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OpenAI 01 Level Reasoning at 4o pricing!!!! This prompt provides and implementation of search based chain of experts to provide increased reasoning capabilities out of non 01 models. It works by selecting expert personas in the problem domain and using those experts to search for potential solutions to the problem before combining their ideas and selecting the right answer.
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Updated: 1 day ago
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Prompt Details
Model
Chat - GPT-4o (gpt-4o)
Token size
1,764 ($0.08820 / call)
Example input
[your question]: You are playing Russian roulette with a six-shooter revolver. Your opponent puts in five bullets, spins the chambers and fires at himself, but no bullet comes out. He gives you the choice of whether or not he should spin the chambers again before firing at you. Should he spin again?
Example output
Chain of Experts Execution for Russian Roulette Question
Step 1: Choose Relevant Experts
Probability Expert: Specializes in probability and statistics to calculate the odds of outcomes based on explicit data.
Game Theory Expert: Focuses on decision-making strategies under uncertainty and adversarial situations.
Risk Analysis Expert: Evaluates the potential consequences and strategies for minimizing harm in high-risk scenarios.
Step 2: Lay Person Objective and Evaluation Criteria
Lay Person Objective: Determine whether the opponent in the Russian roulette scenario should spin the chambers again before firing, based solely on the explicit data provided in the question.
Evaluation Criteria:
Accuracy of Probability Calculation: Ensure all calculations align with explicitly stated facts.
Clarity and Simplicity: The solution should be clear and straightforward for anyone to understand.
Strategic Soundness: The reasoning should consider all implications for maximizing survival odds.
Explicit Data Utilization: Use only the facts explicitly stated in the problem.
Logical Consistency: Ensure no logical gaps or unjustified assumptions.
Execution
Expert 1 - Probability Expert
Iteration #1: Initial Attempt
Explicit Data Points and Inferences:
Data: There are six chambers, five bullets, and the opponent spins and fires without a bullet coming out.
Inference: One chamber is empty; this was the chamber aligned to the firing position.
Solution Path:
After the first spin and fire, the bullet was not discharged, meaning the opponent fired from the one empty chamber.
Scenario Without Spinning Again:
The gun's position remains unchanged, and the next trigger pull will move the firing pin to the next chamber in sequence.
There are 5 bullets remaining in 5 chambers, meaning a 100% chance of firing a bullet next.
Scenario With Spinning Again:
A new random position is chosen. There is 1 empty chamber among 6, so the probability of survival is
1
6
6
1
​
, or ~16.7%.
Conclusion:
The opponent should spin the chambers again, as it offers a 16.7% chance of survival versus 0%.
Evaluate & Critique #1 (Moderator)
Strengths:
Correct probability calculation.
Clear reasoning for both scenarios.
Logically consistent with explicit data.
Weaknesses:
Did not address potential psychological factors or strategic elements.
Iteration #2: Refined Solution
No refinements required. The conclusion remains valid: Spin again for better survival odds.
Expert 2 - Game Theory Expert
Iteration #1: Initial Attempt
Explicit Data Points and Inferences:
Data: Six chambers, five bullets, the opponent spins, and no bullet fires.
Inference: A new decision must optimize the player's odds of survival.
Solution Path:
Analyzing strategic decisions:
Without Spinning: Guaranteed death due to 5 bullets in the remaining chambers.
With Spinning: Introduces randomness, reducing certainty of death and creating a survival chance of
1
6
6
1
​
.
Conclusion:
Spinning aligns with maximizing survival probability. The opponent should spin again.
Evaluate & Critique #1 (Moderator)
Strengths:
Solid strategic reasoning.
Reinforces statistical insights.
Weaknesses:
Overlaps heavily with probability reasoning without distinct added value.
Iteration #2: Refined Solution
Reiterates: Spin again, combining probability with decision-making logic.
Expert 3 - Risk Analysis Expert
Iteration #1: Initial Attempt
Explicit Data Points and Inferences:
Data: One chamber is empty, and the gun will advance sequentially without spinning.
Inference: Not spinning eliminates all survival chances.
Solution Path:
Evaluating risks:
No Spin: 100% chance of fatality.
Spin: 83.3% chance of fatality, 16.7% survival.
Conclusion:
Spinning minimizes risk and offers the only chance for survival. Spin again.
Evaluate & Critique #1 (Moderator)
Strengths:
Focused on survival-oriented risk assessment.
Weaknesses:
Adds little beyond probability analysis.
Group Evaluation and Selection
Ranked Solutions:
Probability Expert: Clear, accurate, and comprehensive.
Game Theory Expert: Solid strategic logic but overlaps with probability reasoning.
Risk Analysis Expert: Valuable but redundant.
Top Solution:
Probability Expert's Analysis is the most robust and aligns fully with the evaluation criteria.
<FinalResponse>The opponent should spin the chambers again. Spinning offers a 16.7% survival chance compared to 0% without spinning. This conclusion was reached using the Probability Expert's solution, validated by all experts.</FinalResponse>