Channeling the mythic theft of fire, harnessing the chaotic essence of AI to rekindle the ancient spark that propelled humanity forward.
Channeling the fire myths of the world, Prometheus, the Phoenix, the gods of the sun and flame. A story of technology brought to humans; to myths of destruction and rebirth. To be immortal; to be a god; it is always a paradox of fire and technology. The morality of the fire is always in question but we desire it and fear it. And yet it has changed us, we have learned so much since we first touched fire. We used it to destroy the wood, smelt the metal and build the chip. And now we teach and show the fire what we know; what we create and our reflection is there telling us our faults. The GAN is but a single neuron in a blazing star; a greater fire is coming.
One of 200 unique pieces of art in Painting With Fire: A History in GANs. Exploring the history of generative adversarial networks GAN as represented by fire. https://bardionson.com/painting-with-fire
DCGAN - Radford, Alec; Metz, Luke; Chintala, Soumith . "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks"
DCGAN, Machine Learning: In 2015, Alec Radford, Luke Metz, and Soumith Chintala introduced DCGAN (Deep Convolutional Generative Adversarial Network), a pivotal work in making GAN architectures more stable and robust, particularly for image generation.|2015|https://arxiv.org/abs/1511.06434
