Colin Angle: iRobot

Colin Angle is the CEO and co-founder of iRobot, a robotics company that for 29 years has been creating robots that operate successfully in the real world, not as a demo or on a scale of dozens, but on a scale of thousands and millions. As of this year, iRobot has sold more than 25 million robots to consumers, including the Roomba vacuum cleaning robot, the Braava floor mopping robot, and soon the Terra lawn mowing robot. 25 million robots successfully operating autonomously in people’s homes to me is an incredible accomplishment of science, engineering, logistics, and all kinds of entrepreneurial innovation. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter https://twitter.com/lexfridman, LinkedIn https://www.linkedin.com/in/lexfridman/, Facebook https://www.facebook.com/lexfridman, Medium https://medium.com/@lexfridman, or YouTube https://www.youtube.com/lexfridman where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes or support it on Patreon https://www.patreon.com/lexfridman.

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Lex Fridman?

  The following is a conversation with Colin Engel. He's the CEO and co-founder of iRobot, a robotics company that for 29 years has been creating robots that operate successfully in the real world, not as a demo or on a scale of dozens, but on a scale of thousands and millions. As of this year, iRobot has sold more than 25 million robots to consumers, including the Roomba vacuum cleaning robot, the Braava floor mopping robot, and soon the Terra lawn mowing robot. 29 million robots successfully operating autonomously in real people's homes, to me,

• 0:40Lex Fridman?

  is an incredible accomplishment of science, engineering, logistics, and all kinds of general entrepreneurial innovation. Most robotics companies fail. iRobot has survived and succeeded for 29 years. I spent all day at iRobot, including a long tour and conversation with Colin about the history of iRobot, and then sat down for this podcast conversation that would have been much longer if I didn't spend all day learning about and playing with the various robots in the company's history. I'll release the video of the tour separately. Colin, iRobot, its founding team, its current team, and its mission has been and continues

• 1:24Lex Fridman?

  to be an inspiration to me and thousands of engineers who are working hard to create AI systems that help real people. This is the Artificial Intelligence Podcast. If you enjoy it, subscribe on YouTube, give it five stars on iTunes, support it on Patreon, or simply connect with me on Twitter at LexFriedman, spelled F-R-I-D-M-A-N. And now, here's my conversation with Colin Engel.

• 2:09Lex Fridman?

  In his 1942 short story, Runaround, from his iRobot collection, Isaac Asimov proposed the three laws of robotics in order: don't harm humans, obey orders, protect yourself. So, two questions. First, does the Roomba follow these three laws? And also, more seriously, what role do you hope to see robots take in modern society and in the future world?

• 2:38Speaker 01

  So, the three laws are very thought-provoking and require such a profound understanding of the world a robot lives in, the ramifications of its action and its own sense of self, that it's not a relevant bar, at least it won't be a relevant bar for decades to come. And so, if Roomba follows the three laws, and I believe it does, you know, it is designed to help humans, not hurt them, it's designed to be inherently

• 3:19Speaker 01

  safe, and we designed it to last a long time. It's not through any AI or intent on the robot's part. It's because following the three laws is aligned with being a good robot product. So, I guess it does, but not by explicit design.

• 3:44Lex Fridman?

  So, then the bigger picture, what role do you hope to see robotics, robots, take in our, what's currently mostly a world of humans?

• 3:54Speaker 01

  We need robots to help us continue to improve our standard of living. We need robots...

• 4:06Speaker 01

  Because the average age of humanity is increasing very quickly. And simply, the number of people young enough and spry enough to care for the elder growing demographic is inadequate. And so, what is the role of robots? Today, the role is to make our lives a little easier, a little cleaner, maybe a little healthier. But in time, robots are going to be the difference between real gut-wrenching declines in our ability to live independently and maintain our standard of living and a future

• 4:48Speaker 01

  that is the bright one, where we have more control over our lives, can spend more of our time focused on activities we choose. And I'm so honored and excited to be playing a role in that journey.

• 5:07Lex Fridman?

  So you gave me a tour. It showed me some of the long history. It's now 29 years that iRobot has been at it, creating some incredible robots. You showed me PacBot. You showed me a bunch of other stuff that led up to Roomba, that led to Brava and Terra. So let's skip that incredible history in the interest of time, because we already talked about it. I'll show this incredible footage. You mentioned elderly and robotics in society. I think the home is a fascinating place for robots to be. So where do you see robots in the home? Currently, I would say, once again, probably most homes in the world don't have a robot.

