Are the robots about to rise? Google's new director of engineering thinks so‚Ä¶
J Thoendell stashed this in Tech
Google has bought almost every machine-learning and robotics company it can find, or at least, rates. It made headlines two months ago, when it bought¬†Boston Dynamics, the firm that produces spectacular, terrifyingly life-like military¬†robots, for an "undisclosed" but undoubtedly massive sum. It spent $3.2bn (¬£1.9bn) on smart thermostat maker¬†Nest Labs. And this month, it bought the secretive and cutting-edge British artificial intelligence startup DeepMind for ¬£242m.
And those are just the big deals. It also bought¬†Bot & Dolly,¬†Meka Robotics, Holomni,¬†Redwood Robotics¬†and Schaft, and another AI startup, DNNresearch. It hired Geoff Hinton, a British computer scientist who's probably the world's leading expert on neural networks. And it has embarked upon what one DeepMind investor told the technology publication¬†Re/code¬†two weeks ago was "a Manhattan project of AI". If artificial intelligence was really possible, and if anybody could do it, he said, "this will be the team". The future, in ways we can't even begin to imagine, will be Google's.
And it's the Google-scale resources that are beyond anything the world has seen before. Such as the huge data sets that result from 1 billion people using Google ever single day. And the Google knowledge graph, which consists of 800m concepts and the billions of relationships between them. This is already a neural network, a massive, distributed global "brain". Can it learn? Can it think? It's what some of the smartest people on the planet are working on next.
Peter Norvig, Google's research director, said recently that the company employs "less than 50% but certainly more than 5%" of the world's leading experts on machine learning. And that was before it bought DeepMind which, it should be noted, agreed to the deal with the proviso that Google set up an ethics board to look at the question of what machine learning will actually mean when it's in the hands of what has become the most powerful company on the planet. Of what machine learning might look like when the machines have learned to make their own decisions. Or gained, what we humans call, "consciousness".
Google seems obsessed with organizing knowledge and creating intelligence.
By contrast, Facebook is obsessed with organizing people and creating human networks.
Those are two very different paths to the worldwide interconnected Hive Mind:
Facebook is focused on activity of breathing beings whereas Google is focused on the exhaust from that activity.¬†
and pandawhale will keep them all in check!
We will do our very best, Emily. There are only a few of us, but we do our best to have courage!
courage will be necessary... especially if it turns into a terminator scene!
The more I think about it, the scarier robot attacks sound.