WEBVTT - Robot, You Can Drive My Car

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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. Hey there, everyone, and welcome to Forward Thinking.

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<v Speaker 1>The podcast said looks at the future and says, you

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<v Speaker 1>might think I'm delirious the way I run you down.

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<v Speaker 1>I'm Jonathan Strickland, I'm Lauren voc and I'm Joe McCormick.

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<v Speaker 1>And we're revisiting a topic we've covered in a previous

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<v Speaker 1>couple of episodes, affard thinking. We're revisiting autonomous cars. Self

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<v Speaker 1>driving cars, Yeah, because we we had had two whole

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<v Speaker 1>episodes about them. We recommend listening to them there in

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<v Speaker 1>our audio archives. But but there are a lot of

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<v Speaker 1>other things that we still wanted to talk about, and

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<v Speaker 1>also some interesting new information that has arisen. Yeah, And

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<v Speaker 1>part of that was just kind of talking about the

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<v Speaker 1>history of self driving cars and developing them, because we

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<v Speaker 1>didn't really talk about in those previous episodes. And you know,

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<v Speaker 1>there was some work that was done as early as

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<v Speaker 1>the nineteen seventies in trying to create self driving or

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<v Speaker 1>autonomy as cars, and some of that technology has made

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<v Speaker 1>its way into vehicles. Things like cruise control is a

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<v Speaker 1>very simple manifestation, but we also have things like collision detection,

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<v Speaker 1>parking assistance, all this other kind of technology that has

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<v Speaker 1>been incorporated into various models of cars over the last

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<v Speaker 1>few years. And we're seeing, you know, year over year,

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<v Speaker 1>cars are getting more and more of these autonomous features

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<v Speaker 1>built into them. We haven't quite reached the point where

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<v Speaker 1>you can go and buy a truly autonomous car off

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<v Speaker 1>the lot and have it drive you home. But we're

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<v Speaker 1>getting there. Uh, the question is how fast are we

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<v Speaker 1>going to get there? But we'll kind of address that

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<v Speaker 1>a little bit later. To look at the true kind

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<v Speaker 1>of history of the modern self driving car, you gotta

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<v Speaker 1>look at UM a mysterious organization and part of the

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<v Speaker 1>Department of Defense. Yeah, so, uh, Department of Defense. Yeah,

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<v Speaker 1>United States Department of Defense has the Defense Advanced Research

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<v Speaker 1>Projects Agency or DARPA. DARPA is actually responsible for a

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<v Speaker 1>lot of technology that we use today. So they're building transformers.

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<v Speaker 1>Is that it? Actually here's the funny thing. Here's the

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<v Speaker 1>funny thing. They are working on humanoid robots right now.

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<v Speaker 1>That's the latest challenge. But the the challenges we're talking

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<v Speaker 1>about our autonomous cars that were called robots, but don't

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<v Speaker 1>transform into humanoid robots. They are not in disguise. They're

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<v Speaker 1>just robots in car form. So so they're like half

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<v Speaker 1>of a transformer, Yes, the transformer, the boring half, and

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<v Speaker 1>and a lot of this is hypothetically for say, disaster

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<v Speaker 1>relief work, stuff like that, um military purposes. Specifically, it

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<v Speaker 1>says they like they like talking about the disaster relief

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<v Speaker 1>for ye. Well that's the that's the cheery way of

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<v Speaker 1>putting it. Yeah, because they The specific mission of DARPA,

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<v Speaker 1>according to the website is darpast mission is to maintain

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<v Speaker 1>the technological superiority of the U. S Military and prevent

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<v Speaker 1>technological surprise from harming our national security by sponsoring revolutionary,

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<v Speaker 1>high payoff research, bridging the gap between fundamental discoveries and

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<v Speaker 1>their military use. Not quite as fuzzy and warm as

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<v Speaker 1>they We want to to improve disaster relief response. But

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<v Speaker 1>I mean it's honest. So, but darp has been been

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<v Speaker 1>responsible for technology that has given us the opportunity to

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<v Speaker 1>have a job because it was DARPA that funded the

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<v Speaker 1>ARPA net, which is the predecessor to the Internet. So

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<v Speaker 1>do you guys know when, uh, when DARPA got started,

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<v Speaker 1>Like what what event precipitated the founding of DARPA. Can

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<v Speaker 1>you can you take a wild guess of what event

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<v Speaker 1>in history would have inspired the United States to launch

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<v Speaker 1>a research and development organization to try and maintain technological superiority.

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<v Speaker 1>I'm gonna say either, um, either sput Nick or when

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<v Speaker 1>they canceled Happy Days. You were right the first times Sputnik. Uh.

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<v Speaker 1>Sput Nick was in fact the event that inspired the

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<v Speaker 1>United States to form DARPA. So, of course, Sputnik was

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<v Speaker 1>when the Soviet Union launched a saddle that orbited the

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<v Speaker 1>Earth and went beep a few times. Terrifying. Yeah, No,

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<v Speaker 1>Sputnik two is what was terrifying, because that had the

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<v Speaker 1>dog in it, like poor La who suffocated pretty quickly

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<v Speaker 1>in that because it failures in the Sputnik two. So darnia. Yeah,

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<v Speaker 1>getting back to the cheerfulness, DARPA ended up funding lots

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<v Speaker 1>of different projects, including what would become the Internet, or

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<v Speaker 1>at least the predecessor to the Internet, I should be clear.

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<v Speaker 1>And then also in two thousand four decided to get

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<v Speaker 1>into the automated car business. In a way, they actually

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<v Speaker 1>submitted a challenge to the world, or really I should

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<v Speaker 1>say to the United States. Um, And they said that

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<v Speaker 1>the purpose of the DARPA Grand Challenge two thousand four,

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<v Speaker 1>which was the first year they held. It is to

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<v Speaker 1>leverage American ingenuity to accelerate the development of autonomous vehicle

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<v Speaker 1>technologies that can be applied to military requirements. UH, So

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<v Speaker 1>we always get a military bit at the end. So UH.

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<v Speaker 1>In that challenge, they had I think twenty five groups. Uh.

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<v Speaker 1>And the challenge specifically involved a route from Los Angeles

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<v Speaker 1>to Las Vegas, which is three hundred miles. Is a

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<v Speaker 1>three hundred mile course that these cars were expected to

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<v Speaker 1>UH to go on, and it included both on road

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<v Speaker 1>and off road sections. They had cleared the on road

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<v Speaker 1>sections of traffic so these robotic cars wouldn't be careening

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<v Speaker 1>into pedestrians and and and regular traffic. It wasn't onlike

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<v Speaker 1>Hollywood Boulevard or anything like that. The best probably yeah, no,

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<v Speaker 1>I've been on Hollywood Boulevard. That is for the best.

