Lifeboat Foundation

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%.

Continue reading “Compelling new evidence that robots are taking jobs and cutting wages” »

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.

Continue reading “Why Aging Is a Disease” »

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.”

Continue reading “Galvanize will teach students how to use IBM Watson APIs with new machine learning course” »

The group says it has a more practical way to get software to learn tasks, such as steering robots, that require multiple actions.

In the popular TV show Sherlock, visual depictions of our hero’s deductive reasoning often look like machine algorithms. And probably not by accident, given that this version of Conan Doyle’s detective processes tremendous amounts of observed data—the sort of minutiae that the average person tends to pass over or forget—more like a computer than a human.

Sherlock’s intelligence is both strength and limitation. His way of thinking is often bounded by an inability to intuitively understand social and emotional contexts. The show’s central premise is that Sherlock Holmes needs his friend John Watson to help him synthesize empirical data into human truth.

In Sherlock we see the analog for modern AI: highly performant learning machines that can achieve metacognitive results with the assistance of fully cognitive human partners. Machine intelligence does not by its nature make human intelligence obsolete. Quite the opposite, really—machines need human guidance.

Continue reading “Why the Rise of AI Makes Human Intelligence More Valuable Than Ever” »

IBM recently announced that its speech recognition system achieved an industry record of 5.5% word error rate, coming closer to human parity. Here’s what it means for enterprises.

Chia-Chiunn Ho was eating lunch inside Facebook headquarters, at the Full Circle Cafe, when he saw the notice on his phone: Larry Zitnick, one of the leading figures at the Facebook Artificial Intelligence Research lab, was teaching another class on deep learning.

Ho is a 34-year-old Facebook digital graphics engineer known to everyone as “Solti,” after his favorite conductor. He couldn’t see a way of signing up for the class right there in the app. So he stood up from his half-eaten lunch and sprinted across MPK 20, the Facebook building that’s longer than a football field but feels like a single room. “My desk is all the way at the other end,” he says. Sliding into his desk chair, he opened his laptop and surfed back to the page. But the class was already full.

Internet giants have vacuumed up most of the available AI talent—and they need more.

Continue reading “I Took the AI Class Facebookers Are Literally Sprinting to Get Into” »

With so many players jumping headlong into AI, it’s understandable that investors may not be aware of them all. Here are a few you may not know about.

For centuries, humans have been fretting over “technological unemployment” or the loss of jobs caused by technological change. Never has this sentiment been accentuated more than it is today, at the cusp of the next industrial revolution.

With developments in artificial intelligence continuing at a chaotic pace, fears of robots ultimately replacing humans are increasing.

TNW Conference won best European Event 2016 for our festival vibe. See what’s in store for 2017.

Continue reading “How to prepare for employment in the age of artificial intelligence” »