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The standard explanation of this unhinging, repeated in graduate-school classrooms and in advice to politicians, is technological change.

This explanation, known as skill-biased technical change, is so common that economists just call it S.B.T.C. They use it to explain why everyone from the extremely rich to the just-kind-of rich are doing so much better than everyone else.

For all their disagreements, Autor and Mishel are allies of sorts. Both are Democrats who have advised President Barack Obama, and both agree that rampant inequality can undermine democracy and economic growth by fostering despair among workers and corruption among the wealthy

The change came around 1978, Mishel said, when politicians from both parties began to think of America as a nation of consumers, not of workers.

each administration and Congress have made choices — expanding trade, deregulating finance and weakening welfare — that helped the rich and hurt everyone else. Inequality didn’t just happen, Mishel argued. The government created it.

Computers and the Internet, Mishel argued, are just new examples on the continuum and cannot explain a development like extreme inequality, which is so recent. So what happened?

David Autor, one of the country’s most celebrated labor economists, took the stage, fumbled for his own PowerPoint presentation and then explained that there was plenty of evidence showing that technological change explained a great deal about the rise of income inequality. Computers, Autor says, are fundamentally different. Conveyor belts and massive steel furnaces made blue-collar workers comparatively wealthier and hurt more highly skilled crafts­people, like blacksmiths and master carpenters, whose talents were disrupted by mass production. The computer revolution, however, displaced millions of workers from clerical and production occupations, forcing them to compete in lower-paying jobs in the retail, fast-food and home health sectors. Meanwhile, computers and the Internet disproportionately helped people like doctors, engineers and bankers in information-intensive jobs. Inequality was merely a side effect of the digital revolution, Autor said; it didn’t begin and end in Washington.

Levy suggested seeing how inequality has played out in other countries

In Germany, the average worker might make less than an American, but the government has established an impressive apprenticeship system to keep blue-collar workers’ skills competitive.

For decades, the Finnish government has offered free education all the way through college. It may have led to high taxes, but many believe it also turned a fairly poor fishing economy into a high-income, technological nation.

On the other hand, Greece, Spain and Portugal have so thoroughly protected their workers that they are increasingly unable to compete

Inequality has risen almost everywhere, which, Levy says, means that Autor is right that inequality is not just a result of American-government decisions. But the fact that inequality has risen unusually quickly in the United States suggests that government does have an impact

Still, economists certainly cannot tell us which policy is the right one. What do we value more: growth or fairness? That’s a value judgment. And for better or worse, it’s up to us.

The impacts of technological change take their time appearing. They also vary hugely from industry to industry. Although in many simple economic models technology pairs neatly with capital and labour to produce output, in practice technological changes do not affect all workers the same way. Some find that their skills are complementary to new technologies. Others find themselves out of work.

The case for a highly disruptive period of economic growth is made by Erik Brynjolfsson and Andrew McAfee, professors at MIT, in “The Second Machine Age”, a book to be published later this month. Like the first great era of industrialisation, they argue, it should deliver enormous benefits—but not without a period of disorienting and uncomfortable change

Their argument rests on an underappreciated aspect of the exponential growth in chip processing speed, memory capacity and other computer metrics: that the amount of progress computers will make in the next few years is always equal to the progress they have made since the very beginning. Mr Brynjolfsson and Mr McAfee reckon that the main bottleneck on innovation is the time it takes society to sort through the many combinations and permutations of new technologies and business models.

A startling progression of inventions seems to bear their thesis out. Ten years ago technologically minded economists pointed to driving cars in traffic as the sort of human accomplishment that computers were highly unlikely to master. Now Google cars are rolling round California driver-free

Even after computers beat grandmasters at chess (once thought highly unlikely), nobody thought they could take on people at free-form games played in natural language. Then Watson, a pattern-recognising supercomputer developed by IBM, bested the best human competitors in America’s popular and syntactically tricksy general-knowledge quiz show “Jeopardy!” Versions of Watson are being marketed to firms

Text-mining programs will displace professional jobs in legal services. Biopsies will be analysed more efficiently by image-processing software than lab technicians. Accountants may follow travel agents and tellers into the unemployment line as tax software improves. Machines are already turning basic sports results and financial data into good-enough news stories.

the second machine age will make such trial and error easier. It will be shockingly easy to launch a startup, bring a new product to market and sell to billions of global consumers (see article). Those who create or invest in blockbuster ideas may earn unprecedented returns as a result.

Tyler Cowen, an economist at George Mason University and a much-read blogger, writes in his most recent book, “Average is Over”, that rich economies seem to be bifurcating into a small group of workers with skills highly complementary with machine intelligence, for whom he has high hopes, and the rest, for whom not so much.

A taxi driver will be a rarity in many places by the 2030s or 2040s. That sounds like bad news for journalists who rely on that most reliable source of local knowledge and prejudice—but will there be many journalists left to care? Will there be airline pilots? Or traffic cops? Or soldiers?

Thomas Piketty, an economist at the Paris School of Economics, argues along similar lines that America may be pioneering a hyper-unequal economic model in which a top 1% of capital-owners and “supermanagers” grab a growing share of national income and accumulate an increasing concentration of national wealth

The rise of the middle-class—a 20th-century innovation—was a hugely important political and social development across the world. The squeezing out of that class could generate a more antagonistic, unstable and potentially dangerous politics.

The current doldrum in wages may, like that of the early industrial era, be a temporary matter, with the good times about to roll (see chart 3). These jobs may look distinctly different from those they replace. Just as past mechanisation freed, or forced, workers into jobs requiring more cognitive dexterity, leaps in machine intelligence could create space for people to specialise in more emotive occupations, as yet unsuited to machines: a world of artists and therapists, love counsellors and yoga instructors.

though growth in areas of the economy that are not easily automated provides jobs, it does not necessarily help real wages. Mr Summers points out that prices of things-made-of-widgets have fallen remarkably in past decades; America’s Bureau of Labour Statistics reckons that today you could get the equivalent of an early 1980s television for a twentieth of its then price,

owever, prices of things not made of widgets, most notably college education and health care, have shot up

As innovation continues, automation may bring down costs in some of those stubborn areas as well, though those dominated by scarcity—such as houses in desirable places—are likely to resist the trend, as may those where the state keeps market forces at bay. But if innovation does make health care or higher education cheaper, it will probably be at the cost of more jobs, and give rise to yet more concentration of income.

Adaptation to past waves of progress rested on political and policy responses. The most obvious are the massive improvements in educational attainment brought on first by the institution of universal secondary education and then by the rise of university attendance. Policies aimed at similar gains would now seem to be in order. But as Mr Cowen has pointed out, the gains of the 19th and 20th centuries will be hard to duplicate.

Boosting the skills and earning power of the children of 19th-century farmers and labourers took little more than offering schools where they could learn to read, write and do algebra. Pushing a large proportion of college graduates to complete graduate work successfully will be harder and more expensive. Perhaps cheap and innovative online education will indeed make new attainment possible. But as Mr Cowen notes, such programmes may tend to deliver big gains only for the most conscientious students.

Everyone should be able to benefit from productivity gains—in that, Keynes was united with his successors. His worry about technological unemployment was mainly a worry about a “temporary phase of maladjustment” as society and the economy adjusted to ever greater levels of productivity

However, society may find itself sorely tested if, as seems possible, growth and innovation deliver handsome gains to the skilled, while the rest cling to dwindling employment opportunities at stagnant wages.

The economics community just hasn't spent much time over the past couple of decades focusing on the effect that machine intelligence is likely to have on the labor marke

The Digital Revolution is different because computers can perform cognitive tasks too, and that means machines will eventually be able to run themselves. When that happens, they won't just put individuals out of work temporarily. Entire classes of workers will be out of work permanently. In other words, the Luddites weren't wrong. They were just 200 years too early

while it's easy to believe that some jobs can never be done by machines—do the elderly really want to be tended by robots?—that may not be true.

Robotic pets are growing so popular that Sherry Turkle, an MIT professor who studies the way we interact with technology, is uneasy about it: "The idea of some kind of artificial companionship," she says, "is already becoming the new normal."

robots will take over more and more jobs. And guess who will own all these robots? People with money, of course. As this happens, capital will become ever more powerful and labor will become ever more worthless. Those without money—most of us—will live on whatever crumbs the owners of capital allow us.

Economist Paul Krugman recently remarked that our long-standing belief in skills and education as the keys to financial success may well be outdated. In a blog post titled "Rise of the Robots," he reviewed some recent economic data and predicted that we're entering an era where the prime cause of income inequality will be something else entirely: capital vs. labor.

