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Chris Knutson
2,729 followers -
There's an API for that
There's an API for that

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My phone screen has been cracked since December. I think it's about time to get it fixed, assuming it still can be.
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"Safety" drivers are not safe. Only full autonomy should be allowed. If manufacturers and software companies are not confident enough in their tech to assume liability, their vehicles should not be on the road.

More that in your case, it appears Uber's vehicle should have been able to handle the situation, but features we're deliberately disabled due to the presence of a "safety" driver.

At 1.3 seconds before impact, the self-driving system determined that an emergency braking maneuver was needed to mitigate a collision. According to Uber, emergency braking maneuvers are not enabled while the vehicle is under computer control, to reduce the potential for erratic vehicle behavior. The vehicle operator is relied on to intervene and take action. The system is not designed to alert the operator.
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Don't worry, regulators aren't ready for GDPR, either.
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Android phone update movies recently, voicemail, etc to bottom tabs. Puke.

+Jens Knutson

#nerdRage
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It's about time (again). Remember the clipper chip? "Professor Blaze was one of the technical experts who broke the NSA’s Clipper Chip proposal of the 1990s."
"Complexity is the enemy of security. If you want a phone that’s unlockable by any government, you might as well not lock the phone in the first place.”
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map(), filter() and reduce() explained.
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For creating discs of freely available software that only works if you have a legitimate, licensed installation of Windows already.
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This is pretty phenomenal.
"We recently published an article announcing five papers on deep neuroevolution, including the discovery that genetic algorithms can solve deep reinforcement learning problems as well as popular alternatives, such as deep Q-learning and policy gradients. That work follows on Salimans et al. 2017, which showed the same for evolution strategies (ES), another neuroevolution algorithm. We further described how ES can be improved by adding exploration in the form of a pressure for agents to be novel, and how ES relates to gradient descent. All of that research was computationally expensive: It was conducted on between 720 and 3000 CPUs distributed across a large, high-performance computing cluster, seemingly putting deep neuroevolution out of reach for most researchers, students, companies, and hobbyists."

"Today, we are releasing open source code that makes it possible to conduct such research much faster and cheaper. With this code, the time it takes to train deep neural networks to play Atari, which takes ~1 hour on 720 CPUs, now takes ~4 hours on a single modern desktop."
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It's called "sunset", folks.

#facepalm
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