Automated Driving Quotes

Everyone can enjoy a life of luxurious leisure if the machine-produced [robots] wealth is shared, or most people can end up miserably poor if the machine-owners successfully lobby against wealth redistribution. So far, the trend seems to be toward the second option, with technology driving ever-increasing inequality.

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.

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.

When considering automation, therefore, it is wrong to compare the abilities of a single human driver to that of a single self-driving car, or of a single human doctor to that of a single AI doctor. Rather, we should compare the abilities of a collection of human individuals to the abilities of an integrated network.

What we are facing is not the replacement of millions of individual human workers by millions of individual robots and computers; rather, individual humans are likely to be replaced by an integrated network. When considering automation, therefore, it is wrong to compare the abilities of a single human driver to that of a single self-driving car, or of a single human doctor to that of a single AI doctor. Rather, we should compare the abilities of a collection of human individuals to the abilities of an integrated network.

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

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).

Since humans are individuals, it is difficult to connect them to one another and to make sure that they are all up to date. In contrast, computers aren’t individuals, and it is easy to integrate them into a single flexible network. What we are facing is not the replacement of millions of individual human workers by millions of individual robots and computers; rather, individual humans are likely to be replaced by an integrated network. When considering automation, therefore, it is wrong to compare the abilities of a single human driver to that of a single self-driving car, or of a single human doctor to that of a single AI doctor. Rather, we should compare the abilities of a collection of human individuals to the abilities of an integrated network.

With simple tasks such as typing, driving, or playing golf and tennis, we reach our highest level of proficiency after about 50 hours of practice; then our performance skills become automated. We’re able to execute them smoothly and with minimal effort, but further development stops. We assume we’ve reached our highest performance level, and we don’t think to learn new and better methods.

human being. And what if you were one of the millions of human beings who will have no place in the automated life that will soon be reality? Cars, trucks, buses, trains will drive themselves. Stores and supermarkets will use smart tracking for your purchases. Your home will use repair diagnostics. Your fridge will order its own food. Bots will take care of the housework and entertain your children. What will you do all day?

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.

According to the New York Times, last year as one of Google’s new cars approached a crosswalk, it did as it was supposed to and came to a complete stop. The pedestrian in front crossed the street safely, at which point the Google car was rammed from behind by a second non-Google automobile. Later, another self-driving Google car found that it wasn’t able to advance through a four-way stop, as its sensors were calibrated to wait for other drivers to make a complete stop, as opposed to inching continuously forward, which most did. Noted the Times, “Researchers in the fledgling field of autonomous vehicles say that one of the biggest challenges facing automated cars is blending them into a world in which humans don’t behave by the book.”15

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.

Kiip’s move comes at a time when more and more data on people’s actions is becoming available as wearable devices, Internet-connected home automation equipment, and cars with integrated data connections head to market. Those new data streams could form the basis for many new services and products, but they also bring new privacy concerns. Ads tailored to driving behavior will be possible thanks to a partnership between Kiip and fellow startup Mojio. It expects to launch a $149 device this summer that plugs into a car’s diagnostic port and streams vehicle data to a smartphone app to help users track their driving, their fuel economy, and their vehicle’s maintenance status. Kiip will use data from that device to target promotions inside the Mojio app.

Enjoy Swimming throughout the Year with Pool Enclosures One of the most fantastic activities that people like to do in all weather is swimming. But harsh winter season makes you sometimes miss that enjoyment and feel regretted of that open swimming pool. For that the technology has made you get a fruitful option. You can have now various type Pool Enclosures available in the market. These are so effective that can get you the feel of indoor swimming with the automated drive systems. You can make your open area as enclosed one with the available automatic retractable enclosures. This comes out to be the smart option to enjoy swimming even in the coldest weather outside year around. Just like an Indoor Pool you are free to enjoy swimming year around. In all climates the pool enclosure works effective as these are easy to open and close. Thus with this feature you can attach it to your home and detach as well. To choose the suitable you are open with two basic alternates that are tracked and trackless enclosures. The features are all clear as with the tracked system there is no tension of opening and closing while the trackless system requires two people to drag the path on both side equally. Not only using it as an enclosed area to enjoy swimming, there are other facilities too that you can get through it. Making it as a Sunroom in the clear weather and sunny day is one of the spectacular notion. There you can enjoy sunbath if the enclosure is made of glass. The glass made enclosures also work with greenhouse effect best for plants as well. The full height is one more specific feature that can make you enjoy walking around the pool area. You can make your pool safe and clean from dust and dirt particles from which the pool comes in contact obviously. Turn you outer Swimming Pool as an enclosed area and an important part of your home with the enclosures available in the market. There are many companies that are providing different range of products to be made as pool enclosure as per your requirements. You are even open with the option having them installed by the experts which many of the companies avail. Search for the suitable option online. The harsh winter season makes you sometimes miss the enjoyment of swimming and feel regretted of that open swimming pool. For that the technology has made you get a fruitful option of pool enclosures.

