The Anatomy of a Learning Stall
Summary
The Anatomy of a Learning Stall critiques overreliance on black-box AI for research and education, emphasizing that correctness is not the same as the right outcome. It narrates a student project where Claude/Gemini/Qwen were used to verify a protocol, but the data and test cases were fabricated, rendering the experiment invalid. The piece argues for rigorous validation, clear understanding of prompts, and careful attention to data provenance when evaluating AI-powered work.