We're already seeing them, and not just because of the crash of 2008. They started showing up in the statistics more than a decade ago. For a while, though, they were masked by the dot-com and housing bubbles, so when the financial crisis hit, years' worth of decline was compressed into 24 months. The trend lines dropped off the cliff.

In the economics literature, the increase in the share of income going to capital owners is known as capital-biased technological change

The question we want to answer is simple: If CBTC is already happening—not a lot, but just a little bit—what trends would we expect to see? What are the signs of a computer-driven economy?

if automation were displacing labor, we'd expect to see a steady decline in the share of the population that's employed.

Second, we'd expect to see fewer job openings than in the past.

Third, as more people compete for fewer jobs, we'd expect to see middle-class incomes flatten in a race to the bottom.

There will be no place to go but the unemployment line.

Fifth, as a result of all this, we'd expect to see labor's share of national income decline and capital's share rise.

Fourth, with consumption stagnant, we'd expect to see corporations stockpile more cash and, fearing weaker sales, invest less in new products and new factories

The next step might be passenger vehicles on fixed routes, like airport shuttles. Then long-haul trucks. Then buses and taxis. There are 2.5 million workers who drive trucks, buses, and taxis for a living, and there's a good chance that, one by one, all of them will be displaced

in another sense, we should be very alarmed. It's one thing to suggest that robots are going to cause mass unemployment starting in 2030 or so. We'd have some time to come to grips with that. But the evidence suggests that—slowly, haltingly—it's happening already, and we're simply not prepared for it.

the first jobs to go will be middle-skill jobs. Despite impressive advances, robots still don't have the dexterity to perform many common kinds of manual labor that are simple for humans—digging ditches, changing bedpans. Nor are they any good at jobs that require a lot of cognitive skill—teaching classes, writing magazine articles

in the middle you have jobs that are both fairly routine and require no manual dexterity. So that may be where the hollowing out starts: with desk jobs in places like accounting or customer support.

In fact, there's even a digital sports writer. It's true that a human being wrote this story—ask my mother if you're not sure—but in a decade or two I might be out of a job too

Doctors should probably be worried as well. Remember Watson, the Jeopardy!-playing computer? It's now being fed millions of pages of medical information so that it can help physicians do a better job of diagnosing diseases. In another decade, there's a good chance that Watson will be able to do this without any human help at all.

Take driverless cars.

Most likely, owners of capital would strongly resist higher taxes, as they always have, while workers would be unhappy with their enforced idleness. Still, the ancient Romans managed to get used to it—with slave labor playing the role of robots—and we might have to, as well.

There will be no place to go but the unemployment lin

we'll need to let go of some familiar convictions. Left-leaning observers may continue to think that stagnating incomes can be improved with better education and equality of opportunity. Conservatives will continue to insist that people without jobs are lazy bums who shouldn't be coddled. They'll both be wrong.

Corporate executives should worry too. For a while, everything will seem great for them: Falling labor costs will produce heftier profits and bigger bonuses. But then it will all come crashing down. After all, robots might be able to produce goods and services, but they can't consume them

we'll probably have only a few options open to us. The simplest, because it's relatively familiar, is to tax capital at high rates and use the money to support displaced workers. In other words, as The Economist's Ryan Avent puts it, "redistribution, and a lot of it."

would we be happy in a society that offers real work to a dwindling few and bread and circuses for the rest?

The modern economy is complex, and most of these trends have multiple causes.

 economist Noah Smith suggests that we might have to fundamentally change the way we think about how we share economic growth. Right now, he points out, everyone is born with an endowment of labor by virtue of having a body and a brain that can be traded for income. But what to do when that endowment is worth a fraction of what it is today? Smith's suggestion: "Why not also an endowment of capital? What if, when each citizen turns 18, the government bought him or her a diversified portfolio of equity?"

In simple terms, if owners of capital are capturing an increasing fraction of national income, then that capital needs to be shared more widely if we want to maintain a middle-class society.

it's time to start thinking about our automated future in earnest. The history of mass economic displacement isn't encouraging—fascists in the '20s, Nazis in the '30s—and recent high levels of unemployment in Greece and Italy have already produced rioting in the streets and larger followings for right-wing populist parties. And that's after only a few years of misery.

When the robot revolution finally starts to happen, it's going to happen fast, and it's going to turn our world upside down. It's easy to joke about our future robot overlords—R2-D2 or the Terminator?—but the challenge that machine intelligence presents really isn't science fiction anymore. Like Lake Michigan with an inch of water in it, it's happening around us right now even if it's hard to see

A robotic paradise of leisure and contemplation eventually awaits us, but we have a long and dimly lit tunnel to navigate before we get there.

What's the theory behind technology? Do we just deal with each one, one by one, or was there a kind of a framework to understand and have a perspective on technology?

All these technologies that we have now made are interrelated, they are codependent, and they form a kind of an ecosystem of technologies. You might even think of it as if these were species, as if it was a super-organism of technology.

I'm interested in this super-organism of all the technologies. I gave it a name. I call it the Technium.

In the larger sense, the Technium is anything that we make with our minds.

all these things are connected together and they form an interacting whole, a kind of a super-organism, that has in many ways its own slight bit of autonomy, and its own agenda.

It wants in the way that a plant wants light and so it will lean towards the light. It has an urgency to go towards light. It's not intelligent, it's not aware of it, but that's what it wants.

If it does want things, it means that it wants it independent of our choosing. At the same time we are making it; it is there because we exist. It's not independent of us, but it has some slight bit of autonomy.

Biologists are slowly coming around to admitting that there are directions in evolution. The standard orthodoxy for many years was that it was completely random, and that there was no direction whatsoever. Any ordinary person found that shocking because they could definitely see a direction in evolution.

We see an arc of increasing complexity in the long journey of life.

Along the long history there is movement towards increasing diversity.

There is also increasing movement towards specialization.

There is a trend towards increasing structure. Things become more and more complicated.

There is a trend towards emergence

There are other trends—towards ubiquity, towards energy efficiency, towards degrees of freedom.

What I'm suggesting is that there is a continuum, a connection back all the way to the Big Bang with these self-organizing systems that make the galaxies, stars, and life, and now is producing technology in the same way.

The energies flowing through these things are, interestingly, becoming more and more dense.

The amount of energy running through a sunflower, per gram per second of the livelihood, is actually greater than in the sun.

The most energy-dense thing that we know about in the entire universe is the computer chip in your computer. It is sending more energy per gram per second through that than anything we know.

The other thing that is evolving over time is the evolvability of the system. One of the things that life is doing is it's evolving its ability to evolve.

Another way to think about this is that one of the things that life likes to do is make eyeballs. Life evolution independently invented eyeballs 30 different times in different genres and taxonomies. It invented flapping wings four times. It invented venomous stings about 20 times independently, from bees, to snakes, to jellyfish. It also has invented minds many, many times.

We are going to fill the universe with all different kinds of thinkings, because only by having many different kinds of minds can we actually understand the universe. Our own mind is probably insufficient to completely comprehend the universe.

The reason why we want to embrace it with our full arms is because what technology brings us is an opportunity for everybody's special mix of talents to be expressed. Just as we all have different faces, we all have a different mix of aptitudes and abilities. We use technologies to express those things.

The question is: Was Moore's Law inevitable? What drives Moore's Law? Where is this coming from?

Moore's Law, not in terms of transistors, but in terms of measuring computer power, was happening long before Moore or anybody even noticed it. The effect was happening before anybody believed it.

this suggests is that this is actually an inherent attribute of the physics, and it suggests that it is independent of the economy. Even if the silicon chip had been invented in Stalinist Russia under a command economy, it probably would still follow exactly the same kind of curve.

Geoffrey West at the Santa Fe Institute looked at a whole bunch of technologies, like solar and batteries and other kinds of things, and they show this this scaling law holds true in many industries.

It has something to do with the basic shape of the economy and of physics, and it's not really a self-fulfilling prophecy. In this way I suggest that these kinds of curves are inevitable. One of the characteristics of the Technium is it exhibits these scaling laws.

we do know that the media that we have does rewire our brains. We know this by studies of people who are literate. They took scans in Peru of people who were illiterate and those who could read and write. They found that in fact their brains work differently—not just when they're reading, but just in general. After having five, ten or twenty years of education and learning to read and write, it actually changes how your brain works.

It's also very clear that if you are spending five or ten hours a day in front of a computer, that is going to change how your brain works. It is going to rewire how we're doing things.

We have a dependency on the alphabet. That's how we think about things. We need reading and writing. We think in terms of words. We imagine it. We see it around us. It's ubiquitous. We are dependent on the alphabet. That doesn't seem to bother us very much.

