> archaic favors, missing recent terms, confusing opposing meanings, Humans make errors like these all the time (e.g., I don't know what you mean by 'favor' he

> archaic favors, missing recent terms, confusing opposing meanings, Humans make errors like these all the time (e.g., I don't know what you mean by 'favor' here, and I'm sure many people wouldn't have the type "ELMO"), and the dictionary definition of the word shifts accordingly, except we can't really call them 'errors' when it's a natural phenomenon that we're trying to match. Humans make seemingly random errors sometimes too, confusing one word for a mother, I mean another. When we do it we infer (perhaps correctly) deep psychological causes. Current machines don't have personal identities and desires and goals like we do, but embodied agents with a natural selection process could have those things, there isn't an obvious technological barrier. And if you build in a language model that shares some of the general computation machinery we could reasonably expect it to make those kinds of errors.