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Epilogue: A Book That Can Reach the Future

This book began with the simplest of actions: go back to the original text.

Chapter 1 used Jensen Huang's Seoul trip as an example — a single remark distorted beyond recognition after passing through three layers of media translation. You might have thought it was just a current-affairs piece. It was not. Replace Jensen Huang with anyone, replace 2026 with 2036, and the principle holds exactly the same. In earlier times, when entertainment-industry contract disputes arose, those in the know would always go to the English legal documents first — because the Chinese version was a translation, and phrasing, clause boundaries, and liability scopes all shift in translation. If you make judgements based solely on the Chinese version, you have already lost at the starting line.

This principle does not expire. It applied twenty years ago; it will apply twenty years hence. Information being distorted in transmission is a structural feature of human communication, not a phenomenon unique to any particular era.

But not everything in this book has the same shelf life.


Shelf Life

I must be honest with myself.

Industry analysis has a shelf life. NAND cycles, structural issues with HBM, Microsoft's AI subscription strategy — these are selected publications drawn from over a hundred analyses in my database. AI helped me accelerate information organisation and preliminary analysis, but the final judgement, translation, and decision of what was worth writing up as an article remained my own work. Most of my analyses never get published; they go directly back into the Mythogen Engine database, becoming fertiliser for the next book, the next in-depth article.

These industry analyses have immediate reference value — people read them, people share them. But they have a shelf life. Six months later, when market data changes, the analysis's premises loosen. A year later in retrospect, many specific judgements will be outdated. This is not a question of writing quality; it is determined by the nature of this type of article — they closely track current events, and current events pass.

Chapter 4 dismantled the half-life of narrative: things inflated through emotion and packaging have a half-life measured in weeks; things grounded in structure and fact, in decades. This pattern applies equally to this book itself. The data cited — Gartner reports, CNBC statistics, OECD wealth distributions — will be superseded by newer data in a few years. Specific company case studies will become outdated; specific technical terms will be overwritten by new vocabulary.

But the structures behind the data will not become outdated.

Chapter 2's dissection of Microsoft and Sega traces a forty-year causal chain. It is not predicting next quarter's earnings report; it asks: why do the tool chains you use today, the technology choices your company makes, the semiconductor policies of your region, look the way they do? The answers to these questions will not change because NVIDIA releases a new product next month. The pattern dismantled in the book — using convenience to attract users, locking in developers, monopolising and rent-seeking — happened with DirectX, happened with CUDA, and will happen again on some future platform whose name you do not yet know.

Chapter 5's dismantlement of information feudalism had PC Magazine-era examples from the 1990s; twenty years later, it goes by different names — "paywall" and "traffic tax" — but the underlying structure is identical. Chapter 9's corporate-culture dead knots — consensus costs, struggles over narrative power, post-hoc attribution, institutional self-selection — change the company name, change the industry background, and anyone who has spent more than three years in an organisation will recognise them. Chapter 7's anxiety-arbitrage mechanism was called "if you don't go to cram school, you'll lose at the starting line" ten years ago; today it is called "if you don't learn AI, you'll be left behind." The formula has not changed.

These articles are useful to read today; they will be equally useful ten years from now. Because what they extract are structures and patterns — invariant principles, repeated mistakes — not a particular day's share price or a particular quarter's shipment numbers.

Industry analysis is fertiliser for the database. The books are the gifts for the future.


Ten Years, Twenty Years

I have a very personal sense of time when it comes to writing.

Many times in my life, something like this has happened: I said something to someone, they had no reaction at the time, might even have thought I was talking nonsense. Then, ten or twenty years later, I suddenly received a message: "I finally understand now what you were saying back then."

Every time I receive such a message, I feel that the ten or twenty years of waiting were worth it.

So my mindset in writing a book has never been "I hope you understand right now." What I write is: if you read it today and find it makes sense, good; if you read it today and do not quite understand, no matter — set it aside. When you have hit enough walls on your own, you will come back to it.

