WEBVTT - Hailing the Robo Cab

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<v Speaker 1>Brought to you by Toyota Let's Go Places. Welcome to

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<v Speaker 1>Forward Thinking Either and welcome to Forward Thinking, the podcast

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<v Speaker 1>that looks at the teacher and says they paid paradise

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<v Speaker 1>and put up a parking lot. I'm Jonathan Strickland, I'm

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<v Speaker 1>Lauren Vocal, and I'm Joe McCormick. And today, Yes, Joe,

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<v Speaker 1>we're going to start by reading out an email that

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<v Speaker 1>we got in reference to one of our most recent podcasts.

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<v Speaker 1>It was an email from our listener Frank in New York.

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<v Speaker 1>Or maybe it'd be better to stay Long Island, Long Island.

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<v Speaker 1>Oh goodness, Now, let's let's not do accents. It's too

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<v Speaker 1>early in the afternoon to do accents, you guys. Uh no, no,

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<v Speaker 1>so so Frank rotein and said, Hi, guys, just listen

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<v Speaker 1>to part two of Mega Cities. Joe made a comment

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<v Speaker 1>that compelled me to share my experience and possibly blow

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<v Speaker 1>his mind as well as garner a little sympathy for me.

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<v Speaker 1>His comment was and thing like, o MG, people actually

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<v Speaker 1>drive into New York City. Oh yes, Joe. Unfortunately a

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<v Speaker 1>lot of us are tortured on a daily basis. I

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<v Speaker 1>live on Long Island, about sixty miles from my job

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<v Speaker 1>in Lower Manhattan editorializing huh okay back. Although Jonathan only

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<v Speaker 1>lives three miles from his job, sixty miles is an

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<v Speaker 1>average commute around here, But the distance isn't really the issue.

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<v Speaker 1>The issue is time. It takes me three hours each

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<v Speaker 1>way every day. Talk about premature aging. It is literal torture.

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<v Speaker 1>Now many people would to spend their sympathy to make

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<v Speaker 1>the point that I must have or should have taken

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<v Speaker 1>the commuting time into consideration when I bought my house.

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<v Speaker 1>I did. I bought my house in two and considered

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<v Speaker 1>the commute into Manhattan acceptable because it only took an

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<v Speaker 1>hour and twenty minutes, despite expanding all of the major

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<v Speaker 1>highways and implementing new strategies to ease traffic, the population

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<v Speaker 1>of Long Island in New York City having increased so

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<v Speaker 1>quickly that my commute time is more than doubled in

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<v Speaker 1>the twenty three years I've been doing this. No real

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<v Speaker 1>point to make here, just my two cents. I enjoyed

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<v Speaker 1>the show. Thank you Frank, Well, thank you Frank. That

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<v Speaker 1>was enlightening and a true nightmare to imagine. It was

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<v Speaker 1>like one of the better Stephen King short stories. Yeah yeah,

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<v Speaker 1>and uh, it takes me an hour to get to work,

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<v Speaker 1>but that's because I walk. If I didn't walk, it

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<v Speaker 1>would take me like ten minutes to work, you know,

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<v Speaker 1>because he was saying, like, you know, three hours for

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<v Speaker 1>sixty miles, takes me an hour just to go three

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<v Speaker 1>but then I'm on foot. Well just sure, sure, but yeah,

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<v Speaker 1>I mean if you took, for example, a taxi, Yeah,

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<v Speaker 1>if I if I, if I decided to take a cab,

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<v Speaker 1>it would take me no time at all. Don't lie, Jonathan.

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<v Speaker 1>Sometimes you call Uber. I have done that on occasion,

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<v Speaker 1>usually when the weather is particularly awful. Yeah, normally I

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<v Speaker 1>will walk it. But if if I am one exhausted

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<v Speaker 1>and it's ninety eight degrees outside in seventy humidity, yeah

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<v Speaker 1>I'm gonna call Uber. Or if it's pouring down rain,

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<v Speaker 1>I'll call Uber. Otherwise I walk it. And I got

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<v Speaker 1>tell you. When I take Uber and I get in

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<v Speaker 1>an air conditioned vehicle and I am quickly whisked away

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<v Speaker 1>to my house in just ten or fifteen minutes, I

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<v Speaker 1>start to really reconsider my part priorities when it comes

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<v Speaker 1>to walking. Yeah. Yeah, all these car services are kind

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<v Speaker 1>of rad. Yeah, they totally are. I mean, it's and

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<v Speaker 1>it's one of those things that has developed quickly over

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<v Speaker 1>the past several years. And what led us to this

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<v Speaker 1>particular episode and the reason why Frank's message is so

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<v Speaker 1>is so pertinent, is we wanted to talk about this

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<v Speaker 1>concept of combining a couple of things we've talked about

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<v Speaker 1>in previous episodes. So, uh, we're talking mostly about autonomous vehicles,

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<v Speaker 1>which we've covered multiple times on this show, and we're

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<v Speaker 1>talking about ways to improve dense urban environments so that

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<v Speaker 1>they are more pleasant to to work, play and live

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<v Speaker 1>in travel around in. Yeah. Yeah, And we've done at

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<v Speaker 1>least three episodes about autonomous cars and how they work.

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<v Speaker 1>So if you want to hear a whole lot about that,

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<v Speaker 1>you can tune into Maximum over Clock and Lookamano Hands,

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<v Speaker 1>both of which are from March and Robot You Can

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<v Speaker 1>Drive My Car, which is by far my favorite episode

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<v Speaker 1>title to say out loud from November. Do we really

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<v Speaker 1>want to send people back to those March episodes? Yeah,

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<v Speaker 1>listen at your own risk. That was like the first

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<v Speaker 1>month we were doing the show, early early in the

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<v Speaker 1>in the whole deal. But that tells you how many

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<v Speaker 1>times we've talked about autonomous cars I mean those are

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<v Speaker 1>those are the ones that are expressly about autonomous cars.

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<v Speaker 1>We also seem to mention them at least once every

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<v Speaker 1>month or so. Well, we do because I think we're

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<v Speaker 1>all three on record, and please feel free to disagree

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<v Speaker 1>as being pretty pro autonomous car. You know, like there

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<v Speaker 1>are a lot of emerging technologies that have pros and

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<v Speaker 1>cons things we can point out say, I don't know,

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<v Speaker 1>you know that this could turn out bad. It's always

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<v Speaker 1>hard to tell what the full range of effects of

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<v Speaker 1>a new technology will be. With autonomous cars, I think

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<v Speaker 1>the motivation is there for adoption. I think they're going

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<v Speaker 1>to be overall beneficial in a pretty serious and noticeable way,

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<v Speaker 1>and I think I want one. Yeah, they're they're provably

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<v Speaker 1>at this current stage, safer than human drivers and also

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<v Speaker 1>uh more fuel efficient exactly. Yeah. So, so just a

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<v Speaker 1>quick rundown on the benefits of autonomous cars, we've we've

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<v Speaker 1>kind of mentioned them here. For an autonomous car, you

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<v Speaker 1>can put sensors in every location around that car so

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<v Speaker 1>that it can it can completely sense its environment with

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<v Speaker 1>no blind spots. So that's already an advantage over a

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<v Speaker 1>human driver. Right. Also, it can pay equal amounts of

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<v Speaker 1>attention to all of those at the same time processing

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<v Speaker 1>all of that information, whereas as a human driver, you

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<v Speaker 1>are focused on pretty much a single direction, with maybe

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<v Speaker 1>some peripheral awareness of some other stuff that's going on,

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<v Speaker 1>but it's not your full focus. It can't be can

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<v Speaker 1>and look everywhere and it does. You can't look everywhere

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<v Speaker 1>and you don't, right, uh, And if you try, then

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<v Speaker 1>often bad things can happen. Maybe this is why Sherlock

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<v Speaker 1>Holmes doesn't drive out anywhere. Yeah, ever, because he's too

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<v Speaker 1>much stuff all the time. Yeah, Yeah, it's very possible.

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<v Speaker 1>The automous cars can also react in a fraction of

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<v Speaker 1>the time it takes a human to react to the

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<v Speaker 1>same stimulus. So if there's an emergency situation where you

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<v Speaker 1>need to apply the break, a robotic car is going

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<v Speaker 1>to be able to do that more effectively and faster

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<v Speaker 1>than any human could. Um. And if the concentration of

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<v Speaker 1>autonomous cars is high enough on the road, it can

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<v Speaker 1>really help reduce traffic congestion. We've talked about that in

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<v Speaker 1>the past, where you don't even need to have every

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<v Speaker 1>car in the road be autonomous, you just need enough

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<v Speaker 1>of them to to create this, uh, this traffic flow

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<v Speaker 1>that's much more efficient and you have fewer traffic jams

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<v Speaker 1>as a result, at least according to simulations being run.

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<v Speaker 1>We haven't rolled out enough of them to really test

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<v Speaker 1>it out yet. Sure, well, well on a on a

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<v Speaker 1>small level and kind of anecdot totally. You can see

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<v Speaker 1>this if you use Apple Maps or Google Maps or

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<v Speaker 1>something like that to tell you how to get to

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<v Speaker 1>a place, it will automatically reroot you around bad traffic

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<v Speaker 1>areas these days. So technology. Yeah, and they also in

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<v Speaker 1>addition to all of this theoretical knowledge, they have a

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<v Speaker 1>practical proven record so far. They are doing very well

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<v Speaker 1>in the field. Yeah. The only accidents that the Google

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<v Speaker 1>cars have been in so far the last time that

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<v Speaker 1>we checked at any rate, Yeah, and I want to

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<v Speaker 1>say they were it was up to seven or eleven total,

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<v Speaker 1>But at any rate, none of them were caused by

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<v Speaker 1>the the autonomous by the computer. They were caused by

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<v Speaker 1>humans around the computer, you know. In fact, there was

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<v Speaker 1>an instance I can't remember exactly what it was. It

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<v Speaker 1>was like a month ago or so where the media

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<v Speaker 1>got all excited because there was a report that supposedly

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<v Speaker 1>some autonomous cars had almost gotten into a wreck with

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<v Speaker 1>each other. It was the biggest non story I know.

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<v Speaker 1>I ended up reading into that and saying, there's nothing

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<v Speaker 1>here that like, nobody got hurt, there was not a collision. Yeah,

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<v Speaker 1>the person from Google actually said. The person from Google said,

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<v Speaker 1>the headline here is autonomous cars do exactly what they

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<v Speaker 1>were supposed to do, because that's how it read the way.

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<v Speaker 1>The way it was being reported, at least in some

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<v Speaker 1>media outlets. Some of them were really good about it.

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<v Speaker 1>Some of them were very responsible, but a few of

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<v Speaker 1>them said, you know, near miss with autonomous cars. And

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<v Speaker 1>the story almost came across as a Google car had

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<v Speaker 1>um had cut off a Delphi car and that no,

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<v Speaker 1>it was it, Yeah, it was Delph. I think. Um,

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<v Speaker 1>so a Google car had cut off a Delphi car

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<v Speaker 1>and the Delphi car was able to react to prevent

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<v Speaker 1>an accident from happening. And then the person at Delphi

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<v Speaker 1>I said, that's not what I said at all. What

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<v Speaker 1>I said was our autonomous car had made a plan

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<v Speaker 1>to do a lane change, but then the Google car

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<v Speaker 1>did a lane change first, which meant that the space

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<v Speaker 1>the Delphi car was supposed to go into was currently occupied.

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<v Speaker 1>So the Delphi car switched its strategy, which is exactly

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<v Speaker 1>what he when drivers do all the time, and we

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<v Speaker 1>don't often fail to do and then hit each other

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<v Speaker 1>where you're like, no, I want that lane and it

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<v Speaker 1>is mine, whether your car isn't it or not. But

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<v Speaker 1>that's the that was the deal was that it was

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<v Speaker 1>not a car cutting off another one. It was a

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<v Speaker 1>car making a lane change in another car changing at

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<v Speaker 1>the last section second it's mind to change lanes. Yeah.

