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Speaker 1: Get technology with tech Stuff from Stuff. Hey there, everyone,

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Speaker 1: and welcome to Tech Stuff. I am your host Jonathan Strickland.

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Speaker 1: Joining me today is one half of the Car Stuff team,

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Speaker 1: Scott Benjamin Scott, welcome back to the show. I'm doing great.

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Speaker 1: We were gonna have Ben Bowen in here too, but

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Speaker 1: Ben's a man in high demand, he really is. He's

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Speaker 1: He's taken over the whole video segment of our of

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Speaker 1: our uh Empire Empire. I guess it's growing, right, But yeah, yeah,

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Speaker 1: I mean, I'm happy to be here as always, and

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Speaker 1: I'm excited about today's topic too. Yeah, I'm excited to

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Speaker 1: talk about it today. And and I should add Ben

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Speaker 1: totally wanted to be here. He was just he had

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Speaker 1: like eighteen things on his calendar today and as someone

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Speaker 1: who had that yesterday, I totally understand. Oh yeah, we

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Speaker 1: get it. Yeah. So today we're gonna talk about a

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Speaker 1: little more in depth about some of the technology that

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Speaker 1: was on display at CS, specifically in regards two cars,

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Speaker 1: which is why I got Scott onto the show here

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Speaker 1: to kind of gauge his reactions and maybe even here

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Speaker 1: your insight on some of this stuff, well, you know,

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Speaker 1: I've read about it now you were at the show,

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Speaker 1: of course, and you saw the stuff firsthand. A lot

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Speaker 1: of this is just me looking at reviews of you know,

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Speaker 1: what everybody else has written about this stuff. I'm getting,

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Speaker 1: you know, a different view of the whole thing. I

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Speaker 1: don't get the hands on experience. But um, I'll do

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Speaker 1: my best to try to keep up with you. But

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Speaker 1: really the reaction maybe more of what you're going for here,

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Speaker 1: because we've got opinions both ways about this. I mean,

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Speaker 1: I know that your listeners have heard us, uh I

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Speaker 1: guess butt heads on a couple of the past, or

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Speaker 1: at least they heard that one very special episode where

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Speaker 1: I I pulled the rug out from under you. I

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Speaker 1: still have nightmares. That was the one where I think,

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Speaker 1: I think the question was Scott, I'm going to give

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Speaker 1: you a scenario that in like ten years it's illegal

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Speaker 1: to drive a car. And then then I watched your

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Speaker 1: you just kind of wilt. It was a slow boil

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Speaker 1: from that point on. Yeah. So one of the things

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Speaker 1: I want to just mention right at the top before

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Speaker 1: going into any specifics, is that the car industry has

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Speaker 1: always played a part in CS as long as I

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Speaker 1: have been going. This was my eight year going, and

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Speaker 1: typically the north hall of the convention center is where

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Speaker 1: you'll find the car text stuff. Occasionally there will be

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Speaker 1: some things out in the actual parking lots that are

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Speaker 1: around the convention center to show practical demonstrations of stuff

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Speaker 1: like driver assist technology is that sort of thing. But

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Speaker 1: typically most of the the exhibits are inside, so their

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Speaker 1: static displays and not you know, you're not gonna get

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Speaker 1: in the car and drive around or anything. But I've

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Speaker 1: noticed that the trend has been growing year over year

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Speaker 1: that that we're seeing more and more car technologies make

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Speaker 1: their way into the show floor, which is kind of interesting.

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Speaker 1: I mean, I get that their consumer technology, but often

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Speaker 1: when I hear consumer technology, I'm thinking of smaller things,

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Speaker 1: things smaller than a vehicle, yeah right, like maybe as

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Speaker 1: big as like a refrigerator, But mostly I'm thinking of

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Speaker 1: things in the television stereo system world, not things that

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Speaker 1: you park in a garage. Well, you know, sometimes they

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Speaker 1: get around this by just bringing in maybe the cockpit,

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Speaker 1: the driver cockpit and the seat that is, you know,

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Speaker 1: integral to whatever they're trying to show or display, and

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Speaker 1: and that's enough. But sometimes they want to bring the

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Speaker 1: whole vehicle because it's a whole package. Now at this point,

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Speaker 1: everything is connected to everything else, and they want to

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Speaker 1: show you how it all works together and how it

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Speaker 1: feels when you're actually in there. There true to life

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Speaker 1: product that they're going to be coming out with soon.

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Speaker 1: And in fact, I noticed that there were a couple

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Speaker 1: of a couple of early reveals that happened at this

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Speaker 1: show that I just wanted to mention. They brought, well,

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Speaker 1: Chevrolet brought too brand new vehicles for actually are gonna

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Speaker 1: be out until the end of And this is what's

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Speaker 1: really weird to me. They brought out the Chevy Bolt,

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Speaker 1: which is the hatchback or the smaller version of the

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Speaker 1: Chetty Volts I guess, the updated version, And uh, it's

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Speaker 1: kind of it wasn't really a reveal, it sort of was.

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Speaker 1: They wanted to show off the whole technology, the whole vehicle.

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Speaker 1: But later they took it to the Detroit Auto Auto

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Speaker 1: Show the I guess, the North American International Auto Show

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Speaker 1: in Detroit, and then that's where they officially revealed that vehicle,

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Speaker 1: even though everybody at c YES had already seen it.

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Speaker 1: It'd been had been shown off like a week and

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Speaker 1: a half earlier. Yeah, and similar with the Chevy Cruise hatchback.

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Speaker 1: And I think that they wanted to show some of

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Speaker 1: their safety technologies and some of their their advanced technologies

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Speaker 1: that they were going to be bringing out in about

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Speaker 1: what about a year now at this point, a year

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Speaker 1: and a half something like that. Uh, so interesting how

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Speaker 1: they would really reveal them to the public there and

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Speaker 1: then give them the official reveal you know where they

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Speaker 1: pull off, you know they do the dramatic Yankee off

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Speaker 1: of the cover or you know, have a drive out

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Speaker 1: on stage at the Detroit show. Yeah, it's interesting to

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Speaker 1: see ce S play home to that sort of announcement

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Speaker 1: or or non announcement almost where you do get this

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Speaker 1: early look at stuff that normally would be reserved for

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Speaker 1: an auto show or or even just a press event

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Speaker 1: for that specific company. Um, it's kind of showing how

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Speaker 1: c e S and cars are meshing together. In fact,

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Speaker 1: that's going to be a theme throughout this episode is

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Speaker 1: about how we're seeing sort of high tech stuff outside

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Speaker 1: of the direct control of an automobile make its way

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Speaker 1: into the vehicle and some things you wouldn't expect to

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Speaker 1: see in an automobile that do make its way into

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Speaker 1: that automobile. Generally it's apps and things like that, get it,

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Speaker 1: but there's some hardware changes and some other surprising things

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Speaker 1: along the way to right. And the first thing I

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Speaker 1: want to start off with Scott is talking about Toyota.

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Speaker 1: I want to get that out of the way. So,

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Speaker 1: first of all, full disclosure, I was there at CES

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Speaker 1: partially uh in my role as host of Forward Thinking,

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Speaker 1: which is sponsored by Toyota. This show is not sponsored

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Speaker 1: by Toyota, but I just wanted to get that out

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Speaker 1: of the way. Uh. So they had a presentation that

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Speaker 1: they were calling moving Safely into Future Mobility, and it

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Speaker 1: was all really about artificial intelligence. Now, in two thousand

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Speaker 1: and fifteen, it was announced that Toyota was going to

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Speaker 1: fund two, well at least to start with two different

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Speaker 1: research facilities, one near Stanford, one near m i T

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Speaker 1: dedicated to researching artificial intelligence, specifically in regards to automotive industry,

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Speaker 1: but beyond that as well. And then it was announced

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Speaker 1: that they were going to put in a billion dollars

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Speaker 1: over the next five years into these two research facilities.

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Speaker 1: And they're they're actually working on two different things. So

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Speaker 1: the Stanford group is working on something where you are

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Speaker 1: trying to eliminate uncertainty in AI. And by that what

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Speaker 1: they mean is, Scott, You're you're driving your car. You're

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Speaker 1: driving down at highway speeds on a highway and there's

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Speaker 1: a You notice that the car in front of you,

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Speaker 1: uh that it's got some barrels in the bed of

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Speaker 1: a truck, and one of the barrels happens to to

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Speaker 1: fly out, and you of a time to react, so

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Speaker 1: you managed to swerve all the way. You as a

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Speaker 1: human being, you're able to recognize this extrapolate from past

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Speaker 1: experience kind of no, because you know the car and

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Speaker 1: know the road. You know sort of what you can do,

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Speaker 1: what's within your abilities to do in reaction to something

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Speaker 1: like that. The thing that the Stanford folks are working

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Speaker 1: on is how do you program that kind of ability

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Speaker 1: into artificial intelligence? Because machines are really good and reacting

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Speaker 1: in a specific way to specific scenarios. So in other words,

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Speaker 1: you could program in all, right, if a bicyclist swerves

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Speaker 1: into your lane, then you slow down like you have that.

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Speaker 1: If this, then that, But you can't anticipate everything, so

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Speaker 1: this is like a split second reaction. Uh. Everything that

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Speaker 1: goes into a human split second reaction is what they

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Speaker 1: have to some kind of find some kind of way

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Speaker 1: to develop for their own AI system to recognize and

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Speaker 1: react the proper way. So it at what well, here's

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Speaker 1: the here's the question though. Does it react to preserve

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Speaker 1: the lives of the people that are in the car.

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Speaker 1: Does it react to preserve the lives of people that

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Speaker 1: maybe are walking on the sidewalk? This is the classic

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Speaker 1: trolley problem. Okay, well, okay, yeah, that's right. So who

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Speaker 1: does who does the system protect? Does it protect the

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Speaker 1: driver of the vehicle or does it protect the people

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Speaker 1: around surrounding that? And that's and that's one of the

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Speaker 1: questions that has to be asked, right, like how how

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Speaker 1: you know knowing that there's going to be ultimately, at

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Speaker 1: some point a scenario where a car will have to

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Speaker 1: quote unquote decide to do something that is going to

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Speaker 1: put someone in harm's way, how do you determine what

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Speaker 1: how the car will will make that decision? And that's

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Speaker 1: that's part of it is just this idea of you

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Speaker 1: can program AI to handle the mundane situations of driving.

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Speaker 1: Really well, we we have pretty much got that down right.

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Speaker 1: The manufacturers are essentially doing that now. They just can't

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Speaker 1: legally say that you're allowed to operate that vehicle without

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Speaker 1: a driver in the driver's seat, right, So under normal

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Speaker 1: operating conditions, so a normal day, like in a in

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Speaker 1: a temperate area, So we're not talking about whether conditions

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Speaker 1: like ice or snow. We're not talking about you know,

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Speaker 1: uh traffic system where maybe the traffic lights are on

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Speaker 1: the blank. That could obviously cause issues with a car

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Speaker 1: that is designed to wait until a green light comes up,

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Speaker 1: that kind of stuff, But under normal operating conditions, they're

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Speaker 1: very safe. The point that Toyota was making is that

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Speaker 1: that's not the way the world works, and that you

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Speaker 1: could argue that right now we have a million mile

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Speaker 1: safety record with autonomous cars, just because that's the number

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Speaker 1: of miles autonomous cars have traveled collectively. But they argue

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Speaker 1: that we really need a trillion mile safety record to

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Speaker 1: prove that autonomous cars are safe enough for us to

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Speaker 1: hand over control two machines and not be at least

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Speaker 1: partially and con role. Well, that's part of the reason

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Speaker 1: we always see this this decade out date where they

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Speaker 1: say we're gonna have this ready by or in some

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Speaker 1: cases we don't even plan to have anything fully autonomous

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Speaker 1: and until fifteen years from now. But we're gonna do

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Speaker 1: these these incremental steps along the way so that in

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Speaker 1: ten years we're gonna have one that's pretty good. It's

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Speaker 1: nearly there. And so that's exactly what Toyota is saying

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Speaker 1: that they want to have focus on driver assist systems

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Speaker 1: where the AI can come in and help out if

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Speaker 1: something extraordinary happens or if something happens outside of your awareness, uh,

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Speaker 1: and help you avoid an accident, but it doesn't completely

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Speaker 1: take over for the driver. Now check me if I'm

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Speaker 1: wrong here. But I saw a just a little video

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Speaker 1: clip of a display that was happening at one of

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Speaker 1: the Toyota booths. And I don't know if this is

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Speaker 1: tied into with this exactly, but they had almost looked

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Speaker 1: what looked like a fish tank. It was a big

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Speaker 1: area with the table and yeah, they had a lot

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Speaker 1: of miniature, you know, scale model cars. I don't know

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Speaker 1: if they're a previous cars or what they were, but uh,

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Speaker 1: they were rolling around and I guess when they initially

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Speaker 1: kind of released all these cars, maybe ten or twelve

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Speaker 1: cars into this uh this this box, this glass box. Uh,

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Speaker 1: they were all bumping into each other, and it was

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Speaker 1: just kind of chaos. And the cars were then learning

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Speaker 1: how to drive around each other without colliding with it

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Speaker 1: with objects that were in the display and the and

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Speaker 1: other vehicles. And by the end of the demonstration, or

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Speaker 1: at least when they were showing this video clear when

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Speaker 1: they were recording this clip, the cars were not colliding

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Speaker 1: at all. They weren't touching. They were you know, sensing

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Speaker 1: each other and moving to make something you know, making

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Speaker 1: some kind of avoidance maneuver in a in a smart

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Speaker 1: way so they didn't bump into another vehicle or another

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Speaker 1: object or the wall or whatever. It was just it

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Speaker 1: was a clever way to show that. Yeah, it was

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Speaker 1: neat because again they you know, Toyota had a couple

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Speaker 1: of vehicles on the show floor, but this was a

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Speaker 1: way of showing off this technology, uh, in a live

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Speaker 1: setting that still didn't require you to actually go outside

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Speaker 1: and see a bunch of Prius is kind of pirouet

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Speaker 1: around each other. Yeah, I know exactly what you're talking about,

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Speaker 1: because I got a good look at this. So, yeah,

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Speaker 1: it's sort of a grid and each car had its

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Speaker 1: own route that it had to go along. And at

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Speaker 1: first it was trying to go along this route, not

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Speaker 1: really carrying what the other cars in the in the

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Speaker 1: area we're trying to do. And that's where they were

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Speaker 1: having these little collisions and stuff and figuring things out.

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Speaker 1: My neighbor drives like that nice. And when the learning

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Speaker 1: algorithm kicked in, then they were able to start, you know,

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Speaker 1: pausing to let another car go in front of them

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Speaker 1: before are cross in front of them before they went

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Speaker 1: and uh, it became this very intricate, almost like a

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Speaker 1: dance that you could watch. And they had a video

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Speaker 1: streaming in the background explaining the whole process that this

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Speaker 1: was a machine learning algorithm that would be applied on

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Speaker 1: a much grander scale to technology that would find its

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Speaker 1: way in cars down the road. It's almost like a

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Speaker 1: like a fish school mentality, you know, like they all

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Speaker 1: move one way together and it's all fluid and there's

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Speaker 1: not really much of fish colliding all the time. You know,

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Speaker 1: they all know where the other one is going. It's

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Speaker 1: like maintaining that distance. Yeah, it's it seems it seems

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Speaker 1: like that. It looks like that when you see it happening. Yeah,

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Speaker 1: it's actually it's actually pretty cool to watch, Like I

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Speaker 1: got to watch it for a really long time as

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Speaker 1: we were setting up a shot and so. But yeah,

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Speaker 1: it was neat seeing how these were working. And in fact,

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Speaker 1: a lot of the people from Toyota said, yeah, some

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Speaker 1: of our competitors were coming in to make sure that

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Speaker 1: it wasn't like remote controlled vehicles that was all actually autonomous,

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Speaker 1: And in fact it was autonomous. It's just like just

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Speaker 1: a little little bitty model cars. Yeah. You know one

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Speaker 1: thing at this that you sent me an article at

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Speaker 1: least from the New York Times. Yeah, that that mentions this,

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Speaker 1: you know, Toyota investment of one billion dollars in artificial

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Speaker 1: intelligence here in the United States, and it said, and

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Speaker 1: I thought this was pretty interesting that artificial intelligence technologies

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Speaker 1: were disappointing for decades. And I've never really thought them

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Speaker 1: as disappointing. I mean, I see them incrementally growing, you know,

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Speaker 1: getting better. Yeah, but I never really saw them as

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Speaker 1: being disappointing. I think part of it is that there

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Speaker 1: is the the public expectation of what artificial intelligence is

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Speaker 1: versus the actual definition of artificial intelligence. So if you

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Speaker 1: if you look at artificial intelligence as being a very

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Speaker 1: broad spectrum that encompasses a ton of stuff and on

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Speaker 1: on the the simplest level, it's on the idea of

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Speaker 1: sensing a change in the environment and being able to

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Speaker 1: react to it. That's the type of artificial intelligence. And

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Speaker 1: of course the far end of the spectrum is human

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Speaker 1: like or superhuman intelligence, which obviously we have not really achieved. Um.

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Speaker 1: But you know, a lot of people think that that

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Speaker 1: superhuman or human like intelligence is the definition of AI.

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Speaker 1: They don't realize necessarily that artificial intelligence means lots of

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Speaker 1: different stuff. Well, just to give you an example, I

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Speaker 1: mean that this article in particular mentioned Siri as a

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Speaker 1: as a tremendous advancement in artificial intelligence. Now, I know

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Speaker 1: that you've probably talked about this at length on the show,

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Speaker 1: but I can kind of understand it. That's like, finally

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Speaker 1: the general populace, I guess, is getting a chance to

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Speaker 1: kind of kind of toy with this a little bit

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Speaker 1: and see what it can do, what it's capable of.

