Wonder Studios, backed by OpenAI, DeepMind execs, raised $12M to bring AI content to Hollywood
Generative Adversarial Networks refer to a family of generative models that seek to discover the underlying distribution behind a certain data generating process. This distribution is discovered through an adversarial competition between a generator and a discriminator. As we saw in an earlier introductory post on GANs, the two models are trained such that the discriminator strives to distinguish between generated and true examples, while the generator seeks to confuse the discriminator by producing data that are as realistic and compelling as possible.
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Recently, I saw the movie "M3GAN." In my opinion, it is one of the most realistic movie AIs. While the AI used in the movie is obviously fictional, the ethical problem it mentions isn't.
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