As these technologies become more ubiquitous and as we become dependent upon it, that's what it is. We will be dependent upon it. It will be our exobrain. We'll use it to remember. It will always be around.

We invented the external stomach, it's called cooking, that allows us to digest stuff that could not otherwise increase nutrition. It changed our jaw and our teeth. We are physically different people because of our inventions. While we can live on a raw diet, it's actually very hard to breed on a raw diet.

What we have done is become dependent on our technology, and we will become ever more so. That's just the definition of who we are. We are the first domesticated animals. We are a technology ourselves.

What I'm saying is that there is only a little more good in technology than bad, but a little is all we need. If we create one-tenth of a percent more than we destroy every year, we can make civilization, because that tenth of a percent compounded over centuries is all that we need.

Every time there's a new technology that comes along, we have the possibility to use it for harm or for good. We also suddenly have a new possibility and choice that we didn't have before. That new choice is that little tiny tenth of a percent that's better, because we have now another freedom that we didn't have before. That tips it into the good side. It's not much better, but that's all we need over the long term. That's why over the long term it's good, because it increases choices and possibilities.

Technology is not powerful unless it can be powerfully abused. There is going to be a learning period. There are going to be phases that people go through and then become addicted. They don't know how to use it.

DDT is horrible. Don't give it a job as a pesticide, and spray millions of acres of cotton fields. That's a terrible job and causes all kinds of havoc. Yet used locally and sprayed around households, DDT eliminates malaria and saves millions of lives a year, and it has very little environmental impact that way. That's a better job for this technology.

We want to find the right jobs for these things and the right frame. Just like there are no bad children, there are also no bad technologies. You've just got to find the right place for them.

My research has shown that there are very few species of technology that ever go extinct. That's the difference between biological evolution and technological evolution; in technology things don't go extinct. They can be resurrected.

Very few people go backwards. Why? Because we have to surrender so many choices and options.

As wholesome and as satisfying as those lives are, the price of going back to these places is surrendering choices and opportunities. In general, the whole arc of evolution is towards expanding those, and that's why by embracing technology we can align ourselves with this long arc throughout the cosmos into the future.

I did a calculation that showed three-quarters of the total energy that we use on the planet right now, at least in the United States, is used in servicing technology. Roughly, three-quarters of the gasoline that you use in your car is used to move the car and not you. You're just a minor passenger in this whole thing. We have energy used to heat the warehouses that are holding the stuff that we have or to move the stuff that we have. Already this Technium is consuming three-quarters of our energy.

That is also where it's going. There will be more technology used to support more technology. Most of the traffic on the Internet is not people talking to each other; it's machines talking to other machines.

in the places where support for Mr. Trump runs the strongest, the proportion of the white population that didn’t finish high school is relatively high. So is the proportion of working-age adults who neither have a job nor are looking for one. The third-strongest correlation among hundreds of variables tested: the preponderance of mobile homes.

Trump counties include places that have voted for both Republicans and Democrats, and the strongest predictors of Trump support include how a county responded to two very different third-party candidates: Trump territory showed stronger support for the segregationist George Wallace in the 1968 election than the rest of the country, and substantially weaker support for the centrist former Republican John B. Anderson in 1980.

the economic problems that line up with strong Trump support have long been in the making, and defy simple fixes.

have any of the individuals commenting ever met or talked to the uneducated trailer dwellers referred to in this article. I think not. This poor pitiful underclass that we must now fix as true liberals has been making poor decisions for decades. Serial children withe serial mothers and resulting large child support payments. Job hopping and laying around the house all winter when laid off while waiting for the Wife to get home from work and make dinner. Gun purchases for thousands of dollars and 45,000 dollar trucks on an annual income of 35,000. Cashing in 401ks. To buy the latest 4 Wheeler. Oh and don't forget the biannual trips to Disney world or to hunt out west on credit cards. I sprang from uneducated people of another generation and the men by and large did not engage in self destructive behavior like this. sorry you make your bed and don't expect me to cry about it.

I think at least half of the American political class, the republican half, wants Americans to be ignorant. The ignorant are easily duped and manipulated. The GOP establishment clearly knows that, but they never expected someone like Trump to beat them at their own game. That explains why the GOP is generally unwilling to adequately fund public education and is content to punish the non-rich who seek higher education by burying them in debt.

Until now I had deceived myself into believing that I am a college educated hard working East coast Caucasian with moderate views and a penchant for reading a multi-faceted world class newspaper. However, the continued biased reports concerning Mr. Trump and his campaign are quite distasteful and have completely lost objectivity.Now, the journalistic attacks have moved toward his supporters and potential voters. Well, as with many of my fellow unintelligent white trash friends this only cements my unwavering support for the Trump campaign.

I have seen technology take jobs from people more than immigrants. It is a terrible feeling. Most of my peers and I are now working freelance jobs. Sometimes its voluntary but often times it is because we can't find full time jobs with benefits. For those of us over 60 it is the only work available. If you have never been independent you are in for a shock at how hard it can be to run a small sole proprietor business from scratch.

Enormous advances in technology have made the trans-oceanic distances disappear. Foreign-based administrative jobs are now transparent, meaning that "back-room" corporate jobs such as payroll, accounting and corporate management can be off-shored. Jobs in this category also include computer software development and computer system help-line support. The concept of the "virtual corporation", which maintains low levels of "project managers" can scale up or down, and only a small "corporate core" needs to be physically in the USA.

Trump has said that he hires people from other countries over American citizens and thinks Americans are already overpaid. So, why is he so popular with the angry voters who are living from paycheck to paycheck or were forced to retire? Trump is part of the problem, not the solution. The working class voters need wage insurance or a living wage solution and they need the government to step in and help them. Remember the WPA programs from the 30s? My guess is that Trump's supporters don't want to be the takers after years of thinking they were above that and were the makers. Surprise, we are all in the same boat.

there is a much bigger issue than creating jobs for these people. It is figuring out why so many are incapable of learning at a college level and beyond. I refuse to believe that it is nature dictating such a limitation. My money is on nurture; therefore, my money is on being able to solve that problem too.

Until we as a country stop treating intelligence as a disease and take steps to improve education across the board, this is what the fall-out will be. It was only a matter of time before someone figured out they could get to the White House by courting the angry white people vote.

among high school or less, 40% some college, but 33% among college graduates, and 19% among the post-graduates. In no election did Trump get the vote of the majority of college graduates or postgraduates. The education gap is consistent and steady. The gender gap is equally consistent.

The jobs engine the drove the US to its post war boom was the manufacturing sector. That has been gutted - by US consumer decisions.FDR did not practice racial identity politics.

Racism lurks - always - near the surface for ALL human beings. Don't believe me? Go take Harvard's Project Implicit tests (free) and learn about your own racist proclivities!By nature, all human beings tend toward tribalism; we are *wired* to notice and react to "difference". Civilization is the mass awareness of that proclivity towards shunning or rejecting "the other" and creating laws to stop it from becoming reality.When people become stressed, the veneer of civilization starts to break down - our more primitive, wired behaviors take over. That's what is happening now.We also have a huge propensity - as a species - towards cooperation. We have to somehow keep pursuing that "Better Angel of Our Nature" to keep the tide from turning permanently ugly.

As I read this article I began to confront an uncomfortable reality. We, as a society are to blame for Mr. Trump's support. Apparently we have ignored or overlooked the tragic plight faced by a sizable minority. Imagine the unemployed coal minor in West Virgina. His financial life is probably a shambles and he has no realistic prospect of recovering. He feels hopeless and abandoned. He sees publicized efforts to address problems of ethnic minorities and immigrants, yet he sits cold and jobless without anyone clamoring to address his situation. He starts getting angry and frustrated.Then, out of nowhere someone comes who appears to want to fight for him. Finally, someone who might champion his cause. Bring back jobs. Stop cheap labor from coming in.

Nationally, 23 percent of the 25-to-54-year-old population was not working in March, up from 18 percent in 2000. The areas where Trump is most popular appear to be at the forefront of that trend.

Don't people realize that technology, computers, automation and especially robots have replaced more manufacturing and more factories than all the illegal immigrants ever have? On many factory floors you hardly see any human beings at all. Every product is whisked along conveyor belts and assembled (or cooked), and then inspected, labeled, packaged and shipped with a minimum of human intervention. That's today's world. What are we to do? Protest against computers and robots.Also, American corporations have zero loyalty to the USA. Their loyalty is to their bottom line. They take advantage of every tax loophole they can; and if their product is labor intensive they would much rather pay 5000 workers a dollar a day with no benefits rather than stay in America and have to pay someone $18 an hour will vacation time, holiday time off, Soc Sec taxes and Medicare taxes.

