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Speaker 1: As media.

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Speaker 2: Sponsored by Alaska Airlines. It's not sponsored by that. Betrofline

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Speaker 2: is not sponsored by Alaska Airlines. You just want to

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Speaker 2: be abundantly clear. However, my name is ed Zeitron. That

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Speaker 2: is not made up. It's on my passport and my

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Speaker 2: birth certificate. Welcome to bet Rofline with Day four and

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Speaker 2: our part two episode. And we're joined now by Sean

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Speaker 2: o'cane of tech Crunch, the Transportation Senior Transportation Report, I believe, Yeah,

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Speaker 2: among other things, wonderful, Curissa Belle of n Gadget. How

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Speaker 2: are you doing, Carissa, I'm doing great. Hell yeah. And

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Speaker 2: of course David J. Roth Hi, which is what you

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Speaker 2: have to type in to find you on Blue Sky.

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Speaker 2: Can't just type roth.

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Speaker 1: No, there's another guy. There's a more famous guy with

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Speaker 1: my name.

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Speaker 2: No, there's just a bunch of other guys with Okay,

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Speaker 2: you'll roth maybe, No.

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Speaker 1: The Van Hilling.

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Speaker 2: Yeah, he's not on Blue Sky.

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Speaker 1: You don't know that.

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Speaker 3: He's probably just I've looked he's on an old Yeah,

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Speaker 3: it's Adrian Ditman.

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Speaker 2: Oh god, that's like a hours of kind of okay. Anyway,

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Speaker 2: so Surean, what have you seen that the show that.

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Speaker 3: Mattss well, it's a weird show for me because on

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Speaker 3: the transportation side of things, for years, this was like

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Speaker 3: everybody was, see he as is a car show, See

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Speaker 3: he has a car show. All the people who ran

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Speaker 3: Detroit Autric the other American auto shows felt very fearful

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Speaker 3: that this was what was drawing all the attention right that.

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Speaker 3: You know, I don't know if it's a commodation of

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Speaker 3: the pandemic or the US automakers not caring as much

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Speaker 3: about trying to show off that they're innovative. That's just

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Speaker 3: not there's nothing here on that side of things, on

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Speaker 3: the automotive side of things, so it's been a lot

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Speaker 3: of trying to find anything else within our sort of

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Speaker 3: scope of that kind of broad transportation stuff.

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Speaker 2: So I don't know, it's been weird.

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Speaker 3: Like the biggest thing that we've had keynote wise, there's

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Speaker 3: been two. There was BMW, which was just showing off.

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Speaker 3: It was the most like I always separate them into

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Speaker 3: sort of like there's just the straightforward press conference keynote thing.

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Speaker 3: There's the mid tier one, which was BMW was definitely

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Speaker 3: that it was like Tim Meadows sadly making jokes about

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Speaker 3: like his dick because the whole Conceit was like we

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Speaker 3: were being shrunk to fit inside of a BMW be.

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Speaker 2: Most the woman allowed into that really didn't like it.

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Speaker 2: Yeah it was yeah, I mean it was.

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Speaker 3: It was not explicit, but it was a year is

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Speaker 3: this well and he was joined by Ken Jong, so

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Speaker 3: you know at least twenty seventeen. But that was all

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Speaker 3: just about like, you know, a user interface that's years

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Speaker 3: away from being here. It wasn't even about like a

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Speaker 3: new vehicle or anything nice. But then there's like the

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Speaker 3: top tier like go all out and that this year

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Speaker 3: that was Delta, which ed Bastian the CEO of that.

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Speaker 3: They they did it in the sphere. They filled the

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Speaker 3: room with what seems like many Delta employees. Nice so

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Speaker 3: people were like going crazy and they brought out the

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Speaker 3: whole thing started was this with Lenny Kravitz. Yes, it

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Speaker 3: ended with Ley Lenny Kravitz. It started with Viola David,

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Speaker 3: who is that uh famous that yeah, what did she?

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Speaker 4: I know?

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Speaker 1: Lenny Kravitz played a song where her rhymes fly with fly,

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Speaker 1: what if what if my old Davis dude like just

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Speaker 1: come out there and have gravitas And yes.

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Speaker 2: Absolutely, I mean you could.

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Speaker 3: That is that it is probably that is definitely what

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Speaker 3: they wrote on the invoice.

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Speaker 1: Yeah, she rocks. I'm sure that nobody does it better.

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Speaker 1: There's just kind of.

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Speaker 3: Like somebody in our somebody in our on our team

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Speaker 3: that's been helping cover this. Made the joke that it

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Speaker 3: was like the biggest gap between talent and substance as

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Speaker 3: far as these like celebrity presentations of this week, and

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Speaker 3: it was definitely true.

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Speaker 1: But yeah, it was wors and Wells Paul mess on

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Speaker 1: wine commercial. Yeah, yeah, and Wilson Wells would really fucking

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Speaker 1: hate apps anyway.

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Speaker 3: He would be here at ce S though, taking a

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Speaker 3: check Samsung Bali. But it started with her.

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Speaker 2: It started with her.

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Speaker 3: Had you know it was It was very weird because

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Speaker 3: Ed Bashion was It felt like he was trying to

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Speaker 3: like justify being in the sphere and being at CEES

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Speaker 3: by talking about we're going to talk tonight about the

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Speaker 3: next one hundred years of aviation And I was like,

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Speaker 3: that's weird.

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Speaker 2: That wasn't in the embargo press materials. But he never did.

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Speaker 2: That's not what it was.

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Speaker 3: It was like them spending They had these like little

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Speaker 3: vignettes about how generative AI is. Gonna tell you not

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Speaker 3: to take the car through traffic and instead you'll take

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Speaker 3: a electric vertical takeoff and the landing thing to the airport.

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Speaker 2: It was just it was all you think. It was

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Speaker 2: the very real vetoles that definitely exactly. Yeah.

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Speaker 3: It was like, here are all the ways we're going

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Speaker 3: to treat the richest passengers on Delta like babies, because

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Speaker 3: that's what they want. And uh and then Tom Brady

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Speaker 3: came out and really, yeah, this is why I'm surprised

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Speaker 3: you didn't know about. Tom Brady came out and two incredible.

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Speaker 2: Gifts that he gave the world.

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Speaker 3: One, they're launching an exclusive travel show hosted by him

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Speaker 3: that will only be available on Delta flights. It's incredible

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Speaker 3: and and we're a threat and in lieu you know.

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Speaker 3: In addition to that, he wanted to offer the second gift,

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Speaker 3: which was his top three travel.

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Speaker 2: Hacks be Richt Yeah and see one and two.

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Speaker 1: Do you remember what the hacks were going?

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Speaker 2: Oh yeah, actually genuinely wondering.

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Speaker 3: Yeah, I mean you're really you're awfully close, sir. The

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Speaker 3: first one was drink water.

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Speaker 1: Yeah, the second one don't eat night shades is the

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Speaker 1: third one some dietary ship. That's even crazier than that.

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Speaker 3: Yeah, I mean you guys, I mean I was imagining

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Speaker 3: that you would be pretty close to the heart heat

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Speaker 3: on this one.

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Speaker 2: So many ideas other than water, Yeah, that's what he

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Speaker 2: started with.

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Speaker 3: Number two was make sure you're healthy, make sure you're

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Speaker 3: maintaining your health.

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Speaker 2: Okay uh.

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Speaker 3: And then number three so no, uh, number three, get

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Speaker 3: work done on the airplane. Use that time to be productive.

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Speaker 1: Thoughts of dog. That's really great.

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Speaker 2: So Carissa, how's your show?

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Speaker 1: Beam?

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Speaker 2: What have you been on? Anything good?

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Speaker 5: So I've been on the robot beat.

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Speaker 2: Cool. That sounds like a real thing, like, yes, don't

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Speaker 2: break his heart.

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Speaker 5: Mostly the best ones I've seen so far are been

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Speaker 5: cute robots that don't really do anything but make you

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Speaker 5: kind of happy.

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Speaker 1: Uh huh. I saw one that I found heart rending.

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Speaker 1: We went down Edward hungayso and I went down to

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Speaker 1: the like the Eureka Room, which is basically like like

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Speaker 1: Gollum lives there most of the city, and they had

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Speaker 1: it was a very cute robot dog. But it was

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Speaker 1: for people that have like dementia or that like couldn't

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Speaker 1: really have a pet, but that the experience of having

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Speaker 1: a pet would work for them. You know that would

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Speaker 1: be beneficial. And I mean that part was nice and

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Speaker 1: heart rending to me for reasons I don't need to,

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Speaker 1: you know, put on this podcast because they're trying to

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Speaker 1: keep the light. But mostly I was just like, damn,

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Speaker 1: that's a that's a cute robot dog that you've made.

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Speaker 5: They're a surprising number of emotional support robots here at CES.

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Speaker 1: Interesting is that like a long standing thing.

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Speaker 2: This is my first few years ago, Like they've had

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Speaker 2: them before, They're.

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Speaker 5: Not necessarily new there. A lot of them are from

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Speaker 5: Japanese companies, which is kind of interesting.

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Speaker 2: Is there a reason behind that or I mean, I.

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Speaker 5: Don't know if there's like an official reason other than

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Speaker 5: I think they have, like they like weird.

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Speaker 2: Stuff there, Like, I don't know, that's cool.

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Speaker 5: Our favorite one, which we actually ate, won and Gadget

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Speaker 5: Award for Best of CS, was this cute little furry

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Speaker 5: robot that can sit on your arm or on a

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Speaker 5: purse or something. It all does a stare at you.

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Speaker 2: Okay, they mentioned this earlier and it chilled me to

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Speaker 2: the bone. I'm just thinking of the morrowind MPC like

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Speaker 2: just snapping on you, like criminal. Put that down.

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Speaker 5: No, it's so cute and it's like soft, and it's

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Speaker 5: not what I like about it. It's not supposed to

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Speaker 5: do anything other than just like make you happy when

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Speaker 5: you look at it, and it doesn't.

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Speaker 1: So does it need to be a robot? Yeah, because

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Speaker 1: like what you're describing could work as a stuffed animal

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Speaker 1: to me and less like what's the robot stuff that

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Speaker 1: it does? Oh, the eyes follow you.

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Speaker 5: Yeah, the eyes look at you a little bit. I

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Speaker 5: mean that's pretty much it. You know, it's more of

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Speaker 5: a like souped up Ferbie.

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Speaker 1: Actually I saw a bunch of stuff that to me,

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Speaker 1: like in you know, again just as more or less

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Speaker 1: being ignorant with it. Just I was like, yeah, that's

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Speaker 1: a Furby of some kind. Like I'm going to come

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Speaker 1: back to that. But yeah, they're still like refining the

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Speaker 1: Ferby experience for different you know, market sectors and needs.

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Speaker 1: It seems like, which I guess is cool. I mean

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Speaker 1: that Ferby is probably was here.

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Speaker 2: It was Ferbie actually here, I don't think so, Yeah,

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Speaker 2: I don't think. So that's a disappointment.

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Speaker 3: I can't stop thinking about iterating on the Ferbie to

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Speaker 3: return more shareholders.

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Speaker 1: Val Right innovated.

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Speaker 2: As far as the Furby goes in non cut gems.

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Speaker 1: Banging on a table in like on a zoom call,

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Speaker 1: but like three.

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Speaker 2: People check this out.

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Speaker 1: Yeah, he loves to say it.

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Speaker 2: This is how I lose. So did you see any

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Speaker 2: weird robots though? Other than the emotional support ones? Did

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Speaker 2: you see anything bizarre? Yes?

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Speaker 5: So I was attacked by one.

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Speaker 2: Perfect is how.

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Speaker 1: Was that.

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Speaker 5: Slightly terrifying? So there's this Chinese company called, I think

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Speaker 5: it's pronounced Unitary that they have a like the like

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Speaker 5: knock off Boston Dynamics robots. So their new one is

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Speaker 5: like a like a quadruped that's like spot you know,

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Speaker 5: it's like, yeah, those creepy dog ones that runs around

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Speaker 5: and they bounce around.

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Speaker 4: Yeah.

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Speaker 5: And then they have a humanoid one, oh no, that

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Speaker 5: I think it's called the g One. And so we're

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Speaker 5: at the booth and we're taking photos of it, and

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Speaker 5: I'm standing right in front of it, and there's a

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Speaker 5: guy controlling it and he puts the controller under his

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Speaker 5: arm and mashes the joystick forward, so it runs at

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Speaker 5: me full speed. Oh my god, I got sixty pound

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Speaker 5: Jesus probably four foot doll robot and just and he

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Speaker 5: didn't really realize what was happening at first, So there

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Speaker 5: was probably about four seconds where it.

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Speaker 1: Was just like, fully, yes, God, what the hell?

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Speaker 5: I know? But I can't even blame the robot because

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Speaker 5: it was user error from this guy. But the funniest

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Speaker 5: part was was that the conversation that happened immediately after

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Speaker 5: this implied that this was not the first time that

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Speaker 5: it happened.

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Speaker 1: Come on, man, that feels like a skill issue visa

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Speaker 1: Vie the joystick though, Like you just need to stow

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Speaker 1: that shit in a different way.

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Speaker 2: Well maybe you're trying, but all right, things are.

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Speaker 1: Feel like in the four seconds when the robot was yeah, like.

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Speaker 5: Like a sixty pound piece of metal knee capping you.

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Speaker 1: Yeah, Like does that hit you?

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Speaker 2: Yes?

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Speaker 1: Oh no, it made full contact with me. I thought

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Speaker 1: it was like chasing you, and you were kind of like,

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Speaker 1: turn this off.

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Speaker 2: Vegas is a personal liability haven. There are like lawyers everywhere.

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Speaker 2: You can call one. Now that company is dust.

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Speaker 5: I know, we're just we're really disappointed that we somehow

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Speaker 5: failed to get to somebody. I was actually taking photos

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Speaker 5: at the time, but I was so shocked by what

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Speaker 5: happened I did not take photos of it.

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Speaker 1: Actually, I mean, you were being assaulted by a robot.

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Speaker 1: That is crazy and happened multiple times. Any good ones

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Speaker 1: like positives we're really trying the little steering guy, Yeah,

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Speaker 1: the steering one.

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Speaker 2: That's yeah, it.

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Speaker 1: Would never hurt you like that robot couldn't even chase

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Speaker 1: you probably, No, just look could you?

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Speaker 5: It just looks at you and is you know, gives

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Speaker 5: you a little shot of serotonin.

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Speaker 2: Yeah, I don't get that. I don't have that in me.

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Speaker 2: So anything else, like is it just robotics for you've

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Speaker 2: been covering on this trip? No.

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Speaker 5: I also I went to Linda Akarino's keynote.

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Speaker 2: Oh wow, yeah, so I hey, the power is crazy.

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Speaker 1: She I have to like watch that tape just as

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Speaker 1: a it's a longtime fan of her work. Was she electric?

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Speaker 1: Was the vibe in the room electric? Have you ever

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Speaker 1: seen her speak up a little bit? And it looks well,

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Speaker 1: I mean whatever, strangely rendered like it just doesn't it's

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Speaker 1: life like, So credit where it's due.

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Speaker 5: But we were talking about this, you know, for somebody

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Speaker 5: who was a media executive for a long time, she's

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Speaker 5: very at least I mean, and I never saw her

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Speaker 5: speak in her prior role, but you know, when she's

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Speaker 5: speaking her capacity as x CEO, she just you know,

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Speaker 5: it kind of sounds like she's speaking in sort of

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Speaker 5: like soundbites, but they don't make sense together. Yeah, you know,

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Speaker 5: like she's memorized like these three word things that she's

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Speaker 5: supposed to say.

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Speaker 1: But someone tucked a joystick under their arm does have

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Speaker 1: a like the bit that I always have as my

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Speaker 1: comparison is like those like soundboards that they used to

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Speaker 1: have online where it would just be like different, like

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Speaker 1: Arnold Schwarzenegger saying different lines from Kindergarten Cop and you

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Speaker 1: push a button then he goes no. When you push

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Speaker 1: another one and he goes, how are you? And like,

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Speaker 1: but that's like sort of she just feels like she's

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Speaker 1: got the presets and then someone's just back there going

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Speaker 1: to town and whatever.

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Speaker 2: I can actually expect running a pe off them. I

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Speaker 2: can tell you she is perfectly media trained. The problem

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Speaker 2: is that media training is very rarely prepared for a

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Speaker 2: person who has nothing else. You usually, I ideally your

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Speaker 2: training so.

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Speaker 1: They can use that magic inside them, they can bring

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Speaker 1: out the personality.

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Speaker 2: The problem is I don't know whether Linda has one,

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Speaker 2: and she does. She does everything. She even does the

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Speaker 2: accordion the you meant to gesture and bring them in

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Speaker 2: and then gesture, which is meant to not be literally

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Speaker 2: doing these movements of your hands like out and then

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Speaker 2: in instead the whole fucking time. And also she sounds

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Speaker 2: like she's prepared the sound exactly. But you're meant to

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Speaker 2: fill those in, Linda, you meant to have other thoughts

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Speaker 2: that connect these thoughts together, not just be like exes

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Speaker 2: where it happens and that's what's online.

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Speaker 1: So that's what you're saying, then, is it was sort

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Speaker 1: of like similar to the experience of her feed, Yes,

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Speaker 1: which sounds like it would be incredibly jarring to witness life.

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Speaker 5: I mean it was lots of you know, uh, the

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Speaker 5: legacy media is basically fan fiction for something like I was.

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Speaker 5: Even even just trying to get like a usable quote

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Speaker 5: is very difficult because it just when you look at

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Speaker 5: it and in front of you, like the words together

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Speaker 5: don't make sense.

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Speaker 3: It's fantastic spinning a big wheel the legacy media.

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Speaker 1: Yeah, it's like, uh, oh, this was adjective, this could

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Speaker 1: be anything.

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Speaker 2: Well, no, you say that, but she talked about like

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Speaker 2: the grooming gangs in the UK, So it kind of

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Speaker 2: was that. It kind of actually she did.

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Speaker 5: Yeah, I kind of tuned out that part.

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Speaker 2: I would have too.

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Speaker 5: At that end, but I think she just uses like

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Speaker 5: whatever Elon Musk is tweeting about that day as kind

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Speaker 5: of like inspiration.

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Speaker 2: Yeah, X has been grateful the fourteen were Oh maybe

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Speaker 2: not if No, she she has managed to stay, like

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Speaker 2: for now, somewhat pure. But it is interesting that the

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Speaker 2: CS thing she started to just crack and she's letting

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Speaker 2: the Elon Musk bits through. And I think by this,

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Speaker 2: like this time next year, she'll either have left or

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Speaker 2: been fired and blamed for everything as the money runs

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Speaker 2: out of the X.

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Speaker 5: The funny thing was that this keynote room was at

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Speaker 5: best half full, and like half of the people were asleep,

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Speaker 5: but then the other.

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Speaker 1: Time to find a seat here, so the other half were.

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Speaker 5: Really into it. People were when she started talking about

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Speaker 5: the grooming gangs, people were cheering, Yeah, like wow.

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Speaker 1: So what were how many people should there have been

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Speaker 1: in that room? I don't know the space.

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Speaker 5: It was one of those larger ballrooms in the Venetians,

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Speaker 5: so it's definitely not you know, one of like the

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Speaker 5: mega kenote size rooms. I really couldn't fine, but there's

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Speaker 5: are of like two sections, like the front half was

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Speaker 5: pretty full, but like there's an entire back half that

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Speaker 5: was completely empty.

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Speaker 1: It's the idea of her getting up there and like

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Speaker 1: free associating about grooming gangs in the UK to sixty

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Speaker 1: people feel like this has been the whole, This is

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Speaker 1: the actual I mean, like you know, cards on the table.

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Speaker 1: I don't really like Linda Ya Karino's work that much.

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Speaker 1: I was just I was doing a bit. But I

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Speaker 1: do think that there's something about her as like as

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Speaker 1: a character and as a performance that I found really fascinating,

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Speaker 1: just because she has to get up there and like

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Speaker 1: abase herself on Elon's behalf and in Elon's words, that

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Speaker 1: like that's the actual gig, you know, and so the

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Speaker 1: idea of seeing that happening to it, it's like it's

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Speaker 1: weird enough, you know, to every now and then. I

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Speaker 1: don't really look at Twitter much anymore, but people will

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Speaker 1: sometimes send me when she says like a weird reply,

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Speaker 1: like the one where she just said hot dog, you know,

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Speaker 1: like I got that a bunch of times. I'm really

355
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Speaker 1: glad that I did. It's cool that that's my brand

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00:16:05,040 --> 00:16:07,800
Speaker 1: that people are like, you'd probably like this bit of

357
00:16:08,080 --> 00:16:11,760
Speaker 1: check out this, But the idea of there being like

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Speaker 1: a real person doing that in a room feels like

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Speaker 1: I would have felt I would have had a hard

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Speaker 1: time I think watching it, like, I feel like I

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Speaker 1: would have felt embarrassed for her.

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Speaker 2: I've been sharing the whole time.

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Speaker 3: Yeah, was there a point because she was being interviewed, right,

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00:16:24,640 --> 00:16:27,600
Speaker 3: It wasn't just was there like a point to the interview?

365
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Speaker 2: Like what were they trying to achieve? Yeah?

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Speaker 1: So much.

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Speaker 2: It's a good question.

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Speaker 5: So they started off, you know, talking about Mark Zuckerberg

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Speaker 5: and him saying that he wants to you know, do

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Speaker 5: community notes on Facebook, and of course she was, you know,

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Speaker 5: a very big fan of that. She had like this

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00:16:44,320 --> 00:16:47,320
Speaker 5: one very obviously cand line that was, you know, Mark Metow,

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Speaker 5: welcome to the party.

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Speaker 1: Okay, that's good though, you got to have a couple

375
00:16:51,720 --> 00:16:55,840
Speaker 1: of but some real bangers written ahead of time that,

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Speaker 1: you know, I imagine I got a huge pop.

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Speaker 6: In the room.

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00:16:58,080 --> 00:17:02,840
Speaker 1: Everybody was like, yes, go off, queen. I was silent, Yeah, weird.

379
00:17:05,200 --> 00:17:08,520
Speaker 2: I'd love to be the guys that Yeah, yeah, welcome

380
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Speaker 2: to the party.

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Speaker 3: Pal.

382
00:17:10,480 --> 00:17:15,720
Speaker 2: I paid two hundred bucks a month for groc Yeah,

383
00:17:16,200 --> 00:17:18,280
Speaker 2: anyone check out the logo of Grok by the way,

384
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Speaker 2: I feel like someone brought this up before, but the

385
00:17:20,200 --> 00:17:23,600
Speaker 2: logo of Grok is insane. I looked I need to

386
00:17:24,320 --> 00:17:26,399
Speaker 2: I now realize how impractical it's going to be to

387
00:17:26,400 --> 00:17:28,520
Speaker 2: show every visual medium. I'm just going to show this

388
00:17:28,560 --> 00:17:32,960
Speaker 2: to David because I'll describe it. It's like an x I.

389
00:17:32,600 --> 00:17:35,639
Speaker 3: Like, Oh, it's it's the x AI logo, isn't it

390
00:17:35,720 --> 00:17:40,600
Speaker 3: right that? Yeah, it's the logo for his artificial intelligence company.

391
00:17:41,320 --> 00:17:44,000
Speaker 2: Yeah, it looks like a generative AI defect.

392
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Speaker 1: It's like you're talking about the one with the cat.

393
00:17:47,800 --> 00:17:52,400
Speaker 2: No, no, I'm saying that it's just the fucking that's

394
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Speaker 2: my phone background, David.

395
00:17:53,720 --> 00:17:56,440
Speaker 1: Right, Sorry, it's my beautiful boy pingus like that's a

396
00:17:56,560 --> 00:17:58,240
Speaker 1: cat rock fingus.

397
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Speaker 2: Jesus Christ.

398
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Speaker 1: So mad feeling all our best ideas.

399
00:18:03,119 --> 00:18:05,840
Speaker 2: I'm not an uncle with three horrible sons that each

400
00:18:05,840 --> 00:18:07,719
Speaker 2: have a full dealership. Jesus Christ.

401
00:18:08,280 --> 00:18:11,080
Speaker 1: So I haven't seen as much about like who's speaking here?

402
00:18:11,080 --> 00:18:13,880
Speaker 1: I know? Yeah, that like Yakaren, who I was aware

403
00:18:13,920 --> 00:18:16,520
Speaker 1: of because again, like people in my life like to

404
00:18:16,520 --> 00:18:19,800
Speaker 1: tell me when she does things. But the other stuff

405
00:18:19,880 --> 00:18:22,879
Speaker 1: is that like again as a you know, nube to

406
00:18:23,280 --> 00:18:26,080
Speaker 1: the cees, experience, it doesn't seem like people are here

407
00:18:26,160 --> 00:18:29,679
Speaker 1: to well, they're here to like do deals and like

408
00:18:29,880 --> 00:18:33,840
Speaker 1: have or be pursued by robots. Then there's not like

409
00:18:34,160 --> 00:18:36,080
Speaker 1: it doesn't feel like there's a thing where people are

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00:18:36,080 --> 00:18:39,040
Speaker 1: here to like watch people talk. Is that a part

411
00:18:39,040 --> 00:18:41,639
Speaker 1: of the culture that, like his speech is usually a

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Speaker 1: big deal here?

