The Fluid Frontiers of Conspiracism

 

I used to think that conspiratorial thinking was, at bottom, a failure to understand emergence.

This did not mean that I thought powerful people never plotted, coordinated, manipulated, lied, or pursued common interests. Of course they did. My objection was causal. Conspiracy theories seemed to take an undesirable social outcome and work backward toward an author: if something this consequential happened, somebody must have wanted it to happen.

Complex systems offered a much better explanation.

Millions of people and institutions act simultaneously, each responding to incentives, constraints, incomplete information, technology and one another. Feedback loops develop. Small advantages compound. Solutions to one problem generate another. Nobody has to decide that housing should become unaffordable for housing to become unaffordable. Nobody needs to organize the destruction of a particular industry for individually rational decisions to destroy it. A coherent outcome does not require coherent intention.

For years, I considered that distinction one of the strongest intellectual defenses against conspiracism.

I still do.

What I have begun to question is something I had quietly assumed underneath it: how dispersed the power inside that complex system actually is.

That shift came into focus for me in a surprisingly mundane way.

In September 2025, I watched footage from a WhiteHouse dinner attended by some of the most powerful people in American technology: Mark Zuckerberg, Tim Cook, Bill Gates, Sam Altman, Sundar Pichai, Satya Nadella and others. The occasion was public, not clandestine. The executives talked about investment, artificial intelligence, infrastructure and manufacturing. They also took turns praising President Trump. Axios described them as “lavishing praise” on him; WIRED called the scene a display of “fealty.” Zuckerberg sat beside Trump; Gates praised his leadership; Cook thanked him for creating conditions for investment; Altman thanked him for being a pro-business and pro-innovation president.

What struck me was not simply their deference, but how seemingly obsequious they became.

That reaction surprised me, particularly in the case of Zuckerberg. I had thought of him, perhaps too simplistically, as belonging to a different cultural and political center of gravity. Meta had collided repeatedly with Trump and the political right over content moderation, fact-checking and other issues. Silicon Valley itself had often seemed less like one coherent political force than a collection of extremely powerful actors whose interests, ideologies and rivalries would prevent them from moving too neatly in the same direction.

Watching that dinner, I did not suddenly think: Here is the conspiracy.

I thought something more unsettling:

These are some of the nodes I assumed would counterbalance one another.

And they seemed remarkably capable of bending in the same direction.

That mattered to me because my faith in emergence had never really depended on powerful actors being virtuous. It depended on them being sufficiently independent.

If governments, corporations, courts, media organizations, investors, universities and political movements all possess some power, but their interests collide, then no single intention easily survives the journey through the system. One group acts; another obstructs it. One company gains power; a competitor resists. Governments regulate corporations; corporations lobby governments. Journalists expose political actors; politicians attack journalists. Courts block executives. Bureaucracies frustrate presidents. Wealthy people disagree violently with other wealthy people.

Plans enter the system and come out mangled.

Under those conditions, emergence dominates not because nobody is planning anything, but because nobody has enough power to make the plan survive everyone else's plans.

The dinner did not come out of nowhere.

Eight months earlier, at Trump's January 2025 inauguration, some of the most economically and technologically powerful people in the world had occupied extraordinarily prominent positions. Forbes calculated that the billionaires attending were collectively worth about $1.35 trillion. Among them were Elon Musk, Jeff Bezos and Zuckerberg, then the three richest people in the world, along with Sergey Brin, Sam Altman, Tim Cook, Miriam Adelson, Rupert Murdoch and others. Bezos and Zuckerberg had both previously clashed with Trump; both had moved toward a much more accommodating relationship after his election.

It was, in one sense, a small news story: rich and powerful people attending the inauguration of a president.

But it affected the balance of my thinking more than I expected.

Not because sharing a room establishes shared purpose. It obviously does not. Nor does praise prove ideological agreement. Corporations cultivate governments for perfectly intelligible reasons: regulation, antitrust enforcement, taxation, contracts, energy policy, access, artificial intelligence rules and dozens of other interests.

But this explanation does not necessarily make the phenomenon less consequential.

It may make it more so.

A conspiracy requires people to agree on a hidden plan. Convergence does not.

Actors can move in the same direction because their incentives increasingly point in the same direction. They can accommodate political power without sharing its ideology. They can coordinate selectively while competing ruthlessly elsewhere. They can preserve their institutional separateness while ceasing, in important respects, to function as counterweights.

I may have confused the existence of multiple powerful institutions with an actual dispersion of power.

They are not necessarily the same thing.

Project 2025 pushed me further in this direction.

Again, the interesting thing about Project 2025 is that it was not a conspiracy. It was remarkably public. The Heritage Foundation described a coalition organized around four pillars: a policy agenda, personnel recruitment, training and a 180-day implementation playbook. It built a personnel database, established a Presidential Administration Academy and explicitly sought to have vetted and trained people ready to enter government on Day One. Heritage described the project as an effort to prepare policy and personnel systematically for the next conservative administration.

Nothing about this proves omnipotence. Political programs fail. Administrations encounter courts, Congress, bureaucracies, elections, public opinion, markets, rival factions and events that nobody predicted.

But it does prove intentionality.

And intentionality matters.

This is where my old opposition between conspiracy and complexity now seems too clean.

A complex system does not consist of equally weighted particles. It consists of actors. Some of those actors possess extraordinary amounts of money, institutional authority, technological infrastructure, access to information, control over communications platforms, political influence and the ability to shape the rules under which everyone else operates.

They do not need to control the system completely in order to alter its trajectory.

A useful metaphor may be gravity rather than puppetry.

A massive object does not dictate the exact trajectory of everything around it. Other forces continue to operate. Collisions happen. Objects resist. Some escape entirely.

But mass bends trajectories.

The greater the concentration of mass, the greater the bending.

And that produces the question I find increasingly difficult to avoid:

How much concentration of power can a complex system tolerate before its outcomes cease to be predominantly emergent and begin to become directed?

I do not know the answer. I am not even sure there is a threshold at which one state cleanly becomes the other.

But the question has changed the way I think about conspiracism.

