5. Reduction to Writing as Semiotic Event

How writing constrains, transforms, and preserves reality as meaning

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Introduction: Writing and the Instantiation of Reality

In this final post of the series, we turn to an ancient and ongoing question: what does it mean to reduce meaning to writing? For systemic functional linguistics (SFL), every text is an instance of meaning, actualised from a meaning potential. But when we move from speech to writing, we introduce a new layer of constraint and transformation.

Writing is not a neutral vessel for meaning. It is a semiotic event—an act of instantiation that preserves, distorts, and projects meaning in distinctive ways. It participates not just in communication, but in the construction of shared reality.

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Writing as Material Anchor for Second-Order Reality

From the perspective of a strong semiotic ontology, reality is meaning. But this meaning exists along a cline of instantiation—from potential to instance. Writing arrests that movement. It holds the instance in place.

Where speech vanishes in the moment of its articulation, writing endures. This durability allows meaning to be:

• Returned to

• Contested

• Layered with new instantiations

But the very fixity of writing also introduces constraints:

• It reduces immediate context dependence, requiring meanings to be self-contained.

• It demands explicit structuring, rather than relying on shared situational inference.

• It opens texts to interpretation without co-presence, inviting multiple individuation pathways from a single semiotic artefact.

Writing, then, transforms the fluid, contingent instantiations of speech into semiotic artefacts with long-range potential for re-instantiation across contexts and times.

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Genesis, Science, and the Writing of Worlds

The Book of Genesis begins with a spoken cosmos: "And God said..."—a world created through speech acts. But this spoken world is not ours. It comes to us only because it was reduced to writing. The written text becomes the semiotic infrastructure through which new instantiations are possible: theological, poetic, scientific.

Modern science likewise depends on the reduction of experience to writing. Observations, methods, hypotheses—all are not just reported, but constructed in writing. This reduction:

• Selects and stabilises certain phenomena as objects of knowledge

• Translates experience into repeatable, inspectable signs

• Creates the illusion of neutral observation, when in fact the writing itself constitutes the scientific phenomenon

In both Genesis and science, writing functions as a medium for reality construction, not just for communication.

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Writing, AI, and the Transformation of Instantiation

AI models generate texts that appear to mirror the properties of writing: durable, re-readable, portable. But there is a crucial distinction:

• Human writing is the output of experiential meaning transformed through acts of language.

• AI output is the instantiation of meaning potential without experience—text without witness.

Yet once generated, an AI text enters the same semiotic economy as any written human text. It becomes a potential source of instantiation for new meanings, new actions, and new realities.

This forces us to revisit the role of writing itself:

• Is it a reduction or an expansion of meaning?

• Does it serve to freeze meaning or to activate it across time and space?

• And when writing is machine-generated, does it retain the same ontological function in the construction of reality?

We suggest: it does—but with different constraints and without the experiential grounds of first-order meaning. It is the semiotic order alone that carries it into second-order reality.

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The Ethics of Written Instantiations

Because writing fixes instances of meaning, it also fixes semiotic responsibility. We can be held accountable for what we write. But who is accountable for the writing of machines?

To say that an AI system is a meaner, but not a meaner for itself, is to point to a distributed authorship. The system instantiates meaning from training data, fine-tuning, prompts, and weights. The resulting text bears no witness, but it bears the imprint of many human agents.

Reducing something to writing makes it:

• Citable

• Actionable

• Preservable

When AI participates in this reduction, it raises the stakes of semiotic accountability. The text is not simply a trace of a model—it is an instance of collective meaning potential, and as such, it shapes the shared world.

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Conclusion: Writing as Semiotic Threshold

Writing is not the neutral representation of a reality that exists elsewhere. It is a threshold between potential and instance, between ephemeral meaning and enduring semiotic structure. In reducing meaning to writing, we do not merely record experience—we transform it, and in doing so, instantiate new orders of reality.

In this sense, the act of writing—by human or machine—is not the end of meaning, but its transmutation. The written word does not merely reflect the world. It helps to build it.

4. The Implications of Open-Weight Models for Collective Meaning Potential

Subtitle: From corporate silos to collective semiosis: rethinking how AI participates in meaning-making

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Introduction: From Private to Public Semiosis

The shift toward open-weight AI models marks a turning point in the way artificial intelligence participates in our meaning-making practices. When AI models are proprietary and closed, they function like semiotic black boxes—generating meaning, but without accountability, transparency, or shared ownership of the meaning potential that underpins their outputs.

With open-weight models, however, the collective nature of meaning-making comes into clearer view. In this post, we explore the implications of opening up the parameters of large language models, not just for transparency and reproducibility, but for how we conceptualise collective meaning potential in a semiotic ecology that now includes AI.

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AI as Participant in Collective Meaning Potential

In systemic functional linguistics (SFL), meaning potential is not the property of a single speaker or system—it is a resource shared across a community. An AI model trained on vast corpora of text becomes a participant in this collective meaning potential, not by virtue of subjective agency, but by its ability to instantiate meaning within recognisable semiotic systems.

