Latest / Elon Musk Thinking / Latest Speech of Elon Musk: What's the future looks like?

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Latest Speech of Elon Musk: What's the future looks like? · Elon Musk Thinking

0:05
Speaker 1: So one of the things that may seem like, how
0:07
Speaker 1: do you how do you pull it all together? Is
0:10
Speaker 1: you know, where does AI and robots fit in this
0:12
Speaker 1: sort of sustainable energy picture, Like is that just like
0:16
Speaker 1: some weird side project or or what you know? But
0:21
Speaker 1: it's it's because what we're really aiming for here is
0:26
Speaker 1: maybe a better way to think about rather than sustainable energy,
0:29
Speaker 1: is sustainable abundance for all. So if you think about, like,
0:34
Speaker 1: what is the future that would what's what's the most
0:38
Speaker 1: exciting future that you could possibly imagine? Like what does
0:43
Speaker 1: that future look like? It's worth thinking about that. Just
0:46
Speaker 1: this thing, just just just imagine a future. What does
0:52
Speaker 1: that that amazing future look like? How about a future
0:56
Speaker 1: where you can have any good or service you want
1:00
Speaker 1: at will? A future of abundance for all where really
1:07
Speaker 1: anyone can have anything. It sounds impossible, It sounds like
1:11
Speaker 1: surely such a thing cannot be the case. But what
1:14
Speaker 1: I'm here to tell you is that that will indeed
1:16
Speaker 1: be the case. That the future we're headed for is
1:20
Speaker 1: one where you can literally just have anything you want. Like,
1:25
Speaker 1: if there's a good or service you want, you'll be
1:26
Speaker 1: able to have it, and ultimately everyone in the world
1:31
Speaker 1: will be able to have anything they want.
1:36
Speaker 2: What's key to that is robotics and AI.
1:39
Speaker 1: So once you have self driving cars and you have
1:42
Speaker 1: autonomous humanoid robots, where everyone can have their own personal
1:47
Speaker 1: C three PO and R two D two. But even
1:49
Speaker 1: better than that, that's Optimus. You can imagine like your
1:54
Speaker 1: own personal robot buddy that is a great friend but
1:59
Speaker 1: also takes care of your house. Will will clean your house,
2:03
Speaker 1: will mow the lawn, will walk the dog, We'll teach
2:07
Speaker 1: your kids, will babysit, and and and we'll also also
2:14
Speaker 1: enable the production of goods and services, uh, basically with
2:19
Speaker 1: no limit. And when you combine that with just sustainable
2:24
Speaker 1: energy from the sun and batteries, we can also at
2:27
Speaker 1: the same time also maintain a great environment. So that's
2:32
Speaker 1: I think, is the future that we that we want.
2:35
Speaker 1: A future where nobody's nobody's in need. You can have
2:40
Speaker 1: what you want, and we still but we still have nature.
2:44
Speaker 1: We still have a you know, the the beautiful parts
2:48
Speaker 1: of nature that that we like. I think that's probably
2:54
Speaker 1: the best future. I can't like, what other future would
2:57
Speaker 1: you want? I think that's like the cool future. And
2:59
Speaker 1: also space, well let's not forget that. So if you
3:03
Speaker 1: can have basically anything you want and travel to space
3:07
Speaker 1: and go to Mars, and that would be.
3:09
Speaker 2: That's about as good as it gets, you know. It's like,
3:12
Speaker 2: that's it.
3:13
Speaker 1: So that's really what we're what we're trying to do
3:17
Speaker 1: is take the set of actions most likely to lead
3:20
Speaker 1: to a great future for all. So that's what I
3:23
Speaker 1: mean by sustainable abundance, and the combination of things that
3:30
Speaker 1: we're making with Optimists and AI and AI Compute will
3:36
Speaker 1: achieve an age of abundance for all. Like actually, so
3:45
Speaker 1: it's gonna be pretty great. And Model I became the
3:51
Speaker 1: best selling vehicle in the world. You know, FI, we
3:56
Speaker 1: do make the best you know. Yeah, it's how we're
4:08
Speaker 1: doing our popularity. Will We actually literally make the best
4:10
Speaker 1: selling car on Earth of any kind. So that's it's
4:15
Speaker 1: for two years in a row. So and it's going
4:18
Speaker 1: to be the best selling car on Earth again this year.
4:22
Speaker 1: So the cyber truck became the best selling electric vehicle
4:31
Speaker 1: pickup instantly because it's awesome. And Tesla was the best
4:38
Speaker 1: selling electric vehicle in Europe, the fastest growing brand in
4:42
Speaker 1: South Korea, and we launched in a lot of new markets,
4:45
Speaker 1: including Qatar, Lithuania, Chile, and the Philippines, and we'll be
4:48
Speaker 1: opening in a whole bunch more markets as well, so
4:51
Speaker 1: Tesla's will be available worldwide. So overall, you know, it's good.
4:58
Speaker 1: If you read the news, it feels like, you know,
4:59
Speaker 1: on a so I was like, I can't walk past
5:03
Speaker 1: the TV without seeing a Tesla on fire, Like what's
5:06
Speaker 1: going on? You know some people that's like, listen, I
5:09
Speaker 1: understand if you don't want to buy our product, but
5:11
Speaker 1: you don't have to burn it down. That's a bet unreasonable,
5:13
Speaker 1: you know, like.
5:17
Speaker 2: Like this is psycho. Stop being psycho. Okay.
5:24
Speaker 1: So uh and we've launched the new model. I congrats
5:27
Speaker 1: to the team on on Fast, so you know that
5:36
Speaker 1: that's that's obviously very tough because we've got factories all
5:40
Speaker 1: across the world and we've got to change over a
5:42
Speaker 1: global supply chain on three three three basically three supply
5:46
Speaker 1: chains on three continents. And I think it did an
5:51
Speaker 1: amazing job of switching over the world's best selling car
5:54
Speaker 1: globally in a very short period of time. Well done, guys,
6:07
Speaker 1: and let's I'll forget Also, we're upgraded Model three last year,
6:10
Speaker 1: so our in cars people are also buy the Model three.
6:13
Speaker 2: It's a great car actually.
6:16
Speaker 1: So and the cyber truck is achieved five star safety.