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<v Speaker 1>A series of way points to find the routes, and

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<v Speaker 1>the vehicles were to follow those way points, and there

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<v Speaker 1>were also some checkpoints where the teams were allowed to

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<v Speaker 1>stand by in order to do quick repairs or refuel

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<v Speaker 1>their vehicles before the vehicle would continue on. However, every

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<v Speaker 1>single vehicle had to be unmanned and autonomous, which meant

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<v Speaker 1>you could not control it by remote control. It had

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<v Speaker 1>to be moving on its own and the winning team

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<v Speaker 1>would be the first one or the one to navigate

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<v Speaker 1>that route in the shortest amount of time and they

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<v Speaker 1>would win one million dollars. So among those twenty five

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<v Speaker 1>teams were some racing teams UH. There was also cal

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<v Speaker 1>Tech and Virginia Tech were in there. There was even

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<v Speaker 1>a high school team, the Palos Verdes High School Racing Team,

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<v Speaker 1>and other teams involved robot enthusiasts and other companies and

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<v Speaker 1>research facilities. So who won nobody none. None of the

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<v Speaker 1>vehicles were able to to go across that three hundred

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<v Speaker 1>mile routes successfully within the timeframe. So then they held

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<v Speaker 1>another Grand Challenge in two thousand five. It was a

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<v Speaker 1>little more um conservative, I would say. Instead of three

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<v Speaker 1>hundred miles, it was a hundred thirty one point two

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<v Speaker 1>miles long and UH it was so that made it

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<v Speaker 1>less than half as long as the two thousand four challenge. UM.

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<v Speaker 1>They had five teams completed UH and Stanford went away

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<v Speaker 1>with the first prize, winning two million dollars. Some of

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<v Speaker 1>the other teams included a couple of teams from Carnegie

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<v Speaker 1>Melon and a team from Princeton UH, but the Stanford

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<v Speaker 1>team completed the challenge in six hours fifty three minutes. UH.

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<v Speaker 1>Their car relied on lasers, optical cameras, and radar for

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<v Speaker 1>environmental perception, and the data gathered by sensors was mapped

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<v Speaker 1>against a drive ability map that was used to set

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<v Speaker 1>the direction and speed of the vehicle. And all the

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<v Speaker 1>technical papers for all the teams, all of that is

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<v Speaker 1>available on an archive site at DARPA will try and

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<v Speaker 1>link that in social so that you guys can see

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<v Speaker 1>Because you can actually go and read their technical papers

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<v Speaker 1>and see their approach to building an autonomous vehicle. It's

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<v Speaker 1>really fascinating stuff, um, particularly if you're an engineer and

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<v Speaker 1>you can understand all the terms. Even for me, where

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<v Speaker 1>I could understand maybe twenty of them, I was really

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<v Speaker 1>I was really excited to read them. And then you

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<v Speaker 1>finally had the Urban Challenge, which was in two thousand seven.

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<v Speaker 1>So the Urban challenge was stepping up the difficulty from

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<v Speaker 1>the two thousand five challenge. It wasn't as long, but

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<v Speaker 1>it was in an urban environment, meaning they were going

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<v Speaker 1>to create traffic patterns. They had people driving actual cars

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<v Speaker 1>driving around to to make that more like an actual

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<v Speaker 1>town setting. Uh. They used an old uh no longer

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<v Speaker 1>in use Air Force base to create their little fake

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<v Speaker 1>town and and have the three various courses. They had

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<v Speaker 1>a national qualifying event. Uh. There were I think eighty

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<v Speaker 1>nine teams that had applied to be part of this.

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<v Speaker 1>Thirty five were selected to participate in the National Qualifying Event,

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<v Speaker 1>which took place over eight days, had three test areas.

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<v Speaker 1>One course was one where vehicles had to merge into

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<v Speaker 1>and out of two way traffic in a circulating course.

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<v Speaker 1>And out of all the test days, only one vehicle

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<v Speaker 1>was ever struck by a robotic car. And in my

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<v Speaker 1>notes I said for getting fresh, So apparently a robot

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<v Speaker 1>car just Actually, there's some funny stories from this, I'll

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<v Speaker 1>tell you in a second. The second course tested cars

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<v Speaker 1>ability to stay within a lane on a meandering road.

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<v Speaker 1>So if the road has lots of turns and curves

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<v Speaker 1>in it, can the car actually maintain the right lane? Uh,

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<v Speaker 1>in order for it to not very into oncoming traffic?

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<v Speaker 1>Well ideally yes. Yeah, we'll have a lot more to

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<v Speaker 1>say about that in a minute too. They also had

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<v Speaker 1>to go through a a narrow street where they had

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<v Speaker 1>parallel parked cars on either side of the street, and

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<v Speaker 1>that section was called the Gauntlet, And the last part

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<v Speaker 1>of that test was the robot had to locate and

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<v Speaker 1>park in an assigned parking space and then pull back

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<v Speaker 1>out and move on to the third course, which was

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<v Speaker 1>a series of four way intersections that the robot had

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<v Speaker 1>to negotiate, so the rolways had to detect traffic and

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<v Speaker 1>obey the rules of the road. So you know, when

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<v Speaker 1>you come up to a four way stop, who gets

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<v Speaker 1>to go through first? It all depends upon when you

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<v Speaker 1>arrived at the four way stop and your position in

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<v Speaker 1>relation to the other drivers. And also they put in

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<v Speaker 1>roadblocks on the course and the robots had to identify

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<v Speaker 1>the roadblock, make a U turn, and then plan some

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<v Speaker 1>different Yeah. Yeah, it had to still get to its

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<v Speaker 1>to its end location. Um. And what was interesting was

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<v Speaker 1>that eleven teams went on to the final challenge. That

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<v Speaker 1>challenge required the robots to visit specific checkpoints and the

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<v Speaker 1>teams were not notified of the checkpoint locations until five

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<v Speaker 1>minutes before the launch, so they had a map of

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<v Speaker 1>the entire space, like they knew what the digital file

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<v Speaker 1>that had all the map of the fake town, but

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<v Speaker 1>they didn't know where the checkpoints we're going to be

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<v Speaker 1>on that map until five minutes before they were pulling

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<v Speaker 1>out the star the route and exactly they had to

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<v Speaker 1>do it right there in real time. The course also

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<v Speaker 1>had thirty vehicles with drivers moving through the course during

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<v Speaker 1>the test, so you had real live drivers on the

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<v Speaker 1>course at the same time, and about half the vehicles

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<v Speaker 1>were removed from the course for various errors. And here's

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<v Speaker 1>the fun part. One of the errors was the Terra

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<v Speaker 1>Max vehicle that nearly drove into the old Commissary building

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<v Speaker 1>on the Air Force space, so they were able to

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<v Speaker 1>stop it just before it drove into a building. Um.

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<v Speaker 1>And also the team you you see f car spontaneously

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<v Speaker 1>decided to park at a car port and just take

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<v Speaker 1>a break, just pulled into a car poard and stopped,

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<v Speaker 1>just like y'all, I give up, I am done with

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<v Speaker 1>this test. They eventually disqualified it. Cornell and uh Cornell

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<v Speaker 1>and M I. T S vehicles gently bumped into each other.

