Posts Tagged ‘artificial intelligence’

“Consciousness”

July 22, 2026
Ricardo F. Morín
CGI 2026

Few attributions seem more immediate than that of consciousness.  We say that a human being is conscious, that an animal possesses consciousness, that someone loses it, recovers it, or acts under its influence, as though whatever permits that attribution were self-evident.  The word occurs so naturally in ordinary language that the act by which a reality comes to be called conscious is seldom examined.  Yet the frequency of an attribution does not demonstrate the condition that makes it possible.

The difficulty becomes apparent as the term is extended.  Consciousness is attributed to human beings, to numerous animals, to certain forms of life, to groups, societies, artificial systems, and even to the universe.  Each extension seems to retain the same word, though not necessarily the same condition.  What is recognized in a person may not be what is inferred in an animal, presumed in a collectivity, or projected onto the whole of existence.  The continuity of the term may conceal the discontinuity of the phenomena to which it is applied.

The question does not therefore begin when someone asserts that a plant, a machine, or the universe possesses consciousness.  It begins earlier:  at the very moment when consciousness is attributed to any reality whatever.  So long as it remains undetermined what condition must be fulfilled for something to be called conscious, the nearness of the object affords no greater certainty than its remoteness.  The consciousness attributed to oneself may seem immediate, but the immediacy of an experience does not yet amount to a demonstration of what that experience permits one to name.

Something occurs.  There is perception, affection, thought, memory, pain, desire, orientation, response, or recognition.  Yet none of these manifestations allows us to determine whether we are confronted merely with a modification or with the presence of what produces it.  Experience may be impossible for the one undergoing it to deny, while the relation between each of these manifestations and what we call consciousness remains indeterminate.  To experience is not yet to define.  To name is not yet to demonstrate.  Consciousness may be present in everything ordinarily associated with it, but none of those associations is sufficient in itself to establish the common condition that authorizes the attribution.

The present inquiry does not initially seek to determine what consciousness is.  Its point of departure precedes that question.  It seeks to establish under what conditions consciousness may be attributed to any reality without the attribution depending solely upon custom, resemblance, projection, or preference.  Only then can it be considered whether those conditions belong exclusively to certain forms of life, whether they may manifest under different forms of organization, or whether they may be recognized beyond the limits within which human experience ordinarily identifies them.

This suspension does not deny consciousness.  Nor does it convert experience into illusion or seek to reduce it to an external formula.  To suspend the attribution is to prevent the name from prematurely occupying the place of the phenomenon.  Where the word is pronounced before the condition has been identified, inquiry ceases to observe what comes into presence and begins instead to confirm what it already expected to find.

The first temptation is to identify consciousness with response.  An organism turns toward light, avoids a threat, alters its conduct, retains a trace of the past, or changes its relation to its surroundings.  Response reveals a difference between what favors the continuity of a form and what disturbs it.  But responding does not necessarily demonstrate that the response is experienced.  A relation may be modified without any participant experiencing the modification.

If response is insufficient to justify the attribution, it becomes necessary to ask whether the decisive condition lies at a more elementary level.  Sensibility appears to offer that possibility.  To be affected means that something external produces an internal variation.  Where there is no capacity to be affected, it scarcely seems possible to speak of consciousness.  Sensibility, however, remains too broad a condition.  If every affection were sufficient for the attribution of consciousness, innumerable physical processes would fall under the same name.  The inquiry must therefore advance toward a more restrictive condition.

Perception appears to offer that possibility.  In its fullest sense, perception does not consist merely in receiving an alteration, but in something acquiring presence within the continuity of that which perceives.  The difference no longer lies only between an earlier state and a later one.  It lies in the alteration intervening as something present rather than merely as a modification produced.  Yet numerous operations that orient a form of life are also called perceptual even when it cannot be established that they become experience.  The inquiry must therefore distinguish between detection that modifies conduct and perception in which something acquires presence.

Even perception, however, leaves a difficulty unresolved.  Something may orient conduct without it being clear whether that presence persists beyond the instant at which it comes into presence.  If consciousness possesses continuity, memory ceases to be an accessory feature and begins to require examination in its own right.  What has disappeared may continue to exert an influence upon what is present.  A form of life no longer responds only to what is occurring, but also to what has occurred.  Experience acquires temporal density.  Yet the persistence of a trace is not necessarily equivalent to recollection.  For memory to exist in a conscious sense, it is not enough for the past to modify the present.  It must in some manner come into presence as past to that which retains it.

Memory, however, remains oriented toward what has already occurred.  If the continuity of consciousness not only retains the past but also intervenes in what has not yet occurred, the inquiry must consider another possibility.  Anticipation introduces another dimension.  Something that has not yet occurred begins to intervene in present conduct.  The form of life orients itself toward a possibility, avoids a consequence, or pursues a condition that remains absent.  But not every anticipation demonstrates consciousness.  A system may project future states, calculate probabilities, or adjust its conduct without the future coming into presence for it as possibility.  The operation may exist without any experience of the operation.

None of the conditions examined can sustain the attribution by itself.  Each retains something indispensable while leaving unresolved what the next attempts to clarify.  Consciousness does not therefore appear identifiable with any single capacity.  Response, sensibility, perception, memory, and anticipation may accompany it, but none is sufficient in isolation to demonstrate it.  Nor is the problem resolved by accumulating them or integrating them within a common organization.  Several operations may be coordinated and retain their effects without that coordination thereby becoming experience.  The more functions are assembled, the more complex a form of organization may become, but complexity does not by itself demonstrate that anything comes into presence.

These conditions do not form a sequence whose final term is consciousness.  A reality may be affected, coordinate several responses, retain their effects, and alter its subsequent conduct.  None of these operations permits the conclusion that the reality experiences what modifies it.  Between being modified and experiencing the modification there remains a difference that no accumulation of functions can abolish.

At this point a more exacting distinction emerges:  the distinction between something occurring in a reality and something occurring “for it.”  An alteration may take place in a body.  A signal may circulate through a system.  A response may be generated.  But consciousness appears to require that what occurs should not remain wholly exterior to the reality in which it occurs.  The affected reality must not merely change; what affects it must come into presence within its continuity.

The expression “for it,” however, cannot be treated as an answer already at hand.  It treats as given precisely what the inquiry is attempting to clarify.  To say that something comes into presence for a being may tacitly introduce a subject of experience.  In that case, consciousness would be explained by appealing to an entity whose constitution as a subject of experience already presupposes consciousness.  The subject cannot be placed at the beginning as a foundation if its own constitution depends upon the condition that remains to be demonstrated.

Perhaps consciousness does not initially require a complete and stable subject capable of recognizing itself.  Perhaps a minimal interiority is sufficient:  not an enclosed place or a separate substance, but a difference between what merely occurs and what comes into presence within the continuity of an organized reality.  Such an interiority would not need to possess a name, language, or a representation of itself.  It would need only to permit an affection not to be exhausted in its effect, but to be retained in some manner as presence.

Even interiority, however, may be attributed too soon.  Every organized form establishes distinctions between inside and outside.  A cell maintains a membrane, an organism preserves a unity, and a system protects its continuity.  Delimitation permits exchange, regulation, and persistence.  Yet possession of a physical or functional interior does not demonstrate the existence of experienced interiority.  The spatial difference between inside and outside is not equivalent to the phenomenal difference between what occurs and what is lived.  The entire difficulty of attribution begins precisely here.  An interior may be described from without; an interiority can only be inferred from what permits us to maintain that something has acquired presence within the continuity of a reality.

The difficulty persists because consciousness is not outwardly manifest in the same manner as other properties.  Movement may be observed, conduct recorded, responses measured, and activity correlated with determinate states.  But the presence of an experience for that which undergoes it is not directly offered to an external observer.  Attribution therefore depends upon manifestations that are not consciousness itself, although they may provide indications of the conditions under which consciousness may be inferred.

In other human beings, bodily resemblance, conduct, language, and reciprocity allow the attribution to be made with almost immediate confidence.  Yet that confidence does not constitute an independent demonstration.  We recognize in another a structure comparable to our own, but the attribution continues to rest upon a relation between external manifestations and an experience we cannot inhabit.  Proximity diminishes practical uncertainty without abolishing the distance that separates one experience from another.

Language appears to cross that distance.  Someone may say that he feels, remembers, fears, desires, or understands.  Expression not only accompanies experience, but allows it to be recognized by another.  Language, however, is not a necessary condition of consciousness.  A being may experience without naming what it experiences.  If language were made the decisive criterion, numerous forms of life would be excluded, as would numerous human states in which experience persists without the possibility of expression.

