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    1. A generative AI like ChatGPTData Analyst can take on the role of the evaluation soft-ware. It is expected that this manner of use will make thestudents' work easier, as less emphasis needs to be placedon the programming itself. Instead, teachers can incorpo-rate exercises that encourage students to code more effi-ciently and accurately with the assistance of AI. Thisshifts the focus from finding the right command or func-tion to examining and understanding the data moreclosely. As a consequence, students are better enabled tointerpret the results of statistical evaluation software cor-rectly, thus fulfilling goal 8 of the GAISE report.

      rhetoric: Schwarz uses a statement of transition to contrast the old education model (rote memorization of commands) with a new required model (critical examination).

      inference: This supports the argument that education and labor must start to pivot away from the "Generalist" process-oriented tasks. If the machine assistants handle the 'How' (the commands and functions), then the human must focus more on the 'Why' and the 'what does it mean (understanding/wisdom)'. This helps to validate the work of the assistants and helps to make it useful and valuable in the real world.

    2. statistical knowledge is still required in order toformulate the correct prompts and to ensure that the AIdoes not leave out any step of the analysis.

      rhetoric: author presents a prescriptive claim that AI needs humans with competent knowledge (in this case, statistics) to create prompts and ensure that the AI does not leave out any steps of the analysis. He positions domain knowledge not as a tool for using AI for statistical analysis, but a prerequisite for management of the AI and auditing the output.

      inference: In addition to policing and correcting the AI outputs, the deep domain knowledge is what allows the AI to do complex data analysis without mistakes, hallucinated results, or mathematically false outcomes. This is basically the job description of a human with "Augmented Human Wisdom". The human's value is no longer in doing math, but in possessing the vertical expertise (flesh/wisdom) to know exact what math needs to be done and ultimately auditing the assistant machine's work.

    1. Aphasia-GPT is a real-time, AI-enabled web app designed to expand the words providedby a user into complete sentences as suggestions for a user to select.

      rhetoric: authors provide a definition of their creation (Aphasia-GPT) to describe it's mechanism: taking a fragmented input and expanding it into a fully structured, complete output.

      inference: this is the embodiment of Harari's primary metanym of the word v flesh (syntax v human). in this example, Aphasia-GPT provides the words (syntax) to the fleshy human that struggles with those words, while also relying on the human to spark the intent of the communication. The human is using AI to communicate with words, because the words are very difficult for the human.