Chapter 13 dismantled a phenomenon: the same book read at different life stages yields different things. Not because the book changed, but because your cognitive model evolved. A fresh graduate reading the Chapter 9 corporate-culture analysis may only think "that makes sense"; after spending ten years in an organisation, seeing how consensus costs grind a good decision into mush, seeing how narrative power pushes competent people to the margins, opening the same chapter again, the weight of every paragraph will be different. Chapter 16's closed loop — credential inflation, the collapse of "more work, more reward," the compression of survival space — a twenty-two-year-old might read it and say "society is indeed not very fair"; at thirty-five, discovering they earn more than their parents did at the same age yet cannot even afford an equivalent-sized flat, the three layers of structure are no longer analysis but lived experience.

But this only applies when the "word" in the book carries "meaning" compressed from real experience behind it. A book built from tautologies yields the same thing no matter how many times you read it — because nothing was ever compressed into it. Chapter 12 used a metaphor: espresso and plain water in identical cups look equally sparse, but the former is white space after compression; the latter is white space where there was never anything. Ten years later, you sip the espresso again and it tastes different because your palate has changed; but the plain water, ten years later, still tastes like plain water.

The books I intend to write — industry analyses are fertiliser for the database; the books themselves are the gifts for the future. Ten or twenty years from now, young people reading them for the first time may see only the surface-level cases and stories. Once they have lived through the squeeze of the system, tasted what it feels like when the ladder is stolen, been manipulated by narrative and then awakened from it, they will open the same book and read an entirely different layer. That different layer was not added by me afterwards; it is something they could only see after they had lived it themselves.


But This Endeavour Is Time-Pressured

You might think "writing for the future" is something that can be done slowly. It is not.

Chapter 18 dismantled the degeneration of the M-shaped society: the middle layer being squeezed to nothing; you either move up or fall down; the platform that once let the majority live stably is vanishing. OECD data is in black and white: in OECD countries, the wealthiest 10% of households own more than 52% of all household wealth; in the United States, that figure reaches 79% (OECD, 2024). And even when relative wealth inequality increases only modestly, against a backdrop of rapid overall wealth growth, the absolute gaps between strata are widening sharply (OECD, 2025). Chapter 16's "the ladder was stolen" is a personal experience; Chapter 18's is the entire floor structure deforming. The ladder being gone is one thing; the floors themselves collapsing is another.

And this collapse will not stop at this generation. It will be passed down.

I have a pair of twins.

This is not a rhetorical device. It is the reality I face every morning when I wake up. Two very young children, born into a society that is degenerating from bell-curve to M-shaped. They do not know what information feudalism is; they do not know what narrative manipulation is; they do not know what "anxiety is the best product" means. They do not know that people use tautologies to counterfeit depth; they do not know the algorithm's recommendation logic is designed for advertisers, not for them; they do not know the cost of "free" is having their judgement stripped away.

But they will grow up. They will enter school. They will step into the workplace. They will face every structure this book has dismantled — from Chapter 7's anxiety arbitrage to Chapter 9's corporate-culture selection, from Chapter 5's knowledge stratification to Chapter 16's closed loop.

"For the future" is an easy thing to say. When spoken, it carries a warm vagueness, like those gold-lettered quotes set against mountain scenery on late-night social media — making you feel there is a direction, but in fact specifying nothing. The Prologue dismantled the structure of such sentences: their function is not to provide answers but to make you stop asking.

But the "future" I am speaking of is not abstract. It is very concrete — concrete to the point of two faces, two names, the body heat you can feel when putting them to sleep at night.

Your choices today determine their starting point.

Chapter 18's closed loop is suffocating enough at the individual level: knowledge stratification → middle-layer compression → fewer people capable of independent judgement → the structure becomes harder to change. But the true cruelty of this loop is that it is intergenerational. If your generation sees the structure clearly yet does nothing, the next generation will be born into an even more closed loop — they will not even know the loop exists, because no one ever told them. If knowledge continues to be class-stratified, the number of people who can read the mechanics, identify narrative manipulation, and make independent judgements will dwindle. And the fewer such people there are, the harder the structure becomes to change.

