Robotic Foundation Models
topic on 3 shows · 6 statements across 3 episodes
No Priors
Invest Like the Best
Catalyst
6 statements about Robotic Foundation Models, every show
Levine: General Robotics Models May Ultimately Be Easier Than Narrow Ones
“And part of the thesis of this company is that we believe that doing it at the full level of generality might actually in the long run be easier than trying to special case very specific narrow application domains.”
Levine: Robotic foundation models will adapt across diverse physical form factors
“And I think that in the future we'll have A robotic foundation model, which can then be adapted to all sorts of applications, and they might really run the gamut from like, you know, like bulldozers or something, to humanoids, to robotic arms like this thing, …”
Levine: General robot models onboard diverse tasks without task-specific engineering
“And I think that's like, there's something interesting there, because it suggests the power of generality, that when you have this kind of general system, you can really just, like, onboard all these crazy tasks without really doing anything particularly sophi…”
Levine: Foundation Models Reduce Uncertainty Before Scaling Robot Hardware Manufacturing
“So, yes, making a robot at scale is difficult. Making a robot at scale is even more difficult if you don't know what kind of software's gonna run it afterwards, and you're not even sure whether it's the right kind of robot. So, I think one of the really valuab…”
Lubbershane: Robotics foundation models lack defensible long-term moats
“I have my skepticism about that About that approach, kind of in a similar way as I have some skepticism about LLMs themselves, which is that I'm not sure about the long-term moat, and I'm also, you know, not convinced that the companies who are building robots…”
Huang: Language-driven robotic foundation models will be discovered
“I have every confidence that a robotic foundation model will be discovered, and that, that through, through expressing yourself using human language you could cause a mechatronic system of almost different types of limbs and, you know, agility to be able to fi…”