Mentions personal use of Anki.

Transcript context

…Yeah. Well, this is another thing about knowledge that this Cesar Hidalgo guy said. So he said that knowledge is non fungible, which means it can't be exchanged. So what he means by that is the process of learning is in some important sense not reducible. So you have to have the experience. And the experience has to have friction. And when we build models of the world, we actually learn like there's this phrase, reality pushes back. So we make lots of mistakes, and we update our models, and we're just placing these coherence constraints in our model. And that's how we come to learn. So you use called code, and there's so little friction in the process. That's exactly what this study from Anthropics said. It said there was so little friction, they didn't learn anything. Right. Yeah. No. Exactly. Desirable difficulty is the concept that kinda comes up in education. But even going back to the work of Ebbinghaus, who was the original repetitive space learning guy in the nineteenth century, And then Piotr Wozniak more recently, we find the same like, we we we know that memories don't get formed unless it is hard work to form them. So, you know, that's where you kind of get this somewhat surprising result that says revising too often is a bad idea, because it comes to mind too quickly. And so with repetitive spaced learning, with stuff like Anki and SuperMemo, the algorithm tries to schedule the flashcards at a just before the moment you're about to forget. So then it's hard work. So I I studied Chinese for 10 years in order to try to learn about learning myself. And I really noticed this that I used Anki, and because it was always scheduling my cards just before I was about to forget them, it was always incredibly hard work. Yeah.…

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