Evolution of AI Systems and Language Acquisition

Exploration of how AI systems evolve by integrating sensory inputs akin to language acquisition in humans, highlighting the importance of sensory understanding in language learning. The chapter discusses the training of AI models to comprehend intuitive physics and navigate the world, emphasizing the need for a middle ground representation of reality. It also delves into the limitations of AI in propositional logic tasks and whether these can be mitigated through targeted training, while questioning the feasibility of duplicating human cognitive performance through AI.