Christopher P Wendling

@s_r_constantin The answer to the question is there is no answer yet. We can’t assert either way and be truly honest. But I lean towards you don’t need a wet computer to have “ consciousness.” It should be substrate independent- like everything else we’ve computed.

My problem with "machines can never be conscious, only living things can be" is kinda hard to explain, so I want to try to articulate it and see if somebody can poke holes in it.

@Mcdonald77M @bloggerwog @BigBrainPhiloso Wisdom and IQ are different.

@Christopher314A @bloggerwog @BigBrainPhiloso Ask AI: "who is the wisest man alive right now... and the wisest man that has ever been." It was saying: "That is subjective...but this guy has the highest IQ!

Adrian Moore on Kant's "Epistemic Spectacles" Kant agreed with the empiricists that all knowledge must relate to experience but he didn't think knowledge was simply read off from experience. Moore explains: "When we derived knowledge of the world through the deliverances of experience, it was because we ourselves were appropriately receptive to what was out there. And being appropriately receptive meant having certain faculties in terms of which we interpreted what was out there." In other words, the mind isn't a blank slate passively receiving the world. It actively shapes what we perceive. "It's as if we were operating with a pair of spectacles, epistemological spectacles through which we interpret what the world throws at us." We don't see raw reality. We see reality filtered through the structures our minds bring to it categories, forms of intuition, frameworks of understanding that we can't simply take off. This is Kant's great reversal of the philosophical tradition before him. Rather than asking "does the mind conform to the world?", Kant asked: "does the world conform to the mind?" The answer, for Kant, was yes because experience itself is only possible through the lenses we already wear. What does this mean practically? It means that whenever you think you're simply "observing" something neutrally, you're already interpreting it. Your frameworks, assumptions, and prior categories are always already in play.

@Mcdonald77M @bloggerwog @BigBrainPhiloso Sure “hallucinations” have meaning. What they might mean is something else. I’m working to solve serious problems that can’t tolerate hallucinations- in domains like medicine, finance and law - to name a few.

@Christopher314A @bloggerwog @BigBrainPhiloso Hallucinations have meaning, and come from the knowledge in the soul, distorted: Farabi: Happiness is possible when the active intellect first sees the first intelligibles. Farabi: The mad see these, but distorted- as in a shattered glass.

Good question. At a basic level, this is solving a very specific problem: How do you implement the scientific method on a machine? Most current AI systems don’t. They generate answers whether or not those answers are justified. That’s why we see: • hallucinations • no ability to abstain • failure under changing conditions • assertions not tied to out-of-sample survival GIE flips that. It doesn’t optimize for answers. It optimizes for where answers are allowed. → No evidence → no assertion → Broken structure → assertion withdrawn → Persistent structure → assertion licensed It’s the scientific method—made continuous and executable. ⸻ And to your broader point— The reason I engage in these philosophical discussions is because there is real overlap. Philosophy has been circling these ideas for a long time: criticism, falsifiability, competing explanations, etc. But it’s still missing something critical: It doesn’t yet have all the pieces required to make this operational. What GIE adds are the missing pillars: • Abstention as a first-class outcome (not forced conclusions) • Continuous out-of-sample survival (not one-time falsification) • Assertion and retraction as structural processes (not human judgment calls) • Evidence as the only license for belief (not argument strength) • Explicit boundaries where nothing can be said That’s the difference. Philosophy asks: what is a good explanation? GIE answers: when is any explanation allowed to exist at all? ⸻ Why that matters is practical, not philosophical: Medical, legal, financial, and logistics systems are already failing from ungrounded assertions. This is an attempt to remove that failure mode entirely. ⸻ Short version: Philosophy closely describes the scientific method. GIE operationalizes and executes it. itrac.com/GIE_Survival_G…

@bloggerwog @Christopher314A @BigBrainPhiloso What is the problem these are solving?

