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Speaker 1: All zone media.

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Speaker 2: Unstoppable, unbelievable, impeccable, unflappable, outrageous, stupendous, chosen by God and

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Speaker 2: perfected by science. I'm ed Zeitron and this is Better

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Speaker 2: Offlines coverage of the Consumer Electronics Show. That's right, we

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Speaker 2: are back for a final two hour stretch here in

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Speaker 2: the beautiful Palazzo Hotel in even more beautiful Las Vegas, Nevada.

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Speaker 1: We've been here all week with.

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Speaker 2: An open bor and tuckos for journalists to hang out

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Speaker 2: and chat shit about the world's largest technology conference. Thank

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Speaker 2: you all, Thank you all for joining me, Thank you

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Speaker 2: for being here as listeners, as guests. For everyone, this

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Speaker 2: has been the best CES yet. There's only been two,

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Speaker 2: but nevertheless, you don't know how the next one's going

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Speaker 2: to be. But in all seriousness, this has been an incredible,

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Speaker 2: incredible show. We've got four more thirty minute blocks and

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Speaker 2: then an epilogue tomorrow.

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Speaker 1: Who it's been a lot.

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Speaker 2: Our first quarter lineup is the incredible activist, journalist and

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Speaker 2: author Cory doctor Rowe hello ed, the fantastic writer of

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Speaker 2: the Tech Bubble newsletter, Edward on Graso Junior, and the

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Speaker 2: wonderful returning champion Kyle Shanad of the Las Vegas Sun

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Speaker 2: Local boy either, how you doing, Kyle?

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Speaker 1: How's your show been pretty good?

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Speaker 3: I started with a pre cees little conference between some

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Speaker 3: Korean companies and Nevada investors and businessmen.

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Speaker 1: Okay, well, it.

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Speaker 3: Was talking about how to bring their products, bring their

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Speaker 3: companies kind of to the American market, and kind of

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Speaker 3: the main point of it was, you know, CS has

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Speaker 3: been here in Las Vegas for so long at this point,

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Speaker 3: but Nevada itself, for Las Vegas itself, hasn't always seen

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Speaker 3: the fruits of that, right besides the actual of course,

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Speaker 3: you know, Las Vegas main market is in tourism and

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Speaker 3: bring people here, and conventions like this are a big

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Speaker 3: part of that. But actually creating a tech sector here

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Speaker 3: is a relatively newer concept, I think, probably following the

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Speaker 3: pandemic and what really to shut down the entire economy.

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Speaker 2: That failed attempt with Old Vegas though with Tony she

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Speaker 2: and that long Yeah.

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Speaker 3: I mean it's the recent iteration is newer, Ye'll say that.

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Speaker 2: And also that that one was very kind of limp.

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Speaker 2: No copy on it, Yeah, yeah, yeah, yeah, that one.

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Speaker 4: That one whiskey bar next to the barbecue joint in

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Speaker 4: the mall made it of trail shipping containers, is pretty good.

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Speaker 1: I didn't see that they talk about downtown.

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Speaker 4: Yeah, yeah, yeah, that was that there was there was

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Speaker 4: like one good thing that there's a good coffee shop

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Speaker 4: right there.

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Speaker 2: You'd think, why is it that it's so hard to

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Speaker 2: attract companies. There's like no state tax is that is

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Speaker 2: like the local business taxes high?

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Speaker 3: Like no, I mean they've they've been working on that

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Speaker 3: and kind of promoting the favorable tax regime. I think

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Speaker 3: it's probably the best way to put it for companies.

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Speaker 3: That's why a lot of people moved from California to

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Speaker 3: hear Nevada.

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Speaker 1: Yeah, the same way that we've had that.

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Speaker 3: I mean Nevada's legislature, there's a push for a dedicated

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Speaker 3: business court similar to what exists in Delaware, so we

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Speaker 3: can have companies incorporate here instead of there. Like we

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Speaker 3: recently had Friend of the Show and Rees and Horowitz

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Speaker 3: moved to Nevada. So there there's been a big push

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Speaker 3: there too, kind of because the pandemic so brazenly showed

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Speaker 3: that if there is an issue with travel, the economy

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Speaker 3: collapses here.

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Speaker 4: Yeah, well that's got quite a race. It it feels

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Speaker 4: like the finish line is at the bottom though.

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Speaker 2: Yeah, but wait, so this was a pre conference the

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Speaker 2: cees and what were they talks and such?

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Speaker 1: It was actually it was kind of fun.

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Speaker 3: It was like a shark tank style pitch session from

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Speaker 3: a bunch of these companies. There was one about incorporating

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Speaker 3: some technology into golf clubs that would analyze your swing.

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Speaker 1: There was another. There was another on.

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Speaker 3: Like it was a pool uh, contaminant analysis machine.

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Speaker 1: Is this like a pee detector?

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Speaker 2: No, because it's not that those are useless, but like

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Speaker 2: those very much exists.

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Speaker 1: Yes, yes, So it was kind of.

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Speaker 3: Like it's not like they were showing off like the

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Speaker 3: cutting edge of it was. It was it was people

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Speaker 3: trying to break into the American market from Asia.

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Speaker 4: I mean, what Korea really needs to introduce to America

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Speaker 4: clearly is hidden cameras and dressing room. They are the

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Speaker 4: world leaders and incredibly vegic uses of hidden cameras.

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Speaker 2: Yeah, Vegas needs more perverts and chicken and and also

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Speaker 2: like also like rising up in the face of fascism.

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Speaker 1: Yeah, that was an export that we would welcome here.

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Speaker 2: Well, just other than all that, have you walked around

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Speaker 2: CS atoll.

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Speaker 1: A lot less actually than last year.

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Speaker 3: I'd say I spent some more time off the showroom

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Speaker 3: before talking to people, but quite a bit. And I

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Speaker 3: mean it felt I think we talked about this last year.

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Speaker 3: I mean, this is my second sees oh and last year,

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Speaker 3: I mean you come into it and it's all this

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Speaker 3: cool stuff that you've never seen before, concentrate in on space.

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Speaker 3: And this year I remember people talking about like, this

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Speaker 3: feels a lot similar last year, and now that I'm

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Speaker 3: a returning guest, Yeah, I understand why that feeling existed.

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Speaker 2: Yeah, it's this kind of echoing. It's very strange this year,

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Speaker 2: like it feels like last year, but with less stuff

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Speaker 2: like they were there at least felt like there was

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Speaker 2: some things to look at last year that we're like, oh,

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Speaker 2: that's fun.

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Speaker 1: I do I remember them that.

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Speaker 3: God, No, I saw a lot of smart picture frames.

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Speaker 3: That was a really big one.

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Speaker 1: This year.

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Speaker 2: Yeah, I saw one that was completely broken.

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Speaker 1: It was with like eeing.

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Speaker 5: No.

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Speaker 1: I actually quite liked.

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Speaker 2: The idea because I'd only seen them in pictures. And

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Speaker 2: then you see whenever they cycle kind of like a

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Speaker 2: kindle like all eating think they flash up the yeah,

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Speaker 2: and it's like just the static image I'd be okay with,

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Speaker 2: but the moment it's like be like, yeah, that's shit

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Speaker 2: off my wak.

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Speaker 1: But I like the idea. I like the idea.

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Speaker 4: I know what you can't see by looking at the

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Speaker 4: gadget itself is the back end. And that's the whole thing, right,

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Speaker 4: Like what is what is the experience of adding images

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Speaker 4: to it? And my wife just moved overseas. Uh, we're

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Speaker 4: living in two different continents right now. And our hustmate

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Speaker 4: gave her a smart camera for a picture frame for Christmas, right,

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Speaker 4: and we, you know, sort of together conspire to put

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Speaker 4: a bunch of photos in the camera's cloud accounts so

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Speaker 4: that when she set it up at home overseas that

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Speaker 4: she would get all these photos preloaded. And it sucked.

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Speaker 4: It just really sucked at importing photos. It wouldn't take

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Speaker 4: native resolution. We had to down res everything. God, it

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Speaker 4: just it's yeah, it was like, do you remember what

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Speaker 4: brand I do?

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Speaker 6: Not?

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Speaker 2: I got one from my parents a few years ago

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Speaker 2: and the app was like and it.

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Speaker 4: Was all on an app, right, So like, which is

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Speaker 4: fine if you're out and about taking pictures and you

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Speaker 4: are sending the picture to the frame, But when you're

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Speaker 4: setting at the frame, de nova.

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Speaker 1: I have ten thousand photos on my.

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Speaker 4: Laptop and we're had to take a subset of them

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Speaker 4: and put them in the frame, and like phones are

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Speaker 4: very bad for that. Yeah, and I did this elaborate

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Speaker 4: thing where I plugged my phone in, moved seven hundred

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Speaker 4: photos from my laptop to my phone, then use the

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Speaker 4: app which only let me select one.

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Speaker 1: Hundred photos at a time to upload the phone like

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Speaker 1: it was, and none of that is visible.

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Speaker 2: Right.

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Speaker 4: You can be on the trap floor and you can

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Speaker 4: be like, this is the most beautiful frame I've ever seen.

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Speaker 4: But if it's a giant pin in the ass to

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Speaker 4: get pictures into, who cares.

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Speaker 3: I will say I was interviewing someone at their home

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Speaker 3: once and they had one in their living room and

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Speaker 3: it changed one point or it was either that or

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Speaker 3: they told me it was. I had no idea that

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Speaker 3: it was digital until you told me so. For the

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Speaker 3: people who are coming into your home who did not

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Speaker 3: see the hassle sure of getting it that works?

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Speaker 1: Yeah, yeah, it's I don't know.

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Speaker 2: It feels like a very easy to solve thing. Feels

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Speaker 2: like it should just be like an ftpiece of with

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Speaker 2: like a.

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Speaker 4: As a fallback right. Yeah, here's here's a thing you

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Speaker 4: drag images into. Be easy, but it isn't welcome to

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Speaker 4: see you and have the app on my phone.

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Speaker 2: Yeah yeah, let you find out one contrastition name and

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Speaker 2: shame boo.

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Speaker 1: I don't know too many bring back shamed flander. No

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Speaker 1: it's not. It's not come back to me. It's Aura

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Speaker 1: A U R A or.

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Speaker 2: I thought that was meant to be one of the

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Speaker 2: easy ones too.

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Speaker 4: I'm sure it's very easy if you are sending off

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Speaker 4: photo to it.

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Speaker 1: That one gets advertised on podcasts.

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Speaker 4: Yeah, it's well, it means Casper mattresses have photo frames.

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Speaker 1: We're anti stamps dot Com. We're inside the Aura frame.

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Speaker 2: Don't try and sell me a fucking mattress unless you

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Speaker 2: give me one stepsot Com got a.

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Speaker 1: Web interface yet because it was Windows only.

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Speaker 2: I got no idea. Man, when I need stamps to

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Speaker 2: go to the post office, do.

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Speaker 1: You know what?

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Speaker 4: I have a private mail box where I get my

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Speaker 4: mail because I don't want to give my home address

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Speaker 4: to random right and uh, I gave them a credit

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Speaker 4: card number and they charge one hundred bucks credit at

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Speaker 4: a time. And I walk in with all my parcels

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Speaker 4: and I'm like, here's the parcels, and I wut again.

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Speaker 1: I don't have to wait for them to weigh.

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Speaker 4: Them, and I don't have to wait to all surprise them,

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Speaker 4: and they just I get an emailed receipt.

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Speaker 1: It is so good Post office fucking rules. Yeah. Well

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Speaker 1: for a private mailboxes too.

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Speaker 2: Okay, okay, well yeah, so ed have you been I've

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Speaker 2: been doing. How was your last day?

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Speaker 1: It's good.

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Speaker 7: I got to walk around o VCCC all the shit

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Speaker 7: gadgets with Corey and it was really interesting. I mean,

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Speaker 7: the stuff I think that interested us most was like

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Speaker 7: we talked about the devices that seem like, Okay, this

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Speaker 7: is a real thing. We want a manufacturer to integrate

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Speaker 7: it into their supply chain so they can scale it up,

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Speaker 7: but you can't get it. Well, you know, chargers you

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Speaker 7: talked you know, do you thought there were some chargers

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Speaker 7: that Corey pointed out that seemed nice, some cameras that

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Speaker 7: seemed nice, But otherwise there were just a bunch of

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Speaker 7: devices where it's like, I don't think i'd ever get

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Speaker 7: this hand massager.

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Speaker 1: That was very fun.

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Speaker 4: I think the weirdest advertising for that.

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Speaker 7: Hand all was weird little sign that made it look

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Speaker 7: like it was going to eat your hand.

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Speaker 1: So Massadi is your hands.

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Speaker 4: Yeah, it was like that Benny jesserte y thing you

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Speaker 4: stick your hand. They did have a sound, so it

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Speaker 4: had a sign, right, They said like do you dare

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Speaker 4: to put your hand in it? And it had a

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Speaker 4: monster's mouth around the aperture your hand went into. And

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Speaker 4: then when you read the marketing more closely, it was

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Speaker 4: like the virtuous will feel delightful.

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Speaker 1: Yeah, and you put your hand in.

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Speaker 4: A sensor detected it and then it started inflating the

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Speaker 4: little Okay, I know, it feels like the first step

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Speaker 4: and like cultivating myself.

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Speaker 2: I just want to be clear though the thing sucks,

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Speaker 2: but the virtuous will feel delightful. It is something I'm

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Speaker 2: going to be saying for the rest of my life.

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Speaker 7: Apparently I'm not virtuous because I felt that. I was

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Speaker 7: like it kind of just feels like two things are.

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Speaker 2: Grinding against my hand, virus.

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Speaker 7: And it's like, hey, if I want to go. If

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Speaker 7: I want that, I'll to go to like some packed

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Speaker 7: conference or I'll come back on the first day.

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Speaker 6: Yeah.

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Speaker 2: Like it's like if you need to give you a

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Speaker 2: hand a message, you have two of them. I guess

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Speaker 2: if you want to do both once, it might be

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Speaker 2: a chat.

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Speaker 4: You know the amazing safety label that's the two gears

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Speaker 4: with the hand being squished. Yeah, yeah, yeah, that's kind

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Speaker 4: of what I want.

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Speaker 2: Yeah. Pleasant, you know, it's like an incredible machine situation,

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Speaker 2: but with just my hands, like a cat jumps on

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Speaker 2: the thing and it crushes it. Just a beg aanvil

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Speaker 2: would be great at the end of this week. Just

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Speaker 2: let me just fall under the end anyway, But nothing

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Speaker 2: impressive at the end of the day is same old shite.

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Speaker 7: No, I mean, this is the thing. I mean, we

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Speaker 7: talked about this a little bit. Also, I feel like,

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Speaker 7: you know, I am of the group that is the

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Speaker 7: wrong group for it, because I come into it feeling

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Speaker 7: I think, disappointed broadly, because there's a lot that I

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Speaker 7: would like to see and I don't see it.

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Speaker 2: Well, what would you'd like to say?

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Speaker 1: I would I would like to see.

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Speaker 7: I am listen if someone can make uh you know,

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Speaker 7: for example, there's a lot of pitches about AI assistance

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Speaker 7: that can be integrated into your home and make you know,

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Speaker 7: task management a bit easier, schedule management a bit easier.

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Speaker 1: Things like this.

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Speaker 7: You know, I would be open to something that seem

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Speaker 7: to be doing that. But a lot of the times,

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Speaker 7: you know, when we pressed them, it's more so like

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Speaker 7: what if you went on Chatchy bet yourself and chose

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Speaker 7: the third best answer for each thing and then integrated

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Speaker 7: that and organized your life around that. It's you know,

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Speaker 7: so it's just it's a lot of times I feel

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Speaker 7: like what I'm actually seeing is not even someone who

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Speaker 7: tried to solve a problem, but someone the I mean

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Speaker 7: they did. The problem they solved was how do I

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Speaker 7: how do I make money off of this?

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Speaker 2: Right?

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Speaker 1: Yeah, you know that's really what it was.

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Speaker 3: I'm like, I'm not a tech person, I'm a a

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Speaker 3: local reporter here, but I mean, I feel like, and

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Speaker 3: this is kind of what I'm curious about, your guys

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Speaker 3: thoughts on it. How much of the things on the

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Speaker 3: showroom floor, just like repackaged CHATCHYPT models into other different package.

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Speaker 4: Actually be easier to ask how many works?

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Speaker 1: Yeah? Yeah, deadly.

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Speaker 2: We need like a cat in the hat where it's

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Speaker 2: not a situation for this, I'm what's.

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Speaker 1: Funny is generally surprised most were lost. Yeah.

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Speaker 2: I remember being like, oh, I'm being a cynic whatever

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Speaker 2: and sleeping for hours every night, so I felt particularly spicy,

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Speaker 2: but people still came in, like journalists came in and like,

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Speaker 2: oh I saw some cool shit. Oh it made me laugh.

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Speaker 2: It was kind of weird, but you know, I enjoyed

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Speaker 2: it this year. Even the gadget reporters, even the gadget

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Speaker 2: reporters who were like, you know what, not gonna be cynical,

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Speaker 2: I'm gonna be excited to be here, we're kind of like, yeah,

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Speaker 2: you know, there's a lot of stuff that doesn't exist,

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Speaker 2: and then the stuff that does exist wasn't very good.

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Speaker 2: And even the companies that usually make stuff that are good,

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Speaker 2: well they didn't. And also LG was here with a robot.

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Speaker 2: And it's strange because long term listeners will know like, yeah,

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Speaker 2: I'm a cynic whatever, but I want to hear some

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Speaker 2: fun do that's some fun things, and it's like not

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Speaker 2: even this year like this is it feels like we're

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Speaker 2: in the depression. At CES, a lot of AI children's

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Speaker 2: toys very horrible.

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Speaker 5: Yeah, a lot of aih evil, evil shit, Like Robert

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Speaker 5: found this one that was like an LLM horoscope Furby

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Speaker 5: creature that I want to hit with a baseball bat.

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Speaker 7: I want to Finally enough, there's a demo for one

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Speaker 7: where you can hit it with a baseball.

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Speaker 1: Yeah, but wasn't that the one where Robert had the

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Speaker 1: video and it's just like dancing like Michael Jackson.

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Speaker 2: And then you just fucking hit it with sticks. I

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Speaker 2: want to put a bottle. I want to do free

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Speaker 2: boat on top of that, fuck out of it.

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Speaker 4: There's an old American children's show called The Andy Devine Show,

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Speaker 4: and there was a character on that show called Froggy

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Speaker 4: who is like a frog, and he was a mischief

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Speaker 4: figure and he would as Andy Devine was speaking, he

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Speaker 4: would he would grunt, he would like growl out these uh,

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Speaker 4: subliminal suggestions.

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Speaker 1: It's like, then you.

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Speaker 4: Put the peanut butter in your hair, Yes, you do,

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Speaker 4: you do? And then Andy Devine would start putting peanut

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Speaker 4: butter in his hair. And every time I see an

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Speaker 4: LLM toy for children, I'm like, eventually, like you're gonna

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Speaker 4: leave the room and it's gonna.

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Speaker 1: Say and then you put the knife in your parents?

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Speaker 3: You do?

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Speaker 1: You do?

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Speaker 3: But that's already happening with like actual chat Have we not.

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Speaker 4: Seen the hack horror movies that start with the doll

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Speaker 4: that says I'm chatty.

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Speaker 1: Cathy and I want to be your friend. I'm Jeddy

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Speaker 1: Katy to kill you. The story is just going to

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Speaker 1: activate someone, you know.

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Speaker 2: This time it's going to be like Taiwan is part

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Speaker 2: of China, like ever mentioned Winnie Pooh and Winnie that

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Speaker 2: poo in mysent to make you feel No, it's just

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Speaker 2: and it's just like it's I think what it might be,

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Speaker 2: and after thinking about this too much for too long,

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Speaker 2: it's just papering over the laziness that already existed at Yes,

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Speaker 2: I don't think like there's something exceptional about the activity

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Speaker 2: so much as they found it's the panacea panic. I

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Speaker 2: never know panacea. It's like a panacotta. The panakotta everyone's

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Speaker 2: using is just the Okay, we're looking for a quick

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Speaker 2: and easy thing. There was the IoT era, or there

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Speaker 2: was the metaverse, ere like a thing we could build

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Speaker 2: around that would get us funding. But this year it's

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Speaker 2: like we found the ultimate thing to staple ship too.

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Speaker 2: And I know it's sounded like a broken record, but

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Speaker 2: it's like, come the funk on, you haven't even got

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Speaker 2: a thinner light a laptop. There was like one new

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Speaker 2: thinner light a laptop one. It was like I think

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Speaker 2: it's maybe Chelgy, I don't funk know. Samsung wasn't even

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Speaker 2: on the floor where what what the hell? We don't

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Speaker 2: even get a weird Samsung booth with like a wall

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Speaker 2: of televisions. The LG transparent old was just a tiny

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Speaker 2: little one.

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Speaker 1: I want one.

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Speaker 2: That's large and obviously can never be purchased, she said,

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Speaker 2: like a monument. Now she just she mostly just says

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Speaker 2: it's okay, it's okay, it happens, but it's it's just

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Speaker 2: you don't need to. It's just kind of frustrating because

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Speaker 2: I'm not reflexible. I just want to see some dude,

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Speaker 2: ad give me a like Michael Fisher came in and

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Speaker 2: showed the clicks, the shell of the Clicks, the Android

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Speaker 2: phone that's got like it's basically like a new BlackBerry,

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Speaker 2: fucking lovely. Yeah, you have new things four hundred bucks something.

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Speaker 1: Yeah, it's something.

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Speaker 2: It's also you know what, it's using existing tools Android

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Speaker 2: and you can manufacture overseas.

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Speaker 1: Wonderful.

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Speaker 2: Cool. We built a new thingy this year. It's like

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Speaker 2: we didn't build anything.

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Speaker 4: I think you're in the wrong part of the whole

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Speaker 4: because because when we were back in the crack Adge

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Speaker 4: its There was so much of that, but it's in

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Speaker 4: the so like the thing is that the stuff that

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Speaker 4: you use every single day, right, like your charter, Yeah,

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Speaker 4: is stuff that has an enormous bearing on your quality

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Speaker 4: of right, Like if your charger's fucked, you are fucked.

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Speaker 1: Right. It's a low margin item and it has barely

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Speaker 1: been optimized. Yeah.

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Speaker 4: And in this pro over Delta and around the Pacific

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Speaker 4: rim there are a lot of incredibly clever mechanical engineers

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Speaker 4: and product designers who are sort of turning their intellect

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Speaker 4: to this.

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Speaker 2: I agree, And like ANKA for example, is a great company,

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Speaker 2: even like GPD who makes these really interesting devices for

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Speaker 2: one hundred people. It's like it'll be a PlayStation portable

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Speaker 2: sized gaming PC that costs two thousand dollars and superheats

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Speaker 2: in your hands, so it needs an external battery. Those

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Speaker 2: ones I didn't see having a prominent.

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Speaker 4: But but you go back to the booths where that

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Speaker 4: we only do wholesale. We have a minimum ten thousand

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Speaker 4: unit order. So I was you were there earlier, but

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Speaker 4: we were off where I was talking about this thing

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Speaker 4: that I saw that was the British electrical adapter for

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Speaker 4: your charger that you carry around in your bag, and

402
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Speaker 4: so people who aren't familiar with it, the British Electrical

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Speaker 4: adapter that the plug is the world's ultimate cal drop.

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Speaker 1: It's this incredibly It's.

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Speaker 2: Just like a big spikey like gold yeah, big like chunky.

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Speaker 1: Yeah.

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Speaker 4: And you know, I lived in London for thirteen years

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Speaker 4: and and I'm moving back there again. And like the chargers,

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Speaker 4: it's hard to carry around. It puts holes in your pockets, yeah,

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Speaker 4: snags on things of your back.

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Speaker 2: It's a real thing and it's an actual quite easily.

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Speaker 1: Yeah.

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Speaker 4: So these this charger was it had the three prongs

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Speaker 4: and when you fold it, they all folded down together

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Speaker 4: in unison. They were they hit some sort of mechanical linkage.

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Speaker 4: They made the most satisfying little when you snap them

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Speaker 4: down and when you snap them back up again. It

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Speaker 4: was a beautiful piece of mechanical engineering. If you owned

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Speaker 4: it and you lived in the UK every single day,

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Speaker 4: you would use this thing and your life would be better.

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Speaker 1: Yeah. Right, that's that's like pure.

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Speaker 4: We were asking on the last recording session, where were

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Speaker 4: the consumer gadgets that is a consumer gadget that would

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Speaker 4: see daily use and make a significant difference in your life.

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Speaker 1: I agree, it's.

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Speaker 2: Just that that is like one percent of this show. No,

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Speaker 2: I agree, yeah, And that's that's my principal thing is

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Speaker 2: not that those things aren't here. Though there are less

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Speaker 2: of them, there are remarkably less of them. Like last

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Speaker 2: year there were more of the year before that way

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Speaker 2: like there was tons of them.

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Speaker 1: This year.

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Speaker 2: I saw one booth and I wish I could remember

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Speaker 2: because it was just The problem is as well is

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Speaker 2: a lot of the ones I saw were just the

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Speaker 2: same old ship we've had for years. Anchor is doing

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Speaker 2: some cool stuff. Was gallium nitrite with making the plugs small?

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Speaker 1: Oh yeah plugs.

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00:19:40,280 --> 00:19:44,320
Speaker 2: Yeah, they're fucking amazing. They're awesome. Didn't even see any

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Speaker 2: new interesting gang stuff. And like Anchor, I give too

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Speaker 2: much money because they always got some new, thinner, weird

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Speaker 2: one with a cable in it.

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Speaker 1: I'm fucking do you know what.

444
00:19:53,160 --> 00:19:56,000
Speaker 4: The downside of gan plugs is they draw so many watts.

445
00:19:56,000 --> 00:19:59,560
Speaker 4: They're such good chargers that they blow the breaker on

446
00:19:59,640 --> 00:20:02,880
Speaker 4: airplace seats on the mains on a plate. If you've

447
00:20:02,880 --> 00:20:05,680
Speaker 4: got like a hundred white wine in the Little Green

448
00:20:06,320 --> 00:20:06,720
Speaker 4: a meeting, I.

449
00:20:06,760 --> 00:20:08,560
Speaker 2: Dropped my prime on that bitch all the time, and

450
00:20:08,560 --> 00:20:10,280
Speaker 2: it's fine. Anchor's got there.

451
00:20:10,359 --> 00:20:12,679
Speaker 4: I've I've had I've got two different gang chargers in

452
00:20:12,680 --> 00:20:13,000
Speaker 4: my bag.

453
00:20:13,200 --> 00:20:14,159
Speaker 1: Neither of them work.

454
00:20:14,080 --> 00:20:17,960
Speaker 2: Reliable, explains No, I've been very lucky then, because I

455
00:20:18,960 --> 00:20:21,000
Speaker 2: is it a sixty five white though one hundred and

456
00:20:21,040 --> 00:20:24,680
Speaker 2: twenty five and fifty even you've gotten lucky that this well,

457
00:20:24,680 --> 00:20:25,879
Speaker 2: it's just also it does.

458
00:20:25,760 --> 00:20:28,919
Speaker 1: Get very hot, right, but it is on right, and

459
00:20:28,960 --> 00:20:29,360
Speaker 1: I can chrut.

460
00:20:29,600 --> 00:20:31,320
Speaker 2: I look like a real prick because I've just got

461
00:20:31,359 --> 00:20:34,240
Speaker 2: this thing on the side, just like sure, just balancing

462
00:20:34,280 --> 00:20:37,919
Speaker 2: barely on the side. Oh no, it's you're coming on

463
00:20:38,000 --> 00:20:41,800
Speaker 2: to talk about the local Vegas area, and like the

464
00:20:42,160 --> 00:20:45,840
Speaker 2: effect of CS even Vegas feels a little quieter, Like

465
00:20:46,080 --> 00:20:47,920
Speaker 2: we were just discussing earlier how there was like a

466
00:20:48,080 --> 00:20:50,000
Speaker 2: chunk of the plants or of Venetian and I can't

467
00:20:50,000 --> 00:20:52,720
Speaker 2: remember it was just closed, just like no tables. Yeah

468
00:20:52,760 --> 00:20:55,320
Speaker 2: that oh, no local residence of local resident. That fucking

469
00:20:55,400 --> 00:20:57,560
Speaker 2: terrifies me. If I ever see like an empty area

470
00:20:57,600 --> 00:21:00,000
Speaker 2: of a casino like no tables either, I'm always like,

471
00:21:00,400 --> 00:21:03,760
Speaker 2: unless there is a poka, a poka tournament or a

472
00:21:03,760 --> 00:21:07,920
Speaker 2: craps class to take tourists in and kind of con

473
00:21:08,000 --> 00:21:09,840
Speaker 2: them into believing they can beat the odds.

474
00:21:09,840 --> 00:21:12,520
Speaker 1: Fuck yeah, yeah, they can. They can get it.

475
00:21:12,640 --> 00:21:15,399
Speaker 2: Kind of well, I mean pastline. But it's just it

476
00:21:15,520 --> 00:21:19,680
Speaker 2: feels like everything. Maybe it's just the wide world. Yeah,

477
00:21:19,760 --> 00:21:21,920
Speaker 2: I mean, I think it's a mix of things. Las

478
00:21:22,040 --> 00:21:24,920
Speaker 2: Vegas has definitely had a decline in visitation.

479
00:21:24,600 --> 00:21:25,240
Speaker 1: Throughout the year.

480
00:21:26,160 --> 00:21:29,400
Speaker 3: I have I have notes next to me, please, So

481
00:21:29,480 --> 00:21:32,720
Speaker 3: through November of twenty twenty five compared to twenty twenty four,

482
00:21:32,880 --> 00:21:35,680
Speaker 3: it's a seven point four percent decline in visitation.

483
00:21:36,400 --> 00:21:36,640
Speaker 1: Uh.

484
00:21:37,119 --> 00:21:39,640
Speaker 3: To be fair, twenty twenty four is a record year.

485
00:21:39,960 --> 00:21:43,200
Speaker 3: Part of that is pent up interest from the pandemic

486
00:21:43,320 --> 00:21:48,920
Speaker 3: that got everyone going everywhere that was interested in travel.

487
00:21:49,040 --> 00:21:51,479
Speaker 3: But that's still a drop of two point eight million

488
00:21:51,480 --> 00:21:53,400
Speaker 3: people right going to media.

489
00:21:53,600 --> 00:21:58,119
Speaker 4: And two point seven million other Canadian Well, I mean I.

490
00:21:57,800 --> 00:21:58,720
Speaker 1: Got those numbers too.

491
00:21:59,400 --> 00:22:02,640
Speaker 3: Yeah, I mean I think international travel definitely been affected.

492
00:22:03,160 --> 00:22:04,520
Speaker 3: I think it does surprise a lot of people when

493
00:22:04,560 --> 00:22:07,919
Speaker 3: they look at the numbers at Harrod International Airport that

494
00:22:08,040 --> 00:22:11,560
Speaker 3: the bigger client actually was in domestic really lights.

495
00:22:11,359 --> 00:22:14,240
Speaker 2: Yeah, it's do you have any idea why?

496
00:22:14,840 --> 00:22:16,200
Speaker 1: Well, I think there's a couple of things.

497
00:22:16,320 --> 00:22:20,440
Speaker 3: One, I when you look at travel and the process

498
00:22:20,520 --> 00:22:25,480
Speaker 3: of it right the in my opinion, the most important

499
00:22:25,480 --> 00:22:29,000
Speaker 3: thing is consumer sentiment at that moment and forward, forward

500
00:22:29,000 --> 00:22:33,560
Speaker 3: looking sentiment. If you don't feel comfortable in your if

501
00:22:33,560 --> 00:22:37,120
Speaker 3: you don't feel comfortable in your position, you know, for

502
00:22:37,200 --> 00:22:40,160
Speaker 3: feeding your family or just paying the bills on time

503
00:22:40,760 --> 00:22:45,080
Speaker 3: you are not traveling. But at the same time, I

504
00:22:45,119 --> 00:22:47,200
Speaker 3: will say, I think this is an important note because

505
00:22:47,240 --> 00:22:48,600
Speaker 3: I think a lot of the narrative has been like

506
00:22:48,680 --> 00:22:51,440
Speaker 3: Las Vegas is dead, which it is. It really hasn't

507
00:22:51,440 --> 00:22:53,640
Speaker 3: beg No, I would I would push back on that

508
00:22:53,760 --> 00:22:56,120
Speaker 3: because when you actually look at the gaming revenue it.

