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bilibili_data_1650386044_BV1cK411x7Yh_BV1cK411x7Yh_m4-dialogue_0481749
[S1] Right? We're projecting what we have and, and putting it out four or five years. I don't think people, let me ask you, do you think people are ready for what the world's gonna be like in 2030? [S2] Uh, no. Um, I, I don't know what the world's gonna be like in 2030, so probably I wouldn't say that I'm- [S1] Yeah. [S2] ... necessarily perfectly ready. I, the, the, I,
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bilibili_data_1650386044_BV1cK411x7Yh_BV1cK411x7Yh_m4-dialogue_0481752
[S1] Um. [S2] Uh, the, is this back to Wales? [S1] No, no, no, no. It's, it's, it's another form of life. It's, uh, the, the horse manure, uh, disaster. [S2] Oh, oh, yeah, yeah, the horse, the horseshed problem. [S1] Yes. Yeah. [S2] Uh-
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bilibili_data_1650386044_BV1cK411x7Yh_BV1cK411x7Yh_m4-dialogue_0481757
[S1] that we did this was because we were told, uh, very clearly that if we did not hire permanent residents, uh, of the United States, that that would conju- constitute a violation of International Trade Tra- Traffic and Arms Regulations, ITAR, and the entire executive team of SpaceX and the board would go to prison. [S2] [LAUGHS] Sounds like a good motivation. [S1] Uh,
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[S1] Uh, yes. And so we, we were literally told by the government in very clear terms, and, and you, I mean, you're well aware of ITAR. [S2] I am well aware of ITAR. [S1] Yes, it's a, it's a nightmare. Um, and we would like them higher- [S2] Which, which by the way, uh, puts us in a non-competitive world against, uh, other nations.
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bilibili_data_1650386044_BV1cK411x7Yh_BV1cK411x7Yh_m4-dialogue_0481759
[S1] Yes. [S2] So we're damned if we do, and damned if we don't. [S1] Mm-hmm. [S2] [LAUGHS] So, so if, if we, if we hire someone who's not a permanent resident, we, we're, we're breaking the law. And if we don't hire someone who's, who's not a permanent resident, we're breaking the law. [S1] Mm-hmm. [S2] So what, this is, this is an example of the madness that we're facing.
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[S1] in, absent civilization. Um, you, you know, if, if civilization collapses, it's all over. Um, you know, there's like people who've got like these sort of, um, bunkers in- [S2] [LAUGHS] [S1] ... like other countries or- [S2] [LAUGHS] Yeah. [S1] ... Hawaii or whatever. Um, and I'm like, listen, do you really think that you, you're gonna make it in, in an apocalyptic situation? Um,
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bilibili_data_1650386044_BV1cK411x7Yh_BV1cK411x7Yh_m4-dialogue_0481761
[S1] and, and make the world a more productive place, right? The best way to become a billionaire is to help a billion people. The world's biggest problems, the world's biggest business opportunities. [S2] Uh, [S1] Do you believe that? [S2] Well, I guess maybe we should just talk to people more.
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[S1] Um, I mean, no, I, I think, I, I agree with you that the future most likely has abundant. Um, but we, we shouldn't be complacent about the future. Um, you know, com- complacency and entitlement are not a recipe for success. But the most likely outcome is one of abundance of goods and services. Um, that is certainly where we're headed. [S2] Uh. [S1] Uh, yeah. [S2] Yeah, when I, when I saw you laugh, I mean, that is mighty likely where we're headed.
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bilibili_data_1650386044_BV1cK411x7Yh_BV1cK411x7Yh_m4-dialogue_0481763
[S1] Well, thanks to that. I mean Optimus, I need to make sure that Optimus is, you know, doesn't cause, it doesn't add to civilizational risk. Um, you know, 'cause you, you don't want like a billion of these things all with centralized control. [S2] [LAUGHS] Unless, unless- [S1] What could go wrong? [S2] [LAUGHS] [S1] Has anyone made a movie about that? [S2] [LAUGHS] Unless they obey you. [LAUGHS]
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[S1] ... [S2] Um, but, like, I think you have to have lo- local control. [S1] But- [S2] Um, it, it has to be decentralized, um, because any, any central, uh, control is gonna be problematic. Um, 'cause you, you just can't be sh- Like, it could be a rogue AI takes- I mean, this is literally a movie. Uh, a, a rogue AI, you know, Terminator, uh, t- takes over, somehow gains control of, um, the mothership of- that controls all the, you know, the-
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[S1] ... the first, the first product is tele, telepathy, essentially. Um, um, or telekinesis. Um, and, uh, and then the second product, uh, sort of tentatively called, uh, blind site, where, uh, we can re- restore sight even if somebody is, uh, has, uh, lost both eyes and their optic nerves. [S2] Amazing. [S1] Um- [S2] Go straight to the visual cortex, yeah.
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[S1] Yeah, exactly. Uh, um, and th- now, th- these things all w- already work, uh, in monkeys, um, and, uh, I'd just like to re-emphasize, uh, no, no monkey has, has ever died because of a neural link. [S2] [LAUGHS] [S1] Um, and we, we, we, we treat our monkeys extremely well. [S2] [LAUGHS] Last time I, last time I spoke to you about this, you were playing, uh, you were playing pong against pager, I think.
