Metronormativity is pervasive—it’s the normative, standard idea that
somehow rural culture and rural people are backward, conservative, and
intolerant, and that the only way to live with freedom is to leave the
countryside for highly connected urban oases. Metronormativity fuels
the notion that the internet, technology, and media literacy will
somehow “save” or “educate” rural people, either by allowing them to
experience the broader world, offering new livelihoods, or reducing
misinformation.
In Shandong Province, I asked one thief why they decided to steal from
the government. As if I were missing the obvious, they responded,
“Well, clearly I would never steal from other villagers and none of
the villagers would steal from me. We all know each other. Once in a
while, we’ll take vegetables from each other’s gardens. But anything
of value, I’d steal from someone I don’t know!”
And the government would deserve it, to be honest. (This would apply to many governments, more than just the Chinese government, as they're all complicit in hoarding wealth and resources.)
The easy argument is that the world is moving faster, becoming more
controlled because of the internet and mobile devices. But the gravity
of acceleration is not inevitable. The way we experience time has
changed; the kind of critical wonder we hold toward objects has
collapsed. My great-uncle once sat in amazement looking at the new
Japanese-made TV we bought him, at how crisp the image was, and how
remarkable it was that so much complex circuitry could fit inside a
thin screen. He now looks up from his smartphone occasionally,
complaining how slow his phone is at opening apps.
Hardin’s original essay in 1968 used the example of the medieval
commons, a place where peasants grazed their cows. According to
Hardin, the ungoverned nature of the commons led to overgrazing, which
is why the commons had to eventually be enclosed and privatized. Yet
Hardin was also wrong about this history—the commons model had actually thrived in Europe for hundreds of years. The
mismanagement of the commons by peasants was a lie, an excuse made up by powerful landowners who wanted to seize and control these
spaces.
The same is often applicable to the quality of goods/services, which is also brought up. The quality of food, for example, was less of an issue prior to different forms of centralisation; companies demanded that people do things for as little as possible (squeezing them), and this in turn impacted the quality of those goods/services (making them worse).
Which then led to yet another round of 'tightening' and centralisation of those goods/services, which just keeps causing the cycle to get worse.
We trust all sorts of technical systems every day without having to
read their code. The software that flies our planes, runs our city
trains. Like a lot of emerging technologies, blockchain is beholden
only to its makers, and to a handful of well-funded companies. The
conventional answer to this is to suggest government regulation of
software, as is the case with airplane and train software. Yet the
political ethos of blockchain is precisely about taking power away
from a central authority like the government. And deep down, I find
that sentiment admirable. However, blockchain has yet to answer the
question: If it takes power away from a central authority, can it
truly put power back in the hands of the people, and not just a select
group of people? Will it serve as an infrastructure that amplifies
trust, rather than increasing both mistrust and a singular reliance on
technical infrastructure? Will it provide ways to materially organize
and enrich a community, rather than further accelerating financial
systems that serve a select few? Can the community expand and
diversify itself, so that it does not reproduce the system of power
and patriarchy that it is attempting to dismantle?
By creating a system based on the assumption that humans are
destructive and selfish, you only end up making those assumptions
reality: a self-fulfilling prophecy. It serves as a reminder of the
physical, material relationships that bind our world together.
YEP.
There is some debate about whether blockchain and crypto are here to stay, whether the technology is actually able to do all the things it says it will do. I think of the melamine-milk scandal, and whether blockchain would have helped in that situation. The contamination came from farmers, driven by economic pressures. Blockchain wouldn’t have helped prevent falsification, but it would have made the milk more expensive. Under authoritarianism, which benefits from holding expertise within its realm of power, and under an economic system that thrives off inequality in creating a market, of course blockchain is here to stay. It creates another layer of inequality, another incentive to make food a commodity.
According to Jianhu, the first case of ASF [African swine flu] in
China was in a backyard pork operation, one of the many midsize pork
farms with fewer than a hundred pigs. Ninety-eight percent of the pork
farms in China have fewer than fifty animals, and these small to
midsize farms account for about a third of pork production in China.