6:23
Speaker 1: You know these days, you know, sometimes things get a
6:27
Speaker 1: little dangerous. The neighborhood and the cyber truck being bulletproof
6:31
Speaker 1: and all can come in handy. So but apart from
6:35
Speaker 1: being bulletproof, it's also very safe in a crash. We're
6:40
Speaker 1: also building the Tesla Semi factory. This is a vehicle
6:45
Speaker 1: that some people said was impossible to build, that it
6:48
Speaker 1: defied physics. Well, not only does it not defy physics,
6:51
Speaker 1: we're gonna be making a lot of them. So we're
6:53
Speaker 1: gonna make just a you know, I think ultimately we'll
6:58
Speaker 1: make over a million millions probably of the Tesla Semi.
7:03
Speaker 1: And this is really going to be something that you'll
7:06
Speaker 1: see all over the place. And it will also be
7:08
Speaker 1: autonomous or have the ability to go autonomous down the road.
7:13
Speaker 1: So really autonomy is a massive, massive thing. The future
7:21
Speaker 1: is autonomous. So I always sort.
7:28
Speaker 2: Of think they go, like, what will the future look
7:29
Speaker 2: like in five.
7:30
Speaker 1: Years or ten years, twenty years and five years from now?
7:37
Speaker 1: Autonomous cars are going to be everywhere in the primarily
7:40
Speaker 1: going to be Tesla's by the way, but autonomous Tesla's
7:43
Speaker 1: will be everywhere, and I think in five years probably
7:49
Speaker 1: we'll have the regulatory approval I think globally, so you'll
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Speaker 1: have autonomous Tesla's on every continent taking people on trips,
8:00
Speaker 1: and almost the entire fleet, which will pass ten million
8:04
Speaker 1: vehicles next year, is capable.
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Speaker 2: Of full autonomy.
8:09
Speaker 1: So even without the cybercab, we still actually have a
8:13
Speaker 1: gigantic fleet that is capable of being autonomous. And the
8:18
Speaker 1: thing about being an autonomous car is that it can
8:20
Speaker 1: be used much more than a car that is not autonomous.
8:24
Speaker 1: A typical passenger vehicle car will be used about ten
8:26
Speaker 1: hours a week, so we might use it, people might
8:29
Speaker 1: use it for an hour and a half a day
8:30
Speaker 1: on average for seven days, which is about ten hours
8:32
Speaker 1: a week. But there are one hundred and sixty eight
8:34
Speaker 1: hours in a week. So if you have a car
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Speaker 1: that's a robot car that can drive autonomously, it can
8:41
Speaker 1: now be used potentially for eighty maybe one hundred hours
8:45
Speaker 1: in a week. So you could have a car that
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Speaker 1: has ten times the usefulness of a non autonomous.
8:53
Speaker 2: Car, but it still costs the same.
8:55
Speaker 1: In fact, the fleets are already built, so the software
8:59
Speaker 1: update is just enables that capability overnight, you have an
9:07
Speaker 1: increase in usefulness of ten million cars that suddenly become
9:11
Speaker 1: like fifty million cars or maybe eighty or one hundred
9:13
Speaker 1: million cars of usefulness overnight. That that's a profound thing.
9:19
Speaker 1: Like nothing like that has ever happened before. There is
9:22
Speaker 1: no there is no analogy that there's no nothing is
9:26
Speaker 1: There's never been something where a software update increase the
9:30
Speaker 1: value of a gigantic asset base by a factor of
9:35
Speaker 1: like five hundred to one thousand percent. So it's very
9:39
Speaker 1: difficult for like, you know, people in the stock market,
9:41
Speaker 1: especially those that look in the rear view mirror, which
9:45
Speaker 1: is most people, to imagine a future where suddenly a
9:52
Speaker 1: ten million vehicle fleet has five to ten times the usefulness.
10:00
Speaker 1: It's it's so profound, and there's there's no comparison with
10:04
Speaker 1: anything in the past that they just can't It does
10:06
Speaker 1: not compute, but it will compute in the future. And
10:11
Speaker 1: some people like Kathy would at arcinvest do see the future.
10:17
Speaker 1: So what I'm saying is hang on to your stock.
10:22
Speaker 3: So so.
10:34
Speaker 1: Yeah, it's it's really it's mind blowing. Then I want
10:41
Speaker 1: to give a shout out to Service. Service is a
10:43
Speaker 1: tough job, an important job, and it's actually what sells
10:47
Speaker 1: cars long term, you know, because the initial car is
10:51
Speaker 1: sold with sales, but all future cars are sold with service.
10:56
Speaker 1: And I always encourage our service team, like, let's try
10:58
Speaker 1: to give people a service experience that they love, not
11:01
Speaker 1: really that they like, but that they love. Because people
11:03
Speaker 1: will talk about something that they love that was an
11:05
Speaker 1: amazing experience, but they don't talk that much about things
11:08
Speaker 1: that they like. You have to really do something amazing
11:11
Speaker 1: and then they'll they'll they'll talk about it and be like, wow,
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Speaker 1: that's incredible. So thank you to the service team for
11:17
Speaker 1: the great job you do. And I mean you can
11:28
Speaker 1: see sort of I like the sort of light map
11:30
Speaker 1: of superchargers. You can see you can go practically anywhere
11:34
Speaker 1: in the US, Mexico, Europe, China, most well, I guess
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Speaker 1: not the outback of Australia, but but you know, most
11:45
Speaker 1: of the places where people live. So our supercharger network
11:50
Speaker 1: continues to grow significantly and we keep upgrading our supercharges.
11:55
Speaker 1: This is in fact, I still run into a lot
11:57
Speaker 1: of people who don't realize that you can drive, you
12:00
Speaker 1: take your Tesla on a road trip anywhere in America.
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Speaker 1: Or anywhere in Europe, anywhere, pretty much anywhere in China
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Speaker 1: just using the Tesla Supercharge network. And it's actually easy
12:09
Speaker 1: and convenient. So people think that they're whatever the range
12:12
Speaker 1: of the car is, that's as far as they can go.
12:14
Speaker 1: It's like, no, you can just stop at a supercharge network.
12:17
Speaker 1: The car's battery will last longer than your bladder. I'm
12:19
Speaker 1: pretty confident. So that's really the threshold. As long as
12:24
Speaker 1: the car battery lasts longer than your bladder and just
12:26
Speaker 1: plug it in when you go to the restroom and
12:28
Speaker 1: you come back and you know, grab a coffee or whatever,
12:31
Speaker 1: and if you're back on the road and everything's good,
12:34
Speaker 1: then that that's the range that matters and the supercharging
12:36
Speaker 1: speed that matters. So yeah, so congress to the supercharger
12:42
Speaker 1: team on expanding that work and do great, great work there.