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[S1] That's right. Um, actually, it turns out monkeys love playing video games. [S2] [LAUGHS] [S1] Um, they, they're, they're really just like us. I mean, they, they, they love, uh, eating, eating snacks and playing video games. [S2] I'll tell my 12-year-old boys about that. [LAUGHS]
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[S1] Well, I, I, I do think that, uh, the birth rate is too low for humans, as I, I'm always going on about that. Um, just, uh- [S2] Longevity, baby. I'm solving it with longevity. I'm gonna keep people alive longer. [S1] Okay, well- [S2] And robots, and AI. [S1] Sure. Um, but, I mean, it just, uh, the, the, the current situation is- [S2] Is, is grim. It's grim. [S1] ... dramatic. [S2] Yeah. Yeah.
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[S1] Yeah, yeah. Um, I mean, a lot of countries are, um, you know, if you look at, say, Korea- [S2] And Italy, yeah. [S1] Uh, yeah. They're, they're losing roughly half their population per generation. [S2] Yeah. [S1] Um, that means three generations, they're one-tenth of their current size and, and, and with the, the one-tenth that remains, um, being very old.
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bilibili_data_1650386044_BV1cK411x7Yh_BV1cK411x7Yh_m4-dialogue_0481772
[S1] Yeah, I, I think people should be optimistic about the future. Um, they, so, the Earth can handle far more humans than currently exist. Um, and, uh, the danger is not a population explosion, but population collapse. [S2] Mm-hmm. [S1] Um, so I would just encourage as many people as possible to, uh, have kids. And ideally have a lot of kids because they're gonna make up for those who- [S2] [LAUGHS] [S1] ... whatever is done. [S2] Buy an extra bottle of wine tonight, folks. [S1] [LAUGHS]
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[S1] Yeah, it's a big deal. Um, so, uh- [S2] Would you, would you- [S1] Yeah. [S2] Let's, let's close out on a conversation of AI and AGI, which I know a lot of people are always interested in. And, and, and there's a real fear, um, about AI. Um, what would you say to dissuade people? I mean, it's, you, you've, you've, I've heard you say 80% probability we make it through and we need to protect the downside. Um,
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[S1] Well, the, the, the rate at which AI is growing is, is, really boggles the mind. [S2] Yeah. [S1] Um, so, it, it currently seems as though the amount of compute dedicated to artificial intelligence is, um, increasing by a factor of 10 roughly every six months.
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[S1] Um, it's, it's fa- it's faster than annual, that's for sure. [S2] Mm-hmm. [S1] So, um, I mean, I've he- I recently heard today about a gigawatt class, uh, AI dizz, uh, compute cluster. [S2] Wow. [S1] Um, that's, I think it's being, being built in Kuwait or something to that effect. Um, and it's, uh, it,
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[S1] Like 700,000, um, B-100s, uh, which is a couple of generations above, two generations beyond- [S2] Yeah, H-100, yeah. [S1] ... the H-100 that started later in, in production. [S2] Yeah. [S1] So this is a, a staggering amount of compute. Um, and, and there are many such, such things that, that's just the biggest one I've heard of so far, but there are, there's a 500-megawatt installation happening. Um, there's, and there's, there's, there's multiple 100, 100-megawatt installations, um, in the works.
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[S1] I don't, it's not even clear to me what, what you do with that much, um, compute. Um, 'cause you, when you, when you actually add up old human data ever created, uh, you really just run out of things to train on very, quite quickly. Um, like you, you know, if you've got maybe, I don't know, 20 or 30,000 H-100s, you can train on- [S2] Synthetic data. [S1] Yeah. Yeah. You, basically, you have to have, have, have synthetic data. Um,
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[S1] Because for certainly well under 100,000 H-100s, you can train an all-human data ever created including video. [S2] Uh- [S1] Um-
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[S1] I've never seen anything move this fast. Any, of any technology, this is the fastest moving thing. So, um, in, in terms of aiming for AI safety, my, my best guess of my sort of primitive biological neural net is, is that we should, uh, aim for maximum truth- [S2] Mm-hmm. [S1] ... seeking and, and curiosity. Um,
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[S1] That, that's, that's, that's my gut feel for the, for how to make AI as safe as possible. If, the, the danger with programming morality and explicit, it, it, with an explicit morality program is what is sometimes referred to as the Waluigi problem. If you create Luigi, you automatically create Waluigi by inverting Luigi. [S2] Sure. [S1] Um, so, um, so I think we, we have to be careful about programming and,
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[S1] 'Cause that's the, that's the hope at the end of the rainbow here, that, uh, I don't want to use the word AGI, I'll use a super di- a digital super intelligence as a, as a term, uh, with a digital super intelligence that is able to be more benevolent and support us. 'Cause sometimes I'm not sure us squishy meat sacks can make it- [S2] [LAUGHS] [S1] ... through our own, our own, uh, horseshit problems that we put together. Um,
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[S1] Yeah. Um, well, I mean, one way that AI could go wrong is if the extinctionist philosophy is programmed into the AI. [S2] Mm. [S1] With, with, implicitly or explicitly. I mean, probably not explicitly, but there's a strong danger of it, of an implicit extinctionist philosophy being programmed into AI. Um, you know, and, and, and... [S2] What would that look like? What would that look like?
