Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune
EPISODE 602
|
DECEMBER
5,
2022
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About this Episode
Today we’re joined by Jeff Clune, an associate professor of computer science at the University of British Columbia, and faculty member at the Vector Institute. In our conversation with Jeff, we discuss the broad ambitious goal of the AI field, artificial general intelligence, where we are on the path to achieving it, and his opinion on what we should be doing to get there, specifically, focusing on AI generating algorithms. With the goal of creating open-ended algorithms that can learn forever, Jeff shares his three pillars to an AI-GA, meta-learning architectures, meta-learning algorithms, and auto-generating learning environments. Finally, we discuss the inherent safety issues with these learning algorithms and Jeff’s thoughts on how to combat them, and what the not-so-distant future holds for this area of research.
About the Guest
Jeff Clune
OpenAI
Resources
- Paper: AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
- POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions through the Paired Open-Ended Trailblazer
- Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
- Learning to Play Minecraft with Video PreTraining (VPT)
- Generally capable agents emerge from open-ended play
- Advancing Deep Reinforcement Learning with NetHack with Tim Rocktäschel
- Expectation Maximization, Gaussian Mixtures & Belief Propagation, OH MY! with Inmar Givoni
- Neuroevolution: Evolving Novel Neural Network Architectures with Kenneth Stanley