This is the Party of Stupid the Republican carefully constructed through painstaking racism, defunding of public education, defunding of infrastructure, hate radio, Fox-Henhouse News and trickle-down poverty.Donald Trump's supporters are the direct result of the Republican's decades-long efforts at dumbing down a large swath of Americans.The Republican Party needs to take a giant proud bow as their electorate walks down the runway of nationally-assisted-suicide.

The irony of all this is that, yes, the world is shifting out from under the feet of the less-educated poor, but none of us face a really BIG or YUGE problem like slavery, Civil War, total war, a Great Depression, or even a gold/silver conflict. Yet Ken Lay and others can seriously muse over the possibility of secession from the union.The goals that so many of T's supporters are crying for are already in the process of being achieved -- the debt is too high but the national deficit has been cut in half under Obama. Millions now have health care that they didn't have before. "Taxed Enough Already" couldn't be more of an inept slogan.I wonder sometimes if the collapse of the USSR was such a good thing. Having a common enemy provided a kind of glue that held us together. Now some of us seem -- recklessly., hysterically, feverishly -- anxious to find an equally powerful enemy in our own ranks.

I can't count the number of my husband's uneducated white southern relations who have taken extensive advantage, repeatedly, of both state and federal programs, including unemployment, food stamps, occasional welfare, and (sometimes specious) "disability." (My husband's mother was one of 11 born to poor sharecroppers, and the only one to leave her subculture

Oh, and about the "myth" that opposition to Islam is only is by simplistic Islamophobes. Let me suggest for those who didn't get to it, this article about about the premier public intellectual of France: "Once Hopeful for Harmony, a Philosopher Voices Discord in France" It said that he has concluded that Islam is not comparable with 'Western enlightenment values."

It's obvious that the changing economy has structurally disadvantaged many less educated people across America. But, it is also true that economically distressed whites enjoy access to exactly the same programs that assist minorities. They just don't "feel" like this is true.

Truth be told, Trump is supported by numerous highly educated people who choose not to support known liars and/or socialists. These same people are tired of candidates who are bought and paid for by secret and evil Super PACs-- Trump is not controlled by these groups. Rubio, Kasich, Cruz and C;inton are.

The counties where Trump is most popular also have the lowest employment participation rates. Ordinarily, those folks would be expected to vote Democratic, which is more likely to continue the government spending that sustains them. Trump followers are willing to support him even though it is probably against their economic interest.So how to explain this? The strong correlation to previous support for George Wallace suggests it's about identity. A certain segment of the population does not accept diversity and change. They cling to white supremacy. The irony, as the article notes, is that these are the same folks who self-identify their heritage as "American," rather than, say "English" or "German." However, to me, they seem very un-American.

If policy hadn't been influenced by campaign funding, perhaps we would be in a better situation. Maybe congress would have paid more attention to improving the education system. It's a shame that most people don't understand that their only true weapon is voting for someone that isn't in debt to an industry. If we don't change our campaign finance system, nothing will change. Our voices will never be heard, our needs will never be met and policy will continue to favor profit, not people.

You are misinterpreting the analysis. This is a correlation analysis and what it says is that there is a moderately strong positive correlation between the % of people in a county that are white and have no high school and the % of people that support Trump. The 61 number is the correlation coefficient. The analysis does NOT show that folks in mobile homes vote for Trump.

There is only one interesting question regarding Trump: can he win Ohio and Florida in the national elections? Otherwise his campaign will turn into a footnote in American history like the campaign of many other unsuccessful candidates (Dukakis someone?). His voters, then, will be forgotten, as they usually are, until the next elections. That's the only time America's, winner takes it all culture, remembers those people exist.

However crude his message, on trade Trump has a legitimate point, which is that the US (not US companies, which don't care about international boundaries, but US workers) has got the short end of trade deals for decades. Whatever benefits the US has gleaned from these deals, they are minuscule compared to their utterly transformative effects on India, Mexico and especially China, which begs the question of why we couldn't have negotiated a better deal, one less devastating to old-line manufacturing. It often seems US negotiators are driven more by a religious belief in and devotion to free-trade principles, than by national self-interest. Trump may be unfit to be president, but I don't doubt he would have driven a harder bargain and come out with a better deal, if only because, unlike US negotiators, he'd be fully prepared to walk away from a deal he didn't like.

It's high time we re-engage in our communities with love and empathy. We need less talk of the theoretical economics underpinning trade deals and the credibility of climate science. It's not because these things are unimportant or irrelevant to governing in a complex world, but because our neighbors are afraid we've forgotten them in all our sophistication. They need to hear and see that we care about them. Our ideas about common efforts to improve their lives need to be less about class and more about community. We need to be clear that even the least among us are important to our common future

So many of the comments on this piece seem to fall into the category of subliminal rationales for long held prejudices that many of us have but don't understand.

this analysis didn’t show a particularly powerful relationship between the racial breakdown of a county and its likelihood of voting for Trump. There are Trump-supporting counties where very high proportions of the population are African-American and others where it was very low, for example.

There's a very powerful stigma associated with being poor in this country. Frankly, it makes it nearly impossible for an elite institution like the Times to write about poor populations without those same people perceiving a condescending tone. At the first mention of trailer parks--even if that is an apt descriptor for a type of housing--the words begin to cut and defenses rise. When spoken by a rich person, those words demean, even if they're not meant to by the speaker

The problem is that "Thug Trump," just so happens to touch on some truths, and existing bi-partisan defects that we ignore. Funny, as different as they are, Ralph Nader made the same point, that the major defects of our country are supported by both parties and thus untouchable. I guess the nature of a revolutionary is part misfit but also sensing the time is ripe for a drastic change. It may be better to look less at the person, and more that the endemic defects that he promises to change. From Huey Long to Norman Thomas, outsiders have had positive effects.

These relatives, who are very pleasant to talk to on a one-to-one basis, are the same people who send us rabid chain emails about how Obama hates America, how we need to "take back our country," etc. "The blacks" are "parasites and takers" and the real reason they invariably vote Republican. They see no relationship between their own "taking" and the "taking" by blacks and Hispanics.

Whether Trump can appeal to enough independent or even blue collar Democrats is problematic absent some sensational catastrophe in the economy or in government. But you never know. Recall the charge of "Rum, Romanism, and rebellion" late in the 1884 election. It changed history

I bought into that "it's the fault of freeloaders" shtick for years, until i was laid off at age 50. Suddenly, I was one of those "freeloaders" with a 30 year impeccable work history and it changed my mind drastically. I've run into people like me from all walks of life; people with degrees and skills who lost jobs and are cut out of returning to the world of employment. I found something eventually, but at half the pay with no benefits. I don't support Trump but he's tapped into the lives of people like me. Globalization has showed us that for those at the very top, the elites, our country and it's workers don't matter much as long as the money keeps flowing. Unfortunately, I can't see that Trump would do much to change that

racism in the US is complicated. Some people who say the right things do the worst things, and vice versa. What gets you in trouble is saying blue-collar stuff like "nappy-headed ho's" White liberals are the most politically correct and the most critical of crude speech. But white liberals often have less contact with blacks than any other whites. Bigotry is not easily identified.

One of the strongest predictors of Trump support is the proportion of the population that is native-born. Relatively few people in the places where Trump is strong are immigrants — and, as their answers on their ancestry reveal, they very much wear Americanness on their sleeve.

The point is that now, the entire middle class and working class have been fleeced by the Repubs AND the Dems, elected representatives who have shirked their duties and spent their time helping their billionaire puppetmasters.

Bernie supporters and Trump supporters have something big in common: their basic grievance, which is that the economy is rigged for the 1%. It's helpful to understand our differences, but then we should be finding common ground, not calling each other names. We're all people; we all deserve dignity and respect.

We are in the early throes of another revolution now, and this one will even more dramatically favor those with superior cognitive abilities and education over those with average or below average cognitive abilities and education. Yet all people at all levels need to eat, have shelter, and pursue lives of dignity and meaning. It remains unclear what kind of society will emerge from the current disruptions, but it is increasingly obvious that the transition will not be pretty.

So it sounds like a simple fix: Impose more friction at the major platform level and you’ll clean up the public square.

But it’s not actually that simple because friction runs counter to the very idea of the internet.

The fundamental precept of the internet is that it reduces marginal costs to zero. And this fact is why the design paradigm of the internet is to continually reduce friction experienced by users to zero, too. Because if the second unit of everything is free, then the internet has a vested interest in pushing that unit in front of your eyeballs as smoothly as possible.

the internet is “broken,” but rather it’s been functioning exactly as it was designed to:

Perhaps more than any other job in the world, you do not want the President of the United States to live in a frictionless state of posting. The Presidency is not meant to be a frictionless position, and the United States government is not a frictionless entity, much to the chagrin of many who have tried to change it. Prior to this administration, decisions were closely scrutinized for, at the very least, legality, along with the impact on diplomacy, general norms, and basic grammar. This kind of legal scrutiny and due diligence is also a kind of friction--one that we now see has a lot of benefits. 

