"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,"
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.
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