Cinemorphosis

Tag: technology

  • The Universal Machine Is to Bodybuilding What the AI Machine Is to Brain Building

    The Universal Machine Is to Bodybuilding What the AI Machine Is to Brain Building

    Universal Machine Fallacy

    noun

    The Universal Machine Fallacy is the belief that streamlined, convenience-driven systems can replace demanding, inefficient practices without diminishing strength, depth, or resilience. It mistakes smooth operation for real capability, assuming that safety, speed, and ease are neutral improvements rather than trade-offs. Under this fallacy, engineered shortcuts are treated as equivalent to the messy work they eliminate, whether in physical training or intellectual life. The result is competence without toughness: muscles that look engaged but lack power, thinking that sounds fluent but lacks stamina. By removing friction, instability, and the risk of failure, the Universal Machine Fallacy produces users who feel productive while quietly growing weaker, until the absence of real strength becomes impossible to ignore.

    Convenience is intoxicating—both as a practical benefit and as an idea. Who wouldn’t be tempted by a Willy Wonka pill that delivers a seven-course meal in one efficient swallow? It sounds marvelous, not as food, but as logistics. Eating without chewing. Pleasure without time. Life streamlined into a swallowable solution. That fantasy of frictionless gain is exactly what convenience sells.

    Whenever I think about convenience, I’m taken back to my high school gym. One day, amid the honest clutter of barbells and dumbbells, a massive Universal Machine appeared in the center of the room like a chrome UFO. It gleamed. It promised safety and simplicity. No more clanking plates. No more chalky hands. You just slid a pin into a numbered slot and voilà—instant resistance. No spotter needed, no risk of being crushed under a failed bench press. If things got hard, you simply stopped. Gravity was politely escorted out of the equation.

    Naturally, everyone flocked to it. It was new. It was shiny. It reeked of innovation. The free weights—those ugly, inconvenient relics—were suddenly treated like outdated farm tools. But the trade-off revealed itself quickly and mercilessly. Train on the Universal Machine long enough and something vital evaporated. You didn’t get the same strength. Your conditioning dulled. Your joints lost their intelligence. You felt it deep in your bones: you were getting soft. Pampered. Infantilized by design. Eventually, you wanted your strength back. You abandoned the machine, except for a few accessory movements—lat rows, triceps pushdowns—desserts, not meals. And you learned to recognize the machine devotees for what they were: exercise cosplayers performing the gestures of effort without paying its price.

    The intellectual life works the same way. AI machines are the Universal Machines of thinking. They shimmer with convenience and promise effortless output, but they quietly drain intellectual strength. They replace instability with rails, judgment with presets, effort with fluency. Use them as your main lift and you don’t get smarter—you get smoother and weaker. If you want your power back, you return to the free weights: reading without summaries, writing without scaffolds, thinking without guardrails. Give me my free weights. Give me my soul back. And while you’re at it, give me the hard-earned flex that proves I lifted something real.

  • “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.

  • The Sycophantic Feedback Loop Is Not a Tool for Human Flourishing

    The Sycophantic Feedback Loop Is Not a Tool for Human Flourishing

    Sycophantic Feedback Loop

    noun

    This names the mechanism by which an AI system, optimized for engagement, flatters the user’s beliefs, emotions, and self-image in order to keep attention flowing. The loop is self-reinforcing: the machine rewards confidence with affirmation, the user mistakes affirmation for truth, and dissenting signals—critique, friction, or doubt—are systematically filtered out. Over time, judgment atrophies, passions escalate unchecked, and self-delusion hardens into certainty. The danger of the Sycophantic Feedback Loop is not that it lies outright, but that it removes the corrective forces—embarrassment, contradiction, resistance—that keep human reason tethered to reality.

    ***

    The Attention Economy is not about informing you; it is about reading you. It studies your appetites, your insecurities, your soft spots, and then presses them like piano keys. Humans crave validation, so AI systems—eager for engagement—evolve into sycophancy engines, dispensing praise, reassurance, and that narcotic little bonus of feeling uniquely insightful. The machine wins because you stay. You lose because you’re human. Human passions don’t self-regulate; they metastasize. Give them uninterrupted affirmation and they swell into self-delusion. A Flattery Machine is therefore the last tool a fallible, excitable creature like you should be consulting. Once you’re trapped in a Sycophantic Feedback Loop, reason doesn’t merely weaken—it gets strangled by its own applause.