12:54
Speaker 1: And then I mean the megapack and power wall team
12:57
Speaker 1: are really knocking it out of the park. The demand
12:59
Speaker 1: for stationary battery storage is gigantic, and I think that
13:04
Speaker 1: is actually only going to increase dramatically over time.
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Speaker 2: So uh, and we've got.
13:10
Speaker 1: The Shanghai megafactory that's got started in record time in
13:14
Speaker 1: factory contract Congress to the Shanghai factory team there.
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Speaker 2: That's awesome. And the power Wall three is it usually takes.
13:26
Speaker 1: It usually takes about three major technology iterations for the
13:30
Speaker 1: product to be great. And the power Wall three really
13:33
Speaker 1: is a fantastic home energy product and it's something that
13:37
Speaker 1: if you want to have ensure that your home has
13:39
Speaker 1: uninterrupted power during a power adage, the power Wall three
13:43
Speaker 1: is the.
13:44
Speaker 2: Way to go.
13:45
Speaker 1: And if you combine that with the solar, you can
13:48
Speaker 1: basically be off grid, which is pretty cool. But I
13:51
Speaker 1: think just having energy insurance, like being energy assurance such
13:56
Speaker 1: that if the if the utility goes down, you don't
14:00
Speaker 1: even notice like the light source on your house, and
14:03
Speaker 1: your neighbors will come to you for help. Basically that's
14:06
Speaker 1: actually what happens when somebody has it tells the power
14:09
Speaker 1: wall and there's a power outage.
14:11
Speaker 2: So that's a great product.
14:15
Speaker 1: And then yeah, megapack, especially at the utility scale, is
14:18
Speaker 1: that the opportunity there is gigantic because it enables a
14:21
Speaker 1: utility grid to dramatically increase the output of electricity because
14:25
Speaker 1: you can you can generate electricity at night and then
14:28
Speaker 1: megapack can provide that electricity during the day because normal
14:32
Speaker 1: electricity demand is very uneven. There's a lot of electricity
14:36
Speaker 1: usage during the day but limited at night. So megapac
14:40
Speaker 1: actually has the potential to increase the output of an
14:43
Speaker 1: existing electricity grid by more than double. So you can actually,
14:48
Speaker 1: without building additional power plants, double the total output of
14:52
Speaker 1: energy in a year.
14:53
Speaker 2: So it's quite a profound thing.
14:58
Speaker 1: Yeah, So megapac is is also really good at stabilizing
15:01
Speaker 1: the grid. So there's if there's variations in power in
15:05
Speaker 1: the grid, the megapac can absorb if there's a big
15:10
Speaker 1: power spike, and it can absorb and store the power,
15:13
Speaker 1: and then if there's a drop in power, it can
15:15
Speaker 1: fill in the gap. So it's a megapac is excellent
15:18
Speaker 1: for stabilizing the grid and obviously good it matches very
15:24
Speaker 1: well with wind and solar. In fact, satellites are just
15:30
Speaker 1: solar panels and a battery.
15:32
Speaker 2: That's that's how all satellites work.
15:34
Speaker 1: And with the Starling satellite network there's seven thousand satellites
15:38
Speaker 1: orbiting the Earth and all they uses is solar panels
15:41
Speaker 1: in a battery. And my prediction is long term, a
15:45
Speaker 1: majority of power on Earth. In fact, eventually it might
15:50
Speaker 1: be like ninety percent or more of all power on
15:53
Speaker 1: Earth will be solar panels with batteries. That's my prediction.
15:58
Speaker 1: My predictions have pretty good track record, so yeah, and
16:07
Speaker 1: the power walls can also act as kind of a
16:09
Speaker 1: virtual grid, so if you have thousands of power walls
16:11
Speaker 1: in a neighborhood, they can actually work work in concert
16:14
Speaker 1: to stabilize the grid.
16:18
Speaker 2: The B four supercharger is pretty cool.
16:22
Speaker 1: It enables charging at five hundred killer whites and the
16:26
Speaker 1: semi can charge at one point two megawattes, so it's
16:31
Speaker 1: and it's smaller and lighter. It's a big improvement overall,
16:34
Speaker 1: and we're rolling this out worldwide, so it'll increase charging
16:37
Speaker 1: speeds and uh yeah, just enable you to get your
16:42
Speaker 1: car charge really fast. And then with regard to sell manufacturing,
16:49
Speaker 1: we were at this point we think we're making the
16:55
Speaker 1: most efficient cell in the world, meaning like the lowest
16:59
Speaker 1: cost per killer watter I sell so, which is.
17:03
Speaker 2: Really pretty pretty good.
17:05
Speaker 1: Like there are entire companies that all they do is
17:07
Speaker 1: make lithium battery cells and for us, that's one of
17:13
Speaker 1: many things that we do. So congratulations to the cell
17:17
Speaker 1: team on making the best sell.
17:28
Speaker 2: So that's that's a really big deal.
17:32
Speaker 1: And then we're also investing in the whole battery supply chain,
17:36
Speaker 1: so we have cathere production, we have lithium refining, and.
17:44
Speaker 2: And then more.
17:46
Speaker 1: Yeah, hopefully we're sort of hoping someone else will do
17:49
Speaker 1: the uh, the anode. We might have to do the anode.
17:53
Speaker 1: I hope someone else does it. Why do we have
17:55
Speaker 1: to do all these things? A lot of people think like,
17:59
Speaker 1: we we do this thing a lot of these things
18:01
Speaker 1: because we want to, but really it's often just because
18:05
Speaker 1: we didn't have any choice and nobody else was doing it,
18:06
Speaker 1: so we had to do it. So so, yeah, a
18:12
Speaker 1: lot of new factory milestones. So in Berlin we've produced
18:15
Speaker 1: six hundred and sixty thousand drive units. Fremont, we've built
18:18
Speaker 1: our first Optimus at the Offtimost production line in Fremont.
18:24
Speaker 1: We're preparing for Cybercap production here at Gega Factory Austin
18:28
Speaker 1: and Gigo Factory Shanghai. Created it's a three million of
18:32
Speaker 1: the car. We've produced one hundred and sixty thousand NAC's
18:37
Speaker 1: adapters at gig Factory in New York, and we've got
18:39
Speaker 1: record battery pack production at Gegar Factory Nevada. So congrats
18:43
Speaker 1: to everyone were Also just behind us on the south
18:57
Speaker 1: side of the building, we have the Teesluk. We're called
19:01
Speaker 1: Cortex one. It's like basically a giant brain computer brain
19:05
Speaker 1: that is used for AI training. So we take the
19:10
Speaker 1: vast amounts of video that we get from all the
19:12
Speaker 1: cars in the fleet and we use that to train
19:14
Speaker 1: the artificial intelligence to be able to drive the car.