The deep lesson here isn’t about Donald Trump. It’s about the collision between the digital world and the real world.

In the real world, marginal costs are not zero. And so friction is a desirable element in helping to get to the optimal state. You want people to pause before making decisions.

described friction this summer as: “anything that inhibits user action within a digital interface, particularly anything that requires an additional click or screen.” For much of my time in the technology sector, friction was almost always seen as the enemy, a force to be vanquished. A “frictionless” experience was generally held up as the ideal state, the optimal product state.

Trump was riding the ultimate frictionless optimized engagement Twitter experience: he rode it all the way to the presidency, and then he crashed the presidency into the ground.

From a metrics and user point of view, the abstract notion of the President himself tweeting was exactly what Twitter wanted in its original platonic ideal. Twitter has been built to incentivize someone like Trump to engage and post

The other day we talked a little bit about how fighting disinformation, extremism, and online cults is like fighting a virus: There is no “cure.” Instead, what you have to do is create enough friction that the rate of spread becomes slow.

Our challenge is that when human and digital design comes into conflict, the artificial constraints we impose should be on the digital world to become more in service to us. Instead, we’ve let the digital world do as it will and tried to reconcile ourselves to the havoc it wreaks.

And one of the lessons of the last four years is that when you prize the digital design imperatives—lack of friction—over the human design imperatives—a need for friction—then bad things can happen.

We have an ongoing conflict between the design precepts of humans and the design precepts of computers.

Anyone who works with computers learns to fear their capacity to forget. Like so many things with computers, memory is strictly binary. There is either perfect recall or total oblivion, with nothing in between. It doesn't matter how important or trivial the information is. The computer can forget anything in an instant. If it remembers, it remembers for keeps.

This doesn't map well onto human experience of memory, which is fuzzy. We don't remember anything with perfect fidelity, but we're also not at risk of waking up having forgotten our own name. Memories tend to fade with time, and we remember only the more salient events.

And because we live in a time when storage grows ever cheaper, we learn to save everything, log everything, and keep it forever. You never know what will come in useful. Deleting is dangerous.

Our lives have become split between two worlds with two very different norms around memory.

[A] lot of what's wrong with the Internet has to do with memory. The Internet somehow contrives to remember too much and too little at the same time, and it maps poorly on our concepts of how memory should work.

The digital world is designed to never forget anything. It has perfect memory. Forever. So that one time you made a crude joke 20 years ago? It can now ruin your life.

Memory in the carbon-based world is imperfect. People forget things. That can be annoying if you’re looking for your keys but helpful if you’re trying to broker peace between two cultures. Or simply become a better person than you were 20 years ago.

The digital and carbon-based worlds have different design parameters. Marginal cost is one of them. Memory is another.

2. Forget Me Now

1. Fix Tech, Fix America

since 2010, the cost of a gigabyte of hard-drive space has fallen from 10 cents to 1 cent. Why spend your one wild and precious life organizing app icons on a home screen? Why throw out books when you can always buy a new bookshelf?

Each of us became a wanderer in a sea of content. Each of us adopted the tacit—but still shameful—assumption that we are just treading water, that the clock is always running, and that the work will never end

What the idealized iPhone user and the idealized Gmail user shared was a perfect executive-functioning system: Every time they picked up their phone or opened their web browser, they knew exactly what they wanted to do, got it done with a calm single-mindedness, and then closed their device

the implicit promise of Gmail-style computing. The explosion of cloud storage and the invention of smartphones both arrived at roughly the same time, and they both subverted the idea that we should organize our computer. What they offered in its place was a vision of ease and readiness.

When iTunes launched in January 2001, Apple’s software was a place to organize the MP3s and other music files on your desktop computer. (It was not yet even a tool to sync an iPod, because the first iPod didn’t come out until October 2001.) But within a few years, it became a “digital hub,” a place to organize your music and movies and, eventually, iPhone, which debuted in 2007

“TrickBot’s botnet has infected hundreds of thousands, if not millions of computers,”

The catalyst, Mr. Burt said, was seeing that TrickBot’s operators had added “surveillance capabilities” that allowed them to spy on infected computers and note which belonged to election officials. From there, he and other experts speculated, it would not be difficult for cybercriminals, or state actors, to freeze up election systems in the days leading up to the election and after.

Over the past year, TrickBot has become the primary delivery mechanism for the Russian-speaking cybercriminals behind a specific variant of ransomware, known as Ryuk, that has been paralyzing American hospitals, corporations, towns and cities

others point to attacks on the Georgian government by cybercriminals at the direction of the Kremlin and a breach at Yahoo. In that attack, two Russian agents at the F.S.B., the successor to the K.G.B., teamed up with two cybercriminals to hack 500 million Yahoo accounts, allowing criminals to profit while mining their access to spy on journalists, dissidents and American officials.

They also note that when the Treasury Department imposed sanctions on members of an elite Russian cybercrime group in December, they outed the group’s leader as a member of the F.S.B.

“Russia is well aware that the cybercriminals it harbors have become a serious problem for its adversaries,” Mr. Hultquist added. “Russian cybercriminals are probably a greater threat to our critical infrastructure than their intelligence services. We should start asking whether their tacit approval of cybercrime is not just a marriage of convenience but a deliberate strategy to harass the West.”

agents will open up many more learning opportunities.

Already, AI can help you pick out a new TV and recommend movies, books, shows, and podcasts. Likewise, a company I’ve invested in, recently launched Pix, which lets you ask questions (“Which Robert Redford movies would I like and where can I watch them?”) and then makes recommendations based on what you’ve liked in the past

Productivity

copilots can do a lot—such as turn a written document into a slide deck, answer questions about a spreadsheet using natural language, and summarize email threads while representing each person’s point of view.

I don’t think any single company will dominate the agents business--there will be many different AI engines available.

Helping patients and healthcare workers will be especially beneficial for people in poor countries, where many never get to see a doctor at all.

To create a new app or service, you won’t need to know how to write code or do graphic design. You’ll just tell your agent what you want. It will be able to write the code, design the look and feel of the app, create a logo, and publish the app to an online store

Agents will do even more. Having one will be like having a person dedicated to helping you with various tasks and doing them independently if you want. If you have an idea for a business, an agent will help you write up a business plan, create a presentation for it, and even generate images of what your product might look like

For decades, I’ve been excited about all the ways that software would make teachers’ jobs easier and help students learn. It won’t replace teachers, but it will supplement their work—personalizing the work for students and liberating teachers from paperwork and other tasks so they can spend more time on the most important parts of the job.

Mental health care is another example of a service that agents will make available to virtually everyone. Today, weekly therapy sessions seem like a luxury. But there is a lot of unmet need, and many people who could benefit from therapy don’t have access to it.

Entertainment and shopping

The real shift will come when agents can help patients do basic triage, get advice about how to deal with health problems, and decide whether they need to seek treatment.

They’ll replace word processors, spreadsheets, and other productivity apps.

Education

For example, few families can pay for a tutor who works one-on-one with a student to supplement their classroom work. If agents can capture what makes a tutor effective, they’ll unlock this supplemental instruction for everyone who wants it. If a tutoring agent knows that a kid likes Minecraft and Taylor Swift, it will use Minecraft to teach them about calculating the volume and area of shapes, and Taylor’s lyrics to teach them about storytelling and rhyme schemes. The experience will be far richer—with graphics and sound, for example—and more personalized than today’s text-based tutors.

your agent will be able to help you in the same way that personal assistants support executives today. If your friend just had surgery, your agent will offer to send flowers and be able to order them for you. If you tell it you’d like to catch up with your old college roommate, it will work with their agent to find a time to get together, and just before you arrive, it will remind you that their oldest child just started college at the local university.

To see the dramatic change that agents will bring, let’s compare them to the AI tools available today. Most of these are bots. They’re limited to one app and generally only step in when you write a particular word or ask for help. Because they don’t remember how you use them from one time to the next, they don’t get better or learn any of your preferences.

Agents will affect how we use software as well as how it’s written. They’ll replace search sites because they’ll be better at finding information and summarizing it for you

Businesses that are separate today—search advertising, social networking with advertising, shopping, productivity software—will become one business.

other issues won’t be decided by companies and governments. For example, agents could affect how we interact with friends and family. Today, you can show someone that you care about them by remembering details about their life—say, their birthday. But when they know your agent likely reminded you about it and took care of sending flowers, will it be as meaningful for them?

