WEBVTT - What’s In Store With Self-Driving Cars

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<v Speaker 1>Pushkin. Welcome back to Risky Business, a show about making

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<v Speaker 1>better decisions. I'm Maria Kanakova.

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<v Speaker 2>And I'm Nate Silver today on the show, Maria, have

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<v Speaker 2>you ever taken a way Moo or another autonomous vehicle?

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<v Speaker 1>I have, not, Nate, but I know, I know, I know,

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<v Speaker 1>I know that you have. We've talked about that before.

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<v Speaker 1>But yeah, we'll be talking more in depth about kind

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<v Speaker 1>of the whole autonomous vehicle future, the risks, the rewards,

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<v Speaker 1>what's good, what's bad, how we should think about it,

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<v Speaker 1>how we should evaluate it. I think there are lots

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<v Speaker 1>of questions here and lots of things to think about

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<v Speaker 1>as we kind of figure out the future of driving.

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<v Speaker 2>We got a little risk, we got a little psychology,

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<v Speaker 2>we got a little algorithm TLIC.

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<v Speaker 3>It's gonna be a good episode, Maria.

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<v Speaker 1>So, Nate, you told me about some amazing experiences that

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<v Speaker 1>you've had using waymos in San Francisco.

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<v Speaker 3>Yeah. No, I uh.

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<v Speaker 2>The first time I took a WEEIMO, I was actually

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<v Speaker 2>at a meeting with Manifold, which is a prediction market company,

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<v Speaker 2>just shooting the shit. I'm friendly with those guys, and

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<v Speaker 2>they're like, we're gonna hail you Awaimo back to your

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<v Speaker 2>hotel in San Francisco, and I'm like, okay, this seems

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<v Speaker 2>kind of stupid, right, I don't know, we're afraid, and

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<v Speaker 2>like it was fucking it felt like the fucking future.

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<v Speaker 3>Right.

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<v Speaker 2>You get in there, there's no driver, there's like space

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<v Speaker 2>age music playing, and like San Francisco is like not

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<v Speaker 2>a particularly easy city to navigate. There's a lot of traffic,

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<v Speaker 2>there's lots of hills. I wouldn't call SF the most.

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<v Speaker 3>Traffic obedient place. Probably better than like Boston or something. Right, Oh,

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<v Speaker 3>I don't think.

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<v Speaker 1>Anything is worse than Boston when it comes to.

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<v Speaker 3>You know, my dad had like it.

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<v Speaker 2>We lived briefly in Boston for a year, and like

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<v Speaker 2>he got a falsely accused and like being in a

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<v Speaker 2>car accident. There's a Brian Q Silver and he was

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<v Speaker 2>Brian D Silver. Anyway, we'll leave it aside family lore.

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<v Speaker 3>Brian Q Silver, Fuck you, Brian Q Silver. He fucking

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<v Speaker 3>my dad's credit reading.

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<v Speaker 1>Oh my god, No, that's I mean, this is a

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<v Speaker 1>fun like this is a hilarious side of family lore,

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<v Speaker 1>but like this is actually a consideration when it comes

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<v Speaker 1>to self driving cars versus human driving cars.

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<v Speaker 2>No, it felt like the fucking future, right, and like it,

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<v Speaker 2>like I would say, and by the way, there's also

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<v Speaker 2>like lots of let's be honest, especially a couple of

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<v Speaker 2>years ago, and this happened a lot of vagrancy, homeless people,

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<v Speaker 2>sketchy people in downtown San Francisco, right, So like you're

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<v Speaker 2>dealing with an unpredictable element that might not be programmed

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<v Speaker 2>into some baseline model of like how driving is supposed

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<v Speaker 2>to work. But now the WAIMA did like a very

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<v Speaker 2>very good job. It's very smooth with the acceleration and

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<v Speaker 2>the deceleration. It's a little bit a little bit nitty

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<v Speaker 2>about following traffic signals and things like that. I was

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<v Speaker 2>you would expect, but it did like lots of I

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<v Speaker 2>think fairly saying in rational things, right, like I was

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<v Speaker 2>staying at some slightly funky hotel and like it pulls

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<v Speaker 2>up on the opposite side of the hotel where it's

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<v Speaker 2>like safer to get out and not the officially recommended spot,

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<v Speaker 2>and like it just you know, it would be like

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<v Speaker 2>in the ninety seventh or ninety eighth percentile of Uber drivers,

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<v Speaker 2>I would say, you know, whether or.

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<v Speaker 3>Not you like the conversation, Yeah, go ahead.

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<v Speaker 1>I was gonna say, it's funny that you say they're nitty.

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<v Speaker 1>So I'm in Las Vegas right now, and Vegas is

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<v Speaker 1>rolling out a lot of autonomous vehicles, not just way Mos,

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<v Speaker 1>but what's the what's the other one called zekes There

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<v Speaker 1>we go zu zukes all right, So Vegas is rolling

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<v Speaker 1>out a lot of autonomous vehicles, including zekes here. So

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<v Speaker 1>when I came back for the NAPT the North American

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<v Speaker 1>Poker to Our last month, was the first time that

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<v Speaker 1>they had done really the full rollout already where you

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<v Speaker 1>can hail them, you know as Uber, Left, et cetera. Well,

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<v Speaker 1>actually I don't know if it's both Uber and Left. Anyway,

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<v Speaker 1>you can use ride sharing services with them, and they're

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<v Speaker 1>all over the streets. And I was trying to drive,

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<v Speaker 1>and I realized very early on, and this says something

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<v Speaker 1>about how close I like to you know, I sometimes

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<v Speaker 1>cut things a little bit close when it comes to

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<v Speaker 1>making it to places on time. I realized right away

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<v Speaker 1>that I did not want to be behind them. Basically,

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<v Speaker 1>if I saw them in my lane, I tried to

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<v Speaker 1>like get into a different lane because they would not

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<v Speaker 1>go a single mile above the speed limit. They would

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<v Speaker 1>stop like and sometimes get a little bit, you know, confused.

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<v Speaker 1>They were very nitty, very cautious drivers, and I was like,

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<v Speaker 1>come on, guys, you can go thirty seven in the

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<v Speaker 1>thirty five zone.

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<v Speaker 3>It's not going to kill you.

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<v Speaker 1>It's gonna be okay. But they wouldn't, and which was

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<v Speaker 1>really interesting. And I don't know if it's you know,

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<v Speaker 1>if it's this particular company, but they were definitely very

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<v Speaker 1>nitty drivers, which, by the way, is not necessarily a

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<v Speaker 1>bad thing, right, Like they were being they were being cautious,

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<v Speaker 1>they were being safe. But for me, I was like, okay,

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<v Speaker 1>I want to go slightly faster. Sorry, Las Vegas Police.

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<v Speaker 1>I never go more than a few miles above the

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<v Speaker 1>speed limit, I promise, But like I got stuck behind

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<v Speaker 1>them a few times, and like they wouldn't take some

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<v Speaker 1>turns at intersections which I think a human driver might

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<v Speaker 1>have taken. Probably it's a little bit safer, Like they

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<v Speaker 1>just really play it safe in those scenarios. But I

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<v Speaker 1>just want it to be like, Okay, you can go,

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<v Speaker 1>you have room, let's go, let's make that turn.

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<v Speaker 2>I mean, there are there are times when it's probably

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<v Speaker 2>I don't drive, actually I do bike sometimes, right, like

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<v Speaker 2>on the city bikes or whatever. Right, there are times

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<v Speaker 2>when violating traffic laws is probably safer. Yeah, you know

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<v Speaker 2>what I mean, like mile violations where or just on

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<v Speaker 2>the common sentence, so you're trying to yeah, I don't know.

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<v Speaker 3>I think that's really and that's more true in New

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<v Speaker 3>York than probably other locations. I would think.

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<v Speaker 1>Now, sometimes you do have to make these judgment calls

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<v Speaker 1>because sometimes like you will see something and in order

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<v Speaker 1>to be safer, like you will have to violate a

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<v Speaker 1>traffic rule. And that's I think one of these broader

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<v Speaker 1>you know, as we as we start talking about kind

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<v Speaker 1>of the broader risk reward and kind of how this

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<v Speaker 1>future looks, and you know what we think about autonomous vehicles,

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<v Speaker 1>I think that a lot of the questions do revolve around,

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<v Speaker 1>you know, how do you program the cars to actually

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<v Speaker 1>make these decisions, because you know, it's not It would

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<v Speaker 1>be one thing if we had this immediate transition right

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<v Speaker 1>where like you can just go like this snap of

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<v Speaker 1>the fingers and all of a sudden, all the cars

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<v Speaker 1>on the road are autonomous vehicles. That's very different from

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<v Speaker 1>having kind of multiple years of in between where you

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<v Speaker 1>have human drivers and autonomous vehicles and you know, more

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<v Speaker 1>human drivers than autonomous vehicles in all of these kind

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<v Speaker 1>of the transitional period, I think from a risk safety

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<v Speaker 1>standpoint and from making those types of trade offs is

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<v Speaker 1>probably going to be the most difficult to navigate because

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<v Speaker 1>you have to account not just for ideal driving and

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<v Speaker 1>what you're supposed to be doing, but what humans actually

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<v Speaker 1>do right, and the mistakes that humans make, and how

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<v Speaker 1>you share the road with humans, some of whom are

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<v Speaker 1>bad drivers, some of whom are impaired drivers, right, because

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<v Speaker 1>those risks don't suddenly magically go away. Now, it's kind

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<v Speaker 1>of you know, it's funny. We talk a lot about

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<v Speaker 1>poker and kind of ideal poker on this show. It's

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<v Speaker 1>kind of like, you know, if you have the GTO

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<v Speaker 1>cars right, but then you have all of these crazy

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<v Speaker 1>and different types of players on the road, and you

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<v Speaker 1>have to try to figure out like, sure, you have

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<v Speaker 1>to drive in a GTO way, but you also have

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<v Speaker 1>to make sure that you are optimizing for the fact

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<v Speaker 1>that you have, you know, these loose cannons and all

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<v Speaker 1>of these different elements that are still going to be

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<v Speaker 1>sharing the roads with you. And unless there's like this

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<v Speaker 1>huge thing where all of a sudden, the government's like,

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<v Speaker 1>we're going to pay you, you know, tons of money

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<v Speaker 1>to give up your car and use autonomous vehicles. Like

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<v Speaker 1>that transition, to me is going to be one of

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<v Speaker 1>the riskier parts of this whole equation.

