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Speaker 1: Get in text with technology with tex Stuff from hosts

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Speaker 1: dot com. Heather, Guys, welcome to tech Stuff. I'm Jonathan Strickland,

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Speaker 1: and I wanted to continue my podcast about the story

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Speaker 1: of Uber, and I brought Scott Benjamin into talk for

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Speaker 1: a little bit. Originally this was going to be uh

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Speaker 1: in the first episode, but Scott and I talked for

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Speaker 1: about forty five minutes and it turned out that that

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Speaker 1: was gonna be way too long to tack onto the

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Speaker 1: end of part one. So here is part two, where

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Speaker 1: I end up asking Scott some really tough questions about

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Speaker 1: Uber and autonomous cars and a future where car ownership

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Speaker 1: may become a thing of the past. If you listen carefully,

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Speaker 1: you can hear the exact moment his heartbreaks. Here we go,

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Speaker 1: you know, to really dive into this topic. I decided

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Speaker 1: I could not do this as just a solo episode,

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Speaker 1: so I have brought in the foremost mind on automotive

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Speaker 1: issues here at How Stuff Works, Scott Benjamin. Scott, thanks

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Speaker 1: for coming in. Oh, thank you much. The foremost mind

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Speaker 1: maybe on this floor in this building, I think for

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Speaker 1: How Stuff Works was a fair clarification. Yeah, we're we're um,

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Speaker 1: We're happy to have you on again, And of course,

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Speaker 1: I mean I love having Scott on the show because

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Speaker 1: Scott is game for anything. Thank you appreciated. I'd love

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Speaker 1: being here. It's a fun conversation usually. Yeah, this was

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Speaker 1: great because I actually I came up to Scott today

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Speaker 1: this morning a little peek behind the curtain and said,

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Speaker 1: would you mind jumping in? You said sure. So we're

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Speaker 1: gonna talk a little bit about the implications of Uber

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Speaker 1: and sort of I want to I want to kind

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Speaker 1: of find out what your thoughts are on Uber the

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Speaker 1: service in general, and also more specifically this proposed future

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Speaker 1: of Uber where we have a fleet of electric robo

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Speaker 1: cars taking us wherever we go, and we don't own

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Speaker 1: any of them with no driver. With no driver, yeah,

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Speaker 1: because you know, you want to get rid of that

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Speaker 1: pesky person that you have to pay, so autonomous Uber

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Speaker 1: vehicles is what we're talking about. Yeah, all right, Uh,

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Speaker 1: well it's an interesting thought, isn't it. Yeah, I figured so.

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Speaker 1: So for those who don't know you, Scott, I think

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Speaker 1: it's fair to say that you enjoy cars. I've really

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Speaker 1: enjoyed Yeah, yeah, every every aspect of it. And you know,

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Speaker 1: I I initially when I when I started doing our

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Speaker 1: own car stuff podcast years ago, seven, eight years ago,

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Speaker 1: whatever it is now. Um, I was a nonbeliever in

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Speaker 1: the self driving vehicles well, and especially at that time.

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Speaker 1: I mean the technology was so young, right yeah. I

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Speaker 1: think we've talked about that that it required so much

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Speaker 1: infrastructure at that time, even even seven years ago for

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Speaker 1: it to work. You know, they've been toying around with

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Speaker 1: this for a long long time, I mean decades, and

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Speaker 1: I've seen some of the older vehicles, you know, from

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Speaker 1: the early in eighteen seventies, late nineteen sixties that had

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Speaker 1: enormous boxes that were tied to them and they were

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Speaker 1: there were embedded wires in the road, and you know,

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Speaker 1: even then they sort of worked, but not really. You know,

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Speaker 1: it was it was kind of just a mixed match

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Speaker 1: of all different types of components that were added to

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Speaker 1: the vehicle, add ons to a standard vehicle. And now

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Speaker 1: they're designing cars to be autonomous in different ways, like

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Speaker 1: with um you know, the lane departure systems and the

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Speaker 1: you know, the the adaptive cruise control systems and you

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Speaker 1: know all that stuff that exactly all those little components

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Speaker 1: that are now starting to come together starting to gel

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Speaker 1: I guess into one vehicle that is doing all that

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Speaker 1: stuff with much smaller, smaller components. Try. I guess, you know,

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Speaker 1: because the technology is getting better, you no longer have

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Speaker 1: these like gigantic cones or periscopes or things necessarily, although

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Speaker 1: depending on some of the vehicles, like Google's approach tends

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Speaker 1: to have, you know, a noticeable protrusion on the top

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Speaker 1: of the vehicle, and you realize that's where a lot

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Speaker 1: of the brains or at least the senses of this

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Speaker 1: vehicle reside. Sure, but their cars out there that have

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Speaker 1: that same stuff and it's all embedded within, you'd never

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Speaker 1: know that it's there. And the biggest thing about this

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Speaker 1: whole thing, and I know that I do that kind

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Speaker 1: of lead in for every time I talk about autonomous vehicles,

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Speaker 1: but the biggest thing is the the the removal of

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Speaker 1: the requirement of the infrastructure for this to work. Yeah,

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Speaker 1: the fact that the early vision of autonomous cars were

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Speaker 1: it really wasn't about the cars. It was about the freeways, right,

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Speaker 1: Like the idea of these autonomous highways that cars would

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Speaker 1: kind of link into almost like a slot car, and

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Speaker 1: and the vehicle itself would be largely a dumb machine

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Speaker 1: that would respond to the the needs and the commands

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Speaker 1: of the highway. We we moved away from that where

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Speaker 1: all of that ended up being internalized into the vehicle.

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Speaker 1: Although you know, there's some discussion about making smart roads

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Speaker 1: and um, larger systems that are made up of these

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Speaker 1: individual components, almost like the cars become neurons in a

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Speaker 1: brain that's made up of highways and other vehicles. But

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Speaker 1: for the most part, we've we've kind of moved all

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Speaker 1: of that technology into the vehicle itself, which definitely removes

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Speaker 1: a lot of the problems that we saw seven or

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Speaker 1: eight years ago, when the thought was in order for

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Speaker 1: this to work, we'd have to make such a huge

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Speaker 1: change in existing infrastructure that it's too large of a

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Speaker 1: job and too expensive of a prospect for it to

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Speaker 1: ever become a reality. Sure. Yeah, And I mean we

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Speaker 1: still are seeing little bits of this and that. You know,

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Speaker 1: there's self parking cars and they only work in certain

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Speaker 1: parking lots, uh, you know, parking lots that have that

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Speaker 1: technology embedded within the within the pavement or in the

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Speaker 1: walls or however it works. Um. But yeah, I'm now

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Speaker 1: a firm believer in the idea that this can This

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Speaker 1: is possible, this can happen, and the the idea that

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Speaker 1: somebody would summon a taxi an Uber, I guess, an

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Speaker 1: Uber vehicle instead of a taxi, and I have it,

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Speaker 1: you know, arrive on the scene within thirty seconds. I

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Speaker 1: think that's the goal here, right, arrive in thirty seconds

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Speaker 1: and you get in and it takes you to where

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Speaker 1: you want to go automatically and lets you out your charge, which,

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Speaker 1: of course, you know, the way Uber normally does. There's

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Speaker 1: no cash transactiontion has to happen or anything like that,

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Speaker 1: um aside from having to have an awkward conversation with

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Speaker 1: the driver. Uh, this this seems like it's a good

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Speaker 1: way to go, right. I mean, just imagine that you

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Speaker 1: throw in as long as you throw in the ability

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Speaker 1: to have voice commands, to have the radio station of

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Speaker 1: your choice playing. Yeah. Did I say that right? Because

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Speaker 1: what I was saying was, you know, you usually, I

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Speaker 1: guess in a typical cab, I always feel that that

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Speaker 1: pressure to kind of chat with the guy. I would

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Speaker 1: I would say that for at least the first two

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Speaker 1: miles of any trip in any vehicle, I feel there's

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Speaker 1: a social obligation to attempt a conversation and based upon

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Speaker 1: how awkward that conversation is. At the end of two miles,

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Speaker 1: you then have to make a very tough decision do

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Speaker 1: I continue this awkward experience or is it okay for

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Speaker 1: me to trail off at this point. I've had many

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Speaker 1: enjoyable conversations with cab drives chest and I'm sure that

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Speaker 1: Uber drivers are the same way I've had. I've had

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Speaker 1: conversations that, for one, don't involve working for Uber, that

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Speaker 1: that you have to get through. There are a couple

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Speaker 1: of things you gotta get past right there, the typical conversations.

