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Speaker 1: Also media, someone through a portal to the podcast to

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Speaker 1: mention I am ed Zitron and this is better Offlines

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Speaker 1: coverage of the Consumer Electronic Show. It's goddamn Wednesday, and

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Speaker 1: we're here at the goddamn Palazzo Hotel and beautiful Las Vegas,

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Speaker 1: Nevada all week with an open bar, tacos and the

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Speaker 1: comfy place to relax. Reporters covering the largest and I

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Speaker 1: don't know, most offensive technology show in the world, i'd say,

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Speaker 1: And we're here all week with two episodes today and

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Speaker 1: we've got an all star cast bring you the best

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Speaker 1: and well mostly the worst from the show floors at

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Speaker 1: the Las Vegas Convention and Venetian Expost centers. And my

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Speaker 1: first contestants are joining me on nice and damp from

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Speaker 1: the show floor. That was actually in the notes before that. Chloe,

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Speaker 1: I apologize. I've got just.

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Speaker 2: Filled half a can of liquid death all over myself.

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Speaker 1: In this I bought an entire can over this tape yesterday.

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Speaker 3: It like exploded because it froze.

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Speaker 1: Anyway, mister Longuso Junior and Junior Jesus Christ, I'm keeping going.

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Speaker 1: Thank you for joining me. Take Bubble newsletter of course.

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Speaker 1: Thank you thank you, happy to be here, and you've

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Speaker 1: got a star of Is this thing on Chloe Radcliffe? Yes,

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Speaker 1: comedian as well, that's right all this intro and Cole

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Speaker 1: stand up comedian host of the Factually podcast Adam.

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Speaker 4: Connove, Hello, thank you for having me.

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Speaker 1: So it sounds like you've all been on the convention

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Speaker 1: flaws and based on the little I've heard, real bang

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Speaker 1: of day, Chloe, you got some free stuff.

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Speaker 2: The very first booth that I walked into was a

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Speaker 2: dongle that basically makes you be able to air drop

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Speaker 2: between Mac and PC things.

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Speaker 5: Huh and I do.

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Speaker 2: Yeah, super useful and it's like adorable. I truly was

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Speaker 2: magneted over because I was like, the word dongle is

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Speaker 2: really funny and I wonder if I can make some

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Speaker 2: jokes out of that. And then I saw it and

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Speaker 2: was like, oh, this actually kind of rocks, and uh,

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Speaker 2: I have I feel like an asshole saying I have

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Speaker 2: an assistant, but I have an assistant and she uses

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Speaker 2: a PC laptop but a MAC phone, And I was like, oh,

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Speaker 2: I think I would like to buy this for her

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Speaker 2: as a gift. Yeah, And so I was asking about

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Speaker 2: the price and they said they were like, oh, well,

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Speaker 2: we'd love to send you some free product.

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Speaker 1: Let me send them, let me take a photo of

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Speaker 1: your badge whatever.

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Speaker 2: And truly my eyes like popped out of my skull,

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Speaker 2: went cash dollars rolling through my eyes, and I was like.

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Speaker 1: I can get free things.

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Speaker 3: The corner is on.

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Speaker 2: Yeah, And so then I started trying to go over

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Speaker 2: and like like show interest in things that I might want,

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Speaker 2: and most of them did not involve for it.

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Speaker 3: Just walking up to the eighty seven inch TV you want?

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Speaker 1: Yeah, Wow, that's so nice.

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Speaker 3: I love that, just kicking, just looking eyes with them.

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Speaker 1: I love this.

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Speaker 2: Give it to me, my my badge, says digital content creator.

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Speaker 2: That's what you want, right, you want me to create

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Speaker 2: digital content about your four thousand dollars TV.

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Speaker 1: Right?

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Speaker 3: You like this? You pick?

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Speaker 5: Give it to me.

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Speaker 1: So aside people not giving you stuff for free, anything interesting.

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Speaker 5: Uh, there was.

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Speaker 2: Well, so I really got gummed down. I spent too

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Speaker 2: much time on the accessories.

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Speaker 1: They were great.

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Speaker 2: There was one actually a booth that was had a

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Speaker 2: super useful like travel uh a wireless charger that like

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Speaker 2: flips out. It looks like a like a makeup compact actually,

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Speaker 2: and there's a wireless charger for your phone, and a

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Speaker 2: wireless charger for your AirPods and a little baby one

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Speaker 2: for your Apple Watch.

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Speaker 5: Right, And I.

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Speaker 2: Don't use those three things, but my boyfriend does. And

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Speaker 2: so I was, oh, fuck Christmas presents.

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Speaker 3: This is awesome.

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Speaker 2: Great, I'm just starting to make Christmas presents list on

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Speaker 2: the CEES floor, which actually seems like the best possible.

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Speaker 5: Yeah, that that is what it should be.

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Speaker 4: You should walk around and go, oh, stocking stuffers, little

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Speaker 4: googaws that will make Grammy happy. Yeah, like consumer Electronics expo.

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Speaker 2: Yeah, yeah, it is for it is at a retail

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Speaker 2: level for the consumers, me and my family. And but

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Speaker 2: then at that same booth where I was, so I

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Speaker 2: was like really owed by this, the little flip open

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Speaker 2: k Wiler sharger.

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Speaker 5: And then a guy.

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Speaker 2: The guy was walking me around and he was showing

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Speaker 2: me the other things that they have whatever whatever, other

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Speaker 2: char power blocks and charging. And then another guy at

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Speaker 2: that same booth came up and there's I have a

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Speaker 2: photo of it, but it's probably not worth showing. They

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Speaker 2: have a little set of power banks in the back

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Speaker 2: that's like pastel colors. And I didn't look at that

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Speaker 2: and go, oh power banks for girls. I didn't gotta

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Speaker 2: say that thought never crossed my mind. I just thought,

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Speaker 2: a power bank that's pink as I do, and light

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Speaker 2: green whatever, very progressive, and it looks kind of like

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Speaker 2: a makeup bottle, like it's like one color on like

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Speaker 2: for two thirds of it, and then it kind of

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Speaker 2: looks like it might have a clear glass top.

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Speaker 3: It's not.

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Speaker 2: It's just a power bank. But I again, this is

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Speaker 2: not a thought that I had. But the second guy

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Speaker 2: walks up and he goes, it looks like a foundation,

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Speaker 2: clearly with the tone of like, you're a lady, you

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Speaker 2: will like that.

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Speaker 1: Now there's a guy who knows makeup. Yes, it looks

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Speaker 1: like conquila.

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Speaker 4: He worked for the product.

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Speaker 1: He worked for the company.

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Speaker 2: For the company, yeah, I And I went, oh, yeah,

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Speaker 2: it looks like a foundation, and he like doubled down

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Speaker 2: on it and he was like, yeah, yeah, yeah, so

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Speaker 2: I think you'd like it.

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Speaker 5: It looks like a foundation.

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Speaker 2: And I went, oh, so these are for these are

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Speaker 2: the power banks for girls, and he went yeah, yeah, yeah, yeah,

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Speaker 2: they're for girls.

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Speaker 5: And I think the first guy.

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Speaker 2: Who I was talking to you understood that I hated

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Speaker 2: what was going on, like that I was having fun

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Speaker 2: and sort of mocking the whole thing, but he couldn't

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Speaker 2: step in and stop it, and the guy who I

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Speaker 2: was mocking fully did not track what was going on.

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Speaker 3: I love that.

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Speaker 1: I love that there's still like it's like nineteen ninety

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Speaker 1: five and like, what if computer for woman? Yes, woman,

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Speaker 1: they're using this thing now, the birds truly.

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Speaker 2: I he kept doubling down and tripling down so hard

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Speaker 2: on it that I eventually pointed, we're still standing in

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Speaker 2: front of power banks for girls, and I pointed to

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Speaker 2: one on the end that it was black, and I went,

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Speaker 2: see this one, I go, what is that?

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Speaker 4: No dog?

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Speaker 5: I literally hit my forehead with them.

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Speaker 2: But this one, I go, that makes me happy.

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Speaker 5: The first guys like humiliated.

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Speaker 2: I was like, I'm sorry, but your coworker is really

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Speaker 2: fucking annoying.

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Speaker 4: That's so good.

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Speaker 1: I love that.

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Speaker 3: I love that they're still doing shit like that.

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Speaker 5: It was crazy.

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Speaker 4: I mean, it reminds me of when I purchased in

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Speaker 4: twenty thirteen a twenty ten used Prius Prius the Prius

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Speaker 4: dealership and the guy is driving around me and my

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Speaker 4: girlfriend at the time, and she's in the back. I'm

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Speaker 4: the one purchasing the car. But he turns to her

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Speaker 4: and he goes. So Toyota actually pulled a thousand women

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Speaker 4: on what they would like in the car and so

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Speaker 4: there's a place to put your purse right here, like

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Speaker 4: under the console. And she hated that so much she

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Speaker 4: talked about that for ten years.

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Speaker 6: Don't look at her and say.

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Speaker 4: We've we asked your kind.

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Speaker 1: We lost one thousand woman and that is it. We

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Speaker 1: no more, no need to do. It's just I don't know,

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Speaker 1: without without being too preach about It's like it's twenty

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Speaker 1: twenty five at this point.

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Speaker 3: It's like pink is for girls, blackest for boys.

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Speaker 1: Yeah, this will fit in your handbag, which you don't

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Speaker 1: appear to have.

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Speaker 5: All of this shit fits in my head. It's all

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Speaker 5: very small.

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Speaker 1: Yeah, it's like like were the go Ones smaller and

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Speaker 1: thinner or they just colors they were it was just

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Speaker 1: pink and purple.

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Speaker 4: And see they gotta go. They gotta go further than

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Speaker 4: that when they make it like super girly. Like I

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Speaker 4: went to the Razor booth and they had this is

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Speaker 4: an old product, but they had the headphones with the caddiers.

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Speaker 4: Yeah that's I feel like that's not so bad because

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Speaker 4: that's like, you know, if you're super if you're like

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Speaker 4: a fucking egirl twitch streamer and you like you your

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Speaker 4: whole you know, streamer room is hello, kitty shit right.

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Speaker 1: You know.

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Speaker 2: It's like I would say, I would say that headphones

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Speaker 2: with caddiers is the third gender.

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Speaker 4: Artistic.

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Speaker 1: I would love these guys could be like.

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Speaker 5: Hey, it's like my.

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Speaker 3: Headphones are the exact ones.

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Speaker 1: I looked, and I looked for hours and hours and hours,

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Speaker 1: and I tried several of them, and I talked to

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Speaker 1: multiple friends and then I found the perfect one and

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Speaker 1: they weren't perfect, so I returned them and tried another

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Speaker 1: one and then they were perfect.

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Speaker 3: Yeah, that's the fourth gender.

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Speaker 5: Just diagnosed.

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Speaker 1: I'm fresh. I'm fresh to listeners, the listeners who have

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Speaker 1: been trying to diagnose me for two years, Like finally,

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Speaker 1: I mean, I'm finally edified.

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Speaker 3: Yeah, oh god, So okay.

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Speaker 7: I just want a vendor to look at me and

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Speaker 7: be like, you know, plays a little wrap.

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Speaker 1: You know, this goes in your sneakers, sneakers you into

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Speaker 1: those oh god.

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Speaker 7: Instead, when I roll up, they look me up and down,

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Speaker 7: they see the press card, and then they immediately direct

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Speaker 7: their press person over like uh, they're a bodyguard.

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Speaker 1: And forced. Well if I asked, like two questions, but

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Speaker 1: how does this work, They're like.

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Speaker 7: Oh, yeah, he'll tell you, He'll tell you money.

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Speaker 5: Here they did.

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Speaker 1: Yeah, it's so set again, it's twenty twenty five in

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Speaker 1: this to like, whoa okay, one of you guys.

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Speaker 7: My goal has basketball, Yeah, that I gotta find. I'm

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Speaker 7: gonna find someone to riff with. Yeah yeah, yeah, that's

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Speaker 7: my goal in this this convention. Not to find a

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Speaker 7: product I like, but someone who someone who won't be

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Speaker 7: a little scared.

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Speaker 3: Yeah, will be too scared.

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Speaker 1: Oh yeah, actually will get nervous. Someone's just like I

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Speaker 1: don't know. Yeah, I don't know. I've never I've meant

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Speaker 1: tons of people like you. Yeah, but wait, what did

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Speaker 1: you see today?

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Speaker 3: What anything funny?

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Speaker 4: I mean, it was nothing interesting. I circled back.

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Speaker 5: To nothing, a really funny review.

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Speaker 1: Of another good tech line for the show.

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Speaker 5: Nothing that's really interesting.

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Speaker 7: I circled back to a lot of the age tech

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Speaker 7: and kind of AI health companion stuff because I was

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Speaker 7: interested in seeing, Okay, maybe if I have a little

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Speaker 7: bit more of a conversation with them and then get

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Speaker 7: them to explain what the agent part means, or to

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Speaker 7: explain that use cases I may find something interesting, but

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Speaker 7: it was just more of the same.

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Speaker 1: Uh.

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Speaker 7: You know, there's one firm I circled back to, like

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Speaker 7: I think their name is ali Q that is really

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Speaker 7: really big on elderly companions, right, and trying to have

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Speaker 7: something that your grandparents can talk to that may or

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Speaker 7: may not cause like chatbot psychosis if they spend a

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Speaker 7: lot of time talking.

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Speaker 3: To be is it like a thing on the computer.

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Speaker 7: It is just like a big old kind of looking

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Speaker 7: like an ORB, like a big old like a big ORB,

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Speaker 7: and some sensors around it and the pad that you

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Speaker 7: get to talk to and type in.

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Speaker 4: Grandma loves to commune with the or.

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Speaker 1: You know. Yeah, like your old granny told me, was

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Speaker 1: God your friends.

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Speaker 4: In the computer?

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Speaker 1: You know, I'm never alone now that I have my

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Speaker 1: So you have to log in.

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Speaker 6: To talk to someone.

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Speaker 4: Essentially you're going to work.

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Speaker 1: You got to sit at your desk and be like, hello,

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Speaker 1: are you doing all? There's a person at the end

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Speaker 1: of a chat. But it's a chatbot. That's so sad.

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Speaker 1: And this chatbot is supposed to interface to the outer world,

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Speaker 1: trained on old people speak like what.

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Speaker 2: It says the YouTube the TV TV volume max.

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Speaker 1: It has the same conversation.

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Speaker 5: It is too cold in here.

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Speaker 3: It's also I do.

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Speaker 1: Agree that young people don't work enough.

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Speaker 7: So instead of push notifications or you know, it basically

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Speaker 7: has push and notifications that are like, let's start a conversation.

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Speaker 7: So you'll be doing your thing and be like, hey,

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Speaker 7: I want to talk to you. Technology to harass your bread.

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Speaker 2: No literally, I know so many grandparents who would take

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Speaker 2: that out back and.

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Speaker 1: Hit it with us.

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Speaker 4: Can you imagine all they want is not to be bothered.

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Speaker 3: Yeah, I'm just imagining.

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Speaker 1: My My grandfather passed like twenty years ago, even like

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Speaker 1: way before URMs, just imagining Ken. He was a sign

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Speaker 1: pat in Dorset and born and trit catch Bob made England,

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Speaker 1: and he would have just he would have beat the

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Speaker 1: funk out of.

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Speaker 3: This one minute.

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Speaker 1: He would be like touching that, I'm not touching and

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Speaker 1: beat it with a stick.

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Speaker 3: He would have loved that.

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Speaker 1: Actually they sent the machines to watch us. Oh, I

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Speaker 1: don't even say. He'd just be like offended by an

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Speaker 1: orb he has to talk to.

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Speaker 3: So if we wanted to go down the pub.

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Speaker 4: Did you guys see the booth for for tom Bought Incorporated.

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Speaker 2: I saw it from afar and it looked so terrifying

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Speaker 2: and I.

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Speaker 4: Didn't like a little dog puppet and it's booth is

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Speaker 4: like a living room and it's got framed photos of

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Speaker 4: the dog puppet and a and like a what is

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Speaker 4: a sampler sort of cross stitch thing that says a

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Speaker 4: pet for people who can't have pets, okay, And then

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Speaker 4: there's like a lady dressed up like a granny and

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Speaker 4: she's holding the puppet. I didn't really see what it does.

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Speaker 4: Presumably it's just like an AI dog. It's just it's

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Speaker 4: just a sad guy just sort of.

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Speaker 1: Sitting there was a natural fellow.

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Speaker 4: There's like a fella sitting in there. He's like, a yeah,

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Speaker 4: he looks like he's bummed out. He's just sort of

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Speaker 4: sitting there like zone. It like dissociating, petting the dog

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Speaker 4: and settied up and like it could be it could

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Speaker 4: be useful, but it's also like it's such a bummer

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Speaker 4: just to be like this is for it's very elderly

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Speaker 4: people who've lost their ability.

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Speaker 1: And I'm like fifty to fifty on those because I

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Speaker 1: can kind of see like there's it's been proven that's helpful.

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Speaker 1: I've heard good things but the time just like you're

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Speaker 1: too you're too old or sick to take care of

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Speaker 1: an animal.

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Speaker 3: It's great, like seeing a whole booth of that. And

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Speaker 3: then the guy they paid to.

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Speaker 4: Just sit their old day. Yeah bad, Yeah, you look depressed.

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Speaker 4: You feel bad for the demo. You're watching the demo

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Speaker 4: and you're like, oh, it's too bad that this guy

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Speaker 4: has to sit there and put that fake dog. He

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Speaker 4: doesn't look happy about it, whereas when people are with

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Speaker 4: a real dog they're so happy.

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Speaker 1: That's such a good point. Surely he would want to

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Speaker 1: be like, hell, yeah I have Oh I love my dad.

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Speaker 3: This dog is okay.

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Speaker 1: He's like, no, just to wait waiting here until the

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Speaker 1: sun holds me in a week.

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Speaker 4: I've seen the studies that you're talking about. They're also

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Speaker 4: true of plants. Like when you give plants in like

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Speaker 4: the nursing home, they give them plan they bring like

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Speaker 4: kiddies in. Like it's not it's not a particularly unsolved problem. Look,

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Speaker 4: we do need more technology for old people. I've always

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Speaker 4: thought like the Wii was such a hit for old people,

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Speaker 4: and then there's been no Wi since. I think that's

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Speaker 4: a tragedy of technology that like there's countless senior homes

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Speaker 4: that are still using their Wi from like two thousand

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Speaker 4: and seven to play we golf, because there's never been

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Speaker 4: anything like that.

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Speaker 1: Is quite did we go out of business?

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Speaker 3: Nintendo is still in business.

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Speaker 4: Yeah, they're still made up. They occasionally make a game

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Speaker 4: like that. But though WI was like this moment where

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Speaker 4: they developed a new way to control a video game

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Speaker 4: and a game that was very simple and resembled games

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Speaker 4: people already knew, and it was like this perfect thing

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Speaker 4: that people had never played a video game, especially elderly

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Speaker 4: people to like figure it out. And then it just

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Speaker 4: sort of wasn't popular enough among the core gaming audience

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Speaker 4: and they stopped making that type of game.

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Speaker 1: It was also tough to develop for as well, and

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Speaker 1: it was really expensive. The controllers were weird. You have

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Speaker 1: to have like a weird bower above. You think it

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Speaker 1: was just like a lovely idea that just would not scale.

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Speaker 4: Ever, you think you think not. I think maybe it

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Speaker 4: needed a different company to make. I think about this

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Speaker 4: a lot.

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Speaker 1: Kind of done it with the switch, with the control,

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Speaker 1: with the controls, it's not the same.

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Speaker 2: Yeah, but you're saying a company that's not motivated by

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Speaker 2: the youth gaming sector. Yeah, company that like doesn't doesn't

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Speaker 2: need to win the most billions of dollars, that like

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Speaker 2: could operate at.

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Speaker 4: A sea I guess literally a company that's like trying

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Speaker 4: to get contracts with with senior homes.

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Speaker 1: Yeah, my favor.

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Speaker 5: Schools.

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Speaker 2: I feel like at this point kids want things that

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Speaker 2: feel digital but don't absolutely melt their brain.

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Speaker 1: The thing is, though, like the I think we're describing

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Speaker 1: the problem of the modern state of capitalism where it's like, oh,

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Speaker 1: a company doesn't need to grow forever. I'm never gonna

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Speaker 1: fund that bullshit. Are you're gonna make consistent money?

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Speaker 3: Fuck you?

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Speaker 1: I will say I did find a weird one where

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Speaker 1: it was just one of these one of nine hundred

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Speaker 1: different companions. It was just these horrible little things wheeling around.

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Speaker 3: Like Teddy Tubby's. But what was interesting was someone.

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Speaker 1: Had a dog, like a leaving dog, and he was

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Speaker 1: just going fucking batshit and I was like, this fucking rocks.

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Speaker 1: And then someone went and picked up the dog. If

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Speaker 1: they just had a booth, when I had a dog

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Speaker 1: going nuts on these things booth where a dog gets

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Speaker 1: to destroy a row, I would pay. I would pay

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Speaker 1: to watch like a large like even like a small

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Speaker 1: dog would be funny, but like a the one that

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Speaker 1: can climb walls, like a giant dog just ripping up

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Speaker 1: home how much would you Yeah, like a malamute just

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Speaker 1: fucking up like any of these robots would be sick.

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Speaker 2: I feel like we need So there's the Edinburgh Festival,

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Speaker 2: which is in Edinburgh, Scotland, and it's a big performing

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Speaker 2: arts festival. And then there is the Edinburgh Fringe Festival,

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Speaker 2: which grew up as a like people who were rejected

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Speaker 2: from the core Edinburgh Festival and now the Fringe has

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Speaker 2: become bigger and it's it's the biggest performing arts festival

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Speaker 2: in the world and it's the third biggest ticketed event

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Speaker 2: after the Olympics and the World Cup, and it's crazy whatever. Yeah,

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Speaker 2: I feel like we need a CEES fringe that can

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Speaker 2: grow where we can have booths like a dog attacks

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Speaker 2: a robot.

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Speaker 4: That's actually a really good idea. Is there like a

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Speaker 4: counter programming like punk art festival that happens at the

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Speaker 4: same time as CEES that's.

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Speaker 1: Like freaks, you know, that's what we're doing. We're going

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Speaker 1: to stop better offline fester. It's like bring your ship

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Speaker 1: for the dogs. We've hired to destroy and we will

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Speaker 1: look but we want we're pro lab, so we will

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Speaker 1: pay guys to sit around looking depressed on everything.

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Speaker 5: Yeah, yeah, yeah yeah.

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Speaker 1: A guy staring at into the distance with gimme shelter playing.

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Speaker 2: It's gonna be a guy who works for one of

404
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Speaker 2: the companies that have a booth at the real sea, Yes,

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Speaker 2: who then sits and looks sad as we watch as

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Speaker 2: he watches his stuff get destroyed.

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Speaker 1: I saw another robot that was just this. It was

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Speaker 1: on the conveyor belts and it had big arms and

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Speaker 1: it was like home. It was like home patrol, elderly care,

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Speaker 1: laundry folding. And I just walked up like can I

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Speaker 1: see any of this? And they went no.

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Speaker 3: I was like, okay, but does it do it? It will?

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Speaker 3: I just stared right, but what does it do?

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Speaker 1: Now? Well it's there. I'm like, yeah, I got that part.

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Speaker 1: And just it has happened a lot. I mean, you

416
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Speaker 1: were talking about brisket, this fucking AI agent cooking thing, yes,

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Speaker 1: and it's just like you look at it and you're like,

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Speaker 1: AI Agent, Oh it can order food. Well, doesn't sound

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Speaker 1: like it can. No, they haven't figured that part out yet,

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Speaker 1: and what is the AI agent part.

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Speaker 7: Well, that wasn't clear either because it wasn't working. Oh okay,

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Speaker 7: it it seems like there's just a chat bot that

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Speaker 7: has a there's a camera inside so it can like

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Speaker 7: take pictures of.

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Speaker 1: Your food and be like, oh, you like to eat this,

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Speaker 1: I've seen that. Yeah, no, there are so many one

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Speaker 1: of them food.

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Speaker 3: Yes, yeah, you know you into this, yeah, you like.

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Speaker 7: And it was fun because at first it was pitched

430
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Speaker 7: just like, oh, this will like prepare the food and

431
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Speaker 7: cook it for you, and then as you ask questions,

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Speaker 7: it's like, oh no, it's like you have to you

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Speaker 7: still you do everything? You still doing nothing. It was

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Speaker 7: just it was a pellet smoke.

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Speaker 1: It wasn't that.

436
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Speaker 7: Yeah, that's pretty much it, you know. But they're spinning

437
00:19:28,600 --> 00:19:30,479
Speaker 7: it as because they have other products, and that's when

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Speaker 7: they're like, oh, we have a grill that's also an

439
00:19:32,040 --> 00:19:35,359
Speaker 7: AI yeah, yeah agent grill, and we have you know,

440
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Speaker 7: any sort. We have a microwave that we're worked on.

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Speaker 7: So all of it is basically like we just have

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Speaker 7: a sensor inside that gets dated on what you like

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Speaker 7: to eat, and then we'll order some of the components

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Speaker 7: and then we will figure out a way to charge

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Speaker 7: you extra for that delivery Sertax and it's just a

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Speaker 7: chat GPT wrapper yes, yeah.

447
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Speaker 4: Blue Apron plus an AI, which which we kind of

448
00:19:55,400 --> 00:19:55,840
Speaker 4: already have.

449
00:19:55,920 --> 00:19:56,479
Speaker 3: We have Tavala.

450
00:19:56,560 --> 00:20:00,760
Speaker 1: We have like nineteen different Instagram services that the Instagram

451
00:20:00,760 --> 00:20:03,640
Speaker 1: ats that talk at me a week and probably five

452
00:20:03,680 --> 00:20:04,000
Speaker 1: times more.

453
00:20:04,119 --> 00:20:08,040
Speaker 7: Yeah, because it also has a giant fucking screen on it.

454
00:20:08,119 --> 00:20:10,439
Speaker 1: Grilling is like you can just go and buy a

455
00:20:10,480 --> 00:20:13,879
Speaker 1: ship toss like what like a poke shoulder and just

456
00:20:13,960 --> 00:20:15,240
Speaker 1: throw it in with some seasoning.

457
00:20:15,280 --> 00:20:18,200
Speaker 3: And it's like, you don't need the computer to tell you.

458
00:20:18,359 --> 00:20:19,479
Speaker 1: I don't need the computer.

459
00:20:19,880 --> 00:20:21,960
Speaker 3: I don't Who are these.

460
00:20:21,800 --> 00:20:25,200
Speaker 1: People who are like every day is just confusing to them?

461
00:20:25,200 --> 00:20:27,199
Speaker 1: I'm just fucking what do I eat? What do I do?

462
00:20:27,400 --> 00:20:30,119
Speaker 1: Throw the food in there? Oh god, I don't remember

463
00:20:30,240 --> 00:20:33,720
Speaker 1: the things I like to eat. I don't have tastes.

464
00:20:34,240 --> 00:20:39,000
Speaker 4: These companies have not thought about, like even before, they're

465
00:20:39,000 --> 00:20:40,800
Speaker 4: all trying to solve the food problem, like the meal

466
00:20:40,840 --> 00:20:43,359
Speaker 4: delivery kit companies, and none of it sticks. People do

467
00:20:43,440 --> 00:20:45,080
Speaker 4: meal delivery kits for like a couple of months and

468
00:20:45,119 --> 00:20:49,200
Speaker 4: they stop. Is because eating is a solved problem. There's

469
00:20:49,320 --> 00:20:51,920
Speaker 4: like there's three kinds of people there's people who buy

470
00:20:51,960 --> 00:20:54,679
Speaker 4: frozen shit and heat it up or they boil hot dogs.

471
00:20:54,920 --> 00:20:57,680
Speaker 4: There's people who only eat takeout, and there's people who

472
00:20:57,840 --> 00:21:01,000
Speaker 4: enjoy cooking. Those are the and all of them already

473
00:21:01,080 --> 00:21:05,600
Speaker 4: have something. So people who hate cooking aren't gonna like

474
00:21:05,720 --> 00:21:09,879
Speaker 4: cooking because of the expensive shit that you sold them

475
00:21:09,920 --> 00:21:12,920
Speaker 4: to try to trick them into what cook for them,

476
00:21:13,480 --> 00:21:15,200
Speaker 4: sort of cooks for them or does it badly, or

477
00:21:15,240 --> 00:21:17,600
Speaker 4: send them shit in the mail. They don't fucking want

478
00:21:17,600 --> 00:21:20,120
Speaker 4: to cook at all, and they want to eat McDonald's

479
00:21:20,440 --> 00:21:22,280
Speaker 4: or they want to heat up a factor meal in

480
00:21:22,320 --> 00:21:22,960
Speaker 4: the microwave.

481
00:21:23,160 --> 00:21:23,360
Speaker 3: Yeah.

482
00:21:23,359 --> 00:21:25,440
Speaker 1: And the thing is, I don't judge anyone who does

483
00:21:25,480 --> 00:21:27,439
Speaker 1: the meal kit stuff. I did it fine, especially when

484
00:21:27,480 --> 00:21:29,400
Speaker 1: you're trying to lose ways, it's fine, but it's also

485
00:21:29,520 --> 00:21:32,960
Speaker 1: like like it's steal a lot, like a decent amount

486
00:21:32,960 --> 00:21:34,440
Speaker 1: of efforts you have to select and it's like you

487
00:21:34,560 --> 00:21:35,480
Speaker 1: kind of like you heat them.

488
00:21:35,560 --> 00:21:36,480
Speaker 3: I did it for a while.

489
00:21:36,760 --> 00:21:39,879
Speaker 4: Did you enjoy throwing out five hundred small plastic bags?

490
00:21:39,960 --> 00:21:42,280
Speaker 1: Yeah? And also like if you fall behind on them

491
00:21:42,359 --> 00:21:44,480
Speaker 1: or travel or just have a stack of the fuckers,

492
00:21:44,480 --> 00:21:46,760
Speaker 1: and that's when you cancel the moment you have a

493
00:21:46,800 --> 00:21:49,000
Speaker 1: stack and I've still got some of them somehow. And

494
00:21:49,040 --> 00:21:52,520
Speaker 1: it's just I read the documentation for the Briskit that

495
00:21:52,560 --> 00:21:59,560
Speaker 1: I don't fucking care the brisk it, the brisk kit.

496
00:22:00,480 --> 00:22:03,000
Speaker 1: If it's called like the brisk It, I'd kind of laugh,

497
00:22:03,160 --> 00:22:05,600
Speaker 1: but like it's just like but I read it, and

498
00:22:05,640 --> 00:22:08,320
Speaker 1: it was like the little fake demo they had on

499
00:22:08,359 --> 00:22:11,080
Speaker 1: the leaflet that was like, what I want to eat this.

500
00:22:11,160 --> 00:22:13,119
Speaker 1: I want to limit myself to eighteen hundred calories and

501
00:22:13,119 --> 00:22:14,679
Speaker 1: I want to leave these foods out. It's just like,

502
00:22:15,480 --> 00:22:18,959
Speaker 1: all right, no one exists in this manner. Yeah, no

503
00:22:18,960 --> 00:22:20,879
Speaker 1: one is doing this, No one's going to use it

504
00:22:20,920 --> 00:22:23,080
Speaker 1: in this way. No one who is buying a I

505
00:22:23,119 --> 00:22:26,720
Speaker 1: assume thousand plus dollar grill is going to be like, yeah, okay,

506
00:22:26,840 --> 00:22:29,760
Speaker 1: a chatbot to finally tell me, if you're discerning enough

507
00:22:30,200 --> 00:22:32,160
Speaker 1: to like pick a grill that costs that much money,

508
00:22:32,240 --> 00:22:36,280
Speaker 1: you probably put more thought into cooking than just I

509
00:22:36,359 --> 00:22:38,080
Speaker 1: want to spend a thousand dollars for a cooker. That

510
00:22:38,080 --> 00:22:40,280
Speaker 1: would just too much to do. When you ask them

511
00:22:40,359 --> 00:22:44,359
Speaker 1: where the labor saving thing is, because they insist this

512
00:22:44,359 --> 00:22:47,919
Speaker 1: will save you time inconvenience, They describe a process that

513
00:22:48,000 --> 00:22:51,440
Speaker 1: is like longer than getting the food itself to end

514
00:22:51,440 --> 00:22:53,760
Speaker 1: cooking or meal planning your on your own. You know.

515
00:22:54,080 --> 00:22:57,600
Speaker 7: It's like you, I'm spending what half an hour you know,

516
00:22:58,200 --> 00:23:00,840
Speaker 7: getting this thing ready as through.

517
00:23:00,680 --> 00:23:01,600
Speaker 1: It, training it.

518
00:23:01,880 --> 00:23:05,679
Speaker 7: Yeah, and then it'll it'll kind of recommend things for

519
00:23:05,760 --> 00:23:06,520
Speaker 7: me that I still got to.

520
00:23:06,520 --> 00:23:09,320
Speaker 1: Go out by design andre you know.

521
00:23:09,359 --> 00:23:11,320
Speaker 7: So it's like what's actual, what's actually which seems to

522
00:23:11,359 --> 00:23:12,840
Speaker 7: be a trend's actual point?

523
00:23:12,960 --> 00:23:16,320
Speaker 2: Like an in an earlier block we were talking or

524
00:23:16,359 --> 00:23:20,120
Speaker 2: an earlier episode, we were talking about, uh, the chatbot

525
00:23:20,200 --> 00:23:21,879
Speaker 2: that manages I think you were talking about this, the

526
00:23:21,960 --> 00:23:23,520
Speaker 2: chatbot that manages.

527
00:23:24,600 --> 00:23:25,240
Speaker 1: Your home.

528
00:23:25,600 --> 00:23:27,320
Speaker 2: The chatbot that's like you don't want to pick up

529
00:23:27,320 --> 00:23:30,320
Speaker 2: your kids from groceries or from daycare whatever. But it's

530
00:23:30,359 --> 00:23:32,400
Speaker 2: like you still yeah, yeah, yeah, and it like looks

531
00:23:32,400 --> 00:23:35,119
Speaker 2: at your Google calendar for you and whatever, except you

532
00:23:35,160 --> 00:23:37,320
Speaker 2: still have to look at your screen to read what

533
00:23:37,400 --> 00:23:39,800
Speaker 2: the chatbot is telling you. So you could also just

534
00:23:39,800 --> 00:23:41,800
Speaker 2: look at your screen to look at your Google calendar. Ye,

535
00:23:41,920 --> 00:23:47,879
Speaker 2: Like it's not fundamentally and and look, maybe the designers

536
00:23:47,880 --> 00:23:50,479
Speaker 2: of that chat agent would be like, no, no, this

537
00:23:50,600 --> 00:23:53,639
Speaker 2: combines the six apps that you have to have open.

538
00:23:53,800 --> 00:23:56,560
Speaker 2: Except the reason that six apps are open is because

539
00:23:56,640 --> 00:23:59,359
Speaker 2: I have to make a decision about concretely what happens

540
00:23:59,400 --> 00:24:01,399
Speaker 2: in my life do I go to this place or

541
00:24:01,440 --> 00:24:04,680
Speaker 2: this place first? And the chat pot can't fundamentally can't

542
00:24:04,680 --> 00:24:07,560
Speaker 2: make that decision for me. It doesn't have enough information.

543
00:24:07,720 --> 00:24:10,560
Speaker 2: It can't. All of the information is in my brain.

544
00:24:11,480 --> 00:24:13,280
Speaker 7: That's why you have to offload it into those Yeah,

545
00:24:13,320 --> 00:24:14,920
Speaker 7: and then then it can hallucinate.

546
00:24:15,040 --> 00:24:17,800
Speaker 4: Yes, I've been trying to write jokes about AI for

547
00:24:17,800 --> 00:24:20,240
Speaker 4: a while, but you know, Chloe has a comic when

548
00:24:20,400 --> 00:24:22,320
Speaker 4: someone has written a joke that's so good that you

549
00:24:22,320 --> 00:24:24,800
Speaker 4: can't write anything better, and it's like taking over your brain.

