A recent study has found fascinating similarities in how the human brain and artificial intelligence models process language. The research, published in Nature Communications, suggests that the brain, like AI systems such as GPT-2, may use a continuous, context-sensitive embedding space to derive meaning from language, a breakthrough that could reshape our understanding of neural language processing.