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Speaker 1: So this is true for taxi drivers as well. Uh,

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Speaker 1: there's there's the weather, and there's traffic. Those are the

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Speaker 1: two you gotta get past first. Then with Uber you

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Speaker 1: have to get past the so yeah, I love Uber

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Speaker 1: or whatever, or you don't love Uber, or however you

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Speaker 1: want to breach that, and then after that you can

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Speaker 1: get into other areas of conversation. I've had some great ones,

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Speaker 1: but I know a lot of people who say that's

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Speaker 1: one of those elements about this that they are looking

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Speaker 1: forward to saying goodbye to the the uh, the feeling

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Speaker 1: that you are forced to have a social interaction which

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Speaker 1: might say a lot about are continuing journey on this

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Speaker 1: pathway where we compartmentalize everything and we no longer have

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Speaker 1: to deal with people like we we can do all

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Speaker 1: our shopping online, we can do all of our we

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Speaker 1: can ride around in a robot car. That says a

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Speaker 1: lot about who we are as people. But at the

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Speaker 1: same time, you think, well, if you just want to

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Speaker 1: you just want to get to where you're going, and

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Speaker 1: you're not looking to have that kind of interaction, You're

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Speaker 1: you know, you just you're just literally you just need

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Speaker 1: to get from point A to point B. I can

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Speaker 1: see the appeal in it. Yeah, I can't too. I

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Speaker 1: can understand that. Now. I wonder, I just wonder how

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Speaker 1: many people are gonna be really comfortable the first time

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Speaker 1: they get into a vehicle that has no driver that

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Speaker 1: then sets out onto New York City street and uh

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Speaker 1: and all the congestion and traffic and people and all

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Speaker 1: that that comes with that, you know, knowing that, and

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Speaker 1: I would assume they know already that this is going

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Speaker 1: to be an autonomous vehicle. It's kind of pick them

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Speaker 1: up because the Apple tell them that. You know, because

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Speaker 1: normally a spot that shows you shows your driver, you know,

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Speaker 1: who it is. If it just shows you a picture

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Speaker 1: of a vehicle, then that's that's an indicator right there. Ye, well,

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Speaker 1: I mean it's it's really going to be incident, interesting

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Speaker 1: or fascinting to see how people react to that, especially

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Speaker 1: if they're not really accustomed to it, you know, the

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Speaker 1: very first ride that they ever take. I would be

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Speaker 1: just be excited to see what people's reaction to be, like,

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Speaker 1: you know, an in car camera view of people kind

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Speaker 1: of laughing, giggling about it. You know, it's got to

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Speaker 1: be kind of scary in a way, but also fun. Yeah, exhilarating. Yeah,

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Speaker 1: almost like an amusement park right at first. Really, I

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Speaker 1: think I think wherever when we get to the point

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Speaker 1: where Uber is ready to launch a prototype version of this,

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Speaker 1: like a beta version of this, that will definitely be

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Speaker 1: part of It will probably end up being one of

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Speaker 1: those things where you use the app it asks would

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Speaker 1: you be willing to do this? And if so, do

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Speaker 1: you agree to allow video of this to be displayed

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Speaker 1: because obviously otherwise you've got this whole privacy issue about

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Speaker 1: a person getting into a vehicle and having their their

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Speaker 1: video image taken. But I would I would jump at

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Speaker 1: that chance. You know, you make a good point. I

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Speaker 1: was thinking about this. What happens? Okay, so, um, let's

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Speaker 1: say that a group of people are out drinking at night,

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Speaker 1: and uh, invariably there's gonna be somebody who gets sick

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Speaker 1: in the car car sick? Right? What happens in Drivel's car?

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Speaker 1: Because there's nobody there to say this car is out

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Speaker 1: of service right because of this issue? You know, like

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Speaker 1: an uber driver or taxi driver would say, I gotta,

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Speaker 1: I gotta take an hour off and get this cleaned up.

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Speaker 1: What happens in an autonomous vehicle that has another stop

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Speaker 1: scheduled forty five seconds away from where they just dropped

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Speaker 1: that Person's an excellent question. I wonder. I don't know

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Speaker 1: how that's gonna have to have you have to have

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Speaker 1: puke sensors inside the vehicle, because that would be to

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Speaker 1: be an unpleasant surprise. Yeah, no, I definitely I would not.

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Speaker 1: I mean, I'm sure one way one thing you could

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Speaker 1: do to address that. It's not the ideal version, obviously,

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Speaker 1: is that you build into the app the ability to

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Speaker 1: say the car that was sent is needs to be serviced,

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Speaker 1: and then the robot car would immediately high tail it

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Speaker 1: back to h Q and then another vehicle would be

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Speaker 1: sent out. But that requires the person to already have

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Speaker 1: experienced the unpleasant scenario of opening up a door and going,

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Speaker 1: whoa that is not fit for human beings to get

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Speaker 1: into right now, that's true, and you can't rely on

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Speaker 1: the person before that too, you know, I don't know,

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Speaker 1: hit a button or something that said send back to

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Speaker 1: main service brand. You certainly wouldn't want anyone to be

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Speaker 1: able to abuse, such like someone just being a jerk

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Speaker 1: and saying, all right now for haasake, I'm gonna push

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Speaker 1: this button and the car is going to go offline,

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Speaker 1: which is going to affect possibly someone else down the

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Speaker 1: line by making them wait an extra minute and a

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Speaker 1: half or however long it might be. I mean, that's

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Speaker 1: an interesting question that I don't think there's an answer

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Speaker 1: to yet unless you do have, um, some other weird

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Speaker 1: sensors in there. Even if you have a camera, you

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Speaker 1: still have to have someone watching it to see what's

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Speaker 1: going on, right, So you know, some of the other

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Speaker 1: things that I was just thinking about a few different

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Speaker 1: scenarios of things that could happen. And you know, there's

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Speaker 1: a limit in cabs when you when you get in,

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Speaker 1: there's a you know, a seat limit, you know, a

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Speaker 1: number of people that are allowed to share affair, and

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Speaker 1: otherwise they're charged more. How do they how do they

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Speaker 1: protect against something like that in in an autonomous vehicle

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Speaker 1: where there's not a driver to say, hey, wait a minute,

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Speaker 1: you can't put eight people in this car? Well, you know,

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Speaker 1: and I've seen for for that because as Uber does

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Speaker 1: not add an extra fee for the number of people

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Speaker 1: who are right, I've actually seen the suggestion that for

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Speaker 1: the Uber app, you would end up indicating how larger

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Speaker 1: party is when you would request it for for an

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Speaker 1: electric autonomous service if we ever get to that point.

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Speaker 1: Part of the idea is that they would deploy a

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Speaker 1: fleet of vehicles that would meet the general needs of

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Speaker 1: the average day. So uh for New York City, for example,

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Speaker 1: most cab rides require are are for one or two

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Speaker 1: people and that's it. Um then you have a few

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Speaker 1: that need you know, it's a larger party, like a

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Speaker 1: family with luggage, And the idea being that the app

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Speaker 1: itself would have it built in so that you could

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Speaker 1: say I need a cab for two people, or I

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Speaker 1: need to have a van for a group of six

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Speaker 1: and the reason being is that that way the service

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Speaker 1: can have just the size vehicles it needs for the

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Speaker 1: region it needs, and the people who are using the

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Speaker 1: app will have the experience that is still a positive experience,

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Speaker 1: as opposed to, well, you know what, we're gonna save

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Speaker 1: some money, We're just gonna cram eight college students into

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Speaker 1: the sedan. That's what I was thinking, is how did

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Speaker 1: they guard against something like that? They do? They do

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Speaker 1: summon a sedan, and then they decided to cram eight

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Speaker 1: or ten people into that sedan, even though that it's

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Speaker 1: not even though it's not supposed to do that. I mean,

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Speaker 1: would there be sensors that somehow indicate the number of

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Speaker 1: people to come in, you know, come into the vehicle,

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Speaker 1: or that you know, the weight of the vehicle has

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Speaker 1: been exceeded or something. At least in that case, you

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Speaker 1: can rest assured that the vehicle itself will still operate

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Speaker 1: as safely as possible. It's just the interior will not

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Speaker 1: be so safe for the people already, right again it yeah,

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Speaker 1: I wonder, I just wonder where this is going, Like,

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Speaker 1: is it gonna be a vehicle that doesn't even have

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Speaker 1: a steering wheel, doesn't even have controls. Is it gonna

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Speaker 1: be something where the driver's area is still there but

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Speaker 1: but blocked off somehow, you know, like a cage around,

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Speaker 1: or could it even be where the driver's area is

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Speaker 1: open for seating. It's just there're no there are no

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Speaker 1: accessible controls, right there, Zero controls like that. It wasn't

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Speaker 1: that the Google cars like that? Right? Yeah? The little

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Speaker 1: prototype car where you look, you've got like a button

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Speaker 1: that you press. Essentially, you push a button that says

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Speaker 1: go now, and it goes. I'm fully in favor of that.

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Speaker 1: I love that idea. One of the reasons why we

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Speaker 1: why I think that Uber's plan is more realistic version

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Speaker 1: of the future of autonomous cars then say I'm going

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Speaker 1: to have my own autonomous car is one of price.

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Speaker 1: And we were talking about this before we started recording. Uh.

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Speaker 1: The The commonly quoted figure is that autonomous technology will

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Speaker 1: add about a hundred fifty thousand dollars to the price

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Speaker 1: tag of any vehicle. So take a vehicle, any vehicle,

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Speaker 1: and then say, all right, convert that so it's an

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Speaker 1: autonomous vehicle. You add a hundred fifty dollars to the

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Speaker 1: price tag of that. That puts most cars well out

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Speaker 1: of the range of most people's budgets. Cars are expensive

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Speaker 1: to begin with, right, And we were trying to find

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Speaker 1: a good example of this, Yes, And the example that

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Speaker 1: I came up with was the car that is probably

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Speaker 1: the closest to a self driving vehicle that's on the

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Speaker 1: road right now, Yeah, that that consumers can purchase exactly right,

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Speaker 1: there's a Mercedes Benz S five hundred that has a

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Speaker 1: system called intelligent Drive and intelligent drive and if we

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Speaker 1: haven't already mentioned this on this podcast before, it's basically

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Speaker 1: a self driving vehicle, but they can't legally call it that.

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Speaker 1: It's still you still have to have a driver in

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Speaker 1: the driver position. Driver doesn't have to do anything programming

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Speaker 1: the coordinates, and the car goes. I've watched videos of

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Speaker 1: it in action and it's flawless and the way it works. Um.

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Speaker 1: But the cost of a a s An S five

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Speaker 1: hundred with intelligent drive is about two hundred and eighty

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Speaker 1: six thousand dollars. That's a that's a that's a lot

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Speaker 1: of chedder. Yeah, that is a lot of shudder, that's right. Um.

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Speaker 1: And just to try to compare that, we were looking

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Speaker 1: for a version of that car that doesn't have the

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Speaker 1: intelligent drive. And the closest we could get was another

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Speaker 1: S series vehicle and instead of the five hundreds of

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Speaker 1: five fifty, but the M S R P on that

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Speaker 1: vehicle is only dollars now, so nearly two dollars less.