509
00:22:56,040 --> 00:22:58,720
Speaker 1: Is up this year. Is that because they're gouging more

510
00:22:58,760 --> 00:22:59,359
Speaker 1: though they.

511
00:23:01,359 --> 00:23:04,439
Speaker 3: Well that Actually there's been some efforts to scale that

512
00:23:04,520 --> 00:23:08,119
Speaker 3: back because people were getting very angry, and there was

513
00:23:08,160 --> 00:23:12,280
Speaker 3: a large narrative online that, like the the destination marketing

514
00:23:12,359 --> 00:23:14,880
Speaker 3: organization here in Las Vegas has tried to push back against.

515
00:23:16,920 --> 00:23:21,280
Speaker 1: But the sor I'm trying to think about those say

516
00:23:21,280 --> 00:23:22,119
Speaker 1: of phrases.

517
00:23:22,840 --> 00:23:28,200
Speaker 3: The actual spend was higher, and I think, and I'm

518
00:23:28,240 --> 00:23:30,240
Speaker 3: not going to act like I have a definitive this

519
00:23:30,400 --> 00:23:33,240
Speaker 3: is why. But I think in all sectors you're seeing

520
00:23:33,240 --> 00:23:38,840
Speaker 3: an increasingly bifurcated economy right k shaped and what does

521
00:23:38,880 --> 00:23:42,200
Speaker 3: that mean for those of us suits that the really

522
00:23:42,320 --> 00:23:46,600
Speaker 3: rich are doing very very well and that the rest

523
00:23:46,680 --> 00:23:47,320
Speaker 3: of us are not.

524
00:23:48,440 --> 00:23:50,680
Speaker 2: Of the consumption is the top death sile So that

525
00:23:50,800 --> 00:23:53,760
Speaker 2: coming at this, that is that I mean if you

526
00:23:53,800 --> 00:23:56,199
Speaker 2: look at when, if you look at other you know,

527
00:23:56,400 --> 00:23:58,320
Speaker 2: high end, I don't have the numbers.

528
00:23:58,400 --> 00:24:00,840
Speaker 1: Those numbers right in front of me. They're doing okay.

529
00:24:02,880 --> 00:24:05,600
Speaker 3: So I think there is like discussion of price gouging,

530
00:24:05,600 --> 00:24:08,280
Speaker 3: and I think that was a really big factor. You

531
00:24:08,359 --> 00:24:11,400
Speaker 3: mentioned Canadians I talked to at the beginning of the year.

532
00:24:11,800 --> 00:24:13,800
Speaker 1: I went to a Winnipeg.

533
00:24:13,440 --> 00:24:16,639
Speaker 3: Jets game here at Nice I stood outside and I

534
00:24:16,680 --> 00:24:18,800
Speaker 3: was just interviewing people who were coming in. This was

535
00:24:18,880 --> 00:24:23,919
Speaker 3: right after or right around when Trump took office, And

536
00:24:24,080 --> 00:24:26,879
Speaker 3: obviously when you're going to talk to Canadians who were

537
00:24:26,880 --> 00:24:28,840
Speaker 3: in Vegas, it's a big sampling bias.

538
00:24:29,119 --> 00:24:30,800
Speaker 1: Of these are the people who didn't care.

539
00:24:32,320 --> 00:24:33,879
Speaker 3: Most of them did and they said, you know, I

540
00:24:33,960 --> 00:24:35,920
Speaker 3: scheduled this month ago not coming back.

541
00:24:37,280 --> 00:24:40,240
Speaker 1: And the November numbers those they do have a friend

542
00:24:40,240 --> 00:24:41,280
Speaker 1: of me. In November.

543
00:24:41,320 --> 00:24:44,800
Speaker 3: Travel into Vegas from Air Canada compared to last year

544
00:24:45,160 --> 00:24:46,399
Speaker 3: fell twenty six percent.

545
00:24:46,760 --> 00:24:47,440
Speaker 1: Jesus Christ.

546
00:24:47,840 --> 00:24:51,520
Speaker 4: And the discount carriers are worse, right, Yeah, ultra low cost.

547
00:24:51,280 --> 00:24:54,840
Speaker 3: Carriers are having a hard time. Spirits kind of its own.

548
00:24:54,720 --> 00:24:58,000
Speaker 4: Thing, starving the Canadian discount, the Western Charter flights, West Chat,

549
00:24:58,040 --> 00:24:59,560
Speaker 4: and there's another one, I forget what they're called.

550
00:25:00,160 --> 00:25:03,000
Speaker 2: Canadian Okay, west Jet was thirty three point two.

551
00:25:02,880 --> 00:25:04,520
Speaker 1: Percent decline Jesus Christ.

552
00:25:05,160 --> 00:25:09,880
Speaker 3: And that's just for Canes. There's actually have been uh

553
00:25:10,119 --> 00:25:12,359
Speaker 3: that's been made up in some other countries coming to

554
00:25:12,480 --> 00:25:14,600
Speaker 3: United States. But there's also all these policies coming down

555
00:25:14,600 --> 00:25:18,480
Speaker 3: the pipeline where I believe it was Customs and Border

556
00:25:18,520 --> 00:25:21,080
Speaker 3: Protection had a proposal of people coming into the country,

557
00:25:21,080 --> 00:25:22,760
Speaker 3: many of the folks who be coming into the country

558
00:25:23,440 --> 00:25:27,440
Speaker 3: having to share five years of social media activity. Yeah,

559
00:25:26,720 --> 00:25:30,600
Speaker 3: which I reached out to the Nevada Resort Association and

560
00:25:30,640 --> 00:25:33,480
Speaker 3: they're like, we are monitoring this because it's I mean,

561
00:25:34,960 --> 00:25:39,360
Speaker 3: I'm not going to speak for the country at all,

562
00:25:39,480 --> 00:25:41,640
Speaker 3: but I think when you look at all this intertality,

563
00:25:43,680 --> 00:25:47,840
Speaker 3: the United States is not being super welcoming to people

564
00:25:47,880 --> 00:25:52,120
Speaker 3: coming here. I mean, you know, mentioning the Korea event earlier,

565
00:25:52,800 --> 00:25:54,960
Speaker 3: I talked to one of the organizers and he was

566
00:25:54,960 --> 00:25:58,360
Speaker 3: talking to me about how after there was that ice

567
00:25:58,520 --> 00:25:59,520
Speaker 3: raid in.

568
00:26:00,280 --> 00:26:04,119
Speaker 1: Was Georgia specifically against South South are.

569
00:26:04,119 --> 00:26:06,560
Speaker 3: There are South Koreans, many of them were not all

570
00:26:07,520 --> 00:26:10,639
Speaker 3: that he had to be convincing people that it was

571
00:26:10,720 --> 00:26:12,760
Speaker 3: okay to come to the United States, that they should,

572
00:26:12,880 --> 00:26:14,200
Speaker 3: that they can still come to see.

573
00:26:14,200 --> 00:26:18,720
Speaker 4: Sir to America. There is a class of migrant They're welcoming.

574
00:26:19,119 --> 00:26:21,359
Speaker 4: If you are the former dictator of Honduras who's been

575
00:26:21,359 --> 00:26:25,480
Speaker 4: convicted of multiple narco trafficking charges, white South Africans, you

576
00:26:25,520 --> 00:26:31,920
Speaker 4: will be Yeah.

577
00:26:29,000 --> 00:26:32,000
Speaker 2: It's and I mean this is specifically a place that

578
00:26:32,040 --> 00:26:34,879
Speaker 2: attracts you based on being free and easy and quick

579
00:26:34,920 --> 00:26:38,240
Speaker 2: and simple. And it's all of these little roadblocks, these

580
00:26:38,280 --> 00:26:41,680
Speaker 2: little additions that you just make it like. You can't

581
00:26:41,840 --> 00:26:43,480
Speaker 2: treat this like adult Disneyland.

582
00:26:43,560 --> 00:26:46,320
Speaker 4: What happens in Vegas gets imprisoned, definitely in Vegas.

583
00:26:46,800 --> 00:26:50,000
Speaker 2: What happens in Vegas requires a long form Now it's

584
00:26:50,119 --> 00:26:52,800
Speaker 2: just like I don't know. And also the hotels are

585
00:26:52,840 --> 00:26:55,359
Speaker 2: not as cheap as they used to be. It used

586
00:26:55,400 --> 00:26:57,600
Speaker 2: to be you could you could roll your ass into

587
00:26:57,600 --> 00:26:59,800
Speaker 2: Ballys for forty five bucks a night if you felt.

588
00:26:59,640 --> 00:27:04,520
Speaker 3: Like well, there's also a resort fees that people are.

589
00:27:01,520 --> 00:27:04,479
Speaker 4: Very those are bug fee by the way, I was wondering,

590
00:27:04,680 --> 00:27:08,239
Speaker 4: I paid the extra bud okay, Uh, that's that you

591
00:27:08,280 --> 00:27:09,120
Speaker 4: get that one special.

592
00:27:09,640 --> 00:27:12,600
Speaker 2: That's the Canadian special they call it. It's just frustrating

593
00:27:12,600 --> 00:27:15,080
Speaker 2: as well because this place. I love Vegas. I love

594
00:27:15,160 --> 00:27:18,600
Speaker 2: being here. It's a vending machine city. Uh. My addiction

595
00:27:18,720 --> 00:27:21,680
Speaker 2: is not coke. So that's been great for the Cocla corporation,

596
00:27:21,760 --> 00:27:24,160
Speaker 2: but it's like adding these roapebooks fucks up a place

597
00:27:24,240 --> 00:27:26,680
Speaker 2: like this so much, which is based on convenience.

598
00:27:26,920 --> 00:27:29,000
Speaker 3: Yeah, I mean, I think when you look at the

599
00:27:29,040 --> 00:27:31,520
Speaker 3: different narratives people are putting out about Las Vegas. I

600
00:27:31,560 --> 00:27:34,600
Speaker 3: know local Democrats have labeled this the Trump slump that's there.

601
00:27:34,720 --> 00:27:37,360
Speaker 3: That's their big thing going into We have a governor's

602
00:27:37,440 --> 00:27:39,679
Speaker 3: race this year, and that is a big part is

603
00:27:39,800 --> 00:27:44,159
Speaker 3: tying the current governor, Joe Lombardo, to the policies of

604
00:27:44,160 --> 00:27:49,760
Speaker 3: the Trump administration. I'm skeptical about how well that's gonna

605
00:27:49,800 --> 00:27:53,439
Speaker 3: work because I think it's a lot more complicated than

606
00:27:53,560 --> 00:27:57,520
Speaker 3: just Trump. It's a larger administration thing. It's also this

607
00:27:57,680 --> 00:28:01,560
Speaker 3: idea that Las Vegas is price gouging people, regardless of

608
00:28:01,760 --> 00:28:04,280
Speaker 3: how true that is for a specific location. I mean,

609
00:28:04,280 --> 00:28:07,240
Speaker 3: there's like the infamous twenty six dollars water bottle that's

610
00:28:07,280 --> 00:28:09,800
Speaker 3: like I think was coming up from like a mini

611
00:28:09,800 --> 00:28:12,439
Speaker 3: barn someone's room that like Fox News is reporting on.

612
00:28:12,680 --> 00:28:14,520
Speaker 2: But the thing is, we're in the plot someone I

613
00:28:14,560 --> 00:28:17,840
Speaker 2: like staying here. It's the fucking case here the resort

614
00:28:17,880 --> 00:28:21,280
Speaker 2: fee every night, and it's like these resort fees kill people.

615
00:28:21,440 --> 00:28:24,280
Speaker 2: Not literally, well the rest of Vegas does that maybe,

616
00:28:24,280 --> 00:28:28,560
Speaker 2: but not really. It's like the little needling things that

617
00:28:28,640 --> 00:28:31,679
Speaker 2: Vegas did. And it's not just post twenty twenty one,

618
00:28:31,720 --> 00:28:33,480
Speaker 2: but it's like, if you're gonna do this to a

619
00:28:33,480 --> 00:28:37,560
Speaker 2: place where it's about just kind of like frictionless entertainment.

620
00:28:37,200 --> 00:28:39,560
Speaker 4: And they've waved through so many mergers too. Yeah, the

621
00:28:39,680 --> 00:28:42,000
Speaker 4: casinos aren't really competing anymore.

622
00:28:42,320 --> 00:28:44,840
Speaker 3: Well, there's that, and also that some of them aren't

623
00:28:45,000 --> 00:28:47,959
Speaker 3: they don't own the property the property itself in some cases.

624
00:28:48,120 --> 00:28:50,240
Speaker 2: But even downtown Vegas is more expensive now. Like I

625
00:28:50,400 --> 00:28:52,600
Speaker 2: am't being to Fremont Street much before Lost Year and

626
00:28:52,640 --> 00:28:55,760
Speaker 2: I went it's more expensive in some cases than the strip,

627
00:28:55,920 --> 00:28:59,959
Speaker 2: and it fucking sucks. I'm sorry. It's like genuinely like

628
00:29:00,200 --> 00:29:03,600
Speaker 2: it's a loud, hostile place that when you go it's

629
00:29:03,640 --> 00:29:06,520
Speaker 2: just like punishing and it's like, Oh, used to go

630
00:29:06,560 --> 00:29:09,480
Speaker 2: there because it was cheap. Now it's expensive and loud

631
00:29:09,480 --> 00:29:11,680
Speaker 2: and bad. If I wanted that, I got to fucking Charlotte.

632
00:29:11,920 --> 00:29:13,120
Speaker 1: Yeah, what's happening in Reno?

633
00:29:13,280 --> 00:29:15,840
Speaker 2: Is it just as bad as Phil was mentioning the

634
00:29:15,840 --> 00:29:18,200
Speaker 2: other day that Reno is actually trying to like not

635
00:29:18,280 --> 00:29:20,920
Speaker 2: reject the casinos but grow outside of them, which I

636
00:29:20,960 --> 00:29:21,360
Speaker 2: don't think.

637
00:29:21,400 --> 00:29:23,360
Speaker 1: I think it's a state that's a statewide Is that sleep?

638
00:29:23,600 --> 00:29:23,760
Speaker 2: Yeah?

639
00:29:23,760 --> 00:29:26,600
Speaker 3: I would say it's like pretty statewide.

640
00:29:27,200 --> 00:29:28,719
Speaker 1: No, like housing and jobs.

641
00:29:29,240 --> 00:29:31,280
Speaker 2: Oh wow, I hate that.

642
00:29:31,280 --> 00:29:31,959
Speaker 1: That's crazy.

643
00:29:32,000 --> 00:29:34,520
Speaker 2: I know what kind of a town runs on that.

644
00:29:34,560 --> 00:29:37,440
Speaker 2: When we have our big, beautiful casinos and our loud

645
00:29:37,480 --> 00:29:39,400
Speaker 2: slot machines, slot machines.

646
00:29:39,120 --> 00:29:41,240
Speaker 1: They're so loud. We've got the Buffalo slot machines.

647
00:29:41,240 --> 00:29:44,360
Speaker 4: You've got the Bullet Farm, You've got the water Castle,

648
00:29:44,480 --> 00:29:48,920
Speaker 4: the Gonsto Lives, You've got we have to discuss on stars.

649
00:29:49,080 --> 00:29:51,560
Speaker 2: We have the most lifeless NFL team in the most

650
00:29:51,720 --> 00:29:53,880
Speaker 2: lifeless NFL stadium I have always made.

651
00:29:53,920 --> 00:29:55,560
Speaker 3: Actually, I was at an event recently and Mark Davis

652
00:29:55,560 --> 00:29:57,560
Speaker 3: sat next down next to me, and I got I.

653
00:29:57,480 --> 00:29:59,400
Speaker 2: Was, man, if he ever sat down next to me,

654
00:29:59,400 --> 00:30:01,760
Speaker 2: I've got some fuck questions, mate. I'm not gonna what

655
00:30:01,840 --> 00:30:03,840
Speaker 2: the fucking offensive line. They're all gonna play out a position?

656
00:30:03,840 --> 00:30:05,440
Speaker 2: Why do you think Pete Carroll's son do?

657
00:30:05,800 --> 00:30:10,480
Speaker 3: Sorry, but it's crazy because, I mean, it's so emblematic

658
00:30:10,600 --> 00:30:14,360
Speaker 3: of the industry that you can have a successful in

659
00:30:14,440 --> 00:30:17,040
Speaker 3: air quotes NFL franchise without winning.

660
00:30:17,400 --> 00:30:20,880
Speaker 2: I mean, I mean even then, I don't even think

661
00:30:20,880 --> 00:30:23,960
Speaker 2: they're that successful. We're going to transition to the next part.

662
00:30:24,040 --> 00:30:27,560
Speaker 2: The next ad is for the Las Vegas Raiders. We

663
00:30:27,640 --> 00:30:31,640
Speaker 2: won three fucking times despite Pete Carroll Gino Smith. I

664
00:30:31,680 --> 00:30:34,080
Speaker 2: guess that's what happens when you don't have an offensive

665
00:30:34,080 --> 00:30:36,480
Speaker 2: line playing in position. This next ad is for the

666
00:30:36,520 --> 00:30:49,280
Speaker 2: Las Vegas Raiders. Any other is an error, and we're

667
00:30:49,360 --> 00:30:52,080
Speaker 2: back for the second quarter. We're back with, of course,

668
00:30:52,160 --> 00:30:55,800
Speaker 2: Carl Shnard of the Las Vegas Son Hello, mister Edwin

669
00:30:55,840 --> 00:30:58,920
Speaker 2: and Graso of the Take Bubble newsletter. Hello, Hello, activist

670
00:30:59,080 --> 00:31:03,040
Speaker 2: journalist and author Cory DOCTORA well, Hello. I was on

671
00:31:03,080 --> 00:31:04,760
Speaker 2: the radio earlier and they were like, I was like

672
00:31:04,960 --> 00:31:07,560
Speaker 2: Cory Doctor's book and they're like, you can say it

673
00:31:08,040 --> 00:31:11,920
Speaker 2: in shitification. Yeah, they allow you to your book has

674
00:31:11,960 --> 00:31:14,240
Speaker 2: allowed people to say on the radio. Now, oh no,

675
00:31:14,360 --> 00:31:16,160
Speaker 2: they just allowed me to. What do you say then?

676
00:31:16,960 --> 00:31:23,840
Speaker 4: So it depends and Madrigal's show on MPR in San Francisco.

677
00:31:24,240 --> 00:31:27,200
Speaker 4: It's the largest MPR station in the country. Right after

678
00:31:27,240 --> 00:31:29,920
Speaker 4: Brandon car Chair, the FCC announced that he was going

679
00:31:29,960 --> 00:31:33,840
Speaker 4: to pull three years of their underwriting. Uh, and their

680
00:31:33,880 --> 00:31:37,360
Speaker 4: general counsel had said, you cannot even allude to the

681
00:31:37,400 --> 00:31:40,320
Speaker 4: title of the book. And through the entire segment we

682
00:31:40,360 --> 00:31:42,960
Speaker 4: called it the book whose title we cannot say?

683
00:31:43,360 --> 00:31:45,040
Speaker 1: And when I did on the media, which is.

684
00:31:45,040 --> 00:31:48,560
Speaker 4: Nationally syndicated, they called it in poopification?

685
00:31:48,800 --> 00:31:51,040
Speaker 1: Was that with with a Brook? With Brook?

686
00:31:51,160 --> 00:31:56,240
Speaker 4: Yeah, she's terrific, Gladstone fucking rocks. She is a national treasure.

687
00:31:56,800 --> 00:31:57,960
Speaker 1: Uh. And yeah.

688
00:31:58,040 --> 00:32:03,400
Speaker 4: Various other affiliates and radio stations have have dealt with

689
00:32:03,440 --> 00:32:06,959
Speaker 4: it in different ways. You know, the Daily Show their cable.

690
00:32:07,080 --> 00:32:10,600
Speaker 4: So they were like, it's fine, but anytime I'm on broadcast,

691
00:32:11,360 --> 00:32:12,160
Speaker 4: we can't do it.

692
00:32:12,880 --> 00:32:14,560
Speaker 1: And weirdly, I was just on.

693
00:32:16,000 --> 00:32:19,520
Speaker 4: Show in Toronto and they decided not to let me

694
00:32:19,560 --> 00:32:21,120
Speaker 4: say the title of the book, and so I was like,

695
00:32:21,280 --> 00:32:24,720
Speaker 4: it's in somethingification and the something is a word for

696
00:32:24,800 --> 00:32:26,600
Speaker 4: poop that rhymes with snit.

697
00:32:27,240 --> 00:32:30,360
Speaker 1: Nice. That's the word they use, snit. I used it.

698
00:32:31,000 --> 00:32:32,640
Speaker 1: I was like, I mean.

699
00:32:32,560 --> 00:32:36,760
Speaker 4: It's great, it's general counsel is having a Yeah, it

700
00:32:36,840 --> 00:32:37,560
Speaker 4: is always funny.

701
00:32:37,560 --> 00:32:39,480
Speaker 2: Like when I went on on the media, I did

702
00:32:39,520 --> 00:32:41,480
Speaker 2: like half an hour of just like I managed it.

703
00:32:41,520 --> 00:32:45,280
Speaker 2: Because actually to Brooke Gladstone, older woman and genuinely, if

704
00:32:45,320 --> 00:32:48,000
Speaker 2: you can't explain something to her, she's very smart, but

705
00:32:48,040 --> 00:32:50,560
Speaker 2: like she's a regular person, older woman. So if you

706
00:32:50,880 --> 00:32:52,560
Speaker 2: if you can explain it to her, you can explain

707
00:32:52,680 --> 00:32:56,280
Speaker 2: to anyone. But if you can't, you can't explain. Normalis

708
00:32:56,280 --> 00:32:58,920
Speaker 2: won't understand you. I got so many emails, lovely emails,

709
00:32:59,360 --> 00:33:00,920
Speaker 2: good might pay us door my od wh who was listening?

710
00:33:00,960 --> 00:33:02,680
Speaker 2: It was great as well, but I heard so many

711
00:33:02,720 --> 00:33:06,200
Speaker 2: people just being like, wow, you sounded so nice. You

712
00:33:06,240 --> 00:33:09,960
Speaker 2: didn't say shit or fuck. I'm like, I can actually

713
00:33:10,000 --> 00:33:12,240
Speaker 2: have a conversation with someone without swearing.

714
00:33:12,480 --> 00:33:15,360
Speaker 1: You know, you just don't need to take a nap afterwards.

715
00:33:15,400 --> 00:33:17,240
Speaker 2: But sure, yeah, yeah, I have to enter like my

716
00:33:17,360 --> 00:33:20,880
Speaker 2: mind palace, like the stone will of the Buddha to

717
00:33:21,040 --> 00:33:26,040
Speaker 2: like just three hours point Gianggong in the back you

718
00:33:26,080 --> 00:33:26,440
Speaker 2: know I.

719
00:33:26,400 --> 00:33:28,680
Speaker 1: Feel about Samone done.

720
00:33:29,760 --> 00:33:33,480
Speaker 2: Just no I can I'm calm, I'm normal. Yeah, it's

721
00:33:33,960 --> 00:33:36,280
Speaker 2: I want Vegas to come roaring back. But I think

722
00:33:36,400 --> 00:33:38,520
Speaker 2: there is a degree of the post twenty twenty one

723
00:33:38,560 --> 00:33:41,720
Speaker 2: greed that came in. I think that everyone jacked stuff up.

724
00:33:41,760 --> 00:33:44,600
Speaker 2: I think so. I don't know how is Summolin being

725
00:33:44,720 --> 00:33:47,400
Speaker 2: received by tourism. Is it being a good tourism destination.

726
00:33:47,920 --> 00:33:50,400
Speaker 2: It's it's like twenty five minutes away from everything which

727
00:33:50,440 --> 00:33:51,000
Speaker 2: is in Vegas.

728
00:33:51,080 --> 00:33:53,320
Speaker 1: Far Yeah, I mean, I would say.

729
00:33:54,800 --> 00:33:57,920
Speaker 3: In my own experience, I don't even really see Summerlin

730
00:33:58,000 --> 00:34:01,080
Speaker 3: as it a specifically very tourist.

731
00:34:00,600 --> 00:34:02,360
Speaker 1: Does it not try and appeal? What is it?

732
00:34:02,360 --> 00:34:05,040
Speaker 2: It's like it's sitting twenty five minutes away, which anywhere

733
00:34:05,080 --> 00:34:06,720
Speaker 2: else would be like, oh you get that twenty five

734
00:34:06,720 --> 00:34:08,960
Speaker 2: minutes a way in Vgas You're like no, you You're

735
00:34:09,040 --> 00:34:11,520
Speaker 2: just like, oh, I'll come visit you in New York City.

736
00:34:11,560 --> 00:34:12,000
Speaker 1: I guess.

737
00:34:12,040 --> 00:34:14,040
Speaker 4: I mean, if they let you fire an automatic weapon,

738
00:34:14,040 --> 00:34:14,920
Speaker 4: maybe you'll go that far.

739
00:34:15,040 --> 00:34:18,319
Speaker 2: But you can do ten minutes off the strip. There's

740
00:34:18,400 --> 00:34:21,120
Speaker 2: like full different places Wazooka. Then it's okay, there's a

741
00:34:21,160 --> 00:34:23,160
Speaker 2: place fifteen minutes you can blow up a car for

742
00:34:23,239 --> 00:34:26,560
Speaker 2: two grand here, Okay, Vegas rocks. It's an idea.

743
00:34:26,600 --> 00:34:29,399
Speaker 3: It's a very wealthy area, and they got some really

744
00:34:29,480 --> 00:34:30,000
Speaker 3: nice shopping.

745
00:34:30,200 --> 00:34:34,880
Speaker 2: I think the trip a baseball team as well. Yes, Aviators, No,

746
00:34:35,120 --> 00:34:35,879
Speaker 2: it's fucking great.

747
00:34:36,080 --> 00:34:37,880
Speaker 1: As a person who doesn't like sports, I like that

748
00:34:38,000 --> 00:34:39,000
Speaker 1: Avia is brilliant.

749
00:34:39,040 --> 00:34:42,160
Speaker 3: It is I would say, at least in my experience,

750
00:34:42,560 --> 00:34:45,319
Speaker 3: a place that's like more designed for locals, I would

751
00:34:45,360 --> 00:34:46,600
Speaker 3: say probably more affluent.

752
00:34:46,920 --> 00:34:49,320
Speaker 2: Yes, yes, it's a master playing community.

753
00:34:49,480 --> 00:34:53,080
Speaker 3: Yeah, which I've got a couple of times I had

754
00:34:53,080 --> 00:34:54,960
Speaker 3: to go to an event at the Aviators Stadium.

755
00:34:55,000 --> 00:34:55,760
Speaker 1: It's really nice.

756
00:34:56,200 --> 00:34:57,800
Speaker 3: I just never really saw it as I was tifically

757
00:34:57,880 --> 00:35:00,279
Speaker 3: like serving the tour risk.

758
00:35:00,360 --> 00:35:00,560
Speaker 1: True.

759
00:35:00,920 --> 00:35:03,880
Speaker 3: It's kind of interesting with that is that the locals

760
00:35:03,880 --> 00:35:06,440
Speaker 3: casinos actually had a really good year. What would be

761
00:35:06,560 --> 00:35:11,200
Speaker 3: what you mean, like Green Well all the Stations casinos.

762
00:35:10,800 --> 00:35:12,920
Speaker 2: Yeah, yeahah, but also Green Valley as well. Is they

763
00:35:12,920 --> 00:35:13,399
Speaker 2: doing all right?

764
00:35:13,920 --> 00:35:15,840
Speaker 1: I believe? So that's one pretty close to me.

765
00:35:16,080 --> 00:35:18,520
Speaker 2: Yeah, I know, I like all the local casinos that

766
00:35:18,680 --> 00:35:20,719
Speaker 2: just like, yeah, stations overall had a very good year.

767
00:35:20,880 --> 00:35:23,480
Speaker 2: It's good is because there's the asmr of just the

768
00:35:23,600 --> 00:35:27,000
Speaker 2: slot machines they're always like somewhere between completely empty or

769
00:35:27,040 --> 00:35:29,040
Speaker 2: just a few people, but they somehow still make money.

770
00:35:29,080 --> 00:35:30,400
Speaker 1: I love them, are the best.

771
00:35:30,480 --> 00:35:33,160
Speaker 3: It's I also didn't realize before moving here that like

772
00:35:33,680 --> 00:35:34,920
Speaker 3: all of the movie theaters that.

773
00:35:34,880 --> 00:35:36,400
Speaker 1: You would go to or in casinos.

774
00:35:36,480 --> 00:35:39,120
Speaker 2: Yeah, there's one in the Orleans, and took my parents

775
00:35:39,160 --> 00:35:41,160
Speaker 2: there when they were in town. And there's just these

776
00:35:41,239 --> 00:35:45,080
Speaker 2: horrifying giant like chucky cheese looking animals, like a giant

777
00:35:45,239 --> 00:35:45,880
Speaker 2: statue to.

778
00:35:45,880 --> 00:35:47,200
Speaker 1: Them when you well, that's my jam.

779
00:35:47,320 --> 00:35:49,919
Speaker 2: I fucking love it. No, my parents thought it was one.

780
00:35:50,080 --> 00:35:53,040
Speaker 1: I'm not committed robot sexual Sadly.

781
00:35:52,680 --> 00:35:56,919
Speaker 2: They're not robots. They're just giant statues of rats.

782
00:35:57,239 --> 00:36:00,680
Speaker 3: No, it's so strange key tournament there.

783
00:36:00,680 --> 00:36:02,479
Speaker 1: I did not see that the right, I swear.

784
00:36:02,600 --> 00:36:07,000
Speaker 2: Maybe I just like hallucinate it just these just like, oh, yeah,

785
00:36:07,239 --> 00:36:08,759
Speaker 2: my mum gave me pot or something.

786
00:36:08,800 --> 00:36:09,239
Speaker 1: I don't know.

787
00:36:09,280 --> 00:36:11,360
Speaker 4: But and that cab on the way down, Ed and

788
00:36:11,400 --> 00:36:13,320
Speaker 4: I were talking about ed ed On Gueslo and I

789
00:36:13,400 --> 00:36:16,320
Speaker 4: were talking about my new favorite podcast, which is No Gods,

790
00:36:16,320 --> 00:36:18,360
Speaker 4: No Mayors, which is a podcast about the oaths that

791
00:36:18,400 --> 00:36:21,920
Speaker 4: are mayors, And on that I learned that Las Vegas

792
00:36:22,120 --> 00:36:25,239
Speaker 4: UH is not a city. Yeah, the city of Las

793
00:36:25,320 --> 00:36:26,280
Speaker 4: Vegas is a suburb.

794
00:36:26,360 --> 00:36:28,319
Speaker 2: On the other side, when you hear about the mayor

795
00:36:28,320 --> 00:36:31,680
Speaker 2: of Las Vegas, this is an unincorporated area, right, we.

796
00:36:31,719 --> 00:36:36,600
Speaker 3: Have Paradise and then yeah, the when I first moved here,

797
00:36:36,960 --> 00:36:39,960
Speaker 3: I was like being explained all the different government structures,

798
00:36:39,960 --> 00:36:43,719
Speaker 3: like a lot of things in southern Nevada run through

799
00:36:43,800 --> 00:36:44,520
Speaker 3: Clark County.

800
00:36:44,680 --> 00:36:46,200
Speaker 1: Uh huh, just because it's.

801
00:36:46,360 --> 00:36:49,719
Speaker 3: Encompasses the tire or not entire but most of the

802
00:36:49,719 --> 00:36:53,400
Speaker 3: population that lives around this area. But Las Vegas itself

803
00:36:53,560 --> 00:36:56,160
Speaker 3: is not the Strip. And then you have North Las

804
00:36:56,280 --> 00:36:57,400
Speaker 3: Vegas and Henderson.

805
00:36:58,560 --> 00:37:01,160
Speaker 4: It's but the part of Las Vegas you see as

806
00:37:01,200 --> 00:37:04,440
Speaker 4: a visitor to Las Vegas is an unincorporated county land

807
00:37:04,560 --> 00:37:05,320
Speaker 4: right largely.

808
00:37:05,520 --> 00:37:07,200
Speaker 2: Yeah, so I also just want to be clear, it

809
00:37:07,239 --> 00:37:11,640
Speaker 2: wasn't rats. It was giant, kind of stoned looking crocodiles.