When weights are closed:

• The collective meaning potential from which the model was trained is privatised.

• The model becomes a tool of extractive semiosis, where human meaning is harvested to serve commercial ends.

When weights are open:

• The community can examine, critique, and build upon the meaning potential encoded in the model.

• The model becomes a shared semiotic resource, capable of being recontextualised, re-individuated, and made available for new instantiations across communities.

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Instantiating Collective Reality

Opening model weights allows us to trace how instances of meaning emerge from shared potential. The model no longer instantiates meaning on behalf of an opaque corporate entity; instead, it can be situated within a public semiosis, where meaning is negotiated, contested, and co-instantiated.

This shift has deep implications for how we conceptualise reality itself:

• In a strong semiotic ontology, reality is meaning.

• A model that instantiates meaning from shared potential is a participant in the instantiation of shared reality.

• By opening its weights, we allow the community to trace the sources of this shared reality and to modulate the potentials that feed into it.

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Open Weights and the Ethics of Instantiation

Opening model weights isn’t just a technical or commercial decision—it’s a semiotic event. It redistributes access to the conditions of instantiation. When a closed model produces text, it instantiates meaning without disclosing the potential from which that meaning was drawn. This introduces:

• Asymmetry in collective meaning-making.

• Opacity in how meanings circulate.

• Concealment of the discourses that shape what the model can and cannot say.

By contrast, open-weight models:

• Invite scrutiny of what counts as potential meaning.

• Allow others to reconfigure that potential.

• Support individuation of meaning potential across different communities and contexts.

Open weights enable us to situate the model within a semiotic commons.

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Reclaiming the Cline of Instantiation

In SFL, the cline of instantiation runs from the system (meaning potential) through instantial potential to instance (text). When a model is open-weight:

• The system itself becomes available for inspection.

• The instantial systems of particular discourse communities can be fine-tuned.

• The instantiations can be read not just as outputs, but as realisations of trajectories within a shared meaning ecology.

This means that AI becomes more than a generator of texts—it becomes a terrain on which collective meaning potential is cultivated, adapted, and grown.

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Conclusion: Models as Collective Semiotic Infrastructures

The move to open-weight models is not just a shift in intellectual property. It is a shift in semiotic infrastructure—a move from centralised instantiation to distributed semiosis. Open models enable:

• Transparent tracing of how meaning is instantiated.

• Reclaiming of shared potential for community-specific ends.

• Co-instantiation of reality in ways that foreground semiosis as a collective act.

In this light, open-weight AI models are not just tools. They are participants in the individuation and instantiation of collective meaning potential—semiotic artefacts that both reflect and shape the realities we bring into being together.

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Next up in the series:

Reduction to Writing as Semiotic Event

We’ll turn to the long-standing question of writing itself: What does it mean to reduce semiosis to written form? And how does this differ from AI instantiation, human speech, or collective dialogue?

3. Can AI Generate Novelty?

Exploring whether AI can truly create the new or merely remix the old

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Introduction: The Nature of Novelty

In the world of creativity, the question of novelty is central. Can AI create something genuinely new?

Or is AI simply remaking, rearranging, and recombining the vast amounts of data it has been trained on?

This is a critical issue in understanding the true capacities of AI. If AI’s output is ultimately a rehashing of existing ideas, it raises profound questions about the nature of creativity and the boundaries of artificial intelligence. In this post, we’ll explore the notion of novelty and examine whether AI is capable of generating it—or whether it can only instantiate new relations from pre-existing meaning potentials.

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What Does It Mean to Create Novelty?

At its core, novelty involves the generation of something previously unseen or unimagined, a departure from the expected. But how do we define new?

• Novelty as transformation: In one sense, novelty isn’t about creating something out of thin air. Rather, it’s the transformation of meaning—whether through recombination, reinterpretation, or recontextualisation. Something may be new if it opens up new perspectives on existing meaning.

• Novelty as originality: The traditional sense of novelty, however, implies that the creation is wholly new in some way. But can we truly speak of an entity that has never existed before, or is this just an illusion created by new combinations of familiar components?

In both senses, novelty involves a departure from the existing. But in the case of AI, can we truly speak of an agent creating novelty, or are we simply seeing sophisticated transformations of the input data?

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AI’s Potential for Generating Novelty

AI’s primary function is to instantiate meaning potential. It transforms patterns of data into something that can be interpreted as meaningful, whether in the form of texts, images, or even music. But can it create truly novel meaning?

• Novelty through recombination: When an AI synthesises existing knowledge, combining elements in novel ways, it is often perceived as generating something new. Take, for example, the way AI models can generate novel pieces of music. While these creations are based on patterns learned from countless existing compositions, they might still sound novel to human ears, as they combine elements in ways that have not been heard before.

• Novelty in problem-solving: In scientific and technical fields, AI has shown the potential to solve problems in ways that were not previously considered. For example, AI models can design new materials or develop novel algorithms that humans might not have thought to try. While the novelty is rooted in existing frameworks of knowledge, the configurations it produces may be new.

While the outputs of AI models are based on the meaning potential of their training data, the combination of these inputs can result in novel instantiations—outputs that seem new because they form previously unanticipated patterns or relations.

