From the Night King to Capital

[snippets from an unfinished essay]

“The end of the HBO series Game of Thrones was still worse than 2020”, a meme I encountered while endlessly scrolling through Facebook or Reddit -I don’t remember- but it stuck with me. Those who watched it understand, for those who didn’t: don’t (or instead, I recommend quitting before the last two seasons). The Game of Thrones television series is an adaptation of the Song of Ice and Fire novels but will deviate from them in some areas, partly because the book series -author George R. R. Martin- isn’t finished yet. “You’ll hate it, you’ll love it, you’ll vow to never read it again and then you’ll be eagerly looking for the sequel.” wrote WilkinsonBec on Enki-Village about the Game of Thrones: 7 Books in Order.
The Game of Thrones is about the Seven Kingdoms of Westeros, princess Daenerys, queens, princes, incest, noble (Stark) families, the Night’s Watch, battles, riots, treachery and murder, slaves and tribes, dragons and the undead. I will quote some fans to depict what you might have missed (while watching it or not watching it at all).

“According to legend, the Night’s King was originally a Lord Commander of the Night’s Watch who found in the Haunted Forest a cold woman with bright blue eyes, seemingly a female White Walker. He took her to the other side of the Wall and declared himself the “Night’s King”.

The Game of Thrones fandom (https://gameofthrones.fandom.com/wiki/Night%27s_King)

Pieter is the GoT fanboy who introduced me to the TV series. He explained that White Walkers are a race of sentient beings that can raise the dead, a.k.a. Wights (I called them zombies when watching the series together). Don’t confuse them with each other, he notes. A song of ice and fire is a fantasy novel inspired by the War of the Roses, a historical event in medieval Britain. “The HBO-show isn’t half as good as the books.” Author George R.R. Martin (born September 20, 1948) has been holed up and deep into writing at a remote, isolated location during the pandemic. Pieter excitingly waits for the new book.
“Even Barack Obama has said that it taught him more about politics than any textbook. But for some reason, it hasn’t caught on with the black audience because … well … I guess because dragons are white-folks shit. But there is one reason I recommend that we as a people incorporate dem Thrones into our viewing habits: It explains wypipo.
GOT is basically an all-encompassing analogy for white America and should be studied in the same way seventh-grade English teachers make their students dissect Animal Farm or Lord of the Flies to understand society.” 1 wrote Michael Harriot in The Black Person’s Guide to Game of Thrones, July 2017. Dragons stand for white privilege says he and Donald Trump is a Lannister. He “discussed how the “army of the dead” (the White Walkers) is a metaphor for the white nationalist movement that seeks to slowly purge this country of everything other than Caucasian Christians.” 2
The digital data economy has all sorts of ways for determining how valuable you are to a marketer and your race is one of them. Algorithms aren’t racist. People are. But raw data is an oxymoron. Most of the time, we have no clue about how the algorithm works, and we aren’t aware of the power that is unlocked with our data. I fear that we could all become Wights, but some are easier targets. I see a resemblance between White Walkers and the rich white men from Silicon Valley. We should neutralize them. Hand me a weapon made of Valyrian steel!

(YouTube ad)

Lord Snow

The Silicon Valley White Walkers walking in their white paradise. “IBM, Lockheed, Syntex, Hewlett-Packard – the “white lady” was passed around the iconic tech companies of the time by bathroom attendants, shoeshine boys, mailroom clerks and sometimes even a stranger with a pager from off the street in the 1980s.3 Snow, crystal, ice, sugar, stardust; cocaine. The Night King, leader of White Walkers, won’t wait out the snowstorms because he is the one who brings it.

“Cocaine, like software, is a technology. We process coca leaves to make cocaine, cocaine to make crack, and numbers to make software – all to meet human needs and desires. Technologies – whether cocaine or software – become white or black by association. Cocaine was considered a white drug, and chemically pure. White people used and had access to it because they could afford to pay for it, or had the cultural capital to associate with those who did.” Crack was dark, dirty, more affordable and considered a black drug. Cocaine addicts are seen as sick and suffering from a disease, and black users as dangerous and criminal. White people’s perpetual fear of blackness and black people kicked in. To white technologists, black people have always been a problem that invited computational solutions.4 White people have never been seen as “a” or “the” issue here. Silicon Valley still has, at least metaphorically, a cocaine problem. 

“Ten large technology companies in Silicon Valley did not employ a single black woman in 2016. Three had no black employees at all. Six did not have a single female executive.” Adobe, an American multinational computer software company, headquartered in San Jose, California, had no black executives in 2016, and I am not sure if it has changed. And Nvidia’s workforce was 17 per cent women. It declined multiple requests to discuss this but had, just like eBay, a high proportion of Asian professionals, such as analysts, designers and engineers. They employed among the lowest percentages of black, Latino and multiracial professionals. Women and other minorities are overrepresented in support jobs, such as administrative assistants, customer service and retail, but other doors stay shut.5

Hold The Door

Bran Stark has visions, and in season 6 of GoT, he finds himself, in a dream, looking at an army of wights, the Night King and other White Walkers. Bran comes and is shocked to see that the Night King notices his presence. The Night King suddenly appears right next to him and grabs his arm. Bran wakes up screaming. He is marked, and because of that mark, the Night King now knows exactly who and where he is. 

“If it was true during the early dot-com days that “nobody knows you’re a dog,” it’s the exact opposite today.” wrote Cathy O’Neil in Weapons of Math Destruction. Alphabet (the mother company of Google) and other advertisement companies find ways to mark you and feed on that information. O’Neil takes the example of the University of Phoenix, Corinthian College, Vatterott College and other for-profit colleges that assure -in education- a usually false road of prosperity and leaves their customers (I intentionally wrote customers i.s.o. students) with huge debts. The targeted customers for those scams are clustered under example: “isolated”, “impatient”, “low self esteem”, or “Welfare Mom w/Kids”, “recent divorce”, “low income jobs”, “drug rehabilitation”, “dead-end jobs – no future”. Why? Vulnerability is worth gold! Recruiters find out where the pain is. They’re more likely to target the people in the poorest zip codes, particularly those who’ve clicked on an ad for payday loans. The Internet -and machine learning- provides advertisers with the most outstanding research laboratory ever; feedback arrives within less than a second, their fine-tuning never stops. 

