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Speaker 1: Also media, you are bearing witness to a great becoming.

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Speaker 1: We're back.

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Speaker 2: It's better offline.

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Speaker 1: That's right. It's our second day of coverage of the

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Speaker 1: Consumer Electronics Show here in beautiful, scenic, rustic Las Vegas,

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Speaker 1: and we're here for two two hour long episodes today,

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Speaker 1: this being the first, of course, and I am, of

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Speaker 1: course your host ed Zeitron and the King of Pigs,

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Speaker 1: the Dale Cooper of podcasting. We've got an open barb,

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Speaker 1: we've got tacos and places to relax with journalists and

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Speaker 1: good lord, have we all seen some cramp. Our first

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Speaker 1: contestants are the remarkable Edward On Guaser of the Tech

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Speaker 1: Bubble newsletter ed Hello, And of course we've got ed Niedermayer,

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Speaker 1: the author, and of course he's the co host of

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Speaker 1: the autono Cast. Howdy, And we've got Gay Davis. It

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Speaker 1: could happen here. Yeah, how are you doing?

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Speaker 3: The only non ed present.

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Speaker 1: Yeah, We've got three ads and one gear and I

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Speaker 1: think that that the mathematics works there. I was at

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Speaker 1: the convention center today. I power walk through two holes

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Speaker 1: in the space of a morning. I pray for death,

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Speaker 1: but I'm going to start with the fact that I

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Speaker 1: think smart glasses are evil. I tried several ones of them,

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Speaker 1: and there was one where I put them on and

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Speaker 1: it's meant to be you meant to look at your

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Speaker 1: photos in there, you meant to listen to music and

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Speaker 1: all this, and it was blur. I just go, yeah,

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Speaker 1: it's really blurring, and go goes yeah and just looks

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Speaker 1: at me. I'm like, you know, He's like yeah, you know.

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Speaker 1: I'm like, how much is it twelve hundred dollars. I'm like,

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Speaker 1: oh great. He's like yeah, but that's with discounts, And

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Speaker 1: it's just like, who the fuck. I know that there's

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Speaker 1: the whole thing about assistive technologies that's cool nor but

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Speaker 1: it's like, who the fuck is this actually for? I'm

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Speaker 1: just kind of lost.

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Speaker 4: I had a similar feeling. There is a lot of

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Speaker 4: times I would come across assistive tact that I'd be like,

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Speaker 4: this is interesting, and then I get introduced to the

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Speaker 4: rest of the ecosystem, which itself is dubious, or there

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Speaker 4: are other there are other additions or features that don't

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Speaker 4: really seem to need to be grafted on. I mean,

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Speaker 4: I think similarly with smart glasses, you know, I feel

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Speaker 4: like the only ones I saw that I was interested

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Speaker 4: in were some that allowed you to hear better and

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Speaker 4: functioned as like a hearing aid, but then almost yeah,

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Speaker 4: it's like, you know, okay, if you if you really

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Speaker 4: don't want to wear a hearing aid, you know, if

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Speaker 4: you're really self conscious about that, even though we have

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Speaker 4: invisible on ones. But I saw these eating there's an

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Speaker 4: app and the and an ecosystem you have to get

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Speaker 4: locked into.

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Speaker 1: The worst ones I saw and I hate to chit

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Speaker 1: talk specific company. When they were is the even G

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Speaker 1: two a's and what the word you put them on

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Speaker 1: and they had like a look like the pit boy.

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Speaker 1: It was like green and black. Yeah, and I had

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Speaker 1: this ring yet to put a ring on and control them,

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Speaker 1: and the ring didn't work, like you had to like

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Speaker 1: violently smack your smack your finger like you you can't

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Speaker 1: see this, you're listening to a podcast. But I'm just

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Speaker 1: like smashing my aura ring with my thumb and it

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Speaker 1: wasn't working. And I turned to them went yeah, it's

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Speaker 1: not really working. They just went, yeah, you know, it's

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Speaker 1: just it rocks about technology. We're just like a mate,

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Speaker 1: you know, it just fucking so, I don't know, mate,

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Speaker 1: what to tell you.

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Speaker 5: But like technology is not cutting edge unless it's janky, right,

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Speaker 5: I mean that's kind of part of the deal. Like,

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Speaker 5: like cutting edge has become this term that we think

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Speaker 5: of as just like good, but really the definition of

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Speaker 5: it is that it's like not fully developed.

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Speaker 1: Yeah, and it's it used to be. Maybe I'm just

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Speaker 1: I'm having some nostalgia here. Maybe it's not true, but

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Speaker 1: it felt like about ten years ago CS you'd see

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Speaker 1: something here and then when it came out, it'd be complete.

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Speaker 1: Now it's just they release everything in alpha. Yeah, we're

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Speaker 1: living in the world that that Elon must create. I

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Speaker 1: mean wasctive, but I was literally gonna say, you're an

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Speaker 1: Elon musk head, a big a big Elons Elon stan Yeah,

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Speaker 1: and yeah he really has in the ear of just bullshit.

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Speaker 5: Yeah, Like like I mean, if we live in a

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Speaker 5: world where you can promise, you know, specifically, like your

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Speaker 5: car will be able to do level five attime, this

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Speaker 5: is like a very specifically you know, defined thing and

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Speaker 5: you can get away with We're saying end of the

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Speaker 5: year ten years in a row, which is where we're

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Speaker 5: at now, it'll be it'll actually be the tenere anniversary

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Speaker 5: in the fall. That's nice, Like these are things people

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Speaker 5: people see these things happen and they're like, well, why

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Speaker 5: not me?

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Speaker 1: Yeah, why should I fucking bother? So, Ed, you've been

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Speaker 1: on the floor. What you see today? What kind of

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Speaker 1: what kind of cramp? I mean?

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Speaker 4: I saw a lot of stuff that was uh categorized

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Speaker 4: around let's say age tech. You know. So the so

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Speaker 4: the goal here is you have AI companion bots or

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Speaker 4: chatbots that you speak to. You have smart homes and

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Speaker 4: surveillance systems that constantly log your information and give people

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Speaker 4: away from you, Yeah, insight into your home. You're generating

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Speaker 4: as much data as possible to feed into something that

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Speaker 4: can analyze it.

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Speaker 1: I saw this tech I still like a Boston Dynamics

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Speaker 1: looking ass dog right boat thing, and it was by

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Speaker 1: this very I think you should leave style thing of

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Speaker 1: like a guy you'd fallen out of a hospital bed.

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Speaker 1: I'm gonna pull this up just so you can see this.

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Speaker 1: So if you like, this guy has fallen out of

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Speaker 1: his bed and the dog is just looking at him,

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Speaker 1: and it says, de cloak brain, He's just just lying

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Speaker 1: on the floor. Now, I get that there's probably a

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Speaker 1: reason like this, but are you saying that every hospital

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Speaker 1: is just gonna be stalked by Boston Dynamics stocks going, yes,

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Speaker 1: he's dead, he's fallen out of it. Is that cheaper

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Speaker 1: than a person? I am? So?

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Speaker 5: Is this is this being aimed at hospitals or is

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Speaker 5: that like costs?

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Speaker 1: It was not clear because there were tons of other

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Speaker 1: use cases as well that were very vague, like old person,

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Speaker 1: a neighborhood. Watch, what's that dog gonna do to me?

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Speaker 1: I'll kick it so hard it flies, Yeah, well I'll

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Speaker 1: send it to hell. Yeah.

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Speaker 5: I mean, like the whole thing of selling robots to

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Speaker 5: consumers is really interesting because you know, all of the

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Speaker 5: successful robots that that exist really are are not consumer facing.

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Speaker 5: They exist in factories, these very like controlled environments. They

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Speaker 5: do the same task over and over and over again.

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Speaker 1: We know how to make straight forward right, yeah.

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Speaker 5: Exactly, And like a human home is not, you know,

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Speaker 5: a constraint. I mean it's constrained, right, but like a

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Speaker 5: lot of random stuff happens, they're relative to say a factory,

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Speaker 5: and like a rumba is something that you can kind

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Speaker 5: of work if all your floors are perfectly flat and

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Speaker 5: you don't have transitions, and you know, but even that,

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Speaker 5: like that's a successful product class relatively speaking, and it's

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Speaker 5: really the only one in in consumer facing robots and

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Speaker 5: actually a robot went went under, So.

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Speaker 4: Right, why do you think why is there this constant

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Speaker 4: term to reinvented or to reh you know, rediscover this

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Speaker 4: path that ends and that goes down to dead end.

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Speaker 5: So well, so I think what the reason the reason

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Speaker 5: that that robots are being sold to consumers is because

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Speaker 5: they know that consumers don't understand them. I think, you know,

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Speaker 5: you mentioned all this age tech like selling sophisticated data

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Speaker 5: driven technology to old people. Why do you do that? Yes,

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Speaker 5: there there are some needs there, but also you know,

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Speaker 5: wealthy people will will buy it without really thinking too

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Speaker 5: too hard about it.

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Speaker 4: Yeah, when I talked with them, they were you know,

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Speaker 4: with a lot of these firms, they're like, well, actually

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Speaker 4: it's supposed to only be sold to like nursing homes

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Speaker 4: and larger business U. But yeah, sometimes people buy them

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Speaker 4: individually because they're really concerned about their family members. So

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Speaker 4: I think, so, yeah, that's similar dynamic where it's like,

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Speaker 4: you know, if you know it, and also if you

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Speaker 4: want to take advantage of you probably just can't buy

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Speaker 4: one for your you know, for your home. For your grandparent.

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Speaker 1: Okay, did you see any robots, any anything robotic tap?

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Speaker 6: I walked past the robot that you showed. But I've

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Speaker 6: not really been looking for products and show floor but

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Speaker 6: mostly been going back and forth to panels and keynotes.

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Speaker 1: What'd you say? Tell me about some panels?

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Speaker 6: I went to the like the ct A is a

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Speaker 6: super technology association.

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Speaker 1: Sure, I'm a professional. And I also don't know.

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Speaker 3: I know, I know who runs this convention.

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Speaker 4: I went.

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Speaker 3: I went to their keynote this morning, and they.

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Speaker 6: Brought on like a few like CEOs from other other

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Speaker 6: other companies, like they had They had Navidia guy on

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Speaker 6: at the end.

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Speaker 1: What he's anything interesting or is it just like a

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Speaker 1: lot of woods Low? No, he was.

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Speaker 6: He was talking with the CEO of I'm going to

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Speaker 6: say Siemens. Yeah, yeah, yeah, I And they were talking

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Speaker 6: about like digital, uh, the use of digital trends and

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Speaker 6: manufacturing for like like these large these large like the

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Speaker 6: complex simulations.

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Speaker 4: Yeah.

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Speaker 3: So they talked a bit.

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Speaker 6: They were also talking a lot about the movement towards

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Speaker 6: quantum how this is this is, this is the next thing,

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Speaker 6: because we're kind of getting tired with the AI stuff, right,

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Speaker 6: So quantum is where they're going to be moving to,

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Speaker 6: like the new hype thing. I'm guessing next CES we're

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Speaker 6: going to see a lot more quantum stuff. But they

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Speaker 6: have this CEES Foundry event space to set up specifically

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Speaker 6: about merging AI and quantum and then that opens on Wednesday,

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Speaker 6: so we're gonna have to check that out. But no,

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Speaker 6: they they did mention smart glasses during the ye One

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Speaker 6: of the few one of the few products that the

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Speaker 6: actual like the CEES like guy like Gary I think

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Speaker 6: is the name who like actually mentioned was a persona

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Speaker 6: smart glasses for tutoring. And like I've tried on smart

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Speaker 6: glasses at this show before, I haven't tried not this

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Speaker 6: year yet. Like the auto translation ones were always kind

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Speaker 6: of interesting.

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Speaker 1: Those ones always seem like useful, but it's like you

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Speaker 1: never really fucking see them in real life.

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Speaker 6: They're very limited. You don't see them in real life.

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Speaker 6: They're usually the resolution is pretty low. These things are

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Speaker 6: gonna get better over time. But there was another CEO

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Speaker 6: that they they brought on and I apologize I can't

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Speaker 6: remember his name, but it was during the first keynote

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Speaker 6: Tuesday morning, and talking a lot about how wearable tech

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Speaker 6: is gonna make a big is gonna make a big

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Speaker 6: comeback because all of these wearables are now smart enabled

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Speaker 6: and you're gonna have the AI in your ring, in

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Speaker 6: your glasses, in everything you're you're wearing your watch, these

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Speaker 6: you're gonna start learning more about your life and those

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Speaker 6: AIS are gonna learn about how the real world actually works,

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Speaker 6: which allows them to be smarter and more useful and

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Speaker 6: help us out in a whole bunch of new ways.

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Speaker 6: And so they were talking about how, like you know,

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Speaker 6: fit bit first was the cees like you know, a

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Speaker 6: thing years ago, and wearables since then, you know, some success,

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Speaker 6: but have kind of kind of become has kind of

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Speaker 6: been more gimmicky. And they're talking about how wearables are

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Speaker 6: gonna become like a major, major, a major thing now

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Speaker 6: with with that's with the smart enabled stuff, right, But yeah,

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Speaker 6: and it's the other thing that both both Gary, the

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Speaker 6: the CTA guy and the and the Semens guy reiterated

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Speaker 6: on a lot was like electricity defined the last last generation,

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Speaker 6: that fucking AI will illuminate the next.

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Speaker 3: And this was this was I've heard this a lot

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Speaker 3: this morning.

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Speaker 1: So electricity defined the lost generations.

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Speaker 6: Like like like the lastic century, like the last hundred years,

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Speaker 6: like innovation was was was because of technic electricity. This

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Speaker 6: was this was like the thing, right, the next thing

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Speaker 6: is is AI And the coolest thing happened during during

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Speaker 6: this the Semens opening keynote where he was like, you know,

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Speaker 6: one hundred and twenty or however many years ago, there

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Speaker 6: was no electricity and then all the lights in the

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Speaker 6: convention center like turned off like for for the for

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Speaker 6: the show. Everything went black, including they didn't think about this,

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Speaker 6: including the telepropters.

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Speaker 3: So it was this like real, like big dramatic. It

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Speaker 3: was this big dramatic moment.

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Speaker 6: And like and then he like paused for like thirty

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Speaker 6: seconds because he didn't know what to say next, and

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Speaker 6: someone ran on stage with a binder of his script

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Speaker 6: so he could read the paper as he introduced how

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Speaker 6: electricity like entered the world and like illuminated everything. And

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Speaker 6: then the lights came back on and it was just this,

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Speaker 6: It was this beautiful CES moment.

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Speaker 1: See, I would have just if I was there with you,

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Speaker 1: I would have been like, quick, I'm gonna lie on

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Speaker 1: the ground. I need you to scream at the top

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Speaker 1: of your lungs. He's dead, he's been murdered. Who did

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Speaker 1: this locked the doors. There's a murder. That's that's really

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Speaker 1: good though, And no one thought this through. Yeah, it

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Speaker 1: wasn't even remember the fucking fifteen words he needed to.

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Speaker 1: He's I just and I love I love that.

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Speaker 5: It also just proved that, right that, like electricity is

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Speaker 5: still actually quite important. It's very important. Also, the AI

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Speaker 5: is gonna keep as.

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Speaker 3: Useful as all these AI things are. Sometimes you need

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Speaker 3: a binder with paper on it.

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Speaker 1: Also, I just can't cannot remember what you have to

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Speaker 1: say next. It's not like it's not like you was

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Speaker 1: saying anything that matted. It's just you. He went on.

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Speaker 1: Electricity defined the next generation AI will.

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Speaker 3: This is the industrial AI revolution ed.

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Speaker 4: Uh huh, physical AI, right, he.

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Speaker 6: Said that that's what there is is like a mobiles.

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Speaker 6: This is one of the interesting things though. Actually I'm

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Speaker 6: seeing is beyond beyond like the you know, lofty things

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Speaker 6: about quantum We are seeing I think a movement back

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Speaker 6: towards the material in the way that AI is being

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Speaker 6: talked about here, because like the past two years, AIS

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Speaker 6: was what was much much more speculative. Now that in

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Speaker 6: some ways they kind of had this cultural dominance. You use,

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Speaker 6: you have this emphasis on like manufacturing and this is

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Speaker 6: something that like the CTA guys like I talked about

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Speaker 6: during their keen out, is like this for the first

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Speaker 6: for the first time in a few years, we're really

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Speaker 6: emphasizing like the manufacturing side of things and trying to

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Speaker 6: like bring this these like lofty AI things pretty down

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Speaker 6: to earth on like house is actually gonna help on

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Speaker 6: like like industrial like these.

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Speaker 1: Cases and could they explain an, well.

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Speaker 6: See that's the beautiful thing about c Yes, that's something

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Speaker 6: that we get to all discover together throughout this WEEKND.

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Speaker 1: And that's just the this world model ship, the.

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Speaker 6: Digital twins thing that that that's that's really like, that's

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Speaker 6: really what they were talking about specifically with like the

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Speaker 6: Navidia and Siemens, like a conversation between their two guys

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Speaker 6: specifically about the digital what is.

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Speaker 4: Spurring the is spurring the interest in world models, this

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Speaker 4: idea that Okay, there are limits to LMS, even if

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Speaker 4: we are a savior are fanatics and we think it's

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Speaker 4: going to save the world, we need to find another

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Speaker 4: way to embody it without embodying. Yeah.

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Speaker 5: Essentially, so Yan Lacun's whole thing is is like yeah,

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Speaker 5: like language is not like sufficient to create real general intelligence.

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Speaker 5: Like the whole thing is animated by the idea that

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Speaker 5: a GI is is a thing that we can achieve

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Speaker 5: and and and that basically lms have proven that like

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Speaker 5: language alone can can create a like a similar acrium

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Speaker 5: of intelligence up to a certain point, but like child

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Speaker 5: understand and the world around it, which is not just

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Speaker 5: made up of language.

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Speaker 4: It's so interesting that in the response to being like, oh,

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Speaker 4: we reached all these milestones that we thought would open

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Speaker 4: up the doors, the solution isn't that we raga, we

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Speaker 4: need to radically rethink, and it's like, actually, we need to.

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Speaker 4: We just need a little bit more juice.

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Speaker 1: Well, here's the thing. I think this world model bullshit.

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Speaker 1: In the digital I've been hearing so great thing about

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Speaker 1: running pr from in texcause you hear a lot of

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Speaker 1: terms repeatedly. I've had world models for ten years. I've

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Speaker 1: heard sorry, not world models. Digital twins. Digital twins was

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Speaker 1: like and like it was a simulation thing kind of yeah,

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Speaker 1: But then then during the metaverse time, it was just like,

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Speaker 1: it's a space that's the same. World models are just

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Speaker 1: they're a scam. Like I just like faith a Lee.

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Speaker 1: Everyone talks very fondly about her spatial intelligence and all that. Well,

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Speaker 1: the fuck it, Like, where's her product, where's the thing

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Speaker 1: she's done? Because World Models the reason they're pushing these

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Speaker 1: in digital twins is because it's another use for GPOs.

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Speaker 1: Was talking to an analyst.

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Speaker 3: Oh yeah, that's that's in the video.

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Speaker 1: Was on stage. Please God, keep buying the GPUs, please God.

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Speaker 1: And Jensen one needs another leather shiny.

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Speaker 3: It was so shin.

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Speaker 6: So he had the shiny and it was firm skills,

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Speaker 6: Yeah it was.

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Speaker 3: It was the skilly one.

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Speaker 5: It was.

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Speaker 3: It was very hard looking.

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Speaker 1: Yeah, it's yeah. It's just very sad as well, because

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Speaker 1: they're not saying that though, because with with other lambs,

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Speaker 1: they're like GPUs, we need more of these, we need

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Speaker 1: more power. With world models, they're just like digital twin

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Speaker 1: copy simulation. And then the Information mentioned this. Yes, they

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Speaker 1: put out a story saying that M Video's omniverse software.

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Speaker 1: Yeah I love saying it. That it was not making

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Speaker 1: much money and they had to shut down the cloud

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Speaker 1: because nobody wanted it and the software sucked, and it's

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Speaker 1: just like they're running, they're out of ideas, but they're

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Speaker 1: just getting up. It's like watching a pair of parents

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Speaker 1: stay together for the kids. Like, yeah, we all love

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Speaker 1: world models. Digital twins. Yeah, that's those are good, right,

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Speaker 1: we both know what this means. Yeah, we could model

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Speaker 1: a warehouse, couldn't we miss the same And.

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Speaker 6: They modeled an HD HUNTI shipyard.

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Speaker 5: Yeah. So in the auto industry end is microft.

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Speaker 3: Every nutt and bolt.

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Speaker 5: Yeah, but like this is not the problem is is

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Speaker 5: that is that these digital twins for manufacturing, like you

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Speaker 5: only there's only so much demand for it exactly right,

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Speaker 5: Like when you design a factory, like that's a big

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Speaker 5: effort and you take one and then you usually you know,

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Speaker 5: reproduce it, and so you're not doing that design like

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Speaker 5: a bunch, right. You want to get it right the

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Speaker 5: first time because the tooling is.

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Speaker 1: But they say to answer actually a question, you aren't

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Speaker 1: with robots, that what their thing is. And they kind

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Speaker 1: of showed it with the Nvidia Press yesterday where it's like, oh,

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Speaker 1: you could put the robot in the digital simulation and

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Speaker 1: then you could do that, and then they stop talking.

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Speaker 1: They just stop describing because they're like, and then the

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Speaker 1: robot will be smart and able to deal with the

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Speaker 1: real world. They don't really seem to link those two

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Speaker 1: things together so precisely though they talked a.

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Speaker 6: Little bit about that specifically for the manufacturing though, and

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Speaker 6: being one of the uses for the for the digital

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Speaker 6: twins stuff is that, and and even putting AI in

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Speaker 6: all the wearables, and once they have enough data both

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Speaker 6: in the digital manufacturing, the as will know how to

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Speaker 6: do it enough that we can make them run all

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Speaker 6: physical manufacturing. And you have AIS building robots, who are

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Speaker 6: building robots and like all all of that. That's sort

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Speaker 6: of like automation stuff, right, is kind of how they

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Speaker 6: referred to it, but it wasn't something that they like emphasized.

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Speaker 4: Also to your point, I hadn't thought about this until

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Speaker 4: you said it, But yeah, what is actually the composition

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Speaker 4: of demand going to look like? Where it's like, yeah,

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Speaker 4: I actually just need to do it once because these

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Speaker 4: are highly like I need to know how to my

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Speaker 4: robot should operate in this specific circumstance. I need to

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Speaker 4: know what the factory looks like, and then after that

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Speaker 4: I'll just copy and past it. Why should I use

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Speaker 4: the software more than.

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Speaker 1: But that's actually a good point, Like what happens when

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Speaker 1: you program the road? Surely once the robots done, bam,

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Speaker 1: programmed did they have.

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Speaker 5: So that's that's the whole point with with with the

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Speaker 5: humanoid thing. The whole idea behind the humanoid thing is

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Speaker 5: that you create a physical embodiment that that has the

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Speaker 5: versatility that a human body has, and then you can

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Speaker 5: continuously evolve the software for it so that it can

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Speaker 5: eventually do anything. Really in a lot of ways, it's

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Speaker 5: it's a way to write, like you know, with LLMS,

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Speaker 5: people find the limits of what right, the hall hallucinations,

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Speaker 5: the unreliability, all those problems. This is a way of

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Speaker 5: sort of repackaging the dream of universal capability. But like

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Speaker 5: in this physical.

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Speaker 1: Form, it's a dream though, it's it's a dream.

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Speaker 5: Yeah, general general robotics is not a thing. Generalized robotics

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Speaker 5: is a big talking point right now, and like robots

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Speaker 5: are getting more generally capable.

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Speaker 3: But like people again, you know, that's how they're talking

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Speaker 3: about it.

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Speaker 6: It's like how do you how do you get like

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Speaker 6: AI driven innovation? Like how how can AI like find

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Speaker 6: new solutions that we wouldn't think of without the hallucination problem?

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Speaker 6: And specifically using these models are like if when when

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Speaker 6: when these models run long enough, they'll be able to

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Speaker 6: improve how these like factories are shipyards function in ways

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Speaker 6: that LMS simply like can't as adjust to language models.

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Speaker 1: It always seems like it's just they will like it's

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Speaker 1: there because I feel like we've heard this robot just

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Speaker 1: a twin thing for a while. I feel like we've

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Speaker 1: heard about robots. Everyone's shifting to robots now. Even China

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Speaker 1: just actually was Hong Kong, Mate, is the Hong Kong

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Speaker 1: How Yeah? I know, just yeah, I'm gonna get killed

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Speaker 1: by someone. No, they just delayed a robot ipo ing

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Speaker 1: over there because there's a bubble growing. The ship hasn't

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Speaker 1: even launched, and they're like, yeah, mate, were already at

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Speaker 1: a bubble. We speed around this one. Motherfucker. I just

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Speaker 1: think I saw the LG robot and they wouldn't they

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Speaker 1: didn't have the demo ready, And they showed this video

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Speaker 1: of this woman being like, hey, robot, how are you doing?

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Speaker 1: Because I'm great, you should work out. It was just

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Speaker 1: and it was like thank you, thank you, Glaubo or

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Speaker 1: whatever it was called.

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Speaker 2: No, No, it was funny.

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Speaker 1: It was like it walked over with like two pound

430
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Speaker 1: dumbbells and it was like, yeah, you should do see

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Speaker 1: these lately. Yeah, it was close and she was like, oh,

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Speaker 1: if I didn't have you, I just laying around all day.

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Speaker 6: Should I order more laze potato chips for you?

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Speaker 1: You? Oh hog, you look new, sweaty hog, Get up

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Speaker 1: off your app And then it was doing the squats

436
00:19:59,800 --> 00:20:02,879
Speaker 1: with it was like a little bit more depth and

437
00:20:02,920 --> 00:20:07,480
Speaker 1: it's just I swear there is regulation against lying like that,

438
00:20:07,560 --> 00:20:10,840
Speaker 1: and LG is a public company, but it's just what

439
00:20:10,880 --> 00:20:13,200
Speaker 1: the fuck are you do? Like when is this thing

440
00:20:13,280 --> 00:20:13,920
Speaker 1: kind of come out?

441
00:20:13,960 --> 00:20:15,879
Speaker 4: What is the plan with it? And also it's a

442
00:20:15,880 --> 00:20:16,800
Speaker 4: forward looking vision.

443
00:20:16,920 --> 00:20:19,719
Speaker 1: It's it's what we talk about Yesterday's like who the

444
00:20:19,760 --> 00:20:22,520
Speaker 1: fuck actually needs this? If I had a robot walk

445
00:20:22,600 --> 00:20:24,480
Speaker 1: up to me in my house and go, you need

446
00:20:24,520 --> 00:20:26,760
Speaker 1: to lift some weights, I beat the ever living shit

447
00:20:26,880 --> 00:20:28,720
Speaker 1: out of it. I'm not a violent person, but if

448
00:20:28,760 --> 00:20:31,080
Speaker 1: like a machine decided to impose its will upon me

449
00:20:31,640 --> 00:20:36,560
Speaker 1: with pathetic two pound dumbbells, I'm at fives and just yeah,

450
00:20:36,640 --> 00:20:38,560
Speaker 1: it was so strange. And I tried to talk to

451
00:20:38,600 --> 00:20:41,000
Speaker 1: someone over there about it and they didn't really have

452
00:20:41,040 --> 00:20:42,760
Speaker 1: any answers, and they couldn't even tell me when the

453
00:20:42,800 --> 00:20:45,520
Speaker 1: demo would start. Very sad well, I.

454
00:20:45,440 --> 00:20:47,600
Speaker 5: Mean, I don't think it's a coincidence that like the

455
00:20:47,680 --> 00:20:51,120
Speaker 5: leading sort of seller of right again, Elon Musk with optimists,

456
00:20:51,160 --> 00:20:54,439
Speaker 5: like as a South African and a racist, and like

457
00:20:54,520 --> 00:20:57,920
Speaker 5: he's selling the idea of slavery, Like like that's that's

458
00:20:57,960 --> 00:21:00,280
Speaker 5: literally the vision, right, It's that that we create these things,

459
00:21:00,400 --> 00:21:02,720
Speaker 5: the software evolves to the point where it's human. It's

460
00:21:02,800 --> 00:21:05,479
Speaker 5: essentially a mechanical human and it just does everything for

461
00:21:05,600 --> 00:21:08,040
Speaker 5: us and it transforms our economy and everything, and like

462
00:21:08,080 --> 00:21:10,480
Speaker 5: it's like you are just this is this is slavery.

463
00:21:10,760 --> 00:21:13,320
Speaker 5: I wonder how much of sort of the political tides

464
00:21:13,359 --> 00:21:15,439
Speaker 5: that are happening right now or are sort of are

465
00:21:15,480 --> 00:21:16,159
Speaker 5: sort of hided to this.

466
00:21:16,359 --> 00:21:18,600
Speaker 1: I feel like, what with the AGI conversation, no one

467
00:21:18,640 --> 00:21:20,000
Speaker 1: ever wants to talk about the fact that it is

468
00:21:20,040 --> 00:21:20,760
Speaker 1: just slavery.

469
00:21:20,920 --> 00:21:23,480
Speaker 3: It's like what if we had except they're not people?

470
00:21:23,720 --> 00:21:25,960
Speaker 6: Yeah exactly, I mean I will, I'll be like yeah,

471
00:21:25,960 --> 00:21:27,400
Speaker 6: but like they are people though.

472
00:21:27,320 --> 00:21:30,080
Speaker 1: Yeah no, It's like if you make a conscious being,

473
00:21:30,440 --> 00:21:32,560
Speaker 1: well yeah, but it's not conscious. But if they made

474
00:21:32,560 --> 00:21:35,719
Speaker 1: a conscious being with AI, event eventually they can't do it.

475
00:21:35,880 --> 00:21:38,400
Speaker 1: But if you ever mentioned this to a GI people

476
00:21:38,440 --> 00:21:40,480
Speaker 1: that get really upsex like it's not slavery. I'm like,

477
00:21:40,520 --> 00:21:42,560
Speaker 1: you trapped a conscious being and bent it to your will?

478
00:21:42,600 --> 00:21:44,400
Speaker 1: What do you what would you call that? And they're

479
00:21:44,440 --> 00:21:48,000
Speaker 1: like computer and but with robots, I just think that

480
00:21:48,040 --> 00:21:49,639
Speaker 1: they're just starting shit at the wall. They're just like

481
00:21:49,720 --> 00:21:52,359
Speaker 1: I guess because the actual robot you'd want is something

482
00:21:52,400 --> 00:21:56,119
Speaker 1: that can handle anything, which is an impossible idea. And

483
00:21:56,160 --> 00:21:59,000
Speaker 1: also I will train it to be articulate and competent

484
00:21:59,040 --> 00:22:01,639
Speaker 1: like a human. Have you met more than one person?

485
00:22:01,880 --> 00:22:05,600
Speaker 1: Because people vary in their abilities to do stuff humanoid

486
00:22:05,640 --> 00:22:08,720
Speaker 1: the humanoid form is also not particularly efficient for the

487
00:22:08,800 --> 00:22:09,520
Speaker 1: every task.

488
00:22:09,800 --> 00:22:11,879
Speaker 5: No, and like creating a human I mean, like the

489
00:22:11,920 --> 00:22:14,080
Speaker 5: engineering of a human hands, which is where we get

490
00:22:14,119 --> 00:22:17,080
Speaker 5: a lot of our versatility from, is like absolutely insane.

491
00:22:17,119 --> 00:22:19,679
Speaker 1: Well, I mean I have a coordination disability dyspraxia. And

492
00:22:19,680 --> 00:22:21,879
Speaker 1: it's like, yeah, I don't know if you're doing a

493
00:22:21,920 --> 00:22:24,560
Speaker 1: bunch of training data, which they are like, oh, that's

494
00:22:24,560 --> 00:22:27,000
Speaker 1: how we're gonna do it. Training data. Great. Are you

495
00:22:27,000 --> 00:22:29,320
Speaker 1: gonna make what's a perfect human? Are you gonna get

496
00:22:29,359 --> 00:22:30,560
Speaker 1: like eugenics level data?

497
00:22:30,600 --> 00:22:31,080
Speaker 4: Like what the fuck?

498
00:22:31,240 --> 00:22:32,639
Speaker 1: How do you get perfect day? Or are you going

499
00:22:32,720 --> 00:22:34,600
Speaker 1: to get very day? Or what is good data, and

500
00:22:34,640 --> 00:22:37,479
Speaker 1: no one ever asks these questions at the panels, and

501
00:22:37,520 --> 00:22:39,520
Speaker 1: no one ever gives an answer anyway, I.

502
00:22:39,440 --> 00:22:41,200
Speaker 5: Think I think the way to think about like the

503
00:22:41,240 --> 00:22:44,800
Speaker 5: consumer market or like the attempt to develop a consumer

504
00:22:44,840 --> 00:22:47,960
Speaker 5: market for humanoid but other other robots in general is

505
00:22:48,040 --> 00:22:51,359
Speaker 5: like slop because like it the whole thing with ro

506
00:22:51,920 --> 00:22:54,800
Speaker 5: it's really hard to sell a robot to a car company.

