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Speaker 1: Also media.

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Speaker 2: When I was a young boy, my father he took

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Speaker 2: me to the Las Vegas based consumer electronics show and

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Speaker 2: he left me here for days. Welcome to Better Offline.

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Speaker 2: I'm your host ed zitpon and we are back talking

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Speaker 2: about the consumer electronics show. I slept five hours yesterday,

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Speaker 2: so I was a little low energy. Today I am

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Speaker 2: way higher energy. So this is what you have to

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Speaker 2: expect today. But I'm joined by another dynamic coachie of guests.

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Speaker 2: On my left here I have Tom McKay's, a senior

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Speaker 2: reporter at it brew. Tom, Thank you so much for

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Speaker 2: joining us.

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Speaker 1: Awesome, it's great to be here.

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Speaker 2: Hell yeah. And across from me, I have Jesse Ferrara

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Speaker 2: of your Kickstarter sucks.

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Speaker 1: Hello.

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Speaker 2: I have loved ykas for years. But also tell people

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Speaker 2: a little bit about what YKS is because it's so

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Speaker 2: germane to the show.

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Speaker 3: Well, thank you, you know it's uh. I guess it

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Speaker 3: has morphed into something that is a tech skeptic show,

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Speaker 3: you know, which you're familiar with, and it's it. It

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Speaker 3: wasn't supposed to be that. It was supposed to be

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Speaker 3: about crowdfunding. But what happens when we get sucked into

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Speaker 3: these worlds. You know, you often find, you know, maybe

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Speaker 3: there's some more here than I really thought. And such

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Speaker 3: is the way of crowdfunding, because now it's it's mostly

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Speaker 3: AI stuff, or it's you know, a little robot that

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Speaker 3: spins around on a wheel and says how you doing

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Speaker 3: or whatever. So uh so, mostly, okay, that was a

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Speaker 3: bad example because obviously that's awesome and we all want that.

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Speaker 2: But there's so much of this.

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Speaker 3: There's a big overlap I guess, between bad tech and

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Speaker 3: what's on our show.

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Speaker 2: And you got a lot of your start as well,

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Speaker 2: was talking about just the shit that people were promising

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Speaker 2: on crowdfunding campaigns. Yeah, I think that's what that's like.

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Speaker 3: It shares like a particular DNA with cees, which we

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Speaker 3: were talking a little bit earlier before we got started,

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Speaker 3: which is, hey, I remember this stuff from last year,

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Speaker 3: and then you show up and it's not here, right yeah.

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Speaker 2: And also it's not anywhere. And that's what kickstarter is, right.

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Speaker 3: There's somebody who says, what if we did this, and

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Speaker 3: you go, well, I don't know, man, I mean I

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Speaker 3: guess try it, and they go okay, and then nothing

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Speaker 3: happens after that at all, and the only record of

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Speaker 3: it sometimes is our stupid.

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Speaker 2: Show saying how much it sucks, so so really doing

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Speaker 2: the pure journalism there, it's anthropology as well that I

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Speaker 2: you know, I don't want to sell it short but

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Speaker 2: all right, so, oh my right, I have Henry Casey,

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Speaker 2: electronics writer at CNN underscored Henry, thank you for being here.

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Speaker 1: Thank you for having me.

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Speaker 2: So a lot of your stuff is just you. You

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Speaker 2: have one of the more honest jobs I would say

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Speaker 2: of the people that we've had on so far, which

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Speaker 2: is not meant to sound like an insult though it does,

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Speaker 2: okay in the sense that you're just like, I'm gonna

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Speaker 2: look at stuff like It's not like you're doing like

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Speaker 2: a trend piece. It's like, I'm gonna look at some

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Speaker 2: stuff that sounds or looks away.

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Speaker 4: Is it something that is either gonna be released and

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Speaker 4: has a price or life to be likely to be

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Speaker 4: released and has a price, but well, we're all afraid

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Speaker 4: of tariff so we're not gonna give a price yet.

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Speaker 4: Or is it really cool and you're gonna want to

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Speaker 4: click on it? And I'm sorry that we're gonna say

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Speaker 4: this as a concept that we're gonna tell you that upfront.

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Speaker 4: Those are the three categories of what I do. But

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Speaker 4: for mostly I'm proc reviews. Guy, I am we have

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Speaker 4: a customer, we have an audience. It's like, oh, I

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Speaker 4: want to get something that improves X, Y or Z.

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Speaker 4: And that's how I get to not cover stuff that

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Speaker 4: isn't going to help anybody or anything. And how I

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Speaker 4: got to avoid talking about the Rabbit last year because

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Speaker 4: it didn't have any dreamanness to anybody.

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Speaker 2: And you made a point before we got on as well.

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Speaker 2: So the Rabbit r one for people that don't know,

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Speaker 2: is this little box that promised to you could be like, oh,

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Speaker 2: I need a McDonald and I need a chicken nugget

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Speaker 2: from McDonald and then you talked into it and the

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Speaker 2: nugget would appear. Except by the way and the launch

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Speaker 2: of the Rabbit. When he tried to do this, it

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Speaker 2: broke of all the shit to do, like a live

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Speaker 2: demo of your very broken thing, and it turned out

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Speaker 2: that behind the scenes all it was was triggering like

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Speaker 2: these scripts. Nothing from Rabbit this year, but also nothing

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Speaker 2: like Rabbit this year. No one has done a big

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Speaker 2: cause I lie. No one's just come up with a

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Speaker 2: fake thing than this selling, which is very disappointing. I

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Speaker 2: was looking for some dog shit.

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Speaker 3: Yeah you normally in these times I find you know,

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Speaker 3: we look to the helpers, and so I looked for

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Speaker 3: will I Am and I found him and I was

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Speaker 3: able to take a creepshot of him from really far away.

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Speaker 3: So if that helps anybody, I'd be happy to share.

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Speaker 3: But it doesn't seem like even will I Am had something.

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Speaker 3: It was like a speaker thing or some kind of headphones, right.

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Speaker 4: Like even and speakers and a little bit of headphones

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Speaker 4: with LG they had an event. I didn't get coded

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Speaker 4: it last night. But yeah, they're doing a whole partnership.

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Speaker 3: That's great. I feel like, maybe I don't know, is

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Speaker 3: maybe this is too cynical. I almost feel like we're

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Speaker 3: good on speakers. I think maybe I have enough ways

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Speaker 3: to like play music in my house and I probably

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Speaker 3: don't need to iterate on that anymore. But yeah, these

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Speaker 3: guys didn't get the message on that for sure. So

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Speaker 3: Tom McKay, so it, bro, what are you doing here?

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Speaker 3: What are you actually looking into? Because it seems like

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Speaker 3: you might have a slightly different remit.

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Speaker 1: So I mostly cover enterprise technology, so I'm here mostly

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Speaker 1: to cover know what there is of the B two

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Speaker 1: B segment here and cybersecurity stuff I don't know. Yesterday

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Speaker 1: I interviewed a guy, Brandon Lucca, who does his company

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Speaker 1: called Efficient Computing or Efficient Computer. Uh it you know,

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Speaker 1: dramatically lowers the power requirements of processing stuff.

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Speaker 2: Yeah, that doesn't I mean.

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Speaker 1: Uh, And I've spent a lot of time just wandering

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Speaker 1: around the floor.

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Speaker 2: Uh.

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Speaker 1: The AI pavilion is baffling in harf Is that in

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Speaker 1: the LVCC. Yeah, that's the that's a big LG one

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Speaker 1: where they have I forget if it's LG's branding, but

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Speaker 1: there's like one that's like the rebranding it is Affectionate

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Speaker 1: Intelligence and it's just absolute dog shit.

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Speaker 2: Well does that mean?

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Speaker 5: Uh?

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Speaker 1: Well, from what I can see, there's like a big

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Speaker 1: board you go in there, or a big TV when

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Speaker 1: you go in there, and it's like playing CGI clips

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Speaker 1: of like a family being like it's cold today? What

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Speaker 1: should I cook? And the fridge starts talking. It's like wow,

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Speaker 1: I the fuck I know? And it's like or like

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Speaker 1: there's another clip that plays on it where it's like

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Speaker 1: a girl like tossing a baseball and the Dad's like

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Speaker 1: I need recommendations for TV and lo and behold the

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Speaker 1: TV recommends baseball clips.

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Speaker 6: Well.

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Speaker 2: I love about this as well as the assumption that

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Speaker 2: there are assumptions being made by people that have not

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Speaker 2: talked to a person in some time. They're just like,

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Speaker 2: they're just like, what the fuck did dads do with

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Speaker 2: their daughters? Did they throw a ball? I guess what

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Speaker 2: do I make?

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Speaker 1: Is like baby talking adults. It's it feels insane.

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Speaker 2: I'm sure we all walk up to the fridge and go, well,

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Speaker 2: there's one thing in there. It's a pack of ham.

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Speaker 2: I don't know if it's ten days or ten weeks old.

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Speaker 2: Maybe I could make dinner with that. But also I

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Speaker 2: don't know who is walking up to fridge and going like, man,

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Speaker 2: I wish someone would tell me what to make with

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Speaker 2: all this fee.

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Speaker 1: I wish the fridge would tell me don't eat that

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Speaker 1: it's been there for seven days. But none of this does.

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Speaker 2: That, no, because that's an actual problem. Yeah, versus there's

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Speaker 2: no Bachelor fridge. I did, however, see a Bachelor dish

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Speaker 2: washer A dish so this is really.

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Speaker 1: Finn It's marketed as four batchelor.

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Speaker 2: It should be it's a five second dish washer, So

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Speaker 2: I walked up and this is this is very me.

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Speaker 2: I walked up and go all right, how much that

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Speaker 2: four hundred bucks? I'm like okay, I'm like is it

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Speaker 2: out here only in China right now? Coming next year?

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Speaker 2: And I said, all right, can you show me? And

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Speaker 2: he puts the plate in the I'm like, you put

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Speaker 2: the dirty one. He's like, oh, I'm already doing this one.

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Speaker 2: I'm like, well it's pretty short, and he just like

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Speaker 2: stares there and goes, okay, well I'm going to put

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Speaker 2: this one. And I'm like okay, so the clean one,

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Speaker 2: and he goes I'm like, how long? Five seconds? Like

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Speaker 2: great one, two, three, four, five, six seven. And the

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Speaker 2: guy's just like, oh god, because no one's walked up

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Speaker 2: and timed it. Yeah, And he just like looks at

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Speaker 2: me like it just it's a dish. I'm like, no,

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Speaker 2: this is great. It's for like like sad guys, right,

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Speaker 2: and he just he goes, I sure, he's like this.

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Speaker 2: This guy's already out timed the.

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Speaker 1: Miss Still it cleans a single plate at a time.

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Speaker 2: No, you can do like a few, but it actually

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Speaker 2: looked like genuinely I was like I could see using this.

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Speaker 2: But the reason I choose the bachelor thing is who

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Speaker 2: is cleaning like three plates? Like it's like but also

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Speaker 2: absolutely like this is like when you're making one set

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Speaker 2: off one set, gentleman talking about myself and uh yeah,

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Speaker 2: but what's weird was that's arguably one of the most

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Speaker 2: useful things I've seen. Appliances are useful.

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Speaker 3: Yeah, like we've yeah, we figured out Okay, it's good

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Speaker 3: when you wash the dish or you make the food

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Speaker 3: or whatever. So like we're all on board with how

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Speaker 3: to do that kind of stuff. So if they put

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Speaker 3: a different screen on it, you're gonna get me to stop.

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Speaker 3: I'll look at the new screen on the fridge.

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Speaker 2: I really do like all the AI screen stuff though,

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Speaker 2: Like so it's just like they haven't worked out why

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Speaker 2: screens are useful. Eth Yeah, that's also a problem.

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Speaker 4: I do in theory, like the idea of like tell

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Speaker 4: me or I could make with this because I make

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Speaker 4: the same sheet pan dish a lot, and if I

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Speaker 4: could have a thing that could tell me, hey, who

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Speaker 4: the new thing you could make with some of these ingredients.

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Speaker 4: Just get one new thing.

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Speaker 2: But you're saying you already have the ingredients.

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Speaker 4: Yeah, what or like it could suggest hey, half of

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Speaker 4: these ingredients, get this other thing, make this other dish something.

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Speaker 4: They push it to be more creative with what you

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Speaker 4: do because you think they're all taking over our imagination.

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Speaker 2: Correct, that's what the whole gimmick is.

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Speaker 4: AI is imagination that executives can buy an outsource human

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Speaker 4: work to. Okay, that's that's the methods that nobody's saying about,

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Speaker 4: like help me be a more adventurous call.

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Speaker 3: But it starts to telling you before you go to

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Speaker 3: the store, though, right, you can't. There's no world where

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Speaker 3: you have like you don't have like leaks in your fridge,

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Speaker 3: and like what am I gonna do all these leaks?

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Speaker 3: Like you fucking bought the leaks right now?

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Speaker 4: Yeah, there are leaks in the shield.

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Speaker 2: Okay, well you know what leaks are?

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Speaker 1: Good?

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Speaker 2: So bad? Example by me? Well I like them? Okay,

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Speaker 2: that's all right, Well i'll see you later.

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Speaker 3: Then here is like helpful who doesn't feels like there's

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Speaker 3: a team leak and like a team anti leak.

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Speaker 2: So I did see one thing I like though, and

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Speaker 2: I think it confused them because so I found so

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Speaker 2: you know those golf simulators where you knock the ball

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Speaker 2: into a screen and it has like senses. They had

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Speaker 2: one for baseball. Oh so it was all of these

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Speaker 2: like Korean guys and I walk up, like are you

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Speaker 2: doing and they're like already just like British guy. This

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Speaker 2: guy doesn't know anything about the baseball or absolutely did

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Speaker 2: so have you got partnerships with the KBO And they're like,

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Speaker 2: oh uh, like does this work? Is this like hit tracks?

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Speaker 2: So to explain some baseball tech for you, it's actually

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Speaker 2: fucking cool if you go to like local bat in

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Speaker 2: cages z cages here in Vegas just doing ads. They

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Speaker 2: did not pay me, in fact I pay them, and

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Speaker 2: they're very hard to schedule with sometimes. Anyway. What they

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Speaker 2: have is a thing called hit tracks, so when you

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Speaker 2: hit it, it sees the lolosty of the ball and

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Speaker 2: like where you hit it and such, and this stuff's

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Speaker 2: fairly easily available. The thing is it requires a natural

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Speaker 2: bat in case you build around this. One is kind

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Speaker 2: of like the golfing thing. It's like fifteen grand and

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Speaker 2: they're like, hey you good bye one. I'm like no, no, no,

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Speaker 2: but and I was like, this is the only thing

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Speaker 2: I'd like to see. Yes, And they seem so happy.

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Speaker 2: They seemed genuinely happy and then they really wanted to

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Speaker 2: sell me when I was like, and then they seemed

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Speaker 2: less happy. Are they trying to sell it to people

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Speaker 2: or just like bars, they're trying to sell it to

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Speaker 2: teams and and I assume, like dying looking British men

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Speaker 2: right and sadly that it's very small market there. But

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Speaker 2: that was really cool, and it's like, I did get

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Speaker 2: this feeling walking around. I've spent the day in the

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Speaker 2: Venetian expo hole, so the one right connected to the

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Speaker 2: Venetian I did get this weird feeling. Though CS gets

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Speaker 2: done dirty because most of CS is so fucking boring.

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Speaker 2: It's but not in a bad way. It's like more

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Speaker 2: efficiency driving, battery technology, mobility for this, like and urine

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Speaker 2: sensors and such, and I wanted to make if I

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Speaker 2: saw urine, and naturally I'm just like a photo. I'm like,

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Speaker 2: oh wait, this is useful and it's good to look

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Speaker 2: at p Yeah, I have to I love looking at

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Speaker 2: the piss Yeah.

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Speaker 1: But then you gave me one of the p test kits.

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Speaker 1: I haven't used it yet, yeah, I did. I gotta

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Speaker 1: see how my pots states are.

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Speaker 2: I guess I was walking out of a CS once

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Speaker 2: and I saw like an ai semen. It's like and

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Speaker 2: I really want to walk up and be like, hey,

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Speaker 2: do you want to Can I have a go?

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Speaker 1: There is? Actually I saw a booth that's like selling

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Speaker 1: like a I guess it's a machine that like measures

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Speaker 1: your spur motility orso. And you know, I don't think

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Speaker 1: they were doing products on site, but whose well I

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Speaker 1: didn't see If there's a little booth in the corner.

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Speaker 2: Yeah, can I just hey, I got some with me.

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Speaker 2: But also I did see a few things that really

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Speaker 2: bothered me. And there was one where they had this

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Speaker 2: VR glasses thing and it said a new hope for

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Speaker 2: autism and dyslexia. And I'm gonna be talking about this

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Speaker 2: a few times on this show. Move a VR and

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Speaker 2: I walk over. I'm like, hey, so have you talked

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Speaker 2: to the FDA about this? And the one goes, what's that?

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Speaker 2: Which is a good start, and I'm like, okay, well,

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Speaker 2: they're the ones you'd have to work with to make

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Speaker 2: this legal in America. Oh, we're not a medical device.

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Speaker 2: I'm like, oh, okay, so how is this good for autism? Well,

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Speaker 2: it's great for autism and dyslexia. I just paused. My

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Speaker 2: guy so I have someone in a fan with the autism.

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Speaker 2: So I started getting a little bit pissed off, and

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Speaker 2: I was like, Okay, do you think those are the

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Speaker 2: same things? And sheid, no, they're different. How pause again,

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Speaker 2: I go, what clinical trials have you done? Well, we've

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Speaker 2: done clinical trials. I'm like, where where France, I'm like, oh,

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Speaker 2: what are you talking about? And just to be clear,

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Speaker 2: the classic thing that autistic people love is putting new

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Speaker 2: things on and new experiences. And this thing was by

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Speaker 2: the way you put the glasses on and you had

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Speaker 2: to move a character through letters to like do something. Okay,

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Speaker 2: uh huh. And let me just be clear. This person

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Speaker 2: who I talked to clearly had not been asked a

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Speaker 2: single question in their life, because they were very confused

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Speaker 2: that I kept saying, what do you How does this

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Speaker 2: help autistic people? And they're like, they do they play

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Speaker 2: the game. And I just want to say, if you

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Speaker 2: were on this floor and you have anything to do

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Speaker 2: with autism and I find you, I'm putting you on

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Speaker 2: this fucking show and putting your assd on fucking blast

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Speaker 2: because it's disgusting.

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Speaker 3: I have noticed not through Kickstarter, well some through Kickstarter,

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Speaker 3: but the impulse to make it easy on devices or

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Speaker 3: products or whatever that are ostensibly for people who need

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Speaker 3: help in various areas. Is like, that's tempting, right yea,

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Speaker 3: to say like, oh cool, somebody's trying to figure something out.

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Speaker 3: But a lot of times there's so much worse than

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Speaker 3: just the normal jackof tech that it feels bad to

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Speaker 3: evaluate them at all.

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Speaker 4: Wasn't this the thing that Lena Connan you were talking

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Speaker 4: out ed about, how like, oh, we're in a new

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Speaker 4: area of technology. We want we want less criticism, we

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Speaker 4: want we want more protection, less scrutiny.

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Speaker 2: And this one is just a bit And you're right, Jesse,

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Speaker 2: there's a lot of stuff here where it's just like, oh, yeah,

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Speaker 2: we're helping people, so give us a break. Okay. Now,

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Speaker 2: I talked with Ben Woolf who's a friend of the show,

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Speaker 2: and he sent a quote through about this company said

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Speaker 2: where I think they're utterly full of shit. Is the

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Speaker 2: other testimonial on the website movie via The principles of

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Speaker 2: the experience offered by movear is to address the visual

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Speaker 2: constraints found, according to the TVPS four manual in diagnosed

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Speaker 2: learning disorders such as dyslexia, ADHD and DCD. This is

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Speaker 2: frankly crap. Dyslexia is enormously variable, and immersive environments are nonsensical.

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Speaker 2: Quote treatment. He's doing little air quotes around that. ADHD

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Speaker 2: has no reason to be mechanicalistically vulnerable to this kind

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Speaker 2: of intervention. The point is that none of these people

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Speaker 2: talk to any fucking scientists, and the tech media needs

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Speaker 2: to go and harass them because you should not be

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Speaker 2: able to come onto this floor and feel safe. Okay,

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Speaker 2: I don't mean physically from criticism. There we go because

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Speaker 2: it just really bothers me. And a lot of what's

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Speaker 2: in the expo hare in the Venetian is this stuff.

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Speaker 2: There's so much health stuff. It's we were talking about yesterday.

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Speaker 2: It's disgusting. Oh you guys love health. I no, I

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Speaker 2: want to diet, like just we will kill you.

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Speaker 4: In like you've been asked like, oh, talk about something

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Speaker 4: you're excited and happy about with tech, that.

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Speaker 2: The baseball thing and the workout, the any workout shit.

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Speaker 2: But you post you're like, yeah, good jack, that stuff

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Speaker 2: is the stuff.

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Speaker 4: I'm like, I'm using the supernatural VR thing right that's

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Speaker 4: actually getting my heart rate up and I see the

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Speaker 4: char whatever its suitable alternative to going to the gym.

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Speaker 4: It's to avoid the weirdos. It's there is good stuff

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Speaker 4: out there to get healthy intech, but it's the the

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Speaker 4: Venetian floor is really condensed and too tight to make

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Speaker 4: any sense of unless you're a team of twenty five people,

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Speaker 4: and the Verge doesn't have a twenty five person health team.

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Speaker 2: They got Victoria's song one of the best. She's christ

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Speaker 2: she's one of the best. Or yeah, she's got one

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Speaker 2: of the single best. She's like the remaining wearable reporter.

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Speaker 2: She's so good. And now here's the thing. I'm just

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Speaker 2: gonna read you what this company, wishtails Ai had on

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Speaker 2: that thing is so empowering creators and consumers. With multimodal AI,

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Speaker 2: the iPhone turned anyone into a photographer. Wishtails empowers everyone

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Speaker 2: to be a creator. I could not make heads or

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Speaker 2: tails of what this company did. I do not know.

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Speaker 2: They just the music art automations create multimodal AI videos

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Speaker 2: in mins, in twenty eight languages, and it just says

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Speaker 2: ignite multimodal creativity. Imagine if they had any quality control.

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Speaker 1: I mean, this just sounds like stuff the iPhone already does.

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Speaker 2: Yeah, but also you create multimodal video. No you don't,

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Speaker 2: we model you fucking to these people.

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Speaker 3: The iPhone is mostly single modal, right, so that's like

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Speaker 3: a huge because if you do more of the models

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Speaker 3: then won't that be like better and stuff?

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Speaker 2: Yeah, you know, like a hundred models going right now.

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Speaker 2: That's insane. It's like really cool. I'm spinning them up.

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Speaker 1: I don't believe that's possible.

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Speaker 2: Anything is possible if you lie. So Tom, you mean

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Speaker 2: looking and surprise stuff? Is there anything good? Is there

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Speaker 2: any any joys?

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Speaker 1: I mean for the most I mean like this is

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Speaker 1: mostly you know, consumer electronics. I've been going around, like

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Speaker 1: there's a lot of interesting drones that are intended for

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Speaker 1: I guess like the B to B market. Interesting how

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Speaker 1: like industrial scanning and stuff that's interesting. I mean the

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Speaker 1: big themes this year are AI and robotics. I think, uh,

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Speaker 1: there's just a lot of sony robots. I mean it's

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Speaker 1: funny though, so I forget what it's called. But I

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Speaker 1: saw this one drone that's like a I don't know, tetra,

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Speaker 1: don't know the big uh the sphere with like I

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Speaker 1: can't remember the name of the shape. But yes, like

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Speaker 1: a spear and it rolls around and then it can

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Speaker 1: also fly. But I was talking with the guys that

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Speaker 1: made this, and I was like, all right, so you know,

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Speaker 1: what's what's the application of this And he's like, actually,

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Speaker 1: we're here to you know, get ideas. That's what the

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Speaker 1: potential applications are. Like, you built this before.

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Speaker 2: Coming up with a business plan. Yeah, we're pre we

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Speaker 2: have pre reason.

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Speaker 1: We just I mean the only thing they had was

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Speaker 1: like they gave me a brochure where it was like

404
00:18:33,440 --> 00:18:38,080
Speaker 1: a little diagram of a pile of rocks and uh

405
00:18:38,480 --> 00:18:41,040
Speaker 1: they like it just said search and rescue and then

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00:18:41,040 --> 00:18:42,600
Speaker 1: it had a picture of a tube and it's like

407
00:18:43,040 --> 00:18:45,760
Speaker 1: not real inspection. And I'm like, okay, I guess if

408
00:18:45,760 --> 00:18:47,880
Speaker 1: you have a really big tube that you need inspected.

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Speaker 1: I love all them down large tubes.

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Speaker 2: I hope there's so many corners.

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Speaker 3: Tube guys are eating good this year's cube issues.