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Speaker 3: Yeah, I mean, yeah, okay, historically, I mean there's a

414
00:18:45,920 --> 00:18:49,159
Speaker 3: really good one. I mean, if I could genuinely recommend one,

415
00:18:49,200 --> 00:18:51,480
Speaker 3: there's one from two thousand and nine that you should

416
00:18:51,480 --> 00:18:54,960
Speaker 3: watch where Tom Hanks came out to do some presentation

417
00:18:55,040 --> 00:18:56,760
Speaker 3: on behalf of Sony because this is when he was

418
00:18:56,800 --> 00:19:00,000
Speaker 3: doing the Angels and Demons Da Vinci Code fr Oh yeah,

419
00:19:00,400 --> 00:19:02,399
Speaker 3: So it was basically like written into his contract like

420
00:19:02,480 --> 00:19:05,000
Speaker 3: come to CDs and cs and like talk about these

421
00:19:05,040 --> 00:19:08,760
Speaker 3: new ar glasses that clearly materialized in the last decade.

422
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Speaker 1: That was the first time anybody saw them before they

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Speaker 1: became ubiquitous.

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00:19:12,119 --> 00:19:15,080
Speaker 3: Yeah, And it's just the best example of like someone

425
00:19:15,160 --> 00:19:17,119
Speaker 3: who was really willing to take the piss out of

426
00:19:17,160 --> 00:19:19,520
Speaker 3: the whole experience and not like Tim Meadows, like the

427
00:19:19,560 --> 00:19:22,159
Speaker 3: other day at the BMW thing was like sort of

428
00:19:22,240 --> 00:19:25,399
Speaker 3: doing it, but in like the lightest touchway like making

429
00:19:25,440 --> 00:19:28,520
Speaker 3: fun of like all these German automotive executives around him,

430
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Speaker 3: but like you know, within generous reason.

431
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Speaker 2: Tom Hanks is.

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Speaker 3: Like like you could feel them sort of like slipping

433
00:19:36,160 --> 00:19:37,600
Speaker 3: the hook around his neck to get him.

434
00:19:37,520 --> 00:19:41,359
Speaker 2: Off the stage. Nice. So it's it's definitely part of it.

435
00:19:41,400 --> 00:19:44,000
Speaker 1: I haven't witnessed any of the famous person part of

436
00:19:44,040 --> 00:19:46,280
Speaker 1: it because I know that's apparently there's like a Williams here.

437
00:19:46,760 --> 00:19:51,880
Speaker 3: William william I wouldn't be surprised. He's here like pretty

438
00:19:51,960 --> 00:19:54,679
Speaker 3: much every year, Yeah, with some new bad products, some

439
00:19:54,720 --> 00:19:58,480
Speaker 3: new scam. Yeah, there's the first few nights. There's always

440
00:19:58,480 --> 00:20:02,040
Speaker 3: some big event. It's you know, somebody. Different companies get

441
00:20:02,040 --> 00:20:04,399
Speaker 3: to get it every year. The last time I was

442
00:20:04,400 --> 00:20:06,920
Speaker 3: here twenty twenty, one of the big ones was Mercedes

443
00:20:06,960 --> 00:20:09,040
Speaker 3: Benz did a big one of the big keynotes and

444
00:20:09,200 --> 00:20:11,639
Speaker 3: they rolled out some concept car that was sort of

445
00:20:11,680 --> 00:20:14,400
Speaker 3: based on Avatar, and so the concept car had these

446
00:20:14,440 --> 00:20:17,800
Speaker 3: like scales that rose up and stuff, and then James

447
00:20:17,840 --> 00:20:19,960
Speaker 3: Cameron came out and was like, here's a still from

448
00:20:20,000 --> 00:20:20,760
Speaker 3: Avatar too.

449
00:20:21,880 --> 00:20:23,000
Speaker 2: Yeah, I'm still making it.

450
00:20:23,000 --> 00:20:25,679
Speaker 3: It's coming, and like you know, it was whatever that

451
00:20:25,720 --> 00:20:27,719
Speaker 3: was when people were still kind of unsure about that happening,

452
00:20:27,720 --> 00:20:30,720
Speaker 3: but so yeah, it's it's a part of the culture, Okay.

453
00:20:31,000 --> 00:20:32,800
Speaker 3: It's a thing for people to do after they've been

454
00:20:32,840 --> 00:20:34,600
Speaker 3: like suffering on the show floor all day, is like

455
00:20:34,640 --> 00:20:37,040
Speaker 3: go sit in an arena and watch Michael Bay talk

456
00:20:37,080 --> 00:20:38,280
Speaker 3: about Samsung display.

457
00:20:38,320 --> 00:20:40,320
Speaker 1: He was gonna say, like I would have by the

458
00:20:40,440 --> 00:20:42,719
Speaker 1: end of today, Like I would sit pretty much anywhere

459
00:20:42,720 --> 00:20:43,760
Speaker 1: and watch pretty much anyone to.

460
00:20:43,720 --> 00:20:45,360
Speaker 2: Talk about take too much any of the not off

461
00:20:45,359 --> 00:20:45,680
Speaker 2: in the back.

462
00:20:45,760 --> 00:20:48,600
Speaker 1: Yeah, yeah, I'm not sure that. Yeah, Like if I

463
00:20:48,640 --> 00:20:50,920
Speaker 1: could get in there and like charge my phone, I'd

464
00:20:50,920 --> 00:20:53,560
Speaker 1: be like, just not the grooming gang stuff. It's bringing

465
00:20:53,560 --> 00:20:55,359
Speaker 1: the mood down in the room, but the rest of it.

466
00:20:55,640 --> 00:20:57,800
Speaker 1: I got ten minutes before this thing's full. I just

467
00:20:57,920 --> 00:21:01,680
Speaker 1: let me sit. Did you like anything at the show, Caissa,

468
00:21:01,760 --> 00:21:02,440
Speaker 1: Anything good?

469
00:21:02,880 --> 00:21:05,720
Speaker 2: Anything like truly joyous, like anything, put a big smile

470
00:21:05,800 --> 00:21:08,000
Speaker 2: on your face. Anything. I'm really trying with everyone.

471
00:21:08,720 --> 00:21:13,159
Speaker 5: So we saw a cane for people who are blind

472
00:21:13,200 --> 00:21:15,800
Speaker 5: that has AI in it, and it was actually like

473
00:21:15,800 --> 00:21:19,480
Speaker 5: an We thought it was an interesting use of AI

474
00:21:19,600 --> 00:21:20,840
Speaker 5: and chatchupt.

475
00:21:20,480 --> 00:21:21,240
Speaker 2: How did it use it?

476
00:21:21,840 --> 00:21:24,760
Speaker 5: So it has a camera on it and a little speaker,

477
00:21:24,960 --> 00:21:27,600
Speaker 5: so as you're walking around, it can tell you like

478
00:21:27,640 --> 00:21:31,520
Speaker 5: when it sees an obstacle like help you, like like oh,

479
00:21:31,560 --> 00:21:34,439
Speaker 5: there's a stare ahead of you, or there's, you know,

480
00:21:34,480 --> 00:21:35,159
Speaker 5: a lamp post.

481
00:21:35,200 --> 00:21:37,440
Speaker 2: This sounds really good into the hallucinations.

482
00:21:37,640 --> 00:21:40,800
Speaker 5: But what we liked about it was that it's still cane,

483
00:21:40,880 --> 00:21:42,720
Speaker 5: so like, even if the AI stuff doesn't work, it's

484
00:21:42,760 --> 00:21:45,080
Speaker 5: not like, you know, the person is stranded and has

485
00:21:45,840 --> 00:21:48,360
Speaker 5: no way to sure. But if you're around nation.

486
00:21:49,000 --> 00:21:51,800
Speaker 2: I know, it sounds like it'd actually be useful, especially

487
00:21:51,840 --> 00:21:54,199
Speaker 2: because I assume that no one would trust it fully.

488
00:21:55,000 --> 00:21:56,920
Speaker 5: I mean the person who made it, who runs the

489
00:21:56,960 --> 00:21:58,320
Speaker 5: company is has been blind.

490
00:21:58,320 --> 00:22:01,240
Speaker 2: Since that's essentially a genuinely like sorry, that's not a

491
00:22:01,320 --> 00:22:03,720
Speaker 2: good thing, just to be clear, but it's they have

492
00:22:03,840 --> 00:22:05,920
Speaker 2: the experience to make a product that would be good.

493
00:22:05,920 --> 00:22:07,040
Speaker 2: They would go for awless.

494
00:22:07,560 --> 00:22:09,879
Speaker 1: Yeah, the accessibility tech was the stuff today that it

495
00:22:10,000 --> 00:22:12,520
Speaker 1: was like the first thing that I saw that. Like, again,

496
00:22:12,560 --> 00:22:15,080
Speaker 1: I'm a soft touch, so I'm like impressed by like

497
00:22:15,280 --> 00:22:17,320
Speaker 1: a cool TV. There's a part of me that's like, damn,

498
00:22:17,440 --> 00:22:18,880
Speaker 1: you got a lot of colors on that thing.

499
00:22:19,440 --> 00:22:20,280
Speaker 2: Nice nailed it.

500
00:22:20,800 --> 00:22:23,600
Speaker 1: But the yeah, there was some of the I think

501
00:22:23,640 --> 00:22:25,399
Speaker 1: if it's the thing that I'm talking about. There's like

502
00:22:25,440 --> 00:22:26,800
Speaker 1: two of them right next to each other on the

503
00:22:26,840 --> 00:22:29,359
Speaker 1: Eureka floor, the smart can or maybe there's more of

504
00:22:29,400 --> 00:22:31,480
Speaker 1: them here, but I did see there was one that

505
00:22:31,600 --> 00:22:33,479
Speaker 1: did have like the AI bells and whistles, and then

506
00:22:33,480 --> 00:22:35,440
Speaker 1: there was one of them which I remember Edward and

507
00:22:35,480 --> 00:22:37,960
Speaker 1: I both being struck by that was like, you don't

508
00:22:38,000 --> 00:22:39,680
Speaker 1: have to have the Internet to use this, Like it

509
00:22:39,800 --> 00:22:42,320
Speaker 1: was like clearly designed for like people that were like

510
00:22:42,840 --> 00:22:46,240
Speaker 1: older and wanted a simpler experience of it without any

511
00:22:46,320 --> 00:22:48,120
Speaker 1: of that stuff. But in both of those cases, there's

512
00:22:48,320 --> 00:22:51,600
Speaker 1: you know, so much of For me walking around on

513
00:22:51,640 --> 00:22:56,720
Speaker 1: the floor was like seeing these technologies that could potentially

514
00:22:56,840 --> 00:23:03,200
Speaker 1: deliver solutions applied weirdly to non problems in really overdetermined ways.

515
00:23:03,240 --> 00:23:04,480
Speaker 1: And in this case, it's sort of like, oh, well,

516
00:23:04,480 --> 00:23:06,239
Speaker 1: this would actually help somebody have a better life. That's

517
00:23:06,320 --> 00:23:08,240
Speaker 1: kind of a cool thing to do with technology.

518
00:23:08,400 --> 00:23:11,720
Speaker 2: Yeah, But also, how does it connect to the Internet.

519
00:23:11,760 --> 00:23:15,040
Speaker 2: I'm now chat GPT requires an Internet connection? Do you

520
00:23:15,119 --> 00:23:17,000
Speaker 2: have to have Wi Fi for it? Does it connect

521
00:23:17,000 --> 00:23:17,480
Speaker 2: to your phone?

522
00:23:19,240 --> 00:23:21,600
Speaker 5: That is a good question. I didn't write her a

523
00:23:21,600 --> 00:23:22,040
Speaker 5: piece about it.

524
00:23:22,080 --> 00:23:24,040
Speaker 2: Sorry, I don't know not your problem. I would be

525
00:23:24,119 --> 00:23:26,520
Speaker 2: looking at the piece later. But also that's the thing.

526
00:23:27,040 --> 00:23:28,919
Speaker 2: Every time you hear as a listener, if you hear

527
00:23:29,040 --> 00:23:31,879
Speaker 2: chat GPT, remember this thing needs the internet. These do

528
00:23:32,000 --> 00:23:35,200
Speaker 2: not have on device models, which means that your cane

529
00:23:35,280 --> 00:23:38,160
Speaker 2: is just like not telling you where things are. Every

530
00:23:38,200 --> 00:23:40,280
Speaker 2: time I try and avoid the diplope be open.

531
00:23:40,560 --> 00:23:42,800
Speaker 5: So this is going to probably piss you off. But

532
00:23:43,280 --> 00:23:47,600
Speaker 5: they have two different kind of models. So one is

533
00:23:47,640 --> 00:23:51,200
Speaker 5: that you it's a subscription for the chat GPT functionality.

534
00:23:51,280 --> 00:23:53,119
Speaker 2: Yeah that's the good stuff.

535
00:23:53,320 --> 00:23:56,119
Speaker 5: Yeah that's or you can buy the more expensive one

536
00:23:56,160 --> 00:23:56,720
Speaker 5: which comes with.

537
00:23:56,800 --> 00:24:00,399
Speaker 2: It for the lifetime subscription. See I think is that

538
00:24:00,480 --> 00:24:02,480
Speaker 2: stuff does actually cost money, so they do have to

539
00:24:02,520 --> 00:24:05,440
Speaker 2: do something. But it's also like, oh man, granddad, sorry,

540
00:24:06,480 --> 00:24:08,600
Speaker 2: life's being rough right now. Can't afford the cane. You're

541
00:24:08,600 --> 00:24:10,480
Speaker 2: just gonna have to work out for yourself. You're gonna

542
00:24:10,480 --> 00:24:12,680
Speaker 2: have to turn the subscription off. Yes, sorry, grand dad.

543
00:24:12,720 --> 00:24:14,600
Speaker 2: We don't have the pro subscription. It's only going to

544
00:24:14,640 --> 00:24:17,159
Speaker 2: tell you some objects, although again it does have we

545
00:24:17,200 --> 00:24:18,320
Speaker 2: don't wave for the car out on.

546
00:24:18,400 --> 00:24:19,959
Speaker 1: If you turn the subscription off, it's like, well, your

547
00:24:20,000 --> 00:24:21,879
Speaker 1: cane's going to be a lot quieter this month. It's

548
00:24:21,920 --> 00:24:24,240
Speaker 1: not like it's going to turn into like an oblong

549
00:24:24,320 --> 00:24:26,399
Speaker 1: cylinder of plastic, which it was before, and now it's

550
00:24:26,440 --> 00:24:27,240
Speaker 1: just not going to talk to you.

551
00:24:27,800 --> 00:24:32,080
Speaker 2: Give them a year that make the subscription. They make it,

552
00:24:32,240 --> 00:24:33,720
Speaker 2: they might get load bearing, I guess.

553
00:24:33,920 --> 00:24:35,879
Speaker 1: Yeah, the subscription stuff is really sinister to me.

554
00:24:35,960 --> 00:24:42,640
Speaker 2: It's everything now. So Sean, you, how do you feel

555
00:24:42,640 --> 00:24:45,040
Speaker 2: about Delta though? What ad Dela do differently what it

556
00:24:45,160 --> 00:24:47,280
Speaker 2: was the Delta thing? We're talking about useful companies. I

557
00:24:47,320 --> 00:24:51,000
Speaker 2: assume Delta wouldn't buy the sphere out to just shovel

558
00:24:51,000 --> 00:24:54,280
Speaker 2: a bunch of operating system stuff, right, No, it's pretty

559
00:24:54,359 --> 00:24:57,400
Speaker 2: much a lot of that. Oh it really.

560
00:24:57,600 --> 00:25:00,680
Speaker 3: I mean, like I said, it was the the build

561
00:25:00,800 --> 00:25:02,960
Speaker 3: up that Ed Bashian did at the beginning of like

562
00:25:03,840 --> 00:25:06,800
Speaker 3: this is the next one hundred years, and it was

563
00:25:07,240 --> 00:25:08,120
Speaker 3: it almost made.

564
00:25:07,960 --> 00:25:11,119
Speaker 2: Me want there to be more bullshit, like insane stuff.

565
00:25:11,280 --> 00:25:12,919
Speaker 3: Yeah, and it's weird because, like I haven't been here

566
00:25:12,960 --> 00:25:14,480
Speaker 3: since twenty twenty and they were a big part of

567
00:25:14,560 --> 00:25:17,120
Speaker 3: twenty twenty show. I feel like I saw more from

568
00:25:17,200 --> 00:25:20,119
Speaker 3: them then because at that point they were still working on,

569
00:25:21,760 --> 00:25:24,119
Speaker 3: you know, adding a bunch more features to the screen.

570
00:25:24,400 --> 00:25:29,120
Speaker 3: Experience in like you know, in the seatback experience, they

571
00:25:29,200 --> 00:25:32,320
Speaker 3: were working on this thing, you know, sort of a

572
00:25:32,359 --> 00:25:35,040
Speaker 3: privacy nightmare kind of thing, but an idea at least

573
00:25:35,240 --> 00:25:38,400
Speaker 3: that was interesting to think about of like a screen

574
00:25:38,640 --> 00:25:43,560
Speaker 3: when you go into the terminal that it has. There

575
00:25:43,600 --> 00:25:45,720
Speaker 3: have been these kind of TVs at ces in the

576
00:25:45,760 --> 00:25:48,920
Speaker 3: past where you'll have sort of a screen display that

577
00:25:49,000 --> 00:25:51,560
Speaker 3: can split what it's showing you depending on where you're

578
00:25:51,560 --> 00:25:54,000
Speaker 3: looking at it from, so theoretically multiple people could see

579
00:25:54,040 --> 00:25:55,600
Speaker 3: multiple different things on the same screen.

580
00:25:56,080 --> 00:25:57,560
Speaker 2: They pair that with facial recognition.

581
00:25:57,720 --> 00:26:00,920
Speaker 3: You would theoretically walk into the terminal, You and I

582
00:26:00,960 --> 00:26:02,600
Speaker 3: could stand next to each other, we could each get

583
00:26:02,600 --> 00:26:05,159
Speaker 3: personal information about our flights and where we're going and

584
00:26:05,200 --> 00:26:07,720
Speaker 3: all that kind of stuff. At least that was like

585
00:26:08,080 --> 00:26:12,600
Speaker 3: we're working on this tech and seeing this year it

586
00:26:12,680 --> 00:26:15,240
Speaker 3: was it was very like, you know, it's all of

587
00:26:15,320 --> 00:26:18,879
Speaker 3: course about generative AI, and it really was just a

588
00:26:19,000 --> 00:26:21,920
Speaker 3: really weak showing of what they think that can do

589
00:26:22,119 --> 00:26:26,600
Speaker 3: because the experience they showed off and yet it's it's like.

590
00:26:28,359 --> 00:26:29,520
Speaker 2: It's some of that same stuff.

591
00:26:29,520 --> 00:26:31,480
Speaker 3: It's really the best way I can desgard, But is

592
00:26:31,560 --> 00:26:33,440
Speaker 3: it's treating these people who like a baby it's like,

593
00:26:33,480 --> 00:26:37,800
Speaker 3: assuming you are like a high class Delta sky Miles

594
00:26:37,880 --> 00:26:40,920
Speaker 3: person and you can't be bothered to get to the

595
00:26:40,960 --> 00:26:44,360
Speaker 3: airport on time, you can't be bothered to you can't

596
00:26:44,400 --> 00:26:47,480
Speaker 3: be bothered to. It was like it'll tell you which

597
00:26:47,560 --> 00:26:50,400
Speaker 3: gate is, which gate your flight is at, and where

598
00:26:50,880 --> 00:26:52,760
Speaker 3: that is, as if you can't look at the gate

599
00:26:52,880 --> 00:26:55,159
Speaker 3: number and like count down, you know, like when you

600
00:26:55,359 --> 00:26:56,919
Speaker 3: the airports are built pretty.

601
00:26:56,680 --> 00:26:59,200
Speaker 2: Well, find out where my flight is.

602
00:26:59,320 --> 00:27:01,760
Speaker 3: Yeah, like I know, I make gate seventeen. I see

603
00:27:01,880 --> 00:27:04,680
Speaker 3: gate three. Oh, look the numbers go to seventeen. That way,

604
00:27:04,720 --> 00:27:07,200
Speaker 3: I really do not need Generative AI to tell me that.

605
00:27:07,840 --> 00:27:11,479
Speaker 3: And it was just, you know, the other weird thing

606
00:27:11,520 --> 00:27:14,880
Speaker 3: about it was they're clearly trying to, like so many

607
00:27:15,359 --> 00:27:20,600
Speaker 3: tech companies, subsume all of your experience into Delta, So

608
00:27:20,760 --> 00:27:23,920
Speaker 3: it's like you'll be flying there and then you'll be

609
00:27:23,960 --> 00:27:27,639
Speaker 3: able to plan out your trip while you're in mid

610
00:27:27,720 --> 00:27:31,000
Speaker 3: air on your screen and Delta will help you book

611
00:27:31,040 --> 00:27:34,280
Speaker 3: your reservations at all of these places. And it's just

612
00:27:34,400 --> 00:27:36,919
Speaker 3: like there's no room in the vision that they're painting

613
00:27:37,480 --> 00:27:40,480
Speaker 3: for you to have any part of your experience outside

614
00:27:40,520 --> 00:27:41,200
Speaker 3: of the Delta.

615
00:27:41,560 --> 00:27:44,800
Speaker 2: So none of this seems to make the flight beta no,

616
00:27:45,040 --> 00:27:46,919
Speaker 2: and that's I mean, that's the thing that really bums

617
00:27:46,960 --> 00:27:47,200
Speaker 2: me out.

618
00:27:48,119 --> 00:27:50,160
Speaker 3: Has bummed me out a lot about CES this year,

619
00:27:50,520 --> 00:27:52,800
Speaker 3: not just a delta, but for so much of it,

620
00:27:52,960 --> 00:27:55,840
Speaker 3: Like nothing is about making a lot of the little

621
00:27:55,840 --> 00:27:56,440
Speaker 3: stuff better.

622
00:27:56,680 --> 00:27:58,240
Speaker 2: Yeah, even the convention itself.

623
00:27:58,400 --> 00:28:00,800
Speaker 3: Like it's just there's so much about being here, like

624
00:28:00,920 --> 00:28:03,200
Speaker 3: the Vegas is built up all of this extra stuff

625
00:28:03,200 --> 00:28:04,919
Speaker 3: to makes it, yes, even bigger. There's this whole new

626
00:28:04,960 --> 00:28:06,720
Speaker 3: hall that wasn't here when I was here five years ago,

627
00:28:07,800 --> 00:28:10,639
Speaker 3: and it's still not enough to like contain the people.

628
00:28:10,840 --> 00:28:12,840
Speaker 3: Like I went to get lunch today at like a

629
00:28:12,920 --> 00:28:16,520
Speaker 3: relatively off peak lunch time. Yeah, there's not enough seats

630
00:28:16,560 --> 00:28:18,920
Speaker 3: for people Like I'm going to sit at this one

631
00:28:19,400 --> 00:28:21,440
Speaker 3: counter that I see available, and then I'm told that

632
00:28:21,480 --> 00:28:23,240
Speaker 3: it's part of some sort of display that I can't

633
00:28:23,280 --> 00:28:25,480
Speaker 3: sit at because I don't belong to those people. So

634
00:28:25,560 --> 00:28:27,600
Speaker 3: it's like it's like, Okay, I'm gonna go sit on

635
00:28:27,680 --> 00:28:29,639
Speaker 3: the floor, which like I've done plenty of times in

636
00:28:29,680 --> 00:28:31,520
Speaker 3: the many years I've come here, and like eat my lunch.

637
00:28:31,880 --> 00:28:34,560
Speaker 3: But it's just like no one's working on any solution

638
00:28:34,800 --> 00:28:37,920
Speaker 3: for the dumb stuff like that or even the weird

639
00:28:38,000 --> 00:28:40,680
Speaker 3: thing is like not even using that as an opportunity

640
00:28:40,880 --> 00:28:44,480
Speaker 3: to present some of the technologies that are being promised,

641
00:28:44,600 --> 00:28:46,600
Speaker 3: is like, oh, wouldn't it be. It's just like it's

642
00:28:46,640 --> 00:28:51,280
Speaker 3: the most pedestrian mall ass experience like here, and it's

643
00:28:51,360 --> 00:28:53,480
Speaker 3: just you know, you can just feel how no one's heart,

644
00:28:53,560 --> 00:28:53,840
Speaker 3: isn't it.

