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Speaker 1: Also media.

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Speaker 2: On April twenty fifth, nineteen eighty six, a disaster happen.

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Speaker 1: I was born.

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Speaker 2: What Welcome to better Off Lying, I'm your host ed Zititron.

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Speaker 2: We have an incredible block to begin this with. I'm

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Speaker 2: joined by Divindra, Hardwareven Gadget.

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Speaker 3: Hello.

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Speaker 2: Hello, I'm gonna going fantastically now victorious song from the Verge.

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Speaker 1: How you doing, I'm so tired we are.

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Speaker 2: Now I'm manager, I'm just the power of Christ, not really.

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Speaker 2: Edwin Graso Junior tomorrow. Hey doo ed doing pretty good?

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Speaker 3: Pretty good.

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Speaker 2: So you're fresh back from the convention floor, right, Yeah.

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Speaker 4: After thinking I lost my passport there, which is so amazing.

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Speaker 3: Yeah, I found it. Well, then you'll be just trapped

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Speaker 3: here forever. I just everyone's streaming.

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Speaker 2: Yeah. I did not want to say this to you,

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Speaker 2: but that is actually a Cees right of passage of

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Speaker 2: the people that like I know, at least I think

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Speaker 2: like five people I know of like I lost my

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Speaker 2: entire wallet in the LVC.

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Speaker 5: They didn't lose it in the LVCC, but one of

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Speaker 5: the first Cees's I ever went to, I had a

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Speaker 5: connecting flight back through Minnesota. There was a snowstorm I

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Speaker 5: was stuck there for an extra day while begging every

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Speaker 5: single airline counter to like put me on a flight out.

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Speaker 5: I lost my wallet. Oh there, So like my company

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Speaker 5: put me up with an extra hotel. I get to

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Speaker 5: the hotel and they're like, you kind of need ID

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Speaker 5: to check in. I was like, I don't know how

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Speaker 5: to tell you. I just lost my wallet at the airport.

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Speaker 5: And so they're very nice in Minnesota, so they just

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Speaker 5: let me stay. The next morning, I get up early,

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Speaker 5: and you can fly without ID. Domestically, you just have

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Speaker 5: to like.

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Speaker 1: Go really just do like a credit check.

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Speaker 5: You have to do go really early though, because they

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Speaker 5: do check everything you own with great companies.

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Speaker 2: Oh no, I know, because the last time I did it,

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Speaker 2: there was like what car do you have?

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Speaker 5: Like the lady was going through my dirty underwear and

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Speaker 5: that was my biggest nightmare. But you know, on the

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Speaker 5: way to the airport, I had left a review unit

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Speaker 5: laptop in the hotel rooms. I had to go back,

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Speaker 5: and then on the way back from going back, the

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Speaker 5: uber blew attire because it was so cool, Oh, oh

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Speaker 5: my god, it was so stressful.

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Speaker 1: And I was like, oh my god, this is the

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Speaker 1: worst light of my life.

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Speaker 5: I got home, it was like forty eight hours after

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Speaker 5: I was supposed to you. And then two weeks later,

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Speaker 5: the very nice people in Minnesota, the Lost and Found

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Speaker 5: at the airport sent me back my wallet after I'd

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Speaker 5: canceled every single card I owned.

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Speaker 1: So that's such a lovely story.

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Speaker 2: So, talking of finding things you don't want, what is

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Speaker 2: your experience being as the pre eminent.

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Speaker 1: Wearbrales report, Oh thank you?

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Speaker 2: What have you seen that's crap or interesting or funny

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Speaker 2: or good?

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Speaker 1: Oh?

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Speaker 5: You know, I wish I remembered all the crap that

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Speaker 5: I saw, but I feel like I just jetted sent

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Speaker 5: it front my head unless it's like super egregious. Oh wait, no,

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Speaker 5: I remember now I'll call it. I wouldn't call it crap.

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Speaker 5: I would just call it ridiculous, if that makes sense.

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Speaker 2: Sick.

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Speaker 5: It's ther human rare. The ultra human the name says

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Speaker 5: the ultra Human Ring Air is actually a smart ring

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Speaker 5: that I enjoy quite a bit. I did this thing

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Speaker 5: over the summer where I wore six smart rings at

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Speaker 5: wants to determine who is going to be the one

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Speaker 5: ring to rule them all right? That one came in second,

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Speaker 5: so I found it quite good and at cees. They're like,

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Speaker 5: but what if late stage capitalism? Okay, Okay, So they

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Speaker 5: made the rare, which is like there's it's a desert

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Speaker 5: themed collection of luxury smart rings, and there's Desert Rose Cute,

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Speaker 5: the Stink Song Dune, and.

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Speaker 1: Then Desert Snow.

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Speaker 5: Rose gold, gold and silver. Basically, the rose gold and

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Speaker 5: gold are made out of eighteen carrot gold. The silver

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Speaker 5: quote unquote is PT nine to fifty platinum. Guess how

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Speaker 5: much they cost?

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Speaker 1: How much?

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Speaker 5: So the gold are nineteen hundred each, like converted from

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Speaker 5: British pounds, the platinum is twenty two hundred.

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Speaker 2: Great.

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Speaker 5: I saw them on the floor and I was like,

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Speaker 5: I have six thousand dollars worth of smart rings on

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Speaker 5: my hand. I took a photo posted it online and

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Speaker 5: everyone was like no, and everyone was just like, you

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Speaker 5: know what though, your nails look better, and I was like,

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Speaker 5: these are ten dollars press ons, so nice try. You know,

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Speaker 5: it just goes to show you money isn't necessarily what

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Speaker 5: catches there.

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Speaker 2: So they were expensive because of the metals. They were

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Speaker 2: expensive because of three hundred dollars worth of at.

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Speaker 5: Most, So like the actual ring textpecs all the same,

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Speaker 5: So the actual ring is three hundred and fifty dollars,

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Speaker 5: so we're talking five to six times the price. And

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Speaker 5: I'm like, you know, I was talking to the guy

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Speaker 5: and I was I was saying, you know, tech becomes

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Speaker 5: obsolete so quickly. The battery is gonna die in like

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Speaker 5: three years.

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Speaker 2: My rings already dying.

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Speaker 5: Yeah, and you know rings that are actual gold, Like

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Speaker 5: people don't blink spending that much money on real gold,

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Speaker 5: high quality jewelry. But you get to keep those forever.

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Speaker 5: Those are heirlooms. You can pass them down. So like,

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Speaker 5: how do you reconcile that he And he was like, well,

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Speaker 5: there will be an upgrade path that we're working on

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Speaker 5: to guarantee the value of the metals.

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Speaker 3: Like a skilled tree.

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Speaker 5: And then also just like maybe we'll like I think

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Speaker 5: they're working on a way to try and swap out

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Speaker 5: the tech portion so that you can keep the metal.

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Speaker 2: And I was like, I gotta work that one out first.

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Speaker 1: Big if true, Big, if true?

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Speaker 3: This is the only way to get people into smart

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Speaker 3: rings is to just construct artificial scarcity. That's the only thing.

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Speaker 3: And I know, Victoria, you've covered this stuff a lot.

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Speaker 3: I firmly believe that that whole category is bullshit, Like

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Speaker 3: just I say that wearing one, yeah, I mean I.

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Speaker 5: Respectfully, it is very popular among women or as I'm

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Speaker 5: sure demographic is now majority of women instead of men.

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Speaker 5: And it's because they don't want to wear the swarm watches.

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Speaker 2: This is the thing that story is not well told

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Speaker 2: in the media. I'm not saying is it any failure,

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Speaker 2: but this is and this is actually a failing of

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Speaker 2: better off line. As you literally just heard are preconception

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Speaker 2: that we had as guys, which is just and even

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Speaker 2: my experience of using AURA, the question is what is

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Speaker 2: it that attracts them? Is it? Is it the data

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Speaker 2: is more useful for women are more connected with those problems.

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Speaker 5: In some respects because they do have pregnancy. They have

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Speaker 5: been putting so much effort into pregnancy research over the

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Speaker 5: last few years. They found that they could actually they

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Speaker 5: did a clinical study. So it's clinical, it's not it's

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Speaker 5: not it's a real that's what I mean. It's a

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Speaker 5: real clinical one. It's not a white paper, which is

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Speaker 5: what I see a lot in my field.

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Speaker 2: And one is the difference that just for this white.

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Speaker 5: Paper is like a book report by a company saying

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Speaker 5: we did our own internal research a clinical study or

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Speaker 5: a clinical paper is something that they've done that they've

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Speaker 5: published that they've paid the money to get published in

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Speaker 5: an academic journal or peer review journal, and those can

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Speaker 5: cost That cost can be sometimes up to twenty five

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Speaker 5: thousand dollars for that review. I mean, there's so many

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Speaker 5: of them. But yes, actually it was. And they're working

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Speaker 5: with actual researchers from universities such kind of that sort

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Speaker 5: of stuff, and they continuously do it. They have a

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Speaker 5: long dedication to it. So like they found that they

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Speaker 5: can find temperature predictions with pregnancy detection, and they haven't

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Speaker 5: necessarily done anything with that, but they're saying it's possible.

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Speaker 5: And they've also partnered with Natural Cycles. So for what

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Speaker 5: Natural Cycles is, You're gonna enjoy this. It's an FBA

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Speaker 5: cleared birth control app. Okay, Yeah, So I could go

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Speaker 5: off about that forever. The controversy with that, there has

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Speaker 5: been controversies that that.

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Speaker 3: So there's a.

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Speaker 5: Long story, but the point being is that a lot

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Speaker 5: of people or a lot of women have fertility issues. Right,

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Speaker 5: this is something that is discreet that they can wear

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Speaker 5: that integrates with other stuff that has like clinical backing.

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Speaker 5: Because a lot of people use basal body temperatures to

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Speaker 5: try and track their fertility. But that's so difficult to

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Speaker 5: do accurately because you have to do it first thing

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Speaker 5: in the morning, when you wake up, you cannot drink

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Speaker 5: and cannot get out of wat you can sleep with these,

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Speaker 5: it's much more so for a lot of women. There

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Speaker 5: is a benefit to that. It is, you know, a

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Speaker 5: lot of women I know are just like, Okay, I

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Speaker 5: have a bunch of rings on my hand. There are

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Speaker 5: some that are thin and stylish, which I quite like,

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Speaker 5: and then there's these honking smart rings. So you know,

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Speaker 5: that's not for everyone necessarily, but it is discrete compared

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Speaker 5: to I don't know, an Apple watch. A lot of

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Speaker 5: women find Apple watches. Sleeping with those is difficult, and

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Speaker 5: sleeping with them is difficult.

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Speaker 3: You're totally difficult. I understand the like functional and useful

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Speaker 3: aspect of a smart ring for women that like that

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Speaker 3: totally makes sense. I think overall that market though, if

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Speaker 3: you're not always looking for the temperature market, it's it's

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Speaker 3: so niche.

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Speaker 5: It's not like it's not like your first I always

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Speaker 5: say that a smart ring is better with a smart watch,

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Speaker 5: so it's kind.

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Speaker 2: Of a problem as well. Like it is this and

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Speaker 2: also they're very annoying. The very I wanted the next

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Speaker 2: aura because I really like my sleep tracking, other than

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Speaker 2: the fact that the charging cycle lost like a day

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Speaker 2: and a half the best and then it screams at

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Speaker 2: me like an angry cat.

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Speaker 1: But it's three hundred dollars.

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Speaker 2: And the next one I was like, oh, I might

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Speaker 2: get it like a Christmas present for myself, and it's

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Speaker 2: like no, no, no, ma, I don't just try and

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Speaker 2: fucking buy this, man, You've got to remeasure your fingers.

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Speaker 5: What I can actually tell you why, oh thank you.

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Speaker 5: They changed the saint changed the sensor, right, so I

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Speaker 5: have the four on me right now. If you look

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Speaker 5: at yours and you take yours off, you have the

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Speaker 5: bumps right.

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Speaker 2: Yeah, this says no bumps, bumpless.

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Speaker 5: It's bumpless. They've changed the sensors and the arrays on that,

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Speaker 5: so that has affected the sizing quite a bit.

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Speaker 2: Still annoying.

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Speaker 5: So I went from an eight to one nine that

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Speaker 5: that is the case, but the battery lasts a lot longer.

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Speaker 5: So with this PO two tracking those last like tracking

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Speaker 5: blood oxygen, thank you, So like with that tracking that

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Speaker 5: last maybe two three days, I found it really annoying.

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Speaker 2: This is seven that's not bad. Yeah, this is still niche, though.

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Speaker 5: It's still very niche. It's still very niche. But I

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Speaker 5: will say at the live Verge Cask recording that we

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Speaker 5: did last night, when we were meeting readers, I had

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Speaker 5: so many come up to me and they're like, look

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Speaker 5: at my order ring. I bought it because of you.

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Speaker 5: And I was like, I never tell people to buy yeah,

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Speaker 5: but they're.

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Speaker 1: Like, look, look look I bought it.

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Speaker 5: And I was like, oh, yeah, congratulations, you're.

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Speaker 4: Someone so you know, like me, I've never I've never

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Speaker 4: used these wearables. You know, what is the value proposition

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Speaker 4: for someone who is not already in the Marketer ecosystem

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Speaker 4: using it for one of the use cases you've kind

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Speaker 4: of laid out, you know.

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Speaker 5: Usually, so the killer quote unquote the killer app for

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Speaker 5: wearables is health. For there are so many different kinds

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Speaker 5: of wearables, but the one that people most resonate with

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Speaker 5: now is health. And usually like they get into it

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Speaker 5: because they want to change something or they've had like

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Speaker 5: a health scare, so oh, like I don't sleep well

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Speaker 5: and that my doctor says I have sleep appneyet oh,

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Speaker 5: I should track this sort of thing, or oh, my

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Speaker 5: parents just had like a cardio respiratory issue, I'm going

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Speaker 5: to buy them an Apple Watch. Actually, the scenario I

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Speaker 5: get asked most often is like, my parent had health scare,

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Speaker 5: What Apple Watch do I buy? So it has a

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Speaker 5: lot of different purposes, like.

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Speaker 2: What health scares is actually help? Is it just folds?

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Speaker 2: Do they do more falls?

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Speaker 5: If you have abnormal heart rate? Like if you're at

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Speaker 5: rest and your heart rate normally dips too low or

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Speaker 5: too high, it'll alert you and be like this is

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Speaker 5: kind of messed up. And there are many stories of

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Speaker 5: people who have gone to the hospital have their live

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Speaker 5: saved because.

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Speaker 3: Yeah, and the idea of having Apple Watch with built

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Speaker 3: in cellular two and then you're all on the Apple

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Speaker 3: family plan and like your parent could call you and

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Speaker 3: say hey, I fallen or something, or they get immediate

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Speaker 3: emergency help, whereas their phone could be in another room. Right,

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Speaker 3: all those uses seem pretty useful.

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Speaker 2: Yeah, it's just what ED is asking. Here is a

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Speaker 2: question I think many people ask about wearables. And I know,

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Speaker 2: basically we spent most of the show just being like

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Speaker 2: crapping on everything, But I like my orr A ring

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Speaker 2: when it fucking works and you know what is that

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Speaker 2: not the tech industry right now, but what Ed's asking

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Speaker 2: is like something they've kind of failed at Victoria. I

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Speaker 2: know you might not like the idea that you've effectively

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Speaker 2: sold an order ring by proxy, but someone probably read

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Speaker 2: the thing and when, oh, this actually explains what it

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Speaker 2: does in a way that doesn't make sense to me.

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Speaker 3: Can I want to use it for that? Yes?

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Speaker 2: Yeah, this has a use case of.

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Speaker 3: So very specific use case. I may be an unpopular thing.

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Speaker 3: Does anybody remember the job own up I was carrying

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Speaker 3: back that forum of fact was just you were you

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Speaker 3: were definitely you were in pr at that point.

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Speaker 5: But that was on the screenless fitness track and I

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Speaker 5: hear that, yeah, yeah, I hear that quite a lot

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Speaker 5: from different people who were just like.

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Speaker 1: I don't like the smart watch.

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Speaker 3: It was thin, it was really light, but they couldn't

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Speaker 3: get the h the engineering right.

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Speaker 2: Because kind of crap a building stuff sometimes.

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Speaker 3: Well their speakers were great, yeah, but they up destroyed

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Speaker 3: them because the because it was a flexible bracelet.

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Speaker 2: It feels like a more challenging product.

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Speaker 3: It was really hard to build them. They kind of

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Speaker 3: bet the whole company on it all fell apart. So

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Speaker 3: you do you have any wearables, Divendra. I have an

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Speaker 3: Apple Watch, and I always forget to wear it, so

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Speaker 3: that's the thing. But I love the idea of an

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Speaker 3: Apple watch. And certainly I'm thinking about my parents. I'm

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Speaker 3: thinking about my daughter to who's six years old now,

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Speaker 3: and parents have to think that devices for your kids.

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Speaker 3: I don't I don't want to put a tracker on her.

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Speaker 5: But you don't want to give her a phone want

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Speaker 5: to lose.

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Speaker 3: And also like if she's off somewhere doing activity, she

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Speaker 3: misses the bus or something. I would love an emergency

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Speaker 3: way for me to when in a couple of years,

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Speaker 3: not at six, but at eight to ten. Yeah, be

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Speaker 3: able to call me, be able to call for help

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Speaker 3: something even just hit a button, or to see where

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Speaker 3: they are on GPS if they're on like a school

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Speaker 3: trip or something, because there are trips where kids get

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Speaker 3: left behind. So you know, not surely not like the

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Speaker 3: most important thing in the world, but it is something

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Speaker 3: I think about, and certainly apparently it's two. Yeah, a

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Speaker 3: connected device that can instantly help them or get them

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Speaker 3: to emergency help like that seems super valuable.

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Speaker 2: I kind of want to put one on my mom.

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Speaker 2: There you go, No, she's totally fine. She's doing well.

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Speaker 2: She just forever does not pick up her phone. So

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Speaker 2: it'd just be nice to know that too. My mom

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Speaker 2: would probably not hear this, but I'm sorry mom in

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Speaker 2: advance if you do so.

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Speaker 1: Devandra changing gears slightly?

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Speaker 3: Sure?

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Speaker 2: Have you seen anything exciting on the show for anything?

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Speaker 2: Really been reving your engine?

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Speaker 3: Revving my engine. I spend a lot of time within

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Speaker 3: the video, and I know you guys have been talking

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Speaker 3: about in the video by all means, yah, I do

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Speaker 3: think it is interesting watching in videous transformation to this

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Speaker 3: sort of like AI Superpower Company. But I also feel

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Speaker 3: like you know, I've been covering in video for a while.

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Speaker 3: I've covering Jensen Wong for a while. Did you guys

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Speaker 3: see that CES keynote?

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Speaker 2: I didn't see the keynote and just not it was

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Speaker 2: not good for him. When you say you've been covering

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Speaker 2: them for a while, yeah, how long?

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Speaker 3: I don't know, twenty ten, like pretty much since I

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Speaker 3: started doing tech stuff.

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Speaker 2: Thank you. I knew that was the case. But for

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Speaker 2: listeners this is important. A lot of the people not

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Speaker 2: Max Journey, he's a dog, but a lot of people

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Speaker 2: talking about Nvidia now have recently started, yeah, writing, and they.

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Speaker 3: Say the video And when you say that, I know

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Speaker 3: you're opposed.

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Speaker 1: People say the video.

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Speaker 3: People say Gary Shapiro said the video on stage, Jensen Hoong, so.

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Speaker 2: Didn't he yell as well?

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Speaker 3: That was there for that too the way I think,

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Speaker 3: I think Jensen's going through some stuff.

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Speaker 2: So why was it bad for Jensen?

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Speaker 3: Bad for Jensen? Because that was like a two hour

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Speaker 3: long keynote where the thing everybody was there filling that auditorium.

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Speaker 3: They just want to hear about the video cards, give

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Speaker 3: me the new RTX fifty ninety or some shit, and

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Speaker 3: he's been maybe five or ten minutes talking about those things.

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Speaker 3: The rest of it was on their robotics AI virtualized

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Speaker 3: training operations, and nobody gave a ship. Like every It

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Speaker 3: was like a comedian watching every single joke fall flat,

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Speaker 3: and you could tell on stage that it was kind

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Speaker 3: of affecting.

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Speaker 1: He's trying.

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Speaker 4: Also what they're they're real, they're real or industrial metavers

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Speaker 4: that they're trying to construct this world which everything versus

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Speaker 4: the omniverse. Plus in video Cosmos, it's a whole Cosmo Cosmo.

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Speaker 4: So omniverse is this sort of like simplistic view of

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Speaker 4: a three D environment that you could use to train

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Speaker 4: a robot or something. Cosmos is a real almost looks

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Speaker 4: like a real world version of that environment, so like

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Speaker 4: a photorealistic environment, and the idea these are interesting. How

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Speaker 4: would you train a robot with a decent amount of

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Speaker 4: artificial intelligence to perform certain tasks in a black mirrorst way?

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Speaker 1: This is actually describing saying it for many reasons.

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Speaker 3: So it's black mirror. You have them through that simulation

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Speaker 3: over and over, get better at it, and that's the

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Speaker 3: whole thing. Really interesting pitch, maybe not for the CS audience,

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Speaker 3: and that's kind of that kind of affected him. And

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Speaker 3: then yeah, the next morning there was a press Q

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Speaker 3: and A where people were asking questions, but he also

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Speaker 3: seemed really uncomfortable and also like, yeah, he was really

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Speaker 3: picking on the sound guy that poor Q and A

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Speaker 3: because he was like, the speakers are pointing at me

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Speaker 3: and making it hard for me to hear. We're all like, no, Jensen,

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Speaker 3: you're hearing reflections with the speakers on the wall that

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Speaker 3: are coming to the audience. He was like, no, I know,

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Speaker 3: it was a weird.

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Speaker 2: Thing, man, It is such a penis.

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Speaker 3: But I think he's just like he admitted in that

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Speaker 3: Q and A that he did a bad job at

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Speaker 3: the keynote.

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Speaker 1: He was like, I failed to stors love to hear.

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Speaker 3: Yeah, that's what you want to hear.

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Speaker 2: That's what you wake up thinking about.

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Speaker 3: I don't feel I mean, dude due to a multi billionaire.

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00:16:43,280 --> 00:16:45,440
Speaker 2: Now yeah, oh I feel I'm laughing at his pain.

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00:16:45,560 --> 00:16:48,520
Speaker 3: He's dealing situation stuff. But yeah, the in video stuff

387
00:16:48,520 --> 00:16:51,200
Speaker 3: is interesting. The video cards are interesting because they're leaning

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Speaker 3: more in AI.

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Speaker 2: So tell me about with the video cards. So the

390
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Speaker 2: lower end one is meant to be the equivalent of

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Speaker 2: the forty ninety.

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Speaker 1: I want to say.

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Speaker 2: This is where it gets confusing because they using DLSS.

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Speaker 2: They're using DLSS, so you explain that for US AI upscaling.

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Speaker 2: So these new cards have DSS four, which have AI

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Speaker 2: upscaling to basically smooth out frame rates so they can

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Speaker 2: generate for every single real frame that video card renders,

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Speaker 2: it can generate three artificial frames, which kind of smooth

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Speaker 2: out gameplay. So if you have a really fast monitor,

400
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Speaker 2: it'll look a little better. They can say the FPS

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Speaker 2: is higher because this DLSS will autogenerately generate free ones.

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00:17:28,280 --> 00:17:30,119
Speaker 3: Yeah, and then you can go back to the last car,

403
00:17:30,200 --> 00:17:32,199
Speaker 3: the forty ninety, and be like, well, this is not

404
00:17:32,280 --> 00:17:34,800
Speaker 3: generating as many frames that one could generate one frame

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Speaker 3: per every real frame. So the number they can they

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Speaker 3: can say the number is right. But if you turned

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Speaker 3: off the LSS and you just looked at pure gaming

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00:17:42,240 --> 00:17:45,720
Speaker 3: performance without any of the AI stuff, certainly like the forty,

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Speaker 3: the fifty seventy would not be as fast as the

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Speaker 3: forty ninety. So they're picking and choosing more marketing for

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Speaker 3: the gens. They've always done this, but yeah, you're choosing

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Speaker 3: which benchmarks they're talking about.

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Speaker 2: So, and just before we get off the subject, so

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Speaker 2: in Vidio you've been covering since twenty ten, pulling these

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00:18:00,640 --> 00:18:02,840
Speaker 2: games for a while, but they always have dumb, puffed.

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Speaker 3: Up marketing they have. But also the thing is like,

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Speaker 3: what's change? Then they do succeed, like some things do

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Speaker 3: work the LSS. When they first talked about it, even

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00:18:10,040 --> 00:18:13,000
Speaker 3: Jensen admitted he said nobody believed him that this idea

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Speaker 3: of using AI to upscale a lower resolution to a

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00:18:15,600 --> 00:18:18,960
Speaker 3: higher resolution on a monitor gives you less like processing

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00:18:19,000 --> 00:18:21,280
Speaker 3: power on the cards, so it gets you higher frame rates.

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Speaker 3: Nobody believed that would work, but it turned out it

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Speaker 3: worked pretty well. There were some issues, and they got

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00:18:25,600 --> 00:18:28,280
Speaker 3: better and better and better at it, and he said, basically,

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Speaker 3: for the past six years, there's like a supercomputer at

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00:18:31,000 --> 00:18:34,800
Speaker 3: in video servers that's just been crunching the LSS algorithms

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00:18:34,560 --> 00:18:37,560
Speaker 3: to like sort of make that thing better. So that

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00:18:37,680 --> 00:18:39,439
Speaker 3: is a real thing. But I think he tends to

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Speaker 3: overstate how good it is at times. It's a weird

431
00:18:43,359 --> 00:18:45,679
Speaker 3: thing because I think he's full of a lot of bluster,

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00:18:45,840 --> 00:18:49,520
Speaker 3: you know, But the actual the results, the products are good,

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Speaker 3: certainly compared to AMD's video cards and all that stuff.

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Speaker 2: Yeah, so Victoria returning to you, anything good, I know,

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00:18:57,440 --> 00:19:00,320
Speaker 2: good stuff, like, Okay, what's actually been exciting? What's this

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00:19:00,359 --> 00:19:03,159
Speaker 2: question with some alum because most people have had nothing?