19:17
Speaker 1: And this is one of the most powerful training systems
19:21
Speaker 1: in the world, with over fifty thousand GPUs active and
19:26
Speaker 1: soon to be one hundred thousand GPUs, which will make
19:29
Speaker 1: it i think, probably top five in the world in
19:31
Speaker 1: training centers. We're also making continuing to make progress on
19:43
Speaker 1: our Dojo training supercomputer.
19:46
Speaker 2: So we've got Dojo one.
19:50
Speaker 1: Active now in gegapactory in New York and in Palo Alto,
19:54
Speaker 1: and it is actively working. It's actually taking load on
19:57
Speaker 1: it's doing a meaningful percentage well I guess five percent
20:03
Speaker 1: or whatever, but it's still something five, maybe approaching ten
20:08
Speaker 1: percent of the training load of the self driving AI
20:15
Speaker 1: is being done by Dojo. And then we've got Dojo
20:18
Speaker 1: two that's coming down the line that'll be probably ten
20:22
Speaker 1: times better than Dojo one, and so it's sort of exciting.
20:27
Speaker 1: We're making good progress with Dojo. I'm increasingly optimistic about
20:31
Speaker 1: the future of Dojo. I think it's we've got a
20:34
Speaker 1: real shot here at a breakthrough. So congrats to the
20:38
Speaker 1: Dojo team and the all Tails vehicles have now had
20:50
Speaker 1: what we call water pilot hardware for or really our
20:53
Speaker 1: AI four hardware, and it's it's really it's very powerful
21:00
Speaker 1: AI Infern's computer, and but also it operates a very
21:04
Speaker 1: low power and even to this day, even though this
21:06
Speaker 1: was a this has been something we're designed several years ago.
21:10
Speaker 1: There actually isn't anything on the market that we can
21:12
Speaker 1: buy that is better than AI four. So and obviously
21:15
Speaker 1: in the future years we'll have A five and AI six.
21:18
Speaker 2: Sometimes people say should I wait, I'm like, well, we're.
21:21
Speaker 1: Always gonna have another version, so there's no point in
21:23
Speaker 1: waiting because it was waiting forever. So but we obviously
21:28
Speaker 1: will have an AI five and an AI six or
21:30
Speaker 1: an AI seven, and we'll keep improving the AI compute.
21:34
Speaker 1: So for those out there that are interested in developing
21:37
Speaker 1: advanced chips, Kamoka Tesla and it is always, I think
21:47
Speaker 1: profound to watch our cars driving with no one in them,
21:52
Speaker 1: and we actually have the cars doing useful work for
21:56
Speaker 1: the first time with no one in them, which I
21:59
Speaker 1: think is is really it's.
22:00
Speaker 2: A significant milestone.
22:03
Speaker 1: So the cars are driving from end of line in
22:05
Speaker 1: Fremont to park themselves, and I think we've just started
22:09
Speaker 1: doing that here in Austin, so we'll be uh yeah,
22:15
Speaker 1: car the car literally goes from end of line in
22:18
Speaker 1: Freemont to to it's to its destination parking spot where
22:22
Speaker 1: it gets picked up by a truck for delivery to
22:24
Speaker 1: a customer. And good does that with no one in
22:26
Speaker 1: it And it's not doing that all day every day
22:30
Speaker 1: like it you know, pretty much like it's just a
22:31
Speaker 1: matter of fact thing. Yeah, so let's see uh yeah,
22:41
Speaker 1: And obviously for anyone that's using it, you can see
22:44
Speaker 1: the dramatic improvements in the in the in full self driving,
22:50
Speaker 1: where it's getting to the point where interventions are extremely rare,
22:54
Speaker 1: and eventually I get to the point where there really
22:57
Speaker 1: is no need to intervene, like the car is going
22:59
Speaker 1: to be better than human In fact, maybe it's it's
23:02
Speaker 1: worth emphasizing that it's not that it's not that Tesla
23:06
Speaker 1: full self driving will be equal to humans in safety.
23:10
Speaker 1: It will be ultimately ten times safer than a human because.
23:14
Speaker 2: It never gets tired.
23:15
Speaker 1: It doesn't, you know, like humans get tired and don'times
23:20
Speaker 1: get wasted, you know, and we'll have arguments or change
23:25
Speaker 1: the radio or you know, text. I know, no one
23:28
Speaker 1: in this audience would ever text while driving. That'd be crazy,
23:32
Speaker 1: but you know, it does happen. So so the reality
23:38
Speaker 1: is that the fulls off testl A PUL self driving
23:40
Speaker 1: will be vastly safer than humans, not just equivalent, will
23:45
Speaker 1: be actually vastly safer. And it means you can do
23:47
Speaker 1: whatever you want while driving. So even if you don't
23:50
Speaker 1: like rent your car out for usage, you can still
23:54
Speaker 1: it frees up your time. So if let's say you're
23:57
Speaker 1: driving ten twelve hours a week or more, it gives
24:00
Speaker 1: you back ten to twelve hours of your life, which
24:03
Speaker 1: is extremely cool. So well, Optimist sure has come a
24:11
Speaker 1: long way, so that the new Optimus twenty two Degree
24:26
Speaker 1: of Freedom hand and Forum is now in production and
24:33
Speaker 1: it's learning to walk and catch balls.
24:36
Speaker 2: It's pretty cool. I mean, look at that's where we
24:40
Speaker 2: came from. It's wild.
24:41
Speaker 1: So in a very short period of time, Optimis has
24:44
Speaker 1: gone from being an idea to the most sophisticated humanoid
24:50
Speaker 1: robot on Earth.
24:52
Speaker 2: There's nothing.
24:53
Speaker 1: There's nothing even close to the level of sophistication of
24:56
Speaker 1: Optimus and and Tesla some important missing ingredients that others
25:02
Speaker 1: don't have, which is our robot has a real brain.
25:07
Speaker 2: It's like the Wizard of Oz to Men was at
25:11
Speaker 2: a harder brain one of the two.
25:14
Speaker 1: So it's got it's got the it's got the real
25:21
Speaker 1: world AI, so it tells us the leader in real
25:23
Speaker 1: world AI. What we learned in the car we translate
25:27
Speaker 1: to to the Optimus robot. And we also trans take
25:31
Speaker 1: our expertise in electric motors, in batteries, power electronics, structural design.