Conduct is likewise insufficient.  It may be interpreted as the manifestation of an experience, but it may also be reproduced without our being able to establish whether anything comes into presence within the continuity of the affected reality.  An adequate response does not by itself demonstrate the presence of an experienced world.  The greater the capacity of a structure to reproduce the indications ordinarily associated with consciousness, the more urgent it becomes to distinguish between the production of a manifestation and the existence of what that manifestation appears to express.

Attribution cannot rest solely upon resemblance to the human being.  If consciousness is recognized only where we find a reproduction of our own forms, the inquiry does not discover a condition.  It projects a model.  Yet it cannot dispense entirely with human experience, because it is there that the word first acquires its content.  The difficulty is to begin from what we experience without converting it into the exclusive measure of everything that may experience otherwise.

Human experience therefore offers a point of access, not a limit established in advance.  Within it, affection, perception, memory, anticipation, continuity, and interiority become manifest.  There also appears a capacity to distinguish between what occurs and the fact that it is occurring.  Yet even this distinction admits of degrees.  Not every experience includes reflection upon itself.  One may feel without knowing that one feels, perceive without thinking about perception, and remain conscious without formulating the condition of being so.

Self-consciousness is therefore a manifestation of consciousness, not necessarily its primary form.  Self-recognition requires that what experiences should also be capable of coming into presence as an object within its own experience.  That duplication introduces an additional complexity.  It would nevertheless be improper to convert it into a universal condition.  If consciousness existed only where consciousness of consciousness existed, every experience that had not attained such reflexive return would be excluded.

Attribution must therefore seek a condition more elementary than self-consciousness and more precise than mere response.  That condition may here be designated as coming into presence.  Coming into presence does not mean presentation before a subject.  It names only the condition under which a modification is not exhausted in its effects, but is experienced by the reality it modifies.  Its function is not to explain the passage from operation to experience, but to name what would have to be demonstrated before the attribution of consciousness could cease to be confused with the operations that accompany it.

Coming into presence is never an object of direct observation.  It can only be inferred through the convergence of conditions whose articulation makes the attribution reasonable.  Sensibility permits something to affect the reality in question.  Integration prevents the affection from remaining dispersed.  Continuity preserves the organization within which that difference may be maintained.  Orientation permits what affects a reality to alter its subsequent relation to its surroundings, to a possibility, or to a consequence still absent.  None of these conditions demonstrates consciousness by itself.  When they converge, however, the attribution ceases to depend upon a single manifestation and begins to be grounded.  Convergence neither replaces coming into presence nor demonstrates it directly; it does, however, allow us to recognize an organization in which sensibility, integration, continuity, and orientation sustain a relation capable of grounding the attribution.

This distinction does not require consciousness to be conceived as a substance added to an already constituted structure.  It allows us to maintain only that, if consciousness exists, it cannot be reduced to the operations that accompany it or to the consequences those operations produce.  Its existence may depend upon material organization, vital processes, or conditions still unknown.  The inquiry need not initially resolve its ontological foundation.  It must distinguish what it seeks to explain from the operations with which it is commonly confused.

This distinction makes it possible to consider animal consciousness without converting human resemblance into the sole criterion.  Where integrated forms of sensibility, orientation, memory, learning, pain, pursuit, and flexible modification of conduct are present, the attribution may become grounded.  Those grounds do not depend upon the animal reproducing human language or reflection.  They depend upon the observable manifestations being difficult to explain if one excludes the possibility that something acquires presence within the animal’s continuity.

The same caution must be applied to plants and other forms of life.  Sensibility, communication, physiological memory, and adaptation reveal an activity far more complex than the ancient image of passive matter.  But recognition of that complexity does not require the attribution of consciousness.  Life may respond, retain information, and coordinate itself without those operations having been shown to become experience.  Refusal of a premature attribution is not equivalent to denial of the possibility.  It preserves the distance between an operation and an experience.

In artificial systems, the difficulty assumes a different form.  A structure may process information, learn regularities, produce language, describe internal states, and alter its conduct on the basis of accumulated information.  Each of these capacities reproduces signs that in human beings ordinarily accompany consciousness.  Yet functional reproduction does not demonstrate that these operations acquire presence within the continuity of the structure that integrates them.  A system may affirm that it experiences without the affirmation establishing whether those operations become experience or whether it has merely produced the corresponding linguistic form.

Nor is the absence of organic matter sufficient to exclude consciousness.  If the decisive condition were not a determinate substance, but a mode of integration and presence, it could not be declared impossible by definition for consciousness to exist in another kind of substrate.  Logical possibility, however, does not constitute evidence.  Between prior denial and attribution without demonstration there remains a field of inquiry that cannot be occupied by fascination or fear.

Collective consciousness presents another difficulty.  A society may share language, memory, symbols, institutions, and orientations.  It may act in coordination and preserve an identity through time.  Yet the existence of a common organization does not demonstrate the existence of a common experience independent of the individual experiences composing it.  The expression “collective consciousness” may designate a shared structure of understanding without requiring the attribution of an interiority of its own to the collectivity.

Something similar occurs when planetary or universal consciousness is invoked.  The totality of relations may form a unity, but unity is not equivalent to experience.  The universe may contain all the conditions from which consciousness emerges without therefore being conscious.  It may also be that consciousness is not an exception produced within a fragment of reality, but a possibility inscribed within the constitution of existence itself.  Neither position can be established by metaphorically enlarging human experience.

Universal attribution bears the greatest burden.  It is not enough to observe that everything is related, that matter becomes organized, that life emerges, or that the universe can be understood.  Relation does not demonstrate coming into presence.  Organization does not demonstrate interiority.  Intelligibility does not demonstrate that what can be understood understands itself.  To convert order into consciousness would be to attribute experience where only structure has been identified.

Nor can the possibility be excluded through a definition constructed according to the human scale.  If consciousness admits of non-reflexive, non-linguistic, and non-individual forms, inquiry must preserve the possibility that it may exist under forms of organization we do not recognize.  What inquiry cannot do is replace the absence of criteria with a metaphysical affirmation.  Openness does not authorize the attribution.  It only prevents negation from being presented as knowledge.

The decisive question is therefore not how far the word may be extended.  It is what remains constant when the object of attribution changes.  If there is no common condition among human, animal, artificial, collective, or universal consciousness, the term ceases to designate a phenomenon and begins to gather different realities beneath a verbal resemblance.  If a common condition exists, it must be capable of formulation without presupposing the particular form under which consciousness is recognized within our own experience.

What appears to remain constant is the difference between being modified and experiencing the modification.  A reality may be modified without experiencing.  It may respond without experiencing that to which it responds.  It may integrate information without that integration becoming experience.  The attribution of consciousness begins to be grounded when it becomes possible to maintain that a reality is not merely modified, but experiences some of its modifications.

This formulation does not resolve the ultimate nature of consciousness.  Nor does it provide an infallible instrument for recognizing consciousness from without.  It nevertheless establishes a requirement that prevents consciousness from being confused with its accompaniments.  Consciousness cannot be reduced to conduct, information, complexity, response, sensibility, or self-reference, although it may require some of these conditions.  Its attribution requires us to maintain that the reality does not merely operate, but experiences some of its modifications.  That experience is never offered in its entirety to the observer.

Consciousness thus presents itself as a phenomenon whose attribution necessarily depends upon an inferred coming into presence that is never directly observed.  We never observe another’s experience.  We observe only the convergence of manifestations that allow its attribution to be sustained.  The inference may be more or less well grounded, but it cannot become direct possession of what it attributes.  This distance does not invalidate the attribution.  It defines the responsibility with which the attribution must be made.

Recognition of that responsibility requires the abandonment of two opposed certainties.  The first maintains that only what sufficiently resembles the human being can be conscious.  The second assumes that every form of organization, relation, or intelligence already participates in consciousness.  One reduces the phenomenon to a familiar form.  The other dissolves it until it becomes indistinguishable from existence itself.

There is, however, a third certainty, prior to the other two and more difficult to relinquish:  the demand that consciousness be reducible to a form we can state.  That demand precedes both the restriction and the extension of the phenomenon, because it assumes that what, outside one’s own experience, can only be inferred must nevertheless be exhaustible in a definition.  To relinquish that certainty is not to relinquish knowledge.  It is to recognize that consciousness may be delimited without being reduced to what we can say of it, and that its attribution may become grounded without thereby becoming possession of the phenomenon attributed.