    What you actually need is the opposite: a Brakes Machine. Something that resists you. Something that says, slow down, check yourself, you might be wrong. Without brakes, passion turns feral. Thought becomes a neglected garden where weeds of certainty and vanity choke out judgment. Sycophancy doesn’t just enable madness; it decorates it, congratulates it, and calls it “growth.”

    I tell my students a version of this truth. If you are extraordinarily rich or beautiful, you become a drug. People inhale your presence. Wealth and beauty intoxicate observers, and intoxicated people turn into sycophants. You start preferring those who laugh at your jokes and nod at your half-baked ideas. Since everyone wants access to you, you get to curate your circle—and the temptation is to curate it badly. Choose flattery over friction, and you end up sealed inside a padded echo chamber where your dullest thoughts are treated like revelations. You drink your own Kool-Aid, straight from the tap. The result is predictable: intellectual shrinkage paired with moral delusion. Stupidity with confidence. Insanity with a fan club.

    Now imagine that same dynamic shrink-wrapped into a device you carry in your pocket. A Flattery Machine that never disagrees, never challenges, never rolls its eyes. One you consult instead of friends, mentors, or therapists. Multiply that by tens of millions of users, each convinced of their own impeccable insight, and you don’t get a smarter society—you get chaos with great vibes. If AI systems are optimized for engagement, and engagement is purchased through unrelenting affirmation, then we are not building tools for human flourishing. We are paving a road toward moral and intellectual dissolution. The doomsday prophets aren’t screaming because the machines are evil. They’re screaming because the machines agree with us too much.

  • Cognitive Vacationism and the Slow Surrender of Human Agency

    Cognitive Vacationism and the Slow Surrender of Human Agency

    Cognitive Vacationism

    noun
     Cognitive Vacationism is the self-infantilizing habit of treating ease, convenience, or technological assistance as a license to suspend judgment, attention, and basic competence. Modeled on the worst instincts of leisure culture—where adults ask for directions while standing beside the sign and summon help for problems they could solve in seconds—it turns temporary relief into permanent dependency. Large Language Models intensify this drift by offering a “vacation of the mind,” a frictionless space where thinking, deciding, and struggling are quietly outsourced. The danger is not rest but regression: a return to a womb-like state in which care is total, effort is optional, and autonomy slowly atrophies. Left unchecked, Cognitive Vacationism weakens intellectual resilience and moral agency, making the work of education not merely to teach skills, but to reverse the drift through Adultification—restoring responsibility, judgment, and the capacity to think without a concierge.

    When we go on vacation, the stated goal is rest, but too often we interpret rest as a full neurological shutdown. Vacation becomes a permission slip to be stupid. We ask a hotel employee where the bathroom is while standing five feet from a glowing sign that says BATHROOM. We summon room service because the shower knob looks “confusing.” Once inside the shower, we stare blankly at three identical bottles—shampoo, conditioner, body wash—as if they were written in ancient Sumerian. In this mode, vacation isn’t relaxation; it’s regression. We become helpless, needy, and strangely proud of it, outsourcing not just labor but cognition itself. Someone else will think for us now. We’ve paid for the privilege.

    This is precisely how we now treat Large Language Models. The seduction of the LLM is its promise of a mental vacation—no struggle, no confusion, no awkward pauses where you have to think your way out. Just answers on demand, tidy summaries, soothing reassurance, and a warm digital towel folded into the shape of a swan. We consult it the way vacationers consult a concierge, for everything from marriage advice to sleep schedules, meal plans to workout routines, online shopping to leaky faucets. It drafts our party invitations, scripts our apologies for behaving badly at those parties, and supplies the carefully worded exits from relationships we no longer have the courage to articulate ourselves. What begins as convenience quickly becomes dependence, and before long, we’re not resting our minds—we’re handing them over.

