01:09:39 · Chris Paxton, Michael Cho, Vincent Liu
[01:09:39] S3: Yeah. Like, a lot of the Ego four d videos, for example, like, if it's a person performing a task at person speeds, right, like, the cameras. This is also earlier versions of Aria. Right? So, like, the cameras would blur, and you wouldn't be able to see, like, what was going on and, like, all the features would get washed out. This is, like... Yeah. There's still, like, a lot of ways to go, I think, as far as video models to... Before we can get that kind of stuff to work well. Yeah. Yeah. [01:10:02] S0: But But I suppose having hardware, like, built in that can help... Really help you with the SLAM. So bare minimum, you have decent camera pose. Yeah. Got it. Mhmm. I think that already helps. So you... You're not always just relying on computer vision. Because I can imagine you just shake your head like that, and then the whole image is just, like, almost not reducible. It's just, like, blurry images. Yeah. Whereas if you have a very decent IMU here, maybe you you can recover that a lot more. K. Yeah. But I I... Yeah. I'll be keen to see if if there... Yeah. If there are more papers along this line, let... Let's bring them Yeah. Bring them on. Yeah. Because it sounds like these guys are gonna do two things in in... As a company now, so maybe I don't know whether they will still publish it. [01:10:48] S3: Maybe. At least see it. [01:10:50] S0: Yeah. We'll see. [01:10:50] S3: There's lots of Yeah. There's lots of exciting stuff happening in that world right now. Yeah. [01:10:55] S1: Very cool. Yeah. For
01:10:55 · Vincent Liu, Michael Cho, Ademi Adeniji, Chris Paxton
[01:10:55] S1: Very cool. Yeah. For [01:10:56] S0: sure. Alright. Cool. Alright. I guess until the next one. [01:10:59] S2: Yeah. See you [01:10:59] S3: next time. Bye. [01:11:00] S0: Chat soon.