*thispersondoesnotexist.com RATIO

MISSION STATEMENT In this zine lies the future, the past and everything inbetween We hope to take the reader on a journey about the story of earth, humankind and machines A scenario that is often brushed off as “conspiracy theory”, a future where artificial intelligence has reached a point of singularity Where Artificial Intelligence has surpassed our own human intelligence Where technological growth becomes uncontrollable and irreversible Where Artificial Intelligence has no need for human intelligence We will explore these topics through speculative design, similar to our project d00ms.dAI, to remind people not to turn a blind eye to the possibilities As humans are easily fooled by progress Easily manipulated due to our lazines Our eyes fixed on admiring these dazzling and dizzying, awe-inspiring and mind-numbing systems We hope that this zine will keep it’s speculative nature and not become an archive of the future 2

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CONTENTS Greeks Physical symbol system Page 6 Page 10 - 11 Eliza Page 20 4

Tesla Bot Metaverse Page 25 Page 30 - 31 *id=”Elon_Musk” Amazon Prime Page 28 - 29 5

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EGYPTIANS 900 BC An automaton is a relatively self-operating machine, designed to automatically follow a sequence of operations, or respond to predetermined instructions. In ancient Egyptian legends, statues of divinities, mostly made of stone, metal or wood, were animated and played a key role in religious ceremonies. Ancient Egyptians would frequently consult these staues for advice. The statues would then reply with a movement of the head. Realistic humanoid automata were built by craftsman from every civilization, including Yan Shi Hero of Alexandria Al-Jazari, Pierre Jauet-Droz and Wolfgang van Kempelen. The oldest known automata were the sacred statues of acient Egypt and Greece. The faithful believed that craftsman had imbued these fi gures with very real minds, capable of wisdom and emotion— Hermes Trismegistus wrote that “by discovering the true nature of the gods, man has been able to reproduce it.’’ You could say automatons were early ancestors of AI we know today. 7

400 BC GREEKS The Greek also had automatons, for different and the same purposes. In Greek Mythology, Talos was a giant constructed of bronze who acted as guardian for the island of Crete. He would throw boulders at the ships of invaders, and would complete 3 circuits around the island’s perimeter daily. According to pseudo-Apollodorus’ Bibliotheke, Hephaestus forged Talos with the aid of a cyclops and presented the automaton as a gift to Minos. In the Argonautica, Jason and the Argonauts defeated him by way of a single plug near his foot which, once removed, allowed the vital ichor to fl ow out from his body and left him inanimate. In other words, Talos was an early version of what we call a robot today. His sole purpose was to protect the inhabitants of Crete and to be a source of support for these people. 8

400 BC Artifi cial intelligence is based on the assumption that the process of human thought can be mechanized. The study of mechanical—or “formal”— reasoning has a long history. Chinese, Indian and Greek philosophers all developed structured methods of formal deduction in the fi rst millennium BCE. They were researching a way to turn thoughts and emotions into data. After some years, the Chinese philosophers were the fi rst to develop methods of formal deduction. These methods of formal deduction later became a key element in artifi cial intelligence Sometime around 1023 to 957 BC, Yan Shi presented a marvelous invention before the fi fth king of the Chinese Zhou Dynasty, King Mu. Yen Shi had created a life-sized automaton which was able to move and preform several impressive functions. The automation could move in a like-like manner and could sing. This automaton had a full set of organs and when removing one of the organs, a function would be gone. For example, when taking away the heart, the doll could no longer speak.. CHINA 9

1300 RAMON LLULL Spanish philosopher Ramon Llull developed several logical machines devoted to the production of knowledge by logical means. Llull described his machines as mechanical entities that could combine basic and undeniable truths by simple logical operations, produced by the machine by mechanical meanings, in such ways as to produce all the possible knowledge. Llull also invented numerous ‘machines’ for the purpose. One method is now called the Lullian Circle, each of which consisted of two or more paper discs inscribed with alphabetical letters or symbols that referred to lists of attributes. The discs could be rotated individually to generate a large number of combinations of ideas. A number of terms, or symbols relating to those terms, were laid around the full circumference of the circle. They were then repeated on an inner circle which could be rotated. These combinations were said to show all possible truth about the subject of the circle. Llull based this on the notion that there were a limited number of basic, undeniable truths in all fi elds of knowledge, and that we could understand everything about these fi elds of knowledge by studying combinations of these elemental truths. 10

