Cinemorphosis

Tag: technology

  • How Pre-Digital Cinema Imagined the Stupidification Social Media Perfected

    How Pre-Digital Cinema Imagined the Stupidification Social Media Perfected

    Write a 1,700-word argumentative essay analyzing how The King of Comedy (1982) and/or The Truman Show (1998) anticipate the forms of “stupidification” depicted Jonathan Haidt’s “Why the Past 10 Years of American Life Have Been Uniquely Stupid.” Make an argumentative claim about how one or both of these earlier films relate to today’s digitally amplified forms of stupidification. Do they function as prophetic warnings? As examinations of longstanding human weaknesses that social media later exploited? Or as both? Develop a thesis that takes a clear position on the relationship between pre-digital and digital stupidification.

    Introduction Requirement (about 200–250 words):

    Define “stupidification” using Haidt’s key concepts—such as the Babel metaphor, outrage incentives, the collapse of shared reality, identity performance, and tribal signaling. Then briefly connect Haidt’s ideas to one concrete example from your own life or personal observations (e.g., online behavior, comment sections, family disputes shaped by social media). End your introduction with a clear thesis that takes a position on how effectively the earlier films anticipate the pathologies depicted in Haidt’s essay. 

    Be sure to have a counterargument-rebuttal section and a Works Cited page with a minimum of 4 sources. 

  • When Buying a New Computer Results in an Existential Crisis

    When Buying a New Computer Results in an Existential Crisis

    A computer is never just a computer. It’s a mirror of who you think you are — your ambitions, your identity, your delusions of purpose. If you fancy yourself a “power user” or “content creator,” you don’t want a flimsy piece of plastic gasping for air. You want a machine that hums with confidence — a gleaming altar to your productivity fantasies. You crave speed, efficiency, thermal dominance, at least 500 nits of blinding radiance, and a QHD or OLED screen that flatters your sense of destiny. The machine must look sleek and purposeful, the way a surgeon’s scalpel looks purposeful, even if it’s mostly used to slice digital cheesecake.

    That’s the mythology of computing. Now let’s talk about me. I’m 64, a man whose “power user” moments consist of reading an online article on one screen while taking notes on the other — a thrilling simulation of intellectual heroism. In these moments, I feel like an epidemiologist drafting a breakthrough paper on respiratory viruses, when in truth I’m analyzing a 900-word essay about AI in education or the psychological toll of protein shakes. I could do this work on a Chromebook, but that would insult my inner Corvette driver — the middle-aged man who insists on 400 horsepower for a trip to the grocery store, just to know it’s there.

    My setup hasn’t changed in seven years: an Acer Predator Triton 500 with an RTX 2080 (a $3,200 review model, not my dime), an Asus 4K monitor, and a mechanical keyboard that clicks like an old newsroom. The system runs flawlessly. Which is precisely the problem. Not needing a new computer makes me feel irrelevant — like a man whose life has plateaued. Buying one, however, rekindles the illusion that I’m still scaling great heights, performing tasks of vast cosmic significance rather than grading freshman essays about screen addiction.

    So yes, I’ll probably buy a Mac Mini M4 Pro with 48 GB of RAM and 1 TB of storage. Overkill, absolutely. “Future-proofing”? A sales pitch for gullible tech romantics. But after seven years with the Acer, I’ll have earned my delusion. The real problem is not specs — it’s time. By the time I buy a new computer, I’ll be 66, retired, and sitting before a computer whose lifespan will exceed my own. That realization turns every new purchase into an existential audit.

    I used to buy things to feel powerful; now I buy them to feel temporary. A computer, a car, a box of razors — all built to outlive their owner. The marketing says upgrade your life; the subtext whispers your warranty expires first.

    Maybe that makes me a miserabilist — a man who can turn even consumer electronics into meditations on mortality. But at least I’ll have the fastest machine in the cemetery, writing The Memoirs of a Miserabilist in 4K clarity, with perfect thermal efficiency and 500 nits of existential dread.

  • The Laptop That Refuses to Die

    The Laptop That Refuses to Die

    I never imagined my $3,000 Acer gaming laptop—armed with an RTX 2080 and given to me as a review model back in 2019—would still be chugging along like a caffeinated mule nearly seven years later. It was supposed to be a flashy fling, not a long-term relationship. Yet here we are, the old beast still running my digital life as a home desktop replacement, while newer machines preen on YouTube reviews like showroom models whispering, “You deserve better.”

