ARK Invest Podcast 19 février 2019 Musk discute avec Cathie Wood et ARK Invest de l'autonomie totale de conduite, de la croissance exponentielle et de l'avantage concurrentiel de Tesla sur Waymo.
Musk discute avec Cathie Wood et ARK Invest de l'autonomie totale de conduite, de la croissance exponentielle et de l'avantage concurrentiel de Tesla sur Waymo.
Transcription Zach
Hey, everybody. I'm zach.
Zach
And you're watching in depth on now youw know. So Elon was recently on Cathie Wood's Ark Invest podcast called FYI for your Innovation Episode 11. And we have the link down below because we really urge you to listen to it. It's about 30 minutes of brilliant questions and answers. Cathie Wood, she is the CEO, founder and CIO of ARK Invest, which is a multibillion dollar two tech investment company. Just for your information, we do invest in Ark Invest. Kathy wants companies to invest aggressively, and she thanked Elon for not going private because Kathy believes Tesla needs the public market to raise the funds to scale quickly to exponential growth and reach Elon's goals. All right, so we want to go through kind of a play by play of what was said on this, because a lot of people said about this podcast, well, it was fine. We just heard a bunch of stuff we've already heard before. No need to listen to it. And I feel differently. I feel like we got a lot of nuanced answers, which, if you look at them closely, give you a lot of insight into what's going on.
Jesse
Right? Because, I mean, a lot of times when people get Elon on their show, they're just asking him like, oh, what are electric cars? And Elon's like, okay, electric car is an electric car. And they're like, oh, wow, that's very interesting. And then he's like, yes, it is. And then they're like, so how do you charge it? And he's like, okay, you plug it into this thing called Supercharger, and it works like that. And it's like, okay, great. And then the interview ends, and you're like, oh, I knew everything that I knew beforehand because I follow Elon Musk and I understand what an electric car is. And, you know, people don't get into like, oh, tell me about Autopilot. You know, they don't get into any of the nitty gritty details which we're going to get into.
Zach
Kathy was saying that at Ark Invest, they've done their internal projections, and they see that in 2018, there was 1.3 million EV sales. What do they project in 2023?
Jesse
In 2023, they project 26 million EV sales. That would be about one third of the total global sales in 2023 would be EVs. And they're basing this off of just battery prices, just the. The estimated drop in battery prices that will lead to a 26 million car EV. Sale in 2023.
Zach
Yeah, that's a 20 times increase. And Elon said, sounds about right. Might be off by a year or two, but. But not by much. And so Kathy has done a bear bull analysis for Tesla stock. And so she prices the low end at $700 and the high end at $4,000, based on Tesla sales of 1.6 million units in 2023. And she thinks she's being conservative.
Jesse
Being conservative, $700 is already double what Tesla's worth today. And $4,000 per share is well over 10 times what the stock is worth today. So if she's being conservative and she's giving these numbers, I. My ears are. Have perked up.
Zach
Right. And a lot of people say, well, that can't be. You can't be right, Kathy. And that's because Kathy said people don't understand exponential curves. They don't. They are linear thinkers. And Elon agreed. He said they don't understand the area under the curve. So, for instance, if we take their 2017 car sales in terms of production, it looked pretty small because no matter what you, what line you draw, it was very low to zero. Right. But in 2018, Tesla doubled its fleet. So in 2018, we made and delivered about as many cars as we had in our entire history, said Elon. And that is because they're double their exponential. So Elon said small changes in the calendar breakpoint have enormous percentage differences. The time difference is small, but the percentage difference is enormous.
Jesse
And this is really important when you're looking at S curves. If you slide one way or you slide the other way, if you just sort of slide it and you're. And you can't see beyond, you know, into the, into the future.
Jesse
That whole section all over there is unknowable. And you're just seeing this little. You're going to be like, okay, so it's going to go. And then it's going to go, okay. So in about 30 years, EVs are going to take over. It's like, no, it's going right. It's an exponential growth.
Jesse
You know, we talk about this on the show a lot. They are talking about it on their podcast as well.