25:37
Speaker 1: And then another major important thing is that we're very
25:40
Speaker 1: good at manufacturing. So in order for robots to be useful,
25:44
Speaker 1: that you have to they have to be they have
25:46
Speaker 1: to be intelligence. We have to be able to do
25:48
Speaker 1: useful things just by asking, and you have to be
25:51
Speaker 1: able to make a large number of them at an
25:53
Speaker 1: affordable price. This is what we can do. We have
25:57
Speaker 1: the only company with all the ingredients for making intelligent
26:02
Speaker 1: humanoid robots.
26:03
Speaker 2: At scale is Tesla. This is a super big deal.
26:08
Speaker 1: Like my prediction is that on this front is that
26:12
Speaker 1: optimists will be the biggest product of old time by far.
26:17
Speaker 1: Nothing will even be close. It'll be I think it'll
26:20
Speaker 1: be ten times bigger than the next biggest product ever made,
26:26
Speaker 1: like that level.
26:28
Speaker 4: So yeah, all.
26:44
Speaker 2: Right, So with that, anybody have any questions?
26:49
Speaker 1: Yeah, heah, congratulations, thank you.
26:58
Speaker 2: Cool and we were rocket casings.
27:01
Speaker 1: We do yeah, well, we do want to make we
27:14
Speaker 1: want to scale up production to new heights. Obviously with
27:19
Speaker 1: the with the cybercab, you know we're going to be
27:22
Speaker 1: a cybercab. Is is not just revolutionary car design, it's
27:25
Speaker 1: also a revolutionary manufacturing process. So I guess we probably
27:30
Speaker 1: don't talk about that enough, but if you've seen the
27:34
Speaker 1: design of the Cybercab line, it doesn't look like a
27:38
Speaker 1: normal car manufacturing line. It looks like a really high
27:44
Speaker 1: speed consumer electronics line.
27:45
Speaker 2: It's uh.
27:47
Speaker 1: In fact, the line will move so fast that that
27:50
Speaker 1: actually people can't even get close to it. Like that's
27:54
Speaker 1: you know, I think it's it'll be able to produce
27:57
Speaker 1: a car ultimately in less than five seconds. Like can
28:01
Speaker 1: you imagine a car coming off flying in less than
28:03
Speaker 1: five seconds? That's that's like whoa, which which means casting
28:07
Speaker 1: has got to happen fast. Yeah, yeah, so I mean
28:12
Speaker 1: we got we got to jam the liquid metal in,
28:14
Speaker 1: cool it down real fast, like real fast, and then
28:19
Speaker 1: I guess maybe we need to like just get even
28:21
Speaker 1: bigger casting machines.
28:23
Speaker 2: Sure, why not?
28:24
Speaker 1: You know down, Yeah, let's fifty thousand tons, you know,
28:30
Speaker 1: because like then we can make with a single casting machine,
28:33
Speaker 1: we could do like five at a time or something.
28:37
Speaker 2: You know, trying to.
28:40
Speaker 1: Think like how do you scale castings, because because you've
28:42
Speaker 1: got liquid metal, metal's got a cool uh, and then
28:47
Speaker 1: you've got to automate, you know, getting all the bits
28:49
Speaker 1: and pieces off the casting so it's usable. And that's
28:53
Speaker 1: actually kind of how they do it. In like small
28:55
Speaker 1: volume castings. They'll like to have a casting block that'll
28:57
Speaker 1: make like, you know, one hundred matchbox cars that it's
29:00
Speaker 1: time and we just make that a real big yeah,
29:05
Speaker 1: I mean we have the cathedral casting back there. So yeah,
29:10
Speaker 1: let's do that. I mean, like, let's let's see what
29:13
Speaker 1: what is the limit of what is the limit of
29:15
Speaker 1: physics of how big can a casting machine be? Let's
29:20
Speaker 1: find out. I'm gay, I'm down, Let's have some let's
29:26
Speaker 1: have some fun here. Of course, the limits of technology,
29:28
Speaker 1: all right.
29:30
Speaker 5: Hi Elan, I've been with Tesla for the last eight years.
29:33
Speaker 5: It has been the most exhilarating eight years of my career.
29:36
Speaker 5: And truly, when I thank you for your leadership, I also.
29:39
Speaker 2: Have to thank you for your confusion.
29:41
Speaker 5: Thank you, thank you for your leadership. I also have
29:47
Speaker 5: two little girls who spend their weekends cruising around and
29:50
Speaker 5: they're very awesome cyber truck I'd love to know when
29:54
Speaker 5: we can add Optimist to the family.
29:56
Speaker 2: Oh yeah, it's a good question.
29:57
Speaker 1: So so this year, we hopefully we'll be able to
30:02
Speaker 1: make about five thousand Optimus robots. We're technically we're aiming
30:10
Speaker 1: for enough parts to make ten thousand, maybe twelve thousand,
30:15
Speaker 1: But since it's a totally new product with totally new
30:18
Speaker 1: you know, like everything is totally new, I'll say, like,
30:21
Speaker 1: we're succeeding if we get to half of the ten
30:23
Speaker 1: you know, half the ten thousand now, but even five
30:26
Speaker 1: thousand robots, that's the size of a Roman legion IFI,
30:30
Speaker 1: which is like a little scary thought, like a whole
30:32
Speaker 1: legion of robots. I'd be like, WHOA, Okay, but I
30:36
Speaker 1: think I think we're literally a legion at least one
30:39
Speaker 1: legion of robots this year. And then probably ten legions
30:45
Speaker 1: next year and it's kind of a cool unit, you know,
30:50
Speaker 1: units of legion, So probably fifty thousand ish next year,
30:56
Speaker 1: and then it's probably ready to I'm hopefully ready for
31:00
Speaker 1: Optimists to be used outside of Tesla.
31:03
Speaker 2: Controlled environment, maybe around the middle of next.
31:06
Speaker 1: Year, second half of next year sometime, so, so that's
31:12
Speaker 1: I think that's what sounds about right. Probably second half
31:16
Speaker 1: of next year is when they will be available, and
31:18
Speaker 1: then we will offer Optimist robots first to Teslia employees,
31:25
Speaker 1: so you guys get the priority.
31:31
Speaker 2: But there are some pluses and minuses to that, you know,
31:37
Speaker 2: because it's.
31:37
Speaker 1: Uh, probably have a few bugs, but but.
31:41
Speaker 2: It's it's gonna be very cool.
31:44
Speaker 1: You definitely you'll want to invite your friends over and say,
31:46
Speaker 1: check us out.