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)f(x)= log11(x) 1600 12

)f(x)= log11(x) *id=‘’Hobbes_Thomas’’ Building on the ideas of Ramon Llull, Gottfried Leibnis together with Thomas Hobbes and Rene Descartes further explored his ideas. Just like Llull, they used reasoning and logic to try and simplify complex idea’s and concepts. With a certain set of rules or restrictions, Leibniz tried to make every possible outcome visible. In Hobbes’ book ‘Leviathan’ he famously wrote: ‘Reason is nothing but reckoning.’ In this book Hobbes writes about his vision on he structure of society and legitimate government. He states that civil war and the brute state of nature could be avoided only by a strong, undevided government. Just like his views on goverments, his views on knowledge isn’t much different. According to Hobbes, knowledge can be devided and substracted like a simple equation. Leibnis envisioned a universal language of reasoning, called ‘characteristica universalis’. His wanted to create an alphabet of human thought and a universal symbollic language for mathematics, science and metaphysics. He thought of his own language to be sort of algebra of thought. Leibniz took inspiration from Egyptian hieroglyphics and Chinese symbols, which also are able to convey a whole concept with a single symbol. Leibniz, much like the Llullian circle, created a diagram were all possibilities of a certain concept can be explored. He called this way of reasoning ‘diagrammatic reasoning. His goal was to find a way to reduce argumentation to calculation, so that there would be no discussion between two philosophers, as there would be no discussion between two accountants. Leibnis, Hobbes and Descartes were the philisophers who began to articulate the ‘physical symbol system’, which would become the baseline of AI research. The basic idea is that this system takes physical patterns, combines them into structures and manipulates them to create new expressions. Human thinking can be seen as symbol manipulation as much as machines can also be seen as intelligent. An example of things that use the physical symbol system are: algebra, where the symbols are the numbers and calculation symbols, the expressions are the equations and the processes are the rules of algebra. Without the research from Leibniz, Hobbes or Descartes, the development of AI would’ve been much slower. PHYSICAL SYMBOL SYSTEM 13

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*id=‘’Bayes_Thomas’’ 1763 THINKING IN NUMBERS Artifi cial intelligence requires the ability to learn and make decisions, often based on incomplete information. In 1763, Thomas Bayes developed a framework for reasoning about the probability of events, using math to update the probability of a hypothesis as more information becomes available. Thomas Bayes was a mathemathematician, who mainly studied probabilities in math. ‘The Bayesian Statistic’, was named after him. This part of probabilities within math is being used in different fi elds, namely in medical statistics, physics and civil engineering. Besides this, Bayes also had a solution for another problem. He proposed that the outcome of an experiment can be guessed based on the outcomes of previous experiments. On the left page of this spread, you can see the inference Thomas Bayes as thought of. The Bayesian inference has been a fundamental part of computerized pattern recognition techniques since the late 1950s. For example, the bayesian inference has helped with creating algorithms that can detect spam emails. Besides this, his inference has been used in court rooms, in cancer risk models, other computer applications and gene expression analysis. Thanks to his work, Bayesian inference would become an important approach in machine learning, and marks one of the earliest milestones on our AI timeline. 15

