas were picked up in Great Britain, modified, organized, and reworked mathematically so that the Treatise as a whole and Maxwell’s concepts were clarified and made palatable, indeed irresistible, to the physicists of the late nineteenth century. The men who accomplished this, G. F. FitzGerald, Oliver Heaviside, Oliver Lodge, and others, make up the group that Hunt calls the “Maxwellians.” Their relations with one another and with Maxwell’s work make for a fascinating study of the ways in which new and revolutionary scientific ideas move from the periphery of the scientific thought to the very center. In the process, Professor Hunt also, by extensive use of manuscript sources, examines the genesis of some of the more important ideas that fed into and led to the scientific revolution of the twentieth century.

L. PEARCE WILLIAMS. – Ithaca, New York


“Maxwell’s equations”

Introduction

James Clerk Maxwell’s theory of the electromagnetic field is generally acknowledged as one of the outstanding intellectual achievements of the nineteenth century—indeed, of any century. The late Richard Feynman once remarked, with perhaps only a little hyperbole, that “from a long view of the history of mankind […] there can be little doubt that the most significant event of the 19th century will be judged as Maxwell’s discovery of the laws of electrodynamics”. Even the American Civil War, Feynman said, “will pale into provincial insignificance” besides this more profound event of the 1860s.[1] By the mid-1890s the four “Maxwell’s equations” were recognized as the foundation of one of the strongest and most successful theories in all of physics; they had taken their place as companions, even rivals, to Newton’s laws of mechanics. The equations were by then also being put into practical use, most dramatically in the emerging new technology of radio communications, but also in the telegraph, telephone, and electric power industries. Maxwell’s theory passed to the twentieth century with an enormous reputation it has retained ever since.

It is thus perhaps surprising to find that the fullest statement Maxwell gave of his theory, his 1873 Treatise on Electricity and Magnetism, does not contain the four famous “Maxwell’s equations,” nor does it even hint at how electromagnetic waves might be produced or detected. These and many other aspects of the theory were quite thoroughly hidden in the version of it given by Maxwell himself; in the words of Oliver Heaviside, they were “latent” in the theory, but hardly “patent.”[2]

Maxwell was only forty-eight when he died of cancer in November 1879. He was only a quarter of the way through revising his Treatise for a second edition, and the task of digging out the “latent” aspects of his theory and of exploring its wider implications was thus left to a group of younger physicists, most of them British. Between roughly 1879 and 1894, these “Maxwellians,” led by George Francis FitzGerald (1851-1901), Oliver Lodge (1851-1940), and Oliver Heaviside (1850-1925), with a key contribution from the German physicist Heinrich Hertz (1857-1894), transformed the rich but confusing raw material of the Treatise into a solid, concise, and well-confirmed theory—essentially, at least for free space, the “Maxwell’s theory” we know today. It was they who first explored the possibility of generating electromagnetic waves and then actually demonstrated their existence; it was they, along with J. H. Poynting (1852-1914), who first delineated the paths of energy flow in the electromagnetic field and then followed out the far-reaching implications of this discovery; it was they who recast the long list of equations Maxwell had given in his Treatise into the compact set now universally known as “Maxwell’s”; and it was they who began to apply this revised theory to problems of electrical communications, with results that have transformed modern life. It was mainly the Maxwellians who gave Maxwell’s theory the form it has since retained, and it was largely through their work that it first acquired its great reputation and breadth of application.

The evolution of “Maxwell’s theory” in the years after Maxwell’s death provides a striking example of a process quite common in science, as in other fields of intellectual endeavor. Scientific theories rarely spring fully formed from the mind of one person; a theory is likely to be so refined and reinterpreted by later thinkers that by the time it is codified and passes into general circulation, it often bears little resemblance to the form in which it was first propounded. The practice in science of naming theories after their originators often obscures the historical process by which scientific syntheses are achieved. One is tempted to seek all of “Newtonianism” in Newton, or all of “Darwinism” in Darwin. One of the main aims in the pages that follow is to trace the formation of such a theoretical synthesis in some detail and to show that “Maxwellianism,” though undeniably built on Maxwell’s ideas, was in many ways the work of his successors. “Maxwell was only 1/2 Maxwellian,” Heavisde declared in 1895; I examine here what it meant to be a Maxwellian and trace the transformation of ideas that lay behind Heaviside’s remark.[3]

Another of my aims is to trace the evolution of the Maxwellians as a scientific group and to show how they stimulated and helped one another, both in their strictly scientific work and in more practical affairs. Science is a more social and cooperative process than is sometimes appreciated, and one of the most effective ways to capture its richness is to examine in detail the workings of a small group. The key to such a study of the Maxwellians is their surviving letters and notebooks, through which one can follow the course of their thoughts and actions almost day by day and see how strongly they influenced one another. In the work of FitzGerald and Lodge on ether models and electromagnetic waves; in Lodge and Heaviside’s joint battles with W. H. Preece of the Post Office Telegraph Department; in Heaviside and FitzGerald’s long collaboration on the problem of moving charges and on the puzzle of the ultimate nature of the electromagnetic field—in all of these, the cooperative nature of the Maxwellian’s work can be clearly seen in their correspondence. Heaviside in particular virtually lived his life on paper; he was something of a recluse, and his letters and published writings were his main contact with the outside world. FitzGerald and Lodge, too, left very full records of their activities. Although all three were pioneers of electrical communications, they lived before telephones were common, and since they were physically separated—Heaviside in London and later Devon, Lodge in Liverpool, and FitzGerald in Dublin—they kept in touch mostly via letters, hundreds of which have been preserved. These enable us to reconstruct not only their work but something of their personalities and to see them engaged in the 1880s and 1890s in the lively business of remaking Maxwell’s theory and of probing, as they thought, into the ultimate foundations of the physical universe.

Maxwell himself is only a minor character in this story; he died before the Maxwellians’ work was well begun. But his ideas pervade the book, as they pervaded the Maxwellians’ own work. Though greatly reinterpreted and recast, Maxwell’s ideas always formed the core of the Maxwellian synthesis. In one of the most interesting of his unpublished writings, Heaviside reflected on the doctrine of the immortality of the soul. In its old religious sense, the idea had, he believed, been thoroughly discredited. But there was, he said, another “and far nobler sense” in which the soul truly was immortal. In living our lives, each of us “makes some impression on the world, good or bad, and then dies”; this impression goes on to affect future events for all time, so that “a part of us lives after us, diffused through all humanity, more or less, and all of Nature. This is the immortality of the soul,” Heaviside said. “There are large and there are small souls,” he went on.

The immortal soul of John Ploughman of Buckinghamshire is a small affair, scarcely visible. That of a Shakespeare or a Newton is stupendous. Such men live the best parts of their lives after they shuffle off the mortal coil and fall into the grave. Maxwell was one of those men. His soul will live and grow for long to come, and, thousands of years hence, it will shine as one of the bright stars of the past, whose light takes ages to reach us, amongst the crowd of others, not the least bright.[4]

This light from Maxwell has come down to us mainly through the Maxwellians; it was they who developed the most important implications of his theory and cast it into the form in which it has become most widely known. In the pages that follow, we trace how this light was refracted and refocused by the Maxwellians and how it was passed along to the next generation, to be transformed and reinterpreted again.


[1] Feynman 1964, 2:1.11

[2] Heaviside 1892, 2:393 [1888]

[3] Heaviside to FitzGerald, [Mar. 1895], FG-RDS; internal evidence places this undated fragment between FitzGerald’s letters to Heaviside of 8 and 15 Mar., OH-IEE.

[4] Heaviside notebook 8, OH-IEE; a slightly different version is quoted in Appleyard 1930: 257. It was probably written in 1886; cf. Heaviside 1892, 2:77 [1886].


Featured Image Source: Arrayás, M., Bouwmeester, D., & Trueba, J. L. (2017). Knots in electromagnetism. Physics Reports, 667, 1–61. doi:10.1016/j.physrep.2016.11.001 [link]. (cf. QRI’s topological solution to the phenomenal binding problem).

DMT and Hyperbolic Geometry: 1 Million Views Special

My 2019 presentation The Hyperbolic Geometry of DMT Experiences just hit one million views on YouTube:

The casual QRI enjoyer may get the impression that this video encapsulates our current understanding of the phenomenology of DMT. The dedicated QRI reader/watcher, however, knows that we are light-years ahead in our understanding relative to where we were at the time. So I figured that this would be a good opportunity to highlight some of the DMT-specific insights that we have presented since that video came out. But before I do so, let me briefly discuss why this work is actually advancing our understanding (unlike most psychedelic phenomenology work out there) and then summarize some of the core points presented in that video so that we are all on the same page before moving on to the new models:


Introduction: What’s Useful Phenomenology?

At QRI we have put a lot of effort into characterizing what it means to describe an exotic state of consciousness in a way that is actually useful (see our guide for how to write good trip reports). Here are some key points:

Most people who try to make sense of the DMT-induced state of consciousness focus on the intentional content (the narrative) of the experience, which isn’t actually that helpful (consider how both a mescaline trip and a DMT trip can give rise to a hallucination about e.g. “meeting a dragon in another dimension”, yet the texture of such experiences will be very different!). Many others obsess over the question of whether what one experiences on DMT has a reality outside your brain or not (cf. Andrew Zuckerman has made it easy for you to test a DMT prime factorization experiment, were you to be so inclined). While interesting, I don’t think these approaches really advance our understanding very much; they in fact leave an enormous amount of low-hanging fruit uncollected.

