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(Second generation application: Hitler sums it up, now with fewer subtitles) There are innocuous uses, of course.

It's a truism of the TV business that the camera adds ten kilograms.

Being able to train a network to recognize the cadences of our target's intonation, though, and then to modulate a different speaker's words so they come out sounding right takes it into a whole new level of plausibility for human viewers, because we give credence to sensory inputs based on how consistent they are with our other senses.

What are the high-end applications, beside destroying all trust in news media forever? (PS: This blog entry was delayed because I needed to finish and formally submit "The Labyrinth Index". What I'm not seeing yet is the obvious application of this sort of deep learning to speech synthesis.It's all very well to fake up a video of David Cameron fucking a goat, but without the bleating and mindless quackspeak it's pretty obvious that it's a fake.He challenged research subjects to connect all nine dots using just four straight lines without lifting their pencils from the page.Today many people are familiar with this puzzle and its solution.

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