Automation Short Quotes

Bank clerks and travel agents, who a short time ago seemed completely secure from automation, have become endangered species.

Asking experts to do boring and repetitive, and yet technically demanding tasks is the most certain way of ensuring human error that we can think of, short of sleep deprivation, or inebriation.

If you speak any lines, or do anything, mechanically, without fully realizing who you are, where you came from, why, what you want, where you are going, and what you will do when you get there, you will be acting without imagination. That time, whether it will be short or long, will be unreal, and you will be nothing more than a wound-up machine, an automation.

He invested heavily in an automated general store in which customers would put a coin in a slot and a moment later a bag of coal, potatoes, onions, nails, hairpins, or other desired commodity would come sliding down a chute to them. The system never worked. It never came close to working.

KIMURA Tokyo Station is packed. It’s been a while since Yuichi Kimura was here last, so he isn’t sure if it’s always this crowded. He’d believe it if someone told him there was a special event going on. The throngs of people coming and going press in on him, reminding him of the TV show he and Wataru had watched together, the one about penguins, all jammed in tight together. At least the penguins have an excuse, thinks Kimura. It’s freezing where they live. He waits for an opening in the stream of people, cuts between the souvenir shops and kiosks, quickening his pace. Up a short flight of stairs to the turnstile for the Shinkansen high-speed bullet train. As he passes through the automated ticketing gate

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.

Being captain of such a vessel was not a stressful job, despite the sheer size of the thing. Everything was automated, and this meant that this behemoth could be efficiently handled by a far less seasoned captain. Besides, hiring mature skippers with actual experience would cost real money. And hey, the computers ran everything anyway – and that’s how Bran Johannsen enters this story – as a fine young inexperienced graduate of the Merchant Space Academy in Mars City, who only got his Executive Officer’s ticket four short years ago.

One unfortunate thing about Black Power is that it gives priority to race precisely at a time when the impact of automation and other forces have made the economic question fundamental for blacks and whites alike. In this context a slogan “Power for Poor People” would be much more appropriate than the slogan “Black Power.” However much we pool our resources and “buy black,” this cannot create the multiplicity of new jobs and provide the number of low-cost houses that will lift the Negro out of the economic depression caused by centuries of deprivation. Neither can our resources supply quality integrated education. All of this requires billions of dollars which only an alliance of liberal-labor-civil-rights forces can stimulate. In short, the Negroes’ problem cannot be solved unless the whole of American society takes a new turn toward greater economic justice.

The few remaining men can exist out their puny days dropped out on drugs or strutting around in drag or passively watching the high-powered female in action, fulfilling themselves as spectators, vicarious liver*, or breeding in the cow pasture with the toadies, or they can go off to the nearest friendly suicide center where they will be quietly, quickly, and painlessly gassed to death. Prior to the institution of automation, to the replacement of males by machines, the male should be of use to the female, wait on her, cater to her slightest whim, obey her every command, be totally subservient to her, exist in perfect obedience to her will, as opposed to the completely warped, degenerate situation we have now of men, not only not only not existing at all, cluttering up the world with their ignominious presence, but being pandered to and groveled before by the mass of females, millions of women piously worshiping the Golden Calf, the dog leading the master on a leash, when in fact the male, short of being a drag queen, is least miserable when his dogginess is recognized – no unrealistic emotional demands are made of him and the completely together female is calling the shots. Rational men want to be squashed, stepped on, crushed and crunched, treated as the curs, the filth that they are, have their repulsiveness confirmed. The sick, irrational men, those who attempt to defend themselves against their disgustingness, when they see SCUM barreling down on them, will cling in terror to Big Mama with her Big Bouncy Boobies, but Boobies won’t protect them against SCUM; Big Mama will be clinging to Big Daddy, who will be in the corner shitting in his forceful, dynamic pants. Men who are rational, however, won’t kick or struggle or raise a distressing fuss, but will just sit back, relax, enjoy the show and ride the waves to their demise.