    Recently, I started the ritual again—tech research as performance art. I even discovered a comment I’d left a year ago under a Mac Mini review, declaring with absolute conviction that it would be my next computer. A year later, I’m still typing this on the Acer. Why? Because the damn thing refuses to die. Sure, I’m not exactly rendering Pixar films here; the most demanding task I throw at it is uploading Nikon footage. But still—seven years? That’s geriatric in tech years.

    Then came the unnerving thought: what if this laptop outlives my enthusiasm? What if it just… keeps working? The fantasy of upgrading evaporates under the weight of practicalities—transferring files, wrestling with two-step verification, updating passwords, the tedium of digital reincarnation. Let’s be honest: the desire for a “new system” might be less about performance and more about the dopamine of novelty.

    A darker impulse lurks beneath: part of me wants the Acer to fail, to give me permission to move on. But it won’t. It boots up every morning like a loyal mutt, eager to serve. And really—what are the odds that a new Mac Mini or Asus A18 Ryzen 7 would deliver another seven trouble-free years? Slim to none. So, I’m waiting. Not quite ready to buy, not quite ready to let go. Maybe the pursuit of new tech is its own kind of seduction—the chase more intoxicating than the catch.

  • Bad But Worth It? De-skilling in the Age of AI (college essay prompt)

    Bad But Worth It? De-skilling in the Age of AI (college essay prompt)

    AI is now deeply embedded in business, the arts, and education. We use it to write, edit, translate, summarize, and brainstorm. This raises a central question: when does AI meaningfully extend our abilities, and when does it quietly erode them?

    In “The Age of De-Skilling,” Kwame Anthony Appiah argues that not all de-skilling is equal. Some forms are corrosive and hollow us out; some are “bad but worth it” because the benefits outweigh the loss; some are so destructive that no benefit can redeem them. In that framework, AI becomes most interesting when we talk about strategic de-skilling: deliberately off-loading certain tasks to machines so we can focus on deeper, higher-level work.

    Write a 1,700-word argumentative essay in which you defend, refute, or complicate the claim that not all dependence on AI is harmful. Take a clear position on whether AI can function as a “bad but worth it” form of de-skilling that frees us for more meaningful thinking—or whether, in practice, it mostly dulls our edge and trains us into passivity.

    Your essay must:

    • Engage directly with Appiah’s concepts of corrosive vs. “bad but worth it” de-skilling.
    • Distinguish between lazy dependence on AI and deliberate collaboration with it.
    • Include a counterargument–rebuttal section that uses at least one example of what we might call Ozempification—people becoming less agents and more “users” of systems. You may draw this example from one or more of the following Black Mirror episodes: “Joan Is Awful,” “Nosedive,” or “Smithereens.”
    • Use at least three sources in MLA format, including Appiah and at least one Black Mirror episode.

    For your supporting paragraphs, you might consider:

    • Cognitive off-loading as optimization
    • Human–AI collaboration in creative or academic work
    • Ethical limits of automation
    • How AI is redefining what counts as “skill”

    Your goal is to show nuanced critical thinking about AI’s role in human skill development. Don’t just declare AI good or bad; use Appiah’s framework to examine when AI’s shortcuts lead to degradation—and when, if used wisely, they might lead to liberation.

    3 building-block paragraph assignments

    1. Concept Paragraph: Explaining Appiah’s De-Skilling Framework

    Assignment:
     Write one well-developed paragraph (8–10 sentences) in which you explain Kwame Anthony Appiah’s distinctions among corrosive de-skilling, “bad but worth it” de-skilling, and de-skilling that is so destructive no benefit can justify it.

    • Use at least one short, embedded quotation from Appiah.
    • Paraphrase his ideas in your own words and clarify the differences between the three categories.
    • End the paragraph by briefly suggesting how AI might fit into one of these categories (without fully arguing your position yet).

    Your goal is to show that you understand Appiah’s framework clearly enough to use it later as the backbone of an argument.

    2. Definition Paragraph: Lazy Dependence vs. Deliberate Collaboration

    Assignment:
     Write one paragraph in which you define and contrast lazy dependence on AI and deliberate collaboration with AI in your own words.

    • Begin with a clear topic sentence that sets up the contrast.
    • Give at least one concrete example of “lazy dependence” (for instance, using AI to dodge thinking, reading, or drafting altogether).
    • Give at least one concrete example of “deliberate collaboration” (for instance, using AI to brainstorm options, check clarity, or off-load repetitive tasks while you still make the key decisions).
    • End the paragraph with a sentence explaining which of these two modes you think is more common among students right now—and why.