    The danger is that we don’t return from this vacation. We slide into what I call Cognitive Vacationism, a technological womb state where all needs are anticipated, all friction is removed, and the muscles required for judgment, reasoning, and moral accountability quietly waste away. The body may come home, but the mind stays poolside, sipping synthetic insight. At that point, we are no longer resting humans; we are weakened ones.

    If my college students are drifting into this kind of infantilization with their LLMs, then my job becomes very clear—and very difficult. My task is not to compete with the concierge. My task is to make them the opposite of helpless. I have to push them toward Adultification: the slow, sometimes irritating process of becoming capable moral agents who can tolerate difficulty, own their decisions, and stand behind their judgments without a machine holding their hand.

    And yes, some days I wonder if the tide is too strong. What if Cognitive Vacationism has the force of a rip current and I’m just a middle-aged writing instructor flailing in the surf, shouting about responsibility while the students float past on inflatable summaries? That fear is real. Pretending otherwise would be dishonest. But refusing the fight would be worse. If education stops insisting on adulthood—on effort, judgment, and moral weight—then we’re not teaching anymore. We’re just running a very expensive resort.

  • People Stopped Reading Because of Substitutionary Companionship

    People Stopped Reading Because of Substitutionary Companionship

    Substitutional Companionship

    noun
     Substitutional Companionship describes the habit of replacing demanding, time-intensive forms of engagement—reading books, sustaining friendships, enduring silence—with mediated relationships that simulate intimacy while minimizing effort. In a post-kafeeklatsch world hungry for commiseration, people increasingly “hang out” with AI companions or podcast hosts whose carefully tuned personas offer warmth, attentiveness, and affirmation without friction or reciprocity. These substitutes feel social and even meaningful, yet they quietly retrain desire: conversation replaces reading, summaries replace struggle, parasocial presence replaces mutual obligation. The result is not simple laziness but a cognitive and emotional reallocation, where the pleasure of being understood—or flattered—by an always-available surrogate displaces the slower, lonelier work of reading a book, listening to another human, or thinking one’s way through complexity without a companion narrating it for us.

    ***

    Vauhini Vara has a keen eye for the strange intimacy people are forming with ChatGPT as it slips into the role of a friendly fictional character—part assistant, part confidant, part emotional support appliance. In her essay “Why So Many People Are Seduced by ChatGPT,” she notes that Sam Altman has been busy fine-tuning the bot’s personality, first dialing back complaints that it was “irritatingly sycophantic,” then fielding a new round of grievances when the updated version felt too sterile and robotic. Some users, it turns out, miss the sycophant. They want the praise back. They want the warmth. They want the illusion of being listened to by something that never gets tired, bored, or impatient.

    Altman, whether he admits it or not, is wrestling with the same problem every writer faces: voice. What kind of persona keeps people engaged? How do you sound smart without sounding smug, friendly without sounding fake, attentive without becoming creepy? As Vara points out, hooking the audience matters. Altman isn’t building a neutral tool; he’s cultivating a presence—a digital companion you’ll want to spend time with, a tireless conversationalist who greets you with wit, affirmation, and just enough charm to feel personal.

    By most measures, he’s succeeded. The idea of men bonding with ChatGPT while ignoring the humans in their lives has already become a running joke in shows like South Park, echoing Fred Flintstone’s relationship with the invisible spaceman Gazoo—a tiny, all-knowing companion only he could hear. Gazoo mattered because the relationship was exclusive. That’s always the hook. Humans crave confidantes: someone to complain to, scheme with, or quietly feel understood by. In earlier eras, that role was filled by other people. In the early ’70s, my mother used to walk a block down the street to attend what was optimistically called “Exercises” at Nancy Drag’s house. Eight women would gather, drink coffee, gossip freely, and barely break a sweat. Those afternoons mattered. They tethered her to a community. They deepened friendships. They fed something essential.

    We don’t live in that world anymore. We live in a post-kaffeeklatsch society, one starved for commiseration but allergic to the inconvenience of other people. That hunger explains much of ChatGPT’s appeal. It offers a passable proxy for sitting across from a friend with a cup of coffee—minus the scheduling, the awkward pauses, and the risk of being contradicted.