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Speaker 2: I'm glad my tube's going to be sorted by the

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Speaker 2: end of this trip. This is a bad location to be.

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Speaker 2: I also got this At every CS I do look

415
00:19:09,280 --> 00:19:12,240
Speaker 2: up names. I have a lot of fun looking at names.

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00:19:12,280 --> 00:19:17,120
Speaker 2: Everyone called skip up and the AI spot stethoscope And

417
00:19:17,480 --> 00:19:20,119
Speaker 2: when I showed this to Phil, a resident safety expert.

418
00:19:20,200 --> 00:19:25,360
Speaker 2: He made this Noise EDGEAI Technology application Primary Screening by

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00:19:25,640 --> 00:19:28,280
Speaker 2: AI for heart and lung health abnormalities. So I'm gonna

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Speaker 2: stop there before I get angry. What everyone is doing

421
00:19:32,040 --> 00:19:35,560
Speaker 2: is they just like, we had an algorithm before, and

422
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Speaker 2: we are just saying AI because otherwise they will realize

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00:19:40,400 --> 00:19:42,960
Speaker 2: it's the same thing from four years ago. And in fact,

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Speaker 2: I feel like the theme right now for CS is dang,

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Speaker 2: we did this a year ago.

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Speaker 1: And a lot of it is we had an algorithm

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Speaker 1: and now we're slapping an additional layer on top best

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Speaker 1: like chat GPT. So basically it does the exact same

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Speaker 1: thing it did before, except you have an inaccurate robot

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Speaker 1: relaying what's happening.

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Speaker 2: And that's the thing you can fine dumb guys do

432
00:20:01,040 --> 00:20:03,919
Speaker 2: not understand stuff for free. You can just get a

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00:20:03,920 --> 00:20:08,000
Speaker 2: bloke Becau's just like, I think, what okay, all right?

434
00:20:08,080 --> 00:20:10,320
Speaker 1: Yeah, yeah, I mean I read into one that was

435
00:20:10,359 --> 00:20:13,199
Speaker 1: like a like AI enabled like scuba diver kit with

436
00:20:13,240 --> 00:20:15,240
Speaker 1: like the dive watches and stuff, and it's like, yeah,

437
00:20:15,280 --> 00:20:17,080
Speaker 1: I could just like I could just like swim over

438
00:20:17,160 --> 00:20:19,399
Speaker 1: in a panic to the other diver and point at

439
00:20:19,400 --> 00:20:21,040
Speaker 1: the watch and be like, oh, what does this mean?

440
00:20:21,760 --> 00:20:23,880
Speaker 2: And I missed. I was really upset that I didn't

441
00:20:23,960 --> 00:20:26,240
Speaker 2: hit the floor yesterday because there was apparently a speech

442
00:20:26,359 --> 00:20:29,840
Speaker 2: in the Web three tokenization fintech section just called metaverse

443
00:20:29,840 --> 00:20:33,360
Speaker 2: and quantum ai. Oh my god, I'm so mad.

444
00:20:33,359 --> 00:20:37,280
Speaker 4: I we're still using the word metaverse in twenty twenty five.

445
00:20:37,359 --> 00:20:37,840
Speaker 5: I love.

446
00:20:38,119 --> 00:20:40,679
Speaker 1: I never understood why anyone fell for that shit in

447
00:20:40,720 --> 00:20:43,680
Speaker 1: the first place, but the fact that some people are

448
00:20:43,680 --> 00:20:45,520
Speaker 1: still chasing it is wild to me.

449
00:20:45,720 --> 00:20:47,439
Speaker 2: I'm also going to give a shout out to the

450
00:20:47,480 --> 00:20:53,520
Speaker 2: only good booth here, the hang Joe Hyoshi Lighting Cone Limited.

451
00:20:53,640 --> 00:20:58,239
Speaker 2: Just a big son that said Wooden Lamb Nice. I

452
00:20:58,320 --> 00:20:59,840
Speaker 2: just loved that because it's like everyone else is just

453
00:21:00,840 --> 00:21:03,440
Speaker 2: I was just making shit up. It's like they I've

454
00:21:03,440 --> 00:21:06,440
Speaker 2: got a fucking lamp you want to Oh no, sorry.

455
00:21:06,480 --> 00:21:08,320
Speaker 2: I finally found it the thing that I love the most.

456
00:21:08,640 --> 00:21:10,520
Speaker 2: So I walked up to a booth where the sign

457
00:21:10,600 --> 00:21:14,679
Speaker 2: said bridging Massage and Purification for your pet. And I

458
00:21:14,720 --> 00:21:16,919
Speaker 2: walked up and I'm just showing everyone right now. It

459
00:21:17,000 --> 00:21:19,560
Speaker 2: is an air purifier with what looks like a spike

460
00:21:19,640 --> 00:21:23,000
Speaker 2: on the end. Oh yeah, my dog would like that,

461
00:21:23,000 --> 00:21:25,240
Speaker 2: that's what they told me. Yeah, because I walked up

462
00:21:25,240 --> 00:21:27,879
Speaker 2: and said, hi, so I just was reading your sign.

463
00:21:28,600 --> 00:21:31,800
Speaker 2: What does that mean? She's oh, of course, very ready

464
00:21:31,840 --> 00:21:34,240
Speaker 2: for the question, alarmingly so. And because will you see

465
00:21:34,240 --> 00:21:37,000
Speaker 2: the pet wall kind of massage themselves, I'm like, on

466
00:21:37,119 --> 00:21:40,560
Speaker 2: the spike and they will just so the dog just

467
00:21:40,560 --> 00:21:42,240
Speaker 2: just does this, and she's like yeah, and we have

468
00:21:42,280 --> 00:21:46,080
Speaker 2: a lower one for smaller dogs. I'm like, right, so

469
00:21:46,200 --> 00:21:49,040
Speaker 2: the dog just shoves itself.

470
00:21:49,160 --> 00:21:50,960
Speaker 3: Well, have you ever seen that with cows that they have,

471
00:21:51,080 --> 00:21:53,040
Speaker 3: like the big brushes on the farms that the cows

472
00:21:53,080 --> 00:21:54,400
Speaker 3: walk up to and scratch their back.

473
00:21:54,480 --> 00:21:56,560
Speaker 2: I've never seen a dog do this. I've never seen

474
00:21:56,560 --> 00:21:57,360
Speaker 2: a dog massage.

475
00:21:58,000 --> 00:22:00,560
Speaker 1: Do you attach spikes to your whilst yes.

476
00:22:01,359 --> 00:22:04,240
Speaker 2: Of course right, but I've never seen a dog well no,

477
00:22:04,320 --> 00:22:06,359
Speaker 2: those are fither and paling. But it's a prince of

478
00:22:06,359 --> 00:22:09,080
Speaker 2: purchase situation. We'll get to it later. But it's I've

479
00:22:09,119 --> 00:22:12,320
Speaker 2: never seen a dog massage themselves against something anyone's seen.

480
00:22:13,640 --> 00:22:15,199
Speaker 2: My dog will come in and kind of rub his

481
00:22:15,320 --> 00:22:17,959
Speaker 2: back on the couch, not on the spike if the

482
00:22:17,960 --> 00:22:20,200
Speaker 2: couch had a spike, you know. But it's also the

483
00:22:20,240 --> 00:22:23,480
Speaker 2: spike is coming down. Yeah, I don't know. And this

484
00:22:23,640 --> 00:22:25,640
Speaker 2: is a big booth as well. These people have spent

485
00:22:25,760 --> 00:22:28,040
Speaker 2: tens of thousands of dollars being like, well, I've got

486
00:22:28,040 --> 00:22:30,119
Speaker 2: to get the dog spike air purifier? Is that?

487
00:22:30,680 --> 00:22:31,280
Speaker 1: I don't know? Have you?

488
00:22:31,359 --> 00:22:33,080
Speaker 3: Have you talked about that a lot, like the actual

489
00:22:33,080 --> 00:22:36,040
Speaker 3: economics of putting on a booth, like sponsoring something.

490
00:22:36,240 --> 00:22:38,399
Speaker 2: He probably should have looked that up. Yeah, what does

491
00:22:38,440 --> 00:22:40,720
Speaker 2: it take to show up? I mean tens of thousands

492
00:22:40,720 --> 00:22:43,880
Speaker 2: of dollars, it's like one hundred thousand dollars for main

493
00:22:43,960 --> 00:22:47,520
Speaker 2: hol Yes, absolutely, wow, And it's crazy. It's like there's

494
00:22:47,520 --> 00:22:52,159
Speaker 2: so much stuff that's theoretical yeah or pre idea like

495
00:22:52,680 --> 00:22:57,240
Speaker 2: like I don't know, and it's just so strange. But so, Tom,

496
00:22:57,359 --> 00:22:59,400
Speaker 2: did you see anything you like yet? Did you see

497
00:22:59,400 --> 00:23:00,240
Speaker 2: anything good?

498
00:23:00,000 --> 00:23:04,240
Speaker 1: Good? I like the massage chairs.

499
00:23:04,240 --> 00:23:07,240
Speaker 2: I nearly thought that every year though, the massage chairs

500
00:23:07,280 --> 00:23:09,520
Speaker 2: fucking rock. They go they scam guys who are going

501
00:23:09,560 --> 00:23:11,000
Speaker 2: to see yes to the first time, like, oh yeah

502
00:23:11,000 --> 00:23:13,240
Speaker 2: it's four thousand dollars, we'll there for two and it

503
00:23:13,359 --> 00:23:14,720
Speaker 2: cost them three hundred dollars And.

504
00:23:14,720 --> 00:23:16,600
Speaker 1: Yeah, it kind of like locked me into the chair.

505
00:23:16,720 --> 00:23:18,800
Speaker 1: There was like panels that compressed me and I couldn't

506
00:23:18,880 --> 00:23:20,640
Speaker 1: leave it nearly fell asleep. That was great.

507
00:23:20,760 --> 00:23:23,000
Speaker 2: Yeah, anything else.

508
00:23:23,400 --> 00:23:26,399
Speaker 1: Uh, can we get back to me?

509
00:23:27,280 --> 00:23:29,399
Speaker 2: No, but it's fine if you don't have an on stuff.

510
00:23:29,160 --> 00:23:32,280
Speaker 1: Because I didn't, you know, I saw, you know, some

511
00:23:32,480 --> 00:23:34,840
Speaker 1: robots that were cool. There's this one company, I think

512
00:23:34,840 --> 00:23:38,040
Speaker 1: be Bot, that was working on a robotic turtle for

513
00:23:38,160 --> 00:23:39,560
Speaker 1: like environmental research.

514
00:23:39,920 --> 00:23:44,040
Speaker 2: Sorry, that sounds really good. Sorry, I thought you meant

515
00:23:44,040 --> 00:23:46,360
Speaker 2: a member of It looks like a turtle, don't.

516
00:23:46,440 --> 00:23:48,560
Speaker 1: I don't know. I don't know why it needs to

517
00:23:48,600 --> 00:23:50,960
Speaker 1: look like a turtle, but it but it apparently swims

518
00:23:50,960 --> 00:23:53,000
Speaker 1: and everything, and you can launch it into the sea

519
00:23:53,200 --> 00:23:56,040
Speaker 1: and it does it somehow does environmental reasons When we

520
00:23:56,119 --> 00:23:57,240
Speaker 1: kill When.

521
00:23:57,119 --> 00:24:01,560
Speaker 2: We kill all the turtles, dude, global warming, We're just

522
00:24:01,560 --> 00:24:02,960
Speaker 2: gonna replace them with just.

523
00:24:03,000 --> 00:24:06,160
Speaker 1: Some post apocalyptic future. This will be like Level one enemies,

524
00:24:09,880 --> 00:24:12,360
Speaker 1: just swarms of like little robot turtles. Yeah.

525
00:24:12,400 --> 00:24:14,439
Speaker 2: Yeah, right Now I have to kill the rats in

526
00:24:14,480 --> 00:24:18,640
Speaker 2: the Vegas in the Vegas at queducts to Vegas sewers.

527
00:24:18,720 --> 00:24:18,920
Speaker 1: Yeah.

528
00:24:18,960 --> 00:24:20,600
Speaker 2: I go down there with kill a fee rats. Then

529
00:24:20,640 --> 00:24:22,200
Speaker 2: there's a giant one and I have to run out

530
00:24:22,200 --> 00:24:25,840
Speaker 2: to the cops and they shoot me Jesse, anything good.

531
00:24:26,920 --> 00:24:28,920
Speaker 3: I well, I was wondering. I was thinking maybe Tom

532
00:24:28,920 --> 00:24:31,399
Speaker 3: would bring these guys up. I accidentally got sucked into

533
00:24:31,440 --> 00:24:34,200
Speaker 3: the Soul Semiconductor.

534
00:24:33,480 --> 00:24:35,560
Speaker 2: Booth that yet.

535
00:24:35,680 --> 00:24:39,320
Speaker 3: Okay, so these guys basically make the most baller semiconductors

536
00:24:39,320 --> 00:24:40,359
Speaker 3: you've ever seen in your life.

537
00:24:40,400 --> 00:24:40,600
Speaker 2: Sake.

538
00:24:41,040 --> 00:24:42,879
Speaker 3: I I walked it. It's a pretty big booth. They

539
00:24:42,880 --> 00:24:45,600
Speaker 3: did a cool thing where it was like they had

540
00:24:45,600 --> 00:24:50,480
Speaker 3: some really like uh, post apocalyptic messaging almost on the walls,

541
00:24:50,480 --> 00:24:52,080
Speaker 3: but I think in like a cool way, like an

542
00:24:52,160 --> 00:24:55,119
Speaker 3: environmental type of way. The thing they had on the

543
00:24:55,200 --> 00:24:59,000
Speaker 3: sign at the top was like like birth does not

544
00:24:59,119 --> 00:25:04,399
Speaker 3: guarantee six something like really you saw it.

545
00:25:04,400 --> 00:25:07,480
Speaker 4: Wow, It's like it's almost a unity, like it's a

546
00:25:07,520 --> 00:25:13,520
Speaker 4: people empowerment. Yeah yeah, and like people are meming the Okay.

547
00:25:12,840 --> 00:25:15,320
Speaker 2: I want to meet the guy you can swear like

548
00:25:15,440 --> 00:25:17,280
Speaker 2: you can say fucking shit and bowls and all the

549
00:25:17,320 --> 00:25:19,840
Speaker 2: other ones. H I love that as well, because I

550
00:25:19,840 --> 00:25:21,240
Speaker 2: want to meet the post thing reads then and goes

551
00:25:21,400 --> 00:25:25,240
Speaker 2: fuck well damn. Other than Jesse. I thought it was great.

552
00:25:25,240 --> 00:25:27,119
Speaker 3: So I walk immediately in and it's like a super

553
00:25:27,160 --> 00:25:29,679
Speaker 3: serious guy and he's like, hey, how's it going?

554
00:25:29,720 --> 00:25:31,160
Speaker 2: And I was like, hey, what's up?

555
00:25:31,240 --> 00:25:33,960
Speaker 3: You know, what are you guys doing, and like immediately

556
00:25:33,960 --> 00:25:37,360
Speaker 3: looking around and realizing there's nothing here that I know

557
00:25:37,520 --> 00:25:40,200
Speaker 3: what it is. So but he was saying like, hey,

558
00:25:40,200 --> 00:25:42,480
Speaker 3: we make all the LED backlights for like all of

559
00:25:42,520 --> 00:25:43,240
Speaker 3: the TVs.

560
00:25:43,320 --> 00:25:45,679
Speaker 2: I'm like, hey, I actually actually useful.

561
00:25:45,760 --> 00:25:48,359
Speaker 3: Great, you know, or they do like, you know, most

562
00:25:48,400 --> 00:25:50,719
Speaker 3: a lot of cars, new cars now especially have the

563
00:25:50,720 --> 00:25:53,119
Speaker 3: the LED headlights, tail lights and all that kind of stuff.

564
00:25:53,119 --> 00:25:55,439
Speaker 3: So clearly they do that stuff too. That's great. I

565
00:25:55,480 --> 00:25:59,439
Speaker 3: can't really make a joke about LED headlights. So I

566
00:25:59,520 --> 00:26:01,119
Speaker 3: kind of got stuck in a conversation with him for

567
00:26:01,119 --> 00:26:03,600
Speaker 3: about ten or fifteen minutes. But if you're just waiting

568
00:26:03,640 --> 00:26:05,800
Speaker 3: to make a joke, I just truly trying to get

569
00:26:05,800 --> 00:26:08,840
Speaker 3: out of there with yeah anything as just trying to

570
00:26:08,880 --> 00:26:13,040
Speaker 3: do something I didn't. I almost said like, oh, so

571
00:26:13,160 --> 00:26:14,919
Speaker 3: you're the guy I should be mad at when I

572
00:26:15,080 --> 00:26:17,080
Speaker 3: you know, the lights are really bright on the road

573
00:26:17,119 --> 00:26:19,399
Speaker 3: at night. But it looked like he wasn't even willing to,

574
00:26:19,520 --> 00:26:21,200
Speaker 3: like I wasn't gonna go.

575
00:26:21,200 --> 00:26:23,080
Speaker 2: Over at all. You'd just be like no, And then

576
00:26:23,119 --> 00:26:24,080
Speaker 2: he scanned.

577
00:26:23,720 --> 00:26:26,600
Speaker 1: My badge, Ah, he's going to send you an email.

578
00:26:26,680 --> 00:26:29,400
Speaker 2: I had to run away really fast from the badge.

579
00:26:29,600 --> 00:26:32,840
Speaker 2: The good thing is that with me, especially today, like

580
00:26:32,880 --> 00:26:35,080
Speaker 2: I'm fully energetic. So I'm just walking around with a

581
00:26:35,119 --> 00:26:38,080
Speaker 2: black mask and my eyes just fucking bulging out my

582
00:26:38,119 --> 00:26:40,240
Speaker 2: head and i walk really fast because I've done this

583
00:26:40,280 --> 00:26:43,040
Speaker 2: show so many times, I just I know exactly the route.

584
00:26:43,200 --> 00:26:45,359
Speaker 2: So you just see this high speed British man in

585
00:26:45,359 --> 00:26:49,119
Speaker 2: a Jensen hung style leather jacket, just fucking making a

586
00:26:49,160 --> 00:26:52,560
Speaker 2: beeline for you, taking three photos, going what's this? And

587
00:26:52,600 --> 00:26:55,679
Speaker 2: it's I actually apologize to anyone I've.

588
00:26:55,880 --> 00:26:58,560
Speaker 1: It sounds like a two dollars Horrd game on Steam.

589
00:27:00,040 --> 00:27:03,040
Speaker 2: But it becomes a hen Ti one lights out Henry.

590
00:27:03,359 --> 00:27:05,280
Speaker 2: What is so? Is that anything you've.

591
00:27:05,160 --> 00:27:08,000
Speaker 4: Liked as much as it can be the negative person

592
00:27:08,040 --> 00:27:09,720
Speaker 4: in any conversation actually.

593
00:27:09,520 --> 00:27:14,720
Speaker 2: Have three So that's three more than most tcl is. Do.

594
00:27:14,840 --> 00:27:17,600
Speaker 4: They have these next paper devices. They've then Matt screens

595
00:27:17,640 --> 00:27:20,439
Speaker 4: and stuff. Now they're doing something really actually great with it.

596
00:27:20,520 --> 00:27:22,800
Speaker 4: I think I expect Apple will have their own version

597
00:27:22,800 --> 00:27:24,560
Speaker 4: of in two to three years. This thing is the

598
00:27:24,600 --> 00:27:27,399
Speaker 4: next paper eleven plus tablet, which basically has a mode

599
00:27:27,640 --> 00:27:31,640
Speaker 4: where it switches into basically an e ink like screen mode,

600
00:27:31,920 --> 00:27:36,000
Speaker 4: which will a incredibly good battery life. Probably be let

601
00:27:36,080 --> 00:27:39,440
Speaker 4: your regular Android tablet become an e reader looking thing

602
00:27:39,920 --> 00:27:42,920
Speaker 4: has a Matt screen device. You know how Apple's got

603
00:27:42,920 --> 00:27:45,840
Speaker 4: the iMac and the iPad. Now with Matt screens, past

604
00:27:45,920 --> 00:27:50,439
Speaker 4: that technology onto an iPhone screen, put this mode on it,

605
00:27:50,520 --> 00:27:52,600
Speaker 4: and they're going to have battery life better than they've

606
00:27:52,640 --> 00:27:53,120
Speaker 4: ever had.

607
00:27:53,160 --> 00:27:54,600
Speaker 1: And then.

608
00:27:55,840 --> 00:27:59,520
Speaker 4: I'm not a huge fan of suitcase turntables. There's good reason.

609
00:27:59,720 --> 00:28:01,399
Speaker 4: I think Crosley's sort of ruined the idea of a

610
00:28:01,480 --> 00:28:04,840
Speaker 4: two kase certain table. But Victrola has one that has Hilariously,

611
00:28:04,920 --> 00:28:06,840
Speaker 4: I think it's has lighting in the front that.

612
00:28:06,800 --> 00:28:09,199
Speaker 2: You can sync up to the music. And it's seventy

613
00:28:09,240 --> 00:28:12,199
Speaker 2: five bucks, which called the Journey Glow I believe.

614
00:28:12,320 --> 00:28:15,520
Speaker 4: And it's like, if it's Victrolla is a trustable brand,

615
00:28:15,560 --> 00:28:17,000
Speaker 4: I feel like in sound. So it's like a a

616
00:28:17,000 --> 00:28:19,320
Speaker 4: s Kate ceranin table that doesn't ruin your records. And

617
00:28:19,359 --> 00:28:21,360
Speaker 4: they played Daft Punk on it. It sounds pretty good.

618
00:28:21,640 --> 00:28:23,760
Speaker 4: And then I told you about this earlier. Lenovo's got

619
00:28:23,760 --> 00:28:27,440
Speaker 4: a think Book plus Gen sixteen laptop, mouthful of a name,

620
00:28:27,680 --> 00:28:32,080
Speaker 4: but the laptop screen raises it basically rolls up inside

621
00:28:32,119 --> 00:28:34,280
Speaker 4: so you can give them more vertical but in the

622
00:28:34,320 --> 00:28:37,320
Speaker 4: same size. It's your normal laptop. I didn't get to

623
00:28:37,359 --> 00:28:39,320
Speaker 4: actually demo it because I had to run, but like,

624
00:28:40,080 --> 00:28:43,920
Speaker 4: that's the laptop changing in a great way, which we

625
00:28:43,960 --> 00:28:46,680
Speaker 4: don't say that often in this tech reviewer industry that

626
00:28:46,720 --> 00:28:47,520
Speaker 4: I get to play in.

627
00:28:47,960 --> 00:28:51,320
Speaker 2: Oh well, yeah, it feels kind of strange having someone

628
00:28:51,400 --> 00:28:53,800
Speaker 2: who remembers stuff they like, though.

629
00:28:54,320 --> 00:28:56,760
Speaker 1: I mean, actually, I'd be remiss not to bring this up.

630
00:28:56,960 --> 00:29:00,920
Speaker 1: Some of the stuff I liked here isn't even like electronics, Like, well,

631
00:29:00,920 --> 00:29:02,760
Speaker 1: half the stuff here is ant even electronics. It's like

632
00:29:02,800 --> 00:29:05,880
Speaker 1: the consumer product show. But there was this one company

633
00:29:06,160 --> 00:29:08,240
Speaker 1: they were the most popular booth at this event last

634
00:29:08,320 --> 00:29:11,600
Speaker 1: night that was selling like little metal strips that you

635
00:29:11,920 --> 00:29:14,080
Speaker 1: are advertising, little metal strips that you put on your

636
00:29:14,120 --> 00:29:16,520
Speaker 1: nose to like sleep better at night, and they work

637
00:29:16,600 --> 00:29:19,120
Speaker 1: fantastically better that I like, I've got sleep apne I

638
00:29:19,120 --> 00:29:22,080
Speaker 1: assume eighty percent of people that go see s of

639
00:29:22,200 --> 00:29:25,040
Speaker 1: sleep apia, So I mean it was it was wild.

640
00:29:25,120 --> 00:29:27,000
Speaker 1: There's like twenty people lined up and this guy was

641
00:29:27,040 --> 00:29:29,040
Speaker 1: like doing his like carny thing of like gluing these

642
00:29:29,080 --> 00:29:30,000
Speaker 1: two people's noses.

643
00:29:30,400 --> 00:29:34,240
Speaker 2: Well, this has been such a wonderful episode. We'll start

644
00:29:34,280 --> 00:29:35,880
Speaker 2: with you, Tom Tom. Where can People find You?

645
00:29:36,760 --> 00:29:41,080
Speaker 1: People can find me on x dot com at the

646
00:29:41,160 --> 00:29:44,200
Speaker 1: Tom Zone, or they can find me at Blue Sky

647
00:29:44,400 --> 00:29:47,479
Speaker 1: at Don't Judge Me, Captured two dot Besky dot Social.

