Electric vehicles are more heavily subsidized in China than America. 22% of new car sales in China are electric vs 1% in America. China also has a lot of tariffs and regulations preventing foreign competition.
You don't need a monte carlo simulation if you have a known distribution. You can just add the means and variances and solve the equation rather than approximating it with a simulation. Monte carlo is more useful when drawing from an unknown distribution.
Even if we can get fusion to work, it will never be economical. Just because the fuel (water) is free, that doesn't make the energy free. The fuel rods for fission power plants are already a rounding error in the cost of energy. It's the capital costs that dominate the equation, and fusion plants will be at least as expensive as fission, which is more expensive per KWh than solar.
> CPUs and AMD GPUs are not supported at the moment, but we welcome community contributions aimed at addressing this limitation.
That's disappointing. My biggest frustration is that every ML library (Pytorch, Keras, etc) is tied to CUDA/Nvidia, so I take a huge performance hit when running them on my Mac.
They used an overly simplistic computer simulation and programmed it to get their assumptions back as outputs. Luck may play a large role in wealth, but this study did nothing to prove that.
I'm working on a robot that can make noodle-based dishes by itself in a food truck. The end goal is to just do a bit of prep work in the morning, turn it on and leave it running all day to sell food in Seattle.