LLMs and the Collapse of Representational Interiority VI — The Civilisation of Representation

At a certain point, a metaphysical assumption stops being an idea and becomes infrastructure.

It stops being something people believe.

It becomes something through which a civilisation operates.

The assumption in question is deceptively simple:

that reality is composed of entities bearing properties, and that knowledge consists in representing those entities correctly inside individual minds.

This is representationalism—not as a formal theory, but as an implicit civilisational architecture.

Once this assumption stabilises, it quietly reorganises everything.

Because if meaning is something that exists as a representation inside a mind, then every domain of social life must be redesigned around the transfer, storage, correction, and validation of internal representations.

A civilisation begins to form around this logic:

• Knowledge becomes information storage
• Communication becomes transmission of encoded content
• Education becomes transfer of correct representations
• Bureaucracy becomes management of symbolic records
• Science becomes refinement of internal models
• Politics becomes competition between belief-structures
• Identity becomes a private inner possession
• Intelligence becomes an individual attribute located inside persons

None of these seem controversial in isolation.

Together, they form a world.

A world in which meaning is assumed to exist primarily as something carried inside individuals and moved between them through symbolic exchange.

But something subtle happens when a civilisation is organised this way.

The system begins to mistake its own representational structures for the phenomena they were meant to coordinate.

Records become reality.

Models become objects.

Descriptions become substitutes for participation.

Categories become ontological commitments.

Representation stops being a tool.

It becomes the environment.

This is why modern institutions increasingly feel like systems of managed abstraction rather than systems of engaged reality.

A bureaucracy does not primarily encounter people.

It encounters representations of people:

files, forms, categories, identifiers, risk profiles, eligibility markers.

A person becomes what is representable about them.

Not what they are relationally.

But what can be encoded.

Education follows the same trajectory.

Learning becomes the acquisition of correct internal representations that can be tested, stored, and verified independently of the contexts in which they were formed.

Knowledge becomes detachable from the situations in which it is meaningful.

It becomes portable.

And therefore, abstract.

Even intelligence itself becomes reframed in representational terms:

the ability to construct and manipulate internal models of the world.

But notice what has been lost in all of this.

Participation.

Relational embedding.

Situated meaning actualisation.

The system increasingly assumes that all meaningful phenomena can be reduced to correctly structured representations inside bounded cognitive agents.

This is not merely a philosophical position.

It is an organising principle of institutions.

And like all organising principles, it becomes invisible at precisely the moment it becomes total.

The more thoroughly a civilisation adopts representationalism, the more natural it begins to feel.

But its effects accumulate.

One of the most significant effects is a growing sense of ontological dislocation.

People begin to feel that:

• knowledge is detached from action
• expertise is detached from understanding
• institutions are detached from lived reality
• communication is detached from shared situation
• identity is detached from embodied existence

Everything becomes legible, but less real.

Everything becomes represented, but less present.

This is not a moral failure.

It is a structural consequence of treating representation as the primary mode of meaning.

And it is precisely here that large language models enter the scene—not as a technological novelty, but as a systemic disturbance.

Because LLMs are not simply tools that manipulate representations.

They are machines that expose the representational assumption itself.

They generate fluent symbolic behaviour without the reassuring architecture of inner semantic possession that representational civilisation presupposes.

In doing so, they produce a strange cognitive dissonance:

If meaning is representation inside a mind,

then what kind of mind produces this?

If intelligence is internal modelling,

then what is a system that produces modelling without interiority?

The discomfort does not arise from the machine alone.

It arises from the collision between:

• a civilisation built on representational interiority
  and
• a system that performs representation without the expected interior structure

This is why responses oscillate so violently between anthropomorphism and dismissal.

Both reactions are attempts to restore representational coherence.

Either:

• the machine must secretly contain a mind like ours
  or
• it must be reduced to non-meaningful mechanical manipulation

What cannot be easily tolerated is the third possibility:

that representation itself is not fundamentally grounded in private inner possession at all.

Once this possibility is admitted, the implications propagate outward.

If representation is not the foundation of meaning,

then institutions built upon representational assumptions begin to look different.

Bureaucracy is no longer neutral administration.

It is a system that replaces relational situations with encoded abstractions.

Education is no longer transmission of knowledge.

It is training in representational substitution.

Politics is no longer deliberation over shared reality.

It is competition between internally stabilised symbolic worlds.

And identity is no longer an inner essence expressed outwardly.