FROM NUMBERS TO POETRY Calculating machines were built in antiquity and improved throughout history by many mathematicians, including (once again) philosopher Gottfried Leibniz. In the early 19th century, Charles Babbage designed a programmable computer (the Analytical Engine), although it was never built. Ada Lovelace speculated that the machine “might compose elaborate and scientifi c pieces of music of any degree of complexity or extent”. She is often credited as the fi rst programmer because of a set of notes she wrote that completely detail a method for calculating Bernoulli numbers with the Engine. In 1842, English mathematician Ada Lovelace was helping Charles Babbage publish the fi rst algorithm to be carried out by his Analytical Engine, the fi rst general-purpose mechanical computer. The Analytical Engine was a mechanical eneral-purpose computer which could calculate different outcomes. The logical structure of the Analytical Engine was essentially the same as that which has dominated computer design in the electronic era. Babbage understood that the existence of an automatic computer would kindle interest in the fi eld now known as algorithmic effi ciency, writing in his Passages from the Life of a Philosopher, “As soon as an Analytical Engine exists, it will necessarily guide the future course of vthe science. Whenever any result is sought by its aid, the question will then arise—By what course of calculation can these results be arrived at by the machine in the shortest time?” Lovelace saw opportunities beyond the math. She envisioned a computer that could crunch not just numbers, but solve problems of any complexity. At the time it was revolutionary that machines have applications beyond pure calculation. Ada believed in the importance of intuition and image in mathematics and science. The key features were observation, interpretation and integration. She called the idea Poetical Science. They were relevant a hundred years ago and are still relevant today. The analytical engine is one of the fi rst creations within the fi eld of Artifi cial Intelligence. 16

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1909 MECHANICAL COMPUTERS Following Babbage, although at fi rst unaware of his earlier work, was Percy Ludgate, a clerk to a corn merchant in Dublin, Ireland. He independently designed a programmable mechanical computer, which he described in a work that was published in 1909. Two other inventors, Leonardo Torres y Quevedo and Vannevar Bush, also did follow on research based on Babbage’s work. In his ‘Essays on Automatics’, Torres y Quevedo designed a Babbage type of calculating machine that used electromechanical parts which included fl oating point number representations and built a prototype in 1920. The paper ends with a comparison of the advantages of electromechanical devices that were all that were available to Babbage. It establishes that Torres y Quevedo would have been quite capable of building a general-purpose electromechanical computer more than 20 years ahead of its time, had the practical need, motivation, and fi nancing been present. Torres y Quevedo is also known for building an autonomous machine capable of playing chess, El Ajedrecista. As opposed to the human-operated The Turk and Ajeeb, El Ajedrecista (The Chessplayer) was a true automaton which played chess without human guidance. It only played an endgame with three chess pieces, automatically moving a white king and a rook to checkmate the black king moved by a human opponent. were all that were available to Babbage. It establishes that Torres y Quevedo would have been quite capable of building a general-purpose electromechanical computer more than 20 years ahead of its time, had the practical need, motivation, and fi nancing been present. Torres y Quevedo is also known for building an autonomous machine capable of playing chess, El Ajedrecista. As opposed to the human-operated The Turk and Ajeeb, El Ajedrecista (The Chessplayer) was a true automaton which played chess without human guidance. It only played an endgame with three chess pieces, automatically moving a white king and a rook to checkmate the black king moved 18

1920 ROBOT R.U.R. is a 1920 science-fi ction play by the Czech writer Karel Čapek. “R.U.R.” stands for Rossum’s Universal Robots, a phrase that has been used as a subtitle in English versions. The play had its world premiere on 2 January 1921 in Hradec Králové; it introduced the word “robot” to the English language and to science fi ction as a whole. R.U.R. soon became infl uential after its publication. The word “robot” comes from the word “robota” (work or slave). A robot is a machine—especially one programmable by a computer—capable of carrying out a complex series of actions automatically. A robot can be guided by an external control device, or the control may be embedded within. Robots may be constructed to evoke human form, but most robots are task-performing machines, designed 19

