Burn-In: A Novel of the Real Robotic Revolution
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Read between May 24 - July 11, 2020
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the sales pitch for the Chinese company that had pioneered the effort put it,
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someone exists, there will be traces, and if there are connections, there will be information.”
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More and more pop-ups clouded Keegan’s view, lanced by green, then blue, then
Tyler
Holmes view
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same deep ache in the absolute center of her skull when information overload and adrenaline collided.
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The AR rigs were supposed to take all that and boil it down
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it was still like trying to sip from a fire hose.
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Sometimes the play was to go for the most symbolic, the most likely to send a message.
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promise of trains going 800 miles per hour ran into the laws of physics, eminent domain politics, and unbridled inflation.
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member of Congress from Delaware and multiple arrests for solicitation of a prostitute—no convictions.
Tyler
Some things never change...
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vizglasses were steering her to the visual cues, Keegan tried to shift her focus beyond, to see who and what wasn’t being called
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can’t go around profiling like that, and we damn well can’t put it in a formal report that you picked him out of the crowd because he was Muslim.” Keegan
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There was more to be done than just coating yourself to slide through the system.
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“IQ” area—a tech-free space for students to enjoy their “inherent qualities,”
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with envy. Those smiles were fleeting. They’d soon be back in the cloud, chasing that unfillable longing for more—more
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the desks remained as a reminder of the physicality of knowledge. Learning ought to be experienced as a corporal process of improvement.
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there was only one way for humanity to survive: to create, to build, to surpass. It was
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technology allowing man to conquer new frontiers without the accompanying sacrifices that make them worthwhile.
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3-D printed silicone mask.4 It had been designed using an algorithm that generated a hyper-realistic face an AI had dreamed
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lifts on the left side, which would alter his step and throw off any gait recognition software.
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used skin lotion with microscopic refracting beads.
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simple tool. Man’s original weapon.
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They celebrated the idea of “disruption,” because they didn’t see themselves as actually being responsible for the consequences of their actions.9 Now, that would change.
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room we put the pressure on a suspect, not machines. This isn’t Beijing, where you can just unleash a bot on a prisoner.
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whiff of his cologne, Confiance, imbued with pheromones that supposedly influenced
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Both of you went in there ‘cold’—without any sense of what awaited—and yet teamed up to achieve a better result.
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in the Corps, we all fight. Every squad has a designated squad systems operator.
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robot wrangler for the unit, handling ground systems to hunt IEDs and launching microdrones to scout convoy routes.
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systems. It was a meld of evolution and engineering.
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Tactical Autonomous Mobility System—TAMS
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Bigger bot is just a bigger target with more to break,” said Keegan. “We needed them to do things and go places that humans couldn’t, not just recreate something the military could already force a warm body to do.”
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burn-in is defined as ‘the continuous operation of a device, such as a computer, as a test for defects or failure prior to putting it to use,’” answered the machine.
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machine-speed collection, collation, and analysis of information.
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freeing up the human.
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augmented intelligence.
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“Sometimes you have to turn it all off and really see what’s in front of you.
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HIT. “Human Intelligence Task” is what they called it, a marketplace of virtualized micro-jobs that machines couldn’t
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polygenic scoring that allowed them to turn off the genetic trait that would have given her Type 1 diabetes.
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Now it was steady income coveted by those same lawyers, reduced to pyramid sharecar syndicates or micro-moment legal work, trying to run up their billable seconds
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That all changed when the firm brought in a “human performance potential” advisory firm. It had initially been hired to find efficiencies, but the monitoring doubled as human training for the machine learning systems, their algorithms getting smarter hour by hour, client by client.
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Automation had always seemed a problem just for truck drivers or factory workers, until suddenly it wasn’t.
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“workforce optimization” was decided by the algorithm, and even the termination letter automatically written and emailed.
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the wall screen that listened to conversations and used biosensors
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It pivoted off discussions, providing fodder for one side of an argument; other times, it would just inject a new
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