~/talk

Play Magnus

Talkat DLDnyc 15 · 2015-05-06..05-07· [machine-learning, game-development]
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slides:none on file

Describes how computers change preparation and creativity, using the Play Magnus app that models play at different ages and letting amateurs climb levels; claims endgames with seven pieces or less are fully solved and cites a computer line that forces a win in 275 moves, beyond human practical play; explains using engines to escape opening theory, testing a modeled “age 12” version against actual games, and balancing physical training after a World Blitz episode of sleeplessness and illness.

AI-written summary · about

  1. 0:00Intro
  2. 1:53How do you feel when you make the wrong move
  3. 2:29The middle game
  4. 5:01Chess as a physical activity
  5. 7:06How to eliminate mistakes
  6. 7:40Sports fan
  7. 8:26Style evolution
  8. 10:11Favorite games
  9. 11:55Computers in the game
  10. 13:11Creativity
  11. 13:38Why Play Magnus
  12. 15:44Fame
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