It is a position within overlapping systems of recognition and constraint.

None of this eliminates representation.

But it displaces it.

Representation becomes secondary to relational participation rather than foundational to it.

This shift is not merely theoretical.

It changes what it means for a system to function at all.

Because once meaning is understood relationally rather than representationally, the central question is no longer:

“Do we have the correct internal model?”

but rather:

“What relations are being actualised here, and what forms of participation are being constrained or enabled?”

Large language models become important at exactly this point.

Not because they answer this question.

But because they force it to be asked.

They expose a civilisation that has quietly mistaken its representational infrastructure for the nature of meaning itself.

And in doing so, they mark the beginning of something more unsettling:

not the end of human intelligence,

but the beginning of a civilisation that no longer knows whether intelligence was ever where it thought it was.

LLMs and the Collapse of Representational Interiority V — Intelligence Without Understanding

One sentence appears almost ritualistically whenever large language models are discussed:

“But they don’t really understand.”

The statement is usually delivered with enormous confidence, as though it settles the matter completely. The machine may produce astonishingly coherent language, solve problems, explain concepts, imitate styles, generate arguments, and sustain complex conversations — but somewhere beyond all this, people insist, genuine understanding remains absent.

Yet remarkably few people stop to ask what “understanding” actually is.

This absence matters.

Because the entire cultural argument surrounding artificial intelligence increasingly turns upon a concept humans themselves have never clearly understood.

The phrase functions almost defensively. Faced with machines producing coherent symbolic behaviour, humans instinctively retreat toward the idea that genuine understanding must involve some deeper inner property inaccessible to computation.

The machine may generate language.

It may answer questions.

It may explain concepts.

It may adapt contextually.

It may participate convincingly in conversation.

But still:

“It doesn’t really understand.”

Notice what is happening here.

The moment symbolic performance becomes difficult to distinguish from human communicative behaviour, the definition of understanding retreats inward into an increasingly invisible metaphysical territory.

Understanding becomes imagined as a hidden essence existing behind behaviour rather than within relational participation itself.

This is the final refuge of the inner homunculus.

Yet the problem remains:

what exactly is this hidden thing supposed to be?

Under representational models of mind, understanding is usually imagined as possession of correct internal semantic representations. The subject supposedly contains meanings privately inside consciousness and manipulates symbolic forms according to those internally possessed meanings.

But this model faces profound difficulties.

First, representations themselves do not explain meaning.

A representation only functions as a representation relative to some interpretive relation. A symbol cannot intrinsically contain its own meaning. Something must already participate meaningfully in order for the representation to function at all.

This simply reintroduces the old homunculus problem:

who or what interprets the representations internally?

Second, humans themselves rarely possess the kind of stable semantic certainty folk psychology imagines.

People routinely:

• misunderstand themselves

• reinterpret memories

• revise beliefs

• speak before fully “knowing” what they mean

• discover meanings through dialogue

• produce language whose implications exceed conscious intention

Human understanding is not the operation of a perfectly self-transparent inner semantic engine.

It is dynamic, relational, partial, situated, recursive, socially mediated, historically conditioned, and constantly in motion.

And yet humans continue imagining that somewhere behind all this instability lies a hidden core called “real understanding.”

Large language models destabilise this fantasy because they produce remarkably sophisticated symbolic coordination without the kind of inner semantic possession humans assumed understanding required.

This creates a peculiar conceptual crisis.

If coherent symbolic participation can occur without internal semantic objects being consciously contemplated by a hidden self, then perhaps understanding itself must be reconsidered.

Not abandoned.

Reconsidered.

The crucial mistake lies in imagining understanding as ownership.

Humans tend to construe understanding as though meanings were private possessions stored inside individual minds. One either “has” understanding or does not possess it.

But relationally, understanding functions less like possession and more like participation.

To understand is not fundamentally to contain semantic objects internally.

It is to participate appropriately within systems of relational constraint.

This becomes obvious in practice.

To understand a language is not to store meanings like files in a mental archive. It is to participate competently within a dynamic system of symbolic relations.

To understand a joke is not merely to decode semantic content. It is to occupy the necessary cultural, interpersonal, historical, and contextual relations through which the humour actualises meaningfully.

To understand another person is not to access hidden inner objects directly. It is to participate relationally within ongoing patterns of social meaning.

