The Murky History of Soviet-Born Tetris
Summary
The piece discusses how AI and LLMs are reshaping teaching and assessment, including shifting away from home-based tasks toward in-class interactions, autograding with AI, and using prompts to guide student work. It highlights advantages, trade-offs, and the need for careful calibration of AI use in education, providing practical examples from CMU’s ML in Production course and broader implications for AI-enabled workflows.