Part 4/11:
A significant portion of Lakhani's discussion centered around the concept of world models. He contends that current models—primarily reliant on text—fail to encapsulate the complexities of our physical reality. To illustrate this, he elaborated on the mechanics of how humans develop internal models from infancy, learning through experiential interactions rather than through language alone.
In Lakhani's view, the existing architectures for predicting outcomes based on token sequences are inadequate for mastering the multifaceted nature of the physical world. The simplistic view of next token prediction, he argues, does not hold when the task at hand involves tangible, real-world interactions.