    This paragraph will later function as a “conceptual lens” for your body paragraphs.

    3. Counterargument Paragraph: Ozempification and Black Mirror

    Assignment:
     After watching one of the assigned Black Mirror episodes (“Joan Is Awful,” “Nosedive,” or “Smithereens”), write one counterargument paragraph that challenges the optimistic idea of “strategic de-skilling.”

    • Briefly describe a key moment or character from the episode that illustrates Ozempification—a person becoming more of a “user” of a system than an agent of their own life.
    • Explain how this example suggests that dependence on powerful systems (platforms, algorithms, or AI-like tools) can erode self-agency and critical thinking rather than free us.
    • End by posing a difficult question your eventual essay will need to answer—for example: If it’s so easy to slide from strategic use to dependence, can we really trust ourselves with AI?

    Later, you’ll rebut this paragraph in the full essay, but here your job is to make the counterargument as strong and persuasive as you can.

  • The Last Laptop I’ll Ever Buy (Until Next Year)

    The Last Laptop I’ll Ever Buy (Until Next Year)

    For nearly seven years, my Acer Predator Triton 500 has been the iron lung of my digital life—an aging warhorse with an RTX 2080 GPU that’s seen me through countless essays, projects, and caffeinated obsessions. It’s been docked to an Asus 27-inch monitor and paired with an Asus mechanical keyboard fitted with “snow linear” keys that clack like polite thunder. Compact Edifier speakers provide the soundtrack, and with minor upgrades here and there, this has been my workstation since early 2019.

    But lately, the setup feels a little haunted. My Acer sits on a riser, its keyboard unused, like a retired prizefighter still showing up to the gym out of habit. I justify its existence by using its display as a secondary reading screen—my Kindle or some grim online essay glowing faintly while I type notes on the big monitor. Still, I feel like I’m keeping a loyal but obsolete machine on life support.

    So, I’ve been hunting for a replacement—something new, powerful, and, most importantly, emotionally satisfying. My first thought was to go full desktop. But each option carries its own curse:

    Apple Mac Studio: A minimalist marvel with angelic cooling and infernal control. For $2,500 I could get the specs I want, but I’d be exiled back into Apple’s walled garden—a sleek gulag where the motto is “Our way or the highway.” I haven’t touched macOS in seven years and don’t miss it. Besides, reconfiguring my mechanical keyboard to play nice with Cupertino’s control freaks feels like negotiating peace in the Middle East. I’m too old for that kind of diplomacy.

    Windows mini PCs: They’re cute, powerful, and cheap. Unfortunately, I can’t shake the suspicion that they run hotter than a Vegas blackjack dealer. Every buyer review reads like a cautionary tale about throttling and regret.

    Tower PCs: Cooling problem solved, aesthetics annihilated. They look like 1990s fossils—hulking boxes humming with regret, some lit up like a Dave & Buster’s rave. I want my office to feel serene, not like I’m rebooting Tron.

    Small Form Factor PCs: The corporate cousins of mini-PCs—clean, respectable, and utterly soulless. A Lenovo ThinkCentre or HP Elite Mini would be safe, but seven years of loyalty deserves a little passion. Safe feels like tofu: virtuous, flavorless, and instantly forgettable.

    Laptops (Again): I swore I wouldn’t go this route, but comfort is seductive. I know the terrain. I nearly bought a Lenovo Pro 7i—until I saw the price tag. Three grand for specs I’ll never fully use? I want power, not penance.

    This indecision loop has become my mental treadmill, the same cycle I went through choosing between a Honda Accord and a Toyota Camry—until I realized I’d pick the Accord, someday, probably, maybe. The problem isn’t the purchase—it’s the unresolved narrative. My brain demands closure before it can move on.

    Then, last night, salvation—or something close. The 2025 Asus TUF A18: RTX 5070, Ryzen 7, QHD screen, and the sweet, stabilizing heft of an 18-inch chassis. The specs scream overkill—64GB RAM, 2TB SSD—but the price, at $2,300, hums just right. It’s powerful, cool, substantial, and mercifully within budget. It feels like destiny—or at least the closest thing a middle-aged man can get to it while comparison-shopping on Newegg at midnight.

    If you asked me right now what I’d buy, I wouldn’t hesitate. The TUF A18 isn’t perfect—but it’s enough. It’s rational, emotional, and, most of all, final. The debate ends here.