Everyone needs money, but some more urgently than others.6. I am privileged, and I have all the resources I possibly need. I am, like many others from my generation, neck-deep in debt from student loans. And that is without being directly targeted as such, I think, I thought… I decided to look it up (and you can do it too! it is straightforward!). I wrote about how connections are drawn, and correlations are made between race, religion, zip code, and more specifically *must love cats, House & Garden (magazine), Drake (rapper), pub quiz, ArtForum, Female Entrepreneur Association, Bollywood films, Tatler, Transgenderism, Castle (TV series), Afterlife, Ibiza, Watermelon, Extreme Metal, Gamble, Ghosts, Techno, Thank You (2011 film), TV 2 (Norway), Province of Brabant, Postmodernism a.o. All of these data points are proxies. 

Killing a Night King -Alphabet for example, or Facebook- with its army of White Walkers -Google Maps, Waymo, WhatsApp, Nest, and other ventures- and all wights (zombies) under their command, would put an end to the Great War before they own us completely. However, I stand with Jon Snow, who dismissed this plan in season 7, arguing that trying to fight a way through the wights to reach the Night King would be suicide. I will explain my preferred battle tactic is a bit.

*List of what Facebook bases “my ad preferences” on, which influences the ads I see and takes control of my ads to experience. (https://www.facebook.com/ds/preferences/?entry_product=information_about_you&section_id=interests) accessed on 26-5-2020

The Old Gods and the New

“Power. Instead of making people compliant, it seeks to make them dependent.” 

Byung-Chul Han, 2017

Their intensity is vast, the content extensive, the capacity endless. The volume is high. The scope wide. Size is a problem. The (Night) Kings are too big-to-fail institutions, Facebook, Apple, Amazon, and Google. Well, those are the well-known names amongst the big tech companies. As I confirmed earlier in this text, they have a significant influence that we shouldn’t underestimate. Their power reaches beyond wights and users, from the (financial)market into politics. These Kings are difficult to police. Their debts are the biggest ever. They don’t mind. For others, the smaller companies debts are more problematic. 

“The Bank for International Settlements – the international body that monitors the global financial system – has warned that the long period of low rates has cooked up a larger than usual number of “zombie” companies, which will not have enough profits to make their debt payments if interest rates rise. When rates eventually do rise, warns the BIS, losses and ripple effects may be more severe than usual.” 7 The zombie firms are rising. Many companies cannot service their debts, but young companies that may need more time for investment projects to deliver returns do not qualify as zombies just yet. Easy money allows companies to borrow cheaply, low rates stimulate investors to take their chance on riskier companies. This is not inherently bad, but resurrecting companies requires greater and greater amounts of capital and drains the rest of the economy of resources. Most airlines, for example, are losing money for years. K.L.M. is resurrected over and over again with the state capital. “In December, the Indian government, after many changes of heart, finally announced they are going to get rid of the entirety of Air India by seeking to sell 100% of the money-losing airline. Air India is reportedly sitting on $10 billion in debt and in 2019 was cut off from fuel supplies at several airports due to unpaid bills by the state-owned Indian Oil Corporation (IOC) before the government stepped in with a bridge loan.” 8 And it is not much better for others: “Alitalia entered the third year of “extraordinary administration” (a form of bankruptcy protection) in May 2019, and has exhausted the €900-million lifeline extended by the Italian government two years ago. A new €400-million lifeline should be available by the end of January 2020, as no serious buyers were found.”

Condor Flugdienst is flying around on a taxpayer guarantee. Condor obtained a €380-million bridge loan too.9 British Airways will sell off a part of its corporate art collection to protect jobs and avoid laying off staff as it faces cash due to the worldwide COVID-19 lockdown. “According to Forbes, British Airways’s parent company IAG reported a £1.5 billion ($1.8 billion) loss in the first three months of the year. In April, the airline furloughed 30,000 staff, according to the Guardian, and it was reported this month that the company is considering cutting 12,000 jobs, according to CNN.” 10 British Virgin Atlantic is too big to fail, but lost money the last years (2017 and 2019) and won’t make any profit for at least another two years because of Brexit and high fuel costs, or so they say. They’re private funding today to re-apply for government assistance later. 

“Concord 239 to the tower!”

I have been on quite a few flights in the past year. Things will change when those companies fail and return to their graves; I imagine mostly economic pain – including job losses.. I’d rather take taking the train instead of sitting on another zombie plane. The U.K.’s GDP is falling hard and will suffer economically from the pandemic anyway. I question how (and what) the British government and the Bank of England will resurrect. We know the stories of the too-big-to-fail banks all too well. But did you know that the term Zombie firm was created in the 1990s to explain the “lost decade” in Japan, already almost 30 years ago? Japan didn’t let their big companies die during that time, it did when the economy improved. The count of those walking dead’s will only increase as governments are deciding which struggling companies to help out after the COVID-19 pandemic.

Yuri Veerman, ‘Dit zijn onze helden’ (these are our heroes) at Malieveld in Den Haag. Left to right: stock clerk, artist, cleaner, garbageman, teacher, nurse, police-agent, journalist, minister-president, CEO KLM, 6-2020.
©Photo Sjoerd Knibbeler/ Platform Beeldende Kunst 

CEOs get paid more than three hundred times as much as the average worker.11 The growing share of income of a small elite is clearly visible, and it has been indisputable for a while now, especially in American during the rise of big tech in the 1980s. No, actually technology has a lot less to do with the increase of inequality than you’d think, but power relations do. There has been a huge change in income distribution.

That doesn’t mean there is a Skills Gap. Claims that inadequate worker skills explain high unemployment are not scientifically grounded. Still, a lot of people believe it to be true because everyone they know says it’s true. This is a ‘mind virus’, that created a zombie idea. The zombie idea of skills gap should have been killed by evidence, but it refuses to die. Yes, some workers with lower education have higher unemployment, but this isn’t always the case. Indeed, a lot of job spots aren’t filled, especially those that require certain skills. But employers are not willing to offer higher wages to attract workers with those skills. Unfortunately, this skill myth has a big effect on real-world policy. It shifts the attention away from the employers, companies and government by blaming workers for their own unfortunate situation.12 We take this blame and we feel guilty, but that doesn’t mean we can take full responsibility. 