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Speaker 1: And I know it's a it's I don't know, I

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Speaker 1: have trouble calling it true artificial intelligence. Yeah, No, it's

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Speaker 1: it's it's voice recognition, which is already impressive, right, And

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Speaker 1: then it's it's it's pairing that with uh an ability

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Speaker 1: to execute uncertain apps or do searches. But then you

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Speaker 1: think about it, if you're gonna call Sirie artificial intelligence,

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Speaker 1: you might as well call a Google search artificial intelligence,

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Speaker 1: because Siri is just really a new way to interface

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Speaker 1: with a system that's been in place for several years

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Speaker 1: exactly now. Okay, So, but we're seeing more and more

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Speaker 1: stuff like Siri implemented into automobiles with voice recognition. We'll

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Speaker 1: be talking a lot about that, and to be able

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Speaker 1: to control certain things in the car, which are which

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Speaker 1: you're getting far more advanced than they were even last year. Um. Yeah,

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Speaker 1: it's crazy. Yeah, the interaction, the level of interaction. I mean,

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Speaker 1: I gotta say, I've never really been all that impressed

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Speaker 1: with any of these apps that you can have on

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Speaker 1: your phone that maybe turn on the lights in your

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Speaker 1: living room or you know, you can adjust your thermostad

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Speaker 1: like you say, say that, But until you convince your

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Speaker 1: loved ones that your house is haunted because you are

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Speaker 1: using the app while you're at work to turn the

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Speaker 1: lights on and off, you really haven't lived. I see,

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Speaker 1: I see. So it's it's good for practical jokers too. Yeah, No,

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Speaker 1: I've I've been guilty of that, I've turned the lights

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Speaker 1: off on my wife while I was at work. That's

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Speaker 1: a prettyunny trick, you know. Honestly, Like what we're going

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Speaker 1: to cover here today, it goes far beyond that. I mean,

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Speaker 1: because again, like I said, I'm not I haven't really

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Speaker 1: been all that you know, wowed by this stuff up

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Speaker 1: until this point. And now now it seems like you

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Speaker 1: can really talk to this thing and make it do

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Speaker 1: what you really want, I mean, And there's far reaching

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Speaker 1: implications with that. Yeah, I think, uh, I think it's

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Speaker 1: really cool that. I mean. That was one of the

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Speaker 1: really big stories this year l c S was that

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Speaker 1: this sort of connected card technology is really starting to

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Speaker 1: make sense, right, It's it's gone beyond. It made me

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Speaker 1: think of the way smart TVs were when they first

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Speaker 1: came out. Smart TVs when they first came out, you

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Speaker 1: get a widget on your screen and it would tell you,

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Speaker 1: you know, what the temperature was outside and how likely

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Speaker 1: is it going to rain? And it wasn't very attractive,

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Speaker 1: it wasn't very useful, and often it was difficult to

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Speaker 1: navigate around these systems because it was more like, hey,

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Speaker 1: we can put Internet content on a television. Let's go ahead.

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Speaker 1: And do that before we figure out what's the best

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Speaker 1: way to incorporate it so that the experience is a

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Speaker 1: positive one. And I think cars have had the same

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Speaker 1: thing they are getting there now. I'll tell you because

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Speaker 1: this this whole Ford Alexa, I think the years you've

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Speaker 1: mentioned this is one of the topics that you wanted

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Speaker 1: to talk about. Do you mind if we go to

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Speaker 1: that right now? Do it all? Right? So Ford is

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Speaker 1: kind of working with Echo and and Alexa and and

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Speaker 1: they're incorporating this into their already existing SINC program And

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Speaker 1: I think they're at the third generation of the SINC

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Speaker 1: program for their cars. How do you know SINC programs

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Speaker 1: right away to say that platform platform, that's a better way.

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Speaker 1: So you can go to forward dot com and check

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Speaker 1: out what SINK will do. But I'll tell you that

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Speaker 1: this next level where they've taken out of the way.

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Speaker 1: They've integrated everything that SINK will do with Echo and

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Speaker 1: with Alexa. So that's like the is it a personal

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Speaker 1: assistant or what do they call they call them now

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Speaker 1: they're calling a voice concierge voice concierge. So I was

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Speaker 1: reading an article about this from Gelotnic and it's a

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Speaker 1: car site and one of the things. And this impressed me.

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Speaker 1: It's not just turn the lights on and or you know,

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Speaker 1: set the set the temperature. It says, you know, you

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Speaker 1: can you can from your car on the way home,

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Speaker 1: you can say, Alexa, turn the kitchen lights on, open

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Speaker 1: the Gradu door, heat the oven to four degrees, and

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Speaker 1: turn on a baseball game. So when you get home,

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Speaker 1: all this stuff is ready to go. It's all set

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Speaker 1: to go. And and Mercedes Benz is working with with

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Speaker 1: Nest to do something very simil a uh so other

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Speaker 1: autom manufacturers are working with different companies to do similar things.

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Speaker 1: One of them is working with Microsoft and has Cortana,

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Speaker 1: which is Microsoft version of a voice concierge, incorporating that.

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Speaker 1: We'll get to that in a little bit too. And

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Speaker 1: and you can you can set start times for your car.

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Speaker 1: So here's the usual routine. You know, you've got the

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Speaker 1: automatic start that you know the manufacturer builds in the system.

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Speaker 1: That's that's one thing, right, But you still and I

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Speaker 1: know this sounds kind of silly, but you still have

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Speaker 1: to you don't go near the window, I guess, and

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Speaker 1: look at your car and and push the button and

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Speaker 1: know that you know the previous night, you turn the

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Speaker 1: heat on high and the defroster on and all that stuff,

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Speaker 1: and it sets or you know, some manufacturers probably has

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Speaker 1: settings that automatically do that, but you have some type

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Speaker 1: of physical interaction you have to do with your car

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Speaker 1: in the morning. You have to remember, I'm going to

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Speaker 1: turn that on ten minutes before I go out, so clear,

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Speaker 1: clear off the frost on the windshield, make sure the

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Speaker 1: car is a nice temperature before I get in. Exactly,

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Speaker 1: it's all about comfort, right. So this system, this this

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Speaker 1: new Forward Alexa ecosystem, will allow you to set a

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Speaker 1: time like on on Monday morning, I want the car

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Speaker 1: to start at five am, I want the interior temperature

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Speaker 1: to be seventy five degrees um. I want, you know,

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Speaker 1: whatever you can. You can adjust that, you can turn

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Speaker 1: the radio station to whatever you want. But you can

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Speaker 1: program all that in days ahead of time. It's like

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Speaker 1: setting a schedule for your car. My question is with that, though,

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Speaker 1: what if things change and you forget to do that,

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Speaker 1: then your car is running out in the driveway for

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Speaker 1: you know, an hour and a half or whatever before

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Speaker 1: you remember that it's actually running. I would imagine that,

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Speaker 1: assuming you're having this worked with the echo, which is

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Speaker 1: essentially a speaker that has a microphone embedded in it,

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Speaker 1: so you can speak into it, it can talk back

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Speaker 1: to you. Uh. I would imagine a fail safe would

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Speaker 1: be to have the speaker chime or otherwise alert you

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Speaker 1: that your car has been running but hasn't been doing

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Speaker 1: anything after a certain amount of time has passed, maybe

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Speaker 1: five minutes. That's that's that would be my solution to

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Speaker 1: that problem. But it's it is something that obviously you

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Speaker 1: have to think about when you're trying to implement these

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Speaker 1: kind of approaches into the automobile industry. And mean, this

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Speaker 1: is stuff that we've seen in smart homes to some

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Speaker 1: degree or another, and to see it kind of creep

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Speaker 1: into cars. You know, hopefully people are taking lessons they've

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Speaker 1: learned from the other implementations and trying to figure out

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Speaker 1: the best practices when applying it to cars. Yeah. Sure,

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Speaker 1: and you know you can schedule service reminders and things

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Speaker 1: like that. No, that's not anything new because cars can

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Speaker 1: do that kind of on their own. You can program

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Speaker 1: that in for just a date. But they can also

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Speaker 1: detect if there's you know, um um, something missing out

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Speaker 1: of your refrigerator. So let's say that you're at the

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Speaker 1: grocery store and you're in your connected car, and you've

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Speaker 1: got your connected home and your device that you know

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Speaker 1: interfaces between the two of them. You're in the grocery

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Speaker 1: store parking lot, though, and you don't remember if you

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Speaker 1: have milk, and you can you can now check while

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Speaker 1: you're in the car at the grocery store and check

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Speaker 1: to see if you have milk in the fridge at

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Speaker 1: home without having to have somebody there to say, yeah,

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Speaker 1: pick up a gallon of milk on the way home. Right,

432
00:21:54,480 --> 00:21:57,560
Speaker 1: So that this says require obviously that you have various

433
00:21:57,600 --> 00:22:01,320
Speaker 1: smart appliances to to network together. Right, Well, yeah, if

434
00:22:01,320 --> 00:22:04,359
Speaker 1: it's just a regular old fridge or or a kegenator

435
00:22:04,480 --> 00:22:08,040
Speaker 1: as as we might have back at home, it's not

436
00:22:08,080 --> 00:22:10,640
Speaker 1: going to be able to chime up. But yeah, it's

437
00:22:10,640 --> 00:22:13,439
Speaker 1: this interconnectivity. And in fact, that's one of the big

438
00:22:13,920 --> 00:22:17,119
Speaker 1: assets that Amazon has is the Echo can work with

439
00:22:17,200 --> 00:22:21,800
Speaker 1: lots of other different home automation products, not even not

440
00:22:21,880 --> 00:22:24,760
Speaker 1: just once from one company, which is a huge deal. Scott,

441
00:22:24,800 --> 00:22:26,479
Speaker 1: I can't tell you how big the deal this is

442
00:22:26,640 --> 00:22:29,760
Speaker 1: to have a connected home. Like in the early days,

443
00:22:29,840 --> 00:22:32,560
Speaker 1: everyone was trying to make sure their approach was going

444
00:22:32,640 --> 00:22:35,639
Speaker 1: to become the standard approach, which meant that there was

445
00:22:35,720 --> 00:22:38,639
Speaker 1: no standard. You had a bunch of proprietary approaches that

446
00:22:38,680 --> 00:22:43,199
Speaker 1: wouldn't talk to each other. So products like the Echo

447
00:22:43,400 --> 00:22:46,439
Speaker 1: and some apps that I've seen are finally getting to

448
00:22:46,440 --> 00:22:49,760
Speaker 1: the point where you can interface with different products from

449
00:22:49,800 --> 00:22:52,399
Speaker 1: different companies, so you don't have to buy in on

450
00:22:52,520 --> 00:22:57,240
Speaker 1: just one system if you happen to like one manufacturers refrigerator.

451
00:22:57,280 --> 00:23:00,440
Speaker 1: Let's say you like Whirlpool and you really want the

452
00:23:00,440 --> 00:23:03,600
Speaker 1: newest smart Whirlpool fridge, which, by the way, I've seen

453
00:23:03,960 --> 00:23:06,879
Speaker 1: and it's pretty sweet. If you wanted one of those,

454
00:23:07,280 --> 00:23:09,480
Speaker 1: but you wanted to have your other devices from a

455
00:23:09,480 --> 00:23:12,600
Speaker 1: different manufacturer, it would be difficult to have them all

456
00:23:12,800 --> 00:23:16,000
Speaker 1: talking to each other. But something like the Echo can

457
00:23:16,040 --> 00:23:18,320
Speaker 1: act like a hub, and then your car becomes an

458
00:23:18,320 --> 00:23:20,760
Speaker 1: extension of that hub, and that's where you can do

459
00:23:20,840 --> 00:23:24,159
Speaker 1: things like check to see if like if when was

460
00:23:24,200 --> 00:23:25,679
Speaker 1: the last time I bought milk? So, oh, it's two

461
00:23:25,720 --> 00:23:28,000
Speaker 1: weeks ago, Like, oh, I gotta buy milk, you know.

462
00:23:28,400 --> 00:23:30,280
Speaker 1: And that's the whole reason we're talking about it today,

463
00:23:30,320 --> 00:23:33,280
Speaker 1: because they're adding the automobile to this whole mix that

464
00:23:33,400 --> 00:23:36,120
Speaker 1: you know you can. It's now completely mobile. You can

465
00:23:36,200 --> 00:23:39,760
Speaker 1: really you can really truly control your home from your car,

466
00:23:39,840 --> 00:23:42,040
Speaker 1: and you can do a lot of things in your

467
00:23:42,040 --> 00:23:44,520
Speaker 1: car from home as well. I mean things that you

468
00:23:44,560 --> 00:23:46,640
Speaker 1: just wouldn't think that you would normally need. And it's

469
00:23:46,720 --> 00:23:49,239
Speaker 1: it's it's all luxury. I love the idea of it too,

470
00:23:49,480 --> 00:23:53,159
Speaker 1: like some of it. It's definitely luxury, but some of

471
00:23:53,200 --> 00:23:58,240
Speaker 1: it is incredibly helpful for people who are both absent

472
00:23:58,320 --> 00:24:01,000
Speaker 1: minded and a little O c D. So I don't

473
00:24:01,040 --> 00:24:03,680
Speaker 1: know Scott if you've ever experienced this, but my wife

474
00:24:03,720 --> 00:24:07,160
Speaker 1: and I when we go out anywhere, there will come

475
00:24:07,160 --> 00:24:09,920
Speaker 1: in time, usually when we're about a mile and a

476
00:24:09,960 --> 00:24:13,840
Speaker 1: half away from home, when the question was the front

477
00:24:13,840 --> 00:24:16,679
Speaker 1: door locked? Or did the garage door come all the

478
00:24:16,680 --> 00:24:20,280
Speaker 1: way down? Or was the oven on something some variation

479
00:24:20,320 --> 00:24:23,040
Speaker 1: of that will be asked, and then ultimately what has

480
00:24:23,080 --> 00:24:26,280
Speaker 1: to happen is a turn trip home before we ever

481
00:24:26,320 --> 00:24:29,440
Speaker 1: get to our destination. And ALEXA. One of the things

482
00:24:29,440 --> 00:24:32,840
Speaker 1: that can do is it can tell you and presumably

483
00:24:33,160 --> 00:24:37,520
Speaker 1: at least in future implementations, it can even correct things

484
00:24:37,720 --> 00:24:40,320
Speaker 1: if they are incorrect, like if you say, hey, is

485
00:24:40,320 --> 00:24:43,199
Speaker 1: the front door locked, No, it's not. It's unlocked. Can

486
00:24:43,200 --> 00:24:45,240
Speaker 1: you lock the front door for me? Yes? Click, and

487
00:24:45,240 --> 00:24:47,639
Speaker 1: then you don't have to worry about it anymore. Very smart. Now,

488
00:24:47,640 --> 00:24:49,240
Speaker 1: I want to show you something, and this is only

489
00:24:49,280 --> 00:24:52,000
Speaker 1: your benefit, not the listeners benefit. To see this page

490
00:24:52,240 --> 00:24:54,600
Speaker 1: where I have the word yes with two exclamation points,

491
00:24:55,200 --> 00:24:57,560
Speaker 1: I have underlined the line that says, asking, for example,

492
00:24:57,600 --> 00:25:01,040
Speaker 1: whether the garage door is closed. Every time I leave

493
00:25:01,119 --> 00:25:03,240
Speaker 1: my house, I look at the gradge door, make sure

494
00:25:03,280 --> 00:25:07,119
Speaker 1: it's closed, and I say, I whispered to myself, the

495
00:25:07,160 --> 00:25:10,000
Speaker 1: gardge door is closed. Yeah. And it's like a little routine.

496
00:25:10,040 --> 00:25:11,719
Speaker 1: It's a pattern I have. And if I if I

497
00:25:11,800 --> 00:25:14,800
Speaker 1: ever leave without doing that, I have to return and

498
00:25:14,840 --> 00:25:16,600
Speaker 1: make sure that that garage door is closed because I

499
00:25:16,640 --> 00:25:18,400
Speaker 1: got a lot of valuable stuff in there, my tools,

500
00:25:18,680 --> 00:25:20,639
Speaker 1: I got my project car in there. Who knows what

501
00:25:20,640 --> 00:25:23,280
Speaker 1: else is in there, but bicycles things like that. See,

502
00:25:23,280 --> 00:25:25,320
Speaker 1: for us, not only do we have stuff that's valuable

503
00:25:25,359 --> 00:25:27,440
Speaker 1: in our garage, but that's a direct route into our

504
00:25:27,480 --> 00:25:31,160
Speaker 1: house and so and so it's where all our other

505
00:25:31,240 --> 00:25:33,560
Speaker 1: stuff happens. To me, yeah and so, so you mean

506
00:25:33,640 --> 00:25:35,080
Speaker 1: when you walked out the door, you didn't say the

507
00:25:35,119 --> 00:25:38,040
Speaker 1: gradge door is locked? We actually say yeah, we say

508
00:25:38,160 --> 00:25:40,639
Speaker 1: we say Dora is down. That is that is the

509
00:25:41,240 --> 00:25:43,600
Speaker 1: that is the key phrase. And I am not joking.

510
00:25:43,680 --> 00:25:47,600
Speaker 1: If we pull out of our home area and neither

511
00:25:47,640 --> 00:25:50,640
Speaker 1: of us have said door is down, that it won't

512
00:25:50,640 --> 00:25:52,720
Speaker 1: come a point where my wife will say, did the

513
00:25:52,720 --> 00:25:55,520
Speaker 1: garage door go down? And because I don't want to

514
00:25:55,720 --> 00:25:57,520
Speaker 1: lie to my wife, like I don't want to get

515
00:25:57,560 --> 00:25:59,880
Speaker 1: to where I'm going, but I never want to get

516
00:25:59,880 --> 00:26:01,840
Speaker 1: to where I'm going more than I want to, you know,

517
00:26:01,880 --> 00:26:03,880
Speaker 1: like that, that's never so great that I will lie.

