In brief
KAIKAKU.AI published Epicure, a family of three ingredient AI models trained on 4.14 million multilingual recipes.
The model doesn't store recipes—it stores what was learned from them, letting users navigate cooking knowledge mathematically.
Three variants—Cooc, Chem, and Core—sit at different points on a recipe-context vs. flavor-chemistry spectrum, each answering a slightly different culinary question from the same 2MB file.
Josef Chen says he compressed all of human cooking into two megabytes. That's a bold claim. It also checks out.Chen, co-founder and CEO of London food AI startup KAIKAKU.AI, published a paper on arXiv this week, alongside researcher Jakub Radzikowski, presenting Epicure—three AI models trained on 4.14 million recipes pulled from 11 datasets across seven languages. The result: a map of 1,790 ingredients, each described by 300 numbers, that fits in your email attachment limit with room to spare."4.1M recipes. 7 languages. 1,790 ingredients. 300 dimensions," Chen wrote on X. "All of human cooking compressed into 2 megabytes."