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<v Speaker 3>Well, I assume that these.

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<v Speaker 2>Cars are programmed in like find if you call it,

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<v Speaker 2>like an exploitive strategy in poker, right, but as soon

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<v Speaker 2>they are at least doing some defensive driving, right. I

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<v Speaker 2>mean again, San Francisco not a place which is ideal

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<v Speaker 2>for traffic laws or anything else, really right, and they're

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<v Speaker 2>kind of training these real world environments.

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<v Speaker 3>I mean, look, I mean to back up a second, right, Like,

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<v Speaker 3>in general.

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<v Speaker 2>There's this critique that like AI driven systems are good

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<v Speaker 2>with simple manipulation tasks, so language, certain types of math, right,

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<v Speaker 2>certain types.

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<v Speaker 3>Of games when they're well trained.

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<v Speaker 2>I know we've talked in this program about how poker

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<v Speaker 2>if you're not training on poker specifically, might be an exception.

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<v Speaker 2>So it is kind of amazing that like that they're

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<v Speaker 2>as good as they are, right, But like, yeah, the

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<v Speaker 2>thing people are recognize is like the human drivers are

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<v Speaker 2>I have lots of problems, you know what I mean,

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<v Speaker 2>They're distracted I mean, I was just in where was

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<v Speaker 2>I was just in Florida, right, And like.

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<v Speaker 3>In Florida you can talk on your cell phone when

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<v Speaker 3>you're driving.

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<v Speaker 1>And like, oh my god, is that true night?

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<v Speaker 3>Oh my god, you do neither you nor there?

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<v Speaker 1>No, no, no, that's actually that's actually both here and there.

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<v Speaker 1>I don't remember if I've ever told our listeners, but

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<v Speaker 1>the one of the scariest experiences I've had in an

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<v Speaker 1>uber was in California. It was in LA. We were

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<v Speaker 1>stuck in traffic in the middle of you know, one

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<v Speaker 1>of these horrible LA freeways, and my driver was already

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<v Speaker 1>like exhibiting signs of strange behavior, and then he just

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<v Speaker 1>like stares intently at me in the rear view mirror

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<v Speaker 1>and says, do you believe in God?

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<v Speaker 3>That I was like, oh no, oh.

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<v Speaker 2>God, no, oh no.

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<v Speaker 1>Anyway, this is actually very Germane because that is one

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<v Speaker 1>of the things that I think self driving, the autonomous

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<v Speaker 1>vehicles definitely have a leg up on. You are not

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<v Speaker 1>going to have one of those do you believe in God?

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<v Speaker 1>Experiences that are going to make you want to immediately

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<v Speaker 1>get out of the car and we'll be back right

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<v Speaker 1>after this. So I think that one of to me,

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<v Speaker 1>one of the big good things about the future of

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<v Speaker 1>autonomous vehicles is the fact that you kind of sometimes

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<v Speaker 1>like this is evidence for when taking the human equation

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<v Speaker 1>out of it can be good. Right, You don't have

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<v Speaker 1>to like every time that I'm coming home, you know,

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<v Speaker 1>every time I'm going back to Brooklyn from JFK. When

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<v Speaker 1>I get back to New York, I end up taking

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<v Speaker 1>the taxi, but I get into arguments with the driver

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<v Speaker 1>every single time because inevitably they want to take the

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<v Speaker 1>Belt Parkway, which is never the best way to go.

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<v Speaker 1>You always get stuck in traffic, it's always horrible, but

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<v Speaker 1>they always want to do that, and we just get

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<v Speaker 1>into a back and forth. I'm like, no, I want

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<v Speaker 1>you to do this, and they're like, no, I'm gonna

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<v Speaker 1>do that. And with presumably with autonomous vehicles, you know,

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<v Speaker 1>a lot of this won't come up, right, they have

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<v Speaker 1>the roots and they will kind of they will, they will.

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<v Speaker 2>Do Yeah, I'm a little more sympathetic empirically, and I

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<v Speaker 2>don't drive, but my partner does and we drive decently

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<v Speaker 2>off the bike. Empirically, I think like when the GPS

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<v Speaker 2>says something that like you as an experienced driver in

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<v Speaker 2>that area.

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<v Speaker 3>Disagree with I think it's kind of fifty to fifty.

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<v Speaker 3>Who's right? Yeah and who isn't? You know what I mean?

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<v Speaker 2>From like little things like knowing, oh, this street is

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<v Speaker 2>closed when we used to live near Penn Station. Right,

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<v Speaker 2>there's a nixt game starting. You don't want to fucking

0:12:02.844 --> 0:12:05.684
<v Speaker 2>drive anywhere near Massion Square Garden when there's a next

0:12:05.684 --> 0:12:08.964
<v Speaker 2>game starting. Or I mean, look, obviously, if you're in

0:12:09.004 --> 0:12:12.204
<v Speaker 2>a new or a lift, then the estimate of when

0:12:12.244 --> 0:12:16.884
<v Speaker 2>you'll arrive at your destination is strongly biased toward optimism.

0:12:17.084 --> 0:12:18.404
<v Speaker 3>You know, this is why I want, like, I want

0:12:18.404 --> 0:12:21.964
<v Speaker 3>prediction Mark. We need polymarket nation, we can bet.

0:12:22.484 --> 0:12:25.564
<v Speaker 1>Yeah, we need psychology actually in this because I think

0:12:25.644 --> 0:12:29.244
<v Speaker 1>that I actually think that cars get this absolutely backwards,

0:12:29.484 --> 0:12:32.804
<v Speaker 1>because it's incredibly frustrating when you see, like you go

0:12:32.924 --> 0:12:35.604
<v Speaker 1>to order an uber a lift and it's like two

0:12:35.604 --> 0:12:38.084
<v Speaker 1>minutes and then it ends up being eight minutes because

0:12:38.124 --> 0:12:40.444
<v Speaker 1>they basically have lied to you and they know that

0:12:40.524 --> 0:12:41.804
<v Speaker 1>right away, and then they're like, oh, it's going to

0:12:41.844 --> 0:12:44.164
<v Speaker 1>take you, you know, ten minutes to get here, or this

0:12:44.204 --> 0:12:47.484
<v Speaker 1>traffic slow down is a fifteen minute slow down, whatever

0:12:47.524 --> 0:12:50.284
<v Speaker 1>it is, it's always optimistic right, And the way you

0:12:50.324 --> 0:12:53.324
<v Speaker 1>need to do it psychologically speaking is you want to

0:12:53.364 --> 0:12:57.564
<v Speaker 1>do the old underpromise over deliver, right. They should actually

0:12:57.644 --> 0:13:01.324
<v Speaker 1>know that this is statistically speaking, you're probably going to

0:13:01.364 --> 0:13:03.644
<v Speaker 1>be at the other side of the distribution. So instead,

0:13:03.724 --> 0:13:06.444
<v Speaker 1>let me say you know that your uber is coming

0:13:06.484 --> 0:13:08.844
<v Speaker 1>in eight minutes, and then when it arrives in four minutes,

0:13:08.884 --> 0:13:11.644
<v Speaker 1>you'll be happy instead of frustrating. Let me tell you

0:13:11.684 --> 0:13:14.284
<v Speaker 1>that the slowdown is going to be twenty five minutes,

0:13:14.324 --> 0:13:16.244
<v Speaker 1>and then when it's over in twenty minutes, you're gonna

0:13:16.244 --> 0:13:17.724
<v Speaker 1>be like, oh my god, it was much shorter.

0:13:18.124 --> 0:13:18.804
<v Speaker 3>This is great.

0:13:18.924 --> 0:13:21.644
<v Speaker 1>So I actually think that psychologically they get this totally wrong.

0:13:21.884 --> 0:13:24.644
<v Speaker 1>We're talking about self driving cars in your.

