Explore the concept of AI-Generating Algorithms (AI-GAs) in this 42-minute conference talk from GECCO 2021. Delve into the three essential pillars for creating powerful, general AI: meta-learning architectures, meta-learning learning algorithms, and generating effective learning environments. Discover why AI-GAs present a unique opportunity for the evolutionary reinforcement learning community, including researchers focused on Quality Diversity and Open-Endedness. Examine successful examples of combining evolutionary and mainstream RL ideas, such as the Go-Explore and POET algorithms. Gain insights into future research directions and understand how this approach could revolutionize the field of artificial intelligence. Learn about the challenges of catastrophic forgetting, the importance of intrinsic motivation, and the potential of meta-learning in continual learning scenarios.