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Very interesting, how do you validate the correctness of the generated visuals? And that a previous lesson, say 5 videos ago ensures that the concept being explained now had its prerequisite covered?

I assume you could do a topological sorting of the content to ensure prerequisites are covered, but I'm curious on how automated this could be.

Looks super cool either way!

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Thank you!

We actually made the course ourselves, following James Stewart's Calculus and our own approach to teaching these topics (we're two PhD students). We wrote everything in English first, then translated it into other languages.

AI accelerated our workflow, we prompted the visuals and explanations we wanted, then polished the results ourselves. So we're confident in the teaching quality and correctness of these videos, they're not pure AI artifacts :)

That’s a great workflow, any plans for covering more advanced math topics in the near future?

We want to nail the fundamentals first: Single-variable Calculus, Linear Algebra, Differential Equations, Physics, Machine Learning etc. These are the courses with the largest audiences, and we need that reach to sustain this project. But if you think focusing on advanced topics instead would make more sense, I'd love to hear your perspective!

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