These highly decentralized farms make government oversight difficult. There is also enormous pressure for these farms to keep
up with the market price for pork, and to maintain steady production.
The government was finding ASF a convenient excuse to eradicate these small farms, making way for centralized, industrial-scale
operations.
See previous comment about the commons and centralisation/quality.
We created the ASF epidemic, says Jianhu, out of the quest for
cheap pork. One of the ways to ensure cheap pork is to lower the
cost of feeding pigs. Xiangyang village’s pigs were fed cooked grains
and beans fit for human consumption. ASF has been transferred
through industrial pig swill.
Later explanation that industrial pig swill includes treated food waste that often includes pork, which means that they're effectively feeding pigs to pigs.
Since 2009, in Lushan, Zhejiang, NetEase has been perfecting the art
of raising pigs under Weiyang, its new agricultural products
division. The farm in Lushan has the precision of an electronics
factory and the feeling of the world’s most sterile, meticulous
resort. On this farm, pigs live an optimized life, with an optimal
amount of exercise and an optimal swill mix. They even listen to a
soothing soundtrack, carefully designed for stress relief. This music
is beneficial for us, as pork eaters. Stress before slaughter can
alter a pig’s metabolism, increasing cortisol and resulting in what’s
known in the industry as “DFD” (dark, firm, dry) meat. Weiyang pork is
now available online and at special Weiyang retail stores scattered
across China’s software capital, Hangzhou.
More than a lone founder’s quest for pork purity or sheer novelty,
NetEase’s foray into the food space is a clever business move. As
Matilda mentioned to me in Shanghai, information about food is central
to food safety. This makes industrialized farming, including modern
pig farming, an information business, with a focus on scaling trust.
NetEase Weiyang declares itself to be combining “internet thinking and
modern agriculture.” And part of internet thinking involves farming
at a scale and degree of precision possible in software—a level of
control over every microscopic variable along the way, such as pig
stress levels. Weiyang’s entire approach is crudely
transparent—food, like engineers, can be a pipeline and sourcing
issue, solved through increased vertical integration. NetEase has
set up numerous massive online open courses (MOOCs) to create a
population of skilled workers for recruiting directly into their
company, addressing the existing shortage of skilled high-tech
workers. Similarly, Weiyang skips the step of working with sources,
instead creating its own source of high-quality pork, further
eliminating any point of failure.
All of this is just beyond bizarre to me, especially as someone who grew up on a dairy farm.
The logic is striking. A demand for pork drives industrialized farming
of pigs, which increases disease transmission. The constant
emergence of diseases drives the implementation of new technologies
like AI pork farming. These technologies go on to make pork cheap,
driving even more availability and demand, as people start to believe
pork is a necessary part of their diet. AI is not the balm to any
problem—it is just one piece of the ever-hungry quest for scale.
I see the myth of automation replacing humans as yet another attempt
by those in power to sharply define the boundaries of what being human
means, elevating AI to a form of power that seems to have a
righteous, natural force in our lives. This myth defines being human
as simply being a rational, efficient worker. The fear instilled by
these radical proponents of AI is ominous and forceful, and it
implies an inevitability written by those in charge—leaders in the
tech world, owners of companies that are building this scary AI. The
same fear of automation drives a public discourse that glints with a
subterfuge: that being human is the only thing that makes us
special.
The desire for a controlled world arises from an inability to honor
the unknown. “Sometimes we drug ourselves with dreams of new ideas”;
we think that “the brain alone will set us free,” wrote the poet Audre
Lorde in 1977. As a writer and activist, Lorde experienced firsthand
the connection between the personal and the political, asking us to
question the historically conditioned ways we have been taught to
understand the world. “The white fathers told us: ‘I think, therefore
I am,’” she says, referring to the Enlightenment-era philosophers who
dissected knowledge as a technical, mechanical pursuit, rather than
seeing forms of knowing as a reservoir of opacity, felt and lived
through poetry. She asks us to move beyond dichotomies of rational
versus emotional ways of knowing, for “rationality is not
unnecessary … I don’t see feel/think as a dichotomy.” Beyond
binaries, it is the place of poetry, “that back place, where we keep
those unnamed, untamed longings for something different and beyond
what is now called possible, to which our analysis and understanding
can only build roads.” Poetry is a place of power within each of us,
and poetry is “the language to express and charter this revolutionary
demand, the implementation of that freedom.”
