How Spotify, Grindr and Uber Make Their Predictions Come True
The systems measuring us have started deciding what is allowed to happen next.
Today: We still talk about algorithms as if they were overconfident librarians with venture capital: recommending a song, a date or a product, occasionally misunderstanding us in ways that are irritating but basically corrigible. That description is now quaint.
The systems claiming to read our preferences increasingly control the conditions under which t…
