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The fear that automation in the form of robots or artificial intelligence is going to destroy jobs is widespread. But it can be difficult to gauge just how serious to take the threat. Different reports offer different estimations of how many jobs will be lost, while politicians and economists argue that technology creates as many jobs as it destroys, maintaining an equilibrium in employment over the long run.

But is this really true? A new study from the National Bureau of Economic Research aims to add some solid numbers to the debate, looking at the historical effects of robots on employment in the US. Economists Daron Acemoglu and Pascual Restrepo studied the US labor market between 1990 and 2007, looking at employment rates in different areas and industries while controlling for the influence of factors like increased imports from China and the offshoring of jobs.

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In his final speech as US president, Barack Obama warned of the “relentless pace of automation that makes a lot of good, middle-class jobs obsolete.” Bill Gates, co-founder of Microsoft, has said that governments will need to tax robots to replace forgone revenue when human workers lose their jobs.

If the past is prologue, these concerns are warranted.

In a recent study (pdf), economists Daren Acemoglu of MIT and Pascual Restrepo of Boston University try to quantify how worried we should be about robots. They examine the impact of industrial automation on the US labor market from 1990 to 2007. They conclude that each additional robot reduced employment in a given commuting area by 3–6 workers, and lowered overall wages by 0.25–0.5%.

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The first of my major #Libertarian policy articles for my California gubernatorial run, which broadens the foundational “non-aggression principle” to so-called negative natural phenomena. “In my opinion, and to most #transhumanist libertarians, death and aging are enemies of the people and of liberty (perhaps the greatest ones), similar to foreign invaders running up our shores.” A coordinated defense agianst them is philosophically warranted.


Many societies and social movements operate under a foundational philosophy that often can be summed up in a few words. Most famously, in much of the Western world, is the Golden Rule: Do onto others as you want them to do to you. In libertarianism, the backbone of the political philosophy is the non-aggression principle (NAP). It argues it’s immoral for anyone to use force against another person or their property except in cases of self-defense.

A challenge has recently been posed to the non-aggression principle. The thorny question libertarian transhumanists are increasingly asking in the 21st century is: Are so-called natural acts or occurrences immoral if they cause people to suffer? After all, taken to a logical philosophical extreme, cancer, aging, and giant asteroids arbitrarily crashing into the planet are all aggressive, forceful acts that harm the lives of humans.

Traditional libertarians throw these issues aside, citing natural phenomena as unable to be morally forceful. This thinking is supported by most people in Western culture, many of whom are religious and fundamentally believe only God is aware and in total control of the universe. However, transhumanists —many who are secular like myself—don’t care about religious metaphysics and whether the universe is moral. (It might be, with or without an almighty God.) What transhumanists really care about are ways for our parents to age less, to make sure our kids don’t die from leukemia, and to save the thousands of species that vanish from Earth every year due to rising temperatures and the human-induced forces.

As part of I BM’s annual InterConnect conference in Las Vegas, the company is announcing a new machine learning course in partnership with workspace and education provider Galvanize to familiarize students with IBM’s suite of Watson APIs. These APIs simplify the process of building tools that rely on language, speech and vision analysis.

Going by the admittedly clunky name IBM Cognitive Course, the class will spend four weeks teaching the basics of machine learning and Watson’s capabilities. Students will be able to take the class directly within IBM’s Bluemix cloud platform.

“Not everyone knows what to do with a Watson API,” says Bryson Koehler, CTO of IBM Watson & IBM Cloud. “The group of engineers that are experts is really small.”

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