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Bit early for this very Hacker News type blurt.
Eg: Personalized medicine, predictive medicine, protein folding, climate modelling, smart grids, fraud detection, disaster response, food production modelling, etc.
So then wait until those promises have been fulfilled, as has so often been the case in Nobel prizes. Remember Higgs?
But the negative effects have been clear. Might just as well give the Nobel Peace Prize to Zuckerberg.
Always? Like atomic bombs?
> His work in ML sets the course for a better future
That very much remains to be seen, isn't it? So far, the negatives outweigh the positives.
I disagree the negatives outweigh the positive. Spellcheck, Google maps traffic, and electricity distribution are three applications I've used this morning. We dont tend to think about the successful applications, instead focusing the solely negative use like adtech.
Not really. There's no need to extract Pu-239, and it's quite a step to actually do that and then build a device that can create a large yield.
> Spellcheck
I wrote (several) spell checkers 30 years ago. One of them might still be in use. It's not deep learning.
> We dont tend to think about the successful applications
That doesn't take away the negatives, and certainly doesn't outweigh them at this moment to warrant a Nobel prize. In physics.