518
00:26:03,960 --> 00:26:07,119
Speaker 1: I'll say, I don't know. I am turned around and

519
00:26:07,119 --> 00:26:10,119
Speaker 1: go look. I am sometimes ridiculed for my my whispering

520
00:26:10,200 --> 00:26:14,600
Speaker 1: of the graduate doors down. It's when when when you

521
00:26:14,680 --> 00:26:17,919
Speaker 1: say it and you've you've got that, like, all right,

522
00:26:18,119 --> 00:26:20,720
Speaker 1: that chapter is closed. Now a new chapter can begin.

523
00:26:20,800 --> 00:26:22,879
Speaker 1: This is the journey chapter. Isn't it funny? I know

524
00:26:23,000 --> 00:26:27,120
Speaker 1: people have this type of thing. It's very low level

525
00:26:27,160 --> 00:26:28,960
Speaker 1: of c D. I I understand that, I get it,

526
00:26:29,000 --> 00:26:31,199
Speaker 1: But I know people have this for all kinds of

527
00:26:31,240 --> 00:26:34,720
Speaker 1: items in their house and their automobile. This really does

528
00:26:35,160 --> 00:26:37,760
Speaker 1: smooth out some of that. How helpful would that be

529
00:26:37,800 --> 00:26:40,439
Speaker 1: if you're ten miles away and you can check to

530
00:26:40,480 --> 00:26:44,720
Speaker 1: make sure that stupid gradge door is down or otherwise right,

531
00:26:45,160 --> 00:26:48,320
Speaker 1: or you didn't leave the dishwasher on or something when

532
00:26:48,320 --> 00:26:50,639
Speaker 1: you're gone because your fear of you know, flooding the

533
00:26:50,680 --> 00:26:54,200
Speaker 1: kitchen shore. And then and the best things got absolute

534
00:26:54,240 --> 00:26:59,199
Speaker 1: best thing. ALEXA will never mock you for that is

535
00:26:59,200 --> 00:27:01,720
Speaker 1: probably the best part of the whole thing. So moving

536
00:27:01,800 --> 00:27:05,000
Speaker 1: on to some of the other manufacturers that we saw,

537
00:27:05,000 --> 00:27:08,440
Speaker 1: we stopped by Volkswagen. Yes, and uh so. Of course

538
00:27:08,520 --> 00:27:12,639
Speaker 1: Volkswagen obviously still in the wake of the pr disaster

539
00:27:12,840 --> 00:27:16,920
Speaker 1: that was the clean Diesel scandal, so they were they

540
00:27:17,119 --> 00:27:21,080
Speaker 1: trotting out their latest diesel technology. They oddly enough left

541
00:27:21,119 --> 00:27:24,040
Speaker 1: that off the show floor. Is an interesting move. Yeah.

542
00:27:24,080 --> 00:27:27,760
Speaker 1: They instead decided to show off an electric vehicle concept

543
00:27:27,800 --> 00:27:34,159
Speaker 1: design called the Buddy Bud. Yeah. I did that. I

544
00:27:34,200 --> 00:27:36,480
Speaker 1: did that on a previous c S episode and got

545
00:27:36,480 --> 00:27:39,000
Speaker 1: a lot of people saying, I know who Polly Shore is,

546
00:27:39,240 --> 00:27:42,200
Speaker 1: thank you for the poly Shore reference. Um, But yeah,

547
00:27:42,240 --> 00:27:45,919
Speaker 1: the Buddy electric vehicle concept, which it's kind of funny.

548
00:27:46,080 --> 00:27:49,760
Speaker 1: It relates in a way to another car that we'll

549
00:27:49,800 --> 00:27:52,280
Speaker 1: talk about, the F zero one. And I know that

550
00:27:52,320 --> 00:27:56,040
Speaker 1: you and Ben covered Faraday Futures F zero one in

551
00:27:56,080 --> 00:27:59,800
Speaker 1: an episode, right, we did about it, so, uh, in

552
00:27:59,840 --> 00:28:03,840
Speaker 1: a similar way to what that concept was. Volkswagen's idea

553
00:28:03,960 --> 00:28:06,640
Speaker 1: was to create a sort of modular approach to designing

554
00:28:06,640 --> 00:28:10,520
Speaker 1: electric vehicles, and so this was really just a representation

555
00:28:10,680 --> 00:28:13,360
Speaker 1: of that idea. That being said, it kind of had

556
00:28:13,400 --> 00:28:19,480
Speaker 1: this sort of quirky retro futuristic design to it, very angular,

557
00:28:19,680 --> 00:28:23,560
Speaker 1: very uh odd looking. But I really dug it. Do

558
00:28:23,600 --> 00:28:25,040
Speaker 1: you think it? I mean, it was it trying to

559
00:28:25,080 --> 00:28:27,880
Speaker 1: play on the old VU microbus thing. I think so

560
00:28:28,040 --> 00:28:31,560
Speaker 1: a little bit, but definitely in a way that was

561
00:28:31,600 --> 00:28:36,199
Speaker 1: not like it was obviously not a a uh you know,

562
00:28:36,240 --> 00:28:41,200
Speaker 1: a recreation of the microbus just with new lighting and stuff.

563
00:28:41,200 --> 00:28:44,920
Speaker 1: It was the design itself had changed pretty dramatically, Okay,

564
00:28:45,040 --> 00:28:46,680
Speaker 1: And you know I heard one of the one of

565
00:28:46,680 --> 00:28:48,880
Speaker 1: the biggest parts of this whole thing that made it

566
00:28:48,960 --> 00:28:52,200
Speaker 1: interesting was that, uh, it's not going to support any

567
00:28:52,280 --> 00:28:54,600
Speaker 1: kind of It was designed without without the intent to

568
00:28:54,600 --> 00:28:58,400
Speaker 1: support any kind of internal combustion engine. So it's purely electric.

569
00:28:58,920 --> 00:29:01,719
Speaker 1: And they're going full on with this and saying this

570
00:29:01,760 --> 00:29:03,600
Speaker 1: is the way we're gonna We're gonna build this vehicle,

571
00:29:03,720 --> 00:29:06,960
Speaker 1: this platform vehicle. Uh, and it's going to be customizable.

572
00:29:06,960 --> 00:29:08,400
Speaker 1: Of course, we're gonna be able to kind of change

573
00:29:08,440 --> 00:29:11,640
Speaker 1: things around. But they've got an idea that right now

574
00:29:11,720 --> 00:29:14,240
Speaker 1: it's gonna use. It can use up to three different

575
00:29:14,240 --> 00:29:17,200
Speaker 1: types of batteries. Right, So there's three different types. There's

576
00:29:17,440 --> 00:29:21,400
Speaker 1: the cylindrical, pouch and prismatic cells. And I think right

577
00:29:21,400 --> 00:29:23,920
Speaker 1: now they're only using two of those. They're using prismatic

578
00:29:24,040 --> 00:29:28,000
Speaker 1: and pouch cells at this point, so they haven't um

579
00:29:28,200 --> 00:29:31,080
Speaker 1: decided yet on the cylindrical, but they say it gives

580
00:29:31,080 --> 00:29:34,560
Speaker 1: them the flexibility to adapt to whatever becomes the forerunner

581
00:29:34,600 --> 00:29:37,920
Speaker 1: in that field. Right, So with this approach, they can

582
00:29:37,960 --> 00:29:43,000
Speaker 1: design any number of vehicle structures, like whether it's a

583
00:29:43,520 --> 00:29:47,040
Speaker 1: car or a van or whatever, they can go with

584
00:29:47,080 --> 00:29:50,520
Speaker 1: that because of this modular approach. Uh, they just change

585
00:29:50,640 --> 00:29:53,040
Speaker 1: out the size of the battery, the capacity of the

586
00:29:53,040 --> 00:29:56,880
Speaker 1: battery essentially, and the size of the chassis obviously, but

587
00:29:57,560 --> 00:30:00,800
Speaker 1: it gives them a common starting ground for lots of

588
00:30:00,800 --> 00:30:05,200
Speaker 1: different vehicle types. And the battery pack itself is flat

589
00:30:05,560 --> 00:30:08,280
Speaker 1: and fits under the car, so you get this nice

590
00:30:08,280 --> 00:30:13,760
Speaker 1: flat interior which made it incredibly roomy on the inside.

591
00:30:13,800 --> 00:30:15,600
Speaker 1: Not that we were allowed to get in. No one

592
00:30:15,640 --> 00:30:18,479
Speaker 1: was allowed to get very close to this thing, at

593
00:30:18,520 --> 00:30:20,600
Speaker 1: least at the time we were there. It's surprising, isn't it,

594
00:30:20,680 --> 00:30:22,520
Speaker 1: how much how much room that free up when it's

595
00:30:22,520 --> 00:30:25,080
Speaker 1: a flat floor, Like, yeah, it is phenomenal where it's

596
00:30:25,120 --> 00:30:27,520
Speaker 1: just like you just look at it and you think, wow,

597
00:30:27,560 --> 00:30:30,520
Speaker 1: I I would have so much room to stretch out,

598
00:30:30,760 --> 00:30:33,480
Speaker 1: and you know, you could even have luggage in the

599
00:30:34,360 --> 00:30:37,400
Speaker 1: cabin along with passengers and it's wouldn't even get in

600
00:30:37,440 --> 00:30:39,320
Speaker 1: the way you get in. It feels like an empty

601
00:30:39,320 --> 00:30:42,000
Speaker 1: bus or something. Yeah, big yeah, And it has the

602
00:30:42,720 --> 00:30:46,560
Speaker 1: Buddy concept car had two motors, two electric motors, one

603
00:30:46,600 --> 00:30:49,520
Speaker 1: for the front wheels, one for the back. Um supposedly

604
00:30:49,600 --> 00:30:53,960
Speaker 1: had a hundred and one kilowatt hour capacity battery that

605
00:30:54,040 --> 00:30:57,440
Speaker 1: would provide a driving range of three seventy three miles,

606
00:30:57,480 --> 00:31:01,760
Speaker 1: although when asked about it, Volkswagen is actually said, actually,

607
00:31:01,760 --> 00:31:05,200
Speaker 1: that's what we're working toward, that's our goal. We're not

608
00:31:05,440 --> 00:31:07,800
Speaker 1: there yet, so they packed it down a bit. Yeah.

609
00:31:08,080 --> 00:31:11,360
Speaker 1: Most people say around three hundred miles. Max Nassy I

610
00:31:11,360 --> 00:31:13,520
Speaker 1: saw a different number that said when they ran it

611
00:31:13,560 --> 00:31:16,600
Speaker 1: through testing based on the U S E P A cycle,

612
00:31:16,760 --> 00:31:18,960
Speaker 1: So you know, the way that they normally determined for

613
00:31:19,240 --> 00:31:22,760
Speaker 1: these electric vehicles. The comparison miles, I guess, and the equivalent.

614
00:31:23,120 --> 00:31:25,240
Speaker 1: They said the equivalent was going to be two thirty

615
00:31:25,320 --> 00:31:28,680
Speaker 1: three miles. But that's you know what I should even

616
00:31:28,680 --> 00:31:30,840
Speaker 1: say per gallon, that's the range. That's how long these

617
00:31:30,840 --> 00:31:33,440
Speaker 1: batteries were less two or thirty three. That's a significant

618
00:31:33,520 --> 00:31:36,560
Speaker 1: drop from what they came out with. Yeah, more than Yeah,

619
00:31:36,640 --> 00:31:38,640
Speaker 1: so when they say three d seventy three and it

620
00:31:38,680 --> 00:31:41,680
Speaker 1: goes to significant. But what is interesting, and they didn't

621
00:31:41,680 --> 00:31:44,960
Speaker 1: back down on this, is that they can charge of

622
00:31:45,000 --> 00:31:48,360
Speaker 1: the battery capacity in about fifteen minutes. And that's pretty good. Yeah.

623
00:31:48,400 --> 00:31:50,640
Speaker 1: If that, if that holds, if that sticks, and that's true,

624
00:31:51,120 --> 00:31:54,000
Speaker 1: that's really good. That's significant step forward. It's good. I

625
00:31:54,080 --> 00:31:58,000
Speaker 1: don't know, that's good enough. Like like Tesla's idea about

626
00:31:58,040 --> 00:32:00,560
Speaker 1: having not just the super fast charging stage, but also

627
00:32:00,640 --> 00:32:04,040
Speaker 1: the option to switch out a battery if you are

628
00:32:04,240 --> 00:32:06,200
Speaker 1: on the go. That makes a lot of sense for

629
00:32:06,240 --> 00:32:08,120
Speaker 1: people who are used to being able to pull into

630
00:32:08,160 --> 00:32:10,120
Speaker 1: a gas station and refill in a couple of minutes.

631
00:32:10,240 --> 00:32:12,840
Speaker 1: It does. But look, I'm on gas stations. There are yeah,

632
00:32:13,000 --> 00:32:15,320
Speaker 1: I mean they're there are four on every corner. Yeah,

633
00:32:15,760 --> 00:32:18,520
Speaker 1: that's true. Well, I don't mean, I don't mean to

634
00:32:18,560 --> 00:32:21,960
Speaker 1: shoot you down on that quick changing things. They can

635
00:32:21,960 --> 00:32:24,920
Speaker 1: be far they can be a lot fewer and far between.

636
00:32:25,000 --> 00:32:28,080
Speaker 1: I suppose for for the for the battery swaps, the

637
00:32:28,360 --> 00:32:31,120
Speaker 1: the supercharger stations. However, I think those have to be

638
00:32:31,680 --> 00:32:35,200
Speaker 1: h fairly common because a Tesla right now, a model

639
00:32:35,440 --> 00:32:38,160
Speaker 1: s the charge times. If you have a supercharger station

640
00:32:38,240 --> 00:32:40,040
Speaker 1: or I think that's what they call it supercharger station,

641
00:32:40,520 --> 00:32:42,600
Speaker 1: it takes you about one hour to fully charge the

642
00:32:42,600 --> 00:32:44,880
Speaker 1: battery and that's the three mile range. But if you

643
00:32:44,960 --> 00:32:47,320
Speaker 1: don't have a supercharger station, you're just relying on plane

644
00:32:47,320 --> 00:32:50,520
Speaker 1: old electricity from the wall plug in. Uh, you get

645
00:32:50,560 --> 00:32:52,920
Speaker 1: something like twenty two miles of range for every hour

646
00:32:53,040 --> 00:32:56,400
Speaker 1: of charging. So that's a significant drop in Well, it's

647
00:32:56,440 --> 00:32:58,960
Speaker 1: a it's an increase in the time that would get somewhere.

648
00:32:59,360 --> 00:33:03,920
Speaker 1: So mean for VW, say of battery capacity in fifteen minutes,

649
00:33:03,920 --> 00:33:06,840
Speaker 1: so what's of two thirty two or thirty three miles

650
00:33:06,840 --> 00:33:11,000
Speaker 1: that's pretty good. Yeah, No, that's it's is definitely significant. Uh.

651
00:33:11,040 --> 00:33:13,920
Speaker 1: And you know they had some other cool features on this,

652
00:33:14,000 --> 00:33:18,440
Speaker 1: including a big display screens that would replace your typical dashboard,

653
00:33:18,520 --> 00:33:21,800
Speaker 1: so it was like a bunch of almost like tablets

654
00:33:22,040 --> 00:33:26,000
Speaker 1: style computers. Um plus just your controls. Just your controls

655
00:33:26,000 --> 00:33:29,120
Speaker 1: were huge with cars this year. That's that's where you

656
00:33:29,120 --> 00:33:31,120
Speaker 1: don't even have to touch the screen. You can move

657
00:33:31,160 --> 00:33:34,800
Speaker 1: your hands at a certain height and camera will detect

658
00:33:34,800 --> 00:33:36,960
Speaker 1: the presence of your hand and then interpret that as

659
00:33:37,000 --> 00:33:40,240
Speaker 1: a command, so you can swipe through options or select

660
00:33:40,320 --> 00:33:43,800
Speaker 1: something by typically acting like you're pushing a button in

661
00:33:43,840 --> 00:33:46,400
Speaker 1: mid air. That tends to be the like you're playing

662
00:33:46,800 --> 00:33:49,320
Speaker 1: charades or something. Yeah, you know, I saw that this

663
00:33:49,360 --> 00:33:51,840
Speaker 1: is an infrared system, So it's kind of a cost

664
00:33:51,840 --> 00:33:53,800
Speaker 1: cutting measure on their part because there are other ways

665
00:33:53,840 --> 00:33:56,560
Speaker 1: to do it as well, but this one they claim

666
00:33:56,560 --> 00:33:59,200
Speaker 1: they're Gonnasse infra red just to keep cost down. Again,

667
00:33:59,360 --> 00:34:01,720
Speaker 1: this is not really meant to be a production model.

668
00:34:02,200 --> 00:34:04,600
Speaker 1: It's strictly a show car. It's just really to show

669
00:34:04,640 --> 00:34:07,800
Speaker 1: off the technologies that that Volkswagen has been working with,

670
00:34:08,600 --> 00:34:12,560
Speaker 1: many of which may find their way into production vehicles

671
00:34:13,160 --> 00:34:17,319
Speaker 1: in the future, but not necessarily the Buddy itself. You're

672
00:34:17,360 --> 00:34:20,200
Speaker 1: not gonna find the Buddy on a on a show

673
00:34:20,239 --> 00:34:22,719
Speaker 1: floor for you to purchase. It's just a rolling test

674
00:34:22,760 --> 00:34:24,680
Speaker 1: bed at this point. In fact, I should say that

675
00:34:24,680 --> 00:34:28,879
Speaker 1: that I suspect at least a few of the vehicles

676
00:34:28,920 --> 00:34:31,479
Speaker 1: on the showroom floor at ce S are no more

677
00:34:31,520 --> 00:34:34,360
Speaker 1: than a shell with nothing that actually makes the thing go.

