A general artificial intelligence (AGI) is a hypothetical system that would match human intelligence across all domains, such as problem-solving, creativity, and reasoning. However, some speculate that an AI could become so advanced that it would be practically indistinguishable from a god-like entity. The intelligence of a large language model (LLM)—a type of AI trained on vast amounts of text—depends on both the language it was trained on and the size of its vocabulary. This connection between language and intelligence was explored in the science fiction film Arrival, directed by Denis Villeneuve, where a linguist attempts to decode an alien language. The film sparked discussions about how language might influence the way intelligence is expressed and understood. Intelligence is not solely tied to language. Humans use various forms of intelligence, including spatial reasoning, emotional understanding, and logical thinking. The development of language and the brain's capacity to store and process information may have shaped the total amount of knowledge that can be accessed, much like how LLMs store and retrieve information. An intriguing example of language influencing intelligence is the concept of zero. Introduced by the Indian mathematician Brahmagupta in 628, the idea of zero revolutionized mathematics, enabling advancements in science, finance, and digital technology. While vocabulary size is one measure of language complexity, grammar and structure also play a crucial role. Humans have become increasingly intelligent as a species by learning to think more abstractly. Some argue that the ultimate language might be mathematics, which provides a precise and universal framework for understanding the world. However, mathematics has its limits, as shown by Gödel's incompleteness theorem. This theory proves that within any sufficiently complex mathematical system, there are statements that are true but cannot be proven using the system's own rules. Unlike mathematics, natural language is less precise but more adaptable, making it more practical for everyday use. A more complex language, whether in human or AI systems, might lead to a deeper understanding of the universe's complexity. Such a language would likely be multidimensional and non-linear, yet still rooted in human experience. While mathematical models are useful, they often simplify the chaotic and intricate nature of reality. Thus, the evolution of language—whether in humans or AI—could be a key factor in unlocking greater intelligence and a more profound perception of the world.