Email marketing is like driving a car. You have to learn how to do it, but once you’ve done so it’s quite easy to take for granted. The litany of technology advances created by email service providers (ESPs) to make sending, tracking, targeting, and automating email easier can make you feel like you’re behind the wheel of a high-tech, luxury sports car. But successful email marketing—like all marketing, really—isn’t about the car, it’s about the driver.

Knowledge work is where agricultural work was at the dawn of the industrial economy. Then, the machines of the industrial economy, like the steam shovel and cotton gin, automated manual work. Now, the software of the information economy, from ATMs to self-driving cars and the AI able to make medical diagnosis, is automating knowledge work.

Determine Keywords Use Compete PRO to find out which keywords drive traffic in an industry category; then create a search with them in Traackr to find the influencers. Validate Use the automated tools as a stepping-stone in the influencer discovery process, read their blogs, and validate the data to build relationships with influencers. Show Commitment Influencer identification is not a one-time thing. You need to do it regularly. It is a marriage, not a date. Welcome Surprises Don’t discount the “little” guy. Some of their one-to-one interactions are stronger than those of broadcasters. It takes only a pebble to start an avalanche. Combine Tools Use Google to find the most relevant keywords, Traackr to gain insights, and Klout to validate Twitter. Value Relevance Over Popularity Choose relevance over popularity. The most popular influencers on social media are often the least helpful in a social media campaign. Study Understand the influencer’s core audience. Combine Human and Machine Tools and technology are a good place to start, but we always need the human element.

Hello, I am Courtney Miller, and I have Strong Experience in Digital Marketing, Marketing Automation, Design Strategy, Content Marketing, and UI/UX Design. Over these years, I have assisted numerous businesses to adopt the best solution based on their existing needs while taking care of businesses' long term goals. As a strategic leader, I am driving the organization's marketing design & delivery capability, marketing operations, and communications, and product marketing initiatives.

The rise of a market in which a substantial part of the transactional process is automated, and the decline of the firm as the dominating organizational structure to organize human activity efficiently will uproot labor markets around the world. Nations will face the need to respond to this profound shift in the economy as it endangers many millions of jobs, fuels widespread worries in countless nations, and is already driving populist political movements.

Step Four: Ideal-Week Planning Now you need to take your “only I can do” list and actually plot out how you will get all these things done. I hope your to-do list is shorter than when you picked up this book. If so, that reduction is a massive win in itself. The goal is to schedule all these things out. Literally, go through the list, plot each item into your calendar, and create an automated repeating appointment so it shows up in your calendar on a weekly basis. For example, if only you can write a weekly blog post and you know you need about three hours to write and publish a post, create a three-hour appointment in your calendar from ten to one o’clock on Mondays, for example, and then make it a recurring appointment. The same process can be followed for child-related activities. If you are the person who primarily picks up your kids from school, put an appointment in your calendar for the amount of time it takes to drive or walk to the school, pick them up, and return home. Repeat this task for all the activities you have on the only-you list. Once you’ve entered these activities, you may be thinking, Okay, Lisa, that’s great, but I have now run out of time. So what happens if you actually block everything in and you run out of hours in the week? If I were sitting across from you in a private coaching session, this is what I would ask: •Are all the activities in your calendar truly things only you can do? Is there anything that could be delegated to someone else? •Can any of these activities be batched with something else? For example, could you do research for a blog post on your phone while you run on the treadmill? Can you do phone calls on your commute home or while grocery shopping for your family? •Is everything in your calendar actually aligned with your ideal life plan? Is there anything on the list that is no longer supporting this plan? Be honest with yourself about things that need to go—even if you are having a hard time letting go. •Can you reduce the amount of time it takes to do an activity? This might seem like an incredibly overwhelming exercise, but trust me, it is an incredibly worthwhile exercise. It might seem rigid to schedule everything in your life, but scheduling brings the freedom not to worry about how you are spending your time. You have thought it through, and you know that every worthwhile activity has been accounted for. This system, my friend, is the cure to mom guilt. When you know you have appropriately scheduled dedicated time for your children, your spouse, yourself, and your work, what do you have to feel guilty about?

