7 Recent Videos: Rational Analysis of 5-MeO-DMT, Utility Monsters, Neroli, Phenomenal Time, Benzo Withdrawal, Scale-Specific Network Geometry, and Why DMT Feels So Real

5-MeO-DMT: A Rational Analysis at Last (link)

Topics covered: Non-Duality, Symmetry, Valence, Neural Annealing, and Topological Segmentation.

See also:


Befriending Utility Monsters: Being the Adult in the Room When Talking About the Hedonic Extremes (link)

In this episode I connect a broad variety of topics with the following common thread: “What does it mean to be the adult in the room when dealing with extremely valenced states of consciousness?” Essentially, a talk on Utility Monsters.

Concretely, what does it mean to be responsible and sensible when confronted with the fact that pain and pleasure follow a long tail distribution? When discussing ultra-painful or ultra-blissful experiences one needs to take off the glasses we use to reason about “room temperature consciousness” and put on glasses that actually take these states with the seriousness they deserve.

Topics discussed include: The partial 5HT3 antagonism of ginger juice, kidney stones from vitamin C supplementation, 2C-E nausea, phenibut withdrawal, akathisia as a remarkably common side effect of psychiatric medication (neuroleptics, benzos, and SSRIs), negative 5-MeO-DMT trips, the book “LSD and the Mind of the Universe”, turbulence and laminar flow in the “energy body”, being a “mom” at a festival, and more.

Further readings on these topics:


Mapping State-Spaces of Consciousness: The Neroli Neighborhood (link)

What would it be like to have a scent-based medium of thought, with grammar, generative syntax, clauses, subordinate clauses, field geometry, and intentionality? How do we go about exploring the full state-space of scents (or any other qualia variety)?

Topics Covered in this Video: The State-space of Consciousness, Mapping State-Spaces, David Pearce at Oxford, Qualia Enrichment Kits, Character Impact vs. Flavors, Linalool Variants, Clusters of Neroli Scents, Neroli in Perfumes, Neroli vs. Orange Blossom vs. Petigrain vs. Orange/Mandarin/Lemon/Lime, High-Entropy Alloys of Scent, Musks as Reverb and Brown Noise, “Neroli Reconstructions” (synthetic), Semi-synthetic Mixtures, Winner-Takes-All Dynamics in Qualia Spaces, Multi-Phasic Scents, and Non-Euclidean State-Spaces.

Neroli Reconstruction Example:

4 – Linalool
3 – Linalyl Acetate
3 – Valencene
3 – Beta Pinene
2 – Nerolione
2 – Nerolidol
2 – Geraniol Coeur
2 – Hedione
2 – Farnesene
1 – D-Limonene
1 – Nerol
1 – Ambercore
1 – Linalool Oxyde
70 – Ethanol

Further readings:


What is Time? Explaining Time-Loops, Moments of Eternity, Time Branching, Time Reversal, and More… (link)

What is (phenomenal) time?

The feeling of time passing is not the same as physical time.

Albert Einstein discovered that “Newtonian time” was a special case of physical time, since gravity, relativity, and the constancy of the speed of light entails that space, time, mass, and gravity are intimately connected. He, in a sense, discovered a generalization of our common-sense notion of physical time; a generalization which accounts for the effects of moving and accelerating frames of reference on the relative passage of time between observers. Physical time, it turns out, could manifest in many more (exotic) ways than was previously thought.

Likewise, we find that our everyday phenomenal time (i.e. the feeling of time passing) is a special case of a far more general set of possible time-like qualities of experience. In particular, in this video I discuss “exotic phenomenal time” experiences, which include oddities such as time-loops, moments of eternity, time branching, and time reversal. I then go on to explain these exotic phenomenal time experiences with a model we call the “pseudo-time arrow”, which involves implicit causality in the network of sensations we experience on each “moment of experience”. Thus we realize that phenomenal time is an incredibly general property! It turns out that we haven’t even scratched the surface of what’s possible here… it’s about time we do so.

Further readings on this topic:


Benzos: Why the Withdrawal is Worse than the High is Good (+ Flumazenil/NAD+ Anti-Tolerance Action) (link)

Most people have low-resolution models of how drug tolerance works. Folk theories that “what goes up must come down” and theories in the medical establishment about how you can “stabilize a patient on a dose” and expect optimal effects long term get in the way of actually looking at how tolerance works.

