马斯克无滤镜访谈第3部分（花絮）

0:11I want to especially thank you for Starman,

0:13putting Starman in Roadster into space

0:15was the most life changing thing I've ever seen.

0:19Also, I wanted to give you this,

0:20and thank you for allowing this to happen.

0:21This is the Starman Begins episode we just made.

0:25Just a gift.

0:26Thank you.

0:27Thank you.

0:28Thank you for, I mean, the course we're on,

0:30that I was a space geek as a kid,

0:32and I didn't believe anything was gonna happen,

0:34because in the 90s, nothing was happening.

0:36And I didn't even pursue an engineering career

0:39because there was nothing to do in space.

0:40But when I saw that, I was like, I knew that this was real,

0:43and pretty much changed everything I was doing to make this.

0:46All right, cool.

0:47Thank you.

0:48That's great.

0:50Yeah, and do you know how K to B that arose to was in the Falcon Heavy?

0:56I've heard bits of internal war, but never from you.

0:58So I would love to hear this.

1:00Well, normally when there's a new rocket that's launched,

1:02there's something very boring, like a chunk of concrete or something,

1:05is just as, because you don't risk an expensive satellite

1:09on the first launch of a new rocket.

1:12So I was like, hey, guys, we can't put a chunk of concrete.

1:16That's going to be super boring.

1:18That's what boring we do.

1:19No, truly.

1:19They did do it.

1:20In fact, literally, I think it was a chunk concrete or something

1:24that they put on their first launch of the Delta IV or something.

1:28So now we're going to spice it up.

1:31So I was talking to my friend, Jonah Nolan, who's like,

1:35you would like the really good Batman movies

1:38and Westworld and stuff like Crystal, his brother, so.

1:41Oh, wow.

1:43And I was in his kitchen, and he suggested that,

1:46I should put a Tesla in, and I was like, oh, OK,

1:49that's a good idea.

1:50And so I was like, well, I've got one in my garage.

1:52I can use that one.

1:53So it's not serial number one or anything.

1:57It's like later, like 1,500 serial number or something

2:00like that.

2:00And so literally the car that I was driving around LA

2:04is now in orbit around Earth and Mars.

2:07You could track it.

2:08Yeah.

2:12But it was basically like, let's have something that looks

2:14cool instead of boring concrete.

2:16And I really thought there was quite a good chance

2:20to rock with a failure fail.

2:22We've had a number of rocket failures in the past.

2:24So there's so much that can go wrong with a

2:26Falcon Heavy, that's kind of surprising that it'll work.

2:28That goes like, holy crow, I can't believe it'll work.

2:31This is insane.

2:32That was my reaction with the Falcon Heavy launch.

2:35And then the star man was like, well, we've got a car.

2:38I put someone in the car, you know, otherwise like he's driving it, you know.

2:42And so that's where we put the star man in the car.

2:46And then there's the tiny star man in the car.

2:50Yes.

2:51And that was a friend of mine, Nora, who is like, yours should put like a spool, I should

2:57put like the matchbox Tesla on the dashboard with a tiny star man in it.

3:04I was like, okay, we'll do it.

3:07And then I don't know what the aliens are going to think when they discover it.

3:11Clearly they worshiped this thing, and then they made a small version of it because they

3:15worship it so much.

3:17It's like the stuff that we discover of ancient civilizations, the answer might be much more

3:23less serious than we think.

3:26We just think everything's a temple that they worshiped.

3:29Maybe it's not.

3:31It's just like some thing that they made.

3:33It's moved all the way down.

3:34Exactly.

3:35I also have one selfish question, car sharing.

3:39Obviously we're working towards full autonomy,

3:40that's the main goal, but there seems to be a .5 step.

3:44And I'm actually a car share, I have eight Teslas

3:47and one of the other, I'm sharing on Tarot.

3:49And I just feel like there's so many ways

3:51that the Model Y specifically is optimized

3:53and cyber-truck and future are even more optimized

3:56for car sharing.

3:57Is there someone working on that at Tesla?

4:00Our issues for the last few years have been not car sharing.

4:08I guess like a rental car is kind of a car sharing situation.

4:11Sure.

4:12It hurts being a big player now.

4:14Yeah.

4:15We've just been trying to keep the factories operating the last couple of years.

4:19It's been a very difficult thing.

4:22And like supply-shaded eruptions have been severe, like extremely severe.

4:26So it is required all of our attention just to keep the factories going, not to think of

4:34like, at the end of it, like the super hard part for a car company is like,

4:39how do you get revenue above cost so you don't go bankrupt?

4:42And so it's not really like, you know, as long as our demand is enough to absorb the production

4:51and we have production enough to cover our fixed expenses,

4:57then we're in an okay spot.

4:59Right?

5:00I'm thinking about like downtime.

5:01If these cars are traveling 400,000 miles,

5:03sitting in someone's driveway,

5:04they're not gonna collect 400,000 miles before the paints

5:06kind of had any issues.

5:08I imagine that increasing the utilization

5:10of the existing fleet,

5:11obviously, fossil driving does that,

5:13but up until then, if we have car sharing installed to

5:17increase utilization, increase the number of miles

5:19on these vehicles, it's a good thing for the world.

5:21I said that that is a high class problem that, you know, the thing that like car companies,

5:34you should think of car companies as like at any given point they desperately want to

5:38go bankrupt.

5:40Okay, the car company is desperately trying to go bankrupt at any given point in time.

5:45So in order to have that not be the case, you have to have the fact that factories have

5:51to have to be active.

5:52Otherwise you have parts piling up in warehouses all around the world and you can't ship but

5:59if you're missing any parts you can't finish the car and ship it.

6:05So the past two years have been an absolute nightmare of supply chain interruptions, one

6:10thing after another.

6:11And we're not out of it yet.

6:13So that's overwhelmingly our concern is how do we keep the factories operating so we can

6:27pay people and not go bankrupt.

6:30And then everything else is nice to have.

6:39Even recently, the COVID shutdowns in China were very, very difficult.

6:43You guys actually say the least so well that we all think of you as a tech company first which has like you know like

6:48Alec Apple right they make hardware, but they've spent way more money on software

6:52Which I'd even say I've got the perception sometimes if it's like oh, yeah

6:55Things are they've got this just huge stack of bandwidth, but like you're right about of money and hardware moving through this place

7:01But like this factory is losing insane money right now

7:05Because we can't make it we look because we

7:07Like we should be out putting a lot more cars from this factory versus a very puny amount

7:16of cars.

7:18But we had challenges with the 4680 ramp and with the structural pack ramp and then ironically

7:24the tooling because we were able to do 2170 sales with the tooling necessary for making

7:322170 variant cars just stuck in China.

7:35So we have this Shanghai factory in-op.

7:40We've got the tooling to enable this factory stuck in port in China with no one to actually

7:47move it, which basically then caused this factory's production ramp to be very tiny.

7:56Now this is all going to get fixed real fast, but it requires a lot of attention.

8:04And it will take, like I said, it'll take more effort to get the factory to high-volume

8:08production than it took to build it in the first place.

8:11And the same is true of Berlin.

8:12Berlin's in a slightly better position because Berlin started off with the 2170 style and

8:18did not have the 4680 instructional pack risk.

8:25So both Berlin and Austin factories are gigantic money furnaces right now.

8:32Okay, this should be like a giant roaring sound, which is the sound of money on fire.

8:38Okay, that's what...

8:40Dumpster, fire, right?

8:41Dumpster, yeah.

8:42Bigger than a dumpster.

8:43Shonsh is too small.

8:46Gigafactory level, lightly Berlin and Austin are losing billions of dollars right now, because

8:54there's a ton of expense and hardly any output.

8:59So getting roller and orsten functional and getting Shanghai back in the saddle fully

9:05are overwhelmingly out-conserved.

9:09Everything else is a very small thing, basically.

9:15Understanding that this is not of immediate concern, but does a plaid model 3 make sense

9:19to you in your mind?

9:22No.

9:23Could the weight even handle that power strain?

9:26Like its potential.

9:31We're trying to reduce complexity.

9:34I understand.

9:37Yeah.

9:39Okay.