On the ground, the bulk of AI research is being carried out by large
companies like Alibaba. The realm of AI ethics and public discourse
is saturated and funded by those same companies, like Microsoft,
Google, and Baidu, and corporations directly manipulate the creation
of ethical frameworks. It takes millions of dollars to create AI
models like ET Agricultural Brain, and an enormous amount of
computation time and data labeling. The economics of these technical
requirements concentrate control over these models in a handful of
companies. The broader AI industry requires a massive amount of
data, and subsequently, companies advocate for lax government
restrictions on collecting data. Until the makers and builders of AI
solve the material realities of the technology, AI will be stuck in a
downward spiral, as a tool to optimize life, shaping it into a closed
system. Without questioning the intrinsic faith held in prediction, or
the political economies of building algorithms, the field of AI ethics
and algorithmic fairness will remain mere fodder for dinner party
conversations among the rich.
For ET Agricultural Brain, so much labor goes into making the
models: not just the labor of engineers at Alibaba, but also the
labor of those who create the training data. Farmers examining training data and labeling the pig in the images as sick or healthy.
Entire swaths of Guiyang designated as “digital towns,” where young
rural migrants sit and generate training data for AI, clicking on
images, tagging animals and objects. Despite stories of AI replacing
humans, AI still desperately needs us.
.
That is the reality of work and labor. For more than twenty-five years, my mother woke up at 4:00 a.m. and drove to her job as a
university cafeteria worker outside Boston. She used to have a deep
commitment to her job, and it gave her a sense of fulfillment. It
felt good to feed stressed-out college students who weren’t taking care of themselves. She and her coworkers were trusted by
management, given breaks and autonomy on the job.
.
Over the past ten years, her feelings of fulfillment have
drastically turned. The school optimized her work with arbitrary,
quantitative metrics. As a result of this optimization process,
there’s less autonomy, fewer breaks, and new, bizarre working
schedules. My mother feels little connection to her job now. My
mother’s is the kind of job that some people think robots should take
over, that should be optimized and automated. After all, she would
supposedly get more free time and fulfillment in life. The irony is,
she stopped feeling fulfilled when her workplace became optimized, her
work stripped of meaning, turned into mere labor.
I ask Sun Wei his opinion about the equalizing effects of
technology, if a technical position like his is liberating and will
allow him to do anything he wants in the future. These equalizing
effects are pervasive throughout the technology and development
world, the stories of “technology transforming lives” tiresome in
their ubiquity. Projects like the failed One Laptop per Child, by
Nicholas Negroponte, or the Hole in the Wall project exude this
techno-optimistic belief—if you can give a laptop to a child or put
a computer in an Indian slum, children will teach themselves linear
algebra and become the next Bill Gates. We now know this is a myth
inflated by a hype cycle. A whole support system of teachers,
peers, and family is a stronger influence than a laptop or computer
screen. But part of me—the American part of me—wants to believe the
narrative about individualistic passion overcoming everything,
including a lack of formal schooling or connections.
It would be nice if we could toss the formal schooling, honestly.
The word “innovation” is laden with baggage. It gives rise to a
whole industry built on conferences, media, and thought leadership.
It’s not clear what exactly innovation is, but whatever it is,
there is apparently a paucity of this golden resource everywhere
except Silicon Valley.
.
In English, “innovation” was not always regarded as positively as it
is now. Its original form in Latin means “to renew, to introduce
something as new,” perhaps subliminally acknowledging that the
category “entirely new” is difficult to define. The word
“innovation” was derogatory in the age of monarchs, as it referred to
political and economic change that could bring down empires,
threatening the status of kings and elites. But slowly, throughout
the Industrial Revolution, the phrase began to be seen as more
positive when engineering culture took shape. In the early 1900s,
Thorstien Veblen advocated the idea that technology was the output,
the product of a group of male workers he termed “engineers.” And
while engineers worked to create technology, it was the company
owners, the grand industrialists, who reaped the profits of
innovation.