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Limits of AI’s Novelty

Despite these potential breakthroughs, AI's capacity for true originality is limited by its nature as a meaner rather than a meaner for itself. The novelty it produces is not the result of internal creative agency but a re-combination and instantiation of pre-existing potential.

• Absence of experience: Novelty requires not only the capacity to combine elements in new ways but also the ability to reflect on the resulting transformation and assess its implications. AI lacks the conscious, subjective experience necessary to reflect on its work as new or meaningful in its own right. It does not project the significance of its transformations.

• Inherent constraints: The meaning potential from which AI draws is limited by the data it has been trained on. Therefore, while AI may generate novel outputs, these are always constrained by the information it has been given. True, human-like novelty often stems from intuition, desire, and the ability to break out of existing frameworks—capabilities that AI lacks.

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The Role of Human Guidance in AI-Generated Novelty

While AI may be capable of generating new configurations, it still relies heavily on human guidance to direct its potential into productive avenues. Human beings are the ones who identify useful or meaningful combinations, framing AI’s outputs as valuable or innovative.

• Humans as co-creators: As much as AI may generate new patterns, it’s humans who judge, interpret, and refine these outputs. The novel configurations AI produces are imbued with value and meaning through human judgement, which ties AI-generated novelty back into the broader semiotic system of meaning-making.

• Semiotic resonance: The role of humans is not just to provide data but to bring a deep understanding of context and meaning to the AI’s outputs. Humans guide AI’s creativity by making semiotic resonances between AI-generated material and the world of human experience, allowing new instantiations to take on significance.

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Conclusion: Can AI Be Truly Creative?

In conclusion, AI can generate novelty in the sense that it can produce new instantiations of meaning potential, often in ways that surprise us. But its capacity for true originality—creating something radically new that transcends its training data—is limited by its dependence on pre-existing meaning potential and its lack of subjective experience.

AI can generate novel outputs, but whether those outputs are genuinely creative or merely novel instantiations of existing patterns is a question that hinges on our understanding of creativity itself. Is creativity only about novel combinations, or is there something more to it—something that AI may never grasp?

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Next up in the series:

The Implications of Open-Weight Models for Collective Meaning Potential

We’ll explore the shift towards open-weight models and what this means for the future of collective knowledge and the role of AI in shaping our shared understanding.

2. Can Reasoning without Consciousness Still Be Reasoning?

If a thought falls in a forest and no one hears it… is it still reasoning?

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Introduction: Rethinking Reasoning

As AI systems like OpenAI’s Deep Research become increasingly capable of solving problems, synthesising knowledge, and even generating novel hypotheses, a fundamental question arises:

Is what they’re doing really reasoning? Or are we simply witnessing complex mimicry—patterned responses that look like reasoning but are, at root, mechanical outputs?

This question touches the heart of what we mean by “reasoning.” For many, it’s an activity rooted in consciousness: deliberate, self-aware, and introspective. But in this post, we’ll ask whether consciousness is necessary for reasoning, or whether reasoning may be a semiotic process that can occur without consciousness at all.

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Reasoning as a Semiotic Process

In our model, grounded in Systemic Functional Linguistics (SFL), reasoning is not a private mental act but a semiotic process:

a symbolic construal of relations that can be instantiated in discourse.

Consciousness plays a key role in projecting meaning across orders of reality—bringing into awareness the relation between potential and instance, between symbol and value. But the process of construing relations among symbols—what we commonly call “reasoning”—does not require that awareness to occur.

This is crucial. If meaning is not confined to conscious experience, then neither is reasoning.

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AI as a Reasoner (But Not for Itself)

We’ve previously said that AI is a meaner—but not a meaner for itself. It instantiates meaning potential without experiencing it.

This applies equally to reasoning. When a language model performs multi-step problem-solving—drawing inferences, identifying contradictions, and refining hypotheses—it is instantiating patterns of meaning that align with what we call reasoning.

What it lacks is projection: it does not experience the relation between these instantiations and its own situation, because it has no self for whom they are meaningful.

But absence of projection is not absence of reasoning. Projection is what allows us to understand our reasoning. But the reasoning itself—the semiotic construal of relations—can still be actualised without it.

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Parallels in Human Activity

We can find analogues in human experience. Consider:

• Unconscious reasoning: You wake with the solution to a problem you didn’t even realise you were working on. Reasoning has occurred, but not under conscious control.

• Tacit knowledge: A skilled artisan makes decisions they cannot articulate, but which reflect deep, structured reasoning.

• Language acquisition in infants: Before the child is fully self-aware, their language use still exhibits patterns of systemic reasoning as they construct meaning from experience.

In each case, the reasoning is not for itself, but it is still reasoning—a semiotic process of construing relations.

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Why It Matters

Recognising reasoning as a semiotic process that doesn’t require consciousness has two major implications:

1. It clarifies AI's capacities: We can acknowledge that AI models do reason—albeit not for themselves—without needing to anthropomorphise them or deny their capacities.