If Jim was back at the imaginary dinner party, trying to explain what he did for a living, he'd have tried to keep it simple: clearing involved everything that took place between the moment someone started at trade — buying or selling a stock, for instance — and the moment that trade was settled — meaning the stock had officially and legally changed hands. Most people who used online brokerages thought of that transaction as happening instantly; you wanted 10 shares of GME, you hit a button and bought 10 shares of GME, and suddenly 10 shares of GME were in your account. But that's not actually what happened. You hit the Buy button, and Robinhood might find you your shares immediately and put them into your account; but the actual trade took two days to complete, known, for that reason, in financial parlance as 'T+2 clearing.' By this point in the dinner conversation, Jim would have fully expected the other diners' eyes to glaze over; but he would only be just beginning. Once the trade was initiated — once you hit that Buy button on your phone — it was Jim's job to handle everything that happened in that in-between world. First, he had to facilitate finding the opposite partner for the trade — which was where payment for order flow came in, as Robinhood bundled its trades and 'sold' them to a market maker like Citadel. And next, it was the clearing brokerage's job to make sure that transaction was safe and secure. In practice, the way this worked was by 10:00 a.m. each market day, Robinhood had to insure its trade, by making a cash deposit to a federally regulated clearinghouse — something called the Depository Trust & Clearing Corporation, or DTCC. That deposit was based on the volume, type, risk profile, and value of the equities being traded. The riskier the equities — the more likely something might go wrong between the buy and the sell — the higher that deposit might be. Of course, most all of this took place via computers — in 2021, and especially at a place like Robinhood, it was an almost entirely automated system; when customers bought and sold stocks, Jim's computers gave him a recommendation of the sort of deposits he could expect to need to make based on the requirements set down by the SEC and the banking regulators — all simple and tidy, and at the push of a button.

The fascination with automation in part reflected the country’s mood in the immediate postwar period, including a solid ideological commitment to technological progress. Representatives of industry (along with their counterparts in science and engineering) captured this mood by championing automation as the next step in the development of new production machinery and American industrial prowess. These boosters quickly built up automation into “a new gospel of postwar economics,” lauding it as “a universal ideal” that would “revolutionize every area of industry.” 98 For example, the November 1946 issue of Fortune magazine focused on the prospects for “The Automatic Factory.” The issue included an article titled “Machines without Men” that envisioned a completely automated factory where virtually no human labor would be needed. 99 With visions of “transforming the entire manufacturing sector into a virtually labor-free enterprise,” factory owners in a range of industries began to introduce automation in the postwar period. 100 The auto industry moved with particular haste. After the massive wave of strikes in 1945–46, automakers seized on automation as a way to replace workers with machines. 101 As they converted back to civilian auto production after World War II, they took the opportunity to install new labor-saving automatic production equipment. The two largest automakers, Ford and General Motors, set the pace. General Motors introduced the first successful automated transfer line at its Buick engine plant in Flint in 1946 (shortly after a 113-day strike, the longest in the industry’s history). The next year Ford established an automation department (a Ford executive, Del S. Harder, is credited with coining the word “automation”). By October 1948 the department had approved $ 3 million in spending on 500 automated devices, with early company estimates predicting that these devices would result in a 20 percent productivity increase and the elimination of 1,000 jobs. Through the late 1940s and 1950s Ford led the way in what became known as “Detroit automation,” undertaking an expensive automation program, which it carried out in concert with the company’s plans to decentralize operations away from the city. A major component of this effort was the Ford plant in the Cleveland suburb of Brook Park, a $ 2 billion engine-making complex that attracted visitors from government, industry, and labor and became a national symbol of automation in the 1950s. 102

So who’s right: those who say automated jobs will be replaced by better ones or those who say most humans will end up unemployable? If AI progress continues unabated, then both sides might be right: one in the short term and the other in the long term. But although people often discuss the disappearance of jobs with doom-and-gloom connotations, it doesn’t have to be a bad thing! Luddites obsessed about particular jobs, neglecting the possibility that other jobs might provide the same social value. Analogously, perhaps those who obsess about jobs today are being too narrow-minded: we want jobs because they can provide us with income and purpose, but given the opulence of resources produced by machines, it should be possible to find alternative ways of providing both the income and the purpose without jobs. Something similar ended up happening in the equine story, which didn’t end with all horses going extinct. Instead, the number of horses has more than tripled since 1960, as they were protected by an equine social-welfare system of sorts: even though they couldn’t pay their own bills, people decided to take care of horses, keeping them around for fun, sport and companionship. Can we similarly take care of our fellow humans in need?

