YouSaid · the spoken record

Ken Washington

lines on the record: 99
first: 2019-04-17
most recent: 2019-04-17
sittings or episodes: 1
sources: podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

“I just spent a week in China and I came back. My head was about to explode. I mean, they're just going at light speed. So I think we got to learn how to go at that speed. So it's a powerful question.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Ford's not sharing our data pool with GM. Nobody's sharing their data, which is why competitive collaborations are so tough.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“That's just the way it is, and that doesn't mean it's going to always be that way. At some point, this is going to get to the point where the technology itself is somewhat commoditized. The exception to the rule here is China, and you guys talked about this earlier on the prior discussion. In that case, the data is all state-owned. And so they've got an unfair advantage just because of the way the government works in China. And so I think there's going to be some pretty tough decisions and discussions that we're going to have to have over the course of the next, say, decade as AI evolves and grows up and begins to be truly adopted and matures in some of these sectors like the autonomous vehicle sector and smart home and digital assistance. But right now there's no data sharing. I mean, you know, Amazon's not sharing their data pool with Google.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Look, I'll just be transparent. There's basically no data sharing between the companies. Data's the new oil, right? We all have our oil wells. Exactly.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“How much data sharing is happening between companies and if there's an incentive to kind of hoard the data to yourself, does that hold back the industry as a whole in terms of making it safer for consumers?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“I don't know if you know this Uber's trying to get into the subway systems to pay for subways with your Uber app, which is great, but maybe not so much. You know what I mean? You start to really start to think about, okay, last question, wherever, whoever has it right here?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Yeah, well, one of the things that we're going to explore is how can you make these things coexist? And in the case of Detroit, there isn't a really healthy public transportation system. So we don't really have that issue. But if you think about taking a solution like the Corktown solution that we'll be developing over the next several years to a city that does have a healthy subway system, we would want to design the solutions so that it amplified that and it could coexist with it and make it better and solve some of the paint problems. Not everybody wants to take subway, but some people would. So I think that's in the category of work to do, but you got to start somewhere.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Nothing wrong with altruism. Also, one of the issues is when you start all this stuff is being done, let's underscore, by private companies, a lot of this new stuff, and it takes away from public transport. Like a lot of these innovations, like you should see the stuff they're doing in China, it's insane around buses, around small cars, around rickshaws, around, and it's all private. And so once private, it's like private prisons, private anything, you're going to get a lot of problems. And so it'll take money away from public transportation things, as you know, which are so hard to We can complain all we want about our subways, but there are miracles like the way they work right now. And at the same time, they're not adequate. And so that's one of the problems is these are all private companies going to be taking over transportation, and they sure aren't going to go where the money isn't. So that's one of the problems.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Going to start with experimenting in Corktown. And we might find a way to offer very affordable mobility to the underserved community there that we can then scale out to the world. But this isn't just altruism. This is part of a way for us to actually have a viable business as well. Because if you can democratize mobility, you can make a good business. Henry Ford proved that over 100 years ago.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“And so we bought that with the promise to revitalize it and bring it back to life and make it again the sort of centerpiece of the Detroit mobility ecosystem. And around the train station, we bought four other properties and we're working with the city and we're in the process now of talking to strategic partners to join us in sorting out that very problem. How do you solve the mobility problem in an inner city, in this case in our own backyard, in our hometown, in a way that makes people transportation to the underserved, that revitalizes a community, that figures out how do you tap into the potential of making the streets smart? So this idea I talked about earlier in terms of putting sensors in the road and making the city smart.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Yeah, that's a really important point. And so we're creating a living laboratory in downtown Detroit to help us figure out how to solve that problem. You know, for those of you that don't know, we bought the Michigan Central Station, which had unfortunately have become sort of the iconic eyesore for the downfall of Detroit.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Trooper Sanders. So, as you're thinking about deploying fleets, you have to think about maximizing revenue. What are your thoughts or plans on people who can't necessarily afford to pay for transport and dealing with the equity and access issues?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Should be exactly Exactly right. And so the scooters are part of the solution as well because you can offer a person a way to go somewhere without getting in a car if it's short enough. So that's part of the optimization solution too.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Do and I think those are examples of how their algorithms are actually helping their drivers optimize their system. But an autonomous vehicle in a longer term scenario could optimize across multiple fleets and not just individual fleets if you could somehow figure out how to do a contract that way. You have no hope of making it better if you don't think about the problem as an optimization problem and a routing problem.