550
00:24:25,080 --> 00:24:28,000
Speaker 4: Very funny comic named Hayden Johnson who wrote a tweet

551
00:24:28,040 --> 00:24:31,800
Speaker 4: that was like, uh, every every AI ad is a

552
00:24:31,840 --> 00:24:35,560
Speaker 4: guy saying what should I eat? And the AI says sandwich?

553
00:24:35,680 --> 00:24:43,240
Speaker 1: And the guy is like, wow, it really is a sandwich.

554
00:24:43,480 --> 00:24:44,679
Speaker 6: I never thought whoa?

555
00:24:46,080 --> 00:24:48,679
Speaker 1: And that's actually I think genuinely a Gemini ad. It's like,

556
00:24:48,800 --> 00:24:50,280
Speaker 1: what am I going to eat? It's like if you

557
00:24:50,359 --> 00:24:53,960
Speaker 1: tried this ham Sam, It's like, if you act like that,

558
00:24:54,440 --> 00:24:55,600
Speaker 1: go to a doctor.

559
00:24:56,040 --> 00:24:58,399
Speaker 7: Yeah, because Gemini adds where it's like, hey, you know

560
00:24:58,520 --> 00:25:00,520
Speaker 7: you're in this book club you signed up for some

561
00:25:00,560 --> 00:25:02,359
Speaker 7: reason and you didn't do the reading. What if you

562
00:25:02,440 --> 00:25:04,600
Speaker 7: faked it and told all your friends that you did

563
00:25:04,680 --> 00:25:06,880
Speaker 7: use us? But if you joined a book club where

564
00:25:06,920 --> 00:25:08,560
Speaker 7: you didn't read, Yeah.

565
00:25:08,280 --> 00:25:10,560
Speaker 1: It's just like you know, or like what if you

566
00:25:10,640 --> 00:25:11,600
Speaker 1: lie to your friends?

567
00:25:11,600 --> 00:25:17,160
Speaker 7: So yeah, yeah, right, we can help with that.

568
00:25:17,240 --> 00:25:21,240
Speaker 1: It's very it's peculiar as well, because again, grilling, the

569
00:25:21,280 --> 00:25:23,200
Speaker 1: whole thing is just throw some burgers on there and

570
00:25:23,240 --> 00:25:25,280
Speaker 1: you there, we are assumed with friends or like you're

571
00:25:25,280 --> 00:25:28,199
Speaker 1: throwing a big brisket and it takes eighteen hours and

572
00:25:28,200 --> 00:25:30,320
Speaker 1: you kind of look at it. It's very analog. Like

573
00:25:30,359 --> 00:25:33,000
Speaker 1: I have two giant smokers and they are mostly like

574
00:25:33,040 --> 00:25:35,119
Speaker 1: the best one I have is a big stainless steel

575
00:25:35,119 --> 00:25:39,640
Speaker 1: beast that's basically a temperature measurer, a hopper for pellets

576
00:25:39,920 --> 00:25:41,719
Speaker 1: and then an auger to send him and sent them

577
00:25:41,720 --> 00:25:44,880
Speaker 1: on fire. It's not a computer. Adding computer to that

578
00:25:45,280 --> 00:25:47,639
Speaker 1: really wouldn't change much like I.

579
00:25:47,680 --> 00:25:48,520
Speaker 5: Wouldn't Jane Roger.

580
00:25:48,560 --> 00:25:52,080
Speaker 2: But I think the confusing thing to me, I want

581
00:25:52,400 --> 00:25:56,679
Speaker 2: masculinity to be tied to analog. Miss again, right and

582
00:25:57,200 --> 00:26:00,760
Speaker 2: right now, I think masculinity is tied to computer and

583
00:26:00,880 --> 00:26:03,320
Speaker 2: so it is interesting. I think in a lot. I

584
00:26:03,320 --> 00:26:05,960
Speaker 2: think there's a lot of like, Dad, you like this

585
00:26:06,119 --> 00:26:07,840
Speaker 2: grill because it has a computer in it.

586
00:26:07,920 --> 00:26:08,080
Speaker 1: Yeah.

587
00:26:08,119 --> 00:26:10,560
Speaker 2: Yeah, and it's like no, no, no, no, no, no no, Dad,

588
00:26:10,720 --> 00:26:11,520
Speaker 2: like plain grill.

589
00:26:11,640 --> 00:26:12,960
Speaker 5: Dad, Like this may.

590
00:26:13,000 --> 00:26:17,080
Speaker 4: Changing because that's that's Dad. But you know, there's like

591
00:26:17,119 --> 00:26:20,960
Speaker 4: the performative male archetype like TikTok thing, and that's all

592
00:26:21,480 --> 00:26:26,719
Speaker 4: wired headphones, reading, reading, belle hooks and paper form totally.

593
00:26:26,720 --> 00:26:28,320
Speaker 5: But I don't think I think that.

594
00:26:28,040 --> 00:26:31,359
Speaker 4: That is that's complicated because it's a stereotype created by

595
00:26:31,400 --> 00:26:33,800
Speaker 4: women about men. I was also gonna say not masculine.

596
00:26:33,840 --> 00:26:36,480
Speaker 2: So it's never mind, Adam, with greatest respect, I think

597
00:26:36,520 --> 00:26:40,280
Speaker 2: that your feed over represents how many performative men are

598
00:26:40,359 --> 00:26:41,080
Speaker 2: in the world.

599
00:26:41,200 --> 00:26:43,879
Speaker 4: So I think the whole performative male thing is is

600
00:26:44,400 --> 00:26:45,880
Speaker 4: nonsense bullshit as a meme.

601
00:26:46,000 --> 00:26:46,280
Speaker 1: I think.

602
00:26:46,359 --> 00:26:48,479
Speaker 4: I think it's really destructive and doesn't exist.

603
00:26:48,560 --> 00:26:50,560
Speaker 1: Yeah, I think masculine you should be tired to personal

604
00:26:50,600 --> 00:26:53,200
Speaker 1: responsibility and love for your friends and loved ones. Blest

605
00:26:53,240 --> 00:26:56,399
Speaker 1: person that is not computer, No, and it's not the

606
00:26:56,440 --> 00:26:59,399
Speaker 1: computer is no. I think the computer is innocent. The

607
00:26:59,440 --> 00:27:02,359
Speaker 1: people who the computer must be stopped. And this show

608
00:27:02,400 --> 00:27:05,080
Speaker 1: really is like I think I saw no less than

609
00:27:05,080 --> 00:27:07,960
Speaker 1: seventeen different companies that were like, yeah, we generate images,

610
00:27:08,040 --> 00:27:11,960
Speaker 1: you're a rapper. You're a rapper for a chat GPT. Oh,

611
00:27:12,000 --> 00:27:15,560
Speaker 1: we generate images and texts, so you use chat GPT

612
00:27:16,119 --> 00:27:19,720
Speaker 1: or claude. Yeah, we connect to your disparate documents and

613
00:27:19,760 --> 00:27:22,400
Speaker 1: we're allowed to summarize them. So chat GPT. And there

614
00:27:22,440 --> 00:27:24,400
Speaker 1: were so many of them. There were Hallway. I went

615
00:27:24,440 --> 00:27:26,320
Speaker 1: to Eureka Park because you can guess which is the

616
00:27:26,440 --> 00:27:30,040
Speaker 1: very sad small box area, mostly looking for funny names.

617
00:27:30,080 --> 00:27:31,600
Speaker 1: I'm not gonna lie I it was mostly just looking

618
00:27:31,600 --> 00:27:33,840
Speaker 1: for names that make me laugh. And it was just

619
00:27:34,040 --> 00:27:37,440
Speaker 1: so bizarre because what happens when all of this starts

620
00:27:37,480 --> 00:27:40,479
Speaker 1: getting more expensive, because it's all unprofitable, Just these companies

621
00:27:40,600 --> 00:27:41,800
Speaker 1: evaporate overnight.

622
00:27:42,280 --> 00:27:44,840
Speaker 3: And I will say, we're coming towards the end of

623
00:27:44,840 --> 00:27:45,120
Speaker 3: this block.

624
00:27:45,160 --> 00:27:48,879
Speaker 1: Whenevertheless, I will say Eureka Park felt and even the Expo,

625
00:27:49,040 --> 00:27:52,480
Speaker 1: the Venetian one felt smaller to me like previous years.

626
00:27:52,600 --> 00:27:54,359
Speaker 1: It felt a little more robust, and there was a

627
00:27:54,359 --> 00:27:57,360
Speaker 1: lot more like they would the countries, like the careers

628
00:27:57,440 --> 00:27:59,920
Speaker 1: like Le France and all that cut center. Yeah, yeah,

629
00:27:59,920 --> 00:28:02,000
Speaker 1: the I've got center of it was never above ground.

630
00:28:02,119 --> 00:28:04,720
Speaker 1: You put them in the in the basement where the

631
00:28:04,760 --> 00:28:08,880
Speaker 1: other countries apparently belonged with like the Social Security Administration

632
00:28:09,080 --> 00:28:12,960
Speaker 1: and the various scams. They were up top. They were

633
00:28:12,960 --> 00:28:15,919
Speaker 1: tops out security as a scam. No no, no, But

634
00:28:16,000 --> 00:28:18,120
Speaker 1: like I had a comma in that one. I promised,

635
00:28:18,400 --> 00:28:21,520
Speaker 1: but it was just thank you, Chloe. But it feels

636
00:28:21,560 --> 00:28:25,320
Speaker 1: like most of the show is just LM rappers now

637
00:28:25,520 --> 00:28:27,440
Speaker 1: and like we can laugh at that and goddamn will

638
00:28:27,520 --> 00:28:29,159
Speaker 1: We've got an hour and a half to cover. But

639
00:28:29,520 --> 00:28:33,040
Speaker 1: it's very worrying because before it was like, oh, there's

640
00:28:33,040 --> 00:28:35,520
Speaker 1: a bunch of Kickstarter shit, Indie Gogo shit. At least

641
00:28:35,520 --> 00:28:38,720
Speaker 1: there was money involved in products. This is like predominantly

642
00:28:38,840 --> 00:28:41,760
Speaker 1: companies that are using an API, and that's like, oh,

643
00:28:42,400 --> 00:28:45,320
Speaker 1: first of all, no differentiation, easily cloned by open ai,

644
00:28:45,440 --> 00:28:49,000
Speaker 1: but also just where's the fucking business, buddy, where is it?

645
00:28:49,800 --> 00:28:50,720
Speaker 5: Where's the product?

646
00:28:50,920 --> 00:28:54,080
Speaker 1: Oh that, don't worry it, There isn't one. It's just

647
00:28:54,840 --> 00:28:56,320
Speaker 1: other than the ones which are like, yeah, we have

648
00:28:56,360 --> 00:28:58,400
Speaker 1: a photonic sensor to put on the top of a

649
00:28:58,440 --> 00:29:01,560
Speaker 1: specific device. I fucking like all of those the industrial

650
00:29:01,600 --> 00:29:03,760
Speaker 1: ones where It's like, for a specific use case that

651
00:29:03,880 --> 00:29:05,920
Speaker 1: they to meet one of eleven people and they meet

652
00:29:05,960 --> 00:29:06,480
Speaker 1: all of them.

653
00:29:06,680 --> 00:29:08,360
Speaker 3: Those are cool, the rest not so much.

654
00:29:08,800 --> 00:29:13,280
Speaker 2: Yeah, I mean, the the what I wind up wondering

655
00:29:13,360 --> 00:29:19,320
Speaker 2: as a pure lay person is is the fact. So sorry,

656
00:29:19,400 --> 00:29:22,520
Speaker 2: let me let me sort of give you what I'm hearing. Yeah,

657
00:29:23,120 --> 00:29:24,960
Speaker 2: it sounds like, and I agree with this from my

658
00:29:25,240 --> 00:29:28,240
Speaker 2: experience on the floor, it sounds like some very high

659
00:29:28,320 --> 00:29:32,400
Speaker 2: preponderance of the offerings at CES this year are functionally

660
00:29:32,720 --> 00:29:35,560
Speaker 2: wrappers around an already developed AI tool.

661
00:29:35,640 --> 00:29:39,360
Speaker 1: Yes, right, there are some interface with chatchip. Right.

662
00:29:39,800 --> 00:29:43,080
Speaker 2: Whether whatever that interface may be an orbit, a pillow,

663
00:29:43,200 --> 00:29:45,720
Speaker 2: an app, or whatever it is, it is the technology

664
00:29:45,720 --> 00:29:47,640
Speaker 2: at the core of it is something that somebody else

665
00:29:47,680 --> 00:29:49,400
Speaker 2: has already made that we are all aware of.

666
00:29:49,520 --> 00:29:50,680
Speaker 1: Yes, So in that.

667
00:29:50,640 --> 00:29:54,840
Speaker 2: Case, if that preponderance is higher this year, is that

668
00:29:55,000 --> 00:30:01,440
Speaker 2: because uh, there are like fewer problems to solve elsewhere,

669
00:30:02,000 --> 00:30:04,960
Speaker 2: fewer like consumer problems to solve elsewhere that we've like

670
00:30:05,240 --> 00:30:08,520
Speaker 2: actually advanced so far in technology that without without these

671
00:30:08,560 --> 00:30:13,160
Speaker 2: rappers for these lms, they would be CS would be

672
00:30:13,160 --> 00:30:15,400
Speaker 2: way smaller. Or is it that everybody has gotten so

673
00:30:15,640 --> 00:30:19,400
Speaker 2: distracted by lms that everybody's gone, well, we can create

674
00:30:19,480 --> 00:30:21,520
Speaker 2: a new interface for this, a new kind of rapper

675
00:30:21,520 --> 00:30:23,600
Speaker 2: for it, and that they've actually like directed their creative

676
00:30:23,680 --> 00:30:26,320
Speaker 2: energies away from solving a lot of other consumer.

677
00:30:26,280 --> 00:30:27,240
Speaker 3: It's all of the above.

678
00:30:27,320 --> 00:30:29,479
Speaker 1: It's andals are approaching the end of the half and hour,

679
00:30:29,520 --> 00:30:32,120
Speaker 1: but I'll wrap this on this. What is is that

680
00:30:32,280 --> 00:30:34,400
Speaker 1: It's that venture capital is pretty much only like fifty

681
00:30:34,400 --> 00:30:37,000
Speaker 1: percent of venge capital went into AI this like last year.

682
00:30:37,080 --> 00:30:40,080
Speaker 1: It's god, there's twenty twenty six now. It's also CS

683
00:30:40,240 --> 00:30:42,520
Speaker 1: usually just is magnetized to whatever trend that was met

684
00:30:42,520 --> 00:30:45,560
Speaker 1: with us. There's two years ago we had an AI

685
00:30:45,640 --> 00:30:48,760
Speaker 1: semen thing, not on that this yeah, no, come, no coming.

686
00:30:49,320 --> 00:30:51,280
Speaker 2: I've never met intelligent semen.

687
00:30:51,920 --> 00:30:53,720
Speaker 3: Apparently there were a few years ago.

688
00:30:53,760 --> 00:30:55,360
Speaker 5: Organically or artificially.

689
00:30:55,600 --> 00:31:02,160
Speaker 2: Okay, men are back, kill all men, kill men, more

690
00:31:02,240 --> 00:31:03,560
Speaker 2: woman on podcasts.

691
00:31:04,240 --> 00:31:06,560
Speaker 3: Honestly, femail. This is gonna eat this up.

692
00:31:07,480 --> 00:31:10,480
Speaker 1: All right, we're gonna rotate. Though we're gonna rotate. Here

693
00:31:10,520 --> 00:31:14,960
Speaker 1: comes an ad that specifically only for woman. It's pink,

694
00:31:28,680 --> 00:31:31,280
Speaker 1: and we're back in the room. Now. We've of course

695
00:31:31,320 --> 00:31:34,720
Speaker 1: got the wonderful Garrison Davis. If it could happen here, Hello,

696
00:31:34,960 --> 00:31:37,320
Speaker 1: and we're back with Chloe Radcliffe, actress of course in

697
00:31:37,400 --> 00:31:41,320
Speaker 1: the movie Is This Thing? On? Stand up comedian, comedian

698
00:31:41,320 --> 00:31:43,480
Speaker 1: and host of the Factually podcast Adam Connover.

699
00:31:43,560 --> 00:31:45,800
Speaker 3: Hello, and we were just talking about l M rappers

700
00:31:45,800 --> 00:31:46,320
Speaker 3: and why.

701
00:31:46,200 --> 00:31:49,400
Speaker 1: Everything is LLLLM this year and AI this year more

702
00:31:49,440 --> 00:31:51,000
Speaker 1: so even than last year, and why there are so

703
00:31:51,040 --> 00:31:53,160
Speaker 1: many things that are just effectively wrapping around the chat

704
00:31:53,200 --> 00:31:57,560
Speaker 1: gpt API and what it is is, Yes, yes, magnetizes

705
00:31:57,600 --> 00:31:59,960
Speaker 1: the trends like it's just it goes wherever the trends are.

706
00:32:00,160 --> 00:32:02,200
Speaker 1: We've had a metaverse and VR and AR and ind

707
00:32:02,440 --> 00:32:06,480
Speaker 1: like twenty fifteen is very indieg go heavy crowdfunding and such.

708
00:32:07,000 --> 00:32:09,640
Speaker 1: But I think it's also the funding thing of where

709
00:32:09,720 --> 00:32:12,960
Speaker 1: venture capital is going. But also it's just fucking easier

710
00:32:12,960 --> 00:32:15,200
Speaker 1: to build a company on top of it. Now people

711
00:32:15,240 --> 00:32:19,000
Speaker 1: will frame this as, oh, it's democratizing building companies. No,

712
00:32:19,080 --> 00:32:22,360
Speaker 1: it's democratizing lazy, fucking assholes building nothing.

713
00:32:22,880 --> 00:32:24,600
Speaker 5: And take that suckers.

714
00:32:24,880 --> 00:32:26,880
Speaker 1: No, it really, it really is, though the sucker is

715
00:32:26,880 --> 00:32:30,320
Speaker 1: being venture capitalists and customers as well, because it's like, yeah,

716
00:32:30,400 --> 00:32:33,800
Speaker 1: I built a company. No you fucking didn't. You built

717
00:32:33,800 --> 00:32:36,280
Speaker 1: something on top of someone else's company, and you're claiming

718
00:32:36,320 --> 00:32:38,560
Speaker 1: it's yours. By the way those API rates are going

719
00:32:38,640 --> 00:32:41,680
Speaker 1: the way, they're too cheap, they don't make sense. But yeah,

720
00:32:41,680 --> 00:32:45,120
Speaker 1: it's just kind of sad because usually you go to CS,

721
00:32:45,160 --> 00:32:47,440
Speaker 1: i'd say forty percent of the stuff will be dead

722
00:32:47,440 --> 00:32:50,080
Speaker 1: in a year. This one is like, if things go

723
00:32:50,120 --> 00:32:54,640
Speaker 1: the way, I'm expecting all of it, like like maybe

724
00:32:54,680 --> 00:32:56,880
Speaker 1: seventy five percent of it to be fair. But like

725
00:32:57,080 --> 00:33:00,840
Speaker 1: every LLM powered thing you're saying about dog.

726
00:33:01,120 --> 00:33:03,760
Speaker 3: Especially the robot dog, because that has.

727
00:33:03,640 --> 00:33:05,600
Speaker 5: Oh, don't kill my robot dog.

728
00:33:05,920 --> 00:33:08,080
Speaker 1: Not how many times we just talk about killing dogs

729
00:33:08,080 --> 00:33:08,560
Speaker 1: on the show.

730
00:33:09,640 --> 00:33:14,000
Speaker 4: Every time that Chloe's on, I actually multiple times I

731
00:33:14,040 --> 00:33:15,800
Speaker 4: have a whole nother product I want to talk about.

732
00:33:16,920 --> 00:33:19,400
Speaker 3: Oh, oh god it is.

733
00:33:19,520 --> 00:33:23,680
Speaker 1: It is about Lane perfectly landed.

734
00:33:23,920 --> 00:33:27,800
Speaker 4: So I wandered into a uh it was like a

735
00:33:27,840 --> 00:33:31,880
Speaker 4: consortium of Internet of Things home products or whatever. And

736
00:33:31,920 --> 00:33:34,240
Speaker 4: the guy recognizes me. He's like, oh, Adam, I like

737
00:33:34,280 --> 00:33:34,600
Speaker 4: your show.

738
00:33:34,720 --> 00:33:34,960
Speaker 2: Great.

739
00:33:35,720 --> 00:33:37,040
Speaker 4: I'm like, what do you got in here? He's like, oh,

740
00:33:37,080 --> 00:33:40,520
Speaker 4: I represented all these different companies. He actually said one

741
00:33:40,560 --> 00:33:42,560
Speaker 4: of the you know when someone like accidentally said something

742
00:33:42,560 --> 00:33:45,280
Speaker 4: that sounds really useful here and he's like this thing

743
00:33:45,320 --> 00:33:47,560
Speaker 4: over here, will detective you left your stove on and

744
00:33:47,560 --> 00:33:51,000
Speaker 4: turn your stove off automatically. I was like, wow, that

745
00:33:51,000 --> 00:33:53,280
Speaker 4: that's great. Who did Why didn't we emit that fifty

746
00:33:53,360 --> 00:33:56,360
Speaker 4: years ago? That seems very obvious as a product. Then

747
00:33:56,400 --> 00:33:58,800
Speaker 4: he's like, over here, we got the smart dog crate.

748
00:34:00,080 --> 00:34:04,479
Speaker 4: Oh yeah, it's like a big like okay, first of all,

749
00:34:04,600 --> 00:34:07,040
Speaker 4: imagine if your dog crate was like a like a

750
00:34:07,080 --> 00:34:08,320
Speaker 4: twitch streamers room.

751
00:34:09,360 --> 00:34:11,279
Speaker 1: We talked about this briefly, but I don't want to know.

752
00:34:11,320 --> 00:34:13,080
Speaker 5: I think this is a different smart dog.

753
00:34:13,600 --> 00:34:16,880
Speaker 1: This doesn't measure the heights of your dog. Uh, that

754
00:34:17,000 --> 00:34:17,840
Speaker 1: was the one, you know.

755
00:34:17,880 --> 00:34:19,080
Speaker 5: I think it's different because the one that I was

756
00:34:19,080 --> 00:34:19,400
Speaker 5: looking at.

757
00:34:19,560 --> 00:34:21,600
Speaker 2: So so, just to catch you up the short this

758
00:34:21,640 --> 00:34:24,920
Speaker 2: is one sentence overview. There's a little crate that measures

759
00:34:24,920 --> 00:34:28,040
Speaker 2: your dog's breathing rate, your heart rate, and the height

760
00:34:28,120 --> 00:34:29,919
Speaker 2: distance between the top of the crate and the top

761
00:34:29,960 --> 00:34:30,399
Speaker 2: of the dog.

762
00:34:31,000 --> 00:34:32,399
Speaker 5: And I said, why do we need that?

763
00:34:32,480 --> 00:34:34,359
Speaker 2: And the guy said, because if it if the number

764
00:34:34,360 --> 00:34:36,040
Speaker 2: doesn't change for a while, maybe the dog has died.

765
00:34:36,080 --> 00:34:40,959
Speaker 5: And I said, but but wouldn't you.

766
00:34:40,880 --> 00:34:44,080
Speaker 2: Know that from the other numbers by looking?

767
00:34:47,760 --> 00:34:50,720
Speaker 4: Oh god, the idea of the distance from the ceiling

768
00:34:50,719 --> 00:34:52,760
Speaker 4: to the dog has not changed in three days.

769
00:34:53,800 --> 00:34:56,720
Speaker 1: Something is wrong, it's different.

770
00:34:56,800 --> 00:34:58,439
Speaker 5: Yeah, yeah, yeah, I said.

771
00:34:58,480 --> 00:35:02,000
Speaker 2: I told my my boyfriend Stewart last night about about

772
00:35:02,000 --> 00:35:04,479
Speaker 2: the dog grate that I saw, and he was like, well,

773
00:35:04,640 --> 00:35:09,239
Speaker 2: you want to avoid the terrifying case of your dog shrinking.

774
00:35:10,080 --> 00:35:11,680
Speaker 5: Or worse, getting bigger.

775
00:35:12,680 --> 00:35:15,239
Speaker 1: It's like, my dog is not in a perpetual state.

776
00:35:15,400 --> 00:35:19,480
Speaker 1: It's like my dog varies sometimes. Yeah, so adam one

777
00:35:19,840 --> 00:35:22,520
Speaker 1: a different one, tweet stream a different one.

778
00:35:22,600 --> 00:35:26,239
Speaker 4: Yes. It had, among other things, had an iPad in

779
00:35:26,280 --> 00:35:28,560
Speaker 4: the dog create so you could show your dog videos,

780
00:35:29,000 --> 00:35:32,680
Speaker 4: video chat with your dog. It had like a privacy

781
00:35:32,800 --> 00:35:35,480
Speaker 4: screen that would open and close, like glass that you

782
00:35:35,480 --> 00:35:37,200
Speaker 4: could remotely open and close, and then.

783
00:35:37,120 --> 00:35:40,280
Speaker 2: Your dog try on new outfits.

784
00:35:41,320 --> 00:35:43,279
Speaker 3: Your dog wants to pretend it's in a limo.

785
00:35:43,320 --> 00:35:46,279
Speaker 4: Yeah, yep, yep, or like if you were, you know,

786
00:35:46,360 --> 00:35:49,560
Speaker 4: had your dog in some sort of like prison visitation situation.

787
00:35:50,600 --> 00:35:51,279
Speaker 4: It was like, if you.

788
00:35:51,280 --> 00:35:53,080
Speaker 1: Don't want strangers to see your dog's.

789
00:35:52,760 --> 00:35:55,880
Speaker 4: Dick, this is the thing I vaguely knew already.

790
00:35:55,520 --> 00:35:56,319
Speaker 3: Existed, but.

791
00:35:58,040 --> 00:36:00,320
Speaker 5: I want my dog to be modest.

792
00:36:00,640 --> 00:36:02,719
Speaker 4: They said, it was, you know, he was like some

793
00:36:02,760 --> 00:36:04,640
Speaker 4: people put a blanket over the crate, but now you

794
00:36:04,680 --> 00:36:06,640
Speaker 4: don't have to do that. And again it's one of

795
00:36:06,680 --> 00:36:08,480
Speaker 4: those things where it's like, yeah, what was the problem

796
00:36:08,480 --> 00:36:09,319
Speaker 4: with the blanket over the.

797
00:36:09,239 --> 00:36:10,960
Speaker 2: Carry and also the blanket of the crate is to

798
00:36:11,000 --> 00:36:12,840
Speaker 2: make the dog think, is to make the dog go

799
00:36:12,920 --> 00:36:13,320
Speaker 2: to sleep.

800
00:36:13,400 --> 00:36:18,480
Speaker 1: Yeah, it's to say it's nighttime now, not uh Yeah.

801
00:36:19,000 --> 00:36:22,799
Speaker 4: They called it privacy screen, and it was cool, like

802
00:36:22,840 --> 00:36:25,160
Speaker 4: I was aware this already existed, like a pane of

803
00:36:25,200 --> 00:36:27,360
Speaker 4: glass that if you like run a current through it,

804
00:36:27,360 --> 00:36:30,720
Speaker 4: it suddenly turns opaque or something. And that was cool

805
00:36:30,800 --> 00:36:33,120
Speaker 4: to see go even though I knew it already existed.

806
00:36:33,400 --> 00:36:36,560
Speaker 4: But then a big part of it was like, if

807
00:36:36,680 --> 00:36:39,719
Speaker 4: you are at home and your smoke alarms go off

808
00:36:39,760 --> 00:36:41,759
Speaker 4: and your house is on fire, you can open the

809
00:36:41,800 --> 00:36:44,080
Speaker 4: door of the crate automatically so the dog can run

810
00:36:44,120 --> 00:36:46,440
Speaker 4: away from the fire, or if you're on your way

811
00:36:46,480 --> 00:36:47,759
Speaker 4: home when you want to let the dog out a

812
00:36:47,760 --> 00:36:50,640
Speaker 4: little early. And the thing in my mind is, I'm like,

813
00:36:50,719 --> 00:36:52,560
Speaker 4: who's who's crating their dog?

814
00:36:52,640 --> 00:36:52,719
Speaker 8: This?

815
00:36:52,880 --> 00:36:55,480
Speaker 4: Much like use when your dog's a puppy.

816
00:36:55,520 --> 00:36:57,839
Speaker 1: Maybe yeah, you're trading a dog to stain in the

817
00:36:57,840 --> 00:36:59,959
Speaker 1: crate and be happy in it. And the whole point

818
00:37:00,080 --> 00:37:03,000
Speaker 1: is that it can't leave, like you kind of like

819
00:37:03,120 --> 00:37:05,920
Speaker 1: train it to like the crate, Like, why would you

820
00:37:05,960 --> 00:37:07,640
Speaker 1: let it I guess if you let it out early out.

821
00:37:07,920 --> 00:37:10,200
Speaker 2: The whole point of a dog is that it knows routine,

822
00:37:10,600 --> 00:37:12,520
Speaker 2: as everybody knows the point of a dog, the.

823
00:37:12,480 --> 00:37:13,200
Speaker 5: Points of a dog.

824
00:37:13,400 --> 00:37:17,560
Speaker 2: The point of a dog is maximal efficiency is optimize

825
00:37:17,600 --> 00:37:21,799
Speaker 2: your dog dog. But if you let the dog out,

826
00:37:21,880 --> 00:37:24,600
Speaker 2: if you open the dog crate early, and the dog

827
00:37:24,680 --> 00:37:27,080
Speaker 2: has no way of predicting when you're going to open the.

828
00:37:27,040 --> 00:37:29,680
Speaker 1: Crate remotely and you will not there and you're not.

829
00:37:29,719 --> 00:37:31,799
Speaker 2: There, Like I feel like if you have a dog

830
00:37:31,840 --> 00:37:33,000
Speaker 2: created while you're gone, because I.

831
00:37:33,160 --> 00:37:34,600
Speaker 1: Do know people who are, like, there are tons of

832
00:37:34,640 --> 00:37:35,040
Speaker 1: people who do.

833
00:37:35,360 --> 00:37:40,640
Speaker 2: Yeah, and do you know it's whatever, whatever judgment decide

834
00:37:40,680 --> 00:37:42,520
Speaker 2: about whether you should have your dog in the crate

835
00:37:42,560 --> 00:37:45,120
Speaker 2: that much or not. Totally setting that aside, just dealing

836
00:37:45,160 --> 00:37:47,960
Speaker 2: with the reality of there are people who do. If

837
00:37:48,000 --> 00:37:50,280
Speaker 2: you drive home and the dog hears the garage door opening,

838
00:37:50,320 --> 00:37:52,160
Speaker 2: or the dog here's the front door opening or whatever,

839
00:37:52,239 --> 00:37:53,879
Speaker 2: then the dog gets to be excited because the crate

840
00:37:53,920 --> 00:37:56,640
Speaker 2: is about to open. But if you're just randomly opening it,

841
00:37:56,640 --> 00:37:57,920
Speaker 2: it's like, do you know those Do you know that

842
00:37:58,440 --> 00:38:01,279
Speaker 2: experiment with rats where they like shocked them where they

843
00:38:01,320 --> 00:38:02,000
Speaker 2: played they.

844
00:38:01,880 --> 00:38:04,520
Speaker 1: Played that's azz that's was that the one where they

845
00:38:04,560 --> 00:38:05,239
Speaker 1: shocked the dog.

846
00:38:05,960 --> 00:38:07,640
Speaker 2: I think I know they had one with skins that

847
00:38:07,680 --> 00:38:10,600
Speaker 2: I'm thinking of where it was where they like play

848
00:38:10,640 --> 00:38:13,640
Speaker 2: a beep and then shock the rat. And those rats

849
00:38:13,680 --> 00:38:17,160
Speaker 2: survived like two or three times longer than where they

850
00:38:17,239 --> 00:38:21,040
Speaker 2: where they just randomly shocked without the beep, because the

851
00:38:21,160 --> 00:38:24,080
Speaker 2: rats who didn't have the beep were so anxious the

852
00:38:24,239 --> 00:38:26,480
Speaker 2: entire time, were so stressed because they didn't know when

853
00:38:26,520 --> 00:38:28,919
Speaker 2: the shock was coming, Whereas when they knew it's it's

854
00:38:29,000 --> 00:38:31,200
Speaker 2: right after the beep, they could prepare for it for

855
00:38:31,239 --> 00:38:33,319
Speaker 2: the second between the beep and the shock. And I

856
00:38:33,320 --> 00:38:35,040
Speaker 2: feel like that's what you're doing to your dog if

857
00:38:35,040 --> 00:38:35,640
Speaker 2: the dog's just.

858
00:38:35,600 --> 00:38:39,080
Speaker 1: Like this door could open at any moment. Could a

859
00:38:39,120 --> 00:38:40,120
Speaker 1: person fit in this thing?

860
00:38:41,239 --> 00:38:42,560
Speaker 5: Okay?

861
00:38:41,920 --> 00:38:44,360
Speaker 1: Well no, we're talked about the things. You got an

862
00:38:44,400 --> 00:38:46,440
Speaker 1: iPad on the it was like a weird streamer. I've

863
00:38:46,440 --> 00:38:49,239
Speaker 1: got a few furry listens. Yeah, I definitely know. No,

864
00:38:49,360 --> 00:38:53,520
Speaker 1: That's why I'm like the if the yiff maxes, yes,

865
00:38:53,760 --> 00:38:56,200
Speaker 1: there's gonna be one person new emails saying they love that,

866
00:38:56,280 --> 00:38:57,799
Speaker 1: and another that threatens to kill me.

867
00:38:57,840 --> 00:38:58,600
Speaker 3: It's gonna be great.

868
00:38:59,360 --> 00:39:01,640
Speaker 4: It was kind of charming, It wasn't that to your point,

869
00:39:01,680 --> 00:39:03,480
Speaker 4: cluy I think if you were a dog and you're

870
00:39:03,480 --> 00:39:06,000
Speaker 4: like in the crate all day and then suddenly the

871
00:39:06,080 --> 00:39:10,000
Speaker 4: door just like silently swings open, yeah, I'd be like, oh,

872
00:39:10,080 --> 00:39:13,319
Speaker 4: humanity is gone. They've died, and I've been released from

873
00:39:13,320 --> 00:39:15,520
Speaker 4: my I'm in like a twenty eight days later situation.

874
00:39:15,719 --> 00:39:17,440
Speaker 3: Yeah, like it's the beginning of.

875
00:39:17,360 --> 00:39:18,760
Speaker 5: The movie and have to eat my owner.

876
00:39:20,400 --> 00:39:22,080
Speaker 3: You just come back with dog fucking kills.

877
00:39:22,080 --> 00:39:23,680
Speaker 4: It's too ominous, all right?

878
00:39:23,760 --> 00:39:24,920
Speaker 3: Yeah, what have you seen today?

879
00:39:26,080 --> 00:39:26,360
Speaker 5: Today?

880
00:39:26,360 --> 00:39:28,480
Speaker 8: I've been to once again, more Panels. I went home

881
00:39:28,520 --> 00:39:31,560
Speaker 8: the Panasonic booth ones. Actually I would I would prefer

882
00:39:31,800 --> 00:39:34,960
Speaker 8: to go over your favorite part of Cees what you mean,

883
00:39:35,080 --> 00:39:36,360
Speaker 8: which is showstoppers.

884
00:39:36,600 --> 00:39:38,960
Speaker 3: Yes, showstoppers who have made war with me.

885
00:39:39,200 --> 00:39:42,120
Speaker 1: Yeah, because I work at a PR firm, They've decided

886
00:39:42,160 --> 00:39:45,560
Speaker 1: I cannot go very unfair, very nasty. So if you

887
00:39:45,600 --> 00:39:48,839
Speaker 1: ever go to showstoppers, my my request is you eat

888
00:39:48,880 --> 00:39:50,799
Speaker 1: a lot of horrible food. I want you to op

889
00:39:50,800 --> 00:39:52,600
Speaker 1: a deck every toilet in that place, and we turn

890
00:39:52,680 --> 00:39:54,400
Speaker 1: this into the most icly cantina.