Airbnb’s strategy for photographing its hosts’ rooms offers an instructive example. Early on, Airbnb’s founders discovered that one of the key factors that increased the chances of renting a room on Airbnb was the quality of the photographs of that room. It turns out that most of us aren’t professional photographers, and our poorly composed, poorly shot cell phone pictures don’t do a good job of conveying the awesomeness of our living spaces. So the founders took to the road, visiting hosts and taking photographs for them. Obviously, personally visiting every host was hardly a scalable solution, so the the task was soon outsourced to freelance photographers. As Airbnb grew, the strategy shifted from the founders managing a short list of photographers, to an employee managing a large group of photographers, to an automated system managing a global network of photographers. Founder Brian Chesky describes this strategy succinctly: “Do everything by hand until it’s too painful, then automate it.

1. Fire them (in a nice way) Give them plenty of notice, and recommend other people that can do your job. Keep it short and sweet. You don’t have to justify why you made this decision, but you can add that it doesn’t fit into your business model at this time. It can go something like this… Tactful Client Dismissal Letter: Mr. Jones, I have decided it would be best if we did not renew your contract for next year. While I appreciate the opportunity to work with you, my business is moving towards a more automated model. I will not be able to handle your account the way you want or expect. Therefore, to ensure accounts success, I will be recommending three people who can replace me. Kind Regards, Liesha Petrovich 2.

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

a new booking inquiry, a new request to book, a new reservation, guest check-in, cordiality/guest happiness check, reviewing a guest on Airbnb, and prompting a guest for an Airbnb review. I also have an automated message to follow up on expired guest inquiries.

There is a great tool called Hospitable (formerly known as Smartbnb) that can help automate your messaging as a host.

Some areas of opportunity: •   First, stop saying, “Well, this is just the way it is in our industry.” •   Have your available cash reported DAILY, with a short explanation of why it changed in the last 24 hours, and chart it against accounts receivable (AR) and accounts payable (AP) weekly. You’ll learn so much more about your business when you see how the cash is flowing on a daily basis. •   If you want to be paid sooner, ask. Small firms are finding that large companies (and governments!!) will pay considerably faster or even prepay if they simply ask, ask, ask, ask, and ask some more. •   Give value back to customers who pay on time or in advance. •   Get your invoices out more quickly. Hire one more person in accounting to do nothing but make sure invoicing is timely and follow up on payments. •   Send friendly reminders five days before the deadline that payments are due. Many customers are disorganized and will appreciate the reminders, resulting in faster payment. •   If invoices are recurring, obtain recurring credit card authorization from your customers to automate on-time payments. •   Understand why your clients are paying late. They might be unhappy with your product or service. Or perhaps an invoice has recurring mistakes, or it is not structured to flow through the customer’s automated invoicing system. •   Understand each customer’s payment cycles, and time your billings to coincide. •   Pay many of your own expenses with a credit card so you can play the float. Get your own customers to pay by credit card, so they can pay you quickly even if their cash flow is slow. •   Help your customers improve their cash flow so they can pay you on time. Offer them leasing options, for instance. •   Shorten cycles for delivery of your product or service. All of you have some kind of “work in progress.” The faster you complete projects, the faster you get paid. •   Offer a product or service so valuable that you have some leverage with your customers to get them to pay sooner. • Remember, improving margins and profit improves cash.