    Or does it? Perhaps tomorrow I’ll wake up and prostrate myself to the Mac Studio with the words, “I’ll obediently reconfigure my mechanical keyboard to your System Settings, Master.”

  • The Case for Strategic De-Skilling: Rethinking Skill and Dependence in the Age of AI (a College Writing Prompt)

    The Case for Strategic De-Skilling: Rethinking Skill and Dependence in the Age of AI (a College Writing Prompt)

    Background

    AI is a tool that we use in business, the arts, and education. Since AI is the genie out of the bottle that isn’t going back in, we have to confront the way AI renders us both benefits and liabilities. One liability is de-skilling, the way we lose our personal initiative, self-reliance and critical thinking skills as our dependence on AI makes us reflexively surrender our own thought for a lazy, frictionless existence in which we assert little effort and let AI do most of the work. 

    However, in his essay “The Age of De-Skilling,” Kwame Anthony Appiah correctly points out that not all de-skilling is equal. Some de-skilling is “corrosive,” some de-skilling is bad but worth it for the benefits, and some de-skilling is so self-destructive that no benefits can redeem its devastation. 

    In this context, where AI becomes interesting is the realm of what we call strategic de-skilling. This is a mindful form of de-skilling in which we take AI shortcuts because such shortcuts give us a worthy outcome that justifies the tradeoffs of whatever we lose as individuals dependent on technology. 

    Your Essay Prompt

    Write a 1,700-word argumentative essay that defends, refutes, or complicates the position that not all dependence on AI is ruinous. Argue that strategic de-skilling—outsourcing repetitive or mechanical labor to machines—can expand our mental bandwidth for higher-order creativity and analysis. Use Appiah’s notion of “bad but worth it” de-skilling to claim that AI, when used deliberately, frees us for deeper work rather than dulls our edge.

    Your Supporting Paragraphs

    For your supporting paragraphs, consider the following mapping components: 

    • cognitive off-loading as optimization
    • human-AI collaboration
    • ethical limits of automation
    • redefinition of skill

    Use Specific Case Studies of Strategic De-Skilling

    I recommend you can pick one or two of the following case studies to anchor your essay in concrete evidence:

    1. AI-Assisted Radiology Diagnostics
    AI models like Google’s DeepMind Health or Lunit INSIGHT CXR pre-screen medical images (X-rays, CT scans, MRIs) for anomalies such as lung nodules or breast tumors, freeing radiologists from exhaustive image scanning and letting them focus on diagnosis, context, and patient communication.

    2. Robotic Surgery Systems (e.g., da Vinci Surgical System)
     Surgeons use robotic interfaces to perform minimally invasive procedures with greater precision and less fatigue. The machine steadies the surgeon’s hand and filters tremors—technically a form of de-skilling—but this trade-off allows focus on strategy, anatomy, and patient safety rather than manual dexterity alone.

    3. AI-Driven Legal Research Platforms (Lexis+, Casetext CoCounsel)
     Lawyers now off-load hours of case searching and citation checking to AI tools that summarize precedent. What they lose in raw research grind, they gain in time for argument strategy and nuanced reasoning—shifting legal skill from memorization to interpretation.

    4. Intelligent Tutoring and Grading Systems (Gradescope, Khanmigo)
     Instructors let AI handle repetitive grading or generate practice problems. The loss of constant paper-marking allows teachers to focus on the art of explanation and individualized mentorship. Students, too, can use these systems to get instant feedback, training them to self-diagnose errors rather than depend entirely on human correction.

    5. AI-Based Drug Discovery (DeepMind’s AlphaFold, Insilico Medicine)
     Pharmaceutical researchers no longer spend years modeling protein folding manually. AI predicts structures in hours, speeding up breakthroughs. Scientists relinquish tedious modeling but redirect their expertise toward hypothesis-driven design, ethics, and clinical translation.

    6. Predictive Maintenance in Aviation and Engineering
     Airline engineers now rely on machine-learning algorithms to flag part failures before they occur. Mechanics perform fewer manual inspections but use data analytics to interpret system reports and prevent disasters—redefining “skill” as foresight rather than reaction.

    7. Algorithmic Financial Trading
     Portfolio managers off-load pattern recognition and timing decisions to AI trading bots. Their role shifts from acting as human calculators to setting ethical boundaries, risk thresholds, and macro-strategic goals—skills grounded in judgment, not just speed.

    8. AI-Powered Architecture and Design (Autodesk Generative Design)
     Architects use generative AI to produce hundreds of design iterations that balance structure, sustainability, and cost. The creative act moves from drafting to curating: selecting and refining the most meaningful human aesthetic from machine-generated abundance.

