  New chat AI applications like ChatGPT offer an advanced understanding of
question context and memory across multi-step tasks, such that experiments can
test its deductive reasoning. This paper proposes a multi-role and multi-step
challenge, where ChatGPT plays the classic twenty-questions game but
innovatively switches roles from the questioner to the answerer. The main
empirical result establishes that this generation of chat applications can
guess random object names in fewer than twenty questions (average, 12) and
correctly guess 94% of the time across sixteen different experimental setups.
The research introduces four novel cases where the chatbot fields the
questions, asks the questions, both question-answer roles, and finally tries to
guess appropriate contextual emotions. One task that humans typically fail but
trained chat applications complete involves playing bilingual games of twenty
questions (English answers to Spanish questions). Future variations address
direct problem-solving using a similar inquisitive format to arrive at novel
outcomes deductively, such as patentable inventions or combination thinking.
Featured applications of this dialogue format include complex protein designs,
neuroscience metadata, and child development educational materials.