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Speaker 1: Nearly yes, And so that shows you just how much

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Speaker 1: technology is packed into that S S five hundred with

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Speaker 1: intelligent drive. And again this is a car where everything

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Speaker 1: is really streamlined. I mean it's it's mostly tucked away.

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Speaker 1: You still you do see a few uh controls and

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Speaker 1: you see if you, um, modules, I guess you wouldn't

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Speaker 1: find on a normal S five hundred that that have,

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Speaker 1: you know, the the electronic I type stuff. I guess

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Speaker 1: it's for lack of better term, but um, it's really

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Speaker 1: well tucked away. It's well designed. It's it's it's not

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Speaker 1: you know, the big boxes on the hanging off the

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Speaker 1: front fenders like you know, the old style stuff that

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Speaker 1: we've seen. Right, people aren't going to look at this

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Speaker 1: vehicle and say, hey, what's that for necessarily unless they're

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Speaker 1: really paying close attention. And if you didn't know this

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Speaker 1: car intelligent drive, and unless it has a badge on

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Speaker 1: it that says intelligent drive. You wouldn't even know that

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Speaker 1: it was one of these vehicles, you know, versus a

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Speaker 1: regular S five hundred. So the conclude SHO I come

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Speaker 1: to with this is that these cars are likely not

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Speaker 1: going to be something that that the average person is

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Speaker 1: going to be able to afford any time in the

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Speaker 1: near future, even even assuming that car manufacturers build what

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Speaker 1: are fully autonomous vehicles and put them out on the market,

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Speaker 1: because we're getting you know, this car, like you say,

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Speaker 1: is about the closest that we have to that, and

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Speaker 1: it's it's pretty much capable of doing it. Yeah. I mean,

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Speaker 1: there's other manufacturers that are toying around this too, but

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Speaker 1: but Mercedes Benz is one that's been out there in

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Speaker 1: the forefront, and so is UM well BMW and Audie

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Speaker 1: and of course Tessa is working on something. Nissan is

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Speaker 1: testing a leaf for autonomous vehicle, for autonomous drive. Um.

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Speaker 1: It seems like all manufacturers have something in the works,

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Speaker 1: but it's always ten years out. It's always gonna be

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Speaker 1: ten years away, and and I just really wonder when

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Speaker 1: they're gonna finally say this is an autonomous vehicle. You

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Speaker 1: don't have to have a driver in the driver position.

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Speaker 1: You could you could have everybody in the back seat

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Speaker 1: if you wanted and go to church or go wherever

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Speaker 1: you're gonna go. Yeah, I think it's I think it's

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Speaker 1: a combination of the cost. That's a big one where

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Speaker 1: they're trying to figure out, well, how can we get

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Speaker 1: this down to a cost where it's worth it for

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Speaker 1: us to even build the thing, because if we if

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Speaker 1: we build, you know, a thousand of these, and we're

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Speaker 1: only able to sell ten, there's no point in doing it.

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Speaker 1: Then there's also policy, you know, making sure that it's

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Speaker 1: actually legal in in the places where you sell the

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Speaker 1: vehicle for someone to be able to ride in that

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Speaker 1: vehicle without being in control of the car. I think

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Speaker 1: that's the big one. That's that's a big one. It's

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Speaker 1: why I think the price and the legality are the

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Speaker 1: two biggest obstacles. It's not the technology. The technology is

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Speaker 1: pretty much there, and technology is definitely there. I think

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Speaker 1: the highest hurdle right now is is the legal issues, uh,

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Speaker 1: you know, the regulations that don't allow for something like that, right,

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Speaker 1: and so assuming that we get to a point where

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Speaker 1: the regulations are no longer an issue, the price then

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Speaker 1: becomes the chief obstacle. And I think that as processes

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Speaker 1: continue to improve, you know, we see prices come down

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Speaker 1: when we start streamlining those manufacturing processes and things like that,

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Speaker 1: and the technology continues to evolve. But even so, a

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Speaker 1: hundred fifty is a huge amount of money, so so

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Speaker 1: reducing that I don't think we're ever going to get

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Speaker 1: it where that ends up being a five thousand dollar

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Speaker 1: price hike on a car. And I don't think so either.

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Speaker 1: But and in our our case is extreme. That's a

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Speaker 1: Mercedes Ben's S class. That's a that's a big luxury

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Speaker 1: such sure, I mean that that's already a luxury vehicle.

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Speaker 1: It's it's going to be expensive no matter what it

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Speaker 1: really is. But and and the price to upgrade to

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Speaker 1: that type of system is always going to be more

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Speaker 1: than it would be. Let's say, if they if they

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Speaker 1: did build a Nissan Leaf that has a system like this, um,

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Speaker 1: it's just going to be that much more. It's a

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Speaker 1: you know, within scale. I guess it's going to be balanced,

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Speaker 1: I would hope. So, I mean, it's still is going

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Speaker 1: to be a very expensive vehicle compared to one that

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Speaker 1: would not have the autonomous controls, which is why I

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Speaker 1: think the Uber approach. This idea of having a fleet

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Speaker 1: of autonomous vehicles is more realistic a fleet operated by

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Speaker 1: a service. I think that's more realistic than and personal

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Speaker 1: vehicles that are autonomously controlled, at least in the near future.

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Speaker 1: So I think, say, let's say it's five years into

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Speaker 1: the future, and we've we've ironed out the legal issues,

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Speaker 1: we've ironed out the the technology, so everything on that

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Speaker 1: side is fine. I think the price is still going

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Speaker 1: to be prohibitive for the majority of car perspective car owners,

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Speaker 1: but for services like Uber, it makes perfect sense. You

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Speaker 1: go out and you buy a whole bunch of these,

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Speaker 1: and sure they're expensive, and before you weren't necessarily we're

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Speaker 1: worrying about maintaining a fleet of cars because your drivers

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Speaker 1: did that for you. But now you don't have drivers

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Speaker 1: to pay, so right now, Uber takes between of every

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Speaker 1: fair so that's their commission, which means that seventy two

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Speaker 1: percent goes to the driver and it varies depending upon

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Speaker 1: the market. Uh, well, you cut out the driver. You

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Speaker 1: don't pay robots, Scott, I don't know if you know this. Yeah,

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Speaker 1: robots robots are are. I mean, you know, they're expensive

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Speaker 1: to buy, but they work for free since sophisticated that root. Yeah,

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Speaker 1: I guess. So if you have a robot that doesn't

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Speaker 1: do much other than maybe walk a few feet before

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Speaker 1: falling over, it may not be as expensive as one

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Speaker 1: that can drive a vehicle. But the point being that,

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Speaker 1: you know, even though the the initial cost is high, uh,

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Speaker 1: and you do have to worry about maintaining the vehicle.

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Speaker 1: Obviously you don't pay so all of that money instead

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Speaker 1: of instead of taking affairs, goes to the company. Yeah,

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Speaker 1: and and maintenance. But you you figure, well, if if

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Speaker 1: on the paper on paper, if it makes sense, then

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Speaker 1: let's make this change because now we don't have to

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Speaker 1: worry about drivers. Also, I mean, there are a ton

430
00:21:46,600 --> 00:21:50,560
Speaker 1: of issues that I've talked about about how Uber drivers

431
00:21:50,600 --> 00:21:54,320
Speaker 1: have had. There's been some terrible incidents with Uber drivers

432
00:21:54,320 --> 00:21:56,439
Speaker 1: and passengers. You don't have to worry about that with

433
00:21:56,480 --> 00:22:00,439
Speaker 1: a robot like that. Yeah. So there there's that as well.

434
00:22:00,480 --> 00:22:03,560
Speaker 1: So there's a very attractive case to be made for

435
00:22:03,640 --> 00:22:05,879
Speaker 1: a service like Uber to make the switch. And I

436
00:22:05,920 --> 00:22:09,760
Speaker 1: think that for autonomous cars to become a reality where

437
00:22:10,160 --> 00:22:13,959
Speaker 1: we can jump into one on any given day, at

438
00:22:14,000 --> 00:22:16,160
Speaker 1: least in the near future, it's going to be through

439
00:22:16,240 --> 00:22:18,359
Speaker 1: something like if it's not Uber, it's going to be

440
00:22:18,400 --> 00:22:22,280
Speaker 1: something very similar to Uber. And it's not likely to

441
00:22:22,359 --> 00:22:25,280
Speaker 1: be a world where I go out to the dealership

442
00:22:25,440 --> 00:22:28,880
Speaker 1: and I buy an autonomous car. I mean, I hope

443
00:22:29,119 --> 00:22:31,640
Speaker 1: to make enough money where that could be a reality

444
00:22:31,720 --> 00:22:34,479
Speaker 1: for me. But I'm not being honestly in you know,

445
00:22:34,880 --> 00:22:37,560
Speaker 1: as they always say ten years, you never know. I mean,

446
00:22:37,600 --> 00:22:39,000
Speaker 1: you really never know what's gonna be out there and

447
00:22:39,040 --> 00:22:41,240
Speaker 1: what's what's the what what the price point is going

448
00:22:41,320 --> 00:22:42,760
Speaker 1: to be on it, because they may bring it down.

449
00:22:42,800 --> 00:22:45,200
Speaker 1: I know, the cars are continually getting more and more expensive.

450
00:22:45,240 --> 00:22:48,080
Speaker 1: And then to add that autonomous feature onto it, as

451
00:22:48,080 --> 00:22:49,960
Speaker 1: we said, it's going to add quite a bit of money.

