WEBVTT - Launching Drone Delivery

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<v Speaker 1>Pushkin. I'm Jacob Goldstein and this is What's Your Problem,

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<v Speaker 1>the show where we talk to entrepreneurs and engineers about

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<v Speaker 1>the future they're going to build once they solve a

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<v Speaker 1>few problems. My guest today is Keenan Wirobek. He's the

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<v Speaker 1>co founder of the drone delivery company zip Line, and

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<v Speaker 1>he has a message for the world. The drones are coming.

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<v Speaker 1>There's going to be more planes and flying cars flying

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<v Speaker 1>the airspace in twenty years by a factor of one

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<v Speaker 1>hundred than there are aircraft flying in the air today,

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<v Speaker 1>flying taxis, aerial pizza delivery. It could all be coming.

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<v Speaker 1>In fact, Keenan's company, zip Line is already doing hundreds

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<v Speaker 1>of drone deliveries a day every day in Rwanda and Ghana.

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<v Speaker 1>But the company has come up against a really interesting,

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<v Speaker 1>kind of surprising problem as it tries to expand the US.

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<v Speaker 1>It's not really a technological problem. It's more a problem

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<v Speaker 1>about the way America thinks about airspace, about the way

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<v Speaker 1>we regulate the sky itself, and this problem it goes

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<v Speaker 1>back to the early days of flight, but it also

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<v Speaker 1>has a huge impact on the present right now. Keenan's

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<v Speaker 1>a robotics engineer by training, and by the time he

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<v Speaker 1>co founded zip Line back in twenty fourteen, he'd already

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<v Speaker 1>worked on a few successful projects. So he was at

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<v Speaker 1>this moment when he could really think hard about what

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<v Speaker 1>his next big thing should be. And he told me

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<v Speaker 1>he went around looking for a problem to solve, kept

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<v Speaker 1>coming up with ideas, but when he went and asked

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<v Speaker 1>experts in the real world, is this a problem, they'd

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<v Speaker 1>be like, actually, no, that is not really a problem

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<v Speaker 1>for us. Finally, his wife pointed him in a new direction.

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<v Speaker 1>My wife's an epidemiologist, and she was telling me to

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<v Speaker 1>see these stories about health campaigns, you know, vaccine campaigns,

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<v Speaker 1>they just get stuck on logistics, and so of course

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<v Speaker 1>the wheels are turning. It's like, okay, maybe drones and

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<v Speaker 1>that actually that that seems like maybe there's a there's

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<v Speaker 1>a real problem to solve here that people are going

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<v Speaker 1>to really care about. Um. But at the same time,

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<v Speaker 1>I will learn you I'm a very skeptical person, so

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<v Speaker 1>it's like, Okay, I'm gonna dig into this, We're gonna

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<v Speaker 1>go learn about this, and I'm just sure there's gonna

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<v Speaker 1>be a thousand reasons why you know, they're never gonna work.

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<v Speaker 1>We can't ever solve this problem. Uh, And so we

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<v Speaker 1>spend a bunch of time and intential America, where my

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<v Speaker 1>wife is from. In Africa, we visited this one medical

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<v Speaker 1>supply warehouse in Tanzania, and outside the warehouse as far

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<v Speaker 1>as you could see, you know, football fields of palette stacked,

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<v Speaker 1>you know, two stories high in places. We're just outside

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<v Speaker 1>this warehouse. We're like, what's why do you have all

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<v Speaker 1>these medical supplies you know, vaccines, pharmaceuticals, other things. Why

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<v Speaker 1>are they outside? And you know, one of the people

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<v Speaker 1>in the delegation sort of quietly because they were kind

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<v Speaker 1>of embarrassed about it, they're like, yeah, that's all expired medicine.

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<v Speaker 1>That was one of those like moments where it clicked

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<v Speaker 1>of like, Okay, supply is actually not the big problem.

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<v Speaker 1>There's actually something much more practical around around how to run,

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<v Speaker 1>you know, how to get this supply from you know,

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<v Speaker 1>point a these warehouses to these doctors. That was one

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<v Speaker 1>of the experiences that kind of just like the bit

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<v Speaker 1>flipped in my head from like this is probably not

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<v Speaker 1>a problem we can solve to like, holy shit, we

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<v Speaker 1>have to solve this problem. And it just became really

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<v Speaker 1>clear you could leap frog over all these factors by

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<v Speaker 1>doing this with drones in an on demand way. So

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<v Speaker 1>this is the rare instance where a robot can solve

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<v Speaker 1>a big important problem in the world that the people

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<v Speaker 1>dealing with the problem actually agree is a big important

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<v Speaker 1>problem exactly. And I'd say that that people agreeing it's

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<v Speaker 1>important problem was another big part of my concern. Right,

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<v Speaker 1>Like in Silicon Valley, we like to use the word