648
00:29:47,720 --> 00:29:50,719
Speaker 2: He is kat Ted Jesse, where can People find You?

649
00:29:50,720 --> 00:29:53,880
Speaker 3: Your Kickstarter sucks is the podcast and go off Kings'

650
00:29:53,880 --> 00:29:57,680
Speaker 3: is the twitch stream. Jesse it's I think it's jessefar

651
00:29:57,840 --> 00:30:00,520
Speaker 3: dot com on Blue Sky and yell the links are

652
00:30:00,560 --> 00:30:00,960
Speaker 3: from there.

653
00:30:01,360 --> 00:30:04,920
Speaker 4: And Henry, I write primarily for CNN Underscored, which you

654
00:30:04,920 --> 00:30:07,760
Speaker 4: can open instantly just by typing in underscore dot com.

655
00:30:08,360 --> 00:30:10,880
Speaker 4: I also have a newsletter and all sorts of stuff

656
00:30:10,880 --> 00:30:13,960
Speaker 4: which is accessible if I'm Henry tkacy dot net. That's

657
00:30:14,000 --> 00:30:17,320
Speaker 4: Henry tca s e y dot net. And also that's

658
00:30:17,360 --> 00:30:18,520
Speaker 4: my luseky name too.

659
00:30:18,960 --> 00:30:20,640
Speaker 2: And as we close off this blook of the episode,

660
00:30:20,680 --> 00:30:22,560
Speaker 2: I just want to say something really quick before we

661
00:30:22,600 --> 00:30:24,760
Speaker 2: go to an ad break. Just want to say Henry

662
00:30:24,800 --> 00:30:26,880
Speaker 2: brought up daft punk. Daft Punk have not made a

663
00:30:27,000 --> 00:30:30,440
Speaker 2: good album since Discovery. Human after all is dogshit. It

664
00:30:30,520 --> 00:30:33,960
Speaker 2: is repeated bits, and I thought the soundtrack of Tron

665
00:30:34,240 --> 00:30:36,520
Speaker 2: was kind of boring. Come at me. I'm sick of

666
00:30:36,560 --> 00:30:39,640
Speaker 2: hearing about daft punk being good anytime. Recently Human after

667
00:30:39,680 --> 00:30:42,400
Speaker 2: all pissed me off so much. Anyway, coming up after

668
00:30:42,760 --> 00:30:45,040
Speaker 2: this ad break, we're gonna have even more wonderful people

669
00:30:45,040 --> 00:30:48,320
Speaker 2: from CES. And if Doppunk is listening, try not looping,

670
00:30:48,640 --> 00:30:52,000
Speaker 2: Try doing something interesting with your electronic music. You and me,

671
00:30:52,160 --> 00:31:07,160
Speaker 2: doph Punk. I'm sick of it. I just counted us

672
00:31:07,200 --> 00:31:09,720
Speaker 2: back in for an episode and I went three two one,

673
00:31:09,760 --> 00:31:11,840
Speaker 2: and I just want to be clear to the listeners

674
00:31:11,880 --> 00:31:15,840
Speaker 2: that I did two three four, I did four fingers up.

675
00:31:15,920 --> 00:31:19,320
Speaker 2: My brain is coming out of my goddamn ears. I

676
00:31:19,360 --> 00:31:22,360
Speaker 2: am dying, but I'm joined by amazing people. Nevertheless, ed

677
00:31:22,440 --> 00:31:24,400
Speaker 2: on Gwaiso Junior is to my right, of.

678
00:31:24,320 --> 00:31:26,960
Speaker 7: Course, Hello, how's everyone doing?

679
00:31:28,440 --> 00:31:32,000
Speaker 2: Jesse for of course your kickstarter sucks. Hello, And we

680
00:31:32,120 --> 00:31:36,120
Speaker 2: have the other one, Mike Hale from YKS, who is

681
00:31:36,480 --> 00:31:42,160
Speaker 2: fresh from a tech company called Cole's Tom McKay of

682
00:31:42,200 --> 00:31:45,400
Speaker 2: course from it Brow and we're back talking about CS.

683
00:31:45,400 --> 00:31:47,480
Speaker 2: But ed on Giso Junior, you've been on the main

684
00:31:47,800 --> 00:31:50,560
Speaker 2: the main hall, the main floor. How was how was that?

685
00:31:50,960 --> 00:31:52,880
Speaker 7: I mean, no, you would you be surprised if I

686
00:31:52,920 --> 00:31:56,960
Speaker 7: told you everything? Is powered by AI. Now every single thing,

687
00:31:57,360 --> 00:32:02,440
Speaker 7: please elaborate. You know I refrigerators.

688
00:32:01,960 --> 00:32:04,240
Speaker 2: Okay, to what ends?

689
00:32:04,760 --> 00:32:09,320
Speaker 7: Well, you know you you need something that recognizes what

690
00:32:09,520 --> 00:32:12,120
Speaker 7: time of day you decide to have certain types of

691
00:32:12,160 --> 00:32:16,000
Speaker 7: coffee and how much of that to keep.

692
00:32:15,800 --> 00:32:18,760
Speaker 2: And morning, right morning, right morning? Okay?

693
00:32:18,880 --> 00:32:19,200
Speaker 1: You know.

694
00:32:20,800 --> 00:32:23,640
Speaker 2: Freaking chica want to have it at lunch, you know?

695
00:32:23,840 --> 00:32:26,880
Speaker 7: Or whoa So you know there was a legal text, right,

696
00:32:27,720 --> 00:32:30,080
Speaker 7: But one that I was really interested in is this

697
00:32:30,400 --> 00:32:33,680
Speaker 7: company that is saying, hey, look, the future of technology

698
00:32:33,720 --> 00:32:37,800
Speaker 7: it's minimalism. We want to reconnect you with human nature.

699
00:32:37,800 --> 00:32:39,240
Speaker 7: And the way that we're going to do that the

700
00:32:39,280 --> 00:32:41,280
Speaker 7: way we're going to get you off your screen. We're

701
00:32:41,280 --> 00:32:43,560
Speaker 7: going to give you a headset that you have to

702
00:32:43,640 --> 00:32:46,560
Speaker 7: keep on for nine hours a day, and it will

703
00:32:46,760 --> 00:32:51,000
Speaker 7: give you uninterrupted access to your artificial intelligence suite of

704
00:32:51,680 --> 00:32:54,800
Speaker 7: arapists productivity assistance.

705
00:32:55,360 --> 00:32:58,920
Speaker 2: With human is with AI. Yes, but that's.

706
00:32:58,720 --> 00:33:01,040
Speaker 7: So that you can reconnect with you in nature, and

707
00:33:01,080 --> 00:33:04,720
Speaker 7: it will give you notifications by calling you. It will

708
00:33:04,960 --> 00:33:07,120
Speaker 7: forward you to therapists that you talk to, friends that

709
00:33:07,160 --> 00:33:11,120
Speaker 7: you talk to powered by Claude almost exclusively.

710
00:33:11,280 --> 00:33:14,200
Speaker 1: That sounds like something you pick up in the tutorial.

711
00:33:14,280 --> 00:33:15,480
Speaker 1: Level of like BioShock.

712
00:33:15,720 --> 00:33:19,840
Speaker 8: Yeah, yeah, you know, this is this is the tutorial.

713
00:33:19,960 --> 00:33:24,200
Speaker 8: Is this a big company or no, they are connected

714
00:33:24,480 --> 00:33:27,920
Speaker 8: with this other company. This is a this is a

715
00:33:27,920 --> 00:33:30,880
Speaker 8: side venture of another company.

716
00:33:30,400 --> 00:33:34,520
Speaker 2: Because it was the main hole. So the LVCC is

717
00:33:34,800 --> 00:33:39,560
Speaker 2: it's remarkable because it's it's so expensive to be that,

718
00:33:39,640 --> 00:33:41,719
Speaker 2: like we're talking about the economic cella. You're talking one

719
00:33:41,760 --> 00:33:43,880
Speaker 2: hundred grands through the dorm show. Yeah, and it's like,

720
00:33:43,960 --> 00:33:45,840
Speaker 2: so we're doing one hundred grand for this thing that

721
00:33:45,960 --> 00:33:48,600
Speaker 2: is just barely conceptual. Yeah.

722
00:33:48,600 --> 00:33:51,240
Speaker 7: That's also the thing, as they emphasize, most of these

723
00:33:51,240 --> 00:33:55,560
Speaker 7: things do not exist yet they have demos that the

724
00:33:55,640 --> 00:33:58,080
Speaker 7: demo did not work when I was there, what happened,

725
00:33:58,160 --> 00:34:01,719
Speaker 7: what happened, couldn't just couldn't even hear me, couldn't connect

726
00:34:01,720 --> 00:34:06,000
Speaker 7: to the internet, couldn't recognize any command whatsoever. They were like, well,

727
00:34:06,040 --> 00:34:07,640
Speaker 7: you know, see, actually the thing that happened is one

728
00:34:07,680 --> 00:34:09,720
Speaker 7: of our guys took the mic home, so it actually

729
00:34:09,760 --> 00:34:10,399
Speaker 7: works really well.

730
00:34:10,440 --> 00:34:14,319
Speaker 2: Come back with it. I have no idea that didn't

731
00:34:14,560 --> 00:34:17,520
Speaker 2: swing on it. He gets nervous, you know, he's playing

732
00:34:17,560 --> 00:34:18,200
Speaker 2: with it, you know.

733
00:34:20,320 --> 00:34:23,880
Speaker 7: But yeah, so this idea here is uninterrupted access to

734
00:34:23,960 --> 00:34:27,080
Speaker 7: an AI so that you can reconnect to your human nature,

735
00:34:27,719 --> 00:34:30,359
Speaker 7: which is to talk to a bunch of assistants.

736
00:34:30,520 --> 00:34:32,520
Speaker 1: Did they explain why this reconnections?

737
00:34:32,600 --> 00:34:36,040
Speaker 2: Yeah? Why would you? Don't you look at your screen? Okay,

738
00:34:36,080 --> 00:34:39,320
Speaker 2: so you talk to your microphone though, yeah, and that's different. Yeah,

739
00:34:39,520 --> 00:34:42,160
Speaker 2: it's very different. So you're no dopamine loop. Okay, so

740
00:34:42,200 --> 00:34:44,759
Speaker 2: you're looking at you you're not looking at a screen, right,

741
00:34:45,360 --> 00:34:47,799
Speaker 2: but you all talking to the microphone. Are you just

742
00:34:47,880 --> 00:34:49,520
Speaker 2: staring into the abyss y?

743
00:34:50,000 --> 00:34:52,759
Speaker 7: No, you're just walking around daily life, just like it's

744
00:34:52,760 --> 00:34:54,800
Speaker 7: just like doing something else he likes. But then he was,

745
00:34:55,320 --> 00:34:57,560
Speaker 7: you know, then they also you know, admit that. Oh yeah,

746
00:34:57,600 --> 00:34:59,359
Speaker 7: also to ask you to get on your phone a lot,

747
00:34:59,400 --> 00:35:04,759
Speaker 7: you know, way ahead.

748
00:35:04,480 --> 00:35:06,080
Speaker 2: Of you already on my phone.

749
00:35:06,239 --> 00:35:10,560
Speaker 1: Yeah. Yeah, it's it's a movie, except she's constantly remind you.

750
00:35:11,960 --> 00:35:13,800
Speaker 7: It's like, hey, remember to go on this website of

751
00:35:13,840 --> 00:35:15,799
Speaker 7: buy Gibbs. Hey, go take a picture of this. I

752
00:35:15,800 --> 00:35:18,440
Speaker 7: can analyze it and put it at a search engine. Hey,

753
00:35:18,880 --> 00:35:21,239
Speaker 7: go on this discord channel. Hey, you know, talk to

754
00:35:21,280 --> 00:35:23,520
Speaker 7: another you know, always constant notifications to.

755
00:35:23,480 --> 00:35:25,319
Speaker 2: Get back on your phone. But it's about getting off

756
00:35:25,360 --> 00:35:27,640
Speaker 2: your phone, right, And that's the thing. Katie the top

757
00:35:27,640 --> 00:35:29,759
Speaker 2: of the Severe Business Inside have said this last year

758
00:35:30,040 --> 00:35:32,680
Speaker 2: very thing. It's like, I love my phone. It's where

759
00:35:32,680 --> 00:35:35,279
Speaker 2: all my stuff is. Yeah, I like I'm on my

760
00:35:35,320 --> 00:35:37,400
Speaker 2: phone because I don't know, I don't have to look

761
00:35:37,400 --> 00:35:39,080
Speaker 2: at the real world. And who wants to do that.

762
00:35:39,480 --> 00:35:43,640
Speaker 3: The ultimate use case for the voice activated technology, right

763
00:35:43,800 --> 00:35:47,320
Speaker 3: has always been being in the car. Because we're in America.

764
00:35:47,400 --> 00:35:50,440
Speaker 3: Everyone drives a car. It's the most dangerous thing to do,

765
00:35:50,520 --> 00:35:52,160
Speaker 3: except for to try to put your drink on a

766
00:35:52,239 --> 00:35:52,880
Speaker 3: side table.

767
00:35:53,960 --> 00:35:58,800
Speaker 2: Okay, Jesse, I'm bost on my fucking podcast, Jesus Christ.

768
00:35:58,960 --> 00:36:02,480
Speaker 2: I just I just a party foul and it went

769
00:36:02,520 --> 00:36:05,880
Speaker 2: out and it went down like perfectly as well. So

770
00:36:05,920 --> 00:36:07,840
Speaker 2: it's like a really like it's a real.

771
00:36:07,719 --> 00:36:10,000
Speaker 1: Splute classic cartoon spill.

772
00:36:10,840 --> 00:36:13,319
Speaker 3: Well, well, well, it's really not your fault because the

773
00:36:13,360 --> 00:36:15,879
Speaker 3: side table has a slight rate.

774
00:36:15,960 --> 00:36:18,560
Speaker 9: It's like a there's a slight raised area in the

775
00:36:18,560 --> 00:36:19,600
Speaker 9: middle of the side table.

776
00:36:19,640 --> 00:36:21,840
Speaker 2: I mean, yeah, I'm like, I like have a knife

777
00:36:21,880 --> 00:36:25,400
Speaker 2: out and I'm just pointing to. When you think about it,

778
00:36:25,400 --> 00:36:28,600
Speaker 2: it's the table's fault. Yeah, the table that Yeah, that's right.

779
00:36:28,680 --> 00:36:30,440
Speaker 2: We're all met at the table obviously.

780
00:36:30,640 --> 00:36:32,520
Speaker 7: Yeah, that's right, Okay, that's why you should have picked

781
00:36:32,560 --> 00:36:34,200
Speaker 7: up a Semen smart table from.

782
00:36:36,200 --> 00:36:38,799
Speaker 2: A smart table. Did I wish that was real? I

783
00:36:38,840 --> 00:36:41,359
Speaker 2: wish there was a smart table a few years ago.

784
00:36:42,239 --> 00:36:45,880
Speaker 2: It was just a table the vessel table of course.

785
00:36:46,360 --> 00:36:48,400
Speaker 2: Thank you the beautiful ball tend to Phil brought and

786
00:36:48,400 --> 00:36:49,960
Speaker 2: I say it to clean up my mess? May I

787
00:36:50,000 --> 00:36:52,879
Speaker 2: have another place? I'm drinking something over the Laha, which

788
00:36:52,920 --> 00:36:55,680
Speaker 2: is Phill's Black Blood of the Earth with some vodka

789
00:36:56,280 --> 00:36:58,719
Speaker 2: and Irish cream. Thank you Phil. Anyway, what were we

790
00:36:58,800 --> 00:37:00,359
Speaker 2: talking about, ed so?

791
00:37:00,640 --> 00:37:02,879
Speaker 7: Oh yeah, And the name of the thing is it's

792
00:37:02,920 --> 00:37:08,080
Speaker 7: Italian for human nature. I'm forgetting this human nature natural

793
00:37:09,640 --> 00:37:12,920
Speaker 7: Jesus Christ. Do you see what else? What else was it?

794
00:37:13,080 --> 00:37:15,280
Speaker 2: I feel like finding out my coming home and finding

795
00:37:15,320 --> 00:37:16,960
Speaker 2: my kid is fucked up a bunch of shit, Like

796
00:37:17,080 --> 00:37:20,040
Speaker 2: like what else did you see that? I mean?

797
00:37:20,080 --> 00:37:22,279
Speaker 7: That was that was the one that pulled me in

798
00:37:22,320 --> 00:37:26,120
Speaker 7: because they had a giant banner that said AI people

799
00:37:26,200 --> 00:37:29,120
Speaker 7: underneath above it. Oh good, And I was like, oh okay,

800
00:37:29,360 --> 00:37:31,160
Speaker 7: so you know, I walked up and it's like, well,

801
00:37:31,320 --> 00:37:33,480
Speaker 7: where are the AI people? And then it's like, you know,

802
00:37:33,520 --> 00:37:35,719
Speaker 7: they have five or they have five phones on a

803
00:37:35,800 --> 00:37:39,360
Speaker 7: table and then another five us were some iPads and

804
00:37:39,400 --> 00:37:40,879
Speaker 7: then like they're in here and you.

805
00:37:40,920 --> 00:37:42,640
Speaker 2: Just put this on and they talk to you, but

806
00:37:42,680 --> 00:37:43,160
Speaker 2: they don't.

807
00:37:43,280 --> 00:37:46,400
Speaker 1: Yeah, this is something I noticed that all the AI

808
00:37:46,880 --> 00:37:49,000
Speaker 1: like this year seems to be marketed is like AI

809
00:37:49,239 --> 00:37:52,200
Speaker 1: for people, Like like they're like because it's finally reaching

810
00:37:52,200 --> 00:37:54,279
Speaker 1: a point where they're trying to create It feels like

811
00:37:54,320 --> 00:37:56,920
Speaker 1: they're trying to create the market for AI stuff by

812
00:37:56,960 --> 00:37:59,440
Speaker 1: forcing it on people. Yes, and in doing so they

813
00:37:59,480 --> 00:38:02,439
Speaker 1: kind of have to reassure them that this is not like.

814
00:38:03,960 --> 00:38:05,400
Speaker 2: You think it is.

815
00:38:05,680 --> 00:38:08,719
Speaker 1: Yeah it is, and it's like some of it's really bad.

816
00:38:08,800 --> 00:38:12,200
Speaker 2: Yeah, it's so funny as well, because I'm really like

817
00:38:12,400 --> 00:38:15,520
Speaker 2: the pig that they would sell slop to, Like I

818
00:38:15,560 --> 00:38:18,440
Speaker 2: love my gizmos and dudeads and apps and such. If

819
00:38:18,480 --> 00:38:21,600
Speaker 2: there was anyone to sell ship to, it's me. And

820
00:38:21,719 --> 00:38:25,000
Speaker 2: it's just not fun. It's boring. Like no use case.

821
00:38:25,160 --> 00:38:27,520
Speaker 9: Yeah, there's there's still no use It's like a fucking

822
00:38:27,560 --> 00:38:31,480
Speaker 9: whole industry built around finding the use case the technology,

823
00:38:31,520 --> 00:38:33,520
Speaker 9: and it just doesn't exact the entire show I met

824
00:38:33,520 --> 00:38:38,359
Speaker 9: with Coals and great cases for AI like if you

825
00:38:38,480 --> 00:38:41,240
Speaker 9: if you want say like a you know a larger

826
00:38:41,239 --> 00:38:44,319
Speaker 9: than normal type of hoodie sweater and they might not

827
00:38:44,400 --> 00:38:46,680
Speaker 9: have it. But you speak to an AI agent and

828
00:38:46,719 --> 00:38:47,760
Speaker 9: it will tell you to breathe.

829
00:38:48,800 --> 00:38:52,319
Speaker 2: I did walk over to important. I walked over to

830
00:38:52,360 --> 00:38:55,440
Speaker 2: a booth earlier that said AI agent. And this is

831
00:38:55,840 --> 00:38:58,840
Speaker 2: kind of me being a dickhead, but I spent what

832
00:38:59,000 --> 00:39:03,080
Speaker 2: kind of agent? Because uh, I'm like, oh, good, so

833
00:39:03,120 --> 00:39:06,080
Speaker 2: what model chat GPT? And like, great, so how is

834
00:39:06,120 --> 00:39:09,040
Speaker 2: this agentic? He goes I you talk to him like

835
00:39:09,120 --> 00:39:11,359
Speaker 2: that just sounds like chat GPT because yeah, but it's

836
00:39:11,400 --> 00:39:14,400
Speaker 2: an agent. I'm like, how he just looks at me terrified.

837
00:39:14,440 --> 00:39:18,360
Speaker 9: I don't understand how everybody's building these industries and businesses

838
00:39:18,400 --> 00:39:23,360
Speaker 9: and stuff around GPT subscriptions. Yes, it's like you're hooked

839
00:39:23,360 --> 00:39:26,000
Speaker 9: into like the chagp api and you're building a business

840
00:39:26,000 --> 00:39:26,680
Speaker 9: on top of that.

841
00:39:27,239 --> 00:39:27,479
Speaker 2: How.

842
00:39:27,800 --> 00:39:28,719
Speaker 9: I don't understand how.

843
00:39:28,840 --> 00:39:30,320
Speaker 2: And then the magic a venture.

844
00:39:31,440 --> 00:39:34,440
Speaker 1: I mean, I forget uh what economists I wrote about

845
00:39:34,480 --> 00:39:36,440
Speaker 1: for uh that said this, But it was like the

846
00:39:36,480 --> 00:39:38,800
Speaker 1: idea that like AI is almost now like a tax

847
00:39:39,239 --> 00:39:42,200
Speaker 1: on on like the rest of the tech industry, Like

848
00:39:42,200 --> 00:39:44,080
Speaker 1: it's like a software tax where you need to pay

849
00:39:44,120 --> 00:39:46,359
Speaker 1: to have it in your product because everybody else does,

850
00:39:46,880 --> 00:39:49,279
Speaker 1: and all it really does is is suck money out

851
00:39:49,320 --> 00:39:50,799
Speaker 1: of you know, everything else.

852
00:39:51,320 --> 00:39:53,560
Speaker 2: And it's great though, So I'm going to assume you

853
00:39:53,600 --> 00:39:55,040
Speaker 2: saw nothing useful, Like.

854
00:39:55,160 --> 00:39:58,360
Speaker 7: It's actually really funny because I was walking towards something

855
00:39:58,520 --> 00:40:00,960
Speaker 7: that's an AI agent, kind of like the Promised Land

856
00:40:00,960 --> 00:40:02,480
Speaker 7: when you hit me up and you said come back.

857
00:40:03,880 --> 00:40:06,000
Speaker 9: Did you guys see the toaster where you can print

858
00:40:06,200 --> 00:40:08,720
Speaker 9: uh photos of your loved ones.

859
00:40:08,640 --> 00:40:11,640
Speaker 2: On pieces that is actually real? Did you really see that?

860
00:40:14,840 --> 00:40:20,640
Speaker 7: We've actually yeah, you got me.

861
00:40:21,680 --> 00:40:26,719
Speaker 2: It's in the menu. You remember that we're gonna do

862
00:40:26,760 --> 00:40:28,719
Speaker 2: a few miracle Yeah, we're building up to the final

863
00:40:28,760 --> 00:40:30,840
Speaker 2: episode where I'm going to do something called the menu.

864
00:40:31,200 --> 00:40:34,720
Speaker 2: Hope everyone joins men lock the doors.

865
00:40:34,760 --> 00:40:38,600
Speaker 7: I think also the thing with the sunnatural Omana, whatever

866
00:40:38,600 --> 00:40:42,680
Speaker 7: the hell you know? The Italian name is similar to

867
00:40:42,719 --> 00:40:45,200
Speaker 7: your point about making markets. I feel like this one

868
00:40:45,239 --> 00:40:47,400
Speaker 7: is trying because they are like, the end goal is

869
00:40:47,400 --> 00:40:49,960
Speaker 7: to be able to make it connect to apps for you,

870
00:40:50,040 --> 00:40:51,719
Speaker 7: so you could go to your mom's house, you could

871
00:40:52,000 --> 00:40:54,239
Speaker 7: order movies or order in and it's like okay. So

872
00:40:54,320 --> 00:40:56,560
Speaker 7: I feel like they're trying to pretend as if or

873
00:40:56,560 --> 00:41:00,920
Speaker 7: they're trying to train people into accepting the discoppointment that

874
00:41:01,520 --> 00:41:05,720
Speaker 7: comes with insisting agents or around the corners exactly.

875
00:41:05,760 --> 00:41:07,759
Speaker 2: No, you're right, so AI agents are meant to be

876
00:41:07,800 --> 00:41:10,080
Speaker 2: these autonomous things and then never are.

877
00:41:10,239 --> 00:41:12,640
Speaker 7: But that's what we talked about that other episode. They're not,

878
00:41:12,840 --> 00:41:16,719
Speaker 7: but they keep misnaming things or presenting bullshit. So then

879
00:41:17,560 --> 00:41:19,760
Speaker 7: you know, I think this is part of the training

880
00:41:19,800 --> 00:41:21,600
Speaker 7: process where it's like, Okay, get with.