Instead, a more fruitful approach is to focus on describing what we call the phenomenal character of the experience (yes, the dragon is important, but please also tell us how the scales on the skin of the dragon were arranged, whether they followed any wallpaper symmetry group, what their flicker frequency was, what patterns of local binding they expressed, and so on). The overwhelming majority of trip reports you can find in the literature and online don’t even try to do this. They are just quite content with a narrative account and superficial descriptions of the sensorial components of the experience (“I saw a lot of orange triangles”). But some psychonauts do try to rise to the challenge of describing the phenomenal character of the experience. Two examples are:

A step above doing this is where we find people such as Josikins (of Subjective Effect Index fame) who spend copious amounts of time trying to systematically catalogue exotic phenomenology by carefully describing and then labeling each effect with a concept handle. See also DMT-Nexus‘ systematic Hyperspace Lexicon which is perhaps a bit of a hybrid between focusing on intentional content and phenomenal character.

What’s missing here, however, is that the output ends up being a zoo of effects. Presumably, however, DMT and other psychedelics don’t have that many direct effects. Rather, they probably affect the properties of the nervous system in specific ways that in turn, downstream, give rise to a complex variety of effects. In other words, to really understand what’s going on, one should try to find a minimal set of core effects such that by combining them you get the complexity that we observe. Here is where we find people like Steven Lehar (see The Grand Illusion) and James L. Kent (see Psychedelic Information Theory). They are really experienced psychonauts who then go on to use their subject-matter expertise (cognitive science and signal processing, respectively) to explain the characteristics of the exotic states of consciousness they have experienced. They have both produced really excellent work with significant explanatory power.

At QRI we do something like that, but on a higher level. Namely, the exploration is integrated with philosophy of mind, neuroscience, and neurotechnology. What makes QRI’s psychedelic theory different than what you will see in academia is that:

  • We know of and take seriously a vastly larger experience base to work with (compared to e.g. some labs where you are not even allowed to discuss your own experiences with your colleagues!)
  • We use the framework of algorithmic reduction (and other key QRI paradigms) to try to simplify the complexity in terms of a minimal set of effects interacting with one another
  • Explore non-standard paradigms of computing (e.g. see Mike’s A Future for Neuroscience and more recently the video on Non-Linear Wave Computing), and
  • We have a crisp philosophy of mind that allows us to make modular progress on specific questions rather than being crippled by the “hard problem of consciousness” (e.g. solving the boundary problem or the translation problem can be done without having to solve everything else at once)

In other words, we actually pay attention to the details of experience no matter how weird they may be (did you know that seeing a hyperbolic honeycomb while on DMT can make your visual field “glitch”? Why does that happen?). We don’t let the theory define the facts and instead let the facts define the theory. And we try to tie it all together in light of what we know about how the nervous system works.

Example of a *structural* feature of experience: the fractal dimension of phenomenal objects. Empirically, the Hausdorff dimension of DMT phenomenal objects increases with the dose. (Ps. be careful not to look at objects with a high Hausdorff dimension while on DMT, such as cauliflowers – don’t ask me why, just don’t).


The Hyperbolic Geometry of DMT Experiences

The original article (slides; ELI5) upon which the video is based is over 8,000 words long and a lot of material is covered in it. Here I will merely highlight some of the key arguments, concepts, and talking points.

  • To a first approximation, the article does three things:
    • (1) provide detailed phenomenology focused on the structural and dynamic features that arise at each dose.
    • (2) postulate possible algorithmic reductions to explain the emergence of such structural and dynamic features.
    • (3) speculate on the information-processing properties of the state in question.
  • We point out that the reason why it is so difficult to recall the DMT experiences is that they take place in a phenomenal world with different geometry. Hence, what you do remember is whatever can exist both here and there! That said, you can modify the phenomenal objects you experienced as you come down in order to impress on them hints about what they were like up there.
  • We explain the concept of algorithmic reductions and how to apply it here.
  • Provide 17 reasons why DMT experiences are highly suggestive of hyperbolic geometry (from the presence of saddles in DMT psychedelic replications to the explicit accounts of Ralph Abraham who said his DMT experiences were distinctly non-Euclidean).
  • (1) Phenomenology:
    • Threshold (1-4mg): Crisp and high-resolution experience without obvious hallucinations. Intensified colors and sharper edges.
    • Chrysanthemum (4-8mg): The surfaces become fully saturated with wallpaper symmetry groups and then overflow, leading to a hyperbolization of such surfaces. At this level, the mind will still try to embed these constructs in 3D Euclidean space, so in practice you will see kale-like surfaces, saddles, helixes, corners, twists, etc. This often manifests as what looks like the blossoming of a flower or unwrapping of a present in the center of your attention.
    • Magic Eye (8-12mg): The Chrysanthemum becomes so curved that it can be used to render arbitrary 3D scenes of all sorts (e.g. ice cream shops, apparel, play pens, kitchen counters, etc.). We can think of this as a dynamic and animated depth map, which we call the world-sheet. If you pay attention, you will realize that the texture of the world-sheet is in fact made out of a widely contorted Chrysanthemum, with similarities to autostereograms (aka. Magic Eye visual illusions). 
    • Waiting Room (12-25mg): The curved world-sheet fully saturates 3D space; qualia continues to build to the point the that it simply does not fit 3D Euclidean space. Thus there is a forced hyperbolization of 3D phenomenal space, which also comes along a powerful multi-modal synchronization (cf. Kinesioöptic). This, in turn, makes the hallucinated world so engrossing that you lose contact with your surroundings. Often manifests as a hyper-realistic dome or series of interconnected rooms and exotic architectural structures with countless twists and turns.
    • Breakthrough (25mg+): The curvature and density of qualia is so extreme that the very topology of the worldsheet can change (e.g. via bifurcations and reconnections). One experiences radically exotic geometries of experience. There may be more than one geodesic between two given points, leading to markedly bizarre pseudo-acoustic properties. Sense of entering a sort of “interdimensional highway” that stitches together widely diverse and seemingly contradictory realities at once. (Today I would add that at this dose different regions of the experience may exhibit different pseudo-time arrows, and thus may have hybrid temporal qualities, as discussed here).
    • Amnesia (40mg+; depends): Not much to say here.
    • DMT objects, DMT space expansion, and DMT entities are described in terms of the unique features of each level.
  • (2) Algorithmic Reductions:
    • Control Interruption + Symmetry detection = Change in Metric: This algorithmic reduction combines the two core psychedelic effects of tracers (here discussed in light of Kent’s control interrupt model of psychedelic action) and lowering the symmetry detection threshold. The first one can be thought of as making the decay of qualia over time slower, and so the homeostatic level of qualia in one’s world-simulation reachers a higher level than normal. In turn, the rate at which “distances are being measured” with symmetry detection also changes. These two effects combined may give rise a network of distances between phenomenal objects that has a hyperbolic metric.
    • Dynamic System Account: Energy Sources, Sinks and Invariants: This algorithmic reduction bears a lot of similarities with predictive processing, except that it works at the algorithmic rather than computational level of abstraction.
      • We define the “Hamiltonian of Consciousness” (aka. the “temperature parameter”) as the sum total of the intensity-weighted qualia in an experience. It is noted that on DMT many energy invariants get activated: intense color can morph into acceleration which can morph into curvature and so on, as if they were trading a common currency (a unified “energy of consciousness” property).
      • Energy Sources: attention works as an energy source and on DMT this becomes intensified (almost as if the voltage of attention increased). Thus whatever you pay attention to becomes energized (brighter, faster, more curved, etc.).
      • Energy Sinks: The two main energy sinks are symmetry (not unlike how a soap bubble radiates out its energy until it settles as a perfect sphere) and semantic content (i.e. recognition). Essentially, when a part of the world-sheet starts to look symmetrical, it will “snap into symmetry” because that’s an energy minima in the neighborhood of configuration-space. And when parts of it start to resemble something you have seen or thought about before, it will snap into that configuration. We call the latter kind “Bayesian energy sinks” because they implement our perceptual priors.
      • On DMT the homeostatic balance between energy sources and sinks favors a much higher level of energy. Since curvature contributes to the Hamiltonian, most of the highly-energized states of mind are highly curved. This model wonderfully explains two aspects of tripping: first, it accounts for why what one ends up experiencing is a bizarre hybrid of symmetrical and semantic structures (e.g. faces with extra eyes, boats with point symmetry along extra degrees of freedom, etc.). And second, it explains why there are discontinuities between levels. This is because when you overwhelm the energy sinks the configuration of the world-sheet becomes less recognizable, and in turn this further blocks the ability to shed off the energy into Bayesian sinks. As a consequence, the balance between semantic content and symmetries favors symmetries on higher doses (since we lack the capacity to “recognize” semantically meaningful shapes in highly energized world-sheets).
    • Hyperbolic Micro-structure of Consciousness: This algorithmic reduction focuses on the low-level microstructure of experience. It postulates that the material properties of the world-sheet at the microscopic level are such that by energizing it one experiences a sort of thermal expansion and deformation on the parts of the world-sheet one pays attention to.
    • We note that these three algorithmic reductions might be complementary rather than mutually exclusive.
  • (3) Information Processing Properties:
    • We point out that these exotic states of consciousness may allow us to experience from the inside mathematical shapes for which mathematicians have so far had enormous difficulty visualizing and making sense of. In particular, knot complements (i.e. the space around a knot deformed so that the knot becomes the boundary at infinity), higher dimensional objects, and irreducibly complex (“prime”) shapes native to hyperbolic geometry can be encountered and interacted with. We speculate that perhaps someday breakthroughs in higher math might in fact primarily come from consciousness research centers.

