Automation Is The Future Quotes

I would say, then, that you are faced with a future in which education is going to be number one amongst the great world industries.

Today, when routine cognitive tasks are digitized and automated, and multiple lifetimes worth of information are accessible at our fingertips (much of which rapidly becomes obsolete), the focus of education must shift.

increasing automation accompanied by social ruin. We must make the market serve humanity rather than have humanity continue to serve the market.

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.

Maybe the existential risk is not machines taking over the world, but rather the opposite, where humans start responding like idle machines - unable to connect the emerging dots of our UN-VICE world.

acquiring more education and skills will not necessarily offer effective protection against job automation

A true revolution of values will soon look uneasily on the glaring contrast of poverty and wealth. With righteous indignation, it will look at thousands of working people displaced from their jobs with reduced incomes as a result of automation while the profits of the employers remain intact, and say: “This is not just.” It will look across the oceans and see individual capitalists of the West investing huge sums of money in Asia, Africa and South America, only to take the profits out with no concern for the social betterment of the countries, and say: “This is not just.” It will look at our alliance with the landed gentry of Latin America and say: “This is not just.” The Western arrogance of feeling that it has everything to teach others and nothing to learn from them is not just. A true revolution of values will lay hands on the world order and say of war: “This way of settling differences is not just.” This business of burning human beings with napalm, of filling our nation’s homes with orphans and widows, of injecting poisonous drugs of hate into the veins of peoples normally humane, of sending men home from dark and bloody battlefields physically handicapped and psychologically deranged cannot be reconciled with wisdom, justice and love. A nation that continues year after year to spend more money on military defense than on programs of social uplift is approaching spiritual death. America, the richest and most powerful nation in the world, can well lead the way in this revolution of values. There is nothing to prevent us from paying adequate wages to schoolteachers, social workers and other servants of the public to insure that we have the best available personnel in these positions which are charged with the responsibility of guiding our future generations. There is nothing but a lack of social vision to prevent us from paying an adequate wage to every American citizen whether he be a hospital worker, laundry worker, maid or day laborer. There is nothing except shortsightedness to prevent us from guaranteeing an annual minimum—and livable—income for every American family. There is nothing, except a tragic death wish, to prevent us from reordering our priorities, so that the pursuit of peace will take precedence over the pursuit of war. There is nothing to keep us from remolding a recalcitrant status quo with bruised hands until we have fashioned it into a brotherhood.

a great many college-educated, white-collar workers are going to discover that their jobs, too, are squarely in the sights as software automation and predictive algorithms advance rapidly in capability.

If automating everything makes people lazier and lazier, and laziness leads to stupidity, which it does for most people, judging by the current content circulating the social networks everywhere, except North Korea, where they don’t have any internet to speak of - at some point the Japanese robots, for which a market niche is currently being developed, with no concerns on how they should be designed to act in society or outside it - will have no choice, but to take everything over, to preserve us from ourselves…

Indeed, a 2013 study by Carl Benedikt Frey and Michael A. Osborne at the University of Oxford concluded that occupations amounting to nearly half of US total employment may be vulnerable to automation within roughly the next two decades.59

I’m encouraging mine to go into professions that machines are currently bad at, and therefore seem unlikely to get automated in the near future. Recent forecasts for when various jobs will get taken over by machines identify several useful questions to ask about a career before deciding to educate oneself for it. 48 For example: • Does it require interacting with people and using social intelligence? • Does it involve creativity and coming up with clever solutions? • Does it require working in an unpredictable environment?

The logic of the meritocracy is leading us to ruin, because we are collectively primed to ignore the voices of the millions getting pushed into economic distress by the grinding wheels of automation and innovation. We figure they’re complaining or suffering because they’re losers.

Automation technologies have proved useful with regard to pandemic preparedness and response, but they can also be useful in building resilience against future shocks. Moving the automation agenda forward will be critical to creating more robust and resilient societies and achieving the sustainable development goals.

As we begin to internalize the technological kingdoms we have built, as we progressively become more superhuman, what will differentiate us from machinery?

automation technology so efficient that it is competitive with even the lowest-wage offshore workers.

chickens are grown to standardized sizes so as to make them compatible with automated slaughtering and processing.

Digital disruption and the impact of coronavirus will bring the 2030 technological advancement earlier than predicted

Automation is what most professionals have in mind when they think of the relevance of technology for their disciplines.

This automation therefore complements but does not fundamentally change the central way in which services are delivered.

Thanks to technology, we now have access to the entirety of human knowledge from a device that fits in our pocket. The internet is humanity's greatest gift.

The turnaround is being driven by automation technology so efficient that it is competitive with even the lowest-wage offshore workers.

WorkFusion, a start-up company based in the New York City area, offers an especially vivid example of the dramatic impact that white-collar automation is likely to have on organizations. The

Many California farmers have transitioned from delicate crops like tomatoes to more robust nuts because they can be harvested mechanically. Overall agricultural employment in California fell by about 11 percent in the first decade of the twenty-first century, even as the total production of crops like almonds, which are compatible with automated farming techniques, has exploded.

One way of saving on energy use would be to do away with unnecessary transportation. For instance, people commute between work and home, or travel long distances to engage in business conferences. With the development of improved communications and increasing automation, it will become possible in the not-too-distant future, for people to control and maintain business operations and machinery at a distance.

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.

We are young,beautiful scum,pissed off with the world…We are the suicide of the non-generation.We are as far away from anything in the 80s as possible, e.g. 80s' pop automation, the long running saga of the whimsical pop essay and the intrinsic musical sculptures of post-modernism…We are the only young kids in UK Channel Boredom to realise the future is in tight trousers, dyed hair and NOT the baggy loose attitude scum fuck retard zerodom of Madchester

a way to get around the country’s rigid labor laws that limit the hours employees can work, by automating a metal stamping factory so that it could run twenty-four hours per day instead of sixteen hours like the factories of rivals.

Indeed, a 2013 study by Carl Benedikt Frey and Michael A. Osborne at the University of Oxford concluded that occupations amounting to nearly half of US total employment may be vulnerable to automation within roughly the next two decades.

Sending e-mails and texts is an automated version of writing letters, whereas social networking is an innovative technology, by which we mean, in this context, that it gives rise to ways of communicating that were not possible in the past.

In no sense are the robot dogs, automated vacuum cleaners and old-folks lifting machines just examples of yet another consumer society with nothing meaningful left to spend its disposable income on. No, robots are the future. They have been for generations.

While lower-skill occupations will no doubt continue to be affected, a great many college-educated, white-collar workers are going to discover that their jobs, too, are squarely in the sights as software automation and predictive algorithms advance rapidly in capability.

From 2007 to 2009, I was stationed at the US Embassy in Geneva as one of the rare technologists deployed under diplomatic cover, tasked with bringing the CIA into the future by bringing its European stations online, digitizing and automating the network by which the US government spied.