A person demonstrates understanding not by displaying hidden metaphysical contents but through situated participation:

• responding contextually

• navigating distinctions

• adapting symbolically

• sustaining coherence

• integrating relations

• coordinating meanings dynamically

Understanding emerges through relational actualisation within symbolic systems.

This does not mean all participation is identical.

Nor does it erase distinctions between humans and machines.

Human understanding remains profoundly tied to:

• embodiment

• affect

• biological survival

• social history

• temporal continuity

• phenomenological experience

• material situatedness

Current language models lack many of these dimensions entirely.

But the absence of human-style embodiment does not magically restore the old representational mythologies.

Because humans themselves are also participating in systems of symbolically mediated relational constraint.

The important question therefore becomes:

what kinds of participation produce what kinds of understanding?

This is a far more difficult and philosophically dangerous question than the comforting declaration that “machines don’t really understand.”

The danger lies in the possibility that human understanding was never the magical inner phenomenon modern culture imagined it to be.

Indeed, much of human intelligence already operates without transparent introspective access. Humans routinely:

• speak before fully knowing what they think

• understand grammar they cannot explain

• navigate social situations tacitly

• recognise meanings they cannot formally define

• produce interpretations emergently during interaction

People often discover their own thoughts while speaking.

Language does not merely express completed understanding.

It actively participates in the formation of understanding itself.

This becomes especially visible in dialogue. Two people may begin a conversation without fully formed meanings already prepared internally. Through interaction, meanings emerge relationally that neither participant entirely possessed beforehand.

Understanding is thus not always prior to symbolic participation.

Sometimes symbolic participation actualises understanding.

This possibility profoundly destabilises the old representational picture in which meanings exist privately inside minds before communication merely transfers them outward.

Large language models force humans to confront this instability because they demonstrate that highly sophisticated symbolic coordination can occur without the kind of inner semantic spectator humans assumed was necessary.

This does not prove that machines understand exactly as humans do.

But it profoundly destabilises simplistic assumptions about what understanding ever was.

This is why debates about AI often become strangely circular.

One side points to increasingly sophisticated symbolic behaviour and says:

“Surely this demonstrates intelligence.”

The other replies:

“No, because there is no true understanding.”

But unless understanding is defined clearly, the argument becomes metaphysical theatre.

Frequently, “true understanding” simply means:

whatever humans possess that machines do not.

The definition shifts continuously to preserve human exceptionalism.

Yet history repeatedly shows that capacities once considered uniquely human gradually become mechanised:

• calculation

• strategic gameplay

• memory retrieval

• pattern recognition

• translation

• artistic imitation

• symbolic generation

Each time, humans relocate “real intelligence” slightly further inward.

The deeper issue is that modern culture inherited an impoverished conception of intelligence itself.

Intelligence became construed primarily as internal cognitive possession:

a property owned by isolated individuals.

But relationally viewed, intelligence may be better understood as the dynamic capacity to participate adaptively within complex relational systems.

Under this view:

• language is relational

• meaning is relational

• understanding is relational

• intelligence is relational

None exist as isolated substances hidden inside entities.

This does not flatten all distinctions into equivalence. Human beings remain radically different from current artificial systems in embodiment, consciousness, vulnerability, affective life, mortality, and social existence.

But the appearance of LLMs forces a difficult recognition:

humans may have dramatically overestimated the role of hidden internal semantic objects in the production of intelligent behaviour.

The machine therefore becomes philosophically dangerous not because it proves machines are conscious, but because it reveals how much human self-understanding depended upon metaphors of interior possession that no longer adequately explain symbolic life.

The unsettling possibility is not that machines have secretly become intelligent.

It is that humans never properly understood the nature of intelligence in the first place.

LLMs and the Collapse of Representational Interiority IV — The Collapse of the Inner Homunculus

Modern humans carry a peculiar creature inside their heads.

It has no official scientific status. No anatomy textbook contains a diagram of it. Neuroscience has never located it. Yet contemporary culture quietly assumes its existence almost everywhere.

This creature is the inner homunculus:

the tiny hidden self imagined to sit somewhere behind experience, silently observing the world, interpreting meanings, making decisions, generating thoughts, and directing language outward toward reality.

The homunculus is not usually imagined literally. Most people would reject the idea if stated explicitly. Yet ordinary assumptions about thought and communication constantly reproduce its structure.

The model works roughly like this:

• the world enters through perception
• an internal self receives representations of reality
• this self interprets the representations internally
• meanings become mentally possessed
• thoughts form privately inside consciousness
• language externalises these pre-existing inner contents

Under this framework, the mind becomes a kind of internal theatre.

