Nghi D. Q. Bui submitted a paper introducing Thinking-in-Bets, a training-free method that asks an agent to privately record its main claims, supporting checks, and confidence before reading user feedback. The paper evaluates five Gemini models across eight benchmarks and reports that recording claims before criticism nearly eliminates false reversals in patch review, protects passing report drafts under mistaken pushback, and reduces unnecessary file edits in multi-turn coding.