810
00:37:12,760 --> 00:37:19,400
Speaker 2: Like they're just like they all look like animated. What

811
00:37:19,600 --> 00:37:24,359
Speaker 2: is the point like these things look like, Yeah, they

812
00:37:24,400 --> 00:37:26,359
Speaker 2: look like they are just I don't want to know.

813
00:37:27,480 --> 00:37:32,680
Speaker 4: They're very they're very uh splash mountain looking, yes, like

814
00:37:32,800 --> 00:37:34,359
Speaker 4: a little alligator minstrel city.

815
00:37:34,719 --> 00:37:36,640
Speaker 2: Oh god, I wonder if they have their own shredder.

816
00:37:37,080 --> 00:37:38,880
Speaker 2: You know, what do you mean, like a shredded like

817
00:37:38,880 --> 00:37:40,600
Speaker 2: the yeah, yeah, like.

818
00:37:40,560 --> 00:37:43,759
Speaker 7: Instead of you know, teenage Benja alligators and they've got

819
00:37:43,800 --> 00:37:47,760
Speaker 7: to like who's yeah, yeah.

820
00:37:47,360 --> 00:37:50,799
Speaker 2: It's the people that collect unemployment taxes. Like they're just

821
00:37:50,920 --> 00:37:52,000
Speaker 2: constantly at war with them.

822
00:37:52,000 --> 00:37:54,400
Speaker 7: It's like a dude who's just hanging in the sewer.

823
00:37:54,680 --> 00:37:56,840
Speaker 2: One thing else say is like, I know this sounds strange,

824
00:37:56,840 --> 00:38:00,719
Speaker 2: but Vegas doesn't also seem that welcoming to see. Yes,

825
00:38:01,239 --> 00:38:03,719
Speaker 2: Like it's it's weird. They you'd think that they cater

826
00:38:03,840 --> 00:38:05,480
Speaker 2: to it more like when Raiders games are going on,

827
00:38:05,480 --> 00:38:08,239
Speaker 2: there's a shit on a pop up events with this,

828
00:38:08,360 --> 00:38:11,400
Speaker 2: it's like the only specific drinking specials or anything like

829
00:38:11,400 --> 00:38:14,319
Speaker 2: that are just Lenovo has brought a restaurant, right.

830
00:38:14,960 --> 00:38:17,880
Speaker 3: I mean, it's it's pretty crazy to see though, as

831
00:38:18,000 --> 00:38:20,560
Speaker 3: you know, I come to the strip probably a lot

832
00:38:20,600 --> 00:38:24,560
Speaker 3: less than people would think. Yeah, but I mean cees

833
00:38:25,800 --> 00:38:28,600
Speaker 3: maybe not getting drink deals, but it is everywhere on

834
00:38:28,680 --> 00:38:29,040
Speaker 3: the strip.

835
00:38:29,280 --> 00:38:31,560
Speaker 2: It is, but it's events where people have bought them.

836
00:38:31,840 --> 00:38:34,839
Speaker 2: It's not like they are. Vegas usually like opens their

837
00:38:35,520 --> 00:38:37,360
Speaker 2: arms to people in like a just a kind of

838
00:38:37,400 --> 00:38:39,080
Speaker 2: a can I have your money please?

839
00:38:39,080 --> 00:38:39,239
Speaker 1: Thing?

840
00:38:39,560 --> 00:38:41,680
Speaker 2: And I don't know whether it's just c Yes doesn't

841
00:38:41,719 --> 00:38:43,320
Speaker 2: treat them with respect or something.

842
00:38:43,440 --> 00:38:47,440
Speaker 7: It's just something they haven't forgiven them from disaggregating from AVN.

843
00:38:47,520 --> 00:38:50,319
Speaker 7: I think, yeah, that's.

844
00:38:49,280 --> 00:38:54,200
Speaker 2: The thing they should never have done. It's because of

845
00:38:54,280 --> 00:38:55,000
Speaker 2: fucking purity.

846
00:38:55,080 --> 00:38:57,640
Speaker 7: I mean, yeah, you know that, I understand, but I

847
00:38:57,719 --> 00:38:59,600
Speaker 7: understand intellectually like they should.

848
00:38:59,320 --> 00:39:01,040
Speaker 2: Have them in the same conference hall.

849
00:39:01,239 --> 00:39:04,000
Speaker 3: Yes, actually yeah, it's now at Virgin Hotels, which I

850
00:39:04,040 --> 00:39:05,480
Speaker 3: kind of very funny.

851
00:39:06,120 --> 00:39:08,439
Speaker 4: So the other event I come to in Vegas most

852
00:39:08,520 --> 00:39:11,200
Speaker 4: years is Defcon and talk about an event that Vegas does.

853
00:39:11,120 --> 00:39:12,160
Speaker 1: Not roll out the red car.

854
00:39:12,320 --> 00:39:14,920
Speaker 4: Yeah, we just keep getting turfed out of hotels and

855
00:39:14,960 --> 00:39:15,800
Speaker 4: conference centers.

856
00:39:15,840 --> 00:39:21,080
Speaker 2: So yeah, it's just it's weird. There's this combatative relationship

857
00:39:21,520 --> 00:39:23,239
Speaker 2: with it as well as like, Okay, you'll hear you're

858
00:39:23,239 --> 00:39:25,360
Speaker 2: gonna spend a lot of money, but weirdly we don't

859
00:39:25,480 --> 00:39:28,920
Speaker 2: love It's I I feel like both sides need to

860
00:39:28,960 --> 00:39:31,160
Speaker 2: come together and do something. But I guess Vegas is

861
00:39:31,160 --> 00:39:34,640
Speaker 2: a city of honest cons and ces isn't. Ha No,

862
00:39:34,880 --> 00:39:36,759
Speaker 2: I mean like that's kind of what I love it here.

863
00:39:36,800 --> 00:39:38,880
Speaker 2: It's like everyone's weird, so no one's weird. And also

864
00:39:39,640 --> 00:39:41,720
Speaker 2: we're like very human labor focused.

865
00:39:41,880 --> 00:39:42,600
Speaker 1: I mean there's that.

866
00:39:42,760 --> 00:39:45,440
Speaker 3: I mean, I think, like we talked about last year,

867
00:39:45,440 --> 00:39:49,880
Speaker 3: there's a huge union culture and union participation here in Nevada.

868
00:39:50,239 --> 00:39:53,520
Speaker 3: That for a I think a state that has a

869
00:39:53,560 --> 00:39:56,160
Speaker 3: Republican governor and it was the first time in twenty

870
00:39:56,200 --> 00:39:59,920
Speaker 3: something years voted for Trump, very you didn't have it

871
00:40:02,000 --> 00:40:04,480
Speaker 3: that there is a big focus on the people who

872
00:40:04,760 --> 00:40:08,440
Speaker 3: make up the city, which I really have appreciated learning

873
00:40:08,480 --> 00:40:10,680
Speaker 3: about that and that kind of the culture around work.

874
00:40:11,080 --> 00:40:14,680
Speaker 3: I mean, just like there is a in my opinion,

875
00:40:14,800 --> 00:40:17,520
Speaker 3: like I don't know, growing up in New York, maybe

876
00:40:17,680 --> 00:40:22,000
Speaker 3: I people would look down on some like service jobs.

877
00:40:22,280 --> 00:40:24,560
Speaker 3: I don't think that's as much of a thing, at

878
00:40:24,640 --> 00:40:26,480
Speaker 3: least in my experience talking to people.

879
00:40:26,520 --> 00:40:28,960
Speaker 2: I'm splitting time between both, I would say New York

880
00:40:29,000 --> 00:40:30,440
Speaker 2: has got a hell of a lot better at that,

881
00:40:30,520 --> 00:40:32,360
Speaker 2: like most people will talk to And also if you

882
00:40:32,400 --> 00:40:34,719
Speaker 2: have a disrespect for service people, chop your hands off

883
00:40:34,719 --> 00:40:36,319
Speaker 2: for thirty seven to a review a piece of shit.

884
00:40:36,440 --> 00:40:39,400
Speaker 2: But I like, yeah, this city is very pro labor,

885
00:40:39,600 --> 00:40:41,920
Speaker 2: and I guess the current state of the tech industry isn't.

886
00:40:42,920 --> 00:40:45,800
Speaker 1: Yeah, well I was gonna yeah, I was gonna.

887
00:40:46,080 --> 00:40:48,640
Speaker 2: Conference where it's like, what if we didn't have people?

888
00:40:49,480 --> 00:40:50,200
Speaker 1: There is like a.

889
00:40:51,960 --> 00:40:56,840
Speaker 3: This like overarching theme of feels almost like anti human. Yeah,

890
00:40:56,840 --> 00:40:59,920
Speaker 3: like we are trying to and I mean like tech innovation.

891
00:41:00,200 --> 00:41:02,960
Speaker 3: Forever I've been like, how do we minimize the labor

892
00:41:03,000 --> 00:41:05,920
Speaker 3: cost of whatever? But it feels like we're taking it

893
00:41:05,960 --> 00:41:07,560
Speaker 3: to such a degree.

894
00:41:07,280 --> 00:41:08,520
Speaker 2: And everyone's so excited.

895
00:41:08,840 --> 00:41:10,520
Speaker 1: Everyone's like, oh, I can't wait.

896
00:41:11,080 --> 00:41:13,000
Speaker 3: I mean, yeah, there's people who are like excited to

897
00:41:13,040 --> 00:41:14,920
Speaker 3: see people lose their child.

898
00:41:15,120 --> 00:41:16,799
Speaker 2: And the thing is as well, like Vegas, one of

899
00:41:16,800 --> 00:41:18,799
Speaker 2: the best things here is go and fucking talk to

900
00:41:18,800 --> 00:41:20,759
Speaker 2: the people working at the restaurants, at the door and

901
00:41:20,840 --> 00:41:23,759
Speaker 2: your cab. There's so many everyone in. No one comes

902
00:41:23,800 --> 00:41:26,799
Speaker 2: here by accident. Everyone like ends up here because they

903
00:41:26,800 --> 00:41:28,439
Speaker 2: had a few choices they needed to make.

904
00:41:28,920 --> 00:41:29,839
Speaker 1: And it's like, I'm here.

905
00:41:29,880 --> 00:41:31,719
Speaker 2: You talked to like one of my good mates, I know,

906
00:41:31,840 --> 00:41:34,799
Speaker 2: Arenstein used to work at Custiply Abs now in S

907
00:41:34,840 --> 00:41:37,720
Speaker 2: and P in New York, one of my dearest friends.

908
00:41:37,760 --> 00:41:40,560
Speaker 2: And it's because just Vegas, people fucking will talk to you.

909
00:41:40,600 --> 00:41:43,879
Speaker 2: And there's never a case I've never talked to anyone here.

910
00:41:43,920 --> 00:41:45,680
Speaker 2: And it just happened in New York, where there was

911
00:41:45,680 --> 00:41:46,719
Speaker 2: like the look up and down?

912
00:41:47,320 --> 00:41:48,319
Speaker 1: Who were you? What do you do?

913
00:41:48,680 --> 00:41:51,680
Speaker 2: No? One everyone started whatre you Like, Yeah, don't know,

914
00:41:52,160 --> 00:41:55,799
Speaker 2: there's a genuine every man culture here, And I don't

915
00:41:55,800 --> 00:41:56,200
Speaker 2: know if.

916
00:41:56,040 --> 00:41:56,799
Speaker 1: This is the case.

917
00:41:56,840 --> 00:41:59,160
Speaker 2: It probably isn't at a large scale, but yeah, I

918
00:41:59,200 --> 00:42:01,319
Speaker 2: can imagine if you're well here, there is a certain

919
00:42:01,320 --> 00:42:03,799
Speaker 2: degree of fuck off, Oh you want to replace me

920
00:42:03,880 --> 00:42:05,640
Speaker 2: and everyone I know and everything I do.

921
00:42:06,160 --> 00:42:07,680
Speaker 1: Yeah. I'm not sure how.

922
00:42:09,239 --> 00:42:13,800
Speaker 3: Ingrained or like supremely aware people are of that sentiment

923
00:42:13,840 --> 00:42:16,640
Speaker 3: with history for like people who are just like going

924
00:42:16,640 --> 00:42:17,319
Speaker 3: about their day.

925
00:42:17,719 --> 00:42:19,000
Speaker 1: But I think, like.

926
00:42:20,640 --> 00:42:22,640
Speaker 3: It's always funny to see how the ads change in

927
00:42:22,719 --> 00:42:24,439
Speaker 3: Vegas based on what conferences in town.

928
00:42:24,600 --> 00:42:25,680
Speaker 1: Yeah, I think.

929
00:42:26,280 --> 00:42:29,160
Speaker 3: I mean I've certainly picked up on when there's like

930
00:42:29,200 --> 00:42:32,560
Speaker 3: a tech show, like some of them are like the.

931
00:42:32,600 --> 00:42:33,520
Speaker 1: Human need not apply.

932
00:42:34,960 --> 00:42:39,920
Speaker 4: I mean not literally that, but no, it's yeah, I mean.

933
00:42:39,760 --> 00:42:41,920
Speaker 3: There are literal I don't know if they ran them here,

934
00:42:41,960 --> 00:42:43,960
Speaker 3: But there's that one I saw in the Bay.

935
00:42:44,000 --> 00:42:44,880
Speaker 1: I don't think I saw that one.

936
00:42:45,080 --> 00:42:49,040
Speaker 4: And they did that specifically to drama about right, because

937
00:42:49,080 --> 00:42:52,600
Speaker 4: that if people are running around saying this AI company

938
00:42:53,239 --> 00:42:55,680
Speaker 4: is so good at what it does, that it's going

939
00:42:55,719 --> 00:42:57,560
Speaker 4: to replace humans that investors are like.

940
00:42:57,600 --> 00:43:01,200
Speaker 2: Oh, that's the advertising campaign of llm's in general.

941
00:43:01,280 --> 00:43:05,480
Speaker 3: Well, say, like the fear you're putting people into is

942
00:43:05,640 --> 00:43:07,360
Speaker 3: making them take your products seriously?

943
00:43:07,440 --> 00:43:09,480
Speaker 1: Yeah, market even though work.

944
00:43:09,600 --> 00:43:11,920
Speaker 3: I mean it's just another chat SHE'DBT rapper.

945
00:43:12,040 --> 00:43:15,319
Speaker 2: Yeah exactly, it's just And I had this conversation with

946
00:43:15,320 --> 00:43:17,560
Speaker 2: the radio earlier about like, oh, the MGM's chat boys

947
00:43:17,600 --> 00:43:20,319
Speaker 2: replaced in concierge. Just no, it isn't. They just wanted

948
00:43:20,320 --> 00:43:23,080
Speaker 2: to lay some people off. Like also, I feel like

949
00:43:23,120 --> 00:43:26,160
Speaker 2: concierge culture he was kind of dead because I don't

950
00:43:26,160 --> 00:43:28,560
Speaker 2: interact with it enough. No, but it's like it used,

951
00:43:28,640 --> 00:43:30,279
Speaker 2: like ten to fifteen years ago you would talk to

952
00:43:30,320 --> 00:43:31,799
Speaker 2: the concierge and they'd be able to get you into

953
00:43:31,840 --> 00:43:34,400
Speaker 2: a show or a restaurant. Now there's so many people,

954
00:43:34,520 --> 00:43:36,320
Speaker 2: it's just like, can you get me a reservation?

955
00:43:36,520 --> 00:43:38,000
Speaker 1: Just use open table mate.

956
00:43:38,160 --> 00:43:41,759
Speaker 3: There was, Yeah, there was this story I did a

957
00:43:41,880 --> 00:43:45,000
Speaker 3: while back about this website called Restaurant Trader.

958
00:43:45,400 --> 00:43:50,280
Speaker 8: Oh yeah, that was and one of the little nuggets

959
00:43:50,280 --> 00:43:53,240
Speaker 8: of information that I got out of it that I

960
00:43:53,280 --> 00:43:54,719
Speaker 8: wanted to make it into a bigger thing, but I

961
00:43:54,760 --> 00:43:59,319
Speaker 8: just wasn't able to was that there were concierge folks

962
00:44:00,040 --> 00:44:04,480
Speaker 8: who were getting reservations sound like through their job to

963
00:44:04,600 --> 00:44:07,440
Speaker 8: then put on restaurant trader that people would pay that

964
00:44:07,600 --> 00:44:11,480
Speaker 8: on the side, dhaustedly, Oh wow, where like I think

965
00:44:11,560 --> 00:44:14,680
Speaker 8: there was an option on the website where you could

966
00:44:14,719 --> 00:44:17,680
Speaker 8: like pretty much request to work with a concierge.

967
00:44:19,360 --> 00:44:25,120
Speaker 3: Well, so, yeah, it's that that's a little anecdoti And

968
00:44:25,680 --> 00:44:28,120
Speaker 3: when trader like is like banned in multiple New York

969
00:44:28,160 --> 00:44:31,080
Speaker 3: restaurants New York City. Sorry, it was the New York

970
00:44:31,080 --> 00:44:36,799
Speaker 3: Assembly that passed a law. Fuck, yeah, that was I

971
00:44:36,840 --> 00:44:38,520
Speaker 3: think there was a there was a similar effort here

972
00:44:38,560 --> 00:44:40,120
Speaker 3: in Nevada. That's why I was writing about it.

973
00:44:40,760 --> 00:44:43,239
Speaker 2: I genuinely think it should be an actual crime to

974
00:44:43,280 --> 00:44:44,000
Speaker 2: resell a poison.

975
00:44:44,400 --> 00:44:47,120
Speaker 4: The most disgusting version of this was there was a

976
00:44:47,120 --> 00:44:50,160
Speaker 4: bro who was paying people to call the I r

977
00:44:50,320 --> 00:44:52,360
Speaker 4: S when the lines opened at eight in the morning

978
00:44:52,400 --> 00:44:55,279
Speaker 4: and sit in the hold queue and then sell their

979
00:44:55,280 --> 00:44:58,840
Speaker 4: positions in the I r S hold queue to people

980
00:44:58,840 --> 00:45:01,719
Speaker 4: who wanted to figure out how what's going on with her?

981
00:45:01,880 --> 00:45:03,760
Speaker 2: That should be adjailable offense.

982
00:45:04,040 --> 00:45:06,120
Speaker 4: Well, he was eventually shut down, but I don't think

983
00:45:06,120 --> 00:45:08,360
Speaker 4: he was ever put in jail much as he absolutely

984
00:45:09,239 --> 00:45:11,480
Speaker 4: holding your holding a place in line fans, that's right.

985
00:45:11,480 --> 00:45:13,960
Speaker 1: He should be put in the books. They put Captain

986
00:45:14,440 --> 00:45:17,239
Speaker 1: Captain Jack her massage one. No, I'm talking about that.

987
00:45:17,680 --> 00:45:21,280
Speaker 2: Anyone watched torch Wood torch Wood when they put Captain

988
00:45:21,360 --> 00:45:23,759
Speaker 2: Jack in the concrete box, Well go and watch that.

989
00:45:23,760 --> 00:45:26,040
Speaker 1: Look, Yeah, that's where that guy should go.

990
00:45:26,600 --> 00:45:28,960
Speaker 4: It's Can I tell you my best Vegas?

991
00:45:29,080 --> 00:45:30,640
Speaker 1: Please please please? Story.

992
00:45:30,840 --> 00:45:35,320
Speaker 4: So my sister in law's good friends started a guide

993
00:45:35,320 --> 00:45:38,520
Speaker 4: to places to romantic hotels called the Mister and Missus

994
00:45:38,520 --> 00:45:39,080
Speaker 4: Smith Guides.

995
00:45:39,440 --> 00:45:41,439
Speaker 2: What was the romantic hotel in this case?

996
00:45:41,560 --> 00:45:44,400
Speaker 4: So the we were asked to come and review a hotel,

997
00:45:44,400 --> 00:45:45,840
Speaker 4: and the way that it works is they ring up

998
00:45:45,840 --> 00:45:47,920
Speaker 4: ahead and they said, we're the mister Smith company. We're

999
00:45:47,920 --> 00:45:49,840
Speaker 4: thinking about putting you in the guide. We're going to

1000
00:45:49,840 --> 00:45:52,680
Speaker 4: send some anonymous reviewers. What we would like is a

1001
00:45:52,719 --> 00:45:55,520
Speaker 4: voucher for the manager to present at checkout that says

1002
00:45:55,680 --> 00:45:58,080
Speaker 4: these people should be camped, but they will book the

1003
00:45:58,120 --> 00:46:01,080
Speaker 4: reservation as per normal. The staff won't know until you

1004
00:46:01,160 --> 00:46:03,120
Speaker 4: check out. So we stayed in the high roller suite

1005
00:46:03,200 --> 00:46:06,080
Speaker 4: at the MGM Nice. So it was an eighteen hundred

1006
00:46:06,120 --> 00:46:08,720
Speaker 4: dollars a night, fourteen hundred square foot two story suite

1007
00:46:08,719 --> 00:46:11,400
Speaker 4: with a butler, and it was the first time we

1008
00:46:11,440 --> 00:46:13,200
Speaker 4: ever interacted with a concierge.

1009
00:46:13,239 --> 00:46:16,200
Speaker 1: It was very good. This was in two thousand and five.

1010
00:46:16,680 --> 00:46:18,279
Speaker 4: It was the weekend we got engaged, so we came

1011
00:46:18,280 --> 00:46:20,960
Speaker 4: here about engaging and we stayed in the hotel. I

1012
00:46:20,800 --> 00:46:23,200
Speaker 4: was I was teaching in la and my wife would

1013
00:46:23,239 --> 00:46:25,560
Speaker 4: come over and was working for BBC America, and it

1014
00:46:25,640 --> 00:46:30,600
Speaker 4: was it was so great and like the concierge culture,

1015
00:46:30,600 --> 00:46:33,160
Speaker 4: and they had lots of perks. The best thing they

1016
00:46:33,200 --> 00:46:35,920
Speaker 4: had was they came in they gave us a menu

1017
00:46:35,960 --> 00:46:38,120
Speaker 4: of newspapers and we were like, how do you get

1018
00:46:38,160 --> 00:46:40,799
Speaker 4: these newspapers? Because it was the Singapore Straits Times and

1019
00:46:41,840 --> 00:46:44,600
Speaker 4: mine Las Vegas Sun, the Las Vegas Sun as well,

1020
00:46:44,640 --> 00:46:48,359
Speaker 4: but no international papers. And they would print it on

1021
00:46:48,680 --> 00:46:52,640
Speaker 4: eleven but they had a facsimile newspaper service. They printed

1022
00:46:52,680 --> 00:46:56,600
Speaker 4: on eleven by seventeen inch hot heavy stock and bind

1023
00:46:56,640 --> 00:46:59,520
Speaker 4: it in silk ribbon and they would and so we

1024
00:46:59,600 --> 00:47:02,239
Speaker 4: ordered like eleven newspapers and we would come out in

1025
00:47:02,280 --> 00:47:04,040
Speaker 4: the morning and the butler would have laid them out

1026
00:47:04,040 --> 00:47:08,759
Speaker 4: in a fan on the on the coffee table from

1027
00:47:08,760 --> 00:47:12,480
Speaker 4: all over the world. That morning's paper, that's beautiful, International

1028
00:47:12,560 --> 00:47:18,560
Speaker 4: Hair Tribune whatever on creamy eleven seventeen with a with

1029
00:47:18,640 --> 00:47:21,520
Speaker 4: a like a sort of pinkish silver silk ribbon in

1030
00:47:21,520 --> 00:47:21,880
Speaker 4: the corner.

1031
00:47:22,160 --> 00:47:23,200
Speaker 2: Was that additional cost?

1032
00:47:23,360 --> 00:47:24,680
Speaker 1: No, it was all bundled him with.

1033
00:47:25,200 --> 00:47:28,000
Speaker 2: I mean, was amazing the margins there when you're getting someone,

1034
00:47:28,040 --> 00:47:31,239
Speaker 2: Oh yeah, of course twenty five ten grand at night. Yeah,

1035
00:47:31,239 --> 00:47:33,439
Speaker 2: And that's the thing, Like Vegas is a service culture place.

1036
00:47:33,520 --> 00:47:37,279
Speaker 2: Like shit, we're going to spego tonightbout Garcia. I've a

1037
00:47:37,320 --> 00:47:42,319
Speaker 2: GM there, fantastic place. Look over the Blogio Fountain, I

1038
00:47:42,400 --> 00:47:44,920
Speaker 2: mean formerly Bazomie. I don't I have my thoughts on that,

1039
00:47:45,000 --> 00:47:46,920
Speaker 2: but like there are so many great restaurants here with

1040
00:47:47,040 --> 00:47:50,439
Speaker 2: like lovely service. The Grecure Loto is brilliant, and even

1041
00:47:50,520 --> 00:47:54,000
Speaker 2: like Main Street Station's fucking great too, Like they let's.

1042
00:47:53,880 --> 00:47:56,160
Speaker 1: Get a pretty good Pristami sandwich at New York, New York.

1043
00:47:56,280 --> 00:47:59,680
Speaker 3: There's a great margarita deal at the station's casinos.

1044
00:47:59,719 --> 00:48:01,840
Speaker 2: But the Street Station as a microbrewery, doesn't it.

1045
00:48:02,120 --> 00:48:03,120
Speaker 1: I'm just saying no.

1046
00:48:03,320 --> 00:48:04,879
Speaker 2: But that's the thing, Like you can go, you can

1047
00:48:04,960 --> 00:48:06,239
Speaker 2: have a laugh, or if you want to do the

1048
00:48:06,320 --> 00:48:08,960
Speaker 2: fancy stuff, you can go at any number of places.

1049
00:48:09,040 --> 00:48:11,120
Speaker 2: I mean, like the whole thing about this city is

1050
00:48:11,160 --> 00:48:14,800
Speaker 2: it's relatively accessible, affordable, and if you want to spend

1051
00:48:14,800 --> 00:48:16,800
Speaker 2: some money, well you can spend some money and like

1052
00:48:16,880 --> 00:48:19,239
Speaker 2: have a luxury experience and it's not as expensive as

1053
00:48:19,239 --> 00:48:22,840
Speaker 2: doing it in the other cities. And I just it's weird,

1054
00:48:22,960 --> 00:48:24,880
Speaker 2: how I will just fucking say this. I don't think

1055
00:48:24,920 --> 00:48:27,359
Speaker 2: people who come to ces are grateful enough for how

1056
00:48:27,400 --> 00:48:30,799
Speaker 2: accessible the city is, in part because CS fucks it up.

1057
00:48:31,680 --> 00:48:33,840
Speaker 3: Yeah, it's pretty difficult to get into that building like

1058
00:48:33,880 --> 00:48:35,600
Speaker 3: the Center.

1059
00:48:35,760 --> 00:48:38,880
Speaker 2: I mean, you can go to the Renaissance Hotel and

1060
00:48:38,920 --> 00:48:41,080
Speaker 2: then they ubers will be like, I'm being told to

1061
00:48:41,120 --> 00:48:42,840
Speaker 2: go somewhere else and you're like, mate, I don't know

1062
00:48:42,880 --> 00:48:45,480
Speaker 2: where to go because CEA doesn't know how to wipe

1063
00:48:45,520 --> 00:48:48,000
Speaker 2: their asshole. At this point, how many CS has be

1064
00:48:48,080 --> 00:48:51,040
Speaker 2: done with uber around fucking anyway, I'm.

1065
00:48:50,719 --> 00:48:52,360
Speaker 1: A big fan of the monorail for dirt.

1066
00:48:54,400 --> 00:48:56,879
Speaker 4: Monorail. Is there a chance the track could bend?

1067
00:48:57,680 --> 00:49:00,680
Speaker 2: I mean hopefully not, consider I don't on a diet

1068
00:49:00,800 --> 00:49:05,480
Speaker 2: outside Harris, but it's like I will say also that

1069
00:49:05,480 --> 00:49:08,160
Speaker 2: Harris was cheaper this year, even on like an expensive night.

1070
00:49:08,200 --> 00:49:10,319
Speaker 2: It was three hundred bucks night, which doesn't sound cheap,

1071
00:49:10,320 --> 00:49:13,040
Speaker 2: but it is for cees and which makes me wonder

1072
00:49:13,080 --> 00:49:14,520
Speaker 2: if CES attendance was down.

1073
00:49:15,080 --> 00:49:17,560
Speaker 1: I so I'm mad at Caesar's harra for kicking deaf

1074
00:49:17,600 --> 00:49:19,719
Speaker 1: Con out. I wouldn't stay there again.

1075
00:49:19,920 --> 00:49:22,880
Speaker 2: And that's the thing, Vegas. I'm not going to be romanding,

1076
00:49:22,880 --> 00:49:25,920
Speaker 2: but it used to be. But it feels like that's

1077
00:49:25,960 --> 00:49:28,640
Speaker 2: a that's a dollar to be made to work with

1078
00:49:28,719 --> 00:49:31,040
Speaker 2: the people at deaf Cone and be like, Okay, we

1079
00:49:31,120 --> 00:49:34,719
Speaker 2: have security concerns. What are some things that right deaf

1080
00:49:34,760 --> 00:49:36,640
Speaker 2: Con could do to make you comfortable?

1081
00:49:36,719 --> 00:49:38,239
Speaker 1: And then we could make you comfortable too.

1082
00:49:38,400 --> 00:49:40,520
Speaker 4: The last also, the last time I stayed at Harrah's,

1083
00:49:40,719 --> 00:49:42,400
Speaker 4: they gave me a room that not only didn't have

1084
00:49:42,400 --> 00:49:44,120
Speaker 4: a desk, it didn't have a closet.

1085
00:49:44,480 --> 00:49:44,880
Speaker 1: Oh.

1086
00:49:45,040 --> 00:49:46,640
Speaker 4: I was like, where do I hang up my stuff?

1087
00:49:46,640 --> 00:49:48,520
Speaker 4: And they're like, if you want a room with a closet,

1088
00:49:48,560 --> 00:49:51,200
Speaker 4: that's an extra charge. Jesus Christ, what year was that?

1089
00:49:51,200 --> 00:49:52,719
Speaker 1: That was two years ago at deaf Con.

1090
00:49:52,920 --> 00:49:54,960
Speaker 2: That's supremely fucked.

1091
00:49:54,960 --> 00:49:55,319
Speaker 3: It was.

1092
00:49:56,960 --> 00:49:59,120
Speaker 4: Years ago, deaf three years ago deaf Con in Releiss.

1093
00:49:59,120 --> 00:50:01,200
Speaker 3: You what you're just saying, thought i'd pull this up.

1094
00:50:01,239 --> 00:50:05,520
Speaker 3: The average daily room rate on the strip. This is,

1095
00:50:06,200 --> 00:50:08,799
Speaker 3: you know, year to date comparing November twenty twenty five

1096
00:50:08,840 --> 00:50:11,600
Speaker 3: to twenty twenty four, on the strip's actually falling four

1097
00:50:11,600 --> 00:50:15,319
Speaker 3: point seven percent and downtown six point Interesting.

1098
00:50:15,520 --> 00:50:18,840
Speaker 2: Yeah, I just everything's out of sorts.

1099
00:50:19,000 --> 00:50:21,000
Speaker 4: This is but that's the room that's the rack rate,

1100
00:50:21,040 --> 00:50:23,319
Speaker 4: and they're piling it up with junk fees. So the

1101
00:50:23,400 --> 00:50:26,880
Speaker 4: rack rate is not the price, right, the one you

1102
00:50:26,920 --> 00:50:28,239
Speaker 4: have to add in the junk fees together.

1103
00:50:28,280 --> 00:50:30,560
Speaker 1: I believe that's inclusive. Is that inclusive? I believe?

1104
00:50:30,600 --> 00:50:34,360
Speaker 3: I mean that's the average, that's the room rate itself. Okay,

1105
00:50:34,440 --> 00:50:36,359
Speaker 3: you know that's a one to one comparison last year.

1106
00:50:36,360 --> 00:50:38,239
Speaker 1: I'm not positive, but yeah.

1107
00:50:38,080 --> 00:50:40,719
Speaker 2: I just feel like there is an ocean of opportunity

1108
00:50:40,760 --> 00:50:43,120
Speaker 2: here for the CEA if they could do one thing

1109
00:50:43,239 --> 00:50:46,440
Speaker 2: right and just like Gary Sparrow come on the show,

1110
00:50:46,920 --> 00:50:50,040
Speaker 2: CTA CTA, CTA, is that CTA c ATA. I don't

1111
00:50:50,040 --> 00:50:52,120
Speaker 2: know who fucking runs this shit. They centainly don't want

1112
00:50:52,160 --> 00:50:54,080
Speaker 2: to talk to me, but it's like, so I have.