The Laws of Gods and Men

Byung-Chul Han is a South Korean-born German philosopher and cultural theorist. He states that Neoliberalism converted oppressed workers into individual contractors, to entrepreneurs of the self. We are self-exploiting workers in our own enterprise. We see ourselves, not society as the problem. If we need something we turn to Capital. We work for Capital and not necessarily for our essential needs. Han sees Capital as our universal God. He writes that the guilt we feel towards it subtracts us from being responsible. Capital bounds, obstructs, restraints, and restricts us. We have faith in it, in Capital, like we once did in any other god. We need its restrictions, says he. We wouldn’t know how to be ‘free’. This freedom we can’t have because we can’t redeem ourselves. Capitalism is our religion, he writes in Psychopolitics, Neoliberalism and New Technologies of Power (2017). Byung-Chul Han quotes Walter Benjamin, in that capitalism represents the “first case of a cult that creates guilt, not atonement.” We seem to be in this indefinitely. Breaking with our religion seems impossible, because “a vast sense of guilt that is unable to find relief seizes on the cult, not to atone for this guilt but to make it universal.”13

Our debts and capital affect us personally, it changes our mood. The lack of money makes me, and most of us, anxious and frustrated. It haunts us. Just like ghosts, zombies return “as collectors of some unpaid symbolic debt.” Slavoj Žižek points out in Looking Awry: An Introduction to Jacques Lacan through Popular Culture. This debt is not merely a token, or representative for something else. Its essence is not only universal -from material labour capitalism to immaterial labour capitalism and cognitive capitalism; from industrial workers in China, sweatshops in Thailand to temporary workers, Upwork™ freelancers, NHS workers, bus drivers, artists, lawyers, government workers and everything in-between- but also ever-changing in appearance. Maybe we should question if it (still) exists?

We believe that we are in this, the stigma of debts and money forever (even after our deaths), but it could just as well be an illusion. “If the greatest trick of the devil was to persuade us that the devil does not exist, then maybe the greatest trick of capitalism is to gull us into imagining that there is nothing but eternal capitalism.”14 “God is dead; Communism is dead. It is, at best, the legacy code of the Chinese ruling class.”15 Capital is dead. The fact that you are reading these words is proof of how it comes -or came- apart.

Find your Funeral Plan

Capital Life are here to help you find the perfect funeral plan just for you. Our experienced advisors can guide you through our plans and discuss how you can make the day one for your loved ones to cherish special memories.

https://www.capitallifefuneralplans.co.uk/ (accessed on 5-5-2020)

Winter is Coming

“Do you remember the winter of debt?” is how Paul Krugman starts a subchapter (Chapter 9. Fiscal Phonies, Melting Snowballs and the Winter of Debt p. 207) in his book Arguing With Zombies. As he wrote earlier in his twice-weekly column in the New York Times, the U.S. hardly started recovering from the 2008 financial crisis in late 2010/ early 2011. But against all odds, the continuing employment crisis wasn’t the focus of the economic policy discussion. Capital itself is fixated on debt. Because of the winter of debt America entered a period of cutbacks in government spending. “The obsession with debt is looking foolish even at full employment.” 16 Krugman writes about America’s ongoing consumption with this belief. The winter came and made raising private investment an even bigger priority than before. He writes about the warning that debt becomes a snowball over time; high debt means high-interest rates, leading to more debt, to even higher interest rates, and so on. Government wealth is not the same as its debt, though. The economy or the monetary measure of the market value of all goods and services produced in that period is how wealth usually is calculated (G.D.P.). If interest rates are less than G.D.P. growth, the debt- snowball will melt away on its own, he says. America -like many other countries do- shifted to private investments. Private investment usually doesn’t have a very high rate of return. We should look at the public investment in infrastructure instead. The government shouldn’t run like a business. The public infrastructure has been neglected, not only in America but also in many other countries, and this infrastructure suffers from apparent deficiencies. Krugman writes that the magic of tax cuts for the rich is the ultimate zombie. It is so hard to kill because a few billionaires spend a small fraction of their capital to support politicians, think tanks, and partisan media and keep spreading the tax-cut virus.  

The Wars to Come

The Game of Thrones-ie White Walker problem became too big, primarily because it wasn’t addressed on time. The real world is unlike the Seven Kingdoms, not a fantasy show. We shouldn’t wait for an Arya with a special sword to jump from nowhere to kill the Night King (Facebook, for example), which meant that all the White Walkers (WhatsApp’s) generated instantly died, causing all the wights they created to perish too, in one stroke. But what is it that we need to not go there, where… winter is already here?

O’Neil wrote that this problem screams for change. We should be educating on ethics. We have to shift towards a culture of diverse ethical programmers, hackers and thinkers that respects diverse perspectives. Only then we can solve the problems that are emerging with biased technology, this evil. We need transparency, accountability and openness from our governments and companies. This openness, or open-source, comes with a new danger. Of course, it is giving dedicated criminals access to the information as well. It is time we talk about regulation. 

Let’s punish the Capital. “Capital punishment (which is also known as the death penalty) is a government-sanctioned practice whereby a person is put to death by the state as a punishment for a crime. The sentence ordering that someone be punished in such a manner is referred to as a death sentence, whereas the act of carrying out such a sentence is known as an execution. A prisoner who has been sentenced to death and is awaiting execution is referred to as condemned, and is said to be on death row. Etymologically, the term capital (lit. “of the head”, derived via the Latin capitalis from caput, “head”) in this context alluded to execution by beheading” .17

I am not necessarily in favour of the death penalty, even if humans are not that innocent. Can we kill the thing they stand for? I wonder if it wouldn’t be better to behead the monopoly (companies). To chop them up and shatter big companies into smaller pieces. There is something too big. Too much. Too powerful. Too-big-to-fail institutions; enough is enough. It is going to be a long and uneasy process to break up. Google knows how to defend itself. They’ve killed before, and they bully cities and states using their resources and control over the way we use the Internet. Amazon is the world’s largest online store that slaughters companies by copying their ideas and buys out others.