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Speaker 5: So I actually so my favorite thing on the show.

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00:19:06,280 --> 00:19:10,560
Speaker 5: It's it's kind of girly, but it's Laorel sell bioprint.

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00:19:10,880 --> 00:19:11,200
Speaker 2: Okay.

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00:19:11,240 --> 00:19:14,560
Speaker 5: It is a it's meant for something like a dermatologist

441
00:19:14,640 --> 00:19:19,600
Speaker 5: or an esthetician's office, and it is a machine. Basically,

442
00:19:19,640 --> 00:19:22,600
Speaker 5: you take these skin strips and you take a sample

443
00:19:22,600 --> 00:19:25,399
Speaker 5: from your skin, you put it in a chemical buffer solution,

444
00:19:25,560 --> 00:19:27,840
Speaker 5: you stick that on a cartridge, and then that cartridge

445
00:19:27,920 --> 00:19:31,800
Speaker 5: is stuck into this machine. It goes beat up, boop uh,

446
00:19:31,840 --> 00:19:35,080
Speaker 5: and then it tells you if your skin's chronological age

447
00:19:35,080 --> 00:19:38,439
Speaker 5: and biological age match, or if you know your skin's

448
00:19:38,680 --> 00:19:43,160
Speaker 5: your skinny doing so good. It can analyze like different

449
00:19:43,200 --> 00:19:49,919
Speaker 5: criteria like wrinkles, skin barrier function, poor size, uh, you know,

450
00:19:50,640 --> 00:19:53,080
Speaker 5: even skin skin tone, like a bunch of different things.

451
00:19:53,440 --> 00:19:56,040
Speaker 5: And then based on the proteins that it had detected

452
00:19:56,160 --> 00:19:58,800
Speaker 5: from the from your skin and then the solution, it

453
00:19:58,800 --> 00:20:01,160
Speaker 5: can tell you whether you're pro to have those problems

454
00:20:01,160 --> 00:20:02,600
Speaker 5: in the future if you don't take care.

455
00:20:02,440 --> 00:20:04,280
Speaker 2: Of things, and so what is the thing you meant

456
00:20:04,280 --> 00:20:05,200
Speaker 2: to do with this information?

457
00:20:06,000 --> 00:20:09,360
Speaker 5: It is meant to help you wade through the cesspool

458
00:20:09,440 --> 00:20:13,439
Speaker 5: of skin fluencers hawking different products to you. So like

459
00:20:13,480 --> 00:20:17,240
Speaker 5: if you are you know, if you're a woman, probably

460
00:20:17,280 --> 00:20:19,720
Speaker 5: you're on TikTok and they're like, oh my god, you

461
00:20:19,840 --> 00:20:21,840
Speaker 5: need to buy a retinal. You need to have retinol

462
00:20:21,960 --> 00:20:24,639
Speaker 5: every day. I'll like, as soon as you start thirty

463
00:20:24,720 --> 00:20:26,440
Speaker 5: or you will shrivel up like an old crone. And

464
00:20:26,480 --> 00:20:30,400
Speaker 5: that retinyl is vitamin A and it is the most

465
00:20:30,440 --> 00:20:34,120
Speaker 5: clinically studied skincare ingredient. It is like basically what dermerenttologists

466
00:20:34,119 --> 00:20:36,680
Speaker 5: will give you if nothing's freaking working. But it is

467
00:20:36,720 --> 00:20:39,679
Speaker 5: a tough ingredient because a lot of people are like

468
00:20:39,800 --> 00:20:43,040
Speaker 5: sensitive to it. So there's something called purging, So if

469
00:20:43,080 --> 00:20:45,960
Speaker 5: you use it, you could end up, instead of having

470
00:20:46,000 --> 00:20:49,320
Speaker 5: clear skin, have a bunch of breakouts. And it's because

471
00:20:49,440 --> 00:20:53,600
Speaker 5: it's increasing cell turnover and it's just getting all the

472
00:20:53,600 --> 00:20:57,000
Speaker 5: impurities out of your face and you know it'll be

473
00:20:57,040 --> 00:20:59,439
Speaker 5: fine after that. The problem is it looks like it

474
00:20:59,480 --> 00:21:03,440
Speaker 5: looks the same as an intolerance or insensitivity to rentin all,

475
00:21:03,480 --> 00:21:06,200
Speaker 5: meaning it doesn't work for everyone, and those people are

476
00:21:06,240 --> 00:21:08,560
Speaker 5: just getting skin. So it can tell you if you're

477
00:21:08,600 --> 00:21:11,639
Speaker 5: responsive to it and whether it's worth that's really cool.

478
00:21:11,920 --> 00:21:13,600
Speaker 1: Yeah, that's what she really has.

479
00:21:13,680 --> 00:21:16,760
Speaker 5: Very cool and so like from different things that you notice.

480
00:21:16,800 --> 00:21:19,200
Speaker 5: So like for me, it said, you have some issues

481
00:21:19,200 --> 00:21:21,280
Speaker 5: with skin tone evenness, and yeah, I know that. I

482
00:21:21,280 --> 00:21:23,400
Speaker 5: can see it and it pisses me off and I'm

483
00:21:23,400 --> 00:21:24,440
Speaker 5: trying all these different things.

484
00:21:24,480 --> 00:21:26,040
Speaker 1: How do you deal with something like that?

485
00:21:26,240 --> 00:21:29,840
Speaker 5: So it's called hyperpigmentation, and there are different ingredients that

486
00:21:29,920 --> 00:21:32,320
Speaker 5: are said to fight that. So vitamin C is one.

487
00:21:33,480 --> 00:21:37,919
Speaker 5: Another one is nice cinemid. There's just like tranexamic acid

488
00:21:38,040 --> 00:21:39,960
Speaker 5: and all of those. So you know, like the girlies,

489
00:21:39,960 --> 00:21:42,080
Speaker 5: we're on TikTok and we are learning about all these

490
00:21:42,160 --> 00:21:43,640
Speaker 5: ingredients that we are supposed to use.

491
00:21:43,560 --> 00:21:44,240
Speaker 3: In different serium.

492
00:21:45,840 --> 00:21:46,840
Speaker 2: It will give you more direction.

493
00:21:47,040 --> 00:21:48,800
Speaker 5: It'll give you more direction. And like when I was

494
00:21:48,840 --> 00:21:50,560
Speaker 5: talking to them, they're like, it's going to help you

495
00:21:50,640 --> 00:21:53,439
Speaker 5: know what not to buy. That's because like when you

496
00:21:53,520 --> 00:21:56,080
Speaker 5: have all these marketers and these influencers, they're just telling

497
00:21:56,160 --> 00:21:58,320
Speaker 5: you all these things that Like I was on there,

498
00:21:58,359 --> 00:21:59,959
Speaker 5: I was like, do you know what the Creans use?

499
00:22:00,040 --> 00:22:02,359
Speaker 5: The Koreans use beffita? And I'm like, what the fuck

500
00:22:02,400 --> 00:22:03,880
Speaker 5: is buffita?

501
00:22:04,119 --> 00:22:06,080
Speaker 3: On social media? So like the other thing is you

502
00:22:06,080 --> 00:22:08,560
Speaker 3: go into Sephora or something and be like, help me out,

503
00:22:08,880 --> 00:22:10,760
Speaker 3: and I have bad skin, so I have to look

504
00:22:10,800 --> 00:22:13,560
Speaker 3: at this stuff too. And they will either you will

505
00:22:13,560 --> 00:22:15,800
Speaker 3: get a good salesperson who's like I got you, I

506
00:22:15,800 --> 00:22:18,159
Speaker 3: will take care, or you get somebody who wants to

507
00:22:18,200 --> 00:22:20,159
Speaker 3: make a lot of money and they will lead you to,

508
00:22:20,200 --> 00:22:21,680
Speaker 3: oh you need nice in am, I do you need

509
00:22:22,640 --> 00:22:26,480
Speaker 3: hyaluronic acid? All the fun stuff and plus retinol, and

510
00:22:26,520 --> 00:22:27,880
Speaker 3: then your your face is a mess.

511
00:22:27,840 --> 00:22:30,040
Speaker 5: And then you end up with a ten step skincare routine,

512
00:22:30,080 --> 00:22:33,119
Speaker 5: which was popular like ten years ago in Korea. Is

513
00:22:33,200 --> 00:22:36,600
Speaker 5: like super nuts. Like my cousin's kid is like eleven

514
00:22:36,640 --> 00:22:37,800
Speaker 5: years old and she came to She's like, let me

515
00:22:37,840 --> 00:22:40,080
Speaker 5: show you my skincare routine. I'm like, you're eleven. The

516
00:22:40,119 --> 00:22:42,639
Speaker 5: only thing you should be using is moisturizer and sunscreen, like.

517
00:22:42,640 --> 00:22:43,959
Speaker 2: A Dexta styles set up.

518
00:22:44,240 --> 00:22:46,359
Speaker 5: Yeah. No, And she was breaking out and I was like,

519
00:22:46,359 --> 00:22:48,399
Speaker 5: you know why you're breaking out. You're overloading your skin

520
00:22:48,480 --> 00:22:50,399
Speaker 5: and you're too young. You don't need any of this.

521
00:22:51,000 --> 00:22:52,520
Speaker 5: It is a moisturizer and a sunscreen.

522
00:22:52,600 --> 00:22:54,320
Speaker 2: So does this thing give direction or is it just

523
00:22:54,840 --> 00:22:56,520
Speaker 2: like it does.

524
00:22:56,359 --> 00:22:58,480
Speaker 5: Give you direction? Because for me it's so for me,

525
00:22:58,560 --> 00:23:00,879
Speaker 5: it was telling me like, oh, you have hyper pigmentation,

526
00:23:01,000 --> 00:23:04,160
Speaker 5: but technically the proteins you're not prone to it, so

527
00:23:04,200 --> 00:23:05,000
Speaker 5: there's something.

528
00:23:04,840 --> 00:23:05,960
Speaker 2: Well the consequence is there?

529
00:23:06,160 --> 00:23:09,040
Speaker 5: So that means that means like I should probably be

530
00:23:09,119 --> 00:23:11,840
Speaker 5: using a vitamin C. I don't currently, so I'm like, oh,

531
00:23:12,000 --> 00:23:15,120
Speaker 5: I was trying a different ingredient obviously working, so like

532
00:23:15,320 --> 00:23:17,280
Speaker 5: I can look for a vitamin C. It told me

533
00:23:17,359 --> 00:23:21,200
Speaker 5: I was responsive, like highly responsive to retinol, which means

534
00:23:21,280 --> 00:23:23,680
Speaker 5: it will likely work better for me than someone who's

535
00:23:23,720 --> 00:23:26,480
Speaker 5: intolerant of it, and so that means I should probably

536
00:23:26,560 --> 00:23:27,119
Speaker 5: use a retinal.

537
00:23:27,320 --> 00:23:29,480
Speaker 2: So this and the actual consequence is here is saving

538
00:23:29,600 --> 00:23:30,760
Speaker 2: hundreds of dollars.

539
00:23:30,920 --> 00:23:34,720
Speaker 5: Hundreds of dollars because these things are not cheap to buy. Like, yeah,

540
00:23:34,800 --> 00:23:37,040
Speaker 5: if you know what drunk Elephant is, I do not.

541
00:23:37,200 --> 00:23:39,560
Speaker 5: It's a very premium brand. And Sphara you walk in,

542
00:23:39,880 --> 00:23:42,400
Speaker 5: one bottle like seventy million liters is like one hundred

543
00:23:42,440 --> 00:23:44,480
Speaker 5: and fifty dollars. Like these things can.

544
00:23:44,400 --> 00:23:45,239
Speaker 1: Cost a lot of them.

545
00:23:45,320 --> 00:23:47,680
Speaker 2: All this pressure on social media to buy Bye Bye,

546
00:23:47,720 --> 00:23:49,400
Speaker 2: to fix every problem, make every part.

547
00:23:49,440 --> 00:23:52,160
Speaker 5: Like during the pandemic, skincare just blew up and then

548
00:23:52,240 --> 00:23:54,679
Speaker 5: like Korean skincare is like super popular now because you

549
00:23:54,680 --> 00:23:56,560
Speaker 5: look at you look at the stars of Squid Game,

550
00:23:56,560 --> 00:23:59,359
Speaker 5: how do you think they are? They're like fifty five

551
00:24:00,200 --> 00:24:04,240
Speaker 5: and their skin looks incredible. They do not look whatever.

552
00:24:04,280 --> 00:24:06,880
Speaker 5: And it's because they take skin gear so much more seriously.

553
00:24:07,040 --> 00:24:10,200
Speaker 5: They the tech that Loriol did, it was actually paired

554
00:24:10,200 --> 00:24:13,639
Speaker 5: with the Korean startup and then micropluitics, So they're taking

555
00:24:13,680 --> 00:24:16,560
Speaker 5: like protein ten this product of them ten years to

556
00:24:16,600 --> 00:24:18,159
Speaker 5: build because of the science and all.

557
00:24:18,080 --> 00:24:20,960
Speaker 3: Right, there was a booth I stopped by.

558
00:24:21,000 --> 00:24:24,000
Speaker 4: It was a Korean skincare company with some tech, and

559
00:24:24,040 --> 00:24:26,840
Speaker 4: they had like four pamphlets that had nothing to do

560
00:24:26,880 --> 00:24:29,879
Speaker 4: with the tech and just talked about why skincare was

561
00:24:29,920 --> 00:24:34,760
Speaker 4: so big as an industry Korea huge, which was which

562
00:24:34,800 --> 00:24:38,240
Speaker 4: I thought was really interesting because I feel like almost

563
00:24:38,240 --> 00:24:41,160
Speaker 4: every single pamphlet I've read besides those ones, has been

564
00:24:41,200 --> 00:24:43,440
Speaker 4: trying to trying to pitch me or sell me on

565
00:24:43,480 --> 00:24:45,400
Speaker 4: the tech, which I suppose that probably wasn't a way.

566
00:24:45,920 --> 00:24:46,520
Speaker 1: I mean, it's.

567
00:24:46,400 --> 00:24:49,080
Speaker 3: Interesting because there's there's an obsession with the lighter skin too,

568
00:24:49,160 --> 00:24:51,760
Speaker 3: Like whenever I go to computechs, the stuff you see

569
00:24:51,760 --> 00:24:53,440
Speaker 3: on billboards and everything is like, oh yeah, I want

570
00:24:53,480 --> 00:24:56,520
Speaker 3: to light complexion, you want a fair complexion, and it

571
00:24:56,560 --> 00:24:59,040
Speaker 3: all feels like this is all kind of I was like,

572
00:24:59,080 --> 00:25:01,000
Speaker 3: I see what you're up to, eyes, Like there is

573
00:25:01,440 --> 00:25:03,960
Speaker 3: very clear colorism going on there. So you're like literally

574
00:25:04,000 --> 00:25:07,400
Speaker 3: just you know, scrubbing your face off, scrubbing skin off

575
00:25:07,400 --> 00:25:09,359
Speaker 3: your face just to get a shade lighter, which is

576
00:25:09,400 --> 00:25:11,440
Speaker 3: part of a marketing too, which is a shame.

577
00:25:11,600 --> 00:25:14,160
Speaker 2: I mean, I'm really glad you brought that up though,

578
00:25:14,200 --> 00:25:16,639
Speaker 2: because The thing is with CS is it is very easy,

579
00:25:16,680 --> 00:25:19,119
Speaker 2: as I will know, to be a bit cynical, definitely pessimistic.

580
00:25:19,119 --> 00:25:21,840
Speaker 2: When you look around, it's just everything has AI on it.

581
00:25:21,840 --> 00:25:22,600
Speaker 1: It is nice to.

582
00:25:22,600 --> 00:25:26,320
Speaker 2: Hear, especially for the tech industry, something for a woman

583
00:25:26,400 --> 00:25:29,399
Speaker 2: that is like very like this seems extremely helpful.

584
00:25:29,440 --> 00:25:31,479
Speaker 3: It seems like it comes outside the tech industry too, right,

585
00:25:31,480 --> 00:25:32,120
Speaker 3: it's more of a look.

586
00:25:32,160 --> 00:25:34,080
Speaker 2: It's like using technology to solve a problem, which is

587
00:25:34,160 --> 00:25:35,480
Speaker 2: usually not the tech industry's idea.

588
00:25:35,920 --> 00:25:38,159
Speaker 5: And the funny thing is that people hear Lorial and

589
00:25:38,200 --> 00:25:40,480
Speaker 5: they don't think they do tech. They have been a

590
00:25:40,560 --> 00:25:43,680
Speaker 5: huge presence at this show for six, seven, eight years

591
00:25:43,720 --> 00:25:46,080
Speaker 5: now and they are doing interesting things with tech. And

592
00:25:46,280 --> 00:25:49,639
Speaker 5: you know, I hate the term fem tech because they

593
00:25:49,720 --> 00:25:52,159
Speaker 5: usually talk about it in a certain way. Usually has

594
00:25:52,200 --> 00:25:55,119
Speaker 5: to do like reproductive health tracking, YadA, YadA, YadA. But like,

595
00:25:55,720 --> 00:25:58,480
Speaker 5: they have a really high tech hair dryer that uses

596
00:25:58,520 --> 00:26:00,440
Speaker 5: infrared light to help you your hair.

597
00:26:00,440 --> 00:26:01,160
Speaker 2: Why is that good?

598
00:26:01,760 --> 00:26:04,320
Speaker 5: Because if you use so most hair dryers and hair

599
00:26:04,400 --> 00:26:07,600
Speaker 5: dryers are gadgets. Okay, they are the they're the second

600
00:26:07,600 --> 00:26:11,280
Speaker 5: most power intensive thing in your house besides the my like,

601
00:26:11,280 --> 00:26:13,760
Speaker 5: I think they use more power than a microwave really yeah,

602
00:26:13,840 --> 00:26:15,200
Speaker 5: and you use them for a long period of time.

603
00:26:15,200 --> 00:26:18,520
Speaker 5: They use heating coils, and that heating coil like you

604
00:26:18,520 --> 00:26:20,320
Speaker 5: want your hair to drive fast, you put it really

605
00:26:20,359 --> 00:26:21,200
Speaker 5: close to your head.

606
00:26:21,200 --> 00:26:23,960
Speaker 2: It damages your hair, of course, because there's a giant heat.

607
00:26:24,520 --> 00:26:26,960
Speaker 5: Right, heat, so you can hold it from further away,

608
00:26:27,080 --> 00:26:29,280
Speaker 5: use less heat, use less damage, and save a lot

609
00:26:29,280 --> 00:26:31,600
Speaker 5: of energy. So it's like good and it's like not

610
00:26:31,760 --> 00:26:34,480
Speaker 5: the sexiest thing in the world per se. It's not

611
00:26:34,600 --> 00:26:38,480
Speaker 5: things like, oh my god, we're going to revolutionize the world.

612
00:26:38,640 --> 00:26:40,800
Speaker 3: That is different than the Dcon because they did try

613
00:26:40,800 --> 00:26:41,720
Speaker 3: to revolutionize.

614
00:26:41,840 --> 00:26:45,119
Speaker 5: So the Dyson still is using airflow, right, it is

615
00:26:45,160 --> 00:26:48,720
Speaker 5: like airflow versus They did a lot of cool things

616
00:26:48,720 --> 00:26:50,560
Speaker 5: with airflow and engineering with the motor.

617
00:26:50,640 --> 00:26:51,520
Speaker 1: This is cool.

618
00:26:52,280 --> 00:26:54,159
Speaker 2: This is not actually applying heat to it.

619
00:26:54,200 --> 00:26:56,440
Speaker 5: No, it is applying heat, but it's applying heat from

620
00:26:56,440 --> 00:26:56,840
Speaker 5: the light.

621
00:26:57,200 --> 00:26:57,840
Speaker 1: It's light.

622
00:26:58,040 --> 00:26:59,800
Speaker 5: So it's like the way to describe it is like

623
00:27:00,000 --> 00:27:03,440
Speaker 5: when you have something rain right and there's no sun.

624
00:27:03,560 --> 00:27:06,480
Speaker 5: The next day, the water will dry, but not quite

625
00:27:06,480 --> 00:27:08,840
Speaker 5: as well because it's like the wind and whatever will

626
00:27:08,840 --> 00:27:11,240
Speaker 5: evaporate the water. But if it's you have rain and

627
00:27:11,280 --> 00:27:13,080
Speaker 5: the next day there is sun and wind.

628
00:27:13,119 --> 00:27:14,040
Speaker 1: It dries much faster.

629
00:27:14,400 --> 00:27:16,640
Speaker 5: It's the same concept but applied to your hair.

630
00:27:16,960 --> 00:27:19,280
Speaker 2: And I will respond to one thing you said, No,

631
00:27:19,400 --> 00:27:23,080
Speaker 2: I actually think things for woman's skin and hair dryers

632
00:27:23,119 --> 00:27:27,000
Speaker 2: that are less damaging to hair are actually the real revolutions.

633
00:27:27,040 --> 00:27:30,159
Speaker 2: If CS was old shit like this, it would actually

634
00:27:30,200 --> 00:27:33,119
Speaker 2: be a really cool show. If it was like ways

635
00:27:33,160 --> 00:27:34,880
Speaker 2: to use less water in a tap, let's still get

636
00:27:34,920 --> 00:27:35,800
Speaker 2: you as wet as you need to.

637
00:27:36,040 --> 00:27:37,240
Speaker 1: Like it's people.

638
00:27:37,400 --> 00:27:39,720
Speaker 5: I think it's because like the industry is like full

639
00:27:39,840 --> 00:27:42,400
Speaker 5: what the press industry for tech is like full of men.

640
00:27:42,520 --> 00:27:44,280
Speaker 2: I mean we kind of proved that the beginning, like

641
00:27:44,400 --> 00:27:45,320
Speaker 2: I'm actively.

642
00:27:44,960 --> 00:27:48,320
Speaker 5: Apolo, I'm actively the only woman in this room. But

643
00:27:48,600 --> 00:27:51,760
Speaker 5: it's like no. But it's like they have a lipstick printer.

644
00:27:52,200 --> 00:27:55,840
Speaker 5: That's pretty cool. You can take a you can app

645
00:27:55,840 --> 00:27:57,520
Speaker 5: you look at yourself, you can try out different colors

646
00:27:57,560 --> 00:27:59,199
Speaker 5: and then custom print to the actual thing. If you

647
00:27:59,200 --> 00:28:01,439
Speaker 5: have a celebrity that whose makeup look you like, you

648
00:28:01,440 --> 00:28:03,760
Speaker 5: can take a photo, you can color pick their exact

649
00:28:03,840 --> 00:28:06,280
Speaker 5: shade of lipstick and print it for yourself and then

650
00:28:06,320 --> 00:28:06,959
Speaker 5: take it on the go.

651
00:28:07,080 --> 00:28:08,200
Speaker 1: It's very thoughtful.

652
00:28:09,160 --> 00:28:11,800
Speaker 5: They have like a hair dye wand that like precisely

653
00:28:11,840 --> 00:28:15,240
Speaker 5: applies dye so you don't like destroy your bathroom. Hair

654
00:28:15,320 --> 00:28:19,240
Speaker 5: dyeing is like a ritual where it's like your bathroom

655
00:28:19,240 --> 00:28:21,280
Speaker 5: will never be the same. It takes forever to clean

656
00:28:21,359 --> 00:28:23,320
Speaker 5: up this. You can just brush your hair and you've

657
00:28:23,359 --> 00:28:25,680
Speaker 5: dyed it. That's it super cool, so.

658
00:28:25,720 --> 00:28:28,439
Speaker 2: Real future, I wish we'll see us was this Sadly

659
00:28:28,440 --> 00:28:31,359
Speaker 2: we're wrapping this book, d vingdro hottawall were came people

660
00:28:31,359 --> 00:28:31,800
Speaker 2: find you.

661
00:28:32,080 --> 00:28:34,880
Speaker 3: Find me at Engadget. I do the Engadget podcast there

662
00:28:34,880 --> 00:28:36,960
Speaker 3: and a podcast about movies and TV at the Filmcast

663
00:28:37,000 --> 00:28:38,200
Speaker 3: at the filmcast dot com.

664
00:28:38,240 --> 00:28:39,960
Speaker 2: Lovely Victoria, we can people find you.

665
00:28:40,760 --> 00:28:44,360
Speaker 5: I am at Vicm's song on all social handles, but god,

666
00:28:44,400 --> 00:28:46,840
Speaker 5: we got to find an alternative to Twitter. But then

667
00:28:47,120 --> 00:28:48,880
Speaker 5: I'm also at the Verge, so you can find.

668
00:28:48,680 --> 00:28:53,400
Speaker 6: Me there Wonderful and mister Newsletters, Detect, Bubble dot Substack

669
00:28:53,440 --> 00:28:57,680
Speaker 6: dot com podcast This Machine Kills, and Big Black Jacobin

670
00:28:57,880 --> 00:28:59,240
Speaker 6: on Twitter and blue Sky.

671
00:28:59,640 --> 00:29:03,400
Speaker 2: You can find me hanging from various banisters as I

672
00:29:03,480 --> 00:29:05,320
Speaker 2: crawl into your room to make you listen to the

673
00:29:05,320 --> 00:29:08,320
Speaker 2: podcast the second time. I need these downloads. Everyone. We'll

674
00:29:08,360 --> 00:29:11,440
Speaker 2: be right back after these insane advertisements that will blow

675
00:29:11,480 --> 00:29:24,400
Speaker 2: your mind. And we're back by the Thing, Download the

676
00:29:24,440 --> 00:29:27,960
Speaker 2: Thing or else. We have now been joined by mister

677
00:29:28,160 --> 00:29:29,720
Speaker 2: David Roth of Defecta.

678
00:29:29,800 --> 00:29:30,120
Speaker 1: Hello.

679
00:29:30,320 --> 00:29:32,960
Speaker 2: He is fresh from the hyper Loop, which he described

680
00:29:32,960 --> 00:29:33,640
Speaker 2: as thrilling.

681
00:29:33,800 --> 00:29:35,959
Speaker 1: Yeah, it was amazing. I had no idea that you

682
00:29:36,000 --> 00:29:39,000
Speaker 1: could take a car through a tunnel like that was

683
00:29:39,040 --> 00:29:39,560
Speaker 1: something that.

