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The Surveillance Crisis
How-ToMachine Learning

The Surveillance Crisis

via Dev.toTim Green1mo ago

When Match Group CEO Spencer Rascoff announced Tinder's newest feature in November 2025, the pitch was seductive: an AI assistant called Chemistry that would get to know you through questions and, crucially, by analysing your camera roll. The promise was better matches through deeper personalisation. The reality was something far more invasive. Tinder, suffering through nine consecutive quarters of declining paid subscribers, positioned Chemistry as a “major pillar” of its 2026 product experience. The feature launched first in New Zealand and Australia, two testing grounds far enough from regulatory scrutiny to gauge user acceptance. What Rascoff didn't emphasise was the extraordinary trade users would make: handing over perhaps the most intimate repository of personal data on their devices in exchange for algorithmic matchmaking. The camera roll represents a unique threat surface. Unlike profile photos carefully curated for public consumption, camera rolls contain unfiltered reality.

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