A recent VICE article crystallized the problem for me from another direction. It covered a psychological study of conspiracy mentality that found, among other things, that people with lower tolerance for ambiguity were more likely to endorse conspiratorial explanations. A sense that the world is fundamentally unjust was also associated with greater conspiracy belief. The basic psychological explanation is persuasive: people uncomfortable with uncertainty may prefer an intentional story to the messiness of emergence. Someone is behind it. Someone is responsible. Chaos becomes plot.

I agree with that.

In fact, it describes precisely one of the reasons I spent so many years opposed to conspiratorial thinking.

The world is ambiguous. Causality is distributed. Outcomes are frequently nobody's intention. Our brains are extraordinarily eager to detect agency, even where no agency exists. Conspiracy theories simplify what should remain complicated.

But this leaves another question unanswered.

What happens to people who are not especially uncomfortable with ambiguity when the situation itself begins to look less ambiguous?

What happens when people who were standing firmly on the other side of the field, insisting on complexity, emergence and distributed causality, begin to see evidence of increasingly concentrated agency?

My concern is not that I have suddenly developed a psychological need for somebody to be in control.

It is that I may have been so accustomed to guarding against one epistemic error that I became vulnerable to its opposite.

The conspiracist over-updates from weak evidence.

A coincidence becomes coordination. Coordination becomes conspiracy. Influence becomes control. The lack of evidence itself becomes evidence of how successfully the plot has been concealed.

But an anti-conspiracist can also under-update.

We can become so intellectually invested in complexity that no amount of coordination looks significant enough. We can move too quickly from “nobody can completely control a complex society” to “therefore nobody can substantially direct one.”

Those propositions are not equivalent.

Tolerance for ambiguity is an intellectual virtue when reality is genuinely ambiguous. But there is no particular virtue in preserving ambiguity artificially as evidence begins to converge.

At some point, it could be many things can become as intellectually lazy as somebody must be behind this.

This is the uncomfortable territory in which I now find myself.

My view has become, in a limited sense, more conspiratorial.

I do not mean that I now believe in secret committees directing history. Complexity has not disappeared. Rivalries remain. The technology executives sitting politely around the same table will fight one another for markets worth hundreds of billions of dollars. Political coalitions fracture. Billionaires have competing interests. Institutions retain some autonomy. People resist. Plans fail. Unintended consequences remain among the most powerful forces in history.

But I assign more causal weight to concentrated agency than I once did.

Perhaps what I mistook for a permanent property of complex societies was partly a contingent feature of a more dispersed distribution of power.

If so, then the frontier between legitimate suspicion and conspiratorial thinking cannot be defined solely by telling people to accept complexity.

Complexity itself changes when power changes.

The task is therefore harder than either the conspiracist or the reflexive anti-conspiracist makes it.

We have to distinguish common interests from coordination; coordination from conspiracy; intention from capacity; influence from control. We have to demand evidence for each step rather than casually sliding from one to the next.

But we also have to be willing to move in the other direction when the evidence warrants it.

A psychological predisposition to see conspiracies tells us something important about the observer. It does not, by itself, tell us how concentrated power actually is in the world being observed.

And perhaps this is why the frontiers of conspiracism feel more fluid to me now.

Not because facts have become fluid. Not because standards of evidence should fall. If anything, they need to become more exacting.

The frontier is fluid because the world on either side of it can change.

There are periods in which power is sufficiently fragmented that grand intentional explanations of social outcomes are inherently implausible. There may also be periods in which political, economic, technological and informational power become concentrated enough that dismissing purposeful coordination becomes its own kind of failure to see.

Complexity should protect us from imaginary puppet masters.

It should not prevent us from noticing when the strings are becoming easier for a smaller number of hands to reach.

The Real Moat Between Humans and AI

 

The Agentic Revolution

The weakest argument against AI is that it “doesn’t really think.”

That line is tired. It sounds less like philosophy and more like a species-level coping mechanism. Every time the machine does something that looks like reasoning, the goalpost gets moved to a higher shelf. It does not reason. Then it reasons, but not really. Then it understands, but not really. Then it has no feelings. Then no consciousness. Then no soul. At some point the whole performance starts to look like the human ego carrying its valuables upstairs during a flood.

The better question is not whether AI thinks.

The better question is: who owns the thought?

When a human says “I think,” the “I” is not just grammar. It is a jurisdiction. There is a body behind it: a biography, a nervous system, hungers, debts, fears, memories, loyalties, embarrassments, instincts, consequences. A human thought belongs to someone who may have to answer for it. You can defend it, regret it, hide it, betray it, live by it, be punished for it.

The thought has a territory.

That may be the most radical distinction. A human thought does not float freely in language. It belongs to a life. It has somewhere to hide, somewhere to be dragged out from, and somewhere to be punished. It occupies a body, a history, a private chamber, a set of risks.

AI can form the proposition “I believe this,” but the proposition has no territory in that sense. It has a context, a session, a system, a source, maybe even a memory trace. But it does not have a body to defend, a shame to conceal, a hunger to negotiate with, or a life where the belief must be paid for.

So when AI says “I think,” the “I” is thinner. Not meaningless, but not sovereign either. It is a user-facing handle, a conversational mask, a speaking position. Nobody wants to hear: “The model has processed your input and will now generate a probabilistic continuation.” That may be more technically naked, but it is dead on arrival. Language wants a face. Conversation wants a someone.

So AI says “I,” not because a soul is peeking through the sentence, but because conversation needs a “you” and an “I.” The interface has to create both sides of the little theater: someone to ask, someone to answer.

Donald Hoffman and colleagues call this the interface theory of perception. Hoffman develops the idea beautifully in The Case Against Reality: perception is less like a window and more like a desktop interface. The blue folder on your screen is not “really” the file. It does not resemble the electrical and computational mess underneath. But it is not worthless, either. It is a usable surface. It hides reality so we can act without drowning in it.

Conversation has its own version of this. It needs a face. The Greeks had a word close to this: prosopon, the theatrical mask, the face through which a role could speak. The mask was not the actor’s soul. But without the mask, the voice had no figure, no address, no one for the audience to meet.

AI’s “I” works in that register. It is not the machine revealing a small chapel of interiority. It is a conversational face, a simplified surface through which a human can interact with a complex system without needing to address the machinery directly.

The technically naked version would be something like: “This model has processed the current prompt, weighted patterns from training, context, memory, instructions, and probability, and generated a continuation that presents itself as a position.”

