They didn't say "they all look alike", they said that white faces have more contrast so are easier to differentiate even with a naïve CV algorithm. It's one more source of systemic bias in the ML literature, especially given the comparative scarcity of source data from non-majority groups.

Here's what I said: "if you partitioned the faces by race the output of the SVD would be much wider for white people [...] white people have more light/dark contrast, more hair colors, more eye colors, etc.". This is an obvious fact that is widely recognized by CV practitioners.