678
00:34:35,000 --> 00:34:38,160
Speaker 1: I think fairadays like that, isn't it. I remember trying

679
00:34:38,160 --> 00:34:40,000
Speaker 1: to remember back to our program, and I think that

680
00:34:40,120 --> 00:34:42,399
Speaker 1: it's it's not really on a power platform at this point.

681
00:34:42,440 --> 00:34:45,560
Speaker 1: It's all theoretical. Yeah. I do not know the answer

682
00:34:45,600 --> 00:34:48,080
Speaker 1: to that to be able to say definitively one way

683
00:34:48,160 --> 00:34:50,440
Speaker 1: or the other, but it would not surprise me. I'll

684
00:34:50,480 --> 00:34:53,760
Speaker 1: tell you that's not anything brand new. Really show cars,

685
00:34:53,840 --> 00:34:56,279
Speaker 1: even at the big auto shows in the past, there

686
00:34:56,320 --> 00:34:57,960
Speaker 1: have been many times when they have to be pushed

687
00:34:57,960 --> 00:35:00,279
Speaker 1: out on the stage or or they have some just

688
00:35:00,520 --> 00:35:04,160
Speaker 1: really low, low power module underneath. It's not like what

689
00:35:04,200 --> 00:35:06,560
Speaker 1: they claim is under the hood. Um, you know, it's

690
00:35:06,600 --> 00:35:08,319
Speaker 1: just something just to get out on the stage for

691
00:35:08,360 --> 00:35:10,600
Speaker 1: the show and that's about it. Yeah, never never look

692
00:35:10,680 --> 00:35:12,240
Speaker 1: under the hood. I know that one of the Toyota

693
00:35:12,280 --> 00:35:15,160
Speaker 1: fuel cell vehicles was like that, and that the chassis

694
00:35:15,200 --> 00:35:18,719
Speaker 1: they were showing off was a concept, but the car

695
00:35:18,800 --> 00:35:21,320
Speaker 1: underneath it was not actually a fuel cell vehicle. Whereas

696
00:35:21,360 --> 00:35:24,520
Speaker 1: the fuel cell vehicle they had on display was using

697
00:35:24,560 --> 00:35:29,640
Speaker 1: a modified Toyota previously existing Toyota model as the chassis.

698
00:35:30,160 --> 00:35:32,440
Speaker 1: So it's just one of those things where it's it's

699
00:35:32,480 --> 00:35:34,960
Speaker 1: like we have the idea, we have the technology, we

700
00:35:35,000 --> 00:35:37,320
Speaker 1: haven't gotten into production yet, so we don't have a

701
00:35:37,719 --> 00:35:40,600
Speaker 1: model that actually works with the technology. We're talking about

702
00:35:40,640 --> 00:35:43,160
Speaker 1: fully fully formed. And that's not every case. I mean,

703
00:35:43,160 --> 00:35:46,759
Speaker 1: they've been running driving concept cars or they called dream

704
00:35:46,800 --> 00:35:49,480
Speaker 1: cars for decades, of course, you know, since the beginning,

705
00:35:49,520 --> 00:35:51,920
Speaker 1: but there were always those cases where they bring out

706
00:35:51,960 --> 00:35:55,319
Speaker 1: some just crazy design that doesn't really have anything under

707
00:35:55,320 --> 00:35:57,239
Speaker 1: the hood or anything. And and it was kind of

708
00:35:57,239 --> 00:35:59,520
Speaker 1: a big deal again back in the late eighties and

709
00:35:59,560 --> 00:36:05,160
Speaker 1: early intees when companies started making running driving production rather

710
00:36:05,760 --> 00:36:08,560
Speaker 1: prototype vehicles. Um, all these concept cars, and it was

711
00:36:08,640 --> 00:36:10,680
Speaker 1: kind of like this thing really drives, Like I mean,

712
00:36:10,680 --> 00:36:13,040
Speaker 1: it's the I think I'm I'm not gonna say the

713
00:36:13,040 --> 00:36:15,400
Speaker 1: first or anything, but I remember like hearing about the

714
00:36:15,480 --> 00:36:18,400
Speaker 1: Viper Dodge Viper, and they're like listening, actually drives, we

715
00:36:18,400 --> 00:36:21,080
Speaker 1: can drive it on the Indian Apples five under track, Like,

716
00:36:21,160 --> 00:36:24,160
Speaker 1: no way, that thing actually has a V ten And

717
00:36:24,480 --> 00:36:27,160
Speaker 1: you know they claim it did, but it really did.

718
00:36:27,440 --> 00:36:29,640
Speaker 1: And the Plymouth Prowler, and you know, vehicles like that

719
00:36:29,760 --> 00:36:32,120
Speaker 1: along the way that you thought and making all the

720
00:36:32,160 --> 00:36:35,160
Speaker 1: cars that I thought were awesome when I was younger. Yeah, sure,

721
00:36:35,280 --> 00:36:38,080
Speaker 1: well that's that's when that's kind of the resurgence of like, well,

722
00:36:38,080 --> 00:36:40,680
Speaker 1: this thing actually does what we say it does. It's

723
00:36:40,680 --> 00:36:43,799
Speaker 1: not it's not just a shell. Yeah. There were some

724
00:36:43,840 --> 00:36:47,680
Speaker 1: other cool technologies on display to stick with a connected

725
00:36:47,719 --> 00:36:51,440
Speaker 1: car and just your controls. BMW showed off their ie

726
00:36:51,560 --> 00:36:55,160
Speaker 1: Vision Future Interaction Platform, which again is another network car.

727
00:36:55,400 --> 00:36:58,479
Speaker 1: All those commands that you would issue to the car

728
00:36:58,600 --> 00:37:02,640
Speaker 1: can be done by touchscreen or by voice control or

729
00:37:02,719 --> 00:37:07,120
Speaker 1: again by gestures um. And the steering wheel actually, did

730
00:37:07,120 --> 00:37:10,480
Speaker 1: you see the steering wheel on this thing with the lights? Okay,

731
00:37:10,520 --> 00:37:14,120
Speaker 1: So there are three different modes of driving this vehicle.

732
00:37:14,160 --> 00:37:16,920
Speaker 1: There's pure drive, where the vehicle is under the control

733
00:37:17,040 --> 00:37:21,560
Speaker 1: of a human driver, at least presumably a human driver.

734
00:37:21,120 --> 00:37:24,640
Speaker 1: A driver could be a dog. You would hope it

735
00:37:24,640 --> 00:37:27,160
Speaker 1: would not be, suppose it could be at this point.

736
00:37:27,520 --> 00:37:30,520
Speaker 1: Then there was assist mode, which was kind of where

737
00:37:30,560 --> 00:37:34,040
Speaker 1: you have that autonomous ability to kick into gear should

738
00:37:34,040 --> 00:37:37,480
Speaker 1: something go wrong, to protect the driver and the car,

739
00:37:37,920 --> 00:37:41,200
Speaker 1: and then you had pure autonomous mode or auto mode,

740
00:37:41,680 --> 00:37:45,040
Speaker 1: and the steering wheel would light up to indicate which

741
00:37:45,040 --> 00:37:47,000
Speaker 1: mode you were in. So if you were in automode,

742
00:37:47,040 --> 00:37:50,560
Speaker 1: it would be blue steering wheel like pretty much at

743
00:37:50,600 --> 00:37:55,080
Speaker 1: the um, you know, the three and nine positions up

744
00:37:55,640 --> 00:37:58,040
Speaker 1: would be blue like up to the top. And then

745
00:37:58,080 --> 00:38:01,400
Speaker 1: if you wanted to switch over to pure drive, the

746
00:38:01,520 --> 00:38:04,200
Speaker 1: lights would start to fade down from the top to

747
00:38:04,440 --> 00:38:08,360
Speaker 1: the sides so that it would be an alert saying hey,

748
00:38:08,480 --> 00:38:10,480
Speaker 1: you should probably put your hands on the wheel now

749
00:38:10,960 --> 00:38:13,799
Speaker 1: right about here where the blue light is so so.

750
00:38:13,920 --> 00:38:16,960
Speaker 1: And then before it would switch to pure drive mode,

751
00:38:16,960 --> 00:38:21,560
Speaker 1: the lights turn red to indicate, hey, seriously, take the wheel.

752
00:38:21,880 --> 00:38:24,680
Speaker 1: I'm not in control anymore. All right, let me tell

753
00:38:24,680 --> 00:38:27,000
Speaker 1: you something. Yeah, I got a major problem with this car.

754
00:38:28,040 --> 00:38:30,000
Speaker 1: This is kind of why you invited me here. Is

755
00:38:31,440 --> 00:38:34,000
Speaker 1: this the moment right here? Because this could be a moment.

756
00:38:34,360 --> 00:38:36,319
Speaker 1: Let me tell you, all right, this is the So

757
00:38:36,360 --> 00:38:39,280
Speaker 1: this is the BMW I eight that they have modified.

758
00:38:39,320 --> 00:38:41,480
Speaker 1: There's no doors in this car. There's no hood on

759
00:38:41,480 --> 00:38:44,279
Speaker 1: this car, I mean roof on this carpet. Um. But

760
00:38:44,440 --> 00:38:46,759
Speaker 1: inside is where all this technologies happen. And you get it.

761
00:38:46,760 --> 00:38:48,560
Speaker 1: That's what the showcases. They want you to have a clear,

762
00:38:48,640 --> 00:38:51,360
Speaker 1: unobstructive view of that. So I get it. What I

763
00:38:51,400 --> 00:38:56,200
Speaker 1: almost cannot believe I'm hearing from BMW, which by the way,

764
00:38:56,640 --> 00:39:00,880
Speaker 1: used to be called, uh, the ultimate driving machine, right, okay,

765
00:39:00,880 --> 00:39:03,319
Speaker 1: the ultimate driving machine. Now here's what. Here's what this says.

766
00:39:03,880 --> 00:39:07,920
Speaker 1: BMW's latest technology reduces the amount of driver control to

767
00:39:07,960 --> 00:39:12,160
Speaker 1: a minimum in order to simplify driving, and driving can

768
00:39:12,160 --> 00:39:14,600
Speaker 1: be stressful for some. And that's when it goes into

769
00:39:14,640 --> 00:39:17,440
Speaker 1: the three modes. Come on, this is part of the

770
00:39:17,440 --> 00:39:21,120
Speaker 1: stuff that they that they're you know, this is their message,

771
00:39:20,560 --> 00:39:25,879
Speaker 1: because I get it, okay, and we're all going there,

772
00:39:25,960 --> 00:39:32,480
Speaker 1: some of us are, and but this company in particular,

773
00:39:32,640 --> 00:39:35,040
Speaker 1: and I understand. I understand that, you know, they have

774
00:39:35,120 --> 00:39:37,560
Speaker 1: to keep up. They they have to remain relevant. I

775
00:39:37,600 --> 00:39:39,480
Speaker 1: get That's why they're doing it. So I'm not I'm

776
00:39:39,480 --> 00:39:41,840
Speaker 1: not that old that I don't understand that. I really do.

777
00:39:42,040 --> 00:39:43,920
Speaker 1: They have to remain relevant. They have to they have

778
00:39:43,960 --> 00:39:46,239
Speaker 1: to sell product, right, So that's what they're doing. I

779
00:39:46,280 --> 00:39:49,520
Speaker 1: get it. But for a company that that claims to

780
00:39:49,560 --> 00:39:52,200
Speaker 1: be the ultimate drive machine, and they are known for

781
00:39:52,280 --> 00:39:56,000
Speaker 1: building cars that drivers really really enjoy, they pay a

782
00:39:56,040 --> 00:39:59,279
Speaker 1: premium to drive a BMW because of the experience. It's

783
00:39:59,280 --> 00:40:02,600
Speaker 1: a driver's car. Are there's certain vehicles you could expect

784
00:40:02,600 --> 00:40:04,920
Speaker 1: that out of Porsche as well. Uh, you know, you

785
00:40:04,960 --> 00:40:07,320
Speaker 1: expect a certain experience when you get behind the wheel,

786
00:40:07,560 --> 00:40:10,279
Speaker 1: and this is removing all that. You're just saying, I

787
00:40:10,320 --> 00:40:12,480
Speaker 1: want the I want the brand name. I wanted to

788
00:40:12,480 --> 00:40:14,879
Speaker 1: be this I eighth or whatever platform they put it in.

789
00:40:15,800 --> 00:40:17,200
Speaker 1: But I don't really want to do anything. I don't

790
00:40:17,239 --> 00:40:19,359
Speaker 1: want to experience that anymore. I'd rather just sit back

791
00:40:19,400 --> 00:40:20,960
Speaker 1: and read a book maybe while I go to work.

792
00:40:22,440 --> 00:40:24,759
Speaker 1: Why not take the train it starts? It sounds to

793
00:40:24,760 --> 00:40:29,560
Speaker 1: me like a glorious future. But see where the problem is.

794
00:40:30,239 --> 00:40:32,160
Speaker 1: Your listeners have come to expect this kind of rant

795
00:40:32,200 --> 00:40:35,240
Speaker 1: for me, So why I get you on the show? Honest?

796
00:40:35,480 --> 00:40:38,400
Speaker 1: But but honest, really, I mean, really think about it.

797
00:40:38,440 --> 00:40:40,239
Speaker 1: I mean, this is supposed to be a driver's card.

798
00:40:40,440 --> 00:40:42,879
Speaker 1: It's it's a it's an odd move from this manufacturer.

799
00:40:42,920 --> 00:40:45,080
Speaker 1: That's all on saying. Well, and to be fair, I

800
00:40:45,120 --> 00:40:47,720
Speaker 1: mean they do still have the pure drive mode where

801
00:40:48,000 --> 00:40:51,880
Speaker 1: I think that's what they're relying on that to to

802
00:40:51,920 --> 00:40:57,440
Speaker 1: continue there there kind of their slogan about the driving

803
00:40:57,480 --> 00:41:01,960
Speaker 1: experience while still also investing in these technologies that if

804
00:41:01,960 --> 00:41:05,440
Speaker 1: they don't really look into that, they will literally be

805
00:41:05,560 --> 00:41:08,239
Speaker 1: left behind. And I understand that not every vehicle is

806
00:41:08,280 --> 00:41:10,759
Speaker 1: going to receive this type of treatment. And they got

807
00:41:10,800 --> 00:41:12,600
Speaker 1: the rest of the product line. And if you look

808
00:41:12,640 --> 00:41:15,319
Speaker 1: at BMW's page, you'll see that they have a lot

809
00:41:15,320 --> 00:41:17,799
Speaker 1: of different products that are in fact a lot of

810
00:41:17,800 --> 00:41:20,520
Speaker 1: fun to drive. Did you did you happen to see

811
00:41:20,880 --> 00:41:26,800
Speaker 1: the demonstration of their self parking technology for for the alright,

812
00:41:26,840 --> 00:41:31,240
Speaker 1: so for BMW. So BMW has shown off self parking

813
00:41:31,400 --> 00:41:33,839
Speaker 1: a couple of times, like it's not like it's brand new,

814
00:41:34,200 --> 00:41:37,239
Speaker 1: except that this year they showed off that they had

815
00:41:37,239 --> 00:41:40,399
Speaker 1: a new way to interact with self parking because usually

816
00:41:40,400 --> 00:41:41,719
Speaker 1: you would get out of your car, you might have

817
00:41:41,760 --> 00:41:44,880
Speaker 1: a button on your key fob that says park and

818
00:41:44,920 --> 00:41:46,480
Speaker 1: you would press it in the car would pull itself

819
00:41:46,480 --> 00:41:49,359
Speaker 1: into a parking slot. Very impressive, you know, you know, yeah,

820
00:41:49,360 --> 00:41:52,759
Speaker 1: And you could even maybe with something like Alexa have

821
00:41:53,000 --> 00:41:55,719
Speaker 1: voice control where you could say park the car and

822
00:41:55,719 --> 00:41:57,960
Speaker 1: then jump out and it would probably a car that

823
00:41:57,960 --> 00:42:01,600
Speaker 1: would be cool too. BMW decided to go the air

824
00:42:01,640 --> 00:42:06,080
Speaker 1: controller route, but just your controls. You can actually just

825
00:42:06,239 --> 00:42:09,120
Speaker 1: your to your car, no way to take to take

826
00:42:09,160 --> 00:42:12,440
Speaker 1: a spot, and to to move the car while you're

827
00:42:12,440 --> 00:42:15,680
Speaker 1: outside of it to go and part really yeah, they

828
00:42:15,680 --> 00:42:18,920
Speaker 1: actually showed off. They had journalists sit in the passenger side,

829
00:42:19,560 --> 00:42:23,640
Speaker 1: no one in the driver's seat, have a BMW representative

830
00:42:23,840 --> 00:42:27,600
Speaker 1: standing there gesturing to the car and to the parking space,

831
00:42:27,920 --> 00:42:30,160
Speaker 1: and the car would maneuver over into the parking I've

832
00:42:30,160 --> 00:42:31,440
Speaker 1: got to ask you this, do you have to have

833
00:42:31,480 --> 00:42:33,560
Speaker 1: those flashlights with the cones on the end to do this?