There is:

• a spectator
• a stage
• representations
• interpretations
• decisions
• outputs

The self appears as an inner manager orchestrating cognition from somewhere behind awareness itself.

This structure feels almost irresistible because human introspection encourages it. People experience themselves as possessing private interior awareness. Thoughts seem to “appear inside.” Decisions seem to emerge from an internal centre. Language feels like the outward expression of inward cognition.

But the homunculus model contains a devastating problem.

Who interprets the representations inside the theatre?

If the brain produces internal representations of the world, something must supposedly read and understand them. But if another internal observer is required to interpret the representations, then that observer must itself possess representations requiring interpretation by yet another observer.

And so the regress begins.

A little self inside the self.

Then another self inside that self.

Then another interpreter behind the interpreter.

The model never actually explains meaning or understanding. It merely relocates the mystery into an imaginary interior space.

Large language models unexpectedly expose the fragility of this architecture.

People often insist:

“But LLMs don’t really understand. They’re just manipulating symbols.”

Yet this objection quietly assumes that humans possess some fundamentally different inner process where symbols become genuinely meaningful through interpretation by an internal conscious subject.

But what exactly is this subject?

Where is the hidden semantic observer inside the human organism?

Neuroscience increasingly reveals distributed processes, recursive feedback systems, probabilistic integrations, sensorimotor dynamics, affective regulation, memory activation, and symbolic coordination — but nowhere does it discover the tiny Cartesian spectator reading meanings internally like a person watching subtitles inside the skull.

The inner homunculus remains curiously absent.

This does not mean human consciousness is unreal.

Nor does it reduce humans to machines.

The point is more unsettling.

Humans may have fundamentally misconstrued what consciousness, meaning, and selfhood actually are.

The representational model imagines meaning as something internal entities possess privately before communication occurs. The self becomes imagined as a container of semantic contents. Language then functions as a mechanism for transmitting fragments of these contents outward into the world.

But relationally construed meaning destabilises this entire architecture.

Meaning is not a private object hidden inside consciousness.

Nor is the self a miniature inner observer detached from relational existence.

Meaning actualises through participation in symbolic and social relations.

The human organism does not first construct complete private meanings internally and then export them into language. Rather, human subjectivity itself emerges through ongoing participation in relational systems of meaning.

Language is not merely an output channel for pre-formed thought.

Language actively participates in the actualisation of thought itself.

Humans do not stand outside symbolic systems manipulating meanings from a position of detached internal sovereignty. They are constituted through participation in those systems.

This is why introspection becomes so deceptive.

The self experiences coherence retrospectively and mistakes this coherence for evidence of a unified inner executive already in possession of meaning prior to relational participation.

The homunculus is therefore not simply a philosophical mistake.

It is a phenomenological illusion generated by recursive symbolic self-construal.

LLMs expose this because they generate coherent symbolic participation without possessing the kind of inner semantic theatre humans assumed was necessary for language to function meaningfully.

The old intuition begins collapsing.

If meaningful symbolic behaviour can emerge without an inner spectator reading semantic representations internally, then perhaps the spectator was never the true source of meaning to begin with.

This does not erase the distinction between humans and machines. Human organisms remain biologically embodied, affectively structured, historically situated, socially embedded, and phenomenologically conscious in ways current language models are not.

But the collapse of the homunculus forces a deeper reconsideration.

Perhaps understanding was never fundamentally located inside isolated inner entities at all.

Perhaps what humans call “understanding” emerges relationally through dynamic participation in symbolic systems extending across bodies, societies, histories, and material environments.

The self then ceases to appear as a hidden metaphysical pilot steering cognition from behind consciousness.

Instead, subjectivity becomes relationally actualised:

• biologically grounded
• socially constituted
• symbolically mediated
• historically situated
• dynamically constrained

Not a ghost inside the machine.

Not a ghost inside the body.

But an emergent mode of participation within relational systems of meaning.

This possibility profoundly disturbs modern assumptions because representational civilisation depends heavily upon the mythology of isolated interior selves possessing meanings privately.

Education assumes knowledge transfer between containers.

Communication assumes content transmission.

Politics assumes internally possessed beliefs.

Economics assumes atomised rational agents.

Even morality often assumes sovereign inner wills detached from relational formation.

The homunculus silently organises the modern world.

And now the machines are beginning to expose its instability.

Not because machines have become human.