881
00:41:21,600 --> 00:41:22,560
Speaker 2: The training customers.

882
00:41:23,120 --> 00:41:25,760
Speaker 1: Like it feels like they're basically just like prepping people

883
00:41:25,800 --> 00:41:27,440
Speaker 1: to have Netflix scream at either.

884
00:41:27,320 --> 00:41:31,120
Speaker 7: Yeah, yeah, yeah, this is a this is a this

885
00:41:31,200 --> 00:41:33,000
Speaker 7: is pedantic, but like, this is the thing that really

886
00:41:33,160 --> 00:41:33,960
Speaker 7: drives me nuts.

887
00:41:34,480 --> 00:41:36,880
Speaker 3: Is is, like you were saying, training people to expect

888
00:41:36,880 --> 00:41:40,080
Speaker 3: certain things or to hear words and actually imagine something else,

889
00:41:40,480 --> 00:41:42,960
Speaker 3: Like algorithm is something that now means a bunch of

890
00:41:43,000 --> 00:41:46,759
Speaker 3: different things, where it's like now people like people who

891
00:41:46,840 --> 00:41:48,799
Speaker 3: I think for the most part share our mindset sort

892
00:41:48,840 --> 00:41:51,360
Speaker 3: of a skeptical mindset towards tech and and all that

893
00:41:51,520 --> 00:41:53,279
Speaker 3: kind of stuff. When we hear the word algorithm, like

894
00:41:53,280 --> 00:41:55,440
Speaker 3: our back gets up immediately because we think, oh, that's bad.

895
00:41:55,719 --> 00:41:57,719
Speaker 3: But it's like algorithm is not even bad. It's just

896
00:41:57,840 --> 00:42:02,320
Speaker 3: it's like a thought process and everything you like saying database, yeah, yeah, right, exactly,

897
00:42:02,440 --> 00:42:04,560
Speaker 3: everything has an algorithm in it. You're using an algorithm

898
00:42:04,600 --> 00:42:07,440
Speaker 3: when you make a decision. But now it's become it's

899
00:42:07,560 --> 00:42:10,759
Speaker 3: got this text stink grafted on to it, and now

900
00:42:10,800 --> 00:42:13,000
Speaker 3: we have to turn away. So eventually we'll go away

901
00:42:13,000 --> 00:42:15,360
Speaker 3: from AI, right, and it'll be like there's no algorithms

902
00:42:15,360 --> 00:42:17,760
Speaker 3: in this at all, And it's like, well, I don't know,

903
00:42:17,200 --> 00:42:18,680
Speaker 3: how's that possible?

904
00:42:18,840 --> 00:42:21,400
Speaker 2: It's smart. Well, It's what I like about that is

905
00:42:21,440 --> 00:42:24,960
Speaker 2: it's also describing a bunch of things that are not problems. Yeah,

906
00:42:25,000 --> 00:42:26,360
Speaker 2: Like no one is like, oh I had to go

907
00:42:26,400 --> 00:42:28,400
Speaker 2: if it's my fucking mom's house and not to another

908
00:42:28,560 --> 00:42:32,080
Speaker 2: movie that took I was like, oh fuck it, that

909
00:42:32,160 --> 00:42:36,560
Speaker 2: took me several seconds, Like that is a solved problem.

910
00:42:36,640 --> 00:42:38,520
Speaker 2: I'm not none of the things they've just gotten. Well,

911
00:42:38,560 --> 00:42:41,000
Speaker 2: how are you going to order dinner? I don't know,

912
00:42:41,760 --> 00:42:43,200
Speaker 2: I've never done that before.

913
00:42:43,600 --> 00:42:46,080
Speaker 1: Also, the idea that like if you and your spouse,

914
00:42:46,160 --> 00:42:48,520
Speaker 1: like let's say you and your spouse like take a

915
00:42:48,520 --> 00:42:50,600
Speaker 1: long time to set on a movie, that a robot

916
00:42:50,719 --> 00:42:53,359
Speaker 1: like interjecting in the middle of the conversation. It's gonna

917
00:42:53,400 --> 00:42:54,000
Speaker 1: speed this up.

918
00:42:54,080 --> 00:42:56,720
Speaker 2: It reminds me of one of my favorite click hole pieces.

919
00:42:57,760 --> 00:43:00,799
Speaker 2: Which of my garbage sons are you? And they're like, yeah,

920
00:43:00,800 --> 00:43:03,080
Speaker 2: we named one of our sons Launce and Blake. And

921
00:43:03,120 --> 00:43:05,120
Speaker 2: the reason they did that was because they picked two

922
00:43:05,239 --> 00:43:08,560
Speaker 2: names they didn't like and named that for one son,

923
00:43:08,920 --> 00:43:11,040
Speaker 2: which I think is kind of addicative of the Consumer

924
00:43:11,040 --> 00:43:13,080
Speaker 2: Electronics show entirely. It's like, we can't come up with

925
00:43:13,080 --> 00:43:15,160
Speaker 2: a good idea, so we chose five bad ones. So

926
00:43:15,239 --> 00:43:16,919
Speaker 2: what anything else you see over there?

927
00:43:18,000 --> 00:43:21,840
Speaker 7: I saw something where they were scanning your face to

928
00:43:22,320 --> 00:43:26,359
Speaker 7: present what your internal health looked like as an interactive

929
00:43:26,440 --> 00:43:34,080
Speaker 7: city where organs, what your organs, they interacted with each

930
00:43:34,080 --> 00:43:37,040
Speaker 7: other were depicted on the screen as if they were a.

931
00:43:38,440 --> 00:43:40,160
Speaker 1: Little cells walking around us.

932
00:43:40,320 --> 00:43:42,960
Speaker 3: No, it's literally just a city my doctor has been

933
00:43:43,000 --> 00:43:45,960
Speaker 3: wanting me to do, telling me it's like.

934
00:43:45,920 --> 00:43:48,080
Speaker 7: Hey, that abandoned part of town, you gotta get that

935
00:43:48,200 --> 00:43:48,640
Speaker 7: checked out.

936
00:43:49,120 --> 00:43:52,120
Speaker 2: Red. You're in a red state, just like your legs

937
00:43:52,200 --> 00:43:58,080
Speaker 2: just fucking fallen off. Deliver and it explained they say,

938
00:43:58,600 --> 00:44:02,279
Speaker 2: in a red state. I'm not saying I'm not saying

939
00:44:02,320 --> 00:44:04,719
Speaker 2: it's a problem other than the fact that the governance

940
00:44:04,800 --> 00:44:07,760
Speaker 2: might not be so big on the social services. Yeah,

941
00:44:08,000 --> 00:44:10,560
Speaker 2: we actually get vouchers for those, so it's not I

942
00:44:10,600 --> 00:44:12,360
Speaker 2: mean I get I get mine from every.

943
00:44:12,280 --> 00:44:15,840
Speaker 7: Time she asked to scan my face that I just

944
00:44:15,920 --> 00:44:18,080
Speaker 7: felt like I was being asked to put my skull

945
00:44:18,200 --> 00:44:20,040
Speaker 7: up to a measuring device.

946
00:44:20,160 --> 00:44:22,759
Speaker 10: It was just sit away from me.

947
00:44:23,320 --> 00:44:24,760
Speaker 2: I thought you were going to say that it scanned,

948
00:44:24,760 --> 00:44:25,880
Speaker 2: and it just went no no.

949
00:44:26,120 --> 00:44:28,560
Speaker 7: Every time it's like please, no, no, no, just an

950
00:44:31,040 --> 00:44:33,160
Speaker 7: oh wow, you know, would you step to the side.

951
00:44:34,120 --> 00:44:37,759
Speaker 7: You mentioned the waight here? Yeah, but what else?

952
00:44:37,800 --> 00:44:40,560
Speaker 2: Come on? There must be a thing I.

953
00:44:40,680 --> 00:44:43,000
Speaker 7: You know, I spent some time trying to look at

954
00:44:43,280 --> 00:44:46,640
Speaker 7: There's a lot of virtual twin digital twin stuff in

955
00:44:46,760 --> 00:44:53,160
Speaker 7: manufacturing and optimizing industrial operations, and this health system was,

956
00:44:53,400 --> 00:44:58,080
Speaker 7: uh was offshoot of this virtual twin thing where you know,

957
00:44:58,239 --> 00:44:59,840
Speaker 7: there were there were two or three boots set up

958
00:44:59,880 --> 00:45:01,480
Speaker 7: new to each other. Their idea is, if we can

959
00:45:01,520 --> 00:45:03,600
Speaker 7: scan you rea set up your virtual twin, you can

960
00:45:03,640 --> 00:45:05,600
Speaker 7: tweak with it, you can experiment with it. We'll give

961
00:45:05,600 --> 00:45:09,840
Speaker 7: you more insight into you. There were AI medical assistance

962
00:45:10,080 --> 00:45:14,319
Speaker 7: and AI caregivers kind of extending off what we were

963
00:45:14,360 --> 00:45:17,680
Speaker 7: talking about the other day, where it's like we are

964
00:45:17,719 --> 00:45:22,560
Speaker 7: going to give you very colorful, detailed and graphically designed

965
00:45:23,000 --> 00:45:28,120
Speaker 7: data and convince you to data. You know a lot

966
00:45:28,200 --> 00:45:31,239
Speaker 7: of it. It seemed to be basic metabolic.

967
00:45:30,760 --> 00:45:33,120
Speaker 2: Stuff, the stuff you could get likely already have.

968
00:45:33,320 --> 00:45:37,080
Speaker 7: Yes, right, but if you buy into you know, this

969
00:45:37,719 --> 00:45:41,040
Speaker 7: product or this application, buy into the ecosystem again, then

970
00:45:41,120 --> 00:45:44,560
Speaker 7: you'll be able to gain more insight into your your

971
00:45:44,600 --> 00:45:47,560
Speaker 7: stress or into concerning health.

972
00:45:47,760 --> 00:45:49,759
Speaker 2: Next time you see one of these companies, can you

973
00:45:49,800 --> 00:45:52,160
Speaker 2: just ask a very simple question, what am I meant

974
00:45:52,200 --> 00:45:57,080
Speaker 2: to do with all this data? Be healthy? Okay?

975
00:45:55,680 --> 00:45:59,839
Speaker 1: It metabolic health by scanning your nose?

976
00:46:00,000 --> 00:46:02,080
Speaker 2: These ones are different, these ones? Yeah that no, not

977
00:46:02,120 --> 00:46:04,280
Speaker 2: that that's insane, that would never happen.

978
00:46:04,360 --> 00:46:09,760
Speaker 1: Yes, yeah, yeah, yes, isn't that basically phrenology?

979
00:46:09,880 --> 00:46:10,160
Speaker 2: Yes?

980
00:46:10,600 --> 00:46:14,719
Speaker 7: In fact, I mean you know, yesterday I saw calipers

981
00:46:14,760 --> 00:46:17,440
Speaker 7: that was like, well, we are not a medical device,

982
00:46:18,000 --> 00:46:21,040
Speaker 7: but if you let us scan your skin, not if

983
00:46:21,040 --> 00:46:23,000
Speaker 7: you're black, because we don't have the technology for that.

984
00:46:23,080 --> 00:46:24,839
Speaker 7: But if you let us scan your skin, we can

985
00:46:24,840 --> 00:46:27,880
Speaker 7: tell what your blood sugar is, we can tell what

986
00:46:28,000 --> 00:46:32,640
Speaker 7: a host of other you know, metabolic indices are for you,

987
00:46:32,719 --> 00:46:35,160
Speaker 7: and we can determine what you stress is. You know,

988
00:46:35,200 --> 00:46:37,200
Speaker 7: whether you are eating correctly. What you need to do

989
00:46:37,239 --> 00:46:38,000
Speaker 7: to reind it back in?

990
00:46:38,120 --> 00:46:40,960
Speaker 3: Well, this is that's so sorry, that's what you said

991
00:46:41,000 --> 00:46:44,760
Speaker 3: is a huge problem. I mean that's like that's.

992
00:46:45,280 --> 00:46:47,040
Speaker 1: Currently does not support black people.

993
00:46:47,280 --> 00:46:52,080
Speaker 2: That's yeah, insane. Microsoft Connect Baby, there was a connect

994
00:46:52,120 --> 00:46:53,359
Speaker 2: on the floor, which I don't know if you saw.

995
00:46:53,600 --> 00:46:58,960
Speaker 2: Why well, because why not? We demoed a well so

996
00:46:59,320 --> 00:47:02,080
Speaker 2: this we what is that?

997
00:47:02,160 --> 00:47:04,160
Speaker 7: The court one the app there was like an abic

998
00:47:04,239 --> 00:47:06,759
Speaker 7: court thing where you like could ball ball up with

999
00:47:06,840 --> 00:47:08,080
Speaker 7: some people in we sports.

1000
00:47:08,160 --> 00:47:13,040
Speaker 3: It wasn't it actually wasn't that good. So I thought,

1001
00:47:13,200 --> 00:47:14,880
Speaker 3: as an outsider, I always thought.

1002
00:47:14,680 --> 00:47:19,439
Speaker 9: See a snowboard game and it tests your depression levels.

1003
00:47:20,480 --> 00:47:24,080
Speaker 2: We've never had readings this high before. Your score is wellness,

1004
00:47:26,960 --> 00:47:28,279
Speaker 2: we are calling your mother.

1005
00:47:31,120 --> 00:47:33,480
Speaker 3: It was so it's just a big TV or well

1006
00:47:33,520 --> 00:47:36,319
Speaker 3: it was a big gaming monitor, so already we're I thought.

1007
00:47:36,400 --> 00:47:38,280
Speaker 3: Ce S was like, this is where the newest, biggest

1008
00:47:38,320 --> 00:47:40,719
Speaker 3: TVs are, And that's true. I don't know where they are,

1009
00:47:40,760 --> 00:47:42,719
Speaker 3: but they're probably somewhere I see. I mean they're in

1010
00:47:42,760 --> 00:47:44,359
Speaker 3: the Las Vegas Convention cent Yeah.

1011
00:47:44,440 --> 00:47:45,520
Speaker 7: Yeah, there were some big us.

1012
00:47:45,640 --> 00:47:46,359
Speaker 2: There's DV.

1013
00:47:47,120 --> 00:47:48,920
Speaker 3: So this instead of being a TV, this was an

1014
00:47:48,920 --> 00:47:54,920
Speaker 3: eighty five inch gaming monitor. Okay, yeah, yeah, like crazy

1015
00:47:55,000 --> 00:47:59,520
Speaker 3: positive reaction to what I assumed was basically an impossible

1016
00:47:59,560 --> 00:48:02,399
Speaker 3: thing to use, because even like a forty inch TV

1017
00:48:02,480 --> 00:48:04,320
Speaker 3: in front of your face on the desk is like crazy.

1018
00:48:04,239 --> 00:48:07,000
Speaker 2: Ye yeah, this is not a desktop. This is like

1019
00:48:07,160 --> 00:48:07,960
Speaker 2: but why was sorry?

1020
00:48:07,960 --> 00:48:11,279
Speaker 1: I use a fifty inch screens like you are and

1021
00:48:11,320 --> 00:48:14,320
Speaker 1: a half in front of my BA you are crazed.

1022
00:48:15,480 --> 00:48:17,040
Speaker 1: I have to have to have windows at like one

1023
00:48:17,080 --> 00:48:18,400
Speaker 1: hundred and fifty percent zoom.

1024
00:48:18,600 --> 00:48:20,160
Speaker 2: My ex videos corner.

1025
00:48:21,320 --> 00:48:25,200
Speaker 3: Tom is laying down on the floor dangling over it.

1026
00:48:26,560 --> 00:48:29,160
Speaker 3: So it's really huge for a monitor. But also, if

1027
00:48:29,160 --> 00:48:30,719
Speaker 3: you want an eighty five inch thing, just get a TV.

1028
00:48:30,800 --> 00:48:32,520
Speaker 3: If you're gonna play console stuff on it, just get

1029
00:48:32,520 --> 00:48:35,120
Speaker 3: a TV. You don't need the super high refresh rate.

1030
00:48:35,200 --> 00:48:37,080
Speaker 3: And it's five K, it's not eight K. If you're

1031
00:48:37,080 --> 00:48:38,719
Speaker 3: gonna do something stupid, make it eight K. It makes

1032
00:48:38,800 --> 00:48:41,319
Speaker 3: no sense. Anyways. They seem like perfectly nice people, but

1033
00:48:41,360 --> 00:48:44,160
Speaker 3: it's a five K eighty five inch monitor and they

1034
00:48:44,239 --> 00:48:46,800
Speaker 3: had to demo it. They had like these little skis

1035
00:48:46,840 --> 00:48:49,200
Speaker 3: on the ground that I stepped on to dutifully, and

1036
00:48:49,239 --> 00:48:52,680
Speaker 3: I played an Xbox Connect game modded to run off

1037
00:48:52,680 --> 00:48:56,120
Speaker 3: of like a little Tashiba laptop that was plugged. It

1038
00:48:56,160 --> 00:48:58,799
Speaker 3: wasn't a fucking little first of all, it was my

1039
00:48:58,920 --> 00:49:01,240
Speaker 3: guy kept getting messed up because they put the wood

1040
00:49:01,320 --> 00:49:04,080
Speaker 3: on the on the ski slopes, which is like, why

1041
00:49:04,120 --> 00:49:05,880
Speaker 3: would there be wood on those downslope?

1042
00:49:05,920 --> 00:49:06,200
Speaker 1: Dude?

1043
00:49:06,280 --> 00:49:09,160
Speaker 2: This is a really high on the depression score, but

1044
00:49:11,680 --> 00:49:18,120
Speaker 2: why would you have that? Can we talk about the

1045
00:49:18,160 --> 00:49:21,600
Speaker 2: thing though, like, so, so you were bad at the

1046
00:49:21,600 --> 00:49:22,719
Speaker 2: ski game, we've established that.

1047
00:49:22,719 --> 00:49:24,600
Speaker 3: I don't think that's like that's what he said, that

1048
00:49:25,239 --> 00:49:28,120
Speaker 3: saying it's the worst debated narrative.

1049
00:49:28,280 --> 00:49:30,719
Speaker 2: I don't know if I believe it, but it was.

1050
00:49:30,800 --> 00:49:32,960
Speaker 3: Yeah, it was the demo, this gaming monitor, but using

1051
00:49:33,040 --> 00:49:34,719
Speaker 3: technology that's like fifteen years old.

1052
00:49:34,800 --> 00:49:36,319
Speaker 2: Didn't they just play an xpokes game?

1053
00:49:36,320 --> 00:49:39,280
Speaker 1: I don't know in the same uh kind of area.

1054
00:49:39,280 --> 00:49:41,480
Speaker 9: There was like a I tried on like an eyeglass

1055
00:49:41,520 --> 00:49:43,680
Speaker 9: thing or whatever, and it was like an Android app

1056
00:49:43,800 --> 00:49:47,040
Speaker 9: or something that was like nine by sixteen on like

1057
00:49:47,080 --> 00:49:49,920
Speaker 9: a display, and it was very it was cropped vertically

1058
00:49:49,960 --> 00:49:50,320
Speaker 9: and stuff.

1059
00:49:50,360 --> 00:49:51,160
Speaker 1: It looked very bad.

1060
00:49:51,200 --> 00:49:53,399
Speaker 2: But it was just like, you know.

1061
00:49:53,719 --> 00:49:57,200
Speaker 3: It's to Ed's point, why would you Okay, you're going

1062
00:49:57,280 --> 00:49:58,920
Speaker 3: to spend a ton of money, and it's a slush

1063
00:49:59,000 --> 00:50:01,520
Speaker 3: fund for the executive. Is okay, that's fine, have a

1064
00:50:01,520 --> 00:50:03,480
Speaker 3: good time or whatever. Why would it not be like,

1065
00:50:03,480 --> 00:50:05,520
Speaker 3: why wouldn't it not be like a finished product at

1066
00:50:05,520 --> 00:50:06,600
Speaker 3: any point in the thing?

1067
00:50:06,680 --> 00:50:08,480
Speaker 2: Yeah, I just don't. It feels like, just so, if

1068
00:50:08,480 --> 00:50:10,319
Speaker 2: you're demo ing a monitor, why not get something that

1069
00:50:10,400 --> 00:50:11,880
Speaker 2: looks good in this start to play?

1070
00:50:12,200 --> 00:50:15,719
Speaker 7: I think one thing I've been realizing and I didn't

1071
00:50:15,760 --> 00:50:19,960
Speaker 7: actually realize, is the case most of these things do

1072
00:50:20,000 --> 00:50:22,239
Speaker 7: not seem to be finished, and everyone's fine with that.

1073
00:50:23,160 --> 00:50:25,560
Speaker 7: I would have I actually like would look. I loved

1074
00:50:25,719 --> 00:50:28,200
Speaker 7: standing next to people and listening to them as they

1075
00:50:28,520 --> 00:50:30,719
Speaker 7: dealt with a fully unfinished product and be like.

1076
00:50:30,680 --> 00:50:32,640
Speaker 1: Oh well, I mean, it feels like a lot of

1077
00:50:32,640 --> 00:50:35,080
Speaker 1: this stuff is like ostensibly supposed to be a preview

1078
00:50:35,200 --> 00:50:38,320
Speaker 1: of what's coming, but the what's coming depends on whether

1079
00:50:38,360 --> 00:50:40,000
Speaker 1: anybody pays attention to their booth.

1080
00:50:40,120 --> 00:50:43,759
Speaker 2: Yeah, so I just pardon me for interrupting here on

1081
00:50:43,800 --> 00:50:47,799
Speaker 2: my podcast. I was looking through my pictures of things

1082
00:50:47,800 --> 00:50:50,040
Speaker 2: that had taken pictures of today, otherwise known as the

1083
00:50:50,040 --> 00:50:52,839
Speaker 2: photos app on my phone, and I found this thing

1084
00:50:52,880 --> 00:50:55,800
Speaker 2: called Alisa, Your Choice, Your Companion, and just showing everyone.

1085
00:50:55,840 --> 00:50:58,520
Speaker 2: It appears to be like some sort of horrifying metal

1086
00:50:58,560 --> 00:51:01,720
Speaker 2: face you put you and has some sort of AI companion.

1087
00:51:01,760 --> 00:51:05,080
Speaker 2: But I didn't read any of the highlighted characteristics, which,

1088
00:51:05,120 --> 00:51:07,759
Speaker 2: by the way, is what it says, and you go.

1089
00:51:07,880 --> 00:51:10,239
Speaker 2: It's a speaks your way, instantly, mimics and plays any

1090
00:51:10,320 --> 00:51:13,760
Speaker 2: voice you love, big promise, expressive and natural, sinks facial

1091
00:51:13,800 --> 00:51:16,520
Speaker 2: expressions perfectly with her speech and based on this image,

1092
00:51:16,560 --> 00:51:18,080
Speaker 2: No it does not. I want to fuck her.

1093
00:51:18,400 --> 00:51:21,240
Speaker 1: I was just gonna say, I already predict a primary market.

1094
00:51:21,400 --> 00:51:27,719
Speaker 2: Well, Jesse, you're about to regret saying that behaves different personalities. Yes,

1095
00:51:27,760 --> 00:51:29,520
Speaker 2: it behaves different personalities.

1096
00:51:29,840 --> 00:51:31,680
Speaker 3: There is a surprise from the back of attention to

1097
00:51:31,719 --> 00:51:33,080
Speaker 3: detail on stuff that's written.

1098
00:51:33,320 --> 00:51:35,799
Speaker 2: Well, there is some detail you wouldn't love, from a

1099
00:51:35,840 --> 00:51:40,160
Speaker 2: playful lolly to a confident bus lady, confident boss lady.

1100
00:51:40,160 --> 00:51:44,480
Speaker 2: I could see myself. Yeah, well, the lollipid much smart

1101
00:51:44,480 --> 00:51:47,600
Speaker 2: with a memory powered by advanced day I that remembers

1102
00:51:47,600 --> 00:51:51,320
Speaker 2: and adapts more customized service in replaceable silicon facial masks.

1103
00:51:51,800 --> 00:51:53,560
Speaker 3: You just got like a Oh, so it's a physical

1104
00:51:53,600 --> 00:51:55,920
Speaker 3: mass too, Yeah, but wait, is this just like a

1105
00:51:56,000 --> 00:51:57,480
Speaker 3: head that's yeah, yeah, yeah, yeah.

1106
00:51:57,400 --> 00:52:00,000
Speaker 7: Yeah, I'm showing back Sophia and we're bringing back.

