01:05:43 · Siyuan Huang, Michael Cho
[01:05:43] S2: Yeah, of course. We are hiring. We are actually hiring people that have the real convictions for the humanoid robot because I think currently we still have We have the debate about the real robot and human robot. We counter this kind of debate from day to day. But in our mindset that we still run the first principle. We still think that human robot is... Will be the most efficient and most general form for the model, for the research, for the deployment. I think we are holding this belief and I think there will be a turning point after we scaling up this human intelligence into the efficiency and into the capability of the real robot and human robots. We estimate it will be, it will happen in the next year that we'll see. So there is maybe a turning point between the capability and between the deployment potentials of the Shimna robot and the real robot. So we are hiring people. We want to attract talents that has real convictions that a humanoid robot is the form that is the most general and most capable in the future. So if you are interested in this kind of research, this kind of deployment, scaling this kind of humanoid intelligence, please contact us. We have actually some links below of the... So you can also follow us on [01:07:22] S0: X. Any final thoughts if you want to wrap up?
01:07:22 · Michael Cho, Xiaojian Ma, Chris Paxton
[01:07:22] S0: X. Any final thoughts if you want to wrap up? [01:07:28] S1: Yeah, I think Susan has already said a lot of things that we're genuinely believing in and we're genuinely encountering during our day-to-day work activity with different kind of people. So yeah, so basically I think what we're doing here is really cool. And if any of our work really affects you, Please consider joining and you can find all the links down below. And yeah. And also thanks Michael and Chris for this opportunity for sharing our work. [01:07:56] S3: Thanks for coming on. Really cool work. Yeah. Some of the coolest humanoid stuff. I've seen in a while, I think. [01:08:02] S0: Thank you. 100%. I think we definitely should repost the whole video that you guys have and get people to watch the whole thing. Because these days people don't have three, four minutes of patience, but then we should just tell people to watch it fully. Because it's happening, man. The long horizon thing. Lots of contact rich manipulation too. Right. [01:08:24] S3: Lots of cool contact manipulation, like the record and the opening the dishwasher. I think the first time, of course, I've watched this video before, but I don't think I've noticed using the fan to open it before. I like that a lot. Thanks. Thank you.
01:08:24 · Chris Paxton, Michael Cho, Siyuan Huang, Xiaojian Ma
[01:08:24] S3: Lots of cool contact manipulation, like the record and the opening the dishwasher. I think the first time, of course, I've watched this video before, but I don't think I've noticed using the fan to open it before. I like that a lot. Thanks. Thank you. [01:08:39] S0: Yeah. And I think that it seems to me that what I'd say like maybe, yeah, because you guys are considering the whole full stack and I think especially the real world RL thing, you know, it's very easy for a human in the room. I think a lot of people who may be betting on real robots previously because they haven't seen something like that. How are we going to do real-world RL in the loop? Once you take over, the whole robot goes crazy, right? Because they're tracking the whole full body, whereas yours is Delta, right? So I think these things actually make a big difference when you actually try to deploy. And so, yeah, very, very cool to see. [01:09:16] S2: Well, thanks for all the sharing. Yeah, I think the name of Delta Intelligence also incorporates one of the Yeah. Very, very, very impressive. Yeah. Okay, cool. Okay, cool. I guess to control the robot, improve their so much for your time, Xiao [01:09:30] S1: Jian and Siyuan. Yeah.