By now, though, it had been a steep learning curve, he was fairly well versed on the basics of how clearing worked: When a customer bought shares in a stock on Robinhood — say, GameStop — at a specific price, the order was first sent to Robinhood's in-house clearing brokerage, who in turn bundled the trade to a market maker for execution. The trade was then brought to a clearinghouse, who oversaw the trade all the way to the settlement. During this time period, the trade itself needed to be 'insured' against anything that might go wrong, such as some sort of systemic collapse or a default by either party — although in reality, in regulated markets, this seemed extremely unlikely. While the customer's money was temporarily put aside, essentially in an untouchable safe, for the two days it took for the clearing agency to verify that both parties were able to provide what they had agreed upon — the brokerage house, Robinhood — had to insure the deal with a deposit; money of its own, separate from the money that the customer had provided, that could be used to guarantee the value of the trade. In financial parlance, this 'collateral' was known as VAR — or value at risk. For a single trade of a simple asset, it would have been relatively easy to know how much the brokerage would need to deposit to insure the situation; the risk of something going wrong would be small, and the total value would be simple to calculate. If GME was trading at $400 a share and a customer wanted ten shares, there was $4000 at risk, plus or minus some nominal amount due to minute vagaries in market fluctuations during the two-day period before settlement. In such a simple situation, Robinhood might be asked to put up $4000 and change — in addition to the $4000 of the customer's buy order, which remained locked in the safe. The deposit requirement calculation grew more complicated as layers were added onto the trading situation. A single trade had low inherent risk; multiplied to millions of trades, the risk profile began to change. The more volatile the stock — in price and/or volume — the riskier a buy or sell became. Of course, the NSCC did not make these calculations by hand; they used sophisticated algorithms to digest the numerous inputs coming in from the trade — type of equity, volume, current volatility, where it fit into a brokerage's portfolio as a whole — and spit out a 'recommendation' of what sort of deposit would protect the trade. And this process was entirely automated; the brokerage house would continually run its trading activity through the federal clearing system and would receive its updated deposit requirements as often as every fifteen minutes while the market was open. Premarket during a trading week, that number would come in at 5:11 a.m. East Coast time, usually right as Jim, in Orlando, was finishing his morning coffee. Robinhood would then have until 10:00 a.m. to satisfy the deposit requirement for the upcoming day of trading — or risk being in default, which could lead to an immediate shutdown of all operations. Usually, the deposit requirement was tied closely to the actual dollars being 'spent' on the trades; a near equal number of buys and sells in a brokerage house's trading profile lowered its overall risk, and though volatility was common, especially in the past half-decade, even a two-day settlement period came with an acceptable level of confidence that nobody would fail to deliver on their trades.

And while seeking out the opinions and perspectives of people like ourselves may lead to a more personal and familiar buying experience, what’s even more amazing is the impact those trusted sources have on conversion rates. B2B sales cycle data from Salesforce demonstrates that, when it comes to lead conversion, the interest that originates from customer and employee referrals converts to deals at rates fifty times higher than email campaigns!9 Furthermore, data from marketing automation giant Marketo indicates that leads originating from referrals convert to opportunities at rates of four times the average, and similar to the next three highest-converting lead sources combined (those being partner, inbound, and marketing-generated).10 My personal experience over the years greatly corroborates these statistics. For example, when I started my own sales practice, Cerebral Selling, I needed to have a logo designed. Around the same time, my friend had recently had a nice logo designed for his business. I asked him who he used, he told me, and I just did the same. No further research or investigation required. A short time later, I wanted to head out of town with my wife for an overnight trip to the beautiful Niagara wine region of Ontario to celebrate our anniversary. I didn’t know where to stay or which restaurant to go to, so instead of sifting through pages of online content and reviews, I asked a friend who runs a vineyard in the region. When he gave me his recommendations, I simply booked the places he told me. No questions asked. Were there better places to stay and eat? Potentially. Were there other creative design shops that could have generated equally if not more spectacular logos? More than likely. Do I care? Absolutely not! I love my logo and had a great anniversary outing, and feel secure in my decisions around both because of the feeling I received by selecting recommendations from people I trust. Both experiences are perfect examples of the prescriptive-led sales cycle we spoke about in chapter 2. This means that when it comes to your selling motion, one of the most unobtrusive, empathetic, and authentic ways to convert prospective buyers is simply to surround them with like-minded customers who love you.