Robots and computers are replacing human hands in factories, hotels, and fast food restaurants. Self-driving cars are eventually going to start replacing taxi drivers and chauffeurs. Take for example what has already happened to bank clerks and travel agents, once jobs that were all protected from automation, which are now endangered species. Stock traders are also being replaced by computer algorithms, which can react and make decisions so much faster than humans can.

Corporate interests raised a nearly unified voice heralding automation as a certain and universal beneficial advancement. However, some observers saw the new technology as a cause for concern and cautioned that the final word on automation would depend on the choices that industry and the nation made in the face of difficult questions regarding the pace of automation’s implementation, the uses of the new productivity, and the fate of displaced workers as well as depleted or eliminated job classifications, communities, and even industries. Norbert Wiener, for example, a prominent MIT mathematician and pioneer in the science of cybernetics, emphasized the potentially calamitous economic and social consequences of the new production technology. Wiener had begun to express concerns about the impacts of automation on labor and the entire society during World War II, and he authored two books in the immediate Cold War years warning that potentially disastrous unemployment and related social problems may come from industry’s drive toward automation. He characterized automation and computer controls in the production process as the “modern” or “second” industrial revolution, which even more than the first held “unbounded possibilities for good and evil.” 104 In particular, Wiener feared that the larger impact of the changes caused by automation would be a massive displacement of workers, compounded by the profit-driven indifference of industry. “The automatic machine … will produce an unemployment situation, in comparison with which the present recession and even the depression of the thirties will seem a pleasant joke.” 105

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.

Phase 1: Discovery 1. Define the problem statement What is the challenge that will be solved? The problem statement is defined at this step and becomes the foundation of the project. Here is a sample problem statement: The company has more than one hundred thousand email addresses and has sent more than one million emails in the last twelve months, but open rates remain low at 8 percent, and sales attributed to email have remained flat since 2018. Based on current averages, a 2 percentage-point lift in email open rates could produce a $50,000 increase in sales over the next twelve months. It’s important to note that a strong and valid problem statement should include the value of solving the problem. This helps ensure that the project is worth the investment of resources and keeps everyone focused on the goal. 2. Build and prioritize the issues list What are the primary issues causing the problem? The issues are categorized into three to five primary groups and built into an issues tree. Sample issues could be: •​Low open rates •​Low click rates •​Low sales conversion rates 3. Identify and prioritize the key drivers. What factors are driving the issues and problem? Sample key drivers could include: •​List fatigue •​Email creatives •​Highly manual, human-driven processes •​Underutilized or missing marketing technology solutions •​Lack of list segmentation •​Lack of reporting and performance management •​Lack of personalization 4. Develop an initial hypothesis What is the preliminary road map to solving the problem? Here is a sample initial hypothesis: AI-powered technologies can be integrated to intelligently automate priority use cases that will drive email efficiency and performance. 5. Conduct discovery research What information can we gain about the problem, and potential solutions, from primary and secondary research? •​How are talent, technology, and strategy gaps impacting performance? •​What can be learned from interviews with stakeholders and secondary research related to the problem? Ask questions such as the following: •​What is the current understanding of AI within the organization? •​Does the executive team understand and support the goal of AI pilot projects?

Putting together percentages for the two types of automatability _ 38 percent from one-to-one replacements and about 10 percent from ground-up disruption _ we are faced with a monumental challenge. Within ten to twenty years, I estimate we will be technically capable of automating 40 to 50 percent of jobs in the United States. For employees who are not outright replaced, increasing automation of their workload will continue to cut into their value-add for the company, reducing their bargaining power on wages and potentially leading to layoffs in the long term. We'll see a larger pool of unemployed workers competing for an even smaller pool of jobs, driving down wages and forcing many into part-time or "gig economy" work that lacks benefits.

Willpower and brain capacity. Most of us are confused about what willpower really is. We tend to think some people have it in spades and that others like those with chemical and behavioral addictions are lacking in it. That's exactly how I saw myself as a person with no self-control or willpower which was not at all true. While impulse control was indeed a skill I had to hone. For instance through meditation, and mindfulness - staying present with feelings and reactions. Willpower, as in repression or inhibiting a desire. It isn’t a skill. It's a finite cognitive function known as inhibition. To understand a little bit more how willpower or inhibition works, a few pieces of information will help. First, willpower is one of five functions delegated to the prefrontal cortex or PFC. The other four functions are decision making, understanding, memorizing, and recalling. Second, it's important to know that the brain requires a crapload of energy from the body. It accounts for about 2% of our body mass and consumes about 20% of our energy. Most of our brain functions are automatic and don't require conscious processing. Like the beating of your heart, or a habit like driving a car. These automatic processes don't burn up metabolic resources. The PFC on the other hand requires a massive amount of energy or glucose to work. The same way you need energy to run a mile you need energy to make decisions or memorize facts. And this energy is not inexhaustible. We wake up every day with only so much gas in our tank to fuel our PFC. And we burn through it fairly quickly. What this means for willpower is that 1) it's a finite resource with only so much of it available to us each day and 2) it's a resource shared with other functions. Every time you solve a problem, make a decision, memorize a fact, remember something, or try not to do something, like eat that second cookie, or check your Instagram for the 14th time, you are draining your willpower reserves. Trying harder doesn't work when you've got nothing left in you to feel the effort. The thing about the Pfc is that there's no way to give it more gas. So there's no way to increase your willpower, or decision making, understanding, memorizing or recall. What you can do is approach those five functions as if they are precious resources because they are and plan your day in a way that uses them carefully. By creating more automation or habits so that you aren't using your decision making and willpower as often.