Homo sapiens have explored many ages: the Stone Age, the Bronze Age, the Iron Age and, as of late, the Industrial Age, of which we have only tried for a couple hundred years. Before we seemingly dive headfirst into a Digital, Automated or Artificial Age, we are in desperate need of an Age of Reflection.

More data leads to better AI (artificial intelligence), more automation leads to greater efficiency, more usage leads to reduced cost, and more free time leads to greater productivity. All of these will grow into a mutually reinforcing virtuous circle that will continually and rapidly increase the adoption of AV (autonomous vehicles).

Undesirable work is fully automated, as employers feel increasing pressure to automate because labor is no longer too cheap. The reasoning here is that, as I argued in the last chapter, one of the things holding back full automation of the economy isn’t that the technical solutions are lacking, it’s that wages are so low that it’s cheaper to hire humans than to buy machines.

Mainstream economists have for generations made the same argument about the supposed danger that automation poses to labor. If some jobs are automated, they argue, labor is freed up for other, new, and perhaps better kinds of work. They point to agriculture, which once occupied most of the workforce but now occupies only about 2 percent of it in a country like the United States.

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.

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.

advances in AI are poised to drive dramatic productivity increases and perhaps eventually full automation. Radiologists, for example, are trained to interpret the images that result from various medical scans. Image processing and recognition technology is advancing rapidly and may soon be able to usurp the radiologist’s traditional role. Software can already recognize people in photos posted on Facebook and even help identify potential terrorists in airports.

In the medium term, AI may automate our jobs, to bring both great prosperity and equality. Looking further ahead, there are no fundamental limits to what can be achieved. There is no physical law precluding particles from being organised in ways that perform even more advanced computations than the arrangements of particles in human brains. An explosive transition is possible, although it may play out differently than in the movies. As mathematician Irving Good realised in 1965, machines with superhuman intelligence could repeatedly improve their design even further, in what science-fiction writer Vernor Vinge called a technological singularity. One can imagine such technology outsmarting financial markets, out-inventing human researchers, out-manipulating human leaders and potentially subduing us with weapons we cannot even understand. Whereas the short-term impact of AI depends on who controls it, the long-term impact depends on whether it can be controlled at all.

The process of decision making and projecting a future in which one future among many can be selected depends less and less on human will. We may call it the paradox of the decider: as the circulation of information becomes faster and more complex, the time available for the elaboration of relevant information becomes shorter. The more space taken by the available information, the less time there is for understanding and conscious choice. This is why the interdependence between data and decisions is more and more embedded in infomachinery, in technolinguistic interfaces. This is why the execution of the program is entrusted to automated procedures that human operators can neither change nor ignore. The machine pretends to be neutral, purely mathematical, but we know that its procedures are only the technical reification of social interests: profit, accumulation, competition—these are the criteria underlying the automatic procedures embedded in the machine. Human volition is reduced to a procedural pretense.

The great danger posed by the automation of production, in the context of a world of hierarchy and scarce resources, is that it makes the great mass of people superfluous from the standpoint of the ruling elite. This is in contrast to capitalism, where the antagonism between capital and labor was characterized by both a clash of interests and a relationship of mutual dependence: the workers depend on capitalists as long as they don’t control the means of production themselves, while the capitalists need workers to run their factories and shops.

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.

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.

It’s hard to believe you’d have an economy at all if you gave pink slips to more than half the labor force. But that—in slow motion—is what the industrial revolution did to the workforce of the early 19th century. Two hundred years ago, 70 percent of American workers lived on the farm. Today automation has eliminated all but 1 percent of their jobs, replacing them (and their work animals) with machines. But the displaced workers did not sit idle. Instead, automation created hundreds of millions of jobs in entirely new fields. Those who once farmed were now manning the legions of factories that churned out farm equipment, cars, and other industrial products. Since then, wave upon wave of new occupations have arrived—appliance repair person, offset printer, food chemist, photographer, web designer—each building on previous automation. Today, the vast majority of us are doing jobs that no farmer from the 1800s could have imagined.

Work must be refused and reduced, building our synthetic freedom in the process.136 As we have set out in this chapter, achieving this will require the realisation of four minimal demands: 1.Full automation 2.The reduction of the working week 3.The provision of a basic income 4.The diminishment of the work ethic While each of these proposals can be taken as an individual goal in itself, their real power is expressed when they are advanced as an integrated programme. This is not a simple, marginal reform, but an entirely new hegemonic formation to compete against the neoliberal and social democratic options. The demand for full automation amplifies the possibility of reducing the working week and heightens the need for a universal basic income. A reduction in the working week helps produce a sustainable economy and leverage class power. And a universal basic income amplifies the potential to reduce the working week and expand class power.

Imagine that seven out of ten working Americans got fired tomorrow. What would they all do? It’s hard to believe you’d have an economy at all if you gave pink slips to more than half the labor force. But that—in slow motion—is what the industrial revolution did to the workforce of the early 19th century. Two hundred years ago, 70 percent of American workers lived on the farm. Today automation has eliminated all but 1 percent of their jobs, replacing them (and their work animals) with machines. But the displaced workers did not sit idle. Instead, automation created hundreds of millions of jobs in entirely new fields. Those who once farmed were now manning the legions of factories that churned out farm equipment, cars, and other industrial products. Since then, wave upon wave of new occupations have arrived—appliance repair person, offset printer, food chemist, photographer, web designer—each building on previous automation. Today, the vast majority of us are doing jobs that no farmer from the 1800s could have imagined. It

Gadgetry will continue to relieve mankind of tedious jobs. Kitchen units will be devised that will prepare ‘automeals,’ heating water and converting it to coffee; toasting bread; frying, poaching or scrambling eggs, grilling bacon, and so on. Breakfasts will be ‘ordered’ the night before to be ready by a specified hour the next morning. Communications will become sight-sound and you will see as well as hear the person you telephone. The screen can be used not only to see the people you call but also for studying documents and photographs and reading passages from books. Synchronous satellites, hovering in space will make it possible for you to direct-dial any spot on earth, including the weather stations in Antarctica. [M]en will continue to withdraw from nature in order to create an environment that will suit them better. By 2014, electroluminescent panels will be in common use. Ceilings and walls will glow softly, and in a variety of colors that will change at the touch of a push button. Robots will neither be common nor very good in 2014, but they will be in existence. The appliances of 2014 will have no electric cords, of course, for they will be powered by long- lived batteries running on radioisotopes. “[H]ighways … in the more advanced sections of the world will have passed their peak in 2014; there will be increasing emphasis on transportation that makes the least possible contact with the surface. There will be aircraft, of course, but even ground travel will increasingly take to the air a foot or two off the ground. [V]ehicles with ‘Robot-brains’ … can be set for particular destinations … that will then proceed there without interference by the slow reflexes of a human driver. [W]all screens will have replaced the ordinary set; but transparent cubes will be making their appearance in which three-dimensional viewing will be possible. [T]he world population will be 6,500,000,000 and the population of the United States will be 350,000,000. All earth will be a single choked Manhattan by A.D. 2450 and society will collapse long before that! There will, therefore, be a worldwide propaganda drive in favor of birth control by rational and humane methods and, by 2014, it will undoubtedly have taken serious effect. Ordinary agriculture will keep up with great difficulty and there will be ‘farms’ turning to the more efficient micro-organisms. Processed yeast and algae products will be available in a variety of flavors. The world of A.D. 2014 will have few routine jobs that cannot be done better by some machine than by any human being. Mankind will therefore have become largely a race of machine tenders. Schools will have to be oriented in this direction…. All the high-school students will be taught the fundamentals of computer technology will become proficient in binary arithmetic and will be trained to perfection in the use of the computer languages that will have developed out of those like the contemporary “Fortran". [M]ankind will suffer badly from the disease of boredom, a disease spreading more widely each year and growing in intensity. This will have serious mental, emotional and sociological consequences, and I dare say that psychiatry will be far and away the most important medical specialty in 2014. [T]he most glorious single word in the vocabulary will have become work! in our a society of enforced leisure.

