[throwaway675309]

I've seen a number of projects around using GPT to generate curriculum and also flashcards in the past three months, I think this is one of the most popular ones: https://autolearnify.com

It's a very good idea in theory but takes almost as much work to verify that the flashcards and curriculum that it generates is accurate and not a hallucinogenic nightmare.

The biggest danger is that the target audience are not experts in the desired subject domain, so they have no way of sanity checking the generated curriculum.

[trane_project]

When I played with it, I made it output a JSON file so that it would be easier to handle the output. And I specifically gave it the text to use. It did a pretty good job, but I ran into output size limits.

I agree that using the training data would probably generate more garbage. But it's the semantic analysis part that I think it's useful. In general, I think VCs and OpenAI are overhyping it by calling it "intelligent" and obscuring the very good use cases of the technology. AFAIK, no one involved has explained how a statistical model running on a Turing machine magically develops agency and awareness, which are requirements for actual intelligence (under my definition, at least).

[james-revisoai]

Curious as to where you came to this impression?

I'd say the most popular applications are Knowt in the US for now, and Saveall.ai + Revision.ai (my company) in the UK, all been around with BERT/T5 etc long before this GPT trend.

The flashcard accuracy varies wildly amongst current solutions, that's for sure.