World War II was not only a battle waged by humans, it was also a perfect fi eld to deploy the possibilities of intelligent systems. In the early- to mid- 20th century, a cipher device, named The Enigma machine, was developed and used to protect comercial, diplomatic and military communication. It was utilized predominantly by Nazi Germany during World War II, in all branches of the German military. The Germans believed that by using the Enigma Machine, they would be able to communicate securely and thus providing them a huge advantage in the war. The machine was considered so secure that it was used to encipher even the most top-secret messages. Until the brilliant mathematician Alan Turing came around. In 1939, Turing took up a full-time role at Bletchley Park in Buckinghamshire – where top secret work was carried out to decipher the military codes used by Germany and its allies. The main focus of Turing’s work at Bletchley was in cracking the ‘Enigma’ code. Turing pitted machine against machine. The prototype model of his anti-Enigma “Bombe”, named simply Victory, was installed in the spring of 1940. His bombes turned Bletchley Park into a codebreaking factory. As early as 1943 Turing’s machines were cracking a staggering total of 84,000 Enigma messages each month - two messages every minute. ENIGMA *id=”Alan_Turing” 1950 20

PERCEPTRON The human body has been the inspiration for many great systems throughout the decades. One of which is the Artifi cial Neural Network (ANN), a machine learning model heavily inspired by the brain functioning. The most notable neural network is the Rosenblatt Perceptron compound of a single artifi cial neuron. This artifi cial neuron model is the basis of today’s complex neural networks and was until the mid-eighties state of the art in ANN The perceptron algorithm was invented in 1958 at the Cornell Aeronautical Laboratory by Frank Rosenblatt, funded by the United States Offi ce of Naval Research. The perceptron was intended to be a machine, rather than a program. This machine was designed for image recognition: it had an array of 400 photocells, randomly connected to the “neurons”. Weights were encoded in potentiometers, and weight updates during learning were performed by electric motors. *id=”Frank Rosenblatt” 1960 21

ELIZA ELIZA is an early natural language processing computer program created from 1964 to 1966 at the MIT Artifi cial Intelligence Laboratory by Joseph Weizenbaum. Created to demonstrate the superfi ciality of communication between humans and machines, Eliza simulated conversation by using a “pattern matching” and substitution methodology that gave users an illusion of understanding on the part of the program, but had no built in framework for contextualizing events. Scan the qr code to talk to and get to know ELIZA *id=”Joseph_Weizenbaum” 1964 22

AARON Art as a form of expression has been proven to be successful in connecting others, even man and machine. Artist and University of California at San Diego art professor Harold Cohen has been working on the art-creating program, “Aaron”, the fi rst and most complex software program for computer-generated art, since 1973. Aaron draws and paints stylized still lifes and portraits of human fi gures out of its programmed “imagination” – no images or additional human input necessary. One byproduct of Aaron’s work – which has hung in museums around the world – is the lingering question of the nature of art and creativity itself. “Most everybody else does consider it to be creative,” Cohen said. “I personally do not, because I have rather stringent views on what creativity would demand. But it’s considered creative enough that the president of the American Association for Artifi cial Intelligence cited it in his inaugural address last year as one of the only creative programs in existence.” 1973 23

While man and machines are shown to be able to work with each other, they also prove to be a formidable opponent. For centuries humans were the strongest chess entities on the planet, until 1997. A computer was able to defeat the world champion at the time. Deep Blue was a chess computer developed by IBM. It is famous for defeating the chess world champion, GM Garry Kasparov, in their 1997 match. Deep Blue’s victory was viewed as a symbolic testament to the rise of artifi cial intelligence, a victory for machine versus man. 1997 DEEP BLUE 24