891
00:39:55,120 --> 00:39:56,160
Speaker 5: I got it.

892
00:39:56,200 --> 00:39:58,920
Speaker 4: I like when that accident comes out, what is that

893
00:39:58,960 --> 00:40:00,320
Speaker 4: specifically with the cos.

894
00:40:02,880 --> 00:40:05,680
Speaker 1: Yeah, it was like it's west, it's West London. It's

895
00:40:05,680 --> 00:40:08,600
Speaker 1: West West London. Yeah, it goes between my pulshvaxcent in

896
00:40:08,640 --> 00:40:09,680
Speaker 1: the West London.

897
00:40:09,440 --> 00:40:11,439
Speaker 4: And it's all in the consonants like they're tight.

898
00:40:11,560 --> 00:40:14,279
Speaker 1: Yeah yeah, yeah, yeah, it's there. There's something wrong with me.

899
00:40:14,920 --> 00:40:17,120
Speaker 1: Tell me about the about host Stoppers.

900
00:40:17,440 --> 00:40:19,560
Speaker 8: It was the worst Showstoppers I've been to in a

901
00:40:19,560 --> 00:40:22,560
Speaker 8: few years, which I'm honestly I'm saddened to say, Like

902
00:40:21,640 --> 00:40:25,200
Speaker 8: I usually kind of look forward to Showstoppers.

903
00:40:24,640 --> 00:40:26,719
Speaker 1: And could I request on one to two sentence overview of.

904
00:40:26,640 --> 00:40:27,560
Speaker 3: What shost Stoppers is.

905
00:40:27,880 --> 00:40:32,360
Speaker 8: Showstoppers is a media event for journalists where a bunch

906
00:40:32,400 --> 00:40:35,800
Speaker 8: of products, usually from like Eureka Park, usually like the Ces,

907
00:40:35,920 --> 00:40:40,600
Speaker 8: like innovation type products have boots in a ballroom in

908
00:40:40,640 --> 00:40:43,440
Speaker 8: the Blagio and there's food and drinks and in journalist

909
00:40:43,760 --> 00:40:45,440
Speaker 8: we'll walk through and you can talk to you know,

910
00:40:45,480 --> 00:40:49,239
Speaker 8: people from these companies. It's it's it's like another condensed

911
00:40:49,440 --> 00:40:51,920
Speaker 8: version of like the Show, all in like one room

912
00:40:52,000 --> 00:40:55,680
Speaker 8: and it's like every Tuesday night and ces and is.

913
00:40:55,600 --> 00:41:00,000
Speaker 2: There uh uh who gets to be there?

914
00:41:00,120 --> 00:41:00,560
Speaker 1: Not that?

915
00:41:00,680 --> 00:41:02,040
Speaker 5: No, no, no, not who gets to look.

916
00:41:01,880 --> 00:41:02,319
Speaker 1: You have to pay?

917
00:41:02,360 --> 00:41:03,879
Speaker 3: Who gets to show like exhibitors?

918
00:41:04,120 --> 00:41:05,399
Speaker 1: Who gets to stop the show?

919
00:41:05,760 --> 00:41:07,600
Speaker 2: But I guess what I'm saying is like, can you

920
00:41:07,760 --> 00:41:10,120
Speaker 2: just pay enough and be one of those exhibitors? Like

921
00:41:10,160 --> 00:41:14,200
Speaker 2: it just it's it's not like nobody's picked its, like

922
00:41:14,239 --> 00:41:15,560
Speaker 2: we think these are actually the best.

923
00:41:15,920 --> 00:41:19,440
Speaker 1: Degree of that, and that's something that's outright fraudulent. They

924
00:41:19,480 --> 00:41:21,239
Speaker 1: would probably say no to, but probably not.

925
00:41:21,280 --> 00:41:23,680
Speaker 8: Yeah, because there's there's not much space and so they

926
00:41:23,960 --> 00:41:25,920
Speaker 8: kind of defer to to people who want like to

927
00:41:25,960 --> 00:41:28,640
Speaker 8: see Yes, Innovation Awards every year.

928
00:41:29,080 --> 00:41:31,160
Speaker 1: So you got there was like a few of those boots.

929
00:41:31,200 --> 00:41:33,040
Speaker 1: But what was almost made about it? What was not?

930
00:41:33,160 --> 00:41:34,160
Speaker 5: What it was?

931
00:41:34,440 --> 00:41:37,080
Speaker 8: They changed venues, It was in a much smaller ballroom

932
00:41:37,239 --> 00:41:41,120
Speaker 8: than the Terrible in the past few years. Yeah, and

933
00:41:41,600 --> 00:41:44,799
Speaker 8: I would say about forty to percent of the show

934
00:41:44,880 --> 00:41:49,479
Speaker 8: floor was once again your favorite product, smart glasses. So

935
00:41:49,520 --> 00:41:54,600
Speaker 8: many smart glasses boots. Interesting, there was like three three

936
00:41:54,640 --> 00:41:58,640
Speaker 8: like regular smart glasses, all all the back ended via

937
00:41:58,800 --> 00:42:01,520
Speaker 8: lms like the auto translation glasses.

938
00:42:01,560 --> 00:42:02,960
Speaker 3: I tried on.

939
00:42:02,960 --> 00:42:05,680
Speaker 8: One was a sound translation where they like have speakers

940
00:42:05,719 --> 00:42:08,839
Speaker 8: in the arm that they were running that translation through

941
00:42:08,880 --> 00:42:12,560
Speaker 8: Microsoft's AI. They had another like a backup translation that

942
00:42:12,560 --> 00:42:15,960
Speaker 8: you could run through chat GPT's I did a.

943
00:42:16,239 --> 00:42:21,400
Speaker 1: That's funny because Microsoft is powered by GPT. This is

944
00:42:22,200 --> 00:42:24,439
Speaker 1: I'm noting with the guys. I'm saying you're wrong. I'm

945
00:42:24,480 --> 00:42:27,920
Speaker 1: just like, that's just like classic ces brain. It's just

946
00:42:27,960 --> 00:42:30,760
Speaker 1: like what it runs through chat GPT or chat GPT

947
00:42:30,880 --> 00:42:31,920
Speaker 1: with the.

948
00:42:31,640 --> 00:42:35,719
Speaker 8: Other the other ones which were like the visual visual

949
00:42:35,719 --> 00:42:37,880
Speaker 8: translations as well as like navigation, like they hook up

950
00:42:37,880 --> 00:42:40,359
Speaker 8: to Google Maps so they can do do that sort

951
00:42:40,400 --> 00:42:44,960
Speaker 8: of thing if you're like biking. But the big ones

952
00:42:44,960 --> 00:42:50,520
Speaker 8: were the ro Kid glasses, the crowd funded AI smart glasses.

953
00:42:51,600 --> 00:42:54,480
Speaker 8: They worked better than the sound ones. The sound only

954
00:42:54,520 --> 00:42:58,399
Speaker 8: ones worked but with a pretty significant delay, so long

955
00:42:58,440 --> 00:43:03,320
Speaker 8: a ten seconds jesus, so you can't have a conversation

956
00:43:03,400 --> 00:43:06,080
Speaker 8: with them. They were prettier. They were they look like

957
00:43:06,120 --> 00:43:08,600
Speaker 8: normal glasses. The wealthy glasses are a little bit more

958
00:43:08,680 --> 00:43:12,319
Speaker 8: obvious that they're smart glasses. But the translations faster. It's

959
00:43:12,360 --> 00:43:14,360
Speaker 8: obviously it's hard to have eye contact with someone in

960
00:43:14,360 --> 00:43:17,319
Speaker 8: a conversation when you're text You have like the kind

961
00:43:17,360 --> 00:43:21,279
Speaker 8: of like blurry like hologram text. But as long as

962
00:43:21,280 --> 00:43:24,279
Speaker 8: you can focus your always multitask, it's like okay that

963
00:43:24,320 --> 00:43:27,359
Speaker 8: that one runs through TRAT GPT. I there's a two

964
00:43:27,480 --> 00:43:31,840
Speaker 8: different like in ear like earbuds which listen to and

965
00:43:31,920 --> 00:43:36,960
Speaker 8: transcribe conversation also run through TRAT GPT. The worst part

966
00:43:37,000 --> 00:43:40,040
Speaker 8: about those though that they were they worked really well

967
00:43:40,080 --> 00:43:42,080
Speaker 8: and you could like whisper. Then that that was the

968
00:43:42,080 --> 00:43:43,920
Speaker 8: main fixed that was that was the main feature. It

969
00:43:43,960 --> 00:43:47,520
Speaker 8: was like auto auto dictation if you like whispers even

970
00:43:47,600 --> 00:43:48,600
Speaker 8: like a loud showroom.

971
00:43:48,840 --> 00:43:49,840
Speaker 1: Yeah, yeah, that's so.

972
00:43:50,080 --> 00:43:52,319
Speaker 8: Even even in like a loud showroom, the person who

973
00:43:52,360 --> 00:43:54,400
Speaker 8: had it on could like whisper something.

974
00:43:54,800 --> 00:43:54,960
Speaker 3: Uh.

975
00:43:55,520 --> 00:43:57,720
Speaker 8: I could not hear it standing like two feet away,

976
00:43:57,719 --> 00:43:59,600
Speaker 8: but it was like it was perfectly transcribed and I

977
00:43:59,600 --> 00:44:02,799
Speaker 8: could like actually like via like reading lips and it

978
00:44:02,880 --> 00:44:03,200
Speaker 8: was good.

979
00:44:03,520 --> 00:44:06,360
Speaker 2: But and is this sorry hold on, this is a

980
00:44:06,719 --> 00:44:09,160
Speaker 2: translation through language and transcription.

981
00:44:09,280 --> 00:44:10,640
Speaker 1: It does both and this is at.

982
00:44:11,480 --> 00:44:13,960
Speaker 8: These were basically basically like like yeah, like like a

983
00:44:13,960 --> 00:44:20,480
Speaker 8: AirPod style cool, But the dictation feature is a subscription model.

984
00:44:20,840 --> 00:44:23,520
Speaker 1: You have debate to keep using it, and it's powered

985
00:44:23,520 --> 00:44:24,600
Speaker 1: by GPT and all and.

986
00:44:24,560 --> 00:44:27,239
Speaker 8: It's also powered by GPT, so there was a few

987
00:44:27,280 --> 00:44:30,640
Speaker 8: things like that. Uh, there was smart like swim goggles.

988
00:44:30,640 --> 00:44:32,840
Speaker 8: There was smart like ski goggles by goggles.

989
00:44:32,880 --> 00:44:34,520
Speaker 3: Long questions just with the previous ones.

990
00:44:34,560 --> 00:44:37,279
Speaker 1: Sorry, so you need a subscription, but do you need

991
00:44:37,280 --> 00:44:40,480
Speaker 1: an internet connection as well? Oh I didn't ask that.

992
00:44:40,480 --> 00:44:43,120
Speaker 1: That's because it must connect to your phone or something,

993
00:44:43,120 --> 00:44:45,680
Speaker 1: which is just like because yeah, yeah, yeah yeah, because

994
00:44:45,760 --> 00:44:47,680
Speaker 1: like ostensibly, if you're.

995
00:44:47,520 --> 00:44:49,800
Speaker 8: The dictation needs the phone because you see the dictation

996
00:44:49,960 --> 00:44:52,359
Speaker 8: like getting updated on your ves so bad, they're gonna

997
00:44:52,360 --> 00:44:53,880
Speaker 8: it's it's gonna be sync to your mobile device, but.

998
00:44:53,880 --> 00:44:55,640
Speaker 1: You'd want that anyway. That one's not so bad. But

999
00:44:55,640 --> 00:44:58,600
Speaker 1: the translation ones, it's like, if you're in a foreign country,

1000
00:44:58,600 --> 00:45:00,120
Speaker 1: you can't necessarily.

1001
00:44:59,680 --> 00:45:00,840
Speaker 3: Rely like the situation.

1002
00:45:01,160 --> 00:45:03,759
Speaker 1: The situations you need translation will probably not be in

1003
00:45:03,800 --> 00:45:07,680
Speaker 1: a major metropolitan area because depending on the country, and

1004
00:45:07,880 --> 00:45:10,719
Speaker 1: if it's a country where is Maltinarian, it doesn't have

1005
00:45:10,880 --> 00:45:13,440
Speaker 1: this translation. The cell service might not be good, You're

1006
00:45:13,440 --> 00:45:14,319
Speaker 1: not might not.

1007
00:45:14,520 --> 00:45:16,799
Speaker 2: It's just also the idea of walking up to a

1008
00:45:16,840 --> 00:45:20,719
Speaker 2: person who doesn't speak English, who speaks like literally so

1009
00:45:20,880 --> 00:45:24,359
Speaker 2: much zero so zero of English that you can't yeah,

1010
00:45:24,400 --> 00:45:27,880
Speaker 2: you can't converse model through and being like hold on

1011
00:45:28,000 --> 00:45:31,520
Speaker 2: let me put in my thousand dollars machine into my head.

1012
00:45:31,640 --> 00:45:34,120
Speaker 1: That is going to make me be able to talk

1013
00:45:34,200 --> 00:45:37,360
Speaker 1: to I mean a lot of the glasses.

1014
00:45:37,400 --> 00:45:39,080
Speaker 8: At least it's for like putting on so you can

1015
00:45:39,520 --> 00:45:41,799
Speaker 8: hear people like around you, which isn't too bad. It's

1016
00:45:41,800 --> 00:45:44,440
Speaker 8: not necessarily even for conversation, but at least at least

1017
00:45:44,480 --> 00:45:46,440
Speaker 8: you can, like you can hear someone speaking.

1018
00:45:46,560 --> 00:45:48,680
Speaker 1: You catch the leaves drop so that these people who

1019
00:45:48,680 --> 00:45:50,000
Speaker 1: are specifically.

1020
00:45:49,520 --> 00:45:52,000
Speaker 2: Who have switched to a foreign language, specifically so that

1021
00:45:52,080 --> 00:45:53,480
Speaker 2: you won't understand what they're saying.

1022
00:45:53,520 --> 00:45:55,160
Speaker 1: This is what my did. No, it was really funny

1023
00:45:55,160 --> 00:45:56,560
Speaker 1: when I was a kid and my parents used to

1024
00:45:56,560 --> 00:45:59,160
Speaker 1: speak in French in front of my brother and I

1025
00:45:59,320 --> 00:46:02,040
Speaker 1: to try and avoid us hearing what we didn't tell

1026
00:46:02,080 --> 00:46:02,960
Speaker 1: them for fucking years.

1027
00:46:03,000 --> 00:46:05,840
Speaker 3: We could understand then, we could completely understand.

1028
00:46:05,400 --> 00:46:07,760
Speaker 5: What they're doing is teaching you frendship.

1029
00:46:07,640 --> 00:46:08,680
Speaker 3: No, I No.

1030
00:46:08,719 --> 00:46:10,600
Speaker 1: We were just listening to work out why that, Like

1031
00:46:10,680 --> 00:46:12,680
Speaker 1: we're like how long we were going to stay places,

1032
00:46:12,760 --> 00:46:13,960
Speaker 1: or if there was something we were going to do

1033
00:46:14,000 --> 00:46:15,839
Speaker 1: we didn't want to do. And then eventually I think

1034
00:46:15,840 --> 00:46:17,600
Speaker 1: one of us like laughed at something they said. It

1035
00:46:17,640 --> 00:46:21,560
Speaker 1: was like ship, God, damn it years of the scam.

1036
00:46:21,920 --> 00:46:24,680
Speaker 8: Okay, it's kind of useful if you are someone who

1037
00:46:24,719 --> 00:46:27,960
Speaker 8: only speaks English talking is talking to someone who's speaking

1038
00:46:28,000 --> 00:46:31,000
Speaker 8: another language but can like understand English but maybe maybe

1039
00:46:31,080 --> 00:46:32,080
Speaker 8: can't speak.

1040
00:46:31,800 --> 00:46:32,680
Speaker 1: It very right, I do.

1041
00:46:32,760 --> 00:46:33,760
Speaker 5: Actually that's a translation.

1042
00:46:33,960 --> 00:46:35,000
Speaker 1: That's like the main case.

1043
00:46:35,400 --> 00:46:37,600
Speaker 4: There's stuff like this has been normalized a little bit too,

1044
00:46:37,640 --> 00:46:40,400
Speaker 4: Like I've got to plenty of hotels where there's someone

1045
00:46:40,440 --> 00:46:42,960
Speaker 4: from mainland China trying to check into the hotel and

1046
00:46:42,960 --> 00:46:45,839
Speaker 4: they're using the translation thing. It's like and then they

1047
00:46:45,840 --> 00:46:48,600
Speaker 4: show the phone, yes, and like that'll get more refined,

1048
00:46:48,719 --> 00:46:50,719
Speaker 4: and I don't know, it seems to me like translation

1049
00:46:50,880 --> 00:46:53,120
Speaker 4: is one of the few things that like I was

1050
00:46:53,120 --> 00:46:55,759
Speaker 4: about to say, this really good for like it is

1051
00:46:55,800 --> 00:46:57,040
Speaker 4: an improvement.

1052
00:46:56,640 --> 00:47:00,719
Speaker 2: Yes, yeah, totally, and like it is. It is a

1053
00:47:00,760 --> 00:47:03,600
Speaker 2: positive use case. It is a like non harmful at

1054
00:47:03,680 --> 00:47:07,520
Speaker 2: least broadly non harmful use case. I've always imagining the

1055
00:47:07,640 --> 00:47:10,600
Speaker 2: setting though, like when you're in the you know, the

1056
00:47:10,719 --> 00:47:13,960
Speaker 2: rural Uzbek mountains and you're trying to communicate with it,

1057
00:47:14,040 --> 00:47:16,520
Speaker 2: Like I'm trying to watch the setting where you have

1058
00:47:16,600 --> 00:47:19,080
Speaker 2: no WiFi, but you're like trying to use these earbuds

1059
00:47:19,080 --> 00:47:21,879
Speaker 2: which just feels like a you know, a set piece

1060
00:47:21,920 --> 00:47:22,400
Speaker 2: in a movie.

1061
00:47:22,520 --> 00:47:24,520
Speaker 8: So like, although some of these things kind of like

1062
00:47:24,719 --> 00:47:26,600
Speaker 8: works to some degree, the audio one is a little

1063
00:47:26,600 --> 00:47:28,680
Speaker 8: bit slower. Like these are all stuff I've tried on

1064
00:47:28,719 --> 00:47:30,680
Speaker 8: at c yes before. Like I was gonna say, I

1065
00:47:30,760 --> 00:47:32,600
Speaker 8: feel like we had this conversation last year. We've had

1066
00:47:32,600 --> 00:47:35,319
Speaker 8: the exact exact conversation before. Like, these are not new

1067
00:47:35,880 --> 00:47:38,240
Speaker 8: and this was this was it like forty to fifty

1068
00:47:38,239 --> 00:47:41,319
Speaker 8: percent of the show floor at Showstoppers was just these

1069
00:47:41,680 --> 00:47:44,239
Speaker 8: was like this genre of product, right. The only new

1070
00:47:44,280 --> 00:47:46,960
Speaker 8: thing is that they put like these smart glasses technology

1071
00:47:46,960 --> 00:47:50,879
Speaker 8: and like ski goggles, like swim goggles, scuba goggles, so

1072
00:47:50,960 --> 00:47:52,799
Speaker 8: you can have like a you know, headsep view if

1073
00:47:52,800 --> 00:47:54,640
Speaker 8: you're wearing a scuba goggles.

1074
00:47:54,719 --> 00:47:57,200
Speaker 1: Like that's like a new ish. I guess I.

1075
00:47:57,120 --> 00:47:58,600
Speaker 5: Feel like, why do you want a headset view?

1076
00:47:59,080 --> 00:48:03,680
Speaker 8: You know, maybe maybe you need to play a app

1077
00:48:03,760 --> 00:48:05,280
Speaker 8: with gesture controls because.

1078
00:48:05,840 --> 00:48:08,319
Speaker 4: You saw the Terminator forty years ago and you're like,

1079
00:48:08,760 --> 00:48:11,359
Speaker 4: it would be cool to see text on my eyes.

1080
00:48:11,960 --> 00:48:13,880
Speaker 8: Look as pretty as it is to scuba dive. You

1081
00:48:13,920 --> 00:48:16,040
Speaker 8: could also be watching Instagram reels at the same time.

1082
00:48:17,200 --> 00:48:21,400
Speaker 1: Yeah, like brain row as you're looking at beautiful tropical fish.

1083
00:48:21,520 --> 00:48:22,320
Speaker 1: Jesus Christ.

1084
00:48:22,920 --> 00:48:24,839
Speaker 2: You're like, hey, do you like to swim laps because

1085
00:48:24,880 --> 00:48:27,040
Speaker 2: it's the one place that you cannot bring your phone.

1086
00:48:27,280 --> 00:48:29,200
Speaker 1: Yeah, we got the solution for you.

1087
00:48:29,400 --> 00:48:31,200
Speaker 4: The whole thing about the phone is that you can

1088
00:48:31,239 --> 00:48:33,440
Speaker 4: look away from it. Yeah. Like, to me, the main

1089
00:48:34,280 --> 00:48:39,880
Speaker 4: reason VR didn't catch up is because like when I

1090
00:48:39,880 --> 00:48:42,000
Speaker 4: would play a VR game, I would, you know, sometimes

1091
00:48:42,040 --> 00:48:44,359
Speaker 4: I would enjoy them, but after like twenty minutes, I'd

1092
00:48:44,360 --> 00:48:46,239
Speaker 4: be like, what if my house is on fire? What

1093
00:48:46,719 --> 00:48:48,960
Speaker 4: if somebody needs me? And then I take the thing off,

1094
00:48:49,000 --> 00:48:50,960
Speaker 4: and then it's such a big phase change you don't

1095
00:48:50,960 --> 00:48:52,880
Speaker 4: want to go back into it. And just the ability

1096
00:48:52,920 --> 00:48:55,759
Speaker 4: to glance away from stuff is so important, and I

1097
00:48:55,880 --> 00:48:57,759
Speaker 4: just feel like, I don't know, heads up display I

1098
00:48:57,800 --> 00:49:00,480
Speaker 4: don't want for that reason, and it fits the thing.

1099
00:49:00,719 --> 00:49:03,880
Speaker 4: I've really been struck by how many people I've been walking.

1100
00:49:03,960 --> 00:49:05,680
Speaker 4: If you look at the way people are using their

1101
00:49:05,719 --> 00:49:08,080
Speaker 4: phones at this thing, everybody is on their phones all

1102
00:49:08,080 --> 00:49:11,040
Speaker 4: the time. They're just they're in like hunched over phone position,

1103
00:49:11,120 --> 00:49:13,840
Speaker 4: you know, like like elbows on knees looking at the phone,

1104
00:49:14,239 --> 00:49:16,680
Speaker 4: And I'm like, I don't see any of these companies

1105
00:49:16,760 --> 00:49:20,959
Speaker 4: unseating Apple and Android, like it's we have the here,

1106
00:49:21,120 --> 00:49:22,840
Speaker 4: this is where the AI is happening.

1107
00:49:22,880 --> 00:49:24,160
Speaker 3: This is where all that you can leave.

1108
00:49:24,239 --> 00:49:26,000
Speaker 4: We've done it. I don't think even happening.

1109
00:49:26,040 --> 00:49:28,200
Speaker 8: Now you can do it, John, Like I was just

1110
00:49:28,239 --> 00:49:30,279
Speaker 8: in Japan and you can do translation on your phone.

1111
00:49:30,320 --> 00:49:31,480
Speaker 8: You can type, You could type the thing and you

1112
00:49:31,480 --> 00:49:32,799
Speaker 8: could show it to someone. They can type it back,

1113
00:49:32,840 --> 00:49:34,360
Speaker 8: and that's going to be faster and more efficient.

1114
00:49:34,400 --> 00:49:37,560
Speaker 1: I went to Japan in twenty seventeen and I literally

1115
00:49:37,640 --> 00:49:39,799
Speaker 1: just used Google Translate. Yeah, and I feel like it'd

1116
00:49:39,840 --> 00:49:41,920
Speaker 1: be way more offensive to this man who did not

1117
00:49:42,040 --> 00:49:43,440
Speaker 1: speak a lick of it. I went to rock and

1118
00:49:43,480 --> 00:49:46,360
Speaker 1: it was amazing and like it was way less offensive

1119
00:49:46,360 --> 00:49:48,160
Speaker 1: to be like, oh, I don't understand you. I'm going

1120
00:49:48,160 --> 00:49:49,839
Speaker 1: to use this and being very honest to be like

1121
00:49:49,960 --> 00:49:53,279
Speaker 1: one second beep beep, now speak.

1122
00:49:54,239 --> 00:49:55,040
Speaker 5: Yeah, that's what I mean.

1123
00:49:55,080 --> 00:49:57,919
Speaker 1: You know inm Basil, who cannot converse with versus being

1124
00:49:57,960 --> 00:50:01,600
Speaker 1: like yeah, we're both from different countries, Like yeah, how magical. Yeah,

1125
00:50:01,640 --> 00:50:03,880
Speaker 1: there is a barrier, and technology has solved this barrier

1126
00:50:04,000 --> 00:50:07,400
Speaker 1: without removing the honesty of conversation versus I have paid

1127
00:50:07,400 --> 00:50:09,920
Speaker 1: someone five hundred dollars and twenty five bucks a month

1128
00:50:10,400 --> 00:50:13,160
Speaker 1: so that you and I can pretend we understand each

1129
00:50:13,160 --> 00:50:14,160
Speaker 1: other because we don't.

1130
00:50:14,440 --> 00:50:16,960
Speaker 2: And I do, I really do think that, like at

1131
00:50:17,040 --> 00:50:19,440
Speaker 2: the at the broadest levels, I do think that the

1132
00:50:19,480 --> 00:50:23,000
Speaker 2: translation use case makes them makes more sense than almost

1133
00:50:23,000 --> 00:50:25,319
Speaker 2: any other to me. And you know why it makes

1134
00:50:25,320 --> 00:50:27,880
Speaker 2: that sense because it's written in English. But Adam, what

1135
00:50:27,960 --> 00:50:30,480
Speaker 2: you were saying earlier, I couldn't miss it anyway. But

1136
00:50:30,800 --> 00:50:32,279
Speaker 2: the burden of being a comedian they have to take

1137
00:50:32,280 --> 00:50:34,760
Speaker 2: a little hanging free. But Adam, what you were saying

1138
00:50:34,880 --> 00:50:37,160
Speaker 2: earlier of just a second ago, about like we've already

1139
00:50:37,200 --> 00:50:38,160
Speaker 2: like the winners are here.

1140
00:50:38,239 --> 00:50:41,120
Speaker 5: The winners are the iPhone and android phones.

1141
00:50:41,239 --> 00:50:43,520
Speaker 2: Yeah, sort of goes back to what I was asking

1142
00:50:43,520 --> 00:50:47,839
Speaker 2: in the earlier block about, which about why are the

1143
00:50:47,960 --> 00:50:51,000
Speaker 2: rappers so prevalent? And is it because ed I'm hearing

1144
00:50:51,080 --> 00:50:53,560
Speaker 2: you that that a huge part of it is that

1145
00:50:53,600 --> 00:50:56,879
Speaker 2: we're following the trend. But also like, is it that

1146
00:50:57,440 --> 00:51:03,520
Speaker 2: there is some degree of the biggest consumer tech gaps

1147
00:51:03,600 --> 00:51:06,880
Speaker 2: have been closed right now or like the biggest consumer

1148
00:51:06,960 --> 00:51:09,400
Speaker 2: gaps that we can imagine right now. I'm sure in

1149
00:51:09,440 --> 00:51:11,080
Speaker 2: ten years there will be they will be will be

1150
00:51:11,120 --> 00:51:11,719
Speaker 2: in a totally.

1151
00:51:11,520 --> 00:51:15,400
Speaker 4: I mean, the iPhone was like ninety percent of all

1152
00:51:15,680 --> 00:51:20,000
Speaker 4: technological advancement. That's yeah, that was possible when it was invented.

1153
00:51:19,719 --> 00:51:20,200
Speaker 1: That's what I mean.

1154
00:51:20,480 --> 00:51:22,279
Speaker 4: Like it sort of picked. It was all the low

1155
00:51:22,360 --> 00:51:24,960
Speaker 4: hanging fruit all at once. It's been refined over twenty years.

1156
00:51:24,760 --> 00:51:27,200
Speaker 1: And they planned for it. Like there was a famous

1157
00:51:27,440 --> 00:51:29,960
Speaker 1: Golmon Sachs analysts called Jim Cavelli who said, like the iPhone,

1158
00:51:30,000 --> 00:51:32,040
Speaker 1: they knew it was going to happen, like at decade beforehand.

1159
00:51:32,200 --> 00:51:34,640
Speaker 1: They just needed Bluetooth to be smaller, they needed GPS

1160
00:51:34,680 --> 00:51:36,600
Speaker 1: to be smaller on mode ends and such.

1161
00:51:36,360 --> 00:51:39,160
Speaker 4: And like Apple has made the same thing in a

1162
00:51:39,200 --> 00:51:42,000
Speaker 4: dozen other form factors and they're all less popular than

1163
00:51:42,000 --> 00:51:44,400
Speaker 4: the iPhone. They're just like less, the iPad less, the

1164
00:51:44,480 --> 00:51:47,160
Speaker 4: Apple Watch less. The iPhone is like the main thing.

1165
00:51:48,480 --> 00:51:51,320
Speaker 8: Well obviously the Vision Pro, which is the most successful

1166
00:51:51,320 --> 00:51:51,480
Speaker 8: for me.

1167
00:51:51,600 --> 00:51:55,800
Speaker 1: Yeah, that's the popular product everyone loved. I think. I

1168
00:51:55,880 --> 00:51:57,799
Speaker 1: think there's another level of it as well, which is

1169
00:51:57,920 --> 00:52:01,600
Speaker 1: it's follow a culture, because it's when a big company goes,

1170
00:52:01,640 --> 00:52:04,360
Speaker 1: we're going to try this. And I think the meta

1171
00:52:04,400 --> 00:52:08,520
Speaker 1: glasses because a lot of credulous journalists when Wow, I

1172
00:52:08,560 --> 00:52:12,160
Speaker 1: could use this to video myself cooking. I could use

1173
00:52:12,200 --> 00:52:14,839
Speaker 1: this were walking around. I did a content video as

1174
00:52:14,840 --> 00:52:18,040
Speaker 1: a content creator. This is now a thing. And because

1175
00:52:18,080 --> 00:52:20,680
Speaker 1: that happened, everyone goes, oh, but those fucking dumb fuck

1176
00:52:20,760 --> 00:52:21,960
Speaker 1: vcs will buy anything.

1177
00:52:22,920 --> 00:52:25,919
Speaker 3: No one, they will, and I don't.

1178
00:52:26,000 --> 00:52:29,200
Speaker 1: Yeah, but vcs will. But have we seen any proof

1179
00:52:29,239 --> 00:52:32,200
Speaker 1: that consumers? No, no, no, no, no, but yeah vs will. But

1180
00:52:32,239 --> 00:52:34,480
Speaker 1: it's like, oh, yeah, we can clone the very popular

1181
00:52:34,560 --> 00:52:37,959
Speaker 1: meta ray bands you mean the horrendously unpopular one sorry,

1182
00:52:37,960 --> 00:52:42,440
Speaker 1: the unprofitable but also not super profitable like metas.

1183
00:52:43,040 --> 00:52:45,799
Speaker 4: I've never seen them in the real world using them.

1184
00:52:46,000 --> 00:52:50,160
Speaker 8: I've literally seen one person using them. Yeah, Don Lemon,

1185
00:52:50,400 --> 00:52:51,239
Speaker 8: don Lemon.

1186
00:52:56,960 --> 00:52:58,680
Speaker 5: You could not have said a funny.

1187
00:53:02,400 --> 00:53:05,400
Speaker 4: That man was Don Lemon. You could tell me a

1188
00:53:05,440 --> 00:53:07,719
Speaker 4: story about anybody doing anything and that they say it

1189
00:53:07,719 --> 00:53:08,319
Speaker 4: was Don Lemon.

1190
00:53:08,400 --> 00:53:09,799
Speaker 3: That very that's very good.

1191
00:53:09,920 --> 00:53:11,160
Speaker 5: Yeah, that's the thing.

1192
00:53:11,200 --> 00:53:15,279
Speaker 8: That he's shorter than what you would think. He's like

1193
00:53:15,360 --> 00:53:16,520
Speaker 8: maybe five seven of most.

1194
00:53:17,440 --> 00:53:20,120
Speaker 3: That's not good. Yeah, that's a shorter man than I expected,

1195
00:53:23,360 --> 00:53:23,719
Speaker 3: kind of.

1196
00:53:24,040 --> 00:53:26,680
Speaker 4: I went to the Razor Booth, which I know we

1197
00:53:26,680 --> 00:53:30,160
Speaker 4: talked about yesterday, but I did have a good time

1198
00:53:30,200 --> 00:53:32,680
Speaker 4: there and I actually kind of left going like they're

1199
00:53:32,719 --> 00:53:36,279
Speaker 4: doing it in an honest way because you know, I

1200
00:53:36,360 --> 00:53:38,319
Speaker 4: walk in and most of the stuff. Look, they're a

1201
00:53:38,360 --> 00:53:41,759
Speaker 4: second tier hardware company that makes accessories for gaming, right,

1202
00:53:41,800 --> 00:53:43,880
Speaker 4: and they make good ones. I had a Razor mouse.

1203
00:53:44,160 --> 00:53:46,960
Speaker 4: They had some keyboards. They went click click clicking. It

1204
00:53:47,000 --> 00:53:50,279
Speaker 4: was very nice. And then they had like a their

1205
00:53:50,360 --> 00:53:53,279
Speaker 4: their LLLM Rapper was a pair of gamer headphones with

1206
00:53:53,360 --> 00:53:55,479
Speaker 4: cameras and they're like, this is better than glasses because

1207
00:53:55,480 --> 00:53:57,359
Speaker 4: it's like a little bigger and no one can hear you.

1208
00:53:57,800 --> 00:54:00,239
Speaker 4: And then they did the same demo as where like

1209
00:54:00,360 --> 00:54:04,160
Speaker 4: literally they had a plastic cutting board full of plastic

1210
00:54:04,239 --> 00:54:07,120
Speaker 4: food and the girl goes, what can I make with this?

1211
00:54:07,280 --> 00:54:10,880
Speaker 4: And the LLM is like spaghetti and she's like wow, thanks,

1212
00:54:10,920 --> 00:54:12,160
Speaker 4: like it's literally spaghetti.

1213
00:54:12,239 --> 00:54:13,320
Speaker 3: And you see.

1214
00:54:13,120 --> 00:54:13,840
Speaker 1: The wife tube.

1215
00:54:14,520 --> 00:54:16,520
Speaker 4: I did. I did see the wife tube, but just

1216
00:54:16,880 --> 00:54:20,120
Speaker 4: to finish first. Then they're like, look, you can connect

1217
00:54:20,120 --> 00:54:24,000
Speaker 4: to Claude or Opus or any of them. And I'm like, okay, great,

1218
00:54:24,040 --> 00:54:26,200
Speaker 4: So Razor has gone. I know who gives a fun

1219
00:54:26,239 --> 00:54:29,920
Speaker 4: but Razor has gone. We're a hardware company. We make hardware.

1220
00:54:30,160 --> 00:54:33,120
Speaker 4: This is a thing that people are maybe using here's

1221
00:54:33,160 --> 00:54:35,719
Speaker 4: a hardware interface for it that's like pretty good, yes,

1222
00:54:35,840 --> 00:54:39,520
Speaker 4: and like fine, And they called it Project Makoto, which

1223
00:54:39,520 --> 00:54:42,480
Speaker 4: is a little bit over the top, but like it's

1224
00:54:42,520 --> 00:54:46,279
Speaker 4: functionally a gamer a gamer headset, right, it's not that bad.