684
00:29:39,560 --> 00:29:40,520
Speaker 3: Yeah, how was the car right?

685
00:29:41,600 --> 00:29:43,719
Speaker 1: I did it too? Did you actually?

686
00:29:43,720 --> 00:29:44,479
Speaker 3: Oh my god?

687
00:29:44,720 --> 00:29:49,360
Speaker 4: You know there's all this talking dune about ancestral memory,

688
00:29:49,560 --> 00:29:53,200
Speaker 4: but nobody ever remembers what it's like to be that

689
00:29:53,200 --> 00:29:57,600
Speaker 4: that sperm swimming through the fromordio ooze. And you know what,

690
00:29:57,640 --> 00:29:59,200
Speaker 4: if you want to know what that is, get in

691
00:29:59,280 --> 00:30:03,160
Speaker 4: one of these uh tesla's and travel through these patchy

692
00:30:03,240 --> 00:30:08,880
Speaker 4: white ooz looking walls and the fake rocks and the.

693
00:30:08,080 --> 00:30:10,400
Speaker 3: Very short list. It's like a very useless distance.

694
00:30:10,960 --> 00:30:18,120
Speaker 1: Yes, and I cannot emphasize enough how walkable some of

695
00:30:18,160 --> 00:30:21,840
Speaker 1: the like basically a football field. You're in the thing

696
00:30:21,920 --> 00:30:23,880
Speaker 1: for like less than two minutes, but.

697
00:30:24,480 --> 00:30:27,440
Speaker 3: They spent years digging into the ground to do this.

698
00:30:27,480 --> 00:30:30,080
Speaker 3: I spend minutes thinking about why this is amazing.

699
00:30:30,480 --> 00:30:32,520
Speaker 2: I am the first time I went in it, and

700
00:30:32,520 --> 00:30:34,920
Speaker 2: the only time I went in it the cut, we

701
00:30:35,000 --> 00:30:38,000
Speaker 2: had a traffic jam and I just started to panic.

702
00:30:38,040 --> 00:30:40,400
Speaker 2: I'm going to be honest, Yeah, because I'm very sure

703
00:30:40,400 --> 00:30:43,760
Speaker 2: I was very closetrophobic. I was like, uh, I was

704
00:30:43,760 --> 00:30:45,200
Speaker 2: doing not the Tina from Bobsburg.

705
00:30:46,640 --> 00:30:49,920
Speaker 3: Whenever you're going to the underground tunnel, like into Manhattan

706
00:30:50,000 --> 00:30:52,080
Speaker 3: or something, you're like, it's could be bad.

707
00:30:52,480 --> 00:30:55,239
Speaker 1: Nowhere else to go. You're just in the tube. And

708
00:30:55,320 --> 00:30:58,040
Speaker 1: so yeah, that's the thing I never loved. I'm not

709
00:30:58,080 --> 00:30:59,960
Speaker 1: like a big height scot. I'm not a big confined space.

710
00:31:00,280 --> 00:31:03,880
Speaker 1: I'm just a real cowardly guy. I'm always afraid every

711
00:31:03,880 --> 00:31:06,880
Speaker 1: moment in my life. But in those tunnels, it's like

712
00:31:06,960 --> 00:31:09,520
Speaker 1: it's a big there's other cars in there. It feels

713
00:31:09,520 --> 00:31:12,600
Speaker 1: like it should in it together right where there's a whole.

714
00:31:14,320 --> 00:31:14,640
Speaker 3: Daylight.

715
00:31:14,760 --> 00:31:17,120
Speaker 2: Or if you get an ounce of the car in

716
00:31:17,160 --> 00:31:20,600
Speaker 2: a tunnel, theoretically walk around the cause in this one,

717
00:31:20,880 --> 00:31:22,680
Speaker 2: I don't know what you'd get out to me.

718
00:31:22,960 --> 00:31:25,200
Speaker 1: The tunnel is the size of the car, which I

719
00:31:25,200 --> 00:31:27,520
Speaker 1: didn't care for. Also, very steep getting in and out,

720
00:31:28,600 --> 00:31:31,520
Speaker 1: even by the sort of degraded standards of what we're

721
00:31:31,520 --> 00:31:34,440
Speaker 1: talking about here, which is basically like getting in a

722
00:31:34,520 --> 00:31:37,080
Speaker 1: car with one or two other people you don't know,

723
00:31:37,120 --> 00:31:41,000
Speaker 1: and then traveling the distance of two football fields, Like

724
00:31:41,120 --> 00:31:44,720
Speaker 1: it's still like it shouldn't be as unsafe feelings.

725
00:31:44,960 --> 00:31:47,400
Speaker 3: I feel like we gotta clown the hyperloop more. Yeah,

726
00:31:47,480 --> 00:31:53,320
Speaker 3: just how dumb and useless it existed to stop the all.

727
00:31:53,680 --> 00:31:56,160
Speaker 1: There's some journalism I will say, defector has we have

728
00:31:56,280 --> 00:31:58,600
Speaker 1: taken that torch and run with it. But there's also

729
00:31:58,680 --> 00:31:59,880
Speaker 1: only so many things you can say.

730
00:32:00,120 --> 00:32:02,040
Speaker 2: It's only so far it goes right.

731
00:32:02,000 --> 00:32:03,760
Speaker 3: Yeah, I kind of remind people like this was the

732
00:32:03,760 --> 00:32:06,680
Speaker 3: thing Elon Muski's to like kill the high speed rail.

733
00:32:06,760 --> 00:32:11,080
Speaker 1: Yes, correct, you got car in tunnel. This traces all

734
00:32:11,120 --> 00:32:11,480
Speaker 1: it took.

735
00:32:11,600 --> 00:32:16,800
Speaker 4: It also cost fifty three million dollars yeap, and it

736
00:32:16,920 --> 00:32:19,680
Speaker 4: costs oh wow, yeah, fifty three million to build, and

737
00:32:19,680 --> 00:32:22,400
Speaker 4: then forty seven million for the two tunnels and three stations.

738
00:32:22,440 --> 00:32:26,200
Speaker 1: That's awesome, great, all every fucking penny. Yeah, especially as

739
00:32:26,200 --> 00:32:30,200
Speaker 1: somebody who frequently rides the subway where one car can

740
00:32:30,200 --> 00:32:33,360
Speaker 1: hold like a train can hold like twelve hundred people, right,

741
00:32:33,800 --> 00:32:36,600
Speaker 1: Like in this case, it's like a car where there's

742
00:32:36,640 --> 00:32:38,440
Speaker 1: a guy that helps you get into it, and then

743
00:32:38,440 --> 00:32:40,400
Speaker 1: there's a guy that drives it. So the ratio of

744
00:32:40,600 --> 00:32:44,520
Speaker 1: people helping to people riding is either one to one

745
00:32:44,720 --> 00:32:47,800
Speaker 1: or very nearly one to one. And also it doesn't

746
00:32:47,840 --> 00:32:49,600
Speaker 1: work like every time people get out there just like

747
00:32:49,640 --> 00:32:52,560
Speaker 1: please exit, like ahead of the car. And I would

748
00:32:52,600 --> 00:32:54,239
Speaker 1: say that in the times that I was watching that

749
00:32:54,320 --> 00:32:55,880
Speaker 1: worked like maybe thirty.

750
00:32:55,680 --> 00:32:56,560
Speaker 3: Percent of that. Amazing.

751
00:32:56,720 --> 00:33:01,360
Speaker 1: Yeah, the super stuff great is the modern day Tony Stock. Yeah,

752
00:33:01,480 --> 00:33:02,120
Speaker 1: he's amazing.

753
00:33:02,120 --> 00:33:04,400
Speaker 2: He's so good. So what did you see on the

754
00:33:04,400 --> 00:33:05,120
Speaker 2: floor exactly?

755
00:33:05,360 --> 00:33:07,840
Speaker 1: So I tried to see as much as I could

756
00:33:07,960 --> 00:33:10,040
Speaker 1: in terms of like I wanted to see the sort

757
00:33:10,040 --> 00:33:14,240
Speaker 1: of the high and low of it, because I know

758
00:33:14,320 --> 00:33:16,000
Speaker 1: that when we were talking about it yesterday, I had

759
00:33:16,080 --> 00:33:19,320
Speaker 1: only been to the uh sort of the space here

760
00:33:19,480 --> 00:33:21,800
Speaker 1: in the Venetian and a lot of that was like,

761
00:33:22,520 --> 00:33:25,720
Speaker 1: you know, sort of their products, like they're identifiably like

762
00:33:25,800 --> 00:33:27,840
Speaker 1: things that you know. In many cases they're like you

763
00:33:27,920 --> 00:33:29,280
Speaker 1: know you're making it, so you buy it. And like

764
00:33:29,360 --> 00:33:32,680
Speaker 1: in some cases it's like it's a vibrator or it's

765
00:33:32,720 --> 00:33:34,480
Speaker 1: like a dog door or whatever, but it's like it

766
00:33:34,520 --> 00:33:37,320
Speaker 1: has a practice pose, right, which is incredible. Yes, there

767
00:33:37,360 --> 00:33:39,560
Speaker 1: was one that we talked about this with the air purifier,

768
00:33:39,560 --> 00:33:41,880
Speaker 1: which we should probably go back to fill some confusion.

769
00:33:42,360 --> 00:33:45,760
Speaker 1: But in this case, it's like, so the convention center,

770
00:33:45,840 --> 00:33:47,400
Speaker 1: and I know you all have been over this a

771
00:33:47,440 --> 00:33:48,720
Speaker 1: million times on the podcast, but I'm just.

772
00:33:49,360 --> 00:33:50,720
Speaker 2: Can say it again, all right, Cool.

773
00:33:51,480 --> 00:33:54,480
Speaker 1: It is like the biggest of the big brands have

774
00:33:54,720 --> 00:33:58,840
Speaker 1: their sort of like LG experience stuff and this is

775
00:33:58,920 --> 00:34:02,680
Speaker 1: like a huge, like thousand square foots yeah, big awesome,

776
00:34:02,800 --> 00:34:05,800
Speaker 1: deep pile carpet, Like it's like a pleasure to experience.

777
00:34:06,080 --> 00:34:08,480
Speaker 1: But then if you go upstairs, it's like all the

778
00:34:08,520 --> 00:34:13,759
Speaker 1: white label Chinese electronic brands like sell on Amazon, And

779
00:34:14,040 --> 00:34:16,479
Speaker 1: so I got to see I wanted to see both

780
00:34:16,520 --> 00:34:19,960
Speaker 1: of those, and like the there's also this sort of

781
00:34:20,000 --> 00:34:23,760
Speaker 1: area where the first is like bleeding into the second,

782
00:34:23,760 --> 00:34:27,120
Speaker 1: where there's like brands that are doing ambitious stuff, you know,

783
00:34:27,160 --> 00:34:29,560
Speaker 1: wherey're like they make a robot or whatever the kid

784
00:34:29,600 --> 00:34:31,799
Speaker 1: is supposed to play with or something, but it like

785
00:34:31,880 --> 00:34:34,000
Speaker 1: also kind of sucks, Like it's not like the LG

786
00:34:34,400 --> 00:34:37,960
Speaker 1: shit was interesting to me because like as much as

787
00:34:38,480 --> 00:34:40,960
Speaker 1: I sort of as we discussed yesterday that like some

788
00:34:41,000 --> 00:34:45,360
Speaker 1: of the AI elements are like so misbegotten as to

789
00:34:45,520 --> 00:34:48,560
Speaker 1: like almost be poignant, right, But then you give an

790
00:34:48,600 --> 00:34:51,520
Speaker 1: example of one, like just the stupid one. The smart

791
00:34:51,520 --> 00:34:53,880
Speaker 1: home stuff really like kind of was weird to me

792
00:34:53,920 --> 00:34:56,800
Speaker 1: because that was so I ran into a coworker of yours,

793
00:34:56,800 --> 00:35:01,560
Speaker 1: an engadget guy up on the Chinese Electronics flirt, Dan

794
00:35:01,840 --> 00:35:05,960
Speaker 1: Dan Cooper, great dude, very happy to talk to him,

795
00:35:06,000 --> 00:35:08,879
Speaker 1: and he uh was sort of telling me about an

796
00:35:08,920 --> 00:35:11,240
Speaker 1: ad So I was struck by the smart home stuff

797
00:35:11,280 --> 00:35:14,759
Speaker 1: in the LG space. Like all the products themselves, like

798
00:35:14,800 --> 00:35:17,880
Speaker 1: as a product are cool. The O L D O

799
00:35:18,120 --> 00:35:20,799
Speaker 1: L ED screens blew my mind. They were incredible. There

800
00:35:20,840 --> 00:35:22,719
Speaker 1: was stuff where you could like basically have a sort

801
00:35:22,760 --> 00:35:26,560
Speaker 1: of more or less dirt free home garden thing and

802
00:35:26,680 --> 00:35:28,680
Speaker 1: like it looks sick, dude, Like it looked like something

803
00:35:28,680 --> 00:35:31,600
Speaker 1: from the Jetsons. Like I was legitimately thinking that it

804
00:35:31,600 --> 00:35:33,919
Speaker 1: would be a nice thing to have free home. Yeah,

805
00:35:33,960 --> 00:35:35,360
Speaker 1: it was like and it looked it was just like

806
00:35:35,640 --> 00:35:37,839
Speaker 1: they do like a boombox basically, like there were these

807
00:35:37,840 --> 00:35:40,480
Speaker 1: little slots with plants growing up through it, and they

808
00:35:40,480 --> 00:35:42,440
Speaker 1: said you could grow vegetables in it. I don't think

809
00:35:42,480 --> 00:35:43,319
Speaker 1: I would do that, but.

810
00:35:43,239 --> 00:35:47,600
Speaker 3: It's like like those those like self contained but.

811
00:35:47,760 --> 00:35:49,080
Speaker 2: One can eat vegetables.

812
00:35:49,360 --> 00:35:53,120
Speaker 1: Certainly that's a practical that's a thing that something does. Yes,

813
00:35:53,400 --> 00:35:57,040
Speaker 1: and so so all of those items were neat to me.

814
00:35:57,160 --> 00:35:59,880
Speaker 1: But then the smart home thing was basically like the

815
00:36:00,200 --> 00:36:05,080
Speaker 1: most degrading, paying imaginable where they're like, is this what

816
00:36:05,120 --> 00:36:07,200
Speaker 1: you hogs want? You want a robot to pick your

817
00:36:07,200 --> 00:36:09,000
Speaker 1: clothes for you and then map your commute? I bet

818
00:36:09,080 --> 00:36:09,799
Speaker 1: you want that, right?

819
00:36:10,280 --> 00:36:10,799
Speaker 2: Do you think that?

820
00:36:11,000 --> 00:36:12,960
Speaker 1: What if we told you that the robot cared for you?

821
00:36:13,600 --> 00:36:15,160
Speaker 3: There was a lot of best friends.

822
00:36:15,239 --> 00:36:18,200
Speaker 1: Yeah, there's so that language, especially LG had it.

823
00:36:18,480 --> 00:36:22,960
Speaker 2: Where is this affectionate intelligence intelligence Jesus Christ, empathetic AI?

824
00:36:23,640 --> 00:36:25,759
Speaker 3: Two years later it dies because the cloud service, right.

825
00:36:28,120 --> 00:36:33,200
Speaker 4: And it's going to make you feel like premium plan.

826
00:36:33,560 --> 00:36:35,600
Speaker 1: You killed him. You killed the guy that picks your

827
00:36:35,640 --> 00:36:36,640
Speaker 1: pants every day, but.

828
00:36:36,600 --> 00:36:38,759
Speaker 3: You can bring them back to life for nine extra

829
00:36:38,840 --> 00:36:42,160
Speaker 3: dollars a month. Did you guys hear about the robot

830
00:36:42,160 --> 00:36:45,239
Speaker 3: for kids Moxie, Yeah, the one that tell us the story.

831
00:36:45,239 --> 00:36:47,480
Speaker 3: I mean that the Moxie was just like very expensive

832
00:36:47,560 --> 00:36:50,560
Speaker 3: robot for kids developed by the I Robot CTO. So

833
00:36:50,600 --> 00:36:53,360
Speaker 3: somebody who like really wanted to build a companion, especially

834
00:36:53,360 --> 00:36:56,560
Speaker 3: for kids who are maybe special needs or autistic kids

835
00:36:56,719 --> 00:36:59,240
Speaker 3: and just something for them to interact with learn language.

836
00:36:59,640 --> 00:37:02,319
Speaker 3: You're later that thing dies. Now you have to tell

837
00:37:02,360 --> 00:37:05,399
Speaker 3: your child that their robot best friend is dead. Yeah,

838
00:37:05,480 --> 00:37:08,360
Speaker 3: because this company couldn't get funding in time, and the

839
00:37:08,360 --> 00:37:10,759
Speaker 3: cloud surface is dead. So now you just have a

840
00:37:10,800 --> 00:37:12,959
Speaker 3: really expensive I think it was like fifteen hundred dollars

841
00:37:13,000 --> 00:37:15,560
Speaker 3: in the beginning. We're like a fifty dollars monthly price.

842
00:37:16,719 --> 00:37:19,200
Speaker 4: It has been realizing I'm the guy in like these

843
00:37:19,239 --> 00:37:21,360
Speaker 4: sci fi movies. You'd be like, I better not fucking

844
00:37:21,400 --> 00:37:22,520
Speaker 4: see you with a cyborg.

845
00:37:22,719 --> 00:37:26,759
Speaker 1: Yeah, they had there's like a new version of what

846
00:37:26,760 --> 00:37:31,359
Speaker 1: you're describing Amy Ai and what was this similar thing

847
00:37:31,360 --> 00:37:35,759
Speaker 1: looked like a ferbie. It blinked and it talked in

848
00:37:35,800 --> 00:37:40,040
Speaker 1: a childlike voice, and it was a companion. So this

849
00:37:40,080 --> 00:37:41,799
Speaker 1: is again one of those things where like you kind

850
00:37:41,800 --> 00:37:43,120
Speaker 1: of do got to hand it to him in the

851
00:37:43,160 --> 00:37:46,080
Speaker 1: sense that it's cute. People were lining up to get

852
00:37:46,080 --> 00:37:48,080
Speaker 1: their picture taken with it, Like there is a lot

853
00:37:48,120 --> 00:37:50,759
Speaker 1: of just I watched like three different guys just walk

854
00:37:50,840 --> 00:37:54,520
Speaker 1: up get handed the thing like whatever, the Stanley cup

855
00:37:54,680 --> 00:37:56,879
Speaker 1: or whatever just hit the soy face while someone took

856
00:37:56,880 --> 00:37:58,640
Speaker 1: a picture of them and then passed it to the

857
00:37:58,640 --> 00:37:59,799
Speaker 1: next day they did the same thing.

858
00:38:00,320 --> 00:38:02,719
Speaker 3: Cute robots, Like yeah, a lot of those categories, Like

859
00:38:02,719 --> 00:38:06,520
Speaker 3: there was one that just stares at you. It just

860
00:38:06,520 --> 00:38:09,200
Speaker 3: like looks up at you, and it's like, Hi, that.

861
00:38:09,280 --> 00:38:14,760
Speaker 2: Was I don't need like an aggrod NPC from Morrow

862
00:38:14,800 --> 00:38:17,319
Speaker 2: Wind just walk.

863
00:38:17,920 --> 00:38:20,640
Speaker 4: On some level, it's like it is technically impressive to

864
00:38:20,680 --> 00:38:22,760
Speaker 4: be able to figure out a way to hack into

865
00:38:23,080 --> 00:38:25,480
Speaker 4: what we view as cute, figure out a way to

866
00:38:25,520 --> 00:38:27,279
Speaker 4: get something that you're gonna let into your home like that,

867
00:38:27,560 --> 00:38:30,720
Speaker 4: But then it immediately brings you the next question, you need.

868
00:38:30,560 --> 00:38:31,240
Speaker 2: It, righteah?

869
00:38:31,360 --> 00:38:33,319
Speaker 1: And that's exactly that's where I was going with it too,

870
00:38:33,320 --> 00:38:35,879
Speaker 1: that it's like as a design thing, it's like it's

871
00:38:35,920 --> 00:38:38,040
Speaker 1: a try idea like I thought it was. I wanted

872
00:38:38,040 --> 00:38:41,439
Speaker 1: to pet it, you know, holding that thing, and yet

873
00:38:41,560 --> 00:38:44,120
Speaker 1: like the idea of it like talking to my child,

874
00:38:44,239 --> 00:38:47,359
Speaker 1: like no, fucking like, that's just not a thing where

875
00:38:47,400 --> 00:38:49,200
Speaker 1: I mean I again, this is the other aspect of

876
00:38:49,239 --> 00:38:51,560
Speaker 1: what you're saying, Like there are other needs and applications

877
00:38:51,560 --> 00:38:53,600
Speaker 1: for this stuff, And so when I look at something

878
00:38:53,600 --> 00:38:54,960
Speaker 1: and I'm like, well, I wouldn't use that, Like I

879
00:38:54,960 --> 00:38:57,000
Speaker 1: don wouldn't want to be in a robot that exercises

880
00:38:57,040 --> 00:38:59,840
Speaker 1: for me like, well, I don't have like unilateral I

881
00:38:59,840 --> 00:39:00,840
Speaker 1: don't my issues.

882
00:39:00,920 --> 00:39:03,120
Speaker 2: I am a child and a lot of experience with

883
00:39:03,400 --> 00:39:06,760
Speaker 2: special aids kids as well. And guess what, this stuff's

884
00:39:06,760 --> 00:39:09,759
Speaker 2: fucking repugnant to me. It is disgusting to me the

885
00:39:09,800 --> 00:39:13,279
Speaker 2: idea that and I understand it's like, yeah, companionship, what

886
00:39:13,360 --> 00:39:15,839
Speaker 2: have you. But it's like any time I don't mean

887
00:39:15,840 --> 00:39:18,480
Speaker 2: you to bendra any of these companies that try and suggest, oh,

888
00:39:18,520 --> 00:39:20,319
Speaker 2: this is the we're going to use the computer to

889
00:39:20,360 --> 00:39:23,080
Speaker 2: fix your sons, because that's what the actual suggestion is.

890
00:39:23,400 --> 00:39:25,799
Speaker 2: It's not the it's not that they're like this is

891
00:39:25,800 --> 00:39:27,520
Speaker 2: really going to help you. And there are examples of

892
00:39:27,560 --> 00:39:31,880
Speaker 2: things that can they're even for like older people with dementia.

893
00:39:31,920 --> 00:39:33,839
Speaker 2: For example, they had these kind of companions that were

894
00:39:33,840 --> 00:39:38,080
Speaker 2: literally just like effectively like fluffy toys that kind of

895
00:39:38,120 --> 00:39:39,759
Speaker 2: purd like a cat and it just made them feel

896
00:39:39,760 --> 00:39:42,440
Speaker 2: like a robot, the headless cat, and it was just

897
00:39:42,640 --> 00:39:45,000
Speaker 2: very but that had a very specific thing. But these

898
00:39:45,080 --> 00:39:47,719
Speaker 2: robots is this kind of catch all if something's wrong

899
00:39:47,760 --> 00:39:50,000
Speaker 2: with your child, because that really is what they're saying,

900
00:39:50,320 --> 00:39:53,279
Speaker 2: and it's just but I'm also not buying your head off,

901
00:39:53,280 --> 00:39:55,920
Speaker 2: because it's like, theoretically, the idea of one of these

902
00:39:55,960 --> 00:39:59,000
Speaker 2: things is sensible, like I'm a loser and I'm lonely,

903
00:39:59,040 --> 00:40:01,719
Speaker 2: and I could use some or like a like a

904
00:40:01,800 --> 00:40:03,680
Speaker 2: child would like a teddy bear that could talk to

905
00:40:03,719 --> 00:40:05,960
Speaker 2: it theoretically, but it feels like none of these people

906
00:40:06,000 --> 00:40:08,640
Speaker 2: have got beyond that stage ever, right, They're not like

907
00:40:08,960 --> 00:40:12,200
Speaker 2: and how would this operate with a person?

908
00:40:12,440 --> 00:40:14,880
Speaker 1: That was the bit that So the thing that like

909
00:40:14,960 --> 00:40:20,240
Speaker 1: kind of left me feeling sad ish leaving the convention

910
00:40:20,320 --> 00:40:23,279
Speaker 1: center was that aspect of it, right, that all of

911
00:40:23,320 --> 00:40:26,279
Speaker 1: it is sort of not just so the smart home

912
00:40:26,360 --> 00:40:29,120
Speaker 1: was bizarre to me because it was infantalizing. But there's

913
00:40:29,160 --> 00:40:30,920
Speaker 1: also and this was the bit that you're that Dan

914
00:40:31,000 --> 00:40:33,440
Speaker 1: told me about, was it? He was like, this is

915
00:40:33,440 --> 00:40:35,480
Speaker 1: also great to talk to more people with that, Like

916
00:40:35,560 --> 00:40:38,759
Speaker 1: thousand yards stare, they've been to thirteen ces is.

917
00:40:38,719 --> 00:40:39,919
Speaker 2: Like the dad nothing God.

918
00:40:40,160 --> 00:40:42,600
Speaker 1: Yeah, so he was like, oh, there's probably six ces

919
00:40:42,680 --> 00:40:43,240
Speaker 1: as ago.

920
00:40:44,840 --> 00:40:47,200
Speaker 2: Drag on a cigarette pre pandemic time.

921
00:40:47,320 --> 00:40:49,360
Speaker 1: Yes, you have to imagine this is actually just like

922
00:40:49,400 --> 00:40:51,400
Speaker 1: a perfectly cheerful man the British accident.

923
00:40:51,480 --> 00:40:53,000
Speaker 2: Yeah British, right, he does.

924
00:40:53,280 --> 00:40:56,239
Speaker 1: But he was talking about an lg AD that they

925
00:40:56,280 --> 00:40:58,440
Speaker 1: had then it like clearly had stayed with him. Do

926
00:40:58,440 --> 00:41:00,400
Speaker 1: you know the video that I'm talking about on it?