A LITTLE KNOWLEDGE CAN GO A LONG WAY A LOT OF PROFESSIONALS ARE CRACKPOTS A MAN CAN'T KNOW WHAT IT'S LIKE TO BE A MOTHER A NAME MEANS A LOT JUST BY ITSELF A POSITIVE ATTITUDE MAKES ALL THE DIFFERENCE IN THE WORLD A RELAXED MAN IS NOT NECESSARILY A BETTER MAN A SENSE OF TIMING IS THE MARK OF GENIUS A SINCERE EFFORT IS ALL YOU CAN ASK A SINGLE EVENT CAN HAVE INFINITELY MANY INTERPRETATIONS A SOLID HOME BASE BUILDS A SENSE OF SELF A STRONG SENSE OF DUTY IMPRISONS YOU ABSOLUTE SUBMISSION CAN BE A FORM OF FREEDOM ABSTRACTION IS A TYPE OF DECADENCE ABUSE OF POWER COMES AS NO SURPRISE ACTION CAUSES MORE TROUBLE THAN THOUGHT ALIENATION PRODUCES ECCENTRICS OR REVOLUTIONARIES ALL THINGS ARE DELICATELY INTERCONNECTED AMBITION IS JUST AS DANGEROUS AS COMPLACENCY AMBIVALENCE CAN RUIN YOUR LIFE AN ELITE IS INEVITABLE ANGER OR HATE CAN BE A USEFUL MOTIVATING FORCE ANIMALISM IS PERFECTLY HEALTHY ANY SURPLUS IS IMMORAL ANYTHING IS A LEGITIMATE AREA OF INVESTIGATION ARTIFICIAL DESIRES ARE DESPOILING THE EARTH AT TIMES INACTIVITY IS PREFERABLE TO MINDLESS FUNCTIONING AT TIMES YOUR UNCONSCIOUS IS TRUER THAN YOUR CONSCIOUS MIND AUTOMATION IS DEADLY AWFUL PUNISHMENT AWAITS REALLY BAD PEOPLE BAD INTENTIONS CAN YIELD GOOD RESULTS BEING ALONE WITH YOURSELF IS INCREASINGLY UNPOPULAR BEING HAPPY IS MORE IMPORTANT THAN ANYTHING ELSE BEING JUDGMENTAL IS A SIGN OF LIFE BEING SURE OF YOURSELF MEANS YOU'RE A FOOL BELIEVING IN REBIRTH IS THE SAME AS ADMITTING DEFEAT BOREDOM MAKES YOU DO CRAZY THINGS CALM IS MORE CONDUCIVE TO CREATIVITY THAN IS ANXIETY CATEGORIZING FEAR IS CALMING CHANGE IS VALUABLE WHEN THE OPPRESSED BECOME TYRANTS CHASING THE NEW IS DANGEROUS TO SOCIETY CHILDREN ARE THE HOPE OF THE FUTURE CHILDREN ARE THE MOST CRUEL OF ALL CLASS ACTION IS A NICE IDEA WITH NO SUBSTANCE CLASS STRUCTURE IS AS ARTIFICIAL AS PLASTIC CONFUSING YOURSELF IS A WAY TO STAY HONEST CRIME AGAINST PROPERTY IS RELATIVELY UNIMPORTANT DECADENCE CAN BE AN END IN ITSELF DECENCY IS A RELATIVE THING DEPENDENCE CAN BE A MEAL TICKET DESCRIPTION IS MORE VALUABLE THAN METAPHOR DEVIANTS ARE SACRIFICED TO INCREASE GROUP SOLIDARITY DISGUST IS THE APPROPRIATE RESPONSE TO MOST SITUATIONS DISORGANIZATION IS A KIND OF ANESTHESIA DON'T PLACE TOO MUCH TRUST IN EXPERTS DRAMA OFTEN OBSCURES THE REAL ISSUES DREAMING WHILE AWAKE IS A FRIGHTENING CONTRADICTION DYING AND COMING BACK GIVES YOU CONSIDERABLE PERSPECTIVE DYING SHOULD BE AS EASY AS FALLING OFF A LOG EATING TOO MUCH IS CRIMINAL ELABORATION IS A FORM OF POLLUTION EMOTIONAL RESPONSES ARE AS VALUABLE AS INTELLECTUAL RESPONSES ENJOY YOURSELF BECAUSE YOU CAN'T CHANGE ANYTHING ANYWAY ENSURE THAT YOUR LIFE STAYS IN FLUX EVEN YOUR FAMILY CAN BETRAY YOU EVERY ACHIEVEMENT REQUIRES A SACRIFICE EVERYONE'S WORK IS EQUALLY IMPORTANT EVERYTHING THAT'S INTERESTING IS NEW EXCEPTIONAL PEOPLE DESERVE SPECIAL CONCESSIONS EXPIRING FOR LOVE IS BEAUTIFUL BUT STUPID EXPRESSING ANGER IS NECESSARY EXTREME BEHAVIOR HAS ITS BASIS IN PATHOLOGICAL PSYCHOLOGY EXTREME SELF-CONSCIOUSNESS LEADS TO PERVERSION FAITHFULNESS IS A SOCIAL NOT A BIOLOGICAL LAW FAKE OR REAL INDIFFERENCE IS A POWERFUL PERSONAL WEAPON FATHERS OFTEN USE TOO MUCH FORCE FEAR IS THE GREATEST INCAPACITATOR FREEDOM IS A LUXURY NOT A NECESSITY GIVING FREE REIN TO YOUR EMOTIONS IS AN HONEST WAY TO LIVE GO ALL OUT IN ROMANCE AND LET THE CHIPS FALL WHERE THEY MAY GOING WITH THE FLOW IS SOOTHING BUT RISKY GOOD DEEDS EVENTUALLY ARE REWARDED GOVERNMENT IS A BURDEN ON THE PEOPLE GRASS ROOTS AGITATION IS THE ONLY HOPE