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<v Speaker 1>So I don't want to sound like a you know,

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<v Speaker 1>schill for the autonomous car vendors out there, but it

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<v Speaker 1>seems to me their track record is pretty good. The

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<v Speaker 1>human driving track record is not good at all. Right,

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<v Speaker 1>It's it's demonstrably worse, right, I mean, we have plenty

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<v Speaker 1>of of records on that. The one big drawback to

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<v Speaker 1>autonomous cars is that they're going to be really really

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<v Speaker 1>expensive when they come out, assuming that you know, at

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<v Speaker 1>least at first at least at first, and and probably

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<v Speaker 1>significantly expensive for quite some time afterward, because while manufacturing

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<v Speaker 1>can really help bring down costs, like as you improve

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<v Speaker 1>those processes, the amount of technology being packed into these

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<v Speaker 1>cars is such that even with improvements to those manufacturing processes,

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<v Speaker 1>you're never going to get uh an autonomous car down

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<v Speaker 1>to the price of like a mid priced car. It's

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<v Speaker 1>always going to be on the high end, um possibly

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<v Speaker 1>on the very high end, at least for the foreseeable future.

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<v Speaker 1>But that's not necessarily a deal breaker as far as

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<v Speaker 1>autonomous cars helping us out. No, Because I want to

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<v Speaker 1>form a little analogy here. I remember people saying this.

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<v Speaker 1>In fact, they're still saying it today, but they used

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<v Speaker 1>to say it like in the nineties, was, Uh, we'll

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<v Speaker 1>never have electric vehicles because they just cost too much

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<v Speaker 1>and they will never cost less. We will surely never

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<v Speaker 1>improve upon this technology. Right. And it's true that there

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<v Speaker 1>haven't been a whole lot of personal electric vehicles rolled out,

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<v Speaker 1>But one thing that I think we did get fairly

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<v Speaker 1>early on was certain areas, like some college campuses or

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<v Speaker 1>some downtown areas adopting electric buses and other forms of

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<v Speaker 1>electric public transportation. Right. And that's exactly why we want

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<v Speaker 1>to kind of segue into this discussion about the possibility

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<v Speaker 1>of using electric autonomous vehicles as a taxi fleet. In

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<v Speaker 1>other words, not looking at autonomous cars as something that you,

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<v Speaker 1>as a person go out and go to a car

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<v Speaker 1>dealership and purchase. And this is the vehicle you're going

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<v Speaker 1>to be using. But rather, what about a an environment

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<v Speaker 1>where there's a fleet of these autonomous cars and you

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<v Speaker 1>can hail one of these cars like a cab whenever

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<v Speaker 1>you need to get from point A to point B.

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<v Speaker 1>And so it's a it's a very different use case.

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<v Speaker 1>And when it comes to that use case, the story

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<v Speaker 1>is incredibly different. It is much different than from the

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<v Speaker 1>the huge barrier of entry of the cost for an

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<v Speaker 1>individual person, right, right, So so let's talk about some

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<v Speaker 1>solid numbers. Let's talk about New York City, which has

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<v Speaker 1>really had a lot of taxi cabs um and is

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<v Speaker 1>also where Frank is from. Yes, so New York City

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<v Speaker 1>is great example for multiple reasons. One the enormous fleet

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<v Speaker 1>of cabs that are there too, it's a very dense

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<v Speaker 1>urban environment, it's got a large population we mentioned in

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<v Speaker 1>our Mega Cities episode there there. It's a great candidate

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<v Speaker 1>to use as an example. So the data that I'm

0:12:23.160 --> 0:12:26.320
<v Speaker 1>going to be spouting off is from lots of different

0:12:26.360 --> 0:12:30.360
<v Speaker 1>sources over several different years. So keep in mind that

0:12:30.440 --> 0:12:34.000
<v Speaker 1>the numbers aren't all uh they don't all come from

0:12:34.120 --> 0:12:37.520
<v Speaker 1>one source, right, So, uh so there's gonna be some

0:12:37.720 --> 0:12:41.920
<v Speaker 1>your mileage may vary in this case. According to the

0:12:42.000 --> 0:12:47.000
<v Speaker 1>twenty ten census, uh less than half of the three

0:12:47.040 --> 0:12:51.040
<v Speaker 1>million households in New York City own a car. So

0:12:51.080 --> 0:12:53.600
<v Speaker 1>a fewer than half of the popular of the households,

0:12:53.640 --> 0:12:55.840
<v Speaker 1>not population, but the households in New York City own

0:12:55.880 --> 0:12:59.480
<v Speaker 1>a car. Um that's one point four million households on

0:12:59.640 --> 0:13:02.920
<v Speaker 1>a car coin to the twenty census. And the lowest

0:13:03.000 --> 0:13:07.240
<v Speaker 1>ownership rate is in Manhattan, where it's around twenty three

0:13:07.720 --> 0:13:11.080
<v Speaker 1>of households owning a car. But doesn't every household have

0:13:11.160 --> 0:13:14.319
<v Speaker 1>their own subway station. Yes, that's how New York works.

0:13:14.559 --> 0:13:17.040
<v Speaker 1>Uh well, no, I mean the point I'm making is

0:13:17.080 --> 0:13:19.640
<v Speaker 1>that you can definitely chalk that up to them having

0:13:19.800 --> 0:13:22.640
<v Speaker 1>very good public transit. Yeah, that's definitely. Well, that's part

0:13:22.640 --> 0:13:25.360
<v Speaker 1>of it. But the taxi cabs are also the yellow cabs.

0:13:26.240 --> 0:13:31.000
<v Speaker 1>They are they are almost almost exclusively concentrated in Lower Manhattan.

0:13:31.600 --> 0:13:35.360
<v Speaker 1>Uh so the other ones. Brooklyn is at forty percent ownership,

0:13:35.400 --> 0:13:39.600
<v Speaker 1>Bronx is at Queens is in Staten Island is at

0:13:41.080 --> 0:13:43.200
<v Speaker 1>Now if you want to compare that to the national average,

0:13:43.240 --> 0:13:46.960
<v Speaker 1>the average across the entire United States. In the US

0:13:48.040 --> 0:13:50.640
<v Speaker 1>of households own at least one car, so in New

0:13:50.720 --> 0:13:54.640
<v Speaker 1>York City it is much lower than average. Um. New

0:13:54.720 --> 0:13:58.960
<v Speaker 1>York City is therefore this great example of how are

0:13:58.960 --> 0:14:02.200
<v Speaker 1>people getting around if they're not? If not everyone owns

0:14:02.200 --> 0:14:07.600
<v Speaker 1>a vehicle. Uh. And so besides the buses and subways,

0:14:08.080 --> 0:14:11.920
<v Speaker 1>cabs and livery cars and other vehicles that are driver

0:14:12.040 --> 0:14:16.320
<v Speaker 1>for higher services, that's the answer. Besides walking, that's also

0:14:16.360 --> 0:14:20.200
<v Speaker 1>a big one. But how many taxis are they running

0:14:20.200 --> 0:14:23.960
<v Speaker 1>around in New York? So the most recent number I've

0:14:23.960 --> 0:14:27.760
<v Speaker 1>seen is thirty seven. However, the most recent site I

0:14:27.800 --> 0:14:31.520
<v Speaker 1>could find was from an actual from an actual source

0:14:31.560 --> 0:14:33.760
<v Speaker 1>from within New York City was the two thousand fourteen

0:14:33.800 --> 0:14:39.400
<v Speaker 1>Taxi Cab fact Book, a jolly good read, uh, published

0:14:39.400 --> 0:14:42.600
<v Speaker 1>by New York's Taxi and Limousine Commission. And at that

0:14:42.680 --> 0:14:46.760
<v Speaker 1>time when they published the fact book, it was thot seven.

0:14:46.880 --> 0:14:50.360
<v Speaker 1>So somewhere in the thirteen thousand, five hundred range is

0:14:50.400 --> 0:14:52.880
<v Speaker 1>what we're talking about. And it's such an exact number

0:14:52.960 --> 0:14:56.400
<v Speaker 1>because New York and New York's Taxi and Limousine Commission

0:14:56.480 --> 0:15:00.400
<v Speaker 1>specifically dispensed these uh, these medallions which are kind of

0:15:00.440 --> 0:15:03.320
<v Speaker 1>like a license to be a cabby or our license

0:15:03.440 --> 0:15:06.600
<v Speaker 1>for your car to be used as a cab. Right,

0:15:06.640 --> 0:15:09.840
<v Speaker 1>you're authorized to act as a cab driver within the

0:15:10.640 --> 0:15:14.960
<v Speaker 1>New York City area. And a medallion is a small

0:15:15.000 --> 0:15:17.760
<v Speaker 1>metal plate that actually attaches to the hood of a taxi.

0:15:17.880 --> 0:15:22.000
<v Speaker 1>That's what designates that car as being authorized and is

0:15:22.480 --> 0:15:25.680
<v Speaker 1>it is legally allowed to act as a cab. Because

0:15:25.920 --> 0:15:29.080
<v Speaker 1>we also have probably all have heard the stories of

0:15:29.240 --> 0:15:32.200
<v Speaker 1>people landing in New York and some yahoo with a

0:15:32.240 --> 0:15:36.480
<v Speaker 1>car just happens to be yellow driving on up and yeah, yeah,

0:15:36.520 --> 0:15:39.040
<v Speaker 1>they're they're they're what make sure you don't get kidnapped

0:15:39.080 --> 0:15:42.880
<v Speaker 1>by crazy person, right or or just fleeced like it

0:15:42.960 --> 0:15:44.480
<v Speaker 1>may be that you know, you get picked up by

0:15:44.520 --> 0:15:48.280
<v Speaker 1>somebody who's charging you ridiculous rates that I have nothing

0:15:48.320 --> 0:15:52.160
<v Speaker 1>to do with the um the actual authorized rates. Yeah,

0:15:52.200 --> 0:15:55.040
<v Speaker 1>because I thought you meant the Central Park in New Hampshire.

0:15:57.080 --> 0:15:58.960
<v Speaker 1>What I thought you wanted the scenic route. We're gonna

0:15:59.040 --> 0:16:03.280
<v Speaker 1>visit all the borough until we get to Manhattan. Uh. Yeah.

0:16:03.360 --> 0:16:06.600
<v Speaker 1>So the medallions are these plates that are on the cars.

0:16:06.640 --> 0:16:09.280
<v Speaker 1>That's how you recognize that it's a cab technically, that

0:16:09.320 --> 0:16:12.760
<v Speaker 1>you've got the yellow cabs in Lower Manhattan that's mainly

0:16:12.760 --> 0:16:14.600
<v Speaker 1>where you're going to find them. Um, there are actually

0:16:14.640 --> 0:16:17.280
<v Speaker 1>two different types of medallions. There's independent medallions and many

0:16:17.320 --> 0:16:20.320
<v Speaker 1>fleet medallions. But both of those mean that the driver

0:16:20.440 --> 0:16:23.040
<v Speaker 1>of that car is authorized to operate a cab. So

0:16:23.960 --> 0:16:28.240
<v Speaker 1>here's an interesting number. Yellow taxis provide an average of

0:16:28.240 --> 0:16:35.040
<v Speaker 1>four eight five thousand trips per day collectively, not per taxi. No, yeah,

0:16:35.080 --> 0:16:38.360
<v Speaker 1>it's all of them together, hundred seventy five million a year.

0:16:38.520 --> 0:16:41.760
<v Speaker 1>By the way, that's a lot of trips. Now, they're

0:16:41.800 --> 0:16:45.480
<v Speaker 1>also borrowed taxis, and I apologize if you guys in

0:16:45.520 --> 0:16:48.200
<v Speaker 1>New York pronounce it totally different. But it's b O

0:16:48.520 --> 0:16:52.200
<v Speaker 1>r O and it's a it's for the Burrows. I

0:16:52.200 --> 0:16:54.680
<v Speaker 1>would imagine brow you would think so, But it's b

0:16:54.840 --> 0:16:57.720
<v Speaker 1>O r oh, and I'm calling it borrow. It's borrow taxis.

