591 karma · joined October 15, 2018
"Assuming something" is one integral part of the scientific method. You formulate a question, you build a hypothesis from prior knowledge, you make predictions, you test them, you analyze your results which might lead you to change your hypothesis or not. "Greatness" is finding simple hypotheses (like "the laws of physics are the same as viewed from any inertial frame and the speed of light is the same for every observer") that predict/"explain" effects that were inconsistent with prior hypotheses. Of course you can never really prove a model of the world is correct - another model that predicts differences that are too small for us to measure might be the "truth", but, until we can measure it, there isn't much use in pondering ...
Obvious in hindsight, but the profile picture is probably a goldmine for targeted advertising. Not sure if anybody does that but using that for age estimation would probably be way more accurate than the guesses I’ve seen implicitly (lots of ads like “people in <age group> love this product”) and explicitly.
That's how eyes work as well. Well, they need a light source to help, but otherwise ...
There are lots of improvements going into pytorch for mobile at the moment, but for the moment I'll wait and see how it turns out - I didn't have much fun with caffe2 when "train in pytorch and deploy with caffe2" was the storyline FB pushed (e.g. problems with binary size and slow depthwise convolutions) so not too eager to migrate back at the moment.
I can't say it's worse than other systems, but it's also far from obvious to me that it's better.