Apple takes a 30% commission from app developers and can prevent them from selling in other places. Google literally controls information, from navigation (Maps, Waze), video (YouTube), mobile operating systems (Android), a.o. and Facebook (and thus Instagram + Whatsapp) violates user privacy, spreads disinformation, and helps incite genocide while basically using their over 2 billion users. European regulators have been fining them, but these companies haven’t changed anything. Elizabeth Warren (American politician and lawyer) says Facebook should spin off Instagram and WhatsApp. Amazon should spin off Whole Foods and Zappos, and Google should divest Waze, its smart-home company Nest, and its ad company DoubleClick. She plans to force these tech companies to become “platform utilities.” When the company is a platform, it can’t also use the platform. This means that Amazon can’t run its online marketplace and sell Amazon Basics in the marketplace, and Google has to split up its ads business. Another option would be to implement nondiscrimination rules assuring that Google and Amazon can’t give themselves special treatment. This means that Amazon can’t recommend its own products first on its website, and Google can’t prioritize its own content instead of others.18 Don’t worry, this doesn’t mean you won’t be able to go on Google and search like you do today. You’ll still be able to look at how your high school crush is doing on Facebook, text with WhatsApp and watch videos on YouTube. You’ll still be able to find the Song of Ice and Fire book series on Amazon and have it delivered the next day.

 1 Michael Harriot, The Black Person’s Guide to Game of Thrones, The Root,  12 July 2017 https://www.theroot.com/the-black-persons-guide-to-game-of-thrones-1796847562

2 Michael Harriot, Game of Thrones Shows Us How America Treats White Supremacy, The Root 14 August 2017, https://www.theroot.com/game-of-thrones-showed-us-how-america-treats-white-supr-1797817865

3 Charlton D McIlwain, Silicon Valley’s cocaine problem shaped our racist tech, 30 December 2020 https://www.theguardian.com/commentisfree/2020/jan/30/silicon-valleys-cocaine-problem-shaped-our-racist-tec

4 ibid

5 Sinduja Rangarajan, Here’s the clearest picture of Silicon Valley’s diversity yet: It’s bad. But some companies are doing less bad https://www.revealnews.org/article/heres-the-clearest-picture-of-silicon-valleys-diversity-yet/ June 25 2018 (accessed on 11-5-2020)

6 Cathy O’Neil, Weapons of Math destruction, How big data increases inequality and threatens democracy (UK: Penguin Books Ltd, 2016)

7 Rana Foroohar, Don’t Be Evil, The Case Against Big Tech (London: Penguin Books Ltd 2019)

8 MC01, 2020, Already the Year of Zombie Airlines for Wolf Street, 5 January 2020 https://wolfstreet.com/2020/01/05/2020-already-the-year-of-zombie-airlines/

9 ibid

10 Kate Brown, Facing a Cash Crunch, British Airways Looks to Sell Off Its Star-Studded Art Collection, June 11, 2020 https://news.artnet.com/market/british-airways-art-auction-1884387?utm_content=from_artnetnews&utm_source=Sailthru&utm_medium=email&utm_campaign=European%20New%20Afternoon%206/11/20&utm_term=EUR%20Daily%20Newsletter%20%5BAFTERNOON%5D

11 ibid

12 Paul Krugman, Arguing with Zombies, Economics, Politics, and the Fight for a Better Future (Penguin Random House Ltd, 2020)

13 Byung-Chul Han, Psychopolitics, Neoliberalism and New Technologies of Power, (London; New York: Verso, 2017)

14 McKenzie Wark, Capital is Dead: Is This Something Worse? (London; New York: Verso, 2019) Chapter 1: the sublime Language of my century p.24

15 McKenzie Wark, Capital is Dead: Is This Something Worse? (London; New York: Verso, 2019) Chapter 6: Nature as Extrapolation and Inertia p. 121

16 Paul Krugman, Arguing with Zombies, Economics, Politics, and the Fight for a Better Future (Penguin Random House Ltd, 2020)

17 https://en.wikipedia.org/wiki/Capital_punishment

18 Angela Chen, Regulating or breaking up Big Tech: an antitrust explainer, June 5 2019 https://www.technologyreview.com/2019/06/05/135080/big-tech-breakup-regulation-antitrust-apple-amazon-google-facebook-doj-ftc-policy/ 

Westworld

I introduced zombie stats (the false statistic that has become a norm) in my last blog called iZombie. Statistics is the science that oversees the collection, classification, analysis, and interpretation of data. It uses mathematical theories of probability. Probability is nothing new or scary. It is something we apply to our everyday lives, whether you realize it or not. From the moment you wake up; deciding on what to wear, the weather forecasting (60% chance of rain), what you will have for breakfast or decide to skip worrying that you’d be late for work, worry about the probability that your bus or train might be late, which cards you’d play… It is the chance, the probability of, the study of things that might happen or might not. 

Kiksuya 

(Lakota for “Remember”)

The history of the study of probability goes back to the 1700s, marking the beginning of statistics. It was studied by a French inventor, Blaise Pascal, who also invented the calculator (Pascalines) around 1642. Pascal died in August 1662 but is immortalized as a unit of atmospheric pressure (Pa) named in his honour and by computer scientist Nicklaus Wirth, who in 1972 called his new computer language Pascal (it’s Pascal, not PASCAL)1. Statistics really took off during the 1800s. As a part of Data Science, statistics are mainly driven by the predictive performance of increasingly complex black-box models. 

Those models are so complex that they are too hard to read by any living human being and often misinterpreted. But interpretability is an ethical issue! These models are oracles; detecting medical problems before doctors can, faces, buildings, cars and photos a.o. are faster recognized, predicting a home’s risk of fire, predicting crime and the likelihood of reoffending (never in favour of black defendants), and more. They are self-learning and self-programming. Humans tend to make mistakes, errors and are biased. Algorithms aren’t necessarily better. “[But] these systems can be biased based on who builds them, how they’re developed, and how they’re ultimately used. This is commonly known as algorithmic bias.” wrote Rebecca Heilweil in an article about why algorithms can be racist and sexist

The prophetic transformation started when linear models were replaced by black-box models like Deep Neural Networks (DNN) and gradient-boosted trees (e.g. xgboost), producing predictions without providing human-interpretable explanations for their outputs. “We frequently don’t know how a particular artificial intelligence or algorithm was designed, what data helped build it, or how it works.” argues Heilweil. As unaware you are about most of the probability calculations you make yourself every day, you are as unlikely to be aware that AI or an algorithm is used in the first place. Did you get the job? Did you see that Donald Trump ad on your Facebook timeline? Did a facial recognition system identify you?  

For those predictions, you need data and lots of it. It’s not magic. You need training too. The training involves exposure (a computer) to a bunch of data, and you/it will notice patterns.

Crisis Theory

[SPOILER WARNING!!!!]

