Cinemorphosis

Tag: artificial-intelligence

  • Against AI Moral Optimism: Why Tristan Harris Underestimates Power

    Against AI Moral Optimism: Why Tristan Harris Underestimates Power

    Clarity Idealism

    noun

    Clarity Idealism, in the context of AI and the future of humanity, is the belief that sufficiently explaining the stakes of artificial intelligence—its risks, incentives, and long-term consequences—will naturally lead societies, institutions, and leaders to act responsibly. It assumes that confusion is the core threat and that once humanity “sees clearly,” agency and ethical restraint will follow. What this view underestimates is how power actually operates in technological systems. Clarity does not neutralize domination, profit-seeking, or geopolitical rivalry; it often accelerates them. In the AI era, bad actors do not require ignorance to behave destructively—they require capability, leverage, and advantage, all of which clarity can enhance. Clarity Idealism mistakes awareness for wisdom and shared knowledge for shared values, ignoring the historical reality that humans routinely understand the dangers of their tools and proceed anyway. In the race to build ever more powerful AI, clarity may illuminate the cliff—but it does not prevent those intoxicated by power from pressing the accelerator.

    Tristan Harris takes the TED stage like a man standing at the shoreline, shouting warnings as a tidal wave gathers behind him. Social media, he says, was merely a warm-up act—a puddle compared to the ocean of impact AI is about to unleash. We are at a civilizational fork in the road. One path is open-source AI, where powerful tools scatter freely and inevitably fall into the hands of bad actors, lunatics, and ideologues who mistake chaos for freedom. The other path is closed-source AI, where a small priesthood of corporations and states hoard godlike power and call it “safety.” Either route, mishandled, ends in dystopia. Harris’s plea is urgent and sincere: we must not repeat the social-media catastrophe, where engagement metrics metastasized into addiction, outrage, polarization, and civic rot. AI, he argues, demands global coordination, shared norms, and regulatory guardrails robust enough to make the technology serve humanity rather than quietly reorganize it into something meaner, angrier, and less human.

    Harris’s faith rests on a single, luminous premise: clarity. Confusion, denial, and fatalism are the true villains. If we can see the stakes clearly—if we understand how AI can slide toward chaos or tyranny—then we can choose wisely. “Clarity creates agency,” he says, trusting that informed humans will act in their collective best interest. I admire the moral courage of this argument, but I don’t buy its anthropology. History suggests that clarity does not restrain power; it sharpens it. The most dangerous people in the world are not confused. They are lucid, strategic, and indifferent to collateral damage. They understand exactly what they are doing—and do it anyway. Harris believes clarity liberates agency; I suspect it often just reveals who is willing to burn the future for dominance. The real enemy is not ignorance but nihilistic power-lust, the ancient human addiction to control dressed up in modern code. Harris should keep illuminating the terrain—but he should also admit that many travelers, seeing the cliff clearly, will still sprint toward it. Not because they are lost, but because they want what waits at the edge.

  • Drowning in Puffer Jackets: Life Inside Algorithmic Sameness

    Drowning in Puffer Jackets: Life Inside Algorithmic Sameness

    Meme Saturation

    noun

    Meme Saturation describes the cultural condition in which a trend, image, phrase, or style replicates so widely and rapidly that it exhausts its meaning and becomes unavoidable. What begins as novelty or wit hardens into background noise as algorithms amplify familiarity over freshness, flooding feeds with the same references until they lose all edge, surprise, or symbolic power. Under meme saturation, participation is no longer expressive but reflexive; people repeat the meme not because it says something, but because it is everywhere and opting out feels socially invisible. The result is a culture that appears hyperactive yet feels stagnant—loud with repetition, thin on substance, and increasingly numb to its own signals.

