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Where we’re going, we don’t need roads

I can conceive that in saner circumstances, Tesla Model X might never have come to be. But the strongest blades are forged in the hottest fires, and for those that survive the heat, something very special is born.

Model X is special in a way that the automotive industry hasn’t been able to conceive in a very long time. It is an all-electric SUV that can seat up to seven people with bucketloads of cargo space to spare. It is a sporty all-wheel drive car that can throw instant and ungodly amounts of torque at the tarmac. It is a serene cruiser with its silent drive and breathtaking panoramic windshield. It is, in essence, an eight-eyed falcon with a supercomputer brain that dreams of a future of fully autonomous driving. And I had to have it.

As a Model S owner, I had already experienced and enjoyed more than a year of zero emissions Tesla driving. I knew what great things the car was capable of. I’d felt the thrill of instant torque, I’d fallen in love with the one-foot, regenerative braking driving experience, and I’d been chauffeured up and down the M1 by my very own Autopilot. Where the Model S presented itself as an all electric car — a subtle statement and proof of concept about a future of green but powerful motoring, Model X presented itself as a bold vision for what a car could be, if its only blueprint were imagination.

Say hello to Waymo (audio-described)

This video is audio described for the visually-impaired. The original version can be found here: https://youtu.be/uHbMt6WDhQ8

Waymo—formerly the Google self-driving car project—stands for a new way forward in mobility. In 2015, we invited Steve Mahan, former CEO of the Santa Clara Valley Blind Center, for a special ride. Steve had ridden in our cars in the past—first accompanied by a test driver in 2012 and then on a closed course in 2014. This time was different. Steve experienced the world’s first fully self-driving ride on public roads, navigating through everyday traffic with no steering wheel, no pedals, and no test driver. See highlights of Steve’s ride: https://youtu.be/ArYTxDZzQOM

We’ve been working on self-driving vehicles since 2009, and we are now an independent self-driving technology company with a mission to make it safe and easy for people and things move around. Learn more about Waymo:

Website: https://waymo.com
Blog: https://waymo.com/blog
YouTube: https://youtube.com/waymo
Facebook: https://facebook.com/waymo
Twitter: https://twitter.com/waymo

The World’s First Personal Robot

TechCrunch: “You’ll soon be coming home and a robot will greet you at the door.”

VentureBeat: “Read to kids, host video chats, take pictures, recognize faces and objects, connect to smart home devices, and secure the home by roaming around and video taping everything.”

H+ Magazine: “What sets Autonomous’s efforts apart is the sophistication of the software which incoporates deep learning neural networks and what they call — talents.”

Google DeepMind has built an AI machine that could learn as quickly as humans before long

How deepmind’s memory trick helps AI learn faster.

While AI systems can match many human capabilities, they take 10 times longer to learn. Now, by copying the way the brain works, Google DeepMind has built a machine that is closing the gap. “Our experiments show that neural episodic control requires an order of magnitude fewer interactions with the environment,” they say.

Intelligent machines have humans in their sights. Deep-learning machines already have superhuman skills when it comes to tasks such as face recognition, video-game playing, and even the ancient Chinese game of Go. So it’s easy to think that humans are already outgunned.

The rise of the useless class

Historian Yuval Noah Harari makes a bracing prediction: just as mass industrialization created the working class, the AI revolution will create a new unworking class.

The most important question in 21st-century economics may well be: What should we do with all the superfluous people, once we have highly intelligent non-conscious algorithms that can do almost everything better than humans?

This is not an entirely new question. People have long feared that mechanization might cause mass unemployment. This never happened, because as old professions became obsolete, new professions evolved, and there was always something humans could do better than machines. Yet this is not a law of nature, and nothing guarantees it will continue to be like that in the future. The idea that humans will always have a unique ability beyond the reach of non-conscious algorithms is just wishful thinking. The current scientific answer to this pipe dream can be summarized in three simple principles: