I don't know. If we have something like imagen or dalle, I can imagine something that can produce "tasty" food from random ingredients isn't far off.
Then we will still need humans in the loop to do the cherry picking/supervised learning. Gibberish recipes need to be flagged and interesting new creations need to be promoted. The input can be fed back into the model till the model contains accurate representations of the chemical reactions of cooking ingredients and the neuronal wiring of the human olfactory system.
I guess the concern would be: If one of these recipe websites _was_ generated by an AI, the ingredients _look_ correct to an AI but are otherwise wrong - then what do you do? Baking soda swapped with baking powder. Tablespoons instead of teaspoons. Add 2tbsp of flower to the caramel macchiato. Whoops! Meant sugar.
[0] http://slimsag.com/best-apache-chef-recipe/1438731.htm