mahlerbox

Curious to hear the answer to this as well. Presumably it would be stronger on sentences with a high proportion of cognates/English terms with Latin roots? Does the English output over-represent words of Latin origin?

(Disclosure: I work at Antfly, joined recently)

Before joining the team I started developing a comprehensible input curation engine for my own language learning purposes built on Antfly. I'm indexing Anki study decks to track my approximate passive vocabulary in Spanish, indexing public domain reading material for content, and using hybrid search/RRF to surface content that best fits my current level at any given moment. I'm also playing around with using Antfly inference to generate limited rewrites of difficult passages, in order to bring the comprehension into a range that fits my level.

It's a fun use case that seemed to sit nicely at an intersection of what antfly does well. I also think the concept generalizes nicely to broader user-adapted learning/study use cases that don't involve shipping a boat load of behavioral data to a cloud/model provider.

So far have just implemented this for reading material but could imagine extending to some cool areas! (video + audio being obvious next targets)