[Essay] The Dopamine Farm and the Genie's Lamp: Reclaiming Our 'Animal Instincts' in the Age of AI

I. Introduction: A World Where Even the Beep of a Barcode Goes Unheard

The convenience store door swings open and the chime rings out. It's a familiar sound I've heard every single day for ten years, yet the scene of customers walking through that door grows stranger with each passing year. The customer standing at the counter pulls a smartphone from their pocket, eyes locked on the screen. White earbuds are lodged in their ears, perfectly sealing out the noise of the outside world. I scan the barcode for payment and ask, "Do you need a bag?"—but my voice doesn't reach them. They exist physically in front of me, but mentally, they're adrift in an ocean of data tens of thousands of kilometers away, wandering through a dopamine maze someone has meticulously engineered.

Even as the transaction ends and I hand over the receipt, they don't make eye contact. Sometimes they chuckle to themselves at something coming through their earbuds. This has become an everyday scene, but it remains unsettling. Is this the technological progress we so desperately wished for, or is it a new form of factory farming for humanity?

Just a few years ago, we talked about "small but certain happiness" or "guilty pleasures"—the value of modest rewards. A can of beer at the end of a hard day's work, a secret indulgence nobody else knows about. But today's reward systems are incomparably faster, more convenient, and more powerful. Fifteen-second short-form videos and the endless stimulation served up by algorithms have made yesterday's small pleasures feel bland.

We stand at a massive turning point. An entity called AI—ready to grant our wishes like a genie from legend—has arrived in the palm of our hand. Yet paradoxically, the humans holding this genie have become more passive than ever, abandoning the act of thinking for themselves. Today, starting from the view behind this counter, I want to talk about the "resolution of our wishes" that we've lost, and the "animal instincts" we must reclaim.

II. Part 1: The Economics of the Brain—Why We Choose to Become 'Dumber'

Why are modern humans giving up their ability to think for themselves, despite having smarter tools than ever before? The answer lies in a very old design principle of our brains: the law of energy minimization.

The human brain is an extravagant organ that consumes over 20% of the body's energy. Throughout the long journey of evolution, "thinking deeply" was a risky gamble for our ancestors—it meant wasting energy needed for survival. So the brain instinctively seeks shortcuts to conserve energy. In psychology, this is called being a "Cognitive Miser."

The small pleasures of the past at least required the energy of "choosing"—what to eat, which café to visit. But today's dopamine marketplace has stripped away even that deliberation. YouTube's algorithm predicts what we want to watch and shoves it in front of us. The brain no longer needs to expend energy on "selecting." It simply receives the stimulation passively.

This "stability-seeking instinct" reveals itself nakedly in how the public approaches AI. When this revolutionary tool emerged, only a tiny minority truly tested its limits and researched their own methods of use. The majority search YouTube for videos like "How to Get Rich Easily with AI" or "5 AI Life Hacks."

This is a cruel paradox. The process of conversing with AI, asking your own questions, and going through trial and error belongs to the painful territory of "System 2" (slow thinking). To avoid this pain, the masses retreat to the familiar shortcut of "searching." The act of copying and pasting answers someone else has already found shows that even while using cutting-edge AI tools, their mindset remains stuck in the life of a medieval serf.

The problem emerges when this "cognitive outsourcing" continues. Just as muscles atrophy without use, the brain's muscles for building logic and solving problems weaken rapidly. On the surface, everyone appears to produce sophisticated outputs using AI, but beneath that surface, a "hollowing out" of intelligence is occurring—people who no longer know how to ask their own questions.

We must now ask ourselves: Will I hand over the reins of my life to the genie and choose comfortable domestication? Or will I push against the brain's energy-saving instincts and become a "transcendent being" who commands the genie? The gap in intelligence is no longer about "how much you know" but about "how much discomfort you're willing to endure in order to think."

III. Part 2: AI Is the Rendering Engine That Adjusts My 'Resolution'

Here, I must make a confession. When I create something, I'm skilled at building grand frameworks and designing structures, but I quickly tire of the meticulous work of filling in those frameworks with detail. To use an architect analogy: I'm good at drawing magnificent blueprints, but hopeless at aligning the mortar between bricks or refining interior decorations. For a long time, I considered this my limitation, and I would sometimes berate myself looking at my unfinished projects.

But after encountering AI, this deficiency became a powerful weapon. For me, AI isn't simply a machine that produces answers—it's the most satisfying rendering engine that elevates the "low resolution" in my head to "high resolution."