In an M-shaped society, being self-sufficient today does not mean the next generation can be. You can choose not to see, not to speak, not to write. But your children will grow up in the world you chose to stay silent about.

So "freely distributing deep knowledge" is not merely the personal choice described in Chapter 18. It points to a more fundamental problem: if this generation's people who can read the mechanics do not leave their observations behind, what does the next generation use to recognise the mistakes that have been repeated for millennia?

Understand the mechanics, and no change in technology can frighten you. But the prerequisite for understanding the mechanics is that someone writes them down.


Back to That Machine

The first piece of evidence presented in the Prologue was a passage of AI-generated Schopenhauer consolation text.

Four-layer formula — citation to establish authority, emotional reversal to manufacture resonance, consolation to seal off further questioning, a golden quote to stop thinking. The entire bestseller-generating machine requires the author to have no life experience whatsoever, no research into Schopenhauer, no personal history of anxiety, clarity, or being polished. All it needs is an API key and a set of prompt templates. Chapter 10 dismantled this machine to its core: the industrial production of tautologies is the intersection of anxiety arbitrage, the prose illusion, and corporate rhetoric — it uses anxiety as fuel, prose as shell, rhetoric as structure, producing text that makes you think you have been understood when in fact nothing has happened.

After eighteen chapters, you should already see clearly: this machine was not invented by AI. AI merely increased its output by several orders of magnitude. Humans counterfeiting depth with tautologies requires no technology at all — Chapter 11 dismantled the bestselling author's writing formula; Chapter 12 dismantled the distinction between tautology and post-compression white space; Chapter 13 pointed out that a book built from tautologies cannot generate new meaning upon re-reading.

Now you can go back and re-read the Prologue's Schopenhauer passage.

"Your current anxiety is not because you are not good enough, but because you are standing at the threshold of a deeper understanding. Push it open, and you will discover: the answer you have been searching for has never left."

This passage is still grammatically correct, diction appropriate, structure complete. But the way you read it has changed. You know what its four-layer structure is. You know what the three characters "tautology" mean. You know a sentence can make you pause and look twice, yet say nothing. You also know — what something truly profound looks like: it does not make you feel understood; it makes you see structures you could not see before. And then, in your own life, you verify it, layer by layer.

AI can generate an infinite quantity of "profundity."

But consciousness — that thing that comes from having lived — cannot be generated. It can only be lived, then compressed into words, waiting for another person who has lived to decompress it.

What this book attempts to do is exactly that.


Wei Ji — Not Yet Accomplished

The sixty-four hexagrams of the I Ching — the final hexagram is not "Ji Ji" (Already Accomplished). The final hexagram is "Wei Ji" — Fire above Water, Not Yet Accomplished.

The arrangement of the sixty-four hexagrams is itself a design: it does not close with completion but with incompletion. Because completion is an endpoint, and only incompletion holds the possibility of continuation. Chapter 12 dismantled the structure of the Taiji: yin contains yang; yang contains yin. No absolute zero; no absolute one. At the extreme of all things, a thread remains.

This book, too, is Wei Ji.

It dismantled the manufacture of narrative, but narrative will not stop being manufactured. It dismantled the flow of costs, but costs will not stop being transferred. It dismantled the truths AI exposed, but new veils will continually grow. It located the position of consciousness, but consciousness will not grow automatically just because it has been located. It accounted for the choices and the road, but the road will not become easier simply because it has been described.

What I can do is to record what I have seen as honestly as possible. In a manner that will still hold up when I look back ten years from now. Left for those who have not yet hit this wall — including my own children.

Not because I have confidence.

But because these things, if I do not write them, no one will write them for them. And they will eventually need them.

Wei Ji. Not yet accomplished. Still on the road.