452
00:22:49,960 --> 00:22:52,040
Speaker 1: But if that's a feature that you have to have

453
00:22:52,080 --> 00:22:53,760
Speaker 1: in a vehicle or you really want to have in

454
00:22:53,760 --> 00:22:55,920
Speaker 1: a vehicle, it's a it's probably more of a want

455
00:22:56,160 --> 00:22:59,680
Speaker 1: thing if you're buying a car. UM I think that

456
00:23:00,000 --> 00:23:01,960
Speaker 1: I think plenty of people will buy a car that's

457
00:23:02,000 --> 00:23:05,639
Speaker 1: autonomous from a dealership. I mean individuals, not just fleet

458
00:23:05,680 --> 00:23:08,200
Speaker 1: managers that are you looking to save money on delivery

459
00:23:08,280 --> 00:23:11,280
Speaker 1: vehicles or something that can make um you know, instead

460
00:23:11,280 --> 00:23:14,399
Speaker 1: of delivering people, they're delivering products, right, Um, yeah, like

461
00:23:14,400 --> 00:23:17,840
Speaker 1: like Amazon or ups or fed X or whatever. Yeah,

462
00:23:17,840 --> 00:23:21,040
Speaker 1: imagine having an automated FedEx truck drive up to your

463
00:23:21,080 --> 00:23:23,120
Speaker 1: house and and somehow get that package to your door.

464
00:23:23,119 --> 00:23:24,320
Speaker 1: I guess maybe you'd have to come out and get

465
00:23:24,320 --> 00:23:27,040
Speaker 1: it yourself, and would be an awful system. Yeah there

466
00:23:27,080 --> 00:23:30,040
Speaker 1: my catapult, I mean exactly, or or or you know,

467
00:23:30,240 --> 00:23:33,440
Speaker 1: just it's a truck that's just carrying drones. Oh that's

468
00:23:33,640 --> 00:23:35,439
Speaker 1: the drones fly out the back and drop the package

469
00:23:35,480 --> 00:23:37,639
Speaker 1: off and then drive back in and the drones make

470
00:23:37,760 --> 00:23:40,320
Speaker 1: last thirty feet is what you're saying. That's a good idea, Yeah,

471
00:23:40,359 --> 00:23:42,639
Speaker 1: because then you just end up having to you know,

472
00:23:42,760 --> 00:23:44,639
Speaker 1: like I said, if you have the charging stations inside

473
00:23:44,680 --> 00:23:47,919
Speaker 1: the vehicle, then the drones are constantly recharging their batteries.

474
00:23:47,960 --> 00:23:50,399
Speaker 1: They don't have to worry about running down after one trip.

475
00:23:51,520 --> 00:23:53,639
Speaker 1: Not bad, I mean, you know, I'm just saying, if

476
00:23:53,640 --> 00:23:56,200
Speaker 1: you want to use that idea, I can be paid.

477
00:23:56,440 --> 00:23:58,600
Speaker 1: All right. So well, well, let me let me paint

478
00:23:58,640 --> 00:24:01,680
Speaker 1: for you what I what I think would be Scott's

479
00:24:01,760 --> 00:24:08,520
Speaker 1: dystopian future, the Nightmarish future. So let's say that you know,

480
00:24:08,800 --> 00:24:11,160
Speaker 1: one of the arguments I've seen about about the uber

481
00:24:11,200 --> 00:24:14,400
Speaker 1: electric autonomous fleet UH. In support of it is that

482
00:24:14,960 --> 00:24:18,240
Speaker 1: it would negate the need to own a car in

483
00:24:18,400 --> 00:24:22,560
Speaker 1: dense urban environments. So UH. In in New York City,

484
00:24:22,560 --> 00:24:27,600
Speaker 1: for example, the average of the number of people who

485
00:24:27,640 --> 00:24:31,200
Speaker 1: own vehicles is well below that of the national average.

486
00:24:31,400 --> 00:24:34,560
Speaker 1: National average, I think it's somewhere in the range of

487
00:24:34,560 --> 00:24:40,600
Speaker 1: of households own a car. In Manhattan it's at it's lowest.

488
00:24:40,600 --> 00:24:46,880
Speaker 1: It's somewhere like around or so. Parking is at a premium. UH.

489
00:24:46,920 --> 00:24:50,080
Speaker 1: And you know, there are other alternatives to getting around.

490
00:24:50,160 --> 00:24:54,199
Speaker 1: And if if most of your travel is within you know,

491
00:24:54,320 --> 00:24:56,679
Speaker 1: just a few miles of where you live, then you

492
00:24:56,720 --> 00:24:59,479
Speaker 1: can take cabs, the subway, or walk to a lot

493
00:24:59,520 --> 00:25:02,160
Speaker 1: of your desk nations, you don't need a car. UH.

494
00:25:02,200 --> 00:25:05,399
Speaker 1: There the other boroughs in New York the numbers are higher,

495
00:25:05,440 --> 00:25:07,399
Speaker 1: I think, like in Brooklyn it's slightly higher. And then

496
00:25:07,400 --> 00:25:08,960
Speaker 1: by the time you get to Long Island and it's

497
00:25:09,040 --> 00:25:11,520
Speaker 1: it's closer to the national average. It's still below it,

498
00:25:11,560 --> 00:25:16,040
Speaker 1: but it's closer. UM. So let's say we go into

499
00:25:16,080 --> 00:25:19,800
Speaker 1: a future where, at least for dense and urban environments,

500
00:25:20,160 --> 00:25:24,400
Speaker 1: the need to own a car is completely removed because

501
00:25:25,040 --> 00:25:27,399
Speaker 1: you've got this fleet of electric vehicles will come and

502
00:25:27,440 --> 00:25:29,600
Speaker 1: pick you up on demand. You don't have to worry

503
00:25:29,600 --> 00:25:31,240
Speaker 1: about where you're going. You know, the fact that you

504
00:25:31,480 --> 00:25:34,800
Speaker 1: own a piece of property that is incredibly expensive and

505
00:25:34,880 --> 00:25:37,679
Speaker 1: nine of the time is sitting idle, would mean that

506
00:25:37,720 --> 00:25:39,840
Speaker 1: you would be able to use that space, that and

507
00:25:39,960 --> 00:25:44,479
Speaker 1: that money for something else, assuming of course, that the

508
00:25:44,520 --> 00:25:49,320
Speaker 1: cost you would incur taking these trips from this service

509
00:25:49,400 --> 00:25:51,440
Speaker 1: would be less than what it would be to own

510
00:25:51,520 --> 00:25:53,679
Speaker 1: and maintain a vehicle. And if you want to go

511
00:25:53,720 --> 00:25:56,000
Speaker 1: outside of the city, you would rent the vehicle for

512
00:25:56,080 --> 00:25:57,639
Speaker 1: the day, or for the week, or however long you

513
00:25:57,680 --> 00:26:00,359
Speaker 1: need it, right right, So, so let to say that

514
00:26:00,359 --> 00:26:03,720
Speaker 1: we are on in this future where you no longer

515
00:26:03,920 --> 00:26:07,879
Speaker 1: need to own a car because of the reasons I've said,

516
00:26:08,760 --> 00:26:14,400
Speaker 1: and because it's been demonstrated that that autonomous vehicles are safer,

517
00:26:14,920 --> 00:26:18,919
Speaker 1: is now illegal for humans to operate a car. What

518
00:26:18,960 --> 00:26:21,120
Speaker 1: do you think of that, fat, I do not like

519
00:26:21,200 --> 00:26:23,840
Speaker 1: that that. I mean taking that out of the hands

520
00:26:23,880 --> 00:26:26,240
Speaker 1: of individuals. I mean, to be able to drive, they

521
00:26:26,280 --> 00:26:29,040
Speaker 1: have the freedom to drive a vehicle. Yeah, oh man,

522
00:26:29,119 --> 00:26:32,040
Speaker 1: that's that's an awful thought. Jan Yeah, it's it's coming Scott.

523
00:26:32,800 --> 00:26:36,640
Speaker 1: That day is con be illegal to drive. I'd say

524
00:26:36,680 --> 00:26:40,679
Speaker 1: within fifteen years. Fifteen years it will be illegal for

525
00:26:40,720 --> 00:26:44,920
Speaker 1: a human operator car because the the can't believe what

526
00:26:44,960 --> 00:26:47,879
Speaker 1: I'm hearing, the demonstration of how you know the fact

527
00:26:47,920 --> 00:26:52,399
Speaker 1: that that there will be a dramatic reduction in UH accidents.

528
00:26:52,840 --> 00:26:55,400
Speaker 1: There will be that. Thus, there will be this whole

529
00:26:55,520 --> 00:26:58,840
Speaker 1: change in the insurance landscape, there will be a big

530
00:26:58,920 --> 00:27:02,200
Speaker 1: change in the medical escape. It will cost less money

531
00:27:02,880 --> 00:27:08,000
Speaker 1: for across multiple industries to have this in place, that

532
00:27:08,760 --> 00:27:11,639
Speaker 1: the idea of a person operating a vehicle would be

533
00:27:11,680 --> 00:27:16,359
Speaker 1: such a huge monetary cost, let alone the ability or

534
00:27:16,400 --> 00:27:19,320
Speaker 1: the the potential for an accident to happen. It will

535
00:27:19,359 --> 00:27:22,040
Speaker 1: be illegal for a human being top right a car.

536
00:27:22,840 --> 00:27:25,359
Speaker 1: I really can't believe that here in fifteen years. I

537
00:27:25,359 --> 00:27:28,199
Speaker 1: think is being really super aggressive with that prediction. But

538
00:27:28,280 --> 00:27:29,879
Speaker 1: it is going to happen. I don't think that there

539
00:27:29,880 --> 00:27:32,199
Speaker 1: are enough people that would give up that freedom, you know,

540
00:27:32,240 --> 00:27:34,840
Speaker 1: that would say, well, you know, you say that, but

541
00:27:34,920 --> 00:27:39,320
Speaker 1: you may get legal and then suddenly, I mean granted

542
00:27:39,359 --> 00:27:40,840
Speaker 1: that there are votes held on it. I'm sure there

543
00:27:40,840 --> 00:27:42,960
Speaker 1: will be a lot of resistance, but it will become

544
00:27:43,119 --> 00:27:45,400
Speaker 1: more and more difficult to hold out against that, and

545
00:27:45,640 --> 00:27:48,359
Speaker 1: keep in mind we also have a generation behind us

546
00:27:48,400 --> 00:27:52,000
Speaker 1: Scott of people who don't want to own cars. Okay,

547
00:27:52,040 --> 00:27:54,360
Speaker 1: there's a boy, Where do I start with this one?