645
00:28:54,000 --> 00:28:55,360
Speaker 1: That's what I was thinking about when you were talking

646
00:28:55,400 --> 00:28:58,160
Speaker 1: about the idea of like the full you know, stem

647
00:28:58,280 --> 00:29:01,320
Speaker 1: to stern delta travel experience, is that like I flew

648
00:29:01,400 --> 00:29:03,560
Speaker 1: Delta out here. I had a perfectly fine flight, but

649
00:29:03,720 --> 00:29:06,640
Speaker 1: like you're still going through an airport, Like it's still

650
00:29:06,680 --> 00:29:08,080
Speaker 1: the sort of thing where it's like I was at

651
00:29:08,240 --> 00:29:10,800
Speaker 1: JFK on a security line that took forty five minutes

652
00:29:10,840 --> 00:29:13,560
Speaker 1: to get me through, and so there's, you know, some

653
00:29:13,680 --> 00:29:15,560
Speaker 1: of that's my faults. I don't I'm pre or whatever,

654
00:29:15,760 --> 00:29:17,880
Speaker 1: I'm not rich enough to have whatever the I mean,

655
00:29:18,040 --> 00:29:19,960
Speaker 1: like Tom Brady does not have to go through security

656
00:29:20,640 --> 00:29:23,240
Speaker 1: at least flying private, or if he just you know,

657
00:29:23,440 --> 00:29:26,840
Speaker 1: signs the football for somebody and like gets sent through.

658
00:29:27,360 --> 00:29:30,320
Speaker 1: But in all those instances, it's like these sort of

659
00:29:31,080 --> 00:29:34,360
Speaker 1: weird pie in the sky solutions to things that do

660
00:29:34,480 --> 00:29:36,640
Speaker 1: not necessarily scan to me as problems, like things that

661
00:29:36,720 --> 00:29:41,320
Speaker 1: are basically like minor activations of agency, like looking up

662
00:29:41,360 --> 00:29:43,280
Speaker 1: at the board and like finding the number of my

663
00:29:43,400 --> 00:29:45,760
Speaker 1: flight and then being like what gait is it? Like

664
00:29:45,960 --> 00:29:49,160
Speaker 1: I don't necessarily need that solved. If you could find

665
00:29:49,160 --> 00:29:51,480
Speaker 1: a way to make it less unpleasant to get to

666
00:29:51,960 --> 00:29:54,920
Speaker 1: or go through JFK, like that would be sick and

667
00:29:55,040 --> 00:29:56,920
Speaker 1: yet like that's harder. This is the thing we keep

668
00:29:56,960 --> 00:29:58,720
Speaker 1: coming back to in these conversations, is that like that's

669
00:29:58,960 --> 00:30:02,640
Speaker 1: a systemic, like structural that would require like state level action,

670
00:30:03,160 --> 00:30:05,040
Speaker 1: whereas here they're sort of like, with the power of

671
00:30:05,160 --> 00:30:08,040
Speaker 1: generative AI, you are going to be able to read

672
00:30:08,120 --> 00:30:13,720
Speaker 1: words on a screen. I'll fly through their leave you

673
00:30:13,760 --> 00:30:14,200
Speaker 1: the gentleman.

674
00:30:14,400 --> 00:30:17,200
Speaker 2: Enough about mister Kravitz. We have to finish up the episode, Sean,

675
00:30:17,240 --> 00:30:19,640
Speaker 2: where can people find you? Well, this block of the episode,

676
00:30:19,640 --> 00:30:21,920
Speaker 2: I mean where can people find you? I'm on blue

677
00:30:21,960 --> 00:30:24,560
Speaker 2: Sky that's the best place. Okay. Do you want to

678
00:30:24,560 --> 00:30:28,200
Speaker 2: say where Sean o'can do? BEISKI? How do you say that?

679
00:30:28,400 --> 00:30:31,840
Speaker 2: I don't know, Nan, and you'll find me. Okay, where

680
00:30:31,840 --> 00:30:34,120
Speaker 2: do you work? I work at Techne for a year

681
00:30:34,120 --> 00:30:36,760
Speaker 2: it's amazing, lovely Chrissa. Where can people find you?

682
00:30:37,440 --> 00:30:40,200
Speaker 5: They can find me on Blue Sky, still on threads

683
00:30:40,200 --> 00:30:44,120
Speaker 5: for now, Carissa b on both of them, and and

684
00:30:44,240 --> 00:30:45,240
Speaker 5: Gatget wonderful.

685
00:30:45,640 --> 00:30:49,640
Speaker 1: David Defector dot com is the website and the distractions

686
00:30:49,680 --> 00:30:50,480
Speaker 1: the podcast.

687
00:30:50,160 --> 00:30:52,240
Speaker 2: I do for them. You can find me off to

688
00:30:52,280 --> 00:30:55,120
Speaker 2: the ad break listen download by it. It's been like

689
00:30:55,280 --> 00:30:57,680
Speaker 2: hours of this stuff. Now I'm not giving you anything special,

690
00:31:09,320 --> 00:31:11,760
Speaker 2: and we're back. We've got Sean Okine, of course from

691
00:31:12,040 --> 00:31:15,080
Speaker 2: tech Crunch. We've got Carrissa Bell from Engadget, and David J.

692
00:31:15,280 --> 00:31:18,920
Speaker 2: Roth of Defacta and we're CHRISA said something very important

693
00:31:19,080 --> 00:31:22,120
Speaker 2: just before we broke, and that is that Faraday Future here,

694
00:31:22,640 --> 00:31:26,320
Speaker 2: my favorite not quite car company. They love to be

695
00:31:26,440 --> 00:31:29,960
Speaker 2: on fire, don't they, folks. So what did you hear?

696
00:31:30,400 --> 00:31:32,040
Speaker 2: Faraday Future? I must hear.

697
00:31:32,680 --> 00:31:35,080
Speaker 5: So they were here pitching their their latest kind of

698
00:31:36,520 --> 00:31:39,560
Speaker 5: pivot strategy shift whatever you want to call it, okay,

699
00:31:40,040 --> 00:31:44,840
Speaker 5: which is fx A new a new subsidiary of Faraday

700
00:31:44,880 --> 00:31:48,680
Speaker 5: Future that will sell cheap evs and their plan is

701
00:31:48,720 --> 00:31:53,640
Speaker 5: to source parts from China, bring them here, make them

702
00:31:53,680 --> 00:31:56,240
Speaker 5: look nice on the inside, and sell them for probably

703
00:31:56,680 --> 00:31:58,760
Speaker 5: like between twenty to fifty thousand dollars.

704
00:31:59,280 --> 00:32:01,960
Speaker 2: So perhaps you can give some history about how well

705
00:32:02,120 --> 00:32:04,000
Speaker 2: Faraday Future is done selling cars.

706
00:32:04,080 --> 00:32:05,760
Speaker 1: Yeah, all of you guys are making faces that I'm

707
00:32:05,880 --> 00:32:06,240
Speaker 1: hearing that.

708
00:32:08,240 --> 00:32:10,719
Speaker 2: Illuminate how great they are.

709
00:32:10,880 --> 00:32:15,320
Speaker 5: They have to date have sold fifteen or sixteen f

710
00:32:15,440 --> 00:32:18,240
Speaker 5: F nine one, which I believe thou fifteen or six

711
00:32:18,400 --> 00:32:22,360
Speaker 5: Now fifteen or sixteen six that's more manageable. So good

712
00:32:23,480 --> 00:32:26,080
Speaker 5: of the only car that they've ever managed to actually sell,

713
00:32:26,200 --> 00:32:29,479
Speaker 5: that f F nine one. Yeah, they're making about one

714
00:32:29,480 --> 00:32:30,000
Speaker 5: a month, is what?

715
00:32:31,400 --> 00:32:32,640
Speaker 2: And if I sell, you mean.

716
00:32:34,360 --> 00:32:36,760
Speaker 3: Essentially leased to these people and in some in some

717
00:32:36,920 --> 00:32:39,959
Speaker 3: cases actually strike contracts with them that basically reaburse them

718
00:32:40,000 --> 00:32:41,240
Speaker 3: for the cost of the sale.

719
00:32:40,960 --> 00:32:43,440
Speaker 2: Of the car. How long has this company been around

720
00:32:43,760 --> 00:32:47,640
Speaker 2: twenty fourteen? That's so good. You're eleven years old.

721
00:32:47,720 --> 00:32:50,360
Speaker 1: Do they advertise themselves as a small batch automotive?

722
00:32:51,200 --> 00:32:54,280
Speaker 2: No, they should asset light. Yeah. So the new plan

723
00:32:54,440 --> 00:32:55,800
Speaker 2: is to sell a cheapest, shitty a.

724
00:32:55,880 --> 00:33:00,080
Speaker 5: Car, a cheaper minivan specifically.

725
00:33:00,680 --> 00:33:05,440
Speaker 2: Right, so a smaller total addressable market this company.

726
00:33:06,280 --> 00:33:08,880
Speaker 3: Listen, I actually don't they. We were just talking about Mike.

727
00:33:08,960 --> 00:33:11,000
Speaker 3: They refused to let me come see it because they

728
00:33:11,000 --> 00:33:11,600
Speaker 3: didn't answer.

729
00:33:11,440 --> 00:33:15,200
Speaker 2: Me a manu forrid like seven different very aggressive stories

730
00:33:15,240 --> 00:33:15,680
Speaker 2: about them.

731
00:33:15,800 --> 00:33:17,960
Speaker 3: I don't know what they well, yeah, we don't have

732
00:33:18,040 --> 00:33:20,960
Speaker 3: time for all that. But my assumption is this van

733
00:33:21,280 --> 00:33:23,720
Speaker 3: is a thing that when they did still have some money,

734
00:33:23,840 --> 00:33:25,560
Speaker 3: because they don't really have a lot of money right now,

735
00:33:25,880 --> 00:33:27,560
Speaker 3: but when they did have some money, they're one of

736
00:33:27,640 --> 00:33:31,120
Speaker 3: their plans was to make this type of vehicle in China.

737
00:33:31,280 --> 00:33:34,480
Speaker 3: So my assumption would be that this is one of

738
00:33:34,560 --> 00:33:36,840
Speaker 3: the prototypes that they developed back then that's just been

739
00:33:36,920 --> 00:33:40,160
Speaker 3: sitting in China collecting dust, and now they've been able

740
00:33:40,200 --> 00:33:41,800
Speaker 3: to put some new veneer on it. The problem with

741
00:33:41,880 --> 00:33:45,600
Speaker 3: this company is they well, a problem with this company

742
00:33:45,680 --> 00:33:48,720
Speaker 3: is that they need money because they've run out of

743
00:33:49,040 --> 00:33:52,400
Speaker 3: the money from the founder. The founder basically created what

744
00:33:52,600 --> 00:33:55,040
Speaker 3: was at one point sort of like a combination of

745
00:33:55,160 --> 00:33:57,920
Speaker 3: Netflix and Apple and China. It had grown to like

746
00:33:58,080 --> 00:34:01,240
Speaker 3: ten billion or more invaluation, and then it ultimately crashed

747
00:34:01,240 --> 00:34:04,720
Speaker 3: because he just over leveraged everything. I believe the term

748
00:34:04,800 --> 00:34:06,400
Speaker 3: that the New York Times used at one point was

749
00:34:06,560 --> 00:34:09,800
Speaker 3: debt bombs, and those debt bombs started going off, and

750
00:34:09,920 --> 00:34:13,200
Speaker 3: he exiled himself to the US in twenty seventeen and

751
00:34:13,280 --> 00:34:15,400
Speaker 3: has been here ever since, running the company. But the

752
00:34:15,480 --> 00:34:18,319
Speaker 3: point is they don't have any money left, and they've

753
00:34:18,360 --> 00:34:20,799
Speaker 3: been trying to raise it from people related to him

754
00:34:21,040 --> 00:34:24,840
Speaker 3: and close to his orbit, and so the idea of

755
00:34:25,400 --> 00:34:27,600
Speaker 3: selling a two hundred thousand dollars car to people that

756
00:34:27,960 --> 00:34:30,360
Speaker 3: clearly don't really necessarily want to buy it.

757
00:34:30,400 --> 00:34:32,920
Speaker 2: At scale is unpalatable.

758
00:34:33,000 --> 00:34:35,440
Speaker 3: So they are going after this idea of making a

759
00:34:35,480 --> 00:34:37,760
Speaker 3: low cost card because they think it's a more investable business.

760
00:34:38,080 --> 00:34:41,080
Speaker 2: Carrissa, when we say lower cost, I didn't realize it

761
00:34:41,200 --> 00:34:42,960
Speaker 2: was two hundred thousand dollars fed.

762
00:34:43,560 --> 00:34:45,960
Speaker 3: That's the regular is. I mean, I think it's a

763
00:34:46,000 --> 00:34:49,120
Speaker 3: sliding scale. To be fair to them, exist and you

764
00:34:49,120 --> 00:34:50,080
Speaker 3: won't never existing.

765
00:34:50,239 --> 00:34:51,680
Speaker 2: I won't hear me say this often. To be fair

766
00:34:51,719 --> 00:34:51,960
Speaker 2: to them.

767
00:34:52,280 --> 00:34:55,080
Speaker 3: The goal with that one was to always compete with

768
00:34:55,280 --> 00:34:57,680
Speaker 3: like the Maybacks and Bugattis of the world.

769
00:34:58,440 --> 00:35:01,799
Speaker 2: So it's not like extremely well engineered caused the well

770
00:35:01,840 --> 00:35:04,320
Speaker 2: known for the design and their execution on set design.

771
00:35:04,440 --> 00:35:08,760
Speaker 2: Eventually yeah, well, eventually it's kind of the whole Faraday

772
00:35:08,800 --> 00:35:11,680
Speaker 2: Future yeah thing. Yeah. So how much is the vent,

773
00:35:11,920 --> 00:35:13,840
Speaker 2: like the cheap van that they're.

774
00:35:13,640 --> 00:35:18,719
Speaker 5: Doing unclear, Probably around fifty thousand dollars based on what

775
00:35:18,920 --> 00:35:21,960
Speaker 5: they said. I'll just see the prototypes we saw. You

776
00:35:22,000 --> 00:35:23,960
Speaker 5: said that maybe these have been sitting around for them.

777
00:35:24,040 --> 00:35:25,759
Speaker 5: Maybe that's true that these were rough.

778
00:35:26,480 --> 00:35:28,000
Speaker 2: I mean I believe that to define.

779
00:35:28,440 --> 00:35:31,880
Speaker 5: So there was two different ones. One had sort of

780
00:35:32,520 --> 00:35:35,120
Speaker 5: the morphinished interior where they were trying to show off,

781
00:35:35,200 --> 00:35:36,560
Speaker 5: you know how they were kind of going to make

782
00:35:36,600 --> 00:35:39,640
Speaker 5: a minivan but you know for grown ups and fancy. Right,

783
00:35:40,120 --> 00:35:44,879
Speaker 5: had no door handles. Okay, Our friend John said, of course,

784
00:35:45,040 --> 00:35:47,120
Speaker 5: of course it will have door handles the real one,

785
00:35:47,960 --> 00:35:49,320
Speaker 5: which is always great when they have to tell you.

786
00:35:49,320 --> 00:35:50,600
Speaker 1: You know.

787
00:35:50,640 --> 00:35:52,920
Speaker 5: So I had some you know, white leather captain seats

788
00:35:52,960 --> 00:35:55,120
Speaker 5: that had you know, massage functions, and you know it

789
00:35:55,200 --> 00:35:57,360
Speaker 5: was it was okay, no door handles, no door handles,

790
00:35:58,440 --> 00:35:59,560
Speaker 5: completely like wrapped in that.

791
00:36:00,360 --> 00:36:02,840
Speaker 2: Did they have to like airlift you into from the

792
00:36:02,880 --> 00:36:03,800
Speaker 2: top or how did you get in?

793
00:36:05,040 --> 00:36:08,600
Speaker 5: I mean the doors opened, they just didn't have they

794
00:36:08,840 --> 00:36:11,920
Speaker 5: don't clear how. Yeah, and then there was the one

795
00:36:12,000 --> 00:36:16,600
Speaker 5: that we could actually ride in, which was just covered

796
00:36:16,640 --> 00:36:19,000
Speaker 5: in fabric that was held together by binder clips, like

797
00:36:19,080 --> 00:36:24,040
Speaker 5: the entire interior literally binder clips. Show They said it

798
00:36:24,160 --> 00:36:27,560
Speaker 5: was a plug in hybrid I got to drive it

799
00:36:27,600 --> 00:36:29,120
Speaker 5: around it. Honestly, it could have been a toyo to

800
00:36:29,160 --> 00:36:30,600
Speaker 5: Sienna covered in fabric for all.

801
00:36:30,480 --> 00:36:33,840
Speaker 2: I know, Like it did it feel like an electric vehicle?

802
00:36:34,040 --> 00:36:36,920
Speaker 5: Like I mean it felt like yeah kind of.

803
00:36:38,080 --> 00:36:40,960
Speaker 2: Yeah. I just loved the idea that they would this

804
00:36:41,080 --> 00:36:43,640
Speaker 2: company sounds like they would actually do the toyo to

805
00:36:43,719 --> 00:36:44,400
Speaker 2: see anything.

806
00:36:44,600 --> 00:36:49,480
Speaker 5: So yeah, I mean, I don't know, I'm not embarrassing,

807
00:36:51,320 --> 00:36:53,960
Speaker 5: but it could have though been for like especially I'm

808
00:36:54,000 --> 00:36:55,880
Speaker 5: not an automotive journal so it was very funny to

809
00:36:55,960 --> 00:36:59,520
Speaker 5: me that they invited me to do this. Max did

810
00:36:59,600 --> 00:37:02,480
Speaker 5: tell me I was the first lady to drive that

811
00:37:02,560 --> 00:37:03,480
Speaker 5: particular vehicle, so.

812
00:37:03,480 --> 00:37:07,600
Speaker 1: That's an amazing honor. Yeah, thanks for knowing that, like

813
00:37:08,239 --> 00:37:11,520
Speaker 1: really doing the like not having door handles thing is incredible.

814
00:37:11,560 --> 00:37:13,719
Speaker 1: Like again, from being completely outside of this story, like

815
00:37:13,880 --> 00:37:16,760
Speaker 1: this company rocks to me, like everything that you've described

816
00:37:16,760 --> 00:37:18,680
Speaker 1: where they're just sort of like and this one it's

817
00:37:18,719 --> 00:37:20,800
Speaker 1: like got a tarp on the inside of it, like

818
00:37:20,880 --> 00:37:23,520
Speaker 1: you're just getting into whatever Kurt Russell's car from Death

819
00:37:23,600 --> 00:37:25,040
Speaker 1: Proof to be like just take it for a spin,

820
00:37:25,080 --> 00:37:28,520
Speaker 1: take it around a lot, like temp wild thing. Why

821
00:37:28,560 --> 00:37:31,160
Speaker 1: would you want somebody to drive a car that looks

822
00:37:31,200 --> 00:37:32,360
Speaker 1: that messed up on the inside.

823
00:37:32,440 --> 00:37:34,200
Speaker 5: I mean, maybe Sean can speak to this, like you

824
00:37:34,280 --> 00:37:37,600
Speaker 5: don't expect a prototype vehicle to necessarly be finished and

825
00:37:37,719 --> 00:37:39,160
Speaker 5: have held together.

826
00:37:39,480 --> 00:37:40,200
Speaker 2: Find Eclipse.

827
00:37:40,440 --> 00:37:42,239
Speaker 5: But what was also telling to me was that the

828
00:37:42,320 --> 00:37:46,040
Speaker 5: one press image they gave us was so low rests

829
00:37:46,360 --> 00:37:48,600
Speaker 5: and it showed them it was like these two vans

830
00:37:48,760 --> 00:37:51,320
Speaker 5: like in a field, like at a great distance.

831
00:37:51,920 --> 00:37:55,080
Speaker 3: And also the vans are covered in like camouflage like wrap,

832
00:37:55,520 --> 00:37:58,440
Speaker 3: but which is you know that's a traditional automotive thing,

833
00:37:58,480 --> 00:37:59,080
Speaker 3: but set.

834
00:37:58,960 --> 00:37:59,600
Speaker 2: In this field.

835
00:37:59,640 --> 00:38:02,160
Speaker 3: Because I saw this image earlier today, it just looks

836
00:38:02,239 --> 00:38:05,600
Speaker 3: like cow cars because it's like, you know, blocky black

837
00:38:05,640 --> 00:38:08,240
Speaker 3: and white, but in the field, in this weird setting

838
00:38:08,239 --> 00:38:10,040
Speaker 3: that you don't normally see like a prototype car.

839
00:38:10,120 --> 00:38:12,719
Speaker 2: And it was like my brain just like cows just.

840
00:38:12,760 --> 00:38:14,680
Speaker 1: Love the idea of being just like a deep fried

841
00:38:14,800 --> 00:38:18,560
Speaker 1: jpeg like five K sending that up to the depressed

842
00:38:18,600 --> 00:38:20,600
Speaker 1: mean like, so don't you could use this as like

843
00:38:20,680 --> 00:38:22,719
Speaker 1: your avatar on social media. Do not put it on

844
00:38:22,800 --> 00:38:23,280
Speaker 1: your website.

845
00:38:23,400 --> 00:38:24,719
Speaker 2: This will not render on blue.

846
00:38:24,840 --> 00:38:25,880
Speaker 1: It's got to be pointless.

847
00:38:26,280 --> 00:38:28,880
Speaker 3: Tell you like again, to be fair to them, they

848
00:38:28,960 --> 00:38:32,640
Speaker 3: do not have many employees left it's basically most of

849
00:38:32,680 --> 00:38:35,359
Speaker 3: the people who are here on different types of work,

850
00:38:35,440 --> 00:38:36,919
Speaker 3: vices that staff the company.

851
00:38:36,920 --> 00:38:39,719
Speaker 2: Everybody purloughed or laid off pretty much.

852
00:38:39,760 --> 00:38:41,400
Speaker 1: Is there like an end gameless? The idea there that

853
00:38:41,560 --> 00:38:44,640
Speaker 1: like whatever technology they have would be purchased by some

854
00:38:44,760 --> 00:38:46,800
Speaker 1: other company. Is there like or what happens?

855
00:38:47,320 --> 00:38:50,279
Speaker 3: I think the founder is singular in his vision of

856
00:38:50,360 --> 00:38:53,000
Speaker 3: wanting to say that. I mean, from what I've heard,

857
00:38:53,080 --> 00:38:55,319
Speaker 3: from the conversations I've had with people who have worked

858
00:38:55,320 --> 00:38:58,840
Speaker 3: at this company over many years, this this man is

859
00:39:00,040 --> 00:39:01,440
Speaker 3: I'll say two things and then I'll try not to

860
00:39:01,480 --> 00:39:04,640
Speaker 3: go too long on it. One is that he since

861
00:39:04,680 --> 00:39:08,520
Speaker 3: he self exiled himself from China to hear, the thinking is,

862
00:39:08,840 --> 00:39:11,279
Speaker 3: he wants to build up a successful business that would

863
00:39:11,640 --> 00:39:13,920
Speaker 3: let him go back into China without just being snatched

864
00:39:13,960 --> 00:39:17,480
Speaker 3: and thrown into avoid upon landing because that's like he

865
00:39:17,600 --> 00:39:20,000
Speaker 3: was put on a debtor blacklist. He is is kind

866
00:39:20,040 --> 00:39:22,800
Speaker 3: of I mean, he he left the company with like

867
00:39:22,880 --> 00:39:24,680
Speaker 3: billions of dollars owed by himself.

868
00:39:24,760 --> 00:39:27,520
Speaker 2: One of the consequences of a debt to blacklist you

869
00:39:28,080 --> 00:39:31,239
Speaker 2: could just probably be disappeared by the state. So can

870
00:39:31,280 --> 00:39:33,560
Speaker 2: you not leave China? Is that one of it on paper.

871
00:39:33,840 --> 00:39:36,279
Speaker 3: The limitations are like you can't buy train tickets, or

872
00:39:36,320 --> 00:39:38,719
Speaker 3: you can't you know, like you have like actual economic

873
00:39:39,040 --> 00:39:41,600
Speaker 3: restrictions placed some of your assets or frozen and things

874
00:39:41,680 --> 00:39:44,520
Speaker 3: like that. But like the realistic thing, given the scale

875
00:39:44,719 --> 00:39:47,279
Speaker 3: of the collapse of his business there is that he

876
00:39:47,320 --> 00:39:50,640
Speaker 3: would probably be you know, hidden in.

877
00:39:50,680 --> 00:39:53,600
Speaker 2: A corner somewhere, right, Yeah, in a place. But having

878
00:39:53,640 --> 00:39:56,000
Speaker 2: lots of money would allow him to avoid that. I think.