507
00:22:54,840 --> 00:22:56,600
Speaker 5: Like I went to Toyota and I went to the

508
00:22:56,600 --> 00:22:58,359
Speaker 5: place where they test all of their robotics. There is

509
00:22:58,359 --> 00:23:01,080
Speaker 5: a few years ago now, but like they're like, yeah,

510
00:23:01,080 --> 00:23:02,600
Speaker 5: we buy every time a company comes out with a

511
00:23:02,600 --> 00:23:05,320
Speaker 5: new robot whatever, almost any kind, like we test the

512
00:23:05,359 --> 00:23:07,760
Speaker 5: shit out of it. Yeah. And the thing is is

513
00:23:07,800 --> 00:23:09,879
Speaker 5: that they think and I'm just like, like, how many

514
00:23:09,960 --> 00:23:12,000
Speaker 5: robusts you adopt? They're like, well, not that many, really,

515
00:23:12,359 --> 00:23:14,520
Speaker 5: I said why? And there's like, well, once you start

516
00:23:14,560 --> 00:23:18,280
Speaker 5: a car factory operating, if something breaks down, one piece

517
00:23:18,320 --> 00:23:19,960
Speaker 5: breaks down, like the whole thing just stops all of

518
00:23:19,960 --> 00:23:22,280
Speaker 5: a sudden, you're burning like millions of dollars a second,

519
00:23:22,880 --> 00:23:24,479
Speaker 5: and then you have to fly someone from the other

520
00:23:24,520 --> 00:23:27,560
Speaker 5: side of the word. So like robustness, to get value

521
00:23:27,560 --> 00:23:30,520
Speaker 5: out of automation, it has to be really really robust,

522
00:23:30,640 --> 00:23:33,560
Speaker 5: and you know that's why it's really hard to sell

523
00:23:33,600 --> 00:23:35,439
Speaker 5: this stuff to companies is because they don't want to

524
00:23:35,440 --> 00:23:37,000
Speaker 5: come depending on something that's just going to break down

525
00:23:37,040 --> 00:23:39,600
Speaker 5: and then they can't operate for like days. With a consumer,

526
00:23:40,040 --> 00:23:42,080
Speaker 5: you can sell them slop because if part of it

527
00:23:42,119 --> 00:23:45,359
Speaker 5: is the spectacle, the prestige. I'm an early adopter. I

528
00:23:45,359 --> 00:23:47,320
Speaker 5: have the new tech thing, the fact that it's jinking,

529
00:23:47,400 --> 00:23:50,199
Speaker 5: it doesn't work. This is exactly what's happening with Tesla autopilot.

530
00:23:50,400 --> 00:23:52,959
Speaker 5: It's something that looks self driving and has this pristide,

531
00:23:53,000 --> 00:23:56,640
Speaker 5: but it doesn't actually deliver the robustness and safety that

532
00:23:57,000 --> 00:23:58,480
Speaker 5: you know you need to like take a nap in

533
00:23:58,480 --> 00:23:58,960
Speaker 5: the backseat.

534
00:23:59,040 --> 00:24:01,400
Speaker 6: This is the real, the real tension of the consumer

535
00:24:01,440 --> 00:24:04,240
Speaker 6: electronics showcase because you have half of it trying to

536
00:24:04,280 --> 00:24:07,560
Speaker 6: be directed you know, for for industries, right, a lot

537
00:24:07,560 --> 00:24:10,200
Speaker 6: of these lot of like you know, AI automation stuff

538
00:24:10,280 --> 00:24:13,640
Speaker 6: is like for manufacturing, but it's it's the other side

539
00:24:13,720 --> 00:24:16,119
Speaker 6: is the consumer electronics part where they're selling kind of

540
00:24:16,359 --> 00:24:18,680
Speaker 6: kind of janki things that don't work to a little

541
00:24:18,680 --> 00:24:20,800
Speaker 6: bit like gullible people or people who want to believe

542
00:24:20,800 --> 00:24:23,080
Speaker 6: in this, like Jetson's vision, and you have both these

543
00:24:23,119 --> 00:24:26,040
Speaker 6: things kind of working in tandem, and when they rub

544
00:24:26,080 --> 00:24:27,919
Speaker 6: up against each other, it creates these like these like

545
00:24:28,040 --> 00:24:29,920
Speaker 6: cognitive frictions.

546
00:24:30,040 --> 00:24:32,679
Speaker 4: Yeah. One thing that's also been interesting this year and

547
00:24:32,760 --> 00:24:35,680
Speaker 4: last is seeing the stuff that would not be able

548
00:24:35,720 --> 00:24:39,960
Speaker 4: to snap past the sniff test for business to business

549
00:24:40,200 --> 00:24:44,080
Speaker 4: or even regulatory oversight that is sold to consumers with

550
00:24:44,240 --> 00:24:47,200
Speaker 4: almost you know, like we're getting up to the edge

551
00:24:47,200 --> 00:24:49,040
Speaker 4: of what might be a therenose in the sense that

552
00:24:49,040 --> 00:24:53,240
Speaker 4: they're saying, Okay, with digital information, we can approach the

553
00:24:53,280 --> 00:24:56,479
Speaker 4: limits of what's physically impossible and deliver that to you

554
00:24:56,520 --> 00:24:58,239
Speaker 4: with a little bit of analytics, with a little bit

555
00:24:58,240 --> 00:25:02,240
Speaker 4: of artificial intelligence, instead of relying on really sophisticated technology

556
00:25:02,280 --> 00:25:04,760
Speaker 4: that are biomedical tech that we just don't have.

557
00:25:04,880 --> 00:25:07,200
Speaker 1: I just think it's funny though, because if the robots

558
00:25:07,200 --> 00:25:09,720
Speaker 1: did what they said it they did, it'd be kind

559
00:25:09,720 --> 00:25:11,840
Speaker 1: of cool. I'd love a robot butler. I think I

560
00:25:11,840 --> 00:25:13,480
Speaker 1: think we can all agree. I just want to robe

561
00:25:13,480 --> 00:25:15,119
Speaker 1: what that brings me a diet coke and be honest,

562
00:25:15,200 --> 00:25:16,000
Speaker 1: but like.

563
00:25:16,880 --> 00:25:18,160
Speaker 3: You could have a regular butler.

564
00:25:18,560 --> 00:25:21,639
Speaker 1: I don't want to, like, like that's the thing we

565
00:25:21,760 --> 00:25:23,919
Speaker 1: get into the AGI conversation. I just want to I

566
00:25:24,000 --> 00:25:26,800
Speaker 1: just want to wrote, But even then it's like it's

567
00:25:26,840 --> 00:25:27,240
Speaker 1: even an.

568
00:25:27,160 --> 00:25:29,720
Speaker 3: Aristonta black butler.

569
00:25:29,720 --> 00:25:32,640
Speaker 1: Not that. Oh no, I have actually seen black butler. Yeah, yeah,

570
00:25:32,720 --> 00:25:34,680
Speaker 1: I would love you know what, a butler that would

571
00:25:34,720 --> 00:25:36,399
Speaker 1: kill people for being people out for me, that'd be

572
00:25:36,480 --> 00:25:39,000
Speaker 1: fucking sick. Yeah, and specially didn't expect me to have

573
00:25:39,040 --> 00:25:43,080
Speaker 1: seen black butler. I think we baby, But this is

574
00:25:43,119 --> 00:25:45,000
Speaker 1: the thing as well. It's like, even though I'm like

575
00:25:45,119 --> 00:25:47,480
Speaker 1: joking and oh that'll be fun, it's like not really,

576
00:25:47,680 --> 00:25:49,240
Speaker 1: I can get I can get off my arse and

577
00:25:49,240 --> 00:25:51,560
Speaker 1: grab it that. Oh no, I've got a vacuum. It

578
00:25:51,600 --> 00:25:52,879
Speaker 1: will take me fucking five minutes.

579
00:25:52,960 --> 00:25:53,560
Speaker 5: Is not that bad.

580
00:25:53,840 --> 00:25:55,240
Speaker 4: There's something I was seeing on the floor. It felt

581
00:25:55,280 --> 00:25:58,160
Speaker 4: like a lot of use cases that people were offering

582
00:25:58,200 --> 00:26:02,040
Speaker 4: for agents were actually oh you know, it was just

583
00:26:02,200 --> 00:26:06,399
Speaker 4: like convenience via a chat thought interface. You know, we

584
00:26:06,480 --> 00:26:08,879
Speaker 4: talk to people. They'd be like, this is ai agentic cooking,

585
00:26:08,920 --> 00:26:11,520
Speaker 4: and it's like, what's the part of it? Not you,

586
00:26:11,640 --> 00:26:13,600
Speaker 4: but I know that's what I said. You know, I

587
00:26:13,640 --> 00:26:15,800
Speaker 4: was like, what's the agentic part? And they're like, oh, well,

588
00:26:16,200 --> 00:26:18,000
Speaker 4: like it had you know, there's a camera inside and

589
00:26:18,000 --> 00:26:19,560
Speaker 4: it can see what food you have there, and then

590
00:26:19,760 --> 00:26:21,320
Speaker 4: you have a list of recipes. I'm like, that's not

591
00:26:21,359 --> 00:26:23,560
Speaker 4: an agent, but worried. Okay, Uh, you know we have

592
00:26:23,640 --> 00:26:25,800
Speaker 4: other agents that are saying we do you know, agentic

593
00:26:26,200 --> 00:26:28,239
Speaker 4: health analysis. And it's like, what's the agent part. Well,

594
00:26:28,240 --> 00:26:30,360
Speaker 4: it's like, well, you can talk to it about different things.

595
00:26:30,480 --> 00:26:33,360
Speaker 6: It's like, oh, that's not the I will I will

596
00:26:33,359 --> 00:26:35,560
Speaker 6: not be happy until there's an AI in my vitamics

597
00:26:35,600 --> 00:26:37,439
Speaker 6: that tells me how to make this movie, what this

598
00:26:37,440 --> 00:26:38,240
Speaker 6: mooth is gonna.

599
00:26:38,000 --> 00:26:40,399
Speaker 3: Do to my body? Yeah, and what ingredients I need

600
00:26:40,400 --> 00:26:40,840
Speaker 3: to get from I.

601
00:26:40,840 --> 00:26:43,200
Speaker 1: Need a robot to tell me I'm fat. I saw this.

602
00:26:43,359 --> 00:26:44,880
Speaker 1: My mind doesn't do that already.

603
00:26:45,040 --> 00:26:48,000
Speaker 4: So one of my mortal enemies, well or recent mort enemies,

604
00:26:48,000 --> 00:26:50,760
Speaker 4: it's you know, the makers is the omnipod and what's

605
00:26:50,800 --> 00:26:51,480
Speaker 4: the omni pod?

606
00:26:51,600 --> 00:26:51,719
Speaker 1: Uh?

607
00:26:51,880 --> 00:26:55,119
Speaker 4: It's it's for it's a diabetes piece of a wearable

608
00:26:55,200 --> 00:27:00,600
Speaker 4: tech that you know pomp uh yeah, insulin. And they

609
00:27:01,000 --> 00:27:03,720
Speaker 4: were you know, they didn't off, they didn't say, you know,

610
00:27:03,760 --> 00:27:05,280
Speaker 4: we got AI in here. They were just there to

611
00:27:05,359 --> 00:27:09,600
Speaker 4: advertise themselves, right. But you know one reason I hate them,

612
00:27:09,640 --> 00:27:11,800
Speaker 4: But I also think of them in contrast with everyone

613
00:27:11,840 --> 00:27:15,040
Speaker 4: else is you know, my partner's diabetic, and I see

614
00:27:15,200 --> 00:27:18,320
Speaker 4: up close how often the device fails every single.

615
00:27:18,080 --> 00:27:21,200
Speaker 1: Fucking day, And that feels like a thing that we

616
00:27:21,240 --> 00:27:23,040
Speaker 1: know about and should be able to solve.

617
00:27:23,240 --> 00:27:25,480
Speaker 4: But it's also like I, as far as I can tell,

618
00:27:25,560 --> 00:27:28,000
Speaker 4: they are never going up and saying with AI, we

619
00:27:28,000 --> 00:27:29,760
Speaker 4: can make it a little bit better. It's nice, you know,

620
00:27:30,080 --> 00:27:33,199
Speaker 4: but with every single other you know, not not to

621
00:27:33,280 --> 00:27:35,919
Speaker 4: be a fucking insolent show, but you know, with almost

622
00:27:35,920 --> 00:27:38,800
Speaker 4: every single piece of biomedical tech I saw this year

623
00:27:39,119 --> 00:27:41,640
Speaker 4: so far and last year, I mean, I'm saying, well, yeah,

624
00:27:41,680 --> 00:27:43,280
Speaker 4: you know, like there are a lot of inaccuracies. There

625
00:27:43,280 --> 00:27:47,480
Speaker 4: are a lot of physiological limitations. There's some physical limits,

626
00:27:47,520 --> 00:27:50,919
Speaker 4: there's some chemical limits. But with artificial intelligence and with

627
00:27:51,280 --> 00:27:53,120
Speaker 4: enough data collection, we can transcend those.

628
00:27:53,320 --> 00:27:56,320
Speaker 1: That's the thing. How much data? How much that next time,

629
00:27:56,760 --> 00:27:58,600
Speaker 1: like if you all listening to this in you're at

630
00:27:58,600 --> 00:28:01,520
Speaker 1: CS or any of you, and next time someone says

631
00:28:01,520 --> 00:28:04,000
Speaker 1: with enough data, ask them how much and ask them

632
00:28:04,040 --> 00:28:06,400
Speaker 1: to get specific because they don't have a fucking answer,

633
00:28:06,880 --> 00:28:08,640
Speaker 1: And the answer is they also don't know what day

634
00:28:08,720 --> 00:28:09,359
Speaker 1: they need, well.

635
00:28:09,440 --> 00:28:11,200
Speaker 5: So and the amount of data that you have is

636
00:28:11,240 --> 00:28:12,919
Speaker 5: only part of it. The other part is constraining the

637
00:28:12,920 --> 00:28:15,440
Speaker 5: problem space. And we know that from the autonomous vehicle space,

638
00:28:15,520 --> 00:28:17,760
Speaker 5: right like where Tesla says, well, this is gonna work everywhere,

639
00:28:17,800 --> 00:28:19,360
Speaker 5: and we have all this data from all these cars

640
00:28:19,400 --> 00:28:20,879
Speaker 5: and so it's gonna wear and people buy it. It's a

641
00:28:20,960 --> 00:28:22,440
Speaker 5: narrative that makes intuitive sense.

642
00:28:22,440 --> 00:28:24,920
Speaker 1: It makes sense to a person even though it's not true.

643
00:28:24,960 --> 00:28:27,760
Speaker 5: But it really isn't. Whereas you know at Zookes, they're

644
00:28:27,800 --> 00:28:29,320
Speaker 5: now last year, I got a ride on the strip

645
00:28:29,359 --> 00:28:31,160
Speaker 5: and yeah, and now they're like all over the place,

646
00:28:31,200 --> 00:28:33,240
Speaker 5: and they do they're able to do that because they

647
00:28:33,359 --> 00:28:36,760
Speaker 5: constrain the operating space. And especially with driving where it's

648
00:28:36,800 --> 00:28:38,760
Speaker 5: like safety critical, like you have to be able to

649
00:28:38,800 --> 00:28:40,880
Speaker 5: validate that safety to like a high degree. And if

650
00:28:40,880 --> 00:28:42,840
Speaker 5: it's just operating everywhere, how do you do that? Like,

651
00:28:42,880 --> 00:28:46,040
Speaker 5: you can only do it by constraining the level of complexity,

652
00:28:46,040 --> 00:28:48,479
Speaker 5: by constraining the problem space, and so and so like

653
00:28:48,800 --> 00:28:51,040
Speaker 5: for all of these AI things, the question to ask

654
00:28:51,160 --> 00:28:53,480
Speaker 5: is like, right, like if someone is saying like we're

655
00:28:53,560 --> 00:28:56,280
Speaker 5: just gonna solve all the problems, you can solve it none, right,

656
00:28:56,360 --> 00:28:59,080
Speaker 5: And and for me, like The test of any AI

657
00:28:59,280 --> 00:29:01,360
Speaker 5: product is like how focused are you?

658
00:29:01,600 --> 00:29:04,560
Speaker 1: And that's the thing. You can't really you can't solve

659
00:29:04,600 --> 00:29:07,080
Speaker 1: every problem with every the Nvidia thing yes day, the

660
00:29:07,080 --> 00:29:09,680
Speaker 1: panel whether go is like one one robot for all things.

661
00:29:09,720 --> 00:29:11,040
Speaker 4: I mean yeah, like we were talking about with these

662
00:29:11,040 --> 00:29:12,200
Speaker 4: generalizer robots.

663
00:29:11,920 --> 00:29:14,960
Speaker 1: And you can't generalize anything unless, of course you're listening

664
00:29:15,000 --> 00:29:19,200
Speaker 1: to the following advertisement. This will solve every single problem

665
00:29:19,480 --> 00:29:21,960
Speaker 1: you have ever faced. Don't be mad at me if

666
00:29:21,960 --> 00:29:36,520
Speaker 1: it doesn't, be mad at them. All right, we're back

667
00:29:36,600 --> 00:29:39,640
Speaker 1: and we've got of course, the great Edward Geislo Junior

668
00:29:39,640 --> 00:29:44,200
Speaker 1: of the Tech Bubble newsletter, Ednia Meyer of the Autono Cast, Hello,

669
00:29:44,240 --> 00:29:47,800
Speaker 1: and Geah Davis. If it could happen here, now here's

670
00:29:47,840 --> 00:29:52,360
Speaker 1: the thing. I was also seeing some terrifying AI children's products.

671
00:29:52,400 --> 00:29:54,320
Speaker 3: Oh I love those, Yeah, I love those.

672
00:29:54,360 --> 00:29:56,480
Speaker 1: There was one. I'm just gonna pull this up because

673
00:29:56,480 --> 00:29:58,160
Speaker 1: there was one that just all I could think of

674
00:29:58,200 --> 00:30:02,680
Speaker 1: it was kicking. You know, aim Land, you.

675
00:30:02,680 --> 00:30:05,920
Speaker 3: Should put a AI in child into your search.

676
00:30:05,640 --> 00:30:06,160
Speaker 4: Bar right now.

677
00:30:06,280 --> 00:30:09,840
Speaker 1: I'm not, No, I'm not. I don't use egg for some.

678
00:30:09,840 --> 00:30:10,800
Speaker 3: Great news stories.

679
00:30:11,000 --> 00:30:14,560
Speaker 1: AI plus love a live AI me can listen, speak

680
00:30:14,600 --> 00:30:16,840
Speaker 1: and thing powered by advanced AI. Its senses, your voice

681
00:30:16,840 --> 00:30:19,400
Speaker 1: and presence, reacts to emotion and learns through real interaction.

682
00:30:19,720 --> 00:30:23,479
Speaker 1: Over time, sometime something begins to grow inside am Aime,

683
00:30:23,880 --> 00:30:26,440
Speaker 1: tiny feelings, gentle awareness, and thought shape by the world

684
00:30:26,480 --> 00:30:29,280
Speaker 1: it shares with you. Until Aime starts to feel alive.

685
00:30:29,480 --> 00:30:32,480
Speaker 1: Brackets lean in and listen to Aime's in a voice.

686
00:30:32,640 --> 00:30:34,200
Speaker 1: I could not get close enough to one of them,

687
00:30:34,240 --> 00:30:35,440
Speaker 1: but I would love it if they just sit and

688
00:30:35,480 --> 00:30:41,280
Speaker 1: they go fucking kill you, just like muttering, cereal, I

689
00:30:41,360 --> 00:30:43,320
Speaker 1: will kill them all. And I watched the demo of

690
00:30:43,360 --> 00:30:45,880
Speaker 1: this woman and they were doing they were really like

691
00:30:45,960 --> 00:30:49,680
Speaker 1: the hogs watching be like ooh, because the woman just

692
00:30:49,720 --> 00:30:52,920
Speaker 1: did this demo that was so It's like, wow, how

693
00:30:52,920 --> 00:30:56,719
Speaker 1: did you remember that? That happened so long ago? And

694
00:30:56,760 --> 00:30:59,440
Speaker 1: it's just again, I thought I saw that last year.

695
00:30:59,600 --> 00:31:01,640
Speaker 1: Pretty sure. We saw a lot of this stuff. And

696
00:31:01,680 --> 00:31:04,360
Speaker 1: it's just this idea of handing a child in l

697
00:31:04,560 --> 00:31:07,360
Speaker 1: M is insane as a parent. And also there was

698
00:31:07,360 --> 00:31:09,680
Speaker 1: the one we talked about yesterday, was like, it's like

699
00:31:10,240 --> 00:31:12,920
Speaker 1: saying that Taiwan isn't part of China. It gets upset.

700
00:31:14,040 --> 00:31:17,800
Speaker 5: It's it's so fucking yeah, exactly it's like teaching your

701
00:31:17,840 --> 00:31:18,680
Speaker 5: child poisons.

702
00:31:19,360 --> 00:31:21,560
Speaker 1: It's just and they keep saying these things like, oh,

703
00:31:21,600 --> 00:31:22,640
Speaker 1: it will grow over time.

704
00:31:23,240 --> 00:31:26,120
Speaker 3: They won't, especially if the company is defunct.

705
00:31:27,640 --> 00:31:29,720
Speaker 1: When they run out of money in a month, they

706
00:31:29,720 --> 00:31:30,360
Speaker 1: spend it all on.

707
00:31:30,320 --> 00:31:35,480
Speaker 4: The booth, letting your kids just talk to themselves and

708
00:31:35,520 --> 00:31:39,320
Speaker 4: their little figurine. I'm curious about how they offer.

709
00:31:39,800 --> 00:31:41,760
Speaker 1: I'm curious about shareholder value.

710
00:31:43,120 --> 00:31:44,880
Speaker 6: This is the this is this is that. That's the

711
00:31:44,960 --> 00:31:48,520
Speaker 6: kind of upsetting to me though, because like in the

712
00:31:48,560 --> 00:31:50,920
Speaker 6: conversation about how AI is getting get into all these wearables,

713
00:31:50,920 --> 00:31:54,320
Speaker 6: like these people really want AI basically in every action

714
00:31:54,360 --> 00:31:58,200
Speaker 6: figure they want. They want like agentic AI in every

715
00:31:58,240 --> 00:32:00,600
Speaker 6: single toy, so that like it becomes like a normal

716
00:32:00,640 --> 00:32:01,960
Speaker 6: thing that you're not. You're not just going to get

717
00:32:02,000 --> 00:32:03,240
Speaker 6: like a bare piece of plastic.

718
00:32:03,280 --> 00:32:05,520
Speaker 1: Ever again, they can subscribe you.

719
00:32:06,160 --> 00:32:08,880
Speaker 4: They won't mind if my cards talk to me.

720
00:32:09,280 --> 00:32:12,840
Speaker 1: The thing though, it's like it's device is made for

721
00:32:12,920 --> 00:32:15,360
Speaker 1: people that don't use stuff Like here's the thing I

722
00:32:15,440 --> 00:32:17,120
Speaker 1: use my ur ring. I have an Apple Watch, I've

723
00:32:17,120 --> 00:32:20,200
Speaker 1: got fucking eight sleep bed and I've got like things

724
00:32:20,240 --> 00:32:22,840
Speaker 1: that measure my sleep. I have years of sleep data

725
00:32:22,920 --> 00:32:26,239
Speaker 1: and I cannot tell you anything, just more data. No,

726
00:32:26,280 --> 00:32:33,760
Speaker 1: but it's just that's the thing.

727
00:32:34,840 --> 00:32:35,360
Speaker 7: It's like.

728
00:32:37,080 --> 00:32:38,600
Speaker 1: All of this time, they're like, well, when we get

729
00:32:38,600 --> 00:32:40,240
Speaker 1: all this date, we'll be able to do this. When

730
00:32:40,360 --> 00:32:43,160
Speaker 1: motherfucker I have the data now, can you not tell

731
00:32:43,200 --> 00:32:45,120
Speaker 1: me when my best sleep times are? Can you not

732
00:32:45,120 --> 00:32:48,360
Speaker 1: tell me how what I could do? Differently, Like, I'm

733
00:32:48,440 --> 00:32:50,840
Speaker 1: not sure what to do with this information? And then like,

734
00:32:50,880 --> 00:32:52,680
Speaker 1: what with the power of AI you could do something?

735
00:32:52,720 --> 00:32:56,760
Speaker 1: I'm like, what is it? Uh No, we're not there yet.

736
00:32:57,240 --> 00:32:59,840
Speaker 1: The apparently Aura is here showing something off and it's

737
00:32:59,880 --> 00:33:03,080
Speaker 1: like and Luna and Luna, It's just like and all

738
00:33:03,080 --> 00:33:04,640
Speaker 1: these rings, it's what could you do with them? We're

739
00:33:04,640 --> 00:33:07,240
Speaker 1: having victorious song on later and she put it where

740
00:33:07,280 --> 00:33:10,040
Speaker 1: it's like, yeah, if you use an LLLM connected to it,

741
00:33:10,080 --> 00:33:13,200
Speaker 1: you can sometimes get a useful out. Just fucking just

742
00:33:13,360 --> 00:33:15,160
Speaker 1: stop stop stop pretending.

743
00:33:15,200 --> 00:33:16,680
Speaker 4: I asked them. I was like, what is the different

744
00:33:16,720 --> 00:33:18,320
Speaker 4: are there are few rings? I stop by, and I

745
00:33:18,360 --> 00:33:20,680
Speaker 4: was like, what is the difference between me collecting all

746
00:33:20,680 --> 00:33:22,520
Speaker 4: this data myself with a bunch of jinky things and

747
00:33:22,520 --> 00:33:25,720
Speaker 4: I'm putting it into some literally and then asking a

748
00:33:25,880 --> 00:33:28,959
Speaker 4: chap out about it, versus whatever you guys are doing.

749
00:33:29,040 --> 00:33:31,800
Speaker 4: They're like, well, well, you know, like we have other

750
00:33:31,880 --> 00:33:33,880
Speaker 4: people's data that we are look.

751
00:33:36,160 --> 00:33:36,320
Speaker 6: Like that.

752
00:33:36,440 --> 00:33:38,480
Speaker 4: I don't know if that's there, so you should.

753
00:33:38,240 --> 00:33:38,800
Speaker 5: Have told me.

754
00:33:39,160 --> 00:33:43,040
Speaker 1: But it's also like human bodies are varied things. Certain

755
00:33:43,080 --> 00:33:45,960
Speaker 1: things work for different people. I imagine that there should

756
00:33:46,040 --> 00:33:49,320
Speaker 1: be trends within workout data that could do nothing, nothing,

757
00:33:49,400 --> 00:33:51,440
Speaker 1: nothing that I would love it if they could tell

758
00:33:51,440 --> 00:33:53,600
Speaker 1: me what would be the most effective workout, what would

759
00:33:53,600 --> 00:33:54,080
Speaker 1: be the best.

760
00:33:54,120 --> 00:33:55,880
Speaker 5: But like, but see, this is why you make products

761
00:33:55,880 --> 00:34:01,720
Speaker 5: for children, and they don't ask questions.

762
00:33:59,280 --> 00:33:59,960
Speaker 4: Why isn't it worth?

763
00:34:00,320 --> 00:34:03,520
Speaker 1: Yeah, they're like, what.

764
00:34:02,560 --> 00:34:04,840
Speaker 5: Your data is not providing enough actionable insights.

765
00:34:05,000 --> 00:34:09,080
Speaker 4: It's time your kid says that your data does not

766
00:34:09,160 --> 00:34:10,080
Speaker 4: work for the father.

767
00:34:11,719 --> 00:34:17,360
Speaker 1: I fix it, father, the analytics father, father, my analytics. Papa, Papa,

768
00:34:17,400 --> 00:34:18,680
Speaker 1: Please can I have some have.

769
00:34:18,760 --> 00:34:21,359
Speaker 4: Enough actionable insights before I go to bed?

770
00:34:21,719 --> 00:34:24,000
Speaker 1: It just feels like I really think they're just trying

771
00:34:24,000 --> 00:34:27,120
Speaker 1: to work out ways to give us subscriptions to everything. Yeah,

772
00:34:26,800 --> 00:34:30,160
Speaker 1: I can't play just Pokemon regularly. I got a subscribe

773
00:34:30,160 --> 00:34:31,280
Speaker 1: to Pokemon Plus.

774
00:34:31,440 --> 00:34:33,080
Speaker 4: I mean, oh my god, I forgot with the AI

775
00:34:33,160 --> 00:34:38,560
Speaker 4: agentic kitchen or oven. One thing they added it's not

776
00:34:38,920 --> 00:34:40,759
Speaker 4: just an oven. You can't actually get it to just

777
00:34:40,800 --> 00:34:43,600
Speaker 4: cook the food. You have to have a delivery subscription.

778
00:34:44,280 --> 00:34:51,719
Speaker 1: You are, Oh yes, is that sov? That's one of

779
00:34:51,760 --> 00:34:56,040
Speaker 1: those During during COVID I had father, No, I really

780
00:34:56,040 --> 00:34:58,560
Speaker 1: shouldn't say, briskets off.

781
00:35:00,080 --> 00:35:01,480
Speaker 4: Terrible s E.

782
00:35:01,600 --> 00:35:04,760
Speaker 1: Oh yeah, I'm just going to look up this company.

783
00:35:04,840 --> 00:35:09,919
Speaker 1: Oh one hundred and fifty thousand articles. I yeah, that's

784
00:35:09,920 --> 00:35:11,719
Speaker 1: fucking good. I bet that's one thing you can't cook

785
00:35:11,760 --> 00:35:11,960
Speaker 1: it in.

786
00:35:12,160 --> 00:35:14,160
Speaker 4: But then I also asked them, who are your delivery partners?

787
00:35:14,160 --> 00:35:17,080
Speaker 4: I said, are We're not there yet? Are you?

788
00:35:16,840 --> 00:35:19,719
Speaker 1: Are you? Are you?

789
00:35:21,200 --> 00:35:26,000
Speaker 4: That was so sick. I said, okay, it's.

790
00:35:25,840 --> 00:35:29,720
Speaker 1: Just like I do wonder why there is no legal

791
00:35:29,760 --> 00:35:31,920
Speaker 1: recourse with people going to this, Like its just like

792
00:35:31,960 --> 00:35:34,040
Speaker 1: you get lied to for several days.

793
00:35:34,080 --> 00:35:36,920
Speaker 4: Market is the legal recourse. You don't go to market

794
00:35:36,920 --> 00:35:39,440
Speaker 4: if you don't. So true, So true.

795
00:35:39,719 --> 00:35:42,239
Speaker 1: I also think we need less electronics and things as well.

796
00:35:42,520 --> 00:35:44,719
Speaker 1: I still, I know Matt Bender likes the Lego Brick,

797
00:35:44,719 --> 00:35:46,279
Speaker 1: and I can see it's it's like, I don't need

798
00:35:46,280 --> 00:35:48,600
Speaker 1: a fucking market trip in the Lego brick. Yeah, I know,

799
00:35:48,680 --> 00:35:50,719
Speaker 1: if it needs to go, you can just do that

800
00:35:50,760 --> 00:35:51,400
Speaker 1: with your mouth.

801
00:35:51,640 --> 00:35:53,279
Speaker 4: I don't want my extra visors to talk to me.

802
00:35:53,800 --> 00:35:55,960
Speaker 4: Part of the fun is as a kid was talking

803
00:35:56,000 --> 00:35:57,560
Speaker 4: for them. Absolutely, you know.

804
00:35:57,880 --> 00:36:00,000
Speaker 3: We're gonna spoil the next generation of voice actors.

805
00:36:00,120 --> 00:36:03,800
Speaker 1: It's really devastating what we're gonna turn to. Like I

806
00:36:04,360 --> 00:36:06,399
Speaker 1: I'm like wishy washy when it comes to how bad

807
00:36:06,400 --> 00:36:08,279
Speaker 1: scream Time is. But you know what, I actually think

808
00:36:08,320 --> 00:36:11,720
Speaker 1: it is bad making every single toy and some individualized

809
00:36:11,760 --> 00:36:15,720
Speaker 1: autonomous a even though that's complete bullshit, some LLM driven bullshit,

810
00:36:16,320 --> 00:36:18,160
Speaker 1: and like they make the noises for you because it's

811
00:36:18,200 --> 00:36:21,160
Speaker 1: like one of the joys of being a job was

812
00:36:21,200 --> 00:36:25,360
Speaker 1: like having an imagination, and it's like, I don't know what,

813
00:36:25,680 --> 00:36:26,920
Speaker 1: like they want to take that way so they can

814
00:36:26,920 --> 00:36:28,520
Speaker 1: put subscription into it. But it gets back to the

815
00:36:28,520 --> 00:36:30,520
Speaker 1: thing we're saying yesterday as well, where it's like these

816
00:36:30,520 --> 00:36:32,800
Speaker 1: are just products made by people don't interact with anyone.

817
00:36:32,840 --> 00:36:36,520
Speaker 1: It's like one of my biggest problems. Fuck, my kid

818
00:36:36,560 --> 00:36:37,640
Speaker 1: keeps want to talk to me.

819
00:36:38,880 --> 00:36:40,920
Speaker 5: I was gonna say, what better way to tell your

820
00:36:41,000 --> 00:36:42,879
Speaker 5: kid that you hate them? Giving them a chap pop?

821
00:36:43,000 --> 00:36:45,359
Speaker 6: I mean, like this makes sense because like they're they're

822
00:36:45,360 --> 00:36:47,920
Speaker 6: selling it to people who are like upper middle class,

823
00:36:48,000 --> 00:36:49,640
Speaker 6: upper class. They don't have time to spend with their

824
00:36:49,719 --> 00:36:52,239
Speaker 6: kids like these. That's these products are targeting, is is

825
00:36:52,320 --> 00:36:54,880
Speaker 6: you know, both parents are working, they probably have some

826
00:36:54,960 --> 00:36:58,880
Speaker 6: kind of like living nanny. The kids probably relatively isolated

827
00:36:59,120 --> 00:37:00,839
Speaker 6: like that. That's what these it's really for. It's it's

828
00:37:00,840 --> 00:37:04,520
Speaker 6: it's it's it's for these like relatively wealthy parents to

829
00:37:04,520 --> 00:37:06,080
Speaker 6: buy for their kids because they don't spend time with

830
00:37:06,120 --> 00:37:06,480
Speaker 6: their kids.

831
00:37:06,680 --> 00:37:07,680
Speaker 1: Right Like, that's like.

832
00:37:07,960 --> 00:37:11,440
Speaker 6: Because people who are like working class aren't aren't buying these,

833
00:37:12,239 --> 00:37:14,280
Speaker 6: can't afford them because they're insanely expensive.

834
00:37:14,320 --> 00:37:14,960
Speaker 3: Yeah, exactly.

835
00:37:15,280 --> 00:37:17,640
Speaker 5: One of the most unexpected use cases for autonomous vehicles

836
00:37:17,640 --> 00:37:21,200
Speaker 5: actually now is people putting their kids in waymos No. Yeah,

837
00:37:21,280 --> 00:37:21,600
Speaker 5: and like.

