AI for Math Only Works If You Can Catch Errors
miniapeur · x · 2026-07-11
The author argues that AI, especially in math, is only useful if the user has sufficient background to catch errors; just glancing at the output and thinking it looks right is dangerous.
He emphasizes: if you ask AI to write a proof, you must be able to check each line and understand why each step holds. He also mentions that GPT-5.6 Sol has been providing clear and effective criticism on his proof assistant project, showing it can help in complex reasoning tasks, but only if humans can judge correctness.
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