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HOW TO CREATE A GOOD HABIT The 1st Law: Make It Obvious 1.1: Fill out the Habits Scorecard. Write down your current habits to become aware of them. 1.2: Use implementation intentions: “I will [BEHAVIOR] at [TIME] in [LOCATION].” 1.3: Use habit stacking: “After I [CURRENT HABIT], I will [NEW HABIT].” 1.4: Design your environment. Make the cues of good habits obvious and visible. The 2nd Law:Make It Attractive 2.1: Use temptation bundling. Pair an action you want to do with an action you need to do. 2.2: Join a culture where your desired behavior is the normal behavior. 2.3: Create a motivation ritual. Do something you enjoy immediately before a difficult habit. The 3rd Law: Make It Easy 3.1: Reduce friction. Decrease the number of steps between you and your good habits. 3.2: Prime the environment. Prepare your environment to make future actions easier. 3.3: Master the decisive moment. Optimize the small choices that deliver outsized impact. 3.4: Use the Two-Minute Rule. Downscale your habits until they can be done in two minutes or less. 3.5: Automate your habits. Invest in technology and onetime purchases that lock in future behavior. The 4th Law: Make It Satisfying 4.1: Use reinforcement. Give yourself an immediate reward when you complete your habit. 4.2: Make “doing nothing” enjoyable. When avoiding a bad habit, design a way to see the benefits. 4.3: Use a habit tracker. Keep track of your habit streak and “don’t break the chain.” 4.4: Never miss twice. When you forget to do a habit, make sure you get back on track immediately. HOW TO BREAK A BAD HABIT Inversion of the 1st Law: Make It Invisible 1.5: Reduce exposure. Remove the cues of your bad habits from your environment. Inversion of the 2nd Law: Make It Unattractive 2.4: Reframe your mind-set. Highlight the benefits of avoiding your bad habits. Inversion of the 3rd Law: Make It Difficult 3.6: Increase friction. Increase the number of steps between you and your bad habits. 3.7: Use a commitment device. Restrict your future choices to the ones that benefit you. Inversion of the 4th Law: Make It Unsatisfying 4.5: Get an accountability partner. Ask someone to watch your behavior. 4.6: Create a habit contract. Make the costs of your bad habits public and painful.

It describes a significantly different way of life. For instance, the Manuscript predicts that we humans will voluntarily decrease our population so that we all may live in the most powerful and beautiful places on the Earth. But remarkably, many more of these areas will exist in the future, because we will intentionally let the forests go uncut so that they can mature and build energy. “According to the Ninth Insight, by the middle of the next millennium,” he continued, “humans will typically live among five hundred year old trees and carefully tended gardens, yet within easy travel distance of an urban area of incredible technological wizardry. By then, the means of survival—foodstuffs and clothing and transportation—will all be totally automated and at everyone’s disposal. Our needs will be completely met without the exchange of any currency, yet also without any overindulgence or laziness. “Guided by their intuitions, everyone will know precisely what to do and when to do it, and this will fit harmoniously with the actions of others. No one will consume excessively because we will have let go of the need to possess and to control for security. In the next millennium, life will have become about something else. “According to the Manuscript,” he went on, “our sense of purpose will be satisfied by the thrill of our own evolution—by the elation of receiving intuitions and then watching closely as our destinies unfold. The Ninth depicts a human world where everyone has slowed down and become more alert, ever vigilant for the next meaningful encounter that comes along. We will know that it could occur anywhere: on a path that winds through a forest, for instance, or on a bridge that traverses some canyon. “Can you visualize human encounters that have this much meaning and significance? Think how it would be for two people meeting for the first time. Each will first observe the other’s energy field, exposing any manipulations. Once clear, they will consciously share life stories until, elatedly, messages are discovered. Afterward, each will go forward again on their individual journey, but they will be significantly altered. They will vibrate at a new level and will thereafter touch others in a way not possible before their meeting.

Some of these bots are already arriving in 2021 in more primitive forms. Recently, when I was in quarantine at home in Beijing, all of my e-commerce packages and food were delivered by a robot in my apartment complex. The package would be placed on a sturdy, wheeled creature resembling R2-D2. It could wirelessly summon the elevator, navigate autonomously to my door, and then call my phone to announce its arrival, so I could take the package, after which it would return to reception. Fully autonomous door-to-door delivery vans are also being tested in Silicon Valley. By 2041, end-to-end delivery should be pervasive, with autonomous forklifts moving items in the warehouse, drones and autonomous vehicles delivering the boxes to the apartment complex, and the R2-D2 bot delivering the package to each home. Similarly, some restaurants now use robotic waiters to reduce human contact. These are not humanoid robots, but autonomous trays-on-wheels that deliver your order to your table. Robot servers today are both gimmicks and safety measures, but tomorrow they may be a normal part of table service for many restaurants, apart from the highest-end establishments or places that cater to tourists, where the human service is integral to the restaurant’s charm. Robots can be used in hotels (to clean and to deliver laundry, suitcases, and room service), offices (as receptionists, guards, and cleaning staff), stores (to clean floors and organize shelves), and information outlets (to answer questions and give directions at airports, hotels, and offices). In-home robots will go beyond the Roomba. Robots can wash dishes (not like a dishwasher, but as an autonomous machine in which you can pile all the greasy pots, utensils, and plates without removing leftover food, with all of them emerging cleaned, disinfected, dried, and organized). Robots can cook—not like a humanoid chef, but like an automated food processor connected to a self-cooking pot. Ingredients go in and the cooked dish comes out. All of these technology components exist now—and will be fine-tuned and integrated in the decade to come. So be patient. Wait for robotics to be perfected and for costs to go down. The commercial and subsequently personal applications will follow. By 2041, it’s not far-fetched to say that you may be living a lot more like the Jetsons!