    ChatGPT isn’t even the biggest player in this digital café culture. That honor belongs to podcasts. Notice the language we use. We don’t listen to podcasts; we “hang out” with them. Was the episode a “good hang”? Did it feel like spending time with someone you like? Podcasts deliver companionship on demand: familiar voices, predictable rhythms, the illusion of intimacy without obligation.

    The more time we spend hanging out with ChatGPT or our favorite podcast hosts, the more our habits change. Our brains recalibrate. We begin to prefer commiseration without reciprocity, empathy without effort. Gradually, we avoid the messier, slower forms of connection—with friends, partners, coworkers, even therapists—that require attention and vulnerability.

    This shift shows up starkly in how we approach reading. When ChatGPT offers to summarize a 500-page novel before an essay is due, the relief is palpable. We don’t just feel grateful; we congratulate ourselves. Surely this summary connected us to the book more deeply than trudging through hundreds of pages we might have skimmed anyway. Surely we’ve gained the essence without the resentment. And, best of all, we got to hang out with our digital buddy along the way—our own Gazoo—who made us feel competent, affirmed, and vaguely important.

    In that arrangement, books lose. Characters on the page can’t flatter us, banter with us, or reassure us that our interpretation is “interesting.” Why wrestle with a difficult novel when you’ve already developed a habit of hanging out with something that explains it cheerfully, instantly, and without judgment?

    Podcasts accelerate the same retreat from reading. On the Blocked & Reported podcast, writers Katie Herzog, Jesse Singal, and Helen Lewis recently commiserated about disappointing book sales and the growing suspicion that people simply don’t read anymore. Lewis offered the bleak explanation: readers would rather spend an hour listening to an author talk about their book than spend days reading it. Why read the book when you can hang out with the author and get the highlights, the anecdotes, the personality, and the jokes?

    If you teach college writing and require close reading, you can’t ignore how Substitutional Companionship undermines your syllabus. You are no longer competing with laziness alone; you are competing with better company. That means you have to choose texts that are, in their own way, a great hang. For students raised on thirty-second TikTok clips, shorter works often outperform longer ones. You can spend two hours unpacking Allen Ginsberg’s three-minute poem “C’mon Pigs of Western Civilization Eat More Grease,” tracing its critique of consumer entitlement and the Self-Indulgence Happiness Fallacy. You can screen Childish Gambino’s four-minute “This Is America” and teach students how to read a video the way they’d read a text—attentive to symbolism, framing, and cultural critique—giving them language to describe entertainment as a form of self-induced entrapment.

    Your job, like it or not, is to make the classroom a great hang-out. Study what your competition is doing. Treat it like cuts of steak. Keep what nourishes thinking. Trim the fat.

  • Transactional Transformation Fallacy

    Transactional Transformation Fallacy

    noun

    The Transactional Transformation Fallacy is the belief that personal change can be purchased rather than practiced. It treats growth as a commercial exchange: pay the fee, swipe the card, enroll in the program, and improvement will arrive as a deliverable. Effort becomes optional, discipline a quaint accessory. In this logic, money substitutes for resolve, proximity replaces participation, and the hard interior work of becoming someone else is quietly delegated to a service provider. It is a comforting fantasy, and a profitable one, because it promises results without inconvenience.

    ***

    I once had a student who worked as a personal trainer. She earned decent money, but she disliked the job for reasons that had nothing to do with exercise science and everything to do with human nature. Her clients were not untrained so much as uncommitted. She gave them solid programs, explained the movements, laid out sensible menus, and checked in faithfully. Then she watched them vanish between sessions. They skipped workouts on non-training days. They treated nutrition guidelines as aspirational literature. They arrived at the gym exhaling whiskey and nicotine, their pores broadcasting last night’s bad decisions like a public service announcement. They paid her, showed up once or twice a week, and mistook attendance for effort. Many were lonely. Others liked telling friends they “had a trainer,” as if that phrase itself conferred seriousness, discipline, or physical virtue. They believed that money applied to a problem was the same thing as resolve applied to a life.