0:13:25.444 --> 0:13:28.124
<v Speaker 2>Room at your at Bellagio and I'm gonna, I'm gonna,

0:13:28.364 --> 0:13:32.124
<v Speaker 2>I'm gonna order a lift in six minutes, right, and

0:13:32.204 --> 0:13:33.484
<v Speaker 2>it's like they're in two minutes. You have to get

0:13:33.524 --> 0:13:36.724
<v Speaker 2>on the fucking ride share thing. You don't take these

0:13:36.764 --> 0:13:38.644
<v Speaker 2>zubers in Vegas, I guess very much, right.

0:13:39.284 --> 0:13:42.324
<v Speaker 1>No, that's it's yeah, No, that's a different thing. But

0:13:42.484 --> 0:13:47.644
<v Speaker 1>I think you just right now, there's no reliable gauge

0:13:47.644 --> 0:13:50.884
<v Speaker 1>for how quickly or not a car will actually come.

0:13:50.924 --> 0:13:53.164
<v Speaker 1>But I wonder if autonomous vehicles will actually solve this

0:13:53.244 --> 0:13:55.644
<v Speaker 1>problem or if they're just gonna lie the exact same way,

0:13:55.804 --> 0:13:59.084
<v Speaker 1>right that this is a problem with the underlying algorithm

0:13:59.204 --> 0:14:02.444
<v Speaker 1>as opposed to I think anything else. The other thing

0:14:02.684 --> 0:14:05.244
<v Speaker 1>that with autonomous vehicle is actually where you might need

0:14:05.284 --> 0:14:08.564
<v Speaker 1>a human. So talking about GPS and all of these things,

0:14:09.204 --> 0:14:12.404
<v Speaker 1>for whatever reason, where I live in Vegas for a

0:14:12.524 --> 0:14:17.684
<v Speaker 1>very long time was for some reason misrepresented on the GPS,

0:14:18.124 --> 0:14:21.644
<v Speaker 1>and drivers would actually like go to the totally wrong place,

0:14:21.684 --> 0:14:24.044
<v Speaker 1>and it was an absolute nightmare wanting you needed to

0:14:24.044 --> 0:14:30.004
<v Speaker 1>get picked up because somehow the GPS just completely fucked up, right,

0:14:30.244 --> 0:14:32.284
<v Speaker 1>and so people would just not be able to find it.

0:14:32.724 --> 0:14:36.044
<v Speaker 1>And so if there's a human there, you can talk

0:14:36.084 --> 0:14:38.124
<v Speaker 1>to them and be like, hey, okay, no, you need

0:14:38.164 --> 0:14:39.604
<v Speaker 1>to do this, you need to take a turn here,

0:14:39.684 --> 0:14:41.684
<v Speaker 1>you need to do this to get me. What do

0:14:41.724 --> 0:14:43.764
<v Speaker 1>I do if it's a weimo that's coming to pick

0:14:43.804 --> 0:14:46.444
<v Speaker 1>me up? How do I make sure that when you

0:14:46.604 --> 0:14:50.244
<v Speaker 1>need kind of that human intervention because the technology is

0:14:50.284 --> 0:14:53.404
<v Speaker 1>fucking up. Like I said, I've never taken weimos, so

0:14:53.604 --> 0:14:56.484
<v Speaker 1>I don't know if you can interact with them in

0:14:56.524 --> 0:14:59.764
<v Speaker 1>the same way. Maybe this isn't a problem, but it

0:14:59.844 --> 0:15:03.404
<v Speaker 1>seems like it might be a point of friction.

0:15:05.484 --> 0:15:10.364
<v Speaker 2>I mean, look, one problem with algorithms, really with algorithms there,

0:15:10.404 --> 0:15:13.484
<v Speaker 2>with people who designed the algorithms, right, is like there's

0:15:13.604 --> 0:15:18.844
<v Speaker 2>like a lot of over literalness.

0:15:18.044 --> 0:15:20.564
<v Speaker 3>You know what I mean. Like I used to live near.

0:15:21.884 --> 0:15:25.964
<v Speaker 2>A corner near Penn Station, right, and this is a

0:15:26.164 --> 0:15:31.564
<v Speaker 2>very busy all times of days intersection, right, But there

0:15:31.604 --> 0:15:34.404
<v Speaker 2>are lots of times when if not makes sense to

0:15:34.444 --> 0:15:37.724
<v Speaker 2>loot all the way around the whole avenue when you

0:15:37.724 --> 0:15:40.844
<v Speaker 2>can just drop me on like one block north or

0:15:40.884 --> 0:15:43.964
<v Speaker 2>one block south right, and like so like that logic

0:15:44.044 --> 0:15:47.404
<v Speaker 2>that like a human driver, I'm just gonna drop you

0:15:47.484 --> 0:15:49.244
<v Speaker 2>twenty ninth and seventh and not loop.

0:15:49.084 --> 0:15:51.884
<v Speaker 1>Around because otherwise it's gonna add five minutes to fifteen

0:15:51.924 --> 0:15:55.284
<v Speaker 1>fucking minutes, yeah, fifteen minutes whatever it or like hey, pick.

0:15:55.084 --> 0:15:56.804
<v Speaker 2>I'm gonna pick you up one seventh and not on

0:15:57.044 --> 0:15:59.964
<v Speaker 2>on thirtieth. Like that kind of thing has never been

0:16:00.764 --> 0:16:02.764
<v Speaker 2>a strength of any of these, right, because you're like

0:16:02.804 --> 0:16:05.604
<v Speaker 2>overly literal about like okay, get me the general area,

0:16:05.684 --> 0:16:07.364
<v Speaker 2>and like this is you know a lot of the

0:16:07.404 --> 0:16:11.644
<v Speaker 2>pickoff and drop off locations can be overly literal at

0:16:11.684 --> 0:16:13.804
<v Speaker 2>some properties and things like that.

0:16:13.924 --> 0:16:14.644
<v Speaker 3>I mean, I don't know.

0:16:15.404 --> 0:16:19.564
<v Speaker 1>Yeah, presumably algorithms will get better, and they'll they'll get

0:16:19.564 --> 0:16:22.164
<v Speaker 1>better at things like that, but there are other safety

0:16:22.204 --> 0:16:24.444
<v Speaker 1>issues that I do wonder about. And by the way,

0:16:24.724 --> 0:16:27.644
<v Speaker 1>a few weeks back, there was a big op ed

0:16:27.884 --> 0:16:31.604
<v Speaker 1>from a surgeon in the New York Times about autonomous

0:16:31.684 --> 0:16:36.244
<v Speaker 1>vehicles and you know, accident rates and not just fatalities,

0:16:36.284 --> 0:16:40.604
<v Speaker 1>but the types of injuries that the physician you know

0:16:40.684 --> 0:16:44.124
<v Speaker 1>has seen in different situations. And it was arguing for

0:16:44.364 --> 0:16:48.284
<v Speaker 1>more autonomous vehicles because you know of how these insane

0:16:48.324 --> 0:16:50.604
<v Speaker 1>situations that human drivers get into, and that their safety

0:16:50.644 --> 0:16:55.284
<v Speaker 1>record is much better. Obviously this is a tiny fraction,

0:16:55.764 --> 0:16:57.564
<v Speaker 1>you know, et cetera, et cetera, et cetera. But that

0:16:57.644 --> 0:17:00.964
<v Speaker 1>made me much more kind of pro autonomous vehicles than

0:17:01.004 --> 0:17:03.084
<v Speaker 1>I might otherwise have been, because I think that this

0:17:03.164 --> 0:17:05.724
<v Speaker 1>is this is a big, a big deal, and we

0:17:05.804 --> 0:17:08.924
<v Speaker 1>do want to be thinking about, you know, about those

0:17:08.924 --> 0:17:13.004
<v Speaker 1>types of questions. But some of the other kind of

0:17:13.044 --> 0:17:16.764
<v Speaker 1>algorithmic questions are you know, how do you and this

0:17:16.844 --> 0:17:19.284
<v Speaker 1>is you know, I don't want to get all like

0:17:19.324 --> 0:17:22.324
<v Speaker 1>philosophical here, But it does like get into kind of

0:17:22.324 --> 0:17:26.924
<v Speaker 1>these morality problems, types of situations where like whose life

0:17:26.924 --> 0:17:29.244
<v Speaker 1>do you prioritize? Right? Like how do you make those

0:17:29.284 --> 0:17:31.724
<v Speaker 1>types of judgment calls? What is the algorithm going to

0:17:31.724 --> 0:17:35.444
<v Speaker 1>do in different situations where there's no good answer right

0:17:35.484 --> 0:17:38.644
<v Speaker 1>where you might endanger your passenger or engager someone crossing

0:17:38.724 --> 0:17:41.444
<v Speaker 1>the street, or do this or do that, especially as

0:17:41.484 --> 0:17:44.724
<v Speaker 1>we started off the show talking about in this transitional

0:17:44.764 --> 0:17:47.404
<v Speaker 1>period where you're not dealing with other autonomous vehicles, right,

0:17:47.484 --> 0:17:49.364
<v Speaker 1>you're dealing with a lot of humans on the road.

0:17:49.604 --> 0:17:51.284
<v Speaker 1>So how do you make those trade offs? How do

0:17:51.324 --> 0:17:55.004
<v Speaker 1>you program that? You know, who's responsible for programming those algorithms?

