There's still time to lock up the programmers and destroy the research but humanity just isn't smart enough to do that.
There's still time to lock up the programmers and destroy the research but humanity just isn't smart enough to do that.
It's like chess but all across the board, pun intended https://pic8.co/sh/HpMlOI.jpeg
And don't rejoice too fast if you're blue collar, especially on assembly lines... The cheap army of cheap blue collar robots is coming
There are a couple of things that shields one against the terminator takeover, at least for a little while
1 Sheer chaos; bad weather, mud, overall anarchy of things, everything "sketchy" that gets in the way of a controlled environment setting. Robots still need a controlled environment to be reliable, at least still for now.
https://youtu.be/CFoUnr3zKro?t=35 https://www.youtube.com/watch?v=P-jzWZikbc4
2 Legal technicalities; your job needs somebody to be legally represented/accountable;, like idk, architect or bailiff/ judicial officer
3 Replacing you with a robot isn't worth it, you'll always remain cheaper and just as reliable if not more
4 Your job is all about being human, mma fighter, showman, bitch, younameit
Beyond that, I think medium to long term it's fucked, it's an arm race
https://www.quora.com/Can-a-human-win-in-chess-against-a-computer
In 2016 Stockfish-8, an open-source chess engine, was the world’s computer chess champion. It evaluated 70 million chess positions per second and had centuries of accumulated human chess strategies and decades of computer experience to draw upon. It played efficiently and brutally, mercilessly beating all its human challengers without an ounce of finesse. Enter deep learning. On Dec. 7, 2017, Google’s deep-learning chess program AlphaZero thrashed Stockfish-8. The chess engines played 100 games, with AlphaZero winning 28 and tying 72. It didn’t lose a single game. AlphaZero did only 80,000 calculations per second, as opposed to Stockfish-8’s 70 million calculations, and it took just four hours to learn chess from scratch by playing against itself a few million times and optimizing its neural networks as it learned from its experience.AlphaZero didn’t learn anything from humans or chess games played by humans. It taught itself and, in the process, derived strategies never seen before. In a commentary in Science magazine, former world chess champion Garry Kasparov wrote that by learning from playing itself, AlphaZero developed strategies that “reflect the truth” of chess rather than reflecting “the priorities and prejudices” of the programmers.
It's like chess but all across the board, pun intended https://pic8.co/sh/HpMlOI.jpeg
And don't rejoice too fast if you're blue collar, especially on assembly lines... The cheap army of cheap blue collar robots is coming
There are a couple of things that shields one against the terminator takeover, at least for a little while
1 Sheer chaos; bad weather, mud, overall anarchy of things, everything "sketchy" that gets in the way of a controlled environment setting. Robots still need a controlled environment to be reliable, at least still for now.
https://youtu.be/CFoUnr3zKro?t=35
https://www.youtube.com/watch?v=P-jzWZikbc4
2 Legal technicalities; your job needs somebody to be legally represented/accountable;, like idk, architect or bailiff/
judicial officer
3 Replacing you with a robot isn't worth it, you'll always remain cheaper and just as reliable if not more
4 Your job is all about being human, mma fighter, showman, bitch, younameit
Beyond that, I think medium to long term it's fucked, it's an arm race
https://www.quora.com/Can-a-human-win-in-chess-against-a-computer
>In 2016 Stockfish-8, an open-source chess engine, was the world’s computer chess champion. It evaluated 70 million chess positions per second and had centuries of accumulated human chess strategies and decades of computer experience to draw upon. It played efficiently and brutally, mercilessly beating all its human challengers without an ounce of finesse. Enter deep learning. On Dec. 7, 2017, Google’s deep-learning chess program AlphaZero thrashed Stockfish-8. The chess engines played 100 games, with AlphaZero winning 28 and tying 72. It didn’t lose a single game. AlphaZero did only 80,000 calculations per second, as opposed to Stockfish-8’s 70 million calculations, and it took just four hours to learn chess from scratch by playing against itself a few million times and optimizing its neural networks as it learned from its experience.**AlphaZero didn’t learn anything from humans or chess games played by humans. It taught itself and, in the process, derived strategies never seen before. In a commentary in Science magazine, former world chess champion Garry Kasparov wrote that by learning from playing itself, AlphaZero developed strategies that “reflect the truth” of chess rather than reflecting “the priorities and prejudices” of the programmers.**
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