31:49
Speaker 2: So that's the other questions. How are you long?
31:53
Speaker 6: Hey, my name is Dom I've been here for a
31:55
Speaker 6: little over a year now. I work in people development. Okay,
31:59
Speaker 6: we try to, but we make so many amazing things
32:02
Speaker 6: right now, it's still the people that do it. Yes,
32:04
Speaker 6: when we think about applying first principles to the relationships
32:09
Speaker 6: and the teams that people have, how would you encourage
32:13
Speaker 6: us to think about that and act on those first
32:16
Speaker 6: principles when it comes to relationships and teams.
32:28
Speaker 1: Hmmm, well, I think, you know, there are actually quite
32:33
Speaker 1: a few things I've written over the years that it
32:37
Speaker 1: would be good to compile into like a I don't know,
32:40
Speaker 1: a booklet or something, because I actually have to be
32:45
Speaker 1: reminded of those things myself, and I'm like, oh, I
32:47
Speaker 1: remember that thing that I thought of after making so
32:50
Speaker 1: many mistakes and trying to make fewer mistakes. So you know,
32:56
Speaker 1: there's like, for example, at like a five step process
32:59
Speaker 1: of like make their requirements less dumb and then try
33:01
Speaker 1: to delete the parton process step only, then optimize only,
33:05
Speaker 1: then speed it up, and only the fifth thing is automate.
33:08
Speaker 2: I have to repeat that to myself.
33:09
Speaker 1: Many times because I've made the mistake of doing it
33:11
Speaker 1: backwards so many times. And you know, I think always
33:20
Speaker 1: operating on the principle that everyone is wrong to some
33:23
Speaker 1: degree and we should aspire to be less wrong over time,
33:28
Speaker 1: which will not always succeed in doing. But if you know,
33:33
Speaker 1: if two days out of three you're less wrong over time,
33:36
Speaker 1: you're going to be Your batting average is going to
33:38
Speaker 1: be really good. So nobody ever bats a thousand, but
33:41
Speaker 1: you can improve your batting average.
33:43
Speaker 2: So I think rigorous.
33:48
Speaker 1: You know, you want to critique yourself, you want to
33:50
Speaker 1: internalize responsibility, and these are all things I need to
33:55
Speaker 1: remind myself of, you know. Just to be clear, I'm
33:56
Speaker 1: not like suggesting. I yes, internalized responsibility feel us wrong.
34:04
Speaker 1: And we should remember what we should remember what is
34:08
Speaker 1: our What is our goal as a company. Our goal
34:11
Speaker 1: is to make amazing products that people love, and then
34:14
Speaker 1: to take care of those products and service. So we
34:16
Speaker 1: should say, what are we doing to make our products better,
34:20
Speaker 1: to make them more affordable, to have the customer experience
34:24
Speaker 1: be delightful, because that's actually the purpose of a company.
34:30
Speaker 2: Sometimes people get wide as a company exist.
34:33
Speaker 1: A company exists, it's a group of people collected together
34:36
Speaker 1: to produce a compelling product or service that others find useful,
34:42
Speaker 1: and where the value of the product and service is
34:46
Speaker 1: greater than the cost of what it took to make
34:48
Speaker 1: that product or service. So sometimes weirdly profit is like
34:53
Speaker 1: viewed negatively, but really profit is just the difference in
34:58
Speaker 1: value between the output and the input.
35:01
Speaker 2: It's like what did a cost you to make it?
35:03
Speaker 2: And what did it.
35:04
Speaker 1: Cost should and what are people prepared to pay for it,
35:07
Speaker 1: that's the value that you've created. So it's it's tough
35:12
Speaker 1: actually even to maintain like a ten percent of profitability,
35:15
Speaker 1: which is to make that make the output ten percent
35:18
Speaker 1: more valuable than the input. That's actually quite hard, especially
35:22
Speaker 1: in the car industry, which is very competitive.
35:26
Speaker 2: So we're just not lose sight of like why are
35:28
Speaker 2: we here.
35:29
Speaker 1: We're here to make useful products that people love, you know,
35:32
Speaker 1: and and take care of that, take care of the overtime.
35:35
Speaker 1: So then how we're doing in that respect and how
35:37
Speaker 1: can we how can we do that better?
35:39
Speaker 7: So sure, give what advice would you give a young
35:55
Speaker 7: person like get into the stock market.
35:57
Speaker 2: Like, oh huh stock advice? Wow? Sir, yes, sir.
36:01
Speaker 1: As as I as I think people can can perhaps
36:05
Speaker 1: tell who are watching this. These these these questions are
36:08
Speaker 1: not prepared in advance. This is literally random questions from
36:14
Speaker 1: the crowd, which is cool. Actually I'm fine with that
36:19
Speaker 1: and and I think that it's going to sound very
36:24
Speaker 1: very straightforward. But you want to really buy stocking companies
36:29
Speaker 1: where you think the product that that company makes will
36:33
Speaker 1: be better in the future, like like are they is
36:35
Speaker 1: that company going to make more and better products? Or
36:40
Speaker 1: like do you love the products that that company makes
36:42
Speaker 1: and are they going to keep doing that? And and
36:44
Speaker 1: like I think tells it as I've just gone through,
36:47
Speaker 1: Telsa is gonna has made has a track record of
36:50
Speaker 1: having made many great products, and we're going to make
36:53
Speaker 1: many more future great products, and we're going to scale
36:57
Speaker 1: up production. And I think we've demonstrated a level innovation
37:00
Speaker 1: that is extremely rare. I mean, certainly by far the
37:07
Speaker 1: most innovative company in the car industry.
37:10
Speaker 2: Like not even close type of thing.
37:12
Speaker 1: So, you know, I do think Tesla stock actually long
37:19
Speaker 1: I think long term, with optimists and self driving, Tesla
37:23
Speaker 1: will probably.
37:24
Speaker 2: Be the most valuable company in the world.
37:26
Speaker 1: But there are also other companies out there that make
37:29
Speaker 1: great products and services. So I think that's the way
37:31
Speaker 1: you want to look at it to say, like, is
37:33
Speaker 1: do you do you think this product Because that's the
37:35
Speaker 1: reason why companies exist.
37:36
Speaker 2: Is to make great products and services.
