Learning composition requires students to produce original written work; production is how composition skills and thinking develop. Syntax production can occur without genuine composition, but authentic composition is present when a unique intelligence intentionally communicates to fulfill a purpose for a particular audience. Large language models operate on probabilistic patterns and lack capacity to think, feel, or communicate with intention; therefore they produce syntax rather than composition. Automated syntax production can serve many practical document-production needs. Incorporating LLMs into composition courses transforms those courses into document-production experiences. The ability to compose enables discerning when to automate text production and when authentic composition is necessary.
"We know we are in the presence of writing when the text has been produced by a unique intelligence acting to intentionally communicate a message that fulfills a purpose and meets the needs of a specific audience. Because they operate on probabilistic patterns, and without the capacity to think, feel or communicate with intention, large language models do not write-they produce syntax. Automated syntax production could have many useful applications in the world."
"A document-production course could be a useful experience for students. Since the appearance of ChatGPT, I have spent a fair bit of time thinking about the documents I have been required to produce as part of my various professional capacities, and the list of things I would've wished for the aid of an LLM is long: The faculty activity report, interview transcripts,"
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