In this video I explain why benzo withdrawal is far worse than the high they give you is good.

Core arguments presented:

  1. Benzos can treat anxiety, insomnia, palpitations, seizures, hallucinations, etc. If you use them to treat one of these symptoms, the rebound will nonetheless involve all of them.
  2. Kindling – How long-term use leads to neural annealing of the “withdrawal neural patterns”.
  3. Amnesia effects prevent you from remembering the good parts/only remembering the bad parts.
  4. Neurotoxicity from long-term benzo use makes it harder for your brain to heal.
  5. Arousal as a multiplier of consciousness: on benzos the “high” is low arousal and the withdrawal is high arousal (compared to stimulants where you at least will “sleep through the withdrawal”).
  6. Tolerance still builds up even when you don’t have a “psychoactive dose” in your body – meaning that the extremely long half-life of clonazepam and diazepam and their metabolites (50h+) entails that you still develop long-term tolerance even with weekly or biweekly use!

I then go into how the (empirically false) common-sense view of drug tolerance is delaying promising research avenues, such as “anti-tolerance drugs” (see links below). In particular, NAD+ IV and Flumazenil seem to have large effect sizes for treating benzo withdrawals. I AM NOT CONFIDENT THAT THEY WORK, but I think it is silly to not look into them with our best science at this point. Clinical trials for NAD+ IV therapy for drug withdrawal are underway, and the research to date on flumazenil seems extremely promising. Please let me know if you have any experience using either of these two tools and whether you had success with them or not.

Note: These treatments may also generalize to other GABAergic drugs like gabapentin, alcohol, and phenibut (which also have horrible withdrawals, but are far shorter than benzo withdrawal).

Further readings:

Epileptic patients who have become tolerant to the anti-seizure effects of the benzodiazepine clonazepam became seizure-free for several days after treatment with 1.5 mg of flumazenil.[14] Similarly, patients who were dependent on high doses of benzodiazepines […] were able to be stabilised on a low dose of clonazepam after 7–8 days of treatment with flumazenil.[15]”

Flumazenil has been tested against placebo in benzo-dependent subjects. Results showed that typical benzodiazepine withdrawal effects were reversed with few to no symptoms.[16] Flumazenil was also shown to produce significantly fewer withdrawal symptoms than saline in a randomized, placebo-controlled study with benzodiazepine-dependent subjects. Additionally, relapse rates were much lower during subsequent follow-up.[17]

Source: Flumazenil: Treatment for benzodiazepine dependence & tolerance

Scale-Specific Network Geometry (link)

Is it possible for the “natural growth” of a pandemic to be slower than exponential no matter where it starts? What are ways in which we can leverage the graphical properties of the “contact network” of humanity in order to control contagious diseases? In this video I offer a novel way of analyzing and designing networks that may allow us to easily prevent the exponential growth of future pandemics.

Topics covered: The difference between the aesthetic of pure math vs. applied statistics when it comes to making sense of graphs. Applications of graph analysis. Identifying people with a high centrality in social networks. Klout scores. Graphlets. Kinds of graphs: geometric, small world, scale-free, empirical (galactic core + “whiskers”). Pandemics being difficult to control due to exponential growth. Using a sort of “pandemic Klout score” to prioritize who to quarantine, who to vaccinate first. The network properties that made the plague spread so slowly in the Middle Ages. Toroidal planets as having linear pandemic growth after a certain threshold number of infections. Non-integer graph dimensionality. Dimensional chokes. And… kitchen sponges.

Readings either referenced in the video or useful to learn more about this topic:

Leskovec’s paper (the last link above):

Main Empirical Findings: Our results suggest a rather detailed and somewhat counterintuitive picture of the community structure in large networks. Several qualitative properties of community structure are nearly universal:

• Up to a size scale, which empirically is roughly 100 nodes, there not only exist well-separated communities, but also the slope of the network community profile plot is generally sloping downward. (See Fig. 1(a).) This latter point suggests, and empirically we often observe, that smaller communities can be combined into meaningful larger communities.