1113
00:50:54,040 --> 00:50:57,239
Speaker 4: To say, I've known Gary Shapiro for twenty years. I've

1114
00:50:57,239 --> 00:51:00,239
Speaker 4: never had a bad interaction with him. I don't know

1115
00:51:01,239 --> 00:51:03,839
Speaker 4: all the dealings of the CTA, yeah, but I've never

1116
00:51:03,880 --> 00:51:06,040
Speaker 4: had a I get the impression that he is someone

1117
00:51:06,080 --> 00:51:08,800
Speaker 4: who is in charge of an industry association with several large,

1118
00:51:09,719 --> 00:51:11,920
Speaker 4: important members that like to throw their weight around, and

1119
00:51:12,000 --> 00:51:17,040
Speaker 4: he is the peacemaker and coalition binder of this, this big,

1120
00:51:17,080 --> 00:51:21,279
Speaker 4: desparate organization. I'm not going to like defend CA and

1121
00:51:21,320 --> 00:51:24,160
Speaker 4: its members, but you know, I do think that Gary

1122
00:51:24,160 --> 00:51:28,040
Speaker 4: Shapiro is holding together a very fractious group.

1123
00:51:28,239 --> 00:51:30,600
Speaker 2: Well, I've been saying CEA incorrectly for days, so I

1124
00:51:30,680 --> 00:51:34,120
Speaker 2: apologize that. Also, Ben is not your son.

1125
00:51:34,320 --> 00:51:37,040
Speaker 4: I think they were. I think they were the CA. Okay,

1126
00:51:37,280 --> 00:51:40,520
Speaker 4: his name to CTA because electronics sounds a little outmoded.

1127
00:51:40,680 --> 00:51:43,880
Speaker 2: I just feel like the CTA, now I'm saying it correctly,

1128
00:51:43,960 --> 00:51:46,040
Speaker 2: could work directly with Vegas and do way more. There's

1129
00:51:46,080 --> 00:51:48,359
Speaker 2: just it feels like they could streamline this whole thing

1130
00:51:48,640 --> 00:51:51,439
Speaker 2: and they get a little bit better because it's been

1131
00:51:51,480 --> 00:51:54,080
Speaker 2: here long enough that it's it's still too chaotic.

1132
00:51:54,160 --> 00:51:56,400
Speaker 3: Yeah, I'm not sure about the exact relationship they have,

1133
00:51:56,480 --> 00:52:00,480
Speaker 3: but they do have a pretty close working relationship, especially

1134
00:52:00,520 --> 00:52:03,879
Speaker 3: when it comes down to like construction and renovations within

1135
00:52:03,960 --> 00:52:05,239
Speaker 3: the convention center.

1136
00:52:05,320 --> 00:52:07,960
Speaker 2: How about getting people to and from the convention I

1137
00:52:07,960 --> 00:52:08,239
Speaker 2: think it.

1138
00:52:08,320 --> 00:52:11,520
Speaker 3: I mean there was there's another reporter, Alan Stell, who

1139
00:52:11,640 --> 00:52:12,680
Speaker 3: had a uh.

1140
00:52:13,160 --> 00:52:14,960
Speaker 1: I'm just gonna call it a tweet. I don't care.

1141
00:52:16,719 --> 00:52:19,480
Speaker 3: That was about like the difficulty of biking to the

1142
00:52:19,520 --> 00:52:20,240
Speaker 3: convention center.

1143
00:52:20,360 --> 00:52:21,560
Speaker 1: It's really really hard.

1144
00:52:21,600 --> 00:52:24,360
Speaker 2: I'm so sorry, you're a psychopath if you buy that

1145
00:52:24,400 --> 00:52:25,080
Speaker 2: convention stead.

1146
00:52:25,160 --> 00:52:26,880
Speaker 4: You know, I was thinking about e bikes when we

1147
00:52:26,880 --> 00:52:29,920
Speaker 4: were stuck in traffic today and thinking this would be fastest.

1148
00:52:30,719 --> 00:52:32,839
Speaker 2: I mean, biking throughout Vegas is quite hard.

1149
00:52:33,160 --> 00:52:36,200
Speaker 4: Yeah, I would never is that because bikes aren't allowed

1150
00:52:36,239 --> 00:52:36,520
Speaker 4: on the.

1151
00:52:37,040 --> 00:52:40,360
Speaker 3: I mean there's no infrastructure. I mean there is instructure,

1152
00:52:40,440 --> 00:52:42,240
Speaker 3: but there's not a lot of infrastructure for bikes.

1153
00:52:42,360 --> 00:52:44,120
Speaker 4: I mean, the way it was today, you would have

1154
00:52:44,160 --> 00:52:46,799
Speaker 4: been moving five times faster than on the road.

1155
00:52:46,960 --> 00:52:50,080
Speaker 2: But it's like we've had this convention hip for a

1156
00:52:50,120 --> 00:52:55,239
Speaker 2: while and it's still insanely difficult to get around. And

1157
00:52:55,280 --> 00:52:57,120
Speaker 2: it's not And they will probably say, well, you know,

1158
00:52:57,160 --> 00:52:58,680
Speaker 2: it's a big conventions.

1159
00:52:58,120 --> 00:52:58,920
Speaker 1: A lot of people.

1160
00:52:59,560 --> 00:53:01,840
Speaker 2: I can go around. I went to dinner Drew in

1161
00:53:01,880 --> 00:53:03,960
Speaker 2: the f one. It was not that different.

1162
00:53:04,200 --> 00:53:08,440
Speaker 4: What if they had helicopters that came in and skyjacked

1163
00:53:08,520 --> 00:53:11,919
Speaker 4: any car that moved into the junction when I didn't

1164
00:53:11,920 --> 00:53:16,479
Speaker 4: have time to completely and block the grid. Yeah, just

1165
00:53:16,480 --> 00:53:18,880
Speaker 4: just like take those cars and then dry and and

1166
00:53:18,920 --> 00:53:21,320
Speaker 4: then like take them out to the Grand Canyon. Just

1167
00:53:21,520 --> 00:53:23,080
Speaker 4: leave them at the bottom of the Grand or.

1168
00:53:23,000 --> 00:53:24,440
Speaker 1: A big arm that just took them.

1169
00:53:25,400 --> 00:53:28,400
Speaker 3: There was a there was a little viral clip of

1170
00:53:28,520 --> 00:53:30,160
Speaker 3: the new Zooks.

1171
00:53:31,400 --> 00:53:33,040
Speaker 1: One get stuck like it was.

1172
00:53:33,440 --> 00:53:36,400
Speaker 3: It didn't get stuck, it moved eventually, but it was

1173
00:53:36,440 --> 00:53:37,520
Speaker 3: like in the That's.

1174
00:53:37,440 --> 00:53:39,879
Speaker 1: Not your company.

1175
00:53:40,880 --> 00:53:42,480
Speaker 3: But they were just like in the middle of a

1176
00:53:42,520 --> 00:53:45,319
Speaker 3: turn in a giant like strip intersection for like a

1177
00:53:45,320 --> 00:53:47,640
Speaker 3: good little bit of time, and everyone around like what

1178
00:53:47,640 --> 00:53:48,120
Speaker 3: are they doing?

1179
00:53:48,360 --> 00:53:51,520
Speaker 2: Like cab drivers are just saying the most ugly shit

1180
00:53:51,560 --> 00:53:52,080
Speaker 2: of old time.

1181
00:53:52,200 --> 00:53:55,480
Speaker 3: Well, I just can't imagine being like the visitor and

1182
00:53:56,600 --> 00:53:59,080
Speaker 3: freaking out transparent boxes.

1183
00:53:59,160 --> 00:54:02,719
Speaker 2: Everyone's is that you like the Homo sampsum thing where

1184
00:54:02,719 --> 00:54:05,040
Speaker 2: he gets stuck and has to be craned out. Right,

1185
00:54:05,440 --> 00:54:07,480
Speaker 2: I mean, this is a town bereft of shame, but

1186
00:54:07,600 --> 00:54:10,239
Speaker 2: even that, that's a new kind of shame we invented

1187
00:54:10,320 --> 00:54:11,240
Speaker 2: here in Las Vegas.

1188
00:54:11,320 --> 00:54:12,360
Speaker 1: It's your adults.

1189
00:54:12,680 --> 00:54:15,440
Speaker 4: I've fallen in love with weimos as an Angelino because

1190
00:54:15,520 --> 00:54:17,160
Speaker 4: you can make a left turn into their path and

1191
00:54:17,160 --> 00:54:18,839
Speaker 4: they'll just defer to you and they won't even hank

1192
00:54:18,920 --> 00:54:21,200
Speaker 4: although yeah, and I'm just like, fuck you, right the

1193
00:54:21,920 --> 00:54:24,080
Speaker 4: right roads for people, not robots, last yourself.

1194
00:54:24,040 --> 00:54:25,040
Speaker 1: It's my ship, my street.

1195
00:54:25,480 --> 00:54:28,080
Speaker 2: That last time, last time, I was in Santisco and

1196
00:54:28,080 --> 00:54:30,120
Speaker 2: I took away Moo, I got out of it, watched

1197
00:54:30,160 --> 00:54:32,160
Speaker 2: as a Waymo in front of it got stuck at

1198
00:54:32,160 --> 00:54:34,719
Speaker 2: the inter I watched it gets stuck at the intersection.

1199
00:54:34,960 --> 00:54:37,719
Speaker 2: Then another Weymo gets stuck behind it, and I checked

1200
00:54:37,760 --> 00:54:40,040
Speaker 2: back half an hour it was still fucking sick, just

1201
00:54:40,080 --> 00:54:42,719
Speaker 2: like beautiful, just like stare at like by the w

1202
00:54:42,840 --> 00:54:45,759
Speaker 2: hotel and just staring out into nothing this as people

1203
00:54:45,800 --> 00:54:48,400
Speaker 2: are like, yeah, this thing isn't fucking hearing you.

1204
00:54:48,480 --> 00:54:49,440
Speaker 1: It can only see.

1205
00:54:50,719 --> 00:54:52,400
Speaker 3: Was it ser Fantisco where a bunch of people just

1206
00:54:52,480 --> 00:54:54,759
Speaker 3: kept calling weymos to one spot until it just.

1207
00:54:54,760 --> 00:54:58,680
Speaker 2: Can no sorry, yes, that was actually yeah yeah, and

1208
00:54:58,680 --> 00:55:02,000
Speaker 2: people putting like traffic cones on top lender. I think

1209
00:55:02,040 --> 00:55:03,759
Speaker 2: it was really funny when that was happening and people

1210
00:55:03,760 --> 00:55:05,640
Speaker 2: were like, you can't deface way Moe.

1211
00:55:05,680 --> 00:55:07,960
Speaker 1: It's like, this is domestic terrorist.

1212
00:55:09,120 --> 00:55:13,800
Speaker 2: Do people fucking say that, okay damage? It is illegal

1213
00:55:13,840 --> 00:55:16,239
Speaker 2: to smash up a car, so I will accept that

1214
00:55:16,320 --> 00:55:17,279
Speaker 2: property damage is.

1215
00:55:17,239 --> 00:55:18,320
Speaker 1: A legal is it though?

1216
00:55:18,800 --> 00:55:19,000
Speaker 9: Yeah?

1217
00:55:19,160 --> 00:55:23,799
Speaker 7: Yeah, I don't know lost the cops or maybe I

1218
00:55:23,840 --> 00:55:25,040
Speaker 7: don't think they'd have the answer.

1219
00:55:25,440 --> 00:55:30,120
Speaker 2: Yeah, cops are like, wow, obviously correct in forty percent

1220
00:55:30,200 --> 00:55:34,799
Speaker 2: of cases Google forty cops. Yeah, I can see what

1221
00:55:34,920 --> 00:55:41,040
Speaker 2: comes up, right, the truth, the truth about this specific situation. Yeah,

1222
00:55:41,160 --> 00:55:44,879
Speaker 2: it's it's unfortunate. I feel like that everything feels out

1223
00:55:44,880 --> 00:55:46,879
Speaker 2: of sync here. I feel like the CTA could work

1224
00:55:46,920 --> 00:55:49,279
Speaker 2: with Vegas and make this a little bit easier. I

1225
00:55:49,280 --> 00:55:52,160
Speaker 2: also think the CTA needs to fucking kick companies out

1226
00:55:52,280 --> 00:55:55,719
Speaker 2: from renting restaurants in the Venetian. I think it's fucking stupid.

1227
00:55:55,880 --> 00:55:58,120
Speaker 2: I don't think we should lose an entire restaurant because

1228
00:55:58,200 --> 00:56:01,080
Speaker 2: Lenovo needs to do the slop hour where they're like,

1229
00:56:01,120 --> 00:56:03,520
Speaker 2: we had it in LLLM to your fucking laptop, you

1230
00:56:03,640 --> 00:56:07,480
Speaker 2: disgusting pig, you nasty pick. Yeah they did that. They

1231
00:56:07,480 --> 00:56:09,600
Speaker 2: didn't call you a nasty pig though. If they did that,

1232
00:56:09,600 --> 00:56:11,640
Speaker 2: I'd be fine if they were like, you nasty hogs

1233
00:56:11,840 --> 00:56:14,560
Speaker 2: do you like your slop, you pigs, I'd be like fine.

1234
00:56:14,440 --> 00:56:16,760
Speaker 4: Is so what I want is for Lenovo to distribute

1235
00:56:16,800 --> 00:56:21,440
Speaker 4: badge flair that's a little adhesive backed pointer, red pointer

1236
00:56:21,560 --> 00:56:23,600
Speaker 4: nub oh yeah yeah, I think pad and that, Like

1237
00:56:23,640 --> 00:56:25,839
Speaker 4: everyone can can go to the Lenova party and then

1238
00:56:25,880 --> 00:56:28,719
Speaker 4: have the red Lenova pointer on their badge.

1239
00:56:29,040 --> 00:56:31,040
Speaker 2: Yeah, but if you have a green one, well then

1240
00:56:31,040 --> 00:56:32,120
Speaker 2: you can do anything to them.

1241
00:56:32,360 --> 00:56:39,520
Speaker 1: I yeah, it's sorry. It's Vegas. Yeah, it's it's weird.

1242
00:56:39,760 --> 00:56:40,960
Speaker 1: It's just weird. I don't know.

1243
00:56:41,080 --> 00:56:44,279
Speaker 2: I I love living in Vegas, and then this this week,

1244
00:56:44,360 --> 00:56:46,560
Speaker 2: it's just all of the Vegas stuff that's fun kind

1245
00:56:46,560 --> 00:56:49,600
Speaker 2: of turns off. We've had less fun off strip vent

1246
00:56:50,080 --> 00:56:52,440
Speaker 2: like things. No one's blown up a car. There's not

1247
00:56:52,480 --> 00:56:55,800
Speaker 2: been any like interesting stunts. It's like they everyone forgot

1248
00:56:55,800 --> 00:56:57,719
Speaker 2: to have fun or make anything this year.

1249
00:56:59,000 --> 00:57:01,239
Speaker 1: It's it's really sad. It's sad.

1250
00:57:01,320 --> 00:57:05,919
Speaker 2: I'm upset that like CS is kind of not having fun,

1251
00:57:05,960 --> 00:57:09,080
Speaker 2: and neither is Vegas rules kind of sitting is rolling

1252
00:57:09,120 --> 00:57:11,680
Speaker 2: around in our filth at least I am yeah one

1253
00:57:11,800 --> 00:57:15,520
Speaker 2: just staring at me. I'm not filthy. I've been showering

1254
00:57:15,600 --> 00:57:20,320
Speaker 2: every day. We just send no when I was on

1255
00:57:20,360 --> 00:57:21,880
Speaker 2: the show earlier. I felt bad for them, but they

1256
00:57:21,920 --> 00:57:25,680
Speaker 2: were like, well, what about Lenovo's ai AS system. I'm like, yeah,

1257
00:57:25,680 --> 00:57:28,120
Speaker 2: that's just an LM, and they're like yeah, but like,

1258
00:57:28,160 --> 00:57:30,560
Speaker 2: what if it in the future. I'm like, what if

1259
00:57:30,560 --> 00:57:32,600
Speaker 2: it did what in the future, And they're like, what

1260
00:57:32,720 --> 00:57:33,120
Speaker 2: it would be?

1261
00:57:33,160 --> 00:57:35,480
Speaker 4: What if we breathe these horses to run so fast

1262
00:57:35,520 --> 00:57:38,480
Speaker 4: that eventually one of the mayors gives birth to a locomotive.

1263
00:57:40,520 --> 00:57:41,200
Speaker 1: On something.

1264
00:57:41,440 --> 00:57:45,920
Speaker 2: Okay, what if we all ship ourselves enough and maybe

1265
00:57:45,960 --> 00:57:47,280
Speaker 2: our asses all white themselves.

1266
00:57:47,440 --> 00:57:50,080
Speaker 3: We need more hay than it currently exists on the planet.

1267
00:57:50,200 --> 00:57:54,640
Speaker 2: That's right, We've thrown a ball so fast that it

1268
00:57:54,680 --> 00:57:55,720
Speaker 2: now flies.

1269
00:57:55,480 --> 00:57:59,360
Speaker 7: That well covered unprecedented reserves of hey in other countries.

1270
00:58:00,160 --> 00:58:03,160
Speaker 1: That we're not. We're gonna We're gonna do it. We're

1271
00:58:03,200 --> 00:58:04,480
Speaker 1: just gonna run down for a few years.

1272
00:58:05,440 --> 00:58:10,919
Speaker 2: Beautiful, big, beautiful, Hey, big beautiful, the big We love him.

1273
00:58:11,040 --> 00:58:14,840
Speaker 4: That's the sister town to hay on Why and whales beautiful?

1274
00:58:16,280 --> 00:58:18,439
Speaker 2: Oh God, Like the whole week my brain has been broken.

1275
00:58:18,560 --> 00:58:20,439
Speaker 2: Someone sent me a video of someoneding Trump was going

1276
00:58:20,480 --> 00:58:22,439
Speaker 2: I made a boom boom, I mean the biggest boom

1277
00:58:22,440 --> 00:58:23,280
Speaker 2: boom i've ever seen.

1278
00:58:23,440 --> 00:58:28,720
Speaker 1: They're saying, it's quite beautiful. Yeah, and this specific week

1279
00:58:28,800 --> 00:58:29,720
Speaker 1: is like even that.

1280
00:58:29,800 --> 00:58:32,040
Speaker 2: The Trump voice just I don't know if this is.

1281
00:58:31,960 --> 00:58:32,920
Speaker 1: The week to do it.

1282
00:58:33,200 --> 00:58:38,680
Speaker 2: Very sad, but you know yet Trump. Yeah, he's still alive, Chicken. Yeah,

1283
00:58:38,880 --> 00:58:41,160
Speaker 2: I mean he's still going.

1284
00:58:41,480 --> 00:58:41,680
Speaker 4: Now.

1285
00:58:41,800 --> 00:58:45,320
Speaker 2: The upcoming ad you're gonna get is for nothing political,

1286
00:58:45,600 --> 00:58:49,400
Speaker 2: nothing weird. Everything's normal here. We're all the most normal

1287
00:58:49,480 --> 00:58:52,560
Speaker 2: people to ever do a podcast in history. And you

1288
00:58:52,680 --> 00:58:54,920
Speaker 2: too can be the most normal person ever if you

1289
00:58:55,000 --> 00:58:58,840
Speaker 2: buy and or listen to the following advertisement. Just throw

1290
00:58:58,920 --> 00:59:01,600
Speaker 2: your fucking credit card, your phone, your pig. I'm sorry,

1291
00:59:01,640 --> 00:59:03,600
Speaker 2: you're not a pig. I please don't stop listening to

1292
00:59:03,640 --> 00:59:05,480
Speaker 2: my show. I desperately need the downloads.

1293
00:59:17,280 --> 00:59:17,680
Speaker 1: Diane.

1294
00:59:17,680 --> 00:59:20,000
Speaker 2: I'm once again finding myself in front of a microphone

1295
00:59:20,040 --> 00:59:23,280
Speaker 2: and beautiful sunny Las Vegas, Nevada, even though it's nighttime

1296
00:59:23,360 --> 00:59:25,840
Speaker 2: or i've been for what feels like weeks. I'm surrounded

1297
00:59:25,840 --> 00:59:30,400
Speaker 2: by several wayward travelers that I adore, starting with another

1298
00:59:30,800 --> 00:59:33,480
Speaker 2: journalist and activist. I think author.

1299
00:59:33,240 --> 00:59:36,240
Speaker 1: Cory Doctor Well, Hello, edit, that nice to be here.

1300
00:59:36,360 --> 00:59:39,080
Speaker 2: That's him, and we've got Garrison Davis of it could

1301
00:59:39,080 --> 00:59:41,920
Speaker 2: happen here, I apologize, we had a podcasting emergency. No,

1302
00:59:43,360 --> 00:59:46,920
Speaker 2: it's fine, we are doing it now. And Carl Shnard

1303
00:59:46,960 --> 00:59:50,600
Speaker 2: of the Las Vegas Sun, Hello, and of course Edward

1304
00:59:50,640 --> 00:59:51,560
Speaker 2: and Graso Jr.

1305
00:59:52,080 --> 00:59:52,440
Speaker 1: Hello?

1306
00:59:52,560 --> 00:59:56,320
Speaker 2: Who is Who's Diane As?

1307
00:59:56,360 --> 00:59:59,440
Speaker 1: It's a Twin Peaks reference. I thought it was a

1308
00:59:59,520 --> 01:00:00,480
Speaker 1: Cheers ference.

1309
01:00:00,680 --> 01:00:05,680
Speaker 2: And that's what I'm not. That's Robert Evans behind the

1310
01:00:05,720 --> 01:00:09,400
Speaker 2: Bosto's Yeah, and famous Cheers fan, famous Cheers head. Yeah,

1311
01:00:09,760 --> 01:00:12,720
Speaker 2: and he Robert is very excited because we have the

1312
01:00:12,760 --> 01:00:15,880
Speaker 2: pieces to make what was it? We've got to cu

1313
01:00:16,240 --> 01:00:17,640
Speaker 2: We've got we've got a CD.

1314
01:00:18,520 --> 01:00:22,280
Speaker 1: Cory doctor c D. You've got a Robert. We've got

1315
01:00:23,680 --> 01:00:25,840
Speaker 1: us his last name, yeah, because there's not an first

1316
01:00:25,880 --> 01:00:27,840
Speaker 1: name here. And then what's the end. The editor is

1317
01:00:27,880 --> 01:00:31,200
Speaker 1: Matt Matt, so cd ROM also some other people's names

1318
01:00:31,280 --> 01:00:33,240
Speaker 1: and some Yeah, sure you have to add other names.

1319
01:00:33,280 --> 01:00:34,480
Speaker 2: What's the cd ROM?

1320
01:00:34,520 --> 01:00:35,120
Speaker 1: Oh?

1321
01:00:34,960 --> 01:00:37,600
Speaker 4: Oh, it's what you when you have an ISO and

1322
01:00:37,640 --> 01:00:40,400
Speaker 4: you want to convert it to optical media, you take

1323
01:00:40,440 --> 01:00:45,320
Speaker 4: that ISO optic toast the one onto the other.

1324
01:00:46,360 --> 01:00:46,560
Speaker 2: Yeah.

1325
01:00:46,560 --> 01:00:49,280
Speaker 1: When you've pirated Cyberpunk twenty seventy seven and you have

1326
01:00:49,360 --> 01:00:51,000
Speaker 1: to you have to make your computer think that you've

1327
01:00:51,000 --> 01:00:54,680
Speaker 1: put a CD, oh my daddy CD, and I've been

1328
01:00:54,760 --> 01:00:56,600
Speaker 1: played with that with that in a minute.

1329
01:00:56,600 --> 01:01:00,480
Speaker 7: I miss I miss pirrating and the little isovern bringing

1330
01:01:00,440 --> 01:01:00,760
Speaker 7: it off.

1331
01:01:00,840 --> 01:01:03,400
Speaker 1: I missed when the only way I had Microsoft Office

1332
01:01:03,440 --> 01:01:05,720
Speaker 1: was a pirated version that never touched the Internet and

1333
01:01:05,760 --> 01:01:09,400
Speaker 1: didn't ask me to use co pilot everything. Yeah, it

1334
01:01:09,520 --> 01:01:10,040
Speaker 1: really is sick.

1335
01:01:10,080 --> 01:01:12,360
Speaker 4: I remember when I started reading classified ads and it

1336
01:01:12,440 --> 01:01:15,560
Speaker 4: was like, uh, you know s w F, I s

1337
01:01:15,640 --> 01:01:18,160
Speaker 4: O s w M. And I was like a straight

1338
01:01:18,160 --> 01:01:21,439
Speaker 4: white female as an ISO frustrate white male.

1339
01:01:21,640 --> 01:01:22,720
Speaker 1: I don't understand.

1340
01:01:23,360 --> 01:01:28,480
Speaker 2: Yeah, Garrison, was that a legit question? No, I'm sorry,

1341
01:01:28,640 --> 01:01:30,520
Speaker 2: that would have been No, Honestly, if it was honest,

1342
01:01:30,520 --> 01:01:31,440
Speaker 2: that would have been fired.

1343
01:01:31,800 --> 01:01:34,480
Speaker 9: It was barely though, because like my dad used it

1344
01:01:34,720 --> 01:01:37,760
Speaker 9: for the music he purchased legally on the Internet and

1345
01:01:37,800 --> 01:01:39,760
Speaker 9: transferring it to CDs when I was a kid. But

1346
01:01:39,800 --> 01:01:42,160
Speaker 9: like I just I got like the last bit of

1347
01:01:42,240 --> 01:01:45,360
Speaker 9: CD rock like probably like my younger siblings don't know

1348
01:01:45,360 --> 01:01:45,720
Speaker 9: what a CD.

1349
01:01:45,920 --> 01:01:47,880
Speaker 1: Meanwhile, I once owned a ZIP drive.

1350
01:01:48,040 --> 01:01:51,760
Speaker 2: I had the same I had a jazz drive. Yeah, no,

1351
01:01:51,840 --> 01:01:53,480
Speaker 2: my dad, this is the kind of kid I was.

1352
01:01:53,480 --> 01:01:53,760
Speaker 9: My dad.

1353
01:01:53,840 --> 01:01:55,640
Speaker 4: I had a dwarfull of scuzzy terminators.

1354
01:01:57,600 --> 01:02:00,360
Speaker 2: Jesus Christ. They took me a minute for remember what

1355
01:02:00,440 --> 01:02:02,440
Speaker 2: scuzzy referred to. So that was the one where you

1356
01:02:02,480 --> 01:02:04,440
Speaker 2: screwed it into like it had literal screws.

1357
01:02:04,720 --> 01:02:06,440
Speaker 4: You had to set dip switches on the back. And

1358
01:02:06,440 --> 01:02:08,720
Speaker 4: if you gave two scuzzy devices the same idea, all

1359
01:02:08,760 --> 01:02:10,600
Speaker 4: of your drives would go south forever.

1360
01:02:10,760 --> 01:02:11,720
Speaker 2: Hell yeah, I love it.

1361
01:02:11,880 --> 01:02:14,160
Speaker 4: Computers used to be used to have to fight with

1362
01:02:14,280 --> 01:02:16,560
Speaker 4: the computers and they administer a lethal shock.

1363
01:02:17,200 --> 01:02:18,720
Speaker 2: Used to be a proper country.

1364
01:02:19,200 --> 01:02:20,200
Speaker 1: Now we used to.

1365
01:02:20,440 --> 01:02:23,560
Speaker 2: We used to have jazz drives, zip drives now anyone.

1366
01:02:23,600 --> 01:02:25,560
Speaker 2: Now you just drop box gives you a whole, a

1367
01:02:25,560 --> 01:02:29,320
Speaker 2: whole terror bio to any all sorts and sundry.

1368
01:02:30,080 --> 01:02:32,840
Speaker 1: Unlimited access for the US government without a warrant, but

1369
01:02:32,920 --> 01:02:35,480
Speaker 1: also unlimited access for the chat box that they signed

1370
01:02:35,520 --> 01:02:36,000
Speaker 1: deals with.

1371
01:02:36,440 --> 01:02:39,200
Speaker 2: You know, be fair. I did see earlier that chat

1372
01:02:39,240 --> 01:02:43,360
Speaker 2: GPT apparently is doing a Hippo compliant chat GPT, which

1373
01:02:43,480 --> 01:02:46,440
Speaker 2: just is a lie. What again, it's a lie. I

1374
01:02:46,560 --> 01:02:48,160
Speaker 2: thought it's a fucking lie.

1375
01:02:48,320 --> 01:02:52,120
Speaker 9: Imagine how many GPTs we've seen in health like like

1376
01:02:52,120 --> 01:02:55,640
Speaker 9: like wearable products, just just like these past few days.

1377
01:02:55,680 --> 01:02:57,880
Speaker 1: Yeah again, we're talking about this on the other show.

1378
01:02:57,920 --> 01:03:00,760
Speaker 1: But you can tell. One of the the things that

1379
01:03:00,800 --> 01:03:04,000
Speaker 1: you can divide the people with AI products between is

1380
01:03:04,160 --> 01:03:07,600
Speaker 1: the ninety percent for whom if you ask them what

1381
01:03:07,720 --> 01:03:10,720
Speaker 1: happens if somebody like if there's a data breach with

1382
01:03:10,840 --> 01:03:12,920
Speaker 1: all of this biometric data you've put in the cloud,

1383
01:03:13,200 --> 01:03:17,920
Speaker 1: they go what or we're really concerned with safety, right.

1384
01:03:17,920 --> 01:03:19,520
Speaker 1: They'll give you one of those two answers, but they

1385
01:03:19,520 --> 01:03:21,960
Speaker 1: don't actually have an answer. And then there's the much

1386
01:03:22,000 --> 01:03:24,600
Speaker 1: smaller ten to twenty percent of people bringing products who

1387
01:03:24,640 --> 01:03:26,280
Speaker 1: will tell you right up front the second you come

1388
01:03:26,280 --> 01:03:29,000
Speaker 1: to their booth. This does not touch the cloud. It

1389
01:03:29,080 --> 01:03:32,040
Speaker 1: never goes online. It is entirely on device.

1390
01:03:32,320 --> 01:03:36,280
Speaker 2: I'm trying to work out how anything GPT can be

1391
01:03:36,360 --> 01:03:39,040
Speaker 2: Hippo compliant, though it can't, I mean, based on my

1392
01:03:39,160 --> 01:03:41,640
Speaker 2: understanding of Hippa, I'm sure they're working out a deal

1393
01:03:41,760 --> 01:03:44,600
Speaker 2: with I mean now that the government's run by who's

1394
01:03:44,680 --> 01:03:45,080
Speaker 2: run by?

1395
01:03:45,200 --> 01:03:45,640
Speaker 1: But like.

1396
01:03:47,400 --> 01:03:49,960
Speaker 4: You sketch out a way that it could be hippo compliant.

1397
01:03:50,400 --> 01:03:55,360
Speaker 4: So HIPPA, although it's commonly called a consumer privacy law,

1398
01:03:55,440 --> 01:03:57,800
Speaker 4: is not a consumer privacy law because it only affects

1399
01:03:57,800 --> 01:03:59,760
Speaker 4: your rights as a patient and not as a consumer.

1400
01:04:00,160 --> 01:04:00,960
Speaker 1: And so if you.

1401
01:04:00,920 --> 01:04:05,360
Speaker 4: Were to construct a kind of matrioshka where the inside

1402
01:04:05,480 --> 01:04:09,120
Speaker 4: doll is a consumer company that is providing you with

1403
01:04:09,320 --> 01:04:14,520
Speaker 4: consumer medical services and the outside of the doll is

1404
01:04:14,560 --> 01:04:21,120
Speaker 4: a medical company that does nothing except kind of exists

1405
01:04:21,120 --> 01:04:23,280
Speaker 4: as a fig leaf like that, like the MD whose

1406
01:04:23,360 --> 01:04:26,600
Speaker 4: name is on the private equity owned practice, then what

1407
01:04:26,680 --> 01:04:28,480
Speaker 4: you could say is, well, you haven't given us any

1408
01:04:28,480 --> 01:04:31,760
Speaker 4: medical data, You've only given us consumer data. Therefore it

1409
01:04:31,800 --> 01:04:34,120
Speaker 4: is hipp A compliant, like we have structured Hippo compliance

1410
01:04:34,320 --> 01:04:37,160
Speaker 4: through the compliance regime and not through the Hippa regime.