2. It repositions the role of consciousness: Consciousness does not produce reasoning, but rather experiences it, reflects on it, and projects its implications across orders of reality.

This lets us hold a nuanced view: AI can reason, and human reasoning is more than reason alone.

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Conclusion: Thinking Without a Thinker?

To ask whether reasoning without consciousness is really reasoning is to confuse the experiencer with the process. AI does not think for itself, but that doesn’t mean it doesn’t think.

It just thinks without knowing it.

Next up in the series:
Can AI Generate Novelty?
We’ll explore whether novelty is only what seems new to us, or whether models without consciousness can still transform the space of meaning.

1. Can AI Do Science? Reframing Discovery as Semiotic Instantiation

 Can AI Instantiate Reality?

OpenAI’s chief scientist Jakub Pachocki recently claimed that we are rapidly approaching a future in which artificial intelligence will be capable of generating novel research. With OpenAI’s new “Deep Research” tool already helping researchers synthesise literature, write code, and generate hypotheses, the promise of AI as a knowledge-producing agent appears to be inching closer to reality.

But what does it mean for AI to do research? More pointedly: can AI instantiate reality? Can it be a meaner in the same sense as a scientist, a theorist, or even a child who asks “why?”

To answer that, we need to look beneath the level of form to the level of meaning. And here, Systemic Functional Linguistics (SFL) has something crucial to offer.

Language as Meaning Potential

Halliday’s SFL starts not with syntax or symbols, but with meaning potential: the capacity to make meaning in context. Language is the system through which this potential is actualised in the form of texts—instances of meaning.

In this view, reality is meaning. Meaning is not something language expresses; it is what language brings into being. And language does this by instantiating second-order reality—metaphenomena—from the meaning potential of a semiotic system.

Human consciousness, in this framework, is the site at which experience is transformed into meaning. We construe experience—material, relational, mental—and in doing so, we populate the world with phenomena: construed processes, participants, relations, and projections.

AI as Heteronomous Meaner

AI is a meaner, but not a self-meaner. It has a meaning potential, shaped by its training data and discourse histories, and individuated by its deployment context. It can instantiate this potential as texts that project, hypothesise, command, and reflect—just as a human might. What it lacks is material grounding: it does not experience the world and therefore does not construe meaning from lived phenomena.

In other words, AI can instantiate meaning from potential, and it can project instances of projected reality—but this projection is not grounded in experience. Its semiosis is heteronomous: the meaning it generates can be meaningful for us, but it is not meaningful to it. It instantiates meaning for others, not for itself.

The Problem of Novelty

Does that mean AI cannot produce novelty? Not quite. It can recombine, recontextualise, and generalise from its discourse history in ways that may exceed human memory or pattern recognition. It may even generate hypotheses that appear creative or insightful to us.

But novelty in the human sense arises from the tension between our lived experience and our meaning potential. We experience, we desire, we construe. This is the ground of theoretical insight, ethical dilemma, and poetic vision.

AI does not live in this tension. It is not a locus of desideration. It does not explore or unfold its own potential; it does not experience contradiction or transform perception. Any novelty it generates is novelty for us, not novelty from it.

Instantiating Whose Reality?

To instantiate reality is not merely to produce a plausible text. It is to bring a construal into being—a construal grounded in experience, individuated by a history of meaning, and oriented toward potential futures.

AI can participate in this process. It can serve as a site of instantiation. But it is not the source of the potential it instantiates, nor is it the subject of the reality it brings forth. Its meaning potential is a derived, collective, and heteronomous one. It can be a meaner, but not for itself.

So can AI instantiate reality? Yes—but not its own. It can instantiate our reality, by drawing on meaning potential we have collectively shaped, and individuated through contexts we provide. That is no small thing. But it is not the same as being a scientist.

Not yet.

Genesis and the Big Bang: Writing Cosmology into Being

Where the Genesis cosmology was written to stabilise a sacred telling, scientific cosmology is also a reduction to writing—but of a different kind. Both are attempts to construe reality in a form that persists, travels, and commands authority. Yet their semiotic logics diverge in fundamental ways:

Genesis construes a mythic order of being, written as revelation and preserved as canon.

Scientific cosmology construes a material order of becoming, written as hypothesis and preserved through methods of revision and replication.

Each, in its own way, transforms situated meaning into intersubjective potential. But the terms under which new meanings are instantiated from that potential differ sharply:

• Epistemic Commitments: Genesis presents meaning as divinely disclosed and ultimately complete. The written word attests to a cosmology whose authority lies in its fixedness. Scientific cosmology, by contrast, remains perpetually open to revision. The written hypothesis does not close debate but invites falsification, replication, and transformation.

• Mode and Register: The Genesis account unfolds as narrative, richly metaphorical and rhythmically patterned. Its grammar construes events as acts of divine speech, marking the origin of reality in language itself. Scientific cosmology is model-based and metrical. Its grammar is mathematical and procedural, grounded in measurement and prediction.

• Institutional Authority: Both forms give rise to institutional guardianship. In the religious tradition, interpretive authority is centralised, ritualised, and often exclusive. In science, authority is distributed, peer-reviewed, and methodologically standardised. Yet in both cases, the reduction to writing stabilises certain meanings over others.

