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  1. AI safety is harder than most things
  2. Bury effortful cards to speed up review
  3. Comparison of sexually transmitted diseases
  4. Credit card research 2021
  5. Deconfusion
  6. Depictions of learning in The Blue Lagoon are awful
  7. Design philosophies of Vim vs Emacs
  8. Different types of file opening tasks
  9. Discovery fiction
  10. Doomer argument against AI safety
  11. Fake motivation
  12. Feynman technique fails when existing explanations are bad
  13. How meta should AI safety be?
  14. How similar are human brains to chimpanzee brains?
  15. Intelligence amplification
  16. Interacting with copies of myself
  17. Jessica Taylor
  18. Kanzi
  19. Late singularity
  20. List of breakthroughs plausibly needed for AGI
  21. List of interesting search engines
  22. List of men by number of sons, daughters, and wives
  23. List of teams at OpenAI
  24. Managing micro-movements in learning
  25. Meta-execution
  26. Minimal AGI
  27. Newcomers in AI safety are silent about their struggles
  28. Number of relevant actors around the time of creation of AGI
  29. Page template
  30. People are bad
  31. Plugins as search
  32. Politicization of AI
  33. Robin Hanson
  34. Second species argument
  35. Selection effect for who builds AGI
  36. Setting up Windows
  37. Short-term preferences-on-reflection
  38. Switching costs of various kinds of software
  39. Tao Analysis Flashcards
  40. Tao Analysis I exercise count
  41. Tao Analysis Solutions
  42. Task-dependent diversity
  43. Test
  44. The Precipice notes
  45. The mathematics community has no clear standards for what a mathematician should know
  46. Tricky examples in basic probability
  47. Website to aggregate solutions to textbook exercises
  48. Whole brain emulation
  49. You don't need to eat your own dogfood in explanation science

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