People commonly either panic that AI will steal human jobs, or harbor lazy expectations like asking AI to write an entire novel for them. But the true value of AI, as I've experienced it, lies in "resolution adjustment." The ideas I throw out are initially nothing but hazy waves, like fog. The sentence "a sad monster standing in darkness" is very low-resolution information. But the moment I layer on specific direction—"scales evolved like metal to withstand deep-sea pressure, tentacles that read vibrations instead of atrophied eyes, and a gaze that yearns for humans"—AI dramatically elevates the resolution of my intention and makes it real.

Ultimately, creativity in the AI era is transforming from "creating something from nothing" into "the ability to decide what level of resolution is needed and to direct accordingly." That I'm good at building frameworks means I have an eye for reading the structure of the world, and that AI fills in the texture means I can focus entirely on "judgment" and "direction."

While many are wishing low-resolution wishes to the genie—"make me rich" or "make me famous"—we must raise the resolution of our questions. We must debate with the genie about "what particles of terror this grotesque aesthetic I'm imagining should embed in the reader's heart." The performance of tools has been leveled up across the board. What makes the difference now is the clarity of the blueprint inside the mind of the human holding that tool—the "resolution of will."

IV. Part 3: The Instinct That Beats the Indicators—What Ten Years of Experience Taught Me

But if you think raising resolution is solely the domain of intelligence, you're mistaken. When AI learns from vast datasets of the past to calculate probabilistic futures, humans retain one final territory that data can never imitate: "animal instincts," honed over tens of thousands of years of evolution.

Having run a convenience store for nearly ten years, I've witnessed the reality of this instinct countless times. Just from watching a customer's back as they enter the store, or from a subtle distortion in the air that seems no different from usual, I feel a sense of unease—"something's off." It's a tiny noise that others would never notice. But when I follow that unease and check the CCTV, without fail, there's a problem unfolding or someone's dishonest hands caught on camera.

This isn't logical inference. It's an "animal alarm" that my unconscious emits by cross-referencing tens of thousands of patterns accumulated over ten years in real-time. While AI might calculate "there's an 87% probability this customer will steal something," human intuition has already reached its conclusion the moment they walked through the door. This contextual, holistic sense of unease is a high-resolution pattern recognition that only beings of flesh and blood can possess.

This animal instinct proves valid even in the cold, number-driven investment market. In the first half of 2025, Tesla's stock price was plummeting. Every economic indicator and analyst report screamed, "There's more basement below the basement." Fear dominated the market, and data-driven algorithms poured out sell signals.

But that's when I started accumulating Tesla. When every indicator was negative, the animal instinct inside me was sending a different signal. It was a sense that read the "compression of energy" beyond the numbers of price. While the masses, addicted to dopamine, trembled with shortsighted fear, my intuition—cultivated by weathering market waves in my body over long years—pointed to this being the extreme edge of "irrational overselling."

In the end, victory belonged not to the machines that blindly trusted indicators, but to the human who read the context beyond the indicators and trusted their instincts. AI "predicts" the future through past data, but human instinct "perceives" the future through present unease. The first thing to be castrated when we turn off our brains watching dopamine shorts is this precious animal instinct. Humans whose senses have gone numb forget even what wishes to ask of the genie, settling into the manufactured reality the genie provides.

V. Part 4: Two Things AI Cannot Replace—Fingertips and Eye Contact

We have long lived under the pressure that "humans should naturally pursue higher-order values." Maslow's hierarchy of needs and Freud's ego theory constantly commanded us to suppress our instincts and pursue socially acceptable, refined goals. But the mirror called AI asks us: "What does the animal that is you truly want?"

Interestingly, the emergence of AI is paradoxically highlighting the value of domains we've dismissed as "base." As "systematic labor"—coding, analyzing documents, processing data—gets consumed by AI, the domains unique to humans that machines can never imitate become clearer. I want to call these the "domain of fingertips" and the "domain of eye contact."

First, consider the domain of fingertips. The moment a plumber places their hand on a rusted pipe, their fingertips read the thickness of the metal, the degree of corrosion, and the subtle vibrations of internal water pressure. A farmer grasping a handful of soil senses its moisture content and the health of the earth. A carpenter feels the resistance as they push a plane along the grain of wood. All of this is a "tactile database" accumulated in the body over decades. No matter how precise the sensors attached, it will take robotic arms several more decades to replicate this sensation.

