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error-prediction.summary
Core Concept
Error detection is a trainable skill ke saath specific categories, not just vague skepticism. Error Taxonomy (8 categories covering factual errors, logical gaps, false confidence, missing context, correlation-causation confusion, outdated information, fabricated citations, aur cultural blind spots) gives you a precise vocabulary identify karne ke liyeing jahan aur kaise AI reasoning breaks.
Key Mental Models
- Predict-then-detect: AI output dekhne se pehle errors predict karna AI limitations ka anticipatory model build karta hai; time ke saath aap ki predictions zyada accurate aur detection zyada fast hoti jati hai
- taxonomy Over Intuition: Replacing "something feels off" ke saath 8 specific error categories transforms error detection se guesswork into systematic analysis
- Error Type Awareness: Different error categories require different detection strategies; factual errors need verification, logical gaps need reasoning analysis, cultural blind spots need diverse perspective
Critical Patterns
- ek likhein sealed prediction document prompt karne se pehle AI: expected strengths, expected weaknesses, expected error types
- Error Taxonomy categories use karte hue AI responses mein 10 key claims annotate karein
- banayein a comparison table: predicted errors vs. actual errors jo mile
- Patterns identify karne ke liye dono AI tools ke across har error type count karein
Common Mistakes
- Treating error detection as finding "wrong facts" only; logical gaps, false confidence, aur missing context are equally important error types
- Over-flagging items as errors kyun ke you disagree conclusion se; disagreement is not same as an error; taxonomy requires categorization
- Accepting vague skepticism ("AI can be wrong") as a substitute ke liye systematic, categorized analysis
Connections
- Builds on: Prediction Lock format aur Question Formulation se Chapter 1; Aap apply karte hain same predict karein-se pehle-prompting discipline ke liye error detection
- Leads To: Contradiction Test (exercise 2), jahan aap two AI tools ke darmiyan divergence identify karte hain aur zyada rigorous third analysis banate hain