0:16:58.280 --> 0:17:01.080
<v Speaker 1>You do what you want, Jonathan. At least twelve thousand

0:17:01.160 --> 0:17:09.080
<v Speaker 1>of their abbreviated boraxes, So if you get on a borax, uh, slippery. No,

0:17:10.000 --> 0:17:12.239
<v Speaker 1>the boro taxis there at least twelve thousand of them

0:17:12.240 --> 0:17:16.000
<v Speaker 1>as and they are green in color, they're not yellow.

0:17:16.560 --> 0:17:19.000
<v Speaker 1>They serve areas of New York not commonly covered by

0:17:19.080 --> 0:17:21.720
<v Speaker 1>yellow taxi service or really anything out of Lower Manhattan

0:17:22.240 --> 0:17:25.480
<v Speaker 1>UH and total, we're looking at around twenty five thousand

0:17:25.560 --> 0:17:28.320
<v Speaker 1>taxis of some sort, yellow or greens serving the streets

0:17:28.320 --> 0:17:30.280
<v Speaker 1>in New York City. Then you've got another twenty five

0:17:30.359 --> 0:17:34.159
<v Speaker 1>thousand falling under the category of liveries UH and you

0:17:34.200 --> 0:17:36.919
<v Speaker 1>cannot street hail one of those, So you can't be

0:17:37.000 --> 0:17:39.679
<v Speaker 1>on the corner and see a livery car and flag

0:17:39.680 --> 0:17:42.320
<v Speaker 1>it down. They're not allowed to stop. You can. You

0:17:42.400 --> 0:17:44.960
<v Speaker 1>must prearrange your trips with these services, so are a

0:17:45.040 --> 0:17:48.720
<v Speaker 1>little different from the taxis. Also, until recently, there was

0:17:48.960 --> 0:17:52.040
<v Speaker 1>no way to get a yellow cab without just flagging

0:17:52.080 --> 0:17:55.639
<v Speaker 1>it down. You couldn't pre arrange them. You had to

0:17:55.640 --> 0:17:58.640
<v Speaker 1>flag it down, and you flag it down these days

0:17:58.680 --> 0:18:01.720
<v Speaker 1>either the old fashioned way where you're waving at a

0:18:01.760 --> 0:18:04.600
<v Speaker 1>cab driver, or they're also apps now where you can

0:18:04.840 --> 0:18:07.840
<v Speaker 1>use that to UH to flag a cab, but it's

0:18:07.960 --> 0:18:12.040
<v Speaker 1>essentially the same thing. Then you've got the black car Services,

0:18:12.080 --> 0:18:15.520
<v Speaker 1>which has about another ten thousand vehicles, so you're looking

0:18:15.560 --> 0:18:20.240
<v Speaker 1>at what sixty thousand of these cars driving people around

0:18:20.240 --> 0:18:23.919
<v Speaker 1>New York City. Now, on top of that, those are

0:18:23.960 --> 0:18:25.800
<v Speaker 1>all the those are the ones that are overseen by

0:18:25.840 --> 0:18:29.080
<v Speaker 1>the Taxi and Limousine Commission, Yeah, what about Uber? So

0:18:29.240 --> 0:18:33.280
<v Speaker 1>Uber Uber and Lift and all those other similar digital

0:18:33.320 --> 0:18:38.080
<v Speaker 1>services we've popped up recently. Uber in particular has raised

0:18:38.359 --> 0:18:42.760
<v Speaker 1>some some some hell or in New York City, people

0:18:42.800 --> 0:18:46.240
<v Speaker 1>would say, because they've they come in and the Taxi

0:18:46.280 --> 0:18:50.359
<v Speaker 1>and Limousine Commission not really super happy about this other

0:18:50.440 --> 0:18:53.800
<v Speaker 1>group coming in that has nothing like they don't answer

0:18:54.040 --> 0:18:57.240
<v Speaker 1>to the commission at all. They set their own rates.

0:18:57.760 --> 0:19:01.280
<v Speaker 1>They you know, it's it's very different approach. And the

0:19:01.359 --> 0:19:04.800
<v Speaker 1>perception is that Uber is taking a lot of business

0:19:04.920 --> 0:19:08.239
<v Speaker 1>away from the registered drivers who also have to go

0:19:08.280 --> 0:19:12.000
<v Speaker 1>through like the a lot more regulation than Uber does.

0:19:12.119 --> 0:19:14.159
<v Speaker 1>So there there's some real concerns saying, hey, it's not

0:19:14.200 --> 0:19:16.360
<v Speaker 1>really fair. This other business is coming in and they're

0:19:16.400 --> 0:19:19.760
<v Speaker 1>not subject to the same restrictions that we are, So

0:19:19.880 --> 0:19:22.560
<v Speaker 1>why are we Why are we allowing them to steal business?

0:19:22.600 --> 0:19:25.960
<v Speaker 1>That's kind of the narrative. However, there's some things you

0:19:26.000 --> 0:19:28.200
<v Speaker 1>gotta keep in mind. First of all, there are more

0:19:28.359 --> 0:19:31.200
<v Speaker 1>Uber cars in the streets of New York City, then

0:19:31.240 --> 0:19:34.719
<v Speaker 1>there are yellow taxi cabs. Well, there are more Uber drivers.

0:19:34.840 --> 0:19:37.200
<v Speaker 1>That's really well, that's the fair thing to say. How

0:19:37.480 --> 0:19:43.160
<v Speaker 1>many are in operation at any given time. Isilar lower? Yeah? Yeah,

0:19:43.359 --> 0:19:47.520
<v Speaker 1>So Uber drivers number around nineteen thousand in New York

0:19:47.520 --> 0:19:52.760
<v Speaker 1>City across seven bases. Uh. Depending upon where you read this,

0:19:52.760 --> 0:19:56.400
<v Speaker 1>this the statistic, because I've also seen it as low

0:19:56.440 --> 0:19:58.600
<v Speaker 1>as around fourteen thousand, four hundred and as high as

0:19:58.680 --> 0:20:01.680
<v Speaker 1>nineteen thousand. But that means that there are more Uber

0:20:01.760 --> 0:20:03.719
<v Speaker 1>drivers either way. Even on the low number, there are

0:20:03.720 --> 0:20:07.080
<v Speaker 1>more Uber drivers than there are yellow taxi medallions in

0:20:07.119 --> 0:20:10.280
<v Speaker 1>New York City. However, that does not mean that Uber

0:20:10.320 --> 0:20:12.679
<v Speaker 1>has taken out a huge chunk of that taxi business.

0:20:12.680 --> 0:20:16.560
<v Speaker 1>So remember I said four eight thousand trips per day

0:20:17.480 --> 0:20:20.720
<v Speaker 1>for the taxi cabs. For Uber, it's closer to thirty

0:20:20.800 --> 0:20:23.160
<v Speaker 1>four thousand, thirty four thousand, two hundred seventy one trips

0:20:23.200 --> 0:20:27.479
<v Speaker 1>per day. So a fraction, oh yeah, tiny tiny amount

0:20:27.520 --> 0:20:30.000
<v Speaker 1>compared that was That number comes from a report in

0:20:30.040 --> 0:20:33.880
<v Speaker 1>September two fourteen. We should really do a whole episode

0:20:33.880 --> 0:20:37.000
<v Speaker 1>on these these types of services, because the legal tangles

0:20:37.000 --> 0:20:41.040
<v Speaker 1>in the surrounding, like socio technological issues are are really

0:20:41.359 --> 0:20:44.600
<v Speaker 1>interesting um and the numbers are more serious than other cities.

0:20:44.880 --> 0:20:47.520
<v Speaker 1>Portland is in the middle of a four month taxi

0:20:47.640 --> 0:20:52.600
<v Speaker 1>deregulation experiment and according to their intern report, Uber and

0:20:52.720 --> 0:20:55.719
<v Speaker 1>Lift and and et cetera have handled forty three per

0:20:55.800 --> 0:21:00.560
<v Speaker 1>cent of taxi calls in May. Yeah, so very different

0:21:00.560 --> 0:21:03.520
<v Speaker 1>story depending upon where you are. Sure well, and that's

0:21:03.560 --> 0:21:06.440
<v Speaker 1>also partially I'm sure due to the de regulation that's

0:21:06.440 --> 0:21:09.159
<v Speaker 1>going on in that area right now. But you know what,

0:21:09.240 --> 0:21:12.240
<v Speaker 1>we'll see what happens at the end of that experiment

0:21:12.280 --> 0:21:15.200
<v Speaker 1>period and do lots more research and come back to

0:21:15.240 --> 0:21:19.080
<v Speaker 1>guys with another episode if if it warrant that. Yeah, yeah,

0:21:19.119 --> 0:21:22.119
<v Speaker 1>because it's it's definitely, I mean, the story of of

0:21:22.280 --> 0:21:26.400
<v Speaker 1>Uber in general is pretty amazing. This was an idea

0:21:26.640 --> 0:21:34.040
<v Speaker 1>that uh ended up being a multibillion dollar idea. It's phenomenal. Yeah.

0:21:34.280 --> 0:21:37.520
<v Speaker 1>So at any rate, we've got what's this like, seventy

0:21:37.640 --> 0:21:44.119
<v Speaker 1>to nine thousand cars cars that are in services in

0:21:44.160 --> 0:21:46.320
<v Speaker 1>New York City, not necessarily all at the same time,

0:21:46.320 --> 0:21:49.760
<v Speaker 1>but yes, yeah, ninety thousand cars in New York City

0:21:51.080 --> 0:21:53.080
<v Speaker 1>providing services for people to get from point A to

0:21:53.119 --> 0:21:57.359
<v Speaker 1>point b. Uh. So what if we did something really

0:21:57.440 --> 0:22:01.159
<v Speaker 1>crazy and we ended up take all of those cars

0:22:01.200 --> 0:22:05.520
<v Speaker 1>off the streets, fired all the drivers, and replace them

0:22:05.520 --> 0:22:10.480
<v Speaker 1>all with robo taxis Well, that is certainly not great

0:22:10.520 --> 0:22:13.960
<v Speaker 1>if you are a taxi or uber driver. Nope, but

0:22:14.080 --> 0:22:17.840
<v Speaker 1>it's it's also something that you absolutely should plan for

0:22:17.920 --> 0:22:21.840
<v Speaker 1>if you happen to be a taxi or uber driver, because, uh,

0:22:21.920 --> 0:22:25.480
<v Speaker 1>sooner or later this will happen. Whether whether it will happen,

0:22:26.320 --> 0:22:29.680
<v Speaker 1>you know, within the next five to ten years, largely

0:22:29.720 --> 0:22:32.160
<v Speaker 1>depends not so much on the technology as it does

0:22:32.200 --> 0:22:35.960
<v Speaker 1>on the legislation. That's really where it's going to to

0:22:36.040 --> 0:22:38.919
<v Speaker 1>be the battle ground, I think, But it will happen. Uh,

0:22:39.040 --> 0:22:41.800
<v Speaker 1>and don't just believe us. There was a study that

0:22:41.840 --> 0:22:44.720
<v Speaker 1>recently came out that says pretty much the same thing. Yeah.

0:22:44.760 --> 0:22:48.800
<v Speaker 1>The Earth Institute at Columbia University was one of these studies.

0:22:48.800 --> 0:22:51.680
<v Speaker 1>Are actually quite a few that are really interesting. This

0:22:51.720 --> 0:22:54.760
<v Speaker 1>one is available in full on the net. If you

0:22:54.800 --> 0:22:56.880
<v Speaker 1>want to go and read it, you you can find

0:22:56.920 --> 0:23:00.000
<v Speaker 1>the Earth Institute's Columbia University study was released in two

0:23:00.000 --> 0:23:03.200
<v Speaker 1>thousand their team, and it was looking for sustainable solutions

0:23:03.200 --> 0:23:07.199
<v Speaker 1>for personal mobility. In other words, what is the what

0:23:07.359 --> 0:23:09.640
<v Speaker 1>is the car of the future going to look like?

