People are running models of planet formation. And some people run their model often enough to do statistics over the outcomes.
The problem is that modelling the formation all the way from micron sized dust to 100000 km diameter planets is hard (14 order of magnitude in length scale). No single model does all steps well, most of them do not include some steps at all.
Note: this does not mean that the models are useless. There is some things we can already learn and smart people work on improving the models. But as usual, HN overestimates the power of numerical models. Modeling real life is a bit harder than launching a ruby web app. And takes MUCH more compute power.
This is so interesting. Because it can't be this hard to do this kind of physics simulation at the correct level of fidelity if you want to apply RL to physical problems
What does RL have to do with this? The laws governing gravity are already well understood and specialized code will always be more computationally efficient while having less unexplainable behavior. Why would you use a slower, more opaque method to accomplish the same thing?
The problem is that modelling the formation all the way from micron sized dust to 100000 km diameter planets is hard (14 order of magnitude in length scale). No single model does all steps well, most of them do not include some steps at all.
Note: this does not mean that the models are useless. There is some things we can already learn and smart people work on improving the models. But as usual, HN overestimates the power of numerical models. Modeling real life is a bit harder than launching a ruby web app. And takes MUCH more compute power.