This seems just as bad as the time a private prison asked the ML startup I was at to make an algorithm to guess if someone would be a repeat offender. We declined of course.
There is nothing that the algorithm can detect to determine your behavior all it does is weighted pattern recognition against the database (read: folder full of images). Insane that they made this and dared to publish it. It is fundamentally dishonest to imply this works.
This would been laughed outta the room a few years ago. That Nature agreed to publish this is a pretty damning sign of where our academic discourse is at.
*would’ve
“Exactly what distinguishes a red face from a blue face is kind of hard to define, at least according to the paper. Kosinski attempted to isolate a few facial features—like the glasses they’re wearing in a given photo, or the way their face was tilted towards the camera...
“—and tested whether these traits could act as predictors for that person’s political leanings as well. Suffice to say, none of these features were as on-target as this black box of an algorithm.”...
Grifters gonna grift I guess.
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Having lived through the mainstreaming of tech, lemme tell you that some of you are really not ready for what magic becoming mainstream will feel like. Bad TikTok takes are just the beginning.
The loudest voices will be influencers and brands who know the least and/or simplify the most.
Experts will be seen as rude or unapproachable because they expect the person asking questions to do a modicum of work to ask a question worth answering.