It felt like fate when I first encountered the automated trading system that promised to transform small investments into substantial wealth over time. The marketing was aggressive, bombarding my social media feeds with images of people lounging on exotic beaches, driving fancy cars, and celebrating their newfound financial freedom. WhatsApp info:+12723328343 As a recent college graduate struggling to make ends meet, I was desperate for a way out of my financial rut, and the allure of easy money was too tempting to ignore. On a whim, I decided to take the plunge. I borrowed from my meager savings and even took out a small loan to fund my excitement. The rush I felt when signing up was like nothing I had ever experienced—an intoxicating thrill, like hopping onto a rollercoaster at full speed. At first, everything seemed to be going exactly as promised. My investment seemed to grow almost overnight, doubling and tripling in value.  My skepticism began to fade, replaced by a sense of confidence and hope for the future. I even shared my success with friends and family, excitedly telling them about the platform that was going to change my life. I imagined a future free from financial worries, a life of luxury and freedom, all thanks to this “revolutionary” trading system. But soon, a familiar sense of unease began to settle in. What had been an impressive surge in profits suddenly plateaued, and I found myself facing unexpected hurdles when trying to withdraw my funds. Pop-up messages about my “account needing an upgrade” and “market tightening” explained away the issues, but the discomfort grew. Still, I convinced myself that success required patience and continued to hold out hope that the system would recover. As weeks turned into months, my investment continued to dwindle. The once-promising account balance plummeted, and each attempt to reach customer support went unanswered. The promises of easy wealth had turned into an unsettling nightmare. Email info: Adwarerecoveryspecialist@auctioneer. net Desperate for answers, I began scouring the internet for any information or advice. That’s when I stumbled across reviews of ADWARE RECOVERY SPECIALIST , a service that seemed to specialize in helping people like me recover lost funds from fraudulent platforms. I felt a glimmer of hope as I read about others who had managed to retrieve their investments with the help of ADWARE RECOVERY SPECIALIST. Perhaps, after all, there was still a way out of this mess. I reached out to their team, and to my relief, they were able to assist me in recovering a portion of the money I thought I had lost for good. ADWARE RECOVERY SPECIALIST gave me the guidance and support I needed to navigate this complicated process, helping me regain control of a situation that had seemed hopeless. Their professionalism and expertise allowed me to salvage what I could, and for that, I am incredibly grateful.

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.

The sixth wave will no doubt affect many industries, processes, and occupations, but many will remain largely untouched, at least in terms of automation: education, healthcare, sports and law-making for example. Artificial intelligence won’t replace doctors in the near future, but it will help them make better diagnoses and treatment decisions.

When working in your favor, automation can make your good habits inevitable and your bad habits impossible. It is the ultimate way to lock in future behavior rather than relying on willpower in the moment. By utilizing commitment devices, strategic onetime decisions, and technology, you can create an environment of inevitability—a space where good habits are not just an outcome you hope for but an outcome that is virtually guaranteed.

You cannot automate something until you’ve done it manually many times. Control all of the factors and show technology cuts costs. Remember, for many legacy companies, information technology is only a cost center. They only adopted the code. You were born in it, molded by it. A full-stack entrant into a new vertical is formidably protean. You can morph your product just by hitting keys. Tesla’s over-the-air updates for its cars are a fantastic example.

Aren’t fears of disappearing jobs something that people claim periodically, like with both the agricultural and industrial revolution, and it’s always wrong?” It’s true that agriculture went from 40 percent of the workforce in 1900 to 2 percent in 2017 and we nonetheless managed to both grow more food and create many wondrous new jobs during that time. It’s also true that service-sector jobs multiplied in many unforeseen ways and absorbed most of the workforce after the Industrial Revolution. People sounded the alarm of automation destroying jobs in the 19th century—the Luddites destroying textile mills in England being the most famous—as well as in the 1920s and the 1960s, and they’ve always been wildly off the mark. Betting against new jobs has been completely ill-founded at every point in the past. So why is this time different? Essentially, the technology in question is more diverse and being implemented more broadly over a larger number of economic sectors at a faster pace than during any previous time. The advent of big farms, tractors, factories, assembly lines, and personal computers, while each a very big deal for the labor market, were orders of magnitude less revolutionary than advancements like artificial intelligence, machine learning, self-driving vehicles, advanced robotics, smartphones, drones, 3D printing, virtual and augmented reality, the Internet of things, genomics, digital currencies, and nanotechnology. These changes affect a multitude of industries that each employ millions of people. The speed, breadth, impact, and nature of the changes are considerably more dramatic than anything that has come before.

I call instrumentarianism. Instrumentarian power knows and shapes human behavior toward others’ ends. Instead of armaments and armies, it works its will through the automated medium of an increasingly ubiquitous computational architecture of “smart” networked devices, things, and spaces.

But what aren't you doing already? What more can you possibly do?’ ‘I guess he means the team stuff’, I said. ‘The bonding. The camaraderie I've never really been –‘. ‘Don't start judging yourself’, she said sharply. ‘Don't start seeing yourself in the light of those kinds of standards.’ ‘No, but it's true. There's always been the part of work I've struggled with, the unquestioning side. The feeling of joining in. I've always tried to do it at this kind of remove. Maybe what he's saying is –‘ ‘Of course you've done it at a remove. How else are you supposed to do it and still be you?’ ‘But maybe those days are gone’, I said. ‘Maybe I have to accept that. Maybe there just won't be those kind of jobs anymore - the ones where you can roll out of bed and staggering without speaking to anyone and keep your head down and just do it, you know? maybe this is what work is, now’ […] ‘Definitely. Simple tasks can be automated. They've already almost got the machine learning to do what you do. It's about what else a human can bring to the table, which is, literally, their humanity.’ It was possible, I realised, to imagine. A semi-global future in which the bulk of paid human employment would revolve not around hard skills, but around the messy, blurry business of interpersonal success. A new divide would open up, between the well liked, The easy to get along with, and the awkward, The rude, the unfriendly. I pictured the encampment on which I had lived, filled not as it was then, with migrants, unfortunates, hard drinkers, the out of luck. But instead, the abrasive, the poorly adjusted, the excessively reserved and painfully shy. (p.136-7)

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Consider that, since 2005, the online platform Kiva has already been crowdfunding micro loans to entrepreneurs in many developing countries around the world. By early 2021, it had arranged about $1.5 billion in loans from nearly two million lenders (who can put up as little as $25) to about four million borrowers in seventy-seven countries. The total value of loans is small, but Kiva’s screening and monitoring technologies are not automated and seem antiquated compared with those of newer Fintech lending platforms, which have far greater potential for such matching of borrowers and lenders.

Pierce was thinking about the New York fair around the same time that a modest display of Bell Labs innovations was being demonstrated at Seattle’s Century 21 Exposition, which was being marked by the construction of a huge “space needle” on the city’s fairgrounds. At the Seattle fair visitors could ride a monorail to a Bell exhibit intimating a future of startling convenience: phones with speedy touch-tone buttons (which would soon replace dials), direct long-distance calling (which would soon replace operators), and rapid electronic switching (which would soon be powered by transistors). A visitor could also try something called a portable “pager,” a big, blocky device that could alert doctors and other busy professionals when they received urgent calls.2 New York’s fair would dwarf Seattle’s. The crowds were expected to be immense—probably somewhere around 50 or 60 million people in total. Pierce and David’s 1961 memo recommended a number of exhibits: “personal hand-carried telephones,” “business letters in machine-readable form, transmitted by wire,” “information retrieval from a distant computer-automated library,” and “satellite and space communications.” By the time the fair opened in April 1964, though, the Bell System exhibits, housed in a huge white cantilevered building nicknamed the “floating wing,” described a more conservative future than the one Pierce and David had envisioned.