0:23:09.840 --> 0:23:12.200
<v Speaker 1>And is it going to be a privately owned vehicle

0:23:12.320 --> 0:23:14.840
<v Speaker 1>or will we have shifted to some other means of

0:23:14.880 --> 0:23:18.560
<v Speaker 1>mobility in the future, and they were actually looking at

0:23:18.640 --> 0:23:24.199
<v Speaker 1>what are the most economical and energy efficient methods of

0:23:24.240 --> 0:23:28.120
<v Speaker 1>getting around, especially if you are in an urban environment,

0:23:28.440 --> 0:23:31.000
<v Speaker 1>because the further out from an urban environment you get,

0:23:31.400 --> 0:23:36.520
<v Speaker 1>the more a private personal vehicle makes sense. But if

0:23:36.560 --> 0:23:39.159
<v Speaker 1>you are within an urban environment and your travel is

0:23:39.200 --> 0:23:43.200
<v Speaker 1>restricted to you know, a certain few thousand miles a year,

0:23:44.160 --> 0:23:46.280
<v Speaker 1>like six thousand miles a year because of the way

0:23:46.640 --> 0:23:50.399
<v Speaker 1>you work and live in that space, owning a personal

0:23:50.480 --> 0:23:53.320
<v Speaker 1>vehicle may not make sense. And so they looked at

0:23:53.400 --> 0:23:57.480
<v Speaker 1>several different factors. One was they were looking at the

0:23:57.480 --> 0:24:00.240
<v Speaker 1>way of using the internet to coordinate between a fleet

0:24:00.240 --> 0:24:02.359
<v Speaker 1>of cars and the people who need transportation. So like

0:24:02.440 --> 0:24:05.199
<v Speaker 1>the smartphone apps for Uber and Left and also for

0:24:05.280 --> 0:24:08.920
<v Speaker 1>some cab companies, so it takes advantage of like GPS data,

0:24:08.960 --> 0:24:13.439
<v Speaker 1>It takes advantage of the this intern interconnection where you

0:24:13.480 --> 0:24:17.159
<v Speaker 1>also have a system that can keep track of what

0:24:17.280 --> 0:24:19.399
<v Speaker 1>all the different cars are doing at any given time,

0:24:19.920 --> 0:24:23.360
<v Speaker 1>so it can route the most efficient vehicle to get

0:24:23.400 --> 0:24:27.000
<v Speaker 1>to the destination. Uh that destination being the person who's

0:24:27.080 --> 0:24:29.639
<v Speaker 1>hailing a car. And if you you have an app

0:24:29.720 --> 0:24:33.800
<v Speaker 1>for something like Uber, it probably already does something like this. Yeah, yeah,

0:24:33.880 --> 0:24:35.640
<v Speaker 1>it's it's very much like that. If you ever pull

0:24:35.720 --> 0:24:38.200
<v Speaker 1>up the Uber app and you just use it without

0:24:38.280 --> 0:24:40.440
<v Speaker 1>like you're not calling a car yet, you can actually

0:24:40.480 --> 0:24:42.679
<v Speaker 1>see all the cars that are in your area that

0:24:42.720 --> 0:24:46.360
<v Speaker 1>are driving around in different places. And then when you

0:24:46.000 --> 0:24:52.520
<v Speaker 1>you cannot control, please make pac Man. Google Maps did

0:24:52.960 --> 0:24:56.520
<v Speaker 1>for April, they turned They turn Google, But we're talking

0:24:56.520 --> 0:25:00.399
<v Speaker 1>about pac Man with the ghosts being real cars. Go

0:25:00.480 --> 0:25:02.439
<v Speaker 1>watch Pixel and come back to me and tell me

0:25:02.480 --> 0:25:07.119
<v Speaker 1>what a great idea that was. Okay, So the next

0:25:07.200 --> 0:25:09.960
<v Speaker 1>thing they looked at were autonomous vehicles. That's also part

0:25:10.000 --> 0:25:13.840
<v Speaker 1>of the what they were considering for the cars or

0:25:13.880 --> 0:25:17.000
<v Speaker 1>the personal transportation of the future shared vehicles. So this

0:25:17.040 --> 0:25:20.440
<v Speaker 1>would be the you know, abandoning the idea of owning

0:25:20.480 --> 0:25:22.920
<v Speaker 1>your own vehicle and doing something more along the lines

0:25:22.960 --> 0:25:28.400
<v Speaker 1>of taking cabs or Uber or these robotic cars. Uh.

0:25:28.440 --> 0:25:30.800
<v Speaker 1>And you wouldn't known the robotic car. You would just

0:25:31.119 --> 0:25:33.080
<v Speaker 1>you know, hire it for a ride and then you

0:25:33.080 --> 0:25:35.040
<v Speaker 1>would be done, and then you would do it again

0:25:35.080 --> 0:25:38.119
<v Speaker 1>whenever you need a ride the next time. How about

0:25:38.359 --> 0:25:42.080
<v Speaker 1>if the car didn't have to be the same size

0:25:42.240 --> 0:25:46.600
<v Speaker 1>for every trip? Huge, huge part of this, Yeah, because

0:25:47.240 --> 0:25:49.760
<v Speaker 1>let's say you're one person, you need a taxi ride

0:25:49.760 --> 0:25:52.560
<v Speaker 1>and there are three empty seats or two empty seats

0:25:52.600 --> 0:25:55.960
<v Speaker 1>that you're not occupying. Yeah, I've randomly, you know, had

0:25:56.119 --> 0:25:59.280
<v Speaker 1>nothing but minivans to choose from when I get often

0:25:59.320 --> 0:26:01.760
<v Speaker 1>an airport or something. Yeah. No, every time I go

0:26:01.840 --> 0:26:04.399
<v Speaker 1>to c e s. Whenever I'm in the line, the

0:26:04.440 --> 0:26:08.720
<v Speaker 1>taxi cab line, it almost always seems like I get

0:26:08.760 --> 0:26:12.280
<v Speaker 1>the mini van as my cab, and that's space going

0:26:12.320 --> 0:26:15.240
<v Speaker 1>to waste. There could be a group behind me that

0:26:15.320 --> 0:26:17.720
<v Speaker 1>could have really used that. But because the way the

0:26:17.760 --> 0:26:21.360
<v Speaker 1>system works where it's first come, first serve, it doesn't

0:26:21.400 --> 0:26:23.560
<v Speaker 1>you know, they're not they're not matching the size of

0:26:23.600 --> 0:26:27.480
<v Speaker 1>the vehicle with the needs of the writer. But if

0:26:27.520 --> 0:26:30.560
<v Speaker 1>you could do that, if you could write size, if

0:26:30.640 --> 0:26:33.640
<v Speaker 1>I'm one person for this trip, right, then you could

0:26:33.640 --> 0:26:36.600
<v Speaker 1>have a vehicle of the appropriate size, a small vehicle

0:26:36.720 --> 0:26:39.199
<v Speaker 1>come pick you up. Whereas a family a four that

0:26:39.200 --> 0:26:41.359
<v Speaker 1>are on vacation and have luggage, they could have a

0:26:41.440 --> 0:26:43.520
<v Speaker 1>larger vehicle pick them up. And of course that's not

0:26:43.640 --> 0:26:46.400
<v Speaker 1>just about space, that's about energy. If the car only

0:26:46.440 --> 0:26:49.880
<v Speaker 1>needs to fit one person, it will weigh less and

0:26:50.040 --> 0:26:53.080
<v Speaker 1>it needs less and less energy, and also it takes

0:26:53.160 --> 0:26:55.400
<v Speaker 1>up less space for storage, it takes up less space

0:26:55.440 --> 0:26:57.240
<v Speaker 1>for parking. There are a lot of reasons why you

0:26:57.240 --> 0:27:01.399
<v Speaker 1>would want to maximize the efficiency of the size of

0:27:01.440 --> 0:27:04.800
<v Speaker 1>the various cars in your taxi fleet, because it may

0:27:04.840 --> 0:27:06.520
<v Speaker 1>be that you're you know, especially if you look at

0:27:06.680 --> 0:27:09.200
<v Speaker 1>the statistics in New York City, most of the rides

0:27:09.240 --> 0:27:12.240
<v Speaker 1>tend to be one or two people. So if your

0:27:12.400 --> 0:27:15.320
<v Speaker 1>fleet is mostly of vehicles that can carry one or

0:27:15.359 --> 0:27:19.320
<v Speaker 1>two people, then you can, uh, you know, you you

0:27:19.359 --> 0:27:22.639
<v Speaker 1>can have a much smaller storage space for your fleet

0:27:22.680 --> 0:27:26.000
<v Speaker 1>of vehicles since only a small portion of them would

0:27:26.000 --> 0:27:28.480
<v Speaker 1>be larger, right for the for those times where there

0:27:28.520 --> 0:27:31.160
<v Speaker 1>are three or four more people who need to get

0:27:31.160 --> 0:27:33.159
<v Speaker 1>from point A to point B. Now I see another

0:27:33.240 --> 0:27:36.960
<v Speaker 1>thing that you said they take into considerations advanced propulsion.

0:27:37.000 --> 0:27:40.560
<v Speaker 1>Now we're talking about nuclear pulse propulsion. I wish, yeah,

0:27:40.600 --> 0:27:43.160
<v Speaker 1>in the in the actual study, they call it advanced

0:27:43.160 --> 0:27:49.960
<v Speaker 1>propulsion systems, and I thought plasma. What's going on? It's like, yeah,

0:27:50.040 --> 0:27:53.480
<v Speaker 1>sadly there's there's specifically talking about electric vehicles and whether

0:27:53.680 --> 0:27:57.359
<v Speaker 1>it's pure electric as in a battery powered vehicle or

0:27:57.640 --> 0:28:00.520
<v Speaker 1>fuel cell. They also mentioned fuel cell vehicles, which are

0:28:00.760 --> 0:28:03.200
<v Speaker 1>you know, they're also electric cars. It's just they're using

0:28:03.280 --> 0:28:06.560
<v Speaker 1>hydrogen as a fuel to create this chemical reaction that

0:28:06.600 --> 0:28:11.520
<v Speaker 1>generates electricity, and then the output is electricity, heat, and water. Uh,

0:28:11.800 --> 0:28:15.840
<v Speaker 1>whether it's fuel cell or electric battery there. That's really

0:28:15.880 --> 0:28:18.600
<v Speaker 1>what they were looking at for advanced propulsion. So they

0:28:18.600 --> 0:28:22.320
<v Speaker 1>wanted to see what could we do if we really

0:28:22.359 --> 0:28:26.120
<v Speaker 1>concentrate on these five things and combine them in some way.

0:28:26.200 --> 0:28:31.720
<v Speaker 1>The ideal future personal transportation system would be a combination

0:28:31.760 --> 0:28:34.080
<v Speaker 1>of all five of these things in one form factor.