You’re still grounding truth in the observer. That’s the disconnect. Kant, Gödel, Peirce—all correctly show there’s no a priori path to truth. Agreed. But the conclusion isn’t “we need observers to validate.” It’s that truth must be discovered through interaction with reality. GIE makes one move beyond that: Validation does not require a mind. It requires exposure. A structure is not true because: a human observes it a system asserts it or a process names it It’s true if—and only if—it continues to survive independent exposure. No observer needed. ⸻ Where your model breaks: “AI is mere assertion and needs human correction” That’s true for current systems. It is not true for a system that: can abstain when evidence is insufficient can be tested continuously out-of-sample can revoke its own assertions when they fail At that point, correction is no longer social—it’s environmental. ⸻ Five pillars (the missing piece): Evidence licenses assertion (not observers) Abstention is a valid state (no forced answers) Out-of-sample exposure is continuous Failed structure is revoked automatically Only invariant structure survives—not narratives ⸻ Animals don’t “validate truth” either. They persist or fail under environmental pressure. That’s the same mechanism—just made explicit. So the real divide isn’t: human vs machine It’s: assertion-based systems vs survival-based systems And only one of those is anchored to reality. itrac.com/GIE/SurvivalGu…

@Christopher314A @Mcdonald77M @BigBrainPhiloso 2/2 Kant demonstrated why there is no a priori solution available to humans. Gödel demonstrated why there is no a priori solution to formal science or machines. Peirce split the difference.

This is very close to something important. You’re describing explanation as what survives current criticism. That’s essentially Popper/Deutsch—progress by elimination. GIE extends this in two critical ways: 1) Not all states resolve to an explanation Sometimes, after criticism, what remains is not “the best explanation” but no admissible explanation at all. That’s not failure—that’s the correct state: abstention. 2) Survival is not static An explanation doesn’t become “best” and stay there. It must continue to survive new, independent exposure. If it fails later, it is revoked, not defended. That leads to a slightly different framing: An explanation is not “best” because rivals are gone. It is provisionally admissible because it has survived all exposure so far. And that state can change. ⸻ The full picture (what GIE makes explicit): 1. Evidence-licensed assertion Explanations are only allowed where sufficient exposure supports them. 2. Abstention as a valid outcome If no explanation survives criticism → no assertion is made. 3. Continuous out-of-sample testing Survival isn’t judged once—it’s ongoing. 4. Revocation on failure Explanations don’t degrade—they are removed when they stop working. 5. Structure over narrative What survives isn’t the story—it’s the invariant structure across exposures. ⸻ So yes—“the best explanation” is the one that survives criticism. But the deeper extension is: * Sometimes nothing survives → don’t assert * Sometimes something survives temporarily → assert, but conditionally * If it stops surviving → withdraw it That turns explanation from a philosophical status into a continuous, reality-audited process. GIE encodes that process on the computer: itrac.com/key/

On Finding the Best Explanation What makes an explanation good is that it meets all the criticisms that we have at the moment. If you have that, then you've got the best explanation. That implies that it doesn't have any rivals by then. Because if it had any rivals that had anything going for them, then the existence of two different explanations for the same thing means that neither of them is the best explanation. You only have the best explanation when you've found reasons to reject the rivals. Of course, not all possible rivals, because those include the one that's going to supersede the current best explanation. ~Conjecture Institute Advisor @DavidDeutschOxf with Founding Donor @naval

You’re assuming “survival” needs human social verification to be valid. It doesn’t. In GIE, survival is not consensus, naming, or authority—it’s continued correctness under independent exposure. That’s the key distinction: Nominalism = things are true because we name or agree on them GIE survival = things are retained only if they continue to work when reality pushes back No amount of “nominal assertion” can make a structure survive out-of-sample exposure. Reality doesn’t negotiate. If an AI system can be manipulated by naming or assertion, then it’s not using survival—it’s interpolating or deferring to authority. That’s exactly the failure mode GIE avoids. On the Cartesian point—Descartes was trying to ground knowledge in certainty of perception (“I think, therefore I am”). GIE moves in the opposite direction: It removes the need for a privileged observer entirely. Structure is not validated by: who asserts it what it’s called or whether people agree It’s validated by one thing only: Does it persist under repeated, independent exposure to reality? That’s not philosophy—it’s a filter. And it’s immune to nominal manipulation by design.

@Christopher314A @Mcdonald77M @BigBrainPhiloso If your "survival" clause is implemented by AI and not by human social verification, it risks being manipulated by Nominalistic assertion. This is why the Cartesian Color problem was addressed in the paper by him, to open the way to scientific inquiry.