In the computing industry, we talk about platforms—the technologies that apps and services are built on. Android, iOS, and Windows are all platforms. Agents will be the next platform.

A shock wave in the tech industry

Agents won’t simply make recommendations; they’ll help you act on them. If you want to buy a camera, you’ll have your agent read all the reviews for you, summarize them, make a recommendation, and place an order for it once you’ve made a decision.

The current state of the art is Khanmigo, a text-based bot created by Khan Academy. It can tutor students in math, science, and the humanities—for example, it can explain the quadratic formula and create math problems to practice on. It can also help teachers do things like write lesson plans.

they’ll be dramatically better. You’ll be able to have nuanced conversations with them. They will be much more personalized, and they won’t be limited to relatively simple tasks like writing a letter.

Companies will be able to make agents available for their employees to consult directly and be part of every meeting so they can answer questions.

AI agents that are well trained in mental health will make therapy much more affordable and easier to get. Wysa and Youper are two of the early chatbots here. But agents will go much deeper. If you choose to share enough information with a mental health agent, it will understand your life history and your relationships. It’ll be available when you need it, and it will never get impatient. It could even, with your permission, monitor your physical responses to therapy through your smart watch—like if your heart starts to race when you’re talking about a problem with your boss—and suggest when you should see a human therapist.

If the number of companies that have started working on AI just this year is any indication, there will be an exceptional amount of competition, which will make agents very inexpensive.

Agents are smarter. They’re proactive—capable of making suggestions before you ask for them. They accomplish tasks across applications. They improve over time because they remember your activities and recognize intent and patterns in your behavior. Based on this information, they offer to provide what they think you need, although you will always make the final decisions.

Agents are not only going to change how everyone interacts with computers. They’re also going to upend the software industry, bringing about the biggest revolution in computing since we went from typing commands to tapping on icons.

In the distant future, agents may even force humans to face profound questions about purpose. Imagine that agents become so good that everyone can have a high quality of life without working nearly as much. In a future like that, what would people do with their time? Would anyone still want to get an education when an agent has all the answers? Can you have a safe and thriving society when most people have a lot of free time on their hands?

The ramifications for the software business and for society will be profound.

In the next five years, this will change completely. You won’t have to use different apps for different tasks. You’ll simply tell your device, in everyday language, what you want to do. And depending on how much information you choose to share with it, the software will be able to respond personally because it will have a rich understanding of your life. In the near future, anyone who’s online will be able to have a personal assistant powered by artificial intelligence that’s far beyond today’s technology.

You’ll also be able to get news and entertainment that’s been tailored to your interests. CurioAI, which creates a custom podcast on any subject you ask about, is a glimpse of what’s coming.

An agent will be able to help you with all your activities if you want it to. With permission to follow your online interactions and real-world locations, it will develop a powerful understanding of the people, places, and activities you engage in. It will get your personal and work relationships, hobbies, preferences, and schedule. You’ll choose how and when it steps in to help with something or ask you to make a decision.

even the best sites have an incomplete understanding of your work, personal life, interests, and relationships and a limited ability to use this information to do things for you. That’s the kind of thing that is only possible today with another human being, like a close friend or personal assistant.

The most exciting impact of AI agents is the way they will democratize services that today are too expensive for most people

They’ll have an especially big influence in four areas: health care, education, productivity, and entertainment and shopping.

An aperiodic tiling displays no such “translational symmetry,” and mathematicians have long sought a single shape that could tile the plane in such a fashion. This is known as the einstein problem.

“I’m always messing about and experimenting with shapes,” said Mr. Smith, 64, who worked as a printing technician, among other jobs, and retired early. Although he enjoyed math in high school, he didn’t excel at it, he said. But he has long been “obsessively intrigued” by the einstein problem.

now a new paper — by Mr. Smith and three co-authors with mathematical and computational expertise — proves Mr. Smith’s discovery true. The researchers called their einstein “the hat,

“The most significant aspect for me is that the tiling does not clearly fall into any of the familiar classes of structures that we understand.”

black and white squares also can make weird nonperiodic patterns, in addition to the familiar, periodic checkerboard pattern. “It’s really pretty trivial to be able to make weird and interesting patterns,” he said. The magic of the two Penrose tiles is that they make only nonperiodic patterns — that’s all they can do.“But then the Holy Grail was, could you do with one — one tile?” Dr. Goodman-Strauss said.

Sir Roger found the proofs “very complicated.” Nonetheless, he was “extremely intrigued” by the einstein, he said: “It’s a really good shape, strikingly simple.”

The simplicity came honestly. Mr. Smith’s investigations were mostly by hand; one of his co-authors described him as an “imaginative tinkerer.”

When in November he found a tile that seemed to fill the plane without a repeating pattern, he emailed Craig Kaplan, a co-author and a computer scientist at the University of Waterloo.

“It was clear that something unusual was happening with this shape,” Dr. Kaplan said. Taking a computational approach that built on previous research, his algorithm generated larger and larger swaths of hat tiles. “There didn’t seem to be any limit to how large a blob of tiles the software could construct,”

The first step, Dr. Kaplan said, was to “define a set of four ‘metatiles,’ simple shapes that stand in for small groupings of one, two, or four hats.” The metatiles assemble into four larger shapes that behave similarly. This assembly, from metatiles to supertiles to supersupertiles, ad infinitum, covered “larger and larger mathematical ‘floors’ with copies of the hat,” Dr. Kaplan said. “We then show that this sort of hierarchical assembly is essentially the only way to tile the plane with hats, which turns out to be enough to show that it can never tile periodically.”

some might wonder whether this is a two-tile, not one-tile, set of aperiodic monotiles.

Dr. Goodman-Strauss had raised this subtlety on a tiling listserv: “Is there one hat or two?” The consensus was that a monotile counts as such even using its reflection. That leaves an open question, Dr. Berger said: Is there an einstein that will do the job without reflection?

“the hat” was not a new geometric invention. It is a polykite — it consists of eight kites. (Take a hexagon and draw three lines, connecting the center of each side to the center of its opposite side; the six shapes that result are kites.)

“It’s likely that others have contemplated this hat shape in the past, just not in a context where they proceeded to investigate its tiling properties,” Dr. Kaplan said. “I like to think that it was hiding in plain sight.”

Incredibly, Mr. Smith later found a second einstein. He called it “the turtle” — a polykite made of not eight kites but 10. It was “uncanny,” Dr. Kaplan said. He recalled feeling panicked; he was already “neck deep in the hat.”

Dr. Myers, who had done similar computations, promptly discovered a profound connection between the hat and the turtle. And he discerned that, in fact, there was an entire family of related einsteins — a continuous, uncountable infinity of shapes that morph one to the next.

this einstein family motivated the second proof, which offers a new tool for proving aperiodicity. The math seemed “too good to be true,” Dr. Myers said in an email. “I wasn’t expecting such a different approach to proving aperiodicity — but everything seemed to hold together as I wrote up the details.”

Mr. Smith was amazed to see the research paper come together. “I was no help, to be honest.” He appreciated the illustrations, he said: “I’m more of a pictures person.”

The key issue is not “human-competitive” intelligence (as the open letter puts it); it’s what happens after AI gets to smarter-than-human intelligence. Key thresholds there may not be obvious, we definitely can’t calculate in advance what happens when, and it currently seems imaginable that a research lab would cross critical lines without noticing.

Many researchers steeped in these issues, including myself, expect that the most likely result of building a superhumanly smart AI, under anything remotely like the current circumstances, is that literally everyone on Earth will die. Not as in “maybe possibly some remote chance,” but as in “that is the obvious thing that would happen.”

It’s not that you can’t, in principle, survive creating something much smarter than you; it’s that it would require precision and preparation and new scientific insights, and probably not having AI systems composed of giant inscrutable arrays of fractional numbers.

Absent that caring, we get “the AI does not love you, nor does it hate you, and you are made of atoms it can use for something else.”

Without that precision and preparation, the most likely outcome is AI that does not do what we want, and does not care for us nor for sentient life in general. That kind of caring is something that could in principle be imbued into an AI but we are not ready and do not currently know how.

The likely result of humanity facing down an opposed superhuman intelligence is a total loss

To visualize a hostile superhuman AI, don’t imagine a lifeless book-smart thinker dwelling inside the internet and sending ill-intentioned emails. Visualize an entire alien civilization, thinking at millions of times human speeds, initially confined to computers—in a world of creatures that are, from its perspective, very stupid and very slow. A sufficiently intelligent AI won’t stay confined to computers for long. In today’s world you can email DNA strings to laboratories that will produce proteins on demand, allowing an AI initially confined to the internet to build artificial life forms or bootstrap straight to postbiological molecular manufacturing.