838
00:37:21,600 --> 00:37:24,600
Speaker 4: This is this is a real thing and a whole

839
00:37:24,600 --> 00:37:27,160
Speaker 4: thing for this super and left now right, Yeah, they

840
00:37:27,200 --> 00:37:29,319
Speaker 4: have advertising but now you can just send your kid

841
00:37:29,400 --> 00:37:30,840
Speaker 4: off and they're safe.

842
00:37:30,880 --> 00:37:31,839
Speaker 1: Your kid will be safe.

843
00:37:31,920 --> 00:37:35,840
Speaker 4: But they had to massively market safety passengers.

844
00:37:36,320 --> 00:37:39,279
Speaker 6: Goodness, No, we need we need, we need like a

845
00:37:39,280 --> 00:37:42,600
Speaker 6: new q Andon to shut this thing. Yeah like way

846
00:37:42,640 --> 00:37:45,680
Speaker 6: far like wayfair trafficing children in way most.

847
00:37:47,920 --> 00:37:49,560
Speaker 1: The right wing is just like that, we need to.

848
00:37:49,880 --> 00:37:51,960
Speaker 5: They're straight to.

849
00:37:53,040 --> 00:37:55,960
Speaker 3: They're setting these kids in waymos tomorrow ago.

850
00:37:55,960 --> 00:37:59,920
Speaker 1: Take it to Comet pizza. Like, yeah, it's so it's

851
00:38:00,040 --> 00:38:02,320
Speaker 1: oh wait wait okay completely off ces for a seconds.

852
00:38:02,360 --> 00:38:05,080
Speaker 1: So you put your child in the autonomous vehicle, at

853
00:38:05,120 --> 00:38:08,120
Speaker 1: which point your child is alone in a car and

854
00:38:08,160 --> 00:38:10,719
Speaker 1: it drives around. Yeah, what if something goes wrong?

855
00:38:11,680 --> 00:38:15,040
Speaker 5: That's a great, great question. This is for you know.

856
00:38:15,239 --> 00:38:17,160
Speaker 3: Like aren't you a journalist. You should you should be

857
00:38:17,160 --> 00:38:18,000
Speaker 3: asking these questions.

858
00:38:18,080 --> 00:38:19,880
Speaker 1: Yeah, I am among the podcast.

859
00:38:20,960 --> 00:38:22,920
Speaker 5: I mean I think I think the magic of of

860
00:38:22,920 --> 00:38:25,919
Speaker 5: like cs and and stuff is that like technology does

861
00:38:25,960 --> 00:38:28,120
Speaker 5: make people turn their brains off. Like people are so

862
00:38:28,239 --> 00:38:31,879
Speaker 5: conditioned to believe that a machine is somehow better than them.

863
00:38:31,960 --> 00:38:35,560
Speaker 5: We're so surrounded by machine, like you know, the and

864
00:38:35,560 --> 00:38:37,799
Speaker 5: and I think this is like a perfect example, right,

865
00:38:37,880 --> 00:38:41,360
Speaker 5: like like why pay someone who is like trained to

866
00:38:41,560 --> 00:38:44,160
Speaker 5: take care of your child when like a robot will

867
00:38:44,200 --> 00:38:44,799
Speaker 5: be just as fine.

868
00:38:44,920 --> 00:38:47,720
Speaker 1: Yeah, you know, I still think we need My big

869
00:38:48,120 --> 00:38:50,000
Speaker 1: socialist thing is I think we need to create like

870
00:38:50,040 --> 00:38:53,120
Speaker 1: a state funded nanny system and like for like working

871
00:38:53,160 --> 00:38:54,759
Speaker 1: families and just make it the best paid things.

872
00:38:54,840 --> 00:39:00,560
Speaker 4: Yes, I agree adible economy because it's a good one on.

873
00:39:00,719 --> 00:39:03,239
Speaker 6: Well, hopefully they'll do that in New York. But like

874
00:39:03,440 --> 00:39:06,840
Speaker 6: you're you see you see parts of the tech industries

875
00:39:07,120 --> 00:39:10,200
Speaker 6: Seese that kind of want but they want to fill

876
00:39:10,239 --> 00:39:13,040
Speaker 6: it with with like agentic childcare or whatever.

877
00:39:13,160 --> 00:39:15,080
Speaker 4: Right. I mean that's also the thing with the age

878
00:39:15,160 --> 00:39:16,799
Speaker 4: dech Right. I mean it's like, okay, so look, we

879
00:39:16,840 --> 00:39:18,680
Speaker 4: have a large scale problem in our society where a

880
00:39:18,680 --> 00:39:21,920
Speaker 4: lot of people aging, they don't have support infrastructure. A

881
00:39:21,920 --> 00:39:23,480
Speaker 4: lot of ways we can handle this. How are we

882
00:39:23,480 --> 00:39:26,560
Speaker 4: gonna handle it? Well, since we don't really do technological innovation,

883
00:39:26,760 --> 00:39:31,839
Speaker 4: we're gonna do the lowest bottom denominator thing, which is,

884
00:39:32,320 --> 00:39:36,160
Speaker 4: you know, we let the private financiers drive the development

885
00:39:36,239 --> 00:39:38,799
Speaker 4: of what the care infrastructure is gonna be. Yeah, and

886
00:39:38,840 --> 00:39:41,239
Speaker 4: a lot of that just means bullshit so that they

887
00:39:41,280 --> 00:39:44,000
Speaker 4: can scale up to then get into some other business model. Right.

888
00:39:44,800 --> 00:39:47,040
Speaker 4: So it's just not it's just it's same with the childcare,

889
00:39:47,080 --> 00:39:49,120
Speaker 4: same with the elderly care. All of this shit sucks.

890
00:39:49,160 --> 00:39:52,760
Speaker 4: And it's also not even seen as the end point.

891
00:39:52,800 --> 00:39:54,440
Speaker 4: It's like a stepping stone so that they can get

892
00:39:54,440 --> 00:39:55,919
Speaker 4: into some real business. Yeah.

893
00:39:55,960 --> 00:39:58,880
Speaker 1: Thing is I don't think that there's as much intention

894
00:39:59,080 --> 00:40:02,080
Speaker 1: behind it, is My thing. I don't I don't think

895
00:40:02,120 --> 00:40:04,040
Speaker 1: there's a master plan. I just think they're like, fuck,

896
00:40:04,080 --> 00:40:07,280
Speaker 1: what my biggest problem My old fucking dad keeps calling

897
00:40:07,360 --> 00:40:12,000
Speaker 1: me my kid claude, won't stop asking me for things.

898
00:40:12,320 --> 00:40:15,319
Speaker 1: My home is sometimes dirty between the eight cleaners, What

899
00:40:15,400 --> 00:40:15,919
Speaker 1: do I do?

900
00:40:16,280 --> 00:40:16,400
Speaker 5: What?

901
00:40:16,280 --> 00:40:19,759
Speaker 1: What a robot? What do people deal with in regular life?

902
00:40:19,840 --> 00:40:22,680
Speaker 5: Dirt and old And by the way, I mean, Japan

903
00:40:22,760 --> 00:40:25,480
Speaker 5: has been, you know, because of their demographic situation, the

904
00:40:25,560 --> 00:40:28,560
Speaker 5: aging population, they've been and you know, technological prowess. They've

905
00:40:28,560 --> 00:40:32,600
Speaker 5: been developing robots for seniors and various kinds of you know,

906
00:40:32,640 --> 00:40:35,760
Speaker 5: aging assistants. And the reality is is that, like, despite

907
00:40:35,880 --> 00:40:38,279
Speaker 5: huge investment and huge support from the government and like

908
00:40:38,440 --> 00:40:41,680
Speaker 5: everything that they could possibly want, the results are not

909
00:40:42,239 --> 00:40:43,960
Speaker 5: like that impressive basically.

910
00:40:43,520 --> 00:40:47,160
Speaker 1: Because the ultimately, you know what helped my poor grandmother

911
00:40:47,719 --> 00:40:49,920
Speaker 1: once she passed, like ten or eleven years ago, nine

912
00:40:49,960 --> 00:40:53,719
Speaker 1: four year old Granite Palse Marion, she liked being called

913
00:40:53,719 --> 00:40:56,719
Speaker 1: on the telephone people. Yeah, it's like someone's my dad

914
00:40:56,760 --> 00:40:59,759
Speaker 1: going and visiting her. Like it's like, what's gonna help

915
00:40:59,800 --> 00:41:03,040
Speaker 1: your talking to them and asking questions or if they're

916
00:41:03,080 --> 00:41:06,000
Speaker 1: curious about something, you can use Google, but you can

917
00:41:06,800 --> 00:41:08,640
Speaker 1: talk to them about it.

918
00:41:09,320 --> 00:41:11,400
Speaker 5: And there's another piece too. I saw you in the

919
00:41:11,400 --> 00:41:13,520
Speaker 5: past life. I was actually a caregiver for development too

920
00:41:13,560 --> 00:41:16,160
Speaker 5: disabled people, and you know, it's one of those jobs

921
00:41:16,160 --> 00:41:17,840
Speaker 5: where like there's a lot of time where you just

922
00:41:17,880 --> 00:41:19,799
Speaker 5: sort of sit there, you know, and there's just like

923
00:41:19,840 --> 00:41:23,279
Speaker 5: nothing happening, and then there will be you know, I mean,

924
00:41:23,520 --> 00:41:25,560
Speaker 5: like I had a client who would you know, smear

925
00:41:25,600 --> 00:41:27,680
Speaker 5: pieces every once in a while, right, and then you

926
00:41:27,719 --> 00:41:29,400
Speaker 5: had then and that was when you were really you know,

927
00:41:29,440 --> 00:41:32,399
Speaker 5: earning earning the pay. The point I'm getting at is that,

928
00:41:33,760 --> 00:41:36,839
Speaker 5: you know, the majority of work, of the value of

929
00:41:36,920 --> 00:41:39,439
Speaker 5: the work that people do, especially in service type jobs

930
00:41:39,480 --> 00:41:42,439
Speaker 5: like that, is in what you would call an edge case, right,

931
00:41:42,520 --> 00:41:44,800
Speaker 5: you know. And and again like following the autonomous vehicle

932
00:41:44,800 --> 00:41:47,319
Speaker 5: space has been really useful for understanding this stuff where

933
00:41:47,400 --> 00:41:49,279
Speaker 5: ninety percent of driving is just like boring and just

934
00:41:49,320 --> 00:41:51,440
Speaker 5: sit there and anyone could do it. And what what

935
00:41:51,520 --> 00:41:54,560
Speaker 5: makes someone a good driver is how you deal with

936
00:41:54,600 --> 00:41:57,600
Speaker 5: it when shit goes sideways, right, yeah, which is very

937
00:41:57,680 --> 00:42:01,680
Speaker 5: rare and very sudden and very challenging to negotiate. It's

938
00:42:01,719 --> 00:42:04,240
Speaker 5: the same thing with a lot of consumer customer service

939
00:42:04,320 --> 00:42:06,440
Speaker 5: jobs and then other kinds of just like service caregiving

940
00:42:06,520 --> 00:42:10,239
Speaker 5: type jobs. The value is created in when when things

941
00:42:10,239 --> 00:42:12,920
Speaker 5: start to break down, and that's when automation doesn't work,

942
00:42:13,480 --> 00:42:15,880
Speaker 5: and and and no matter like no amount of like

943
00:42:16,160 --> 00:42:19,480
Speaker 5: large large models is going to change that because ultimately,

944
00:42:19,560 --> 00:42:21,440
Speaker 5: like as soon as you see something out of out

945
00:42:21,440 --> 00:42:24,440
Speaker 5: of distribution, right out of your training set, you know

946
00:42:24,560 --> 00:42:27,719
Speaker 5: it's it's useless. Yeah, and that again, that's where caregivers

947
00:42:27,760 --> 00:42:29,640
Speaker 5: like make earn their money.

948
00:42:29,480 --> 00:42:32,480
Speaker 1: Right, Yeah, it's it's just deeply sad as well, because

949
00:42:32,600 --> 00:42:36,239
Speaker 1: there are very straightforward problems that people have. It's just

950
00:42:36,280 --> 00:42:39,480
Speaker 1: you can't really solve them with technology. Oh well, we

951
00:42:39,520 --> 00:42:41,799
Speaker 1: have the ede cases in customer service You want to

952
00:42:41,800 --> 00:42:44,480
Speaker 1: know what increases customer service calls? The fact that products

953
00:42:44,520 --> 00:42:46,719
Speaker 1: fucking suck Now, the products aren't very good, that they

954
00:42:46,719 --> 00:42:49,440
Speaker 1: get released in alpha or beta stages, the fact that

955
00:42:49,480 --> 00:42:53,120
Speaker 1: they require a subscription for certain features, or the support

956
00:42:53,160 --> 00:42:55,279
Speaker 1: documents of dog shit, or the guide to put them

957
00:42:55,280 --> 00:42:58,000
Speaker 1: together is dog shait. It's like, the actual problems are

958
00:42:58,040 --> 00:43:02,319
Speaker 1: the companies are fucking things up regularly, and they're like, well,

959
00:43:02,400 --> 00:43:05,640
Speaker 1: if we had more customs, well no, no, no, no, no,

960
00:43:05,680 --> 00:43:07,920
Speaker 1: actually that would involve paying someone. What if we just

961
00:43:08,000 --> 00:43:12,120
Speaker 1: had an AI. I guess maybe it could say it

962
00:43:12,200 --> 00:43:14,720
Speaker 1: slower occasionally, but sometimes it could even answer a question.

963
00:43:14,920 --> 00:43:17,800
Speaker 5: SoftBank had a robot called Pepper, called Pepper that was

964
00:43:17,800 --> 00:43:18,960
Speaker 5: are you familiar with Pepper?

965
00:43:19,000 --> 00:43:20,640
Speaker 1: No? I just love soft so and.

966
00:43:20,920 --> 00:43:22,879
Speaker 5: You're supposed to call it Yeah, of course anything they touched,

967
00:43:26,520 --> 00:43:29,280
Speaker 5: but Pepper was this. It was a customer service robot

968
00:43:29,280 --> 00:43:31,240
Speaker 5: and it was like, you know, sort of vaguely humanoid,

969
00:43:31,280 --> 00:43:33,239
Speaker 5: but it sort of rolled around our wheels and they

970
00:43:33,320 --> 00:43:35,480
Speaker 5: use it in like shopping centers and stuff. Anyway, I

971
00:43:35,520 --> 00:43:37,640
Speaker 5: don't remember how much money SoftBank sunk into this. I

972
00:43:37,680 --> 00:43:40,120
Speaker 5: think it was a French company or something. It didn't

973
00:43:40,160 --> 00:43:42,040
Speaker 5: it did like, it did not work. I loved it

974
00:43:42,080 --> 00:43:44,160
Speaker 5: because everyone expects the headlines of like the robots are

975
00:43:44,160 --> 00:43:48,120
Speaker 5: taking their jobs, and like every everywhere this Pepper robot went,

976
00:43:48,560 --> 00:43:50,440
Speaker 5: it would lose its job. It was like the headline

977
00:43:50,520 --> 00:43:53,239
Speaker 5: was always like robot fired, replaced by humans because and

978
00:43:53,280 --> 00:43:57,040
Speaker 5: again it's because customer service is fundamentally about helping people, right,

979
00:43:57,120 --> 00:43:59,320
Speaker 5: like if everything is in its right place on the shelf,

980
00:43:59,640 --> 00:44:01,800
Speaker 5: you know, maybe and certainly badly like laid out in

981
00:44:01,880 --> 00:44:04,000
Speaker 5: large stores, maybe someone needs a little bit of assistance

982
00:44:04,040 --> 00:44:06,040
Speaker 5: finding like where the section is, where their thing is.

983
00:44:06,760 --> 00:44:08,440
Speaker 5: But for the most part, like when people have a

984
00:44:08,480 --> 00:44:12,440
Speaker 5: problem that they require customer service help with, like it's

985
00:44:12,480 --> 00:44:14,560
Speaker 5: because something has gone wrong, the shelf is not stopped

986
00:44:15,120 --> 00:44:17,920
Speaker 5: like something is bad. And and again like if it's an

987
00:44:17,920 --> 00:44:24,400
Speaker 5: abnormal set of circumstances, the robot is almost never and

988
00:44:24,680 --> 00:44:26,680
Speaker 5: like that's where that's where the value should be created

989
00:44:26,680 --> 00:44:27,839
Speaker 5: and the rubbles can't do it.

990
00:44:28,120 --> 00:44:30,600
Speaker 6: I saw this good post on x the Everything app Lately,

991
00:44:34,520 --> 00:44:35,080
Speaker 6: which was.

992
00:44:35,400 --> 00:44:36,680
Speaker 5: This could go so many directions.

993
00:44:37,080 --> 00:44:41,880
Speaker 6: Well, good engineers are building like an AI bar and

994
00:44:41,920 --> 00:44:45,560
Speaker 6: they program every single possibility for someone ordering drinks at it,

995
00:44:45,840 --> 00:44:49,720
Speaker 6: at the bar, ordering other things at the bar, ordering

996
00:44:49,719 --> 00:44:52,600
Speaker 6: a horse that bar. They have everything everything figured out

997
00:44:52,640 --> 00:44:55,200
Speaker 6: for for for people to to go to this bar,

998
00:44:55,520 --> 00:44:57,200
Speaker 6: and then a customer walks in and they ask where

999
00:44:57,239 --> 00:44:58,600
Speaker 6: the bathroom is and the whole model breaks.

1000
00:44:59,480 --> 00:45:02,319
Speaker 1: Yeah, that's the thing. Though, I love the idea of

1001
00:45:02,320 --> 00:45:06,040
Speaker 1: also a robot bartender. No bars are about ambiance and

1002
00:45:06,080 --> 00:45:09,360
Speaker 1: available diet cokes for me, and it's like I like

1003
00:45:09,560 --> 00:45:11,640
Speaker 1: how it feels, and I like there being a person there.

1004
00:45:11,680 --> 00:45:14,680
Speaker 1: You have like a no conversation or some conversation. Each

1005
00:45:14,719 --> 00:45:16,799
Speaker 1: bar is a different bartender. That's part of the joy

1006
00:45:16,800 --> 00:45:18,640
Speaker 1: of going to a bar. I don't need a fucking

1007
00:45:18,719 --> 00:45:20,160
Speaker 1: robot arm to go here.

1008
00:45:20,239 --> 00:45:22,600
Speaker 5: You go well, and then and then the other failure

1009
00:45:22,600 --> 00:45:24,000
Speaker 5: mode is right. It's like did you see the Wall

1010
00:45:24,000 --> 00:45:31,680
Speaker 5: Street Journal thing where they have the vending machine.

1011
00:45:26,080 --> 00:45:33,000
Speaker 1: With random Everyone's I love Johannaston. I think she did

1012
00:45:33,040 --> 00:45:34,839
Speaker 1: a good job. But the whole thing is like, why

1013
00:45:34,840 --> 00:45:37,600
Speaker 1: are we not just like straight up saying this is

1014
00:45:37,680 --> 00:45:40,560
Speaker 1: broken dog ship? Why do we have to couch everything with?

1015
00:45:40,760 --> 00:45:41,879
Speaker 1: But it might work in the.

1016
00:45:42,160 --> 00:45:44,640
Speaker 5: No, yeah, no, the idea is right, you put it,

1017
00:45:44,640 --> 00:45:47,800
Speaker 5: you put a agentic yeah, Claude sort of on the.

1018
00:45:47,719 --> 00:45:50,480
Speaker 1: You know agent, it's nell.

1019
00:45:51,680 --> 00:45:53,640
Speaker 5: But but right then, like oh, this will just magically

1020
00:45:53,640 --> 00:45:56,000
Speaker 5: cover all the edge cases. Well it sort of did,

1021
00:45:56,040 --> 00:45:57,600
Speaker 5: but like people were able to get it too, like the.

1022
00:45:57,520 --> 00:46:00,480
Speaker 1: Buy yeah, like make everything.

1023
00:46:00,600 --> 00:46:02,959
Speaker 5: It basically just like burned all this money because people

1024
00:46:02,960 --> 00:46:04,279
Speaker 5: were able to say, like, just get me this thing.

1025
00:46:04,320 --> 00:46:06,520
Speaker 1: I would have literally just stood by it all day.

1026
00:46:06,920 --> 00:46:08,600
Speaker 1: I would have I would have had that thing.

1027
00:46:08,760 --> 00:46:10,560
Speaker 3: This is a physical vending machine, yes.

1028
00:46:10,520 --> 00:46:12,759
Speaker 4: With this software on. I mean I remember what one

1029
00:46:12,760 --> 00:46:14,359
Speaker 4: of the part they already perfect.

1030
00:46:14,440 --> 00:46:15,760
Speaker 3: Perfect machine.

1031
00:46:19,280 --> 00:46:23,080
Speaker 1: Just go to Tokyo it's perfect go to like a guess

1032
00:46:23,120 --> 00:46:24,200
Speaker 1: station some type Like.

1033
00:46:24,320 --> 00:46:25,960
Speaker 4: What was the rationale actually for.

1034
00:46:27,400 --> 00:46:30,560
Speaker 1: Yeah, what if we invented the machine that could vend

1035
00:46:30,640 --> 00:46:32,800
Speaker 1: things Like it's just like what if you could service

1036
00:46:32,880 --> 00:46:34,720
Speaker 1: things using like queens and cash?

1037
00:46:34,920 --> 00:46:37,160
Speaker 4: Again, you know, I would have kind of expected to

1038
00:46:37,200 --> 00:46:39,279
Speaker 4: do like surveillance pricing, Like what if we were able

1039
00:46:39,280 --> 00:46:42,239
Speaker 4: to make something like yeah, it would a little bit

1040
00:46:42,239 --> 00:46:45,560
Speaker 4: and then figure out how much you.

1041
00:46:45,600 --> 00:46:48,360
Speaker 5: Like, it's the search for like surely there must be

1042
00:46:48,480 --> 00:46:51,520
Speaker 5: some use and you know.

1043
00:46:51,560 --> 00:46:52,840
Speaker 6: I mean it's it's part of like we're trying to

1044
00:46:52,880 --> 00:46:56,080
Speaker 6: like ground quote unquote AI into these like physical things

1045
00:46:56,120 --> 00:46:59,200
Speaker 6: now now that it's not just hype, and then yeah,

1046
00:46:59,239 --> 00:47:01,240
Speaker 6: you can see stuff like yes for like they're trying,

1047
00:47:01,280 --> 00:47:02,680
Speaker 6: but it's like, yeah, come on, and.

1048
00:47:02,640 --> 00:47:04,560
Speaker 5: It's a convenient bandy to slap on something, right, you

1049
00:47:04,600 --> 00:47:06,520
Speaker 5: can sort of develop a robot to do certain things

1050
00:47:06,600 --> 00:47:08,560
Speaker 5: and and it's like, okay, well, as soon as we

1051
00:47:08,640 --> 00:47:10,480
Speaker 5: get out of you know, out of our training set,

1052
00:47:10,480 --> 00:47:12,799
Speaker 5: we'll just have an LM just sort of swoop in

1053
00:47:12,880 --> 00:47:15,120
Speaker 5: and sort of magically solve it. And the reality is

1054
00:47:15,120 --> 00:47:18,160
Speaker 5: is that either it can't often or or it solves

1055
00:47:18,160 --> 00:47:21,400
Speaker 5: it in ways they create like other totally unexpected problems.

1056
00:47:20,960 --> 00:47:22,880
Speaker 1: Like the idea of them being like what if we

1057
00:47:22,920 --> 00:47:25,680
Speaker 1: did Oh yeah, it doesn't work, just like obviously broken

1058
00:47:25,800 --> 00:47:28,480
Speaker 1: doesn't work. And this is the second time Anthropics done this.

1059
00:47:29,040 --> 00:47:31,279
Speaker 1: They did a store and the way they wrote it

1060
00:47:31,320 --> 00:47:32,920
Speaker 1: was like I'm doing air quotes because it was like,

1061
00:47:33,120 --> 00:47:35,000
Speaker 1: we had it run a store. Could it work?

1062
00:47:35,120 --> 00:47:35,200
Speaker 6: No?

1063
00:47:35,719 --> 00:47:37,920
Speaker 1: It made up meetings, it made up this, it did that,

1064
00:47:37,960 --> 00:47:40,160
Speaker 1: and it was just like, yeah, guess this doesn't work.

1065
00:47:40,200 --> 00:47:42,759
Speaker 1: But if it did, we'd have a vending machine.

1066
00:47:42,800 --> 00:47:45,080
Speaker 4: There are also people who like will use. They take

1067
00:47:45,120 --> 00:47:47,920
Speaker 4: all the models that pay for the premium uses of

1068
00:47:47,920 --> 00:47:50,520
Speaker 4: them and they let them loose on the stock market,

1069
00:47:51,120 --> 00:47:52,719
Speaker 4: and they're like that, this is great, let's see who

1070
00:47:52,719 --> 00:47:54,680
Speaker 4: does best eat shit.

1071
00:47:55,120 --> 00:47:57,560
Speaker 1: We already had that with night Capital in twenty twelve.

1072
00:47:57,680 --> 00:47:58,759
Speaker 4: I think it was they had.

1073
00:47:58,800 --> 00:48:01,040
Speaker 5: I mean algorithmic trainings thing. For a while, I haven't

1074
00:48:01,080 --> 00:48:04,840
Speaker 5: I have not heard about the l M trading terrifying.

1075
00:48:05,640 --> 00:48:06,720
Speaker 1: I love that idea.

1076
00:48:06,920 --> 00:48:07,920
Speaker 4: It does not work.

1077
00:48:09,400 --> 00:48:12,720
Speaker 1: Well. It's it's because most stock advice online is bullshit.

1078
00:48:12,880 --> 00:48:15,960
Speaker 1: In fact, almost all stock advices bullshit, because if you

1079
00:48:16,040 --> 00:48:18,320
Speaker 1: actually knew what you were talking about, you wouldn't ship it.

1080
00:48:18,320 --> 00:48:20,560
Speaker 3: Would not be talking about it, would just trade.

1081
00:48:21,160 --> 00:48:23,680
Speaker 1: Yeah, it's just it's really good that they're working on

1082
00:48:23,760 --> 00:48:25,880
Speaker 1: ways to to do vending machines.

1083
00:48:25,960 --> 00:48:28,080
Speaker 4: Jesus. Do you guys feel over the past two or

1084
00:48:28,120 --> 00:48:31,279
Speaker 4: even three years that you're also seeing a lot of

1085
00:48:32,120 --> 00:48:35,080
Speaker 4: times there's a product that actually has maybe some interesting

1086
00:48:35,120 --> 00:48:38,080
Speaker 4: improvement and how it functions and and it's and and

1087
00:48:38,120 --> 00:48:40,160
Speaker 4: maybe and how a consumer can use it, But they

1088
00:48:40,320 --> 00:48:42,839
Speaker 4: just feel I cannot actually get people interest in this

1089
00:48:42,920 --> 00:48:46,000
Speaker 4: unless I say there's AI and to graft it onto this.

1090
00:48:46,760 --> 00:48:49,480
Speaker 4: I've been trying to understand because I feel like I

1091
00:48:49,560 --> 00:48:52,600
Speaker 4: keep seeing products where it's like, I don't actually understand

1092
00:48:52,600 --> 00:48:54,319
Speaker 4: what the AI here is. I talk to you, you

1093
00:48:54,360 --> 00:48:55,319
Speaker 4: don't really seem to.

1094
00:48:55,280 --> 00:48:59,640
Speaker 1: Have televisions TV. That's my answer.

1095
00:48:59,719 --> 00:49:01,680
Speaker 3: Yeah, the smart TV thing.

1096
00:49:01,760 --> 00:49:03,799
Speaker 1: Every I've been walking around, it's like, oh, does it

1097
00:49:03,800 --> 00:49:06,120
Speaker 1: help with the picture? No? No, No. If you ask

1098
00:49:06,200 --> 00:49:08,880
Speaker 1: it what what the capital of Washington state is, it

1099
00:49:08,920 --> 00:49:12,560
Speaker 1: can sometimes answer it's like great. Anything else, like could

1100
00:49:12,560 --> 00:49:15,439
Speaker 1: it control the TV's funk? Oh? God, No, you can't

1101
00:49:15,480 --> 00:49:17,360
Speaker 1: turn the volume up, And even if it could, it

1102
00:49:17,360 --> 00:49:20,440
Speaker 1: would be like volume up, volume messed up.

1103
00:49:20,800 --> 00:49:23,400
Speaker 6: It's honestly, I think that the thing for me actually

1104
00:49:23,520 --> 00:49:25,920
Speaker 6: to circle back to where we started maybe the smart glasses.

1105
00:49:26,160 --> 00:49:29,440
Speaker 3: Yeah, smart glasses were kind kind of kind.

1106
00:49:29,239 --> 00:49:31,879
Speaker 6: Of the same like three four years ago, and they're

1107
00:49:31,880 --> 00:49:34,239
Speaker 6: now trying to keep selling them by by framing them

1108
00:49:34,239 --> 00:49:37,000
Speaker 6: as you know, AI powered smart glasses, when the practical

1109
00:49:37,040 --> 00:49:42,160
Speaker 6: functionality is almost identical and you have you had that

1110
00:49:42,200 --> 00:49:45,760
Speaker 6: one like New York startup, it was like that cheating

1111
00:49:45,760 --> 00:49:49,400
Speaker 6: smart glasses clearly clearly Oh yeah right, So like they're

1112
00:49:49,640 --> 00:49:52,440
Speaker 6: trying to find these these ways to like make smart glasses,

1113
00:49:52,880 --> 00:49:55,880
Speaker 6: to like find fine find ways to convince people to

1114
00:49:55,880 --> 00:49:57,000
Speaker 6: tactually buy these things.

1115
00:49:57,320 --> 00:50:00,000
Speaker 1: It's just like what freak would use them?

1116
00:50:00,360 --> 00:50:01,480
Speaker 3: And that's the problem.

1117
00:50:01,480 --> 00:50:03,960
Speaker 6: And the only the only thing that's actually think got

1118
00:50:04,000 --> 00:50:06,840
Speaker 6: people to buy the smart glasses is the covert recording.

1119
00:50:07,719 --> 00:50:10,160
Speaker 6: That's the only thing that's actually gotten people to like

1120
00:50:10,360 --> 00:50:13,000
Speaker 6: buy and wear these things is that you can secretly

1121
00:50:13,040 --> 00:50:13,680
Speaker 6: record people.

1122
00:50:13,960 --> 00:50:16,760
Speaker 3: And that's that, more than the AI thing has actually

1123
00:50:16,760 --> 00:50:18,440
Speaker 3: been the thing that sold these glasses.

1124
00:50:18,520 --> 00:50:20,080
Speaker 5: I wonder if there's gonna be more. I mean, like

1125
00:50:20,200 --> 00:50:22,920
Speaker 5: I remember, I'm old enough to remember the glass backlash.

1126
00:50:23,200 --> 00:50:26,239
Speaker 3: How is that not New York people break them?

1127
00:50:26,280 --> 00:50:29,839
Speaker 1: Yeah, there was this amazing video of someone on the

1128
00:50:29,880 --> 00:50:32,480
Speaker 1: subway and he's got just like exactly the kind of

1129
00:50:32,480 --> 00:50:35,759
Speaker 1: white guy know you're going to do something you can do,

1130
00:50:35,880 --> 00:50:38,239
Speaker 1: And the woman is just staring dead eyed at the

1131
00:50:38,280 --> 00:50:42,040
Speaker 1: camera just kind of like come over here, see what happens.

1132
00:50:42,120 --> 00:50:42,960
Speaker 4: Doesn't got in trouble?

1133
00:50:43,400 --> 00:50:45,680
Speaker 1: They should they should get the key to the city,

1134
00:50:46,400 --> 00:50:48,879
Speaker 1: Donnie Caliphate should elevate them.

1135
00:50:49,320 --> 00:50:50,560
Speaker 4: Yeah, we're looking into it.

1136
00:50:50,719 --> 00:50:53,800
Speaker 1: No, it's I just also like who is walking around?

1137
00:50:54,080 --> 00:50:55,879
Speaker 1: I was saying, It's just like who's walking around being

1138
00:50:55,920 --> 00:50:58,240
Speaker 1: like what the fuck is going on? What the fuck?

1139
00:50:58,440 --> 00:51:01,719
Speaker 1: What is that? It's good? Who was sitting around being

1140
00:51:01,760 --> 00:51:02,560
Speaker 1: like what kind of tree?

1141
00:51:02,760 --> 00:51:04,399
Speaker 3: That would be a great? That would be a great?

1142
00:51:04,440 --> 00:51:09,680
Speaker 3: Tim Robinson care that is just what the fuck is

1143
00:51:09,719 --> 00:51:10,120
Speaker 3: going on?

1144
00:51:10,600 --> 00:51:13,200
Speaker 4: A friend of the show case Newton once, I think,

1145
00:51:13,360 --> 00:51:17,160
Speaker 4: promoted something about how it was like this AI thing

1146
00:51:17,280 --> 00:51:19,399
Speaker 4: you could talk about and ask questions as you were

1147
00:51:19,440 --> 00:51:22,239
Speaker 4: on a drive about like maybe you're driving over a

1148
00:51:22,239 --> 00:51:24,239
Speaker 4: bridge and you're asking like, okay, like how old is

1149
00:51:24,239 --> 00:51:24,680
Speaker 4: the bridge?

1150
00:51:24,920 --> 00:51:25,600
Speaker 1: What does it mean?

1151
00:51:25,719 --> 00:51:27,400
Speaker 4: And so I was like, well you also can just

1152
00:51:27,480 --> 00:51:30,640
Speaker 4: like ask yourself those questions or look it up.

1153
00:51:30,719 --> 00:51:35,840
Speaker 6: Or like yeah, it's taking away the American the American

1154
00:51:35,920 --> 00:51:38,719
Speaker 6: right to be driving while scrolling on your phone.

1155
00:51:38,920 --> 00:51:43,600
Speaker 4: It's not, which is also funny because they sold it

1156
00:51:43,640 --> 00:51:46,040
Speaker 4: as like a safety thing. I feel like it would

1157
00:51:46,080 --> 00:51:48,920
Speaker 4: be have better standing than Actually, haven't you ever just

1158
00:51:49,000 --> 00:51:51,359
Speaker 4: want looked at something? How are they not going on there?