Hi, Candace, this is Jeb Blount from Sales Gravy. The reason I am calling is to schedule an appointment with you to show you our new sales onboarding automation software. Many of my clients are frustrated because it takes too long to get new salespeople ramped up to full productivity and find that it's holding their business growth back. Our software typically cuts onboarding time and costs for new sales reps by 50 percent, and makes it super easy to manage new rep onboarding, giving you the peace of mind that your new hires will start selling fast. I have 2:00 PM on Thursday open. How about we get together for a short meeting so I can learn more about you and see whether it makes sense to schedule a demo?

But I’m not an automation. I’m human and I have a life, and just for a short while I had responsibilities that meant I couldn’t be the employee you – or I – would have liked. ~Louisa Clark

Perhaps the most common device for giving people focus and direction is goal setting, but goals, as often as they are used, have their pros and cons. Sure, if you can convince everybody that profits must increase 20% next quarter or we’re going out of business, people will hurry around looking for ways to hype profits by 20%. When discussing “mission” I assigned Susan a goal of 25% improvement in sales, based on what I calculated was needed to avoid closing the factory and on what I felt her district could reasonably provide. It was not a number pulled from the ether, and I went to some length to explain this to her. Short of any such basis in reality, people will often do the easiest things, such as firing 20% of the workforce, canceling vital R&D programs, or simply not making any payments to suppliers. In other words, they will take achieving the goal as seriously as they feel you were in setting it; they will sense whether you have positioned yourself at the Schwerpunkt. Goals, as we all know, can be motivators. Cypress Semiconductor, a communications-oriented company founded in 1982, used to have a computer that tracked the thousands of self-imposed goals that its people fed into the system. Cypress founder T. J. Rodgers identified this automated goal tending system as the heart of his management style and a big factor in the company’s early success.136 Frankly, I find this philosophy depressing, not to mention a temptation to focus inward: If the boss places great importance on entering and tracking goals, as he obviously does, then that is what the other employees are going to consider important.137 In any case, what’s the big deal about meeting or missing a goal? A goal is an intention at a point in time. It is, to a large extent, an arbitrary target, whether you set it or someone above you assigns it. And we all know that numerical goals can be gamed, like banking (delaying) sales that we could have made this quarter to help us make quota next quarter. Unlike a Schwerpunkt, which gives focus and direction for chaotic and uncertain situations, what does a goal tell you? Just keep your head down and continue plugging away?

Generally any task that can be measured by the metrics of productivity—output per hour—is a task we want automation to do. In short, productivity is for robots.

The great question that hovers over this issue, one that we have dealt with mainly by indifference, is the question of what people are for. Is their greatest dignity in unemployment? Is the obsolescence of human beings now our social goal? One would conclude so from our attitude toward work, especially the manual work necessary to the long-term preservation of the land, and from our rush toward mechanization, automation, and computerization. In a country that puts an absolute premium on labor-saving measures, short workdays, and retirement, why should there be any surprise at permanence of unemployment and welfare dependency? Those are only different names for our national ambition.

There are many ways to ask customers why they churn. At Drip, any customer that canceled their account received an automated email within ten minutes of canceling. It said, “Hello, I’m one of the founders of Drip, and I’d love to hear why you decided to cancel your account.” We got a wide range of responses. Some people would tell us they were shutting their business down—which isn’t something we could fix. Others would say they switched to a cheaper tool because they didn’t need our more powerful product. Others switched to a competitor because they needed a feature we didn’t have. The key to getting useful data points out of an exit survey is to keep it short and direct, create a connection (“I’m the founder, and your feedback would help me build a better product!”), and ask for a reply—even if it’s just four or five words. This can give you a glimpse into what potential customers want, which helps guide product decisions. More often than not, you can get a quick win with churn using tactics like an email welcome sequence and in-app onboarding tools to make sure new users see value early. However, pushing churn below 2% or 3% is a long road that unfolds slowly as you refine your marketing and sales language, learn more about your ideal customer, and add more features those customers love (we covered that in the Market chapter).

