Marc Raibert

But obviously, people have another kind of intelligence. And animals have another kind of intelligence. We can make a plan. Our meeting started at 9.30. I looked up on Google Maps how long it took to walk over here. It was 20 minutes. So I decided, okay, I'd leave my house at 9.00. which is what I did. You know, simple intelligence, but we use that kind of stuff all the time.

It's sort of what we think of as going on in our heads. And I think that's in short supply for robots. Most robots are pretty dumb. And as a result, it takes a lot of skilled people to program them to do everything they do. And it takes a long time. And if robots are gonna satisfy our dreams, they need to be smarter.

It's sort of what we think of as going on in our heads. And I think that's in short supply for robots. Most robots are pretty dumb. And as a result, it takes a lot of skilled people to program them to do everything they do. And it takes a long time. And if robots are gonna satisfy our dreams, they need to be smarter.

It's sort of what we think of as going on in our heads. And I think that's in short supply for robots. Most robots are pretty dumb. And as a result, it takes a lot of skilled people to program them to do everything they do. And it takes a long time. And if robots are gonna satisfy our dreams, they need to be smarter.

So the AI Institute is designed to combine that physicality of the athletic side with the cognitive side. So, for instance, we're trying to make robots that can watch a human do a task, understand what it's seeing, and then do the task itself. So sort of OJT, on-the-job training for robots, as a paradigm. Now, you know, that's pretty hard...

So the AI Institute is designed to combine that physicality of the athletic side with the cognitive side. So, for instance, we're trying to make robots that can watch a human do a task, understand what it's seeing, and then do the task itself. So sort of OJT, on-the-job training for robots, as a paradigm. Now, you know, that's pretty hard...

So the AI Institute is designed to combine that physicality of the athletic side with the cognitive side. So, for instance, we're trying to make robots that can watch a human do a task, understand what it's seeing, and then do the task itself. So sort of OJT, on-the-job training for robots, as a paradigm. Now, you know, that's pretty hard...

It's sort of science fiction, but our idea is to work on a longer timeframe and work on solving those kinds of problems. I have a whole list of things that are in that vein.

It's sort of science fiction, but our idea is to work on a longer timeframe and work on solving those kinds of problems. I have a whole list of things that are in that vein.

It's sort of science fiction, but our idea is to work on a longer timeframe and work on solving those kinds of problems. I have a whole list of things that are in that vein.

And using our hands, you know. Using your hands. The mechanics of interacting with all these things.

And using our hands, you know. Using your hands. The mechanics of interacting with all these things.

And using our hands, you know. Using your hands. The mechanics of interacting with all these things.

these two things you know you've never touched those things before right well i've touched ones like this okay look at all the things i can do right i can juggle and i'm rotating this way i can rotate it without looking i could fetch these things out of my pocket and figure out which one was which and all that kind of stuff yeah and uh i don't think we have much of a clue how all that works yet right and that's i really like putting that under the banner of athletic uh intelligence

these two things you know you've never touched those things before right well i've touched ones like this okay look at all the things i can do right i can juggle and i'm rotating this way i can rotate it without looking i could fetch these things out of my pocket and figure out which one was which and all that kind of stuff yeah and uh i don't think we have much of a clue how all that works yet right and that's i really like putting that under the banner of athletic uh intelligence

these two things you know you've never touched those things before right well i've touched ones like this okay look at all the things i can do right i can juggle and i'm rotating this way i can rotate it without looking i could fetch these things out of my pocket and figure out which one was which and all that kind of stuff yeah and uh i don't think we have much of a clue how all that works yet right and that's i really like putting that under the banner of athletic uh intelligence

I mean, one question you could ask, it isn't my question, but, you know, are they commercially viable? Will they increase productivity? And I think... You know, we're getting very close to that. I don't think we're quite there still. You know, most of the robotics companies, it's a struggle.

I mean, one question you could ask, it isn't my question, but, you know, are they commercially viable? Will they increase productivity? And I think... You know, we're getting very close to that. I don't think we're quite there still. You know, most of the robotics companies, it's a struggle.

I mean, one question you could ask, it isn't my question, but, you know, are they commercially viable? Will they increase productivity? And I think... You know, we're getting very close to that. I don't think we're quite there still. You know, most of the robotics companies, it's a struggle.

It's really the lack of the cognitive side that probably is the biggest barrier at the moment, even for the physically successful robots. But your question is, I mean, you can always do a thing that's more efficient, lighter, more reliable. I'd say reliability. I know that Spot, they've been working very hard on getting the the tail of the reliability curve up and they've made huge progress.