 Some of my recent experiments have combined almost every major theme of this blog:
gpt-5.6-sol low
, in this case) to be more than good enough at handwriting recognition and grading ambiguous answers. (A very short conversation has always been enough to resolve ambiguities and clear up obvious mistakes.)Here as elsewhere, I don't know what the future of mass-market software will look like. There are good reasons to think it won't involve chatbots (the way they look in July 2026) or command-line LLM invocations. For now, however, I'm having a lot of luck with the general approach of (i) constructing data models and APIs with LLM consumption in mind, (ii) using them via LLM, and (iii) taking a creative, experimental approach to them as a user.
By the way, in case you're curious what my flashcards-as-worksheets look like, here is one of many sheets of paper I now have lying around:4
More and more, however, the review phase effectively happens in conversation between the LLM and me, and I can quickly approve the whole batch.↩
My interviews suggest that many spaced repetition users want to do this and either don't have a way to do it or resort to hacks.↩
If this sounds interesting to you, whether for poker or anything else, please don't hesitate to write to me.↩ By the way, there are two wrong answers here: the Albanian currency is the lek (I got it mixed up with Algeria), and "Reach Out I'll Be There" is by The Four Tops, not The Foundations.↩