834
00:42:33,719 --> 00:42:37,200
Speaker 1: You have to have them, but I think it presents

835
00:42:37,200 --> 00:42:40,200
Speaker 1: a certain element of style. I absolutely would plus the

836
00:42:41,280 --> 00:42:44,360
Speaker 1: giant ear mud right exactly. You know, the BMW engines

837
00:42:44,440 --> 00:42:46,920
Speaker 1: can get loud, so you want to be able to

838
00:42:46,920 --> 00:42:51,360
Speaker 1: protect your ears. But yeah, so that's that's that's a

839
00:42:51,400 --> 00:42:54,280
Speaker 1: shock to me. I I'll have to seek a video

840
00:42:54,280 --> 00:42:56,560
Speaker 1: of this because I've got to see somebody directing their

841
00:42:56,600 --> 00:42:58,480
Speaker 1: car as if it's an airplane into a park. I

842
00:42:58,560 --> 00:43:00,239
Speaker 1: think it was. I want to say it was the

843
00:43:00,360 --> 00:43:04,520
Speaker 1: Verge where I saw the video demonstration of this particular technology.

844
00:43:05,360 --> 00:43:07,040
Speaker 1: I should go on to say I didn't get a

845
00:43:07,120 --> 00:43:09,480
Speaker 1: chance to see this personally. This was something that I

846
00:43:09,520 --> 00:43:11,080
Speaker 1: saw after I got back. This is one of the

847
00:43:11,120 --> 00:43:14,840
Speaker 1: most frustrating things about attending cees is you get to

848
00:43:14,840 --> 00:43:17,040
Speaker 1: see a lot of really cool stuff, but when you

849
00:43:17,040 --> 00:43:19,200
Speaker 1: come back, you see all this really cool stuff that

850
00:43:19,239 --> 00:43:21,920
Speaker 1: you didn't have a chance to experience yourself. There's just

851
00:43:21,960 --> 00:43:24,080
Speaker 1: no way, There's no no, there is absolutely no way.

852
00:43:24,280 --> 00:43:27,480
Speaker 1: Like even if you spent every single second running from

853
00:43:27,520 --> 00:43:31,360
Speaker 1: thing to thing, you would still miss stuff. Um. So

854
00:43:31,760 --> 00:43:35,759
Speaker 1: next we have Kia, which normally have I think I

855
00:43:35,760 --> 00:43:38,680
Speaker 1: wouldn't have even wouldn't have even registered with me. But

856
00:43:38,760 --> 00:43:42,680
Speaker 1: again Kia again moving on this this same sort of

857
00:43:43,000 --> 00:43:47,480
Speaker 1: autonomous car bandwagon, I guess you could call it, UM

858
00:43:47,600 --> 00:43:51,920
Speaker 1: introduced its drive Wise platform. Yeah, on the Soul e

859
00:43:52,080 --> 00:43:54,640
Speaker 1: V platform. Right, so, uh, you know, it's in a

860
00:43:54,680 --> 00:43:58,319
Speaker 1: product that they currently build, which makes sense. It's not

861
00:43:58,360 --> 00:44:00,320
Speaker 1: like to bring out some concept vehicle that's the you

862
00:44:00,360 --> 00:44:02,399
Speaker 1: know Pye in this guy idea that maybe will never happen.

863
00:44:02,400 --> 00:44:05,680
Speaker 1: They're saying, now we're gonna put it into our actual product. Right.

864
00:44:05,719 --> 00:44:07,520
Speaker 1: Here's what here, here's what we have available right now

865
00:44:07,560 --> 00:44:10,160
Speaker 1: that it works in. Yeah, and so right now, it's

866
00:44:10,239 --> 00:44:15,160
Speaker 1: kind of a a advanced driver assistance system or ads.

867
00:44:15,920 --> 00:44:18,279
Speaker 1: It's one of those where again similar to what I

868
00:44:18,280 --> 00:44:20,920
Speaker 1: was talking about with Toyota, with with pretty much everybody

869
00:44:20,960 --> 00:44:24,440
Speaker 1: like it's this idea of a computer assisting a driver,

870
00:44:24,920 --> 00:44:28,800
Speaker 1: normally just to intervene when there's something that the driver

871
00:44:28,920 --> 00:44:32,080
Speaker 1: has not noticed or has it doesn't have the time

872
00:44:32,080 --> 00:44:34,560
Speaker 1: to react to him or herself. So this is the

873
00:44:34,719 --> 00:44:39,080
Speaker 1: partially autonomous system, right because they've got to release dates. Yes,

874
00:44:39,400 --> 00:44:41,640
Speaker 1: this was the earlier one, the earlier one which is

875
00:44:41,640 --> 00:44:46,440
Speaker 1: scheduled to debut in and then another full ten years

876
00:44:46,480 --> 00:44:49,319
Speaker 1: beyond that. So when is when they're gonna come out

877
00:44:49,360 --> 00:44:52,239
Speaker 1: with the fully autonomous version. That's what they're projecting right now.

878
00:44:52,280 --> 00:44:55,080
Speaker 1: I think, honestly, Scott, if I have to be like

879
00:44:55,560 --> 00:44:57,759
Speaker 1: if you nailed me down, I'd have to say I

880
00:44:57,800 --> 00:45:00,359
Speaker 1: think a lot of these car companies are purposefully being

881
00:45:00,440 --> 00:45:06,400
Speaker 1: conservative with those guesses. I think I think certain companies

882
00:45:06,440 --> 00:45:10,880
Speaker 1: that are not car companies, like Google, are really pushing

883
00:45:11,200 --> 00:45:15,080
Speaker 1: the envelope as far as the autonomous car technology goes

884
00:45:15,480 --> 00:45:19,839
Speaker 1: to the point where there will be enough demand from

885
00:45:19,880 --> 00:45:23,839
Speaker 1: the consumer for some of those dates to get moved up.

886
00:45:24,280 --> 00:45:26,000
Speaker 1: And I just think a lot of the car companies

887
00:45:26,000 --> 00:45:28,120
Speaker 1: are trying to do two things. One, they want to

888
00:45:28,120 --> 00:45:30,279
Speaker 1: make sure that they give themselves enough time to really

889
00:45:30,280 --> 00:45:33,000
Speaker 1: develop the technology so that the vehicles they put out

890
00:45:33,000 --> 00:45:38,080
Speaker 1: are safe. Nobody wants the autonomous car version of the

891
00:45:38,160 --> 00:45:41,399
Speaker 1: clean diesel scandal because that's a version where people will

892
00:45:41,440 --> 00:45:45,239
Speaker 1: lose their lives. So obviously there's that. And I think

893
00:45:45,280 --> 00:45:48,799
Speaker 1: the other one is just that there's this fear, a

894
00:45:48,880 --> 00:45:52,239
Speaker 1: well founded one. I would argue that the autonomous car

895
00:45:52,320 --> 00:45:55,560
Speaker 1: future is also going to be the future where fewer

896
00:45:55,640 --> 00:45:59,160
Speaker 1: people own personal vehicles. Yeah, no argument for me on

897
00:45:59,200 --> 00:46:01,120
Speaker 1: those points. I think that's really gonna happen. I think

898
00:46:01,120 --> 00:46:02,759
Speaker 1: a lot of people are going to jump on this

899
00:46:02,840 --> 00:46:05,359
Speaker 1: and want that, and I think that manufacturers are kind

900
00:46:05,360 --> 00:46:08,600
Speaker 1: of hedging their bets a little bit insane when we're

901
00:46:08,600 --> 00:46:10,839
Speaker 1: gonna be fully autonomous. But I wouldn't be surprised if

902
00:46:10,840 --> 00:46:13,160
Speaker 1: that date moves up by five years. I mean a

903
00:46:13,160 --> 00:46:15,640
Speaker 1: long long way. It's kind of that under promise over

904
00:46:15,680 --> 00:46:17,680
Speaker 1: deliver thing, right, I mean, you don't want to say

905
00:46:17,800 --> 00:46:20,640
Speaker 1: in we're gonna have a fully autonomous line and it's

906
00:46:20,640 --> 00:46:23,400
Speaker 1: gonna be fantastic, and then rolls around you look back

907
00:46:23,440 --> 00:46:25,879
Speaker 1: at that news story and then you you know, kind

908
00:46:25,880 --> 00:46:28,640
Speaker 1: of press Kia and say well where the fully autonomous

909
00:46:28,719 --> 00:46:30,880
Speaker 1: vehicles and they have to kind of put their you know,

910
00:46:31,239 --> 00:46:35,040
Speaker 1: head down and say well kick kick, yeah, you know,

911
00:46:35,160 --> 00:46:38,640
Speaker 1: maybe in five more years spot to be in. I

912
00:46:38,640 --> 00:46:40,800
Speaker 1: think I think part of it is also the idea

913
00:46:40,840 --> 00:46:42,920
Speaker 1: that if you'd go with the driver assist route rather

914
00:46:42,920 --> 00:46:48,000
Speaker 1: than the fully autonomous route, you can keep that culture

915
00:46:48,160 --> 00:46:52,200
Speaker 1: of personal car ownership going longer, right, because people will

916
00:46:52,200 --> 00:46:56,120
Speaker 1: be interested in driving with these kind of vehicles. It's

917
00:46:56,120 --> 00:46:58,560
Speaker 1: when you go the fully autonomous route where one vehicle

918
00:46:58,600 --> 00:47:01,680
Speaker 1: price gets so high that the average person starts to

919
00:47:01,680 --> 00:47:06,239
Speaker 1: have trouble affording one and two. There's less need to

920
00:47:06,280 --> 00:47:10,040
Speaker 1: have one and densely populated areas. Obviously in rural areas

921
00:47:10,560 --> 00:47:13,720
Speaker 1: that's a totally different story. But but in cities where

922
00:47:13,840 --> 00:47:18,800
Speaker 1: you could presume presumably get a service going with electric

923
00:47:19,480 --> 00:47:23,960
Speaker 1: or not even electric, but fully autonomous vehicles, um, then

924
00:47:24,120 --> 00:47:26,839
Speaker 1: there's very little reason to own your own desk. See.

925
00:47:26,840 --> 00:47:29,200
Speaker 1: I totally understand that there's a time and place for

926
00:47:29,200 --> 00:47:31,239
Speaker 1: this type of thing, and really it does work in

927
00:47:31,280 --> 00:47:34,480
Speaker 1: some situations. Other situations there's just no way that it

928
00:47:34,480 --> 00:47:37,239
Speaker 1: would work. There as certain people that this type of

929
00:47:37,560 --> 00:47:40,600
Speaker 1: this type of idea this car sharing idea, this uh. Um,

930
00:47:40,880 --> 00:47:43,879
Speaker 1: even even e V cars at this point the way

931
00:47:43,880 --> 00:47:46,720
Speaker 1: they are right now wouldn't work for a lot of people,

932
00:47:47,880 --> 00:47:49,319
Speaker 1: But for a lot of people they do, and it's

933
00:47:49,320 --> 00:47:52,239
Speaker 1: a great thing. And I get the move to autonomous

934
00:47:52,239 --> 00:47:55,120
Speaker 1: and people's excitement around it, but um, I don't think

935
00:47:55,120 --> 00:47:58,839
Speaker 1: it's ever gonna go on either way. Yeah. I I

936
00:47:58,920 --> 00:48:02,640
Speaker 1: used to be ung ho autonomous, but I've eased off

937
00:48:02,640 --> 00:48:05,319
Speaker 1: on that a little bit just because I recognize there

938
00:48:05,320 --> 00:48:07,759
Speaker 1: are I'm thinking of it too narrowly, right, I'm thinking

939
00:48:07,800 --> 00:48:11,120
Speaker 1: of it from my perspective, my own personal experience of

940
00:48:11,680 --> 00:48:15,279
Speaker 1: using vehicles. For me, it makes perfect sense pretty much

941
00:48:15,320 --> 00:48:19,080
Speaker 1: all the time. But there are plenty of outliers that

942
00:48:19,480 --> 00:48:22,440
Speaker 1: you would say, all right, well, no, personal ownership is

943
00:48:22,440 --> 00:48:25,440
Speaker 1: never going to completely go away, not as long as

944
00:48:25,480 --> 00:48:28,520
Speaker 1: we still have people living outside of urban areas, and

945
00:48:28,719 --> 00:48:31,960
Speaker 1: presumably that's going to continue. Um. But to get back

946
00:48:31,960 --> 00:48:34,040
Speaker 1: to Kia, I want to ask you this, did you

947
00:48:34,120 --> 00:48:40,200
Speaker 1: happen to look at their blind control system? So it's

948
00:48:40,200 --> 00:48:46,000
Speaker 1: a fingerprint scanner that identifies the driver, and then as

949
00:48:46,040 --> 00:48:49,759
Speaker 1: you drive the vehicle, the vehicle begins to learn your

950
00:48:49,840 --> 00:48:53,719
Speaker 1: style and it learns what temperature you like to keep

951
00:48:53,719 --> 00:48:56,239
Speaker 1: the car, and what stations you tend to listen to

952
00:48:56,480 --> 00:48:59,640
Speaker 1: and UH and other ways that you actually handle the

953
00:48:59,719 --> 00:49:02,640
Speaker 1: vehicle while you're driving it, and it builds a profile.

954
00:49:03,800 --> 00:49:07,239
Speaker 1: It's personalized to you. And then if someone else drives

955
00:49:07,280 --> 00:49:09,719
Speaker 1: the car and scans their fingerprint, they get a profile.

956
00:49:09,960 --> 00:49:11,920
Speaker 1: And then every time you drive the car afterward, when

957
00:49:11,960 --> 00:49:15,399
Speaker 1: you scan it knows it's you automatically adjust saw those

958
00:49:15,400 --> 00:49:18,640
Speaker 1: settings so that you get the driving experience you want

959
00:49:18,760 --> 00:49:21,680
Speaker 1: and the other driver gets see driving experience they want. Now,

960
00:49:21,719 --> 00:49:24,399
Speaker 1: there have been very analog versions of this along the way.

961
00:49:24,440 --> 00:49:27,359
Speaker 1: You can say this is this is driver one, driver

962
00:49:27,440 --> 00:49:29,759
Speaker 1: to driver three and hit the button and the seat

963
00:49:29,840 --> 00:49:33,040
Speaker 1: changes position, the steering wheel chaines position, the temperature controls,

964
00:49:33,040 --> 00:49:35,640
Speaker 1: the radio stations, all that, I get it. But this

965
00:49:35,719 --> 00:49:40,000
Speaker 1: is doing it with with fingerprint technology. Um, that's pretty interesting.

966
00:49:40,040 --> 00:49:41,440
Speaker 1: And you know, it's kind of reminds me of the

967
00:49:41,480 --> 00:49:44,040
Speaker 1: way that the houses, as smart houses can adapt to

968
00:49:44,080 --> 00:49:45,640
Speaker 1: the way and you know that they know that at

969
00:49:45,640 --> 00:49:46,960
Speaker 1: a certain time you come up from work and you

970
00:49:47,040 --> 00:49:49,799
Speaker 1: want the temperature to certain setting. You want this light

971
00:49:49,840 --> 00:49:52,040
Speaker 1: on but not that one, and then later in the

972
00:49:52,040 --> 00:49:54,359
Speaker 1: evening turned that one off, turned that one on, and

973
00:49:54,840 --> 00:49:57,239
Speaker 1: it starts to learn your patterns and and things like that.

974
00:49:57,600 --> 00:49:59,680
Speaker 1: I can see these two things working together. It's like,

975
00:50:00,200 --> 00:50:01,680
Speaker 1: not pretty soon, you're just gonna be able to walk.

976
00:50:01,760 --> 00:50:03,400
Speaker 1: You're gonna be able to walk through life without ever

977
00:50:03,520 --> 00:50:06,319
Speaker 1: having to push another button or flip another switch. Yeah,

978
00:50:06,400 --> 00:50:09,279
Speaker 1: I've always I've always mentioned this as uh, you know,

979
00:50:09,520 --> 00:50:11,600
Speaker 1: it will come down to a conversation between you and

980
00:50:11,640 --> 00:50:15,719
Speaker 1: another person about what's your reality like? Because here, here's

981
00:50:15,760 --> 00:50:18,880
Speaker 1: what my reality is like, because everything is customizing itself

982
00:50:18,960 --> 00:50:23,799
Speaker 1: to my convenience, my comfort, my preferences. So what's yours like?

983
00:50:23,880 --> 00:50:25,759
Speaker 1: Because I bet you are a little different from me,

984
00:50:26,239 --> 00:50:29,840
Speaker 1: and I'm curious what how you experience life compared to

985
00:50:29,840 --> 00:50:32,440
Speaker 1: how I experienced life. That's gonna be a real conversation

986
00:50:32,520 --> 00:50:34,239
Speaker 1: in a few years. And it's strange, isn't it That

987
00:50:34,280 --> 00:50:36,400
Speaker 1: you won't have it. You won't have the same environment

988
00:50:36,440 --> 00:50:38,600
Speaker 1: that you you share, really because everything will be so

989
00:50:39,400 --> 00:50:42,600
Speaker 1: as you said, tailored I guess, to custom fit to you.

990
00:50:42,920 --> 00:50:45,000
Speaker 1: It's gonna be so different. It's really it's really weird

991
00:50:45,040 --> 00:50:47,479
Speaker 1: to think, like you you won't have to again flip

992
00:50:47,520 --> 00:50:50,080
Speaker 1: a sweet You won't if you do anything manually practically anymore.

