Arvin Ash

Are we Living in a Simulation? The science of how it could be true! (2019x27)

Udgivelsesdato: Maj 22, 2019

The simulation argument. Is the matrix real? Could your reality including everything you’ve ever known, be nothing more than pixels on a super advanced computer simulation? The argument that we may be living in a simulation is that a sufficiently advanced intelligent civilization could easily create ancestor simulations, because they would have the computing power to do so. The amount of computing power needed to simulate a human mind can be roughly estimated. Hans Morovec, an expert in robotics at Carnegie Mellon university estimated this to be about ~10^14 operations per second, based on actual computer modeling of individual nervous tissues. Another estimate by Nick Bostrom of Oxford University have shown this to be up to 10^17 operations per second based on simulating the interconnection of synapses in the brain. And this kind of simulation would make the simulated beings conscious because they would essentially have exactly the same brain capability of any real humans. K. Eric Drexler, a PhD engineer from MIT outlined a design for a system the size of a sugar cube that could perform 10^21 operations per second. And Robert Bradbury, has conceptualized a hypothetical computing megastructure, called a Matryoshka brain, based on a planet sized Dyson sphere that would have computing power on the order of 10^42 operations per second. A total computing power of 10^27 would be all that is required to simulate the brains of every single person on earth. And a Matryoshka brain could simulate Trillions and trillions of earths. In fact, based on these computational densities, even a much smaller computer structure the size of the Empire State building could easily simulate a trillions of humans. To make a simulation, not only would the brain need to be simulated, but also our environment and the passing of time. But if all we are trying to do is create a realistic simulation for humans, we don’t need that level of granularity. When people look up