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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Appearances
We might have our differences, but we're at least all human.
you know, there's a lot of people trying to figure that out right now.
Um, and you know, I should say like the amount of progress that's been made, especially in the past few years is truly phenomenal.
I mean, you look at where AI was 10 years ago and the idea that you can have AIs that can generate language and generate images the way they're doing today and able to play a game like diplomacy was just like unthinkable.
Um, even, even five years ago, let alone 10 years ago.
Um,
Now, there are aspects of AI that I think are still lacking.
I think there's general agreements that one of the major issues with AI today is that it's very data inefficient.
It requires a huge number of samples of training examples to be able to train.
You know, you look at an AI that plays Go and it needs millions of games of Go to learn how to play the game well.
Whereas a human can pick it up and like, you know, I don't know, how many games does a human Go play or Go Grandmaster play in their lifetime?
Probably, you know...
in the thousands or tens of thousands, I guess.
So that's one issue, overcoming this challenge of data efficiency.
And this is particularly important if we want to deploy AI systems in real world settings where they're interacting with humans, because for example, with robotics, it's really hard to generate a huge number of samples.
It's a different story when you're working in these totally virtual games where you can play a million games and it's no big deal.
That's not a crazy idea.
What's the worst that could happen?
Yeah.
I mean, that's one way to overcome the data efficiency problem.
Showing 1141–1160 of 1,199 · page 58 of 60
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