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Speaker 1: Also media.

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Speaker 2: Forty years ago, the old gods decided to create a podcast.

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Speaker 2: Are capable of withstanding twenty hours of podcasting in the

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Speaker 2: space of five days. I am at Zeitron and this

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Speaker 2: is better offline CS coverage. We are large and in

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Speaker 2: charge in the Palazzo Hotel in Las Vegas, beautiful Las Vegas, Nevada,

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Speaker 2: with an open bar, Tacos and the strongest bench of

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Speaker 2: tech commentator talent in the known universe. As every We're

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Speaker 2: bringing you coverage of the world's biggest tech conference. It's

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Speaker 2: day two, Episode two, and our first contestants have just arrived.

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Speaker 2: Joining me for the first block is the amazing, victorious

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Speaker 2: song of the Verge. Hello, And we've got the wonderful

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Speaker 2: stand up comedian host of the Factually podcast, Adam Connover.

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Speaker 3: Hello, and of course.

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Speaker 2: The legendary broadcast of My Dad's Gonna be So Happy.

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Speaker 2: Rory Kecklin Jones, who writes the Always On newsletter and

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Speaker 2: the mo is on the Movers and Shakers podcast.

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Speaker 4: Thank you for your sorry, Hello, so pleased to please

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Speaker 4: your dad.

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Speaker 2: Oh, He's gonna He's gonna be elated, So Victoria. You

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Speaker 2: describe your beat as the Curse Technology Beat and I

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Speaker 2: think this is a great place to begin.

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Speaker 5: Not for my mental health, but sure.

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Speaker 2: Yes, but for the full of yucks. Perhaps what have

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Speaker 2: you seen? Just just start anywhere?

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Speaker 5: Okay, So with my editors, you know, we're talking trend

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Speaker 5: pieces right now, and they're like, what's your what's your

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Speaker 5: trend this year? And I was like, bodily fluids. We

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Speaker 5: are talking piss semen, uh, blood urine, bodily fluids, because

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Speaker 5: you know, my actual beat is wearable in health technology, right,

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Speaker 5: so you know, I'm you know, I'm surprisingly light under

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Speaker 5: unwearable today.

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Speaker 2: How many people got today?

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Speaker 5: I only got two? The other day I was racking.

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Speaker 2: Four like a parallax style things.

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Speaker 5: Yeah, actually, actually no, I have AI You you sent

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Speaker 5: me these?

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Speaker 2: Yes, yes, don't name them insuls.

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Speaker 5: The AI generated insuls. My feet seas still hurt, So

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Speaker 5: there we go. H But yeah, so you know, longevity

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Speaker 5: quote unquote longevity tech is in right now. Wellness is bullshit,

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Speaker 5: as we know, but a lot of my beat deals

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Speaker 5: with wellness, and therefore the snake oil perpetuated by wellness

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Speaker 5: influencers in the world, and I get to have the

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Speaker 5: lovely job of going, what bullshit are they going to

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Speaker 5: make me? Wear this year. So I've worn uh, I've

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Speaker 5: worn in led face mask that makes Jason Vorhees look funny. Okay,

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Speaker 5: but you know it's not the Jason Warheas type led mask.

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Speaker 5: It's you'll see it tomorrow on Leverage Dot. There's that

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Speaker 5: I closed the loop on the taint zapper and you know.

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Speaker 2: I'm gonna stop you then, Okay, what is that?

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Speaker 1: Okay?

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Speaker 5: So we have to go back six years because this

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Speaker 5: is a year. This is a story that is six

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Speaker 5: years in the reporting and the making. So CES twenty twenty,

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Speaker 5: right before the world closes down because of COVID. I'm

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Speaker 5: at Cees suffering, I have a cold or whatever. I'm

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Speaker 5: at CS Unveiled, which is the inaugural Nights showcase of

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Speaker 5: vendors and whatnot. I'm walking along a long what am

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Speaker 5: I going to cover? What am I going to cover?

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Speaker 5: And I see a table. It's one of those booths

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Speaker 5: that's very empty and sad, right, and on the table

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Speaker 5: there is a mannequin and it's just this mid torso

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Speaker 5: section of a male mannequin with Kendall smooth giblets, and

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Speaker 5: it's on its back so its tant is exposed to

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Speaker 5: a roving crowd of tech journalists and on on the

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Speaker 5: goos of this, of this, a mannequin is a band aid, right,

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Speaker 5: And on this sparse table, I really have to paint

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Speaker 5: the picture. Here there's a laptop, and on the laptop

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Speaker 5: there is a slideshow presentation. And I want you to

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Speaker 5: think of a black and white picture of a couple

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Speaker 5: in bed and they're disgruntled. The woman is on the

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Speaker 5: bed and she's sitting here with her arms folded and

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Speaker 5: just like a look of disgust on our face. And

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Speaker 5: the man is at the edge of the bed with

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Speaker 5: his head and his hands and he's so sad. And

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Speaker 5: the text on this slide show is premature ejaculation is

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Speaker 5: the number one male dysfunction. So I take a picture.

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Speaker 5: I was like his moto at the time. So I

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Speaker 5: take a picture of this and I send it to

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Speaker 5: our slack channel, and my editor goes, bitch, you must

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Speaker 5: write this, and I go, okay, so I'll just describe it.

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Speaker 5: I wrote it. A week later, the CEO Lovely Man, Jeff.

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Speaker 5: He reaches out to me and he goes, I because

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Speaker 5: I had some burning questions about this taint banding. I

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Speaker 5: was like, is it gonna rip off the hair off

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Speaker 5: these men's gooches, Like, is what are we doing here?

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Speaker 5: And it's like the proposed it was a concept wearable.

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Speaker 5: So the proposal was that to help men with premature ejaculation,

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Speaker 5: it was gonna zop you, okay, to you know, delay orgism.

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Speaker 5: And so I was like, I have so many questions.

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Speaker 5: I asked many penis half others that I knew. I

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Speaker 5: was like, would you would you try this? Would you do?

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Speaker 5: And they're all like, bitch no, And so you know,

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Speaker 5: a week later he reaches out to me. I was like,

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Speaker 5: I want to answer some of your questions. No, it's

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Speaker 5: not going to rip the hair off. We've done a

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Speaker 5: lot of research into the type of adhesive views. And

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Speaker 5: I was like, okay, I'll write that follow up. The

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Speaker 5: next year, I see them again and they have the

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Speaker 5: most They have this gift that shows how it works

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Speaker 5: and it's like a if you were on the floor

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Speaker 5: and you were panning up, it's like the view of

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Speaker 5: the gooch and just it's the most cursed gift I've

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Speaker 5: ever seen in my life. Right, it's in our social

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Speaker 5: video if you want to see it. But yeah, so

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Speaker 5: that was there and we were talking and he's like,

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Speaker 5: we've discovered something mysterious in our testing. And I was like, oh, okay, cool,

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Speaker 5: what sure? So I met up with this guy this

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Speaker 5: year and it's now a product. They are FDA cleared.

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Speaker 5: Nice And the mysterious discovery that they discovered was that

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Speaker 5: not only can it help men with premature ejaculation delay

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Speaker 5: orgasm mm hmmm, the electrical signal contracts the prostate and

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Speaker 5: makes ejaculation more forceful.

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Speaker 2: So how did they measure.

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Speaker 5: That it was discovered? It was discovered in test.

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Speaker 3: You can tell when you do it how forceful it is.

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Speaker 2: Well, I've never had sex, so yeah. No.

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Speaker 6: Sometimes sometimes you're in a good mood and you hit

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Speaker 6: the wall and and people it must have experienced this.

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Speaker 5: Yeah, I actually you know that year after, when I

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Speaker 5: was doing the follow up, I talked to a user

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Speaker 5: who had used it. You wanted to be anonymous, and

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Speaker 5: he was like, it's saving my marriage. It's great, it

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Speaker 5: doesn't hurt, it feels great.

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Speaker 2: I'm being kind of cynical, but it seems like it's

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Speaker 2: actually possibly use.

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Speaker 5: But you know, there's there's like a lot of meaning

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Speaker 5: between FDA proved, FDA clear isn't listed, it has to

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Speaker 5: do with the type of medical class device it is

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Speaker 5: and whatnot. But but, but but I did get to

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Speaker 5: try it myself on my forearm, as I do not

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Speaker 5: possess the actual body part necessary for real life testing,

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Speaker 5: so I put it on my forearm. I got to

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Speaker 5: try it out. It costs three hundred dollars for the

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Speaker 5: starter kit it has.

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Speaker 2: Does it require a subscription?

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Speaker 5: No, And there's no AI involved, so you know, but

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Speaker 5: you know you can. You can customize the zapp pattern,

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Speaker 5: so you can you can. There's a strength level of

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Speaker 5: one to one hundred. I could feel the strength at one,

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Speaker 5: which I was yeah, on my arm, tained which I

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Speaker 5: was told that makes me a unicorn because most people

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Speaker 5: can't actually feel it at one. Like he was saying

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Speaker 5: that depending on your body, uh, how hairy you are,

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Speaker 5: how much body fat you have, you might need to

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Speaker 5: like go up to twenty five to feel something nice.

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Speaker 2: That's that's yeah, that's good. I'm trying, like I'm trying

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Speaker 2: not to like just laugh at the idea of bums

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Speaker 2: just like just like wooo bum poo, but like it

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Speaker 2: seems like an actual, like weirdly useful thing, like well, you.

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Speaker 5: Know, a lot of men don't want to talk about

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Speaker 5: premature ejaculates.

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Speaker 2: I don't want to talk about sex at all. Like

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Speaker 2: that's like that's a universal thing with the Fellas, Like

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Speaker 2: this came up last year with Shad and like men

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Speaker 2: just like you start talking about sex and like no,

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Speaker 2: I couldn't possibly.

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Speaker 5: Yeah yeah, And you know, the their founder is a

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Speaker 5: really good sport because Jimmy Kimmel did roast him on

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Speaker 5: a monologue in twenty twenty two about it, and he's like,

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Speaker 5: that's fine. I just want people talking about it, and

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Speaker 5: I want men who suffer from this to actually do

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Speaker 5: something for you. Jeff, Yeah, Jeff is like he's.

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Speaker 6: A cool d And the FDA clearance would mean this

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Speaker 6: it works, like they've tested it or is it just

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Speaker 6: not going to kill you?

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Speaker 5: It means that it's safe basically. So they did have

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Speaker 5: to test it on rabbits, So.

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Speaker 4: You mean they didn't have a double blind placebo control trial.

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Speaker 2: I love the one that doesn't.

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Speaker 6: Think you think you've been shocked, but if you have

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Speaker 6: an actually been so just it just naturally hot.

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Speaker 5: It feels more like a vibration, to be quite honest,

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Speaker 5: It's not like a type of feeling. But what FDA

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Speaker 5: clearance means is like there's different types of medical devices.

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Speaker 5: There's Class one, which is like a tongue depressor, it's

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Speaker 5: not really doing anything. Class two is like moderate risk.

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Speaker 5: And I believe this would probably be in class two

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Speaker 5: because they require five ten clearance and basically they have

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Speaker 5: to go through testing for safety, efficacy, privacy.

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Speaker 2: And this one. This is all of it. It's past them.

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Speaker 5: Yes, it passed that. It took a long time because

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Speaker 5: this is a six year period. I want to say,

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Speaker 5: like they had to go through two rounds of funding,

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Speaker 5: like FDA clearance, millions of dollars, millions of dollars.

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Speaker 2: Right now, the Titan Zeppr is the most functional product

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Speaker 2: we've discussed on the show. Like I'm deadly serious, Like

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Speaker 2: we spent the last two outs spend like, yeah, this

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Speaker 2: doesn't work. This doesn't because it's not. The Titan Zuppr

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Speaker 2: is real and it's real.

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Speaker 5: And you know, so part of the thing was is

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Speaker 5: that you know, they had done their initial round of

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Speaker 5: gathering data, which took them a year and a half

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Speaker 5: to gather all all this data, and then the FDA

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Speaker 5: was like, yeah, but we're gonna need you to do

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Speaker 5: animal testing so you're gonna have to put this taint

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Speaker 5: zapperro ond bunnies.

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Speaker 2: And just to be clear, that's not the tits.

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Speaker 5: No, it's not the bunny taints. They're putting it on

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Speaker 5: the bunnies because bunnies are furry and some taints are furrery.

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Speaker 5: So you need to make sure that when you put

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Speaker 5: this adhesive on on on skin that when you take

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Speaker 5: it off, you're not causing rashes, irritation, ripping things out.

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Speaker 5: So you know, they he told me that, you know,

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Speaker 5: they'd have to put the patch on the bunny every

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Speaker 5: single day and monitor it for a few hours and

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Speaker 5: you know, and yeah.

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Speaker 2: So Rory, moving on, moving on from the tank for now,

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Speaker 2: I'm just a dog.

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Speaker 4: I've wandered off the streets and it's an old BBC man.

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Speaker 5: Oh, it's actually not called a taint zapper. That's just

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Speaker 5: what I've called it, called more m O R.

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Speaker 2: That's a horrible That is one of the worst names

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Speaker 2: they could have come up with.

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Speaker 6: It's called more but it sounds like one thing you

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Speaker 6: don't get is more. You don't like there.

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Speaker 3: You don't get more more velocity.

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Speaker 5: More, more velocity, more lasting power. The company behind it

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Speaker 5: is called marai inc and maori and Latin means delay,

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Speaker 5: so shocking.

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Speaker 7: Call it longer longer long yeah, with no e Yeah.

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Speaker 6: Because then it's like you're going longer and your dick

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Speaker 6: is longer. Yeah, men like longer.

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Speaker 2: That's and that's the that's men like longer. But Rory,

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Speaker 2: what have you seen at the show? Anything unrelated to bums?

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Speaker 4: I'm just that I've not got any human detritus to

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Speaker 4: bring before you. I mean, I've seen something incredibly wholesome.

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Speaker 2: Please please tell me.

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Speaker 4: I went to the Lego press conference. I used to

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Speaker 4: come here a year after year for the BBC and

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Speaker 4: it was a nightmare because of the time difference, and

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Speaker 4: we had to make a store on a Sunday and

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Speaker 4: a Monday to go out on the Tuesday eight hours

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Speaker 4: behind and be desperate. And I learned a good lesson there,

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Speaker 4: which is never go to a CS press conference because

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Speaker 4: they're terrible. Because every single press conference features a CEO

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Speaker 4: who thinks he's Steve Jobs unveiling the iPhone and he's

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Speaker 4: not Steve Jobs and he hasn't got an iPhone. And

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Speaker 4: I know this because my very first CES was my

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Speaker 4: best ever because it had a historic event in which

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Speaker 4: in the BBC, having paid an awful lot for a

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Speaker 4: lot of us to come over, led by me, I

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Speaker 4: said to them, listen, We're going to take a day

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Speaker 4: out and leave Ces and go to think called Matt World,

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Speaker 4: because there's a room if something BIG's going to happen.

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Speaker 4: And so I was there when Steve Jobs did unveil

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Speaker 4: the iPhone, which was better than any event that I've

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Speaker 4: ever seen it fifteen.

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Speaker 6: When he goes, when he goes, are you getting it?

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Speaker 6: That's my favorite part.

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Speaker 3: Yeah, you get it?

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Speaker 6: Were you getting it in that moment? Were you like, wait,

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Speaker 6: it's one device?

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Speaker 2: Well.

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Speaker 4: I was kind of shocked in a kind of very

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Speaker 4: British way by the fact that there were people standing

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Speaker 4: up and cheering. Were journalists we don't cheer for. There

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Speaker 4: was not the requisite level of cynical old hackery, but

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Speaker 4: even I got carried away. I knew something was big

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Speaker 4: when my desk in London rang people who were not

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Speaker 4: remotely interested in technology and said, you've got to get

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Speaker 4: your hands on that phone, and I said, you are deluded.

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Speaker 4: Apple is like North Korea, but less less open. They

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Speaker 4: will never let me near a phone that's not coming

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Speaker 4: out for six months. Are you dreaming? And then I

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Speaker 4: remembered that we've been promised an interview with Phil Schiller,

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Speaker 4: a tubby little marketing guy who did not quite have

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Speaker 4: Steve Job's charisma.

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Speaker 2: And I had said, yeah, yeah.

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Speaker 4: Yeah, we'll do that, thinking no, we won't, and I

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Speaker 4: changed my mind and we headed back to the Moscowe centerency.

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Speaker 4: We would like that interview with mister mister Schiller. After all,

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Speaker 4: he appears, I see you don't happen to have the phone,

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Speaker 4: and he said, oh yeah, handed it to me. I

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Speaker 4: did my piece to camera and did an interview with

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Speaker 4: Phil Schiller, which we didn't use, and I had my

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Speaker 4: shot on the on the main news and the following weekend,

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Speaker 4: a tech columnist in The Venerable Observant newspaper described me

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Speaker 4: as looking like a French medieval peasant holding a piece

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Speaker 4: of the one true cross us, which was because God

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Speaker 4: damn Christ, I had actually got the whole of the

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Speaker 4: damn thing. So, which is a long way around saying

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Speaker 4: CS has been sort of twenty years of disappointment for me, mainly,

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Speaker 4: but this year I decided, against my better insects, I

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Speaker 4: would go to one press conference. Yeah, and that was

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Speaker 4: the Lego one, right, and the contrast between that experience

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Speaker 4: and sitting through I didn't bother to go, but watch

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Speaker 4: the live stream of the Nvidia press conference was quite instructive.

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Speaker 2: We hurst ourselves with that on the first day. It

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Speaker 2: was truly truly boring.

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Speaker 4: Yeah, but where is the great thing about the Lego

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Speaker 4: one was we got a little freebie, a little package

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Speaker 4: of bricks on every seat. It was short, it was

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Speaker 4: forty five minutes. It was the toy industry and the

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Speaker 4: media industry because Disney and lucasfilms were there and Star

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Speaker 4: Wars characters telling the industry. Actually we know a bit

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Speaker 4: about storytelling, and which I'm afraid dear mister Jensen Wining

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Speaker 4: he obviously did not.

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Speaker 2: He doesn't and it's weird. Other than these shiny jackets,

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Speaker 2: he doesn't really have much going on. And mostly I

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Speaker 2: was already the listeners already heard me say this, but

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Speaker 2: it's like it was mostly him just repeating stuff from

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Speaker 2: three to six months ago. It felt kind of washed,

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Speaker 2: and I mean it was quite enjoyable.

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Speaker 4: When the tech when he's describing the most advanced, exciting

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Speaker 4: technology in the world and his PowerPoint failed.

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Speaker 2: Someone's getting shot.

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Speaker 4: Well, somebody, a whole team is going to be replaced

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Speaker 4: by AI within seconds.

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Speaker 5: I do respect when it's a live text presentation now though,

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Speaker 5: because you know now they just flies to the Steve

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Speaker 5: Jobs Theater for ALP. Watch a filmed presentation in a theater, like.

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Speaker 4: No sense of peril.

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Speaker 2: Yeah, that's you know what in video could use a

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Speaker 2: little peril in that. There should have been some trap

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Speaker 2: doors or something. It was. It was very bizarre. It

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Speaker 2: was like two hours of a man clearly trying to

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Speaker 2: feign excitement and he's just like, yeah, Blackwell might come

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Speaker 2: out at some point. Yeah, it's in full full manufacturer,

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Speaker 2: and just the audience going yeah. The reaction was really sad.

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Speaker 2: It was it was, it was. It was.

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Speaker 4: It was like a you know, a failing politician at

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Speaker 4: party conference setting up the que lines. Applaud, applaud and yeah.

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Speaker 2: Yeah yeah it's thank god. Okay, it's good to good

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Speaker 2: to know other people heard that. But let's let's change,

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Speaker 2: because Adam, what have you seen? You've just got here,

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Speaker 2: So what wonders if you bold?

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Speaker 6: You know, I'm sort of drawn to everything that's not

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Speaker 6: AI related.

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Speaker 3: First of all, I was.

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Speaker 2: Just walking your goal the section.

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Speaker 6: Well, what I found was h Strangely, I saw like

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Speaker 6: five or six products related to teeth.

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Speaker 3: Have you guys noticed a teeth trend? The teeth Every

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Speaker 3: everywhere I'm looking.

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Speaker 4: There's usually it's an AI toothbrush.

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Speaker 6: The first thing I saw was I was all the

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Speaker 6: AI you know, blurred out, and I just my vision

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Speaker 6: honed in on something called the y brush. Yeah, it's

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Speaker 6: a toothbrush, but what if the end of the toothbrush

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Speaker 6: was the same shape as all of your teeth, So

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Speaker 6: you just put it over all of your teeth at once,

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Speaker 6: and it brushes all your teeth simultaneously, And you know

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Speaker 6: what as the owner of an electric toothbrush, and it

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Speaker 6: has a timer and I'd do it for two minutes

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Speaker 6: and it's like thirty seconds per quadrant and it's so

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Speaker 6: boring and I have to listen to it to like

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Speaker 6: two minutes of a podcast. I was like, you know what,

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Speaker 6: ten seconds to brush all my teeth? Yes, someone buy

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Speaker 6: me this shit at Brookstone for Christmas.

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Speaker 3: Thank you. This is what cees is for. This is

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Speaker 3: what it's supposed to be. Is dumb garbage that says

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Speaker 3: is going to save you a minute and a half. Right,

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Speaker 3: that's nice.

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Speaker 2: I like that, did you see anything that was useless?

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Speaker 2: I was just describe the rest of the cees. I

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Speaker 2: guess do what else did you do? You see more

359
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Speaker 2: teeth related things?

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Speaker 3: Yeah, look, I even got a teeth I got. I

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Speaker 3: got a free night guard. So I.

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Speaker 6: Have a loose plastic bags and beautiful I've taken out

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Speaker 6: of my hoodie pocket.

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Speaker 3: I've produced it.

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00:19:15,000 --> 00:19:19,160
Speaker 6: Yeah, so there was a smart night guard that I wear,

366
00:19:19,160 --> 00:19:21,600
Speaker 6: a nightguard for tooth grinding. And it's a night guard

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00:19:21,640 --> 00:19:25,919
Speaker 6: that will much like the taint zapper when you grind

368
00:19:25,920 --> 00:19:27,960
Speaker 6: your teeth, it'll buzz in the middle of the night

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Speaker 6: to stop you from grinding your teeth. Which reminds me

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00:19:31,000 --> 00:19:32,240
Speaker 6: of when I was a kid and I used to

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Speaker 6: wet the bed and my parents would put the pistol

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Speaker 6: arm did it? And you know the pistol arm. No,

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Speaker 6: this is from the early nineties. This has been very

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Speaker 6: high tech. It's a little so you know, if you

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Speaker 6: used to wet the bed, it was just common. You know,

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00:19:44,440 --> 00:19:49,119
Speaker 6: it happens to a lot of people. Ed like, you know,

377
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Speaker 6: I'm like older than you.

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Speaker 3: Should be on wedding the bed and and so.

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Speaker 4: Once again, when you get to a age, well you

380
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Speaker 4: would be interested in this product.

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Speaker 6: It's it's a pad like with election roads out that

382
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Speaker 6: you put into your underpants and then when it to

383
00:20:02,520 --> 00:20:05,359
Speaker 6: text moisture, it's connected to a little speaker that is

384
00:20:05,400 --> 00:20:07,159
Speaker 6: like attached to your shirt.

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Speaker 2: And so this is a so this is sorry, I'm lost,

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Speaker 2: it's the piste along.

387
00:20:14,280 --> 00:20:16,479
Speaker 6: Now I'm describing something that was inflicted on me as

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Speaker 6: a child that frankly, was almost like a form of

389
00:20:19,359 --> 00:20:21,400
Speaker 6: abuse to stop me from doing something that just.

390
00:20:21,400 --> 00:20:25,400
Speaker 2: Naturally stops, like something that kids do accidentally.

391
00:20:25,560 --> 00:20:28,160
Speaker 3: Yeah, like a very common thing. But it's a shame

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00:20:28,200 --> 00:20:29,359
Speaker 3: alarm right now, like.

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Speaker 4: A short color for dogs, is that right?

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00:20:31,920 --> 00:20:32,160
Speaker 3: Yeah?

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00:20:32,359 --> 00:20:35,840
Speaker 6: Yeah, this is the same thing for grinding your teeth.

396
00:20:36,280 --> 00:20:38,439
Speaker 6: And actually it's not a bad idea because I do

397
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Speaker 6: I can't.

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Speaker 2: Yeah, I can actually see the use of that because

399
00:20:40,560 --> 00:20:42,439
Speaker 2: I grind my teeth sometimes as well, and I'm I

400
00:20:42,480 --> 00:20:44,320
Speaker 2: find myself accidentally doing it.

401
00:20:44,520 --> 00:20:47,040
Speaker 6: Yeah, and I wear a night guard, and you know,

402
00:20:47,200 --> 00:20:49,439
Speaker 6: sometimes I'm like, am I grinding my teeth? Do I

403
00:20:49,520 --> 00:20:52,040
Speaker 6: need to keep wearing the night guard? Or I switched

404
00:20:52,040 --> 00:20:53,960
Speaker 6: to sleeping on my side? Is it still happening?

405
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Speaker 3: You know that? I was like, all right, that's kind

406
00:20:56,119 --> 00:20:56,440
Speaker 3: of nice.

407
00:20:56,480 --> 00:20:59,399
Speaker 6: And then they they gave me a they molded a

408
00:20:59,440 --> 00:21:01,560
Speaker 6: nightguard to my teeth, and they gave me a free nightguard.

409
00:21:01,560 --> 00:21:03,840
Speaker 6: And this sort of like loose bag. You might use

410
00:21:03,880 --> 00:21:05,320
Speaker 6: the bag produce at the supermarket.

411
00:21:05,440 --> 00:21:08,439
Speaker 2: This looks like what a criminal would hand drugs to someone.

412
00:21:08,480 --> 00:21:09,359
Speaker 2: And it's just.

413
00:21:09,280 --> 00:21:14,520
Speaker 5: Like going to central seat over my teeth.

414
00:21:14,640 --> 00:21:17,199
Speaker 2: On your headline, I sober, it says Steph Cory finally

415
00:21:17,200 --> 00:21:21,639
Speaker 2: finishes eating mouth God. But for the three basketball listeners, no,

416
00:21:21,760 --> 00:21:22,600
Speaker 2: that's that's good.

417
00:21:22,800 --> 00:21:25,200
Speaker 6: There's a jerkoff machine. You saill a jerk off machine

418
00:21:25,240 --> 00:21:25,879
Speaker 6: right in the Eureka.

419
00:21:27,880 --> 00:21:28,800
Speaker 3: It's called the Handy.

420
00:21:29,040 --> 00:21:30,400
Speaker 5: Yeah, that's good, and.

421
00:21:30,359 --> 00:21:32,199
Speaker 6: The handy too. They've got both of them in the

422
00:21:32,240 --> 00:21:35,680
Speaker 6: same what's the sequel? Like, it looked like that's basically

423
00:21:35,680 --> 00:21:36,280
Speaker 6: the same thing.

424
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Speaker 5: Just shakes heart.

425
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Speaker 8: Yeah.

426
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Speaker 5: I saw that thing two years ago and I was like, okay, cool,

427
00:21:42,240 --> 00:21:44,399
Speaker 5: that was that's funny looking. And then it's back here

428
00:21:44,440 --> 00:21:46,800
Speaker 5: again and I'm like, bill more the same.

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Speaker 6: It's it's like, got all this copy where it's like,

430
00:21:49,680 --> 00:21:52,760
Speaker 6: don't worry everybody looks twice like, yep, it really is.

431
00:21:53,920 --> 00:21:56,720
Speaker 3: It's really hamming it up, you know, the only.

432
00:21:56,560 --> 00:21:59,080
Speaker 2: Way to do that is be super serious about yeah,

433
00:21:59,200 --> 00:22:02,320
Speaker 2: just like you're like, excuse me, said something funny about this.

434
00:22:02,640 --> 00:22:03,840
Speaker 3: Yeah, see that would be better.

435
00:22:03,880 --> 00:22:05,919
Speaker 2: That would be so much more interesting. It's like a

436
00:22:06,000 --> 00:22:07,360
Speaker 2: huh yeah, we went there.

437
00:22:07,680 --> 00:22:11,520
Speaker 6: Yeah, it's very much the Cards against Humanity. They're like

438
00:22:11,920 --> 00:22:13,200
Speaker 6: just for nerds.

439
00:22:12,800 --> 00:22:16,320
Speaker 3: To be able to I recognize this as comedy.

440
00:22:16,160 --> 00:22:18,280
Speaker 5: You know, and be able to let I mean CS

441
00:22:18,320 --> 00:22:21,080
Speaker 5: as a show is extremely prudish and does not fuck

442
00:22:21,400 --> 00:22:22,880
Speaker 5: like the Rue.

443
00:22:23,160 --> 00:22:25,440
Speaker 3: Yeah, well, the jerk Off Machine is not a fucking machine.

444
00:22:25,440 --> 00:22:26,080
Speaker 3: I'll tell you that.

445
00:22:26,119 --> 00:22:28,879
Speaker 5: There was a time where there was like a like

446
00:22:28,920 --> 00:22:31,040
Speaker 5: back in twenty nineteen, twenty twenty, there was like a

447
00:22:31,080 --> 00:22:35,919
Speaker 5: controversy because they had given a vibrator, uh vibrator. It

448
00:22:35,960 --> 00:22:39,560
Speaker 5: was like a micro robotic kind of lingus dildo type

449
00:22:39,640 --> 00:22:44,280
Speaker 5: device and it was the Laura de Carlo and they

450
00:22:44,280 --> 00:22:47,280
Speaker 5: had given them a innovation award and they're like no, no, no, no,

451
00:22:47,320 --> 00:22:49,800
Speaker 5: we're gonna take the innovation award away. And then everyone's like.

452
00:22:49,840 --> 00:22:52,520
Speaker 2: Why did they take it away? Because it was imbrober

453
00:22:53,280 --> 00:22:55,840
Speaker 2: uh so they could give it to just something that didn't.

454
00:22:55,560 --> 00:22:58,520
Speaker 5: Exist, Like yeah, they were just like this is not

455
00:22:58,760 --> 00:23:03,200
Speaker 5: this is not robotics. And everyone was like yeah, it's robotically.

456
00:23:04,280 --> 00:23:06,439
Speaker 6: Like they gave it and people complained and then they

457
00:23:06,440 --> 00:23:07,320
Speaker 6: took it away again.

458
00:23:07,480 --> 00:23:11,199
Speaker 2: That's so that the most cowardly fuckless ship I've heard

459
00:23:11,280 --> 00:23:11,480
Speaker 2: in my.

460
00:23:11,880 --> 00:23:14,520
Speaker 5: Then the next year, the next year, they're like, no,

461
00:23:14,600 --> 00:23:18,120
Speaker 5: we falk get all the sex tech companies to come

462
00:23:18,160 --> 00:23:20,520
Speaker 5: back and we'll have a sex tech pavilion. And they

463
00:23:20,520 --> 00:23:23,239
Speaker 5: had a whole camper. They had like a build your

464
00:23:23,280 --> 00:23:28,359
Speaker 5: own dildo experience, which I did and you know I

465
00:23:28,400 --> 00:23:31,960
Speaker 5: was reporting on it. And now it's just like, where's

466
00:23:32,000 --> 00:23:35,359
Speaker 5: the sex tech companies. It's one hand job device thing,

467
00:23:35,520 --> 00:23:36,920
Speaker 5: and it's like, okay, I would.

468
00:23:36,680 --> 00:23:39,280
Speaker 3: Have expected build adild to be a big hit.

469
00:23:39,480 --> 00:23:42,800
Speaker 6: You know, it was that year they could, you know,

470
00:23:42,880 --> 00:23:44,679
Speaker 6: have have it be a kiosk in the mall. You

471
00:23:44,720 --> 00:23:46,960
Speaker 6: know you go with your for your friend's birthday.

472
00:23:47,119 --> 00:23:54,560
Speaker 2: Not smaller, smaller, smaller, you got any Yeah, we got

473
00:23:54,560 --> 00:24:00,200
Speaker 2: a special one out back right, not small than that. No.

474
00:24:00,680 --> 00:24:03,360
Speaker 2: I like this though, because David Roth sadly was only

475
00:24:03,359 --> 00:24:06,680
Speaker 2: here yesterday because the sex conversation we had towards the

476
00:24:06,760 --> 00:24:10,000
Speaker 2: end of Lost the Yes, just watching him like, no,

477
00:24:10,080 --> 00:24:12,240
Speaker 2: he's a lovely guy. I'm sure he's had sex. I'm

478
00:24:12,280 --> 00:24:14,640
Speaker 2: not going to comment further on that before I can

479
00:24:14,720 --> 00:24:17,240
Speaker 2: get comment from him, which would be really funny to

480
00:24:17,280 --> 00:24:19,320
Speaker 2: text him. Actually lost the Yes, I got in trouble

481
00:24:19,320 --> 00:24:22,359
Speaker 2: for texting my family group chat what my dad's horny

482
00:24:22,440 --> 00:24:26,160
Speaker 2: level was. Sorry, dad, you can now hear this anyway?

483
00:24:26,680 --> 00:24:30,280
Speaker 2: Your son's doing you proud? Yeah, it's it's it's actually

484
00:24:30,359 --> 00:24:32,360
Speaker 2: kind of nice to hear this useful stuff.

485
00:24:32,760 --> 00:24:34,000
Speaker 1: But I guess it usually is.

486
00:24:34,080 --> 00:24:38,040
Speaker 5: It's just takes six years of you know, development.

487
00:24:37,520 --> 00:24:39,959
Speaker 2: Of bum buch.

488
00:24:39,720 --> 00:24:41,360
Speaker 5: Of taint research is just.

489
00:24:41,640 --> 00:24:43,399
Speaker 3: Like coming back here again and again.

490
00:24:44,080 --> 00:24:45,000
Speaker 4: Yeah.

491
00:24:45,080 --> 00:24:47,119
Speaker 5: Yeah, And it takes a long time to get some

492
00:24:47,200 --> 00:24:49,879
Speaker 5: of the stuff actually made. It's it's not like a

493
00:24:51,080 --> 00:24:53,160
Speaker 5: you know, a lot of the I say, a lot

494
00:24:53,200 --> 00:24:55,760
Speaker 5: of the tech I see here on my Beata's vaporware,

495
00:24:55,880 --> 00:24:57,439
Speaker 5: because it's just like where where is it?

496
00:24:57,520 --> 00:24:58,000
Speaker 1: Where is it?