0:17:55.284 --> 0:17:57.244
<v Speaker 1>How are they thinking about it? I think these are

0:17:57.284 --> 0:17:59.964
<v Speaker 1>all really important questions where it's not a question of

0:18:00.004 --> 0:18:03.004
<v Speaker 1>tweaking the algorithm and saying, oh, like let the person

0:18:03.044 --> 0:18:05.524
<v Speaker 1>tell them to like pick me up at this corner instead.

0:18:06.084 --> 0:18:07.724
<v Speaker 1>These are much deeper questions.

0:18:09.484 --> 0:18:11.764
<v Speaker 2>Yeah, I mean I some of our listeners are probably

0:18:11.764 --> 0:18:13.964
<v Speaker 2>familiar with with the trolley problem.

0:18:14.084 --> 0:18:17.804
<v Speaker 1>Yeah. Yeah, the trolley problem is your is your gold

0:18:17.844 --> 0:18:20.164
<v Speaker 1>standard here and all the iterations of.

0:18:20.084 --> 0:18:24.684
<v Speaker 2>It, which is a philosophical dilemma. I guess where there

0:18:24.724 --> 0:18:28.044
<v Speaker 2>is a trolley on a busy track. It's going to

0:18:28.204 --> 0:18:30.284
<v Speaker 2>kill I guess some people who are tied to the track.

0:18:30.364 --> 0:18:34.644
<v Speaker 2>You can also divert it and instead of killing these

0:18:34.684 --> 0:18:36.884
<v Speaker 2>five people, you kill like two workers.

0:18:36.924 --> 0:18:38.244
<v Speaker 3>I mean, there are there are lots.

0:18:38.044 --> 0:18:39.244
<v Speaker 1>Of infinite variations of it.

0:18:39.284 --> 0:18:41.124
<v Speaker 2>I think it seems pretty us like diverted kill the

0:18:41.124 --> 0:18:43.044
<v Speaker 2>two and not the five. Right, But Like the point is,

0:18:43.044 --> 0:18:46.364
<v Speaker 2>if you're kind of like intervening and making a decision,

0:18:46.924 --> 0:18:51.124
<v Speaker 2>then it begins to feel like I feel like, yeah,

0:18:51.164 --> 0:18:53.564
<v Speaker 2>you've made a moral choice, right, And.

0:18:53.724 --> 0:18:55.324
<v Speaker 1>And what if you know that one of these is

0:18:55.364 --> 0:18:58.364
<v Speaker 1>an infant one of these is a Nobel Prize winning set, Right,

0:18:58.444 --> 0:19:00.844
<v Speaker 1>what if you actually know something about the identities? Like

0:19:00.884 --> 0:19:03.124
<v Speaker 1>you said, there are infinite variations of this, of the

0:19:03.164 --> 0:19:07.324
<v Speaker 1>trolley problem, and there's no definitive answer. Like philosophers disagree

0:19:07.324 --> 0:19:09.644
<v Speaker 1>on the answers to this to this day. There are

0:19:09.644 --> 0:19:13.644
<v Speaker 1>different philosophical schools that have that advocate different approaches. And

0:19:14.324 --> 0:19:17.604
<v Speaker 1>this is I mean, autonomous vehicles have to deal with

0:19:17.924 --> 0:19:21.604
<v Speaker 1>one big trolley problem, right in some sense.

0:19:21.444 --> 0:19:23.924
<v Speaker 2>Yeah, when and when you have to quantify things, it's

0:19:24.004 --> 0:19:27.164
<v Speaker 2>one of the things that I will defend some of

0:19:27.164 --> 0:19:30.884
<v Speaker 2>the effective altruists and like rationalists about right is Thelle

0:19:30.884 --> 0:19:33.564
<v Speaker 2>will be like, well, what's what's the value of a

0:19:33.604 --> 0:19:37.684
<v Speaker 2>ship's life compared to like a human life? Yep, And

0:19:37.724 --> 0:19:40.924
<v Speaker 2>it can be a little off putting to think about.

0:19:41.204 --> 0:19:42.964
<v Speaker 2>On the other hand, we make the trade offs all

0:19:43.004 --> 0:19:44.524
<v Speaker 2>the time, right. I talk about an example in my

0:19:44.564 --> 0:19:47.484
<v Speaker 2>book from a few years ago where like the entire

0:19:47.724 --> 0:19:50.164
<v Speaker 2>New York City, not the entire New York City subway system,

0:19:50.324 --> 0:19:55.044
<v Speaker 2>several lines, like the f whatever lines were shut down

0:19:55.044 --> 0:19:57.084
<v Speaker 2>because of a loose dog that I had in somewhere

0:19:57.084 --> 0:20:00.764
<v Speaker 2>in Brooklyn Heights. I think, right, And like, you know,

0:20:01.244 --> 0:20:04.924
<v Speaker 2>I mean, there is a big cost to shutting down

0:20:04.964 --> 0:20:05.484
<v Speaker 2>the subway.

0:20:05.524 --> 0:20:06.404
<v Speaker 3>It makes people late.

0:20:06.444 --> 0:20:09.124
<v Speaker 2>It means that can include like emergency workers and things

0:20:09.124 --> 0:20:12.004
<v Speaker 2>like that, because often in New York the fastest way

0:20:12.044 --> 0:20:14.124
<v Speaker 2>to get around is with the subway, no matter, you know,

0:20:14.364 --> 0:20:16.244
<v Speaker 2>unless you have an ambulance with the right of way

0:20:16.604 --> 0:20:20.484
<v Speaker 2>and things like that. Right, and people are comfortable talking

0:20:20.524 --> 0:20:22.644
<v Speaker 2>about like what is the cost of a lost hour

0:20:22.684 --> 0:20:25.204
<v Speaker 2>of economic productivity? And how's that way against a dog's

0:20:25.244 --> 0:20:26.204
<v Speaker 2>life and things like that.

0:20:26.244 --> 0:20:28.204
<v Speaker 3>But the point is that like that.

0:20:28.124 --> 0:20:30.204
<v Speaker 2>When you kind of force people to make decisions that

0:20:30.244 --> 0:20:34.644
<v Speaker 2>are explicit and if playing their logic then then that

0:20:34.724 --> 0:20:37.844
<v Speaker 2>becomes problematic in some ways.

0:20:37.924 --> 0:20:42.404
<v Speaker 1>Right, Yeah, And you know when you are talking about

0:20:42.444 --> 0:20:45.484
<v Speaker 1>all of these autonomous vehicles and all of these different companies,

0:20:45.684 --> 0:20:48.924
<v Speaker 1>you have to realize. I mean we've talked about this before,

0:20:48.964 --> 0:20:51.924
<v Speaker 1>but I think it's a really important point that algorithms

0:20:51.964 --> 0:20:53.364
<v Speaker 1>do not exist in a vacuum.

0:20:53.684 --> 0:20:53.844
<v Speaker 3>Right.

0:20:53.884 --> 0:20:58.004
<v Speaker 1>They are based on they're humans who are programming them.

0:20:58.244 --> 0:21:00.964
<v Speaker 1>There are people who are waiting different inputs. Those are

0:21:01.004 --> 0:21:04.524
<v Speaker 1>all judgment choices. Even when you're looking at you know

0:21:04.644 --> 0:21:08.724
<v Speaker 1>AI and like lms, that's also trained on some set

0:21:08.764 --> 0:21:11.444
<v Speaker 1>of data. Right, which data is it trained on? Who

0:21:11.564 --> 0:21:14.964
<v Speaker 1>created that data? And like those weights really matter, right,

0:21:14.964 --> 0:21:17.444
<v Speaker 1>they can make a really big difference. And like all

0:21:17.484 --> 0:21:19.404
<v Speaker 1>of a sudden, something's going to go off the rails

0:21:19.644 --> 0:21:23.244
<v Speaker 1>because of a tiny, tiny tweak and there's no such

0:21:23.364 --> 0:21:26.684
<v Speaker 1>it's there's no such thing as objectivity, and because it's

0:21:26.764 --> 0:21:29.804
<v Speaker 1>being made by an algorithm, it's objective and it's perfect.

0:21:30.364 --> 0:21:32.044
<v Speaker 1>Like that just doesn't that's that's r I don't know.

0:21:32.084 --> 0:21:35.764
<v Speaker 1>I just think that human beings are absolutely I just

0:21:35.804 --> 0:21:38.844
<v Speaker 1>mean in algorithms like it's this, it's this myth and

0:21:38.884 --> 0:21:41.964
<v Speaker 1>this you know, misc not misconception, because I think a

0:21:41.964 --> 0:21:44.044
<v Speaker 1>lot of people agree with me. But it's this just

0:21:44.924 --> 0:21:47.684
<v Speaker 1>thinking that, oh, like, because it's like an algorithm and

0:21:47.724 --> 0:21:50.644
<v Speaker 1>a computer, it's free of human bias. And that's just

0:21:50.684 --> 0:21:52.964
<v Speaker 1>not true. It's not free of human bias. It's not

0:21:53.004 --> 0:21:55.564
<v Speaker 1>free of human error. And so you have to think about,

0:21:55.564 --> 0:21:58.004
<v Speaker 1>like who are the people in charge, what kinds of

0:21:58.084 --> 0:22:00.844
<v Speaker 1>choices are they making, what weights are they putting on?