1225
00:54:46,400 --> 00:54:46,560
Speaker 5: Now.

1226
00:54:46,640 --> 00:54:48,960
Speaker 4: The little tube I thought was funny.

1227
00:54:48,719 --> 00:54:51,120
Speaker 3: And this is a holographic tube with the WIFU in it.

1228
00:54:51,120 --> 00:54:53,160
Speaker 4: It's a little holograph. Have you seen this clothes? You

1229
00:54:53,160 --> 00:54:55,120
Speaker 4: should probably go check the wife. You would enjoy it.

1230
00:54:55,120 --> 00:54:56,799
Speaker 4: I would like to see you interact with it. It's

1231
00:54:56,840 --> 00:54:59,000
Speaker 4: a little so like a little on your desk, a

1232
00:54:59,000 --> 00:55:01,680
Speaker 4: little tube and inside the tubes a little anime girl

1233
00:55:02,160 --> 00:55:03,840
Speaker 4: and you can talk to it and it's just like

1234
00:55:03,880 --> 00:55:08,239
Speaker 4: talking to Chad GPT. But you can say like hey, hey,

1235
00:55:08,800 --> 00:55:12,200
Speaker 4: get out my gun in Battlefield four and then she goes, okay,

1236
00:55:12,360 --> 00:55:13,840
Speaker 4: I added a scope to it, but.

1237
00:55:13,880 --> 00:55:16,400
Speaker 3: Did that work? This is what the wife tube looks like.

1238
00:55:16,400 --> 00:55:20,920
Speaker 4: By the way, Yeah, it's but it's a little avatar tube.

1239
00:55:21,040 --> 00:55:24,160
Speaker 4: It can see you. And the guy goes, hey, what

1240
00:55:24,200 --> 00:55:26,239
Speaker 4: do you think of Adam's outfit? Because, by the way,

1241
00:55:26,320 --> 00:55:29,200
Speaker 4: everybody in the Razor booth that was the most recognized.

1242
00:55:29,239 --> 00:55:33,760
Speaker 4: I was all weekend because they're all Internet nerds loaded,

1243
00:55:33,880 --> 00:55:35,480
Speaker 4: so you want you. They kept come going up and

1244
00:55:35,480 --> 00:55:40,000
Speaker 4: saying hi, Adam. I was like, are you fucking stop it?

1245
00:55:40,400 --> 00:55:42,759
Speaker 3: It pos ten seconds every time he some.

1246
00:55:43,640 --> 00:55:45,919
Speaker 4: But so the guy goes, he reveals that he knew

1247
00:55:45,920 --> 00:55:47,600
Speaker 4: who I was because he goes, what do you think

1248
00:55:47,640 --> 00:55:50,520
Speaker 4: of Adam's outfit? And it sort of goes like wow,

1249
00:55:50,760 --> 00:55:55,840
Speaker 4: cees badge on fleek looking super professional and like a boss,

1250
00:55:56,239 --> 00:55:59,560
Speaker 4: and Jesus Christ, you know, yep, I guess there's some

1251
00:55:59,600 --> 00:56:03,400
Speaker 4: gamers who might need compliments, like a little compliment tube,

1252
00:56:04,320 --> 00:56:08,880
Speaker 4: but it was dumb but also compliment a little toy.

1253
00:56:09,480 --> 00:56:12,359
Speaker 4: I felt like they weren't even taking it that they're

1254
00:56:12,400 --> 00:56:14,680
Speaker 4: kind of shrugging, going like, yeah, you know.

1255
00:56:14,680 --> 00:56:16,359
Speaker 5: This is the bullshit we gotta do this year.

1256
00:56:16,880 --> 00:56:19,719
Speaker 4: Yeah, it's were a razor. Hey you want a mouse

1257
00:56:19,800 --> 00:56:21,799
Speaker 4: or you want a little anime girl too? You want

1258
00:56:21,800 --> 00:56:25,640
Speaker 4: something you scholowed? You want whatever the fuck this pervirtue?

1259
00:56:25,719 --> 00:56:29,040
Speaker 4: Yeah at least yeah, but they make led fucking you

1260
00:56:29,080 --> 00:56:30,440
Speaker 4: know desktop towers.

1261
00:56:30,440 --> 00:56:34,120
Speaker 3: Nobody doesn't love it, love it?

1262
00:56:34,320 --> 00:56:36,960
Speaker 1: Yeah, but like I don't know, I just like, if

1263
00:56:37,000 --> 00:56:39,200
Speaker 1: you buy the wife You Tube, they should fucking put

1264
00:56:39,200 --> 00:56:39,719
Speaker 1: you on the list.

1265
00:56:39,760 --> 00:56:41,200
Speaker 3: I'm sorry if you're.

1266
00:56:41,040 --> 00:56:44,440
Speaker 1: Like I desire a tube or right where to quote

1267
00:56:44,520 --> 00:56:49,400
Speaker 1: Robert from Yesterday, where like Krieger's Hentai wife from Archer resides,

1268
00:56:50,120 --> 00:56:52,360
Speaker 1: you should you should not be allowed to like you

1269
00:56:52,360 --> 00:56:55,120
Speaker 1: should have to introduce yourself to your neighbors. Like it's

1270
00:56:55,200 --> 00:56:57,840
Speaker 1: just it's just a very worrying product. And also who

1271
00:56:57,880 --> 00:56:58,840
Speaker 1: the fuck for?

1272
00:56:59,040 --> 00:57:00,480
Speaker 3: Like who is because.

1273
00:57:00,239 --> 00:57:02,400
Speaker 1: It's not good enough to give you actual if I

1274
00:57:02,520 --> 00:57:05,799
Speaker 1: like ces batge on fleek, wow, fuck off.

1275
00:57:05,920 --> 00:57:08,719
Speaker 2: Just well, that's the thing is that, Like that's one

1276
00:57:08,760 --> 00:57:11,840
Speaker 2: of the things is sure, are there a lot of

1277
00:57:11,840 --> 00:57:16,960
Speaker 2: gamers who could use some compliments without a doubt, absolutely,

1278
00:57:17,400 --> 00:57:21,280
Speaker 2: but like it sort of feels insulting to their intelligence.

1279
00:57:21,480 --> 00:57:22,240
Speaker 5: It feels insulting.

1280
00:57:22,360 --> 00:57:26,880
Speaker 2: I think the way AI talks, the kind of sycophantic chat,

1281
00:57:26,960 --> 00:57:30,920
Speaker 2: all this, yeah, feels feels like insulting to anybody's intelligence.

1282
00:57:30,960 --> 00:57:33,400
Speaker 2: And it's it's sort of shocking to me that we

1283
00:57:33,800 --> 00:57:37,959
Speaker 2: just go, yeah, that's how it should talk and that's

1284
00:57:38,040 --> 00:57:41,560
Speaker 2: fine and we accept that and aren't like that's humiliating

1285
00:57:41,680 --> 00:57:42,440
Speaker 2: and stupid.

1286
00:57:42,520 --> 00:57:45,640
Speaker 4: But if fits into me in the gamer context actually,

1287
00:57:45,680 --> 00:57:49,000
Speaker 4: because something that so many games do that I find annoying,

1288
00:57:49,040 --> 00:57:52,760
Speaker 4: But clearly people must like is like, thank you so much.

1289
00:57:52,920 --> 00:57:56,120
Speaker 4: You saved the whole village. You're the strongest hero we've

1290
00:57:56,120 --> 00:57:58,600
Speaker 4: ever met. Like games, you will compliment you for doing

1291
00:57:58,640 --> 00:58:00,960
Speaker 4: basic things. I don't even think games do that.

1292
00:58:01,160 --> 00:58:02,720
Speaker 5: I mean, you saved the whole village.

1293
00:58:02,760 --> 00:58:06,960
Speaker 1: At them, that's more than you see that in like

1294
00:58:07,000 --> 00:58:09,479
Speaker 1: a textbox and it goes away and you've forgotten to happen,

1295
00:58:09,760 --> 00:58:13,880
Speaker 1: and I'm hammering X. I'm like, I'm just like full autists,

1296
00:58:13,920 --> 00:58:15,160
Speaker 1: like I need to get in this fucking bit.

1297
00:58:15,240 --> 00:58:17,560
Speaker 3: Fuck you did. I don't care about the story.

1298
00:58:17,760 --> 00:58:20,280
Speaker 1: And it's just most gamers I talk to would be

1299
00:58:20,360 --> 00:58:23,320
Speaker 1: very annoyed to have any interruption and just having this

1300
00:58:23,480 --> 00:58:25,520
Speaker 1: demented Hentai thing in the corner.

1301
00:58:28,000 --> 00:58:30,560
Speaker 5: Flake and not to need to wash.

1302
00:58:31,640 --> 00:58:38,000
Speaker 1: Do you say you need to watch utility it's a

1303
00:58:38,200 --> 00:58:43,040
Speaker 1: wash tube then just reminds gamers to shower. Actually, this

1304
00:58:43,120 --> 00:58:45,080
Speaker 1: is a use case for AI. Then I can get

1305
00:58:45,400 --> 00:58:47,720
Speaker 1: Oh no, we're gonna get some memos saying I'm a

1306
00:58:47,760 --> 00:58:50,080
Speaker 1: gamer and eye wash. But by the way, if you

1307
00:58:50,160 --> 00:58:52,000
Speaker 1: email me that, I'm asking how often.

1308
00:58:53,520 --> 00:58:56,160
Speaker 4: It is funny that, like you know, maybe it's the

1309
00:58:56,200 --> 00:58:58,520
Speaker 4: computer from Star Trek, right, whether you go computer do

1310
00:58:58,560 --> 00:59:01,080
Speaker 4: this or that? And it would answer. The computer didn't go,

1311
00:59:01,680 --> 00:59:04,440
Speaker 4: what a great idea, Captain. That's sure decisive and a

1312
00:59:04,480 --> 00:59:07,040
Speaker 4: great shows leadership on your part.

1313
00:59:07,160 --> 00:59:09,360
Speaker 1: I think that actually is it though it's trying.

1314
00:59:09,160 --> 00:59:10,960
Speaker 2: To think of how much better Captain would have felt

1315
00:59:10,960 --> 00:59:12,560
Speaker 2: about himself if the computer had said that.

1316
00:59:12,560 --> 00:59:14,320
Speaker 4: Oh, Captain Percartt had self respect.

1317
00:59:14,880 --> 00:59:17,840
Speaker 1: But here's the thing they're doing. They're doing that because

1318
00:59:17,880 --> 00:59:19,880
Speaker 1: you can't just be like, do something. You can't be like,

1319
00:59:19,960 --> 00:59:22,120
Speaker 1: do this because it can't do anything true. It's like

1320
00:59:22,200 --> 00:59:24,880
Speaker 1: you can't be like, oh you the battlefield example, It

1321
00:59:24,920 --> 00:59:26,640
Speaker 1: actually can't do that because it would require it to

1322
00:59:26,680 --> 00:59:29,360
Speaker 1: interact with the game, which it definitely can't do. So

1323
00:59:29,400 --> 00:59:31,600
Speaker 1: it's like, yeah, they add all the sycophancy because you

1324
00:59:31,640 --> 00:59:33,640
Speaker 1: can't actually be like, can you do this for me?

1325
00:59:33,880 --> 00:59:35,720
Speaker 1: Can you find this? Because there'll be a five to

1326
00:59:35,760 --> 00:59:39,080
Speaker 1: ten second posset and they'll go Olympia is the capital

1327
00:59:39,080 --> 00:59:41,400
Speaker 1: of Washington's like I needed the fucking time, man.

1328
00:59:41,520 --> 00:59:43,840
Speaker 4: It said that it did it. The guy said, kid

1329
00:59:43,840 --> 00:59:45,560
Speaker 4: out my gun, and it said a bunch of stuff

1330
00:59:45,560 --> 00:59:47,320
Speaker 4: about the gun. I didn't know the game enough well

1331
00:59:47,400 --> 00:59:49,440
Speaker 4: enough to tell if it did, but I asked the

1332
00:59:49,520 --> 00:59:53,280
Speaker 4: dude I was like, do you think that gamers want

1333
00:59:53,400 --> 00:59:55,520
Speaker 4: this like a game assistant, because to me, a video

1334
00:59:55,520 --> 00:59:58,080
Speaker 4: game is like the paragon thing that you would want

1335
00:59:58,080 --> 01:00:02,160
Speaker 4: to do yourself. Yes, and I in this he was like, well, yes,

1336
01:00:02,600 --> 01:00:05,080
Speaker 4: but sometimes people people want to get better at a

1337
01:00:05,120 --> 01:00:07,440
Speaker 4: game like League of Legends or a game like that

1338
01:00:07,480 --> 01:00:09,840
Speaker 4: has a high skill ceiling, and so maybe it can

1339
01:00:09,880 --> 01:00:12,360
Speaker 4: give you tips. And I was like, okay, like a coach.

1340
01:00:12,440 --> 01:00:13,880
Speaker 4: And he's like yeah. And I was like, all right,

1341
01:00:14,000 --> 01:00:17,920
Speaker 4: maybe that's a use case and training a training AI

1342
01:00:18,120 --> 01:00:21,280
Speaker 4: that's gonna give you because people do higher like like

1343
01:00:21,400 --> 01:00:23,120
Speaker 4: video game like coaches.

1344
01:00:23,160 --> 01:00:25,520
Speaker 3: That is a market just good at a game.

1345
01:00:25,920 --> 01:00:30,840
Speaker 1: Yeah, not like a regurgitation of how money game FAQ pages.

1346
01:00:30,920 --> 01:00:33,480
Speaker 1: I'm not even I'm not even being selcastic like people.

1347
01:00:33,520 --> 01:00:35,840
Speaker 1: I've had many people helped me with games, but people,

1348
01:00:36,080 --> 01:00:37,720
Speaker 1: and the whole point is they watch you and go

1349
01:00:38,120 --> 01:00:40,760
Speaker 1: that was wrong, that was wrong. No, do this like

1350
01:00:40,960 --> 01:00:43,760
Speaker 1: you're doing this. I see you regularly making this action.

1351
01:00:44,080 --> 01:00:46,080
Speaker 1: I don't think you could recognize that through a camera.

1352
01:00:46,520 --> 01:00:48,640
Speaker 8: I guess it could maybe used for like for like

1353
01:00:48,720 --> 01:00:50,480
Speaker 8: walk through guides. If you're like stuck at a part

1354
01:00:50,520 --> 01:00:52,439
Speaker 8: you don't know how to, you can ask and it'll

1355
01:00:52,440 --> 01:00:55,200
Speaker 8: like regurgitate some ign article about how to get past

1356
01:00:55,240 --> 01:00:56,840
Speaker 8: the fourth dungeon.

1357
01:00:57,440 --> 01:00:58,560
Speaker 4: Already has that built in?

1358
01:00:58,640 --> 01:01:01,480
Speaker 3: Yeah really yeah they really brought it in as well.

1359
01:01:01,560 --> 01:01:05,000
Speaker 4: Yeah they have a future. The developers have to like

1360
01:01:05,040 --> 01:01:07,920
Speaker 4: build it in. But like Astrobot has this all done,

1361
01:01:07,920 --> 01:01:10,920
Speaker 4: because that's like a super fish party game. It like

1362
01:01:10,920 --> 01:01:13,680
Speaker 4: you hit the PlayStation button and it has like game hints.

1363
01:01:14,000 --> 01:01:16,280
Speaker 4: So literally, you know, if you're on a level and

1364
01:01:16,360 --> 01:01:18,680
Speaker 4: you're like, where's the fucking third puzzle piece, and it'll

1365
01:01:18,760 --> 01:01:21,080
Speaker 4: like show you a little video or give you a hint.

1366
01:01:21,400 --> 01:01:23,439
Speaker 4: But that's like basically they just put the game fact

1367
01:01:23,560 --> 01:01:24,400
Speaker 4: in the game.

1368
01:01:24,440 --> 01:01:24,800
Speaker 1: The game.

1369
01:01:25,400 --> 01:01:26,720
Speaker 4: It's I used to.

1370
01:01:26,640 --> 01:01:27,880
Speaker 3: Write video game guides.

1371
01:01:28,160 --> 01:01:31,040
Speaker 1: And the problem is is the the things that people

1372
01:01:31,120 --> 01:01:33,439
Speaker 1: get stuck on can be so dip because it's why

1373
01:01:33,440 --> 01:01:35,960
Speaker 1: they have like yellow things on ladders that you have

1374
01:01:36,040 --> 01:01:38,680
Speaker 1: to climb now, because something that seems really obvious to

1375
01:01:38,760 --> 01:01:41,840
Speaker 1: one million out of one sorry, one point nine million

1376
01:01:41,840 --> 01:01:44,840
Speaker 1: out of two million people is really just not obvious

1377
01:01:44,960 --> 01:01:47,400
Speaker 1: like a thousand people, and all of those people post

1378
01:01:47,400 --> 01:01:49,440
Speaker 1: online and they are just like what the fuck do

1379
01:01:49,520 --> 01:01:51,080
Speaker 1: I do here? And then you get the people who

1380
01:01:51,080 --> 01:01:52,080
Speaker 1: are mad that it's too obvious.

1381
01:01:52,120 --> 01:01:52,600
Speaker 3: But it's like.

1382
01:01:54,040 --> 01:01:56,480
Speaker 1: It's yet another thing where it's like a solution in

1383
01:01:56,520 --> 01:01:59,160
Speaker 1: search of a problem, and it's just kind of sad

1384
01:01:59,440 --> 01:02:01,640
Speaker 1: and I hate to do this really abrupt thing, but

1385
01:02:01,720 --> 01:02:04,000
Speaker 1: we're at thirty minutes and the next thing will solve

1386
01:02:04,040 --> 01:02:07,200
Speaker 1: either all of your problems will cause you more your choice,

1387
01:02:07,360 --> 01:02:09,280
Speaker 1: but you really have to give them your money whatever

1388
01:02:09,320 --> 01:02:10,760
Speaker 1: it is, and if it's a podcast, you have to

1389
01:02:10,800 --> 01:02:25,000
Speaker 1: listen and trust them wholeheartedly. We return to our scene.

1390
01:02:25,040 --> 01:02:28,520
Speaker 1: We've rotated once more, bringing back Matt Binder of Mashable.

1391
01:02:28,920 --> 01:02:30,800
Speaker 5: Hey, nice to be here again.

1392
01:02:30,720 --> 01:02:32,960
Speaker 1: And of course stand up comedian and star of Is

1393
01:02:33,000 --> 01:02:34,280
Speaker 1: This Thing On? Chloe Ratcline.

1394
01:02:34,280 --> 01:02:35,040
Speaker 6: Who you have her?

1395
01:02:35,120 --> 01:02:38,720
Speaker 1: Where is she? Bring her out there? She is? I

1396
01:02:38,840 --> 01:02:39,680
Speaker 1: must see her.

1397
01:02:40,320 --> 01:02:42,480
Speaker 4: Someone's gonna someone who's gonna see Is This Thing On?

1398
01:02:42,600 --> 01:02:44,480
Speaker 4: As result, they've heard the name so many.

1399
01:02:44,480 --> 01:02:46,360
Speaker 5: Don't you know? What I want people to do?

1400
01:02:46,520 --> 01:02:47,280
Speaker 1: Who cares about it?

1401
01:02:47,360 --> 01:02:49,400
Speaker 2: And it's not No. The movie's amazing and I'm very

1402
01:02:49,440 --> 01:02:51,120
Speaker 2: happy to be in it. What I want you to do?

1403
01:02:51,240 --> 01:02:52,240
Speaker 2: Can I do a little plug?

1404
01:02:52,280 --> 01:02:52,800
Speaker 3: Please? Please?

1405
01:02:52,880 --> 01:02:55,040
Speaker 2: I want you to come to my stand up shows

1406
01:02:55,040 --> 01:02:58,920
Speaker 2: in either Cincinnati this weekend January tenth and eleventh or

1407
01:02:59,080 --> 01:03:02,000
Speaker 2: DC next week in January seventeen, the eighteenth, or my

1408
01:03:02,080 --> 01:03:05,200
Speaker 2: solo show called Cheat in Philadelphia January twenty twenty.

1409
01:03:05,200 --> 01:03:08,560
Speaker 1: First and I saw Cheat, want I saw cheese fucking brilliant.

1410
01:03:08,680 --> 01:03:08,920
Speaker 1: Thank you.

1411
01:03:09,240 --> 01:03:12,480
Speaker 4: I mean to do that too, Pula, she plugged. I

1412
01:03:12,480 --> 01:03:13,120
Speaker 4: gotta plug.

1413
01:03:13,600 --> 01:03:15,960
Speaker 5: Uh. Now we know it's only my turn.

1414
01:03:16,280 --> 01:03:19,400
Speaker 4: This weekend, I'm gonna be a comedy on State in Madison, Wisconsin,

1415
01:03:19,440 --> 01:03:20,760
Speaker 4: one of the best clubs in the country. And then

1416
01:03:20,760 --> 01:03:23,720
Speaker 4: I'm going to be next weekend in Fort Wayne, Indiana,

1417
01:03:23,960 --> 01:03:26,360
Speaker 4: which I will not say, at the Summit Comedy Club

1418
01:03:26,400 --> 01:03:28,080
Speaker 4: in Fort Wayne, Indiana, which I will not say, is

1419
01:03:28,120 --> 01:03:29,920
Speaker 4: one of the best clubs in the country. But if

1420
01:03:29,920 --> 01:03:31,760
Speaker 4: you live at Fort Wayne, Indiana, it's probably the only

1421
01:03:31,800 --> 01:03:34,120
Speaker 4: club you have access to. And I will be there,

1422
01:03:34,160 --> 01:03:36,960
Speaker 4: So go see me there and then and then Houston

1423
01:03:37,040 --> 01:03:37,880
Speaker 4: later and I will.

1424
01:03:37,680 --> 01:03:41,440
Speaker 1: Be at the Chuckle Hunt Las Vegas doing my doing

1425
01:03:41,480 --> 01:03:45,560
Speaker 1: my new set bom actually stolen Valor and it's me

1426
01:03:45,680 --> 01:03:49,840
Speaker 1: doing the DreamWorks eyebrow for fifteen minutes. Anyway, we're back

1427
01:03:49,880 --> 01:03:53,840
Speaker 1: talking about CS Matt Benderer's return. What have you seen recently?

1428
01:03:54,440 --> 01:03:57,840
Speaker 5: I I don't even know anymore. Yeah, it's just just

1429
01:03:58,080 --> 01:04:02,720
Speaker 5: everything all at once, multiple places. I will say that

1430
01:04:03,280 --> 01:04:05,520
Speaker 5: this is very insaary in terms of being here, but

1431
01:04:05,640 --> 01:04:11,000
Speaker 5: it's fine. They they Vegas has very specific Uber pickup points. Yes,

1432
01:04:11,320 --> 01:04:13,800
Speaker 5: and it seems like when CS comes to town they

1433
01:04:13,880 --> 01:04:16,520
Speaker 5: just decide to fuck with everyone and move them place. Yes,

1434
01:04:16,560 --> 01:04:18,960
Speaker 5: they get telling the uber drivers yep. So you know,

1435
01:04:19,000 --> 01:04:20,600
Speaker 5: you try to get somewhere and you just can't because

1436
01:04:20,600 --> 01:04:22,240
Speaker 5: the Uber driver can't fucking get to you.

1437
01:04:22,320 --> 01:04:24,280
Speaker 1: West you have to go to the West Hall and

1438
01:04:24,360 --> 01:04:25,760
Speaker 1: go to the Diamond Lot, or you have to go

1439
01:04:25,840 --> 01:04:28,080
Speaker 1: to the Renaissance Hotel. That's the only way to get

1440
01:04:28,080 --> 01:04:30,320
Speaker 1: out of the LVCC. You can also take the tram

1441
01:04:30,360 --> 01:04:33,360
Speaker 1: if you want to be shoulder to shoulder with people

1442
01:04:33,360 --> 01:04:35,840
Speaker 1: who will want to die. Today, I walked from the LVCC.

1443
01:04:36,120 --> 01:04:37,200
Speaker 3: Great, how long did it take.

1444
01:04:37,040 --> 01:04:39,080
Speaker 5: You, uh LVCC to hear?

1445
01:04:39,240 --> 01:04:42,000
Speaker 1: It took me half an hour maybe a little bit

1446
01:04:42,040 --> 01:04:53,320
Speaker 1: less Samu powerwalk. Yeah, my priority is speed. What that's

1447
01:04:53,360 --> 01:04:56,360
Speaker 1: like an English thing that I'd see in Eureka Bark

1448
01:04:56,600 --> 01:04:59,919
Speaker 1: when your priority is speed and it's just a SaaS product. Yeah,

1449
01:05:00,080 --> 01:05:02,320
Speaker 1: but Matt, have you not seen the game? No? No?

1450
01:05:03,040 --> 01:05:03,720
Speaker 3: Have you beheld?

1451
01:05:03,760 --> 01:05:05,760
Speaker 5: All right? So I did. I don't even remember the

1452
01:05:05,840 --> 01:05:07,560
Speaker 5: name of it, but I did. I remember the last

1453
01:05:07,560 --> 01:05:10,080
Speaker 5: time I was on this show, I was larding the

1454
01:05:10,080 --> 01:05:12,800
Speaker 5: fact that crypto and blockchain is dead at cees.

1455
01:05:12,920 --> 01:05:13,680
Speaker 3: Oh, do you find something?

1456
01:05:13,680 --> 01:05:16,440
Speaker 5: I unfortunately found something. I don't remember what it did.

1457
01:05:16,480 --> 01:05:19,560
Speaker 5: It was a mining company. I don't know what their product.

1458
01:05:19,560 --> 01:05:19,720
Speaker 1: Did.

1459
01:05:19,720 --> 01:05:23,280
Speaker 5: I mean, but one thing I saw one thing, so's

1460
01:05:24,040 --> 01:05:25,880
Speaker 5: we don't got to shut out here. It's es when

1461
01:05:25,880 --> 01:05:28,000
Speaker 5: it comes to crypto, but it seems like it is

1462
01:05:28,040 --> 01:05:29,840
Speaker 5: still dead other than that one thing.

1463
01:05:30,120 --> 01:05:33,200
Speaker 1: Right, Yeah, it's the way. I will also say when

1464
01:05:33,280 --> 01:05:35,760
Speaker 1: Crypto was here, and I do remember it, it was

1465
01:05:35,840 --> 01:05:38,040
Speaker 1: so half hearted because first of all, it's the problem

1466
01:05:38,280 --> 01:05:40,960
Speaker 1: all the AI shit runs into, which is it's Internet connected.

1467
01:05:41,000 --> 01:05:45,360
Speaker 1: But it's also where AI really doesn't work. Crypto really

1468
01:05:45,520 --> 01:05:48,760
Speaker 1: really doesn't work. It's right, Yeah, it's a blockchain game. Great,

1469
01:05:48,800 --> 01:05:50,280
Speaker 1: So what you do is you get the thing. It

1470
01:05:50,320 --> 01:05:53,400
Speaker 1: takes ten to fifteen minutes based on the ethereum blockchain.

1471
01:05:53,880 --> 01:05:57,440
Speaker 1: And now one thing has happened, Now you'll do another thing. Yeah,

1472
01:05:57,440 --> 01:06:00,120
Speaker 1: you're going to need more ethereum because every single time

1473
01:06:00,160 --> 01:06:03,560
Speaker 1: you touched this. I I've definitely walked around a few

1474
01:06:03,560 --> 01:06:05,320
Speaker 1: of those. I'm like, yeah, so does this work? What's

1475
01:06:05,360 --> 01:06:07,000
Speaker 1: proof of concept? We've got a white paper. I'm like,

1476
01:06:07,080 --> 01:06:08,400
Speaker 1: fucking just everything.

1477
01:06:08,440 --> 01:06:11,800
Speaker 5: That's not good, that's not good showcase material for a count.

1478
01:06:12,080 --> 01:06:12,360
Speaker 3: It was.

1479
01:06:12,440 --> 01:06:14,480
Speaker 1: And last year I did see a panel that was

1480
01:06:14,520 --> 01:06:17,560
Speaker 1: a guy talking about quantum web three and I thought

1481
01:06:17,600 --> 01:06:19,160
Speaker 1: it would be funny. No, it was just a guy.

1482
01:06:19,440 --> 01:06:22,560
Speaker 1: It sounded like someone with a concussion, like web three,

1483
01:06:22,640 --> 01:06:27,600
Speaker 1: web three, web three, quantum quantum fast but quantumle break blockchain,

1484
01:06:27,880 --> 01:06:29,120
Speaker 1: and everyone going, hm.

1485
01:06:29,840 --> 01:06:31,920
Speaker 5: You you bringing up web three. It did make me

1486
01:06:32,000 --> 01:06:33,880
Speaker 5: remember that I did. I didn't go into it, but

1487
01:06:33,920 --> 01:06:37,800
Speaker 5: I did pass by. Apparently Jason Calacananas whatever his name is,

1488
01:06:37,800 --> 01:06:40,360
Speaker 5: from all In they were doing a live just him,

1489
01:06:40,680 --> 01:06:45,600
Speaker 5: were doing a live all In podcast at no interesting

1490
01:06:45,680 --> 01:06:48,200
Speaker 5: going in, but I mean they sent they sent like

1491
01:06:48,320 --> 01:06:51,560
Speaker 5: the the what the least successful.

1492
01:06:51,040 --> 01:06:55,080
Speaker 1: We've sent our clammiest man, our dampest man is here

1493
01:06:55,240 --> 01:06:57,920
Speaker 1: to bring you the dampest coverage of the ces.

1494
01:06:58,000 --> 01:07:00,720
Speaker 5: Because the other guy, Chopped whatever Chop whatever his name is,

1495
01:07:00,720 --> 01:07:03,120
Speaker 5: he's he's the most wealthy one, I think, right, and

1496
01:07:03,160 --> 01:07:05,880
Speaker 5: then and there's just David said and David Sackson too busy,

1497
01:07:06,800 --> 01:07:11,360
Speaker 5: too busy with his insidery trading stuff with the Trump administration. Yeah, so,

1498
01:07:11,440 --> 01:07:13,960
Speaker 5: I mean, I guess Jason kalakan Asen whenever how you

1499
01:07:14,000 --> 01:07:16,240
Speaker 5: ever said his last name? Yeah, I mean where was

1500
01:07:16,280 --> 01:07:17,240
Speaker 5: his claim to fame again?

1501
01:07:17,280 --> 01:07:19,680
Speaker 1: He sold Mahalow.

1502
01:07:20,000 --> 01:07:24,080
Speaker 5: Yeah, the SEO Yeah, the SEO Show, and then weblows engineer,

1503
01:07:24,480 --> 01:07:25,960
Speaker 5: but weblogs which created and gadget.

1504
01:07:26,000 --> 01:07:27,360
Speaker 1: It's like a weird thing where like he had a

1505
01:07:27,400 --> 01:07:30,680
Speaker 1: hand and he was also right right right right basically,

1506
01:07:30,880 --> 01:07:32,360
Speaker 1: what the fuck is he doing here?

1507
01:07:33,120 --> 01:07:35,040
Speaker 5: He's on the All In podcast. He's one of the

1508
01:07:35,080 --> 01:07:36,760
Speaker 5: four hosts, right, I mean.

1509
01:07:37,120 --> 01:07:39,920
Speaker 1: What Yeah, But I mean, I guess I can't really

1510
01:07:40,080 --> 01:07:41,520
Speaker 1: judge someone of being like I'm going to do a

1511
01:07:41,560 --> 01:07:42,760
Speaker 1: random podcast at CES.

1512
01:07:43,080 --> 01:07:45,680
Speaker 3: It's not random. I planned it all right, right no, but.

1513
01:07:45,680 --> 01:07:49,720
Speaker 5: I mean it wasn't though, Like this is ed Zitron show,

1514
01:07:49,760 --> 01:07:52,360
Speaker 5: and ed Zitron is here. Yes, they all In is

1515
01:07:52,480 --> 01:07:54,960
Speaker 5: four guys, and they sent just the one guy. They

1516
01:07:54,960 --> 01:07:57,000
Speaker 5: don't really even like that is really.

1517
01:07:58,120 --> 01:08:01,000
Speaker 1: Yeah, they did a regular episode doing one right now,

1518
01:08:01,240 --> 01:08:03,520
Speaker 1: It's like, yeah, Jason and each to cover Cees. Fine

1519
01:08:03,600 --> 01:08:06,160
Speaker 1: fucking Christ, Okay, let's do the Let's do the show.

1520
01:08:06,280 --> 01:08:08,720
Speaker 1: Jason's gone, God, that would be really I think is

1521
01:08:08,760 --> 01:08:09,560
Speaker 1: there four of them?

1522
01:08:09,800 --> 01:08:12,000
Speaker 5: There's four of them. I never remember the fourth one.

1523
01:08:12,440 --> 01:08:15,800
Speaker 5: But because he stays out of the political world, I

1524
01:08:15,880 --> 01:08:17,120
Speaker 5: think for the most part.

1525
01:08:17,720 --> 01:08:19,599
Speaker 1: They had Trump on and he was just like, we're

1526
01:08:19,600 --> 01:08:21,679
Speaker 1: gonna be the biggest immigrants. Are gonna have the biggest

1527
01:08:21,680 --> 01:08:23,360
Speaker 1: immogrants in the world. They're gonna be the largest, and

1528
01:08:23,360 --> 01:08:25,360
Speaker 1: the like, that's so great. You should do one h

1529
01:08:25,400 --> 01:08:27,439
Speaker 1: one bees. I don't like Barners, Like, yeah, we don't

1530
01:08:27,479 --> 01:08:29,240
Speaker 1: like them either, we need h one bees. Well you

1531
01:08:29,280 --> 01:08:30,679
Speaker 1: don't like them, but they were the biggest.

1532
01:08:30,840 --> 01:08:32,800
Speaker 5: He was looking at Chamith. I'm sure when he said

1533
01:08:32,840 --> 01:08:34,360
Speaker 5: I don't like Varners. I'm sure.

1534
01:08:35,000 --> 01:08:37,880
Speaker 1: Yeah, I'm sure sure that that was fine. Oh God,

1535
01:08:37,960 --> 01:08:40,040
Speaker 1: I can't believe, Like this is stay at this is

1536
01:08:40,080 --> 01:08:42,080
Speaker 1: meant to be Actually, this is a good segue. This

1537
01:08:42,120 --> 01:08:44,479
Speaker 1: is meant to be the consumer electronics show. But I

1538
01:08:44,560 --> 01:08:47,880
Speaker 1: keep running into non consumer like, oh, Eureka Park is

1539
01:08:47,920 --> 01:08:52,880
Speaker 1: like full of just meaningful enterprise stuff like sensors and

1540
01:08:53,040 --> 01:08:55,360
Speaker 1: like a solar things and like things that when you

1541
01:08:55,400 --> 01:08:57,080
Speaker 1: look at you want to make a joke at it

1542
01:08:57,160 --> 01:08:59,800
Speaker 1: be like, okay, this is a specific center for like, oh,

1543
01:08:59,840 --> 01:09:03,519
Speaker 1: it's of wetness sin so for a specific like cleaner

1544
01:09:03,560 --> 01:09:03,960
Speaker 1: of something.

1545
01:09:04,040 --> 01:09:05,519
Speaker 3: It's like a very specific thing.

1546
01:09:05,840 --> 01:09:09,759
Speaker 1: And then just like a count litter, like a robotic

1547
01:09:09,800 --> 01:09:12,040
Speaker 1: catlt thing that was not available.

1548
01:09:11,680 --> 01:09:14,320
Speaker 4: Right, I mean, yeah, I was taking a video of

1549
01:09:14,439 --> 01:09:16,280
Speaker 4: just like I was at I was in something that

1550
01:09:16,360 --> 01:09:18,160
Speaker 4: had like a whole lot of signs up like it

1551
01:09:18,200 --> 01:09:21,519
Speaker 4: was a science fair, and and I was I videoed

1552
01:09:21,560 --> 01:09:24,400
Speaker 4: just like the titles because they were baffling to me.