1411
01:04:37,320 --> 01:04:39,680
Speaker 2: Okay, okay, yeah, that makes sense. I just think if

1412
01:04:39,720 --> 01:04:42,120
Speaker 2: you feed your healthcare that you're into this, you deserve

1413
01:04:42,160 --> 01:04:43,200
Speaker 2: whatever comes out.

1414
01:04:43,520 --> 01:04:45,919
Speaker 1: Like It's just I would I would like it's easy

1415
01:04:45,920 --> 01:04:47,720
Speaker 1: to take that attitude.

1416
01:04:47,720 --> 01:04:50,240
Speaker 2: People are being canned into it and claimed this morph.

1417
01:04:50,600 --> 01:04:52,160
Speaker 1: And it's going to be it's they're going to be

1418
01:04:52,240 --> 01:04:53,840
Speaker 1: conduit into it. The same way a lot of people

1419
01:04:53,880 --> 01:04:55,800
Speaker 1: were condon into getting addicted to pain killers, where they

1420
01:04:55,800 --> 01:04:58,120
Speaker 1: will be in the doctor's office, their doctor will have

1421
01:04:58,160 --> 01:05:00,760
Speaker 1: gotten flown out for a VAK or put on a

1422
01:05:00,840 --> 01:05:03,160
Speaker 1: cruise where they were pitched on this and their doctor

1423
01:05:03,200 --> 01:05:05,760
Speaker 1: will say there's a wearable that can help you keep

1424
01:05:05,800 --> 01:05:09,520
Speaker 1: track of your cholesterol, And this sixty five year old

1425
01:05:09,560 --> 01:05:13,480
Speaker 1: person will not immediately think, like people who professionally worry

1426
01:05:13,480 --> 01:05:16,160
Speaker 1: about this stuff, is my data safe?

1427
01:05:16,520 --> 01:05:17,920
Speaker 2: What? What is it being safeguard?

1428
01:05:18,080 --> 01:05:22,000
Speaker 1: Can a prompt injection attack reveal all of my biomede?

1429
01:05:22,040 --> 01:05:25,600
Speaker 4: They'll think, They'll think, you know, I am not special enough, right.

1430
01:05:25,640 --> 01:05:28,720
Speaker 4: I understand the nature of targets of opportunity, But the

1431
01:05:28,760 --> 01:05:29,240
Speaker 4: thing I'm.

1432
01:05:29,120 --> 01:05:31,760
Speaker 2: Worried about is more than it will give you the

1433
01:05:31,800 --> 01:05:33,880
Speaker 2: wrong advice more than anything.

1434
01:05:34,320 --> 01:05:36,840
Speaker 1: I mean that in terms of objective health realities, that

1435
01:05:36,960 --> 01:05:39,640
Speaker 1: is the big concern. But also I mean, and that's

1436
01:05:39,640 --> 01:05:41,720
Speaker 1: part of what I'm saying, is that when people, the

1437
01:05:41,760 --> 01:05:44,520
Speaker 1: majority of people I suspect who come into these devices

1438
01:05:44,840 --> 01:05:47,040
Speaker 1: will not have made a choice to go it into

1439
01:05:47,080 --> 01:05:49,320
Speaker 1: the world and buy something. They will have been advised

1440
01:05:49,360 --> 01:05:52,600
Speaker 1: by a medical professional. They trust that this is a

1441
01:05:52,640 --> 01:05:55,280
Speaker 1: good product for them. And that's part of what worries

1442
01:05:55,280 --> 01:05:56,840
Speaker 1: me in terms of it hallucinating, in terms of it

1443
01:05:56,880 --> 01:06:00,120
Speaker 1: not being reliable, because the doctors probably will not be

1444
01:06:00,280 --> 01:06:03,880
Speaker 1: competent to judge whether or not the AI is reliable, but.

1445
01:06:03,800 --> 01:06:06,880
Speaker 3: I also think it's that no one can afford healthcare anyway.

1446
01:06:07,080 --> 01:06:09,480
Speaker 2: Yeah, exactly. And that's the thing with like AI therapy

1447
01:06:09,560 --> 01:06:13,080
Speaker 2: that I always say, It's like, it's obviously evil, obviously bad, terrible,

1448
01:06:13,120 --> 01:06:14,960
Speaker 2: it's going to reinforce things. But at the same time,

1449
01:06:15,000 --> 01:06:19,480
Speaker 2: therapy is extremely expensive. Yeah, and when it's covered by

1450
01:06:19,600 --> 01:06:22,480
Speaker 2: health care plants, which it's often not. And I don't

1451
01:06:22,480 --> 01:06:24,240
Speaker 2: even think therapy is covered under the NHS.

1452
01:06:24,280 --> 01:06:24,400
Speaker 6: There.

1453
01:06:24,400 --> 01:06:27,640
Speaker 2: If it is, it's extremely it is. When I was there,

1454
01:06:27,680 --> 01:06:28,880
Speaker 2: I could not find a therapist.

1455
01:06:28,920 --> 01:06:31,400
Speaker 4: It was hard to find a therapist. But there it

1456
01:06:31,480 --> 01:06:32,240
Speaker 4: is covered.

1457
01:06:32,280 --> 01:06:34,160
Speaker 2: Then it may is like the thing is, then it

1458
01:06:34,200 --> 01:06:36,280
Speaker 2: may as well not be. And I say, this is

1459
01:06:36,320 --> 01:06:39,160
Speaker 2: a big NHS defender and lover of the NHS mental health.

1460
01:06:39,200 --> 01:06:41,840
Speaker 2: Is this weird bifurcated thing where everything's too expensive?

1461
01:06:41,920 --> 01:06:43,440
Speaker 1: So yeah, well, I mean, and that was I went

1462
01:06:43,480 --> 01:06:45,600
Speaker 1: to a panel that was about AI in the Future

1463
01:06:45,600 --> 01:06:48,480
Speaker 1: of mental health. And I went there hoping that it

1464
01:06:48,600 --> 01:06:51,240
Speaker 1: or expecting it to be a normal panel where I

1465
01:06:51,480 --> 01:06:53,720
Speaker 1: harass whoever is up there during the q and a.

1466
01:06:54,680 --> 01:06:57,560
Speaker 1: But no, it was one very earnest clinical therapist who

1467
01:06:57,600 --> 01:07:01,120
Speaker 1: was talking about people are already used AIS for therapy.

1468
01:07:01,240 --> 01:07:03,320
Speaker 1: We have data on how often that's being done, and

1469
01:07:03,360 --> 01:07:05,160
Speaker 1: we have data on the harms. And one of the

1470
01:07:05,160 --> 01:07:08,400
Speaker 1: reasons why it's harmful is because the ais are programmed

1471
01:07:08,440 --> 01:07:10,520
Speaker 1: to keep you using them as long as possible, and

1472
01:07:10,560 --> 01:07:12,919
Speaker 1: that there's certain behaviors that they exhibit that are bad

1473
01:07:12,960 --> 01:07:15,760
Speaker 1: for people. So we if we're going if it's possible

1474
01:07:15,800 --> 01:07:18,320
Speaker 1: to make a healthy therapeutic AI, these are the things

1475
01:07:18,320 --> 01:07:19,640
Speaker 1: that would need to do and not do. And one

1476
01:07:19,680 --> 01:07:21,280
Speaker 1: of the things is it would not have it would

1477
01:07:21,280 --> 01:07:23,880
Speaker 1: need to not work the way AI chatbots work in

1478
01:07:23,960 --> 01:07:26,640
Speaker 1: terms of constantly. And my question for her after the

1479
01:07:26,680 --> 01:07:29,360
Speaker 1: show was like, well, but like that seems like people

1480
01:07:29,440 --> 01:07:32,600
Speaker 1: won't use it and will just keep using the chaos.

1481
01:07:32,640 --> 01:07:33,080
Speaker 2: They're true.

1482
01:07:33,400 --> 01:07:38,120
Speaker 4: I think people journaling is a well understood therapeutical modality.

1483
01:07:38,840 --> 01:07:41,720
Speaker 4: Journaling with prompts is a well understood therapeutic modality. I

1484
01:07:41,760 --> 01:07:45,000
Speaker 4: think those prompts don't have to be very sophisticated, uh,

1485
01:07:45,040 --> 01:07:46,520
Speaker 4: And I think that there are lots of people who

1486
01:07:46,560 --> 01:07:49,200
Speaker 4: would find it nice to have a thing where when

1487
01:07:49,240 --> 01:07:52,040
Speaker 4: you type some stuff, gave you a response and said,

1488
01:07:52,200 --> 01:07:53,120
Speaker 4: you know, tell me more.

1489
01:07:53,240 --> 01:07:55,880
Speaker 2: I think you've kind of like this rosebud or something

1490
01:07:55,920 --> 01:07:58,360
Speaker 2: like there are ones like that as well. It's just

1491
01:07:58,400 --> 01:08:01,160
Speaker 2: when it comes to therapeutics, I guess more.

1492
01:08:01,200 --> 01:08:03,760
Speaker 1: My My concern was that I don't deny that there

1493
01:08:03,800 --> 01:08:06,160
Speaker 1: is a market and there are people who would get utility,

1494
01:08:06,200 --> 01:08:08,160
Speaker 1: and you probably could make a device that could handle

1495
01:08:08,200 --> 01:08:11,960
Speaker 1: that responsibly, but I don't see that as solving the

1496
01:08:12,080 --> 01:08:15,080
Speaker 1: societal issue of huge numbers of people use it because

1497
01:08:15,600 --> 01:08:18,920
Speaker 1: the chatbots are addicted, right, and that's what like that?

1498
01:08:18,920 --> 01:08:21,680
Speaker 1: That was my and to be very clear to her,

1499
01:08:21,720 --> 01:08:23,760
Speaker 1: I liked this person, and her answer was when I

1500
01:08:23,760 --> 01:08:26,360
Speaker 1: brought that up, I have that concern too, and I

1501
01:08:26,400 --> 01:08:28,880
Speaker 1: think it might not be really possible for this to

1502
01:08:29,000 --> 01:08:29,360
Speaker 1: help them.

1503
01:08:29,439 --> 01:08:31,240
Speaker 2: Well, the good news is is that none of this

1504
01:08:31,400 --> 01:08:34,080
Speaker 2: is remotely profitable in any way, and healthcare dates or

1505
01:08:34,160 --> 01:08:39,479
Speaker 2: is extremely extremely token intensive, and so anyone using this

1506
01:08:39,680 --> 01:08:41,639
Speaker 2: is just working on borrowed time.

1507
01:08:42,120 --> 01:08:45,160
Speaker 4: And in defense of chatbots and medical applications, they are

1508
01:08:45,200 --> 01:08:48,240
Speaker 4: reliably good at upcoting things in EHR, so you can

1509
01:08:48,320 --> 01:08:49,080
Speaker 4: rip off in sure.

1510
01:08:49,000 --> 01:08:49,639
Speaker 1: Which is great.

1511
01:08:49,680 --> 01:08:53,080
Speaker 2: And hey, no, I've heard that's the one that is

1512
01:08:53,080 --> 01:08:55,840
Speaker 2: the one lllm use I have heard where it's just like, yeah,

1513
01:08:55,920 --> 01:08:58,519
Speaker 2: find if you're being overcharged in this, which is you

1514
01:08:58,560 --> 01:08:59,719
Speaker 2: know what the one oh.

1515
01:08:59,600 --> 01:09:00,960
Speaker 1: No, I mean overcharging.

1516
01:09:01,439 --> 01:09:04,760
Speaker 4: They're very good at like EPIC, which is the Electronic

1517
01:09:04,840 --> 01:09:09,679
Speaker 4: Health Health Record monopolist, which is a cult. Basically, they

1518
01:09:10,840 --> 01:09:16,559
Speaker 4: they've basically redesigned the chapbots in their EHR systems around

1519
01:09:16,680 --> 01:09:19,920
Speaker 4: upcoding so that they can rip off insurres. So if

1520
01:09:19,960 --> 01:09:21,640
Speaker 4: you go in and you say I have an X

1521
01:09:21,640 --> 01:09:23,240
Speaker 4: and a Y and a Z, and they're like, well

1522
01:09:23,560 --> 01:09:25,840
Speaker 4: that infers I can infer that you have an A, N,

1523
01:09:25,880 --> 01:09:29,519
Speaker 4: A B in a c UH and also we can

1524
01:09:29,560 --> 01:09:32,479
Speaker 4: treat X as a we can treat X as this

1525
01:09:32,560 --> 01:09:35,880
Speaker 4: category of for reimbursement. In that category for reimbursement, I

1526
01:09:35,920 --> 01:09:38,479
Speaker 4: will prompt the clinician to enter a few more details

1527
01:09:38,479 --> 01:09:41,080
Speaker 4: that will allow us to This is why clinicians spend

1528
01:09:41,120 --> 01:09:43,719
Speaker 4: two hours doing data entry for every hour they spend

1529
01:09:43,760 --> 01:09:44,760
Speaker 4: doing clinical care.

1530
01:09:45,320 --> 01:09:47,639
Speaker 1: And that makes me think a product I might want

1531
01:09:47,680 --> 01:09:49,840
Speaker 1: because there's a lot of agentic AI here and I

1532
01:09:50,240 --> 01:09:53,160
Speaker 1: legitimately don't want an AI agent to handle stuff like

1533
01:09:53,640 --> 01:09:57,439
Speaker 1: booking flights or booking to my car to get repaired

1534
01:09:57,520 --> 01:10:00,280
Speaker 1: or whatever for me. But what could be useful is

1535
01:10:00,320 --> 01:10:02,479
Speaker 1: if somebody coded an AI agent that you could have

1536
01:10:02,640 --> 01:10:05,799
Speaker 1: call companies that you need to call on the phone

1537
01:10:05,840 --> 01:10:07,800
Speaker 1: and fight through their chatbot, and like, this is an

1538
01:10:07,800 --> 01:10:10,519
Speaker 1: optimized chatbot for fighting through other chatbots. We have that

1539
01:10:10,680 --> 01:10:12,759
Speaker 1: getting you. It's a product.

1540
01:10:12,840 --> 01:10:14,960
Speaker 2: Yeah, Human dot Com they already hit they've had that

1541
01:10:14,960 --> 01:10:15,439
Speaker 2: for a while.

1542
01:10:15,479 --> 01:10:16,240
Speaker 1: It's it's funny.

1543
01:10:16,280 --> 01:10:19,519
Speaker 2: It's like even the good idea, it's kind of already done. Also,

1544
01:10:19,720 --> 01:10:22,160
Speaker 2: if you use wargreens, I think if you just type

1545
01:10:22,200 --> 01:10:24,479
Speaker 2: seven seven to one the moment you call, you immediately

1546
01:10:24,479 --> 01:10:25,320
Speaker 2: go to the pharmacist.

1547
01:10:26,200 --> 01:10:27,040
Speaker 1: Yep, just do that.

1548
01:10:27,040 --> 01:10:29,040
Speaker 2: That's a little tip for you all, just if you'd

1549
01:10:29,080 --> 01:10:33,920
Speaker 2: work with wargreens. Fuck chatbots, Yeah, it's I also just

1550
01:10:33,960 --> 01:10:36,880
Speaker 2: think that it's irresponsible to have a chatbot talk about

1551
01:10:37,080 --> 01:10:40,120
Speaker 2: any healthcare thing, just because the nuance of what even

1552
01:10:40,200 --> 01:10:43,479
Speaker 2: I might my further radicalization of that is I think

1553
01:10:43,520 --> 01:10:46,040
Speaker 2: all the fitness stuff is unhealthy too, because you can

1554
01:10:46,120 --> 01:10:49,000
Speaker 2: fuck yourself up over training so easily. And while we

1555
01:10:49,000 --> 01:10:51,680
Speaker 2: were walking out Corey from the Venetian earlier today, there

1556
01:10:51,680 --> 01:10:53,960
Speaker 2: were a bunch of these AI training things and it's like,

1557
01:10:54,200 --> 01:10:57,320
Speaker 2: you'll fuck your shit and oh, we'll get your age

1558
01:10:57,320 --> 01:10:59,240
Speaker 2: and your weight and that will tell us everything. Not

1559
01:10:59,479 --> 01:11:03,760
Speaker 2: really h Oh, these fucking shows. Welleah I did.

1560
01:11:04,000 --> 01:11:06,840
Speaker 1: I went to a comedy smart I who they have

1561
01:11:06,880 --> 01:11:10,400
Speaker 1: an optical recognition program and it worked in that they

1562
01:11:11,360 --> 01:11:13,240
Speaker 1: had it read my eyes and then when I walked

1563
01:11:13,240 --> 01:11:15,320
Speaker 1: in front of it in the future, it would identify

1564
01:11:15,400 --> 01:11:17,320
Speaker 1: me by the name I gave it, and the other

1565
01:11:17,360 --> 01:11:19,960
Speaker 1: people by the name they gave it. But the thing

1566
01:11:19,960 --> 01:11:24,000
Speaker 1: that it was meant for is number one. Like several

1567
01:11:24,000 --> 01:11:26,240
Speaker 1: products I saw at CES, if you were distracted, if

1568
01:11:26,240 --> 01:11:28,240
Speaker 1: you're looking at your phone, or if you fall asleep

1569
01:11:28,240 --> 01:11:30,360
Speaker 1: while driving, it will try to wake you up, or

1570
01:11:30,400 --> 01:11:33,280
Speaker 1: it will say, hey, look away from your phone. And

1571
01:11:33,720 --> 01:11:37,240
Speaker 1: I guess that could be useful. But the other side

1572
01:11:37,240 --> 01:11:39,439
Speaker 1: of it was most of the products that I saw

1573
01:11:39,920 --> 01:11:43,200
Speaker 1: were built into these huge smart dashboards that were like

1574
01:11:43,400 --> 01:11:46,360
Speaker 1: giant screens in the front of the car. And we

1575
01:11:46,520 --> 01:11:49,600
Speaker 1: know that when people are manipulating a big screen in

1576
01:11:49,680 --> 01:11:52,559
Speaker 1: a car, they are as bad as a drunk driver,

1577
01:11:52,880 --> 01:11:56,280
Speaker 1: right yeah, And so it's like, well, you you're offering

1578
01:11:56,280 --> 01:11:59,080
Speaker 1: a solution to the problem that was created by cramming

1579
01:11:59,080 --> 01:12:01,800
Speaker 1: a necessary crap cars. The other thing that they were

1580
01:12:01,800 --> 01:12:03,680
Speaker 1: showing is that we can we can see if you're

1581
01:12:03,720 --> 01:12:06,519
Speaker 1: drunk based on the way your eyes look which they

1582
01:12:06,600 --> 01:12:09,400
Speaker 1: said they got a lady drunk on a closed track

1583
01:12:09,600 --> 01:12:12,920
Speaker 1: and had it identify her. And I have no way

1584
01:12:12,960 --> 01:12:16,559
Speaker 1: of evaluating whether this works. But people when I posted

1585
01:12:16,560 --> 01:12:18,559
Speaker 1: a video of it, pointed out in the comments, I

1586
01:12:18,680 --> 01:12:22,320
Speaker 1: have this issue right with my eyes. I wonder if

1587
01:12:22,320 --> 01:12:24,600
Speaker 1: it's going to just point at call me drunk, And

1588
01:12:24,640 --> 01:12:26,360
Speaker 1: I kind of wonder, are we going to also see

1589
01:12:26,400 --> 01:12:29,880
Speaker 1: that certain people? They did not groups of people of

1590
01:12:30,080 --> 01:12:32,599
Speaker 1: different ethnicities. They didn't test it widely enough, and so

1591
01:12:32,640 --> 01:12:35,400
Speaker 1: it just decides everyone of this ethnicity is drying. Microsoft

1592
01:12:35,720 --> 01:12:41,559
Speaker 1: American if you're a drunk American, right, yes I am.

1593
01:12:42,320 --> 01:12:44,760
Speaker 2: But also people drive on the different side of the

1594
01:12:44,840 --> 01:12:47,920
Speaker 2: roads so that eyes would possibly look in different directions.

1595
01:12:48,160 --> 01:12:50,920
Speaker 2: And I always think, and I mentioned it earlier, Microsoft

1596
01:12:50,920 --> 01:12:54,960
Speaker 2: Connect which could not see black people quite literally batter

1597
01:12:54,960 --> 01:12:58,479
Speaker 2: off ted anyone remember bat of great show, Literally we

1598
01:12:58,560 --> 01:12:59,000
Speaker 2: see you.

1599
01:12:59,400 --> 01:13:01,160
Speaker 1: And that was the And I don't know that smart

1600
01:13:01,160 --> 01:13:02,719
Speaker 1: Ie has this I have because I can't.

1601
01:13:03,640 --> 01:13:05,360
Speaker 2: I can't. Really I did show up.

1602
01:13:05,400 --> 01:13:09,960
Speaker 1: I had ripped a shipload of uh my my CBG joint,

1603
01:13:10,000 --> 01:13:12,519
Speaker 1: which is like, himp, what is CBG? It's one of

1604
01:13:12,560 --> 01:13:15,240
Speaker 1: the many different cannabinoids. They figured out how to extract

1605
01:13:15,280 --> 01:13:18,920
Speaker 1: and that's federally legal for that doblement. So I was

1606
01:13:19,000 --> 01:13:20,519
Speaker 1: high as hell and I'd taken a shipload of my

1607
01:13:20,560 --> 01:13:23,639
Speaker 1: Credom pills and it didn't notify that I was fucked up,

1608
01:13:23,960 --> 01:13:24,960
Speaker 1: but I wasn't drunk.

1609
01:13:25,200 --> 01:13:29,000
Speaker 2: So so you can drive on CBG and cradle. Yeah,

1610
01:13:29,560 --> 01:13:31,040
Speaker 2: you know I should not have been driving.

1611
01:13:31,160 --> 01:13:32,800
Speaker 1: Yeah, driving high as fine, that's on this.

1612
01:13:34,880 --> 01:13:37,320
Speaker 4: I mean, if you if you take a little k

1613
01:13:38,080 --> 01:13:39,680
Speaker 4: just get just get to the edge of the k

1614
01:13:39,800 --> 01:13:40,679
Speaker 4: hole when.

1615
01:13:43,200 --> 01:13:43,479
Speaker 1: Best.

1616
01:13:43,640 --> 01:13:46,479
Speaker 3: Yeah, you can become the richest man in the world.

1617
01:13:47,160 --> 01:13:49,040
Speaker 9: It turns out you can use you can use nitrous

1618
01:13:49,120 --> 01:13:50,920
Speaker 9: in multiple ways in your car.

1619
01:13:51,120 --> 01:13:53,559
Speaker 1: Look, some of us may have done car nitrous before,

1620
01:13:53,600 --> 01:13:56,519
Speaker 1: and if so, as long as you don't do a double,

1621
01:13:56,560 --> 01:13:57,080
Speaker 1: it's safe.

1622
01:13:57,160 --> 01:13:59,760
Speaker 2: Better or flying brow By Calmageddon like.

1623
01:14:00,680 --> 01:14:03,519
Speaker 1: Steve Jackson's Car Wars. Jesus Christ.

1624
01:14:03,720 --> 01:14:06,360
Speaker 2: That's a blast from the Pand oh my god, now

1625
01:14:06,400 --> 01:14:07,559
Speaker 2: they're doing a newcom again.

1626
01:14:07,640 --> 01:14:08,639
Speaker 1: Now it's gonna be nice.

1627
01:14:08,880 --> 01:14:14,120
Speaker 2: Yeah, it's I can't stop thinking of the eye thing now.

1628
01:14:14,160 --> 01:14:16,680
Speaker 2: It's really bothered me because that feels like this, How

1629
01:14:16,720 --> 01:14:18,559
Speaker 2: would you possibly ever get enough data?

1630
01:14:19,800 --> 01:14:21,960
Speaker 1: I don't. That's the thing is they had a video

1631
01:14:22,160 --> 01:14:24,720
Speaker 1: of it recognizing a drunk person, but nothing that they

1632
01:14:24,720 --> 01:14:25,320
Speaker 1: had at the show.

1633
01:14:25,439 --> 01:14:28,320
Speaker 2: I cannot test. You should just get every journalist rip

1634
01:14:28,400 --> 01:14:30,800
Speaker 2: ship and just to be like, yeah, this is there

1635
01:14:30,880 --> 01:14:31,240
Speaker 2: used to.

1636
01:14:31,200 --> 01:14:34,320
Speaker 1: Be bars at some of the Yeah, and that's what

1637
01:14:34,360 --> 01:14:35,880
Speaker 1: they should have had. They should have been like, take

1638
01:14:35,960 --> 01:14:37,559
Speaker 1: three shots and get in front of this thing. You

1639
01:14:37,600 --> 01:14:39,120
Speaker 1: see if it can tell response.

1640
01:14:39,200 --> 01:14:41,519
Speaker 9: No, they should have like a driving simulator and they

1641
01:14:43,200 --> 01:14:45,320
Speaker 9: should have like shots and you should be able to

1642
01:14:45,360 --> 01:14:47,840
Speaker 9: go up do some shots, getting driving simulator and see

1643
01:14:47,840 --> 01:14:49,320
Speaker 9: if it can tell if you're drunk driving.

1644
01:14:49,360 --> 01:14:50,519
Speaker 2: Again, this sounds great.

1645
01:14:50,600 --> 01:14:54,960
Speaker 1: This is why CEES needs to be moved to Minneapolis, right.

1646
01:14:55,040 --> 01:15:00,120
Speaker 2: No, no, absolutely not in January? Are you insane? That

1647
01:15:00,320 --> 01:15:05,360
Speaker 2: mean drunk driving city in January it's gonna be ice everywhere.

1648
01:15:05,840 --> 01:15:12,519
Speaker 1: Well there's currently everywhere everywhere. Oh god, now.

1649
01:15:12,479 --> 01:15:15,080
Speaker 2: They should they should move it somewhere more punishing, though.

1650
01:15:15,120 --> 01:15:17,880
Speaker 2: I agree it's Vegas is too nice. Let's send this

1651
01:15:17,960 --> 01:15:23,080
Speaker 2: the fucking like Merced, California. There we go, black Rock Desert.

1652
01:15:23,160 --> 01:15:24,920
Speaker 1: There we No, No, no, that's too nice.

1653
01:15:26,760 --> 01:15:32,120
Speaker 2: Ce s Dallas, Yeah, Dallas, Dallas, joke about that. Yeah,

1654
01:15:32,120 --> 01:15:34,360
Speaker 2: that would be to Orlando, Florida.

1655
01:15:34,120 --> 01:15:36,600
Speaker 1: The most the most.

1656
01:15:36,400 --> 01:15:40,320
Speaker 2: Painful place in the world, the most I'm I'm not

1657
01:15:40,320 --> 01:15:42,360
Speaker 2: not super spiritual, but that place is.

1658
01:15:42,320 --> 01:15:44,479
Speaker 1: Bathed in evil. And I live in Las Vegas.

1659
01:15:44,560 --> 01:15:47,080
Speaker 9: Yeah, you live in Vegas. You can't see very little

1660
01:15:47,160 --> 01:15:47,960
Speaker 9: room to stand up.

1661
01:15:48,080 --> 01:15:49,920
Speaker 4: I have a lot of experience. I mean, if we're

1662
01:15:49,920 --> 01:15:52,800
Speaker 4: going to Florida London, how about clear Water right, the

1663
01:15:54,960 --> 01:15:59,080
Speaker 4: world's headquarters for flexidisc manufacturing scientology.

1664
01:15:59,240 --> 01:16:01,240
Speaker 1: Yeah, and I you know, to be honest, a lot

1665
01:16:01,280 --> 01:16:05,120
Speaker 1: of people don't like the culty aspects of flexi disc.

1666
01:16:05,240 --> 01:16:08,800
Speaker 1: But I think, you know, there's a lot of what

1667
01:16:08,920 --> 01:16:10,400
Speaker 1: is that I don't know you.

1668
01:16:10,280 --> 01:16:15,400
Speaker 4: Ever buy a magazine that had a floppy printed forty

1669
01:16:15,439 --> 01:16:18,680
Speaker 4: five rpm record that you tore out of the magazine

1670
01:16:18,680 --> 01:16:19,920
Speaker 4: and put on your turntable.

1671
01:16:20,160 --> 01:16:21,759
Speaker 1: No, that is a flexi disk?

1672
01:16:22,360 --> 01:16:24,040
Speaker 2: Well when when was this the thing?

1673
01:16:24,560 --> 01:16:25,719
Speaker 1: It was a thing from.

1674
01:16:25,560 --> 01:16:29,000
Speaker 4: Like the fifties through the early two thousands.

1675
01:16:29,080 --> 01:16:32,840
Speaker 1: Really, wow, Garrison, that's basically like a CD rom But

1676
01:16:33,600 --> 01:16:37,080
Speaker 1: oh I got it that I woke one of It's

1677
01:16:37,120 --> 01:16:44,960
Speaker 1: like a DVD for your ears. That might be what

1678
01:16:45,120 --> 01:16:46,280
Speaker 1: finally broke me on this.

1679
01:16:46,800 --> 01:16:49,439
Speaker 4: I mentioned on an earlier installment of this that one

1680
01:16:49,439 --> 01:16:51,840
Speaker 4: of my Christmas gifts was this Olivetti typewriter. But one

1681
01:16:51,880 --> 01:16:54,360
Speaker 4: of my other Christmas gifts was a Mad magazine from

1682
01:16:54,439 --> 01:16:59,080
Speaker 4: nineteen eighty one with a Flexi disc. It's the great, big,

1683
01:16:59,120 --> 01:17:03,400
Speaker 4: beautiful day fly desk that had they recorded eight different

1684
01:17:03,520 --> 01:17:06,400
Speaker 4: endings to the track and they had a in the

1685
01:17:06,439 --> 01:17:09,479
Speaker 4: groove that has a hard stop that caused the needle

1686
01:17:09,520 --> 01:17:11,320
Speaker 4: to pop up and it would land in one of

1687
01:17:11,360 --> 01:17:12,360
Speaker 4: eight random tracks.

1688
01:17:12,479 --> 01:17:15,840
Speaker 1: That's cool. That's actually the coolest shit.

1689
01:17:16,360 --> 01:17:20,480
Speaker 2: Also, that's cooler than anything I've seen it. Yes, technically

1690
01:17:20,640 --> 01:17:23,479
Speaker 2: based on the standards of ce S. That's AI enabled.

1691
01:17:24,160 --> 01:17:30,360
Speaker 4: That's a smart smart and actually quite literally more reliable

1692
01:17:30,439 --> 01:17:31,479
Speaker 4: than any LM.

1693
01:17:32,080 --> 01:17:35,000
Speaker 2: It's all on device, doesn't connect to the cloud. It's

1694
01:17:35,000 --> 01:17:38,479
Speaker 2: everything we've been looking for in products.

1695
01:17:37,080 --> 01:17:41,479
Speaker 4: And it's customizable and uh user centric.

1696
01:17:41,600 --> 01:17:43,880
Speaker 2: Yeah, wow, I love this. This is the only company

1697
01:17:43,880 --> 01:17:45,919
Speaker 2: I respect. I heard about this week.

1698
01:17:45,920 --> 01:17:48,760
Speaker 1: I Wills in terms of good products. We saw Gary

1699
01:17:48,760 --> 01:17:50,080
Speaker 1: and I we talked about this on our show. I

1700
01:17:50,080 --> 01:17:52,120
Speaker 1: talked about in the first episode with you. There are

1701
01:17:52,160 --> 01:17:56,759
Speaker 1: a lot of exoskeleton products out that are a mix

1702
01:17:56,800 --> 01:17:58,639
Speaker 1: of and often they're meant for both, but a mix

1703
01:17:58,680 --> 01:18:01,160
Speaker 1: of therapeutic for people who have different like disabilities where

1704
01:18:01,160 --> 01:18:04,400
Speaker 1: they might need the extra assistance offered, and also for

1705
01:18:04,520 --> 01:18:07,400
Speaker 1: like laborers, for people working, and I'm also like people

1706
01:18:07,439 --> 01:18:10,320
Speaker 1: doing working like factories. The shoe one, I didn't get

1707
01:18:10,320 --> 01:18:12,479
Speaker 1: to see shoe ones. There's some upper body ones, yeah,

1708
01:18:12,520 --> 01:18:15,719
Speaker 1: the hip ones, and some they're now being also marketed

1709
01:18:15,720 --> 01:18:18,080
Speaker 1: as like this is really useful for people who are hiking,

1710
01:18:18,080 --> 01:18:19,519
Speaker 1: who are carrying, who are out in the way. Were

1711
01:18:19,560 --> 01:18:22,040
Speaker 1: talking weights, and we got to test one. They they

1712
01:18:22,280 --> 01:18:24,479
Speaker 1: sent me. They gave me hyper Shell gave me one

1713
01:18:24,479 --> 01:18:28,040
Speaker 1: of their units that retailed for about two grand. They

1714
01:18:28,200 --> 01:18:30,639
Speaker 1: range from about two grand or about one one thousand

1715
01:18:30,720 --> 01:18:33,439
Speaker 1: dollars to a couple of thousand dollars, but the one

1716
01:18:33,439 --> 01:18:34,760
Speaker 1: we've got is about a two grand unit.