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<v Speaker 1>disruption as a good word. Right, you walk into a

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<v Speaker 1>health system, a national health system of a country and say,

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<v Speaker 1>let's disrupt this, Like nobody is exciting. Yeah, everybody's like,

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<v Speaker 1>here's the door. We're busy. You're like, go' disrupt somebody else,

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<v Speaker 1>Like we have a job to do. I was very

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<v Speaker 1>worried that there just wasn't going to be an appetite

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<v Speaker 1>for change in these health systems. But really the opposite happened,

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<v Speaker 1>where we got started getting to know these health systems

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<v Speaker 1>and the ministers of health in these countries. And I

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<v Speaker 1>still remember the first interaction with the Minister of health

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<v Speaker 1>in Rwanda. She said, Okay, you've got two weeks. You know,

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<v Speaker 1>we've got all the data, like you've been modeling how

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<v Speaker 1>a drone system, like this could work in a health system.

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<v Speaker 1>Put together the case, what's the health impact, what's the

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<v Speaker 1>economic impact, and then we'll go from there, and that

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<v Speaker 1>was just like amazing. The rest is of course history.

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<v Speaker 1>The case was really compelling on the health side and

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<v Speaker 1>the economic side, and they became our first customer. And specifically,

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<v Speaker 1>what is the ask, what is the job? The job

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<v Speaker 1>from Rwanda is deliver blood on demand. The obvious answer

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<v Speaker 1>in the early days like, okay, cool, which drone are

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<v Speaker 1>we going to buy? So went out to all the

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<v Speaker 1>drone companies they could make a drone that could do

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<v Speaker 1>what we wanted. And this was an incredibly frustrating journey

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<v Speaker 1>because the best quote I got for a drone was

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<v Speaker 1>two hundred thousand dollars per drone with a two hundred

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<v Speaker 1>flight warranty if I didn't fly it in the rain.

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<v Speaker 1>And it was like and obviously the economics of that

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<v Speaker 1>are just like don't work at all. And you know,

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<v Speaker 1>the customers want delivery all the time when it's waning

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<v Speaker 1>or this was all really clear and it just became

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<v Speaker 1>this is one of those wake up call moments of like, oh,

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<v Speaker 1>you gotta do this yourself. Um, and getting this first

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<v Speaker 1>product service off the ground for this customer is going

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<v Speaker 1>to be a much bigger lift than than you thought.

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<v Speaker 1>So you realize you're going to have to build your

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<v Speaker 1>own drones from scratch. And one of the things that's

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<v Speaker 1>interesting to me about this part of the story is

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<v Speaker 1>is it right you wind up basically using iPhone parts.

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<v Speaker 1>So the sensors, many of the sensors that make the

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<v Speaker 1>drone fly, Um, you know, these are the same sensors

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<v Speaker 1>that are in your phone. Uh, And that the tech

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<v Speaker 1>like whether or not you know what orientation your phone

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<v Speaker 1>is started for your video is like, so your phone

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<v Speaker 1>knows the videos should be sideways, are playing those which

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<v Speaker 1>way is up? And how to fly without you know,

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<v Speaker 1>falling out of the sky. And it's truly the same

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<v Speaker 1>basically the same sensors. Oh yeah, made by the same companies.

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<v Speaker 1>Like yeah, what if there are others? Can you just

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<v Speaker 1>like rattle off like, oh, sure, what sensors that are

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<v Speaker 1>in my iPhone more or less are in your drones? Yeah?

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<v Speaker 1>So GPS, Uh, the cell modems that are in your

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<v Speaker 1>we have in our drones. Even the basically the processors

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<v Speaker 1>that are in your phone, we use very similar technology

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<v Speaker 1>processing cheap more or less similar exactly. That they're so

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<v Speaker 1>power efficient and they're so capable. It's amazing to me.

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<v Speaker 1>I guess in part because you know, I've gotten used

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<v Speaker 1>to thinking about giant businesses like I don't know, Uber

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<v Speaker 1>or Instagram that like, okay, I guess that those you

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<v Speaker 1>couldn't have without the iPhone, right, that is intuitive to me.

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<v Speaker 1>But the idea that, like, you know, a company sending

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<v Speaker 1>drones across sub Saharan Africa to deliver blood, that that

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<v Speaker 1>is also built on the iPhone is wild. Like you

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<v Speaker 1>needed the cell phone the smartphone revolution. You needed the

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<v Speaker 1>iPhone to have come along and made all these components

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<v Speaker 1>super cheap, super reliable, super smart exactly. So I want

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<v Speaker 1>to try. I want to just talk through in some detail,

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<v Speaker 1>how like one on what do you call it delivery?