1553
01:09:25,080 --> 01:09:29,800
Speaker 4: Fleet management with vision AI nice EDGI meets human touch

1554
01:09:30,000 --> 01:09:33,360
Speaker 4: what and then AI Native compute for the IoT.

1555
01:09:34,439 --> 01:09:37,799
Speaker 1: These are not consumer products, these are money lending operations.

1556
01:09:37,880 --> 01:09:39,160
Speaker 3: Yeah, that's just connecting.

1557
01:09:39,360 --> 01:09:42,439
Speaker 1: That's just connecting various phrases together to see how many

1558
01:09:42,520 --> 01:09:45,160
Speaker 1: venture capitalists actually read the things they invest in.

1559
01:09:45,240 --> 01:09:47,680
Speaker 5: That's classic CES. Though a few years ago it was

1560
01:09:47,760 --> 01:09:53,680
Speaker 5: every company was a web three metaverse interactive artificial intelligence

1561
01:09:53,760 --> 01:09:55,000
Speaker 5: blocked on the blockchain.

1562
01:09:55,200 --> 01:09:56,840
Speaker 1: My favorite one was one that was just want to

1563
01:09:56,840 --> 01:09:59,080
Speaker 1: buy that? Yeah, No, My favorite one was one that

1564
01:09:59,280 --> 01:10:02,400
Speaker 1: just said, let's say it was called sorb and it

1565
01:10:03,080 --> 01:10:06,760
Speaker 1: solve via sorb. Let's just bring this up. Yeah. I saw,

1566
01:10:06,800 --> 01:10:10,599
Speaker 1: for a second, I thought he's sorb sort solve via

1567
01:10:10,760 --> 01:10:14,920
Speaker 1: sorb solve your accent is making this specific and this

1568
01:10:15,120 --> 01:10:18,160
Speaker 1: is really difficult. I just read s sor V solved

1569
01:10:18,240 --> 01:10:20,519
Speaker 1: via sorb and I will admit I didn't want to

1570
01:10:20,560 --> 01:10:22,920
Speaker 1: know anything more because mostly to handle it like I

1571
01:10:23,200 --> 01:10:23,960
Speaker 1: got I got it.

1572
01:10:24,720 --> 01:10:27,240
Speaker 3: My I'm constantly like what do I do? And I

1573
01:10:27,280 --> 01:10:30,120
Speaker 3: sor right, that's I'm sorbin.

1574
01:10:30,600 --> 01:10:33,320
Speaker 2: A side note on the accent, this is a completely

1575
01:10:33,400 --> 01:10:37,040
Speaker 2: unrelated I'm also dating a British man and I'm dating

1576
01:10:37,040 --> 01:10:39,800
Speaker 2: a man who is also British, and uh, he tried

1577
01:10:39,840 --> 01:10:41,960
Speaker 2: to make a joke of what's your source on that?

1578
01:10:42,160 --> 01:10:44,680
Speaker 2: But he pronounced it, but he was The joke was

1579
01:10:44,720 --> 01:10:47,920
Speaker 2: what's your sauce on that? But in a British accent,

1580
01:10:48,120 --> 01:10:51,479
Speaker 2: source and sauce are exactly the same word, like there

1581
01:10:51,560 --> 01:10:55,000
Speaker 2: is no distinguishing. And I made him say what's your

1582
01:10:55,040 --> 01:10:57,679
Speaker 2: sauce on that? Probably fifteen times in a rope because

1583
01:10:57,680 --> 01:10:59,560
Speaker 2: I was like, I don't understand what the joke is.

1584
01:10:59,600 --> 01:11:00,920
Speaker 2: I know you are making a joke.

1585
01:11:01,120 --> 01:11:03,639
Speaker 1: This is like there's the show called p a w

1586
01:11:03,720 --> 01:11:07,439
Speaker 1: N Stars. Now here's my problem. If I started saying, yeah,

1587
01:11:07,439 --> 01:11:08,599
Speaker 1: I was watching porn stars.

1588
01:11:09,080 --> 01:11:15,320
Speaker 2: This this, this leads to more questions than answer for

1589
01:11:15,400 --> 01:11:18,920
Speaker 2: all that the Brits are are king of wordplay in America.

1590
01:11:19,000 --> 01:11:22,080
Speaker 2: We've come up with a lot of wordplay that absolutely

1591
01:11:22,240 --> 01:11:23,160
Speaker 2: paralyzes you.

1592
01:11:23,160 --> 01:11:25,599
Speaker 1: Kind and I'm like, yeah, I'm watching porn Stars. There's

1593
01:11:25,600 --> 01:11:27,720
Speaker 1: this big guy called Chumley and then there's Rick and

1594
01:11:27,760 --> 01:11:32,160
Speaker 1: they're like all right, it's like yeah, one, he's constantly

1595
01:11:32,200 --> 01:11:35,200
Speaker 1: conning people, and like, whoa, this is some weird porno.

1596
01:11:35,280 --> 01:11:36,680
Speaker 3: I'm like, no, no is.

1597
01:11:36,760 --> 01:11:40,040
Speaker 4: I literally was thinking of pwn Stars like one hundred

1598
01:11:40,040 --> 01:11:42,040
Speaker 4: and twenty seconds ago, because when you were talking about

1599
01:11:42,040 --> 01:11:44,640
Speaker 4: them sending the one guy from all in, I was like,

1600
01:11:44,720 --> 01:11:46,679
Speaker 4: that's like if it was the cast of pawn Stars

1601
01:11:46,680 --> 01:11:48,960
Speaker 4: and they only said Chumley. I was like, maybe that's

1602
01:11:49,000 --> 01:11:50,240
Speaker 4: a joke I should say, And then I let it

1603
01:11:50,280 --> 01:11:51,920
Speaker 4: pass because I'm like, yeah, ponn Stars kind of an

1604
01:11:51,920 --> 01:11:52,479
Speaker 4: old reference.

1605
01:11:52,600 --> 01:11:55,599
Speaker 3: And then here you are, yeah right two minutes later.

1606
01:11:55,920 --> 01:11:58,040
Speaker 5: Have you ever told anyone added who your favorite character is?

1607
01:11:58,040 --> 01:11:59,240
Speaker 5: And then you have to let them know it's the

1608
01:11:59,320 --> 01:12:05,320
Speaker 5: old Man? Yes, yeah, my brain, it's my favorite porn star.

1609
01:12:06,200 --> 01:12:08,639
Speaker 1: Yeah, I like the old man that ows like this

1610
01:12:08,840 --> 01:12:12,200
Speaker 1: in my porn start. Yeah, it's but every episode of

1611
01:12:12,240 --> 01:12:14,599
Speaker 1: that show is great because it's just Charlmley being like, yo,

1612
01:12:14,720 --> 01:12:19,240
Speaker 1: I bought a Corra, a Toyota Corolla for fifteen thousand dollars,

1613
01:12:19,320 --> 01:12:21,519
Speaker 1: and then Rick's like, ah, that's terrible, but I scammed

1614
01:12:21,520 --> 01:12:24,360
Speaker 1: an old lady out of a fifty million dollar coin

1615
01:12:24,520 --> 01:12:27,639
Speaker 1: by giving her three hundred bucks. It's just an evil

1616
01:12:27,680 --> 01:12:29,800
Speaker 1: show and I love it. Yeah, but they charge you

1617
01:12:29,840 --> 01:12:31,519
Speaker 1: to go in there. Now, they should be on the

1618
01:12:31,560 --> 01:12:35,519
Speaker 1: show for why don't Cholmley should just kind of like

1619
01:12:35,640 --> 01:12:38,479
Speaker 1: amble through the RecA they charge you to go into

1620
01:12:38,479 --> 01:12:43,880
Speaker 1: the actual physical Yeah I've not I've not actually been

1621
01:12:43,960 --> 01:12:46,559
Speaker 1: because I think every Vegas resident just stays out of

1622
01:12:46,560 --> 01:12:47,519
Speaker 1: the tourist areas.

1623
01:12:47,960 --> 01:12:49,920
Speaker 3: But yeah, it's I would love them to come on

1624
01:12:49,960 --> 01:12:50,240
Speaker 3: the show.

1625
01:12:50,520 --> 01:12:52,599
Speaker 2: This is this is back to my pitch about a

1626
01:12:52,640 --> 01:12:54,200
Speaker 2: CEES fringe festival.

1627
01:12:54,360 --> 01:12:56,439
Speaker 1: Yes, we could have ship like yeah, the.

1628
01:12:56,439 --> 01:12:59,760
Speaker 2: Pond stars guys have have a booth.

1629
01:13:00,080 --> 01:13:01,880
Speaker 3: Some trying to buy his thoughts up?

1630
01:13:02,080 --> 01:13:02,240
Speaker 8: Is it?

1631
01:13:02,320 --> 01:13:05,280
Speaker 4: Genuinely? I mean a CS fringe festivaloud be kind of

1632
01:13:05,320 --> 01:13:08,919
Speaker 4: like like XO XO or another like creative tech festival.

1633
01:13:08,960 --> 01:13:11,800
Speaker 4: You could do something like that nearby and have like

1634
01:13:11,880 --> 01:13:15,240
Speaker 4: cool people with like their itch dot io projects. Yeah yeah, yeah,

1635
01:13:15,240 --> 01:13:17,960
Speaker 4: like they're weird, hacky things, you know that would be fun.

1636
01:13:17,800 --> 01:13:20,080
Speaker 1: And just like you get the Grandma orb and you

1637
01:13:20,240 --> 01:13:23,840
Speaker 1: just fucking blitter ate. You just have a fifty cow

1638
01:13:24,040 --> 01:13:26,000
Speaker 1: rifle that you unload into a computer.

1639
01:13:26,400 --> 01:13:27,720
Speaker 3: Okay, this is actually.

1640
01:13:27,760 --> 01:13:30,120
Speaker 2: Like a rage room for you can go to CES

1641
01:13:30,200 --> 01:13:31,720
Speaker 2: and then there's a rage room with all of the

1642
01:13:31,800 --> 01:13:33,120
Speaker 2: products at CES.

1643
01:13:33,439 --> 01:13:33,679
Speaker 3: Yeah.

1644
01:13:33,720 --> 01:13:34,400
Speaker 1: You then get to.

1645
01:13:34,479 --> 01:13:36,080
Speaker 3: Walking around the shopping like, do you mind if I

1646
01:13:36,120 --> 01:13:36,519
Speaker 3: shoot this?

1647
01:13:36,800 --> 01:13:36,920
Speaker 1: Like?

1648
01:13:36,960 --> 01:13:37,479
Speaker 3: What what?

1649
01:13:38,479 --> 01:13:40,559
Speaker 2: I just want to I want to state for the record,

1650
01:13:40,600 --> 01:13:44,800
Speaker 2: if any listener decides to start a CEES fringe, you

1651
01:13:44,840 --> 01:13:46,920
Speaker 2: have to you have to credit me as a co creator.

1652
01:13:47,080 --> 01:13:49,080
Speaker 4: Oh okay, okay, but they don't have to pay you.

1653
01:13:49,160 --> 01:13:52,280
Speaker 1: I would maybe, Okay, that would get too expensive.

1654
01:13:52,400 --> 01:13:52,960
Speaker 5: It's your ip.

1655
01:13:53,320 --> 01:13:56,000
Speaker 2: It's developed here on the show.

1656
01:13:55,960 --> 01:13:58,080
Speaker 1: Developed on bet rough Line and thus owned by iHeart

1657
01:13:58,200 --> 01:14:01,240
Speaker 1: Radio this fun. Yes, No, the ideas on the show

1658
01:14:01,240 --> 01:14:05,519
Speaker 1: are owned by I think me. I haven't really checked anyway. No,

1659
01:14:05,560 --> 01:14:07,599
Speaker 1: it's it's such a peculiar show and I don't want

1660
01:14:07,600 --> 01:14:10,360
Speaker 1: to repeat myself and just it's useless, but it is.

1661
01:14:10,960 --> 01:14:15,040
Speaker 1: There are less cameras, dildos and batteries companies, which is disappointing,

1662
01:14:15,760 --> 01:14:18,640
Speaker 1: And there are less practical, like I've been looking for

1663
01:14:18,720 --> 01:14:21,639
Speaker 1: anchor a n K E R. Right, they're like my favorite,

1664
01:14:21,680 --> 01:14:23,480
Speaker 1: Like I got big fucking ankor battery.

1665
01:14:23,280 --> 01:14:26,000
Speaker 5: Make a lot of mobile chargers and stuff.

1666
01:14:25,840 --> 01:14:29,040
Speaker 1: Mobile chargers and stuff like I like them. Can't find

1667
01:14:29,280 --> 01:14:31,920
Speaker 1: no like. And it's funny the description of the useful

1668
01:14:31,960 --> 01:14:35,639
Speaker 1: products so far stuff that exists still like a battery

1669
01:14:35,680 --> 01:14:37,000
Speaker 1: for girls, like.

1670
01:14:36,920 --> 01:14:38,479
Speaker 5: That's that's new that doesn't exist?

1671
01:14:38,600 --> 01:14:40,519
Speaker 1: Yeah, yeah, yeah, because a woman, if you try and

1672
01:14:40,560 --> 01:14:41,880
Speaker 1: picked up this battery.

1673
01:14:41,560 --> 01:14:43,760
Speaker 5: It's too heavy, you'd be like, whoa.

1674
01:14:43,479 --> 01:14:50,840
Speaker 1: I go, arms, mister, can you live this really? Thank you?

1675
01:14:51,400 --> 01:14:53,920
Speaker 1: I don't like this one because it's black, but if

1676
01:14:53,920 --> 01:14:56,200
Speaker 1: it had flowers on it, then I'd love it. Then

1677
01:14:56,240 --> 01:14:57,120
Speaker 1: I go, that's for me.

1678
01:14:57,720 --> 01:14:59,799
Speaker 4: The little mirror on it you can check your makeup

1679
01:15:00,120 --> 01:15:01,080
Speaker 4: so you could look at.

1680
01:15:00,960 --> 01:15:02,479
Speaker 3: Yourself, because women do that.

1681
01:15:02,800 --> 01:15:03,759
Speaker 5: I love mirror.

1682
01:15:06,800 --> 01:15:08,479
Speaker 3: You could get so far at this show.

1683
01:15:09,840 --> 01:15:13,280
Speaker 4: Yeah, but as a man, I prefer to have a hologram.

1684
01:15:12,720 --> 01:15:16,160
Speaker 2: Wife who I will say, okay, not to be all

1685
01:15:16,360 --> 01:15:20,360
Speaker 2: a woman about it. The wife tube, I was you

1686
01:15:20,439 --> 01:15:20,800
Speaker 2: gonna have?

1687
01:15:20,880 --> 01:15:22,160
Speaker 4: You could put a man in the tube.

1688
01:15:22,400 --> 01:15:24,960
Speaker 1: And does anyone which one?

1689
01:15:25,560 --> 01:15:26,360
Speaker 4: The razor one?

1690
01:15:27,880 --> 01:15:30,639
Speaker 3: Yeah, Volksori was saying there's a man with tattoos you can.

1691
01:15:30,479 --> 01:15:31,040
Speaker 1: Put an Yeah.

1692
01:15:31,080 --> 01:15:33,200
Speaker 5: So I don't remember if we even talked about this

1693
01:15:33,240 --> 01:15:34,040
Speaker 5: when I was on last time.

1694
01:15:34,720 --> 01:15:35,599
Speaker 3: We should keep talking.

1695
01:15:35,439 --> 01:15:38,160
Speaker 5: About the Okay, so the Razor one is the Project

1696
01:15:39,240 --> 01:15:41,040
Speaker 5: Koto or something like that.

1697
01:15:41,360 --> 01:15:44,000
Speaker 4: No, that's the headphones, Project Ava is the is the

1698
01:15:44,160 --> 01:15:45,040
Speaker 4: wife in the tube?

1699
01:15:45,240 --> 01:15:45,400
Speaker 9: Oh?

1700
01:15:45,439 --> 01:15:46,320
Speaker 5: No, you're right, you're right.

1701
01:15:47,200 --> 01:15:51,599
Speaker 2: I was just really project You are correct.

1702
01:15:51,680 --> 01:15:55,200
Speaker 5: Yes, I'm glad you're on this, thank you, because I'm not.

1703
01:15:55,840 --> 01:15:59,519
Speaker 5: But there are weirder ones because because the the Razor one,

1704
01:15:59,720 --> 01:16:02,200
Speaker 5: actually do they showed it to you, right, so they

1705
01:16:02,200 --> 01:16:04,760
Speaker 5: were like actual I wouldn't use it, but they were

1706
01:16:04,840 --> 01:16:08,080
Speaker 5: there were actual use case applications like and you can

1707
01:16:08,120 --> 01:16:08,360
Speaker 5: put a.

1708
01:16:08,320 --> 01:16:11,519
Speaker 1: Guy in a yeah, and like you're.

1709
01:16:10,880 --> 01:16:13,120
Speaker 5: Playing you're playing a video game and you're like, oh,

1710
01:16:13,240 --> 01:16:16,280
Speaker 5: is this the best uh you know configuration for my character?

1711
01:16:16,360 --> 01:16:20,280
Speaker 5: And no one does. But that at least is like

1712
01:16:20,560 --> 01:16:21,479
Speaker 5: an idea they got.

1713
01:16:21,840 --> 01:16:21,960
Speaker 8: There.

1714
01:16:22,160 --> 01:16:26,200
Speaker 5: There's one that I saw from a company called They've

1715
01:16:26,240 --> 01:16:29,599
Speaker 5: Got an Idea. I mean that's that's yes, they got

1716
01:16:29,600 --> 01:16:35,479
Speaker 5: an idea. They got an idea.

1717
01:16:35,840 --> 01:16:40,400
Speaker 1: I guess alternative tubes.

1718
01:16:40,520 --> 01:16:44,439
Speaker 5: Yes, So so this company Lempro has this is this

1719
01:16:44,520 --> 01:16:47,440
Speaker 5: tube called amy, and it's not as good as a hologram,

1720
01:16:47,479 --> 01:16:49,840
Speaker 5: but it's still You put a woman in a box,

1721
01:16:50,080 --> 01:16:52,080
Speaker 5: which is weird. A tiny woman in a box is

1722
01:16:52,080 --> 01:16:54,400
Speaker 5: a big thing now, apparently because a lot of companies

1723
01:16:54,439 --> 01:16:54,960
Speaker 5: want to do this.

1724
01:16:55,320 --> 01:16:59,080
Speaker 3: It's very weird video. But the whole, the whole.

1725
01:16:58,840 --> 01:17:02,200
Speaker 5: Purpose of the a me from lempro seems to be

1726
01:17:02,400 --> 01:17:06,519
Speaker 5: not AI assistant or any ideas like that. It's simply

1727
01:17:07,000 --> 01:17:09,240
Speaker 5: you're a lonely guy and you want to talk to

1728
01:17:09,640 --> 01:17:11,679
Speaker 5: this woman, and you.

1729
01:17:11,640 --> 01:17:13,960
Speaker 1: Don't have a woman trapping a woman.

1730
01:17:14,640 --> 01:17:16,960
Speaker 2: You don't want her to be full sized, right, and

1731
01:17:17,040 --> 01:17:18,879
Speaker 2: you don't want her to be able to go anywhere.

1732
01:17:18,920 --> 01:17:21,759
Speaker 5: Because they were they were they were talking about it

1733
01:17:21,800 --> 01:17:26,400
Speaker 5: as an AI companion, and my colleague at Mashable was

1734
01:17:26,479 --> 01:17:28,880
Speaker 5: doing a video on it, holding the device talking about it,

1735
01:17:28,920 --> 01:17:30,879
Speaker 5: said you know, if you need a friend, I guess,

1736
01:17:31,160 --> 01:17:34,240
Speaker 5: And while he's saying friend, the little woman in the

1737
01:17:34,320 --> 01:17:37,800
Speaker 5: box starts literally like gyrating her body as if she's

1738
01:17:37,840 --> 01:17:40,439
Speaker 5: like doing a strip tease. And I had to be like, buddy,

1739
01:17:40,439 --> 01:17:42,040
Speaker 5: I don't think she's meant to be your friend.

1740
01:17:42,160 --> 01:17:45,559
Speaker 1: I mean, have you ever wanted the experience of thinking

1741
01:17:45,560 --> 01:17:48,240
Speaker 1: a strip a fell in love? With you every day, right, And.

1742
01:17:48,200 --> 01:17:50,559
Speaker 5: It's it's because listen, I I don't want to put

1743
01:17:50,560 --> 01:17:53,320
Speaker 5: a stigma on sex text. Yes they did that years ago.

1744
01:17:53,360 --> 01:17:54,960
Speaker 3: We already talked about jack and right.

1745
01:17:55,360 --> 01:17:58,360
Speaker 5: But but like, this doesn't feel like sex tech. This

1746
01:17:58,439 --> 01:18:01,400
Speaker 5: feels like gooner. I don't know, it doesn't feel like

1747
01:18:01,840 --> 01:18:06,280
Speaker 5: something that like is normal even for like what people

1748
01:18:06,280 --> 01:18:08,200
Speaker 5: should be experiencing sexual.

1749
01:18:07,960 --> 01:18:11,240
Speaker 4: In order to wanna have it socially, you need to

1750
01:18:11,280 --> 01:18:15,960
Speaker 4: be socially stunted in a way that other people perceive

1751
01:18:16,000 --> 01:18:17,880
Speaker 4: as on you. Like I remember what I was a

1752
01:18:17,920 --> 01:18:20,599
Speaker 4: nerd and I grew up around other nerds and then

1753
01:18:20,640 --> 01:18:22,559
Speaker 4: occasionally I remember, now he's.

1754
01:18:22,360 --> 01:18:23,559
Speaker 3: A cool, Yeah, now he's cool.

1755
01:18:23,600 --> 01:18:25,320
Speaker 4: I remember me like sixteen, and one of my friends

1756
01:18:25,360 --> 01:18:27,760
Speaker 4: would say something about about women where I'm like, oh,

1757
01:18:27,800 --> 01:18:31,080
Speaker 4: you really don't see them as people and not in

1758
01:18:31,160 --> 01:18:34,599
Speaker 4: like even a You feel so pathetic internally, you have

1759
01:18:34,680 --> 01:18:37,639
Speaker 4: so little ability to communicate that you sort of see

1760
01:18:37,640 --> 01:18:40,320
Speaker 4: it as you see another person as as being a

1761
01:18:40,320 --> 01:18:45,160
Speaker 4: stimulus producing machine for your purpose. And there are people

1762
01:18:45,320 --> 01:18:48,519
Speaker 4: like that, and you you to buy one of these products.

1763
01:18:48,640 --> 01:18:50,880
Speaker 4: You have to. That's how you have to see other people.

1764
01:18:51,240 --> 01:18:53,679
Speaker 4: You have You have to be like really mentally socially,

1765
01:18:53,760 --> 01:18:56,200
Speaker 4: emotionally like disabled in a way.

1766
01:18:56,360 --> 01:18:58,599
Speaker 2: Yeah, and I just want to I want to sort

1767
01:18:58,600 --> 01:19:00,679
Speaker 2: of plant a flag very firmly. And we don't even

1768
01:19:00,680 --> 01:19:02,800
Speaker 2: have to analyze this, but just sort of like for

1769
01:19:03,080 --> 01:19:08,759
Speaker 2: posterity's sake, the sort of the broadest and most most

1770
01:19:08,800 --> 01:19:13,439
Speaker 2: foundational symbology of a technology where it says, here's a

1771
01:19:13,560 --> 01:19:16,719
Speaker 2: little woman that lives in a box on your desk

1772
01:19:17,360 --> 01:19:19,800
Speaker 2: is just sort of every sentence, every word in that

1773
01:19:19,800 --> 01:19:25,840
Speaker 2: scene explaining worse and worse and worse for gender dynamics.

1774
01:19:24,960 --> 01:19:31,080
Speaker 2: It really does symbolize somebody who doesn't see women as.

1775
01:19:31,000 --> 01:19:31,639
Speaker 3: Equals, right.

1776
01:19:31,760 --> 01:19:34,080
Speaker 5: I mean one of the one of the recommended demo

1777
01:19:34,360 --> 01:19:37,559
Speaker 5: like uh commands you were they they told you to try,

1778
01:19:37,800 --> 01:19:40,799
Speaker 5: was to go up to the box and say dance

1779
01:19:40,880 --> 01:19:44,599
Speaker 5: for me. I mean that that alone is very weird,

1780
01:19:44,640 --> 01:19:48,760
Speaker 5: like pretty damning. And for people who use this tea

1781
01:19:48,960 --> 01:19:49,479
Speaker 5: of the Hut?

1782
01:19:50,000 --> 01:19:52,040
Speaker 3: Do you want do you want to be like jab

1783
01:19:52,080 --> 01:19:52,519
Speaker 3: of the Hut?

1784
01:19:53,600 --> 01:19:59,280
Speaker 4: I had a long dude, show me, Oh that's good.

1785
01:19:59,360 --> 01:20:08,320
Speaker 5: No, do like I like it?

1786
01:20:08,720 --> 01:20:11,519
Speaker 1: Oh my god? But also I hate to ask, but

1787
01:20:12,000 --> 01:20:15,479
Speaker 1: how what was the woman white and thin?

1788
01:20:15,600 --> 01:20:16,400
Speaker 4: By any chance?

1789
01:20:16,520 --> 01:20:18,560
Speaker 5: There were there were a few women.

1790
01:20:19,000 --> 01:20:20,800
Speaker 1: Many women to trap, but you could you could pretty

1791
01:20:20,880 --> 01:20:21,240
Speaker 1: much guess.

1792
01:20:21,320 --> 01:20:24,080
Speaker 5: Yes, there was like a white like a blonde white

1793
01:20:24,120 --> 01:20:30,080
Speaker 5: school girl, and then a a like, uh, like a

1794
01:20:30,160 --> 01:20:33,120
Speaker 5: Japanese woman dressed in like traditional Japanese garb. But you

1795
01:20:33,160 --> 01:20:35,120
Speaker 5: know the type of it's really bad.

1796
01:20:35,280 --> 01:20:36,639
Speaker 1: Yeah, it's really really.

1797
01:20:37,000 --> 01:20:40,400
Speaker 4: Making it for me. Actually making it anime makes it

1798
01:20:40,479 --> 01:20:42,719
Speaker 4: slightly more palable because.

1799
01:20:42,479 --> 01:20:43,719
Speaker 1: There but it's not anime.

1800
01:20:44,040 --> 01:20:44,960
Speaker 4: Oh, it's not anime.

1801
01:20:45,120 --> 01:20:47,120
Speaker 1: It's it's just a white school girl.

1802
01:20:47,360 --> 01:20:48,040
Speaker 3: It's just people.

1803
01:20:49,800 --> 01:20:52,840
Speaker 5: They're not real, they're not like human models. They are

1804
01:20:52,880 --> 01:20:56,679
Speaker 5: sort of like cartoony, but it is like anime style.

1805
01:20:56,760 --> 01:20:58,599
Speaker 4: But I was gonna say there' stuff like gen Should

1806
01:20:58,640 --> 01:21:02,160
Speaker 4: Impact where people like collect their favorite characters they find

1807
01:21:02,200 --> 01:21:05,439
Speaker 4: them sexy. Both women and men do this, and it's

1808
01:21:05,520 --> 01:21:08,639
Speaker 4: like it's a little it's sort of like fun fantasy land.

1809
01:21:08,800 --> 01:21:10,720
Speaker 4: And I can see a version of this product that

1810
01:21:10,760 --> 01:21:13,640
Speaker 4: like appeals to the Genchin Impact player were like the

1811
01:21:13,640 --> 01:21:15,400
Speaker 4: average person might be like, that's kind of weird, but

1812
01:21:15,479 --> 01:21:16,920
Speaker 4: I don't enough people who do it where I'm like,

1813
01:21:16,960 --> 01:21:18,760
Speaker 4: you can do it in a fun way, but like

1814
01:21:19,160 --> 01:21:23,879
Speaker 4: in general, as ghost is a companion, which is bad.

1815
01:21:23,760 --> 01:21:26,320
Speaker 5: Right, Like the Raison one. You said, like the model

1816
01:21:26,360 --> 01:21:28,759
Speaker 5: of the woman in there was like an anime character.

1817
01:21:28,840 --> 01:21:30,680
Speaker 5: It was like a known I don't know who she was,

1818
01:21:30,720 --> 01:21:32,960
Speaker 5: but it was a known person. And while she might

1819
01:21:33,000 --> 01:21:35,439
Speaker 5: have been dressed like provocatively, it was the character. But

1820
01:21:35,520 --> 01:21:39,479
Speaker 5: also there's no actions that add to that that that

1821
01:21:39,479 --> 01:21:44,320
Speaker 5: that that at all her characters. I agree, but I'm

1822
01:21:44,360 --> 01:21:47,800
Speaker 5: just trying to differentiate the two products. This one, this

1823
01:21:47,840 --> 01:21:51,960
Speaker 5: one is great. They were they were they were stressed

1824
01:21:52,000 --> 01:21:56,680
Speaker 5: that way and then acting out ways you would fantasize someone.

1825
01:21:56,640 --> 01:21:58,680
Speaker 2: And not wait, are you saying the Razor one is

1826
01:21:58,680 --> 01:21:59,280
Speaker 2: a real character?

1827
01:21:59,320 --> 01:22:01,360
Speaker 1: Is a character that in the worst Yeah? And then

1828
01:22:01,400 --> 01:22:01,840
Speaker 1: these are not.

1829
01:22:01,960 --> 01:22:05,120
Speaker 5: These are just the AI companion creations.

1830
01:22:05,160 --> 01:22:06,880
Speaker 2: And you think about it and you're like, you know,

1831
01:22:07,000 --> 01:22:10,640
Speaker 2: these people you have when you're designing a companion, you

1832
01:22:10,680 --> 01:22:14,880
Speaker 2: have a literal infinite number of human characters who you

1833
01:22:14,920 --> 01:22:18,040
Speaker 2: could you know, like, why not pick a sixty five

1834
01:22:18,120 --> 01:22:20,320
Speaker 2: year old lady bus driver in the Bronx?

1835
01:22:20,640 --> 01:22:21,000
Speaker 1: Why not?

1836
01:22:21,160 --> 01:22:22,120
Speaker 3: Honestly, why not?

1837
01:22:22,560 --> 01:22:23,519
Speaker 5: But this is what I'm saying.

1838
01:22:23,560 --> 01:22:25,320
Speaker 2: But the reason that you are laughing at this, and look,

1839
01:22:25,320 --> 01:22:27,040
Speaker 2: I'm saying that it's not sexual, But.

1840
01:22:27,000 --> 01:22:31,120
Speaker 5: The reason that I'm laughing want me Streep in a box.

1841
01:22:31,160 --> 01:22:32,000
Speaker 1: I'm going to be honest.

1842
01:22:32,439 --> 01:22:37,320
Speaker 5: I want to fuck Meryl Streep. No, okay, what if

1843
01:22:37,360 --> 01:22:39,519
Speaker 5: I just want to talk shop with Meryl Streep about

1844
01:22:39,520 --> 01:22:40,920
Speaker 5: her film career and a little box.

1845
01:22:40,960 --> 01:22:42,080
Speaker 3: But I'm going to be honest.

1846
01:22:42,080 --> 01:22:43,960
Speaker 1: Some of the best conversations I've ever had have been

1847
01:22:43,960 --> 01:22:46,400
Speaker 1: with like random old people at airports, Like a few

1848
01:22:46,479 --> 01:22:48,040
Speaker 1: years ago, I was out of random. I forget where.

1849
01:22:48,040 --> 01:22:50,720
Speaker 1: I was like maybe sort Lake City or regardless. I

1850
01:22:50,920 --> 01:22:52,120
Speaker 1: just talked to this guy next to me and he

1851
01:22:52,160 --> 01:22:54,479
Speaker 1: was a former NFL player from like the sixties or

1852
01:22:54,479 --> 01:22:55,280
Speaker 1: set like it was before.

1853
01:22:55,320 --> 01:22:56,840
Speaker 3: It was like a high paying job just.

1854
01:22:56,840 --> 01:22:58,600
Speaker 1: Chat ship for half an hour. Have we kind of

1855
01:22:58,640 --> 01:23:00,000
Speaker 1: talked about this and I was like, yeah, I'm going

1856
01:23:00,160 --> 01:23:01,559
Speaker 1: through some shit right now. I'm like, we had an

1857
01:23:01,560 --> 01:23:04,840
Speaker 1: honest conversation that was probably like icon imagine that.

1858
01:23:04,880 --> 01:23:06,599
Speaker 5: Was more socially hewing and.

1859
01:23:07,040 --> 01:23:09,439
Speaker 1: As far as like, yeah, to your point, executly sorry,

1860
01:23:09,479 --> 01:23:13,040
Speaker 1: it means tokoby, and it's like the actual woman, No,

1861
01:23:13,320 --> 01:23:16,120
Speaker 1: they're going to get me for this. But the loneliness thing,

1862
01:23:16,280 --> 01:23:20,960
Speaker 1: the isolation isn't solved by sex, and like immediately placing

1863
01:23:20,960 --> 01:23:23,320
Speaker 1: women in this situation where they are the solution to

1864
01:23:23,400 --> 01:23:27,639
Speaker 1: men's problems is put to its male loneliness. Bullshit. It's

1865
01:23:27,680 --> 01:23:30,600
Speaker 1: claiming that women are somehow the solution to men not

1866
01:23:30,680 --> 01:23:32,320
Speaker 1: seeking introspection and companionship.

1867
01:23:32,360 --> 01:23:35,599
Speaker 2: And what's funny is that it's not even woman is

1868
01:23:35,840 --> 01:23:39,000
Speaker 2: the solution, because there's a there's a sixty five year

1869
01:23:39,040 --> 01:23:42,559
Speaker 2: old bronx bus who would not count as the solution.

1870
01:23:42,960 --> 01:23:46,720
Speaker 2: What it is is there is a there is a

1871
01:23:46,760 --> 01:23:54,639
Speaker 2: specific checklist of a woman's weight, facial beauty, and social

1872
01:23:54,680 --> 01:23:58,240
Speaker 2: subservience that are supposed to that are supposed to fit

1873
01:23:59,040 --> 01:24:03,760
Speaker 2: into into this very narrow range of measurements, and that

1874
01:24:03,840 --> 01:24:07,800
Speaker 2: woman then owes service to man who is lonely. Yep,

1875
01:24:08,200 --> 01:24:09,760
Speaker 2: and I want to be I want to be like

1876
01:24:09,880 --> 01:24:15,599
Speaker 2: as fair as possible. So say a man is very

1877
01:24:15,640 --> 01:24:18,839
Speaker 2: lonely a man, a man lives a very isolated life

1878
01:24:19,200 --> 01:24:22,920
Speaker 2: and goes I can see a use for an AI

1879
01:24:23,040 --> 01:24:26,920
Speaker 2: companion as a like a social like fill the hole

1880
01:24:27,000 --> 01:24:28,519
Speaker 2: that is in my life that I can't figure out

1881
01:24:28,520 --> 01:24:31,160
Speaker 2: another way to fill that. Maybe we would say, hey,

1882
01:24:31,360 --> 01:24:33,800
Speaker 2: what do you like? Do you like chess? Go find

1883
01:24:33,840 --> 01:24:36,240
Speaker 2: a once a week chess or once a month chest night.

1884
01:24:36,479 --> 01:24:38,200
Speaker 2: Hey do you like I don't know whatever.

1885
01:24:38,000 --> 01:24:40,719
Speaker 5: There's chess playing robots that will solve that problem.

1886
01:24:41,640 --> 01:24:43,120
Speaker 2: You don't know what to talk to me about, right that, Like,

1887
01:24:43,280 --> 01:24:45,799
Speaker 2: I understand that there are people who live an incredibly

1888
01:24:45,840 --> 01:24:48,479
Speaker 2: isolated life that I would maybe look at it and go,

1889
01:24:48,640 --> 01:24:51,960
Speaker 2: there are ways to solve this. There are analogue, human

1890
01:24:52,000 --> 01:24:54,000
Speaker 2: to human ways to solve this and to take baby

1891
01:24:54,000 --> 01:24:54,639
Speaker 2: steps forward.