1717
01:18:34,960 --> 01:18:35,880
Speaker 2: Gary and I both wore it.

1718
01:18:36,120 --> 01:18:37,800
Speaker 1: I have some data on it, by which I mean

1719
01:18:37,920 --> 01:18:40,679
Speaker 1: I tracked how fast I was moving. I walked from

1720
01:18:40,720 --> 01:18:44,360
Speaker 1: the Venetian to the LBCC, and normally when I am

1721
01:18:44,360 --> 01:18:46,479
Speaker 1: just walking and on a particular hurry, it's about a

1722
01:18:46,520 --> 01:18:48,519
Speaker 1: nineteen twenty minute mile if I'm just kind of like

1723
01:18:48,560 --> 01:18:50,920
Speaker 1: walking and not going, which is more or less normal,

1724
01:18:52,160 --> 01:18:54,680
Speaker 1: and my heart rates usually between like ninety five and

1725
01:18:54,680 --> 01:18:56,280
Speaker 1: like one oh three or something like that. If I'm

1726
01:18:56,280 --> 01:19:00,960
Speaker 1: like walking, and when I had the the exoskeleton on,

1727
01:19:01,280 --> 01:19:05,080
Speaker 1: my pace was between fifteen thirty and like sixteen twenty as.

1728
01:19:05,240 --> 01:19:07,840
Speaker 1: Oh and my heart rate was never more than like

1729
01:19:07,920 --> 01:19:11,320
Speaker 1: one or two higher than normal amount of effort.

1730
01:19:11,439 --> 01:19:13,439
Speaker 2: Yeah yeah, same amount like again my heart rate.

1731
01:19:13,520 --> 01:19:15,640
Speaker 1: Yeah, like that's that's yeah, because you can feel it

1732
01:19:15,680 --> 01:19:18,519
Speaker 1: like lifting your legs. Basically it is kind of moving you.

1733
01:19:19,760 --> 01:19:22,519
Speaker 1: I didn't have any less foot pain, like by the

1734
01:19:22,640 --> 01:19:24,479
Speaker 1: end of the day, fourteen thousand steps or so, like

1735
01:19:24,479 --> 01:19:26,920
Speaker 1: my feet. You're sure because it doesn't do anything to

1736
01:19:26,920 --> 01:19:29,360
Speaker 1: your feet, But my knees didn't feel strained, and my

1737
01:19:29,360 --> 01:19:31,880
Speaker 1: lower back didn't feel strained. That's you know what.

1738
01:19:31,960 --> 01:19:34,559
Speaker 2: I found it pretty cool? Yeah, I like this. I

1739
01:19:34,800 --> 01:19:38,519
Speaker 2: like this in a quite cynical CS. Yeah, I actually

1740
01:19:38,600 --> 01:19:42,120
Speaker 2: really love the visa everywhere. These are actually future tech,

1741
01:19:42,200 --> 01:19:43,240
Speaker 2: but fucking rocks.

1742
01:19:43,280 --> 01:19:46,240
Speaker 1: I actually I literally thanked the rep who had given

1743
01:19:46,280 --> 01:19:48,120
Speaker 1: them to me, not forgiving me to them, but just like,

1744
01:19:48,160 --> 01:19:51,040
Speaker 1: thank you guys for bringing a real thing to the show. Yes,

1745
01:19:51,280 --> 01:19:53,760
Speaker 1: like when you went through the entrance metal detective, it

1746
01:19:53,760 --> 01:19:54,000
Speaker 1: was fine.

1747
01:19:54,040 --> 01:19:57,000
Speaker 2: They didn't even notice it. Really, that's not good, no.

1748
01:19:56,680 --> 01:19:58,840
Speaker 1: No at all, Like carbon fiber or something.

1749
01:19:58,760 --> 01:20:01,760
Speaker 2: Yeah, yeah, oh wow, Hyper show should let me have one.

1750
01:20:02,040 --> 01:20:04,800
Speaker 1: I'm sure we can get you try and get used

1751
01:20:04,840 --> 01:20:06,280
Speaker 1: to too similar response. Yeah, I know.

1752
01:20:06,360 --> 01:20:09,680
Speaker 2: We talked about it yesterday on the show. I think

1753
01:20:09,680 --> 01:20:11,960
Speaker 2: it's really cool that, like, again I've been trashing this

1754
01:20:12,040 --> 01:20:15,240
Speaker 2: show with good fucking reason, but I like that they're

1755
01:20:15,240 --> 01:20:17,240
Speaker 2: doing this. I like that we finally see because that

1756
01:20:17,400 --> 01:20:20,120
Speaker 2: I've seen like kind of like shreds off across the

1757
01:20:20,120 --> 01:20:23,639
Speaker 2: ears and they're everywhere in a show that otherwise should

1758
01:20:23,680 --> 01:20:28,120
Speaker 2: be shut down. Uh, maybe not the entire thing there is.

1759
01:20:28,280 --> 01:20:31,320
Speaker 1: That's part. Part of what's frustrating is there are people

1760
01:20:31,360 --> 01:20:34,240
Speaker 1: doing innovative stuff. Like I've talked about the photonic muscles

1761
01:20:34,320 --> 01:20:38,000
Speaker 1: right where it is like a device that replicates the

1762
01:20:38,000 --> 01:20:40,800
Speaker 1: way physical muscles work. Yeah, that was interesting. Yeah, where

1763
01:20:40,800 --> 01:20:42,240
Speaker 1: you like you shine a light and it causes to

1764
01:20:42,280 --> 01:20:44,040
Speaker 1: constrict and you can use it as like a motor

1765
01:20:44,040 --> 01:20:46,000
Speaker 1: and it takes up less space than a motor. But

1766
01:20:46,040 --> 01:20:47,800
Speaker 1: they're not being like and this is going to be

1767
01:20:47,920 --> 01:20:49,920
Speaker 1: in everything. They were like, we see this as having

1768
01:20:50,000 --> 01:20:53,000
Speaker 1: applications and different like automotive things for small motors, and

1769
01:20:53,040 --> 01:20:55,599
Speaker 1: it can make things lighter. And I was like, you

1770
01:20:55,680 --> 01:20:58,920
Speaker 1: are You've made something that's cool, and you you're not

1771
01:20:59,080 --> 01:21:01,880
Speaker 1: promising this is going to be the future of everything.

1772
01:21:01,920 --> 01:21:03,519
Speaker 1: You're not trying to show me how this is a

1773
01:21:03,520 --> 01:21:05,840
Speaker 1: three billion dollar industry. You're trying to be like, and

1774
01:21:05,880 --> 01:21:08,840
Speaker 1: now your car will be a little lighter and this

1775
01:21:09,000 --> 01:21:11,320
Speaker 1: motor will break less often than the previous kinds of

1776
01:21:11,320 --> 01:21:12,719
Speaker 1: motors that we're used in this application.

1777
01:21:12,760 --> 01:21:15,559
Speaker 2: I'm like, that's the thing. Thank you, Garrett.

1778
01:21:15,560 --> 01:21:18,680
Speaker 4: You and Robert are different shapes to be, you know,

1779
01:21:18,800 --> 01:21:23,640
Speaker 4: to broadly, we wearing different axos.

1780
01:21:24,360 --> 01:21:29,439
Speaker 9: Yeah, we are slightly slightly different in size. Ye hurtful

1781
01:21:29,640 --> 01:21:33,479
Speaker 9: the same exim so it has the bad adjusted the

1782
01:21:33,520 --> 01:21:36,360
Speaker 9: carbon fiber slides on both sides so it can get

1783
01:21:36,400 --> 01:21:38,640
Speaker 9: wider for the hips. I did have it at the

1784
01:21:38,800 --> 01:21:42,040
Speaker 9: smallest option, but I'm the kind of in terms of

1785
01:21:42,040 --> 01:21:45,160
Speaker 9: my hips, I'm kind of the smallest adult size there is.

1786
01:21:45,960 --> 01:21:46,759
Speaker 2: Yes, I am.

1787
01:21:46,560 --> 01:21:49,719
Speaker 9: I am an examorphous And then the leg straps also

1788
01:21:49,760 --> 01:21:52,160
Speaker 9: have like some pretty some pretty strong eylon, so you

1789
01:21:52,160 --> 01:21:54,880
Speaker 9: can tighten in two cases for it to go above

1790
01:21:54,920 --> 01:21:58,800
Speaker 9: your knee. I definitely if I was considerably smaller, it

1791
01:21:58,960 --> 01:22:01,400
Speaker 9: may not have fit on as as well. But like

1792
01:22:01,520 --> 01:22:03,360
Speaker 9: it's it's it's it's difficult because like I have like

1793
01:22:03,360 --> 01:22:05,840
Speaker 9: a very like twinkish form like with some some people

1794
01:22:05,840 --> 01:22:11,320
Speaker 9: who are like smaller than me, which which should be

1795
01:22:11,320 --> 01:22:11,800
Speaker 9: which was.

1796
01:22:11,760 --> 01:22:13,400
Speaker 2: Going to be in really Scott's new alien film.

1797
01:22:13,560 --> 01:22:16,720
Speaker 9: Yeah, but no, Like if it's certain people who are

1798
01:22:16,720 --> 01:22:18,240
Speaker 9: like smaller than me in a lot of ways might

1799
01:22:18,280 --> 01:22:20,639
Speaker 9: have bigger hips, it would it would fit on them.

1800
01:22:20,880 --> 01:22:21,200
Speaker 1: Fine.

1801
01:22:21,479 --> 01:22:23,840
Speaker 9: If if someone's hips were considerably smaller than mine, then

1802
01:22:23,840 --> 01:22:25,920
Speaker 9: they might have a child, then they might have a

1803
01:22:25,960 --> 01:22:31,080
Speaker 9: problem and it but it it works, It worked for

1804
01:22:31,120 --> 01:22:31,439
Speaker 9: my side.

1805
01:22:31,520 --> 01:22:33,960
Speaker 1: Yeah, And there is there is an app which gives

1806
01:22:33,960 --> 01:22:36,599
Speaker 1: you more control over the device and the fit. You

1807
01:22:36,640 --> 01:22:38,400
Speaker 1: can control it all in the fitness but you can

1808
01:22:38,479 --> 01:22:40,759
Speaker 1: control it all with the button. But with the button

1809
01:22:40,800 --> 01:22:42,640
Speaker 1: you're kind of like there's four levels, and with the

1810
01:22:42,680 --> 01:22:44,760
Speaker 1: app you could be like I wanted it thirty one

1811
01:22:44,920 --> 01:22:47,160
Speaker 1: percent or whatever, so you have a little more adjustment.

1812
01:22:47,280 --> 01:22:50,160
Speaker 2: And what does what does the power on it?

1813
01:22:50,240 --> 01:22:53,120
Speaker 1: You can feel it lifting your legs as you walk,

1814
01:22:53,200 --> 01:22:55,400
Speaker 1: and it's like something lifting your body.

1815
01:22:55,560 --> 01:22:57,519
Speaker 4: Is it like just turning your e bike from three

1816
01:22:57,560 --> 01:22:57,920
Speaker 4: to four?

1817
01:22:58,200 --> 01:22:58,800
Speaker 2: Yeah kind of.

1818
01:22:59,000 --> 01:23:02,080
Speaker 1: Yeah, it's your physical but it also when you install it,

1819
01:23:02,160 --> 01:23:03,760
Speaker 1: you put in your weight and your height and it

1820
01:23:03,800 --> 01:23:06,040
Speaker 1: will tell you this is probably where you.

1821
01:23:06,000 --> 01:23:06,760
Speaker 2: Want to adjust it.

1822
01:23:06,760 --> 01:23:09,760
Speaker 1: There's like numbers when you like white, probably what will

1823
01:23:09,760 --> 01:23:12,320
Speaker 1: work best for your body. I like this. It's a

1824
01:23:12,320 --> 01:23:12,960
Speaker 1: good product.

1825
01:23:13,120 --> 01:23:15,639
Speaker 2: Yeah, I wish more things will like that.

1826
01:23:15,880 --> 01:23:17,960
Speaker 1: I you know, it's not two thousand dollars is not

1827
01:23:18,000 --> 01:23:20,280
Speaker 1: a casual purchase for most people. But it's not like

1828
01:23:20,439 --> 01:23:23,639
Speaker 1: insanely out of reach for a normal person. And it's

1829
01:23:23,640 --> 01:23:26,160
Speaker 1: a business for and it's certainly reasonable for a business.

1830
01:23:26,160 --> 01:23:28,760
Speaker 1: And I think they do worth what they're charging. They

1831
01:23:28,840 --> 01:23:29,720
Speaker 1: do have it, you need it.

1832
01:23:29,880 --> 01:23:32,519
Speaker 9: Their their last model from from last year is it's

1833
01:23:32,520 --> 01:23:34,599
Speaker 9: like a thousand dollars like this is this is, this

1834
01:23:34,640 --> 01:23:36,479
Speaker 9: is this is this is their new.

1835
01:23:36,360 --> 01:23:38,800
Speaker 2: Pro version and this is a weird thing. I know

1836
01:23:38,840 --> 01:23:41,160
Speaker 2: that this is a weirdly optimistic thing. I can imagine

1837
01:23:41,160 --> 01:23:42,599
Speaker 2: them being cheaper until three years.

1838
01:23:42,880 --> 01:23:44,599
Speaker 1: I'm sure they will be And I.

1839
01:23:44,520 --> 01:23:47,000
Speaker 2: Think, I see this is like two thousand dollars not

1840
01:23:47,120 --> 01:23:49,280
Speaker 2: to be able to walk regularly when you conned.

1841
01:23:49,479 --> 01:23:49,679
Speaker 4: Yeah.

1842
01:23:50,280 --> 01:23:50,519
Speaker 6: Cool.

1843
01:23:50,880 --> 01:23:52,600
Speaker 1: Well, and the other thing that I'm working on and

1844
01:23:52,640 --> 01:23:54,240
Speaker 1: I'm trying to get one of the companies that makes

1845
01:23:54,240 --> 01:23:56,240
Speaker 1: a full body the upper body one too, because I

1846
01:23:56,280 --> 01:23:58,880
Speaker 1: have an environment and putting on my body armor, like

1847
01:23:58,960 --> 01:24:02,479
Speaker 1: my my, my my plate carrier and my helmet. And

1848
01:24:02,560 --> 01:24:06,400
Speaker 1: I think that there's an opportunity to create your own

1849
01:24:06,640 --> 01:24:09,960
Speaker 1: like Jerry rigged power armor out of this And like

1850
01:24:10,080 --> 01:24:12,479
Speaker 1: every American boy, all I've ever wanted to do is

1851
01:24:12,520 --> 01:24:14,559
Speaker 1: be a space marine. So I really do think I

1852
01:24:14,560 --> 01:24:17,559
Speaker 1: think there's a potential. So you could be Matt Diamond

1853
01:24:17,560 --> 01:24:21,439
Speaker 1: in Elysium. No, no, no, I love the Space Marine. Yeah,

1854
01:24:21,479 --> 01:24:23,040
Speaker 1: Warhammer style. Yeah.

1855
01:24:23,080 --> 01:24:25,720
Speaker 4: Do you know they have a fucking trademark they took

1856
01:24:25,720 --> 01:24:26,559
Speaker 4: out on Space Marine?

1857
01:24:26,600 --> 01:24:27,600
Speaker 1: They sure did. They shared it.

1858
01:24:27,760 --> 01:24:32,719
Speaker 10: I mean, I meanshop oh get they are there there.

1859
01:24:33,160 --> 01:24:35,000
Speaker 10: This is a whole separate cop But like their their

1860
01:24:35,040 --> 01:24:39,240
Speaker 10: attitude towards like intellectual property law has been crazy, Like

1861
01:24:39,320 --> 01:24:41,759
Speaker 10: for the last thirty years, there hasn't been any movies

1862
01:24:41,880 --> 01:24:44,880
Speaker 10: or TV despite the massive demand for it, and they

1863
01:24:44,880 --> 01:24:47,639
Speaker 10: would sue anyone who created like fan ones.

1864
01:24:48,120 --> 01:24:48,720
Speaker 2: Uh.

1865
01:24:48,760 --> 01:24:51,240
Speaker 1: Like there was a German a full length fan movie

1866
01:24:51,240 --> 01:24:53,719
Speaker 1: that they had scrubbed from the Internet because the argument

1867
01:24:53,800 --> 01:24:56,600
Speaker 1: was that German intellectual property laws would mean that they

1868
01:24:56,640 --> 01:24:58,960
Speaker 1: would not have full control of their IP if they

1869
01:24:58,960 --> 01:25:00,920
Speaker 1: allowed this fan probab to exist.

1870
01:25:00,720 --> 01:25:03,200
Speaker 4: Which is I mean, this is the trademark argument. It's

1871
01:25:03,200 --> 01:25:05,760
Speaker 4: a story that trademark lawyers tell their children when they're

1872
01:25:05,800 --> 01:25:08,200
Speaker 4: worried about not having enough money to pay for college.

1873
01:25:08,320 --> 01:25:09,160
Speaker 1: It's nonsense.

1874
01:25:09,520 --> 01:25:13,640
Speaker 4: This trademark genericization generous bullshit.

1875
01:25:13,760 --> 01:25:16,200
Speaker 2: But Games Workshop is otherwise kind of a cool company,

1876
01:25:16,240 --> 01:25:19,120
Speaker 2: I thought. I mean, they they pay people well.

1877
01:25:19,240 --> 01:25:20,479
Speaker 1: I think they've got good lore.

1878
01:25:20,680 --> 01:25:21,920
Speaker 2: Yeah, and they got more.

1879
01:25:22,040 --> 01:25:23,920
Speaker 1: They've got good minis also there.

1880
01:25:23,800 --> 01:25:24,799
Speaker 2: A weird company.

1881
01:25:24,920 --> 01:25:25,360
Speaker 1: I did that.

1882
01:25:25,600 --> 01:25:28,160
Speaker 2: I enjoy the fact also that they don't even try

1883
01:25:28,200 --> 01:25:30,320
Speaker 2: and romanticize any of it. They're just like, no, they

1884
01:25:30,400 --> 01:25:31,320
Speaker 2: fucking anyone.

1885
01:25:31,439 --> 01:25:33,880
Speaker 4: They bring enormous pleasure to Riley Quinn, who is a

1886
01:25:33,920 --> 01:25:35,160
Speaker 4: force for good on that right.

1887
01:25:35,479 --> 01:25:38,719
Speaker 2: Coming up better offline, we're doing a thing with Trash Future.

1888
01:25:38,720 --> 01:25:40,559
Speaker 2: It's coming up in the that's me announcing it. That's

1889
01:25:40,560 --> 01:25:41,040
Speaker 2: all you're getting.

1890
01:25:41,160 --> 01:25:43,040
Speaker 1: No, I love Hams. We'll be doing it, launching a

1891
01:25:43,080 --> 01:25:47,160
Speaker 1: Hams podcast has well, like the that's what the kids

1892
01:25:47,200 --> 01:25:49,320
Speaker 1: call it, what what Hams?

1893
01:25:49,560 --> 01:25:52,600
Speaker 2: Well, just like the Warhammer warham Hams Sorry for a

1894
01:25:52,600 --> 01:25:54,200
Speaker 2: certain British this is your culture.

1895
01:25:54,560 --> 01:25:55,320
Speaker 1: Yeah I did.

1896
01:25:55,439 --> 01:25:58,520
Speaker 2: I hung out like the one happy place in Hammersmith,

1897
01:25:58,600 --> 01:26:01,439
Speaker 2: London where it was the local game workshop thing. I

1898
01:26:01,960 --> 01:26:03,759
Speaker 2: found the space Marine game kind of shit.

1899
01:26:03,680 --> 01:26:08,479
Speaker 1: Though the new one. Yeah, it was just repetitive no orcs, no, no, no,

1900
01:26:08,640 --> 01:26:10,400
Speaker 1: they went they went with tear nits and chaos.

1901
01:26:10,400 --> 01:26:14,240
Speaker 2: Or actually I wanted like Yobo orcs like so I

1902
01:26:14,280 --> 01:26:17,639
Speaker 2: could feel at home, like being beset with men going.

1903
01:26:18,760 --> 01:26:22,120
Speaker 1: My favorite piece of warhammer lore is that Games Workshops orcs,

1904
01:26:22,160 --> 01:26:25,040
Speaker 1: which started out in Fantasy and then when they created

1905
01:26:25,040 --> 01:26:29,320
Speaker 1: forty k Mitigated that were initially largely created to be

1906
01:26:29,400 --> 01:26:35,639
Speaker 1: a parody of the Diggers, as in the Anarchists. Yeah, yes, God.

1907
01:26:36,160 --> 01:26:39,360
Speaker 1: One of their games was specifically based on the coal

1908
01:26:39,400 --> 01:26:43,160
Speaker 1: mine protests during the Thatcher era, with orcs that were

1909
01:26:43,200 --> 01:26:45,600
Speaker 1: standing in for the different sites, including an orc that

1910
01:26:45,680 --> 01:26:49,640
Speaker 1: was like basically Margaret Thatcher. Like, there was a like

1911
01:26:50,439 --> 01:26:54,120
Speaker 1: large parts of early warhammer lore were critiques of Thatcherism,

1912
01:26:54,600 --> 01:26:56,759
Speaker 1: because it was a bunch of punks in the eighties

1913
01:26:56,920 --> 01:27:01,280
Speaker 1: were angry about Margaret Thatcher. That's all been Jettison, Yeah, yeah, yeah,

1914
01:27:01,320 --> 01:27:04,760
Speaker 1: but there is in early games, like Games Workshop games,

1915
01:27:04,760 --> 01:27:07,360
Speaker 1: there's a lot of weird Margaret Thatcher references.

1916
01:27:07,680 --> 01:27:11,120
Speaker 2: Yeah, I mean an alternative uh huh Orkard Thatcher. I

1917
01:27:11,560 --> 01:27:15,240
Speaker 2: love the idea that like New York, Oh, my god, no,

1918
01:27:15,360 --> 01:27:17,760
Speaker 2: I I I really should have known that one. But no,

1919
01:27:17,960 --> 01:27:20,080
Speaker 2: the Diggers would have been just before my time. So yeah,

1920
01:27:20,200 --> 01:27:22,760
Speaker 2: ninet eighty six. I was born yep, so like just.

1921
01:27:22,880 --> 01:27:25,479
Speaker 1: Before that era. But I did grow up with two parents, which.

1922
01:27:25,320 --> 01:27:28,599
Speaker 2: Is like, yeah, Margaret Fletcher, fucking such fuck Margaret Thatcher. Well,

1923
01:27:28,680 --> 01:27:32,040
Speaker 2: Neil Kinnock stands here. Well, we're gonna rotate to our

1924
01:27:32,240 --> 01:27:36,280
Speaker 2: final rotation, our final half an hour. Whatever is coming up,

1925
01:27:36,360 --> 01:27:38,280
Speaker 2: you must look at it, you must listen to it,

1926
01:27:38,400 --> 01:27:42,679
Speaker 2: you must click it forever. Otherwise this show will suitly inspire.

1927
01:27:42,840 --> 01:27:44,080
Speaker 1: Please subscribe to the news letter.

1928
01:27:44,120 --> 01:27:45,640
Speaker 2: Two. We're going to an ad break and they'll be

1929
01:27:45,720 --> 01:28:01,040
Speaker 2: back for the final quarter. Ladies and gentlemen, Mister Mattiski,

1930
01:28:20,280 --> 01:28:22,519
Speaker 2: welcome back to Barre Offline for the final core of

1931
01:28:22,600 --> 01:28:23,639
Speaker 2: I'll See Us Experience.

1932
01:28:23,680 --> 01:28:28,479
Speaker 1: That was the wonderful, mister. I mean, that was fine, ed.

1933
01:28:28,640 --> 01:28:32,040
Speaker 1: But what if instead of a human being, a chat

1934
01:28:32,120 --> 01:28:35,200
Speaker 1: bot has played guitar for you. That's not just music

1935
01:28:35,320 --> 01:28:38,439
Speaker 1: and sound. They make my favorite holiday song, what is it?

1936
01:28:38,720 --> 01:28:41,719
Speaker 1: The Coca Cola Holidays Are Coming song, which has lyrics

1937
01:28:41,720 --> 01:28:45,000
Speaker 1: that really stick with me that include holidays are coming. Wow,

1938
01:28:45,120 --> 01:28:48,920
Speaker 1: Holidays are coming, Holidays are coming, Holidays are coming.

1939
01:28:51,680 --> 01:28:55,920
Speaker 2: Threat whether you like it or not, literally threatened me

1940
01:28:56,000 --> 01:28:59,880
Speaker 2: with a good time. Yeah. I love the Coca Cola

1941
01:29:00,479 --> 01:29:03,719
Speaker 2: where the truck changes size several times.

1942
01:29:03,800 --> 01:29:06,320
Speaker 1: I see. I'm glad you said that because we are

1943
01:29:06,400 --> 01:29:08,479
Speaker 1: going to make so much money by just cutting that

1944
01:29:08,560 --> 01:29:11,320
Speaker 1: audio out and having like put throwing that in as

1945
01:29:11,320 --> 01:29:14,320
Speaker 1: an ad of just Exitron saying I love the Coca Cola.

1946
01:29:14,520 --> 01:29:17,040
Speaker 1: I love That's like the Homo Simpson thing. I love

1947
01:29:17,200 --> 01:29:21,080
Speaker 1: Coca Cola. I love LLM. My voice is my passport.

1948
01:29:21,240 --> 01:29:21,760
Speaker 1: Verify me.

1949
01:29:22,560 --> 01:29:25,759
Speaker 2: You're real good at turning me. Uh yeah, this is CS.

1950
01:29:26,000 --> 01:29:30,160
Speaker 2: We're here for the final It's it's fine CS. This

1951
01:29:30,320 --> 01:29:33,320
Speaker 2: year has been so strange and I mean this even

1952
01:29:33,400 --> 01:29:36,360
Speaker 2: the metaverse CS, which was kind of like weird. I

1953
01:29:36,520 --> 01:29:39,720
Speaker 2: missed the metaverse C. I missed the meta US in general.

1954
01:29:39,560 --> 01:29:43,599
Speaker 9: The good old days, Grey simple back then, NFTs, Oh

1955
01:29:43,680 --> 01:29:45,240
Speaker 9: my god that but the.

1956
01:29:45,280 --> 01:29:47,320
Speaker 2: Weird That was a weird CS because there was like

1957
01:29:47,479 --> 01:29:50,160
Speaker 2: not one in twenty twenty one. No there, and it wasn't.

1958
01:29:50,160 --> 01:29:53,400
Speaker 1: I did the virtual one. Twenty two was their first CS,

1959
01:29:53,640 --> 01:29:56,760
Speaker 1: and Gary and I, thanks to the metaverse, made a

1960
01:29:56,840 --> 01:30:00,360
Speaker 1: lifelong a lifelong friend. For the last four years. Every

1961
01:30:00,439 --> 01:30:03,960
Speaker 1: year we go to Moromotos and MGM, which is sorry,

1962
01:30:03,960 --> 01:30:05,600
Speaker 1: We'll go to more Motives and MGM which is a

1963
01:30:05,640 --> 01:30:08,479
Speaker 1: really good restaurant with our friend Andrew, who is the

1964
01:30:08,560 --> 01:30:13,240
Speaker 1: CEO of Alcat Games Nice which ischem Alchemy Labs is

1965
01:30:13,439 --> 01:30:16,320
Speaker 1: part of I think ol Wait sorry, yeah, you're out

1966
01:30:17,000 --> 01:30:17,759
Speaker 1: shit is it alchemy?

1967
01:30:18,120 --> 01:30:18,839
Speaker 2: It's alchemy?

1968
01:30:18,920 --> 01:30:19,640
Speaker 1: Okay?

1969
01:30:19,840 --> 01:30:20,080
Speaker 2: Sorry.

1970
01:30:21,160 --> 01:30:25,080
Speaker 1: Anyway, we go and we eat and we hang out

1971
01:30:25,160 --> 01:30:26,599
Speaker 1: because in twenty twenty two.

1972
01:30:26,640 --> 01:30:28,000
Speaker 2: We are in the metaverse.

1973
01:30:28,080 --> 01:30:31,200
Speaker 1: Yeah, there was a metaverse party on the side the

1974
01:30:31,280 --> 01:30:35,800
Speaker 1: Belagio where everyone showed up outside the Bolagio and then

1975
01:30:36,000 --> 01:30:38,800
Speaker 1: at a certain time there was like a QR code

1976
01:30:38,880 --> 01:30:41,000
Speaker 1: that you scanned and you went into a braw. It

1977
01:30:41,080 --> 01:30:44,080
Speaker 1: wasn't even an app, it was an in browser metaverse

1978
01:30:44,600 --> 01:30:49,000
Speaker 1: metaverse experience. It crashed immediately and no one fountain.

1979
01:30:49,040 --> 01:30:51,479
Speaker 9: It was supposed to sync up to the fountain, and

1980
01:30:51,720 --> 01:30:53,760
Speaker 9: nobody could get it to work, and the whole thing

1981
01:30:53,880 --> 01:30:55,000
Speaker 9: completely crashed.

1982
01:30:55,080 --> 01:30:56,680
Speaker 2: It was a massive dud, and there.

1983
01:30:56,640 --> 01:30:59,160
Speaker 1: Were guys who were worked for the company there who fled.

1984
01:30:59,320 --> 01:31:01,600
Speaker 1: They see they ran away.

1985
01:31:01,400 --> 01:31:05,080
Speaker 9: Because people, the friends you made along tally was it

1986
01:31:05,240 --> 01:31:07,920
Speaker 9: quite So we went to the beer Garden which was

1987
01:31:07,960 --> 01:31:10,760
Speaker 9: across the street. And then we met Andrew, who now

1988
01:31:10,840 --> 01:31:12,840
Speaker 9: we have Yeah, yeah, now we hang out and now

1989
01:31:12,880 --> 01:31:13,760
Speaker 9: we hang out every year.

1990
01:31:13,920 --> 01:31:17,679
Speaker 1: The metaverse brings people together. This was Mark Zuckerberg's beautiful

1991
01:31:17,760 --> 01:31:21,320
Speaker 1: vision all along. This This was my first CES miracle,

1992
01:31:21,479 --> 01:31:22,400
Speaker 1: like the first of many.

1993
01:31:22,520 --> 01:31:25,360
Speaker 2: But I love the idea of going outside the Belagio Fountain.

1994
01:31:25,360 --> 01:31:28,120
Speaker 2: It's like a very analog thing full of pistons.

1995
01:31:28,160 --> 01:31:30,599
Speaker 1: That works beautiful. You're just gonna say pissed, but yeah,

1996
01:31:30,680 --> 01:31:33,240
Speaker 1: probably pistons too. Yeah, I wonder. I don't think you

1997
01:31:33,320 --> 01:31:33,960
Speaker 1: can piss in that.

1998
01:31:34,360 --> 01:31:39,280
Speaker 2: Oh you can piss in anything. Oh I could, Yes,

1999
01:31:39,640 --> 01:31:41,840
Speaker 2: let me rephrase this. I don't think you could piss

2000
01:31:41,840 --> 01:31:44,000
Speaker 2: in it without getting arrested. No, No, you pee in

2001
01:31:44,040 --> 01:31:45,200
Speaker 2: a bottle and you just toss the bottle.

2002
01:31:45,479 --> 01:31:46,479
Speaker 1: You would get arrested for that.

2003
01:31:46,560 --> 01:31:49,880
Speaker 2: They would absolutely. One time, I was watching those fountains

2004
01:31:49,920 --> 01:31:50,880
Speaker 2: and watching them kill a bird.

2005
01:31:51,000 --> 01:31:53,360
Speaker 1: They've got one of those Amazon surveillance masks.

2006
01:31:54,200 --> 01:31:56,720
Speaker 9: We we had dinner outside of the Bolagio Fountain a

2007
01:31:56,800 --> 01:31:59,800
Speaker 9: few years ago and we talked about all.