    9. Autonomous Agriculture Systems (John Deere’s See & Spray)
     Farmers now use AI-guided tractors and drones to detect weeds and optimize fertilizer use. They surrender manual fieldwork but gain ecological precision and data-driven management skills that improve yields and sustainability.

    10. AI-Enhanced Music and Film Editing (Adobe Sensei, AIVA, Runway ML)
     Editors and composers off-load technical tedium—color correction, noise reduction, beat synchronization—to AI tools. This frees them to focus on emotional pacing, thematic rhythm, and creative storytelling—the distinctly human layer of artistry.

    Purpose
    Your goal is to demonstrate nuanced critical thinking about AI’s role in human skill development. Show that you understand the difference between lazy dependence and deliberate collaboration. Engage with Appiah’s complicated notion of de-skilling to explore whether AI’s shortcuts lead to degradation—or, when used wisely, to liberation.

  • The Gospel of De-Skilling: When AI Turns Our Minds into Mashed Potatoes

    The Gospel of De-Skilling: When AI Turns Our Minds into Mashed Potatoes

    Kwame Anthony Appiah, in “The Age of De-Skilling,” poses a question that slices to the bone of our moment: Will artificial intelligence expand our minds or reduce them to obedient, gelatinous blobs? The creeping decay of competence and curiosity—what he calls de-skilling—happens quietly. Every time AI interprets a poem, summarizes a theory, or rewrites a sentence for us, another cognitive muscle atrophies. Soon, we risk becoming well-polished ghosts of our former selves. The younger generation, raised on this digital nectar, may never build those muscles at all. Teachers who lived through both the Before and After Times can already see the difference in their classrooms: the dimming spark, the algorithmic glaze in the eyes.

    Yet Appiah reminds us that all progress extracts a toll. When writing first emerged, the ancients panicked. In Plato’s Phaedrus, King Thamus warned that this new technology—writing—would make people stupid. Once words were carved into papyrus, memory would rot, dialogue would wither, nuance would die. The written word, Thamus feared, would make us forgetful and isolated. And in a way, he was right. Writing didn’t make us dumb, but it did fundamentally rewire how we think, remember, and converse. Civilization gained permanence and lost immediacy in the same stroke.

    Appiah illustrates how innovation often improves our craft while amputating our pride in it. A pulp mill worker once knew by touch and scent when the fibers were just right. Now, computers do it better—but the hands are idle. Bakers once judged bread by smell, color, and instinct; now a touchscreen flashes “done.” Precision rises, but connection fades. The worker becomes an observer of their own obsolescence.

    I see this too in baseball. When the robotic umpire era dawns, we’ll get flawless strike zones and fewer bad calls. But we’ll also lose Earl Weaver kicking dirt, red-faced and screaming at the ump until his cap flew. That fury—the human mess—is baseball’s soul. Perfection may be efficient, but it’s sterile.

    Even my seventy-five-year-old piano tuner feels it. His trade is vanishing. Digital keyboards never go out of tune; they just go out of style. Try telling a lifelong pianist to find transcendence on a plastic keyboard. The tactile romance of the grand piano, the aching resonance of a single struck note—that’s not progress you can simulate.

    I hear the same story in sound. I often tune my Tecsun PL-990 radio to KJAZZ, a station where a real human DJ spins records in real time. I’ve got Spotify, of course, but its playlists feel like wallpaper for the dead. Spotify never surprises me, never speaks between songs. It’s all flow, no friction—and my brain goes numb. KJAZZ keeps me alert because a person, not a program, is behind it.

    The same tension threads through my writing life. I’ve been writing and weight-lifting daily since my teens. Both disciplines demand sweat, repetition, and pain tolerance. Neglect one, and the other suffers. But since I began using AI to edit two years ago, the relationship has become complicated. Some days, AI feels like a creative partner—it pushes me toward stylistic risks, surprise turns of phrase, and new tonal palettes. Other days, it feels like a crutch. I toss half-baked paragraphs into the machine and tell myself, “ChatGPT will fix it.” That’s not writing; that’s delegation disguised as art.

    When I hit that lazy stretch, I know it’s time to step away—take a nap, watch Netflix, play piano—anything but write. Because once the machine starts thinking for me, I can feel my brain fog over.

