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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.

An impasse has developed among philosophers, and questions once thought absurd, now bear the cold bearing of reality. For example, automation, robots, and software may challenge if not obliterate capitalism as we know it before the 21st century is out. Should libertarians stand against it and develop tenets and safeguards to protect their livelihoods? I have argued, yes, a universal basic income of some sort to guarantee a suitable livelihood is in philosophical line with the non-aggression principle.

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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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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.

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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.

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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.

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SpaceX and Tesla CEO Elon Musk is backing a brain-computer interface venture called Neuralink, according to The Wall Street Journal. The company, which is still in the earliest stages of existence and has no public presence whatsoever, is centered on creating devices that can be implanted in the human brain, with the eventual purpose of helping human beings merge with software and keep pace with advancements in artificial intelligence. These enhancements could improve memory or allow for more direct interfacing with computing devices.

Musk has hinted at the existence of Neuralink a few times over the last six months or so. More recently, Musk told a crowd in Dubai, “Over time I think we will probably see a closer merger of biological intelligence and digital intelligence.” He added that “it’s mostly about the bandwidth, the speed of the connection between your brain and the digital version of yourself, particularly output.” On Twitter, Musk has responded to inquiring fans about his progress on a so-called “neural lace,” which is sci-fi shorthand for a brain-computer interface humans could use to improve themselves.

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