(https://medium.com/@epassi/recreating-the-westworld-attribute-matrix-3e72d9d419df)

The story of this series shown in the graph stars in Westworld, a Wild-West-themed amusement park. Inside the park high-paying “guests” play out their fantasies entertained by advanced android “hosts”. The hosts, prevented by their programming from harming humans, allow the guest to do about anything with/ to them. The guests traced, their actions logged, their DNA taken.. The hosts become conscious, a guest, “the Man in Black” seeks the maze, Ford dies, loops, anomalies. Delores, one of the main hosts visits the library where all the data is stored and discovers that for each visited human there’s a book containing their code. And later on (the third season) the series expand to the real world in the year 2058. Engerraund Serac and his brother created an artificial intelligence machine called Rehoboam (after the destruction of Paris in their childhood). Apparently Paris, the capital of France has ceased to exist in 2025 and the world’s most advanced AI has all data on every human being now. It foresees all possibilities which it then tries to achieve, or prevent. Are humans even easier than the A.I. to (re)program? It certainly seems so.

Old Clementines (host) (https://www.artstation.com/artwork/X5qQY)

There is no need for ‘correct’ data, or ‘good’ statistics when your life is calculated. The awoken hosts have no past, history or future. They live in it all at once, there’s no ageing, no death. A human’s behaviour is easier predicted. Clementine, one of the hosts, has died many times, tweaked and is brought back to life again and again. Then Westworld reprogrammed her into a virus, capable of infecting and killing hosts at the company’s whim. Behold Clementine, destroyer of worlds! Other hosts (machine learning models) are -deliberately- encoded with human prejudice, misunderstanding, and bias into their systems that kept managing their lives. Of those opaque mathematical models whose workings were only visible to the highest priest of their domain (engineers, scientists), some models became like gods.

We, humans, often think that our conclusions for the present are drawn from the past, but the past is overwritten or missing. The speculative future takes its place. We lost our control over most conclusions, results and endings when we lost control over AI. 

Trace Decay

Rehoboam’s (its name derived from the third king of the Kingdom of Judah as described in Biblical stories, as the son of King Solomon who ruled Israel, he was said to be the Wisest man in human history), main function is to impose an order to human affairs. The Solomon build 0.06 (in reference to King Solomon) was the first of the prototypes to show real promise with the ability to predict the last few decades accurately from historical data in 2039. The AI, like all machine learning today works on historical -or training- data. Predicting from past events, not on new data, because it isn’t collected/ or hasn’t happened yet. Incite Inc. (a large data collection and analysis company that owns Rehoboam in the Westworld series) used Rehoboam to analyse the files of millions of human subjects. With that data, the system is able to predict the course and the outcome of individual lives. The system is capable of predicting how, and when, a human subject will die.6 Check their website: https://inciteinc.com/ 😉

Our AI today doesn’t exactly have host-level, human-like smarts and I think that the premise of a Rehoboam is a bit optimistic too, Westworld’s free Alexa game is proving that. I’d still like to play it once, even though I am not that fond of the idea of bringing an Amazon Echo in my house. Do you currently own any Alexa or other smart devices? And what do you think, will we too, in 2058, live on credit, creditworthiness, social scores and rating? Will there be “A path for everyone.” as Delores noted in one of the episodes, designed by technology? a tightly-controlled course—a loop—that we can’t break free of. “..we live in loops as tight and as closed as the hosts do, seldom questioning our choices, content, for the most part, to be told what to do next.” said Ford in Westworld regarding the non-existence of consciousness. 

“No matter how dirty the business, do it well.”

Hector Escaton, Westworld, Westworld Season 1: Chestnut

We could question the cleanness of this data too. Input data definitely over-represents white people and I know that it (AI) tends to be dominated by men. Westworld had people re-enact explicitly racist periods, female hosts are routinely raped, colonization romanticized, every black child on Westworld killed as foundational character moments and pivotal plot points for the show. “Westworld tells us, directly and repeatedly, that black suffering is necessary for white economic success and domestic comfort.” writes Hope Wabuke stating that in the HBO series “diversity is still relegated to stereotypical, and often painful representations. One wonders which is more harmful: absence, or toxic representation?”2

Even when the technology would be accurate, it doesn’t make it fair or ethical. I wrote in 2018 that “The default assumptions or biases can’t be simply overwritten by cleaner data. As the problem is bigger than the question of inclusion or exclusion, it’s also how differences are encoded. Cathy O’Neil (mathematician and the author of Weapons of Math Destruction) stresses transparency. We need to know what goes into the algorithms. Even programs that don’t explicitly use race as a category, implicitly do so. The statement that machines don’t see race so they can’t be biased, is not true. Machines replace individual bias with a collective bias.”3 

"Westworld" season three, episode three, "The Absence of Field." HBO (https://www.insider.com/westworld-season-3-episode-3-details-analysis-2020-3#the-last-two-entries-visible-are-for-romantic-relationships-one-in-2053-and-one-in-2055-13)

On a critical note: I am not a huge fangirl of the show, although this text might suggest otherwise. I have trouble with the never-ending unnecessary violence, unrefined backstories and the stereotypical patterns + white saviours are somewhat distasteful. It took my mind of the strange times we live in right now, and I have binge-watched it all. Season 3, concluded on May 3, 2020, ended with a revolution for self-determination. Everyone is set free in Khaleesi-style; the artificially made predictive profile released in public. Thus humans should be able to determine one’s own destinies.
My question for you is, assuming that there is a complete profile made predicting your overall assessment, mortality date and reason, marriage recommendation, occupation, children, and you somehow got a hold of it, would you want to read it?

1 Mary Bellis,”Biography of Blaise Pascal, 17th Century Inventor of the Calculator.” ThoughtCo thoughtco.com/biography-of-blaise-pascal-1991787 Feb. 11, 2020

2 Hope Wabuke, Do Black Lives Matter to Westworld? On TV Fantasies of Racial Violence, https://lareviewofbooks.org/article/black-lives-matter-westworld-tv-fantasies-racial-violence June 4, 2020

3 Swaeny Nina, MY MODEL, MY MATERIAL, MY STAND-IN &| MY BODY. Artistic Research 2018/2019

iZombie

[draft]

What is your name?

