Support the Podcast
Jess and I discuss construction using graph neural networks. She makes AI agents that build structures to solve tasks in a simulated blocks and glue world using graph neural networks and deep reinforcement learning. We also discuss her work modeling mental simulation in humans and how it could be implemented in machines, and plenty more.
Show notes:
Support the show to get full episodes and join the Discord community. Check out my free video series about what's missing in AI and...
Mentioned in the show: Dan’s Stanford Neuroscience and Artificial Intelligence Laboratory: The 2 papers we discuss Performance-optimized hierarchical models predict neural responses in higher...
David, John, and I discuss the role of complexity science in the study of intelligence. In this first part, we talk about complexity itself,...