There’s no better case study showing how connectivity and computing power will turn old products into digitized machines than Tesla, Elon Musk’s auto company. Tesla’s cult following and soaring stock price have attracted plenty of attention, but what’s less noticed is that Tesla is also a leading chip designer. The company hired star semiconductor designers like Jim Keller to build a chip specialized for its automated driving needs, which is fabricated using leading-edge technology. As early as 2014, some analysts were noting that Tesla cars “resemble a smartphone.” The company has been often compared to Apple, which also designs its own semiconductors. Like Apple’s products, Tesla’s finely tuned user experience and its seemingly effortless integration of advanced computing into a twentieth-century product—a car—are only possible because of custom-designed chips. Cars have incorporated simple chips since the 1970s. However, the spread of electric vehicles, which require specialized semiconductors to manage the power supply, coupled with increased demand for autonomous driving features foretells that the number and cost of chips in a typical car will increase substantially.

AI cannot capitalize on the expertise of millions of people. Everyday there are small things that we experience which have contextual significance and contribute to how we think and create. This includes how we feel, our mood, and others that are non-measureable by sensors. I might be "old school" but what is described as AI today is little more than correlation without causation. Remember that the algorithms that drive the automation are developed by data scientists. The systems that run the algorithms are neither artificial nor intelligent, despite being created by highly intelligent people (who are very real).

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.

This book is a compilation of interesting ideas that have strongly influenced my thoughts and I want to share them in a compressed form. That ideas can change your worldview and bring inspiration and the excitement of discovering something new. The emphasis is not on the technology because it is constantly changing. It is much more difficult to change the accompanying circumstances that affect the way technological solutions are realized. The chef did not invent salt, pepper and other spices. He just chooses good ingredients and uses them skilfully, so others can enjoy his art. If I’ve been successful, the book creates a new perspective for which the selection of ingredients is important, as well as the way they are smoothly and efficiently arranged together. In the first part of the book, we follow the natural flow needed to create the stimulating environment necessary for the survival of a modern company. It begins with challenges that corporations are facing, changes they are, more or less successfully, trying to make, and the culture they are trying to establish. After that, we discuss how to be creative, as well as what to look for in the innovation process. The book continues with a chapter that talks about importance of inclusion and purpose. This idea of inclusion – across ages, genders, geographies, cultures, sexual orientation, and all the other areas in which new ways of thinking can manifest – is essential for solving new problems as well as integral in finding new solutions to old problems. Purpose motivates people for reaching their full potential. This is The second and third parts of the book describes the areas that are important to support what is expressed in the first part. A flexible organization is based on IT alignment with business strategy. As a result of acceleration in the rate of innovation and technological changes, markets evolve rapidly, products’ life cycles get shorter and innovation becomes the main source of competitive advantage. Business Process Management (BPM) goes from task-based automation, to process-based automation, so automating a number of tasks in a process, and then to functional automation across multiple processes andeven moves towards automation at the business ecosystem level. Analytics brought us information and insight; AI turns that insight into superhuman knowledge and real-time action, unleashing new business models, new ways to build, dream, and experience the world, and new geniuses to advance humanity faster than ever before. Companies and industries are transforming our everyday experiences and the services we depend upon, from self-driving cars, to healthcare, to personal assistants. It is a central tenet for the disruptive changes of the 4th Industrial Revolution; a revolution that will likely challenge our ideas about what it means to be a human and just might be more transformative than any other industrial revolution we have seen yet. Another important disruptor is the blockchain - a distributed decentralized digital ledger of transactions with the promise of liberating information and making the economy more democratic. You no longer need to trust anyone but an algorithm. It brings reliability, transparency, and security to all manner of data exchanges: financial transactions, contractual and legal agreements, changes of ownership, and certifications. A quantum computer can simulate efficiently any physical process that occurs in Nature. Potential (long-term) applications include pharmaceuticals, solar power collection, efficient power transmission, catalysts for nitrogen fixation, carbon capture, etc. Perhaps we can build quantum algorithms for improving computational tasks within artificial intelligence, including sub-fields like machine learning. Perhaps a quantum deep learning network can be trained more efficiently, e.g. using a smaller training set. This is still in conceptual research domain.