.
Contemporary innovation in the United States and China appears to
strengthen rather than threaten the political and economic order of
the world. Riffling through recent coverage on innovation shows the
most innovative products appear to be varying forms of management
through technology—managing people, cars, take-out orders, or goods.
Our modern-day monarchs, corporations and CEOs, are unthreatened by
innovation. It begs the question: If innovation is so disruptive, why
would it be embraced by people with so much to lose?
For both this young analyst and my VC friend, innovation still seems
to carry a lot of assumptions. Why does the new, the novel, always
require a certain amount of addiction to an app? If failure is so
important for innovation, why are we only confronted with stories of
technology’s successes, rather than stories of its spectacular
technical failures? If embracing failure is the prerequisite for
innovation, who has the privilege of failing?
Membership in the Rice Harmony Cooperative has been growing every
year, and this is no small feat in modern China, where individualism
is increasing and the memory of previously disastrous attempts at
collectivization by the government remains. Yet the cooperative
structure centers the community as the locus of decision-making,
creating a collective investment that is resilient under the strain of
strong personalities and politics. This is not an easy process to
navigate, with cooperative members needing to resolve conflict rather
than walk away from it. As a shanzhai endeavor, actions cannot be
singular and individual. Xinghai and Qiu spend planting seasons in
their own fields, and alongside other farmers, providing technical
advice and negotiating interpersonal conflict.
Explained in the text: Shanzhai literally means "mountain stronghold," but it is a reference to knock-offs (because people in those mountain villages couldn't afford name brands or official products).
I wander through the paddies, past the Frankenstein machines, past the
piles of rice straw used as organic fertilizer. If innovation casts
the spell of capitalism, in this mountain stronghold, I see shanzhai
as a verb, used to cast a different kind of spell. To shanzhai. To
turn protocols into practices that bind us together rather than centralize authority. To turn back the worship of scale and renew
our commitments to care. I think back to the words I heard when I
was a kid, the other magical phrase, Made in China, and the
dismissive tone in the man’s voice. Barometers of success and
innovation are invented by those with money, turning engagement into
the surface-level interactions of informed users, rather than the
deeper actions that tackle structural, social change by invested
citizens willing to hold long village meetings. Entire
entrepreneurship programs exist, funded by VCs, designed to foster
what VCs see as the core values of innovation. Instead of continuing
to accept success and innovation as empty containers, I propose new
measures, understanding our world through shanzhai, through the
ability to care, maintain, renew, and deepen commitments.
This is definitely an aspect of the world I would love to see supported.
Like China’s food and language, urban villages have an enormous amount
of regional variation. What is common across all urban villages is
that they are home to those on the fringes of city life—nannies,
housekeepers, construction workers, delivery drivers. In Shenzhen,
urban villages have played a key part in the city’s rise, nurturing
new inventors with brash ideas and informal economies. Yet because of
the socioeconomic status of the population residing in urban villages,
these areas are deemed dangerous by upper-middle-class urbanites. The term that upper-middle-class Chinese people use to describe this
population is “low-quality” (disuzhi, 低素质). Strangely, the
upper-middle class seems to have no qualms about the low-quality
population traveling to wealthier parts, watching over their children
and cleaning their homes.
Though they don't often reside in 'urban villages', many people reside in suburbs and outside of the cities in which they do the same work. They live on the fringes of the city, in the cheaper areas, working for the wealthy who look down upon them; the wealthy see those areas as either worthless or dangerous (or both), yet they don't care that they rely upon these people. The contradiction doesn't connect for them.
To be fair, I feel this in my work. I'm from a rural background and have made cities my home, working with the children of upper-middle-class people. They have no qualms about me teaching their kids, but they are still happy to talk about me (and people like me) as if I have no value.
All this information sits in a database, a hulking engineering marvel
that underpins so much of our modern world. Databases allow people
to read, write, update, and destroy data in a fairly dependable way.