9:41And we're our own worst enemy in adding complexity.

9:45I mean, the grand scheme of things, the Model S and X are, we're doing them not because they

9:51are huge money owners, but really for sentimental reasons.

9:57Like at full output, we're talking about 100,000 cars a year for S and X.

10:04But three in a while we'll do two million plus.

10:09So it's like 10X or more frankly.

10:14I think three and a while probably do three or four million and S and X will top out at

10:19100,000.

10:20Just because the affordability drops off exponentially with price.

10:25So as price rises, you basically,

10:27a number of people that can afford an S or an X,

10:29it doesn't drop by a little, it drops by an order of magnitude.

10:33So a doubling of the price will drop the affordability by a factor of 10.

10:38It's a rough rule of thumb.

10:40Is there any additional thing that we can continue to do?

10:45I mean, we tried to have this with the solar taxing.

10:48I mean, it's probably hard, even like,

10:50I'm asking you, how can we help?

10:52It feels like a weird question.

10:54Well, I mean, the public support is certainly appreciated.

10:57And shooting down the part is always very helpful.

11:04And there's an argument for maybe we should advertise,

11:07because the traditional media will not

11:12run negative pieces about automotive,

11:14because automotive is one of the biggest, if not the biggest,

11:17advertisers in their paper.

11:19So they're like,

11:22the ads could literally be nothing

11:24through the better because of the articles

11:25that are called lessons.

11:26Yes, like this is like,

11:28so Tesla's like basically free game,

11:31whereas it's safe to say that if they run

11:34some negative piece about General Motors,

11:37right next to a General Motors ad,

11:39General Motors parking exactly is gonna call them up

11:42and say, why did you do that?

11:44Do you wanna call it now?

11:46Yeah, exactly.

11:47It's like, yeah, your budget next year,

11:50we'll be spending nothing with your publication as much.

11:52Yeah.

11:52Yeah, exactly.

11:56And they don't have to do that because they know.

12:00So there's a test of understanding

12:03that you don't run hit pieces on your major appetizers.

12:05Yeah.

12:06It's bad for business.

12:07Yeah.

12:08Right.

12:08And people say, oh, this, don't worry.

12:10There's a fire.

12:11This is a trial.

12:12It's a wall between the business and editorial.

12:15I'm like, yeah, but they also know

12:16who's paying their salary, okay.

12:18They don't need like, they're not idiots.

12:21Say whether there's a firewall between me and my boss,

12:24but you don't know me.

12:27Yeah, exactly.

12:28They just know, don't go there.

12:31That's what they know.

12:33But they can go to, they can trash tiles,

12:35like it tells us it's an advertise.

12:37So that's the issue.

12:38So maybe we should advertise it at least, like, you know,

12:43I don't know, it sort of, it doesn't feel right,

12:46but that is something we could do.

12:49I mean, the grand scheme of things though,

12:50like if you look at like,

12:52if you ignore sort of the Stearmendron and say,

12:54just like, okay, well,

12:55is it actually causing us to sell fewer cars?

12:59It doesn't seem to be.

13:01So then why should we care?

13:03Man does not miss you.

13:04So they can actually,

13:06I mean, frankly,

13:07a bunch of the pieces trashing Tesla,

13:11you know, like, especially like,

13:13So like 2017 through 2019, the press was just a non-stop hate stream.

13:19It was like, tesas are fraud, tesas are failure.

13:23Tesas are fraudulent failure.

13:24Tesas are like, you know, thumbing through the puss, the sorest were like bad words to

13:30use.

13:31It was like insane.

13:32You just like, click on like the phone, like the stock ab ticker.

13:38And I remember like, for three years straight, it would just be like headlines just trying

13:43trash and Tesla just all over and over and over again.

13:46And our sales went up.

13:47So I'm like, okay.

13:49Yeah.

13:50So I'm like, I guess, keep trash enough.

13:53You know?

13:55Because at the end of the day people were like,

13:57oh yeah, just keep bringing about Tesla.

13:58I don't know why, but I just keep bringing about it.

14:01I can't remember what the article was about,

14:03but I know I read about Tesla 17 times.

14:05And GM's none.

14:08No, that's good press or whatever.

14:10Yeah, all press is good press.

14:13There's some truth to that, you know?

14:15So, because generally you say,

14:17like of the articles that you read about

14:20a newspaper like last week,

14:22how much content can you remember about those articles?

14:26Really, it's just the headline.

14:27It's sentiment?

14:27Yeah, the headline, vaguely.

14:29People aren't reading the articles.

14:30Yeah, yes.

14:32I don't like there's a big movement on Twitter,

14:34like please read the article before you retweet it

14:37or forward it.

14:37You've retweeted tried to do some flutter.

14:39And everyone's just forward retreating and

14:43forwarding this on the freaking headline.

14:44Even the content says the exact opposite of what the airline is.

14:47And the headline shows by the editor and the writers,

14:51like I didn't even pick the headline.

14:54Literally said the total opposite of what the headline was.

14:56And people don't even know because they just

14:58forwarded the headline.

15:01Actually, one of the best one things that should happen

15:02in Twitter is like every time you click on a news

15:06article, you hit a paywall.

15:07And it's like, how do you do?

15:08Yeah.

15:09super annoying. Yeah, exactly. So you just see the headline. You literally can't read

15:16article. So there's a little sign there that says can't read article. Yeah, and it's like,

15:25I don't want to get a subscription to Philadelphia choir, but I'm sure they have every

15:30on a game and a good article that I'd like to read, but I don't like 18, like 12,000 subscriptions.

15:35And also, they don't even make it easy to get a subscription.

15:39This 18-page process where you tell us everything

15:43about your entire life is what's required to subscribe to

15:46XYZ and newspaper and some, whatever.

15:50Who's going to do that?

15:52Imagine what it would do.

15:53And then I keep losing my password for the ones that I'm

15:55talking about.

15:56And then it opens like Twitter's emulated browsers.

15:58It doesn't even log in anyway.

15:59Yes, exactly.

16:00It's like I actually have a subscription to the New York

16:03Times and the Wall Street Journal.

16:04I'll like open it, I click on the Twitter link,

16:07and I'm like, it's saying that I'm not a subscriber.

16:10So then I have to like click go to the web server,

16:12have it redirect to the app on my phone.

16:14This is Cockamade nonsense, right?

16:16It feels like a problem for Apple, though.

16:17I was literally just about to say it.

16:19Which be, I wonder if it should be the best.

16:20It's just annoying.

16:21It's like a weird one.

16:22I was just trying to figure out what the hell's going on,

16:24and it's like paywall, and then,

16:26everyone thinks I'm fucking paywall,

16:27and then, and you look literally on your website.

16:31It's a simulation.

16:32Yeah.

16:33It's annoying and even when you have the subscription,

16:37it doesn't figure it out.

16:38And I mean, Twitter is totally messed.

16:42If Twitter got in the middle and algorithmically started

16:46deprioritizing content that did that, eventually,

16:48I was saying, when he was saying about Apple,

16:50Twitter could ultimately end up like Apple, which is like,

16:52you want your content that's subscribed to be that way?

16:54Great.

16:54Users can subscribe to Twitter to whatever news is.

16:57And when they click, it's good.

16:58Twitter can, honestly, make a better user experience.

17:00It did get in the middle of that.

17:02I might not pay in a dollar a month with the Atlantic,

17:05as part of a $5 a month Twitter plan.

17:06It gets me all the subscribe news.

17:09Right now clicking a link and going to it,

17:10I just lose my fucking mind.

17:11Yes.

17:12I'm going to Reddit to go find the fucking link with somebody

17:14like poke it all down.

17:15Totally.

17:16I'm gonna call this if that ever happened one day.

17:18No, I think that's the thing I should have.

17:20No, I know.

17:21Like this is definitely like a loss of value here

17:26that is simply missing where it's like,

17:29I understand that all these publications

17:31want to maximize the subscribers and kind of own

17:33their customer and stuff.

17:34But there's a huge number of people

17:38who are never going to subscribe to that publication.

17:41Like let's say, not pick up the Philadelphia Choir,

17:43but let's say you don't love Philadelphia.

