Looks very cool, I'm sure this could save a lot of time.
10 karma · joined September 28, 2016
It seems to me that the main point of this is to show off attention to detail, creativity and tongue-in-cheek messaging when applied to the hiring process, to attract candidates who'd do the same.
Given that the lists of 1,000 were combed through manually, with at least some receiving personalized messages, it seems at the very least a little more personal than your standard hiring process, and certainly no more creepy.
I can see why people might not like deepfakes being made light of, but that seems like a pretty nuanced issue and not something I'd immediately call 'unethical'. The main things for me are that (a) the people being deepfaked are involved in the process and (b) it's made extremely clear that the videos are faked.
Overall I'd say that the standard issues of fake-personalization or deepfakes revolve around something pretending to be more real or personalized than it actually is. Given that the entire goal of this is to show off how they stitched together tech to produce something the audience would find cool, it clearly isn't trying to fool anyone - in fact, surely doing so would defeat the whole point.
Both for companies (not having to pay increasingly ridiculously high salaries to compete for Bay Area talent, due to more and more talent appearing elsewhere) and for employees (not having to move to the Bay Area or sacrifice part of their salary/leave money on the table).
I love the idea of being able to outsource the creativity/problem solving of predicting things that could go wrong with our data to a service that specialises in just that, and I can totally see how they can automate this in a big way as they grow.
In my opinion, a well designed API should be as easy to explore as folders on a computer, and the GraphiQL Explorer makes this the case by default.