993
00:50:50,280 --> 00:50:53,040
Speaker 1: I do think smart thermostats are gonna have to start

994
00:50:53,080 --> 00:50:58,440
Speaker 1: seeking therapy for families like mine, where the preference is

995
00:50:58,760 --> 00:51:01,560
Speaker 1: a matter of a couple of reas and it's it's

996
00:51:01,600 --> 00:51:06,000
Speaker 1: hotly contested territory. Yeah, I can understand that our is

997
00:51:07,239 --> 00:51:09,799
Speaker 1: the switch on the side is almost worn out by

998
00:51:09,840 --> 00:51:12,400
Speaker 1: the end of the season. Yeah, yeah, that's kind of

999
00:51:12,440 --> 00:51:15,000
Speaker 1: the same for us. So we kind of mentioned Fair

1000
00:51:15,000 --> 00:51:16,960
Speaker 1: to Day Future already and you guys, like I said,

1001
00:51:17,000 --> 00:51:19,160
Speaker 1: did a full episode on it. Yeah, I mean, I've

1002
00:51:19,200 --> 00:51:20,960
Speaker 1: got got some I got a pile of notes here

1003
00:51:21,000 --> 00:51:23,560
Speaker 1: on this whole thing. So you've you've seen this in person,

1004
00:51:23,840 --> 00:51:26,160
Speaker 1: and I haven't. I've only read about it, and you know,

1005
00:51:26,239 --> 00:51:28,560
Speaker 1: kind of get the the idea that some people thought

1006
00:51:28,560 --> 00:51:31,479
Speaker 1: it was really fantastic, and other reviewers went in and said,

1007
00:51:31,560 --> 00:51:33,839
Speaker 1: this is absolutely ridiculous. I don't know what they're doing

1008
00:51:33,920 --> 00:51:36,839
Speaker 1: bringing this car to the show, because this has nothing

1009
00:51:36,880 --> 00:51:38,520
Speaker 1: to do with what the company is really. What the

1010
00:51:38,680 --> 00:51:41,120
Speaker 1: what the real messages here? Yeah? I I well it

1011
00:51:41,160 --> 00:51:42,839
Speaker 1: didn't in a way, but it but it wasn't a

1012
00:51:42,880 --> 00:51:45,120
Speaker 1: good representation of what they're gonna do, right, So the

1013
00:51:45,160 --> 00:51:47,880
Speaker 1: representation is similar to what we were talking about with Volkswagen,

1014
00:51:47,920 --> 00:51:52,200
Speaker 1: this modular approach to building, designing and building vehicles, where

1015
00:51:52,320 --> 00:51:55,360
Speaker 1: you have a basic design that you can then modify

1016
00:51:55,440 --> 00:51:58,120
Speaker 1: for whatever purpose you need, whether it's a subcompact car,

1017
00:51:58,600 --> 00:52:02,279
Speaker 1: a race car, and suv, a truck, whatever it might be.

1018
00:52:02,360 --> 00:52:06,440
Speaker 1: You can adjust the foundation and then you have this

1019
00:52:06,520 --> 00:52:10,840
Speaker 1: modular battery system that allows you to add or remove

1020
00:52:10,880 --> 00:52:13,680
Speaker 1: batteries depending upon what vehicle it is that you're planning

1021
00:52:13,719 --> 00:52:16,640
Speaker 1: on building. So subcntact compact cars don't need as much

1022
00:52:16,640 --> 00:52:19,839
Speaker 1: battery power as say a race car. I think they

1023
00:52:19,880 --> 00:52:22,120
Speaker 1: called it strings of batteries, didn't they. You can you

1024
00:52:22,120 --> 00:52:25,480
Speaker 1: can adjust the size of the string of batteries, right, Yeah.

1025
00:52:25,480 --> 00:52:27,560
Speaker 1: And they had a cool video that sort of showed

1026
00:52:27,600 --> 00:52:30,719
Speaker 1: the concept from very high level. But I like the

1027
00:52:30,760 --> 00:52:34,080
Speaker 1: idea a lot because it allows for rapid development and prototyping.

1028
00:52:34,120 --> 00:52:36,480
Speaker 1: I mean that the car that they had on display

1029
00:52:37,680 --> 00:52:40,799
Speaker 1: did not exist eighteen months ago. It's a killer car,

1030
00:52:40,840 --> 00:52:42,520
Speaker 1: by the way. I love it. It looks like it's

1031
00:52:42,560 --> 00:52:45,200
Speaker 1: going fast while's sitting still. That's awesome. I really do

1032
00:52:45,320 --> 00:52:48,360
Speaker 1: like it. Good design. I I as soon as I'm

1033
00:52:48,440 --> 00:52:50,439
Speaker 1: not a Scott you know, I'm not a car guy,

1034
00:52:50,880 --> 00:52:53,160
Speaker 1: that's not me. I wanted to get behind the wheel

1035
00:52:53,160 --> 00:52:54,680
Speaker 1: of this car. When I saw it, it was just

1036
00:52:54,800 --> 00:52:56,360
Speaker 1: like and you would be the only one able to

1037
00:52:56,360 --> 00:52:59,480
Speaker 1: do that because it's a single seat car. It's so

1038
00:52:59,719 --> 00:53:02,439
Speaker 1: you know, the drum up excitement. Of course it brought

1039
00:53:02,480 --> 00:53:05,080
Speaker 1: out the race car version. Yeah, it was. It was

1040
00:53:05,200 --> 00:53:09,160
Speaker 1: essentially a way of getting attention right. First of all,

1041
00:53:09,440 --> 00:53:12,200
Speaker 1: the brand new company. This company has not been around

1042
00:53:12,239 --> 00:53:15,160
Speaker 1: for very long, mostly mysterious. A lot of people had

1043
00:53:15,200 --> 00:53:17,319
Speaker 1: heard the name but didn't know a whole lot about it.

1044
00:53:17,320 --> 00:53:21,280
Speaker 1: It was getting most of its funding through China, so

1045
00:53:21,400 --> 00:53:24,480
Speaker 1: it's headquartered in Los Angeles and it's going to have

1046
00:53:24,600 --> 00:53:28,719
Speaker 1: a manufacturing facility in Las Vegas. Uh. These were like

1047
00:53:28,760 --> 00:53:31,160
Speaker 1: the basic things people knew, but no one had seen

1048
00:53:31,239 --> 00:53:34,080
Speaker 1: anything or really knew what what was going on behind

1049
00:53:34,080 --> 00:53:36,919
Speaker 1: the scenes. Found out it was this approach to making

1050
00:53:36,960 --> 00:53:41,600
Speaker 1: electric vehicles. That's their specialty. UH. Taking this modular design

1051
00:53:41,680 --> 00:53:44,600
Speaker 1: so they could build any type of electrical vehicle. They

1052
00:53:44,640 --> 00:53:49,880
Speaker 1: have different power train, our drive train UH layouts. They

1053
00:53:49,880 --> 00:53:52,359
Speaker 1: can do so again depending up how what your car needs.

1054
00:53:52,400 --> 00:53:53,879
Speaker 1: If it doesn't need a whole lot of power, then

1055
00:53:53,960 --> 00:53:55,840
Speaker 1: it's got a very simple drive train if it's gonna

1056
00:53:55,840 --> 00:53:58,399
Speaker 1: need a lot of torque for something where you're gonna

1057
00:53:58,440 --> 00:54:01,000
Speaker 1: be hauling things or they're gonna be driving like an

1058
00:54:01,080 --> 00:54:04,080
Speaker 1: suv in in rough areas. Obviously they would have a

1059
00:54:04,080 --> 00:54:07,480
Speaker 1: different drive train than from a subcombat car for motors

1060
00:54:07,480 --> 00:54:10,000
Speaker 1: instead of two or something like that. Yeah, yeah, they had.

1061
00:54:10,160 --> 00:54:12,560
Speaker 1: They showed all the different variations where like there was

1062
00:54:12,600 --> 00:54:14,640
Speaker 1: one where it's like one motor attached to one wheel,

1063
00:54:14,640 --> 00:54:17,920
Speaker 1: and I was like, huh, okay, that would be a

1064
00:54:17,960 --> 00:54:22,600
Speaker 1: little commuter car. So they also had the ability. They said, well,

1065
00:54:22,640 --> 00:54:24,520
Speaker 1: our designs one of the things we wanted to work

1066
00:54:24,560 --> 00:54:26,880
Speaker 1: in from the beginning was that if we wanted to

1067
00:54:26,920 --> 00:54:30,160
Speaker 1: make it an autonomous vehicle, we could add that on

1068
00:54:30,239 --> 00:54:33,839
Speaker 1: to the frame as well. So in other words, it's

1069
00:54:33,880 --> 00:54:36,319
Speaker 1: not automatically going to be an autonomous vehicle, but they

1070
00:54:36,320 --> 00:54:40,279
Speaker 1: have the option to make a any particular model they

1071
00:54:40,320 --> 00:54:43,160
Speaker 1: go into production with an autonomous version of that car.

1072
00:54:43,560 --> 00:54:46,120
Speaker 1: Pretty simple thing in an all electric vehicle. Really yeah,

1073
00:54:46,480 --> 00:54:50,160
Speaker 1: so really cool idea. Uh And the race car obviously

1074
00:54:50,320 --> 00:54:53,319
Speaker 1: was just a way of saying, come and take a

1075
00:54:53,360 --> 00:54:55,520
Speaker 1: look at what we have to show you. And it

1076
00:54:55,560 --> 00:54:59,320
Speaker 1: worked for me. But the problem was when they started

1077
00:54:59,360 --> 00:55:02,200
Speaker 1: interviewing the people that you know, brought this technology out

1078
00:55:02,239 --> 00:55:04,360
Speaker 1: on stage, the ones that we're conducting, you know, the

1079
00:55:04,560 --> 00:55:07,520
Speaker 1: press conference, when they really started drilling down and asking

1080
00:55:07,600 --> 00:55:09,399
Speaker 1: a lot of questions. Here's here's the thing they got.

1081
00:55:09,400 --> 00:55:11,600
Speaker 1: They got a lot of uh, well, we don't really

1082
00:55:11,600 --> 00:55:13,400
Speaker 1: know the answer to that yet, but just trust us.

1083
00:55:13,400 --> 00:55:15,600
Speaker 1: It's gonna work out. Everything's gonna be fine. We we

1084
00:55:15,640 --> 00:55:17,799
Speaker 1: know that we can achieve this as just right now

1085
00:55:17,840 --> 00:55:20,040
Speaker 1: we don't have the solution that kind of answer. It's

1086
00:55:20,040 --> 00:55:23,080
Speaker 1: a very much an Internet startup approach, and it's an

1087
00:55:23,080 --> 00:55:28,120
Speaker 1: Internet startup approach to an industry that has uh, very

1088
00:55:28,200 --> 00:55:32,480
Speaker 1: deep roots and a very very high barrier to intrigue.

1089
00:55:32,520 --> 00:55:35,600
Speaker 1: In fact, I would say Faraday Future would have had

1090
00:55:36,400 --> 00:55:39,480
Speaker 1: zero chance of success were it not for a little

1091
00:55:39,520 --> 00:55:42,440
Speaker 1: company called Tesla. Sure. Yeah, but you can look at

1092
00:55:42,480 --> 00:55:45,839
Speaker 1: other examples that that people immediately go to, and we've

1093
00:55:45,880 --> 00:55:48,640
Speaker 1: heard the smart listeners on car stuff as well. Um,

1094
00:55:48,719 --> 00:55:52,040
Speaker 1: you know, this looks al awful lot like something like

1095
00:55:52,040 --> 00:55:54,920
Speaker 1: an Elio or even if you want to go back farther,

1096
00:55:55,360 --> 00:56:00,359
Speaker 1: uh Tucker or Dale Dale. Dale's a different scenario because

1097
00:56:00,360 --> 00:56:03,239
Speaker 1: that was just complete scam all around right there, there's

1098
00:56:03,239 --> 00:56:05,640
Speaker 1: no way around that one. But but the others, Tucker

1099
00:56:05,800 --> 00:56:09,319
Speaker 1: and UH and Elio and there's been others throughout time

1100
00:56:09,360 --> 00:56:11,480
Speaker 1: as well that have done this. But they bring a

1101
00:56:11,560 --> 00:56:13,480
Speaker 1: real product out and they show you the real product,

1102
00:56:13,520 --> 00:56:15,959
Speaker 1: and they say, all we need is X million number

1103
00:56:15,960 --> 00:56:20,359
Speaker 1: of million dollars to get the first you know, production run,

1104
00:56:20,400 --> 00:56:22,640
Speaker 1: first match of production out there. And then from that point,

1105
00:56:23,000 --> 00:56:24,600
Speaker 1: you know, we can we can you know, take them

1106
00:56:24,640 --> 00:56:27,360
Speaker 1: out and say yeah, we can sell you a dealership

1107
00:56:27,360 --> 00:56:28,920
Speaker 1: and you can sell these products and then we can

1108
00:56:29,520 --> 00:56:31,560
Speaker 1: create more cars. And that's the way the whole thing works.

1109
00:56:31,560 --> 00:56:34,320
Speaker 1: But they've got to get over that initial hump and

1110
00:56:34,880 --> 00:56:38,399
Speaker 1: this one. Now they've got a huge backing, right, they've

1111
00:56:38,400 --> 00:56:40,840
Speaker 1: got a lot of money, yes, available to them. That

1112
00:56:40,880 --> 00:56:44,640
Speaker 1: doesn't necessarily guarantee success. Anyone who has backed a kickstarter

1113
00:56:45,200 --> 00:56:48,759
Speaker 1: for any kind of technology UH has probably had the

1114
00:56:48,800 --> 00:56:52,200
Speaker 1: experience at least once of backing something that never ever

1115
00:56:52,400 --> 00:56:56,200
Speaker 1: came to fruition, and whether it was due to someone

1116
00:56:56,239 --> 00:56:59,880
Speaker 1: trying to pull a scam or someone UH under s

1117
00:57:00,000 --> 00:57:03,280
Speaker 1: a mating the challenges they would face taking an idea

1118
00:57:03,480 --> 00:57:07,880
Speaker 1: from the concept stage to production or whatever it may be.

1119
00:57:08,400 --> 00:57:11,319
Speaker 1: You always encounter things that you did not anticipate when

1120
00:57:11,360 --> 00:57:14,759
Speaker 1: you first set out. Uh, A lot of people have

1121
00:57:14,840 --> 00:57:19,320
Speaker 1: experienced this disappointment and something that they back not actually

1122
00:57:19,320 --> 00:57:22,280
Speaker 1: coming out, and that's a possibility. The nice thing is

1123
00:57:22,600 --> 00:57:24,920
Speaker 1: it's someone else's money in the case of Faraday Future,

1124
00:57:24,960 --> 00:57:26,880
Speaker 1: So I'm okay with this, that's true. I mean, like

1125
00:57:26,920 --> 00:57:29,280
Speaker 1: in the case of Elio Motors, that's that's the most

1126
00:57:29,360 --> 00:57:31,200
Speaker 1: recent one. You know that we've we've been dealing with,

1127
00:57:31,400 --> 00:57:33,760
Speaker 1: is that you know, people are sending in you know,

1128
00:57:33,880 --> 00:57:36,200
Speaker 1: hundred bucks, two hundred bucks, five hundred dollars or whatever.

1129
00:57:36,240 --> 00:57:38,280
Speaker 1: It's kind of a down payment deposit with the idea

1130
00:57:38,320 --> 00:57:40,040
Speaker 1: that that's starting the company and that you know, when

1131
00:57:40,080 --> 00:57:43,120
Speaker 1: they do start producing them, they're gonna get the first pick.

1132
00:57:43,160 --> 00:57:45,480
Speaker 1: You know, they're gonna get the first production run. Uh.

1133
00:57:45,520 --> 00:57:47,560
Speaker 1: You know, they get little little things along the way,

1134
00:57:47,600 --> 00:57:49,440
Speaker 1: you know, will in sentence, I guess for doing that,

1135
00:57:49,800 --> 00:57:54,720
Speaker 1: whether it's bumper stickers or T shirt or something like that. Right, Um,

1136
00:57:54,760 --> 00:57:57,960
Speaker 1: but that company, the hurdle for that company is something

1137
00:57:58,000 --> 00:58:00,000
Speaker 1: like two hundred and fifty or three hundred million dollars,

1138
00:58:00,000 --> 00:58:01,400
Speaker 1: and that's what it would take to get that company

1139
00:58:01,440 --> 00:58:05,040
Speaker 1: to start producing cars. Right now, probably some other things

1140
00:58:05,080 --> 00:58:07,040
Speaker 1: too at this point, because it's some time has passed.

1141
00:58:07,040 --> 00:58:10,160
Speaker 1: But but this one, this is all being funded by

1142
00:58:10,200 --> 00:58:13,400
Speaker 1: one individual and it's it's the I laugh when I

1143
00:58:13,440 --> 00:58:16,120
Speaker 1: see this, But it's the Chinese version of Steve Jobs.

1144
00:58:16,720 --> 00:58:19,240
Speaker 1: That's what that's how he's described now he has he's

1145
00:58:19,280 --> 00:58:23,000
Speaker 1: the founder of uh I guess the Chinese version of

1146
00:58:23,000 --> 00:58:25,560
Speaker 1: Netflix over there, right. So he's got a lot of money,

1147
00:58:25,640 --> 00:58:27,800
Speaker 1: this guy, he's a billionaire, but he's not going to

1148
00:58:27,920 --> 00:58:30,360
Speaker 1: throw all of his money behind this whole thing. Of course,

1149
00:58:30,720 --> 00:58:32,800
Speaker 1: it's gonna put some money behind it, but he's got

1150
00:58:32,840 --> 00:58:35,600
Speaker 1: deep pockets. Is this gonna make it? Because they're talking

1151
00:58:35,600 --> 00:58:38,760
Speaker 1: about putting a factory in it's again a billion dollar

1152
00:58:38,800 --> 00:58:42,480
Speaker 1: facility north of Las Vegas. They're gonna break around on that.

1153
00:58:42,560 --> 00:58:43,959
Speaker 1: I believe it was at the end of this month,

1154
00:58:44,000 --> 00:58:47,360
Speaker 1: if not next month. Um, so it's it's happening soon.