1107
00:52:01,640 --> 00:52:03,719
Speaker 2: And this is tring your back body heart. So for

1108
00:52:03,760 --> 00:52:05,480
Speaker 2: people who are at C yes, I think you mentioned

1109
00:52:05,560 --> 00:52:07,239
Speaker 2: this before. The best ship you can find is on

1110
00:52:07,280 --> 00:52:10,120
Speaker 2: the fringes. You need to go to the back. You

1111
00:52:10,120 --> 00:52:11,560
Speaker 2: need to go to back and find the guy who's

1112
00:52:11,600 --> 00:52:15,200
Speaker 2: like Wooden Lamp, Like, the only honest guy at CS

1113
00:52:15,239 --> 00:52:17,800
Speaker 2: is the guy with And there was one there was

1114
00:52:17,840 --> 00:52:21,360
Speaker 2: one that just said Felix is hot. That's true, it

1115
00:52:21,480 --> 00:52:24,479
Speaker 2: is true. And I also love the names that power cube,

1116
00:52:24,520 --> 00:52:28,239
Speaker 2: semi ink, potential convergence smart Oh I need that.

1117
00:52:28,320 --> 00:52:28,799
Speaker 1: I need that.

1118
00:52:29,320 --> 00:52:32,920
Speaker 2: And there's a whole Kurzakhstan thing. Empower your innovations with

1119
00:52:33,080 --> 00:52:37,160
Speaker 2: like active polymers. Actually that sounds real. Manage your neck,

1120
00:52:37,239 --> 00:52:41,880
Speaker 2: shoulders and back through acupressure, massage and moxibustin. I fucking

1121
00:52:41,960 --> 00:52:43,680
Speaker 2: every time I walk around the show, I just see

1122
00:52:43,719 --> 00:52:45,440
Speaker 2: ship and I'm like, what do you did? You?

1123
00:52:45,560 --> 00:52:47,960
Speaker 1: Did you see the portable air conditioner you wear around

1124
00:52:47,960 --> 00:52:48,399
Speaker 1: your neck?

1125
00:52:49,239 --> 00:52:51,560
Speaker 2: It just like otherwise known as a fan.

1126
00:52:52,239 --> 00:52:53,600
Speaker 1: Last air at your ears.

1127
00:52:53,719 --> 00:52:56,240
Speaker 2: Yeah, that's a fan, we have those.

1128
00:52:56,239 --> 00:52:58,560
Speaker 1: But you you wear a fan around your neck? Huh? Yes?

1129
00:52:58,960 --> 00:53:01,080
Speaker 7: Hey, a fan is not gonna give you tenonitis.

1130
00:53:01,080 --> 00:53:04,080
Speaker 2: So I don't I have that already. I have that.

1131
00:53:04,160 --> 00:53:07,240
Speaker 2: I've had that since I was a child. Every moment

1132
00:53:07,360 --> 00:53:09,879
Speaker 2: is pain for me. So that's why we hit them. Yeah,

1133
00:53:10,200 --> 00:53:13,560
Speaker 2: so within this AI stuff, did you find the same

1134
00:53:13,560 --> 00:53:15,640
Speaker 2: thing as me, where it's just no one really knows

1135
00:53:15,640 --> 00:53:18,360
Speaker 2: what they're talking about, and when you ask them questions,

1136
00:53:18,400 --> 00:53:20,680
Speaker 2: they go chat GPT and if you ask them another question,

1137
00:53:20,760 --> 00:53:24,319
Speaker 2: they start having a panic attack or it.

1138
00:53:24,239 --> 00:53:27,560
Speaker 7: Seems a little frustration with asking why like the AI,

1139
00:53:27,640 --> 00:53:29,040
Speaker 7: And I'm like, well, it's because, like I'm trying to

1140
00:53:29,040 --> 00:53:31,439
Speaker 7: figure out if your it's generative bullshit or if it's

1141
00:53:31,480 --> 00:53:33,200
Speaker 7: an actual thing underneath.

1142
00:53:33,280 --> 00:53:35,920
Speaker 1: And when I'm talking to like industry experts, like analysts

1143
00:53:36,000 --> 00:53:38,279
Speaker 1: or like people that like are like has like trade

1144
00:53:38,280 --> 00:53:42,600
Speaker 1: associations and stuff, I get the strong sense that it's

1145
00:53:42,640 --> 00:53:45,040
Speaker 1: frustrating for them too, because they're being asked to weigh

1146
00:53:45,040 --> 00:53:48,520
Speaker 1: in on this market that's so nebulous and like and

1147
00:53:48,680 --> 00:53:50,880
Speaker 1: like it's impossible to tell whether any of this is

1148
00:53:50,920 --> 00:53:51,960
Speaker 1: actually going to pay off.

1149
00:53:52,120 --> 00:53:55,279
Speaker 2: Like it's just insane to me. We're like I was

1150
00:53:55,320 --> 00:53:59,640
Speaker 2: into this shit, Like my soul is being ripped away.

1151
00:54:00,040 --> 00:54:02,080
Speaker 3: There's something for that. If you go to the convention

1152
00:54:02,120 --> 00:54:03,880
Speaker 3: centers for they put the soul back into you.

1153
00:54:04,000 --> 00:54:05,640
Speaker 2: Oh yeah, actually you should.

1154
00:54:05,680 --> 00:54:08,160
Speaker 7: You should check out the demo for this human nature

1155
00:54:08,160 --> 00:54:10,040
Speaker 7: thing I was talking about. You know, you can talk

1156
00:54:10,080 --> 00:54:13,920
Speaker 7: to Athena, which is like the the wellness uh a

1157
00:54:14,040 --> 00:54:15,840
Speaker 7: ip boons a terrible.

1158
00:54:16,160 --> 00:54:18,279
Speaker 1: I like this. I like the soul cube idea. The

1159
00:54:18,280 --> 00:54:20,680
Speaker 1: thing that CS hasn't really gotten into yet is like

1160
00:54:20,760 --> 00:54:23,000
Speaker 1: crystals and energies. We need to bring that.

1161
00:54:23,200 --> 00:54:25,640
Speaker 2: I actually wonder how far you could go just making

1162
00:54:25,719 --> 00:54:26,240
Speaker 2: up ship.

1163
00:54:26,400 --> 00:54:31,080
Speaker 9: Get credits for how clean your soul is credit.

1164
00:54:31,320 --> 00:54:34,120
Speaker 1: Social yeah, soul based social credit system.

1165
00:54:34,239 --> 00:54:36,320
Speaker 2: I just think that I think that that's what pisses

1166
00:54:36,360 --> 00:54:39,080
Speaker 2: me off. This obviously some quasi fraulture that thing. Where

1167
00:54:39,160 --> 00:54:41,919
Speaker 2: is the real fraud? Where are the people? It's just like, yep,

1168
00:54:41,920 --> 00:54:42,719
Speaker 2: it's the soul cube.

1169
00:54:42,719 --> 00:54:46,440
Speaker 9: Do you ever see those guys who make those devices

1170
00:54:46,480 --> 00:54:51,280
Speaker 9: that are like like just measurers for like various body

1171
00:54:51,440 --> 00:54:53,319
Speaker 9: ship It's like this the pseudo.

1172
00:54:53,040 --> 00:54:55,440
Speaker 2: Science right right right yeah, yeah, and they still.

1173
00:54:55,320 --> 00:54:56,479
Speaker 9: Like the e meters or whatever.

1174
00:54:56,680 --> 00:54:58,480
Speaker 1: Yeah, yeah, why aren't they here?

1175
00:54:58,640 --> 00:55:03,239
Speaker 3: I actually get scientif booth or yeah, ghost hunting technology

1176
00:55:03,400 --> 00:55:04,400
Speaker 3: like your whole.

1177
00:55:04,200 --> 00:55:08,920
Speaker 1: Ghost's Probably they'll insist that CS is haunted.

1178
00:55:09,160 --> 00:55:11,600
Speaker 2: Y honestly, I want to do that one.

1179
00:55:11,640 --> 00:55:14,920
Speaker 1: Yeah, that's what the product demo fails are like. Actually,

1180
00:55:14,960 --> 00:55:15,879
Speaker 1: this is a good thing.

1181
00:55:16,840 --> 00:55:20,240
Speaker 7: The ghost is telling me you should invest forty million dollars.

1182
00:55:21,080 --> 00:55:28,480
Speaker 2: It's never done that. Yeah, Tam Tom, give me your

1183
00:55:28,480 --> 00:55:30,160
Speaker 2: phone right now. The ghost needs to see your idea,

1184
00:55:31,560 --> 00:55:33,560
Speaker 2: what's your what's yours?

1185
00:55:34,000 --> 00:55:37,640
Speaker 1: The ghost wants to scan your badge, shut your email address. Maybe.

1186
00:55:38,680 --> 00:55:41,040
Speaker 2: Yeah, it's that's the thing, Like, I don't mind if

1187
00:55:41,040 --> 00:55:45,759
Speaker 2: someone's just obviously scamming, Like, yeah, I'm a ghostbuster. I'm

1188
00:55:45,760 --> 00:55:48,920
Speaker 2: a ghostbuster. I'm with the ghostbusters and that's what I

1189
00:55:48,920 --> 00:55:50,840
Speaker 2: do here at CES. We spend one hundred and fifty

1190
00:55:50,840 --> 00:55:53,560
Speaker 2: thousand dollars in ghostbusting and if it breaks, you just go,

1191
00:55:53,840 --> 00:55:55,279
Speaker 2: you kind of ghost that's what you need us.

1192
00:55:55,719 --> 00:55:58,920
Speaker 3: Yeah, I think in reality, the real the really answer.

1193
00:55:59,000 --> 00:56:01,240
Speaker 3: I think maybe you knowing more about this than me.

1194
00:56:01,480 --> 00:56:04,400
Speaker 3: Probably somebody knows more than I do about something, although

1195
00:56:04,560 --> 00:56:07,480
Speaker 3: it's hard to imagine. I feel like the the reason

1196
00:56:07,480 --> 00:56:11,120
Speaker 3: that there's not like the level one gimmick grift guy

1197
00:56:11,320 --> 00:56:14,120
Speaker 3: on the floor is because, like with everything else, there's

1198
00:56:14,120 --> 00:56:16,560
Speaker 3: so many levels of detachment. Like you have a problem

1199
00:56:16,640 --> 00:56:18,160
Speaker 3: and you want to call somebody and yell at them

1200
00:56:18,160 --> 00:56:20,080
Speaker 3: about it or get it fixed, I guess if you want,

1201
00:56:20,320 --> 00:56:22,120
Speaker 3: But you can't because the person you talk to is

1202
00:56:22,160 --> 00:56:23,440
Speaker 3: not empowered to do anything for you.

1203
00:56:23,480 --> 00:56:24,280
Speaker 2: And that's on purpose.

1204
00:56:24,320 --> 00:56:26,400
Speaker 3: And now there's an extra layer of AI stuck in

1205
00:56:26,440 --> 00:56:28,600
Speaker 3: between you and even that person. But the people who

1206
00:56:28,600 --> 00:56:30,560
Speaker 3: show up on the floor, just like when you ask

1207
00:56:30,640 --> 00:56:33,160
Speaker 3: what is this chat GPT, that's literally all they know

1208
00:56:33,280 --> 00:56:35,799
Speaker 3: because the guy who makes the decision is so far away.

1209
00:56:35,800 --> 00:56:38,799
Speaker 2: And so it does not work. It doesn't work either, right, Yeah,

1210
00:56:39,000 --> 00:56:41,239
Speaker 2: But I think actually what I'm gonna stop doing is

1211
00:56:41,280 --> 00:56:43,880
Speaker 2: anytime I see AI, now I'm just going to replace

1212
00:56:43,920 --> 00:56:47,960
Speaker 2: the word with ghost. Yeah, okay, ghost, just like oh

1213
00:56:48,440 --> 00:56:52,640
Speaker 2: we have ghosts the machine. I might actually just stop

1214
00:56:52,760 --> 00:56:55,040
Speaker 2: peaking asking people about it, and I'll be like, is

1215
00:56:55,080 --> 00:56:59,000
Speaker 2: chech ghost? What's the ghost to? Just like that's chet GPT? Yeah,

1216
00:56:59,040 --> 00:57:03,480
Speaker 2: the ghost? The spirit? How do you get the spirit out? What?

1217
00:57:05,160 --> 00:57:07,080
Speaker 1: Why would you want to spirit out? The spirit does

1218
00:57:07,120 --> 00:57:08,160
Speaker 1: all the thinking for you.

1219
00:57:08,200 --> 00:57:11,120
Speaker 2: Just walk over. I'm very haunted. How are you gonna help?

1220
00:57:12,719 --> 00:57:15,720
Speaker 2: I generally don't do bits with any of the people

1221
00:57:15,719 --> 00:57:18,200
Speaker 2: here because just to be clear, the reason that no

1222
00:57:18,280 --> 00:57:20,520
Speaker 2: one should and some listeners have brought this up like oh,

1223
00:57:20,520 --> 00:57:22,320
Speaker 2: you should go and like yell at them. The poor

1224
00:57:22,360 --> 00:57:24,960
Speaker 2: fuckers who are on the floor. These are PR people,

1225
00:57:25,080 --> 00:57:28,360
Speaker 2: sometimes external PR people, or they're just like a marketing

1226
00:57:28,400 --> 00:57:31,080
Speaker 2: person who, to Jesse's point, is not empowered to answer

1227
00:57:31,120 --> 00:57:33,520
Speaker 2: a real question, and they have to deal with everyone

1228
00:57:33,560 --> 00:57:35,680
Speaker 2: at CS, and fifty percent of the people at CS

1229
00:57:35,720 --> 00:57:37,960
Speaker 2: are trying to make partnerships with other people that can't

1230
00:57:37,960 --> 00:57:40,480
Speaker 2: tell you what their products do. And it's like, oh,

1231
00:57:40,600 --> 00:57:44,560
Speaker 2: these and I admit, with the the company that claimed

1232
00:57:44,560 --> 00:57:48,200
Speaker 2: to like be a new hope for autism and dyslexia,

1233
00:57:48,400 --> 00:57:50,400
Speaker 2: I got a little heated, which is why I walked away.

1234
00:57:50,880 --> 00:57:52,560
Speaker 2: And do you want here for this? They claimed that

1235
00:57:52,800 --> 00:57:56,600
Speaker 2: they're smart glasses would help both dyslexia and autism, and

1236
00:57:56,920 --> 00:58:01,200
Speaker 2: my experience with that is that's bullshit. But it's yeah,

1237
00:58:01,200 --> 00:58:03,160
Speaker 2: there's a reason that you can't really put the boots

1238
00:58:03,240 --> 00:58:05,840
Speaker 2: these people, And I actually think it's deliberate. They want

1239
00:58:05,880 --> 00:58:08,320
Speaker 2: to put a layer of abstraction between them and the

1240
00:58:08,320 --> 00:58:10,600
Speaker 2: responsibility for their thing actually doing anything. So they've got

1241
00:58:10,600 --> 00:58:12,920
Speaker 2: a fucking marketing person and these people are there, and

1242
00:58:12,920 --> 00:58:15,800
Speaker 2: they're working like ten hour days doing like just standing

1243
00:58:15,840 --> 00:58:18,920
Speaker 2: there and if it's a bad show, you're just standing alone. Well,

1244
00:58:18,920 --> 00:58:20,600
Speaker 2: the marketers are the real heroes, aren't they, don't you

1245
00:58:20,640 --> 00:58:21,000
Speaker 2: find ye?

1246
00:58:21,080 --> 00:58:21,280
Speaker 1: Yeah?

1247
00:58:21,440 --> 00:58:22,200
Speaker 2: Basically troops.

1248
00:58:22,240 --> 00:58:22,880
Speaker 1: Yeah that's what.

1249
00:58:23,320 --> 00:58:28,200
Speaker 2: Except they drops more dangerous right than the troops. Okay,

1250
00:58:28,240 --> 00:58:30,840
Speaker 2: as we trundle towards the end. Edward Graso Junior. Where

1251
00:58:30,840 --> 00:58:31,840
Speaker 2: can people find you?

1252
00:58:31,840 --> 00:58:34,000
Speaker 7: You can find me on Twitter and blue Sky, Big

1253
00:58:34,040 --> 00:58:37,680
Speaker 7: Black Jacobin. You can find me my newsletter The Tech

1254
00:58:37,720 --> 00:58:41,600
Speaker 7: Bubble dot substack dot com, and my podcast dis Mission

1255
00:58:41,680 --> 00:58:42,800
Speaker 7: Kills where we talk about tech.

1256
00:58:42,880 --> 00:58:45,000
Speaker 2: Jesse Ferrah, Michael Hale. Where can people find you?

1257
00:58:45,280 --> 00:58:48,160
Speaker 3: Mike and myself host You're a Kickstarter Sucks and Mike,

1258
00:58:48,200 --> 00:58:50,280
Speaker 3: did we get the custom domain on blue Sky your

1259
00:58:50,360 --> 00:58:51,680
Speaker 3: kickstarter sucks dot com?

1260
00:58:52,040 --> 00:58:53,120
Speaker 1: I believe we did.

1261
00:58:53,200 --> 00:58:53,400
Speaker 6: Yeah.

1262
00:58:53,560 --> 00:58:56,360
Speaker 9: You can also find me at calls dot com, slash about,

1263
00:58:56,400 --> 00:58:58,240
Speaker 9: slash people dot html.

1264
00:58:59,080 --> 00:58:59,120
Speaker 11: No.

1265
00:58:59,240 --> 00:59:01,080
Speaker 3: I think Coles took on the about page because of

1266
00:59:01,160 --> 00:59:02,120
Speaker 3: the stuff that's going on.

1267
00:59:02,240 --> 00:59:04,400
Speaker 2: So you're not gonna they don't want people to find you,

1268
00:59:04,640 --> 00:59:10,040
Speaker 2: Just be clear. Michael's name is commonly dog Boner, Tom

1269
00:59:10,040 --> 00:59:11,400
Speaker 2: Where can people find You?

1270
00:59:11,400 --> 00:59:14,120
Speaker 1: You can find me at ibrew dot com or on

1271
00:59:14,240 --> 00:59:17,560
Speaker 1: Twitter at twitter dot com, slash the Tom zone, or

1272
00:59:18,160 --> 00:59:22,520
Speaker 1: on blue Sky at captured two dot beskuy dot social.

1273
00:59:26,240 --> 00:59:30,960
Speaker 1: That's embarrassing, enjoyed the blue guy and was like posting

1274
00:59:30,960 --> 00:59:33,800
Speaker 1: about how there's a scammer about like warning his people

1275
00:59:33,880 --> 00:59:35,560
Speaker 1: before immediately getting banned.

1276
00:59:36,240 --> 00:59:38,880
Speaker 2: And as the listeners know, I am your cult leader

1277
00:59:39,440 --> 00:59:42,000
Speaker 2: and you can find me. If there's an ad xetron,

1278
00:59:42,040 --> 00:59:44,320
Speaker 2: it's probably me, unless it isn't. And if you choose

1279
00:59:44,320 --> 00:59:47,400
Speaker 2: the wrong one, well that means you're not chosen. But

1280
00:59:47,480 --> 00:59:50,760
Speaker 2: if you need to spend your money from your hog

1281
00:59:50,800 --> 00:59:53,480
Speaker 2: slop job where you go out and you smash windows

1282
00:59:53,520 --> 00:59:55,560
Speaker 2: and you steal thinks some cars and new Conn people

1283
00:59:55,600 --> 00:59:58,960
Speaker 2: and you're walking around the street thinking where's my next victim, Well, well,

1284
00:59:59,000 --> 01:00:01,280
Speaker 2: I extract value from the well when you get your

1285
01:00:01,360 --> 01:00:04,680
Speaker 2: ill gotten gains, the next ads will probably be for

1286
01:00:04,760 --> 01:00:06,920
Speaker 2: something you can spend them on. Ideally, you want to

1287
01:00:06,960 --> 01:00:08,880
Speaker 2: operate in cash. If the's a digital you need a

1288
01:00:08,920 --> 01:00:13,439
Speaker 2: prepaid debit card, email me at was it Tom dot

1289
01:00:13,520 --> 01:00:18,680
Speaker 2: McKay no, sorry ed at East No, No, just a

1290
01:00:18,880 --> 01:00:35,480
Speaker 2: Google crime and that's where you find my email. And

1291
01:00:35,520 --> 01:00:37,520
Speaker 2: we're back and I assume you have bought or downloaded

1292
01:00:37,520 --> 01:00:39,360
Speaker 2: whatever it was. They just said if you didn't, that's

1293
01:00:39,360 --> 01:00:41,680
Speaker 2: a real personal insult to me, and you know, you

1294
01:00:41,720 --> 01:00:43,960
Speaker 2: know how I feel about that. So we've had a

1295
01:00:43,960 --> 01:00:46,400
Speaker 2: slight rotation. To my right is Tom McKay of it

1296
01:00:46,640 --> 01:00:47,600
Speaker 2: Brew of course.

1297
01:00:47,560 --> 01:00:48,320
Speaker 1: Eh, how's it going?

1298
01:00:48,680 --> 01:00:52,880
Speaker 2: And actually over across from me is Max Journey of Reuters. Hello, Internet,

1299
01:00:53,320 --> 01:00:57,160
Speaker 2: and thank you. I'm glad someone respects the computer. And

1300
01:00:57,240 --> 01:01:00,000
Speaker 2: Jesse fer Our of your Kickstarter sucks. Of course he's back.

1301
01:01:00,080 --> 01:01:01,960
Speaker 2: Well now I'll be on the left. He's on the

1302
01:01:02,040 --> 01:01:04,480
Speaker 2: left as he has not been. No, okay, come on,

1303
01:01:05,320 --> 01:01:08,320
Speaker 2: come on, whoa. So Max, I'm actually really excited to

1304
01:01:08,320 --> 01:01:11,840
Speaker 2: have you here because we've spent like several hours just

1305
01:01:11,880 --> 01:01:14,880
Speaker 2: like dunking on this. They're just like making fun of

1306
01:01:14,880 --> 01:01:17,400
Speaker 2: stuff and being annoyed at stuff. But you you are

1307
01:01:17,440 --> 01:01:21,880
Speaker 2: here covering chips and silicon and such. What have you seen?

1308
01:01:22,360 --> 01:01:24,520
Speaker 2: What has Nvidia done? Actually that's a great point. What's

1309
01:01:24,640 --> 01:01:26,960
Speaker 2: Nvidia come at this trip? Sure? Absolutely?

1310
01:01:27,000 --> 01:01:29,600
Speaker 12: I mean they've unveiled a few new things in terms

1311
01:01:29,600 --> 01:01:34,360
Speaker 12: of silicon. Specifically, they launched a computer called Digits, which

1312
01:01:34,400 --> 01:01:37,640
Speaker 12: is essentially one of their supercomputers compressed in some in

1313
01:01:37,680 --> 01:01:40,080
Speaker 12: something even smaller than Mac Minnie.

1314
01:01:40,080 --> 01:01:42,320
Speaker 2: And that's like the three thousand dollars one, right.

1315
01:01:42,160 --> 01:01:46,360
Speaker 12: That's the three thousand dollars one, Yeah, exactly, And so

1316
01:01:46,680 --> 01:01:48,880
Speaker 12: that that was kind of an interesting thing there. There

1317
01:01:48,920 --> 01:01:51,640
Speaker 12: have been we've reported that they're going to make PC

1318
01:01:51,840 --> 01:01:56,520
Speaker 12: chips themselves. So this is potentially on the road to

1319
01:01:57,120 --> 01:02:01,160
Speaker 12: producing some kind of laptop or our desktop PC trip themselves.

1320
01:02:01,240 --> 01:02:04,240
Speaker 2: So when you say, what is this machine for? This

1321
01:02:04,400 --> 01:02:06,520
Speaker 2: three thousand dollars in video compute, because I've seen a

1322
01:02:06,520 --> 01:02:08,240
Speaker 2: ton of coverage but no one will actually tell me

1323
01:02:08,280 --> 01:02:09,520
Speaker 2: what it's for.

1324
01:02:09,960 --> 01:02:13,960
Speaker 12: Well, it looks like mostly it's for researchers and people

1325
01:02:13,960 --> 01:02:19,240
Speaker 12: that want to do experiments with AI or code with AI,

1326
01:02:19,560 --> 01:02:26,120
Speaker 12: or essentially just do things that require giant computers sort

1327
01:02:26,120 --> 01:02:27,920
Speaker 12: of on a smaller on a small scale.

1328
01:02:27,960 --> 01:02:30,920
Speaker 2: So is it generative AI focused or well, I mean.

1329
01:02:31,080 --> 01:02:34,280
Speaker 12: Of course you can run generative AI apps with it,

1330
01:02:33,960 --> 01:02:36,560
Speaker 12: but they they've sort of pitched it as something that

1331
01:02:36,560 --> 01:02:39,000
Speaker 12: that was geared for researchers and develop testing.

1332
01:02:39,120 --> 01:02:42,040
Speaker 2: Yeah, because the way it's being reported is by other

1333
01:02:42,080 --> 01:02:45,480
Speaker 2: people is that it's some sort of replacement for the

1334
01:02:45,680 --> 01:02:48,560
Speaker 2: large scale GPUs that are being used for like inference

1335
01:02:48,720 --> 01:02:51,200
Speaker 2: for so, inference being the thing when you make a

1336
01:02:51,240 --> 01:02:54,280
Speaker 2: request from chat GPT for example, and it generates NONSA.