Zach
And I mean, Elon said it took six months longer than we thought it would to reach 5,000 cars a week. It was perceived as a massive shortfall. Instead, it was just a calendar shift or a short delay. It wasn't. They couldn't do it. Is that he was off by the timing.
Jesse
Right. And you, you remember these stories. You know, Tesla is never going to reach that 5,000 cars a week number. Bloomberg tracker has them down at 2,000 cars a week. Oh no, Tesla's going to end. It's the end of the. And now they're making like 7,000 cars a week.
Zach
So let's put two points together that didn't get connected here. Elon said my guess for 2021 is 1.5 million cars. That's what Tesla will make, he thinks. And in 2023, just a guess, we do 3 million. Now remember what Cathie just said. Her estimates were based on 1.6 million in 2023. So if Elon is saying that he thinks they're probably going to do more like double that. And she's thinking his stock is going to be at 700 to 4,000.
Jesse
It could be almost double what the stock. I mean, that's double again, which would be, you know, 1400 to 8000. Four to four to 20 times more in terms of stock price, which is crazy. Not that it would necessarily scale one to one, but why not?
Jesse
And let's talk about, I mean, let's talk about this question she just asked him. You know, what, what are your goals? What do you think you're going to hit in 2021 and 2023? We never got this question asked on the earnings calls.
Zach
They're only interested in Q1 of 2019.
Jesse
Right? That's ridiculous. I mean, why are the analysts and why are they on these earning calls if they're not going to ask these sorts of questions, these sort of forward looking questions? They're only talking about quarter. Oh, what happened? What's going to happen next quarter?
Zach
What's going to happen next quarter?
Jesse
What's going to happen last quarter? What happened last quarter?
Zach
Do you know why? Because Wall Street's not interested in anything beyond the quarter. Because they do everything based on the quarter rate. That's why you see these huge fluctuations in stock prices because they're not looking any further ahead. And then when some news comes out, they're like, whoa, what? What?
Jesse
Wow, I didn't see that. That wasn't on my radar. Your radar was like 14ft, dude. You're looking, you know, if you're looking three months into the future, you're not going to see that far.
Zach
Look at this long distance thing that Elon's got going here. He said we think of our cars long term as carriers of Autonomy software. Who's talking about that now? Right? What analyst is talking about the car? Is anything more than selling a car he's thinking of it as a completely different thing. He's going to flick a switch someday, but probably two years from now, turn on the Tesla network and completely change his business model.
Jesse
Right. Because right now, yes, every single analyst, you know, there are some analysts that will talk about Waymo and then they'll talk about Tesla, but they're not going to talk about Autonomy software in Tesla. They just don't bring it up. They do. They're like, oh, they're way behind. According to our, according to our analysis. They are way behind because look at the Waymo cars. They're driving around cities right now. Wow.
Jesse
With no drivers in them. That's crazy.
Zach
Yeah, we're going to get to Waymo in a second.
Zach
But Elon said, I think we'll be feature complete full self driving this year. Meaning the car will be able to find you in a parking lot, pick you up, take you all the way to your destination without an intervention this year. I would say that I'm certain of that. That is not a question mark.
Zach
Now a lot of people said, we've heard this from Elon before. He said that model Threes and S's and X's would be able to drive from, you know, California to New York. And that was two ago. Hasn't done it. So obviously he doesn't know what he's talking about. Elon did answer that. He said, however, people sometimes will extrapolate that to mean now it works with 100% certainty, requiring no observation. Perfectly. This is not the case. Once it is feature complete, then you're sort of the March of nines. Like how many nines of reliability do you want it to be? And then when do regulators agree that it is reliable?
Jesse
So you might be saying March of Nines. What is this? Is this some new show, some new
Zach
movie like March of Nines out this March. March nint. The March of the Nines.
Jesse
It's, it's obviously not that, but basically if you were to take an elevator, right, what is the safety factor of the elevator? Like what is the chance that you're gonna make to the floor that you asked to get to safely? You know, would you get on an elevator if it was 50% safe?