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[S1] Well, like there's this guy on the front page of the New York Times, um, about a year ago. Um, he's head of the Extinction Society, and he was literally quoted as, "There are 8 billion people on, on Earth. It'd be better if there were none." [S2] Oh. [S1] Um- [S2] Oh, my God.
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[S1] was somehow programmed into AI as, as the optimization. [S2] Mm. [S1] That would be extremely dangerous. [S2] Yeah, you know, to, to say the least. Um, yeah. [S1] [LAUGHS] It's, and it, but, you know, there's, there's, there are people, quite a few people actually who, who view humanity, um, as, as a blind on the surface of the ocean. [S2] Yeah, that,
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[S1] Um- [S2] Yeah. So the ho- like, you know, Hobbes, life is nasty, brutish, and short. [S1] Yeah. [S2] Um, I, I actually, I ha- I had a little Yorkshire terrier once, um, who was, uh, nasty, brutish, and short- [S1] [LAUGHS] [S2] ... and, and kept, kept biting people, so I called him Hobbes. [S1] [LAUGHS] [S2] Um- [S1] [LAUGHS] It's perfect. [LAUGHS] [S2] [LAUGHS]
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[S1] And I, and I would tell friends that, that, that came over, "Watch out for the dog." [S2] [LAUGHS] [S1] And they'd look at this miniature Yorkshire terrier and, and laugh, and then I'd, you know, and bite them on the ankle. [S2] [LAUGHS] [S1] And I said, "Watch out." I said, "Watch out for the dog." [S2] [LAUGHS]
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[S1] Short-term problems, long-term problems, short-term solutions, long-term solutions. You said make it curious, make it, uh, maximum truth-seeking, 100%. [S2] Mm-hmm. [S1] Um, I, is it okay to say that we're gonna have issues in the short-term and we're gonna have to deal with them? Or do you th- [S2] It won't be. There, there, there will be, there will be some issues. Um, I mean, it's history. At this point,
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[S1] No, wait, it's not AI. It, it, it's, it is accelerating whether people like it or not. Um, I mean, that's, that's, uh, that's why, together with a number of really smart people, we created, uh, XAI. [S2] Sure. [S1] Um, and, um,
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[S1] Uh, you know, having people live longer, uh, you don't, people don't need to die for there to be new ideas. You know, the, the CEO of Ford and GM didn't have to die for Tesla to come into existence. So, uh, [S2] Yeah. [S1] Uh, you know, I'm, I want to just say thank you for all that you're doing and, and setting a model for other
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[S1] You know, um, we, we wanna be, I'm not, I don't think we wanna necessarily have people live forever. That's, we'll live for a very long, like, thousands of years. But I think that would potentially lead to ossification of society. It, it, it, it would, I think, lead to ossification of society. [S2] Sure. [S1] Um, but, but, I mean, solving d- dementia and, um, you know, curing cancer, I think, are good things, obviously. Um,
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[S1] Sure. Um, so it's, it's, uh, you know, there, there is a, a challenge that, like a lot of people, they really never change their mind, they just die. And this, this is actually, I'm not sure who originally said this, but even in physics- [S2] Yes. [S1] ... where, which is extremely rigorous, um, that, you know, that, that, you know, physics in a lot of cases has advanced one death at a time.
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[S1] That, I think that, that, that is most likely to lead to a good outcome for humanity. Um, because we are, we are much more interesting than, than, than not humanity. [S2] Mm-hmm. [S1] Like, like, obviously, you know, I'm a big fan of Mars, but Mars is,
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[S1] And, you know, the company motto is, "Understand the universe." [S2] Uh, can- [S1] Um, and- [S2] That's a, that's a, that's a good mission and, and one that's gonna take a bit of time. I can't wait till the first, uh, AI is able to come up with new theories of physics, um, and, uh- [S1] Yeah. [S2] ... innovations. That's gonna be, I mean, I don't think that's far away, and I think that's gonna be one of the most awesome times ever to be alive.
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[S1] I remember I was at your birthday party at one of your homes here in LA before you sold them. Uh, and Larry Page was there and Sergey was there. [S2] Oh, yeah. [S1] And we were having a conversation about living in a simulation. And the notion was, this is, we're in the 99th level of the gameplay and this is
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[S1] We only stop doing the simulations when the, when the outcome is extremely predictable and boring. [S2] Yes. [S1] And so if, if, if we're in some alien computer- [S2] [LAUGHS] That's a, that's a great argument. That is perfect. Right? When it's absolutely known. If we're not, if we're not, if we're not entertaining enough to the, uh, to the digital gods or the universe gods, don't land in the sim. [S1] Yeah. We just need to make sure we have the, keep the ratings up. [S2] [LAUGHS] [S1] Um,
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[S1] But, but this is why also why I think like one of the, um, ways to predict the future is that the most entertaining outcome is the most likely, as seen by a third party, as seen by, as though we were in an alien soap opera. [S2] [LAUGHS] I love that. [S1] Yeah. Like, like, so it's not necessarily good for those in the soap opera. Like you could be watching a World War I movie- [S2] [LAUGHS] [S1] ... and seeing, you know, people get blown up. [S2] Yeah. [S1] Um,
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[S1] and, and you're just eating popcorn and drinking a soda, um, but we're, we're, we're in the movie. Um- [S2] Yeah. Well, let's not get, let's not get dystopian here, 'cause I think we can have a- [S1] [LAUGHS] [S2] We can have a, we can have a really positive outcome of a lot of other cool stuff. Um, yeah, for sure. [S1] I think the most likely outcome is positive.
