And that was over ten years ago. This stuff has only got better since then. I don’t believe they need to listen in to get scary levels of information from you. More than enough to make people convinced they’re listening like some kind of Batman shit.
The thing is, unless there’s a great breakthrough, individual behavior is dramatically less predictable than mob behavior. The Target algorithm was a great case study, but they sent those ads/coupons to EVERYONE who fit the algorithm, and much of the time they were EITHER right OR wrong. Target dropped that particular style of campaign because it had too low a match rate (hitting too many non-pregnant folks and missing too many pregnant ones). When it had that “shocking success”, was it truly a great moment for predictive AI’s, or just the chips falling right with the AI simply adjusting odds a bit?
But no, the predictive technology is harder; I say that as someone who has worked in a predictive data science division. The tuning required to make a model work better than control is hard. Ultimately, if you get ads for something you’ve never searched for before the same day you SAY you want that something, it’s the voice recognition. I’ll be clear, most models we’d work on would fail to prove themselves, get thrown out, and be picked up again. If we’d had the abililty to buy voice matches for the word “insurance” from Amazon/Google, we have been in bloody paradise.
“Oh, you wanted me to make a soda fizz, right? We should get St. Germain because that’s good in it.” … starts getting St. Germain commercials every 5 minutes. Didn’t even know they had commercials. Fucking St. Germain.
Is it though?
https://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/
And that was over ten years ago. This stuff has only got better since then. I don’t believe they need to listen in to get scary levels of information from you. More than enough to make people convinced they’re listening like some kind of Batman shit.
Oh I followed that one, too.
The thing is, unless there’s a great breakthrough, individual behavior is dramatically less predictable than mob behavior. The Target algorithm was a great case study, but they sent those ads/coupons to EVERYONE who fit the algorithm, and much of the time they were EITHER right OR wrong. Target dropped that particular style of campaign because it had too low a match rate (hitting too many non-pregnant folks and missing too many pregnant ones). When it had that “shocking success”, was it truly a great moment for predictive AI’s, or just the chips falling right with the AI simply adjusting odds a bit?
But no, the predictive technology is harder; I say that as someone who has worked in a predictive data science division. The tuning required to make a model work better than control is hard. Ultimately, if you get ads for something you’ve never searched for before the same day you SAY you want that something, it’s the voice recognition. I’ll be clear, most models we’d work on would fail to prove themselves, get thrown out, and be picked up again. If we’d had the abililty to buy voice matches for the word “insurance” from Amazon/Google, we have been in bloody paradise.
“Oh, you wanted me to make a soda fizz, right? We should get St. Germain because that’s good in it.” … starts getting St. Germain commercials every 5 minutes. Didn’t even know they had commercials. Fucking St. Germain.