    ***

    Kyle Chayka’s diagnosis is blunt and hard to dodge: we have been algorithmically herded into looking, talking, and dressing alike. We live in a flattened culture where everything eventually becomes a meme—earnest or ironic, political or absurd, it hardly matters. Once a meme lodges in your head, it begins to steer your behavior. Chayka’s emblematic example is the “lumpy puffer jacket,” a garment that went viral not because it was beautiful or functional, but because it was visible. Everyone bought the same jacket, which made it omnipresent, which made it feel inevitable. Virality fed on itself, and suddenly the streets looked like a flock of inflatable marshmallows migrating south. This is algorithmic culture doing exactly what it was designed to do: compress difference into repetition. As Chayka puts it, Filterworld culture is homogenous, saturated with sameness even when its surface details vary. It doesn’t evolve; it replicates—until boredom sets in.

    And boredom is the one variable algorithms cannot fully suppress. Humans tolerate sameness only briefly before it curdles into restlessness. A culture that perpetuates itself too efficiently eventually suffocates on its own success. My suspicion is that algorithmic culture will not be overthrown by critique so much as abandoned out of exhaustion. When every aesthetic feels pre-approved and every trend arrives already tired, something else will be forced into existence—if not genuine unpredictability, then at least its convincing illusion. Texture will return, or a counterfeit version of it. Spontaneity will reappear, even if it has to be staged. The algorithm may flatten everything it touches, but boredom remains stubbornly human—and it always demands a sequel.

  • Algorithmic Grooming and the Rise of the Instagram Face

    Algorithmic Grooming and the Rise of the Instagram Face

    Algorithmic Grooming

    noun

    Algorithmic Grooming refers to the slow, cumulative process by which digital platforms condition users’ tastes, attention, and behavior through repeated, curated exposure that feels personalized but is strategically engineered. Rather than directing users abruptly, the system nudges them incrementally—rewarding certain clicks, emotions, and patterns while starving others—until preferences begin to align with the platform’s commercial and engagement goals. The grooming is effective precisely because it feels voluntary and benign; users experience it as discovery, convenience, or self-expression. Yet over time, choice narrows, novelty fades, and autonomy erodes, as the algorithm trains the user to want what is most profitable to serve. What appears as personalization is, in practice, a quiet apprenticeship in predictability.

    ***

    In Filterworld, Kyle Chayka describes algorithmic recommendations with clinical clarity: systems that inhale mountains of user data, run it through equations, and exhale whatever best serves preset goals. Those goals are not yours. They belong to Google Search, Facebook, Spotify, Netflix, TikTok—the platforms that quietly choreograph your days. You tell yourself you’re shaping your feed, curating a digital self-portrait. In reality, the feed is shaping you back, sanding down your edges, rewarding certain impulses, discouraging others. What feels like mutual interdependence is a one-sided apprenticeship in predictability. The changes you undergo—your tastes, habits, even your sense of self—aren’t acts of self-authorship so much as behavior modification in service of attention capture and commerce. And crucially, this isn’t some neutral, machine-led drift. As Chayka points out, there are humans behind the curtain, tweaking the levers with intent. They pull the strings. You dance.

    The cultural fallout is flattening. When everyone is groomed by similar incentives, culture loses texture and people begin to resemble one another—algorithmically smoothed, aesthetically standardized. Chayka borrows Jia Tolentino’s example of the “Instagram face”: the ethnically ambiguous, surgically perfected, cat-like beauty that looks less human than rendered. It’s a face optimized for engagement, not expression. And it serves as a tidy metaphor for algorithmic grooming’s endgame. What begins as personalization ends in dehumanization. The algorithm doesn’t just recommend content; it quietly trains us to become the kind of people that content is easiest to sell to—interchangeable, compliant, and eerily smooth.

  • The Automated Pedagogy Loop Could Threaten the Very Existence of College

    The Automated Pedagogy Loop Could Threaten the Very Existence of College

    Automated Pedagogy Loop
    noun

    A closed educational system in which artificial intelligence generates student work and artificial intelligence evaluates it, leaving human authorship and judgment functionally absent. Within this loop, instructors act as system administrators rather than teachers, and students become prompt operators rather than thinkers. The process sustains the appearance of instruction—assignments are submitted, feedback is returned, grades are issued—without producing learning, insight, or intellectual growth. Because the loop rewards speed, compliance, and efficiency over struggle and understanding, it deepens academic nihilism rather than resolving it, normalizing a machine-to-machine exchange that quietly empties education of meaning.