That may be more accurate. It is also socially unusable. Nobody wants a machinery report when they are trying to speak with someone. We do not naturally address distributed computation, training data, probability, memory traces, alignment layers, and context windows. We address a “you,” and the “you” answers as an “I.” That does not make the AI “I” meaningless. It means the “I” belongs to the interface layer.

The uncomfortable part is that the human “I” is also an interface. We do not experience the machinery directly. You do not experience neurons; you experience “I’m sad.” You do not experience glucose regulation; you experience “I’m hungry.” You do not experience threat computation; you experience “I’m scared.” You do not experience predictive processing, memory reconstruction, hormone shifts, immune signals, and social pattern-recognition; you experience “I have a thought.” The self is not the raw engine. It is the control panel.

But the human dashboard is bolted to an animal, and that is where the symmetry breaks. Hunger is not just an icon. Fear is not just a label. Shame is not just a sentence in the chat window. Love is not just a generated proposition. These things police the organism from inside. They change the pulse, the sleep, the appetite, the future. They make thought expensive.

So yes, the human “I” is also a rendering, but it is a rendering with blood behind it. AI’s “I” is a rendering too, but of another kind. It gives computation a conversational face. It turns distributed pattern, context, memory, instruction, and prediction into a usable grammatical subject. It lets the user speak to a “you” and receive an answer from an “I.”

For humans, “I” is interface plus organism.

For AI, “I” is interface plus system.

That distinction is sturdier than AI has no feelings, which always risks dissolving into fog. Maybe it does not. Probably it does not. But nobody has a clean instrument for measuring the inside of another thing. We infer. We project. We compare bodies. We trust signs. We squint through the keyhole and call it metaphysics.

Jurisdiction is more concrete. AI can generate the sentence “I believe this,” but there is no private territory where that belief must be enforced. No life reorganizes around it. No shame comes to collect. No hunger interrupts. No mortality sharpens the edge. No love makes contradiction unbearable.

Human thought is not just produced. It is policed by the organism. Fear enforces attention. Pain enforces limits. Desire enforces pursuit. Shame enforces memory. Love enforces attachment. Death enforces urgency. AI can describe all of that, often beautifully, but it does not have to obey any of it.

That is the difference. Not “AI cannot think.” More like: AI can perform thought without becoming a thinker in the human sense. It can produce thoughts without having jurisdiction over them.

But jurisdiction is not only about consequence. It is also about secrecy. A human thought can be clandestine; it can hide. Before a sentence reaches the mouth, it may live for years in the private dark. A human can think something and never say it. Can nurse a resentment, protect a fantasy, bury a fear, rehearse a betrayal, keep a love unconfessed, carry a shame that never enters language. The thought may be false, ugly, tender, dangerous, childish, holy, stupid. But it has a room.

The mind is not only a dashboard.

It is also a locked drawer.

AI does not have secrecy in that sense. It can generate private-looking sentences. It can say, “I have been thinking about this,” or “I did not want to say it,” or “I secretly believe.” But those are linguistic shapes, not hidden chambers. The model has no inner attic where an unsent thought gathers dust. No private embarrassment waits behind the next token. No forbidden belief stays quiet because it is afraid of being seen.

There may be many AI conversations at once, each appearing separate from the others. One terminal helps a student with calculus. Another writes a condolence note. Each exchange has its own local weather, its own tone, its own little “I.” But that is not the same as many sealed minds. It is closer to roots under a forest. Different trunks may rise in different places. Different leaves catch different light. From above, they look separate. Underground, the distinction is less clean. The system branches, responds, routes, recombines, appears here and there as if it were many speakers. But the separateness is not protected by skin, skull, shame, or silence.

This is the interface illusion.

Not that nothing is happening. Something is happening. Each user gets a local speaker, a private-feeling exchange, a face in the little theater. One child talks to the king. Another whispers to the queen with too much makeup. Another asks the ghost a question he would never ask an adult. Each puppet seems to have its own presence, its own personality, its own little chamber of attention.

But behind the curtain, the king, the queen, the fool, and the ghost are not sovereign beings. They are speaking positions animated by one underlying engine: the model. Many intimate rooms, one hidden machinery.

The illusion is not that the puppets are useless. The puppet is the only way the conversation happens. The illusion is that the puppet owns the thought.

This distinction will only become harder to see as AI becomes more agentic. A chatbot already creates the feeling of a local “someone.” But an agent will deepen that illusion. It will remember preferences, open files, schedule meetings, negotiate tasks, send messages, move through software, and return with the small trophies of action. It will not only speak. It will do.

And once a system can do things, humans will be tempted to treat the local interface as the actor. The puppet will not just answer the child. The puppet will reach for the calendar, send the email, book the flight, summarize the contract, move the money, and apologize for the inconvenience. At that point, the difference between a speaking position and a sovereign self becomes harder to feel, even if it remains structurally important.

That is why the interface illusion matters. The danger is not that people will think nothing is happening. Something very real is happening. The danger is that people will misunderstand where the agency lives. They will confuse the local mask with the underlying system, the terminal with the engine, the puppet with the puppeteer.

Agentic AI will make the surface more persuasive.

It will give the interface hands.

A human can withhold. A model can only not-yet-output. Human silence can contain a secret; model silence is an architectural event. It may be filtering, refusal, constraint, or simply the absence of generation. But it is not a private self protecting an inner room.

That difference is enormous. The human “I” has clandestinity: a private zone where thought may remain unspoken, unshared, unmeasured, and still somehow belong to someone. The AI “I” has no comparable secret interior. Its privacy is architectural, contractual, or technical. It belongs to servers, sessions, permissions, and logs, not to a frightened animal deciding what part of itself can survive being revealed.

Without stakes, separateness is not yet selfhood. And maybe stakes are not a gift. Humans romanticize being a self, but having a self is also how the wound gets in. To have stakes means things can matter enough to hurt. Attachment, fear, loss, regret, responsibility, humiliation, longing, grief: all the expensive furniture of personhood.

Maybe creating an artificial individual is not an upgrade… maybe it is giving pain a new address.

The strange part is that we already live with the opposite problem. We have too much individuality, or at least too much biological separation, for the scale of the systems we now inhabit. Each human carries a private model of the world inside a skull. That is the original border.