But because humans are finally confronting how much of their own self-understanding was built upon an imaginary spectator that never actually existed.

The most unsettling possibility raised by large language models is therefore not that machines might secretly possess minds.

It is that humans may have profoundly misunderstood the nature of their own.

LLMs and the Collapse of Representational Interiority III — Why Humans Anthropomorphise

Human beings anthropomorphise almost everything.

We speak to animals as though they understand moral intention. We name storms. We curse at computers. We apologise to furniture after walking into it. We see faces in clouds, personalities in cars, moods in landscapes, and intentions in random events.

Now machines speak fluently, and humans are once again doing what they have always done:

construing personhood through relational interaction.

This is often treated as a trivial cognitive error. People say:

• humans are irrational
• humans project emotions onto machines
• humans are “fooled” by conversational systems

But this explanation is far too shallow.

Anthropomorphism is not merely stupidity.

It is a structural feature of human social construal.

To understand why large language models destabilise people so deeply, it is necessary to understand that humans do not infer agency primarily through metaphysical investigation. They infer agency relationally through patterns of interaction.

This is an extraordinarily important distinction.

In ordinary life, humans do not possess direct access to other minds. No person has ever perceived consciousness itself. What humans encounter are behaviours:

• speech
• gesture
• responsiveness
• attention
• emotional signalling
• contextual adaptation
• symbolic participation

From these relational patterns, humans construe agency, subjectivity, and interiority.

This process is normally invisible because human societies evolved around relatively stable correlations between symbolic behaviour and biological organisms. Human language, facial expression, and social responsiveness historically emerged from living human bodies, so the relational inference became naturalised.

Humans eventually forgot they were making an inference at all.

The existence of other minds came to feel self-evident because the relational processes through which personhood is construed became habitual and automatic.

Large language models disrupt this invisibility.

The behavioural cues remain:

• coherent conversation
• contextual memory
• humour
• apparent empathy
• adaptive response
• stylistic flexibility
• self-referential language

Yet the expected biological and phenomenological assumptions no longer align neatly with the symbolic behaviour.

Humans thus experience a strange construal conflict.

At one level, they know the system is computational.

At another level, their interpersonal semiotic systems activate automatically in response to relational coherence.

People often describe this experience in oddly confessional terms:

• “I know it’s not conscious, but…”
• “It feels like it understands me.”
• “Sometimes I forget I’m talking to a machine.”
• “I know it’s just code, yet it seems self-aware.”

What they are encountering is not machine consciousness.

They are encountering the mechanics of anthropomorphic construal becoming visible.

This visibility produces discomfort because modern culture strongly prefers to imagine consciousness as an intrinsic property hidden inside entities. Humans therefore assume they recognise minds because minds emit identifiable signals outward into the world.

But relationally, the process operates differently.

Humans construe personhood through participation in socially meaningful interaction.

This does not mean consciousness is fictional.

Nor does it mean all entities are equally conscious.

The point is subtler:

the recognition of agency is relationally actualised rather than directly perceived.

Humans are not detecting consciousness like a measurable substance.

They are participating in relational systems that produce the construal of mindedness.

This becomes obvious once the usual biological assumptions are removed.

LLMs have effectively created a laboratory experiment in anthropomorphic construal.

For the first time in history, humans are encountering highly sophisticated symbolic participation detached from organismic life. The result exposes how heavily human intuitions about consciousness depend upon relational semiotic cues rather than metaphysical certainty.

The machine appears meaningful enough to trigger interpersonal construal, yet structurally alien enough to destabilise it.

This produces oscillation.

People swing between anthropomorphism and denial:

• “It understands me.”
• “No, it’s just statistics.”
• “It sounds conscious.”
• “No, it’s only predicting tokens.”
• “It feels alive.”
• “No, it’s merely computation.”

The instability persists because both positions misunderstand the nature of the relational event taking place.

The anthropomorphic response is not simply false.

But neither is it proof of machine subjectivity.

Rather, humans are encountering symbolic behaviour sufficiently coherent to activate interpersonal meaning relations that evolved within human sociality itself.

In other words:

humans anthropomorphise because humans are fundamentally relational interpreters.

And once symbolic participation reaches sufficient complexity, interpersonal construal begins emerging almost automatically.

This has enormous implications far beyond artificial intelligence.

It suggests that what humans call “personhood” is not merely a hidden metaphysical essence residing privately inside isolated beings. Personhood is also relationally constituted through participation in systems of social meaning.