Furthermore, the video includes some extra insights not present in the original article:

  • We add two more levels (which live at the interface between levels already discussed):
    • Between Threshold and Chrysanthemum there is a thin layer we call Symmetry Hotel where you still see the “real” world around you but every surface is fully saturated with wallpaper symmetry groups. Empirically, at this level the surfaces one sees on DMT can be tessellated with any of the 17 wallpaper symmetry groups and their combinations. Essentially, if you increase the energy parameter any more, then you will start to see some hyperbolization of the 2D surfaces and unlock the Chrysanthemum.
    • Between Magic Eye and Waiting Room there is a thin layer we call Crystal Worlds. It’s analogous to the Symmetry Hotel but one spatial dimension higher. Namely, the space around you becomes fully saturated with Euclidean space groups. If the energy parameter is raised any higher, then you will start to see a hyperbolization of (3D) space itself and unlock Waiting Room phenomenology.
  • In addition to the Hamiltonian of Consciousness (i.e. the temperature parameter) there is also a really important feature of experience: information content or complexity.
  • These two features define a state-space we call the Energy X Complexity landscape.
  • In order to provide an algorithmic reduction for the complexity of experience, we suggest that it is the result of feedback dynamics. This allows us to import an ontology of attractor states, which includes fixed points, limit cycles, chaos, and noise-drive spatial structures.
  • Note: In the presentation I highly recommended watching Space-Time Dynamics in Video Feedback to get a feel for this ontology. Today I would also recommend playing with the suitably psychedelic feedback-based phone app called Fraksl.
  • What defines a DMT trip is not only how far you traveled into the Energy X Complexity landscape, but also what your trajectory on it was (cf. Typical N,N-DMT Trip Progression According to an Anonymous Reader).
    • If you want to anneal a blissful state, starting in a minimally complex state and “going up” without moving right (i.e. getting caught up in any complexity) would be ideal.
    • For discovering and investigating mathematically interesting and exotic phenomena, aiming towards the upper center region would be ideal. This is where the machine elves show you absolutely mind-boggling irreducibly complex synesthetic patterns of qualia for which we have no names.
    • For processing stored inner tension or trauma, it might be necessary to go to the middle right region in order to induce entropic disintegration of patterns and then come back via the low-complexity region to anneal a harmonious state.
  • We concluded the presentation by suggesting that a way forward for science to investigate DMT-like states of consciousness would be to plan legal retreats with physicists, mathematicians, electrical engineers, and visual artists so that the models here presented could be explored, tested, and further developed out in the open.

More Recent DMT Insights

The descriptions shown below merely scratch the surface. Think of them as pointers rather than the insights themselves. For the videos in particular, even if you don’t have the time to see them in full, I nonetheless recommend clicking on them and reading their descriptions (rather than merely the excerpts pasted below). Of course there really isn’t a good substitute for watching the entire video if you want the detailed explanation.

  • November 15, 2019 Break Out of the Simulation Day: Televised Entity Contact, Injection Pulling Experiments, and the Brain as a Game Engine (article)
    • This essay proposes a novel way of testing the independent reality of DMT entities: one could in principle determine that the brain state is being influenced by an external force by looking for the dynamic signatures of injection pulling in neuroimaging data.
  • July 1, 2020 5-MeO-DMT vs. N,N-DMT: The 9 Lenses (article)
    • This article describes 9 key differences between the phenomenology of DMT and 5-MeO-DMT: (1) Space vs. Form: 5-MeO is more space-like than DMT. (2) Crystals vs. Quasi-Crystals: 5-MeO generates more perfectly repeating rhythms and hallucinations than DMT. (3) Non-Attachment vs. Attachment: 5-MeO seems to enable detachment from the craving of both existence and non-existence, whereas DMT enhances the craving. (4) Underfitting vs. Overfitting: 5-MeO reduces one’s model complexity whereas DMT radically increases it. (5) Fixed Points and Limit Cycles vs. Chaotic Attractors: 5-MeO’s effect on feedback leads to stable and predictable attractors while DMT’s attractors are inherently chaotic. (6) Modulation of Lateral Inhibition: 5-MeO may reduce lateral inhibition while DMT may enhance it. (7) Diffuse Attention vs. Focused Attention: 5-MeO diffuses attention uniformly over large regions of one’s experiential field, while DMT seems to focus it. (8) Big Chunks and Tiny Chunks vs. A Power Law of Chunks: 5-MeO creates a few huge phases of experience (as in phases of matter) with a few remaining specks, while DMT produces a more organic power law distribution of chunk sizes. (9) Integration vs. Fragmentation: 5-MeO seems to give rise to “neural integration” involving the entrainment of any two arbitrary subnetworks (even when they usually do not talk to each other), while DMT fragments communication between most networks but massively enhances it between some specific kinds of networks.
  • October 9, 2020 Modeling Psychedelic Tracers with QRI’s Psychophysics Toolkit: The Tracer Replication Tool (article)
    • This is the first attempt at quantitatively and qualitatively measuring the tracer characteristics of DMT hallucinations (try it yourself!). Preliminary findings suggest that DMT is special relative to other psychedelics in the following ways. First, it has pronounced tracer effects. Second, they flicker at a much higher frequency than other drugs (~30 Hz relative to ~15-20 for LSD and ~12 for 2C-B). Third, there are both strobe and replay effects galore. Fourth, there is a color pulsing effect at a very high frequency (also around 30 Hz). Unlike 5-MeO-DMT, which gives rise to monochromatic tracers, on DMT the color of the tracers alternates between their positive and negative afterimages.
  • Jan 8, 2021 Why Does DMT Feel So Real? Multi-modal Coherence, High Temperature Parameter, Tactile Hallucinations (video essay)
    • This explains why it is so hard to not take at face value the reality of the hallucinations on DMT. When we take psychedelics, we learn what “channels” of information become distorted and which ones can be trusted. It turns out that DMT can mess with many more channels relative to other psychedelics (such as LSD, mescaline, or 2C-B). In particular, DMT is exceptional in the degree of (1) cross-modal coherence that it induces, (2) heat, giving rise to a very high temperature parameter of experience, and (3) realistic tactile hallucinations. These three features combined might go a long way in explaining why DMT feels so real. Namely, that you can experience detailed tactile feelings like “crossing a veil” or “being invaded by energetic bugs” or “being operated on” that are coherent with the information you are receiving from other senses and are felt with a level of intensity much greater than the feelings one is used to in everyday life. This synergizes to create a very realistic feeling of touching parallel realities.
  • Feb 15, 2021 A Language for Psychedelic Experiences: Algorithmic Reductions, Field Operators, and Dimensionality (video essay)
    • From the description: We suggest that a remarkably fruitful strategy for pointing at a whole family of psychedelic effects comes in the form of “field operators” that change the qualitative properties of our experiential fields. I provide a detailed description of what we call the “world-sheet” of experience and how it encodes emotional and semantic content in its very structure. The world-sheet can have tension, relaxation, different types of resonance and buzzing entrainment, twisting, curling, divergence (with vortices and anti-vortices in the attention field-lines), dissonance, consonance, noise, release, curvature, holographic properties, and dimensionality. I explain that in a psychedelic state, you explore higher up regions in the “Hamiltonian of the field”, meaning that you instantiate field configurations with higher levels of energy. There, we observer interesting trade-offs between the hyperbolicity of the field and its dimensionality. It can instantiate fractals of many sorts (in polar, cartesian, and other coordinate systems) by multi-scale entrainment. Time loops and moments of eternity result from this process iterated over all sensory modalities. The field contains meta-data implicitly encoded in its periphery which you can use for tacit information processing. Semantic content and preferences are encoded in terms of the patterns of attraction and repulsion of the attention-field lines.
  • May 8, 2021 Healing Trauma with Neural Annealing (article & presentation)
    • This writeup does a lot of things. While the focus is on application (i.e. how to heal trauma with psychedelics), it also lays out a very significant amount of novel psychedelic theory. Excerpt: A lot of psychedelic phenomenology suggests that there is a duality between the vibe of the state and the geometric layout of the multi-modal hallucinations. In other words, each phenomenal object has a corresponding way of vibrating, and this is experienced as a holistic signature of such objects. (cf. Resonance and vibration of [phenomenal] objects). (See also: Hearing the shape of a drum). In the context of this presentation, the most important idea of this slide is that the duality between standing wave patterns and the vibe of the experience showcases how symmetry and valence are related. Blissful “heavenly realms” on DMT are constructed in ways where the resonance of the phenomenal objects with each other is consonant and their structure is symmetrical. Likewise, the screechy and painful quality of the DMT “hell realms” comes along with asymmetries, discontinuities, and missing components in the phenomenal objects that make up experiences. The overall vibe of the space is the result of the intrinsic vibratory modes of each phenomenal object in addition to each of the possible interactions between them (weighted by their phenomenal distance). An analogy readily comes to mind of an orchestra and the challenges that come with making it sound consonant. […] We hypothesize that DMT’s effects at the implementation level can be understood as the result of competing clusters of coherence across the hierarchy, whereas the main attractors of 5-MeO-DMT seem to involve global coherence. Modulating the average synaptic path length in a system of coupled oscillators can give rise to this sort of effect. By randomly adding connections to a network of coupled oscillators one first sees an emergent state of many competing patches of synchrony, and then, after a threshold is crossed, one starts seeing global synchrony emerge. Despite both drugs making the brain “more interconnected”, the slight difference in just how interconnected it makes it, may be the difference between the colorful chaos of DMT and the peaceful nothingness of 5-MeO-DMT. The competing clusters of coherence across the hierarchy can evolve to adapt to each other. The DMT realm is more of an ecosystem than it is a state per se (ex: Hyperspace Lexicon). And due to the duality between dissonance minimization and prediction error minimization, avoiding updating one’s belief in the direction of these realms being real causes intense cognitive dissonance. Some level of belief updating to fit the content of the hallucinations might be very difficult to resist. Indeed, the forced coherence across the layers of the hierarchy would be bypassing one’s normal ability to resist information coming from the lower layers.
      As you can see, contrary to what many people in the comments* seem to say, DMT visuals are in fact extremely important and not at all just a superficial aspect of the experience. Due to the duality between the vibe of the state and the geometric layout of the multi-modal hallucinations, it is always the case that the geometry of your experience will be a reflection of your emotional processing! Solving for harmony in your hallucinations will in turn have unexpected harmonizing effects at the emotional level as well.
  • May 31, 2021 DMT vs. 5-MeO-DMT: 12 Key Differences (video essay)
    • This video essay expands on the article and adds three key differences: (10) Global Coherence vs. Competing Clusters of Coherence: 5-MeO-DMT gives rise to a global coherent state (the so-called “unified energy field”), whereas DMT gives rise to an ecosystem of time-loops, each trying to capture as much of your attention as possible, which in turn results in coalition-building and evolution of patterns in the direction of being very “attention grabbing” (cf. reddit.com/r/place). (11) Really Positive or Really Negative Valence vs. Highly-Mixed Valence: 5-MeO-DMT gives rise to either a globally coherent state (high-valence) or two competing coherent states (negative-valence), whereas DMT tends to generate complex consonance/dissonance relationships between the clusters of coherence. (12) How they are different according the the Free Energy Principle: On 5-MeO-DMT the entire experience has to reinforce itself, whereas each cluster of coherence needs to model the rest of the experience in order to be reinforced by it on DMT. Thus 5-MeO-DMT makes experiences that express “the whole as the whole” whereas DMT makes each part of the experience represent the whole yet remains distinct.
  • Jun 20, 2021 Psychedelics and the Free Energy Principle: From REBUS to Indra’s Net (video essay)
    • The key achievement of this video is to discuss the Free Energy Principle and Predictive Processing at the implementation level of analysis in light of Neural Annealing, the Symmetry Theory of Valence, and Holistic Field Behavior. Here we realize that prediction errors feel bad not because they are inherently negative, but because the nervous system is implemented in such a way that they generate dissonance. More so, there is also a dissonance cost to model complexity (complex internal representations “self-intersect” and thus generate dissonance). This balances out so that our nervous system minimizing dissonance ends up generating relatively simple models with high levels of accuracy. In other words, it avoids both underfitting and overfitting merely by trying to minimize internal dissonance! The video also articulates how Bayesian Energy Sinks might be implemented. It concludes with a derivation of the “mystical” (or psychedelic, really) state of Indra’s Net, i.e. why on substances such as DMT it often feels like “everything reflects everything else”. Indra’s Net, it turns out, can be explained as a local energy minima of a highly energized system of coupled oscillators organized hierarchically so that each “competing cluster of coherence” minimizes its energy by predicting perfectly the behavior of the surrounding ones. In other words, each “competing cluster of coherence” needs to model its environment in order to synch up with it in a reinforcing way. This leads to attractor states where everything is a reflection of everything else.
  • Sep 24, 2021 Are Higher Dimensions Real? From Numerology to Precision Xenovalence – 4 5 6 8 10 12 16 20 24 32 (video essay)
    • This video explains how a system of coupled oscillators can in fact instantiate virtual higher dimensions. Namely, dynamic systems that behave as if they were embedded in a higher spatial dimension. There is a trade-off between degrees of freedom and higher virtual dimensions. It argues that indeed on DMT one can experience such higher dimensions and that in light of the Symmetry Theory of Valence there is a corresponding “generalized music theory” that explains why some of them feel good and others not. Additionally, there seems to be an algebra for how “DMT objects” with specific dimensionalities can be composed with one another (the 2D symmetry slabs found in Symmetry Hotel can be composed with each other to form 3D spatial structures native to the Crystal World level).
  • Jan 30, 2022 Qualia Computing: How Conscious States Are Used For Efficient And Non-Trivial Information Processing (video essay)
    • From the video description: The reason we are conscious is because being conscious allows you to recruit self-organizing principles that can run on a massively parallel fashion in order to find solutions to problems at [wave propagation] speed. Importantly, this predicts it’s possible to use e.g. a visual field on DMT in order to quickly find the “energy minima” of a physical state that has been properly calibrated to correspond to the dynamics of a world-sheet in that state. This is falsifiable and exciting.
  • Feb 26, 2022 Full-Spectrum Superintelligence: From Shape Rotator to Benevolent Rainbow God
    • From the video description: High-octane mental power, when pointed in a pointless direction, is not particularly useful. Thus, we must enrich our conception of intelligence to encapsulate philosophical, meditative, and existential cognition. And, perhaps the Crown Jewel of Intelligence: the ability to explore, make sense of, navigate, and recruit exotic states of consciousness for information processing and aesthetic purposes. In particular, I make the case that intelligence is truly about identifying *self-organizing principles* of physics that are energetically cheap which can *solve the problem for you* (cf. “Repulsive Shape Optimization”).
  • Mar 5, 2022 Non-Linear Wave Computing: Vibes, Gestalts, and Realms (video essay)
    • DMT both energizes one’s state of consciousness and also provides a new medium of wave propagation. At a sufficient dose (>5mg) it takes one’s consciousness to the non-linear regime. This video discusses the very nature of vibes, how gestalts arise, and how they assemble to form realms. It also explains how a vibe acquires its valence (partly through its ADSR envelope characteristics). If you only watch one video, make it this one.
  • Mar 15, 2022 Attention & Awareness: Oscillatory Complementarity, Non-Linearities, and the Pointlessness of It All (video essay)
    • This video explains how DMT objects emerge out of exotic attention-awareness patterns. From the video description: LSD non-duality can be understood as more diffuse elements of experience becoming the non-linear oscillatory complements of the field of awareness, such as “light”, “space”, and “being”. DMT’s competing clusters of coherence and their compositional properties also emerge naturally out of a hyper-energized field of awareness that generates oscillatory complements. 5-MeO-DMT is a straight path to insight territory, as it activates a new medium of wave-propagation orthogonal to the one in which our world-simulation is typically embedded. And so on… I also re-evaluate the models introduced in the original Qualia Computing article on the geometry of DMT experiences in light of this new paradigm. In particular, I delve into the concept of exotic attention in the form of wallpaper symmetry groups and Bayesian energy sinks.

