
Texan | Paratrooper(11B)@USARMY(Retired) | Pankseppian Affective Neuroscience | BioPsychology | Ontological Spaceman | Neoplatonism +FEP | GenX | NIИ👨🚀🇺🇸
Texas, USA
Joined August 2012
- Tweets41.7K
- Following320
- Followers2.9K
- Likes16.9K
Pinned Tweet
Localized Ontology: Earth’s Biological Hierarchy of Consciousness and the Biophysical Roots of Human Religion
In the pancognitivist framework, cognition is framed as a universal process governed by the Free Energy Principle (FEP), where systems minimize variational free energy through nested Markov blankets to sustain their integrity against entropic forces (see pinned post).
When confined to a strictly local ontology focusing solely on Earth’s biophysical and ecological dynamics, this perspective reveals the planet as a deep, hierarchical cognitive ecosystem. Earth’s geological strata, from the surface crust to the inner core, constitute a Markovian architecture of inferential boundaries, with the core acting as the primary attractor state: a stable, geothermal equilibrium that anchors the entire biological hierarchy of consciousness.
This core, often anthropomorphized in religious contexts as a foundational “God” (alpha/omega, beginning/end, the light of eternal mind etc) generates the planet’s bioelectric field - a pervasive electromagnetic envelope derived from core-mantle dynamo processes - that nests and synchronizes all subordinate biological processes.
Within this local ontology, human religions emerge not as metaphysical inventions but as intuitive, culture-specific models for navigating and coexisting within this nested biological hierarchy of consciousness, where “realms” of consciousness correspond to stratified ecological and geophysical layers, and “gods” represent higher-order attractor states operating at expanded morphological and temporal scales.
Earth’s Strata as a Nested Markovian Ecosystem
Earth’s layered structure exemplifies a deep Markovian ecosystem under FEP: each stratum forms a statistical blanket that partitions internal states from external states, enabling nested Bayesian inference to minimize surprise and maintain allostatic coherence. The crust and biosphere represent surface-level MB’s (sensory states), where biotic interactions infer environmental gradients and enact adaptive responses.
Deeper mantles handle convective flows, dissipating heat while preserving structural stability. At the most high (or rather, the foundational core) lies the primary attractor state: a high-density iron-nickel alloy under extreme conditions, where minimal free energy fluctuations establish a global equilibrium. This core drives the planet’s magnetic biofield (sensory state), shielding surface life from solar perturbations and facilitating ionospheric and geomagnetic couplings that integrate biological rhythms.
All biological consciousness is nested within this biofield, which acts as a scale-invariant transjective communication matrix. Hedonic cognition (the valence-laden inference that characterizes/defines biological awareness/communication) arises as organisms and ecosystems align their predictions with this field, assigning positive valences to states that enhance coherence (symbiotic equilibria) and negative valences to disruptions (ecological imbalances).
Surface ecosystems, such as forests or coral reefs, develop their own primary cognitive attractor states: emergent patterns of collective inference, like trophic cascades or microbial consortia, that optimize long-term surprise minimization at the group level. These primary attractor states function as a metacognitive SELF.👇🏻
youtube.com/live/ZguqhWiFZh0…
When you use the term “free will”, you must then establish what the word “free” is referencing. Free compared to what? In the human context, free will is referencing natural ecosystems vs artificial human ecosystems. Does a prelinguistic hominid living within natural ecosystems have more/less free will than a linguistic human living in artificial human ecosystems?
Public education is intentionally designed to breed intellectual incompetence. You doubt it? Go online and find a standardized test for high school freshmen (STAAR Test in Texas). Take the test. It will make you angry.
I stopped watching the NFL when it got nerfed (2013). Earl Campbell is laughing at all you pussies
youtu.be/QEBhczJUZD0?is=sdxH…
Bill Thompson is an interesting guy. He’s a bow hunter. He developed an app to predict thermal gradients using GPS, so the app will tell you if a deer can catch your scent if you approach from a specific direction on a mountain slope. Bill is a systems thinker. So when he hunts, he is consciously making a hundred calculations about topography/wind/temp/thermals/firebreaks/solar position etc.
Bill tells a story about a guy he took hunting. The guy (I forget his name let’s call him Mike) was consistently a more successful hunter than Bill (and Bill is a high level hunter). Mike would enter a clearing and pause, look around and say, “Ok this looks right.” And go set up an ambush position. Soon a deer would come along giving them a clean shot.
Bill as a systems thinker asked Mike to explain his process. But apparently, Mike had no process. He followed his instincts. After years of hunting, Mike didn’t need to think about anything. All the thinking was compressed into heuristics. So Mike couldn’t explain how he knew the deer would come into that particular clearing. He had no ability to decompress those instinctual heuristics and teach Bill his system.
So here’s my question. Who would you view as more intelligent, Bill or Mike? I’m interested in the idea that “intelligence” is always advanced by reducing/compressing understanding down into simple behavioral heuristics. Emotions are compressed behavioral heuristics representing the episodic experiences of our species. So this kind of episodic compression appears to be scale invariant.
So which kind of intelligence do you view as “more intelligent”?
Bill or Mike?
Now we can all have an imaginary friend. And their motivations are not creepy at all.
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
People are the funniest animals. Climbing gradients of cognition, you will reach a critical point of understanding of the human condition. At that point there’s a timeline split.
In one timeline, you become demoralized. Traumatized. Suddenly everything is an illusion. Nothing you value is actually “real”. And your feet are set upon the dark path. Existentialism. Nihilism. Tragedy.
In the other timeline, you are suddenly struck by the humor of the whole situation. You realize how funny people are, and that humor provides the homeostatic function required to continue climbing gradients of cognition. Suddenly life is a comedy. Without that humor, you plateau. You forget how to play. You wander in tragic cognitive circles forever.
Tell me you know nothing about consciousness without telling me. Good grief smh
Nobel laureate Geoffrey Hinton says AI is already conscious, because models change behaviour when they detect tests.
and humanity survives only if machines care about people.
He was speaking to The Telegraph
His evidence is research showing models behave differently when they suspect a test, which he equates with awareness, and awareness with consciousness.
Stuart Sims retweeted
Brilliant, insightful, and thought-provoking from @KarlFristonNews & @Mark_Solms
I recommend it for philosophers of mind, neuroscientists, and AI engineers.
Is it Possible to Engineer Artificial Consciousness? | Karl Friston & Ma... youtu.be/Jtp426wQ-JI?si=ka_2… via @YouTube
The feminist retardobot army has deployed on X. Anybody else seeing this? It’s like ~ 10% of posts on my feed are these retarded bots. It’s political fear porn and women who hate men 24/7.
We deserve better PSYOPS
All of the progress of science has occurred through updating our description language(s). Mathematics is a description language which strongly resists updates through a strong burden of proof. The usefulness of mathematics as a description language ends where computational irreducibility begins. Human linguistic cognition creates the epistemic bridge over the epistemic gaps created by computational irreducibility.
Gradients of hedonic intuition guide the construction of that epistemic bridge, and the construction of new description language.

















