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by simsla
2936 days ago
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If I remember correctly, the product in that episode was applying "snapchat filters" (deformation/modification/accessories) to animal faces. It was portrayed like this stupid job, but as an ML researcher myself my first thought was: "that's a pretty cool/challenging problem!" It's funny how things that can seem hard can be so simple, and vice versa! I guess it depends on the person whether they're looking for an interesting challenge, or to make an impact - - because the two are often perpendicular. |
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Look at the engineers credited at the bottom of the article: "graduate of Carnegie Mellon University with a degree in Computer Science", "Ph.D. in Electrical Engineering and Computer Science from UC Berkeley", "Ph.D. in statistical machine learning from Duke University" these are some extremely intelligent and educated people but they are using their skills to help you choose between Chinese food and Indian?
We've already seen this situation described as the "Internet of Stuff Your Mom Won’t Do for You Anymore” and stuff like this doesn't really help. I really think that innovation is dead in silicon valley, its more about catering to needs of nerdy man-boys with lots of money to blow.