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<v Speaker 1>I guess how one delivery works. So some doctor or

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<v Speaker 1>nurse needs something in their hospital. What happens? Yeah, so

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<v Speaker 1>a doctor or nurse needs something, they place their order

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<v Speaker 1>right And by the way, we're really flexible there. They

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<v Speaker 1>can use an app, they can use their phone, they

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<v Speaker 1>can use WhatsApp, they can pick up the phone and

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<v Speaker 1>call us, whatever's easy for them. So our team they're

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<v Speaker 1>they're gonna get the unit of blood out of the

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<v Speaker 1>freezer or fridge. They're gonna get the unit off the shelf,

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<v Speaker 1>they're gonna pack it up, put it into one of

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<v Speaker 1>the drones. The drone gets put into a launcher. And

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<v Speaker 1>I'm gonna pause you there because we have a video

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<v Speaker 1>and I know we're like watching videos on a podcast

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<v Speaker 1>is a questionable move, but let's try it, because like

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<v Speaker 1>I do want to see it. Right, it's a it's yeah,

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<v Speaker 1>it's cool. So you ready, I'm gonna you push play too, Okay, ready,

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<v Speaker 1>go all right? Okay, So, so somebody is loading it

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<v Speaker 1>looks like a plane, a plane about the size of

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<v Speaker 1>a person, onto some kind of a launcher right onto

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<v Speaker 1>like a ramp exactly. Well, there's propellers. The propellers are spinning,

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<v Speaker 1>I like your narration. And then there's a guy. What's

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<v Speaker 1>the guy there doing? Oh, it just launched. He just

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<v Speaker 1>launched it. Yeah, wingspans about ten feet so picture. Yeah,

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<v Speaker 1>it's like a big RC plane. Okay, a big remote

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<v Speaker 1>control plane. And by the way, I mean, it's not

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<v Speaker 1>in fact remote controlled, right, Like what does it is?

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<v Speaker 1>It actually just flying on its own? Yeah, so it

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<v Speaker 1>is flying it's flying automatically all the way out to

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<v Speaker 1>the delivery site. Does that mean there are people whose

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<v Speaker 1>job is to sit somewhere at the warehouse fan in

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<v Speaker 1>office and like look at what a camera from to

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<v Speaker 1>basically do air traffic control, to look at what all

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<v Speaker 1>the drones are doing and make sure that exactly So

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<v Speaker 1>we call our drones zips, and we call those people

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<v Speaker 1>ZIP controllers. Their job is very similar to air traffic control.

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<v Speaker 1>And do they generally have to do anything or do

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<v Speaker 1>the drones take care of themselves? The drones take care

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<v Speaker 1>of themselves. Okay, so here, let's keep watching. So now

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<v Speaker 1>now that drone is going to make the drop. First

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<v Speaker 1>of all, you have to picture a package. So picture

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<v Speaker 1>a cake box, right size package with a paper parachute

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<v Speaker 1>on it that's in the belly of this drone. And

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<v Speaker 1>so the drone flies over the delivery site and when

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<v Speaker 1>it drops it, that paper parachute will inflate and the

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<v Speaker 1>package drifts to the ground a little bit like a cartoon,

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<v Speaker 1>is how I That's how I'm watching it right now. Yeah,

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<v Speaker 1>it worked, It worked. It looks kind of fast, it's

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<v Speaker 1>coming down kind of fast. Yeah, yeah, it's it does

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<v Speaker 1>come down fast. It's a This is the fun of

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<v Speaker 1>the engineering challenge here. If you come down really slowly,

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<v Speaker 1>that accuracy that basically goes gets worse because the wind

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<v Speaker 1>can blow it to the side. More basic, exactly exactly

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<v Speaker 1>if it hit you on the head, it looks like

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<v Speaker 1>it would hurt. I have been a test subject of

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<v Speaker 1>this intentionally to make sure someone who has to do

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<v Speaker 1>it under it. So it hit you on the head.

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<v Speaker 1>Is that what you're telling me? You know what's happening.

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<v Speaker 1>I live to tell the tale. So okay, I'm more seriously,

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<v Speaker 1>has anybody ever gotten hurt by one of your drones? No,

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<v Speaker 1>No one's gotten hurt by one of our drones. But

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<v Speaker 1>there's a lot of engineering work that goes into really

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<v Speaker 1>minimizing the chances that you can get hurt by a drone. Okay,

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<v Speaker 1>tell me about the end of the flight. It doesn't

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<v Speaker 1>land in the way one would think of a little

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<v Speaker 1>plane landing. It doesn't land it. Yeah, So there's like

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<v Speaker 1>two arms sticking into the air. There's two poles sticking

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<v Speaker 1>into the air, and those poles are on motors. Okay,

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<v Speaker 1>so they move up and down, but basically you know

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<v Speaker 1>they're on motors. Between those two poles. Is a string, okay,

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<v Speaker 1>really small string okay. And basically what's happening is our

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<v Speaker 1>drone flies between these two poles and at the last second,

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<v Speaker 1>look the last fraction of a second. Yeah, if everything

