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"Fake videos can now be created using a technique called a generative adversarial network, or GAN.

Although the machine learning breakthroughs in computer graphics are impressive, researchers should be more cognizant of the ramifications of what they’re creating. “It is not clear that the positive implications outweigh the negative.”

“Deep fakes are amplifying the liar’s dividend. When nothing is true, the dishonest person will thrive by saying what’s true is fake.”

theguardian.com/technology/201

@doina I am so tired of the "Well someone is going to do it so it might as well be me" justification.

@doina A lot of this tech isn't going to be at The Running Man level of believability for a while. Even if it gets there, it's not like truth has ever depended on evidence. 9/11 pretty much proved the government + media defined the narrative. Anyone who doesn't eat the official narrative is labelled a conspiracy theorist nut job despite the mountains of evidence to the contrary in plain sight.

@doina My argument is that whether these are good technologies or not (it's not), researchers should look into them so we can be aware of them.

We don't want our enemies figuring out how to create these "deep fakes" and for us not knowing that's a thing to believe them.

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