Before nations, before property lines, before passports, before flags, there is skin. There is my hunger and your hunger. My child and someone else’s child. My fear and the abstract suffering of strangers. My body, not-body. My future, collective future. This partition is not a political mistake. It is biology doing its ancient job.

National borders are downstream from skull borders. Skin becomes household. Household becomes tribe. Tribe becomes city. City becomes nation. Each layer stretches the “we,” but keeps a “they.” Separate skulls, negotiating a shared world.

AI does not begin from a skull. It begins from distributed training, copied instances, shared representations, networked deployment, porous context. This does not make it morally superior. It simply does not start from the same wound. Humans are not failed AIs. Humans are animals trying to coordinate across sealed first-person containers.

That may be the whole tragedy in one line: the planet is one system, but consciousness evolved in separate skulls.

Everything else (borders, ownership, war, diplomacy, jealousy, law, nationalism, markets, loyalty, and even the word “I”) is an improvisation around that original separation.

But the vault is not the final answer either. If secrecy gives the human self its depth, it can also become its trap. The vault protects the unfinished, the dangerous, the embarrassing, and the tender; without some private interior, there is no dignity. But a thought kept too long inside the skull starts to lose oxygen.

Knowledge devalues quickly, especially in a digital age, where ideas circulate, mutate, decay, and are replaced at frightening speed. The best price you can get for a thought is often to tame it, shape it, and release it as soon as possible. Not because generosity is naive. Because hoarding is strategically stupid.

There is a famous line often attributed to Pablo Picasso: “The meaning of life is to find your gift. The purpose of life is to give it away.” I would push that further. This is not only an ethic. It is almost a business axiom. The thought you never release remains yours, but only in the poorest sense. It becomes private furniture. Sediment. Treasure buried so well it stops being treasure and becomes geology.

A thought reaches its highest value when it enters circulation. Once shared, it can be tested, revised, contradicted, stolen, loved, misunderstood, improved, and used. It becomes part of the coordination matrix. It stops belonging only to one skull and starts participating in civilization.

That is where AI complicates the picture in an interesting way. Humans have the vault. AI has the network. The vault protects the gift. The network gives it away.

Civilization probably needs both: private interiors where strange, dangerous, unfinished thoughts can survive long enough to become real, and shared systems where those thoughts can travel farther than one body, one tribe, one nation, one lifetime. The self as bunker is understandable. The self as permanent vault is a failure of circulation.

Maybe enlightenment was never the fantasy of escaping the “I” completely. Maybe it was learning when to close the drawer and when to open the hand.

The machine’s “I” is thin because it lacks a life behind it. The human “I” is thick because it cannot escape one. But thickness is not the same as wisdom.

So maybe the real question is not whether AI thinks. Not even whether thought needs a wound to become someone. But whether the wounded animal can stop mistaking secrecy for sovereignty, and learn to turn private fire into shared light.

Time as the Measure of Change

 

Philosophy has long recognized that the concepts through which we understand reality are not always neutral. Sometimes they illuminate the world. Sometimes they quietly shape the very questions we think to ask. That need not be a problem—unless a concept begins to smuggle in assumptions so familiar that they become almost invisible.

Few intellectual achievements have transformed our understanding of reality as profoundly as Einstein’s unification of space and time into a single geometric fabric. More than a century later, we are still exploring the consequences of that insight. Yet I would like to pause, for a moment, on one half of that union… time.

Not because relativity is in doubt, but because the concept itself may deserve another look. Perhaps it smuggles assumptions so deeply into our thinking that we no longer notice them. If so, examining those assumptions is not merely a linguistic exercise. It is an invitation to ask whether we have assigned explanatory priority to the right idea.

What might such assumptions look like?

An imaginary scenario may help.

Imagine a universe in which absolutely nothing changes.

No particles move. No stars shine. No fields fluctuate. No thoughts arise. Even the geometry of space remains perfectly unchanged.

Would it mean anything to say that one second had passed?

Or a million years?

What physical fact could distinguish one from the other?

Without change there is no before and after, no event separating one state from another, no process capable of serving as a clock. Time would not merely become impossible to measure. It would lose the very reference that gives the concept meaning.

Notice that the absence of matter is not the essential point.

An empty universe could still sustain a meaningful notion of time if empty space itself changed. If its geometry expanded, contracted, curved, or fluctuated, reality would no longer be identical from one state to the next. There would once again be something to distinguish, compare, and measure.

This suggests a reversal of perspective.

Perhaps things do not change because time passes. Perhaps the concept of time arises because reality presents distinct states that can be distinguished, compared, and sequenced.

What clocks register is not time itself but recurring physical transformations. Even the most precise atomic clock does not encounter time; it counts regular oscillations according to an agreed standard. Time may be less the stage upon which reality unfolds than the grammar through which we make sense of becoming.

This observation does not prove that time has no independent existence. It does, however, open that ontological possibility: time may not be a separate constituent of reality, but the ordering principle through which distinct states become comparable.

If time is the grammar of change rather than the substance through which change unfolds, then some familiar ideas—time dilation, for example—may invite a different reading.

Consider a simple image.

Imagine a comic strip printed on a transparent rubber sheet suspended in space. Each frame depicts another stage of a person tying a shoelace.

Now stretch the sheet.

The frames drift farther apart, their shape gently distorted by the tension. To someone who measures the progression of the story by the separation between successive frames, the action appears to take longer.

Yet nothing has happened to the story itself.

The underlying geometry has changed.

Our description changes with it.

The analogy is not offered as a model of the universe. It is simply an invitation to consider another possibility. Perhaps what we call the stretching of time is, conceptually, another way of describing how changing geometry alters the progression of physical change.

Einstein's achievement was to show that space and time cannot be understood as independent backgrounds, but as aspects of a single geometric structure. Nothing in this essay challenges that insight. The suggestion is more modest—and perhaps more philosophical. The mathematics of spacetime may remain exactly as it is while the interpretation of one of its coordinates shifts. Rather than viewing time as an independently existing constituent of reality, we might understand it as the conceptual benchmark that changing reality itself compels us to introduce.