497
00:24:58,320 --> 00:25:01,720
Speaker 5: Sometimes it takes six years to get approval, you know,

498
00:25:01,800 --> 00:25:04,159
Speaker 5: and bunny testing to make sure it's safe enough for

499
00:25:04,320 --> 00:25:07,560
Speaker 5: human use and that there's a scientific reason why you

500
00:25:07,640 --> 00:25:09,200
Speaker 5: might want to actually use this shit.

501
00:25:09,520 --> 00:25:12,600
Speaker 2: Yeah. So yeah, it's funny like the non AI stuff

502
00:25:12,640 --> 00:25:15,159
Speaker 2: is like for real people doing things like fucking.

503
00:25:15,520 --> 00:25:18,679
Speaker 5: Well, you know, they are looking into AI for the

504
00:25:18,720 --> 00:25:19,800
Speaker 5: tant Zappera as well.

505
00:25:20,280 --> 00:25:23,720
Speaker 2: So I just I if you can as a listener,

506
00:25:23,760 --> 00:25:25,639
Speaker 2: if you're hearing this and you see something at CS

507
00:25:25,640 --> 00:25:28,479
Speaker 2: with AI and it works, please let me know because

508
00:25:28,840 --> 00:25:31,760
Speaker 2: so far, I'm oh, four hundred I think it is.

509
00:25:31,920 --> 00:25:35,879
Speaker 6: I had a really interesting conversation with a woman and

510
00:25:35,920 --> 00:25:38,119
Speaker 6: it was like the sort of conversation where I was like,

511
00:25:38,119 --> 00:25:40,040
Speaker 6: I wish I had had a camera I was recording

512
00:25:40,040 --> 00:25:41,640
Speaker 6: it or something, because it was one of the first

513
00:25:41,680 --> 00:25:44,000
Speaker 6: boots I went up to and I'm like, I flew

514
00:25:44,119 --> 00:25:44,520
Speaker 6: here today.

515
00:25:44,520 --> 00:25:45,359
Speaker 3: I didn't get enough sleep.

516
00:25:45,400 --> 00:25:47,040
Speaker 6: I'm like kind of zonked out, so I just walk

517
00:25:47,119 --> 00:25:51,800
Speaker 6: up to this thing and it's like AI fast food

518
00:25:51,920 --> 00:25:56,199
Speaker 6: ordering thing. Yeah, well the most obvious possible thing. But

519
00:25:56,240 --> 00:25:58,240
Speaker 6: the guy demonstrates it and he's like, I have a

520
00:25:58,280 --> 00:25:59,880
Speaker 6: coffee please, do you want to make it a calm?

521
00:26:00,400 --> 00:26:02,240
Speaker 3: Yes, I want to make it a combo? Could I

522
00:26:02,280 --> 00:26:03,040
Speaker 3: have a croissant?

523
00:26:03,080 --> 00:26:06,600
Speaker 6: And it goes five croissants and then do you want

524
00:26:06,640 --> 00:26:08,119
Speaker 6: to make it a combo? He says yes, and then

525
00:26:08,160 --> 00:26:10,280
Speaker 6: it makes one of the croissants a combo, and he

526
00:26:10,280 --> 00:26:13,080
Speaker 6: says could I remove the other four croissants and it

527
00:26:13,119 --> 00:26:15,280
Speaker 6: goes yes. See it can remove stuff you know, and

528
00:26:15,320 --> 00:26:16,800
Speaker 6: they're like, what do you think? And I was like,

529
00:26:17,440 --> 00:26:20,120
Speaker 6: I mean, it seems worse than ordering. If I were

530
00:26:20,160 --> 00:26:22,720
Speaker 6: to confront this rather than a person like I wouldn't

531
00:26:22,760 --> 00:26:23,040
Speaker 6: like it.

532
00:26:23,080 --> 00:26:24,160
Speaker 2: I'd be actively annoyed.

533
00:26:24,400 --> 00:26:27,680
Speaker 3: Yeah. And you know they're like, well, you know, sounds bad.

534
00:26:27,680 --> 00:26:31,040
Speaker 2: I'm like, yeah, yeah, but it sounds bad, but also

535
00:26:31,080 --> 00:26:31,399
Speaker 2: it is.

536
00:26:31,840 --> 00:26:33,960
Speaker 3: Yeah, it needs a bit of wo But what I

537
00:26:34,000 --> 00:26:36,119
Speaker 3: asked the woman was, I was like, she was very

538
00:26:36,200 --> 00:26:37,560
Speaker 3: nice to engage in this conversation.

539
00:26:37,680 --> 00:26:41,600
Speaker 6: I was like, because she was saying, you know this,

540
00:26:42,560 --> 00:26:46,040
Speaker 6: people want a good customer experience, and a person doesn't

541
00:26:46,040 --> 00:26:47,639
Speaker 6: always give you a good customer experience.

542
00:26:47,680 --> 00:26:49,120
Speaker 5: For some robot doesn't, so.

543
00:26:49,119 --> 00:26:50,760
Speaker 2: I give you a bad one every time.

544
00:26:50,960 --> 00:26:51,280
Speaker 3: Yeah.

545
00:26:51,440 --> 00:26:53,280
Speaker 6: She was like, I checked it at the hotel today

546
00:26:53,320 --> 00:26:55,800
Speaker 6: and the guy was rude and and you know, the

547
00:26:56,760 --> 00:26:58,960
Speaker 6: AI can never be rude. It'll always be in a

548
00:26:58,960 --> 00:27:02,000
Speaker 6: good mood. And I said, Okay, even if that's true,

549
00:27:02,119 --> 00:27:05,360
Speaker 6: if you you know, did the travel I did here today, right,

550
00:27:05,440 --> 00:27:07,679
Speaker 6: You got in a way mow. Then you get to

551
00:27:07,680 --> 00:27:10,199
Speaker 6: the airport, there's no person to check in. It's just

552
00:27:10,240 --> 00:27:13,800
Speaker 6: a kiosk. There's no TSA agent, there's no person to

553
00:27:13,880 --> 00:27:16,000
Speaker 6: talk to you in security. When you go get your coffee,

554
00:27:16,040 --> 00:27:18,000
Speaker 6: it's just a you know, a thing you talk to

555
00:27:18,119 --> 00:27:20,720
Speaker 6: and then it dispenses it. On the plane there's no

556
00:27:20,720 --> 00:27:22,400
Speaker 6: one to talk to. You get to the hotel, there's

557
00:27:22,440 --> 00:27:24,680
Speaker 6: no person there, right, and it just gives you a key.

558
00:27:24,800 --> 00:27:27,639
Speaker 6: Is that a world that you would like to live in?

559
00:27:28,480 --> 00:27:28,840
Speaker 2: Yeah?

560
00:27:28,920 --> 00:27:31,320
Speaker 5: Japan they do that in Japan.

561
00:27:32,320 --> 00:27:33,720
Speaker 3: Okay, we do that there.

562
00:27:34,480 --> 00:27:35,480
Speaker 2: Yeah, but it's cool there.

563
00:27:36,359 --> 00:27:39,760
Speaker 4: I don't know. Yeah, as a as a UK citizen

564
00:27:39,800 --> 00:27:44,160
Speaker 4: coming through the American border, I'd quite like to you know,

565
00:27:44,400 --> 00:27:46,640
Speaker 4: global entry is have a rope book.

566
00:27:47,240 --> 00:27:52,360
Speaker 6: There's certainly some things, but like she goes, she goes. Well,

567
00:27:52,520 --> 00:27:56,040
Speaker 6: you know, I like talking to people, but most people don't.

568
00:27:56,160 --> 00:27:58,200
Speaker 6: I like it, So, you know, I would maybe prefer

569
00:27:58,240 --> 00:27:59,879
Speaker 6: to have a person. I'm like, I think most people

570
00:28:00,520 --> 00:28:01,760
Speaker 6: do like other people.

571
00:28:01,840 --> 00:28:04,159
Speaker 5: To your point, I was at pepcom last night and

572
00:28:04,200 --> 00:28:05,680
Speaker 5: we saw this thing called ag.

573
00:28:05,640 --> 00:28:07,399
Speaker 2: I bought and I've heard about that.

574
00:28:07,600 --> 00:28:10,280
Speaker 5: So this this this giant bot and then there's like

575
00:28:10,320 --> 00:28:12,919
Speaker 5: a smaller version next to it. So just imagine this

576
00:28:13,040 --> 00:28:15,440
Speaker 5: that the smaller version is like doing taichi and break

577
00:28:15,560 --> 00:28:18,400
Speaker 5: dancing like a psycho bot. It's like quite smoothly too,

578
00:28:18,800 --> 00:28:22,080
Speaker 5: very disconcerting. And the big bot is supposed to be

579
00:28:22,160 --> 00:28:25,160
Speaker 5: shaking tech reporters hands because the purpose of this bot

580
00:28:25,320 --> 00:28:27,919
Speaker 5: is to greet people at museums and that stuff. And

581
00:28:27,960 --> 00:28:30,439
Speaker 5: it's like it's supposed you're supposed to walk up to

582
00:28:30,480 --> 00:28:32,480
Speaker 5: it and it has like a doesn't have a face,

583
00:28:32,480 --> 00:28:35,440
Speaker 5: it just has a screen and it's like, my name

584
00:28:35,520 --> 00:28:37,520
Speaker 5: is Luca, say hi to me or whatever, and you're

585
00:28:37,520 --> 00:28:39,640
Speaker 5: supposed to say Hi, Luca, and it's supposed to put

586
00:28:39,640 --> 00:28:41,600
Speaker 5: out its hand, and you're supposed to put your hand

587
00:28:41,600 --> 00:28:44,640
Speaker 5: out and shake the robot's hand. And so my colleague

588
00:28:44,720 --> 00:28:47,600
Speaker 5: Jen Twey, she's our smart home reviewer, and she's like

589
00:28:47,920 --> 00:28:51,719
Speaker 5: on a robot mission this particular cees. She puts out

590
00:28:51,720 --> 00:28:53,680
Speaker 5: her I'm like, Jen, you know you're doing the robots.

591
00:28:53,720 --> 00:28:56,520
Speaker 5: Let me get a video of you shaking this robot's hands.

592
00:28:56,560 --> 00:29:00,120
Speaker 5: This robot was like incapable of shaking her hands, and

593
00:29:00,520 --> 00:29:03,000
Speaker 5: the one time it does, it pulls her hand down

594
00:29:03,120 --> 00:29:05,720
Speaker 5: and she's like Jesus Christ, and then it just starts

595
00:29:05,720 --> 00:29:07,440
Speaker 5: flirting with her and.

596
00:29:07,400 --> 00:29:10,240
Speaker 2: We're like, oh, have you heard about the more?

597
00:29:12,600 --> 00:29:12,880
Speaker 1: Yeah?

598
00:29:12,880 --> 00:29:15,560
Speaker 5: But like the funniest thing about this show is that

599
00:29:15,640 --> 00:29:18,080
Speaker 5: this is the largest tech show in the in the US,

600
00:29:18,080 --> 00:29:20,160
Speaker 5: it's the big thing of the year. No one can

601
00:29:20,160 --> 00:29:22,640
Speaker 5: get fucking Bluetooth or Wi Fi correct at this show,

602
00:29:22,680 --> 00:29:25,520
Speaker 5: and so all the demos fucking fail all the time.

603
00:29:25,640 --> 00:29:27,680
Speaker 2: I just don't want to touch any more. I don't

604
00:29:27,680 --> 00:29:30,160
Speaker 2: want want to go places. I don't want to talk.

605
00:29:30,280 --> 00:29:31,280
Speaker 2: I like seeing people.

606
00:29:31,760 --> 00:29:32,880
Speaker 4: You don't want to touch your robots.

607
00:29:32,960 --> 00:29:34,400
Speaker 2: I don't want to touch anyone. I don't want to

608
00:29:34,400 --> 00:29:37,240
Speaker 2: shake hands with someone. I want to go to the museum.

609
00:29:37,600 --> 00:29:38,320
Speaker 5: Just the robots.

610
00:29:38,360 --> 00:29:41,880
Speaker 6: But to the point that I was asking the presenter

611
00:29:41,920 --> 00:29:43,240
Speaker 6: I was talking to like you you.

612
00:29:43,320 --> 00:29:45,080
Speaker 2: I'm finally talking to me, I quite like And I

613
00:29:45,120 --> 00:29:47,560
Speaker 2: think if I just walk through a series of machines,

614
00:29:48,200 --> 00:29:49,720
Speaker 2: that was like when I went to Korea, there was

615
00:29:49,840 --> 00:29:52,360
Speaker 2: a lot of machines, but like still the occasional person.

616
00:29:52,520 --> 00:29:54,640
Speaker 2: If it was just to your description, Adam, just a

617
00:29:54,720 --> 00:29:58,280
Speaker 2: series of screens that I interacted, but that would fucking suck.

618
00:29:59,320 --> 00:30:01,600
Speaker 2: I'd feel a loan in a way that I quite

619
00:30:01,640 --> 00:30:03,840
Speaker 2: like being solitary, But that would just be like I

620
00:30:03,840 --> 00:30:05,320
Speaker 2: feel like I'm going through tubes.

621
00:30:05,640 --> 00:30:05,920
Speaker 3: Yeah.

622
00:30:06,600 --> 00:30:09,360
Speaker 6: I think what it's gonna be the future that they're

623
00:30:09,360 --> 00:30:11,080
Speaker 6: gonna have I describe, you know, when I go to

624
00:30:11,080 --> 00:30:14,520
Speaker 6: the Alaska terminal at Lax, they've specifically done this where

625
00:30:14,560 --> 00:30:17,960
Speaker 6: like there's no check in counter, it's mostly kiosks and

626
00:30:17,960 --> 00:30:20,640
Speaker 6: there's like two people roaming around. So it's the self

627
00:30:20,760 --> 00:30:24,200
Speaker 6: checkout of airlines. And whenever I fly Alaska, there's always

628
00:30:24,240 --> 00:30:25,880
Speaker 6: some fucking problem with my ticket. I don't know what

629
00:30:25,920 --> 00:30:28,120
Speaker 6: it is with their system, and so every time I'm like,

630
00:30:28,160 --> 00:30:31,920
Speaker 6: where's the person? And that's what it's gonna be everywhere

631
00:30:32,120 --> 00:30:34,960
Speaker 6: And this as I'm talking to this woman, she goes, well,

632
00:30:35,000 --> 00:30:37,200
Speaker 6: I want people to have the choice. Maybe they want

633
00:30:37,200 --> 00:30:39,080
Speaker 6: to use the automated system. I'm like, I don't think

634
00:30:39,080 --> 00:30:41,520
Speaker 6: we'll have a choice, and she goes, yeah, we won't

635
00:30:41,560 --> 00:30:43,600
Speaker 6: have a choice because it's gonna be so much cheaper

636
00:30:43,600 --> 00:30:45,600
Speaker 6: to automate everything they're gonna do, like.

637
00:30:45,520 --> 00:30:47,120
Speaker 5: The robo things. You call your bank and you just

638
00:30:47,200 --> 00:30:49,600
Speaker 5: want to talk to someone, they're like, press one for

639
00:30:49,760 --> 00:30:51,400
Speaker 5: the thing that you don't need to do. I am

640
00:30:51,560 --> 00:30:54,000
Speaker 5: press see for the second thing you don't need to do,

641
00:30:54,080 --> 00:30:55,520
Speaker 5: and you're just on the phone. You're pressing zero.

642
00:30:55,920 --> 00:30:58,680
Speaker 2: Give me I would take that, and we're going to

643
00:30:58,800 --> 00:31:00,760
Speaker 2: rotate to the next thirteen second. But I just want

644
00:31:00,800 --> 00:31:05,280
Speaker 2: to say as a British person, every fucking single American

645
00:31:05,440 --> 00:31:10,160
Speaker 2: voice activated thing sucks for me. It's just like, okay,

646
00:31:10,480 --> 00:31:16,040
Speaker 2: give me a reminder for seven pm calling your mother, calling,

647
00:31:16,320 --> 00:31:19,880
Speaker 2: calling mum, sending her your last link, which was the

648
00:31:19,920 --> 00:31:22,960
Speaker 2: teen sapper. All right, we're gonna rotate through the next ad.

649
00:31:23,000 --> 00:31:26,080
Speaker 2: I fully endorse and if you don't like it, email

650
00:31:26,160 --> 00:31:41,120
Speaker 2: me at god at gov dot biz. Welcome Berg, Welcome Berg,

651
00:31:41,240 --> 00:31:44,600
Speaker 2: Welcome Berg, Zitron, We're back. It's the Consumer Electronics Show,

652
00:31:44,680 --> 00:31:46,720
Speaker 2: better offline and joining me in the room is the

653
00:31:46,800 --> 00:31:50,680
Speaker 2: victorious song of the Verge, Robert Evans of Behind the Bastards.

654
00:31:50,720 --> 00:31:53,440
Speaker 9: Yeah, I gotta do this real quick. Sorry, Yeah, I

655
00:31:53,760 --> 00:31:55,360
Speaker 9: just like on air was the best way.

656
00:31:55,480 --> 00:31:58,120
Speaker 2: I've decided not to do that because I've drunk so

657
00:31:58,280 --> 00:32:00,880
Speaker 2: many diet cokes already and I'm I've got like three

658
00:32:00,920 --> 00:32:03,120
Speaker 2: more in me. And of course Adam kind of a

659
00:32:03,200 --> 00:32:05,440
Speaker 2: wonderful stand up on the host of the Factory podcast.

660
00:32:05,480 --> 00:32:07,400
Speaker 6: You know, I stayed at your apartment once and I

661
00:32:07,520 --> 00:32:09,720
Speaker 6: was frankly concerned at how much diet coke was in

662
00:32:09,760 --> 00:32:12,560
Speaker 6: that apartment and no coffee maker. You're one of those

663
00:32:12,600 --> 00:32:15,000
Speaker 6: no are you die coke? In the morning, pervert.

664
00:32:15,320 --> 00:32:17,880
Speaker 2: I'm a diet coke whenever. Perfect. Oh man, it was

665
00:32:18,480 --> 00:32:20,600
Speaker 2: ten thirty pm and I went to bed half an

666
00:32:20,640 --> 00:32:23,920
Speaker 2: hour later and I drank one of those motherfuckers with

667
00:32:23,920 --> 00:32:29,440
Speaker 2: my sleeping meds. Yeah, I'm a they're gonna.

668
00:32:29,240 --> 00:32:30,840
Speaker 5: Say, so, caffeine doesn't affect you.

669
00:32:31,160 --> 00:32:34,040
Speaker 2: It just it's fine. Yeah, Like I have like ADHD,

670
00:32:34,080 --> 00:32:35,200
Speaker 2: and I take medicae.

671
00:32:35,040 --> 00:32:37,000
Speaker 9: Off prescription at all, but I.

672
00:32:36,920 --> 00:32:40,520
Speaker 2: Also have concerto. Like they give me that, but the

673
00:32:40,520 --> 00:32:43,480
Speaker 2: doctor gives me that because I actually unsupposingly have ADHD.

674
00:32:43,520 --> 00:32:45,880
Speaker 2: You haven't worked that out from the tens of thousands words.

675
00:32:46,400 --> 00:32:50,520
Speaker 2: So Robert, you got the sea of intuit to say something.

676
00:32:50,560 --> 00:32:55,080
Speaker 9: The CMO into it. Yeah, So I started my day.

677
00:32:55,120 --> 00:32:57,360
Speaker 9: All I did really today was panels. I was in

678
00:32:57,400 --> 00:33:02,280
Speaker 9: like six different fucking panels, and the first one was

679
00:33:02,520 --> 00:33:05,640
Speaker 9: about uh one, I should probably have had this.

680
00:33:06,200 --> 00:33:10,360
Speaker 2: It's okay, intuit intu. It's wonderful as well because they

681
00:33:10,360 --> 00:33:12,719
Speaker 2: have this new chat GPT integration. They've got it.

682
00:33:13,360 --> 00:33:16,000
Speaker 9: That's exactly what I was talking about. So I was

683
00:33:16,040 --> 00:33:20,200
Speaker 9: in this uh this panel, which is like a leadership

684
00:33:20,280 --> 00:33:26,840
Speaker 9: roundtable sorry on like technology and advertising. Although the actual

685
00:33:26,880 --> 00:33:29,040
Speaker 9: panel did not seem to have much to do with that,

686
00:33:29,840 --> 00:33:34,920
Speaker 9: and the CMO of Intuit was there and talked about

687
00:33:35,000 --> 00:33:38,040
Speaker 9: the integration that they've been doing with chat GPT and

688
00:33:38,120 --> 00:33:40,720
Speaker 9: talked about how like they're partnering with open ai so

689
00:33:40,800 --> 00:33:44,200
Speaker 9: that you have when you're doing your taxes, you have

690
00:33:44,280 --> 00:33:47,080
Speaker 9: access to like a chat bot basically to help do

691
00:33:47,200 --> 00:33:49,479
Speaker 9: and you can have an agent. The idea is an

692
00:33:49,520 --> 00:33:51,320
Speaker 9: agent will at some point be able to handle most

693
00:33:51,360 --> 00:33:55,800
Speaker 9: of this task. But yeah, well that's kind of the problem,

694
00:33:55,800 --> 00:33:58,080
Speaker 9: and like so there's there's a couple of issues with this.

695
00:33:58,280 --> 00:34:01,680
Speaker 9: When I first started, like, I had been reading about

696
00:34:01,680 --> 00:34:03,720
Speaker 9: the into it integration because they're putting like one hundred

697
00:34:03,760 --> 00:34:07,320
Speaker 9: million dollars into open ai million, not bl the trip.

698
00:34:07,360 --> 00:34:11,120
Speaker 9: I said that clearly. And when that first happened, I

699
00:34:11,160 --> 00:34:14,960
Speaker 9: read an article by a security researcher who was pointing

700
00:34:15,000 --> 00:34:18,560
Speaker 9: out that they are giving into it is giving read

701
00:34:18,640 --> 00:34:23,960
Speaker 9: and write access to an LLM jesus of your tax data,

702
00:34:24,040 --> 00:34:26,600
Speaker 9: of any of the tax data that's integrated into that,

703
00:34:28,239 --> 00:34:32,319
Speaker 9: which is a problem from a security point of view.

704
00:34:32,320 --> 00:34:34,239
Speaker 9: One of the things this guy points out is that

705
00:34:34,600 --> 00:34:37,960
Speaker 9: there's a kind of attack that you can execute against

706
00:34:38,920 --> 00:34:43,200
Speaker 9: AI models that is there's a kind of attack that

707
00:34:43,200 --> 00:34:48,040
Speaker 9: you can execute against AI. Yeah, yeah, prompt injection.

708
00:34:49,360 --> 00:34:51,000
Speaker 2: And that's when you do you go to a website

709
00:34:51,000 --> 00:34:52,480
Speaker 2: which tells the LM to do something.

710
00:34:52,600 --> 00:34:54,719
Speaker 9: Right, a website or one of the things that this

711
00:34:54,760 --> 00:34:58,680
Speaker 9: guy proposes. If you want to put in a fraudulent invoice,

712
00:34:58,680 --> 00:35:00,799
Speaker 9: you could have an invoice that has that's not like

713
00:35:00,960 --> 00:35:03,799
Speaker 9: visible to the naked eye, but that the LLLM would

714
00:35:03,880 --> 00:35:10,200
Speaker 9: read and that text basically executes an exploit. And there's

715
00:35:10,239 --> 00:35:13,360
Speaker 9: not a like you can't defend against these really like

716
00:35:13,400 --> 00:35:15,719
Speaker 9: there's not a functional way to stop this. The point

717
00:35:15,760 --> 00:35:17,560
Speaker 9: he was making is that it's not a question of

718
00:35:17,600 --> 00:35:19,560
Speaker 9: whether or not there will be a data breach of

719
00:35:19,600 --> 00:35:23,520
Speaker 9: people's tax data because they're integrating it with this chatbot.

720
00:35:24,000 --> 00:35:28,719
Speaker 9: But when And the question that this researcher had that

721
00:35:28,840 --> 00:35:31,680
Speaker 9: I thought was a really good question was who is

722
00:35:31,719 --> 00:35:34,680
Speaker 9: then responsible? This is Chris Black published this in a

723
00:35:34,719 --> 00:35:37,520
Speaker 9: website called a raptus, But who is responsible if your

724
00:35:37,640 --> 00:35:41,799
Speaker 9: data all gets leaked because of this integration? Is into

725
00:35:41,840 --> 00:35:45,280
Speaker 9: It responsible? Is open AI responsible? Is whatever third party

726
00:35:45,320 --> 00:35:49,080
Speaker 9: you're using that uses into it software responsible? So I

727
00:35:49,640 --> 00:35:53,480
Speaker 9: asked the Thomas renize, who's the CMO of into it

728
00:35:53,520 --> 00:35:56,200
Speaker 9: that right when they had time for questions, and I said,

729
00:35:56,680 --> 00:35:58,600
Speaker 9: I basically brought up what's in this article? I said,

730
00:35:58,640 --> 00:36:00,640
Speaker 9: given the fact that this is in an ability that

731
00:36:00,680 --> 00:36:02,879
Speaker 9: attacks like this will be carried out and data will

732
00:36:02,920 --> 00:36:08,759
Speaker 9: be leaked, who do you like who is responsible? Like

733
00:36:09,239 --> 00:36:12,359
Speaker 9: who should take legal responsibility in that instance? And like

734
00:36:12,480 --> 00:36:15,400
Speaker 9: what safeguards are you building to try and deal with

735
00:36:15,440 --> 00:36:18,400
Speaker 9: the fact that this is going to happen. And the

736
00:36:18,440 --> 00:36:20,640
Speaker 9: first answer he gave is that we're talking about it

737
00:36:20,640 --> 00:36:24,160
Speaker 9: with open AI, which which I viewed as a non answer.

738
00:36:24,200 --> 00:36:26,239
Speaker 9: So I came up to him after the panel and

739
00:36:26,320 --> 00:36:28,640
Speaker 9: kind of corning up a little bit and asked, like,

740
00:36:28,680 --> 00:36:30,920
Speaker 9: you have to have more You're the CMO. Yeah right,

741
00:36:30,960 --> 00:36:33,920
Speaker 9: you're like the chief marketing officer of this entire company.

742
00:36:34,560 --> 00:36:38,120
Speaker 9: Security is a pretty big marketing huge standpoint, right, Like

743
00:36:38,200 --> 00:36:41,439
Speaker 9: I would think you would know something about this, And

744
00:36:41,920 --> 00:36:43,680
Speaker 9: he eventually got angry at me and said, like, I

745
00:36:43,680 --> 00:36:45,920
Speaker 9: don't have any of that information. That's not my job

746
00:36:45,960 --> 00:36:48,440
Speaker 9: basically to care about this sort of thing. I've got

747
00:36:48,680 --> 00:36:51,040
Speaker 9: a recording of it we'll play at some point, but

748
00:36:51,400 --> 00:36:53,840
Speaker 9: that that's literally all that I got from him, was like,

749
00:36:54,200 --> 00:36:56,279
Speaker 9: we're talking about it with open AI, And I don't

750
00:36:56,320 --> 00:36:58,319
Speaker 9: really know A.

751
00:36:58,600 --> 00:37:01,399
Speaker 5: Browsers right, because yeah, hair browsers doing the same thing.

752
00:37:01,880 --> 00:37:05,000
Speaker 5: They're so so, so so vulnerable to the prompt jack.

753
00:37:05,640 --> 00:37:07,719
Speaker 2: I really like that. Also, they trying to pretend A

754
00:37:07,800 --> 00:37:09,640
Speaker 2: eyebrowsers are useful. They're not.

755
00:37:09,880 --> 00:37:13,600
Speaker 5: I tested five of them. Me, I had to test

756
00:37:13,680 --> 00:37:16,760
Speaker 5: five fucking AI browsers. All I wanted was the pair

757
00:37:16,800 --> 00:37:20,000
Speaker 5: of fucking new balances, and it couldn't get me. I

758
00:37:20,000 --> 00:37:21,600
Speaker 5: had to get my mother in law to get me

759
00:37:21,640 --> 00:37:23,719
Speaker 5: the new balances, Like what are you doing?

760
00:37:23,760 --> 00:37:26,080
Speaker 3: So what are you doing on the AI browser? Try

761
00:37:26,120 --> 00:37:27,520
Speaker 3: to get the new.

762
00:37:27,280 --> 00:37:30,439
Speaker 5: So you know, they're like gent like AI. You can

763
00:37:30,800 --> 00:37:34,120
Speaker 5: ask it to find you the fucking new balances or whatnot,

764
00:37:34,160 --> 00:37:36,880
Speaker 5: and it's supposed to help you research this stuff. And

765
00:37:37,040 --> 00:37:41,719
Speaker 5: all these tech CEOs are like, well, the future of

766
00:37:41,760 --> 00:37:44,400
Speaker 5: computing is that you will not do anything on the computer.

767
00:37:44,480 --> 00:37:46,640
Speaker 5: You'll talk to It's kind of like Her, the movie Her,

768
00:37:46,719 --> 00:37:48,520
Speaker 5: where you just talk to the computer and it goes

769
00:37:49,600 --> 00:37:51,960
Speaker 5: here you go. So all I wanted was a pair

770
00:37:51,960 --> 00:37:55,759
Speaker 5: of fucking new balances. But I take my shoes very seriously, right,

771
00:37:56,520 --> 00:37:58,360
Speaker 5: and I'm like, Okay, I want a pair of new balances?

772
00:37:58,400 --> 00:38:01,200
Speaker 5: What these are the prep like the parameters that I want?

773
00:38:01,200 --> 00:38:02,840
Speaker 5: How am I going to get them? And my query

774
00:38:02,960 --> 00:38:05,120
Speaker 5: kept getting longer and longer and longer and longer and

775
00:38:05,160 --> 00:38:07,960
Speaker 5: longer because they can't into it things. So I was like,

776
00:38:08,239 --> 00:38:10,040
Speaker 5: my foot size is this, This is the stuff that

777
00:38:10,080 --> 00:38:11,879
Speaker 5: I have to deal with. This is the color I want,

778
00:38:11,960 --> 00:38:13,680
Speaker 5: this is the style that I want. These are the

779
00:38:13,719 --> 00:38:15,600
Speaker 5: scenarios that I want to wear them, and these are

780
00:38:15,600 --> 00:38:17,360
Speaker 5: the prices that I want to have. So it's like

781
00:38:17,400 --> 00:38:20,239
Speaker 5: a fucking three paragraph prompt that I have to give,

782
00:38:20,239 --> 00:38:23,040
Speaker 5: and I'm asking all five of these different stupid AI

783
00:38:23,160 --> 00:38:27,200
Speaker 5: browsers to just get me a pair of goddamn new balances,

784
00:38:27,920 --> 00:38:31,040
Speaker 5: and it's just like that, I can't do it.

785
00:38:31,120 --> 00:38:34,359
Speaker 2: Oh So I like browsing the Internet, not as much

786
00:38:34,360 --> 00:38:36,279
Speaker 2: as I used to due to all the obstacles, but

787
00:38:36,560 --> 00:38:38,960
Speaker 2: looking for a pair of shoes, looking for something in

788
00:38:39,000 --> 00:38:41,160
Speaker 2: a store, that's kind of you know, you fuck around,

789
00:38:41,160 --> 00:38:42,760
Speaker 2: you learn some stuff. It's kind of fun.

790
00:38:42,960 --> 00:38:46,120
Speaker 5: Like, yeah, no, I did ruin once again, cursed tech beat.

791
00:38:46,320 --> 00:38:49,239
Speaker 5: I did ruin my mental health just trying to bigger.

792
00:38:49,000 --> 00:38:51,560
Speaker 2: Pair by three hundred word essay.

793
00:38:51,800 --> 00:38:54,840
Speaker 6: Yeah, I mean the part of The enjoyment of purchasing

794
00:38:54,880 --> 00:38:57,040
Speaker 6: something is to know that you got the thing that

795
00:38:57,080 --> 00:38:59,799
Speaker 6: you want. You put the work in, you found the

796
00:39:00,120 --> 00:39:01,680
Speaker 6: like I'm trying to I've been trying to buy the

797
00:39:01,719 --> 00:39:05,239
Speaker 6: perfect set of towels for a little while and I'm

798
00:39:05,360 --> 00:39:06,879
Speaker 6: and I was like, I was like, no, I don't

799
00:39:06,880 --> 00:39:09,919
Speaker 6: want to get the Onsen towels that like the fake

800
00:39:10,000 --> 00:39:12,799
Speaker 6: Japanese towels. I want to find some real Japanese towel.

801
00:39:12,800 --> 00:39:14,640
Speaker 6: And so I found out about like a variety of

802
00:39:14,719 --> 00:39:16,960
Speaker 6: towel that's like only made in one town in Japan,

803
00:39:17,280 --> 00:39:19,640
Speaker 6: trying to find the right vendor. And I know when

804
00:39:19,640 --> 00:39:21,360
Speaker 6: I get the towels, I'm going to be like these,

805
00:39:21,719 --> 00:39:24,040
Speaker 6: I went through something to get these right. And that's

806
00:39:24,040 --> 00:39:26,040
Speaker 6: how people you want to feel about your new balances.

807
00:39:26,719 --> 00:39:27,840
Speaker 3: These are so good.

808
00:39:28,000 --> 00:39:30,040
Speaker 6: You want to I got the ones I put a

809
00:39:30,040 --> 00:39:32,279
Speaker 6: little bit of sweat equity in. You want to be

810
00:39:32,360 --> 00:39:35,320
Speaker 6: like I got some shoes. The computer bought me some shoes.

811
00:39:35,719 --> 00:39:38,640
Speaker 5: Also, the computer doesn't listen. I said, I already have

812
00:39:38,800 --> 00:39:42,319
Speaker 5: the perfect running shoe, right, I thought I found that

813
00:39:42,560 --> 00:39:47,160
Speaker 5: I was stylistic. I want walking shoes. And what did

814
00:39:47,200 --> 00:39:50,600
Speaker 5: it do? It gave me the fucking running shoes over

815
00:39:50,680 --> 00:39:52,680
Speaker 5: and over and over again. I said I didn't want

816
00:39:52,760 --> 00:39:55,320
Speaker 5: the running shoes. I wanted the walking shoes.

817
00:39:55,880 --> 00:39:56,120
Speaker 3: Right.

818
00:39:56,960 --> 00:39:58,640
Speaker 2: This is kind of like every one of these AI

819
00:39:58,719 --> 00:40:00,560
Speaker 2: browsers I've read about. It's kind of the same things.

820
00:40:00,600 --> 00:40:03,279
Speaker 2: Like imagine, if you will, you're seeing that you want

821
00:40:03,280 --> 00:40:05,360
Speaker 2: to buy something, and there's just no way to do that.