They also require the people who build databases to form strong
opinions about the world and the way it’s structured. For example,
the attributes of a user on a platform are dictated by columns an
engineer defines in the database. Different databases have different
logics for the way data must be formatted, which in turn shapes the
way we have come to encode the world. In the case of Real Population
Platform, Xiaoli tells me the hardest part is data compatibility.
.
“To be honest, many of the recent upgrades in Guiyang have been a
headache.” Xiaoli looks at me, and then suddenly asks, “It is true
that Americans each have a number that allows them to be tracked? But
that there is only one database that has that number? The social
benefits number?” It takes me a second to realize that he means
social security numbers. After all, it’s not immediately obvious to me that a social security number tracks us. But it does, as any
American can attest to: the social security number and credit score
follows us, it dictates if we get loans, if we can access credit,
and if we can access housing. And while we give our social
security number out somewhat casually, research has shown the ways
credit scores, attached to our social security numbers, exacerbate
deeply entrenched inequality in the United States. For an
individual, it’s an innocuous number, but on a large scale, it forms a
hulking system.
The commercial runs, with sound effects, on repeat, every minute.
Standing in front of the screen, abetted by the occasional coo and
glitter effects behind her, the Megvii spokeswoman I talk to makes it
very clear: Megvii doesn’t store any data, it just makes the
algorithm. It is innocent, she says. What governments and companies do
with it is up to them. The engineers show up every day and just do
their job.
.
The Megvii algorithms break down bodies and life into numbers,
measurements, and parts. This kind of thinking is not new—many of us
have been locked into it for hundreds of years, while grasping at an
elusive, atomic sense of identity. Looking at the engineers at their
desks, it can be easy to judge their ethics, to question why they
continue to show up every day when Skynet videos play on loop next
door. Yet, like most desk-based jobs these days, the ethical boundary
becomes defined by awareness. When you have been made accustomed to
solving problems by breaking them down into parts, how could you see
the larger picture to know whether you’re doing harm? The world is
certainly complex, but doesn’t it feel good helping law enforcement
make the world safer? Why shouldn’t you trust that your work is being
used by policy makers who know what they are doing?
Megvii (Face++) is one of the beautification programs and identification algorithms.
The "just do their job" is so ubiquitous that, one day, we need people to realise they do not need to simply do their job. But it's hard to get people to understand how the work they're doing is harmful, especially when it's couched as something as simple as "a beautification tool" on WeChat or a filter on TikTok or whatever people want to call them.
At some point, we need to recognise that people are using these tools (across the globe) to harm and/or control us. They're using them to create programs that allow us to "securely" access our social benefits; they're using them to determine who is allowed to go where and how.
And while it sounds like fear-mongering, we should be concerned. It's not "just doing your job" after a while.
Inner Mongolia was my friend’s home province. The trip was his attempt
for us to see the grasslands of the region—instead, it ended up being
a tiring journey on buses and trains, a requiem for the last parts of
nomadic Mongolian life. We drove from a copper mine to a coal mine
outside of Hulunbuir, watching straggly sheep herds in the waning
grassland. He’s ethnically Mongolian, but his family ended up on the
Chinese side of the border during the split between independent
Mongolia and Inner Mongolia as a territory of China. As an ethnic
minority in China, he has a fraught relationship to the government.
Early assimilationist policies, alongside forced resettlement of
nomadic Mongolian herders into Han Chinese–built cities, has led
to an erasure of Mongolian language and culture in the region.
Mining, an industry exalted by the national government, is
desecrating pastureland—these tensions were crystallized in a series of 2011 protests after a Han Chinese miner ran over a
Mongolian herder.
This whole section is incredibly sad, particularly as it details their friend's life and how he is trapped with a criminal record from brash behaviour when he was a teen (which is entangled in his ethnic minority status).
Yet as a tactic of policing, surveillance has always been crucial in
making criminality throughout history, drawing a line between those on
the so-called right and wrong sides of society. And this line drawing
is enabled by distilling life into arbitrary parts: class, race,
gender, with the line of criminality itself constantly shifting
throughout time, serving political-economic crises. “Crime went up;
crime came down; we cracked down,” writes the scholar Ruth Gilmore.