I read a post on Palestinian Refugee ResearchNet’s blog claiming that Facebook was blocking the term “Palestinian” from being used in page titles. The post included a screenshot of an attempt to create a page called “Palestinian Refugee ResearchNet,” with a warning splashed across the top that read: “Our automated system will not allow the name ‘Palestinian Refugee ResearchNet.’ It may violate our Pages Guidelines or contain a word or phrase that is blocked to prevent the creation of unofficial or otherwise prohibited Pages. If you believe this is an error, please contact our Customer Support team.” The blogger, Rex Brynen, tested several similar titles, replacing “Palestinian” with “Israeli” and “Afghan.” Both worked, so he wrote to the support team.

Hope has then also effectively been automated and even been digitalised.

the technical ignorance of elected politicians who are hardly credible in providing oversight or contemplating regulation; profound disagreements about what we value and how trade-offs should be made, whether in regard to data privacy, free speech, and content moderation or automation and the future of work; the slow, painstaking consideration of legislation that seems to generate competing bills—so that everyone has his or her name on one—without generating significant progress, especially in a highly polarized political environment; and the strong status quo bias of democratic institutions, which means that policy change is slow and sticky, making it difficult for regulators to respond flexibly and adaptably to new developments in technology.

Remember, that only people that will have job security in the future are those who have multiple skill-sets that CANNOT be automated and have a direct impact on the company’s profitability.

Instead of having a lengthy integration and qualification cycle, an agile process makes it part of the ongoing development process. This shift is accomplished through approaches like continuous integration/delivery, sprints with complete requirements, test-driven design, and automated testing. All this is put in place so that when customers think they have enough of the capabilities ready, the code is close to being ready to deploy.

Personal Thinking Blockchains More speculatively for the farther future, the notion of blockchain technology as the automated accounting ledger, the quantized-level tracking device, could be extensible to yet another category of record keeping and administration. There could be “personal thinking chains” as a life-logging storage and backup mechanism. The concept is “blockchain technology + in vivo personal connectome” to encode and make useful in a standardized compressed data format all of a person’s thinking. The data could be captured via intracortical recordings, consumer EEGs, brain/computer interfaces, cognitive nanorobots, and other methodologies. Thus, thinking could be instantiated in a blockchain — and really all of an individual’s subjective experience, possibly eventually consciousness, especially if it’s more precisely defined. After they’re on the blockchain, the various components could be administered and transacted — for example, in the case of a post-stroke memory restoration. Just as there has not been a good model with the appropriate privacy and reward systems that the blockchain offers for the public sharing of health data and quantified-self-tracking data, likewise there has not been a model or means of sharing mental performance data. In the case of mental performance data, there is even more stigma attached to sharing personal data, but these kinds of “life-streaming + blockchain technology” models could facilitate a number of ways to share data privately, safely, and remuneratively. As mentioned, in the vein of life logging, there could be personal thinking blockchains to capture and safely encode all of an individual’s mental performance, emotions, and subjective experiences onto the blockchain, at minimum for backup and to pass on to one’s heirs as a historical record. Personal mindfile blockchains could be like a next generation of Fitbit or Apple’s iHealth on the iPhone 6, which now automatically captures 200+ health metrics and sends them to the cloud for data aggregation and imputation into actionable recommendations. Similarly, personal thinking blockchains could be easily and securely recorded (assuming all of the usual privacy concerns with blockchain technology are addressed) and mental performance recommendations made to individuals through services such as Siri or Amazon’s Alexa voice assistant, perhaps piped seamlessly through personal brain/computer interfaces and delivered as both conscious and unconscious suggestions. Again perhaps speculatively verging on science fiction, ultimately the whole of a society’s history might include not just a public records and document repository, and an Internet archive of all digital activity, but also the mindfiles of individuals. Mindfiles could include the recording of every “transaction” in the sense of capturing every thought and emotion of every entity, human and machine, encoding and archiving this activity into life-logging blockchains.

Indeed, in many agricultural regions — including northern China, southern India (as well as the Punjab), Mexico, the western United States, parts of the Middle East, and elsewhere — water may be much more of a constraint to future food production than land, crop yield potential, or most other factors. Developing and distributing technologies and practices that improve water management is critical to sustaining the food production capability we now have, much less increasing it for the future. Water-short Israel is a front-runner in making its agricultural economy more water-efficient. Its current agricultural output could probably not have been achieved without steady advances in water management — including highly efficient drip irrigation, automated systems that apply water only when crops need it, and the setting of water allocations based on predetermined optimum water applications for each crop. The nation’s success is notable: between 1951 and 1990, Israeli farmers reduced the amount of water applied to each hectare of cropland by 36 percent. This allowed the irrigated area to more than triple with only a doubling of irrigation water use.37 Whether

Algorithmic profits Algorithmic marketing is allowing companies to do things they couldn’t do before, and some early signs show it can deliver big value, especially in financial or information services. In North America, Amazon.com grew 30 to 40 percent, quarter after quarter, throughout the United States’ 2008-2012 recession, while other major retailers shrank or went out of business. From 2006 to 2010, Amazon spent 5.6 percent of its sales revenue on IT, while rivals Target and Best Buy spent 1.3% and 0.5%, respectively. That investment and focus has yielded increasingly sophisticated recommendation engines that deliver over 35 percent of all sales, an automated e-mail/customer service systems (90 percent are automated, versus 44 percent for the average retailer) that are a key component of its best-in-class customer satisfaction, and dynamic pricing systems that crawl the Web and react to competitor pricing and stock levels by altering prices on Amazon.com, in some cases every 15 seconds.

In a 2016 book widely publicized in the US, Stern claimed that 58 per cent of all jobs would be automated eventually, driven by the ethos of shareholder value. He told the American media group Bloomberg, ‘It’s not like the fall of the auto and steel industries. That hit just a sector of the country. This will be widespread. People will realize that we don’t have a storm anymore; we have a tsunami.’16 Nevertheless, there are reasons to be sceptical about the prospect of a jobless or even workless future. It is the latest version of the ‘lump of labour fallacy’, the idea that there is only a certain amount of labour and work to be done, so that if more of it can be automated or done by intelligent robots, human workers will be rendered redundant. In any case, very few jobs can be automated in their entirety. The suggestion in a much-cited study17 that nearly half of all US jobs are vulnerable to automation has been challenged by, among others, the OECD, which puts the figure of jobs ‘at risk’ at 9 per cent for industrialized countries.18

Banking App Usage among Millennials.” South Africa placed #1 for users aged 21-24 years who are using banking / financial

If we can figure out how to grow our prosperity through automation without leaving people lacking income or purpose, then we have the potential to create a fantastic future with leisure and unprecedented opulence for everyone who wants it.