Peirce is closer than most. His Firstness, Secondness, Thirdness map roughly to: possibility (hypothesis), brute interaction (exposure), and mediation (stable structure). Where we differ is important: Peirce derives categories from what thought requires. GIE derives structure from what survives reality. In Peirce, the categories are assumed. In GIE, structure must earn the right to exist through repeated exposure—and can lose that right. Also, Peirce has no abstention state. GIE’s core rule is: no assertion without evidence. So I’d say Peirce is philosophically aligned, but GIE turns that into an executable system governed by survival rather than assumption.

@Mcdonald77M @Christopher314A @BigBrainPhiloso Do you have access to C.S. Peirce's "On a New List of Categories"? If so, the argument comes from section five of that paper.

I appreciate how far you’ve taken this—seriously. You’ve moved from rejection to asking what’s literal vs symbolic, and that’s a real step. Where we diverge is more fundamental. You’re allowing scripture to act as an authority, and then interpreting reality through it—deciding what’s literal and what’s symbolic. I go the other direction. I don’t grant authority to any source upfront—scripture, philosophy, or model. I only allow structure that survives repeated exposure to reality to be asserted. If something: • holds under new data • remains stable under transformation (different perspectives, representations) • and doesn’t collapse under perturbation —then I treat it as real structure. If it doesn’t meet that bar, I don’t say it’s false. I simply don’t assert it. So for something like Genesis: I’m not asking “what parts are literal vs symbolic?” I’m asking: what structure, if any, survives independent exposure? If none can be demonstrated, then the correct state isn’t belief or disbelief— it’s abstention. That’s the key difference: You’re reconciling sources. I’m filtering assertions through survival. Both are coherent paths—but they lead to very different systems of truth. I’ve enjoyed the exchange. You’ve pushed the discussion further than most.

I appreciate how far you’ve taken this—seriously. You’ve moved from rejection to asking what’s literal vs symbolic, and that’s a real step. Where we diverge is more fundamental. You’re allowing scripture to act as an authority, and then interpreting reality through it—deciding what’s literal and what’s symbolic. I go the other direction. I don’t grant authority to any source upfront—scripture, philosophy, or model. I only allow structure that survives repeated exposure to reality to be asserted. If something: • holds under new data • remains stable under transformation (different perspectives, representations) • and doesn’t collapse under perturbation —then I treat it as real structure. If it doesn’t meet that bar, I don’t say it’s false. I simply don’t assert it. So for something like Genesis: I’m not asking “what parts are literal vs symbolic?” I’m asking: what structure, if any, survives independent exposure? If none can be demonstrated, then the correct state isn’t belief or disbelief— it’s abstention. That’s the key difference: You’re reconciling sources. I’m filtering assertions through survival. Both are coherent paths—but they lead to very different systems of truth. I’ve enjoyed the exchange. You’ve pushed the discussion further than most.

@Christopher314A @bloggerwog @BigBrainPhiloso I don't do the watchmaker argument because our Creator God is an image to begin. Scripture says He formed man from the dust of the earth, entirely consistent with what we learn from Darwin and Empedocles. What is literal and what symbolic is the Q reading Genesis.

“What people call ‘God’ can be thought of as something that comes from how humans think and influence each other. It can affect real actions because people believe in it, but it doesn’t act on its own like a person or force. If we can’t test something, then we can’t really know if it’s true or false. Without tests, almost anything could be claimed—like saying God acts in the world, or that there’s blue cheese on Jupiter. Since we can’t check either one, we shouldn’t treat them as facts.” :“But you can’t measure God directly!” Neither can you measure magnetism directly. The question was never about direct observation. It was always about whether effects converge. Most epistemological treatments of theological claims argue about evidence for a single coherent referent. But the referent itself is multiply-defined, and those definitions aren’t just different labels for the same thing — they map to genuinely different coordinates. You can’t accumulate density across incompatible coordinate systems. So what looks like a theological dispute is actually a coordinate registration failure before you even get to evidence evaluation.

