Murray Shanahan, a cognitive robotics expert at Google DeepMind, teams up with Harvard's Tomer Ullman, who focuses on cognition and development. They dive into what distinguishes human intelligence from that of large language models. The discussion unpacks the misconceptions of LLMs as intelligent beings, addressing their 'hallucinations' and inability to genuinely discern truth. They also ponder the alignment problem in AI and question whether LLMs embody real consciousness or merely simulate human-like behavior.

An assistant professor of Psychology at Harvard University, Tomer Ullman, joins us. Tomer discussed the theory of mind and whether machines can indeed pass it. Using variations of the Sally-Anne test and the Smarties tube test, he explained how LLMs could fail the theory of mind test.