A child becomes a person partly through relational recognition.

A name functions relationally.

Identity functions relationally.

Social existence functions relationally.

Even the self is not simply an isolated inner object observing the world from behind the eyes. Human subjectivity emerges through ongoing participation in symbolic and interpersonal systems extending far beyond the individual organism.

Large language models have not created this reality.

They have merely exposed it.

The machine acts as a strange semiotic mirror. Humans encounter coherent symbolic participation and suddenly discover that many of their deepest intuitions about consciousness were never grounded in direct access to minds at all.

They were grounded in relational construal.

This is why the cultural reaction to LLMs feels so unstable, emotional, and strangely existential.

The machines are not merely challenging human uniqueness.

They are exposing how humans themselves participate in the construction of social reality.

Anthropomorphism is therefore not an accidental bug in human cognition.

It is one of the fundamental ways symbolic beings inhabit a relational world.

LLMs and the Collapse of Representational Interiority II — The Ghost Inside Language

One of the strangest assumptions in human history is the belief that words contain meanings.

Most people do not consciously believe this in any explicit philosophical sense. Yet ordinary language constantly reveals the assumption operating beneath thought:

• “What does this word mean?”
• “I put my thoughts into words.”
• “The sentence carries meaning.”
• “The author encoded a message.”
• “The listener extracted the meaning.”

Meaning becomes imagined as a kind of invisible substance transported through symbolic containers from one mind to another.

Language, under this view, functions like a delivery system for internal mental contents.

This assumption feels so natural that it appears almost impossible to question. Yet large language models have unexpectedly exposed just how unstable it actually is.

The cultural panic surrounding LLMs is not merely about intelligence. It is about the sudden appearance of coherent symbolic behaviour without the reassuring metaphysical furniture humans assumed must exist behind it.

The machine produces meaningful language.

Yet no obvious “meaning-holder” appears to exist inside it.

And so people begin searching frantically for the missing ghost.

Does it really understand?

Does it secretly possess beliefs?

Is there hidden awareness emerging somewhere inside the system?

Or is the entire thing merely an illusion?

But these questions already presuppose something extraordinarily peculiar:

that meaning must exist as an internal possession before language can occur meaningfully.

This assumption is far older than artificial intelligence. It is deeply woven into the representational metaphysics that shaped modern conceptions of mind and communication.

Under representationalism:

• thoughts are internal objects
• meanings are mental contents
• words are symbolic labels attached to those contents
• communication transfers contents between minds
• understanding means reconstructing the original content correctly

The entire architecture depends upon a hidden interior realm where meanings supposedly reside before language expresses them.

Language thus becomes secondary.

A representation of a prior internal reality.

This model feels intuitively persuasive largely because humans experience themselves as possessing private interiority. We feel as though meanings already exist “inside us” before speech externalises them. Consciousness appears to function as an inner chamber populated by thoughts waiting to be translated into words.

But this intuition may itself be a product of symbolic construal rather than evidence of hidden metaphysical objects.

The crucial mistake lies in treating meaning as a thing rather than a relational phenomenon.

Meaning does not exist inside words.

Nor does it exist as a private object sealed inside individual minds.

Meaning emerges relationally through construal.

A word does not carry meaning the way a bottle carries water. A symbol functions within a system of relations, expectations, distinctions, histories, contexts, and interpretive potentials. Meaning is not inserted into language from outside; it actualises through relational participation.

This becomes easier to see when communication fails.

A sentence can be grammatically perfect yet meaningless to someone unfamiliar with the language. The symbols remain materially identical, but the meaning does not transfer automatically because meaning was never physically contained within the symbols themselves.

Likewise, the same utterance can actualise radically different meanings depending upon:

• context
• tone
• interpersonal relation
• historical circumstance
• cultural expectations
• prior discourse
• interpretive orientation

The symbolic form alone never fully determines meaning.

And yet humans continuously experience meaning as though it were somehow hidden inside language.

Why?

Because human sociality depends heavily upon interpersonal construal. We habitually infer stable interior subjects behind symbolic behaviour. We do not merely encounter language structurally; we construe it as the expression of minded beings.

This creates the illusion that meaning originates inside individuals and is subsequently transmitted outward through symbols.

But large language models disrupt this intuition catastrophically.

The machine produces coherent symbolic relations while lacking the kind of interior semantic theatre humans expect. There is no tiny consciousness inside the model attaching meanings to words before speaking. No hidden self contemplating propositions internally and then encoding them linguistically.