1155
00:58:47,880 --> 00:58:49,720
Speaker 1: Do you really see this thing going anywhere? Do you

1156
00:58:49,720 --> 00:58:51,400
Speaker 1: think they're gonna do it? Are they gonna come out,

1157
00:58:51,480 --> 00:58:53,280
Speaker 1: you know, the week before and say like, well there's

1158
00:58:53,280 --> 00:58:55,160
Speaker 1: been a delay and we're gonna do it. Um at

1159
00:58:55,160 --> 00:58:59,400
Speaker 1: the end of this year. Uh Without having seen any

1160
00:58:59,480 --> 00:59:03,200
Speaker 1: of the actual inner workings of the company. It's really

1161
00:59:03,240 --> 00:59:06,320
Speaker 1: hard for me to say. I can say I want

1162
00:59:06,400 --> 00:59:11,480
Speaker 1: them to to succeed so badly simply because I think

1163
00:59:11,480 --> 00:59:16,080
Speaker 1: it could be a truly disruptive approach to the automotive industry.

1164
00:59:16,160 --> 00:59:20,320
Speaker 1: And by disruptive, I don't mean like a dangerous thing

1165
00:59:20,560 --> 00:59:24,320
Speaker 1: or a destructive thing, but rather something that shakes stuff

1166
00:59:24,440 --> 00:59:30,800
Speaker 1: up enough that we start seeing crazy innovation across all manufacturers.

1167
00:59:30,880 --> 00:59:33,360
Speaker 1: That's what I want to see, and I want to see.

1168
00:59:33,360 --> 00:59:35,520
Speaker 1: I want to see all boats rise. Like I don't

1169
00:59:35,600 --> 00:59:39,080
Speaker 1: have a grudge against any particular company. Um. I mean,

1170
00:59:40,800 --> 00:59:44,200
Speaker 1: I definitely wagged my finger at Volkswagen or the clean

1171
00:59:44,240 --> 00:59:47,520
Speaker 1: Diesel thing, but but it's you know, that's more of

1172
00:59:47,600 --> 00:59:52,480
Speaker 1: a a emotional reaction to that scandal. But I want

1173
00:59:52,520 --> 00:59:56,560
Speaker 1: to see everybody benefit. Um and I would hate to

1174
00:59:56,600 --> 00:59:59,720
Speaker 1: see this be an example of an internet startup that

1175
01:00:00,000 --> 01:00:03,680
Speaker 1: got a lot of hype and then collapsed in on itself. Now. See,

1176
01:00:03,760 --> 01:00:06,000
Speaker 1: Ben and I had a similar thought on our show

1177
01:00:06,000 --> 01:00:07,800
Speaker 1: when we talked about it on Car Stuff. We said,

1178
01:00:08,280 --> 01:00:10,200
Speaker 1: you know, we really want we we truly do want

1179
01:00:10,240 --> 01:00:12,920
Speaker 1: them to succeed. This would be fantastic for development. As

1180
01:00:12,920 --> 01:00:14,480
Speaker 1: you said, you know it would it would push things

1181
01:00:14,480 --> 01:00:19,440
Speaker 1: along considerably. But with all the examples, the history that

1182
01:00:19,480 --> 01:00:21,680
Speaker 1: we've had that we've we've seen, we've talked about on

1183
01:00:21,680 --> 01:00:24,320
Speaker 1: our show so many times, it's like, you can you

1184
01:00:24,360 --> 01:00:28,680
Speaker 1: can remain hopeful but be skeptical. Awesome, Yes, there's good,

1185
01:00:29,360 --> 01:00:32,000
Speaker 1: good reason to employ critical thinking. Sure, yeah, yeah, I

1186
01:00:32,000 --> 01:00:34,080
Speaker 1: mean this thing may or may not end up being

1187
01:00:34,280 --> 01:00:38,080
Speaker 1: kind of vaporware, but I hope not. I'm really I'm

1188
01:00:38,080 --> 01:00:42,320
Speaker 1: really hoping for the best in this. I want to ride, Yeah,

1189
01:00:42,360 --> 01:00:45,800
Speaker 1: I mean the future. If you're listening, I want a ride. Well,

1190
01:00:45,840 --> 01:00:49,040
Speaker 1: that's that's something we didn't mentioned. That's that's their race

1191
01:00:49,120 --> 01:00:51,520
Speaker 1: car version. It's like the top end thing that they

1192
01:00:51,560 --> 01:00:55,200
Speaker 1: can produce. But but the reality is their road testing

1193
01:00:55,440 --> 01:00:58,200
Speaker 1: a vehicle right now that no one's seen. They They've

1194
01:00:58,200 --> 01:01:00,920
Speaker 1: got a secret card that's out there test somewhere. So

1195
01:01:00,960 --> 01:01:02,640
Speaker 1: if you see a car go by you that you

1196
01:01:02,680 --> 01:01:05,320
Speaker 1: don't recognize and there's no marking on it, that might

1197
01:01:05,360 --> 01:01:07,240
Speaker 1: be them. Yeah, it could be them. So they're out

1198
01:01:07,280 --> 01:01:10,520
Speaker 1: there somewhere testing this platform, and you probably somewhere in

1199
01:01:10,560 --> 01:01:14,120
Speaker 1: California or Nevada probably, Yeah, it seems like those states

1200
01:01:14,120 --> 01:01:17,080
Speaker 1: are you know a little more loose with their you know,

1201
01:01:17,760 --> 01:01:22,200
Speaker 1: the allowances, I guess, yeah, yeah, um yeah, I I

1202
01:01:22,240 --> 01:01:24,160
Speaker 1: would be interested to see what they're gonna come up

1203
01:01:24,200 --> 01:01:26,480
Speaker 1: with for the production vehicle and will it kind of

1204
01:01:26,520 --> 01:01:29,760
Speaker 1: be like a what's that sad trombone moment? You know,

1205
01:01:30,120 --> 01:01:33,600
Speaker 1: I see it? Uh, versus the race car that they

1206
01:01:33,600 --> 01:01:36,000
Speaker 1: showed at the c S show. I mean it's it's

1207
01:01:36,120 --> 01:01:37,760
Speaker 1: it's like, you know, it's good that they did that

1208
01:01:37,840 --> 01:01:41,400
Speaker 1: to get the excitement. They promised you this, but they

1209
01:01:41,480 --> 01:01:44,120
Speaker 1: gave you this that kind of thing. Well kind of yeah,

1210
01:01:44,160 --> 01:01:46,640
Speaker 1: I mean you're gonna you know, you're gonna be just

1211
01:01:46,680 --> 01:01:49,080
Speaker 1: a little bit disappointed, Like, oh man, I was really

1212
01:01:49,080 --> 01:01:52,920
Speaker 1: hoping for that single seater, the zero one concept, that

1213
01:01:53,400 --> 01:01:56,120
Speaker 1: car that probably would have cost around three hundred thousand dollars.

1214
01:01:56,520 --> 01:01:59,920
Speaker 1: It's like a batmobile or something. That's so it's pretty wicked.

1215
01:02:00,160 --> 01:02:02,120
Speaker 1: It really is. The people on the floor they were

1216
01:02:02,120 --> 01:02:04,000
Speaker 1: saying that they preferred to think of it as the

1217
01:02:04,040 --> 01:02:06,280
Speaker 1: car out of Minority Report. Oh yeah, okay, I can

1218
01:02:06,360 --> 01:02:08,640
Speaker 1: see that a little bit. Yeah all right, Um, you

1219
01:02:08,680 --> 01:02:12,200
Speaker 1: know there's another one that you wanted to mention, the

1220
01:02:12,280 --> 01:02:15,360
Speaker 1: last one that Cherry on top of this Sunday. Yeah,

1221
01:02:15,480 --> 01:02:18,320
Speaker 1: and this one leaves me with my head. Chicken, I

1222
01:02:17,880 --> 01:02:21,920
Speaker 1: I understand what this this h this builder does. This

1223
01:02:21,960 --> 01:02:24,680
Speaker 1: is WRIN Speed, Yes, Rin Speed, and the vehicle we're

1224
01:02:24,680 --> 01:02:28,200
Speaker 1: talking about the concept at any rate is the ets Yeah.

1225
01:02:28,480 --> 01:02:31,480
Speaker 1: And also we should mention the ETAs is actually a

1226
01:02:31,520 --> 01:02:34,560
Speaker 1: BMW I eight based concept car of course. Yeah, so

1227
01:02:35,120 --> 01:02:37,919
Speaker 1: the latest greatest from BMW. But what they've done with it,

1228
01:02:38,840 --> 01:02:40,920
Speaker 1: I don't know. I don't know if I understand everything

1229
01:02:40,920 --> 01:02:42,880
Speaker 1: that they're trying to achieve with this car, but I'm

1230
01:02:42,920 --> 01:02:46,120
Speaker 1: not stand trying to achieve. I mean, RIN Speed has

1231
01:02:46,120 --> 01:02:47,960
Speaker 1: done a lot of cool concepts in the past, and

1232
01:02:48,000 --> 01:02:49,760
Speaker 1: you know, they've got sure some of them has some

1233
01:02:49,880 --> 01:02:53,080
Speaker 1: questionable features and things. But when I look at this one,

1234
01:02:53,160 --> 01:02:56,440
Speaker 1: the ETAs, yeah, it's got a lot of questionable features.

1235
01:02:56,480 --> 01:03:00,120
Speaker 1: So yeah, let's talk about some of them. For one thing,

1236
01:03:00,440 --> 01:03:04,440
Speaker 1: the interface that they have is is encased in two

1237
01:03:04,440 --> 01:03:08,120
Speaker 1: twenty one and a half inch curved four K displays

1238
01:03:08,760 --> 01:03:13,320
Speaker 1: four K resolution. Scott, I mean, granted, you are pretty

1239
01:03:13,360 --> 01:03:16,480
Speaker 1: close to those displays when you're a driver, right, I mean,

1240
01:03:16,520 --> 01:03:18,520
Speaker 1: it's not that far away from you. And in fact,

1241
01:03:18,680 --> 01:03:24,160
Speaker 1: four K resolution is insane to me because those displays

1242
01:03:24,160 --> 01:03:26,360
Speaker 1: would need to be enormous, and you'd have to be

1243
01:03:26,400 --> 01:03:31,760
Speaker 1: even closer to appreciate the sharpness in that resolution. I

1244
01:03:31,800 --> 01:03:34,800
Speaker 1: can't believe four K is necessary when ten a D

1245
01:03:34,920 --> 01:03:39,240
Speaker 1: would have sufficed. However, that's nitpicking. So let's say that

1246
01:03:39,240 --> 01:03:43,960
Speaker 1: you're driving this this crazy concept, this this variation on

1247
01:03:44,000 --> 01:03:49,000
Speaker 1: the BMW I eight. Uh. You're driving around and you're

1248
01:03:49,160 --> 01:03:51,240
Speaker 1: you've got this nice steering wheel. It's got its own

1249
01:03:51,240 --> 01:03:53,280
Speaker 1: little panel right in the middle of it, and you

1250
01:03:53,360 --> 01:03:57,000
Speaker 1: think I'm gonna hand over control to my car. You

1251
01:03:57,080 --> 01:03:59,880
Speaker 1: press a little button, the steering wheel folds in on

1252
01:04:00,040 --> 01:04:03,920
Speaker 1: itself Scott, Yeah, and then it retracts into the dashboard

1253
01:04:04,000 --> 01:04:07,160
Speaker 1: so it goes away. So that okay, that's that's one

1254
01:04:07,200 --> 01:04:08,800
Speaker 1: of the things that left me shake in my head.

1255
01:04:08,840 --> 01:04:12,800
Speaker 1: Like most of these systems, even most of them recognize

1256
01:04:12,840 --> 01:04:14,800
Speaker 1: the idea that there's going to be a point when

1257
01:04:15,480 --> 01:04:18,320
Speaker 1: human interaction is probably gonna be necessary, and we're gonna

1258
01:04:18,400 --> 01:04:20,640
Speaker 1: alert you with a chime or lights as you said

1259
01:04:20,680 --> 01:04:25,560
Speaker 1: on the one steerings of the again the BMW. Okay,

1260
01:04:26,000 --> 01:04:29,120
Speaker 1: most manufacturers still get that that you know, there's going

1261
01:04:29,160 --> 01:04:30,560
Speaker 1: to be a point where you're gonna want to take

1262
01:04:30,560 --> 01:04:33,000
Speaker 1: control or the car will say, I don't know if

1263
01:04:33,000 --> 01:04:37,360
Speaker 1: I can handle this, grab the wheel. Pashaw says written speed. Yeah,

1264
01:04:37,440 --> 01:04:39,640
Speaker 1: so you know that's I mean, I watched it happen

1265
01:04:39,880 --> 01:04:42,680
Speaker 1: in the video video clip and it's not a fast

1266
01:04:42,720 --> 01:04:46,160
Speaker 1: motion for it to come back out. It's it's cool,

1267
01:04:46,680 --> 01:04:51,840
Speaker 1: it is, it's cool. It's interesting to watch. But the

1268
01:04:51,880 --> 01:04:54,760
Speaker 1: idea also of a folding steering wheel, that's another thing

1269
01:04:54,800 --> 01:04:56,560
Speaker 1: that makes me cringe just a little bit. You know,

1270
01:04:56,600 --> 01:04:59,320
Speaker 1: that's that's not a great design. Really. Yeah. The two

1271
01:04:59,520 --> 01:05:02,000
Speaker 1: the if you think of a wheel, think of it, Uh,

1272
01:05:02,440 --> 01:05:05,760
Speaker 1: divide the wheel in half, and the top half and

1273
01:05:05,840 --> 01:05:09,920
Speaker 1: bottom half fold down along the column, the steering column,

1274
01:05:10,080 --> 01:05:12,640
Speaker 1: and the whole thing where tracks back into the dashboard,

1275
01:05:12,720 --> 01:05:15,480
Speaker 1: so that you are freed up to read a book

1276
01:05:15,720 --> 01:05:18,680
Speaker 1: essentially like it looks like the like the passenger side

1277
01:05:18,720 --> 01:05:20,640
Speaker 1: of the vehicle at that point, really it really does.

1278
01:05:20,720 --> 01:05:24,200
Speaker 1: And the two displays extend forward so that you can

1279
01:05:24,320 --> 01:05:27,600
Speaker 1: get more immersed in whatever, you know, entertainment like playing

1280
01:05:27,600 --> 01:05:29,160
Speaker 1: on your dashboard. You can get a lot closer to

1281
01:05:29,200 --> 01:05:32,360
Speaker 1: that four km's appreciated a lot more when it's when

1282
01:05:32,400 --> 01:05:35,120
Speaker 1: it when it approaches you by five inches, when it's

1283
01:05:35,160 --> 01:05:38,680
Speaker 1: eight inches away from your eyes, so uh. And the

1284
01:05:39,000 --> 01:05:41,160
Speaker 1: other thing, Now, this just kind of made me laugh

1285
01:05:41,160 --> 01:05:43,120
Speaker 1: in the video. I don't know why this was was

1286
01:05:43,200 --> 01:05:45,480
Speaker 1: featured in here, but there's a couple of things more

1287
01:05:45,480 --> 01:05:49,080
Speaker 1: but um, when when they were showing the autonomous capability, Yeah,

1288
01:05:49,240 --> 01:05:51,960
Speaker 1: they had the car at a track in Spain, a

1289
01:05:52,080 --> 01:05:56,120
Speaker 1: racetrack in Spain, and they clearly had a time, you know,

1290
01:05:56,200 --> 01:05:59,800
Speaker 1: a lap time, a laps time from a human driver

1291
01:06:00,200 --> 01:06:01,800
Speaker 1: on the screen. So it's it's got, you know, an

1292
01:06:01,800 --> 01:06:04,520
Speaker 1: interface that allows you to record lap times and it's

1293
01:06:04,560 --> 01:06:07,080
Speaker 1: really cool, a map of the track and everything best

1294
01:06:07,120 --> 01:06:08,880
Speaker 1: you know, kind of the best time with a little award,

1295
01:06:08,920 --> 01:06:12,040
Speaker 1: you know, a silver copper with It's almost equivalent to

1296
01:06:12,120 --> 01:06:14,280
Speaker 1: like a video game, except this is a real car

1297
01:06:14,360 --> 01:06:16,280
Speaker 1: that you're driving around a real track. Yeah. Sure, and

1298
01:06:16,320 --> 01:06:18,240
Speaker 1: we've seen that stuff, you know, in other cars. We

1299
01:06:18,280 --> 01:06:20,240
Speaker 1: get that, you know, they've got stuff like that. You know,

1300
01:06:20,280 --> 01:06:23,160
Speaker 1: they can measure times and speeds and all that. But

1301
01:06:23,920 --> 01:06:26,919
Speaker 1: this one was showing like, Okay, I'm gonna I'm gonna

1302
01:06:26,960 --> 01:06:30,320
Speaker 1: let the autonomous uh feature take over and drive around

1303
01:06:30,320 --> 01:06:33,280
Speaker 1: this racetrack in Spain. And then that's when the driver

1304
01:06:33,520 --> 01:06:36,640
Speaker 1: decided to grab a book from the from what it

1305
01:06:36,640 --> 01:06:39,520
Speaker 1: looks like a bookshelf on the passenger side. That thing

1306
01:06:39,600 --> 01:06:42,280
Speaker 1: was always loaded with books. So while they're driving around

1307
01:06:42,280 --> 01:06:44,640
Speaker 1: this racetrack in Spain, the driver's reading a book. And

1308
01:06:44,720 --> 01:06:46,440
Speaker 1: I know that's to prove a point that he's not

1309
01:06:46,520 --> 01:06:49,320
Speaker 1: touched on the wheel, that there's no interaction there but

1310
01:06:49,520 --> 01:06:51,960
Speaker 1: the car, of course, best of the human driver's time,

1311
01:06:52,120 --> 01:06:54,200
Speaker 1: you know, the car was much faster or a little

1312
01:06:54,200 --> 01:06:56,800
Speaker 1: bit faster anyways. But I just thought that was so

1313
01:06:56,840 --> 01:06:59,080
Speaker 1: odd to see him doing that, you know, like to

1314
01:06:59,320 --> 01:07:00,920
Speaker 1: be on a race back of all places, I can

1315
01:07:00,920 --> 01:07:04,120
Speaker 1: get if you're in a boring commute or so. Clearly

1316
01:07:04,600 --> 01:07:08,720
Speaker 1: he was trying to psych out the robot car, to

1317
01:07:08,840 --> 01:07:11,560
Speaker 1: show how how little interest he had in the robot

1318
01:07:11,560 --> 01:07:14,440
Speaker 1: car's performance. I thought, you're gonna say other drivers competing

1319
01:07:14,440 --> 01:07:17,000
Speaker 1: against like I'm just gonna let it take over, like

1320
01:07:17,200 --> 01:07:19,280
Speaker 1: I'm just gonna I'm gonna read my cough cut here.