• 5:51Lex Fridman?

  So how do you see that changing? Where do you think is the big initial value add that robots can do?

• 5:58Speaker 01

  So iRobot has, sort of, over the years, narrowed in on the home, the consumer's home, as the place where we want to innovate and deliver tools that will help a home be a more automatically maintained place, a healthier place, a safer place, and perhaps even a more efficient place to be. And, you know, today, vacuum we mop, soon we'll be mowing your lawn, but...

• 6:36Speaker 01

  Where things are going is, when do we get to the point where the home, not just the robots that live in your home, but the home itself becomes part of a system that maintains itself and plays an active role in caring for and helping the people live in that home. And I see everything that we're doing as steps along the path toward that future.

• 7:03Lex Fridman?

  So what are the, what are the steps? So if we can summarize some of the history of Roomba, the, you've mentioned, and maybe you can elaborate on it, but you mentioned that the early days were really taking a robot from something that works either in the lab or something that works in the field that helps soldiers do the difficult work they do, to actually be in the hands of consumers and tens of thousands, hundreds of thousands of robots that don't break down over how much people love them over months of very extensive use. So that was the big first step. And then the second big step was the ability to sense the environment, to build a map, to localize, to be able to build a

• 7:48Lex Fridman?

  picture of the home that the human can then attach labels to in terms of, you know, giving some semantic knowledge to the robot about its environment. Okay, so that's like a huge, two big, huge steps. Now, maybe you can comment on them, but also what is the, the, the next step of, of making a robot part of the home?

• 8:11Speaker 01

  Sure. So the goal is to make a home that, that takes care of itself, takes care of the people in the home, and gives the user an experience of just living their life and the home is somehow doing the right thing, turning on and off lights when you leave, cleaning up the environment, and

• 8:37Speaker 01

  We went from robots that were great in the lab, but were both too expensive and not sufficiently capable to ever do an acceptable job of anything other than being a toy or a curio in your home to something that was both affordable and sufficiently effective to drive, you know, be above threshold and drive purchase intent.

• 9:07Speaker 01

  Now we've disrupted the entire vacuuming industry. The number one selling vacuums, for example, in the US are Roombas, so not robot vacuums, but vacuums. And that's really crazy and weird.

• 9:22Lex Fridman?

  We need to pause that. I mean, that's incredible. That's incredible that a robot is the number one selling thing that does something.

• 9:32Speaker 01

  Yep.

• 9:33Lex Fridman?

  Something as essential as vacuuming.

• 9:35Speaker 01

  Yep.

• 9:35Lex Fridman?

  So we're... Congratulations.

• 9:38Speaker 01

  It's still, it's kind of fun to say, but just because this was a crazy idea that just started, you know, in a room here. We're like, do you think we can do this? So, hey, let's give it a try. But now the robots are starting to understand their environment. And if you think about the next step, there's two dimensions. I've been working so hard since the beginning of iRobot to make robots are autonomous, that, you know, they're smart enough and understand their task enough they can just go do it without human involvement.

• 10:21Speaker 01

  Now, what I'm really excited and working on is how do I make them less autonomous? Meaning that the robot is supposed to be your partner, not this automaton that just goes and does what a robot does. And so that if you tell it, hey, I just dropped some flour by the fridge in the kitchen. Can you deal with it? Wouldn't it be awesome if the right thing just happened based on that utterance? And to some extent, that's less autonomous because it's actually listening to you, understanding the context and intent of the sentence,

• 11:01Speaker 01

  mapping it against its understanding of the home it lives in and knowing what to do. And so that's an area of research. It's an area where we're starting to roll out features. You can now tell your robot to clean up the kitchen and it knows what the kitchen is and can do that. And that's sort of 1.0 of where we're going. The other cool thing is that we're starting to know where stuff is. And why is that important? Well, robots are supposed to have arms, right? Data had an arm, Rosie had an arm, Robbie the robot had an arm. I mean, robots are, you know, they are physical things that move around in an environment.