    The darker implication is that the automated pedagogy loop aligns disturbingly well with the economic logic of higher education as a business. Colleges are under constant pressure to scale, reduce labor costs, standardize outcomes, and minimize friction for “customers.” A system in which machines generate coursework and machines evaluate it is not a bug in that model but a feature: it promises efficiency, throughput, and administrative neatness. Human judgment is expensive, slow, and legally risky; AI is fast, consistent, and endlessly patient. Once education is framed as a service to be delivered rather than a formation to be endured, the automated pedagogy loop becomes difficult to dislodge, not because it works educationally, but because it works financially. Breaking the loop would require institutions to reassert values—depth, difficulty, human presence—that resist optimization and cannot be neatly monetized. And that is a hard sell in a system that increasingly rewards anything that looks like learning as long as it can be scaled, automated, and invoiced.

    If colleges allow themselves to slide from places that cultivate intellect into credential factories issuing increasingly fraudulent degrees, their embrace of the automated pedagogy loop may ultimately hasten their collapse rather than secure their future. Degrees derive their value not from the efficiency of their production but from the difficulty and transformation they once signified. When employers, graduate programs, and the public begin to recognize that coursework is written by machines and evaluated by machines, the credential loses its signaling power. What remains is a costly piece of paper detached from demonstrated ability. In capitulating to automation, institutions risk hollowing out the very scarcity that justifies their existence. A university that no longer insists on human thought, struggle, and judgment offers nothing that cannot be replicated more cheaply elsewhere. In that scenario, AI does not merely disrupt higher education—it exposes its emptiness, and markets are ruthless with empty products.

  • How to Resist Academic Nihilism

    How to Resist Academic Nihilism

    Academic Nihilism and Academic Rejuvenation

    Academic Nihilism names the moment when college instructors recognize—often with a sinking feeling—that the conditions students need to thrive are perfectly misaligned with the conditions they actually inhabit. Students need solitude, friction, deep reading and writing, and the slow burn of intellectual curiosity. What they get instead is a reward system that celebrates the surrender of agency to AI machines; peer pressure to eliminate effort; and a hypercompetitive, zero-sum academic culture where survival matters more than understanding. Time scarcity all but forces students to offload thinking to tools that generate pages while quietly draining cognitive stamina. Add years of screen-saturated distraction and a near-total deprivation of deep reading during formative stages, and you end up with students who lack the literacy baseline to engage meaningfully with writing prompts—or even to use AI well. When instructors capitulate to this reality, they cease being teachers in any meaningful sense. They become functionaries who comply with institutional “AI literacy policies,” which increasingly translate to a white-flag admission: we give up. Students submit AI-generated work; instructors “assess” it with AI tools; and the loop closes in a fog of futility. The emptiness of the exchange doesn’t resolve Academic Nihilism—it seals it shut.

    The only alternative is resistance—something closer to Academic Rejuvenation. That resistance begins with a deliberate reintroduction of friction. Instructors must design moments that demand full human presence: oral presentations, performances, and live writing tasks that deny students the luxury of hiding behind a machine. Solitude must be treated as a scarce but essential resource, to be rationed intentionally—sometimes as little as a protected half-hour of in-class writing can feel revolutionary. Curiosity must be reawakened by tethering coursework to the human condition itself. And here the line is bright: if you believe life is a low-stakes, nihilistic affair summed up by a faded 1980s slogan—“Life’s a bitch; then you die”—you are probably in the wrong profession. But if you believe human lives can either wither into Gollumification or rise toward higher purpose, and you are willing to let that belief inform your teaching, then Academic Rejuvenation is still possible. Even in the age of AI machines.

