But what finally made Anki "take" was frustration that I'd never really learned the Unix command line.
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Learning places and all kinds of facts about my city, from the best things to order at a particular restaurant to demographic statistics (really) to favourite places in parts of the city I don't visit often.
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Reading papers and books and watching videos. This is especially helpful for building mastery outside your area of expertise. You can (say) read a paper multiple times through, each time just grabbing what is easy, gradually building up an understanding.
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For instance, this is how I read the AlphaGo paper (for my article https://www.quantamagazine.org/is-alphago-really-such-a-big-deal-20160329/ … ).
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I read and reread the paper several times, as well as consulting a lot of adjacent papers, Wikipedia etc.
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The early cards were mostly very simple things: facts about TDGammon (which used a similar approach to beat Backgammon), very basic facts about how Go works, and reinforcement learning and Monte Carlo Tree search.
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Of course, I didn't master all the literature around the paper. But I think I made pretty rapid progress coming up to speed.
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Now, just to write one article that wouldn't necessarily have been a good use of time. But a nice thing about Anki is that the information is retained. When the AlphaGo Zero and AlphaZero papers came out, they were very easy to read.
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Verb form: I talk and think of "Ankifying" a paper or book etc.
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It's easy to overdo it, especially initially, and waste time Ankifying useless info. Over time, I've found myself cultivating heuristics for how much to Ankify.
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E.g., for many papers the answer is 0 to 5 questions. But for papers I want to understand better it might be 20 to 40. And for deep papers that I want to master it may be hundreds.
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Lots more to say, but I'll leave it there for now.
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End of conversation
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