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Or not.


It was hailed as the most significant test of machine intelligence since Deep Blue defeated Garry Kasparov in chess nearly 20 years ago. Google’s AlphaGo has won two of the first three games against grandmaster Lee Sedol in a Go tournament, showing the dramatic extent to which AI has improved over the years. That fateful day when machines finally become smarter than humans has never appeared closer—yet we seem no closer in grasping the implications of this epochal event.

Indeed, we’re clinging to some serious—and even dangerous—misconceptions about artificial intelligence. Late last year, SpaceX co-founder Elon Musk warned that AI could take over the world, sparking a flurry of commentary both in condemnation and support. For such a monumental future event, there’s a startling amount of disagreement about whether or not it’ll even happen, or what form it will take. This is particularly troubling when we consider the tremendous benefits to be had from AI, and the possible risks. Unlike any other human invention, AI has the potential to reshape humanity, but it could also destroy us.

It’s hard to know what to believe. But thanks to the pioneering work of computational scientists, neuroscientists, and AI theorists, a clearer picture is starting to emerge. Here are the most common misconceptions and myths about AI.

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Google, AI, and Quantum — Google believes deep learning is not suitable on Quantum. Not so sure that I agree with this position because deep learning in principle is “a series of complex algorithms that attempt to model high-level abstractions in data by using multiple processing layers with complex structures” — the beauty around quantum is it’s performance in processing of vast sets of information and complex algorithms. Maybe they meant to say at this point they have not resolved that piece for AI.


Artificial intelligence is one of the hottest subjects these days, and recent advances in technology make AI even closer to reality than most of us can imagine.

The subject really got traction when Stephen Hawking, Elon Musk and more than 1,000 AI and robotics researchers signed an open letter issuing a warning regarding the use of AI in weapons development last year. The following month, BAE Systems unveiled Taranis, the most advanced autonomous UAV ever created; there are currently 40 countries working on the deployment of AI in weapons development.

Those in the defense industry are not the only ones engaging in an arms race to create advanced AI. Tech giants Facebook, Google, Microsoft and IBM are all engaging in various AI-initiatives, as well as competing on developing digital personal assistants like Facebook’s M, Cortana from Microsoft and Apple’ Siri.

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VideoDisclaimer: The author of this article, Jason Belzer, is a member of rLoop and serves as the non-profit’s legal counsel. When billionaire entrepreneur Elon Musk proposed the Hyperloop — a futuristic transportation system capable of propelling passengers to supersonic speeds — back in 2013, it is unlikely that even he could have imagined that just a few years later his vision would be tantalizing close to reality. Yet ironically, Musk, who has helped build companies like Tesla Motors and SpaceX that are on the leading edge of technological innovation, will not receive the credit if the Hyperloop indeed becomes a reality. Instead, that honor will be bestowed upon on a small group of teams now working feverishly to construct a prototype that will be tested this summer at SpaceX headquarters in California.

Imagine tackling one of the most complex engineering projects in the history of the human race, requiring countless hours of collaboration and experimentation by some of the world’s most talented engineers, and never actually meeting the people you are working with in a physical setting. You might think it’s impossible, or you might be a member of rLoop — the only non student team to reach the final stage of the SpaceX Hyperloop Pod Competition.

rLoop V6 3AM.259 - Final

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What can be better than to go head to head against cyber attacks, let computer have a mind of their own and protect themselves? The executive producer of CBS hit show, Scorpion, and the CEO of Scorpion Computer Services, Walter O’Brien says that it not only is possible, but can be the only solution to stop such attacks.

@tferriss loved the Walter O’ Brien podcast. But, did you pick up on any issues with his story? https://t.co/jf8Gm2Ls1Y

— Vincent Hofmann (@vincenthofmann) February 22, 2016

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In June, a team of programmers will release a ground-breaking new video game called No Man’s Sky, which uses artificial intelligence and procedural generation to self-create an entire cosmos full of planets. Running off 600,000 lines of code, the game creates an artificial galaxy populated by 18,446,744,073,709,551,616 unique planets that you can travel to and explore.

Though this artificial universe is realistic down to the dimensions of a blade of grass, faster than light-speed travel is available in order for players to bridge the unfathomable distances between stars.

Chief architect Sean Murray says No Man’s Sky is different than most games because the landscapes and distances aren’t faked. While most space-based games utilize a skybox that simply rotates between different modalities, No Man’s Sky is virtually limitless and employs real physics.

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No source of energy is perfect and one of the traditional drawbacks of solar energy has been that it’s tough to generate new power when it’s dark outside. However, SolarCity announced this week that it’s taken a big step toward fixing this problem by agreeing to use Tesla’s 52 MWh Powerpack lithium-ion battery storage system for its massive solar power project that it’s building in Hawaii for the Kaua’i Island Utility Cooperative (KIUC). SolarCity, of course, is chaired by Tesla CEO Elon Musk so the decision to go with the Powerpack is pretty convenient for both companies.

MUST READ: The FBI has laid a clever trap for Apple

SolarCity says it believes that its collaboration with Tesla will produce “the first utility-scale system in the U.S. to provide dispatchable solar energy, meaning that the utility can count on electricity being available when it’s needed, even hours after the sun goes down.” To be clear, using the Powerpack won’t completely eliminate the need for non-solar resources at night since it’s projected to feed up to 13 megawatts of electricity onto the grid, which will only reduce the amount of power used by non-renewable sources.

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