Jacob Andreas, an MIT associate professor specializing in language learning and intelligent systems, shares his fascinating insights. He discusses the philosophical challenges of grounding language in real-world contexts and compares human understanding to that of large language models. Jacob reflects on the evolution of language processing, the complexities of word embeddings, and how research paradigms have shifted over time. Additionally, he explores the concept of world models in AI and their critical role in decision-making, enhancing the understanding of language's connection to cognition.