1337
01:02:54,440 --> 01:02:56,560
Speaker 2: So it's not really for that. That's not the business

1338
01:02:56,680 --> 01:02:57,160
Speaker 2: use case.

1339
01:02:57,680 --> 01:02:59,960
Speaker 12: It didn't look like it to me. It looked like,

1340
01:03:00,000 --> 01:03:01,640
Speaker 12: I mean, maybe you can run of course, I'm sure

1341
01:03:01,680 --> 01:03:03,240
Speaker 12: you could probably run out on it, but of course,

1342
01:03:03,240 --> 01:03:06,320
Speaker 12: but it looks like it's set up design for you know,

1343
01:03:06,360 --> 01:03:09,640
Speaker 12: somebody who wants a computer in their office or I

1344
01:03:09,680 --> 01:03:12,080
Speaker 12: don't know, at their university or whatever, just given the

1345
01:03:12,080 --> 01:03:14,440
Speaker 12: price point. And you know, the setup it showed was

1346
01:03:14,480 --> 01:03:17,320
Speaker 12: with a monitor and a keyboard and a mouse, and

1347
01:03:17,400 --> 01:03:20,320
Speaker 12: so it's it's definitely like a it's like a personal computer.

1348
01:03:20,400 --> 01:03:22,240
Speaker 2: Effectively. It runs Linux.

1349
01:03:22,600 --> 01:03:24,920
Speaker 12: So that also means it's probably not a consumer machine,

1350
01:03:25,080 --> 01:03:27,280
Speaker 12: right because most consumers are not gonna are not willing

1351
01:03:27,280 --> 01:03:29,120
Speaker 12: to learn how to use Linux or won't do it

1352
01:03:29,200 --> 01:03:29,920
Speaker 12: or whatever.

1353
01:03:29,680 --> 01:03:31,280
Speaker 2: So it should be able to run like eleven Chrome

1354
01:03:31,320 --> 01:03:34,960
Speaker 2: tabs on it. So so I hate to do this,

1355
01:03:35,040 --> 01:03:37,680
Speaker 2: Maxie mind turning a microphone just slightly. We've had a

1356
01:03:37,760 --> 01:03:40,880
Speaker 2: late entrant. We've had we have the wonderful Matt Benda

1357
01:03:40,880 --> 01:03:42,720
Speaker 2: who made his way up here. Thank you man, Matt,

1358
01:03:42,920 --> 01:03:43,680
Speaker 2: thanks for having me.

1359
01:03:43,720 --> 01:03:46,400
Speaker 10: Yet it's finally we met you.

1360
01:03:46,560 --> 01:03:48,240
Speaker 2: Matt Bender and I have been on this podcast like

1361
01:03:48,280 --> 01:03:50,920
Speaker 2: three or four times of course scam Economy.

1362
01:03:50,680 --> 01:03:53,320
Speaker 10: Yes, yes, and we've never met him, he's.

1363
01:03:53,160 --> 01:03:54,600
Speaker 2: Never met in personal and now we have he's on

1364
01:03:54,640 --> 01:03:57,520
Speaker 2: my podcast. So Max, back to back to you for

1365
01:03:57,560 --> 01:04:00,480
Speaker 2: a question. So what else was announced in general with

1366
01:04:00,520 --> 01:04:02,760
Speaker 2: Silicon on this with the hardware in general?

1367
01:04:02,920 --> 01:04:08,040
Speaker 12: Absolutely, I mean the as always with the big chip makers,

1368
01:04:08,080 --> 01:04:12,240
Speaker 12: they announce new PC usually Gaming Stuff and Video announced

1369
01:04:12,440 --> 01:04:15,000
Speaker 12: a bunch of new new line of gaming chips, the

1370
01:04:15,840 --> 01:04:19,520
Speaker 12: RTX fifty series. They're claiming the low end on that

1371
01:04:19,840 --> 01:04:24,880
Speaker 12: series is able to deliver performance that's capable of what

1372
01:04:25,000 --> 01:04:27,880
Speaker 12: the high end of the current RTX series really So yeah,

1373
01:04:27,880 --> 01:04:30,360
Speaker 12: they use a technique called d LSS, which is just

1374
01:04:30,400 --> 01:04:32,800
Speaker 12: a fancy way of saying they use AI to predict

1375
01:04:32,800 --> 01:04:34,320
Speaker 12: what the next frame in the game is going to

1376
01:04:34,320 --> 01:04:36,520
Speaker 12: look like. At the moment they're rendering two frames at once.

1377
01:04:36,720 --> 01:04:38,480
Speaker 12: This one can render four frames it once. But it's

1378
01:04:38,600 --> 01:04:40,400
Speaker 12: on the hardware side, not on the hardware side.

1379
01:04:40,640 --> 01:04:42,320
Speaker 2: Yeah, yeah, it's all This is all hardware. And this

1380
01:04:42,360 --> 01:04:45,400
Speaker 2: is differentiated from when you say I AI. This is

1381
01:04:45,440 --> 01:04:49,600
Speaker 2: separate to generative AI this. I don't know exactly how

1382
01:04:49,640 --> 01:04:52,000
Speaker 2: it works, right, just because the DLSS has been around

1383
01:04:52,000 --> 01:04:54,640
Speaker 2: for longer than the current boom though, yeah oh yeah

1384
01:04:54,680 --> 01:04:57,160
Speaker 2: yeah ds D LSS has been around for I don't know,

1385
01:04:57,200 --> 01:04:58,640
Speaker 2: four or five years. I want to say, but don't

1386
01:04:59,080 --> 01:05:00,680
Speaker 2: on that on that particul we don't know things say

1387
01:05:00,720 --> 01:05:04,000
Speaker 2: don't worry, but okay, let's move you up to Matt Binder.

1388
01:05:04,040 --> 01:05:06,960
Speaker 2: Of course, Matt, what have you seen so far? What

1389
01:05:07,000 --> 01:05:09,200
Speaker 2: have you been cursed with on this eternal trip?

1390
01:05:09,320 --> 01:05:11,720
Speaker 11: I've been covering a lot of like weird stuff, and

1391
01:05:12,200 --> 01:05:15,280
Speaker 11: I do a lot of AR glasses And how are those?

1392
01:05:15,680 --> 01:05:15,880
Speaker 1: You know?

1393
01:05:16,120 --> 01:05:16,240
Speaker 2: Uh?

1394
01:05:17,000 --> 01:05:19,200
Speaker 11: I have yet to find one that I could actually

1395
01:05:19,320 --> 01:05:22,480
Speaker 11: what it would actually use. Like, sure, you put them

1396
01:05:22,480 --> 01:05:24,840
Speaker 11: on and they're cool to like see because some of

1397
01:05:24,840 --> 01:05:27,160
Speaker 11: them have different ways of doing things, but like there

1398
01:05:27,240 --> 01:05:30,560
Speaker 11: was one for example that like there's there's no lens

1399
01:05:30,640 --> 01:05:33,520
Speaker 11: and usually the the it's the holiday.

1400
01:05:33,120 --> 01:05:36,400
Speaker 2: Glasses, and usually holiday glass holidays.

1401
01:05:36,480 --> 01:05:41,080
Speaker 11: So there are basically aar glasses where the mean holiday

1402
01:05:41,160 --> 01:05:42,040
Speaker 11: like a name holiday.

1403
01:05:42,120 --> 01:05:44,120
Speaker 2: Yes that's what I'm just British, that's my problem.

1404
01:05:44,280 --> 01:05:48,439
Speaker 11: Yes, uh so basically the AR part isn't built into

1405
01:05:48,520 --> 01:05:50,960
Speaker 11: the lens, It's built into the rim. Okay, so it's

1406
01:05:51,000 --> 01:05:54,280
Speaker 11: a little like, uh a circular screen where basically put

1407
01:05:54,320 --> 01:05:56,520
Speaker 11: the glasses on and your eye is meant to look

1408
01:05:56,560 --> 01:05:58,120
Speaker 11: at the circular screen.

1409
01:05:58,040 --> 01:05:58,800
Speaker 10: Above the lens.

1410
01:05:59,200 --> 01:06:00,440
Speaker 2: That's where generally look.

1411
01:06:00,760 --> 01:06:04,160
Speaker 11: Yeah, of course, and I I couldn't use it without

1412
01:06:04,160 --> 01:06:04,880
Speaker 11: going cross eyed.

1413
01:06:05,000 --> 01:06:05,760
Speaker 10: I immediately was.

1414
01:06:05,720 --> 01:06:10,320
Speaker 2: Going say, I love the experience of being heard by things.

1415
01:06:10,040 --> 01:06:13,000
Speaker 11: Right right, So, I mean the idea is interesting, but

1416
01:06:13,280 --> 01:06:15,560
Speaker 11: you know, I think for me, though, the thing at

1417
01:06:15,560 --> 01:06:18,480
Speaker 11: CES is always what's not here anymore?

1418
01:06:19,040 --> 01:06:19,480
Speaker 2: How do you mean?

1419
01:06:19,640 --> 01:06:22,560
Speaker 11: Like what like like you can see where the tech

1420
01:06:22,600 --> 01:06:26,360
Speaker 11: industry thinks it's going based on what has just disappeared

1421
01:06:26,360 --> 01:06:30,040
Speaker 11: from the previous years, like what buzzwords? Are companies staying

1422
01:06:30,120 --> 01:06:33,479
Speaker 11: away from that they used to proudly say they were back,

1423
01:06:33,600 --> 01:06:35,240
Speaker 11: you know, last year or the year before, like what

1424
01:06:35,480 --> 01:06:37,160
Speaker 11: Like I came here two years ago for the first time,

1425
01:06:37,160 --> 01:06:41,200
Speaker 11: and every company had to say they were doing something

1426
01:06:41,240 --> 01:06:45,520
Speaker 11: in the metaverse. Hell yeah, every company was a metaverse company.

1427
01:06:46,120 --> 01:06:48,479
Speaker 10: And this year I don't think you could even find

1428
01:06:48,480 --> 01:06:48,880
Speaker 10: the word.

1429
01:06:49,000 --> 01:06:50,960
Speaker 2: Well I did. I found a metaverse and quant to

1430
01:06:51,000 --> 01:06:54,360
Speaker 2: my panel that I missed a panel though is there

1431
01:06:54,400 --> 01:06:56,880
Speaker 2: actually any metaverse product. I don't know because I missed it,

1432
01:06:56,920 --> 01:06:59,840
Speaker 2: which makes the trip of failure. So did you see

1433
01:06:59,840 --> 01:07:02,440
Speaker 2: any thing you enjoyed? Was it mostly pain?

1434
01:07:03,280 --> 01:07:06,440
Speaker 11: I mean there's stuff that I've seen that worked, but

1435
01:07:06,840 --> 01:07:13,560
Speaker 11: I don't think i'd ever heard, like, like, the weirdest

1436
01:07:13,600 --> 01:07:15,800
Speaker 11: thing I saw is hands down that I don't know

1437
01:07:15,840 --> 01:07:19,960
Speaker 11: if you've seen it, the electric salt spoon. No, okay,

1438
01:07:20,000 --> 01:07:23,680
Speaker 11: it's by this Japanese company named Kiran, and it's actually

1439
01:07:23,800 --> 01:07:27,440
Speaker 11: available in Japan, So that's already ticking off a rarity

1440
01:07:27,560 --> 01:07:28,480
Speaker 11: at a ces.

1441
01:07:28,760 --> 01:07:30,920
Speaker 10: It's something that's actually in stores and available.

1442
01:07:32,200 --> 01:07:35,600
Speaker 11: So basically their goal is to let have people eat

1443
01:07:35,680 --> 01:07:38,280
Speaker 11: less salt, and they want to make your low sodium

1444
01:07:38,280 --> 01:07:41,960
Speaker 11: food taste saltier without actually adding salt. So how do

1445
01:07:42,040 --> 01:07:44,560
Speaker 11: they make it taste better? They send an electric current

1446
01:07:44,560 --> 01:07:45,880
Speaker 11: through the spoon to your tongue.

1447
01:07:49,120 --> 01:07:52,360
Speaker 2: So just so we're clear, Yeah, just so we're clear,

1448
01:07:52,880 --> 01:07:56,760
Speaker 2: thinking to disassociate life on air, it's a special spoon.

1449
01:07:57,080 --> 01:07:58,240
Speaker 10: It's a special spoon.

1450
01:07:58,640 --> 01:08:02,440
Speaker 11: Oh good, And I mean listen, it worked. Wow, Like

1451
01:08:02,640 --> 01:08:05,960
Speaker 11: the food did taste a bit saltier. And I know

1452
01:08:06,080 --> 01:08:07,480
Speaker 11: because I thought at first I thought it was like

1453
01:08:07,480 --> 01:08:10,080
Speaker 11: a placebo effect, like, oh, they told me it tastes saltier,

1454
01:08:10,080 --> 01:08:11,720
Speaker 11: so my brain now thinks it's saltier.

1455
01:08:12,000 --> 01:08:13,680
Speaker 10: But then I fucked up the usage.

1456
01:08:13,440 --> 01:08:14,680
Speaker 2: Of Merovingian shit.

1457
01:08:14,880 --> 01:08:16,760
Speaker 11: Yeah, but then I messed up while using it and

1458
01:08:16,800 --> 01:08:19,080
Speaker 11: it turned off midi soup.

1459
01:08:18,920 --> 01:08:24,160
Speaker 10: They provided, and then so my spoon broke right.

1460
01:08:24,040 --> 01:08:26,439
Speaker 11: So the soup actually did taste less saltier as I'm

1461
01:08:26,479 --> 01:08:29,120
Speaker 11: drinking it when the machine shut off. So I was like, oh, wow,

1462
01:08:29,160 --> 01:08:32,120
Speaker 11: it works. But also I would never buy this one

1463
01:08:32,240 --> 01:08:33,679
Speaker 11: hundred and thirty dollars spoon.

1464
01:08:33,520 --> 01:08:35,160
Speaker 1: Wetter My spoon's uncharged.

1465
01:08:36,800 --> 01:08:39,160
Speaker 2: But actually, yeah, so did they have a battery?

1466
01:08:39,960 --> 01:08:44,360
Speaker 10: It was like, yeah, it was a battery powered spoon. Yeah,

1467
01:08:44,439 --> 01:08:45,680
Speaker 10: so assuming.

1468
01:08:45,439 --> 01:08:48,120
Speaker 2: You have multiple people eating in your house.

1469
01:08:48,200 --> 01:08:52,120
Speaker 11: Right, So the spoon handle and the the actual ladle

1470
01:08:52,320 --> 01:08:55,000
Speaker 11: or whatever you'd call it, they're separate parts, so you

1471
01:08:55,080 --> 01:08:55,679
Speaker 11: can replace.

1472
01:08:55,880 --> 01:08:58,559
Speaker 2: Oh good, I love my spoon to be multi multiple parts.

1473
01:08:58,640 --> 01:09:01,760
Speaker 11: Yes, yes, safely, only two, though they could have went

1474
01:09:01,840 --> 01:09:02,559
Speaker 11: really crazy with.

1475
01:09:02,520 --> 01:09:05,800
Speaker 2: It, so you'd need like these Was it actually one

1476
01:09:05,840 --> 01:09:06,839
Speaker 2: hundred and thirty dollars?

1477
01:09:07,160 --> 01:09:09,160
Speaker 11: I believe it was like one hundred in Japan, though

1478
01:09:09,160 --> 01:09:10,439
Speaker 11: they're not stunging in the us yet.

1479
01:09:10,400 --> 01:09:12,439
Speaker 2: Yeah they got money though. Yeah.

1480
01:09:11,880 --> 01:09:16,080
Speaker 10: Uh, I mean then the to me, it's like the ideas.

1481
01:09:16,080 --> 01:09:18,120
Speaker 2: I find, I must find the spoon. Where's the spoon?

1482
01:09:18,280 --> 01:09:21,519
Speaker 10: It was at the first night the media Knight unveiled.

1483
01:09:21,560 --> 01:09:23,200
Speaker 10: I don't know where you're from.

1484
01:09:23,280 --> 01:09:25,720
Speaker 2: Me. I don't made a look at that spoons. You

1485
01:09:25,720 --> 01:09:28,920
Speaker 2: need to buy multiple ones of these extensively. You're right, right,

1486
01:09:29,240 --> 01:09:32,040
Speaker 2: some rich oss guys like, yeah, now you don't need

1487
01:09:32,360 --> 01:09:33,479
Speaker 2: much salt at all.

1488
01:09:33,600 --> 01:09:35,960
Speaker 11: I mean you could, I guess, you know, eat your

1489
01:09:36,040 --> 01:09:38,000
Speaker 11: food one at a time and just wash the spoon

1490
01:09:38,040 --> 01:09:38,919
Speaker 11: after every.

1491
01:09:38,760 --> 01:09:41,200
Speaker 2: Year and find a bunch of people over in bath

1492
01:09:41,320 --> 01:09:43,960
Speaker 2: combined with So does it work with not soup?

1493
01:09:44,439 --> 01:09:47,559
Speaker 11: Uh? They just had soup there to try, and I'm

1494
01:09:47,600 --> 01:09:49,800
Speaker 11: assuming it's got to work with things that are not

1495
01:09:50,000 --> 01:09:51,560
Speaker 11: too But otherwise.

1496
01:09:51,200 --> 01:09:52,880
Speaker 2: Well okay, no, no, no, no, no no.

1497
01:09:53,080 --> 01:09:54,600
Speaker 11: I mean what if you pick up the soup but

1498
01:09:54,680 --> 01:09:56,720
Speaker 11: the spoon by what else you eating?

1499
01:09:57,280 --> 01:10:01,040
Speaker 2: Where you would reduce the salt that wasn't soup?

1500
01:10:02,120 --> 01:10:04,639
Speaker 1: A lot of a lot of things like what but

1501
01:10:04,680 --> 01:10:06,320
Speaker 1: what is the thing I'm just thinking?

1502
01:10:07,880 --> 01:10:10,920
Speaker 2: Yeah, but like wait are you where are you adding

1503
01:10:10,960 --> 01:10:12,120
Speaker 2: the salt with fried rice?

1504
01:10:12,280 --> 01:10:13,880
Speaker 1: Okay, that's a good point. I don't know, And.

1505
01:10:13,840 --> 01:10:15,559
Speaker 2: Why are you eating with a spoon? Yeah?

1506
01:10:15,880 --> 01:10:20,400
Speaker 11: That's fork coded like you don't need the you don't

1507
01:10:20,439 --> 01:10:22,840
Speaker 11: need this one to eat ice cream, you know.

1508
01:10:24,040 --> 01:10:27,640
Speaker 2: So this is just a very expensive soup related technology.

1509
01:10:27,880 --> 01:10:29,960
Speaker 11: I mean again, Japanese company, they'd a lot of soup

1510
01:10:30,000 --> 01:10:30,599
Speaker 11: over there.

1511
01:10:31,000 --> 01:10:31,439
Speaker 9: They do.

1512
01:10:33,160 --> 01:10:35,240
Speaker 2: I'm just thinking about this spoon, and I really fit.

1513
01:10:35,280 --> 01:10:37,160
Speaker 2: There's always a point, a see, yes, where I begin

1514
01:10:37,240 --> 01:10:39,280
Speaker 2: to go insane, when I begin to just like think

1515
01:10:39,320 --> 01:10:42,479
Speaker 2: of the special salt spoon, and then I call my

1516
01:10:42,720 --> 01:10:45,479
Speaker 2: therapist and I say, I'm thinking of the spoon. Anyway,

1517
01:10:46,200 --> 01:10:50,920
Speaker 2: did you see anything you like? Though everyone has the

1518
01:10:50,960 --> 01:10:54,160
Speaker 2: same answer, it's a it's a sigh and then a

1519
01:10:54,240 --> 01:10:55,000
Speaker 2: space of time.

1520
01:10:55,120 --> 01:10:57,080
Speaker 12: Right, Well, hey, wait a second, I mean the some

1521
01:10:57,120 --> 01:10:58,240
Speaker 12: of the chips look pretty cool.

1522
01:10:58,240 --> 01:11:00,760
Speaker 2: Actually yeah, I mean you take a question so Matt

1523
01:11:00,800 --> 01:11:02,439
Speaker 2: can try and think of something he liked.

1524
01:11:02,960 --> 01:11:05,160
Speaker 12: I mean, you know, I don't you know, chill for

1525
01:11:05,200 --> 01:11:06,760
Speaker 12: any of these companies, but they you know.

1526
01:11:06,920 --> 01:11:09,439
Speaker 2: AMD, if you liked something, please tell us, well.

1527
01:11:09,280 --> 01:11:13,920
Speaker 12: AMD, intele and Nvidia did all announce new Chipsbly arguably,

1528
01:11:13,960 --> 01:11:16,920
Speaker 12: they all look pretty interesting for different different reasons. AMB

1529
01:11:17,040 --> 01:11:20,839
Speaker 12: did something pretty unique. They added this technology called unified

1530
01:11:20,840 --> 01:11:23,559
Speaker 12: memory to their latest gaming process or what is that?

1531
01:11:24,160 --> 01:11:26,160
Speaker 12: Apple did it a few years ago. It basically just

1532
01:11:26,200 --> 01:11:28,680
Speaker 12: makes the chip faster. It means that the memory in

1533
01:11:28,720 --> 01:11:30,559
Speaker 12: this and the CPU can talk to each other much

1534
01:11:30,600 --> 01:11:34,799
Speaker 12: more quickly, which allows uh, you know, more more speedy

1535
01:11:34,840 --> 01:11:38,120
Speaker 12: graphics and more speedy you know, computing power. But it

1536
01:11:38,200 --> 01:11:39,920
Speaker 12: is actually an interesting thing. I don't I haven't tried it.

1537
01:11:39,960 --> 01:11:42,280
Speaker 12: I don't know how would have any benchmarks, so I

1538
01:11:42,320 --> 01:11:44,679
Speaker 12: have no earthly idea how it performs in the real world.

1539
01:11:44,680 --> 01:11:46,760
Speaker 12: But theoretically the technology is pretty good.

1540
01:11:46,800 --> 01:11:49,320
Speaker 2: So as I'm speaking for the listeners that don't know

1541
01:11:49,400 --> 01:11:53,360
Speaker 2: stuff and myself, how does that manifest in something good?

1542
01:11:53,400 --> 01:11:55,160
Speaker 2: Is it just that the hardware and the software the

1543
01:11:55,200 --> 01:11:56,400
Speaker 2: hardware pots talk to each other.

1544
01:11:56,520 --> 01:11:58,679
Speaker 3: So I think I can take this one basically he's

1545
01:11:58,680 --> 01:12:01,479
Speaker 3: trying to say it basically, is it goes like so

1546
01:12:01,520 --> 01:12:03,599
Speaker 3: the chip goes into more tabs.

1547
01:12:03,800 --> 01:12:06,760
Speaker 2: Yeah, it's browser tabs. And to be clear, this is

1548
01:12:06,760 --> 01:12:07,440
Speaker 2: for computer.

1549
01:12:08,080 --> 01:12:11,160
Speaker 3: Oh okay, yeah, So if you just think about whenever

1550
01:12:11,200 --> 01:12:13,200
Speaker 3: you you probably have a computer at home right now.

1551
01:12:13,120 --> 01:12:15,400
Speaker 2: Right done, right now. But well a lot of people may.

1552
01:12:15,320 --> 01:12:17,559
Speaker 3: Have computers, and these chips basically can go in them,

1553
01:12:17,600 --> 01:12:19,880
Speaker 3: so it's from there. It's just pretty cool stuff. Actually,

1554
01:12:20,040 --> 01:12:21,200
Speaker 3: damn I love.

1555
01:12:21,040 --> 01:12:23,480
Speaker 2: Logan on Okay, Matt, anything enjoyable.

1556
01:12:23,560 --> 01:12:25,840
Speaker 11: I mean the TVs are cool like okay yah yeah,

1557
01:12:25,840 --> 01:12:28,000
Speaker 11: I mean how can you and the gaming monitors that

1558
01:12:28,120 --> 01:12:31,320
Speaker 11: really big curved monitors like I would never buy these

1559
01:12:31,360 --> 01:12:35,280
Speaker 11: things because they cost like thousands of Oh yeah, you're

1560
01:12:35,320 --> 01:12:39,160
Speaker 11: in journalism, right, right right? I mean one thing I like,

1561
01:12:39,439 --> 01:12:42,320
Speaker 11: is that coming to see? Yes, it is now clear

1562
01:12:42,400 --> 01:12:45,360
Speaker 11: that at least as a technology.

1563
01:12:44,640 --> 01:12:46,679
Speaker 10: Product, crypto is dead.

