Generative artificial intelligence as a technology for enhanced content communication

Generative artificial intelligence has shown the potential for developing tailor-made, on-demand, software solutions from requests formulated in natural human language. While it can be argued that the coding could be done by human authors, this kind of tool can be used by anyone with hardware as simple as a cheap smartphone, in interactive and iterative procedures, presenting results in real time that can be tested and assessed immediately, with users allowed to request modifications. Furthermore, these solutions offer a high cross-platform potential and could be deployed on almost any kind of popular hardware.In this work, the potential of generative artificial intelligence as a technology for making enhanced visualization products for a first-year course on Mineralogy is assessed through different kinds of examples.The first case consists of a plot of hardness and relative density of minerals, expanded with each point having additional information on the considered minerals regarding such features as streak, cleavage,and magnetism.Generative artificial intelligence was also used to produce a plot with the CIELAB color coordinates of gemological varieties of beryl.A more complex example consists of making dynamic models showing cleavage planes in relation to crystal shapes, which was done for wolframites and fluorite. Finally, in what is frequently a major problem for students in this kind of course, it was requested an interactive and iterative plot for stereographic projection of crystal shapes (poles of crystal faces) for different crystal classes. The answers from several Android , freely available, were assessed in terms of illustration potential, albeit no data has been collected on teaching efficacy, as well as reliability (considering that these applications can produce spurious results).