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[S1] And, and I think if, you know, and I think that's partly a self-fulfilling prophecy. If you don't believe so, if you believe it's going to be a dystopian outcome, then you're going to be back on your heels, protecting yourself, not investing in the future, and it unravels. And this- [S2] Yeah. [S1] And, and so, you know, I think the, the message of this entire space is, is this is the most extraordinary time to be alive, the most exciting time to be alive, a time where, you know,
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[S1] We should, we should err on the side of optimism and we should have kids. [S2] [LAUGHS] [S1] Um, like, uh, you know, to, to, to err is human. [S2] [LAUGHS] And to- [S1] H-E-I-R. [S2] [LAUGHS] And to reproduce as human. [S1] [LAUGHS] [S2] All right, buddy, listen, thank you so much for your time. Thanks for sharing. [S1] [LAUGHS] You're welcome. All right. Thanks, Peter. Bye. [S2] Take care, buddy. Bye.
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[S1] Hello, Herbert. I can't believe I'm back on so soon after we just made the video about Aloha, which also was sort of breaking news. Uh, and, you know, once again, you've kind of caught me on, on the move here. I'm in, uh, Snowy Zermatt, uh, in, in Switzerland. And, you know, last night when I, I went to bed, there was no news, everything was fine. [S2] [LAUGHS] [S1] But I could hear my phone making some notifications, and then when I get up, I saw the original post from, from Brett saying that,
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[S1] ... there's been kind of a breakthrough, more news later, and I'm like, "Uh-oh, something's gonna be coming." [S2] Yeah. [S1] Spent the day skiing, and of course, as soon as I come back, then I'm seeing everyone's reposted that figure video. [S2] [LAUGHS] [S1] So much so, I was like, "There's no point in me reposting it because I know all my followers have seen it ten times already." And it is very interesting. It's worth getting into. It's also worth contrasting with what was going on with Aloha. And the other thing I noticed is that I then checked my calendar, and I'm like,
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[S1] You know, I know 2024 is supposed to be the year of AI, but it's only the 7th of January, okay? Most of us have not even got over our New Year's Eve hangover yet, and already we've been hit with a couple new developments coming in the AI world. And I wonder, are, do they know that there's like other news about to hit next week and the week after, and they've got to get it out before all the others kind of trump them? So- [S2] That's exactly what's happening. [S1] Here we go.
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[S1] and he basically, what is it, there are 70 employee company, Scott, right? 70 employees. [S2] Yes. Mm-hmm. [S1] Small, but you and I and many others have been talking about, they're very likely to have partnered, we think, with Google DeepMind. We'll find out, uh, which is, by the way- [S2] I get it. [S1] ... the, my mobile, mobile OA is also Google. They've got that partnership. So this is what Brad said, uh, a week ago. He said, "In 2022, I was hoping AI-powered humanoid robots were possible.
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[S1] Like, uh, doing a, a, a George Hotz here and like saying, "Hey," you know, "Elon or Brett, if one of you wants to hire me as an intern for six months, I'll gladly do it." [S2] [LAUGHS] [S1] You know, just kind of show up and they just kind of go around and figure out what's going on because I'd love to see what's going on just because of the curious nature of, of what they're doing, uh, would absolutely intrigue me and I would love to know something like that.
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[S1] You know, they, they are not really kind of thinking about what's going on because in many cases, these discussions that Brett talked about, it's like, we can just not talk about it now. It's like, well, are we just gonna talk about it within our community? I think it must be a much broader conversation. [S2] Yeah. [S1] And I invite that and,
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[S1] We are kind of looking forward for that because I think right now we need the exchange of ideas, not like, "Oh, that's a bad idea," or, or, or I completely disagree with you. It's like, "Hmm, let's start talking about this and see if we can come to some kind of consensus of what is the future gonna look like with humanoid robots," because we are gonna start seeing it this year. I'm, I am convinced that- [S2] Yeah. [S1] ... it's not going to be displacing lots of workers, but we are going to see that they are showing up in places and they are doing jobs
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[S1] And it's only going, you know, we're going to be at the bottom of that S-curve, and then, and then suddenly it's going to surprise everyone when it goes like that. [S2] Yeah, so- [S1] Don't be surprised. [S2] It is, yeah, it's inevitable at this point. Uh, as you can see, the progress happening so qu- quickly. I want to set the stage for a few people, and then I want to get right into the fingers and comparing it against the Tesla bot, and then we'll also go back to comparing it to Aloha, Google's mobile Aloha, because we brought it up a few times this, in this, uh, show. So the first is that, um,
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[S1] countries like China has made a statement and, uh, they basically said that by 2027, they want to be the leader in humanoid robots. [S2] Mm-hmm. [S1] So as a country, they are going to implement policies, they're going to implement money, they're going to try to do everything to support mobile, uh, robot, humanoid robots. Con- companies, as you can see here, this is the first indication that Fortune 50 companies have partnered with a robotics company. It is no doubt, but this is the first time we heard about it.
