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4 - Risks from Learned Optimization with Evan Hubinger
AXRP - the AI X-risk Research Podcast
How to Solve a Problem Before the Observation
We have to work with what we've got, right? We ought to solve the problem. And for some of these things, we might never get concrete observations. So until, you know, potenti it's too late. If a deceptive model is, is trying to be good with being deceptive, then we won't learn about the deception until the point at which we've deploit id everywhere.
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