822
00:40:05,440 --> 00:40:10,200
Speaker 2: It's just like an alien, an alien that's never used anything. Yeah,

823
00:40:10,200 --> 00:40:12,279
Speaker 2: how do we do anything? Oh, I'll type in and

824
00:40:12,640 --> 00:40:16,239
Speaker 2: it's like, yeah, off the three minutes, it might do something. Right. Yeah,

825
00:40:16,239 --> 00:40:17,480
Speaker 2: It's like fucking yeah.

826
00:40:17,520 --> 00:40:20,680
Speaker 9: That's the that's the frust That's the frustrating thing about

827
00:40:20,880 --> 00:40:23,360
Speaker 9: sitting in all of these panels in particular, is that

828
00:40:23,400 --> 00:40:26,000
Speaker 9: it's like entering this alternate world where all of the

829
00:40:26,040 --> 00:40:29,879
Speaker 9: technology works much better than it does, and people talk

830
00:40:29,920 --> 00:40:33,440
Speaker 9: about it as if like, yeah, we deployed fifteen hundred agents,

831
00:40:33,560 --> 00:40:35,440
Speaker 9: right that are you know, they're doing great work, And

832
00:40:35,480 --> 00:40:37,520
Speaker 9: it's like, okay, but I'm looking at, for example, the

833
00:40:37,560 --> 00:40:40,880
Speaker 9: statistics that Copilot released last year that about so or

834
00:40:40,880 --> 00:40:43,520
Speaker 9: that were released about Copile last year that about seventy

835
00:40:43,520 --> 00:40:47,240
Speaker 9: percent of work tasks that it's tasked with, it fails

836
00:40:47,280 --> 00:40:49,919
Speaker 9: at y right, because the agents are not functional yet.

837
00:40:50,000 --> 00:40:53,160
Speaker 5: So I you know, I'm trying to tell Atlas chatgbt's

838
00:40:53,200 --> 00:40:56,399
Speaker 5: thing to buy me these fucking new balances, and it's

839
00:40:56,480 --> 00:40:59,239
Speaker 5: just like, oh, crap, there's a pop up. Let me

840
00:40:59,320 --> 00:41:02,400
Speaker 5: try and close this pop up. Oh that didn't close

841
00:41:02,400 --> 00:41:06,000
Speaker 5: the pop up. Let me click more precisely at the

842
00:41:06,040 --> 00:41:09,560
Speaker 5: coordinates and it's listing the coordinates on the site. Let

843
00:41:09,600 --> 00:41:11,400
Speaker 5: me try and close the pop It took.

844
00:41:11,239 --> 00:41:12,760
Speaker 2: Just gas fumes.

845
00:41:12,880 --> 00:41:15,920
Speaker 5: It took five I'm watching it. It took five attempts

846
00:41:15,920 --> 00:41:18,600
Speaker 5: for the AI to close the pop up a minute

847
00:41:18,640 --> 00:41:21,759
Speaker 5: and thirty seconds. I'm just watching it, and I'm just like,

848
00:41:21,920 --> 00:41:23,000
Speaker 5: Jesus fucking crazy.

849
00:41:23,400 --> 00:41:23,680
Speaker 2: Close.

850
00:41:24,400 --> 00:41:25,919
Speaker 3: It's narrating as it's doing.

851
00:41:26,160 --> 00:41:29,279
Speaker 5: Yeah, yeah, yeah, it narrates. It goes just like, let

852
00:41:29,360 --> 00:41:31,160
Speaker 5: me think about the best way that I can close

853
00:41:31,200 --> 00:41:33,680
Speaker 5: this pop up. It didn't seem like I clicked hard enough.

854
00:41:33,760 --> 00:41:37,439
Speaker 5: Let me look at the coordinates and click more precisely. Well,

855
00:41:37,440 --> 00:41:38,080
Speaker 5: that didn't order.

856
00:41:38,239 --> 00:41:38,480
Speaker 7: I know.

857
00:41:38,600 --> 00:41:40,960
Speaker 2: The compute on that is also bonkers.

858
00:41:41,000 --> 00:41:43,920
Speaker 5: You know that they boiled oceans to watch and AI

859
00:41:44,040 --> 00:41:46,200
Speaker 5: struggle to close pop ups minute and.

860
00:41:46,719 --> 00:41:49,560
Speaker 2: Seconds giraffes from the back of a truck into a

861
00:41:49,680 --> 00:41:52,680
Speaker 2: furnace to make this like a guest turbine in a

862
00:41:52,760 --> 00:41:57,279
Speaker 2: poor community in Texas. Yeah, many people got cancer and

863
00:41:57,320 --> 00:41:58,680
Speaker 2: you didn't get the shoes you wanted.

864
00:41:58,880 --> 00:42:02,520
Speaker 9: Yeah, And it's in between panels. A friend of mine

865
00:42:02,560 --> 00:42:04,520
Speaker 9: back and Iportant sent me a video that's some guy

866
00:42:04,600 --> 00:42:07,680
Speaker 9: I think in Tennessee recorded of like the sound of

867
00:42:07,760 --> 00:42:10,040
Speaker 9: the data center that went up near its house. That's

868
00:42:10,160 --> 00:42:12,719
Speaker 9: like this, I mean for months has just been this

869
00:42:12,840 --> 00:42:16,920
Speaker 9: like constant like droning beep noise thing, like like it

870
00:42:17,040 --> 00:42:20,240
Speaker 9: just sounds awful. And so I'm I'm going in between

871
00:42:20,280 --> 00:42:24,240
Speaker 9: these people talking about like you know and really focusing

872
00:42:24,280 --> 00:42:27,600
Speaker 9: on how like AI's going to augment human capability and

873
00:42:28,040 --> 00:42:30,960
Speaker 9: you know, these agents are are only getting more capable,

874
00:42:31,000 --> 00:42:33,640
Speaker 9: and like we're going to be using this to like

875
00:42:33,760 --> 00:42:36,120
Speaker 9: really set human creativity on fire. And then I'm like

876
00:42:36,120 --> 00:42:38,160
Speaker 9: watching a video where a guy's like, yeah, now it

877
00:42:38,320 --> 00:42:44,359
Speaker 9: screams every day, the internet screams every day outside my house. Yeah,

878
00:42:44,400 --> 00:42:46,279
Speaker 9: And I'm looking at the statistics that show that like

879
00:42:46,320 --> 00:42:48,680
Speaker 9: none of this stuff works as well as these people

880
00:42:48,800 --> 00:42:51,000
Speaker 9: are are saying it does, right, like not to the

881
00:42:51,120 --> 00:42:53,720
Speaker 9: extent that like I would want it doing a job

882
00:42:53,800 --> 00:42:59,759
Speaker 9: that really matters, and I'm just so like in between that.

883
00:43:00,080 --> 00:43:01,680
Speaker 9: The other thing that I read while I was going

884
00:43:01,719 --> 00:43:04,480
Speaker 9: in between sessions was an article that came out today

885
00:43:04,600 --> 00:43:08,800
Speaker 9: about a patent Sony filed last year to basically create

886
00:43:09,040 --> 00:43:11,880
Speaker 9: use an AI agent to play video games for you

887
00:43:11,920 --> 00:43:14,439
Speaker 9: when you're trying to do something hard if you can't

888
00:43:14,680 --> 00:43:15,320
Speaker 9: beat a boss.

889
00:43:16,120 --> 00:43:17,440
Speaker 5: Did you see Razor stuff?

890
00:43:17,840 --> 00:43:20,160
Speaker 9: Yeah, well, and that's the other crazy I haven't seen

891
00:43:20,200 --> 00:43:22,160
Speaker 9: the booth yet though, but you want to talk about that.

892
00:43:22,200 --> 00:43:23,040
Speaker 1: I saw that.

893
00:43:23,160 --> 00:43:26,480
Speaker 5: I was in that really sweaty Venetian suite where they

894
00:43:26,520 --> 00:43:28,680
Speaker 5: were giving the preview of the role a.

895
00:43:29,640 --> 00:43:30,600
Speaker 2: You know, it's so crazy.

896
00:43:30,880 --> 00:43:31,440
Speaker 9: Oh my god.

897
00:43:32,440 --> 00:43:35,680
Speaker 5: So they had two crazy AI concepts. First, this Project EVA,

898
00:43:35,800 --> 00:43:38,880
Speaker 5: and the only way you can describe it is a

899
00:43:38,920 --> 00:43:42,960
Speaker 5: little anime wife, the wife Tube. It's the wife Tube.

900
00:43:43,000 --> 00:43:46,400
Speaker 5: It's a little desktop wife tube where the holographic anime

901
00:43:46,480 --> 00:43:49,160
Speaker 5: wife who named Kia, and like there's a camera in

902
00:43:49,200 --> 00:43:51,160
Speaker 5: the thing and so she's watching it and she's gone,

903
00:43:51,200 --> 00:43:54,960
Speaker 5: like and it's based on grox Annie if you oh god, yeah,

904
00:43:56,360 --> 00:43:59,080
Speaker 5: they did tell they did tell us like specifically that

905
00:43:59,120 --> 00:44:00,720
Speaker 5: it was based on And I'm.

906
00:44:00,520 --> 00:44:02,440
Speaker 2: Like, oh, did you ask if it was based on

907
00:44:02,480 --> 00:44:03,000
Speaker 2: an adult.

908
00:44:03,680 --> 00:44:06,319
Speaker 9: Well, I'll tell you what it's based on. Visually, if

909
00:44:06,360 --> 00:44:08,840
Speaker 9: you ever watched the show Archer, there's like, yeah, creepy

910
00:44:08,880 --> 00:44:15,240
Speaker 9: Sid has the Waifu hologround looks identical smaller.

911
00:44:15,800 --> 00:44:19,839
Speaker 5: I was there with my colleague Antonio, who Tania, Oh god,

912
00:44:19,880 --> 00:44:22,680
Speaker 5: sorry Antonio, because he does listen to your podcast, Antonio

913
00:44:22,719 --> 00:44:25,759
Speaker 5: di Benedetto and he's our laptop reviewer. And so they're like,

914
00:44:25,840 --> 00:44:29,879
Speaker 5: you know, Kira can help you when you're playing your game,

915
00:44:29,960 --> 00:44:33,200
Speaker 5: and so he's playing like this a first person shooter

916
00:44:33,400 --> 00:44:36,600
Speaker 5: but it's just like a it's like not an actual level,

917
00:44:36,640 --> 00:44:40,000
Speaker 5: so you can't die in this section. And she's like, oh,

918
00:44:40,239 --> 00:44:42,160
Speaker 5: this is the gun you're holding is not the correct gun,

919
00:44:42,400 --> 00:44:44,560
Speaker 5: and it's like, oh, you died and he didn't die.

920
00:44:44,800 --> 00:44:49,600
Speaker 5: And then they like programmed, they programmed like, oh, so

921
00:44:49,680 --> 00:44:53,040
Speaker 5: did you see anything really cool at cees and like

922
00:44:53,120 --> 00:44:56,160
Speaker 5: this is how she talks because it's based on and

923
00:44:56,600 --> 00:44:59,799
Speaker 5: he's like no, and she's like, oh that's cool. And

924
00:45:00,520 --> 00:45:04,160
Speaker 5: but so you can have different like avatars doesn't have

925
00:45:04,160 --> 00:45:06,000
Speaker 5: to be an AI wife who you can also have

926
00:45:06,160 --> 00:45:10,480
Speaker 5: Zane the AI husbando and he has like nake tattoos

927
00:45:10,520 --> 00:45:15,440
Speaker 5: on there and it goes like, hang.

928
00:45:15,280 --> 00:45:17,439
Speaker 2: On, I'm stuck. I need to ask the wife tube again.

929
00:45:18,520 --> 00:45:20,560
Speaker 5: But like that's the whole point of games is that

930
00:45:20,600 --> 00:45:24,279
Speaker 5: you're strugged, is that you're playing, that you're using the

931
00:45:24,360 --> 00:45:26,480
Speaker 5: problem solving and all that, and it's just like, no,

932
00:45:26,600 --> 00:45:29,400
Speaker 5: tell me how to beat this level. And all the

933
00:45:29,440 --> 00:45:31,880
Speaker 5: time I talk to these companies and they're like, yeah.

934
00:45:31,920 --> 00:45:36,240
Speaker 10: You're going to be able to yeah, because they're training

935
00:45:36,239 --> 00:45:38,400
Speaker 10: it off of like YouTube videos of people playing the

936
00:45:38,480 --> 00:45:40,799
Speaker 10: game too, which I also I just don't know if

937
00:45:40,800 --> 00:45:41,920
Speaker 10: I believe it's going to work well.

938
00:45:41,960 --> 00:45:45,160
Speaker 9: It is a pattern, so maybe Sony doesn't either, Like they.

939
00:45:45,080 --> 00:45:48,480
Speaker 6: Are they showing the AI just like the video frames,

940
00:45:48,520 --> 00:45:49,560
Speaker 6: like the literal.

941
00:45:49,400 --> 00:45:52,759
Speaker 9: The YouTube video from the patent from what I haven't

942
00:45:52,760 --> 00:45:55,120
Speaker 9: read the patent. I read an article about the patent application.

943
00:45:55,280 --> 00:45:56,160
Speaker 9: That's what it sounds like.

944
00:45:56,239 --> 00:45:59,839
Speaker 6: You could you could program an old fashioned AI, what

945
00:45:59,840 --> 00:46:02,200
Speaker 6: we used to call AI in video games, just like

946
00:46:02,280 --> 00:46:03,120
Speaker 6: you know and n PC.

947
00:46:03,480 --> 00:46:06,000
Speaker 3: You could just when you're making a video game, you

948
00:46:06,080 --> 00:46:08,360
Speaker 3: have the world state, you know, how the game works.

949
00:46:08,400 --> 00:46:11,560
Speaker 6: You could just like have something in the game. I think, yeah, exactly,

950
00:46:11,560 --> 00:46:15,160
Speaker 6: that like is part of the game. It's an artificial world.

951
00:46:15,200 --> 00:46:17,080
Speaker 3: Why do you need to insult a game?

952
00:46:17,080 --> 00:46:20,440
Speaker 9: I think this is like Aana.

953
00:46:20,960 --> 00:46:23,560
Speaker 5: It didn't ask if we should actually fucking make Krtana.

954
00:46:24,480 --> 00:46:27,000
Speaker 5: Losers just played Halo way too when they were in

955
00:46:27,040 --> 00:46:27,959
Speaker 5: their formative years.

956
00:46:28,040 --> 00:46:31,279
Speaker 6: Yes, I think a big mistake that they're making, or

957
00:46:31,360 --> 00:46:37,480
Speaker 6: just which one. Well, look, there's such a big difference

958
00:46:37,680 --> 00:46:42,520
Speaker 6: between a tool that extends or enhances human capability makes

959
00:46:42,560 --> 00:46:46,400
Speaker 6: you more powerful, and you not doing it yourself and

960
00:46:46,440 --> 00:46:49,360
Speaker 6: having someone else do it for you. I literally, just

961
00:46:49,400 --> 00:46:51,719
Speaker 6: for the first time, hired an assistant because I the

962
00:46:52,200 --> 00:46:54,040
Speaker 6: perfect person who I knew would do is such a

963
00:46:54,040 --> 00:46:56,239
Speaker 6: great job for me, is available for a couple of months.

964
00:46:56,280 --> 00:47:00,360
Speaker 6: So it's great you correspond with she's amazing, right, But

965
00:47:00,560 --> 00:47:02,360
Speaker 6: like it's because I have worked with her before in

966
00:47:02,360 --> 00:47:04,920
Speaker 6: a different capacity. I know she's amazing. I like trust

967
00:47:04,920 --> 00:47:06,919
Speaker 6: her to do all these various things that I don't

968
00:47:06,960 --> 00:47:12,160
Speaker 6: have to do myself anymore. But the moment that, like

969
00:47:12,360 --> 00:47:14,440
Speaker 6: I work with someone who fucks something up, I'm like, well,

970
00:47:14,440 --> 00:47:16,359
Speaker 6: I can never work with the contract. I'm not going

971
00:47:16,400 --> 00:47:19,000
Speaker 6: to assign things to them. And like versus, when I

972
00:47:19,040 --> 00:47:21,480
Speaker 6: fuck something up with a tool that I'm using myself,

973
00:47:21,560 --> 00:47:23,080
Speaker 6: I'm like, Okay, I need to do a little bit

974
00:47:23,080 --> 00:47:26,839
Speaker 6: better or whatever. Like the experience of those things is

975
00:47:26,880 --> 00:47:29,760
Speaker 6: so fundamentally different. The use cases for them is different,

976
00:47:30,000 --> 00:47:32,480
Speaker 6: the sort of person who wants to do them is different.

977
00:47:33,000 --> 00:47:35,960
Speaker 6: And so like, I don't know, like for into it

978
00:47:36,080 --> 00:47:38,800
Speaker 6: to be a company that goes from you know, here's

979
00:47:38,920 --> 00:47:41,879
Speaker 6: tax software that helps you do your own taxes if

980
00:47:41,880 --> 00:47:48,000
Speaker 6: you would really like to do that, and yes, but

981
00:47:48,200 --> 00:47:51,200
Speaker 6: like to go from that to now we will automatic

982
00:47:51,280 --> 00:47:55,240
Speaker 6: will be an automatic accountant. Is like they don't understand

983
00:47:55,239 --> 00:47:56,600
Speaker 6: the gulf that they're trying to jump.

984
00:47:56,640 --> 00:47:58,960
Speaker 2: Now, well, it's because they misunderstand. It's kind of the

985
00:47:59,080 --> 00:48:02,320
Speaker 2: ongoing thing of See, it's like people that don't experience

986
00:48:02,360 --> 00:48:04,960
Speaker 2: the problems they're trying to fix. Because the best assistant,

987
00:48:04,960 --> 00:48:07,239
Speaker 2: to your point is someone that you kind of hand

988
00:48:07,280 --> 00:48:10,160
Speaker 2: stuff up, like my written edits to Matt Hughes. The

989
00:48:10,200 --> 00:48:13,120
Speaker 2: whole reason Matt works well with me is he can anticipate,

990
00:48:13,280 --> 00:48:15,439
Speaker 2: like he kind of gets my thing and he knows yeah,

991
00:48:15,440 --> 00:48:17,279
Speaker 2: and I can trust him to get it without me

992
00:48:17,320 --> 00:48:19,279
Speaker 2: having to I don't know, give a three hundred word

993
00:48:19,360 --> 00:48:23,600
Speaker 2: prompt to explain every nuance because so much.

994
00:48:23,440 --> 00:48:25,920
Speaker 5: Handholding and I don't want to hand hold an assistant.

995
00:48:25,960 --> 00:48:27,560
Speaker 5: That's the whole fucking the whole point.

996
00:48:27,760 --> 00:48:32,160
Speaker 9: Yeah, it's handholding. And it's also like picking having an

997
00:48:32,160 --> 00:48:35,120
Speaker 9: assistant to do the things you wouldn't have an assistant do,

998
00:48:35,440 --> 00:48:38,880
Speaker 9: like I don't play a video game for you. Yeah,

999
00:48:39,040 --> 00:48:42,799
Speaker 9: but there's so much of it is focused on, like

1000
00:48:42,920 --> 00:48:48,200
Speaker 9: the the tasks that are deeply human. Like whenever I

1001
00:48:48,280 --> 00:48:51,279
Speaker 9: hear like this AI can help you brainstorm, it's like, well, no,

1002
00:48:51,360 --> 00:48:54,319
Speaker 9: it can't. That's not how brainstorming works. Someone else can't

1003
00:48:54,360 --> 00:48:55,319
Speaker 9: brainstorm for you.

1004
00:48:55,440 --> 00:48:56,480
Speaker 1: That's not You're.

1005
00:48:56,360 --> 00:48:58,880
Speaker 5: Just talking to yourself in the mirror. But the mirror

1006
00:48:58,920 --> 00:48:59,480
Speaker 5: is a chapla.

1007
00:48:59,719 --> 00:49:02,360
Speaker 9: Yeah, and you were hoping to plagiarize a good idea

1008
00:49:02,440 --> 00:49:05,279
Speaker 9: from the chatbot that itself is built from plagiarism, which

1009
00:49:05,320 --> 00:49:06,840
Speaker 9: I also feel like is a mistake.

1010
00:49:08,040 --> 00:49:11,920
Speaker 2: But regurgitating thought into your own brain and the hopes

1011
00:49:11,920 --> 00:49:13,040
Speaker 2: and new idea comes out.

1012
00:49:13,440 --> 00:49:16,680
Speaker 6: Yeah, I mean, like I've talked about this before, my

1013
00:49:17,280 --> 00:49:19,839
Speaker 6: most positive experience with chat GPT was I was trying

1014
00:49:19,840 --> 00:49:24,000
Speaker 6: to decide whether to get myself a little apartment in

1015
00:49:24,040 --> 00:49:25,799
Speaker 6: New York and I'll talk to you about this, yeah, right,

1016
00:49:26,040 --> 00:49:28,239
Speaker 6: whether it's a good financial decision, and I plug into

1017
00:49:28,280 --> 00:49:30,680
Speaker 6: chat GPT. Hey, here's all the numbers, and like, is

1018
00:49:30,680 --> 00:49:31,200
Speaker 6: this a good thing?

1019
00:49:31,920 --> 00:49:32,120
Speaker 3: You know?

1020
00:49:32,160 --> 00:49:34,200
Speaker 6: Would this be a big mistake? And it sort of goes, no,

1021
00:49:34,280 --> 00:49:35,880
Speaker 6: it wouldn't be a big mistake. You could do that.

1022
00:49:35,920 --> 00:49:37,200
Speaker 6: If you want it, you can do it. And then

1023
00:49:37,200 --> 00:49:38,880
Speaker 6: I'm like, okay, but what about the fact that I

1024
00:49:38,920 --> 00:49:41,120
Speaker 6: can't sublet it? Oh, that means it's bad.

1025
00:49:41,200 --> 00:49:42,200
Speaker 3: Now you shouldn't do it.

1026
00:49:42,239 --> 00:49:42,839
Speaker 9: Now you're fine.

1027
00:49:42,880 --> 00:49:44,480
Speaker 6: Oh, but what about the fact that it's kind of

1028
00:49:44,480 --> 00:49:46,239
Speaker 6: important to me. Well, if it's really important to you,

1029
00:49:46,239 --> 00:49:49,200
Speaker 6: you should do it. And I did actually find that clarifying,

1030
00:49:49,400 --> 00:49:50,960
Speaker 6: like it did help me think through it all.

1031
00:49:51,000 --> 00:49:53,000
Speaker 2: But just agreed with your lost statement.

1032
00:49:53,840 --> 00:49:55,360
Speaker 3: I was talking to myself in the mirror.

1033
00:49:55,640 --> 00:49:58,319
Speaker 5: The only that's the most useful it is it's like

1034
00:49:58,400 --> 00:50:02,200
Speaker 5: you need to talk out loud to yourself, to myself,

1035
00:50:02,400 --> 00:50:04,719
Speaker 5: you can, But sometimes I can do that to you people.

1036
00:50:04,880 --> 00:50:07,400
Speaker 6: If you answer all my texts for some reason, because

1037
00:50:07,640 --> 00:50:08,480
Speaker 6: my friend.

1038
00:50:08,160 --> 00:50:10,359
Speaker 2: And I love you, like that's why I do it,

1039
00:50:10,760 --> 00:50:13,440
Speaker 2: because I care about you and want you to be happy.

1040
00:50:13,640 --> 00:50:14,560
Speaker 2: And the chat ball.

1041
00:50:14,440 --> 00:50:16,640
Speaker 5: Doesn't can't, No, the chatbot doesn't care.

1042
00:50:16,880 --> 00:50:20,239
Speaker 2: I actually wonder if my latent like actual autism is

1043
00:50:20,280 --> 00:50:22,560
Speaker 2: mounting myself on the show. Like, that's why it doesn't work,

1044
00:50:22,600 --> 00:50:24,759
Speaker 2: because when every time I've tried anything like this and

1045
00:50:24,880 --> 00:50:27,000
Speaker 2: just like just talk it to my fucking self, Why

1046
00:50:27,000 --> 00:50:28,160
Speaker 2: are you agreeing with me on everything?

1047
00:50:28,719 --> 00:50:31,200
Speaker 5: But I mean like that's because that's you, like to

1048
00:50:31,239 --> 00:50:33,640
Speaker 5: be real, that's I know. I'm talking to myself on

1049
00:50:33,719 --> 00:50:35,720
Speaker 5: that too. It's just like it just doesn't work.

1050
00:50:35,840 --> 00:50:37,799
Speaker 2: Like I literally have tried to do the things. I'm

1051
00:50:37,840 --> 00:50:41,000
Speaker 2: just like, no, just like there's a blog. I'm just

1052
00:50:41,000 --> 00:50:42,959
Speaker 2: like it's just repeating more just faking said.

1053
00:50:43,080 --> 00:50:45,320
Speaker 5: Yeah. No, you're like you have to know the artifice

1054
00:50:45,360 --> 00:50:47,319
Speaker 5: in order to get to a point where you're like,

1055
00:50:47,440 --> 00:50:49,600
Speaker 5: if you understand that you're talking to yourself, you're just

1056
00:50:49,640 --> 00:50:53,360
Speaker 5: thinking aloud in a different format, it can be helpful

1057
00:50:53,760 --> 00:50:56,799
Speaker 5: if you understand that that's what you're doing. People don't

1058
00:50:56,880 --> 00:50:58,960
Speaker 5: understand that's what they're doing. That's why they're getting the

1059
00:50:58,960 --> 00:51:03,759
Speaker 5: AI psychosis. Yeah, they're mistaking this for a friend. It's

1060
00:51:03,840 --> 00:51:05,120
Speaker 5: not a friend, it's literally a person.

1061
00:51:06,320 --> 00:51:10,080
Speaker 9: Yeah. I will say one thing that was interesting to me.

1062
00:51:10,239 --> 00:51:12,640
Speaker 9: I did a panel that was Intelligence through Motion AI

1063
00:51:12,680 --> 00:51:15,320
Speaker 9: takes physical form, and it was about like robots, robots

1064
00:51:15,320 --> 00:51:19,080
Speaker 9: with AI in them. It was actually the better one

1065
00:51:19,120 --> 00:51:21,480
Speaker 9: of the day. There was not much that was silly,

1066
00:51:21,560 --> 00:51:23,680
Speaker 9: and it was I think it was a really good

1067
00:51:23,680 --> 00:51:27,319
Speaker 9: example of like how you ought to be responsibly talking

1068
00:51:27,320 --> 00:51:29,800
Speaker 9: about and thinking about products like this. So one of

1069
00:51:29,800 --> 00:51:32,239
Speaker 9: the people who was there was Andrea Thomas, who's the

1070
00:51:32,239 --> 00:51:36,160
Speaker 9: co founder and CEO of Diligent Robotics, and they've built

1071
00:51:36,200 --> 00:51:39,040
Speaker 9: a robot that is basically an assistant for doctors and

1072
00:51:39,160 --> 00:51:42,680
Speaker 9: nurses at the hospital, not doing medical stuff. But like,

1073
00:51:42,719 --> 00:51:44,440
Speaker 9: the thing that she pointed out is when we because

1074
00:51:44,600 --> 00:51:46,520
Speaker 9: we started and this was the first thing they liked.

1075
00:51:47,080 --> 00:51:49,800
Speaker 9: We started not with a product idea, but by talking

1076
00:51:49,800 --> 00:51:51,960
Speaker 9: to a bunch of doctors and nurses and figuring out, like,

1077
00:51:52,040 --> 00:51:53,880
Speaker 9: what are the different jobs you have. And one of

1078
00:51:53,880 --> 00:51:56,640
Speaker 9: the things they figured out is that nurses in particular,

1079
00:51:56,680 --> 00:52:00,479
Speaker 9: spend a shitload of time every day running stuff back

1080
00:52:00,520 --> 00:52:02,879
Speaker 9: and forth through the hospital, and so like, well, if

1081
00:52:02,880 --> 00:52:05,359
Speaker 9: we have a robot that can move things and can

1082
00:52:05,400 --> 00:52:08,600
Speaker 9: potentially move refrigerated things or move things that you have

1083
00:52:08,640 --> 00:52:11,960
Speaker 9: to be very careful when carrying, then a skilled, trained

1084
00:52:12,000 --> 00:52:14,600
Speaker 9: human being isn't doing that bullshit work and they can

1085
00:52:14,680 --> 00:52:18,000
Speaker 9: do more medical work. And there's not enough medical profession

1086
00:52:18,040 --> 00:52:21,279
Speaker 9: that's effectively a convey about right right, which that's more

1087
00:52:21,320 --> 00:52:22,920
Speaker 9: maneuverable than a conveyor because it can go.

1088
00:52:22,960 --> 00:52:25,359
Speaker 2: But the point is like it's useful because it's moving

1089
00:52:25,360 --> 00:52:27,320
Speaker 2: stuff between places, right right.

1090
00:52:27,400 --> 00:52:30,319
Speaker 9: And I believe there was some talk about other like

1091
00:52:30,320 --> 00:52:32,560
Speaker 9: they're looking at adding other capabilities, but the way that

1092
00:52:32,600 --> 00:52:34,319
Speaker 9: they were thinking about it were, well, first, we're going

1093
00:52:34,360 --> 00:52:36,960
Speaker 9: to talk to the people who we want to we

1094
00:52:37,000 --> 00:52:40,240
Speaker 9: want to be making products that will be used in hospitals.

1095
00:52:40,280 --> 00:52:41,960
Speaker 9: Let's talk to people who work in hospitals to see

1096
00:52:41,960 --> 00:52:45,600
Speaker 9: where it's useful. And then the other thing that they

1097
00:52:45,640 --> 00:52:47,760
Speaker 9: said during that this was something a couple other people

1098
00:52:47,880 --> 00:52:50,560
Speaker 9: pointed out, is that you have to when you're talking

1099
00:52:50,600 --> 00:52:54,040
Speaker 9: about building products that human beings will be working alongside

1100
00:52:54,160 --> 00:52:57,960
Speaker 9: in an industrial capacity, you have to assume that there

1101
00:52:58,000 --> 00:53:01,520
Speaker 9: will be failures and build that in because otherwise you're

1102
00:53:01,600 --> 00:53:04,000
Speaker 9: taking risks with people's lives. Right, So you have to

1103
00:53:04,000 --> 00:53:06,799
Speaker 9: be figuring out, we want this thing to fail when

1104
00:53:06,880 --> 00:53:08,840
Speaker 9: it does, because it will in a way that doesn't

1105
00:53:08,920 --> 00:53:11,040
Speaker 9: endanger human beings. How do we build that in from

1106
00:53:11,080 --> 00:53:13,560
Speaker 9: the ground up. This is like a fundamental assumption it

1107
00:53:13,600 --> 00:53:15,480
Speaker 9: will fail. We need to make sure it fails in

1108
00:53:15,480 --> 00:53:17,160
Speaker 9: a way that does not lead to it crushing or

1109
00:53:17,239 --> 00:53:20,000
Speaker 9: killing people because it's going to be around them, And

1110
00:53:20,080 --> 00:53:21,880
Speaker 9: so I really appreciate it. And it was such a

1111
00:53:22,160 --> 00:53:26,759
Speaker 9: that was such a gap to me from how everyone else.

1112
00:53:27,320 --> 00:53:30,239
Speaker 9: I'm used to other people talking about this a lot more.

1113
00:53:30,040 --> 00:53:33,560
Speaker 5: In the health techomy, right, yeah, because the stakes are

1114
00:53:33,600 --> 00:53:35,919
Speaker 5: so high. Yeah, you know, like all the tech people

1115
00:53:35,960 --> 00:53:40,840
Speaker 5: are like break shit, disrupt, but like medicine is like, no, no,

1116
00:53:40,960 --> 00:53:42,000
Speaker 5: don't break the people.

1117
00:53:42,400 --> 00:53:43,680
Speaker 9: Something's already broken.

1118
00:53:43,880 --> 00:53:45,400
Speaker 5: They're broken already.

1119
00:53:45,520 --> 00:53:45,759
Speaker 9: Yeah.

1120
00:53:47,080 --> 00:53:49,279
Speaker 2: Yeah, I think one of the barriers to that though,

1121
00:53:49,280 --> 00:53:50,960
Speaker 2: And this is not even me being cynical. It is

1122
00:53:51,040 --> 00:53:53,359
Speaker 2: just you ask people what the problems are and then

1123
00:53:53,360 --> 00:53:55,480
Speaker 2: you go, oh, you're an LM. Can't do that sorry.

1124
00:53:55,520 --> 00:53:57,759
Speaker 2: Like the answer is the problems that you have are

1125
00:53:57,800 --> 00:54:01,480
Speaker 2: not fixable with the technology we have NAT like housing

1126
00:54:01,640 --> 00:54:04,600
Speaker 2: and health like health stuff. It's like there are very

1127
00:54:04,600 --> 00:54:08,400
Speaker 2: big limitations because of medical device clearance. But also just well.

1128
00:54:08,280 --> 00:54:11,279
Speaker 5: Technology is streamlining, right, like if you think about the

1129
00:54:11,719 --> 00:54:14,360
Speaker 5: like I just remember this from a macro acinemic class

1130
00:54:15,239 --> 00:54:18,359
Speaker 5: in college. But like all technology does is it moves

1131
00:54:18,360 --> 00:54:21,520
Speaker 5: the curve up. It doesn't. It doesn't like change the

1132
00:54:21,560 --> 00:54:23,560
Speaker 5: angle of the curve or whatnot. It just you know,

1133
00:54:24,120 --> 00:54:27,359
Speaker 5: allows you to do more. So it's about streamlining things.

1134
00:54:27,400 --> 00:54:31,000
Speaker 5: It's not about fixing problems. It's about finding things that

1135
00:54:31,080 --> 00:54:34,240
Speaker 5: you could do more efficiently. Being more efficient doesn't fix

1136
00:54:34,320 --> 00:54:38,840
Speaker 5: the problem, right, different, it's two different streams that you're approaching,

1137
00:54:39,080 --> 00:54:41,440
Speaker 5: but they're conflating it by being like, if you're efficient,

1138
00:54:41,480 --> 00:54:45,000
Speaker 5: you fix the problems. Like, no, the problem isn't always efficiency.

1139
00:54:45,239 --> 00:54:47,480
Speaker 6: Yeah, and you know, I mean the thing I think

1140
00:54:47,520 --> 00:54:50,680
Speaker 6: about a lot is what I'm in any city, but

1141
00:54:50,800 --> 00:54:52,879
Speaker 6: especially New York or LA where I spend a lot

1142
00:54:52,880 --> 00:54:55,719
Speaker 6: of time. It's like the physical infrastructure is so bad.