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[S1] And it may be that it's, you can do fine just with two knuckles. You might be able to do everything that, you know, adding the third knuckle maybe gets you something a bit more human-like, a little bit closer. But for the most cases, we don't have that much control of the end of that knuckle. I mean, it's like- [S2] Okay. [S1] ... we, we can make our finger curl, everything goes around. But that's an additional part, that's an additional wear point, this additional point of failure, putting in additional knuckles. So that is the rationale between optimists, is they're saying, "We don't really need the, the knuckle." [S2] It's using the pinky, by the way. [S1] ... the cheaper,
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[S1] ... using the pinky, by the way. [S2] Yes. [S1] He's using the pinky to pop it in, which is pretty cool, eh? Look at that. He used the pinky to pop it in. [S2] Yeah, yeah. [S1] 'Cause it's the closest finger there. [S2] So it knows it's holding it for him. [S1] Yeah. [S2] Yeah. [S1] Yeah. [S2] There are some things I would like to see them clean up. If, if you look in that right now, um, that's the one part of the design I don't like, is the whole lower arm, especially the wrist. [S1] Mm-hmm. [S2] It's way too bulky. Way too bulky. [S1] Yeah. [S2] And, and it's a really huge servo here for that last movement. [S1] Bulky. [S2] You know, it's like this little hand movement that you don't need much of
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[S1] And so, yeah, before we were not really able to see what the hand was able to do. We just get like some, some teasers and that was the, the one part that I think is really interesting, what they've done there in the torso. Uh, beautiful design there. They're gonna have to probably do something with it. So they have a pretty big backpack there, so- [S2] Yeah, let me just take a look at the backpack. There's a massive backpack there. You see that? Now, is it still here in this demo? This is the latest. [S1] Yes. [S2] It still has it. [S1] Yes.
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[S1] You know, I guess the, the, the whole point of what we're trying to point out here, [LAUGHS] the whole point is that there's three things we've been saying. Every time we do one of these videos, we tell people, you gotta look at the brain, which is the AI. [S2] Mm-hmm. [S1] You gotta look at the hand dexterity, and you gotta look at the humanoid form and its ability to walk. [S2] [LAUGHS] [S1] And you can see-
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[S1] that they're making progress in every one of these areas. You can see initially the hands were like this. Now you can actually see it can move. It's not a, Tesla seems to be ahead in that space. Then you can see the human form and its ability to walk. These guys still are a Gen 1 that Tesla had with the wire sticking out, the big backpack, but that's going to be fixed in maybe another six months, maybe- [S2] Oh, yeah. [S1] ... I don't know, whatever. They'll have that slimmed down and cleaned up.
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[S1] But the breakthrough today is the AI. So let's sh- talk about Mobile Aloha for those people who've not seen this. [S2] [LAUGHS] [S1] So Mobile Aloha is, uh, made by three Stanford researchers, and what they've shown is just by training a bot, uh, guess here's, here's a video of them. You see how there's a human controlling these two arms. [S2] Mm-hmm. [S1] But the two, but you call these things two thumbs. They're not even fingers. [S2] Yeah. Yeah, talk about, you know, being all- [S1] But even with just fingers-
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[S1] Uh, to going to the elevator. [S2] The elevator. [S1] To press the button was 50 times. Once they showed it to do a task 50 times, like this, pushing the chairs back 50 times, then the, the thing can do it on its own. Now watch this. It misses this. Oh, which one? Oh. I thought it missed one. [S2] Mm-hmm. [S1] And then it had to redo it. [S2] Maybe.
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[S1] And so, then they released this video showing that, okay, this thing can do all these things in-house with just two thumbs. [S2] Mm-hmm. [S1] And now, of course, this is all telo-operated, so it's kind of like a fake video that we're going, "Oh my God, I can do this." But no, there's a human doing it. But they're saying that any of these tasks that you see, like opening a beer bottle, if I just trained it 50 times,
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[S1] It can then do it autonomously. That's what they're trying to do. [S2] Right. [S1] And then what you were shocked with is just with the two thumbs, it can do these things. So even folding laundry. [S2] Yeah. [S1] So tell us what you think about that. [S2] Exactly.
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[S1] And when you have something which is much closer to the humanoid form, you can imagine, "Wow, it's going to be even easier." Just got to make sure you have the brains. And now it looks like the brains are going to be very, very, very close. Uh, now, I think there's two other points I want to point out that I think in the, um, in the Coffee Maker demo, it was pointed out that that is a 1x speed video. That was all real time. So it was not sped up or anything else. So everything- [S2] Yeah. [S1] ... you're seeing there is real time. It's not sped up.
