Lifeboat Foundation

DARPA ROBOTICS CHALLENGE 2015 THE ROBOTS ARE COMING

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“Machines can do some surprising things. But what you really want to know is this: Will your job be around in the future?…The researchers admit that these estimates are rough and likely to be wrong. But consider this a snapshot of what some smart people think the future might look like.” Read more

Engineers explore ways to take robotics to the limits of size and function

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“Without human beings making the decision to kill, the concern is that killing will happen indiscriminately, slowly lowering the bar for the use of violent force. Once death happens by algorithm, what’s the incentive to preserve life? ‘Humans must ultimately bear moral responsibility and face the horror of war squarely, not outsource it to machines.’” Read more

“It’s a nice thought that humans could one day create a superintelligent artificial intelligence, and that intelligence takes a look at us, says “thanks, creator,” and blasts off into space, never to be heard from again. Or maybe the AI moves to the deserts or the Arctic or some other uninhabited place, and we live together peacefully. But it seems like such an outcome is unlikely.” Read more

“But instead of having to figure out which leg is broken and how, or doing any sort of self-analysis at all, the robot simply starts trying a whole bunch of different gait behaviors through ‘intelligent trial and error,’ converging on something that works by exploring an enormous pregenerated set of potentially effective motions in about two minutes.” Read more

As a rule, robots have to learn through explicit instruction, whether it’s through new programming, watching videos or holding their hands. UC Berkeley’s BRETT (Berkeley Robot for the Elimination of Tedious Tasks) isn’t nearly that dependent, however. The machine uses neural network-based deep learning algorithms to master tasks through trial and error, much like humans do. Ask it to assemble a toy and it’ll keep trying until it understands what works. In theory, you’d rarely need to give the robot new code — you’d just make requests and give the automaton enough time to figure things out.

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A long interview from Esquire on transhumanism, AI, life extension, my campaign, and thoughts on the future.

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“If the humans were controlling Atlas directly from the command center, this would be no big deal, but the MIT team designed for autonomy. So they don’t have a joystick that would make the robot open the door. All the team can do is send their robot the command to find the handle and open it. It’s up to the robot’s software to figure out how.” Read more