Marc Raibert
๐ค SpeakerAppearances Over Time
Podcast Appearances
Yeah, and lack of specification.
I mean, that's what sort of intelligence is, right? Kind of dealing with, understanding a situation even though it wasn't explained.
I mean, that's what sort of intelligence is, right? Kind of dealing with, understanding a situation even though it wasn't explained.
I mean, that's what sort of intelligence is, right? Kind of dealing with, understanding a situation even though it wasn't explained.
You know, Since ChatGBT, which is a year ago, basically, there's a huge interest in that and a huge optimism about it. And I think that there's a lot of things that machine learning, that kind of machine learning. Now, of course, there's lots of different kinds of machine learning. I think there's a lot of interest and optimism about it.
You know, Since ChatGBT, which is a year ago, basically, there's a huge interest in that and a huge optimism about it. And I think that there's a lot of things that machine learning, that kind of machine learning. Now, of course, there's lots of different kinds of machine learning. I think there's a lot of interest and optimism about it.
You know, Since ChatGBT, which is a year ago, basically, there's a huge interest in that and a huge optimism about it. And I think that there's a lot of things that machine learning, that kind of machine learning. Now, of course, there's lots of different kinds of machine learning. I think there's a lot of interest and optimism about it.
I think the facts on the ground are that doing physical things with physical robots is a little bit different than language. The tokens sort of don't exist. Pixel values aren't like words. But I think that there's a lot that can be done there. We have... We have several people working on machine learning approaches.
I think the facts on the ground are that doing physical things with physical robots is a little bit different than language. The tokens sort of don't exist. Pixel values aren't like words. But I think that there's a lot that can be done there. We have... We have several people working on machine learning approaches.
I think the facts on the ground are that doing physical things with physical robots is a little bit different than language. The tokens sort of don't exist. Pixel values aren't like words. But I think that there's a lot that can be done there. We have... We have several people working on machine learning approaches.
I don't know if you know, but we opened an office in Zurich recently, and Marco Hutter, who's one of the real leaders in reinforcement learning for robots, is the director of that office. He's still half-time at ETH now.
I don't know if you know, but we opened an office in Zurich recently, and Marco Hutter, who's one of the real leaders in reinforcement learning for robots, is the director of that office. He's still half-time at ETH now.
I don't know if you know, but we opened an office in Zurich recently, and Marco Hutter, who's one of the real leaders in reinforcement learning for robots, is the director of that office. He's still half-time at ETH now.
the university there where he has an unbelievably fantastic lab and then he's half time leading will be leading off efforts in the Zurich office so we have a healthy learning component but there's part of me that still says if you look out in the world at what the most impressive performances are
the university there where he has an unbelievably fantastic lab and then he's half time leading will be leading off efforts in the Zurich office so we have a healthy learning component but there's part of me that still says if you look out in the world at what the most impressive performances are
the university there where he has an unbelievably fantastic lab and then he's half time leading will be leading off efforts in the Zurich office so we have a healthy learning component but there's part of me that still says if you look out in the world at what the most impressive performances are
They're still pretty much, I hate to use the word traditional, but that's what everybody's calling it, traditional controls, like model predictive control. The Atlas performances that you've seen are mostly model predictive control. They've started to do some learning stuff that's really incredible. I don't know if it's all been shown yet, but you'll see it over time.
They're still pretty much, I hate to use the word traditional, but that's what everybody's calling it, traditional controls, like model predictive control. The Atlas performances that you've seen are mostly model predictive control. They've started to do some learning stuff that's really incredible. I don't know if it's all been shown yet, but you'll see it over time.
They're still pretty much, I hate to use the word traditional, but that's what everybody's calling it, traditional controls, like model predictive control. The Atlas performances that you've seen are mostly model predictive control. They've started to do some learning stuff that's really incredible. I don't know if it's all been shown yet, but you'll see it over time.
And then Marco has done some great stuff and others.