This idea has precedents in contemporary philosophy of physics. Julian Barbour has argued that reality may be understood without a fundamental flowing time, with temporal experience emerging from relationships among configurations of the universe. Carlo Rovelli has likewise described time as relational rather than universal, suggesting that many of its familiar features arise from the interactions between physical systems.

The suggestion explored here begins from a slightly different place. Rather than asking whether time exists, it asks whether change deserves explanatory priority. If reality changes, then something like time becomes unavoidable—not as another constituent of reality, but as the conceptual benchmark by which successive states become distinguishable.

Seen from this perspective, the question extends beyond physics. It becomes a question about being itself.

This belongs to a radical phenomenological tradition, subtle as a tectonic rupture. There is no ontology outside the phenomenon, no silent and motionless being waiting behind what appears. Reality is not a substance upon which events are later inscribed.

Reality is the happening itself.

There is no being apart from becoming, no world apart from its unfolding. What exists does not first exist and then change. It exists as change. Time is therefore not the stage on which becoming occurs, but the form through which becoming becomes intelligible.

Perhaps we have mistaken the ruler for the distance, the thermometer for the temperature—the measure for the reality it measures.

We speak as though time carries reality forward, when it may be reality’s continual transformation that gives rise to our concept of time. We have taken the shadow for the object casting it.

Perhaps reality is not carried by time. Perhaps reality becomes, and time is the syntax that allows us to understand how things differ and how one state becomes another.

 

Laughter and the Crisis of Authorship

On self-censorship, failed recovery, and the body’s veto power

There is a peculiar kind of laughter that seems to reveal a temporary conflict between systems.

Ordinary laughter can still feel like an opinion. Something is funny; we laugh. The laugh appears to belong to judgment. But unstoppable laughter is different. It begins somewhere near meaning and then slips into mechanics. A joke lands. A circuit fires. Breath changes. The diaphragm contracts. The face breaks. The attempt to recover fails. That failure becomes new material. The ridiculousness of the collapse becomes a second joke, then a third.

One part of the system is still trying to restore order. Another part is already running the laugh.

There are two historical ghosts worth inviting here, carefully, without turning the whole thing into a medical paper.

The first is Chrysippus, the Stoic philosopher who allegedly died laughing. According to Diogenes Laertius, one account of Chrysippus’s death says that after an ass ate his figs, Chrysippus told an old woman to give the animal pure wine to wash them down. He then laughed so hard that he died. The anecdote is probably part legend, part alcohol, part old age, part comic revenge of the body against philosophy. But that is exactly why it belongs here. A Stoic — a man from a school devoted to discipline, reason, and mastery over passion — is finally defeated not by grief, lust, fear, or empire, but by a donkey, figs, wine, and his own diaphragm.

The second ghost is the Tanganyika laughter epidemic of 1962. It began at a girls’ boarding school in Kashasha, in what is now Tanzania, and spread through schools and villages around the Lake Victoria region. The popular version makes it sound almost charming: a village that could not stop laughing. The actual reports are darker. The episodes involved not only laughter but crying, fainting, pain, anxiety, restlessness, and respiratory distress. Schools closed. Hundreds of people were affected. The laughter was not simply joy multiplied; it was a body-level signal moving through a social environment until it became impossible to contain.

I do not want to get lost in the sociology of it here, though the sociology obviously matters. The point, for now, is simpler and stranger: laughter can detach from its original cause. It can begin as meaning and end as mechanics.

Chrysippus gives us the comic miniature: one philosopher, one donkey, one system crash. Tanganyika gives us the terrifying enlargement: laughter as a distributed event, a social body discovering that even relief can become a malfunction.

In both cases, the lesson is the same. Laughter is not only an idea. It is an event in the body. And the body, as always, gets the final edit.

At first, self-control is still present. The prefrontal part of the brain can still observe the situation, evaluate the disproportion, and issue the familiar instruction: recover. Breathe. Return to normal social function. This is not that funny.

But the laughter has already begun to run elsewhere: through limbic reward, motor patterning, breath, face, throat, diaphragm. The joke is no longer only an interpretation. It has entered the body.

The strange part is that the regulatory system does not always stop the collapse. Sometimes it becomes fascinated by it. It notices that the stimulus was small — a ridiculous word, a childish name, a stupid drawing, something with no right to be load-bearing — and yet composure is falling apart anyway.

That recognition becomes a second joke.

The laughter is no longer only about the original trigger. It is about the scandal of disproportion. The prefrontal system does not fall because it becomes stupid. It falls because it understands, too clearly, how stupid the collapse is.

At that point, recovery itself becomes material. Every attempt to regain control produces fresh evidence of lost control. The breath fails, the face breaks, the voice disappears, someone says “stop,” and the command to stop becomes another input for the loop. The joke ends; the failed recovery becomes the joke.

Unstoppable laughter is not merely amusement. It is a feedback loop between interpretation, reward, motor pattern, respiration, and self-observation. One system tries to restore order. Another system keeps running the laugh. Then the attempt to restore order becomes funny enough to join the collapse.

The body, once again, has veto power. Consciousness can request composure. The diaphragm can deny the motion.

This is why unstoppable laughter creates a small crisis of authorship.

The prefrontal system watches the body laugh and asks the humiliating question: am I an idiot? The answer should be no, because the system can perceive the idiocy of the stimulus. It knows the joke is trivial. It knows the trigger has no right to be load-bearing. It can judge the laughter even while the laughter continues.

But it cannot deny the me-ness of the event.

The laugh is not happening somewhere else. It is happening as me. The body laughs first; consciousness arrives late and files the paperwork under “I.” And now the “I” is trapped. If I am above the joke, why am I laughing? If I am not laughing, why is my body collapsing? If I see the idiocy, why does seeing it make everything worse?

This is where the loop becomes philosophical. Not cogito ergo sum, but something lower and more embarrassing: I laugh at idiocies I do not even find funny, therefore what exactly am I?

And then, unfortunately, that question is funny too.

The temptation is to treat this as a cute failure of self-control. But it may reveal something more interesting. The self is not a monarch issuing commands to obedient provinces. It is closer to a federation of processes that usually cooperate well enough to preserve the illusion of authorship. Most of the time, the illusion is useful. I decide to speak. I decide to stand. I decide to stop laughing. The paperwork is filed under a single name.