927
00:41:00,440 --> 00:41:03,759
Speaker 1: So this is it's like, uh it was. This was

928
00:41:03,800 --> 00:41:05,759
Speaker 1: their like sort of smart home thing that they were

929
00:41:06,320 --> 00:41:09,800
Speaker 1: working with then. And it seems like an important distinction

930
00:41:09,840 --> 00:41:11,560
Speaker 1: that this is like a pre pandemic thing because so

931
00:41:11,640 --> 00:41:13,520
Speaker 1: much of this stuff feels like it's designed to be

932
00:41:13,560 --> 00:41:16,399
Speaker 1: like are you so lonely? And you never see anybody? Right,

933
00:41:16,440 --> 00:41:18,439
Speaker 1: which I think is an experience that's now like more

934
00:41:18,520 --> 00:41:21,359
Speaker 1: current than or like at least more you can kind

935
00:41:21,400 --> 00:41:23,640
Speaker 1: of like put your finger on the top of the yes,

936
00:41:23,719 --> 00:41:25,760
Speaker 1: whereas like I feel like six years ago there's a partment.

937
00:41:25,840 --> 00:41:27,600
Speaker 1: It's like no, man, I just go to the store,

938
00:41:27,920 --> 00:41:29,319
Speaker 1: Like I don't have to like if I want to

939
00:41:29,320 --> 00:41:31,239
Speaker 1: see another person, I had to do it. But in

940
00:41:31,280 --> 00:41:33,080
Speaker 1: this case, so the video he was describing was like

941
00:41:33,640 --> 00:41:36,719
Speaker 1: it's the life of a guy who's got like an

942
00:41:36,920 --> 00:41:40,680
Speaker 1: lg AI support that is sort of taking care of everything.

943
00:41:40,960 --> 00:41:42,600
Speaker 2: Is this the way, kid?

944
00:41:42,840 --> 00:41:46,080
Speaker 1: No? This is so here he wakes up, the thing

945
00:41:46,160 --> 00:41:48,080
Speaker 1: is like hey, good morning, Like you know it's seventy

946
00:41:48,080 --> 00:41:49,600
Speaker 1: one degrees outside. Would you like me to pick your

947
00:41:49,640 --> 00:41:51,359
Speaker 1: outfit out for you and you just say thank you,

948
00:41:51,400 --> 00:41:52,759
Speaker 1: and then it does. And then it comes out of

949
00:41:52,800 --> 00:41:55,080
Speaker 1: like a steamer that's like built that's in your home,

950
00:41:55,120 --> 00:41:57,160
Speaker 1: you know. So everything's just your fresh and flies. You

951
00:41:57,239 --> 00:41:58,719
Speaker 1: leave the home, you get in a car, the same

952
00:41:58,840 --> 00:42:02,279
Speaker 1: robot drives you to work. Then it turns out that

953
00:42:02,360 --> 00:42:05,799
Speaker 1: it's arranged a blind date for you based on right,

954
00:42:05,880 --> 00:42:08,279
Speaker 1: this is where it starts getting darker, based on like

955
00:42:08,400 --> 00:42:11,480
Speaker 1: your preferences, presumably based on the same sort of algorithms

956
00:42:11,480 --> 00:42:13,320
Speaker 1: to tell you, you know that, like today is not a

957
00:42:13,400 --> 00:42:15,080
Speaker 1: day to where linen pants, Today's a day to wear

958
00:42:15,080 --> 00:42:19,520
Speaker 1: cotton pants. The so then the video follows the guy

959
00:42:19,520 --> 00:42:22,000
Speaker 1: he's on this blind day with this woman. It's it's working.

960
00:42:22,280 --> 00:42:25,080
Speaker 1: And then the AI takes because it can control the

961
00:42:25,120 --> 00:42:28,960
Speaker 1: projection on the light of the windows of building across

962
00:42:29,000 --> 00:42:31,920
Speaker 1: the street, changes to like show that it's it's a

963
00:42:31,960 --> 00:42:34,320
Speaker 1: heart and so that shows.

964
00:42:34,080 --> 00:42:37,560
Speaker 3: That's that's just in that robot is just an Indian mother. Yeah,

965
00:42:37,880 --> 00:42:41,520
Speaker 3: it is just wake up, my son, here's your outfit,

966
00:42:41,640 --> 00:42:44,640
Speaker 3: here's your clothes. I found a date for you. That's

967
00:42:44,680 --> 00:42:45,120
Speaker 3: all it is.

968
00:42:45,520 --> 00:42:47,360
Speaker 1: But this is the bit that was like striking me

969
00:42:47,400 --> 00:42:49,360
Speaker 1: about like there's no agency day of this. He was

970
00:42:49,400 --> 00:42:51,719
Speaker 1: like the Dan's words on it. He was like, this

971
00:42:51,800 --> 00:42:57,520
Speaker 1: guy just gets bullied all day AI, he doesn't make

972
00:42:57,560 --> 00:42:59,279
Speaker 1: a single choice all day long.

973
00:42:59,440 --> 00:43:02,840
Speaker 2: Actually sounds great, though, Yeah, I'd love to wake up

974
00:43:02,880 --> 00:43:03,160
Speaker 2: with that.

975
00:43:03,320 --> 00:43:05,680
Speaker 3: I think a lot of people would want they would

976
00:43:05,719 --> 00:43:07,360
Speaker 3: find some sauce in reducing choices.

977
00:43:07,440 --> 00:43:09,400
Speaker 2: I am mostly kidding, by the way, the idea of

978
00:43:09,400 --> 00:43:15,800
Speaker 2: waking up and the well, yes, yes, I am nothing

979
00:43:15,880 --> 00:43:18,280
Speaker 2: like this. I just wake up and read three different

980
00:43:18,320 --> 00:43:22,040
Speaker 2: apps that tell me how to fail every day. Like

981
00:43:22,160 --> 00:43:26,280
Speaker 2: I just go and read pages of stuff that twangs

982
00:43:26,360 --> 00:43:28,840
Speaker 2: my emotions. And then I go and like use the

983
00:43:28,840 --> 00:43:32,399
Speaker 2: text step to text my therapist. I read a post again. Yeah,

984
00:43:32,480 --> 00:43:33,360
Speaker 2: it's totally different.

985
00:43:33,520 --> 00:43:35,840
Speaker 1: That's the bit that's weird about this too, though, is that, like,

986
00:43:35,960 --> 00:43:38,920
Speaker 1: so there's something that's what made me sad about it

987
00:43:38,960 --> 00:43:41,440
Speaker 1: was the idea of just being like a flag raw

988
00:43:41,520 --> 00:43:44,640
Speaker 1: goose and like your whole life is just piped down

989
00:43:44,640 --> 00:43:46,640
Speaker 1: your throat like fun and you're just like, oh, thank you.

990
00:43:46,680 --> 00:43:49,759
Speaker 1: I feel this really is the hogs, It's the whole,

991
00:43:49,920 --> 00:43:52,360
Speaker 1: the whole. This is what you guys like like just

992
00:43:52,400 --> 00:43:54,839
Speaker 1: eat out this trough, like we've taken care of it

993
00:43:54,880 --> 00:43:55,760
Speaker 1: all you need.

994
00:43:55,640 --> 00:43:58,840
Speaker 3: To doing towards Wally predicted different.

995
00:43:59,280 --> 00:44:02,680
Speaker 2: That's a ship one's it doesn't even work this way,

996
00:44:02,719 --> 00:44:04,040
Speaker 2: but I do feel like it, So it doesn't.

997
00:44:04,520 --> 00:44:07,080
Speaker 1: The fact that it doesn't work is like funny to me,

998
00:44:07,360 --> 00:44:10,040
Speaker 1: But it is also like the fact that they're promising

999
00:44:10,640 --> 00:44:13,120
Speaker 1: this is that was the part that was like uncanny

1000
00:44:13,120 --> 00:44:15,759
Speaker 1: about it, Like the idea of you want to take

1001
00:44:15,840 --> 00:44:18,480
Speaker 1: all of this mastery that you have that's made your

1002
00:44:18,520 --> 00:44:23,080
Speaker 1: products so unfathomably cool and like project it across every

1003
00:44:23,120 --> 00:44:26,319
Speaker 1: spectrum of somebody's life, like to a certain extent, like

1004
00:44:26,360 --> 00:44:29,880
Speaker 1: I would want to be asked to my consent. Yeah,

1005
00:44:29,920 --> 00:44:32,240
Speaker 1: but also you know, you see how good those OLED

1006
00:44:32,360 --> 00:44:33,560
Speaker 1: screens are, and there's a part of me that's like,

1007
00:44:33,560 --> 00:44:35,320
Speaker 1: I don't know, man, that's because like you guys.

1008
00:44:35,080 --> 00:44:38,120
Speaker 3: Do cars, you know, like we're moving beyond old, we're

1009
00:44:38,239 --> 00:44:42,440
Speaker 3: in micro led now and that stuff is it's it's wild.

1010
00:44:43,200 --> 00:44:44,080
Speaker 2: From are going.

1011
00:44:44,200 --> 00:44:48,879
Speaker 1: Yeah, But that's that's the idea though, is the sort

1012
00:44:48,920 --> 00:44:52,480
Speaker 1: of like I don't want to be protected from every

1013
00:44:52,600 --> 00:44:56,200
Speaker 1: aspect of like being a lot fel like.

1014
00:44:56,640 --> 00:44:59,239
Speaker 2: There's another thing that pisses me off about this. First

1015
00:44:59,280 --> 00:45:01,800
Speaker 2: of all, they're lying just right, like the first.

1016
00:45:01,640 --> 00:45:02,120
Speaker 3: Of all the line.

1017
00:45:02,160 --> 00:45:04,960
Speaker 2: But two, if you look at how the tech industry

1018
00:45:05,200 --> 00:45:09,600
Speaker 2: actually treats customers, do you think that any of this would,

1019
00:45:09,640 --> 00:45:11,879
Speaker 2: even if it did work, be good. It's like I'm

1020
00:45:11,880 --> 00:45:13,840
Speaker 2: going to meet with a woman who is actually a

1021
00:45:13,880 --> 00:45:17,839
Speaker 2: pig butchering scam waiting to happen, and my car ends

1022
00:45:17,880 --> 00:45:19,479
Speaker 2: up pulling over to the side of the road because

1023
00:45:19,480 --> 00:45:21,560
Speaker 2: there was a traffic cone in the in the road

1024
00:45:21,640 --> 00:45:23,560
Speaker 2: and I'm late for the day and the other woman's

1025
00:45:23,600 --> 00:45:26,120
Speaker 2: threatening to kill me. But don't worry. The trousers I

1026
00:45:26,160 --> 00:45:28,160
Speaker 2: have on have a giant stain on them from the

1027
00:45:28,280 --> 00:45:32,319
Speaker 2: LG cabinet, which and I also will admit I have

1028
00:45:32,480 --> 00:45:36,759
Speaker 2: the LG steam cabinet exactly. I actually use it like

1029
00:45:37,040 --> 00:45:39,319
Speaker 2: a genuine like I done meetings. I use suits a

1030
00:45:39,320 --> 00:45:40,000
Speaker 2: lots of them like this.

1031
00:45:39,960 --> 00:45:43,000
Speaker 1: As an audio medium. But it looks amazing, thank you,

1032
00:45:43,160 --> 00:45:43,440
Speaker 1: thank you.

1033
00:45:43,520 --> 00:45:48,160
Speaker 2: David's steaming right now. I am just steaming here. But

1034
00:45:48,239 --> 00:45:52,080
Speaker 2: even then that thing works mostly, but it just doesn't

1035
00:45:52,080 --> 00:45:52,880
Speaker 2: get all the wrinkles.

1036
00:45:53,000 --> 00:45:55,279
Speaker 1: It's like they can't even get the fucking steamer right.

1037
00:45:55,480 --> 00:45:55,680
Speaker 2: Yeah.

1038
00:45:55,800 --> 00:45:59,160
Speaker 3: The problem is these companies think all we want is

1039
00:45:59,160 --> 00:46:02,040
Speaker 3: no friction. They think we want to glide through life

1040
00:46:02,080 --> 00:46:04,920
Speaker 3: like we're fully lubricated. You know, it's just like, oh,

1041
00:46:04,960 --> 00:46:07,680
Speaker 3: no problems. I don't want to think. I want to

1042
00:46:07,680 --> 00:46:09,640
Speaker 3: think about something to remove the friction.

1043
00:46:10,760 --> 00:46:13,279
Speaker 4: This is my one regret for CS. I didn't get

1044
00:46:13,280 --> 00:46:17,919
Speaker 4: to visit the fintech section because the section, and that's

1045
00:46:18,000 --> 00:46:22,360
Speaker 4: where they believe in removing friction and they do. Whether

1046
00:46:22,440 --> 00:46:25,680
Speaker 4: or not they do so is whether or not doing

1047
00:46:25,719 --> 00:46:29,120
Speaker 4: so is good or bad. You know, let's see, it's

1048
00:46:29,160 --> 00:46:32,200
Speaker 4: almost always and not almost always, it is always bad,

1049
00:46:32,480 --> 00:46:34,960
Speaker 4: you know, when one of these fintech firms removes friction

1050
00:46:35,400 --> 00:46:37,520
Speaker 4: in making a transaction or a trade. But that's like

1051
00:46:37,600 --> 00:46:40,560
Speaker 4: one place I think of when I when I when

1052
00:46:40,600 --> 00:46:43,600
Speaker 4: we're talking about removing friction, making your life more of

1053
00:46:43,640 --> 00:46:46,919
Speaker 4: some coherent engine towards some end, and that's where they've

1054
00:46:46,960 --> 00:46:49,399
Speaker 4: done it, and it's been disastrous.

1055
00:46:49,760 --> 00:46:51,880
Speaker 1: But also these companies don't remove that I would love.

1056
00:46:52,040 --> 00:46:54,120
Speaker 2: Look, perhaps I don't need to be fully loved or

1057
00:46:54,120 --> 00:46:58,000
Speaker 2: partially loved like I would like less friction instead as

1058
00:46:58,040 --> 00:46:59,800
Speaker 2: I as you heard in one of the previous episodes,

1059
00:46:59,840 --> 00:47:02,239
Speaker 2: it's like there's more friction than ever. And even with

1060
00:47:02,320 --> 00:47:05,799
Speaker 2: these companies they sell this dream, and LG, I think

1061
00:47:05,880 --> 00:47:07,759
Speaker 2: is one of the more guilty ones. They have all

1062
00:47:07,800 --> 00:47:10,000
Speaker 2: the apps in the world I think I have. I

1063
00:47:10,000 --> 00:47:11,560
Speaker 2: forget which washer I have, but I think I have

1064
00:47:11,600 --> 00:47:13,000
Speaker 2: an LG washer, And it's like there's an.

1065
00:47:12,880 --> 00:47:15,120
Speaker 3: A the best appliances. Yeah, butce is are good.

1066
00:47:15,120 --> 00:47:18,919
Speaker 2: But notice that there's never like they like those things,

1067
00:47:19,000 --> 00:47:21,320
Speaker 2: don't like the ways they change are just like clothes

1068
00:47:21,320 --> 00:47:22,600
Speaker 2: are more reliably clean.

1069
00:47:22,840 --> 00:47:23,040
Speaker 3: Yeap.

1070
00:47:23,560 --> 00:47:26,280
Speaker 2: The extensions from there have never worked because I feel

1071
00:47:26,320 --> 00:47:28,480
Speaker 2: like I've been to multiple ces is where there's been

1072
00:47:28,520 --> 00:47:31,440
Speaker 2: some form of demo where someone goes like, Elgae Intelligence,

1073
00:47:32,040 --> 00:47:34,760
Speaker 2: please please warm up my bagel I've already put it

1074
00:47:34,520 --> 00:47:37,439
Speaker 2: in the toaster of Michael. Yeah, it's already in there,

1075
00:47:37,560 --> 00:47:40,319
Speaker 2: and don't worry. I already emailed your wife. And it's

1076
00:47:40,440 --> 00:47:42,880
Speaker 2: like these things are meant like they've been promising this,

1077
00:47:43,000 --> 00:47:44,120
Speaker 2: but they don't fucking work.

1078
00:47:44,280 --> 00:47:46,480
Speaker 3: It's just it's just make believe. It's pure fantasy. But

1079
00:47:46,520 --> 00:47:48,919
Speaker 3: the thing about the friction thing which I've noticed since

1080
00:47:48,960 --> 00:47:51,520
Speaker 3: I've been I've been see us since twenty ten, and

1081
00:47:51,640 --> 00:47:53,720
Speaker 3: I've just had a four year gap because pandemic stuff

1082
00:47:53,719 --> 00:47:54,920
Speaker 3: and I had kids. I didn't want to leave my

1083
00:47:54,920 --> 00:47:55,959
Speaker 3: wife along with young kids.

1084
00:47:56,719 --> 00:47:58,879
Speaker 1: You mighttter have to explain why you didn't come.

1085
00:47:59,440 --> 00:48:01,480
Speaker 3: I got it. This is my duty.

1086
00:48:01,560 --> 00:48:05,120
Speaker 4: I should have to explain what you're twenty eight years Yeah,

1087
00:48:05,120 --> 00:48:08,840
Speaker 4: but the whole the rise will startup, the rise of startups.

1088
00:48:08,840 --> 00:48:11,120
Speaker 3: Of what Consumer Electronics has been trying to do for

1089
00:48:11,120 --> 00:48:13,160
Speaker 3: the past fifteen years is just to remove that friction.

1090
00:48:13,280 --> 00:48:16,080
Speaker 3: And I think we've only really started to realize you

1091
00:48:16,160 --> 00:48:19,800
Speaker 3: remove friction, you remove humanity. Yeah, and to a certain extent,

1092
00:48:19,880 --> 00:48:22,560
Speaker 3: we need we need, we need a little friction in

1093
00:48:22,560 --> 00:48:25,359
Speaker 3: our life with challenges, we growth challenges. But maybe it's

1094
00:48:25,400 --> 00:48:27,640
Speaker 3: better for you to like not have an automatically prepared

1095
00:48:27,640 --> 00:48:29,600
Speaker 3: cup of coffee when you walk into the kitchen. Maybe

1096
00:48:29,719 --> 00:48:32,600
Speaker 3: you should just go outside and like go to the neighborhood,

1097
00:48:32,640 --> 00:48:34,440
Speaker 3: catholicy and there are other things you can need.

1098
00:48:34,480 --> 00:48:36,799
Speaker 4: A consumer is not a person, right, and this is

1099
00:48:36,960 --> 00:48:39,360
Speaker 4: this is a key part of I think the quest

1100
00:48:39,360 --> 00:48:44,279
Speaker 4: to remove friction. A consumer is someone who is is

1101
00:48:44,480 --> 00:48:47,880
Speaker 4: anxious or eager to move from one transaction to the next,

1102
00:48:48,360 --> 00:48:51,760
Speaker 4: and any time in between those transactions, any time between

1103
00:48:51,800 --> 00:48:57,320
Speaker 4: transforming labor into some sort of productive and is wasted.

1104
00:48:57,800 --> 00:48:58,919
Speaker 1: And I think what it is.

1105
00:48:58,920 --> 00:49:02,799
Speaker 2: Is they all moving friction, just not for us, it's

1106
00:49:02,880 --> 00:49:04,240
Speaker 2: just between us and the purchase.

1107
00:49:04,560 --> 00:49:07,480
Speaker 1: Yeah, And that's again like sort of this brings us

1108
00:49:07,480 --> 00:49:09,960
Speaker 1: back to like the sort of the uncanny aspect of

1109
00:49:10,000 --> 00:49:13,160
Speaker 1: it in terms of being like, it's not necessarily making

1110
00:49:13,400 --> 00:49:16,080
Speaker 1: my life any easier. It is simply making it easier

1111
00:49:16,120 --> 00:49:18,400
Speaker 1: for me to like it's more transactive, right, Yeah, to

1112
00:49:18,520 --> 00:49:22,200
Speaker 1: like be productive and to consume more effectively or whatever.

1113
00:49:22,239 --> 00:49:24,319
Speaker 1: But it's not adding value in any way.

1114
00:49:24,480 --> 00:49:26,560
Speaker 4: Like I think about with these chatbots that are coming

1115
00:49:26,560 --> 00:49:29,080
Speaker 4: in for therapy, it's like, is the therapy that they're

1116
00:49:29,160 --> 00:49:30,399
Speaker 4: offering going to actually help?

1117
00:49:30,719 --> 00:49:30,799
Speaker 2: No?

1118
00:49:31,200 --> 00:49:31,880
Speaker 3: But now it's.

1119
00:49:31,760 --> 00:49:35,360
Speaker 4: Actually a more it's it's a more transparent and quantifiable market,

1120
00:49:35,680 --> 00:49:38,120
Speaker 4: so you can search out for whatever product you think

1121
00:49:38,200 --> 00:49:40,320
Speaker 4: is going to be a fit for your specific issue.

1122
00:49:40,680 --> 00:49:42,840
Speaker 4: Whether or not it's going to help you is another question,

1123
00:49:43,320 --> 00:49:44,880
Speaker 4: but you can find it and identify.

1124
00:49:45,040 --> 00:49:46,719
Speaker 3: It's one less human you have to deal with, yes,

1125
00:49:47,160 --> 00:49:49,600
Speaker 3: which is also the less humans. Like it's part of

1126
00:49:50,160 --> 00:49:52,520
Speaker 3: using apps instead of calling a restaurant or something.

1127
00:49:53,239 --> 00:49:55,640
Speaker 2: Yeah, I will fully admit like a mental health thing

1128
00:49:55,680 --> 00:49:58,759
Speaker 2: with me. I've loved that for years, and I found

1129
00:49:58,760 --> 00:50:01,879
Speaker 2: it because I got my various issues with anxiety, and

1130
00:50:02,120 --> 00:50:03,840
Speaker 2: we're not wanting to go outside and being scared of

1131
00:50:03,880 --> 00:50:06,880
Speaker 2: talking to people. Long story short, I got over that.

1132
00:50:07,280 --> 00:50:09,479
Speaker 2: But also there was a certain level of like, yeah,

1133
00:50:09,480 --> 00:50:12,120
Speaker 2: the Internet is really intense, just really good at selling

1134
00:50:12,200 --> 00:50:15,279
Speaker 2: you those abstractions between people so you can live a

1135
00:50:15,320 --> 00:50:17,040
Speaker 2: weird hermit life. And I absolutely didn't.

1136
00:50:17,080 --> 00:50:19,799
Speaker 3: And then you think society is you, and these technicals.

1137
00:50:19,480 --> 00:50:23,360
Speaker 2: Exactly become more exactly less experiences you don't grow like.

1138
00:50:23,680 --> 00:50:25,600
Speaker 3: And this is this is why I hate the stupid

1139
00:50:25,680 --> 00:50:27,640
Speaker 3: the Google thing where it'll call a restaurant and make

1140
00:50:27,640 --> 00:50:28,520
Speaker 3: a reservation.

1141
00:50:28,160 --> 00:50:29,840
Speaker 1: For I do like that for my accent.

1142
00:50:29,960 --> 00:50:32,920
Speaker 3: I hate it so much because it's like, what burden

1143
00:50:32,960 --> 00:50:35,640
Speaker 3: are you putting on this restaurant. It's like, oh, I'm busy,

1144
00:50:35,840 --> 00:50:39,200
Speaker 3: Like I'm dealing with real customers, real reservations, this fucking robot.

1145
00:50:40,080 --> 00:50:45,400
Speaker 2: I will argue my accent and when I call and

1146
00:50:45,440 --> 00:50:49,520
Speaker 2: I have to spell xron or even just like my numbers.

1147
00:50:49,920 --> 00:50:51,960
Speaker 2: So many people don't understand it. I've had to like.

1148
00:50:51,960 --> 00:50:56,200
Speaker 1: Because you're like, Z I T I sound exactly.

1149
00:50:58,840 --> 00:51:01,480
Speaker 2: I have to americanize my accent to a certain extent.

1150
00:51:02,480 --> 00:51:07,960
Speaker 3: That yeah, But also in that case, an app way too,

1151
00:51:08,120 --> 00:51:10,280
Speaker 3: like a thing that actually makes life better for a restaurant,

1152
00:51:10,400 --> 00:51:13,520
Speaker 3: Hey just log this reservation please, yeah, rather than that's

1153
00:51:13,560 --> 00:51:15,240
Speaker 3: a case where you don't need to call the manager

1154
00:51:15,239 --> 00:51:17,359
Speaker 3: of the restaurant to like do all this stuff. And

1155
00:51:17,360 --> 00:51:19,439
Speaker 3: that's a case where an app based thing could be better.

1156
00:51:19,719 --> 00:51:22,320
Speaker 3: But now we're abstracting to the point where a robot

1157
00:51:22,400 --> 00:51:24,920
Speaker 3: is calling a number and talking to this human. The

1158
00:51:25,000 --> 00:51:26,879
Speaker 3: human does not know it's a robot talking to them.

1159
00:51:27,040 --> 00:51:30,799
Speaker 3: Then they're expecting conversations confusing for them. I hate that

1160
00:51:30,840 --> 00:51:32,040
Speaker 3: whole thing because as a.

1161
00:51:32,040 --> 00:51:35,040
Speaker 1: User, and this is something that's been like a recurring

1162
00:51:35,080 --> 00:51:37,439
Speaker 1: theme in the conversations that that I've been a part

1163
00:51:37,480 --> 00:51:40,000
Speaker 1: of for this where it's like they invented a solution

1164
00:51:40,280 --> 00:51:43,319
Speaker 1: to like a pretty minor problem and now are sort

1165
00:51:43,360 --> 00:51:44,319
Speaker 1: of like, I mean not to.

1166
00:51:44,520 --> 00:51:46,000
Speaker 3: No, no, no, living experience whatever.

1167
00:51:46,080 --> 00:51:49,160
Speaker 2: Also mine is like minor in comparison to like.