• 11:46Speaker 01

  They're supposed to like do work. And if you think about it, if a robot doesn't know where anything is, why should it have an arm? But with this new dawn of home understanding that we're starting to go enjoy, I know where the kitchen is. I might in the future know where the refrigerator is. I might, if I had an arm, be able to find the handle, open it and even get myself a beer. Obviously, that's one of the true dreams of robotics is to have robots bringing us a beer while we watch television. But, you know, I think that that new category of tasks

• 12:28Speaker 01

  where physical manipulation, robot arms is a, just a potpourri of new opportunity and excitement.

• 12:37Lex Fridman?

  And you see humans as a crucial part of that. So you kind of mentioned that and I personally find that a really compelling idea, I think.

• 12:48Lex Fridman?

  Full autonomy can only take us so far, especially in the home. So you see humans as helping the robot understand or give deeper meaning to this spatial information.

• 13:00Speaker 01

  Right, it's a partnership. The robot is supposed to operate according to descriptors that you would use to describe your own home.

• 13:14Speaker 01

  The robot is supposed to, in lieu of better direction, kind of go about its routine, which ought to be basically right and lead to a home maintained in a way that it's learned you like, but also be perpetually ready to take direction that would activate a different set of behaviors or actions to meet a current need to the extent it could actually perform that task.

• 13:49Lex Fridman?

  So I got to ask you, I think this is a fundamental and fascinating question because iRobot has been a successful company and a rare successful robotics company. So Anki, Jibo, Mayfield Robotics with a robot curry, SciFi Works, Rethink Robotics. These were robotics companies that were founded and run by brilliant people.

• 14:11Lex Fridman?

  But all, very unfortunately, for, at least for us roboticists, all went out of business recently. So why do you think they didn't last longer? Why do you think it is so hard to keep a robotics company alive?

• 14:27Speaker 01

  You know, I say this only partially in jest that back in the day before Roomba, you know, I was a, I was a high-tech entrepreneur building robots.

• 14:41Speaker 01

  But it wasn't until I became a vacuum cleaner salesman that we had any success. So the, I mean, the point is, technology alone doesn't equal a successful business. We need to go and find the compelling need where the robot that we're creating.

• 15:04Speaker 01

  Can deliver clearly more value to the end user than it costs. And it's, this is not a marginal thing where you're looking at the skin like, eh, it's close, maybe we can hold our breath and make it work. It's clearly more value than the, the cost of the robot to bring, you know, in the store. And I think that the challenge has been finding those businesses where that's true in a sustainable fashion.

• 15:45Speaker 01

  You know, the, the, um, when you get into entertainment style things, you could be the cat's meow one year, but 85% of toys, regardless of their merit, fail to make it to their second season. It's just super hard to do so. And, um, uh, so that that's just a tough business. And there's been a lot of experimentation around, um, what is the right type of social companion? What is the right robot in the home that is doing something other than tasks people

• 16:29Speaker 01

  do every week that they'd rather not do? And I'm not sure we've got it all figured out right. And so that you get brilliant roboticists with super interesting robots that ultimately don't quite have that magical user experience. Uh, and thus the, that value benefit equation remains ambiguous.

• 16:57Lex Fridman?

  So you as somebody who dreams of robots, you know, changing the world, what's your estimate? Why, how big is the space of applications that fit the criteria that you just described, where you can really demonstrate an obvious significant value over the alternative non-robotic solution?

• 17:22Speaker 01

  Well, I think that we're just about none of the way.

• 17:27Speaker 01

  To achieving the potential of robotics at home. But we have to do it in a, a really eyes wide open,

• 17:37Speaker 01

  honest fashion.

• 17:38Lex Fridman?

  And so another way to put that is the potential is infinite. Because we did take a few steps, but you're saying those steps are just very initial steps. So the Roomba is a hugely successful product. But you're saying that's just the very, very beginning.

• 17:51Speaker 01

  The very, very beginning. It's the foot in the door. And, uh, you know, I think I was lucky

• 17:59Speaker 01

  that in the early days of, of, of robotics, people would ask me, when are you going to clean my floor? It was something that I grew up saying, I got all these really good ideas, but everyone seems to want their floor clean. And so maybe we should do that.

• 18:19Lex Fridman?

  Yeah, your good ideas.

• 18:20Speaker 01

  Earn the right to do the next thing after that.

• 18:22Lex Fridman?

  So the good ideas have to match with the desire of the people. And then the actual cost has to like the business, the, the financial aspect has to all mesh together.