Jesse
No, you wouldn't? How about 75% safe?
Jesse
99.99. Maybe 99.999. You want so many nines at the end of that number because you want it to be absolutely 100% safe. And unfortunately, there are no 100% anythings in this world. 99.9999 is as close as you're basically going to get to it, you know, with some more nines tacked onto the end of it. And so basically what Elon is saying here is that we're going to have all these features. You're going to be able to get into the car and it'll be able
Zach
to drive you someplace.
Jesse
But will it be able to do that with 100% safety or 99.9999-9999-9999% safety.
Zach
Right. And so Elon said, so there's feature complete full self driving this year with certainty. This is something that we control and I manage autopilot and engineering directly every week in detail. So I'm certain of this. Right.
Jesse
So again he's talking about the features.
Zach
So then the question was asked, when will regulators allow with human, human oversight? Elon said, my guess as to when we would think it's safe for somebody to essentially fall asleep and wake up at their destination, probably towards the end of next year. That's when I would think it's most likely safe for that. I don't know when regulators would agree.
Jesse
Okay, so the end of next year he thinks he's going to be at where he considers to be the end of the nines acceptable.
Jesse
That's insane that you, end of 2020,
Zach
go to sleep in your car and
Jesse
it'll drive you to your location because I mean, you can sleep in your car now. It's just you're gonna wake up where you left off, unless you park somewhere illegally, in which case you're probably gonna end up at the impound lot.
Jesse
Yeah, that's insane. The end of next year. Now he's saying he doesn't know when regulators will agree.
Zach
Yeah. And so he was asked this, do you think China would agree first? And Elon said, China regulators are good. So are the US federal regulators. California can be overzealous and Europeans conservative. So I think he was kind of hinting, if you read between the lines, that maybe China would be the first place to allow self driving because probably they're going to just look at the data. Right.
Jesse
And the data is the most important part here. He's, you know, he's saying that like, yes, I can say, you know, oh, there's all these features, but the regulators are going to be like, I don't believe your features. And he needs the data to back it up.
Zach
Elon said People think sometimes that I'm like a business person or finance person or something like that. I'm an engineer. I do engineering, always have.
Jesse
I think this is a really good point, something that he should bring up more, that he's not a business person first. He is an engineer first. He tackles just about every single problem, you know, business, finance or otherwise, like an engineer. And in fact that's why he does so much engineering, because he's an engineer. A lot of people just sort of like to think of him as like a billionaire. Like, oh, he's just some sort of billionaire billionaire. Like, oh, some. Oh boy, that billionaire guy. He's so rich. He is rich, that's true. But he is an engineer.
Zach
Now, a really good question from Tasha, one I haven't heard before. She said, to what degree is consumer use of autopilot important? Elon said, the advantage that we have that is very difficult to overcome is that we have just a vast amount of data on interventions. So effectively the customers are training the system on how to drive. And there are millions of corner cases. They're so obscure and weird, you wouldn't believe it. There's different road markings, different rules in different countries, different expectations. You got rain, snow, sleet, hail, hurricanes, floods, fire, smoke, dust. It's insane. We've got cars in really all those environments. And so every time somebody intervenes, takes over from ap, it saves that information and uploads it to our system. We don't know which car it was. There's no individual attribution for the car. We, we just know that the intervention took place and then we see what is required to fix that intervention. And we're really starting to get quite good at not even requiring human labeling.
Jesse
Okay, this is probably the most important point. If we were to be talking about Tesla autopilot and full autonomy is this is what Tesla has that no other car manufacturer has. Okay, no other car manufacturer, no other basically no other self driving car startup has. Waymo doesn't have this. They have millions and millions of miles of real world driving data with real people driving real cars and real settings, and they're able to basically amass billions and billions of points from billions and billions of billions of miles of data.
Zach
Yeah, they've got hundreds of thousands of employees. I mean, as drivers of the cars, we are basically employees of Tesla getting them data.