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<v Speaker 1>I like to say they were trading paint. They were

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<v Speaker 1>trying to share a lane together, but they were allowed

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<v Speaker 1>to continue the course once they were separated and totally

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<v Speaker 1>given a little time out. UH. And then first place

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<v Speaker 1>on that went to a team called Tartan Racing out

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<v Speaker 1>of Pittsburgh, Pennsylvania, and the second place went to Stanford again. UH.

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<v Speaker 1>First prize was two million dollars again. So ultimately six

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<v Speaker 1>teams finished the challenge that year, which showed that even

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<v Speaker 1>though they wrapped up the difficulty, they still had six

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<v Speaker 1>teams from across the United States complete that course, which

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<v Speaker 1>really showed the development of technology in the span of

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<v Speaker 1>two years, because we remember in two thousand four no

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<v Speaker 1>one finished, well three years really, because it was two

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<v Speaker 1>thousand seven when they did Urban Challenge, right, And of

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<v Speaker 1>course at this point in two thousand seven, many cars,

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<v Speaker 1>if not most cars, had on board computers. We're controlling

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<v Speaker 1>a lot of different systems. It was mostly monitoring, but yeah,

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<v Speaker 1>there was some control as well. But of course after

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<v Speaker 1>these challenges, some tech companies a little curious. Are you

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<v Speaker 1>talking about a company that rhymes with schmoogle? Um? I

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<v Speaker 1>might be Okay, I remember when this news broke because

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<v Speaker 1>I have a friend who works at Google who told

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<v Speaker 1>me that he didn't tell me about the car. He

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<v Speaker 1>just told me. It's like there's something that's so cool

0:12:29.559 --> 0:12:31.200
<v Speaker 1>going on at Google, and I can't wait for it

0:12:31.240 --> 0:12:33.720
<v Speaker 1>to become public because you're gonna flip out. And it

0:12:33.760 --> 0:12:37.440
<v Speaker 1>took about half a year before the news became public

0:12:37.520 --> 0:12:39.960
<v Speaker 1>from when he told me, and sure enough I flipped out.

0:12:40.760 --> 0:12:44.360
<v Speaker 1>They actually recruited from the challenges they did. In fact,

0:12:44.600 --> 0:12:48.000
<v Speaker 1>the guy who is the project leader UM is in

0:12:48.080 --> 0:12:50.840
<v Speaker 1>fact a one of the members of the Stanford team

0:12:50.920 --> 0:12:55.000
<v Speaker 1>that won Sebastian. He won that two thousand and five challenge,

0:12:55.400 --> 0:12:57.720
<v Speaker 1>so he was part of the the winning team back then.

0:12:57.840 --> 0:13:00.760
<v Speaker 1>And uh, and there are a few others who also

0:13:01.080 --> 0:13:04.400
<v Speaker 1>are working with Google that participated in the Grand Challenge,

0:13:04.440 --> 0:13:07.079
<v Speaker 1>and other people who participated in the Grand Challenge are

0:13:07.120 --> 0:13:11.000
<v Speaker 1>working for specific car companies, so not just Google. Google

0:13:11.080 --> 0:13:13.680
<v Speaker 1>was not the only one to pull talent from this group.

0:13:13.960 --> 0:13:17.079
<v Speaker 1>There are other car companies that that did as well, right,

0:13:17.120 --> 0:13:21.480
<v Speaker 1>But so Google got to work um decking out some

0:13:22.640 --> 0:13:26.600
<v Speaker 1>other proprietary vehicles. They weren't creating their own car from scratch.

0:13:26.679 --> 0:13:28.400
<v Speaker 1>That's one thing to make clear. Yeah, the first one

0:13:28.440 --> 0:13:31.040
<v Speaker 1>that I remember being released to the public, or the

0:13:31.080 --> 0:13:33.680
<v Speaker 1>information that's released to the public, was a Toyota Prius actually,

0:13:34.120 --> 0:13:37.320
<v Speaker 1>but they also they've used Lexus, Yes they have, which

0:13:37.360 --> 0:13:41.480
<v Speaker 1>is also a Toyota company. Yeah, but so they in

0:13:41.640 --> 0:13:43.560
<v Speaker 1>two thousand and ten, I believe it was, they went

0:13:43.640 --> 0:13:45.600
<v Speaker 1>public with r Yeah, they have been working on it

0:13:45.640 --> 0:13:48.199
<v Speaker 1>for like a year, but that was when we found

0:13:48.240 --> 0:13:50.760
<v Speaker 1>out about it. Yeah, there was a big Google blog

0:13:50.840 --> 0:13:54.520
<v Speaker 1>post where they announced that, look, you know where there

0:13:54.559 --> 0:13:58.960
<v Speaker 1>are all these traffic accidents, um cars, they're not driving efficiently,

0:13:59.000 --> 0:14:02.040
<v Speaker 1>and people are spending way too much time behind the wheel.

0:14:02.320 --> 0:14:05.000
<v Speaker 1>We can solve all three of these problems at once

0:14:06.000 --> 0:14:09.880
<v Speaker 1>if we create self driving cars, right, just take people

0:14:09.880 --> 0:14:13.520
<v Speaker 1>out of the equation and everything goes better because removing

0:14:13.600 --> 0:14:16.319
<v Speaker 1>quote the loose nut between the gas pedal and the

0:14:16.360 --> 0:14:20.400
<v Speaker 1>steering wheel. That's my favorite. That's my favorite joke. Mechanics. Yeah,

0:14:20.440 --> 0:14:22.480
<v Speaker 1>as as we talked about in the previous episodes, the

0:14:22.560 --> 0:14:25.520
<v Speaker 1>National Highway Traffic and Safety Administration estimates that more than

0:14:26.320 --> 0:14:29.160
<v Speaker 1>road crashes are due to human error. Yeah, I've seen

0:14:29.200 --> 0:14:35.400
<v Speaker 1>I've seen figures everywhere between that that's huge. Like if

0:14:35.400 --> 0:14:39.960
<v Speaker 1>you could remove that then you would significantly decrease the

0:14:40.040 --> 0:14:44.520
<v Speaker 1>number of injuries and deaths, perhaps terribly upset the car

0:14:44.560 --> 0:14:48.600
<v Speaker 1>insurance industry, but which you know, that's okay. Uh. You

0:14:48.680 --> 0:14:52.600
<v Speaker 1>also have efficiency to consider. Machine drivers are going to

0:14:52.640 --> 0:14:55.480
<v Speaker 1>be way more efficient than human drivers because they have

0:14:55.600 --> 0:14:59.160
<v Speaker 1>like established rules that govern when they gas and break,

0:15:00.240 --> 0:15:02.720
<v Speaker 1>especially once you set up a network of these things

0:15:02.720 --> 0:15:05.400
<v Speaker 1>and these at times cars start working together to clear

0:15:05.400 --> 0:15:09.440
<v Speaker 1>out traffic exactly. Yeah. In two thousand twelve UM and

0:15:09.600 --> 0:15:15.480
<v Speaker 1>I Trip Police study, they they estimated that they think

0:15:16.560 --> 0:15:19.960
<v Speaker 1>a highway filled entirely with autonomous cars instead of with

0:15:20.040 --> 0:15:23.760
<v Speaker 1>human driven cars, can increase the capacity of that highway

