Earlier quoted context omitted.
"When you get attacked in the forest by a guy in a clown costume with an axe you don't need to add that as a training input first before you make a run for it." Sure, because it's already a training input. We'd run because we recognize the axe, the signs of aggression, the horror movie trope of an evil clown, and so forth. We have to teach "stranger danger" to children. "There's no agency, liveliness, autonomy or lea…
>Sure, because it's already a training input 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 prob…
Only if I had a baseline to compare the situation to. If you took out all familiar elements, I'd have no way of telling whether a situation was normal or suspicious. My understanding of the word "fishy" is born from 300 thousand hours of training data.
"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."
That's a different question. We can build machines that learn autonomously; they just don't have the capability of biological minds.