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Humor is a central aspect of human communication that has not been solved forartificial agents so far. Large language models (LLMs) are increasingly able tocapture implicit and contextual information. Especially, OpenAI's ChatGPTrecently gained immense public attention. The GPT3-based model almost seems tocommunicate on a human level and can even tell jokes. Humor is an essentialcomponent of human communication. But is ChatGPT really funny? We put ChatGPT'ssense of humor to the test. In a series of exploratory experiments aroundjokes, i.e., generation, explanation, and detection, we seek to understandChatGPT's capability to grasp and reproduce human humor. Since the model itselfis not accessible, we applied prompt-based experiments. Our empirical evidenceindicates that jokes are not hard-coded but mostly also not newly generated bythe model. Over 90% of 1008 generated jokes were the same 25 Jokes. The systemaccurately explains valid jokes but also comes up with fictional explanationsfor invalid jokes. Joke-typical characteristics can mislead ChatGPT in theclassification of jokes. ChatGPT has not solved computational humor yet but itcan be a big leap toward "funny" machines.

ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models