Identification and Coding of “Interesting” Mandelbrot Set Regions entirely by ChatGPT

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The aim of the paper was to identify and illustrate ten visually interesting or appealing regions of the Mandelbrot set via the generative artificial intelligence chatbot ChatGPT.
The aim of the paper was to identify and illustrate ten visually interesting or appealing regions of the Mandelbrot set. The code required for this task, was generated entirely by the generative artificial intelligence chatbot ChatGPT. After submitting a short prompt to ChatGPT, the resulting code was then repeatedly executed in Python for generating the plots.

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Johann Markus Schauerhuber
During his studies and academic resp. professional activities Prof. Dr. Dr. Johann Markus Schauerhuber has been intensively involved in statistical programming, stochastic, risk theory, simulation and mathematical modeling. Most of his professional experience has been gained in the university domain as an academic director, postdoc lecturer / researcher and in government authorities. Email: jm_schauerhuber@gmx.at

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