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[S1] That's the first thing. The other thing I want to, uh, correct you on is you said countries like China that are talking about having a humanoid, um, uh, as, as a priority, humanoid robots as a priority, it's not countries, it's country. China is the only country that has made a statement like that. And that's a bit worrisome. [S2] Well, that's, that's worrisome. [S1] That they are the only one-
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[S1] No one else is thinking of doing that. And that's why I'm saying it's time for, you know- [S2] The US. [S1] ... other, other countries in this World Economic Forum to start thinking about that, that this is going to happen and that it should be probably a priority to start the development of these things and also start thinking what's the impact going to be on society and on the economy and everything else. Um, because they could say there's like, "Oh, it's not gonna happen. We don't believe it's gonna happen." Well, okay. If, if that's the position you wanna take, but
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[S1] It's going to happen. And if you look in China, there's always another startup. I think just the other day, there was yet another video that came out of a company called Kepler, which has something that looks very much like, uh, the Optimus Bot. So, yeah, one more company coming out of China- [S2] Let's take a look at that one next. [S1] ...
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[S1] What is your job title? [S2] I'm the Vice President of Performance Science, Principal Scientist at, uh, WHOOP, which is a technology, a physiological monitoring technology company. [S1] And what does that mean?
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[S1] professions and, and crafts and, and what the physiology and the psychology looks like, we can then kind of abstract and, and, and I think in some ways generalize what that means for the regular population, um, who are experiencing less extreme demands on, on their time and their energy and, and their cognitive bandwidth. [S2] And you conduct, um, your own studies. [S1] Yeah.
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[S1] Yes. Yeah. So, I'm a principal investigator on, um, on many studies, um, which means that I'm kind of leading those experiments from kind of A to Z, and I have a team that is, you know, kind of supporting that research, um, and from various aspects of, of expertise. Um, but yeah, I mean, one of the studies that we published in, in May was looking at, uh, a thousand paratroopers in Army, Alaska. So, super extreme, you know, environment. [S2] Wow. [S1] You know, harsh, but,
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[S1] sleep/wake timing, I think is the mother of all performance optimization behaviors. [S2] Sleep, wake timing. [S1] Mm-hmm. [S2] So is this the same thing as your circadian rhythm, or is it- [S1] Yeah, so this is one of the most, I think when we think about circadian rhythms, which is just physical, mental, and behavioral changes that happen in a 24-hour cycle, um, and your biological clock is kind of orchestrating these rhythms, right? And
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[S1] Okay, so I'm going to have to- [S2] Yeah. [S1] ... pause and take this right back to, uh, monkey level stuff. [S2] Yeah. [S1] What is a circadian rhythm? As if you're explaining it to a ten-year-old. [S2] So, yeah, so it's basically physical, mental, and behavioral changes that happen over a 24-hour cycle. [S1] Okay. So here's my read on it, and correct me if I'm wrong. There's a clock- [S2] Mm-hmm. [S1] ... in my head.
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[S1] Yes. The, the, the super cosmetic nucleus. [S2] Yeah. [S1] Is, uh, is the master clock. [S2] Okay. Which is somewhere in my body. [S1] Yeah, it's in the, it's in the hypothalamus. [S2] So it's in my brain. [S1] Yeah. [S2] And this clock regulates every cell in my body. [S1] Cell, tissue, organ. [S2] Okay. And it releases, it controls the release of a chemical which makes those cells, organs, every part of my body do stuff.
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[S1] Yeah, so it is your hypothalamus, so the super-cosmetic nucleus, it responds to light and it responds to darkness. [S2] Okay. [S1] Okay, so that's like the most pronounced entrainment cue for this master clock. And it then tells, it sends signals to every cell tissue in your body as to what it needs to be doing in the presence of light, in the presence of darkness. And when we are viewing light at a phase
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[S1] So a way of thinking about this, um, so that I and everyone else can understand is there's this master clock in our, um, hypothalamus. [S2] Mm-hmm. [S1] Look at me. Um, hypothalamus, and this master clock regulates all of the other clocks throughout our entire body, and there's millions of them. [S2] Right. [S1] Basically. [S2] Yes. [S1] And the thing that's the master clock is using as a signal, the clock in our brain, is light and darkness. [S2] Mm-hmm. [S1] That's its most reliable. [S2] That's the most strongest. Yes. [S1] Yeah. That's the signal it cares about, it listens to the most. [S2] Mm-hmm. [S1] But there's other signals as well.
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[S1] And if that master clock, if, so if I'm, if I'm up at 4 a.m. and I'm looking at a, a light at 4 a.m., that master clock is gonna start firing off chemicals to all the other clocks. [S2] Mm-hmm. [S1] Um, and then all the clocks are gonna be out of sync because then when I wake up, it's light and then, you know- [S2] You're confusing your system. [S1] I'm confusing my body. [S2] Right. [S1] And it's firing off in all kinds of different ways. [S2] Right. [S1] So I need to form a, an alignment, which means basically sleeping at the right time, exposing myself to darkness at the right time, et cetera, et cetera. [S2] Right. Your body
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[S1] ... exposure to light really after the sun goes down. We haven't adapted to blue light after dark, right? After the sun goes down. We have not adapted to blue light. [S2] Blue light being the light we get from screens. [S1] Yeah.
