[tedtimbrell]

Thanks for the read!

To be fair to word2vec (rather, word embeddings) I think both require a fair amount of sentence context.

On a semi-related note, one of the reasons I avoided tackling smells yet is because so much written about smell is in the form of perfume/cologne marketing speak. Asking gpt-4o for smells lists that "the smell of jasmine and tuberose [...] evokes the mystery and elegance of a moonlit garden". I'd hope modern models would understand that this is nonsense but I can imagine a word2vec model would end up with bizarre associations.