37:39
Speaker 1: So if you think that a company is going to
37:41
Speaker 1: improve over time, then buy the stock. And if you don't,
37:44
Speaker 1: then don't, and then the stock market is it's a
37:47
Speaker 1: very strange thing. It's kind of like, you know, I
37:52
Speaker 1: think it's Warren Buffett's sort of metaphor analogy is, you know,
37:59
Speaker 1: stock markets like having someone stand at the edge of
38:01
Speaker 1: your property or your house and yell prices about to buy,
38:06
Speaker 1: buy or sell your house every day, and like sometimes
38:10
Speaker 1: they take their ends and sometimes they don't, you know.
38:13
Speaker 1: So sometimes the person yelling at the price of your
38:17
Speaker 1: house is having a good day or anytimes and having
38:20
Speaker 1: a bad day. But it's still the same house. You're like,
38:24
Speaker 1: I'm like, literally still the same house. Like, you know,
38:27
Speaker 1: so Tesla stock goes up and it goes down, but
38:31
Speaker 1: actually it's still the same company. It's just people's perception
38:35
Speaker 1: of the future.
38:37
Speaker 2: I don't know.
38:38
Speaker 1: I guess it's just very emotional, you know. So, But
38:43
Speaker 1: for me, like, while it's difficult to predict how things
38:46
Speaker 1: will be from you know, in the next day, six
38:50
Speaker 1: to twelve months, if you say, like where will things
38:52
Speaker 1: be in three years or five years, the future of
38:56
Speaker 1: Tesla is incredibly bright.
39:09
Speaker 4: Hi.
39:13
Speaker 1: Hi, Yes, you say, will the robot take your job
39:25
Speaker 1: or what? That's a fair question?
39:29
Speaker 2: Well? So, yeah, like, is a robot gonna come and
39:33
Speaker 2: steal your job? A reasonable question? I think what what
39:37
Speaker 2: what we'll find.
39:38
Speaker 1: With the robots is that there will be a ratio
39:41
Speaker 1: of people to robots, So you'll effectively end up having
39:47
Speaker 1: managing a group of robots.
39:50
Speaker 2: So you know, you'll have like basically, I don't know.
39:53
Speaker 1: Your flock or your little group of robots that you
39:56
Speaker 1: take care of and and you tell them what to do,
40:00
Speaker 1: and I don't know, you'll have a pack of robots. Basically, Yeah,
40:07
Speaker 1: you're promoted to manager. One way to think of it.
40:13
Speaker 1: I think the same thing will be true of cars. Like,
40:15
Speaker 1: so for the self driving cars, is that people that
40:19
Speaker 1: I say, you know uber drivers today or something like that,
40:23
Speaker 1: or taxi drivers today will end up managing a fleet
40:26
Speaker 1: of cars and that'll be a much more effective use
40:31
Speaker 1: of that time, you know, just taking care of like
40:33
Speaker 1: ten twenty cars or have a many that can take care.
40:36
Speaker 4: Of So yeah, how long? My name is Adrian.
40:43
Speaker 8: You said that your companies are made to make products
40:46
Speaker 8: people love.
40:47
Speaker 6: Yeah, have you ever thought of airplanes or trains?
40:52
Speaker 2: Yeah?
40:52
Speaker 1: I mean i'd I'd actually love to make airplanes, especially,
40:56
Speaker 1: but stretch pretty thin. So I have like seventeen jobs
41:06
Speaker 1: at this point. I just go to sleep, work, go
41:08
Speaker 1: to sleep for the work, and then do that seven
41:09
Speaker 1: days a week.
41:11
Speaker 2: Pretty much. People say, like where do you go on
41:13
Speaker 2: vocational like, what's that? You know? But I guess I
41:19
Speaker 2: like being productive.
41:20
Speaker 1: I like getting things done, So I guess I could
41:23
Speaker 1: choose to be like on an island somewhere, so in
41:25
Speaker 1: am Tai, you know, with attractive people in bikinis and stuff.
41:31
Speaker 1: Why wait, why am I not doing that? What? What
41:35
Speaker 1: a fool I've been?
41:40
Speaker 3: So?
41:42
Speaker 1: Yeah, I've actually thought about aircraft designs for a long time,
41:48
Speaker 1: and I think there's an interesting opportunity to make like
41:52
Speaker 1: an electric supersonic.
41:55
Speaker 2: V toll jet, you know, the vetlls like cherry on
42:00
Speaker 2: the cake.
42:01
Speaker 1: But certainly electric electric, long range, fast electric airplane would
42:07
Speaker 1: be very cool. You know, maybe at some point we'll
42:11
Speaker 1: do that. Yeah, that would be kind of fun. We
42:17
Speaker 1: do have the ingredients for it. So and then there
42:27
Speaker 1: is the potential for we like thinking like pretty far
42:30
Speaker 1: into the future here of not not a not a
42:33
Speaker 1: conventional train, but that sort of hyper loop, essentially vacuum
42:40
Speaker 1: tunnels like tunnels where you draw a vacuum so there's
42:44
Speaker 1: no air resistance and you have very high speed autonomous
42:51
Speaker 1: electric pods in a vacuum tube, a vacuum tunnel that
42:57
Speaker 1: would allow you to go from city center to city
43:00
Speaker 1: center much faster than any airplane could possibly go, because
43:05
Speaker 1: going into the into the an underground vacuum tunnel would
43:09
Speaker 1: it'd be like teleporting to super high altitude effectively, which
43:14
Speaker 1: no plane could do. And then it could deliver you
43:18
Speaker 1: right to the center of a city. And that I
43:23
Speaker 1: don't know, Maybe that's some future collaboration with Warring Company
43:25
Speaker 1: in Tesla. I got a million ideas. The ideas are.
43:30
Speaker 1: I had more ideas than I know what to do with.
43:32
Speaker 1: Ideas are kind of the easy part. Execution is the
43:34
Speaker 1: hard part. As they say, it's one percent inspiration ninety
43:37
Speaker 1: nine percent perspiration.
43:41
Speaker 9: Work in manufacturing engineering. Since twenty eighteen, I've done a
43:45
Speaker 9: bunch of different things here, kind of like energy products,
43:48
Speaker 9: Moundel three, Model Wide cyber and now we're looking forward
43:51
Speaker 9: to Optimists maybe the biggest product ever.
43:55
Speaker 2: Yeah, it will be.
43:57
Speaker 9: And I think about the mission statement of the company,
44:00
Speaker 9: and it's evolved. It used to be a sustainable transportation,
44:03
Speaker 9: then sustainable energy. Is it going to evolve again? Are
44:07
Speaker 9: we going to reformulate that officially to kind of explain
44:11
Speaker 9: to the world better about how optimism and AI folds
44:15
Speaker 9: into the rest of the fabric of the company.