    And yet, I confess to living a double life. There’s my AI-edited self, the gleaming, chiseled version of me—the writer on literary steroids. Then there’s my secret writer: the primitive, unassisted one who writes in a private notebook, in the flickering light of what feels like a mythic waterfall. No algorithms, no polish—just me and the unfiltered soul that remembers how to speak without prompts. This secret life is my tether to the human side of creation. It gives my writing texture, contradiction, blood. When I’m writing “in the raw,” I almost feel sneaky and subversive and whisper to myself: “ChatGPT must never know about this.” 

    Appiah is right: the genie isn’t going back in the bottle. Every advance carries its shadow. According to Sturgeon’s Law, 90% of everything is crap, and AI will follow that rule religiously. Most users will become lazy, derivative, and hollow. But the remaining 10%—the thinkers, artists, scientists, doctors, and musicians who wield it with intelligence—will produce miracles. They’ll also suffer for it. Because every new tool reshapes the hand that wields it, and every gain carries a ghost of what it replaces.

    Technology changes us. We change it back. And somewhere in that endless feedback loop—between the bucket piano tuner, the dirt-kicking manager, and the writer lost between human and machine—something resembling the soul keeps flickering.

  • 30 Student Responses to the Question “What Effect Does Using AI Have on Us?”

    30 Student Responses to the Question “What Effect Does Using AI Have on Us?”

    Prompt:

    Begin your essay with a 400-word personal reflection. This can be about your own experience or that of someone you interview. Focus on how using AI writing tools—like ChatGPT—has changed your habits when it comes to thinking, writing, or getting work done.

    From there, explore the deeper implications of relying on this technology. What happens when AI makes everything faster and easier? Does that convenience come at a cost? Reflect on the way AI can lull us into mental passivity—how it tempts us to hand over the hard work of thinking in exchange for quick results.

    Ask yourself: What kind of writing does AI actually produce? What are its strengths? Where does it fall short? And more importantly, what effect does using AI have on us? Does it sharpen our thinking, or make us more dependent? Do we risk becoming less original, less engaged—more like passive consumers of technology than active creators? As this process continues, are we becoming Non-Player Characters instead of humans with self-agency? Explain. 

    Finally, consider the trade-offs. Are we gaining a tool, or giving something up? Are we turning into characters in a Black Mirror episode—so enamored with convenience that we forget what it means to do the work ourselves? Use concrete examples and honest reflection to dig into the tension between human effort and technological assistance.

    Student Responses to Using AI tools for writing and education:

