▲ | fragmede 2 days ago | ||||||||||||||||
How much more accurate a simulation could you run if you had OpenAI's training budget and supercomputer? (≈$100M) | |||||||||||||||||
▲ | looping__lui 2 days ago | parent | next [-] | ||||||||||||||||
As a fan of a sport that greatly relies on accurate weather forecasts with an interest in weather models my impression is that more supercomputer budget isn’t necessarily the issue (eg., more granular models can be less accurate) but the lack of data on the initial state is… Things like snow on mountains, soil conditions, vegetation, soil humidity and simply the problem of just having relatively few data-points makes stuff tricky… That stuff changes with season. I have seen some magic improvements coming from small shop companies tweaking the models here and there a bit - massively impressed. Now, running these simulations even further into the future - I have my doubt much useful prediction is gonna come out. | |||||||||||||||||
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▲ | jjtheblunt 2 days ago | parent | prev [-] | ||||||||||||||||
what would you do with a more accurate simulation's data, besides have burned a great amount of money and (earth warming?) power to compute it? |