In essence, the human brain boasts both a language prediction system and an inner simulation. The evidence supporting this claim is derived from experiments that pit one system against the other. The neocortex not only predicts words but also has the capability to construct inner simulations. It is this combination that sets human language apart, as it doesn’t solely rely on syntax but also enables the rendering of shared inner simulations, fostering a deep level of understanding.
While GPT-3 can respond correctly to many mathematical questions, it lacks the capacity to simulate and reason in the same way humans do. The human brain doesn’t merely predict words; it actively engages in inner simulations, facilitating profound comprehension. This differentiation underscores the challenges AI faces in attaining human-like cognitive abilities.
The journey of AI development continues, and while it has made remarkable strides, the quest to bridge the gap in reasoning and simulation remains an intriguing challenge. The human mind, with its inner simulation capabilities, serves as a model and a reminder of the complex and multifaceted nature of human cognition.
