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There is no shortage of hype about artificial intelligence and big data, but models are the source of the real power behind these tools. A model is a decision framework in which the logic is derived by algorithm from data, rather than explicitly programmed by a developer or implicitly conveyed via a person’s intuition. The output is a prediction on which a decision can be mad

Once created, a model can learn from its successes and failures with speed and sophistication that humans usually cannot match

Building this system requires a mechanism (often software-based) to collect data, processes to create models from the data, the models themselves, and a mechanism (also often software based) to deliver or act on the suggestions from those models.

Rick started life, deep in the germinal phases of Rick and Morty, as a scabrous parody of “Doc” Brown from Back to the Future. But he’s evolved into something much stranger: Doctor Who crossed with Doctor Faustus crossed with Larry David crossed with William Burroughs crossed with my therapist. His view of existence—of which he has seen a supernatural amount, having traversed many universes—is desolate and bracing. He builds himself a tiny robot whose sole purpose is to stand on the kitchen table and pass him the butter. “What is my purpose?” asks the robot. “You pass butter,” says Rick. A pause. “Oh my God,” says the robot, head dropped, tiny tin hands hanging. “Yeah,” says Rick in his rancid, sardonic way. “Welcome to the club, pal.” His grandson, Morty, meanwhile, is constantly, stammeringly overwhelmed: “What the hell, Rick? What the hell?!”

I have wept with laughter at Rick and Morty; I have flinched in repulsion. The humor oscillates between an ingrown bro-ness, a cackling in the man cave, and something so emancipated and post-everything that it is nearly transcendent. Nearly, but not. “Nobody exists on purpose,” says Morty to his sister. “Nobody belongs anywhere, everybody’s gonna die. Come watch TV.” Rick, burping warlock of the spaceways, puts it differently: “When you know nothing matters, the universe is yours.”

If you’ve been wondering why Jordan B. Peterson, the Canadian professor, guru of modern masculinity, and author of 12 Rules for Life: An Antidote to Chaos, has been selling so many books and filling so many theaters, this is why. Rick and Morty is why. It’s no surprise, really, that a small and well-documented subset of the Rick and Morty fan base exhibits terrible, snickering, alienated-white-male troll behavior

Phoenix cannot escape the uncomfortable pattern taking shape across the American economy: Despite all its shiny new high-tech businesses, the vast majority of new jobs are in workaday service industries, like health care, hospitality, retail and building services, where pay is mediocre.

automation is changing the nature of work, flushing workers without a college degree out of productive industries, like manufacturing and high-tech services, and into tasks with meager wages and no prospect for advancement.

Automation is splitting the American labor force into two worlds. There is a small island of highly educated professionals making good wages at corporations like Intel or Boeing, which reap hundreds of thousands of dollars in profit per employee. That island sits in the middle of a sea of less educated workers who are stuck at businesses like hotels, restaurants and nursing homes that generate much smaller profits per employee and stay viable primarily by keeping wages low.

We don’t know how quickly machines will displace people’s jobs, or how many they’ll take, but we know it’s happening — not just to factory workers but also to money managers, dermatologists and retail workers.

The logical response seems to be to educate people differently, so they’re prepared to work alongside the robots or do the jobs that machines can’t. But how to do that, and whether training can outpace automation, are open questions.

Pew Research Center and Elon University surveyed 1,408 people who work in technology and education to find out if they think new schooling will emerge in the next decade to successfully train workers for the future. Two-thirds said yes; the rest said n

So you’re happily tweeting away as your Google self-driving car crosses a bridge, its speed precisely synced to the 50 m.p.h. limit. A group of frisky schoolchildren is also heading across the bridge, on the pedestrian walkway. Suddenly, there’s a tussle, and three of the kids are pushed into the road, right in your vehicle’s path. Your self-driving car has a fraction of a second to make a choice: Either it swerves off the bridge, possibly killing you, or it runs over the children. What does the Google algorithm tell it to do?

As we begin to have computer-controlled cars, robots, and other machines operating autonomously out in the chaotic human world, situations will inevitably arise in which the software has to choose between a set of bad, even horrible, alternatives. How do you program a computer to choose the lesser of two evils? What are the criteria, and how do you weigh them?

Since we humans aren’t very good at codifying responses to moral dilemmas ourselves, particularly when the precise contours of a dilemma can’t be predicted ahead of its occurrence, programmers will find themselves in an extraordinarily difficult situation. And one assumes that they will carry a moral, not to mention a legal, burden for the code they write.

By 2025, technologies that raise productivity by automating jobs that are not practical to automate today could be on their way to widespread adoption. …  Given the large numbers of jobs that could be affected by technologies such as advanced robotic and automated knowledge work, policy makers should consider the potential consequences of increasing divergence between the fates of highly skilled workers and those with fewer skills. The existing problem of a creating a labor force that fits the demands of a high-tech economy will only grow over time.

America’s future does not have to be “Bladerunner with food stamps.” But to avoid that, we need entrepreneurs to keep inventing new ways of combining technology and better-educated workers to create new industries and innovations. And government has a role to play in creating a fertile environment for education and entrepreneurship.

Failure could mean, writes Walter Russell Mead, the US ends up with the “mother of all welfare states [where] something like 80 percent or more of the population is going become superfluous to the economy. There will be no jobs where the work of this group could command a living wage; the state must somehow make provision for them or wait for them to fall into poverty and risk the social explosion that will probably follow.” And a  demoralized, stagnant society is more likely to push for redistributionist policies that will ensure the stagnation is permanent.