0:28:34.320 --> 0:28:38.200
<v Speaker 1>So they're creating like their fantasy football team version of

0:28:38.240 --> 0:28:41.240
<v Speaker 1>the New York transportation system. Yeah. Yeah, And they said

0:28:41.280 --> 0:28:44.320
<v Speaker 1>that if you combine all of these you could save

0:28:44.520 --> 0:28:47.840
<v Speaker 1>a huge amount of time, money, energy, I mean pretty

0:28:47.920 --> 0:28:52.080
<v Speaker 1>much across the board. You would be making a better

0:28:52.160 --> 0:28:57.080
<v Speaker 1>choice for getting people around an urban environment. That seems intuitive,

0:28:57.080 --> 0:28:59.840
<v Speaker 1>but I guess the question is how much better? Okay,

0:28:59.880 --> 0:29:03.480
<v Speaker 1>so we talked about that seventy nine thousand cars around

0:29:03.520 --> 0:29:06.800
<v Speaker 1>New York City. Uh, specifically they were looking at the

0:29:06.840 --> 0:29:09.720
<v Speaker 1>yellow taxi cabs, which, let's be fair, let's eliminate everything

0:29:09.760 --> 0:29:12.000
<v Speaker 1>else but the yellow taxi cabs. So that's back to

0:29:12.040 --> 0:29:15.880
<v Speaker 1>the thirteen thousand, four hundred or so. This study said

0:29:15.920 --> 0:29:18.280
<v Speaker 1>that you could replace all of those yellow taxi cabs

0:29:18.280 --> 0:29:23.360
<v Speaker 1>with nine thousand electric autonomous vehicles. So you have already

0:29:23.360 --> 0:29:25.120
<v Speaker 1>wiped out a ton of those. Now. The other thing

0:29:25.120 --> 0:29:27.040
<v Speaker 1>to keep in mind is that those yellow taxi cabs,

0:29:27.080 --> 0:29:30.040
<v Speaker 1>while they represent only a fraction of the overall driver

0:29:30.680 --> 0:29:33.480
<v Speaker 1>service cars out in New York City, they have the

0:29:33.680 --> 0:29:38.520
<v Speaker 1>vast majority of the fairs. They are by far providing

0:29:38.560 --> 0:29:41.720
<v Speaker 1>the most trips out of all the different cab services

0:29:41.720 --> 0:29:45.080
<v Speaker 1>and liveries in New York City. So you could just

0:29:45.120 --> 0:29:47.840
<v Speaker 1>boost that nine thousand number up a little bit and

0:29:47.880 --> 0:29:51.000
<v Speaker 1>presumably you would have enough to cover all of those

0:29:51.080 --> 0:29:55.239
<v Speaker 1>drivers services in New York, which is pretty phenomenal. And

0:29:55.280 --> 0:29:57.800
<v Speaker 1>the way you do it is through being incredibly efficient

0:29:57.800 --> 0:30:02.440
<v Speaker 1>and having next to no downtime. So and if you're

0:30:02.480 --> 0:30:05.480
<v Speaker 1>a driver of a cab, a yellow cab, and the

0:30:05.560 --> 0:30:08.040
<v Speaker 1>only way you get fares is when you see someone

0:30:08.080 --> 0:30:10.840
<v Speaker 1>flag you down or you have to drive around with

0:30:10.880 --> 0:30:13.840
<v Speaker 1>an empty cab, yeah, tons of downtime where you don't

0:30:13.880 --> 0:30:17.840
<v Speaker 1>have someone or at least enough downtime so that it

0:30:17.960 --> 0:30:21.160
<v Speaker 1>is a problem, it's wasted potential. But when you have

0:30:21.360 --> 0:30:24.840
<v Speaker 1>this master system that is scheduling things out and keeping

0:30:24.840 --> 0:30:28.720
<v Speaker 1>things as efficient as possible. There's very little downtime involved.

0:30:28.720 --> 0:30:30.600
<v Speaker 1>As soon as a car is dropping off, it's on

0:30:30.640 --> 0:30:34.080
<v Speaker 1>its way to go pick someone else up, and uh,

0:30:34.120 --> 0:30:36.760
<v Speaker 1>it's you know, I'm really curious to be able to

0:30:36.840 --> 0:30:40.800
<v Speaker 1>dive deeper into their research because some of it sounds

0:30:40.840 --> 0:30:45.200
<v Speaker 1>almost magical. They were talking about nine thousand cars doing this,

0:30:45.960 --> 0:30:49.040
<v Speaker 1>and your weight time would be less than a minute

0:30:49.120 --> 0:30:52.080
<v Speaker 1>from when you hailed the cab. So you open up

0:30:52.120 --> 0:30:55.080
<v Speaker 1>your smartphone, you say I need a ride. Less than

0:30:55.120 --> 0:30:58.720
<v Speaker 1>a minute later and autonomous electric vehicle pulls up and

0:30:58.720 --> 0:31:01.720
<v Speaker 1>you get in. Now, if you're talking about your average

0:31:01.800 --> 0:31:05.160
<v Speaker 1>yellow taxi cab weight time, if you are actively looking

0:31:05.280 --> 0:31:07.840
<v Speaker 1>for a cab and trying to flag one down, the

0:31:07.920 --> 0:31:10.720
<v Speaker 1>average weight time is closer to five minutes, So you've

0:31:10.760 --> 0:31:14.640
<v Speaker 1>already saved time just with that. And you're using fewer cars,

0:31:14.640 --> 0:31:16.640
<v Speaker 1>so there are fewer cars on the streets of New

0:31:16.720 --> 0:31:20.680
<v Speaker 1>York City as well. That also means that there's less traffic,

0:31:20.840 --> 0:31:25.000
<v Speaker 1>so you've also sped up the amount of time is

0:31:25.040 --> 0:31:27.880
<v Speaker 1>anyone on the road to get anywhere exactly. Yeah, So

0:31:28.760 --> 0:31:31.560
<v Speaker 1>there those are huge benefits there so yeah, a slightly

0:31:31.600 --> 0:31:34.040
<v Speaker 1>larger fleet would probably do that for all those So

0:31:34.080 --> 0:31:38.080
<v Speaker 1>the imagine that you now can remove seventy thousand cars

0:31:38.080 --> 0:31:41.120
<v Speaker 1>from the New York City area and those are replaced

0:31:41.120 --> 0:31:44.120
<v Speaker 1>by let's be I'm gonna double it, just for the

0:31:44.120 --> 0:31:47.560
<v Speaker 1>heck of it, eighteen thousand electric vehicles, less than twenty

0:31:47.600 --> 0:31:52.280
<v Speaker 1>thousand vehicles can replace seventy thousand that exists right now.

0:31:52.640 --> 0:31:55.920
<v Speaker 1>And that's again just the driver's services. You could also

0:31:56.200 --> 0:31:59.479
<v Speaker 1>eventually see people say, well, I don't need a personal

0:31:59.560 --> 0:32:01.320
<v Speaker 1>vehicle now I can get to where I need to

0:32:01.360 --> 0:32:04.240
<v Speaker 1>go by taking one of these cars. So you get

0:32:04.320 --> 0:32:06.200
<v Speaker 1>rid of the personal vehicles. Because when you think about it,

0:32:06.240 --> 0:32:11.040
<v Speaker 1>personal vehicles, of the time they're parked, you're not using them.

0:32:11.080 --> 0:32:15.600
<v Speaker 1>And in New York City you're paying for that. Most

0:32:15.600 --> 0:32:18.000
<v Speaker 1>people are paying more for a parking space than you

0:32:18.040 --> 0:32:20.880
<v Speaker 1>would find for an average house. Here in Atlanta, it's

0:32:20.960 --> 0:32:24.719
<v Speaker 1>kind of crazy. Um, it might be a slight exaggeration,

0:32:24.760 --> 0:32:28.280
<v Speaker 1>but not by a whole lot. So also, because we're

0:32:28.280 --> 0:32:31.880
<v Speaker 1>talking about electric vehicles and not gasoline powered vehicles, there

0:32:32.080 --> 0:32:36.920
<v Speaker 1>is the environmental factor to consider. According to another study

0:32:36.960 --> 0:32:40.400
<v Speaker 1>done by the Lawrence Berkeley National Laboratory, the per mile

0:32:40.440 --> 0:32:43.320
<v Speaker 1>greenhouse gas emissions of an autonomous electric vehicle would be

0:32:44.160 --> 0:32:47.640
<v Speaker 1>lower than that of a two thousand, fourteen gasoline powered vehicle.

0:32:48.920 --> 0:32:52.080
<v Speaker 1>That was even taking into consideration how the electricity is

0:32:52.120 --> 0:32:56.920
<v Speaker 1>being produced simply by the reduction in the amount of

0:32:56.960 --> 0:33:00.120
<v Speaker 1>travel and the right sizing that being a huge part it,

0:33:00.200 --> 0:33:03.440
<v Speaker 1>because if you're right sizing, meaning that you're sending out

0:33:03.520 --> 0:33:07.520
<v Speaker 1>only the vehicle necessary to carry the passenger and there

0:33:07.600 --> 0:33:10.600
<v Speaker 1>you know, to meet the passengers needs, then you're not

0:33:11.200 --> 0:33:14.640
<v Speaker 1>using the same bulk vehicle that's going to be drawing

0:33:14.680 --> 0:33:17.320
<v Speaker 1>the same amount of electricity as every other bulk vehicle

0:33:17.320 --> 0:33:18.920
<v Speaker 1>out there. You're gonna be using a lot of smaller

0:33:18.920 --> 0:33:21.280
<v Speaker 1>ones that are just gonna be sipping at electricity instead

0:33:21.280 --> 0:33:24.280
<v Speaker 1>of gulping at it. Sure, and here's the part where

0:33:24.360 --> 0:33:27.160
<v Speaker 1>we do have to say, as always that the way

0:33:27.160 --> 0:33:30.000
<v Speaker 1>that you generate that electricity through the grid matters. It

0:33:30.080 --> 0:33:33.440
<v Speaker 1>does matter. Like in California, this would make way more

0:33:33.480 --> 0:33:35.800
<v Speaker 1>sinse than New York. And the reason I say that

0:33:35.920 --> 0:33:39.840
<v Speaker 1>is that California has a lot more green power plant

0:33:39.880 --> 0:33:43.440
<v Speaker 1>technology incorporated in it than New York does. So in

0:33:43.440 --> 0:33:46.440
<v Speaker 1>New York City, most of the power plants, in fact

0:33:46.480 --> 0:33:48.520
<v Speaker 1>I think all the power plants in New York City

0:33:48.560 --> 0:33:51.400
<v Speaker 1>are gas fired power plants. That means they're using natural gas,

0:33:51.400 --> 0:33:53.960
<v Speaker 1>and some are using a combination of natural gas and coal.

0:33:54.480 --> 0:33:57.520
<v Speaker 1>So you are using fossil fuels to generate electricity. So

0:33:57.600 --> 0:34:01.960
<v Speaker 1>while the cars themselves are lean, the electricity may not be,

0:34:02.280 --> 0:34:04.720
<v Speaker 1>and in the case of New York it isn't. So

0:34:04.920 --> 0:34:08.279
<v Speaker 1>that is something to consider that. Yes, the individual cars

0:34:08.560 --> 0:34:12.040
<v Speaker 1>are not going to be generating greenhouse gases, but the

0:34:12.120 --> 0:34:15.840
<v Speaker 1>system that provides the energy that lets the cars move does,

0:34:16.560 --> 0:34:19.759
<v Speaker 1>So there's a larger picture that you have to look at.

0:34:19.840 --> 0:34:24.160
<v Speaker 1>In that case, According to the Lawrence Berkeley National Laboratory,

0:34:24.320 --> 0:34:27.359
<v Speaker 1>it still makes sense. They go into a great deal

0:34:27.360 --> 0:34:29.640
<v Speaker 1>of detail, and part of it is that they assert

0:34:30.000 --> 0:34:33.440
<v Speaker 1>that more and more regions are looking into greener means

0:34:33.440 --> 0:34:36.480
<v Speaker 1>of producing electricity, so part of it, part of it

0:34:36.560 --> 0:34:39.360
<v Speaker 1>is rest on the assertion that things are going to change,

0:34:39.400 --> 0:34:43.719
<v Speaker 1>which might be a little let's let's be fair, let's

0:34:43.719 --> 0:34:46.920
<v Speaker 1>say it's optimistic. Well, well, I mean the commercial urge

0:34:46.960 --> 0:34:50.120
<v Speaker 1>of having, you know, hypothetically a bunch of electric vehicles

0:34:50.120 --> 0:34:52.800
<v Speaker 1>on the road that all need to be charged would

0:34:53.400 --> 0:34:56.480
<v Speaker 1>give people more of an incentive to start creating these

0:34:56.520 --> 0:35:00.520
<v Speaker 1>these greener ways of power. Yeah, and they're tons of

0:35:00.560 --> 0:35:02.960
<v Speaker 1>incentives to do it. And that's just one of them obviously,

0:35:03.000 --> 0:35:05.280
<v Speaker 1>I mean, just just wanting to clean up the environment

0:35:05.320 --> 0:35:10.280
<v Speaker 1>being another one. Wanting to screw the penguins or too cute,

0:35:10.560 --> 0:35:13.320
<v Speaker 1>or or for for ones that are petroleum based, wanting

0:35:13.360 --> 0:35:16.880
<v Speaker 1>to to uh free yourself from the burdens of having

0:35:16.920 --> 0:35:19.680
<v Speaker 1>to import some of your petroleum and thus the national

0:35:19.719 --> 0:35:23.919
<v Speaker 1>security angle of energy comes into play. Uh. But yeah,