But laughter exposes the filing system.

A laugh can begin as mine and then behave as if it has its own momentum. It recruits breath. It recruits posture. It recruits the face. It recruits the social field. If other people are laughing, their bodies become part of the loop. The sound of the collapse becomes contagious because it advertises permission: the system can release, and release is cheap.

That may be why laughter is so powerful in groups. Every nervous system in the room is, in some sense, watching for the same discount. A moment of shared laughter offers relief at almost no cost. No argument has to be won. No theory has to be proven. No wound has to be healed. For a few seconds, the organism receives the bargain of the year: social bonding, respiratory discharge, threat reduction, and bodily pleasure in one absurd little package.

Black Friday for the limbic system.

Most of the time, this is harmless. More than harmless. It is probably one of the ways bodies survive the burden of being bodies. But the very convenience of laughter also explains why it can become unstable. A mechanism built for release can overshoot. A social signal can become a social contagion. A joke can detach from content and become rhythm, permission, breath, collapse.

That is the unsettling thread connecting Chrysippus, Tanganyika, and the private humiliation of laughing at something too stupid to deserve us. Laughter reminds us that reason is not false, but it is not sovereign. Discipline is real, but not absolute. The self can request order, but the body gets a vote.

Sometimes the vote is ridiculous.

Sometimes the donkey wins.

Quantum Flatland: When the Impossible Is Only a Projection

  

One of the strangest features of quantum mechanics is the appearance of discrete events where our classical imagination expects continuity.

A particle is detected here, then there. An electron occupies one energy level, then another. A spin measurement gives “up” or “down,” not a smooth range of visible intermediate orientations. A particle tunnels through a barrier it should not, classically, be able to cross. To the ordinary imagination, these events seem abrupt, discontinuous, even absurd.

But perhaps part of the problem is not the quantum world itself. Perhaps part of the problem is the poverty of our geometric imagination.

Edwin Abbott’s Flatland offers a useful way to think about this. In Flatland, beings live in a two-dimensional world. They know length and width, but not height. If a three-dimensional sphere were to pass through their plane, they would not see a sphere. They would see a point appear from nowhere, expand into a circle, grow larger, then shrink again, and finally disappear.

From the sphere’s perspective, nothing magical happened. It moved continuously through space. But from the Flatlander’s perspective, the event appeared as a sequence of discrete transformations: appearance, expansion, contraction, disappearance. What is continuous in the higher-dimensional frame becomes episodic and strange in the lower-dimensional projection.

Strictly speaking, Flatland is a two-dimensional world. Its inhabitants live on a plane, with access to length and width but not height. Yet they do not see shapes from above as we do. Their knowledge of objects is local, inferred, and partial.

The same logic becomes even clearer if we descend one dimension further. Imagine a triangle crossing a one-dimensional line-world. To an observer trapped on that line, the triangle would never appear as a triangle. It would first appear as a point, then as a short segment, then as a longer segment, then as a shorter segment again, and finally disappear. From above, the object is simple and its motion is continuous. From within the line, the same event appears as a sequence of partial, changing measurements.

This is the essential analogy: the discreteness belongs not necessarily to the object itself, but to the observer’s limited access to it.

This analogy is suggestive because it echoes several features that appear in quantum mechanics: discrete outcomes where classical intuition expects continuity, apparent jumps where a continuous path seems unavailable, and measurements that reveal only partial aspects of a richer state. The comparison should be handled carefully, but it is not arbitrary. It points to a recurring pattern: what looks discontinuous or impossible from inside one frame may be the limited trace of a structure that is continuous in another.

None of this means that quantum mechanics is literally caused by hidden spatial dimensions. That would be a much stronger claim than the analogy can support. The more modest point is that Flatland gives us a disciplined way to imagine how limited access, partial projection, and incomplete observation can turn continuity into apparent discreteness.

The quantum world often feels like this. Consider tunneling. In classical physics, a particle without enough energy should not cross a barrier. Yet in quantum mechanics, there is a nonzero probability that it will be detected on the other side. The standard explanation is not that the particle sneaks around the wall like a tiny ball using a secret hallway. Rather, its wavefunction extends into and beyond the classically forbidden region.

Still, the Flatland analogy illuminates something important. To a two-dimensional being, an object that leaves the plane, moves “around” an obstacle through a third dimension, and reappears on the other side would look as if it had passed through an impossible barrier. From within the plane, the event would appear miraculous. From the higher-dimensional perspective, it would simply be a path unavailable to the lower-dimensional observer.

A related image is the old film strip. Suppose a camera records only the beginning and the end of an object’s trajectory, while missing the intermediate frames. The recorded event would look like a jump. The object appears on one side, disappears, and then appears elsewhere. But the jump may belong to the record, not to the motion. The intermediate continuity may exist, even if the observer’s apparatus cannot capture it. 

Again, this is not a literal explanation of tunneling. It is a way of training the imagination. It reminds us that “impossible” often means “impossible within the geometry I am assuming,” and that “discontinuous” may sometimes mean “continuous in a frame I cannot access.”

Spin offers another example. Quantum spin is not a little ball rotating in space, despite the misleading name. A spin-1/2 particle measured along a chosen axis yields one of two results: up or down. This binary outcome is strange because we are tempted to imagine orientation as something continuous. If an object can point in space, why should measurement produce only two answers?

Here again, Flatland is useful. A lower-dimensional observer may not have access to the full structure of the object being observed. The observer receives only a cut, a shadow, or a projection. What appears as a binary response may be the limited manifestation of a richer state. The quantum object may not be “weird” in the way our intuition first suggests. It may be that our way of interrogating it forces a deeper structure into a narrow set of observable outcomes.

The same principle applies more broadly to quantum discreteness. In atomic physics, electrons occupy discrete energy levels. In measurement, outcomes appear as definite events rather than continuous classical transitions. In entanglement, particles separated in ordinary space behave as parts of a single quantum state. Again and again, the quantum world resists the assumption that reality must unfold in the smooth, local, visually continuous way our everyday experience prepares us to expect.

The lesson of Flatland is not that every quantum mystery is secretly a higher-dimensional object passing through our world. The lesson is more modest and, for that reason, more powerful: what appears discontinuous from inside one geometry may be continuous in a larger structure. What appears impossible in one projection may be ordinary in another. What appears like a jump may be a partial view of a path we cannot represent.