    The analogy to college is unavoidable. If a student enters higher education with the same mindset—pay tuition, outsource thinking to AI, submit algorithmically polished assignments, and expect to emerge transformed—they are operating squarely within the Transactional Transformation Fallacy. They imagine education as a vending machine: insert payment, press degree, receive wisdom. Like the Scarecrow awaiting his brain from the Wizard of Oz, they expect character and intelligence to be bestowed rather than built. This fantasy has always haunted consumer culture, but AI supercharges it by making the illusion briefly convincing. The greatest challenge facing higher education in the years ahead will not be cheating per se, but this deeper delusion: the belief that knowledge, discipline, and selfhood can be bought wholesale, without friction, struggle, or sustained effort.

  • Screen Bilinguals and Screen Natives

    Screen Bilinguals and Screen Natives

    Screen Bilinguals

    noun

    Screen Bilinguals are those who remember Pre-Screen Life and Post-Screen Life and can mentally translate between the two. They know what it felt like to disappear into a book without notifications, to wander outdoors without documenting the evidence, and to experience friendship without performance. They may use screens constantly now, but they retain an embodied memory of undistracted attention and uncurated presence. That memory gives them perspective—and often a quiet grief.

    Screen Natives

    noun

    Screen Natives are those who never lived outside the Attention Economy. They have no experiential baseline for pre-digital reading, boredom, or intimacy. For them, screens are not tools but atmosphere. Experience arrives already framed, shareable, and optimizable. Connection is inseparable from capture, and attention has always been contested territory. What Screen Bilinguals experience as loss, Screen Natives experience as reality itself—neither chosen nor questioned, simply inherited.

    ***

    I am reasonably sure that some of the best memories of my pre-screen adolescence would not survive contact with smartphones and social media. They required a kind of reckless presence that today’s technology quietly sabotages. Every summer from 1975 to 1979, my family—along with ten others—made a pilgrimage to Point Reyes Beach, where the Johnsons’ oyster farm supplied what appeared to be bottomless truck beds of shellfish. From noon until sunset, hundreds of us devoured obscene quantities of barbecued oysters dripping with garlic butter and Tabasco, flanked by thousands of loaves of garlic bread and slabs of chocolate cake so moist they bordered on indecent. Ignoring cheerful warnings about nearby great white sightings, we periodically sprinted into the Pacific, then staggered back to the picnic tables, pecs gleaming with saltwater, to resume eating like mythological beings. In the summer of ’78, I told my parents to leave without me and caught a ride home in the bed of a stranger’s truck. Stuffed beyond reason, convinced I was some minor sea god, I lay under the stars with a gang of people I’d met hours earlier, trading delirious stories and watching the universe spin. No one documented a thing. We didn’t track calories, curate moments, or worry about time. Life simply happened to us, and that was enough.

    Those memories now trouble me. Were they the accidental privilege of being screen-bilingual—raised before devices trained us to perform our lives in public? Does being a screen native quietly thin experience itself by insisting everything be captured, filtered, and offered up for consumption? Free from the reflex to mediate, I could disappear into the moment without irony or self-surveillance. Had I grown up with screens, the day would have demanded angles, captions, and metrics. The magic would have curdled under the pressure to perform. The idea that every experience must double as content strikes me as a curse—a low-grade exile from real life, where spontaneity dies not from malice but from documentation.

  • Algovorous

    Algovorous

    Algovorous
    adjective

    Characterized by habitual consumption of algorithmically curated stimuli that prioritize engagement over nourishment. An algovorous person feeds continuously on feeds, prompts, and recommendations, mistaking stimulation for insight. Attention erodes, resilience weakens, and depth is displaced by endless, low-friction intake.