879
00:39:56,160 --> 00:39:58,400
Speaker 3: I think in his mind he thinks that if I mean,

880
00:39:58,440 --> 00:40:01,840
Speaker 3: he's he's it's too much to get into. But he

881
00:40:02,000 --> 00:40:04,880
Speaker 3: is a very specific person when it comes to believing

882
00:40:05,040 --> 00:40:08,239
Speaker 3: in the value of you know, sort of billionaire entrepreneurs.

883
00:40:08,560 --> 00:40:10,520
Speaker 2: So I think he thinks that that has enough cachet

884
00:40:10,600 --> 00:40:13,719
Speaker 2: that it will other than the having the billion, Yeah,

885
00:40:13,920 --> 00:40:18,680
Speaker 2: that seems to be the problem. Yeah, so I will

886
00:40:18,840 --> 00:40:21,719
Speaker 2: I will say this. I if I see a car,

887
00:40:21,880 --> 00:40:24,600
Speaker 2: I expect the bits to be on like the like

888
00:40:24,719 --> 00:40:27,400
Speaker 2: the like. I think I think that like that feels

889
00:40:27,480 --> 00:40:30,720
Speaker 2: like a reasonable thing. Did they react to the falling

890
00:40:30,800 --> 00:40:34,560
Speaker 2: apart this of this vehicle that allegedly would buy no,

891
00:40:34,920 --> 00:40:36,799
Speaker 2: I mean sick so good.

892
00:40:36,960 --> 00:40:38,960
Speaker 3: It's a fairly common thing to show up with a

893
00:40:39,040 --> 00:40:44,719
Speaker 3: prototype that's like seats half baked. It's ces We've seen

894
00:40:44,760 --> 00:40:47,520
Speaker 3: some weird stuff over the years, especially from these startups.

895
00:40:48,280 --> 00:40:51,800
Speaker 3: I think there's gradations of how complete it is or

896
00:40:51,800 --> 00:40:53,200
Speaker 3: how much polish you want to put on it. I

897
00:40:53,239 --> 00:40:56,359
Speaker 3: will say I think that this company's probably coming from

898
00:40:56,400 --> 00:40:59,640
Speaker 3: the experiences they've had with the more expensive car, which

899
00:40:59,719 --> 00:41:04,600
Speaker 3: is actually quite technologically accomplished four seven years ago when

900
00:41:04,640 --> 00:41:07,080
Speaker 3: they developed it, and they got away with a lot

901
00:41:07,280 --> 00:41:12,200
Speaker 3: of bad finish, you know, sort of rough edge demos

902
00:41:12,280 --> 00:41:16,120
Speaker 3: at cees in years prior, because people would forget about

903
00:41:16,120 --> 00:41:18,480
Speaker 3: that because they jam on the pedal on this thing

904
00:41:18,600 --> 00:41:20,719
Speaker 3: and it would I mean, it's fast as hell. Like

905
00:41:20,760 --> 00:41:23,840
Speaker 3: the more expensive car that they've built is like incredible

906
00:41:24,000 --> 00:41:28,800
Speaker 3: because or incredibly capable because they hired when he started

907
00:41:28,840 --> 00:41:31,879
Speaker 3: this company, they had all this money that he had

908
00:41:32,480 --> 00:41:35,840
Speaker 3: and they just overspent so much. I mean, so they

909
00:41:36,440 --> 00:41:39,440
Speaker 3: they went from being founded in twenty fourteen to fifteen

910
00:41:39,560 --> 00:41:42,520
Speaker 3: hundred people by twenty sixteen, and they did that by

911
00:41:42,560 --> 00:41:44,800
Speaker 3: basically paying fifty to one hundred percent more than the

912
00:41:44,880 --> 00:41:47,920
Speaker 3: going right for like every position inside the company. And

913
00:41:48,000 --> 00:41:50,440
Speaker 3: so they attracted all this talent from Tesla, Apple, all

914
00:41:50,480 --> 00:41:53,400
Speaker 3: these other companies but they were very secretive about what

915
00:41:53,520 --> 00:41:55,520
Speaker 3: they were doing because they're kind of trying to hide

916
00:41:55,520 --> 00:41:59,320
Speaker 3: who was backing it. And this combination of like secrecy

917
00:41:59,400 --> 00:42:02,479
Speaker 3: and obvious signs of money at one point had people

918
00:42:02,560 --> 00:42:05,200
Speaker 3: believing that this was a front for Apple's secretive project,

919
00:42:05,360 --> 00:42:08,239
Speaker 3: the car project. Yeah, and so like that's how like

920
00:42:08,360 --> 00:42:11,439
Speaker 3: crazy the mania was getting around, Like what that's scam.

921
00:42:11,960 --> 00:42:13,759
Speaker 3: But so the point of the reason I say that

922
00:42:13,880 --> 00:42:16,480
Speaker 3: is like when the people who developed to the car

923
00:42:16,880 --> 00:42:20,000
Speaker 3: included like the team that made the GM EV one,

924
00:42:20,000 --> 00:42:21,919
Speaker 3: which is like thought of as like the first real

925
00:42:22,320 --> 00:42:24,279
Speaker 3: mass market EV in the US, so like they had

926
00:42:24,360 --> 00:42:26,720
Speaker 3: like real engineering behind it. And when they were demoing

927
00:42:26,840 --> 00:42:29,719
Speaker 3: that car years ago here, people were like kind of

928
00:42:29,760 --> 00:42:31,040
Speaker 3: falling in love it because they were like, yeah, this

929
00:42:31,120 --> 00:42:33,359
Speaker 3: company is kind of crazy and like it doesn't really

930
00:42:33,400 --> 00:42:35,040
Speaker 3: look like they're anywhere near ready to build these things.

931
00:42:35,080 --> 00:42:36,920
Speaker 3: But these things are fast as hell and fun and

932
00:42:37,000 --> 00:42:39,520
Speaker 3: it's a fun experience and for a CEES experience like

933
00:42:39,880 --> 00:42:42,239
Speaker 3: that just doesn't involve getting attacked by robots in the

934
00:42:42,360 --> 00:42:44,920
Speaker 3: mood like, oh yeah, that was one of my better experiences.

935
00:42:45,080 --> 00:42:46,480
Speaker 3: You know, when I went zero to sixty in like

936
00:42:46,560 --> 00:42:47,200
Speaker 3: one second.

937
00:42:47,440 --> 00:42:49,840
Speaker 2: Do you not think that some of this is a

938
00:42:49,880 --> 00:42:53,799
Speaker 2: reflection of how the tech presses looked tech though, because sure,

939
00:42:54,320 --> 00:42:57,399
Speaker 2: because I feel like thanks to the way you law

940
00:42:57,480 --> 00:42:59,120
Speaker 2: musk was covered, there were a lot of companies that

941
00:42:59,320 --> 00:43:00,600
Speaker 2: kind of get away with this shit.

942
00:43:01,200 --> 00:43:02,840
Speaker 3: Well they've gotten away with it in the sense that

943
00:43:02,960 --> 00:43:04,560
Speaker 3: they were one of the companies that did one of

944
00:43:04,600 --> 00:43:07,520
Speaker 3: these spack mergers and raised another billion dollars. So just

945
00:43:07,600 --> 00:43:12,200
Speaker 3: define a s back merger for the listeners, a special

946
00:43:12,280 --> 00:43:15,840
Speaker 3: purpose acquisition company. There's kind of a long history of

947
00:43:15,960 --> 00:43:19,160
Speaker 3: reverse mergers like this on the public markets. But essentially,

948
00:43:20,320 --> 00:43:23,040
Speaker 3: if you are an investor or some sort of business type,

949
00:43:23,480 --> 00:43:25,840
Speaker 3: you could theoretically create a company that's just basically a

950
00:43:25,920 --> 00:43:29,560
Speaker 3: holding sell for cash that's publicly traded, and you can

951
00:43:29,640 --> 00:43:32,640
Speaker 3: basically like vaguely state your intentions for we want to

952
00:43:32,719 --> 00:43:35,960
Speaker 3: invest in this market or that market, and here's our

953
00:43:36,000 --> 00:43:38,279
Speaker 3: pot of money. We're going to go look for a

954
00:43:38,400 --> 00:43:41,919
Speaker 3: company in that space to acquire and take them public, Okay,

955
00:43:42,560 --> 00:43:46,120
Speaker 3: And so that you know, maybe there's merit to that

956
00:43:47,200 --> 00:43:51,640
Speaker 3: approach to things. But that whole process got really perverted

957
00:43:51,680 --> 00:43:54,279
Speaker 3: in like twenty twenty and twenty twenty one, where a

958
00:43:54,320 --> 00:43:57,280
Speaker 3: lot of different kinds of companies, but especially electric vehicle companies,

959
00:43:57,600 --> 00:44:00,400
Speaker 3: were getting taken public left and right, well before they

960
00:44:00,440 --> 00:44:01,880
Speaker 3: were ready to be a public company.

961
00:44:02,000 --> 00:44:04,080
Speaker 2: And Faraday Future doesn't sound like it should have ever

962
00:44:04,160 --> 00:44:06,759
Speaker 2: been taken out of the box. Well, I'll put it

963
00:44:06,800 --> 00:44:07,040
Speaker 2: this way.

964
00:44:07,080 --> 00:44:09,759
Speaker 3: They went public in twenty twenty one, and within four

965
00:44:09,840 --> 00:44:12,520
Speaker 3: to six months, their board of directors decided to launch

966
00:44:12,520 --> 00:44:15,120
Speaker 3: an internal investigation into the founder and the people around

967
00:44:15,200 --> 00:44:19,640
Speaker 3: him for basically more or less allegedly lying in the

968
00:44:19,800 --> 00:44:22,680
Speaker 3: paperwork that they filed to go public. And then eventually

969
00:44:22,760 --> 00:44:26,960
Speaker 3: the internal investigator investigation led to him being removed from

970
00:44:27,000 --> 00:44:29,399
Speaker 3: a particular role at the company, having people around him

971
00:44:29,400 --> 00:44:31,440
Speaker 3: pushed out of the company, and they referred it to

972
00:44:31,520 --> 00:44:34,200
Speaker 3: the SEC, which is still actually actively investigating the company.

973
00:44:34,719 --> 00:44:36,359
Speaker 1: So rough few years for this guys.

974
00:44:37,160 --> 00:44:39,480
Speaker 3: I mean, listen, he's here and not insl in China.

975
00:44:39,600 --> 00:44:42,880
Speaker 3: So he lives in a mansion, you know, in Rancho

976
00:44:42,920 --> 00:44:45,080
Speaker 3: Palas Verdes and in Los Angeles.

977
00:44:45,200 --> 00:44:51,120
Speaker 2: So he's done well for himself. Yeah, we're four days

978
00:44:51,160 --> 00:44:53,160
Speaker 2: in and I keep trying to find I bring in

979
00:44:53,239 --> 00:44:53,720
Speaker 2: new people.

980
00:44:53,760 --> 00:44:56,040
Speaker 1: I love the voices we get, and I keep being like, well,

981
00:44:56,120 --> 00:44:59,440
Speaker 1: maybe this will be the person who found a real company.

982
00:45:00,000 --> 00:45:02,440
Speaker 3: Well, I'm sorry I've mentioned this before. I got to

983
00:45:02,520 --> 00:45:04,879
Speaker 3: drive an electric boat this morning. Okay, that was fun.

984
00:45:06,440 --> 00:45:10,520
Speaker 3: They're a company called Arc Boats and they're based out

985
00:45:10,520 --> 00:45:13,240
Speaker 3: of Los Angeles, and it's a bunch of former SpaceX engineers.

986
00:45:14,920 --> 00:45:16,560
Speaker 3: That kind of stuff gets thrown around a lot with

987
00:45:16,640 --> 00:45:19,279
Speaker 3: like Tesla and SpaceX, especially where it's like, you know,

988
00:45:19,840 --> 00:45:22,160
Speaker 3: this company's founded by SpaceX engineers. It's like these guys

989
00:45:22,200 --> 00:45:26,680
Speaker 3: are actually genuinely smart at coming up with interesting ideas

990
00:45:26,719 --> 00:45:29,480
Speaker 3: and trying to apply them to products and their whole thing.

991
00:45:29,520 --> 00:45:31,520
Speaker 3: I mean, there's a lot of different electric boat companies

992
00:45:31,600 --> 00:45:36,800
Speaker 3: that are trying to find find a way to replace

993
00:45:36,920 --> 00:45:41,120
Speaker 3: gas boats, whether that's in water taxis or more traditional

994
00:45:41,360 --> 00:45:43,600
Speaker 3: sort of just like fishing boats. These guys are really

995
00:45:43,640 --> 00:45:46,840
Speaker 3: going after a market that I think makes sense, just

996
00:45:47,040 --> 00:45:50,239
Speaker 3: like boats for rich people, you know, Like originally they

997
00:45:50,320 --> 00:45:52,080
Speaker 3: had one that it was just really kind of like

998
00:45:52,160 --> 00:45:54,160
Speaker 3: a fast fun boat on the water. This one's more

999
00:45:54,239 --> 00:45:57,319
Speaker 3: specifically like almost like a wakeboard boat, like wakesports. It's

1000
00:45:57,360 --> 00:46:01,359
Speaker 3: like tailor made for that, and it costs a lot

1001
00:46:01,360 --> 00:46:03,440
Speaker 3: of money. I think it's in the high one hundred

1002
00:46:03,440 --> 00:46:06,680
Speaker 3: thousand dollars marks. But it's the kind of boat that

1003
00:46:06,880 --> 00:46:09,719
Speaker 3: you're already talking about spending almost that much with a

1004
00:46:09,800 --> 00:46:13,160
Speaker 3: regular gas version, and I am, yeah, of course. So

1005
00:46:13,960 --> 00:46:16,319
Speaker 3: they've been around for a couple of years. I think

1006
00:46:16,360 --> 00:46:20,480
Speaker 3: they got founded in twenty twenty one. But they're actually

1007
00:46:20,840 --> 00:46:23,960
Speaker 3: delivering these They started delivering this boat. They handbuild them

1008
00:46:24,280 --> 00:46:26,840
Speaker 3: or mostly handbuild them in Los Angeles. They started delivering

1009
00:46:26,880 --> 00:46:29,520
Speaker 3: them a couple months ago to the first owners, so

1010
00:46:29,560 --> 00:46:32,400
Speaker 3: they're actually generating revenue. They have a bunch of investment.

1011
00:46:32,440 --> 00:46:34,319
Speaker 3: They have some celebrity investors. I can't remember who they

1012
00:46:34,320 --> 00:46:35,960
Speaker 3: are off the top of my head. That always makes

1013
00:46:36,000 --> 00:46:40,800
Speaker 3: me wary. But they're also though, yeah, so I have

1014
00:46:40,880 --> 00:46:43,960
Speaker 3: to drive it this mort yea Lake Mead. That's the

1015
00:46:44,040 --> 00:46:47,320
Speaker 3: only the only bummer of the experience was it was

1016
00:46:47,400 --> 00:46:48,400
Speaker 3: at leak Mead, which.

1017
00:46:48,280 --> 00:46:49,879
Speaker 2: Is like it's like it's fair.

1018
00:46:52,000 --> 00:46:53,600
Speaker 3: So it's like you know, the you know, if I

1019
00:46:53,840 --> 00:46:56,640
Speaker 3: if I removed myself from the experience, it was kind

1020
00:46:56,640 --> 00:46:59,319
Speaker 3: of depressing because you're like, oh, this isn't it fun

1021
00:46:59,400 --> 00:47:01,239
Speaker 3: to tool around in this electric boat in the lake

1022
00:47:01,320 --> 00:47:02,640
Speaker 3: that exists.

1023
00:47:02,560 --> 00:47:05,759
Speaker 1: The time for the end of the inland freshwater experience

1024
00:47:05,880 --> 00:47:07,080
Speaker 1: here in the United States.

1025
00:47:07,160 --> 00:47:09,359
Speaker 3: Yeah, but you know, if I was able to set

1026
00:47:09,400 --> 00:47:12,800
Speaker 3: that aside for a moment, it was a pretty fun experience.

1027
00:47:12,760 --> 00:47:16,800
Speaker 2: Other than just the terrible threat to humanity. Yeah, and

1028
00:47:16,880 --> 00:47:18,560
Speaker 2: you know, I mean, like, I think it's pretty clear

1029
00:47:18,600 --> 00:47:21,239
Speaker 2: there's somehow putting on the boat company. I apologize, no.

1030
00:47:21,320 --> 00:47:23,600
Speaker 3: But I you know, I think it's interesting that some

1031
00:47:23,760 --> 00:47:28,600
Speaker 3: of these products, these these vehicles, you know, for a

1032
00:47:28,680 --> 00:47:30,720
Speaker 3: long time especially it shows like, see, yes, we're sold

1033
00:47:30,760 --> 00:47:34,319
Speaker 3: as solutions to that larger problem of what we're doing

1034
00:47:34,400 --> 00:47:35,200
Speaker 3: to the planet.

1035
00:47:35,000 --> 00:47:37,080
Speaker 2: As opposed to the fact that corporations are causing it.

1036
00:47:37,280 --> 00:47:40,800
Speaker 3: Yeah, and now that's just you know, that doesn't that

1037
00:47:40,840 --> 00:47:42,719
Speaker 3: doesn't really get put front and center anymore because I

1038
00:47:42,760 --> 00:47:47,360
Speaker 3: think people a they don't want to have to like

1039
00:47:47,600 --> 00:47:50,800
Speaker 3: live up to that, yeah, right and be like because

1040
00:47:50,800 --> 00:47:52,920
Speaker 3: it doesn't seem like that's actually going to help us.

1041
00:47:53,239 --> 00:47:55,360
Speaker 3: So like, you know, I don't begrudge them for not

1042
00:47:55,440 --> 00:47:57,520
Speaker 3: trying to like put that front and center. But it

1043
00:47:57,640 --> 00:47:59,640
Speaker 3: was it was hard to separate it from the experience.

1044
00:47:59,719 --> 00:48:01,000
Speaker 3: But you know, it was a lot of fun.

1045
00:48:01,080 --> 00:48:02,920
Speaker 1: Yeah, that was something I was sort of struck by.

1046
00:48:03,120 --> 00:48:04,400
Speaker 1: I mean, I guess just in general, I think that

1047
00:48:04,440 --> 00:48:06,560
Speaker 1: assessment is correct in terms of how people are thinking

1048
00:48:06,640 --> 00:48:09,560
Speaker 1: about like, you know, not individually, but I think that

1049
00:48:09,680 --> 00:48:12,279
Speaker 1: like broadly speaking, that there's like a turn in the

1050
00:48:12,360 --> 00:48:14,480
Speaker 1: culture towards like, well, we're not going to win this one,

1051
00:48:15,040 --> 00:48:18,279
Speaker 1: and so either people are being hedonistic and you know,

1052
00:48:18,480 --> 00:48:20,040
Speaker 1: like sort of being like, oh whatever, let's see what

1053
00:48:20,080 --> 00:48:23,200
Speaker 1: happens if you put literally the worst guy of his

1054
00:48:23,360 --> 00:48:25,480
Speaker 1: generation in charge of the country again and see where

1055
00:48:25,560 --> 00:48:25,919
Speaker 1: that goes.

1056
00:48:26,640 --> 00:48:26,759
Speaker 5: Well.

1057
00:48:26,800 --> 00:48:29,040
Speaker 1: But in this instance, it's like I haven't seen as much,

1058
00:48:29,200 --> 00:48:31,680
Speaker 1: like very few of the even in the like big

1059
00:48:31,960 --> 00:48:34,799
Speaker 1: tech spaces that I saw this morning at the convention center,

1060
00:48:35,239 --> 00:48:38,120
Speaker 1: like people don't like energy efficiency kind of seems like

1061
00:48:38,560 --> 00:48:40,560
Speaker 1: I expected to see more of it, like even just

1062
00:48:40,600 --> 00:48:42,560
Speaker 1: in terms of people wanting to save money on bills

1063
00:48:42,680 --> 00:48:45,040
Speaker 1: or whatever, and I didn't see a lot of that.

1064
00:48:45,239 --> 00:48:46,399
Speaker 1: Like I don't know if it's just like if it's

1065
00:48:46,440 --> 00:48:49,600
Speaker 1: considered to be like you know, off the vibe of

1066
00:48:49,760 --> 00:48:52,080
Speaker 1: like people showing up and wanting to get excited about

1067
00:48:52,080 --> 00:48:53,399
Speaker 1: stuff and about having new.

1068
00:48:53,320 --> 00:48:55,719
Speaker 3: Things, or yeah, I mean I think a place like

1069
00:48:55,760 --> 00:48:58,279
Speaker 3: this sort of incentivizes the people who are coming up

1070
00:48:58,320 --> 00:49:01,960
Speaker 3: with the weirder, dumber, more boisterous displays anyways, and it's

1071
00:49:02,040 --> 00:49:04,160
Speaker 3: kind of hard to like, you know, I think that's

1072
00:49:04,200 --> 00:49:06,520
Speaker 3: where there actually is some value in these like weird

1073
00:49:06,560 --> 00:49:09,640
Speaker 3: shows they do the first few evenings, like Cees Unveiled

1074
00:49:09,680 --> 00:49:12,320
Speaker 3: or Pepcom, where it's basically just like a gauntlet of

1075
00:49:12,440 --> 00:49:14,879
Speaker 3: like two hundred startups in a room that don't seem

1076
00:49:15,000 --> 00:49:17,360
Speaker 3: very properly vetted. But like that's where you're going to

1077
00:49:17,400 --> 00:49:19,160
Speaker 3: find like the place that you know, the company of

1078
00:49:19,239 --> 00:49:21,799
Speaker 3: like three people that's like we can actually use AI

1079
00:49:21,960 --> 00:49:24,960
Speaker 3: to like save you nine bucks a month on your

1080
00:49:25,080 --> 00:49:26,880
Speaker 3: energy bill or something like that, because like they're not

1081
00:49:26,960 --> 00:49:29,240
Speaker 3: going to be able to afford a show floor booth.

1082
00:49:29,360 --> 00:49:32,240
Speaker 2: I also need to be the pepcom is an enemy

1083
00:49:32,280 --> 00:49:35,480
Speaker 2: of Better Offline. There an enemy of Better Offline. Fully

1084
00:49:35,560 --> 00:49:37,160
Speaker 2: because we applied and they said I've run a po off.

1085
00:49:37,160 --> 00:49:41,680
Speaker 2: I can't be allowed and enemy everything at pepcom diseased.

1086
00:49:42,080 --> 00:49:44,239
Speaker 2: I stand shoulders shoulder with you, thank you.

1087
00:49:44,520 --> 00:49:46,799
Speaker 5: Than they have standards I was too.

1088
00:49:46,960 --> 00:49:50,120
Speaker 2: That's what was so offensive. Yeah, like do you know

1089
00:49:50,200 --> 00:49:52,160
Speaker 2: how bad it is? Like I already get looked on

1090
00:49:52,400 --> 00:49:55,400
Speaker 2: down on quite a lot for many reasons, many listeners

1091
00:49:55,480 --> 00:49:59,920
Speaker 2: know for your dangerous views, my dangerous views, my political

1092
00:50:00,080 --> 00:50:03,120
Speaker 2: opinions of I don't know anything, but also just like,

1093
00:50:04,200 --> 00:50:05,920
Speaker 2: oh my god, I'm not going to spend money on

1094
00:50:05,960 --> 00:50:07,640
Speaker 2: a pep compot. No one should have to pay to

1095
00:50:07,719 --> 00:50:11,440
Speaker 2: go there. The booth people, sure, but not me. Why

1096
00:50:11,480 --> 00:50:13,319
Speaker 2: would you do that to me? And that is why

1097
00:50:13,360 --> 00:50:15,480
Speaker 2: they're an enemy at the show. Now, nobody has to

1098
00:50:15,560 --> 00:50:17,880
Speaker 2: agree with this. Everyone's looking at me like very worried.

1099
00:50:17,960 --> 00:50:21,000
Speaker 2: Don't worry. This is my opinion, not anyone else's. Not

1100
00:50:21,160 --> 00:50:22,280
Speaker 2: to be like self promotional.

