Explore the cutting-edge concepts of self-organizing and self-assembling AI in this thought-provoking interview with Professor Sebastian Risi. Delve into topics such as swarm intelligence, neural cellular automata, and the game of life, examining how local computations compare to centralized systems. Discover potential applications beyond games and graphics, and ponder whether AI can function without explicit goals. Investigate the paradox of scales in relation to brain function, draw connections to graphical systems and Graph Neural Networks, and consider how these approaches might solve complex problems like the Abstraction and Reasoning Corpus (ARC). Gain insights on getting started in this fascinating field of AI research, with references and resources provided for further exploration.
The Future of AI Is Self-Organizing and Self-Assembling - With Prof. Sebastian Risi
Overview
Syllabus
- Introduction
- Start of Interview
- The intelligence of swarms
- The game of life & neural cellular automata
- What's missing from neural CAs?
- How does local computation compare to centralized computation?
- Applications beyond games and graphics
- Can we do away with goals?
- Where do these methods shine?
- The paradox of scales & brains
- Connections to graphical systems & GNNs
- Could this solve ARC?
- Where can people get started?
Taught by
Yannic Kilcher
