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Showing below up to 50 results in range #151 to #200.

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  1. (hist) ‎Potpourri hypothesis for math education ‎[1,192 bytes]
  2. (hist) ‎Central node trick for remembering equivalent properties ‎[1,184 bytes]
  3. (hist) ‎AI safety is harder than most things ‎[1,156 bytes]
  4. (hist) ‎Big card ‎[1,153 bytes]
  5. (hist) ‎Using spaced repetition to improve public discourse ‎[1,138 bytes]
  6. (hist) ‎Dealing with bad problems in spaced proof review ‎[1,121 bytes]
  7. (hist) ‎Different mental representations of mathematical objects is a blocker for an exploratory medium of math ‎[1,120 bytes]
  8. (hist) ‎Online question-answering services are unreliable ‎[1,112 bytes]
  9. (hist) ‎Pascal's mugging and AI safety ‎[1,103 bytes]
  10. (hist) ‎The Witness ‎[1,103 bytes]
  11. (hist) ‎One wrong number problem ‎[1,102 bytes]
  12. (hist) ‎Sudden emergence ‎[1,101 bytes]
  13. (hist) ‎The Sequences vs evergreen notes ‎[1,097 bytes]
  14. (hist) ‎List of critiques of iterated amplification ‎[1,097 bytes]
  15. (hist) ‎Discontinuities in usefulness of whole brain emulation technology ‎[1,092 bytes]
  16. (hist) ‎Spaced repetition is useful because most knowledge is sparsely applicable ‎[1,091 bytes]
  17. (hist) ‎Science argument ‎[1,087 bytes]
  18. (hist) ‎Explosive aftermath ‎[1,081 bytes]
  19. (hist) ‎Spaced inbox review should not be completionist or obligatory ‎[1,078 bytes]
  20. (hist) ‎Tao Analysis I exercise count ‎[1,062 bytes]
  21. (hist) ‎What counts as good motivation? ‎[1,057 bytes]
  22. (hist) ‎Flag things to fix during review ‎[1,057 bytes]
  23. (hist) ‎Giving advice in response to generic questions is difficult but important ‎[1,026 bytes]
  24. (hist) ‎Deck options for small cards ‎[1,020 bytes]
  25. (hist) ‎Christiano's operationalization of slow takeoff ‎[1,018 bytes]
  26. (hist) ‎Explanation science ‎[1,009 bytes]
  27. (hist) ‎Spaced repetition prevents unrecalled unrecallables ‎[970 bytes]
  28. (hist) ‎Emotional difficulties of AI safety research ‎[950 bytes]
  29. (hist) ‎Duolingo does repetition at the lesson level ‎[938 bytes]
  30. (hist) ‎You don't need to eat your own dogfood in explanation science ‎[936 bytes]
  31. (hist) ‎Fractional progress argument for AI timelines ‎[933 bytes]
  32. (hist) ‎My current thoughts on the technical AI safety pipeline (outside academia) ‎[931 bytes]
  33. (hist) ‎Open-ended questions are common in real life ‎[916 bytes]
  34. (hist) ‎Mass shift to technical AI safety research is suspicious ‎[910 bytes]
  35. (hist) ‎Braid for math ‎[908 bytes]
  36. (hist) ‎Spaced repetition as soft alarm clock ‎[898 bytes]
  37. (hist) ‎AI safety is not a community ‎[894 bytes]
  38. (hist) ‎Short-term preferences-on-reflection ‎[890 bytes]
  39. (hist) ‎Spaced proof review as a way to invent novel proofs ‎[890 bytes]
  40. (hist) ‎Scaling hypothesis ‎[886 bytes]
  41. (hist) ‎We still don't know how to systematically write great word explanations ‎[875 bytes]
  42. (hist) ‎How meta should AI safety be? ‎[873 bytes]
  43. (hist) ‎List of timelines for futuristic technologies ‎[871 bytes]
  44. (hist) ‎Spaced repetition as generator of questions ‎[868 bytes]
  45. (hist) ‎Resource overhang ‎[867 bytes]
  46. (hist) ‎Mixed messaging regarding independent thinking ‎[866 bytes]
  47. (hist) ‎Anki reviews are more fun on mobile ‎[857 bytes]
  48. (hist) ‎Comparison of sexually transmitted diseases ‎[851 bytes]
  49. (hist) ‎Discursive texts are difficult to ankify ‎[851 bytes]
  50. (hist) ‎Aligning smart AI using slightly less smart AI ‎[846 bytes]

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