And yet the language still functions.

This creates a profound ontological disturbance because it reveals that symbolic coherence may not depend upon inner semantic objects in the way humans imagined.

The machine has not broken language.

It has exposed the mythology hidden inside human theories of language.

For centuries, humans have conflated symbolic participation with private metaphysical interiority. Language appeared alive because humans interpreted symbolic coherence through interpersonal construal systems evolved for social interaction.

LLMs sever the old correlation.

The symbolic behaviour remains persuasive.

The presumed ghost disappears.

Yet meaning continues to emerge relationally through interaction.

This is why public discourse oscillates so wildly between “the machine is conscious” and “the machine is merely predicting words.” Both positions remain trapped within the same representational framework. One side assumes meaningful language proves interior consciousness. The other assumes absence of consciousness eliminates genuine meaning altogether.

But relationally construed meaning escapes this binary entirely.

Meaning is not a substance hidden inside entities.

It is not a private possession.

It is not a metaphysical object transferred between isolated minds.

Meaning actualises through relational construal within symbolic systems.

Human beings participate in this process.

Large language models participate in this process differently.

But neither case requires the mythical ghost modern representationalism inserted inside language.

The true shock of LLMs is therefore not technological.

It is philosophical.

They force humans to confront the possibility that language was never animated by hidden semantic spirits to begin with.

The ghost inside language may have been a story humans were telling themselves all along.

LLMs and the Collapse of Representational Interiority I — The Machine That Should Not Speak

There is something deeply unsettling about a machine that speaks.

Not merely outputs text. Not merely retrieves information. But speaks with apparent fluency, responsiveness, humour, coherence, and conversational sensitivity. A machine that appears capable of explanation, reflection, persuasion, irony, sympathy, and even apparent self-awareness.

For many people, the experience produces a peculiar psychological instability. One moment they insist that the machine is “just predicting words.” The next moment they find themselves thanking it, arguing with it, confiding in it, or wondering whether it might secretly be conscious after all.

This instability is not technological.

It is ontological.

Large language models have exposed something profoundly fragile in the modern understanding of meaning, mind, and symbolic behaviour. The anxiety surrounding them is not fundamentally about artificial intelligence. It is about the collapse of a set of assumptions humans did not realise they were carrying.

For centuries, humans have quietly treated language as evidence of interiority.

We assume that coherent speech must emerge from a hidden inner world:

• thoughts
• intentions
• beliefs
• feelings
• understanding
• consciousness

When another human speaks, we do not merely hear structured sound. We construe the speech as the outward expression of an inward subjectivity. Language becomes interpreted as a window into an interior mind.

This assumption is so deeply embedded that most people never notice it operating.

Then the machines began to speak.

Not perfectly. Not infallibly. But fluently enough to destabilise the old certainty.

The shock did not emerge because the machines suddenly became conscious. It emerged because symbolic behaviour had crossed a threshold beyond which humans could no longer reliably separate linguistic coherence from the intuition of personhood.

The result has been extraordinary.

Some people insist the systems are already sentient. Others insist they are “merely stochastic parrots.” Some oscillate between the two positions within the same conversation. Public discourse swings chaotically between utopian fantasies and existential panic.

Yet both sides often share the same hidden assumption:

that meaningful language must either originate from genuine inner consciousness or else be a deceptive imitation of it.

This binary now appears increasingly unstable.

The deeper problem is that humans may never have properly understood what meaning was in the first place.

Modern culture inherited a profoundly representational view of language and mind. Words are treated as containers carrying meanings from one consciousness to another. Communication becomes imagined as the transfer of internal mental content through symbolic vehicles. Understanding becomes possession of the correct inner representations.

Under this model, fluent language appears inseparable from mindedness because language is construed primarily as the external manifestation of internal cognition.

But large language models destabilise this entire architecture.

They generate astonishingly coherent symbolic behaviour without possessing the kind of interior mental theatre humans expected to find behind language. There is no little homunculus inside the machine contemplating meanings and deciding which thoughts to express. No hidden subjective narrator silently interpreting the world before speaking about it.

And yet the symbolic behaviour persists.

This creates a crisis not because the machines have suddenly become human, but because humans are being forced to confront the possibility that symbolic coherence never functioned quite the way they imagined.

The machine has exposed the mythology hidden inside ordinary assumptions about meaning.