0:35:24.080 --> 0:35:27.680
<v Speaker 1>it's all of these things are are they look like

0:35:27.719 --> 0:35:31.400
<v Speaker 1>they're positives. In fact, both the Columbia study and the

0:35:31.800 --> 0:35:35.440
<v Speaker 1>Berkeley study, the Lawrence Berkeley study, both of them came

0:35:35.480 --> 0:35:38.880
<v Speaker 1>to the same conclusion, which is that, in an unusual

0:35:38.920 --> 0:35:43.200
<v Speaker 1>turn of events, the greenest approach, also in the long run,

0:35:43.320 --> 0:35:46.400
<v Speaker 1>is the most economical. It will save you more because

0:35:46.920 --> 0:35:50.239
<v Speaker 1>the key they're being in the long and the long run,

0:35:50.400 --> 0:35:53.480
<v Speaker 1>and and not for personal ownership. You have to take

0:35:53.520 --> 0:35:58.040
<v Speaker 1>that shared vehicle into account. That's what makes it uh

0:35:58.120 --> 0:36:02.240
<v Speaker 1>an attractive economical coach. Not for the person who wants

0:36:02.280 --> 0:36:04.640
<v Speaker 1>to have their own car. This is for the person

0:36:04.680 --> 0:36:06.600
<v Speaker 1>who lives in a city and wants to be able

0:36:06.640 --> 0:36:09.480
<v Speaker 1>to get around and maybe doesn't want their own car

0:36:09.520 --> 0:36:12.240
<v Speaker 1>because they don't want to make car payments, they don't

0:36:12.239 --> 0:36:14.600
<v Speaker 1>want to make insurance payments, they don't want to be

0:36:14.680 --> 0:36:17.719
<v Speaker 1>taxed every year on the vehicle that they used to

0:36:17.760 --> 0:36:21.719
<v Speaker 1>get around. So if they are using a system like this,

0:36:22.000 --> 0:36:24.799
<v Speaker 1>then they're paying on a per trip basis, and even

0:36:24.800 --> 0:36:27.080
<v Speaker 1>if you factor in all the trips, it may be

0:36:27.440 --> 0:36:31.359
<v Speaker 1>that your your cost per year is lower than that

0:36:31.640 --> 0:36:33.399
<v Speaker 1>of owning a car, unless you're one of those people

0:36:33.400 --> 0:36:34.920
<v Speaker 1>who can buy a car and make it last for

0:36:35.000 --> 0:36:37.680
<v Speaker 1>twenty years, in which case you could argue, hey, no,

0:36:37.840 --> 0:36:41.400
<v Speaker 1>I'm in my case it doesn't make sense. But but

0:36:41.520 --> 0:36:43.600
<v Speaker 1>most of us are not like that, right, most of

0:36:43.680 --> 0:36:46.879
<v Speaker 1>us can't have a car and have it in good

0:36:46.920 --> 0:36:51.520
<v Speaker 1>working condition for a really long time. That's getting less

0:36:51.560 --> 0:36:55.879
<v Speaker 1>and less common these days. So again, because of all

0:36:55.880 --> 0:36:59.880
<v Speaker 1>that technology and how expensive it is, the average estimation

0:37:00.160 --> 0:37:02.440
<v Speaker 1>of how much that would add to the cost of

0:37:02.480 --> 0:37:06.640
<v Speaker 1>a vehicle, adding on top of the already you know,

0:37:06.680 --> 0:37:10.560
<v Speaker 1>whatever the price tag is is another one thousand dollars.

0:37:10.640 --> 0:37:13.640
<v Speaker 1>So take a thirty thousand dollar car, toss a hundred

0:37:13.640 --> 0:37:16.399
<v Speaker 1>fifty thousand on top of it thousand dollars for your

0:37:16.440 --> 0:37:20.239
<v Speaker 1>autonomous car. Yeah, I don't have that sitting around. I

0:37:20.280 --> 0:37:24.960
<v Speaker 1>don't either. I thought I did. Turns out it's more

0:37:25.040 --> 0:37:29.000
<v Speaker 1>like about a buck seventy three and change, what is

0:37:29.000 --> 0:37:34.640
<v Speaker 1>it with the true code sealant exactly? Like what if

0:37:34.680 --> 0:37:39.239
<v Speaker 1>I want that undercoat treatment thing? Um? Yeah, no. So

0:37:40.239 --> 0:37:42.400
<v Speaker 1>if we do look at it from that personal ownership,

0:37:42.480 --> 0:37:45.640
<v Speaker 1>it's prohibitively expensive and would be for quite some time

0:37:45.680 --> 0:37:48.319
<v Speaker 1>because again, even bringing those costs down, you would have

0:37:48.360 --> 0:37:52.400
<v Speaker 1>to bring them down an incredible amount to get close

0:37:52.480 --> 0:37:55.960
<v Speaker 1>to what the cars of today cost, right, so this

0:37:56.000 --> 0:37:58.640
<v Speaker 1>would be decades or at least a decade to get

0:37:58.640 --> 0:38:01.560
<v Speaker 1>to that level. How Ever, if you look at it

0:38:01.680 --> 0:38:06.120
<v Speaker 1>as you are an organization that wishes to provide driver

0:38:06.320 --> 0:38:09.560
<v Speaker 1>services in a dense urban environment, and you compare it

0:38:09.600 --> 0:38:15.080
<v Speaker 1>to the cost of maintaining a fleet of uh gasoline

0:38:15.120 --> 0:38:20.000
<v Speaker 1>powered vehicles operated by humans, it suddenly starts to make

0:38:20.080 --> 0:38:25.360
<v Speaker 1>sense because you're not paying those drivers. Robots don't get paid,

0:38:26.239 --> 0:38:28.560
<v Speaker 1>so they might take our jobs, but at least we

0:38:28.640 --> 0:38:32.160
<v Speaker 1>know they're not making a living. You know, there's a

0:38:32.200 --> 0:38:36.120
<v Speaker 1>little silvery silver lining, and then there they're just as

0:38:36.200 --> 0:38:38.920
<v Speaker 1>miserable as I am. And I want to point out

0:38:38.920 --> 0:38:44.640
<v Speaker 1>that these organizations that are providing cab services have some

0:38:44.680 --> 0:38:46.960
<v Speaker 1>money because it's not a cheap thing to run a

0:38:47.000 --> 0:38:49.680
<v Speaker 1>taxi service in New York. You have to purchase that

0:38:49.800 --> 0:38:53.239
<v Speaker 1>medallion that that license to run your cab, and the

0:38:53.280 --> 0:38:55.319
<v Speaker 1>prices of them vary with the market, but they run

0:38:55.400 --> 0:38:57.560
<v Speaker 1>in the in the hundreds of thousands of dollars to

0:38:57.640 --> 0:39:00.600
<v Speaker 1>the millions of dollars. For for Examp, well, they sold

0:39:00.600 --> 0:39:04.279
<v Speaker 1>for an average of eight hundred thousand dollars each during

0:39:04.280 --> 0:39:07.400
<v Speaker 1>the first quarter, and that's way down from like the

0:39:07.480 --> 0:39:09.239
<v Speaker 1>two million that they were going for a couple of

0:39:09.320 --> 0:39:12.920
<v Speaker 1>years ago. So on top of that, you've got insurance

0:39:12.960 --> 0:39:16.799
<v Speaker 1>and industry fees, And what I'm saying is that overall

0:39:17.000 --> 0:39:19.800
<v Speaker 1>it's a very expensive business to be in. And whether

0:39:20.080 --> 0:39:23.560
<v Speaker 1>or not this would make it less expensive is very complicated,

0:39:24.520 --> 0:39:26.879
<v Speaker 1>but even but I can imagine that like it would

0:39:26.920 --> 0:39:30.560
<v Speaker 1>lower your insurance premiums, it would if you're using electric,

0:39:30.600 --> 0:39:33.440
<v Speaker 1>then you don't have the fuel costs associated with fueling

0:39:33.560 --> 0:39:37.360
<v Speaker 1>a fleet of taxis. Uh. If you're doing the right sizing,

0:39:37.440 --> 0:39:42.880
<v Speaker 1>then you are also very intelligently storing those vehicles whenever

0:39:42.920 --> 0:39:45.160
<v Speaker 1>they're not in use. Usually they're just be coming into

0:39:45.239 --> 0:39:47.200
<v Speaker 1>charge normally, what you would do is you would have

0:39:47.239 --> 0:39:50.239
<v Speaker 1>a certain number of vehicles in reserve fully charged, and

0:39:50.280 --> 0:39:52.880
<v Speaker 1>then have those go out onto the streets while the

0:39:52.880 --> 0:39:57.000
<v Speaker 1>ones that have to have to recharge come in. Um

0:39:57.120 --> 0:40:00.360
<v Speaker 1>and you know, even that that high upfront co us,

0:40:00.840 --> 0:40:03.279
<v Speaker 1>it's not it's not that high when you're looking at

0:40:03.280 --> 0:40:08.279
<v Speaker 1>the medallion cost. And uh, the long term maintenance may

0:40:08.320 --> 0:40:12.840
<v Speaker 1>be much lower depending upon what breaks. Because they're also

0:40:13.080 --> 0:40:16.120
<v Speaker 1>very sophisticated machines. Right, So if you have something that's

0:40:16.640 --> 0:40:19.600
<v Speaker 1>beyond a mechanical failure where you know you've got a

0:40:19.640 --> 0:40:22.719
<v Speaker 1>mechanic coming in there, if it's a computational problem, that

0:40:22.800 --> 0:40:26.880
<v Speaker 1>actually could end up being a bigger issue. Mechanical cars,

0:40:27.040 --> 0:40:29.560
<v Speaker 1>most cars are mechanical. You guys, did you know electric

0:40:29.600 --> 0:40:32.640
<v Speaker 1>cars I've heard can be more expensive to up keep. Yeah. Yeah,

0:40:32.680 --> 0:40:34.760
<v Speaker 1>so that is one of those things where when something

0:40:34.760 --> 0:40:37.960
<v Speaker 1>when it's something is a problem, it probably is more expensive.

0:40:38.080 --> 0:40:41.759
<v Speaker 1>The argument I have seen is that problems would be

0:40:41.920 --> 0:40:47.200
<v Speaker 1>more infrequent assuming that you have a reliably built vehicle. Uh,

0:40:47.320 --> 0:40:49.880
<v Speaker 1>of course that's a that's a big assumption. Obviously. If

0:40:49.880 --> 0:40:52.640
<v Speaker 1>that's wrong, then that's a problem. But getting back to Uber,

0:40:53.200 --> 0:40:55.840
<v Speaker 1>where we talked about all those uh that nineteen thousand

0:40:55.920 --> 0:40:57.560
<v Speaker 1>Uber drivers that are also in New York City of

0:40:57.600 --> 0:41:00.440
<v Speaker 1>fifteen thousand and nineteen thousand, depending upon the of what

0:41:00.560 --> 0:41:04.359
<v Speaker 1>you're looking at. Uber CEO Travis Kalnik said in two

0:41:04.400 --> 0:41:08.080
<v Speaker 1>thousand fourteen, and here's a way to motivate your employees.

0:41:08.719 --> 0:41:11.920
<v Speaker 1>That long term plan for Uber it was that the

0:41:11.960 --> 0:41:17.200
<v Speaker 1>company would replace human drivers with autonomous vehicles, so essentially saying, hey,

0:41:17.520 --> 0:41:20.760
<v Speaker 1>all you guys who drive for us, your days are numbers.

0:41:20.840 --> 0:41:24.799
<v Speaker 1>You're super replaceable. Don't forget it by a car. As

0:41:24.800 --> 0:41:28.520
<v Speaker 1>it turns out, you're replaceable via machine. Uh. Now, we're

0:41:28.560 --> 0:41:31.400
<v Speaker 1>not there yet. Obviously, we don't have autonomous cars that

0:41:31.440 --> 0:41:34.840
<v Speaker 1>are that are allowed on the streets to do this

0:41:34.920 --> 0:41:37.040
<v Speaker 1>kind of business, and it maybe sometime before we are.