    1. “I am impressed with the speed and convenience but the final product is overly polished and hollow.”
    2. “I am amazed by the speed of production but all the sentences look the same. Honestly, it’s numbing after a while.”
    3. “The writing is frustrating because it talks a lot without saying much.”
    4. “I don’t have to think as much,” “I save time not having to think” and “I get used to this laziness.”
    5.  “AI writes better than I do, but it doesn’t have my unique voice.”
    6. “AI is like a steady writing partner, always there to help me and bounce off ideas, but lately I realize the more I depend on it, the less I challenge myself to think critically.”
    7. “Thanks to AI, I stopped reading books. Now I just get summaries of books. Now I get the information, but I no longer have a deep understanding.”
    8. “AI helps me take notes and organize ideas but it doesn’t help me truly listen, understand someone’s emotions, show empathy, or deal with uncertainty.”
    9. “AI writing is smooth and structured, but people aren’t. Real thought and emotions are messy. That’s where growth happens.”
    10. “When I’m tired, AI tempts me to just copy and paste it, and the more I use it in this manner, the stronger the temptation becomes.”
    11. “AI makes things really easy for me, but then I ask myself, ‘Am I really learning?’”
    12. “What started out as magical now has become woven into the fabric of daily life. Education has become boring.”
    13. “AI is a production superpower the way it inspires and organizes ideas, but I find over time I become more lazy, less creative, and rely on AI way too much.”
    14. “AI degrades the way we write and think. I can tell when something is written in AI-speak, without real human tone, and the whole experience is dehumanizing.”
    15. “I love AI because it saved me. I am not a native English speaker, so I rely on AI to help with my English. It’s like having a reliable tutor always by my side. But over time, I have become lazy and don’t have the same critical thinking I used to have. I see myself turning into an NPC.”
    16. “I have to use AI because the other students are using it. I should have the same advantages they have. But education has become less creative and more boring. It’s all about ease and convenience now.”
    17. “I used to love AI because it made me confident and motivated me to get my assignments in on my time. But over time, I lost my voice. Now everything is written with an AI voice.”
    18. “The more I use AI, the less I think things through on my own. I cut off my own thinking and just ask ChatGPT. It’s fast, but it kills creativity.”
    19. “When faced with a writing assignment and a blank mind, I would start things with ChatGPT, and it got things going. It wasn’t perfect, but I had something to start with, and I found this comforting. But as I got more confident with ChatGPT, I became less and less engaged with the education process. My default became convenience and nothing more.”
    20. “AI writing is so common, we don’t even ask if the writing is real anymore. No one cares. AI has made us all apathetic. We are NPCs in a video game.”
    21. “AI is a great tool because it helps everyone regardless of how much money we have, but it kills creativity and individuality. We’ve lost the pleasure of education. AI has become a mirror of our own superficial existence.”
    22. “When I first discovered AI to do my writing, I felt I had hit the jackpot, but then after taking so many shortcuts, I lost the love for what I was doing.”
    23. “It’s stressful to see a cursor blinking on a blank page, but thanks to AI, I can get something off and running quickly. The problem is that the words are clean and correct, but also generic. There is no depth to human emotion.”
    24. “I’ve been using AI since high school. A lot of its writing is useless. It doesn’t make sense. It’s inaccurate. It’s poorly written. It’s dehumanizing.”
    25. “AI is basically Google on steroids. I used to dread writing, but AI has pushed me to get my work done. The writing is polished but too perfect to be human writing. The biggest danger is that humans become too reliant on it.”
    26. “I barely use AI. It makes school trivial. It’s just another social media disease like TikTok, these streaming platforms that kill our attention spans and turn us into zombies.”
    27. “AI first felt like having the cheat code to get through school. But then I realized it puts us into a cognitive debt. We lose our tenacity and critical thinking.”
    28. “I am a mother and an avid reader, and I absolutely refuse to use AI for any purpose. AI can’t replace real writing, reading, or journaling. AI is a desecration of education and personal growth.”
    29. At first, I used AI to get ideas, but over time I realized I was no longer thinking. I wasn’t struggling to come up with what I really thought or what I really wanted to argue about. AI silenced who I really was.”
    30. “Using AI to do the heavy lifting doesn’t sit right with me, so I programmed my AI to tutor and guide me through studying, rather than using it as a crutch by providing prompts and tools to help me understand assignments.While my experience with AI has shown me its full capabilities, I’ve also learned that too much of it can ruin the entire experience, in this case, the learning experience.”
  • The Temu-ization of Everything—Again

    The Temu-ization of Everything—Again

    I’m reading Cory Doctorow’s freshly minted Enshittification. Early on, he revisits Facebook circa 2010: the honey pot that lured billions before curdling into a slurry of compulsion loops, conspiracy gristle, and industrial-scale data mining. It’s sharp, it’s punchy—and it gave me déjà vu. Then my stomach dropped: I like the coinage, I like the thesis that we’re living through the Enshittocene, but the insights feel old. Jaron Lanier mapped a lot of this terrain eight years ago in Ten Arguments for Deleting Your Social Media Accounts Right Now, a book I’ve taught over the last seven years.

    Doctorow’s Amazon chapter triggers the same shrug. The platform seduces us with convenience, tightens its talons, and gradually morphs from glossy marketplace into Temu-adjacent bazaar. True, and thoroughly litigated across a thousand essays and think pieces. We’ve been warned about the house always winning; we don’t need another tour of the casino floor.

    What I wanted—and didn’t get—was a deeper dive into the anthropology of the rot. Black Mirror’s “Nosedive” or “Joan Is Awful” doesn’t just wag a finger at platforms; it autopsies the psyche and the systems. New Yorker writer Kyle Chayka nails the gap: Enshittification is “pointed and efficient,” but reads like “professional blogging extended for three-hundred-plus pages,” leaving you hungry for a larger cultural x-ray that goes beyond the usual suspects.

    To be fair, packaging a messy discourse into one memorable term matters; not everyone read Lanier or binged Brooker. Doctorow’s snark has its uses. A clean label can move an idea from seminar rooms to dinner tables. But once you’ve named the disease, the next move isn’t to repeat symptoms; it’s to map vectors, power centers, and countermeasures with fresh cases outside the Big Tech pentagon.

    So yes: I love the word. But the book left me underwhelmed. Doctorow has given us the bumper sticker; I’m still waiting for the field manual. The Enshittocene doesn’t need another catalog of platform sins—it needs a blueprint that shows how to break the flywheels, where policy and design can bite, and why our appetites keep refilling the trough. Name the era, sure. Now show us how to survive it—and, if we’re lucky, how to end it.