17:46So most of the time, you don't want to read the articles.

17:48But every now and again, they've got some reporter

17:50on the scene at some news event,

17:52and they're actually the smallest article.

17:55Everyone else is just copying them and printing their stuff.

17:57And so you want to read the Philadelphia Choir

18:01article, but there's no chance you would become a subscriber.

18:04So they're not losing a subscriber, but they are annoying everyone who's not going to be

18:08a subscriber.

18:09So there's got to be some way to solve that.

18:11I can sort of plug the Twitter or I'll put a couple of those.

18:15Ten cents for this article or something.

18:17Exactly.

18:18One knows point for this article.

18:19It should be like, I'll pay ten cents for this article, whatever, but the answer is

18:2520 cents.

18:26It's like fine.

18:29And that should work.

18:31That's how it should work.

18:32Music artists get paid like that already.

18:34It's being a listen based on the scale

18:35that I've sold out over a lot of dimensions.

18:37This is going to have to go to the compartments.

18:38There's just like this.

18:40And there's no losers here.

18:43In fact, the media company will be a winner.

18:45They won't be incremental revenue.

18:46Over and above those who would never

18:47subscribe to the publication.

18:50And they're going to read the news and not have to stop behind

18:52payables over to Madhouse.

18:54I mean, we don't even have a map that's as good as we chat

18:58in China.

18:59In China, you get like live on WeChat, basically.

19:02It's like, yeah, everyone is like,

19:04they live on WeChat.

19:06You do payments, you do everything.

19:07It's like, yeah, it's great.

19:08Basically, WeChat is kick-ass.

19:10And we don't have anything like WeChat outside of China.

19:13So I was like, my dear, how about if we just copy WeChat?

19:17Hey.

19:18Hey.

19:19Copy them.

19:21Buy a Twitter, copy's WeChat.

19:23Yeah, pretty much.

19:24Yes.

19:25Better user experience.

19:27Well, before you have to go, we should probably get a selfie

19:30or picture with you if you'll find it.

19:31Thank you.

19:32Thank you for telling me.

19:34What do you mean these days?

19:35What am I doing these days?

19:36YouTube and I review electric cars for a living.

19:39I write out those cars on Terro, car sharing.

19:41And I'm considering what it would look like to build an app

19:45that makes that experience better,

19:46because Terro is good, but it is not specialized.

19:49And so now there's so many things

19:51that could do better for the Tesla experience.

19:52If you build it, I'll use it.

19:54And autonomy is just such a monumental breakthrough.

19:58That is just car sharing will just not matter really.

20:01I get that.

20:02I get that.

20:03But the 0.5 step of what do other learnings maybe

20:06do you have there as far as maintaining cars,

20:07who's responsible, those kind of thing.

20:09That's where I think it has.

20:10Yeah, nothing is.

20:11I mean, there will need to be sort of a shepherd of cars.

20:15Exactly.

20:15That's why I'm trying to be at this point.

20:17Car shepherd.

20:17You know, in total, you told people years ago not to try that.

20:21No, I mean, so this is like this.

20:22That was until we're there.

20:24It's not like this, like, cars still need to be like maintained.

20:26Like if it's like, you know, you got to clean the car,

20:29you got to, you know, if it gets scuffed or damaged,

20:32it's got to be, it's like tending a flock of cars.

20:34I don't know.

20:35Very personally.

20:36Yeah, exactly.

20:37So, the also, it's like, I mean, I think it will effectively,

20:41like for people that are currently like, we're

20:44we're all Lyft drivers, it'll be like, OK, like instead

20:46of you driving yourself, you manage, I don't know, 50 cars

20:49or something like that.

20:50And you tend to your flock.

20:52Exactly.

20:52Yeah.

20:54Basically, Ryan has 52 cyber trucks on order.

20:56Oh, really?

20:57OK.

20:58We need to get on that.

21:00I mean, the design at least finally is locked and worked.

21:05For sure locked?

21:06Yes, locked.

21:07For sure locked.

21:09Hands off down.

21:11Yeah, seriously.

21:13We got too carried away with the internet.

21:15That features.

21:18Later on.

21:20I mean last year the chip shortage was so bad that even if we had it wouldn't matter.

21:29You could just rob me one pocket to pay the other pocket.

21:33And we could even could have made the stationary storage stuff because stationary storage batteries

21:37were, they used chips too.

21:40So then we had to like basically start of the powerwall line to make carbs and even then

21:47can make what all the costs would work in me.

21:49So I think Australia from that into China COVID shutdown,

21:54which was really, like not just affecting Shanghai production,

21:59but also like this little, some parts that are made in,

22:03what caused me in California that are parts made of China.

22:06And it was, and we have tooling stock in China as well.

22:10So I think I'm not sure everyone knows how,

22:14just how serious that the COVID shutdowns

22:15for trying to, it's not done yet, by the way.

22:18It's not like major green light yet.

22:21It's cool.

22:24Bumpy, bumpy.

22:24Yeah, it stops a ramp up.

22:26If you were to guesstimate one with the

22:29Cybertruck hit production.

22:31I think it'll next year.

22:32Okay.

22:33We're roughly 12-bunstage.

22:36Okay.

22:37I'm excited.

22:37I'm excited we are for it, man.

22:38I'm so excited.

22:39I've got the start-up thing already.

22:40It's gonna go out and it's out.

22:41I mean, that's what I'll be driving when it's...

22:44Oh, really?

22:45Yeah, absolutely.

22:47I stopped having kids at four because I can't grow.

22:50I can't have a side structure if I'm past that.

22:51So I stopped at four.

22:53That's my man.

22:54I'm done.

22:57Six seats.

22:58You outdid your contribution to society?

23:00Exactly.

23:00Yeah.

23:01I mean, I'm here.

23:01It's like, man, so many friends I have like zero on one kid.

23:06That's why I'm like, I'm always banging the baby drum.

23:09Because I'm like, man, civilization's

23:11going to collapse.

23:13And then.

23:13He'll be killed.

23:14Yeah.

23:15Yeah, like where do you think people come from?

23:17Like some magical fucking people factory?

23:21The stork. The stork.

23:23The stork? The baby stork?

23:26I mean like he's...

23:28They gotta come from somewhere and they take ages to grow.

23:32You know, so unless, you know,

23:37like the thing it has to happen is like once the growth race starts going down, it seems to accelerate in a downward trajectory.

23:43trajectory. Like Japan is leading into carrier. They're about to collapse. No, population

23:48collapse. 90. They lost 600,000 people last year. That negative 600,000. And Japan is

23:54like pretty close to being the longest, like there are live discrepancies like 85. So,

24:01like that's the only thing, that was worth keeping the population plummeting before.

24:05But now despite having like the world's longest lifespan, it's still losing population. To

24:09say something.

24:10I was saying something.

24:12So it seems to me the rate of that decline is such one that's going to be not really able

24:18to be turned around.

24:19We kind of got a plan for what we do in spite of it happening.

24:22Yeah.

24:23Well, if that trend continues, Japan is just going to plan out the spirit as well most countries

24:27in the world.

24:29So it's not like, you know, I'm just saying if that trend continues, hopefully it doesn't.

24:35But if it does, this is going to be, I don't know what China is going to do.

24:39Like, China's going to have, like, a period of time of great prosperity of, like, the next 10 years.

24:45And then, but China's like roughly half a replacement rate.

24:49You know, maybe...

24:50Well...

24:51Because of the one child policy.

24:53They got rid of the one child policy several years ago.

24:56Yeah.

24:57Then made it two child policy.

24:58Now it's a three child policy.

24:59Okay.

25:00Growth rate unchanged.

25:01Really?

25:02Yes.

25:03Well, it's so ingrained in them.

25:04Oh, interesting.

25:05Interesting.

25:06It's a matter of two.

25:07And Japan never had a one-track policy, and they still went that path.

25:10So you should look at the trends.

25:14It's like basically with education and openization,

25:19for great comments.

25:21And there's people like, oh, people can just afford it.

25:24Nope, actually, the places that have the best social safety nets

25:27have the lowest birth rate.

25:29OK, that's not the reason.

25:31Yeah, it says in versus true, right?