1564
01:12:47,120 --> 01:12:52,320
Speaker 11: There is no crulls, nothing absent completely. Now I mentioned

1565
01:12:52,360 --> 01:12:54,400
Speaker 11: metaverse and like you know, metaverse is just like Zilly,

1566
01:12:54,680 --> 01:12:57,120
Speaker 11: but like it is actually a breath of fresh air

1567
01:12:57,240 --> 01:13:00,360
Speaker 11: to finally see that the tech industry, at least that

1568
01:13:00,760 --> 01:13:04,320
Speaker 11: represented by ce S has seemed to move on, moved on.

1569
01:13:04,320 --> 01:13:07,400
Speaker 10: Completely from crypto blockchain.

1570
01:13:07,600 --> 01:13:10,040
Speaker 11: I remember two years ago, every company, whether it doesn't

1571
01:13:10,040 --> 01:13:14,679
Speaker 11: matter if they were like a special electronic dental floss

1572
01:13:14,680 --> 01:13:16,920
Speaker 11: company whatever, they all wanted to give you a free

1573
01:13:17,000 --> 01:13:19,760
Speaker 11: NFT if you come to their booth. There is not

1574
01:13:19,880 --> 01:13:22,200
Speaker 11: a single and I don't think the words n F

1575
01:13:22,360 --> 01:13:23,799
Speaker 11: or T or even here at CEES.

1576
01:13:24,080 --> 01:13:26,200
Speaker 2: If you find them, please email me easy at Better

1577
01:13:26,240 --> 01:13:28,800
Speaker 2: off Line dot Com. I want to find them and

1578
01:13:28,880 --> 01:13:31,719
Speaker 2: ask them some questions. I want to know what they're

1579
01:13:31,760 --> 01:13:32,960
Speaker 2: doing here, right, you know.

1580
01:13:33,000 --> 01:13:35,360
Speaker 11: I think people realize like this is if anything. It's

1581
01:13:35,439 --> 01:13:39,960
Speaker 11: like it's a financial day trading scam. It's not a

1582
01:13:39,960 --> 01:13:41,559
Speaker 11: tech product. But it's pretty cool though.

1583
01:13:43,640 --> 01:13:44,400
Speaker 2: It is really cool.

1584
01:13:44,479 --> 01:13:49,400
Speaker 11: Jesse, would you like to shif for crypto as the

1585
01:13:49,400 --> 01:13:50,719
Speaker 11: crypto ex put for the show.

1586
01:13:50,840 --> 01:13:52,240
Speaker 3: I think it's just kind of cool because they're like

1587
01:13:52,320 --> 01:13:54,640
Speaker 3: little pictures or something. So it's like, I don't know,

1588
01:13:54,680 --> 01:13:56,800
Speaker 3: I just think that's like I hear what you're saying.

1589
01:13:56,800 --> 01:13:58,760
Speaker 3: It's like, Okay, the tech companies have moved on from

1590
01:13:58,760 --> 01:14:00,880
Speaker 3: the little pictures, but it's like we're always gonna have

1591
01:14:00,960 --> 01:14:03,519
Speaker 3: little pictures, you know types you know what I'm saying,

1592
01:14:03,520 --> 01:14:05,960
Speaker 3: Like it's been forever we've had these little pictures. So

1593
01:14:06,000 --> 01:14:08,400
Speaker 3: I just think, like, Okay, maybe it's waned right now,

1594
01:14:08,439 --> 01:14:10,840
Speaker 3: but there's gonna be a time where we come back

1595
01:14:10,880 --> 01:14:13,600
Speaker 3: to CEES and we see the little pictures again, and

1596
01:14:13,640 --> 01:14:14,720
Speaker 3: I think that's gonna be really cool.

1597
01:14:15,200 --> 01:14:17,280
Speaker 2: I think it is funny as well that like Max

1598
01:14:17,360 --> 01:14:19,479
Speaker 2: is probably the only person who has been at c

1599
01:14:19,680 --> 01:14:22,960
Speaker 2: S who has found the real stuff because like it's

1600
01:14:23,120 --> 01:14:26,960
Speaker 2: just because you can't really fake silicon. No you can't you.

1601
01:14:27,560 --> 01:14:29,080
Speaker 2: I mean, you can fake it up up until a

1602
01:14:29,080 --> 01:14:29,760
Speaker 2: certain point. You can.

1603
01:14:29,840 --> 01:14:31,840
Speaker 12: You can rag about how good it's gonna be or whatever,

1604
01:14:31,960 --> 01:14:34,400
Speaker 12: your what your what your startup's doing, and you can

1605
01:14:34,400 --> 01:14:36,400
Speaker 12: claim performance. But if at a certain point you have

1606
01:14:36,439 --> 01:14:38,120
Speaker 12: to send a chip to the fab and make it

1607
01:14:38,160 --> 01:14:39,599
Speaker 12: and if it doesn't do what you say it will,

1608
01:14:40,160 --> 01:14:41,880
Speaker 12: well then that's that.

1609
01:14:42,240 --> 01:14:44,479
Speaker 2: And the thing is that's really important. It's actually good

1610
01:14:44,520 --> 01:14:47,519
Speaker 2: like good education for the listeners as well, is it

1611
01:14:47,800 --> 01:14:52,960
Speaker 2: they give him back the microphone? Just come on, all right?

1612
01:14:53,640 --> 01:14:56,600
Speaker 2: But the important it's actually important like foundation people to

1613
01:14:56,640 --> 01:14:58,960
Speaker 2: know with a lot of these companies talking about like

1614
01:14:59,160 --> 01:15:02,080
Speaker 2: a six so especial chips and like oh open aiy

1615
01:15:02,240 --> 01:15:04,360
Speaker 2: or whomever will simply build a chip. It is not

1616
01:15:04,400 --> 01:15:06,800
Speaker 2: that easy, right, it is not that easy. So what

1617
01:15:06,880 --> 01:15:08,240
Speaker 2: is the process of a chip getting done?

1618
01:15:08,280 --> 01:15:09,720
Speaker 12: And you know a lot more about this than I

1619
01:15:09,720 --> 01:15:11,400
Speaker 12: think you're letting on. I mean, and you know what

1620
01:15:11,400 --> 01:15:12,280
Speaker 12: an ASIK.

1621
01:15:12,000 --> 01:15:15,440
Speaker 2: Is and I just don't know what it stands for, candidly,

1622
01:15:16,200 --> 01:15:21,040
Speaker 2: Application specific integrated circuit Thank you, whooh someone knows stuff.

1623
01:15:21,800 --> 01:15:22,960
Speaker 2: You're right, But you're really right.

1624
01:15:23,040 --> 01:15:26,479
Speaker 12: It's it's it's super complicated and expensive to make even

1625
01:15:26,680 --> 01:15:29,360
Speaker 12: a basic AI chip, and we're talking a couple of

1626
01:15:29,439 --> 01:15:32,280
Speaker 12: years from scratch, a couple of years minimum at least

1627
01:15:32,320 --> 01:15:35,000
Speaker 12: half a billion dollars if you're if you're lucky, another

1628
01:15:35,080 --> 01:15:37,000
Speaker 12: half a billion to build a hardware around it, because

1629
01:15:37,000 --> 01:15:39,439
Speaker 12: that's something people forget often. When you make a chip,

1630
01:15:39,479 --> 01:15:41,640
Speaker 12: you make the actual piece of silicon. If you look

1631
01:15:41,680 --> 01:15:44,519
Speaker 12: at any Nvidia product or many others, they've got a

1632
01:15:44,560 --> 01:15:47,000
Speaker 12: whole board around it with a bunch of other chips

1633
01:15:47,000 --> 01:15:49,759
Speaker 12: and other stuff, and that to make that is probably

1634
01:15:49,760 --> 01:15:52,160
Speaker 12: another half billion dollars. So this is these are not

1635
01:15:52,400 --> 01:15:53,400
Speaker 12: inexpensive ideas.

1636
01:15:53,439 --> 01:15:55,320
Speaker 2: And then when it comes to the actual integration and

1637
01:15:55,360 --> 01:15:57,280
Speaker 2: putting these into service, you have to do a bunch

1638
01:15:57,400 --> 01:16:01,280
Speaker 2: more cooling and actual and there is failure rate as well.

1639
01:16:01,400 --> 01:16:03,080
Speaker 12: Absolutely, and you have to write the software on top

1640
01:16:03,120 --> 01:16:05,400
Speaker 12: of it. I mean the whole way, Like having the

1641
01:16:05,439 --> 01:16:07,639
Speaker 12: idea to make a chip is like it's a multi

1642
01:16:07,680 --> 01:16:09,719
Speaker 12: year and if you only make one, you've just wasted

1643
01:16:09,760 --> 01:16:10,519
Speaker 12: your time and money.

1644
01:16:10,600 --> 01:16:12,439
Speaker 2: So you have to as a company, you generally have

1645
01:16:12,520 --> 01:16:13,760
Speaker 2: to do multiple.

1646
01:16:13,400 --> 01:16:16,280
Speaker 12: Absolutely, Yeah, you want to you want a roadmap because

1647
01:16:16,280 --> 01:16:18,720
Speaker 12: that's the whole. I mean, if anybody that's buying AI

1648
01:16:18,840 --> 01:16:20,920
Speaker 12: chips for any reason, they're not buying the current generation,

1649
01:16:20,960 --> 01:16:23,439
Speaker 12: they're buying Gen two, Gen three and maybe.

1650
01:16:23,320 --> 01:16:27,240
Speaker 2: Chest thing, so they're buying ahead. Absolutely. Yeah, So I'm glad.

1651
01:16:27,320 --> 01:16:29,640
Speaker 2: I'm really glad you're here for many reasons. But I

1652
01:16:29,760 --> 01:16:31,960
Speaker 2: like putting this stuff down because the reason that there

1653
01:16:32,000 --> 01:16:34,000
Speaker 2: is like the real and the fake parts of CS

1654
01:16:34,200 --> 01:16:37,120
Speaker 2: is as I said, you can't really fake chips. You

1655
01:16:37,160 --> 01:16:39,680
Speaker 2: can be like, oh, yeah, we're doing an AI stethoscope,

1656
01:16:39,760 --> 01:16:41,759
Speaker 2: or we're going to claim to cure autism with VR

1657
01:16:41,880 --> 01:16:44,040
Speaker 2: or whatever, but you can't really be like we're going

1658
01:16:44,120 --> 01:16:46,320
Speaker 2: to do a chip because the actual chips people would

1659
01:16:46,320 --> 01:16:49,000
Speaker 2: just be like, no, you're not. There is like very

1660
01:16:49,000 --> 01:16:52,400
Speaker 2: clear boundaries with what you can actually do, which is

1661
01:16:52,439 --> 01:16:54,799
Speaker 2: what's so interesting because you have this chunk of CS

1662
01:16:54,880 --> 01:16:57,320
Speaker 2: was just the no bullshit zone because you really you

1663
01:16:57,360 --> 01:17:00,120
Speaker 2: could not be making like Nvidio pumps themselves up up

1664
01:17:00,160 --> 01:17:02,599
Speaker 2: and says all this stuff, but ultimately is what it does.

1665
01:17:03,160 --> 01:17:05,479
Speaker 12: It does have to deliver, has to exit at a

1666
01:17:05,520 --> 01:17:07,160
Speaker 12: certain point. I mean, people will buy them, put them

1667
01:17:07,160 --> 01:17:09,559
Speaker 12: in the field, try all the hardware, try the software,

1668
01:17:09,600 --> 01:17:12,000
Speaker 12: and the claims have to a certain point live up

1669
01:17:12,040 --> 01:17:14,280
Speaker 12: to there whatever they're.

1670
01:17:14,040 --> 01:17:17,280
Speaker 2: You know, saying. So forgive me for a very direct question,

1671
01:17:17,360 --> 01:17:20,559
Speaker 2: but how realistic is it for someone like Sam Oltman

1672
01:17:20,640 --> 01:17:23,840
Speaker 2: to build out an AI chip? Like how it's years ahead?

1673
01:17:23,960 --> 01:17:27,680
Speaker 12: Right, it's years ahead. I mean, it's more of a

1674
01:17:27,720 --> 01:17:31,000
Speaker 12: talent question than a money question. I think they're only

1675
01:17:31,640 --> 01:17:35,439
Speaker 12: maybe ten to twelve teams of people around the world

1676
01:17:35,439 --> 01:17:39,360
Speaker 12: that can build cutting edge, world class chips, and all

1677
01:17:39,400 --> 01:17:41,720
Speaker 12: of the people that lead those teams have jobs that

1678
01:17:41,760 --> 01:17:45,760
Speaker 12: they probably like or enjoy, and so you have to

1679
01:17:45,760 --> 01:17:47,559
Speaker 12: find the right people in order to do that. Find

1680
01:17:47,640 --> 01:17:50,840
Speaker 12: disgruntle people or whatever. The reason why is why they're leaving.

1681
01:17:50,960 --> 01:17:53,240
Speaker 12: But you have to assemble the right group of people

1682
01:17:53,360 --> 01:17:55,840
Speaker 12: to be able to build a chip. And even if

1683
01:17:55,880 --> 01:17:58,000
Speaker 12: you get the right group of people with the amount

1684
01:17:58,040 --> 01:18:00,280
Speaker 12: of money that you need, there's still just risks with

1685
01:18:00,360 --> 01:18:04,320
Speaker 12: building a chip like Well, you could think the design works,

1686
01:18:04,360 --> 01:18:07,240
Speaker 12: you could, for example, you could virtually verify that it works,

1687
01:18:07,280 --> 01:18:08,920
Speaker 12: you could test it, you could do all the computer

1688
01:18:08,960 --> 01:18:12,120
Speaker 12: simulations and other simulations that you want. When you send

1689
01:18:12,120 --> 01:18:15,080
Speaker 12: it to the fab to the factory to print, it

1690
01:18:15,160 --> 01:18:17,120
Speaker 12: might not come out exactly how you think it will.

1691
01:18:16,960 --> 01:18:18,760
Speaker 2: And that will mean it doesn't work as well, it

1692
01:18:18,760 --> 01:18:20,960
Speaker 2: doesn't cool as efficiently. It might not work at all.

1693
01:18:21,160 --> 01:18:24,280
Speaker 2: Oh it might not. Yeah, there might be. It might

1694
01:18:24,360 --> 01:18:26,479
Speaker 2: You can get like billions into this and like and

1695
01:18:26,560 --> 01:18:29,640
Speaker 2: you might not. I mean it does happen frequently with

1696
01:18:29,880 --> 01:18:33,080
Speaker 2: the first generation of chips. Most companies that try them

1697
01:18:33,080 --> 01:18:36,120
Speaker 2: for the first time, the first version will not be amazing.

1698
01:18:36,240 --> 01:18:40,479
Speaker 2: It'll do certain things effectively and well, but it probably

1699
01:18:40,479 --> 01:18:43,040
Speaker 2: won't be able to achieve you know, and Video just

1700
01:18:43,080 --> 01:18:45,519
Speaker 2: for example, and Videos spent twenty years, thirty years, whatever

1701
01:18:45,600 --> 01:18:47,880
Speaker 2: whatever it is, you know, working on its designs. So

1702
01:18:48,000 --> 01:18:49,639
Speaker 2: to expect that a company can come in in two

1703
01:18:49,680 --> 01:18:52,679
Speaker 2: years replicate the performance or whatever of you know, somebody

1704
01:18:52,680 --> 01:18:54,080
Speaker 2: who's been doing it for a long time, it's kind

1705
01:18:54,080 --> 01:18:57,559
Speaker 2: of unrealistic. So it usually takes several generations. And Video

1706
01:18:57,600 --> 01:19:00,920
Speaker 2: has their own software, Kuda, for making gus do stuff.

1707
01:19:01,320 --> 01:19:04,479
Speaker 2: It took quite a while for that to kind of scale, right.

1708
01:19:04,920 --> 01:19:08,479
Speaker 12: I mean they started in ninety five, I want to say, yeah,

1709
01:19:08,479 --> 01:19:10,679
Speaker 12: building Kuda, and they've been working on it ever since.

1710
01:19:10,680 --> 01:19:12,680
Speaker 12: I mean it used to be centered around their g

1711
01:19:12,760 --> 01:19:16,640
Speaker 12: fours graphics cards, and now it's obviously a little bigger.

1712
01:19:16,360 --> 01:19:17,000
Speaker 2: A little bigger.

1713
01:19:17,080 --> 01:19:19,839
Speaker 12: Yeah, I mean maybe not as big as the Electric

1714
01:19:19,920 --> 01:19:24,880
Speaker 12: Soup spoon, but you potentially one day, maybe they'll have

1715
01:19:24,920 --> 01:19:27,280
Speaker 12: that success and they can do more than just soup,

1716
01:19:27,680 --> 01:19:28,320
Speaker 12: that's for sure.

1717
01:19:28,600 --> 01:19:30,120
Speaker 2: So Matt bringing back to you.

1718
01:19:30,640 --> 01:19:33,720
Speaker 11: But the chips you're talking about, you can't even taste, so,

1719
01:19:33,760 --> 01:19:35,679
Speaker 11: I mean, come on, there are there are.

1720
01:19:35,640 --> 01:19:37,519
Speaker 2: There are probably chips in the spoon though, and there

1721
01:19:37,520 --> 01:19:42,439
Speaker 2: are chips that the salty. So anything hurt any seen

1722
01:19:42,479 --> 01:19:44,479
Speaker 2: on the you just saw it and upset you.

1723
01:19:44,800 --> 01:19:46,960
Speaker 10: Oh, I thought you meant physically like.

1724
01:19:47,000 --> 01:19:49,439
Speaker 2: I mean just walking Its pre rough, mate. I'm not

1725
01:19:49,479 --> 01:19:50,680
Speaker 2: gonna lie I'm in pain, but.

1726
01:19:51,600 --> 01:19:54,519
Speaker 10: Geez, I need a second. I'm trying to think.

1727
01:19:55,120 --> 01:19:56,839
Speaker 2: Anything just upsetting or annoying.

1728
01:19:57,160 --> 01:19:58,559
Speaker 10: Yeah, I mean it does.

1729
01:19:58,800 --> 01:20:02,559
Speaker 11: It does pain me to see the AI integration and everything,

1730
01:20:03,160 --> 01:20:06,719
Speaker 11: like I don't need AI to be like the most

1731
01:20:06,880 --> 01:20:09,200
Speaker 11: random things like I was actually surprised that the spoon

1732
01:20:09,280 --> 01:20:13,400
Speaker 11: didn't say claim AI integration or anything, you know, uh,

1733
01:20:13,840 --> 01:20:16,280
Speaker 11: the smart glasses. I mean, I guess I could see

1734
01:20:16,280 --> 01:20:19,640
Speaker 11: with the glasses like the AI integration for like translations

1735
01:20:20,160 --> 01:20:22,200
Speaker 11: is a use case if you're someone who would wear

1736
01:20:22,400 --> 01:20:24,800
Speaker 11: AR glasses to begin with. But I mean, do you

1737
01:20:24,840 --> 01:20:29,000
Speaker 11: really need like generative AI and things like that, Like no, Like.

1738
01:20:29,080 --> 01:20:33,160
Speaker 2: I find the rape bends discussed PUDTE disgusting. I think

1739
01:20:33,200 --> 01:20:35,320
Speaker 2: if you're walking around looking at things and trying to

1740
01:20:35,560 --> 01:20:38,280
Speaker 2: work out using the computer or a pervert, like what

1741
01:20:38,320 --> 01:20:39,040
Speaker 2: are you? What are you doing?

1742
01:20:39,360 --> 01:20:39,559
Speaker 11: Right?

1743
01:20:39,720 --> 01:20:39,920
Speaker 2: Right?

1744
01:20:40,000 --> 01:20:45,479
Speaker 13: Like stuff too, though, are a hugetable market market many

1745
01:20:45,479 --> 01:20:48,000
Speaker 13: of them, many of them listen to the show, speaking

1746
01:20:48,040 --> 01:20:50,160
Speaker 13: of which, I think this might be the first CEES

1747
01:20:50,320 --> 01:20:53,000
Speaker 13: where they're the sex toy industry is here.

1748
01:20:53,320 --> 01:20:53,960
Speaker 2: That's the thing.

1749
01:20:54,160 --> 01:20:55,599
Speaker 1: Wait, they weren't here before they were.

1750
01:20:55,680 --> 01:20:57,880
Speaker 11: There was a huge thing a year or two ago

1751
01:20:57,960 --> 01:21:01,679
Speaker 11: where some company applied for CES and they were told

1752
01:21:01,840 --> 01:21:06,160
Speaker 11: we do not this industry here and they smartly, I

1753
01:21:06,200 --> 01:21:08,599
Speaker 11: mean you used it to their advantage like with press,

1754
01:21:08,600 --> 01:21:13,000
Speaker 11: and they were like it got tons of I think

1755
01:21:13,040 --> 01:21:15,280
Speaker 11: on top of this, this was like a sex positive

1756
01:21:15,320 --> 01:21:16,439
Speaker 11: woman owned business.

1757
01:21:16,439 --> 01:21:17,240
Speaker 2: There's nothing wrong with it.

1758
01:21:17,400 --> 01:21:18,400
Speaker 10: Yeah, no, nothing wrong at all.

1759
01:21:18,439 --> 01:21:20,880
Speaker 11: But like that company used that to their advantage and said,

1760
01:21:20,960 --> 01:21:23,799
Speaker 11: like CS tells you know women owned.

1761
01:21:23,720 --> 01:21:26,240
Speaker 10: Sex Yeah yeah.

1762
01:21:26,280 --> 01:21:28,040
Speaker 11: And so for the first time I'm seeing these sex

1763
01:21:28,120 --> 01:21:29,599
Speaker 11: toy companies on the floor of CES.

1764
01:21:29,720 --> 01:21:30,880
Speaker 10: It's like, why not I.

1765
01:21:30,760 --> 01:21:35,160
Speaker 2: Feel like Vegas is something, something's economically breaking. I haven't

1766
01:21:35,200 --> 01:21:37,679
Speaker 2: seen the guys with the flappy cards. I didn't see

1767
01:21:37,680 --> 01:21:41,280
Speaker 2: the flappy guys either, back back, get back. So these

1768
01:21:41,360 --> 01:21:44,439
Speaker 2: guys who are I think it's stripped cups personally never.

1769
01:21:45,280 --> 01:21:47,559
Speaker 10: Heading out like the yeah, yeah, and I haven't seen.

1770
01:21:47,360 --> 01:21:49,280
Speaker 2: Them for years. And that the back clapping, the back

1771
01:21:49,320 --> 01:21:51,800
Speaker 2: they're flipping to the clap clap. They I saw them.

1772
01:21:51,840 --> 01:21:53,559
Speaker 2: They put they like took a fan.

1773
01:21:53,760 --> 01:21:56,439
Speaker 3: It was actually it's actually kind of nice, very industri

1774
01:21:56,600 --> 01:21:58,479
Speaker 3: They took all the nasty little cards and they put

1775
01:21:58,520 --> 01:22:00,599
Speaker 3: them like on a streets sign and made a little fans.

1776
01:22:00,680 --> 01:22:02,519
Speaker 2: Yeah, I saw that kind of cute. They have been

1777
01:22:02,640 --> 01:22:05,479
Speaker 2: gone for years. In fact, they're back is probably not

1778
01:22:05,520 --> 01:22:07,639
Speaker 2: a great sign. But I must be clear, there's nothing

1779
01:22:07,680 --> 01:22:09,200
Speaker 2: wrong with being a perverse as long as.

1780
01:22:09,160 --> 01:22:11,480
Speaker 3: You don't think there's something wrong with that industry, particularly

1781
01:22:11,640 --> 01:22:12,320
Speaker 3: that industry.

1782
01:22:12,439 --> 01:22:16,200
Speaker 1: I do not know about QR codes, like, right.

1783
01:22:17,160 --> 01:22:21,599
Speaker 2: You're supposed to scan the porno, right, But that's the thing.

1784
01:22:21,640 --> 01:22:23,439
Speaker 2: Nothing wrong with being horny as long as it's not

1785
01:22:23,479 --> 01:22:25,800
Speaker 2: anyone else it's problem. Let's go around right now. Let's

1786
01:22:25,800 --> 01:22:28,320
Speaker 2: just say who's horny in the room. So ed or Nope,

1787
01:22:28,520 --> 01:22:34,559
Speaker 2: not Tom, I love this. This is really good. Writers

1788
01:22:34,600 --> 01:22:38,680
Speaker 2: declines comment on this one. Okay, Matt, when you walk in,

1789
01:22:38,760 --> 01:22:42,640
Speaker 2: I was like, no, can we quote that? Cand I

1790
01:22:42,680 --> 01:22:44,000
Speaker 2: write this up and quote.

1791
01:22:45,680 --> 01:22:48,200
Speaker 10: On the question of horniness, Reuters declimb.

1792
01:22:47,880 --> 01:22:52,080
Speaker 2: No, stop it. I'm sorry. Why did I just didn't

1793
01:22:52,120 --> 01:22:54,840
Speaker 2: say anything for a minute, so I want to well,

1794
01:22:54,840 --> 01:22:56,400
Speaker 2: we didn't get mad on the record here, so.