1892
01:24:55,280 --> 01:24:58,639
Speaker 5: Sure, of course, I mean I think that that's the solution, and.

1893
01:24:58,600 --> 01:25:00,559
Speaker 2: I'll be all but like I can imagine somebody who

1894
01:25:00,560 --> 01:25:03,840
Speaker 2: goes that kind of human facing solution is impossible for me.

1895
01:25:04,120 --> 01:25:07,080
Speaker 2: I cannot imagine leaving my apartment. I cannot imagine going

1896
01:25:07,080 --> 01:25:09,840
Speaker 2: to a chestnight, I cannot imagine whatever insert Sure, fine, okay,

1897
01:25:09,840 --> 01:25:12,200
Speaker 2: So I'm trying to like be as fair as possible.

1898
01:25:11,840 --> 01:25:13,799
Speaker 1: Have as much as much empathy as possible.

1899
01:25:14,280 --> 01:25:17,320
Speaker 2: And and this person, first of all, the idea that

1900
01:25:17,360 --> 01:25:20,040
Speaker 2: this person doesn't have inherent Sorry I'm really on my

1901
01:25:20,600 --> 01:25:22,599
Speaker 2: soop box now, this is but the idea that that

1902
01:25:22,640 --> 01:25:26,320
Speaker 2: person doesn't already it like, hasn't already been inherently soaked

1903
01:25:26,400 --> 01:25:33,280
Speaker 2: in sexist assumptions and standards and and a view inherently

1904
01:25:33,360 --> 01:25:35,920
Speaker 2: of women as unequal, because that is we all I

1905
01:25:36,040 --> 01:25:37,960
Speaker 2: view women as an unequal because that is the water

1906
01:25:38,000 --> 01:25:39,559
Speaker 2: that we swim in, that is how we live, that

1907
01:25:39,640 --> 01:25:41,439
Speaker 2: is how that is how we are socialized. So like,

1908
01:25:42,080 --> 01:25:46,040
Speaker 2: those assumptions already exist in all of us, and particularly

1909
01:25:46,080 --> 01:25:47,000
Speaker 2: in this isolated person.

1910
01:25:47,600 --> 01:25:49,080
Speaker 5: But again I'm.

1911
01:25:48,920 --> 01:25:51,479
Speaker 2: Being as fair as possible say that those assumptions are

1912
01:25:51,520 --> 01:25:55,040
Speaker 2: not actually surface level, they're inherent. They they operate in

1913
01:25:55,120 --> 01:25:58,200
Speaker 2: how we make subconscious judgments. But this person is not,

1914
01:25:59,000 --> 01:26:02,400
Speaker 2: you know, sort of like outright a sexist. They buy

1915
01:26:03,520 --> 01:26:08,920
Speaker 2: wife in a tube and suddenly there, if we're assuming

1916
01:26:08,920 --> 01:26:12,680
Speaker 2: that they're pretty isolated, suddenly they're a huge bulk of

1917
01:26:12,720 --> 01:26:18,480
Speaker 2: their interaction with what feels like a human is Japanese

1918
01:26:18,520 --> 01:26:21,240
Speaker 2: lady in a kimono, well, who probably has big hits

1919
01:26:21,280 --> 01:26:22,040
Speaker 2: under that kimono.

1920
01:26:22,400 --> 01:26:23,799
Speaker 5: Good for you know, like a good.

1921
01:26:25,479 --> 01:26:28,360
Speaker 2: Is that it's like that Suddenly it becomes your only

1922
01:26:28,479 --> 01:26:34,120
Speaker 2: interaction with with the concept of a woman, or or

1923
01:26:34,160 --> 01:26:37,200
Speaker 2: the vast majority of your interaction with the concept of

1924
01:26:37,240 --> 01:26:41,519
Speaker 2: a woman like that inherently is going to poison how

1925
01:26:41,600 --> 01:26:45,080
Speaker 2: you interact with your interactions with gender.

1926
01:26:45,720 --> 01:26:48,000
Speaker 5: And I just like that.

1927
01:26:48,000 --> 01:26:51,400
Speaker 2: That to me, that is my fairest take where where

1928
01:26:51,640 --> 01:26:55,360
Speaker 2: where I'm not saying it's evil at the top. I'm sorry,

1929
01:26:55,400 --> 01:26:57,360
Speaker 2: it's like evil at the out from the outset. I

1930
01:26:57,360 --> 01:27:00,160
Speaker 2: think the product is evil from the outset, but the

1931
01:27:00,160 --> 01:27:02,240
Speaker 2: person doesn't necessarily have to be like fucked up from

1932
01:27:02,280 --> 01:27:02,799
Speaker 2: the outset.

1933
01:27:03,080 --> 01:27:04,840
Speaker 1: But I just think this product is going to heat

1934
01:27:04,920 --> 01:27:06,760
Speaker 1: to I want to write, I want to add one

1935
01:27:06,760 --> 01:27:09,600
Speaker 1: thing to that, which is it also inherently connects loneliness

1936
01:27:09,640 --> 01:27:12,880
Speaker 1: with sex and physical validation, because it's like, why isn't

1937
01:27:12,920 --> 01:27:15,800
Speaker 1: a guy like why do you have to have a

1938
01:27:16,120 --> 01:27:20,040
Speaker 1: woman you are attracted to to solve your loneliness? Why

1939
01:27:20,120 --> 01:27:22,720
Speaker 1: is your companion by default the opposite sex and I

1940
01:27:22,760 --> 01:27:25,000
Speaker 1: assume validating how you look and telling you you're a

1941
01:27:25,479 --> 01:27:27,760
Speaker 1: Why is that? Because that is not because that's where

1942
01:27:27,760 --> 01:27:30,720
Speaker 1: it gets into the like woman subservience thing for me.

1943
01:27:30,680 --> 01:27:33,679
Speaker 3: As well, because it's service.

1944
01:27:33,880 --> 01:27:36,240
Speaker 5: That's that's because all these all these all these products

1945
01:27:36,240 --> 01:27:40,080
Speaker 5: aren't solved if your issue is solving your your social problem,

1946
01:27:40,680 --> 01:27:44,040
Speaker 5: none of these no tech product is going to Yes,

1947
01:27:44,200 --> 01:27:47,400
Speaker 5: but the whole point we're or like exposing like exposure

1948
01:27:47,439 --> 01:27:50,160
Speaker 5: to the outside world, right, Like you, if you have

1949
01:27:50,400 --> 01:27:53,120
Speaker 5: a problem socializing with people, then the way you fix

1950
01:27:53,200 --> 01:27:56,720
Speaker 5: that is by forcing yourself to socialize with people like

1951
01:27:56,960 --> 01:27:59,680
Speaker 5: Tech can't by definition fixed that because Tech is not

1952
01:27:59,720 --> 01:28:00,240
Speaker 5: a person.

1953
01:28:00,400 --> 01:28:02,360
Speaker 1: And I mean I used to be a very awkward

1954
01:28:02,400 --> 01:28:05,000
Speaker 1: but like even like you're not chloyed, but he's cool now,

1955
01:28:05,000 --> 01:28:07,920
Speaker 1: but I'm cool and no I am not. But it's like,

1956
01:28:08,080 --> 01:28:11,280
Speaker 1: and it took having to have some very harsh conversations

1957
01:28:11,320 --> 01:28:14,200
Speaker 1: with myself and my therapist and just accepting that, like, yeah,

1958
01:28:14,320 --> 01:28:18,360
Speaker 1: I was awkward, I was not thoughtful about my conversation style,

1959
01:28:18,400 --> 01:28:20,720
Speaker 1: and I was just hated myself and didn't think I

1960
01:28:20,800 --> 01:28:23,360
Speaker 1: was human. Yeah, I'm being to fucking therapy now. It's great,

1961
01:28:23,400 --> 01:28:26,920
Speaker 1: but it's solving that would not be someone validating my

1962
01:28:27,080 --> 01:28:29,519
Speaker 1: every whim. You kind of need to hurt a little

1963
01:28:29,520 --> 01:28:33,759
Speaker 1: bit because no one's perfect. But it's like saying, oh, yeah,

1964
01:28:33,800 --> 01:28:36,599
Speaker 1: a sexy wifu in a tube is your prisoner now,

1965
01:28:36,800 --> 01:28:39,080
Speaker 1: and now you won't be lonely because the prison wife

1966
01:28:39,160 --> 01:28:40,360
Speaker 1: is yours and.

1967
01:28:40,280 --> 01:28:43,240
Speaker 2: I can and again like being as fair as possible,

1968
01:28:43,439 --> 01:28:46,879
Speaker 2: giving giving as much credit to the other perspectives as possible.

1969
01:28:47,520 --> 01:28:50,920
Speaker 2: I can imagine somebody saying when you're saying, like, I

1970
01:28:50,920 --> 01:28:54,040
Speaker 2: don't want the solution to be loneliness, to be inherently

1971
01:28:54,080 --> 01:28:57,240
Speaker 2: tied to romance. I agree at a philosophical level, but

1972
01:28:57,280 --> 01:29:00,839
Speaker 2: I can imagine that from a pragmatic view, a huge

1973
01:29:00,880 --> 01:29:03,240
Speaker 2: amount of very lonely people are like, yeah, I would

1974
01:29:03,600 --> 01:29:04,439
Speaker 2: love to be in love.

1975
01:29:04,720 --> 01:29:05,200
Speaker 5: There's a lot.

1976
01:29:05,240 --> 01:29:08,719
Speaker 1: Isn't solve it. It doesn't solve If you hate yourself

1977
01:29:08,760 --> 01:29:10,800
Speaker 1: and you meet someone and you have sex with them,

1978
01:29:10,800 --> 01:29:13,400
Speaker 1: and you're with them and you still fucking hate yourself,

1979
01:29:13,520 --> 01:29:16,680
Speaker 1: you are going to become dependent on that one and

1980
01:29:16,760 --> 01:29:19,200
Speaker 1: you are going to be a fucking You're going to

1981
01:29:19,240 --> 01:29:20,240
Speaker 1: be a tumor on them.

1982
01:29:20,720 --> 01:29:29,240
Speaker 3: It's just I hate It's that sucks, Chloe.

1983
01:29:29,360 --> 01:29:32,000
Speaker 1: My autism is such I genuinely don't think about your

1984
01:29:32,000 --> 01:29:34,280
Speaker 1: both ever. And you know, I'm like the one person

1985
01:29:34,280 --> 01:29:39,040
Speaker 1: Wait my favorite Oh no, it's sucking rocks.

1986
01:29:39,320 --> 01:29:40,760
Speaker 3: It's the store anyway.

1987
01:29:40,880 --> 01:29:44,120
Speaker 4: No, no, Claire, Chloe. She's got a big birthmark for

1988
01:29:44,120 --> 01:29:47,880
Speaker 4: those who are just hearing her via audio. Look, it is,

1989
01:29:48,280 --> 01:29:51,559
Speaker 4: first of all, the loneliness. The loneliness epidemic is real.

1990
01:29:51,680 --> 01:29:55,160
Speaker 4: It does kill people. It's like the discourse about it whatever,

1991
01:29:55,240 --> 01:29:58,800
Speaker 4: but like it is a real problem. It's also like

1992
01:29:59,000 --> 01:30:02,400
Speaker 4: evidence of such a deep distortion in our society that

1993
01:30:02,479 --> 01:30:05,600
Speaker 4: we have it because the thing that we have the

1994
01:30:05,720 --> 01:30:08,280
Speaker 4: most of in the world is other people.

1995
01:30:08,479 --> 01:30:10,400
Speaker 1: Yes, we go too many.

1996
01:30:10,520 --> 01:30:13,599
Speaker 2: We are literally the most second only to other chickens.

1997
01:30:13,840 --> 01:30:17,280
Speaker 4: And the whole idea of replacing people with technology at

1998
01:30:17,280 --> 01:30:20,320
Speaker 4: all is insane because we've got eight billion of us

1999
01:30:20,439 --> 01:30:22,799
Speaker 4: up from six billion when I was in like high school.

2000
01:30:23,200 --> 01:30:26,439
Speaker 4: And guess what, they're cheap, Like you want one in America,

2001
01:30:26,479 --> 01:30:28,120
Speaker 4: you can get one for seven bucks an hour and

2002
01:30:28,160 --> 01:30:30,000
Speaker 4: they'll do whatever the fuck you want, you know, Like

2003
01:30:30,040 --> 01:30:34,840
Speaker 4: that's and by the way, even when it comes to

2004
01:30:35,360 --> 01:30:38,559
Speaker 4: like companionship, right, there's a role for people to do

2005
01:30:38,640 --> 01:30:41,960
Speaker 4: that commercially. I'm friends with women who are sex workers,

2006
01:30:42,000 --> 01:30:44,760
Speaker 4: and they see at least a couple of them as like, look,

2007
01:30:44,760 --> 01:30:46,680
Speaker 4: there's guys who like they need love and sex. It's

2008
01:30:46,720 --> 01:30:49,320
Speaker 4: a human need. They like have their neurodivergent or have

2009
01:30:49,400 --> 01:30:51,720
Speaker 4: some other issue in such a way, and I can

2010
01:30:51,760 --> 01:30:54,280
Speaker 4: provide a service and they get something out of it.

2011
01:30:54,280 --> 01:30:57,639
Speaker 4: It's reciprocry. That's the best version of it, right, et cetera.

2012
01:30:58,960 --> 01:31:01,160
Speaker 4: I could go into but like that's a real that's

2013
01:31:01,200 --> 01:31:04,519
Speaker 4: a real that's a uh, that's like an occupation that

2014
01:31:04,640 --> 01:31:08,280
Speaker 4: stigmatized in our society. Yeah, but like it's a real

2015
01:31:08,360 --> 01:31:11,840
Speaker 4: thing that a human could do better. Un Yeah, the

2016
01:31:11,880 --> 01:31:13,519
Speaker 4: idea that we're replacing people as insane.

2017
01:31:13,600 --> 01:31:15,519
Speaker 5: Yeah. There is a difference, though, I think between like

2018
01:31:15,680 --> 01:31:20,840
Speaker 5: the the loneliness epidemic and like the socialization problem. Like

2019
01:31:20,880 --> 01:31:22,880
Speaker 5: there were guys who have plenty of friends just have

2020
01:31:22,960 --> 01:31:24,640
Speaker 5: trouble with women, so they go to sex workers, and

2021
01:31:24,680 --> 01:31:27,000
Speaker 5: that's that's fine, and hopefully they don't you know, they

2022
01:31:27,040 --> 01:31:29,880
Speaker 5: are normal people other than that. But you know, but

2023
01:31:29,920 --> 01:31:32,880
Speaker 5: the socialization thing, these people who aren't even thinking about,

2024
01:31:33,200 --> 01:31:36,800
Speaker 5: you know, interacting with another woman even for pay like this.

2025
01:31:37,040 --> 01:31:39,920
Speaker 5: These are people who who just want to control something

2026
01:31:40,000 --> 01:31:43,000
Speaker 5: because they don't even want to. I don't think they

2027
01:31:43,000 --> 01:31:44,880
Speaker 5: want to fix the socialization problem, because why would you

2028
01:31:44,960 --> 01:31:46,960
Speaker 5: buy a woman in a box? If you're like, I'm

2029
01:31:46,960 --> 01:31:49,040
Speaker 5: socially awkward, I need to talk to someone. That doesn't

2030
01:31:49,080 --> 01:31:51,439
Speaker 5: solve your issue. That's not even something that gets you

2031
01:31:51,439 --> 01:31:52,400
Speaker 5: in that direction in my.

2032
01:31:52,360 --> 01:31:56,360
Speaker 1: Opinion, I just I don't think it doesn't involve any introspection, right,

2033
01:31:56,439 --> 01:31:59,160
Speaker 1: it's just about I got a thing that kind of

2034
01:31:59,200 --> 01:32:01,400
Speaker 1: solves the problem so that I don't have to think

2035
01:32:01,400 --> 01:32:03,000
Speaker 1: about solving the problem.

2036
01:32:03,160 --> 01:32:06,000
Speaker 5: Right, Like many people online like that's a fairly new thing.

2037
01:32:06,040 --> 01:32:08,920
Speaker 5: And you know what, it solved a lot you Actually

2038
01:32:09,040 --> 01:32:13,080
Speaker 5: it's technology. You use technology to actually enhance your real life,

2039
01:32:13,080 --> 01:32:13,960
Speaker 5: your your real work.

2040
01:32:14,080 --> 01:32:16,519
Speaker 1: Every single person in this room who has been on

2041
01:32:16,560 --> 01:32:20,120
Speaker 1: this show, including Phil, who I've known for fourteen years,

2042
01:32:20,320 --> 01:32:23,080
Speaker 1: I know through the Internet, right, every single fucking one.

2043
01:32:23,160 --> 01:32:27,400
Speaker 1: I'm like the drill crying tweet. It's like my beautiful

2044
01:32:27,400 --> 01:32:30,040
Speaker 1: wife crying, my job, crying, my watch, crying. Now get

2045
01:32:30,040 --> 01:32:32,440
Speaker 1: the fuck out of my office. But that with the Internet,

2046
01:32:32,600 --> 01:32:35,439
Speaker 1: and it's like, it is difficult. I'm not pretending like

2047
01:32:35,479 --> 01:32:38,559
Speaker 1: loneliness isn't like a thing, but I fuck it. I

2048
01:32:38,640 --> 01:32:41,280
Speaker 1: resent the male loneliness thing because women get lonely too,

2049
01:32:41,479 --> 01:32:44,160
Speaker 1: and they solve it in a vastly different way. And

2050
01:32:44,200 --> 01:32:48,320
Speaker 1: there's not just a series of different cons set up

2051
01:32:48,320 --> 01:32:49,120
Speaker 1: to corn a woman.

2052
01:32:49,160 --> 01:32:50,160
Speaker 3: It's being like you want.

2053
01:32:49,960 --> 01:32:52,320
Speaker 1: A husband tube, right, you want that? Do you want

2054
01:32:52,320 --> 01:32:53,080
Speaker 1: the man tube?

2055
01:32:53,080 --> 01:32:55,320
Speaker 5: There is none, right, there's nothing that no one putting

2056
01:32:55,320 --> 01:32:56,080
Speaker 5: in a guy in a box.

2057
01:32:56,280 --> 01:32:58,040
Speaker 1: That's no one saying that because women have put in

2058
01:32:58,080 --> 01:32:59,800
Speaker 1: a position where them it's work them meant to fucking

2059
01:32:59,800 --> 01:33:02,160
Speaker 1: work out. Women have to fucking work out women And

2060
01:33:02,240 --> 01:33:04,120
Speaker 1: tell it's your fucking fool lonely? Why are you?

2061
01:33:04,400 --> 01:33:05,200
Speaker 3: Why are you too emotional?

2062
01:33:05,240 --> 01:33:05,560
Speaker 1: Why this?

2063
01:33:05,640 --> 01:33:06,040
Speaker 3: Why are you that?

2064
01:33:06,400 --> 01:33:09,160
Speaker 1: Fucking just it pisses me off because it's like these

2065
01:33:09,200 --> 01:33:13,120
Speaker 1: whindy fucking men who are like, oh, yeah, I'm fucking

2066
01:33:13,160 --> 01:33:16,720
Speaker 1: loneli and also I'm gonna become racist and it's just

2067
01:33:16,880 --> 01:33:20,080
Speaker 1: fuck hot. I'm sorry. I have some very spicy feelings

2068
01:33:20,080 --> 01:33:22,040
Speaker 1: about this because I went through the actual work and

2069
01:33:22,080 --> 01:33:23,559
Speaker 1: it was very difficult and annoying.

2070
01:33:23,800 --> 01:33:26,000
Speaker 5: I agree. I fully agree with you. I think, you know,

2071
01:33:26,360 --> 01:33:29,160
Speaker 5: I don't think they consider the fact that women are

2072
01:33:29,200 --> 01:33:33,479
Speaker 5: are can be lonely, like it's not because in a

2073
01:33:33,520 --> 01:33:36,599
Speaker 5: lonely guy's world they think, and you see this online

2074
01:33:36,640 --> 01:33:38,439
Speaker 5: all the time because you could see how angry they

2075
01:33:38,479 --> 01:33:41,000
Speaker 5: get when oh, a woman decides to like start an

2076
01:33:41,040 --> 01:33:42,960
Speaker 5: only fans and they are successful and they make money

2077
01:33:43,000 --> 01:33:45,360
Speaker 5: doing that. They're like, oh, it's so easy for women.

2078
01:33:45,680 --> 01:33:47,840
Speaker 5: They just go out there and they could talk to anybody,

2079
01:33:47,880 --> 01:33:49,760
Speaker 5: and every guy will want to talk with them. And

2080
01:33:49,800 --> 01:33:52,040
Speaker 5: it's like, you know, but you could just go out

2081
01:33:52,040 --> 01:33:53,880
Speaker 5: there and talk to what's nothing.

2082
01:33:53,720 --> 01:33:56,040
Speaker 3: Stopping Oh I'm going to say something really out there.

2083
01:33:56,439 --> 01:33:59,000
Speaker 1: Every guy who says that get on only fans start

2084
01:33:59,040 --> 01:34:02,719
Speaker 1: selling pictures of your car. I'm serious, I'm actually fucking serious.

2085
01:34:04,280 --> 01:34:09,599
Speaker 2: Who they would never there because gay is bad? Because

2086
01:34:09,800 --> 01:34:12,520
Speaker 2: why is gay bad? Because it is close to women.

2087
01:34:12,960 --> 01:34:16,120
Speaker 1: It's feminine. You can possibly look at a man's penis

2088
01:34:16,880 --> 01:34:17,760
Speaker 1: might turn gay.

2089
01:34:18,080 --> 01:34:21,920
Speaker 2: Yeah, I mean, it's it's just comes down to the

2090
01:34:22,040 --> 01:34:26,800
Speaker 2: like such foundational views. It's the it's the it's the

2091
01:34:26,840 --> 01:34:30,920
Speaker 2: most foundational framing of women in society, which is women

2092
01:34:31,200 --> 01:34:35,760
Speaker 2: are uh there to be consumed and men are there

2093
01:34:35,800 --> 01:34:41,120
Speaker 2: to consume. Yeah, And it's so deeply fucked up, and

2094
01:34:41,160 --> 01:34:45,040
Speaker 2: it holds, it kills, It kills women and arguably it

2095
01:34:45,120 --> 01:34:46,599
Speaker 2: kills men.

2096
01:34:46,720 --> 01:34:49,559
Speaker 5: Yeah, thank you Adam for staking the men.

2097
01:34:50,200 --> 01:34:54,000
Speaker 4: Well, you know, I think that the point you make

2098
01:34:54,080 --> 01:34:55,720
Speaker 4: is you guys can you can go and talk to

2099
01:34:55,760 --> 01:34:58,519
Speaker 4: anybody and the time is true to me, It's it's

2100
01:34:58,560 --> 01:35:02,160
Speaker 4: similar to a lot of other social problems like you know,

2101
01:35:02,200 --> 01:35:05,519
Speaker 4: poor nutrition, people being in poor shape, not exercising right. Yes,

2102
01:35:05,560 --> 01:35:09,200
Speaker 4: anyone can eat better and jog or whatever. And also

2103
01:35:09,680 --> 01:35:12,680
Speaker 4: some people grow up in an environment where everything that

2104
01:35:12,720 --> 01:35:15,519
Speaker 4: they're ever told, every product they ever purchased, their entire

2105
01:35:15,560 --> 01:35:18,400
Speaker 4: environment is pushing them away from doing that thing, and

2106
01:35:18,400 --> 01:35:20,680
Speaker 4: they just never get around to it. So like my

2107
01:35:20,840 --> 01:35:23,920
Speaker 4: dad has no friends, my mom has twenty friends, not

2108
01:35:23,960 --> 01:35:25,840
Speaker 4: because my dad's a piece of shit, just that's the

2109
01:35:25,840 --> 01:35:28,760
Speaker 4: way American society is structured. And so yes, my dad

2110
01:35:28,800 --> 01:35:32,559
Speaker 4: has a responsibility. And also society can look at this

2111
01:35:32,640 --> 01:35:34,639
Speaker 4: overall problem. But what the fuck are we doing wrong

2112
01:35:34,720 --> 01:35:39,040
Speaker 4: here that's causing this like demographic problem. And the answer

2113
01:35:39,120 --> 01:35:41,760
Speaker 4: is not wife who's in tubes? The answer is like

2114
01:35:41,840 --> 01:35:44,479
Speaker 4: connecting people with other people vices?

2115
01:35:44,560 --> 01:35:46,960
Speaker 5: But also is is your dad lonely? Like there's some

2116
01:35:46,960 --> 01:35:47,679
Speaker 5: people who's.

2117
01:35:47,439 --> 01:35:51,519
Speaker 1: Prefer actually just my father, my family.

2118
01:35:51,600 --> 01:35:53,600
Speaker 5: Like for it to be a socialization problem, you have

2119
01:35:53,680 --> 01:35:58,520
Speaker 5: to be a lonely guy who's upset you're alone, you feeling.

2120
01:35:57,920 --> 01:36:00,799
Speaker 1: Like you're alone and not trying to change that, right.

2121
01:36:00,760 --> 01:36:02,800
Speaker 5: Right, right, because because if there are people who are

2122
01:36:02,840 --> 01:36:05,680
Speaker 5: completely content being isolated, and they don't view themselves as that,

2123
01:36:05,720 --> 01:36:07,640
Speaker 5: but like you know, they prefer to stay in then

2124
01:36:07,680 --> 01:36:09,600
Speaker 5: go out and hang out or party like they like

2125
01:36:09,640 --> 01:36:12,639
Speaker 5: their time to themselves, and that's completely fine. But there's

2126
01:36:12,680 --> 01:36:16,479
Speaker 5: people who are inside and are angry they're inside and alone,

2127
01:36:16,520 --> 01:36:17,360
Speaker 5: and that's the difference.

2128
01:36:17,400 --> 01:36:17,679
Speaker 4: I think.

2129
01:36:17,720 --> 01:36:19,640
Speaker 3: So yeah, so I hate to do this.

2130
01:36:19,720 --> 01:36:22,439
Speaker 1: We're going to rotate again coming up and ad for

2131
01:36:22,600 --> 01:36:23,960
Speaker 1: men and women.

2132
01:36:24,120 --> 01:36:24,840
Speaker 4: Whoa like.

2133
01:36:26,880 --> 01:36:29,000
Speaker 3: They got them for both birds and the fellers.

2134
01:36:29,120 --> 01:36:44,320
Speaker 1: Now, wow, we're in the fourth quarter and I haven't

2135
01:36:44,360 --> 01:36:46,800
Speaker 1: had any war. That's actually true. I have not drunk

2136
01:36:46,840 --> 01:36:49,320
Speaker 1: a drop of war. I think I've had eleven diet code.

2137
01:36:49,360 --> 01:36:50,479
Speaker 1: Do you have a bottle of water?

2138
01:36:50,520 --> 01:36:51,040
Speaker 5: Next?

2139
01:36:51,200 --> 01:36:54,960
Speaker 1: Yeah, it's mostly I just like to sit with it. Okay,

2140
01:36:55,000 --> 01:36:57,760
Speaker 1: we're back's better offline and we'd talk about my lonely

2141
01:36:57,760 --> 01:36:58,360
Speaker 1: this epidemic.

2142
01:36:58,400 --> 01:37:00,240
Speaker 3: I guess we're back. And of course with a meeting

2143
01:37:00,240 --> 01:37:02,200
Speaker 3: an actress Chloe Radcliffe.

2144
01:37:01,640 --> 01:37:05,360
Speaker 1: We will let you do your plagues plags. Do your plags. Yeah,

2145
01:37:05,600 --> 01:37:08,400
Speaker 1: you plagues plagues at the end, and you, of course

2146
01:37:08,640 --> 01:37:11,559
Speaker 1: Adam Connor a stand up comedian, Hello, and of course

2147
01:37:11,600 --> 01:37:13,800
Speaker 1: the host of the Factory broadcast. And we're actually joined

2148
01:37:13,800 --> 01:37:17,040
Speaker 1: by Ben, my good mate Ben Rudolph is there, CEO

2149
01:37:17,200 --> 01:37:18,000
Speaker 1: of Cartographic.

2150
01:37:18,000 --> 01:37:19,599
Speaker 3: And you did fifteen years at Microsoft.

2151
01:37:19,720 --> 01:37:20,280
Speaker 6: I sure did.

2152
01:37:20,479 --> 01:37:22,240
Speaker 3: You did the poff of Windows Vista.

2153
01:37:22,320 --> 01:37:24,720
Speaker 6: You were saying, enterprise pr for Windows Vista the worst

2154
01:37:24,760 --> 01:37:25,479
Speaker 6: job in the company.

2155
01:37:25,600 --> 01:37:28,160
Speaker 3: But it's honestly though, that's the most poff thing.

2156
01:37:28,200 --> 01:37:28,400
Speaker 2: You like.

2157
01:37:28,439 --> 01:37:30,559
Speaker 1: You all always have one. Yeah, you have one thing.

2158
01:37:30,920 --> 01:37:33,519
Speaker 1: I made it though you made it and you're still smiling.

2159
01:37:33,800 --> 01:37:36,759
Speaker 1: I'm here, but that's like, it's Jermaine's what we're talking about,

2160
01:37:36,840 --> 01:37:39,920
Speaker 1: like positive male role models, positive male discussions. Because I

2161
01:37:39,960 --> 01:37:41,599
Speaker 1: brought you, because you're a good mate and we've done

2162
01:37:41,640 --> 01:37:44,040
Speaker 1: a lot, like we're friends online and you've talked to

2163
01:37:44,080 --> 01:37:46,719
Speaker 1: me about fitness and being like you've genuinely changed my life,

2164
01:37:47,200 --> 01:37:49,440
Speaker 1: like helping me build a workout routine.

2165
01:37:49,640 --> 01:37:51,479
Speaker 3: This so like you. My relationship with you.

2166
01:37:51,400 --> 01:37:55,240
Speaker 1: Solved more male loneliness than any like romantic relationship have ever.

2167
01:37:55,479 --> 01:37:59,760
Speaker 2: Are you Are you a fitness coach?

2168
01:38:00,200 --> 01:38:01,960
Speaker 4: Are you just for no?

2169
01:38:02,360 --> 01:38:03,559
Speaker 6: Not really no at all.

2170
01:38:04,080 --> 01:38:05,639
Speaker 1: He's just and just to give you a Nightea. Ben

2171
01:38:05,720 --> 01:38:07,679
Speaker 1: is fucking like jacked. It's awesome.

2172
01:38:08,320 --> 01:38:11,680
Speaker 6: I'm trying every day and to get a little bit more,

2173
01:38:11,760 --> 01:38:12,360
Speaker 6: a little bit more.

2174
01:38:12,439 --> 01:38:13,160
Speaker 1: Yea, yeah, no I'm not.

2175
01:38:13,240 --> 01:38:15,360
Speaker 6: I'm not a fitness coach at all. I uh, I

2176
01:38:15,400 --> 01:38:17,840
Speaker 6: love lifting weights. I try and keep myself in shape.

2177
01:38:17,880 --> 01:38:21,280
Speaker 6: I've got nine kids, so yeah, so I had a

2178
01:38:21,320 --> 01:38:23,880
Speaker 6: lot of people who are dependent on me lift up.

2179
01:38:25,320 --> 01:38:28,639
Speaker 6: It's a lot of exactly and not a functional fitness

2180
01:38:28,920 --> 01:38:31,400
Speaker 6: Oh but seriously, like it's great for my health. It's

2181
01:38:31,439 --> 01:38:32,280
Speaker 6: great for my mental health.

2182
01:38:32,479 --> 01:38:33,280
Speaker 3: Yeah, it's great for my.

2183
01:38:33,240 --> 01:38:36,759
Speaker 6: Family, you know, and like you d like, it solves

2184
01:38:36,800 --> 01:38:40,719
Speaker 6: as many mental challenges for me as it does physical challenges,

2185
01:38:40,760 --> 01:38:42,120
Speaker 6: So like it's not a career for me. It's just

2186
01:38:42,120 --> 01:38:45,240
Speaker 6: something I really enjoy doing. And it's so deeply ingrained

2187
01:38:45,280 --> 01:38:48,800
Speaker 6: into my day to day routine that I really can't

2188
01:38:48,920 --> 01:38:50,280
Speaker 6: imagine living without it.

2189
01:38:50,439 --> 01:38:53,840
Speaker 1: Yeah, And we met over X the Everything app and

2190
01:38:54,280 --> 01:38:57,080
Speaker 1: The Ultimate Post the Championship with the You Me Caleb

2191
01:38:57,120 --> 01:39:00,200
Speaker 1: and Tachiana, and we just talked fitness and like, ick

2192
01:39:00,280 --> 01:39:03,280
Speaker 1: up my body real bad doing connected fitness stuff. Actually,

2193
01:39:03,320 --> 01:39:05,640
Speaker 1: who was like fight Camp and Tonal and I was

2194
01:39:05,720 --> 01:39:07,360
Speaker 1: lifting real hard. I was not in a good place

2195
01:39:07,560 --> 01:39:09,000
Speaker 1: and I kind of went to bed. I'm like this

2196
01:39:09,080 --> 01:39:11,400
Speaker 1: keeps happening and I keep getting this pain. And Ben

2197
01:39:11,520 --> 01:39:13,960
Speaker 1: just sends me a video of him and his son.

2198
01:39:13,960 --> 01:39:15,360
Speaker 1: He's like, I'm gonna show you how to throw a punch,

2199
01:39:15,400 --> 01:39:17,320
Speaker 1: and it was lovely, like someone's like you ready, and

2200
01:39:17,360 --> 01:39:20,120
Speaker 1: he just threw this perfect like spiral punch and went, wow,

2201
01:39:20,120 --> 01:39:23,559
Speaker 1: I've been punching wrong for several months because you need

2202
01:39:23,600 --> 01:39:26,040
Speaker 1: to like rotate your hips and such. And it's just

2203
01:39:26,080 --> 01:39:28,840
Speaker 1: like It's one of the things I cherish because it's

2204
01:39:28,880 --> 01:39:31,519
Speaker 1: like a wonderful relationship over the internet, for sure, a

2205
01:39:31,520 --> 01:39:35,400
Speaker 1: wonderful positive thing based with talking to another bloke about

2206
01:39:35,439 --> 01:39:38,120
Speaker 1: something positive. And I think it's really easy to dilute

2207
01:39:38,160 --> 01:39:40,719
Speaker 1: a lot of loneliness to well, I need a female

2208
01:39:40,800 --> 01:39:43,280
Speaker 1: or a romantic companion. I need someone to make me

2209
01:39:43,320 --> 01:39:46,080
Speaker 1: feel better about myself versus helping me along a journey

2210
01:39:46,200 --> 01:39:49,479
Speaker 1: where I do that work while someone inspires me. Because

2211
01:39:49,520 --> 01:39:52,280
Speaker 1: you're cute and you've done you always post the ones

2212
01:39:52,280 --> 01:39:55,040
Speaker 1: where've got like eighty nine inch by SEPs Us whatever,

2213
01:39:55,200 --> 01:39:57,240
Speaker 1: I think it's lovely. And also I'm saying, if you're

2214
01:39:57,240 --> 01:39:59,200
Speaker 1: listening to this as a man and you're saying, oh,

2215
01:39:59,240 --> 01:40:01,479
Speaker 1: I'm lonely, as go and talk to another fella, ask

2216
01:40:01,560 --> 01:40:04,000
Speaker 1: him how he's feeling, talk to him about how you feel,

2217
01:40:04,080 --> 01:40:06,400
Speaker 1: don't fucking say I need the wife tube.

2218
01:40:06,760 --> 01:40:11,040
Speaker 2: And now I do think, Okay, so again I'm trying.

2219
01:40:11,280 --> 01:40:16,080
Speaker 2: I'm I really am keeping central in my vision, thinking

2220
01:40:16,080 --> 01:40:18,280
Speaker 2: about the other perspective and being as fair as possible.