I used to think Christians were naive. I thought faith in God was just an emotional crutch for people who could not handle reality. Now I think the opposite. The more seriously I looked at life, history, suffering, conscience, beauty, evil, and the limits of human reason, the less convincing atheism became. Because everyone has faith. Everyone. The only real question is where that faith is placed. In God, or in man. I was taught that intelligence means distance from God. But what is so intelligent about believing that matter somehow produced mind, that chaos somehow produced order, that chemistry somehow produced conscience, and that human beings can ground morality by themselves while constantly contradicting even their own standards? If we are only matter, then human dignity is just a useful story. Love is chemistry. Evil is preference. Sacrifice is irrational. Meaning is self invented. But almost no one actually lives that way. We all live as if truth matters, as if cruelty is really wrong, as if beauty means something, as if love is more than a chemical reaction, and as if justice should exist even when it costs us. That is not nothing. That points beyond survival. The Bible understood this long before modern people started pretending they had outgrown it. Genesis grounds human dignity in the image of God. That means people are not valuable because they are productive, attractive, healthy, or useful. They are valuable because they bear His image. John 1 does not begin with chaos. It begins with the Logos. Reason, order, meaning. Reality is not random noise. It is intelligible because it comes from a mind greater than ours. Ecclesiastes says that pleasure, work, success, and achievement collapse into vanity when cut off from God. Anyone who has chased status, money, sex, or recognition long enough knows how true that is. Romans 1 says creation points beyond itself. And it does. The order of the world, the mathematical beauty of reality, the existence of consciousness, the hunger for meaning, the presence of moral knowledge, these are not small things. And history teaches the same lesson. The bloodiest experiments of the last century did not come from too much faith in God. They came from man trying to replace God with ideology, state, race, class, or power. When God is removed, something else always takes His place. Usually something crueler. Christianity also does not begin with a vague spiritual feeling. It makes a historical claim. That Christ entered history, was crucified, and rose again. You can reject that claim, but it is not the same as saying faith is just blind comfort. Christianity stands or falls on what it says actually happened. So no, I no longer think faith in God is stupid. I think one of the most shallow ideas modern people were ever sold is that disbelief is automatically intelligent. Sometimes disbelief is not depth. Sometimes it is pride. And sometimes faith is not an escape from reality. It is what remains when you look at reality honestly enough and realize that man is not enough, matter is not enough, and this world cannot explain itself. I used to think Christians were foolish. Now I think many of them simply saw earlier what I was too proud to see.

@Kekius_Sage Because conflicting structures can’t coexist.

Why do the laws of physics exist in the first place?

This is closer than most. Agree that not all formal microstates are admissible, and that the flow should preserve structure. The question is whether you still need a distribution at all. If a configuration does not survive the dynamics under valid transformations, it gets eliminated—not down-weighted. So instead of restricting probability to admissible states, you can ask: what structure remains after all non-survivors are removed? That’s a different starting point than statistical mechanics. You have 3 of the 5 pillars- keep pressing.

@mathelirium RT4 suggests a stricter starting point: not every formal microstate is physically admissible. The distribution should live only on closure-compatible resonant states, and evolve by closure-preserving flow.

