"After following study participants for six months after making their decision, Levitt found that those who had opted for the choice that involved making a change (as opposed to sticking with the status quo) were more satisfied with their decision and generally happier."


Since 2012, the amount of compute for training to AlexNet-level performance on ImageNet has been decreasing exponentially — halving every 16 months, in total a 44x improvement.

By contrast, Moore's Law would only have yielded an 11x cost improvement:


"My Bay Area friends treat people as naturally motivated, and assume that if someone acts unmotivated, it’s because they’ve spent so long being taught to suppress their own desires that they’ve lost touch with innate enthusiasm. Personified China treats people as naturally unmotivated, and assumes that if someone acts unmotivated, it’s because they haven’t been trained to pursue a goal determinedly without getting blown around by every passing whim."

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Personal server of Lukáš Lánský