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> (And, as a minor point, his idea that Senegal is representative of "Africa" as a whole is also... let's say "unfortunate") Senegal was just an example he gav
by tinyhouse 6y ago
> (And, as a minor point, his idea that Senegal is representative of "Africa" as a whole is also... let's say "unfortunate")
Senegal was just an example he gave in a tweet. No need to be so petty on every word.
- guerrilla 6y agoIt's not the words, it's the idea that Senegal is representative of darker people and could produce the correct results. It's an indication that he still doesn't understand.
- madaxe_again 6y agoIsn’t “Africa” just as bad, if not worse? Not all black people are Africans or have African heritage. Far from it, in fact. Also: darker? Darker than what? Are you taking “white” as your baseline? I mean, if you’re going to throw stones about how “you don’t understand”, you could try having a rational point.
- guerrilla 6y agoUsing Senegal would make people look Senegalese, not "African." > Not all black people are Africans or have African heritage. Far from it, in fact. Exactly. That's the "rational" point: the mistake was training the data on anything but the target population. Nobody is contenting that it could have been trained on something else: it wasn't and that fact is the problem. > Also: darker? Darker than what? Are you taking “white” as your baseline Darker than the white people the algorithm turns most inputs into. Have you seen the results?