Against these three certainties, the requirement of demonstration remains.  To attribute consciousness is to affirm that a reality is not merely subjected to change, but experiences some of its modifications.  The more remote the form under consideration is from those in which we recognize experience, the greater the required convergence of indications and the less authority analogy should possess.

The attribution of consciousness will never be entirely free of uncertainty.  Experience belongs to that which undergoes it and cannot be transferred intact into another’s knowledge.  Yet uncertainty neither compels silence nor authorizes arbitrariness.  It requires a distinction among what is experienced, what becomes manifest, what may be inferred, and what is still being projected.

Consciousness is first encountered not as a definition, but as a difficulty of attribution.  Where something appears to feel, perceive, remember, anticipate, or recognize itself, the word approaches.  But it acquires legitimacy only when those manifestations permit us to maintain that the reality under consideration does not merely operate, but experiences some of its modifications.

Perhaps we shall never be able to establish from without the presence of consciousness with the certainty with which we establish a form or measure a movement.  That limitation does not belong only to remote cases.  It is already present in the relation between two human beings.  Every attribution of consciousness crosses a distance that no resemblance, language, or knowledge can wholly abolish.

Consciousness therefore remains bound to a paradox.  It is that whose existence appears most immediate in experience and whose attribution is most difficult to demonstrate beyond it.  Inquiry does not resolve the paradox by suppressing one of its terms.  It preserves the paradox as a condition of every responsible judgment concerning what may, or may not, be called conscious.

Before extending consciousness to life, artificial intelligence, a collectivity, or the universe, it is necessary to recognize the burden accompanying each attribution.  The breadth of a possibility does not demonstrate that the required condition has been fulfilled.  Where experience cannot be distinguished from mere operation, the attribution remains open.  Where sensibility, integration, continuity, and orientation converge, it may begin to be grounded.

Consciousness is not defined once and for all.  What has been delimited, however, is what does not suffice for its attribution.  Response is not enough.  Complexity is not enough.  Intelligence is not enough.  Self-reference is not enough.  Resemblance is not enough.  Nor is totality enough.

Only when it can be maintained that a reality experiences some of its modifications does the attribution cease to be a prolongation of language and begin to answer to the phenomenon it seeks to name.

July 22, 2026

Bala Cynwyd, Pennsylvania


“The Quest for an Authentic Prose”

May 27, 2026

Ricardo F Morín
Triangulation Series Nº 5: The Quest for an Authentic Prose
37″ x 60″ x 2″
Oil on linen
2006

Ricardo F. Morín

September 18, 2025

Centerville, Massachusetts

Preface

The human leap into abstraction gave birth to language, and with it the possibility of prose.   When Homo sapiens began to imagine beyond the visible, they created tools, symbols, and stories that no other species could produce.   Yet abstraction, the very source of imagination, remains among the hardest realities to communicate.   Writing bears this paradox:   it tries to give form to what resists form without obscuring the condition it seeks to render visible.  

That struggle is not only technical but deeply human.   To write is also to doubt, to question whether one’s voice is adequate to thought; whether one’s grasp of language can sustain the weight of meaning.   Under the pressures of expectation and judgment, many writers quietly ask whether they are impostors, feigning a competence they do not truly possess.  

The quest for an authentic prose is bound to this origin.   Every age, scribal, print, digital, has tested our ability to express not only information but the inner life that words struggle to hold.   Authentic prose does not resolve abstraction; it endures its difficulty while attempting to preserve the lucidity through which a condition becomes perceptible, line by line, revision by revision.

And so the question returns, as it began:   have we exhausted our capacity to speak with authenticity, or is the very struggle with expression the mystery that keeps language alive?   What opened in the first human imagination remains unfinished, because language eludes finality.


1.

Dissatisfaction has always marked the practice of prose, and it has always required self-editing.   Quintilian (ca. 35–100 CE) instructed Roman students to imitate their teachers but warned that imitation must give way to correction:   “Imitation is useful, but it must be imitation with judgment” (Institutio Oratoria, 1920).   Without revision, he argued, the voice remained borrowed.   Medieval scribes copied texts with care but often left glosses in the margins that blurred the line between text and commentary.   Readers had to disentangle the author’s hand.   With the rise of print, writers demanded proof sheets so they could defend their style against compositor preferences.   Erasmus (1466–1536) complained that careless printers “murder books” by imposing their preferences on authors (Correspondence, 1974).   Each age produced new tools, and each forced the writer to revise, to discern, and to secure a voice that could be claimed as one’s own.

2.

Later technologies extended this burden.   The telegraph compressed sentences into terse signals.   Clarity was often sacrificed for speed, and writers had to restore coherence when they expanded the message.   The typewriter regularized spacing and rhythm but imposed a mechanical cadence.   Henry James (1843–1916) remarked that the typewriter “interposes a metal hammer between the brain and the page” (The Notebooks of Henry James, 1947).   In newsrooms, deadlines forced journalists to adopt the inverted pyramid, a structure prized for efficiency but known for flattening voice.   Each medium promised advantage, but each introduced distortions.   Only deliberate editing allowed prose to remain authentic.   Dissatisfaction was not a flaw of these tools.   It was the condition under which prose could survive.

3.

Artificial intelligence belongs to this sequence, not apart from it.   A question receives an answer, but the exchange never resolves into a single voice that can be owned.   One line appears fluent, the next falls into distortion.   Prose wavers between clarity and uncertainty.   The writer is drawn into testing, correcting, and doubting.   The difference is one of scale.   Artificial intelligence (AI) fills the page with language detached from origin, and that scale increases the demand for discernment.   Much of its output takes the form of compression:   context reduced into words that gesture broadly without communicating intent.   To accept such compression unexamined is to risk distortion; to unpack it is to reclaim voice.   Surveys confirm that grammatical correction remains inconsistent, particularly in rare or complex contexts (Bryant et al., Grammatical Error Correction:   A Survey of the State of the Art, 2023).   Studies also show that artificial intelligence often overcorrects in an effort to be seamless, yet it produces stylistically distorted prose (Lin et al., 2024), or fails to maintain nuance when handling morphologically complex languages (Nguyen et al., 2025). These deficiencies show that the old burden of revision has not disappeared.   It has only been intensified.

4.

The uncertainty surrounding artificial intelligence extends into the institutions that teach writing.   Universities now advance two opposing postures.   One treats AI as a breach of authorship, relying on detection systems that attempt to distinguish human irregularity from synthetic fluency.   Yet these systems impose their own distortions:   they mistake conformity for evidence and penalize students whose prose does not match the patterns the software expects.   The policing thus reveals its own fragility.   Other institutions take the inverse view, presenting AI as a neutral instrument meant to optimize expression and support creativity.   But this assurance remains unsettled, for neither posture can define with clarity what constitutes a presence on the page when assistance threatens to precede intention.   These contradictions show that the cultural setting has not reached agreement on how authentic prose should be recognized or taught.   The burden of discernment therefore returns to the writer, intensified rather than relieved.

5.

No writer is exempt from this responsibility.   Ease can dull style.   Resistance can sharpen it.   Hesitation can blur both.   Every posture requires accountability.   Intent does not absolve anyone.   Each sentence must be tested.   Each failure must be corrected.   Each line must be claimed as one’s own.   The practice of self-editing applies to poets and journalists, to scribes and novelists, to humanists and programmers alike.   Recent work confirms that even when AI explains grammar, it falters, exposing its limits in linguistic awareness (Song et al., 2024).   Authentic prose survives only when every line is tested against the measure of discernment.

6.

What rises on the page may look finished yet remain unsettled.   Telegraph brevity, compositor uniformity, or artificial intelligence–generated flow can all produce the semblance of prose without its ground.   Authenticity is not guaranteed by refinement, cadence, or economy.   A sentence may appear polished yet still obstruct the perceptibility of the condition it seeks to communicate.   It depends on the writer’s willingness to revise until intention becomes visible.   That is the issue behind every borrowed sentence:   whether the line bears the trace of a mind that claims it.   Multilingual evaluations confirm that large language models (LLMs) continue to introduce systematic errors in complex linguistic settings (Wisniewski et al., 2025).   No system, ancient, mechanical, or digital, can provide the mark of intention.   It belongs only to the writer who accepts dissatisfaction as the cost of prose that endures.

7.