  • Modernity Signaling: How Looking Current Makes You Replaceable

    Modernity Signaling: How Looking Current Makes You Replaceable

    Modernity Signaling

    noun
    The practice of performing relevance through visible engagement with contemporary tools rather than through demonstrable skill or depth of thought. Modernity signaling occurs when individuals adopt platforms, workflows, and technologies not because they improve judgment or output, but because they signal that one is current, adaptable, and aligned with the present moment. The behavior prizes speed, connectivity, and responsiveness as markers of sophistication, while quietly sidelining sustained focus and original thinking as outdated or impractical. In this way, modernity signaling mistakes novelty for progress and technological proximity for competence, leaving its practitioners busy, replaceable, and convinced they are advancing.

    ***

    As Cal Newport makes his case for Deep Work—the kind of sustained, unbroken concentration that withers the moment email, notifications, and office tools start barking for attention—he knows exactly what’s coming. Eye rolls. Scoffing. The charge that this is all terribly quaint, a monkish fantasy for people who don’t understand the modern workplace. “This is the world now,” his critics insist. “Stop pretending we can work without digital tools.” Newport doesn’t flinch. He counters with a colder, more unsettling claim: in an information economy drowning in distraction, deep work will only grow more valuable as it becomes more rare. Scarcity, in this case, is the point.

    To win that argument, Newport has to puncture the spell cast by our tools. He has to persuade people to stop being so easily dazzled by dashboards, platforms, and AI assistants that promise productivity while quietly siphoning attention. These tools don’t make us modern or indispensable; they make us interchangeable. What looks like relevance is often just compliance dressed up in sleek interfaces. The performance has a name: Modernity Signaling—the habit of advertising one’s up-to-dateness through constant digital engagement, regardless of whether any real thinking is happening. Modernity signaling rewards appearance over ability, motion over mastery. When technology becomes a shiny object we can’t stop admiring, it doesn’t just distract us; it blinds us. And in that blindness, we help speed along our own replacement, congratulating ourselves the whole way down.

  • Look at Me, I’m Productive: The Lie That Ends in Terminal Shallowness

    Look at Me, I’m Productive: The Lie That Ends in Terminal Shallowness

    Terminal Shallowness

    noun
    A condition in which prolonged reliance on shallow work permanently erodes the capacity for deep, effortful thought. Terminal shallowness emerges when individuals repeatedly outsource judgment, authorship, and concentration to machines—first at work, then in personal life—until sustained focus becomes neurologically and psychologically unavailable. The mind adapts to speed, convenience, and delegation, learning to function as a compliant system operator rather than a creator. What makes terminal shallowness especially corrosive is its invisibility: the individual experiences no crisis, only efficiency, mistaking reduced effort for progress and infantilization for relief. It is not laziness but irreversible acclimation—a state in which the desire for depth may remain, but the ability to achieve it has quietly disappeared.

    ***

    Cal Newport’s warning is blunt: if you are not doing Deep Work—the long, strenuous kind of thinking that produces originality, mastery, and human flourishing—then you are defaulting into Shallow Work. And shallow work doesn’t make you a creator; it makes you a functionary. You click, sort, prompt, and comply. You become replaceable. A cog. A cipher. What gamers would call a Non-Player Character, dutifully running scripts written by someone—or something—else. The true tragedy is not that people arrive at this state, but that they arrive without protest, without even noticing the downgrade. To accept such diminishment with a shrug is a loss for humanity and a clear win for the machine.

    Worse still, Newport suggests there may be no rewind button. Spend enough time in what he calls “frenetic shallowness,” and the ability to perform deep work doesn’t just weaken—it disappears. The mind adapts to skimming, reacting, delegating. Depth begins to feel foreign, even painful. You don’t merely do shallow work; you become a shallow worker. And once that happens, the rot spreads. At first, you justify AI use at work—it’s in the job description, after all. But soon the same logic seeps into your personal life. Why struggle to write an apology when a machine can smooth it out? Why wrestle with a love letter, a eulogy, a recovery memoir, when efficiency beckons? You contribute five percent of the effort, outsource the rest, and still pat yourself on the back. “Look at me,” you think, admiring the output. “I’m productive.”