548
00:27:54,720 --> 00:27:56,879
Speaker 1: I don't think that's true either. I really don't think that.

549
00:27:57,119 --> 00:27:58,639
Speaker 1: You don't think that. The only thing that there's a

550
00:27:58,680 --> 00:28:01,320
Speaker 1: generation of millennials who are uh not as interested in

551
00:28:01,359 --> 00:28:04,720
Speaker 1: owning a vehicle because of the costs and and other

552
00:28:04,840 --> 00:28:07,440
Speaker 1: things things associated with it. I'm not buying that. I don't.

553
00:28:07,440 --> 00:28:09,359
Speaker 1: I don't really get the I don't think the numbers

554
00:28:09,359 --> 00:28:10,879
Speaker 1: are what they say they are. I think that I

555
00:28:10,880 --> 00:28:13,199
Speaker 1: think there are more kids that still want that freedom,

556
00:28:13,280 --> 00:28:15,359
Speaker 1: still want to be able to go out and you know,

557
00:28:15,640 --> 00:28:17,440
Speaker 1: go somewhere on their own. I don't think that the

558
00:28:17,880 --> 00:28:20,680
Speaker 1: cell phone or the uh, you know, the smartphones has

559
00:28:20,720 --> 00:28:24,119
Speaker 1: completely replaced the automobile, because that's what the argument is, right,

560
00:28:24,200 --> 00:28:26,520
Speaker 1: is that you know, if I can you know, Instagram

561
00:28:26,560 --> 00:28:28,760
Speaker 1: or snapchat with my friends all day, I don't really

562
00:28:28,760 --> 00:28:30,800
Speaker 1: need to drive over their house anymore. I don't. I

563
00:28:30,800 --> 00:28:33,240
Speaker 1: don't think that's really the case. I think people still

564
00:28:33,520 --> 00:28:36,000
Speaker 1: will want to interact with each other and still but

565
00:28:36,040 --> 00:28:38,680
Speaker 1: in the future where you have your smartphone and that's

566
00:28:38,680 --> 00:28:40,960
Speaker 1: what brings the car to you, and then you're the

567
00:28:41,000 --> 00:28:42,880
Speaker 1: car goes away and you don't have to worry about

568
00:28:42,880 --> 00:28:45,560
Speaker 1: it again. I'm not gonna win this name. That's the smartphone,

569
00:28:45,640 --> 00:28:48,840
Speaker 1: still the king, just saying welcome to my future. This

570
00:28:48,880 --> 00:28:50,960
Speaker 1: has a bit of a feel of almost like not

571
00:28:51,080 --> 00:28:54,480
Speaker 1: got you journalism, but like I set up like it's

572
00:28:54,480 --> 00:28:57,440
Speaker 1: a trap, grinning like a chess air cat when I

573
00:28:57,440 --> 00:28:59,280
Speaker 1: walked in there, so I knew that something was but

574
00:28:59,280 --> 00:29:01,479
Speaker 1: I didn't. You're gonna me with Cars will be illegal

575
00:29:01,520 --> 00:29:06,440
Speaker 1: in years car ownership and will not not even car ownership,

576
00:29:06,440 --> 00:29:09,760
Speaker 1: but car operation will be illegal in fifteen years. Cars

577
00:29:09,760 --> 00:29:11,920
Speaker 1: themselves will still be perfectly legal. They just have to

578
00:29:11,920 --> 00:29:16,400
Speaker 1: be operated by a machine the government, well by by

579
00:29:16,560 --> 00:29:20,480
Speaker 1: giant corporations, which is one step away from the government.

580
00:29:21,360 --> 00:29:27,080
Speaker 1: Commentary over from Jonathan Strickland. But we're not I was

581
00:29:27,160 --> 00:29:30,400
Speaker 1: mostly winding you up, Scott. We're mostly winding up. But

582
00:29:30,480 --> 00:29:32,280
Speaker 1: I will say that there are a lot of people

583
00:29:32,320 --> 00:29:35,040
Speaker 1: who actually argue that this is in fact the way

584
00:29:35,080 --> 00:29:38,160
Speaker 1: things are going to move, because again, it will get

585
00:29:38,200 --> 00:29:41,760
Speaker 1: harder and harder to make the argument against this movement

586
00:29:41,840 --> 00:29:45,240
Speaker 1: simply from a numbers perspective, if you're able to say, like, well,

587
00:29:45,280 --> 00:29:48,960
Speaker 1: look at the number of deaths that occurred due to

588
00:29:49,000 --> 00:29:52,680
Speaker 1: automobile accidents and see how far they've dropped since autonomous

589
00:29:52,720 --> 00:29:58,760
Speaker 1: cars have become um, you know, increasingly popular, and ultimately

590
00:29:58,800 --> 00:30:01,720
Speaker 1: that may drive legislation. I think that in the United

591
00:30:01,760 --> 00:30:05,360
Speaker 1: States it really will take longer than fifteen years for

592
00:30:05,400 --> 00:30:07,680
Speaker 1: this to happen now, probably because we have such a

593
00:30:07,720 --> 00:30:10,840
Speaker 1: car culture here. It's not gonna happen. It is going

594
00:30:10,880 --> 00:30:13,000
Speaker 1: to happen. So but but I'll tell you what I'll

595
00:30:13,040 --> 00:30:14,760
Speaker 1: put it. I'll put it off far enough where you

596
00:30:14,800 --> 00:30:17,200
Speaker 1: won't have to worry about it, right, Like it's like

597
00:30:17,320 --> 00:30:21,080
Speaker 1: seventy years from now. Well that way, see, I'm in

598
00:30:21,120 --> 00:30:26,280
Speaker 1: case there's some incredible like life prolonging technologies. I want

599
00:30:26,320 --> 00:30:28,880
Speaker 1: you to be comfortable. So I'm glad you didn't say

600
00:30:28,880 --> 00:30:31,360
Speaker 1: like that. I'll put it off into like seventeen years

601
00:30:31,440 --> 00:30:34,920
Speaker 1: you want to, I don't want to tell you, but

602
00:30:35,040 --> 00:30:37,800
Speaker 1: I've got planned for you in sixteen years, you know,

603
00:30:37,920 --> 00:30:40,160
Speaker 1: we'll tell you what. Who's you know who's really mad

604
00:30:40,200 --> 00:30:44,120
Speaker 1: about Uber to begin with is his cab drivers. And

605
00:30:44,520 --> 00:30:47,320
Speaker 1: just wait until you start taking people out of those

606
00:30:47,760 --> 00:30:50,360
Speaker 1: Uber vehicles and yeah, that's going to make them just

607
00:30:51,040 --> 00:30:54,200
Speaker 1: over the top angry. Well, and I actually I did

608
00:30:54,200 --> 00:30:56,840
Speaker 1: an episode of forward thinking about robo taxis, and at

609
00:30:56,840 --> 00:30:58,760
Speaker 1: the end of it I asked the question. I said,

610
00:30:59,280 --> 00:31:02,120
Speaker 1: maybe we should actually have some compassion and think ahead

611
00:31:02,120 --> 00:31:04,000
Speaker 1: of time, say all right, well, if this is in

612
00:31:04,040 --> 00:31:06,880
Speaker 1: fact inevitable, if if this is the future we are

613
00:31:06,920 --> 00:31:10,840
Speaker 1: headed to, and it seems like that's a fair bet now,

614
00:31:10,920 --> 00:31:13,080
Speaker 1: But of course you can never say that for sure. Right,

615
00:31:13,120 --> 00:31:15,360
Speaker 1: That's the thing about the future. It's unpredictable when you

616
00:31:15,400 --> 00:31:17,719
Speaker 1: get down to it. But assuming that that is in

617
00:31:17,760 --> 00:31:19,800
Speaker 1: fact the path we are headed down, and that is

618
00:31:19,840 --> 00:31:23,480
Speaker 1: the destination we will arrive at, maybe behooves us to

619
00:31:23,480 --> 00:31:26,440
Speaker 1: go ahead and have the conversation of what what sort

620
00:31:26,440 --> 00:31:28,680
Speaker 1: of opportunities do we look at? How do we where

621
00:31:28,720 --> 00:31:30,920
Speaker 1: do we look to transition the people who are taking

622
00:31:30,960 --> 00:31:34,680
Speaker 1: on driving as a profession, and what other things could

623
00:31:34,680 --> 00:31:37,640
Speaker 1: we look at as because as making an alternative to

624
00:31:37,800 --> 00:31:40,800
Speaker 1: them so that they can still make a living. And

625
00:31:40,880 --> 00:31:45,240
Speaker 1: the biggest answers I got were why are we worried

626
00:31:45,240 --> 00:31:48,000
Speaker 1: about that? Why are we worried about these people? And

627
00:31:48,000 --> 00:31:50,640
Speaker 1: I said, well, because I have compassion and I worry

628
00:31:50,720 --> 00:31:52,760
Speaker 1: about people who would be impact and they said, well,

629
00:31:52,760 --> 00:31:55,200
Speaker 1: you know, we've never really worried about that in the past.

630
00:31:55,320 --> 00:31:59,400
Speaker 1: Like when the loom was invented. You didn't see a

631
00:31:59,520 --> 00:32:02,920
Speaker 1: huge outcry of what are we what are all these

632
00:32:02,960 --> 00:32:04,800
Speaker 1: poor weavers going to do? And I thought, no, we

633
00:32:04,880 --> 00:32:08,360
Speaker 1: had revolutions instead and riots, and that what I'm saying

634
00:32:08,440 --> 00:32:13,800
Speaker 1: is that perhaps maybe some forward thinking about what these

635
00:32:13,840 --> 00:32:18,200
Speaker 1: folks should be doing in lieu of professional driving could

636
00:32:18,280 --> 00:32:22,200
Speaker 1: be preferable to having riots in the streets. You know,

637
00:32:22,280 --> 00:32:26,320
Speaker 1: there have actually been violent riots in response to Uber,

638
00:32:26,680 --> 00:32:29,640
Speaker 1: specifically in Paris. How certainly, yeah, people get people are

639
00:32:29,640 --> 00:32:32,440
Speaker 1: just outright, well, cab drivers are outraged, and companies are outraged.

