Jonas and Tim explore the concept of behavioral plasticity in AI systems, emphasizing the potential for these systems to create their own goals rather than relying solely on human-defined objectives. Tim highlights the significance of active inference, which operates without explicit rewards, while Jonas argues that even this approach is ultimately human-engineered at a fundamental level. The discussion reveals how different frameworks can lead to varied emergent behaviors in AI.