25:32The poorer you are, the more kids you have.

25:34Yeah, mostly I think there's a social economic study that says that reason why it is because

25:40parents need comfort.

25:41I mean you can say like, whatever causes, it's hard to say what the cause would be, but

25:51the correlation cannot be argued with.

25:54And the more religious, the less educated and the poorer, the higher the both rate.

26:00So if for lower religious, low on the religion, high on education, and high on income, that

26:11has the lowest birth rate.

26:12Yeah.

26:13Yeah.

26:14I think a reparced the data that's probably an argument to be said, how we got to the

26:17side of the religious, how large of impact on getting to the size of population we did,

26:20because if you study religion, you know, like most of them preach the brief root for multiple

26:24Go go go go numbers. Yeah, multiple the more into the

26:27Multiply yeah

26:44So yeah, hopefully the things turn around

26:47Yeah

26:50But the current trend is is not good for me growth recently

26:54I'm trying to set a good example.

26:56Another reason why we do another civilization on another planet.

26:59Yeah.

27:02The number of number of humans is not training well.

27:05I think a lot of people are under the impression that, like,

27:10you know, the current number of humans is unsustainable on planet,

27:13and this is totally untrue. Yeah.

27:15We could double number of humans and be okay.

27:17That's a little key to the rainforest.

27:19People forget we're animals. If we actually couldn't sustain it,

27:21we would just die off.

27:23Yeah, the population density is actually very low, and most parts of the world have no people in it.

27:29So if you fly out with the country from LA to New York or something, and you look down and say,

27:35what percentage of the time if you dropped a bowling ball would you hit somewhere?

27:38Very low.

27:40How does he really like round down zero?

27:42Really?

27:43Yeah.

27:45You just give him a few cities.

27:47And say, yeah, it's fine.

27:49It's the most objects and you still hit them.

27:51Yeah, you can't even figure out bowling balls.

27:53I feel like we should test this.

27:55Yeah, like if you have a...

27:56It's like sounds of the tools.

27:57You have a cannonball and your goal is to hit a person.

28:01Or die.

28:03And you're going to die.

28:05Because you're not going to...

28:06Because you're landing a bus.

28:07Even in LA, like you think LA's got a lot of people, but you look at the actual...

28:11If you like just look to say what cross-sectional area is human, like the cross-section of...

28:17But you take like several blocks in LA

28:21and make the houses and cars translucent.

28:25And look at, OK, well, looking at from above,

28:28what percentage of the cross section of the area

28:30is humans?

28:32It's almost nothing.

28:33It's below 1% in LA.

28:35Interesting.

28:36Yeah.

28:36Have you ever seen a giant ball of flesh they did

28:38that if you combined every human into it?

28:40In New York City?

28:41You've seen it, right?

28:41The big ball of goo of all humans pushing the one thing.

28:44It would sit in New York.

28:46What's the big park in New York?

28:47Central Park?

28:48It would sit in Central Park.

28:49That's it?

28:50That's it?

28:51And it's a little bit taller than the tallest skyscraper.

28:52It's not very big at all.

28:53It's not like a cuboid of humans.

28:55You put a few points on the volume.

28:57Oh, God, that's not.

28:59What's it?

29:00It's the giant meatball.

29:01It's like a meatball.

29:02It's like a dog.

29:03It's like a dog.

29:04Everyone, it's all of us.

29:06We're just a meatball on the side.

29:08Yeah.

29:09It's a lot to put us to the meme, dude.

29:11There we go.

29:12Yeah.

29:13Actually, it might be a little screenshot without the...

29:16On a single floor, you could fit all humans in New York City

29:20on one floor without even having...

29:23What do you mean on one floor?

29:24I mean like...

29:25Not...

29:25Oh, surface area.

29:26Yeah.

29:27How thick would that human pie be?

29:29No, it's just one human tall.

29:30I'm just saying there's no humans.

29:32Without stacking.

29:33Without stacking.

29:34It's just side by side, do you mean?

29:35Yeah, I just say like, what's cross-sectional area of a human?

29:37Yeah.

29:37I say, okay, there's eight billion of those.

29:39Yeah.

29:39What's the area of New York City?

29:40Oh, it's less than...

29:41You can fit all the humans.

29:42You can stand for all the humans in New York City.

29:44Yeah.

29:45I love the phrase cross-sectional area of a human.

29:47I think there's something you can start from a space.

29:50We're targeting and the cross-section is slow.

29:53So we're going to have to just force the missile

29:56because of that low cross-section of humanity.

29:59That's basically what it comes down to.

30:02So anyway, if you were living in some bustling city,

30:06they think humans must be everywhere.

30:08But actually, there are very few cities.

30:13No place in America has the density of Manhattan.

30:15And then even if you've got like sort of what seems

30:17like a density like LA, the actual cross-sectional area,

30:20that's human is small, like less than 1% of the areas human.

30:25So that means that if you drop accountable,

30:28that didn't bounce too much.

30:30Probably you're hitting a human is extremely low.

30:32Wow.

30:33That's interesting.

30:34We've had pieces from rockets and multiple nations

30:36re-enter the tanks and crash, uncontrolled,

30:39and not hit anybody many times.

30:41So we had the space sort of tragedy, like on entry, it rained debris across the entire United

30:48States.

30:49And I don't think there were any entries at all.

30:52Like the entire, yeah, a lot of debris, and nothing.

30:57I'm scared.

30:58Oh my God, it almost hit me.

31:01Yeah.

31:02They were in Bournables.

31:03Like, they recovered most of the material, Michelle.

31:07Wow.

31:08and zero people were ahead heavily.

31:12And here's an interesting part of that,

31:13is it was going not vertical,

31:15it was going around the earth,

31:16which increases the probability.

31:17No, it's coming in from what was going,

31:20more or less probability on the surface.

31:22And then, and start sort of breaking up,

31:25I believe, over the US.

31:26Like a crop test.

31:27Or at least, certainly, like,

31:29none of the parts fell in the ocean,

31:31and all fell on the cotton on the land, I believe.

31:33So that's it because it's, when you go over it,

31:39you're going parallel to the surface.

31:41You know, roughly 25 times this would be a sound.

31:43So the cells decelerating and breaking apart

31:48as a, and the debris is raining down on the US

31:51and no people will hit.

31:55But there are actually very few humans on it.

32:00I have one FSD related question.

32:02Would it be possible for us to get access

32:05to some folks to give narrative feedback

32:06from the experience we're having?

32:07Some of us drive a shit ton of miles, cross-country,

32:10something about the Texas and back.

32:12And there's things that we saw that there's no button or email

32:15I could possibly send to say, hey, here's what we're,

32:17here's the issues we're seeing.

32:18Here's how they're breaking down.

32:19And more importantly, here's how they're breaking down

32:21across contexts, right?

32:23Like if there was any way, if it would be helpful,

32:25if it's not, then no worries.

32:26But if there's a way to give that narrative feedback

32:29to somebody, I think it might help.

32:32I mean, our goal right now is to get to zero interventions

32:35and point-to-point drives in cities.

32:39So the polish is less important than solving

32:44for zero intervention point-to-point drives in cities.

32:50A sure amount of work required to do this,

32:52bulk is aligned.

32:54And to the best amount of all, just a team,

32:56do we know of anyone who is even trying to pull in us

32:59perhaps we don't know of anyone?

33:01Maybe there is someone.

33:01But I've seen a lot of technology problems

33:09and solving real world AI, such that I

33:12caught the drive itself, is one of the hardest problems

33:15I've ever seen.

33:16And it is way harder than I originally thought by far.

33:20So what would you say to the people that have said,

33:25for several years, you've said it'll be this year.

33:27It'll be next year.

33:28What would you say to those people?

33:29It'll be this year.

33:30Perfect.

33:32We got him.

33:34To put that out.

33:34OK, make hope for six months.

33:37Yeah, I know.

33:38I think it's still tracking for this year.

33:40But as far as the, I'm going more for the.

33:43Yeah, why was I overly optimistic in the past?

33:46I did not understand the scope of the poem.

33:50And you feel you do now?

33:51Yeah.

33:57It's very easy to get close to it working.