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<v Speaker 1>looks good, those poles, the motors on those poles will

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<v Speaker 1>snap those polls up, so the line flings into the

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<v Speaker 1>tailhook of the plane, capturing the plane and that's how

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<v Speaker 1>it lands. That is amazing in a minute, the truly

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<v Speaker 1>surprising reason that it's harder to build a drone business

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<v Speaker 1>in the United States than in Rwanda. Now, let's get

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<v Speaker 1>back to what's your problem. Zipline expanded from Rwanda to

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<v Speaker 1>Ghana a few years ago and now delivers lots of

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<v Speaker 1>medical supplies across both countries. It's like a normal routine

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<v Speaker 1>thing there, hundreds of flights a day every day. But

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<v Speaker 1>the company is just starting to expand into the United States.

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<v Speaker 1>So far, ziplanes work in this country is limited to

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<v Speaker 1>a few pilot projects. They're delivering medical supplies for a

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<v Speaker 1>hospital system in North Carolina. They're also flying stuff like

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<v Speaker 1>bandages and over the counter medicine to Walmart customers in

0:11:24.676 --> 0:11:28.196
<v Speaker 1>rural Arkansas. And in their work in the United States,

0:11:28.436 --> 0:11:32.396
<v Speaker 1>Zipline is facing one particularly hard problem. A lot of

0:11:32.396 --> 0:11:36.676
<v Speaker 1>the challenge comes down to the regulatory environment. In the US,

0:11:36.836 --> 0:11:39.436
<v Speaker 1>our airspace is very old fashioned. We have a philosophy

0:11:39.476 --> 0:11:41.116
<v Speaker 1>here in the US and the airspace where we kind

0:11:41.116 --> 0:11:45.676
<v Speaker 1>of grandfather everything in so not absolutely everything, but mostly everything.

0:11:45.716 --> 0:11:47.276
<v Speaker 1>A lot of things you could do in the forties

0:11:47.356 --> 0:11:49.356
<v Speaker 1>you can still do in the airspace today, and that

0:11:49.396 --> 0:11:51.876
<v Speaker 1>makes things very complicated. Most other countries, basically the way

0:11:51.916 --> 0:11:54.076
<v Speaker 1>they talk about it is, say we have modernized our airspace.

0:11:54.116 --> 0:11:57.116
<v Speaker 1>We've required things like transponders so all planes can tell

0:11:57.356 --> 0:11:59.356
<v Speaker 1>by radio where all the other planes are. We don't

0:11:59.356 --> 0:12:01.156
<v Speaker 1>require that here in So you're telling me there's some

0:12:01.236 --> 0:12:03.876
<v Speaker 1>device that you can put in a plane that allows

0:12:03.916 --> 0:12:06.436
<v Speaker 1>all other planes to know that plane is there, and

0:12:06.436 --> 0:12:07.956
<v Speaker 1>in the US you don't have to have that in

0:12:07.996 --> 0:12:10.756
<v Speaker 1>your plane. That is correct and as crazy as it sounds.

0:12:10.876 --> 0:12:14.956
<v Speaker 1>And so in terms of like regulating airspace, like Ghana

0:12:14.996 --> 0:12:17.596
<v Speaker 1>and Rwanda are doing sort of sensible modern things that

0:12:17.636 --> 0:12:20.996
<v Speaker 1>the US is not doing. That's exactly right, and that

0:12:21.036 --> 0:12:24.796
<v Speaker 1>makes their airspace essentially much simpler to integrate drones into

0:12:25.476 --> 0:12:28.436
<v Speaker 1>versus here in the US. Tell me what other problems

0:12:28.436 --> 0:12:30.676
<v Speaker 1>are you trying to solve what's a technical one that's

0:12:30.716 --> 0:12:34.236
<v Speaker 1>interesting when we're working on that that's extraordinarily hard, which is,

0:12:34.796 --> 0:12:37.716
<v Speaker 1>this comes down to operating in airspaces like the United States,

0:12:37.716 --> 0:12:41.196
<v Speaker 1>where you have planes flying around that don't have you know,

0:12:41.236 --> 0:12:43.436
<v Speaker 1>a radio transponder that tells you where they are, and

0:12:43.476 --> 0:12:46.076
<v Speaker 1>so you have to have sensing on the drone that

0:12:46.236 --> 0:12:50.076
<v Speaker 1>directly senses where these other aircraft are hard to avoid. Okay,

0:12:50.436 --> 0:12:52.036
<v Speaker 1>and this is something that's very hard to do for

0:12:52.076 --> 0:12:55.796
<v Speaker 1>a bunch of reasons. We tried radar and radar that

0:12:55.836 --> 0:12:58.356
<v Speaker 1>can see in all directions. It just you literally need

0:12:58.436 --> 0:13:01.676
<v Speaker 1>hundreds of pounds of radar equipment to see far enough

