Yann LeCun discusses the challenges of building AI systems that are able to learn and act autonomously. He argues that we need to abandon traditional machine learning methods in favor of self-supervised learning methods. He also discusses the importance of having a world model and a cost function in order to build an effective autonomous AI system.
LeCun discusses how machine learning can be used to create autonomous intelligence, and how evolutionary principles may have helped to create this capability in some proto-humans. He also asks whether or not these methods should be more evolutionary or more diagnostic in nature.