34:03and where it feels like it's just, you know,

34:07all right there, just a little further, you know.

34:11And it's like the, you know, the donkey

34:12with the carrot over here,

34:13and it's like, that's why these keep,

34:15you know, pull the cart a bit further faster,

34:18pull the cart faster, maybe that car's gonna come closer.

34:24And frankly, having radar and ultrasonics

34:30was a mistake radar especially,

34:32because radar allows you to get close to solving it

34:37and solve it most of the time,

34:39except when you can't lock the radar

34:42and the visual neural net.

34:47Radar and vision disagree, which one is right.

34:51And so you basically have to get rid of the radar.

34:55And once we got rid of the radar,

34:56which by the way was initially strongly opposed

35:00by the autopilot team,

35:01And now nobody wants to radar back.

35:03Is that right?

35:04Yeah.

35:05I have to lay down the law and say,

35:06that radar is coming out, man.

35:09It is, that radar is a question.

35:12If you carry that question, you can't run.

35:13So it just, the radar would work.

35:18It just, the signal, the radar was contributing more

35:22noise than signal at the end of the day.

35:25So that wasn't creating a contributing signal,

35:27but it was more noise than signal.

35:30And so that's the, it had to be removed.

35:35And once the radar was removed, then it became clear that actually our neural nets are much

35:39worse than we think they are.

35:41So they were being helped by radar too much.

35:47So now just having to use vision, you can't hide behind anything.

35:56vision has to work, the neural net vision has to work. And then there was quite a profound

36:03change to go from bag of points neural net to having a neural net interpret that bag of

36:11points to figure out what a lane center is. And previously we were doing that all in C.

36:17So you know, I mean the neural net architecture is insanely complicated at this point. It's

36:27It's a lot of layers.

36:29And then they'll turn out, oh, actually,

36:33we need to leave this layer, put this layer on.

36:37And we've re-occupied to the neural net so many times.

36:41Here's a question I could have from the outside.

36:43It seems like Tesla has one general autopilot team.

36:47Why not have two competing against Joe?

36:49You did it with Book of Chica and Florida.

36:51Why not have one that still has radar and all the old data

36:55points and a separate team and make them compete.

37:00I think the team does not lack for motivation level or work ethic.

37:03They work super hard and the tells the autopilot sort of software, AI team is like the best software

37:15team I ever worked with.

37:17I'm a harsh judge of technical skill and they are outstanding.

37:22It took a while for us to get there.

37:24We had a lot of false starts with the autopilot team.

37:28And there's like Insulkin Valley,

37:29there's like, I don't know, like 12 people

37:31who say they're a responsible for the autopilot,

37:33but they're not.

37:40Generally good people on our team too.

37:42I still hang out with some of them,

37:44I'll say some of them ski with some of them, good people.

37:47Not often, they're on a lot of time.

37:49Yeah.

37:50Don't worry about the location,

37:51it's like, there's so much energy.

37:52I don't know.

37:52The talent level or the power team is,

37:54I mean, they're just extremely good.

37:59So, at the end of the day, the streets were designed for eyes and biological neural nets.

38:11That's what the entire road system was designed for.

38:14So, therefore, it makes a perfect sense, frankly, that cameras and digital neural nets are required to solve cell-priting.

38:23Basically, after repeat what humans do, but insolicon.

38:31And nothing else will actually solve it.

38:33So I mean, Tesla's actually going to be in a situation where Tesla has a self-driving

38:38solution and no one else is even close, not even for five years.

38:44Licensing?

38:45Yeah, sure, absolutely.

38:46We're not going to stop.

38:48It will need to slap them in the face.

38:54Like, baf, baf.

38:56But like, hey, we think,

38:59it has to be taking sales away from them.

39:02Oh, it'll take sales away from Uber,

39:03it'll take sales away from everything.

39:05So.

39:07It'll be very clear once it's actually delivered,

39:10it'll be very clear that this is the way.

39:12Everyone will know in that moment,

39:14within a month, this is the way.

39:16If they don't already know.

39:18For anyone who has the beta, you've seen the trajectory

39:22of the third one.

39:23It's very clearly going to achieve full self-driving.

39:26It's just a question of this, and debate about when.

39:29But if you say, what is the rate of improvement per unit time,

39:32you can say this is clearly going to get to a point which

39:34is where it's much safer than you.

39:37And it's not far.

39:38Is that point you cross?

39:41And it feels as if we are slowing the progression.

39:45And I want to know that it causes.

39:46So the thing that's sort of hard to appreciate from outside the company is that we'll re-opt

39:55the neural net like put a thousand times.

40:04I mean, the things that I take up the most amount of brain space for me are working on

40:11self-driving and getting Starship to orbit.

40:14those are two things that take up, I don't know, 70%

40:19of my brain space, like something like that,

40:22those two things.

40:24And then there's other things that just don't require as much

40:27sort of brain-sea view cycles.

40:30But a lot of chores, basically.

40:32If I don't do my chores, then shit gets a fan, basically.

40:37I hate doing chores.

40:40So anyway, just basically Autopilot's

40:51absorbing a massive amount of brain cycles.

40:54That and getting started to all of it.

40:57There's two things that are well-mingly,

41:00a super majority of brain cycles.

41:06So the reason that the say 12, but one or whatever,

41:11it didn't seem like it was that great,

41:13was because we refracted somebody

41:15of neural nets that, like to the outside, it seems like two steps forward, two steps

41:20back. And so it feels like we've proven this flat, but actually a whole shit ton of like

41:27we just re-alked in neural net. So like, it's a word for having like an A and a C architecture

41:34to having a C and an A architecture. But now you've improved.

41:38room to grow. Yeah, exactly. So, you know, the, they still, we still don't have a unified

41:47vector space where all of the neural nets pour their output into a single agreed upon

41:53vector space for both fixed and moving objects. So, yes, that's quite important because like,

42:05If they disagree, like if the moving objects in your own net,

42:09like currently, they're fairly separate.

42:12The moving objects network and the static object network,

42:16if they disagree on the position of a car,

42:18then you could say, well, this car

42:21is in a non-drive space position because of a disagreement

42:24between the neural nets.

42:25And then if they're not running at the same frame rate,

42:28you can get a time error as well.

42:31And if cars are moving at 30 meters per second or something,

42:40then you have a 33, 34 millisecond error,

42:47like the cars now moved a lot.

42:50So it's moved a meter.

42:52So a meter is a lot.

42:55Not colliding with something.

42:57It's a ton.

42:58Yeah.

42:58It can be like, is this car driving along?

43:02Let's say there's cars going in on opposite directions.

43:07If that car coming towards you is offset by a meter,

43:09that could be the difference between cladding and not.

43:13And so it could even be a time lag error between one

43:17you're on the next and you're going to have an issue.

43:19So it's not, and the level of it as these neural nets get

43:23very good, they will be much, much better than human.

43:26So it will be able to drive better than James Bond could

43:31possibly drive.

43:33Fortunately, the threshold for succeeding is just being

43:37better than a human.

43:38And humans have really a lot of latency in general.

43:43So it's not actually all that high of a bar when you realize

43:46it.

43:46It's sort of like you think like elevator operators back in

43:48the day.

43:49And yeah, you can be an expert elevator operator, but you

43:52got to flip that relay and get the elevator and the

43:56floor to line up exactly. It's like you're not going to succeed nearly as much as the computer.

44:02So now, if you did have an elevator operator with a big relay switch, you'd think that's pretty

44:07backwards and you'd really prefer to have a button. That's how it will be with the or how

44:16it's good in LPG. Yes, like normally human drives will be like an elevator operator.

44:20That's a good analogy. Yeah. Yeah. And the precision of what a pile will be insane.

44:26After hitting the no interventions on city streets, what's the next benchmark that comes after that?

44:32And I'm assuming it's on some number of miles, some number of drives happening because like for saying true zero then you've reached autonomy, right?

44:40Like true zero.

44:41It's going to be extremely rare to have an intervention.

44:45I mean, driving from my friend's house to New York factory today, I had no interventions.

44:51And actually that's, Orson has, you know, even city streets are on the highway.