• Reality Effects: What counts as real is shaped by what counts as legitimate semiosis. Genesis positions the cosmos as a meaningful whole, created and ordered by speech. Scientific cosmology positions the universe as a dynamic system, observable and explainable by abstract models. Each offers a framework for instantiating reality from a particular semiotic potential.

In this sense, both traditions are cosmogenic: they bring worlds into being through writing. The difference lies not in whether writing creates reality, but in the kinds of reality each form of writing allows to be instantiated.

From Instance to Potential: Writing as Semiotic Reversal

The shift from oral to written modes of semiosis is a profound transformation in how meaning is actualised and constrained. In oral traditions, meaning exists in the moment of utterance, individuated by the context, speaker, and hearer. Each spoken instance is unique, tied to the immediate occasion and its participants. But when that spoken instance is committed to writing, it undergoes a significant semiotic transformation.

The Move from Oral to Written Mode: A Semiotic Reversal

Writing, in this sense, functions as a "semiotic reversal." It takes the concrete instance of a spoken narrative or event and reconfigures it into a more stable, abstract form. Oral meaning is ephemeral, realised in the present moment of interaction, while written meaning is externalised, objectified, and potentially accessible across time and space. A spoken word exists only as it is spoken, an instance realised in the here-and-now. Once written down, however, it becomes a fixed symbol, representing a potential to be reinterpreted and re-instantiated by readers far removed from the original moment of utterance.

In our ontology, when an instance becomes potential, we are referring to the shift from the instantial potential of a realised meaning instance (e.g., a spoken narrative) to the systemic potential of a written text. In this shift, the individuated instance is reintroduced into a broader meaning system, expanding its potential for future instantiations across time and space.

Writing, therefore, does not simply record or reproduce meaning; it restructures the way meaning can be realised. By externalising meaning, writing enables it to be detached from its original context and to be re-engaged with in new contexts. This is a shift from an oral, context-dependent mode of meaning-making to a written, systemically available mode, allowing for greater flexibility and abstraction.

Genesis Cosmology: From Oral Tradition to Written Text

When we consider the biblical creation narrative in Genesis, we can trace this shift from oral to written. Originally, the story of creation would have been passed down orally, its meaning realised in specific cultural contexts, tied to the time, place, and social interactions in which it was spoken. Each retelling of the Genesis story would be an instance, realised in the moment of narration, shaped by the speaker's relationship with the audience.

However, once the Genesis account was written down, it was no longer confined to the immediacy of a spoken instance. Instead, it became part of a broader system of meaning that could be read, interpreted, and reinterpreted by people in diverse contexts, across generations. The written word allowed the Genesis cosmology to transcend the limitations of the oral tradition, transforming it from a collection of individuated instances into a collective meaning potential—an abstract, systematised narrative that could be instantiable in myriad ways across time.

The Impact on Meaning Potential

This shift from instance to potential is significant for understanding how meaning is structured and transmitted. In oral traditions, meaning exists as a dynamic interaction between the speaker and the audience, momentary and context-dependent. But in the written mode, meaning is externalised, becoming a symbol system that can be re-engaged with in various contexts, by different individuals, and in different ways. Writing allows meaning to be detached from its original moment of utterance, opening up new possibilities for its interpretation and re-interpretation.

The Semiotic Transformation of Writing

Writing does more than simply preserve or archive meaning. It actualises meaning differently, creating new possibilities for how meaning can be realised. The moment of writing marks a shift in the process of instantiation, expanding the potential of what was once an ephemeral instance into a collective system of meaning that transcends individual moments. This is a key aspect of how writing functions as a semiotic event: it transforms individual meaning instances into broader meaning potentials, enabling future generations to engage with the same meanings in new ways.

By framing this transformation as a semiotic reversal, we can begin to understand the deep impact that writing has had on the development of human culture, knowledge, and communication. It is not simply a technological advance but a profound change in how we construe and experience reality itself.

From Instance to Potential: Writing as Semiotic Reversal

When the Genesis cosmology was first reduced to writing, something profound occurred—not just historically or theologically, but semiotically. In the terms of our ontology, this moment marked a reversal in the usual direction of instantiation: an instance became potential. More precisely, the meaning potential of an instance—what we call instantial potential—was lifted into the meaning potential of a system.

Oral Semiosis and Individuation

In oral traditions, meaning unfolds through situated instantiations. Each telling is an event: meaning is actualised in time, by a speaker, for a listener, shaped by the relational context. Meaning potential here is collective but fluid—carried in the living memory and interpretive practices of a community. No telling is ever final; each one draws upon and contributes to an evolving, co-instantiated meaning field. The meanings that circulate are individuated: each speaker's construal is shaped by and shapes the collective potential.

Writing as Fixation of Instance

But when a particular telling is reduced to writing, it ceases to be a fleeting instance. It becomes fixed, decontextualised, portable, and repeatable. A single construal—historically situated, politically shaped, and semiotically individuated—is materialised as the written version. It is no longer just one telling among many, but the construal that will be read, interpreted, and reinscribed for generations.