DMT-related Media Appearances

Since the Harvard presentation, I have also given many other presentations and participated in podcasts, some of which touch upon DMT. Here is a selection of some of the most relevant ones:


Note: Of course all of this still needs to be synthesized, presented, and written up in ways that can interface more smoothly with academia and the world at large. That said, I constantly get emails and messages from people in academia (typically PhD students, but often also professors and even heads of labs) telling me that QRI’s psychedelic theory is the most illuminating content they are aware of when it comes to how to make sense of exotic states of consciousness. One relatively well-known academic described our models in private as “two steps ahead of the current understanding in academia”. Sadly, I am also aware of a few peer reviewed articles and publications that present our ideas as their own- ideas which we shared with the authors in private meetings, where they told us they were insightful and new to them at the time. I would kindly request to any academic reader of QRI to please cite our articles and videos if they inspired or informed their research in any way. It’s of course a matter of intellectual integrity to do so (and contrary to common misconception, you can in fact cite blogposts and YouTube videos in your scientific articles! In fact, not doing so when you got a key insight from them goes against the very spirit of science. Please do so when appropriate). Thank you, and remember that citing us for our meaningful contributions to the field will put a smile on my face! 🙂

(source)


Special thanks to: Everyone at QRI (especially Michael Johnson, for years of fruitful collaboration on these topics). Andrew Zuckerman and Kenneth Shinozuka who were instrumental for setting up this presentation and so many other things. Quintin Frerichs who 3D-printed and brought the cool shapes shown in the video**, not to speak of his outstanding internal technical contributions. Romeo Stevens for all the incredible support (he was also there in the audience!). Anders Amelin and Maggie Wassinge for their brilliant and holistic contributions to the conversation. Marcin Kowrygo and Hunter Meyer for stepping up in times of need and being such great and dedicated helpers in so many ways. The extended QRI network and anonymous psychonauts who have participated in fruitful discussions and informed our models. David Pearce for years of friendship and collaboration in this and related areas. Our donors for bravely supporting our projects despite how crazy they may seem from the outside view. And to YOU, dear reader. Thank you all!

Infinite bliss!


* You can find my response to the most common kinds of comments on the video here: Collecting Qualia Souvenirs.

**They are technically {5,3,4} hyperbolic honeycombs drawn in the Poincaré ball model. We got the files from Henry Segerman‘s website.

Review of Log Scales


This is my 2022 review of Logarithmic Scales of Pleasure and Pain: Rating, Ranking, and Comparing Peak Experiences Suggest the Existence of Long Tails for Bliss and Suffering (2019; QRI link; forum link), written for the EA Forum First Decade Review; permalink of the review; read all reviews and vote for submissions here.



I would like to suggest that Logarithmic Scales of Pleasure and Pain (“Log Scales” from here on out) presents a novel, meaningful, and non-trivial contribution to the field of Effective Altruism. It is novel because even though the terribleness of extreme suffering has been discussed multiple times before, such discussions have not presented a method or conceptual scheme with which to compare extreme suffering relative to less extreme varieties. It is meaningful because it articulates the essence of an intuition of an aspect of life that deeply matters to most people, even if they cannot easily put it into words. And it is non-trivial because the inference that pain (and pleasure) scales are better understood as logarithmic in nature does require one to consider the problem from multiple points of view at once that are rarely, if ever, brought up together (e.g. combining empirical deference graphs, descriptions of pain scales by their creators, latent-trait analysis, neural recordings, and psychophysics). 