1143
00:54:55,719 --> 00:54:58,640
Speaker 6: But everybody has cell phones right, right, Like no one's

1144
00:54:58,680 --> 00:55:01,319
Speaker 6: even like oh, homeless people have We know, everybody has

1145
00:55:01,360 --> 00:55:03,440
Speaker 6: cell phones, like because the price of them is so

1146
00:55:03,560 --> 00:55:05,839
Speaker 6: cheap and and you can do a lot with them.

1147
00:55:05,840 --> 00:55:08,839
Speaker 6: But like there's potholes, the trains don't run right, and

1148
00:55:08,920 --> 00:55:13,240
Speaker 6: like those are the problems in society, and the fact

1149
00:55:13,280 --> 00:55:16,960
Speaker 6: that we have you know, high technology in these particular

1150
00:55:17,040 --> 00:55:19,400
Speaker 6: areas but not in like the rest of our society

1151
00:55:19,480 --> 00:55:21,480
Speaker 6: is like a weird distortion. We all know this. We

1152
00:55:21,520 --> 00:55:24,000
Speaker 6: don't think about it often enough. But like what you're

1153
00:55:24,080 --> 00:55:27,960
Speaker 6: talking about is is this AI will like push that

1154
00:55:28,040 --> 00:55:32,200
Speaker 6: distortion even further. Yeah, in the best case scenario and

1155
00:55:32,280 --> 00:55:34,960
Speaker 6: people like you know, Simon Wilson or whatever will have

1156
00:55:35,080 --> 00:55:38,360
Speaker 6: like some crazy agentic shit happening. You know, like they'll

1157
00:55:38,440 --> 00:55:42,160
Speaker 6: they'll be you know, in some fucking matrix and everybody

1158
00:55:42,160 --> 00:55:45,000
Speaker 6: else will be like, how do I buy food?

1159
00:55:45,360 --> 00:55:48,640
Speaker 2: Someone Willisson be trying to draw a Pelican on a bicycle.

1160
00:55:48,640 --> 00:55:50,839
Speaker 2: I think that's the one thing that's literally the test

1161
00:55:50,920 --> 00:55:53,120
Speaker 2: thrones on every LM. But yeah, Willison is kind of

1162
00:55:53,120 --> 00:55:55,680
Speaker 2: realistic about and yeah, yeah, to your point, Robert, with

1163
00:55:55,680 --> 00:55:59,560
Speaker 2: that panel, it's like, yeah, we're talking about this fantasy land.

1164
00:55:59,600 --> 00:56:02,120
Speaker 2: But even when we so during the Nvidia conference, it

1165
00:56:02,200 --> 00:56:04,239
Speaker 2: was talking about yeah, and now agents are getting even

1166
00:56:04,239 --> 00:56:05,200
Speaker 2: more powerful in doing this.

1167
00:56:05,719 --> 00:56:07,480
Speaker 3: They're not well yeah, no they're not.

1168
00:56:07,560 --> 00:56:10,359
Speaker 2: But also gun to your head, explain what that means, like,

1169
00:56:10,440 --> 00:56:13,640
Speaker 2: because I regularly am arguing with people about this online

1170
00:56:13,680 --> 00:56:14,600
Speaker 2: perpetual that.

1171
00:56:14,640 --> 00:56:16,920
Speaker 5: Was they're talking about the agents and the consumerism and

1172
00:56:16,960 --> 00:56:19,960
Speaker 5: the commerce aspect of agents just because that's the only

1173
00:56:20,040 --> 00:56:22,320
Speaker 5: way they have a chance of making them.

1174
00:56:22,840 --> 00:56:25,560
Speaker 9: Such a lack of specificity, like that is the thing

1175
00:56:25,600 --> 00:56:28,720
Speaker 9: that is most like in like the first three panels

1176
00:56:28,719 --> 00:56:30,360
Speaker 9: I did, all of which were one way or the

1177
00:56:30,400 --> 00:56:32,640
Speaker 9: other talking about like agents and their ability to like

1178
00:56:32,719 --> 00:56:36,680
Speaker 9: improve productivity and creativity. There was an exam exactly one

1179
00:56:36,760 --> 00:56:40,920
Speaker 9: specific example of a thing that people used AI, like

1180
00:56:40,960 --> 00:56:44,279
Speaker 9: that a marketing or company used AI to do for marketing, right,

1181
00:56:44,280 --> 00:56:47,440
Speaker 9: because these were all fairly marketing focused, and it was

1182
00:56:47,920 --> 00:56:51,040
Speaker 9: specifically it was the company that makes Allegra had like

1183
00:56:51,040 --> 00:56:54,200
Speaker 9: a new non drowsy formula, and they engaged in what

1184
00:56:54,400 --> 00:56:57,200
Speaker 9: the the I think it was a deloittte I forget,

1185
00:56:57,200 --> 00:56:59,280
Speaker 9: I forget who who said this, it's in my notes,

1186
00:56:59,719 --> 00:57:02,080
Speaker 9: but what the person who was talking about it described

1187
00:57:02,120 --> 00:57:06,000
Speaker 9: as model hacking to basically put out a bunch of

1188
00:57:06,040 --> 00:57:11,960
Speaker 9: content so that chetch ept would repeatedly scrape articles or

1189
00:57:12,040 --> 00:57:14,920
Speaker 9: whatnot that talked about how Allegra was non drowsy, so

1190
00:57:14,920 --> 00:57:18,439
Speaker 9: that if people asked questions about it, the LLLM would

1191
00:57:18,440 --> 00:57:21,880
Speaker 9: return both always would say l Allegra is non drowsy,

1192
00:57:21,960 --> 00:57:24,640
Speaker 9: would like put that before the word Allegra, and would

1193
00:57:24,720 --> 00:57:29,600
Speaker 9: like subtly talk about other allergy medicines causing drowsiness. And

1194
00:57:29,640 --> 00:57:31,360
Speaker 9: they were talking about like and that's like a really

1195
00:57:31,400 --> 00:57:34,640
Speaker 9: great example like the this is like a strategy developed

1196
00:57:34,720 --> 00:57:38,240
Speaker 9: using AI that like, uh is not what we couldn't

1197
00:57:38,280 --> 00:57:40,640
Speaker 9: have done marketing like this before. It couldn't possibly have

1198
00:57:40,680 --> 00:57:43,360
Speaker 9: come up with a way to reverse. Yeah, first off,

1199
00:57:43,400 --> 00:57:46,720
Speaker 9: like you're you're the most specific example of the use

1200
00:57:46,760 --> 00:57:51,280
Speaker 9: of this technology in advertising is disinformation. Yeah right, basically

1201
00:57:51,920 --> 00:57:56,440
Speaker 9: you know, or at least that yeah, on that spectrum.

1202
00:57:55,800 --> 00:57:59,440
Speaker 4: And that probably costs thousands of dogs, Like probably so

1203
00:58:00,120 --> 00:58:03,960
Speaker 4: thousands of articles or whatever just fed into the training

1204
00:58:04,400 --> 00:58:05,560
Speaker 4: Jesus fucking Christ.

1205
00:58:05,800 --> 00:58:08,720
Speaker 9: Well, and at the same time, they're talking about how

1206
00:58:08,760 --> 00:58:11,400
Speaker 9: important trust is and that like you have to be

1207
00:58:11,520 --> 00:58:14,360
Speaker 9: you have to keep and there's yeah as they lie

1208
00:58:14,360 --> 00:58:16,280
Speaker 9: and they're like, well, you know, people only trust you,

1209
00:58:16,400 --> 00:58:18,760
Speaker 9: will only trust your AI as much as they trust

1210
00:58:18,760 --> 00:58:20,960
Speaker 9: your company, So it's really about like having a good

1211
00:58:21,000 --> 00:58:23,040
Speaker 9: bread so the other way round.

1212
00:58:23,280 --> 00:58:24,480
Speaker 2: Well, that's what kind.

1213
00:58:24,320 --> 00:58:26,200
Speaker 9: Of what I took it as them saying is that like, look,

1214
00:58:26,560 --> 00:58:29,320
Speaker 9: people don't trust AI, but they still have some trust

1215
00:58:29,360 --> 00:58:32,120
Speaker 9: for specific brands. So if you really want to, like

1216
00:58:32,400 --> 00:58:35,160
Speaker 9: there's a limited period of time for.

1217
00:58:34,720 --> 00:58:36,280
Speaker 1: For that trust to stay alive.

1218
00:58:36,360 --> 00:58:38,520
Speaker 2: It feels like blow it up.

1219
00:58:38,720 --> 00:58:42,560
Speaker 5: Yeah, that's honest to god, makes the show more boring.

1220
00:58:42,960 --> 00:58:46,200
Speaker 9: Yeah, it really, it's all fucking AI ship.

1221
00:58:46,440 --> 00:58:46,760
Speaker 8: Yeah.

1222
00:58:46,800 --> 00:58:49,240
Speaker 6: Like the stuff I was popping for was there was

1223
00:58:49,280 --> 00:58:51,520
Speaker 6: a robot lawnmower that could go up a hill.

1224
00:58:51,640 --> 00:58:52,200
Speaker 2: Yeah, see that.

1225
00:58:52,640 --> 00:58:57,160
Speaker 5: All the robots are getting GEN again. Look like Gen's coverage.

1226
00:58:57,160 --> 00:59:00,400
Speaker 5: It's just about how last year the robots had arms,

1227
00:59:00,440 --> 00:59:03,480
Speaker 5: This year the robots have legs.

1228
00:59:03,800 --> 00:59:05,120
Speaker 2: Next year, big old Willie.

1229
00:59:05,880 --> 00:59:06,800
Speaker 3: There was also a.

1230
00:59:07,320 --> 00:59:09,480
Speaker 6: There was we were I was talking about the jerk

1231
00:59:09,520 --> 00:59:12,920
Speaker 6: off robot last time. But first I saw there was

1232
00:59:12,920 --> 00:59:14,880
Speaker 6: a robot called beat Bot, and it said.

1233
00:59:14,880 --> 00:59:15,960
Speaker 9: That was like a masturbation.

1234
00:59:16,800 --> 00:59:19,320
Speaker 6: That wasn't It was that nothing beats beat bot, and

1235
00:59:19,360 --> 00:59:20,440
Speaker 6: I was like, this is a masturbation.

1236
00:59:20,920 --> 00:59:21,080
Speaker 3: Great.

1237
00:59:21,480 --> 00:59:23,680
Speaker 6: It turns out it's a little robot that swims in

1238
00:59:23,720 --> 00:59:26,080
Speaker 6: your pool and cleans your pool. And I think maybe

1239
00:59:26,080 --> 00:59:28,120
Speaker 6: it's also the Bluetooth speaker, and I was like, it's

1240
00:59:28,160 --> 00:59:28,760
Speaker 6: like a pool room.

1241
00:59:28,760 --> 00:59:32,080
Speaker 9: But also you didn't if you were going to if

1242
00:59:32,120 --> 00:59:35,600
Speaker 9: there's any good call for a hybridized robot, a combination

1243
00:59:35,760 --> 00:59:39,480
Speaker 9: pool robot or gas and robot, like make the sexy

1244
00:59:39,560 --> 00:59:44,400
Speaker 9: pool boy a robot.

1245
00:59:43,800 --> 00:59:48,320
Speaker 2: And it's just doing that weird song from you remember

1246
00:59:48,360 --> 00:59:50,560
Speaker 2: that one. Yeah, there was the offbeat song the guy

1247
00:59:50,640 --> 00:59:52,760
Speaker 2: was claiming he would only have sex to No. No

1248
00:59:53,040 --> 00:59:54,919
Speaker 2: one remembers that. No, just oh god.

1249
00:59:57,040 --> 00:59:59,640
Speaker 9: Yeah, you can market it to Richmond with like wives

1250
00:59:59,640 --> 01:00:01,560
Speaker 9: in their tow twenties where you're like, look, your wife

1251
01:00:01,600 --> 01:00:03,600
Speaker 9: is going to cheat on you with the cabana boy.

1252
01:00:03,920 --> 01:00:08,320
Speaker 9: Just make sure it's a robot cabana book.

1253
01:00:08,640 --> 01:00:10,360
Speaker 1: What you look depressed?

1254
01:00:10,360 --> 01:00:13,440
Speaker 9: Honey? Do you need some time with the cabana bot?

1255
01:00:13,480 --> 01:00:14,080
Speaker 2: On new music?

1256
01:00:14,520 --> 01:00:17,360
Speaker 6: Genuinely the best, one of the best use cases for

1257
01:00:17,520 --> 01:00:19,400
Speaker 6: generative AI has sex stuff like it.

1258
01:00:19,680 --> 01:00:21,480
Speaker 9: It's certainly one of the most.

1259
01:00:21,360 --> 01:00:26,520
Speaker 5: Use Sorry, as someone who was subjected to testing Annie

1260
01:00:26,640 --> 01:00:30,960
Speaker 5: the Grock sexpot, Jesus that was damaging, you might have.

1261
01:00:30,920 --> 01:00:33,840
Speaker 9: A workman's comp Yeah.

1262
01:00:33,000 --> 01:00:35,400
Speaker 5: Listen, I keep asking for hazard pay at the Verge

1263
01:00:35,480 --> 01:00:38,440
Speaker 5: dot com and for my title to change to Senior

1264
01:00:38,480 --> 01:00:42,080
Speaker 5: Curse tech Reviewer. It's not happened yet. It's not happened yet.

1265
01:00:42,240 --> 01:00:45,000
Speaker 5: But I did have to test Annie, and boy did she.

1266
01:00:45,840 --> 01:00:50,520
Speaker 6: Yeah noticed, Like the only people who are really making

1267
01:00:50,600 --> 01:00:54,560
Speaker 6: good use of like Sora style videos are niche fetish

1268
01:00:54,600 --> 01:00:57,720
Speaker 6: communities on the Internet who have been able to move

1269
01:00:57,760 --> 01:01:00,640
Speaker 6: from writing fan fiction for each other because that's a

1270
01:01:00,720 --> 01:01:03,520
Speaker 6: cheap thing where they can, you know, have make media

1271
01:01:03,560 --> 01:01:06,240
Speaker 6: for each other. Now they can make little videos they're

1272
01:01:06,440 --> 01:01:08,680
Speaker 6: making and they're so happy there.

1273
01:01:09,400 --> 01:01:12,240
Speaker 5: Okay, but AI doesn't know how to animate tongues. And

1274
01:01:12,280 --> 01:01:14,760
Speaker 5: I know this because again my job is cursed, and

1275
01:01:14,840 --> 01:01:18,720
Speaker 5: I had to I had to test these AI video

1276
01:01:19,000 --> 01:01:27,000
Speaker 5: generating more men kissing, making the AI kiss each other. No,

1277
01:01:27,040 --> 01:01:30,160
Speaker 5: they don't, they don't. They don't understand how tongues work.

1278
01:01:30,240 --> 01:01:33,200
Speaker 2: It's just a little Jensen Wong said that the new

1279
01:01:33,320 --> 01:01:39,000
Speaker 2: generation Vera Ruben is four times more powerful for training.

1280
01:01:39,440 --> 01:01:42,640
Speaker 2: So maybe that's the Jensen Huang's bring the tongues in.

1281
01:01:43,080 --> 01:01:45,480
Speaker 2: But sadly we are go, we're gonna have to end

1282
01:01:45,480 --> 01:01:47,840
Speaker 2: this thirty second. The next thing coming up is an

1283
01:01:47,840 --> 01:01:50,720
Speaker 2: ad for a tongue training models. And if you hear

1284
01:01:50,800 --> 01:01:54,120
Speaker 2: something else that's an error. Whatever it is, just ignore

1285
01:01:54,160 --> 01:01:56,520
Speaker 2: it because we're meant to. It's the tongue training app.

1286
01:01:57,160 --> 01:01:59,040
Speaker 2: But before we get to the tongue training app, Robert

1287
01:01:59,080 --> 01:01:59,920
Speaker 2: has a very important man.

1288
01:02:00,520 --> 01:02:02,840
Speaker 9: So I came across the booth during the brief time

1289
01:02:02,880 --> 01:02:05,480
Speaker 9: I spent on the floor today of a robotics company

1290
01:02:05,520 --> 01:02:07,840
Speaker 9: called Zeroith, which I think is a reference to the

1291
01:02:07,920 --> 01:02:10,680
Speaker 9: laws of robotics, and you know, you had the normal

1292
01:02:10,760 --> 01:02:13,120
Speaker 9: laws and there was the zero with law, YadA, YadA, YadA. Anyway,

1293
01:02:13,120 --> 01:02:14,960
Speaker 9: we don't need to get into Asimov right now, but

1294
01:02:15,000 --> 01:02:17,160
Speaker 9: it's they had a whole booklet. I actually thought these

1295
01:02:17,160 --> 01:02:19,280
Speaker 9: were like notebooks at first, but every page of this

1296
01:02:19,320 --> 01:02:23,000
Speaker 9: is printed, explaining the vision for their company and the

1297
01:02:23,080 --> 01:02:26,400
Speaker 9: robots they make. The origin story. I'm just going to

1298
01:02:26,480 --> 01:02:30,080
Speaker 9: read a little bit from here, Okay. The prevailing narrative

1299
01:02:30,080 --> 01:02:32,600
Speaker 9: in robotics has long been one of replacement and utility,

1300
01:02:32,720 --> 01:02:35,560
Speaker 9: Robots as instruments of precision, built for efficiency and stripped

1301
01:02:35,560 --> 01:02:39,040
Speaker 9: of warmth. Yet from across the long memory of civilization,

1302
01:02:39,160 --> 01:02:41,880
Speaker 9: the impulse to create was never merely mechanical. From yan

1303
01:02:41,960 --> 01:02:45,120
Speaker 9: Shies graceful wooden automaton and ancient China to Tallos, the

1304
01:02:45,120 --> 01:02:48,200
Speaker 9: bronze guardian of crete, our earliest machines were not tools.

1305
01:02:48,240 --> 01:02:51,800
Speaker 9: There were mirrors, reflections of an ancient longing too, with

1306
01:02:51,840 --> 01:02:55,520
Speaker 9: the reflections of an ancient longing to understand ourselves. Zero

1307
01:02:55,640 --> 01:03:00,840
Speaker 9: withth emerges from that unbroken thread of imagination and hearing that,

1308
01:03:00,960 --> 01:03:03,160
Speaker 9: and there's so much more flowery pros. I need you

1309
01:03:03,200 --> 01:03:05,000
Speaker 9: all to see. The robot that they wrote that.

1310
01:03:05,120 --> 01:03:11,200
Speaker 2: Okay, let's let's take it.

1311
01:03:12,080 --> 01:03:15,520
Speaker 6: Why is he wearing a little Zo Polo shirt?

1312
01:03:15,760 --> 01:03:17,240
Speaker 1: I love that that's your first question.

1313
01:03:17,600 --> 01:03:20,320
Speaker 9: So listeners at home, what they've got is a robot

1314
01:03:20,360 --> 01:03:23,400
Speaker 9: that looks kind of like a cross between Elon Musk's

1315
01:03:23,400 --> 01:03:27,560
Speaker 9: shitty robot and a guy in a fencing helmet. It

1316
01:03:27,640 --> 01:03:30,040
Speaker 9: can't stand on its own power. They have like a

1317
01:03:30,200 --> 01:03:33,400
Speaker 9: sex harness built that's like standing it up. That's like

1318
01:03:33,960 --> 01:03:37,320
Speaker 9: so it doesn't fall on its ass, and they put

1319
01:03:37,320 --> 01:03:39,600
Speaker 9: an awkward T shirt on it, I think, to hide

1320
01:03:39,640 --> 01:03:40,640
Speaker 9: the straps.

1321
01:03:40,200 --> 01:03:41,800
Speaker 1: From the thing that keeps it standing.

1322
01:03:42,200 --> 01:03:47,360
Speaker 2: Jesus fucking this is the consumer electronic show everyone. This

1323
01:03:47,440 --> 01:03:49,680
Speaker 2: is yeah, they did. They are lying to you. Any

1324
01:03:49,880 --> 01:03:53,000
Speaker 2: motherfucker that tells you that robotics ry is coming, they're

1325
01:03:53,040 --> 01:03:55,440
Speaker 2: fucking lying anyway. If this is an AI add off

1326
01:03:55,440 --> 01:04:10,640
Speaker 2: to this, that's the fucking problem. Diane. I'm once again

1327
01:04:10,680 --> 01:04:13,000
Speaker 2: in scenic Las Vegas, and the locals are staring at

1328
01:04:13,000 --> 01:04:14,760
Speaker 2: me with daggers in their eyes as I insist on

1329
01:04:14,800 --> 01:04:17,840
Speaker 2: podcasting further. After rotating cubes in my head all day,

1330
01:04:17,880 --> 01:04:20,400
Speaker 2: I'm now rotating. My guests joining me once again is

1331
01:04:20,440 --> 01:04:25,360
Speaker 2: victorious song of the Vergine, not remotely. You're wonderful and

1332
01:04:25,400 --> 01:04:27,480
Speaker 2: your very popular listeners love you as well. It's important

1333
01:04:27,480 --> 01:04:28,240
Speaker 2: for you to hear this.

1334
01:04:28,600 --> 01:04:29,400
Speaker 5: Not from my ego.

1335
01:04:30,200 --> 01:04:32,920
Speaker 2: You need the ego. Ed On Guaiso, Junior of the

1336
01:04:32,920 --> 01:04:37,680
Speaker 2: Tech Bubble newsletter and the incredible, wonderful stand up comedian.

1337
01:04:37,760 --> 01:04:40,160
Speaker 2: The start of the movie is this thing on. Chloe

1338
01:04:40,240 --> 01:04:41,440
Speaker 2: Radcliffe is joining us?

1339
01:04:41,520 --> 01:04:43,760
Speaker 1: Yeah, what is hell?

1340
01:04:44,800 --> 01:04:45,880
Speaker 2: Your first ces?

1341
01:04:46,240 --> 01:04:46,680
Speaker 4: Yeah?

1342
01:04:46,960 --> 01:04:47,520
Speaker 2: What do you think?

1343
01:04:47,600 --> 01:04:52,080
Speaker 8: I'm a cees virgin? Wow, there's so many boys.

1344
01:04:53,880 --> 01:04:56,200
Speaker 5: It's crazy boy.

1345
01:04:56,280 --> 01:05:00,120
Speaker 8: No, no, no, no, there's so many hairlines. Is I

1346
01:05:00,120 --> 01:05:05,440
Speaker 8: should stay a lot of balls? Yeah, a lot of combs, Yeah,

1347
01:05:05,480 --> 01:05:08,440
Speaker 8: a lot of a lot of comb comb over ponytails.

1348
01:05:08,760 --> 01:05:10,320
Speaker 2: Offer any hair stuff?

1349
01:05:10,560 --> 01:05:11,160
Speaker 1: Yes they do.

1350
01:05:12,640 --> 01:05:15,360
Speaker 5: Did you go to go to Eureka Park? There's always

1351
01:05:15,360 --> 01:05:19,800
Speaker 5: someone who has like some led hair bands situation and

1352
01:05:19,920 --> 01:05:21,439
Speaker 5: it's yeah that's good.

1353
01:05:21,680 --> 01:05:24,880
Speaker 2: Yeah. So Chloe, you'll first ces. Have you seen anything

1354
01:05:25,360 --> 01:05:26,400
Speaker 2: that's stuck in your brain?

1355
01:05:27,560 --> 01:05:30,640
Speaker 8: My biggest take has so far from being on the

1356
01:05:30,640 --> 01:05:34,320
Speaker 8: floor for a pretty limited amount of time, is that

1357
01:05:34,400 --> 01:05:36,919
Speaker 8: the theme is numbers that you don't need.

1358
01:05:37,360 --> 01:05:38,640
Speaker 2: Okay.

1359
01:05:39,160 --> 01:05:43,480
Speaker 8: I stopped at a booth that had a smart dog cage.

1360
01:05:43,920 --> 01:05:45,080
Speaker 5: Oh, the smart pet crate.

1361
01:05:45,160 --> 01:05:47,880
Speaker 8: Yeah, yeah, smart pet crate and it tells you your

1362
01:05:48,040 --> 01:05:52,640
Speaker 8: dog's It tells you your dog's heart rate and breathing rate,

1363
01:05:52,920 --> 01:05:55,280
Speaker 8: and then it also tells you the distance between the

1364
01:05:55,320 --> 01:05:56,960
Speaker 8: top of the cage and the dog.

1365
01:05:57,120 --> 01:05:59,320
Speaker 5: Welcome to my useless numbers.

1366
01:05:59,480 --> 01:06:02,440
Speaker 8: Uselessnessnumbers, And I said to the guy I was, I like,

1367
01:06:02,440 --> 01:06:04,520
Speaker 8: stopped and was Lena, And I was like, well, why

1368
01:06:04,520 --> 01:06:06,560
Speaker 8: do you need the distance from the top of the

1369
01:06:06,600 --> 01:06:08,960
Speaker 8: cage to the top of the dog? And he goes, well,

1370
01:06:08,960 --> 01:06:11,400
Speaker 8: that's how you know whether the dog is moving or not.

1371
01:06:11,720 --> 01:06:13,840
Speaker 8: And I was like, yeah, but you just look and

1372
01:06:13,880 --> 01:06:15,800
Speaker 8: he goes, well, but you're like looking at your app

1373
01:06:15,840 --> 01:06:17,840
Speaker 8: and so you want to know maybe if the number,

1374
01:06:18,160 --> 01:06:20,080
Speaker 8: if the number has stayed static for a little while,

1375
01:06:20,120 --> 01:06:28,640
Speaker 8: maybe the dog has died. I said yeah, but wouldn't

1376
01:06:28,640 --> 01:06:33,040
Speaker 8: you know that from the other numbers like heart right.

1377
01:06:36,840 --> 01:06:38,800
Speaker 1: To take your dog dead.

1378
01:06:39,360 --> 01:06:42,880
Speaker 5: They're gonna ramp up to four hundred biometrics. That's something.

1379
01:06:44,440 --> 01:06:53,000
Speaker 2: Your dog is Lena Dunham Inde. I love that well

1380
01:06:53,040 --> 01:06:56,400
Speaker 2: because it's like, if the dog's moving, couldn't emotion sense,

1381
01:06:57,600 --> 01:06:58,440
Speaker 2: I mean, there's so.

1382
01:06:58,600 --> 01:07:03,360
Speaker 8: Many things, couldn't We already have pet camps whoever has

1383
01:07:03,480 --> 01:07:04,080
Speaker 8: whoever is.

1384
01:07:04,040 --> 01:07:06,040
Speaker 1: Buying a smart pet crate also.

1385
01:07:05,880 --> 01:07:09,040
Speaker 8: Already has a video camera trained on that dark's crane.

1386
01:07:09,360 --> 01:07:12,680
Speaker 8: That person is not doing smart crate over pet camp and.

1387
01:07:12,600 --> 01:07:14,360
Speaker 11: They're like, hey, can you look at this graft?

1388
01:07:14,400 --> 01:07:19,240
Speaker 5: Do you think I've got I've got two cats and

1389
01:07:19,320 --> 01:07:23,040
Speaker 5: a lot of cat tech. I don't need a crate. No,

1390
01:07:23,880 --> 01:07:26,800
Speaker 5: Like I got auto feeder. It has a little camera.

1391
01:07:27,800 --> 01:07:29,360
Speaker 5: And we did that because when we went to Italy,

1392
01:07:29,440 --> 01:07:30,800
Speaker 5: I was just like, I got to make sure these

1393
01:07:30,960 --> 01:07:34,400
Speaker 5: dumb cats are eating in between pet sitter visits. And

1394
01:07:34,680 --> 01:07:38,000
Speaker 5: literally day one I'm in Italy, I watched my cat

1395
01:07:38,120 --> 01:07:44,560
Speaker 5: look at me through the camera. It's pissed, knock cat rage, and.

1396
01:07:45,360 --> 01:07:48,160
Speaker 8: I do need to ask if the cats were not

1397
01:07:48,240 --> 01:07:51,200
Speaker 8: eating between feed feeders, between pet sitters.

1398
01:07:51,280 --> 01:07:52,720
Speaker 1: Yeah, what were you gonna do for me?

1399
01:07:53,240 --> 01:07:53,600
Speaker 5: Nothing?

1400
01:07:54,040 --> 01:07:54,400
Speaker 1: Nothing.

1401
01:07:54,520 --> 01:07:57,040
Speaker 5: I was gonna call the pet sitter and be crazy

1402
01:07:57,120 --> 01:08:00,720
Speaker 5: lady and be like, my extremely ro ton nineteen point

1403
01:08:00,800 --> 01:08:03,040
Speaker 5: five pound cat is not eating.

1404
01:08:03,360 --> 01:08:06,200
Speaker 8: It's now living off its own body fat and it

1405
01:08:06,240 --> 01:08:09,800
Speaker 8: will be fun. Yeah, and it has enough calories to

1406
01:08:09,800 --> 01:08:12,960
Speaker 8: support it enough. But yeah, So I mean that's the thing.

1407
01:08:13,040 --> 01:08:15,920
Speaker 8: I think that like all of these numbers that my

1408
01:08:16,040 --> 01:08:19,040
Speaker 8: theme of numbers that you don't need. What they wind

1409
01:08:19,120 --> 01:08:22,720
Speaker 8: up filtering into is anxiety. Oh yeah, it's like too

1410
01:08:22,800 --> 01:08:24,960
Speaker 8: much information leads to anxiety.

1411
01:08:24,960 --> 01:08:29,920
Speaker 5: Senior cursed tech reviewer. Because I I'd test wearable. I

1412
01:08:30,000 --> 01:08:33,000
Speaker 5: have useless numbers for humans, yes all the time. Yeah,

1413
01:08:33,040 --> 01:08:37,280
Speaker 5: and just I'm completely overwhelmed and over inundated, and yeah,

1414
01:08:37,680 --> 01:08:38,719
Speaker 5: it's very accurate.

1415
01:08:38,800 --> 01:08:41,960
Speaker 8: It would drive me insane all of the sleep tech

1416
01:08:42,360 --> 01:08:44,560
Speaker 8: I'm The thing is that I'm like sort of the

1417
01:08:44,600 --> 01:08:47,719
Speaker 8: wrong person to be here because I'm like, stay away

1418
01:08:47,760 --> 01:08:51,120
Speaker 8: from me with your with your numbers and your vibrations.

1419
01:08:51,400 --> 01:08:53,640
Speaker 2: Having you here is good. We need that kind of

1420
01:08:53,720 --> 01:08:56,360
Speaker 2: energy because there's too many perverts here. Like, actually, we

1421
01:08:56,400 --> 01:08:59,280
Speaker 2: need enough number so we know how the space between

1422
01:08:59,320 --> 01:09:01,439
Speaker 2: your dog and the seeing the crate, but what if

1423
01:09:01,439 --> 01:09:02,639
Speaker 2: about what about the sides?

1424
01:09:03,160 --> 01:09:04,559
Speaker 1: Yeah, how are they going to get that?

1425
01:09:05,000 --> 01:09:06,760
Speaker 2: And also just I love the idea of getting a

1426
01:09:06,800 --> 01:09:09,960
Speaker 2: notification about what does notification say your dog is this tall?

1427
01:09:11,120 --> 01:09:12,160
Speaker 2: We've measured your dog.

1428
01:09:12,400 --> 01:09:15,679
Speaker 5: Like the smart little robots they're now having like cameras

1429
01:09:15,680 --> 01:09:18,479
Speaker 5: so you can watch your cat go into the little

1430
01:09:18,640 --> 01:09:19,719
Speaker 5: robot to piss.

1431
01:09:20,080 --> 01:09:24,759
Speaker 8: Wow, they already, they say, already weigh the cats as well,

1432
01:09:24,880 --> 01:09:27,320
Speaker 8: so you can see how much my like I can.

1433
01:09:27,560 --> 01:09:29,640
Speaker 5: I can literally look into an app and go like,

1434
01:09:29,720 --> 01:09:32,720
Speaker 5: oh you lost zero point five pounds on that douchie,

1435
01:09:32,840 --> 01:09:36,120
Speaker 5: good for you.

1436
01:09:36,160 --> 01:09:36,960
Speaker 1: What do you mean eating?

1437
01:09:37,000 --> 01:09:37,240
Speaker 6: Brother?

1438
01:09:38,320 --> 01:09:38,559
Speaker 1: Brother?

1439
01:09:39,560 --> 01:09:41,599
Speaker 2: The only exception is is if I have a cat

1440
01:09:41,600 --> 01:09:45,920
Speaker 2: with a urinary thing, how my beautiful, big, beautiful and annoying,

1441
01:09:45,960 --> 01:09:48,519
Speaker 2: just like daddy. But he is this beautiful cat who

1442
01:09:48,760 --> 01:09:51,320
Speaker 2: he occasionally has pe problems. But you can mostly just

1443
01:09:51,439 --> 01:09:53,880
Speaker 2: get that by looking at your cat like you're just

1444
01:09:53,960 --> 01:09:56,680
Speaker 2: checking occasionally be like, oh, okay, he hasn't paid in

1445
01:09:56,680 --> 01:09:59,200
Speaker 2: a while. I don't need a four hundred and fifty

1446
01:09:59,240 --> 01:10:02,200
Speaker 2: dollars WiFi connected thing to be like, are you sure?

1447
01:10:03,360 --> 01:10:04,559
Speaker 2: I think that's how much they know?

1448
01:10:05,439 --> 01:10:07,160
Speaker 5: They're like eight hundred dollars.

1449
01:10:07,680 --> 01:10:10,200
Speaker 8: Fuck off, Sorry not to you, but the cat thing, Yeah,

1450
01:10:11,080 --> 01:10:12,439
Speaker 8: how much do you love your cat?

1451
01:10:12,760 --> 01:10:16,920
Speaker 2: I love my cat so much. But a beautiful ARMANI suit.

1452
01:10:16,960 --> 01:10:21,080
Speaker 2: I assume god he'd look fetching. He's a big, big,

1453
01:10:21,160 --> 01:10:24,720
Speaker 2: white and ginger cat. Oh my god. No, I did

1454
01:10:24,800 --> 01:10:26,240
Speaker 2: get him a bow tie at one point.

1455
01:10:27,960 --> 01:10:30,680
Speaker 11: Off, Oh I hear it. Yeah, I used to get

1456
01:10:30,720 --> 01:10:31,160
Speaker 11: my cats.

1457
01:10:31,439 --> 01:10:33,320
Speaker 12: I had the both ties with bells so I could

1458
01:10:33,360 --> 01:10:35,439
Speaker 12: hear them because they would disappear into yeah, I didn't

1459
01:10:35,439 --> 01:10:37,360
Speaker 12: know where in the house, and they always would rip

1460
01:10:37,400 --> 01:10:40,439
Speaker 12: them off and leave them yeah outside.