0:15:23.880 --> 0:15:28.120
<v Speaker 1>five times. Um. Yeah. Now, now we just have to

0:15:28.800 --> 0:15:30.680
<v Speaker 1>get to the point where we don't need jobs anymore,

0:15:30.680 --> 0:15:32.360
<v Speaker 1>and then we'll just stay at home in our cars

0:15:32.360 --> 0:15:35.880
<v Speaker 1>will drive everywhere for us for no reason. Perfect. Uh. Yeah,

0:15:35.920 --> 0:15:38.120
<v Speaker 1>you know what's interesting to me? Do you know what

0:15:38.160 --> 0:15:40.080
<v Speaker 1>they You know what the Google car uses as a

0:15:40.240 --> 0:15:43.200
<v Speaker 1>primary sensor, right? Is it light ar? Yeah? Have you

0:15:43.240 --> 0:15:47.640
<v Speaker 1>heard about this? Okay, So imagine the lasers l sixty

0:15:47.720 --> 0:15:52.480
<v Speaker 1>four lasers. That's not radar for detecting lies, Um, L

0:15:52.600 --> 0:15:55.560
<v Speaker 1>I D A R. Yes, it's it's sixty four lasers

0:15:55.760 --> 0:15:57.760
<v Speaker 1>all right. So imagine that you've got a pack of

0:15:57.840 --> 0:16:00.640
<v Speaker 1>sixty four lasers and a turret top of a car,

0:16:01.000 --> 0:16:03.920
<v Speaker 1>and that tour. It rotates at six centered revolutions per minute.

0:16:04.280 --> 0:16:07.720
<v Speaker 1>And what's doing is it's just constantly scanning its environment

0:16:07.800 --> 0:16:11.360
<v Speaker 1>so that it can detect minute changes as as it's

0:16:11.400 --> 0:16:15.640
<v Speaker 1>traveling through a space, so it knows not only what

0:16:15.840 --> 0:16:18.880
<v Speaker 1>stationary objects are nearby, it can track when things are

0:16:18.880 --> 0:16:23.160
<v Speaker 1>moving and then be able to plot against that. UM. Now, granted,

0:16:23.480 --> 0:16:26.080
<v Speaker 1>I think I think in every case that I've read,

0:16:26.680 --> 0:16:30.640
<v Speaker 1>Google only allows people who are using these cars to

0:16:30.680 --> 0:16:34.680
<v Speaker 1>operate them on highways. Once they pull off onto surface streets,

0:16:34.680 --> 0:16:38.720
<v Speaker 1>it has to go under manual control by Google's policy. UM.

0:16:38.800 --> 0:16:41.040
<v Speaker 1>And of course these are not cars that are allowed

0:16:41.160 --> 0:16:45.560
<v Speaker 1>outside of the realms of Google. But that is changing. Yeah,

0:16:45.560 --> 0:16:48.720
<v Speaker 1>I mean, what's what's interesting is that, you know, it

0:16:48.800 --> 0:16:51.520
<v Speaker 1>was two thousand ten when Google unveiled this, and there

0:16:51.520 --> 0:16:55.280
<v Speaker 1>weren't really any laws on the books that would allow

0:16:55.320 --> 0:16:58.080
<v Speaker 1>for autonomous cars. In fact, most of the laws in

0:16:58.320 --> 0:17:01.680
<v Speaker 1>the world specify that you have to have a driver

0:17:02.360 --> 0:17:05.680
<v Speaker 1>behind the wheel in control of the vehicle at all times.

0:17:05.880 --> 0:17:08.440
<v Speaker 1>But actually that is now changing, and in a few

0:17:08.480 --> 0:17:12.639
<v Speaker 1>places in the United States it's already changed. Right in California, Nevada,

0:17:12.680 --> 0:17:15.840
<v Speaker 1>and Florida, there have been laws passed that specifically allow

0:17:16.000 --> 0:17:18.840
<v Speaker 1>for the testing of autonomous cars. Nevada was the first

0:17:19.160 --> 0:17:22.240
<v Speaker 1>in in two thousand eleven, they passed Assembly Buill number

0:17:22.359 --> 0:17:26.040
<v Speaker 1>five eleven, And what that basically did was it allowed

0:17:26.200 --> 0:17:29.800
<v Speaker 1>the state Department of Transportation to revise their laws to

0:17:29.840 --> 0:17:33.680
<v Speaker 1>accommodate for autonomous cars. Now, in this case, there's still

0:17:34.400 --> 0:17:36.600
<v Speaker 1>has to be a driver behind the wheel, but the

0:17:36.680 --> 0:17:38.399
<v Speaker 1>driver does not have to be in control of the

0:17:38.480 --> 0:17:41.919
<v Speaker 1>vehicle at all times. Yeah. Um. And so Nevada actually

0:17:41.960 --> 0:17:44.600
<v Speaker 1>followed through with that and in two thousand twelve they

0:17:44.600 --> 0:17:48.440
<v Speaker 1>officially approved a license for autonomous cars. Yes, I saw

0:17:48.480 --> 0:17:51.399
<v Speaker 1>that May of two thousand twelve. I know that Florida,

0:17:52.600 --> 0:17:54.959
<v Speaker 1>Florida being one of the other states that allowed for

0:17:55.119 --> 0:17:59.560
<v Speaker 1>autonomous car testing. This is I honestly don't know the

0:17:59.600 --> 0:18:01.680
<v Speaker 1>reasoning behind this. I'm just gonna throw it out there

0:18:01.680 --> 0:18:03.719
<v Speaker 1>and see if you guys think it's realistic. Do you

0:18:03.800 --> 0:18:06.720
<v Speaker 1>think that it's possibly because of the aged population in

0:18:06.720 --> 0:18:10.320
<v Speaker 1>Florida that this was something that Florida was interested in. Well,

0:18:10.440 --> 0:18:12.800
<v Speaker 1>I don't know, but I mean I've read that a

0:18:12.800 --> 0:18:16.120
<v Speaker 1>lot of the reasoning behind autonomous cars is giving more

0:18:16.160 --> 0:18:18.680
<v Speaker 1>mobility to people, say who like don't see as well

0:18:18.720 --> 0:18:21.000
<v Speaker 1>as they used to, um, but would still like to

0:18:21.080 --> 0:18:23.760
<v Speaker 1>be able to have some independent movement around the city.

