Rohin Shah
speaker
1,071 appearances
1 recordings
1 series
first heard Jun 2026
last heard 2 Jun
Rohin Shah’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.
Appearances
like one example I like to give about this is a much more esoteric decision theory type, well, anthropics type of issue where, you know,
EAs or long-termists like to talk about essentially how considerations about the multiverse should affect what we do today and think about AnthropX using things like SSA and SIA assumptions and how they affect what actions we should take.
You don't have to understand what that means in order to track with the point you're about to make.
Yeah, yeah, yeah.
The key upshot of these things is that the beliefs and decisions that you come to actually depend on who you are.
This is one of the crazy things about anthropics.
Normally, different people should agree on beliefs given enough evidence, or at least perfect Bayesians should agree given the same evidence, they should have the same beliefs.
This stops being true in the case of anthropics.
And indeed, an AI will probably have different beliefs than a human would, even if it's perfectly aligned.
Just like the structure of how Bayesian updates happen in a world with anthropics is different for AI systems than for humans.
And so this should affect that.
whether we are willing to delegate research on these kinds of topics to AI systems or not, even if they're perfectly aligned.
That's a kind of wild, crazy problem that definitely is not a problem today, but really might come up at some point before superintelligence comes.
And I don't want to have to say like, oh, yes, I have identified all problems like this and have an approach to solving all of them today.
Obviously, we should just take these as they come up.
Yes, though, I think we're longer term thinking than that made it sound like.
Like I said, often I'm thinking, you know, five years into the future.
That's many, many, many models, right?
Like, you know, I say chain of thought monitoring, my median, I think I said four years that that lasts.
We're already thinking about what to do after the point that chain of thought monitoring stops being useful.
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