Jesse
Right. We're basically all beta testers. This is a beta software and we're accumulating all of this experience. Basically you're able to throw that into a neural network and treat it like experience. So throughout your life, when you've been driving, if you're like, oh, you know, you know, you know the rules, like stop at a stop sign and stuff like that, but it's like, okay, stop at the stop sign, and then maybe, you know, try and lean my head forward so I can see see further down the road. That is experience. Hopefully somebody taught you that, but if you didn't, you probably instinctively learned it yourself.
Zach
And I mean, that's what's so incredible about this podcast. Because that question got to something that's never asked, which is, you know, Waymo and Cruise are always put as, like, the number one companies when it comes to autonomous driving, but they don't have hundreds of thousands of employees or people who bought their cars that can do all this work for them. They've just got a small subset of cars getting them a very limited data set, which in this next question is pointed out, is not even a great data set. So Kathy asked, waymo and Cruise are deterministic. What's going wrong there versus Tesla is probabilistic. And Elon said, essentially a heuristics approach to this will result in a local maximum of capabilities, not a global maximum. I think you really have to apply a sophisticated neural net to achieve a global maximum. And it's why their reliance on LIDAR is unwise. It gets you to a certain point, but no further. Basically a series of if then else statements. And LIDAR is not going to solve it. Forget it, game over. You have to solve vision perception, essentially understanding with vision, and then it's solved. You don't need anything else. No other senses at all. I mean, we drive cars with basically two cameras that aren't very good on a gimbal that doesn't move very fast, and a professional driver will almost never have an accident.
Jesse
Right. This is such an interesting point. He's talking about two different very important points here. You don't need lidar, which is huge, because essentially you can drive a car now with your slightly evolved ape brain with two, you know, pretty crappy cameras. Like, they have pretty good resolution, you know, right in the center of your vision and then out towards the end. No, there's like, not even color. So, I mean, what's the point? Um, and then you're. You're on this swiveling head, which is like, you know, whoa. And your reaction time is like, whoa.
Zach
You know, and you can get distracted and you drink and you text.
Jesse
There's all sorts of problems with people, you know, having a Large number of people on the roads with this. And, and we do it. We just, we've accepted it. We said, okay, yeah, people are sometimes going to crash into buildings and into other cars.
Zach
A million people will die every year. We just accept that.
Jesse
We'll accept that. Here is where we can actually change that. And then here's the second part. This sort of idea that lidar is not going to cut it and this sort of idea that, you know, you can program in every edge case is not the way to do it. It's as if you were trying to program a robot to respond to people talking to it. And so you'd be like, oh, if somebody says hello, it will say hello back. You say, you know, hello. And it would go, hello. Great, Excellent, Awesome. All right, what else could it say? Oh, what is your name? And then it'll say, my name is Robobob. And it would say, my name is Robobob. But as soon as you're like, ask it, you know, some other question. Or like, what if, what if you ask it to what is PI? And it would just start at a 3.141. You know, that's a trope, right? You don't program in that concept. That idea, it didn't learn through experience. You programmed in every action that it could take. And you do, you do that with a self driving car and suddenly, you know, there are four lanes inside of a lane on the highway, which has happened to me before, like there's just paint everywhere and suddenly what's the car going to do? It's going to go like, I must follow all lanes, take all lanes. And it'll just, you know, and you'll go all over the road. It'd be bad. So you need to have a car that can be like, okay, it's one of these great, right?
Zach
You know, before, I've seen this before driving along.
Jesse
I know how to drive. It's probably not going to be so
Zach
angry, but you know, or New Jersey,
Jesse
so New Jersey, ish. But you know, it's going to, you know, it will have tons and tons of experience through the neural net.
Zach
Right. Natasha said, talk about the uniqueness of Tesla's data. Elon said that they basically have 100 times more data than everyone else. Everyone else is closer to 1% of the data that Tesla have. The reason Tesla is making rapid progress is because we have vastly more data. And this is increasing exponentially. As our fleet is increasing exponentially, our data is increasing exponentially.
Jesse
That's another huge point. So I mean, they're already ahead and they're just keep going. Right? Every car that they sell is more. It's a function of more data that they're going to be getting.
