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Well there was that example a while back of some store's product recommendation algo inferring that someone was pregnant before any of the involved humans knew.


That's...not hard. Pregnancy produces a whole slew of relatively predictable behavior changes. The whole point of recommendation systems is to aggregate data points across services.


The ~woman~ teenager knew she was pregnant, Target's algorithm noticed her change in behavior and spilled the beans to her father.


Back in 2012, mind you.


That wasn't LLMs, that's the incredibly vast amounts of personal data that companies collect on us and correlate to other shoppers' habits.

There was nothing involved like what we refer to as "AI" today.




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