8am☕Coffee

AI learning to prove theorems by thinking step-by-step like a human mathematician is examined, with attention to whether models can develop chain-of-thought reasoning in the absence of perfect instructions. The discussion evaluates the challenge of eliciting human-like proof strategies, the role of intermediate reasoning steps, and how imperfect or partial guidance affects model performance on formal and informal mathematical tasks. The focus remains on the feasibility and limits of stepwise theorem proving by AI.