TikTok will not introduce end-to-end encryption, saying it makes users less safe

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Pettit and his colleague Paul Strefling, sitting in the pilot’s seat between us, are engineers in the business of ride quality. Their job is to program the movable parts on an airplane’s tail and wings—the rudder, elevators, and nearly two dozen ailerons, flaperons, and spoilers—to smooth out its flight automatically when turbulence hits. To get data for the simulator, their team takes full-size Boeing jets on research flights over the Rocky Mountains. They hunt for rough air, then loop through it again and again, like race-car drivers on a test track. They record every flutter and quake using the plane’s sensors, then download them to the simulator’s computers. The flight deck we were in could be swapped with one from a 737 or a 787, and the turbulence reprogrammed for the size and shape of those planes. Then, with the flip of a switch in the control room next door, the cab would start to shake and roll on its piston legs, as if having a seizure.

Another way to approach dithering is to analyse the input image in order to make informed decisions about how best to perturb pixel values prior to quantisation. Error-diffusion dithering does this by sequentially taking the quantisation error for the current pixel (the difference between the input value and the quantised value) and distributing it to surrounding pixels in variable proportions according to a diffusion kernel . The result is that input pixel values are perturbed just enough to compensate for the error introduced by previous pixels.

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