Bibliography (35):

1. Joseph Henrich: Humans Defeated Smarter Species With Cultural Evolution; How the Catholic Church Accidentally Caused the Industrial Revolution

2. https://openai.com/blog/chatgpt/

3. ​ interview-inkhaven#interview-prompt

   [Transclude the forward-link's context]

4. ​ What Is The Morning Writing Effect?

5. Divination—‘Adaptive’ from Whose Perspective?

6. Introducing GPT-4.5: A Research Preview of Our Strongest GPT Model. Available to Pro Users & Developers Worldwide

7. ​ Elegy in a Craneyard

8. https://www.amazon.com/Secret-Our-Success-Evolution-Domesticating/dp/0691166854

9. Introducing ChatGPT Pro: Broadening Usage of Frontier AI

10. ​ Internet Community Design: Slow To Fast

11. Introducing GPT-5.5: A New Class of Intelligence for Real Work § Pro

12. Wikipedia Bibliography:

    1. Dwarkesh Patel

       https://en.wikipedia.org/wiki/Dwarkesh_Patel

    2. Joseph Henrich

       https://en.wikipedia.org/wiki/Joseph_Henrich

    3. Playboy

       https://en.wikipedia.org/wiki/Playboy

    4. The Paris Review

    5. The New Yorker

    6. Priming (psychology)

    7. Large language model

    8. Tyler Cowen

    9. replication crisis

    10. Runs of homozygosity

    11. Great Divergence

    12. WEIRD

        https://en.wikipedia.org/wiki/WEIRD

    13. Cultural evolution

    14. Catholic Church

        https://en.wikipedia.org/wiki/Catholic_Church

    15. Cousin marriage § Catholic Church and Europe

        https://en.wikipedia.org/wiki/Cousin_marriage#Catholic_Church_and_Europe

    16. Robert Boyd

        https://en.wikipedia.org/wiki/Robert_Boyd

    17. Peter Richerson

        https://en.wikipedia.org/wiki/Peter_Richerson

    18. Steven Pinker

    19. Jonathan Haidt

    20. Daron Acemoglu

        https://en.wikipedia.org/wiki/Daron_Acemoglu

    21. Sheilagh Ogilvie

        https://en.wikipedia.org/wiki/Sheilagh_Ogilvie

    22. The WEIRDest People in the World

        https://en.wikipedia.org/wiki/The_WEIRDest_People_in_the_World

    23. Reinforcement learning

    24. Multi-Level Selection

        https://en.wikipedia.org/wiki/Multi-Level_Selection