Figure AI

“We're about three and a half years old now. We've shipped now three generations of humanoid robots. And we've been able to demonstrate that humanoids can do, like, useful human-like work now, fully autonomously, and in most cases, like, with neural nets all th…”

“We need to run A decent amount of the neural nets at, ah, kind of like, basically a couple hundred hertz, like a couple hundred times a second. There's no way you're gonna be able to do that fully off board. The robot, ah, would just be too slow.”

“I sit here and watch us do generally anywhere between, like, five and 20 evaluations of new models every single day. And, like, we've been doing that now for a year and a half, two years.”

“We have a commercial customer here in the U S we've now been running with for over five months now every day. we put this out publicly. It's with BMW. That's a fully onboard onboard system that's doing all the reasoning onboard of what the robot should do.”

“I think you will certainly have off board reasoning. I think you will have, I think you'll have both. I think you'll have off-board, like, a big brain off-board that you need to talk to that can do very complex maybe planning and reasoning. You'll have on-boar…”

“Our view right now is that we are trying to go out and do useful work. We're not trying to fool another human that we're a human from, like, a entertainment perspective or maybe companion perspective. So we've not designed the robot with, like, facial expressi…”

“Once, like, one robot knows how to do, like, logistics, That's the same neural networks we can put to every single robot in the fleet, and they can all do it. And so you have this weird scaling law here for humanoids where once, like, one robot knows how to do…”

“We are taking data from all the robots, and we are consulting that out to, like, our servers here at Figure, and we're training on that. And what we're seeing now is we're seeing, like, incredible transfer from other robot data that's helping the current robot…”

“I wouldn't say it's a blocker today. Like, we can, we, like, we can do work In a lot of cases, almost the whole day, depending on what the task looks like and if it's not that, if it's, you know, a task that has a lot of locomotion and movements, we can do kin…”

“The U.S., and particularly Figure, is ahead of every single Chinese company I've seen globally, of what I know publicly, in terms of capabilities. Like, watch the robot do advanced things with neural nets autonomously over long horizons. And the answer is, lik…”

“It also became hard, like, hiring people when we had a partnership like that, where folks felt like we were outsourcing our AI, which we weren't doing, and we were actually doing all of it mostly ourselves internally.”

“Today we're like far, like less efficient than a human. Humans are like the, are, we are like extremely efficient. Like, our, you know, biological neural nets are really efficient. The way, the, how much energy, or how much power we use to exert, like, walking…”

“OpenAI led my series B. We generally were working on some kind of advanced models with them. Or maybe a year or two, a year or so, about a year. And I figure ultimately chose to kind of, ah, leave them and go in our own direction.”

“My view is that there's going to be a generational company to be built that We'll be able to put, ultimately, billions of robots on the planet that will build, like, the largest company we've ever seen in the world by a long shot.”

“I've had a robot in my house now for like a few months. And You know, my kids have been there, but we, like, we monitor the robot. So we're not, like, we're not, like, we're, like, we have somebody with the robot. Like, we're not letting the kids go up and hug…”

“And what you're seeing now in the world is like, I would say most major competitor to us at this point are putting out most of their content and updates teleopt from a human. And I think it's like perhaps some of the most deceiving things I've ever seen.”

“At Figure here, we design basically the entire hardware and software stack on the robot, almost entirely ourselves at this point. So that goes down to, like, the motors and battery systems, all the electronics, wiring, kinematics, and structures. And sensors.”

“We have, like, in figure three, we have three screens. We have a front screen, like, an OLED. We have, like, two side screens. We can, like, I'll talk about that. We have a speaker and mic, a new speaker and mic system that's, like, really, actually really goo…”

“Like, for us, like, we have, like, we have, like, over a billion dollars of cash.”

“And the goal here, it figures to be able to do everything a human can in the physical world.”