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Life in this society being, at best, an utter bore and no aspect of society being at all relevant to women, there remains to civic-minded, responsible, thrill-seeking females only to overthrow the government, eliminate the money system, institute complete automation and destroy the male sex.
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Valerie Solanas (SCUM Manifesto)
“
As advances in AI, machine learning, and neural networks evolve, incomprehensibility will reach even higher levels - exposing these complex systems to both human and machine errors.
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Roger Spitz (The Definitive Guide to Thriving on Disruption: Volume I - Reframing and Navigating Disruption)
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Man is to technology what the bee is to the flower. It’s man’s intervention that allows technology to expand and evolve itself and in return, technology offers man convenience, wealth and the lessening burden of physical labor via its automated systems.
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James Scott, co-founder, Institute for Critical Infrastructure Technology
“
AI won’t replace humans, but people who can use it will.” This sounds reassuring, but it oversimplifies the complex future of work and AI integration. Experts predict a surge in opportunities, but the intricate interplay between cognification, mass automation, and how we work remains uncharted. The net effect of AI on employment is unknown - we have no data on the future.
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Roger Spitz (Disrupt With Impact: Achieve Business Success in an Unpredictable World)
“
Paradox of Automation: the more efficient the Automated system, the more crucial the contribution of the human operators of that system.
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Josh Kaufman (The Personal MBA: Master the Art of Business)
“
Find a printer paper and imagine a full-grown bird shaped something like a football with legs standing on it. Imagine 33,000 of these rectangles in a grid. (Broilers are never in cages, and never on multiple levels.) Now enclose the grid with windowless walls and put a ceiling on top. Run in automated (drug-laced) feed, water, heating, and ventilation systems. This is a farm.
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Jonathan Safran Foer (Eating Animals)
“
In the end, managing your finances well is a lot like developing a strong personal productivity system: You keep track of everything without making it your full-time job; you set goals; you break them down into small bite-size tasks; you save yourself time by automating manual work; and you spend your time and brainpower focusing on the big picture. That’s what I try to do with my time and money.
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Ramit Sethi (I Will Teach You To Be Rich: No guilt, no excuses - just a 6-week programme that works)
“
We always thought the robot apocalypse would be fleets of killer drones and war mecha the size of apartment blocks and terminators with red eyes. Not a row of mechanised checkouts in the local Extra and the alco station; online banking; self-driving taxis; an automated triage system in the hospital. One by one, the bots came and replaced us.
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Ian McDonald (Luna: New Moon)
“
in 1983, the psychologist Lisanne Bainbridge wrote a seminal essay on the hidden dangers of relying too heavily on automated systems.48 Build a machine to improve human performance, she explained, and it will lead – ironically – to a reduction in human ability.
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Hannah Fry (Hello World: How to be Human in the Age of the Machine)
“
As a new entrepreneur, you're probably gonna have to hustle hard to get things going at first. But as the business grows and becomes more established, that unrefined hustle should be replaced by automated profit-producing processes and systems. Hustle is good as a temporary mode of operating, but it's unsustainable long term and unprofitable long term.
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Hendrith Vanlon Smith Jr.
“
The more automated society gets and the more powerful the attacking AI becomes, the more devastating cyberwarfare can be. If you can hack and crash your enemy’s self-driving cars, auto-piloted planes, nuclear reactors, industrial robots, communication systems, financial systems and power grids, then you can effectively crash his economy and cripple his defenses. If you can hack some of his weapons systems as well, even better.
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Max Tegmark (Life 3.0: Being Human in the Age of Artificial Intelligence)
“
The two pillars of the Toyota production system are just-in-time and automation with a human touch, or autonomation.
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David J. Anderson (Kanban)
“
In highly automated systems, the operator is often at the mercy of the system design and operational procedures.
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Nancy G. Leveson (Engineering a Safer World: Systems Thinking Applied to Safety (Engineering Systems))
“
The container is at the core of a highly automated system for moving goods from anywhere, to anywhere, with a minimum of cost and complication on the way. The container made shipping cheap, and by doing so changed the shape of the world economy.
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Marc Levinson
“
I find these comparisons particularly poignant: life versus death, hope versus fear. Space exploration and the highly mechanized destruction of people use similar technology and manufacturers, and similar human qualities of organization and daring. Can we not make the transition from automated aerospace killing to automated aerospace exploration of the solar system in which we live?
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Carl Sagan (Mars and the Mind of Man)
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In 1953, Allen Dulles, then director of the USA Central Intelligence Agency (CIA), named Dr Sidney Gottlieb to direct the CIA's MKULTRA programme, which included experiments conducted by psychiatrists to create amnesia, new dissociated identities, new memories, and responses to hypnotic access codes. In 1972, then-CIA director Richard Helms and Gottlieb ordered the destruction of all MKULTRA records. A clerical error spared seven boxes, containing 1738 documents, over 17,000 pages. This archive was declassified through a Freedom of Information Act Request in 1977, though the names of most people, universities, and hospitals are redacted. The CIA assigned each document a number preceded by "MORI", for "Managament of Officially Released Information", the CIA's automated electronic system at the time of document release. These documents, to be referenced throughout this chapter, are accessible on the Internet (see: abuse-of-power (dot) org/modules/content/index.php?id=31). The United States Senate held a hearing exposing the abuses of MKULTRA, entitled "Project MKULTRA, the CIA's program of research into behavioral modification" (1977).
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Orit Badouk Epstein (Ritual Abuse and Mind Control)
“
I put myself away. I came up with the great vanishing system, in which I could retreat so deep within myself that, though I might still appear the same creature, actually I was very different. I thrust all thoughts and feelings into the depths of me, where they were safe, but in an outward way I became something like an automation.
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Edward Carey (Little)
“
Marginalized groups face higher levels of data collections when they access public benefits, walk through highly policed neighborhoods, enter the health-care system, or cross national borders. That data acts to reinforce their marginality when it is used to target them for suspicion and extra scrutiny. Those groups seen as undeserving are singled out for punitive public policy and more intense surveillance, and the cycle begins again. It is a kind of collective red-flagging, a feedback loop of injustice.
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Virginia Eubanks (Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor)
“
A use case is a description of the way that an automated system is used. It specifies the input to be provided by the user, the output to be returned to the user, and the processing steps involved in producing that output. A use case describes application-specific business rules as opposed to the Critical Business Rules within the Entities.
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Robert C. Martin
“
A Checklist is an Externalized, predefined Standard Operating Procedure for completing a specific task. Creating a Checklist is enormously valuable for two reasons. First, Checklisting will help you define a System for a process that hasn’t yet been formalized—once the Checklist has been created, it’s easier to see how to improve or Automate the system. Second, using Checklists as a normal part of working can help ensure that you don’t forget to handle important steps that are easily overlooked when things get busy.
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Josh Kaufman (The Personal MBA: A World-Class Business Education in a Single Volume)
“
Automation weakens the bond between tool and user not because computer-controlled systems are complex but because they ask so little of us.
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Nicholas Carr (The Glass Cage: How Our Computers Are Changing Us)
“
Hello, Jackass Dirtbag,” says a perky computer voice. “Welcome to your divisional experience! I am your fully automated Unwinding Intelli-System, but you can call me UNIS.
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Neal Shusterman (UnDivided (Unwind, #4))
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All descriptions of how near certainty is to be achieved are based primarily on emerging technologies. A Global Information Grid of “persistent surveillance” will gather information and share that information in a networked “collaborative information environment.” Automated systems will fuse that intelligence and make possible “virtual collaboration among geographically dispersed” analysts who will generate intelligence and, ultimately, knowledge. Some even assume that this “robust intelligence” will deliver not only a clear appreciation for the current situation, but also generate “predictive intelligence” that will allow US forces to “anticipate the unexpected." Despite its enthusiastic embrace, the assumption of near-certainty in future war is a dangerous fallacy.