Concurrent with the decline of manufacturing, the latter half of the twentieth century oversaw another shift. While earlier office technologies had supplemented workers and increased demand for them, the development of the microprocessor and computing technologies began to replace semiskilled service workers in many areas – for example, telephone operators and secretaries.20 The roboticisation of services is now gathering steam, with over 150,000 professional service robots sold in the past fifteen years.21 Under particular threat have been ‘routine’ jobs – jobs that can be codified into a series of steps. These are tasks that computers are perfectly suited to accomplish once a programmer has created the appropriate software, leading to a drastic reduction in the numbers of routine manual and cognitive jobs over the past four decades.22 The result has been a polarisation of the labour market, since many middle-wage, mid-skilled jobs are routine, and therefore subject to automation.23 Across both North America and Western Europe, the labour market is now characterised by a predominance of workers in low-skilled, low-wage manual and service jobs (for example, fast-food, retail, transport, hospitality and warehouse workers), along with a smaller number of workers in high-skilled, high-wage, non-routine cognitive jobs.24

About ten years ago, while visiting Japan, I toured a Toyota car manufacturing plant that was able to produce five hundred cars per day with only four hundred employees because of automation. I thought to myself, ‘Imagine if you could take this automation and productivity out of the factory and put it into our everyday lives?’ I believe this will increase our global economy by orders of magnitude in the decades ahead.

While many futurists and business leaders believe that robots and automation are taking jobs from humans, I believe that it's the humans who are takin the jobs away from robots.

To date, there is no strong empirical support for claims that automating medical record keeping will lead to major reductions in health-care costs or significant improvements in the well-being of patients. But if doctors and patients have seen few benefits from the scramble to automate record keeping, the companies that supply the systems have profited. Cerner Corporation, a medical software outfit, saw its revenues triple, from $1 billion to $3 billion, between 2005 and 2013. Cerner, as it happens, was one of five corporations that provided RAND with funding for the original 2005 study. The other sponsors, which included General Electric and Hewlett Packard, also have substantial business interests in health-care automation. As today’s flawed systems are replaced or upgraded in the future, to fix their interoperability problems and other shortcomings, information technology companies will reap further windfalls.

A widely quoted study from the Oxford Martin School predicts that technology threatens to replace 47 percent of all US jobs within 20 years. One of Pew experts even foresees the advent of “robotic sex partners.’’ The world’s oldest profession may be no more. When all this happens, what, exactly, will people do? Half of those in the Pew report are relatively unconcerned, believing — as has happened in the past — that even as technology destroys jobs, it creates more new ones. But half are deeply worried, fearing burgeoning unemployment, a growing schism between the highly educated and everyone else, and potentially massive social dislocation. (The fact that Pew’s experts are evenly split also exposes one of the truths of prognostication: A coin flip might work just as well.) Much of this debate over more or fewer jobs misses a key element, one brought up by some of those surveyed by Pew: These are primarily political issues; what happens is up to us. If lower-skilled jobs are no more, the solution, quite obviously, is training and education. Moreover, the coming world of increasingly ubiquitous robotics has the potential for significant increases in productivity. Picture, for instance, an entirely automated farm, with self-replicating and self-repairing machines planting, fertilizing, harvesting, and delivering. Food wouldn’t be free, but it could become so cheap that, like water (Detroit excepted), it’s essentially available to everyone for an almost nominal cost. It’s a welfare state, of course, but at some point, with machines able to produce the basic necessities of life, why not? We’d have a world of less drudgery and more leisure. People would spend more time doing what they want to do rather than what they have to do. It might even cause us to rethink what it means to be human. Robots will allow us to use our “intelligence in new ways, freeing us up from menial tasks,’’ says Tiffany Shlain, host of AOL’s “The Future Starts Here.’’ Just as Lennon hoped and Star Trek predicted.

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In surrendering unconditionally to the power system, with its 'automation of automation,' modern man has forfeited some of the inner resources necessary to keep him alive: above all, animal faith in his own capacity to survive and to reproduce his kind, biologically, historically, and culturally. In the act of dismissing the past he has undermined his faith in the future; for it is only by their convergence in his present consciousness that he can preserve continuity through change and embrace change without forfeiting continuity. This and nothing less is the 'way of life.

Social networks like Facebook seem impelled by a similar aspiration. Through the statistical "discovery" of potential friends, the provision of "Like" buttons and other clickable tokens of affection, and the automated management of many of the time-consuming aspects of personal relations, they seek to streamline the messy process of affiliation. Facebook's founder, Mark Zuckerberg, celebrates all of this as "frictionless sharing"--the removal of conscious effort from socializing. But there's something repugnant about applying the bureaucratic ideals of speed, productivity, and standardization to our relations with others. The most meaningful bonds aren't forged through transactions in a marketplace or other routinized exchanges of data. People aren't notes on a network grid. The bonds require trust and courtesy and sacrifice, all of which, at least to a technocrat's mind, are sources of inefficiency and inconvenience. Removing the friction from social attachments doesn't strengthen them; it weakens them. It makes them more like the attachments between consumers and products--easily formed and just as easily broken. Like meddlesome parents who never let their kids do anything on their own, Google, Facebook, and other makers of personal software end up demeaning and diminishing qualities of character that, at least in the past, have been seen as essential to a full and vigorous life: ingenuity, curiosity, independence, perseverance, daring. It may be that in the future we'll only experience such virtues vicariously, though the exploits of action figures like John Marston in the fantasy worlds we enter through screens.

Under particular threat have been ‘routine’ jobs – jobs that can be codified into a series of steps. These are tasks that computers are perfectly suited to accomplish once a programmer has created the appropriate software, leading to a drastic reduction in the numbers of routine manual and cognitive jobs over the past four decades.22 The result has been a polarisation of the labour market, since many middle-wage, mid-skilled jobs are routine, and therefore subject to automation.23 Across both North America and Western Europe, the labour market is now characterised by a predominance of workers in low-skilled, low-wage manual and service jobs (for example, fast-food, retail, transport, hospitality and warehouse workers), along with a smaller number of workers in high-skilled, high-wage, non-routine cognitive jobs.24

While full automation of the economy is presented here as an ideal and a demand, in practice it is unlikely to be fully achieved.45 In certain spheres, human labour is likely to continue for technical, economic and ethical reasons.