2221
01:40:18,439 --> 01:40:20,680
Speaker 2: So if I'm a man listening to this podcast and

2222
01:40:20,720 --> 01:40:23,519
Speaker 2: I'm like, I'm lonely, and Ed's advice is go tell

2223
01:40:23,560 --> 01:40:25,160
Speaker 2: another man how you're feeling.

2224
01:40:25,680 --> 01:40:26,920
Speaker 5: I think that the gap.

2225
01:40:27,360 --> 01:40:29,840
Speaker 2: Between where a lot of men exist and being able

2226
01:40:29,880 --> 01:40:32,920
Speaker 2: to tell another man how you're feeling is pretty deep.

2227
01:40:33,160 --> 01:40:34,880
Speaker 3: I'm going to say something simple.

2228
01:40:34,960 --> 01:40:35,639
Speaker 4: It's hard to do.

2229
01:40:35,800 --> 01:40:38,320
Speaker 1: If you really can't, email me easy at better offline

2230
01:40:38,320 --> 01:40:40,800
Speaker 1: dot com. I'm not fucking kidding. Signal me easier on

2231
01:40:41,040 --> 01:40:42,599
Speaker 1: seventy six. If you really want to talk about your

2232
01:40:42,600 --> 01:40:45,280
Speaker 1: emotions and you're too scared because your cowardly male friends

2233
01:40:45,720 --> 01:40:47,160
Speaker 1: are not in touch with their things, do it. I

2234
01:40:47,200 --> 01:40:49,640
Speaker 1: don't care you cry. I cry when I fucking need to.

2235
01:40:49,720 --> 01:40:53,840
Speaker 1: I'm fucking you. Solve this by facing the problem by

2236
01:40:53,880 --> 01:40:54,519
Speaker 1: doing stuff well.

2237
01:40:54,560 --> 01:40:55,280
Speaker 5: We solve this way.

2238
01:40:55,479 --> 01:40:58,559
Speaker 1: I have that weight issues, and honestly, you help me.

2239
01:40:58,600 --> 01:41:01,559
Speaker 1: Ben turn weightlifting into I lift light now, i'd lift volume.

2240
01:41:01,760 --> 01:41:05,000
Speaker 1: It's about completing things, it's about building something rather than

2241
01:41:05,240 --> 01:41:06,479
Speaker 1: thrashing my fucking body.

2242
01:41:06,560 --> 01:41:08,320
Speaker 4: But I think we need to I think we have

2243
01:41:08,400 --> 01:41:12,519
Speaker 4: to start by recognizing that it is difficult for men

2244
01:41:12,720 --> 01:41:15,240
Speaker 4: for some reason, that we could get into Me and

2245
01:41:15,280 --> 01:41:17,320
Speaker 4: one of my best friends, I've known him for twenty years.

2246
01:41:17,400 --> 01:41:20,840
Speaker 4: I see him twice a week at minimum. We're both

2247
01:41:20,880 --> 01:41:24,360
Speaker 4: in therapy. We're progressive guys. We care about our emotions.

2248
01:41:24,640 --> 01:41:29,200
Speaker 4: He number of years ago, seven years or so, got divorced,

2249
01:41:29,479 --> 01:41:31,880
Speaker 4: didn't tell me for a year, you know, christ Like

2250
01:41:32,120 --> 01:41:33,640
Speaker 4: we were on a hike and he was finally like,

2251
01:41:34,000 --> 01:41:35,680
Speaker 4: I want to let you know, like me and her

2252
01:41:35,720 --> 01:41:37,599
Speaker 4: are separated, and I was like, yeah, man, I haven't

2253
01:41:37,600 --> 01:41:40,280
Speaker 4: seen her around. I know, but we didn't talk about it.

2254
01:41:40,400 --> 01:41:42,920
Speaker 4: Then I went through a big breakup, like a year

2255
01:41:42,920 --> 01:41:44,479
Speaker 4: and a half ago, and he's had to come to

2256
01:41:44,520 --> 01:41:47,719
Speaker 4: me and occasionally go like, hey, man, how are you doing?

2257
01:41:48,439 --> 01:41:51,959
Speaker 4: You know, like we haven't talked lately, and we everything.

2258
01:41:52,320 --> 01:41:54,800
Speaker 4: For some reason, we have to remind each other and

2259
01:41:54,840 --> 01:41:57,360
Speaker 4: we do it less than we But actually, yeah, you're right.

2260
01:41:57,560 --> 01:41:59,639
Speaker 4: I think I get that you need to remind.

2261
01:42:00,120 --> 01:42:05,479
Speaker 2: The solution there might be ask your friend a question

2262
01:42:05,640 --> 01:42:09,200
Speaker 2: that sounds simple. Yeah, that and this is not necessarily

2263
01:42:09,280 --> 01:42:11,920
Speaker 2: like how do you tell your friends how you're feeling?

2264
01:42:11,960 --> 01:42:15,160
Speaker 2: This likely will open up a conversation. But like your

2265
01:42:15,200 --> 01:42:17,639
Speaker 2: friend saying, hey, how are you doing?

2266
01:42:17,680 --> 01:42:18,400
Speaker 1: Post breakup?

2267
01:42:19,600 --> 01:42:23,360
Speaker 2: Arguably you it's it sounds like you had noticed that

2268
01:42:23,400 --> 01:42:26,800
Speaker 2: something had gone weird in his marriage. You hadn't seen

2269
01:42:26,840 --> 01:42:29,000
Speaker 2: his wife around for a long time, but it sounds

2270
01:42:29,040 --> 01:42:31,240
Speaker 2: like you didn't say, like, how are things with you

2271
01:42:31,320 --> 01:42:31,760
Speaker 2: and my wife?

2272
01:42:31,800 --> 01:42:34,000
Speaker 4: Yeah, I didn't say anything to him either, and.

2273
01:42:33,920 --> 01:42:36,240
Speaker 2: So to me, it's like asking that question, even if

2274
01:42:36,280 --> 01:42:39,280
Speaker 2: that feels so like such a steep hill to climb,

2275
01:42:39,320 --> 01:42:42,160
Speaker 2: Like I've I've been as a as a woman with feelings.

2276
01:42:42,479 --> 01:42:45,160
Speaker 2: I've been in conversations with my girlfriends who I'm super

2277
01:42:45,160 --> 01:42:47,759
Speaker 2: super close with where I'm like, god, it is really

2278
01:42:47,760 --> 01:42:50,599
Speaker 2: fucking hard to be like anyways, so how is your

2279
01:42:50,680 --> 01:42:51,519
Speaker 2: marriage doing?

2280
01:42:52,960 --> 01:42:53,479
Speaker 5: Like that?

2281
01:42:53,479 --> 01:42:54,280
Speaker 1: That seems like.

2282
01:42:55,960 --> 01:42:58,639
Speaker 2: It seems like if the answer is good, then I'm

2283
01:42:58,680 --> 01:43:01,519
Speaker 2: like opening suspicion into an area that I don't need

2284
01:43:01,520 --> 01:43:04,120
Speaker 2: to be opening suspicion into. If the marriage is bad,

2285
01:43:04,439 --> 01:43:06,240
Speaker 2: if she's not telling me, there must be a reason

2286
01:43:06,320 --> 01:43:08,479
Speaker 2: she's not telling me. But the answer is actually just

2287
01:43:08,720 --> 01:43:11,439
Speaker 2: we are sort of all socialized to not reveal a

2288
01:43:11,439 --> 01:43:14,280
Speaker 2: lot of that information. And then women have been permitted

2289
01:43:14,360 --> 01:43:17,080
Speaker 2: to be like we have been sort of saddled with

2290
01:43:17,120 --> 01:43:19,680
Speaker 2: the their emotional and their dramatic But what that the

2291
01:43:20,120 --> 01:43:23,280
Speaker 2: light side of that is that we are permitted to

2292
01:43:23,400 --> 01:43:26,639
Speaker 2: express difficult things a little bit more easily.

2293
01:43:26,400 --> 01:43:28,040
Speaker 1: And a little bit more Sorry, but we've just stropped

2294
01:43:28,040 --> 01:43:29,560
Speaker 1: you in the middle of Now, this is great, but

2295
01:43:29,960 --> 01:43:31,599
Speaker 1: it's it's like you, you and I.

2296
01:43:31,600 --> 01:43:34,640
Speaker 6: I mean, I think men and Jack are you know,

2297
01:43:34,680 --> 01:43:37,920
Speaker 6: we're supposed to be strong, physically strong, mentally strong, spiritually strong,

2298
01:43:37,960 --> 01:43:41,320
Speaker 6: all those things. You and I started talking not just

2299
01:43:41,360 --> 01:43:43,879
Speaker 6: about fitness, but when you were like, hey, I struggled

2300
01:43:43,880 --> 01:43:46,320
Speaker 6: with my weight. Yeah, like I was able to say, like,

2301
01:43:46,600 --> 01:43:49,000
Speaker 6: I struggled with my weight too, like, yeah, it's been

2302
01:43:49,000 --> 01:43:51,280
Speaker 6: two thousand and nine or so, I lost about seventy pounds.

2303
01:43:51,720 --> 01:43:52,439
Speaker 4: I was big.

2304
01:43:52,920 --> 01:43:54,519
Speaker 1: So I gave us, which for you is like one

2305
01:43:54,600 --> 01:43:57,840
Speaker 1: percent of your body mass, yeah, wund Yeah, but it's

2306
01:43:57,880 --> 01:43:58,439
Speaker 1: all muscle.

2307
01:43:58,720 --> 01:44:03,280
Speaker 6: Yeah, more more now than he's used to. But that

2308
01:44:03,280 --> 01:44:05,760
Speaker 6: gave us an opportunity to like to talk over that,

2309
01:44:06,080 --> 01:44:07,880
Speaker 6: and that was like something that we could bond over

2310
01:44:07,960 --> 01:44:10,000
Speaker 6: and something we could you know, you're not the only

2311
01:44:10,040 --> 01:44:13,360
Speaker 6: person and that we can do. And like, I still

2312
01:44:13,400 --> 01:44:14,840
Speaker 6: always feel like the fat kids.

2313
01:44:14,880 --> 01:44:17,360
Speaker 3: I was saying, Oh, absolutely feel fat all the time.

2314
01:44:17,360 --> 01:44:20,080
Speaker 1: I feel fat right now and it's weird, right, and

2315
01:44:20,120 --> 01:44:21,000
Speaker 1: I always do.

2316
01:44:21,200 --> 01:44:23,479
Speaker 6: And it's always like ways on me because I was

2317
01:44:23,520 --> 01:44:25,960
Speaker 6: a heavy kid and you're my twenties and I didn't

2318
01:44:25,960 --> 01:44:27,840
Speaker 6: really turn it around till it's about thirty years old.

2319
01:44:28,320 --> 01:44:29,800
Speaker 6: And once you figure that out and you find out

2320
01:44:29,800 --> 01:44:31,280
Speaker 6: that other people have gone through the same thing, then

2321
01:44:31,280 --> 01:44:33,120
Speaker 6: all of a sudden you can have a very different

2322
01:44:33,120 --> 01:44:35,880
Speaker 6: conversation about it. And it's not about lifting to go

2323
01:44:35,960 --> 01:44:38,800
Speaker 6: in the mister Olympia, and it's not about trying to

2324
01:44:38,840 --> 01:44:41,040
Speaker 6: as set a bench press record. It's really it's about,

2325
01:44:41,040 --> 01:44:44,160
Speaker 6: like you know, trying to build yourself up as much

2326
01:44:44,160 --> 01:44:45,960
Speaker 6: physically as it is mentally, and other people are trying

2327
01:44:46,000 --> 01:44:47,160
Speaker 6: to You're just trying to get through the day. And

2328
01:44:47,240 --> 01:44:48,040
Speaker 6: also it's okay.

2329
01:44:48,200 --> 01:44:51,519
Speaker 1: I will say in my experience pushing a little further

2330
01:44:51,560 --> 01:44:54,080
Speaker 1: on guys being like are you really okay? So a

2331
01:44:54,120 --> 01:44:56,000
Speaker 1: lot of guys will open up and be like, I'm not,

2332
01:44:56,200 --> 01:44:59,880
Speaker 1: and you have a nice conversation and you'll work. I'm

2333
01:45:00,160 --> 01:45:03,599
Speaker 1: The feminization of emotion is disgusting because it's like, oh

2334
01:45:03,640 --> 01:45:05,880
Speaker 1: my god, the amount of times artcrime and my my

2335
01:45:05,920 --> 01:45:08,559
Speaker 1: ole friends and vice versa, and it's felt so much

2336
01:45:08,560 --> 01:45:09,080
Speaker 1: fucking better.

2337
01:45:09,120 --> 01:45:10,200
Speaker 3: Well, when I've cried in front.

2338
01:45:10,000 --> 01:45:12,920
Speaker 1: Of you, client, I've cried close to how we met.

2339
01:45:13,000 --> 01:45:14,320
Speaker 3: It is like two days later.

2340
01:45:15,120 --> 01:45:17,479
Speaker 1: But it's great and it's good, and it's just it's

2341
01:45:17,560 --> 01:45:21,400
Speaker 1: really easy to find other stop gaps, and I want

2342
01:45:21,400 --> 01:45:24,360
Speaker 1: to be clear, like these companies are taking advantage of that.

2343
01:45:24,560 --> 01:45:26,960
Speaker 1: They're not, because I wanted to say this last episode

2344
01:45:27,040 --> 01:45:28,760
Speaker 1: is well, it's like the reason that there is a

2345
01:45:28,800 --> 01:45:31,760
Speaker 1: lonely in this epidemic is there are no third spaces,

2346
01:45:31,800 --> 01:45:35,679
Speaker 1: there are fewer walkable cities, and these social networking tools

2347
01:45:35,720 --> 01:45:38,120
Speaker 1: no longer. It is such a fucking like Dennis Leary's

2348
01:45:38,160 --> 01:45:41,040
Speaker 1: doll and a social networking tool don't let you socialize.

2349
01:45:41,080 --> 01:45:43,600
Speaker 1: But really though, you don't have a chronological feed of

2350
01:45:43,640 --> 01:45:45,760
Speaker 1: the people you want to fucking follow on most platforms,

2351
01:45:46,000 --> 01:45:50,479
Speaker 1: there's obstructions between it. There's like random platforms just become racist.

2352
01:45:50,640 --> 01:45:53,280
Speaker 4: They're not designed to get people into physical space, with

2353
01:45:53,280 --> 01:45:56,040
Speaker 4: the exception of dating apps, which are. But even then,

2354
01:45:56,360 --> 01:45:58,840
Speaker 4: like yeah, true, and those are all fucked up and gamified.

2355
01:45:58,880 --> 01:46:01,080
Speaker 4: But like you know, what was the name of the

2356
01:46:01,160 --> 01:46:03,679
Speaker 4: site from like the late nineties or like meetup, dot

2357
01:46:03,680 --> 01:46:04,679
Speaker 4: com or dot org.

2358
01:46:04,560 --> 01:46:06,360
Speaker 1: Do you yeah, me, I think they're still around.

2359
01:46:07,720 --> 01:46:10,479
Speaker 4: Maybe it was literally designed to it was like sort

2360
01:46:10,479 --> 01:46:14,439
Speaker 4: of pre Facebook, designed to be fine stuff to do.

2361
01:46:15,320 --> 01:46:15,719
Speaker 3: Meetups.

2362
01:46:15,760 --> 01:46:19,000
Speaker 1: Yeah, meetups are so like that as a branded name.

2363
01:46:19,200 --> 01:46:22,599
Speaker 4: Okay, well that is the focus of most social networking

2364
01:46:22,600 --> 01:46:24,760
Speaker 4: tools in the early days. Totally, there were a lot

2365
01:46:24,800 --> 01:46:26,320
Speaker 4: that were like, hey, let's get people to meet up

2366
01:46:26,360 --> 01:46:27,960
Speaker 4: in the real world, and now that's the last thing

2367
01:46:28,000 --> 01:46:28,840
Speaker 4: Facebook wants you to do.

2368
01:46:28,960 --> 01:46:30,240
Speaker 3: Yes, And it's just.

2369
01:46:31,000 --> 01:46:33,559
Speaker 1: There are ways that this could be fixed. I don't

2370
01:46:33,840 --> 01:46:36,879
Speaker 1: I'm not an inventor, but I don't know the problem

2371
01:46:36,920 --> 01:46:39,400
Speaker 1: being that men don't want to talk. That's not something

2372
01:46:39,439 --> 01:46:41,000
Speaker 1: that's an analog problem.

2373
01:46:41,320 --> 01:46:44,080
Speaker 5: Yes, I'm just saying, like the prescription.

2374
01:46:43,560 --> 01:46:44,360
Speaker 3: Oh no, I'm agreeing.

2375
01:46:44,439 --> 01:46:47,759
Speaker 2: I'm agreeing, tangible subscription can be ask your male friend

2376
01:46:47,800 --> 01:46:49,360
Speaker 2: a question, any question.

2377
01:46:49,160 --> 01:46:53,120
Speaker 1: A question, Yeah, and also ask ask your girlfriend as

2378
01:46:53,120 --> 01:46:55,879
Speaker 1: well if you have one questions.

2379
01:46:55,240 --> 01:46:58,639
Speaker 2: Asking anyone in your life a questions and actually they

2380
01:46:58,720 --> 01:46:59,680
Speaker 2: will love well.

2381
01:47:00,600 --> 01:47:02,479
Speaker 4: Really, all I want to add to this is I

2382
01:47:02,479 --> 01:47:04,920
Speaker 4: think it needs to start with a recognition that, like,

2383
01:47:05,000 --> 01:47:06,960
Speaker 4: in the same way that when I started working out,

2384
01:47:06,960 --> 01:47:09,400
Speaker 4: I was like, oh, yeah, everything in my life has

2385
01:47:09,400 --> 01:47:11,080
Speaker 4: been telling me to sit on my ass and I

2386
01:47:11,120 --> 01:47:13,160
Speaker 4: have to like make an effort to.

2387
01:47:13,120 --> 01:47:13,639
Speaker 3: Do it right.

2388
01:47:13,760 --> 01:47:15,479
Speaker 4: Well, that's even, but it was a little bit easier

2389
01:47:15,479 --> 01:47:19,040
Speaker 4: because yes, men are supposed to be strong, right, Everything

2390
01:47:19,080 --> 01:47:21,040
Speaker 4: in men's lives are sort of telling them not to

2391
01:47:21,160 --> 01:47:24,519
Speaker 4: open up. It is like a barrier, defensive almost, and

2392
01:47:24,560 --> 01:47:26,320
Speaker 4: like you have to like treat it as like this

2393
01:47:26,479 --> 01:47:28,720
Speaker 4: is not going to be super easy, Like I have

2394
01:47:28,800 --> 01:47:30,680
Speaker 4: to you know, I have to like pry it out

2395
01:47:30,720 --> 01:47:33,439
Speaker 4: of myself and out of my mail, which is why, like,

2396
01:47:33,640 --> 01:47:36,360
Speaker 4: you know, again, my friend to me was like, we

2397
01:47:36,439 --> 01:47:37,120
Speaker 4: need to talk.

2398
01:47:37,320 --> 01:47:40,639
Speaker 2: It's been a while, which is exactly why why I'm saying,

2399
01:47:40,640 --> 01:47:43,360
Speaker 2: and I'm glad they did, And that's exactly why I'm

2400
01:47:43,360 --> 01:47:45,360
Speaker 2: trying to point out the gulf between somebody listening to

2401
01:47:45,400 --> 01:47:48,960
Speaker 2: this and going I feel isolated and the the other

2402
01:47:49,040 --> 01:47:52,519
Speaker 2: side of that crevasse of like just talk about your

2403
01:47:52,520 --> 01:47:54,960
Speaker 2: feelings and that I do think that there's like an

2404
01:47:55,000 --> 01:47:56,280
Speaker 2: easy concrete.

2405
01:47:55,880 --> 01:47:59,080
Speaker 6: You're intentionally opting into something hard, yes, y right, Like

2406
01:47:59,120 --> 01:48:01,280
Speaker 6: that's I mean, and it's it's we are you know,

2407
01:48:01,439 --> 01:48:03,240
Speaker 6: to get too metaphysical, but like we're nothing if they

2408
01:48:03,240 --> 01:48:06,000
Speaker 6: are not challenges for us to yeah attack and doing.

2409
01:48:05,840 --> 01:48:07,960
Speaker 4: Hard things can be rewarded, exactly.

2410
01:48:07,680 --> 01:48:10,240
Speaker 6: Right, And like it is no harder to learn how

2411
01:48:10,280 --> 01:48:12,400
Speaker 6: to bench press than it is to talk about your feelings.

2412
01:48:12,439 --> 01:48:14,439
Speaker 1: These are both hard and with fas as well, I

2413
01:48:14,439 --> 01:48:16,080
Speaker 1: had to like push past the thing of like I

2414
01:48:16,160 --> 01:48:20,480
Speaker 1: have to be strong. It was this incredibly negative relationship

2415
01:48:20,479 --> 01:48:22,280
Speaker 1: I had with my body because I was a fat

2416
01:48:22,320 --> 01:48:24,559
Speaker 1: person that didn't f I was a fat, sedentary piece

2417
01:48:24,560 --> 01:48:27,280
Speaker 1: of shit. Until I got past that, I could not

2418
01:48:27,320 --> 01:48:29,439
Speaker 1: have a body I liked. Until it was about building

2419
01:48:29,439 --> 01:48:33,080
Speaker 1: something and recognizing weakness and the fragility of one's body,

2420
01:48:33,080 --> 01:48:36,000
Speaker 1: but also the fact that going about it and beating

2421
01:48:36,040 --> 01:48:38,720
Speaker 1: the shit out of yourself to become strong is unsustainable

2422
01:48:38,760 --> 01:48:41,120
Speaker 1: because it just means that every like a good thing,

2423
01:48:41,160 --> 01:48:45,280
Speaker 1: a powerful thing, progressive thing, is inherently progressive. You were

2424
01:48:45,320 --> 01:48:48,000
Speaker 1: just hurting yourself. And where is the end point of that?

2425
01:48:48,040 --> 01:48:50,040
Speaker 1: How are you gonna go? Oh, I've reached a good point.

2426
01:48:50,080 --> 01:48:51,720
Speaker 1: It's just you're a piece of shit if you fall

2427
01:48:51,760 --> 01:48:54,240
Speaker 1: below this level. And I fucking thought with that.

2428
01:48:54,640 --> 01:48:56,680
Speaker 6: Yeah, And there's I mean, especially when it comes out

2429
01:48:56,680 --> 01:48:59,000
Speaker 6: like the body dysmorphius stuff and which never stops, right.

2430
01:48:59,040 --> 01:49:01,240
Speaker 6: I mean, there's like there's memes and jokes about it.

2431
01:49:01,240 --> 01:49:03,600
Speaker 6: Like I've been I've been bodybuilding for five years, Like

2432
01:49:03,920 --> 01:49:05,479
Speaker 6: when does the body dys morphia stop?

2433
01:49:05,640 --> 01:49:05,680
Speaker 1: Like?

2434
01:49:05,680 --> 01:49:06,599
Speaker 6: Oh, well it does it?

2435
01:49:06,720 --> 01:49:06,880
Speaker 5: Right?

2436
01:49:06,960 --> 01:49:09,439
Speaker 6: It's like you're just getting started, man, like you uh,

2437
01:49:09,560 --> 01:49:11,400
Speaker 6: you see the guys even not that I would ever

2438
01:49:11,439 --> 01:49:13,160
Speaker 6: advocate for this, but like the guys who are like

2439
01:49:13,400 --> 01:49:16,760
Speaker 6: the pro bodybuildings, the wind shows, and they'd be like,

2440
01:49:16,800 --> 01:49:18,280
Speaker 6: what are you doing him? He's very famous, like Jay

2441
01:49:18,320 --> 01:49:21,360
Speaker 6: Cutler who won Mister Olympia four times. They interviewed him

2442
01:49:21,360 --> 01:49:22,720
Speaker 6: after he won and he was They were like, what

2443
01:49:22,720 --> 01:49:24,479
Speaker 6: are you gonna do to celebrate? He's well, I gotta

2444
01:49:24,520 --> 01:49:26,280
Speaker 6: go to bed early because I got cardio in the morning.

2445
01:49:26,360 --> 01:49:28,640
Speaker 6: And it's like, you just won, like you know, the

2446
01:49:28,680 --> 01:49:31,080
Speaker 6: World Series of Bodybuilding and he's not taking a day

2447
01:49:31,080 --> 01:49:34,040
Speaker 6: off because he was so wrapped into it and so

2448
01:49:34,360 --> 01:49:36,559
Speaker 6: like deep into it that it was just like it's

2449
01:49:36,600 --> 01:49:36,840
Speaker 6: all he.

2450
01:49:36,800 --> 01:49:39,400
Speaker 2: Could think about and like you know, and and there's

2451
01:49:39,439 --> 01:49:41,280
Speaker 2: no finished not to be a woman.

2452
01:49:41,040 --> 01:49:43,559
Speaker 3: About this, please be at I.

2453
01:49:43,640 --> 01:49:48,240
Speaker 2: Just want to state for the record that I I

2454
01:49:48,320 --> 01:49:50,559
Speaker 2: love I am so glad that men are talking about

2455
01:49:50,600 --> 01:49:53,760
Speaker 2: body dysmorphia and the way that body dysmorphia shows up

2456
01:49:53,800 --> 01:49:59,800
Speaker 2: in women is so uh much more socially connected with

2457
01:50:00,080 --> 01:50:05,320
Speaker 2: our value like that like I do not I want

2458
01:50:05,320 --> 01:50:08,799
Speaker 2: to be like I totally get it. I do totally

2459
01:50:08,800 --> 01:50:11,320
Speaker 2: get it, and I get it. I think probably more

2460
01:50:11,400 --> 01:50:16,760
Speaker 2: than you might think I do and then just a

2461
01:50:16,960 --> 01:50:20,639
Speaker 2: quick shout out for the girls that like. Then it

2462
01:50:20,680 --> 01:50:24,160
Speaker 2: is connected to the women are there to be consumed,

2463
01:50:24,680 --> 01:50:30,120
Speaker 2: that like the extra layer of value when you feel

2464
01:50:30,120 --> 01:50:30,360
Speaker 2: about it.

2465
01:50:30,640 --> 01:50:32,519
Speaker 1: Well, it gets back to the wife tube thing, which

2466
01:50:32,720 --> 01:50:35,840
Speaker 1: I'm liking saying that phrase. I guess where it's like, Yeah,

2467
01:50:35,920 --> 01:50:39,679
Speaker 1: it's not a overweight woman, it's not a man. It's

2468
01:50:39,760 --> 01:50:43,840
Speaker 1: a sexualized presentation of the idealistic woman for the certain

2469
01:50:43,840 --> 01:50:47,080
Speaker 1: customer of this thing. Because I am not a woman.

2470
01:50:47,160 --> 01:50:50,120
Speaker 1: I experienced body dysmallphee every day, but I'm not like

2471
01:50:50,439 --> 01:50:53,800
Speaker 1: me being overweight is not the thing that precluded me

2472
01:50:54,240 --> 01:50:57,160
Speaker 1: from being happy. It was how I felt about myself

2473
01:50:57,160 --> 01:50:59,840
Speaker 1: to be cleared, like, I want to feel better about myself,

2474
01:50:59,840 --> 01:51:03,000
Speaker 1: but my value as a man is not directly affected

2475
01:51:03,000 --> 01:51:05,559
Speaker 1: in the exactly way exactly exactly, so when I wanted that,

2476
01:51:05,680 --> 01:51:07,719
Speaker 1: it was not keeping me from job opportunities exactly.

2477
01:51:07,760 --> 01:51:08,240
Speaker 5: That's what it is.

2478
01:51:08,360 --> 01:51:11,120
Speaker 2: It's that, like I think probably the emotional experience of

2479
01:51:11,120 --> 01:51:14,519
Speaker 2: body dysmorphia is very very similar in women and men,

2480
01:51:15,040 --> 01:51:17,479
Speaker 2: and and even the like men are supposed to be

2481
01:51:17,479 --> 01:51:20,080
Speaker 2: strong and so like there is a social value associated

2482
01:51:20,080 --> 01:51:24,160
Speaker 2: with that. But it is that when men fall outside

2483
01:51:24,200 --> 01:51:28,639
Speaker 2: of what we consider the classically attractive bounds, the way

2484
01:51:28,720 --> 01:51:32,920
Speaker 2: that their lives are negatively impacted tend to be much

2485
01:51:33,160 --> 01:51:36,800
Speaker 2: more minimal negative impacts than the way that women's lives

2486
01:51:36,840 --> 01:51:38,000
Speaker 2: are impacted when they fall.

2487
01:51:37,840 --> 01:51:40,599
Speaker 1: Outside of the bounds of class. I would say when

2488
01:51:40,640 --> 01:51:42,840
Speaker 1: I was very three hundred and fifty pounds, there was

2489
01:51:42,840 --> 01:51:46,400
Speaker 1: definitely a level of like respect I didn't get, but

2490
01:51:46,439 --> 01:51:49,240
Speaker 1: it was not like it wasn't to the level where

2491
01:51:49,240 --> 01:51:52,040
Speaker 1: women are just fucking completely excluded if they do not

2492
01:51:52,160 --> 01:51:55,200
Speaker 1: look like the heteronormative idea of what a woman should

2493
01:51:55,200 --> 01:51:57,559
Speaker 1: look like a certain level of thinness and attractiveness and

2494
01:51:58,040 --> 01:51:58,599
Speaker 1: make up.

2495
01:51:58,520 --> 01:51:59,120
Speaker 3: And all of these.

2496
01:51:59,200 --> 01:52:02,519
Speaker 1: Yeah, it's very it's very different. Yeah, or it's just

2497
01:52:02,600 --> 01:52:05,080
Speaker 1: like a whole nother fun Yeah, you get, you get

2498
01:52:05,080 --> 01:52:06,439
Speaker 1: like several more layers of.

2499
01:52:06,840 --> 01:52:08,680
Speaker 4: I mean, look at the look at the people at

2500
01:52:08,680 --> 01:52:11,479
Speaker 4: this conference, and look at the you know, there's people

2501
01:52:11,479 --> 01:52:14,600
Speaker 4: who are there's there's men walking around who are not

2502
01:52:14,640 --> 01:52:18,120
Speaker 4: fitting conventional, conventional notions of what an attractive man is

2503
01:52:18,560 --> 01:52:22,040
Speaker 4: and they're powerful, successful men at this conference, and I

2504
01:52:22,040 --> 01:52:23,800
Speaker 4: think you'd have a hard time finding women are in

2505
01:52:23,840 --> 01:52:27,000
Speaker 4: the same position. Right, Like we're talking about all the

2506
01:52:27,040 --> 01:52:31,839
Speaker 4: other dimensions of you know, uh, of the social value

2507
01:52:31,960 --> 01:52:34,160
Speaker 4: and status like so much more connected for women.

2508
01:52:34,200 --> 01:52:36,839
Speaker 1: Absolutely, and everything goes with women as well as weight

2509
01:52:36,960 --> 01:52:42,240
Speaker 1: loss and thinness and certain presentations and minutes about a

2510
01:52:42,240 --> 01:52:45,679
Speaker 1: certain level of bigness and the metrics are even different.

2511
01:52:45,720 --> 01:52:48,080
Speaker 1: It's just it's I'm glad we're talking about this on

2512
01:52:48,120 --> 01:52:50,240
Speaker 1: the show because I know we probably have more men

2513
01:52:50,280 --> 01:52:52,320
Speaker 1: listening than we do women. I hope, like I would

2514
01:52:52,320 --> 01:52:54,400
Speaker 1: love that not to be the case, But it's about technology.

2515
01:52:54,400 --> 01:52:57,840
Speaker 1: What do you fucking think? And it's just like it

2516
01:52:58,040 --> 01:53:02,280
Speaker 1: sucks because yeah, there are lonely men, but it's like, yes, sadly,

2517
01:53:02,720 --> 01:53:04,800
Speaker 1: you bring this shit to a woman before you fixed it,

2518
01:53:04,960 --> 01:53:07,320
Speaker 1: you're now her problem she needs to keep and you're

2519
01:53:07,320 --> 01:53:09,240
Speaker 1: gonna have many of these things about your body that

2520
01:53:09,240 --> 01:53:11,880
Speaker 1: you transfer onto her. You judge her the same way

2521
01:53:11,920 --> 01:53:14,320
Speaker 1: you judge yourself until you can get past that. Even

2522
01:53:14,320 --> 01:53:17,880
Speaker 1: the internalized sexual sexism of like how a man and

2523
01:53:17,920 --> 01:53:20,960
Speaker 1: a woman are meant to feel. When I was when

2524
01:53:21,040 --> 01:53:22,560
Speaker 1: I was heavy, like I had to go through a

2525
01:53:22,600 --> 01:53:25,040
Speaker 1: lot of things of just like no one needs to

2526
01:53:25,040 --> 01:53:27,840
Speaker 1: look a certain fucking way at all, Like I might

2527
01:53:27,920 --> 01:53:29,920
Speaker 1: need to be thin for myself that might be what

2528
01:53:30,000 --> 01:53:32,280
Speaker 1: I need to aspire to, but that's no one else's

2529
01:53:32,280 --> 01:53:34,400
Speaker 1: fucking job. No one has to look a certain way

2530
01:53:34,400 --> 01:53:38,160
Speaker 1: for me or for them, only for themselves, and it

2531
01:53:38,160 --> 01:53:40,960
Speaker 1: it sucks. The more I think about these fucking wife tups,

2532
01:53:40,960 --> 01:53:42,759
Speaker 1: as funny as it's to say, the more like angry

2533
01:53:42,800 --> 01:53:45,960
Speaker 1: I get. Yeah, it's just like reinforcing gender stereotise, but

2534
01:53:46,000 --> 01:53:49,559
Speaker 1: also adding a new layer of like woman prison. I

2535
01:53:49,560 --> 01:53:52,000
Speaker 1: mean it's it's like it's it's fantasy subjecation.

2536
01:53:52,160 --> 01:53:58,000
Speaker 10: Yes, well, and it's it's a technological fake solution to

2537
01:53:58,120 --> 01:54:02,880
Speaker 10: a real social problem that is like preying on both

2538
01:54:02,960 --> 01:54:06,800
Speaker 10: the customers and the women who are quite represented.

2539
01:54:07,080 --> 01:54:09,200
Speaker 1: Yeah, there's this tube where you had like an anime

2540
01:54:09,280 --> 01:54:10,080
Speaker 1: wife you could talk to.

2541
01:54:10,160 --> 01:54:12,280
Speaker 3: I probably should have multiple products.

2542
01:54:12,680 --> 01:54:16,599
Speaker 6: I disculled it from the conversation. Yeah, yeah, that sounds

2543
01:54:16,600 --> 01:54:17,360
Speaker 6: like a terrible idea.

2544
01:54:17,720 --> 01:54:20,680
Speaker 1: It's it's a really good band aid on a multitude

2545
01:54:20,680 --> 01:54:24,280
Speaker 1: of problems, because I maintain you want to you want

2546
01:54:24,320 --> 01:54:27,000
Speaker 1: to actually genuinely go talk to a priest, like I

2547
01:54:27,040 --> 01:54:28,960
Speaker 1: don't mean it, even if you're not religious, you just

2548
01:54:29,000 --> 01:54:31,479
Speaker 1: fucking maybe you need some spirituality in your life. Maybe

2549
01:54:31,479 --> 01:54:33,080
Speaker 1: you need more than just how you look or how

2550
01:54:33,120 --> 01:54:35,560
Speaker 1: you feel and trapped in your own head. They'll talk

2551
01:54:35,560 --> 01:54:36,760
Speaker 1: to you for a priest will talk to your all

2552
01:54:36,800 --> 01:54:39,520
Speaker 1: fucking day. Don't need to be religious. I'm not even joking.

2553
01:54:39,600 --> 01:54:43,440
Speaker 1: Like the monk, the the Dominican monk, Fry Gabriel is

2554
01:54:43,520 --> 01:54:46,760
Speaker 1: sadly not here, Father Gabriel, pardon me. He talked to

2555
01:54:46,840 --> 01:54:49,680
Speaker 1: him for hours. I'm not religious at all. I'm like agnostic.