1795
01:22:57,080 --> 01:22:59,920
Speaker 10: Well, I can quote Mashable here Mashable very horny.

1796
01:23:00,479 --> 01:23:06,320
Speaker 2: My god, so sorry. Everyone every had Robert Evans listing

1797
01:23:06,360 --> 01:23:10,680
Speaker 2: all the crimes I commit every every episode. Listeners were

1798
01:23:10,720 --> 01:23:15,160
Speaker 2: the criminals I know. And I made a joke about

1799
01:23:15,200 --> 01:23:17,840
Speaker 2: stealing stuff once and it's all that's in the reddit

1800
01:23:17,880 --> 01:23:21,560
Speaker 2: and even saying this, there's gonna be another thread and

1801
01:23:21,600 --> 01:23:23,600
Speaker 2: they're gonna be like, oh, I did this crime. I

1802
01:23:25,479 --> 01:23:27,920
Speaker 2: run the reddit, baby, Okay, I'm on the top of

1803
01:23:27,920 --> 01:23:28,280
Speaker 2: that ship.

1804
01:23:28,760 --> 01:23:30,880
Speaker 1: Isn't that kind of a conflict of interest? No?

1805
01:23:30,880 --> 01:23:34,439
Speaker 2: No, no, well yes, but no. The reddit was created

1806
01:23:34,479 --> 01:23:36,960
Speaker 2: by someone called comic Con and all it was for

1807
01:23:37,000 --> 01:23:41,479
Speaker 2: the first month was just like the show fucking sucks.

1808
01:23:41,520 --> 01:23:43,759
Speaker 2: So I went in there and just argued with everyone.

1809
01:23:44,680 --> 01:23:46,400
Speaker 2: And now it's great. They love me because they know

1810
01:23:46,479 --> 01:23:51,400
Speaker 2: all fucking respond Yeah, culture of fear. Baby, So Max,

1811
01:23:51,479 --> 01:23:52,920
Speaker 2: how long are you here for? How how long are

1812
01:23:52,920 --> 01:23:55,400
Speaker 2: you you suffering with this? I'm leaving tonight.

1813
01:23:55,680 --> 01:23:58,880
Speaker 12: That's probably for the best, just enough time to see

1814
01:23:58,880 --> 01:24:00,840
Speaker 12: the silicon and get out.

1815
01:24:01,040 --> 01:24:02,960
Speaker 2: Yeah, and then with the wholely levels then we don't

1816
01:24:02,960 --> 01:24:06,040
Speaker 2: even know what kind of silicon. I'm so sorry, Max,

1817
01:24:06,400 --> 01:24:10,920
Speaker 2: I'm I'm sorry. But so do you like see is

1818
01:24:10,960 --> 01:24:14,599
Speaker 2: this your first how many of you? I've been twice now, right,

1819
01:24:15,000 --> 01:24:16,160
Speaker 2: So how do I feel?

1820
01:24:16,479 --> 01:24:20,080
Speaker 12: I mean, Vegas is a is a city that I

1821
01:24:20,080 --> 01:24:22,200
Speaker 12: think you just have to accept, yes, And when you

1822
01:24:22,240 --> 01:24:26,800
Speaker 12: do that, especially this part of Las Vegas, then then

1823
01:24:26,840 --> 01:24:28,960
Speaker 12: I think it's a lot more enjoyable, right personally, because

1824
01:24:28,960 --> 01:24:31,160
Speaker 12: like I don't visit Vegas very often, you know, so

1825
01:24:31,200 --> 01:24:33,080
Speaker 12: it's kind of a novelty for me. I get to

1826
01:24:33,080 --> 01:24:35,559
Speaker 12: go see the crazy casinos and walk around the room,

1827
01:24:35,600 --> 01:24:41,080
Speaker 12: see all the different people who were here and degenerates okay,

1828
01:24:41,120 --> 01:24:44,680
Speaker 12: most yeah, exactly most so, I mean, and it is

1829
01:24:44,760 --> 01:24:47,240
Speaker 12: kind of cool to see like all this technology, you know,

1830
01:24:47,320 --> 01:24:51,080
Speaker 12: sort of stuck into like sixteen different convention centers or

1831
01:24:51,080 --> 01:24:54,600
Speaker 12: whatever the number is these days, you know, but you

1832
01:24:54,600 --> 01:24:56,760
Speaker 12: know this is visit number two. I'm saying for two days,

1833
01:24:56,760 --> 01:24:59,559
Speaker 12: so I don't have the uh, you know, tenure to

1834
01:24:59,600 --> 01:25:01,200
Speaker 12: be able to to talk about it like I'm a

1835
01:25:01,240 --> 01:25:03,200
Speaker 12: twenty year veteran and some people certainly have.

1836
01:25:03,360 --> 01:25:03,600
Speaker 1: I know.

1837
01:25:03,640 --> 01:25:06,040
Speaker 2: I find it fascinating when people haven't got much experience

1838
01:25:06,080 --> 01:25:09,240
Speaker 2: how they feel. But you also deal with the real things,

1839
01:25:09,600 --> 01:25:12,920
Speaker 2: which is which is fun because everyone else is just

1840
01:25:12,960 --> 01:25:15,320
Speaker 2: going and being like, yeah, I saw an AI dil though,

1841
01:25:15,320 --> 01:25:18,400
Speaker 2: and I can't. They wouldn't let me use it.

1842
01:25:18,560 --> 01:25:21,200
Speaker 12: Well, I mean, you know, the PC chips and and

1843
01:25:21,200 --> 01:25:23,040
Speaker 12: and so on. Our are pretty exciting, but a lot

1844
01:25:23,040 --> 01:25:25,519
Speaker 12: of the stuff that we report on is the data

1845
01:25:25,520 --> 01:25:28,479
Speaker 12: center chips that power most of AI. Right now, they

1846
01:25:28,680 --> 01:25:31,240
Speaker 12: hear as well, no, this is this is all consumer stuff,

1847
01:25:31,400 --> 01:25:33,840
Speaker 12: the most I mean, the biggest thing that tends to

1848
01:25:33,840 --> 01:25:35,840
Speaker 12: get talked about. Now you're you know, we're talking about

1849
01:25:35,840 --> 01:25:39,720
Speaker 12: things that aren't discussed or weren't discussed before, Matt or

1850
01:25:40,200 --> 01:25:42,760
Speaker 12: are the these AI PCs. This is like one of

1851
01:25:42,760 --> 01:25:44,880
Speaker 12: these things that the industry has been trying to make

1852
01:25:44,920 --> 01:25:48,880
Speaker 12: happen for a little over a year now, and you know,

1853
01:25:49,040 --> 01:25:52,080
Speaker 12: supposed to start lifting PC A PC sales this year and.

1854
01:25:52,080 --> 01:25:53,479
Speaker 2: What these chips meant to do.

1855
01:25:53,600 --> 01:25:57,960
Speaker 1: Just to be clear, I wish I could have a

1856
01:25:57,960 --> 01:26:01,800
Speaker 1: good as I have the demo later today, I'll let

1857
01:26:01,880 --> 01:26:03,519
Speaker 1: you know I'm clear to me.

1858
01:26:04,400 --> 01:26:06,120
Speaker 12: I mean I think the I mean I'm saying that

1859
01:26:06,160 --> 01:26:07,880
Speaker 12: because I think the answer is is that this is

1860
01:26:07,920 --> 01:26:09,439
Speaker 12: one of those situations where if you don't build the

1861
01:26:09,439 --> 01:26:11,200
Speaker 12: hardware to do the thing, then nobody can make the

1862
01:26:11,200 --> 01:26:13,040
Speaker 12: software to do the thing right. Right, So if you

1863
01:26:13,160 --> 01:26:15,840
Speaker 12: if the capability doesn't exist, then nobody can code on

1864
01:26:15,840 --> 01:26:18,559
Speaker 12: top of it to make the cool application for whatever.

1865
01:26:18,600 --> 01:26:19,080
Speaker 2: AI think.

1866
01:26:19,120 --> 01:26:20,920
Speaker 12: Okay, I'll buy that, right, Like I mean, I mean,

1867
01:26:20,920 --> 01:26:23,040
Speaker 12: I have no idea if it'll succeed or not. I mean,

1868
01:26:23,160 --> 01:26:25,040
Speaker 12: I don't predict the future, but I think it is

1869
01:26:25,120 --> 01:26:28,160
Speaker 12: true with any generation of hardware, like for example, real

1870
01:26:28,160 --> 01:26:30,080
Speaker 12: time rate tracing that in video made a few years

1871
01:26:30,080 --> 01:26:32,280
Speaker 12: ago when they launched it, and real time rate tracing

1872
01:26:32,360 --> 01:26:34,679
Speaker 12: just makes light look better, video game graphics look better.

1873
01:26:34,880 --> 01:26:36,479
Speaker 2: So for when they launched it.

1874
01:26:36,400 --> 01:26:38,160
Speaker 12: There was like one, yeah, I don't remember how many games,

1875
01:26:38,160 --> 01:26:40,120
Speaker 12: but it was like a small handful, you know, very

1876
01:26:40,200 --> 01:26:42,960
Speaker 12: very few, and you know, it was like cool, but

1877
01:26:43,400 --> 01:26:46,599
Speaker 12: not widely adopted. It took until I think the video

1878
01:26:46,600 --> 01:26:49,719
Speaker 12: game consoles. The Xbox Series X and the PS five

1879
01:26:50,240 --> 01:26:53,200
Speaker 12: included the tech in their systems for it to become

1880
01:26:53,320 --> 01:26:56,720
Speaker 12: like very widely adopted by developers. You know, So this

1881
01:26:56,800 --> 01:26:59,400
Speaker 12: is I think with AIPC chips. It's like kind of similar.

1882
01:27:00,240 --> 01:27:02,120
Speaker 2: How long will this bubble lost? Right?

1883
01:27:02,160 --> 01:27:03,720
Speaker 12: I mean I would give it a few years, Like

1884
01:27:03,720 --> 01:27:05,400
Speaker 12: I would give it two or three years for the

1885
01:27:05,439 --> 01:27:08,240
Speaker 12: software software ecosystem to like actually build out. But I mean,

1886
01:27:08,439 --> 01:27:11,479
Speaker 12: you know, at the moment, arguably the most interesting thing

1887
01:27:12,000 --> 01:27:15,559
Speaker 12: that Microsoft talked about when they launched their Copilot plus

1888
01:27:15,600 --> 01:27:17,720
Speaker 12: program was the what is that?

1889
01:27:17,840 --> 01:27:20,479
Speaker 2: Historically it's their AI PC platform.

1890
01:27:21,000 --> 01:27:22,920
Speaker 12: The PCs that are part of it have to have

1891
01:27:23,000 --> 01:27:25,640
Speaker 12: a certain spec in order to run the applications. Was

1892
01:27:25,680 --> 01:27:27,680
Speaker 12: this thing called recall, which allowed you to look back, Oh,

1893
01:27:27,720 --> 01:27:28,360
Speaker 12: everyone loved that.

1894
01:27:28,400 --> 01:27:30,680
Speaker 2: Everybody loved that. They killed it. They're relaunching it now.

1895
01:27:30,720 --> 01:27:33,760
Speaker 2: But I mean, yes, you know, so yeah, I just

1896
01:27:34,720 --> 01:27:37,320
Speaker 2: it's but like you see, you.

1897
01:27:37,600 --> 01:27:41,000
Speaker 11: See this blowback even from like regular consumers, not just

1898
01:27:41,040 --> 01:27:43,160
Speaker 11: the disgruntled people in the room right here right now,

1899
01:27:43,160 --> 01:27:45,720
Speaker 11: like the five of us, but like regular consumers are

1900
01:27:45,760 --> 01:27:48,759
Speaker 11: not upgrading to like Windows eleven, for example, They're choosing

1901
01:27:48,800 --> 01:27:52,679
Speaker 11: to stick with the non AI operating system and like, listen,

1902
01:27:52,680 --> 01:27:54,720
Speaker 11: I don't think they are aware that they're like, oh

1903
01:27:54,800 --> 01:27:57,320
Speaker 11: I don't want AI for the most part. But also

1904
01:27:57,360 --> 01:27:59,320
Speaker 11: the AI has not been a draw for them to

1905
01:27:59,520 --> 01:28:02,000
Speaker 11: get them to upgrade, Like they don't care about it.

1906
01:28:02,040 --> 01:28:04,720
Speaker 1: And when it comes to enterprise stuff, especially like what

1907
01:28:04,880 --> 01:28:07,320
Speaker 1: you're talking about, like trying to sell like business like

1908
01:28:07,400 --> 01:28:10,320
Speaker 1: laptops with like integrated you know, I think they call

1909
01:28:10,360 --> 01:28:14,000
Speaker 1: them NPUs neuroprocessing unit. Is okay, all this stuff is

1910
01:28:14,000 --> 01:28:17,120
Speaker 1: already running in the cloud. I can't think of any

1911
01:28:17,120 --> 01:28:20,920
Speaker 1: other like you know, sort of like function where they

1912
01:28:21,000 --> 01:28:23,840
Speaker 1: offloaded it from the cloud to like your local PC. Like,

1913
01:28:24,160 --> 01:28:27,360
Speaker 1: what's the business value in running chat GPT on like

1914
01:28:27,400 --> 01:28:28,000
Speaker 1: your laptop?

1915
01:28:28,280 --> 01:28:30,439
Speaker 2: Actually I can actually answer that one in the sense

1916
01:28:30,479 --> 01:28:33,439
Speaker 2: that it will kill chat GPT, because when you realize

1917
01:28:33,439 --> 01:28:35,120
Speaker 2: what you can run on your laptop, you'll fuck around

1918
01:28:35,120 --> 01:28:36,559
Speaker 2: with it and be like, oh, this doesn't do that matter.

1919
01:28:36,640 --> 01:28:39,600
Speaker 11: Yeah, there's all these like software as service companies that

1920
01:28:39,640 --> 01:28:42,599
Speaker 11: are like speak and it'll text a voice right away

1921
01:28:42,600 --> 01:28:44,760
Speaker 11: for you. Well, there are models that you could just

1922
01:28:44,800 --> 01:28:46,840
Speaker 11: run off your computer. You don't have to pay a

1923
01:28:46,840 --> 01:28:49,840
Speaker 11: monthly fee to do that. You could just literally download

1924
01:28:49,920 --> 01:28:53,560
Speaker 11: the free like language model and there you go your set.

1925
01:28:53,680 --> 01:28:56,040
Speaker 11: It's they don't want people to know this for real.

1926
01:28:56,360 --> 01:28:58,280
Speaker 1: Yeah, I mean, but in a lot of cases, you

1927
01:28:58,280 --> 01:29:01,640
Speaker 1: can already run this stuff on afficiently powerful computer with

1928
01:29:01,800 --> 01:29:03,200
Speaker 1: that just has like the GPU.

1929
01:29:03,600 --> 01:29:06,400
Speaker 11: Oh yeah, yeah, you could get right now, like a

1930
01:29:06,800 --> 01:29:10,439
Speaker 11: probably a two three hundred dollars M one Macminie because

1931
01:29:10,520 --> 01:29:12,519
Speaker 11: they're now at M four and even that's five hundred

1932
01:29:12,560 --> 01:29:15,360
Speaker 11: bucks and your set. You could run all this stuff

1933
01:29:15,400 --> 01:29:18,960
Speaker 11: right off your your silicon uh, the Macca chipset if

1934
01:29:19,000 --> 01:29:19,240
Speaker 11: you want.

1935
01:29:19,520 --> 01:29:21,599
Speaker 1: Yeah, I just haven't seen the use cases to like

1936
01:29:21,760 --> 01:29:25,000
Speaker 1: justify like these, like like buying a new generation of

1937
01:29:25,040 --> 01:29:27,960
Speaker 1: AI PC's. It doesn't like really stand out to me

1938
01:29:28,280 --> 01:29:29,240
Speaker 1: as so why you would do this.

1939
01:29:29,439 --> 01:29:31,360
Speaker 12: I mean, I think what's really going to drive people

1940
01:29:31,400 --> 01:29:33,200
Speaker 12: to buy new computers is the fact that Windows ten

1941
01:29:33,400 --> 01:29:35,080
Speaker 12: is end of life.

1942
01:29:35,320 --> 01:29:37,320
Speaker 2: Yeah, I mean, no, my dad has to buy a

1943
01:29:37,360 --> 01:29:41,160
Speaker 2: new laptop of it stops the lessons. He loves his laptop.

1944
01:29:41,320 --> 01:29:43,479
Speaker 2: It's like he loves this weird surface thing.

1945
01:29:43,800 --> 01:29:46,280
Speaker 12: Unfortunately not very funny or interesting. The fact that you know,

1946
01:29:46,400 --> 01:29:47,880
Speaker 12: that's the reason why people are gonnaup grade.

1947
01:29:47,880 --> 01:29:51,439
Speaker 2: Also, my dad Jeff, Hi dad. You sometimes listen to

1948
01:29:51,439 --> 01:29:55,000
Speaker 2: these hi head's dad, Everyone say HWI I to my

1949
01:29:55,080 --> 01:29:56,760
Speaker 2: dad and Jeff, let's get a horny check on you

1950
01:29:56,800 --> 01:30:00,479
Speaker 2: as well, if you don't mind not, I am going

1951
01:30:00,520 --> 01:30:02,559
Speaker 2: to have to talk to my father about that.

1952
01:30:03,160 --> 01:30:04,880
Speaker 1: On a scale of chase.

1953
01:30:04,680 --> 01:30:07,519
Speaker 2: To Randy to tell. I'm going to tell the group

1954
01:30:07,600 --> 01:30:11,200
Speaker 2: chat I have with my siblings that I am shortly

1955
01:30:11,400 --> 01:30:15,040
Speaker 2: going to have to find out morning.

1956
01:30:15,120 --> 01:30:18,559
Speaker 10: That is, I can go down to that power they

1957
01:30:18,720 --> 01:30:19,400
Speaker 10: hook your dad up with.

1958
01:30:19,560 --> 01:30:21,360
Speaker 2: I need you to send me the booth numbers chat.

1959
01:30:21,520 --> 01:30:24,040
Speaker 1: I'm going to FaceTime your dad right now.

1960
01:30:25,080 --> 01:30:28,920
Speaker 2: It's ten pm in GMT. Just going for that. Okay,

1961
01:30:28,960 --> 01:30:32,400
Speaker 2: we've got to wrap up them. So Tom McKay, where

1962
01:30:32,400 --> 01:30:33,040
Speaker 2: can people find you?

1963
01:30:33,640 --> 01:30:33,760
Speaker 5: Uh?

1964
01:30:34,040 --> 01:30:36,240
Speaker 1: You can find me at ibrew dot com. You can

1965
01:30:36,280 --> 01:30:39,479
Speaker 1: also find me on Twitter at Twitter dot com, slash

1966
01:30:39,600 --> 01:30:42,760
Speaker 1: the Tom zone or x dot com whatever and uh

1967
01:30:42,960 --> 01:30:46,360
Speaker 1: on blue sky as cattured two dots guy do at

1968
01:30:46,439 --> 01:30:47,479
Speaker 1: social so good.

1969
01:30:47,600 --> 01:30:50,160
Speaker 2: So I bet you're loving that you chose that name.

1970
01:30:50,520 --> 01:30:53,679
Speaker 1: I am not. It's so good. I'm on a bunch

1971
01:30:53,720 --> 01:30:56,960
Speaker 1: of blacklists. I remember everybody thinks that I'm the Actually.

1972
01:30:56,680 --> 01:30:59,400
Speaker 2: I remember when you picked it, being like he is

1973
01:30:59,400 --> 01:31:02,240
Speaker 2: going to get by people. It's so good, Max Chenney

1974
01:31:02,240 --> 01:31:05,439
Speaker 2: web can people find you anywhere where there's a chip?

1975
01:31:06,000 --> 01:31:09,720
Speaker 2: But Okaynell, that's not even factually true. And what's great?

1976
01:31:09,760 --> 01:31:12,000
Speaker 2: By the way, my brother just responded to the thing

1977
01:31:12,120 --> 01:31:14,640
Speaker 2: of I am surely My other brother responded with, what

1978
01:31:14,680 --> 01:31:16,639
Speaker 2: the fuck? I can't wait to explain why my dad

1979
01:31:16,680 --> 01:31:18,760
Speaker 2: is going to have to do a horny check to

1980
01:31:18,920 --> 01:31:21,040
Speaker 2: my siblings. Max to Cheney, weckon people find you, Sorry

1981
01:31:21,120 --> 01:31:25,200
Speaker 2: at Churn and burn on X and Blue Sky and

1982
01:31:25,240 --> 01:31:27,200
Speaker 2: then on LinkedIn. If you want, just look look up

1983
01:31:27,200 --> 01:31:29,600
Speaker 2: my name. Very good, Matt Band to weaken people find you.

1984
01:31:29,680 --> 01:31:32,040
Speaker 11: First of all, I'm sorry for bringing up the sex

1985
01:31:32,040 --> 01:31:34,479
Speaker 11: toys being at CES this year, but yeah, you.

1986
01:31:34,400 --> 01:31:35,559
Speaker 10: Can find me well my Mashable.

1987
01:31:35,880 --> 01:31:39,160
Speaker 11: My CES coverage will be at mashablemashable dot com, and

1988
01:31:39,439 --> 01:31:41,439
Speaker 11: you can find me on you know, all sorts of

1989
01:31:41,439 --> 01:31:45,880
Speaker 11: social media, Blue Sky X, the Everything app, threads at

1990
01:31:46,080 --> 01:31:48,160
Speaker 11: Matt Bender, very good, Jesse for wrong.

1991
01:31:48,560 --> 01:31:51,599
Speaker 3: Yeah, your Kickstarter sucks is the podcast go off Kings

1992
01:31:51,760 --> 01:31:54,479
Speaker 3: is my stream, Yeah, and I'm not on the everything app,

1993
01:31:54,520 --> 01:31:56,679
Speaker 3: but yeah on Blue Sky, jessefar dot com.

1994
01:31:56,800 --> 01:31:59,000
Speaker 2: I probably need to change the episode links because I

1995
01:31:59,080 --> 01:32:01,639
Speaker 2: linked to you on x and I'm of course ed Zeitron.

1996
01:32:01,800 --> 01:32:04,400
Speaker 2: I am now going to have a very uncomfortable conversation

1997
01:32:04,520 --> 01:32:07,280
Speaker 2: with several of my siblings about this episode. Thank you

1998
01:32:07,320 --> 01:32:10,120
Speaker 2: for listening to the first part of the two part

1999
01:32:10,240 --> 01:32:14,240
Speaker 2: Day three Better Offline CS experience was so grateful for you.

2000
01:32:14,400 --> 01:32:16,360
Speaker 2: We love you all. I am ed Zeitron. You can

2001
01:32:16,360 --> 01:32:19,000
Speaker 2: find me everywhere where it says ed Zeitron, other than

2002
01:32:19,040 --> 01:32:21,799
Speaker 2: the parts that make me look bad. Thanks for listening

2003
01:32:21,840 --> 01:32:31,800
Speaker 2: and we'll see you soon. Thank you for listening to

2004
01:32:31,800 --> 01:32:32,680
Speaker 2: Better Offline.

2005
01:32:32,800 --> 01:32:35,200
Speaker 5: The editor and composer of the Better Offline theme song

2006
01:32:35,280 --> 01:32:37,920
Speaker 5: is Mattasowski. You can check out more of his music

2007
01:32:37,960 --> 01:32:41,599
Speaker 5: and audio projects at Mattasowski dot com, m A T

2008
01:32:41,600 --> 01:32:46,080
Speaker 5: T O S O W s ki dot com. You

2009
01:32:46,080 --> 01:32:48,599
Speaker 5: can email me at easy at Better offline dot com

2010
01:32:48,720 --> 01:32:51,040
Speaker 5: or visit better offline dot com to find more podcast

2011
01:32:51,080 --> 01:32:54,400
Speaker 5: links and of course, my newsletter. I also really recommend

2012
01:32:54,439 --> 01:32:56,360
Speaker 5: you go to chat dot Where's youreed dot at to

2013
01:32:56,439 --> 01:32:58,800
Speaker 5: visit the discord, and go to our slash.

2014
01:32:58,479 --> 01:33:01,640
Speaker 2: Better Offline to check out our reddit. Thank you so

2015
01:33:01,760 --> 01:33:02,479
Speaker 2: much for listening.

2016
01:33:03,320 --> 01:33:06,040
Speaker 6: Better Offline is a production of cool Zone Media. For

2017
01:33:06,120 --> 01:33:10,200
Speaker 6: more from cool Zone Media. Visit our website coolzonmedia dot com,

2018
01:33:10,280 --> 01:33:13,160
Speaker 6: or check us out on the iHeartRadio app, Apple Podcasts,

2019
01:33:13,240 --> 01:33:14,720
Speaker 6: or wherever you get your podcasts.