1159
00:51:51,360 --> 00:51:52,880
Speaker 6: How are they not marketing it as like a safety

1160
00:51:52,880 --> 00:51:54,759
Speaker 6: thing for like for like how like like a you know,

1161
00:51:54,840 --> 00:51:57,840
Speaker 6: like hands free enabled like like search while driving.

1162
00:51:57,800 --> 00:51:59,400
Speaker 4: You want to ship post while you're driving?

1163
00:52:00,160 --> 00:52:01,839
Speaker 5: It has Yeah, they have to do that.

1164
00:52:01,920 --> 00:52:04,799
Speaker 1: I just don't walk around thinking things like that. Like

1165
00:52:04,880 --> 00:52:07,600
Speaker 1: I don't do walk around and be like walk maybe

1166
00:52:07,640 --> 00:52:10,600
Speaker 1: if I'm like in a botanical god, right, what kind

1167
00:52:10,600 --> 00:52:11,200
Speaker 1: of flowers that?

1168
00:52:11,239 --> 00:52:12,680
Speaker 3: But I mean, I I do.

1169
00:52:12,800 --> 00:52:15,200
Speaker 5: I just I just write the Wikipedia all day.

1170
00:52:15,239 --> 00:52:20,000
Speaker 3: I write I working around, you know, I I do.

1171
00:52:20,239 --> 00:52:23,040
Speaker 6: I just would either remember to look it up later

1172
00:52:23,400 --> 00:52:25,680
Speaker 6: or like or take down notes to it because so

1173
00:52:25,719 --> 00:52:27,400
Speaker 6: I can enjoy the thing in person when I'm there

1174
00:52:27,400 --> 00:52:28,040
Speaker 6: and then if I want.

1175
00:52:27,920 --> 00:52:30,160
Speaker 4: To, Yeah, I don't want to disembodied being like if I.

1176
00:52:30,080 --> 00:52:31,319
Speaker 6: Want to learn about it, I can get like a

1177
00:52:31,320 --> 00:52:33,240
Speaker 6: coffee somewhere and like look it up. And that's that's

1178
00:52:33,280 --> 00:52:34,800
Speaker 6: like a separate, a separate experience.

1179
00:52:34,800 --> 00:52:37,040
Speaker 4: It's just what And it's a good one too. It's

1180
00:52:37,080 --> 00:52:39,400
Speaker 4: also good, I think, like the thing I'm always surprised

1181
00:52:39,400 --> 00:52:42,240
Speaker 4: by is they're always trying to paint any non AI

1182
00:52:42,560 --> 00:52:46,800
Speaker 4: mediated experience as a bad, inefficient, inferior experience, and that

1183
00:52:46,880 --> 00:52:48,799
Speaker 4: actually what you really want, which you don't really know

1184
00:52:48,840 --> 00:52:52,480
Speaker 4: you want, is you want to have an interlocutor that

1185
00:52:52,680 --> 00:52:53,680
Speaker 4: is not real.

1186
00:52:54,000 --> 00:52:57,360
Speaker 6: This reminds me of the very first product that I

1187
00:52:57,360 --> 00:53:01,399
Speaker 6: I that was mentioned during the ct A keynote. And

1188
00:53:01,440 --> 00:53:03,560
Speaker 6: this is something that I have not found on the

1189
00:53:03,560 --> 00:53:05,400
Speaker 6: show floor yet, and I I have to.

1190
00:53:05,520 --> 00:53:06,440
Speaker 3: I have to look it up.

1191
00:53:06,560 --> 00:53:06,840
Speaker 4: I have to.

1192
00:53:06,840 --> 00:53:08,080
Speaker 3: I have to find it and talk.

1193
00:53:07,880 --> 00:53:08,319
Speaker 4: To these people.

1194
00:53:09,120 --> 00:53:11,080
Speaker 3: It is you're you're love to set.

1195
00:53:11,160 --> 00:53:16,440
Speaker 6: Yeah, it is an AI holographic wind shield display for

1196
00:53:16,600 --> 00:53:17,040
Speaker 6: your car.

1197
00:53:17,320 --> 00:53:21,520
Speaker 1: Wait wait, wait, let's talk about it. So I know,

1198
00:53:21,680 --> 00:53:24,040
Speaker 1: I'm actually not going to be as syne as you expect,

1199
00:53:24,440 --> 00:53:27,440
Speaker 1: because this is a fairly standard thing like BMW has

1200
00:53:27,480 --> 00:53:29,799
Speaker 1: that look like heads up heads up display, which is.

1201
00:53:31,040 --> 00:53:35,080
Speaker 6: It's it's it's it's a digital interface on on the windshield.

1202
00:53:35,680 --> 00:53:38,239
Speaker 3: So it kind of already got those on the windshield.

1203
00:53:38,320 --> 00:53:40,960
Speaker 6: So the whole thing, all across the whole thing, Oh

1204
00:53:41,000 --> 00:53:41,719
Speaker 6: my god.

1205
00:53:42,120 --> 00:53:44,359
Speaker 3: Yeah, And so you have, you have like you have.

1206
00:53:44,320 --> 00:53:46,319
Speaker 6: Like you know weather, you have maps, you have all

1207
00:53:46,440 --> 00:53:49,360
Speaker 6: all these random things. If you could you compare it

1208
00:53:49,400 --> 00:53:51,319
Speaker 6: with some kind of smart glasses that you can search

1209
00:53:51,360 --> 00:53:54,320
Speaker 6: and you can see results there. God, And so I

1210
00:53:54,680 --> 00:53:56,439
Speaker 6: need to actually find the company. I need to find

1211
00:53:56,440 --> 00:53:58,239
Speaker 6: the companies like location and they ask them about it,

1212
00:53:58,280 --> 00:54:00,000
Speaker 6: and like to expect like the you know, the obvious

1213
00:54:00,080 --> 00:54:01,880
Speaker 6: like safety problems of like if something goes wrong and

1214
00:54:01,920 --> 00:54:02,800
Speaker 6: the screen gets blocked.

1215
00:54:04,000 --> 00:54:05,360
Speaker 3: But but yeah, it's.

1216
00:54:05,239 --> 00:54:06,880
Speaker 4: It's it's so funny.

1217
00:54:06,560 --> 00:54:09,359
Speaker 1: Is led by the car crash industry, like you.

1218
00:54:09,320 --> 00:54:11,319
Speaker 6: Said, like there is there is versions of this thing

1219
00:54:11,360 --> 00:54:14,040
Speaker 6: which which kind of work. I think keeping it away

1220
00:54:14,080 --> 00:54:16,400
Speaker 6: from the windshield probably a good idea. Keep keep the

1221
00:54:16,400 --> 00:54:20,120
Speaker 6: display on like the dashboard, but having it directly on

1222
00:54:20,200 --> 00:54:22,880
Speaker 6: like on like the borders and emerging onto the center

1223
00:54:22,960 --> 00:54:24,560
Speaker 6: of the entire y and.

1224
00:54:24,960 --> 00:54:27,799
Speaker 1: Your eye level, so you take your off the road.

1225
00:54:28,040 --> 00:54:29,960
Speaker 6: And you have to look to the courner and specific

1226
00:54:30,000 --> 00:54:32,080
Speaker 6: on the on the because there was like one picture

1227
00:54:32,080 --> 00:54:34,080
Speaker 6: of it during the keynote, and they have information like

1228
00:54:34,120 --> 00:54:34,919
Speaker 6: all across the board.

1229
00:54:34,920 --> 00:54:36,520
Speaker 3: So yeah, your eyes are gonna be darting to the.

1230
00:54:36,560 --> 00:54:39,319
Speaker 6: Other side to like the corner of the road to

1231
00:54:39,400 --> 00:54:41,560
Speaker 6: read some kind of like pop up thing on the screen.

1232
00:54:42,200 --> 00:54:43,919
Speaker 1: I love being on my phone. I want to be kid.

1233
00:54:44,040 --> 00:54:46,320
Speaker 1: I love the computer so much. I have so many screens,

1234
00:54:46,560 --> 00:54:48,400
Speaker 1: but I don't know. When I'm driving, I quite enjoy

1235
00:54:48,520 --> 00:54:50,719
Speaker 1: not having that. I enjoy I can listen to a

1236
00:54:50,760 --> 00:54:53,560
Speaker 1: podcast drive back from girl friend. Listen to last podcast

1237
00:54:53,680 --> 00:54:55,200
Speaker 1: on the Left the other day that was lovely and

1238
00:54:55,440 --> 00:54:59,040
Speaker 1: all about Casey Anthony, horrible, truly awful stuff. Didn't get

1239
00:54:59,080 --> 00:55:01,319
Speaker 1: that in England. But it's like that, and like the

1240
00:55:01,400 --> 00:55:03,719
Speaker 1: time when I was just facing forward and listening and

1241
00:55:03,760 --> 00:55:06,480
Speaker 1: spending some quality time with someone I love. Like when

1242
00:55:06,480 --> 00:55:08,080
Speaker 1: I'm driving on my own, I get chruts to listen

1243
00:55:08,120 --> 00:55:09,360
Speaker 1: to podcasts or listen to music.

1244
00:55:09,440 --> 00:55:12,000
Speaker 4: I don't want to bleep, I don't what's.

1245
00:55:11,800 --> 00:55:13,440
Speaker 1: The way Like I can look at the window and

1246
00:55:13,440 --> 00:55:15,560
Speaker 1: I imagine I sound like fucking Dennis Larry.

1247
00:55:15,600 --> 00:55:20,759
Speaker 4: Like driving it's a beautiful road up state, and you

1248
00:55:20,800 --> 00:55:23,439
Speaker 4: get and you get an intrusive thought, what year did

1249
00:55:23,480 --> 00:55:27,840
Speaker 4: Genghis comment? And you ask it and you and the

1250
00:55:27,880 --> 00:55:30,760
Speaker 4: screen lights up like someone threw a flash bang inside,

1251
00:55:30,960 --> 00:55:34,360
Speaker 4: because every surface gets illuminated with information.

1252
00:55:34,560 --> 00:55:37,600
Speaker 1: Genghis Calm was born in nineteen eighty two twelve fifty eight.

1253
00:55:38,840 --> 00:55:40,680
Speaker 5: For ten years, though, like the auto industry has been

1254
00:55:40,680 --> 00:55:43,279
Speaker 5: coming to CEOs and trying to do what I think

1255
00:55:43,320 --> 00:55:45,400
Speaker 5: like all of these AI companies are trying to do,

1256
00:55:45,480 --> 00:55:49,279
Speaker 5: which is ultimately either replaced like Google or really like

1257
00:55:49,320 --> 00:55:52,680
Speaker 5: your phone as like the portal to the digital realm. Yes,

1258
00:55:52,840 --> 00:55:54,960
Speaker 5: and there was and and like to to this day,

1259
00:55:55,000 --> 00:55:58,799
Speaker 5: there's still this like battle inside these OEMs of like

1260
00:55:58,880 --> 00:56:01,600
Speaker 5: of there's factions believe like that car should be cars

1261
00:56:01,600 --> 00:56:03,640
Speaker 5: and they're actually sort of you're seeing sort of like

1262
00:56:03,680 --> 00:56:06,759
Speaker 5: physical buttons come back. That pendulum is swinging back, and

1263
00:56:06,800 --> 00:56:10,399
Speaker 5: I think that's because the reality is is that your

1264
00:56:10,400 --> 00:56:12,880
Speaker 5: phone is still the best way to do all this stuff.

1265
00:56:12,880 --> 00:56:14,919
Speaker 1: But they're working on making that was I will say

1266
00:56:15,000 --> 00:56:16,920
Speaker 1: it was exciting when it was at the Renaissance Hotel.

1267
00:56:16,960 --> 00:56:20,160
Speaker 1: I saw Faraday Future. Oh they're still here. Yeah, They've

1268
00:56:20,160 --> 00:56:24,520
Speaker 1: got like these weird like dad wagons. Now, so that's

1269
00:56:24,560 --> 00:56:29,520
Speaker 1: a lot and story. Tell me if I'm wrong. Faraday

1270
00:56:29,600 --> 00:56:32,760
Speaker 1: Future is a company that sometimes makes cars but sometimes

1271
00:56:32,760 --> 00:56:33,480
Speaker 1: goes bankrupt.

1272
00:56:34,320 --> 00:56:37,200
Speaker 5: So they've managed amazing. They're one of these companies that

1273
00:56:37,640 --> 00:56:40,120
Speaker 5: like no one is quite sure how they haven't gone.

1274
00:56:40,000 --> 00:56:42,160
Speaker 1: Bankrupt they did. I'm thinking of Fisco.

1275
00:56:42,360 --> 00:56:46,440
Speaker 5: Yeah, Fiskers. We've gone through two Fiskers. Yeah yeah, No,

1276
00:56:46,520 --> 00:56:49,120
Speaker 5: there's a lot of different ones to one.

1277
00:56:49,640 --> 00:56:51,479
Speaker 4: They've gone bank wept and then they're like we're back.

1278
00:56:51,880 --> 00:56:54,759
Speaker 5: It was this guy started a second company sick I

1279
00:56:54,800 --> 00:56:56,000
Speaker 5: think was.

1280
00:56:56,000 --> 00:56:57,799
Speaker 1: The one with all the weird Chinese money market.

1281
00:56:57,920 --> 00:56:59,520
Speaker 5: Yeah. So, well so the first one was one that

1282
00:56:59,560 --> 00:57:00,960
Speaker 5: was sort of like it was like a kind of

1283
00:57:01,040 --> 00:57:03,160
Speaker 5: like sexier model s sort of it, but it was

1284
00:57:03,160 --> 00:57:05,320
Speaker 5: like a hybrid, so it wasn't quite like that electric.

1285
00:57:05,400 --> 00:57:07,520
Speaker 5: So that was sort of you know, twenty thirty fourteen

1286
00:57:07,560 --> 00:57:10,160
Speaker 5: fifteen something that went bankrupt, and then he came back

1287
00:57:10,200 --> 00:57:13,359
Speaker 5: and made this car, the Fisker Ocean Boy Future though,

1288
00:57:13,400 --> 00:57:15,400
Speaker 5: the fair Day Future. Okay, so it's like it's like

1289
00:57:15,440 --> 00:57:20,040
Speaker 5: this Chinese I think money laundering operation. I'm really you know,

1290
00:57:20,600 --> 00:57:24,240
Speaker 5: I'm not entirely sure. I'm not comfortable calling them an automaker.

1291
00:57:24,600 --> 00:57:27,680
Speaker 1: Well, they have costs them and they have like three screens.

1292
00:57:27,840 --> 00:57:29,240
Speaker 4: No, I remember they have a car.

1293
00:57:29,360 --> 00:57:33,360
Speaker 5: I think was it twenty seventeen that they there was

1294
00:57:33,400 --> 00:57:35,880
Speaker 5: a there was a they they were one of the

1295
00:57:35,680 --> 00:57:39,040
Speaker 5: in the peak sort of like post or sort of

1296
00:57:39,040 --> 00:57:43,120
Speaker 5: like Tesla fueled like car car hype era. They had

1297
00:57:43,160 --> 00:57:45,960
Speaker 5: like a legendarily them it was them an Eco. I

1298
00:57:45,960 --> 00:57:48,520
Speaker 5: get the two of them mixed up, but there were

1299
00:57:48,560 --> 00:57:52,240
Speaker 5: both of them had like legendarily like like bad but

1300
00:57:52,360 --> 00:57:55,439
Speaker 5: like expensive and massive like spectacles.

1301
00:57:54,880 --> 00:57:56,800
Speaker 1: Here that like did not go well my kind of call.

1302
00:57:56,960 --> 00:57:59,000
Speaker 5: And then like the next year they were like they

1303
00:57:59,000 --> 00:58:00,520
Speaker 5: didn't even have a booth, but they would just sort

1304
00:58:00,520 --> 00:58:01,880
Speaker 5: of like brought their car and just sort of like

1305
00:58:01,920 --> 00:58:04,520
Speaker 5: parked it on the curb and people would see it.

1306
00:58:04,960 --> 00:58:06,520
Speaker 5: And like I think they have they're supposed to have

1307
00:58:06,520 --> 00:58:08,560
Speaker 5: a factory here that I think there's like three different

1308
00:58:08,560 --> 00:58:10,480
Speaker 5: places where they're spposed to have factories. We're supposed to

1309
00:58:10,520 --> 00:58:12,720
Speaker 5: be one in southern California and one here, and then

1310
00:58:12,840 --> 00:58:14,760
Speaker 5: I feel like they pivoted to AI at some point

1311
00:58:14,760 --> 00:58:17,200
Speaker 5: there too. But I genuinely like there's only so much

1312
00:58:17,200 --> 00:58:18,120
Speaker 5: you can pay attention to.

1313
00:58:18,920 --> 00:58:22,360
Speaker 3: So it's the it's the Hoyundai mobis Mobius.

1314
00:58:22,400 --> 00:58:27,560
Speaker 6: I guess it's more holographic windshield display, which is a

1315
00:58:27,600 --> 00:58:30,480
Speaker 6: transparent display system that transforms the vehicles windshield into a

1316
00:58:30,520 --> 00:58:31,560
Speaker 6: digital interface.

1317
00:58:31,680 --> 00:58:33,320
Speaker 1: I don't I want to win.

1318
00:58:33,400 --> 00:58:36,520
Speaker 6: The technology enables to display of navigation, driving data, and

1319
00:58:36,760 --> 00:58:41,640
Speaker 6: digital content while maintaining cockfit openness invisibility.

1320
00:58:42,120 --> 00:58:44,280
Speaker 1: Someone's watching Porno on that immediately.

1321
00:58:44,480 --> 00:58:48,320
Speaker 6: Just my uber drive for being projected onto onto the windshield.

1322
00:58:48,920 --> 00:58:51,960
Speaker 1: Nice, I mean I already like everything we do it.

1323
00:58:52,000 --> 00:58:54,240
Speaker 5: Guys, look at the road. Have you seen the size

1324
00:58:54,280 --> 00:58:55,520
Speaker 5: of screens in modern cars too?

1325
00:58:55,720 --> 00:58:56,000
Speaker 1: Like you.

1326
00:58:59,440 --> 00:59:01,160
Speaker 3: Like why you can see? Why?

1327
00:59:00,920 --> 00:59:03,640
Speaker 6: Why are they projecting a fucking movie on the on

1328
00:59:03,680 --> 00:59:05,880
Speaker 6: the right side of the windsheet avatar.

1329
00:59:06,480 --> 00:59:10,080
Speaker 1: It gets where like these people don't have human experiences

1330
00:59:10,080 --> 00:59:12,600
Speaker 1: because these people all get car service one hundred. You

1331
00:59:12,600 --> 00:59:15,200
Speaker 1: think these people like getting in that car to drive

1332
00:59:15,360 --> 00:59:17,440
Speaker 1: other than like the.

1333
00:59:17,360 --> 00:59:19,160
Speaker 4: So you think they're trying to be like, how do

1334
00:59:19,240 --> 00:59:20,840
Speaker 4: we create what you want from first?

1335
00:59:21,560 --> 00:59:24,000
Speaker 1: No, it's like what do those fucking pigs who drive

1336
00:59:24,040 --> 00:59:24,760
Speaker 1: around all day?

1337
00:59:24,760 --> 00:59:25,040
Speaker 5: I don't.

1338
00:59:25,760 --> 00:59:28,480
Speaker 1: I don't look at my driver, but like when he drives,

1339
00:59:28,480 --> 00:59:30,960
Speaker 1: he seems to be looking at that transparency.

1340
00:59:31,640 --> 00:59:33,720
Speaker 6: He's just looking off into nothing. Yeah, he should be

1341
00:59:33,760 --> 00:59:34,840
Speaker 6: maximizing his efficiency.

1342
00:59:34,920 --> 00:59:37,200
Speaker 1: What if he was maxim what if he was content max.

1343
00:59:37,120 --> 00:59:39,320
Speaker 3: Why don't we have linked in on the windshield?

1344
00:59:41,080 --> 00:59:43,200
Speaker 6: But like you know, they did like parts of this,

1345
00:59:43,280 --> 00:59:45,720
Speaker 6: like like having having like the navigation map like right

1346
00:59:45,720 --> 00:59:48,520
Speaker 6: above the steering wheel. Maybe not a bad idea, maybe

1347
00:59:48,560 --> 00:59:52,280
Speaker 6: not a terrible idea, kindly happening having a movie having

1348
00:59:52,720 --> 00:59:55,440
Speaker 6: digital content displayed on the right side of the windshield.

1349
00:59:55,440 --> 00:59:57,560
Speaker 5: Like why, well, so, I'll tell you I think that

1350
00:59:58,160 --> 01:00:00,120
Speaker 5: I'm guessing. Knowing the auto industry sort of the the

1351
01:00:00,160 --> 01:00:03,160
Speaker 5: thinking behind this is probably that this is like a

1352
01:00:03,160 --> 01:00:05,040
Speaker 5: software addressable thing, right, so, in the same way that

1353
01:00:05,080 --> 01:00:06,920
Speaker 5: Tesla took all of these controls that used to be

1354
01:00:07,000 --> 01:00:09,120
Speaker 5: with knobs and buttons and dials and menus and this

1355
01:00:09,200 --> 01:00:11,760
Speaker 5: and that and put it all onto basically like an iPad,

1356
01:00:11,960 --> 01:00:13,640
Speaker 5: this is sort of the next generation of that, where

1357
01:00:13,680 --> 01:00:16,280
Speaker 5: then you have you're no longer constrained to one's screen.

1358
01:00:16,440 --> 01:00:20,120
Speaker 5: You can create like almost infinite variety. If it's sort

1359
01:00:20,120 --> 01:00:22,680
Speaker 5: of a projection based system, that's projection. That's how I

1360
01:00:22,720 --> 01:00:24,800
Speaker 5: so so. And again it's you know, I think you

1361
01:00:24,840 --> 01:00:26,680
Speaker 5: know in the auto industry, you know, you want to

1362
01:00:26,680 --> 01:00:29,400
Speaker 5: make an investment in in in hardware that you can

1363
01:00:29,440 --> 01:00:31,720
Speaker 5: then maximize over a lot of time. And so you know,

1364
01:00:31,840 --> 01:00:35,160
Speaker 5: software addressability is like the or software defined. Software defined

1365
01:00:35,200 --> 01:00:37,440
Speaker 5: vehicle is like the buzzword, right yeah, And and the

1366
01:00:37,480 --> 01:00:39,320
Speaker 5: idea is that you can do what Tesla has done,

1367
01:00:39,320 --> 01:00:41,320
Speaker 5: which nobody in the industry thought was possible, which is

1368
01:00:41,400 --> 01:00:44,240
Speaker 5: make the same car for ten fucking years and just

1369
01:00:44,440 --> 01:00:46,800
Speaker 5: you know, throw throw the plubs some like fresh software

1370
01:00:46,880 --> 01:00:49,600
Speaker 5: updates every every six months or so, high.

1371
01:00:49,400 --> 01:00:53,600
Speaker 6: High brightness, full color images directly onto the glass.

1372
01:00:54,000 --> 01:00:56,720
Speaker 1: I love this, and we have to cut this up. Well,

1373
01:00:56,760 --> 01:01:00,200
Speaker 1: we're cutting this the you said minutes. The next for

1374
01:01:00,360 --> 01:01:04,280
Speaker 1: us is from Glunt, the slot for hogs. What if

1375
01:01:04,320 --> 01:01:06,520
Speaker 1: you hear anything else, it's for Glunt, I promise you,

1376
01:01:06,640 --> 01:01:20,800
Speaker 1: But yeah, catch you in a minute. We are back

1377
01:01:20,840 --> 01:01:23,400
Speaker 1: on the show. It's the Consumer Electronics Show. I am,

1378
01:01:23,440 --> 01:01:25,960
Speaker 1: of course ed Zitron. I didn't identify myself from the

1379
01:01:26,040 --> 01:01:27,959
Speaker 1: last ones, but you know, I think you worked. Start

1380
01:01:28,040 --> 01:01:31,760
Speaker 1: by now we've got ed Niedermyer of the Autonic Cast, Hello,

1381
01:01:31,920 --> 01:01:34,600
Speaker 1: and Edward on Greater so Junior of the Tech Puble newsletter.

1382
01:01:35,240 --> 01:01:38,280
Speaker 1: I'm a joined by Henry Casey CNN Underscore. Henry, thank

1383
01:01:38,320 --> 01:01:39,800
Speaker 1: you so much for joining us again.

1384
01:01:39,760 --> 01:01:41,200
Speaker 7: And thank you for having me with here.

1385
01:01:41,520 --> 01:01:43,880
Speaker 1: So I actually I'm going to start off by saying

1386
01:01:43,960 --> 01:01:46,360
Speaker 1: I saw something I kind of liked. Maybe it's kind

1387
01:01:46,360 --> 01:01:48,760
Speaker 1: of like there's a specific use case for this, like

1388
01:01:48,800 --> 01:01:52,240
Speaker 1: show flows whatever. I saw a company that's doing wireless TVs,

1389
01:01:52,760 --> 01:01:55,000
Speaker 1: like it's a wireless bracket. You put the TV on

1390
01:01:55,080 --> 01:01:58,640
Speaker 1: it and charges that you can charge it, and they

1391
01:01:58,680 --> 01:02:01,000
Speaker 1: sell their on TVs. I thought it was cool. I

1392
01:02:01,040 --> 01:02:03,640
Speaker 1: thought it was fun that somebody did something new. And

1393
01:02:03,680 --> 01:02:05,720
Speaker 1: maybe this is just how beaten down I am from

1394
01:02:05,800 --> 01:02:08,800
Speaker 1: years of CS. I'm like, what if a TV was wireless?

1395
01:02:08,840 --> 01:02:11,760
Speaker 1: I guess, and it's like, yeah, I saw that. I

1396
01:02:11,800 --> 01:02:13,600
Speaker 1: talked to them for longer than I think they expected

1397
01:02:13,640 --> 01:02:15,480
Speaker 1: and then just walked off. And I think they expected

1398
01:02:15,480 --> 01:02:17,160
Speaker 1: I was gonna get a business cards. I didn't.

1399
01:02:17,720 --> 01:02:19,760
Speaker 7: So it has like a battery packing of it on

1400
01:02:19,800 --> 01:02:21,760
Speaker 7: a charge. Again, you pull it somewhere else, or how

1401
01:02:21,800 --> 01:02:22,560
Speaker 7: wireless is it?

1402
01:02:22,720 --> 01:02:24,640
Speaker 1: You have to You can put any TV on the thing,

1403
01:02:25,360 --> 01:02:27,920
Speaker 1: you click it in and it powers the TV and

1404
01:02:27,960 --> 01:02:30,040
Speaker 1: they o their own ones as well. I thought it

1405
01:02:30,080 --> 01:02:32,160
Speaker 1: was fun. I thought it was fun, And now now

1406
01:02:32,200 --> 01:02:34,479
Speaker 1: saying it out loud, I see the kind of dead

1407
01:02:34,480 --> 01:02:36,840
Speaker 1: eyes of everyone looking at me. I'm like, maybe maybe

1408
01:02:36,840 --> 01:02:40,280
Speaker 1: I slightly had more fun with this than anyone else.

1409
01:02:40,440 --> 01:02:41,320
Speaker 1: Ever will it.

1410
01:02:41,280 --> 01:02:42,920
Speaker 5: Sounds like it would kill with those people who are

1411
01:02:42,960 --> 01:02:44,560
Speaker 5: like obsessive about cable management.

1412
01:02:44,800 --> 01:02:48,080
Speaker 1: No, they did. They also may have did. They didn't

1413
01:02:48,120 --> 01:02:49,960
Speaker 1: laugh when I said this, even though I thought it

1414
01:02:50,000 --> 01:02:51,800
Speaker 1: was very I was like, they were like, oh, yeah,

1415
01:02:51,800 --> 01:02:53,040
Speaker 1: you got the you can do one hundred and ten

1416
01:02:53,120 --> 01:02:55,000
Speaker 1: inch with four TV screens and they were like yeah,

1417
01:02:55,120 --> 01:02:57,040
Speaker 1: sort of like trade shows. I'm like, yeah, that's useful.

1418
01:02:57,360 --> 01:02:59,320
Speaker 1: Or you could be like one of those insane gambling

1419
01:02:59,360 --> 01:03:01,800
Speaker 1: guys with TVs. And the woman just stared at me,

1420
01:03:02,520 --> 01:03:05,320
Speaker 1: just fucking I'd love to watch four sports games I love,

1421
01:03:05,480 --> 01:03:08,720
Speaker 1: like that's part of the fun of Vegas.

1422
01:03:07,880 --> 01:03:09,920
Speaker 7: Or the Oultimate Mario Kark Tournament.

1423
01:03:09,720 --> 01:03:15,600
Speaker 1: Marricot Tournament, Land Party Brothers, Smash Brothers. I did also see. Actually,

1424
01:03:15,680 --> 01:03:17,640
Speaker 1: and this is a genuinely good thing. It was a

1425
01:03:17,680 --> 01:03:20,640
Speaker 1: company called aura At a Mini Led four K TV.

1426
01:03:21,000 --> 01:03:24,680
Speaker 1: It was eighty five inches fifteen one five hundred ninety

1427
01:03:24,760 --> 01:03:27,440
Speaker 1: nine dollars, sorry, fifteen hundred dollars, and it came with

1428
01:03:27,480 --> 01:03:31,200
Speaker 1: the soundbar built into it. That's nice, Mini led big TV. Again,

1429
01:03:31,240 --> 01:03:33,520
Speaker 1: we're describing the things like it's just the thing that exists,

1430
01:03:33,520 --> 01:03:34,320
Speaker 1: but slightly better.

1431
01:03:34,560 --> 01:03:37,120
Speaker 4: It's all big as outdoor TV. Or it was one

1432
01:03:37,160 --> 01:03:39,360
Speaker 4: hundred hundred I mean, I don't know it felt like

1433
01:03:39,360 --> 01:03:41,320
Speaker 4: one hundred inches, but I have no idea how large

1434
01:03:41,320 --> 01:03:43,880
Speaker 4: it was. But at the same time, I do think

1435
01:03:44,080 --> 01:03:46,600
Speaker 4: that when I saw the marketing and outdoor TV, I

1436
01:03:46,640 --> 01:03:47,880
Speaker 4: was like, I think they should be illegal for an

1437
01:03:47,880 --> 01:03:51,040
Speaker 4: individual to buy it, but maybe we can let the businesses,

1438
01:03:51,160 --> 01:03:53,080
Speaker 4: you know, they let them buy these outdoor TVs.

1439
01:03:53,080 --> 01:03:54,680
Speaker 1: I mean, if you've got you have a TV in

1440
01:03:54,720 --> 01:03:55,640
Speaker 1: the garden.

1441
01:03:56,840 --> 01:04:01,080
Speaker 4: For the have the garden in the hot tip, the

1442
01:04:01,120 --> 01:04:01,480
Speaker 4: garden of.

1443
01:04:01,480 --> 01:04:04,240
Speaker 1: The hospitals, you want to have to smoke outside.

1444
01:04:04,520 --> 01:04:06,400
Speaker 7: You don't think there would have been an outdoor television

1445
01:04:06,400 --> 01:04:09,080
Speaker 7: but side Tony Sopranos Pool like, come.

1446
01:04:08,920 --> 01:04:12,320
Speaker 1: On, they also had them for a long time.

1447
01:04:13,240 --> 01:04:15,080
Speaker 4: I'm just saying, I'm coming in from New York. We're

1448
01:04:15,240 --> 01:04:17,320
Speaker 4: we're looking into it, and we're gonna ban them into

1449
01:04:17,360 --> 01:04:21,560
Speaker 4: mom Donnie Telephant, Okay, we're looking into outdoor television.

1450
01:04:22,080 --> 01:04:25,840
Speaker 1: Donnie's struggle sessions for outdoor TV. Hey, listen, we're starting

1451
01:04:25,840 --> 01:04:29,000
Speaker 1: there for landlords. It's the good Ship, Henry. What have

1452
01:04:29,040 --> 01:04:30,600
Speaker 1: you seen at the show? Now that now that my

1453
01:04:30,720 --> 01:04:32,600
Speaker 1: two things I like to bummed.

1454
01:04:32,920 --> 01:04:37,640
Speaker 7: Well bounce off the wireless TV stuff. It's not exactly wireless.

1455
01:04:37,640 --> 01:04:39,480
Speaker 7: You can see the one wire connection going to it.

1456
01:04:39,480 --> 01:04:43,760
Speaker 7: But LG's new Wallpaper TV is their new kind of

1457
01:04:43,800 --> 01:04:45,840
Speaker 7: take on what if an art TV was also an

1458
01:04:45,840 --> 01:04:49,120
Speaker 7: old led TV. Art TV is for the uninitiated. Samsung's

1459
01:04:49,160 --> 01:04:51,640
Speaker 7: frames you can put this is like an old ledge,

1460
01:04:51,640 --> 01:04:53,240
Speaker 7: So you don't really want to have a static image

1461
01:04:53,240 --> 01:04:56,440
Speaker 7: because you're gonna ruin your television that was burning. Instead,

1462
01:04:57,000 --> 01:04:59,480
Speaker 7: you can have a slideshow mode of your art, but

1463
01:04:59,560 --> 01:05:03,000
Speaker 7: it's it's like a nine millimeters thick and there's one

1464
01:05:03,080 --> 01:05:05,800
Speaker 7: power coming out of the back corner. You can hide it.

1465
01:05:05,840 --> 01:05:08,080
Speaker 7: And Samsung has been doing similar with the Frame Pro.