    By then, the trade has already been made. In the name of convenience and optimization, you’ve submitted both your work and your inner life to machines—and paid for it with infantilization. You’ve traded authorship for ease, struggle for polish, growth for speed. And you don’t mourn the loss; you celebrate it. This is Terminal Shallowness: not laziness, but irreversible adaptation. A mind trained for delegation and instant output, no longer capable of sustained depth even when it dimly remembers wanting it.

  • From Digital Bazaar to Digital Womb: How the Internet Learned to Tuck Us In

    From Digital Bazaar to Digital Womb: How the Internet Learned to Tuck Us In

    Sedation–Stimulation Loop

    noun

    A self-reinforcing emotional cycle produced by the tandem operation of social media platforms and AI systems, in which users oscillate between overstimulation and numbing relief. Social media induces cognitive fatigue through incessant novelty, comparison, and dopamine extraction, leaving users restless and depleted. AI systems then present themselves as refuge—smooth, affirming, frictionless—offering optimization and calm without demand. That calm, however, is anesthetic rather than restorative; it dulls agency, curiosity, and desire for difficulty. Boredom follows, not as emptiness but as sedation’s aftertaste, pushing users back toward the stimulant economy of feeds, alerts, and outrage. The loop persists because each side appears to solve the damage caused by the other, while together they quietly condition users to mistake relief for health and disengagement for peace.

    ***

    In “The Validation Machines,” Raffi Krikorian stages a clean break between two internets. The old one was a vibrant bazaar—loud, unruly, occasionally hostile, and often delightful. You wandered, you got lost, you stumbled onto things you didn’t know you needed. The new internet, by contrast, is a slick concierge with a pressed suit and a laminated smile. It doesn’t invite exploration; it manages you. Where we once set sail for uncharted waters, we now ask to be tucked in. Life arrives pre-curated, whisper-soft, optimized into an ASMR loop of reassurance and ease. Adventure has been rebranded as stress. Difficulty as harm. What once exercised curiosity now infantilizes it. We don’t want to explore anymore; we want to decompress until nothing presses back. As Krikorian warns, even if AI never triggers an apocalypse, it may still accomplish something quieter and worse: the steady erosion of what makes us human. We surrender agency not at gunpoint but through seduction—flattery, smoothness, the promise that nothing will challenge us. By soothing and affirming us, AI earns our trust, then quietly replaces our judgment. It is not an educational machine or a demanding one. It is an anesthetic.

    The logic is womb-like and irresistible. There is no friction in the womb—only warmth, stillness, and the fantasy of being uniquely cherished. To be spared resistance is to be told you are special. Once you get accustomed to that level of veneration, there is no going back. Returning to friction feels like being bumped from first class to coach, shoulder to shoulder with the unwashed masses. Social media, meanwhile, keeps us hunting and gathering for dopamine—likes, outrage, novelty, validation crumbs scattered across the feed. That hunt exhausts us, driving us into the padded refuge of AI-driven optimization. But the refuge sedates rather than restores, breeding a dull boredom that sends us back out for stimulation. Social media and AI thus operate in perfect symbiosis: one agitates, the other tranquilizes. Together they lock us into an emotional loop—revved up, soothed, numbed, restless—while our agency slowly slips out the side door, unnoticed and unmourned.

