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 over the last 12 months — 1 in all, peaking in Jun 2026 with 1.

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80,000 Hours Podcast · #245 – Rohin Shah on what it's really like to run AGI safety at Google DeepMind (and where I disagree with 'doomers') · 2 Jun 2026 podcast

I don't really have concrete examples in mind.

Mostly, I would say that going back to the points we made earlier in the podcast, it's important that somebody is watching the AI companies and holding us accountable.

Governments are sort of the natural place to do that.

And if the world is in fact radically changing, people talk about a century's worth of progress in a decade, then it would be like, you should expect that a bunch of problems are going to come up that we aren't going to anticipate today.

I think we need to be able to flexibly react to that.

I don't have particular problems in mind that I think are going to require government intervention, but it would be so shocking if there weren't any.

We haven't really thought about this problem very much.

I'm hoping that if we do think about this problem a decent amount, we will have something better to do than just that.

But I have not been the one to do that, and I don't know if anyone else has either.

So really, I'm more saying, here's a problem.

I don't really know what to do about it, but it sure would be good if we did something about it.

I guess I would say that what's the bottleneck to actually pausing AI progress globally?

I think by far the biggest bottleneck to this is people don't agree that AI is going to take over the world.

And the thing that most alleviates that bottleneck is good scientific evidence that suggests it would happen or that it wouldn't.

To be clear, my belief is that probably this will not happen.

I think it's plausible enough that we should...

care about it.

And I think the structure of that looks like, you know, figure out whether each next step of scaling is safe.

I think right now the answer is yes.

At some point, the answer might be no.

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