The idea of machine beating man is certainly not new, but also not exactly something you would desire. In 2002 an American (Artifi cial Intelligence) theorist and writer devised an informal experiment called “AI in a box” to attempt to demonstrate that a suitably advanced artifi cial intelligence can either convince, or perhaps even trick or coerce, a human being into voluntarily “releasing” it, using only text-based communication. This is one of the points in Yudkowsky’s work aimed at creating a friendly artifi cial intelligence that when “released” AI IN A BOX would not destroy the human race intentionally or unintentionally. The AI box experiment involves simulating a communication between an AI and a human being to see if the AI can be “released”. As an actual super-intelligent AI has not yet been developed, it is substituted by a human. The other person in the experiment plays the “Gatekeeper”, the person with the ability to “release” the AI. They communicate through a text interface/computer terminal only, and the experiment ends when either the Gatekeeper releases the AI, or the allotted time of two hours ends. Yudkowsky tried this experiment multiple times and three out of fi ve attempts he was able to convince the human to release the superhuman intelligence. We found this idea very interesting and we expanded on it in our project d00ms.dAI, where we replicated the experiment, but in the form of an escape room. Out of the fi ve times we conducted it, pretty much every participant failed. Scan the QR code at page 2 to watch our video about it. 2002 25

THE HONG KONG PROTESTS Crowd estimates for Hong Kong’s large prodemocracy protests have been a point of contention for years. The organizers and the police often release vastly divergent estimates. This year’s annual prodemocracy protest on Monday, July 1, was no different. Organizers announced 550,000 people attended; the police said 190,000 people were there at the peak. But for the fi rst time in the march’s history, a group of researchers combined artifi cial intelligence and manual counting techniques to estimate the size of the crowd, concluding that 265,000 people marched. This was talked about and many articles were written about it, to showcase the Chinese prowess, but many criticized it as questions the citizen’s privacy and autonomy. This has resulted in the people wearing Masks in deviance of the Government’s ban of face coverings. 2019 26

TESLA BOT During Tesla’s AI-event, the entrepreneur and business magnate Elon Musk, revealed the development of humanoid robots. Musk suggested it could help you with those repetitive, boring tasks people hate doing, but presumably it would handle any number of tasks involving manual labor. Musk imagines humans ultimately transcending our evolutionary heritage through technologies that are beyond-human, or “super” human. But before technology can become superhuman, it fi rst needs to be human – or at least be designed to thrive in a human-designed world. This is marked by many as a technological milestone, but it also raises many concerns. People questioned whether or not we should take the risk and hand our future to wealthy innovators, whose visions exceed their understanding. Is this the beginning of something great or perhaps the end? 2021 *id=”Elon_Musk” 27

ELON MUSK A.K.A ELON_ INFINITE 2044 28

It’s the year 2044, Elon musk launches the fi nal star ship towards its new world Mars. Elon made Mars to be a self sustaining world where no one would ever have to work. Mars consists mainly out of farm, only 20% of it’s landmass is inhabitable. The other 80% of the planet consist out of giant solar farms, Tesla-bot factories, automated farms worked on by tesla-bots and fi nally moisture farms. Moisture farms are an invention by Elon to create a steady supply of clean H2o on planets that hold no bodies of water. Mars was terraformed with only a billion people in mind, if it ever was to have more inhabitants it wouldn’t be able to sustain itself further. For this reason no one on mars is to have a child. The inhabitants of mars are on arrival sterilized and implanted with Elon’s AI brain implant. Elons AI Brian implant was created in the year 2043 by his company Neuralink. The chip bridges the gap between man and AI. The moment you have the chip implanted all your cells and brain activity will now be guided by AI. Since the cells are guided by the brain and the brain is guided by the AI, Elon was able to reverse the aging process. Making all inhabitants of Mars able to live forever. Once people are done with ‘‘living’’ they sign their conscious over to the AI who will continue to live on for them. If they ever want be brought back in the future they can just reactivate them self and continue to live their lives. It’s the year 2044, Elon musk launches the fi nal star ship towards its new world Mars. Elon made Mars to be a self sustaining world where no one would ever have to work. Mars consists mainly out of farm, only 20% of it’s landmass is inhabitable. The other 80% of the planet consist out of giant solar farms, Tesla-bot factories, automated farms worked on by tesla-bots and fi nally moisture farms. by his company Neuralink. The chip bridges the gap between man and AI. The moment you have the chip implanted all your cells and brain activity will now be guided by AI. Since the cells are guided by the brain and the brain is guided by the AI, Elon was able to reverse the aging process. Making all inhabitants of Mars able to live forever. Once people are done with ‘‘living’’ they sign their conscious over to the AI who will continue to live on for them. If they ever want be brought back in the future they can just reactivate them self and continue to live their lives. 29

