Conversation

Reading "Augmenting Long-Term Memory" in 2018 completely changed how I learn. (Someone introduced me to Anki years before that, but until "Augmenting LTM" I thought it was just for trivia.) It also significantly increased my motivation to learn!
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Over 2 years I added 1500+ cards, huge variety. Arbitrary examples: Q: How to calculate variance in one pass? A: E[X^2] - E[X]^2 Q: What's Michael Pollan's food "mantra"? A: Eat food. Not too much. Mostly plants. Chinese: {{c1::与}} is the literary version of {{c2::和}}
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1. Retained knowledge was too brittle e.g. I created 7 cards to remember "AVL tree" behavior; I knew those cards reflexively But when friend asked me to explain AVL trees I couldn't do it (nor would I have been able to implement one)
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I’d be really interested to see the cards you put together for AVL trees, if you’d be open to sharing. the cards I put together are atomic but do require heavy pretty lifting on the question writing side as a kind of setup to the specific question I’m looking to answer.
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I restored from backup; in retrospect I'm embarrassed how incomplete they were! I retract the above point (brittle knowledge); I blamed the tool but I wasn't using it well in this case. If I revisit AVL trees with Anki, I'd make a lot of graphical cards like this:
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interesting! I started out making cards the way you made them. And for specific contexts, they're quite useful! But like you, I didn't find it to be "sticky" enough for me. So I started trying to add some extra context to my questions. Here's a couple of old quantum anki cards
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It seems like the best thing would be cards that auto-generate a problem on a template, instead of having specific questions. Is there a way to do that with Anki? (Short of just having cards that are pointers to khan academy, Varsity Tutors, etc.)
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