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H.R. McMaster
“
Let us fool ourselves no longer. At the very moment Western nations, threw off the ancient regime of absolute government, operating under a once-divine king, they were restoring this same system in a far more effective form in their technology, reintroducing coercions of a military character no less strict in the organization of a factory than in that of the new drilled, uniformed, and regimented army. During the transitional stages of the last two centuries, the ultimate tendency of this system might b e in doubt, for in many areas there were strong democratic reactions; but with the knitting together of a scientific ideology, itself liberated from theological restrictions or humanistic purposes, authoritarian technics found an instrument at hand that h as now given it absolute command of physical energies of cosmic dimensions. The inventors of nuclear bombs, space rockets, and computers are the pyramid builders of our own age: psychologically inflated by a similar myth of unqualified power, boasting through their science of their increasing omnipotence, if not omniscience, moved by obsessions and compulsions no less irrational than those of earlier absolute systems: particularly the notion that the system itself must be expanded, at whatever eventual co st to life.
Through mechanization, automation, cybernetic direction, this authoritarian technics has at last successfully overcome its most serious weakness: its original dependence upon resistant, sometimes actively disobedient servomechanisms, still human enough to harbor purposes that do not always coincide with those of the system.
Like the earliest form of authoritarian technics, this new technology is marvellously dynamic and productive: its power in every form tends to increase without limits, in quantities that defy assimilation and defeat control, whether we are thinking of the output of scientific knowledge or of industrial assembly lines. To maximize energy, speed, or automation, without reference to the complex conditions that sustain organic life, have become ends in themselves. As with the earliest forms of authoritarian technics, the weight of effort, if one is to judge by national budgets, is toward absolute instruments of destruction, designed for absolutely irrational purposes whose chief by-product would be the mutilation or extermination of the human race. Even Ashurbanipal and Genghis Khan performed their gory operations under normal human limits.
The center of authority in this new system is no longer a visible personality, an all-powerful king: even in totalitarian dictatorships the center now lies in the system itself, invisible but omnipresent: all its human components, even the technical and managerial elite, even the sacred priesthood of science, who alone have access to the secret knowledge by means of which total control is now swiftly being effected, are themselves trapped by the very perfection of the organization they have invented. Like the Pharoahs of the Pyramid Age, these servants of the system identify its goods with their own kind of well-being: as with the divine king, their praise of the system is an act of self-worship; and again like the king, they are in the grip of an irrational compulsion to extend their means of control and expand the scope of their authority. In this new systems-centered collective, this Pentagon of power, there is no visible presence who issues commands: unlike job's God, the new deities cannot be confronted, still less defied. Under the pretext of saving labor, the ultimate end of this technics is to displace life, or rather, to transfer the attributes of life to the machine and the mechanical collective, allowing only so much of the organism to remain as may be controlled and manipulated.
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Lewis Mumford
“
Whereas automation is the use of technology to support this traditional model, innovation enables ways of making practical expertise available that simply were not possible (or even imaginable) without the systems in question.
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Richard Susskind (The Future of the Professions: How Technology Will Transform the Work of Human Experts)
“
The digital poorhouse is persistent. Once they scale up, digital systems can be remarkably hard to decommission. Think, for example, about what might happen if the world learned about a gross violation of trust at a large data company like Google.
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Virginia Eubanks (Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor)
“
He invested heavily in an automated general store in which customers would put a coin in a slot and a moment later a bag of coal, potatoes, onions, nails, hairpins, or other desired commodity would come sliding down a chute to them. The system never worked. It never came close to working.
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Bill Bryson (At Home: A Short History of Private Life)
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That went well," Christina murmured to him.
"Pffaww," he agreed. "They're a pair! They don't like anything. They don't even like the dachshund. Who doesn't like dachshunds? They're little parcels of dog-shaped goodness. I've known Jalabite Hegemon ships give up conquest and start little farmsteads just so they can have happy dachshunds. Everyone likes dachshunds, everywhere in the universe. Well, except on Bithomorency. People there got into a war with a refugee column of evolutionarily advanced dachshund supersoldiers fleeing the destruction of their homeworld. The wire-haired marines took out an entire town - two hundred thousand dead. And it was a tragic misunderstanding. The dachshunds only stopped to ask for some biscuits, automated defence systems fired on them. There's a lesson: never give control of your space weapons to an unsupervised machine." He shrugged, and she found herself nodding: schoolboy error.
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Nick Harkaway (Doctor Who: Keeping Up with the Joneses (Time Trips))
“
The optimists claim that through the course of evolution the nervous system has become adept at “chunking” bits of information so that processing capacity is constantly expanded. Simple functions like adding a column of numbers or driving a car grow to be automated, leaving the mind free to deal with more data. We
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Mihály Csíkszentmihályi (Flow: The Psychology of Optimal Experience)
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When you feel the need to escape your problems, to escape from this world, don't make the mistake of resorting to suicide Don't do it! You will hear the empty advice of many scholars in the matter of life and death, who will tell you, "just do it" there is nothing after this, you will only extinguish the light that surrounds you and become part of nothingness itself, so when you hear these words remember this brief review of suicide: When you leave this body after committing one of the worst acts of cowardice that a human being can carry out, you turn off the light, the sound and the sense of reality, you become nothing waiting for the programmers of this game to pick you up from the darkness, subtly erase your memories and enable your return and I emphasize the word subtle because sometimes the intelligence behind this maneuver or automated mechanism is wrong and send human beings wrongly reset to such an extent, that when they fall to earth and are born again, they begin to experience memories of previous lives, in many cases they perceive themselves of the opposite sex, and science attributes this unexplainable phenomenon to genetic and hormonal factors, but you and I know better! And we quickly identified this trigger as a glitch in the Matrix. Then we said! That a higher intelligence or more advanced civilization throws you back into this game for the purpose of experimenting, growing and developing as an advanced consciousness and due to your toxic and destructive behavior you come back again but in another body and another life, but you are still you, then you will carry with you that mark of suicide and cowardice, until you learn not to leave this experience without having learned the lesson of life, without having experienced and surprised by death naturally or by design of destiny. About this first experience you will find very little material associated with this event on the internet, it seems that the public is more reserved, because they perceive themselves and call themselves "awakened" And that is because the system has total control over the algorithm of fame and fortune even over life and death. Now, according to religion and childish fears, which are part of the system's business to keep you asleep, eyes glued to the cellular device all day, it says the following: If you commit this act of sin, you turn off light, sound and sense of reality, and from that moment you begin to experience pain, fear and suffering on alarming scales, and that means they will come for you, a couple of demons and take you to the center of the earth where the weeping and gnashing of teeth is forever, and in that hell tormented by demons you will spend eternity. About this last experience we will find hundreds of millions of people who claim to have escaped from there! And let me tell you that all were captivated by the same deity, one of dubious origin, that feeds on prayers and energetic events, because it is not of our nature, because it knows very well that we are beings of energy, then this deity or empire of darkness receives from the system its food and the system receives from them power, to rule, to administer, to control, to control, to kill, to exclude, to inhibit, to classify, to imprison, to silence, to infect, to contaminate, to depersonalize. So now that you know the two sides of the same coin, which one will your intelligence lean towards! You decide... Heads or tails? From the book Avatars, the system's masterpiece.
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Marcos Orowitz (THE LORD OF TALES: The masterpiece of deceit)
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So, when should you think about automating a process? The simplest answer is, “When you have to do it a second time.” The third time you do something, it should be done using an automated process. This fine-grained incremental approach rapidly creates a system for automating the repeated parts of your development, build, test, and deployment process.
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Jez Humble (Continuous delivery)
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Purchase Price $250,000 Down Payment $ 25,000 Mortgage Amount $225,000 At 7% Interest Rate 30 Years $1,349 $485,636 15 Years $1,899 $341,762 Difference $550 $143,874 Five hundred fifty dollars more per month, and you will save almost $150,000 and fifteen years of bondage. The really interesting thing I have observed is that fifteen-year mortgages always pay off in fifteen years. Again, part of a Total Money Makeover is putting in place systems that automate smart moves, which is what a fifteen-year mortgage is. Thirty-year mortgages are for people who enjoy slavery so much they want to extend it for fifteen more years and pay thousands of dollars more for the privilege. If you must take out a mortgage, pretend only fifteen-year mortgages exist. If you have a great interest rate, it is not necessary to refinance to pay a mortgage off in fifteen years or earlier. Simply make payments as if you have a fifteen-year mortgage, and your mortgage will pay off in fifteen years. If you want to pay any mortgage off in twelve years or any number you want, visit my website or get a calculator and calculate the proper payment at your interest rate on your balance for a twelve-year mortgage (or the number you want). Once you have that payment amount, add to your monthly mortgage payment the difference between the new principal and interest payment and your current principal and interest payment, and you will pay off your home in twelve years.