0:13:01.676 --> 0:13:04.876
<v Speaker 1>in all directions, which of course there drones don't weigh

0:13:04.916 --> 0:13:08.076
<v Speaker 1>hundreds of pounds to begin with. And camera is the

0:13:08.116 --> 0:13:10.476
<v Speaker 1>same problem. So many cameras with so many lenses and

0:13:10.516 --> 0:13:13.116
<v Speaker 1>so many you know, pixels if you will see that,

0:13:13.356 --> 0:13:15.116
<v Speaker 1>you know, that speck in the air, and of course

0:13:15.156 --> 0:13:17.316
<v Speaker 1>cameras they just don't work when it's cloudy, which is

0:13:17.956 --> 0:13:19.636
<v Speaker 1>you know, a big deal. So basically you've had to

0:13:19.636 --> 0:13:22.476
<v Speaker 1>do a sensor technology development from the ground up for this,

0:13:22.556 --> 0:13:26.076
<v Speaker 1>and it's it's something that's been really challenging and really

0:13:26.276 --> 0:13:29.116
<v Speaker 1>really exciting because if we can solve this problem, it'll

0:13:29.236 --> 0:13:32.436
<v Speaker 1>enable scaled operations for drones, you know, around the world.

0:13:33.196 --> 0:13:36.796
<v Speaker 1>So how do you solve it? Are you getting closer?

0:13:36.836 --> 0:13:39.356
<v Speaker 1>We're getting a lot closer. And this is I have

0:13:39.396 --> 0:13:41.236
<v Speaker 1>to tease here because the actual thing I can't talk

0:13:41.236 --> 0:13:44.196
<v Speaker 1>about quite. It's a secret because of like intellectual property,

0:13:44.236 --> 0:13:46.356
<v Speaker 1>because you're going to try and plent it, literally because

0:13:46.396 --> 0:13:48.876
<v Speaker 1>of intellectual property, because we're gonna because we're trying to

0:13:48.876 --> 0:13:51.036
<v Speaker 1>patent it. So let me ask a question. If you

0:13:51.076 --> 0:13:53.156
<v Speaker 1>haven't solved this problem yet, how are you able to

0:13:53.196 --> 0:13:55.796
<v Speaker 1>fly in the US? Yeah? So in the US, and

0:13:55.876 --> 0:13:58.036
<v Speaker 1>this is true of all drone operators in the US.

0:13:58.196 --> 0:14:01.516
<v Speaker 1>Even even everybody who flies drones in the US is

0:14:01.556 --> 0:14:05.636
<v Speaker 1>doing exactly this thing I'm gonna describe, which is not sophisticated.

0:14:05.716 --> 0:14:09.756
<v Speaker 1>There are people along those routes looking at the sky. Wow.

0:14:09.836 --> 0:14:12.556
<v Speaker 1>So wherever your drones flood, you have people who are

0:14:12.596 --> 0:14:14.796
<v Speaker 1>your employees. They are getting paid by the hour to

0:14:14.956 --> 0:14:18.636
<v Speaker 1>look at the sky and what text or something if

0:14:18.636 --> 0:14:20.716
<v Speaker 1>they push a button, if they see exactly they have

0:14:20.716 --> 0:14:23.196
<v Speaker 1>a special app that they can communicate with our controller.

0:14:23.196 --> 0:14:25.196
<v Speaker 1>If they see something and then there's a whole protocol

0:14:25.196 --> 0:14:27.916
<v Speaker 1>around what do And just to be clear, you don't

0:14:27.916 --> 0:14:30.036
<v Speaker 1>have to do this in Rwanda or in Ghana because

0:14:30.076 --> 0:14:33.036
<v Speaker 1>all of the planes flying there have transponders, so the

0:14:33.116 --> 0:14:36.476
<v Speaker 1>drones automatically know when there's another plane. Yeah, and you know,

0:14:36.476 --> 0:14:39.476
<v Speaker 1>we feed our data there into basically their literal air

0:14:39.476 --> 0:14:42.036
<v Speaker 1>traffic control, so they have a view of their whole airspace,

0:14:42.076 --> 0:14:45.116
<v Speaker 1>including all the aircraft with people and all of our drives.

0:14:45.196 --> 0:14:47.156
<v Speaker 1>So wild to me that we don't have that. Maybe

0:14:47.156 --> 0:14:49.836
<v Speaker 1>I'm super naive, I guess obviously I am super naive

0:14:51.356 --> 0:14:54.516
<v Speaker 1>to be surprised by that. Like is there any broader

0:14:54.636 --> 0:14:57.676
<v Speaker 1>lesson from that, Like, is there anything I can conclude

0:14:57.676 --> 0:15:00.556
<v Speaker 1>about the way the United States works, the way regulation

0:15:00.596 --> 0:15:02.356
<v Speaker 1>works here? I don't know. I mean it is some

0:15:02.436 --> 0:15:05.076
<v Speaker 1>of it is a philosophical thing, right like here we

0:15:05.356 --> 0:15:09.836
<v Speaker 1>sort of we sort of romanticize and cherish like sort

0:15:09.876 --> 0:15:12.636
<v Speaker 1>of the old ways of flying, and so we cowboys

0:15:12.796 --> 0:15:16.396
<v Speaker 1>cowboys in the sky and their little cessna or whatever exactly.