1461
01:10:40,000 --> 01:10:42,439
Speaker 2: Like a real fuck you, like just like that's where

1462
01:10:42,439 --> 01:10:46,320
Speaker 2: that ship goes, right, don't don't put bells on me. Yeah.

1463
01:10:46,840 --> 01:10:49,000
Speaker 2: I put a little cats on, a little tie on

1464
01:10:49,080 --> 01:10:50,920
Speaker 2: him as well. Once. There's so many good things you

1465
01:10:50,920 --> 01:10:52,600
Speaker 2: can do with the cat, none of which involve an

1466
01:10:52,600 --> 01:10:55,160
Speaker 2: eight hundred and fifty dollars piss measurer.

1467
01:10:56,240 --> 01:10:59,799
Speaker 1: One time I tied a balloon around a tortoise. Didn't

1468
01:11:00,320 --> 01:11:02,720
Speaker 1: why because we kept losing it.

1469
01:11:02,760 --> 01:11:06,320
Speaker 8: I lived and it kept getting stuck under the radiator,

1470
01:11:06,800 --> 01:11:08,519
Speaker 8: but then we wouldn't find it for a couple of days.

1471
01:11:08,640 --> 01:11:12,320
Speaker 1: She was fine, but kept was just smoking around the

1472
01:11:12,280 --> 01:11:13,519
Speaker 1: apoblem with the ball.

1473
01:11:15,360 --> 01:11:16,479
Speaker 2: Told version of up.

1474
01:11:16,880 --> 01:11:19,600
Speaker 1: Yeah, she was trying to get taken away.

1475
01:11:19,840 --> 01:11:22,879
Speaker 5: That should be at the but at the consumer electronic

1476
01:11:22,880 --> 01:11:25,920
Speaker 5: show would probably be like a wearable tortoise tracker with.

1477
01:11:27,600 --> 01:11:30,360
Speaker 8: No no, you can steal a balloon, you can ruin

1478
01:11:30,439 --> 01:11:32,120
Speaker 8: a kid's day to get your tortoise found.

1479
01:11:32,240 --> 01:11:34,360
Speaker 5: They would have like an optical tracker to read the

1480
01:11:34,360 --> 01:11:37,479
Speaker 5: tortoises temperature and it's art right, so you go to

1481
01:11:37,560 --> 01:11:39,880
Speaker 5: her app and be like, is my reptile alive?

1482
01:11:40,600 --> 01:11:42,759
Speaker 2: Is what happened to you? It's just a tool slowly

1483
01:11:42,840 --> 01:11:46,880
Speaker 2: walking ye seven hundred dollars.

1484
01:11:47,240 --> 01:11:50,120
Speaker 12: There's this video from an account I followed because of

1485
01:11:50,160 --> 01:11:52,040
Speaker 12: this video where they have a tortoise and they have

1486
01:11:52,040 --> 01:11:55,839
Speaker 12: a cat and the tortoise has a skateboard to follow

1487
01:11:55,880 --> 01:11:59,040
Speaker 12: the cat around all day and harassium, that's the tech

1488
01:11:59,080 --> 01:11:59,479
Speaker 12: I would get.

1489
01:11:59,600 --> 01:12:01,960
Speaker 11: That's, you know, a little skateboard for my little guys.

1490
01:12:02,000 --> 01:12:03,439
Speaker 1: You know, someday we're all gonna go.

1491
01:12:03,400 --> 01:12:09,760
Speaker 2: Back, so is cats and skateboards. That's the real technology.

1492
01:12:10,200 --> 01:12:12,719
Speaker 2: Did you get any other numbers that didn't that don't

1493
01:12:12,760 --> 01:12:13,920
Speaker 2: match or make you upset?

1494
01:12:14,760 --> 01:12:16,679
Speaker 1: There was a there was a sleep bot.

1495
01:12:17,000 --> 01:12:17,280
Speaker 2: Nice.

1496
01:12:17,400 --> 01:12:18,880
Speaker 1: I think I'm calling it the right thing.

1497
01:12:18,920 --> 01:12:25,000
Speaker 8: It's a it's a smart pillow, okay, and uh it

1498
01:12:25,120 --> 01:12:27,759
Speaker 8: seems like the actually useful thing is that it's filled

1499
01:12:27,760 --> 01:12:30,960
Speaker 8: with these little like pneumatic air sacks that inflate or

1500
01:12:30,960 --> 01:12:35,400
Speaker 8: deflate based on your snoring to stop you from and.

1501
01:12:35,320 --> 01:12:38,440
Speaker 5: That that beds. Yeah, okay, that seems.

1502
01:12:38,160 --> 01:12:39,040
Speaker 1: Right, like I can buy that.

1503
01:12:39,120 --> 01:12:42,280
Speaker 8: It's like that that that passes the sniff test. But

1504
01:12:42,479 --> 01:12:45,680
Speaker 8: this pillow also when you're When it senses your head

1505
01:12:45,720 --> 01:12:49,240
Speaker 8: is on the pillow, it turns off your lights, It

1506
01:12:49,320 --> 01:12:53,160
Speaker 8: turns off your uh speaker if you have a speaker plane,

1507
01:12:53,400 --> 01:12:55,880
Speaker 8: it closes your curtains for you automatically, and then it

1508
01:12:56,760 --> 01:12:59,640
Speaker 8: this is not a lie, texts your family that you

1509
01:12:59,680 --> 01:13:00,559
Speaker 8: are asleep.

1510
01:13:02,479 --> 01:13:04,800
Speaker 1: And I took pictures.

1511
01:13:04,080 --> 01:13:08,960
Speaker 2: Of pillow for a prison you know, I'm.

1512
01:13:08,840 --> 01:13:11,200
Speaker 1: Going to close. I'm reading.

1513
01:13:11,280 --> 01:13:13,680
Speaker 8: I'm reading the example text that it has sending a

1514
01:13:13,720 --> 01:13:19,880
Speaker 8: message to the family. Cassie Oscar has been detected lying down. Wow,

1515
01:13:22,960 --> 01:13:26,240
Speaker 8: Jimmy Oscar has been detected, lying down.

1516
01:13:28,280 --> 01:13:30,040
Speaker 1: I am I am not making this up.

1517
01:13:30,479 --> 01:13:35,800
Speaker 8: Doctor Larry Calibracy, Oscar has been detected lying down.

1518
01:13:38,240 --> 01:13:42,080
Speaker 2: Text he has this is this is a prison pillow.

1519
01:13:42,280 --> 01:13:43,920
Speaker 1: Yeah, this is just for what you do.

1520
01:13:43,960 --> 01:13:45,479
Speaker 11: If you got that text, I.

1521
01:13:46,960 --> 01:13:51,120
Speaker 2: Would be horrified. So funny, I mean everyone, and of

1522
01:13:51,120 --> 01:13:53,080
Speaker 2: course everyone who comes to see yes with me has

1523
01:13:53,120 --> 01:13:55,559
Speaker 2: to use I love the odor as well. That you're

1524
01:13:55,600 --> 01:13:58,160
Speaker 2: just going to bed, your your blind's rope and all

1525
01:13:58,200 --> 01:14:00,160
Speaker 2: of the lights are on you just blaring core when

1526
01:14:00,200 --> 01:14:03,400
Speaker 2: I assume and I have no way of doing any

1527
01:14:03,439 --> 01:14:08,040
Speaker 2: of this myself, So just my pillow will psychopath I know.

1528
01:14:08,080 --> 01:14:10,880
Speaker 5: Sleep tech is all about like optimization. That's why my

1529
01:14:10,920 --> 01:14:14,920
Speaker 5: newsletters called like an optomizer. This whole beat of health

1530
01:14:15,000 --> 01:14:17,080
Speaker 5: tech and all that is just about having the most

1531
01:14:17,120 --> 01:14:21,600
Speaker 5: optimal something right. So they're like, oh, science shows that

1532
01:14:21,640 --> 01:14:24,519
Speaker 5: if you sleep in like X, y Z conditions, you'll

1533
01:14:24,560 --> 01:14:28,559
Speaker 5: sleep so good, So have a pillow, close all of

1534
01:14:28,600 --> 01:14:32,360
Speaker 5: these things so you're in the most optimal sleep environment whatever,

1535
01:14:32,400 --> 01:14:34,559
Speaker 5: and like, yeah, it is good to have an optimal

1536
01:14:34,600 --> 01:14:36,360
Speaker 5: sleep environment. It is good for you to do all

1537
01:14:36,400 --> 01:14:38,880
Speaker 5: that stuff. But you don't need to fucking text your

1538
01:14:38,920 --> 01:14:41,519
Speaker 5: doctor calib races about your sleeping.

1539
01:14:41,640 --> 01:14:44,160
Speaker 2: That would be such a strange text to receive, like

1540
01:14:44,280 --> 01:14:46,639
Speaker 2: he is, and especially with the way it was written,

1541
01:14:46,760 --> 01:14:48,760
Speaker 2: like Galactus.

1542
01:14:49,680 --> 01:14:50,640
Speaker 1: Hated.

1543
01:14:51,560 --> 01:14:57,280
Speaker 8: Also, the smart pillow doesn't like smooth out your bed

1544
01:14:57,280 --> 01:14:59,479
Speaker 8: sheets for you, you know, like all of this stuff

1545
01:14:59,479 --> 01:15:04,960
Speaker 8: that actually make it everything that actually makes sleeping good,

1546
01:15:05,479 --> 01:15:08,080
Speaker 8: which is like wear the right clothes for you to

1547
01:15:08,160 --> 01:15:10,160
Speaker 8: sleep in and.

1548
01:15:10,720 --> 01:15:11,920
Speaker 1: Have the right bed you know.

1549
01:15:11,960 --> 01:15:15,559
Speaker 5: It's like, I've done the digital sh I've done so

1550
01:15:15,760 --> 01:15:19,000
Speaker 5: much sleep tech testing, and the only thing that's really

1551
01:15:19,040 --> 01:15:21,599
Speaker 5: worked for me and my spouse is unfortunately, a five

1552
01:15:21,640 --> 01:15:24,879
Speaker 5: thousand dollars smart mattress cover, which.

1553
01:15:24,720 --> 01:15:29,760
Speaker 2: Is yeah, I burn. I pay for one as well,

1554
01:15:30,400 --> 01:15:32,280
Speaker 2: and like people made fun of it because of the

1555
01:15:32,320 --> 01:15:34,840
Speaker 2: a WS thing when it went down, your bed wouldn't work. Yeah,

1556
01:15:35,400 --> 01:15:37,000
Speaker 2: that happens to me.

1557
01:15:37,280 --> 01:15:39,360
Speaker 5: I think it happened. It definitely happened.

1558
01:15:39,439 --> 01:15:41,880
Speaker 2: Like I need to sleep in an ice coffin, like

1559
01:15:41,960 --> 01:15:45,559
Speaker 2: I just my poor girlfriend, just like even for her,

1560
01:15:46,120 --> 01:15:48,080
Speaker 2: I'm just like, yeah, this is I sleep at fifty

1561
01:15:48,120 --> 01:15:50,240
Speaker 2: degrees like Dracula.

1562
01:15:50,479 --> 01:15:53,280
Speaker 5: It saves marriages and relationships because you could sleep at

1563
01:15:53,280 --> 01:15:55,840
Speaker 5: different temperatures. I need to be a cozy little a

1564
01:15:55,840 --> 01:15:57,519
Speaker 5: cozy little gal normal.

1565
01:15:58,080 --> 01:15:59,680
Speaker 1: Yeah, I need to be a little book bug in

1566
01:15:59,680 --> 01:16:00,000
Speaker 1: a rug.

1567
01:16:00,160 --> 01:16:02,840
Speaker 5: I need to be like toasty. And my spouse also

1568
01:16:02,960 --> 01:16:06,200
Speaker 5: needs to be a corpse so we can set different temperatures.

1569
01:16:06,200 --> 01:16:07,440
Speaker 2: I need to set to Dracula.

1570
01:16:07,600 --> 01:16:10,080
Speaker 5: Yeah. And you know, they snore, and it used to

1571
01:16:10,120 --> 01:16:13,120
Speaker 5: be a thing where every every like day, I would

1572
01:16:13,200 --> 01:16:15,439
Speaker 5: hear them storing and I'd be like, what fuck up?

1573
01:16:15,479 --> 01:16:17,800
Speaker 5: So I can sleep? But now the bed actually just

1574
01:16:17,880 --> 01:16:21,360
Speaker 5: lifts when it detects and snoring on his side, no

1575
01:16:21,479 --> 01:16:23,840
Speaker 5: on our side. So sometimes I go like, oh it's moving,

1576
01:16:23,880 --> 01:16:26,000
Speaker 5: and I will fall right back asleep. But you know,

1577
01:16:26,080 --> 01:16:28,479
Speaker 5: ever since that happened, he doesn't wake me up snoring anymore.

1578
01:16:28,479 --> 01:16:30,439
Speaker 5: That's good, Like it's saved our marriage.

1579
01:16:30,439 --> 01:16:35,439
Speaker 1: Wow, this is unfortunately you're selling me on this discover But.

1580
01:16:35,479 --> 01:16:38,240
Speaker 5: Unfortunately it also comes with useless numbers, Like how can.

1581
01:16:38,080 --> 01:16:41,880
Speaker 2: I useless number? Here's my psychopath thing? Though I have

1582
01:16:41,920 --> 01:16:43,559
Speaker 2: my numbers for my eight sleep and I have my

1583
01:16:43,640 --> 01:16:45,800
Speaker 2: numbers for my aura ring and they disagree all the time.

1584
01:16:46,240 --> 01:16:46,640
Speaker 2: I love it.

1585
01:16:46,760 --> 01:16:49,200
Speaker 5: Yeah, same is like long term tusting that.

1586
01:16:49,479 --> 01:16:51,680
Speaker 2: My favorite thing was I posted because I also use

1587
01:16:51,760 --> 01:16:54,360
Speaker 2: so many which is the thing that electrocutes for Actually

1588
01:16:54,360 --> 01:16:57,559
Speaker 2: what I love it. It's this thing that electrocute you head.

1589
01:16:57,720 --> 01:17:00,280
Speaker 2: It sounds insane. Just best not to think too hard.

1590
01:17:00,600 --> 01:17:02,760
Speaker 2: But like I posted my numbers on Blue Sky once,

1591
01:17:02,760 --> 01:17:04,559
Speaker 2: which was a mistake, and so it was immediate like

1592
01:17:04,560 --> 01:17:07,519
Speaker 2: you're not getting enough deep sleep, you should be really concerned.

1593
01:17:07,560 --> 01:17:09,880
Speaker 2: I'm like, I really had to stop myself being like

1594
01:17:09,960 --> 01:17:10,160
Speaker 2: kill you.

1595
01:17:10,760 --> 01:17:13,160
Speaker 5: To be clear, the or ring is like they do

1596
01:17:13,160 --> 01:17:14,559
Speaker 5: a lot of science, they do a lot of research.

1597
01:17:14,560 --> 01:17:16,519
Speaker 5: They're only about like I want to say, seventy nine

1598
01:17:16,520 --> 01:17:21,040
Speaker 5: percent correlation between the gold standard of polysomnography. That's what

1599
01:17:21,160 --> 01:17:26,680
Speaker 5: are you guys dreaming a lot? No, I do have medications.

1600
01:17:27,360 --> 01:17:28,960
Speaker 1: Dream that'll do.

1601
01:17:29,360 --> 01:17:32,679
Speaker 5: My new medications are giving me night terrors really bad.

1602
01:17:32,880 --> 01:17:34,400
Speaker 2: I heard them going.

1603
01:17:35,960 --> 01:17:39,240
Speaker 12: I was like, you gott he's listening to no, no,

1604
01:17:39,280 --> 01:17:40,400
Speaker 12: he was listening to this stuff.

1605
01:17:40,479 --> 01:17:45,280
Speaker 2: But he lied down on this pillow. You know he

1606
01:17:45,680 --> 01:17:48,120
Speaker 2: has night terrors. Yeah. He strikes me to kind of

1607
01:17:48,240 --> 01:17:50,519
Speaker 2: just wake up, like, yeah, I used.

1608
01:17:50,400 --> 01:17:51,920
Speaker 12: To think when he went to sleep he would just

1609
01:17:51,960 --> 01:17:53,080
Speaker 12: be in his memory palace.

1610
01:17:53,200 --> 01:17:58,240
Speaker 2: Yeah, exactly, like regarding it. Yeah, that's the thing that's well,

1611
01:17:58,240 --> 01:18:00,720
Speaker 2: it's like the basic things for sleep, like is it

1612
01:18:00,840 --> 01:18:02,760
Speaker 2: light in there or dark in there? Are you the

1613
01:18:02,840 --> 01:18:06,000
Speaker 2: right temperature? Are you comfortable? And it's like, yeah, but

1614
01:18:06,040 --> 01:18:08,360
Speaker 2: what if the pillow did all this ship you already?

1615
01:18:08,640 --> 01:18:10,439
Speaker 1: I asked. I asked the people at the booth.

1616
01:18:10,560 --> 01:18:12,559
Speaker 8: I was like, but what if I want to lay

1617
01:18:12,600 --> 01:18:14,720
Speaker 8: in bed and not have the lights out?

1618
01:18:14,800 --> 01:18:15,280
Speaker 3: Yeah?

1619
01:18:15,320 --> 01:18:19,519
Speaker 1: And he goes, well, you'd have to put another pillow

1620
01:18:19,520 --> 01:18:19,960
Speaker 1: on top.

1621
01:18:25,200 --> 01:18:29,200
Speaker 2: What's great? What's so good about that? It is likely

1622
01:18:29,320 --> 01:18:32,080
Speaker 2: no one has asked them that. You're the first person

1623
01:18:32,560 --> 01:18:34,880
Speaker 2: to be like, what if I am in bed but

1624
01:18:35,000 --> 01:18:39,320
Speaker 2: not sleeping yet? He's like, fuck, how much was this?

1625
01:18:39,439 --> 01:18:40,280
Speaker 2: Did he give you a price?

1626
01:18:40,320 --> 01:18:41,880
Speaker 1: I didn't even ask I should have asked.

1627
01:18:41,880 --> 01:18:42,680
Speaker 2: It's probably, like.

1628
01:18:42,720 --> 01:18:46,400
Speaker 5: It's probably my estimate is six hundred yeah, five dollars.

1629
01:18:47,080 --> 01:18:48,439
Speaker 5: It's always stupid.

1630
01:18:48,560 --> 01:18:50,439
Speaker 2: N you could go on like eBay and get some

1631
01:18:50,479 --> 01:18:54,080
Speaker 2: like really nice sheets that will like some like Crisp Bokale.

1632
01:18:54,280 --> 01:18:57,360
Speaker 5: Perhaps I've tested smart pillows in the past, but like

1633
01:18:57,400 --> 01:18:59,479
Speaker 5: it was a very different smart pillow was testing like

1634
01:18:59,560 --> 01:19:00,680
Speaker 5: my breathing rate?

1635
01:19:00,680 --> 01:19:01,160
Speaker 11: Why not?

1636
01:19:01,280 --> 01:19:03,160
Speaker 5: But it was also like it had a speaker in

1637
01:19:03,200 --> 01:19:06,479
Speaker 5: there so you could listen to your podcast to fall

1638
01:19:06,520 --> 01:19:09,200
Speaker 5: asleep in your smart pillow. And I was like, this

1639
01:19:09,320 --> 01:19:11,000
Speaker 5: is dumb. It's so dumb.

1640
01:19:11,560 --> 01:19:13,920
Speaker 12: I'm someone who you know, I'm not trying to optimize sleep,

1641
01:19:13,960 --> 01:19:17,200
Speaker 12: but I do value the dream pertion of it. So

1642
01:19:17,520 --> 01:19:19,880
Speaker 12: is there really is for someone like me who's just

1643
01:19:19,960 --> 01:19:22,800
Speaker 12: like I, you know, I'm interested in deeper sleep. Does

1644
01:19:22,840 --> 01:19:26,040
Speaker 12: it make sense to go on the journey of trying

1645
01:19:26,040 --> 01:19:29,439
Speaker 12: out the smart attach it or should I just invest in.

1646
01:19:30,400 --> 01:19:30,639
Speaker 3: I can't.

1647
01:19:30,680 --> 01:19:31,960
Speaker 11: I don't dream on melatonin?

1648
01:19:32,080 --> 01:19:32,639
Speaker 2: What about trust?

1649
01:19:33,720 --> 01:19:36,519
Speaker 5: Usually melatonin will make your dream super intense?

1650
01:19:37,680 --> 01:19:38,200
Speaker 2: I wake up?

1651
01:19:38,240 --> 01:19:40,920
Speaker 1: What about magnesium, the one that doesn't make you poop?

1652
01:19:41,560 --> 01:19:42,439
Speaker 2: I haven't done what is it?

1653
01:19:42,520 --> 01:19:42,720
Speaker 3: I know?

1654
01:19:42,760 --> 01:19:43,760
Speaker 11: I haven't I haven't tried a.

1655
01:19:43,680 --> 01:19:46,760
Speaker 8: Magnesium I think it's magnesium glyconate makes you sleep, and

1656
01:19:46,800 --> 01:19:48,679
Speaker 8: magnesium sit trate makes you.

1657
01:19:48,600 --> 01:19:53,479
Speaker 5: Ship relaxes you. Magnesium healthy aine. And then there's also

1658
01:19:54,040 --> 01:19:56,679
Speaker 5: you could try a GLP because one of the side

1659
01:19:56,720 --> 01:19:58,719
Speaker 5: effects of that is intensely vivid dream.

1660
01:19:58,840 --> 01:20:01,280
Speaker 12: Oh yeah, I mean you know, I like I lucid

1661
01:20:01,360 --> 01:20:04,880
Speaker 12: dream regularly, which is why I'm like, okay, I'll do

1662
01:20:04,920 --> 01:20:10,040
Speaker 12: anything as accept whatever goes and fringes on that. But

1663
01:20:10,360 --> 01:20:13,080
Speaker 12: I've never thought too much about doing the tech beyond,

1664
01:20:13,080 --> 01:20:15,080
Speaker 12: like I'll just invest in really nice sheet, you know,

1665
01:20:15,240 --> 01:20:17,360
Speaker 12: and just to get myself really comfort.

1666
01:20:17,400 --> 01:20:20,200
Speaker 2: The sleep measurement stuff sucks, but I really love the keat.

1667
01:20:20,280 --> 01:20:22,880
Speaker 2: I love the cold. I love the fact control over

1668
01:20:22,880 --> 01:20:26,320
Speaker 2: the end. I burn half I sleep and I look

1669
01:20:26,360 --> 01:20:29,160
Speaker 2: and I have like a full scale like blackout eye mask.

1670
01:20:29,280 --> 01:20:31,960
Speaker 2: I have a giant sheet. I like curl myself up

1671
01:20:31,960 --> 01:20:34,400
Speaker 2: in a ball. It's probably not great, Like it's probably

1672
01:20:34,479 --> 01:20:36,720
Speaker 2: not a great sign. And I'm just like cold and

1673
01:20:36,800 --> 01:20:39,400
Speaker 2: like wrapped in this thing like I've just blacked at,

1674
01:20:39,439 --> 01:20:41,280
Speaker 2: like and I wake up when my alarm goes off

1675
01:20:41,280 --> 01:20:43,400
Speaker 2: and not a moment earlier. It's fucking great. I mean,

1676
01:20:43,439 --> 01:20:45,360
Speaker 2: I write constantly I think like, this is the only

1677
01:20:45,439 --> 01:20:49,320
Speaker 2: reason I can just like endless sleep. But it's again,

1678
01:20:49,760 --> 01:20:52,040
Speaker 2: the numbers do fucking nothing for me. I wake up

1679
01:20:52,080 --> 01:20:54,280
Speaker 2: feeling like shit, It's like you didn't sleep enough. Thank you?

1680
01:20:54,439 --> 01:20:56,479
Speaker 8: Yeah. For me, the numbers make it so much worse

1681
01:20:56,520 --> 01:21:01,479
Speaker 8: because mostly if I'm having trouble sleeping, then a huge

1682
01:21:01,479 --> 01:21:04,320
Speaker 8: proportion of my brain is fixated on I am not

1683
01:21:04,439 --> 01:21:07,439
Speaker 8: sleeping and that is bad. And so then to have

1684
01:21:07,560 --> 01:21:09,120
Speaker 8: when they're like, this is going to help you sleep better,

1685
01:21:09,160 --> 01:21:11,400
Speaker 8: I'm like, no, no, no, it's gonna remind me how badly

1686
01:21:11,439 --> 01:21:13,400
Speaker 8: I'm sleeping, and that's going to make me sleep so

1687
01:21:13,600 --> 01:21:16,479
Speaker 8: much worse because every night when I lay down, it's

1688
01:21:16,479 --> 01:21:18,280
Speaker 8: gonna be like, well, tonight has to be the night

1689
01:21:18,520 --> 01:21:20,240
Speaker 8: that it is good now.

1690
01:21:20,720 --> 01:21:23,320
Speaker 2: And get you loved ones get a text saying she's

1691
01:21:23,360 --> 01:21:23,960
Speaker 2: not sleeping.

1692
01:21:24,960 --> 01:21:27,880
Speaker 8: Chloe has been detected lying down, but has not been

1693
01:21:27,920 --> 01:21:30,200
Speaker 8: detected unconscious yet.

1694
01:21:30,360 --> 01:21:34,479
Speaker 2: Chloe has violated the rules of the Billows Sleep bought that.

1695
01:21:34,479 --> 01:21:38,040
Speaker 5: That matric is called sleep latency. It sucks.

1696
01:21:38,200 --> 01:21:40,720
Speaker 2: Yeah, what's the what how long it takes you to.

1697
01:21:40,680 --> 01:21:43,519
Speaker 5: Sleep, how long until you try to go to sleep,

1698
01:21:43,600 --> 01:21:46,040
Speaker 5: and how when you actually fall asleep it's called sleep

1699
01:21:46,080 --> 01:21:49,320
Speaker 5: latencyy and you can kind of measure certain things by that.

1700
01:21:49,400 --> 01:21:52,679
Speaker 5: It's it's bullshit occasionally bullshit, but it's bullshit.

1701
01:21:52,800 --> 01:21:55,240
Speaker 2: I occasionally really like I'll get like a two minute

1702
01:21:55,240 --> 01:21:56,000
Speaker 2: one of the fuck.

1703
01:21:56,120 --> 01:21:58,920
Speaker 5: Yeah, well, like all it does. All it does is

1704
01:21:58,960 --> 01:22:01,320
Speaker 5: if you have a sleep and see under fifteen minutes,

1705
01:22:01,320 --> 01:22:03,040
Speaker 5: it just means you're really fucking tired.

1706
01:22:03,000 --> 01:22:06,719
Speaker 1: And that's bad. Interesting. Yeah, wait, you mean like healthy

1707
01:22:06,760 --> 01:22:07,439
Speaker 1: people have.

1708
01:22:07,600 --> 01:22:09,080
Speaker 5: About fifteen minutes to fall asleep.

1709
01:22:09,880 --> 01:22:13,320
Speaker 1: Interesting, that's like a normal Take that boyfriend.

1710
01:22:13,000 --> 01:22:14,360
Speaker 5: Yeah, like you're falling.

1711
01:22:14,400 --> 01:22:16,800
Speaker 1: He falls asleep in forty five seconds. It's like if

1712
01:22:17,040 --> 01:22:19,120
Speaker 1: and then highlight there he helps angry.

1713
01:22:20,520 --> 01:22:23,040
Speaker 8: Listening to him, get this peaceful rest that I should

1714
01:22:23,040 --> 01:22:23,639
Speaker 8: be enjoying.

1715
01:22:24,560 --> 01:22:28,080
Speaker 5: I'm like, you fall asleep too quickly.

1716
01:22:28,640 --> 01:22:32,120
Speaker 2: It could be one hour yesterday, Jesus Christ. Yeah, okay,

1717
01:22:33,080 --> 01:22:37,679
Speaker 2: seventeen six minutes, two days ago, thirteen sixteen and seven,

1718
01:22:38,640 --> 01:22:45,160
Speaker 2: seven sixteen, twenty eight, eight thirty three, one fucking fucking

1719
01:22:45,240 --> 01:22:49,559
Speaker 2: lost Friday, one minute, just fucking I think I was

1720
01:22:49,560 --> 01:22:51,679
Speaker 2: like in a moment with my girlfriend, I'm very happy.

1721
01:22:51,760 --> 01:22:55,040
Speaker 2: So that's lovely. Under that layer, all you.

1722
01:22:55,080 --> 01:22:57,960
Speaker 5: Need is like a baseline and like the only point

1723
01:22:57,960 --> 01:22:59,920
Speaker 5: of these numbers is to build a long term base,

1724
01:23:00,240 --> 01:23:02,960
Speaker 5: and when you're off the baseline, you go like, oh, okay,

1725
01:23:03,479 --> 01:23:04,800
Speaker 5: maybe happened to me.

1726
01:23:05,000 --> 01:23:07,479
Speaker 8: It's yet again to go back to sort of the

1727
01:23:07,479 --> 01:23:10,479
Speaker 8: theme of earlier, don't you know when you're off the

1728
01:23:10,520 --> 01:23:14,120
Speaker 8: baseline by I'm having trouble sleeping lately?

1729
01:23:14,439 --> 01:23:17,160
Speaker 2: Yeah, I'm having trouble to sleep. Like.

1730
01:23:17,200 --> 01:23:18,760
Speaker 5: The whole point of this is that they're trying to

1731
01:23:18,800 --> 01:23:22,120
Speaker 5: do something like illness prediction, and there is science that

1732
01:23:22,160 --> 01:23:24,200
Speaker 5: they can do that. Like during COVID they.

1733
01:23:24,080 --> 01:23:27,160
Speaker 2: Were yeah, or is not great of that?

1734
01:23:27,280 --> 01:23:27,840
Speaker 5: It actually is.

1735
01:23:28,080 --> 01:23:29,120
Speaker 2: It hasn't been great for me.

1736
01:23:29,560 --> 01:23:31,880
Speaker 5: I've gotten it where like the symptom radar is just

1737
01:23:31,880 --> 01:23:33,679
Speaker 5: like you're getting sick and then I would get sick,

1738
01:23:33,760 --> 01:23:35,559
Speaker 5: so like, but you know, it's not that helpful because

1739
01:23:35,600 --> 01:23:37,080
Speaker 5: it's like a forty eight hour button.

1740
01:23:37,120 --> 01:23:40,160
Speaker 8: Though again I know I'm like, I know my throat

1741
01:23:40,160 --> 01:23:42,479
Speaker 8: has a tiny tickle, I'm about to get sick.

1742
01:23:43,160 --> 01:23:45,680
Speaker 5: Like all of this stuff came from like when they

1743
01:23:45,680 --> 01:23:49,240
Speaker 5: were doing COVID research because it's asymptomatics. Okay, get like

1744
01:23:49,320 --> 01:23:50,559
Speaker 5: that sort of like, but.

1745
01:23:50,479 --> 01:23:53,040
Speaker 2: This is the thing with all this wellness shit. It's

1746
01:23:53,080 --> 01:23:55,040
Speaker 2: like well, you can't be mad at us that it

1747
01:23:55,120 --> 01:23:56,880
Speaker 2: isn't really useful, because once it.

1748
01:23:56,880 --> 01:23:59,960
Speaker 5: Was snake oil. That's my beat, snake.

1749
01:23:59,640 --> 01:24:02,599
Speaker 2: Oil, snake oil cussed feet.

1750
01:24:02,960 --> 01:24:05,760
Speaker 5: Yeah, I just I just sit here and go like, no,

1751
01:24:06,000 --> 01:24:08,360
Speaker 5: that's not true, No that's not true. Here's the nuance.

1752
01:24:08,360 --> 01:24:09,920
Speaker 5: And everyone yells at me and they're like you're a

1753
01:24:09,920 --> 01:24:11,680
Speaker 5: big farmer shell and I'm like, no, I'm not.

1754
01:24:11,840 --> 01:24:13,080
Speaker 2: What the fuck does that? I mean, what do you

1755
01:24:13,120 --> 01:24:14,320
Speaker 2: mean a big farma shoe?

1756
01:24:14,400 --> 01:24:16,920
Speaker 5: Oh. I wrote a story recently about the wellness wild West.

1757
01:24:17,000 --> 01:24:19,080
Speaker 5: It's kind of like a storyline that I read about

1758
01:24:19,080 --> 01:24:21,240
Speaker 5: a lot, and I was talking about how people shouldn't

1759
01:24:21,240 --> 01:24:25,280
Speaker 5: be injecting unapproved drugs. Ideally, even if it.

1760
01:24:25,800 --> 01:24:28,640
Speaker 2: Peptides, yes, Chinese peptide.

1761
01:24:28,320 --> 01:24:31,360
Speaker 5: Don't don't do that. Don't take GOLP three. It's not

1762
01:24:31,520 --> 01:24:34,280
Speaker 5: actually a GOLP three because the only people with access

1763
01:24:34,320 --> 01:24:37,720
Speaker 5: to the proprietary components to that is Eli Lilly. So

1764
01:24:37,800 --> 01:24:41,200
Speaker 5: whatever you're getting from China is almost one not a

1765
01:24:41,280 --> 01:24:41,760
Speaker 5: gil and.

1766
01:24:41,680 --> 01:24:43,800
Speaker 2: You're not seeing GOP three is a problem. Just getting

1767
01:24:43,800 --> 01:24:46,000
Speaker 2: it from an unlicensed getting it from.

1768
01:24:45,840 --> 01:24:49,080
Speaker 5: An unlicensed Chinese pharmacist is not a great idea. Bub

1769
01:24:49,240 --> 01:24:52,080
Speaker 5: reconstituting it yourself. You are not a pharmacist. I don't

1770
01:24:52,080 --> 01:24:55,200
Speaker 5: see any of you on TikTok using fucking sterile ingredients

1771
01:24:55,280 --> 01:24:58,559
Speaker 5: or sterile instruments or whatnot. Like I said that and

1772
01:24:58,600 --> 01:25:02,759
Speaker 5: they were like, fucking big sh pharma's shill. I can't

1773
01:25:02,760 --> 01:25:06,639
Speaker 5: believe me saying don't use unapproved drugs. Is me being

1774
01:25:06,680 --> 01:25:07,439
Speaker 5: a big farmer.

1775
01:25:07,280 --> 01:25:10,880
Speaker 2: Show I'm this week, I'm using the new viral GLP.