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Dave Ramsey (The Total Money Makeover: A Proven Plan for Financial Fitness)
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Many duct-taper jobs are the result of a glitch in the system that no one has bothered to correct—tasks that could easily be automated, for instance, but haven’t been either because no one has gotten around to it, or because the manager wants to maintain as many subordinates as possible, or because of some structural confusion, or because of some combination of the three.
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David Graeber (Bullshit Jobs: A Theory)
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THE RIVE BROTHERS used to be like a technology gang. In the late 1990s, they would jump on skateboards and zip around the streets of Santa Cruz, knocking on the doors of businesses and asking if they needed any help managing their computing systems. The young men, who had all grown up in South Africa with their cousin Elon Musk, soon decided there must be an easier way to hawk their technology smarts than going door-to-door. They wrote some software that allowed them to take control of their clients’ systems from afar and to automate many of the standard tasks that companies required, such as installing updates for applications. The software became the basis of a new company called Everdream, and the brothers promoted their technology in some compelling ways.
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Ashlee Vance (Elon Musk: How the Billionaire CEO of SpaceX and Tesla is Shaping our Future)
“
Why does Joe Normie think it’s a litmus test for morality if one returns one’s shopping cart? Big-box stores put out of business local retailers, they automated their systems to reduce employees, and they got customers to be their own cashiers without getting paid for their labor, and yet to prove I’m a good person, I’m supposed to do more unpaid work for them to streamline their operation?
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Jarod Kintz (Eggs, they’re not just for breakfast)
“
Pham Nuwen spent years learning to program/explore. Programming went back to the beginning of time. It was a little like the midden out back of his father’s castle. Where the creek had worn that away, ten meters down, there were the crumpled hulks of machines—flying machines, the peasants said—from the great days of Canberra’s original colonial era. But the castle midden was clean and fresh compared to what lay within the Reprise’s local net. There were programs here that had been written five thousand years ago, before Humankind ever left Earth. The wonder of it—the horror of it, Sura said—was that unlike the useless wrecks of Canberra’s past, these programs still worked! And via a million million circuitous threads of inheritance, many of the oldest programs still ran in the bowels of the Qeng Ho system. Take the Traders’ method of timekeeping. The frame corrections were incredibly complex—and down at the very bottom of it was a little program that ran a counter. Second by second, the Qeng Ho counted from the instant that a human had first set foot on Old Earth’s moon. But if you looked at it still more closely. . .the starting instant was actually some hundred million seconds later, the 0-second of one of Humankind’s first computer operating systems.
So behind all the top-level interfaces was layer under layer of support. Some of that software had been designed for wildly different situations. Every so often, the inconsistencies caused fatal accidents. Despite the romance of spaceflight, the most common accidents were simply caused by ancient, misused programs finally getting their revenge.
“We should rewrite it all,” said Pham.
“It’s been done,” said Sura, not looking up. She was preparing to go off-Watch, and had spent the last four days trying to root a problem out of the coldsleep automation.
“It’s been tried,” corrected Bret, just back from the freezers. “But even the top levels of fleet system code are enormous. You and a thousand of your friends would have to work for a century or so to reproduce it.” Trinli grinned evilly. “And guess what—even if you did, by the time you finished, you’d have your own set of inconsistencies. And you still wouldn’t be consistent with all the applications that might be needed now and then.”
Sura gave up on her debugging for the moment. “The word for all this is ‘mature programming environment.’ Basically, when hardware performance has been pushed to its final limit, and programmers have had several centuries to code, you reach a point where there is far more signicant code than can be rationalized. The best you can do is understand the overall layering, and know how to search for the oddball tool that may come in handy—take the situation I have here.” She waved at the dependency chart she had been working on. “We are low on working fluid for the coffins. Like a million other things, there was none for sale on dear old Canberra. Well, the obvious thing is to move the coffins near the aft hull, and cool by direct radiation. We don’t have the proper equipment to support this—so lately, I’ve been doing my share of archeology. It seems that five hundred years ago, a similar thing happened after an in-system war at Torma. They hacked together a temperature maintenance package that is precisely what we need.”
“Almost precisely.
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Vernor Vinge (A Deepness in the Sky (Zones of Thought, #2))
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In the morning I walked to the bank. I went to the automated teller machine to check my balance. I inserted my card, entered my secret code, tapped out my request. The figure on the screen roughly corresponded to my independent estimate, feebly arrived at after long searches through documents, tormented arithmetic. Waves of relief and gratitude flowed over me. The system had blessed my life. I felt its support and approval. The system hardware, the mainframe sitting in a locked room in some distant city. What a pleasing interaction. I sensed that something of deep personal value, but not money, not that at all, had been authenticated and confirmed. A deranged person was escorted from the bank by two armed guards. The system was invisible, which made it all the more impressive, all the more disquieting to deal with. But we were in accord, at least for now.
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Don DeLillo (White Noise)
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Seemed like a fact of the universe that the closer you got to anything, the worse it looked. Take the most beautiful person in the solar system, zoom in on them at the right magnification and they were an apocalyptic cratered landscape crawling with horrors. That’s what the Earth was. A shining jewel from space, up close a blasted landscape covered with mites living by devouring the dying. “One ticket to New York,” he said to the automated kiosk.
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James S.A. Corey (Nemesis Games (Expanse #5))
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If You Only Track Five Metrics… Track as many of these as you can in your sales force automation system’s dashboards: New leads created per month (also, from what source). Conversion rate of leads to opportunities. Number of, and pipeline dollar value of, qualified opportunities created per month. This is the most important leading indicator of revenue! Conversion rates of opportunities to closed deals. Booked revenues in three categories: New Business, Add-On Business, Renewal Business.
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Aaron Ross (Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.com)
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Oath of Non-Harm for an Age of Big Data I swear to fulfill, to the best of my ability, the following covenant: I will respect all people for their integrity and wisdom, understanding that they are experts in their own lives, and will gladly share with them all the benefits of my knowledge. I will use my skills and resources to create bridges for human potential, not barriers. I will create tools that remove obstacles between resources and the people who need them. I will not use my technical knowledge to compound the disadvantage created by historic patterns of racism, classism, able-ism, sexism, homophobia, xenophobia, transphobia, religious intolerance, and other forms of oppression. I will design with history in mind. To ignore a four-century-long pattern of punishing the poor is to be complicit in the “unintended” but terribly predictable consequences that arise when equity and good intentions are assumed as initial conditions. I will integrate systems for the needs of people, not data. I will choose system integration as a mechanism to attain human needs, not to facilitate ubiquitous surveillance. I will not collect data for data’s sake, nor keep it just because I can. When informed consent and design convenience come into conflict, informed consent will always prevail. I will design no data-based system that overturns an established legal right of the poor. I will remember that the technologies I design are not aimed at data points, probabilities, or patterns, but at human beings.
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Virginia Eubanks (Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor)
“
Automated decision-making shatters the social safety net, criminalizes the poor, intensifies discrimination, and compromises our deepest national values. It reframes shared social decisions about who we are and who we want to be as systems engineering problems. And while the most sweeping digital decision-making tools are tested in what could be called “low rights environments” where there are few expectations of political accountability and transparency, systems first designed for the poor will eventually be used on everyone.
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Virginia Eubanks (Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor)
“
This, I think, is the most tragic loss brought on by the modern health care system. The loving interconnectedness of doctor, family, and community is being destroyed. These ties that bind us to each other are the bonds that define our humanity, and yet they are being systematically severed in the service of automated bookkeeping. The entire health care system is now being organized around machines instead of human beings. Not prioritized to reduce human suffering, but rather to optimize a computerized recordkeeping system. This is a tragedy.
