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Or that lots of compute power is more effective than decades of expertise in solving a problem...


It’s quite naive to assume compute power is the main reason for deepmind’s success.

Any bit of research into this (and most of their successes in other fields) will show otherwise.


The fact that they've succeeded in so many different fields implies that their success is due to a combination of compute power & expertise in harnessing that compute power, rather than expertise in all the different fields they have applied it to.


What is the difference between "expertise in using computing power to advance a field" and "expertise in that field"


Any bit of research into this (and most of their successes in other fields) will show otherwise.

Or you could supply references and/or an argument. The "if you researched this you'd agree with my claims" approach is pretty pernicious.


Why is it my responsibility to provide references when the parent comment provided none?

Everyone knows that Deepmind hires experts in deep learning, as well as subject matter experts. The idea that their success is just because of compute power alone is preposterous.

Even the article that this comment thread is about has extensive speculation about the techniques Deepmind used. There’s clearly a high level of anticipation to read their paper.




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