640
00:32:32,480 --> 00:32:35,959
Speaker 1: And to some degree of success, uh, they have they

641
00:32:35,960 --> 00:32:39,400
Speaker 1: have kept Uber out of certain cities, certain regions. Spain

642
00:32:39,480 --> 00:32:45,120
Speaker 1: and Thailand have banned Uber. China in Portland, Oregon sued

643
00:32:45,320 --> 00:32:48,040
Speaker 1: Uber for coming into Portland. I got a lot of

644
00:32:48,040 --> 00:32:52,480
Speaker 1: thoughts about Portland save that for Portlandia episode Nevada. I think, um,

645
00:32:53,080 --> 00:32:55,440
Speaker 1: what's another one? New Mexico? Maybe is that right? I'm

646
00:32:55,480 --> 00:32:57,800
Speaker 1: not sure about other states, but I do know that,

647
00:32:57,920 --> 00:33:01,640
Speaker 1: uh what an Anchorage, Alaska Uber pulled out of anchorage.

648
00:33:02,040 --> 00:33:04,880
Speaker 1: They had gone in and then after hitting a lot

649
00:33:04,920 --> 00:33:08,040
Speaker 1: of resistance, decided that it wasn't worth the while of

650
00:33:08,040 --> 00:33:11,000
Speaker 1: fighting that fight and left. And Uh, I feel like

651
00:33:11,040 --> 00:33:14,040
Speaker 1: every week there's another city or another region that says

652
00:33:14,760 --> 00:33:17,160
Speaker 1: we're we're outlawing it in this area. Can't you're not

653
00:33:17,200 --> 00:33:19,120
Speaker 1: allowed to pick up at the airport, You're not allowed

654
00:33:19,160 --> 00:33:22,920
Speaker 1: to you know, deliver guests to this this hotel region

655
00:33:22,960 --> 00:33:25,440
Speaker 1: inside of this convention region. I guess where the center is.

656
00:33:25,480 --> 00:33:28,720
Speaker 1: And there's been a lot of of of battles back

657
00:33:28,720 --> 00:33:30,760
Speaker 1: and forth on that, and some of them just end

658
00:33:30,840 --> 00:33:34,760
Speaker 1: up eventually resulting in regulations being passed that that put

659
00:33:34,880 --> 00:33:41,040
Speaker 1: Uber under essentially the same restrictions and and um responsibilities

660
00:33:41,160 --> 00:33:44,400
Speaker 1: as like a taxi service, so drivers would have to

661
00:33:44,400 --> 00:33:46,520
Speaker 1: go and get a permit from issued by the state,

662
00:33:46,560 --> 00:33:49,560
Speaker 1: that kind of stuff. Where where it ends up making

663
00:33:49,600 --> 00:33:53,680
Speaker 1: it a more level playing ground between Uber and existing services. Now,

664
00:33:53,680 --> 00:33:56,120
Speaker 1: there's some people who argue that's the wrong way of

665
00:33:56,160 --> 00:33:59,920
Speaker 1: looking at it, that the taxi regulations are based out

666
00:34:00,040 --> 00:34:03,800
Speaker 1: an old and now outdated mode of thinking, and that

667
00:34:03,880 --> 00:34:06,760
Speaker 1: this Uber approach is really the way we should be

668
00:34:06,800 --> 00:34:10,640
Speaker 1: moving forward. It is pretty antiquated with especially the medallion system.

669
00:34:10,920 --> 00:34:14,120
Speaker 1: And that's something that I know that's a thorn in

670
00:34:14,120 --> 00:34:16,080
Speaker 1: a lot of people's side. Yeah, I heard that. I

671
00:34:16,200 --> 00:34:18,799
Speaker 1: think in two thousand thirteen, a medallion in New York

672
00:34:18,840 --> 00:34:22,200
Speaker 1: costs one and a half million dollars something like that.

673
00:34:22,280 --> 00:34:25,840
Speaker 1: I might be off numbers as of today, Okay, I

674
00:34:25,840 --> 00:34:27,879
Speaker 1: looked at these today. I went to a site called

675
00:34:27,880 --> 00:34:31,160
Speaker 1: New York City cab dot com and that's where they buy, sell,

676
00:34:31,280 --> 00:34:34,520
Speaker 1: and lease medallions. And you can go there right now

677
00:34:34,560 --> 00:34:36,319
Speaker 1: and check out what you know, what the going rate

678
00:34:36,360 --> 00:34:38,360
Speaker 1: is right now. But today the lowest price for a

679
00:34:38,480 --> 00:34:41,840
Speaker 1: single medallion as of this morning was seven hundred and

680
00:34:41,840 --> 00:34:44,440
Speaker 1: thirty thousand dollars for the lowest price one that I saw,

681
00:34:44,480 --> 00:34:45,959
Speaker 1: at least on the top, you know, the front page.

682
00:34:45,960 --> 00:34:48,160
Speaker 1: I think there were several pages. But after you get

683
00:34:48,160 --> 00:34:49,879
Speaker 1: past the first page, he gets into like a lot

684
00:34:49,920 --> 00:34:54,200
Speaker 1: of leasing situations. So um, around eight hundred to eight

685
00:34:54,280 --> 00:34:57,359
Speaker 1: hundred twenty thousand dollars was more typical. So I saw

686
00:34:57,400 --> 00:35:00,960
Speaker 1: several for that individual medallions. And then a lot of

687
00:35:01,120 --> 00:35:03,440
Speaker 1: places are a lot of people were selling sets of two,

688
00:35:03,719 --> 00:35:06,160
Speaker 1: so probably cab companies that have gone under, you know

689
00:35:06,239 --> 00:35:09,200
Speaker 1: company meaning two or four vehicles maybe, but they're still

690
00:35:09,239 --> 00:35:11,359
Speaker 1: in two at a time. The highest prices software set

691
00:35:11,360 --> 00:35:15,160
Speaker 1: it too, was one point seven million dollars a little

692
00:35:15,160 --> 00:35:18,279
Speaker 1: bit over that, and uh, I think the there were

693
00:35:18,320 --> 00:35:21,359
Speaker 1: lots of sets for two of two. Rather they were

694
00:35:21,400 --> 00:35:23,799
Speaker 1: going for about one point six million dollars. So it's

695
00:35:23,800 --> 00:35:27,920
Speaker 1: expensive and medallions are essentially that's the authorization of operating

696
00:35:27,920 --> 00:35:30,680
Speaker 1: a vehicle as a cab, and that's gone way way up.

697
00:35:30,719 --> 00:35:32,719
Speaker 1: Because the another site that I went to, and I

698
00:35:32,719 --> 00:35:35,640
Speaker 1: can't remember where this came from, but I quickly scribbled

699
00:35:35,640 --> 00:35:38,120
Speaker 1: down these notes because I found it pretty fascinating that,

700
00:35:38,680 --> 00:35:40,560
Speaker 1: you know, it wasn't that long ago. You know, they

701
00:35:40,560 --> 00:35:43,160
Speaker 1: weren't a million dollars always. You know, they've become more

702
00:35:43,160 --> 00:35:44,960
Speaker 1: and more valuable. So good for the people that are

703
00:35:44,960 --> 00:35:46,960
Speaker 1: holding onto these medallions because they could sell them at

704
00:35:46,960 --> 00:35:50,200
Speaker 1: that price. Those that bought them early on, they made

705
00:35:50,239 --> 00:35:53,000
Speaker 1: quite a bit of money because um, in mid just

706
00:35:53,040 --> 00:35:55,520
Speaker 1: in mid two thousand eleven, it was less than three

707
00:35:55,600 --> 00:35:58,560
Speaker 1: quarters of that price, so that's reasonable. In two thousand

708
00:35:58,600 --> 00:36:00,640
Speaker 1: eight it was almost half the price, and we're talking

709
00:36:00,640 --> 00:36:03,480
Speaker 1: about the million dollar price, so um, you know, in

710
00:36:03,520 --> 00:36:06,120
Speaker 1: two thousand eight it was about five hundred thousand in

711
00:36:06,160 --> 00:36:07,960
Speaker 1: two thousand four, or was about a third of the

712
00:36:07,960 --> 00:36:10,799
Speaker 1: price of about three hundred thousand, and if you had

713
00:36:10,840 --> 00:36:12,879
Speaker 1: gone all the way back to eight to buy one,

714
00:36:13,239 --> 00:36:16,200
Speaker 1: it's about one thousand dollars one thousand, and right now

715
00:36:16,200 --> 00:36:18,279
Speaker 1: you could sell it for eight hundred thousand dollars. I

716
00:36:18,320 --> 00:36:20,960
Speaker 1: think when they first started selling medallion's way back when

717
00:36:21,000 --> 00:36:23,600
Speaker 1: it first started, it was ten bucks ten dollars, but

718
00:36:23,640 --> 00:36:25,960
Speaker 1: then it was also ten bucks in like nineteen thirties

719
00:36:26,080 --> 00:36:28,160
Speaker 1: or some money, I guess. But there's but there's only

720
00:36:28,520 --> 00:36:31,160
Speaker 1: a certain number of medallions available, and that's the thing.