Zach
It's awesome. Elon said, Although I've brought it up before, I don't think people really seem to be taking note of the fact that the Tesla AP AI computer is about to roll into production. Anyone who has ordered full self driving will get that for free. I've said it's like an order of magnitude improvement over the Nvidia system that we have, but it's really more like a 2000% improvement. And Kathy backed that up. She said our analysts who spent nine years at Nvidia concluded that Tesla is three years ahead of any auto manufacturer. Now, three years might sound like, oh, okay, just three years. But in the technological curve that we're in, three years I would argue is game over.
Jesse
Yeah, it's like they're from the future. It's like they came out of their time traveling machine, were like, hello, we're from the future.
Zach
Elon talked about the fact that, that their cars with the new hardware will be able to see frame rates of 100 frames per second with full resolution on all cameras and they still haven't gotten it tapped out. Just put that in perspective for a second. So the normal frame rate that humans see at is what?
Jesse
Around. Like you can detect frame rates at around, you know, 120, but you can't like see a very discernible difference beyond that. So I mean, you're basically, you know, you can watch, you're watching this right now at 30 frames per second. This we're talking about three times more and then 10 more frames plus six more cameras. Six more cameras.
Zach
Imagine if you had six more cameras.
Jesse
Imagine if you had seven more eyes for a moment. Just imagine that for a sec. Just let that sink in. You can't, you can't imagine yourself having seven more eyes. Being able to see out of the side of your head and out of the back of your head. You know, people will say like, oh, grandma has eyes in the back of her head. She doesn't, I think. But if she did, that would be a lot of data input.
Jesse
And I mean, and that's the point here. The point is that that's a lot of data input. Imagine having to deal with all of that data. I mean, you can, you're only looking at what, your two eyes. You have two eyes. It's really only, you know, you're only looking at one point at one Time. As soon as you cross your eyes, you're like, I can't do anything right because you, no one can cross their eyes and be like, excellent, let's go. Your brain is only made for looking through two eyes that are looking at same direction. And they have to account for that. They have to, you know, account for parallax of like, I need to look at this finger, so I need to point in and look like an idiot. Like, I'm crossing my eyes.
Zach
And as soon as I do that,
Jesse
I realize, oh, I'm crossing my eyes. Like, there's so much that goes into that which is just hardwired into our brains. But, oh, it's just so exciting.
Zach
It is. So Tasha asked, is hardware capacity fixed or do you need to upgrade every two years? And Elon pointed out something really interesting. He said, we could achieve full autonomy with the Nvidia hardware we have now, but we have to do all sorts of software tricks. But with a 2000% faster computer, we don't have to do any kind of software tricks anymore with the current hardware. With the Nvidia current hardware, we could get full self driving with 50 to 100% safer percentages than a human. But with their new Tesla Hardware Hardware 3, it would be more like 1000% safer.
Jesse
1000% safer than a human driving.
Jesse
Can you imagine that for a moment? You get in a car and it's a thousand times safer than if you, the average friend, were behind the wheel.
Zach
Now, Kathy said, do regulators understand this? Elon said, I think they understand hard data, billions of miles, all the accidents, rates that we'll be able to show them with our cars. And he said, no matter how you slice the data, it is unequivocal at this point that it's safer to have autopilot on. So just today with the car you have now, it's already safer to have autopilot on. Right? That was.
Jesse
But the biggest problem there, of course, is that you can't have autopilot on in all cases right now. It's only on, you know, highways and, you know, roads with clear line markings.
Zach
Now, Kathy said after the first Tesla fatality, regulators really swung in Tesla's favor and she was surprised that more people haven't taken notice of that. And Elon said, it's. It's like a phenomenon. People get overconfident with the system and that's kind of the problem that they have right now is that everyone gets in the car and there's either.
Jesse
I'm not going to trust it at
Zach
all not going to turn it on, right? Or there's like, oh, it's on. I don't even have to pay attention. I'm going to make a phone call. So Tasha asked about Tesla's wider rollout of AP highways versus Waymo is in the cities. And Elon said, well, we started with the highways because that's what matters the most. It gives you the most benefit. There's more miles travel on highways and you travel faster there. So they thought, let's get that right faster, because that'll save more lives.
