3min chapter

AXRP - the AI X-risk Research Podcast cover image

4 - Risks from Learned Optimization with Evan Hubinger

AXRP - the AI X-risk Research Podcast

CHAPTER

Do You Want to Train a System for a Diverse Set of Tasks?

There's this argument in the paper, which basicly says that if you're training a system for a diverse set of tasks, you want to expend most of your optimization on line. So i'm wondering, like, does this argument kind of reinforce or er, like, am, is this an argument for the idea of doing something like kais instead of creating this like, single unified a g i? Yes, i think it s ae i more complicated when you're thinking about how these, how things play out, like, onstrategi landscape. I think anything that sort of does the sorvirman a just made sor of to parallel the survivo we make in the

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