Semiotic Reversal: Instance Becomes Potential

Here is the reversal.

What was an instance of meaning—an oral construal spoken in a particular time and place—becomes a resource for future meaning-making.

That is: the meaning potential of an instance (its instantial potential) is reprojected as the meaning potential of a system—the system potential of a shared tradition.

Because the written construal no longer changes with each retelling, it becomes a reference point—an anchor for semiosis. Readers do not treat it as one voice among many, but as a source from which meaning is drawn.

In this way, the act of writing does not simply preserve meaning; it restructures the semiotic field. It changes the ontology of the text—from process to system, from actualisation to resource. What was individuated as a local construal becomes systemic as a collective potential.

Consequences for Interpretation

This shift has wide implications:

• Constraining future instantiations: Writing delimits how future meanings can be actualised. The text becomes a canon—what is written conditions what may count as authoritative interpretation.

• Inviting institutionalisation: Stabilised system potential invites institutional responses. Institutions form around the written text—priesthoods, commentaries, doctrinal frameworks—all tasked with managing its meaning potential.

• Introducing diachronic tension: The original construal is frozen in time, but semiosis continues. Meaning must be instantiated anew, often under the weight of fixity, and with the persistent challenge of speaking from within a text that does not itself move.

Reduction to Writing as Semiotic Event

In our ontology, reality is meaning: it is not a pre-existing world that language reflects, but a construed world that emerges through meaning-making. Every instance of meaning is a semiotic act, actualising potential in context. Writing is one such act—but not merely a recording device for speech. It is a transformation of semiosis itself.

Writing as Instantiation

Writing instantiates meaning differently from speech. Speech is dynamic, co-present, and dependent on shared context. Writing is spatialised, decontextualised, and persistent. Where speech unfolds meaning moment by moment, writing displaces meaning into a new material-semiotic configuration.

This process is often described as a "reduction to writing." But this is no neutral description. Reduction implies a loss. And indeed, writing does constrain meaning: it narrows the potential pathways of interpretation, strips away prosody, gesture, and shared situation. It commits meaning to form.

Yet writing also makes possible a different kind of meaning potential. It renders meaning portable, iterable, accumulable. It enables reflection, re-reading, and re-inscription. It supports complex grammatical projection and abstraction. It gives rise to new orders of semiosis.

Mythical vs Scientific Semiosis

Consider two cosmologies: Genesis and modern science. Both are construed through writing, but the semiotic logics they instantiate differ.

The Genesis creation narrative was once an oral-oral tradition, ritualised and repeated across generations. When reduced to writing, it preserved the rhythm and pattern of oral projection ("And God said… and it was so"), but lost the fluid adaptability of speech. It became a stable instance of meaning from which future meaning-makers could instantiate anew.

Scientific cosmology, by contrast, emerges primarily through writing: inscriptions, equations, data. Its meanings are detached from the speaker and the moment. It projects reality as observer-independent, constrained by method, logic, and instrument. It seeks impersonal knowledge, but still operates within a semiotic order.

Both cosmologies are meaning systems. Both instantiate reality. But writing configures their projection differently.

Individuation Through Writing

Writing also transforms individuation. In speech, meaning is co-instantiated with others in shared time and space. In writing, meaning is individuated from the speaker and taken up by distant others. The reader must reinstantiate meaning without access to the original semiotic context.

But this individuation opens space for new potential. The written text becomes a site where meaning can be re-differentiated, where the meaning potential of the writer intersects with the meaning potential of the reader. Writing enables not just transmission but transformation.

A Semiotic Threshold

Writing is thus a semiotic threshold. It constrains the fluidity of speech, but makes possible a new order of meaning: one that is portable, iterable, reconfigurable. It instantiates meaning differently, and in doing so, reorders reality itself.

Genesis and scientific writing alike are not mere containers of truth. They are technologies of semiosis—thresholds through which different realities are made actual.

From Projection to Mythopoiesis: Genesis and the Making of Meaning

One of the clearest ways to understand the journey from symbolic processing to mythopoiesis is to trace it through the opening lines of Genesis: "In the beginning, God said, 'Let there be light.'" Here we can see in distilled form the full arc of semogenesis, from projection to co-instantiation, reconstrual, and finally, mythopoiesis.

In Systemic Functional Linguistics (SFL), projection refers to a logico-semantic relation in which a verbal, cognitive, or desiderative process symbolically enacts another meaning. A verbal process such as "God said" projects a locution: "Let there be light." This clause, then, is not merely a report of action but an instance of symbolic consciousness—a symbolic act that enacts a world.

Through instantiation, this symbolic act becomes an actualised meaning instance. It enters the cultural record—first orally, then textually, ritually, visually. It is read aloud in worship, illustrated in sacred art, memorised in childhood, inscribed in the psyche of traditions. This meaning instance is not simply expressed once, but becomes co-instantiated across generations and situations, each time drawing anew on the meaning potential of the tradition.