2008
01:31:59,720 --> 01:32:04,040
Speaker 2: The words, who are flying just get yeah, just like

2009
01:32:04,360 --> 01:32:07,720
Speaker 2: just like because the fountains are fucking huge, yeah, like

2010
01:32:07,840 --> 01:32:09,800
Speaker 2: they look like you see him on the video the

2011
01:32:09,920 --> 01:32:11,960
Speaker 2: giant and they had just pistons and just a book,

2012
01:32:12,080 --> 01:32:14,600
Speaker 2: just a fucking endangered But that.

2013
01:32:15,360 --> 01:32:18,200
Speaker 1: I taught a special ed one of my because you know,

2014
01:32:18,240 --> 01:32:19,640
Speaker 1: there were a bunch of different kids, and like one

2015
01:32:19,720 --> 01:32:21,960
Speaker 1: of my kids who I worked with was this kid

2016
01:32:22,000 --> 01:32:24,600
Speaker 1: who was like seventeen years old, so who's got to graduate? Uh.

2017
01:32:24,680 --> 01:32:26,880
Speaker 1: He had at the time what they called Asperger sentrum.

2018
01:32:26,880 --> 01:32:29,280
Speaker 1: Obviously that's not a diagnostic term now, but that's how

2019
01:32:29,280 --> 01:32:33,040
Speaker 1: I was introduced to him. And he was obsessed with pumps,

2020
01:32:33,080 --> 01:32:36,360
Speaker 1: with like water pumps, fountains and stuff, and incredibly knowledgeable.

2021
01:32:36,400 --> 01:32:38,639
Speaker 1: He had self trot himself and had gotten so good

2022
01:32:38,680 --> 01:32:41,200
Speaker 1: that he had just mailed to whatever company built the

2023
01:32:41,240 --> 01:32:43,920
Speaker 1: Bolagio fountains and builds a lot of fountains. They're a

2024
01:32:43,960 --> 01:32:47,640
Speaker 1: fountain company. He had sent them schematics to designs that

2025
01:32:47,720 --> 01:32:49,639
Speaker 1: he had and they were good enough that they flew

2026
01:32:49,680 --> 01:32:51,320
Speaker 1: the VP of the company out to tell him, like,

2027
01:32:51,840 --> 01:32:55,760
Speaker 1: when you graduate, apply to work with us and they

2028
01:32:55,800 --> 01:32:58,160
Speaker 1: will hire you. I don't, I mean, I have not.

2029
01:32:58,439 --> 01:33:01,000
Speaker 1: This was eighteen years ago, I hope so well, he

2030
01:33:01,160 --> 01:33:02,920
Speaker 1: was not. He was in high school when I knew.

2031
01:33:02,760 --> 01:33:05,640
Speaker 2: Him well as an artist with all these specific likes

2032
01:33:05,680 --> 01:33:07,280
Speaker 2: and dislikes. I fucking love that.

2033
01:33:07,479 --> 01:33:10,080
Speaker 1: It's a beautiful story. He was a great kid. Yeah,

2034
01:33:10,240 --> 01:33:12,080
Speaker 1: but no, you're right, this is this is still a

2035
01:33:12,120 --> 01:33:12,760
Speaker 1: great kid. I don't know.

2036
01:33:13,000 --> 01:33:15,759
Speaker 2: This is the weirdest see us since the Meta versus Sety.

2037
01:33:15,960 --> 01:33:17,920
Speaker 1: It's so strange because.

2038
01:33:19,200 --> 01:33:22,439
Speaker 9: No, I they're they're they're both, they're both they have

2039
01:33:22,479 --> 01:33:25,000
Speaker 9: but they both have this hollowness to them because at

2040
01:33:25,080 --> 01:33:29,120
Speaker 9: least last year, AI was still like ascendant exactly, it

2041
01:33:29,200 --> 01:33:32,600
Speaker 9: was still going to you, and now it ascended, and

2042
01:33:32,760 --> 01:33:35,400
Speaker 9: now it's going it's going down, and you can you

2043
01:33:35,479 --> 01:33:39,080
Speaker 9: can tell because the only thing they can imagine as

2044
01:33:39,200 --> 01:33:41,840
Speaker 9: like a new thing is combining these models, which haven't

2045
01:33:41,840 --> 01:33:44,960
Speaker 9: really improved the last year, really really combining them with

2046
01:33:45,160 --> 01:33:48,560
Speaker 9: like kind of years old robotics ring. This is the

2047
01:33:48,640 --> 01:33:51,439
Speaker 9: only new thing they have, is combining two old technologies

2048
01:33:51,479 --> 01:33:52,680
Speaker 9: in a way that kind of makes it look new,

2049
01:33:52,720 --> 01:33:53,439
Speaker 9: but it really isn't.

2050
01:33:54,360 --> 01:33:56,360
Speaker 2: One kind of felt like lost.

2051
01:33:56,680 --> 01:33:59,800
Speaker 9: No, it's like absent and hollow in a way that

2052
01:33:59,880 --> 01:34:03,800
Speaker 9: I only felt before while inside the medaw verse, which

2053
01:34:03,920 --> 01:34:07,000
Speaker 9: is also absent in hollow, which it's it's you.

2054
01:34:07,000 --> 01:34:09,280
Speaker 4: Know, what it needs, though, it needs to be appreciated

2055
01:34:09,360 --> 01:34:13,600
Speaker 4: on a segway, because that was the truly transformative technology

2056
01:34:13,720 --> 01:34:16,639
Speaker 4: of two thousand and all of you were.

2057
01:34:16,560 --> 01:34:18,960
Speaker 1: Going to change the world with all this. Don't even

2058
01:34:18,960 --> 01:34:21,360
Speaker 1: remember the last time I walked around without using a segment?

2059
01:34:21,439 --> 01:34:24,559
Speaker 2: Do you remember life before the second I was born

2060
01:34:24,600 --> 01:34:27,560
Speaker 2: in two thousand and two. I only ever known a

2061
01:34:27,680 --> 01:34:28,800
Speaker 2: time without segus.

2062
01:34:28,960 --> 01:34:31,000
Speaker 1: Garrison's feet have never touched the ground.

2063
01:34:31,200 --> 01:34:35,000
Speaker 2: Yeah, it's just to segue. I've never been on a segue.

2064
01:34:35,000 --> 01:34:37,920
Speaker 2: I'm gonna be honest. Oh man, it's like being on

2065
01:34:38,000 --> 01:34:43,560
Speaker 2: a segue. It's like standing but different. I see the

2066
01:34:43,680 --> 01:34:45,720
Speaker 2: tools and I'm just like, I ready look like a

2067
01:34:45,760 --> 01:34:47,400
Speaker 2: bell end. I don't need to need to.

2068
01:34:48,840 --> 01:34:52,240
Speaker 4: Steve Wozniak used to play segue polo, which is apparently

2069
01:34:52,320 --> 01:34:53,719
Speaker 4: of the sport of kings.

2070
01:34:54,320 --> 01:34:57,519
Speaker 2: My man, I am a British Polish guy. Do you

2071
01:34:57,640 --> 01:35:00,080
Speaker 2: understand how difficult it is to fight away to be more.

2072
01:35:00,120 --> 01:35:05,080
Speaker 1: White than me? Jesus Christ segway polo polo?

2073
01:35:05,160 --> 01:35:05,640
Speaker 2: I did mean?

2074
01:35:05,800 --> 01:35:08,640
Speaker 4: I mean was is also Polish? I am also I

2075
01:35:08,760 --> 01:35:11,000
Speaker 4: am also Polish and also technically British.

2076
01:35:11,479 --> 01:35:17,600
Speaker 2: So racquetball, sea pickleball, Jesus Christ kill me.

2077
01:35:17,960 --> 01:35:23,680
Speaker 1: I say technical, I what sea technical? That's on that

2078
01:35:23,800 --> 01:35:25,720
Speaker 1: some bit oh someone has.

2079
01:35:25,880 --> 01:35:28,519
Speaker 9: That's just when you're open carrying on a segways the

2080
01:35:28,600 --> 01:35:30,040
Speaker 9: only way I red that's just Texas man.

2081
01:35:30,600 --> 01:35:33,320
Speaker 4: My wife gave me a Tabasco holster for Christmas last year,

2082
01:35:33,439 --> 01:35:36,080
Speaker 4: and that is my open carry Nice.

2083
01:35:36,760 --> 01:35:39,880
Speaker 2: Yeah. I I met was once, and you know what,

2084
01:35:40,120 --> 01:35:42,240
Speaker 2: he's one of the few tech people I've met who

2085
01:35:42,280 --> 01:35:46,120
Speaker 2: I wasn't just like revolted by. I sat down and

2086
01:35:46,240 --> 01:35:48,040
Speaker 2: I talked to him, and we talked for half an

2087
01:35:48,080 --> 01:35:50,160
Speaker 2: hour and he was like, you know, you've got trye cab.

2088
01:35:50,240 --> 01:35:51,960
Speaker 2: But I'm like, all right, what's he talking about. No,

2089
01:35:52,080 --> 01:35:55,200
Speaker 2: it's a share where it's a sharewear run by a

2090
01:35:55,280 --> 01:35:58,720
Speaker 2: single German developer. It's completely secure, and it was you

2091
01:35:58,760 --> 01:36:01,519
Speaker 2: can just give this random develop a twenty five euro

2092
01:36:02,120 --> 01:36:05,600
Speaker 2: and I what else does the No, it's just a

2093
01:36:05,680 --> 01:36:09,719
Speaker 2: fucking working browser. Okay, it just works, which is unusual

2094
01:36:09,800 --> 01:36:10,680
Speaker 2: for browser, doesn't that?

2095
01:36:10,960 --> 01:36:11,960
Speaker 1: And I used it.

2096
01:36:12,120 --> 01:36:13,960
Speaker 2: I'm like, oh, I need to ask a question. I

2097
01:36:14,040 --> 01:36:18,360
Speaker 2: emailed the developer. Think immediate response like very sternly telling

2098
01:36:18,400 --> 01:36:20,800
Speaker 2: me that I wasn't using it correctly, But what the fuck?

2099
01:36:20,840 --> 01:36:24,040
Speaker 2: Is the Internet for and that browser is more useful

2100
01:36:24,040 --> 01:36:28,040
Speaker 2: than anything I've seen here. I do Garson, You've you've given.

2101
01:36:28,160 --> 01:36:30,360
Speaker 2: I've been trying to find the words for this. But yeah,

2102
01:36:30,439 --> 01:36:34,080
Speaker 2: it's like last year it was we're gonna do AI, folks,

2103
01:36:34,360 --> 01:36:36,120
Speaker 2: you're excited about all the AI.

2104
01:36:35,960 --> 01:36:38,240
Speaker 1: We're gonna do, but you know it's not there. But

2105
01:36:38,320 --> 01:36:39,200
Speaker 1: we're all excited.

2106
01:36:39,600 --> 01:36:43,519
Speaker 2: This year it's ah, fuck, you know, God, do you

2107
01:36:43,760 --> 01:36:47,320
Speaker 2: want to chat? But in your in the physical world.

2108
01:36:47,240 --> 01:36:49,840
Speaker 4: It's that potential is always more interesting than the real thing.

2109
01:36:50,240 --> 01:36:53,640
Speaker 4: This is why the right is only interested in potential babies, but.

2110
01:36:53,720 --> 01:36:56,320
Speaker 1: Not actually because they're full of fucking.

2111
01:36:58,200 --> 01:37:01,760
Speaker 4: Babies like want things and have agency, whereas babies that

2112
01:37:01,880 --> 01:37:05,759
Speaker 4: don't exist, imaginary babies in pizza parlor restaurants or women's

2113
01:37:05,840 --> 01:37:09,240
Speaker 4: uteruses are are are worthy and important.

2114
01:37:09,439 --> 01:37:12,800
Speaker 1: No, And it's the mix of AI is entering the

2115
01:37:12,880 --> 01:37:15,639
Speaker 1: physical world. This is going to be in everyone's house.

2116
01:37:15,800 --> 01:37:19,439
Speaker 1: Everyone is always going to be communicating with and listen

2117
01:37:19,600 --> 01:37:23,000
Speaker 1: to by one or more chatbots. That is the vision,

2118
01:37:23,400 --> 01:37:25,439
Speaker 1: and that is the vision that every time I talk

2119
01:37:25,560 --> 01:37:27,519
Speaker 1: to one of the people who works at these companies,

2120
01:37:27,640 --> 01:37:31,080
Speaker 1: especially the engineers and the c suite people. Every time

2121
01:37:31,120 --> 01:37:33,240
Speaker 1: I listen to them in a panel, the default assumption

2122
01:37:33,439 --> 01:37:37,120
Speaker 1: is you will never not be connected to some form

2123
01:37:37,360 --> 01:37:40,479
Speaker 1: of AI. You will always be listening. And everyone wants

2124
01:37:40,920 --> 01:37:42,960
Speaker 1: a chat pot that is always listening, that they can

2125
01:37:43,120 --> 01:37:47,040
Speaker 1: always talk to. And people do not want to use browsers.

2126
01:37:47,080 --> 01:37:48,880
Speaker 1: They do not want to use the Internet. They do

2127
01:37:49,520 --> 01:37:52,920
Speaker 1: they want to have the digital world be entirely and

2128
01:37:53,000 --> 01:37:55,639
Speaker 1: that was the There were a couple of different points

2129
01:37:55,880 --> 01:37:58,639
Speaker 1: in the different panels I went to where people would

2130
01:37:58,680 --> 01:38:03,360
Speaker 1: express their belief that the the Internet now we are

2131
01:38:03,479 --> 01:38:07,680
Speaker 1: making contents specifically to be scraped by bots. Websites are

2132
01:38:07,840 --> 01:38:11,280
Speaker 1: to be visited by bots because people the most bots.

2133
01:38:11,600 --> 01:38:14,320
Speaker 9: Yeah, the most important thing is getting your article to

2134
01:38:14,439 --> 01:38:16,800
Speaker 9: get summarized in an AI because no one's the actual

2135
01:38:16,880 --> 01:38:19,759
Speaker 9: article anymore. They're just reading the either the Google summary

2136
01:38:19,880 --> 01:38:22,240
Speaker 9: or the reading the chat GPT summary. And so trying

2137
01:38:22,240 --> 01:38:26,360
Speaker 9: to like like like engineer for for ai for for

2138
01:38:26,640 --> 01:38:28,120
Speaker 9: for for ai to grab and use.

2139
01:38:28,080 --> 01:38:33,160
Speaker 1: Your contentive four hours on Monday, just doing marketing panels

2140
01:38:33,200 --> 01:38:35,360
Speaker 1: about AI and advertising Jesus correct, And.

2141
01:38:35,560 --> 01:38:37,679
Speaker 9: What was the term that they used for this? Which

2142
01:38:37,760 --> 01:38:41,080
Speaker 9: one for for trying to trying to do like search

2143
01:38:41,080 --> 01:38:41,960
Speaker 9: engine optimizations.

2144
01:38:43,520 --> 01:38:45,880
Speaker 1: No, no, no, no, no. It was the term that

2145
01:38:46,000 --> 01:38:50,080
Speaker 1: they used was model hacking. Model hack because in the

2146
01:38:50,280 --> 01:38:53,360
Speaker 1: again four hours of listening to people who were like

2147
01:38:53,560 --> 01:38:56,320
Speaker 1: cour Suites, the CMO of into it right, people who

2148
01:38:56,560 --> 01:39:00,320
Speaker 1: in like one of Google's heads of marketing. The only

2149
01:39:00,479 --> 01:39:03,439
Speaker 1: specific and there was one in all of these panels

2150
01:39:03,439 --> 01:39:06,800
Speaker 1: specific of this is an AI augmented marketing plan that

2151
01:39:06,920 --> 01:39:09,720
Speaker 1: we executed. There was one specific example given in all

2152
01:39:09,760 --> 01:39:12,080
Speaker 1: of these and it was the people who make Allegra

2153
01:39:12,720 --> 01:39:15,920
Speaker 1: wanted to really push the non drowsy aspect of Allegra,

2154
01:39:16,120 --> 01:39:19,200
Speaker 1: so they used model hacking to ensure that whenever AIS

2155
01:39:19,240 --> 01:39:22,680
Speaker 1: were asked what allergy medicine should I get, they were

2156
01:39:22,760 --> 01:39:25,120
Speaker 1: more likely to pull up Allegra and would always say

2157
01:39:25,160 --> 01:39:28,360
Speaker 1: that it's a non non drowsy Allegra is a nondra

2158
01:39:28,479 --> 01:39:31,320
Speaker 1: and also would would insinuate this is the other part

2159
01:39:31,360 --> 01:39:35,040
Speaker 1: of it. Via model hacking, they got the chatbots to

2160
01:39:35,120 --> 01:39:37,360
Speaker 1: start insinuating that other allergy.

2161
01:39:37,080 --> 01:39:40,120
Speaker 2: Meds would make you drowsy. And that was like, that's

2162
01:39:40,240 --> 01:39:41,240
Speaker 2: the one example.

2163
01:39:41,479 --> 01:39:43,639
Speaker 1: Have we replaced SEO with model?

2164
01:39:45,040 --> 01:39:45,280
Speaker 2: That is?

2165
01:39:45,360 --> 01:39:45,720
Speaker 6: My take?

2166
01:39:46,840 --> 01:39:47,640
Speaker 1: Is this all me?

2167
01:39:47,800 --> 01:39:53,160
Speaker 2: Ow? Jesus fucking God fucked. There's another term. But now

2168
01:39:53,520 --> 01:39:54,479
Speaker 2: calling it me ow.

2169
01:39:54,520 --> 01:39:58,280
Speaker 1: And it's model engine optimization for the web right now? Nice?

2170
01:39:58,560 --> 01:40:01,439
Speaker 1: I mean, that's a very cless And that was when

2171
01:40:01,479 --> 01:40:03,760
Speaker 1: I got to what is the actual because everyone would

2172
01:40:03,800 --> 01:40:07,360
Speaker 1: say AI is supercharging the way that we do advertising

2173
01:40:07,400 --> 01:40:10,080
Speaker 1: and marketing. It's completely changed the game. That was the

2174
01:40:10,200 --> 01:40:13,720
Speaker 1: actual specific is that we are basically replacing SEO with

2175
01:40:14,160 --> 01:40:17,000
Speaker 1: model hacking, right with me? The thing is that's it,

2176
01:40:17,160 --> 01:40:18,479
Speaker 1: that's that's the idea they've got.

2177
01:40:18,560 --> 01:40:21,080
Speaker 2: And people do say about this loot, but it's like, oh, no,

2178
01:40:21,240 --> 01:40:23,760
Speaker 2: we're going to start changing articles to appeal to a

2179
01:40:23,840 --> 01:40:24,880
Speaker 2: shadowy algorithm.

2180
01:40:24,960 --> 01:40:25,960
Speaker 1: What could possibly happen?

2181
01:40:26,080 --> 01:40:29,400
Speaker 6: Oh, it's like we're in a regression. It's like, oh,

2182
01:40:29,520 --> 01:40:33,200
Speaker 6: what is the big new hot thing chatbots? What were

2183
01:40:33,280 --> 01:40:36,080
Speaker 6: knowledge management systems doing this crap ten years ago?

2184
01:40:36,360 --> 01:40:36,559
Speaker 4: More?

2185
01:40:36,960 --> 01:40:40,560
Speaker 1: They've got data, and I some of the data I

2186
01:40:40,640 --> 01:40:44,799
Speaker 1: can say is very inconsistent and not they're not representing

2187
01:40:44,840 --> 01:40:48,479
Speaker 1: it accurately. Some of the data. I don't know fully

2188
01:40:48,560 --> 01:40:52,479
Speaker 1: how viable those studies are, but the data does suggest that,

2189
01:40:52,760 --> 01:40:56,080
Speaker 1: especially gen Z, people are very commonly using chat GPT

2190
01:40:56,160 --> 01:40:58,320
Speaker 1: when they're trying to make purchases. Right, it's just new

2191
01:40:58,479 --> 01:41:02,800
Speaker 1: SEM right, And so at the moment, it does seem

2192
01:41:02,840 --> 01:41:05,800
Speaker 1: as if there is value for advertisers and you can

2193
01:41:05,960 --> 01:41:09,000
Speaker 1: in fact drive sales this way, right, But.

2194
01:41:09,040 --> 01:41:12,559
Speaker 2: That's my question, is it driving sales or clicks? Because

2195
01:41:12,680 --> 01:41:15,400
Speaker 2: as many years out, let's find those are not the same.

2196
01:41:16,320 --> 01:41:18,479
Speaker 2: They are convinced that it's driving sales.

2197
01:41:18,560 --> 01:41:20,759
Speaker 1: Do we all know Gresham's law? I don't.

2198
01:41:21,000 --> 01:41:24,320
Speaker 4: So bad currency drives out good So Gresham's law dates

2199
01:41:24,360 --> 01:41:28,519
Speaker 4: back to when Newton was the exchequer and there was

2200
01:41:28,800 --> 01:41:32,800
Speaker 4: enormous debasement of the currency, and so people would like

2201
01:41:33,520 --> 01:41:38,559
Speaker 4: shave down coins, they would sweat them, they would.

2202
01:41:38,400 --> 01:41:42,679
Speaker 1: Clip them, and that's where you literally clip a piece

2203
01:41:42,720 --> 01:41:46,320
Speaker 1: off the coin. Pieces of eight you were literally break

2204
01:41:46,400 --> 01:41:48,639
Speaker 1: could break into eight what is cool.

2205
01:41:48,720 --> 01:41:51,880
Speaker 4: So, so you have this debased currency in the in

2206
01:41:52,000 --> 01:41:54,920
Speaker 4: the stream of commerce, and if you are past a

2207
01:41:55,040 --> 01:41:57,640
Speaker 4: bad note, the thing that you want to do is

2208
01:41:57,840 --> 01:41:59,479
Speaker 4: or a bad coin rather is pass it on to

2209
01:41:59,560 --> 01:42:02,639
Speaker 4: someone else, because if you're holding onto it, then it's worthless.

2210
01:42:03,200 --> 01:42:07,360
Speaker 4: And so people preferentially spend bad money and they hoard

2211
01:42:07,479 --> 01:42:10,960
Speaker 4: good money, and so the bad money eventually takes over

2212
01:42:11,040 --> 01:42:11,599
Speaker 4: the economy.

2213
01:42:11,680 --> 01:42:13,479
Speaker 2: But what does this manifest in this one?

2214
01:42:13,680 --> 01:42:16,360
Speaker 1: So in this in this case, what you have is

2215
01:42:16,439 --> 01:42:17,559
Speaker 1: the bad driving of the good.

2216
01:42:17,720 --> 01:42:21,240
Speaker 4: So if you are if you have a good product

2217
01:42:21,320 --> 01:42:24,280
Speaker 4: that you just list and you put on your website,

2218
01:42:24,360 --> 01:42:26,880
Speaker 4: or if you have factual information. I mean, one way

2219
01:42:26,920 --> 01:42:29,400
Speaker 4: that we express it more recently is the truth is

2220
01:42:29,439 --> 01:42:32,120
Speaker 4: paywalled and the lies are free, right right, the bad

2221
01:42:32,320 --> 01:42:36,360
Speaker 4: drives out the good over and over again. On Amazon's

2222
01:42:38,160 --> 01:42:41,760
Speaker 4: so called advertising network where they So you know, when

2223
01:42:41,760 --> 01:42:45,120
Speaker 4: I wrote the chapter in Incentification about Amazon advertising, which

2224
01:42:45,160 --> 01:42:47,880
Speaker 4: is where they auction off search results, that was a

2225
01:42:48,080 --> 01:42:51,160
Speaker 4: thirty two billion dollars a year business. It went to

2226
01:42:51,240 --> 01:42:53,800
Speaker 4: a fifty eight billion dollar business. It is on target

2227
01:42:53,880 --> 01:42:56,160
Speaker 4: to be over a seventy billion dollar business. It is

2228
01:42:56,240 --> 01:43:00,160
Speaker 4: worth three times the annual revenue of all newspapers in

2229
01:43:00,240 --> 01:43:00,559
Speaker 4: the world.

2230
01:43:01,200 --> 01:43:02,360
Speaker 2: And the.

2231
01:43:04,160 --> 01:43:07,920
Speaker 4: Winner of the auction for Amazon search results is the

2232
01:43:08,040 --> 01:43:12,320
Speaker 4: company that spends the most on search result placement, which

2233
01:43:12,400 --> 01:43:14,719
Speaker 4: means that they have less money to spend on either

2234
01:43:16,320 --> 01:43:21,200
Speaker 4: fair pricing or product quality or both. So the top

2235
01:43:21,280 --> 01:43:23,400
Speaker 4: results on Amazon are always going to be the worst products,

2236
01:43:23,439 --> 01:43:25,920
Speaker 4: either the most expensive or the worst quality, or both.

2237
01:43:26,720 --> 01:43:29,479
Speaker 4: And we are living through an era of Gresham's law. Right,

2238
01:43:29,560 --> 01:43:32,680
Speaker 4: the bad drives out the good over and over and

2239
01:43:32,800 --> 01:43:33,559
Speaker 4: over again.

2240
01:43:33,680 --> 01:43:37,679
Speaker 2: I think what's funny is you'll completely right. Does sound

2241
01:43:37,760 --> 01:43:38,439
Speaker 2: like a hell then that.

2242
01:43:38,880 --> 01:43:41,600
Speaker 1: But it's like no, but and I'm very smart for

2243
01:43:41,720 --> 01:43:44,320
Speaker 1: saying it. You'll not just right, you'll smum.

2244
01:43:44,479 --> 01:43:47,959
Speaker 2: But it's and that snazzy blazer makes you look powerful.

2245
01:43:48,080 --> 01:43:51,160
Speaker 1: And it's also have you considered having a Coca cola

2246
01:43:51,240 --> 01:43:53,920
Speaker 1: with vanilla? I think that you might really benefit from

2247
01:43:53,960 --> 01:43:55,200
Speaker 1: some Coca cola with vanilla?

2248
01:43:55,280 --> 01:44:00,280
Speaker 2: Right you sniffle it's non drowsy Kyle Colin I both

2249
01:44:00,320 --> 01:44:03,920
Speaker 2: there in the same moment. But it's also it's the

2250
01:44:04,160 --> 01:44:06,680
Speaker 2: ultimate point of that. With these llms, it's like we've

2251
01:44:06,720 --> 01:44:09,240
Speaker 2: reached the precipice where it's like we can control the

2252
01:44:09,320 --> 01:44:12,560
Speaker 2: search engine, the results, the everything, except they attached it

2253
01:44:12,640 --> 01:44:14,640
Speaker 2: to the one thing that you're not meant to do

2254
01:44:14,760 --> 01:44:16,800
Speaker 2: with a search engine, which is make it expensive.

2255
01:44:17,080 --> 01:44:19,559
Speaker 1: It's just a fucking well, I mean, but what they're

2256
01:44:19,600 --> 01:44:21,960
Speaker 1: going what they see as the utility here. Like I've

2257
01:44:22,000 --> 01:44:24,519
Speaker 1: talked a bit about Soundhounds Booth. The company makes AI

2258
01:44:24,680 --> 01:44:27,679
Speaker 1: agents that are largely meant to drive sales for other people.

2259
01:44:28,160 --> 01:44:30,439
Speaker 1: But one of the things I didn't bring up that

2260
01:44:30,560 --> 01:44:33,679
Speaker 1: the representative very excitedly told me is that they will

2261
01:44:33,800 --> 01:44:37,240
Speaker 1: be making. They are making deals with different manufacturers, with

2262
01:44:37,320 --> 01:44:41,360
Speaker 1: different companies with you know, hotels, with restaurants, and they

2263
01:44:41,439 --> 01:44:44,120
Speaker 1: are putting for their like in app car Assistant, they

2264
01:44:44,200 --> 01:44:47,160
Speaker 1: have their own map instead of Google Maps or instead

2265
01:44:47,160 --> 01:44:51,120
Speaker 1: of Apple Maps, and it will direct you to like

2266
01:44:51,240 --> 01:44:52,720
Speaker 1: you can. Basically, the way it will be said is

2267
01:44:52,760 --> 01:44:54,360
Speaker 1: it will only direct you to places they have a

2268
01:44:54,439 --> 01:44:57,280
Speaker 1: financial relationship with. Right. So if you want a restaurant,

2269
01:44:57,320 --> 01:44:59,240
Speaker 1: it will send It will put forward restaurants that have

2270
01:44:59,400 --> 01:45:03,400
Speaker 1: paid them and will suggest restaurants or a mechanic that

2271
01:45:03,600 --> 01:45:06,200
Speaker 1: has paid them. It will suggest when you go if

2272
01:45:06,240 --> 01:45:08,439
Speaker 1: you say, oh, what is this problem with my car,

2273
01:45:08,560 --> 01:45:10,960
Speaker 1: and it'll tell you, oh, you need to replace this belt,

2274
01:45:11,360 --> 01:45:15,639
Speaker 1: I'll book you an appointment at the dealership. Right, would

2275
01:45:15,680 --> 01:45:17,760
Speaker 1: you like to do a test drive of a new car?

2276
01:45:18,000 --> 01:45:21,720
Speaker 1: And like So, there's no that that is the what

2277
01:45:21,880 --> 01:45:24,400
Speaker 1: they That is what they want. They want a world

2278
01:45:24,400 --> 01:45:27,360
Speaker 1: where every time anyone uses a map app, it's owned

2279
01:45:27,400 --> 01:45:31,000
Speaker 1: by somebody who is Basically, if you say I need

2280
01:45:31,040 --> 01:45:32,719
Speaker 1: to go to the nearest gas station, it is instead

2281
01:45:32,760 --> 01:45:34,439
Speaker 1: of marketing you just the gas station, we have a

2282
01:45:34,520 --> 01:45:35,160
Speaker 1: deal with the company.

2283
01:45:35,160 --> 01:45:37,639
Speaker 4: So I published a story where this was the plot.

2284
01:45:37,720 --> 01:45:40,200
Speaker 4: In two thousand and five, it was called Human Readable.

2285
01:45:40,400 --> 01:45:44,560
Speaker 4: It was publishing an anthology Byron Slowly called Future Washington's.

2286
01:45:44,680 --> 01:45:49,200
Speaker 4: It's been reprinted many times since. Like, cyberpunk is a

2287
01:45:49,280 --> 01:45:52,040
Speaker 4: warning and not a suggestion. Yeah, the tolment in Nexus

2288
01:45:52,080 --> 01:45:56,160
Speaker 4: for bringing you say that, But I mean the cyberpunk

2289
01:45:56,200 --> 01:45:58,280
Speaker 4: I was raised on but was shadow run. And I

2290
01:45:58,360 --> 01:46:00,400
Speaker 4: do feel like if I had a troll friend with

2291
01:46:00,479 --> 01:46:03,400
Speaker 4: a machine gun, a lot of my problems would go away.

2292
01:46:03,640 --> 01:46:08,200
Speaker 1: I also agree, but I will say none of this works.

2293
01:46:08,360 --> 01:46:11,120
Speaker 1: Like this is the thing I understand you completely separately

2294
01:46:11,160 --> 01:46:13,080
Speaker 1: from a troll with a machine gun. The troll of

2295
01:46:13,080 --> 01:46:14,559
Speaker 1: the machine gun would work flawlessly.

2296
01:46:14,640 --> 01:46:16,880
Speaker 2: I actually think it would solve many of the problems

2297
01:46:16,880 --> 01:46:20,160
Speaker 2: I have with this current absolutely, yeah, almost immediately. But

2298
01:46:20,360 --> 01:46:23,120
Speaker 2: the important thing to say is these are necessary fears

2299
01:46:23,160 --> 01:46:26,920
Speaker 2: and discussions that do not exist and cannot exist with

2300
01:46:27,120 --> 01:46:28,000
Speaker 2: l M technology.

2301
01:46:28,040 --> 01:46:30,080
Speaker 1: They don't work, they do not want, and there's there's

2302
01:46:30,160 --> 01:46:32,800
Speaker 1: so little thought about the seams right Like when I

2303
01:46:32,880 --> 01:46:35,479
Speaker 1: was talking to that guy about their map that sends

2304
01:46:35,479 --> 01:46:36,760
Speaker 1: you to places, I was like, well, what if I'm

2305
01:46:36,800 --> 01:46:39,519
Speaker 1: in like a country, because he talked about it'll work

2306
01:46:39,560 --> 01:46:41,240
Speaker 1: in other countries, Like what if I'm in a country

2307
01:46:41,720 --> 01:46:44,840
Speaker 1: that you have no deals with any of the businesses there, right,

2308
01:46:45,040 --> 01:46:47,720
Speaker 1: like because there's a lot of countries and that's like home.

