This educational material explores neuroscience as a foundational model for artificial intelligence, specifically focusing on how the brain constructs a "world model" to interpret reality. The text argues that the brain is not a passive recorder but an active simulation machine that uses sensory data to update its internal representations. It details several prominent theories of brain function, including the Thousand Brains Theory, which proposes that knowledge is structured through spatial reference frames, and Predictive Coding, which views the brain as a device for minimizing surprise. By comparing biological intelligence to current AI, the source highlights how computational principles like active inference and uncertainty management could solve modern AI limitations. Ultimately, the material serves as a technical bridge, encouraging AI practitioners to adopt biological architectures to achieve more robust, general intelligence.