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Carolyn Jourdan (Medicine Men: Extreme Appalachian Doctoring)
“
Imagine a scenario where we can develop AI to a point where AI largely runs the logistical aspects of everyone’s lives: transportation, clothing, personal care, health—everything is automated. In that world, our brain is now freed from doing what it does for 80% of the day. It’s free to pursue higher-order complexities. The question now is, what will we do? For example, what if studying physics and quantum theory produced the same reward system that watching the Kardashians does today? What if we found out that our brains could extend to four, five, or ten dimensions? What would we create? What would we do?
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Martin Ford (Architects of Intelligence: The truth about AI from the people building it)
“
In other words, however much devaluation of capital may devastate the individual capitalist in periods of crisis, they are a safety valve for the capitalist class as a whole. For the system devaluation of capital is a means of prolonging its life span, of defusing the dangers that threaten to explode the entire mechanism. The individual is thus sacrificed in the interest of the species.” However, since the share of the value-creating variable capital has shrunk, the same tendency that has staved off breakdown goes on to reproduce it. “A capital that fails to fulfil its function of valorisation ceases to be capital; hence its devaluation.”[117
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Ted Reese (Socialism or Extinction: Climate, Automation and War in the Final Capitalist Breakdown)
“
New high-tech tools allow for more precise measuring and tracking, better sharing of information, and increased visibility of targeted populations. In a system dedicated to supporting poor and working-class people's self-determination, such diligence would guarantee that they attain all the benefits they are entitled to by law. In that context, integrated data and modernized administration would not necessarily result in bad outcomes for poor communities. But automated decision-making in our current welfare system acts a lot like older, atavistic forms of punishment and containment. It filters and diverts. It is a gatekeeper, not a facilitator.
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Virginia Eubanks (Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor)
“
-the bank recently introduced a new system that automated many tasks in my role as a risk analyst and therefore my position has been eliminated; I’m an exemplary employee and this is in no way a reflection of my performance; the company will provide me with ample support during the “transition.”
I might be the only person in the history of mankind to eat an entire banana while losing her job.
The “transition” would begin immediately. As in, I wasn’t allowed to go back to my desk, to collect my things, or to say goodbye to my coworkers. I was to be walked down to the security desk like a criminal and handed my belongings in a box, then shown the curb.
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K.A. Tucker (The Simple Wild (Wild, #1))
“
As automation threatens to shake the capitalist system to its foundation, one might suppose that communism could make a comeback. But communism was not built to exploit that kind of crisis. Twentieth-century communism assumed that the working class was vital for the economy, and communist thinkers tried to teach the proletariat how to translate its immense economic power into political clout. The communist political plan called for a working-class revolution. How relevant will these teachings be if the masses lose their economic value, and therefore need to struggle against irrelevance rather than against exploitation? How do you start a working-class revolution without a working class?
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Yuval Noah Harari (21 Lessons for the 21st Century)
“
His early research wasn’t especially original. Ax identified slight upward trends in a number of investments and tested if their average price over the previous ten, fifteen, twenty, or fifty days was predictive of future moves. It was similar to the work of other traders, often called trenders, who examine moving averages and jump on market trends, riding them until they peter out. Ax’s predictive models had potential, but they were quite crude. The trove of data Simons and others had collected proved of little use, mostly because it was riddled with errors and faulty prices. Also, Ax’s trading system wasn’t in any way automated—his trades were made by phone, twice a day, in the morning and at the end of the trading day.
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Gregory Zuckerman (The Man Who Solved the Market: How Jim Simons Launched the Quant Revolution)
“
As black-box technologies become more widespread, there have been no shortage of demands for increased transparency. In 2016 the European Union's General Data Protection Regulation included in its stipulations the "right to an explanation," declaring that citizens have a right to know the reason behind the automated decisions that involve them. While no similar measure exists in the United States, the tech industry has become more amenable to paying lip service to "transparency" and "explainability," if only to build consumer trust. Some companies claim they have developed methods that work in reverse to suss out data points that may have triggered the machine's decisions—though these explanations are at best intelligent guesses. (Sam Ritchie, a former software engineer at Stripe, prefers the term "narratives," since the explanations are not a step-by-step breakdown of the algorithm's decision-making process but a hypothesis about reasoning tactics it may have used.) In some cases the explanations come from an entirely different system trained to generate responses that are meant to account convincingly, in semantic terms, for decisions the original machine made, when in truth the two systems are entirely autonomous and unrelated. These misleading explanations end up merely contributing another layer of opacity. "The problem is now exacerbated," writes the critic Kathrin Passig, "because even the existence of a lack of explanation is concealed.
”
”
Meghan O'Gieblyn (God, Human, Animal, Machine: Technology, Metaphor, and the Search for Meaning)
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The fugitive species learned that to survive at all they had to hide, and hide expertly. There were pockets of space where intelligence had not arisen in recent times—sterilised by supernova explosions, or neutron star mergers—and these cleansed zones made the best hiding places. But there were dangers. Intelligence was always waiting to emerge; new cultures were always evolving and spilling into space. It was these outbreaks of life which drew the predatory machines. They placed automated watching devices and traps around promising solar systems, ready to be triggered as soon as new spacefaring cultures stumbled upon them. So the grubs and their allies—the few that remained—grew intensely paranoid and watchful for the signs of new life.
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Alastair Reynolds (Chasm City (Revelation Space))
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While poorhouses have been physically demolished, their legacy remains alive and well in the automated decision-making systems that encage and entrap today's poor. For all their high-tech polish, our modern systems of poverty management - automated decision-making, data mining, and predictive analysis - retain a remarkable kinship with the poorhouses of the past. Our new digital tools spring from punitive, moralistic views of poverty and create a system of high-tech containment and investigation. The digital poorhouse deters the poor from accessing public resources; polices their labor, spending, sexuality, and parenting; tries to predict their future behavior; and punishes and criminalizes those who do not comply with its dictates. In the process, it creates ever-finer moral distinctions between the 'deserving' and 'undeserving' poor, categorizations that rationalize our national failure to care for one another.
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Virginia Eubanks (Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor)
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There's a clear link between this cultural pattern and Germany's place in history as one of the first countries in the world to become heavily industrialized. Imagine being a factory worker in the German automative industry. If you arrive at work four minutes late, the machine for which you are responsible gets started late, which exacts a real, measurable financial cost. To this day, the perception of time in Germany is partially rooted in the early impact of the industrial revolution, where factory work required the labor force to be on hand and in place at a precisely appointed moment. In other societies -particularly in developing world- life centers around the fact of constant change. As political systems shift and financial systems alter, as traffic surges and wanes, as monsoons or water shortages raise unforeseeable challenges, the successful managers are those who have developed the ability to ride out the changes with ease and flexibility.
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Erin Meyer (The Culture Map: Breaking Through the Invisible Boundaries of Global Business)
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Ben Mezrich (The Antisocial Network: The GameStop Short Squeeze and the Ragtag Group of Amateur Traders That Brought Wall Street to Its Knees)
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One of those was Gary Bradski, an expert in machine vision at Intel Labs in Santa Clara. The company was the world’s largest chipmaker and had developed a manufacturing strategy called “copy exact,” a way of developing next-generation manufacturing techniques to make ever-smaller chips. Intel would develop a new technology at a prototype facility and then export that process to wherever it planned to produce the denser chips in volume. It was a system that required discipline, and Bradski was a bit of a “Wild Duck”—a term that IBM originally used to describe employees who refused to fly in formation—compared to typical engineers in Intel’s regimented semiconductor manufacturing culture. A refugee from the high-flying finance world of “quants” on the East Coast, Bradski arrived at Intel in 1996 and was forced to spend a year doing boring grunt work, like developing an image-processing software library for factory automation applications. After paying his dues, he was moved to the chipmaker’s research laboratory and started researching interesting projects. Bradski had grown up in Palo Alto before leaving to study physics and artificial intelligence at Berkeley and Boston University. He returned because he had been bitten by the Silicon Valley entrepreneurial bug.
