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When it comes to fundamental physics, things can get spooky. At least that’s what Albert Einstein said when describing the phenomenon of quantum entanglement—the linkage of particles in such a way that measurements performed on one particle seem to affect the other, even when separated by great distances. “Spooky action at a distance” is how Einstein described what he couldn’t explain.

While quantum mechanics includes many mysterious phenomena like entanglement, it remains the best fundamental physical theory describing how matter and light behave at the smallest scales. Quantum theory has survived numerous experimental tests in the past century while enabling many advanced technologies: modern computers, digital cameras and the displays of TVs, laptops and smartphones. Quantum entanglement itself is also the key to several next-generation technologies in computing, encryption and telecommunications. Yet, there is no clear consensus on how to interpret what quantum theory says about the true nature of reality at the subatomic level, or to definitively explain how entanglement actually works.

According to Andrew Friedman, a research scientist at the University of California San Diego Center for Astrophysics and Space Sciences (CASS), “the race is on” around the globe to identify and experimentally close potential loopholes that could still allow alternative theories, distinct from quantum theory, to explain perplexing phenomena like quantum entanglement. Such loopholes could potentially allow future quantum encryption schemes to be hacked. So, Friedman and his fellow researchers conducted a “Cosmic Bell” test with polarization-entangled photons designed to further close the “freedom-of-choice” or “free will” loophole in tests of Bell’s inequality, a famous theoretical result derived by physicist John S. Bell in the 1960s. Published in the Aug. 20 issue of Physical Review Letters, their findings are consistent with quantum theory and push back to at least 7.

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Packing more energy into batteries is the key to delivering electric cars with longer range, smartphones that can last days—and cheaper electronic products all around.

The promise: Lithium-oxygen batteries represent one of the more promising paths toward that end. They could boost energy density by an order of magnitude above conventional lithium-ion batteries—in theory, at least. In a paper published today in Science, researchers at the University of Waterloo identified ways of addressing some of the major hurdles to converting that potential into commercial reality.

The challenge: A critical problem has been that as a lithium-oxygen battery discharges, oxygen is converted into superoxide and then lithium peroxide, reactive compounds that corrode the battery’s components over time. That, in turn, limits its recharging ability—and any real-world utility.

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Level 4 – Awareness + World model: Systems that have a modeling system complex enough to create a world model: a sense of other, without a sense of self – e.g., dogs. Level 4 capabilities include static behaviors and rudimentary learned behavior.

Level 5 – Awareness + World model + Primarily subconscious self model = Sapient or Lucid: Lucidity means to be meta-aware – that is, to be aware of one’s own awareness, aware of abstractions, aware of one’s self, and therefore able to actively analyze each of these phenomena. If a given animal is meta-aware to any extent, it can therefore make lucid decisions. Level 5 capabilities include the following: The “sense of self”; Complex learned behavior; Ability to predict the future emotional states of the self (to some degree); The ability to make motivational tradeoffs.

Level 6 – Awareness + World model + Dynamic self model + Effective control of subconscious: The dynamic sense of self can expand from “the small self” (directed consciousness) to the big self (“social group dynamics”). The “self” can include features that cross barriers between biological and non-biological – e.g., features resulting from cybernetic additions, like smartphones.

Level 7 – Global awareness – Hybrid biological-digital awareness = Singleton: Complex algorithms and/or networks of algorithms that have capacity for multiple parallel simulations of multiple world models, enabling cross-domain analysis and novel temporary model generation. This level includes an ability to contain a vastly larger amount of biases, many paradoxically held. Perspectives are maintained in separate modules, which are able to dynamically switch between identifying with the local module of awareness/perspective or the global awareness/perspective. Level 7 capabilities involve the same type of dynamic that exists between the subconscious and directed consciousness, but massively parallelized, beyond biological capacities.

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We can’t turn back the clock, but neither is job insecurity inevitable. Just as the postwar period managed to make industrialization benefit industrial workers, we need to create new norms, institutions and policies that make digitization benefit today’s workers. Pundits have offered many paths forward — “portable” benefits, universal basic income, worker reclassification — but regardless of the option, the important thing to remember is that we do have a choice.


When we learn about the Industrial Revolution in school, we hear a lot about factories, steam engines, maybe the power loom. We are taught that technological innovation drove social change and radically reshaped the world of work.

Likewise, when we talk about today’s economy, we focus on smartphones, artificial intelligence, apps. Here, too, the inexorable march of technology is thought to be responsible for disrupting traditional work, phasing out the employee with a regular wage or salary and phasing in independent contractors, consultants, temps and freelancers — the so-called gig economy.

But this narrative is wrong. The history of labor shows that technology does not usually drive social change. On the contrary, social change is typically driven by decisions we make about how to organize our world. Only later does technology swoop in, accelerating and consolidating those changes.

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They used to be the billion dollar start-ups. Now we call them unicorns, a term coined five years ago by Aileen Lee of Silicon Valley-based Cowboy Ventures. In mythology, unicorns are rare, beautiful creatures. It was the perfect name – until recently.

Now unicorn is taking on new meaning: start-ups that perpetuate the myth that they are worth a billion US dollars.

These days, it does not take much money to claim a US$1 billion valuation – under US$200 million in some cases. Nor do you have to be a leading edge or disruptive tech company. Many unicorns, especially those in China, are simply smartphone apps applied to businesses that have been around for decades.

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“We should not start from steam and railways, or the old technologies—that is already done,” Assefa argues.

That makes sense to academics like Singh — though he also cautions that political forces are often slow to see the bigger picture. There is definitely an opportunity for developing countries, he says. “But any time we have a technological revolution, the political institutions have to catch up.”

A 2017 report (pdf) by the World Wide Web Foundation suggested that Ethiopian “intelligence services are using machine intelligence techniques to break encryption and find patterns in social media posts that can be used to identify dissidents.” And while mobile phone and internet penetration in Ethiopia is comparatively poor—a situation made worst amid widespread anti-government protests, which prompted an internet crackdown in February — the report added that government surveillance and oppression could increase as the use of smartphones expands.

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Sometimes, while waiting for quantum computers to become a thing, or complaining that your stupid laptop keeps dying on 5 percent battery, it’s easy to forget just how far technology has come over the past 50 years.

Sure, we can all list off a whole bunch of innovations that have changed the way the world works — the Internet, smartphones, radio telescopes — but it’s hard to really put that kind of change into perspective.

Thankfully, pictures often speak louder than words, and so below are nine photos that’ll make you stop and raise your *praise hand* emojis to the sky in honour of the scientists and engineers that have got us where we are today.

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“Artificial Intelligence is not just a large part of a technological revolution, it’s a major part of a human evolution of going beyond the limits of an environmentally programmed human biological operating system.”

Is Facebook And Social Media Psychologically Destroying This Generation?

Is-Facebook-And-Social-Media-Psychologically-Destroying-This-Generation

Are People Merging Into And With Their Smartphones?

Are People Merging Into And With Their Smartphones?

Steve Jobs: Secrets of Life

Check out this amazing video, from Andy Grove Co-founder of Intel in a 1999 Interview talking about technology and human intuition.