• At size scale of 100 nodes, we often observe the global minimum of the network community profile plot. (Although these are the “best” communities in the entire graph, they are usually connected to the remainder of the network by just a single edge.)

• Above the size scale of roughly 100 nodes, the network community profile plot gradually increases, and thus there is a nearly inverse relationship between community size and community quality. This upward slope suggests, and empirically we often observe, that as a function of increasing size, the best possible communities as they grow become more and more “blended into” the remainder of the network.

We have also examined in detail the structure of our social and information networks. We have observed that an ‘jellyfish’ or ‘octopus’ model [33, 7] provides a rough first approximation to structure of many of the networks we have examined.

Ps. Forgot to explain the sponge’s relevance: the scale-specific network geometry of a sponge is roughly hyperbolic at a small scale. Then the material is cubic at medium scale. And at the scale where you look at it as flat (being a sheet with finite thickness) it is two dimensional.


Why Does DMT Feel So Real? Multi-modal Coherence, High Temperature Parameter, Tactile Hallucinations (link)

Why does DMT feel so “real”? Why does it feel like you experience genuine mind-independent realities on DMT?

In this video I explain that we all implicitly rely on a model of which signals are trustworthy and which ones are not. In particular, in order to avoid losing one’s mind during an intense exotic experience (such as those catalyzed by psychedelics, dissociatives, or meditation) one needs to (a) know that you are altered, (b) have a good model of what that alteration entails, and (c) that the alteration is not strong enough that it breaks down either (a) or (b). So drugs that make you forget you are under the influence, or that you don’t know how to model (or have a mistaken model of) can deeply disrupt your “web of trusted beliefs”.

I argue that one cannot really import the models that one learned from other psychedelics about “what psychedelics do” to DMT; DMT alters you in a far broader way. For example, most people on LSD may mistrust what they see, but they will not mistrust what they touch (touch stays a “trusted signal” on LSD). But on DMT you can experience tactile hallucinations that are coherent with one’s visions! “Crossing the veil” on DMT is not a visual experience: it’s a multi-modal experience, like entering a cave hiding behind a waterfall.

Some of the signals that DMT messes with that often convince people that what they experienced was mind-independent include:

  1. Hyperbolic geometry and mathematical complexity; experiencing “impossible objects”.
  2. Incredibly high-resolution multi-modal integration: hallucinations are “coherent” across senses.
  3. Philosophical qualia enhancement: it alters not only your senses and emotions, but also “the way you organize models of reality”.
  4. More “energized” experiences feel inherently more real, and DMT can increase the energy parameter to an extreme degree.
  5. Highly valenced experiences also feel more real – the bliss and the horror are interpreted as “belonging to the vibe of a reality” rather than being just a property of your experience.
  6. DMT can give you powerful hallucinations in every modality: not only visual hallucinations, but also tactile, auditory, scent, taste, and proprioception.
  7. Novel and exotic feelings of “electromagnetism”.
  8. Sense of “wisdom”.
  9. Knowledge of your feelings: the entities know more about you than you yourself know about yourself.

With all of these signals being liable to chaotic alterations on DMT it makes sense that even very bright and rational people may experience a “shift” in their beliefs about reality. The trusted signals will have altered their consilience point. And since each point of consilience between trusted signals entails a worldview, people who believe in the independent reality of the realms disclosed by DMT share trust in some signals most people don’t even know exist. We can expect some pushback for this analysis by people who trust any of the signals altered by DMT listed above. Which is fine! But… if we want to create a rational Super-Shulgin Academy to really make some serious progress in mapping-out the state-space of consciousness, we will need to prevent epistemological mishaps. I.e. We have to model insanity so that we ourselves can stay sane.

[Skip to 4:20 if you don’t care about the scent of rose – the Qualia of the Day today]

Further readings:

“The most common descriptive labels for the entity were being, guide, spirit, alien, and helper. […] Most respondents endorsed that the entity had the attributes of being conscious, intelligent, and benevolent, existed in some real but different dimension of reality, and continued to exist after the encounter.”

Source: Survey of entity encounter experiences occasioned by inhaled N,N-dimethyltryptamine: Phenomenology, interpretation, and enduring effects

That’s it for now!

Please feel free to suggest topics for future videos!

Infinite bliss!

– Andrés

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