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Hi, all. Author of the project here. Sorry to have caused some confusion: this is part of a research project, and it's not yet meant to be terribly legible to a public audience.

In the near-term, this project is about augmenting written texts so that readers can easily remember the key details. See https://quantum.country for an example or https://numinous.productions/ttft for detailed background and discussion.

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Hi Andy, thank you for doing this. I've been checking your Twitter feed daily to see when this is released. I love the direction of your research and am really excited to see how Orbit develops.

I've been experimenting with integrating Orbit (before this release) into some Intro to Data Science Jupyter notebooks I use to teach a class (code, text, Orbit questions). I'm hoping to publish the course on the web later this year, and, if I can get a good integration, experimenting to see if adding SRS elements helps student performance.

I haven't looked at the code base yet, but I'm curious to see if I can integrate the questions with our code execution environment, and have spaced review of executable code inline in the question/answer prompt card.

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