Overview
Generative AI models like Stable Diffusion and ChatGPT are trained on datasets containing billions of images and words. They are capable of rendering realistic and compelling images, sounds, and text. They’re also “guided” by human operators through natural language interface.
Whether we know it or not, we are building a global brain that may soon account for a significant fraction of all the media generated on and for the internet. So, if humans can be said to have something resembling a collective mind, Gene Kogan is convinced these technologies provide a window to its imagination.
This talk will summarize the state of the art, speculate on the future applications and ramifications of these techniques, and explore what they tell us about ourselves.
Objective
Understand the how generative AI affects how we create and communicate.
Five Things Audience Members Will Learn
- What are generative AI models and how are they trained.
- How these technologies will evolve and improve over time.
- How generative AI amplifies human creativity.
- The ways in which foundation models like ChatGPT reflect collective human intelligence and knowledge.
- What ways generative AI overlaps with apparently unrelated or adjacent technologies.
Target Audience
Creative professionals, technologists, and artists interested in generative AI.
