Jeff Clune, an AI professor specializing in open-ended evolutionary algorithms, discusses how AI can push the boundaries of creativity. He shares insights on creating 'Darwin Complete' search spaces that encourage continuous skill development in AI agents. Clune emphasizes the challenging concept of 'interestingness' in innovation and how language models can help identify it. He also touches on ethical concerns and the potential for AI to develop unique languages, underscoring the importance of ethical governance in advanced AI research.

Are AI-generating algorithms the path to artificial general intelligence(AGI)? 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. The complete show notes for this episode can be found at twimlai.com/go/602.