Every argument clarity score on this site is built from rows on this page. Each
question and answer was assessed with names hidden, the host's own answers included, on
four things from 1 to 5:
directness (does it answer the question asked), coherence (do the ideas follow),
precision (concrete details and clear references), compression (says a lot per word). The weighted
mix (30/30/25/15) is the exchange score. A person's published score averages their exchange
scores on raw tape only, at least 8 of them, shrunk toward the cohort mean.
Full method →
Answered raw tape
D 5 · C 5 · P 5 · Cm 4 4.85
Q And you've taken on obviously a ton of really hard regulatory, really, really hard engineering challenges. One of the hard challenges here is just manufacturing a skill. I guess Toyota has announced recently, like even more investment in you guys. Is that, is that a big part of solving that and like learning how to scale and scale this up?
A Absolutely. Having the world's leading automotive company that's known around the world for, uh, incredible quality and incredible reliability, um, and real attention to detail, having them deeply integrated with us, uh, is, has been, uh, very, very valuable. And then as we look to this, uh, manufacturing ramp, they build roughly ten million automobiles a year of the hundred million automobiles that the world, uh, Builds every year. So, ten million cars. It's a very complex machine. It takes incredible supply chain prowess, uh, and, uh, and doing that with the, again, the consistency and reliability that we're looking for, uh, having their expertise on manufacturing scale as, as we move from tens to hundreds to 1010, tens of thousands of aircraft a year, we think is, Incredibly valuable.
AI assessment note: “Absolutely. Having the world's leading automotive company that's known around the world”
Answered raw tape
D 5 · C 5 · P 4 · Cm 4 4.60
Q Which could be very fun, but why is Joby the answer to it? So you're saying you want to change how everyone gets around. This is not just for like rich people to have fun. Like why is this thing scale to everyone?
A Yeah. So I think of where we are today as similar to where automotive was in Uh, the late 18 nineties and where we were building tens and then hundreds of, uh, cars per year. And then as we drove that, that manufacturing scale, uh, that allowed us to, to bring the price points down. So as we launched the service, we want this to be comparable in place to taking an Uber black. And, uh, then as we drive that manufacturing scale and get to, uh, uh, Hundreds and then thousands and then tens of thousands of aircraft per year, uh, and, and really, you know, leveraging the manufacturing muscle, uh, then we want this to be, become as affordable as driving.
AI assessment note: “as we drive that manufacturing scale... we want this to be, become as affordable as driving”
Answered raw tape
D 5 · C 5 · P 4 · Cm 4 4.60
Q So is the product effectively frozen now? You've iterated a bunch. It's really great. You're not changing anymore. It's ready to go. You're confident in it. What, what, what is the kind of fun engineering stuff you get to do then? Is there, is there like, there's like, does the scale stuff the hard part? Like what, what else do you get to be working on?
A So, uh, we're working on building out the, uh, the vertiport network. So as you look at it, well, one is ramping manufacturing and two is building out the vertiport network. So The thing that's exciting about these kinds of aircraft is compared to, uh, ground-based transportation, whether that's rail or, or, or cars on the road, those are linear. And so if you want to, um, you know, get more capacity, you need more lanes, you need more lanes with this, you can go, you build a new vertiport and you can go to any other vertiport on the network. So it's, you know, it's like an information network or anything at scale, like exponentially, you can go different heights for different lanes. Exactly. Yeah.
AI assessment note: “one is ramping manufacturing and two is building out the vertiport network.”
Answered raw tape
D 5 · C 5 · P 4 · Cm 4 4.60
Q I was pretty crazy. And then you were doing this for even years before that, like, like, like how, what inspired you to take on such a hard and practical problem? And like, how'd you know you were going to be able to be successful? It just seems like impossible to an outsider. Like what, what, what is, what, what got you motivated to keep going and make this work?
A I think that, uh, For me, the only problems that are worth, ah, working on are the ones that are gonna have massive societal level, ah, implications. And, you know, I've always cared about transportation since I was a little kid. I dreamed of building vertical takeoff and landing aircraft. And so, you know, having, ah, started and, and built a number of successful companies before, I felt like this was the best way that I could give back. And, you know, life is short. Um, and so we might as well spend it, uh, solving really big and important problems. Uh, I think this is a really big and important problem and having partners like you and, uh, everyone else that has, uh, had the fortitude to, uh, to really envision this new industry and, uh, and then step by step build it. Uh, that's, that's been an incredible journey. I'm so grateful.
AI assessment note: “only problems that are worth, ah, working on are the ones that are gonna have massive societal”
Not addressed raw tape
D 2 · C 4 · P 3 · Cm 3 3.00
Q What are, what are some of the other engineering challenges you can tell us actually? Cause you've used obviously, you know, everything about how to build these things. What were some of the hard ones in the past you had to figure out?
A So we we've chosen as a company to be incredibly vertically integrated. So we, we want to make the best flight computers. We want to make the best air data computers. We want to make the, the, the best motors. We want to make the best battery packs. We want to make the best actuators. And that when you sum that up, It means that we can build the most performant aircraft. We've taken an approach very similar to what you've seen, uh, you know, with a company like space, SpaceX, um, where by owning the, the entire stack, you're able to build something that's dramatically more performant that, you know, uh, that means that we can move people from A to B, uh, faster, more affordably, and safer. And more quietly.
AI assessment note: “we've chosen as a company to be incredibly vertically integrated.”
Redirected raw tape
D 2 · C 3 · P 2 · Cm 2 2.30
Q Is there anything you changed like three, four, five, six years ago, based on what you learned to like make it even more robust? Like what are the types of things you learn as you do these crazy tests over time?
A Well, that, that is, that's what we've incorporated in. So like we, we began flying full scale, transitioning full scale aircraft in 2017. And we've now gone through multiple iterations that have been about making the aircraft, uh, uh, more reliable and, uh, meeting, ensuring that they meet every single one of the requirements that we've agreed to at the FAA. So we were the first company to achieve stage Complete the stage one of the certification basis. The first, uh, complete stage two, first complete stage three, and now not only Joby, but the FAA is making record progress on stage four. Uh, two quarters ago, we announced that the FAA was, uh, making record progress. This last quarter, we announced that they made even more progress, and that progress is continuing to accelerate where, uh, the lean in from secretary Uh, Duffy and, uh, from acting administrator Chris Rochelo has, has never been greater. Uh, they are, uh, laser focused on ensuring that the U S leads in this, uh, next really critical age of aerospace.
AI assessment note: “we were the first company to achieve stage Complete the stage one”