0:41:37.160 --> 0:41:44.000
<v Speaker 1>But that is Uber's plan um and for Uber it

0:41:44.040 --> 0:41:47.000
<v Speaker 1>makes perfect sense because even though it's that huge upfront

0:41:47.040 --> 0:41:50.000
<v Speaker 1>cost of purchasing a vehicle that's going to have a

0:41:50.040 --> 0:41:52.920
<v Speaker 1>hundred fifty thousand dollar hike on its price tacking which

0:41:53.000 --> 0:41:55.200
<v Speaker 1>they don't have to purchase any vehicles right now because

0:41:55.200 --> 0:41:57.480
<v Speaker 1>they use the driver's vehicles, right. I mean, this is

0:41:57.520 --> 0:42:02.480
<v Speaker 1>a big expense, but Uber drivers take home you know,

0:42:02.680 --> 0:42:06.600
<v Speaker 1>the majority of their fairs they are earned, which makes sense.

0:42:06.760 --> 0:42:09.640
<v Speaker 1>They're doing the work right there. Uber is the facilitator,

0:42:09.920 --> 0:42:12.160
<v Speaker 1>but they're the person doing the work. And in fact,

0:42:12.160 --> 0:42:16.000
<v Speaker 1>I remember seeing when they the the rate went down

0:42:16.040 --> 0:42:19.840
<v Speaker 1>to like they take home the fairs. When that happened

0:42:19.880 --> 0:42:22.080
<v Speaker 1>in San Francisco, that was huge news because they used

0:42:22.080 --> 0:42:26.200
<v Speaker 1>to tell how more than that. But from Uber standpoint,

0:42:26.239 --> 0:42:29.640
<v Speaker 1>they'd be saying, Hey, look, we'd take home the entire fair.

0:42:30.560 --> 0:42:32.879
<v Speaker 1>The car doesn't get any of it. We might really

0:42:32.920 --> 0:42:35.640
<v Speaker 1>we have to reinvest in the vehicles, but the car

0:42:35.760 --> 0:42:38.880
<v Speaker 1>itself is a machine, a tool. The money goes to

0:42:38.960 --> 0:42:42.200
<v Speaker 1>the company. So from the company's perspective, it makes perfect

0:42:42.239 --> 0:42:45.000
<v Speaker 1>sense to make this investment because they'd be making way

0:42:45.040 --> 0:42:49.080
<v Speaker 1>more money. Oh yeah, even even taxi services. Taxi drivers

0:42:49.120 --> 0:42:51.799
<v Speaker 1>perceive about fifty seven percent of their fares or did

0:42:51.840 --> 0:42:53.799
<v Speaker 1>as of two thousand five, which is the last number

0:42:53.800 --> 0:42:55.879
<v Speaker 1>that I could find on it. But but that would

0:42:56.000 --> 0:42:59.080
<v Speaker 1>still make complete sense for taxi companies as well. Yeah,

0:42:59.239 --> 0:43:03.040
<v Speaker 1>so callen x gun even further than this. Recently, in

0:43:03.160 --> 0:43:07.040
<v Speaker 1>July of that's when we're recording this. Early July, he

0:43:07.160 --> 0:43:11.520
<v Speaker 1>said he would be willing to purchase five hundred thousand

0:43:11.680 --> 0:43:16.640
<v Speaker 1>electric cars from Tesla by if those cars were autonomous.

0:43:16.640 --> 0:43:19.000
<v Speaker 1>So Tesla has been experimenting with autonomous cars. I think

0:43:19.000 --> 0:43:23.320
<v Speaker 1>they've got like twelve prototypes on the road, and Ellen

0:43:23.400 --> 0:43:26.799
<v Speaker 1>Musk has said that he's very interested in pushing autonomous cars.

0:43:26.840 --> 0:43:29.000
<v Speaker 1>He says that's the future of cars, and it's not

0:43:29.040 --> 0:43:32.480
<v Speaker 1>going to be in private car ownership. Now that is amazing.

0:43:33.400 --> 0:43:35.760
<v Speaker 1>Here a guy who is the CEO of a car

0:43:35.880 --> 0:43:40.720
<v Speaker 1>company saying personal car ownership is limited, it's not the future.

0:43:41.239 --> 0:43:43.440
<v Speaker 1>In fact, he sees a future where humans will not

0:43:43.480 --> 0:43:46.800
<v Speaker 1>be allowed behind the wheel of a car, that only

0:43:46.960 --> 0:43:49.600
<v Speaker 1>robots will be able to will be allowed to drive

0:43:49.719 --> 0:43:53.000
<v Speaker 1>vehicles because they are so much safer than humans are

0:43:53.840 --> 0:43:57.040
<v Speaker 1>that even once you get past that initial you know,

0:43:57.280 --> 0:44:01.320
<v Speaker 1>experience of I don't really I want to be in control,

0:44:02.080 --> 0:44:04.319
<v Speaker 1>once you get past that and you realize, well, this

0:44:04.360 --> 0:44:07.600
<v Speaker 1>machine that is in control is way better at doing

0:44:07.640 --> 0:44:10.400
<v Speaker 1>it than I am. And all the other crazy people

0:44:10.400 --> 0:44:12.840
<v Speaker 1>on the road are in the same boat. All of

0:44:12.920 --> 0:44:14.719
<v Speaker 1>their cars are in control. So I don't have to

0:44:14.760 --> 0:44:17.640
<v Speaker 1>worry about the crazy person who is not really paying

0:44:17.640 --> 0:44:21.000
<v Speaker 1>attention to driving, but is paying attention to something completely

0:44:21.040 --> 0:44:24.520
<v Speaker 1>different and would be a danger. Otherwise, well, they're not

0:44:24.800 --> 0:44:29.960
<v Speaker 1>controlling their car anymore. The robots are. So I think

0:44:30.080 --> 0:44:33.120
<v Speaker 1>people have convincingly made the case, Yeah, in the future,

0:44:33.239 --> 0:44:36.120
<v Speaker 1>that we're going to look back on the era of

0:44:36.360 --> 0:44:39.200
<v Speaker 1>people being allowed to drive their own cars, kind of

0:44:39.200 --> 0:44:41.200
<v Speaker 1>in the way we we now look back on the

0:44:41.239 --> 0:44:45.279
<v Speaker 1>era of doctors not needing licenses. Yeah, it's just kind

0:44:45.320 --> 0:44:50.520
<v Speaker 1>of like what were So the interesting thing here is

0:44:50.560 --> 0:44:54.799
<v Speaker 1>that if Kalanick and Musk had struck a deal then,

0:44:55.080 --> 0:44:58.440
<v Speaker 1>and and if Tesla in fact only made autonomous cars

0:44:58.440 --> 0:45:01.600
<v Speaker 1>in the five thousand cars that call Nick said he

0:45:01.600 --> 0:45:05.920
<v Speaker 1>would purchase, that would represent the entire run of that

0:45:06.040 --> 0:45:08.880
<v Speaker 1>year's Tesla model, because that's how many cars they make

0:45:08.880 --> 0:45:12.400
<v Speaker 1>in a year's five thousand. So essentially call Nic saying

0:45:12.640 --> 0:45:16.880
<v Speaker 1>I'll buy every car you make in its autonomous and remember,

0:45:17.000 --> 0:45:20.120
<v Speaker 1>nine thousand cars, according to that Columbia study, would be

0:45:20.239 --> 0:45:23.080
<v Speaker 1>enough to satisfy the needs of New York City. So

0:45:23.120 --> 0:45:28.239
<v Speaker 1>with five thousand, you could potentially have tons of markets

0:45:28.280 --> 0:45:32.880
<v Speaker 1>covered by these driverless cars, assuming it were legal for

0:45:32.920 --> 0:45:35.560
<v Speaker 1>you to do so. And that again is where we

0:45:35.680 --> 0:45:39.400
<v Speaker 1>run into the first major roadblock. It's not the technology,

0:45:39.480 --> 0:45:43.840
<v Speaker 1>which is I wouldn't say it's mature, but it's really close.

0:45:44.280 --> 0:45:48.160
<v Speaker 1>Like it's much closer than than what you would expect,

0:45:48.160 --> 0:45:53.000
<v Speaker 1>considering it's not something that's readily available for consumers. It's

0:45:53.000 --> 0:45:56.120
<v Speaker 1>gonna be the legal barriers of how do you create

0:45:56.200 --> 0:46:02.280
<v Speaker 1>legislation that covers a world where both manually operated vehicles

0:46:02.320 --> 0:46:05.399
<v Speaker 1>and robotic vehicles are sharing the road, Because there's gonna

0:46:05.400 --> 0:46:09.000
<v Speaker 1>be years of transition before we reach this point where

0:46:09.840 --> 0:46:13.040
<v Speaker 1>the majority or perhaps even all of the vehicles on

0:46:13.080 --> 0:46:16.919
<v Speaker 1>the street are operated robotically. And until we get there,

0:46:17.200 --> 0:46:19.759
<v Speaker 1>there's gonna be some growing pains. There's gonna be some

0:46:20.040 --> 0:46:25.560
<v Speaker 1>tough decisions, unprecedented in some cases, and we honestly don't

0:46:25.640 --> 0:46:29.480
<v Speaker 1>know where that's gonna go because humans are far less

0:46:29.480 --> 0:46:33.440
<v Speaker 1>predictable than machines, and when it comes to legislation and

0:46:33.600 --> 0:46:37.879
<v Speaker 1>powerful lobbies as well, it's hard to say how that's

0:46:37.880 --> 0:46:39.759
<v Speaker 1>gonna go. I mean, I would imagine if I were

0:46:40.040 --> 0:46:43.200
<v Speaker 1>a politician in New York City, the Taxi and Limousine

0:46:43.200 --> 0:46:48.000
<v Speaker 1>Commission probably and and perhaps in you know, organizations representing

0:46:48.040 --> 0:46:51.920
<v Speaker 1>the drivers would probably want to really have some serious

0:46:51.960 --> 0:46:55.359
<v Speaker 1>conversations with me about any decisions I might make that

0:46:55.400 --> 0:46:58.680
<v Speaker 1>would be in favor of autonomous cars and perhaps against

0:46:58.760 --> 0:47:01.560
<v Speaker 1>human drivers, I would imagine. So, so one of the

0:47:01.600 --> 0:47:03.319
<v Speaker 1>things we do have to think about, like if you

0:47:03.400 --> 0:47:06.960
<v Speaker 1>are one of those those politicians having to make those decisions.

0:47:08.320 --> 0:47:12.360
<v Speaker 1>An element that comes into into the conversation that is

0:47:12.760 --> 0:47:17.000
<v Speaker 1>hard to dismiss is what about the jobs of all

0:47:17.000 --> 0:47:19.799
<v Speaker 1>those drivers, not just drivers, but also mechanics, you know,

0:47:19.880 --> 0:47:22.600
<v Speaker 1>folks who would be out of work. I saw one

0:47:23.239 --> 0:47:27.520
<v Speaker 1>study that talked about how you would see a loss

0:47:27.560 --> 0:47:31.319
<v Speaker 1>of jobs in auto mechanics because there will be fewer accidents. So,

0:47:31.400 --> 0:47:33.839
<v Speaker 1>because there'll be fewer accidents, there will be less called

0:47:33.920 --> 0:47:38.040
<v Speaker 1>for body work. And then you think, well, fewer accidents

0:47:38.160 --> 0:47:43.520
<v Speaker 1>is good because you decrease the risk to human health, right,

0:47:43.680 --> 0:47:45.719
<v Speaker 1>I mean, you're you're not going to have as many

0:47:46.080 --> 0:47:48.120
<v Speaker 1>incidents where someone is going to be injured as a

0:47:48.120 --> 0:47:50.799
<v Speaker 1>result of an accident. But then, yes, it does have

0:47:50.880 --> 0:47:56.040
<v Speaker 1>this other effect of eliminating the need for the job.