• 18:33Speaker 01

  Yeah, I, I, um, during our partnership back a number of years ago with Johnson Wax, they would explain to me that

• 18:43Speaker 01

  they would go into homes and just watch how people lived. And try to figure out what were they doing? That they really didn't really like to do, but they had to do it frequently enough that it was top of mind and, and, uh, understood as a, um, a burden. Hey, let's make a product.

• 19:10Lex Fridman?

  Yeah.

• 19:10Speaker 01

  Uh, or, or come up with a solution to make that pain point less, less.

• 19:18Speaker 01

  Challenging.

• 19:19Lex Fridman?

  And sometimes we do certain burdens so often as a society that we actually don't even realize, like it's actually hard to see that that burden is something that could be removed. So it does require just going into the home and staring at, wait, how do I actually live life? What are the pain points?

• 19:38Speaker 01

  Yeah, and it getting those insights is a lot harder than it would seem it should be in retrospect.

• 19:46Lex Fridman?

  So how hard on that point, I mean, one of the big challenges of robotics is driving the cost to something, driving the cost down to something that consumers, people would afford. So people would be less likely to buy a Roomba if it costs $500,000, right? Which is probably sort of what a Roomba would cost several decades ago. So how do you drive, which I mentioned is very difficult, how do you drive the cost of a Roomba or a robot down such that people would want to buy it?

• 20:25Speaker 01

  When I started building robots, the cost of the robot had a lot to do with the amount of time it took to build it. And so that we would build our robots out of aluminum, I would go spend my time in the machine shop, on the milling machine, cutting out the parts and so forth. And then when we got into the toy industry, I realized that if we were building at scale, I could determine the cost of the robot instead of adding up all the hours to mill out the parts, but by weighing it. And that's liberating. You can say, wow, the world is, has just changed as I think about construction in

• 21:08Speaker 01

  a different way. The 3D CAD tools that are available to us today, the operating at scale where I can do tooling and injection mold.

• 21:22Speaker 01

  An arbitrarily complicated part and the cost is going to be basically the weight of the plastic in that part is incredibly exciting and liberating and opens up all sorts of opportunities and for the sensing part of it, where we are today is instead of trying to build skin, which is like really hard. For a long time, I spent creating strategies and ideas around how could we duplicate the skin on the human body because it's such an amazing

• 22:01Speaker 01

  sensor. Instead of going down that path, why don't we focus on vision and how many of the problems that face a robot trying to do real work could be solved with a cheap camera and a big ass computer?

• 22:26Lex Fridman?

  Yeah.

• 22:26Speaker 01

  And Moore's law continues to work. The cellphone industry, the mobile industry is giving us better and better tools that can run on these embedded computers. And I think we passed a, an important moment, maybe two years ago, where you could put machine vision capable processors on robots at consumer price points. And I was waiting for it to happen. We had avoided putting lasers on our robots to do navigation and instead spent

• 23:07Speaker 01

  years researching how to do vision based navigation because you could just see where these technology trends were going. And between injection molded plastic and a camera with a computer capable of running.

• 23:27Speaker 01

  Machine learning and visual object recognition. I could build an incredibly affordable, incredibly capable robot. And that's going to be the future.

• 23:38Lex Fridman?

  You know, on that point with a small tangent, but I think an important one. Another industry in which I would say the only other industry in which there is automation actually touching people's lives today is autonomous vehicles. What the visionary just described of using computer vision and using cheap camera sensors, there's a debate on that of LiDAR versus computer vision. And sort of, Elon Musk famously said that LiDAR is a crutch that really camera in the long term, camera only is the right solution, which echoes some of the ideas you're expressing.

• 24:20Lex Fridman?

  Of course, the domain in terms of its safety criticality is different. But what do you think about that approach in the autonomous vehicle space? And in general, do you see a connection between the incredible real world challenges you have to solve in the home with Roomba? And I saw a demonstration of some of them, corner cases, literally, and autonomous vehicles?

• 24:44Speaker 01

  So there's absolutely a tremendous overlap between both the problems, you know, robot vacuum and autonomous vehicle are trying to solve, and the tools and the types of sensors that are being applied in the pursuit of the solutions.

