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"W hat What do I mean when I say the internet is reading my mind? I don't mean simply that it collects my data and observes patterns and interacts with me by reconfiguring that data in ways designed to engage me. I'm not talking only about targeted ads; as they have become increasingly sophisticated, my sense of failure when I succumb to them has morphed into something more like begrudging respect. You got me, internet. I bought those Instagram jogging pants. I am no different from every other playable bundle of synapses holding a phone."

"Yet so-called smart devices inarguably depend on thousands of low-paid humans who annotate sound snippets so tech companies can upgrade their electronic ears; our faintest whispers have become one of their most valuable datasets."

"Researchers involved in a recent study trained an artificial intelligence (AI) model to diagnose type 2 diabetes in patients after six to 10 seconds of listening to their voice. Canadian medical researchers trained the machine-learning AI to recognise 14 vocal differences in the voice of someone with type 2 diabetes compared to someone without diabetes. The auditory features that the AI focussed on included slight changes in pitch and intensity, which human ears cannot distinguish. This was then paired with basic health data gathered by the researchers, such as age, sex, height and weight. Researchers believe that the AI model will drastically lower the cost for people with diabetes to be diagnosed."