Noam Brown

speaker
1,199 appearances 1 recordings 1 series first heard Dec 2022 last heard Dec 2022

Noam Brown’s voice in public audio — every appearance, attributed to the second.

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And it's all being done in natural language.
Now, you could approach it, and we actually consider doing this, like having a simplified language to make this complexity smaller.
But ultimately, we thought the most impactful way of doing this research would be to address the natural language component head on and just try to go for the full game up front.
So there's like... Yeah, that's just kind of like the generic greetings at the beginning of the game.
I think that the meat comes a little bit later when you're starting to talk about like specific strategy and stuff.
Yeah.
Or like if you look at the next line, so the person saying like, I've heard bits about a Lepanto and an octopus opening and basically telling Austria like, hey, just a heads up, you know, I've heard these whispers about like what might be going on behind your back.
Right.
I mean, there's the, there's the complexity and understanding when somebody is saying this to me, what does that mean?
And then there's also the complexity of like, should I be telling this person this?
Like I've overheard these, these whispers.
Should I be telling this person that like, Hey, you might be getting attacked by, by this other power.
Yeah, and I mean, there's the natural language aspect.
And then even besides the natural language aspect, you also have the cooperative elements of the game.
And I think this is actually something that I find really interesting.
If you look at all the previous game AI breakthroughs, they've all happened in these purely adversarial games where you don't actually need to understand how humans play the game.
It's all just AI versus AI, right?
Like you look at...
checkers, chess, Go, poker, Starcraft, Dota 2.
In some of those cases, they leveraged human data, but they never needed to.
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