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John Markoff (Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots)
“
The cheerleaders of the new data regime rarely acknowledge the impacts of digital decision-making on poor and working-class people. This myopia is not shared by those lower on the economic hierarchy, who often see themselves as targets rather than beneficiaries of these systems. For example, one day in early 2000, I sat talking to a young mother on welfare about her experiences with technology. When our conversation turned to EBT cards, Dorothy Allen said, “They’re great. Except [Social Services] uses them as a tracking device.” I must have looked shocked, because she explained that her caseworker routinely looked at her purchase records. Poor women are the test subjects for surveillance technology, Dorothy told me. Then she added, “You should pay attention to what happens to us. You’re next.” Dorothy’s insight was prescient. The kind of invasive electronic scrutiny she described has become commonplace across the class spectrum today. Digital tracking and decision-making systems have become routine in policing, political forecasting, marketing, credit reporting, criminal sentencing, business management, finance, and the administration of public programs. As these systems developed in sophistication and reach, I started to hear them described as forces for control, manipulation, and punishment
”
”
Virginia Eubanks (Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor)
“
Space Rockets as Power Symbols
The moon rocket is the climactic expression of the power system: the maximum utilization of the resources of science and technics for the achievement of a relatively miniscule result: the hasty exploration of a barren satellite. Space exploration by manned rockets enlarges and intensifies all the main components of the power system: increased energy, accelerated motion, automation, cyber-nation, instant communication, remote control. Though it has been promoted mainly under military pressure, the most vital result of moon visitation so far turns out to be an unsought and unplanned one-a full view of the beautiful planet we live on, an inviting home for man and for all forms of life. This distant view on television evoked for the first time an active, loving response from many people who had hitherto supposed that modern technics would soon replace Mother Earth with a more perfect, scientifically organized, electronically controlled habitat, and who took for granted that this would be an improvement. Note that the moon rocket is itself necessarily a megastructure: so it naturally calls forth such vulgar imitations as the accompanying bureaucratic obelisk (office building) of similar dimensions, shown here (left). Both forms exhibit the essentially archaic and regressive nature of the science-fiction mind.
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Lewis Mumford (The Pentagon of Power (The Myth of the Machine, Vol 2))
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Look,” she told me one day in a Millsport coffeehouse. “Shopping—actual, physical shopping—could have been phased out centuries ago if they’d wanted it that way.” “They who?” “People. Society.” She waved a hand impatiently. “Whoever. They had the capacity back then. Mail order, virtual supermarkets, automated debiting systems. It could have been done and it never happened. What does that tell you?” At twenty-two years old, a Marine Corps grunt via the street gangs of Newpest, it told me nothing. Carlyle took in my blank look and sighed. “It tells you that people like shopping. That it satisfies a basic, acquisitive need at a genetic level. Something we inherited from our hunter-gatherer ancestors. Oh, you’ve got automated convenience shopping for basic household items, mechanical food distribution systems for the marginalized poor. But you’ve also got a massive proliferation of commercial hives and speciality markets in food and crafts that people physically have to go to. Now why would they do that, if they didn’t enjoy it?” I probably shrugged, maintaining my youthful cool. “Shopping is physical interaction, exercise of decision-making capacity, sating of the desire to acquire, and an impulse to more acquisition, a scouting urge. It’s so basically fucking human when you think about it. You’ve got to learn to love it, Tak. I mean you can cross the whole archipelago on a hover; you never even need to get wet. But that doesn’t take the basic pleasure out of swimming, does it? Learn to shop well, Tak. Get flexible. Enjoy the uncertainty.
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Richard K. Morgan (Altered Carbon (Takeshi Kovacs, #1))
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By now, though, it had been a steep learning curve, he was fairly well versed on the basics of how clearing worked: When a customer bought shares in a stock on Robinhood — say, GameStop — at a specific price, the order was first sent to Robinhood's in-house clearing brokerage, who in turn bundled the trade to a market maker for execution. The trade was then brought to a clearinghouse, who oversaw the trade all the way to the settlement.
During this time period, the trade itself needed to be 'insured' against anything that might go wrong, such as some sort of systemic collapse or a default by either party — although in reality, in regulated markets, this seemed extremely unlikely. While the customer's money was temporarily put aside, essentially in an untouchable safe, for the two days it took for the clearing agency to verify that both parties were able to provide what they had agreed upon — the brokerage house, Robinhood — had to insure the deal with a deposit; money of its own, separate from the money that the customer had provided, that could be used to guarantee the value of the trade. In financial parlance, this 'collateral' was known as VAR — or value at risk.
For a single trade of a simple asset, it would have been relatively easy to know how much the brokerage would need to deposit to insure the situation; the risk of something going wrong would be small, and the total value would be simple to calculate. If GME was trading at $400 a share and a customer wanted ten shares, there was $4000 at risk, plus or minus some nominal amount due to minute vagaries in market fluctuations during the two-day period before settlement. In such a simple situation, Robinhood might be asked to put up $4000 and change — in addition to the $4000 of the customer's buy order, which remained locked in the safe.
The deposit requirement calculation grew more complicated as layers were added onto the trading situation. A single trade had low inherent risk; multiplied to millions of trades, the risk profile began to change. The more volatile the stock — in price and/or volume — the riskier a buy or sell became.
Of course, the NSCC did not make these calculations by hand; they used sophisticated algorithms to digest the numerous inputs coming in from the trade — type of equity, volume, current volatility, where it fit into a brokerage's portfolio as a whole — and spit out a 'recommendation' of what sort of deposit would protect the trade. And this process was entirely automated; the brokerage house would continually run its trading activity through the federal clearing system and would receive its updated deposit requirements as often as every fifteen minutes while the market was open. Premarket during a trading week, that number would come in at 5:11 a.m. East Coast time, usually right as Jim, in Orlando, was finishing his morning coffee. Robinhood would then have until 10:00 a.m. to satisfy the deposit requirement for the upcoming day of trading — or risk being in default, which could lead to an immediate shutdown of all operations.
Usually, the deposit requirement was tied closely to the actual dollars being 'spent' on the trades; a near equal number of buys and sells in a brokerage house's trading profile lowered its overall risk, and though volatility was common, especially in the past half-decade, even a two-day settlement period came with an acceptable level of confidence that nobody would fail to deliver on their trades.
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Ben Mezrich (The Antisocial Network: The GameStop Short Squeeze and the Ragtag Group of Amateur Traders That Brought Wall Street to Its Knees)
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The future of the labor market as we know it is contingent on many different things. It is by and large an iterative process in which we may only know the true outcome by repeated evaluations and followups of each implemented change and/or innovation. Therefore, securing a system of necessary checks-and-balances will be of paramount importance to ensure a successful digital transformation.
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Anthony Larsson (The Digital Transformation of Labor: Automation, the Gig Economy and Welfare (Routledge Studies in Labour Economics))
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For a well-defined, standard, and stable process involving hand-offs between people and systems, it is preferable to use a smart workflow platform. Such platforms offer pre-developed modules. These are ready-to-use automation programs customized by industry and by business function (e.g., onboarding of clients in retail banking). In addition, they are modular. For example, a module might include a form for client data collection, and another module might support an approval workflow. In addition, these modules can be linked to external systems and databases using connectors, such as application programming interfaces (APIs), which enable resilient data connectivity. Hence, with smart workflows, there is no need to develop bespoke internal and external data bridges. This integration creates a system with high resiliency and integrity. In addition, the standardization by industry and function of these platforms, combined with the low-code functionality, helps to accelerate the implementation.
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Pascal Bornet (INTELLIGENT AUTOMATION: Learn how to harness Artificial Intelligence to boost business & make our world more human)
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There are no ready-to-use modules with RPA. Most of the development is bespoke, and all process flows need to be built almost from scratch. The connections also need to be constructed. This results in a more flexible design and implementation of the programs developed, which can fit with more specific business requirements. The key advantage of RPA is that it allows the creation of automation programs that can involve legacy systems (e.g., those which can’t use APIs) or address non-standard requirements (e.g., onboarding of clients for a broker insurance company under Singapore regulations). However, with RPA, the lack of native integration amongst the components has weaknesses. For example, it involves less robustness, weaker data integrity, and lower resilience to process changes. If one part of an RPA program fails, the whole end-to-end process is stopped. As an outcome, based on our experience, the leading practice is to use low-code and smart workflow platforms as a foundation of the overall automation platform. In contrast, RPA is used for any integration of the overall platform with legacy systems or for automation of bespoke processes.