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[S1] To understand this from a more sort of prehistoric, ancestral lens, if we go back, I know, tens of thousands of years to how maybe some of our ancestors used to live, they would have food at certain times and they would have light exposure at certain times. They didn't have artificial light. [S2] Right. [S1] They hadn't invented that yet. The modern world is very much the antithesis of that. [S2] It is. [S1] We have food whenever we want it. We can order, I can order a cookie at 3 a.m. if I want to eat. [S2] Right. [S1] Cookie at 3 a.m. and I can watch
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[S1] Like, that is how powerful these light/dark signals are to our body. And I, I think that just those two examples are really, uh, compelling in that, you know, we're, we have evolved to kind of wake up and fall asleep in relation to this light/dark cycle. [S2] So all of this stuff we say to ourselves, 'cause I say that to myself all the time. I told, I've told myself I'm a, a night owl. [S1] Yeah. [S2] And I've given myself the whole corona touch feel. [S1] Yeah. [S2] That's BS.
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[S1] At the most, maybe an hour and a half. Obviously, it's age-related as well. Um, but for the most part, I don't, I don't think this variability is, is as pronounced as, as, as what, um, what we say it is. [S2] Sleep. [S1] Yeah. [S2] So conventional wisdom says it's all about how many hours you spend sleeping.
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[S1] What did they find? What, what was the conclusion of that? Was there a, sort of a percentage variance in those- [S2] So- [S1] ... that had irregular and regular sleep? [S2] Yeah, so the sleep onset/offset times, I'm, I'm not sure, but actually, this is research that my team is doing, and that we have not published yet, so this is preliminary data, but we're, we're actually able to determine down to the minute
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[S1] day. [S2] ... to stress the next day. [S1] Okay. [S2] So life float. So sleep-wake time is really important. And we're, we're, we're doing research across, across every age bucket and, and, but you can imagine that if, these are the most robust humans on the planet and they have 70 minutes
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bilibili_data_1650386044_BV1mw41137z2_BV1mw41137z2_m4-dialogue_1004869
[S1] That's when all the physical restoration happens. So all the regeneration physically. So if we're bypassing that, we're basically, all the work that we did in the gym or, you know, everything that we did during the day, um, we're just not gonna recover, um, from that in, in the same way that we would if we were getting that sleep. [S2] Is growth hormone essentially the thing that causes our sort of muscles to grow and repair? [S1] Yeah. [S2] Essentially. So- [S1] Yeah. [S2] I sometimes think this 'cause I think if I'm, sometimes in my life because I'm quite busy, I have to make the decision whether to
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[S1] go to the gym or get a great night's sleep. [S2] Yeah. [S1] And the more I've learned about growth hormone in the body and whoop and all those things, I've started to make the decision towards sleep versus going to the gym. 'Cause my brain now goes, "Well, you're not gonna get the recovery and sort of restoration anyway." [S2] Yeah, the benefits. Yeah. [S1] Yeah, the benefits of going to the gym if you're poorly slept that night.
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bilibili_data_1650386044_BV1mw41137z2_BV1mw41137z2_m4-dialogue_1004871
[S1] How consistent are you with your sleep? [S2] Um, very consistent. [S1] I heard that in 2017 you started trying to sleep within sort of 25 to 30 minutes. [S2] Mm-hmm. [S1] Um, every single day. [S2] Yep. [S1] The same sleeping window. [S2] That's right.
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bilibili_data_1650386044_BV1mw41137z2_BV1mw41137z2_m4-dialogue_1004872
[S1] flourishing. And, uh, what they found is that basically sleep-wake time predicted GPA. [S2] What's GPA for people- [S1] Which is-
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bilibili_data_1650386044_BV1mw41137z2_BV1mw41137z2_m4-dialogue_1004873
[S1] I had a little, tiny head cold that lasted for eight hours, but since then, I literally have not had a sniffle, a stomach ache. I didn't get COVID. Like, I literally have not been sick. And, you know, there, I do a lot of other things well, but that has been the single biggest change. [S2] Just sleeping and waking up at the same time. [S1] That's it. [S2] What is your routine there? How do you ensure that happens? Because
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[S1] So I go to bed, um, around, I kinda get into bed usually around 9:15, 9:30. I read for a half an hour, 45 minutes, a book, um, printed page, dim light, um, and then I fall asleep usually around 10, and then I wake up, um, like at 6, uh, 14. No, I'm just kidding. [S2] [LAUGHS]. [S1] Like around 6, [LAUGHS] around 6.
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[S1] You know, whenever I talk about these subjects, the rebuttal I get is one you might be able to predict. It's from a group of people that I can't yet relate to. [S2] Yeah. [S1] Do you know who I'm talking about? [S2] Um. [S1] Parents.
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bilibili_data_1650386044_BV1mw41137z2_BV1mw41137z2_m4-dialogue_1004876
[S1] Oh, yeah, yeah. Well, shit, I've had two, I have two kids, so- [S2] Yeah. [S1] ... I totally understand the, the whole parenting thing. So, yeah, I mean, there's no question, there are going to be times in your life where you're literally a shift worker because you're caring for a sick parent or a sick child or you just literally have kids and they're young. Um, you're a shift worker. I mean, there, there are things, um, you're making decisions to,
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bilibili_data_1650386044_BV1mw41137z2_BV1mw41137z2_m4-dialogue_1004877
[S1] Which is another kind of circadian behavior. So the timing of when you eat is, is pretty important, um, and can at least check some of the boxes in terms of its impact on, uh, metabolic functioning and, and heart health and things like that. [S2] So let's talk about that then. [S1] Mm-hmm. [S2] Meal timing. [S1] Mm-hmm. [S2] What is the, what do I need to know about when I should be eating, what I should be eating, um, and, and the implications that has on- [S1] Yeah. [S2] ... my circadian rhythm, my body clocks.