1101
00:50:22,320 --> 00:50:24,640
Speaker 3: But it was one of the things that I really

1102
00:50:24,719 --> 00:50:27,560
Speaker 3: enjoyed about going to our conference, TechCrunch Disrupt a couple

1103
00:50:27,600 --> 00:50:28,960
Speaker 3: months ago for the time because I had never gone

1104
00:50:28,960 --> 00:50:31,160
Speaker 3: to it before until I worked here, and I was

1105
00:50:31,280 --> 00:50:35,880
Speaker 3: so almost like low level nervous walking in for the

1106
00:50:35,960 --> 00:50:38,080
Speaker 3: first time because it looks a lot like pepcom and

1107
00:50:38,160 --> 00:50:40,880
Speaker 3: CS unveiled. It's like people at like these little like

1108
00:50:40,960 --> 00:50:45,080
Speaker 3: cocktail tables with like a sign behind them as the company. Yeah,

1109
00:50:45,320 --> 00:50:47,560
Speaker 3: there's two hundred that were there, And I'm just so

1110
00:50:48,080 --> 00:50:52,480
Speaker 3: attuned to like the like hawker vibe of these events

1111
00:50:52,520 --> 00:50:54,880
Speaker 3: here where it's like guys just popping out at you

1112
00:50:55,040 --> 00:50:57,279
Speaker 3: like they recognize your name or you're out and they're like, hey,

1113
00:50:57,360 --> 00:50:59,160
Speaker 3: can I tell you about the new robot vacuum like

1114
00:50:59,440 --> 00:51:01,960
Speaker 3: or whatever, and uh, and it was such a different

1115
00:51:01,960 --> 00:51:03,759
Speaker 3: experience because at least there we were trying to like

1116
00:51:04,600 --> 00:51:07,640
Speaker 3: find companies these events. It's like they're paying to be here,

1117
00:51:07,680 --> 00:51:10,000
Speaker 3: and there's really not like a vetting process. There's like

1118
00:51:10,080 --> 00:51:12,160
Speaker 3: some sorting you know that like each day it's going

1119
00:51:12,200 --> 00:51:13,920
Speaker 3: to get a little bit worse, but other than that,

1120
00:51:14,080 --> 00:51:16,640
Speaker 3: there's really not much of a bar for most of it.

1121
00:51:16,840 --> 00:51:19,359
Speaker 3: So it was it was I didn't realize how much

1122
00:51:19,480 --> 00:51:21,759
Speaker 3: like the pepcom's in the Cees Unveiled had ruined me

1123
00:51:21,920 --> 00:51:23,400
Speaker 3: for like that experience until we.

1124
00:51:23,440 --> 00:51:26,719
Speaker 2: Went to the same we have like an assault style Yeah,

1125
00:51:27,440 --> 00:51:31,440
Speaker 2: and Carissa gets attacked by humans and roybooks.

1126
00:51:31,000 --> 00:51:32,680
Speaker 1: Apparently literal assaults.

1127
00:51:32,760 --> 00:51:34,760
Speaker 2: Do they do you feel that they treat you differently

1128
00:51:34,760 --> 00:51:38,880
Speaker 2: as a woman robots? Well, I mean I don't know

1129
00:51:38,920 --> 00:51:41,200
Speaker 2: a guy who got attacked by one, so yes, but no,

1130
00:51:41,760 --> 00:51:43,000
Speaker 2: do you get different.

1131
00:51:42,719 --> 00:51:47,080
Speaker 1: First woman to get attacked by that, they didn't specify

1132
00:51:47,160 --> 00:51:50,120
Speaker 1: that man, But no, they do you get treated differently,

1133
00:51:52,080 --> 00:51:52,440
Speaker 1: you know, I.

1134
00:51:52,440 --> 00:51:55,480
Speaker 5: Think, I mean I don't think that I do most

1135
00:51:55,520 --> 00:51:57,319
Speaker 5: of the time, but then you have those moments where

1136
00:51:57,320 --> 00:51:59,520
Speaker 5: somebody makes that comment like Oh, you're the first lady

1137
00:51:59,600 --> 00:52:00,040
Speaker 5: to drive.

1138
00:52:00,600 --> 00:52:03,439
Speaker 1: And you're like why Chris, what Yeah?

1139
00:52:03,760 --> 00:52:06,320
Speaker 5: Second of all, like why would you feel need to

1140
00:52:06,920 --> 00:52:10,920
Speaker 5: just say that out loud? So, you know, I think

1141
00:52:11,040 --> 00:52:13,320
Speaker 5: there's always those little moments, especially when you come to

1142
00:52:13,400 --> 00:52:15,920
Speaker 5: see us and you know, you end up interacting with

1143
00:52:15,960 --> 00:52:19,759
Speaker 5: a lot of people who are maybe either like not

1144
00:52:20,000 --> 00:52:22,399
Speaker 5: used to interacting with so many people all the time,

1145
00:52:22,520 --> 00:52:24,799
Speaker 5: or are just so exhausted from having to give their

1146
00:52:24,840 --> 00:52:29,040
Speaker 5: same speech over and over again that people say weird things.

1147
00:52:29,440 --> 00:52:29,880
Speaker 5: I try not to.

1148
00:52:30,000 --> 00:52:33,000
Speaker 1: That's very generous of you. Edward had a similar statement

1149
00:52:33,040 --> 00:52:34,719
Speaker 1: when you had some weird stuff happen when we were

1150
00:52:34,760 --> 00:52:36,279
Speaker 1: down on the floor earlier. And I think it's like

1151
00:52:36,960 --> 00:52:39,239
Speaker 1: the I guess you just have to assume that, like

1152
00:52:39,320 --> 00:52:43,040
Speaker 1: at baseline, these are it's like the least socially adept

1153
00:52:43,200 --> 00:52:45,000
Speaker 1: salespeople that you're likely to encounter.

1154
00:52:45,920 --> 00:52:49,320
Speaker 5: It's also just such an unnatural environment because you have

1155
00:52:49,480 --> 00:52:52,440
Speaker 5: so many people from all over squeezed into you know,

1156
00:52:52,520 --> 00:52:55,920
Speaker 5: these really small spaces and you're just trying to survive

1157
00:52:55,960 --> 00:52:56,319
Speaker 5: at least.

1158
00:52:56,360 --> 00:52:58,359
Speaker 1: That's yeah, you know, that's how I feel that they

1159
00:52:58,440 --> 00:53:00,759
Speaker 1: never get to go outside. It seems really brutal, you know,

1160
00:53:00,800 --> 00:53:03,640
Speaker 1: what it reminds me of. Actually, this is like that

1161
00:53:03,800 --> 00:53:05,719
Speaker 1: kind of puts a finger on something that I've been

1162
00:53:05,760 --> 00:53:07,279
Speaker 1: like kind of trying to figure out. I covered the

1163
00:53:07,440 --> 00:53:09,960
Speaker 1: dog show the Westminster Kennel Club show many years ago

1164
00:53:10,160 --> 00:53:12,080
Speaker 1: so jealous, and it was amazing. I would do it

1165
00:53:12,239 --> 00:53:16,000
Speaker 1: again for no money. It was the best experience ever. Basically.

1166
00:53:16,520 --> 00:53:19,160
Speaker 1: I mean, whatever it's like isn't sports writing. You know,

1167
00:53:19,320 --> 00:53:20,839
Speaker 1: like I was able to sort of fake it at

1168
00:53:20,840 --> 00:53:23,799
Speaker 1: the time and have it pretend to be you know enough.

1169
00:53:24,440 --> 00:53:27,400
Speaker 1: But the people that so part of that is like

1170
00:53:27,440 --> 00:53:29,960
Speaker 1: a trade show. You know that, like the dogs competing,

1171
00:53:30,239 --> 00:53:31,600
Speaker 1: you can go up on the floor. It's like literally

1172
00:53:31,640 --> 00:53:33,600
Speaker 1: the floor of the garden where like the nixt play

1173
00:53:34,040 --> 00:53:36,000
Speaker 1: and watch like some corgis running a circle. And I

1174
00:53:36,160 --> 00:53:38,920
Speaker 1: obviously had a great time doing that. Yeah, you know,

1175
00:53:39,440 --> 00:53:42,120
Speaker 1: better than anything that happened at the garden, like until

1176
00:53:42,200 --> 00:53:45,920
Speaker 1: like Jalen Brunson came to town. But everything that happens

1177
00:53:46,040 --> 00:53:50,279
Speaker 1: below that is breeders trying to like basically get you

1178
00:53:50,520 --> 00:53:55,400
Speaker 1: to buy either their dog's seed or to like promote

1179
00:53:55,600 --> 00:53:57,880
Speaker 1: their their breed. You know that they're like because it

1180
00:53:58,000 --> 00:54:01,080
Speaker 1: is like there's a eugenics yes, light aspect to it

1181
00:54:01,080 --> 00:54:03,040
Speaker 1: where you're kind of just like my Like I'm a

1182
00:54:03,080 --> 00:54:07,640
Speaker 1: Belgian Malinois guy, Like that's everything about Belgian mallawaws is

1183
00:54:07,680 --> 00:54:09,880
Speaker 1: more important to me than anything else about anything.

1184
00:54:09,600 --> 00:54:10,239
Speaker 2: Else in my life.

1185
00:54:10,800 --> 00:54:12,960
Speaker 1: And yet those people, so that's a level again, like

1186
00:54:13,040 --> 00:54:16,000
Speaker 1: a baseline level of weirdness, like somebody that's just like

1187
00:54:16,600 --> 00:54:20,439
Speaker 1: such a terrier pervert that they can't be normal about

1188
00:54:20,440 --> 00:54:24,520
Speaker 1: other stuff. And yet like there is something kind of

1189
00:54:24,719 --> 00:54:27,359
Speaker 1: like a wholesome ish about it too, because like they're

1190
00:54:27,960 --> 00:54:31,520
Speaker 1: they're under this incredible duress they're in like the room

1191
00:54:31,800 --> 00:54:35,160
Speaker 1: under the room under the locker rooms at Madison Square Garden.

1192
00:54:35,880 --> 00:54:39,560
Speaker 1: It's like the room smells like dogs and people intensely.

1193
00:54:39,640 --> 00:54:41,520
Speaker 2: We're talking about the dog show still.

1194
00:54:41,440 --> 00:54:43,480
Speaker 1: The dog Show, still, yes, and it gets it gets

1195
00:54:43,560 --> 00:54:46,040
Speaker 1: worse and worse. And yet like they wouldn't be doing

1196
00:54:46,080 --> 00:54:47,840
Speaker 1: it if there wasn't some part of them that was

1197
00:54:47,960 --> 00:54:51,279
Speaker 1: like strange in the way that made that seem like

1198
00:54:51,320 --> 00:54:53,759
Speaker 1: a good idea to them at some point, right, And

1199
00:54:53,840 --> 00:54:55,320
Speaker 1: I guess that's probably true to us. I mean, I

1200
00:54:55,360 --> 00:54:57,200
Speaker 1: don't know that that's every differ, but.

1201
00:54:57,440 --> 00:54:59,560
Speaker 2: Most people are not like that. Hit Everyone is like

1202
00:54:59,719 --> 00:55:02,479
Speaker 2: just like I gotta come here for the I gotta

1203
00:55:02,480 --> 00:55:04,480
Speaker 2: stand there and be like, yeah, this dishwasher can wash

1204
00:55:04,560 --> 00:55:07,520
Speaker 2: in five seconds. Please don't count how many seconds. It's eight?

1205
00:55:08,120 --> 00:55:09,719
Speaker 1: Yeah, I mean I guess. It's also there's like a

1206
00:55:09,840 --> 00:55:12,040
Speaker 1: level of uncanniness. It's more fun when it's dogs.

1207
00:55:13,920 --> 00:55:15,400
Speaker 2: But also with a dog, I feel like there's a

1208
00:55:15,760 --> 00:55:18,000
Speaker 2: there's not that much abstraction. You know, you're getting like

1209
00:55:18,040 --> 00:55:21,799
Speaker 2: a fine ars terrier. Yeap, Like this Pekinese is really

1210
00:55:21,840 --> 00:55:24,480
Speaker 2: gonna do it for you, you know what comes out theoretically.

1211
00:55:25,520 --> 00:55:27,520
Speaker 2: But with this it's like you've got pr people, you've

1212
00:55:27,520 --> 00:55:30,480
Speaker 2: got like sales development people, you've got random people who

1213
00:55:30,520 --> 00:55:32,560
Speaker 2: are just like I kind of know the product and

1214
00:55:32,640 --> 00:55:35,960
Speaker 2: it's theoretical anyway. So it's like, can't take that next step.

1215
00:55:36,560 --> 00:55:39,440
Speaker 2: If you need depth, I don't have it. Man, And

1216
00:55:39,560 --> 00:55:42,480
Speaker 2: the guy who pays me will be very angry if

1217
00:55:42,520 --> 00:55:44,560
Speaker 2: he has to answer a question for reasons that I've

1218
00:55:44,600 --> 00:55:45,360
Speaker 2: chosen to ignore.

1219
00:55:45,719 --> 00:55:48,040
Speaker 1: Yeah, that's true. The dog version of that was basically

1220
00:55:48,200 --> 00:55:50,120
Speaker 1: like guys being like, oh, yeah, he loves ice cream.

1221
00:55:50,480 --> 00:55:53,800
Speaker 1: You know that's fine. You know, like that was actually

1222
00:55:53,880 --> 00:55:56,600
Speaker 1: the most intense question that I had about this dog.

1223
00:55:56,880 --> 00:55:59,440
Speaker 5: The best is the look of panic that comes over

1224
00:56:00,480 --> 00:56:02,480
Speaker 5: you know, someone in the booth's face when you ask

1225
00:56:02,600 --> 00:56:06,040
Speaker 5: what you think is a relatively simple, straightforward question, Yeah,

1226
00:56:06,040 --> 00:56:08,360
Speaker 5: and they just get this logo sheer panic and they're like,

1227
00:56:08,560 --> 00:56:11,160
Speaker 5: well I can find someone.

1228
00:56:11,480 --> 00:56:13,600
Speaker 1: We had my one when I was walking on with Edward,

1229
00:56:13,600 --> 00:56:15,480
Speaker 1: who actually is a tech journalist, there was a moment

1230
00:56:15,480 --> 00:56:17,160
Speaker 1: where like there was one guy that was talking to us,

1231
00:56:17,239 --> 00:56:18,920
Speaker 1: he's sort of doing his sales thing, and then like

1232
00:56:19,360 --> 00:56:21,560
Speaker 1: every started asking like the good follow ups that a

1233
00:56:21,600 --> 00:56:23,239
Speaker 1: tech journalist woul ask, like in terms of like DM

1234
00:56:23,239 --> 00:56:26,560
Speaker 1: a prototype is it like? And it was exactly that,

1235
00:56:26,719 --> 00:56:28,319
Speaker 1: Like this guy who kind of reminded me a little

1236
00:56:28,320 --> 00:56:29,920
Speaker 1: bit of like Mark McKinney from Kids in the Hall,

1237
00:56:30,000 --> 00:56:31,759
Speaker 1: like just kind of like a big goofy Canadian guy

1238
00:56:31,840 --> 00:56:34,400
Speaker 1: being like, well, that's a great question, I think. But

1239
00:56:34,640 --> 00:56:36,719
Speaker 1: there was a moment where he clearly was like there

1240
00:56:36,760 --> 00:56:39,080
Speaker 1: were reach and grasp issues that were not going to

1241
00:56:39,120 --> 00:56:42,680
Speaker 1: be reconcilable, and he tapped himself out. He was like,

1242
00:56:42,800 --> 00:56:44,920
Speaker 1: there's our product, guys eating pizza back there. Can you

1243
00:56:44,960 --> 00:56:47,120
Speaker 1: wait like thirty seconds because like I'm not gonna like

1244
00:56:47,440 --> 00:56:49,440
Speaker 1: lie to you and I can't tell you the truth.

1245
00:56:49,480 --> 00:56:53,560
Speaker 1: I don't know it, which you know I found honorable roast.

1246
00:56:53,400 --> 00:56:54,239
Speaker 2: Honest guy at see.

1247
00:56:54,320 --> 00:56:54,520
Speaker 4: Yeah.

1248
00:56:55,280 --> 00:56:56,800
Speaker 2: I woked up to the post night and told the

1249
00:56:56,840 --> 00:56:58,640
Speaker 2: story in the show already and I was like, it

1250
00:56:58,800 --> 00:57:00,680
Speaker 2: was a thing claiming to be a new hope for

1251
00:57:00,840 --> 00:57:05,839
Speaker 2: autism and dyslexia. Yeah, shocker, it wasn't. And I walked

1252
00:57:05,920 --> 00:57:08,600
Speaker 2: up and said, if you talk to the FDA about this,

1253
00:57:08,719 --> 00:57:11,440
Speaker 2: and they just went what's that, which is what we

1254
00:57:11,560 --> 00:57:13,520
Speaker 2: call a good start. And I had to walk away

1255
00:57:13,560 --> 00:57:16,440
Speaker 2: because it was too pissed off. But that happens a

1256
00:57:16,520 --> 00:57:19,400
Speaker 2: lot to me with almost everything. It's just so weird

1257
00:57:19,520 --> 00:57:21,560
Speaker 2: having a show with so many I keep coming back

1258
00:57:21,600 --> 00:57:23,400
Speaker 2: to this point. I've said it. I think every episode

1259
00:57:23,400 --> 00:57:25,720
Speaker 2: where it's like, it's so weird, how much of this

1260
00:57:25,920 --> 00:57:31,360
Speaker 2: is fake? Just completely made up? Even the expensive ones. Yeah,

1261
00:57:31,920 --> 00:57:35,240
Speaker 2: what the I Even with cars, I didn't think you

1262
00:57:35,320 --> 00:57:38,040
Speaker 2: could fake that one. They got fucking wheels like go

1263
00:57:38,160 --> 00:57:40,680
Speaker 2: forward and backwards inside the side tesla sometimes a little

1264
00:57:40,720 --> 00:57:43,520
Speaker 2: too much, but it's like, you can't fake you can

1265
00:57:43,640 --> 00:57:46,439
Speaker 2: fake cars hundreds of millions of dollars. It sounds like, yeah,

1266
00:57:46,520 --> 00:57:49,960
Speaker 2: and across multiple companies. I'm going insane by the end

1267
00:57:50,000 --> 00:57:54,440
Speaker 2: of this trip. I'm gonna I think it's nice. And

1268
00:57:54,560 --> 00:57:56,160
Speaker 2: I guess they're doing this so they can get more

1269
00:57:56,200 --> 00:57:59,280
Speaker 2: investment capital. They just like keep doing the con the

1270
00:57:59,360 --> 00:58:02,240
Speaker 2: car company in particular, Yeah, yeah, Faraday. Yeah. I mean

1271
00:58:02,240 --> 00:58:05,480
Speaker 2: they're trying to raise money from the Middle East now again. Yeah,

1272
00:58:06,160 --> 00:58:06,680
Speaker 2: from the UE.

1273
00:58:07,320 --> 00:58:09,520
Speaker 1: Oh my god, I got a lot of money over there.

1274
00:58:11,160 --> 00:58:13,880
Speaker 2: I just I keep bringing people in and hoping they'll

1275
00:58:13,920 --> 00:58:16,720
Speaker 2: help and help redeem this show, but they can't throw it.

1276
00:58:16,960 --> 00:58:18,840
Speaker 1: I keep coming back. Well, the dog door, there's a

1277
00:58:18,920 --> 00:58:19,840
Speaker 1: really good dog door.

1278
00:58:20,000 --> 00:58:22,480
Speaker 2: Yeah, okay. I talked to the cat door company just

1279
00:58:22,520 --> 00:58:24,560
Speaker 2: to be clear, and I said, what was the training

1280
00:58:24,640 --> 00:58:27,200
Speaker 2: data you use for the company, and they said, oh

1281
00:58:27,320 --> 00:58:29,920
Speaker 2: my cat. And he was British, so I gave them

1282
00:58:29,960 --> 00:58:32,640
Speaker 2: a little easier time. They're simple people, but I wanted

1283
00:58:32,680 --> 00:58:35,120
Speaker 2: to be like, you've never seen those different shapes of

1284
00:58:35,240 --> 00:58:37,720
Speaker 2: cats alone. And it just had this video of this

1285
00:58:37,960 --> 00:58:40,360
Speaker 2: cat with a bird in its mouth, just shoving its

1286
00:58:40,440 --> 00:58:43,800
Speaker 2: face again and again, and I just stood looking at it,

1287
00:58:43,840 --> 00:58:45,520
Speaker 2: and I think the guy worked out that I was

1288
00:58:45,560 --> 00:58:47,880
Speaker 2: already coming up with an annoying question and just turned

1289
00:58:47,920 --> 00:58:50,840
Speaker 2: his back to me. So honestly, a pro move. No, no,

1290
00:58:51,000 --> 00:58:55,320
Speaker 2: that is expert offensive line work. But before we go, Chris,

1291
00:58:55,600 --> 00:58:57,400
Speaker 2: how many CS is this view?

1292
00:58:57,760 --> 00:58:58,920
Speaker 5: I think this is number seven?

1293
00:58:59,440 --> 00:59:03,400
Speaker 2: Nice? Sure, I think around the same. Yeah, yeah, Is

1294
00:59:03,480 --> 00:59:05,160
Speaker 2: this better or worse? Would you say?

1295
00:59:08,200 --> 00:59:12,720
Speaker 5: Worse in the sense that I see less fewer things

1296
00:59:12,800 --> 00:59:16,360
Speaker 5: that are really cool and interesting and excite me. And

1297
00:59:16,440 --> 00:59:18,560
Speaker 5: that might also just be because I'm more jaded now

1298
00:59:19,000 --> 00:59:20,400
Speaker 5: from having done this seven times.

1299
00:59:20,440 --> 00:59:22,040
Speaker 2: It's ydrop to impress you, but.

1300
00:59:22,240 --> 00:59:25,360
Speaker 5: Better because I also get a lot less stressed out

1301
00:59:25,440 --> 00:59:27,160
Speaker 5: when I first started coming to see Yes, you know

1302
00:59:27,400 --> 00:59:29,520
Speaker 5: used I used to show up and be so stressed

1303
00:59:29,520 --> 00:59:31,960
Speaker 5: out and make too many appointments and spend the whole

1304
00:59:32,000 --> 00:59:34,800
Speaker 5: week running around and forgetting to eat. And you know,

1305
00:59:34,880 --> 00:59:38,760
Speaker 5: now I feel like I can maybe not relax is

1306
00:59:38,800 --> 00:59:41,960
Speaker 5: not the right word, but I can, you know, have

1307
00:59:42,120 --> 00:59:45,400
Speaker 5: a I don't get too worried about it anymore.

1308
00:59:45,920 --> 00:59:49,880
Speaker 3: Sure, I think that's a really really repeatable experience for

1309
00:59:49,960 --> 00:59:52,320
Speaker 3: the people who do it a lot, where you start

1310
00:59:52,360 --> 00:59:55,000
Speaker 3: to realize, you realize you can let go of what

1311
00:59:55,320 --> 00:59:58,120
Speaker 3: seems important. But I do think it tracks with there

1312
00:59:58,160 --> 01:00:01,600
Speaker 3: being maybe less interesting stuff because we're also just in

1313
01:00:01,680 --> 01:00:07,080
Speaker 3: this weird It's like a moment where so many people

1314
01:00:07,160 --> 01:00:10,480
Speaker 3: have started over the line with the AI stuff and

1315
01:00:10,640 --> 01:00:12,720
Speaker 3: like people feel like, oh, I had better do it too,

1316
01:00:13,280 --> 01:00:15,600
Speaker 3: regardless of the product. So I don't know in that sense,

1317
01:00:15,600 --> 01:00:18,840
Speaker 3: I feel like it's worse, but I better in that

1318
01:00:18,960 --> 01:00:21,080
Speaker 3: I know how to like hack the experience more because

1319
01:00:21,120 --> 01:00:24,560
Speaker 3: I I got well, Like I came here with goals

1320
01:00:24,600 --> 01:00:26,600
Speaker 3: and I like accomplished some of those goals. But those

1321
01:00:26,640 --> 01:00:29,360
Speaker 3: goals are not about like finding a lot of new technology.

1322
01:00:29,400 --> 01:00:30,840
Speaker 3: It's like, I know people are going to be here

1323
01:00:31,040 --> 01:00:33,840
Speaker 3: who I need to get information out of or or

1324
01:00:33,880 --> 01:00:38,120
Speaker 3: build a relationship with, And it's like that's more of

1325
01:00:38,240 --> 01:00:41,920
Speaker 3: what I'm after. Although you have you can't separate yourself

1326
01:00:41,920 --> 01:00:44,840
Speaker 3: from all the other stuff, so so I will now.

1327
01:00:44,800 --> 01:00:46,720
Speaker 2: Get information from you. Where can people find you?

1328
01:00:46,800 --> 01:00:50,280
Speaker 3: Shown I'm a I'm at tech Crunch. Go to tech

1329
01:00:50,360 --> 01:00:52,439
Speaker 3: runch dot com. It's a great website. I'm on blue

1330
01:00:52,440 --> 01:00:54,560
Speaker 3: Sky Sean Kaine, Carissa.

1331
01:00:55,320 --> 01:00:59,880
Speaker 5: I'm at Engadget and social media blue Sky threads. Still

1332
01:01:00,080 --> 01:01:01,439
Speaker 5: technically have an.