Jesse
And he said that, you know, you can stop using Waze because basically you could stay on the highway and use Autopilot, even though there's tons of traffic, because it'll take care of the traffic. You don't have to be stressed out about driving in the traffic or taking windy back roads. You can just sort of sit there and be like,
Zach
yeah. I mean, Elon said he's stopped using Waze for just that reason, because he doesn't want to get off into the little back streets. It's so much easier to stay on the highway, like you said. He said that intersections are the next things they're working on. They're really difficult because there's so much ambiguity when you get to a traffic light. I mean, we all know this. When you get to an intersection, they're all different. Like, am I expected to go through this light right now? Because in some places, like when I lived in California, there's like this unwritten rule, like one car goes through on a left, you know, and so it sounds like they're going to try and get it to work in the US first, and that after that, places like Norway will be a priority, because obviously Norway is like one of the biggest Tesla countries in the world.
Jesse
This was a really interesting question that Tasha asked. She said, what do you think of letting other manufacturers build AP on Tesla platforms?
Zach
Yeah. And Elon said it's not easy to work with other traditional manufacturers. They have had them asked to work with them, but then they usually put all these stupid requirements in there, and they're like, we don't want to waste our engineers time working on that. And he said, basically, nobody's banging down our door at the moment, but some of them have used their patents. Right. And Elon said, if there's an automaker out there that wanted to implement the same hardware system as Tesla and use our software, we'd be very open to it, but we're not going to change it.
Jesse
And I think one point to that is, that he's not saying he'll do it for free.
Jesse
It's not like it'll be like, oh, of course, just pay for the cameras. No, no, no. Like you're gonna have to pay to license it to put it in the car. Right. For sure. But he's not saying, no, I'm going to keep it to myself and you'll never be able to get my secret formula. Like, he's not doing that. He's, he's absolutely, you know, saying like, hey, yeah, if you're going to just plop it in, plop it in and we'll, we'll see how much, you know, you're gonna pay.
Zach
Well, because ultimately he cares about people's safety more than dollars. He already admitted he's not a businessman more than he is an engineer. And he's, I would argue he's a humanitarian first.
Jesse
And I would get. Our engineers, I think, are by and large more humanitarian than some business people when I just back away from that one slowly. But I'm just saying, like, in general
Zach
right now, Kathy asked him about cryptocurrencies because, you know, she's very interested in bitcoin and other cryptocurrencies. And Elon said that he made a joke basically that, you know, his account on Twitter got suspended because he jokingly offered, you know, want to buy some bitcoin.
Jesse
And well, and that's preempted because basically after every single one of his tweets,
Zach
if for a long time there, yeah,
Jesse
like the bitcoin, like scammers would, would say like, like they'd make an Elon Musk account or Elon Musk account or Elon Musk E Ion Musk account. And, and say like, hey guys, I'm giving away some bitcoin.
Jesse
Just send me some bitcoin and I'll send you back ten times that much. It was just for the longest time, it was going on for like a year. And then finally, I guess Twitter fixed it, right? Or they ran out of Elon Elon accounts. It was outrageous. But basically, yeah, he made a joke of it and his account got banned.
Zach
And I mean, Elon said that the bitcoin structure and Ethereum is really quite a brilliant idea, but he's not sure it would be a good use of Tesla's resources. And he did say it's quite energy intensive to create incrementally more bitcoin and it bypasses currency controls, which means that it's better than paper for transferring money. But he really didn't seem to want to commit himself. He said that a friend of him gave him like a third of a bitcoin. But he's never. It was interesting at the end of the podcasts are all kind of winding down and Kathy's saying like, you know, you, you're doing, you're making the world a better place.