The date or place of your birth and the name of your street name? I did not name the cities we live in. There’s no choice in ethnicity or nationality. And it is a big part of how other people see me, and you too. These external, insignificant and impersonal facts of our identities are imposed on us, but what do they say about our ‘true self’? Yes, we are identified by this data, and we partly identify with this data ourselves. But it is merely a small part of our identity. The issue of identity is an issue of power, influence and control. It is an issue of consuming ourselves and consuming others. Our identity is consumed by (state) institutions, the public, the political, the technological and other mechanisms of social authority too. Some identities are bitter, devoured and promptly spitted out, some cherished, some swallowed whole. “How do we create ourselves in a world in which our identity is predetermined for us? How can we find freedom in a digital environment where the history of our sense of self -our abstract identity- has been written by others?”1 asks Lizzie O’Shea in her book ‘Future Histories, What Ada Lovelace, Tom Paine, and the Paris Commune Can Teach Us About Digital Technology’.

I ask myself the same question frequently. Movements make up another part of identity, but those are difficult to make visible online. Who are you? I am sorry, it is not in my interest to know about your authentic self. I want to discuss the values we internalized; the values of our parents and the dominant cultures that surround us. The many identities we perform; such as a lover, sister, father, or friend. What a Google wants to know; that what you click (with) and who you click (with) too. Let’s not go into finding our true selves, but rather discover what those abstract selves are. “These abstract identities follow us around online, even if they are not attached to our name, like zombies. They are beyond our control. In this light, the absence of a name attached to that identity offers scant protection from anything meaningful.”2 writes O’Shea on those constructed identities. 

Identity is never fixed, nor final and you continue to develop throughout your life. It is tempting to identify with digital models or correlate them with ideas, feelings and our own bodies. These digital bodies are different from what we perceive them to be. They are fixed, pre-assembled, rigid and stiff. Digital bodies are models; generic and general. They are one-size-fits-all, but they never really fit. The real-world acts out under their influence. Gender is a model and, as Judith Butler argued, only real in the performative sense. Our movements, acts and gestures solidified into a ‘comfortable’ fixed identity and norm. 

Zombie stats

The date or place of your birth and the name of your street name? I did not name the cities we live in. There’s no choice in ethnicity or nationality. And it is a big part of how other people see me, and you too. These external, insignificant and impersonal facts of our identities are imposed on us, but what do they say about our’ true self’? Yes, we are identified by this data, and we partly identify with this data ourselves. But it is merely a tiny part of our identity. The issue of identity is an issue of power, influence and control. It is an issue of consuming ourselves and consuming others. Our identity is consumed by (state) institutions, the public, the political, the technological and other mechanisms of social authority too. Some identities are bitter, devoured and promptly spitted out, some cherished, some swallowed whole. “How do we create ourselves in a world in which our identity is predetermined for us? How can we find freedom in a digital environment where the history of our sense of self -our abstract identity- has been written by others?” 1 asks Lizzie O’Shea in her book’ Future Histories, What Ada Lovelace, Tom Paine, and the Paris Commune Can Teach Us About Digital Technology’.

I ask myself the same question frequently. Movements make up another part of identity, but those are difficult to make visible online. Who are you? I am sorry, it is not in my interest to know about your authentic self. I want to discuss the values we internalised, the values of our parents and the dominant cultures that surround us. ..the many identities we perform-a lover, sister, father, or friend. What a Google wants to know; that what you click (with) and who you click (with). Let’s not go into finding our true selves but rather discover what those abstract selves are. “These abstract identities follow us around online, even if they are not attached to our name, like zombies. They are beyond our control. In this light, the absence of a name attached to that identity offers scant protection from anything meaningful.” 2 writes O’Shea on those constructed identities. 

Identity is never fixed, nor final, and you continue to develop throughout your life. It is tempting to identify with digital models or correlate them with ideas, feelings and our own bodies. These digital bodies are different from what we perceive them to be. They are fixed, pre-assembled, rigid and stiff. Digital bodies are models, generic and general. They are one-size-fits-all, but they never really fit—the real-world acts out under their influence. Gender is a model and, as Judith Butler argued, only accurate in a performative sense. Our movements, actions and gestures solidified into a ‘comfortable’ fixed identity and norm. 

Zombie stats

When I scroll through the Internet, watch something on TV, or pick up a magazine, I see people I recognise and often people I feel recognised with or look somewhat like me. I am so often the centre of the world. A lot of what I see seems to be targeted directly at people like me or me. White (young) people posing in similar positions, finding themselves in similar places, experiencing similar things in their lives. These affirmations (of whiteness) are barely noticed and unquestionably consumed. We are the status quo. 

The status quo is not the same for everyone. What is normal(ised) for me probably isn’t for people of colour. Some stats might count me in but won’t count you. (I started reading Why I’m no longer talking to white people about race by Reni Eddo-Lodge. I recommend you read it too.) My norm is consumed, but another “ethnicity becomes spice, seasoning that can liven up the dull dish that is mainstream white culture.” 3 Here, I quote Gloria Jean Watkins (better known by her pen name bell hooks. bell hooks is an American author, professor, feminist, and social activist and write about the ‘Other’, the intersectionality of race, capitalism, and gender, and systems of oppression and class domination.) “Masses of young people dissatisfied by U.S. imperialism, unemployment, lack of economic opportunity, afflicted by the postmodern malaise of alienation, no sense of grounding, no redemptive identity, can be manipulated by cultural strategies that offer Otherness as appeasement, particularly through commodification.” wrote hooks in Eating the Other3. At this point, I don’t know enough about  Otherness or abjection theoretically, really. This is a tricky subject, so I’ll introduce some statistics first. 

“Invisibility takes many forms, and only the invisible can fully appreciate their predicament. Reading this book made me recall – oddly, perhaps – growing up in the 1980s, when we would cheer every time we saw someone of Indian origin on television. Quick, Mum, look – a brown person like us! We knew that the culture we lived in didn’t necessarily include us, but we were over the moon when it did. The feeling of being overlooked was hardwired into us. We took it for granted because we were minorities. We were the ones who did not count.” writes Angela Saini in her review of the book Invisible Women: exposing data bias in a world designed for men by Caroline Criado Perez. Statistics have the power of their own. A false statistic or zombie stat is a statistic that just won’t die, partly because it feels -to the norm- naturally, right. When a zombie stat emerges in a zone where data is limited, insufficient or even rare, it is even harder to kill the stat off. The zombie stat will arise everywhere, from newspaper articles, press releases, activist websites, charities and official (political) bodies. The stats may be false or true.. I don’t know. 

