Multi-Disciplinary Reading - Book Reviews

I was doing the same with ChatGPT yesterday. Did some tweaking, so some books have been removed but this is the final reading plan that I got.


Phase 1: Foundational Thinking & Core Concepts

  1. Thinking, Fast and Slow - Daniel Kahneman
  2. On the Shortness of Life - Seneca
  3. The Selfish Gene - Richard Dawkins
  4. Reminiscences of a Stock Operator - Edwin Lefèvre
  5. Algorithms to Live By - Brian Christian and Tom Griffiths

Phase 2: Philosophy, Society & Human Behaviour

  1. Tao Te Ching - Stephen Mitchell
  2. Fooled by Randomness - Nassim Nicholas Taleb
  3. Between Parent and Child - Haim Ginott
  4. Romancing the Balance Sheet - Anil Lamba
  5. Finite and Infinite Games - James P. Carse

Phase 3: Science, Technology, & Complexity

  1. Deep Simplicity - John Gribbin
  2. The Joy of x - Steven Strogatz
  3. The Master Algorithm - Pedro Domingos
  4. Thinking in Systems - Donella Meadows
  5. Deep Medicine - Eric Topol

Phase 4: Investing, Economics, & History

  1. Poor Charlie’s Almanack - Charles T. Munger
  2. More Money Than God - Sebastian Mallaby
  3. Prisoners of Geography - Tim Marshall
  4. Lords of Finance - Liaquat Ahamed
  5. Fortune’s Formula - William Poundstone

Phase 5: Advanced & Specialized Topics

  1. The Idea Factory - Jon Gertner
  2. The Order of Time - Carlo Rovelli
  3. The Book of Why - Judea Pearl
  4. Early Indians - Tony Joseph
  5. The Beginning of Infinity - David Deutsch

Phase 6: Business, Creativity, & Decision Making

  1. Confessions of an Advertising Man - David Ogilvy
  2. Loonshots - Safi Bahcall
  3. Subliminal - Leonard Mlodinow

Phase 7: Cultural Perspectives & Broader Insights

  1. Red Roulette - Desmond Shum
  2. The Lessons from History - Will Durant
  3. Physics and Philosophy - Werner Heisenberg
  4. The Silk Roads - Peter Frankopan

Phase 8: Deeper Exploration & Final Thoughts

  1. The Attention Merchants - Tim Wu
  2. Breath - James Nestor
  3. How to Create a Mind - Ray Kurzweil

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