Jesse
And he laughed at that. Yeah, I think it's telling. I think he watched was the show Silicon Valley. And the kind of, one of the jokes in Silicon Valley is that every company says that they're trying to make the world a better place by like, oh, we make this social app thing that does, you know, it determines if the thing is a hot dog and that's supposed to like, you know, make the world a better place. He laughed at that. But Kathy was like, no, you're really doing it.
Zach
Yeah, we totally agree with you. And you're doing the real thing.
Jesse
Right? And I have to agree with Kathy on that. Like, out of all the companies and out of all the billionaires doing all of the work for making the world a better place, Elon is by and large far and away the biggest contributor to making the world a better place. Especially looking forward, looking into the future as to see what the world could look like in the future.
Zach
What's exciting to me about this podcast is to be reaffirmed by another person that I take, you know, very seriously. What she says, Cathie Wood gets it. She's proven that she gets it. Her track record proves it. We are fanboys on this channel of Elon Musk, right? Everyone comments it all the time. Well, you guys are fanboys, so you can't possibly be unbiased. I don't think that's true. I think that we can look objectively at what is going on because if you look at what Elon's done in the past, he's achieved incredible, incredible things in such a short amount of time. If we look at his rocket company, he's doing things that were completely thought to be impossible just a few years ago. And he's going on to do things which people still think are impossible today. So when he says that he'll have a full self driving car where you can fall asleep in the back and it'll turn up at your destination at the end of next year, I know that sounds crazy and I know it sounds like we must be nuts to be like, well, that probably is going to happen. But here's coming from a guy who's been making pretty much everything he Said, happen, happen. Now, maybe it's not always on time,
Jesse
but it could be that it's in two, three years. Right, but how many other companies are going to actually have that in two, three years? Because Waymo has said that it's going to be a long time before they actually have fully self autonomous cars that can handle all situations.
Jesse
And a lot of analysts look at that and then they look over to Tesla and they go, you're different. What's wrong? Why is that the case?
Jesse
Like, it's because they're approaching it in two completely different ways. I hope we, we covered pretty darn well.
Zach
And I mean, I choose to get up in the morning and be excited about what's coming in in technology and in the future. A world where cars are safe, where cars get you, where you want to go quickly, where there's no pollution. That's what I choose to believe in. Because I'm seeing that it can happen that way. It's just that if we don't believe it, if we don't get behind it, why do you think that's going to help?
Jesse
A lot of what Elon has said is that he wants the world to be exciting. He wants there to be a reason for you to get up in the morning. And I think that that is a really, really good goal. And he's been doing it because it's been exciting. And not only do we get up in the morning every morning, but we also get up in the morning and then we record this show, which takes our entire weekend to script and to, you know, write and to find all of the graphics and the details. And then we finish recording it and then, you know, we have two editors. And the two editors, they go and they edit the entire show together and they have to fix all of our mistakes. And then, you know, sometimes we forget to record our audio. So it wasn't going into our microphones and going into a recorder where, you know, we had to record it all. Again, a lot of work goes into this show and I just want to take a moment to thank our Patreon supporters because, you know, there's a lot of times where it's like, maybe forget it. Yeah, Such as this show when we got about three quarters of the way through it and then we noticed we looked down and oh, the recorder wasn't recording any audio. And it was like, maybe we just don't have an in depth this week. But you know what? It's, it's the Patreons that make that possible. It wouldn't have been worth it for us to sit here for another hour and talk to you about the same things that we had just talked to you about for an hour, except you wouldn't have been able to hear us. It would have sounded like this, and you would have had to just deal with it for the entire episode. But instead, no, we said, you know what? We have patrons. We can't, you know, disappoint them.
Zach
Yeah, we have a level of.
Jesse
We have a level of professionalism that we have to attend to. And so we did. We recorded the entire thing. So I just want to thank our patrons for that. And I want to thank you for watching all the way to the end of this video. We hope you enjoyed it. We do this every single week. So if you're new here, we have Tesla Time News every Monday. We do In Depth this show every Tuesday. We have our Model 3 Tip of the Week every Wednesday.
Jesse
There's lots of other content that we come out with from time to time. So be sure to hit the subscribe button, hit the like button if you like this video, and we'll see you next week.