There is one are of work that should be mentioned here, referred to as 'automatic theorem proving'. One set of procedures that would come under this heading consists of fixing some formal system H, and trying to derive theorems within this system. We recall, from 2.9, that it would be an entirely computational matter to provide proofs of all the theorems of H one after the other. This kind of thing can be automated, but if done without further thought or insight, such an operation would be likely to be immensely inefficient. However, with the employment of such insight in the setting up of the computational procedures, some quite impressive results have been obtained. In one of these schemes (Chou 1988), the rules of Euclidean geometry have been translated into a very effective system for proving (and sometimes discovering) geometrical theorems. As an example of one of these, a geometrical proposition known as V. Thebault's conjecture, which had been proposed in 1938 (and only rather recently proved, by K.B. Taylor in 1983), was presented to the system and solved in 44 hours' computing time. More closely analogous to the procedures discussed in the previous sections are attempts by various people over the past 10 years or so to provide 'artificial intelligence' procedures for mathematical 'understanding'. I hope it is clear from the arguments that I have given, that whatever these systems do achieve, what they do not do is obtain any actual mathematical understanding! Somewhat related to this are attempts to find automatic theorem-generating systems, where the system is set up to find theorems that are regarded as 'interesting'-according to certain criteria that the computational system is provided with. I do think that it would be generally accepted that nothing of very great actual mathematical interest has yet come out of these attempts. Of course, it would be argued that these are early days yet, and perhaps one may expect something much more exciting to come out of them in the future. However, it should be clear to anyone who has read this far, that I myself regard the entire enterprise as unlikely to lead to much that is genuinely positive, except to emphasize what such systems do not achieve.

More specifically, it would be useful for bank robbers like Art and Bud to have automated psychological programs that make them care about individuals with whom they have cooperative futures.

If you are going to use automated testing and Continuous Integration (CI) to dramatically improve your productivity, you need to treat your testing investments as being at least as important, or even more important, than your development investments, which is a big cultural change for most organizations. In

In The Inhuman... Lyotard, like Weber, reminds us of the distinction between technological development and 'human' progress. He argues, in particular, that the development of technology, or 'techno-science', is driven by the quest for maximum efficiency and performance, and as such leads to the emergence of new 'inhuman' (technological) forms of control rather than to the emancipation of 'humanity'. Lyotard reasserts the instrumental nature of the modern system, arguing that 'All technology ... is an artefact allowing its users to stock more information, to improve their competence and optimize their performances'. In this view, techno-science may be seen to stand against all instances of the unknown, including the aporia of the future anterior, and thus to have little respect for forms which are different or other to itself. This is compounded by the fact that technological development is intimately connected to the drive for profit. Lyotard proposes that this directs the production of knowledge and conditions the nature of knowledge itself, for information, itself a commodity, is increasingly produced in differentiated, digestible forms ('bits') for ease of mass exchange, transmission and consumption, and with the aim of enabling the optimal performance of the global system.

Chapter Summary The inversion of the 3rd Law of Behavior Change is make it difficult. A commitment device is a choice you make in the present that locks in better behavior in the future. The ultimate way to lock in future behavior is to automate your habits. Onetime choices—like buying a better mattress or enrolling in an automatic savings plan—are single actions that automate your future habits and deliver increasing returns over time. Using technology to automate your habits is the most reliable and effective way to guarantee the right behavior.

HOW TO CREATE A GOOD HABIT The 1st Law: Make It Obvious 1.1: Fill out the Habits Scorecard. Write down your current habits to become aware of them. 1.2: Use implementation intentions: “I will [BEHAVIOR] at [TIME] in [LOCATION].” 1.3: Use habit stacking: “After I [CURRENT HABIT], I will [NEW HABIT].” 1.4: Design your environment. Make the cues of good habits obvious and visible. The 2nd Law: Make It Attractive 2.1: Use temptation bundling. Pair an action you want to do with an action you need to do. 2.2: Join a culture where your desired behavior is the normal behavior. 2.3: Create a motivation ritual. Do something you enjoy immediately before a difficult habit. The 3rd Law: Make It Easy 3.1: Reduce friction. Decrease the number of steps between you and your good habits. 3.2: Prime the environment. Prepare your environment to make future actions easier. 3.3: Master the decisive moment. Optimize the small choices that deliver outsized impact. 3.4: Use the Two-Minute Rule. Downscale your habits until they can be done in two minutes or less. 3.5: Automate your habits. Invest in technology and onetime purchases that lock in future behavior. The 4th Law: Make It Satisfying HOW TO BREAK A BAD HABIT Inversion of the 1st Law: Make It Invisible 1.5: Reduce exposure. Remove the cues of your bad habits from your environment. Inversion of the 2nd Law: Make It Unattractive 2.4: Reframe your mind-set. Highlight the benefits of avoiding your bad habits. Inversion of the 3rd Law: Make It Difficult 3.6: Increase friction. Increase the number of steps between you and your bad habits. 3.7: Use a commitment device. Restrict your future choices to the ones that benefit you. Inversion of the 4th Law: Make It Unsatisfying

The inversion of the 3rd Law of Behavior Change is make it difficult. A commitment device is a choice you make in the present that locks in better behavior in the future. The ultimate way to lock in future behavior is to automate your habits. Onetime choices—like buying a better mattress or enrolling in an automatic savings plan—are single actions that

automate your future habits and deliver increasing returns over time. Using technology to automate your habits is the most reliable and effective way to guarantee the right behavior.

Detective, what I'm trying to tell you is that there's no point in my being at this desk. Or anywhere else! We set it all into motion perfectly, and now the system itself can see to everything. It's like they're just keeping us around as... I don't know. Furniture? To occupy themselves? Learn from us? Or... maybe it's a form of tribute.

Effectiveness is doing the right things, while efficiency is doing things right. Effectiveness must always come first, then efficiency. System design is about automating and outsourcing your desired results. Give yourself the space to put your attention and energy where you want. The goal is to off-load your mental and physical plate.

Step #5 to being your Future Self is automating and systemizing your Future Self. How can you better systemize your desired Future Self? What could you simplify and eliminate from your life, to free yourself from decision fatigue and lesser goals? What barriers and filters could you create to protect your time and attention? What could you automate, such as a weekly investing strategy? Where could you find a who to handle some of the hows that are outside your zone of genius?22

Automate This: How Algorithms Took Over Our Markets, Our Jobs, and Our World by Christopher Steiner.

The point of intelligent automation is to enable a company’s scarcest and hardest-to-scale assets—its talented people—to focus on only those tasks that machines cannot do. Strengths in human qualities and abilities such as leadership, creativity, persuasiveness, critical thinking, and intuition will remain the source of the company’s competitive edge, precisely because they are hard to replicate.

After you’ve optimized a task, the next step is to automate as much as possible. Use software or processes so you can get the task done without human involvement—just set it and forget it. Finally, for anything that’s left, outsource to a generalist or a specialist. It’s important to note that although outsourcing can do a lot for you, it comes after optimizing and automating.

•​Artificial Intelligence: The science of making machines smart. •​Marketing AI: The science of making marketing smart. •​Algorithm: Set of rules that tell a machine what to do. •​Traditional Automation: Automation powered by sets of instructions (aka algorithms) coded by humans that tell machines what to do. •​Intelligent Automation: Automation powered by AI that has the potential to define its own algorithms, determine new paths, and unlock unlimited potential. •​Machine Learning: The primary subset of AI in which the machine uses data to continually learn and make more increasingly accurate predictions. •​Deep Learning: An advanced type of machine learning that mimics the functioning of the human brain, giving machines humanlike abilities to see, hear, write, speak, understand, and move.