1168
00:51:49,680 --> 00:51:51,640
Speaker 1: But yes, and so in this case, it's like there's

1169
00:51:51,680 --> 00:51:54,759
Speaker 1: a you know something like that. It can't be easy, right,

1170
00:51:54,840 --> 00:51:57,440
Speaker 1: I mean, like that's there's a lot of moving parts. Mean,

1171
00:51:57,440 --> 00:51:59,440
Speaker 1: I don't understand any of them, but it does feel

1172
00:51:59,440 --> 00:52:03,920
Speaker 1: like the sort of thing where that is a in

1173
00:52:04,160 --> 00:52:07,200
Speaker 1: its way, you know, like an impressive achievement, and yet

1174
00:52:07,200 --> 00:52:09,719
Speaker 1: at the same time, and this is the real recurring part,

1175
00:52:10,080 --> 00:52:14,520
Speaker 1: like it's a very labor intensive, presumably very expensive solution

1176
00:52:14,719 --> 00:52:19,279
Speaker 1: to a problem that like probably is more urgent for

1177
00:52:19,480 --> 00:52:22,759
Speaker 1: like a like somebody who doesn't have anything else to

1178
00:52:22,800 --> 00:52:26,080
Speaker 1: worry about, but making restaurant reserations, yeah, you know, and

1179
00:52:26,480 --> 00:52:29,000
Speaker 1: ditto for the idea of being like a robot makes

1180
00:52:29,040 --> 00:52:30,960
Speaker 1: your coffee for you, a robot picks here or whatever,

1181
00:52:31,040 --> 00:52:34,040
Speaker 1: like some speaking, the computer intelligence it takes your clothes,

1182
00:52:34,080 --> 00:52:34,719
Speaker 1: makes your food.

1183
00:52:34,800 --> 00:52:37,800
Speaker 2: Because Cory doctor I made this point last year on

1184
00:52:37,840 --> 00:52:40,720
Speaker 2: the podcast. He said that algorithms are inherently conservative. They

1185
00:52:40,760 --> 00:52:46,240
Speaker 2: move people towards the norm that is actually culturally dangerous.

1186
00:52:46,280 --> 00:52:49,680
Speaker 2: I think it will eradicate people of Calais, or eradicate

1187
00:52:49,760 --> 00:52:52,279
Speaker 2: culture that made America and made many countries the way

1188
00:52:52,320 --> 00:52:54,480
Speaker 2: they are. And something that you're seeing on a much

1189
00:52:54,640 --> 00:52:57,160
Speaker 2: well not necessarily a small scale, with social media, with

1190
00:52:57,200 --> 00:53:00,440
Speaker 2: what's popular, what's popular on TikTok, the infant int of

1191
00:53:00,480 --> 00:53:03,000
Speaker 2: that when you add in the algorithmic side. Not that

1192
00:53:03,040 --> 00:53:04,879
Speaker 2: I think that any of these bullshit's part. I don't

1193
00:53:04,880 --> 00:53:06,640
Speaker 2: think they'll ever have a thing that picks your outfit

1194
00:53:06,680 --> 00:53:09,960
Speaker 2: for you. But if they ever do that is slightly

1195
00:53:10,320 --> 00:53:12,640
Speaker 2: like there is something kind of darker about.

1196
00:53:12,480 --> 00:53:15,759
Speaker 1: Right, because every I mean like everybody's gonna wind up

1197
00:53:15,840 --> 00:53:16,479
Speaker 1: dressing the same.

1198
00:53:16,640 --> 00:53:19,360
Speaker 2: Yeah, like that's exactly and that's presumably I guess on

1199
00:53:19,400 --> 00:53:22,160
Speaker 2: the training data that it's given, which will probably lean

1200
00:53:22,280 --> 00:53:23,160
Speaker 2: more white. Right.

1201
00:53:23,200 --> 00:53:24,600
Speaker 1: But this is also like one of those things where

1202
00:53:24,600 --> 00:53:28,399
Speaker 1: there's like this is again like a very labor intensive solution. Yeah. Problem,

1203
00:53:28,480 --> 00:53:30,239
Speaker 1: they're really breaking the back of it. Like if you're

1204
00:53:30,280 --> 00:53:32,560
Speaker 1: somebody that just has like sometimes you got stripes and

1205
00:53:32,640 --> 00:53:35,359
Speaker 1: plaids on, like you can fix that, Like someone could

1206
00:53:35,400 --> 00:53:36,399
Speaker 1: just tell you that that doesn't work.

1207
00:53:36,400 --> 00:53:38,200
Speaker 3: You can learn that lesson once in your life and

1208
00:53:38,320 --> 00:53:41,040
Speaker 3: apply it moving forward. Yes, yes, I'm still waiting for

1209
00:53:41,080 --> 00:53:43,319
Speaker 3: them to like, hey, there are homes. I think most

1210
00:53:43,320 --> 00:53:45,399
Speaker 3: home tech is like kind of garbage even No, yes,

1211
00:53:45,440 --> 00:53:48,120
Speaker 3: I also there's a sale in the LG fridges with

1212
00:53:48,160 --> 00:53:50,120
Speaker 3: the little windows, and I got an LG fridge with

1213
00:53:50,160 --> 00:53:53,840
Speaker 3: the window because it looks cool. Yeah you know, you

1214
00:53:53,920 --> 00:53:55,799
Speaker 3: knock on it. You have like double doors whatever, great

1215
00:53:55,840 --> 00:53:59,239
Speaker 3: for kids snacks, but I spend an hour every night

1216
00:53:59,560 --> 00:54:03,680
Speaker 3: cleaning my kitchen and I hate it, Like every single night.

1217
00:54:03,719 --> 00:54:06,200
Speaker 3: It's like, Okay, give me yes, Rosie of the robot,

1218
00:54:06,239 --> 00:54:08,840
Speaker 3: forget these companion robots. Yes, give me a robots to

1219
00:54:08,920 --> 00:54:11,200
Speaker 3: do the things that really suck in our lives. And

1220
00:54:11,239 --> 00:54:13,399
Speaker 3: I think open gives you more time to be with your.

1221
00:54:13,280 --> 00:54:14,680
Speaker 1: Family and a few other things.

1222
00:54:15,200 --> 00:54:17,759
Speaker 3: That possibility is still there, but nobody. Nobody's doing that

1223
00:54:17,760 --> 00:54:19,480
Speaker 3: because alg is just like, hey, I wanna yeah, I

1224
00:54:19,480 --> 00:54:22,320
Speaker 3: want to control your life rather than do the simple

1225
00:54:22,320 --> 00:54:23,120
Speaker 3: task that nobody likes.

1226
00:54:23,239 --> 00:54:25,680
Speaker 2: Also, there's something quite joyful about when you're like, it

1227
00:54:25,719 --> 00:54:27,839
Speaker 2: took me into like the last end of last year

1228
00:54:27,960 --> 00:54:31,080
Speaker 2: to really enjoy dressing myself, and there's something fun about it.

1229
00:54:31,160 --> 00:54:34,920
Speaker 2: It's a quote Derek Guya, clothing is like social language.

1230
00:54:35,120 --> 00:54:37,440
Speaker 2: Forgive me, I have a misquote you, Derek. It's like

1231
00:54:37,520 --> 00:54:39,600
Speaker 2: there's something about it and it takes a while before

1232
00:54:39,600 --> 00:54:41,920
Speaker 2: you work it out. You feel very self conscious. I

1233
00:54:41,960 --> 00:54:45,880
Speaker 2: don't think an AI telling you what to wear fixes

1234
00:54:45,920 --> 00:54:49,040
Speaker 2: that problem. It's just hey, do this, so we have

1235
00:54:49,200 --> 00:54:50,319
Speaker 2: decided what looks good.

1236
00:54:50,960 --> 00:54:53,279
Speaker 3: There's always in between, right, you don't have to be

1237
00:54:53,400 --> 00:54:55,799
Speaker 3: like that. Maybe we don't need any dictator, but hey,

1238
00:54:56,080 --> 00:54:58,880
Speaker 3: you have these clothes, just try try this, try this,

1239
00:54:58,920 --> 00:55:01,120
Speaker 3: And actually I think you be look at like having

1240
00:55:01,120 --> 00:55:02,960
Speaker 3: a friend who's supportive to be like, hey, try this.

1241
00:55:03,040 --> 00:55:04,239
Speaker 3: I know you don't know how to wear it, but

1242
00:55:04,640 --> 00:55:05,480
Speaker 3: maybe it would look good.

1243
00:55:05,520 --> 00:55:07,960
Speaker 1: That's that's an important distinction, I think because.

1244
00:55:08,239 --> 00:55:09,840
Speaker 2: To mac Levine, by the way, he does that for

1245
00:55:09,920 --> 00:55:11,799
Speaker 2: me on text, very nice. Yeah.

1246
00:55:12,120 --> 00:55:13,920
Speaker 1: I was talking to Philip before when you guys were

1247
00:55:13,920 --> 00:55:17,279
Speaker 1: recording black A about his experience with Pandora, which I

1248
00:55:17,280 --> 00:55:20,719
Speaker 1: didn't use, but was always the one that like my friends,

1249
00:55:21,280 --> 00:55:23,480
Speaker 1: and he was sort of explaining what it was like

1250
00:55:23,640 --> 00:55:26,799
Speaker 1: as it got worse, like how did I'm talking about you, dude,

1251
00:55:26,800 --> 00:55:30,600
Speaker 1: Philip walking there the like? Basically that was a sort

1252
00:55:30,640 --> 00:55:34,719
Speaker 1: of like of all the sort of algorithmic musical recommendation

1253
00:55:35,120 --> 00:55:37,160
Speaker 1: applications that have existed, that's the one that I think

1254
00:55:37,239 --> 00:55:41,080
Speaker 1: anybody ever had good feelings about. Like Spotify is easy

1255
00:55:41,120 --> 00:55:43,840
Speaker 1: to use, but I don't think anybody but is it good? No? Right,

1256
00:55:43,880 --> 00:55:45,759
Speaker 1: And I don't think anybody's like I love Spotify.

1257
00:55:45,800 --> 00:55:47,920
Speaker 3: It's like I think of it as the early on

1258
00:55:47,960 --> 00:55:51,960
Speaker 3: when Spotify, when the Europeans only had Spotify, they lorded

1259
00:55:52,040 --> 00:55:58,040
Speaker 3: that Americans can't stream music.

1260
00:55:57,760 --> 00:55:59,439
Speaker 1: And it was just yea, all right, so that makes sense,

1261
00:55:59,440 --> 00:56:02,560
Speaker 1: like the convenience aspect of it. So what Pandora did

1262
00:56:02,640 --> 00:56:05,279
Speaker 1: was like basically like you would and maybe you can

1263
00:56:05,360 --> 00:56:07,120
Speaker 1: even just grab the mic and talk about it because

1264
00:56:07,320 --> 00:56:09,360
Speaker 1: actually understands how this stuff works. But I thought this

1265
00:56:09,440 --> 00:56:11,759
Speaker 1: was interesting in terms of how it got worse, is

1266
00:56:11,800 --> 00:56:12,520
Speaker 1: what I was saying on.

1267
00:56:12,600 --> 00:56:14,239
Speaker 3: Us, all right.

1268
00:56:14,600 --> 00:56:17,480
Speaker 7: So the exciting thing for Pandora for me was the

1269
00:56:17,520 --> 00:56:23,200
Speaker 7: seating where it was actually looking for a flavor of

1270
00:56:23,239 --> 00:56:25,640
Speaker 7: what you were interested, looking for the sound you're after,

1271
00:56:25,800 --> 00:56:29,640
Speaker 7: not oh, you like rockabilly, let me give you an

1272
00:56:29,800 --> 00:56:33,279
Speaker 7: entire catalog of rockabilly. It would ask you for what

1273
00:56:33,400 --> 00:56:37,560
Speaker 7: is your inspiration point? And the best inspiration point I

1274
00:56:37,600 --> 00:56:44,280
Speaker 7: gave it was Tom Waite's black Hole Sun Pink Floyd's Echoes. Okay,

1275
00:56:44,440 --> 00:56:48,320
Speaker 7: so to deeply confuse the algorithm forever.

1276
00:56:48,200 --> 00:56:50,880
Speaker 2: For go ahead, doctor Jones, try to.

1277
00:56:50,880 --> 00:56:53,240
Speaker 3: Figure out what to give me for that. And it did.

1278
00:56:54,120 --> 00:56:57,200
Speaker 7: But my goal behind that was and what Pandora did

1279
00:56:57,200 --> 00:57:01,520
Speaker 7: a great job doing was fine things I'd never heard

1280
00:57:01,560 --> 00:57:04,399
Speaker 7: of that I might like that fit in that gap. Yeah,

1281
00:57:04,440 --> 00:57:06,200
Speaker 7: I found so many bands I'd never knew.

1282
00:57:06,160 --> 00:57:09,040
Speaker 2: I have found and something that will both age me

1283
00:57:09,080 --> 00:57:11,840
Speaker 2: and piss some people off. My favorite comment, I remember

1284
00:57:11,880 --> 00:57:14,000
Speaker 2: my Pandora experience. In was out in Penn State, and

1285
00:57:14,040 --> 00:57:15,360
Speaker 2: I put in like a bunch of bands, and I

1286
00:57:15,400 --> 00:57:19,000
Speaker 2: got Caven Bank called cave In. They did some called

1287
00:57:19,080 --> 00:57:21,720
Speaker 2: an Anchor I think it was off a bank of

1288
00:57:21,800 --> 00:57:24,440
Speaker 2: an album called Antenna. Just fucking up every word in

1289
00:57:24,480 --> 00:57:27,160
Speaker 2: that sentence, and I remember being like, this is so good.

1290
00:57:27,200 --> 00:57:27,360
Speaker 1: Now.

1291
00:57:27,360 --> 00:57:30,000
Speaker 2: The funny thing is that this is Caven's one alt

1292
00:57:30,080 --> 00:57:34,520
Speaker 2: rock album surrounded by hardcore music that was just impossible

1293
00:57:34,560 --> 00:57:38,080
Speaker 2: to listen to for me, And so I stopped using

1294
00:57:38,120 --> 00:57:40,480
Speaker 2: Pandora because every other cave In album and I listened

1295
00:57:40,480 --> 00:57:44,000
Speaker 2: to was completely insane for me, and I assumed that

1296
00:57:44,000 --> 00:57:47,040
Speaker 2: there were two cave Ins for years. Anyway, The point is,

1297
00:57:47,680 --> 00:57:51,000
Speaker 2: after this point, I have never had a recommended band

1298
00:57:51,080 --> 00:57:54,520
Speaker 2: on any system ever, not Spotify, Apple Music, anything that

1299
00:57:54,560 --> 00:57:55,960
Speaker 2: has ever made me feel anything.

1300
00:57:55,960 --> 00:57:57,120
Speaker 1: It's always been shit.

1301
00:57:57,480 --> 00:58:00,680
Speaker 2: Apple Music wants me to listen to in my hand

1302
00:58:00,720 --> 00:58:03,480
Speaker 2: by Sound good, whatever song I'm listening to. It's like

1303
00:58:03,960 --> 00:58:06,240
Speaker 2: you remember a pretty Noose by Sound, you have a

1304
00:58:06,240 --> 00:58:07,520
Speaker 2: black Hole sun by Sound.

1305
00:58:07,600 --> 00:58:12,640
Speaker 1: This shit, it's just so frustrating that you should say

1306
00:58:13,120 --> 00:58:14,840
Speaker 1: that was your experience, Like how it broke down.

1307
00:58:15,240 --> 00:58:18,320
Speaker 7: So where it broke down and Pandora itself fall apart

1308
00:58:18,440 --> 00:58:21,480
Speaker 7: is the seeds started bleeding into each other and it

1309
00:58:21,560 --> 00:58:26,280
Speaker 7: basically learned me better and better and stopped recommending anything new.

1310
00:58:28,000 --> 00:58:32,600
Speaker 7: I mean after after I had found the Dreadnoughts, which

1311
00:58:32,640 --> 00:58:34,880
Speaker 7: was a really great band, which then led me to

1312
00:58:35,800 --> 00:58:38,280
Speaker 7: a handful of other bands I'd never heard before. That

1313
00:58:38,320 --> 00:58:41,640
Speaker 7: was pretty much the last thing Pandora found free that

1314
00:58:41,760 --> 00:58:45,919
Speaker 7: was new and exciting. Since then, the closest I've come

1315
00:58:46,560 --> 00:58:52,080
Speaker 7: is SoundCloud. But SoundCloud does not work well for discovery

1316
00:58:52,560 --> 00:58:53,960
Speaker 7: for the findings for you.

1317
00:58:54,600 --> 00:58:56,520
Speaker 2: So as we wrap up the episode, Devendra, I know

1318
00:58:56,560 --> 00:58:57,840
Speaker 2: you have to go in a minute. I would like

1319
00:58:57,880 --> 00:59:00,480
Speaker 2: to know, is that anything that really like made smile

1320
00:59:00,600 --> 00:59:01,200
Speaker 2: shows anything?

1321
00:59:01,280 --> 00:59:03,360
Speaker 3: Well, yeah, I'll show it up that I like a computer,

1322
00:59:03,760 --> 00:59:07,280
Speaker 3: A simple a simple computer in the aces Zen book

1323
00:59:07,320 --> 00:59:11,080
Speaker 3: A fourteen. This thing it weighs under two point two pounds,

1324
00:59:11,440 --> 00:59:12,360
Speaker 3: and I hold this thing in.

1325
00:59:12,320 --> 00:59:13,360
Speaker 1: That it's a real computer.

1326
00:59:13,520 --> 00:59:14,720
Speaker 3: That's a real computer.

1327
00:59:14,800 --> 00:59:17,240
Speaker 1: It's less than a hardback book where we go.

1328
00:59:17,320 --> 00:59:19,880
Speaker 3: Half a pound less than a MacBook Air. And I'm like, ass,

1329
00:59:19,880 --> 00:59:22,280
Speaker 3: how did you do this? Because ASS is normally the

1330
00:59:22,280 --> 00:59:24,960
Speaker 3: company that's out there copying Apple basically, and I think

1331
00:59:24,960 --> 00:59:26,800
Speaker 3: they've gotten to the point where they've innovated. They do

1332
00:59:26,840 --> 00:59:28,560
Speaker 3: stuff like dual screen computers. I don't think those are

1333
00:59:28,600 --> 00:59:31,480
Speaker 3: as useful. This is just a simple, really really like

1334
00:59:31,520 --> 00:59:33,920
Speaker 3: computer has an old ed screen. Macbok Air doesn't have

1335
00:59:33,960 --> 00:59:36,640
Speaker 3: old it has ports. It has all got dam ports.

1336
00:59:36,640 --> 00:59:39,880
Speaker 3: You want USB, a USB, C HDMI in a thing

1337
00:59:40,000 --> 00:59:41,920
Speaker 3: smaller than the MacBook Air. It's like Apple, what is

1338
00:59:41,920 --> 00:59:42,400
Speaker 3: your excuse?

1339
00:59:42,440 --> 00:59:43,840
Speaker 2: What was the keyboard on it?

1340
00:59:43,840 --> 00:59:46,160
Speaker 3: It's not bad, It's not bad. Aces makes okay keyboards.

1341
00:59:46,200 --> 00:59:49,480
Speaker 3: That TAD is pretty good. Subscription model. Uh yeah, I

1342
00:59:49,520 --> 00:59:51,200
Speaker 3: think it's gonna be like twelve hundred like they don't

1343
00:59:51,280 --> 00:59:53,080
Speaker 3: it's Aces. They don't go too hard. But this is

1344
00:59:53,080 --> 00:59:55,880
Speaker 3: a snap Dragon CPU, so it has that thing where.

1345
00:59:55,680 --> 00:59:56,840
Speaker 2: It's what's the limitation.

1346
00:59:57,080 --> 00:59:59,720
Speaker 3: It's going to be emulating some older Windows apps we

1347
01:00:00,240 --> 01:00:02,240
Speaker 3: last year from what we saw on the surfaces, like,

1348
01:00:02,480 --> 01:00:04,320
Speaker 3: it's actually gotten better than it has been years. I

1349
01:00:04,320 --> 01:00:06,360
Speaker 3: think for most people it'd be fine. But man, a

1350
01:00:06,400 --> 01:00:09,160
Speaker 3: two point two pound computer just like a little laptop

1351
01:00:09,440 --> 01:00:12,280
Speaker 3: that is like basically feels like a tablet and can.

1352
01:00:12,160 --> 01:00:14,840
Speaker 2: Do everything you would. Did you write this up. I

1353
01:00:14,880 --> 01:00:17,480
Speaker 2: wrote it up. It's up there right. Actually it's one

1354
01:00:17,520 --> 01:00:20,480
Speaker 2: of our Best of CS Awards. Oh yeah, okay, wellcome

1355
01:00:20,520 --> 01:00:21,400
Speaker 2: people find you to Vendra.

1356
01:00:21,560 --> 01:00:24,040
Speaker 3: Yeah, I'm at Devendra on you know, Blue Sky and

1357
01:00:24,040 --> 01:00:26,760
Speaker 3: all the fun places at the Filmcast at the filmcast

1358
01:00:26,800 --> 01:00:28,840
Speaker 3: dot com or a podcast about movies and TV and

1359
01:00:29,240 --> 01:00:30,640
Speaker 3: Gadget and the Gadget Podcast.

1360
01:00:30,680 --> 01:00:32,200
Speaker 2: Check me out there, lovely. David.

1361
01:00:32,600 --> 01:00:35,360
Speaker 1: Defector dot Com is the website. The Distraction is the

1362
01:00:35,400 --> 01:00:38,480
Speaker 1: Defector podcast. There's a Hallmark movie podcast. I'm mentioning it

1363
01:00:38,560 --> 01:00:41,760
Speaker 1: every other time. So this is called It's Christmas Town.

1364
01:00:41,760 --> 01:00:44,360
Speaker 1: Thank you. And uh yeah, I'm David j Roth on.

1365
01:00:46,440 --> 01:00:48,240
Speaker 3: This Machine Kills is my podcast.

1366
01:00:49,040 --> 01:00:51,680
Speaker 4: The tech Bubble dot Substack dot com is my newsletter,

1367
01:00:52,080 --> 01:00:55,240
Speaker 4: Big black Jack to beIN on x the Everything site,

1368
01:00:55,280 --> 01:00:58,040
Speaker 4: and Blue Sky is where I live online.

1369
01:00:58,600 --> 01:01:02,360
Speaker 2: You can find me on Google type in what happened

1370
01:01:02,400 --> 01:01:06,000
Speaker 2: to Google search? Or who is Prabagar Ragavan? And I

1371
01:01:06,040 --> 01:01:09,040
Speaker 2: should pop up now after I stopped speaking, you must

1372
01:01:09,120 --> 01:01:13,640
Speaker 2: start purchasing. You are a consumer, As Ed said, follow

1373
01:01:14,240 --> 01:01:17,920
Speaker 2: this by consuming what's next, don't think, especially if it's

1374
01:01:17,920 --> 01:01:35,880
Speaker 2: one of the ones that embarrasses me. And we're back

1375
01:01:36,320 --> 01:01:38,760
Speaker 2: and now we are joined by mister Phillip Broughton, the

1376
01:01:38,800 --> 01:01:40,760
Speaker 2: health physicists that we know and love that has been

1377
01:01:40,760 --> 01:01:41,840
Speaker 2: giving us drinks all the time.

1378
01:01:41,880 --> 01:01:42,439
Speaker 1: Hating film.

1379
01:01:43,560 --> 01:01:46,680
Speaker 2: I think it's funny though, that story about Pandora and

1380
01:01:46,720 --> 01:01:50,840
Speaker 2: this recommendation system that used to work but doesn't yet

1381
01:01:50,840 --> 01:01:54,560
Speaker 2: the company seems to still. It feels symbolic of everything.

1382
01:01:54,560 --> 01:01:56,560
Speaker 2: It feels like everything's just kind of slowed down, and

1383
01:01:56,600 --> 01:02:00,640
Speaker 2: even CS doesn't even seem that willing to convinces anymore

1384
01:02:00,640 --> 01:02:03,840
Speaker 2: that based on everything you guys at David have seen,

1385
01:02:03,880 --> 01:02:05,480
Speaker 2: it feels like there's a lot of just this is

1386
01:02:05,520 --> 01:02:08,600
Speaker 2: what you want, rather than hey, we're fucking selling you something, right.

1387
01:02:09,000 --> 01:02:11,919
Speaker 1: Yeah, it's interesting, right? Does that sound about right to you?

1388
01:02:12,000 --> 01:02:12,240
Speaker 3: Yeah?

1389
01:02:12,400 --> 01:02:14,320
Speaker 2: You know I and if I'm wrong, please correct me.

1390
01:02:14,360 --> 01:02:17,280
Speaker 4: And I also think i've you know, today, I tried

1391
01:02:17,320 --> 01:02:21,360
Speaker 4: to shift gears and instead be like, okay, let's pretend

1392
01:02:22,520 --> 01:02:24,480
Speaker 4: the things I'm coming into.

1393
01:02:24,320 --> 01:02:26,280
Speaker 3: Are like for a real person.

1394
01:02:26,120 --> 01:02:29,400
Speaker 4: Right sent and kind of falling into like a drain

1395
01:02:29,480 --> 01:02:31,880
Speaker 4: around the smart home stuff and being like I'm not

1396
01:02:32,560 --> 01:02:35,160
Speaker 4: and most human beings are not the target audience for

1397
01:02:35,240 --> 01:02:37,320
Speaker 4: this in a way that feels like a like a

1398
01:02:37,320 --> 01:02:39,080
Speaker 4: snake eating its own tail. I mean, like, you know,

1399
01:02:39,120 --> 01:02:41,880
Speaker 4: I went to a lot of the uh there's a

1400
01:02:41,920 --> 01:02:45,000
Speaker 4: section that's pretty much just like how to build your

1401
01:02:45,040 --> 01:02:47,680
Speaker 4: own power grid, you know, for your own home or

1402
01:02:47,720 --> 01:02:49,840
Speaker 4: if you're going camping and you can't be offline.

1403
01:02:49,880 --> 01:02:54,920
Speaker 1: Oh yeah, the anchor is yes, anchor slow to me,

1404
01:02:55,520 --> 01:02:56,560
Speaker 1: but yeah, going on.

