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Showing below up to 50 results in range #1 to #50.

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  1. Ignore Anki add-ons to focus on fundamentals‏‎ (3 categories)
  2. There is room for something like RAISE‏‎ (3 categories)
  3. Debates shift bystanders' beliefs‏‎ (3 categories)
  4. Distillation is not enough‏‎ (3 categories)
  5. Anki deck philosophy‏‎ (2 categories)
  6. Flag things to fix during review‏‎ (2 categories)
  7. AI safety lacks a space to ask stupid or ballsy questions‏‎ (2 categories)
  8. Duolingo does repetition at the lesson level‏‎ (2 categories)
  9. Exhaustive quizzing allows impatient learners to skip the reading‏‎ (2 categories)
  10. Online question-answering services are unreliable‏‎ (2 categories)
  11. Stream of low effort questions helps with popularity‏‎ (2 categories)
  12. Make Anki cards based on feedback you receive‏‎ (2 categories)
  13. List of critiques of iterated amplification‏‎ (2 categories)
  14. Feynman technique fails when existing explanations are bad‏‎ (2 categories)
  15. Unreliability of online question-answering services makes it emotionally taxing to write up questions‏‎ (2 categories)
  16. The mathematics community has no clear standards for what a mathematician should know‏‎ (2 categories)
  17. Iterated amplification‏‎ (2 categories)
  18. Deck options for small cards‏‎ (2 categories)
  19. Make new cards when you get stuck‏‎ (2 categories)
  20. My take on RAISE‏‎ (2 categories)
  21. Maintaining habits is hard, and spaced repetition is a habit‏‎ (2 categories)
  22. How doomed are ML safety approaches?‏‎ (2 categories)
  23. How meta should AI safety be?‏‎ (2 categories)
  24. Uninsightful articles can seem insightful due to unintentional spaced repetition‏‎ (2 categories)
  25. My understanding of how IDA works‏‎ (2 categories)
  26. Will there be significant changes to the world prior to some critical AI capability threshold being reached?‏‎ (2 categories)
  27. Are due counts harmful?‏‎ (2 categories)
  28. Use paper during spaced repetition reviews‏‎ (2 categories)
  29. Reference class forecasting on human achievements argument for AI timelines‏‎ (2 categories)
  30. AI safety is harder than most things‏‎ (2 categories)
  31. Open-ended questions are common in real life‏‎ (2 categories)
  32. Video games allow immediate exploration‏‎ (2 categories)
  33. Tinkering in math requires loading the situation into working memory‏‎ (2 categories)
  34. Use temporary separate Anki decks to learn new cards based on priority‏‎ (2 categories)
  35. Fractional progress argument for AI timelines‏‎ (2 categories)
  36. Nobody understands what makes people snap into AI safety‏‎ (2 categories)
  37. Self-graded prompts made for others must provide guidance for grading‏‎ (2 categories)
  38. Scenius‏‎ (2 categories)
  39. Optimal unlocking mechanism for booster cards is unclear‏‎ (2 categories)
  40. Different mental representations of mathematical objects is a blocker for an exploratory medium of math‏‎ (2 categories)
  41. Continually make new cards‏‎ (2 categories)
  42. Laplace's rule of succession argument for AI timelines‏‎ (2 categories)
  43. Giving advice in response to generic questions is difficult but important‏‎ (2 categories)
  44. Spaced proof review is not about memorizing proofs‏‎ (2 categories)
  45. Is AI safety no longer a scenius?‏‎ (2 categories)
  46. Cards created by oneself can be scheduled more aggressively‏‎ (2 categories)
  47. Anki reviews are more fun on mobile‏‎ (2 categories)
  48. Tips for reviving a spaced repetition practice‏‎ (2 categories)
  49. HCH‏‎ (2 categories)
  50. Newcomers in AI safety are silent about their struggles‏‎ (2 categories)

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