1333
01:01:01,320 --> 01:01:03,320
Speaker 2: Account on x the Everything app.

1334
01:01:03,400 --> 01:01:06,600
Speaker 5: Yes, yes, if you just google my name you'll find Okay.

1335
01:01:06,720 --> 01:01:10,120
Speaker 1: And David right for Defector dot com of the podcast

1336
01:01:10,200 --> 01:01:13,040
Speaker 1: There is the Distraction. I have a podcast about Hallmark

1337
01:01:13,120 --> 01:01:15,960
Speaker 1: movies called It's Christmas Town. It did the alternating thing

1338
01:01:16,040 --> 01:01:17,120
Speaker 1: like we discussed earlier.

1339
01:01:17,160 --> 01:01:17,920
Speaker 2: I'm still putting it in.

1340
01:01:18,560 --> 01:01:21,960
Speaker 1: Uh and yeah. David j Roth at b sky or

1341
01:01:22,040 --> 01:01:23,680
Speaker 1: dot bsguide, dot social.

1342
01:01:24,200 --> 01:01:25,960
Speaker 2: My name is Adam, thirty eight years old, and I

1343
01:01:26,040 --> 01:01:28,440
Speaker 2: just started a podcast called Better Offline. It's paid for

1344
01:01:28,560 --> 01:01:30,240
Speaker 2: by the blood the ads that follow this, So can

1345
01:01:30,280 --> 01:01:33,360
Speaker 2: you please click from this time? I'm going to lose

1346
01:01:33,400 --> 01:01:35,960
Speaker 2: the podcast if I'm not careful, so please look at

1347
01:01:36,000 --> 01:01:54,320
Speaker 2: the ads. I need this. Welcome back to the show.

1348
01:01:54,360 --> 01:01:56,600
Speaker 2: It's me ed zitch On you link to Better Offline.

1349
01:01:56,600 --> 01:01:59,160
Speaker 2: You're still within the same episode. Why am I reintroducing you?

1350
01:01:59,200 --> 01:02:01,720
Speaker 2: You don't need this? But more importantly, I'm joined by

1351
01:02:01,840 --> 01:02:05,520
Speaker 2: Rob peg Gerarro. Well they're low old school dogs have

1352
01:02:05,640 --> 01:02:08,120
Speaker 2: free lance tech gym. That's I'm feeling very old after

1353
01:02:08,680 --> 01:02:11,080
Speaker 2: five days here for cees. Yeah, this place age, it's

1354
01:02:11,120 --> 01:02:13,560
Speaker 2: the beach that makes you old of tech? So what

1355
01:02:13,600 --> 01:02:14,680
Speaker 2: are you writing? Full right now?

1356
01:02:14,960 --> 01:02:18,640
Speaker 7: PC mag Fast Company, Wirecutter, various other publications as they

1357
01:02:18,720 --> 01:02:19,000
Speaker 7: come up.

1358
01:02:19,240 --> 01:02:23,280
Speaker 2: How many cs is this is the twenty seventh for me? No,

1359
01:02:24,120 --> 01:02:25,080
Speaker 2: that's not hell?

1360
01:02:25,200 --> 01:02:25,360
Speaker 5: Yeah?

1361
01:02:25,480 --> 01:02:28,160
Speaker 1: How many? Say ninety eight onwards? So the only one

1362
01:02:28,280 --> 01:02:30,320
Speaker 1: I did not attend in person.

1363
01:02:30,400 --> 01:02:33,000
Speaker 7: Didn't happen in person twenty twenty one, And at the

1364
01:02:33,040 --> 01:02:35,720
Speaker 7: start of that I realized, Yeah, my kid has never

1365
01:02:35,840 --> 01:02:38,200
Speaker 7: seen me that week of January either as my wife.

1366
01:02:38,680 --> 01:02:40,240
Speaker 1: We started dating in nineteen ninety nine.

1367
01:02:40,880 --> 01:02:42,320
Speaker 2: So was it always called CES?

1368
01:02:42,440 --> 01:02:42,920
Speaker 5: So it was.

1369
01:02:42,920 --> 01:02:46,880
Speaker 7: Originally the Consumer Electronics Show, and then it was the International.

1370
01:02:46,440 --> 01:02:50,160
Speaker 1: Cskay, it's just CES. It's like AIRP. It doesn't stand

1371
01:02:50,160 --> 01:02:53,200
Speaker 1: for anything anymore. Right, Oh, that's interesting. Yeah, we have

1372
01:02:53,280 --> 01:02:56,320
Speaker 1: the debate day or two ago. Honestly, at this point

1373
01:02:56,400 --> 01:02:58,600
Speaker 1: I have no idea what day it is. Let's be honest,

1374
01:02:58,640 --> 01:03:06,479
Speaker 1: Fellas day, but no one really Definitely a weekday. Yeah,

1375
01:03:06,800 --> 01:03:07,439
Speaker 1: that seems clear.

1376
01:03:07,600 --> 01:03:09,120
Speaker 2: Now we're at the point in the week and you

1377
01:03:09,120 --> 01:03:12,040
Speaker 2: will know this from your ment's experience. The CS begins

1378
01:03:12,080 --> 01:03:14,440
Speaker 2: to just crackle like I have one. Everyone left over

1379
01:03:14,520 --> 01:03:16,720
Speaker 2: it on the Thursday is just like I just want

1380
01:03:16,760 --> 01:03:18,280
Speaker 2: to I just want to see my family again.

1381
01:03:18,600 --> 01:03:22,080
Speaker 7: Yes, yes, but also traffic starts getting a little bit better.

1382
01:03:22,680 --> 01:03:25,480
Speaker 7: The line to get lunch or a cup.

1383
01:03:25,400 --> 01:03:27,720
Speaker 1: Of coffee or a beer whatever is not as bad

1384
01:03:27,760 --> 01:03:28,760
Speaker 1: as it was two days ago.

1385
01:03:30,240 --> 01:03:32,960
Speaker 2: Well, have you had a good show? Yes, I have

1386
01:03:34,000 --> 01:03:36,040
Speaker 2: very fired enjoyable. Yeah.

1387
01:03:36,480 --> 01:03:39,919
Speaker 7: You know, to me, the most interesting transformation of CS

1388
01:03:39,920 --> 01:03:42,840
Speaker 7: I've seen over the years. How first it started becoming

1389
01:03:42,880 --> 01:03:45,600
Speaker 7: a car show to the extent that basically killed off

1390
01:03:45,640 --> 01:03:50,880
Speaker 7: the the January Chicago North American International Auto Show, although

1391
01:03:51,120 --> 01:03:53,120
Speaker 7: Chicago weather in January may have had some factor, and

1392
01:03:53,200 --> 01:03:56,280
Speaker 7: that's it, right, But then it's become all these other

1393
01:03:56,600 --> 01:03:58,840
Speaker 7: aspects of it. So now you have the West Hall

1394
01:03:58,880 --> 01:04:02,440
Speaker 7: of the Las Vegas Convention Center where you have like

1395
01:04:02,720 --> 01:04:06,400
Speaker 7: giant earth moving machinery from Caterpillar. John Deere is going

1396
01:04:06,440 --> 01:04:11,400
Speaker 7: to line up of agricultural and construction machinery. You have

1397
01:04:12,040 --> 01:04:17,680
Speaker 7: boat makers, You've got Oshkosh showing off a battery electric

1398
01:04:17,760 --> 01:04:20,960
Speaker 7: garbage truck, and the cute little duck build truck they're

1399
01:04:20,960 --> 01:04:22,480
Speaker 7: building for the US Postal Service.

1400
01:04:23,160 --> 01:04:25,240
Speaker 1: Right, Oh they have that here? Oh yeah, yeah, Well

1401
01:04:25,440 --> 01:04:27,360
Speaker 1: it's like my dream to see that truck because I

1402
01:04:27,360 --> 01:04:29,200
Speaker 1: feel like they're going to spike the project.

1403
01:04:29,600 --> 01:04:32,160
Speaker 7: I'm a little worried about. Yes, my my new neighbor

1404
01:04:32,240 --> 01:04:35,040
Speaker 7: coming to Washington, DC. They're super behind on it, right,

1405
01:04:35,160 --> 01:04:38,360
Speaker 7: or there was another company that was screwed up worse. No,

1406
01:04:38,560 --> 01:04:40,640
Speaker 7: it's the New York Times that the Wall Street journals said, Yeah,

1407
01:04:40,680 --> 01:04:43,400
Speaker 7: they've shipped wayfier than they should have. It's like they say,

1408
01:04:43,440 --> 01:04:45,200
Speaker 7: they're delving in volume now, and I'd like to see

1409
01:04:45,200 --> 01:04:47,880
Speaker 7: them because, yeah, the letter carriers of my neighborhood are

1410
01:04:47,960 --> 01:04:54,320
Speaker 7: using these Carter Administration vintage. Yeah, and I'm like, every

1411
01:04:54,360 --> 01:04:56,160
Speaker 7: time I see what, I'm like, is the word going

1412
01:04:56,240 --> 01:04:57,480
Speaker 7: to fall off while I'm looking at it?

1413
01:04:57,840 --> 01:05:00,400
Speaker 1: Yeah, it's miraculous that they're still upread. It's like the

1414
01:05:00,480 --> 01:05:04,240
Speaker 1: trying pictures you see from Havana kept the STUDI Baker

1415
01:05:04,320 --> 01:05:06,480
Speaker 1: going for. We're actually going to sell them to the

1416
01:05:06,560 --> 01:05:07,160
Speaker 1: Cubans next.

1417
01:05:09,000 --> 01:05:11,200
Speaker 2: I'm surprised we haven't threatened to take over there at

1418
01:05:11,240 --> 01:05:14,080
Speaker 2: this point, but I have anybody, I think they've already

1419
01:05:14,160 --> 01:05:14,600
Speaker 2: had it.

1420
01:05:14,720 --> 01:05:16,840
Speaker 1: We're going to do a great deal. It doesn't even

1421
01:05:16,880 --> 01:05:19,720
Speaker 1: forget it. Yeah, we hate doing it. I hate doing

1422
01:05:19,760 --> 01:05:20,240
Speaker 1: the voice now.

1423
01:05:20,320 --> 01:05:23,200
Speaker 2: Yeah, the voice is less enjoyable due to the consequences.

1424
01:05:23,640 --> 01:05:25,880
Speaker 2: But have you enjoyed any Is there something you've seen

1425
01:05:25,920 --> 01:05:29,840
Speaker 2: that actually like felt good? I'm really desperate at this point.

1426
01:05:29,920 --> 01:05:32,080
Speaker 2: I'm like, everyone I talked to is just like, well,

1427
01:05:32,120 --> 01:05:34,080
Speaker 2: I saw something that worked. Well.

1428
01:05:34,200 --> 01:05:35,840
Speaker 7: Yeah, So there's a lot of junk. There's a lot

1429
01:05:35,880 --> 01:05:38,240
Speaker 7: of AI slop out there. Like, so I stop by

1430
01:05:38,240 --> 01:05:41,560
Speaker 7: Amazon's booth. They have this feature where you can have

1431
01:05:41,680 --> 01:05:43,880
Speaker 7: your fire TV show art on the wall.

1432
01:05:44,200 --> 01:05:46,040
Speaker 1: Samsung did that with the frame.

1433
01:05:46,160 --> 01:05:47,720
Speaker 2: I've always wanted to put stuff on my wall that

1434
01:05:47,760 --> 01:05:48,160
Speaker 2: looked good.

1435
01:05:48,680 --> 01:05:49,400
Speaker 1: That's a good idea.

1436
01:05:49,520 --> 01:05:49,680
Speaker 4: You know.

1437
01:05:49,760 --> 01:05:52,440
Speaker 1: Here you can go to stores that sell exactly that stuff.

1438
01:05:52,600 --> 01:05:54,760
Speaker 1: That sounds implossible anyway, So you can ask the fire

1439
01:05:54,800 --> 01:05:57,280
Speaker 1: TV to do some art via generative AI.

1440
01:05:57,600 --> 01:05:59,480
Speaker 7: Oh and so that well, okay, I'm going to be

1441
01:05:59,520 --> 01:06:03,080
Speaker 7: a nerd about this. I said, uh, draw a new

1442
01:06:03,160 --> 01:06:07,320
Speaker 7: Glen rocket lifting off from Cape Canaveral in Florida. And

1443
01:06:07,400 --> 01:06:10,480
Speaker 7: the first time I'd heard nuclear rocket. And then it

1444
01:06:10,560 --> 01:06:13,560
Speaker 7: threw this generic rocket Like, okay, at least just not

1445
01:06:14,000 --> 01:06:17,600
Speaker 7: a rocket with a reactor cooling tower attached or whatever.

1446
01:06:17,840 --> 01:06:21,240
Speaker 7: Then I said, it's slower, and that's still through generic rocket.

1447
01:06:21,320 --> 01:06:27,520
Speaker 7: I thought, shouldn't Amazon's AI know about its founder's space company.

1448
01:06:29,000 --> 01:06:30,200
Speaker 2: These things don't know anything.

1449
01:06:30,600 --> 01:06:32,920
Speaker 7: Yeah, people are throwing AI into anything and everything. So

1450
01:06:33,160 --> 01:06:35,720
Speaker 7: see now I'm just complaining about it. Yeah, I'm just

1451
01:06:35,760 --> 01:06:36,919
Speaker 7: gonna stick with that for a little while.

1452
01:06:37,000 --> 01:06:37,439
Speaker 2: That's fine.

1453
01:06:37,600 --> 01:06:40,320
Speaker 7: Delta had this keynote, So this is a mix of

1454
01:06:40,320 --> 01:06:43,320
Speaker 7: a good beat. The production values were nuts. I've never

1455
01:06:43,400 --> 01:06:45,600
Speaker 7: been to this fhere before, right, And so they had

1456
01:06:45,640 --> 01:06:48,440
Speaker 7: this thing at the start where it's the screen that

1457
01:06:48,960 --> 01:06:51,520
Speaker 7: enveloped you goes all around and above and around you.

1458
01:06:51,720 --> 01:06:51,880
Speaker 2: Right.

1459
01:06:52,600 --> 01:06:55,800
Speaker 7: It's a sort of cockpit perspective of taking off down

1460
01:06:55,840 --> 01:06:59,920
Speaker 7: the runway and seeing its speed at you. The subworb

1461
01:07:00,240 --> 01:07:03,320
Speaker 7: in the seats rumble as if you know you're like

1462
01:07:04,640 --> 01:07:07,800
Speaker 7: and they've got these fans blowing wind faster and faster.

1463
01:07:07,760 --> 01:07:09,360
Speaker 2: Exactly like Shrek forty yeah.

1464
01:07:09,520 --> 01:07:12,160
Speaker 7: Yeah, and so the and they had the whole smell

1465
01:07:12,200 --> 01:07:14,240
Speaker 7: of vision feature which I didn't actually know about.

1466
01:07:14,280 --> 01:07:20,280
Speaker 1: G Yeah, that they the guy next to you on

1467
01:07:20,360 --> 01:07:23,160
Speaker 1: the plane, you can smell the awful lasagna that they're serving,

1468
01:07:25,440 --> 01:07:27,520
Speaker 1: even even that's good comfort, plain food.

1469
01:07:29,120 --> 01:07:32,280
Speaker 7: The uber CEO showed up because they're doing a partnership

1470
01:07:32,360 --> 01:07:34,880
Speaker 7: and he had a sort of joke delivery of two

1471
01:07:35,560 --> 01:07:38,600
Speaker 7: hazel net lattes and so that they had the smell

1472
01:07:38,640 --> 01:07:40,880
Speaker 7: of it actually smelled like a good hazel and out

1473
01:07:41,000 --> 01:07:41,680
Speaker 7: caramel latte.

1474
01:07:42,200 --> 01:07:45,840
Speaker 1: And that guy got paid three dollars probably, yes, And

1475
01:07:46,280 --> 01:07:49,280
Speaker 1: the last part was maybe they wouldn't do this now.

1476
01:07:49,480 --> 01:07:52,800
Speaker 7: It was fireworks bursting over downtown l A and the

1477
01:07:53,080 --> 01:07:55,000
Speaker 7: airfield with the sort of smell of gunpowder like you

1478
01:07:55,000 --> 01:07:56,640
Speaker 7: would have actual fireworks.

1479
01:07:57,120 --> 01:07:57,840
Speaker 1: Yeah, they might.

1480
01:07:58,120 --> 01:08:00,280
Speaker 2: One of those poorly timed ones by acts. It didn't

1481
01:08:00,320 --> 01:08:02,960
Speaker 2: seem like a great idea two weeks ago. Yeah, so

1482
01:08:03,720 --> 01:08:04,600
Speaker 2: great stagecraft.

1483
01:08:04,640 --> 01:08:05,320
Speaker 1: It was really neat.

1484
01:08:06,040 --> 01:08:08,760
Speaker 7: But then the announcement they had this Delta concierge, which

1485
01:08:08,800 --> 01:08:11,240
Speaker 7: will be this gen AI assistant in the fly Delta.

1486
01:08:11,360 --> 01:08:13,960
Speaker 1: I held a little bit about this, but I love specifics. Yeah,

1487
01:08:14,000 --> 01:08:15,160
Speaker 1: so I'm an alf geek.

1488
01:08:15,440 --> 01:08:18,080
Speaker 7: I fly a lot, although usually United being based in DC,

1489
01:08:18,880 --> 01:08:22,120
Speaker 7: and they're talking about things like it will suggest alternate ways.

1490
01:08:21,960 --> 01:08:25,120
Speaker 2: To get to the airport, your past, best path to

1491
01:08:25,360 --> 01:08:25,880
Speaker 2: it through it.

1492
01:08:26,479 --> 01:08:27,840
Speaker 1: I thought, is that really Ai?

1493
01:08:28,040 --> 01:08:30,680
Speaker 7: Because like United zapp will say, you know, you can

1494
01:08:30,840 --> 01:08:34,320
Speaker 7: use DSA pre don't take it, the night club is here.

1495
01:08:35,200 --> 01:08:38,160
Speaker 7: I was doing things like it will book an uber

1496
01:08:38,280 --> 01:08:41,160
Speaker 7: for you when you land, which in the example was

1497
01:08:41,240 --> 01:08:44,400
Speaker 7: a woman taking a business class flight to Tokyo, like

1498
01:08:44,680 --> 01:08:46,800
Speaker 7: take the train, man, it's Japan, what are you doing?

1499
01:08:47,360 --> 01:08:51,040
Speaker 2: Take the butt like, but also you can also just

1500
01:08:51,120 --> 01:08:52,720
Speaker 2: do this by using your finger.

1501
01:08:53,040 --> 01:08:56,920
Speaker 7: Right, Yeah, And it's all these contribed examples, and of

1502
01:08:57,000 --> 01:08:59,800
Speaker 7: course obviously you can't talk about a on airlines without

1503
01:09:00,360 --> 01:09:02,840
Speaker 7: air Canada had a chatbot which made up a customer

1504
01:09:02,880 --> 01:09:03,599
Speaker 7: service which.

1505
01:09:03,560 --> 01:09:06,360
Speaker 1: Wasn't even GPT by the way, it wasn't even who

1506
01:09:07,520 --> 01:09:10,560
Speaker 1: I've been over this one because people really want to

1507
01:09:10,600 --> 01:09:11,040
Speaker 1: make this one.

1508
01:09:11,240 --> 01:09:12,960
Speaker 2: No, it's gonna be shit in the future, not in

1509
01:09:13,000 --> 01:09:13,360
Speaker 2: the past.

1510
01:09:13,720 --> 01:09:15,600
Speaker 7: Yeah, and so I'm like, there's lots of ways this

1511
01:09:15,680 --> 01:09:17,960
Speaker 7: could go bad, and the actual example seem kind of

1512
01:09:18,120 --> 01:09:21,720
Speaker 7: you know, are you sure this isn't just software but.

1513
01:09:21,760 --> 01:09:23,799
Speaker 2: Also not that exciting or useful.

1514
01:09:24,400 --> 01:09:28,080
Speaker 7: Yeah, you know, I'm like, I'm thinking areas where I

1515
01:09:28,120 --> 01:09:31,320
Speaker 7: could use help. AI would be useful if when, like

1516
01:09:31,360 --> 01:09:33,640
Speaker 7: your flight gets canceled, or if you were trying to

1517
01:09:33,720 --> 01:09:36,360
Speaker 7: fly here on Monday when there was a snowstorm in DC,

1518
01:09:37,880 --> 01:09:41,479
Speaker 7: evaluate my options, what's the best chances of me getting here?

1519
01:09:42,040 --> 01:09:44,679
Speaker 2: Yeah, like Flighty, which is one of the best apps

1520
01:09:44,720 --> 01:09:47,599
Speaker 2: of all time. Flighty is just what if an air

1521
01:09:48,000 --> 01:09:52,240
Speaker 2: a flight tracking piece of software worked, it will tell you.

1522
01:09:52,360 --> 01:09:54,439
Speaker 2: It will tell you, usually more reliably, whether your flight

1523
01:09:54,520 --> 01:09:57,680
Speaker 2: is being moved or canceled. But Delta appears to have

1524
01:09:57,760 --> 01:09:59,880
Speaker 2: come up with a new idea which is less you.

1525
01:10:01,479 --> 01:10:03,560
Speaker 7: Yeah, you know, they're they're talking about they're going to

1526
01:10:03,600 --> 01:10:06,240
Speaker 7: have YouTube clips curated in the Seatbeck Entertainment.

1527
01:10:06,479 --> 01:10:08,719
Speaker 2: That's fine. I never know one what's on YouTube?

1528
01:10:09,720 --> 01:10:12,120
Speaker 7: You know, the the Uber partnership, a lot of it

1529
01:10:12,280 --> 01:10:14,599
Speaker 7: was just a whole lot of stagecraft and apparently didn't

1530
01:10:14,600 --> 01:10:17,600
Speaker 7: go overwhell on the YouTube stream. In the audience it

1531
01:10:17,680 --> 01:10:19,920
Speaker 7: was it was a lot of Delta employees, so it

1532
01:10:20,040 --> 01:10:23,360
Speaker 7: was a big love fest for all the Delta employees.

1533
01:10:23,400 --> 01:10:25,040
Speaker 7: So I guess really do like their CEO, which you

1534
01:10:25,080 --> 01:10:27,160
Speaker 7: cannot count on in the airline industry.

1535
01:10:27,400 --> 01:10:30,360
Speaker 2: Right, well, they were probably worried to not like miss me.

1536
01:10:30,960 --> 01:10:32,519
Speaker 1: I don't know, I don't spend enough time on the airline.

1537
01:10:32,640 --> 01:10:33,479
Speaker 1: Was he a real showman?

1538
01:10:33,840 --> 01:10:38,600
Speaker 2: You guys at Bastion and he's not enough, He's not

1539
01:10:38,760 --> 01:10:39,920
Speaker 2: like a natural at it.

1540
01:10:40,560 --> 01:10:44,560
Speaker 7: But he didn't seem like overwhelmed or you know, like

1541
01:10:44,640 --> 01:10:47,160
Speaker 7: I've seen a lot of musket of keynotes not what

1542
01:10:47,240 --> 01:10:47,519
Speaker 7: you want.

1543
01:10:47,760 --> 01:10:51,200
Speaker 1: No, well even less these days. Yeah, well that's true. Yeah,

1544
01:10:51,800 --> 01:10:54,920
Speaker 1: just form and content being separated in this right, Yes,

1545
01:10:55,160 --> 01:10:57,200
Speaker 1: form content, substance, style, et cetera.

1546
01:10:57,240 --> 01:10:58,519
Speaker 2: What was Lenny Kravitz like?

1547
01:10:58,840 --> 01:10:59,320
Speaker 1: He was good?

1548
01:10:59,640 --> 01:11:05,040
Speaker 2: Like I not seen him play before he plays circus him? Yeah, no,

1549
01:11:05,280 --> 01:11:06,080
Speaker 2: It started out with.

1550
01:11:06,200 --> 01:11:07,680
Speaker 1: Are you Gonna Go My Way? And of course the

1551
01:11:08,120 --> 01:11:09,959
Speaker 1: closing song was fly away.

1552
01:11:10,400 --> 01:11:10,920
Speaker 2: Gotta do That.

1553
01:11:11,360 --> 01:11:13,439
Speaker 1: How many songs did he play? Was it like forty

1554
01:11:13,479 --> 01:11:15,519
Speaker 1: five minutes? It was like, you know, that's actually a

1555
01:11:15,640 --> 01:11:17,680
Speaker 1: decent set, you got, like a festival set. I mean,

1556
01:11:17,880 --> 01:11:19,960
Speaker 1: I was glad it was that short because they did

1557
01:11:20,080 --> 01:11:21,400
Speaker 1: have to go on to the next and you're in

1558
01:11:21,520 --> 01:11:21,800
Speaker 1: the pit.