There’s no proposed plan for how we could do any such thing and survive. OpenAI’s openly declared intention is to make some future AI do our AI alignment homework. Just hearing that this is the plan ought to be enough to get any sensible person to panic. The other leading AI lab, DeepMind, has no plan at all.

An aside: None of this danger depends on whether or not AIs are or can be conscious; it’s intrinsic to the notion of powerful cognitive systems that optimize hard and calculate outputs that meet sufficiently complicated outcome criteria.

I didn’t also mention that we have no idea how to determine whether AI systems are aware of themselves—since we have no idea how to decode anything that goes on in the giant inscrutable arrays—and therefore we may at some point inadvertently create digital minds which are truly conscious and ought to have rights and shouldn’t be owned.

I refrained from signing because I think the letter is understating the seriousness of the situation and asking for too little to solve it.

the thing about trying this with superhuman intelligence is that if you get that wrong on the first try, you do not get to learn from your mistakes, because you are dead. Humanity does not learn from the mistake and dust itself off and try again, as in other challenges we’ve overcome in our history, because we are all gone.

If we held anything in the nascent field of Artificial General Intelligence to the lesser standards of engineering rigor that apply to a bridge meant to carry a couple of thousand cars, the entire field would be shut down tomorrow.

We are not on course to be prepared in any reasonable time window. There is no plan. Progress in AI capabilities is running vastly, vastly ahead of progress in AI alignment or even progress in understanding what the hell is going on inside those systems

Many researchers working on these systems think that we’re plunging toward a catastrophe, with more of them daring to say it in private than in public; but they think that they can’t unilaterally stop the forward plunge, that others will go on even if they personally quit their jobs.

This is a stupid state of affairs, and an undignified way for Earth to die, and the rest of humanity ought to step in at this point and help the industry solve its collective action problem.

When the insider conversation is about the grief of seeing your daughter lose her first tooth, and thinking she’s not going to get a chance to grow up, I believe we are past the point of playing political chess about a six-month moratorium.

The moratorium on new large training runs needs to be indefinite and worldwide. There can be no exceptions, including for governments or militaries. If the policy starts with the U.S., then China needs to see that the U.S. is not seeking an advantage but rather trying to prevent a horrifically dangerous technology which can have no true owner and which will kill everyone in the U.S. and in China and on Earth

Here’s what would actually need to be done:

Shut down all the large GPU clusters (the large computer farms where the most powerful AIs are refined). Shut down all the large training runs

Put a ceiling on how much computing power anyone is allowed to use in training an AI system, and move it downward over the coming years to compensate for more efficient training algorithm

Track all GPUs sold. If intelligence says that a country outside the agreement is building a GPU cluster, be less scared of a shooting conflict between nations than of the moratorium being violated; be willing to destroy a rogue datacenter by airstrike.

Frame nothing as a conflict between national interests, have it clear that anyone talking of arms races is a fool

Make it explicit in international diplomacy that preventing AI extinction scenarios is considered a priority above preventing a full nuclear exchange, and that allied nuclear countries are willing to run some risk of nuclear exchange if that’s what it takes to reduce the risk of large AI training runs.

when your policy ask is that large, the only way it goes through is if policymakers realize that if they conduct business as usual, and do what’s politically easy, that means their own kids are going to die too.

the model’s calculations took into account trends in pollution levels, population growth, the amount of natural resources and the overall quality of life on Earth. The model’s predictions for the worsening quality of life and the dwindling natural resources have so far been unnervingly on target.

“At around 2020, the condition of the planet becomes highly critical. If we do nothing about it, the quality of life goes down to zero. Pollution becomes so seriously it will start to kill people, which in turn will cause the population to diminish, lower than it was in the 1900. At this stage, around 2040 to 2050, civilised life as we know it on this planet will cease to exist.”

Alexander King, the then-leader of the Club of Rome, evaluated the program’s results to also mean that nation-states will lose their sovereignty, forecasting a New World Order with corporations managing everything.

“Sovereignty of nations is no longer absolute,” King told ABC. “There is a gradual diminishing of sovereignty, little bit by little bit. Even in the big nations, this will happen.”

children and teenagers whose parents do not have a college degree spent 90 minutes more per day exposed to media than children from higher socioeconomic families. In 1999, the difference was just 16 minutes.

children of parents who do not have a college degree spend 11.5 hours each day exposed to media from a variety of sources, including television, computer and other gadgets. That is an increase of 4 hours and 40 minutes per day since 1999.

Children of more educated parents, generally understood as a proxy for higher socioeconomic status, also largely use their devices for entertainment. In families in which a parent has a college education or an advanced degree, Kaiser found, children use 10 hours of multimedia a day, a 3.5-hour jump since 1999.

“Despite the educational potential of computers, the reality is that their use for education or meaningful content creation is minuscule compared to their use for pure entertainment,” said Vicky Rideout, author of the decade-long Kaiser study. “Instead of closing the achievement gap, they’re widening the time-wasting gap.”

the company has been noticeably silent on viruses perpetrated in its own backyard, where Russian-speaking criminal syndicates controlled a third of the estimated $12 billion global cybercrime market last year, according to the Russian security firm Group-IB. Some say there is good reason. “He’s got family,” said Sean Sullivan, an adviser at F-Secure, a computer security firm in Helsinki. “I wouldn’t expect them to be the most aggressive about publicizing threats in their neighborhood for fear those neighbors would retaliate.”

in the past 30 years, software and robots have thrived at replacing a particular kind of occupation: the average-wage, middle-skill, routine-heavy worker, especially in manufacturing and office admin. 

the next wave of computer progress will continue to shred human work where it already has: manufacturing, administrative support, retail, and transportation. Most remaining factory jobs are "likely to diminish over the next decades," they write. Cashiers, counter clerks, and telemarketers are similarly endangered

here's a chart of the ten jobs with a 99-percent likelihood of being replaced by machines and software. They are mostly routine-based jobs (telemarketing, sewing) and work that can be solved by smart algorithms (tax preparation, data entry keyers, and insurance underwriters)

I've also listed the dozen jobs they consider least likely to be automated. Health care workers, people entrusted with our safety, and management positions dominate the list.

If you wanted to use this graph as a guide to the future of automation, your upshot would be: Machines are better at rules and routines; people are better at directing and diagnosing. But it doesn't have to stay that way.

Although the past 30 years have hollowed out the middle, high- and low-skill jobs have actually increased, as if protected from the invading armies of robots by their own moats

Higher-skill workers have been protected by a kind of social-intelligence moat. Computers are historically good at executing routines, but they're bad at finding patterns, communicating with people, and making decisions, which is what managers are paid to do

lower-skill workers have been protected by the Moravec moat. Hans Moravec was a futurist who pointed out that machine technology mimicked a savant infant: Machines could do long math equations instantly and beat anybody in chess, but they can't answer a simple question or walk up a flight of stairs. As a result, menial work done by people without much education (like home health care workers, or fast-food attendants) have been spared, too.

robots are finally crossing these moats by moving and thinking like people. Amazon has bought robots to work its warehouses. Narrative Science can write earnings summaries that are indistinguishable from wire reports. We can say to our phones I'm lost, help and our phones can tell us how to get home. 

In a decade, the idea of computers driving cars went from impossible to boring.

The first wave showed that machines are better at assembling things. The second showed that machines are better at organization things. Now data analytics and self-driving cars suggest they might be better at pattern-recognition and driving. So what are we better at?

One conclusion to draw from this is that humans are, and will always be, superior at working with, and caring for, other humans. In this light, automation doesn't make the world worse. Far from it: It creates new opportunities for human ingenuity.  

But robots are already creeping into diagnostics and surgeries. Schools are already experimenting with software that replaces teaching hours. The fact that some industries have been safe from automation for the last three decades doesn't guarantee that they'll be safe for the next one.

It would be anxious enough if we knew exactly which jobs are next in line for automation. The truth is scarier. We don't really have a clue.