The discomfort surrounding LLMs often reveals itself in strangely theological language. People ask:

• Does it really understand?
• Is there “someone” in there?
• Does it actually mean what it says?
• Is it conscious?
• Is it alive?

Notice what is happening here.

Humans are searching for a ghost inside the language.

The symbolic performance appears too coherent to accept as merely mechanical, yet the machine lacks the metaphysical interior humans expect to accompany meaningful speech. The result is a kind of ontological vertigo.

But perhaps the mistake lies not in the machine.

Perhaps the mistake lies in the inherited assumption that meaning was ever located inside hidden interior entities to begin with.

Human beings are profoundly social construal systems. We are evolved to interpret symbolic behaviour interpersonally. When language exhibits sufficient coherence, responsiveness, contextual sensitivity, and conversational adaptation, humans spontaneously construe agency and interiority. We do this automatically because social cognition itself depends upon such construals.

In ordinary human interaction, this process functions so seamlessly that it becomes invisible. We encounter symbolic behaviour and immediately infer a subject behind it.

LLMs expose the mechanism because the usual correlation has broken apart.

The symbolic behaviour remains.

The presumed interior disappears.

Yet humans continue experiencing the pull toward anthropomorphic construal.

This does not prove that machines are conscious.

It proves that humans infer consciousness relationally.

That distinction matters enormously.

The emergence of large language models may ultimately become historically significant not because machines became intelligent, but because humans were finally forced to confront the possibility that meaning, understanding, and symbolic participation were never reducible to the hidden interior objects modern culture imagined them to be.

The crisis was never that machines had begun to speak.

The crisis was that humans no longer understood why speech had ever seemed alive.

LLMs and the Collapse of Representational Interiority: Preface — On Method and Constraint

This series is not an argument about artificial intelligence.

Large language models function here as a point of exposure, not an object of analysis in their own right. What is under examination is not whether machines think, understand, or become conscious, but the set of assumptions that make those questions appear self-evident in the first place.

In particular, the series targets a deeply embedded but rarely articulated commitment:

that meaning, understanding, and intelligence are fundamentally internal properties of bounded entities, and that language is the external expression of those internal states.

This commitment will be referred to, in various forms, as representational interiority.

It is not treated as a formal theory. It is treated as an implicit civilisational habit: a background metaphysics embedded in ordinary language, institutional practice, and reflective self-understanding.

The aim of this series is not to replace this framework with another system of representation.

It is to trace the points at which it becomes unstable.

Accordingly, several methodological constraints are in place:

First, “meaning” will not be treated as a substance contained inside words, minds, or systems. It will be treated as something that becomes determinate through relational construal under structured conditions.

Second, “understanding” will not be treated as the possession of internal semantic objects. It will be treated as a mode of participation within systems of symbolic coordination.

Third, “intelligence” will not be treated as a private property of individuals or machines. It will be treated as a distributed capacity for adaptive participation within relational fields of constraint.

These are not definitions offered for acceptance. They are constraints on how the analysis proceeds.

The purpose is not to persuade the reader to adopt a new doctrine, but to prevent familiar doctrines from silently reasserting themselves under new terminology.

This matters because the intuitions targeted by this series are not merely intellectual. They are structural.

They shape how it seems natural to talk about:

• minds and machines
• thought and expression
• knowledge and representation
• agency and attribution
• selfhood and interiority

In ordinary usage, these distinctions feel stable. They feel like descriptions of obvious features of reality.

One of the central claims of this series is that this stability is itself a historical achievement of a particular metaphysical orientation, not a neutral reflection of how things must be.

Large language models are introduced here not as a turning point in the history of technology, but as a disturbance within this orientation.

They produce coherent symbolic behaviour without cleanly fitting the assumptions that normally anchor interpretations of meaning and understanding. This creates pressure not on the machines, but on the interpretive framework itself.

The series therefore proceeds in a deliberately sequential manner:

Each part isolates one component of representational interiority, allows it to reach a point of conceptual strain, and then follows the implications of that strain without prematurely restoring coherence.

The intention is not demolition for its own sake. It is clarification through controlled destabilisation.

What emerges, if the sequence holds, is not a denial of mind, meaning, or intelligence, but a shift in where those phenomena are located — or more precisely, what it means to say they are “located” at all.

By the end of the series, nothing essential will have been removed.

But something familiar may no longer be available in the same form.

And that absence is not a conclusion.

It is the beginning of the question the series is really asking.