44:57So the only one thing I say is like the speed that the car decides on is wrong.

45:03So I had to like, adjust speed several times.

45:06Which is I understand from feedback from the auto pilot team that is considered intervention,

45:09right?

45:10Did you have the pedal accelerator?

45:11No, it's not.

45:12Okay.

45:13I'm not doing that accelerator.

45:14Oh, okay.

45:15Cool.

45:16Gotcha.

45:17The car is going, basically it was generally going too slow.

45:18Gotcha.

45:19And there's definitely going to be a collision with reality

45:22here, because it's like the rolling stop.

45:24In California, everyone does a rolling stop.

45:26It doesn't.

45:27It's a re-roll.

45:29Yeah, you practically at rear-ended if you don't.

45:32Yeah, there's no one at the intersection,

45:35and you squish to a halt.

45:37It's kind of weirdo-ed as that.

45:40So then technically, that's against the law.

45:42So you don't have to go to all up and arms about it,

45:44and said, oh, you have to come to a full zero.

45:49And then because of some rule about the speed,

45:56you can never show the speed below what it really is.

46:01And so you have to err on the side of it being

46:02just slightly above what it really is.

46:04So sometimes it would show one mile an hour,

46:06even briefly, even though the wheel was stopped.

46:11Because of knitzer rules, that's speed.

46:14And then somebody said in a complaint,

46:17so then we had to literally show a picture of the wheel,

46:21a video of the wheel, while showing,

46:23see it says one mile an hour, but that's

46:25because of your rules that make us round up to one mile an hour.

46:28But the wheel is not moving.

46:30Literally, it's been sending the video

46:33to prove that the car wheel is not moving,

46:36even though it says 1MPH, and that says 1MPH,

46:38because of their rules.

46:40So we're getting a lot of complaints about what not

46:47from competitors about Autopilot, because they have no

46:50answer to it.

46:54And they're not thrilled about the idea of licensing it

46:57from Tesla.

46:59That's not like, oh, yeah, let's give our competitor a ton

47:01of money.

47:02It's not the no one objective.

47:04Because the value is just ridiculous.

47:06Yes.

47:07value of a fully self-driving car is like we've never seen before.

47:11Yeah.

47:11Yeah.

47:12Why do you think everyone undervalues self-driving?

47:17I think that the world doesn't really understand the value of it.

47:20Why is that?

47:23Well, it's sort of like, I think if someone's never seen a unicorn or something, you know,

47:29like, but like, it's just a horse with a hornet set.

47:33No big deal.

47:36It's a magical creature.

47:38That's what it basically self-driving sounds like

47:41some magical fiction thing to most people,

47:46until you actually use it.

47:47And then it blows your mind.

47:48So now it would be that hard to use it.

47:51They could just like poke someone who's in the beta

47:53program and it's in the car.

47:54Right now.

47:54They were sharing.

47:56Yeah, seriously.

47:57It wouldn't be that hard to figure it out,

47:59but they're not trying.

48:01And so they're all just thinking that no, self-driving

48:06It's very far away.

48:07Slash, they have invested in some solution that will solve it,

48:10which we want.

48:11No one is pursuing a pure vision AI approach to this.

48:16It also requires a massive amount of labeling,

48:21like custom auto labeling software,

48:26a massive array of training computers.

48:28It's not just the in-car software.

48:30It's all of the training and labeling and debugging

48:32software.

48:33We all wrote all that, too.

48:36Like it didn't exist.

48:38The sheer mass software tells us written,

48:42just in software tools, debugging is insane.

48:47And being able to take the frames of video

48:51and analyze the frames of video and see,

48:52ah, this is where it got the error.

48:54And this is why when the order labeling software

48:56needs to be corrected, and this order labeling

48:59is, in and out itself, a massive thing.

49:01Because we have, I think, 1,500 human labelers.

49:05Wow, yeah, but they're amplified probably by a factor of a thousand by the water label.

49:14At least a factor of a hundred. Wow. So it's more like having a hundred and fifty thousand labor.

49:20It's like it's a lot.

49:23It's huge. It is huge.

49:28And the speed of the order labeling means that like the rate at which you can order label and then...

49:35So when you order labeled an entire video segment,

49:40that's like thousands of frames that you're more labeled.

49:44And then all the human has to do is say, oh, yes,

49:47that's correct, or tweak that line slightly over.

49:52That's it.

49:53And then it corrects the order label.

49:56And you feed that back into the order labeling.

50:00Basically, you train the order label to order label.

50:03and then you have fewer, fewer errors over time.

50:05And of course that human was correct.

50:07No, we don't.

50:10There's a lot of training examples.

50:12And you just trust that the error is.

50:15It's consistently.

50:16Yes.

50:17It's rare for the error to occur.

50:21A number of the improvements have been us going through

50:25the order-lating software and saying,

50:27why is the probability of this thing not much higher

50:31that we think it should be.

50:33And a number of cases, it's been because of a very serious

50:37mislabeling error.

50:38So then what the neural network think is that the vast

50:42majority of the time, the line is over there.

50:44But every now and again, it's over here.

50:46And it's like, no, it's still over here.

50:48That was just a labeling error.

50:50So it actually tries to compensate for statistics.

50:55So it's like, oh, there's an old distribution error.

50:58There's this little hump over here.

51:00No, no, no, there's not a little hump over here.

51:01That's just mislabeling.

51:02Dlete, dlete.

51:03Dlete, dlete, dlete.

51:05Oh, nah, everything's on nod words.

51:09So some of these must, like a significant mislabeling error

51:13can have quite a significant reduction

51:15in the effectiveness of the neural net.

51:17Yeah, for sure.

51:18One thing I saw was walking through.

51:20I was at Target the other.

51:21Literally yesterday, I was walking through the parking lot.

51:23And this old lady was backing up.

51:24Of course, wasn't looking out at all for me.

51:26And she almost hit me.

51:28And what I was going to say is that a lot of the people that

51:31are going to be saved from full self-driving won't know it.

51:36Whether it's my Tesla drive, Dodge, and we were at Best Buy.

51:40We were going to Best Buy today.

51:41We're already way through other people.

51:43Yeah.

51:44By car.

51:45I think that drove me long.

51:46Yeah.

51:47So it's crazy.

51:48But no, it'll be on the song.

51:51I mean, when we saw it down the autopilot path,

51:53I was actually told somebody said, oh, yeah.

51:56Well, you know, somebody said, well,

51:58You're not gonna be gonna get no praise for the whatever 90% of people you save and you can be sued by a 10% of people you don't

52:05So the thing was task yes exactly

52:08So it's like

52:09But the other day I think we just have to put this before jury and say listen you got a belief statistic here

52:15Because it's like if this is like you know

52:18I think highway safety is like an order of magnitude safer than people and it's like it's like these are not small numbers here

52:24You know just they objectively how many crashes were there? Oh, it's 10 times fewer

52:28Okay, so like the company that massively reduces deaths and accidents should not be penalized for the few that do occur.

52:39That's like that would be super messed up.

52:41Because the total full autonomy safety is going to happen.

52:44I mean even with full autonomy there's still not going to be a non-zero number of things because this is a long fall.

52:50Well, like you're still interacting with, you know, like the, it's going to take a long time for the fleet is autonomous.

52:58So like when the fleet is autonomous,

52:59I'd say at that point, the problem,

53:00like accidents will be insanely rare,

53:03like a hundred times less or more than what they are right now.

53:06Like you just have to literally leap into traffic

53:09with no chance of the car at work.

53:11Like it actually like practically is suicide, you know?

53:15So when all the cars are autonomous,

53:18but for a long time, there will be autonomous cars mixed

53:22in with 99.7% non-autonomous cars.

53:27And then that means people will do,

53:30will swerve across traffic, like, so you go down a road.

53:32And somebody with a high speed non-divided road

53:37and a truck just drives into you.

53:41OK.

53:42What are you supposed to do?

53:44Can't avoid that.

53:45Yeah.

53:48And I think people also realize just how many people

53:51are dying out there from basically drivers falling asleep

53:56I mean, Jay's wife was killed by a truck driver that fell asleep.

54:01I forgot about that.

54:02She was on a bike.