0:18:24.040 --> 0:18:27.280
<v Speaker 1>I would guess that that Disney might have something to

0:18:27.359 --> 0:18:31.040
<v Speaker 1>say about that as well. Automos cars are legal in

0:18:31.040 --> 0:18:33.760
<v Speaker 1>California and Florida. Those are the two places where Disney

0:18:33.760 --> 0:18:37.200
<v Speaker 1>parks are in the United States. So um, Google is

0:18:37.200 --> 0:18:40.960
<v Speaker 1>also in California. So collusion is a little is a little,

0:18:41.160 --> 0:18:43.920
<v Speaker 1>a little on the flimsy side. Uh. So that's where

0:18:43.960 --> 0:18:46.000
<v Speaker 1>it is so far. I believe d C also, I

0:18:46.040 --> 0:18:49.040
<v Speaker 1>think has been working on this, but now um, there

0:18:49.040 --> 0:18:52.840
<v Speaker 1>are a bunch of states that are starting to considering it. Yeah,

0:18:52.960 --> 0:18:55.840
<v Speaker 1>and the federal government is kind of saying you know,

0:18:55.880 --> 0:18:57.719
<v Speaker 1>of course, in the United States, for those who are

0:18:57.760 --> 0:18:59.560
<v Speaker 1>not in the United States, we have state governments and

0:18:59.600 --> 0:19:02.760
<v Speaker 1>we have the federal government. The federal government has been

0:19:02.800 --> 0:19:04.800
<v Speaker 1>on record as saying, guys, you might want to slow

0:19:04.840 --> 0:19:06.960
<v Speaker 1>down a little bit before you start passing all this

0:19:07.080 --> 0:19:11.040
<v Speaker 1>legislation on the state by state basis, simply because we

0:19:11.119 --> 0:19:15.320
<v Speaker 1>don't have enough data here to be able to legislate responsibly.

0:19:15.480 --> 0:19:18.960
<v Speaker 1>Whereas the technology companies are saying, look, all the data

0:19:19.000 --> 0:19:21.520
<v Speaker 1>that's coming back is showing that this is way safer

0:19:21.560 --> 0:19:24.919
<v Speaker 1>than the alternative. So right, a report published by the

0:19:24.920 --> 0:19:28.160
<v Speaker 1>Insurance Institute for Highway Safety, which which is a nonprofit

0:19:28.200 --> 0:19:31.560
<v Speaker 1>although it is funded by the American auto industry um

0:19:31.840 --> 0:19:35.520
<v Speaker 1>and said that collision warning and breaking systems are already

0:19:35.520 --> 0:19:39.399
<v Speaker 1>helping drivers avoid accidents. Um that that statistically, if you

0:19:39.440 --> 0:19:41.000
<v Speaker 1>were drive, if you are in a car that has

0:19:41.040 --> 0:19:43.680
<v Speaker 1>these systems, you are less likely to be in an accident. Yeah.

0:19:43.760 --> 0:19:46.280
<v Speaker 1>And also it's good to keep in mind that typically

0:19:46.359 --> 0:19:50.119
<v Speaker 1>these laws, uh, they sort of unveil these new motor

0:19:50.200 --> 0:19:53.240
<v Speaker 1>rights in different stages, so they're opened on private roads

0:19:53.280 --> 0:19:56.199
<v Speaker 1>before they are on public roads, right, Um. And I

0:19:56.200 --> 0:19:59.360
<v Speaker 1>guess that's to allow for testing. And and it's it's

0:19:59.359 --> 0:20:01.800
<v Speaker 1>not just Google Old that's getting into this game. Actually,

0:20:01.840 --> 0:20:04.520
<v Speaker 1>there are quite a few companies that are all investing

0:20:04.720 --> 0:20:11.879
<v Speaker 1>in their own automated car technology. Toyota is another one,

0:20:12.359 --> 0:20:17.720
<v Speaker 1>BMW four GM, Volvo, Audi, Mercedes, Benz, Nissan, Right, right, Toyota. Yeah,

0:20:17.760 --> 0:20:20.200
<v Speaker 1>all of these have at least in the testing stages

0:20:20.600 --> 0:20:22.639
<v Speaker 1>various forms of these things, and a lot of them

0:20:22.640 --> 0:20:24.359
<v Speaker 1>are saying that within the next ten years they're going

0:20:24.400 --> 0:20:27.439
<v Speaker 1>to be rolling out, if not fully automated cars at

0:20:27.520 --> 0:20:32.119
<v Speaker 1>least um auto assist cars with more, because again, this

0:20:32.280 --> 0:20:34.359
<v Speaker 1>may be one of those things where because of the

0:20:34.480 --> 0:20:37.840
<v Speaker 1>legislative barriers, there may be some time that we'll have

0:20:37.880 --> 0:20:42.000
<v Speaker 1>to wait to see automated cars being available for the

0:20:42.040 --> 0:20:46.280
<v Speaker 1>average consumer. I'm sure they'll be prohibitively expensive for most

0:20:46.280 --> 0:20:48.400
<v Speaker 1>people when they first when they first hit the roads

0:20:48.440 --> 0:20:50.840
<v Speaker 1>as well, But I think it's gonna be. I think

0:20:50.840 --> 0:20:53.080
<v Speaker 1>it's gonna be a few years just because of the

0:20:53.160 --> 0:20:56.800
<v Speaker 1>legislative side. But we will still benefit from that technology

0:20:56.840 --> 0:21:01.120
<v Speaker 1>in other ways, with more more advanced cry prevention systems,

0:21:01.160 --> 0:21:04.040
<v Speaker 1>parking assistance, that kind of stuff. Yeah, speaking to the price,

0:21:04.280 --> 0:21:07.200
<v Speaker 1>I believe right now an autonomous car is running about

0:21:07.240 --> 0:21:10.560
<v Speaker 1>a hundred and fifty thou dollars. Yea. I saw one

0:21:10.560 --> 0:21:14.560
<v Speaker 1>guy say that that there's always the possibility that before

0:21:14.640 --> 0:21:19.560
<v Speaker 1>we see fully autonomous cars rolling off the manufacturing plants

0:21:19.560 --> 0:21:21.800
<v Speaker 1>out of all these these companies, that we may see

0:21:21.920 --> 0:21:25.119
<v Speaker 1>aftermarket kits where you can convert a car over to

0:21:25.200 --> 0:21:27.359
<v Speaker 1>an autonomous vehicle. But even that would be in the

0:21:27.440 --> 0:21:31.560
<v Speaker 1>hundred dozen dollar range, so still not cheap. Sure, Yeah,

0:21:31.600 --> 0:21:34.240
<v Speaker 1>And you know the kinds of companies that are putting

0:21:34.240 --> 0:21:36.520
<v Speaker 1>out things that you can buy right now that are

0:21:36.560 --> 0:21:40.080
<v Speaker 1>partially autonomous are like Mercedes Benz, which has a radar

0:21:40.119 --> 0:21:43.679
<v Speaker 1>and stereoscopic cameras that will help you determine, you know,

0:21:43.920 --> 0:21:46.880
<v Speaker 1>help your car determine the speed of traffic around you

0:21:47.280 --> 0:21:49.800
<v Speaker 1>and also your position within a lane and keep you

0:21:49.840 --> 0:21:52.600
<v Speaker 1>there up to speeds of about eighteen miles per hour. Yeah,

0:21:52.600 --> 0:21:55.680
<v Speaker 1>and I think, uh GM, they've said that they're they're

0:21:55.720 --> 0:21:59.680
<v Speaker 1>going to have partially autonomous cadillacs by well, we'll see.