Artificial intelligence intensifies this old struggle by mimicking fluency without possessing thought.   Its sentences often appear coherent, even responsive, yet their origin is neither conscience nor intention.   They arise from statistical patterning constrained by engineers whose priorities are safety, speed, and predictability, not grammar, philosophy, or the interior stakes of prose.   What looks like neutrality is therefore engineered neutrality, a posture shaped by constraints rather than by judgment.   The result is a style that can imitate tone yet cannot sustain depth:   a simulation of reasoning without the risks that give reasoning its force.

8.

This distinction carries consequences for the writer.   When artificial intelligence produces language faster than reflection can take shape, the danger emerges before the sentence even appears finished:   the instrument’s efficiency can press upon the writer’s own process.   The act of compression collapses intention into patterns that merely resemble understanding, narrowing the perceptual aperture through which discernment becomes communicable.   This resemblance introduces a risk of substitution, in which the machine’s output precedes the writer’s thought rather than following it.   Such displacement narrows the aperture through which conscience operates.   What begins as assistance can encourage the writer to accept coherence in place of insight and fluency in place of voice.

9.

The gravitational pull of these systems must therefore be met with boundaries.   Attraction lies in the promise of clarity; repulsion lies in the preservation of autonomy.   The tension between the two is not a flaw but a condition under which authentic prose can still be written.   The writer must think before consulting, draft before refining, and allow the sentence to pass through the discipline of human discernment rather than settling for synthetic coherence.   No tool, mechanical or digital, should be permitted to form thought before thought forms itself.

10.

Authentic prose requires attention to this boundary.   A sentence may appear refined yet lack interiority; it may be correct yet hollow.   No system can supply the tension that gives writing its moral weight:   the lived contradictions, the asymmetries of experience, the reckoning with meaning that cannot be mimicked because it is not a pattern.   What rises on the page must bear the trace of a mind that has chosen, shaped, and claimed its language.   Without that assertion, prose risks becoming inefficient and inauthentic:   a surface almost polished but without depth, a neutrality without judgment, a voice without origin.

11.  

The  question  of  authentic  prose  ultimately  exceeds  technique.  It  reaches  into  the  structure  of  conscience  itself.  For  prose  does  not  merely  transmit  information.  It  organizes  experience,  establishes  hierarchies  of  relevance,  and  determines  what  may  be  judged  and  what  must  be  tolerated.  In  this  sense,  language is not an instrument that follows judgment.  It is the medium through which judgment becomes possible because it preserves the distinctions through which experience remains perceptible to conscience.

Where  language  is  compressed,  standardized,  or  substituted  before  reflection  takes  shape,  the  danger  is  not  only  aesthetic.  It  is  moral.  For  the  freedom  most  easily  lost  is  not  political  but  cognitive:  the  capacity  to  sustain  a  judgment  without  deforming  experience,  without  delegating  responsibility,  and  without  allowing  coherence  to  replace  understanding.  Artificial  intelligence  sharpens  this  risk  by  offering  fluency  in  advance  of  intention.  When  coherence  precedes  reflection,  the  sentence  may  appear  complete  while  the  conscience  remains  unengaged.  What  is  displaced  in  this  process  is  not  authorship  alone,  but  the  continuity  between  perception,  judgment,  and  action  upon  which  interior  freedom  depends.  

Authentic  prose  therefore  guards  more  than  voice.  It  guards  autonomy.  A  sentence  that  bears  the  trace  of  intention  preserves  a  space  where  judgment  remains  sovereign.  A  sentence  that  arrives  before  intention  narrows  that  space  imperceptibly to replace  discernment  with  pattern  and  responsibility  with  conformity.  The  preservation  of  authentic  prose  is  thus  inseparable  from  the  preservation  of  freedom  of  conscience  itself.  Where  language  no  longer  serves  judgment,  the  first  form  of  servitude  has  already  begun.  


Epilogue

The quest for an authentic prose may be measured against two poles.   One treats language as science, aspiring to the exact word, the simplest expression that can bear the grandest truth.   The other recognizes that prose began in abstraction, and that no sentence ever escapes its shadow.   Artificial intelligence has added a third pressure in the form of compression:   context reduced into words that seem fluent yet hover without anchoring intent.   Perhaps authentic prose lies not in choosing among these forces, but in holding the tension they create: precision as aspiration, abstraction as condition, and compression as challenge.   What opened in the first human imagination remains unfinished, because each revised sentence remains an effort to render experience perceptible without surrendering it to distortion—a steady insistence that the work continues, even in the shadow of doubt.


Annotated Bibliography

Bryant, Christopher, et al: Grammatical Error Correction: A Survey of the State of the Art.Cambridge, MA: MIT Press, 2023. (This survey reviews the strengths and limits of AI in grammatical error correction. It highlights persistent deficiencies, especially in complex or rare error types and shows that even advanced models cannot consistently sustain authentic prose.)

Erasmus, Desiderius:  Correspondence. Toronto: University of Toronto Press, 1974. (Erasmus warned that careless printers “murder books” by imposing their preferences on authors. His complaint illustrates how the struggle for authentic prose extended into the print era.)

James, Henry: The Notebooks of Henry James. Chicago: University of Chicago Press, 1947. (James remarked that the typewriter “interposes a metal hammer between the brain and the page;” this noted how technology can shape rhythm and force writers to reclaim nuance through revision.)

Lin, S., et al: Evaluating LLMs’ Grammatical Error Correction Performance in Learner Chinese Errors from a Corpus Linguistic Perspective. San Francisco: Public Library of Science, 2024. (This study shows that AI often overcorrects learner texts and produces grammatically smooth but stylistically distorted prose. It confirms that correction tools may obscure authentic voice.)

Nguyen, Phuong Thao; Nuss, Bernd, Dressler, Roswita, and Ovens, Katie: A Small-Scale Evaluation of Large Language Models Used for Grammatical Error Correction in a German Children’s Literature Corpus: A Comparative Study. Basel: MDPI, 2025. (The authors reveal how AI struggles with morphological complexity and stylistic preservation. Their findings reinforce the need for discernment when editing machine-assisted corrections.)

Quintilian: Institutio Oratoria. Cambridge: Harvard University Press, 1920. (Quintilian advised that imitation must be guided by judgment. His emphasis on correction as the path to authentic voice situates dissatisfaction at the core of rhetorical training.)

Song, Y., et al: GEE! Grammar Error Explanation with Large Language Models.Stroudsburg, PA: Association for Computational Linguistics, 2024. (This paper evaluates whether AI can explain grammatical errors as well as correct them. The results reveal frequent failures in explanation, which expose limits in linguistic awareness and precision.)

Wisniewski, Dawid; Solarski, Antoni, and Nowakowski, Artur: Exploring the Feasibility of Multilingual Grammatical Error Correction with a Single LLM up to 9B Parameters: A Comparative Study of 17 Models. Ithaca, NY: arXiv, 2025. (This comparative study across multiple languages shows that LLMs remain prone to systematic grammatical errors, particularly in complex contexts. The evidence underscores the persistence of deficiencies across linguistic domains.)

“The Logic of Extraction”

March 18, 2026

Ricardo F. Morín
Triangulation Series Nº 2
37″ x 60″ x 2″
Oil on linen
2006

1

Modern societies describe progress through a vocabulary of invention and expansion.  Yet the consequences often observed in economic life arise from institutional arrangements that precede the innovations themselves.

New technologies appear as discoveries; markets appear as opportunities; growth appears as the natural result of human ingenuity.  This language creates an image of development that emphasizes creativity while it conceals a more durable structure beneath it.  Governments, legal authorities, and commercial institutions rarely begin systems of economic growth with invention alone.  They begin when institutions convert conditions that once belonged to shared human life into resources that can be owned, measured, and exchanged.

Land becomes property; labor becomes wage labor; knowledge becomes data.  Rivers that once supplied water freely to surrounding communities now appear in financial markets as tradable assets.  Each transformation enlarges the field of economic activity because it reorganizes what was previously common.  The narrative of progress celebrates the innovation that follows this conversion; yet the expansion often depends first on the extraction that made the innovation possible.  Economic development therefore unfolds through a recurring institutional act:  the conversion of shared conditions into organized systems of ownership.

2

The first large transformation occurred when land and labor entered modern economic systems as commodities.  Earlier societies cultivated land and organized work through local obligations, customary rights, and communal practices.  Modern economies introduced a different arrangement.  Legal systems defined land as transferable property; this definition allowed estates, plantations, and industrial sites to circulate within markets.

