Deep World

Against nationalism, multiply fictional nations!
Marco Kempf and Simon Zimmermann developed the wiki framework DeepWorld. DeepWorld is a compilation of “artificial countries” generated by neural networks which uses data of all existing countries (around 195) to generate new anthems, flags and other descriptors. The project is a hybrid of critical reflection on national identities in combination with practical research in deep learning applications, such as Generative Adversarial Networks (GAN) and Recurrent Neural Networks (RNN). This generated ‘world model’ acts less as a utopian alternative to our physical world, than as a view of our world from the ‘eye’ of an alternative intelligence.