  • The Eight Ages of –ification

    The Eight Ages of –ification

    From Conformification to Enshittification: how every decade found a fresh way to ruin itself.

    The Age of Decline, Accelerated

    In Enshittification, Cory Doctorow argues that our decline isn’t gradual—it’s accelerating. Everything is turning to crap simultaneously, like civilization performing a synchronized swan dive into the sewer.

    The book’s subtitle, Why Everything Suddenly Got Worse and What to Do About It, suggests that degradation is now both universal and, somehow, fixable.

    Doctorow isn’t the first prophet to glimpse the digital abyss. Jaron Lanier, Jonathan Haidt, and other cultural Cassandras have long warned about the stupidification that comes from living inside the algorithmic aquarium. We swim in the same recycled sludge of dopamine and outrage, growing ever duller while congratulating ourselves on being “connected.”

    This numbness—the ethical anesthesia of the online age—makes us tolerate more crappiness from our corporate overlords. As the platforms enshittify, we invent our own little coping rituals. Some of us chant words with –ion suffixes as if they were incantations, linguistic ASMR to soothe our digital despair.

    When I saw Ozempic and ChatGPT promising frictionless perfection—weight loss without effort, prose without struggle—I coined Ozempification: the blissful surrender of self-agency to the cult of convenience.

    Now there’s an entire liturgy of –ifications, each describing a new layer of rot:

    • Enshittification — Doctorow’s coinage for the systematic decay of platforms that once worked.
    • Crapification / Encrappification — The transformation of quality into garbage in the name of efficiency.
    • Gamification — Turning life into a perpetual contest of meaningless points and dopamine rewards.
    • Attentionification — Reducing every act of expression to a plea for clicks.
    • Misinformationfication — When truth becomes a casualty of virality.
    • Ozempification — Replacing effort with optimization until we resemble our own avatars.
    • Stupidification — The great numbing: scrolling ourselves into idiocy while our neurons beg for mercy.

    But the crown jewel of this lexicon remains Enshittification—Doctorow’s diagnosis so precise that the American Dialect Society crowned it Word of the Year for 2023.

    Still, I’d like to push back on Doctorow’s suggestion that our current malaise is unique. Yes, technology accelerates decay, but each era has had its own pathology—its signature form of cultural rot. We’ve been creatively self-destructing for decades.

    So, let’s place Enshittification in historical context. Behold The Eight Ages of –ification: a timeline of civilization’s greatest hits in decline.

    1950s — Conformification

    The age of white fences and beige minds. America sold sameness as safety. Individuality was ironed flat, and television became the nation’s priest. Conformification is the fantasy that security comes from imitation—a tranquilized suburbia of identical dreams in identical ranch homes.

    1960s — Psychedelification

    When rebellion became transcendence through chemistry. Psychedelification was the belief that consciousness expansion could topple empires, if only the colors were bright enough. The result: self-absorption in tie-dye and the illusion that enlightenment could be mass-produced.

    1970s — Lustification

    A Freudian carnival of polyester and pelvic thrusts. From Deep Throat to Studio 54, desire was liberation and the body was both altar and marketplace. Lustification crowned pleasure as the last remaining ideology.

    1980s — Greedification

    When morality was replaced by market share. The decade baptized ambition in champagne and cocaine. Greedification is the conviction that money cleanses sin and that a Rolex can double as a rosary.

    1990s — Ironification

    The decade of smirks. Sincerity was cringe; irony was armor. Ironification made detachment the new intelligence: nothing believed, everything quoted, and feelings outsourced to sarcasm.

    2000s — Digitification

    Humanity uploaded itself. Digitification was the mass migration to the screen—the decade of Facebook envy, email anxiety, and dopamine disguised as connection. We stopped remembering and started refreshing.

    2010s — Influencification

    When everyone became a brand. Influencification turned authenticity into a business model and experience into content. The self became a product to be optimized for engagement.

    2020s — Enshittification

    Doctorow’s masterstroke: the final form of digital decay. Enshittification is what happens when every system optimizes for extraction—when user, worker, and platform all drown in the same algorithmic tar pit. It’s the exhaustion of meaning itself, disguised as progress.

    Epilogue: The 2030s — Reification

    If trends continue, we’ll soon enter Reification: a desperate attempt to make the unreal feel real again. After decades of filters, feeds, and frictionless fakery, we’ll long for something tangible—until, inevitably, we commodify that too.

    History repeats itself—only this time with better Wi-Fi.