• 25:05Speaker 01

  In my world, my environment is actually much harder than the environment in automobile travels. We don't have roads. We have T-shirts. We have steps. We have a near infinite number of patterns and colors and surface textures on the floor.

• 25:27Lex Fridman?

  Especially from a visual perspective.

• 25:28Speaker 01

  Yeah, visually it's really tough.

• 25:31Lex Fridman?

  Is infinitely variable.

• 25:35Speaker 01

  On the other hand, safety is way easier on the inside. My robots.

• 25:42Speaker 01

  They're not very heavy, they're not very fast. If they bump into your foot, you think it's funny. And, you know, and autonomous vehicles kind of have the inverse problem.

• 25:55Lex Fridman?

  Right.

• 25:56Speaker 01

  And so that for me saying vision is the future, I can say that without reservation. For autonomous vehicles, I think I believe what Elon's saying about the future is ultimately going to be vision. Maybe if we put a cheap LiDAR on there as a backup sensor, it might not be the worst idea in the world.

• 26:21Lex Fridman?

  So the stakes are much higher.

• 26:22Speaker 01

  The stakes are much higher.

• 26:23Lex Fridman?

  You have to be much more careful thinking through how far away that future is, right?

• 26:27Speaker 01

  Right. But I think that the primary environmental understanding sensor is going to be a visual system.

• 26:39Lex Fridman?

  Visual system. So on that point, well, let me ask, do you hope there's an iRobot robot in every home in the world one day?

• 26:48Speaker 01

  I expect there to be at least one iRobot robot in every home. You know, we've sold 25 million robots, so we're in about 10% of US homes, which is a great start. But I think that when we think about the numbers of things that robots can do, you know, today I can vacuum your floor, mop your floor, cut your lawn, or soon we'll be able to cut your lawn. But there are more things that we could do in the home. And I hope that we continue using the techniques I described around exploiting computer vision

• 27:31Speaker 01

  and low-cost manufacturing that we'll be able to create these solutions at affordable price points.

• 27:39Lex Fridman?

  So let me ask on that point, of a robot in every home, that's my dream as well. I'd love to see that. You know, I think the possibilities there are indeed infinite, positive possibilities. But, you know, in our current culture...

• 27:55Lex Fridman?

  No thanks to science fiction and so on. There's a serious kind of hesitation, anxiety, concern about robots, and also a concern about privacy. And it's a fascinating question to me. Why that concern is amongst a certain group of people is as intense as it is. So you have to think about it because it's a serious concern. But I wonder how you address it best. So from a perspective of vision sensor, so robots that move about the home and sense the world. How do you alleviate people's privacy concerns?

• 28:36Lex Fridman?

  How do you make sure that they can trust iRobot and the robots that they share their home with?

• 28:43Speaker 01

  I think that's a great question. And we've really leaned way forward on this because, given our vision as to the role the company intends to play in the home.

• 29:00Speaker 01

  Really, for us, make or break is can our approach be trusted to protecting the data and the privacy of the people who have our robots? And so we've gone out publicly with a privacy manifesto stating, "We'll never sell your data." We've adopted GDPR, not just where GDPR is required, but globally.

• 29:26Speaker 01

  We have ensured that any, that images don't leave the robot. So processing data from the visual sensors happens locally on the robot, and only semantic knowledge of the home with the consumer's consent is sent up. We show you what we know and are trying to go use data as an enabler for the performance of the robots with the informed consent and understanding of the people who own those robots.

• 30:12Speaker 01

  You know, we take it very seriously and ultimately, we think that by showing a customer that, you know, if you let us build a semantic map of your home and know where the rooms are, well, then you can say, "Clean the kitchen."

• 30:27Lex Fridman?

  Right.

• 30:28Speaker 01

  If you don't want the robot to do that, don't make the map. It'll do its best job cleaning your home, but it won't be able to do that. And if you ever want us to forget that we know that it's your kitchen, you can have confidence that we will do that for you. So we're trying to go and be a sort of a data 2.0 perspective company where we treat the data that the robots have of the consumer's home as if it were the consumer's data and that they have rights to it. So we think by being the good guys on this front, we can build the trust and thus be

• 31:10Speaker 01

  entrusted to enable robots to do more things that are thoughtful.

• 31:17Lex Fridman?

  You think people's worries will diminish over time? As a society, broadly speaking, do you think you can win over trust, not just for the company, but just the comfort that people have with AI in their home, enriching their lives in some way?