1405
01:02:56,600 --> 01:02:58,560
Speaker 4: No, I mean it's like it's like it is fascinating

1406
01:02:58,600 --> 01:03:02,320
Speaker 4: that you're able to literally power the equivalent of like

1407
01:03:02,400 --> 01:03:05,360
Speaker 4: a home out in the woods. But then it raises

1408
01:03:05,360 --> 01:03:07,840
Speaker 4: the question, especially with their marketing, where they're like, this

1409
01:03:07,920 --> 01:03:14,480
Speaker 4: is the sustainable way to be technologically progressive, and it's

1410
01:03:14,520 --> 01:03:17,200
Speaker 4: like what in the sustainable way to be like maybe

1411
01:03:17,240 --> 01:03:20,600
Speaker 4: we don't consume even more in some spaces and so

1412
01:03:20,640 --> 01:03:23,120
Speaker 4: stuff like that is really interesting to me paying attention

1413
01:03:23,160 --> 01:03:25,440
Speaker 4: to advertising being like oh okay, like they're they're for

1414
01:03:25,600 --> 01:03:28,320
Speaker 4: like homes that are built like crips and mausoleums, like

1415
01:03:28,440 --> 01:03:33,800
Speaker 4: just massive empty spaces filled with nothing other than consumer electronics.

1416
01:03:35,440 --> 01:03:38,640
Speaker 4: And you know, yeah, I mean, you know, for a

1417
01:03:38,680 --> 01:03:40,920
Speaker 4: lot of people at this conference, it is and I

1418
01:03:40,920 --> 01:03:44,240
Speaker 4: think that's been like important in constructing a better sense

1419
01:03:44,280 --> 01:03:45,880
Speaker 4: of like who a lot of these things are for

1420
01:03:46,160 --> 01:03:50,160
Speaker 4: beyond investors. Seeing like, Okay, there are things that consumers

1421
01:03:50,200 --> 01:03:52,960
Speaker 4: who might not normally have something like this be interested in.

1422
01:03:53,040 --> 01:03:55,280
Speaker 4: But they're also I think the other day we're talking

1423
01:03:55,280 --> 01:03:57,880
Speaker 4: about status symbols, and it's like, one, what other way

1424
01:03:57,920 --> 01:04:00,560
Speaker 4: to kind of also signal that flag and to be

1425
01:04:00,600 --> 01:04:02,680
Speaker 4: able to go out in an RV in the middle

1426
01:04:02,680 --> 01:04:05,680
Speaker 4: of the woods and still have the equivalent.

1427
01:04:05,200 --> 01:04:05,800
Speaker 3: Of a house.

1428
01:04:06,000 --> 01:04:08,320
Speaker 2: Yeah, and there's some of these people who just to

1429
01:04:08,320 --> 01:04:09,880
Speaker 2: be clear, there are plenty of people who go camping

1430
01:04:09,920 --> 01:04:11,560
Speaker 2: and do that, and it's like, I want to power

1431
01:04:11,680 --> 01:04:14,240
Speaker 2: a grill. I want to I want to power this,

1432
01:04:14,440 --> 01:04:16,680
Speaker 2: but it's not like you don't need six watts.

1433
01:04:17,120 --> 01:04:22,240
Speaker 7: Yeah, reactor, that's what I'm surprised no one's trying to sell.

1434
01:04:22,360 --> 01:04:23,680
Speaker 1: That was the thought that I had looking into that

1435
01:04:23,720 --> 01:04:25,320
Speaker 1: stuff too, because there's a part of me that's like, oh,

1436
01:04:25,360 --> 01:04:28,280
Speaker 1: that's cool. You couldn't do that, you know, like whatever,

1437
01:04:28,320 --> 01:04:30,600
Speaker 1: five ten years ago, and then to see like, I

1438
01:04:30,600 --> 01:04:31,880
Speaker 1: guess this is the sort of thing where it's like

1439
01:04:31,920 --> 01:04:34,600
Speaker 1: you find this solution to I mean, it's not a

1440
01:04:34,640 --> 01:04:37,040
Speaker 1: super pressing problem, but it's a it's a solution, like

1441
01:04:37,080 --> 01:04:39,160
Speaker 1: you went from a thing that didn't work to a

1442
01:04:39,160 --> 01:04:40,880
Speaker 1: thing that does work. But then all you can do

1443
01:04:41,000 --> 01:04:43,439
Speaker 1: is like make it bigger. Yeah, like that's the only

1444
01:04:43,520 --> 01:04:45,080
Speaker 1: solution is just sort of like yeah, now it's like

1445
01:04:45,120 --> 01:04:48,120
Speaker 1: six thousand watts. Now you could like have like basically

1446
01:04:48,200 --> 01:04:50,080
Speaker 1: like a Red Rocks performance.

1447
01:04:51,800 --> 01:04:54,600
Speaker 2: I have an anchor charger on. Make sure because like

1448
01:04:54,640 --> 01:04:56,720
Speaker 2: all of the dense charges are really cool. Because the

1449
01:04:56,720 --> 01:04:59,480
Speaker 2: gallium nitrate stuff, which Phil I will have you explain

1450
01:04:59,520 --> 01:04:59,880
Speaker 2: in the moment.

1451
01:05:00,000 --> 01:05:03,680
Speaker 7: I know you want what that means. Either it batteries,

1452
01:05:04,080 --> 01:05:05,200
Speaker 7: it has a battery at.

1453
01:05:05,080 --> 01:05:07,360
Speaker 2: You, I will explain Gallium nitre is a thing where

1454
01:05:07,800 --> 01:05:09,560
Speaker 2: I don't know the science stuff, and I assume the

1455
01:05:09,680 --> 01:05:10,920
Speaker 2: flipping science guy might.

1456
01:05:11,960 --> 01:05:14,160
Speaker 1: Now I'm f it's really more of a mortimer. If

1457
01:05:14,160 --> 01:05:14,880
Speaker 1: you think about it.

1458
01:05:14,960 --> 01:05:16,960
Speaker 3: You should. You should riff tell us what you think.

1459
01:05:17,920 --> 01:05:19,840
Speaker 2: I can actually tell you what it does more than

1460
01:05:19,840 --> 01:05:24,000
Speaker 2: what I'm doing with the subject of this podcast. No,

1461
01:05:24,120 --> 01:05:27,280
Speaker 2: it's it basically allows them to make more powerful charges

1462
01:05:27,280 --> 01:05:29,760
Speaker 2: in the much smaller form, which has led to battery

1463
01:05:29,840 --> 01:05:32,080
Speaker 2: charges that can charge more powerfully and that much smaller,

1464
01:05:32,600 --> 01:05:34,440
Speaker 2: And it's really cool. But then you get to this

1465
01:05:34,480 --> 01:05:36,640
Speaker 2: stuff where it's like what if you had six hundred

1466
01:05:36,760 --> 01:05:39,160
Speaker 2: thousand m a h and you could power a house,

1467
01:05:39,600 --> 01:05:41,920
Speaker 2: and you could power your friend's house, you could live.

1468
01:05:42,080 --> 01:05:45,400
Speaker 2: Who is the what is the customer base there? Because

1469
01:05:45,400 --> 01:05:46,080
Speaker 2: it feels like at a.

1470
01:05:46,080 --> 01:05:48,520
Speaker 1: Certain point you don't you just don't need more. Yeah,

1471
01:05:48,560 --> 01:05:51,680
Speaker 1: that's the base thing. To Edward's point, I thought was

1472
01:05:51,720 --> 01:05:53,280
Speaker 1: really this was the thing that was very much on

1473
01:05:53,320 --> 01:05:55,680
Speaker 1: my mind looking at a lot of the smart home

1474
01:05:55,720 --> 01:05:59,640
Speaker 1: stuff was like, I think a lot of people. Let

1475
01:05:59,720 --> 01:06:01,040
Speaker 1: me not to say that this is like, you know,

1476
01:06:01,080 --> 01:06:03,960
Speaker 1: it's obviously it's elite stuff. This is like concept car shit.

1477
01:06:04,000 --> 01:06:06,080
Speaker 1: I don't think that. I don't know how many LG

1478
01:06:06,280 --> 01:06:08,760
Speaker 1: smart homes exist in the wild, but is it like

1479
01:06:08,880 --> 01:06:11,520
Speaker 1: is it a thousand, is it a hundred? You know,

1480
01:06:11,640 --> 01:06:16,800
Speaker 1: like but whatever, I think most people and maybe I can't,

1481
01:06:16,920 --> 01:06:19,960
Speaker 1: I don't actually know what most people's experiences don't have

1482
01:06:20,200 --> 01:06:25,400
Speaker 1: especially reliable wireless internet service. It's expensive, it's not very good.

1483
01:06:26,080 --> 01:06:28,360
Speaker 1: You know, the amount of like connectivity that would be

1484
01:06:28,400 --> 01:06:31,680
Speaker 1: required to make this like sort of all seeing robot

1485
01:06:31,720 --> 01:06:34,720
Speaker 1: that you know, helps you with every aspect of your life,

1486
01:06:34,760 --> 01:06:37,440
Speaker 1: like that would have to be reliable. Electricity isn't reliable.

1487
01:06:37,440 --> 01:06:39,160
Speaker 1: I mean it's like the thing where you know, obviously

1488
01:06:39,560 --> 01:06:41,320
Speaker 1: be like a bummer about this stuff, like if southern

1489
01:06:41,320 --> 01:06:44,280
Speaker 1: California is fucking on fire, like that's where I see

1490
01:06:44,320 --> 01:06:46,360
Speaker 1: a lot of these Mansas in my mind, you know,

1491
01:06:46,400 --> 01:06:48,680
Speaker 1: like these sort of like technologically like you were describing,

1492
01:06:48,720 --> 01:06:54,840
Speaker 1: like just basically like a vast stylish spare space with

1493
01:06:54,880 --> 01:06:59,800
Speaker 1: like perfect connectivity and yeah, technological things, yeah, basically right.

1494
01:07:00,000 --> 01:07:03,160
Speaker 3: But oh no, I was just gonna say, we live

1495
01:07:03,160 --> 01:07:03,600
Speaker 3: in New York.

1496
01:07:03,640 --> 01:07:03,800
Speaker 1: You know.

1497
01:07:03,800 --> 01:07:05,880
Speaker 4: It's like in New York, you know, we've had all

1498
01:07:05,880 --> 01:07:10,520
Speaker 4: these private public partnerships to expand connectivity, and have they

1499
01:07:10,560 --> 01:07:13,840
Speaker 4: done jack shit? I mean to the extent that, like you,

1500
01:07:13,840 --> 01:07:16,720
Speaker 4: you know, you to not until something else happens you

1501
01:07:16,720 --> 01:07:21,160
Speaker 4: realize how bad you have it and how much at

1502
01:07:21,160 --> 01:07:23,400
Speaker 4: the mercy of the firms you are to get any

1503
01:07:23,440 --> 01:07:24,440
Speaker 4: sort of fix going on.

1504
01:07:24,600 --> 01:07:24,920
Speaker 3: Right.

1505
01:07:25,400 --> 01:07:27,360
Speaker 7: So, the thing that comes to mind immediately as you're

1506
01:07:27,400 --> 01:07:33,160
Speaker 7: telling me about these ridiculous generators battery packs, there's generators

1507
01:07:33,200 --> 01:07:36,960
Speaker 7: substitutes is the experience of the most recent fires that

1508
01:07:37,040 --> 01:07:40,120
Speaker 7: happened in Santa Cruz. Now, since Los Angeles is in mind,

1509
01:07:40,640 --> 01:07:43,680
Speaker 7: has left PG and E service in the Santa Cruz

1510
01:07:43,720 --> 01:07:50,480
Speaker 7: Mountains deeply fractured and fragile. Right, So they offered to

1511
01:07:50,520 --> 01:07:52,680
Speaker 7: do power walls for a whole bunch of people because

1512
01:07:53,520 --> 01:07:56,120
Speaker 7: they said we can't promise you. We're not we're going

1513
01:07:56,200 --> 01:07:58,480
Speaker 7: to give you power, and that the power will be

1514
01:07:58,680 --> 01:08:03,520
Speaker 7: reliable and will be shutting you off regularly anytime the

1515
01:08:03,640 --> 01:08:08,040
Speaker 7: breeze so much as blows. So what these battery packs

1516
01:08:08,040 --> 01:08:11,960
Speaker 7: telled me is an admission of fragility. Yeah, we're I mean,

1517
01:08:12,160 --> 01:08:15,560
Speaker 7: that's kind of where we're approaching. Ye, but they're not

1518
01:08:15,640 --> 01:08:18,479
Speaker 7: selling it for that though. It seems like the marketing

1519
01:08:18,560 --> 01:08:19,720
Speaker 7: is still recreational.

1520
01:08:19,800 --> 01:08:22,720
Speaker 1: Yeah, I understand. I wonder next to because it's like

1521
01:08:22,760 --> 01:08:24,160
Speaker 1: a bummer to think about that.

1522
01:08:24,240 --> 01:08:26,760
Speaker 4: Yeah, this is CEO, but they're also selling it to

1523
01:08:26,760 --> 01:08:27,760
Speaker 4: an audience that is.

1524
01:08:27,720 --> 01:08:28,320
Speaker 3: Thinking about it.

1525
01:08:28,400 --> 01:08:30,799
Speaker 2: Sure, but I'm saying, though we're one year away.

1526
01:08:30,600 --> 01:08:32,800
Speaker 7: From Prepper has also come to mind. Yes, for off

1527
01:08:32,800 --> 01:08:33,360
Speaker 7: grid living.

1528
01:08:33,400 --> 01:08:35,599
Speaker 2: But I think there's gonna this is my one CES

1529
01:08:35,680 --> 01:08:38,880
Speaker 2: prediction for twenty twenty six Preppers. I think there's going

1530
01:08:38,920 --> 01:08:41,120
Speaker 2: to be more Prepper sales. The idea of being able

1531
01:08:41,120 --> 01:08:43,839
Speaker 2: to live off of grid, the idea of being able

1532
01:08:43,880 --> 01:08:47,080
Speaker 2: to not rely on the power grid, which.

1533
01:08:46,840 --> 01:08:50,160
Speaker 4: Some of the some of the marketing felt like a probe.

1534
01:08:50,160 --> 01:08:53,960
Speaker 4: There it was like explicitly on grid but also off grid. Yeah,

1535
01:08:53,960 --> 01:08:56,639
Speaker 4: and not just like RV living, but just if you

1536
01:08:56,760 --> 01:08:59,120
Speaker 4: for some reason happened to have a home that was

1537
01:08:59,439 --> 01:09:02,560
Speaker 4: off the grid needed to be powered, like it was

1538
01:09:02,600 --> 01:09:05,320
Speaker 4: a four bedroom apartment in the city, you know then.

1539
01:09:06,360 --> 01:09:08,639
Speaker 1: But that's definitely that is interesting too, because I could

1540
01:09:08,640 --> 01:09:10,880
Speaker 1: definitely see that sort of because I got that sense

1541
01:09:10,880 --> 01:09:13,559
Speaker 1: of it that there was this sort of like it's

1542
01:09:13,600 --> 01:09:17,519
Speaker 1: a non political version of the idea of being like

1543
01:09:17,640 --> 01:09:20,120
Speaker 1: fully self reliant, you know, like you could do whatever

1544
01:09:20,160 --> 01:09:22,360
Speaker 1: you want to do. You'll never be inconvenience because of

1545
01:09:22,400 --> 01:09:25,719
Speaker 1: this technology that you have. And yet like the next

1546
01:09:25,760 --> 01:09:28,280
Speaker 1: step from that, like the political version of that is

1547
01:09:28,520 --> 01:09:31,920
Speaker 1: like you will never be inconvenienced by whatever agents of

1548
01:09:31,960 --> 01:09:33,800
Speaker 1: the state, by the right heads, by the if the

1549
01:09:33,840 --> 01:09:37,519
Speaker 1: ATF is laying siege to your homestead or whatever, you

1550
01:09:37,520 --> 01:09:39,800
Speaker 1: know that Like, yeah, we'll have.

1551
01:09:39,760 --> 01:09:41,000
Speaker 2: Like classic in voter activity.

1552
01:09:41,080 --> 01:09:43,320
Speaker 3: Yeah, loud speakers will continue to warm them.

1553
01:09:43,439 --> 01:09:46,680
Speaker 1: Yes, get off your property, you are trespassing. I am

1554
01:09:46,680 --> 01:09:50,040
Speaker 1: a sovereign citizen. My name is LG. Sovereign citizen.

1555
01:09:51,600 --> 01:09:54,120
Speaker 2: But also it's gonna bronche off from that, I think

1556
01:09:54,120 --> 01:09:56,040
Speaker 2: in a year and be like disaster relief. It's going

1557
01:09:56,080 --> 01:09:59,639
Speaker 2: to be like, hey, when shit starts breaking. And this

1558
01:09:59,720 --> 01:10:01,920
Speaker 2: is both the political and andym like, this is something

1559
01:10:02,000 --> 01:10:04,519
Speaker 2: the American power grid, the AI think has been pushing,

1560
01:10:04,680 --> 01:10:07,840
Speaker 2: the AI Generative AI and the data centers associated have

1561
01:10:07,920 --> 01:10:10,400
Speaker 2: been pushing the grid to its spring right, it was

1562
01:10:10,479 --> 01:10:13,080
Speaker 2: already old as shit, and so we're in this weird

1563
01:10:13,120 --> 01:10:15,360
Speaker 2: thing where I'm just predicting this for next year. I

1564
01:10:15,360 --> 01:10:17,759
Speaker 2: bet they start marketing on that, and it's so dark

1565
01:10:18,080 --> 01:10:20,040
Speaker 2: like you can also that will definitely be the insane

1566
01:10:20,040 --> 01:10:21,120
Speaker 2: people sales as well.

1567
01:10:21,160 --> 01:10:23,760
Speaker 7: Like the it appears that every single one of the

1568
01:10:25,160 --> 01:10:29,120
Speaker 7: modular nuclear power startups that have cut popped up in

1569
01:10:29,120 --> 01:10:34,880
Speaker 7: the last decade, and you just fucking modular nuclear startups

1570
01:10:35,120 --> 01:10:37,040
Speaker 7: or care for that at all?

1571
01:10:37,280 --> 01:10:39,760
Speaker 3: Pocket sized reactors in.

1572
01:10:39,800 --> 01:10:42,000
Speaker 2: A seriousness, please spell out what those mean though.

1573
01:10:42,280 --> 01:10:46,280
Speaker 7: Okay, people are looking for sub gigawatt reactors that they

1574
01:10:46,320 --> 01:10:51,559
Speaker 7: can treat effectively as nuclear batteries. This is for to

1575
01:10:51,600 --> 01:10:54,160
Speaker 7: what end, so that you can go ahead and power

1576
01:10:54,680 --> 01:10:59,080
Speaker 7: just a neighborhood with your private nuclear reactor. Oh good,

1577
01:10:59,120 --> 01:11:02,280
Speaker 7: that belongs to you and the co op and you

1578
01:11:02,400 --> 01:11:07,439
Speaker 7: have nuclear power as a service. So nas where they

1579
01:11:07,479 --> 01:11:09,519
Speaker 7: will regularly come in and swap fuel out for you

1580
01:11:09,560 --> 01:11:13,960
Speaker 7: to keep your enclave perfectly powered, not on clay from fallout.

1581
01:11:14,000 --> 01:11:16,560
Speaker 7: That's a totally different thing.

1582
01:11:15,200 --> 01:11:19,439
Speaker 2: And I'm going to talk about something more evil hoas.

1583
01:11:19,960 --> 01:11:22,599
Speaker 7: That actually is the overwriting people who would be paying

1584
01:11:22,600 --> 01:11:25,160
Speaker 7: for it and administering it. So somehow with a license

1585
01:11:25,200 --> 01:11:29,479
Speaker 7: with the Nuclear Regulatory Commission in less and this hasn't

1586
01:11:29,479 --> 01:11:34,080
Speaker 7: happened yet, the Nuclear Regulator Commission wanted to generally license

1587
01:11:34,200 --> 01:11:38,639
Speaker 7: one of these pocket nuclear reactors, except all of them

1588
01:11:38,640 --> 01:11:41,720
Speaker 7: have pivoted off this idea to We're going to make

1589
01:11:41,760 --> 01:11:45,280
Speaker 7: the power that supplies to make crypto happen, or make

1590
01:11:45,320 --> 01:11:48,439
Speaker 7: your AI happen because the grid is not stable enough.

1591
01:11:48,520 --> 01:11:51,200
Speaker 2: All these react is real? Are there any of these

1592
01:11:51,240 --> 01:11:54,400
Speaker 2: actually out in or is this just marketing marketing?

1593
01:11:54,840 --> 01:11:55,839
Speaker 3: They do exist.

1594
01:11:56,120 --> 01:11:59,560
Speaker 7: We have built them before at experimental levels at the

1595
01:11:59,600 --> 01:12:04,120
Speaker 7: national labs and have never licensed them to be real.

1596
01:12:04,200 --> 01:12:05,400
Speaker 1: Can you imagine these dipships?

1597
01:12:05,400 --> 01:12:07,479
Speaker 2: You would actually buy one for an no enclave actually

1598
01:12:07,520 --> 01:12:10,200
Speaker 2: having a nuclear that that's actually in real districtive.

1599
01:12:10,479 --> 01:12:17,320
Speaker 1: Microsoft nuclearner is sending me so fucking just an unbelievably

1600
01:12:17,640 --> 01:12:19,080
Speaker 1: reverse concept.

1601
01:12:19,160 --> 01:12:21,639
Speaker 2: I'm not talking about that. I'm talking about No. Sorry,

1602
01:12:21,720 --> 01:12:23,719
Speaker 2: it is a perverse concept, you speacause I'm talking about

1603
01:12:23,720 --> 01:12:25,839
Speaker 2: like an HOA having one of these, and like judging

1604
01:12:25,840 --> 01:12:28,960
Speaker 2: by every hay I've ever seen, they would blow this

1605
01:12:29,000 --> 01:12:30,639
Speaker 2: thing up immediate.

1606
01:12:30,720 --> 01:12:32,400
Speaker 7: This is one of the hopes to get them to

1607
01:12:32,640 --> 01:12:35,600
Speaker 7: generally license so you can't touch it. It goes in

1608
01:12:35,640 --> 01:12:39,800
Speaker 7: the ground. Your nice service people from Microsoft Nuclear will

1609
01:12:39,840 --> 01:12:43,679
Speaker 7: show up and that that is a subscription I told

1610
01:12:43,720 --> 01:12:47,720
Speaker 7: you as that's that's how you get them find they

1611
01:12:47,760 --> 01:12:49,639
Speaker 7: will go ahead and do the spot for it. All

1612
01:12:49,680 --> 01:12:51,880
Speaker 7: you can do as part of your neighborhood is just

1613
01:12:52,000 --> 01:12:55,000
Speaker 7: hook into your local grid and that's.

1614
01:12:54,880 --> 01:12:57,559
Speaker 3: All you should do as a consumer. That is correct.

1615
01:12:58,240 --> 01:13:01,000
Speaker 1: Honestly, that's still like that again, hate it, want to

1616
01:13:01,000 --> 01:13:03,160
Speaker 1: be clear getting it on the record, don't approve that

1617
01:13:03,200 --> 01:13:05,559
Speaker 1: as a business. That said, it's still better than giving

1618
01:13:05,600 --> 01:13:09,040
Speaker 1: it to like the single most disagreeable and ambitious person

1619
01:13:09,080 --> 01:13:11,679
Speaker 1: in your neighborhood. Like just the idea of like whoever

1620
01:13:11,720 --> 01:13:15,360
Speaker 1: your h o A president is like I trust Microsoft

1621
01:13:15,439 --> 01:13:18,680
Speaker 1: Nuclear over like Stacey.

1622
01:13:18,400 --> 01:13:21,160
Speaker 7: Oh, you just made my asshole clench, But I don't

1623
01:13:21,280 --> 01:13:27,440
Speaker 7: like aout. The idea of being a health physicist, beholden

1624
01:13:27,520 --> 01:13:28,800
Speaker 7: to the head of the h oh.

1625
01:13:28,760 --> 01:13:32,519
Speaker 1: Yeah, yeah, just getting some super officious email and that's why.

1626
01:13:33,080 --> 01:13:34,719
Speaker 3: It sounds like fallout DLC.

1627
01:13:35,200 --> 01:13:39,639
Speaker 2: Yeah, this sounds like, yeah, this could be a really

1628
01:13:39,680 --> 01:13:40,240
Speaker 2: banging movie.

1629
01:13:40,240 --> 01:13:44,000
Speaker 1: But those are like isn't that like Mission Impossible three?

1630
01:13:44,040 --> 01:13:45,479
Speaker 1: Like suitcase nuke like that?

1631
01:13:45,320 --> 01:13:48,600
Speaker 2: Thinking just like a like a country wide blackout or

1632
01:13:48,600 --> 01:13:50,040
Speaker 2: something just to you like do a day.

1633
01:13:54,920 --> 01:13:58,760
Speaker 4: Uh uh, pitch the family that runs the Bond thing

1634
01:13:58,880 --> 01:14:00,639
Speaker 4: because they don't want to touch it with Amazon.

1635
01:14:00,680 --> 01:14:05,080
Speaker 2: This James Bond idiots. You ever had a James Bond

1636
01:14:05,120 --> 01:14:08,400
Speaker 2: occasionally smokes weed? Yeah, I'm kind.

1637
01:14:08,200 --> 01:14:12,000
Speaker 1: Of lazy because Bond. What if?

1638
01:14:12,280 --> 01:14:14,840
Speaker 2: What if? James Bond smoked weed is probably the first

1639
01:14:15,000 --> 01:14:17,280
Speaker 2: real podcast idea show.

1640
01:14:18,080 --> 01:14:20,120
Speaker 1: Just like I need.

1641
01:14:20,040 --> 01:14:22,400
Speaker 3: Another good Indiegogo project.

1642
01:14:22,479 --> 01:14:25,200
Speaker 4: You're back two of the movie Candy Flips and it's

1643
01:14:25,240 --> 01:14:26,080
Speaker 4: to his detriment.

1644
01:14:26,120 --> 01:14:28,160
Speaker 3: They use it to kidnap his love and money.

1645
01:14:28,200 --> 01:14:29,800
Speaker 1: Patty, this is a sativa.

1646
01:14:30,960 --> 01:14:31,280
Speaker 3: Anyway.

1647
01:14:31,320 --> 01:14:32,519
Speaker 2: Please let's talk about tech again.

1648
01:14:33,160 --> 01:14:35,120
Speaker 3: That is weed is.

