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Kenneth Stanley

Published podcast speaker

Claims
14
Episodes
2
Shows
1
Named items
0

Claim ledger

What Kenneth said.

8 transcript-backed records

01 / belief

I think 1 of the really interesting things about the observation in this paper is it pokes a hole, I think, in a very deep assumption that we have that if the results are good, then what's underneath the hood is also good.

“I think 1 of the really interesting things about the observation in this paper is it pokes a hole, I think, in a very deep assumption that we have that if the results are good, then what's underneath the hood is also good.”
Speaker
Kenneth Stanley
Publisher
Machine Learning Street Talk

02 / belief

Like like, I think, you know, it's interesting, like, in the field of AI that if you go back 10 years or so, like, most of the interactions of AIs with dynamic training environments would be in simulations.

“Like like, I think, you know, it's interesting, like, in the field of AI that if you go back 10 years or so, like, most of the interactions of AIs with dynamic training environments would be in simulations.”
Speaker
Kenneth Stanley
Publisher
Machine Learning Street Talk

04 / belief

Like, you know, we we think about, you know, when you say, like, eventually, if you experience enough of the world, like you say, of course, you might expect that your representation start to mirror just the way that the world is.

“Like, you know, we we think about, you know, when you say, like, eventually, if you experience enough of the world, like you say, of course, you might expect that your representation start to mirror just the way that the world is.”
Speaker
Kenneth Stanley
Publisher
Machine Learning Street Talk

05 / belief

I mean, 1 of the really important points I wanna add to this, this may also apply to humans. So I don't want to seem like I'm saying that all humans have unbelievably beautiful, unfractured We also, I think, victims of going through things in a bad order sometimes.

“I mean, 1 of the really important points I wanna add to this, this may also apply to humans. So I don't want to seem like I'm saying that all humans have unbelievably beautiful, unfractured We also, I think, victims of going through things in a bad order sometimes.”
Speaker
Kenneth Stanley
Publisher
Machine Learning Street Talk

06 / belief

You could say, this is good enough, I'm happy. But I think in terms of what we can't do because of that, that we might someday in the future be able to do, The things we can't do are the things where the human mind isn't having the ideas.

“You could say, this is good enough, I'm happy. But I think in terms of what we can't do because of that, that we might someday in the future be able to do, The things we can't do are the things where the human mind isn't having the ideas.”
Speaker
Kenneth Stanley
Publisher
Machine Learning Street Talk

07 / belief

I suspect it has more implications than just that because when we go beyond efficiency to things like creativity, what you're seeing is that the dimensions that have been discovered in the skull for example, align with new skulls, imagining new things in the world.

“I suspect it has more implications than just that because when we go beyond efficiency to things like creativity, what you're seeing is that the dimensions that have been discovered in the skull for example, align with new skulls, imagining new things in the world.”
Speaker
Kenneth Stanley
Publisher
Machine Learning Street Talk

08 / belief

Like, what are you objecting to? But the but the point is that it can still be an impostor because it's like what we care about here is not just that it's going to get answers right, like get good test scores, like seem to be plausibly human when you talk about things that are in distribution.

“Like, what are you objecting to? But the but the point is that it can still be an impostor because it's like what we care about here is not just that it's going to get answers right, like get good test scores, like seem to be plausibly human when you talk about things that are in distribution.”
Speaker
Kenneth Stanley
Publisher
Machine Learning Street Talk
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