0:22:01.524 --> 0:22:04.124
<v Speaker 1>You know, I'm going to value the life of this

0:22:04.204 --> 0:22:07.324
<v Speaker 1>person versus that person, Nate, if I know that the

0:22:07.364 --> 0:22:10.924
<v Speaker 1>passenger of a weim is a Democrat or a Republican,

0:22:11.564 --> 0:22:14.564
<v Speaker 1>you know, am I going to Am I going to

0:22:14.564 --> 0:22:17.684
<v Speaker 1>make different choices based off the value of their life?

0:22:17.684 --> 0:22:21.164
<v Speaker 1>That sounds I mean, I'm being kind of silly on

0:22:21.244 --> 0:22:25.244
<v Speaker 1>purpose because like, you know, I'm trying to make a

0:22:25.324 --> 0:22:31.244
<v Speaker 1>point where like you understand that these are all objective

0:22:31.524 --> 0:22:34.444
<v Speaker 1>judgments and who knows right in the black box of

0:22:34.484 --> 0:22:37.404
<v Speaker 1>the algorithm how people end up coming up with them,

0:22:37.644 --> 0:22:41.364
<v Speaker 1>And and now imagine that, Okay, fine, like we've we've

0:22:41.404 --> 0:22:43.524
<v Speaker 1>tried to do the best we can we being the

0:22:43.644 --> 0:22:46.324
<v Speaker 1>engineers and the people putting this together. I think we've

0:22:46.364 --> 0:22:49.284
<v Speaker 1>got it, you know, down, and then what happens if

0:22:49.284 --> 0:22:53.164
<v Speaker 1>there's like a camera malfunction or that something is misperceived

0:22:53.164 --> 0:22:57.244
<v Speaker 1>as something else, and you know, car does something horrible

0:22:57.284 --> 0:22:59.044
<v Speaker 1>because it thinks that it's about to hit a dog,

0:22:59.084 --> 0:23:01.084
<v Speaker 1>but it's really not about to hit a dog, right,

0:23:01.164 --> 0:23:04.204
<v Speaker 1>Someone just like left a scooter or something like that.

0:23:04.524 --> 0:23:07.364
<v Speaker 1>Those types of things happen as well, and so you

0:23:07.444 --> 0:23:10.724
<v Speaker 1>have just whenever you a lot of technology, there are

0:23:10.764 --> 0:23:14.924
<v Speaker 1>lots of parts where it can malfunction, it can go wrong.

0:23:16.164 --> 0:23:20.004
<v Speaker 1>So last week, please don't judge me, Nate, I rewatched

0:23:20.164 --> 0:23:24.444
<v Speaker 1>the movie Speed. It didn't hold up very well. I

0:23:24.484 --> 0:23:28.484
<v Speaker 1>have to say I was very disappointed. I'm sorry if

0:23:28.524 --> 0:23:30.604
<v Speaker 1>anyone in the audience is a huge fan of Speed.

0:23:30.924 --> 0:23:33.044
<v Speaker 1>Just it did not hold up very well. The acting

0:23:33.164 --> 0:23:36.524
<v Speaker 1>was horrible. Just everyone was a little bit off. Anyway,

0:23:36.724 --> 0:23:39.964
<v Speaker 1>there's a scene this is relevant. There's a scene in

0:23:40.044 --> 0:23:42.884
<v Speaker 1>Speed and the conceit of the movie. This is not

0:23:42.924 --> 0:23:46.124
<v Speaker 1>a spoiler for anyone who hasn't seen it, because you'll

0:23:46.164 --> 0:23:48.524
<v Speaker 1>figure it out within the first ten minutes. Literally, the

0:23:48.564 --> 0:23:50.604
<v Speaker 1>only conceit of the movie. There's a bomb on the

0:23:50.604 --> 0:23:52.564
<v Speaker 1>bus and the bus cannot go below fifty miles an

0:23:52.604 --> 0:23:54.444
<v Speaker 1>hour if it goes below fifty miles an hour, the

0:23:54.484 --> 0:23:56.724
<v Speaker 1>bus will blow up with everyone on it. That's the

0:23:56.844 --> 0:24:01.204
<v Speaker 1>entire movie. That's the plot. So the bus is going

0:24:01.284 --> 0:24:05.404
<v Speaker 1>and they're all in city streets in La, which obviously

0:24:05.524 --> 0:24:07.644
<v Speaker 1>is not very conducive to going fifty miles an hour.

0:24:07.884 --> 0:24:11.364
<v Speaker 1>By the way night the only implausable point, well, there

0:24:11.364 --> 0:24:13.804
<v Speaker 1>are lots of implausible points of that plot, but somehow,

0:24:13.844 --> 0:24:16.364
<v Speaker 1>on a highway in La it managed to go faster

0:24:16.444 --> 0:24:18.164
<v Speaker 1>than fifty miles an hour. I was like, guys, that's

0:24:18.244 --> 0:24:22.244
<v Speaker 1>just never happening. That is never happening. There's way too

0:24:22.364 --> 0:24:25.124
<v Speaker 1>much traffic in La. Anyway, we're on surface streets, we're

0:24:25.164 --> 0:24:27.484
<v Speaker 1>going over fifty miles an hour, and there's a woman

0:24:27.564 --> 0:24:32.164
<v Speaker 1>with a baby carriage and she is going to get hit.

0:24:32.324 --> 0:24:34.244
<v Speaker 1>The baby carriage is going to get hit by the bus,

0:24:34.524 --> 0:24:38.404
<v Speaker 1>and what we can see as humans, which autonomous vehicle

0:24:38.444 --> 0:24:40.444
<v Speaker 1>might not realize, is that there's no baby in the

0:24:40.444 --> 0:24:42.804
<v Speaker 1>carriage is filled with bottles. So this is, you know,

0:24:42.884 --> 0:24:46.164
<v Speaker 1>someone who was collecting bottles from the street putting them

0:24:46.204 --> 0:24:48.084
<v Speaker 1>in a baby carriage. So the carriage goes flying and

0:24:48.124 --> 0:24:51.484
<v Speaker 1>the bottles shatter, but no baby is actually hurt. But

0:24:51.564 --> 0:24:54.924
<v Speaker 1>I was actually just thinking of this just now when

0:24:54.964 --> 0:24:57.724
<v Speaker 1>we're discussing this. You know, what if that happens and

0:24:57.804 --> 0:25:01.484
<v Speaker 1>you're in an autonomous vehicle and the autonomous vehicle doesn't realize,

0:25:01.524 --> 0:25:05.164
<v Speaker 1>you know, baby carriage doesn't necessarily mean baby. You have

0:25:05.204 --> 0:25:07.324
<v Speaker 1>to kind of figure it out and like does something

0:25:07.364 --> 0:25:10.524
<v Speaker 1>that will endanger all the people in the car on

0:25:10.564 --> 0:25:12.484
<v Speaker 1>the bus because they don't want to hit the baby

0:25:12.564 --> 0:25:16.164
<v Speaker 1>because priority says save baby. It's not even a baby, right,

0:25:16.204 --> 0:25:18.724
<v Speaker 1>but it's in a baby carriage. So you know, all

0:25:18.764 --> 0:25:21.164
<v Speaker 1>of these things. This goes back to what we talk

0:25:21.204 --> 0:25:23.604
<v Speaker 1>about often that a lot of the AI can be

0:25:23.804 --> 0:25:26.284
<v Speaker 1>and all of these things can be really really smart,

0:25:26.444 --> 0:25:30.204
<v Speaker 1>but there are certain things that are second nature to humans.

0:25:30.244 --> 0:25:32.404
<v Speaker 1>We don't even realize we're making these judgments that are

0:25:32.404 --> 0:25:35.644
<v Speaker 1>really really difficult to replicate. Right, there's something that we

0:25:35.764 --> 0:25:39.324
<v Speaker 1>just do unthinkingly, but that it's very hard to program

0:25:39.364 --> 0:25:41.484
<v Speaker 1>into an algorithm, into a computer or teach them how

0:25:41.524 --> 0:25:42.324
<v Speaker 1>to do that correctly.

0:25:44.004 --> 0:25:44.444
<v Speaker 3>Yeah.

0:25:44.604 --> 0:25:49.804
<v Speaker 2>On the flip side, when algorithms make counterintuitive quote unquote

0:25:49.844 --> 0:25:53.804
<v Speaker 2>decisions even when they're correct. And believe me, I'm not

0:25:53.964 --> 0:26:00.244
<v Speaker 2>the world's most unskeptical admirer of algorithms. I think there

0:26:00.244 --> 0:26:02.604
<v Speaker 2>are lots of bad algorithms and bad models out there.

0:26:02.684 --> 0:26:05.684
<v Speaker 2>I've built lots of good models and some bad models myself,

0:26:05.724 --> 0:26:08.764
<v Speaker 2>probably over the years and seeing and seeing them from others.

0:26:08.844 --> 0:26:09.004
<v Speaker 3>Right.