JEFF BEZOZ A.K.A AMAZON PRIME 30

Long before Elon completed his ‘‘Mars project” Jeff Bezoz already took of towards the moon! Whit his company Blue Origin he created rockets that could relaunch en did not have to be rebuild just fueled up. With this access and ease to travel between Earth and the Moon Jeff decided that it was time to relocate amazon’s headquarters to the moon. The main reason Jeff wanted to relocate Amazon to the moon was because he had to deal with way less gravity and this means giant robots. Giant robots on earth where never really feasible, they would always crush themselves under their enormous weight. But on the moon with only 1/10 of earths gravity his plan would come to life and soon he would create his exosuit called: The Amazon Prime. The Amazon Prime is a giant robot that spawns a mighty 30 meters in hight. The sheer size of the thing meant it could not be controlled by one neural network at the time it needed help of AI, luckily Jeff had already developed a fully sentient AI called Alexa. Amongst co-piloting Amazon Prime with Jeff, Alexa would take care of: taking care of all automatic farms on the moon, run all the factories on the moon, and still would be able to deliver your amazon orders on time. With the help of Alexa humanity moon colony has became a hive mind. Alexa would wake you up in the morning, order you food and take you of to work at the same time with uber, then would guide all the thing you would have to do on work and take you home when it was time to go. There’s no thinking involved, on as moon inhabitant you get a live free of stress and planning. 2044 31

Since both the Earth and the Moon are owned by Amazon and Mars is fully owned by Tesla it didn’t leave much room for Meta. For this reason Mark came with the solution for anyone who could not afford a ticked to Musk’s Mars or live on Amazons earth or moon, The Metaverse. The Metaverse is a digital world where anyone can live pain and care free, now what’s the catch you ask? it’s simple. The Metaverse is hosted on a network of satellites that are in orbit. There’s no physical space in the satellites only super computers. To enter the metaverse you need to merge with your meta AI. Your meta AI has already collected all the data you’ve sent across years of facebook, instagram and whatsapp usage. With all this collected data the AI can create a version of you within the metaverse. You can replace your meta avatar with the real you whenever you want. There’s only a little catch. Entering the metaverse is a kind of one way trip. You can upload your full conscious onto the metaverse but there is no reversal process once this is done. Once uploaded you will forever exist as an avatar within the Metaverse. This means a life fi lled with games and other types of fun activities. All that Meta asks in return is to spend time on its servers. During your stay on the Metaverse you will encounter ads like you would in the normal world and these ads pay for multiple services such as the one that keeps the satellites in orbit. Once you would like to end your stay at the Metaverse you van severe the connection between you and your AI. Your AI will continue to live on the metaverse as you while all conscious aspect of yourself will cease to exist. 2044 Once uploaded you will forever exist as an avatar within the Metaverse. This means a life fi lled with games and other types of fun activities. All that Meta asks in return is to spend time on its servers. During your stay on the Metaverse you will encounter ads like you would in the normal world and these ads pay for multiple services such as the one that keeps the satellites in orbit. Once you would like to end your stay at the Metaverse you van severe the connection between you and your AI. Your AI will continue to live on the metaverse as you while all conscious aspect of yourself will cease to exist. Once uploaded you will forever exist as an avatar within the Metaverse. This means a life fi lled with games and other types of fun activities. All that Meta asks in return is to spend time on its servers. During your stay on the Metaverse you will encounter ads like you would in the normal world and these ads pay for multiple services such as the one that keeps the satellites in orbit. Once you would like to end your stay at the Metaverse you van severe the connection between you and your AI. Your AI will continue to live on the metaverse as you while all conscious aspect of yourself will cease to exist. 2044 32

MARK ZUCKERBERG A.K.A META MARK 33

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