1321
01:07:19,640 --> 01:07:21,640
Speaker 1: Did you get my point though? I mean, of all

1322
01:07:21,640 --> 01:07:23,280
Speaker 1: places you're gonna want to see, I mean you're just

1323
01:07:23,280 --> 01:07:25,080
Speaker 1: gonna want to pay attention and watch what's going on

1324
01:07:25,120 --> 01:07:27,520
Speaker 1: because it's exciting, it's thrilling. It's not like you're just going,

1325
01:07:27,640 --> 01:07:33,240
Speaker 1: you know, between downtown Atlanta and home. Sure, let's be fair,

1326
01:07:33,360 --> 01:07:38,560
Speaker 1: could sometimes be exciting. Uh. It also uses Microsoft's Cortana

1327
01:07:39,080 --> 01:07:42,240
Speaker 1: concierge service, so this is similar to Ford and Alexa.

1328
01:07:42,880 --> 01:07:45,640
Speaker 1: Uh Cortana, I would argue, well, I mean, I I've

1329
01:07:45,720 --> 01:07:48,200
Speaker 1: used Cortana a little bit because I've got Windows ten

1330
01:07:48,360 --> 01:07:51,120
Speaker 1: on my computer at home and Cortana is incorporated into

1331
01:07:51,120 --> 01:07:53,400
Speaker 1: Windows ten. Sounds fancy. I've used it a little bit,

1332
01:07:54,360 --> 01:07:56,640
Speaker 1: but I'm still very much a keyboard and mouse kind

1333
01:07:56,640 --> 01:07:58,640
Speaker 1: of guy, so I don't tend to talk to my

1334
01:07:58,680 --> 01:08:02,160
Speaker 1: computer unless something has gone wrong, and the words I'm

1335
01:08:02,160 --> 01:08:04,440
Speaker 1: saying are not words that the concierge is going to

1336
01:08:04,520 --> 01:08:06,800
Speaker 1: help me with. I talked to my laptop here at

1337
01:08:06,840 --> 01:08:09,280
Speaker 1: work all the time. And uh wait, I'm glad it

1338
01:08:09,320 --> 01:08:12,000
Speaker 1: can't record. That's that's a good good thing. Wait, I can't,

1339
01:08:12,040 --> 01:08:16,519
Speaker 1: can it? I don't think so, at least unless some

1340
01:08:16,680 --> 01:08:19,320
Speaker 1: malware has been put on there. But the real reason

1341
01:08:19,400 --> 01:08:22,920
Speaker 1: we had to add this, besides all the ridiculous autonomous

1342
01:08:23,040 --> 01:08:28,000
Speaker 1: car features and and the fact that uh Cortana is incorporated,

1343
01:08:28,320 --> 01:08:32,719
Speaker 1: is that this particular car also has a landing pad

1344
01:08:33,000 --> 01:08:36,400
Speaker 1: on the back of it for a d j I drone. Yeah,

1345
01:08:36,520 --> 01:08:39,519
Speaker 1: this was probably the biggest head scratcher for me. What

1346
01:08:39,640 --> 01:08:42,479
Speaker 1: is the point of that drone? Well, the drone can

1347
01:08:42,520 --> 01:08:45,360
Speaker 1: fly along while you're driving and take video of you

1348
01:08:45,520 --> 01:08:49,920
Speaker 1: driving your really kick ass BMW I a concept car. Well,

1349
01:08:49,960 --> 01:08:51,840
Speaker 1: I agree, that is a cool thing to be able

1350
01:08:51,880 --> 01:08:54,439
Speaker 1: to do. I get it. You don't necessarily need to

1351
01:08:54,479 --> 01:08:57,719
Speaker 1: have a landing pad and a matching drone. I guess

1352
01:08:57,760 --> 01:08:59,719
Speaker 1: you could just get one at Toys or Us or something,

1353
01:09:00,080 --> 01:09:03,360
Speaker 1: or at the local Harby Harby store, but it should

1354
01:09:03,400 --> 01:09:06,240
Speaker 1: do something that was kind of cool. Now, in the video,

1355
01:09:06,600 --> 01:09:09,559
Speaker 1: it's kind of a silly setup, right, I mean, it's

1356
01:09:09,600 --> 01:09:13,599
Speaker 1: a male female females flying the drone in some kind

1357
01:09:13,600 --> 01:09:15,479
Speaker 1: of looks like they're in a warehouse or something. Yeah,

1358
01:09:15,479 --> 01:09:18,559
Speaker 1: it's a big circular room where there's a there's a

1359
01:09:18,800 --> 01:09:23,680
Speaker 1: staircase that's on the internal curved wall that goes up,

1360
01:09:23,720 --> 01:09:27,640
Speaker 1: so some very weird looking space where the car is

1361
01:09:27,680 --> 01:09:29,320
Speaker 1: parked in the center of it. But it's open to

1362
01:09:29,360 --> 01:09:31,479
Speaker 1: the to the air. You know, there's an open top.

1363
01:09:31,840 --> 01:09:34,720
Speaker 1: So the guy climbs back into the car and the

1364
01:09:34,760 --> 01:09:37,720
Speaker 1: car alerts him, Hey, it's Valentine's Day. Wouldn't you like

1365
01:09:37,720 --> 01:09:39,680
Speaker 1: to get some roses for your wife? And then he

1366
01:09:39,720 --> 01:09:43,280
Speaker 1: just says the word roses and that sends a signal

1367
01:09:43,320 --> 01:09:46,360
Speaker 1: to the drone that the woman is currently controlling with

1368
01:09:46,439 --> 01:09:49,400
Speaker 1: a with a remote control, and the drone ends up

1369
01:09:49,439 --> 01:09:52,599
Speaker 1: going into auto mode and flies off, sending the woman

1370
01:09:52,760 --> 01:09:56,480
Speaker 1: into a fit. A fit. Yes, she is quite upset

1371
01:09:56,560 --> 01:09:59,519
Speaker 1: that she has lost control of this, and she she

1372
01:09:59,640 --> 01:10:04,080
Speaker 1: confer her husband, who takes off his glasses, his sunglasses,

1373
01:10:04,360 --> 01:10:07,600
Speaker 1: puts one uh one stem of the sunglasses in his

1374
01:10:07,680 --> 01:10:11,240
Speaker 1: mouth and shrugs to say, Hey, what are you gonna do?

1375
01:10:11,640 --> 01:10:14,479
Speaker 1: Things happen, and then they go down the stairs to

1376
01:10:14,520 --> 01:10:17,559
Speaker 1: get into their autonomous sports car of the future. When

1377
01:10:17,560 --> 01:10:20,559
Speaker 1: the drone returns with a bouquet of roses that it

1378
01:10:20,560 --> 01:10:22,400
Speaker 1: has picked up from a delivery service. It was like

1379
01:10:22,439 --> 01:10:24,760
Speaker 1: a like a messenger drone. I right, it it went

1380
01:10:24,800 --> 01:10:28,720
Speaker 1: out and it's it's sought the nearest floors, which was

1381
01:10:28,800 --> 01:10:30,720
Speaker 1: I believe on the screen it said four point one

1382
01:10:30,800 --> 01:10:33,400
Speaker 1: miles away, something like a long long distance. So it

1383
01:10:33,439 --> 01:10:36,599
Speaker 1: went out got them or no, it was four minutes away,

1384
01:10:36,720 --> 01:10:38,439
Speaker 1: four and a half minutes and a half minutes right,

1385
01:10:38,479 --> 01:10:42,320
Speaker 1: So he attaches a bouquet of roses, and it brings

1386
01:10:42,360 --> 01:10:44,639
Speaker 1: him right back to her and everything is just every

1387
01:10:44,800 --> 01:10:46,920
Speaker 1: smoothed over. At that point she gives him a hug.

1388
01:10:46,920 --> 01:10:49,280
Speaker 1: Her her one foot comes off the ground, you know,

1389
01:10:49,360 --> 01:10:53,040
Speaker 1: and classic hug posed. Truly, I had it. I had

1390
01:10:53,080 --> 01:10:56,439
Speaker 1: a tear at that point. I felt something. Um, yeah,

1391
01:10:56,479 --> 01:10:59,439
Speaker 1: it was it was a it was a funny video

1392
01:10:59,479 --> 01:11:02,960
Speaker 1: to watch. I actually really enjoyed it. Um. I mean,

1393
01:11:03,960 --> 01:11:07,880
Speaker 1: I think it's ridiculous is probably too strong a word.

1394
01:11:08,080 --> 01:11:12,400
Speaker 1: It's certainly whimsical. Let's say whimsical. That's nice. It's it's

1395
01:11:12,840 --> 01:11:15,160
Speaker 1: it's worth watching. It's it's interesting to see the video

1396
01:11:15,280 --> 01:11:18,280
Speaker 1: is and also as proof of concept of certain technologies,

1397
01:11:18,320 --> 01:11:21,160
Speaker 1: it's really cool. I mean, I I agree with you.

1398
01:11:21,240 --> 01:11:24,280
Speaker 1: I don't think that the autonomous approach, as as awesome

1399
01:11:24,280 --> 01:11:27,559
Speaker 1: as this automated thing where the steering column retracts into

1400
01:11:27,600 --> 01:11:30,280
Speaker 1: the dashboard, as awesome, as visual as that is, I

1401
01:11:30,280 --> 01:11:32,960
Speaker 1: don't think it's terribly practical. For one thing, it's a

1402
01:11:33,000 --> 01:11:35,479
Speaker 1: couple of different points of failure in a system that

1403
01:11:35,520 --> 01:11:39,040
Speaker 1: doesn't need any points of failure. Right If anything goes

1404
01:11:39,080 --> 01:11:42,840
Speaker 1: wrong and then you switch to manual and something some

1405
01:11:42,880 --> 01:11:46,720
Speaker 1: connection has been severed as a result of this process.

1406
01:11:46,760 --> 01:11:50,479
Speaker 1: That's bad, But I did think that the whole thing

1407
01:11:50,560 --> 01:11:54,000
Speaker 1: was very fun and I like the approach, Like the

1408
01:11:54,080 --> 01:12:00,200
Speaker 1: forward thinking nature of the video was really cool. Well

1409
01:12:00,240 --> 01:12:02,599
Speaker 1: and forward thinking. It's like that tattoo I can see

1410
01:12:02,600 --> 01:12:05,680
Speaker 1: in your neck. Yeah, you know, that's how they track me.

1411
01:12:06,160 --> 01:12:09,200
Speaker 1: Um So. At any rate, this was this was a

1412
01:12:09,240 --> 01:12:11,800
Speaker 1: lot of fun to talk to you about the technology

1413
01:12:11,840 --> 01:12:15,040
Speaker 1: that was on display at c Yes, obviously very different

1414
01:12:15,160 --> 01:12:18,519
Speaker 1: from the underlying technology that actually makes cars work. You know,

1415
01:12:18,520 --> 01:12:23,480
Speaker 1: we're not talking necessarily about motors or you know, transmissions

1416
01:12:23,560 --> 01:12:25,360
Speaker 1: or that kind of stuff. This is all add on stuff.

1417
01:12:25,400 --> 01:12:28,160
Speaker 1: It's like, how can I make an app? Uh, make

1418
01:12:28,280 --> 01:12:32,680
Speaker 1: that system better? And and again like smart TVs, I

1419
01:12:32,720 --> 01:12:38,000
Speaker 1: think we're finally starting to see that idea mature to

1420
01:12:38,120 --> 01:12:41,360
Speaker 1: a point where it is something that could be marketable

1421
01:12:41,760 --> 01:12:44,519
Speaker 1: as opposed to, well we have the ability to throw

1422
01:12:44,600 --> 01:12:46,639
Speaker 1: this in there, let's just do it. And I think

1423
01:12:46,680 --> 01:12:52,519
Speaker 1: we're maturing as well, baby steps, Scotty says. Maybe let

1424
01:12:52,640 --> 01:12:56,080
Speaker 1: let's not set our expectations too high for me um So.

1425
01:12:56,400 --> 01:12:58,439
Speaker 1: At any rate, if you guys want to hear the

1426
01:12:58,520 --> 01:13:01,519
Speaker 1: Faraday Future podcast, you've gotta go check out car stuff

1427
01:13:01,560 --> 01:13:04,080
Speaker 1: because you and Ben cover that and make sure you

1428
01:13:04,080 --> 01:13:06,000
Speaker 1: listen to that episode. You guys go into a lot

1429
01:13:06,000 --> 01:13:09,600
Speaker 1: more detail about the whole the whole process. There we

1430
01:13:09,720 --> 01:13:14,479
Speaker 1: do excruciating detail. That's the best kind. And uh, and

1431
01:13:14,600 --> 01:13:17,280
Speaker 1: thank you again for appearing on my show. So oh

1432
01:13:17,320 --> 01:13:19,320
Speaker 1: of course, well thank you for having me. I appreciate it.

1433
01:13:19,320 --> 01:13:22,120
Speaker 1: And it's always fun conversation. It always feels it feels,

1434
01:13:22,520 --> 01:13:26,720
Speaker 1: I don't know, feels easy, you know, yeah, yeah, there.

1435
01:13:26,760 --> 01:13:31,000
Speaker 1: I don't think there's anyone here that it's particularly difficult

1436
01:13:31,120 --> 01:13:34,280
Speaker 1: to jump into a podcast studio and talk, but uh,

1437
01:13:34,840 --> 01:13:37,280
Speaker 1: it's sure. It's nice to have that experience right where

1438
01:13:37,360 --> 01:13:40,200
Speaker 1: you go in and you sit down and you're like,

1439
01:13:40,200 --> 01:13:44,080
Speaker 1: we're just gonna talk about crazy car technology for an

1440
01:13:44,120 --> 01:13:46,320
Speaker 1: hour essentially what this was today. I mean I had

1441
01:13:46,360 --> 01:13:48,760
Speaker 1: a few notes, but h man, it was just kind

1442
01:13:48,760 --> 01:13:51,400
Speaker 1: of winging it. And yeah, honestly, I like havin your

1443
01:13:51,439 --> 01:13:53,240
Speaker 1: insight that you were there at the show too, to

1444
01:13:53,280 --> 01:13:54,800
Speaker 1: be able to kind of come back and report on

1445
01:13:54,840 --> 01:13:57,360
Speaker 1: what you've seen and how that differs from you know,

1446
01:13:57,400 --> 01:14:00,920
Speaker 1: some of these some of these reviews, like the products.

1447
01:14:00,920 --> 01:14:02,519
Speaker 1: It's it's so much different when you talk to somebody

1448
01:14:02,520 --> 01:14:04,479
Speaker 1: who has first inexperience. Yeah, when you when you have

1449
01:14:04,520 --> 01:14:07,760
Speaker 1: a chance to actually witness stuff with your own eyes,

1450
01:14:07,800 --> 01:14:10,559
Speaker 1: and not only that, but just gauge interest on the floor,

1451
01:14:10,720 --> 01:14:14,040
Speaker 1: like are people reacting with skepticism? Are they reacting with

1452
01:14:14,080 --> 01:14:17,040
Speaker 1: like us? And as it's really cool to get that

1453
01:14:17,400 --> 01:14:19,840
Speaker 1: that first person experience. Oh yeah, it's very helpful that

1454
01:14:19,880 --> 01:14:22,000
Speaker 1: you went there and checked everything out for us. Yeah.

1455
01:14:22,240 --> 01:14:24,519
Speaker 1: I can't wait to do it again next year. I

1456
01:14:24,600 --> 01:14:27,200
Speaker 1: need to rest. Al right, guys, Well, that wraps it

1457
01:14:27,280 --> 01:14:29,400
Speaker 1: up for this episode of tech Stuff. If you have

1458
01:14:29,479 --> 01:14:33,880
Speaker 1: suggestions for future episode topics, guests, guest hosts, anything like that,

1459
01:14:34,280 --> 01:14:37,439
Speaker 1: you should let me know. The email address you should

1460
01:14:37,560 --> 01:14:42,120
Speaker 1: use is text stuff at how stuff works dot com

1461
01:14:42,280 --> 01:14:45,479
Speaker 1: or let me know on Facebook or Twitter to handle

1462
01:14:45,520 --> 01:14:48,200
Speaker 1: it both of those is tech Stuff H s W

1463
01:14:48,920 --> 01:14:57,360
Speaker 1: and I'll talk to you again really soon for more

1464
01:14:57,400 --> 01:15:00,000
Speaker 1: on this and bousands of other topics. Is it how stuff?

1465
01:15:00,000 --> 01:15:10,120
Speaker 1: What's dot com?