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Anyone with access to this technology — from state-sanctioned propagandists to trolls — would be able to skew information, manipulate beliefs, and in so doing, push ideologically opposed online communities deeper into their own subjective realities. Relying on forensic detection alone to combat deep fakes is becoming less viable, he believes, due to the rate at which machine learning techniques can circumvent them. This, he explains, is due to the flexibility of machine learning. The video was created by a Belgian political party, Socialistische Partij Anders, or sp. But this anger was misdirected. A graduate student, Ian Goodfellow, invented GANs in as a way to algorithmically generate new types of data out of existing data sets.

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By this stage, however, the creator of the videos had released FakeApp, an easy-to-use platform for making forged media.

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You thought fake news was bad? Deep fakes are where truth goes to die

This, he explains, is due to the flexibility of machine learning. The free software effectively democratized the power of GANs. The proliferation of deep fakes, Ovadya says, is likely to exacerbate this trend.

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