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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.

the autonomous-driving side of things, Alphabet (formerly Google), which has logged several million self-driving-car test miles, continues to lead the pack. At the end of 2016, it created a new business division, called Waymo, for its autonomous driving technology. In May 2017, Waymo and Lyft announced that they would work together on developing the technology, and later in the year, Alphabet invested $1 billion in the start-up. Others, like Cruise Automation (which GM acquired for $1 billion) and Comma.ai, which offers open-source autonomous driving technology in the same vein as Google’s Android mobile operating system, are chasing hard. Baidu, China’s leading Internet search company, has an autonomous-driving research center in Sunnyvale. Byton—backed by China’s Tencent, Foxconn, and the China Harmony New Energy auto retailer group—has an office in Mountain View, as does Didi Chuxing, the Chinese ride-sharing company in which Apple invested $1 billion. Many of these companies have taken not just inspiration but also talent from Tesla. Part of the value of an innovation cluster like Silicon Valley lies in the dispersal of intellectual labor from one node to the next. For instance, PayPal is well known in the Valley for producing a number of high performers who left the company to start, join, or invest in others. The so-called PayPal Mafia includes Reid Hoffman, who founded LinkedIn; Max Levchin, whose most recent of several start-ups is the financial services company Affirm; Peter Thiel, a Facebook board member and President Trump–supporting venture capitalist who cofounded “big data” company Palantir; Jeremy Stoppelman, who started reviews site Yelp; Keith Rabois, who was chief operating officer at Square and then joined Khosla Ventures; David Sacks, who sold Yammer to Microsoft for $1.2 billion and later became CEO at Zenefits; Jawed Karim, who cofounded YouTube; and one Elon Musk.

With the smart grid for energy and the smart grid for water—what’s technically called resource consumption optimization—we’re seeing the second wave. Next up is the automation and control of far more complex autonomous systems—such as self-driving cars.

Specifically, they argue that digital technology drives inequality in three different ways. First, by replacing old jobs with ones requiring more skills, technology has rewarded the educated: since the mid-1970s, salaries rose about 25% for those with graduate degrees while the average high school dropout took a 30% pay cut.45 Second, they claim that since the year 2000, an ever-larger share of corporate income has gone to those who own the companies as opposed to those who work there—and that as long as automation continues, we should expect those who own the machines to take a growing fraction of the pie. This edge of capital over labor may be particularly important for the growing digital economy, which tech visionary Nicholas Negroponte defines as moving bits, not atoms. Now that everything from books to movies and tax preparation tools has gone digital, additional copies can be sold worldwide at essentially zero cost, without hiring additional employees. This allows most of the revenue to go to investors rather than workers, and helps explain why, even though the combined revenues of Detroit’s “Big 3” (GM, Ford and Chrysler) in 1990 were almost identical to those of Silicon Valley’s “Big 3” (Google, Apple, Facebook) in 2014, the latter had nine times fewer employees and were worth thirty times more on the stock market.47 Figure 3.5: How the economy has grown average income over the past century, and what fraction of this income has gone to different groups. Before the 1970s, rich and poor are seen to all be getting better off in lockstep, after which most of the gains have gone to the top 1% while the bottom 90% have on average gained close to nothing.46 The amounts have been inflation-corrected to year-2017 dollars. Third, Erik and collaborators argue that the digital economy often benefits superstars over everyone else.

Containment in the physical institution of a county poorhouse had the unintentional result of creating class solidarity across race, gender, and national origin. When we sit at a common table, we might see similarities in our experiences, even if we are forced to eat gruel. Surveillance and digital social sorting drive us apart as smaller and smaller microgroups are targeted for different kinds of aggression and control. When we inhabit an invisible poorhouse, we become more and more isolated, cut off from those around us, even if they share our suffering.

The next billion-dollar startup will only have three employees.” The culture of that startup would be “AI first,” and it would use autonomous AI agents to get work done. All marketing and sales would be automated via AI bots, and the three employees would be: The CEO, who would handle vision and purpose and lead public-facing marketing. She would also code and be involved in engineering. The Product Lead, who would interface with customers and team to manage the product roadmap and drive development The Operations Lead, who would be responsible for the outcome of the AI bots and handle finance and legal and smooth operations. We