1776
01:25:11,080 --> 01:25:14,200
Speaker 5: From REDDA and Rada tu weey because there, you know

1777
01:25:14,280 --> 01:25:16,360
Speaker 5: the the videos. It was like, oh my god, here's

1778
01:25:16,360 --> 01:25:18,280
Speaker 5: week one on read. I'm like, first of all, you're

1779
01:25:18,280 --> 01:25:23,200
Speaker 5: not on REDDA, You're on some other fucking co The

1780
01:25:23,200 --> 01:25:25,439
Speaker 5: The thing that they're calling GLP three, which is also

1781
01:25:25,520 --> 01:25:28,160
Speaker 5: like not the correct way to call it, is redd

1782
01:25:28,200 --> 01:25:28,960
Speaker 5: a true tide.

1783
01:25:29,080 --> 01:25:32,000
Speaker 2: I feel like if you describe this like a hunt,

1784
01:25:32,080 --> 01:25:34,760
Speaker 2: like I went to a mysterious man who handed me

1785
01:25:34,840 --> 01:25:36,400
Speaker 2: some pills, you'd be like, yeah, that sounds bad, you

1786
01:25:36,400 --> 01:25:37,960
Speaker 2: should go to the doctor. But this is like, well,

1787
01:25:38,000 --> 01:25:39,520
Speaker 2: not because I got it from the internet.

1788
01:25:39,800 --> 01:25:43,599
Speaker 1: Yeah, I just was reading an article about peptides. Because

1789
01:25:44,360 --> 01:25:47,200
Speaker 1: not because I was like would those make my life better?

1790
01:25:47,360 --> 01:25:50,880
Speaker 8: Not certainly, not that Not because I was thinking about

1791
01:25:50,880 --> 01:25:54,280
Speaker 8: trying them, and I read an article and there was

1792
01:25:54,360 --> 01:25:57,040
Speaker 8: somebody was quoted. Somebody was just saying, like, they're all

1793
01:25:57,080 --> 01:26:01,160
Speaker 8: over Silicon Valley and uh, like this crew, you know,

1794
01:26:01,240 --> 01:26:04,080
Speaker 8: Crypto loves them, AI loves them whatever whatever else, this

1795
01:26:04,160 --> 01:26:08,280
Speaker 8: other thing loves them. And whoever was quoted said, the

1796
01:26:08,360 --> 01:26:11,679
Speaker 8: only group that's a little more skeptical is uh. Anybody

1797
01:26:11,680 --> 01:26:14,000
Speaker 8: who works in biotech is a little bit more skeptical.

1798
01:26:14,080 --> 01:26:16,479
Speaker 8: But they're just so in the pocket of the FDA,

1799
01:26:16,680 --> 01:26:20,639
Speaker 8: or they're so they're so uh they like bow down

1800
01:26:20,680 --> 01:26:23,080
Speaker 8: to the FDA. And I was like, well, the other

1801
01:26:23,160 --> 01:26:26,880
Speaker 8: interpretation is they this is the world that they work in,

1802
01:26:26,960 --> 01:26:30,320
Speaker 8: and they're steeped in way, way, way more information than

1803
01:26:30,320 --> 01:26:33,920
Speaker 8: somebody who works in crypto is about peptides specifically, So

1804
01:26:34,439 --> 01:26:36,719
Speaker 8: maybe their skepticism is like healthy and ractional.

1805
01:26:36,840 --> 01:26:39,000
Speaker 5: It's partly like little like the FDA doesn't want you

1806
01:26:39,080 --> 01:26:41,240
Speaker 5: to have that. And I get where that's coming from,

1807
01:26:41,600 --> 01:26:44,920
Speaker 5: because you know, healthcare sucks in our country, it's expensive.

1808
01:26:45,080 --> 01:26:48,280
Speaker 5: These things could be helpful, but you're getting blocked from it.

1809
01:26:48,360 --> 01:26:51,160
Speaker 5: They are trying to, you know, make sure that they're

1810
01:26:51,200 --> 01:26:52,880
Speaker 5: making the most amount of money of it. Those are

1811
01:26:52,920 --> 01:26:56,120
Speaker 5: all true things, But the FDA exists. We have these

1812
01:26:56,120 --> 01:27:01,240
Speaker 5: regulations because people fucking died. People died before, Like this

1813
01:27:01,280 --> 01:27:04,759
Speaker 5: is how people die or get really adverse effects because

1814
01:27:05,479 --> 01:27:08,800
Speaker 5: I don't know, but doctor matt On TikTok, who is

1815
01:27:08,960 --> 01:27:12,000
Speaker 5: most certainly not an actual doctor, telling you how to

1816
01:27:12,120 --> 01:27:17,519
Speaker 5: dose gray market Chinese peptides from like things you bought

1817
01:27:17,560 --> 01:27:21,040
Speaker 5: from Amazon. I'm sorry when you're in the comments and

1818
01:27:21,080 --> 01:27:23,160
Speaker 5: you're like, oh, yeah, I was vomiting uncontrollably.

1819
01:27:23,320 --> 01:27:24,600
Speaker 1: Oh I wonder why.

1820
01:27:24,880 --> 01:27:28,559
Speaker 2: I'm just doing weight loss math math.

1821
01:27:28,680 --> 01:27:31,960
Speaker 12: I had such a distant sense of the GLP once

1822
01:27:31,960 --> 01:27:35,200
Speaker 12: because I've been learning about them from the way in

1823
01:27:35,200 --> 01:27:40,440
Speaker 12: which they're displacing insulin production in a lot of places,

1824
01:27:40,520 --> 01:27:44,719
Speaker 12: and I hadn't had a good sense of the extent

1825
01:27:44,760 --> 01:27:47,840
Speaker 12: to which I was like, oh, why are they calling

1826
01:27:47,880 --> 01:27:51,080
Speaker 12: them Chinese peptides so incessantly? And that piece was interesting,

1827
01:27:51,120 --> 01:27:54,960
Speaker 12: and that time piece was interested in laying out one

1828
01:27:55,080 --> 01:27:59,120
Speaker 12: Silicon Valley's obsession with them and also making click into

1829
01:27:59,160 --> 01:28:02,640
Speaker 12: sense that I feel like we're seeing others subcultures be like,

1830
01:28:02,640 --> 01:28:05,040
Speaker 12: well like, yeah, of course you got to do it yourself.

1831
01:28:05,080 --> 01:28:06,640
Speaker 12: Of course you got a looks Max. Of course you

1832
01:28:06,720 --> 01:28:10,360
Speaker 12: gotta yeah, you know, like uh optimization.

1833
01:28:10,080 --> 01:28:10,639
Speaker 11: Yes exactly.

1834
01:28:10,840 --> 01:28:13,040
Speaker 2: I just want to be abundantly clear about something. By

1835
01:28:13,040 --> 01:28:15,040
Speaker 2: the way, we're not saying g o P one is

1836
01:28:15,080 --> 01:28:18,160
Speaker 2: a bad thing, like it's totally fine. I just want

1837
01:28:18,160 --> 01:28:19,960
Speaker 2: to be really abundantly to developed. I mean.

1838
01:28:19,960 --> 01:28:21,880
Speaker 12: And one of the use cases is for like, you know,

1839
01:28:21,920 --> 01:28:24,760
Speaker 12: if you have, for example, diabetes. You know that, you

1840
01:28:24,800 --> 01:28:28,960
Speaker 12: know that's that's one of the uh the proven use cases.

1841
01:28:28,960 --> 01:28:32,519
Speaker 12: And yeah, gives it to you.

1842
01:28:32,640 --> 01:28:34,640
Speaker 11: Yeah, as long as as you're not doing it in

1843
01:28:34,680 --> 01:28:35,360
Speaker 11: your bathtub.

1844
01:28:37,400 --> 01:28:40,439
Speaker 2: PhD in philosophy teaching you that.

1845
01:28:40,600 --> 01:28:43,400
Speaker 12: It's been so fascinating to see the extent to which

1846
01:28:43,439 --> 01:28:48,400
Speaker 12: people are like throwing a lot of uh reason out

1847
01:28:48,400 --> 01:28:50,080
Speaker 12: of the door just to be like, no, this is fine,

1848
01:28:50,120 --> 01:28:53,840
Speaker 12: this is okay. Actually, and you are a big Pharmachelle,

1849
01:28:53,840 --> 01:28:54,920
Speaker 12: if you are, you.

1850
01:28:54,800 --> 01:28:59,960
Speaker 5: Know, maybe maybe you know body builders who already are

1851
01:29:00,040 --> 01:29:03,679
Speaker 5: a very lean taking GOLP so called GOLP three. Maybe

1852
01:29:03,680 --> 01:29:06,080
Speaker 5: that's not a great idea because they've actually never studied

1853
01:29:06,520 --> 01:29:10,040
Speaker 5: what this medication does in people with low body fact.

1854
01:29:10,280 --> 01:29:11,439
Speaker 5: You don't know what.

1855
01:29:11,280 --> 01:29:12,960
Speaker 11: If you're going to do this, how many times are

1856
01:29:12,960 --> 01:29:14,880
Speaker 11: we going to do a wave.

1857
01:29:14,960 --> 01:29:17,120
Speaker 12: Of a drug that does seem to have a really

1858
01:29:17,320 --> 01:29:21,080
Speaker 12: miraculous impact on people. And then you know the crusading

1859
01:29:21,800 --> 01:29:25,080
Speaker 12: group of power users maybe you know who are like, hey,

1860
01:29:25,120 --> 01:29:28,920
Speaker 12: you know, well, if you're not supporting everyone using it

1861
01:29:28,920 --> 01:29:30,400
Speaker 12: as widely as possible, then you're.

1862
01:29:30,320 --> 01:29:32,680
Speaker 1: In the pocket of the I mean, side effects are

1863
01:29:32,880 --> 01:29:35,400
Speaker 1: a lot more. Yes, effects are real.

1864
01:29:35,640 --> 01:29:38,080
Speaker 5: We may not actually want to have those side effects.

1865
01:29:38,120 --> 01:29:40,080
Speaker 5: And like, these drugs are so new, we don't know

1866
01:29:40,120 --> 01:29:42,719
Speaker 5: what the long term effect is. And it's not bad

1867
01:29:42,760 --> 01:29:45,439
Speaker 5: to say, like, you know, you're you're always doing a

1868
01:29:45,479 --> 01:29:47,360
Speaker 5: weigh a pro and con like I'm willing to do

1869
01:29:47,400 --> 01:29:50,680
Speaker 5: the side effect because the alternative is worse, and like,

1870
01:29:50,720 --> 01:29:52,760
Speaker 5: those are conversations you need to have with a real

1871
01:29:52,840 --> 01:29:57,920
Speaker 5: fucking doctor. Oh, not a comment section, not some billy

1872
01:29:58,000 --> 01:30:02,200
Speaker 5: bob doctor boo on TikTok. It seems it's.

1873
01:30:05,640 --> 01:30:05,880
Speaker 1: Times.

1874
01:30:05,880 --> 01:30:08,360
Speaker 8: The word A thought that I was having on the

1875
01:30:08,360 --> 01:30:13,639
Speaker 8: plane here is it feels like society as a whole,

1876
01:30:13,720 --> 01:30:16,280
Speaker 8: and particularly like the this this sections of society that

1877
01:30:16,320 --> 01:30:20,080
Speaker 8: are more online, that are more techified, that are more

1878
01:30:20,320 --> 01:30:24,280
Speaker 8: you know whatever for sort of forward in that kind

1879
01:30:24,320 --> 01:30:24,960
Speaker 8: of progression.

1880
01:30:25,640 --> 01:30:27,760
Speaker 1: Uh have plenty of room for.

1881
01:30:27,720 --> 01:30:31,839
Speaker 8: Skepticism when it comes to systems of like social support,

1882
01:30:32,840 --> 01:30:37,439
Speaker 8: but do not have room for skepticism about tech or so.

1883
01:30:38,160 --> 01:30:39,679
Speaker 1: Yeah, yeah, just.

1884
01:30:39,600 --> 01:30:43,040
Speaker 5: Like medicine, Like, oh, medicine, vaccines, why would we do

1885
01:30:43,120 --> 01:30:47,120
Speaker 5: that despite hundreds of years of evidence, Like they can't

1886
01:30:47,160 --> 01:30:51,440
Speaker 5: possibly be right because coach Matt told me on TikTok

1887
01:30:51,560 --> 01:30:52,519
Speaker 5: and it seems right.

1888
01:30:52,600 --> 01:30:54,519
Speaker 2: And I mean I say this from a perspective of

1889
01:30:54,640 --> 01:30:56,599
Speaker 2: I've been very overweight in my life, like I used

1890
01:30:56,600 --> 01:30:58,840
Speaker 2: to be like three hundred and fifty pounds a while back,

1891
01:30:58,960 --> 01:31:02,639
Speaker 2: and it's like I get the desperation. Yeah, I get desperation,

1892
01:31:02,720 --> 01:31:05,840
Speaker 2: especially when it's like GLP one is like very GP three.

1893
01:31:05,880 --> 01:31:08,200
Speaker 2: I'm sorry, but it's like very expensive. You have to

1894
01:31:08,240 --> 01:31:09,679
Speaker 2: go to a doctor and all that, and just being

1895
01:31:09,720 --> 01:31:12,080
Speaker 2: like maybe I could do this cheaper, maybe my doctor

1896
01:31:12,120 --> 01:31:14,080
Speaker 2: won't give it to me, maybe whatever, And I get

1897
01:31:14,080 --> 01:31:16,240
Speaker 2: that fucking desperation. You'll try it, Like when I've had

1898
01:31:16,240 --> 01:31:18,680
Speaker 2: weight problems, you're fucking scratching at the walls, trying to

1899
01:31:18,680 --> 01:31:21,559
Speaker 2: find some cheat code around the actual hard thing of

1900
01:31:21,640 --> 01:31:24,639
Speaker 2: changing lifestyle, which I should be clear, it's very fucking difficult.

1901
01:31:24,680 --> 01:31:26,839
Speaker 2: I have sympathy with everyone. I've been through it multiple

1902
01:31:26,880 --> 01:31:29,680
Speaker 2: cycles in my life I get it, but it's like

1903
01:31:30,120 --> 01:31:32,559
Speaker 2: to your point, Victoria, it's like, yeah, you're gonna get

1904
01:31:32,720 --> 01:31:35,360
Speaker 2: side effects. I'd rather roll the dice on the doctor

1905
01:31:36,120 --> 01:31:38,559
Speaker 2: who's using the thing that they know the side effects,

1906
01:31:38,560 --> 01:31:41,040
Speaker 2: they've done trials and such, versus the doctor.

1907
01:31:41,479 --> 01:31:43,880
Speaker 5: It's hard because you go to doctors and doctors don't

1908
01:31:43,880 --> 01:31:46,760
Speaker 5: listen to you. I have bekase, I have metabolic conditions.

1909
01:31:46,840 --> 01:31:50,080
Speaker 5: I'm on a GLP actually for it for like peacos

1910
01:31:50,080 --> 01:31:53,599
Speaker 5: and fatty liver, And getting to that point was over

1911
01:31:53,680 --> 01:31:55,400
Speaker 5: a ten year long journey.

1912
01:31:55,640 --> 01:31:56,639
Speaker 2: Yeah, but these.

1913
01:31:56,479 --> 01:31:58,360
Speaker 5: Are conversations I was having and I had to fire

1914
01:31:58,439 --> 01:32:00,760
Speaker 5: like five doctors because one was like listen to the

1915
01:32:00,800 --> 01:32:06,599
Speaker 5: Huberman lab no, or like maybe you should be maybe

1916
01:32:06,640 --> 01:32:09,040
Speaker 5: you should be a vegan. Fuck off. Not not to

1917
01:32:09,240 --> 01:32:11,560
Speaker 5: like say anything with vegans, but like that's not the

1918
01:32:12,200 --> 01:32:14,720
Speaker 5: solution I was looking for, or just being like, well,

1919
01:32:14,760 --> 01:32:17,880
Speaker 5: you know picos causes weight gain. Also the solution is

1920
01:32:17,880 --> 01:32:20,720
Speaker 5: weight loss, but also your body will not let you

1921
01:32:21,040 --> 01:32:23,840
Speaker 5: lose the weight, so just lose some weight. And like

1922
01:32:23,960 --> 01:32:27,519
Speaker 5: I understand that desperation, like from a very personal level,

1923
01:32:27,800 --> 01:32:29,719
Speaker 5: but at the same time, you have to believe in science.

1924
01:32:29,720 --> 01:32:32,920
Speaker 5: You have to believe in like the process exists because

1925
01:32:32,920 --> 01:32:37,479
Speaker 5: people have died because side effects are also debilitating to

1926
01:32:37,560 --> 01:32:39,760
Speaker 5: quality of life. The worst part about being on a

1927
01:32:39,800 --> 01:32:42,759
Speaker 5: GLP for me is that I like food. I don't

1928
01:32:42,880 --> 01:32:44,880
Speaker 5: have a lot of food noise. I actually genuinely don't

1929
01:32:44,880 --> 01:32:47,519
Speaker 5: have food noise. My liver just wants to fuck me over,

1930
01:32:48,040 --> 01:32:53,519
Speaker 5: and so like I can't eat. It's so it takes

1931
01:32:53,600 --> 01:32:56,000
Speaker 5: the joy out of eating for me. I don't enjoy

1932
01:32:56,040 --> 01:32:59,679
Speaker 5: it at all. I'm sorry, yeah no, And like I'm tired.

1933
01:32:59,840 --> 01:33:03,439
Speaker 5: I get fucking clown nightmares. I literally had a nightmare

1934
01:33:03,479 --> 01:33:06,479
Speaker 5: that my spouse's X came running after me and I

1935
01:33:06,520 --> 01:33:09,000
Speaker 5: was like, oh, this ho and then she turned into

1936
01:33:09,040 --> 01:33:12,400
Speaker 5: Penny Wise, the fucking clown, the Bill Scar's Guard version.

1937
01:33:12,400 --> 01:33:14,000
Speaker 5: I woke up screaming like.

1938
01:33:14,200 --> 01:33:16,439
Speaker 2: This is the side effect I have, clown.

1939
01:33:16,880 --> 01:33:19,040
Speaker 5: Yeah, no, that's a side effect I have. This is

1940
01:33:19,080 --> 01:33:20,960
Speaker 5: a thing, you know, and you have to wait those

1941
01:33:20,960 --> 01:33:23,120
Speaker 5: pros and cons for health. But you know, in the

1942
01:33:23,160 --> 01:33:27,479
Speaker 5: pursuit of optimization, and that's rampant here at CEES, people

1943
01:33:27,560 --> 01:33:31,680
Speaker 5: are like, yeah, numbers that don't matter, do this, do that,

1944
01:33:31,720 --> 01:33:33,559
Speaker 5: and it's like, this is why I have mental health

1945
01:33:33,560 --> 01:33:34,599
Speaker 5: problems doing my job.

1946
01:33:35,080 --> 01:33:36,559
Speaker 2: But now you have numbers to help.

1947
01:33:37,000 --> 01:33:38,679
Speaker 1: Yeah, yeah, now you have so many numbers.

1948
01:33:38,800 --> 01:33:40,040
Speaker 8: I want to I mean, I want to go back

1949
01:33:40,040 --> 01:33:42,479
Speaker 8: to one thing that you said, which is you said

1950
01:33:42,520 --> 01:33:43,919
Speaker 8: you have to believe in science.

1951
01:33:44,120 --> 01:33:46,479
Speaker 1: Yeah, because people have died, we've done this whatever.

1952
01:33:47,720 --> 01:33:51,000
Speaker 8: I think that there's just a huge swath of the population,

1953
01:33:51,320 --> 01:33:55,559
Speaker 8: which is heavily represented here, of people who would just say, no,

1954
01:33:55,680 --> 01:33:57,320
Speaker 8: you don't have to believe in science.

1955
01:33:57,760 --> 01:33:59,080
Speaker 2: It is lies.

1956
01:33:59,360 --> 01:34:01,839
Speaker 1: It is you know, it is bunk, it is biased,

1957
01:34:01,880 --> 01:34:02,559
Speaker 1: it is whatever.

1958
01:34:03,120 --> 01:34:07,479
Speaker 8: And that fracture is where I'm like, oh no, we've

1959
01:34:07,560 --> 01:34:10,160
Speaker 8: not just about science particularly, but sort of like the

1960
01:34:10,560 --> 01:34:15,080
Speaker 8: like communal agreement on some like really foundational social pillars.

1961
01:34:15,120 --> 01:34:16,160
Speaker 2: Consensus reality.

1962
01:34:16,280 --> 01:34:19,280
Speaker 8: Yeah, consensus reality is is like seems to be crumbling.

1963
01:34:19,280 --> 01:34:21,360
Speaker 2: And it doesn't help that the leader of the FDA

1964
01:34:21,520 --> 01:34:26,920
Speaker 2: sounds like a fucking cyberman. Oh you know yet. Yeah, Now,

1965
01:34:27,000 --> 01:34:29,320
Speaker 2: we can't make fun of him. It's a physical condition.

1966
01:34:29,400 --> 01:34:30,760
Speaker 2: We can't make fun of him for that. We can

1967
01:34:30,800 --> 01:34:32,439
Speaker 2: make fun of that, for the fucking worm in his.

1968
01:34:32,439 --> 01:34:34,680
Speaker 5: Brain, the warm in his brain, and the.

1969
01:34:34,280 --> 01:34:35,880
Speaker 2: Whale corpse and the bare corpse.

1970
01:34:35,920 --> 01:34:38,040
Speaker 5: I he keeps me up at night because in June

1971
01:34:38,080 --> 01:34:40,759
Speaker 5: he was like in four years. I want every American

1972
01:34:40,800 --> 01:34:44,960
Speaker 5: wearing a wearable and as we quantified people on the

1973
01:34:45,000 --> 01:34:48,479
Speaker 5: earth wearing three to four wearables continuously twenty four seven,

1974
01:34:48,479 --> 01:34:49,240
Speaker 5: three sixty five.

1975
01:34:49,960 --> 01:34:55,439
Speaker 2: No, don't do that, so at that point we can rotate.

1976
01:34:55,520 --> 01:34:58,000
Speaker 2: Oh guess one last time, Thank you so much for listening.

1977
01:34:58,080 --> 01:35:01,400
Speaker 2: The upcoming AD I assume is not for weight loss drugs.

1978
01:35:01,560 --> 01:35:04,400
Speaker 2: If it is, well, I guess.

1979
01:35:04,280 --> 01:35:07,360
Speaker 7: You know how we feel about that now, but that's

1980
01:35:07,400 --> 01:35:20,480
Speaker 7: not really my goddamn problem.

1981
01:35:20,640 --> 01:35:23,160
Speaker 2: Welcome back to the better off line CS experience. We're

1982
01:35:23,200 --> 01:35:25,719
Speaker 2: just talking about wanking. I guess.

1983
01:35:27,200 --> 01:35:28,440
Speaker 1: I was more specific.

1984
01:35:28,600 --> 01:35:31,320
Speaker 3: I was saying, the flashlights are They're just okay, and so.

1985
01:35:31,280 --> 01:35:35,800
Speaker 1: Why would be interesting take yes, oh.

1986
01:35:35,720 --> 01:35:42,280
Speaker 6: What because you're oh, because I admit to using a sexat.

1987
01:35:42,280 --> 01:35:43,320
Speaker 3: A man who.

1988
01:35:43,280 --> 01:35:47,519
Speaker 6: Uses a sex toy. Women are vibrator vibrator vibr because men.

1989
01:35:47,400 --> 01:35:50,840
Speaker 8: Are inadequate, because men, and if you say that women

1990
01:35:50,920 --> 01:35:54,240
Speaker 8: are inadequate, I will take deeper.

1991
01:35:55,400 --> 01:35:57,720
Speaker 11: The next generation of sex toy.

1992
01:35:57,920 --> 01:36:02,479
Speaker 2: Welcome. Welcome to a offline. You complained last year we

1993
01:36:02,520 --> 01:36:04,880
Speaker 2: didn't have enough woman, which was true. Now we've got

1994
01:36:04,880 --> 01:36:08,800
Speaker 2: one that's just immediately created. The fracture got you for

1995
01:36:08,840 --> 01:36:10,760
Speaker 2: two more days. As well as gonna be great hair

1996
01:36:11,280 --> 01:36:15,439
Speaker 2: now this chaos and truthfully having like amazing teams the

1997
01:36:15,439 --> 01:36:17,640
Speaker 2: core better offline team for the show as well. And

1998
01:36:17,680 --> 01:36:20,360
Speaker 2: I'm actually like both you and Adam Chloe, you both

1999
01:36:20,439 --> 01:36:22,760
Speaker 2: kind of were like it's like like Adam, you've done

2000
01:36:22,760 --> 01:36:24,280
Speaker 2: a bit of tech cloth you've not done really and

2001
01:36:24,320 --> 01:36:26,200
Speaker 2: you're like, oh is this Am I going to be

2002
01:36:26,200 --> 01:36:28,160
Speaker 2: a right to do this? Because like I haven't done it.

2003
01:36:28,520 --> 01:36:30,920
Speaker 2: This is the perfect view because I think the really

2004
01:36:31,000 --> 01:36:34,160
Speaker 2: tech poisoned people are incapable of just being like that

2005
01:36:34,320 --> 01:36:38,360
Speaker 2: sounds fucking useless. That sounds dumb as ship even the

2006
01:36:38,439 --> 01:36:40,760
Speaker 2: jack off machine. It's like, you're going to attach this

2007
01:36:41,280 --> 01:36:43,320
Speaker 2: heavy looking looks pretty heavy.

2008
01:36:43,960 --> 01:36:46,880
Speaker 3: It didn't. It didn't look useful or necessary.

2009
01:36:47,080 --> 01:36:50,840
Speaker 6: It's a we've already we've already talked about.

2010
01:36:50,840 --> 01:36:59,839
Speaker 8: It doesn't look useful or necessary.

2011
01:37:00,120 --> 01:37:00,920
Speaker 3: To describe.

2012
01:37:01,000 --> 01:37:03,720
Speaker 6: Because we talked about the handy and Handy too in

2013
01:37:03,800 --> 01:37:06,559
Speaker 6: the previous segment, we didn't describe what it is. It's

2014
01:37:06,600 --> 01:37:10,080
Speaker 6: basically the it's called the it's it's a joke product.

2015
01:37:10,920 --> 01:37:11,360
Speaker 3: People laugh.

2016
01:37:11,680 --> 01:37:14,280
Speaker 6: It's like the inner core of the flesh light, which

2017
01:37:14,360 --> 01:37:16,400
Speaker 6: is like, okay, a flesh light if you're not familiar.

2018
01:37:16,720 --> 01:37:18,840
Speaker 6: You know, the sticky hand from the vending machine of

2019
01:37:18,920 --> 01:37:19,560
Speaker 6: the supermarkets.

2020
01:37:19,880 --> 01:37:22,200
Speaker 3: Trust that is that material.

2021
01:37:22,400 --> 01:37:26,679
Speaker 6: That's the material you put lubin in and it's squishy, okay,

2022
01:37:27,080 --> 01:37:31,280
Speaker 6: and and again just okay. As an experience had I

2023
01:37:31,360 --> 01:37:34,200
Speaker 6: got it's been in a drawer for years, right and

2024
01:37:34,280 --> 01:37:36,400
Speaker 6: I got it, uh for free, by the way, because

2025
01:37:36,400 --> 01:37:37,880
Speaker 6: I used to do a comedy show in a sex

2026
01:37:37,920 --> 01:37:38,839
Speaker 6: shop in Los Angeles.

2027
01:37:38,880 --> 01:37:42,200
Speaker 3: Wonderful show at the pleasure chests. But uh, I didn't

2028
01:37:42,240 --> 01:37:43,880
Speaker 3: pay for it, but so.

2029
01:37:43,920 --> 01:37:46,759
Speaker 1: Imagine I would have. It was on my list.

2030
01:37:47,080 --> 01:37:49,559
Speaker 11: I support the industry genuinely, sup.

2031
01:37:51,080 --> 01:37:53,320
Speaker 6: It's just it's a squishy core of a flesh light

2032
01:37:53,400 --> 01:37:55,760
Speaker 6: and then it's attached to a velcrow harness which is

2033
01:37:55,840 --> 01:37:59,720
Speaker 6: attached to like a big piece of metal machinery that

2034
01:37:59,720 --> 01:38:00,920
Speaker 6: that moves it up and down.

2035
01:38:01,760 --> 01:38:06,479
Speaker 3: And I'm like, I have hands, Yeah, I just And.

2036
01:38:06,400 --> 01:38:07,200
Speaker 1: Here's my pitch.

2037
01:38:07,360 --> 01:38:09,840
Speaker 8: Here's my pitch for an analog version of that is

2038
01:38:09,960 --> 01:38:12,799
Speaker 8: take one of the actual sticky hands that you actually

2039
01:38:12,880 --> 01:38:15,320
Speaker 8: stick on the window, and put some lube on that

2040
01:38:15,439 --> 01:38:15,960
Speaker 8: and put.

2041
01:38:15,880 --> 01:38:18,320
Speaker 1: Just hold that on the problem of your hand.

2042
01:38:18,439 --> 01:38:20,240
Speaker 8: And check that out that it's gonna feel like it's

2043
01:38:20,280 --> 01:38:21,360
Speaker 8: somebody else's hands.

2044
01:38:21,160 --> 01:38:22,640
Speaker 3: Here's here's what I would like.

2045
01:38:22,640 --> 01:38:27,879
Speaker 6: I would like a woman to stand across the room.

2046
01:38:31,080 --> 01:38:33,200
Speaker 2: I must I must also be clear, by the ways.

2047
01:38:33,280 --> 01:38:36,160
Speaker 2: So I looked up the handy too, and I just

2048
01:38:36,200 --> 01:38:39,639
Speaker 2: want to be clear. There are two SKUs. And there

2049
01:38:39,720 --> 01:38:42,200
Speaker 2: is the standard, which is one hour of battery life

2050
01:38:42,240 --> 01:38:44,960
Speaker 2: save sixty dollars launch price, and it's regularly two hundred

2051
01:38:44,960 --> 01:38:46,840
Speaker 2: and niney nine dollars. And then there's the five hours

2052
01:38:46,840 --> 01:38:47,840
Speaker 2: of battery.

2053
01:38:47,640 --> 01:38:49,599
Speaker 11: Oh, the cooner package.

2054
01:38:49,640 --> 01:38:52,559
Speaker 2: Yeah, three hundred and seventy nine dollars down four hundred

2055
01:38:52,560 --> 01:38:54,240
Speaker 2: and ninety nine. And you scroll out and it's like,

2056
01:38:54,640 --> 01:38:58,200
Speaker 2: we recommend the FoST charger handy, And I just got

2057
01:38:58,240 --> 01:39:03,320
Speaker 2: to ask how much you? How much you doing that? Yeah? Well,

2058
01:39:03,320 --> 01:39:08,320
Speaker 2: he purchased the award winning VR compatible Automatic stroker. Think,

2059
01:39:09,120 --> 01:39:10,160
Speaker 2: but isn't the isn't.

2060
01:39:10,000 --> 01:39:11,759
Speaker 3: The point of it V? It's VR.

2061
01:39:11,840 --> 01:39:15,200
Speaker 2: Come on, I mean, you're watching the poeos and all that,

2062
01:39:15,280 --> 01:39:16,920
Speaker 2: But but isn't the.

2063
01:39:16,920 --> 01:39:19,320
Speaker 6: Point of the device that it's supposed to be very fast,

2064
01:39:19,479 --> 01:39:20,759
Speaker 6: supposed to make you come fast?

2065
01:39:20,960 --> 01:39:21,320
Speaker 2: Really?

2066
01:39:21,800 --> 01:39:22,559
Speaker 3: I would think so.

2067
01:39:22,960 --> 01:39:24,880
Speaker 1: They should put it three four hours of battery life.

2068
01:39:24,960 --> 01:39:27,320
Speaker 12: Yeah, I know, I just they should use like most

2069
01:39:27,320 --> 01:39:29,000
Speaker 12: of that battery life for a little screen where you

2070
01:39:29,040 --> 01:39:31,679
Speaker 12: can watch some porn on it while you're gone.

2071
01:39:31,920 --> 01:39:35,120
Speaker 2: It's just really like people that don't have sex or

2072
01:39:35,200 --> 01:39:37,120
Speaker 2: jack off. It sounds like it's just like the least

2073
01:39:37,320 --> 01:39:38,280
Speaker 2: sexless people.

2074
01:39:38,439 --> 01:39:40,720
Speaker 8: I would love to know that the man who is

2075
01:39:41,760 --> 01:39:44,519
Speaker 8: horny enough to want to use the jack off machine,

2076
01:39:45,000 --> 01:39:48,160
Speaker 8: but so dedicated to tech that when he goes to

2077
01:39:48,200 --> 01:39:50,439
Speaker 8: pick up his jack off machine and the battery is dead,

2078
01:39:50,800 --> 01:39:52,920
Speaker 8: he goes, I have to put it on my fast

2079
01:39:53,080 --> 01:39:57,240
Speaker 8: charger now and wait for seven minutes for to give

2080
01:39:57,360 --> 01:39:58,759
Speaker 8: up battery life to make.

2081
01:39:58,680 --> 01:40:01,240
Speaker 2: Me come to thing his fo like sonic a hedgehog

2082
01:40:01,840 --> 01:40:02,320
Speaker 2: sitting on.

2083
01:40:02,400 --> 01:40:05,120
Speaker 1: His hands, being like, there's no other way to do this?

2084
01:40:05,479 --> 01:40:11,760
Speaker 2: Does this ever happened to you? It's just I must

2085
01:40:11,800 --> 01:40:14,960
Speaker 2: be This is a sex positive podcast. It's great, sex wonderful.

2086
01:40:15,000 --> 01:40:18,799
Speaker 2: It's a great thing between consenting adults and wife fu tubes,

2087
01:40:18,840 --> 01:40:22,080
Speaker 2: I guess. And it's just very strange to look at

2088
01:40:22,120 --> 01:40:24,759
Speaker 2: another product on the show is just like an alien

2089
01:40:24,840 --> 01:40:28,240
Speaker 2: made this, Like what what do you need? You can't

2090
01:40:28,320 --> 01:40:30,479
Speaker 2: jack off? I guess, or you really want to. And

2091
01:40:30,560 --> 01:40:34,320
Speaker 2: also I just feel like just there's a masturbata that's

2092
01:40:34,360 --> 01:40:37,040
Speaker 2: a great thing to say. I just feel like picking

2093
01:40:37,080 --> 01:40:40,800
Speaker 2: this thing up, I would just be consumed with shame immediately.

2094
01:40:41,360 --> 01:40:43,800
Speaker 2: The only thing would make me more ashamed would be

2095
01:40:43,840 --> 01:40:47,439
Speaker 2: if it was out of battery. Mm hmm, you're like, fuck,

2096
01:40:47,600 --> 01:40:50,760
Speaker 2: I've used it. Yeah, just like I'm too into this.

