WELCOME TO THE SURFACECOLLIDER BLOG, AN ARCHIVE OF IMAGES, AUDIO, TEXTS AND AFK RESEARCH AROUND THE POINT AT WHICH CODE BECOMES IMAGE.
YOU CAN FILTER THE RESEARCH BY CATEGORY WITHIN THE CONTEXT SECTION OF THE DROP-DOWN MENU ABOVE.
WELCOME TO THE SURFACECOLLIDER BLOG, AN ARCHIVE OF IMAGES, AUDIO, TEXTS AND AFK RESEARCH AROUND THE POINT AT WHICH CODE BECOMES IMAGE.
YOU CAN FILTER THE RESEARCH BY CATEGORY WITHIN THE CONTEXT SECTION OF THE DROP-DOWN MENU ABOVE.
I trained a charRNN Machine Learning (ML) model on a dataset of texts from the bibliography of my research. The text that it generates makes little sense – there isn’t a linear unfolding of narrative structure, for example, or a development of an argument over time. It’s poetic through. Purely visual.
I’m experimenting with working the model into the surfacecollider website now – using a comment box placed in the bottom-right corner of the window to let users ‘prompt’ the model to keep writing…