1649
01:14:35,040 --> 01:14:36,280
Speaker 2: Not tech, but.

1650
01:14:37,920 --> 01:14:40,280
Speaker 1: Together that's innovative.

1651
01:14:41,320 --> 01:14:43,599
Speaker 2: Yeah, there is the weed innovation here. If you hear

1652
01:14:43,640 --> 01:14:46,040
Speaker 2: about this email me at easy at that offline dot com.

1653
01:14:46,080 --> 01:14:48,200
Speaker 2: I want to hear about that experience today.

1654
01:14:48,240 --> 01:14:50,200
Speaker 1: I know you all talked about it yesterday, But when

1655
01:14:50,200 --> 01:14:52,599
Speaker 1: I was getting off the bus from the convention center,

1656
01:14:52,880 --> 01:14:56,320
Speaker 1: I discovered a whole other floor under the floor at

1657
01:14:56,360 --> 01:15:01,880
Speaker 1: the Venetian that the people the Eureka Zone whatever yesterday,

1658
01:15:01,880 --> 01:15:03,680
Speaker 1: which is basically just somebody.

1659
01:15:03,560 --> 01:15:05,559
Speaker 7: Where you want tech tech.

1660
01:15:05,720 --> 01:15:08,559
Speaker 1: Yeah, but it's also apparently that is the one where

1661
01:15:08,600 --> 01:15:10,679
Speaker 1: it's just like if you can fit in the room,

1662
01:15:10,680 --> 01:15:12,960
Speaker 1: they'll let you hang out. Yeah. I guess it's like whatever,

1663
01:15:13,000 --> 01:15:14,720
Speaker 1: So I'm gonna go down there and check that shit

1664
01:15:14,760 --> 01:15:15,439
Speaker 1: out either tomorrow.

1665
01:15:15,479 --> 01:15:17,160
Speaker 7: I expect there will be a laser bong for you

1666
01:15:17,200 --> 01:15:17,439
Speaker 7: to see.

1667
01:15:17,520 --> 01:15:20,760
Speaker 1: Yes, that's where the like the weed tech is being

1668
01:15:21,000 --> 01:15:21,200
Speaker 1: you know.

1669
01:15:21,439 --> 01:15:23,320
Speaker 2: The funny thing is is with weed tech, not saying

1670
01:15:23,360 --> 01:15:26,040
Speaker 2: I smoke it or not, but like they have not

1671
01:15:26,160 --> 01:15:28,800
Speaker 2: really fixed grinders yet. Like that is just a weird

1672
01:15:28,800 --> 01:15:31,800
Speaker 2: industry where's like one that only kind of works. It's

1673
01:15:31,920 --> 01:15:34,960
Speaker 2: very strange, but I guess and like some of them

1674
01:15:34,960 --> 01:15:37,200
Speaker 2: not saying from personal experience, when you put the cone on,

1675
01:15:37,240 --> 01:15:40,240
Speaker 2: it's actually quite fiddly, and when you're using not quoting

1676
01:15:40,280 --> 01:15:44,400
Speaker 2: my specific experience or anything, because I'm being very clear

1677
01:15:44,439 --> 01:15:47,560
Speaker 2: about who uses this, not how the fuck the stoners

1678
01:15:47,680 --> 01:15:50,840
Speaker 2: use these like very like fiddly little tools? Is it

1679
01:15:50,920 --> 01:15:54,840
Speaker 2: just like stoners enter like hit Man level focus? They

1680
01:15:54,880 --> 01:15:58,400
Speaker 2: go into bullet time when making one, because I wouldn't

1681
01:15:58,400 --> 01:15:59,519
Speaker 2: if I used one which I had.

1682
01:15:59,640 --> 01:16:02,479
Speaker 3: If you, if you did smoke weed, would you be

1683
01:16:02,520 --> 01:16:05,479
Speaker 3: a roller? Would you pearl your joints?

1684
01:16:05,479 --> 01:16:08,040
Speaker 2: In this hypothetical scenario. I found one where you can

1685
01:16:08,120 --> 01:16:10,600
Speaker 2: just put the cone and then the grinder is on

1686
01:16:10,640 --> 01:16:12,720
Speaker 2: top of it. It's like fifty bucks. It changed my

1687
01:16:12,760 --> 01:16:13,799
Speaker 2: theoretical life.

1688
01:16:14,280 --> 01:16:15,280
Speaker 3: Yeah, it would have.

1689
01:16:15,479 --> 01:16:16,960
Speaker 1: It would have in this fan fiction.

1690
01:16:17,040 --> 01:16:19,600
Speaker 2: In this fan fiction, we're talking in this simulation. I

1691
01:16:19,640 --> 01:16:21,400
Speaker 2: think I've even said it in another episode.

1692
01:16:21,400 --> 01:16:22,240
Speaker 1: I don't know what I'm doing.

1693
01:16:23,320 --> 01:16:23,479
Speaker 3: Two.

1694
01:16:24,280 --> 01:16:29,640
Speaker 1: Yeah, this is Earth to Ed, But is it?

1695
01:16:30,240 --> 01:16:32,200
Speaker 2: You would think that there would be more of that though,

1696
01:16:32,280 --> 01:16:34,479
Speaker 2: there would be more like maybe you'll see it when

1697
01:16:34,479 --> 01:16:36,880
Speaker 2: you go and look. Maybe I would love to hear

1698
01:16:36,920 --> 01:16:41,040
Speaker 2: the weed stuff for someone else. But also that's also

1699
01:16:41,120 --> 01:16:44,360
Speaker 2: one that feels solved as well, like at some point to.

1700
01:16:44,280 --> 01:16:46,800
Speaker 1: A certain extent. Though again it's like that's the type

1701
01:16:46,840 --> 01:16:49,840
Speaker 1: of ship that I liked that I saw here, especially

1702
01:16:49,920 --> 01:16:53,280
Speaker 1: in the Venetian Yesterday is the attempt where it's just

1703
01:16:53,320 --> 01:16:56,480
Speaker 1: like it's inventor stuff. It's like taking a practical problem

1704
01:16:56,800 --> 01:16:59,200
Speaker 1: and then like working out some way to you know,

1705
01:16:59,400 --> 01:17:01,000
Speaker 1: fix it or make it. You know, it's not always

1706
01:17:01,040 --> 01:17:04,120
Speaker 1: affordable or whatever. But if the practical problem in question

1707
01:17:04,320 --> 01:17:06,880
Speaker 1: is like no soft serve in my house, yeah, like

1708
01:17:07,560 --> 01:17:10,439
Speaker 1: machine that fixed it. You know, like it's twenty five

1709
01:17:10,520 --> 01:17:13,000
Speaker 1: hundred dollars after the discount here, but it's still like

1710
01:17:13,560 --> 01:17:16,120
Speaker 1: I had the soft serve. It was pretty good soft serve.

1711
01:17:16,280 --> 01:17:18,400
Speaker 1: Like these things can be fixed.

1712
01:17:18,439 --> 01:17:21,320
Speaker 4: I went to a coffee station and they were like, oh,

1713
01:17:21,320 --> 01:17:22,560
Speaker 4: it's AI powered.

1714
01:17:22,280 --> 01:17:22,840
Speaker 3: And so I went.

1715
01:17:23,000 --> 01:17:24,519
Speaker 4: So I got the coffee and I'm like, how's it

1716
01:17:24,560 --> 01:17:27,160
Speaker 4: AI powered? They're like, oh, well, this is a generator.

1717
01:17:27,200 --> 01:17:29,360
Speaker 4: I was like what, Yeah, what do you mean this

1718
01:17:29,400 --> 01:17:32,080
Speaker 4: is a generator? And so then I'm actually gave the

1719
01:17:32,080 --> 01:17:34,679
Speaker 4: coffee station a real look and I was like, oh, okay,

1720
01:17:34,720 --> 01:17:37,519
Speaker 4: you have the coffee thing here that's very small, and

1721
01:17:37,560 --> 01:17:40,160
Speaker 4: then right next to it is a massive generator you've

1722
01:17:40,160 --> 01:17:43,000
Speaker 4: stacked on here that kind of looks like it's the

1723
01:17:43,000 --> 01:17:44,280
Speaker 4: coffee machine, but it isn't.

1724
01:17:44,400 --> 01:17:47,040
Speaker 3: What is it's It's called Ecoflow.

1725
01:17:47,160 --> 01:17:47,360
Speaker 2: You know.

1726
01:17:48,320 --> 01:17:49,760
Speaker 4: It's one of the ones I was talking to you about,

1727
01:17:49,760 --> 01:17:52,800
Speaker 4: which is like for your home thousands and thousands and

1728
01:17:52,880 --> 01:17:56,599
Speaker 4: thousands of watts. But they were they were just using

1729
01:17:56,600 --> 01:17:58,479
Speaker 4: it as an example to be like, oh, you like

1730
01:17:58,560 --> 01:18:01,160
Speaker 4: the coffee, Well, the coffee is plugged into a system

1731
01:18:01,200 --> 01:18:02,800
Speaker 4: that would be able to figure out whether it should

1732
01:18:02,840 --> 01:18:03,639
Speaker 4: draw from the grid.

1733
01:18:03,720 --> 01:18:05,160
Speaker 1: Hey, which are the solar collar?

1734
01:18:05,880 --> 01:18:09,879
Speaker 7: Is it waste heat from AI explation to make coffee?

1735
01:18:10,320 --> 01:18:12,720
Speaker 4: No, the AI has nothing to do with coffee, but

1736
01:18:12,760 --> 01:18:15,519
Speaker 4: they say it has to do with coffee all. What

1737
01:18:15,560 --> 01:18:17,639
Speaker 4: it has to do is it's supposed to plug into

1738
01:18:17,640 --> 01:18:20,439
Speaker 4: your home to figure out energy efficiency, and if you

1739
01:18:20,560 --> 01:18:22,880
Speaker 4: got one of their coffee things, you'd happen to be

1740
01:18:22,920 --> 01:18:24,839
Speaker 4: able to take advantage of that so that you wouldn't

1741
01:18:24,840 --> 01:18:25,479
Speaker 4: be using.

1742
01:18:25,760 --> 01:18:28,160
Speaker 3: More expensive qu on another subscription surface.

1743
01:18:28,240 --> 01:18:30,840
Speaker 1: Yeah good, Yeah, once again one of those things that

1744
01:18:30,920 --> 01:18:33,360
Speaker 1: like everything that you describe there sounds okay enough to me.

1745
01:18:33,439 --> 01:18:35,600
Speaker 1: I just don't know why you have to say AI.

1746
01:18:35,479 --> 01:18:37,519
Speaker 3: When you see yeah all the rest in me either.

1747
01:18:37,680 --> 01:18:38,559
Speaker 1: Yeah, it's just confusing.

1748
01:18:38,600 --> 01:18:42,080
Speaker 4: It's actually fun because I he's he had. I asked

1749
01:18:42,160 --> 01:18:44,000
Speaker 4: him a bunch about the AI. I couldn't really find it.

1750
01:18:44,040 --> 01:18:46,519
Speaker 4: Then we spent like ten fifteen minutes talking about my

1751
01:18:46,640 --> 01:18:48,840
Speaker 4: locks because he was like, oh, my god, What are

1752
01:18:48,920 --> 01:18:52,000
Speaker 4: are these these dreadlocks? How do you grow them? I

1753
01:18:52,160 --> 01:18:58,439
Speaker 4: heard that they're so com person's just he had so

1754
01:18:58,520 --> 01:18:59,080
Speaker 4: many questions.

1755
01:18:59,120 --> 01:18:59,519
Speaker 3: It was fun.

1756
01:18:59,520 --> 01:19:00,760
Speaker 2: It was actually white guy.

1757
01:19:00,960 --> 01:19:04,160
Speaker 3: No, he's from China. Yeah, okay, that's so good.

1758
01:19:04,320 --> 01:19:07,400
Speaker 1: I was not a great question, but you know I was.

1759
01:19:07,439 --> 01:19:09,919
Speaker 4: I was being empathetic because I'm like, these are probably

1760
01:19:10,400 --> 01:19:11,040
Speaker 4: great first ones.

1761
01:19:11,080 --> 01:19:14,800
Speaker 3: I've seen six other black people on the floor off

1762
01:19:14,800 --> 01:19:18,120
Speaker 3: the four days. You know, have you learned other names already?

1763
01:19:18,400 --> 01:19:20,559
Speaker 3: We not do each other every time we see each other.

1764
01:19:20,800 --> 01:19:23,120
Speaker 1: How was the coffee?

1765
01:19:23,320 --> 01:19:23,760
Speaker 2: It was?

1766
01:19:24,080 --> 01:19:26,679
Speaker 3: It was regular, regular black coffee.

1767
01:19:26,720 --> 01:19:28,240
Speaker 2: Okay, so it's so funny.

1768
01:19:28,280 --> 01:19:31,960
Speaker 3: We've had better. Yeah, yeah, coffee, I've made better. And

1769
01:19:31,960 --> 01:19:34,400
Speaker 3: I don't drink coffee like that. By the way, I'm

1770
01:19:34,439 --> 01:19:35,559
Speaker 3: still mad just sitting here.

1771
01:19:35,600 --> 01:19:37,519
Speaker 7: I thought of a better use case for AI to

1772
01:19:37,600 --> 01:19:40,840
Speaker 7: actually heat water to make coffee within their actual problems.

1773
01:19:40,840 --> 01:19:42,759
Speaker 2: It went on the business of fixing problems.

1774
01:19:43,200 --> 01:19:44,040
Speaker 3: Ship that's what I did.

1775
01:19:44,160 --> 01:19:46,760
Speaker 2: Yeah, that's not why we come here. A consumer.

1776
01:19:47,120 --> 01:19:49,439
Speaker 7: You must consume now if I can help, May I

1777
01:19:49,479 --> 01:19:51,559
Speaker 7: offer you something you can go troll people with if

1778
01:19:51,560 --> 01:19:52,960
Speaker 7: you happen to find the laser bone.

1779
01:19:52,960 --> 01:19:54,280
Speaker 1: I don't like to do that kind of thing.

1780
01:19:56,200 --> 01:19:58,759
Speaker 7: This family, so you can go ahead and ask them,

1781
01:19:58,840 --> 01:20:01,679
Speaker 7: So when you're you using the laser on the weed,

1782
01:20:01,960 --> 01:20:03,320
Speaker 7: does it how's it burning?

1783
01:20:03,400 --> 01:20:07,919
Speaker 3: Does it burn it enough? How? Because uh, that's a problem.

1784
01:20:08,200 --> 01:20:10,800
Speaker 1: I feel like there would be people. That's one of

1785
01:20:10,800 --> 01:20:13,120
Speaker 1: those spaces where sometimes you'll go someplace and the person

1786
01:20:13,160 --> 01:20:15,080
Speaker 1: that's selling it is just like they're doing their best.

1787
01:20:15,320 --> 01:20:18,840
Speaker 2: Yeah, not that they're not like in love with it.

1788
01:20:18,920 --> 01:20:20,160
Speaker 1: That just I'm just fucking him.

1789
01:20:20,240 --> 01:20:21,120
Speaker 3: It is kind of amazing.

1790
01:20:21,120 --> 01:20:23,679
Speaker 4: Though I've seen less weed tech than crypto, Like I've

1791
01:20:23,680 --> 01:20:27,439
Speaker 4: seen crypto three or four times now, but we zero.

1792
01:20:27,800 --> 01:20:30,000
Speaker 1: Yeah, because I feel like if you had to pick

1793
01:20:30,040 --> 01:20:32,439
Speaker 1: one of those things to still exist in five years, yeah,

1794
01:20:33,240 --> 01:20:34,360
Speaker 1: I mean they probably both going.

1795
01:20:34,280 --> 01:20:37,040
Speaker 7: To exist from previous Yes there was weed.

1796
01:20:36,840 --> 01:20:41,519
Speaker 8: Tech, Yeah, maybe it's dying where maybe they forgot crypt

1797
01:20:41,760 --> 01:20:46,360
Speaker 8: So one was this this healthcare management devices on the blockchain,

1798
01:20:46,640 --> 01:20:49,080
Speaker 8: and the other was an AI trader that would make

1799
01:20:49,560 --> 01:20:52,120
Speaker 8: that was not financial advice, but it would make decisions.

1800
01:20:51,680 --> 01:20:56,400
Speaker 4: For you every time there's any financial thing doing financial advice.

1801
01:20:56,479 --> 01:21:00,360
Speaker 2: But I love the AI trade one because back to

1802
01:21:00,360 --> 01:21:03,160
Speaker 2: a conversation with my make Casey, It's like if the

1803
01:21:03,200 --> 01:21:05,360
Speaker 2: AI trade it was so good, why would you fucking

1804
01:21:05,400 --> 01:21:05,760
Speaker 2: sell it?

1805
01:21:06,560 --> 01:21:07,720
Speaker 1: Yeah, I wouldn't to be so good.

1806
01:21:07,760 --> 01:21:09,960
Speaker 2: You just turn this ship on and off you you're

1807
01:21:10,000 --> 01:21:12,240
Speaker 2: on your yaw Yeah, got me that. Fuck.

1808
01:21:12,280 --> 01:21:14,000
Speaker 1: It also feels like again one of those things where

1809
01:21:14,000 --> 01:21:17,000
Speaker 1: it's like, for all the promise of of AI ostensibly,

1810
01:21:17,479 --> 01:21:20,479
Speaker 1: you know, all the promise of it, like everybody that

1811
01:21:21,360 --> 01:21:23,519
Speaker 1: uses it knows it doesn't work very well. And so

1812
01:21:23,560 --> 01:21:25,040
Speaker 1: the idea of being like, well, I'm not gonna like

1813
01:21:25,160 --> 01:21:28,320
Speaker 1: as part of my participation in the work of building

1814
01:21:28,360 --> 01:21:32,320
Speaker 1: an AI that works, I'm going to let it control

1815
01:21:32,400 --> 01:21:34,920
Speaker 1: my money while I do this is the all the others.

1816
01:21:34,920 --> 01:21:36,280
Speaker 1: This goes back to like some of the stuff about

1817
01:21:36,280 --> 01:21:37,880
Speaker 1: the smart house. It's like all of these things that

1818
01:21:37,920 --> 01:21:41,320
Speaker 1: like give you extra time to do what like none

1819
01:21:41,320 --> 01:21:44,240
Speaker 1: of these like more trading. Yeah, and it basically doesn't

1820
01:21:45,040 --> 01:21:47,040
Speaker 1: like all the time in your house that you'd be

1821
01:21:47,040 --> 01:21:50,320
Speaker 1: spending like preparing food or like showering room, which is

1822
01:21:50,320 --> 01:21:52,280
Speaker 1: like basically the part of my life that I like

1823
01:21:52,320 --> 01:21:55,320
Speaker 1: because the part like when I'm not working, you know,

1824
01:21:55,479 --> 01:21:55,960
Speaker 1: like I like.

1825
01:21:55,920 --> 01:21:56,720
Speaker 3: When you bathe too.

1826
01:21:57,160 --> 01:22:00,160
Speaker 4: Yeah, I appreciate that, but that is a good point, right,

1827
01:22:00,240 --> 01:22:02,960
Speaker 4: Like all of these a lot of AI is structured

1828
01:22:03,040 --> 01:22:08,120
Speaker 4: to be anti bureaucratic, cutting through the supposed layers of

1829
01:22:08,160 --> 01:22:09,120
Speaker 4: filth that prevent you.

1830
01:22:09,080 --> 01:22:09,960
Speaker 3: From living your life.

1831
01:22:10,000 --> 01:22:11,840
Speaker 4: Yep, right, But then when you get down to it,

1832
01:22:11,880 --> 01:22:14,800
Speaker 4: what's left a more space for them to commodify.

1833
01:22:15,240 --> 01:22:17,919
Speaker 2: Well, now you don't have to write or create anything.

1834
01:22:18,040 --> 01:22:21,599
Speaker 7: Yeah, you can affect it part of that filth.

1835
01:22:22,520 --> 01:22:24,760
Speaker 1: But that's like there's this observation. I don't remember who

1836
01:22:24,840 --> 01:22:26,559
Speaker 1: who said it. There was basically like the idea that

1837
01:22:26,600 --> 01:22:28,360
Speaker 1: like because of it, maybe because of the people that

1838
01:22:28,439 --> 01:22:30,920
Speaker 1: invented it, or just maybe this is what it is

1839
01:22:32,280 --> 01:22:35,680
Speaker 1: most practically applied to that It's like it's doing all

1840
01:22:35,720 --> 01:22:38,160
Speaker 1: of the stuff that like is your life to give

1841
01:22:38,160 --> 01:22:39,160
Speaker 1: you more time to work.

1842
01:22:39,240 --> 01:22:39,840
Speaker 2: When I think.

1843
01:22:39,720 --> 01:22:42,280
Speaker 1: Realistic, like most people would be if you ask them,

1844
01:22:42,320 --> 01:22:44,240
Speaker 1: they'd be like, well, can it do my work for me?

1845
01:22:44,760 --> 01:22:46,719
Speaker 1: Like I want to learn how to paint or whatever

1846
01:22:46,800 --> 01:22:48,519
Speaker 1: you know, and that you don't have to pain.

1847
01:22:48,760 --> 01:22:51,439
Speaker 2: Yeah, you can just ask for it to do.

1848
01:22:51,479 --> 01:22:54,760
Speaker 1: This'll draw you whatever I want to do that you can't.

1849
01:22:54,800 --> 01:22:56,640
Speaker 3: You can't imitate the cause, so why would you want to?

1850
01:22:56,920 --> 01:22:58,719
Speaker 3: Like you, but it can make it the best stick butts.

1851
01:22:58,880 --> 01:23:02,719
Speaker 2: Yeah, I like when people tell me I will write

1852
01:23:02,760 --> 01:23:05,080
Speaker 2: my blogs for me. I don't know what I'm writing

1853
01:23:05,120 --> 01:23:08,040
Speaker 2: when I sit down, too, that's the muse. I don't know.

1854
01:23:08,439 --> 01:23:10,479
Speaker 2: I let the power of Christ consume me, and I

1855
01:23:10,520 --> 01:23:12,639
Speaker 2: write five and a half thousand words in two hours,

1856
01:23:12,640 --> 01:23:14,280
Speaker 2: and I research awhile as I go. I send it

1857
01:23:14,320 --> 01:23:15,519
Speaker 2: to my editor all caps.

1858
01:23:15,600 --> 01:23:16,200
Speaker 1: Is this good?

1859
01:23:16,640 --> 01:23:19,920
Speaker 2: And Matt Hughes then doesn't respond immediately because it's two

1860
01:23:19,920 --> 01:23:22,040
Speaker 2: in the morning there, and then I send him three

1861
01:23:22,080 --> 01:23:24,040
Speaker 2: more messages saying I changed a bit, I changed a bit,

1862
01:23:24,040 --> 01:23:25,559
Speaker 2: it's not I don't love it. And he has to

1863
01:23:25,600 --> 01:23:26,679
Speaker 2: explain to me why it's good.

1864
01:23:26,800 --> 01:23:28,599
Speaker 1: That is the create What if an algorithm did that

1865
01:23:28,640 --> 01:23:31,080
Speaker 1: for you and you sat perfectly still for those three

1866
01:23:31,120 --> 01:23:33,800
Speaker 1: hours having no thoughts of any kind would.

1867
01:23:33,760 --> 01:23:39,000
Speaker 2: Be nice having ADHD and tonightus That sounds great. Yeah,

1868
01:23:39,360 --> 01:23:41,760
Speaker 2: just And that's the thing. None of these things seem

1869
01:23:41,840 --> 01:23:42,839
Speaker 2: to take away suffering.

1870
01:23:43,479 --> 01:23:46,640
Speaker 1: Well no, like it doesn't seem like they're reducing, like

1871
01:23:46,640 --> 01:23:47,360
Speaker 1: like they.

1872
01:23:47,240 --> 01:23:49,080
Speaker 4: Get a little bit of what it means to be

1873
01:23:49,120 --> 01:23:50,400
Speaker 4: a person, but not the whole.

1874
01:23:50,479 --> 01:23:53,080
Speaker 1: Yeah, I'm so I've been saying this again. It's only

1875
01:23:53,120 --> 01:23:55,679
Speaker 1: suggests like that the people involved that like these things

1876
01:23:55,680 --> 01:23:58,720
Speaker 1: that are like minor inconveniences for most people, Like, are

1877
01:23:58,800 --> 01:24:00,639
Speaker 1: you know the idea of like having to do the dishes,

1878
01:24:00,640 --> 01:24:03,479
Speaker 1: Like that's the worst thing in the life the person

1879
01:24:03,760 --> 01:24:04,439
Speaker 1: trying to sell you this.

1880
01:24:04,560 --> 01:24:06,320
Speaker 2: No, no, no, those people don't do the dishes.

1881
01:24:06,320 --> 01:24:09,280
Speaker 1: What they've done is they've gone ship. What do people do? Yeah?

1882
01:24:09,560 --> 01:24:09,840
Speaker 7: Fuck?

1883
01:24:09,920 --> 01:24:11,599
Speaker 3: What what are regular people?

1884
01:24:11,840 --> 01:24:13,360
Speaker 2: Food? They eat?

1885
01:24:13,600 --> 01:24:14,479
Speaker 3: They love that stuff.

1886
01:24:14,600 --> 01:24:16,880
Speaker 1: They can't they can't dress themselves.

1887
01:24:17,600 --> 01:24:21,560
Speaker 2: They're idiots. They can't date. And what they do dish dishes?

1888
01:24:22,160 --> 01:24:23,080
Speaker 2: My cleaner does those?

1889
01:24:23,120 --> 01:24:25,680
Speaker 3: They charge their devices? Yeah, they need to.

1890
01:24:25,400 --> 01:24:27,679
Speaker 1: Love their device most definitely.

1891
01:24:27,840 --> 01:24:30,719
Speaker 4: They don't have time to spend with their stupid little kids,

1892
01:24:30,920 --> 01:24:31,760
Speaker 4: their wife.

1893
01:24:31,479 --> 01:24:34,760
Speaker 2: And their stupid child, the moron child. But oh they

1894
01:24:34,760 --> 01:24:36,959
Speaker 2: haven't even got one of those because they're inferior.

1895
01:24:37,000 --> 01:24:37,439
Speaker 3: Don't worry.

