Artificial Intelligence hype is only going to increase.
We know what blue collar jobs are, but what are “new collar” jobs? We are in the midst of the Fourth Industrial Revolution and artificial intelligence, analytics and automation is radically changing jobs.
A sci-fi novelist on what he learned writing a trilogy of speculative novels that extrapolate how feeds shape our lives, politics, and future
Feeds shape our world. Google uses hundreds of variables to determine the search results you see. A complex statistical engine produces your personalized Netflix queue. Facebook uses everything it knows about you and your friends to build your timeline. Your credit score is compiled from third-party data brokers. Taylor Swift uses facial recognition software to identify stalkers at concerts. Even these Herculean efforts are dwarfed in scale by the Chinese social credit system that will integrate data from many disparate public and private sources.
Feeds are inevitable to the extent that they are useful. Every minute of every day, 156 million emails are sent, 400 hours of video are uploaded to Youtube, and there are 600 new page edits to Wikipedia. There is so much more information than we can possibly digest, and feeds are the imperfect filters that we use to try to distill what we want from all that’s out there. But their imperfections generate horrendous side effects, like unjust parole decisions made on the basis of racially biased data. And even more fundamentally, the sheer scale of feeds, and their incomprehensibility to most users, give their masters enormous hidden power.
The 2018 Best For The World honorees include (clockwise from top left):
Sunrise Banks, Animal Experience International, Mascoma Bank, and CORE Kitchen.
21st century business leaders see assets everywhere and in everyone. They create value and competitive advantage by competing not just to be best in the world, but best for the world.
As consumers, talent and investors increasingly seek values-aligned businesses to buy from, work for and invest in, entrepreneurs are seeking to create the greatest positive impact not just to be nice, but to be more successful. The supporting evidence is mounting and clear.
Everyone works remotely at software-development company GitLab, even its CEO
As collaboration tools improve, letting distant teammates work together seamlessly, some are questioning whether an office is necessary.
GitLab Inc. is extreme, even for Silicon Valley: It has no headquarters and everyone works remotely, even the CEO.
The software-development startup, which has more than 600 employees in 54 countries, plans to raise its headcount to about 1,000 by year-end. Its far-flung workers rely on internal tools and cloud-based services to collaborate, communicate and contribute to projects.
The idea is to remain headquarters-free even after GitLab’s initial public offering, planned for late 2020, giving it flexibility to cut costs and hire people world-wide as opposed to relying on expensive talent hubs and office space, said Sid Sijbrandij, the company’s chief executive and co-founder.
Credentialed authorities are comically bad at predicting the future. But reliable forecasting is possible.
The bet was on, and it was over the fate of humanity. On one side was the Stanford biologist Paul R. Ehrlich. In his 1968 best seller, The Population Bomb, Ehrlich insisted that it was too late to prevent a doomsday apocalypse resulting from overpopulation. Resource shortages would cause hundreds of millions of starvation deaths within a decade. It was cold, hard math: The human population was growing exponentially; the food supply was not. Ehrlich was an accomplished butterfly specialist. He knew that nature did not regulate animal populations delicately. Populations exploded, blowing past the available resources, and then crashed.
The question of how to ensure that technological innovation in machine learning and artificial intelligence leads to ethically desirable—or, more minimally, ethically defensible—impacts on society has generated much public debate in recent years. Most of these discussions have been accompanied by a strong sense of urgency: as more and more studies about algorithmic bias have shown, the risk that emerging technologies will not only reflect, but also exacerbate structural injustice in society is significant.
So which ethical principles ought to govern machine learning systems in order to prevent morally and politically objectionable outcomes? In other words: what is AI Ethics? And indeed, “is ethical AI even possible?”, as a recent New York Times article asks?
But that’s exactly what we’ll do here. Since we’re rapidly approaching the ten year anniversary of Bitcoin’s whitepaper publication, I’ll attempt to project out twenty years to see the evolution of Bitcoin, blockchain, alternative cryptocurrencies and decentralization.
This is the type of article that will look unbelievably foolish or incredibly brilliant when I’m old and gray.
Met curator Carmen Bambach reveals what she has learned about the world’s most famous Renaissance man.
Carmen Bambach, curator in the Department of Drawings and Prints at the Metropolitan Museum of Art in New York, spent 23 years studying the life and work of Leonardo da Vinci. The culmination of her research, a 2,200-page, four-volume book, Leonardo da Vinci Rediscovered, will be published by Yale University Press this summer.
Princeton commencement, 1909. Photo: Paul Thompson/FPG/Getty Images
In 1869, at Harvard, Charles Eliot invented the college major as we know it — each student would be channeled into a specialized area of study, and move on to a stable, lifelong job.
The big picture: A century and a half later, American colleges pump out some 4.5 million new bachelor’s degrees every year, but the context — the present and future of work — has changed entirely.
In his book Thinking Fast and Slow, Daniel Kahneman refers to the parts of our brain, where he suggests there are two competing intelligence at play.
He specifies one area affiliated to “system 1” which is known to be an area relying on speed in decision making and on emotion in information perceiving. System 1 is based largely on our instinct and intuition unconsciously stored by past experiences that are often rapidly available to memory. The second area is affiliated to “system 2” which is known to be an area for slow and deliberate decision making and more rational in information perceiving. This area takes in information based on our conscious appraisal of current events, and our stored episodic long-term memories, which are slowly available to memory. Why do we care?
With a new series of the BBC science podcast Futureproofing on air this month, presenter Timandra Harkness explains how to get ready for the world of the future.
Just a building that keeps the rain out and your clean underwear in? Think again. The home of 2030 will be smart, connected and emotional.
“Our notion of home will change drastically,” says Sce Pike, CEO of Oregon-based IOTAS. “The notion of home is no longer four walls and a roof and a place, a location, but actually something that travels with you throughout your life.”
How does it do that? By learning your preferences and your habits, and automatically adjusting the light, heat, even your TV channels, before you have to ask. “It’s about how that home reacts to you and makes you comfortable,” says Pike.
In October 2017, a SWAT team descended on Jameson Lopp’s house in North Carolina. Someone — it still isn’t clear who — had called the police and falsely claimed that a shooter at the home had killed someone and taken a hostage. After the police left, Mr. Lopp received a call threatening more mayhem if he did not make a large ransom payment in Bitcoin.
To scare off future attackers, Mr. Lopp quickly posted a video on Twitter of himself firing off his AR-15 rifle. He also decided he was going to make it much harder for his enemies — and anyone else — to find him ever again.
Mr. Lopp, a self-described libertarian who works for a Bitcoin security company, had long been obsessed with the value of privacy, and he set out to learn how thoroughly a person can escape the all-seeing eyes of corporate America and the government. But he wanted to do it without giving up internet access and moving to a shack in the woods.
Many celebrities and wealthy people, wary of thieves, paparazzi and other predators, have tried to achieve Mr. Lopp’s vision of complete privacy. Few have succeeded.