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4min chapter
David Krueger–Coordination, Alignment, Academia
The Inside View
The Importance of Causality in Machine Learning
I think there's a lot of hype and over-enthusiasm for things that won't really work in practice. I've been mixing together understanding causality and being an agent, but those are, like, totally separate things in principles. You can have a good causal model of the world, and still just be doing prediction - you don't have to be an agent. And this is potentially a good way to test for power-seeking and instrumental goals because you know what your future will look like.
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