0:21:59.720 --> 0:22:03.040
<v Speaker 1>That's really close. Yeah, yeah, yeah, and partially autonomous. I

0:22:03.080 --> 0:22:05.359
<v Speaker 1>mean that's vague enough where you could argue that there

0:22:05.400 --> 0:22:07.479
<v Speaker 1>are cars on the market right now that have that

0:22:08.200 --> 0:22:10.760
<v Speaker 1>one of the upcoming systems and that I'm excited about.

0:22:10.800 --> 0:22:13.360
<v Speaker 1>And and another another sponsor plug, This one is from Toyota.

0:22:13.680 --> 0:22:17.600
<v Speaker 1>UM is a cooperative adaptive cruise control, part of which

0:22:17.880 --> 0:22:22.040
<v Speaker 1>uses transceivers to broadcast speed, acceleration, and breaking in between

0:22:22.280 --> 0:22:24.240
<v Speaker 1>different cars on the road, so that way you can

0:22:24.280 --> 0:22:27.320
<v Speaker 1>maintain the proper vehicle distance between you and the car

0:22:27.359 --> 0:22:29.640
<v Speaker 1>in front of you. That kind of thing, right with

0:22:29.680 --> 0:22:34.160
<v Speaker 1>something a little bit more interactive than just the the lasers.

0:22:34.280 --> 0:22:37.399
<v Speaker 1>The receptors that are that are figuring out what's going

0:22:37.480 --> 0:22:40.480
<v Speaker 1>on more than just an alarm or something on those lines. Yeah.

0:22:40.520 --> 0:22:44.399
<v Speaker 1>In fact, um M I T had a great little

0:22:44.720 --> 0:22:48.000
<v Speaker 1>post about some recent research that came out of the

0:22:48.040 --> 0:22:52.680
<v Speaker 1>Google experiments. A. Google has been running these these cars

0:22:52.720 --> 0:22:55.919
<v Speaker 1>for something like over three hundred thousand miles accumulatively. If

0:22:55.960 --> 0:22:58.480
<v Speaker 1>you had them all up together, it's like three miles

0:22:58.280 --> 0:23:02.800
<v Speaker 1>of travel time. They've had one accident, and according to

0:23:03.040 --> 0:23:06.000
<v Speaker 1>according to Google, that was done while the car was

0:23:06.080 --> 0:23:09.680
<v Speaker 1>under manual control, not under computer control. So I think

0:23:09.720 --> 0:23:13.080
<v Speaker 1>they also got rear ended ones. Yeah, but the when

0:23:13.119 --> 0:23:15.199
<v Speaker 1>they took the black box readings, because a lot of

0:23:15.240 --> 0:23:20.320
<v Speaker 1>what is going into these autonomous cars is also a

0:23:20.480 --> 0:23:24.760
<v Speaker 1>very intricate um recording system for everything that's going on

0:23:24.800 --> 0:23:26.240
<v Speaker 1>in the car. I mean, you know, they are in

0:23:26.280 --> 0:23:29.360
<v Speaker 1>the testing stages, so of course that data is very valuable. Um.

0:23:29.400 --> 0:23:33.399
<v Speaker 1>But it proved that the autonomous car breaked appropriately and

0:23:33.440 --> 0:23:35.480
<v Speaker 1>that the guy behind him that rear ended him was

0:23:35.560 --> 0:23:39.680
<v Speaker 1>not paying attention and just just just hit him because

0:23:39.680 --> 0:23:41.760
<v Speaker 1>because the car did exactly what was supposed to do. Yeah,

0:23:41.840 --> 0:23:43.560
<v Speaker 1>a lot of this research that's going on right now

0:23:43.600 --> 0:23:46.639
<v Speaker 1>is about how to manage the interface between humans and computers,

0:23:46.920 --> 0:23:49.240
<v Speaker 1>and you know where a human should take over, where

0:23:49.240 --> 0:23:52.200
<v Speaker 1>a computer should take over, what specialties both of these

0:23:52.240 --> 0:23:55.560
<v Speaker 1>operators can have. And some of the questions being posed

0:23:56.080 --> 0:23:59.920
<v Speaker 1>are about, you know, whether or not reckless driving behavior

0:24:00.240 --> 0:24:03.880
<v Speaker 1>is actually really important in some situations. You know, whether

0:24:03.960 --> 0:24:06.639
<v Speaker 1>or not a computer could handle a situation wherein you

0:24:06.720 --> 0:24:08.719
<v Speaker 1>kind of need to go over a line, or you

0:24:08.760 --> 0:24:10.880
<v Speaker 1>need to speed up or slow down at a at

0:24:10.880 --> 0:24:13.400
<v Speaker 1>a rate of speed that isn't otherwise advisable, or break

0:24:13.440 --> 0:24:16.040
<v Speaker 1>a traffic law. Now, it does seem that for the

0:24:16.080 --> 0:24:19.520
<v Speaker 1>most part, the uh, the autonomous cars are able to

0:24:19.560 --> 0:24:23.840
<v Speaker 1>respond much much faster than any human could, in a

0:24:24.480 --> 0:24:28.560
<v Speaker 1>more smooth transition than humans. However, that's that's based upon

0:24:28.600 --> 0:24:31.119
<v Speaker 1>a certain set of rules. Well, yeah, and and assuming

0:24:31.160 --> 0:24:34.639
<v Speaker 1>that everyone is in an autonomous car, that's fine. But

0:24:34.760 --> 0:24:37.280
<v Speaker 1>when you are the one person in an autonomous car

0:24:37.320 --> 0:24:39.560
<v Speaker 1>and you're driving in a town full of crazy people

0:24:40.119 --> 0:24:43.560
<v Speaker 1>like go on no Atlanta, then maybe that your car

0:24:43.680 --> 0:24:46.199
<v Speaker 1>is doing everything that's right, but you know, it may

0:24:46.240 --> 0:24:48.480
<v Speaker 1>still not save you from a crash. Of course, we

0:24:48.560 --> 0:24:51.720
<v Speaker 1>can't plan for everybody's behavior, obviously, you can only do

0:24:51.760 --> 0:24:54.280
<v Speaker 1>the best you can. One of the other interesting things

0:24:54.320 --> 0:24:57.879
<v Speaker 1>from that m I T post was that the data

0:24:58.000 --> 0:25:01.040
<v Speaker 1>shows that automated car spin time and what they called

0:25:01.200 --> 0:25:05.920
<v Speaker 1>near collision states, meaning that that that's how you usually drive.

0:25:07.320 --> 0:25:09.680
<v Speaker 1>I don't drive at all, so so that makes it easy.