Using an artificial intelligence technique inspired by theories about how the brain recognizes patterns, technology companies are reporting startling gains in fields as diverse as computer vision, speech recognition and the identification of promising new molecules for designing drugs.

They offer the promise of machines that converse with humans and perform tasks like driving cars and working in factories, raising the specter of automated robots that could replace human workers.

what is new in recent months is the growing speed and accuracy of deep-learning programs, often called artificial neural networks or just “neural nets” for their resemblance to the neural connections in the brain.

Eduardo Porter: I read your very interesting column about the universal basic income, the quasi-magical tool to ensure some basic standard of living for everybody when there are no more jobs for people to do. What strikes me about this notion is that it relies on a view of the future that seems to have jelled into a certainty, at least among the technorati on the West Coast

the economic numbers that we see today don’t support this view. If robots were eating our lunch, it would show up as fast productivity growth. But as Robert Gordon points out in his new book, “The Rise and Fall of American Growth,” productivity has slowed sharply. He argues pretty convincingly that future productivity growth will remain fairly modest, much slower than during the burst of American prosperity in mid-20th century.

it relies on an unlikely future. It’s not a future with a lot of crummy work for low pay, but essentially a future with little or no paid work at all.

In addition to a list of people’s most-used words and other straightforward stats like follower counts, ThinkUp shows subscribers more unusual information such as how often they thank and congratulate people, how frequently they swear, whose voices they tend to amplify and which posts get the biggest reaction and from whom.

Every morning the service delivers an email packed with information, and in its weighty thoroughness, it reminds you that what you do on Twitter and Facebook can change your life, and other people’s lives, in important, sometimes unforeseen ways.

ThinkUp is something like Elf on the Shelf for digitally addled adults — a constant reminder that someone is watching you, and that you’re being judged.

the British government claimed vindication for its policies. Was this claim justified?

No, not at all. What actually happened was that the Tories stopped tightening the screws — they didn’t reverse the austerity that had already occurred, but they effectively put a hold on further cuts. So they stopped hitting Britain in the head with that baseball bat. And sure enough, the nation started feeling better.

What’s the important lesson from this late Obama bounce? Mainly, I’d suggest, that everything you’ve heard about President Obama’s economic policies is wrong.Continue reading the main story Continue reading the main story

Though Mr. Zemmour’s is a work of reactionary nostalgia and Mr. Houellebecq’s a futuristic fantasy, both books have hit the dominant note in the national mood today: “inquiétude,” or profound anxiety about the future.

broadly, concern has grown that the political center is eroding and that extremes are rising in a way reminiscent of the 1930s, along with a sense that France, which prides itself on its republican tradition and strong, centralized state, has ceded too much power to the European Union.

“Houellebecq uses his talent, if I may say so, to exalt or to highlight this aspect of a collective fear that is descending upon us,” the philosopher Malek Chebel, who is Muslim, said on France 2 television this week. “I reproach him for it, all the more so that he is a great writer, and when you are a great writer, you have more responsibilities.”

Fifty years ago, on April 19, 1965, chemist and reluctant entrepreneur Gordon E. Moore set out to graph the rapid rate of improvement in semiconductor-chip performance—and ended up discovering the heartbeat of the modern world. That discovery is what became known as “Moore’s Law,” which is the observation that performance (speed, price, size) of integrated circuits, aka microchips, regularly doubled every 18 months.

it has proved to be the most effective predictive tool of new chip generations, technology innovation and even social and cultural changes of the last half-century.

If some of the recent breakthroughs in atomic-level transistors, nanotechnology and biological computers prove fruitful, Moore’s Law could again accelerate, or at least continue to rule, for decades to come. It now seems more likely than ever that a thousand years from now, what will be remembered most about our time will be its stunning efflorescence of innovation and entrepreneurship. By then Moore’s Law will have become Moore’s Era.

A grand jury here that was investigating accusations of misconduct against Planned Parenthood has instead indicted two abortion opponents who made undercover videos of the organization.

Prosecutors in Harris County said one of the leaders of the Center for Medical Progress — an anti-abortion group that made secretly recorded videos purporting to show Planned Parenthood officials trying to illegally profit from the sale of fetal tissue — had been indicted on a charge of tampering with a governmental record, a felony, and on a misdemeanor charge related to purchasing human organs.

That leader, David R. Daleiden, 27, the director of the center, had posed as a biotechnology representative to infiltrate Planned Parenthood affiliates and surreptitiously record his efforts to procure tissue for research. Another center employee, Sandra S. Merritt, 62, was indicted on a felony charge of tampering with a governmental record.

Last month, some of President Obama’s top intelligence advisers met in Silicon Valley with Apple’s chief, Timothy D. Cook, and other technology leaders in what seemed to be a public rapprochement in their long-running dispute over the encryption safeguards built into their devices.

But behind the scenes, relations were tense, as lawyers for the Obama administration and Apple held closely guarded discussions for over two months about one particularly urgent case: The F.B.I. wanted Apple to help “unlock” an iPhone used by one of the two attackers who killed 14 people in San Bernardino, Calif., in December, but Apple was resisting.

When the talks collapsed, a federal magistrate judge, at the Justice Department’s request, ordered Apple to bypass security functions on the phone.

ndia has denied visas to a team from the United States government responsible for monitoring religious freedom, the group said in a statement this week.

The organization, the United States Commission on International Religious Freedom, had planned a trip to India, scheduled to begin this week, to assess religious liberty in the country.

Robert P. George, the group’s chairman, said that the team was “deeply disappointed” by the Indian government’s action.