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Pascal Bornet (INTELLIGENT AUTOMATION: Learn how to harness Artificial Intelligence to boost business & make our world more human)
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a comprehensive view of homeostasis must include the application of the concept to systems in which conscious and deliberative minds, individually and in social groups, can both interfere with automatic regulatory mechanisms and create new forms of life regulation that have the very same goal of basic automated homeostasis, that is, achieving viable, upregulated life states that tend to produce flourishing. I see the effort of constructing human cultures as a manifestation of this variety of homeostasis.
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António Damásio (The Strange Order of Things: Life, Feeling, and the Making of the Cultural Mind)
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engage in development tasks, because the service basically runs and repairs itself: we want systems that are automatic, not just automated. In practice, scale and new features keep SREs on their toes.
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Betsy Beyer (Site Reliability Engineering: How Google Runs Production Systems)
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To explain how a dApp works, we’ll use an example from the company Etherisc, which created a dApp for flight insurance to a well-known Ethereum conference. This flight insurance was purchased by 31 of the attendees.23 Figure 5.1 shows a simplified diagram. Using Ethereum, developers can mimic insurance pools with strings of conditional transactions. Open sourcing this process and running it on top of Ethereum’s world computer allows everyday investors to put their capital in an insurance pool to earn returns from the purchasers of insurance premiums that are looking for coverage from certain events. Everyone trusts the system because it runs in the open and is automated by code.
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Chris Burniske (Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond)
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Bitcoin is not a smart network. Bitcoin is a dumb network. It really is a dumb network. It is a dumb transaction-processing network. It’s a dumb network for verifying a very simple scripting language. It doesn’t offer a complete range of financial services and products. It doesn’t have automation and incredible features built in. Bitcoin is simply a dumb network, and that is one of its strongest and most important features. When you design networks, when you architect network systems, one of the most fundamental choices is this: do you make a dumb network that supports smart devices, or do you make a smart network that supports dumb devices? 5.1.1. The Smart Network - Phones The phone network was a very smart network. The telephone at the end of that network was a very dumb device. If you had a pulse-dialing phone, that thing had maybe four electronic components inside it. It was basically a switch on a wire with a speaker attached to it. You could dial by flicking the hook up and down fast enough.
The phone was a dumb device; it had no intelligence whatsoever. Everything the phone network did was in the network. Caller ID was a network feature. Call waiting was a network feature. And if you wanted to make the experience better, you had to upgrade the network but you didn’t need to upgrade the device. That was a critical design decision because, at that time, the belief was that smart networks were better because you could deliver these incredible services just by upgrading the network for everyone. There is one small disadvantage with smart networks. They have to be upgraded from the center out. And that means innovation occurs at the center, by one player, and requires permission. As a result of smart network design, innovation only happens when a feature is needed by all of the subscribers of the network, when it is compelling enough to disrupt the function of the entire network to upgrade it. 5.1.2. The Dumb Network - Internet The internet is a dumb network. It’s dumb as rocks. All it can do is move data from point A to point B. It doesn’t know what that data is. It can’t tell the difference between a Skype call and a web page. It doesn’t know if the device on the end is a desktop computer or a mobile phone, a vacuum cleaner, a refrigerator, or a car. It doesn’t know if that device is powerful or not. If it can do multimedia or not. It doesn’t know, it doesn’t care. In order to run a new application or innovate on a dumb network, all you have to do is add innovation at the edge. Because a dumb network can support smart devices, you don’t need to change anything in the network. If you push intelligence to the edge of the network, an application that only has five users can be implemented so long as those five users upgrade their devices to implement that application. The dumb network will transport their data because it doesn’t know the difference and it doesn’t care. 5.1.3. Bitcoin’s Dumb Network Bitcoin is a dumb network supporting really smart devices, and that is an incredibly powerful concept because bitcoin pushes all of the intelligence to the edge. It doesn’t care if the bitcoin address is the address of a multimillionaire, the address of a central bank, the address of a smart contract, the address of a device, or the address of a human. It doesn’t know. It doesn’t care if the transaction is carrying lots of money or not much money at all. It doesn’t care if the address is in Kuala Lumpur or downtown New York. It doesn’t know, it doesn’t care. It moves money from one address to another based on a simple locking script. And that means that if you want to build a new application on top of bitcoin, you can upgrade the
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Andreas M. Antonopoulos (The Internet of Money)
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Acceptance testing relies on the ability to execute automated tests in a productionlike environment. However, a vital property of such a test environment is that it is able to successfully support automated testing. Automated acceptance testing is not the same as user acceptance testing. One of the differences is that automated acceptance tests should not run in an environment that includes integration to all external systems. Instead, your acceptance testing should be focused on providing a controllable environment in which the system under test can be run. “Controllable” in this context means that you are able to create the correct initial state for our tests. Integrating with real external systems removes our ability to do this.
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Jez Humble (Continuous delivery)
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Along the lines of our society, every one of us must "do his job" according to certain rules imposed on us by ever-working machineries. The production and consumption of goods have acquired a sort of "automatic" character. No one can escape the fatality which is the result of this automation. Our life, then, even our most intimate life, is completely conditioned by social and economic necessities which are alien to ourselves and which we nevertheless accept as the true expression of ourselves. Our work, our pleasures, even our love and hatred are dominated by these all-pervading forces which are beyond our control.
Thus, our own life does not belong to us. We appear to be in the most direct contact with the world around us, but in reality the vast machinery of our society permits us to perceive the world only through generally accepted views. The directness of our contact with the world is of the same symbolic character as the concepts we use to understand it. We can comprehend how our whole social and economic system, which we term Capitalism, and which is, in its origins, closely connected to modern ideal of knowledge and science, has acquired such symbolic reality.
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Jacob Klein (Lectures and Essays)
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4. When to use RPA versus smart workflow platforms? These technologies can be used interchangeably. The leading practice is to use smart workflow and low-code platforms as a foundation of the overall automation platform. RPA is used when IA needs to be integrated with legacy systems or automation of bespoke processes.
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Pascal Bornet (INTELLIGENT AUTOMATION: Learn how to harness Artificial Intelligence to boost business & make our world more human)
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As an outcome, based on our experience, the leading practice is to use low-code and smart workflow platforms as a foundation of the overall automation platform. In contrast, RPA is used for any integration of the overall platform with legacy systems or for automation of bespoke processes.
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Pascal Bornet (INTELLIGENT AUTOMATION: Learn how to harness Artificial Intelligence to boost business & make our world more human)
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The talent required within the CoE is wide and ranges from business and operations excellence to risk and IT departments. According to McKinsey’s survey, the CoE of top-performing companies includes a large variety of profiles such as delivery managers, data scientists, data engineers, workflow integrators, system architects, developers, and, most critically, translators and business analysts.152 A
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Pascal Bornet (INTELLIGENT AUTOMATION: Learn how to harness Artificial Intelligence to boost business & make our world more human)
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Step by Step…
Can you write out your ideal business step by step
Here is a business I am setting up for a client.
She wants to shipping start her own shipping company…
One she will need a US partner to collect and transfer packages to her in Jamaica.
She will also need one in China.
I have two contacts.
One has a warehouse in Florida
The other has two in China.
Chinese connect makes goods available within 3 weeks, she has to tell her customers four.
The US connect makes it within 3-5 days. She has to tell them within a week…
Next she will need a website where her customers can login and track their packages.
This will come with individual dashboards.
She will need an interface and warehouse management software and logistics APIs.
She will also need an automated email set up (journey) to send emails to her customers without her or her agents needing to do that.
Without this Saas she would have to hire someone to reply to messages and emails about , someone to call and track, use usps and FedEx tracking numbers to track and reply back to customers.
She also needs a beta ApI to allow her warehouse guy to update the CRM with information about her customers packages…
Key nodes such as - Intransit to destinations
Held at customs
Clearance
In transit to store
Pick up available etc…
These will come in as email notifications
Fully automated.
Everything will be connected using Webhooks… entire system.
Saas she might need to use a combination of GOhighlevel, Workiz and
To run this as a System as as Service.
Each platform can work together using webhooks.
Gohighlevel as a Saas is $500 a month
Workiz is $200 dollars
She can use Odoo which is open source alternative as a CRM
And Clickup as Management.