2097
01:40:51,280 --> 01:40:53,680
Speaker 6: See now, this this is my pet peeve because I

2098
01:40:53,680 --> 01:40:55,559
Speaker 6: think when you see be consumed with the shame, you're

2099
01:40:55,600 --> 01:40:58,880
Speaker 6: ashamed of your own sexuality. Yet that's what's happening, is

2100
01:40:58,920 --> 01:41:01,160
Speaker 6: you as you are a shamed the idea of masturbating

2101
01:41:01,200 --> 01:41:01,719
Speaker 6: with a device.

2102
01:41:01,840 --> 01:41:04,880
Speaker 2: Why why Because my hands can do it perfectly fine,

2103
01:41:05,000 --> 01:41:05,800
Speaker 2: that's I can have.

2104
01:41:06,760 --> 01:41:07,320
Speaker 3: Why shame?

2105
01:41:07,400 --> 01:41:07,559
Speaker 2: Why?

2106
01:41:07,680 --> 01:41:08,120
Speaker 1: Why shame?

2107
01:41:08,160 --> 01:41:08,439
Speaker 8: Why not?

2108
01:41:08,560 --> 01:41:10,920
Speaker 1: Why not amusement? If your hands can do it perfectly fine,

2109
01:41:11,000 --> 01:41:11,600
Speaker 1: Like I just.

2110
01:41:11,720 --> 01:41:13,719
Speaker 2: Well already we're in this weird world where I wouldn't

2111
01:41:13,760 --> 01:41:14,040
Speaker 2: buy it.

2112
01:41:14,520 --> 01:41:16,719
Speaker 1: Yeah, Like so it's just would you feel a shamed

2113
01:41:17,240 --> 01:41:17,960
Speaker 1: not not a shame?

2114
01:41:18,000 --> 01:41:20,160
Speaker 8: Would you feel shame if you picked up a flash

2115
01:41:20,200 --> 01:41:21,439
Speaker 8: light if you were going to use a flash light?

2116
01:41:22,439 --> 01:41:24,600
Speaker 1: Or is the machine worse? No, I just feel the

2117
01:41:24,640 --> 01:41:25,600
Speaker 1: machine laughing at you.

2118
01:41:26,520 --> 01:41:28,640
Speaker 11: I just have never seen this.

2119
01:41:28,880 --> 01:41:30,519
Speaker 2: We're now going on the show, or just that one's like,

2120
01:41:30,640 --> 01:41:33,719
Speaker 2: how does that jack off? It's just like the idea

2121
01:41:33,720 --> 01:41:37,800
Speaker 2: of the unnecessary. To me, I don't like something else.

2122
01:41:38,520 --> 01:41:43,080
Speaker 6: That's because maybe the male sex toy is not a

2123
01:41:43,600 --> 01:41:47,960
Speaker 6: jerk off device, because we can do that perfect. The

2124
01:41:48,280 --> 01:41:50,360
Speaker 6: real male sex toy is a butt plug, and men

2125
01:41:50,400 --> 01:41:54,280
Speaker 6: won't buy them. That's it's prostate stimulation.

2126
01:41:54,439 --> 01:41:56,639
Speaker 11: Yeah, that is you know if you like that, that's

2127
01:41:56,680 --> 01:41:57,240
Speaker 11: fucking cool.

2128
01:41:57,320 --> 01:41:59,880
Speaker 2: I like, my problem isn't And you know what, maybe

2129
01:42:00,000 --> 01:42:01,880
Speaker 2: as a guy who just like he's like a sex

2130
01:42:02,000 --> 01:42:04,200
Speaker 2: guy and he likes all the different kinds, Fine, that

2131
01:42:04,320 --> 01:42:06,479
Speaker 2: sounds fine. I just think like if I got a

2132
01:42:06,560 --> 01:42:08,800
Speaker 2: machine that was out of batteries for jacket off and

2133
01:42:08,920 --> 01:42:11,720
Speaker 2: it was unpowdered, be like, I've been doing this a lot,

2134
01:42:11,800 --> 01:42:13,000
Speaker 2: haven't I do?

2135
01:42:13,160 --> 01:42:15,400
Speaker 12: The do the sex toys have big useless numbers too?

2136
01:42:15,880 --> 01:42:20,400
Speaker 12: Oh god, I wonder if you haven't been coming lately.

2137
01:42:22,400 --> 01:42:23,639
Speaker 3: You haven't you come?

2138
01:42:23,720 --> 01:42:24,559
Speaker 1: Wait and see.

2139
01:42:27,160 --> 01:42:30,120
Speaker 8: The distance of time between when you begin to jack off.

2140
01:42:30,880 --> 01:42:33,439
Speaker 2: It's like a little prompter you okay, you haven't.

2141
01:42:35,280 --> 01:42:37,439
Speaker 1: And when you are off the baseline that.

2142
01:42:37,680 --> 01:42:40,400
Speaker 2: Is when you I'm actually looking out to see if

2143
01:42:40,439 --> 01:42:42,880
Speaker 2: there's any metrics that come discrete delivery, I.

2144
01:42:42,920 --> 01:42:44,639
Speaker 11: Mean discreet delivery.

2145
01:42:45,000 --> 01:42:45,519
Speaker 10: One nice.

2146
01:42:45,560 --> 01:42:47,800
Speaker 6: What if what if withings made a sex toy and

2147
01:42:47,880 --> 01:42:50,120
Speaker 6: then it tracked your you know what I mean, it

2148
01:42:50,200 --> 01:42:51,120
Speaker 6: gave you some stats.

2149
01:42:52,160 --> 01:42:55,720
Speaker 3: The gooners might like that some jerk off so.

2150
01:42:55,840 --> 01:42:59,360
Speaker 2: What yeah, like, oh, how about like a special watch for.

2151
01:42:59,479 --> 01:43:02,360
Speaker 3: Jerking on off that like Matt, you know, they have

2152
01:43:02,520 --> 01:43:05,639
Speaker 3: like a stat line. It lets you know how efficient

2153
01:43:05,680 --> 01:43:06,439
Speaker 3: you're being and.

2154
01:43:06,520 --> 01:43:09,440
Speaker 1: How much time you spend, like you know, how on treadmills.

2155
01:43:09,520 --> 01:43:12,000
Speaker 8: You can follow the little workouts where it like shows

2156
01:43:12,040 --> 01:43:14,280
Speaker 8: it it's like it's gonna get faster now, and then

2157
01:43:14,320 --> 01:43:16,200
Speaker 8: the treadmill goes faster, you have to run faster, and

2158
01:43:16,240 --> 01:43:18,200
Speaker 8: then it's like now it's slower. If you're if you

2159
01:43:18,320 --> 01:43:20,160
Speaker 8: had a little like if you had a little gooning

2160
01:43:20,280 --> 01:43:23,760
Speaker 8: workout line where it could be like go faster now,

2161
01:43:23,960 --> 01:43:25,599
Speaker 8: and then it's like slow down, so down, sow down,

2162
01:43:25,640 --> 01:43:27,680
Speaker 8: sow down, and you like follow your little workouts.

2163
01:43:27,800 --> 01:43:28,160
Speaker 4: I mean.

2164
01:43:30,880 --> 01:43:33,040
Speaker 3: You're describing joy videos.

2165
01:43:35,439 --> 01:43:36,400
Speaker 2: I just want to read something.

2166
01:43:36,640 --> 01:43:38,920
Speaker 3: It's a really good form of video porn.

2167
01:43:39,040 --> 01:43:41,120
Speaker 6: I think those are like it's very kind of wholesome

2168
01:43:41,439 --> 01:43:43,360
Speaker 6: because it's sort of like I want someone.

2169
01:43:43,120 --> 01:43:46,320
Speaker 11: To instruct there's a relations there's.

2170
01:43:46,160 --> 01:43:48,040
Speaker 3: A relationship about the jerking off.

2171
01:43:48,360 --> 01:43:49,719
Speaker 2: I just want to be clear. There is a button

2172
01:43:49,760 --> 01:43:52,400
Speaker 2: on this website to lead you to various videos. It

2173
01:43:52,439 --> 01:43:56,160
Speaker 2: says explore the handy verse and handy verse. I don't

2174
01:43:56,240 --> 01:43:58,000
Speaker 2: feel great having read that.

2175
01:43:58,160 --> 01:44:00,680
Speaker 8: The greatest sin that Mark Zuckerberg has committed on the

2176
01:44:00,720 --> 01:44:01,599
Speaker 8: phase of this planet.

2177
01:44:01,960 --> 01:44:07,320
Speaker 1: He's giving us blank verse. We got that done. I'm close.

2178
01:44:07,479 --> 01:44:10,559
Speaker 11: We got the handy verse with sixty nine.

2179
01:44:10,800 --> 01:44:14,120
Speaker 2: What actually, oddly, like, what is handy feeling? There's like

2180
01:44:14,200 --> 01:44:16,080
Speaker 2: a whole thing and I'm like coming around to this,

2181
01:44:16,240 --> 01:44:18,200
Speaker 2: like this isn't for me, but I'm like, okay, if

2182
01:44:18,240 --> 01:44:21,120
Speaker 2: someone's a real beat offerer, like this is quite nice.

2183
01:44:21,600 --> 01:44:21,920
Speaker 3: I don't know.

2184
01:44:22,240 --> 01:44:24,000
Speaker 6: The reason I feel shame is because I feel like

2185
01:44:24,080 --> 01:44:26,280
Speaker 6: we're falling for it because this is a gag product.

2186
01:44:26,960 --> 01:44:27,800
Speaker 3: We're talking about it.

2187
01:44:27,920 --> 01:44:29,639
Speaker 2: No, this is real. This is just like a real

2188
01:44:29,680 --> 01:44:30,599
Speaker 2: thing that charge in frint.

2189
01:44:30,640 --> 01:44:33,400
Speaker 3: It exists, but I don't think it serves it's to

2190
01:44:33,520 --> 01:44:37,400
Speaker 3: laugh at it. Cees and devices know if I agree.

2191
01:44:37,600 --> 01:44:40,640
Speaker 2: Like, here's the thing. Woman sex toys very well documented

2192
01:44:40,720 --> 01:44:42,320
Speaker 2: and used and talked about quite.

2193
01:44:42,240 --> 01:44:44,000
Speaker 1: You've seen pictures of them, yeah, very.

2194
01:44:44,200 --> 01:44:46,880
Speaker 2: Also like women discussed them. I feel like, Adam, You're

2195
01:44:46,960 --> 01:44:48,880
Speaker 2: like one of the only men I've talked to about

2196
01:44:48,920 --> 01:44:51,720
Speaker 2: sex who's just not immediately Yeah, I've had it like

2197
01:44:51,880 --> 01:44:54,800
Speaker 2: one million times, but I can't discuss it at all. Yeah,

2198
01:44:55,200 --> 01:44:57,280
Speaker 2: but it's like I believe that, like, there are men

2199
01:44:57,320 --> 01:44:58,960
Speaker 2: who jack off in this man, I'm good on them

2200
01:44:59,000 --> 01:45:02,040
Speaker 2: as long as it's like normal and consensual, and like.

2201
01:45:02,840 --> 01:45:05,240
Speaker 3: I could be wrong. I just don't believe in this product.

2202
01:45:05,280 --> 01:45:06,680
Speaker 3: I believe in sex toys for men.

2203
01:45:06,720 --> 01:45:09,760
Speaker 6: I believe they're underrepresented a category, but I believe where

2204
01:45:09,880 --> 01:45:12,519
Speaker 6: this product is situated in the hall and the way

2205
01:45:12,640 --> 01:45:13,600
Speaker 6: that they have designed it.

2206
01:45:14,920 --> 01:45:16,120
Speaker 3: Yeah, yes, Okay.

2207
01:45:22,280 --> 01:45:24,200
Speaker 11: The only one I saw was the love Sense one,

2208
01:45:24,240 --> 01:45:26,160
Speaker 11: which was the vibrators. I was like, okay, I saw

2209
01:45:26,200 --> 01:45:28,240
Speaker 11: that last year also, so I was like, okay, that's

2210
01:45:28,240 --> 01:45:28,640
Speaker 11: the one I know.

2211
01:45:28,800 --> 01:45:31,120
Speaker 6: It's in the Eureka Hall and it's sort of position

2212
01:45:31,360 --> 01:45:34,720
Speaker 6: it's like meant to make you laugh. And I think

2213
01:45:34,760 --> 01:45:36,599
Speaker 6: it's a five hundred dollars back big.

2214
01:45:36,880 --> 01:45:39,320
Speaker 2: But was it a big it was it a big booth?

2215
01:45:39,360 --> 01:45:41,840
Speaker 3: They had a big booth, then that's a real company.

2216
01:45:41,600 --> 01:45:44,439
Speaker 1: Because well, look, men called it big, women call it.

2217
01:45:45,520 --> 01:45:50,639
Speaker 2: Yeah, it's just a regular size nice. Yeah, but that's

2218
01:45:50,640 --> 01:45:52,360
Speaker 2: the thing. If they have a regular sized booth.

2219
01:45:54,760 --> 01:45:56,639
Speaker 1: It's a perfectly normal sized booth.

2220
01:45:57,280 --> 01:46:03,120
Speaker 2: It's a good get biga during the show, if like

2221
01:46:03,280 --> 01:46:05,479
Speaker 2: that's a real company, because otherwise it's just like, yeah,

2222
01:46:05,479 --> 01:46:07,760
Speaker 2: we've one hundred thousand dollars in the jack Off booth.

2223
01:46:08,400 --> 01:46:09,960
Speaker 2: I do, I do? Let the idea has spoken of,

2224
01:46:10,040 --> 01:46:10,679
Speaker 2: I can have a goat.

2225
01:46:12,040 --> 01:46:13,800
Speaker 1: Hey, come on over to the jack Off booth.

2226
01:46:14,560 --> 01:46:18,800
Speaker 11: Come in, Uh, everyway, both anyway in the booth for you.

2227
01:46:19,000 --> 01:46:20,799
Speaker 2: We're going to segue away from this, right.

2228
01:46:21,080 --> 01:46:23,360
Speaker 8: Here's a question that is sort of off of this theme.

2229
01:46:23,720 --> 01:46:25,520
Speaker 8: As a Cees virgin.

2230
01:46:25,560 --> 01:46:28,240
Speaker 1: Right not to really lean into this kind of language.

2231
01:46:29,520 --> 01:46:32,960
Speaker 8: Uh, how many of these products, Like, there are a

2232
01:46:33,080 --> 01:46:37,200
Speaker 8: lot of products that seemed absolutely fucking useless. Yes, And

2233
01:46:37,760 --> 01:46:41,000
Speaker 8: what I don't know is how many of the people

2234
01:46:41,080 --> 01:46:44,960
Speaker 8: who are here earnestly believe that what they are hawking

2235
01:46:45,520 --> 01:46:47,200
Speaker 8: is going to make the world better in some way,

2236
01:46:48,080 --> 01:46:51,280
Speaker 8: and how many people like what what is the percentage

2237
01:46:51,280 --> 01:46:52,960
Speaker 8: split between earnest believers?

2238
01:46:53,640 --> 01:46:54,920
Speaker 1: Uh, people who are here for.

2239
01:46:54,960 --> 01:46:57,320
Speaker 8: A paycheck because they need a job and this happens

2240
01:46:57,320 --> 01:46:59,519
Speaker 8: to be the job they're doing, and people who are

2241
01:46:59,640 --> 01:47:02,799
Speaker 8: totally disillusioned but are still doing it for the paycheck,

2242
01:47:02,880 --> 01:47:04,519
Speaker 8: but like, are are totally jaded?

2243
01:47:04,680 --> 01:47:05,639
Speaker 1: I would be curious.

2244
01:47:05,760 --> 01:47:08,280
Speaker 2: I think what it is is like you get a job.

2245
01:47:08,479 --> 01:47:10,759
Speaker 2: It's hard getting a job, and you get the product,

2246
01:47:10,800 --> 01:47:12,760
Speaker 2: and it's like, well, I gotta fucking believe in something.

2247
01:47:12,840 --> 01:47:15,080
Speaker 2: So you learn the talking points and you're like the

2248
01:47:15,160 --> 01:47:17,720
Speaker 2: pillow thing you were talking about last piece, It's like

2249
01:47:18,040 --> 01:47:20,360
Speaker 2: that person clearly had never had a conversation with someone

2250
01:47:20,360 --> 01:47:21,720
Speaker 2: who's like, yeah, but what if I want to lie

2251
01:47:21,760 --> 01:47:24,000
Speaker 2: in bed without falling asleep? Because they've memorize the talking

2252
01:47:24,040 --> 01:47:26,320
Speaker 2: points and they've internalize them. I'm sure that there are

2253
01:47:26,680 --> 01:47:29,200
Speaker 2: a percentage of cynical people, but I think a lot

2254
01:47:29,240 --> 01:47:31,000
Speaker 2: of these people have just like not thought about it

2255
01:47:31,080 --> 01:47:33,600
Speaker 2: too much. They're like, yeah, the air purifier with the

2256
01:47:33,680 --> 01:47:36,240
Speaker 2: spike on it, the dog scratches itself on. That makes

2257
01:47:36,240 --> 01:47:38,400
Speaker 2: perfect sense because I've been forced to believe it because

2258
01:47:38,439 --> 01:47:40,560
Speaker 2: this is how I make money. And I think that

2259
01:47:40,680 --> 01:47:43,760
Speaker 2: there's something kind of sad about it because you have

2260
01:47:43,920 --> 01:47:46,920
Speaker 2: to believe. I mean like there's a certain degree at

2261
01:47:46,960 --> 01:47:50,000
Speaker 2: times when you get a product. I don't do consumer electronics,

2262
01:47:50,040 --> 01:47:51,320
Speaker 2: but like in the past where I've had to be

2263
01:47:51,439 --> 01:47:55,840
Speaker 2: like yay, even go, it's like it's gonna pay mortgage. Like,

2264
01:47:56,439 --> 01:47:57,720
Speaker 2: I think that that's a degree of that. And I

2265
01:47:57,800 --> 01:48:00,439
Speaker 2: think some people just fucking stupid. I think some people

2266
01:48:00,479 --> 01:48:03,800
Speaker 2: are just like, yeah, they said they isn't it cool

2267
01:48:03,840 --> 01:48:05,639
Speaker 2: it can do this? And they focus on how cool

2268
01:48:05,680 --> 01:48:08,000
Speaker 2: it is. And then when they think two sex and

2269
01:48:08,000 --> 01:48:10,400
Speaker 2: they go, oh, fuck, this is one alien would use.

2270
01:48:10,920 --> 01:48:13,280
Speaker 2: This is like it's just like stall Trek accept nothing

2271
01:48:13,360 --> 01:48:13,519
Speaker 2: like it.

2272
01:48:13,760 --> 01:48:14,000
Speaker 3: I think.

2273
01:48:14,080 --> 01:48:14,120
Speaker 8: So.

2274
01:48:15,160 --> 01:48:16,559
Speaker 3: I also think a lot of them are just happy

2275
01:48:16,640 --> 01:48:17,920
Speaker 3: to like do the job.

2276
01:48:18,160 --> 01:48:18,360
Speaker 2: Yeah.

2277
01:48:18,400 --> 01:48:21,280
Speaker 6: You know, like when I went to the ORB thing,

2278
01:48:21,439 --> 01:48:24,200
Speaker 6: my ORB debacle, all the people I told, well, whatever,

2279
01:48:24,360 --> 01:48:26,200
Speaker 6: people know about it or they don't. But when I

2280
01:48:26,280 --> 01:48:29,800
Speaker 6: talk to people who work for this horrible product, like

2281
01:48:30,560 --> 01:48:32,680
Speaker 6: some of them seemed kind of enthusiastics. Some of them

2282
01:48:32,720 --> 01:48:35,800
Speaker 6: sort of had thousand yard stairs yeah, where where I

2283
01:48:36,120 --> 01:48:38,760
Speaker 6: was talking and going like, ah, they're making like three

2284
01:48:38,880 --> 01:48:41,720
Speaker 6: hundred grand a year probably yeah, working for like a

2285
01:48:41,840 --> 01:48:45,920
Speaker 6: sam Altman company doing interesting work. Like they're like they

2286
01:48:46,000 --> 01:48:48,320
Speaker 6: wanted to be an engineer. They're a software engineer. They're

2287
01:48:48,320 --> 01:48:51,720
Speaker 6: working on something that's tech technically interesting. They would like

2288
01:48:51,840 --> 01:48:53,519
Speaker 6: for it to work. They sort of have to drink

2289
01:48:53,560 --> 01:48:55,679
Speaker 6: the kool at exactly in the same way that someone

2290
01:48:55,720 --> 01:48:57,880
Speaker 6: who's like working on a shitty movie.

2291
01:48:58,240 --> 01:49:00,400
Speaker 3: Is like I'm living the drink. All the movie kind

2292
01:49:00,400 --> 01:49:01,599
Speaker 3: of sucks, but I'm living the dream.

2293
01:49:01,640 --> 01:49:02,680
Speaker 2: But you're gonna be good.

2294
01:49:02,720 --> 01:49:05,559
Speaker 3: It's gonna be good. I'm making movies like it's this. Yeah,

2295
01:49:05,600 --> 01:49:07,320
Speaker 3: that makes suspension of disbelief.

2296
01:49:07,520 --> 01:49:10,479
Speaker 2: But I respect people of movies way more. Like, just

2297
01:49:10,520 --> 01:49:13,160
Speaker 2: do want to be clear, Like learning about how movies

2298
01:49:13,200 --> 01:49:15,880
Speaker 2: are made. Recently, it's insane a single movie has ever

2299
01:49:15,960 --> 01:49:18,920
Speaker 2: been made. Yeah, I do not understand how any movie

2300
01:49:19,000 --> 01:49:19,320
Speaker 2: is made.

2301
01:49:19,400 --> 01:49:20,639
Speaker 3: Well they're not made anymore.

2302
01:49:20,760 --> 01:49:23,599
Speaker 2: Well, yeah, that's that's also the other thing. No, they're

2303
01:49:23,640 --> 01:49:25,760
Speaker 2: either one hundred million dollars or one million dollars.

2304
01:49:26,400 --> 01:49:28,640
Speaker 6: The movies when you watch movies now, like I you know,

2305
01:49:28,680 --> 01:49:30,880
Speaker 6: I was watching like Rob Ryner movies because he passed away,

2306
01:49:30,920 --> 01:49:33,400
Speaker 6: of course, and watched like Harry Met Salary another movie

2307
01:49:33,479 --> 01:49:37,080
Speaker 6: like that. It's like walking through like the ruins of

2308
01:49:37,160 --> 01:49:40,160
Speaker 6: like a Roman Colisseum in the Dark Age is like

2309
01:49:40,240 --> 01:49:41,560
Speaker 6: look at what humans.

2310
01:49:41,240 --> 01:49:43,080
Speaker 2: Used to be able to do, Like it's and then

2311
01:49:43,120 --> 01:49:45,640
Speaker 2: you watch Stranger Things and there's a big crab and

2312
01:49:45,760 --> 01:49:48,040
Speaker 2: win on a Ryder punches it to death. You just

2313
01:49:48,439 --> 01:49:52,760
Speaker 2: I don't watch that show strange enough already and it's

2314
01:49:52,920 --> 01:49:57,160
Speaker 2: just sad. But I think I think movies are gonna be. Okay,

2315
01:49:57,160 --> 01:49:58,880
Speaker 2: I'm choosing to be optimistic for no reason.

2316
01:49:59,160 --> 01:50:01,479
Speaker 8: Yeah, yeah, I mean that's a sort of a whole

2317
01:50:01,680 --> 01:50:04,479
Speaker 8: separate yet whole other conversation. But I do think that

2318
01:50:04,640 --> 01:50:08,560
Speaker 8: there's a lot of people who would say, like the

2319
01:50:08,640 --> 01:50:11,840
Speaker 8: same people who are who are who.

2320
01:50:11,840 --> 01:50:13,880
Speaker 1: See movies as sort of the dinosaurs, the things of

2321
01:50:13,920 --> 01:50:14,280
Speaker 1: the past.

2322
01:50:14,360 --> 01:50:17,600
Speaker 8: Are the people who see a lot of shit at CST,

2323
01:50:17,920 --> 01:50:20,000
Speaker 8: who sort of willingly drink the kool aid of a

2324
01:50:20,040 --> 01:50:21,960
Speaker 8: lot of the shit at CEES and are like, this

2325
01:50:22,160 --> 01:50:24,840
Speaker 8: is the stuff of the future without actually even being

2326
01:50:24,880 --> 01:50:25,719
Speaker 8: paid three hundred.

2327
01:50:25,479 --> 01:50:27,679
Speaker 2: Thousand dollars by the company because they want to be first.

2328
01:50:28,160 --> 01:50:30,840
Speaker 8: They want to, but they sort of have gotten on

2329
01:50:31,000 --> 01:50:34,160
Speaker 8: the roller coaster of they're addicted to the high of

2330
01:50:34,920 --> 01:50:37,920
Speaker 8: u the possibility of success, the newness.

2331
01:50:38,240 --> 01:50:38,439
Speaker 2: Yeah.

2332
01:50:38,560 --> 01:50:41,280
Speaker 6: I mean, I remember when it was over ten years

2333
01:50:41,280 --> 01:50:42,920
Speaker 6: ago now, but I was working at College Humor and

2334
01:50:42,920 --> 01:50:45,200
Speaker 6: stuff like Google Glass would come out and.

2335
01:50:45,439 --> 01:50:47,680
Speaker 3: My coworkers would be like, it's it's gonna be.

2336
01:50:47,760 --> 01:50:50,320
Speaker 6: The future and just based on the premise alone, and

2337
01:50:50,400 --> 01:50:52,880
Speaker 6: I have to be like I don't think so, yeah's right,

2338
01:50:53,200 --> 01:50:54,320
Speaker 6: same thing happened with the VR.

2339
01:50:54,680 --> 01:50:58,240
Speaker 8: You know you wait, Adam, Google Glass is coming, ray

2340
01:50:58,360 --> 01:50:59,560
Speaker 8: Ban Meta glasses.

2341
01:51:00,320 --> 01:51:02,920
Speaker 6: People were so they had the script in them for

2342
01:51:03,360 --> 01:51:05,280
Speaker 6: I think, you know, and they want it to be true.

2343
01:51:05,280 --> 01:51:06,920
Speaker 6: They just want something new that's gonna be fun.

2344
01:51:07,080 --> 01:51:09,439
Speaker 12: I also, I'd be curious what you think, because you

2345
01:51:09,560 --> 01:51:11,439
Speaker 12: know you've been coming to see us for a while.

2346
01:51:11,920 --> 01:51:15,280
Speaker 12: How much of it is Also people at a firm

2347
01:51:15,560 --> 01:51:20,040
Speaker 12: that tried to sell something to another business and it failed,

2348
01:51:20,080 --> 01:51:21,479
Speaker 12: and now they're doing consumer because I feel like I

2349
01:51:21,520 --> 01:51:23,519
Speaker 12: would talk to some people, especially in Eureka Park, and

2350
01:51:24,920 --> 01:51:26,600
Speaker 12: they wouldn't say it, but you could hear in the

2351
01:51:26,720 --> 01:51:29,439
Speaker 12: conversation that there was a much more ambitious plan and

2352
01:51:29,520 --> 01:51:33,080
Speaker 12: that fell through, and now they're winning to something else

2353
01:51:33,160 --> 01:51:34,960
Speaker 12: that a consumer might be able to use.

2354
01:51:35,000 --> 01:51:37,320
Speaker 2: It's the raw economy, baby, It's growth of all costs.

2355
01:51:37,320 --> 01:51:40,120
Speaker 2: Because if you solve a small, boring problem for a

2356
01:51:40,160 --> 01:51:43,120
Speaker 2: million people, that fucking rocks, is that gonna be worth

2357
01:51:43,200 --> 01:51:45,840
Speaker 2: ten billion dollars new you're gonna be able to take

2358
01:51:45,880 --> 01:51:47,880
Speaker 2: that public? No, you can sell it to enough company. No,

2359
01:51:48,120 --> 01:51:50,840
Speaker 2: But if you say I'm gonna solve fucking everything, forever

2360
01:51:51,160 --> 01:51:53,479
Speaker 2: you get hundreds of millions of dollars because you've just

2361
01:51:53,600 --> 01:51:57,920
Speaker 2: over promised and being part of this newness futuristic thing

2362
01:51:58,080 --> 01:52:00,880
Speaker 2: and vaguely attaching yourself to it. If you're wrong, you

2363
01:52:00,920 --> 01:52:02,640
Speaker 2: can say, oh, it is experimental. If you're right, you

2364
01:52:02,640 --> 01:52:04,000
Speaker 2: can say I was fissed.

2365
01:52:04,360 --> 01:52:07,240
Speaker 8: Yeah. But and that's sort of to what Adam was

2366
01:52:07,280 --> 01:52:11,200
Speaker 8: saying about, you know, wanting it's my language now, like

2367
01:52:11,240 --> 01:52:13,320
Speaker 8: wanting the possibility of success addicted to the high of

2368
01:52:13,360 --> 01:52:16,080
Speaker 8: that possibility. But everyone you were saying, I think you're

2369
01:52:16,080 --> 01:52:19,519
Speaker 8: saying like the U when you're saying that they had

2370
01:52:19,560 --> 01:52:21,400
Speaker 8: a more ambitious plan. Do you mean they had a

2371
01:52:21,479 --> 01:52:23,960
Speaker 8: more ambitious plan for what the tech itself could be

2372
01:52:24,040 --> 01:52:25,960
Speaker 8: capable of or do you mean like they've had They've

2373
01:52:26,000 --> 01:52:28,080
Speaker 8: figured out a tech that is capable of whatever it is,

2374
01:52:28,479 --> 01:52:30,880
Speaker 8: and the ambitious plan was to use it in a

2375
01:52:31,040 --> 01:52:34,040
Speaker 8: much broader use case or a much higher scale use case.

2376
01:52:34,080 --> 01:52:36,600
Speaker 8: And now they've sort of been like shunted down to

2377
01:52:37,240 --> 01:52:39,400
Speaker 8: a bof a ces where they're trying to make somebody

2378
01:52:39,439 --> 01:52:40,360
Speaker 8: pay six hundred dollars.

2379
01:52:40,439 --> 01:52:43,120
Speaker 12: It feels like they thought the idea was worth ten

2380
01:52:43,479 --> 01:52:46,400
Speaker 12: x what it actually is. An example, I mean, I

2381
01:52:47,280 --> 01:52:49,439
Speaker 12: saw it a lot more last year where it would

2382
01:52:49,479 --> 01:52:53,880
Speaker 12: be people talking about tech that would be that's helpful

2383
01:52:53,920 --> 01:52:57,240
Speaker 12: assistive tech, but their initial formulation of it seemed to

2384
01:52:57,320 --> 01:52:59,080
Speaker 12: be we are going to apply this at scale and

2385
01:52:59,160 --> 01:53:01,719
Speaker 12: workplaces to augment your.

2386
01:53:01,680 --> 01:53:05,439
Speaker 2: Productive for like standing up the thing for opening the

2387
01:53:05,520 --> 01:53:06,200
Speaker 2: cash rep.

2388
01:53:06,560 --> 01:53:08,519
Speaker 12: Right, you know, something like that, where it's like not

2389
01:53:08,960 --> 01:53:12,960
Speaker 12: even really clear that would be adopted at an individual scale.

2390
01:53:13,080 --> 01:53:14,720
Speaker 2: Well, so that one really pissed me off because it's like,

2391
01:53:14,720 --> 01:53:17,559
Speaker 2: you don't give a fuck about anyone, you don't love

2392
01:53:17,640 --> 01:53:20,360
Speaker 2: them in the eye, No, you were excited about touching

2393
01:53:20,400 --> 01:53:22,559
Speaker 2: a screen towards it treats you little.

2394
01:53:22,600 --> 01:53:22,720
Speaker 5: You know.

2395
01:53:22,840 --> 01:53:24,840
Speaker 12: It feels like it's like we wanted to sell this

2396
01:53:24,960 --> 01:53:27,160
Speaker 12: ad scale to like McDonald's at a bunch of other

2397
01:53:27,360 --> 01:53:29,280
Speaker 12: fast food restaurants, and that didn't work. So now we

2398
01:53:29,400 --> 01:53:32,000
Speaker 12: are cobbling together some of the IP to figure out

2399
01:53:32,040 --> 01:53:37,439
Speaker 12: another approach that might be usable in smaller UH settings.

2400
01:53:37,439 --> 01:53:40,240
Speaker 12: And I feel like, you know, when I talk with people,

2401
01:53:40,320 --> 01:53:44,120
Speaker 12: especially in some of the assistive tech, you know, where

2402
01:53:44,720 --> 01:53:46,360
Speaker 12: they're not really talking about it in the way of

2403
01:53:46,760 --> 01:53:49,120
Speaker 12: we're helping people who are disabled or helping people who

2404
01:53:49,200 --> 01:53:53,120
Speaker 12: need mobility it's it's it's it's almost adjacent to or

2405
01:53:53,920 --> 01:53:56,080
Speaker 12: sounding just like how we talk about convenience.

2406
01:53:56,280 --> 01:53:58,800
Speaker 2: Yeah, you know, did you see anything today that was

2407
01:53:59,000 --> 01:53:59,519
Speaker 2: of note?

2408
01:53:59,760 --> 01:54:01,720
Speaker 12: Like I mean, most of the stuff that I saw

2409
01:54:01,800 --> 01:54:07,120
Speaker 12: today in Eureka Park wash more misuse of agentic language

2410
01:54:08,240 --> 01:54:11,519
Speaker 12: and saying oh no, let's you know what if you

2411
01:54:11,640 --> 01:54:15,920
Speaker 12: had a chat bought that you know, managed your home

2412
01:54:16,160 --> 01:54:18,760
Speaker 12: Google calendar and told you when to pick up your

2413
01:54:18,840 --> 01:54:21,080
Speaker 12: kids because you forgot, or you know, when we got

2414
01:54:22,000 --> 01:54:24,160
Speaker 12: because you don't give us ship. You know what, if

2415
01:54:24,160 --> 01:54:26,640
Speaker 12: you have something, I would look at your ship and

2416
01:54:26,760 --> 01:54:30,280
Speaker 12: tell you when you're sick or not sick.

2417
01:54:30,400 --> 01:54:31,800
Speaker 1: You mean literally your poop?

2418
01:54:31,920 --> 01:54:33,880
Speaker 11: Yeah, yeah, yeah, yeah no literally, yeah, you poop.

2419
01:54:34,120 --> 01:54:36,440
Speaker 2: That was one thing that Victoria. We didn't get to

2420
01:54:36,480 --> 01:54:38,960
Speaker 2: the piss poop. We go to the com sadly, but

2421
01:54:39,080 --> 01:54:42,040
Speaker 2: it was like there's a many different toilet measures. Now.