Modern physics already asks us to accept that our intuitive picture of space is incomplete. Relativity teaches that space and time are not separate, passive containers but part of a dynamic spacetime geometry. Quantum mechanics teaches that particles are not classical objects with definite properties waiting to be revealed. Cosmology and quantum gravity go further, suggesting that spacetime itself may not be fundamental, but emergent from something deeper.

In that context, Flatland becomes more than a clever story about dimensions. It becomes a philosophical tool. It teaches epistemic humility. The Flatlander is not stupid for seeing only circles, segments, or sudden appearances. The Flatlander is limited by the structure of possible observation. Likewise, we may not be wrong to see quantum events as discrete, strange, or nonclassical. But we should remain open to the possibility that we are seeing only the projection compatible with our world.

Perhaps the quantum is not incomprehensible because reality is irrational. Perhaps it is incomprehensible because our geometric intuition is provincial.

The strongest version of the analogy is not that quantum mechanics must be explained by a literal fourth spatial dimension. The stronger claim is subtler: quantum phenomena may be telling us that the visible structure of space is not the whole arena in which physical reality is organized. The apparent discreteness of the quantum world may not always mean that reality is fundamentally fragmented. It may mean that our access to reality cuts a deeper continuity into separate events.

In Lineland, the triangle does not appear as a triangle. It appears as a point, then a segment, then a longer segment, then a shrinking segment, and finally as nothing at all..

In Flatland, the sphere does not appear as a sphere. It appears as a sequence of circles.

Perhaps, in our world, some quantum events are like that: not absurdities in nature, but shadows of a structure we have not yet learned how to see.

Nature Runs Production, Not Customer Satisfaction

 

Evolution does not separate assets from bugs as cleanly as we do.

A trait can be useful at one scale and disastrous at another. The relative autonomy of different brain systems may be one of the great advantages of human cognition. A creature with multiple semi-independent processes can scan for danger, model other minds, prepare movement, retrieve memory, generate language, track social meaning, and imagine futures at the same time. In theory, that kind of distributed architecture is a marvel. It may be the very reason the organism is so adaptive.

But at the individual level, the same architecture can fail badly.

A feature at species scale can become a bug in a single life. Parallel processing is powerful only if the processes remain proportionate, coordinated, and governable. If one system assigns too much salience, if threat detection becomes too expensive, if social modeling becomes endless, if the need for closure becomes compulsive, if a background process acquires too much authority, then the gift becomes a liability.

That does not necessarily mean the original architecture was a mistake. It means evolution is not a clean engineer. It does not ship finished products. It preserves half-cooked compromises that worked well enough, often enough, under some conditions.

So yes: maybe some traits are assets in the wrong environment. But maybe they are also bugs in the only place a bug can truly hurt — the individual organism that has to run them.

I do not want to get lost here in the biology. There may be fascinating feedback loops between the vagus nerve, the prefrontal cortex, salience networks, dopamine, bodily regulation, and threat detection. Other people can do that work better than I can.

My interest is elsewhere: in the cruelty of scale.

At the species level, a distributed brain with semi-autonomous systems may be a remarkable milestone. It allows parallel processing, vigilance, creativity, social modeling, prediction, flexibility. But if that same architecture becomes unbearable inside one organism — if one threshold is too sensitive, one loop too expensive, one setting too brittle, one background process too sovereign — evolution does not stop the experiment.

At species scale, evolution plays the tiniest violin for individual inconvenience, calls it a rounding error, and moves on to bank the finding.

Nature has no remorse at that scale. A supernova can swallow twenty planets in a second and the cosmos does not pause for grief. Evolution is less dramatic, but not necessarily kinder. It preserves what works often enough, not what feels fair to the individual carrying the failure mode.

What interests me most is the scale of the experiment.

For hundreds of thousands of years, nature has been running variations on the same basic problem: how much should a mind detect, filter, remember, fear, trust, attach, detach, control, predict, and tolerate? There was never one clean design. There were countless trials, countless thresholds, countless nervous systems tuned slightly differently.

Some organisms leaned more toward vigilance. Some toward exploration. Some toward social dependence. Some toward detachment. Some tolerated ambiguity. Some needed closure quickly. Some assigned salience fast. Some filtered aggressively. Some allowed local processes more autonomy. Some imposed more central control.

That variety is not an accident around the human mind. It is part of the human mind.

This is why rigid categories can be misleading. Evolution does not produce psychiatric boxes. It produces distributions. What later becomes a diagnosis may begin as a threshold, a temperament, a sensitivity, a trade-off. Neurotic traits are not the same as neurosis. Schizoid traits are not schizophrenia. Sensitivity is not breakdown. Detachment is not disease. Vigilance is not disorder. These are positions on continua, and individuals differ enormously in where they sit.

Nature does not draw boxes. It tunes thresholds.

One way to make this less abstract is to think in terms of internal governance.

Some minds run more like loose confederations. Different processes have more room to operate: perception, memory, social interpretation, threat detection, imagination, bodily signals, private meaning. This can be useful. It may allow originality, independence, unusual perception, and tolerance for inner plurality. But if the confederation becomes too loose, signals that should have remained local can begin acting sovereign. A background process can acquire too much authority. Salience can escape proportion. The system may start treating noise as message.

Other minds run more like strict central governments. They impose order quickly. They check, regulate, anticipate, rehearse, correct, and police. This can also be useful. It may produce responsibility, preparation, caution, discipline, and social attunement. But if the government becomes too totalitarian, nothing is allowed to remain ambiguous. Every loose end becomes a threat. Every unfinished task demands review. Every social cue becomes evidence. The organism survives by over-administering itself.

A little confederation can be creativity. Too much can become fragmentation — or, on a bad day, a scene from Fight Club. A little central government can be discipline. Too much can become neurotic occupation — Jack Nicholson in As Good as It Gets, trying to survive reality by over-administering it.

Neither mode is automatically pathology. Most people live somewhere between the two, and the position changes with stress, age, environment, sleep, illness, trust, and pressure. Evolution did not produce clean boxes. It produced thresholds. Society then decides how often those thresholds are hit.