1896
01:24:37,760 --> 01:24:40,080
Speaker 2: L G will get you there and you will now

1897
01:24:40,120 --> 01:24:43,559
Speaker 2: meet a woman thanks to Lucky gold Star Corporation. That's

1898
01:24:43,600 --> 01:24:46,280
Speaker 2: what the few And I keep going back to this point,

1899
01:24:46,320 --> 01:24:48,519
Speaker 2: it's like, what are the problems you sol stands for

1900
01:24:48,520 --> 01:24:49,840
Speaker 2: a Yeah, yes it does.

1901
01:24:50,000 --> 01:24:55,320
Speaker 1: Wow, cool, I didn't I learned something? Yeah, they have

1902
01:24:55,360 --> 01:24:58,760
Speaker 1: it on the side blue garret life and life's good.

1903
01:24:58,840 --> 01:25:00,960
Speaker 1: And I was like you again, that's one of those

1904
01:25:01,000 --> 01:25:03,160
Speaker 1: things where it like, I don't think that's the real

1905
01:25:03,240 --> 01:25:06,200
Speaker 1: name of that. Lucky gold Star makes more sense because

1906
01:25:06,200 --> 01:25:07,639
Speaker 1: that has a certain where it just feels like they

1907
01:25:07,840 --> 01:25:10,040
Speaker 1: used to be like a ready mixed concrete company or

1908
01:25:10,120 --> 01:25:12,640
Speaker 1: like an international shipping line, you know, and then at

1909
01:25:12,640 --> 01:25:15,519
Speaker 1: some point they've like discovered I actually think they might

1910
01:25:15,600 --> 01:25:21,000
Speaker 1: have made concrete. You know, color Color started, Color started,

1911
01:25:21,080 --> 01:25:25,000
Speaker 1: the LG Concrete Inc. Super good. Well that's where it begins.

1912
01:25:25,080 --> 01:25:26,400
Speaker 1: You start with that and then.

1913
01:25:26,400 --> 01:25:30,760
Speaker 2: And steal where we learned. We learned a lot today. No,

1914
01:25:31,000 --> 01:25:34,559
Speaker 2: it's it's just frustrating because I'm not asking. I just

1915
01:25:34,600 --> 01:25:36,479
Speaker 2: want to be clear for the listeners. I'm not asking,

1916
01:25:36,520 --> 01:25:40,280
Speaker 2: did you see anything good? To be facetious, I genuinely like,

1917
01:25:40,360 --> 01:25:43,480
Speaker 2: I was so happy that Theveingra had founded laptop.

1918
01:25:43,040 --> 01:25:44,160
Speaker 1: He liked it sounded cool.

1919
01:25:44,560 --> 01:25:45,800
Speaker 3: I'm so excited about that.

1920
01:25:45,960 --> 01:25:48,479
Speaker 2: And the skin products that Victoria is talking about the

1921
01:25:48,479 --> 01:25:50,240
Speaker 2: fact that you can actually make these, and that's what

1922
01:25:50,280 --> 01:25:52,120
Speaker 2: Teke should do. It should like be like, hey, here's

1923
01:25:52,120 --> 01:25:55,160
Speaker 2: an actual friction point. You spend hundreds of dollars on skincare.

1924
01:25:55,800 --> 01:25:57,720
Speaker 2: Now you don't have to do that because you can

1925
01:25:57,760 --> 01:26:00,800
Speaker 2: spend theoretically hundreds on the stuff that actually works so

1926
01:26:00,840 --> 01:26:03,000
Speaker 2: you don't have to spend more in the future. And

1927
01:26:03,040 --> 01:26:06,679
Speaker 2: then it's like, Okay, that's one company who knows one thing,

1928
01:26:06,800 --> 01:26:10,280
Speaker 2: but the overwatching thing is the CEO saying, fuck, what.

1929
01:26:10,280 --> 01:26:11,439
Speaker 1: Do people do jobs?

1930
01:26:11,560 --> 01:26:14,519
Speaker 2: Yeah? What do people do doing during the job that

1931
01:26:14,560 --> 01:26:17,160
Speaker 2: they do? They wash dishes and they on set emails

1932
01:26:17,160 --> 01:26:18,000
Speaker 2: and they read them.

1933
01:26:18,400 --> 01:26:20,800
Speaker 1: Yeah, that I don't like a little bit of disconnection

1934
01:26:20,920 --> 01:26:23,040
Speaker 1: to me seems like I see it's like at the

1935
01:26:23,160 --> 01:26:27,360
Speaker 1: root of like so much of what is like not

1936
01:26:27,960 --> 01:26:31,000
Speaker 1: working about a lot of this that there's because the

1937
01:26:31,040 --> 01:26:33,479
Speaker 1: ones that it seems to me and maybe this is

1938
01:26:33,520 --> 01:26:36,160
Speaker 1: just my own bias for like small or large or whatever.

1939
01:26:36,200 --> 01:26:39,360
Speaker 1: You know, I'm like gonna own my my preferences here.

1940
01:26:40,280 --> 01:26:46,120
Speaker 1: The stuff that is like clearly designed to like fix

1941
01:26:46,240 --> 01:26:49,880
Speaker 1: a specific thing or improve a specific thing is better

1942
01:26:49,960 --> 01:26:52,400
Speaker 1: to me than and like much more easy for me

1943
01:26:52,439 --> 01:26:55,639
Speaker 1: to sort of like understand, as you know, just an

1944
01:26:55,640 --> 01:26:57,679
Speaker 1: idiot standing in front of a demo or whatever.

1945
01:26:57,760 --> 01:26:58,880
Speaker 2: I need you just to stop saying that.

1946
01:26:58,960 --> 01:27:01,400
Speaker 1: Well it's regulars whole term that I like to use

1947
01:27:01,439 --> 01:27:04,639
Speaker 1: to describe myself, but the like so that but anyway,

1948
01:27:04,680 --> 01:27:07,479
Speaker 1: but I get it in that way, whereas the idea

1949
01:27:07,520 --> 01:27:11,360
Speaker 1: of like a thing that fixes or improves everything or

1950
01:27:11,400 --> 01:27:15,439
Speaker 1: that is like that like sort of global idea of it.

1951
01:27:15,479 --> 01:27:18,040
Speaker 1: I understand why these companies which are you know, their

1952
01:27:18,280 --> 01:27:20,200
Speaker 1: job is to grow into like sort.

1953
01:27:20,080 --> 01:27:22,360
Speaker 2: Of a bigger thing that will then grow right.

1954
01:27:22,800 --> 01:27:25,680
Speaker 1: And yet like not only does it become like sort

1955
01:27:25,720 --> 01:27:29,479
Speaker 1: of hard to see like what the actual vision is,

1956
01:27:30,640 --> 01:27:33,400
Speaker 1: it gets not just like more abstracted, but it like

1957
01:27:33,520 --> 01:27:36,000
Speaker 1: it gets weirder. This is the thing that we keep

1958
01:27:36,040 --> 01:27:38,040
Speaker 1: sort of coming back to that like you're not fixing

1959
01:27:38,080 --> 01:27:42,479
Speaker 1: the problem like by like devising a house that does

1960
01:27:42,520 --> 01:27:44,280
Speaker 1: all my decisions for me. It does not in any

1961
01:27:44,280 --> 01:27:45,880
Speaker 1: way diminish the fact that I'm still paying too much

1962
01:27:45,880 --> 01:27:47,400
Speaker 1: money for skincare products.

1963
01:27:47,120 --> 01:27:47,599
Speaker 2: Right, you know.

1964
01:27:47,640 --> 01:27:51,320
Speaker 1: And I guess like this is something that uh, your

1965
01:27:51,400 --> 01:27:54,000
Speaker 1: Mia was saying last night about the idea of like

1966
01:27:54,000 --> 01:27:56,839
Speaker 1: all of these sort of like individual solutions to broader

1967
01:27:56,920 --> 01:27:59,080
Speaker 1: structural problems, and that like the idea of just like

1968
01:27:59,080 --> 01:28:01,840
Speaker 1: continuing to throw the idea of being like, well, this

1969
01:28:01,960 --> 01:28:05,439
Speaker 1: is like a better way of getting around, and it's

1970
01:28:05,479 --> 01:28:07,759
Speaker 1: like it might even be a better way of getting around.

1971
01:28:07,800 --> 01:28:12,040
Speaker 1: And yet like when the systems themselves are sort of

1972
01:28:12,080 --> 01:28:16,240
Speaker 1: not working in your favor. It doesn't matter that much

1973
01:28:16,760 --> 01:28:21,840
Speaker 1: how like down to the last decimal point efficient your

1974
01:28:21,880 --> 01:28:23,599
Speaker 1: experience of it is because you're still gonna be stuck

1975
01:28:23,600 --> 01:28:24,840
Speaker 1: on the road with everybody else.

1976
01:28:24,960 --> 01:28:26,479
Speaker 2: It kind of reminds me of what I was saying

1977
01:28:26,479 --> 01:28:29,800
Speaker 2: about fintech and removing friction. Oh, you'll be able to

1978
01:28:29,840 --> 01:28:32,599
Speaker 2: trade better and do this. The real structural problem there

1979
01:28:32,640 --> 01:28:35,120
Speaker 2: is it's very, very hard to accumulate wealth as a

1980
01:28:35,160 --> 01:28:38,000
Speaker 2: regular person. The actual that is more of a symptom

1981
01:28:38,000 --> 01:28:39,519
Speaker 2: of a problem than it is.

1982
01:28:39,600 --> 01:28:41,400
Speaker 1: And also as I understand that all of these things,

1983
01:28:41,400 --> 01:28:44,080
Speaker 1: like the one there's one that was either entry centered

1984
01:28:44,080 --> 01:28:47,080
Speaker 1: teel or one of the fucking super friends, but a

1985
01:28:47,160 --> 01:28:53,040
Speaker 1: thing that was like basically like not FDIC backed, like

1986
01:28:53,080 --> 01:28:54,519
Speaker 1: that was the whole They were like finally like you

1987
01:28:54,560 --> 01:28:56,639
Speaker 1: can bank without big government being involved. And then it's

1988
01:28:56,640 --> 01:28:58,360
Speaker 1: like and it collapsed right away.

1989
01:28:58,560 --> 01:29:00,720
Speaker 3: Goodness, there's no insurance to Yeah, but.

1990
01:29:00,680 --> 01:29:03,120
Speaker 1: That's like one of those things where like understanding the

1991
01:29:03,160 --> 01:29:06,200
Speaker 1: idea that like this is a part of a bigger

1992
01:29:06,200 --> 01:29:09,800
Speaker 1: system is like it's just not something that computes for them,

1993
01:29:09,800 --> 01:29:11,479
Speaker 1: and so what you wind up with instead is like

1994
01:29:11,720 --> 01:29:14,559
Speaker 1: the worst invention of halt time, Yes, like a bank

1995
01:29:14,640 --> 01:29:15,400
Speaker 1: that ruins you.

1996
01:29:15,560 --> 01:29:18,800
Speaker 4: Yeah, something that might have been invented by like a

1997
01:29:18,920 --> 01:29:21,240
Speaker 4: rich diletunt in the eighteen thirties.

1998
01:29:21,280 --> 01:29:23,920
Speaker 1: Yes, like at a time when there wasn't really a system,

1999
01:29:23,920 --> 01:29:26,000
Speaker 1: and so they're sort of yeah, like just the rude golder.

2000
01:29:26,120 --> 01:29:28,240
Speaker 2: I guess there's so many of the crypto things that

2001
01:29:28,280 --> 01:29:30,479
Speaker 2: do feel like an insane thing that a guy would

2002
01:29:30,520 --> 01:29:32,719
Speaker 2: do in a cult. Yeah. Yeah, it's a coin about

2003
01:29:32,720 --> 01:29:35,160
Speaker 2: this woman who talked about what she used to do

2004
01:29:35,280 --> 01:29:37,559
Speaker 2: with a Willie mm hmm. And you should invest in

2005
01:29:37,600 --> 01:29:39,840
Speaker 2: the hawk to a coin who has a podcast for

2006
01:29:39,880 --> 01:29:41,720
Speaker 2: some reason, this is your god. Now.

2007
01:29:41,840 --> 01:29:43,639
Speaker 4: I have a few friends who have made a lot

2008
01:29:43,680 --> 01:29:47,200
Speaker 4: of any friend crypto, and they're the way that they

2009
01:29:47,200 --> 01:29:50,559
Speaker 4: approach it is like they're like, I am deeply cynical

2010
01:29:50,600 --> 01:29:53,240
Speaker 4: about it, but everyone here is an idiot. And if

2011
01:29:53,240 --> 01:29:55,400
Speaker 4: you make enough money to begin with, then you get

2012
01:29:55,400 --> 01:29:58,759
Speaker 4: plugged into the networks of people who are actively manipulating people.

2013
01:29:58,880 --> 01:30:01,599
Speaker 2: So what you mean is that they believe they believe

2014
01:30:02,120 --> 01:30:07,120
Speaker 2: it's it's every every grift ever, which is I'm being scammed.

2015
01:30:07,200 --> 01:30:09,800
Speaker 2: But what they don't know is I'm scamming them better.

2016
01:30:09,840 --> 01:30:12,240
Speaker 1: Well, yes, that's the bit that I always am curious

2017
01:30:12,240 --> 01:30:14,320
Speaker 1: about with like because this is I think it's been

2018
01:30:14,360 --> 01:30:19,720
Speaker 1: like demonstrated that like absent any other of the like

2019
01:30:19,800 --> 01:30:23,519
Speaker 1: sort of many factors that could make somebody become like

2020
01:30:23,560 --> 01:30:25,840
Speaker 1: that that like made people vote for Trump, or that

2021
01:30:25,960 --> 01:30:28,280
Speaker 1: like push people to the right, that like crypto is

2022
01:30:28,360 --> 01:30:30,840
Speaker 1: the single most powerful indicator there that it is like

2023
01:30:30,920 --> 01:30:34,719
Speaker 1: the thing that like owning crypto is associated with voting

2024
01:30:35,320 --> 01:30:37,760
Speaker 1: like often to the very hard to the right in

2025
01:30:37,800 --> 01:30:39,400
Speaker 1: a way that nothing else is. And I think that

2026
01:30:39,439 --> 01:30:42,120
Speaker 1: there's an aspect of that where like the idea of

2027
01:30:42,120 --> 01:30:45,280
Speaker 1: being like, all right, it's a scam, I'm scamming somebody.

2028
01:30:45,320 --> 01:30:47,280
Speaker 1: I'm probably being scammed, but I know enough to get

2029
01:30:47,280 --> 01:30:49,560
Speaker 1: out that seems to be true. Not just that the

2030
01:30:49,600 --> 01:30:51,320
Speaker 1: people like you were saying, like your buddies who are

2031
01:30:51,360 --> 01:30:54,080
Speaker 1: like plugged into the people that are actually you know,

2032
01:30:54,120 --> 01:30:56,840
Speaker 1: like in the whale community and like know when it's

2033
01:30:56,880 --> 01:30:59,960
Speaker 1: time to bail on Hawk two coin or whatever.

2034
01:31:01,400 --> 01:31:04,400
Speaker 3: Yeah, if it's fast, you know whatever the fuck right, Yeah.

2035
01:31:04,240 --> 01:31:07,600
Speaker 1: It's like all of these things that basically are like

2036
01:31:07,800 --> 01:31:10,200
Speaker 1: the most obvious like do not buy this. This is

2037
01:31:10,240 --> 01:31:12,960
Speaker 1: a gag sort of thing. And yet like I think

2038
01:31:13,000 --> 01:31:15,599
Speaker 1: everybody that is involved with that at every level, right

2039
01:31:15,640 --> 01:31:20,160
Speaker 1: down to like just some like manosphere shut in nineteen

2040
01:31:20,200 --> 01:31:23,679
Speaker 1: year old on a gaming computer right doing all the stuff.

2041
01:31:23,840 --> 01:31:26,960
Speaker 1: All of those guys somehow still believe that. They're like, yeah,

2042
01:31:27,000 --> 01:31:28,760
Speaker 1: I know it's bullshit, but like, I'll know when it's

2043
01:31:28,760 --> 01:31:29,280
Speaker 1: time to get out.

2044
01:31:29,320 --> 01:31:33,400
Speaker 2: But now it's the ultimate con which is to pretend

2045
01:31:33,439 --> 01:31:36,479
Speaker 2: to give people industry, to give people hope, to give

2046
01:31:36,560 --> 01:31:40,360
Speaker 2: people more a feeling of more control while controlling them

2047
01:31:40,400 --> 01:31:43,719
Speaker 2: and probably being controlled by someone out it's yeah, deeply.

2048
01:31:43,720 --> 01:31:45,559
Speaker 4: So I've tried to talk with them about this because

2049
01:31:45,560 --> 01:31:48,200
Speaker 4: I'm like, I really do think for y'all, it comes

2050
01:31:48,240 --> 01:31:50,760
Speaker 4: down to luck. You know, it's like like you said,

2051
01:31:50,800 --> 01:31:54,000
Speaker 4: it's literally everyone believes that, and everyone believes.

2052
01:31:53,720 --> 01:31:55,920
Speaker 3: That in so many industries, right.

2053
01:31:56,280 --> 01:31:58,760
Speaker 4: The difference between you and some other bloke is like

2054
01:31:58,800 --> 01:32:01,519
Speaker 4: maybe you heard about it an hour earlier, or you

2055
01:32:01,680 --> 01:32:05,000
Speaker 4: just like there's like something that you got for no

2056
01:32:05,120 --> 01:32:06,400
Speaker 4: other reason other than.

2057
01:32:06,600 --> 01:32:09,360
Speaker 7: It's important to note that we're saying this inside of

2058
01:32:09,360 --> 01:32:09,919
Speaker 7: a casino.

2059
01:32:10,240 --> 01:32:12,960
Speaker 2: Yeah yeah, right now, And honest, every.

2060
01:32:13,080 --> 01:32:16,559
Speaker 7: Everyone thinks they have a system to play, and the

2061
01:32:16,560 --> 01:32:22,479
Speaker 7: true beauty of sitting casino is sit there cross your arms,

2062
01:32:22,960 --> 01:32:26,960
Speaker 7: watch and try to figure out what system they think

2063
01:32:27,040 --> 01:32:29,439
Speaker 7: they're using and watch it fail.

2064
01:32:29,520 --> 01:32:31,360
Speaker 3: So we gamble in tonight, right boys.

2065
01:32:31,120 --> 01:32:32,080
Speaker 2: Yeah, not for me.

2066
01:32:32,200 --> 01:32:34,519
Speaker 1: I'm trying to lose five hundred dollars in twenty minutes.

2067
01:32:34,760 --> 01:32:36,880
Speaker 2: So we're wrapping this episode up, but I will say

2068
01:32:37,479 --> 01:32:41,040
Speaker 2: the Friday episode. The show floor closes today, by the way, guys,

2069
01:32:42,240 --> 01:32:46,120
Speaker 2: So there's nothing tomorrow, No just podcasting. Oh owly zool.

2070
01:32:46,840 --> 01:32:48,519
Speaker 1: So we're gonna wrap this one up, but tomorrow we

2071
01:32:48,520 --> 01:32:51,080
Speaker 1: can talk about get into the Eureka Vault. You're going

2072
01:32:51,120 --> 01:32:54,920
Speaker 1: to the Eureka Volte immediately following this will that's the

2073
01:32:54,960 --> 01:32:58,639
Speaker 1: one you'll save art.

2074
01:32:59,000 --> 01:33:00,639
Speaker 2: I am sending you to the rat nest.

2075
01:33:01,120 --> 01:33:01,880
Speaker 3: Oh my god.

2076
01:33:02,160 --> 01:33:05,320
Speaker 2: We'll talk gambling tomorrow though, of course, how dare you

2077
01:33:06,040 --> 01:33:09,599
Speaker 2: how dare you ever think to compare the dishonest crooks

2078
01:33:09,600 --> 01:33:10,440
Speaker 2: of cryptocurrency.

2079
01:33:10,760 --> 01:33:16,280
Speaker 7: I'm sorry, let's do very sorry, the Las Vegas said, sorry,

2080
01:33:16,280 --> 01:33:17,479
Speaker 7: the Nevada Gaming Commission.

2081
01:33:17,680 --> 01:33:19,200
Speaker 3: I'm very sorry for anything.

2082
01:33:19,240 --> 01:33:21,960
Speaker 2: I have swindlers in the sports book, but you know

2083
01:33:22,000 --> 01:33:23,920
Speaker 2: that we love our odds there. But you know the

2084
01:33:23,920 --> 01:33:26,599
Speaker 2: truth is our beautiful slot machines and our honest tables

2085
01:33:26,640 --> 01:33:29,080
Speaker 2: that have the odds on the table. How dare you

2086
01:33:29,479 --> 01:33:32,480
Speaker 2: comp its cryptocurrency? But we have to wrap up. I apologize,

2087
01:33:34,560 --> 01:33:36,120
Speaker 2: No six waists.

2088
01:33:38,000 --> 01:33:38,919
Speaker 1: You make big money.

2089
01:33:40,640 --> 01:33:40,920
Speaker 3: Table.

2090
01:33:43,240 --> 01:33:46,200
Speaker 1: Phil. Where can people find you? Sorry?

2091
01:33:47,520 --> 01:33:48,040
Speaker 3: Phil Brighton?

2092
01:33:48,120 --> 01:33:51,360
Speaker 7: You can find me on Blue Sky at at Fundranium,

2093
01:33:51,840 --> 01:33:54,679
Speaker 7: and you can find me at my blog Funderanium Labs dot.

2094
01:33:54,520 --> 01:33:59,280
Speaker 1: Com, David Defector dot com. UH is the website, Distraction

2095
01:33:59,560 --> 01:34:01,960
Speaker 1: is the pot cast, and it's Christmas Down is the

2096
01:34:02,000 --> 01:34:03,479
Speaker 1: Hallmark podcast. You messed up.

2097
01:34:03,520 --> 01:34:05,000
Speaker 2: You said you can do it every other time, so

2098
01:34:05,080 --> 01:34:06,000
Speaker 2: you have to do it every time.

2099
01:34:06,960 --> 01:34:11,080
Speaker 4: Corblamo and ED Newsletter, the Tech Bubble dot subsac dot com,

2100
01:34:11,800 --> 01:34:16,280
Speaker 4: UH podcast, this Machine Kills UH and UH ext to

2101
01:34:16,360 --> 01:34:18,679
Speaker 4: everything site in Blue Sky, Big Black Jacobin.

2102
01:34:19,400 --> 01:34:21,960
Speaker 2: You can find me on the new social network hawk

2103
01:34:22,040 --> 01:34:26,679
Speaker 2: to a Social and everywhere else THEA. And you're gonna

2104
01:34:26,680 --> 01:34:28,960
Speaker 2: complain after this, you can say, Ed, it's the thing

2105
01:34:29,000 --> 01:34:31,240
Speaker 2: that you were meant to rerecord. And Mattasowski told you

2106
01:34:31,280 --> 01:34:33,040
Speaker 2: a month ago and then actually two months and Ian

2107
01:34:33,120 --> 01:34:34,800
Speaker 2: Johnson also told you. And you need to be sorry

2108
01:34:34,840 --> 01:34:36,960
Speaker 2: for those people anyway, And I'm gonna re record the

2109
01:34:37,000 --> 01:34:39,400
Speaker 2: bit at the end. You've got one more episode today

2110
01:34:39,400 --> 01:34:42,920
Speaker 2: and then tomorrow another two episodes, and then Saturday there's

2111
01:34:43,040 --> 01:34:46,120
Speaker 2: just one. These are gonna be the real magic ones.

2112
01:34:46,120 --> 01:34:49,400
Speaker 2: These are gonna be where people are really deteriorating mentally.

2113
01:34:49,600 --> 01:34:51,480
Speaker 7: Is this where I get to be mad about regulators?

2114
01:34:52,000 --> 01:34:54,240
Speaker 1: I'm gonna make you mad somehow, I believe in it.

2115
01:34:54,520 --> 01:34:57,679
Speaker 2: I'm gonna be I'm just going to be googling annoying things,

2116
01:34:57,960 --> 01:34:58,960
Speaker 2: not even about the show.

2117
01:34:59,080 --> 01:35:00,439
Speaker 3: You don't need to google, you just do it.

2118
01:35:00,520 --> 01:35:03,240
Speaker 2: Yeah, it's a natural thing. I'm generative. Anyway, Thanks for

2119
01:35:03,280 --> 01:35:05,680
Speaker 2: listening to this episode. More to come from the Consumer

2120
01:35:05,680 --> 01:35:16,880
Speaker 2: Electronics Show. Thank you for listening to Better Offline. The

2121
01:35:17,000 --> 01:35:20,160
Speaker 2: editor and composer of the Better Offline theme song is Matasowski.

2122
01:35:20,520 --> 01:35:22,360
Speaker 2: You can check out more of his music and audio

2123
01:35:22,360 --> 01:35:26,200
Speaker 2: projects at Matasowski dot com, M A T T O.

2124
01:35:26,439 --> 01:35:30,680
Speaker 2: S O w Ski dot com. You can email me

2125
01:35:30,720 --> 01:35:33,320
Speaker 2: at easy at Better Offline dot com, or visit Better

2126
01:35:33,320 --> 01:35:35,800
Speaker 2: Offline dot com to find more podcast links and of course,

2127
01:35:35,800 --> 01:35:38,960
Speaker 2: my newsletter. I also really recommend you go to chat

2128
01:35:38,960 --> 01:35:41,599
Speaker 2: dot Where's youreed dot at to visit the discord, and

2129
01:35:41,640 --> 01:35:44,360
Speaker 2: go to our slash Better Offline to check out our reddit.

2130
01:35:45,120 --> 01:35:46,479
Speaker 2: Thank you so much for listening.

2131
01:35:47,320 --> 01:35:50,000
Speaker 1: Better Offline is a production of cool Zone Media. For

2132
01:35:50,120 --> 01:35:52,800
Speaker 1: more from cool Zone Media, visit our website cool

2133
01:35:52,840 --> 01:35:56,200
Speaker 2: Zonemedia dot com, or check us out on the iHeartRadio app,

2134
01:35:56,240 --> 01:36:18,920
Speaker 2: Apple Podcasts, or wherever you get your podcasts.