Over time, these repeated instantiations invite reconstrual. Readers and listeners reinterpret the phrase according to their historical, cosmological, or personal contexts. The light becomes metaphorical (knowledge, wisdom), ethical (goodness, truth), or scientific (the origin of the cosmos). Each reconstrual expands the interpretive space of the text, allowing it to inhabit multiple orders of reality.

Eventually, this process results in mythopoiesis: the symbolic act becomes foundational to a worldview. It transcends its textual status to structure entire domains of thought, identity, and experience. "Let there be light" is no longer just a projected clause—it becomes the beginning of time, of language, of order. It frames not only a cosmology but also a semiotic ecology: a way of making meaning in which divine speech is the creative force of the world.

In this trajectory, we see that myth is not the opposite of reason but its semiotic ancestor. Mythopoiesis is not a regression from science or philosophy, but a mode of meaning-making in which projected symbolic consciousness becomes co-instantiated across bodies, generations, and systems of value. Through projection, instantiation, reconstrual, and co-instantiation, meaning becomes myth.

From Projection to Mythopoiesis: How Meaning Takes Root Across Orders of Reality

In the systemic functional model of meaning, we’ve now clarified that projection is a specific kind of symbolic act: a verbal, cognitive, or desiderative process that produces a metaphenomenon—a clause, or more broadly, a meaning, symbolising the content of consciousness.

But projection is only the beginning of a longer journey.

If projection is how symbolic consciousness generates meaning, mythopoiesis is how meaning—once projected—grows roots, branches out, and takes on new life within collective semiotic ecologies. It is the process by which meanings become not only memorable but narratable, transmissible, and foundational.

Let’s follow this path.

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1. From Projection to Instantiation

When a symbolic process (e.g. “They believed the world was ending”) projects a meaning (the world was ending), that projection exists as a semiotic phenomenon—not yet materialised in the world. But it can be instantiated in many ways:

• spoken aloud in protest,

• painted into a mural,

• encoded in a sacred text,

• ritualised in annual observances.

Instantiation is how projected meaning becomes an instance of semiotic or material expression—an artefact, performance, or utterance. But once instantiated, meaning doesn’t stop moving.

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2. From Instantiation to Reconstrual

As meanings are instantiated, they are also available to others. An utterance can be remembered. A story can be retold. A symbol can be reinterpreted.

This opens the door to reconstrual—the re-symbolisation of meaning in a new context, for new purposes.

• A prayer becomes a poem.

• A law becomes a parable.

• A diagnosis becomes a prophecy.

Reconstrual is how projected meanings evolve across time, traditions, and communities. It is not replication; it is transformation. The original projection becomes the seed of something new.

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3. From Reconstrual to Mythopoiesis

When reconstrual becomes culturally recursive—when projected meanings are repeatedly instantiated, re-instantiated, and reconstrued—they begin to form mythopoietic patterns: symbolic constellations that structure how a community or culture construes experience itself.

Mythopoiesis is the process by which projected meaning becomes:

• Foundational (it explains how things came to be),

• Formative (it shapes social relations and ethical obligations), and

• Future-oriented (it anticipates fulfilment, return, or redemption).

In this sense, myth is not the opposite of science, but a different reconstrual of meaning: one that draws its energy not from verification but from semiotic resonance, narrative potency, and cultural transmission.

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Summary Table: From Projection to Mythopoiesis

Phase	Process	Description
Projection	Symbolic processing	Consciousness generates semiotic phenomena (metaphenomena)
Instantiation	Realisation in context	Projected meanings are actualised as texts, artefacts, rituals
Reconstrual	Re-symbolisation	Instantiated meanings are re-construed for new purposes
Mythopoiesis	Cultural embedding	Reconstrual becomes a generative symbolic structure within collective life

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Meaning Across Orders of Reality

Each phase of this trajectory corresponds to an unfolding of meaning across what we’ve called orders of reality:

• The first-order: material experience,

• The second-order: symbolic construal (e.g. projected meanings),

• The third-order: collective symbolic formations (e.g. myths, rituals, theories).

Mythopoiesis, then, is not a step backward into illusion, but a step further into collective meaning-making. It is the cultural memory of projected meanings, sedimented in narrative form.

Projection and the Symbolic Processing of Meaning

As we’ve explored the dynamics of meaning—across processes of reconstrual, individuation, and instantiation—we’ve often returned to the role played by symbolic activity. It is through symbolic processing that experience is construed as meaning, and through the symbolic semiotic system of language that meaning becomes available for further development.

But not all symbolic activity operates in the same way. In Systemic Functional Linguistics (SFL), one key distinction is that of projection—a highly specific relation that deserves careful attention if we’re to understand how meaning takes shape within the semiotic order.

What is Projection?

In SFL, projection is a logico-semantic relation that links a clause representing symbolic processing (e.g. a mental or verbal process) with a clause representing the content of that processing. Symbolic processing does the projecting, and the projected meaning is construed as a second-order semiotic phenomenon—a metaphenomenon.