0:26:09.044 --> 0:26:12.524
<v Speaker 2>But you know, I was in Florida, like I said,

0:26:12.684 --> 0:26:16.084
<v Speaker 2>and my friend was driving me back to my hotel

0:26:16.164 --> 0:26:19.524
<v Speaker 2>from dinner. Nice of him, but we'd had a little

0:26:19.564 --> 0:26:21.564
<v Speaker 2>wine at dinner, and he's like, I have a test.

0:26:21.724 --> 0:26:26.124
<v Speaker 2>I'm just gonna turn automated mode on and not touch

0:26:26.164 --> 0:26:28.324
<v Speaker 2>the steering wheel, and like it did pretty well, but

0:26:28.364 --> 0:26:31.204
<v Speaker 2>like it took a route that he would never have

0:26:31.244 --> 0:26:33.924
<v Speaker 2>taken back to the hotel, right, And like he's.

0:26:33.764 --> 0:26:34.764
<v Speaker 3>Like, oh, actually this makes sense.

0:26:34.804 --> 0:26:36.964
<v Speaker 2>I understand why it would do it, and so and so,

0:26:37.124 --> 0:26:39.964
<v Speaker 2>like you know, and that's a very low stakes decision, right,

0:26:40.044 --> 0:26:43.284
<v Speaker 2>But like you know, often with these directions, it's like, Okay,

0:26:43.404 --> 0:26:45.364
<v Speaker 2>if people have this intuition that you want to take

0:26:45.444 --> 0:26:49.324
<v Speaker 2>the most direct route, whereas oftentimes going out of your

0:26:49.364 --> 0:26:53.204
<v Speaker 2>way is in principle faster, you could probably test that

0:26:53.364 --> 0:26:56.684
<v Speaker 2>robustly or not or things like that, right, or maybe

0:26:56.724 --> 0:26:59.284
<v Speaker 2>there's a safety thing that seemed like it's dangerous, Like,

0:26:59.484 --> 0:27:00.604
<v Speaker 2>but if you deviate.

0:27:00.284 --> 0:27:01.564
<v Speaker 3>From like the norm.

0:27:01.844 --> 0:27:05.444
<v Speaker 2>Yea, then then you get punished for it, right, and

0:27:05.484 --> 0:27:08.724
<v Speaker 2>so like it might be that like, obviously these vehicle

0:27:08.724 --> 0:27:13.004
<v Speaker 2>should be regular. It might be that regulations that require

0:27:13.244 --> 0:27:18.164
<v Speaker 2>more like explicit and transparent thinking, yeah, are actually less safe.

0:27:18.164 --> 0:27:20.004
<v Speaker 2>I want to be very careful with that. I don't

0:27:20.044 --> 0:27:23.964
<v Speaker 2>think that's the case for like really large language models,

0:27:24.004 --> 0:27:26.804
<v Speaker 2>for example. I think we need far more transparency with those.

0:27:26.844 --> 0:27:28.404
<v Speaker 2>I think they fail in ways that.

0:27:28.324 --> 0:27:30.724
<v Speaker 3>Are a little unpredictable.

0:27:31.924 --> 0:27:35.884
<v Speaker 2>But the problem is, like, yeah, people will blame these

0:27:36.004 --> 0:27:39.084
<v Speaker 2>cars even if they have like a you know whatever

0:27:39.164 --> 0:27:41.884
<v Speaker 2>twenty or twenty five percent the accident rates that humans do,

0:27:42.124 --> 0:27:47.044
<v Speaker 2>and and and plus you have vested interest, right. You know,

0:27:47.284 --> 0:27:49.004
<v Speaker 2>in New York it's a city with a lot of

0:27:49.124 --> 0:27:54.364
<v Speaker 2>union activity. You know, New York also has these you know,

0:27:54.564 --> 0:27:58.684
<v Speaker 2>amazingly expensive frankly ubers and lifts and things like that.

0:27:58.684 --> 0:28:01.284
<v Speaker 2>It's amazing when you go to like a city like

0:28:01.284 --> 0:28:03.244
<v Speaker 2>like in Florida and you're like, oh, man, eight bucks,

0:28:03.284 --> 0:28:04.924
<v Speaker 2>you get across town. That's amazing, right, Not in the

0:28:04.924 --> 0:28:06.164
<v Speaker 2>case in Manhattan and Brooklyn.

0:28:06.644 --> 0:28:07.564
<v Speaker 1>No, certainly not.

0:28:14.164 --> 0:28:16.084
<v Speaker 3>And we'll be right back after this break.

0:28:26.084 --> 0:28:29.644
<v Speaker 1>Even simple algorithms like you know, what's the best route

0:28:29.644 --> 0:28:34.924
<v Speaker 1>to take. I've been completely screwed over in recent months

0:28:34.924 --> 0:28:40.324
<v Speaker 1>by Google, which will default instead of the fastest it

0:28:40.364 --> 0:28:43.924
<v Speaker 1>will go to the eco friendly way to drive. And

0:28:43.924 --> 0:28:47.044
<v Speaker 1>I'm like, how are you even defining eco friendly? Like

0:28:47.324 --> 0:28:49.884
<v Speaker 1>are you is it because I'm saving gas? Because I'm

0:28:49.924 --> 0:28:52.004
<v Speaker 1>not breaking as much? Am I saving the environment? What

0:28:52.164 --> 0:28:55.044
<v Speaker 1>exactly am I doing? And first of all, I didn't

0:28:55.044 --> 0:28:57.244
<v Speaker 1>say I wanted to do this. Secondly, I don't know

0:28:57.284 --> 0:28:59.844
<v Speaker 1>what you mean by eco friendly, Like third of all,

0:28:59.884 --> 0:29:01.764
<v Speaker 1>just tell me that I'm not going the fastest way

0:29:01.804 --> 0:29:04.244
<v Speaker 1>instead of defaulting to it. So I think that in

0:29:04.284 --> 0:29:07.844
<v Speaker 1>that sense, we want to be explicit in the algorithms.

0:29:07.844 --> 0:29:09.964
<v Speaker 1>And I think you need to make think there. Does

0:29:11.044 --> 0:29:13.684
<v Speaker 1>I see a future where like there's human input into

0:29:13.724 --> 0:29:15.724
<v Speaker 1>it where you're like, I want to take the way mo,

0:29:16.044 --> 0:29:18.644
<v Speaker 1>and I like this is my priority, right, like get

0:29:18.644 --> 0:29:21.284
<v Speaker 1>me here fastest or I don't care. I want to

0:29:21.324 --> 0:29:25.284
<v Speaker 1>see neck drive like whatever it is, Like that would

0:29:25.324 --> 0:29:27.884
<v Speaker 1>be that would be an interesting way of doing it,

0:29:27.924 --> 0:29:30.604
<v Speaker 1>as long as you know the model doesn't lie to

0:29:30.644 --> 0:29:32.804
<v Speaker 1>you and it's not like, oh, this is the fastest way,

0:29:32.964 --> 0:29:37.444
<v Speaker 1>right because I'm programmed to take these other things into consideration,

0:29:37.564 --> 0:29:39.804
<v Speaker 1>but I don't want to piss you off.

0:29:40.764 --> 0:29:42.284
<v Speaker 2>Yeah, look, I mean part of the question is like

0:29:42.284 --> 0:29:47.684
<v Speaker 2>what is the algorithm solving for? Right, So, like I

0:29:47.724 --> 0:29:52.084
<v Speaker 2>now live in the East Village, which is very dependent

0:29:52.244 --> 0:29:55.284
<v Speaker 2>on a couple of crosstown subway lines, like the L,

0:29:55.364 --> 0:29:58.884
<v Speaker 2>and so it's actually pretty good overall for subway service,

0:29:58.924 --> 0:30:03.284
<v Speaker 2>but you're almost always making transfers to get most places,

0:30:04.084 --> 0:30:07.204
<v Speaker 2>and like you know, there is a lot of redundancy

0:30:07.324 --> 0:30:10.004
<v Speaker 2>typically in which transfer or you make.

0:30:10.044 --> 0:30:12.084
<v Speaker 3>And like I don't think.

0:30:11.924 --> 0:30:16.524
<v Speaker 2>The Google subway directions are often very good in terms

0:30:16.564 --> 0:30:19.164
<v Speaker 2>of matching my intuitions about like where's the right place

0:30:19.204 --> 0:30:21.604
<v Speaker 2>to make it? Yeah, a transfer, right, Like you know,

0:30:21.724 --> 0:30:23.324
<v Speaker 2>just the kind of combination of the fact that, like

0:30:23.764 --> 0:30:30.444
<v Speaker 2>some lines are more reliable than others, some some actual transitions, right,

0:30:30.644 --> 0:30:33.724
<v Speaker 2>Like you know Union Square, if you ever in a

0:30:33.804 --> 0:30:36.524
<v Speaker 2>Union Square in Manhattan, all those you know, it's very

0:30:36.564 --> 0:30:38.564
<v Speaker 2>crowd of those platforms, right, And like there are some

0:30:38.604 --> 0:30:40.364
<v Speaker 2>other stops where just like you know, I don't want

0:30:40.364 --> 0:30:43.164
<v Speaker 2>to have to change there if there's another alternative, and

0:30:43.204 --> 0:30:48.044
<v Speaker 2>like I don't think it quite understands that adequately, And

0:30:48.084 --> 0:30:50.124
<v Speaker 2>like the fuzziness around, like I don't actually have to

0:30:50.124 --> 0:30:53.764
<v Speaker 2>get this exact location, just somewhere kind of like near there, right,

0:30:54.004 --> 0:30:55.924
<v Speaker 2>I don't think it's fantastic, but like, what are are

0:30:55.964 --> 0:30:56.724
<v Speaker 2>you trying to sell it for?