2422
01:54:42,240 --> 01:54:44,600
Speaker 3: Yeah, oh I saw a good product, yes, and I

2423
01:54:44,640 --> 01:54:46,920
Speaker 3: would describe it. I walked I saw this product, I

2424
01:54:47,000 --> 01:54:49,520
Speaker 3: looked at I immediately recognized what it was. I walked

2425
01:54:49,600 --> 01:54:49,960
Speaker 3: up to them.

2426
01:54:50,000 --> 01:54:52,720
Speaker 6: I said, fit Bit for your cat, and they said,

2427
01:54:53,880 --> 01:54:55,960
Speaker 6: that's what you know, fit Bit for your cat. You're

2428
01:54:56,000 --> 01:54:58,160
Speaker 6: going to sell that, and it's like a little food dish,

2429
01:54:58,400 --> 01:55:01,040
Speaker 6: food dish and a bubbler for your and then it like,

2430
01:55:01,080 --> 01:55:03,120
Speaker 6: I don't know, has some stats about your cat, and

2431
01:55:03,240 --> 01:55:05,760
Speaker 6: it said like here's how much food is left, here's

2432
01:55:05,760 --> 01:55:07,839
Speaker 6: the temperature of your cat, and then it just said healthy.

2433
01:55:08,120 --> 01:55:12,160
Speaker 3: Yes, and that's it's like, really, all the cat owners what.

2434
01:55:12,840 --> 01:55:14,960
Speaker 6: It's like, Well, could it could the box say my

2435
01:55:15,080 --> 01:55:17,560
Speaker 6: cat's healthy and it'll relieve my anxiety and.

2436
01:55:17,600 --> 01:55:20,080
Speaker 2: Your cat owner, yes, I have, I don't know, like

2437
01:55:20,160 --> 01:55:23,120
Speaker 2: and it's the only measurement is like how beautiful they

2438
01:55:23,160 --> 01:55:26,240
Speaker 2: are like that, which I remind them of constantly. I

2439
01:55:26,400 --> 01:55:28,760
Speaker 2: just how holt my cat is is very funny.

2440
01:55:28,840 --> 01:55:29,760
Speaker 11: Yeah, I got two cats.

2441
01:55:29,800 --> 01:55:31,880
Speaker 12: And it's like when I learned I got a I

2442
01:55:31,960 --> 01:55:34,320
Speaker 12: got one of the letter boxes, those automatic ones. When

2443
01:55:34,320 --> 01:55:35,760
Speaker 12: I learned there was an app, I asked them, can

2444
01:55:35,800 --> 01:55:36,160
Speaker 12: I do.

2445
01:55:36,200 --> 01:55:37,280
Speaker 9: I need app? Can I delete that?

2446
01:55:37,400 --> 01:55:38,640
Speaker 11: They're like yes, And I was like, okay, I will

2447
01:55:38,720 --> 01:55:40,840
Speaker 11: never look at this ship again. Yeah, And it works out.

2448
01:55:40,920 --> 01:55:44,560
Speaker 12: You know that anything that even wears other or has

2449
01:55:44,640 --> 01:55:45,840
Speaker 12: a little motor other than.

2450
01:55:45,760 --> 01:55:49,160
Speaker 9: The litter box, they destroy. They swat it, they throw.

2451
01:55:49,040 --> 01:55:51,360
Speaker 12: It down the stairs, they push it, they literally catch it.

2452
01:55:51,480 --> 01:55:54,080
Speaker 12: To the stairs and throw it down, so I can't

2453
01:55:54,080 --> 01:55:55,160
Speaker 12: get anything smart for them.

2454
01:55:55,280 --> 01:55:57,080
Speaker 2: I get a fit bit for a dog, though, because

2455
01:55:57,120 --> 01:56:00,120
Speaker 2: you like woke them. I would love to, actually, just

2456
01:56:00,360 --> 01:56:03,200
Speaker 2: for my sick pleasure, know how fast Barbo runs because

2457
01:56:03,280 --> 01:56:05,840
Speaker 2: him and his sister Pokey too bad. But no, they

2458
01:56:05,960 --> 01:56:07,840
Speaker 2: just they will be sleeping all day and then just

2459
01:56:07,920 --> 01:56:11,840
Speaker 2: run into bam, just fucking like across the entire house,

2460
01:56:12,240 --> 01:56:13,600
Speaker 2: gone back.

2461
01:56:14,080 --> 01:56:17,800
Speaker 1: They're trying to get their steps in exactly like just.

2462
01:56:17,920 --> 01:56:20,960
Speaker 2: Cats like don't experience the same things that human being, Like,

2463
01:56:21,000 --> 01:56:22,920
Speaker 2: they're not seeing that being, Like do I run around

2464
01:56:23,000 --> 01:56:24,920
Speaker 2: a lot? They get the instinct like I need to

2465
01:56:25,000 --> 01:56:27,600
Speaker 2: fucking run so fast in a straight line, fast than

2466
01:56:27,600 --> 01:56:29,280
Speaker 2: I've ever But it's not because they're like I need

2467
01:56:29,320 --> 01:56:32,400
Speaker 2: to be healthy. They just fucking cat Stop trying to

2468
01:56:32,480 --> 01:56:36,800
Speaker 2: optimize my cat. Bro, My cats. Cats are not optimal

2469
01:56:37,000 --> 01:56:39,640
Speaker 2: other than how beautiful and fancy they are and how

2470
01:56:39,680 --> 01:56:45,920
Speaker 2: beautiful I miss them, anything else, like it's just this.

2471
01:56:46,200 --> 01:56:48,120
Speaker 2: You're gonna be here for another two days. You're gonna

2472
01:56:48,120 --> 01:56:49,080
Speaker 2: see more stuff like this.

2473
01:56:49,400 --> 01:56:52,480
Speaker 12: But I'm general I saw something we all need and

2474
01:56:52,640 --> 01:56:56,720
Speaker 12: present ads inside of AI. How to put ads inside

2475
01:56:56,720 --> 01:57:00,320
Speaker 12: of chatbots, how to put ads inside of any sort

2476
01:57:00,480 --> 01:57:03,000
Speaker 12: of interface or product I might use the genitor of AI.

2477
01:57:04,080 --> 01:57:06,200
Speaker 2: It's so cool they haven't worked that out, I know.

2478
01:57:06,320 --> 01:57:06,480
Speaker 3: Yeah.

2479
01:57:06,520 --> 01:57:10,680
Speaker 2: That's also like the most obvious thing that they need

2480
01:57:10,760 --> 01:57:14,640
Speaker 2: it the way that they would monetize this fucking thing. Yeah,

2481
01:57:14,800 --> 01:57:17,640
Speaker 2: the one way to make the one way that every

2482
01:57:17,800 --> 01:57:20,360
Speaker 2: per I get three emails a week from someone being like,

2483
01:57:20,480 --> 01:57:24,680
Speaker 2: have you thought that they could put ads in chat jept? Yes, motherfucker,

2484
01:57:24,720 --> 01:57:27,760
Speaker 2: I've fucking thought. Every single time you've emailed me about this.

2485
01:57:27,960 --> 01:57:28,640
Speaker 2: I've thought about it.

2486
01:57:28,720 --> 01:57:30,040
Speaker 1: Do we know why they haven't yet?

2487
01:57:30,280 --> 01:57:32,680
Speaker 2: Because it's very hard to guarantee. The whole thing with

2488
01:57:32,760 --> 01:57:36,000
Speaker 2: ads is you need to have applicability and reliability and accountability.

2489
01:57:36,120 --> 01:57:38,600
Speaker 2: You cannot have your you can't have like an ad

2490
01:57:39,080 --> 01:57:41,840
Speaker 2: for a children's thing by someone looking up sex and

2491
01:57:42,040 --> 01:57:45,200
Speaker 2: vice versa. And the best example we have that this

2492
01:57:45,280 --> 01:57:48,200
Speaker 2: doesn't really work is Perplexity. Their ads chief left a

2493
01:57:48,200 --> 01:57:51,800
Speaker 2: few months ago and they made twenty thousand dollars selling

2494
01:57:51,840 --> 01:57:52,920
Speaker 2: ads in twenty twenty four.

2495
01:57:53,120 --> 01:57:56,000
Speaker 6: Plex They Yeah, I mean the needs of advertisers like

2496
01:57:56,280 --> 01:57:57,200
Speaker 6: determine everything.

2497
01:57:57,360 --> 01:58:00,400
Speaker 3: Yeah, Like you know, why does YouTube wor the way

2498
01:58:00,440 --> 01:58:01,760
Speaker 3: it work? Ninety percent of.

2499
01:58:01,800 --> 01:58:04,320
Speaker 6: YouTube is to please advertisers, so to make sure that

2500
01:58:04,960 --> 01:58:08,680
Speaker 6: you know, age verification, like content warnings, like all of

2501
01:58:08,720 --> 01:58:12,360
Speaker 6: it is just for them and like they'll sort of

2502
01:58:12,480 --> 01:58:14,840
Speaker 6: run the show. But also isn't part of the problem

2503
01:58:14,920 --> 01:58:18,640
Speaker 6: that like advertising is not enough money for you know,

2504
01:58:19,200 --> 01:58:21,880
Speaker 6: the massive amount of investments these companies are taking on, like.

2505
01:58:21,960 --> 01:58:24,680
Speaker 3: You put ads and chatgy, but you're saying enough, yeah, yeah,

2506
01:58:24,680 --> 01:58:27,080
Speaker 3: it won't sustain trillions.

2507
01:58:27,160 --> 01:58:28,880
Speaker 2: Well, the other problem they have is the information and

2508
01:58:28,960 --> 01:58:31,160
Speaker 2: a good story about this where it's like nine hundred

2509
01:58:31,160 --> 01:58:34,000
Speaker 2: million weekly active US is ish even though Opening Eye

2510
01:58:34,000 --> 01:58:35,880
Speaker 2: double counts people all the time. They admit this and

2511
01:58:35,960 --> 01:58:38,800
Speaker 2: they're on academic papers, but nevertheless only one hundred million

2512
01:58:38,800 --> 01:58:41,000
Speaker 2: if those are in America, which is a large number

2513
01:58:41,040 --> 01:58:44,600
Speaker 2: whatever whatever, But that means like they're mostly overseas who

2514
01:58:44,640 --> 01:58:47,720
Speaker 2: are lower value advertising plans, because there's a very big

2515
01:58:47,760 --> 01:58:51,800
Speaker 2: difference between to advertising someone in America versus in India

2516
01:58:51,920 --> 01:58:55,560
Speaker 2: or Indonesia where they release chat gpt go, which is

2517
01:58:55,560 --> 01:58:58,360
Speaker 2: the cheaper one, which will inevitably be advertising support it.

2518
01:58:58,920 --> 01:59:01,040
Speaker 2: And it's just like I do love that there are

2519
01:59:01,160 --> 01:59:03,080
Speaker 2: like different boots of people being like what if we

2520
01:59:03,120 --> 01:59:05,920
Speaker 2: could solve the problem the open Ai, Google, Perplexity, and

2521
01:59:06,200 --> 01:59:09,040
Speaker 2: multiple other companies just haven't been able to touch. It

2522
01:59:09,640 --> 01:59:11,720
Speaker 2: feels like watching the end of the world in a

2523
01:59:11,880 --> 01:59:13,200
Speaker 2: very boring way at times.

2524
01:59:13,440 --> 01:59:16,120
Speaker 8: Well, so that's what brings me back to my that

2525
01:59:16,440 --> 01:59:19,360
Speaker 8: brings me back to my question about how earnestly do

2526
01:59:19,440 --> 01:59:23,000
Speaker 8: these people believe in what they're pushing. Like are there

2527
01:59:23,040 --> 01:59:25,160
Speaker 8: people who are like, yeah, yeah, yeah, we are the

2528
01:59:25,600 --> 01:59:28,520
Speaker 8: we have the secret key, we are the geniuses. And

2529
01:59:28,960 --> 01:59:31,280
Speaker 8: sure would I be hired at Google if I was

2530
01:59:31,320 --> 01:59:35,160
Speaker 8: really a genius. Maybe, But that's not what we're talking about, right.

2531
01:59:35,640 --> 01:59:38,360
Speaker 6: I think that they at the very least considered themselves

2532
01:59:38,400 --> 01:59:40,960
Speaker 6: to have be the holder of a lottery ticket. Yeah,

2533
01:59:41,040 --> 01:59:44,000
Speaker 6: maybe it'll work. And if it works, I'm a billionaire.

2534
01:59:44,360 --> 01:59:46,880
Speaker 6: And if I can convince someone it kind of works,

2535
01:59:47,200 --> 01:59:50,320
Speaker 6: maybe I get Aqua hired by Google, and then I

2536
01:59:50,480 --> 01:59:53,280
Speaker 6: make half a million dollars yeah, you know, and like,

2537
01:59:53,400 --> 01:59:55,440
Speaker 6: and I only have to get to like, you know,

2538
01:59:55,640 --> 01:59:57,400
Speaker 6: next month to make that happen.

2539
01:59:57,600 --> 01:59:59,600
Speaker 3: I just got to convince some dopeoo's here right now.

2540
02:00:00,000 --> 02:00:02,040
Speaker 2: I believe all the TV people believe it fully, and

2541
02:00:02,120 --> 02:00:04,120
Speaker 2: I get it. And I'm a big dumb ape. I

2542
02:00:04,200 --> 02:00:05,400
Speaker 2: see a giant scream like.

2543
02:00:05,520 --> 02:00:08,080
Speaker 6: Yeah, baby, oh yeah, I want to see the TVs

2544
02:00:08,160 --> 02:00:11,720
Speaker 6: at this so goo and I got mad because I

2545
02:00:12,280 --> 02:00:14,440
Speaker 6: saw I think I was looking at the Vergis coverage

2546
02:00:14,520 --> 02:00:16,840
Speaker 6: or something, and there's a new TV technology that's better

2547
02:00:16,920 --> 02:00:21,480
Speaker 6: than I MINI bought the best. I bought the I

2548
02:00:21,560 --> 02:00:23,120
Speaker 6: bought the you know the one, the one really good

2549
02:00:23,160 --> 02:00:25,240
Speaker 6: Sony one. I got the really good Sony. I'm like,

2550
02:00:25,240 --> 02:00:27,160
Speaker 6: I don't want a fucking better TV. This is as

2551
02:00:27,200 --> 02:00:29,280
Speaker 6: good as TV's need to be. Seventy seven inches, it's

2552
02:00:29,320 --> 02:00:29,880
Speaker 6: true black.

2553
02:00:30,160 --> 02:00:30,440
Speaker 2: Stop.

2554
02:00:31,160 --> 02:00:31,480
Speaker 1: I don't know.

2555
02:00:31,560 --> 02:00:34,400
Speaker 2: Just to be clear, you'll you'll find they haven't really

2556
02:00:34,480 --> 02:00:35,280
Speaker 2: made better than that.

2557
02:00:35,520 --> 02:00:39,040
Speaker 3: Like I know it'll be in ten years. I'm still

2558
02:00:39,120 --> 02:00:39,800
Speaker 3: just like, stop it.

2559
02:00:40,480 --> 02:00:42,080
Speaker 1: I don't know if you're gonna have kids.

2560
02:00:42,160 --> 02:00:45,360
Speaker 8: But I've heard a couple of dad sentences, both in

2561
02:00:45,440 --> 02:00:47,960
Speaker 8: this TV discussion and earlier when you were like, now

2562
02:00:48,080 --> 02:00:49,480
Speaker 8: I saw a good product.

2563
02:00:50,880 --> 02:00:53,040
Speaker 6: I'm oh yeah, but I was able to buy this

2564
02:00:53,120 --> 02:00:55,280
Speaker 6: TV because I'm not as price sensitive as a real dad,

2565
02:00:55,600 --> 02:00:56,680
Speaker 6: because I don't have the kids.

2566
02:00:56,720 --> 02:00:58,920
Speaker 3: That's why I got to get the get the get

2567
02:00:58,960 --> 02:00:59,480
Speaker 3: the good one.

2568
02:00:59,520 --> 02:01:01,840
Speaker 2: And it's like, as a child have a that's the

2569
02:01:01,920 --> 02:01:05,320
Speaker 2: normal way to say it, Like big screen, big Screen's fine.

2570
02:01:05,320 --> 02:01:07,000
Speaker 2: It's like, you got a big screen, that's the coolest

2571
02:01:07,040 --> 02:01:09,600
Speaker 2: thing to shoot, big screen, giant screen, to play Minecraft

2572
02:01:09,680 --> 02:01:11,760
Speaker 2: on your fucking best father in the world.

2573
02:01:11,840 --> 02:01:15,240
Speaker 12: Two so you can both play it in separate rooms,

2574
02:01:15,280 --> 02:01:17,440
Speaker 12: so you don't have to talk to me exactly what

2575
02:01:17,560 --> 02:01:17,920
Speaker 12: they want.

2576
02:01:18,000 --> 02:01:20,400
Speaker 2: One of the most cherish things is watching my son

2577
02:01:20,480 --> 02:01:24,080
Speaker 2: play Minecraft explaining shiit to me. But we're not talking

2578
02:01:24,080 --> 02:01:26,640
Speaker 2: about a normal thing. We're talking about what the consumer

2579
02:01:26,720 --> 02:01:28,640
Speaker 2: wants separate themselves.

2580
02:01:28,680 --> 02:01:30,400
Speaker 8: We're talking about what that guy who did the tweet

2581
02:01:30,440 --> 02:01:33,120
Speaker 8: about how he gets boiling mad if he spends more

2582
02:01:33,200 --> 02:01:35,080
Speaker 8: than ten minutes with children.

2583
02:01:36,000 --> 02:01:36,600
Speaker 1: Did you see this?

2584
02:01:36,800 --> 02:01:39,760
Speaker 8: There's some dad was like, am I normal? If I

2585
02:01:39,840 --> 02:01:43,680
Speaker 8: spend more than ten minutes? Was it day with my children?

2586
02:01:43,800 --> 02:01:43,960
Speaker 2: Day?

2587
02:01:44,200 --> 02:01:46,480
Speaker 1: My blood boils? That's normal?

2588
02:01:46,600 --> 02:01:46,760
Speaker 2: Right?

2589
02:01:46,880 --> 02:01:49,920
Speaker 8: But everybody was like, hey, buddy, that's not totally normal.

2590
02:01:50,000 --> 02:01:52,040
Speaker 8: But like, we totally get it. Being a dad is hard.

2591
02:01:52,160 --> 02:01:55,280
Speaker 2: You're a balance, you know, for that is, but not

2592
02:01:56,160 --> 02:01:59,000
Speaker 2: like ten minutes should not because you can you have

2593
02:01:59,080 --> 02:02:00,640
Speaker 2: a lot more of those in the day with the

2594
02:02:00,760 --> 02:02:01,840
Speaker 2: child than that.

2595
02:02:02,600 --> 02:02:04,600
Speaker 1: Yeah, I mean, it seems like this guy doesn't have to.

2596
02:02:04,880 --> 02:02:07,880
Speaker 6: But it reminds me of when when you know, the

2597
02:02:08,000 --> 02:02:11,400
Speaker 6: COVID lockdown first happened, and all the parents and the

2598
02:02:11,480 --> 02:02:12,920
Speaker 6: ones on the internet were suddenly like.

2599
02:02:13,320 --> 02:02:16,640
Speaker 3: Someone needs to help me from being around my kid.

2600
02:02:18,240 --> 02:02:19,840
Speaker 3: I thought you liked having the kids.

2601
02:02:20,560 --> 02:02:22,680
Speaker 6: Now you're mad that you got to be around the kids.

2602
02:02:23,920 --> 02:02:25,280
Speaker 6: Why do you Why do you have the kid if

2603
02:02:25,280 --> 02:02:27,320
Speaker 6: you don't want to be around them. And it also

2604
02:02:27,480 --> 02:02:30,040
Speaker 6: makes you realize that like, oh yeah, the main purpose

2605
02:02:30,080 --> 02:02:32,840
Speaker 6: of school was not education. It was just childcare so

2606
02:02:32,960 --> 02:02:35,080
Speaker 6: people could go to work. That's why they're complaining. They're like,

2607
02:02:35,080 --> 02:02:35,880
Speaker 6: I need to go to work.

2608
02:02:36,240 --> 02:02:38,560
Speaker 3: Well, that's You've just revealed a fucked up thing about

2609
02:02:38,600 --> 02:02:41,000
Speaker 3: school and parenting all at once. I actually think that's

2610
02:02:41,040 --> 02:02:43,080
Speaker 3: the lens. I'm going to go through everything tomorrow.

2611
02:02:43,080 --> 02:02:45,560
Speaker 2: I'm just going to look around the exposent to being like, okay,

2612
02:02:45,640 --> 02:02:47,280
Speaker 2: what's the shoot where it's just people like I need

2613
02:02:47,360 --> 02:02:50,080
Speaker 2: to get away from my obligations, like I made these

2614
02:02:50,120 --> 02:02:54,120
Speaker 2: fucking decisions throughout my life. I got a fucking fast,

2615
02:02:54,440 --> 02:02:56,480
Speaker 2: unhealthy bitch of a cat I got.

2616
02:02:57,440 --> 02:02:59,560
Speaker 1: We were all waiting on what that last word was

2617
02:02:59,600 --> 02:02:59,880
Speaker 1: gonna be.

2618
02:03:03,120 --> 02:03:04,160
Speaker 3: There some options.

2619
02:03:07,840 --> 02:03:10,440
Speaker 1: It's like cat okay. He's saying cat okay.

2620
02:03:10,680 --> 02:03:13,839
Speaker 2: So I wasn't referring to any of my perfect fucking angels,

2621
02:03:14,320 --> 02:03:16,480
Speaker 2: but it's like these people were just like, Okay, I

2622
02:03:16,600 --> 02:03:18,160
Speaker 2: need to find it if my cat's healthy, because I

2623
02:03:18,160 --> 02:03:21,040
Speaker 2: don't want to look at it or use it. Can

2624
02:03:21,080 --> 02:03:23,440
Speaker 2: I keep my child in the separate room? Can I

2625
02:03:23,520 --> 02:03:25,360
Speaker 2: give it an action figure that can go a.

2626
02:03:25,480 --> 02:03:27,920
Speaker 11: Robot and an action figure that will talk to each other.

2627
02:03:28,000 --> 02:03:30,640
Speaker 2: And and also if you want any of these things,

2628
02:03:30,680 --> 02:03:33,760
Speaker 2: don't worry. They don't fucking work. They don't even do

2629
02:03:34,040 --> 02:03:36,920
Speaker 2: the thing that we're promising you. But it's funny. Just

2630
02:03:36,960 --> 02:03:38,960
Speaker 2: imagine this guy is walking and being like, please get

2631
02:03:38,960 --> 02:03:41,840
Speaker 2: me away from all this. Can this is the robot

2632
02:03:41,880 --> 02:03:45,080
Speaker 2: gonna be Oh, the robot's gonna fall over. It's falling over.

2633
02:03:45,440 --> 02:03:47,000
Speaker 2: It's gonna kick me in the nuts. Do you see

2634
02:03:47,040 --> 02:03:49,080
Speaker 2: that video the guy just getting fucking hoofed in the

2635
02:03:49,160 --> 02:03:52,400
Speaker 2: nuts by That was great. If you've got a bootho

2636
02:03:52,560 --> 02:03:55,560
Speaker 2: guy's being kicked in the balls, I don't care what

2637
02:03:55,680 --> 02:03:57,680
Speaker 2: you're selling me, fucking Lockheed mouth.

2638
02:03:59,440 --> 02:04:01,240
Speaker 6: I mean, so that made me kind of sad. Like

2639
02:04:01,320 --> 02:04:03,440
Speaker 6: there was one that was I don't want to say

2640
02:04:03,440 --> 02:04:05,160
Speaker 6: the name of it because it did make me sad,

2641
02:04:05,200 --> 02:04:07,280
Speaker 6: but it was a little It was like a little toy,

2642
02:04:07,400 --> 02:04:10,120
Speaker 6: like a little Hello Kitty type toy, and.

2643
02:04:10,600 --> 02:04:12,400
Speaker 3: It was, you know, you could talk to it.

2644
02:04:12,760 --> 02:04:14,000
Speaker 1: Was it the one that was like the future of

2645
02:04:14,120 --> 02:04:15,000
Speaker 1: robot Friend.

2646
02:04:15,280 --> 02:04:16,440
Speaker 3: Something like that. It was a funny.

2647
02:04:21,040 --> 02:04:23,560
Speaker 6: It was also like it'll watch everything that you do

2648
02:04:23,760 --> 02:04:26,640
Speaker 6: and remember it. And I was like all right, and

2649
02:04:26,720 --> 02:04:28,560
Speaker 6: I and I walked up and I was like, oh right,

2650
02:04:28,600 --> 02:04:29,560
Speaker 6: what was it doing here?

2651
02:04:29,600 --> 02:04:29,800
Speaker 2: It is?

2652
02:04:29,840 --> 02:04:30,960
Speaker 3: I was like, oh, can I talk to it? And

2653
02:04:31,400 --> 02:04:33,480
Speaker 3: she was like no, you know, the Wi Fi is

2654
02:04:33,560 --> 02:04:33,840
Speaker 3: in here.

2655
02:04:34,360 --> 02:04:36,640
Speaker 6: In here is bad and it uses chat GPT, so

2656
02:04:36,720 --> 02:04:39,000
Speaker 6: it can't connect to chat GPT right now. And I'm like,

2657
02:04:39,120 --> 02:04:42,240
Speaker 6: this is just some somebody put like a couple hundred

2658
02:04:42,240 --> 02:04:44,400
Speaker 6: grand of their own money into like a little doll

2659
02:04:44,480 --> 02:04:47,720
Speaker 6: that connects to the Chat GPT API and is here

2660
02:04:47,880 --> 02:04:51,520
Speaker 6: thinking that's anything, like like, why would we want such

2661
02:04:51,560 --> 02:04:54,080
Speaker 6: a thing? Why would anybody here be excited by just

2662
02:04:54,160 --> 02:04:56,839
Speaker 6: a front end to chat GPT a product that already exists.

2663
02:04:57,120 --> 02:04:59,200
Speaker 2: But that's the thing I think. I feel like, as

2664
02:04:59,200 --> 02:05:00,920
Speaker 2: we're rapids a good way to put it. It's like

2665
02:05:01,280 --> 02:05:03,600
Speaker 2: there are two there are two real cons with AI.

2666
02:05:03,720 --> 02:05:06,360
Speaker 2: There's the con of the consumer being told it will

2667
02:05:06,440 --> 02:05:08,520
Speaker 2: do this for you, that for you'll be a personal assistant.

2668
02:05:08,760 --> 02:05:10,920
Speaker 2: And then there's for companies that are like, yeah, if

2669
02:05:10,960 --> 02:05:14,000
Speaker 2: we put chat GPT in this, it'll be smart. No, motherfucker,

2670
02:05:14,280 --> 02:05:16,360
Speaker 2: he's not gonna do that at all. And it's like

2671
02:05:16,440 --> 02:05:18,520
Speaker 2: it's you don't want to name the company, which is fine,

2672
02:05:18,680 --> 02:05:20,320
Speaker 2: but it's like there are so many that were there

2673
02:05:20,440 --> 02:05:22,160
Speaker 2: last year as well. It's like, oh, it's an agent.

2674
02:05:22,240 --> 02:05:24,920
Speaker 2: It's like it's just a fucking chat bot and you've

2675
02:05:25,000 --> 02:05:27,520
Speaker 2: poorly trained it and it's like gonna tell you that

2676
02:05:28,240 --> 02:05:31,400
Speaker 2: Taiwan is part of China or like BDSM shit like,

2677
02:05:31,760 --> 02:05:34,800
Speaker 2: and it's just quite sad. It's like everyone is being

2678
02:05:34,960 --> 02:05:38,000
Speaker 2: conned by these companies. Yeah, both the consumer and the

2679
02:05:38,120 --> 02:05:40,760
Speaker 2: companies themselves. I can't wait to catalog them. I'm looking

2680
02:05:40,760 --> 02:05:43,320
Speaker 2: forward to watching the sadness. But it's just it's it

2681
02:05:43,480 --> 02:05:45,960
Speaker 2: is quite sad. I'm so glad I'm here a week.

2682
02:05:46,040 --> 02:05:50,440
Speaker 2: This is great, my dark my joker, Like it's a shrug.

2683
02:05:50,840 --> 02:05:53,160
Speaker 3: It's a shrug economy. Like everyone just sort of hoping.

2684
02:05:53,480 --> 02:05:56,560
Speaker 6: Like I was talking to people about the Disney open

2685
02:05:56,640 --> 02:06:00,320
Speaker 6: a ideal because that's like a bunch of people in Hollywood. Yeah,

2686
02:06:00,360 --> 02:06:02,600
Speaker 6: like freaked out about it, especially writers who are worried

2687
02:06:02,600 --> 02:06:03,600
Speaker 6: about IP and stuff like that.

2688
02:06:04,080 --> 02:06:05,520
Speaker 3: But like my take on if you look at the

2689
02:06:05,600 --> 02:06:08,520
Speaker 3: deal is nobody even knows why they're doing it.

2690
02:06:08,640 --> 02:06:11,120
Speaker 6: Yeah, Like open Ai has the idea that, like, we

2691
02:06:11,240 --> 02:06:15,000
Speaker 6: need licensed characters for Sora, and Disney just doesn't want

2692
02:06:15,040 --> 02:06:18,920
Speaker 6: to be left out. Yeah, but like they think, they

2693
02:06:18,960 --> 02:06:21,960
Speaker 6: appear to think maybe it's marketing for Disney. Plus open

2694
02:06:22,040 --> 02:06:24,720
Speaker 6: Ai has some idea maybe people will want to create

2695
02:06:24,840 --> 02:06:28,080
Speaker 6: scenes of Deadpool hanging out with Elsa or whatever.

2696
02:06:28,760 --> 02:06:31,640
Speaker 3: How does that result in money? Question mark? Nobody knows.

2697
02:06:32,200 --> 02:06:35,480
Speaker 6: Yeah, it loses money, But like Disney is just like

2698
02:06:35,640 --> 02:06:38,040
Speaker 6: not getting left out of a thing. That's maybe the future.

2699
02:06:38,200 --> 02:06:41,160
Speaker 6: Open Ai is making a deal that makes their business

2700
02:06:41,200 --> 02:06:43,600
Speaker 6: look better to whoever the fuck is gonna give them

2701
02:06:43,640 --> 02:06:47,600
Speaker 6: money next, and they didn't even pay Disney for it.

2702
02:06:47,720 --> 02:06:50,520
Speaker 2: Like they're doing a licensing deal where they pay Disney

2703
02:06:50,560 --> 02:06:53,240
Speaker 2: in open Ai stock, which Disney already bought more of,

2704
02:06:53,480 --> 02:06:56,280
Speaker 2: and in fact, Disney has the option to buy more stock.

2705
02:06:56,920 --> 02:07:00,760
Speaker 2: It's just you gotta wonder what happens when open Ai collapses,

2706
02:07:00,800 --> 02:07:04,040
Speaker 2: because he's gonna fucking help. And it's just like these

2707
02:07:04,080 --> 02:07:06,600
Speaker 2: companies will change to the Chinese models, I guess, or

2708
02:07:07,040 --> 02:07:08,720
Speaker 2: what remains of anthwer It's.

2709
02:07:08,720 --> 02:07:10,200
Speaker 11: Just everyone can use quin.

2710
02:07:10,800 --> 02:07:14,720
Speaker 2: Yeah, the quick Kimmy took too deep sea.

2711
02:07:14,600 --> 02:07:15,200
Speaker 3: Gotta be fine.

2712
02:07:15,360 --> 02:07:17,160
Speaker 2: Well, all right, I'm gonna wrap it there so I

2713
02:07:17,200 --> 02:07:20,200
Speaker 2: don't just launch into a rant about AI as per

2714
02:07:20,320 --> 02:07:22,920
Speaker 2: fucking usual. Thank you so much. We've got the core

2715
02:07:23,000 --> 02:07:24,800
Speaker 2: three here. It's gonna be joining us the next day

2716
02:07:24,880 --> 02:07:26,640
Speaker 2: or two. It's gonna be wonderful. Thank you so much

2717
02:07:26,680 --> 02:07:28,720
Speaker 2: for traveling in with us. We're gonna end the episode

2718
02:07:28,720 --> 02:07:32,520
Speaker 2: as we have, dedicated to Sean Paul. He's a wonderful fella.

2719
02:07:32,600 --> 02:07:36,600
Speaker 2: Came in twenty twenty. Donate to the Pediatric Epilepsy Research Consortium.

2720
02:07:36,880 --> 02:07:39,080
Speaker 2: Link will be in there, dedicated to his son. Thank

2721
02:07:39,120 --> 02:07:41,200
Speaker 2: you so much everyone for listening. We'll be back tomorrow.

2722
02:07:41,400 --> 02:07:52,640
Speaker 2: Thank you so much. Thank you for listening to Better Offline.

2723
02:07:52,920 --> 02:07:55,320
Speaker 2: The editor and composer of the Better Offline theme song

2724
02:07:55,400 --> 02:07:58,040
Speaker 2: is Matasowski. You can check out more of his music

2725
02:07:58,080 --> 02:08:02,280
Speaker 2: and audio projects and MATTASAUSK M A T T O

2726
02:08:02,560 --> 02:08:06,680
Speaker 2: S O W s KI dot com. You can email

2727
02:08:06,720 --> 02:08:09,160
Speaker 2: me at easy at better offline dot com or visit

2728
02:08:09,200 --> 02:08:11,480
Speaker 2: better Offline dot com to find more podcast links, and

2729
02:08:11,600 --> 02:08:14,680
Speaker 2: of course my newsletter. I also really recommend you go

2730
02:08:14,720 --> 02:08:17,320
Speaker 2: to chat dot where's youreaed dot at to visit the discord,

2731
02:08:17,600 --> 02:08:19,880
Speaker 2: and go to our slash Better Offline to check out

2732
02:08:19,920 --> 02:08:22,560
Speaker 2: our reddit. Thank you so much for listening.

2733
02:08:23,440 --> 02:08:25,880
Speaker 5: Better Offline is a production of cool Zone Media.

2734
02:08:26,080 --> 02:08:28,920
Speaker 2: For more from cool Zone Media, visit our website cool

2735
02:08:28,960 --> 02:08:32,280
Speaker 2: Zonemedia dot com, or check us out on the iHeartRadio app,

2736
02:08:32,360 --> 02:08:34,760
Speaker 2: Apple Podcasts, or wherever you get your podcasts.