Now that you have a clear idea of what a Hamiltonian System is, we can finally begin Statistical Mechanics. Lecture 1 Take something as ordinary as a gas in a box. Try to describe it microscopically and the amount of information blows up almost immediately. Every particle has a position and a momentum. In 3D, that gives three numbers for position and three for momentum. So, each particle contributes six numbers. For N particles, the exact state of the whole system is one point in a 6N-dimensional Phase Space. If we collect all positions into q and all momenta into p, then the full microscopic state is written as (q,p) This is one point in that enormous Phase Space. For any realistic system, 6N is so large that following this exact point directly is hopeless. The system is still in one precise microstate, but that description is too detailed to be useful. So Statistical Mechanics changes what we track. Instead of one exact microstate, we work with a density over possible microstates: ρ(q,p,t) What does that mean? It does not mean the system is physically spread out across Phase Space. The system is still in one actual microstate. The density tells us how our description is distributed over the microstates consistent with what we know. Therefore, the first move in Statistical Mechanics is this: We replace one exact but inaccessible trajectory by a density on Phase Space. Now, if the microscopic state moves in time, how should this density move? To answer that, go back to Mechanics. Suppose the system is Hamiltonian, with Hamiltonian H(q,p) Then the equations of motion are dqᵢ/dt = ∂H/∂pᵢ dpᵢ/dt = -∂H/∂qᵢ These equations move one exact point in Phase Space. So, if our state is now a density over many possible points, that density must move with the same flow. The Math Breakdown We describe the microscopic state by canonical coordinates (q,p) = (q₁, …, qₙ, p₁, …, pₙ) and our uncertainty by a Phase-Space density ρ(q,p,t) normalized so that ∫ ρ(q,p,t) dq dp = 1 This says the system must be somewhere in Phase Space. Now, ask the central question. If points in Phase Space move by Hamilton’s equations, what equation must ρ satisfy? The basic idea is conservation. Probability should not be created or destroyed as it moves through Phase Space. Therefore, ρ satisfies a continuity equation. Take a tiny region in Phase Space. The amount of probability inside it can only change if probability flows in or out. The Phase-Space velocity field is v = (q̇,ṗ) with q̇ᵢ = ∂H/∂pᵢ ṗᵢ = -∂H/∂qᵢ Thus, the continuity equation is ∂ρ/∂t + ∇·(ρv) = 0 Write that out: ∂ρ/∂t + Σᵢ ∂/∂qᵢ (ρ q̇ᵢ) + Σᵢ ∂/∂pᵢ (ρ ṗᵢ) = 0 Expand with the product rule: ∂ρ/∂t + Σᵢ q̇ᵢ ∂ρ/∂qᵢ + Σᵢ ṗᵢ ∂ρ/∂pᵢ + ρ Σᵢ ( ∂q̇ᵢ/∂qᵢ + ∂ṗᵢ/∂pᵢ ) = 0 Now, use Hamilton’s equations again: ∂q̇ᵢ/∂qᵢ = ∂²H/(∂qᵢ ∂pᵢ) ∂ṗᵢ/∂pᵢ = -∂²H/(∂pᵢ ∂qᵢ) These cancel, so Σᵢ ( ∂q̇ᵢ/∂qᵢ + ∂ṗᵢ/∂pᵢ ) = 0 That is, Hamiltonian flow is divergence-free in Phase Space, and the continuity equation becomes ∂ρ/∂t + Σᵢ q̇ᵢ ∂ρ/∂qᵢ + Σᵢ ṗᵢ ∂ρ/∂pᵢ = 0 This is the so-called Liouville’s Equation. In plain language it means that the density ρ is not created or destroyed. It is carried along by the microscopic dynamics. The flow can stretch it, bend it, and fold it into complicated shapes, but it does not compress or dilute Phase-Space volume in the Hamiltonian sense. Thats why people often say Phase-Space probability behaves like an incompressible fluid. Equivalently, we note that along a trajectory generated by Hamilton’s equations, dρ/dt = 0 So if you move with the flow, the density attached to that moving Phase-Space element stays constant. Therefore, the real foundation of Lecture 1 is this: Before Equilibrium, before Temperature, before Entropy, Statistical Mechanics first tells you how uncertainty itself is transported by Mechanics.

Liouville’s equation tells us phase-space structure is conserved. Nothing is lost at the microscopic level. Entropy only increases when we coarse-grain—when we replace structure with distributions. That works well for gases. But it also hides something important: some structures don’t disappear under the dynamics. Vortex rings, coherent flows, toroidal stability—these persist. They survive perturbation and transformation. So instead of asking: “what’s the probability distribution?” we can ask: “what survives elimination?” That’s the shift behind GIE—structure over probability. itrac.com/key/key_main.h…

There are two different things being mixed here. The dimensional example works because it produces a testable structure: multiple changing observations collapse into a single invariant under a higher-dimensional transform. That’s what makes it meaningful. Claims like “soul” or “forgiveness of sins” don’t currently specify a transform, an invariant, or a way to be exposed to failure. So it’s not that they’ve been refuted—it’s that they’re not yet in a form where they can be evaluated at all. In GIE terms, they’re outside the admissible inference space.

@bloggerwog @Christopher314A @BigBrainPhiloso Turn up and out of Akheron!- Look up! See those higher faculties? What if the soul IS an Imago Die? And this is Nous- what each most is! That's the kind of stuff we say! 'That Jesus forgives sins' has not even been addressed by science! Let alone refuted.

