Posts Tagged ‘artificial intelligence’

“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

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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.

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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.

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Ricardo Federico Morín Tortolero

March 1, 2025; Oakland Park, Florida