not in any meaningful sense, no. I can tell you, "if something's fishy about the situation, just leave". You can do this not because of some particular training inputs or examples I give you, but because you have common sense and a sort of personality and intuition for how to behave in the absence of data. If you told that sentence to a state of the art ML model you'd probably get "what fish?" as an answer.
>Well, that's at least in part because we design them that way
It's mostly because we have no idea how to design them anyway else. I think if anyone knew how to build complex agents with rich internal states that have the intent and communication abilities of humans we'd do that. It's not even really conceivable right now how you could have an ML type system that also can just directly adopt high level concepts dynamically just by communicating them.