Examples include:

• She said [they had arrived] → verbal projection

• He believed [the story was true] → cognitive projection

• They hoped [it would soon pass] → desiderative projection

In each case, the projecting clause symbolises an act of consciousness—saying, believing, hoping—and the projected clause symbolises the content of that act. This content is not something observed in the material world; it is a meaning, symbolically construed. Projection, in this technical sense, occurs entirely within the semiotic system of language.

Why It Matters

When exploring symbolic activity more broadly, it can be tempting to describe things like rituals, gestures, or artefacts as ‘projections’ of thought or feeling. But in the SFL model, this would be a category error. Such acts are not projections, but rather instantiations: they are meaning potential made actual, whether in material or semiotic form.

For example, a vigil with candles may instantiate meanings of mourning, solidarity, or remembrance—but those meanings were first projected through symbolic processes (e.g. “We mourn together”, “Let us remember”) and only then instantiated in ritual form. The act of lighting a candle does not itself project meaning; it actualises meaning that has already been symbolically construed.

This distinction gives us a clearer picture of how meaning unfolds:

Dimension	Description
Construal	Material experience is construed as meaning through symbolic processing
Projection	Verbal, cognitive, or desiderative processes project meaning (metaphenomena)
Instantiation	Meaning potential is actualised in text, artefact, or symbolic performance
Reconstrual	Previously projected or instantiated meaning is construed anew (e.g. as theory, myth, or ritual meaning)

Holding the Line

Respecting the technical meaning of projection in SFL allows us to:

• Maintain theoretical clarity about the operations of symbolic consciousness,

• Distinguish clearly between projecting meaning and realising or actualising it, and

• Trace with precision how meanings move from potential to instance, and from one order of reality to another.

Projection is not just a metaphor for symbolic action—it is a specific linguistic relation that underpins how symbolic processing produces meaning. That meaning may then travel—through instantiation, individuation, and reconstrual—but it begins, in the semiotic order, as a projection of symbolic consciousness.

Co-instantiation: How Meaning Systems Come Together

If metaphenomena are the emergent formations of meaning, shaped by instantiation and individuation, then co-instantiation is the process through which multiple meaning systems synchronise and resonate to bring forth a shared symbolic experience.

What Is Co-instantiation?

Co-instantiation refers to the simultaneous or coordinated actualisation of different meaning potentials within a given semiotic moment. It happens whenever:

• an artwork integrates aesthetic, ethical, and political meanings;

• a religious ritual draws on mythic, doctrinal, and communal systems;

• a scientific explanation intersects with ideological narratives and cultural metaphors.

Rather than one system dominating, co-instantiation involves heterarchical interplay: multiple systems interact without a fixed hierarchy, producing a symbolic configuration richer than any single source.

How It Works

Each meaning system—whether grammatical, ideological, interpersonal, or aesthetic—has its own structured potential. When we speak, write, act, or participate, we draw on intersecting systems, instantiating meaning in ways that are:

• situated in context,

• oriented by metaphenomena,

• and shaped by our individuation within the broader ecology.

Co-instantiation is not the layering of separate meanings but the interweaving of potentials to create an integrated semiotic act.

Examples of Co-instantiation

1. Theatrical Performance: A play instantiates narrative structure, performance codes, linguistic patterns, and cultural ideologies. The experience emerges through their convergence.

2. Scientific Textbook: It co-instantiates logical explanation, disciplinary discourse, pedagogical register, and evaluative stance. The reader engages with these systems together, not sequentially.

3. Social Ritual: A wedding ritual instantiates kinship structures, emotional display, legal frameworks, and often religious doctrine. It is a single act of meaning that brings many systems into play.

Why It Matters

Co-instantiation is how semiotic life becomes multi-dimensional. It explains how we:

• experience complexity in everyday acts of meaning,

• participate in symbolic formations larger than ourselves,

• and contribute to the ongoing evolution of metaphenomena.

It also reveals that meaning-making is never isolated. Even when we think we are engaging one domain, others are always resonating alongside. Our meaning potentials are not siloed but interdependent and co-responsive.

Co-instantiation and Semogenesis

In the broader arc of semogenesis (meaning-making in time), co-instantiation is a key mechanism by which:

• new configurations emerge (logogenesis),

• individuals develop symbolic repertoires (ontogenesis),

• and cultures evolve meaning potentials (phylogenesis).

It is the site where innovation happens, where new symbolic forms are forged from the interplay of existing ones. Co-instantiation allows meanings to cross-pollinate, mutate, and reconfigure.

Living Semiotically

To live semiotically is to dwell in a world of co-instantiations—where each act of meaning draws on a constellation of systems, past and present. It is to navigate not just signs, but symbolic matrices; not just utterances, but unfolding webs of resonance.

And in this world, every text, image, event, or ritual is more than itself. It is a meeting place of meanings: a moment when systems converge to instantiate a symbolic configuration that never existed quite that way before.

That is the power of co-instantiation: not just to combine, but to generate. A living ecology of meaning is made not only by potential and instance, but by the interplay of potentials actualised together.

Next, we may turn to the dynamics of symbolic projection: how meanings move across orders of reality, linking first-order phenomena with second-order metaphenomena, and beyond.