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if you’re not among the 10-15% of the population that has learned how to master and complement computers, you’ll be doomed to earn low wages in dead-end jobs.

“There are two things people need to learn how to do to be employable at a decent wage: first, learn some skills which complement the computer rather than compete against it. Some of these are technical skills, but a lot of them will be soft skills, like marketing, persuasion and management that computers won’t be able to do any time soon. 

There has arisen a kind of parallel network – a lot of it is on the Internet, a lot of it is free – where people teach themselves things, often very effectively.

beyond ~40–50 hours per week, the marginal returns from additional work decrease rapidly and quickly become negative. We have also demonstrated that though you can get more output for a few weeks during “crunch time” you still ultimately pay for it later when people inevitably need to recover.

My intellectual conclusion is that these companies are both destroying the personal lives of their employees and getting nothing in return.

This kind of attitude not only hurts young workers who are willing to “step up” to the expectation, but facilitates ageism and sexism by indirectly discriminating against people who cannot maintain that kind of schedule.

Not that this was necessarily the takeaway from a recent interview that the OECD Education Today blog did with economist Tyler Cowen, but still: 'There are two things people need to learn how to do to be employable at a decent wage: first, learn some skills which complement the computer rather than compete against it. Some of these are technical skills, but a lot of them will be soft skills, like marketing, persuasion, and management that computers won't be able to do any time soon.' Cowen, a professor at George Mason University, in Va., is more focused on higher education than K-12, but the teaching of soft skills has become a big factor in discussions of college and career readiness. As important as soft skills, though, Cowen said, is the ability of people to be able to learn new things, especially without the formal structure of school to support them: 'Twenty to thirty years from now, we'll all be doing different things. So people who are very good at teaching themselves, regardless of what their formal background is, will be the big winners.'

There are more platforms, more websites, more pat solutions to serious problems — here’s an app that can fix drug addiction! promote fiscal responsibility! advance childhood literacy!

The doors to start-up-dom have been thrown wide open. At Harvard, enrollment in the introductory computer-science course, CS50, has soared. Last semester, 39 percent of the students in the class were women, and 73 percent had never coded before.

I protested: “What about Facebook?” He looked at me, and I thought about it. No doubt, Facebook has changed the world. Facebook has made it easier to communicate, participate, pontificate, track down new contacts and vet romantic prospects. But in other moments, it has also made me nauseatingly jealous of my friends, even as I’m aware of its unreality. Everything on Facebook, like an Instagram photo, is experienced through a soft-glow filter. And for all the noise, the pinging notifications and flashing lights, you never really feel productive on Facebook.

Increasingly, they judge our character.

Upstart has over the last 15 months lent $135 million to people with mostly negligible credit ratings. Typically, they are recent graduates without mortgages, car payments or credit card settlements.

ZestFinance, is a former Google executive whose company writes loans to subprime borrowers through nonstandard data signals.

"When they go to a regular visit that they waited three weeks to get, the doctor is clicking keys on a keyboard," he said. "Whoever would have thought that people would find the televisit more intimate and personal and humanizing than a physical visit?"

This isn’t the first time this has happened, that big data sets full of personal information – supposedly obscured, or de-identified, as the process is called – have been reverse engineered to reveal some or even all of the identities contained within. It makes you wonder: Is there really such a thing as a truly anonymous data set in the age of big data?

That might sound like a bore, but think about it this way: there’s more than taxi cab data at stake here. Pretty much everything you do on the Internet these days is a potential data set. And data has value. The posts you like on Facebook, your spending habits as tracked by Mint, the searches you make on Google – the argument goes that the social, economic and academic potential of sharing these immensely detailed so-called “high dimensional” data sets with third parties is too great to ignore.

University of Colorado Law School associate professor Paul Ohm’s 2009 paper on the topic made the bold claim that “data can be either useful or perfectly anonymous but never both.”

The expression "Big Brother" has become dated. Experts would seem to have reached consensus on the term "Big Data" to describe the new favorite topic of discussion in boardrooms, at conventions like Berlin's re:publica last week, and in a number of new books. Big Data promises both total control and the logical management of our future in all aspects of life.

New is the way companies, government agencies and scientists are now beginning to interpret and analyze their data resources. Because storage space costs almost nothing nowadays, computers, which are getting faster and faster, can link and correlate a wide variety of data around the clock. Algorithms are what create order from this chaos. They dig through, discovering previously unknown patterns and promptly revealing new relationships, insights and business models. Though the term Big Data means very little to most people, the power of algorithms is already everywhere. Credit card companies can quickly recognize unusual usage patterns, and hence automatically warn cardholders when large sums are suddenly being charged to their cards in places where they have never been. Energy companies use weather

According to official figures, since the Swedish capital Stockholm began using algorithms to manage traffic, drive times through the city's downtown area have been cut in half and emissions reduced by 10 percent. Online merchants have recently started using the analyses to optimize their selling strategies. The widespread phrase "Customers who bought this item also bought …" is only one example of the approach.