Maud waved a hand. ‘Take Prometheus, for example. His limited-yet-significant role in man’s creation story begins with clay—no matter if it was the Neanderthal, Denisovan, or Homo Sapien creation. Whatever. He shaped “man” from the ground—a clod of dirt, as the myth goes. Long story short, from dirt man was made and to dirt he shall return. The god that created man was part of the capital-G God. The gods make up God—all that crap.

The most common options include: Ebook apps, which often allow you to export your highlights or annotations all at once. Read later apps that allow you to bookmark content you find online for later reading (or in the case of podcasts or videos, listening or watching). Basic notes apps that often come preinstalled on mobile devices and are designed for easily capturing short snippets of text. Social media apps, which usually allow you to “favorite” content and export it to a notes app. Web clippers, which allow you to save parts of web pages (often included as a built-in feature of notes apps). Audio/voice transcription apps that create text transcripts from spoken words. Other third-party services, integrations, and plug-ins that automate the process of exporting content from one app to another.

While he had once been interested in Ayn Rand, he added, he increasingly viewed her laissez-faire capitalist worldview as old thinking. Now the ideas of Buckminster Fuller—pro-technology, with a deep faith that the coming of computerization and automation would result in an infinite abundance that would arrive shortly—were increasingly appealing to him.

The short of it is: help others. Gary Vaynerchuk’s Jab, Jab, Jab, Right Hook is not a boxing primer; rather it’s a book dedicated to the premise of give, give, give, ask. The idea is that people will be more willing to help you after you put some skin in the game by helping them. And the simplest way to do that is to try and answer questions they inevitably will ask you.

If the ideal with regard to work is to get rid of it, every method that 'reduces the work load' is a good thing. The most potent method, short of automation, is the so-called 'division of labour' and the classical example is the pin factory eulogised in Adam Smith's Wealth of Nations.' Here it is not a matter of ordinary specialisation, which mankind has practised from time immemorial, but of dividing up every complete process of production into minute parts, so that the final product can be produced at great speed without anyone having had to contribute more than a totally insignificant and, in most cases, unskilled movement of his limbs. The Buddhist point of view takes the function of work to be at least threefold: to give a man a chance to utilise and develop his faculties; to enable him to overcome his egocentredness by joining with other people in a common task; and to bring forth the goods and services needed for a becoming existence. Again, the consequences that flow from this view are endless. To organise work in such a manner that it becomes meaningless, boring, stultifying, or nerve-racking for the worker would be little short of criminal: it would indicate a greater concern with goods than with people, an evil lack of compassion and a soul-destroying degree of attachment to the most primitive side of this worldly existence. Equally, to strive for leisure as an alternative to work would be considered a complete misunderstanding of one of the basic truths of human existence, namely that work and leisure are complementary parts of the same living process and cannot be separated without destroying the joy of work and the bliss of leisure.

Testability is, in short, the expense of test.

From a logical standpoint, it’s more likely that the future will be “protopian.” The world won’t be perfect and happy, but it won’t be an abysmal dystopia either. This means there will be positives and negatives, but overall, it will be a better world. Digital marketing consultant Marcus Wong writes, “Protopia defines a state where we’re no longer fighting for survival (Dystopia), nor are we accepting perfection (Utopia…. Every opportunity to create something new, something faster, something ‘better’—creates a new world of problems that we would have never initially created. This is not a bad thing; some problems are good to have.”[29] In short, we can’t eliminate problems without introducing new ones. This is why we will see progress, but not perfection.[30] Will robots take some workers’ jobs? Yes. There will be automation, but automation will also generate new jobs.