• 31:33Speaker 01

  I think we're an interesting place today, where it's less about winning them over and more about finding a way to talk about privacy in a way that more people can understand. I would tell you that today, when there's a privacy breach, people get very upset and then go to the store and buy the cheapest thing, paying no attention to whether or not the products that they're buying honor privacy standards or not.

• 32:00Lex Fridman?

  Right.

• 32:01Speaker 01

  In fact, if I put on the package of my Roomba, the privacy commitments that we have, I would sell less than I would if I did nothing at all. And that needs to change. So it's not a question about earning trust. I think that's necessary but not sufficient. We need to figure out how to have a comfortable set of what is the grade A meat standard applied to privacy that customers can trust and understand and then use in their buying decisions.

• 32:40Speaker 01

  That will reward companies for good behavior and that will ultimately be how this moves forward.

• 32:46Lex Fridman?

  And maybe be part of the conversation between regular people about what it means, what privacy means. If you have some standards, you can say, you can start talking about who's following them, who's not, have more. Because most people are actually quite clueless about all aspects of artificial intelligence, of data collection, and so on. It would be nice to change that, for people to understand the good that AI can do and it's not some system that's trying to steal all the most sensitive data.

• 33:15Speaker 01

  Yep.

• 33:15Lex Fridman?

  Do you think, do you dream of a Roomba with human-level intelligence one day? So you've mentioned a very successful localization and mapping of the environment, being able to do some basic communication to say, "Go clean the kitchen." Do you see, in your maybe more bored moments, once you get the beer, to sit back with that beer and have a chat on a Friday night with the Roomba about how your day went?

• 33:51Speaker 01

  So to your latter question, absolutely. To your former question as to whether a robot can have human-level intelligence, not in my lifetime.

• 34:02Lex Fridman?

  You can have you...

• 34:03Speaker 01

  I think you can have a great conversation, a meaningful conversation with a robot without it having anything that resembles human-level intelligence. And I think that as long as you realize that conversation is not about the robot and making the robot feel good. That conversation is about you learning interesting things that make you feel like the conversation that you had with a robot is...

• 34:40Speaker 01

  A pretty awesome way of learning something. And it could be about what kind of day your pet had. It could be about, you know, how can I make my home more energy efficient? It could be about, you know, if I'm thinking about climbing Mount Everest, what should I know? And that's a very doable thing. You know, but if I think that that conversation I'm going to have with a robot is, I'm going to be rewarded by making the robot happy. If I could have, just put a button on the robot that you could push and the robot would smile and that sort of thing. So I think you need to think about the question in the

• 35:23Speaker 01

  the right way and robots can be awesomely effective at helping people feel less isolated, learn more about the home that they live in and fill some of those lonely gaps that we wish we were engaged learning cool stuff about our world.

• 35:43Lex Fridman?

  Last question. If you could hang out for a day with a robot from science fiction, movies, books, and safely pick, safely pick its brain for that day, who would you pick?

• 35:59Speaker 01

  Data.

• 36:00Lex Fridman?

  Data.

• 36:01Speaker 01

  From Star Trek. I think that A, Data's really smart. Data's been through a lot trying to go and save the galaxy and I'm really interested actually in emotion and robotics. And I think he'd have a lot to say about that because I believe actually that emotion plays an incredibly useful role in doing reasonable things in situations where we have imperfect understanding of what's going on.

• 36:35Lex Fridman?

  In social situations when there's imperfect information.

• 36:37Speaker 01

  In social situations, also in competitive or dangerous situations. That we have emotion for a reason and so that ultimately this, my theory is that as robots get smarter and smarter, they're actually going to get more emotional. Because you can't actually

• 37:03Speaker 01

  Survive on pure logic? Because only a very tiny fraction of the situations we find ourselves in can be resolved reasonably with logic. And so I think Data would have a lot to say about that. And so I could find out whether he agrees.

• 37:18Lex Fridman?

  What if you could ask Data one question that you would get a deep, honest answer to? What would you ask?

• 37:26Speaker 01

  What's Captain Picard really like?

• 37:28Lex Fridman?

  Okay, I think that's the perfect way to end it. Colin, thank you so much for talking today. I really appreciate it.

• 37:34Speaker 01

  My pleasure.