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Just because there happens to be economical viability for a field currently doesn't mean that field needs less introspection. Exactly what research contributions the people who are throwing hundreds of millions of dollars worth of GPUs at the next random "research" problem at the top of the queue at Microsoft or Google are making to deserve a Nobel?

Too often there is near zero intuition for why research in AI yields such incredible results. They're mainly black boxes that happen to work extremely well with no explanation and someone at a prestigious institution just happened to be there to stamp their name on top of the publication.

Big difference between research in AI and any non-computational/statistical/luck-based science.



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