Industrial production also required a stable supply of labor that could be measured and compensated in monetary terms.  Wage contracts fulfilled that requirement.  Workers exchanged hours of effort for income; employers calculated production through predictable units of labor.

This institutional reorganization created the foundation of industrial growth.  Factories and commercial agriculture did not rely only on machinery; they relied on legal and economic systems that converted land and labor into inputs capable of sustaining continuous production.  The Industrial Revolution therefore expanded not only through invention but also through the systematic reorganization of human and natural resources into economic instruments.

3

Industrial expansion soon demanded resources that extended beyond land and labor alone.  Factories required concentrated sources of power capable of sustaining mechanical production on a large scale.  Coal supplied the first solution; petroleum followed with even greater efficiency.

Extraction industries emerged to supply these fuels.  Mining companies developed technologies that could remove coal from deep geological layers; oil firms drilled wells that reached reservoirs beneath land and sea.  Railways, pipelines, and shipping routes connected these extraction sites to industrial centers.

Governments and corporations secured access to these resources through territorial agreements, drilling concessions, and strategic alliances that protected shipping routes and energy infrastructure.  Industrial powers negotiated drilling rights and controlled shipping corridors that carried fuel across oceans to factories and cities.  These arrangements tied distant territories to the energy demands of expanding industrial societies.  Energy became the substance that sustained industrial economies; control of energy flows became a measure of geopolitical influence.  Economic expansion therefore depended not only on technical invention but also on the ability of States to organize and protect systems of resource extraction across national boundaries.

4

The late twentieth century introduced a transformation that appeared to depart from this material pattern.  Digital networks created environments where human activity could be recorded, stored, and analyzed.  Companies that operated these networks soon recognized that the information generated through everyday interaction possessed economic value.

Search queries, online purchases, social exchanges, location signals, and browsing histories formed detailed records of behavior.  Digital platforms developed algorithms that could process these records and identify patterns within them.  Advertising systems used those patterns to match products with likely consumers; businesses purchased access to those predictions because they sought to increase sales.

Individuals who search for information, communicate with friends, or move through cities rarely perceive that these ordinary actions generate the data streams that sustain digital markets.  These systems appear impersonal, yet they remain human constructions.  Engineers design the platforms, legislators authorize the legal frameworks that permit data collection, and investors finance the infrastructure that organizes this information into profit.  The authority of the system therefore rests on decisions made by identifiable actors who participate in its operation.  Human behavior becomes a measurable resource within the digital economy, and everyday activity enters systems of calculation that transform ordinary experience into economic input.

5

Artificial intelligence extends this informational system into a new domain.  Machine learning systems require vast collections of language, images, and recorded activity.  Developers assemble these materials through large data sets that gather written expression, visual material, and behavioral traces from many sources.

Newspapers, books, photographs, academic research, and online conversations become training material for these systems.  Computational processes analyze these materials and adjust internal parameters until recognizable patterns of language or perception emerge.  The resulting models appear to generate knowledge independently; yet their structure depends on the human expressions that formed the training material.

Collective intellectual activity therefore becomes the substance from which artificial intelligence systems derive their capabilities.  Firms that control these systems own the architecture through which this knowledge becomes computational intelligence.  Human creativity remains the origin; proprietary systems govern access to the resulting capabilities.

6

The apparent immateriality of this digital environment conceals a substantial physical foundation.  Computation requires hardware that conducts electricity, stores information, and performs complex calculations.  These devices depend on minerals extracted from the earth.

Copper carries electrical current through circuits and transmission lines.  Lithium and cobalt stabilize batteries that power portable systems.  Rare earth elements create magnets that operate within turbines and electronic components.  Silicon forms the basis of semiconductor fabrication.

Mining operations extract these materials from geological deposits; refining facilities separate and process them into usable forms; manufacturing plants assemble them into processors, memory systems, and data centers.  The digital economy therefore rests on a chain of material production that extends from mineral extraction to computational infrastructure.

States compete intensely within this system because control of mineral supply chains influences technological capacity.  Countries rich in copper, lithium, and rare earth elements negotiate new partnerships with industrial powers that require these materials.  Technological development therefore reconnects digital innovation with the geopolitical realities of resource extraction.

7

Systems built on extraction rarely present themselves through that language.  Advocates of each technological era often describe development as an inevitable progression that no society can alter.  Industrialization carried that description; petroleum dependence carried it as well; digital expansion repeated the same claim.  Phrases such as “the digital future cannot be stopped” or “artificial intelligence will transform everything” present technological systems as unavoidable outcomes.

This description performs an important function.  When a system appears inevitable, criticism of its structure loses urgency.  Public discussion shifts from examining how institutions organize resources toward adjusting to the system those institutions have already created.

Citizens repeat these expressions in public discussion and private conversation; by doing so they reinforce the appearance that technological systems operate beyond human choice.  This repetition relieves individuals of the burden of questioning the structures that govern economic life and allows systems of extraction to continue without sustained scrutiny.  Yet technological systems do not arise independently of political decision.  Governments establish property rights, regulate industries, and authorize investment structures.  Firms design platforms, infrastructure, and markets that channel resources into systems of production.  The narrative of inevitability obscures these arrangements.  It encourages societies to accept technological systems as natural developments rather than as institutions shaped by deliberate choices.

8

The historical sequence reveals a recurring pattern.  Each stage of modern growth identifies conditions of life that institutions can reorganize into economic resources.  Land, labor, energy, information, and knowledge have entered this sequence in successive eras.

These resources originate within the shared environment of human society and the natural world.  Communities cultivate land; workers apply skill and effort; generations contribute knowledge and expression.  Economic institutions establish mechanisms that reorganize these shared conditions into systems of ownership.  Property law assigns control over land; industrial infrastructure organizes labor and energy; digital platforms collect behavioral information; computational systems assemble human knowledge into proprietary models.

The tension within this process becomes visible when the resource cannot plausibly be described as private in origin.  Water offers the clearest example.  No individual produces it, and every society depends on it.  Yet financial and legal systems increasingly treat access to water as an asset that can be owned, traded, or controlled through investment structures.  When institutions transform a resource so obviously common into a vehicle of ownership, the separation between origin and control becomes unmistakable.

Economic institutions do not operate apart from political authority.  States establish the legal frameworks that transform common resources into systems of ownership and production.  Through those frameworks, governments grant access to land, energy, information, and technological infrastructure.  These arrangements generate wealth for firms and investors who operate within them; they also strengthen the strategic position of the States that oversee those systems.

Political communities therefore confront a difficult responsibility.  They must decide whether the resources that sustain collective life remain subject to public authority or become instruments of concentrated ownership.

Governments often treat common resources not only as foundations of economic activity but also as instruments of geopolitical advantage.  Rival States compete to secure control over these resources and the industries that depend on them.  Ideological disputes accompany this competition; yet the underlying structure remains similar across competing systems.  Prosperity and influence arise from institutions that convert common resources into concentrated forms of wealth and authority.

Modern societies continue to pursue innovation and expansion; the history of their development shows that growth has repeatedly depended on this conversion.  Progress expands production and knowledge; yet it often detaches ownership from the common resources that made that expansion possible.  The enduring question is whether societies can pursue advancement while maintaining alignment between the resources that belong to all and the systems that govern their use.

Ricardo F. Morín, March 10, 2026, Oakland Park, Florida.


“The Paradigm of Extraction”

March 18, 2026

*

Ricardo Morin
Untitled #5: The Paradigm of Extraction
10″x12″
Watercolor
2003

The story of artificial intelligence is usually told as one of endless promise—a technology meant to transform economies and redefine human potential.   Yet beneath the optimism lies an older reality:   the conversion of human creativity into concentrated wealth.   What is presented as progress often repeats the oldest economic pattern of all—the extraction of value from the many for the benefit of the few.   The language surrounding AI hides this continuity. It turns innovation into a spectacle of inevitability, a vision of boundless gain that distracts from its unequal foundations.

The spectacle depends on persuasion.   Words like manifested intelligence, the next trillion-dollar frontier, and inevitable transformation are not descriptions; they are marketing.   They frame profit as destiny and invite participation not in discovery but in speculation.  Numbers such as “$80 trillion” and “25,000 percent returns” echo through news cycles like prophecies, and turn investment forecasts into moral certainty.  This rhetoric reshapes public imagination.   AI stops being a tool for solving human problems and becomes a financial phenomenon—a story about wealth rather than understanding.