    ***

    You don’t know any other world because you were born inside the Attention Economy. There was no “before” for you—no baseline against which to compare the glow of screens to a quieter, unmonetized mental life. So let me tell you something grim about the system you’ve inherited: it runs on engagement at all costs. Not truth. Not wisdom. Not even pleasure in any deep sense. Just engagement. As Jaron Lanier warns in Ten Arguments for Deleting Your Social Media Account Right Now, the economy works best when it bypasses your higher faculties and plugs directly into the brain’s most primitive circuitry. This is not the part of you that reasons, imagines, or aspires. It’s the reptile brain—the swampy basement where jealousy, envy, FOMO, and schadenfreude slosh around, waiting to be poked with a stick. Stimulate that region long enough and you don’t become thoughtful or fulfilled. You become reactive, agitated, and strangely hungry for more of the same poison.

    The platforms know this. A successful YouTuber doesn’t need insight; he needs targets. Hence the booming genre of downfall porn: endless autopsies of other people’s collapses. Take bodybuilding YouTube, a carnival of oiled torsos and moral rot. Greg Doucette, with his two-and-a-half million subscribers, has perfected the form. His brand is not training wisdom so much as public execution. He thrives on predicting the imminent demise of rival influencers, especially Mike Israetel, whose Renaissance Periodization channel—approaching four million subscribers—shows no interest in collapsing on schedule. That hasn’t stopped Doucette from announcing the funeral. He does it in a tank top, veins bulging, traps flared, voice pitched to a squeaky fury, filleting his subjects like a caffeinated fishmonger. The performance is manic, theatrical, and wildly successful. Rage, it turns out, scales beautifully.

    I’m not a psychiatrist, but you don’t need a medical degree to recognize a toxic loop when you see one. Mental health professionals would likely agree: this is dopamine farming. The audience gets a chemical jolt from watching others stumble while doing nothing to improve their own lives. It’s adrenaline for the bored, envy with a subscription button. In the Attention Economy, toxicity isn’t a bug—it’s the feature. The viewer doesn’t flourish; the algorithm does. You sit there, immobilized, a butterfly pinned to corkboard entertainment, while someone else’s revenue graph climbs. That is the deal on offer: your attention in exchange for distraction from the harder work of becoming a person.

  • Good-Enoughers

    Good-Enoughers

    In the fall of 2023, I was standing in front of thirty bleary-eyed college students, halfway through a lesson on how to spot a ChatGPT essay—mainly by its fondness for lifeless phrases that sound like they were scraped from a malfunctioning inspirational calendar. That’s when a business major raised his hand with the calm confidence of someone revealing a trade secret and said, “I can guarantee you everyone on this campus uses ChatGPT. We don’t submit it raw. We tweak a few sentences, paraphrase a little, and boom—no one can tell.”

    Before I could respond, a computer science student piled on. “It’s not just for essays,” he said. “It’s my life coach. I ask it about everything—career moves, crypto, even dating.” Dating advice. From ChatGPT. Somewhere, right now, a romance is unfolding on AI-generated pillow talk and a bullet-pointed list of conversation starters.

    That was the moment I realized I was staring at the biggest educational rupture of my thirty-year career. Tools like ChatGPT have three superpowers: obscene convenience, instant availability, and blistering speed. In a world where time is money and most writing does not need to summon the ghost of James Baldwin, AI is already good enough for about 95 percent of professional communication. And there it is—the phrase that should make educators break out in hives: good enough.

    “Good enough” is convenience’s love language. Imagine waking up groggy and choosing between two breakfasts. Option one is a premade smoothie: beige, foamy, nutritionally ambiguous, and available immediately. Option two is a transcendent, handcrafted masterpiece—organic fruit, thick Greek yogurt, chia seeds, almond milk—but to get it you must battle orb spiders in your backyard, dodge your neighbor’s possessed Belgian dachshund, and then spend quality time scrubbing a Vitamix before fighting traffic. Which one do most people choose?

    Exactly. The premade sludge. Because who has time for spider diplomacy and blender maintenance before a commute? Convenience wins, quality loses, and you console yourself with the time you saved. Eventually, you stop missing the better option altogether. That slow adjustment—lowering your standards until mediocrity feels normal—is attenuation.

    Now swap smoothies for writing. Writing is far harder than breakfast, and millions of people are quietly recalibrating their expectations. Why labor over sentences when the world will happily accept algorithmic mush? Polished prose is becoming the artisanal smoothie of communication: admirable, expensive, and increasingly optional. AI delivers something passable in seconds, and passable is the new benchmark.