0:47:56.160 --> 0:47:58.040
<v Speaker 1>No one has to repair the cars, no one has

0:47:58.080 --> 0:48:01.360
<v Speaker 1>to repair the humans get hurt. I mean, yeah, this

0:48:01.400 --> 0:48:05.120
<v Speaker 1>has kind of fire reaching effects. There's a domino effect definitely, right,

0:48:05.280 --> 0:48:08.040
<v Speaker 1>it spreads out or ripple effect even and domino is

0:48:08.080 --> 0:48:11.440
<v Speaker 1>probably not even accurate. Ripple is probably more accurate. So

0:48:12.200 --> 0:48:14.719
<v Speaker 1>these are questions that we don't necessarily have answers to,

0:48:14.920 --> 0:48:17.320
<v Speaker 1>and and it's it's something that you do have to

0:48:17.360 --> 0:48:20.520
<v Speaker 1>think about. If you're thinking, well, the benefits are clear,

0:48:21.000 --> 0:48:24.200
<v Speaker 1>and it would benefit a ton of people, so it

0:48:24.320 --> 0:48:26.720
<v Speaker 1>makes sense to make this move from that perspective. However,

0:48:26.800 --> 0:48:29.640
<v Speaker 1>there are folks that are going to be negatively impacted

0:48:29.680 --> 0:48:32.399
<v Speaker 1>by this, at least in the short term, if not

0:48:32.680 --> 0:48:36.239
<v Speaker 1>longer than that. So what do we do about that?

0:48:36.880 --> 0:48:39.359
<v Speaker 1>We you know, some people I'm sure would argue, hey,

0:48:39.360 --> 0:48:43.839
<v Speaker 1>we can't let this stop us from making progress, but

0:48:44.120 --> 0:48:47.680
<v Speaker 1>we can't just ignore it either. Well, certainly, I mean,

0:48:47.719 --> 0:48:50.400
<v Speaker 1>I think it's yet another chapter that's pretty similar to

0:48:50.440 --> 0:48:53.960
<v Speaker 1>previous chapters in in the story of automating work. I mean,

0:48:54.000 --> 0:48:57.120
<v Speaker 1>you could say the same thing about farmers in the

0:48:57.200 --> 0:49:01.840
<v Speaker 1>nineteen and twentieth century, or manufacturing, yeah, I mean, or

0:49:01.880 --> 0:49:04.840
<v Speaker 1>anyone who worked for Amazon. Lots of the jobs that

0:49:04.960 --> 0:49:09.520
<v Speaker 1>used to exist just don't anymore. And I mean we

0:49:09.560 --> 0:49:13.400
<v Speaker 1>would probably all now say that we're better off because

0:49:14.280 --> 0:49:18.799
<v Speaker 1>that we've got machines doing those jobs instead of people. Um,

0:49:18.840 --> 0:49:20.640
<v Speaker 1>but I'm sure at the time it was hard for

0:49:20.680 --> 0:49:23.600
<v Speaker 1>the people who had invested time and money into training

0:49:23.640 --> 0:49:27.440
<v Speaker 1>for those skis really yeah. Yeah. So one of the

0:49:27.560 --> 0:49:31.239
<v Speaker 1>things I think is important is that we have to

0:49:32.040 --> 0:49:35.440
<v Speaker 1>keep in mind that this this era of automation is

0:49:35.520 --> 0:49:38.680
<v Speaker 1>going to it's going to continue. It is coming. It's

0:49:38.719 --> 0:49:41.239
<v Speaker 1>not it's not like this is something that is is.

0:49:42.480 --> 0:49:45.360
<v Speaker 1>Maybe this is a it will happen. We're not going

0:49:45.400 --> 0:49:48.440
<v Speaker 1>to stop it. We could delay it, but the question

0:49:48.560 --> 0:49:50.960
<v Speaker 1>is is it a good idea to delay it? Well,

0:49:50.960 --> 0:49:54.360
<v Speaker 1>and it's a question of when whether we purposefully attempt

0:49:54.480 --> 0:49:57.600
<v Speaker 1>to delay it or not. Because you know, just because

0:49:57.719 --> 0:50:00.200
<v Speaker 1>Uber says that they want to buy five tho ours

0:50:00.239 --> 0:50:03.439
<v Speaker 1>from Tesla, doesn't mean that Tesla is going to sell

0:50:03.520 --> 0:50:06.080
<v Speaker 1>those to them, or that they're going to have an

0:50:06.080 --> 0:50:10.000
<v Speaker 1>autonomous car ready to go. Musk thinks it's closer to

0:50:10.640 --> 0:50:29.000
<v Speaker 1>and get ready twenty to forty years exactly what Lauren

0:50:29.080 --> 0:50:32.799
<v Speaker 1>was saying that we don't you know, would be that

0:50:32.800 --> 0:50:37.320
<v Speaker 1>that's Calinic's dream to have that, and and for obvious readings,

0:50:37.640 --> 0:50:40.319
<v Speaker 1>and it would be a big benefit to us as

0:50:40.360 --> 0:50:43.719
<v Speaker 1>well as you know, it's a huge benefit to Uber.

0:50:44.160 --> 0:50:46.239
<v Speaker 1>That would be an enormous benefit for people to for

0:50:46.320 --> 0:50:50.319
<v Speaker 1>the reasons we've already stated. Um, but that does mean

0:50:50.360 --> 0:50:52.360
<v Speaker 1>that we do need to start thinking about what do

0:50:52.400 --> 0:50:54.600
<v Speaker 1>we do with the people who are these drivers, Like,

0:50:54.640 --> 0:50:57.120
<v Speaker 1>what other jobs could they be doing? How could we

0:50:57.160 --> 0:51:00.840
<v Speaker 1>transition them from that role to something else? Because it

0:51:01.080 --> 0:51:04.359
<v Speaker 1>is coming, it's gonna happen, just as automation is going

0:51:04.400 --> 0:51:06.600
<v Speaker 1>to take over more and more jobs and lots of

0:51:06.600 --> 0:51:09.239
<v Speaker 1>different disciplines. I just think that the driver's one is

0:51:09.280 --> 0:51:14.520
<v Speaker 1>a particularly visible uh job that is in danger of

0:51:14.560 --> 0:51:19.400
<v Speaker 1>being replaced through automation in the foreseeable feature what however

0:51:19.560 --> 0:51:23.400
<v Speaker 1>long that may be from now. But I think twenty

0:51:23.480 --> 0:51:29.040
<v Speaker 1>years is actually being really super like pessimistic. I think

0:51:29.080 --> 0:51:31.880
<v Speaker 1>it's gonna be it's going to be less than two one.

0:51:31.960 --> 0:51:35.319
<v Speaker 1>Well when you have you know Henrik Christensen saying that

0:51:35.520 --> 0:51:38.640
<v Speaker 1>kids born today will never drive a car like well

0:51:38.920 --> 0:51:44.880
<v Speaker 1>in order for that to be true, So uh and

0:51:44.960 --> 0:51:50.040
<v Speaker 1>I side more with his assessment than I do with Musks.

0:51:50.040 --> 0:51:53.160
<v Speaker 1>But uh, and it's mostly because there are other players

0:51:53.160 --> 0:51:56.200
<v Speaker 1>on the field besides Tesla. I mean, that's one company,

0:51:56.239 --> 0:51:59.719
<v Speaker 1>but Google has been very bullish about this, uh and

0:52:00.120 --> 0:52:02.439
<v Speaker 1>companies as well. Yeah, I mean that that's another way

0:52:02.440 --> 0:52:05.000
<v Speaker 1>of looking at it is that since it's not really

0:52:05.000 --> 0:52:07.760
<v Speaker 1>a technology problem but more of just like a social

0:52:07.800 --> 0:52:13.080
<v Speaker 1>and political acceptance or maybe say legal acceptance problem, what

0:52:13.160 --> 0:52:16.320
<v Speaker 1>will it take to make this transition. Well, it'll basically

0:52:16.360 --> 0:52:20.240
<v Speaker 1>take some powerful people with money being behind it, right yeah,

0:52:20.320 --> 0:52:23.440
<v Speaker 1>and it'll and you know, having the these and if

0:52:23.480 --> 0:52:25.279
<v Speaker 1>we have that, I mean it sounds kind of like

0:52:25.320 --> 0:52:28.520
<v Speaker 1>we do well, especially if if they're able to pitch

0:52:28.560 --> 0:52:31.000
<v Speaker 1>it in such a way where it gets public support

0:52:31.080 --> 0:52:34.759
<v Speaker 1>where you say, hey, uh, this approach is going to

0:52:34.840 --> 0:52:37.239
<v Speaker 1>mean less traffic. It's going to mean you spend less

0:52:37.280 --> 0:52:40.439
<v Speaker 1>time getting from point A to point B and more

0:52:40.480 --> 0:52:42.719
<v Speaker 1>time doing what you want to do. You're spending less

0:52:42.760 --> 0:52:45.600
<v Speaker 1>money because you're not paying for car payments or insurance

0:52:45.680 --> 0:52:49.399
<v Speaker 1>or yeah, yeah, you don't have to worry about being

0:52:49.480 --> 0:52:52.800
<v Speaker 1>hit by a car by someone who's who's distracted because

0:52:52.840 --> 0:52:55.600
<v Speaker 1>the cars are never distracted that sort of stuff. That's

0:52:55.920 --> 0:52:57.799
<v Speaker 1>if they can, if they can sell that to the

0:52:57.880 --> 0:53:00.880
<v Speaker 1>public and the public gets support for it, then I

0:53:00.920 --> 0:53:04.680
<v Speaker 1>see the change happening more rapidly. But if they don't

0:53:04.719 --> 0:53:09.280
<v Speaker 1>get that support, it's going to artificially increase the amount

0:53:09.320 --> 0:53:11.319
<v Speaker 1>of time it takes for this transition to happen. You know,

0:53:11.400 --> 0:53:14.040
<v Speaker 1>I think there are a lot of parents of some

0:53:14.280 --> 0:53:17.239
<v Speaker 1>day soon to be fifteen to sixteen year olds who

0:53:17.239 --> 0:53:19.560
<v Speaker 1>are probably going to be on the on the bandwagon

0:53:19.640 --> 0:53:22.640
<v Speaker 1>with this too. And I, of course, you guys know me,

0:53:22.880 --> 0:53:27.640
<v Speaker 1>I'm totally on this bandwagon. Yeah, I would love and

0:53:28.040 --> 0:53:30.920
<v Speaker 1>imagine the streets of Atlanta if they're if they weren't

0:53:30.920 --> 0:53:34.960
<v Speaker 1>clogged with traffic all the time. I can't, I can't.

0:53:35.440 --> 0:53:40.120
<v Speaker 1>I don't have that with mechanical spiders that we rode

0:53:40.160 --> 0:53:43.399
<v Speaker 1>the backs of. Yeah. Oh, and actually, what if your

0:53:43.400 --> 0:53:48.200
<v Speaker 1>car does get distracted? What if it's dreaming? You know what,

0:53:48.320 --> 0:53:50.840
<v Speaker 1>We'll talk about machines dreaming in our next episode. How

0:53:50.880 --> 0:53:54.719
<v Speaker 1>about that, Lauren, We'll do that. So, since we're all

0:53:54.760 --> 0:53:56.600
<v Speaker 1>you determined what our next episode is going to be,

0:53:57.000 --> 0:53:59.040
<v Speaker 1>as in the one will be recording immediately after we

0:53:59.040 --> 0:54:01.400
<v Speaker 1>stopped this one, I want to invite our listeners to

0:54:01.600 --> 0:54:05.680
<v Speaker 1>suggest future topics for forward thinking. You know, let us know.

0:54:06.160 --> 0:54:08.520
<v Speaker 1>It'll be like Frank, write us tell us what you think,

0:54:08.600 --> 0:54:11.640
<v Speaker 1>because that launched into this episode, which was a lot

0:54:11.680 --> 0:54:14.239
<v Speaker 1>of fun to talk about. Uh. So you can send

0:54:14.280 --> 0:54:17.040
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0:54:17.120 --> 0:54:21.080
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0:54:21.160 --> 0:54:23.200
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0:54:23.400 --> 0:54:26.480
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0:54:31.239 --> 0:54:38.960
<v Speaker 1>Really see For more on this topic in the future

0:54:39.000 --> 0:54:51.759
<v Speaker 1>of technology, visit forward Thinking dot com m brought to

0:54:51.800 --> 0:54:54.240
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