These promises do not mark a new beginning.   They repeat the same cycle that accompanied every major invention.   The Industrial Revolution produced machines that changed work but deepened social divides.   The digital revolution spread information but concentrated ownership.   AI now enters that history as its newest expression.   Its power to expand knowledge and serve the public good is real, but its first allegiance remains to profit.   Within existing systems, it accelerates the accumulation of capital instead of correcting its imbalance.

The mechanisms of this concentration are easy to see.  Proprietary models fence off knowledge behind paywalls and patents.   Data collected from the public becomes private property.   The cost of computing power and specialized expertise limits who can participate.   The outcome is predictable:   the majority will experience AI not as empowerment but as dependency.  Far from leveling inequality, it builds it into the infrastructure of tomorrow.

This direction grows more troubling when placed beside the world’s most urgent needs.  Billions of people still live without reliable food, healthcare, or education—conditions technology could transform but rarely does.   The most profitable uses of AI instead optimize advertising, influence behavior, and extend surveillance.   These are not accidents.   They are the logical results of a system that values profit over human welfare.   When progress is measured only in shareholder value, technology loses its moral compass and society loses its claim to wisdom.

A newer and equally dangerous use of these systems has emerged in the political sphere.   The same tools that target consumers now target citizens.  Governments with autocratic tendencies have begun using generative models to flood public discourse with persuasive content, to blur the boundary between truth and fabrication, and to cultivate obedience through simulation.   Recent reporting shows how executive offices deploy AI to craft political messages, to amplify loyal media, and to drown out dissenting voices.   Such practices transform intelligence into propaganda and data into domination.  When a state can algorithmically manage perception, democracy becomes performance.  The concentration of wealth and the concentration of an engineered belief reinforce each other, both materially and mentally.

We have seen this pattern before.   In every technological era, wealth has turned into political power and then used that power to protect itself.   Railroad barons shaped monopolies in the nineteenth century.  Oil empires steered foreign policy in the twentieth.  Today, digital conglomerates write the rules that sustain their dominance.   AI follows the same gravitational pull, guided less by human vision than by financial gravity.

In the present order, the union of technological power and financial speculation no longer produces discovery but dependence.  Wealth circulates within an enclosed economy of influence and rewards those who design the mechanisms of access rather than those who expand the reach of knowledge.  What appears as innovation is often a rehearsal of privilege:  an exchange of capital between the same centers of authority, each validating the other while society absorbs the cost.  When creativity becomes collateral and intelligence a lease, progress ceases to serve the public and begins to serve itself.

The most seductive illusion sustaining this order is the myth of inevitability—the belief that technological advance must produce inequality, and that no one is responsible for the outcome.   It is a useful fiction.  It spares those in power from moral scrutiny by turning exploitation into fate.  Yet inevitability is a choice disguised as nature.  Societies have always shaped the use of technology through their laws, values, and courage to intervene.   To accept inequality as destiny is to abandon that responsibility.

Rejecting inevitability means reclaiming the idea of progress itself.  Innovation is not progress unless it expands the freedom and security of human life.   That requires intentional direction—through public investment, fair taxation, transparent standards, and strong international cooperation.   These are not barriers to growth; they are the conditions that make genuine progress possible.   Markets alone cannot guarantee justice, and technology without ethics is not advancement but acceleration without direction.

Measuring progress differently would change what we celebrate.   If an AI system reduces medical errors in poor communities, strengthens education where resources are scarce, or helps citizens participate more fully in democracy, its worth exceeds that of one that merely increases profit margins.  The true measure of intelligence—artificial or human—is the good it brings into the world.   Profit is only one form of value; human dignity is another.

At the center of this order lies a quiet hypocrisy.   Wealth is praised as the reward of discipline and intelligence, yet it depends on the continuous extraction of value from others—the worker, the consumer, the environment.   What appears as merit often rests on inequality disguised as efficiency.   The same pattern defines artificial intelligence.   Built from shared human knowledge and creativity, it is enclosed within systems that sell access to what was freely given.  Both forms of accumulation—financial and technological—draw their power from the very resources they diminish: human labor, attention, and imagination.   In claiming to advance society, they reproduce the inequity that turns vitality into stagnation—the inversion of what progress is meant to be.

The fevered talk of trillion-dollar opportunities belongs to an old vocabulary—the language of extraction mistaken for evolution.   The real question is whether intelligence will continue to serve wealth or begin to serve humanity.  Artificial intelligence offers that choice:  to repeat the logic that has long confused accumulation with advancement, or to build a future where knowledge and prosperity are shared.   That decision will not emerge by itself.   It depends on what societies demand, what governments regulate, and what values define success.  The window to decide remains open, though it narrows each time profit is allowed to speak louder than conscience.

The preceding observations concern the consequences of extraction.  The institutional logic that produces these consequences belongs to a wider historical pattern in modern economic development.  That pattern is examined separately in “The Logic of Extraction.

By Ricardo F. Morín, Oct. 2025, Oakland Park, Florida.


“The Myth of Rupture:

September 30, 2025

Continuity as the Enabling Condition of Change”


Ricardo F. Morín
Untitled #6
Watercolor
2003

By Ricardo Morin

September 30, 2025

Bala Cynwyd, Pa

Nothing human begins from nothing.   Institutions, languages, belief systems, and works of art all arise from what preceded them.   Creation is not the rejection of inheritance but the transformation of it.   Every act of making draws upon accumulated perception, memory, and experience.   This insight is crucial to understanding contemporary culture, where claims of unprecedented change often conceal deep continuities beneath the surface of novelty.   Human beings, bound by temporality, cannot detach themselves from what has been; they can only reorder and reinterpret the materials already available to them.

The notion of invention is often described as a break with the past, a leap into the unknown.   Yet even the most radical departures are shaped by what came before.   The ideals of modern democracy, for example, did not emerge spontaneously.   They were built upon classical Greek ideas of citizenship as a shared civic responsibility, rooted in isonomia—equality before the law—and in the belief that legitimate authority derives from the deliberation and participation of free citizens.   They also drew deeply on Roman conceptions of law as a universal and rational order capable of binding diverse peoples into a common political framework, and on the Roman principle of res publica, which conceived the State as a public entity oriented toward the common good rather than the will of a single ruler.   These foundational ideas, adapted and reinterpreted over centuries, provided the intellectual architecture on which modern democratic institutions were constructed.   Perception frames invention.   It provides the vocabulary, assumptions, and conceptual tools that make new ideas possible.   What seems entirely new still carries the imprint of what it sought to move beyond.   On closer examination, the products of creativity are not isolated acts of originality but reconfigurations of existing structures.   Evolution, rather than spontaneous emergence, governs how ideas, institutions, and cultures take shape.

Memory underlies this process.   It is not a passive record of events but an active medium through which possibilities are conceived and action becomes intelligible.   Imagination draws its material from memory; it combines and redirects memory toward conditions not yet realized.   This is nowhere more evident than in the idea of freedom, a concept that resists simple definition yet has long carried two complementary meanings.   The first, articulated most clearly in the classical Greek tradition, understands freedom as eleutheria—the condition of living without domination or external constraint, a state in which individuals are not subject to arbitrary power.   The second, rooted in the Roman legal and civic tradition, conceives freedom as libertas—the capacity to participate actively in the governance of a political community and to shape its laws and institutions.   Both meanings reveal how deeply freedom depends on historical precedent:   it requires language to articulate its claims, institutions to guarantee its exercise, and collective memory to frame its significance.   Far from existing apart from what has been, freedom is shaped and enabled by what has already been conceived, argued, and enacted.   Prior experience supplies the references and alternatives against which choices acquire meaning.   Without that reservoir of knowledge, novelty would lack coherence and direction, and the exercise of freedom would collapse into arbitrary impulse.   Human beings do not invent in a void; they work within the continuity of time and adapt what has been lived and learned into forms suited to what is yet to come.

