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.
My understanding is that while the normal distribution is friendly to simple manipulation, a lot of distributions aren't. Not being a statistician I couldn't tell you why or which.
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.
I'm really surprised AMD hasn't pushed much harder into the space given their aggressive targeting of the data center with Epyc. I too use mostly Macs during the day and any ML projects are always relegated to Nvidia machines in my rack / amazon.
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.
Yes, a lot of road money comes from state/federal budgets, not local. It actually causes many problems. Residents don't want a freeway through their town but guess who makes those decision?
Not really, I think roads are a convenient example but the same dynamic described (cities getting out over their skis through cheap-in-the-short term development and debt) can be seen playing out for other types of expenses. The next highest costs up that list, hospitals and education, are often also financed through debt, expensive to maintain over a long time horizon, and essential to growing the tax base. This seems totally cromulent with the basic "growth addiction" framework to me.
More roads means more sewage, power, water, gas, waste removal, snow removal, and fiber internet lines. Living spaced out also probably adds other costs like more administrative staff.
It mentions in the video that most money for road initial construction comes from State/Federal. Thus the true ongoing costs are masked and so it continues.
When he says anything, he means anything. How to measure the value of a human life, how to estimate things you know nothing about (like the gestation period of an African elephant), and how to get better at measuring things with limited information.