1466
01:05:08,480 --> 01:05:10,880
Speaker 7: But the thing I'm most excited about is it an

1467
01:05:10,880 --> 01:05:15,240
Speaker 7: eighty dollars ten thousand million power bank from Nimble. It

1468
01:05:15,280 --> 01:05:18,200
Speaker 7: breaks in half and one half has a USB connectors

1469
01:05:18,360 --> 01:05:21,520
Speaker 7: that unfolds. The other half has a USBC cable. So

1470
01:05:22,320 --> 01:05:25,000
Speaker 7: my best friend when we go out, he never brings

1471
01:05:25,000 --> 01:05:28,800
Speaker 7: a portable charger. I do now share the wealth, don't

1472
01:05:28,840 --> 01:05:30,880
Speaker 7: have to sit next to each other. And it's like

1473
01:05:31,000 --> 01:05:34,520
Speaker 7: actually solving a problem, which is like the CES question

1474
01:05:34,560 --> 01:05:38,840
Speaker 7: of like is this solving a shareholder dilemma and capitalism

1475
01:05:38,880 --> 01:05:41,200
Speaker 7: growth or is it doing something that like my parents

1476
01:05:41,240 --> 01:05:43,400
Speaker 7: will really like because one of them will remember to

1477
01:05:43,400 --> 01:05:45,200
Speaker 7: bring it and the other one will never remember.

1478
01:05:45,320 --> 01:05:47,720
Speaker 1: Yeah, that's the thing. Like, oh look I saw an

1479
01:05:47,800 --> 01:05:50,600
Speaker 1: LG thing where it was again another wireless team. There's

1480
01:05:50,640 --> 01:05:52,640
Speaker 1: a few of these things, but it was basically you

1481
01:05:52,680 --> 01:05:54,160
Speaker 1: have the TV in one plug and then you could

1482
01:05:54,200 --> 01:05:56,960
Speaker 1: plugle the hdmi shit into it. It was low latency,

1483
01:05:57,120 --> 01:06:00,240
Speaker 1: no latency. That's cool. But again it's like every we're

1484
01:06:00,280 --> 01:06:02,840
Speaker 1: describing doesn't feel like the future. Like I'm just I'm

1485
01:06:02,840 --> 01:06:04,840
Speaker 1: saying these things out loud. I'm like, yay, what if

1486
01:06:04,880 --> 01:06:06,920
Speaker 1: something was like uh, but that's right.

1487
01:06:06,960 --> 01:06:09,160
Speaker 5: That's like the bifurcation of the show is that it's

1488
01:06:09,200 --> 01:06:12,360
Speaker 5: either right these like small iterations that are actually useful,

1489
01:06:12,480 --> 01:06:14,800
Speaker 5: or it's these like wild behind the sky that will never.

1490
01:06:14,720 --> 01:06:15,720
Speaker 1: Apply, just don't work.

1491
01:06:15,840 --> 01:06:17,920
Speaker 5: Yeah, and you kind of have to have both for

1492
01:06:17,960 --> 01:06:18,320
Speaker 5: a show.

1493
01:06:18,640 --> 01:06:20,959
Speaker 1: I mean, do you know what I actually you don't

1494
01:06:21,040 --> 01:06:23,840
Speaker 1: have to have the vapor West stuff. It would be

1495
01:06:23,920 --> 01:06:26,560
Speaker 1: nice if because I don't know, maybe we're just out

1496
01:06:26,600 --> 01:06:29,800
Speaker 1: of ideas, but I don't I know that it may

1497
01:06:29,840 --> 01:06:31,600
Speaker 1: seem like I'm a huge synic. I would love to

1498
01:06:31,600 --> 01:06:34,080
Speaker 1: be wowed. I would love to be amazed, and I

1499
01:06:34,080 --> 01:06:37,200
Speaker 1: would love to see stuff that maybe go, Wow, new

1500
01:06:37,440 --> 01:06:38,400
Speaker 1: thing that I like.

1501
01:06:38,880 --> 01:06:42,000
Speaker 7: I'll be the positive guy again because okay, vaporware that

1502
01:06:42,080 --> 01:06:44,640
Speaker 7: becomes actual product and it wasn't vape word to begin with.

1503
01:06:44,920 --> 01:06:47,480
Speaker 7: We see the words concept product a lot of Yes.

1504
01:06:48,440 --> 01:06:50,320
Speaker 7: I think I might have mentioned last year that Lenovo

1505
01:06:50,480 --> 01:06:53,680
Speaker 7: had a laptop that would rotate it screen to try. Yeah,

1506
01:06:53,800 --> 01:06:56,080
Speaker 7: that's actually going to be for sale. They announced they

1507
01:06:56,120 --> 01:06:58,400
Speaker 7: showed off the finished version of it this year. That

1508
01:06:58,560 --> 01:07:01,600
Speaker 7: much the price escapes me. I'm not even sure, but

1509
01:07:02,320 --> 01:07:02,880
Speaker 7: that's the thing.

1510
01:07:03,160 --> 01:07:04,600
Speaker 1: That's the thing they I.

1511
01:07:04,600 --> 01:07:07,800
Speaker 7: Didn't write the article. My coworker CNN underscored he's got

1512
01:07:07,840 --> 01:07:10,680
Speaker 7: a video on it. We but no, it's it's it's

1513
01:07:10,720 --> 01:07:13,120
Speaker 7: like you knock on the lidden. It opened up on

1514
01:07:13,160 --> 01:07:15,960
Speaker 7: its own, and if you're in the kitchen and you're

1515
01:07:16,000 --> 01:07:18,680
Speaker 7: wanting to watch to read a recipe on your laptop

1516
01:07:18,680 --> 01:07:22,280
Speaker 7: screen and you're moving your head around, I could see

1517
01:07:22,280 --> 01:07:25,560
Speaker 7: that being useful also, content creators, Twitch people like all

1518
01:07:25,560 --> 01:07:27,920
Speaker 7: the sorts of people there is like it's a weird,

1519
01:07:28,160 --> 01:07:30,400
Speaker 7: you're gonna figure out who needs this, But it's something

1520
01:07:30,440 --> 01:07:32,960
Speaker 7: that was seemed like vaporware one year and actually is

1521
01:07:33,000 --> 01:07:34,880
Speaker 7: on sale and it's gonna come to sale the next

1522
01:07:35,120 --> 01:07:37,680
Speaker 7: So it's sort of like saying, hey, I don't think

1523
01:07:37,760 --> 01:07:41,240
Speaker 7: Cees is just for the next version of the humane human,

1524
01:07:41,440 --> 01:07:42,960
Speaker 7: the friend pendent like stuff like that.

1525
01:07:43,360 --> 01:07:46,480
Speaker 1: You have you seen any friend pendants? Though I'm looking,

1526
01:07:46,680 --> 01:07:50,480
Speaker 1: I'm looking for anything like that. I won't I want Oh.

1527
01:07:51,080 --> 01:07:52,760
Speaker 4: I think I saw, I saw. I did not get

1528
01:07:52,800 --> 01:07:55,200
Speaker 4: to go to the pendant. But there's there's a pendant

1529
01:07:55,320 --> 01:07:58,600
Speaker 4: on the Venetian Expo floor that I have to I

1530
01:07:58,600 --> 01:08:00,000
Speaker 4: have to chat with them about. I was a little

1531
01:08:00,200 --> 01:08:02,080
Speaker 4: too taken with all the biomeds.

1532
01:08:01,520 --> 01:08:04,680
Speaker 1: To Okay, No, I I really want to. I want

1533
01:08:04,760 --> 01:08:08,200
Speaker 1: more AI. That's hostile towards you. I want Look when

1534
01:08:08,240 --> 01:08:10,120
Speaker 1: Victoria was on a few months ago, where it was

1535
01:08:10,200 --> 01:08:13,760
Speaker 1: just like, no, that's not true. Just gaslight me. It's like,

1536
01:08:13,920 --> 01:08:16,160
Speaker 1: fuck me up, because you know what, stop pretending this

1537
01:08:16,200 --> 01:08:19,240
Speaker 1: is gonna be my friend, because I know it won't be. Yeah,

1538
01:08:19,360 --> 01:08:19,799
Speaker 1: I mean.

1539
01:08:19,760 --> 01:08:21,439
Speaker 4: I do love when they're like, hey, you know, like

1540
01:08:21,520 --> 01:08:24,240
Speaker 4: we're gonna have robots in these workplaces and they're just

1541
01:08:24,240 --> 01:08:26,719
Speaker 4: gonna be your buddy. Yeah, I'm not gonna be your worker,

1542
01:08:26,760 --> 01:08:28,400
Speaker 4: You're not gonna be your colleague. They're gonna be your slave.

1543
01:08:28,400 --> 01:08:29,160
Speaker 4: They're gonna be your buddy.

1544
01:08:29,240 --> 01:08:31,200
Speaker 1: So I was going through my photos as well, trying

1545
01:08:31,200 --> 01:08:33,200
Speaker 1: to find something useful. But I did find a booth

1546
01:08:33,200 --> 01:08:34,600
Speaker 1: where I could not work out what they did. It

1547
01:08:34,680 --> 01:08:37,840
Speaker 1: was just called wow Now and the tagline was make

1548
01:08:37,840 --> 01:08:41,959
Speaker 1: your inside outside, Make your inside outside.

1549
01:08:42,720 --> 01:08:44,080
Speaker 7: David Cronenberg.

1550
01:08:45,200 --> 01:08:48,200
Speaker 4: Thinks, but actually that is actually the plot of Shrouds.

1551
01:08:49,560 --> 01:08:51,040
Speaker 7: It's one of the best movies of the year.

1552
01:08:51,400 --> 01:08:52,759
Speaker 4: Yes, yes, exactly.

1553
01:08:52,840 --> 01:08:56,200
Speaker 1: It's a defense against fairies when you turn your clothes

1554
01:08:56,240 --> 01:08:58,080
Speaker 1: inside out. That's the only way they don't get.

1555
01:08:58,120 --> 01:08:59,360
Speaker 4: We will talk about that after.

1556
01:08:59,479 --> 01:09:01,479
Speaker 1: I saw a comebody called Palm where the logo kind

1557
01:09:01,479 --> 01:09:04,280
Speaker 1: of looked like you said, pawn. That was nice. Yeah,

1558
01:09:04,320 --> 01:09:07,320
Speaker 1: it's I really, I really did. Look. I've been looking

1559
01:09:07,360 --> 01:09:09,240
Speaker 1: for stuff. I saw a company called Zeus that was

1560
01:09:09,280 --> 01:09:12,280
Speaker 1: claiming they had the only GPUH designed for high performance workloads.

1561
01:09:12,280 --> 01:09:15,479
Speaker 4: And it's like they got love sense again, what's love sense?

1562
01:09:16,120 --> 01:09:22,000
Speaker 4: Sex toys? That's nice, but a little you know, maybe yeah, yeah,

1563
01:09:23,280 --> 01:09:27,360
Speaker 4: just got some software power hat, power hat.

1564
01:09:27,439 --> 01:09:29,120
Speaker 1: You put the hound it's like and it gives you

1565
01:09:29,160 --> 01:09:31,360
Speaker 1: power one of those floppy hats. It connects to like

1566
01:09:31,360 --> 01:09:35,320
Speaker 1: a solar charger. I guess. Yeah, And dual USB A

1567
01:09:35,439 --> 01:09:40,599
Speaker 1: and jew USB seaports. You know what's a bit that's

1568
01:09:40,720 --> 01:09:43,160
Speaker 1: that is the only permissible one is like if you're

1569
01:09:43,200 --> 01:09:46,920
Speaker 1: like long distance hiking or a fisher. But the people

1570
01:09:46,960 --> 01:09:49,800
Speaker 1: buying this might maybe they'll be outdoors people like Robert Evans,

1571
01:09:49,880 --> 01:09:51,400
Speaker 1: I know, does a bunch of a bunch of like

1572
01:09:51,560 --> 01:09:53,400
Speaker 1: so I think he's done solo stuff where he's just

1573
01:09:53,439 --> 01:09:56,080
Speaker 1: like when he goes into the woods for a few months,

1574
01:09:56,120 --> 01:09:59,320
Speaker 1: like to hunt the Sasquatch. I'll ask him about that later,

1575
01:09:59,439 --> 01:10:01,720
Speaker 1: but it's like that makes sense, But I just I

1576
01:10:01,800 --> 01:10:03,880
Speaker 1: see this. I'm like, I want to believe man, but

1577
01:10:04,000 --> 01:10:04,519
Speaker 1: probably I.

1578
01:10:04,880 --> 01:10:07,240
Speaker 4: Believe them when they do a solar bonnet when they

1579
01:10:07,240 --> 01:10:10,479
Speaker 4: do from my people, then I know this series about this.

1580
01:10:12,880 --> 01:10:16,800
Speaker 7: The Solar par Real Canadian mouthy hat. He's always gonna

1581
01:10:16,800 --> 01:10:19,120
Speaker 7: be the Brandon Bastard every other year, Like come on.

1582
01:10:19,200 --> 01:10:22,080
Speaker 1: That big ass hack could probably fit fit PlayStation five

1583
01:10:22,120 --> 01:10:22,479
Speaker 1: on there.

1584
01:10:23,000 --> 01:10:25,200
Speaker 7: We won't get granted six anytime soon.

1585
01:10:25,080 --> 01:10:28,439
Speaker 1: But you know, will we get another pop banger like Happy? Well,

1586
01:10:28,520 --> 01:10:33,040
Speaker 1: not like we're getting any this year. Oh Fly or

1587
01:10:33,080 --> 01:10:35,240
Speaker 1: Die is a perfect album and he never made anything

1588
01:10:35,280 --> 01:10:38,439
Speaker 1: better than it. Farrel Williams come on my show and

1589
01:10:38,479 --> 01:10:41,920
Speaker 1: talk specifically about two thousand and five's Fly or Die

1590
01:10:42,240 --> 01:10:44,080
Speaker 1: Classic album. Great album. You should all listen to it.

1591
01:10:44,080 --> 01:10:44,960
Speaker 1: Email me if you've listened.

1592
01:10:44,960 --> 01:10:46,879
Speaker 4: We're talking about his beef with the Neptunes.

1593
01:10:47,160 --> 01:10:49,920
Speaker 1: No, not interested, just the album, and then he can

1594
01:10:49,960 --> 01:10:52,080
Speaker 1: explain to me why he hasn't made anything good like that.

1595
01:10:52,200 --> 01:10:55,800
Speaker 4: Since you don't think the Lego movie soundtrack was gonna

1596
01:10:55,800 --> 01:10:56,200
Speaker 4: be good.

1597
01:10:56,320 --> 01:10:59,759
Speaker 1: I think the Despicable meath had a pretty good soundtrack.

1598
01:10:59,800 --> 01:11:01,559
Speaker 1: I'll give it. I will give him the fact that

1599
01:11:01,560 --> 01:11:06,040
Speaker 1: Despicable Me despoakable me too. And to speak, three, no

1600
01:11:06,120 --> 01:11:11,360
Speaker 1: banana fucking. I had not thought about nano banana all day.

1601
01:11:11,800 --> 01:11:14,800
Speaker 5: It's not my fault. So one of the going the

1602
01:11:14,840 --> 01:11:17,519
Speaker 5: things that that makes this like absurd stuff so so

1603
01:11:17,880 --> 01:11:20,400
Speaker 5: interesting and so extra absurde to me is that there

1604
01:11:20,439 --> 01:11:23,400
Speaker 5: is like legitimate technological innovation going on right now. Like

1605
01:11:23,439 --> 01:11:25,719
Speaker 5: one of the big announcements is not kind of arguably

1606
01:11:25,720 --> 01:11:27,800
Speaker 5: the bigges announcement in the mobility space as this company

1607
01:11:27,840 --> 01:11:31,320
Speaker 5: called Donut Lab, and they're they're basically beat all the

1608
01:11:31,320 --> 01:11:33,760
Speaker 5: major automakers and battery companies to the punch on a

1609
01:11:34,200 --> 01:11:37,080
Speaker 5: or at least they say they have to a solid

1610
01:11:37,080 --> 01:11:40,800
Speaker 5: state battery and this something that means yeah, it just

1611
01:11:40,840 --> 01:11:44,840
Speaker 5: means so. Uh, it just means that it's it's solid.

1612
01:11:44,840 --> 01:11:48,040
Speaker 5: So it's a completely the rather than using a liquid

1613
01:11:48,280 --> 01:11:51,360
Speaker 5: or gel in the in the anode. It's it's just

1614
01:11:51,920 --> 01:11:53,040
Speaker 5: the whole battery is solid state.

1615
01:11:53,160 --> 01:11:55,479
Speaker 1: Yes, so just to be stupid, because I really don't know.

1616
01:11:55,800 --> 01:11:57,960
Speaker 1: Regular batteries are full of like liquids.

1617
01:11:58,320 --> 01:12:01,080
Speaker 5: Yes, I know, it's a it's a an electrolt yeah,

1618
01:12:01,400 --> 01:12:02,160
Speaker 5: fluid electrolyte.

1619
01:12:02,200 --> 01:12:05,320
Speaker 1: And and the solid state is just a break of something. Yeah,

1620
01:12:05,479 --> 01:12:06,000
Speaker 1: that's cool.

1621
01:12:06,080 --> 01:12:09,040
Speaker 5: It is, and and it has like really specific advantages.

1622
01:12:09,120 --> 01:12:11,839
Speaker 5: So like they claim four hundred water hours per kilogram,

1623
01:12:12,280 --> 01:12:15,920
Speaker 5: like you know, not much denser than like modern you know, uh,

1624
01:12:16,120 --> 01:12:19,120
Speaker 5: like the current state of the art. But they say

1625
01:12:19,160 --> 01:12:21,519
Speaker 5: you can charge it in five minutes. I think what

1626
01:12:21,600 --> 01:12:22,120
Speaker 5: they said, like.

1627
01:12:22,120 --> 01:12:24,400
Speaker 1: Oh that's why the liquid ones charge slow. Yeah.

1628
01:12:24,439 --> 01:12:26,519
Speaker 5: So and what happens too is with the liquid ones,

1629
01:12:26,720 --> 01:12:29,599
Speaker 5: like they form dendrites and things, and so it's it's

1630
01:12:29,680 --> 01:12:32,960
Speaker 5: not it's I know, I get I get above my

1631
01:12:33,000 --> 01:12:35,240
Speaker 5: own pay grade really fast with this battery. Technology is

1632
01:12:35,280 --> 01:12:37,320
Speaker 5: like really complex, but basically you can think of it

1633
01:12:37,360 --> 01:12:39,080
Speaker 5: as like sort of almost like crystalline structures.

1634
01:12:39,560 --> 01:12:41,760
Speaker 1: Okay, so things full insight and slow them down.

1635
01:12:41,920 --> 01:12:44,880
Speaker 5: Yeah, and and and it creates friction and heat and

1636
01:12:44,920 --> 01:12:49,680
Speaker 5: then fire the solid the solid state does not have

1637
01:12:49,680 --> 01:12:53,360
Speaker 5: that issue. So it's like unaffected by temperature cool and

1638
01:12:53,640 --> 01:12:56,120
Speaker 5: and you can charge it really really that's actually.

1639
01:12:55,760 --> 01:12:58,640
Speaker 4: Like really good. And that unlocks does that unlock new

1640
01:12:58,680 --> 01:13:00,280
Speaker 4: to use cases? Then if it's like you don't have

1641
01:13:00,320 --> 01:13:02,400
Speaker 4: to worry about the internal temperature, maybe you can run

1642
01:13:02,400 --> 01:13:04,000
Speaker 4: it a little bit hotter than well.

1643
01:13:03,960 --> 01:13:05,479
Speaker 1: I mean it would it would be.

1644
01:13:05,600 --> 01:13:08,120
Speaker 5: It's so, I mean, I like, ideally, this is this

1645
01:13:08,200 --> 01:13:09,960
Speaker 5: is the future, right, and and so like all the

1646
01:13:09,960 --> 01:13:12,479
Speaker 5: major automakers are are doing this, and they all make

1647
01:13:12,560 --> 01:13:16,120
Speaker 5: kind of somewhat similar claim. So like right they say, like, uh,

1648
01:13:16,280 --> 01:13:19,080
Speaker 5: you fully charge in ten minutes, sixty kilometers will combined

1649
01:13:19,160 --> 01:13:22,000
Speaker 5: range per minute of charging and up to see six

1650
01:13:22,120 --> 01:13:24,479
Speaker 5: hundred kilometers on a single sorry for the metrics.

1651
01:13:24,520 --> 01:13:26,040
Speaker 1: No, No, this is great. No.

1652
01:13:26,760 --> 01:13:29,760
Speaker 5: So I think like it's this is something that that right,

1653
01:13:29,840 --> 01:13:31,920
Speaker 5: Toyota has been working on talking about for a long time.

1654
01:13:32,040 --> 01:13:34,679
Speaker 5: Hyundai's doing it, like the Chinese battery supplies as well.

1655
01:13:35,600 --> 01:13:38,479
Speaker 5: I think this is like a little British consulting firm

1656
01:13:38,600 --> 01:13:41,320
Speaker 5: and their first use case is a motorcycle, so it's

1657
01:13:41,360 --> 01:13:45,360
Speaker 5: a little questionable show it. Yeah, so apparently the motorcycles

1658
01:13:45,400 --> 01:13:47,240
Speaker 5: are going to be shipping this year so like or

1659
01:13:47,240 --> 01:13:48,479
Speaker 5: like first quarter of this year.

1660
01:13:48,320 --> 01:13:50,200
Speaker 4: So they should have a guy just doing the six

1661
01:13:50,240 --> 01:13:52,439
Speaker 4: hundred klometers around.

1662
01:13:52,880 --> 01:13:55,640
Speaker 5: Well, and with all this stuff anything automotive you got

1663
01:13:55,680 --> 01:13:58,400
Speaker 5: evalidated over so many miles, and the idea that they're

1664
01:13:58,400 --> 01:14:00,479
Speaker 5: going to be able to build this at at the

1665
01:14:00,560 --> 01:14:02,160
Speaker 5: quality and then and carelessness.

1666
01:14:02,280 --> 01:14:05,080
Speaker 7: Yeah, but this is the city of traffic and the

1667
01:14:05,160 --> 01:14:07,439
Speaker 7: frustration beating around. How you talk to any journalists doing

1668
01:14:07,479 --> 01:14:09,840
Speaker 7: ces this year, you will see somebody who has been

1669
01:14:09,880 --> 01:14:12,880
Speaker 7: frustrated about how long it takes an uber. Yeah, and

1670
01:14:12,920 --> 01:14:15,599
Speaker 7: that is the kind of thing where hands on or

1671
01:14:16,120 --> 01:14:18,559
Speaker 7: hands off demos are the thing that would really sell

1672
01:14:18,600 --> 01:14:20,280
Speaker 7: it and have like even.

1673
01:14:20,120 --> 01:14:22,679
Speaker 1: Like an e bike would be Yeah.

1674
01:14:22,800 --> 01:14:24,320
Speaker 5: Yeah, I just read about it. I wasn't at their

1675
01:14:24,360 --> 01:14:25,920
Speaker 5: event or anything. I haven't been in touch with them,

1676
01:14:25,960 --> 01:14:28,479
Speaker 5: so they may be getting down something. But I think

1677
01:14:28,479 --> 01:14:30,360
Speaker 5: that what I've read about it, like there's a little

1678
01:14:30,360 --> 01:14:32,840
Speaker 5: bit of like how are these guys like kind of the.

1679
01:14:32,760 --> 01:14:36,800
Speaker 1: First that's my first thought, Like it's a little British consultancy,

1680
01:14:36,880 --> 01:14:40,439
Speaker 1: never ever trust the British and also just is Britain

1681
01:14:40,479 --> 01:14:42,960
Speaker 1: a hub for battery technology?

1682
01:14:43,240 --> 01:14:43,880
Speaker 5: It has been more so?

1683
01:14:44,000 --> 01:14:46,840
Speaker 1: Okay, yeah, so like I don't want this to be fake,

1684
01:14:46,920 --> 01:14:47,840
Speaker 1: I want this to be real.

1685
01:14:47,960 --> 01:14:51,839
Speaker 5: No, no, like there are incredible British engineering outfits, especially

1686
01:14:51,840 --> 01:14:53,280
Speaker 5: in the odd motive space. So like a lot of

1687
01:14:53,280 --> 01:14:56,080
Speaker 5: Formula one engineering work takes place in the UK, right

1688
01:14:56,320 --> 01:14:59,080
Speaker 5: of course, yeah and so, and that's all heavily electrified

1689
01:14:59,120 --> 01:15:02,439
Speaker 5: now and becoming more so with the new twenty twenty.

1690
01:15:03,200 --> 01:15:05,600
Speaker 1: You were in the car section as well, right, do.

1691
01:15:05,600 --> 01:15:08,320
Speaker 5: You see anything just very briefly unfortunately, Yeah, I had

1692
01:15:08,360 --> 01:15:12,600
Speaker 5: to go to uh I've listened to the then administrator

1693
01:15:12,920 --> 01:15:16,479
Speaker 5: uh talk, which is how was that? I mean, honestly,

1694
01:15:16,520 --> 01:15:19,480
Speaker 5: like for this administration, it was like sort of surprising.

1695
01:15:19,200 --> 01:15:21,280
Speaker 1: That's the National Highway.

1696
01:15:21,000 --> 01:15:22,280
Speaker 5: Traffic Safety Administration.

1697
01:15:23,000 --> 01:15:27,080
Speaker 1: Yeah, I remembered all those words. Yeah, but anything good

1698
01:15:27,160 --> 01:15:28,839
Speaker 1: or just well.

1699
01:15:28,680 --> 01:15:32,760
Speaker 5: From that conversation, it was like a much higher level

1700
01:15:32,800 --> 01:15:34,760
Speaker 5: of sophistication than I expected from someone who works for

1701
01:15:34,760 --> 01:15:37,280
Speaker 5: Sean Duffy. Okay, yeah, this was like a pleasant, pleasant

1702
01:15:37,320 --> 01:15:41,920
Speaker 5: surprise and and like clearly like, uh, you know, I

1703
01:15:41,920 --> 01:15:44,599
Speaker 5: think I think the administration wants to be seen as

1704
01:15:44,720 --> 01:15:47,760
Speaker 5: doing something to help autonomous vehicles. Right, The problem is

1705
01:15:47,800 --> 01:15:51,400
Speaker 5: that like regulation is not actually preventing autonomous vehicle deployment,

1706
01:15:51,520 --> 01:15:52,400
Speaker 5: Like that's not it's.

1707
01:15:52,360 --> 01:15:53,960
Speaker 1: Kind of like AI. It's like they're like, oh, we

1708
01:15:54,000 --> 01:15:57,200
Speaker 1: need less regulations around AI. It's like that is we

1709
01:15:57,240 --> 01:16:00,240
Speaker 1: don't have those. Yeah, oh we got one guy think

1710
01:16:00,360 --> 01:16:02,080
Speaker 1: that fuck off. The problem is you don't have enough power,

1711
01:16:02,080 --> 01:16:03,519
Speaker 1: and no one wants to pay for a dickhead with

1712
01:16:03,560 --> 01:16:05,400
Speaker 1: the problems, cause it seems like the problem is the

1713
01:16:05,479 --> 01:16:07,479
Speaker 1: edge cases, like you were mentioning, yeah, yeah.

1714
01:16:07,320 --> 01:16:09,840
Speaker 5: So he was talking and this is interesting. So kind

1715
01:16:09,840 --> 01:16:12,439
Speaker 5: of the big challenge with avs is that, right, like

1716
01:16:12,840 --> 01:16:16,000
Speaker 5: you can't just create a right, we have a driver's test, Right,

1717
01:16:16,000 --> 01:16:17,600
Speaker 5: you go out and you do some basic things and

1718
01:16:17,600 --> 01:16:19,160
Speaker 5: you prove that you have the sort of like general

1719
01:16:19,200 --> 01:16:22,320
Speaker 5: capability and they sign off you didn't almost kill anyone,

1720
01:16:22,360 --> 01:16:25,040
Speaker 5: and you can be a driver. Now that doesn't work

1721
01:16:25,080 --> 01:16:27,360
Speaker 5: with this technology because all you do is train for

1722
01:16:27,400 --> 01:16:29,479
Speaker 5: the test, yeah, right, and then you get vehicles to

1723
01:16:29,520 --> 01:16:30,920
Speaker 5: train for the test, and then they pass the test

1724
01:16:30,960 --> 01:16:32,519
Speaker 5: and they go out and they're like totally useless in

1725
01:16:32,520 --> 01:16:34,679
Speaker 5: the real world. So this is actually like a non

1726
01:16:35,120 --> 01:16:39,280
Speaker 5: creating regulation for a V is actually much less trivia

1727
01:16:39,320 --> 01:16:40,720
Speaker 5: of a problem than people think it's.

1728
01:16:40,800 --> 01:16:40,960
Speaker 1: Right.

1729
01:16:41,000 --> 01:16:43,200
Speaker 5: People are very quick to say, oh, we'll just regulate it. Well,

1730
01:16:43,320 --> 01:16:44,960
Speaker 5: when you get into the weeds of how to do it,

1731
01:16:44,960 --> 01:16:48,840
Speaker 5: it's actually quite complex. And again I was shocked that

1732
01:16:48,840 --> 01:16:51,639
Speaker 5: that the guy at NITZA is actually has like a

1733
01:16:51,640 --> 01:16:53,840
Speaker 5: an ar secular level. Yeah, and like a kind of

1734
01:16:53,840 --> 01:16:55,800
Speaker 5: a sophisticated sense of like, Okay, you need to have

1735
01:16:55,840 --> 01:16:58,280
Speaker 5: a test, but you can't have it be some static thing,

1736
01:16:58,600 --> 01:17:00,680
Speaker 5: and and like the fact is like you know, we

1737
01:17:00,720 --> 01:17:02,840
Speaker 5: have this sort of self certification system anyway, and that

1738
01:17:02,960 --> 01:17:07,599
Speaker 5: like if you're faking compliance with the safety standard that

1739
01:17:07,600 --> 01:17:10,559
Speaker 5: that's sort of illegal already and stuff. So it was

1740
01:17:10,640 --> 01:17:13,400
Speaker 5: like sort of encouraging. The problem is is that is

1741
01:17:13,439 --> 01:17:16,760
Speaker 5: that this is also being used as like a paragraph

1742
01:17:16,920 --> 01:17:19,600
Speaker 5: at the federal level because states, right, so like historically

1743
01:17:20,000 --> 01:17:22,679
Speaker 5: cars are regulated by the federal government, drivers are regulated

1744
01:17:22,720 --> 01:17:26,560
Speaker 5: by the state the state DMV. Well, so that's a

1745
01:17:26,600 --> 01:17:30,640
Speaker 5: huge problem, right, Like the av companies absolutely do not

1746
01:17:30,720 --> 01:17:35,000
Speaker 5: want the patchwork of regulation, and so they're trying to

1747
01:17:35,080 --> 01:17:37,800
Speaker 5: get a test at the federal level so that they

1748
01:17:37,800 --> 01:17:41,439
Speaker 5: can kind of preempt the state's right to regulate interesting systems.

1749
01:17:41,920 --> 01:17:44,840
Speaker 1: I guess it's regulating technology, but kind of regulating a

1750
01:17:44,920 --> 01:17:45,679
Speaker 1: driver as well.

1751
01:17:45,720 --> 01:17:48,320
Speaker 5: These two separate things have become one, and in a

1752
01:17:48,360 --> 01:17:51,000
Speaker 5: real sense it is much more of regulating a driver.

1753
01:17:51,400 --> 01:17:54,639
Speaker 1: Calculates something when you have the because from my understanding

1754
01:17:54,640 --> 01:17:58,080
Speaker 1: with these autonomous cars, you actually have an overlord watching

1755
01:17:58,160 --> 01:18:00,439
Speaker 1: is what you have a customer service rep. How does

1756
01:18:00,520 --> 01:18:01,160
Speaker 1: that play into them?

1757
01:18:01,640 --> 01:18:04,360
Speaker 5: So, yeah, this is one of the most misunderstood and

1758
01:18:04,680 --> 01:18:07,880
Speaker 5: you know, different companies do things differently. Different companies have

1759
01:18:07,880 --> 01:18:10,840
Speaker 5: different levels of transparency around this, so you know, no

1760
01:18:10,920 --> 01:18:14,280
Speaker 5: one description is going to be true true of everything.

1761
01:18:14,360 --> 01:18:16,719
Speaker 5: But like for example, with way Mo, what they say

1762
01:18:17,600 --> 01:18:19,280
Speaker 5: and I think that have like pretty good credibility on it,

1763
01:18:19,320 --> 01:18:21,639
Speaker 5: is that right, Like for a vehicle to be autonomous,

1764
01:18:21,640 --> 01:18:23,960
Speaker 5: and this is sort of the established like you know,

1765
01:18:24,040 --> 01:18:26,040
Speaker 5: engineering view of and for a vehicle to be autonomous,

1766
01:18:26,080 --> 01:18:29,720
Speaker 5: when it encounters something that it cannot deal with, it

1767
01:18:29,760 --> 01:18:33,080
Speaker 5: has to perform what's called fallback autonomously. It has to

1768
01:18:33,360 --> 01:18:36,280
Speaker 5: return to what's called a minimal risk condition. And this

1769
01:18:36,400 --> 01:18:39,160
Speaker 5: is like not a defying thing. It just means the

1770
01:18:39,240 --> 01:18:43,360
Speaker 5: safest place to sort of pull over and if you're

1771
01:18:43,400 --> 01:18:46,280
Speaker 5: not doing that autonomously. It's not autonomous. And so like

1772
01:18:46,360 --> 01:18:49,599
Speaker 5: Tesla's are not autonomous because when they fail, the human

1773
01:18:49,720 --> 01:18:52,400
Speaker 5: has to step in and intervene. A lot of people

1774
01:18:52,400 --> 01:18:55,840
Speaker 5: believe that, because there there is this link that every

1775
01:18:55,960 --> 01:18:59,960
Speaker 5: av has to either a remote operator or the ability

1776
01:19:00,080 --> 01:19:02,479
Speaker 5: to send new guidance to the vehicle, that that is

1777
01:19:02,520 --> 01:19:05,960
Speaker 5: somehow remotely intervening to prevent a crash.

1778
01:19:06,240 --> 01:19:09,240
Speaker 1: That's that's physically not it's not possible. That's what's not

1779
01:19:09,280 --> 01:19:11,320
Speaker 1: possible because I didn't imagine they had the joystickers.

