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" In truth, generative AI is statistically going to be more accurate and right on anything I will come up with for answers regarding weather and climate, geology, or quantitative analysis. That is, even if it is wrong on some things, it is going to be more right than I ever will be and even if it is wrong, I'm not going to know it. Still-better chances of it figuring things out in that domain than me. However, if I want to be deeply knowledgeable in a particular domain, I want to be quite careful in how I use generative AI because it would be incredibly important for me to understand its limitations and aim to always have a better and deeper understanding of the subject and the way the AI tool might not get it. This leads me to think that what we might see in the future is more splitting of the core curriculum to be "Discipline 101" and "Discipline 101 for majors". So there is a generalized History, Science, Comp, etc that more actively considers the role of generative AI for students and then, a "History 101 for History Majors" that focuses more specifically on the exact skills needed to understand the discipline in a way that can more effectively discerned from Generative AI. "