0:15:16.596 --> 0:15:18.116
<v Speaker 1>They are pilots I've met who have told me to

0:15:18.156 --> 0:15:19.996
<v Speaker 1>my face, I'm never going to put a transponder because

0:15:20.036 --> 0:15:21.556
<v Speaker 1>that means people know where I am, and some of

0:15:21.556 --> 0:15:24.036
<v Speaker 1>it is also just uh, you know, I think this

0:15:24.076 --> 0:15:25.356
<v Speaker 1>is one of the things I think a lot about

0:15:25.356 --> 0:15:27.436
<v Speaker 1>with this country, right, where As we kind of mature,

0:15:27.716 --> 0:15:29.476
<v Speaker 1>if you will, as a country, right, A lot of

0:15:29.476 --> 0:15:32.636
<v Speaker 1>these countries like Rwanda and Ghana, these are literally young countries.

0:15:33.836 --> 0:15:36.996
<v Speaker 1>Their whole mindset is around growth and becoming, you know,

0:15:37.276 --> 0:15:39.636
<v Speaker 1>and becoming the economic power they want to be in

0:15:39.636 --> 0:15:41.916
<v Speaker 1>the future and things like that, and they're very willing

0:15:41.956 --> 0:15:44.876
<v Speaker 1>to sort of make decisions that are very future focused.

0:15:45.596 --> 0:15:47.556
<v Speaker 1>And I think more and more I see, you know,

0:15:47.636 --> 0:15:49.756
<v Speaker 1>as a as a society right at the balance between

0:15:49.796 --> 0:15:52.116
<v Speaker 1>clinging to the past and and focusing on the future

0:15:52.436 --> 0:15:53.996
<v Speaker 1>and how do you do both in the right way?

0:15:54.076 --> 0:15:56.436
<v Speaker 1>So we so we actually you know, stay who we

0:15:56.476 --> 0:15:58.316
<v Speaker 1>want to be and become who we need to be.

0:15:58.796 --> 0:16:00.636
<v Speaker 1>And that's a that's a tricky thing to do. And

0:16:00.476 --> 0:16:02.316
<v Speaker 1>I see when I sit in a room of the

0:16:02.316 --> 0:16:05.116
<v Speaker 1>fa leadership and they're literally debating this kind of thing,

0:16:05.436 --> 0:16:08.716
<v Speaker 1>like in these kind of terms, the FAA has more

0:16:08.756 --> 0:16:11.796
<v Speaker 1>old as regulations that makes it harder for you to

0:16:11.836 --> 0:16:15.076
<v Speaker 1>do what you do. You're working closely with the FAA,

0:16:15.116 --> 0:16:18.756
<v Speaker 1>and like like where does that sort of land like,

0:16:19.356 --> 0:16:21.676
<v Speaker 1>is there some I know there's no endpoint, but if

0:16:21.676 --> 0:16:24.476
<v Speaker 1>there's some big like step that's going to happen where

0:16:24.516 --> 0:16:28.036
<v Speaker 1>they're going to say, Okay, you can delivered hospitals all

0:16:28.076 --> 0:16:30.236
<v Speaker 1>over the country and like what problems do you have

0:16:30.276 --> 0:16:33.556
<v Speaker 1>to solve for that to happen. Yeah, So the journey

0:16:33.596 --> 0:16:37.396
<v Speaker 1>with the FA, Yeah, it's incremental rights. It's all about

0:16:37.436 --> 0:16:39.396
<v Speaker 1>taking the right next step that leads you to the

0:16:39.396 --> 0:16:41.756
<v Speaker 1>next step that leads you to the next step, both

0:16:41.876 --> 0:16:44.716
<v Speaker 1>for them to get comfortable, for them to learn, for

0:16:44.796 --> 0:16:46.556
<v Speaker 1>us to get to know each other. Literally, there's a

0:16:46.596 --> 0:16:48.196
<v Speaker 1>lot of trust that has to be built between a

0:16:48.236 --> 0:16:51.036
<v Speaker 1>company like Zipline doing something very new and a regulator

0:16:51.076 --> 0:16:53.476
<v Speaker 1>like the FA who you know, to their credit, right,

0:16:53.596 --> 0:16:57.276
<v Speaker 1>the advent of autonomy in the airspace is like the

0:16:57.276 --> 0:17:01.516
<v Speaker 1>biggest change to the airspace literally since flight began. Yeah, right,

0:17:01.516 --> 0:17:03.116
<v Speaker 1>and I mean that in every sense of the word. Right.