There is another side to data, illuminated once we understand
constructions of fear in our day-to-day lives. “Can data ever know
who we really are?” asks the policy researcher and activist Zara
Rahman. For my friend and many others, the data on a past crime
remains committed to his record. And while his life changes—he
becomes a friend, a husband, a doting father, an artist, an uncle—all
the data points about his past remain static. Data cannot truly
represent the full spectrum of life. It remains a thin slice of the
world. There is always some kind of bias built in. Yet we imagine
numbers to mean something, and this creates a common tendency that
the statistician Philip B. Stark calls “quantifauxcation”: the
attempt to assign numbers or quantify phenomenon, as if quantitative
data can offer certainty. Some strategies for quantifauxcation, says
Stark, include saying things people want to believe, and adding opaque
complexity to models, since complexity has become conflated with
accuracy.
Why didn’t Xiao Niu stay in Guangzhou? “City life is not designed to
keep you there,” he says. “If you earn RMB 3,000 or 4,000 a month,
that’s great money, sure, but city residents spend more than that just
on rent. You can’t build a life off that.” Sometimes we play the game
or the game plays us. And so Xiao Niu took the money he’d earned and
returned home to the mountains of Guizhou, determined not to be played
by the game. It at least was enough money to do things like improve
his parents’ house and buy his dad a printer.
.
Part of tackling poverty means being able to measure and map it. There
are disputes among experts in the field of international development
on how to do this, especially on how to measure poverty in communities
that rely on farming. Defining household assets is one method, but
with farms, depending on the season when you take the measurements,
assets will change before and after harvest season. Another method is
quantifying household disposable income—the ability to purchase. It’s
these on-the-ground variations, compounded into larger macro-economic
figures, that lead to claims that global poverty is getting much
better, or much worse. Yet these claims do not answer how people
become poor in the first place, and, if we have found the key to
eradicating poverty, why it still exists.
.
However you quantify it, the facts laid bare are these: Shangdiping
and other places in rural China have higher infant mortality and lower
life expectancy rates than cities. Education access is lower. And the
entrenched poverty of China persists in its remote, rural, ethnic
minority regions such as Xinjiang, Tibet, Ningxia, Guizhou, and
Yunnan.
RMB 3,000 to 4,000 is equal to roughly USD $460 to 620.
To note, the rent that I paid when living in Shanghai (which was cheaper than most of my friends)? Was RMB 7,000, which is a little bit under USD $1,100. A lot of my Chinese co-workers were severely underpaid (especially in comparison to every single white person working in the school); they might have pulled in half of my salary (RMB 22,000 - almost USD $3,400), working as teachers in the same school.
So keep that in mind.
But it's also worth pointing out that none of these poverty-measuring tools are consistent. The EU measures it based on percentage, some organisations measure China's "raising people out of poverty" based on people living on more than $1.90/day, etc. It's also interesting to note that the people determining levels of poverty are the same people who are responsible for many people being impoverished in the first place.
Funny that.
“Alibaba sucks us dry,” he says. “It sucks the blood out of us, and
it will suck the blood out of this village. As sellers, all our
money is kept in Alipay because that’s how buyers send money. At the
drop of a pin they can demand a refund, and because of the escrow
service, the money gets sent back to them, even if I’ve shipped the
order already. Or maybe they don’t like the material, they think it’s
cheap. But we have to keep on making worse-quality stuff. How are we
supposed to keep prices low and also compete with others? The
government thinks it’s great and keeps doing things like building
roads, putting in broadband. And Alibaba uses all this infrastructure
for free, relies on us to make decisions on lowering the quality of
goods. But what happens next? There’s only so much cutting corners we
can do. There’s only so many ads we can buy, lies about the products
we can say. What happens when this system fails?”