0:30:56.844 --> 0:30:59.244
<v Speaker 3>Like time or like ease of use?

0:30:59.364 --> 0:31:01.084
<v Speaker 2>You know, in theory, it's like, Okay, you can get

0:31:01.084 --> 0:31:04.724
<v Speaker 2>there two minutes faster if you transfer twice instead of once. Okay,

0:31:04.764 --> 0:31:06.364
<v Speaker 2>Well a I don't really buy I think there's too

0:31:06.404 --> 0:31:10.644
<v Speaker 2>much risk in each transfer, right, that something's wrong, right,

0:31:10.684 --> 0:31:11.524
<v Speaker 2>take a wrong turn.

0:31:11.684 --> 0:31:11.844
<v Speaker 1>Right.

0:31:12.044 --> 0:31:14.044
<v Speaker 3>Depends on a lot of things.

0:31:14.124 --> 0:31:16.524
<v Speaker 2>But yeah, if you don't know what the algorithm is

0:31:16.564 --> 0:31:20.484
<v Speaker 2>solving for exactly, then it's not garbage in garbage out,

0:31:20.484 --> 0:31:23.204
<v Speaker 2>but it's inherently inadequate to the problem unless you're kind

0:31:23.204 --> 0:31:25.284
<v Speaker 2>of like and probably implicitly it's like some notion of

0:31:25.324 --> 0:31:30.564
<v Speaker 2>like utility or satisfaction or whatever else.

0:31:30.924 --> 0:31:33.124
<v Speaker 1>Yeah, No, I mean I think that and a subway

0:31:33.164 --> 0:31:36.444
<v Speaker 1>problem is much simpler than all the different things that

0:31:36.484 --> 0:31:39.244
<v Speaker 1>a self driving car is going to need to solve

0:31:39.284 --> 0:31:43.084
<v Speaker 1>for on any given basis and at any given point

0:31:43.084 --> 0:31:46.084
<v Speaker 1>in time. So I think that these are just illustrations

0:31:46.124 --> 0:31:48.364
<v Speaker 1>of a lot of the things, a lot of the

0:31:48.444 --> 0:31:50.804
<v Speaker 1>challenges that remain a lot of the value judgments that

0:31:50.924 --> 0:31:54.644
<v Speaker 1>have to be made as this technology gets off the ground. Now,

0:31:54.844 --> 0:31:58.124
<v Speaker 1>I'm also worried, Nate, Let's just imagine, for the sake

0:31:58.124 --> 0:32:05.804
<v Speaker 1>of argument, that everything, like all these algorithms are evolved perfectly,

0:32:06.084 --> 0:32:09.124
<v Speaker 1>right that, And like I said, for the sake of argument,

0:32:09.444 --> 0:32:12.244
<v Speaker 1>let's just say that like they've solved the trolley problem

0:32:12.524 --> 0:32:16.364
<v Speaker 1>and they are optimized, like they're doing everything that we

0:32:16.444 --> 0:32:19.284
<v Speaker 1>think they should be doing, and like the technology is

0:32:19.364 --> 0:32:22.724
<v Speaker 1>now like beautiful and the cars can be driving beautifully.

0:32:22.884 --> 0:32:25.564
<v Speaker 1>There's one other element that I worry about, which is

0:32:25.764 --> 0:32:30.564
<v Speaker 1>security of the actual systems, in terms of hacking and

0:32:30.644 --> 0:32:34.764
<v Speaker 1>in terms of bad actors being able to get into

0:32:35.164 --> 0:32:38.964
<v Speaker 1>these autonomous vehicles, take them over, sabotage them, whatever it is.

0:32:39.084 --> 0:32:43.164
<v Speaker 1>This is not me being conspiracy theory minded. Basically every

0:32:43.164 --> 0:32:47.044
<v Speaker 1>single smart car system has been hacked into at some point,

0:32:47.644 --> 0:32:50.804
<v Speaker 1>including things that seem ridiculous, and not just smart cars,

0:32:50.844 --> 0:32:53.924
<v Speaker 1>smart homes. Right, Like, there are people who like hack

0:32:53.964 --> 0:32:57.124
<v Speaker 1>into homes and like turn your heat to one hundred

0:32:57.244 --> 0:32:59.724
<v Speaker 1>or make it freezing, and do things that seem like

0:32:59.764 --> 0:33:02.164
<v Speaker 1>silly pranks, but they're not right, Like they're doing this

0:33:02.244 --> 0:33:06.244
<v Speaker 1>with a very malicious intent, Like people's toasters, Like anything

0:33:06.284 --> 0:33:10.444
<v Speaker 1>that's smart that's connected to the grid, like has been

0:33:10.524 --> 0:33:13.524
<v Speaker 1>actually taken over at some point, whether to prove a

0:33:13.564 --> 0:33:17.364
<v Speaker 1>point or sometimes for a malicious purpose. And cars, like

0:33:17.444 --> 0:33:20.204
<v Speaker 1>if you think about an autonomous system that can be

0:33:20.284 --> 0:33:24.644
<v Speaker 1>taken over and whether it's cars or something else, like

0:33:24.844 --> 0:33:26.804
<v Speaker 1>this isn't the I mean, it could be the plot

0:33:26.844 --> 0:33:29.124
<v Speaker 1>of a movie, but like this is something that's actually

0:33:30.484 --> 0:33:34.324
<v Speaker 1>not It's quite reasonable to assume that there are bad

0:33:34.364 --> 0:33:37.004
<v Speaker 1>actors who will try to break into any system, just

0:33:37.044 --> 0:33:41.244
<v Speaker 1>like energy system, powagrids, et cetera. Like that's that's something

0:33:41.284 --> 0:33:45.124
<v Speaker 1>that has happened. It will continue to happen, and people,

0:33:45.644 --> 0:33:48.084
<v Speaker 1>you know, in their quest to kind of evolve and

0:33:48.124 --> 0:33:52.644
<v Speaker 1>move forward, safety in that sense is not often the

0:33:52.764 --> 0:33:56.324
<v Speaker 1>number one concern, and so they're end up being you know,

0:33:56.324 --> 0:33:59.684
<v Speaker 1>there end up being vulnerabilities that are only discovered after

0:33:59.724 --> 0:34:03.684
<v Speaker 1>the fact. And if you think about what might happen,

0:34:03.724 --> 0:34:06.164
<v Speaker 1>like it's a constant arms race, you know, between bad

0:34:06.204 --> 0:34:09.244
<v Speaker 1>actor hackers and people trying to you know, the white

0:34:09.284 --> 0:34:13.364
<v Speaker 1>hackers like good actors who are trying to prevent vulnerabilities,

0:34:13.444 --> 0:34:18.524
<v Speaker 1>prevent security technology breaches, and it's this constant war and

0:34:18.644 --> 0:34:21.524
<v Speaker 1>if you think about now a future where you know,

0:34:21.604 --> 0:34:24.604
<v Speaker 1>we have lots of fleets of autonomous vehicles, I think

0:34:24.604 --> 0:34:26.564
<v Speaker 1>that's something that we do need to think about and

0:34:26.684 --> 0:34:29.084
<v Speaker 1>worry about as well. And like I said, like I

0:34:29.084 --> 0:34:31.804
<v Speaker 1>don't think that this is being conspiracy theorist or just

0:34:32.564 --> 0:34:36.484
<v Speaker 1>are very alarmist. I actually think that this is quite real.

0:34:36.604 --> 0:34:40.284
<v Speaker 1>It happens all the time, you know, people things are

0:34:40.284 --> 0:34:43.684
<v Speaker 1>hacked all the time, and as you know, as we

0:34:43.724 --> 0:34:46.684
<v Speaker 1>are more and more reliant on it, you realize just

0:34:46.764 --> 0:34:51.204
<v Speaker 1>how big of an impact hacks can have. They If

0:34:51.244 --> 0:34:54.284
<v Speaker 1>you remember, like six months ago, Las Vegas kind of

0:34:54.284 --> 0:34:57.364
<v Speaker 1>came the strip came to a standstill when someone hacked

0:34:57.404 --> 0:35:00.164
<v Speaker 1>into all the MGM systems. Right, no one could check

0:35:00.204 --> 0:35:02.364
<v Speaker 1>in to their rooms. People couldn't even get into their

0:35:02.444 --> 0:35:05.364
<v Speaker 1>rooms like people could. It was just absolutely a shit

0:35:05.404 --> 0:35:07.804
<v Speaker 1>shown that happened to the Caesar's properties. Turns out, by

0:35:07.804 --> 0:35:10.764
<v Speaker 1>the way, I was a teenager, but like it was

0:35:10.924 --> 0:35:13.564
<v Speaker 1>just an absolute nightmare. And that's just like that's a

0:35:13.604 --> 0:35:14.204
<v Speaker 1>tiny thing.