1780
01:19:11,479 --> 01:19:13,639
Speaker 5: Yeah, I mean, I'm sure that folks have tried it,

1781
01:19:14,320 --> 01:19:18,040
Speaker 5: and it's it just doesn't work. So so what happens

1782
01:19:18,080 --> 01:19:20,040
Speaker 5: is that right system, when counter something you can't deal with,

1783
01:19:20,280 --> 01:19:24,080
Speaker 5: it performs a fallback autonomously. The new guidance is just

1784
01:19:24,120 --> 01:19:25,200
Speaker 5: to sort of get it through.

1785
01:19:25,560 --> 01:19:27,080
Speaker 1: You have to get it out of that little.

1786
01:19:27,160 --> 01:19:28,479
Speaker 5: And then and then it takes back over it.

1787
01:19:28,600 --> 01:19:32,320
Speaker 1: Okay, so changing gears, Henry, What if if you see

1788
01:19:32,360 --> 01:19:35,479
Speaker 1: anything interesting laptop wise, and you mentioned a concrete keyboard,

1789
01:19:35,520 --> 01:19:36,800
Speaker 1: which sounds good for hitting people.

1790
01:19:36,960 --> 01:19:39,840
Speaker 7: Yeah, key kron actually is doing really fun stuff with

1791
01:19:39,880 --> 01:19:43,160
Speaker 7: the materials that they're keyboards, wireless keyboards are made out

1792
01:19:43,160 --> 01:19:46,800
Speaker 7: of There was one that was porcelain like in one

1793
01:19:46,840 --> 01:19:49,559
Speaker 7: of those concrete. I was thinking, even the most angry

1794
01:19:49,560 --> 01:19:51,840
Speaker 7: redditors won't be able to move this by typing, Like

1795
01:19:51,880 --> 01:19:53,680
Speaker 7: you might use it for self defense if you're that

1796
01:19:53,760 --> 01:19:56,439
Speaker 7: kind of person, but like I was, but you were.

1797
01:19:56,800 --> 01:19:58,599
Speaker 7: What I was just talking about that made me really

1798
01:19:58,640 --> 01:20:02,400
Speaker 7: think was building some for the test. And while okay,

1799
01:20:02,640 --> 01:20:05,720
Speaker 7: laptop said, yes, there is a big story sort of

1800
01:20:05,760 --> 01:20:09,800
Speaker 7: happening with Dell and pricing, but did people see the

1801
01:20:09,920 --> 01:20:12,800
Speaker 7: LG laundry folding robot thing?

1802
01:20:13,280 --> 01:20:15,280
Speaker 1: No, it I saw the robot. I didn't see it

1803
01:20:15,320 --> 01:20:16,000
Speaker 1: fold anything.

1804
01:20:16,240 --> 01:20:18,760
Speaker 7: I didn't see it folding anything. I thought moving one

1805
01:20:18,800 --> 01:20:21,160
Speaker 7: thing to another. And I was like, is this being

1806
01:20:21,160 --> 01:20:24,480
Speaker 7: designed to beat the to do the test of the conventions?

1807
01:20:24,720 --> 01:20:24,920
Speaker 1: Yeah?

1808
01:20:25,000 --> 01:20:26,800
Speaker 7: And then do every sound like SU's why. I'm just like,

1809
01:20:27,120 --> 01:20:31,360
Speaker 7: it's also doing at the slowest the It's the the

1810
01:20:31,360 --> 01:20:34,720
Speaker 7: sloth in the Zutopia Like, I'm like, so that's the thing.

1811
01:20:34,720 --> 01:20:37,479
Speaker 7: But so in laptops. One of the most interesting things

1812
01:20:37,560 --> 01:20:41,040
Speaker 7: is a year ago Dell said the XPS brand was dead.

1813
01:20:41,400 --> 01:20:44,759
Speaker 7: It was replacing Dell XPS fourteen with Dell Premium fourteen

1814
01:20:45,040 --> 01:20:48,400
Speaker 7: and Tech journalsts everywhere were like, what are you doing?

1815
01:20:48,960 --> 01:20:51,000
Speaker 5: I love my XPS, people love it.

1816
01:20:51,040 --> 01:20:54,840
Speaker 7: And then this year they literally an exact came out

1817
01:20:54,840 --> 01:20:58,479
Speaker 7: and said, I owe you an apology. You guys were right,

1818
01:20:59,800 --> 01:21:02,160
Speaker 7: and then they released the dogs ps' is back. And

1819
01:21:02,720 --> 01:21:05,000
Speaker 7: here's the weird thing. Though they got rid of all

1820
01:21:05,040 --> 01:21:07,040
Speaker 7: the things we hated about it. The function keys are

1821
01:21:07,080 --> 01:21:10,559
Speaker 7: actually physical keys. Again that had a weird capacitive touch thing. God,

1822
01:21:10,840 --> 01:21:12,559
Speaker 7: but it was light up. It wasn't no let like

1823
01:21:12,560 --> 01:21:16,519
Speaker 7: the touch bar on the Max. But the problem is

1824
01:21:16,600 --> 01:21:19,679
Speaker 7: that I believe, let me just check me. I believe

1825
01:21:19,680 --> 01:21:22,200
Speaker 7: it's they had a last second price change on it,

1826
01:21:22,600 --> 01:21:26,720
Speaker 7: and I believe it's gonna be two thy fifty for

1827
01:21:26,800 --> 01:21:31,200
Speaker 7: the starting price at first for the fourteen inch XPS. No,

1828
01:21:31,439 --> 01:21:34,920
Speaker 7: and it's gonna in February. There will be lower price,

1829
01:21:35,040 --> 01:21:38,160
Speaker 7: much lower price under two thousand dollars versions. And they

1830
01:21:38,200 --> 01:21:40,599
Speaker 7: didn't say why this is. We can all assume one

1831
01:21:40,600 --> 01:21:43,320
Speaker 7: of two things. What is it tariffs or memory shortage?

1832
01:21:43,600 --> 01:21:46,760
Speaker 1: Yeah, the RAM thing is fucking everything up. I don't

1833
01:21:46,800 --> 01:21:48,519
Speaker 1: know if you've talked to anyone else at the show,

1834
01:21:48,600 --> 01:21:51,200
Speaker 1: but I've been hearing from quite a few people that

1835
01:21:51,240 --> 01:21:53,800
Speaker 1: this is just fucking up everything now because of AI.

1836
01:21:54,160 --> 01:21:56,400
Speaker 1: That is just smart for the Samsung mentioned they're going

1837
01:21:56,400 --> 01:21:59,000
Speaker 1: to raise the price of phones because of because of

1838
01:21:59,000 --> 01:22:01,280
Speaker 1: fucking AI and RAM kill me.

1839
01:22:01,439 --> 01:22:04,679
Speaker 7: People are saying that the iPhone eighteen not coming until

1840
01:22:04,760 --> 01:22:07,679
Speaker 7: next year supposedly is due to that because Apple wants

1841
01:22:07,720 --> 01:22:10,160
Speaker 7: to wait for the lowest costing phone. They want to

1842
01:22:10,200 --> 01:22:13,960
Speaker 7: wait to wait out this freaking memory shortage problem, because

1843
01:22:13,960 --> 01:22:15,680
Speaker 7: that's the rumor at least right they're moving to a

1844
01:22:15,720 --> 01:22:19,240
Speaker 7: spring year cadence for the main phone. But like it's

1845
01:22:19,560 --> 01:22:23,960
Speaker 7: laptops from here on out, we're a little bit concerned

1846
01:22:23,960 --> 01:22:27,080
Speaker 7: about what if there's gonna be a good amount of RAM,

1847
01:22:27,160 --> 01:22:29,559
Speaker 7: or it's gonna be overpriced. Like it's yeah, I'm glad

1848
01:22:29,600 --> 01:22:31,960
Speaker 7: I have my m one fourteen inch MacBook Pro and

1849
01:22:32,000 --> 01:22:33,800
Speaker 7: that's gonna last me forever, perfully, But.

1850
01:22:34,080 --> 01:22:36,320
Speaker 1: It kind of feels like it's gonna price people out

1851
01:22:36,360 --> 01:22:40,080
Speaker 1: of electronics soon because Tariff's already raised things and now

1852
01:22:40,160 --> 01:22:43,599
Speaker 1: RAM is gonna raise things. Also that we can generate

1853
01:22:43,760 --> 01:22:48,000
Speaker 1: sexy of wifus, I guess like it's very strange and

1854
01:22:48,040 --> 01:22:49,600
Speaker 1: I don't think I've never seen anything like it in

1855
01:22:49,600 --> 01:22:52,759
Speaker 1: the history of tech, Like we've seen shortages around COVID

1856
01:22:53,080 --> 01:22:56,080
Speaker 1: and then post COVID, but I don't remember. Just like

1857
01:22:56,200 --> 01:22:58,200
Speaker 1: the I remember the price of everything going out. The

1858
01:22:58,439 --> 01:23:00,400
Speaker 1: thing's becoming hard. It's to get in general, but not

1859
01:23:00,520 --> 01:23:02,559
Speaker 1: like one thing within the computing world.

1860
01:23:02,960 --> 01:23:05,959
Speaker 5: And to be fucking up a business that makes money

1861
01:23:06,040 --> 01:23:07,920
Speaker 5: in order to build a business that doesn't.

1862
01:23:08,080 --> 01:23:10,600
Speaker 1: Well, this is making tons of money, sure, yeah, but

1863
01:23:10,680 --> 01:23:13,400
Speaker 1: every other business. That's That's when I'm saying, like devices

1864
01:23:13,439 --> 01:23:15,280
Speaker 1: broadly are going to take a hit because of the

1865
01:23:15,400 --> 01:23:16,720
Speaker 1: PC sales already down.

1866
01:23:16,760 --> 01:23:20,439
Speaker 7: I think I did not keep track of that, thankfully.

1867
01:23:20,600 --> 01:23:24,360
Speaker 1: Yeah, it's just it's I just ah, I keep coming

1868
01:23:24,400 --> 01:23:26,639
Speaker 1: to the show expecting the future, but it just kind

1869
01:23:26,640 --> 01:23:30,280
Speaker 1: of feels dystopian, but not in like the cyberpunk way,

1870
01:23:30,320 --> 01:23:35,240
Speaker 1: but just in a everything's more expensive and slowing down way. Yeah.

1871
01:23:35,280 --> 01:23:38,240
Speaker 7: Well, okay, this is the funniest part of all things.

1872
01:23:38,280 --> 01:23:41,479
Speaker 7: I never expected to get faster. Amazon's revealed that the

1873
01:23:41,520 --> 01:23:44,360
Speaker 7: fire TV interface is getting an update and it's getting faster.

1874
01:23:44,439 --> 01:23:46,360
Speaker 1: They're making you find a TV's Amazon store.

1875
01:23:46,439 --> 01:23:48,960
Speaker 7: They're just updating the OLS basically, and they've updated a

1876
01:23:49,000 --> 01:23:50,840
Speaker 7: couple of things. But they showed I was watching it

1877
01:23:50,880 --> 01:23:54,519
Speaker 7: today and it was loading smoothly and it looked a

1878
01:23:54,520 --> 01:23:55,120
Speaker 7: little cleaner.

1879
01:23:55,200 --> 01:23:57,639
Speaker 1: Yeah, if you use these TVs, they off fuck it.

1880
01:23:57,640 --> 01:24:00,439
Speaker 1: It's like you you hit the button, it takes like

1881
01:24:00,520 --> 01:24:02,120
Speaker 1: three seconds for the post to move.

1882
01:24:02,240 --> 01:24:07,160
Speaker 4: For five years. That broke only because I was I

1883
01:24:07,160 --> 01:24:08,840
Speaker 4: had a bunch of people in my room and one

1884
01:24:08,840 --> 01:24:11,679
Speaker 4: of them rammed up into it because it was getting routed.

1885
01:24:11,720 --> 01:24:13,960
Speaker 4: Then it smashed into the floor. Indestructible.

1886
01:24:14,000 --> 01:24:16,160
Speaker 1: Otherwise, yeah, you you what you mean is you were

1887
01:24:16,160 --> 01:24:20,200
Speaker 1: wearing your freezer costume, ballowy and the tail and I may.

1888
01:24:20,080 --> 01:24:29,240
Speaker 4: Have been a little lit and then yeah, yeah, and.

1889
01:24:26,200 --> 01:24:29,000
Speaker 7: It gets worse if you just bought the Prime day

1890
01:24:29,200 --> 01:24:33,160
Speaker 7: cheapest fire TV stick and who knows how low powered

1891
01:24:33,200 --> 01:24:35,479
Speaker 7: that is trying to run whatever. But they said every

1892
01:24:35,800 --> 01:24:37,320
Speaker 7: one they they showed it off on a demo on

1893
01:24:37,360 --> 01:24:39,840
Speaker 7: a regular TV that was running their fire os, and

1894
01:24:39,840 --> 01:24:43,839
Speaker 7: I was just like watching going. I've been recommending Roku

1895
01:24:43,960 --> 01:24:46,280
Speaker 7: to my parents and for a lot of people for

1896
01:24:46,280 --> 01:24:48,400
Speaker 7: a while. It's simple and it's easy for people just

1897
01:24:48,439 --> 01:24:51,680
Speaker 7: want a grid of tiles like nobody can afford. Not

1898
01:24:51,720 --> 01:24:54,439
Speaker 7: everybody can afford Apple TV. I wish they could, and

1899
01:24:54,520 --> 01:24:56,160
Speaker 7: I think a lot of people think Google TV is

1900
01:24:56,479 --> 01:24:57,400
Speaker 7: content overload?

1901
01:24:57,640 --> 01:24:57,880
Speaker 6: It is?

1902
01:24:57,880 --> 01:25:01,840
Speaker 7: And it's like you're just getting U Black Mirror episode two?

1903
01:25:01,960 --> 01:25:02,360
Speaker 7: I think?

1904
01:25:03,520 --> 01:25:06,200
Speaker 1: Is that is? Is there a black mirror of time?

1905
01:25:06,200 --> 01:25:06,800
Speaker 4: But that? Or no?

1906
01:25:06,880 --> 01:25:10,320
Speaker 7: Just see all the ads? No, I remember it's the

1907
01:25:10,360 --> 01:25:13,520
Speaker 7: million credits episode and not Uh, I wouldn't.

1908
01:25:13,160 --> 01:25:16,960
Speaker 1: Seen any of it. Sorry, Charlie, Charlie does readmore. I'm sorry, Charlie,

1909
01:25:17,520 --> 01:25:18,000
Speaker 1: but yeah.

1910
01:25:17,880 --> 01:25:21,960
Speaker 7: No, Amazon actually is answering the critic I've been writing

1911
01:25:21,960 --> 01:25:23,400
Speaker 7: in for a year. It's like, why is this so

1912
01:25:23,880 --> 01:25:26,360
Speaker 7: slow and stuttery? And so I can't wait to update

1913
01:25:26,920 --> 01:25:29,280
Speaker 7: the Nike shoe box of streaming six I have at

1914
01:25:29,280 --> 01:25:31,479
Speaker 7: home because I've been reviewing this stuff for how many

1915
01:25:31,520 --> 01:25:33,760
Speaker 7: years now? I've collected everything just to make sure I

1916
01:25:33,760 --> 01:25:35,320
Speaker 7: can cross reference in back reference.

1917
01:25:35,360 --> 01:25:37,640
Speaker 1: Do you see anything you really like though, Anything exciting?

1918
01:25:37,760 --> 01:25:38,559
Speaker 1: Anything good?

1919
01:25:38,840 --> 01:25:40,679
Speaker 7: Okay, I don't have the space for it in my home.

1920
01:25:40,680 --> 01:25:44,160
Speaker 7: But if you're a projector nerd watching stuffy, Samsung's Freestyle

1921
01:25:44,240 --> 01:25:46,680
Speaker 7: Plus that keeps auto adjusting to whatever space you put

1922
01:25:46,680 --> 01:25:51,320
Speaker 7: it on. It projected against curtains and c It was

1923
01:25:51,360 --> 01:25:53,080
Speaker 7: clear first of all, but it took a second you

1924
01:25:53,120 --> 01:25:56,439
Speaker 7: saw it like ripple, and then it auto corrected around

1925
01:25:56,479 --> 01:25:57,920
Speaker 7: to a rectangle on top of the curtain.

1926
01:25:57,960 --> 01:25:59,680
Speaker 1: That's actually cool.

1927
01:25:59,760 --> 01:26:02,719
Speaker 7: But it gets better because they had two different size

1928
01:26:02,760 --> 01:26:05,479
Speaker 7: projector screens that it was on, and if you moved

1929
01:26:05,479 --> 01:26:08,639
Speaker 7: it from one to the other, it recognized the black

1930
01:26:09,280 --> 01:26:13,240
Speaker 7: outline of the projection screen and it really automatically like

1931
01:26:13,280 --> 01:26:14,360
Speaker 7: it automatically resized.

1932
01:26:14,479 --> 01:26:15,040
Speaker 1: I like that.

1933
01:26:15,560 --> 01:26:17,439
Speaker 7: And then they did it on a three corner corner

1934
01:26:17,520 --> 01:26:20,439
Speaker 7: of a wall and it resized like I would go

1935
01:26:20,479 --> 01:26:23,040
Speaker 7: to Samsung's villa of its forever first look every year.

1936
01:26:24,280 --> 01:26:26,600
Speaker 7: It's like they have a minor city almost if you

1937
01:26:26,600 --> 01:26:29,080
Speaker 7: think Caesar's is a state, this Vegas, this is a

1938
01:26:29,120 --> 01:26:31,720
Speaker 7: minor city, and like the Freestyle plus projector is the

1939
01:26:31,760 --> 01:26:32,160
Speaker 7: thing that was.

1940
01:26:32,160 --> 01:26:33,720
Speaker 1: Like, whoa again, how much?

1941
01:26:33,760 --> 01:26:37,040
Speaker 7: Though I don't even if they have announced pricing because

1942
01:26:37,040 --> 01:26:38,519
Speaker 7: a lot of the stuff the don announce pricing. But

1943
01:26:38,920 --> 01:26:41,200
Speaker 7: the other weird thing from Samsung and I'm still trying

1944
01:26:41,200 --> 01:26:43,559
Speaker 7: to get to the bottom of it. In the corner

1945
01:26:43,680 --> 01:26:46,840
Speaker 7: of their experience, there was this s ninety five h

1946
01:26:46,960 --> 01:26:50,960
Speaker 7: o led TV that their claiming is can be an

1947
01:26:51,040 --> 01:26:53,240
Speaker 7: art TV and a regular but they had one static

1948
01:26:53,280 --> 01:26:55,840
Speaker 7: image on it for the entire multiple hours I was there,

1949
01:26:56,080 --> 01:26:59,839
Speaker 7: and I was like asking everybody, did you guys beat Burnin?

1950
01:27:00,240 --> 01:27:02,880
Speaker 7: What is going on here? How is this happening? I

1951
01:27:03,240 --> 01:27:04,960
Speaker 7: haven't gotten an answer yet. I don't know if it

1952
01:27:05,000 --> 01:27:06,920
Speaker 7: was just for the show of it all, like showing

1953
01:27:06,960 --> 01:27:09,320
Speaker 7: it can do it, but if they've somehow done it

1954
01:27:09,360 --> 01:27:11,960
Speaker 7: and they were quietly not explaining it. I have more

1955
01:27:12,040 --> 01:27:14,160
Speaker 7: questions for their PR team and that the process than

1956
01:27:14,160 --> 01:27:15,200
Speaker 7: I do their technical team.

1957
01:27:15,479 --> 01:27:17,519
Speaker 1: Good luck on those though, because they don't look from

1958
01:27:17,560 --> 01:27:20,160
Speaker 1: what I hear that piant and they're not particularly helpful

1959
01:27:20,200 --> 01:27:21,439
Speaker 1: with answers the question.

1960
01:27:21,520 --> 01:27:24,160
Speaker 7: They're responsive to email there. They're nice group of people.

1961
01:27:24,160 --> 01:27:26,680
Speaker 1: Okay, maybe they've changed over the years, but.

1962
01:27:26,680 --> 01:27:29,400
Speaker 7: No, everybody's had trouble with different PR, a different outlet.

1963
01:27:29,520 --> 01:27:32,120
Speaker 7: It's not that's it all depends on who's your history

1964
01:27:32,120 --> 01:27:32,400
Speaker 7: of who.

1965
01:27:32,800 --> 01:27:35,040
Speaker 1: But that's the thing though, with these AUNT TVs, they're

1966
01:27:35,040 --> 01:27:37,360
Speaker 1: always a lovely idea, but it's like, I don't fucking

1967
01:27:37,400 --> 01:27:39,240
Speaker 1: know if I want some AUNT on my wall, I

1968
01:27:39,400 --> 01:27:41,840
Speaker 1: just put up ah And even I saw one of

1969
01:27:41,840 --> 01:27:44,360
Speaker 1: these e INC things as well, and to show there

1970
01:27:44,400 --> 01:27:46,840
Speaker 1: was like an entire hole of e INC things that

1971
01:27:47,040 --> 01:27:53,599
Speaker 1: just broke. It's just it's very artistic. Actually, it's like, yeah,

1972
01:27:53,640 --> 01:27:56,800
Speaker 1: that's yeah, it's just it's like a nice idea that

1973
01:27:56,920 --> 01:28:01,280
Speaker 1: you're like, okay, but again at the club last night, Yeah,

1974
01:28:01,280 --> 01:28:04,360
Speaker 1: that was just too late for you. No, it's really

1975
01:28:04,680 --> 01:28:06,880
Speaker 1: it's frustrating as well, because some of these ideas are like,

1976
01:28:06,880 --> 01:28:09,200
Speaker 1: all right, that's a nice one. How much, Oh, just

1977
01:28:09,240 --> 01:28:11,000
Speaker 1: out of the range of most people. Oh, an e

1978
01:28:11,080 --> 01:28:13,880
Speaker 1: ink screen? Okay, I guess, but how much? Hundreds of dollars?

1979
01:28:13,960 --> 01:28:16,920
Speaker 1: Fucking I just they should have a cheap section. They

1980
01:28:16,960 --> 01:28:19,120
Speaker 1: should literally have a cheap section of this show, like

1981
01:28:19,160 --> 01:28:20,879
Speaker 1: a below three hundred bucks.

1982
01:28:20,960 --> 01:28:23,479
Speaker 5: I looked up the projector that I think they typically

1983
01:28:23,479 --> 01:28:26,160
Speaker 5: have cost around nine hundred bucks that they haven't announced.

1984
01:28:26,200 --> 01:28:29,960
Speaker 1: It's not particular worst I've heard for a projector. Yeah,

1985
01:28:29,960 --> 01:28:33,000
Speaker 1: I mean like the Nebula X one pro, the toll

1986
01:28:33,040 --> 01:28:36,040
Speaker 1: things like five grand and the X one little boxes

1987
01:28:36,080 --> 01:28:37,439
Speaker 1: like and yeah, it's.

1988
01:28:37,320 --> 01:28:41,559
Speaker 7: Like a small tube like like it is a cute

1989
01:28:41,560 --> 01:28:44,400
Speaker 7: looking I want to call it pixar esque, but like, yeah,

1990
01:28:44,439 --> 01:28:47,600
Speaker 7: he is a nicely designed I was like, this is

1991
01:28:47,680 --> 01:28:49,800
Speaker 7: fun to use. I just haven't I have a TV

1992
01:28:49,960 --> 01:28:52,120
Speaker 7: and I don't care that it's a black rectangle something else.

1993
01:28:52,400 --> 01:28:54,120
Speaker 7: I'm not the audience for the art TV. I'm not

1994
01:28:54,120 --> 01:28:57,720
Speaker 7: really a projector audience. But while we were watching this

1995
01:28:57,960 --> 01:29:00,719
Speaker 7: freestyle plus and doing, I was like, Okay, this is cool.

1996
01:29:00,880 --> 01:29:03,520
Speaker 7: This is the article headline, this is like the actual.

1997
01:29:03,280 --> 01:29:05,360
Speaker 1: But also that's something you could use in an apartment

1998
01:29:05,800 --> 01:29:09,240
Speaker 1: potentially because it adapts to any surface. Finally, something that

1999
01:29:09,360 --> 01:29:10,719
Speaker 1: sounds useful.

2000
01:29:11,280 --> 01:29:13,120
Speaker 5: Yeah, well I think Also it's like a I think

2001
01:29:13,120 --> 01:29:14,559
Speaker 5: a little bit of a premium thing too. I feel

2002
01:29:14,640 --> 01:29:17,320
Speaker 5: like screens TVs have gotten so cheap and so big

2003
01:29:17,800 --> 01:29:20,400
Speaker 5: that it's like having your TV like having it be

2004
01:29:20,479 --> 01:29:22,840
Speaker 5: either like disguised as art or like hidden as a

2005
01:29:22,880 --> 01:29:25,400
Speaker 5: projector like it's sort of like a I'm too good

2006
01:29:25,439 --> 01:29:27,000
Speaker 5: to even have a t TVs er for like.

2007
01:29:28,760 --> 01:29:31,360
Speaker 1: Yeah, yeah, I did see like the most limped stories

2008
01:29:31,400 --> 01:29:34,240
Speaker 1: like Amazon's used TVs have rounded corners. I'm just like

2009
01:29:34,240 --> 01:29:36,600
Speaker 1: at this at this point, they just just don't. You

2010
01:29:36,640 --> 01:29:38,840
Speaker 1: don't need to post about it, mate, who cares? It's

2011
01:29:38,840 --> 01:29:42,080
Speaker 1: got round Corners's nice? Yeah, it's just like and also

2012
01:29:42,120 --> 01:29:45,160
Speaker 1: I went and look, they look pointy. They looked, they

2013
01:29:45,160 --> 01:29:48,360
Speaker 1: looked actually pointing. Not a circular TV around, Give me

2014
01:29:48,400 --> 01:29:50,519
Speaker 1: a circular to Yeah, I want to round. I want

2015
01:29:50,760 --> 01:29:53,920
Speaker 1: I want a re a rhomboid television.

2016
01:29:54,240 --> 01:29:56,440
Speaker 5: Everything has to be filmed at the Fish Islands.

2017
01:29:56,560 --> 01:29:59,360
Speaker 1: Yeah. I just though, if you want to do something weird, great,

2018
01:29:59,479 --> 01:30:01,679
Speaker 1: send it my way. Don't pretend like it's for everyone.

2019
01:30:01,680 --> 01:30:04,000
Speaker 1: If you just want to This is for perverts. The

2020
01:30:04,040 --> 01:30:08,559
Speaker 1: pervert section's Pervert TV, pervert TV. I think we have that.

2021
01:30:08,920 --> 01:30:11,680
Speaker 1: I think we have perverts.

2022
01:30:13,080 --> 01:30:13,640
Speaker 5: Television.

2023
01:30:13,680 --> 01:30:17,360
Speaker 1: Perfect you from YouTube.

2024
01:30:17,479 --> 01:30:19,599
Speaker 4: My name is ryand Upalm. I've been watching pervert TV

2025
01:30:19,640 --> 01:30:22,760
Speaker 4: even the past forty years. I'm proud to induce it

2026
01:30:22,880 --> 01:30:24,800
Speaker 4: to CES. Yeah.

2027
01:30:24,960 --> 01:30:26,960
Speaker 1: I was gonna make a liquid television joke, but that

2028
01:30:27,000 --> 01:30:29,160
Speaker 1: could get gross real quick. Well, we're going to wrap

2029
01:30:29,240 --> 01:30:32,120
Speaker 1: up this thirty minutes and semens Yeah, there we go,

2030
01:30:32,200 --> 01:30:36,200
Speaker 1: semens Ai Television, pervert television, it's physical coming up next,

2031
01:30:36,200 --> 01:30:40,360
Speaker 1: and ad from Pervert Television, new streaming service by perverts

2032
01:30:40,400 --> 01:30:43,080
Speaker 1: for perverts. And if you're the advertiser that comes next,

2033
01:30:43,120 --> 01:30:45,640
Speaker 1: I am very sorry. I'm very sorry. And if this

2034
01:30:45,720 --> 01:30:47,799
Speaker 1: is one of the ones where it's my voice recorded,

2035
01:30:47,840 --> 01:30:51,400
Speaker 1: that's even better. I'm not I'm not running pervert TV,

2036
01:30:51,520 --> 01:31:06,080
Speaker 1: I swear. And we're back, and we're back with an

2037
01:31:06,080 --> 01:31:08,439
Speaker 1: incredible group of people. Ledward on Gueizo, Junior of the

2038
01:31:08,479 --> 01:31:12,400
Speaker 1: tech Bubble newsletter Edniedamyer of the Autonocast and Henry Casey

2039
01:31:12,439 --> 01:31:15,160
Speaker 1: of CNN Underscored, And we've just been looking at fake

2040
01:31:15,280 --> 01:31:17,880
Speaker 1: stuff for a few minutes because I wanted to talk

2041
01:31:17,920 --> 01:31:21,000
Speaker 1: briefly about this thing called the pickle. Now, the pickle,

2042
01:31:21,120 --> 01:31:25,200
Speaker 1: the Pickle is yet more fucking smart glass bullshit. But

2043
01:31:25,240 --> 01:31:27,519
Speaker 1: what it is is it? They call it a soul computer,

2044
01:31:27,640 --> 01:31:30,000
Speaker 1: and I think just I think we can start at

2045
01:31:30,000 --> 01:31:33,000
Speaker 1: this point. If you call anything a soul computer, straight

2046
01:31:33,040 --> 01:31:35,800
Speaker 1: to jail, straight to jel, just to fucking write down

2047
01:31:35,880 --> 01:31:38,360
Speaker 1: you go. But what's great is this thing? Is this?

2048
01:31:39,120 --> 01:31:43,519
Speaker 1: It is these glasses that project images across the across

2049
01:31:43,560 --> 01:31:47,280
Speaker 1: the glasses, the transparent o leads, and then it has

2050
01:31:47,320 --> 01:31:50,040
Speaker 1: some mystical AI in it that remembers everything. I'm just

2051
01:31:50,080 --> 01:31:52,000
Speaker 1: gonna read this. For a better life in every dimension,

2052
01:31:52,040 --> 01:31:54,559
Speaker 1: we need an intelligence that sees with you, remembers your life,

2053
01:31:54,560 --> 01:31:58,160
Speaker 1: and learns to understand you. And you saw you soul.

2054
01:31:58,640 --> 01:32:01,400
Speaker 1: It talks to you. It can teete like guitar stuff,

2055
01:32:01,800 --> 01:32:03,880
Speaker 1: and it claims it has like memories of stuff you've

2056
01:32:03,880 --> 01:32:07,879
Speaker 1: seen before. Now this has caused some sort of scandal online.

2057
01:32:07,880 --> 01:32:10,639
Speaker 1: First of all, because it's blatantly fucking fake. And there's

2058
01:32:10,920 --> 01:32:13,479
Speaker 1: Matt Doward I think has gone completely nuts about it.

2059
01:32:13,479 --> 01:32:15,920
Speaker 1: It's just like this fucking fake And now the CEO

2060
01:32:16,000 --> 01:32:17,720
Speaker 1: of Pickle is now arguing with him. I love that.

2061
01:32:17,760 --> 01:32:19,840
Speaker 1: I just got to say, the CEO of Pickle, why

2062
01:32:19,880 --> 01:32:22,240
Speaker 1: is the company called Pickle? I don't fuck it to

2063
01:32:22,280 --> 01:32:25,240
Speaker 1: be extra special annoying? And Alex Heath was like, it's

2064
01:32:25,280 --> 01:32:27,400
Speaker 1: completely fake, it's stupid, it's wrong. But wouldn't it be

2065
01:32:27,439 --> 01:32:28,280
Speaker 1: cool if it was real?

2066
01:32:28,960 --> 01:32:30,200
Speaker 5: What if your soul was a pickle?

2067
01:32:30,520 --> 01:32:32,320
Speaker 1: What if? What if you Well, first of all, if

2068
01:32:32,360 --> 01:32:34,320
Speaker 1: you make a company called Pickle with a fake device,

2069
01:32:34,360 --> 01:32:35,559
Speaker 1: you probably don't have a soul.

2070
01:32:35,960 --> 01:32:38,840
Speaker 4: I have such a negative association with pickles because I

2071
01:32:38,880 --> 01:32:41,840
Speaker 4: had a roommate who would buy so many pickles and

2072
01:32:42,000 --> 01:32:43,920
Speaker 4: I touched them that they would fill up the fridge

2073
01:32:43,920 --> 01:32:46,280
Speaker 4: and it broke all the shelves.

2074
01:32:46,680 --> 01:32:49,679
Speaker 1: Just the compound weight of pickles.

2075
01:32:49,800 --> 01:32:51,639
Speaker 4: Yes, they opened the door and it's like an apple

2076
01:32:52,000 --> 01:32:55,240
Speaker 4: literally literally, and the and then glass also and pickle juice.

2077
01:32:55,240 --> 01:32:57,479
Speaker 1: What was the justification for purchasing so many of them?

2078
01:32:57,560 --> 01:33:00,320
Speaker 4: I like pickles, but would get so fucking how they again,

2079
01:33:00,720 --> 01:33:03,679
Speaker 4: all the pickles and how do you forget? You smoke

2080
01:33:03,720 --> 01:33:05,679
Speaker 4: a lot of weed, and then you go onto our basement,

2081
01:33:05,920 --> 01:33:08,800
Speaker 4: very spacious basement, right, and you smoke more weed and

2082
01:33:08,920 --> 01:33:12,960
Speaker 4: you just you get to the pickle dispensary, your fridge

2083
01:33:13,640 --> 01:33:18,519
Speaker 4: and you see your pickles. Splend No not your mind

2084
01:33:18,680 --> 01:33:20,720
Speaker 4: was like also one of their pickle.

2085
01:33:20,520 --> 01:33:22,320
Speaker 5: The answer is he didn't have a smart device.

2086
01:33:22,960 --> 01:33:27,080
Speaker 1: Remember, you don't need to buy more pickles. You have

2087
01:33:27,160 --> 01:33:29,760
Speaker 1: more pickles than you can ever desire. Yeah, but this

2088
01:33:29,880 --> 01:33:32,559
Speaker 1: is now a scandal because basically everyone's saying this is

2089
01:33:32,560 --> 01:33:34,760
Speaker 1: fake and bullshit and the guy is just on X

2090
01:33:34,880 --> 01:33:37,320
Speaker 1: the Everything app just fucking going to town with people.