Fundamentally, we could characterize this article as a conceptual reframe that changes how one assesses magnitudes of suffering in the world. To really grasp the significance of this reframe, let’s look back into how Effective Altruism itself was an incredibly powerful conceptual reframe that did something similar. In particular, a core insight that establishes the raison d’etre of Effective Altruism is that the good that you can do in the world with a given set of resources varies enormously depending on how you choose to allocate it: by most criteria that you may choose (whether it’s QALYs or people saved from homelessness), the cost-effectiveness of causes seem to follow much more closely (at least qualitatively) a long-tail rather than a normal distribution (see: Which world problems are the most pressing to solve? by Benjamin Todd; the long-tail on the left below). In turn, this strongly suggests that researching carefully how to invest one’s altruistic efforts is likely to pay off in very large ways: choosing a random charity versus a top 1% charity will lead to benefits whose scale differs by orders of magnitude.

Log Scales suggests that pain and pleasure themselves follow a long-tail distribution. In what way, exactly? Well, to a first approximation, across the entire board! The article (and perhaps more eloquently the subsequent video presentation at the NYC EA Meetup on the same topic) argues that when it comes to the distribution of the intensity of hedonic states, we are likely to find long-tails almost independently of the way in which we choose to slice or dice the data. This is analogous to, for example, how all of the following quantities follow long-tail distributions: avalanches per country, avalanches per mountain, amount of snow in mountains, number of avalanche-producing mountains per country, size of avalanches, number of avalanches per day, etc. Likewise, in the case of the distribution of pain, the arguments presented suggest we will find that all of the following distributions are long-tails: average pain level per medical condition, number of intensely painful episodes per person per year, intensity of pain per painful episode, total pain per person during life, etc. Thus, that such a small percentage of cluster headache patients accounts for the majority of episodes per year would be expected (see: Cluster Headache Frequency Follows a Long-Tail Distribution; the long-tail on the right above), and along with it, the intensity of such episodes themselves would likely follow a long-tail distribution.

This would all be natural, indeed, if we consider neurological phenomena such as pain to be akin to weather phenomena. Log Scales allows us to conceptualize the state of a nervous system and what it gives rise to as akin to how various weather conditions give rise to natural disasters: a number of factors multiply each other resulting in relatively rare, but surprisingly powerful, black swan events. Nervous systems such as those of people suffering from CRPS, fibromyalgia, and cluster headaches are like the Swiss Alps of neurological weather conditions… uniquely suited for ridiculously large avalanches of suffering.

Log Scales are not just of academic interest. In the context of Effective Altruism, they are a powerful generator for identifying new important, neglected, and tractable cause areas to focus on. For instance, DMT for cluster headaches, microdose ibogaine for augmentation of painkillers in sufferers of chronic pain, and chanca piedra for kidney stones (writeup in progress) are all what we believe to be highly promising interventions (of the significant, neglected, and tractable variety) that might arguably reduce suffering in enormous ways and that would not have been highlighted as EA-worthy were it not for Log Scales. (See also: Get-Out-Of-Hell-Free Necklace). On a personal note, I’ve received numerous thank you notes by sufferers of extreme pain for this research. But the work has barely begun: with Log Scales as a lens, we are poised to tackle the world’s reserves of suffering with laser-focus, assured in the knowledge that preventing a small fraction of all painful conditions is all that we need to abolish the bulk of experiential suffering.

But does Log Scales make accurate claims? Does it carve reality at the joints? How do we know?

The core arguments presented were based on (a) the characteristic distribution of neural activity, (b) phenomenological accounts of extreme pleasure and pain, (c) the way in which the creators of pain scales have explicitly described their meaning, and (d) the results of a statistical analysis of a pilot study we conducted where people ranked, rated, and assigned relative proportions to their most extreme experiences. We further framed this in terms of comparing qualitative predictions from what we called the ​​Normal World vs. Lognormal World. In particular, we stated that: “If we lived in the ‘Lognormal World’, we would expect: (1) That people will typically say that their top #1 best/worst experience is not only a bit better/worse than their #2 experience, but a lot better/worse. Like, perhaps, even multiple times better/worse. (2) That there will be a long-tail in the number of appearances of different categories (i.e. that a large amount, such as 80%, of top experiences will belong to the same narrow set of categories, and that there will be many different kinds of experiences capturing the remaining 20%). And (3) that for most pairs of experiences x and y, people who have had both instances of x and y, will usually agree about which one is better/worse. We call such a relationship a ‘deference’. More so, we would expect to see that deference, in general, will be transitive (a > b and b > c implying that a > c).” And then we went ahead and showed that the data was vastly more consistent with Lognormal World than Normal World. I think it holds up.

An additional argument that since has been effective at explaining the paradigm to newcomers has been in terms of exploring the very meaning of Just-Noticeable Differences (JNDs) in the context of the intensity of aspects of one’s experience. Indeed, for (b), the depths of intensity of experience simply make no sense if we were to take a “Just-Noticeable Pinprick” as the unit of measurement and expect a multiple of it to work as the measuring rod between pain levels in the 1-10 pain scale. The upper ends of pain are just so bright, so immensely violent, so as to leave lesser pains as mere rounding errors. But if on each step of a JND of pain intensity we multiply the feeling by a constant, sooner or later (as Zvi might put it) “the rice grains on the chessboard suddenly get fully out of hand” and we enter hellish territory (for a helpful visual aid of this concept: start at 6:06 of our talk at the 2020 EAGxVirtual Unconference on this topic).

From my point of view, we can now justifiably work under the assumption that the qualitative picture painted by Log Scales is roughly correct. It is the more precise quantitative analysis which is a work in progress that ought to be iterated over in the coming years. This will entail broadening the range of people interviewed, developing better techniques to precisely capture and parametrize phenomenology (e.g. see our tool to measure visual tracers), use more appropriate and principled statistical methods (e.g. see the comment in the original piece about the Bradley-Terry model and extreme value theory), experimental work in psychophysics labs, neuroimaging research of peak experiences, and the search for cost-effective pragmatic solutions to deal with the worst suffering. I believe that future research in this area will show conclusively the qualitative claims, and perhaps there will be strong consilience on the more precise quantitative claims (but in the absence of a true Qualiascope, the quantitative claims will continue to have a non-negligible margin of error).

Ok, you may say, but if I disagree about the importance of preventing pain, and I care more about e.g. human flourishing, why should I care about this? Here I would like to briefly address a key point that people in the EA sphere have raised in light of our work. The core complaint, if we choose to see it that way, is that one must be a valence utilitarian in order to care about this analysis. That only if you think of ethics in terms of classical Benthamite pain-minimization and pleasure-maximization should we be so keen on mapping the true distribution of valence across the globe. 

But is that really so?

Three key points stand out: First, that imperfect metrics that are proxies for aspects of what you care about (even when not all that you care about) can nonetheless be important. Second, that if you cared a little about suffering already, then the post-hoc discovery that suffering is actually that freaking skewed really ought to be a major update. And third, there really are reasons other than valence maximization as a terminal goal to care about extreme suffering: intense suffering is antithetical to flourishing since it has long-term sequelae. More so, even if confined to non-utilitarian ethical theories, one can make the case that there is something especially terrible about letting one’s fellow humans (and non-humans) suffer so intensely without doing anything about it. And perhaps especially so if stopping such horrors turn out to be rather easy, as is indeed the case.

Let’s tackle these points each in turn.

(1) Perhaps here we should bring a simple analogy: GDP. Admittedly, there are very few conceptions of the good in which it makes sense for GDP to be the metric to maximize. But there are also few conceptions of the good where you should disregard it altogether. You can certainly be skeptical of the degree to which GDP captures all that is meaningful, but in nearly all views of economic flourishing, GDP will likely have a non-zero weight. Especially if we find that, e.g. some interventions we can do to the economy would cause a 99.9% reduction in a country’s GDP, one should probably not ignore that information (even if the value one assigns to GDP is relatively small compared to what other economists and social scientists assign it). Likewise for extreme suffering. There might be only a few conceptions of the good where that is the only thing we ought to work on. But avoiding hellish states is a rather universally desired state for oneself. Why not take it at least somewhat into account?

In truth, this is not something that classical questions in Effective Altruism pre-Log Scales couldn’t overcome either. For instance, as far as I am aware, in practice QALYs are used more as a guide than as an absolute; their value within EA comes from the fact that in practice interventions are orders of magnitude different when it comes to their cost-effectiveness when assessed with QALYs. So even though the vast majority of EAs are not QALY absolutists, the differences in QALYs saved between interventions are large enough that as an approximate guide, the metric still generates huge amounts of consilience.

(2) In turn, the post-hoc finding that hellish states are much, much worse than one would intuitively believe really should at least rebalance one’s priorities somewhat. Is there really no amount of suffering that would do so? Unless one has a utility function akin to a ReLu activation function, going far enough down into the depths of hell ought to count for something. And…

(3) Speaking candidly, fully articulating the true significance of this finding will take us to philosophically polemical territory: philosophy of personal identity where person-affecting views will see the situation quite differently than person-moment-affecting views, philosophy of mind where the ontological status of pleasure and pain might be questioned, and intricate questions that arise at the interface between the views of virtue ethicists, deontologists, negative and classical utilitarians. Of course a negative utilitarian who believes in Empty Individualism and Eternalism at the same time will likely be especially horrified by this information. But, with that said, I would suggest that there are good reasons to care about Log Scales no matter how antithetical one’s views are to philosophical hedonism

In particular, I would argue that deontologists and virtue ethicists should still take note. The cultivation of virtue requires a minimum of wellbeing in order to maintain motivation to live. And perhaps deontologists might find extreme suffering particularly egregious from the point of view of “things so horrible that ought not to be”. Really, the people we interviewed for the cluster headache writeup told us that experiencing such levels of hellish suffering causes profound psychological transformations (e.g. one interviewee told us that experiencing the higher ends of pain in a cluster headache feels like a profound “spiritual violation” from which you may never recover – a feeling most certainly aggravated by the seeming indifference of people at large about their plight). Virtue ethicists and deontologists might as well recognize this cause area as work that is unconscionable not to perform, regardless of arguments based on the precise mathematical optimization of the prevention of negative valence.