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“So I think autonomous, the fact that the vehicles are autonomous in and of themselves will not make the problem better. I think autonomous vehicles deployed smartly into the city in a way that positions the autonomous vehicle after it drops off the person, in a way that minimizes the additional movement. In other words, optimizes the routes so that it's not a dumb autonomous vehicle in the sense of what right it chooses to pick up. So it's not just the AI for the driving task. There's got to be AI in the routing task of which vehicles do I send where and how do I reposition them when they're not busy moving people, that can reduce congestion because if you didn't do that with an AI algorithm, you would be doing it one ride at a time by human. With a human optimizing it based on their sort of social contract.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Approved congestion pricing in Lower Manhattan. It's only gotten worse with Uber and Lyft and has numerous issues on public, the public residents from public transportation taking longer, so it might take people longer to get to work if they use public transportation to emergency vehicles taking longer to get to places they need to, and that's not even talking about pollution or climate change effects. So I wanted to know how you think about more about how you think about autonomous vehicles might address this problem, at least in the beginning, introduction of more vehicles on the roads, whether they're autonomous or not, seems like it could make this worse in the short term. So how do you think autonomous vehicles could help address this problem? And is there a way that autonomous vehicles could address this problem in a way that would take more vehicles off the road?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“So much for this conversation today. I wanted to revisit the issue of congestion. I think it's a really important issue. Anyone who lives in the city, whether you drive or not, you know it's an issue New York just”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Yeah. And years ago, I did an interview with Travis Kalinick when he still was CEO of Uber before he left. And he actually was honest about it. And I said, what's the problem you face and what is the thing you want to do? And he actually spoke the truth, which Silicon Valley people tend not to do sometimes. And he goes, well, you know, Kara, the real problem is the drivers. Once we get rid of them, it's a great business. But the drivers are the problem. He's an awful human being, but he was correct. He was telling the truth. He was saying as once we removed the drivers from the equation, the business becomes economically fantastic. And I was like, I was sitting there going, thank you, thank you, thank you, thank you for saying that truthfully and the whole room was like all Silicon Valley was like, don't tell them that. Like, don't kind of think. But that's really the truth, probably. Anyway, next question right there.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“And the broader, I think the broader issue is what's going to happen to the middle class blue-collar worker over the long term. I don't have the answer for that, but I think it's a real issue.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“And it's more as it becomes more efficient. Same thing with right now in San Francisco, we have burger flippers. Burger companies where you make a burger. It's just burger people that make burgers are cheaper than the robots right now, but eventually they won't be, you know, that kind of thing. So it's going to have displacement, but the issue is will they come up with new jobs? And who does it? Who does that? And that's the problem is we don't know, is it Silicon Valley? Is it the government?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Karen, to be fair, I had this discussion with Mark Andres, and he's like, oh, the farming to manufacturing was better for people because there were more jobs. The fact of the matter is there was enormous displacement and problems and social problems and fights and terrible, there's going to be a terrible toll on a certain group of people. There's no question. And anybody who tells you different is, you know, and in terms of some of the truck stuff, they're not going to just have drivers, they're going to have robots loading these things. If anyone's visited any of these Amazon warehouse or anything, they're going robotic. They have this company called Kiva that's amazing. They're going, everyone's going robotic and automation in a way that I think is another big trend. And this is all governed by AI. It's a really interesting, it's fascinating. And in fact, workers probably shouldn't be putting stuff in boxes. Like that should be a robot. It's a repetitive job.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“A new economy created around the promise of new business models that come from having autonomous trucks, anonymous vehicles, anonymous package delivery services.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Yeah, well, thanks for the question, Karen. It's a very important question, and it's not the first time that an impressive technology has displaced a subset of workers in a particular The good news, and you know, I don't know what this particular form is going to take, but the good news is history teaches us that every time that happens, the quality of the job that they move to and that they get retrained to actually repurpose to improves. And so I hope that this leads to the creation of new economies like assisting the truck ecosystems to do more work and create more value, just as one example. You may not need as many truck drivers if you deploy autonomous truck solutions at scale, but you may need more workers working in the truck depots. You may need more people supporting the companies who are in the business of deploying these technologies to these companies that are integrating them into the trucks. I just kind of made those up, but I believe that there will be some form of”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“With a neighborhood that was ethnically diverse on purpose for that reason. And we went to Washington secondly, again ethnically diverse in Washington, and then other populations in the other three cities. And we're going to expand and go from there. And then on top of that, we're building on, we're hoping to leverage the value of using advanced technology like this kind of creepy GAN thing I talked about earlier to further diversify the simulation data that we use to test and validate our data.