The domain of eye contact is the same. The subtle signals of pain that a nurse reads on a patient's face. The lapse in concentration that an experienced teacher catches in a student's eyes at the back of the classroom. The possibility of closing a deal that a good salesperson detects in the micro-expressions of their counterpart. These are "contextual intuitions" that cannot be reduced to data. Even if AI studies millions of photographs of faces, reading whether the silence of the person sitting before you right now is "silence of agreement" or "silence of refusal" remains the human's task.

What do these two domains have in common? They are "senses that only function when you are physically present." Not giving instructions remotely from beyond a screen, but abilities that can only be exercised by "being" physically in that place. The most irreplaceable asset in the AI era is not white-collar analytical ability, but this "Embodied Knowledge" that only beings with bodies can accumulate.

Here we confront an uncomfortable question. When AI learns from past data, it also copies the biases and stereotypes embedded within that data. The outdated division of labor—"caregiving is women's work," "physical labor is men's work"—survives like a ghost in algorithms, risking a regression of social relationships to the past even as technology advances toward the future.

But I don't view this simply as "bias to be overcome." Rather, this is a point where we must become more honest. Bodily differences and distributions of disposition shaped by millions of years of evolution certainly exist. The problem is forcing those differences into "norms," not denying the differences themselves. The challenge of the AI era is not the hypocritical equality of "all humans are the same," but "recognizing the unique value of each person's embodiment while refusing to confine it to specific roles."

Ultimately, before the mirror of AI, we can no longer hide our instincts. What matters is designing new relationships upon that honesty. The plumber's fingertips and the nurse's gaze, the farmer's sweat and the teacher's patience—the era when all this "wisdom of the body" was valued less than a line of code is ending. Reclaiming our "animal instincts" begins with reaffirming the value of embodiment.

VI. Part 5: The Collision Between Millennia of Ethics and a New Honesty

Given this situation, the systems of law, morality, and ethics we've built over thousands of years also face a massive challenge. Until now, morality was optimized for "suppressing instincts to maintain productivity" in an era of scarce resources. But in an age where AI produces resources and replaces labor, the old command to suppress instinct no longer holds power.

The core task ahead is how to settle these "newly honest desires" within a social framework. We must decide whether to preserve the wisdom of millennia while pursuing a new honesty, or to design an entirely new operating system.

Here I see the need for "meta-ethics." Not "denying" instinct, but the ability to "transparently acknowledge instinct while managing it non-destructively." For humanity—now animals who have obtained godlike abilities through AI—old moral textbooks can no longer serve as brakes. Instead, we need a "high-resolution philosophy" about why we should still remain human, why the suffering of others should take precedence over efficiency. The moment the resolution of morality drops, society will degenerate into a farm of hedonistic nihilism.

VII. Conclusion: What Expression Is Your Genie Wearing?

Let's return to the convenience store scene I mentioned at the beginning. Customers with earbuds in, submerged in the dopamine sea of their smartphones. They each carry a "genie" in their pockets, but sadly, they seem to have forgotten the opportunity to make wishes of it. Intoxicated by the sweet candy the genie gives (short-form videos, algorithms), they don't realize they're becoming not masters but "livestock."

We have just rubbed the largest magic lamp in human history. The genie has emerged and is asking us: "What is your wish?"

The wish we make at this moment must not be a low-resolution wish like "do my work for me" or "entertain me." We must honestly confront our animal instincts through the mirror of the genie, preserve the sensitive unease that ten years of experience taught us, and ask the genie to create a high-resolution world built upon the framework we've constructed.

The most valuable assets in the AI era are not graphics cards or data. They are "a clear will that knows what I want" and "an animal intuition that defies the indicators." Just as my inner instinct read opportunity when Tesla's stock indicators hit rock bottom, we must read the world with sharper senses while everyone else has their intelligence castrated in the dopamine swamp.

What relationship we form with the genie is entirely up to us. Will we become livestock satisfied with the feed the farmer provides, or transcendent beings who don the genie as an exoskeleton to expand our territory?

My first wish has been decided. Not to have the genie help with my work, but to have the genie push the resolution of my thinking to its extreme so that I remain a "more honest and sharper animal." What expression is your genie wearing right now? How clear is the resolution of the wish you're making?

We have only just begun our first conversation with the genie who has emerged from the lamp. And at the end of this conversation, some will sink into the dopamine swamp while others will become architects of a new civilization. I look forward to meeting you there again—as a "high-resolution human."