1559
01:11:23,000 --> 01:11:23,120
Speaker 4: Uh.

1560
01:11:23,360 --> 01:11:25,880
Speaker 1: Now, the press seeds were in like the two hundred level.

1561
01:11:26,880 --> 01:11:28,880
Speaker 1: Those are actually really good. I watched the NHL with

1562
01:11:29,000 --> 01:11:31,680
Speaker 1: draw off there and it was really cool. Like the

1563
01:11:31,760 --> 01:11:33,439
Speaker 1: sphere is objectively cool.

1564
01:11:34,040 --> 01:11:34,200
Speaker 2: Yeah.

1565
01:11:34,280 --> 01:11:36,720
Speaker 7: So my the parts of CS have enjoyed the most

1566
01:11:36,800 --> 01:11:38,840
Speaker 7: are the unusual experiences the sphere.

1567
01:11:39,400 --> 01:11:42,400
Speaker 1: Uh. Sunday afternoon, I had a ride in a Zeke's ROBOTAXI.

1568
01:11:42,680 --> 01:11:44,080
Speaker 2: How was that pretty cool?

1569
01:11:45,160 --> 01:11:45,719
Speaker 1: Very smooth.

1570
01:11:45,760 --> 01:11:48,599
Speaker 7: In general, it gets a little skittish around traffic hones.

1571
01:11:48,960 --> 01:11:50,800
Speaker 7: And we had this part at the end which there

1572
01:11:50,800 --> 01:11:54,160
Speaker 7: were a lot because you all apparently never stop repaving

1573
01:11:54,280 --> 01:11:55,320
Speaker 7: or rebuilding the streets.

1574
01:11:55,400 --> 01:11:58,080
Speaker 2: Yeah yeah, but Constance Day of Chaos. Yeah.

1575
01:11:58,200 --> 01:12:01,760
Speaker 7: And so this one road there was a lane row

1576
01:12:01,760 --> 01:12:04,759
Speaker 7: of traffic cones, a lane another row of traffic cones,

1577
01:12:05,320 --> 01:12:08,200
Speaker 7: car drives between the two of them and stops as

1578
01:12:08,280 --> 01:12:10,439
Speaker 7: if it's just been like, uh.

1579
01:12:11,320 --> 01:12:14,479
Speaker 1: Now, yeah, this seems like you got the actual robotaxi experience.

1580
01:12:14,520 --> 01:12:17,280
Speaker 7: And so then apparently there's some sort of overseer who

1581
01:12:17,280 --> 01:12:20,040
Speaker 7: could say you can back up. And so for people

1582
01:12:20,040 --> 01:12:23,160
Speaker 7: who haven't seen this, this is a pure robotaxi.

1583
01:12:23,200 --> 01:12:23,559
Speaker 2: It's not a.

1584
01:12:23,600 --> 01:12:27,760
Speaker 7: Converted car or anything. I was like a Jaguar with

1585
01:12:28,080 --> 01:12:31,000
Speaker 7: its two seats on each side facing each other. There's

1586
01:12:31,040 --> 01:12:34,040
Speaker 7: no front or back end. There's an engine over that's

1587
01:12:34,120 --> 01:12:39,800
Speaker 7: kind of over both sets of yeah, and so it

1588
01:12:39,880 --> 01:12:43,720
Speaker 7: can reverse front end becomes the back end.

1589
01:12:43,760 --> 01:12:44,040
Speaker 2: Whatever.

1590
01:12:44,680 --> 01:12:47,120
Speaker 7: We backed up, went into an little lane. It was fine,

1591
01:12:47,800 --> 01:12:50,200
Speaker 7: and we had a couple of moments where people looked

1592
01:12:50,200 --> 01:12:52,439
Speaker 7: at it. You know, if you're in a robo taxi,

1593
01:12:53,160 --> 01:12:55,519
Speaker 7: there are these rockstar moments where people have like, is

1594
01:12:55,600 --> 01:12:57,680
Speaker 7: that what I think it is? So this kind of

1595
01:12:57,720 --> 01:13:00,559
Speaker 7: tesla starts doing video of us how to stop mind

1596
01:13:00,640 --> 01:13:04,479
Speaker 7: you not driving? This couple in a jeep were like

1597
01:13:04,560 --> 01:13:07,240
Speaker 7: waving high. They were rolling down in the window. But

1598
01:13:07,479 --> 01:13:10,040
Speaker 7: you can't up in the window on a zooke.

1599
01:13:10,400 --> 01:13:12,960
Speaker 2: On the how big get held up a side actually.

1600
01:13:12,760 --> 01:13:14,920
Speaker 1: Just like thumbs up. Can't get out.

1601
01:13:15,360 --> 01:13:16,360
Speaker 2: Yes, uh.

1602
01:13:16,520 --> 01:13:19,240
Speaker 7: And Monday afternoon I took a little field trip to

1603
01:13:19,320 --> 01:13:22,320
Speaker 7: Lake Mead Rhyme this company called ARC the.

1604
01:13:22,360 --> 01:13:23,280
Speaker 2: Electric boat show.

1605
01:13:23,720 --> 01:13:26,800
Speaker 7: Yes, tell us about battery electric Yeah, and that thing

1606
01:13:26,840 --> 01:13:28,160
Speaker 7: halls ass that's cool.

1607
01:13:28,479 --> 01:13:32,600
Speaker 1: Yeah, And apparently I I'm not a boat guy like

1608
01:13:33,040 --> 01:13:36,639
Speaker 1: I like other people's boats, right, I had not looked

1609
01:13:36,720 --> 01:13:40,920
Speaker 1: up winterization checklists for boats. You don't want to do that.

1610
01:13:41,080 --> 01:13:43,120
Speaker 1: It's a whole lot of work if you have a

1611
01:13:43,240 --> 01:13:43,920
Speaker 1: gas engine.

1612
01:13:44,040 --> 01:13:45,840
Speaker 2: And this is why I don't have a boat. Yeah.

1613
01:13:45,960 --> 01:13:49,000
Speaker 7: Well, also, this thing is like it will cost two

1614
01:13:49,120 --> 01:13:52,960
Speaker 7: hundred and fifty eight thousand dollars, I think, Yeah, I

1615
01:13:53,040 --> 01:13:53,320
Speaker 7: don't know.

1616
01:13:53,360 --> 01:13:56,040
Speaker 2: What boats cost my regular series of boats.

1617
01:13:56,280 --> 01:13:58,439
Speaker 1: I prefer boat as a service where somebody else.

1618
01:13:58,479 --> 01:14:03,560
Speaker 2: You know, that was quite literally a twenty thirteen aristotical

1619
01:14:03,640 --> 01:14:07,120
Speaker 2: boat bound, I believe. Sure, why not sounds it actually existed.

1620
01:14:08,640 --> 01:14:11,240
Speaker 2: Pray for the end anyway, but it sounds like the

1621
01:14:11,400 --> 01:14:13,479
Speaker 2: fast electric boat was fun at least.

1622
01:14:13,600 --> 01:14:16,880
Speaker 7: Yeah, and you know the whole way, we're finding ways

1623
01:14:16,920 --> 01:14:19,120
Speaker 7: to electrify all these different modes of transit.

1624
01:14:19,200 --> 01:14:21,560
Speaker 2: That's good. Yeah, that's good and useful stuff. How do

1625
01:14:21,600 --> 01:14:22,760
Speaker 2: you charge that thing? Though?

1626
01:14:23,560 --> 01:14:23,800
Speaker 1: Same?

1627
01:14:24,080 --> 01:14:28,000
Speaker 7: It's actually the same kind of plug on most non

1628
01:14:28,120 --> 01:14:32,320
Speaker 7: Tesla evs, the J seventeen seventy two slow charging.

1629
01:14:32,400 --> 01:14:33,639
Speaker 2: How does that do with water?

1630
01:14:34,360 --> 01:14:37,280
Speaker 1: It's all sealed, so the whole thing, Yeah, the batteries

1631
01:14:37,280 --> 01:14:40,920
Speaker 1: in a silk compartment. The plug itself is at.

1632
01:14:40,960 --> 01:14:45,439
Speaker 7: Like the top of the hole you step over at boarding, right,

1633
01:14:45,800 --> 01:14:47,800
Speaker 7: And the whole model is this is something built to

1634
01:14:47,880 --> 01:14:52,040
Speaker 7: toe like water skiers. People like surfing on the wake.

1635
01:14:52,520 --> 01:14:55,920
Speaker 7: So you don't spend overnight with it. You do like

1636
01:14:56,200 --> 01:14:59,439
Speaker 7: four to six hours. Everyone is tired, needs a nap

1637
01:15:00,360 --> 01:15:04,040
Speaker 7: dock it, plug it in and slow charging is overtime.

1638
01:15:04,080 --> 01:15:09,760
Speaker 7: It's fine, right, but it worked though, yes, actual and

1639
01:15:09,920 --> 01:15:12,599
Speaker 7: also like just pulling out in the no wake zone

1640
01:15:12,600 --> 01:15:15,200
Speaker 7: on the lake really quiet and there's no smell of

1641
01:15:15,280 --> 01:15:19,320
Speaker 7: gasoline like regular boats there there make a certain amount

1642
01:15:19,320 --> 01:15:21,639
Speaker 7: of noise efficient engine stretch.

1643
01:15:22,160 --> 01:15:26,000
Speaker 2: So Ed David, you went to the Venetian expoe and

1644
01:15:26,040 --> 01:15:28,599
Speaker 2: you went down to the Eureka zone. Yes, real toilet.

1645
01:15:29,200 --> 01:15:30,800
Speaker 1: I was there earlier today.

1646
01:15:31,120 --> 01:15:33,800
Speaker 2: What did you fellas see? What wonders did you?

1647
01:15:34,800 --> 01:15:36,960
Speaker 1: I thought it would be weirder than it was. It

1648
01:15:37,080 --> 01:15:39,320
Speaker 1: really is disappointed. I've seen weirder stuff there. Yeah, yeah,

1649
01:15:39,400 --> 01:15:41,000
Speaker 1: that was prepared to go down there, and it was

1650
01:15:41,080 --> 01:15:43,640
Speaker 1: just going to be like a hair dryer that's been

1651
01:15:43,680 --> 01:15:46,720
Speaker 1: trained to scream at you. You know, it's just like

1652
01:15:46,880 --> 01:15:50,760
Speaker 1: the nonsense tech sold to you by media. Let me

1653
01:15:50,800 --> 01:15:52,639
Speaker 1: look at your my nose to see if anything sort

1654
01:15:52,680 --> 01:15:54,759
Speaker 1: of jumped out. But we had I think the biggest

1655
01:15:54,840 --> 01:15:56,720
Speaker 1: challenge for us, and this is maybe it's my sense

1656
01:15:56,760 --> 01:16:01,920
Speaker 1: of direction issue, is just finding stuff that like there's

1657
01:16:02,280 --> 01:16:04,040
Speaker 1: multiple food courts and then there's a lot of like

1658
01:16:04,240 --> 01:16:07,240
Speaker 1: country type zones. Yes, the French tech one is the

1659
01:16:07,320 --> 01:16:10,160
Speaker 1: single biggest occupent of space. Yeah, yeah, it was. I mean,

1660
01:16:10,240 --> 01:16:12,360
Speaker 1: like some of the stuff I saw I was like

1661
01:16:12,439 --> 01:16:13,280
Speaker 1: boring but useful.

1662
01:16:13,320 --> 01:16:16,120
Speaker 7: There was some French startup They make a little pogystick

1663
01:16:16,160 --> 01:16:19,200
Speaker 7: on the floor of a garage to tell you is

1664
01:16:19,280 --> 01:16:21,960
Speaker 7: this an ice car or an EV? Has the EV

1665
01:16:22,120 --> 01:16:25,120
Speaker 7: been there too long? And ice means in term of question, yeah,

1666
01:16:26,160 --> 01:16:29,639
Speaker 7: which you know, boring but useful. Yeah, probably need that, Yeah,

1667
01:16:29,840 --> 01:16:32,719
Speaker 7: but nothing really weird and fun.

1668
01:16:32,920 --> 01:16:35,800
Speaker 1: It was weird I saw I had I don't try

1669
01:16:35,840 --> 01:16:39,320
Speaker 1: to gas you up here on the podcast as an

1670
01:16:39,320 --> 01:16:43,320
Speaker 1: actual journalist watching you ask good questions of people that

1671
01:16:43,439 --> 01:16:46,240
Speaker 1: were we were sort of wandering around the like accessibility

1672
01:16:46,320 --> 01:16:50,400
Speaker 1: tech h area, and that stuff is like kind of

1673
01:16:50,520 --> 01:16:53,439
Speaker 1: hard to parse in some ways because it's like it

1674
01:16:53,520 --> 01:16:57,000
Speaker 1: seems useful to me. I don't have limited mobility, right,

1675
01:16:57,040 --> 01:16:58,640
Speaker 1: and it does have that sort of veneer of it,

1676
01:16:58,760 --> 01:17:01,240
Speaker 1: and yet you were able to and I don't. I

1677
01:17:01,240 --> 01:17:03,519
Speaker 1: don't want to make you like break down your own

1678
01:17:03,640 --> 01:17:08,960
Speaker 1: tape here like it's John Gruden's Quarterback Club.

1679
01:17:09,360 --> 01:17:12,000
Speaker 2: But well, I think that's one major reason why that would.

1680
01:17:11,880 --> 01:17:14,439
Speaker 1: Well, right, But in this case, it's like you asked

1681
01:17:14,640 --> 01:17:18,439
Speaker 1: a series of questions about that the like bluetooth earpiece

1682
01:17:18,479 --> 01:17:20,320
Speaker 1: thing that I found like really illuminating in terms of

1683
01:17:20,400 --> 01:17:21,679
Speaker 1: like all stuff gets sold.

1684
01:17:21,760 --> 01:17:22,880
Speaker 2: Yeah, yeah, yeah.

1685
01:17:22,960 --> 01:17:26,320
Speaker 6: So we there's a section of the area that was

1686
01:17:26,400 --> 01:17:30,559
Speaker 6: for digital health, and some of it was for people

1687
01:17:30,600 --> 01:17:33,640
Speaker 6: who are unable to use their arms, and so you

1688
01:17:33,880 --> 01:17:36,920
Speaker 6: want to give them some tech that they can put

1689
01:17:36,960 --> 01:17:39,559
Speaker 6: in their ear or somewhere close enough to the jaw

1690
01:17:39,640 --> 01:17:43,280
Speaker 6: so that when they clenched that can be assistive and

1691
01:17:43,439 --> 01:17:45,760
Speaker 6: be used in place of their arms. When we first

1692
01:17:45,800 --> 01:17:48,040
Speaker 6: approached one of the boots, the guy was pitching it

1693
01:17:48,280 --> 01:17:52,320
Speaker 6: as something that would be useful immediately in retail. Let's

1694
01:17:52,320 --> 01:17:54,120
Speaker 6: say you're at like a fast food restaurant or at

1695
01:17:54,200 --> 01:17:56,880
Speaker 6: some sort of store and you are unable to use

1696
01:17:56,880 --> 01:17:59,960
Speaker 6: your hands because you're doing another task. You can you know,

1697
01:18:00,240 --> 01:18:02,240
Speaker 6: clench your jaw or use it in a certain way.

1698
01:18:02,280 --> 01:18:04,240
Speaker 6: And he was talking about how you know, these firms

1699
01:18:04,439 --> 01:18:08,360
Speaker 6: love their product because they are able to have the workers.

1700
01:18:08,000 --> 01:18:09,920
Speaker 2: You know, do multiple task at once perfect.

1701
01:18:10,160 --> 01:18:11,880
Speaker 6: And then we talked to the product guy and it

1702
01:18:12,000 --> 01:18:15,680
Speaker 6: there's actually there's nothing. There's no real product. It's in development,

1703
01:18:16,280 --> 01:18:19,640
Speaker 6: and the core concerned is accessibility, which makes sense, like

1704
01:18:20,000 --> 01:18:22,920
Speaker 6: it is people who are not able bodied, and that

1705
01:18:23,040 --> 01:18:24,320
Speaker 6: all this other stuff.

1706
01:18:24,240 --> 01:18:27,840
Speaker 2: Is uh proposed.

1707
01:18:28,520 --> 01:18:31,280
Speaker 6: It feels as if a way to attract investments so

1708
01:18:31,360 --> 01:18:32,759
Speaker 6: that they can do the core thing that they actually

1709
01:18:32,760 --> 01:18:34,760
Speaker 6: would do, which is one would hope, yeah, you know,

1710
01:18:34,880 --> 01:18:37,400
Speaker 6: I would hope so or it could be reversed, which

1711
01:18:37,479 --> 01:18:41,800
Speaker 6: is that you are developing something that is clear, concrete

1712
01:18:42,360 --> 01:18:46,799
Speaker 6: and and has a definite use case, but then pitching

1713
01:18:46,880 --> 01:18:50,200
Speaker 6: investors the much more speculative and spurious thing so that

1714
01:18:50,320 --> 01:18:53,360
Speaker 6: you can scale up and build and never really eventually

1715
01:18:53,640 --> 01:18:56,519
Speaker 6: land there, but keep you know, pulling in funds.

1716
01:18:56,640 --> 01:19:02,320
Speaker 1: Interesting also, it was interesting to me about that, like

1717
01:19:02,479 --> 01:19:04,920
Speaker 1: tonally and we were talking about this the difference in

1718
01:19:04,960 --> 01:19:07,320
Speaker 1: the approach between like the marketing guy who like kind

1719
01:19:07,320 --> 01:19:09,600
Speaker 1: of knew some stuff but was mostly just like a

1720
01:19:09,720 --> 01:19:12,840
Speaker 1: goofball Canadian dude, yeah, and then the product guy, who

1721
01:19:13,120 --> 01:19:14,760
Speaker 1: was more or less able to be like not only

1722
01:19:14,840 --> 01:19:17,240
Speaker 1: in the sense that one guy's like, we've already got

1723
01:19:17,280 --> 01:19:20,880
Speaker 1: a prominent fast food place that's like ready to place

1724
01:19:20,920 --> 01:19:23,240
Speaker 1: in order, so like act now, and then the other

1725
01:19:23,360 --> 01:19:25,439
Speaker 1: dude was just sort of once you got into the

1726
01:19:26,000 --> 01:19:27,759
Speaker 1: like as you were saying, like for the accessibility stuff,

1727
01:19:27,800 --> 01:19:30,000
Speaker 1: like it more or less makes sense, Like there's the

1728
01:19:30,120 --> 01:19:32,960
Speaker 1: things that you'd be doing with it, are you know,

1729
01:19:33,000 --> 01:19:35,360
Speaker 1: which is basically it's like a very small facial gesture.

1730
01:19:35,400 --> 01:19:38,400
Speaker 2: What they can do things actually do, Like what are

1731
01:19:38,400 --> 01:19:39,520
Speaker 2: the commands.

1732
01:19:39,439 --> 01:19:43,320
Speaker 6: So in conjunction with moving your hand or maybe tilting

1733
01:19:43,360 --> 01:19:46,640
Speaker 6: to get it with some sort of micro expressions or

1734
01:19:46,840 --> 01:19:51,080
Speaker 6: small gestures, with clenching your joy be able to move cursors, click,

1735
01:19:51,560 --> 01:19:54,400
Speaker 6: you know, very simple commands. But the way that the

1736
01:19:54,520 --> 01:19:56,479
Speaker 6: marketing guy was talking about it was as if you

1737
01:19:56,479 --> 01:20:00,639
Speaker 6: would be able to immediately as someone's making order, parsed

1738
01:20:00,720 --> 01:20:04,760
Speaker 6: through a menu or a screen faster than you could

1739
01:20:04,800 --> 01:20:05,360
Speaker 6: tactile and.

1740
01:20:05,360 --> 01:20:08,479
Speaker 1: Then like make change. Yeah, right, and so the product

1741
01:20:08,520 --> 01:20:10,400
Speaker 1: guy was basically like the way that he explained it,

1742
01:20:10,439 --> 01:20:12,519
Speaker 1: which I thought was like pretty honest, was like, you know,

1743
01:20:13,120 --> 01:20:16,960
Speaker 1: so it's like building like a sort of a user interface,

1744
01:20:17,000 --> 01:20:19,680
Speaker 1: and like theoretically you could get really complex with it.

1745
01:20:19,840 --> 01:20:21,320
Speaker 1: You know that it could all of these could be

1746
01:20:21,360 --> 01:20:24,599
Speaker 1: different applications. But at some point you're making a lot

1747
01:20:24,640 --> 01:20:27,280
Speaker 1: of expressions and you're like moving your nose very slightly

1748
01:20:27,360 --> 01:20:30,560
Speaker 1: because you're basically like scrolling through this long series of

1749
01:20:30,640 --> 01:20:32,680
Speaker 1: options so that you can select that this person is

1750
01:20:32,840 --> 01:20:36,000
Speaker 1: trying to get like a four piece box, right, you know,

1751
01:20:36,280 --> 01:20:39,160
Speaker 1: and like he you know, obviously he was like professional,

1752
01:20:39,240 --> 01:20:42,800
Speaker 1: He wasn't like that's a stupid use for this technology.

1753
01:20:43,280 --> 01:20:44,760
Speaker 1: But it was the sort of thing where you could

1754
01:20:44,800 --> 01:20:49,040
Speaker 1: see how like that is not just like sort of

1755
01:20:49,280 --> 01:20:52,120
Speaker 1: harder and like further down the line, it's also like

1756
01:20:53,240 --> 01:20:55,600
Speaker 1: it's hard to make something that is designed to be

1757
01:20:55,680 --> 01:20:58,400
Speaker 1: one thing do something else, Like theoretically it could happen.

1758
01:20:58,479 --> 01:21:00,439
Speaker 2: It sounds like it sounds like it isn't designed for

1759
01:21:00,560 --> 01:21:03,960
Speaker 2: anything because it doesn't exist. Yeah, that's the other It

1760
01:21:03,960 --> 01:21:06,280
Speaker 2: doesn't sound like they've tried it, Like they didn't even

1761
01:21:06,320 --> 01:21:07,920
Speaker 2: have a protest when we talked about it.

1762
01:21:07,960 --> 01:21:13,000
Speaker 6: They said they were in late stage prototype development with partners,

1763
01:21:13,880 --> 01:21:16,280
Speaker 6: and tried to press them on what them doesn't seem.

1764
01:21:16,120 --> 01:21:22,040
Speaker 1: Like cover of Multitude, Yeah, exactly is there like yeah

1765
01:21:22,400 --> 01:21:25,439
Speaker 1: the PR guy Yeah no, no, So speaking to that,

1766
01:21:25,520 --> 01:21:27,799
Speaker 1: I can actually speak to this. Nothing exists.

1767
01:21:28,080 --> 01:21:30,320
Speaker 2: In my opinion. This is my professional opinion, not having

1768
01:21:30,400 --> 01:21:33,040
Speaker 2: seen it, but anytime, and I don't work, never work

1769
01:21:33,080 --> 01:21:35,840
Speaker 2: with clients like this. I think the time I stop

1770
01:21:36,000 --> 01:21:37,760
Speaker 2: was in like twenty fourteen when I had my first

1771
01:21:37,800 --> 01:21:41,240
Speaker 2: client that just had something completely fucking made up and

1772
01:21:41,600 --> 01:21:44,479
Speaker 2: like the fit. They had a thing like a nutrition thing.

1773
01:21:44,520 --> 01:21:46,640
Speaker 2: I'm being as vague as possible, and it's set on

1774
01:21:46,800 --> 01:21:50,160
Speaker 2: fire during a demo, which is traditionally not a great

1775
01:21:50,280 --> 01:21:53,360
Speaker 2: nutrition thing. I guess if you're eating something. Nevertheless, that

1776
01:21:53,439 --> 01:21:57,080
Speaker 2: was them like, I need up the quality control because

1777
01:21:57,240 --> 01:22:01,720
Speaker 2: if they're saying yet late stage prototype development. Yeah, that

1778
01:22:01,840 --> 01:22:04,559
Speaker 2: phrase has been through a few people, none of them lawyers. Yeah,

1779
01:22:04,560 --> 01:22:06,439
Speaker 2: because the lawyer would be like, don't say, don't say.

1780
01:22:06,439 --> 01:22:09,720
Speaker 1: It's kind of a lot of words. It is taken

1781
01:22:09,960 --> 01:22:12,160
Speaker 1: a long time for you to say that you don't

1782
01:22:12,240 --> 01:22:15,479
Speaker 1: have a thing, yeah, like there's nothing to use. And

1783
01:22:15,600 --> 01:22:18,440
Speaker 1: if they're saying if they had the way around.