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Yeah, so a couple things. So, first, our algorithms for our self driving system that Argo is building are not all machine learning based. It's a mix of machine learning that's trained by diverse data sets in the real world and in simulation space and rule-based algorithms that are based on rules of the road like this is a stop sign, this is a yield sign you're supposed to turn do a yield it left, yield it right and so there it's a it's a combination of a deterministic and a learning based machine learning algorithm as far as the diversity of the data set it all comes down to having test data from multiple cities and we're currently testing as I said earlier in five cities and we started with a”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Set of signals. We do multiple lines of defense. It's never going to be perfect, but it's going to be a lot better than just saying, oh, I'm looking at lines on the road or I'm just going to rely on either radar or camera. You got to have at least three and in some cases four approaches.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“So, you deal with that by not having a single line of defense. And so the tricking the car by putting stickers on the road and doing other things can trick a path planning algorithm if that path planning algorithm has been trained on existing images that didn't have stickers. And it also can be tricked if you're using cameras that are looking for cues on the road. It can't be tricked if you're looking for cameras that have looking for cues on the road if you're looking for a comparison of the world relative to a prior map. And if you're looking for signals from radar and if you're looking for geolocation information from a GPS and if you're looking for locating the vehicle based on bounces off of other objects in 3D space, that's exactly the approach we take. We don't rely on any one or two or three.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“So people realize you could put stickers on the ground, make them change lanes when they shouldn't, right? But that kind of problem isn't specific to their camera feed stuff, right? Like you can do that with LIDAR. That's more of like an AI problem where you can trick the systems by constructed edge cases that cause them to behave outside of spec, right? And this is a problem that you see also in Internet of Things devices where suddenly you have a whole lot of attack spaces that you can attack them from. And they're really only as secure as the weakest link in the network. So when you're designing a car that uses AI and that networks with the home, for example, how do you deal with that?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“We bought And we like here. Yeah, we like spend a lot because they kind of took the same philosophy that we did for taking vehicles into a city. They took their scooters into the city, but only after they talked to the city, which we thought was pretty polite. And so Spin and Ford really have a common culture. And we're working with them to figure out how does they help us solve the last mile problem.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Well, so that's an example of one mode of many potential modes of transportation. So we're looking at a lot of different modes of transportation. We bought a scooter company. Most people don't know that.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Exactly, and it's quiet, quiet. I mean, the reason people don't do helicopters is because they're noisy, right? And so they're noisy and they don't really play nice with airspace. So if you've got something that's quiet and it's electric and it can vertically take off from basically any of these underutilized regional airports and it can fly from San Jose to San Francisco and you can do economics and make it work I think people pay for it. So that's why we're studying it.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Look, it's really not that wacky, right? Because batteries have gotten lighter. The fact that you can fly drones now is just a big drone. And carbon fiber has gotten light enough and strong enough that you can actually make them so that they can fly for several hours. And if you could actually fly one of these things and put three or four people in it and go from San Jose to San Francisco and 15 minutes Economics actually works out so that it's cheaper than taking an Uber”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Quantum computer could solve that problem. Seriously And so we're talking to quantum computer companies about factoring that problem in quantum space. And so this is the perfect application of quantum computers. So a lot of people say quantum computers, ah, they're just science projects. Yes, today they're science projects, but they're really good at solving complex optimization problems. And we're working on trying to factor that into that space so that we can apply a quantum computer to actually solve congestion. It's a little far out there, but hey, you asked for weirdest things.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Because congestion is not going to get any better if you just put a bunch of robocars in the city. You know, you've got to figure out how do you make them synchronize better? How do they behave differently? How do they optimize? If I drop this person off, what's the next person I should pick up? And should I pick up that person eight blocks away because I'm going to get a better fare? Or should I let somebody else pick that person up because that's going to reduce congestion? That's an optimization problem. Turns out it's a really hard optimization problem because you've got lots of factors. You've got lots of pieces. You've got lots of potential paths. And there's like no hope of solving that optimization problem if you try to put all the potential states in a traditional computer and then crunch the numbers. It just won't work. There are too many variables, there are too many scenarios. But you know what will work?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Absolutely. They'd be able to say, oh, I just got this signal. I'm supposed to stop now or I can turn left or have to take this path, not that path. Oh, and by the way, if you've got an array of this kind of sensors in a city and you've got vehicles that have been equipped to react to that, now you can begin to think about how would you create a society where congestion begins to decrease.