0:35:16.244 --> 0:35:20.124
<v Speaker 2>Yeah, not fully automating things with AI, because when AI

0:35:20.164 --> 0:35:27.524
<v Speaker 2>systems fail, they don't fail particularly robustly necessarily.

0:35:27.644 --> 0:35:29.084
<v Speaker 3>I mean, there's also just some shit like.

0:35:30.804 --> 0:35:34.684
<v Speaker 2>You know, probably if humans are picking out driving routes

0:35:34.724 --> 0:35:37.964
<v Speaker 2>like from JFK back to Brooklyn or Manhattan, right, probably

0:35:38.004 --> 0:35:40.844
<v Speaker 2>you want some degree your randomization. You know, you probably

0:35:40.884 --> 0:35:43.324
<v Speaker 2>have a mixed strategy in game theory terms, where like

0:35:43.364 --> 0:35:45.884
<v Speaker 2>if everybody takes the most optimal route, then it's still

0:35:45.924 --> 0:35:48.084
<v Speaker 2>longer the most optmal route because it gets more crowded.

0:35:48.204 --> 0:35:50.244
<v Speaker 3>Right, you know, I don't know if there's some of that.

0:35:50.284 --> 0:35:52.124
<v Speaker 3>I was just in.

0:35:51.564 --> 0:35:54.324
<v Speaker 2>Miami estate that can have horrible traffic problems, so they're

0:35:54.324 --> 0:35:57.724
<v Speaker 2>also very like patchy. I think it's more an infrastructure

0:35:57.764 --> 0:36:01.964
<v Speaker 2>matter than like a matter of AI decision making per se. Right,

0:36:02.004 --> 0:36:07.084
<v Speaker 2>But like, but yeah, no, look anything where there's not

0:36:07.164 --> 0:36:10.844
<v Speaker 2>like a kill switch, get I get nervous about, yeah,

0:36:10.964 --> 0:36:12.604
<v Speaker 2>or a redundant backup.

0:36:12.404 --> 0:36:15.644
<v Speaker 1>And oh, by the way, it doesn't it doesn't even

0:36:15.684 --> 0:36:16.964
<v Speaker 1>have to be hacking. By the way, I was just

0:36:16.964 --> 0:36:22.324
<v Speaker 1>thinking about the AWS outage that recently happened, where people's

0:36:22.484 --> 0:36:25.484
<v Speaker 1>smart beds got affected and like people got woken up

0:36:25.484 --> 0:36:27.444
<v Speaker 1>in the middle of the night because the beds started

0:36:27.484 --> 0:36:30.044
<v Speaker 1>doing something really weird and then got caught in these

0:36:30.164 --> 0:36:33.684
<v Speaker 1>ridiculous positions and there was nothing they could do because

0:36:33.724 --> 0:36:36.204
<v Speaker 1>there was no redundancy, and like the entire system had

0:36:36.244 --> 0:36:36.644
<v Speaker 1>gone off.

0:36:36.644 --> 0:36:41.044
<v Speaker 2>It's a smart mattress or smart toothbrush or smart clipper.

0:36:40.924 --> 0:36:43.124
<v Speaker 1>But exactly no, neither do I. But now imagine if

0:36:43.164 --> 0:36:45.044
<v Speaker 1>you have to be in a smart car, right, because

0:36:45.564 --> 0:36:47.964
<v Speaker 1>autonomous vehicles are the thing. That's the thing that I

0:36:48.044 --> 0:36:51.604
<v Speaker 1>actually like that. I think that we don't worry enough about, right,

0:36:51.644 --> 0:36:53.364
<v Speaker 1>Like what happens if there are these outages?

0:36:53.444 --> 0:36:55.324
<v Speaker 3>Well, and we have these coercive like if you go

0:36:55.404 --> 0:36:59.204
<v Speaker 3>I've been in where was I in? Norway? Right?

0:36:59.804 --> 0:37:04.964
<v Speaker 2>When ever the car goes over this feed limit, you

0:37:05.044 --> 0:37:11.124
<v Speaker 2>get like a little same thing in Korea, right, So

0:37:11.324 --> 0:37:13.164
<v Speaker 2>like so that can be a.

0:37:13.084 --> 0:37:15.564
<v Speaker 3>Little bit coercive.

0:37:15.604 --> 0:37:18.444
<v Speaker 2>I don't know, I know how I feel about that, right, Yeah,

0:37:18.564 --> 0:37:21.204
<v Speaker 2>but you're certainly giving like the government a lot of control.

0:37:20.884 --> 0:37:24.404
<v Speaker 1>Over, Yeah, you are, and you're giving up and you're

0:37:24.444 --> 0:37:27.844
<v Speaker 1>also giving up a ton of privacy because you know,

0:37:27.924 --> 0:37:31.644
<v Speaker 1>you're presumably you are associated with you know, all the

0:37:31.724 --> 0:37:34.044
<v Speaker 1>routes you take, everything you do, all your habits. So

0:37:34.124 --> 0:37:37.924
<v Speaker 1>I think there are these downstream concerns that we haven't

0:37:37.964 --> 0:37:40.804
<v Speaker 1>really reached yet because we're still figuring out by we,

0:37:40.964 --> 0:37:43.724
<v Speaker 1>I mean the companies who are designing autonomous cars.

0:37:43.884 --> 0:37:45.564
<v Speaker 3>I don't mean me.

0:37:45.604 --> 0:37:48.964
<v Speaker 1>Personally, but I think we're still figuring out like the

0:37:49.044 --> 0:37:52.124
<v Speaker 1>algorithms and all this stuff. But like, even downstream, there

0:37:52.124 --> 0:37:55.644
<v Speaker 1>are lots of things to be thinking about, safety, security,

0:37:56.084 --> 0:37:59.964
<v Speaker 1>redundancy of you know, all of this technology, privacy concerns,

0:38:00.284 --> 0:38:04.164
<v Speaker 1>control like when when people can actually like override, who

0:38:04.204 --> 0:38:07.244
<v Speaker 1>can override your car? Who can make those types of decisions.

0:38:07.924 --> 0:38:11.044
<v Speaker 1>I think that these are really important questions. By the way,

0:38:11.364 --> 0:38:13.964
<v Speaker 1>there was a huge you know, there have been huge

0:38:14.884 --> 0:38:18.484
<v Speaker 1>outcries in the last few years where all of a sudden,

0:38:18.484 --> 0:38:21.044
<v Speaker 1>features of cars that you paid for stopped working because

0:38:21.044 --> 0:38:22.924
<v Speaker 1>the company decided they wanted you to pay for them,

0:38:22.964 --> 0:38:26.684
<v Speaker 1>like heated seats. Right. Like now, imagine you buy a

0:38:26.724 --> 0:38:29.444
<v Speaker 1>car and you don't have a choice anymore to buy

0:38:29.684 --> 0:38:32.724
<v Speaker 1>something where it's not smart and you can control everything,

0:38:33.084 --> 0:38:34.924
<v Speaker 1>and you're just giving all of that up, and all

0:38:34.924 --> 0:38:38.004
<v Speaker 1>of a sudden, they're like, oh, it's now a subscription model. Sorry, Nate,

0:38:38.124 --> 0:38:40.844
<v Speaker 1>you can't go to where you're going today because you

0:38:40.964 --> 0:38:44.124
<v Speaker 1>haven't paid for the upgrades to this feature. I am

0:38:44.164 --> 0:38:46.644
<v Speaker 1>going to lock your car down. So there are all

0:38:46.724 --> 0:38:49.364
<v Speaker 1>of these different considerations that I don't think you know,

0:38:49.444 --> 0:38:51.564
<v Speaker 1>we've only touched the tip of the iceberg when it

0:38:51.564 --> 0:39:04.684
<v Speaker 1>comes to this. Let us know what you think of

0:39:04.724 --> 0:39:07.404
<v Speaker 1>the show. Reach out to us at Risky Business at

0:39:07.444 --> 0:39:12.564
<v Speaker 1>pushkin dot Fm. Risky Business is hosted by me Maria Kanakova.

0:39:12.284 --> 0:39:13.604
<v Speaker 3>And by me Nate Silver.

0:39:14.244 --> 0:39:17.484
<v Speaker 2>The show was a cool production of Pushing Industries and iHeartMedia.

0:39:17.964 --> 0:39:21.284
<v Speaker 2>This episode was produced by Isaac Carter. Our associate producer

0:39:21.364 --> 0:39:25.124
<v Speaker 2>is Sonya gerwit Lydia, Jean Kott and Daphne Chen are

0:39:25.124 --> 0:39:29.284
<v Speaker 2>our editors, and our executive producer is Jacob Goldstein. Mixing

0:39:29.364 --> 0:39:30.244
<v Speaker 2>by Sarah Bruger.

0:39:30.804 --> 0:39:33.004
<v Speaker 1>If you like the show, please rate and review us

0:39:33.044 --> 0:39:35.684
<v Speaker 1>so other people can find us too, But once again,

0:39:35.844 --> 0:39:37.644
<v Speaker 1>only if you like us. We don't want those bad

0:39:37.684 --> 0:39:39.844
<v Speaker 1>reviews out there. Thanks for tuning in.