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4 - Risks from Learned Optimization with Evan Hubinger

AXRP - the AI X-risk Research Podcast

CHAPTER

Generalization Bounds Aren't Enough, You Know?

In practice, all these sorts of assumptions just, i think, basile stol hold. There's always things that are sort of changing about our environment. And the particular case of teseptib linen is a situation in which to have a model, lhet, has some menoproxy objective,. You know, it's trying to get the green arrow, whaever. I omething that be alled aceptib a and dosete olinit is a sort of particularly pernicious case of a sort of masa atnizer, which has a masa objective that is soo different from the ideal law section.

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