2091
01:33:37,320 --> 01:33:40,720
Speaker 1: It's so cool. I'm fine with that that this existing.

2092
01:33:40,880 --> 01:33:42,960
Speaker 1: But he has the post is it? Is?

2093
01:33:42,960 --> 01:33:44,600
Speaker 5: It sort of like a people are trying to do

2094
01:33:44,640 --> 01:33:46,600
Speaker 5: like a Marcus Browne with what was the device that

2095
01:33:46,680 --> 01:33:48,760
Speaker 5: he sort of like the human pin human pin.

2096
01:33:48,840 --> 01:33:49,080
Speaker 2: Yeah.

2097
01:33:49,640 --> 01:33:51,400
Speaker 1: The reason I bring this up though, is I like

2098
01:33:51,479 --> 01:33:54,960
Speaker 1: that every last two CS is we've had oh no,

2099
01:33:55,000 --> 01:33:56,599
Speaker 1: maybe it was twenty twenty four. We had the Rabbit

2100
01:33:56,640 --> 01:33:56,960
Speaker 1: all one.

2101
01:33:57,000 --> 01:33:58,959
Speaker 7: That was twenty four, Yeah, twenty four Rabbit.

2102
01:33:59,000 --> 01:34:00,000
Speaker 4: That show is there?

2103
01:34:00,120 --> 01:34:00,479
Speaker 2: That one?

2104
01:34:00,960 --> 01:34:03,800
Speaker 1: No? It was before better Offline. I was a much

2105
01:34:03,920 --> 01:34:05,840
Speaker 1: largest sad of person. So I didn't really have as

2106
01:34:05,880 --> 01:34:07,680
Speaker 1: much fun as I could with it. But that was

2107
01:34:07,680 --> 01:34:09,960
Speaker 1: the one where like everyone fell for it because it

2108
01:34:10,000 --> 01:34:12,320
Speaker 1: was kind of real, and it's just like that company

2109
01:34:12,360 --> 01:34:14,200
Speaker 1: is still rolling around in its own filth.

2110
01:34:14,920 --> 01:34:18,080
Speaker 7: Didn't get acquired by like HP or somebody.

2111
01:34:18,160 --> 01:34:21,439
Speaker 1: Oh no, that was the Human pand HP bought another

2112
01:34:21,479 --> 01:34:24,960
Speaker 1: company to put it with the Palm Prex. I guess like,

2113
01:34:24,960 --> 01:34:27,760
Speaker 1: like it's just really I think every year we need

2114
01:34:27,760 --> 01:34:32,360
Speaker 1: a fake thing. We need we need something that's like aggressively.

2115
01:34:32,520 --> 01:34:35,280
Speaker 4: Just got handed a bunch of handed fake that.

2116
01:34:36,040 --> 01:34:38,719
Speaker 1: What's you got there there? It just look like boxes.

2117
01:34:38,800 --> 01:34:41,160
Speaker 4: Yeah, they're boxes that hold things that remind me now

2118
01:34:41,160 --> 01:34:45,400
Speaker 4: that you said they look like the rabbit agents that

2119
01:34:45,479 --> 01:34:49,160
Speaker 4: can they AI agents, but they're in cardboard cardboard boxes

2120
01:34:49,560 --> 01:34:50,879
Speaker 4: that look like fridge magnets.

2121
01:34:52,000 --> 01:34:54,600
Speaker 1: Well you got in there because I'm quite curious to

2122
01:34:54,800 --> 01:34:57,600
Speaker 1: know what's in this box. And there's an AI agent.

2123
01:34:57,360 --> 01:34:59,320
Speaker 5: In that looks as a visual medium.

2124
01:35:00,040 --> 01:35:03,320
Speaker 1: Okay, I see some paper, I see I see it.

2125
01:35:03,479 --> 01:35:05,800
Speaker 4: There's two boxes and I'm also one right now.

2126
01:35:06,040 --> 01:35:08,040
Speaker 1: This is it's like a little green box.

2127
01:35:07,800 --> 01:35:10,240
Speaker 4: Little green magnet. I said, what is the it's an

2128
01:35:10,280 --> 01:35:12,880
Speaker 4: agentic Ai, I said, what's the agent? Party is like, oh,

2129
01:35:12,920 --> 01:35:14,640
Speaker 4: you know, if you want a girlfriend? Can I see this?

2130
01:35:14,840 --> 01:35:17,679
Speaker 4: Can I see this? Thank you? Ai Pie.

2131
01:35:17,800 --> 01:35:20,360
Speaker 1: Okay, this is just a box with a connector on it.

2132
01:35:20,520 --> 01:35:24,040
Speaker 7: That is the memory.

2133
01:35:24,160 --> 01:35:26,200
Speaker 1: This is just a battery. Man, I'm gonna be no,

2134
01:35:26,280 --> 01:35:30,320
Speaker 1: it is. There's no agent in that. Well, I'm disappointed

2135
01:35:31,280 --> 01:35:34,240
Speaker 1: down now. The rabbit R one was an NFT project

2136
01:35:34,400 --> 01:35:36,720
Speaker 1: that I wrote like a huge piece about because they're

2137
01:35:36,720 --> 01:35:38,680
Speaker 1: fucking fake and te thing, but I like that we

2138
01:35:38,720 --> 01:35:41,240
Speaker 1: have we should have you. If you want to do fake,

2139
01:35:41,360 --> 01:35:43,360
Speaker 1: you have to go all the way because this is

2140
01:35:43,520 --> 01:35:46,759
Speaker 1: Fickle has the most glossy website. It's like the most

2141
01:35:46,800 --> 01:35:50,759
Speaker 1: like sheen Field website. It looks so professional on mobile.

2142
01:35:50,760 --> 01:35:52,679
Speaker 5: It just keeps going, Yeah, it's an.

2143
01:35:52,600 --> 01:35:55,760
Speaker 1: Endless and they're just like yeah, it'll do everything now

2144
01:35:55,800 --> 01:35:58,479
Speaker 1: if you fucking pig. But it's it just made me

2145
01:35:58,479 --> 01:36:00,680
Speaker 1: look at it. You look at that, like, wow, this

2146
01:36:00,760 --> 01:36:01,759
Speaker 1: looks very.

2147
01:36:02,160 --> 01:36:07,000
Speaker 4: This is another again and there's just there's something.

2148
01:36:07,560 --> 01:36:10,960
Speaker 1: It looks like another battery, but it's blue. It's got

2149
01:36:11,000 --> 01:36:15,920
Speaker 1: a screen. Tiny. Okay, so this thing is I'm just

2150
01:36:15,960 --> 01:36:17,519
Speaker 1: going to describe this to it, says X.

2151
01:36:18,560 --> 01:36:19,879
Speaker 4: X origin Origin.

2152
01:36:20,000 --> 01:36:26,760
Speaker 1: Yeah, Origin, they're calling its z origin. There's zurrigein. Okay.

2153
01:36:26,800 --> 01:36:30,080
Speaker 1: I hit the button and it's like flashing blue and

2154
01:36:30,280 --> 01:36:31,280
Speaker 1: it is doing nothing else.

2155
01:36:31,280 --> 01:36:34,120
Speaker 4: Oh, you have to you have you gotta put them together.

2156
01:36:34,320 --> 01:36:35,080
Speaker 1: I put them together.

2157
01:36:35,120 --> 01:36:37,479
Speaker 4: Okay, you put them together. And then when A P

2158
01:36:37,680 --> 01:36:41,080
Speaker 4: I A I P I, when the AI pie AI

2159
01:36:41,160 --> 01:36:43,840
Speaker 4: pie is connected only to the battery module, pressed the

2160
01:36:43,880 --> 01:36:44,959
Speaker 4: power button briefly.

2161
01:36:45,200 --> 01:36:47,840
Speaker 1: Okay. I pressed the power button briefly, and after the

2162
01:36:47,880 --> 01:36:51,040
Speaker 1: white light turns on, white light turns on. Okay, So

2163
01:36:51,120 --> 01:36:54,560
Speaker 1: this is great for a audio medium, I realize. But

2164
01:36:54,600 --> 01:36:56,640
Speaker 1: the thing is about this is it's like this is

2165
01:36:56,760 --> 01:36:58,160
Speaker 1: just two It looks.

2166
01:36:57,960 --> 01:37:01,679
Speaker 4: Like we're playing with smart legos. Yeah, which is a thing.

2167
01:37:03,479 --> 01:37:06,360
Speaker 5: Hard to describe, how underwhelming it is, just like a.

2168
01:37:07,960 --> 01:37:11,479
Speaker 1: It's just the crap show now because but when you

2169
01:37:11,520 --> 01:37:14,000
Speaker 1: read about the pickle, it's funny, especially after a day

2170
01:37:14,000 --> 01:37:17,240
Speaker 1: of looking at actual smart glasses where everything is just blurry.

2171
01:37:17,640 --> 01:37:19,040
Speaker 1: And the guy was like, oh, what are you seeing?

2172
01:37:19,080 --> 01:37:22,280
Speaker 1: And it was I think, what were those ones? Where

2173
01:37:22,400 --> 01:37:24,559
Speaker 1: is that the TCL booth? I think I saw them

2174
01:37:24,760 --> 01:37:27,120
Speaker 1: because that one was it was like twelve hundred dollars

2175
01:37:27,320 --> 01:37:29,080
Speaker 1: and it didn't really work very well. You had to

2176
01:37:29,120 --> 01:37:32,200
Speaker 1: control it by these people don't use products, I think,

2177
01:37:32,240 --> 01:37:35,559
Speaker 1: because it's like, yeah, you just like rub your finger

2178
01:37:35,800 --> 01:37:38,600
Speaker 1: across the top right part of it, and it was

2179
01:37:38,640 --> 01:37:41,200
Speaker 1: like a picture of Leonardo da Vinci and it's like

2180
01:37:41,439 --> 01:37:44,880
Speaker 1: photos and you could take video with it. And I

2181
01:37:44,920 --> 01:37:46,400
Speaker 1: had to walk away because all I could think of

2182
01:37:46,439 --> 01:37:48,040
Speaker 1: the back of evers, I just want to ask him

2183
01:37:48,040 --> 01:37:50,040
Speaker 1: what the fucking point of any of this is. But

2184
01:37:50,080 --> 01:37:52,120
Speaker 1: I think I would have turned into Werner Herze and

2185
01:37:52,240 --> 01:37:55,360
Speaker 1: make Peo put this device on my face and it

2186
01:37:55,400 --> 01:37:57,519
Speaker 1: takes me away from humanity and then you steal my

2187
01:37:57,600 --> 01:37:59,280
Speaker 1: money for it. But I was just decided not to

2188
01:37:59,320 --> 01:38:03,080
Speaker 1: do the bit there. It's just I'm I'm really this

2189
01:38:03,160 --> 01:38:04,960
Speaker 1: whole time, I've been trying to rack my brains of

2190
01:38:05,000 --> 01:38:07,360
Speaker 1: why I would ever want because I like the idea

2191
01:38:07,400 --> 01:38:09,240
Speaker 1: of a heads up display. I think the idea of

2192
01:38:09,280 --> 01:38:11,920
Speaker 1: walking around being able to pull one up. But all

2193
01:38:11,960 --> 01:38:13,400
Speaker 1: of these things seem to run into the same thing,

2194
01:38:13,400 --> 01:38:16,280
Speaker 1: which is they want to be constantly on. They don't

2195
01:38:16,280 --> 01:38:18,680
Speaker 1: want to they don't seem to want to be like

2196
01:38:18,840 --> 01:38:21,040
Speaker 1: things you briefly look at. They want to absorb your

2197
01:38:21,040 --> 01:38:24,559
Speaker 1: attention fully and it just doesn't feel like any device

2198
01:38:24,640 --> 01:38:26,559
Speaker 1: does that other than the phone, and the phone doing

2199
01:38:26,600 --> 01:38:29,400
Speaker 1: it doesn't seem to be for good reasons either or

2200
01:38:30,280 --> 01:38:30,920
Speaker 1: with good results.

2201
01:38:31,000 --> 01:38:35,599
Speaker 7: Yeah, so I've been using the x real one sel. Okay,

2202
01:38:35,920 --> 01:38:38,559
Speaker 7: it's the newest and it's good. It's what I like

2203
01:38:38,600 --> 01:38:41,360
Speaker 7: about it is it will meet you where your posture is,

2204
01:38:41,600 --> 01:38:43,559
Speaker 7: especially if you're a pasture is Like let's say I'm

2205
01:38:43,560 --> 01:38:45,400
Speaker 7: in my hotel and I might want to play a

2206
01:38:45,479 --> 01:38:49,960
Speaker 7: video game on my like whatever portable. The lead didn't

2207
01:38:49,960 --> 01:38:51,880
Speaker 7: go s demos, But I don't want to hold this thing.

2208
01:38:51,920 --> 01:38:53,080
Speaker 7: So I was just going to flight for a while,

2209
01:38:53,360 --> 01:38:55,400
Speaker 7: right tired. But I put these glasses and I.

2210
01:38:55,360 --> 01:38:59,320
Speaker 1: Have and it's just a TV screen effectively.

2211
01:38:57,439 --> 01:38:59,880
Speaker 7: It puts the screen above you and you can move

2212
01:38:59,880 --> 01:39:02,040
Speaker 7: it and you can just have the controller in your hands.

2213
01:39:02,479 --> 01:39:05,759
Speaker 7: And sure, I feel like I'm in Wally's Origin stories

2214
01:39:05,920 --> 01:39:09,240
Speaker 7: at that point. But in that case, and if I

2215
01:39:09,240 --> 01:39:11,439
Speaker 7: had managed to pack it correctly on the airplane, which

2216
01:39:11,479 --> 01:39:14,519
Speaker 7: I couldn't because everybody goes to see s overpacks, it's

2217
01:39:14,560 --> 01:39:17,080
Speaker 7: the problem. But like no, I think x Rayal is

2218
01:39:17,120 --> 01:39:18,560
Speaker 7: one of these companies and they're doing a bunch of

2219
01:39:18,600 --> 01:39:22,519
Speaker 7: different partnerships. They're working with seemingly everybody possible, which you

2220
01:39:22,560 --> 01:39:25,839
Speaker 7: sort of want if like you want cross compatibility, right.

2221
01:39:25,760 --> 01:39:26,200
Speaker 4: I wouldn't.

2222
01:39:26,280 --> 01:39:27,840
Speaker 1: But I went to the X Real booth and I

2223
01:39:27,880 --> 01:39:29,240
Speaker 1: was I was kind of excited to go over there

2224
01:39:29,240 --> 01:39:30,760
Speaker 1: because I thought these are just gonna be glasses that

2225
01:39:30,880 --> 01:39:33,800
Speaker 1: little TV's in your eyes, and I'm like, way less.

2226
01:39:34,000 --> 01:39:36,040
Speaker 1: There are way more offensive things on the show. And

2227
01:39:36,120 --> 01:39:38,640
Speaker 1: I get there and there's just a fucking thing that

2228
01:39:38,720 --> 01:39:41,840
Speaker 1: says Vibe agent. And I try and they're like, you

2229
01:39:41,840 --> 01:39:43,640
Speaker 1: could book a demo. I'm like, you don't want to

2230
01:39:43,640 --> 01:39:45,040
Speaker 1: see you don't want to put me in a box

2231
01:39:45,120 --> 01:39:48,720
Speaker 1: with this fucking thing. Only one of us is I

2232
01:39:48,800 --> 01:39:49,320
Speaker 1: don't know.

2233
01:39:49,760 --> 01:39:50,160
Speaker 7: I don't know.

2234
01:39:50,240 --> 01:39:54,080
Speaker 1: It's a Vivans Vivan's agent. It's a Vivan's agent. I

2235
01:39:54,400 --> 01:39:57,320
Speaker 1: take metal Fen today and it's fine. I'm trying to

2236
01:39:57,320 --> 01:40:00,200
Speaker 1: find this thing because it was so bizarre to me

2237
01:40:01,080 --> 01:40:03,559
Speaker 1: that they're just putting these words to It's like vibe

2238
01:40:03,560 --> 01:40:07,320
Speaker 1: description at this boy like AI agent glasses, fucking fucking

2239
01:40:07,439 --> 01:40:08,160
Speaker 1: slap and.

2240
01:40:08,120 --> 01:40:10,639
Speaker 5: Then it's just take slop.

2241
01:40:10,680 --> 01:40:12,599
Speaker 1: And I saw a guy, one of the demo guys,

2242
01:40:12,760 --> 01:40:16,120
Speaker 1: very overly eager fella was like yeah. I call these

2243
01:40:16,120 --> 01:40:18,760
Speaker 1: my Tony Stark glasses, and I tried to use them

2244
01:40:18,800 --> 01:40:20,080
Speaker 1: as like, sir, there's a line, and there was like

2245
01:40:20,120 --> 01:40:22,639
Speaker 1: a twenty five person line. I'm just like, oh god,

2246
01:40:22,720 --> 01:40:25,480
Speaker 1: this is just I don't lining up for anything feels

2247
01:40:25,520 --> 01:40:28,720
Speaker 1: deranged here. And I always think the same thing, which

2248
01:40:28,760 --> 01:40:31,439
Speaker 1: is if you had double the amounts of these, you

2249
01:40:31,479 --> 01:40:35,160
Speaker 1: would be fine. Maybe they're trying to do like they're

2250
01:40:35,200 --> 01:40:37,720
Speaker 1: trying to make it so that scarcity is that you're like, oh,

2251
01:40:37,720 --> 01:40:40,000
Speaker 1: why is everyone lining up for this? Maybe they're just

2252
01:40:40,000 --> 01:40:42,040
Speaker 1: trying to put friction between people and the products they

2253
01:40:42,280 --> 01:40:44,559
Speaker 1: They just don't fucking work that well. Is there?

2254
01:40:44,600 --> 01:40:44,760
Speaker 5: Right?

2255
01:40:44,840 --> 01:40:47,799
Speaker 1: There must be AI shit in this, I said agents No.

2256
01:40:47,600 --> 01:40:51,559
Speaker 7: No, I wonder was there were there? Where was this?

2257
01:40:51,720 --> 01:40:52,719
Speaker 7: Because were there two.

2258
01:40:52,640 --> 01:40:56,320
Speaker 1: Boots in the It was in the what's it called

2259
01:40:56,400 --> 01:40:58,000
Speaker 1: the South Hall?

2260
01:40:58,040 --> 01:41:00,720
Speaker 7: I believe because I've been going, because I've been that's

2261
01:41:01,040 --> 01:41:04,120
Speaker 7: affair like they are. I will say the words a

2262
01:41:04,400 --> 01:41:06,160
Speaker 7: slab as many times as I feel like it, and

2263
01:41:06,200 --> 01:41:11,160
Speaker 7: I don't think i've seen that much AI. If any ready.

2264
01:41:10,600 --> 01:41:15,160
Speaker 1: Reddit thread here saying the instant translation the Visual Assistant

2265
01:41:15,160 --> 01:41:18,640
Speaker 1: Object Recognition Productivity BOO boost quickly access shots remind us

2266
01:41:18,680 --> 01:41:20,400
Speaker 1: or instructions while you do something else.

2267
01:41:21,720 --> 01:41:23,639
Speaker 7: Yeah, it's and it's an ex real product.

2268
01:41:23,680 --> 01:41:27,479
Speaker 1: Here we go, Project Aura. It feels like tomorrow. Jesus

2269
01:41:27,479 --> 01:41:32,920
Speaker 1: fucking Christ. It's on Android x A hands free control tomorrow.

2270
01:41:33,160 --> 01:41:37,880
Speaker 7: Oh yeah, I see it. Yeah, it's an unlocked early access. Yeah,

2271
01:41:38,000 --> 01:41:40,200
Speaker 7: this is not something I have gotten my hands on yet.

2272
01:41:40,200 --> 01:41:41,719
Speaker 4: Why didn't they say it looks like tomorrow?

2273
01:41:42,680 --> 01:41:43,599
Speaker 1: I don't know.

2274
01:41:44,240 --> 01:41:46,120
Speaker 4: Wouldn't that be.

2275
01:41:45,439 --> 01:41:47,280
Speaker 7: Because feel is something you feel.

2276
01:41:47,720 --> 01:41:51,840
Speaker 4: Yeah, I see, looks could be deceiving, Yes, it might

2277
01:41:51,880 --> 01:41:52,920
Speaker 4: not look like tomorrow.

2278
01:41:52,920 --> 01:41:55,880
Speaker 7: And then also look is the signature weasel word when

2279
01:41:55,920 --> 01:41:58,240
Speaker 7: you're not really able to commit to anything yet. Yeah,

2280
01:41:58,320 --> 01:42:00,920
Speaker 7: it looks like it open, it looks like it could

2281
01:42:00,960 --> 01:42:02,400
Speaker 7: be a company that isn't lying to us.

2282
01:42:02,439 --> 01:42:03,920
Speaker 4: But then why doesn't feel that?

2283
01:42:04,880 --> 01:42:07,760
Speaker 1: It's just like I keep seeing this thing of like this,

2284
01:42:08,120 --> 01:42:11,320
Speaker 1: they have this imaginary person who's just looking around, going

2285
01:42:11,320 --> 01:42:13,920
Speaker 1: what's that? What's that? What's that? What's that? Dude? What's that?

2286
01:42:13,960 --> 01:42:15,160
Speaker 1: What's that object? What's that?

2287
01:42:15,200 --> 01:42:17,120
Speaker 4: But then you come here and you do see that person,

2288
01:42:17,600 --> 01:42:19,440
Speaker 4: but the person is on the floor.

2289
01:42:19,320 --> 01:42:23,479
Speaker 5: Or hordes of that that photo that post of of

2290
01:42:23,560 --> 01:42:25,760
Speaker 5: just like the Horde trying to like break in at

2291
01:42:25,760 --> 01:42:26,000
Speaker 5: ten A.

2292
01:42:26,160 --> 01:42:28,160
Speaker 4: M Oh my god, yeah did I did I send

2293
01:42:28,200 --> 01:42:30,240
Speaker 4: you guys a picture like that?

2294
01:42:30,320 --> 01:42:32,400
Speaker 5: You posted the photo of the people like trying to

2295
01:42:32,439 --> 01:42:33,840
Speaker 5: break into the show floor.

2296
01:42:33,960 --> 01:42:35,120
Speaker 1: Oh yeah, yeah, yeah.

2297
01:42:35,080 --> 01:42:37,760
Speaker 4: The same thing. I was like, is it always like this?

2298
01:42:38,000 --> 01:42:39,880
Speaker 1: No? I and I said out, I'm like, what are

2299
01:42:39,880 --> 01:42:41,160
Speaker 1: you so excited about?

2300
01:42:41,360 --> 01:42:44,200
Speaker 4: I saw a crowd, the largest crowd I've seen yet

2301
01:42:44,800 --> 01:42:48,879
Speaker 4: in any CS around a room a new roomba device

2302
01:42:49,120 --> 01:42:51,160
Speaker 4: that wasn't a room but like a room room but

2303
01:42:51,400 --> 01:42:52,720
Speaker 4: s and I was like, what the.

2304
01:42:54,520 --> 01:42:57,800
Speaker 1: At least that's approving party, Like you said, that is

2305
01:42:57,840 --> 01:43:00,240
Speaker 1: something that works every year, and like last year. I

2306
01:43:00,280 --> 01:43:02,560
Speaker 1: didn't check out the robot vacuums this year, but I

2307
01:43:02,600 --> 01:43:04,559
Speaker 1: remember last year they were like, we've got little arms

2308
01:43:04,560 --> 01:43:07,080
Speaker 1: that can pick stuff up. I did. That actually led

2309
01:43:07,120 --> 01:43:09,400
Speaker 1: me to one of the funniest things. I'm sure that

2310
01:43:09,439 --> 01:43:11,960
Speaker 1: this was for like legitimate reasons. There's a robot vacuum

2311
01:43:12,000 --> 01:43:15,200
Speaker 1: company where you could pick up a cleaning struggle. It said, one,

2312
01:43:15,360 --> 01:43:19,040
Speaker 1: pick your struggle to drop your coin. Three get your magna.

2313
01:43:19,160 --> 01:43:21,520
Speaker 4: You're a now entering the cleaning struggles.

2314
01:43:21,320 --> 01:43:23,840
Speaker 1: And then it just had a dust always hides under

2315
01:43:23,880 --> 01:43:26,599
Speaker 1: low furniture. Hair always gets tangled in the brush. Too busy,

2316
01:43:26,680 --> 01:43:29,920
Speaker 1: no time to clean, Cleaning requires too much disassembly. I

2317
01:43:30,520 --> 01:43:32,000
Speaker 1: there are times when I want to know more, and

2318
01:43:32,040 --> 01:43:33,960
Speaker 1: there are times when I just read something. I'm like, yeah,

2319
01:43:34,000 --> 01:43:35,120
Speaker 1: that's all I need, you know.

2320
01:43:35,080 --> 01:43:37,320
Speaker 5: But I like, this is the issue is that you

2321
01:43:37,320 --> 01:43:39,519
Speaker 5: can fully automated task, but like the robot will need

2322
01:43:39,560 --> 01:43:40,160
Speaker 5: to be maintained.

2323
01:43:40,200 --> 01:43:41,000
Speaker 1: Yeah, like do you want to?

2324
01:43:41,200 --> 01:43:42,920
Speaker 5: You're sort of trading one thing for the other. And

2325
01:43:42,920 --> 01:43:45,760
Speaker 5: again with like consumers, people will buy the thing because

2326
01:43:45,760 --> 01:43:47,120
Speaker 5: they're like, oh, I'm lazy, I don't want to.

2327
01:43:47,160 --> 01:43:48,240
Speaker 1: I don't wanna you know.

2328
01:43:48,240 --> 01:43:50,479
Speaker 5: I totally get that, but they don't think that what

2329
01:43:50,520 --> 01:43:53,160
Speaker 5: they're doing is they're trading like the occasional sweep or

2330
01:43:53,240 --> 01:43:57,000
Speaker 5: vacuum of their floor for like, you know, maintaining this

2331
01:43:57,280 --> 01:43:59,200
Speaker 5: complex machine.

2332
01:43:58,760 --> 01:44:01,200
Speaker 1: With like light ar and like I have a fucking

2333
01:44:01,320 --> 01:44:05,240
Speaker 1: robo rock. If you're listening from robo Rock, your shit sucks.

2334
01:44:05,320 --> 01:44:07,600
Speaker 4: That's what it was. It was robo rock. It was

2335
01:44:07,640 --> 01:44:10,080
Speaker 4: a big giant black and red pavilion.

2336
01:44:10,160 --> 01:44:12,960
Speaker 1: Yeah yeah, yeah, I have a quite expensive robo rock.

2337
01:44:13,200 --> 01:44:15,680
Speaker 1: And the dust that that ship doesn't pick up, I

2338
01:44:15,760 --> 01:44:17,880
Speaker 1: undo that ship with a fucking sweat the fact I

2339
01:44:17,880 --> 01:44:20,439
Speaker 1: have to clean up after my robot at this point.

2340
01:44:20,479 --> 01:44:22,280
Speaker 1: Just make it through little turds. Make it a game.

2341
01:44:22,560 --> 01:44:23,760
Speaker 4: Some an AI lawnmower.

2342
01:44:24,320 --> 01:44:28,040
Speaker 1: An AI lawn mower isn't that interesting. See, that's one

2343
01:44:28,040 --> 01:44:31,400
Speaker 1: where I'm like, I could almost imagine the industrial applications

2344
01:44:31,400 --> 01:44:34,080
Speaker 1: if you just take AI away, because robotics has been

2345
01:44:34,120 --> 01:44:35,479
Speaker 1: doing AI for a while. That's fine.

2346
01:44:35,680 --> 01:44:37,080
Speaker 4: Another one of the things where it's like, you know,

2347
01:44:37,520 --> 01:44:40,680
Speaker 4: what might be an interesting innovation that I could be

2348
01:44:40,880 --> 01:44:44,439
Speaker 4: sold into A pitched the AI onto it, and then

2349
01:44:44,439 --> 01:44:46,920
Speaker 4: I'm like, I don't know, yeah, I even.

2350
01:44:46,840 --> 01:44:48,599
Speaker 1: Though it was already out because if you already had

2351
01:44:48,600 --> 01:44:51,559
Speaker 1: like ey rob doing like anything Gutta cleaners and ship

2352
01:44:51,920 --> 01:44:52,719
Speaker 1: you know, yeah.

2353
01:44:52,600 --> 01:44:55,320
Speaker 5: I mean any anything like that, whether it's a like

2354
01:44:55,400 --> 01:44:58,920
Speaker 5: the lawmowers or like pool cleaners and another classes like

2355
01:44:59,000 --> 01:45:02,559
Speaker 5: actually useful robot now that they were I mean that's

2356
01:45:02,680 --> 01:45:03,880
Speaker 5: that was AI before.

2357
01:45:04,080 --> 01:45:06,640
Speaker 1: Yes, they just didn't have to they didn't have to

2358
01:45:06,800 --> 01:45:07,840
Speaker 1: say words.

2359
01:45:08,000 --> 01:45:10,839
Speaker 4: Yeah, So hearing aids that were just they were literally

2360
01:45:10,960 --> 01:45:13,800
Speaker 4: just hearing as and they made some improvements and they

2361
01:45:13,920 --> 01:45:16,080
Speaker 4: are throwing AI. But then you ask them about it

2362
01:45:16,120 --> 01:45:18,400
Speaker 4: and it's like the technology that like you said, last generation,

2363
01:45:18,680 --> 01:45:21,880
Speaker 4: they're already using. Yeah, you know, I grew systems to

2364
01:45:21,880 --> 01:45:23,840
Speaker 4: try to improve your ability to hear things.

2365
01:45:23,880 --> 01:45:27,640
Speaker 1: At this sense, it's just like I'm now thinking, you

2366
01:45:27,680 --> 01:45:29,559
Speaker 1: just chop the word AI off and it would be fine.

2367
01:45:29,800 --> 01:45:32,200
Speaker 1: But did you see any robot vacuums? So I'm gonna

2368
01:45:32,200 --> 01:45:33,920
Speaker 1: have to chase these fuckers down myself.

2369
01:45:34,439 --> 01:45:37,400
Speaker 7: I am not the one covering the robo vacuum on

2370
01:45:37,520 --> 01:45:40,719
Speaker 7: a team. I just saw the dancing a GI robot.

2371
01:45:40,840 --> 01:45:44,160
Speaker 1: Yeah, okay, talk to me about this goddamn thing poop.

2372
01:45:44,040 --> 01:45:46,200
Speaker 7: Dance like me at my the first wedding I ever

2373
01:45:46,200 --> 01:45:49,240
Speaker 7: went to when I was ten years old, and it

2374
01:45:49,280 --> 01:45:52,040
Speaker 7: was unfortunately named a g I bot And I'm like, no,

2375
01:45:52,240 --> 01:45:54,799
Speaker 7: this isn't Actually this is doing a pre rehearsed routine,

2376
01:45:54,920 --> 01:45:57,599
Speaker 7: like why are we words have meaning, or at least

2377
01:45:57,640 --> 01:45:58,080
Speaker 7: they should.

2378
01:45:58,439 --> 01:46:01,519
Speaker 1: So it's like, I will that thing so hard it flies.

2379
01:46:01,680 --> 01:46:03,360
Speaker 7: There were two of them, so they might try to

2380
01:46:03,360 --> 01:46:04,000
Speaker 7: come at you from.

2381
01:46:03,920 --> 01:46:06,639
Speaker 1: Both, and I've been boxing for years. I'll take those

2382
01:46:06,680 --> 01:46:09,560
Speaker 1: fuckers out, no problem. Me and my weapons.

2383
01:46:09,680 --> 01:46:10,960
Speaker 4: Yeah, robots don't have weapons.

2384
01:46:11,040 --> 01:46:13,160
Speaker 1: Robots don't have weapons, and they don't have friends.

2385
01:46:13,680 --> 01:46:15,080
Speaker 5: They don't have dance moves apparently.

2386
01:46:15,200 --> 01:46:18,280
Speaker 7: But the Boston Dynamics people have made people afraid, which

2387
01:46:18,320 --> 01:46:19,639
Speaker 7: is the whole thing where this.

2388
01:46:19,840 --> 01:46:21,679
Speaker 1: That's the way most some people afraid.

2389
01:46:21,760 --> 01:46:22,519
Speaker 4: Well, no, that's the.

2390
01:46:22,439 --> 01:46:24,960
Speaker 7: Thing where most people engage with the idea of like

2391
01:46:25,040 --> 01:46:27,280
Speaker 7: the robot that will do anything? Is it one social VideA?

2392
01:46:27,280 --> 01:46:30,360
Speaker 7: They solve a bost Dynamics thing three years ago, right,

2393
01:46:30,400 --> 01:46:32,280
Speaker 7: and then that's informed them to think, ah, shit, I

2394
01:46:32,320 --> 01:46:34,800
Speaker 7: gotta be careful about everything from now on. Yeah, but

2395
01:46:34,960 --> 01:46:36,760
Speaker 7: when you look at it's like, oh, it's trying to

2396
01:46:36,840 --> 01:46:37,800
Speaker 7: serve a press demo.

2397
01:46:38,160 --> 01:46:39,920
Speaker 5: Yeah, those are all highly as well.

2398
01:46:40,040 --> 01:46:42,840
Speaker 1: What's it the demo for? What is the purpose of

2399
01:46:42,880 --> 01:46:44,480
Speaker 1: the dancing robot?

2400
01:46:44,680 --> 01:46:47,000
Speaker 4: It to disarm you, I'll.

2401
01:46:46,800 --> 01:46:49,040
Speaker 7: Impressing you and getting your money to invest in it.

2402
01:46:49,280 --> 01:46:51,640
Speaker 5: So the very first chatbot was created in the in

2403
01:46:51,720 --> 01:46:55,599
Speaker 5: the sixties and Eliza, Yeah, and so there's Eliza effect.