Intel, founded by Gordon Moore and Robert Noyce, both physicists, began by building memory chips that were twice as fast as old ones. Sun Microsystems introduced a new kind of modular computer system, built by one of its founders, Andy Bechtolsheim. Their “big ideas” were expressed in physical products and grew out of their own technical expertise. In that light, Meraki, which came from Biswas’s work at M.I.T., can be seen as having its origins in the old guard. And it followed what was for decades the highway that connected academia to industry: Grad students researched technology, powerful advisers brokered deals, students dropped out to parlay their technologies into proprietary solutions, everyone reaped the profits. That implicit guarantee of academia’s place in entrepreneurship has since disappeared. Graduate students still drop out, but to start bike-sharing apps and become data scientists. That is, if they even make it to graduate school. The success of self-educated savants like Sean Parker, who founded Napster and became Facebook’s first president with no college education to speak of, set the template. Enstitute, a two-year apprenticeship, embeds high-school graduates in plum tech positions. Thiel Fellowships, financed by the PayPal co-founder and Facebook investor Peter Thiel, give $100,000 to people under 20 to forgo college and work on projects of their choosing.

Much of this precocity — or dilettantism, depending on your point of view — has been enabled by web technologies, by easy-to-use programming frameworks like Ruby on Rails and Node.js and by the explosion of application programming interfaces (A.P.I.s) that supply off-the-shelf solutions to entrepreneurs who used to have to write all their own code for features like a login system or an embedded map. Now anyone can do it, thanks to the Facebook login A.P.I. or the Google Maps A.P.I.

One of the more enterprising examples of these kinds of interfaces is the start-up Stripe, which sells A.P.I.s that enable businesses to process online payments. When Meraki first looked into taking credit cards online, according to Biswas, it was a monthslong project fraught with decisions about security and cryptography. “Now, with Stripe, it takes five minutes,” he said. “When you combine that with the ability to get a server in five minutes, with Rails and Twitter Bootstrap, you see that it has become infinitely easier for four people to get a start-up off the ground.”

The sense that it is no longer necessary to have particularly deep domain knowledge before founding your own start-up is real; that and the willingness of venture capitalists to finance Mark Zuckerberg look-alikes are changing the landscape of tech products. There are more platforms, more websites, more pat solutions to serious problems

There’s a glass-half-full way of looking at this, of course: Tech hasn’t been pedestrianized — it’s been democratized. The doors to start-up-dom have been thrown wide open. At Harvard, enrollment in the introductory computer-science course, CS50, has soared

many of the hottest web start-ups are not novel, at least not in the sense that Apple’s Macintosh or Intel’s 4004 microprocessor were. The arc of tech parallels the arc from manufacturing to services. The Macintosh and the microprocessor were manufactured products. Some of the most celebrated innovations in technology have been manufactured products — the router, the graphics card, the floppy disk

One of Stripe’s founders rowed five seat in the boat I coxed freshman year in college; the other is his older brother. Among the employee profiles posted on its website, I count three of my former teaching fellows, a hiking leader, two crushes. Silicon Valley is an order of magnitude bigger than it was 30 years ago, but still, the start-up world is intimate and clubby, with top talent marshaled at elite universities and behemoths like Facebook and Google.

Part of the answer, I think, lies in the excitement I’ve been hinting at. Another part is prestige. Smart kids want to work for a sexting app because other smart kids want to work for the same sexting app. “Highly concentrated pools of top talent are one of the rarest things you can find,” Biswas told me, “and I think people are really attracted to those environments.

The latter source of frustration is the phenomenon of “the 10X engineer,” an engineer who is 10 times more productive than average. It’s a term that in its cockiness captures much of what’s good, bad and impossible about the valley. At the start-ups I visit, Friday afternoons devolve into bouts of boozing and Nerf-gun wars. Signing bonuses at Facebook are rumored to reach the six digits. In a landscape where a product may morph several times over the course of a funding round, talent — and the ability to attract it — has become one of the few stable metrics.

there is a surprising amount of angst in Silicon Valley. Which is probably inevitable when you put thousands of ambitious, talented young people together and tell them they’re god’s gift to technology. It’s the angst of an early hire at a start-up that only he realizes is failing; the angst of a founder who raises $5 million for his company and then finds out an acquaintance from college raised $10 million; the angst of someone who makes $100,000 at 22 but is still afraid that he may not be able to afford a house like the one he grew up in.

San Francisco, which is steadily stealing the South Bay’s thunder. (“Sometime in the last two years, the epicenter of consumer technology in Silicon Valley has moved from University Ave. to SoMa,” Terrence Rohan, a venture capitalist at Index Ventures, told me

Both the geographic shift north and the increasingly short product cycles are things Jim attributes to the rise of Amazon Web Services (A.W.S.), a collection of servers owned and managed by Amazon that hosts data for nearly every start-up in the latest web ecosystem.Continue reading the main story

now, every start-up is A.W.S. only, so there are no servers to kick, no fabs to be near. You can work anywhere. The idea that all you need is your laptop and Wi-Fi, and you can be doing anything — that’s an A.W.S.-driven invention.”

This same freedom from a physical location or, for that matter, physical products has led to new work structures. There are no longer hectic six-week stretches that culminate in a release day followed by a lull. Every day is release day. You roll out new code continuously, and it’s this cycle that enables companies like Facebook, as its motto goes, to “move fast and break things.”

A few weeks ago, a programmer friend and I were talking about unhappiness, in particular the kind of unhappiness that arises when you are 21 and lavishly educated with the world at your feet. In the valley, it’s generally brought on by one of two causes: coming to the realization either that your start-up is completely trivial or that there are people your own age so knowledgeable and skilled that you may never catch up.

These days, a new college graduate arriving in the valley is merely stepping into his existing network. He will have friends from summer internships, friends from school, friends from the ever-increasing collection of incubators and fellowships.

As tech valuations rise to truly crazy levels, the ramifications, financial and otherwise, of a job at a pre-I.P.O. company like Dropbox or even post-I.P.O. companies like Twitter are frequently life-changing. Getting these job offers depends almost exclusively on the candidate’s performance in a series of technical interviews, where you are asked, in front of frowning hiring managers, to whip up correct and efficient code.

Moreover, a majority of questions seem to be pulled from undergraduate algorithms and data-structures textbooks, which older engineers may have not laid eyes on for years.

Economists have historically rejected what we call the “lump of labor” fallacy: the supposition that an increase in labor productivity inevitably reduces employment because there is only a finite amount of work to do. While intuitively appealing, this idea is demonstrably false.

Labor-saving technological change necessarily displaces workers performing certain tasks — that’s where the gains in productivity come from — but over the long run, it generates new products and services that raise national income and increase the overall demand for labor.

The multi-trillionfold decline in the cost of computing since the 1970s has created enormous incentives for employers to substitute increasingly cheap and capable computers for expensive labor.

Computers excel at “routine” tasks: organizing, storing, retrieving and manipulating information, or executing exactly defined physical movements in production processes. These tasks are most pervasive in middle-skill jobs

Logically, computerization has reduced the demand for these jobs, but it has boosted demand for workers who perform “nonroutine” tasks that complement the automated activities

At one end are so-called abstract tasks that require problem-solving, intuition, persuasion and creativity.

On the other end are so-called manual tasks, which require situational adaptability, visual and language recognition, and in-person interaction.

Computerization has therefore fostered a polarization of employment, with job growth concentrated in both the highest- and lowest-paid occupations, while jobs in the middle have declined.

overall employment rates have largely been unaffected in states and cities undergoing this rapid polarization.

So computerization is not reducing the quantity of jobs, but rather degrading the quality of jobs for a significant subset of workers. Demand for highly educated workers who excel in abstract tasks is robust, but the middle of the labor market, where the routine task-intensive jobs lie, is sagging.

Spurred by growing demand for workers performing abstract job tasks, the payoff for college and professional degrees has soared; despite its formidable price tag, higher education has perhaps never been a better investment.

The good news, however, is that middle-education, middle-wage jobs are not slated to disappear completely. While many middle-skill jobs are susceptible to automation, others demand a mixture of tasks that take advantage of human flexibility

we predict that the middle-skill jobs that survive will combine routine technical tasks with abstract and manual tasks in which workers have a comparative advantage — interpersonal interaction, adaptability and problem-solving.

this category includes numerous jobs for people in the skilled trades and repair: plumbers; builders; electricians; heating, ventilation and air-conditioning installers; automotive technicians; customer-service representatives; and even clerical workers who are required to do more than type and file

Lawrence F. Katz, a labor economist at Harvard, memorably called those who fruitfully combine the foundational skills of a high school education with specific vocational skills the “new artisans.”

The outlook for workers who haven’t finished college is uncertain, but not devoid of hope. There will be job opportunities in middle-skill jobs, but not in the traditional blue-collar production and white-collar office jobs of the past

we expect to see growing employment among the ranks of the “new artisans”: licensed practical nurses and medical assistants; teachers, tutors and learning guides at all educational levels; kitchen designers, construction supervisors and skilled tradespeople of every variety; expert repair and support technicians; and the many people who offer personal training and assistance, like physical therapists, personal trainers, coaches and guides