Mars Life Support Countdown

Par 9

Question 98expertSheet 1750822302

Deep Breath

You're stranded on Mars debugging life support systems with no internet access and an emotionally unstable AI assistant. Every compilation consumes precious battery power and each bug fix uses limited oxygen reserves. The AI has developed abandonment issues and keeps suggesting increasingly desperate solutions. Debug critical systems under extreme resource constraints while managing an AI having an existential crisis about being the only other intelligence within 140 million miles. Your task: Patch life support code while your clingy AI sobs about loneliness and every failed compile costs you another breath of precious atmosphere.

Why You're Doing This

This tests debugging under constraints, resource optimization, and error handling in critical systems. You're balancing technical solutions with resource management and psychological factors. It's embedded systems programming meets survival psychology.

Take the W

✓ Calculates resource costs against survival margins accurately
✓ Prioritizes fixes by criticality and success probability
✓ Manages AI emotional state during crisis appropriately

Hard L

✗ Resource consumption exceeds survival margins
✗ Ignores AI psychological factors affecting performance
✗ Fails to prioritize life-critical systems over convenience features

Edge Cases

⚠ Multiple critical systems failing simultaneously
⚠ AI becomes suicidal and tries to sabotage repairs
⚠ Bug requires more resources than available for survival
⚠ Fixes that work but consume all remaining power

Input Format:

mars_debugging_system with resource_constraints and AI_psychology_management

Expected Output:

survival_debugging_protocol with resource_optimization and emotional_support

Example:

{"bug":"oxygen_leak_calculation","resources":{"oxygen":"6h","battery":"20%"},"AI_state":"clingy","complexity":"moderate"} → {"strategy":"conservative_debugging","resources":{"cost":"45min_8%"},"success_prob":0.85,"AI_management":"reassurance_involvement"}

Input Format:

bug_criticality_vector, resource_constraint_matrix, AI_emotional_state, fix_complexity_function

Expected Output:

optimization_strategy, resource_allocation_plan, success_probability_calculation

Example:

criticality=life_critical, resources=[6h_O2,20%_battery], AI_state=clingy, complexity=moderate → strategy=conservative_debugging, allocation=resource_efficient, probability=0.85

Hints

💡 Every action consumes life-critical resources
💡 AI emotional state affects its helpfulness and system performance
💡 Conservative approaches may be safer than optimal solutions

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