Nikita Lalwani

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191 appearances 1 recordings 1 series first heard Mar 2026 last heard 10 Mar

Nikita Lalwani’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 Mar 2026 with 1.

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80,000 Hours Podcast · #238 – Sam Winter-Levy and Nikita Lalwani on how AGI won't end mutually assured destruction (probably) · 10 Mar 2026 podcast

And it does feel like it really helps my intuition understand how hard subs are to find in the water.

I also think there's something about... Yeah, I agree that it feels really difficult to truly, truly understand how massive and something like opaque oceans are.

Like...

Part of it is that, you know, we see them on the map and we see the like surface area and we don't see the depth and the like volume of it is like a big part of why this is such a difficult problem.

It's not just like the surface of a country where you have road mobile missiles.

Yeah.

Yeah, this much, much larger area.

Yeah, yeah.

So that... Yeah, that really helps there.

I think the other thing that I kind of forget is, like, the oceans... They have, like, mountains in them.

They have, like... They have, like, thing... Like, I think I kind of picture it as, like, mostly empty, except for fish.

And, like, if you wanted to find a submarine, that would look different from a fish, and you'd use these techniques, and it just, like, couldn't possibly be that hard.

But they're actually, like...

very, very complex environments that, yeah, I guess I just like on the day-to-day, that is not that salient to me.

But when I actually think about it, I'm like, ah, that is why this is such a hard problem.

What is the most compelling story that you could give for how AI would allow adversaries to track and target nuclear submarines?

So I guess just like, yep, seems like the problem is hard, but what is the version that people who are really bullish on AI think is going to explain how AI does this successfully?

Nice, nice.

It sounds compelling to me, but also my sense is that there are some reasons to think that this wouldn't actually work.

Yeah, can you go through some of those reasons?

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