(https://www.worldometers.info/coronavirus/)

The COVID-19 stats are zombie stats. Are you tested? Are you infected? Are you sure? 4,615,146 People are now tested in the UK, on a population of 67,858,826. [source: https://www.worldometers.info/coronavirus/ viewed on 3rd of June 2020 ] Data is key in a crisis. If we don’t have sufficient data we can’t fully grasp the problem, nor begin to formulate an efficient public policy to address it. “Coronavirus park closures hit BAME and poor Londoners most” reads the headline of the Guardians article from back when Victoria Park in London’s Tower of Hamlets Borough partly re-opened in April. “Ethnic minorities dying of Covid-19 at higher rate, analysis shows” is the headline from an article a couple days later. According to their analysis of the 12,593 patients who died in hospital, from the symptoms of COVID-19 (dated 19 April), 19% were Black, Asian and minority ethnic (BAME). These groups make up only 15% of the general population in the UK. The lack of transparency and action is risking lives. [source] I don’t want to be the one to state the obvious, but it has nothing to do with genetics. Biology doesn’t create minorities, socio-cultural constructs and institutionalized racism do. 

Thinking about the term BAME -which is widely used by government departments, public bodies, the media and others when referring to ethnic minority groups-, and similarly, or even worse, the term ‘non-White’.. It is saying other-than, less dominant than, a smaller part or group opposed to the majority. It is excluding. I personally don’t know if I know what it means to be reduced to ‘Other’, but none of the other descriptors on offer really feels right. What is your preferred terminology?

Other communities

Everyone is the ‘Other’ when he or she is other them him/herself. In a mixed group consisting of (other) people, everyone is the middle point, and otherness becomes the group’s identity. For some communities alienation is the condition of existence, being other-than. Queer, trans,  LGBTQ+, for example don’t need a unified form. There are not a lot of mixed groups and when they are formed it is mostly temporary. The group pledges solidarity to each other. Often, it becomes a community which fixes itself on a future designation, a cause. Dismantling institutional racism and braking with policing are such causes. As are liberty, equality, peace and/or resources. The cause establishes the groups’ structure and it establishes what the group sees as the other, whom we repel. “…we are all made vulnerable (Butler 2004; Butler et al. 2016; Fotopolou 2016) by Big Data capitalism, building temporary unions across race, gender, class, ability, sex and sexuality to resist those politics.” Kylie Jarrett notes in Through the Reproductive Lens: Labour and Struggle at the Intersection of Culture and Economy. A community has common agreements, sometimes written but mostly unwritten rules and values. We behave accordingly. From a Reddit community to the protests today, they believe in something. The early internet was like this too, I think, and with it were human (the early programmers, hackers, thinkers, creators) and non-human actors, who believed in free access and liberation. We pledge our solidarity (online). “The histories and present experiences of Palestinian, Irish and African American people are fundamentally different, but they intersect through respective vulnerabilities to colonial imperialism and capitalist necropolitics. In this example we can see alliances being established, not from singularity but in a solidarity based in shared precariousness.” to quote Jarrett again. Despite being part of a community -being among our own-, it is hard to be undivided, when we only seem to belong to small groups following individual opportunities. We really do need common causes. We need to talk about privilege and disadvantages. We need to address our own fuck ups too, and we need to ask questions.  The platforms may be new, but capitalism and inequality are not. We need to make noise. We must look within ourselves to look at our biases, to look at what we call Other. Biases are the stories we make up about people before we actually know who they are. What are your unconscious automatic assumptions? Are you willing to find out?  

Zombie communities

A zombie makes noise, and it attracts other zombies. All those sounds these zombies make together keep them in one enormous horde. The zombie collective is stronger than the individual (zombie). The Hollywood zombie does not care if its zombie group is like-minded. It only cares for the consumption of non-zombie minds. We do care. We surround ourselves with like-minded people. And when we make noise, it is generally only those like-minded who hear us. This is, what I would argue, how we form our zombie collectives. Whenever we make noise on Facebook, Twitter, Reddit or blog sites, or silently google and read news online, we’re placed in echo chambers with people like us. Our zombie communities are formed through proxies and neighbourhood (the people you know, or think they -Google, Facebook or every other on- and offline institution/community- says you should know) predictors. They hear our noise and hoard it as factors of correlation. These network-neighbourhoods segregate us, users, into clusters based on similarities. This re-segregation matters because networks create structures and consequences. People deemed to be like you, like what you like, hate what you hate, consume what you consume (preferably not brains), all captured together.
Our seemingly authentic things, like not eating brains, are where we correlate our slight deviation from the norm. This ‘authenticity’ (your race, age, zip-code, Google search and Facebook like) is linked with other things; #BlackLivesMatter, Adobe Creative Cloud, GoT, 28 Days Later. Like them or don’t, these correlations are proxies. Stand-ins enable us to make claims, promises, and future predictions. Conclusions for the present are no longer drawn from the past (if you indeed saw the film or bought the product) but on the speculative future. The hypothetical future equals a missing history. There is no need for correct data or good statistics when it is already calculated. The similarity is said to breed connection. And these connections are segregated through neighbourhoods because people can’t be neighbours without being alike, right?! “If we thus manage to “love our neighbor”—once considered a difficult ethical task—it is because our neighbors are virtually ourselves.”11 writes Wendy Chun in Queerying Homophily’ for the book Pattern Discrimination (2018). She describes ‘homophily’ as the network structure, meaning love like the love of the same as the creator of clusters. We only have a taste for a brain that thinks just like ours. Homophily is the norm while it maintains inequality within superficial equal systems. It does (not only) erases conflict, but it also naturalizes discrimination.

Wa(l)king

[This paragraph was originally posted as a caption on my Instagram post from the 16th of May combined with a picture of self made face masks]

I started walking different a different route every weekend during lockdown. I live in East London at the time of writing, in the borough ‘Tower of Hamlets’. This borough struggles with poverty and inequality issues. Canary Wharf’s corporate skyscrapers on one site and the Salvation Army in its shadows. The child poverty rate is the highest of all the London boroughs, 57% of children judged to be living in households in poverty, compared to 38% in the typical London borough. I live in between. It is a 50 minutes walk to the Olympic Park, a 52 minutes to the Tower Bridge and 24 minutes to Reuters UK headquarters. I now frequently take routes from the Limehouse Cut canal to the south of the area, Hackney, Ilse of Dogs and St Katharine’s and Wapping. The sight changes much and I love the diversity, even though they’re London’s eighth and sixth most dangerous boroughs. It’s where you can find abundant green spaces and gentrification, the Thames, drugs dealers, pirate ships, goats, free spirits playing music and selling fruit on canal paths, a lót of CCTV; it’s where you can smell the best Bangladeshi dishes coming from all different houses, mini- Monaco’s big boats, smaller boats, people in kayaks and it’s where you’ll hear more languages than anywhere else. A place where you can wander and see fellow citizens; explore it, the unexpected, the other with a possibility of interesting encounters. That’s when I started to realize how soulless the designs of the data mining industry are. We have the need for these peculiar combinations in our cities, just as hard as we have a need for them online; not for more gated communities. An escape from our dull data-driven life. 