54:03She was on a bike.

54:04Yes.

54:05And a truck driver fell asleep.

54:07The truck veered across the road and ran over and killed him.

54:11Yeah.

54:12And if that truck had had a water pilot, it would have stayed in late.

54:17And it would not, it should be a life date.

54:19Wow.

54:20The irony of that.

54:21Yeah.

54:22So anyway, either way, we're just going to keep doing it.

54:26Yeah, got to do it.

54:29It just takes the heat.

54:31I don't.

54:32Well, last thing.

54:34We won't take as much alpha waves or mind share, but a lot of people, a lot of fans and owners

54:41want to know about Apple Music.

54:43You've been avoiding my question on that so I stopped asking.

54:47And what are we looking for here?

54:50What is Apple?

54:53Just another new way for the longest time.

54:56Waypoint.

54:57Thank you for waypoints.

54:59That was the life change.

55:01Thank you for waypoints.

55:02Thank you for waypoints.

55:03Thank you.

55:04Thank you.

55:05Thank you.

55:06Thank you.

55:07Thank you.

55:08Seriously.

55:09Yeah, it could definitely be better.

55:10Come on, man.

55:11It just takes seriously.

55:12Seriously.

55:13I'm sorry.

55:14Come on.

55:15Sure.

55:16I mean, she's just like sick with your calendar and you shouldn't have to type anything.

55:20Yeah.

55:21I had to use my calendar for that to work.

55:23Do you have the calendar sync book and pretty well?

55:26I just don't use the calendar.

55:28He doesn't use the calendar.

55:29That's a general.

55:30Yeah.

55:31For me it's a hit and miss but.

55:32Yeah.

55:33For all that we had to work well, I think I haven't used it in a while.

55:36But it should basically just automatically take you where you want to go without saying.

55:40Yeah.

55:41I just look at the calendar and go based on that essentially.

55:46So Spotify title amazing.

55:48Thank you.

55:49Oh my god, the sample in the new model,

55:50that's when you actually connect it to Wi-Fi.

55:52We made it right before the cyber rodeo.

55:53We were in a parking garage with Wi-Fi.

55:55Oh my god.

55:56Really, I'm lost in audio.

55:57Yeah, title's great.

55:58I love it.

55:59But, uh, ballafians don't have title,

56:02but they do have Apple music, so they've just been asking.

56:04So, low on your side, really.

56:06Like, are you talking about like,

56:08Apple's like car implementation?

56:10No, no, no, no.

56:11No, we say it early.

56:12So Spotify has a subscription that you can pay

56:15to like subscribe to it.

56:16Yeah.

56:17as an Apple music that you can subscribe.

56:19Oh, you mean just not through the phone, basically?

56:21Yes.

56:22Correct.

56:22To the car.

56:22Yeah, exactly.

56:24So just to avoid Bluetooth.

56:26Yeah, correct.

56:27Exactly.

56:28Because then it's still manual.

56:30Yeah.

56:31Yeah.

56:32There's a fair amount of customers who use Apple music.

56:35OK, I'll pursue Spotify.

56:36That's true.

56:37Yeah.

56:38No problem.

56:39I use Apple.

56:39I actually have one of the rare people who

56:41I use, I don't use a gas Spotify.

56:45But I just use Spotify through Bluetooth.

56:48I mean, so I use Apple Music through Bluetooth.

56:50Oh, you do.

56:50So if I play Apple music, I'm just Bluetooth.

56:52Oh.

56:55Yeah.

56:56Doesn't bother you.

56:58Sound quality?

57:00I mean, the sound quality is like,

57:05we can definitely improve the Bluetooth data rate,

57:08if that's the bottleneck we're talking about.

57:10And that would make everyone happy,

57:11but not just the Apple Music voters.

57:13Sure.

57:14Yeah.

57:14I use Spotify, but I still do it through my phone because like that's just how I do my

57:20house. I do it through my phones when I get my sonos in the car and goes through.

57:23Yeah, I'm pleased with them.

57:25I might solve that.

57:26I got the 16 to 32 and make it happen.

57:33No, I'm just sorry.

57:35I'm just still in awe of like this whole experience.

57:39Yeah.

57:40Yeah.

57:41Sorry.

57:42You caught me one of those

57:45Like moments we already have wave lights so I have no feature request

58:01So

58:03Alright, I'm a peasant now with legacy S or have a legacy p100d

58:09So the blind spot camera when you right-click or when you use the blinker

58:14it doesn't show up. So when you reverse though, you know the repeater cameras, they would show up,

58:20they show up in you know all the new ones, but I'm on the legacy X. It's 2018 December.

58:26Show us up, we need to get the car in reverse.

58:28Yes, so it's already there. It's just, it's about the future on the three when you hit the blinker on it.

58:33Yes, yeah, exactly. I love that. I mean, Elon, you responded to me to do it and then it just didn't get on my car.

58:40So it sucked.

58:42It seems like a small number of people, but a value of the feature too.

58:47That's why I said I'm a peasant, but I'm not going to.

58:50It's fine.

58:51I mean, I'm not saying like our resource allocation is perfect because it certainly isn't.

58:55But I mean, one just needs to stack rank the issues by like how much good will this do

59:01times number of people?

59:03And we have a lot of long list of things.

59:08So the, I'm pretty far down the list is like,

59:12you know, adding features to legacy products.

59:15Yeah.

59:16That's why I said I'm a peasant.

59:17How different we were saying that as upgrade?

59:19Oh, come on.

59:20I got free lifetime super treasure, man.

59:21It's, yeah, it's just like, it doesn't make sense for,

59:25you know, future people to.

59:28Yeah, that makes sense.

59:29Like if there was like some factory

59:32that just produced great software engineers,

59:33like you just ordered, like, I would need

59:36a hundred great software shares, then no problem.

59:39But there is seems like there's a very small number

59:41of great software shares.

59:43Makes sense.

59:43And a bunch of the ones that I know are great

59:46got rich to stop working.

59:47Yeah.

59:48I probably know if you're those.

59:50God damn it.

59:50That's why you're trying to bring the price down.

59:52No, stop leaving.

59:54Yeah.

59:55I mean, I know a lot of very capable people,

59:59and once they got rich, they just stopped working.

1:00:01Sure.

1:00:01It's like, I don't know.

1:00:03their life, but they stop coding, and they just,

1:00:10I don't know what they do.

1:00:11Like once them say they invest in stuff,

1:00:14but, you know, yeah, I mean, like,

1:00:21there's a lot of really capable people

1:00:23who are semi-retired that I know.

1:00:29I almost like the weirdo, it was like,

1:00:31I flow work like a maniac,

1:00:33I just wired that way.

1:00:34So, for most people I know, they just pass certain amount of money there.

1:00:40They work, not work there, they do as much less.

1:00:42Well, and this is the interesting thing for this interview.

1:00:44I've never actually heard you say that, like, basically you're an existentialist.

1:00:47I've not heard you say that directly.

1:00:49I've always thought that.

1:00:50I actually basically was studying it in high school.

1:00:52Yeah.

1:00:53Right around the same time I discovered Tesla and I was inspired, I had to do that.

1:00:56And so it's just interesting that, like, yeah, I don't see you ever really retiring

1:00:58just because of the fire that is driving you to work right now.

1:01:02Yeah.

1:01:03I just don't see it happening.

1:01:05Yeah, exactly.

1:01:05So it's like, try to figure out what's going on.

1:01:18Yeah.

1:01:18And then I'll make you yell.

1:01:20Yeah.

1:01:20And then just take the set of actions

1:01:22that are most likely to enable us to figure out

1:01:26what's going on and understand the universe.

1:01:33True.

1:01:34I think if you're not an alien, I just

1:01:35that you're trying to become an alien. You're trying to pursue and find other life potential.

1:01:39He's the best.

1:01:40Yes, we're trying to be the alien.

1:01:41He's trying to be the alien.

1:01:42He's trying to be the alien.

1:01:43He's an alien.

1:01:44He's talking about it.

1:01:45He's talking time.

1:01:46I never thought of it that way.

1:01:47Yeah.

1:01:48At some point.

1:01:49Yeah.

