Instead of just solving problems, students create them — drawing from language, culture, logic, creativity, and real-world knowledge.

Each round, humans and an AI both try the tests. The class then analyzes the results, learns why the AI failed or succeeded, and iterates to make stronger "human advantage" challenges.

It’s part game, part lesson in AI literacy, and part exploration of what makes human thinking unique — at least for now.