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EP #39 Should We Be Fearful of Artificial Intelligence? The AI Panel w/ Emad Mostaque, Alexandr Wang, and Andrew Ng
Moonshots with Peter Diamandis
The Importance of Interpretability in Large Language Models
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Right now you can ask the models to explain why it said what it did. It's not clear if those answers are actually correlated at all with the actual reason why they aren't, probably correlated with why they actually said that. And so, there's sort of, you know, humans have this bug which is that we will do things and then if somebody asks us to explain why we did the thing, we'll come up with some post-hoc rationalization.
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