And finally, in all seriousness, as the cognitive intelligentsia of the world begins to see clearly the nature of the distribution of pleasure and pain, we can expect there to be a big social benefit to being the one who destroys hell. Right now there isn’t a huge social reward to be obtained by working on this cause, but I predict this will change. And, pragmatically, it is sensible to present this cause in a motivating rather than depressing light: indeed, let’s give honor, glory, and endless admiration to whoever makes tangible progress in tearing hell down. And to all of the millionaires and billionaires reading this: this could be you! You could be the one who took on the mantle of preventing all future cluster headaches, established the field of anti-tolerance drugs for severe chronic pain, or got rid of kidney stones (and you did it before it was cool!). Let’s get to work!


A Field Equation to Mend the World

Excerpt from The Science of Enlightenment (2005) by Shinzen Young (p. xv-xvii)

Author’s Preface

It took me quite a while to get to the point of publishing this book — many years actually. That may seem like a strange statement. How can someone not get the point of publishing something they themselves wrote? Let me explain.

A central notion of Buddhism is that there’s not a thing inside us called a self. One way to express that is to say that we are a colony of sub-personalities and each of those sub-personalities is in fact not a noun but a verb–a doing.

One of my doings is Shinzen the researcher. Shinzen the researcher is on a mission to “take the mist out of mysticism.” Contrary to what is often claimed, he believes that mystical experience can be described with the same rigor, precision, and quantified language that one would find in a successful scientific theory. In his opinion, formulating a clear description of mystical experience is a required prenuptial for the Marriage of the Millennium: the union of quantified science and contemplative spirituality. He hopes that eventually this odd couple will exuberantly make love, spawning a generation of offspring that precipitously improves the human condition.

Shinzen the researcher also believes that many meditation masters, current and past, have formulated their teachings with “less than full rigor” by making unwarranted, sweeping philosophical claims about the nature of objective reality based on their subjective experiences—claims that tend to offend scientists and, hence, impede the science-spiritually courtship.

Shinzen the researcher has a natural voice. It’s the style you would find in a graduate text on mathematics: definition, lemma, theorem, example, corollary, postulate, theorem. Here’s a sample of that voice:

It may be possible to model certain global patterns of brain physiology in ways that feel familiar to any trained scientist, i.e., equations in differential operators on scalar, vector, or tensor fields whose dependent variables can be quantified in terms of SI units and whose independent variables are time and space (where space equals ordinary space or some more esoteric differential manifold). It is perhaps even possible to derive those equations from first principles the way Navier-Stokes is derived from Cauchy continuity. In such fields, distinctive “flow regimes” are typically associated with relations on the parameters of the equations, i.e., F(Pj) → Q, where Q is qualitative change in field behavior. By qualitative change in field behavior, I mean things like the appearance of solitons or the disappearance of turbulence, etc. Through inverse methods, it may be possible to establish a correspondence between the presence of a certain parameter relation in the equations modeling a field in a brain and the presence of classical enlightenment in the owner of that brain. This would provide a way to physically quantify and mathematically describe (or perhaps even explain) various dimensions of spiritual enlightenment in a way that any trained scientist would feel comfortable with.

That’s not the voice you’ll be hearing in this book. This book is a record of a different Shinzen, Shinzen the dharma teacher, as he talks to students engaged in meditation practice. Shinzen the dharma teacher has no resistance at all to speaking with less than full rigor. He’s quite comfortable with words like God, Source, Spirit, or phrases like “the nature of nature.” In fact, his natural voice loves spouting the kind of stuff that makes scientists wince. Here’s an example of that voice:

The same cosmic forces that mold galaxies, stars, and atoms also mold each moment of self and world. The inner self and the outer scene are born in the cleft between expansion and contraction. By giving yourself to those forces, you become those forces, and through that, you experience a kind of immortality–you live in the breath and pulse of every animal, in the polarization of electrons and protons, in the interplay of the thermal expansion and self-gravity that molds stars, in the interplay of dark matter that holds galaxies together and dark energy that stretches space apart. Don’t be afraid to let expansion and contraction tear you apart, scattering you in many directions while ripping away the solid ground beneath you. Behind that seeming disorder is an ordering principle so primordial that it can never be disordered: father-God effortlessly expands while mother-God effortlessly contracts. The ultimate act of faith is to give yourself back to those forces, give yourself back to the Source of the world, and through that, become the kind of person who can optimally contribute to the Mending of the world.

Shinzen the hard-nosed researcher and Shinzen the poetic dharma teacher get along just fine. After all, they’re both just waves. Particles may bang together. Waves automatically integrate. Just one problem though. The researcher is a fussy perfectionist. He is very resistant to the notion of publishing anything that lacks full rigor. Spoken words return to silence from where they came from. Printed text sits around for centuries waiting for every tiny imprecision and incompleteness to be exposed.

So it took a while for me to see value in allowing my talks to be published in something close to their original spoken form.


See also:


This video discusses the connections between meditative flow (any feeling of change) and the two QRI paradigms of “Wireheading Done Right” and “Neural Annealing“. To do so, I explore how each of the “seven factors of awakening” can be interpreted as operations that you do to flow. In a nutshell: the factors are “energy management techniques”, which when used in the right sequences and dosages, tend to result in wholesome neural annealing.

I then go on to discuss two fascinating dualities: (1) The dual relationship between standing wave patterns and vibratory frequencies. And (2) the dual correspondence between annealing at the computational level (REBUS) and annealing in resonance networks.

(1) Describes how the crazy patterns that come out of meditation and psychedelics are not irrelevant. They are, in a way, the dual counterpart to the emotional processing that you are undergoing. Hence why ugly emotions manifest as discordant structures whereas blissful feelings come together with beautiful geometries.

(2) Articulates how simulated annealing methods in probabilistic graphical models such as those that underlie the synthesis of entropic disintegration and the free energy principle (Friston’s and Carhart-Harris’ REBUS model) describe belief updating. In contrast, annealing at the implementation level refers to a dissonance-minimization technique in resonance networks. In turn, if these are “two sides of the same coin”, we can expect to find that operations in one domain will translate to operations in the other domain. In particular, I discuss how resisting information (“denial”, “cognitive dissonance”) has a corresponding subjective texture associated with muscle tension, “resistance”, viscosity, and hardness. Equanimity, in turn, allows the propagation of both waves of dissonance, consonance, and noise as well as bundles of information. This has major implications for how to maximize the therapeutic benefit of psychedelics.

Finally, I explain how we could start formalizing Shinzen Young’s observation that you can, not only “read the contents of your subconscious“, but indeed also “heal your subconscious by greeting it with enough concentration, clarity, and equanimity”. Negentropy in the resonance network (patches of highly-ordered “combed” coherent resonance across levels of the hierarchy) can be used to heal patches of dissonance. This is why clean high-valence meditative objects (e.g. metta) can absorb and dissipate the internal dissonance stored in patterns of habitual responses. In turn, this might ultimately allow us to explain why, speaking poetically, it is true that love can heal all wounds. 🙂

~Qualia of the Day: Nirvana Rose~

(Skip to ~10:00 if you don’t need a recap of Wireheading Done Right and Neural Annealing)

Collecting Qualia Souvenirs

The Tracer Tool is available here.


Andrew Zuckerman (Zuck) recently presented at IPN’s[1] PsychedelX[2] conference about QRI’s Tracer Tool:

Video description: How can we bring back information from conscious states, especially from exotic and altered states of consciousness? This talk covers Qualia Research Institute’s tracer replication tool and how we can turn what until now has been qualitative descriptions and informal approximations of the psychedelic tracer phenomenon into concrete quantitative replications.

I think that Zuck does a great job at walking you through the features of the tool. If you watch the video you will understand the difference between trails, replays, and strobes. You will get an intuitive feel for what color pulsing means. It will teach you how ADSR envelopes affect tracer effects. And it will give you a sense of how we can use the Tracer Tool to quantify how high you are, how synergistic drugs are, and how valenced a given tracer pattern is. Of course this is explained in the original writeup (linked above), but Zuck’s presentation might be more appropriate if you don’t have the time to read 10,000 words. I recommend it highly.

Qualia Souvenirs

One of the concepts that Zuck introduces in his presentation is that of a qualia souvenir. Just like how it is very nice to bring back a keychain with a picture of the place of your vacation as a souvenir, perhaps we could generalize this notion to include experiences as a whole. That is, how do we create a souvenir for an experience? As Zuck points out, taking a picture while on a psychedelic simply won’t do. You need to capture the quality of your experience, rather than merely the content of the inputs at the time.

With the Tracer Tool (and tools we will be sharing in the future) you can do just that. Well, you can at least replicate a component of your experience. And little by little, as we develop the tools to replicate more and more such components, we will slowly get to the point where you can genuinely recreate a snapshot of your psychedelic experience (or at least to the extent that images and sounds can evoke its nature).