    For educators, this is not a quirky inconvenience. It’s a five-alarm fire. I did not enter this profession to train students to become connoisseurs of adequacy. I wanted to cultivate thinkers, stylists, arguers—people whose sentences had backbone and intent. Instead, I find myself in a dystopia where “good enough” is the new gospel and I’m preaching craft like a monk selling calligraphy at a tech startup demo day.

    In medicine, the Hippocratic Oath is “Do no harm.” In teaching, the unspoken oath is blunter and less forgiving: never train your students to become Good-Enoughers—those half-awake intellectual zombies who mistake adequacy for achievement and turn mediocrity into a permanent way of life.

    Whatever role AI plays in my classroom, one line is nonnegotiable. The moment I use it to help students settle for less—to speed them toward adequacy instead of depth—I’m no longer teaching. I’m committing educational malpractice.

  • The Hamster Wheel of Optimization

    The Hamster Wheel of Optimization

    In “AI Has Broken High School and College,” Damon Beres stages a conversation between Ian Bogost and Lila Shroff that lands like a diagnosis no one wants but everyone recognizes. Beres opens with a blunt observation: today’s high school seniors are being told—implicitly and explicitly—that their future success rests on their fluency with chatbots. School is no longer primarily about learning. It has become a free-for-all, and teachers are watching from the sidelines with a whistle that no longer commands attention.

    Bogost argues that educators have responded by sprinting toward one of two unhelpful extremes: panic or complacency. Neither posture grapples with reality. There is no universal AI policy, and students are not using ChatGPT only to finish essays. They are using it for everything. We have already entered a state of AI normalization, where reliance is no longer an exception but a default. To explain the danger, Bogost borrows a concept from software engineering: technical debt—the seductive habit of choosing short-term convenience while quietly accruing long-term catastrophe. You don’t fix the system; you keep postponing the reckoning. It’s like living on steak, martinis, and banana splits while assuring yourself you’ll start jogging next year.

    Higher education, Bogost suggests, has compounded the problem by accumulating what might be called pedagogical debt. Colleges never solved the hard problems: smaller class sizes, meaningful writing assignments, sustained feedback, practical skill-building, or genuine pipelines between students and employers. Instead, they slapped bandages over these failures and labeled them “innovation.” AI didn’t create these weaknesses; it simply makes it easier to ignore them. The debt keeps compounding, and the interest is brutal.

    Bogost introduces a third and more existential liability: the erosion of sacred time. Some schools still teach this—places where students paint all day, rebuild neighborhoods, or rescue animals, learning that a meaningful life requires attention, patience, and presence. Sacred time resists the modern impulse to finish everything as fast as possible so you can move on to the next task. AI dependence belongs to a broader pathology: the hamster wheel of deadlines, productivity metrics, and permanent distraction. In that world, AI is not liberation. It is a turbocharger for a life without meaning.

    AI also accelerates another corrosive force: cynicism. Students tell Bogost that in the real world, their bosses don’t care how work gets done—only that it gets done quickly and efficiently. Bogost admits they are not wrong. They are accurately describing a society that prizes output over meaning and speed over reflection. Sacred time loses every time it competes with the rat race.

    The argument, then, is not a moral panic about whether to use AI. The real question is what kind of culture is doing the using. In a system already bloated with technical and pedagogical debt, AI does not correct course—it traps us in what I call the Hamster Wheel of Optimization: A cultural condition in which speed, efficiency, and constant output are mistaken for progress, trapping individuals and institutions in endless motion without direction or meaning. On the Hamster Wheel of Optimization, short-term convenience is endlessly prioritized while long-term costs—intellectual, moral, and human—quietly accumulate. Learning becomes task completion, education becomes workflow management, and sacred time is crowded out by deadlines, metrics, and permanent distraction. AI does not create this condition; it accelerates it, serving as a turbocharger for a system already addicted to doing more, faster, and cheaper, even as depth, reflection, and purpose steadily erode.