Refusal and purchasing to support are both cruel optimism, providing a false sense of control. It’s that same sense of control that makes
shopping so pleasurable. In a world that is so interconnected, with
problems at a scale I cannot comprehend—climate change, plastics in
the ocean, e-waste, political instability from globalization—the trick
of shopping is that it makes me feel like I am doing something about
those problems. I am asserting my agency, this agency that I am
promised as an American. My small choice to either buy or not buy
exerts control over the world as I want to see it—as I imagine it,
maybe more eco-friendly, more sustainable.
The proliferation of MLMs [multi-level marketing schemes] can be
easily blamed on social media and technology, just like the spread of
misinformation, bizarre health advice, or selfie culture. Yet the
reality is more complicated. Social media and online community
certainly play a part in accelerating information, as well as in
decreasing the barrier of accessing content. But these online
interactions are a manifestation of broader socioeconomic
conditions. With one of the worst, most error-prone health-care
systems in the developed world, why wouldn’t you seek out online
health advice or alternative explanations for illness in the United
States? With deepening job insecurity and the elusiveness of the
American Dream, why wouldn’t you at least try joining an MLM to sell
online?
The popular Chinese press likes to fan the flames of Kuaishou’s impact
on rural society. For example: Zheng Tao, a rural youth who left his
village for factory work in a city. A loser on the margins of urban
life, he moved back home and became a livestream celebrity, making
money from adoring fans. Other similar success stories have encouraged
millions of youth to search for money and fame online. Chinese
livestream’s popularity echoes the same desires of American
livestream, whether it’s groups behind pearl parties or niche YouTube
stars. The desire for community, for companionship, and, mostly, for
monetizing emotions has never been stronger.
A movement coalesced around Peppa Pig, crystalizing a careless
nihilism and rejection of mainstream values. Like in so many other
countries, consumption has become the sacred value of daily life
in China. The narrow path laid out by authority figures and parents
is to get good grades to go to a good school, go to a good school to
get a good job, and with a good job, shop, have kids, and shop some
more. Instead of abiding by this prescribed life, shehui ren have
no desire to enter the competitive whirl of school and employment; they see through the expectations of society. And the government
sees this kind of nihilism as troubling, both socially and
economically.
In Lee Edelman’s book No Future: Queer Theory and the Death Drive,
he provokes readers to think about a set of impossible politics, a
theory of failure. While conventional politics are defined as the
push and pull between the left and right, he insists that most of us
end up creating a culture where political action is premised on the
illusory figure of “the Child.” The call to act is haunted by the
specter of “our children,” whether it is a future of environmental
destruction or a disorderly future without “traditional values.”
We are always trying to live for the child that does not yet exist, fixing the world for our children who do, impressing our expectations
on their desires. These political visions draw upon fears of
decline or loss of control, on an innate need to crave a future—some
kind of story or meaning that motivates us to keep living. This same
need is the reason why we get stuck in a cycle of chasing after the
future, a future that never appears as perfect as we imagined it to
be.
I think of my parents, my grandparents. My grandmother and her
nightmares, how the last few years of her life were marked by her
confronting the depth of her past, despite having lived for the future
in her youth. My mother’s insistence on a better life, as she defined
it, full of expectations for her children’s future that neither my
sister nor I was able to fulfill. Her fingertips, cracked and dry from
working, saving for a life that she felt was not hers. Why do I work
long days to dutifully pay off the five-figure student debt I have,
the debt I took on in fantasizing about a better life? Even if I paid
off the debt, would the debt-free future that awaited me be as perfect
as I imagine?
I stare into the darkness that shifts with occasional washes of light.
I cannot bring myself to see the honeyed visions of a comfortable
future. Instead, I see the intrinsic truth of living as one of
difficulty, the constant effluent of change. Without a future, I
must give myself over to the present, to undertaking the work that
must be done.
I continue to stare. The present stares back. The present moment
promises nothing—it only demands. It demands building the
communities that shift culture, that allow interbeing to thrive. It
demands the work of awareness and care, instead of the tools of
efficiency and scale. It demands seeing individual freedom as
nothing more than a way for all of us to be oppressed. Most of all,
the present demands the tender, honest work of attempting to make
meaning, instead of looking, waiting, or wanting. Through the
present moment I see the glimmers of liberation embedded in the work
we must do at this time. Because what else can we do?