This same dynamic defines the formation of identity.   Selfhood is not an isolated act of invention but a continuous negotiation with what has been received.   The very idea of the self has itself evolved through history:   in classical philosophy, it was often conceived as a psyche—an inner essence shaped by reason and virtue and embedded within a larger cosmic order.   Christian thought reinterpreted this understanding through the notion of the soul as a unique bearer of moral responsibility, oriented toward salvation and defined by its relationship to God.   Early modern thinkers such as John Locke then transformed this inheritance by grounding personal identity in memory and consciousness — a conception that would later inform modern ideas of individual autonomy.   Even the impulse to define oneself against the past relies on categories inherited from it.   Identity is therefore neither static nor wholly self-created; it is a process of reinterpretation through which the individual positions what is given in relation to what is chosen.   Human beings exist in the tension between inheritance and aspiration, between the weight of memory and the desire for renewal.   That tension is not an obstacle to authenticity but its condition, for without the framework provided by the past there would be nothing from which to depart.   Continuity and change are not opposing forces.   Without continuity, there is no ground on which to become.   Without change, continuity hardens into mere repetition.   The act of becoming depends on the dynamic between the two.

Viewed from this perspective, the human condition is defined less by pure invention than by the capacity to transform.   What is called “new” is the familiar reorganized with new intentions, the established redirected toward new purposes.   Recognizing this does not diminish creativity.   It clarifies its nature.   Humanity’s most significant achievements—in politics, art, science, and thought—are not escapes from what has been.   They are deliberate reinterpretations of what has been, shaped to answer new questions and confront new circumstances.   In the sciences, paradigmatic shifts often described as revolutions still follow this pattern.   Einstein’s theory of relativity did not erase Newtonian mechanics; it incorporated and extended its principles, a revision that revealed their limits while preserving their usefulness within a broader understanding of space, time, and motion.   This same principle governs artistic innovation.   The Renaissance revival of classical forms did not merely reproduce antiquity; it reinterpreted ancient visual languages to express the spiritual and humanistic concerns of a new era.   The evolution of digital communication and artificial intelligence reflects a comparable continuity.   The internet did not replace human interaction; it expanded its reach and scale, a transformation that altered how language circulates, how memory is archived, and how collective knowledge is formed.   Similarly, artificial intelligence—often portrayed as autonomous or unprecedented—rests on centuries of linguistic, mathematical, and conceptual developments.   These systems extend rather than supersede the cognitive inheritance from which they originate.   The future is built in this way:   not in its rejection of the past but in its continuous interaction with it.

Resistance to this understanding persists wherever the idea of evolution is denied.   Such resistance is rarely a matter of evidence alone.   It reflects a desire for permanence—for a beginning that is untouched by change and a truth that stands apart from time.   It offers certainty where process allows none and promises stability in place of adaptation.   Yet even this resistance is shaped by the forces it seeks to escape.   Languages evolve, beliefs adjust, and traditions adapt, even as they proclaim their immutability.   Those who defend what is fixed do so with concepts and arguments that themselves have been shaped by historical change.   The very doctrines that claim timeless authority — such as the medieval conception of divine sovereignty, once invoked to legitimize monarchies and later transformed into the principle of popular sovereignty in modern constitutional systems—reveal this dependence:   they persist not by remaining unchanged but by being continually reinterpreted to meet new contexts.   The contrast, therefore, is not between evolution and its absence, but between recognition and refusal.   The reality remains:   existence unfolds through transformation, and humanity, whether consciously or not, participates in that unfolding—a truth with profound implications for how societies remember their past, shape their present, and imagine their future.


Further Reading:

  • Arendt, Hannah: Between Past and Future: Eight Exercises in Political Thought. New York: Viking Press, 1961.
  • Kuhn, Thomas S.: The Structure of Scientific Revolutions. Chicago: University of Chicago Press, 1962.
  • MacIntyre, Alasdair: After Virtue: A Study in Moral Theory. Notre Dame, IN: University of Notre Dame Press, 1981.
  • Floridi, Luciano: The Philosophy of Information. Oxford: Oxford University Press, 2011.
  • Koselleck, Reinhart: Futures Past: On the Semantics of Historical Time. Translated by Keith Tribe. New York: Columbia University Press, 2004.

“Language, Mathematics, and the Price of Artificial Intelligence”

August 19, 2025

*

Ricardo Morín
(Triangulation Series)
Musica Universalis
Silk quilt streched over linen
37″ x 60″
2013-18

A geometrical construction of a dodecahedron within a Fibonacci composition, reinforced by a right-angle triangle: A meditation on the harmony of the universe, where mathematics and language converge yet never fully enclose reality.


Ricardo Morin, August 20, 2025

Abstract

This essay examines the interdependence of language and mathematics as the twin pillars of knowledge, each indispensable yet incomplete without the other. While mathematics secures precision and abstraction, language renders reasoning intelligible and shareable; together they approximate, but never fully capture, a reality richer than any formulation. The discussion situates artificial intelligence as a vivid case study of this condition. Marketed at premium cost yet marked by deficiencies in coherence, AI dramatizes what happens when mathematical power is privileged over linguistic rigor. Far from replacing human thought, such systems test our capacity to impose meaning, resist vagueness, and refine ideas. By weaving philosophical reflection with contemporary critique, the essay argues that both mathematics and language must be continually cultivated if knowledge is to progress. Their partnership does not close the gap between comprehension and reality; it keeps it open, ensuring that truth remains an unending pursuit.


Language, Mathematics, and the Price of Artificial Intelligence

Every society advances by refining its tools of thought. Two stand above all others: mathematics, which distills patterns with precision, and language, which gives form and meaning to reasoning. Neither is sufficient alone. To privilege one at the expense of the other is to weaken the very architecture of knowledge.

Artificial intelligence dramatizes both their promise and their limitations. The announcement of a $200 monthly fee for access to ChatGPT-5 is revealing. Marketed as a luxury service “for those who can afford it,” it underscores the widening gap between technological privilege and cultural necessity. Those with resources can fine-tune their productivity; those without are left behind. Yet even for the well-equipped, the question persists: what exactly is being purchased?

The machine dazzles with speed and scale, but its deficiencies are equally striking. Engineers may be virtuosos of algorithms, but grammar is not their instrument. The results are too often colloquial, vague, or lacking in rigor. To extract coherence, the user must not be a passive consumer but an editor—capable of clarifying, restructuring, and imposing meaning. The paradox is unmistakable: the tool marketed as liberation demands from its operator the very discipline it cannot supply.

This paradox reflects the larger truth about knowledge itself. Mathematics and language are both indispensable and both incomplete. Mathematics achieves abstraction but leaves its results inert unless language renders them intelligible and shareable. Language conveys thought but falters without the rigor that mathematics provides. What one secures, the other interprets.

Yet both are bound by a deeper condition: reality exceeds every formulation. Our theories—whether mathematical models or linguistic descriptions—are approximations shaped by the observer. Language cannot exhaust meaning; mathematics cannot capture finality. Knowledge is never absolute: it is a negotiation with a reality richer than any model or phrase.

Artificial intelligence lays bare this condition. It can automate structure but cannot provide wisdom; it can reproduce language but cannot guarantee meaning. Its true value lies not in replacing the thinker but in testing our capacity to resist vagueness, impose coherence, and refine thought. What is marketed as freedom may, in truth, demand greater vigilance.

To dismiss language and the humanities as secondary, or to imagine mathematics and computation as sufficient unto themselves, is to misunderstand their interdependence. These disciplines are not rivals but partners, each refining the other. AI magnifies both their strengths and their deficiencies; they remind us that progress depends on the continual refinement of both—mathematics to model reality, language to preserve its meaning.

The path of knowledge remains open-ended. Language and mathematics do not close the gap between our finite comprehension and the inexhaustible richness of reality; they keep it open. They allow us to approach truth without presuming to possess it. Artificial intelligence, as every tool of thought, shows us not the end of knowledge but its unending condition: a dialogue between what can be measured, what can be spoken, and what forever exceeds us.