Make It Social

One of the features of the Tracer Tool that I failed to emphasize in the original writeup was that we put a lot of effort into making the submissions shareable. There are several ways you could do this, in fact. The simplest is to fiddle with the parameters until you get an accurate tracer replication and then click on “Start Recording Video” and then click “Stop Recording Video” when you have captured what you want. Then it’s as simple as clicking on “View/Download Video” and then on “Download”. You’ll get a .webm file, which is supported by most large image-sharing sites (e.g gfycat.com). And if you want or need it in a .gif format (e.g. to share it on Facebook), you can use a free online converter.

Alternatively, you can click “Share Parameters” and copy the JSON that is displayed. You can then share it with your friends, who will click on “Import Parameters” and paste the JSON you gave them. The advantage of this method versus the previous one is that you can edit others’ qualia souvenirs and work together to create specific effects. It is also a way for you to “save” your work if you are not quite done and want to continue fiddling with the parameters later on, but don’t want to lose the work you have already put into it.

This is all to say: Make it social! It’s easy! Add tracer replications to your trip reports. Share them in social media. Use them to help your doctor understand the severity of your HPPD. Share them with friends and family (well, maybe not family, lest you want Grandma to know intimate phenomenological details of your LSD trip – there’s every kind of family, you know?). And so on. Let’s normalize psychedelic tracers!

Side-By-Side

A recent improvement to the tool that Zuck mentions in the video is the fact that we now display two bouncing balls rather than just one. This is in order to mitigate the problem that when you are tripping, the simulated tracers will get in the way of the actual tracers. And while this is still a bit of a problem, having one bouncing ball without simulated tracers can be really helpful when fiddling with the parameters on psychedelics:

Side-by-side: left side with tracers, right side without tracers.

We got a trip report from someone who took 100μg LSD who used the tool once we had added the second ball. This person said that the second ball was extremely helpful and that it allowed them to confidently estimate the replay frequency (14.5Hz):

100μg LSD 4 hours after dosing

It’s satisfying to see someone being confident about the replay frequency. The 14.5Hz in this case is not too far off from the 15-20Hz range previously estimated for LSD. And the best part is that this was done during the trip and in real time. The person who submitted this datapoint specifically said that it was very clear that the effect was one of replay rather than strobe, and that they were able to accurately estimate the replay frequency by adjusting the spacing so that there would be a match between the simulated trail effects on the left with the real trail effects on the right. We expect this to be a skill very amenable to training and we hope the psychonautic community starts paying attention to it.

Tracer Tool on Psychedelic YouTube

I recently found a really interesting YouTube channel: Junk Bond Trader (JBT for short). I found it by looking for quality 5-MeO-DMT trip reports and I thought that his video about it was good enough for me to look deeper into his work.

One of the things I really enjoy about his style is that he describes the quality of his altered states in a very matter-of-fact way without taking the experience at face value. He also has a chill demeanor, epistemologically optimistic and curious rather than stuck in a wall of confusion or vibing in mysterianism. This is quite rare in Psychedelic YouTube. Exaggerating a little, I find that psychedelic-adjacent personalities tend to undergo changes that end up being difficult to square with the sort of slow and humble attention to detail needed for science and serious phenomenology. Perhaps we can think of this in terms of archetypes. When someone starts to explore psychedelics they often begin by embodying the archetype of the explorer. Namely, being driven by curiosity about what’s out there in the state-space of consciousness. After a number of powerful experiences, the driving archetype often shifts. The direct exposure to high-energy high-integration states of mind tends to anneal a new self-concept. The archetype they embody tends to drift to things like the psychedelic mystic, priest, educator, messiah, warrior, evangelist, shaman, prophet, counselor, or healer. It is rare to see someone who after many such exposures remains in the explorer wavelength; undoubtedly one of the most useful archetypes for science. In addition to an explorer, JBT is also a synthesizer in that he makes detailed analyses pointing out the common features across many experiences. For instance, I loved his retrospective analysis of about 40 DMT trips (see: part 1, 2, 3, & 4).

Steven Lehar is right, psychedelic experiences are harder to dissect when one is young and impressionable. It is quite likely that the best phenomenological reports will come from people who are at least 30 years old and who have a wealth of crystallized knowledge to use in order to describe their experiences. Speaking of which, I would say that Steven is also someone who successfully maintained the archetype of explorer throughout his psychedelic explorations without lapsing into any other less helpful archetype. But more than that, Lehar is also a synthesizer, and above all a scientist. At QRI we very much value his contributions and, contra modern academia, take seriously the sort of epistemology he employed. Namely, investigating the phenomenal character of (exotic) experiences in order to probe the principles by which perception operates. More generally, the psychedelic archetypes we consider to be priceless for qualia research are those of the explorer, synthesizer, philosopher, scientist, and engineer. Let’s get more of those and less shamans, evangelists, prophets, etc.

Back to JBT, I would highly recommend his Coffee Trip Report video on the basis that… it is really funny. But perhaps most relevant for our purposes at the moment, he recorded a video while on 200μg + 36mg 2C-B (warning: for most people this would be a very strong combined dose) and at 45:40 he started talking about the nature of the tracer effects of this combo:

“These trails are no fucking joke you guys. Some of the coolest visuals I’ve ever had in my life. […] Can I see through my eyelids? I can see around me, what the fuck? Dude, that’s freaking me out. [Waves hand in front of face with eyes closed]. There it is again! Wow. How does that work? […] These visuals are awesome, you’ll have to take my word for it. […] Everything looks alive, you know? It is not so much morphy as with mushrooms, but everything is jumpy, it’s got an energy to it. It’s all pulsing at the same frequency. These trails are… they honestly last two or three seconds. It’s not even funny at this point. It’s ridiculous. I thought I knew trails… I thought I knew trails! I didn’t know fucking trails. I’m afraid to do this again. I was seeing through my eyelids earlier… I’ve gotta look back at that footage. I mean, I obviously wasn’t looking through my eyelids, I know that. But I thought I was, I thought I was, I was that convinced. It’s weird, you go in and out of confusion, and it coincides with the intensity of the hallucinations. It’s like the more confused I get, the more intense the visuals get. So just when things start going good I can’t articulate it. I’m very conscious and lucid during all of this experience, and I’ll be able to recall it all. […] These trails are so over the top. Every little movement stains the air forever. […] Really weird, really strong visuals. Everything looks alive. Which is really cool. I feel like my ceiling is wet. That popcorn ceiling looks wet. It has this weird gloss over it. It looks cool. What can I say, it looks awesome. I could sit here all night staring at my fucking ceiling.”

Given these comments about the trail effects he was experiencing I decided to reach out to him to congratulate him for the quality psychedelic content and also ask him if he would be kind enough to try to replicate the tracers he saw using the Tracer Tool. And he did! He can now share with us a qualia souvenir from his trip! Here is what the tracers looked like:

He left this comment on the submission: “Though it was 5 weeks later, I made a specific note of the tracers in a live trip report video, and committed it to memory at that point because they were so unusually vivid. I chose black because the trail was specifically dark black.” – Junk Bond Trader (see the parameters[3]).

Just a few days ago, JBT gave a shoutout to QRI, my channel, and the Tracer Tool in a video (between 2:35 and 5:20). Thank you JBT! I particularly liked that he remarks on the fact that we use Shia LaBeouf’s “Just Do It!” green screen as the default animation for our custom tracer editor.[4]

Just Do It! Make Your Dreams Come True! (Remix) – with JBT’s Qualia Souvenir Tracers

An important note is that in his shoutout JBT makes it sound like this is all just me, but in reality what is going on at QRI is a huge team effort. In the psychophysics front in particular I would like to mention that Lawrence Wu and Zuck are the main people pushing the envelope and I am immensely grateful for all the hard work they are doing for this project. This also wouldn’t be possible without the many discussions with people at QRI and the broader community of friends of the organization.

I believe that Adeptus Psychonautica, whom I also like and respect, will give the Tracer Tool a try and discuss it in his channel soon! He interviewed me over a year ago and I think that he is also very much of an explorer. A particularly nice thing about his channel is that he reviews psychedelic retreat and healing centers. This is unusual; most people find it psychologically difficult to say anything bad about the place or the people who facilitated an e.g. ayahuasca ceremony for them. The perceived sacredness of the ritual makes any review other than a glowing recommendation feel sacrilegious. Adeptus Psychonautica has been around the psychedelic retreat block enough that he can really map out all the ways in which specific psychedelic retreat centers fail to meet their full potential. This is highly appreciated. I personally would take my sweet time in selecting the right place to experience something as valenced as an ayahuasca trip, so his reviews add a lot of value on that front. Thank you Adeptus!

Akin to these two YouTubers, if you have the ability to promote the Tracer Tool to audiences that are likely to try it, please be our guest! We would love to get more data so we can share the results with the world.

From Psychedelic Renaissance to Psychedelic Enlightenment

One of the things that I love about the fact that JBT tried the tool and talked about it on his channel is that it shows that research feedback loops can be closed online and in places as distracted and unfocused as YouTube. It hints at a new possible model for decentralized scientific research of exotic states of consciousness. Even if small in percentage, a dedicated group of online rational psychonauts able and willing to try each other’s experiments and discuss them openly might very well accelerate our understanding of these states at a pace that is faster than academia or the R&D departments of relevant industries (such as pharma). How many potential Steven Lehars are out there just waiting for the right legal landscape to share their experiences and analyses with others alike? I am excited to see how the online rational psychonautic community evolves in the coming years. I anticipate substantial paradigmatic developments, and we hope that QRI contributes to this process. In the long term, it is still unclear where most of the discoveries in this field will take place. On one extreme a hyper-centralized Manhattan Project of Consciousness could leapfrog all current research, and on the other extreme we have anonymous and decentralized Psychedelic Turk scenarios where access to exotic states of mind (both from the inside and the outside) is a sort of utility at the mercy of market forces. In the middle, perhaps we have semi-decentralized conglomerates of researchers building on each other’s work. If so, I look forward to an emergent science-oriented psychedelic intelligentsia of excellent trip reporters on YouTube in the next few years.