0:25:10.000 --> 0:25:12.560
<v Speaker 1>Uh yeah, but ner if I were to drive, I'd

0:25:12.600 --> 0:25:15.639
<v Speaker 1>be in a constant near collision state. And some might

0:25:15.720 --> 0:25:18.240
<v Speaker 1>argue that Georgia is a near collision state, but the

0:25:18.640 --> 0:25:21.040
<v Speaker 1>you know, the the actual definition there is when you

0:25:21.080 --> 0:25:24.240
<v Speaker 1>are engaging in behaviors that are more likely to cause

0:25:24.240 --> 0:25:27.280
<v Speaker 1>the collision, things like accelerating too quickly, breaking too quickly,

0:25:27.560 --> 0:25:31.200
<v Speaker 1>following too close, following much too closely. In the automated cars,

0:25:31.240 --> 0:25:34.000
<v Speaker 1>because you set up these very specific rules for them

0:25:34.000 --> 0:25:37.680
<v Speaker 1>to follow, they have to follow those rules, so they

0:25:37.720 --> 0:25:41.399
<v Speaker 1>tend to operate within much safer parameters than your typical

0:25:41.480 --> 0:25:43.959
<v Speaker 1>driver would. Though also I've read if if you were

0:25:44.000 --> 0:25:47.960
<v Speaker 1>to imagine entirely automated highway, those cars can follow much

0:25:48.080 --> 0:25:52.400
<v Speaker 1>more closely, much more safely, if you were able if

0:25:52.440 --> 0:25:54.760
<v Speaker 1>everyone were automated, Like if if either of these we

0:25:54.840 --> 0:25:56.919
<v Speaker 1>have that infrastructure and all the cars are talking to

0:25:56.960 --> 0:25:59.359
<v Speaker 1>one another, then the theoretically you could do that and

0:25:59.400 --> 0:26:03.120
<v Speaker 1>also ours behind you know, larger vehicles would even benefit

0:26:03.119 --> 0:26:05.680
<v Speaker 1>from drafting at the point you're talking about saving a fuel,

0:26:06.240 --> 0:26:10.080
<v Speaker 1>But you know that's building out an infrastructure is is

0:26:11.040 --> 0:26:14.480
<v Speaker 1>really really hard, and uh, I think I think we'll

0:26:14.520 --> 0:26:19.360
<v Speaker 1>see automated cars before we see automated infrastructures on a

0:26:19.359 --> 0:26:24.040
<v Speaker 1>wide scale basis. Though, an interesting thing about the most

0:26:24.080 --> 0:26:27.600
<v Speaker 1>recent developments and automated cars is they might not depend

0:26:27.680 --> 0:26:31.080
<v Speaker 1>on that much infrastructure like we used to imagine that. Well,

0:26:31.400 --> 0:26:34.320
<v Speaker 1>in order to really have automated highways, you need like

0:26:34.520 --> 0:26:38.320
<v Speaker 1>you know, computers in the roads that control everything, right,

0:26:38.359 --> 0:26:42.080
<v Speaker 1>But we're creating fleets of automated cars today that do

0:26:42.119 --> 0:26:45.600
<v Speaker 1>you just find simply by reacting to each other, right,

0:26:45.640 --> 0:26:48.640
<v Speaker 1>and or through differential GPS systems so that they're paying

0:26:48.640 --> 0:26:51.679
<v Speaker 1>attention to to not only your position via satellite, but

0:26:51.800 --> 0:26:54.480
<v Speaker 1>via markers in the road. Right. Like I said, I think,

0:26:54.560 --> 0:26:57.040
<v Speaker 1>I think there are a couple of different barriers that

0:26:57.080 --> 0:26:59.320
<v Speaker 1>we have to get over for automated cars to become

0:26:59.359 --> 0:27:02.920
<v Speaker 1>a reality for the average consumer. The big one being legislative,

0:27:02.960 --> 0:27:04.720
<v Speaker 1>because I think it is going to take a lot

0:27:04.800 --> 0:27:08.240
<v Speaker 1>of work to get to a point where automated cars

0:27:08.400 --> 0:27:12.760
<v Speaker 1>have a legal designation that is recognized, not just within

0:27:12.800 --> 0:27:16.920
<v Speaker 1>a state, but between states and within between countries even

0:27:17.400 --> 0:27:20.359
<v Speaker 1>for them to be a viable form of transportation, I think.

0:27:20.400 --> 0:27:21.880
<v Speaker 1>I think the thing that's going to help with that

0:27:22.080 --> 0:27:24.320
<v Speaker 1>is is the parallel to all of this, where in

0:27:24.359 --> 0:27:28.280
<v Speaker 1>insurance companies are providing black boxes as an opt in

0:27:28.400 --> 0:27:30.920
<v Speaker 1>option for opt in option, that was a really great

0:27:30.960 --> 0:27:34.280
<v Speaker 1>turn of phrase for for for their drivers to potentially

0:27:34.520 --> 0:27:38.240
<v Speaker 1>get a lower rate on their car insurance. And not

0:27:38.480 --> 0:27:41.200
<v Speaker 1>many people, but maybe like about a third of people

0:27:41.240 --> 0:27:43.280
<v Speaker 1>I supposedly are signing up for these things, and so

0:27:43.320 --> 0:27:46.399
<v Speaker 1>they're starting to gather data on driving habits a lot more.

0:27:46.640 --> 0:27:49.320
<v Speaker 1>On top of that, the other barrier I would say

0:27:49.600 --> 0:27:52.760
<v Speaker 1>is we've seen this happen a lot in various networks,

0:27:52.840 --> 0:27:56.640
<v Speaker 1>right where you get a proprietary network where other networks

0:27:56.680 --> 0:28:00.760
<v Speaker 1>can't necessarily communicate with it. So, for example, we talked

0:28:00.800 --> 0:28:03.240
<v Speaker 1>about an automated house, and right now, you can do

0:28:03.280 --> 0:28:06.160
<v Speaker 1>a lot of automation at home. But the easiest way

0:28:06.160 --> 0:28:08.600
<v Speaker 1>of doing that is to buy all your stuff from

0:28:08.640 --> 0:28:12.040
<v Speaker 1>one source, because buying it from multiple sources means you

0:28:12.040 --> 0:28:14.280
<v Speaker 1>have to find some way of making them communicate with

0:28:14.320 --> 0:28:16.439
<v Speaker 1>each other. Sure, however, if you have for example, and

0:28:16.680 --> 0:28:19.959
<v Speaker 1>UM Apple TV and also an iPhone and also right,

0:28:19.960 --> 0:28:22.639
<v Speaker 1>if you're all within one ecosystem, you're great, but if

0:28:22.680 --> 0:28:25.440
<v Speaker 1>you're not. If you're if your ecosystem is not homogeneous,

0:28:25.440 --> 0:28:28.800
<v Speaker 1>then you're in trouble. Well, as we know, traffic is

0:28:28.800 --> 0:28:32.000
<v Speaker 1>not a homogeneous situation. People have all sorts of different

0:28:32.040 --> 0:28:34.879
<v Speaker 1>cars out there from different models, models and different makers.

0:28:34.880 --> 0:28:38.800
<v Speaker 1>So unless we were to have an agreed upon SEV

0:28:38.920 --> 0:28:42.040
<v Speaker 1>standards that all vehicles were using in order for their

0:28:42.520 --> 0:28:47.160
<v Speaker 1>UH information to communicate properly, then you have potentially a

0:28:47.160 --> 0:28:49.560
<v Speaker 1>fleet of cars that doesn't really communicate with each other

0:28:49.640 --> 0:28:52.360
<v Speaker 1>very well. That they need to all speak the same language.

0:28:52.400 --> 0:28:55.880
<v Speaker 1>And um, that's something that maybe has yet to be devised.