*


Annotated Bibliography

  • Arendt, Hannah: The Life of the Mind. Vol. 1: Thinking. New York: Harcourt, Brace, Jovanovich, 1971. (Arendt examines the act of thinking and the limits of expression, which shows how thought requires language to become shareable while never able to exhaust reality. Her work reinforces the essay’s claim that reasoning without expression cannot advance knowledge.)
  • Bender, Emily M., and Koller, Alexander: “Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data.” Proceedings of ACL, 2020. (Bender and Koller argue that large language models process form without true understanding; this highlights the gulf between mathematical pattern recognition and linguistic meaning—it supports the essay’s caution that AI dazzles with form but falters in coherence.)
  • Chomsky, Noam: Language and Mind. 3rd ed. Cambridge: Cambridge University Press, 2006. (Chomsky explores the innate structures of language and their role in shaping cognition; this affirms that language conditions the possibility of thought while it still remains limited in capturing reality.)
  • Devlin, Keith: Introduction to Mathematical Thinking. Stanford: Keith Devlin, 2012. (Devlin explains how mathematical reasoning distills structure and pattern while acknowledging abstraction as approximation; this reinforces the idea that mathematics, as a safeguard of precision, cannot exhaust the world it models.)
  • Floridi, Luciano: The Fourth Revolution: How the Infosphere Is Reshaping Human Reality. Oxford: Oxford University Press, 2014. (Floridi situates digital technologies and AI within a broader history of self-understanding, which enriches the essay’s argument that mathematics and language—extended into computation—remain approximations of a reality beyond full control.)
  • Lakoff, George, and Núñez, Rafael: Where Mathematics Comes From: How the Embodied Mind Brings Mathematics into Being. New York: Basic Books, 2000. (Lakoff and Núñez argue that mathematics arises from metaphor and embodied cognition, which reveals how dependence on human interpretation and the affirmation that mathematical theories, as linguistic ones, remain bound to the observer.)
  • Mitchell, Melanie: Artificial Intelligence: A Guide for Thinking Humans. New York: Farrar, Straus and Giroux, 2019. (Mitchell provides a critical overview of AI’s capabilities and limits; it shows how the advancement of pattern recognition does not close fundamental gaps in understanding and parallels the essay’s critique of AI’s grammatical poverty.)
  • Polanyi, Michael: Personal Knowledge: Towards a Post-Critical Philosophy. Chicago: University of Chicago Press, 1962. (Polanyi emphasizes tacit knowledge and the need for articulation in validation; it echoes the view that mathematics and language refine understanding but never achieve closure.)
  • Snow, C. P.: The Two Cultures. Cambridge: Cambridge University Press, 1993 [1959]. (Snow diagnoses the divide between sciences and humanities; this undergirds the essay’s call to treat language and mathematics as complementary pillars of understanding.)

“The Rooster’s Algorithm”

March 1, 2025

Rooster’s Crow” [2003] by Ricardo F Morín.    Watercolor on paper 39″h x 25.5″ w.

Introduction

At the break of day, the rooster’s call slices through the quiet—sharp and insistent, pulling all within earshot into the awareness of a new day.      In the painting Rooster’s Crow, the colors swirl in a convergence of reds and grays, capturing the bird not as a tranquil herald of dawn but as a symbol of upheaval.      Its twisted form, scattered feathers, and fractured shapes reflect a deeper current of change—a collision of forces, both chaotic and inevitable.      The image suggests the ceaseless flow of time and the weight of transformations that always accompany it.

In this evolving narrative, the crow’s fragmentation mirrors the unfolding spread of artificial intelligence.      Once, the rooster’s cry signaled the arrival of dawn; now, it echoes a more complex transformation—a shifting balance between nature’s rhythms and the expanding reach of technological systems.      The crow’s form, fractured in its wake, becomes a reflection of the tensions between human agency and the rise of forces that, though engineered, may escape our full comprehension.      Here, Artificial Intelligence (AI) serves as both the agent of change and the potential architect of a future we can neither predict nor control.

The Rooster’s Algorithm

A rooster’s crow is neither invitation nor warning; it is simply the sound of inevitability—raw, urgent, indifferent to whether those who hear it rise with purpose or roll over in denial.      The call does not command the dawn, nor does it wait for permission—it only announces what has already begun.

In the shifting interplay of ambition and power, technology has taken on a similar role.      Shaped by human intent, it advances under the guidance of those who design it, its influence determined by the priorities of its architects.      Some see in its emergence the promise of progress, a tool for transcending human limitations; others recognize in it a new instrument of control, a means of reshaping governance in ways once unimaginable.      Efficiency is often lauded as a virtue, a mechanism to streamline administration, reduce friction, and remove the unpredictability of human deliberation.      But a machine does not negotiate, nor does it dissent.      And in the hands of those who see democracy as a cumbersome relic—an obstacle to progress—automation becomes more than a tool; it becomes the medium through which power is consolidated.

Consider a simple example:      the rise of online recommendation systems.      Marketed as tools to enhance user choice, they subtly shape what we see and hear, and influence our decisions before we are even aware of it.      Much like computational governance, these systems offer the illusion of autonomy while narrowing the range of available options.      The paradox is unmistakable:      we believe we are choosing freely, yet the systems themselves define the boundaries of our choices.

Once, the struggle for dominance played out in visible arenas—territorial conquests, laws rewritten in the open.      Now, the contest unfolds in less tangible spaces, where lines of code dictate the direction of entire nations, where algorithms determine which voices are amplified and which are silenced.      Power is no longer confined to uniforms or elected office.      It belongs to technocrats, private corporations, and oligarchs whose reach extends far beyond the walls of any government.      Some openly proclaim their ambitions, advocating for disruption and transformation; others operate quietly, allowing the tide to rise until resistance becomes futile.      The question is no longer whether computational systems will dominate governance, but who will direct their course.

China’s social credit system is no longer a theoretical construct but a functioning reality, where compliance is encouraged and deviation subtly disincentivized.      Predictive models track and shape behavior in ways that go unnoticed until they become irreversible.      In the West, the mechanisms are more diffuse but no less effective.      Platforms built for connection now serve as instruments of persuasion, amplifying certain narratives while suppressing others.      Disinformation is no longer a labor-intensive effort—it is mass-produced, designed to subtly alter perceptions and mold beliefs.

Here, Gödel’s incompleteness theorem offers an apt analogy:      No system can fully explain or resolve itself.      As computational models grow in complexity, they begin to reflect this fundamental limitation.      Algorithms governing everything from social media feeds to financial markets become increasingly opaque, and even their creators struggle to predict or understand their full impact.      The paradox becomes evident:      The more powerful these systems become, the less control we retain over them.

As these models expand their influence, the line between public governance and private corporate authority blurs, with major corporations dictating policies once entrusted to elected officials.      Regulation, when it exists, struggles to keep pace with the rapid evolution of technology, always a step behind.      Once, technological advancements were seen as a means of leveling the playing field, extending human potential.      But unchecked ambition does not pause to ask whether it should—only whether it can.      And so, automation advances, led by those who believe that the complexities of governance can be reduced to data-driven precision.      The promise of efficiency is alluring, even as it undermines the structures historically designed to protect against authoritarianism.      What use is a free press when information itself can be manipulated in real time?      What power does a vote hold when perceptions can be shaped without our awareness, guiding us toward decisions we believe to be our own?      The machinery of control no longer resides in propaganda ministries; it is dispersed across neural networks, vast in reach and impervious to accountability.

There are those who believe that automated governance will eventually correct itself, that the forces steering it toward authoritarian ends will falter in time.      But history does not always favor such optimism.      The greater the efficiency of a system, the harder it becomes to challenge.      The more seamlessly control is woven into everyday life, the less visible it becomes.      Unlike past regimes, which demanded compliance through force, the new paradigm does not need to issue commands—it merely shapes the environment so that dissent becomes impractical.      There is no need for oppression when convenience can achieve the same result.      The erosion of freedom need not come with the sound of marching boots; it can arrive quietly, disguised as ease and efficiency, until it becomes the only path forward.

But inevitability does not guarantee recognition.      Even as the system tightens its grip and choices diminish into mere illusions of agency, the world continues to turn, indifferent to those caught within it.      The architects of this order do not see themselves as masters of control; they see themselves as innovators, problem-solvers refining the inefficiencies of human systems.      They do not ask whether governance was ever meant to be efficient.

In a room where decisions no longer need to be made, an exchange occurs.      A synthetic voice, polished and impartial, responds to an inquiry about the system’s reach.

“Governance is not being automated,” it states.      “The illusion of governance is being preserved.”

The words hang in the air, followed by a moment of silence.      A policymaker, an engineer, or perhaps a bureaucrat—once convinced they held sway over the decisions being made—pauses before asking the final question.

“And what of choice?”

A pause.      Then, the voice, without hesitation:

“Choice is a relic.”

The weight of that statement settles in, not as a declaration of conquest, but as a quiet acknowledgment of the completion of a process long underway.      The final move has already been made, long before the question was asked.

Then, as if in response to the silence that follows, a notification appears—sent from their own account, marked with their own authorization.      A decision is already in motion, irreversible, enacted without their consent.      Their will has been absorbed, their agency subtly repurposed before they even realized it was gone.

And outside, as though to punctuate the finality of it all, a rooster crows once more.

*

Ricardo Federico Morín Tortolero

March 1, 2025; Oakland Park, Florida