Sergey Levine
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But I'm very optimistic about it because it's like, it seems to me like the light at the end of the tunnel is kind of, it's in the right direction.
So, again, for the specifics of how we make that happen, I think that's a very long conversation that I'm probably not the most qualified to speak to.
But I think that in terms of the ingredients, the ingredient here that I think is important is that robots help with β
physical things, physical work.
And if producing robots is itself physical work, then getting really good at robotics should help with that.
It's a little circular, of course, and as with all circular things, you have to kind of bootstrap it and try to get that engine going.
It seems like it is an easier problem to address than, for example, the problem of digital devices where work goes into creating computers, phones, et cetera, but the computers and phones don't themselves help with the work.
Well, yeah.
And this is why I said before that I think something really important to get right here is a balanced robotics ecosystem, right?
Like I think β
I think AI is tremendously exciting, but I think we should also recognize that getting AI right is not the only thing that we need to do.
And we need to think about how to balance our priorities, our investment, the kind of things that we spend our time on.
Just as an example, at Physical Intelligence, we do take hardware very seriously, actually.
We build a lot of our own things, and we want to have a hardware roadmap alongside our AI roadmap.
But I think that that's just us.
I think that for the United States, arguably for human civilization as a whole, I think we need to think about these problems very holistically.
And I think it is easy to get distracted sometimes when
There's a lot of excitement, a lot of progress in one area like AI.
And we are tempted to lose track of other things including things you've said like, hey, like, you know, there's a hardware component.
There's an infrastructure component with compute and things like that.