What Data Are We Most Interested In?

The combinatorial space of possible drug cocktails is really large and poorly mapped out. Of particular note, however, is the exotic effects caused by mixing psychedelics and dissociatives. Given the reports that there is a profound synergy between psychedelics and dissociatives (and that this combination is not generally particularly unsafe), we expect there to be really interesting tracers to report and we have no submissions of the sort so far. In particular, we expect to find synergy (rather than orthogonality or suppression) between these classes of drugs, and we would love to quantify the extent of this synergy (anecdotally it is really strong). If you are the sort of person who does not get noticeable tracers on LSD, perhaps try adding a little ketamine and see if that helps. Chances are, you will be like JBT, saying something along the lines of “I thought I knew tracers… I didn’t know **** tracers!”.

It would also be really good to see tracer data for candy-flipping (and MDMA combinations more broadly). We suspect that MDMA will generally have interesting ADSR envelopes. So if you have candy-flipped in the past or you intend do to so in the future please consider donating a couple minutes of your time to submit a datapoint! Remember, you can share it with your friends as a qualia souvenir!

Finally, we would love to have more DMT and 5-MeO-DMT submissions. We are interested in checking if the differences we have found between them can be replicated. In particular, we are told that 5-MeO-DMT produces monochromatic tracers whereas DMT produces richly-colored tracers that flicker between positive and negative after-images. If this turns out to be true, it would be really significant from a scientific point of view:

Apropos Psychedelic YouTube

With over a quarter million views as of March of 2021, The Hyperbolic Geometry of DMT Experiences (@Harvard Science of Psychedelics Club) is perhaps the most viewed piece of QRI content. Thus, the comment section perhaps gives us a snapshot of how the existing (pre-Galilean!) memes surrounding the psychedelic community make sense of this work. Doing a cursory semantic clustering analysis, I would say that most of the comments tend to fit into one of the following groups:

  1. Comments from people who admit to having tried DMT tend to say that “this is the best description of DMT phenomenology I have ever seen”.
  2. Comments complaining about the poor audio quality.
  3. Comments saying I should go on Joe Rogan (e.g. “Very captivating and well formulated. We need to have jamie pull this up.” is the most upvoted comment, with 1.7K upvotes).
  4. Comments stating that the DMT entities are real and that I should take higher doses to confirm that.
  5. Comments complaining that “visuals are not what matters about the experience” and that I’m “missing the point” for paying attention to them.
  6. Weird miscellaneous comments like claiming that the video is a proof that there is a conspiracy from Harvard trying to convince the world that DMT is not a true spiritual molecule.
  7. Fun one-liners (my favorite is “Massachusetts Institute of Tryptamines”).

Let me briefly comment on each of these clusters:

For (1): I am always happy to hear from psychonauts that our work at QRI is clarifying and illuminating. I get a lot of emails and messages saying this, and it honestly makes me happy and keeps me motivated to go on. An example of this would be one of the most upvoted comments:

This video combined with the article probably explained more of the dmt trip than all the trip reports I’ve read which is a lot. The levels, with the doses! Now I know I landed squarely in the Magic Eye. The symmetry hotel is a great explanation too. I find it interesting that I had an experience of divine consciousness on level three rather than level six; perhaps it was just a foretaste? Truly informative, this is what psychonauts need to hear.


YouTube user johnnysandiegoable

For (2): Yes, we know, sorry! We did what we could to stitch together the audio from my phone and the audio from the camera (which was way in the back). The wireless mic we had planned to use malfunctioned at the last minute and I wasn’t very mindful about the fact that the phone would produce the best audio. I know I should have stayed closer to the podium for most of the talk. That said, if you hear the presentation with headphones and are willing to increase the volume for the quiet parts, you can still make out every word. So, admittedly, the comments are exaggerating a bit just how unlistenable it is. ^_^

For (3): Joe, if you are reading this, I’m game! Bring it on! I think that it is entirely possible that we will have a great conversation.

For (4): I have indeed said before that we think it is unlikely that one makes true contact with mind-independent entities while tripping on DMT. Of course we welcome evidence to the contrary, and we have even suggested novel methods by which this could be tested. But I do want to say that unlike other accounts of the DMT phenomenology, the way we argue for the likely internal (“fully in your head”) interpretation does not in any way dismiss the specific reasons why such experiences are so compelling. It is not only that the experience feels very real (indeed, what does that even mean?) but that it has a series of properties that makes the hallucinations stand out as uniquely believable relative to other psychedelics. In the Harvard presentation I mention the idea that the dimensionality of the experience is so high that in a way one does experience a sort of superintelligence while on DMT. In such states, we genuinely get to experience much more information at once and render intricate connections in ways that would make connoisseurs of complex thoughts extremely jealous. Alas, this has yet to be fine-tuned for any kind of useful computational purpose. Yet, in terms of raw information bandwidth, the state has tremendous potential. So we could say, that on DMT you do get to experience a sort of higher intelligence; it is just that it is a higher intelligence of your own making, and we lack an adequate narrative within sober states of mind to make sense of what this experience means. Hence we tend to converge on easy-to-explain and relatable metaphors. Saying that one met with an advanced alien intelligence is somehow easier to convey than describing in detail the sequence of point-of-view fragmentation operations that bootstrapped the multi-perspectival state of mind you experienced. More so, in a recent video, I explained that DMT has some additional properties that make the hallucinations it induces extremely believable. Of particular note I point out that on DMT one experiences:

  • Multi-modal coherence where touch, sight, and sound hallucinations are synchronized,
  • An extremely high temperature parameter leading to the melting of the phenomenal self, and
  • Tactile hallucinations, which add a layer of “reality” to the experience.

These and other features are the reason why DMT experiences feel so “real” and hard to dismiss as mere hallucinations. Rational psychonauts are advised to pay close attention to this in order to avoid developing delusions with repeated administrations.

For (5): Look, we understand. It is obviously the case that the visual effects are a tiny component of the experience, but consider just how difficult it is going to be to describe every single aspect of the experience. I am sure you have heard the expression “learn to walk before you learn to run” (or in this case, learn to walk before you learn to fly, or perhaps more appropriately, to learn to walk before you learn how to operate an alien spaceship with sixteen thousand levers interlinked in unknown ways). In brief, the path that will take us to the point where we can fully characterize a DMT trip will start with developing an extremely crisp and precise vocabulary and research methodology to describe the simplest low-level effects. It is surprising how much we can in fact say about a DMT trip by allusions to attractors in feedback systems and hyperbolic symmetry groups even if this turns out to only get at a small fraction of what makes such experiences interesting. We have to start with the basics; that is what we are doing here.

For (6): This is at least somewhat expected. Recall that DMT tends to make you overfit data. Conspiratorial thinking is a classic form of overfitting. Without a rational framework and grounding exercises, DMT users will generally develop increasingly overfit models of reality.

For (7): Well, keep them coming!

Future Developments

I want to conclude by mentioning that we have ambitious plans for QRI’s Psychophysics Toolkit (of which the Tracer Tool is but the first of many tools to come). We are in the process of developing many more experimental tools and paradigms specifically designed to rigorously quantify and characterize the information-processing features of exotic states of mind. Fancifully, imagine an “experience editor” where you can recreate arbitrary experiences from first principles. To name one possibility here, consider Distill’s Self-Organizing Textures: visual textures are hard to put into words, but easy to tell apart. Hence, odd-one-out paradigms in conjunction with generative methods (i.e. texture synthesis) can allow us to pin-point exactly how psychedelics affect our perception of mongrels. In the long run, we want to characterize the circuit motifs emergent out of the neural architecture of the human brain, and we expect this work to be extremely useful for that pursuit. Stay tuned!


[1] From their website: The Intercollegiate Psychedelics Network (IPN) is a youth-led garden organization dedicated to the development of students into the next generation of diverse and interdisciplinary leaders in the field of psychedelics. We envision a future where safe, legal, and equitable access to psychedelic healing creates a more just, peaceful and connected world. [e.g. see PennPsychedelics].

[2] From their website: PsychedelX is a student talk program featuring 20 minute talks from students around the globe with novel, impactful, and interdisciplinary ideas that will shake up the psychedelic discourse. From February 22nd – 27th [2021], watch their presentations on YouTube to expand your understanding of psychedelics and their role in our world today.

[3] If you want to see Junk Bond Trader’s tracer go to the Tracer Tool, click “Import Paramters”, and then paste: {“animation”:”unlitBallGravity”,”speed”:”1.65″,”trailOn”:true,”trailIntensity”:”70″,”trailTimeFactor”:”78″,”trailExponential”:true,”strobeOn”:true,”strobeFrequency”:”14.7″,”strobeIntensity”:”83″,”strobeTimeFactor”:”76″,”strobeExponential”:true,”strobeAdsr”:false,”replayOn”:false,”replayFrequency”:”11″,”replayIntensity”:”68″,”replayTimeFactor”:”75″,”replayExponential”:true,”replayAdsr”:false,”pulseOn”:false,”pulseFrequency”:”1.6″,”pulseAmplitude”:”50″,”pulseColor”:false,”pulseColorAmplitude”:”100″,”maxTracers”:”154″,”color”:”#000000″}

[4] Thanks to Lawrence Wu for that.