Lex Fridman: belief

Transcript context

…Not soon, but it’s going to happen. The next decade I think is going to be really interesting in robots, the emergence of the robotics industry has been in the waiting for 10, 20 years without really emerging other than for pre-program behavior and stuff like that. And the main issue is, again, the Moravec paradox, how do we get those systems to understand how the world works and plan actions? And so we can do it for really specialized tasks. And the way Boston Dynamics goes about it is basically with a lot of handcrafted dynamical models and careful planning in advance, which is very classical robotics with a lot of innovation, a little bit of perception, but it’s still not, they can’t build a domestic robot. We’re still some distance away from completely autonomous level five driving, and we’re certainly very far away from having level five autonomous driving by a system that can train itself by driving 20 hours like any 17-year-old. So until we have, again, world models, systems that can train themselves to understand how the world works, we’re not going to have significant progress in robotics. So a lot of the people working on robotic hardware at the moment are betting or banking on the fact that AI is going to make sufficient progress towards that, And they’re hoping to discover a product in it too. Because before you have a really strong world model, there’ll be an almost strong world model and people are trying to find a product in a clumsy robot, I suppose, not a perfectly efficient robot. So there’s the factory setting where humanoid robots can help automate some aspects of the factory. I think that’s a crazy difficult task because of all the safety required and all this kind of stuff. I think in the home is more interesting, but then you start to think, I think you mentioned loading the dishwasher, right? Yeah.…

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