I think people are potentially overestimating too how obvious this was in hindsight. Quick experiment: we know that Youtube recommendations are based on your wa

I think people are potentially overestimating too how obvious this was in hindsight. Quick experiment: we know that Youtube recommendations are based on your watch history. And it seems reasonable to assume that humans could see part of that. But how much can they see? Watch history seems like something that would be difficult to analyze in tiny chunks, you'd really like your researchers to see large periods of watch history. So maybe anonymization is, "here's a months worth of videos, and it's linked to an ID, but not a username." Without looking it up online, for anyone who wants to take a guess, how do people think that Google's Youtube algorithm training works for recommendations? How much of your full watch history do you think a contractor can see at a time? What anonymization efforts do you think Google uses? Or do you think it's mostly automated based on automatic classification? If the Verge or Motherboard put out an article tomorrow that said that contractors could see your entire watch history, would you be surprised? If an article came out tomorrow and said that to help train email classification, human contractors were reading GMail messages, would that surprise anyone here, or is that something we collectively expect already?