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 Chinese highly automated dark factories.  Chinese dark factories are so highly automated that they don’t even need light. This is the future of manufacturing. Robots working in complete darkness. Those systems are controlled by the AI. And that makes the assembly process very effective. Human-shaped robots can make almost everything that humans can.  An advanced machine learning toolkit allows operators. To teach machines new things. very effectively. The system needs only one robot. That can make something, and then that system can scale that new skill over the entire network. That makes robots very effective workers. And maybe those ghost factories are starting to operate in Western cities. Robot factories are interesting. Especially if human-shaped robots work in that factory.  That is the thing. That makes the AI dangerous. The ability to teach one robot and then scale that thing to all robots makes it possible to teach robot armies very effectively. The same hu...

"Researchers have discovered that complex random behaviors naturally emerge from even the simplest, chaotic dynamics in a quantum simulator. This illustration zooms into one such complex set of states within an apparently smooth quantum system. Credit: Adam Shaw/Caltech" (ScitechDaily.com/The Future of Error Correction: Taking Advantage of Quantum Scrambling) The problem with a quantum computer is that system must detect and separate the qubit from its background. A qubit is a particle that has multiple states. And the biggest problem in quantum systems is the energy flow. The energy level in the qubit must be different than in the background. There is a possibility that the qubit's energy level is higher or lower than its background.  In the image from the top of the text, you can see the problem with the background. The energy background in nature has different levels. And that thing can cause that when qubit travels over those energy pits that affects the energy level ...