0:28:55.880 --> 0:28:58.400
<v Speaker 1>In fact, I think we talked in our previous podcast

0:28:58.440 --> 0:29:00.760
<v Speaker 1>about this about maybe the need for something like a

0:29:00.800 --> 0:29:04.040
<v Speaker 1>traffic protocol. Yeah, yes, yeah, And it's one of those

0:29:04.040 --> 0:29:06.560
<v Speaker 1>things where you you need either there needs to either

0:29:06.600 --> 0:29:08.520
<v Speaker 1>be a leader in the space and everyone ends up

0:29:08.560 --> 0:29:12.040
<v Speaker 1>following suit because they just they've defined it, or there

0:29:12.040 --> 0:29:15.360
<v Speaker 1>needs to be some sort of regulation. Yeah. Like like

0:29:15.440 --> 0:29:17.600
<v Speaker 1>and where did i P camp come from? Oh, well,

0:29:17.600 --> 0:29:19.480
<v Speaker 1>that came out of our bonette, So that was like

0:29:19.520 --> 0:29:22.480
<v Speaker 1>a public initiative that created the protocol that all of

0:29:22.520 --> 0:29:25.480
<v Speaker 1>the private organizations would end up using. Right, so you

0:29:25.480 --> 0:29:28.600
<v Speaker 1>could get it some form of independent entity like maybe

0:29:28.600 --> 0:29:31.560
<v Speaker 1>even the I E. Being able to come up and

0:29:31.960 --> 0:29:33.840
<v Speaker 1>you know, a group of engineers that come up with

0:29:33.920 --> 0:29:37.600
<v Speaker 1>a A a standard language that would be used. But

0:29:37.680 --> 0:29:39.720
<v Speaker 1>I mean, all of this is jumping way ahead. We

0:29:39.840 --> 0:29:43.760
<v Speaker 1>still aren't entirely sure when we'll see these cars um

0:29:43.880 --> 0:29:48.200
<v Speaker 1>become something that we could actually purchase. To mention i E. Again,

0:29:48.920 --> 0:29:53.440
<v Speaker 1>they predicted it also last year that in their view,

0:29:53.520 --> 0:29:58.600
<v Speaker 1>by of cars on the road will be autonomous. That'll

0:29:58.640 --> 0:30:02.520
<v Speaker 1>be how that's a that's bold. I would love that

0:30:02.600 --> 0:30:07.200
<v Speaker 1>future so much. Just I'm imagining how traffic would become

0:30:07.880 --> 0:30:12.040
<v Speaker 1>such uh so much more smooth. Studies showed the young

0:30:12.080 --> 0:30:16.680
<v Speaker 1>people like this idea. It's more popular more. I'm liking

0:30:16.720 --> 0:30:20.320
<v Speaker 1>it even more now. Uh well, young young people are

0:30:20.360 --> 0:30:23.440
<v Speaker 1>certainly the ones who are most likely to pick up

0:30:23.480 --> 0:30:26.200
<v Speaker 1>these black boxes from their insurance companies. So I so

0:30:26.280 --> 0:30:29.800
<v Speaker 1>I guess that would that would make perfect sense. Yeah,

0:30:30.200 --> 0:30:31.880
<v Speaker 1>But I mean I think I like it the most

0:30:31.960 --> 0:30:35.160
<v Speaker 1>because I don't drive, So for me having something like

0:30:35.200 --> 0:30:38.520
<v Speaker 1>this where maybe I do, you know, drive occasionally, but

0:30:38.640 --> 0:30:40.440
<v Speaker 1>I have a vehicle that does most of my driving

0:30:40.480 --> 0:30:43.920
<v Speaker 1>for me would give me uh even more freedom, or

0:30:44.040 --> 0:30:47.320
<v Speaker 1>more importantly, would mean my wife is no longer my chauffeur.

0:30:47.680 --> 0:30:50.200
<v Speaker 1>Oh sure, And as we talked about in that previous episode,

0:30:50.240 --> 0:30:53.960
<v Speaker 1>it would certainly open doors to people who are who

0:30:54.000 --> 0:30:58.720
<v Speaker 1>are unable to drive for various physical health sure yeah

0:30:58.880 --> 0:31:01.600
<v Speaker 1>or not health. But I remember I do. I did

0:31:01.640 --> 0:31:05.480
<v Speaker 1>read one thing from uh M I T Professor John Leonard,

0:31:05.800 --> 0:31:09.360
<v Speaker 1>who has worked on navigation systems for autonomous cars, who

0:31:09.400 --> 0:31:12.440
<v Speaker 1>said he doesn't believe we'll see a totally autonomous taxi

0:31:12.520 --> 0:31:15.200
<v Speaker 1>service within his lifetime. He doesn't think that's ever going

0:31:15.240 --> 0:31:18.760
<v Speaker 1>to happen while he's still uh, you know, walking treading

0:31:18.760 --> 0:31:22.280
<v Speaker 1>the earth so uh, and he's he's working on the problem.

0:31:22.360 --> 0:31:25.959
<v Speaker 1>And it's not again, it's not just a technological thing.

0:31:26.000 --> 0:31:28.360
<v Speaker 1>It's also a social thing. And that was kind of

0:31:28.360 --> 0:31:31.760
<v Speaker 1>what he was pointing out, that that taxi drivers um

0:31:32.000 --> 0:31:36.560
<v Speaker 1>provide an important role in society, particularly if they are

0:31:36.600 --> 0:31:40.440
<v Speaker 1>efficient and nice. Uh. He was talking about this about Manhattan,

0:31:40.480 --> 0:31:42.600
<v Speaker 1>but said, really, I mean more of the European style

0:31:42.720 --> 0:31:46.680
<v Speaker 1>taxi drivers. I was about to say, alright, so I

0:31:46.720 --> 0:31:49.520
<v Speaker 1>think I think we're good on self driving cars for

0:31:49.520 --> 0:31:51.960
<v Speaker 1>the near future. Of course, I say that probably tomorrow

0:31:51.960 --> 0:31:54.320
<v Speaker 1>there'll be some breaking news they'll necessitate us to do

0:31:54.360 --> 0:31:56.800
<v Speaker 1>a whole new podcast. But that's okay because I love

0:31:56.840 --> 0:31:59.480
<v Speaker 1>this topic. So guys, make sure you go to FW

0:31:59.600 --> 0:32:01.760
<v Speaker 1>thinking dot com. That is our homepage where you can

0:32:01.800 --> 0:32:06.480
<v Speaker 1>find the blog posts, podcasts, videos, articles, all sorts of

0:32:06.520 --> 0:32:09.240
<v Speaker 1>cool information about the future. Go check that out, and

0:32:09.280 --> 0:32:11.680
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0:32:11.680 --> 0:32:14.280
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0:32:14.320 --> 0:32:21.080
<v Speaker 1>again really soon. For more on this topic in the

0:32:21.120 --> 0:32:35.200
<v Speaker 1>future of technology, visit forward thinking dot com brought to

0:32:35.240 --> 0:32:37.640
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