721
00:36:31,200 --> 00:36:34,320
Speaker 1: It's a limited commodity. So there's what thirteen thousand I

722
00:36:34,360 --> 00:36:37,279
Speaker 1: think that somewhere somewhere in the five hundred neighborhood. And

723
00:36:37,320 --> 00:36:39,680
Speaker 1: not all of those get sold every year, Only a

724
00:36:39,800 --> 00:36:43,239
Speaker 1: very small number exchange hands every year. But every year

725
00:36:43,239 --> 00:36:45,440
Speaker 1: it goes up, up, up, and it gets to this

726
00:36:45,680 --> 00:36:48,000
Speaker 1: astronomical level of where, you know, to buy two of them,

727
00:36:48,000 --> 00:36:51,120
Speaker 1: now you're gonna pay a million six And see, that's

728
00:36:51,160 --> 00:36:54,440
Speaker 1: a that's a that's a world. That's you can understand

729
00:36:54,440 --> 00:36:57,440
Speaker 1: why there's this incredible reaction to Uber because that's the

730
00:36:57,480 --> 00:37:02,120
Speaker 1: world that's been you know, really ensconced and and and

731
00:37:02,120 --> 00:37:05,880
Speaker 1: and almost like a fortress has been built around that business. Well,

732
00:37:05,920 --> 00:37:07,719
Speaker 1: if they're allowed to come in, that means that those

733
00:37:07,760 --> 00:37:11,840
Speaker 1: tokens are essentially worthless. Yeah, yeah, and there are worth

734
00:37:11,920 --> 00:37:13,880
Speaker 1: nothing to them at that point, and that that would

735
00:37:13,880 --> 00:37:16,640
Speaker 1: be so frustrating to see that come in and happen.

736
00:37:16,680 --> 00:37:19,719
Speaker 1: I understand that, I completely get it, but you do

737
00:37:19,840 --> 00:37:21,319
Speaker 1: have to kind of look at the way things are

738
00:37:21,320 --> 00:37:24,560
Speaker 1: going I mean, this is like you I feel, this

739
00:37:24,640 --> 00:37:27,400
Speaker 1: is the way that things are going to change. It's

740
00:37:27,440 --> 00:37:29,200
Speaker 1: going to it's going to uh, it's going to have

741
00:37:29,239 --> 00:37:33,839
Speaker 1: to happen this really Yeah. So that's why I keep asking, like, well,

742
00:37:33,880 --> 00:37:36,279
Speaker 1: what we need to think about these things ahead of

743
00:37:36,320 --> 00:37:38,920
Speaker 1: time so that we can at least make the transition

744
00:37:38,920 --> 00:37:41,799
Speaker 1: as smooth as possible. If it's going to happen, then

745
00:37:41,880 --> 00:37:44,680
Speaker 1: let's not you know, put as much energy into fighting

746
00:37:44,680 --> 00:37:48,600
Speaker 1: it or delaying it. Let's put that energy into, well,

747
00:37:48,360 --> 00:37:51,240
Speaker 1: what are some practical ways that we can make sure

748
00:37:51,320 --> 00:37:54,040
Speaker 1: the people who are going to be negatively impacted by

749
00:37:54,080 --> 00:37:57,520
Speaker 1: this are able to find other means of making a

750
00:37:57,560 --> 00:38:02,320
Speaker 1: living and less worry about you know, let's put that

751
00:38:02,320 --> 00:38:04,120
Speaker 1: off until next year, because we're still gonna have to

752
00:38:04,120 --> 00:38:06,200
Speaker 1: deal with it. Let's just let's let's put the energy

753
00:38:06,239 --> 00:38:08,640
Speaker 1: to dealing with it now, coming up with some answers

754
00:38:08,680 --> 00:38:14,239
Speaker 1: so that when this inevitable transition happens, it isn't like

755
00:38:14,719 --> 00:38:17,799
Speaker 1: an incredibly disruptive, painful time. Well, you know, if your

756
00:38:17,840 --> 00:38:20,239
Speaker 1: game is driving, that's your thing, that's your career, that's

757
00:38:20,239 --> 00:38:23,719
Speaker 1: your your chosen path. Uh, it's not like everything is

758
00:38:23,719 --> 00:38:26,120
Speaker 1: gonna switch overnight either. So you're gonna be able to

759
00:38:26,440 --> 00:38:28,320
Speaker 1: move to something else that you know, it may be

760
00:38:28,480 --> 00:38:30,600
Speaker 1: more or less profitable than what you're doing now, but

761
00:38:30,680 --> 00:38:33,279
Speaker 1: you're still gonna be able to do what you've been

762
00:38:33,320 --> 00:38:35,080
Speaker 1: trained to do or what you have done for the

763
00:38:35,120 --> 00:38:39,240
Speaker 1: last twenty years or whatever. Find a different way to

764
00:38:39,360 --> 00:38:42,000
Speaker 1: use that skill in some other form, in another in

765
00:38:42,000 --> 00:38:45,839
Speaker 1: another industry. Maybe you're maybe you're you know, I hate

766
00:38:45,840 --> 00:38:48,759
Speaker 1: to even say like alternatives to it, but um, let's

767
00:38:48,800 --> 00:38:51,520
Speaker 1: say that you're, you know, running documents across town all day,

768
00:38:51,560 --> 00:38:53,960
Speaker 1: you know, for a law firm. Um, but you're making

769
00:38:54,000 --> 00:38:56,920
Speaker 1: money driving again, or you're working for a hospital delivering

770
00:38:57,160 --> 00:38:59,960
Speaker 1: you know, needed medical supplies or something like that. Fine,

771
00:39:00,239 --> 00:39:03,360
Speaker 1: find other alternative routes to uh, you know, to to

772
00:39:03,440 --> 00:39:06,160
Speaker 1: explore with this, and I don't think you know, the

773
00:39:06,200 --> 00:39:07,840
Speaker 1: camp rivers need to be afraid that they're going to

774
00:39:07,920 --> 00:39:11,520
Speaker 1: be completely shut out, you know, overnight. No, it's not

775
00:39:11,520 --> 00:39:13,440
Speaker 1: gonna happen. Now. That's why I say, like it's it's

776
00:39:13,480 --> 00:39:15,520
Speaker 1: good to think of it ahead of time, so that way,

777
00:39:16,040 --> 00:39:19,080
Speaker 1: as the transition happens, you have a plan in place,

778
00:39:19,160 --> 00:39:23,000
Speaker 1: as opposed to that inevitable day comes where you get

779
00:39:23,000 --> 00:39:26,960
Speaker 1: your pink slip because the robots are taking over. Right.

780
00:39:27,320 --> 00:39:29,000
Speaker 1: So I mean, then, by the way, when when I

781
00:39:29,040 --> 00:39:31,399
Speaker 1: talk about this, it's not just with drivers. I mean

782
00:39:31,440 --> 00:39:33,640
Speaker 1: there's so many jobs that are going to be replaced

783
00:39:33,640 --> 00:39:36,000
Speaker 1: through automation. And we're already seeing that. I mean, we've

784
00:39:36,040 --> 00:39:39,000
Speaker 1: seen that in lots of industries already. It's a story

785
00:39:39,040 --> 00:39:41,759
Speaker 1: that's happened over and over again. It will eventually hit

786
00:39:41,880 --> 00:39:44,880
Speaker 1: pretty much every job that's out there. And when the

787
00:39:44,960 --> 00:39:48,520
Speaker 1: robo podcast start, I guess I'll subscribe and I'll just

788
00:39:48,760 --> 00:39:52,680
Speaker 1: weep little tears. You think it will happen someday, I

789
00:39:52,719 --> 00:39:55,120
Speaker 1: don't know. Maybe. I mean if we ever, if we

790
00:39:55,200 --> 00:39:59,560
Speaker 1: ever can create an artificial intelligence that can actually innovate

791
00:39:59,800 --> 00:40:02,840
Speaker 1: as in come up with interesting things to say and

792
00:40:02,920 --> 00:40:07,319
Speaker 1: not just parrot them and repeat them. I'm out of

793
00:40:07,320 --> 00:40:09,480
Speaker 1: a job all day. You know, I'm all for a

794
00:40:09,560 --> 00:40:11,680
Speaker 1: robot running the Car Stuff podcast, as long as does

795
00:40:11,719 --> 00:40:13,600
Speaker 1: it stumble around as much as I do, because I

796
00:40:14,239 --> 00:40:17,320
Speaker 1: tend to wander off on you know, um just stories

797
00:40:17,360 --> 00:40:20,839
Speaker 1: they go nowhere, Like I got a story to tell you,

798
00:40:20,880 --> 00:40:23,040
Speaker 1: but there's going to be a fifteen parter to lead

799
00:40:23,120 --> 00:40:26,879
Speaker 1: into the story bar on that issue. Yeah, I'm all.

800
00:40:26,960 --> 00:40:29,400
Speaker 1: I'm all about that myself for for all of the

801
00:40:29,440 --> 00:40:32,000
Speaker 1: podcasts I do. Scott, thank you for coming on here

802
00:40:32,120 --> 00:40:35,000
Speaker 1: and giving your perspective on these things. That was a

803
00:40:35,040 --> 00:40:37,759
Speaker 1: lot of fun to to chat with you about this

804
00:40:37,840 --> 00:40:40,560
Speaker 1: because obviously we come from this from two very different

805
00:40:40,800 --> 00:40:44,040
Speaker 1: points of view, right. I mean I don't drive, um,

806
00:40:44,080 --> 00:40:48,080
Speaker 1: and clearly you hate cars. Yeah, that's it. I despice cars.