1784
01:22:18,200 --> 01:22:20,439
Speaker 2: That professionally is you actually have a video of someone

1785
01:22:20,560 --> 01:22:22,479
Speaker 2: using it and you they go, well, we'll do rendering

1786
01:22:22,520 --> 01:22:24,400
Speaker 2: you like no, no, yeah, no, no, no, there's none

1787
01:22:24,439 --> 01:22:24,560
Speaker 2: of that.

1788
01:22:24,640 --> 01:22:27,680
Speaker 6: All that was was it felt like there was an

1789
01:22:27,720 --> 01:22:30,400
Speaker 6: earpiece that someone had, but there were no efforts or

1790
01:22:30,840 --> 01:22:36,080
Speaker 6: you know, attempt to demonstrate it and purely uh sort

1791
01:22:36,120 --> 01:22:39,679
Speaker 6: of like the X ray blue outline of a body

1792
01:22:40,479 --> 01:22:44,799
Speaker 6: illustrations illuminating what muscle groups would be used when clenching

1793
01:22:44,880 --> 01:22:46,080
Speaker 6: your jaw, which is.

1794
01:22:46,600 --> 01:22:50,200
Speaker 2: These also feel like very different use cases because the

1795
01:22:50,280 --> 01:22:54,080
Speaker 2: experience of I imagine not having arms, like not not

1796
01:22:54,200 --> 01:22:56,719
Speaker 2: actually being able to move one's body and the things

1797
01:22:56,760 --> 01:22:59,000
Speaker 2: you would need to do as a result a vastly

1798
01:22:59,080 --> 01:23:02,120
Speaker 2: different to someone who doesn't have the hands free. On

1799
01:23:02,240 --> 01:23:07,240
Speaker 2: top of that, people have different sized faces. That's yeah.

1800
01:23:07,400 --> 01:23:09,160
Speaker 6: We talked about this a bit where it's like, you

1801
01:23:09,240 --> 01:23:11,839
Speaker 6: know what you would need to do to be able

1802
01:23:12,000 --> 01:23:19,960
Speaker 6: to with micro expressions muscles whatever outpace tactile manipulation or

1803
01:23:20,400 --> 01:23:21,800
Speaker 6: do it fast enough where you could do it and

1804
01:23:22,160 --> 01:23:23,400
Speaker 6: have it as a secondary task.

1805
01:23:23,600 --> 01:23:25,600
Speaker 2: I mean we're getting.

1806
01:23:25,360 --> 01:23:27,360
Speaker 6: Into like sci fi territory at that point, because you

1807
01:23:27,439 --> 01:23:29,559
Speaker 6: need to be able to create some sort of design

1808
01:23:29,640 --> 01:23:33,759
Speaker 6: that you know, it would distinguish between all these gestures,

1809
01:23:33,880 --> 01:23:36,439
Speaker 6: be able to immediately and reliably one hundred percent of

1810
01:23:36,479 --> 01:23:38,880
Speaker 6: the time get them to get to there, and be

1811
01:23:38,920 --> 01:23:43,240
Speaker 6: able to internally manipulate them with thought because this is

1812
01:23:43,280 --> 01:23:45,880
Speaker 6: also a non invasive alternative to brain implants, So it

1813
01:23:45,960 --> 01:23:49,479
Speaker 6: has to somehow create a mental schema that's one to

1814
01:23:49,640 --> 01:23:55,320
Speaker 6: one matching with gestures movements. You know, we're getting into

1815
01:23:55,439 --> 01:23:58,839
Speaker 6: territory where each step is less and less peasible.

1816
01:23:58,960 --> 01:24:03,439
Speaker 2: Even say how they would receive the signals? Would it

1817
01:24:03,520 --> 01:24:05,599
Speaker 2: be uh? What did they say?

1818
01:24:05,840 --> 01:24:05,960
Speaker 5: Uh?

1819
01:24:06,400 --> 01:24:10,120
Speaker 1: E M it was e emg's which was I don't

1820
01:24:10,120 --> 01:24:14,680
Speaker 1: remember that sounded for Honestly, it seemed legit enough to me,

1821
01:24:14,880 --> 01:24:18,120
Speaker 1: again as a simpleton, I also invested three hundred million dollars.

1822
01:24:18,160 --> 01:24:20,160
Speaker 2: I mean, we all will.

1823
01:24:20,680 --> 01:24:23,240
Speaker 1: But the there it was like one of those things

1824
01:24:23,240 --> 01:24:27,120
Speaker 1: where like more or less the technology seemed to make sense,

1825
01:24:27,160 --> 01:24:29,080
Speaker 1: the usage didn't seem to make sense. Like I believe

1826
01:24:29,160 --> 01:24:33,240
Speaker 1: that there is probably like high level engineering that could

1827
01:24:33,320 --> 01:24:35,280
Speaker 1: make something like this work. I don't think that there's

1828
01:24:35,320 --> 01:24:39,520
Speaker 1: anything that's like gonna make it work for Wendy's.

1829
01:24:40,800 --> 01:24:42,519
Speaker 7: But that was also one example, I think of what

1830
01:24:42,600 --> 01:24:45,000
Speaker 7: there I've seen I think two different companies doing some

1831
01:24:45,320 --> 01:24:48,120
Speaker 7: some kind of powered exoskeleton, and it is it will

1832
01:24:48,160 --> 01:24:48,760
Speaker 7: help you hike.

1833
01:24:49,280 --> 01:24:51,400
Speaker 2: Oh I will. I want the rubboat sit like one.

1834
01:24:51,439 --> 01:24:53,840
Speaker 1: My thought is if you can do that and so

1835
01:24:54,120 --> 01:24:57,880
Speaker 1: it works naturally with you, not like against you. You know,

1836
01:24:58,000 --> 01:24:59,800
Speaker 1: older people who might have be a.

1837
01:24:59,840 --> 01:25:03,560
Speaker 7: Risk falling, which one thing I've learned from having you know,

1838
01:25:03,760 --> 01:25:06,439
Speaker 7: ask anyone who's got a little relatives. Gravity can kind

1839
01:25:06,479 --> 01:25:08,800
Speaker 7: of be terrible for older people. And yeah, that's why

1840
01:25:08,880 --> 01:25:10,960
Speaker 7: that's what We're going to retire to a space station

1841
01:25:11,080 --> 01:25:12,280
Speaker 7: if I can afford them.

1842
01:25:13,400 --> 01:25:15,320
Speaker 1: But yeah, that's It's interesting also how you'd market it,

1843
01:25:15,360 --> 01:25:17,880
Speaker 1: because I did see those that was yesterday. I saw

1844
01:25:17,960 --> 01:25:21,439
Speaker 1: that and it was definitely sort of like a lifestyle enhancer.

1845
01:25:21,600 --> 01:25:23,160
Speaker 1: Like the way that they were pitching it was being like,

1846
01:25:23,200 --> 01:25:24,439
Speaker 1: you know, you're gonna be able to hike like you

1847
01:25:24,520 --> 01:25:25,400
Speaker 1: never hiked before.

1848
01:25:26,000 --> 01:25:27,880
Speaker 7: I'm not actually get the tech bro who wants to

1849
01:25:27,960 --> 01:25:30,840
Speaker 7: be like iron Man, right, I'm trying to bet money

1850
01:25:31,000 --> 01:25:34,720
Speaker 7: and use it to then you productize it for a

1851
01:25:34,840 --> 01:25:35,439
Speaker 7: larger market.

1852
01:25:35,680 --> 01:25:35,880
Speaker 2: Yeah.

1853
01:25:36,320 --> 01:25:38,360
Speaker 1: And in this case, it was like the the idea

1854
01:25:38,479 --> 01:25:41,080
Speaker 1: that you had to imagine the larger market because I

1855
01:25:41,120 --> 01:25:44,960
Speaker 1: guess of like how comparatively unglamorous to investors the actual

1856
01:25:45,040 --> 01:25:45,600
Speaker 1: market would be.

1857
01:25:45,600 --> 01:25:48,960
Speaker 2: Pivot. Yeah, So Rob, would you say this is a

1858
01:25:49,120 --> 01:25:50,880
Speaker 2: more bullshit or less bullshit? Yeah?

1859
01:25:51,600 --> 01:25:54,280
Speaker 7: Hm hm, I might say slightly less, like one thing

1860
01:25:56,360 --> 01:25:57,880
Speaker 7: and this is a piece I still needed to do

1861
01:25:57,960 --> 01:26:01,400
Speaker 7: for PC mag AK television. You go back like four

1862
01:26:01,520 --> 01:26:04,639
Speaker 7: years ago or six years everyone was like, well, it's

1863
01:26:04,640 --> 01:26:06,320
Speaker 7: going to be the next four K. I'm like, actually,

1864
01:26:06,320 --> 01:26:08,360
Speaker 7: it's the next three D and full K is yet

1865
01:26:08,400 --> 01:26:11,360
Speaker 7: to be the next four K. It's it's become a

1866
01:26:11,479 --> 01:26:15,280
Speaker 7: sort of pyrrhic victory for the industry. They got it adopted.

1867
01:26:15,360 --> 01:26:17,559
Speaker 7: It's in any set you'd buy bigger than like forty

1868
01:26:17,600 --> 01:26:20,679
Speaker 7: two inches. But because everybody's doing it, there's no profit

1869
01:26:20,800 --> 01:26:24,639
Speaker 7: margin left, which was the problem it was supposed to solve, right,

1870
01:26:25,240 --> 01:26:28,120
Speaker 7: But yeah, Ak Samsung is still trying to make it happen.

1871
01:26:28,439 --> 01:26:31,639
Speaker 7: No one else is, right, and I'm like, that's great.

1872
01:26:31,840 --> 01:26:34,479
Speaker 7: The industry realized no one actually wants to buy this,

1873
01:26:34,880 --> 01:26:36,719
Speaker 7: so they found a new thing that no one wanted

1874
01:26:36,760 --> 01:26:39,720
Speaker 7: to buy out. You know, yeah, like just just at

1875
01:26:39,760 --> 01:26:42,000
Speaker 7: AI as a label. You like what Delta is doing

1876
01:26:42,040 --> 01:26:46,519
Speaker 7: with the concierge that maybe just software. I just you

1877
01:26:46,560 --> 01:26:50,000
Speaker 7: know your aktvs now have AI upscaling instead of just upscaling.

1878
01:26:50,160 --> 01:26:52,800
Speaker 2: No, they were doing that last year. Probably, they absolutely

1879
01:26:52,840 --> 01:26:55,840
Speaker 2: were doing that. If they try to say again, is there.

1880
01:26:55,840 --> 01:26:58,240
Speaker 1: A distinction between those two things.

1881
01:26:58,200 --> 01:27:01,639
Speaker 2: Well, eight K is actually eight K resolution versus upscaling,

1882
01:27:01,680 --> 01:27:03,599
Speaker 2: which is effectively filling in the front.

1883
01:27:03,880 --> 01:27:06,599
Speaker 1: It's on which you need because there's nothing to watch.

1884
01:27:06,439 --> 01:27:09,120
Speaker 2: In a K. Well, you can't even watch terrestrial television

1885
01:27:09,120 --> 01:27:11,000
Speaker 2: and four K, so in theory you can't.

1886
01:27:11,280 --> 01:27:13,360
Speaker 7: You can your next gen, but that's not going to

1887
01:27:13,400 --> 01:27:17,439
Speaker 7: be doable until stations take that note. My first CEES

1888
01:27:17,640 --> 01:27:20,559
Speaker 7: was the introduction of digital TV in nineteen ninety eight.

1889
01:27:21,040 --> 01:27:23,840
Speaker 1: Jeez, that's y'all. Can't see the gray hairs on my head,

1890
01:27:24,439 --> 01:27:25,760
Speaker 1: most of which your CES is fault.

1891
01:27:25,960 --> 01:27:28,000
Speaker 2: Why would you watch something in four K?

1892
01:27:28,280 --> 01:27:30,320
Speaker 7: I would watch it if it's a big enough if

1893
01:27:30,360 --> 01:27:32,640
Speaker 7: it's a big enough screen, you appreciated, like I was

1894
01:27:32,720 --> 01:27:34,800
Speaker 7: a skeptic for a long time. The monitor on my

1895
01:27:34,880 --> 01:27:37,360
Speaker 7: Mac at home is a four K screen, and yeah,

1896
01:27:37,439 --> 01:27:38,880
Speaker 7: for all mankind is pretty great at that.

1897
01:27:39,000 --> 01:27:42,320
Speaker 2: Lee Well, sport like baseball, especially with very precise placement

1898
01:27:42,560 --> 01:27:44,400
Speaker 2: but past that point really.

1899
01:27:44,520 --> 01:27:47,160
Speaker 7: Yeah, now there's no reason for AK And you know,

1900
01:27:47,400 --> 01:27:49,599
Speaker 7: maybe I guess the sphere I guess has sixteen case

1901
01:27:49,640 --> 01:27:50,400
Speaker 7: screens on the wall.

1902
01:27:51,080 --> 01:27:52,920
Speaker 1: But that's the definition of an edge case.

1903
01:27:53,200 --> 01:27:56,080
Speaker 7: Yeah, if your your ease case is a two billion

1904
01:27:56,120 --> 01:27:57,920
Speaker 7: dollar building in Vegas.

1905
01:27:58,080 --> 01:28:00,360
Speaker 2: Yeah, yeah, is not as well.

1906
01:28:00,400 --> 01:28:02,280
Speaker 1: Also to your point on the watching things and four

1907
01:28:02,360 --> 01:28:06,080
Speaker 1: K things, like I think so we're also uh current

1908
01:28:06,240 --> 01:28:10,200
Speaker 1: on for all mankind la postorous. But it's like, you know,

1909
01:28:10,520 --> 01:28:13,560
Speaker 1: it's guy's a strong seats. I've noticed that. And this

1910
01:28:13,680 --> 01:28:15,200
Speaker 1: is the case with a lot of the Netflix stuff,

1911
01:28:15,200 --> 01:28:17,880
Speaker 1: which they make them shoot on four K cameras, right,

1912
01:28:18,000 --> 01:28:21,080
Speaker 1: Like that's like, yeah, it's it's a really goofee show.

1913
01:28:21,120 --> 01:28:24,479
Speaker 1: It's like a space soap opera. But the but a

1914
01:28:24,520 --> 01:28:25,840
Speaker 1: lot of the issues I like it too, And but

1915
01:28:25,960 --> 01:28:29,759
Speaker 1: so the effects look incredible. The scenes of people talking

1916
01:28:29,840 --> 01:28:34,639
Speaker 1: in rooms often look like a telenovella to me, Like yeah,

1917
01:28:35,080 --> 01:28:37,040
Speaker 1: and that's like an issue with a lot of Netflix

1918
01:28:37,040 --> 01:28:38,880
Speaker 1: stuff too, because they shoot in four K and then

1919
01:28:38,880 --> 01:28:40,240
Speaker 1: they have to mush it down to get it through

1920
01:28:40,240 --> 01:28:42,280
Speaker 1: your pipes and then it expands again on your TV.

1921
01:28:42,360 --> 01:28:44,640
Speaker 1: And that's why everything on Netflix kind of looks like

1922
01:28:44,760 --> 01:28:46,960
Speaker 1: you're watching it on your phone even though you're watching

1923
01:28:47,000 --> 01:28:48,519
Speaker 1: it on your TV. I think this is like my

1924
01:28:48,720 --> 01:28:51,240
Speaker 1: understanding of it. But I do think that there's like

1925
01:28:52,000 --> 01:28:53,439
Speaker 1: as much as it would be cool to like watch

1926
01:28:53,520 --> 01:28:55,360
Speaker 1: sports like that, and I do think it's true, like I,

1927
01:28:55,760 --> 01:28:57,360
Speaker 1: you know, have my mind blown by like how good

1928
01:28:57,439 --> 01:28:59,720
Speaker 1: a lot of the TV displays were in the big

1929
01:29:01,200 --> 01:29:04,639
Speaker 1: you know, TV manufactured things that I looked at this morning.

1930
01:29:05,560 --> 01:29:08,320
Speaker 1: And yet it's like you do kind of at some

1931
01:29:08,400 --> 01:29:14,160
Speaker 1: point like bump up against the like necessity question on

1932
01:29:14,280 --> 01:29:15,160
Speaker 1: any of this stuff, Like.

1933
01:29:15,200 --> 01:29:17,799
Speaker 7: We like the whole Apple definition of a retina display,

1934
01:29:17,960 --> 01:29:20,880
Speaker 7: like can you no longer see the constituent pixels? Which

1935
01:29:20,960 --> 01:29:23,680
Speaker 7: is absolutely a thing in TVs, And so yeah, you

1936
01:29:23,880 --> 01:29:27,679
Speaker 7: need such a huge screen for AK to be discernibly better,

1937
01:29:28,560 --> 01:29:31,840
Speaker 7: and so yes, content for it, Like now there's nothing

1938
01:29:31,880 --> 01:29:35,200
Speaker 7: the odd time that EFA in Berlin, I want to say,

1939
01:29:35,240 --> 01:29:38,120
Speaker 7: like two years ago, and that's what is EFA just

1940
01:29:38,160 --> 01:29:41,080
Speaker 7: for the it's the basically the European version of CS.

1941
01:29:41,640 --> 01:29:45,240
Speaker 7: It originally stood for German for international radio show. I

1942
01:29:45,280 --> 01:29:49,599
Speaker 7: don't speak German to tongue. International now focus along. Now

1943
01:29:49,640 --> 01:29:51,080
Speaker 7: they say it's innovation for all I do.

1944
01:29:51,160 --> 01:29:56,320
Speaker 2: And that was really okay, I dun'k it, And that EFA.

1945
01:29:56,120 --> 01:30:00,240
Speaker 1: Has gone on from like twenty twenty three up for

1946
01:30:00,240 --> 01:30:01,640
Speaker 1: a few years in the forties. I don't like to

1947
01:30:01,680 --> 01:30:02,120
Speaker 1: talk about.

1948
01:30:03,280 --> 01:30:06,880
Speaker 7: And so Samsung had commissioned an AK version of the

1949
01:30:07,360 --> 01:30:10,599
Speaker 7: series Dust Boots. Okay, and that's like literally the only

1950
01:30:10,680 --> 01:30:13,400
Speaker 7: time I've seen a TV vendor get you something to

1951
01:30:13,479 --> 01:30:14,160
Speaker 7: watch in AK.

1952
01:30:16,040 --> 01:30:17,720
Speaker 2: The movies like four and a half, isn't that very

1953
01:30:17,760 --> 01:30:18,320
Speaker 2: I didn't.

1954
01:30:18,080 --> 01:30:19,559
Speaker 1: Even know they'd min a series out of the movie

1955
01:30:20,320 --> 01:30:20,799
Speaker 1: the series.

1956
01:30:20,920 --> 01:30:22,960
Speaker 2: Yeah, yeah, yeah, I know the movies very long.

1957
01:30:23,640 --> 01:30:26,160
Speaker 7: I have watched the movie and it was in an

1958
01:30:26,200 --> 01:30:28,240
Speaker 7: old school theater in DC and Connecticut Avenue.

1959
01:30:28,360 --> 01:30:30,120
Speaker 1: Yeah, the movies from like nineteen eighty five too.

1960
01:30:30,200 --> 01:30:30,360
Speaker 2: Yeah.

1961
01:30:30,360 --> 01:30:32,000
Speaker 1: I feel like watching that in a K would feel

1962
01:30:32,000 --> 01:30:35,880
Speaker 1: like you were on LSD overprocessed. Yeah, just like you're

1963
01:30:36,120 --> 01:30:38,360
Speaker 1: so much closer to Jurgen Prunk now than you really

1964
01:30:38,400 --> 01:30:38,720
Speaker 1: need to be.

1965
01:30:39,000 --> 01:30:39,840
Speaker 2: Hug and Krunk.

1966
01:30:39,960 --> 01:30:42,599
Speaker 1: We love Yurgen pro is a good actor.

1967
01:30:43,160 --> 01:30:45,360
Speaker 2: So let's bring this to an end. Rob. Where can

1968
01:30:45,400 --> 01:30:45,960
Speaker 2: people find you?

1969
01:30:46,320 --> 01:30:48,519
Speaker 7: You can find me at pc mag dot com, mass

1970
01:30:48,560 --> 01:30:51,080
Speaker 7: coompany dot com. My website is Rob Pacerrero dot com.

1971
01:30:51,240 --> 01:30:53,880
Speaker 7: I am on bluesky at the exact same handle was

1972
01:30:53,920 --> 01:30:56,559
Speaker 7: on blue Sky. Everyone has a website, mister.

1973
01:30:56,520 --> 01:31:03,320
Speaker 6: Guisa newsletter, the Bubble dot Substack dot com podcast, this

1974
01:31:03,520 --> 01:31:07,120
Speaker 6: Machine Kills and on actually everything site in blue Sky,

1975
01:31:07,560 --> 01:31:08,519
Speaker 6: Big Black Jacobin.

1976
01:31:10,280 --> 01:31:13,160
Speaker 1: I'm ready for Defector dot com the podcast I do

1977
01:31:13,240 --> 01:31:16,760
Speaker 1: there is the Distraction and I am David Jroth dot

1978
01:31:17,320 --> 01:31:20,040
Speaker 1: bsky DoD social on Bluescape.

1979
01:31:20,840 --> 01:31:23,000
Speaker 2: So you're at the end of day four of the

1980
01:31:23,120 --> 01:31:26,960
Speaker 2: CS coverage. We are absolutely high energy. All of us

1981
01:31:27,040 --> 01:31:29,760
Speaker 2: are and are more peaking out, more awake than we've

1982
01:31:29,760 --> 01:31:31,519
Speaker 2: ever been able to take these boys out for bergers

1983
01:31:31,560 --> 01:31:34,479
Speaker 2: after this, thank you so much for listening. Everyone. Two

1984
01:31:34,560 --> 01:31:38,120
Speaker 2: more days. You've got another double tomorrow, another two pairs,

1985
01:31:38,320 --> 01:31:42,519
Speaker 2: another two pairs. Jesus Christ ninety minutes each, two episodes

1986
01:31:42,600 --> 01:31:45,400
Speaker 2: hard and then a finale on Saturday. Jesus Christ, It's

1987
01:31:45,439 --> 01:31:49,280
Speaker 2: not that bad. I have not been this tired.

1988
01:31:50,240 --> 01:31:50,880
Speaker 6: God knows how.

1989
01:31:53,560 --> 01:31:56,120
Speaker 2: I'm brimming with life and I'm like a decade older

1990
01:31:56,160 --> 01:31:59,840
Speaker 2: than you, full of full of the spirit of csh

1991
01:32:00,200 --> 01:32:04,160
Speaker 2: of John CS, the founder, the Christian cult leader, give

1992
01:32:04,240 --> 01:32:06,960
Speaker 2: us so much at the first CS who did a

1993
01:32:07,040 --> 01:32:10,160
Speaker 2: sacrifice and that's why the show is still around. Yep,

1994
01:32:10,240 --> 01:32:12,760
Speaker 2: that's facts. Anyway, I'm at Zitchron. Thank you for listening.

1995
01:32:12,800 --> 01:32:15,240
Speaker 2: You've really indulged me this week. More to come tomorrow.

1996
01:32:15,800 --> 01:32:26,240
Speaker 2: Thank you so much. Thank you for listening to Better Offline.

1997
01:32:26,560 --> 01:32:28,960
Speaker 4: The editor and composer of the Better Offline theme song

1998
01:32:29,040 --> 01:32:31,679
Speaker 4: is Matasowski. You can check out more of his music

1999
01:32:31,720 --> 01:32:34,880
Speaker 4: and audio projects at Mattasowski dot com, m.

2000
01:32:34,920 --> 01:32:39,000
Speaker 2: A T T O S O W s ki dot com.

2001
01:32:39,760 --> 01:32:42,000
Speaker 4: You can email me at easy at Better Offline dot

2002
01:32:42,080 --> 01:32:44,320
Speaker 4: com or visit Better Offline dot com to find more

2003
01:32:44,360 --> 01:32:47,679
Speaker 4: podcast links and of course my newsletter. I also really

2004
01:32:47,720 --> 01:32:49,960
Speaker 4: recommend you go to chat dot Where's youreed dot at

2005
01:32:50,040 --> 01:32:52,439
Speaker 4: to visit the discord, and go to our slash Better

2006
01:32:52,520 --> 01:32:54,080
Speaker 4: Offline to check out our reddit.

2007
01:32:54,880 --> 01:32:56,200
Speaker 2: Thank you so much for listening.

2008
01:32:57,080 --> 01:32:59,800
Speaker 5: Better Offline is a production of cool Zone Media from

2009
01:33:00,080 --> 01:33:03,519
Speaker 5: from cool Zone Media. Visit our website Coolzonemedia dot com,

2010
01:33:04,040 --> 01:33:06,840
Speaker 5: or check us out on the iHeartRadio app, Apple Podcasts,

2011
01:33:06,960 --> 01:33:08,400
Speaker 5: or wherever you get your podcasts