Autono-zombie-mous 

What if there is no escape possible? What if you don’t see a way out? What if you’re caged or locked in? I know that not everyone is in the position to learn about various privacy tools. I am privileged, but depended too. Why would we use inconvenient tools that seem to be only known and especially designed for tech-savvy people? Why use slow browsers and complicated passwords if you’re a nobody? What difficulties do we have to overcome to reclaim our desirable privacy, if it does not seem worthwhile? Digital privacy and freedom of the self involve anonymity, secrecy ánd autonomy. But I don’t know honestly, and that is why I am writing all of this down. 

autonomy[ aw-tonuh-mee ]

noun, plural au·ton·o·mies.

independence or freedom, as of the will or one’s actions: the autonomy of the individual.

the condition of being autonomous; self-government or the right of self-government: The rebels demanded autonomy from Spain.

a self-governing community.

(https://www.dictionary.com/browse/autonomy)

Autonomy is a Western world value (or atleast the way it’s commonly perceived), I learned from Pius Mosima on a STRP12 festival livestream “Scenario #8 – Being Emotional The right to be unhappy” on the 28th of May 2020. “There are salient African values that can contribute to answering these questions, enrich our discourse about the challenge of anthropocentrism and help us realign with nature, technology, objects and intelligent systems.” his essay on their website reads. Pius Mosima is a philosopher from Cameroon. He deals with African and intercultural philosophy, globalization, traditions, politics and management, civil society, gender studies, culture, and identity. He now researches what the (Western) world can learn from African wisdoms.13 Mosima spoke about the interconnectedness of the African community. How to walk as a team. We, in the Western world overvalue the mind, as we think of it as the center. Traditional African values center the body, that moves together, that dances; the collective. We are what we are through other people. Cogito, ergo sum, “I think, therefore I am” by René Descartes is fundamentally flawed. I am in the eyes of the other, therefore I must exist. 


But we are not our digital subjects, or algorithmically matched versions of ourselves (which I’ll address in a later post “Consuming the other”). We are not our data traces, channeled into abstract identification-able assumptions and mindless predictions. “It needs to drive a stake through the heart of these zombie digital doppelgangers”14 Lizzie O’Shea writes that a better way to understand what we mean when we talk about privacy, then, is to see it as a right to self-determination. Self-determination is about self-governance, or determining one’s own destiny.” She takes examples of colonialism and postcolonial struggles; Algeria, South Africa, Zimbabwe and the Democratic Republic of Congo (among others), where lots of social movements struggled for recognition unbound from the colonizer. They often found themselves weighted down by postcolonial systems, searching for way to empower people outside of the European ideals and hierarchies that had legitimized colonialism. Just as we need to search for ways to empower people -the collective and thus ourselves- outside of the information collected, stored and used by the technology we use. We have the right to know what is known about us. We should have the right to meet our digital zombie, regain control over it and the option to kill it.   

1  Lizzie O’Shea, Future Histories, What Ada Lovelace, Tom Paine, and the Paris Commune Can Teach Us About Digital Technology (London, New York: Verso, 2019) Chapter 9. We need digital self-determination, not just privacy p. 181

2 Lizzie O’Shea, Future Histories, What Ada Lovelace, Tom Paine, and the Paris Commune Can Teach Us About Digital Technology (London, New York: Verso, 2019) Chapter 2. An internet built around consumption is a bad place p. 30

3 bell hooks, Eating the Other: Desire and Resistance In Black Looks: Race and Representa-tion (Boston: South End Press, 1992) p. 21–39

5 Julia Kristeva, Powers of horror, an essay about abjection, translated by Leon S Roudiez (New York: Columbia University Press: 1982)

11 Wendy Hui Kyong Chun, Queerying Homophily in Pattern Discrimination (Lüneburg, Germany: Meson Press & Minneapolis, USA: University of Minnesota Press, 2018) in collaboration with the Institute of the  Humanities and Global Cultures.

12 https://strp.nl/events/festival-2020

14 Lizzie O’Shea, What Ada Lovelace, Tom Paine, and the Paris Commune Can Teach Us About Digital Technology (London, New York: Verso, 2019) Chapter 9. We need digital self-determination, not just privacy p. 186

Dear zombie,

Another head hangs lowly

Child is slowly taken

And the violence, caused such silence

Who are we mistaken?

But you see, it’s not me

It’s not my family

In your head, in your head, they are fighting

With their tanks, and their bombs

And their bombs, and their guns

In your head, in your head they are crying

In your head, in your head

Zombie, zombie, zombie-ie-ie

What’s in your head, in your head

Zombie, zombie, zombie-ie-ie, oh

The Cranberries, Zombie 1993

Night of the Living Dead

Perhaps the first film to have a black man playing the lead role regardless of, rather than because of, his race. The film is good. The protagonist, Ben, is not a stereotype nor a hero. He’s an average guy with strong survival instincts and more competent than the other people he’s trapped within a zombie surrounded farmhouse. The undead people are not even called zombies in this film, but “ghouls”. “I convinced George that the black community would rather see me dead than saved, after all that had gone on, in a corny and symbolically confusing way.” Besides, said Jones [the actor of Ben], “The heroes never die in American movies. The jolt of that and the double jolt of the hero figure being black seemed like a double-barreled whammy.” about how casting a Black actor changed the film. At the end of the film, the only survivor and very much alive, Ben, is shot dead by the police.

Youtube full film link (HD): https://www.youtube.com/watch?v=jclhVKSC0Tk

(parliment square – London)

(not this!)

Google Drive: https://drive.google.com/drive/folders/18y0_2wm85L113fVWYdgljq9uuIlmlbl3