807
00:40:49,120 --> 00:40:53,280
Speaker 1: I have. I I hissedet them vampires style and whenever

808
00:40:53,320 --> 00:40:55,480
Speaker 1: I see one. No, I don't hate cars, but I

809
00:40:55,520 --> 00:40:58,960
Speaker 1: certainly don't like driving. So um, in my world, the

810
00:40:59,040 --> 00:41:03,680
Speaker 1: idea of an electric vehicle that can autonomously take me

811
00:41:03,760 --> 00:41:06,480
Speaker 1: from point A to point B as quickly and efficiently

812
00:41:06,520 --> 00:41:08,520
Speaker 1: as possible, and I don't have to worry about it,

813
00:41:08,920 --> 00:41:12,359
Speaker 1: you know, doing the crossword while trying to drive, which,

814
00:41:12,400 --> 00:41:14,959
Speaker 1: by the way, I have been in a cab where

815
00:41:14,960 --> 00:41:18,600
Speaker 1: the cab driver was filling out a crossword puzzle while

816
00:41:18,719 --> 00:41:22,040
Speaker 1: navigating the streets of New York. Yeah, I would never

817
00:41:22,080 --> 00:41:24,520
Speaker 1: have to worry about that. I want that world to happen.

818
00:41:24,560 --> 00:41:27,400
Speaker 1: But then I'm not Also, I'm also a person who

819
00:41:27,520 --> 00:41:29,440
Speaker 1: and I'm in the minority in the United States, I

820
00:41:29,440 --> 00:41:33,440
Speaker 1: would argue person who does not find any joy in driving.

821
00:41:33,719 --> 00:41:36,920
Speaker 1: So for me, this is precisely what I would want.

822
00:41:37,080 --> 00:41:39,080
Speaker 1: You know what, I totally understand that I know that

823
00:41:39,080 --> 00:41:41,359
Speaker 1: there are people that that can't drive that would also

824
00:41:41,360 --> 00:41:43,799
Speaker 1: appreciate this sure and that in fact, I talked about

825
00:41:43,840 --> 00:41:46,360
Speaker 1: that a little bit in the first part of this podcast,

826
00:41:46,400 --> 00:41:50,839
Speaker 1: where one of the big complaints about uber right now

827
00:41:51,080 --> 00:41:53,800
Speaker 1: is that people with disabilities say that it's not nearly

828
00:41:53,840 --> 00:41:57,400
Speaker 1: accessible enough for those people and that that's something that

829
00:41:57,440 --> 00:42:00,759
Speaker 1: needs to change. And if that did change, it would

830
00:42:00,800 --> 00:42:04,560
Speaker 1: be I mean, the amount of independence that gives somebody

831
00:42:04,840 --> 00:42:07,560
Speaker 1: is it's difficult to explain to someone who has taken

832
00:42:07,560 --> 00:42:10,080
Speaker 1: it for granted. And not only disability, You've got to

833
00:42:10,080 --> 00:42:12,960
Speaker 1: think about aging as well. People that you know, are

834
00:42:13,280 --> 00:42:15,600
Speaker 1: simply get to a point where they're unable to, you know,

835
00:42:15,760 --> 00:42:18,640
Speaker 1: maintain their own license. You know, vision or hearing or

836
00:42:18,680 --> 00:42:21,600
Speaker 1: whatever happens to be. It's usually vision or um, you know,

837
00:42:21,640 --> 00:42:25,839
Speaker 1: physical ability. And this would extend the time that they're

838
00:42:25,920 --> 00:42:28,520
Speaker 1: they have a bit of freedom to move around the city.

839
00:42:28,800 --> 00:42:31,759
Speaker 1: And that's that is very I mean, it's it's it's

840
00:42:31,800 --> 00:42:35,800
Speaker 1: incredibly important. We have an increasingly large aging population in

841
00:42:35,840 --> 00:42:39,239
Speaker 1: the United States where giving that amount of independence and

842
00:42:39,320 --> 00:42:42,800
Speaker 1: extending the independence to someone, I mean, it's difficult to

843
00:42:42,800 --> 00:42:44,920
Speaker 1: put into words how important that is. And you know

844
00:42:45,040 --> 00:42:47,680
Speaker 1: how I mean, just one other level to that whole

845
00:42:47,719 --> 00:42:49,960
Speaker 1: thing is that you know, when you get older like

846
00:42:50,000 --> 00:42:52,680
Speaker 1: that and you're not you're not quite as as I

847
00:42:52,719 --> 00:42:54,640
Speaker 1: guess you're a little more frail than you where when

848
00:42:54,640 --> 00:42:58,399
Speaker 1: you're younger. Um, there's also the safety concern into a cab.

849
00:42:58,520 --> 00:42:59,840
Speaker 1: You know what's going to happen. You know, you're you

850
00:42:59,840 --> 00:43:01,960
Speaker 1: don't know who this person is this picking you up. Yeah,

851
00:43:02,000 --> 00:43:04,000
Speaker 1: I would think that a lot of senior citizens that

852
00:43:04,040 --> 00:43:07,040
Speaker 1: are beyond driving age would feel comfortable getting into a

853
00:43:07,120 --> 00:43:09,839
Speaker 1: vehicle that doesn't have anybody in there. It's it's very

854
00:43:09,840 --> 00:43:11,920
Speaker 1: secure it's very safe. You can lock the doors and

855
00:43:12,160 --> 00:43:14,160
Speaker 1: you know the rest of the world's out there. It

856
00:43:14,160 --> 00:43:16,439
Speaker 1: takes you right to the shopping mall or wherever you're going,

857
00:43:16,719 --> 00:43:19,239
Speaker 1: brings you back home. It's it's pretty safe for it

858
00:43:19,280 --> 00:43:22,840
Speaker 1: for you. Really. Yeah, yeah, I definitely see lots of

859
00:43:22,960 --> 00:43:26,160
Speaker 1: positives about this. I mean, you know, you can't ignore

860
00:43:26,280 --> 00:43:30,600
Speaker 1: the the concerns obviously, but uh, seeing as this is

861
00:43:30,640 --> 00:43:34,359
Speaker 1: the way we both feel we're inevitably going to head,

862
00:43:35,160 --> 00:43:38,920
Speaker 1: I think there are worse futures that we could realize.

863
00:43:39,040 --> 00:43:41,520
Speaker 1: As much as I like to resist the idea, UM,

864
00:43:41,800 --> 00:43:45,040
Speaker 1: I do think it's coming. Yeah. I look forward to,

865
00:43:45,200 --> 00:43:49,520
Speaker 1: uh to revisiting this topic in fifteen years to get

866
00:43:49,560 --> 00:43:54,200
Speaker 1: your your tirade on the day when they outlaw human drivers.

867
00:43:55,360 --> 00:43:58,520
Speaker 1: Why did we ever put them in office? Uh, well,

868
00:43:58,560 --> 00:44:00,839
Speaker 1: that'll that they will will We'll have to wait over

869
00:44:00,880 --> 00:44:03,479
Speaker 1: that day. In the meantime, if you want to check

870
00:44:03,520 --> 00:44:06,920
Speaker 1: out Scott's podcasts, and I highly recommend you do, I

871
00:44:07,080 --> 00:44:09,480
Speaker 1: think you need to go over and check out cars stuff.

872
00:44:09,520 --> 00:44:13,680
Speaker 1: You and Ben cover all sorts of topics. Uh and uh,

873
00:44:13,880 --> 00:44:18,319
Speaker 1: they're always incredibly informative and entertaining. Thank you appreciate that's

874
00:44:18,320 --> 00:44:22,000
Speaker 1: a the wonderful compliment, and we try to not make

875
00:44:22,000 --> 00:44:23,960
Speaker 1: it so dry all the time. We can get a

876
00:44:23,960 --> 00:44:26,160
Speaker 1: little history in there, some fun stuff too. It's not

877
00:44:26,320 --> 00:44:28,560
Speaker 1: just uh, you know, nuts and bolts type stuff. I

878
00:44:28,600 --> 00:44:30,640
Speaker 1: still I mean, like I listened to it. I'm one

879
00:44:30,680 --> 00:44:35,880
Speaker 1: of my favorite ones. I loved them. The coast to

880
00:44:35,920 --> 00:44:40,720
Speaker 1: coast racing. Oh yes, the fastest trip across the United States.

881
00:44:40,800 --> 00:44:42,200
Speaker 1: Right yeah, I think it might have been that one

882
00:44:42,280 --> 00:44:45,839
Speaker 1: ye Canniball run Gumball rally. Whenever we start talking about

883
00:44:45,840 --> 00:44:48,000
Speaker 1: that kind of stuff, I'm like, oh, because even though

884
00:44:48,000 --> 00:44:51,160
Speaker 1: I don't drive, I love those that idea, Like like,

885
00:44:51,640 --> 00:44:54,720
Speaker 1: all right, well let's let's let's break a few laws.

886
00:44:54,760 --> 00:44:56,520
Speaker 1: Maybe you're not as much of a hater as I

887
00:44:56,520 --> 00:44:58,279
Speaker 1: thought too. I am not as much of a hater.

888
00:44:58,600 --> 00:45:01,680
Speaker 1: Just I've got I got the hate filled up to

889
00:45:01,719 --> 00:45:04,440
Speaker 1: the threshold. Bits month speaking over the top. Good to know,

890
00:45:04,560 --> 00:45:06,719
Speaker 1: and thanks for having me on your show. By the way,

891
00:45:06,760 --> 00:45:08,600
Speaker 1: well thank you for for for jumping on at the

892
00:45:08,680 --> 00:45:11,480
Speaker 1: last minute. I really appreciate it. Always fun. All right, guys,

893
00:45:11,520 --> 00:45:14,160
Speaker 1: if you have any suggestions for future topics of tech stuff,

894
00:45:14,160 --> 00:45:16,280
Speaker 1: why don't you just send me an email that addresses

895
00:45:16,320 --> 00:45:18,480
Speaker 1: tech Stuff at how stuff works dot com or drop

896
00:45:18,560 --> 00:45:21,000
Speaker 1: me a line on Twitter or Facebook. I am tech

897
00:45:21,040 --> 00:45:23,200
Speaker 1: Stuff hs W both of those, and I'll talk to

898
00:45:23,200 --> 00:45:32,640
Speaker 1: you again really soon for more on this and batons

899
00:45:32,640 --> 00:45:43,920
Speaker 1: and other topics, because it has stuff works dot com