Ev Fedorenko, a cognitive neuroscientist at MIT, has been researching the human brain's language processing system for over 15 years. She identifies a specialized network in the brain known as “the language network,” which functions like a biological version of a large language model (LLM). This network maps words to meanings and helps translate external inputs like speech and writing into comprehensible thoughts. Unlike LLMs, which generate text without understanding, the human language network interacts with various cognitive functions, making it integral to how we understand and produce language. Fedorenko's findings, published in 2024 in *Nature Reviews Neuroscience*, define this network as a “natural kind,” similar to organs like the digestive system. The core areas of the language network are concentrated in the left frontal lobe and along the temporal lobe. Through fMRI scans of about 1,400 participants, consistent patterns of activation in these regions were observed when processing language. Fedorenko distinguishes the language network from Broca’s area, emphasizing that the latter is primarily involved in planning speech movements rather than language comprehension or production. The language network operates as an intermediary between basic sensory inputs and complex cognitive functions. During language production, it retrieves vocabulary and grammatical structures to convey thoughts. In comprehension, it decodes incoming sounds or visual cues into meaningful word sequences. This network is dynamic, continually updated with new experiences, and is essential for effective communication despite its small size—roughly the size of a strawberry. Damage to this network can lead to aphasia, where individuals struggle to express thoughts even while their cognitive abilities remain intact.