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“We think that's pretty cool, and it's kind of weird because it kind of flips the self driving problem on its ear. And it says, well, you don't have to just build a bunch of robo cars. You could build sort of robo cities too. And that could make life better even if you're not on a smart car”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Wow I don't know if it's the weirdest, but something that I think is really promising is the AI that we've been talking about is taking AI and putting it in the car. But you don't have to stop there. The AI and the sensors and the intelligence that goes into a self-driving car, well, it can be out in the world too, right? So why just put LIDAR on the top of the roof of cars? LIDARs in every intersection that... Wanted to drive in, and all of a sudden every car could kind of be a self driving car if you could get the data that the intersections determine into that car. So that's something that we're doing some sort of early phase research on is how might you instrument the world So that self driving could be democratized.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“You can't just test in sunny weather. You have to test in all kinds. But who wants to go out and test in the snow and the rain, right?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“It's kind of like the holodack, exactly. It's super cool technology, and it's a way to amplify the ability to do simulation testing, which is why we're doing research.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“The cool part. The cool part is using this technology, you can take scenarios of environments, say like city streets and let's say you want to do a bunch of autonomous vehicle testing in the city of Miami like we really do. And we go and we take a bunch of video of cars running in a bunch of scenarios in the streets of Miami and we take the video of cars and we do it in daylight on a nice sunny good weather day and we test vehicles against those images and those videos. Using this technique, I can now project a rainy day on that same scenario. I can project a snowy day. I can do a foggy day. I can put new people in that environment. I can change the conditions of the road. That's the holodeck from Star.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“A lot of Captain Marvel, but okay. And using this technology, you could create like a digital movie that made it look like you were saying something that you weren't.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Gary, just the name. Yeah, even the name is Gary. But this is pretty freaky stuff. So using this technology, you can actually take a neural network, an AI algorithm, and you can throw a bunch of data and teach it what Kara Swisher looks like. And after it learns what Kara Schwisher looks like, it could then project your image onto pick any random person who's roughly about the same size as you. And then that person can start talking and can deliver speech and it will look and sound just like Kara Swisher. And so it's got”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“So, I think let me start with the coolest. And actually, the coolest might be the scariest too. So we're doing some research with something called GANS, G-A-N stands for generative artificial networks.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Data for something that you're going to say it's worth it. And I think we're going to have to go slowly, try some things out, test it out, and see, hey, how did that feel? And we're going to capture and we're going to have to measure that and then build on that and learn from it.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“I don't think any one company has the answer to that, which is why we're working with coalitions of companies. I think the whole industry, the whole mobility industry, the tech companies, the tier one supply base, automakers, we've all got to have much more conversation about that topic. It's a hard topic. I'm not going to sit here and try to make up an answer because I don't have an answer. Because we're charting in the unchartered territory. No one's built a robocar before, and no one has deployed an autonomous vehicle at scale at any scale in a city where people are riding it and they have access to data and watching movies in the back of the car. This is new stuff. And so we've got to have the conversations about, well, where are the boundaries? What's fair game and what's not, and how do I exchange the access to your”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Yeah, so our, you know, our self driving vehicle may be a self driving technology for a fleet delivery service. So we might be in that business from that point of view. And you know, we'll have to work with him and agree that if you're going to work with us, we have to agree how you're going to treat the data of our customers. Because if it's a customer that's on our car, they're our customer. And we'll have to have an arrangement so that you color inside the lines”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“They definitely are. There's no doubt about that. I can't speak for the how they manage and treat their data. But we're very careful about how we treat the data that we have access to.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“I understand that, and that's why it's really important to us that when we say our aspiration is to be the most trusted company, that's what we mean, that we're not going to share. Talking, you think about the idea.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Like, wow. What TMI there? I was like, whoa. In your example is a good example that you can choose what kind of activity you want to do in your own car because it's your car. And if we have, if you've given us access to that data because we're going to offer you some service, we have the responsibility to not share that with other people or use it for any other purpose other than what we've contracted to do with it.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“They might be playing on the, you know, because I was just thinking the other day, every time I was laughing a second ago, I was driving in San Francisco, of course, and someone was watching one of the movies, and I looked over. It was a porn movie. And I was like, whoa, I was like, wow. TMI there. I was like, whoa, that's a porn movie over there. And then I went to San Francisco. It's fine. But it was really interesting. And I thought, well, I feel intrusive. And yet I'm appalled by these people. And at the same, it was like it went on and on. But it was like they would know that someone was doing that in the car, what they were at. You know, your car is your oasis. So why should there be sensors and AI telling you what to do and making decisions for you?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT