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.
Alongside working with my own charRNN model, I’ve been experimenting with OpenAI’s large language model, GPT-3. It’s trained on a 45 TB dataset of texts scraped from the Internet and digitised books. I’m trying to find out how to interface with the API so that I can implement it within the surfacecollider site. Here are some of GPT-3’s offerings based on prompts written by myself, and built into a locally hosted webpage I’ve called ‘dead text’.