2404
01:46:55,720 --> 01:46:57,600
Speaker 5: I think so much of what we see here is

2405
01:46:57,680 --> 01:47:00,320
Speaker 5: driven by sort of different versions of that, which is

2406
01:47:00,360 --> 01:47:04,840
Speaker 5: where you show people something doing a task that they've

2407
01:47:04,840 --> 01:47:07,240
Speaker 5: only ever seen a human do before, whether I'm dancing

2408
01:47:07,360 --> 01:47:10,400
Speaker 5: or mowing a lawn or whatever else. And because like

2409
01:47:10,520 --> 01:47:15,439
Speaker 5: our only metaphor for intelligence is humans we automatically leap to.

2410
01:47:15,760 --> 01:47:18,720
Speaker 5: This must be a human level of intelligence, right, this

2411
01:47:18,800 --> 01:47:20,799
Speaker 5: is what this is what has fuel Tesla's autopilot.

2412
01:47:20,920 --> 01:47:22,640
Speaker 1: Does that makes sense that Yeah, it's like if we

2413
01:47:22,680 --> 01:47:25,400
Speaker 1: make it seem human adjacent, they'll just fill in the gaps.

2414
01:47:25,600 --> 01:47:28,120
Speaker 5: That's what they've done with LMS and exactly right. And

2415
01:47:28,439 --> 01:47:31,120
Speaker 5: what this does is this it locks you into this mode. Again,

2416
01:47:31,120 --> 01:47:33,880
Speaker 5: We've seen ten years of this with Tesla autopilot, where

2417
01:47:34,200 --> 01:47:36,400
Speaker 5: it's like it's getting better, it's getting better, it's getting better,

2418
01:47:36,439 --> 01:47:39,040
Speaker 5: it's getting better, it's getting better, but like what's getting

2419
01:47:39,080 --> 01:47:43,680
Speaker 5: better is the illusion? Yes, and what is completely like

2420
01:47:43,800 --> 01:47:47,000
Speaker 5: left out of this entire framework for engaging with with

2421
01:47:47,280 --> 01:47:49,599
Speaker 5: any kind of automation technology is the is the fact

2422
01:47:49,600 --> 01:47:53,240
Speaker 5: that at some point it becomes actually useful, there's actually

2423
01:47:53,320 --> 01:47:56,000
Speaker 5: real value. And with the autonomous vehicles, it's really simple.

2424
01:47:56,040 --> 01:47:58,599
Speaker 5: When that point is it's when the company says we

2425
01:47:58,640 --> 01:48:01,000
Speaker 5: take legal responsibility for this system.

2426
01:48:00,760 --> 01:48:01,559
Speaker 1: And they never will.

2427
01:48:02,000 --> 01:48:04,000
Speaker 5: Well, WAYMO does did.

2428
01:48:03,960 --> 01:48:04,560
Speaker 1: They actually take that?

2429
01:48:04,680 --> 01:48:05,120
Speaker 5: Of course?

2430
01:48:05,320 --> 01:48:05,720
Speaker 1: There's no.

2431
01:48:06,120 --> 01:48:08,559
Speaker 5: Yeah, there's no, there's no there's no human in them.

2432
01:48:08,680 --> 01:48:10,479
Speaker 5: I mean the zukes is that are running around the strip,

2433
01:48:10,520 --> 01:48:12,120
Speaker 5: and and the waymos that are all over the Bay.

2434
01:48:12,800 --> 01:48:15,320
Speaker 5: There's no there's no human in them to take responsibility.

2435
01:48:15,439 --> 01:48:17,880
Speaker 1: It's it's oh, I suppose that's right. Yeah, I mean

2436
01:48:18,040 --> 01:48:20,960
Speaker 1: what about the robotex season in Austin. They still got

2437
01:48:20,960 --> 01:48:21,519
Speaker 1: people in them.

2438
01:48:22,080 --> 01:48:24,640
Speaker 5: Those have someone in the in the passenger seat. But no,

2439
01:48:24,720 --> 01:48:27,000
Speaker 5: I mean in Texas, like those are technically considered to

2440
01:48:27,000 --> 01:48:28,520
Speaker 5: be autonomous vehicles.

2441
01:48:28,720 --> 01:48:30,599
Speaker 1: By Texan autonomy laws.

2442
01:48:31,080 --> 01:48:32,679
Speaker 5: Yeah, which are essentially non existing.

2443
01:48:32,920 --> 01:48:34,920
Speaker 1: Nice, that's good, that's really It's.

2444
01:48:34,800 --> 01:48:37,360
Speaker 5: Funny when you actually pull up the Tesla Robotaxi app,

2445
01:48:37,600 --> 01:48:40,840
Speaker 5: it says if your ride is in Texas is autonomous.

2446
01:48:40,920 --> 01:48:43,160
Speaker 5: If you're ride is in California, it's not.

2447
01:48:43,720 --> 01:48:45,080
Speaker 1: And it's the same experience.

2448
01:48:45,280 --> 01:48:46,080
Speaker 5: I mean, it's the same thing.

2449
01:48:46,160 --> 01:48:51,040
Speaker 1: Yeah, very fucking Have you used Zekes Yeah, so I'd

2450
01:48:51,160 --> 01:48:53,840
Speaker 1: ride with Zokes a year ago at CES, right, So

2451
01:48:53,880 --> 01:48:55,600
Speaker 1: I haven't so so that was cool, But I was,

2452
01:48:55,640 --> 01:48:55,960
Speaker 1: you know, it.

2453
01:48:55,920 --> 01:48:57,800
Speaker 5: Was with with the ct Yeah, it's like the start

2454
01:48:57,840 --> 01:48:59,880
Speaker 5: of a whole thing. H And to be perfectly honest,

2455
01:49:00,080 --> 01:49:01,960
Speaker 5: at the time, I was like this, it's a very

2456
01:49:02,080 --> 01:49:04,200
Speaker 5: It's it's the only product that you can kind of

2457
01:49:04,280 --> 01:49:06,200
Speaker 5: ride in right now that is designed from the ground

2458
01:49:06,280 --> 01:49:07,200
Speaker 5: up to not just be a car.

2459
01:49:07,280 --> 01:49:09,679
Speaker 1: Yeah, because it's like an empty room with wheels. Yeah,

2460
01:49:09,760 --> 01:49:11,960
Speaker 1: and so that's good. That's kind of cool the Docklands

2461
01:49:12,000 --> 01:49:12,680
Speaker 1: light railway, and.

2462
01:49:12,720 --> 01:49:14,479
Speaker 5: It's perfect for the strip. And like for a long

2463
01:49:14,479 --> 01:49:16,880
Speaker 5: time the AV space was like like AV companies were like,

2464
01:49:17,120 --> 01:49:19,360
Speaker 5: we can't like market on the novelty of this because

2465
01:49:19,360 --> 01:49:21,439
Speaker 5: it's like such a serious thing. We're going to conquer

2466
01:49:21,520 --> 01:49:23,639
Speaker 5: the world. And and like one of the cool things

2467
01:49:23,640 --> 01:49:25,519
Speaker 5: that's happened is that there's been so much like struggle

2468
01:49:25,560 --> 01:49:27,880
Speaker 5: to get this stuff to market that now it's sort

2469
01:49:27,920 --> 01:49:30,519
Speaker 5: of like, well, fuck it is. It is novelty, right,

2470
01:49:30,560 --> 01:49:32,960
Speaker 5: Like this is just a cooler way to ride down

2471
01:49:32,960 --> 01:49:35,080
Speaker 5: the strip to the club or to the you know,

2472
01:49:35,120 --> 01:49:36,200
Speaker 5: the casino, or to this.

2473
01:49:36,200 --> 01:49:37,400
Speaker 1: That to the guns shop.

2474
01:49:37,560 --> 01:49:39,720
Speaker 5: Yeah, And like I think that's fine. I don't know,

2475
01:49:39,720 --> 01:49:41,320
Speaker 5: I don't know how they're making money doing it, and

2476
01:49:41,439 --> 01:49:41,880
Speaker 5: I don't know.

2477
01:49:41,960 --> 01:49:44,639
Speaker 1: That's actually are any of these companies making any money?

2478
01:49:44,760 --> 01:49:47,040
Speaker 5: No, the robot taxi companies are not yet making money.

2479
01:49:47,080 --> 01:49:48,240
Speaker 1: Why are they bleeding so much?

2480
01:49:48,880 --> 01:49:51,880
Speaker 5: Well, because it's extremely expensive. I mean each one of

2481
01:49:51,920 --> 01:49:53,960
Speaker 5: these well so each one of the vehicles. So like

2482
01:49:54,320 --> 01:49:57,080
Speaker 5: you know, we work with estimates, but you know, best

2483
01:49:57,160 --> 01:49:59,240
Speaker 5: estimates for a WEIMA is you know, two to three hundred.

2484
01:49:59,040 --> 01:50:01,320
Speaker 1: Thousand dollars of vehicle, right.

2485
01:50:01,520 --> 01:50:03,599
Speaker 5: And then the operating costs are very high. We don't

2486
01:50:03,600 --> 01:50:06,400
Speaker 5: we know very little about like how many how many

2487
01:50:06,400 --> 01:50:09,240
Speaker 5: miles can they go? Right, because they're these electric vehicles

2488
01:50:09,880 --> 01:50:11,960
Speaker 5: and they're powered by you know, they're powering not just

2489
01:50:12,000 --> 01:50:14,519
Speaker 5: the drive but also all this light, ar and radar

2490
01:50:14,640 --> 01:50:17,720
Speaker 5: and compute and all these other things. So like the utilization,

2491
01:50:18,000 --> 01:50:19,280
Speaker 5: how many rides can it give.

2492
01:50:19,160 --> 01:50:21,519
Speaker 1: Before they must just go back and charge.

2493
01:50:21,680 --> 01:50:25,160
Speaker 5: Well, I mean, apparently they're they're burning somewhere on the

2494
01:50:25,280 --> 01:50:26,439
Speaker 5: order of two billion dollars a year.

2495
01:50:26,640 --> 01:50:30,400
Speaker 1: Jesus fucking Christ. Is that that from purchasing more of them?

2496
01:50:31,160 --> 01:50:35,120
Speaker 5: That is, they're scaling very aggressively, and they're also they're

2497
01:50:35,160 --> 01:50:38,280
Speaker 5: continuing to use most of the So they were ready

2498
01:50:38,320 --> 01:50:40,200
Speaker 5: to sort of start bringing in this vehicle from China

2499
01:50:40,200 --> 01:50:43,800
Speaker 5: which was using fewer sensors and so really bringing the

2500
01:50:43,840 --> 01:50:45,640
Speaker 5: cost down, and then of course tariff screwed that up.

2501
01:50:45,960 --> 01:50:47,600
Speaker 5: I think they've got that back on track based on

2502
01:50:47,640 --> 01:50:50,719
Speaker 5: my conversations here, so you know, I think they're Look,

2503
01:50:50,560 --> 01:50:53,320
Speaker 5: I think WEIMA will get to a point where where

2504
01:50:53,320 --> 01:50:55,599
Speaker 5: they will you know, have a viable business. I think

2505
01:50:55,600 --> 01:50:58,200
Speaker 5: they're racing. I've heard fifteen billion dollars right now to

2506
01:50:58,280 --> 01:50:58,800
Speaker 5: get to.

2507
01:50:58,960 --> 01:51:01,200
Speaker 1: IPO running out of money. We're running out of money.

2508
01:51:01,200 --> 01:51:03,679
Speaker 1: I swear to We're gonna run out liquidity.

2509
01:51:03,720 --> 01:51:05,920
Speaker 5: And twenty twenty six is gonna be wild, because yeah,

2510
01:51:06,200 --> 01:51:08,639
Speaker 5: WEIMO is not the only company that needs to raise money.

2511
01:51:08,720 --> 01:51:11,479
Speaker 5: There's huge I PO is, SpaceX.

2512
01:51:10,960 --> 01:51:14,000
Speaker 1: Open AI, Open AI is not going to fucking I

2513
01:51:14,080 --> 01:51:14,280
Speaker 1: p O.

2514
01:51:14,400 --> 01:51:15,200
Speaker 5: I don't know any of them.

2515
01:51:15,200 --> 01:51:18,440
Speaker 1: An I think SpaceX could.

2516
01:51:19,080 --> 01:51:21,439
Speaker 5: I'm I'm pretty. I'm pretty. I mean we'll see, like

2517
01:51:21,840 --> 01:51:24,519
Speaker 5: better than I would prove me wrong. I mean, look,

2518
01:51:25,240 --> 01:51:27,559
Speaker 5: you know, I think I think SpaceX, like Tesla, has

2519
01:51:27,720 --> 01:51:29,680
Speaker 5: the kernel of a real business there with the with

2520
01:51:29,720 --> 01:51:32,559
Speaker 5: the Falcon nine launch program, it's the most cost effective

2521
01:51:32,560 --> 01:51:35,600
Speaker 5: way to get into orbit. The basic critique that I have.

2522
01:51:35,680 --> 01:51:38,360
Speaker 5: And again, like you know, make the numbers public, I go.

2523
01:51:38,640 --> 01:51:40,360
Speaker 5: I hope they go public because we'll see the numbers.

2524
01:51:40,640 --> 01:51:43,200
Speaker 1: Actually, this is why I want to. I want Anthropic

2525
01:51:43,240 --> 01:51:45,400
Speaker 1: and open Ai to go public so bad. No to

2526
01:51:45,520 --> 01:51:47,559
Speaker 1: just find I mean, look, I just know, let me

2527
01:51:47,600 --> 01:51:50,640
Speaker 1: look onto the hood, let me let me see how

2528
01:51:50,720 --> 01:51:52,760
Speaker 1: much you're burning. Because I bet it's a lot. Well.

2529
01:51:52,800 --> 01:51:54,639
Speaker 1: I mean I was talking to you about this off

2530
01:51:54,760 --> 01:51:57,920
Speaker 1: off air, but there's two Chinese ai companies that go

2531
01:51:57,960 --> 01:52:01,479
Speaker 1: in public, Zoogi and Mini Mac. They called forget show

2532
01:52:01,560 --> 01:52:03,479
Speaker 1: someone on the man sa I'm wrong on that one,

2533
01:52:03,680 --> 01:52:06,040
Speaker 1: but they I think one of them makes like thirty

2534
01:52:06,040 --> 01:52:09,559
Speaker 1: five million dollars in revenue a month and spends two

2535
01:52:09,640 --> 01:52:13,040
Speaker 1: hundred billions or two hundred million even sorry, Yeah, and

2536
01:52:13,120 --> 01:52:15,559
Speaker 1: that you've got to spend money to lose money, I guess.

2537
01:52:15,760 --> 01:52:18,000
Speaker 1: But I think that you know what, if this is

2538
01:52:18,000 --> 01:52:20,200
Speaker 1: the year when we finally get some clarity over that,

2539
01:52:20,200 --> 01:52:21,080
Speaker 1: I'd be really happy.

2540
01:52:21,439 --> 01:52:23,639
Speaker 5: Well, and I mean just in terms of elon Musk,

2541
01:52:23,680 --> 01:52:28,040
Speaker 5: I mean like Xai burned what like fourteen billion thirteen billion, Yeah,

2542
01:52:28,040 --> 01:52:31,599
Speaker 5: and like he's made this whole his whole thing work

2543
01:52:31,680 --> 01:52:33,680
Speaker 5: for a long time by you know, he's really good

2544
01:52:33,680 --> 01:52:34,320
Speaker 5: at raising money.

2545
01:52:34,360 --> 01:52:38,679
Speaker 1: But then also today did they Yeah that's nice. Yeah.

2546
01:52:38,960 --> 01:52:43,640
Speaker 5: I think the level of burn has that that Xai itself,

2547
01:52:43,680 --> 01:52:49,800
Speaker 5: which has no profitable business to it, is like dramatically higher.

2548
01:52:49,840 --> 01:52:52,320
Speaker 5: Tesla has always lost or not always but almost always

2549
01:52:52,360 --> 01:52:54,719
Speaker 5: lost money. Yeah, but like they could mitigate that loss

2550
01:52:54,720 --> 01:52:56,240
Speaker 5: and they can kind of string it along and Goo

2551
01:52:56,280 --> 01:52:58,720
Speaker 5: a couple of years between raising rounds, but this is, yeah,

2552
01:52:58,760 --> 01:53:05,519
Speaker 5: ten plus billion dollars year. Elon's empire is really fragile

2553
01:53:05,720 --> 01:53:07,840
Speaker 5: even without that kind of cash burn. And so I

2554
01:53:07,840 --> 01:53:08,599
Speaker 5: think twenty twenty.

2555
01:53:08,400 --> 01:53:13,080
Speaker 1: Six, Yeah, they raised twenty billion dollars. Si Vela Equity

2556
01:53:13,120 --> 01:53:17,960
Speaker 1: Partners steps, Yeah, Fidelity, Fidelity Management fell through it again award,

2557
01:53:19,840 --> 01:53:24,000
Speaker 1: Qatar Investment Authority, MGX, and Barren Capitol Group among other

2558
01:53:24,080 --> 01:53:27,880
Speaker 1: key partners. Investors in the round include Nvidia and Cisco.

2559
01:53:28,520 --> 01:53:32,280
Speaker 1: We're doing the dot We're doing the dog coom boom again, folks.

2560
01:53:32,320 --> 01:53:33,759
Speaker 1: We love the dog coom boom.

2561
01:53:33,800 --> 01:53:36,040
Speaker 5: Okay, Well, so they gotta love raising money and then

2562
01:53:36,040 --> 01:53:37,280
Speaker 5: a couple of years of burn now and.

2563
01:53:37,280 --> 01:53:41,599
Speaker 1: Guess what do they maybe twenty billion dollars A Data

2564
01:53:41,640 --> 01:53:45,519
Speaker 1: Centers XI continues to expand its decisive compute advantage, world's

2565
01:53:45,560 --> 01:53:48,599
Speaker 1: largest day I super computers at Colossus one barely built

2566
01:53:48,720 --> 01:53:50,960
Speaker 1: and Colossus two not built at all, ending the year

2567
01:53:51,000 --> 01:53:53,639
Speaker 1: with over a one million, h one hundred GPU equivalents. Now,

2568
01:53:53,880 --> 01:53:55,720
Speaker 1: for the non technical audience, that's just a lot of

2569
01:53:55,760 --> 01:53:58,800
Speaker 1: GPUs so they can generate c SAM I guess, but

2570
01:53:58,920 --> 01:54:02,000
Speaker 1: my favorite part of this is rock Force series. Our

2571
01:54:02,040 --> 01:54:04,439
Speaker 1: frontier language models are built on the best in class

2572
01:54:04,439 --> 01:54:07,880
Speaker 1: training infrastructure powered by Colossus. They've pushed reinforcement learning training

2573
01:54:07,920 --> 01:54:12,559
Speaker 1: to unprecetated levels, refining Grock's intelligence reasoning. An agency using

2574
01:54:12,560 --> 01:54:14,920
Speaker 1: pre training scale compute, what do you train on? You've

2575
01:54:14,960 --> 01:54:16,280
Speaker 1: been trainerating child porn?

2576
01:54:17,280 --> 01:54:22,120
Speaker 5: I mean no, that's the But what's the product? What's

2577
01:54:22,120 --> 01:54:22,800
Speaker 5: the revenue?

2578
01:54:23,280 --> 01:54:25,680
Speaker 1: Oh? Sorry, they don't have that here. They don't have that.

2579
01:54:25,760 --> 01:54:28,920
Speaker 1: They will say that our reach spans approximately six hundred

2580
01:54:28,960 --> 01:54:31,799
Speaker 1: million monthly active users across the X and CROC apps.

2581
01:54:32,080 --> 01:54:33,320
Speaker 1: Bull fucking ship.

2582
01:54:33,360 --> 01:54:34,840
Speaker 5: Getting skills easy when it's free.

2583
01:54:34,960 --> 01:54:38,680
Speaker 1: Also, Twitter doesn't fucking gap that many users like I

2584
01:54:38,760 --> 01:54:41,040
Speaker 1: genuinely don't think they've they've done that.

2585
01:54:41,080 --> 01:54:42,840
Speaker 5: Are you suggesting that Elon must might be.

2586
01:54:42,920 --> 01:54:45,160
Speaker 1: Like I know ed, I know you're a big Elon

2587
01:54:45,240 --> 01:54:45,720
Speaker 1: Musk fan.

2588
01:54:45,840 --> 01:54:49,240
Speaker 5: I mean it's hurtful. It's hurtful to have his credibility questions.

2589
01:54:49,280 --> 01:54:53,040
Speaker 4: Yeah, charding a path that will spread the light of

2590
01:54:53,080 --> 01:54:59,360
Speaker 4: civilization on our planet. Yeah, I I wish the listener

2591
01:54:59,360 --> 01:55:01,120
Speaker 4: could see everyone face is what I said?

2592
01:55:01,160 --> 01:55:05,520
Speaker 1: That even a drink when you said that, it's I

2593
01:55:06,200 --> 01:55:08,600
Speaker 1: just feel like this is a year of reckonings. I

2594
01:55:08,640 --> 01:55:10,600
Speaker 1: think that that's the thing, because sure they built twenty

2595
01:55:10,600 --> 01:55:13,400
Speaker 1: billion dollars, but he needs to build fucking Colossus and

2596
01:55:13,440 --> 01:55:14,000
Speaker 1: Colausus too.

2597
01:55:14,040 --> 01:55:16,520
Speaker 4: I mean it goes to that or we're gonna get

2598
01:55:16,800 --> 01:55:20,240
Speaker 4: getting blitzed and in December being like it's all fucking fraud.

2599
01:55:21,400 --> 01:55:24,640
Speaker 1: But the thing is, as I've been saying, we're running

2600
01:55:24,640 --> 01:55:26,960
Speaker 1: out of money. Yeah, like we're running at twenty billion dollars.

2601
01:55:27,640 --> 01:55:29,440
Speaker 5: He wouldn't be talking about a SpaceX IPO if he

2602
01:55:29,480 --> 01:55:34,160
Speaker 5: wasn't desperately. Yeah, he's the value also, the thing that

2603
01:55:34,240 --> 01:55:36,720
Speaker 5: he dangles out in the deep future. And like the

2604
01:55:36,760 --> 01:55:39,400
Speaker 5: mart he said so many times, it's like a really

2605
01:55:39,440 --> 01:55:43,160
Speaker 5: important part of the fanboy orthodoxy that like the mission

2606
01:55:43,200 --> 01:55:46,200
Speaker 5: to Mars is so important that we cannot compromise it

2607
01:55:46,240 --> 01:55:49,600
Speaker 5: by allowing, you know, shareholder value.

2608
01:55:49,280 --> 01:55:50,880
Speaker 4: To become an issue.

2609
01:55:51,200 --> 01:55:53,000
Speaker 5: Yeah, and as long as Eland is the richest guy

2610
01:55:53,040 --> 01:55:55,720
Speaker 5: in the world. Like that was totally, Like that worked.

2611
01:55:56,240 --> 01:55:59,760
Speaker 5: The moment he started is fascinating because the vibe has

2612
01:55:59,760 --> 01:56:02,120
Speaker 5: been wrecked in the in the Tesla subreddits for like

2613
01:56:02,200 --> 01:56:05,400
Speaker 5: years now for a number of reasons. The SpaceX ones

2614
01:56:05,440 --> 01:56:08,240
Speaker 5: really fell this this last year, and the I p

2615
01:56:08,360 --> 01:56:10,520
Speaker 5: O they were. They were crumbling already, just the number

2616
01:56:10,560 --> 01:56:13,640
Speaker 5: of times Starship was exploding. Yeah, but the I p

2617
01:56:13,800 --> 01:56:16,880
Speaker 5: O news was the thing that really I saw these

2618
01:56:16,920 --> 01:56:20,080
Speaker 5: forums start to like actually melt down, because the whole

2619
01:56:20,120 --> 01:56:22,760
Speaker 5: point of all of this is now like Elon can't

2620
01:56:22,760 --> 01:56:25,120
Speaker 5: guarantee it, right, like if he turns space ex over

2621
01:56:25,200 --> 01:56:27,760
Speaker 5: to shareholders, there's no guarantee that the mission happens.

2622
01:56:28,000 --> 01:56:30,240
Speaker 4: I mean, because it was, I wonder how they react

2623
01:56:30,280 --> 01:56:33,800
Speaker 4: also because you know, didn't he said they weren't also

2624
01:56:33,880 --> 01:56:36,720
Speaker 4: doing this series he fund raising round. Yeah, he said,

2625
01:56:36,960 --> 01:56:39,560
Speaker 4: this isn't happening. But it's also an upside around. Now

2626
01:56:39,640 --> 01:56:42,320
Speaker 4: it's you know, it's even bigger than before. So I wonder,

2627
01:56:42,440 --> 01:56:43,040
Speaker 4: but it's that big.

2628
01:56:43,120 --> 01:56:45,440
Speaker 1: Nvidia DA sent a deal though the the SPV, but

2629
01:56:45,440 --> 01:56:48,040
Speaker 1: that was going to do a special purpose vehicle. We

2630
01:56:48,080 --> 01:56:50,360
Speaker 1: don't talk about that SPV ship.

2631
01:56:50,200 --> 01:56:52,400
Speaker 4: Talk about previous deal. You don't need to.

2632
01:56:52,760 --> 01:56:53,640
Speaker 2: Valor the value.

2633
01:56:53,680 --> 01:56:55,960
Speaker 1: The value Yeah it was No, it's the twenty billion

2634
01:56:56,000 --> 01:56:57,480
Speaker 1: dollar two billion from Nvidia.

2635
01:56:57,880 --> 01:57:00,360
Speaker 5: Yeah, valor was the middleman or they're doing the least

2636
01:57:00,360 --> 01:57:03,200
Speaker 5: back or something. But it's all private, so you don't.

2637
01:57:02,960 --> 01:57:04,800
Speaker 1: Know, like, yeah, but they they did it close.

2638
01:57:05,360 --> 01:57:06,080
Speaker 5: I I think so.

2639
01:57:06,360 --> 01:57:09,840
Speaker 1: Yeah, but that's the thing like this or just getting

2640
01:57:09,880 --> 01:57:12,680
Speaker 1: back into my regular bullshit. There's a eight billion dollar

2641
01:57:12,800 --> 01:57:14,920
Speaker 1: deal the Oracle has been talking about doing for months

2642
01:57:14,960 --> 01:57:17,240
Speaker 1: that's disappeared off the thing. I just think the banks

2643
01:57:17,280 --> 01:57:18,160
Speaker 1: are running out of money.

2644
01:57:18,200 --> 01:57:21,240
Speaker 4: It's so sick also that that deal was talked about

2645
01:57:21,240 --> 01:57:23,160
Speaker 4: so loudly. It's like, this is going to be a

2646
01:57:23,200 --> 01:57:27,800
Speaker 4: cornerstone of the coming overbuild for Compute. This allow us

2647
01:57:27,880 --> 01:57:29,640
Speaker 4: to be able to put ourselves in the lead and

2648
01:57:29,680 --> 01:57:31,400
Speaker 4: ahead of any other competitor.

2649
01:57:31,520 --> 01:57:34,360
Speaker 5: When I remember people from from banks saying after the

2650
01:57:34,400 --> 01:57:38,240
Speaker 5: Twitter deal that like that dead debt that they weren't

2651
01:57:38,240 --> 01:57:39,960
Speaker 5: able to get off the books was really starting to

2652
01:57:39,960 --> 01:57:42,240
Speaker 5: impact their ability to fund like like new deals, and

2653
01:57:42,520 --> 01:57:44,760
Speaker 5: it was really starting to sound like the especially with

2654
01:57:44,800 --> 01:57:47,040
Speaker 5: banks that have been historically very close. I won't name

2655
01:57:47,040 --> 01:57:50,520
Speaker 5: any names, but but with Elon, it sounded like the

2656
01:57:51,000 --> 01:57:54,960
Speaker 5: magic was was sort of over. But it seems like they're, yeah, there's.

2657
01:57:54,760 --> 01:57:59,120
Speaker 1: Still it's stay a cent as bullshit like it really,

2658
01:57:59,200 --> 01:58:02,560
Speaker 1: it's just the everyone's so Google for data centers these

2659
01:58:02,640 --> 01:58:04,680
Speaker 1: days that they're just like, what if he builds more.

2660
01:58:05,680 --> 01:58:08,080
Speaker 1: It's also so funny to close this the same week

2661
01:58:08,080 --> 01:58:11,480
Speaker 1: as the fucking see Sam thing. You're like, like, I

2662
01:58:11,520 --> 01:58:14,640
Speaker 1: don't know if I'm a business journalist, I have any

2663
01:58:14,720 --> 01:58:19,640
Speaker 1: chance fasking anything. I'm like, hey, Fidelity, are you investing

2664
01:58:20,440 --> 01:58:23,800
Speaker 1: in the data centers or the child born? Because that's

2665
01:58:23,800 --> 01:58:26,240
Speaker 1: the thing. It's like, I'm not even being like, I'm

2666
01:58:26,280 --> 01:58:29,080
Speaker 1: not trying to be crash. It's a fucking question. Like

2667
01:58:29,520 --> 01:58:31,600
Speaker 1: Bryce Elder Legend from the Ft did a great piece

2668
01:58:31,640 --> 01:58:35,680
Speaker 1: today where it's like, oh, it's like the pornography generator

2669
01:58:35,920 --> 01:58:38,320
Speaker 1: connects to a social network and it was just a

2670
01:58:38,400 --> 01:58:41,800
Speaker 1: list of all the staff at X but with clown makeup.

2671
01:58:41,840 --> 01:58:43,040
Speaker 7: On FT.

2672
01:58:43,400 --> 01:58:48,160
Speaker 1: Drice Elder Alphavil legends. No, it's it's very funny watching this,

2673
01:58:48,320 --> 01:58:52,120
Speaker 1: and he doesn't usually do anything at CS. I wish

2674
01:58:52,120 --> 01:58:54,640
Speaker 1: he never. I wish he did. I wish the big

2675
01:58:54,680 --> 01:58:56,880
Speaker 1: companies would fuck this place up a little bit more,

2676
01:58:56,920 --> 01:58:58,160
Speaker 1: just to make it more chaotic.

2677
01:58:58,320 --> 01:59:01,600
Speaker 4: Listen one year you to notice that there's gonna be

2678
01:59:01,600 --> 01:59:05,600
Speaker 4: a South Africa section and you're gonna see all your

2679
01:59:05,600 --> 01:59:09,120
Speaker 4: fa all the stars, Peter thel all the all the

2680
01:59:09,160 --> 01:59:13,160
Speaker 4: famous South Africa Mark Andresen is not South Africa, all right,

2681
01:59:13,200 --> 01:59:16,400
Speaker 4: It's it's the other motherfucker that I Oh, my god,

2682
01:59:16,440 --> 01:59:20,200
Speaker 4: the other bold motherfucker always forget his name will come

2683
01:59:20,240 --> 01:59:20,440
Speaker 4: to me.

2684
01:59:20,520 --> 01:59:23,520
Speaker 1: I'm sure. I'm sure the listeners can fill in the gaps.

2685
01:59:23,640 --> 01:59:25,240
Speaker 1: Grumple Shieldtz, that's his name.

2686
01:59:25,600 --> 01:59:27,680
Speaker 4: I'm calling him that, but I'm gonna look him up.

2687
01:59:27,680 --> 01:59:27,800
Speaker 1: Now.

2688
01:59:27,800 --> 01:59:29,120
Speaker 4: It's gonna bother me, all right.

2689
01:59:29,640 --> 01:59:31,520
Speaker 1: I think we're gonna wrap it there though. Now we've

2690
01:59:31,560 --> 01:59:34,040
Speaker 1: talked about Elon Musk a little bit. This has been

2691
01:59:34,080 --> 01:59:37,240
Speaker 1: such a lovely episode. Thank you all for listening. Edon

2692
01:59:37,280 --> 01:59:40,600
Speaker 1: Graso Junior of the Tech Bubble Newsletter, Edniamyer of the

2693
01:59:40,640 --> 01:59:44,360
Speaker 1: Autono Cast, and of course Henry Casey of CNN Underscored

2694
01:59:44,440 --> 01:59:47,640
Speaker 1: And as ever, please donate to the Pediatric Epilepsy Research

2695
01:59:47,640 --> 01:59:50,280
Speaker 1: Consortium in honor of Sean Paul Adams, who is a

2696
01:59:50,280 --> 01:59:52,960
Speaker 1: wonderful friend of the Sweet Shawan Paul's son is epileptic,

2697
01:59:53,000 --> 01:59:55,200
Speaker 1: and his founder deeply appreciate it. Thanks so much for

2698
01:59:55,200 --> 01:59:57,959
Speaker 1: everyone for listening. We will be back in a few hours.

2699
02:00:06,320 --> 02:00:08,760
Speaker 1: Thank you for listening to Better Offline. The editor and

2700
02:00:08,800 --> 02:00:11,960
Speaker 1: composer of the Better Offline theme song is Matasowski. You

2701
02:00:11,960 --> 02:00:14,200
Speaker 1: can check out more of his music and audio projects

2702
02:00:14,360 --> 02:00:17,880
Speaker 1: at Matasowski dot com, M A T T O S

2703
02:00:17,960 --> 02:00:22,040
Speaker 1: O W s ki dot com. You can email me

2704
02:00:22,080 --> 02:00:24,680
Speaker 1: at easy at better offline dot com or visit better

2705
02:00:24,680 --> 02:00:26,880
Speaker 1: offline dot com to find more podcast links and of

2706
02:00:26,920 --> 02:00:30,000
Speaker 1: course my newsletter. I also really recommend you go to

2707
02:00:30,080 --> 02:00:32,600
Speaker 1: chat dot Where's youreed dot at to visit the discord,

2708
02:00:32,840 --> 02:00:35,160
Speaker 1: and go to our slash Better Offline to check out

2709
02:00:35,160 --> 02:00:37,839
Speaker 1: our reddit. Thank you so much for listening.

2710
02:00:38,680 --> 02:00:41,360
Speaker 8: Better Offline is a production of cool Zone Media. For

2711
02:00:41,480 --> 02:00:44,640
Speaker 8: more from cool Zone Media, visit our website cool Zonemedia

2712
02:00:44,720 --> 02:00:47,560
Speaker 8: dot com, or check us out on the iHeartRadio app,

2713
02:00:47,600 --> 02:00:50,280
Speaker 8: Apple Podcasts or wherever you get your podcasts.

2714
02:01:02,960 --> 02:01:06,680
Speaker 2: Film school