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[S1] Yeah, so it's, it's in the literature, there's time-restricted eating and there's time-restricted feeding. Um, and time-restricted feeding generally, if you're reading the literature, is gonna refer to mouse models. Time-restricted eating will refer to human, uh, studies. [S2] Mouse models being studies they did in mice. [S1] Mouse, yeah, sorry. [S2] Yeah. [S1] Uh, yeah, mice, the studies done with, with mice are just time-restricted feeding time, and, and, uh, humans would be time-restricted eating. And not to confuse this with intermittent fasting, which I know is a,
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[S1] So does that mean we should be eating, we should have sort of an earlier eating window? [S2] Yes. Yes. [S1] I, you know, Brian Johnson.
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[S1] Of course. Yeah, I know he stops eating at 11 a.m. [S2] Which is crazy. [S1] So, which is insane and not super practical, but I think if you can stop eating around when the sun sets, you'll position yourself to improve your metabolic health. And I, and I would go so far to say that, you know, regardless of what it is you're eating, 'cause a lot of folks cannot afford to, you know, eat high quality food. That's just a reality. And a lot of those folks do suffer from
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[S1] aren't gonna, if, if we, if we can't focus on that for whatever it might be, consolidating our eating window. So eating every single one of our calories between, you know, an eight to 12 hour window, we will improve our health. [S2] And what's your eating window? [S1] So I do about 10 hours. [S2] Okay. [S1] Yeah. So I definitely, I pretty much don't eat after the sun goes down. [S2] When you say the sun goes down- [S1] Mm, sunsets, yeah. [S2] Is that like 5:00 PM?
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[S1] I mean, now it's early. Yeah. So I give myself like an hour- [S2] 4 p.m. [S1] ... window. Yeah. Like for, right now it's, it's definitely early. But, um, but for the most part I can kinda get away with it based on my lifestyle. [S2] So ideally between sort of 7 a.m. and 4 p.m. [S1] Mm-hmm. [S2] And then to stop, make sure you're not eating, you know, two to three hours before you fall asleep.
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[S1] Parasympathetic activity. [S2] What does that mean? [S1] Right. So that means, so your autonomic nervous system has two branches, your parasympathetic and your, and your sympathetic. Your parasympathetic is your rest and digest, right? Um, we also wanna be in a parasympathetic state when we're sleeping. So when we are digesting food, we're basically
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[S1] Kind of confusing our system in terms of where it should apply its resources. [S2] Okay. [S1] Right? So it basically diverts resources away from, you know, the sleep and the restoration and, and that's what, you know, if you have a big meal, you'll notice your heart rate is really- [S2] Yeah. [S1] ... is a lot higher, right? And your stress score is higher, right? Some of the features on, on the Whoop app. And when you are not having to digest, you'll see your stress score is lower, you'll see your heart, your, your heart rate is lower, your heart rate variability would be higher in those situations. We want to make sure that when we're sleeping, we are not diverting any
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audio/en/bilibili_data_1650386044_BV1mw41137z2_BV1mw41137z2_m4-dialogue_1004884.mp3
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[S1] So interesting, 'cause I've always wondered. There was a, a time in my life where I routinely ate super late at night because I would work very, very hard during the day. [S2] Mm-hmm. [S1] I would basically forget to eat. I'd get home at maybe 9 or 10 at night. I would then order the food. [S2] Yeah. [S1] At 9 or 10, which means it comes at 11 or 12. [S2] Yeah. [S1] And then I'd eat at 11 or 12. [S2] Yeah. It's very stressful for your system.
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audio/en/bilibili_data_1650386044_BV1mw41137z2_BV1mw41137z2_m4-dialogue_1004885.mp3
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[S1] I would see the, the, exactly that. [S2] Yeah. [S1] In the group data, which is, I would see that my heart rate went up to about 70 beats per minute for the first three hours. It was almost like my body was, was still walking around or something. [S2] Yeah, totally. [S1] And then three or four hours in, it would start to fall again back to, I don't know, 45, 50. [S2] After you metabolized the, the food. [S1] Yeah.
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[S1] So sometimes what happens is I choose to work out first and then obviously the, it makes the meal late at night. But there's also days in my life where I end up working out, and I'm known for this, at like 11 or 12 PM at night. [S2] Wow. [S1] And, [SIGHS] there was this old train of thought that, that was a good thing to do because people would say, "Oh, you're gonna be tired when you get in bed." But that doesn't seem to be what happens. [S2] Yeah. Does it, do you feel more energized? [S1] I feel more energized.
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audio/en/bilibili_data_1650386044_BV1mw41137z2_BV1mw41137z2_m4-dialogue_1004887.mp3
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[S1] On that point of light, there's a school of thought that says you should look at lights when you wake up in the morning. My, my partner always gets up in the morning, walks out into the balcony and sits out there for 10 or 20 minutes in the morning. [S2] Oh my gosh, I love that. Yes, I love to hear that. [S1] Yeah, she's the best. It's just so annoying. She gets everything right. [S2] Oh, I love it.
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