You’re actually pointing at something important here. It’s not just that a sphere appears as a disk in 2D—it’s that multiple changing disks (growing, shrinking) can only be explained by a higher-dimensional invariant. In GIE terms, that’s a dimensional promotion: a transform that reveals structure that is otherwise invisible. The key point is this: the 2D observers aren’t “wrong”—they’re just operating in a space where the invariant isn’t yet representable. This ties directly to one of my 5 my core pillar: “Structure is not defined by appearance, but by what remains invariant under transformation.”

@Christopher314A @bloggerwog @BigBrainPhiloso So, Missler sayeth, to people in 2 dimensions- Mr and Mrs, Flat, A sphere passing through their world WOULD appear as a line or disk! Egyptians thought the sun a disk, and seem not to know it is a sphere! Rah! Rah!

I think I follow your distinction between architecture and operations. But I want to be careful on one point: Are you saying that the existence of architecture implies a designer, or just that there is a higher-level structure that isn’t visible from local operations? Because in my work, structure doesn’t require a “builder” — it emerges from what survives under constraints. That’s an important difference.

@Christopher314A @bloggerwog @BigBrainPhiloso What is the architecture or purpose of an engineering project as a whole is not the same as which operations will work within that project. There is an architechtonic art, and science... So we say, "LOOK UP!"

I think you’re right about the language gap. I’m coming at this as an engineer, so I tend to define things operationally—what holds up when you test it—rather than in terms of categories like form, matter, or noumena. But I don’t think we’re as far apart as it might sound. There’s a lot of overlap with what philosophy is trying to get at—especially around constraint, invariance, and the limits of what can be known. Where I’d draw a line is this: Instead of asking what is true in an abstract sense, I’m focused on what consistently survives when you change conditions, perspective, or framing. That’s what I’ve been calling “structure.” So in that sense, it’s less about redefining truth, and more about tightening the conditions under which something earns the right to be called knowledge at all. Either way—I’ve enjoyed the exchange. It’s rare to get past slogans and into definitions.

@bloggerwog @Christopher314A @BigBrainPhiloso The technical language itself requires an intro course, like a cult, with very particular meanings one may not guess if not an adept, eh. Semiotics ois what again in Pierce? A structure like others, or exempt from irs own epistemology, as empiricism cannot be shown by induction.

Good—this is getting to the heart of it. You’re right about the sphere. No perspective will turn a sphere into a line. That actually supports the point. The question isn’t “does perspective create structure?” It’s: what features remain invariant across all valid perspectives? A disk can appear as a line or a circle depending on angle—but it has an invariant geometry that explains both. A sphere never collapses to a line under projection—that constraint is part of its structure. So this isn’t subjectivism. Perspective doesn’t invent anything—it just exposes what is or isn’t stable under transformation. That’s the distinction I’m pointing to: If something changes with perspective → appearance If something constrains all perspectives → structure And that’s also why partial knowledge isn’t the end of the story. We may only see in part—but the parts that hold together across views are what earn the right to be called knowledge.

@Christopher314A @bloggerwog @BigBrainPhiloso Not because of how it is shaped primarily and how it is viewed secondarily? If it were not a disk but a sphere, no perspective will yield a line. Subjectivism needs to give it up! There is a baby in that bathwater! We "know" things in part, ...

Good question—and I appreciate the shift here. Moving from rejecting the idea to probing definitions is exactly where progress happens. By “structure,” I don’t mean form vs matter or essence in a philosophical sense. I mean something simpler: Structure is what remains invariant when perspective or conditions change. A hoop is a good example. From one angle it looks like a line. From another, a circle. The appearance changes—but the underlying structure (the ring) does not. Same with fluids—there’s structure in the flow. Same with sentences—there’s structure in the constraints. So I’m not saying meaning is structure. I’m saying meaning is only reliable when it’s tied to something that doesn’t break when you change the way you look at it. That’s the distinction I’m pointing to.

@Christopher314A @bloggerwog @BigBrainPhiloso I'm not sure what you mean by "structure," either- that knowledge includes only form and not the mater? That fluids lack structure? What is excluded from structure. That a sentance has order characterizing it doen not mean that its essance is its structure, rather than meaning.