  Humor is a central aspect of human communication that has not been solved for
artificial agents so far. Large language models (LLMs) are increasingly able to
capture implicit and contextual information. Especially, OpenAI's ChatGPT
recently gained immense public attention. The GPT3-based model almost seems to
communicate on a human level and can even tell jokes. Humor is an essential
component of human communication. But is ChatGPT really funny? We put ChatGPT's
sense of humor to the test. In a series of exploratory experiments around
jokes, i.e., generation, explanation, and detection, we seek to understand
ChatGPT's capability to grasp and reproduce human humor. Since the model itself
is not accessible, we applied prompt-based experiments. Our empirical evidence
indicates that jokes are not hard-coded but mostly also not newly generated by
the model. Over 90% of 1008 generated jokes were the same 25 Jokes. The system
accurately explains valid jokes but also comes up with fictional explanations
for invalid jokes. Joke-typical characteristics can mislead ChatGPT in the
classification of jokes. ChatGPT has not solved computational humor yet but it
can be a big leap toward "funny" machines.
