Skip to main content

assumption-autopsy.summary

Core Concept​

Har solution un assumptions par built hota hai jinhein aap banate waqt pehchan nahin rahe hote. Assumption autopsy aap ki apni list ko AI-identified assumptions ke saath compare karke in hidden assumptions ko systematically uncover karti hai, aur ek consistent pattern reveal karti hai: humans contextual assumptions (cultural, personal) catch karte hain jab ke AI structural assumptions (logical, systemic) catch karti hai.

Key Mental Models​

  • Four-Category Assumption Map: (a) sirf aap ne find kiya, (b) sirf AI ne find kiya, (c) dono ne find kiya, (d) na aap ne na AI ne, lekin merge ke dauran identify hua; category (d) sab se valuable hai kyun ke yeh sirf genuine synthesis se emerge hoti hai
  • Complementary Blind Spots: humans aur AI ke assumption detection patterns structurally different hote hain; dono ko combine karne se kisi ek ko akela use karne ke muqable zyada assumptions catch hoti hain
  • Listing vs. Evaluating: assumption identify karna pehla step hai; uska risk level assess karna (agar yeh ghalat ho to kya break hota hai?) actual analysis hai

Critical Patterns​

  • Pehle kisi bhi AI tool ko use karne se pehle har hidden assumption khud find karne ki koshish karein
  • Apna solution Claude aur ChatGPT dono ko dein, aur har ek se poochein: "Main kaun si assumptions bana raha hun jo maine state nahin ki?"
  • Har assumption ko chaar categories (a se d) mein categorize karein
  • Har assumption ke liye assess karein: reasonable, risky, ya needs to be tested

Common Mistakes​

  • Yeh samajhna ke assumptions list karna hi unka analysis hai; value risk assessment mein hai (agar yeh ghalat ho to kya hota hai?)
  • AI ne jo assumptions find ki aur aap miss kar gaye, un par embarrassed feel karna; yeh complementary intelligence hai, personal failure nahin
  • Yeh assume karna ke tamam hidden assumptions equally dangerous hain; kuch low-risk hoti hain, aur kuch poore solution ko invalidate kar sakti hain

Connections​

  • Builds On: Chapter 2 ki Error Taxonomy, Chapter 3 ka Cascade Map (assumptions causal chains ke invisible inputs hain)
  • Leads To: Rebuild Under New Constraints (Exercise 4), aur Assumption Autopsy technique Chapters 8 aur 9 mein referenced hai