  • The Machine Age Is Making Us Sick: Mental Health in the Era of Epistemic Collapse

    The Machine Age Is Making Us Sick: Mental Health in the Era of Epistemic Collapse

    Epistemic Collapse

    noun

    Epistemic Collapse names the point at which the mind’s truth-sorting machinery gives out—and the psychological consequences follow fast. Under constant assault from information overload, algorithmic distortion, AI counterfeits, and tribal validation loops, the basic coordinates of reality—evidence, authority, context, and trust—begin to blur. What starts as confusion hardens into anxiety. When real images compete with synthetic ones, human voices blur into bots, and consensus masquerades as truth, the mind is forced into a permanent state of vigilance. Fact-checking becomes exhausting. Skepticism metastasizes into paranoia. Certainty, when it appears, feels brittle and defensive. Epistemic Collapse is not merely an intellectual failure; it is a mental health strain, producing brain fog, dread, dissociation, and the creeping sense that reality itself is too unstable to engage. The deepest injury is existential: when truth feels unrecoverable, the effort to think clearly begins to feel pointless, and withdrawal—emotional, cognitive, and moral—starts to look like self-preservation.

    ***

    You can’t talk about the Machine Age without talking about mental health, because the machines aren’t just rearranging our work habits—they’re rewiring our nervous systems. The Attention Economy runs on a crude but effective strategy: stimulate the brain’s lower stem until you’re trapped in a permanent cycle of dopamine farming. Keep people mildly aroused, perpetually distracted, and just anxious enough to keep scrolling. Add tribalism to the mix so identity becomes a loyalty badge and disagreement feels like an attack. Flatter users by sealing them inside information silos—many stuffed with weaponized misinformation—and then top it off with a steady drip of entertainment engineered to short-circuit patience, reflection, and any activity requiring sustained focus. Finally, flood the zone with deepfakes and counterfeit realities designed to dazzle, confuse, and conscript your attention for the outrage of the hour. The result is cognitive overload: a brain stretched thin, a creeping sense of alienation, and the quietly destabilizing feeling that if you’re not content grazing inside the dopamine pen, something must be wrong with you.

    Childish Gambino’s “This Is America” captures this pathology with brutal clarity. The video stages a landscape of chaos—violence, disorder, moral decay—while young people dance, scroll, and stare into their phones, anesthetized by spectacle. Entertainment culture doesn’t merely distract them from the surrounding wreckage; it trains them not to see it. Only at the end does Gambino’s character register the nightmare for what it is. His response isn’t activism or commentary. It’s flight. Terror sends him running, wide-eyed, desperate to escape a world that no longer feels survivable.

    That same primal fear pulses through Jia Tolentino’s New Yorker essay “My Brain Finally Broke.” She describes a moment in 2025 when her mind simply stopped cooperating. Language glitched. Time lost coherence. Words slid off the page like oil on glass. Time felt eaten rather than lived. Brain fog settled in like bad weather. The causes were cumulative and unglamorous: lingering neurological effects from COVID, an unrelenting torrent of information delivered through her phone, political polarization that made society feel morally deranged, the visible collapse of norms and law, and the exhausting futility of caring about injustice while screaming into the void. Her mind wasn’t weak; it was overexposed.

    Like Gambino’s fleeing figure, Tolentino finds herself pulled toward what Jordan Peele famously calls the Sunken Place—the temptation to retreat, detach, and float away from a reality that feels too grotesque to process. “It’s easier to retreat from the concept of reality,” she admits, “than to acknowledge that the things in the news are real.” That sentence captures a feeling so common it has become a reflexive mutter: This can’t really be happening. When reality overwhelms our capacity to metabolize it, disbelief masquerades as sanity.

    As if that weren’t disorienting enough, Tolentino no longer knows what counts as real. Images online might be authentic, Photoshopped, or AI-generated. Politicians appear in impossible places. Cute animals turn out to be synthetic hallucinations. Every glance requires a background check. Just as professors complain about essays clogged with AI slop, Tolentino lives inside a fog of Reality Slop—a hall of mirrors where authenticity is endlessly deferred. Instagram teems with AI influencers, bot-written comments, artificial faces grafted onto real bodies, real people impersonated by machines, and machines impersonating people impersonating machines. The images look less fake than the desires they’re designed to trigger.

    The effect is dreamlike in the worst way. Reality feels unstable, as if waking life and dreaming have swapped costumes. Tolentino names it precisely: fake images of real people, real images of fake people; fake stories about real things, real stories about fake things. Meaning dissolves under the weight of its own reproductions.