0:17:03.196 --> 0:17:05.636
<v Speaker 1>There's going to be more planes and flying cars flying

0:17:05.636 --> 0:17:07.276
<v Speaker 1>in the airspace in twenty years by a factor of

0:17:07.276 --> 0:17:09.036
<v Speaker 1>one hundred than there are aircraft flying the air to

0:17:09.596 --> 0:17:12.876
<v Speaker 1>It's that big of a change. And you know, to

0:17:12.956 --> 0:17:15.036
<v Speaker 1>their credit, like they can't you know, they can't be

0:17:15.076 --> 0:17:16.636
<v Speaker 1>reckless here, this is going to be hard to do,

0:17:17.036 --> 0:17:20.956
<v Speaker 1>and do it safely in a minute, The Lightning Round,

0:17:21.116 --> 0:17:25.116
<v Speaker 1>including Keenan's tips for solving hard problems and the biggest

0:17:25.156 --> 0:17:34.036
<v Speaker 1>misconception most people have about drones. Okay, let's get back

0:17:34.036 --> 0:17:36.436
<v Speaker 1>to the show. We're gonna close with the Lightning Round.

0:17:36.676 --> 0:17:40.836
<v Speaker 1>Are you ready? I'm ready. What is one piece of

0:17:40.876 --> 0:17:43.276
<v Speaker 1>advice you'd give to somebody who is trying to solve

0:17:43.276 --> 0:17:47.076
<v Speaker 1>a hard problem. If it's a hard business or customer problem,

0:17:47.356 --> 0:17:50.676
<v Speaker 1>start with real human customers before you do anything else.

0:17:51.036 --> 0:17:54.716
<v Speaker 1>If it's a technology problem, focus on the hardest part

0:17:54.716 --> 0:17:57.436
<v Speaker 1>of the technology problem, ignore all the rest, and then

0:17:57.476 --> 0:17:58.676
<v Speaker 1>go on to the next hardest and then go on

0:17:58.676 --> 0:18:01.516
<v Speaker 1>the next hardest. What's your favorite app on your phone?

0:18:02.036 --> 0:18:05.116
<v Speaker 1>My favorite app on my phone. I'm sure I have

0:18:05.156 --> 0:18:08.196
<v Speaker 1>such a positive relationship with my phone. Actually, you know,

0:18:08.356 --> 0:18:11.676
<v Speaker 1>recently I I got Nebula. I really like Nebula. I

0:18:11.956 --> 0:18:14.956
<v Speaker 1>don't know Nebula. What is it? It's basically a bunch

0:18:14.956 --> 0:18:18.116
<v Speaker 1>of the more wonkier YouTubers got together and made an

0:18:18.196 --> 0:18:21.756
<v Speaker 1>ad free YouTube for to cheat sidestuff to YouTube algorithm,

0:18:21.796 --> 0:18:24.636
<v Speaker 1>and they just make some great content. Oh great, Yeah,

0:18:24.916 --> 0:18:28.036
<v Speaker 1>that's a good tip. What's the biggest misconception people have

0:18:28.116 --> 0:18:33.036
<v Speaker 1>about drones? Biggest misconception people have about drones. I have

0:18:33.076 --> 0:18:35.636
<v Speaker 1>a good friend who's now worked at SpaceX and zip Line,

0:18:36.116 --> 0:18:38.596
<v Speaker 1>and he likes to joke that rockets are easier than

0:18:38.596 --> 0:18:41.276
<v Speaker 1>people think, and drones are harder than people think. Good.

0:18:41.476 --> 0:18:43.076
<v Speaker 1>A lot of people they look at the little you know,

0:18:43.116 --> 0:18:44.436
<v Speaker 1>they look at a drone that you play with as

0:18:44.436 --> 0:18:45.996
<v Speaker 1>a hobby, and they're like, what's the big deal. Let's

0:18:46.036 --> 0:18:48.116
<v Speaker 1>put a package on the bottom and deliver stuff. And

0:18:48.596 --> 0:18:50.036
<v Speaker 1>I'll be honest, I was a little guilty of that

0:18:50.076 --> 0:18:53.836
<v Speaker 1>too when I started zip Line two, two or three

0:18:53.876 --> 0:18:58.476
<v Speaker 1>more favorite trait and a co worker, Oh easy, someone

0:18:58.516 --> 0:19:01.476
<v Speaker 1>who has a lot of fun when ship gets hard. Yeah,

0:19:01.516 --> 0:19:03.396
<v Speaker 1>it's actually this actually the main thing I interview for.

