  In what will likely be a litany of generative-model-themed arXiv submissions
celebrating April the 1st, we evaluate the capacity of state-of-the-art
transformer models to create a paper detailing the detection of a Pulsar Wind
Nebula with a non-existent Imaging Atmospheric Cherenkov Telescope (IACT)
Array. We do this to evaluate the ability of such models to interpret
astronomical observations and sources based on language information alone, and
to assess potential means by which fraudulently generated scientific papers
could be identified during peer review (given that reliable generative model
watermarking has yet to be deployed for these tools). We conclude that our jobs
as astronomers are safe for the time being. From this point on, prompts given
to ChatGPT and Stable Diffusion are shown in orange, text generated by ChatGPT
is shown in black, whereas analysis by the (human) authors is in blue.