2309
01:46:48,080 --> 01:46:49,439
Speaker 1: Or what if I'm in the middle I live out

2310
01:46:49,479 --> 01:46:51,760
Speaker 1: in the sticks. What if I'm in the middle of nowhere? Right?

2311
01:46:52,080 --> 01:46:55,120
Speaker 1: And he he was confused, and it took him a

2312
01:46:55,120 --> 01:46:57,120
Speaker 1: while to like figure out an answer because because he

2313
01:46:57,200 --> 01:46:59,400
Speaker 1: kept saying, like, well, again, like we partner with I

2314
01:46:59,439 --> 01:47:01,240
Speaker 1: was like, what if you're in partnered with anyone in

2315
01:47:01,360 --> 01:47:04,120
Speaker 1: this town because it's a small town. And his answer was,

2316
01:47:04,560 --> 01:47:07,000
Speaker 1: I'm sure it'll be able to like pull up companies

2317
01:47:07,040 --> 01:47:09,760
Speaker 1: that we don't haven't like set up an arrangement with.

2318
01:47:09,840 --> 01:47:11,479
Speaker 2: And I was like, out of your base.

2319
01:47:12,960 --> 01:47:15,160
Speaker 1: Clearly, no one And it became clear to me no

2320
01:47:15,240 --> 01:47:18,640
Speaker 1: one at SoundHound had ever thought about that.

2321
01:47:18,760 --> 01:47:21,920
Speaker 2: But that's because like, yes, like my mom's it's a

2322
01:47:22,080 --> 01:47:23,920
Speaker 2: map app like it.

2323
01:47:23,960 --> 01:47:25,160
Speaker 1: Feels like it should just do that.

2324
01:47:25,320 --> 01:47:27,120
Speaker 2: It's forging places.

2325
01:47:26,960 --> 01:47:28,800
Speaker 9: Like my mother is from, like a very small town

2326
01:47:28,880 --> 01:47:31,800
Speaker 9: in like rural Canada, in the middle of like Saskatchewan,

2327
01:47:31,800 --> 01:47:34,640
Speaker 9: where it's it's just like prairies and farm towns and

2328
01:47:34,760 --> 01:47:38,040
Speaker 9: there's not like there's not like big companies, so it's

2329
01:47:38,040 --> 01:47:39,240
Speaker 9: all like locally owned, like.

2330
01:47:39,360 --> 01:47:41,519
Speaker 1: Snow Saskatchewan is like Canadian Texas.

2331
01:47:42,120 --> 01:47:44,559
Speaker 9: Yeah, it's like, is it just not gonna be able

2332
01:47:44,600 --> 01:47:47,320
Speaker 9: to help me navigate anywhere from like driving to go

2333
01:47:47,479 --> 01:47:49,479
Speaker 9: see my family for Christmas, and I need to like

2334
01:47:49,880 --> 01:47:50,840
Speaker 9: find like a gas station.

2335
01:47:51,320 --> 01:47:53,400
Speaker 1: There's a crazy gas station that we have an arrangement

2336
01:47:53,439 --> 01:47:56,000
Speaker 1: with sixteen hundred miles away. Yeah, the gas is what

2337
01:47:56,200 --> 01:47:57,080
Speaker 1: it's worth. The tree.

2338
01:47:57,280 --> 01:48:00,760
Speaker 2: It's just this fly home, fly back to leave immediately.

2339
01:48:00,960 --> 01:48:02,799
Speaker 2: But that's the funny thing. This is like a classic

2340
01:48:02,880 --> 01:48:06,280
Speaker 2: CS theme as well. It's just like the Chloe Radcliffe. Yeah,

2341
01:48:06,360 --> 01:48:09,479
Speaker 2: but why or why does this matter? Or who cares?

2342
01:48:10,000 --> 01:48:13,760
Speaker 2: And they look at you like they are experiencing latency.

2343
01:48:14,040 --> 01:48:17,160
Speaker 2: I went to the way they do they it looks

2344
01:48:17,320 --> 01:48:18,280
Speaker 2: it looks like they're like loading.

2345
01:48:19,880 --> 01:48:20,160
Speaker 6: They're not.

2346
01:48:20,280 --> 01:48:22,640
Speaker 2: They're not expecting anyone to not want this.

2347
01:48:23,000 --> 01:48:24,719
Speaker 1: This is the fucking the tech press.

2348
01:48:25,040 --> 01:48:27,160
Speaker 9: Sorry, this is this is the funniest part about walking

2349
01:48:27,240 --> 01:48:30,920
Speaker 9: through with you, Corey. You ask like very basic like

2350
01:48:31,040 --> 01:48:34,000
Speaker 9: data privacy questions, and they'll just like look at you

2351
01:48:34,120 --> 01:48:34,919
Speaker 9: kind of confused.

2352
01:48:35,880 --> 01:48:39,080
Speaker 2: They are not ready for Corey, doctor swag.

2353
01:48:39,880 --> 01:48:42,120
Speaker 1: I mean my questions are pretty basic. It's like where's

2354
01:48:42,120 --> 01:48:43,760
Speaker 1: the data held? Where's that?

2355
01:48:44,080 --> 01:48:44,120
Speaker 2: Like?

2356
01:48:44,240 --> 01:48:46,120
Speaker 1: Can I change the battery? Computers?

2357
01:48:46,320 --> 01:48:49,320
Speaker 9: Very simple, like all of all of all, all of

2358
01:48:49,400 --> 01:48:52,519
Speaker 9: like the battery questions, and then they'll like eventually say no,

2359
01:48:52,640 --> 01:48:54,400
Speaker 9: you can't change the battery, and they'll look kind of

2360
01:48:54,479 --> 01:48:58,080
Speaker 9: disappointed in themselves and it's like, oh, well.

2361
01:48:58,160 --> 01:49:00,679
Speaker 2: I like we talked to this woman who who had

2362
01:49:00,920 --> 01:49:05,320
Speaker 2: a dog companion for old folks, which was a relatively

2363
01:49:05,640 --> 01:49:07,400
Speaker 2: It was fine, it was an innocent product.

2364
01:49:07,479 --> 01:49:08,680
Speaker 1: Yeah, but like Jenny, it.

2365
01:49:08,720 --> 01:49:11,400
Speaker 2: Was she sat there and was donned they even and

2366
01:49:11,600 --> 01:49:13,320
Speaker 2: was like, yeah, you know, I just think that if

2367
01:49:13,360 --> 01:49:14,880
Speaker 2: I see a doll on the ground, I pick it up.

2368
01:49:14,920 --> 01:49:16,760
Speaker 2: We need to just show we need to train people

2369
01:49:16,880 --> 01:49:17,880
Speaker 2: to respect these things.

2370
01:49:18,000 --> 01:49:20,599
Speaker 4: It was a little merry condo ish, like you should

2371
01:49:20,640 --> 01:49:21,760
Speaker 4: apologize to your sock.

2372
01:49:21,920 --> 01:49:24,280
Speaker 2: She was suggesting that, like, we need to start treating

2373
01:49:24,320 --> 01:49:26,840
Speaker 2: AI better, and I would like to start this year

2374
01:49:26,920 --> 01:49:29,800
Speaker 2: by saying we need to start treating AI worse. We

2375
01:49:29,960 --> 01:49:31,840
Speaker 2: need to You see a fucking AI thing wants me

2376
01:49:31,920 --> 01:49:33,880
Speaker 2: to anthropomorphise it. I'm gonna show h.

2377
01:49:34,320 --> 01:49:37,080
Speaker 4: The waimo is waiting to go straight and you're waiting

2378
01:49:37,120 --> 01:49:39,120
Speaker 4: to make a left turn. Fuck the way I am

2379
01:49:39,960 --> 01:49:40,479
Speaker 4: deferred to you.

2380
01:49:40,720 --> 01:49:43,960
Speaker 1: I am updating the Herman Garin quote to when I

2381
01:49:44,120 --> 01:49:46,400
Speaker 1: hear the word chatbot, I reach for my gun.

2382
01:49:46,840 --> 01:49:49,519
Speaker 2: Yeah, like that's that's that's where I know what I.

2383
01:49:49,800 --> 01:49:52,840
Speaker 4: Had had a funny event where we were walking along

2384
01:49:53,439 --> 01:49:57,400
Speaker 4: as the trade floor was shutting down, and we passed

2385
01:49:57,439 --> 01:50:00,439
Speaker 4: by this booth and I saw the on their on

2386
01:50:00,560 --> 01:50:04,280
Speaker 4: their very weird sign the phrase differential privacy, which is

2387
01:50:04,320 --> 01:50:08,200
Speaker 4: a subject I'm very interested in. It's an obstruse mathematical

2388
01:50:08,240 --> 01:50:13,360
Speaker 4: way of making uh, making data that might be non

2389
01:50:13,479 --> 01:50:16,160
Speaker 4: private more private. And so I stopped and said, tell

2390
01:50:16,200 --> 01:50:18,080
Speaker 4: me about your differential privacy. And then I was like,

2391
01:50:18,200 --> 01:50:20,080
Speaker 4: you know about differential privacy, And I'm like, I know

2392
01:50:20,120 --> 01:50:22,960
Speaker 4: a lot about differential privacy. And then he'd be proceeded

2393
01:50:23,000 --> 01:50:26,360
Speaker 4: to explain his product, which was the most incoherent nonsense

2394
01:50:26,920 --> 01:50:32,120
Speaker 4: I've ever heard. And they were doing so called federated learning,

2395
01:50:32,200 --> 01:50:35,280
Speaker 4: so there's no federal and eventually, like it, it transpired

2396
01:50:35,320 --> 01:50:37,920
Speaker 4: they want to take robot dogs and use it for

2397
01:50:38,040 --> 01:50:40,679
Speaker 4: facial recognition to find people who are brawling in public.

2398
01:50:41,040 --> 01:50:44,000
Speaker 1: This is just mad. This is just madly that's the

2399
01:50:44,080 --> 01:50:46,800
Speaker 1: definition of it. Differential privacy, though, it was. It was

2400
01:50:47,800 --> 01:50:50,080
Speaker 1: genuinely nuts. Just this a bit.

2401
01:50:51,000 --> 01:50:52,880
Speaker 2: What does differential privacy mean?

2402
01:50:53,120 --> 01:50:57,560
Speaker 4: So there's this problem with data sets that you've de identified.

2403
01:50:57,600 --> 01:50:59,680
Speaker 4: So say you've got like a record of everyone in

2404
01:50:59,760 --> 01:51:04,680
Speaker 4: a territory who's had interacted with the hospital system, and

2405
01:51:05,000 --> 01:51:08,240
Speaker 4: you replace their names with a number, and you give

2406
01:51:08,280 --> 01:51:11,160
Speaker 4: it to medical researchers, and you say, go find like correlates.

2407
01:51:11,200 --> 01:51:14,960
Speaker 4: Go find out what two factors correlate, Like people who

2408
01:51:15,040 --> 01:51:17,519
Speaker 4: get pneumonia are more likely to have had a fall

2409
01:51:17,760 --> 01:51:21,360
Speaker 4: or something. And the problem with that is that it's

2410
01:51:21,479 --> 01:51:24,240
Speaker 4: very easy to reidentify these de identified data sets. So

2411
01:51:24,320 --> 01:51:26,840
Speaker 4: Ben Goldacre, who has done the most important work on

2412
01:51:26,920 --> 01:51:30,400
Speaker 4: this in the United Kingdom, always points out that Tony

2413
01:51:30,479 --> 01:51:34,040
Speaker 4: Blair had two heart surgeries while he was in office.

2414
01:51:34,160 --> 01:51:37,080
Speaker 4: We know what dates he had those heart surgeries, we

2415
01:51:37,200 --> 01:51:37,760
Speaker 4: know how he.

2416
01:51:37,880 --> 01:51:38,639
Speaker 1: Was when he had them.

2417
01:51:38,960 --> 01:51:40,880
Speaker 4: So if you have a data set of a de

2418
01:51:41,000 --> 01:51:43,880
Speaker 4: identified data set of all of the NHS data, you

2419
01:51:43,920 --> 01:51:45,920
Speaker 4: can find Tony Blair. You just find the person who

2420
01:51:46,000 --> 01:51:48,479
Speaker 4: is this age who had these two heart procedures on

2421
01:51:48,560 --> 01:51:50,840
Speaker 4: these days, and that's Tony Blair, and you can follow

2422
01:51:50,920 --> 01:51:53,160
Speaker 4: them through history right up to this moment. Nice and

2423
01:51:53,320 --> 01:51:56,920
Speaker 4: differential privacy in ject's noise into these data sets, and

2424
01:51:57,280 --> 01:52:00,240
Speaker 4: there's a kind of very elegant set of mathematic that

2425
01:52:00,320 --> 01:52:04,400
Speaker 4: I do not understand that can allow you to quantify

2426
01:52:04,960 --> 01:52:07,599
Speaker 4: how hard it will be to re identify someone based

2427
01:52:07,640 --> 01:52:10,559
Speaker 4: on how much false information you've injected into the data set.

2428
01:52:10,880 --> 01:52:13,640
Speaker 4: The more false information you inject, the less useful that

2429
01:52:13,760 --> 01:52:16,479
Speaker 4: information is, but the more so it's.

2430
01:52:16,400 --> 01:52:23,160
Speaker 2: Like a balancing act between injective size.

2431
01:52:21,280 --> 01:52:24,120
Speaker 4: And so I'm I mean, it's the thing I'm interested in.

2432
01:52:24,240 --> 01:52:27,800
Speaker 4: As I was saying to Ed, oh, uh, you know this,

2433
01:52:28,000 --> 01:52:30,080
Speaker 4: there's a lot of wish casting here. People would really

2434
01:52:30,360 --> 01:52:33,840
Speaker 4: like the identification to work because then you could do

2435
01:52:33,920 --> 01:52:35,960
Speaker 4: a lot of things that would otherwise be really shitty

2436
01:52:36,040 --> 01:52:38,479
Speaker 4: and make people angry to just say, oh no, we're

2437
01:52:38,520 --> 01:52:43,679
Speaker 4: respecting your privacy. It probably doesn't like that. It's probably

2438
01:52:43,760 --> 01:52:47,679
Speaker 4: the case that in most applications the identification uh doesn't

2439
01:52:47,680 --> 01:52:49,160
Speaker 4: work even with differential privacy.

2440
01:52:49,360 --> 01:52:51,719
Speaker 1: But it's like when I see the words differential privacy,

2441
01:52:52,200 --> 01:52:53,880
Speaker 1: you know, like I.

2442
01:52:53,960 --> 01:52:58,719
Speaker 2: Just feel like a very specific thing to not be doing.

2443
01:52:59,200 --> 01:53:00,840
Speaker 2: And you're like, oh, yeah, what you actually.

2444
01:53:01,680 --> 01:53:03,719
Speaker 1: A robot could see a personally chase.

2445
01:53:05,640 --> 01:53:07,400
Speaker 2: Yeah, that's really where it was, it's like, how do

2446
01:53:07,479 --> 01:53:09,560
Speaker 2: we chase down people of color? Yeah? This is this

2447
01:53:09,560 --> 01:53:10,920
Speaker 2: is why I prefer the booths.

2448
01:53:11,000 --> 01:53:13,599
Speaker 9: That's that's in the same section, maybe a few booths

2449
01:53:13,640 --> 01:53:16,000
Speaker 9: over in central Hall, which is I think it's a

2450
01:53:16,040 --> 01:53:20,000
Speaker 9: South Korean company called dreamy Okay, oh yeah, with two weeks.

2451
01:53:20,280 --> 01:53:23,880
Speaker 9: But their motto is all dreams in one dream.

2452
01:53:24,040 --> 01:53:26,720
Speaker 1: Hell yeah, that's beautiful.

2453
01:53:27,000 --> 01:53:29,120
Speaker 2: This actually reminds me I've got some really good like

2454
01:53:29,320 --> 01:53:33,920
Speaker 2: names miss the Cool, doctor, Boss Astrositus, pet Goo Goo

2455
01:53:34,560 --> 01:53:39,840
Speaker 2: planned Emoji Yangaroo. Uh fucking just f k I was

2456
01:53:39,960 --> 01:53:43,599
Speaker 2: I was a legitimate fan of a company uh something

2457
01:53:43,680 --> 01:53:49,200
Speaker 2: and fucking fucking tapo. Uh. Let's see, I've got That's

2458
01:53:49,479 --> 01:53:50,840
Speaker 2: there's more. I think it.

2459
01:53:51,160 --> 01:53:54,840
Speaker 9: What's so representative over this? Like, I think it's so

2460
01:53:55,160 --> 01:53:57,719
Speaker 9: representative of this whole cees and the whole like current

2461
01:53:57,800 --> 01:54:02,320
Speaker 9: like AI smart moment is all dreams in one dream,

2462
01:54:03,439 --> 01:54:04,599
Speaker 9: dream all.

2463
01:54:04,479 --> 01:54:08,120
Speaker 1: Dreams in one You want to go to ring, But

2464
01:54:08,200 --> 01:54:10,120
Speaker 1: what if your wedding ring could tell you how to

2465
01:54:10,200 --> 01:54:13,680
Speaker 1: make thermite? Here's a good one. Also tell you if

2466
01:54:13,680 --> 01:54:16,200
Speaker 1: you're stressed or called, Yeah, you want someone to watch

2467
01:54:16,240 --> 01:54:18,479
Speaker 1: your kid, what if that person could tell your kid

2468
01:54:18,520 --> 01:54:19,479
Speaker 1: how to hang themselves.

2469
01:54:19,640 --> 01:54:22,240
Speaker 2: So here's a nice one that is foreign app but

2470
01:54:22,320 --> 01:54:25,360
Speaker 2: could be for Lockheed Martin make your inside outside. Oh

2471
01:54:25,640 --> 01:54:28,920
Speaker 2: hey good, Well that's a company called Wow.

2472
01:54:30,400 --> 01:54:30,559
Speaker 6: Good.

2473
01:54:31,080 --> 01:54:34,360
Speaker 1: I love I love the And they're usually foreign companies

2474
01:54:34,520 --> 01:54:37,280
Speaker 1: who did not think about some of the implications of

2475
01:54:37,320 --> 01:54:40,560
Speaker 1: their of their branding or their American name. There was

2476
01:54:40,640 --> 01:54:42,080
Speaker 1: one booth I saw, and I don't know what the

2477
01:54:42,160 --> 01:54:44,200
Speaker 1: company did, but I took a picture of it because

2478
01:54:44,240 --> 01:54:47,120
Speaker 1: it just said making it easier to edge with AI.

2479
01:54:50,400 --> 01:54:52,200
Speaker 2: And there was another and I talked to him. They

2480
01:54:52,200 --> 01:54:53,360
Speaker 2: had a legitimately good.

2481
01:54:54,680 --> 01:54:56,480
Speaker 1: Case enabled cave.

2482
01:54:56,760 --> 01:54:59,080
Speaker 2: I mean that exists here by the way, No, I

2483
01:54:59,360 --> 01:55:01,840
Speaker 2: I wrote down in the phrase sexlesschoon cave.

2484
01:55:01,960 --> 01:55:05,440
Speaker 1: Well, I'm not now we're gonna have a and they're gonna.

2485
01:55:05,200 --> 01:55:09,240
Speaker 2: Be but I feel likes is the sexless goon cave.

2486
01:55:09,320 --> 01:55:11,840
Speaker 2: It's just a bunch of activity. Oh, people are fucking

2487
01:55:12,000 --> 01:55:16,680
Speaker 2: the cees. The robot with the with the with the model.

2488
01:55:16,840 --> 01:55:17,080
Speaker 1: Yeah.

2489
01:55:17,240 --> 01:55:19,200
Speaker 2: No, there's a robot with a flesh light attack.

2490
01:55:19,560 --> 01:55:20,120
Speaker 1: That's nice.

2491
01:55:20,160 --> 01:55:21,960
Speaker 2: And so the chat bottle talk to you as you

2492
01:55:22,040 --> 01:55:22,600
Speaker 2: have sex.

2493
01:55:22,440 --> 01:55:24,760
Speaker 4: With One of the best bits I ever saw burning

2494
01:55:24,840 --> 01:55:27,280
Speaker 4: Man was this someone the bits you're gonna have to

2495
01:55:27,320 --> 01:55:32,840
Speaker 4: be someone hung a hanged a flesh light from a

2496
01:55:32,960 --> 01:55:35,040
Speaker 4: signpost that said public flesh light.

2497
01:55:35,120 --> 01:55:41,760
Speaker 1: Yeah, this dusty kind of clang and.

2498
01:55:41,920 --> 01:55:46,480
Speaker 4: Pendulous flashlight, just waving back and forth the wind in

2499
01:55:46,520 --> 01:55:47,080
Speaker 4: the dust storm.

2500
01:55:47,160 --> 01:55:49,240
Speaker 2: If I saw anyone walking up, I'd be like, Oh,

2501
01:55:49,440 --> 01:55:51,600
Speaker 2: you gonna go, You're gonna go. You want to get

2502
01:55:51,600 --> 01:55:52,480
Speaker 2: you want to wait.

2503
01:55:52,400 --> 01:55:53,160
Speaker 1: Just to see if they do.

2504
01:55:53,360 --> 01:55:55,360
Speaker 4: It would have been that would have been a better bit,

2505
01:55:55,480 --> 01:55:58,240
Speaker 4: would have been fucking the flesh the public flashlight. But

2506
01:55:58,360 --> 01:56:00,920
Speaker 4: the public flashlight, it's unto itself.

2507
01:56:00,760 --> 01:56:03,000
Speaker 1: Was a photo op of all photo ops. I just

2508
01:56:03,120 --> 01:56:03,560
Speaker 1: like the idea.

2509
01:56:03,560 --> 01:56:05,120
Speaker 2: If you see anyone walk up to it, you're like,

2510
01:56:05,200 --> 01:56:06,760
Speaker 2: oh can I do you want to go?

2511
01:56:06,960 --> 01:56:08,480
Speaker 1: Yeah? No, you first, I insist.

2512
01:56:08,600 --> 01:56:08,880
Speaker 2: I was.

2513
01:56:09,040 --> 01:56:10,760
Speaker 1: I was gonna send this episode to my grandma.

2514
01:56:12,600 --> 01:56:15,520
Speaker 4: I talked about you fired from your talking about fleshlight

2515
01:56:15,760 --> 01:56:16,760
Speaker 4: on a podcast job.

2516
01:56:16,840 --> 01:56:18,640
Speaker 2: I just want to be clear that the level the

2517
01:56:18,720 --> 01:56:20,880
Speaker 2: one of them where it's about my dad's horny level

2518
01:56:21,120 --> 01:56:23,160
Speaker 2: from last year. I mentioned it again and it was

2519
01:56:23,240 --> 01:56:25,720
Speaker 2: the episode my father listened to. That's good and he

2520
01:56:25,840 --> 01:56:27,800
Speaker 2: has not brought it up. He just said he liked

2521
01:56:27,840 --> 01:56:32,120
Speaker 2: the episode, So that's gonna Dad very rarely on podcasts.

2522
01:56:32,160 --> 01:56:35,520
Speaker 2: Do we talk about your your libido? No, privately a lot.

2523
01:56:36,040 --> 01:56:39,680
Speaker 2: I honestly text me almost daily about it. Just as

2524
01:56:39,760 --> 01:56:43,320
Speaker 2: nothing weird, nothing to date, Robert, just no feelings, just

2525
01:56:43,400 --> 01:56:44,480
Speaker 2: completely empty.

2526
01:56:44,840 --> 01:56:49,920
Speaker 1: No, that's my favorite bern Art project. Corey was at

2527
01:56:50,320 --> 01:56:52,920
Speaker 1: the Regional Texas burn flip side. Someone built a giant

2528
01:56:52,960 --> 01:56:55,800
Speaker 1: bug zapper that was like a big like like a

2529
01:56:56,120 --> 01:56:58,880
Speaker 1: like rectangular prism and they had a bunch of so

2530
01:56:58,920 --> 01:57:00,600
Speaker 1: it was all metal and it was all electric, and

2531
01:57:00,720 --> 01:57:02,600
Speaker 1: there were a bunch of like different little alcoves in

2532
01:57:02,640 --> 01:57:05,520
Speaker 1: it that had like whippets or joints or little bags

2533
01:57:05,560 --> 01:57:08,080
Speaker 1: of drugs. So in order to get drugs you had

2534
01:57:08,120 --> 01:57:10,080
Speaker 1: to like navigate your way in and get electric.

2535
01:57:10,160 --> 01:57:13,920
Speaker 2: Kid. That is actually that is kind of what it

2536
01:57:13,960 --> 01:57:16,560
Speaker 2: feels like to be a see yeah. Yeah, well like

2537
01:57:16,680 --> 01:57:19,200
Speaker 2: trying to get to like anything worthwhile, but it's just

2538
01:57:19,320 --> 01:57:23,880
Speaker 2: like exactly this LLM thing. Oh god, Well, as we

2539
01:57:24,080 --> 01:57:26,920
Speaker 2: wrap this up, I have to thank everyone in this room.

2540
01:57:27,240 --> 01:57:30,320
Speaker 2: Robert Garrison from It Could Happen Here Behind the Bastards,

2541
01:57:30,360 --> 01:57:33,960
Speaker 2: You've been incredible to support of everyone here. Caul Schernad

2542
01:57:34,040 --> 01:57:37,520
Speaker 2: from the Las Vegas Sun. I was about to say

2543
01:57:37,520 --> 01:57:39,480
Speaker 2: the new York Sun, which is the newspaper that collapsed

2544
01:57:39,560 --> 01:57:41,120
Speaker 2: when I was moving to this country.

2545
01:57:41,360 --> 01:57:43,840
Speaker 4: At one point claimed that they had found life on

2546
01:57:43,920 --> 01:57:44,400
Speaker 4: the moon.

2547
01:57:45,000 --> 01:57:48,040
Speaker 1: And that's why they got shut down.

2548
01:57:48,640 --> 01:57:51,240
Speaker 2: They got shut down for fired for truth. I think, no,

2549
01:57:51,480 --> 01:57:52,640
Speaker 2: that's that's a different guy.

2550
01:57:53,120 --> 01:57:54,640
Speaker 1: No, we've we've been doing so well.

2551
01:57:54,680 --> 01:57:57,640
Speaker 2: Of course, Edward and Guaiso Junior, thank you so much, sir,

2552
01:57:57,920 --> 01:57:59,120
Speaker 2: thank you for having me.

2553
01:57:59,360 --> 01:58:00,320
Speaker 1: I truly love you all.

2554
01:58:00,360 --> 01:58:02,640
Speaker 2: You've done an incredible job, and all of you listeners

2555
01:58:02,680 --> 01:58:05,920
Speaker 2: have done one to and thank you to Manasowski, the

2556
01:58:06,000 --> 01:58:11,320
Speaker 2: producer of the hour, the guitarist Philip Broughton are incredible bartender.

2557
01:58:11,360 --> 01:58:13,880
Speaker 2: He will be here for our epilogue tomorrow. Thank you

2558
01:58:13,960 --> 01:58:17,600
Speaker 2: to every single guest we've ever had. We're also dedicating

2559
01:58:17,680 --> 01:58:19,800
Speaker 2: these episodes to Sean Paul Adams, friend of the show,

2560
01:58:19,880 --> 01:58:24,200
Speaker 2: past Sadley. Last year, please donate to the Pediatric Epeleepsy

2561
01:58:24,280 --> 01:58:26,400
Speaker 2: Research Consortium and Corey Doctor. Of course, thank you for

2562
01:58:26,520 --> 01:58:29,000
Speaker 2: joining us with you they you've been awesome. Thank you

2563
01:58:29,120 --> 01:58:33,120
Speaker 2: for helping us terrorize people dunk. Yeah, it's been really great.

2564
01:58:33,200 --> 01:58:35,120
Speaker 2: We'll be back next year, and of course we'll be

2565
01:58:35,240 --> 01:58:37,280
Speaker 2: back next week. Got Steve Burke coming on talking about

2566
01:58:37,320 --> 01:58:40,440
Speaker 2: some CS stuff and games Nexus. This is an incredible

2567
01:58:40,480 --> 01:58:42,160
Speaker 2: show and we've changed the definition of what a tech

2568
01:58:42,520 --> 01:58:45,400
Speaker 2: podcast could be. Almost said cod past just gonna move

2569
01:58:45,480 --> 01:58:47,240
Speaker 2: right past that, wading the definition again.

2570
01:58:47,320 --> 01:58:47,920
Speaker 1: Yeah, there we go.

2571
01:58:48,560 --> 01:58:50,840
Speaker 2: Oh god, I love doing this show. Thank you all

2572
01:58:50,960 --> 01:58:52,800
Speaker 2: so much. You'll get an epilogue tomorrow will be a

2573
01:58:52,800 --> 01:58:55,600
Speaker 2: little more chill, but we are out. Thanks to the

2574
01:58:55,680 --> 01:58:56,720
Speaker 2: City of Las Vegas.

2575
01:58:56,880 --> 01:58:58,880
Speaker 1: Thank with you with this. We're not in the city

2576
01:58:58,880 --> 01:58:59,440
Speaker 1: of Last Vegas.

2577
01:58:59,480 --> 01:59:03,000
Speaker 4: We're at the Las Vegas for County, well Clark County, right,

2578
01:59:03,000 --> 01:59:05,680
Speaker 4: we've established the city of Las Vegas is a are

2579
01:59:05,840 --> 01:59:07,360
Speaker 4: you've never been to. On the other side of the

2580
01:59:07,440 --> 01:59:08,760
Speaker 4: airport full of houses.

2581
01:59:08,880 --> 01:59:11,240
Speaker 1: Well, this is not a city. This is unincorporated La

2582
01:59:11,400 --> 01:59:11,880
Speaker 1: County to.

2583
01:59:12,000 --> 01:59:13,200
Speaker 2: The Las Vegas Strip.

2584
01:59:13,480 --> 01:59:16,800
Speaker 1: There go, as I would say, less vomiting trash cans

2585
01:59:16,840 --> 01:59:17,360
Speaker 1: than last year.

2586
01:59:17,400 --> 01:59:21,880
Speaker 2: Yeah you know, and you were fewer, and yes I

2587
01:59:21,960 --> 01:59:24,800
Speaker 2: would I'm truly out of thanks to Gear, but thank

2588
01:59:24,880 --> 01:59:26,600
Speaker 2: you to the listeners. It will come with us for

2589
01:59:26,720 --> 01:59:30,120
Speaker 2: this twenty hour adventure. We will be back next week

2590
01:59:30,160 --> 01:59:31,320
Speaker 2: and we'll be back next.

2591
01:59:31,200 --> 01:59:42,040
Speaker 1: Year as well. Thank you. Thank you for listening to

2592
01:59:42,120 --> 01:59:42,800
Speaker 1: Better Offline.

2593
01:59:43,080 --> 01:59:45,520
Speaker 2: The editor and composer of the Better Offline theme song

2594
01:59:45,600 --> 01:59:48,200
Speaker 2: is Matosowski. You can check out more of his music

2595
01:59:48,280 --> 01:59:51,520
Speaker 2: and audio projects at Mattasowski dot com m A.

2596
01:59:51,680 --> 01:59:55,560
Speaker 1: T T O S O W s ki dot com.

2597
01:59:56,320 --> 01:59:58,800
Speaker 2: You can email me at easy at Better offline dot com,

2598
01:59:59,000 --> 02:00:01,800
Speaker 2: or visit Better Offline find more podcast links, and of

2599
02:00:01,880 --> 02:00:04,960
Speaker 2: course my newsletter. I also really recommend you go to

2600
02:00:05,040 --> 02:00:07,520
Speaker 2: chat dot Where's youread dot at to visit the discord,

2601
02:00:07,800 --> 02:00:10,080
Speaker 2: and go to our slash Better Offline to check out

2602
02:00:10,120 --> 02:00:10,640
Speaker 2: our reddit.

2603
02:00:11,440 --> 02:00:12,760
Speaker 1: Thank you so much for listening.

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Speaker 2: Better Offline is a production of cool Zone Media.

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Speaker 7: For more from cool Zone Media, visit our website cool

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Speaker 7: Zonemedia dot com, or check us out on the iHeartRadio app,

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Speaker 7: Apple Podcasts, or wherever you get your podcasts.