This is how a conversational business plan looks.
You can see it.
You can research it.
You can confirm that it’s plausible.
It doesn’t sound like pipedreams.
It sounds workable to credit companies /banks and investors.
It sounds doable to a BDO Client.
I also sound as if I know what I am doing.
Not a lot of technical language.
A confused prospective business investor or banker don’t want to use a dictionary to figure out everything…
They want to see the vision as clear as day.
You basically need to do to them what I did to you when you joined my programme. It must sound plausible.
All businesses is a game of wit.
Every deal that is signed benefits both party.
Whether initially or in the long term.
Those are the sub-tenets of business.
Every board meeting or meeting with regulatory boards, banks, credit facilities, municipalities is a game of convincing people to see your thing through…
Everyone does
Algorithm is simple. People want you to solve their problems with speed and efficiency.
Speed is very important and automation.
Progress, business and production are tied to ego… that’s why people love seh oh dem start a business or dem have dem online business and nah sell one rass thing.
Cause a lot of people think being successful and looking successful are one and the same thing until they meet someone like me or people who done the work…
Don’t rush it… you are young and you have time.
There are infact certain little nuances Weh yuh only ago learn through experience. Experience and reflection.
One of the drawbacks of wanting to run your business by yourself with you and your family members is that you guys will have to be reliant on yourself for feedback which is not alw
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Crystal Evans
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Event Rental Systems provides software for party rental and bounce house companies. ERS offers web-based software packages that allow bounce house rental businesses to run on near auto-pilot. The goal of the software is to boost sales while automating and digitizing all tasks related to a party rental business.
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Event Rental Systems
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We are Google Cloud Premier Partners who help small businesses with their IT infrastructure and digital footprint. We offer clients a better way of growing their business through technology and innovative strategies. Our proven methods help clients to build a strong digital footprint, which helps to both automate day-to-day systems and supercharge the way they do business.
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Lingows
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The Anthropocene is an 'Entropocene', that is, a period in which entropy is produced on a massive scale, thanks precisely to the fact that what has been liquidated and automated is knowledge, so that in fact it is no longer knowledge at all, but rather a set of closed systems, that is, entropic systems. Knowledge is an open system: it always includes a capacity for disautomatization that produces negentropy.
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Bernard Stiegler (The Neganthropocene (Critical Climate Chaos))
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ABOUT MATIYAS
We are an enthusiastic and energetic establishment dedicated to bringing automation and transforming business processes digitally. We understand the value of technological advancements for increasing productivity and enhancing quality, and our in-house teams of dedicated professionals offer various services to achieve this objective effectively. Matiyas digital solutions help to streamline manufacturing business functions, increase profitability, automating efforts and increase the quality of production.
Our Customized manufacturing digital solutions can assist you to address all the hurdles that occur during the manufacturing process. You can have complete control over the manufacturing process by handling inventory management and supply chain management effectively. At Matiyas, we are committed to bringing digital transformation in manufacturing through advanced solutions and excellent services
Matiyas is providing industry 4.0 digital solutions to:
• Oil & Gas
• Cement Manufacturing
• Electronics Manufacturing
• Industrial Machinery and Equipment
• Steel Manufacturing
• Plastic Manufacturing
• Packaging Manufacturing
• Power Plants
• Pharmaceutical
• Fast Moving Consumer Goods (FMCG)
• Medical Devices Industry
• EPC
Our digital solutions empower the manufacturers to closely supervise each and every stage of the manufacturing process and gives the absolute control over it, as a result you observe an ample reduction in wastage and material exchange possibilities which not only improves production quality but quantity too.
We understand the major problems manufacturing businesses come across and we tailor best manufacturing digital solutions accordingly.
HOW OUR MANUFACTURING DIGITAL SOLUTIONS CAN BENEFIT YOUR ORGANIZATION?
Increased ROI Reduced Operational Costs & Optimize Operations Enhanced Resource Utilization & Reduced Overheads Deeper insights about your supply chains & production Improved Agility, Higher productivity Easier Collaboration Accountability and transparency And Many More ....
Matiyas Digital Solutions: Inventory Management, Procurement Management, Selling Management, Production Management, Retail POS Management, Manufacturing Management, Project Management, Customer Relationship Management, Accounting & Finance Management, Human Capital Management, Assets Management, Quality Management, Ecommerce, Website, Hospital Management Information System HMIS, Education Management and many more…
Matiyas Offices: India, Oman, Kuwait, Canada, UAE, Armenia, Africa, Egypt
Interested to Automate and Collaborate Effectively Through Our Custom Digital Solutions?
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Customized Manufacturing ERP Solutions Bringing Automation. Enhancing Productivity.
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the roughly $800 billion in available stimulus, we directed more than $90 billion toward clean energy initiatives across the country. Within a year, an Iowa Maytag plant I’d visited during the campaign that had been shuttered because of the recession was humming again, with workers producing state-of-the-art wind turbines. We funded construction of one of the world’s largest wind farms. We underwrote the development of new battery storage systems and primed the market for electric and hybrid trucks, buses, and cars. We financed programs to make buildings and businesses more energy efficient, and collaborated with Treasury to temporarily convert the existing federal clean energy tax credit into a direct-payments program. Within the Department of Energy, we used Recovery Act money to launch the Advanced Research Projects Agency–Energy (ARPA-E), a high-risk, high-reward research program modeled after DARPA, the famous Defense Department effort launched after Sputnik that helped develop not only advanced weapons systems like stealth technology but also an early iteration of the internet, automated voice activation, and GPS.
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Barack Obama (A Promised Land)
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As you finish your training, the "Push to Stop" automated braking system may bring the bike to a halt promptly, preventing harm. These indoor bike caged pedals protect your foot from slipping as you work out. You may move the equipment with the help of the front transportation wheels. The triangular construction is highly loaded for stability and strength, and it can support up to 100kg of user weight. With the tension adjustment, you may change the intensity of your workout.
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ActivefitnessStore
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No one thanks you for shaving, no one thanks you for democracy. Now we’ve come out the other side. Democracy was only possible under a class system, that’s why: it was an indulgence granted by the privileged. We haven’t time for it any more: a flash of light between feudalism and automation, and now it’s gone. What’s left? The voters are cut off from parliament, parliament
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John Le Carré (A Small Town in Germany)
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Pharmaceutical Product Exporters in Ahmedabad
India’s Leading Exporters of Quality Pharmaceutical Formulations in India. We offer Pharmaceutical Drug Formulation and Pharmaceutical Marketers.
Research Pvt. Ltd. is top manufacturing the anti-infective Tablets. We have a wide range of pharmaceutical product exporters in Ahmedabad India.
ERPL is one of the fastest growing pharmaceutical manufacturing company in India. Spread over 1,47,500 sq. ft. acres, this modernized manufacturing plant with ultra-modern facility is set up in North Indian State of Uttarakhand.
The facilities are approved by cGMP, WHO-GMP, GLP, ISO 9001:2000 and other global regulatory bodies.
ERPL has carved out a distinct place of its own in manufacturing of best quality pharmaceutical products. Our success is the mirror of the hard work and team spirit put up the excellence of the professionalism by our dedicated Directors to excel and concurred new horizons with the motive of “Commit to Quality and Customer Satisfaction”
Manufacturing Facility
Installed with latest technology, automated manufacturing and packing operation and best practices, ensuring the highest quality of healthcare.
• Commitment and zero compromise on quality
• Follow up WHO-GMP, CGMP and GLP
• Instrument Lab
• Primary Area
• Analytical Lab
• Production process
• Quality Management system
• Process and products design, Evolution & Validation of process.
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Esmero
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Mass reporting a common tool to try to make the legitimate sites belonging to targets of online abuse vanish as many systems our automated to react to a large volume of reports. Law-enforcement agencies and government bodies like the IRS have online reporting systems that can also be manipulated this way by a mob.
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Zoe Quinn (Crash Override: How Gamergate (Nearly) Destroyed My Life, and How We Can Win the Fight Against Online Hate)
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BSK Data & Electrical Pty Ltd is a licensed electrical company that services commercial and residential customers for all their electrical needs. From LED Lighting upgrades, intercom systems, electronic gate automation, wall mounted TV bracket systems and just about any other data or electrical need you might have.
