I added several hundred Anki cards while doing.
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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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Later, the facts got more and more complex.
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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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Replying to @michael_nielsen
have you tried https://www.literatureandlatte.com/scapple/overview … , and do you think anything similar would be equally useful for memorizing associations?
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No, I haven't. Interesting question.
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Replying to @michael_nielsen
the more I think about it, it feels like structure memorization seems to more useful than substrate memorization, as
@tegmark puts it.0 replies 0 retweets 0 likesThanks. Twitter will use this to make your timeline better. UndoUndo
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