0:19:03.436 --> 0:19:05.996
<v Speaker 1>It's sort of funny because they're so much fun because

0:19:05.996 --> 0:19:08.236
<v Speaker 1>startups so just like it's one hard thing to the next, right,

0:19:08.316 --> 0:19:10.396
<v Speaker 1>and and people who really are going to enjoy that,

0:19:10.476 --> 0:19:13.116
<v Speaker 1>And are you're gonna have fun with through that? You know?

0:19:13.356 --> 0:19:17.116
<v Speaker 1>People who love the problem? Yeah, exactly. Um, what would

0:19:17.116 --> 0:19:20.436
<v Speaker 1>you do if you couldn't do what you do? Oh goodness,

0:19:20.476 --> 0:19:23.676
<v Speaker 1>I've looked. Yeah, this this is this is interesting if

0:19:23.716 --> 0:19:27.436
<v Speaker 1>I carbon sequestration, how will you know when it's time

0:19:27.476 --> 0:19:30.836
<v Speaker 1>to retire that I have? I have no idea, you know.

0:19:30.916 --> 0:19:33.396
<v Speaker 1>I think the you know, zip Line today is the

0:19:33.396 --> 0:19:35.676
<v Speaker 1>biggest company I've ever worked at by a lot. How

0:19:35.716 --> 0:19:40.956
<v Speaker 1>big is it? Going on? Seven hundred folks? Yeah, um

0:19:41.316 --> 0:19:44.116
<v Speaker 1>and um yeah. You know, if you had asked me

0:19:44.156 --> 0:19:45.556
<v Speaker 1>eight years ago, if I'd still be here when were

0:19:45.556 --> 0:19:48.156
<v Speaker 1>seven hundred people, I would have been like, Nope, that

0:19:48.196 --> 0:19:51.556
<v Speaker 1>doesn't sound like me. So it's a painful growth for sure.

0:19:51.636 --> 0:19:53.716
<v Speaker 1>I work hard at it, and I have a lot

0:19:53.756 --> 0:19:55.956
<v Speaker 1>of awesome people around me who don't hesitate to give

0:19:55.956 --> 0:19:58.516
<v Speaker 1>me feedback, which is, you know, the only way to grow, right. So,

0:19:59.356 --> 0:20:01.476
<v Speaker 1>but at the same time, like it's hard to imagine

0:20:01.476 --> 0:20:08.076
<v Speaker 1>that I can keep up the zip Line forever. Keenan

0:20:08.156 --> 0:20:12.116
<v Speaker 1>Wyrobek is the founder of Ziplan. On the next few

0:20:12.116 --> 0:20:14.316
<v Speaker 1>episodes of What's Your Problem, I'll be talking to people

0:20:14.356 --> 0:20:18.076
<v Speaker 1>about artificial intelligence. What problems do we have to solve

0:20:18.156 --> 0:20:20.756
<v Speaker 1>to get to self driving cars and to chatpots that

0:20:20.796 --> 0:20:23.956
<v Speaker 1>we can actually chat with chatbot's good enough to teach

0:20:24.036 --> 0:20:28.916
<v Speaker 1>us a new language. Today's show was produced by Edith Russelo.

0:20:29.116 --> 0:20:31.916
<v Speaker 1>It was edited by Kate Parkinson Morgan and Robert Smith,

0:20:31.996 --> 0:20:34.796
<v Speaker 1>and it was engineered by Amanda kay Wong. Theme music

0:20:34.796 --> 0:20:37.636
<v Speaker 1>by Luis Garra. Our development team is Lee, Tom Mulad

0:20:37.676 --> 0:20:40.596
<v Speaker 1>and Justine Lang. A huge team of people makes What's

0:20:40.596 --> 0:20:43.916
<v Speaker 1>Your Problem possible. That team includes, but is not limited to,

0:20:44.556 --> 0:20:47.916
<v Speaker 1>Jacob Weisberg, Mia Lobell, Heather Fame, John Schnars, Kerrey Brodie,

0:20:47.916 --> 0:20:52.276
<v Speaker 1>Carli Mcglehory, Christina Sullivan, Jason Gambrell, Brand Hayes, Eric Sandler,

0:20:52.316 --> 0:20:55.916
<v Speaker 1>Maggie Taylor, Morgan Ratner, Nicolemrano, Mary Beth Smith, Royston Deserve,

0:20:55.996 --> 0:20:59.636
<v Speaker 1>Maya Kanig, Danielle Lakhan, Kazia Tan and David Clever. What's

0:20:59.636 --> 0:21:03.116
<v Speaker 1>Your Problem is a co production of Pushkin Industries and iHeartMedia.

0:21:03.396 --> 0:21:06.636
<v Speaker 1>To find more Pushkin podcast listen on the iHeartRadio app,

0:21:06.836 --> 0:21:10.756
<v Speaker 1>Apple Podcasts, or where I'm Jacob Goldstein and I'll be

0:21:10.876 --> 0:21:13.756
<v Speaker 1>back next week with another episode of What's Your Problem,