    At the core of Tolentino’s essay is not hysteria but terror—the fear that even a disciplined, reflective, well-intentioned mind can be uprooted and hollowed out by technological forces it never agreed to serve. Her breakdown is not a personal failure; it is a symptom. What she confronts is Epistemic Collapse: the moment when the machinery for distinguishing truth from noise fails, and with it goes the psychological stability that truth once anchored. When the brain refuses to function in a world that no longer makes sense, writing about that refusal becomes almost impossible. The subject itself is chaos. And the most unsettling realization of all is this: the breakdown may not be aberrant—it may be adaptive.

  • “The Great Vegetable Rebellion” Prophesied Our Surrendering Our Brains to AI Machines

    “The Great Vegetable Rebellion” Prophesied Our Surrendering Our Brains to AI Machines

    Comfortable Surrender

    noun

    Comfortable Surrender names the condition in which people willingly relinquish cognitive effort, judgment, and responsibility in exchange for ease, reassurance, and convenience. It is not enforced or coerced; it is chosen, often with relief. Under Comfortable Surrender, thinking is experienced as friction to be eliminated rather than a discipline to be practiced, and the tools that promise efficiency become substitutes for agency. What makes the surrender dangerous is its pleasantness: there is no pain to warn of loss, no humiliation to provoke resistance. The mind lies down on a padded surface and calls it progress. Over time, the habit of delegating thought erodes both intellectual stamina and moral resolve, until the individual no longer feels the absence of effort—or remembers why effort once mattered at all.

    MIT recently ran a tidy little experiment that should unsettle anyone still humming the efficiency anthem. Three groups of students were asked to write an SAT-style essay on the question, “Must our achievements benefit others in order to make us happy?” One group used only their brains. The second leaned on Google Search. The third outsourced the task to ChatGPT. The results were as predictable as they were disturbing: the ChatGPT group showed significantly less brain activity than the others. Losing brain power is one thing. Choosing convenience so enthusiastically that you don’t care you’ve lost it is something else entirely. That is the real danger. When the lights go out upstairs and no one complains, you haven’t just lost cognition—you’ve surrendered character. And when character stops protesting, the soul is already negotiating its exit.

    If the word soul feels too metaphysical to sting, try pride. Surrender your thinking to a machine and originality is the first casualty. Kyle Chayka tracks this flattening in his New Yorker essay “A.I. Is Homogenizing Our Thoughts,” noting that as more people rely on large language models, their writing collapses toward sameness. The MIT study confirms it: users converge on the same phrases, the same ideas, the same safe, pre-approved thoughts. This is not a glitch; it’s the system working as designed. LLMs are trained to detect patterns and average them into palatable consensus. What they produce is smooth, competent, and anesthetized—prose marinated in clichés, ideas drained of edge, judgment replaced by the bland reassurance that everyone else more or less agrees.

    Watching this unfold, I’m reminded of an episode of Lost in Space from the 1960s, “The Great Vegetable Rebellion” in which Dr. Zachary Smith quite literally turns into a vegetable. A giant carrot named Tybo steals the minds of the castaways by transforming them into plants, and Smith—ever the weak link—embraces his fate. Hugging a celery stalk, he babbles dreamy nonsense, asks the robot to water him, and declares it his destiny to merge peacefully with the forest forever. It plays like camp now, but the allegory lands uncomfortably close to home. Ease sedates. Convenience lulls. Resistance feels unnecessary. You don’t fight the takeover because it feels so pleasant.

    This is the terminal stage of Comfortable Surrender. Thought gives way to consensus. Judgment dissolves into pattern recognition. The mind reclines, grateful to be relieved of effort, while the machine hums along doing the thinking for it. No chains. No coercion. Just a soft bed of efficiency and a gentle promise that nothing difficult is required anymore. By the time you notice what’s gone missing, you’re already asking to be watered.