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BSK Data and Electrical Pty Ltd
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That’s because automating your money will be the single most profitable system you ever build.
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Ramit Sethi (I Will Teach You to Be Rich: No Guilt. No Excuses. No B.S. Just a 6-Week Program That Works.)
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Are you intelligent?” I asked. I am equipped with a natural language processor and other systems to understand questions and comments and to provide answers, which often gives the appearance of intelligence, especially when connected to larger computer networks. Brain Pal™ systems, however, are not natively intelligent. For example, this is an automated response. This question is asked frequently.
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John Scalzi (Old Man's War (Old Man's War, #1))
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The archipelagic nature of the Philippines posed a number of difficulties in the monitoring and implementation of Build, Build, Build projects.
How do we monitor 20,000 projects simultaneously in a country composed of roughly 7,640 islands? How do we get rid of ghost projects? How do we minimize discretion at DPWH?
Secretary Mark Villar was adamant to find a solution, one that was progressive, forward thinking, and feasible. First, he introduced an automated monitoring system called the Infra-Track App, which utilizes geo-tagging, satellite technology, and drone monitoring. “ - Anna Mae Yu Lamentillo , Night Owl: A Nationbuilder’s Manual 2nd Edition (p. 174, Build, Build, Build Projects MIMAROPA)
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Anna Mae Yu Lamentillo
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Dahil isang arkipelagong bansa ang Pilipinas, mas nagiging mahirap ang pagsubaybay at pagpapatupad ng mga proyektong Build, Build, Build. Paano nga ba epektibong masusubaybayan ang 20,000 proyekto nang sabay-sabay sa isang bansang binubuo ng humigit-kumulang 7,640 isla?
Paano natin maaalis ang mga ghost project at mga pagpapasyang lihis sa mga itinakdang alituntunin sa ahensiya?
Desidido si Secretary Mark Villar na humanap ng mga solusyon na progresibo at posibleng maisakatuparan. Ipinakilala niya ang isang automated monitoring system na tinatawag na Infra-Track App, na gumagamit ng geo-tagging, satellite technology, at drone monitoring.” - Night Owl: Edisyong Filipino (p. 174, Proyektong Build, Build, Build MIMAROPA)
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Anna Mae Yu Lamentillo
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Which company is best for using construction Project work?
The Shree Siva Balaaji Steels project is a significant endeavor that encompasses the establishment and operation of a modern and advanced steel manufacturing facility. This project represents a fusion of innovation, cutting-edge technology, and industrial expertise, aimed at delivering high-quality steel products to meet the growing demands of various sectors.
Key Features:
State-of-the-Art Manufacturing Plant: The project involves the construction and operation of a state-of-the-art manufacturing plant equipped with the latest machinery, automation systems, and environmentally friendly processes. This allows for efficient production and reduced environmental impact.
Diverse Product Range: Shree Siva Balaaji Steels aims to offer a diverse range of steel products to cater to different industries such as construction, automotive, infrastructure, and manufacturing. This versatility enables the company to meet the varying needs of clients and partners.
Quality Assurance: A cornerstone of the project is its commitment to delivering high-quality steel products. The facility adheres to strict quality control measures and follows international standards to ensure that the end products are durable, reliable, and meet or exceed industry specifications.
Sustainability Focus: The project places a strong emphasis on sustainability and environmentally conscious practices. Energy-efficient processes, recycling initiatives, and waste reduction strategies are integrated into the manufacturing process to minimize the ecological footprint.
Employment Opportunities: Shree Siva Balaaji Steels contributes to local economies by creating employment opportunities across various skill levels, from skilled labor to technical experts. This helps stimulate economic growth in the region surrounding the manufacturing facility.
Collaboration and Partnerships: The project fosters collaborations with suppliers, distributors, and clients, establishing strong relationships within the steel industry. This network facilitates efficient supply chain management and enables the company to provide tailored solutions to its customers.
Innovation and Research: The project invests in research and development to constantly improve manufacturing processes, product quality, and the development of new steel products. This dedication to innovation positions the company at the forefront of the steel industry.
Community Engagement: Shree Siva Balaaji Steels is committed to engaging with local communities and implementing corporate social responsibility initiatives. These efforts include supporting education, healthcare, and other community-centric projects, fostering goodwill and positive impact.
Vision:
The Shree Siva Balaaji Steels project envisions becoming a leading name in the steel manufacturing sector, renowned for its exceptional quality, technological innovation, and sustainability practices. By adhering to its core values of integrity, excellence, and environmental responsibility, the project strives to contribute positively to the industry and the communities it operates within.
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shree sivabalaaji steels
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A wildly successful business is a business where: Customers chase you, and not the other way around. Predictability and consistency generate new leads, clients, and revenue. You speak only to highly-qualified prospects you can actually help. You have an automated lead-generation system that delivers new customers on demand with minimal human effort. You focus only on the Highly Leveraged Activities that produce revenue.
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Sabri Suby (SELL LIKE CRAZY: How to Get As Many Clients, Customers and Sales As You Can Possibly Handle)
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The scale shift of labour composition from the nineteenth to the twentieth centuries affected also the logic of automation, that is, the scientific paradigms involved in this transformation. The relatively simple industrial division of labour and its seemingly rectilinear assembly lines could easily be compared to a simple algorithm, a rulebased procedure with an ‘if/then’ structure which has its equivalent in the logical form of deduction. Deduction, not by coincidence, is the logical form that via Leibniz, Babbage, Shannon, and Turing innervated into electromechanical computation and eventually symbolic AI. Deductive logic is useful for modelling simple processes, but not systems with a multitude of autonomous agents, such as society, the market, or the brain.
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Matteo Pasquinelli (The Eye of the Master: A Social History of Artificial Intelligence)
“
What is Directed Energy Deposition in 3D Printing
Directed Energy Deposition (DED) is a term that encompasses technologies involving semi-automated powder spraying and wire welding for manufacturing. When applied to 3D shapes, DED is considered an additive manufacturing process. It typically results in a rougher surface compared to Powder Bed Fusion, due to the larger bead sizes and coarser powder used, which often necessitates additional machining.
DED systems generally fall into two categories: deposition systems and hybrid systems that combine a DED head with traditional machining equipment. The main advantages of DED include faster deposition compared to powder bed fusion 3D printing and the ability to create functionally graded material structures, especially when using powder. Additionally, since the feedstock and energy source move together, DED systems can manufacture very large structures, unrestricted by the size limitations of a build box. In some cases, DED can be more effective than traditional manufacturing methods or powder bed fusion.
Most DED systems consist of a deposition head that uses either wire or powder and is mounted on a robot or CNC system. Common energy sources include Arc, Laser, or Electron Beam, with lasers being the most frequently used for powder feedstock. The process involves offline programming to generate a tool path from a sliced CAD file. The motion system then follows this path, depositing material in layers to build the desired shape. DED is compatible with a variety of weldable alloys, such as aluminum, steel, nickel, and titanium. Depending on the chosen alloy and process, shielding gas may be applied locally or within an enclosed environment.
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Locanam 3D Printing
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In his speeches in the 1950s, Shannon seemed to make the point that he was not necessarily interested in automated machines per se. He was interested in how machines interact with other machines (as in the telephone switching system) and how they interact with human operators (as in a chess machine). In the latter instance, there was a psychological aspect that seemed curious to him: “We hope that research in the design of game playing machines will lead to insights in the manner of operation of the human brain.
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Jon Gertner (The Idea Factory: Bell Labs and the Great Age of American Innovation)
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Unable to expand and generate profits at past levels, the capitalist system would begin to consume the structures that sustained it. It would prey upon, in the name of austerity, the working class and the poor, driving them ever deeper into debt and poverty and diminishing the capacity of the state to serve the basic needs of ordinary citizens. It would, as it has, increasingly automate or relocate jobs, including both manufacturing and professional positions, to countries with cheap pools of laborers. This would trigger an economic assault on not only the working class but the middle class—the bulwark of a capitalist democracy—that would be disguised by massive personal debt as incomes declined or remained stagnant and borrowing soared.
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Chris Hedges (America: The Farewell Tour)