1:01:50Yeah.

1:01:51Aspirinauts are kind of just aliens.

1:01:52Yeah.

1:01:53I mean, it's very, it's very, you know, the story of Paradox is profoundly important question.

1:01:59Um, and this book that's like, I don't know, 50 answers to the story of Paradox or something.

1:02:05And we're not going to get the put out a new one where they can take out some other answers to the funny products.

1:02:10It's quite good.

1:02:12Because it's very troubling that we don't see science aliens.

1:02:17It's very troubling.

1:02:19Something does not have...

1:02:20I used Universe 13.8 billion years old and we see no evidence of any alien positive visitation whatsoever.

1:02:28Nor can we detect any signals or anything like that.

1:02:32Nothing.

1:02:33The only thing I can think is it's time bound.

1:02:35We are the last one that's currently alive, and there may be future ones that become alive,

1:02:39or at least can be perceived as alive in the future.

1:02:42Well, if the universe is, say, 13.8, you know, go like basically 13,800 and something

1:02:48million years old.

1:02:49So you talk about that instant?

1:02:50Well, if you even want to increment the third digit past decimal point, that would be a

1:02:54million years in the future.

1:02:57And civilizations, as much as the start of writing, is 5,000 years old.

1:03:02So.

1:03:04And given current birth rates, too.

1:03:07Yeah.

1:03:12So do you think we're alone?

1:03:15Emily, yes.

1:03:15We're 200 times the length of civilization.

1:03:20What was that one?

1:03:21Yeah.

1:03:22So do you think we're alone?

1:03:23I'm absolutely stating the, I think we're

1:03:26adhered to the scientific method, which is that we have no evidence.

1:03:31Yeah.

1:03:32It's not just our.

1:03:34Just this there is nothing that with no evidence of aliens live whatsoever nothing nothing nothing flat damn nothing

1:03:41Yeah, no signals no

1:03:43You know like all of it would have taken would be for

1:03:47like an alien civilization to put like like a one-inch cube of

1:03:54Pure titanium

1:03:56Like just like just a titanium cube. I'll be like what can aliens man

1:04:00because they sure as well didn't know how to how to refine the ox dyes and and create like a cube of pure titanium

1:04:08But what if that will pure anything pure nickel? How about that?

1:04:11It's my my daily life. Well if we if it when we find the especially the first one will be more like a bacteria

1:04:16We probably won't find you know human like able to modify the world around them. I think we'll find bacteria

1:04:23Yes, I think this this likely like if you look at earth

1:04:26But the Earth was just basically archaic bacteria

1:04:30for a very long time.

1:04:32And it was a huge thing to have mitochondria

1:04:36get incorporated into a cell.

1:04:38And then have that mitochondria also

1:04:41divide when the cell divides.

1:04:42Those are so gigantic.

1:04:46And you just can't have a complex organism really

1:04:49of any size unless you've got a little power plant

1:04:52with mitochondria in your cell.

1:04:54So the mitochondria basically seems to have been like some bacteria,

1:05:00archaic bacteria that got captured, and then essentially when it's symbiosis with the thing.

1:05:05But then the crazy thing is like how does it replicate itself when the cell divides,

1:05:12the mitochondria must divide at the same time.

1:05:15How do the mitochondria absorb that?

1:05:16So there must have been like crazy number of times where mitochondria was absorbed,

1:05:21but did not replicate itself when the cell did.

1:05:25I think that's why I think we'll find bacteria,

1:05:27but guess the follow-up question is,

1:05:28how would we even perceive that

1:05:30if it's further than our sources?

1:05:32How do we perceive bacteria as life

1:05:36if it was outside our sources?

1:05:38Because that's what gives me hope.

1:05:40That it's just so small or different

1:05:42that we just haven't yet been able to look for.

1:05:47Yeah, well, and I think generally we're looking

1:05:49for like life we can talk to, you know, type of thing.

1:05:51Doesn't matter if it's life versus life we can talk to.

1:05:54Yeah, I mean, if we find a planet of trilobites, you know.

1:05:57OK.

1:05:58That's still incredible.

1:05:59You're not quite able to.

1:06:00It's cool.

1:06:01Can't talk to them.

1:06:02It's like simple shelf creatures.

1:06:06Sorry for my baby.

1:06:07It's not at all.

1:06:08And they're probably different.

1:06:09Maybe they'll make it different.

1:06:10Even more.

1:06:11Simple shelf creatures.

1:06:12They're like, OK, we found a wide range of simple shelf creatures.

1:06:16I think that seems quite likely, frankly.

1:06:23Yeah, there we go.

1:06:24Yeah, no, I mean, I say the probability standpoint.

1:06:27I think that's likely.

1:06:28It's like how many civilizations that can actually talk to that are around at the same

1:06:36time as we are around, those appears to be a vanishingly small number, maybe zero, that

1:06:43are in this galaxy.

1:06:45we don't really know of a way to get to other galaxies with current physics.

1:06:49Would you say, given potentially all the unknowns, what are your thoughts on their

1:06:54being like creator?

1:06:55You know, in general I was saying like, if you're going to aim for an evidence-based approach

1:07:05to existence, then you simply say, what is the evidence?

1:07:10And your conclusion should be probabilistic according to the evidence.

1:07:17So there's clearly some, like we don't know what the origins of the universe are.

1:07:23We don't know if this is just, is this a simulation or is somebody's video game?

1:07:26I mean if you look at how at the progress of video games going from simple blocks with

1:07:32Pong to you know 3D rhythm, you know, masterly multiplayer, photorealistic video games, in

1:07:39our lifetime.

1:07:40If that train continues, video games will be indistinguishable from reality.

1:07:46So, I'm saying in our video games, we're saying that this is a remarkable situation with this.

1:07:52You can still be at a single turn of civilization.

1:07:58Yeah, I mean that's the wild thing, right?

1:08:01There's the history of it.

1:08:03Find it.

1:08:04Find it.

1:08:05Something caused the universe to come into being.

1:08:08You know, there's like some uncorbed cause.

1:08:12Like there's some like originate.

1:08:14It's like it came somewhere.

1:08:16It's a whole separate question.

1:08:17Is there someone, some invisible creature

1:08:20or invisible deity judging our actions

1:08:23and deciding whether we're going to go to a good place

1:08:25or a bad place when we die?

1:08:28That doesn't seem to be the case.

1:08:33Or at least it's not clear what the rules are.

1:08:38Because then there'd be a lot of mass murderers

1:08:41and stuff that should have been, I don't know,

1:08:45not enough in a good place.

1:08:47I don't know.

1:08:47It's hard to say.

1:08:49People get very defensive about religion because it's like, you know, they're sort of identify themselves by

1:08:56a particular religion. I'll put out there if you kind of drive yourself by existentialism, it's like

1:09:02replacing that to them. Yeah, it's replacing their purpose for me. Well, it's certainly, it would be a

1:09:12change to say like let's pursue an expansion of consciousness in order to

1:09:23understand the nature of reality whereas if you say no I do I do understand the

1:09:27nature of reality because I believe in this in this religion or that religion

1:09:31and that is that is my explanation for reality which is how a lot of people

1:09:35with your view of things.

1:09:38Yeah.

1:09:40So I'm like, OK, you know, I mean,

1:09:44one doesn't want to get into a religious debate.

1:09:46It's just going to be a different path

1:09:51that people follow if they take religion, face value,

1:09:57versus take the position that we don't know what's going on

1:10:00and we want to find out what's going on.

1:10:02So it's a very different set of actions.

1:10:07I guess what I'm saying, religion lets people believe that they know what's going on already.

1:10:12Yeah.

1:10:15And I don't really have any issue with religion provided that we just generally go in the

1:10:21correction that both is consciousness.

1:10:27And at the end of the day, if religion results in more people being created and the atheist

1:10:34on having kids, then well, it's going to be a self-fulfilling

1:10:38prophecy.

1:10:39Yeah?

1:10:40Those are.

1:10:41Yeah.

1:10:42None of the people around will be religious people.

1:10:44For you.

1:10:45All right.

1:10:48Thank you.

1:10:49Make sure you work.

1:10:50Sure.