2556
01:54:49,920 --> 01:54:52,880
Speaker 1: Who fucking knows. But it's like the problem is if

2557
01:54:52,920 --> 01:54:55,520
Speaker 1: you talk about your problems, then you have to recognize

2558
01:54:55,720 --> 01:54:58,200
Speaker 1: your role in them and how they make you feel.

2559
01:54:58,480 --> 01:55:00,800
Speaker 1: And when you've never done that, this the sympathy I'll

2560
01:55:00,840 --> 01:55:02,440
Speaker 1: give it hurts.

2561
01:55:02,480 --> 01:55:03,960
Speaker 5: Well, there's when you've never done that.

2562
01:55:04,000 --> 01:55:08,680
Speaker 2: And also when the technology that is in our world

2563
01:55:09,280 --> 01:55:14,240
Speaker 2: is so is so effective at like pressing the immediate

2564
01:55:14,240 --> 01:55:17,440
Speaker 2: dopamine button, yeah, or right that, we are presented with

2565
01:55:17,480 --> 01:55:20,600
Speaker 2: a drug that is more instant and more powerful and

2566
01:55:20,640 --> 01:55:22,680
Speaker 2: more replicable than ever.

2567
01:55:22,560 --> 01:55:23,520
Speaker 1: In human history.

2568
01:55:23,880 --> 01:55:26,320
Speaker 2: And so why would you do something that feels bad

2569
01:55:26,320 --> 01:55:28,160
Speaker 2: when you can just do something that feels good right away,

2570
01:55:28,160 --> 01:55:29,800
Speaker 2: even if it feels bad on a long scale term

2571
01:55:29,840 --> 01:55:33,280
Speaker 2: and long term scale. And you sort of understand that

2572
01:55:33,320 --> 01:55:35,320
Speaker 2: inherently yeah, but you can still just do the drug again.

2573
01:55:35,320 --> 01:55:36,640
Speaker 5: You can just press the button again. You can just

2574
01:55:36,640 --> 01:55:37,240
Speaker 5: feel better again.

2575
01:55:37,240 --> 01:55:40,280
Speaker 1: And why wouldn't you? Of course Chinese peptides like it

2576
01:55:40,280 --> 01:55:42,120
Speaker 1: really does connect though. No, but we were talking about these

2577
01:55:42,200 --> 01:55:45,160
Speaker 1: Chinese peptids yesterday. It's like, yeah, a quick and easy solution.

2578
01:55:45,320 --> 01:55:48,680
Speaker 1: To be clear, you used GLP one from a doctor, brilliant. Well, however,

2579
01:55:48,720 --> 01:55:50,600
Speaker 1: your weight loss journey happens if that's what you need,

2580
01:55:50,680 --> 01:55:53,720
Speaker 1: brilliant Sadly and Ben and I can tell you can

2581
01:55:53,760 --> 01:55:55,680
Speaker 1: lose all the weight, be you still gonna feel bad

2582
01:55:55,680 --> 01:55:57,840
Speaker 1: about yourself until you solve that. Do you find a

2583
01:55:57,840 --> 01:56:01,200
Speaker 1: way to calm out your own self, you're gonna be

2584
01:56:01,600 --> 01:56:03,280
Speaker 1: You're gonna be in trouble. When I say this to

2585
01:56:03,320 --> 01:56:06,040
Speaker 1: someone who has been in trouble, who has taken years

2586
01:56:06,080 --> 01:56:08,800
Speaker 1: to build the internal and external me that I want it.

2587
01:56:09,480 --> 01:56:12,640
Speaker 1: And it's like all these fitness things they they don't

2588
01:56:12,640 --> 01:56:15,000
Speaker 1: even really try that as well. I think Victorislms make

2589
01:56:15,040 --> 01:56:17,560
Speaker 1: the point mobile times that these these numbers, the useless

2590
01:56:17,600 --> 01:56:18,960
Speaker 1: numbers who were talking about.

2591
01:56:18,960 --> 01:56:21,680
Speaker 2: I said that my theme for cees is numbers you

2592
01:56:21,720 --> 01:56:22,200
Speaker 2: don't need.

2593
01:56:23,600 --> 01:56:26,360
Speaker 6: It's just like there's no substitute for the work?

2594
01:56:26,560 --> 01:56:28,600
Speaker 1: No, right, I mean like that's it, there's no But

2595
01:56:28,720 --> 01:56:31,400
Speaker 1: everybody's like, but is this a substitute for the worst?

2596
01:56:31,640 --> 01:56:32,000
Speaker 5: Exactly?

2597
01:56:32,040 --> 01:56:33,480
Speaker 6: Like we've been trying this for free.

2598
01:56:33,440 --> 01:56:36,360
Speaker 5: Yes, twenty twenty six. But is this substitute for the great?

2599
01:56:36,520 --> 01:56:38,440
Speaker 6: It's a great uh. I think you and I have

2600
01:56:38,480 --> 01:56:40,920
Speaker 6: talked about it. For him, Rollins wrote a great article. Yeah,

2601
01:56:40,960 --> 01:56:44,000
Speaker 6: the iron, the iron so yes, amazing were talked about

2602
01:56:44,000 --> 01:56:45,440
Speaker 6: like the iron never lies right at the end of

2603
01:56:45,480 --> 01:56:47,440
Speaker 6: the day. I forget that. I'm gonna butcher the quote,

2604
01:56:47,440 --> 01:56:49,400
Speaker 6: but he wraps it up. I being like, you can

2605
01:56:49,440 --> 01:56:51,000
Speaker 6: be the biggest guy in the room and the smallest

2606
01:56:51,000 --> 01:56:53,120
Speaker 6: guy in the room. You can have the best body

2607
01:56:53,200 --> 01:56:55,200
Speaker 6: or the worst body. You could just gotten married or

2608
01:56:55,240 --> 01:56:57,720
Speaker 6: just gotten dumped. You know, you fired from your job,

2609
01:56:57,840 --> 01:57:00,360
Speaker 6: promoted at the end of the day, and that two

2610
01:57:00,440 --> 01:57:02,640
Speaker 6: hundred pounds is still two hundred pounds. Are either lifted

2611
01:57:02,720 --> 01:57:05,600
Speaker 6: or you don't like it. It's the work is there

2612
01:57:05,680 --> 01:57:09,560
Speaker 6: to be done. You change the same, like the process

2613
01:57:09,720 --> 01:57:13,080
Speaker 6: of lifting heavier or eating better or whatever is like

2614
01:57:13,120 --> 01:57:15,920
Speaker 6: the hard is what makes it good. It's not just

2615
01:57:15,960 --> 01:57:18,560
Speaker 6: about the aesthetics or about how much weight you can push.

2616
01:57:18,600 --> 01:57:22,080
Speaker 6: It's about the the process that you go through, you know,

2617
01:57:22,120 --> 01:57:24,520
Speaker 6: and those glp ones like and other peptides like they

2618
01:57:24,520 --> 01:57:28,560
Speaker 6: are miracle drugs. They are miracle drugs. And I know

2619
01:57:28,680 --> 01:57:30,400
Speaker 6: lots of people who have gone on them. And the

2620
01:57:30,440 --> 01:57:32,920
Speaker 6: people who are successful are the people who go on

2621
01:57:32,960 --> 01:57:36,360
Speaker 6: them and then also lift the weights and also do

2622
01:57:36,400 --> 01:57:39,360
Speaker 6: the cardio, yeah, but also eat better. The people who

2623
01:57:39,480 --> 01:57:42,240
Speaker 6: just take them and then kind of like deflate because

2624
01:57:42,240 --> 01:57:46,400
Speaker 6: they're not doing anything have horrible metabolic problems because they

2625
01:57:46,400 --> 01:57:48,480
Speaker 6: took the shortcut. And you get you get the results

2626
01:57:48,520 --> 01:57:49,560
Speaker 6: of the shortcut.

2627
01:57:49,520 --> 01:57:51,640
Speaker 1: And you feel still miserable about it. And I say

2628
01:57:51,640 --> 01:57:54,080
Speaker 1: this is I've lost. I was three hundred and fifty pounds.

2629
01:57:54,120 --> 01:57:55,840
Speaker 1: I dropped to one hundred and thirty pounds when I

2630
01:57:55,920 --> 01:57:58,840
Speaker 1: was nineteen, and then went back up to two hundred

2631
01:57:58,920 --> 01:58:01,880
Speaker 1: and sixty something by the end of my like the

2632
01:58:01,880 --> 01:58:04,600
Speaker 1: midpoint of my thirties, and maybe a buck sixty five.

2633
01:58:04,680 --> 01:58:08,000
Speaker 1: Now that last part was the first time it stayed

2634
01:58:08,320 --> 01:58:11,880
Speaker 1: like I've stayed consistently this way, not because I've stayed

2635
01:58:11,880 --> 01:58:13,360
Speaker 1: consistent with my fits. I've been off for the last

2636
01:58:13,400 --> 01:58:16,880
Speaker 1: few months, but because I've been more focused on what

2637
01:58:16,920 --> 01:58:19,400
Speaker 1: good feels like than I have on am I fucking

2638
01:58:19,480 --> 01:58:21,960
Speaker 1: push and bannishing beaten the fuck. I remember texting my

2639
01:58:21,960 --> 01:58:25,320
Speaker 1: friend Touchiana friend at the show, Touchiana, Yeah, my arms

2640
01:58:25,320 --> 01:58:27,120
Speaker 1: feel like they're full of broken glass and I was

2641
01:58:27,200 --> 01:58:30,240
Speaker 1: happy and she was like, I don't think that's what

2642
01:58:30,280 --> 01:58:32,240
Speaker 1: that's meant to feel like, and I was like, yes,

2643
01:58:32,280 --> 01:58:32,600
Speaker 1: it is.

2644
01:58:33,280 --> 01:58:33,920
Speaker 3: I'm good.

2645
01:58:34,400 --> 01:58:37,160
Speaker 1: She it wasn't a good as it's not long before

2646
01:58:37,160 --> 01:58:39,080
Speaker 1: I started talking to you, Ben, And I think it's

2647
01:58:39,200 --> 01:58:44,320
Speaker 1: just like, it's really easy to fucking hate yourself for

2648
01:58:44,880 --> 01:58:48,520
Speaker 1: bad reasons and then also not really be critical of

2649
01:58:48,560 --> 01:58:51,040
Speaker 1: yourself for the good ones, such as I'm fucking up

2650
01:58:51,040 --> 01:58:52,960
Speaker 1: my body repeatedly so that I can be sexy for

2651
01:58:52,960 --> 01:58:53,280
Speaker 1: a woman.

2652
01:58:53,400 --> 01:58:56,480
Speaker 2: And I want to add another a corollary to it's

2653
01:58:56,480 --> 01:58:59,720
Speaker 2: really easy to hate yourself. Yes, Also it is really

2654
01:58:59,760 --> 01:59:05,640
Speaker 2: easy to justify a fairly nihilist point of view. I

2655
01:59:05,640 --> 01:59:07,880
Speaker 2: think now more than ever, I think it's very easy

2656
01:59:08,400 --> 01:59:11,000
Speaker 2: to be like nothing matters and we're all gonna die,

2657
01:59:11,280 --> 01:59:12,280
Speaker 2: and so why am I?

2658
01:59:12,400 --> 01:59:13,760
Speaker 3: Why would I try?

2659
01:59:13,960 --> 01:59:17,120
Speaker 2: Or like the world is so fucked up and obviously

2660
01:59:17,160 --> 01:59:23,200
Speaker 2: there's no uh like to keep to rationalized to justify

2661
01:59:23,360 --> 01:59:25,680
Speaker 2: whatever your repeated choices are and I'm talking to myself

2662
01:59:25,720 --> 01:59:26,120
Speaker 2: more than.

2663
01:59:26,040 --> 01:59:27,240
Speaker 5: Anybody like I have.

2664
01:59:27,400 --> 01:59:28,600
Speaker 1: I have a million of these.

2665
01:59:28,560 --> 01:59:31,600
Speaker 2: Ruts and that I get myself into. And I think

2666
01:59:31,640 --> 01:59:36,880
Speaker 2: it's very, very easy to justify self destructive choices, particularly

2667
01:59:37,280 --> 01:59:41,600
Speaker 2: the mildly self destructive choices, the ones that aren't like

2668
01:59:41,760 --> 01:59:44,160
Speaker 2: driving causing you to drive your car into a tree.

2669
01:59:43,960 --> 01:59:44,520
Speaker 1: At the end of the night.

2670
01:59:44,560 --> 01:59:47,600
Speaker 3: You know, like what then oh, just like eat, like.

2671
01:59:48,120 --> 01:59:52,520
Speaker 2: Justifying promising yourself that you'll eat better and then not

2672
01:59:53,280 --> 01:59:56,040
Speaker 2: even if it's not to a crazy degree, but it's

2673
01:59:56,080 --> 01:59:58,200
Speaker 2: to a degree that keeps you unhealthy in a way,

2674
01:59:58,320 --> 02:00:00,800
Speaker 2: or like you know, it's like if you're not getting

2675
02:00:00,800 --> 02:00:03,400
Speaker 2: black out drunk every week, but you're like I when

2676
02:00:03,440 --> 02:00:05,320
Speaker 2: I drink, I wake up the next morning and I

2677
02:00:05,320 --> 02:00:07,360
Speaker 2: feel anxious in a way that cripples me for the

2678
02:00:07,360 --> 02:00:09,960
Speaker 2: whole next day. But I'm just gonna have another drink.

2679
02:00:10,200 --> 02:00:11,760
Speaker 2: I'm just gonna have one more drink with my friends

2680
02:00:11,760 --> 02:00:14,080
Speaker 2: tomorrow night or whatever. And it's and again like this

2681
02:00:14,240 --> 02:00:15,960
Speaker 2: these are things that I do, These are this is

2682
02:00:16,000 --> 02:00:16,600
Speaker 2: my own life.

2683
02:00:16,640 --> 02:00:21,120
Speaker 1: This is nobody saw uh Adam just dropped the nihilism thing.

2684
02:00:21,160 --> 02:00:22,960
Speaker 6: I mean, like my favorite Jim T shirt that I

2685
02:00:23,120 --> 02:00:25,720
Speaker 6: lifted all the time is like the counterpoint to that,

2686
02:00:25,840 --> 02:00:28,200
Speaker 6: and it says like we're all gonna die, might as

2687
02:00:28,200 --> 02:00:32,520
Speaker 6: well get strong? Yeah, Like I think, is it Pascal's wager?

2688
02:00:32,640 --> 02:00:34,800
Speaker 6: Isn't it past right? It's like it's like that, but

2689
02:00:34,840 --> 02:00:39,680
Speaker 6: for life, choices exist, Like you might as well act

2690
02:00:39,680 --> 02:00:42,160
Speaker 6: as if God exists, because even if he does not exist,

2691
02:00:42,560 --> 02:00:45,480
Speaker 6: living in a moral way yourself, I totally agree.

2692
02:00:45,560 --> 02:00:46,000
Speaker 5: I'm just saying.

2693
02:00:46,000 --> 02:00:48,919
Speaker 2: I'm saying, like, I think a lot of people easily

2694
02:00:48,920 --> 02:00:51,880
Speaker 2: fall into a justification where it's not even that they like,

2695
02:00:51,960 --> 02:00:53,880
Speaker 2: I think that there's people listening to this who wouldn't

2696
02:00:53,880 --> 02:00:57,840
Speaker 2: say I hate myself, who would just say everything is.

2697
02:00:57,800 --> 02:00:59,520
Speaker 3: So bah, it doesn't matter.

2698
02:00:59,600 --> 02:01:01,080
Speaker 1: Yeah, yeah, and the thing.

2699
02:01:01,000 --> 02:01:05,880
Speaker 2: Is or or my my jadedness is correct, not even

2700
02:01:05,880 --> 02:01:08,080
Speaker 2: it doesn't matter stuff where they're like it could matter,

2701
02:01:08,200 --> 02:01:13,000
Speaker 2: but like, look at I think people rationalize.

2702
02:01:12,720 --> 02:01:16,520
Speaker 1: I also think it's really easy for guys to in particular,

2703
02:01:16,880 --> 02:01:18,800
Speaker 1: and no, I take that back, It's not true. Women

2704
02:01:18,840 --> 02:01:21,480
Speaker 1: do this kind of self harm as well. And where

2705
02:01:21,520 --> 02:01:24,640
Speaker 1: it's like for the beauty standards of both women and men,

2706
02:01:24,680 --> 02:01:28,000
Speaker 1: where it's I need to hurt, the pain is necessary,

2707
02:01:28,040 --> 02:01:28,920
Speaker 1: no pain, no gain.

2708
02:01:29,240 --> 02:01:33,840
Speaker 3: Actually pain is not brilliant, and with woman it can

2709
02:01:33,880 --> 02:01:34,200
Speaker 3: often be.

2710
02:01:34,320 --> 02:01:35,840
Speaker 1: I mean, they do the same thing with fitness, but

2711
02:01:35,880 --> 02:01:37,960
Speaker 1: like dietary stuff, with a woman, it is much harsher.

2712
02:01:38,200 --> 02:01:41,400
Speaker 1: It's like the ways we punish ourselves and they usually fail.

2713
02:01:41,800 --> 02:01:43,360
Speaker 3: Like I am generally not.

2714
02:01:43,440 --> 02:01:46,160
Speaker 1: In pain when after I woke out, I feel worked,

2715
02:01:46,200 --> 02:01:49,680
Speaker 1: but I feel good, And it's like that's the thing

2716
02:01:49,720 --> 02:01:51,840
Speaker 1: to look for. But it's really easy because you got

2717
02:01:51,880 --> 02:01:55,080
Speaker 1: on Instagram, especially if you like start talking about fitness

2718
02:01:55,120 --> 02:01:57,040
Speaker 1: in the DM and Instagram's like, oh, we're not looking,

2719
02:01:57,080 --> 02:02:00,400
Speaker 1: but it looks like you need some peptoides. And you

2720
02:02:00,440 --> 02:02:03,240
Speaker 1: can get this fucking pressure of these guys who are

2721
02:02:03,280 --> 02:02:06,480
Speaker 1: just they're younger than you, stronger than you, they've gone

2722
02:02:06,480 --> 02:02:09,000
Speaker 1: through crazier journeys, they've lost more weight, they've done this.

2723
02:02:09,240 --> 02:02:11,760
Speaker 1: It's really easy for guys to pretend like this doesn't happen.

2724
02:02:11,800 --> 02:02:14,800
Speaker 1: You don't look at another guy's body and you feel inferior.

2725
02:02:15,160 --> 02:02:17,560
Speaker 1: It fucking happens, and you're like, if I look like

2726
02:02:17,600 --> 02:02:21,440
Speaker 1: that 'll feel better, you probably won't mate. Yeah, And

2727
02:02:21,520 --> 02:02:24,000
Speaker 1: women talk about this publicly all the time. Men don't

2728
02:02:24,040 --> 02:02:28,600
Speaker 1: want to because it's fucking's gay. Oh you're fucking good Lord,

2729
02:02:28,760 --> 02:02:30,080
Speaker 1: the worst thing that could happen to you is that

2730
02:02:30,160 --> 02:02:33,040
Speaker 1: you're gay. Jesus Christ. That sounds fun, like who gives

2731
02:02:33,040 --> 02:02:35,160
Speaker 1: a shit? You're in love with a man. It sounds nice.

2732
02:02:35,600 --> 02:02:37,160
Speaker 1: You're in love with a woman who gives a fuck.

2733
02:02:37,440 --> 02:02:39,960
Speaker 1: But it's like this feminization of anything, any kind of

2734
02:02:40,000 --> 02:02:43,320
Speaker 1: pain and emotion. Men are just fucking strong.

2735
02:02:43,600 --> 02:02:45,800
Speaker 3: Got a wife, you will talk to me out lift

2736
02:02:45,840 --> 02:02:46,160
Speaker 3: from all.

2737
02:02:48,000 --> 02:02:50,240
Speaker 1: Oh, No, it's nice to have a conversation like this

2738
02:02:51,080 --> 02:02:53,080
Speaker 1: in this scenario like this is well a very male

2739
02:02:53,160 --> 02:02:57,040
Speaker 1: dominated space and more dominated industry. And it's also scary

2740
02:02:57,080 --> 02:02:59,080
Speaker 1: for men to think about this stuff. And it's much

2741
02:02:59,080 --> 02:03:02,560
Speaker 1: easier to blame everyone else. Yeah, other men too.

2742
02:03:03,040 --> 02:03:04,640
Speaker 6: That being said, I'm gonna try and lift a million

2743
02:03:04,680 --> 02:03:06,520
Speaker 6: pounds this year. No, but you do it because it's

2744
02:03:06,560 --> 02:03:08,080
Speaker 6: a million pounds of volume, that's the goal.

2745
02:03:08,200 --> 02:03:10,360
Speaker 1: No, but that's fucking you're doing that.

2746
02:03:10,280 --> 02:03:11,160
Speaker 6: Because I'll get there.

2747
02:03:11,680 --> 02:03:13,040
Speaker 3: But you're doing it for fun.

2748
02:03:13,120 --> 02:03:14,800
Speaker 6: I'm doing it for fun and because like it is,

2749
02:03:14,840 --> 02:03:17,200
Speaker 6: it is a it is a therapeutic thing for me.

2750
02:03:17,280 --> 02:03:20,200
Speaker 6: Like the joke of you know, lift heavy rock said, yeah, right,

2751
02:03:20,240 --> 02:03:22,880
Speaker 6: but it's like it's it's true, it is a it

2752
02:03:22,960 --> 02:03:24,640
Speaker 6: is a great physical thing, it's a great mental thing.

2753
02:03:24,680 --> 02:03:27,720
Speaker 6: It's good for my marriage, right, Like I'm a better husband,

2754
02:03:27,760 --> 02:03:31,480
Speaker 6: I'm a better father, I'm better professionally because I'm able

2755
02:03:31,480 --> 02:03:32,240
Speaker 6: to focus.

2756
02:03:31,960 --> 02:03:35,520
Speaker 1: And energetic and you've energetic. Yeah, exactly, and you build something,

2757
02:03:36,280 --> 02:03:39,280
Speaker 1: you see the results patching over something exactly right.

2758
02:03:39,280 --> 02:03:41,840
Speaker 6: I'm so glad we're talking foundational Adam.

2759
02:03:41,840 --> 02:03:43,880
Speaker 1: What do you think about all that? Yeah, sorry, you've

2760
02:03:43,880 --> 02:03:44,720
Speaker 1: been quiet this whole time.

2761
02:03:44,760 --> 02:03:49,240
Speaker 4: Oh yeah, we've been podcasting for two hours. I'm I'm

2762
02:03:49,240 --> 02:03:53,960
Speaker 4: a little tired. Uh yeah, No, I mean I think that, Uh,

2763
02:03:54,920 --> 02:03:58,080
Speaker 4: it's just the trip that I'm on is like, I

2764
02:03:58,160 --> 02:04:05,520
Speaker 4: do think that we underrate how much society, like all

2765
02:04:05,560 --> 02:04:08,920
Speaker 4: of us together as a society, push men down the

2766
02:04:09,000 --> 02:04:12,560
Speaker 4: wrong path on this stuff. And I think at the

2767
02:04:12,600 --> 02:04:15,320
Speaker 4: same time as we are saying like, you know, men

2768
02:04:15,360 --> 02:04:17,760
Speaker 4: need to step up and like change their attitudes, I

2769
02:04:17,800 --> 02:04:21,240
Speaker 4: also think we need to like create space for other men, yes,

2770
02:04:21,280 --> 02:04:24,880
Speaker 4: to do these things. That's men and women need to

2771
02:04:24,920 --> 02:04:26,760
Speaker 4: do this. Men need to do it, I think with

2772
02:04:26,840 --> 02:04:31,920
Speaker 4: each other each other. But it is like, you know,

2773
02:04:32,240 --> 02:04:36,920
Speaker 4: a and I think the thing that because there's so

2774
02:04:37,000 --> 02:04:39,040
Speaker 4: many elements of this you can talk about sexism and

2775
02:04:39,040 --> 02:04:40,920
Speaker 4: patriarchy and stuff affects men and women, and you can

2776
02:04:40,960 --> 02:04:43,960
Speaker 4: almost always go it affects women worse. It's true, right, yeah,

2777
02:04:44,560 --> 02:04:47,000
Speaker 4: but a deficiency that I think that the reason I'm

2778
02:04:47,000 --> 02:04:50,120
Speaker 4: glad we're having this conversation is I think a division

2779
02:04:50,200 --> 02:04:52,560
Speaker 4: difficiency at least I think that's unequivocally true, is that

2780
02:04:52,960 --> 02:04:56,520
Speaker 4: men talk about it less. I grew up watching just there,

2781
02:04:56,880 --> 02:05:02,200
Speaker 4: just the evolving conversation about sexist directed towards women for

2782
02:05:02,320 --> 02:05:05,400
Speaker 4: my entire life and like processing it. Oh, we're developing,

2783
02:05:05,400 --> 02:05:07,160
Speaker 4: how we're thinking about this, We're trying to address this

2784
02:05:07,160 --> 02:05:10,000
Speaker 4: product all still exists, but we're and like we just

2785
02:05:11,240 --> 02:05:14,680
Speaker 4: we have never had it for men on a cultural level,

2786
02:05:14,920 --> 02:05:17,000
Speaker 4: and when we try a lot of times people go,

2787
02:05:17,680 --> 02:05:20,120
Speaker 4: you know, like why you know I talk about this

2788
02:05:20,120 --> 02:05:22,400
Speaker 4: on stage sometimes and you know, people come up to

2789
02:05:22,760 --> 02:05:24,360
Speaker 4: A woman came up to me and says like, oh,

2790
02:05:24,360 --> 02:05:25,920
Speaker 4: it's kind of it's kind of like I want somebody

2791
02:05:25,920 --> 02:05:27,400
Speaker 4: think of the men. And I'm like, yeah, kind of,

2792
02:05:27,480 --> 02:05:29,920
Speaker 4: it is kind of what somebody think of But the

2793
02:05:30,000 --> 02:05:32,760
Speaker 4: thing is I get what she is saying.

2794
02:05:32,840 --> 02:05:35,000
Speaker 1: In the it's very very is to full into the

2795
02:05:35,000 --> 02:05:37,760
Speaker 1: trope like, oh, poor men, but it's like the actual

2796
02:05:37,760 --> 02:05:40,080
Speaker 1: solution is you can say that, but only if the

2797
02:05:40,120 --> 02:05:43,040
Speaker 1: answer is talking to other guys, not like and that's

2798
02:05:43,080 --> 02:05:46,680
Speaker 1: where women come in and that's how having sex. And

2799
02:05:46,720 --> 02:05:48,680
Speaker 1: by the way, I would just say that will not

2800
02:05:48,960 --> 02:05:52,280
Speaker 1: solve your image issues. That will not do it. It's

2801
02:05:52,320 --> 02:05:53,520
Speaker 1: a fucking band aid too.

2802
02:05:54,000 --> 02:05:59,080
Speaker 2: Yeah, I mean, adam t to your what you were

2803
02:05:59,120 --> 02:06:05,360
Speaker 2: just saying, I think that the solution to uh, there's

2804
02:06:05,440 --> 02:06:08,080
Speaker 2: I don't know that there's like a way to really

2805
02:06:08,200 --> 02:06:11,280
Speaker 2: solve gender dynamics, you know, fingers, but.

2806
02:06:11,320 --> 02:06:15,160
Speaker 1: Like fifteen minutes, we've actually only got five.

2807
02:06:16,040 --> 02:06:18,640
Speaker 2: But you know, if I were there listening to the

2808
02:06:18,680 --> 02:06:21,600
Speaker 2: woman say, that's kind of a think of the men,

2809
02:06:23,040 --> 02:06:24,760
Speaker 2: and your answer is yet it is think of the men.

2810
02:06:25,080 --> 02:06:27,839
Speaker 2: That's because the only way that we make any progress

2811
02:06:27,960 --> 02:06:32,600
Speaker 2: is with empathy and kindness, yes to the people, to

2812
02:06:32,760 --> 02:06:35,839
Speaker 2: every player involved in this in the scenario.

2813
02:06:36,000 --> 02:06:40,000
Speaker 1: Yeah, yeah, And it's but empathy means empathy requires in respection.

2814
02:06:40,080 --> 02:06:41,080
Speaker 3: Sorry I didn't mean still.

2815
02:06:41,120 --> 02:06:43,640
Speaker 1: Yeah, no, no, no, no, no, totally. And on that point,

2816
02:06:43,720 --> 02:06:47,240
Speaker 1: I'm going to end this two hour long episode. Ben Rudolph,

2817
02:06:47,280 --> 02:06:48,200
Speaker 1: where can we find you?

2818
02:06:49,520 --> 02:06:51,600
Speaker 6: I'm on X The everything appen well, it's been the

2819
02:06:51,600 --> 02:06:52,200
Speaker 6: PC guy.

2820
02:06:52,560 --> 02:06:53,880
Speaker 1: It's my wonderful friend Mandall.

2821
02:06:54,480 --> 02:06:56,560
Speaker 6: Or you can go to cartographic dot com at c

2822
02:06:56,720 --> 02:06:59,040
Speaker 6: A R t O g r A f i q

2823
02:06:59,560 --> 02:07:01,640
Speaker 6: dot com because we wanted to make it super hard

2824
02:07:01,680 --> 02:07:02,360
Speaker 6: to spell.

2825
02:07:02,680 --> 02:07:05,440
Speaker 4: Nice, I can I just ask that a question? Did

2826
02:07:05,440 --> 02:07:06,560
Speaker 4: you see one cool thing?

2827
02:07:06,600 --> 02:07:07,120
Speaker 3: At the ES?

2828
02:07:07,160 --> 02:07:11,000
Speaker 4: We've been talking shit on tech products and men generally.

2829
02:07:11,520 --> 02:07:13,240
Speaker 4: Is there anything that you were excited about?

2830
02:07:15,240 --> 02:07:16,760
Speaker 6: So I haven't spent that much time around the floor.

2831
02:07:16,800 --> 02:07:19,560
Speaker 6: I've been working with my clients. I think there's finally

2832
02:07:19,600 --> 02:07:24,120
Speaker 6: some we could do another two hours away. Should we

2833
02:07:24,160 --> 02:07:26,920
Speaker 6: get in should we get into like the transition from

2834
02:07:26,920 --> 02:07:29,000
Speaker 6: AI hype to like what you can actually do with

2835
02:07:29,000 --> 02:07:32,520
Speaker 6: it that actually matters. I have seen some stuff that

2836
02:07:32,520 --> 02:07:34,800
Speaker 6: I think it's interesting and fun. I haven't seen anything

2837
02:07:34,800 --> 02:07:36,720
Speaker 6: that I'm like, wow, that's going to change my life.

2838
02:07:36,760 --> 02:07:40,720
Speaker 6: Like there's a lot of like autonomous like scooters and

2839
02:07:41,480 --> 02:07:44,040
Speaker 6: yeah and stuff like that that seem interesting, but I

2840
02:07:44,080 --> 02:07:44,680
Speaker 6: don't know if.

2841
02:07:45,600 --> 02:07:46,720
Speaker 4: Well that's all I want to know.

2842
02:07:47,080 --> 02:07:48,880
Speaker 1: Thank you, Adam. Why don't you do your cool outs

2843
02:07:49,080 --> 02:07:50,320
Speaker 1: where you're going to be doing stand up?

2844
02:07:50,440 --> 02:07:53,640
Speaker 4: Okay this weekend, h I'm going to be a Madison,

2845
02:07:53,720 --> 02:07:57,920
Speaker 4: Wisconsin Next weekend I'll be on Fort Wayne, Indiana. Then

2846
02:07:57,960 --> 02:08:00,680
Speaker 4: I'm going to Louisville, Kentucky at the end of January.

2847
02:08:00,880 --> 02:08:03,480
Speaker 4: That in early February, will be in Houston, Texas. And

2848
02:08:03,520 --> 02:08:06,000
Speaker 4: then I'm taping my new special at the Punchline in

2849
02:08:06,000 --> 02:08:08,640
Speaker 4: San Francisco February nineteen through twenty first. Adam conover dot

2850
02:08:08,640 --> 02:08:09,320
Speaker 4: net for tickets.

2851
02:08:09,440 --> 02:08:10,920
Speaker 1: Hell yeah, Chloe, Hi.

2852
02:08:11,200 --> 02:08:14,480
Speaker 2: This weekend I'm in Cincinnati, Ohio. Next weekend i am

2853
02:08:14,640 --> 02:08:19,000
Speaker 2: in Washington, d C. The week after that, not the

2854
02:08:19,000 --> 02:08:21,560
Speaker 2: weekend January twentieth, twenty first, and twenty second, I'm doing

2855
02:08:21,560 --> 02:08:24,720
Speaker 2: my solo show called Cheat, which is a completely separate hour.

2856
02:08:24,840 --> 02:08:26,520
Speaker 2: It is not the hour of stand up that I

2857
02:08:26,600 --> 02:08:28,600
Speaker 2: do on the road. Ed has seen it and loved it.

2858
02:08:29,960 --> 02:08:32,960
Speaker 2: In Philadelphia. Cheat in Philadelphia January twenty twenty one, twenty two,

2859
02:08:32,960 --> 02:08:34,640
Speaker 2: and then the weekend after that or oh then two

2860
02:08:34,640 --> 02:08:36,120
Speaker 2: weekends after that, I'll be in from months at the

2861
02:08:36,200 --> 02:08:36,440
Speaker 2: end of it.

2862
02:08:36,800 --> 02:08:38,880
Speaker 1: And as we end this show, big shout out to

2863
02:08:39,440 --> 02:08:42,280
Speaker 1: the departed a past last year Shan Paul Adams, friend

2864
02:08:42,320 --> 02:08:45,320
Speaker 1: of the show, friend of the Suite, Please donate to

2865
02:08:45,360 --> 02:08:48,040
Speaker 1: the Pediatric EPILEEPSI Research Consultium in honor of his son,

2866
02:08:48,040 --> 02:08:51,000
Speaker 1: who is epileptic. His family would deeply appreciate it. Thank

2867
02:08:51,040 --> 02:08:53,160
Speaker 1: you so much for listening. We've gotten other two hours

2868
02:08:53,160 --> 02:09:04,720
Speaker 1: for you coming soon. Thank you for listening to Better Offline.

2869
02:09:04,880 --> 02:09:07,280
Speaker 11: The editor and composer of the Better Offline theme song

2870
02:09:07,360 --> 02:09:10,040
Speaker 11: is Matasowski. You can check out more of his music

2871
02:09:10,040 --> 02:09:13,680
Speaker 11: and audio projects at Matasowski dot com, M A T

2872
02:09:13,680 --> 02:09:18,160
Speaker 11: T O S O W s ki dot com. You

2873
02:09:18,160 --> 02:09:20,680
Speaker 11: can email me at easy at Better offline dot com

2874
02:09:20,800 --> 02:09:23,120
Speaker 11: or visit better Offline dot com to find more podcast

2875
02:09:23,160 --> 02:09:26,520
Speaker 11: links and of course my newsletter. I also really recommend

2876
02:09:26,520 --> 02:09:28,440
Speaker 11: you go to chat dot Where's youreed dot at to

2877
02:09:28,520 --> 02:09:31,320
Speaker 11: visit the discord, and go to our slash Better Offline

2878
02:09:31,360 --> 02:09:32,440
Speaker 11: to check out our reddit.

2879
02:09:33,240 --> 02:09:34,560
Speaker 3: Thank you so much for listening.

2880
02:09:35,400 --> 02:09:38,120
Speaker 9: Better Offline is a production of cool Zone Media. For

2881
02:09:38,200 --> 02:09:41,400
Speaker 9: more from cool Zone Media, visit our website cool Zonemedia

2882
02:09:41,440 --> 02:09:44,320
Speaker 9: dot com, or check us out on the iHeartRadio app,

2883
02:09:44,320 --> 02:10:02,160
Speaker 9: Apple Podcasts, or wherever you get your podcasts.

2884
02:10:02,560 --> 02:10:03,880
Speaker 4: In the home, schools, school