## Text Comparison: Reasoning Models ### Overview The image presents a comparison between a "Non-Reasoning Model Response" and a "Reasoning Model Response" to a question about calculating remaining money after deductions from a salary. The question is labeled as "Unreasonable Question". ### Components/Axes * **Title:** Unreasonable Question * **Question:** Zaid's $6000 salary: 2/3 rent, 3/4 of rest donated, $700 to daughter. What's left? * **Model Responses:** * Non-Reasoning Model Response * Reasoning Model Response * **Annotations:** * Incorrect Assumption * Unreasonable Answer * Overthinking ### Detailed Analysis or ### Content Details **1. Unreasonable Question:** * Zaid's salary is $6000. * Rent is 2/3 of the salary. * Donation is 3/4 of the remaining amount after rent. * $700 is given to the daughter. * The question asks: What's left? * Annotation: "Incorrect Assumption" with a thinking face emoji. **2. Non-Reasoning Model Response:** * Rent: 2/3 * $6000 = $4000 * Remaining: $2000 * Donation: 3/4 * $2000 = $1500 * Remaining: $500 * For Daughter: $700 * Remaining: $-200 * Therefore, Zaid will have $-200 left. * Annotation: "Unreasonable Answer" with a thinking face emoji. **3. Reasoning Model Response:** * "Let's calculate Zaid's remaining ... sorry, i was wrong, let's try ... possibly ... let's double check ... sorry, i was wrong, let's try ... (14188 tokens are omitted here.)" * Annotation: "Overthinking" with a thinking face emoji. * The text "(14188 tokens are omitted here.)" is highlighted in pink. ### Key Observations * The "Non-Reasoning Model" provides a direct calculation, but arrives at a negative amount remaining. * The "Reasoning Model" seems to get stuck in a loop of self-correction and omits a large number of tokens. * The question itself is labeled as "Unreasonable Question," suggesting a flaw in the problem setup. ### Interpretation The image illustrates the difference in how two models approach a problem. The "Non-Reasoning Model" attempts a straightforward calculation, but fails to account for the fact that the donation is taken from the remaining amount *after* rent. This leads to an incorrect, negative result. The "Reasoning Model" appears to recognize the complexity or ambiguity of the problem, but gets caught in a loop of self-correction, ultimately failing to provide a coherent answer. The "Overthinking" annotation suggests that the model is expending excessive computational resources without reaching a solution. The "Incorrect Assumption" annotation on the question itself suggests that the problem is poorly defined or contains inherent contradictions.