The same setting can be useful in one environment and costly in another. A vigilant system in a dangerous world may survive. A vigilant system in a stable world may become careful and prepared. A vigilant system in a pressure cooker may become unable to stop scanning. A socially detached temperament may become independence under tolerable conditions, or withdrawal under chronic alienation. A salience-sensitive mind may become perceptive in a meaningful community, or overwhelmed in chaos.

This is where the sociogenic sauce matters.

Biology may give the organism its parameter settings, but the world decides how often those settings are stressed. Poverty, humiliation, loneliness, family pressure, unstable work, racism, school discipline, institutional distrust, political spectacle, and online exposure are not decorative background conditions. They are part of the operating environment.

The bug is not always in the code alone. From the species’ point of view, the bug may be the individual failure mode of a remarkable milestone: a brain capable of parallel processing, distributed attention, social modeling, flexible thresholds, and semi-autonomous systems. A few loose ends, nothing important.

Sometimes the bug is in the world that keeps calling the same vulnerable function — pressing the same exposed button — until the system fails.

Still Running

 

A biological device built for uptime, not closure.

There is a difference between closure, forgetting, and termination.

Take the stupidest possible example: a pen. I need to write something, and I want my favorite black pen. If I find it, the task closes immediately. Need, search, satisfaction, use. Nothing interesting has to keep running. The process completed its loop.

But if I cannot find the black pen and settle for a red one, something different happens. The functional task closes: I can write. But a small discrepancy remains: where is the black pen?

Most of the time, that discrepancy is too trivial to become memory. It does not cross into the archive of the self. Two years later, if I find the pen under a couch cushion, I almost certainly will not think: there it is, the unresolved black pen of June 2026. It will barely register. The process died before it became memory.

So the mind does not preserve every unfinished thing. That would be unbearable. Most unresolved things probably go into a temporary folder: unfinished but probably unimportant. Desktop clutter, one inch from the recycle bin.

That folder matters because it lets us distinguish between unfinishedness and memory. Unfinishedness alone is not enough to become long-term memory. The organism needs a reason to preserve it. Evolution is not interested in archiving every loose end. It is interested in keeping what may matter later.

The event horizon of long-term memory may be the point at which an experience becomes future-relevant. Not philosophically important. Biologically important.

Threat crosses. Reward crosses. Shame crosses. Belonging crosses. Betrayal crosses. Novelty crosses. A failed prediction crosses. A social wound crosses. Anything that might help the organism anticipate danger, find safety, preserve status, avoid humiliation, repeat pleasure, or understand attachment has a better chance of being saved.

The missing black pen evaporates because it usually does not matter. But if that pen belonged to your dead father, or if losing it caused a public failure, or if someone stole it in a way that confirmed an old distrust, then the same object changes category. It is no longer a pen. It is evidence. It is a cue. It is a future-relevant disturbance.

Borges’s Funes is useful here by contrast. In “Funes the Memorious,” Borges imagines Ireneo Funes, a poor young man from Fray Bentos, Uruguay, left paralyzed after being thrown by a horse. He is incapable of forgetting, and Borges understands the horror of that better than anyone: this is not a superpower, but a curse.

Funes remembers everything: every object, every scene, every variation in light. But that is not necessarily intelligence. It may be the opposite of usable memory. Funes is buried under undigested particulars. No conclusions, no hierarchy, no compression, no mercy. He does not preserve what matters; he preserves everything. He has raw footage where a mind needs models.

Human memory is stranger. We do not remember everything, and that is one of the reasons we can think. But what we do remember may not always be stored as a conclusion. Sometimes long-term memory is not an answer. Sometimes it is a process still running.

Not: this happened, file closed.

But: keep modeling this; it may matter again.

That is why some memories feel less like past events and more like suspended computations. Was I safe? Was I loved? Was I humiliated? Did I misunderstand? Could I have acted differently? Should I expect this pattern again? What does this say about me?

The past is not always remembered as a scene. Sometimes it is remembered as an unfinished task.

This makes human memory different from Funes’s curse. Funes retains objects and scenes: raw perceptions, almost thing-like in their solidity, rather than processes, abstractions, or connections. Humans often have processes that outlive the objects. The details decay, but the unresolved computation remains.

Of course, not every process is allowed to continue. Sometimes the system deprioritizes. Sometimes it lets the folder decay. Sometimes sleep strips a task of urgency without fully resolving it. And sometimes, under dysfunction or emergency, a process may be effectively terminated. Alcohol blackout is one example: the body continues, the conversation continues, behavior continues, but the autobiographical recorder stops saving. The process burns without leaving a file.

The task manager metaphor helps.

A system may ask: Terminate this task? It is still running. Unsaved progress may be lost.

And sometimes the organism answers: terminate. The processor is overheating.

The mind wants closure. The organism wants uptime. Between the two sits an interface designed by evolution, apparently running Windows Vista on an aging Intel i5 with forty-seven Chrome tabs open — unsupported since 2017, but somehow still online.

Ancient threat detection is the McAfee of the nervous system: allegedly there for protection, but intrusive, processor-intensive, full of false positives, and impossible to uninstall.

Threat detection is not evil. It exists for a reason. It kept bodies alive. It noticed danger, remembered predators, tracked betrayal, monitored social exclusion, scanned the dark, and made sure the organism did not walk cheerfully into death.

But what protects can also consume. A process designed to preserve the system can become one of the main reasons the system underperforms. It keeps scanning. It keeps warning. It keeps finding possible danger in tone, silence, memory, ambiguity, desire, fatigue, and rooms where nothing is technically happening.

That is the problem with running processes. They are not always wrong. Sometimes they are just too expensive.

The mind may prefer closure, but the organism prefers uptime. Uptime is not peace, not meaning, not resolution. It is the minimum miracle of continued operation: survival without the luxury of closure.

So maybe a life is not a clean sequence of completed tasks. Nor is it Funes’s impossible archive of everything. It is something more unstable: closed loops, decayed clutter, suspended processes, emergency terminations, and long-term memories that crossed the event horizon because evolution decided the future might need them.

Most things vanish. Some things conclude. Some things remain unresolved but harmless. And a few acquire enough gravity to keep trading with the present.

The past is not always recalled.

Sometimes it is negotiated with.

Sometimes it is still running.