In this channel's captured material, training corpus is the term for the body of text a language model draws from: the large collection of writing that shapes what the model produces. The conversations here use it when exploring what language models tell us about the nature of language — what a model's outputs reflect about its source material, and what that in turn reveals about human meaning, creativity, and the self. As you explore the related chapter on AI and human meaning, use this term to articulate the distinction between the raw corpus and the claims a model makes from it.