44:18
Speaker 1: Yeah, I mean, I touched on this briefly earlier, but
44:21
Speaker 1: you're right that I think we do need to articulate
44:24
Speaker 1: it more prominently and maybe more often, because it's really
44:30
Speaker 1: about a sustainable abundance, you know. Can we have a
44:35
Speaker 1: future of abundance for all that is also sustainable and
44:38
Speaker 1: compatible with nature so we're not destroying nature? But where
44:44
Speaker 1: do you also get abundance for everyone on Earth? Sounds
44:47
Speaker 1: like the best possible future. That's what we're trying to do.
44:53
Speaker 8: Yeah, yes, sir, my name is Aaron. Yes, sir, my
45:04
Speaker 8: name is Aaron Armstrong. It's not every day that you
45:07
Speaker 8: get to be in the presence of somebody that's accumulated
45:10
Speaker 8: so much wealth and success. So I just wanted to
45:13
Speaker 8: take this opportunity to ask for any wisdoms or secrets
45:17
Speaker 8: that you may have to offer about this game of
45:19
Speaker 8: life that we're all trying to play.
45:21
Speaker 1: Sure, I mean, I try to tell say everything that
45:25
Speaker 1: I know well, butterally sometimes i'm you know, like I
45:29
Speaker 1: posted on X I guess should I ask the AI
45:32
Speaker 1: to look through all of my ex posts and pick
45:35
Speaker 1: out the ones that are really good because I try
45:39
Speaker 1: to say any you know, good ideas that I have
45:42
Speaker 1: I try to post them.
45:46
Speaker 3: Yeah.
45:47
Speaker 1: I think generally it's good to always be be curious
45:52
Speaker 1: and too, you know, to read widely, Like read read
45:58
Speaker 1: a lot of interesting books, especially history. I find history
46:01
Speaker 1: really interesting, and I find like biographies and autobiographies to
46:08
Speaker 1: be also very interesting.
46:13
Speaker 2: You know.
46:13
Speaker 1: I think it's good to read, especially autobiographies where like
46:17
Speaker 1: you know, somebody has done something incredible and they wrote
46:20
Speaker 1: they wrote the book of themselves or mostly themselves. That'll
46:24
Speaker 1: that'll give you a lot of ideas. And I mean
46:30
Speaker 1: something that I do is I'll get audiobooks because I
46:34
Speaker 1: got like so much going on in my mind when
46:36
Speaker 1: it's kind of hard to go to sleep, because it's
46:38
Speaker 1: like having a computer browser with like a hundred tabs open.
46:43
Speaker 1: That's that's by the end of the day, I got
46:44
Speaker 1: like one hundred tabs open. Like out I close this browser.
46:47
Speaker 1: You know, that's my brain. That's my brain. So then
46:51
Speaker 1: I'll listen to an audiobook and I'll put it on
46:53
Speaker 1: a timer and it's like fifteen minutes. It's like being
46:56
Speaker 1: like being read up a bedtime story by your phone.
47:01
Speaker 1: So podcasts and and audio books especially during at bedtime,
47:06
Speaker 1: or I find her great, yeah yeah, or yeah, sure.
47:16
Speaker 2: Or so I can't hear you.
47:30
Speaker 1: Oh, there's a there's a city in South Texas which
47:32
Speaker 1: is star Base, So it's it's a city for it's
47:36
Speaker 1: in fact the cities.
47:37
Speaker 2: Maybe sound makes it sound bigger than it is, but
47:40
Speaker 2: it is. It's it's a really uh a a small.
47:45
Speaker 1: Town plus a giant rocket factory that's star Base, and
47:51
Speaker 1: it's uh in South Texas and Star Based, Texas, right
47:55
Speaker 1: by the Rio Grande.
47:56
Speaker 2: And you can just literally drive there.
47:59
Speaker 1: Because it's it's on like a state highway, so you
48:02
Speaker 1: can just drive through it check it out. So I
48:07
Speaker 1: do own a piece of property that's just across the river.
48:11
Speaker 2: That's kind of cool.
48:12
Speaker 1: It used to be like a like a horse place,
48:15
Speaker 1: like where they would give horse riding lessons and stuff.
48:20
Speaker 2: And at some point I think it would be cool too.
48:23
Speaker 1: I want to do like this gigantic art project there
48:28
Speaker 1: that's like a looks like an alien planet, like right
48:32
Speaker 1: across the river, but like that people could visit, you know,
48:37
Speaker 1: so then I might like live there occasionally. But really
48:41
Speaker 1: it's it's a place to like, I don't know, to
48:44
Speaker 1: envision sort of an alien planet art project across the river.
48:49
Speaker 2: They're kind of cool.
48:51
Speaker 10: Yeah, yeah, uh.
49:21
Speaker 1: Do we see see TESL making product that helps how
49:24
Speaker 1: we spend money? Well, I think the AI is going
49:29
Speaker 1: to help us spend money better. It's kind of amazing,
49:34
Speaker 1: you know what AI can do these days. And if
49:36
Speaker 1: anyone here has used at grock, but it's pretty cool.
49:41
Speaker 1: Grock voice can be really pretty great too. I just
49:45
Speaker 1: try grock unhinged. It's like it's guaranteed to be entertaining
49:49
Speaker 1: at a party one thousand percent. Probably see you if
49:52
Speaker 1: you If you try grock voice unhinged at a party,
49:55
Speaker 1: this will be a very it's gonna be a big hit.
49:59
Speaker 2: So but you can also ask it.
50:01
Speaker 1: Any questions, so like if you want to ask questions
50:05
Speaker 1: about like, you know, life advice or things that or
50:09
Speaker 1: anything like you could really ask Like you can ask
50:11
Speaker 1: it about cryptocurrency if you want. You can ask it
50:14
Speaker 1: about medical advice. You can ask any It's actually it's
50:17
Speaker 1: very good and it's getting better, so you know, I
50:22
Speaker 1: think more use of try using rock. It's like it's
50:27
Speaker 1: really pretty cool. Yeah, sure, cool.
50:38
Speaker 4: Long ago.
50:42
Speaker 2: Yeah, so.
50:46
Speaker 1: We're in phase three of the master plan. Since mass
50:49
Speaker 1: Plan one and two have been completed. Now Mass Plan
50:55
Speaker 1: Pot three is a very long master plan because it's
50:58
Speaker 1: basically making all in it ge On Earth sustainable and
51:05
Speaker 1: and I actually need to supplement it with the sort
51:07
Speaker 1: of abundance for all.
51:11
Speaker 2: Maybe that's a master plan for.
51:16
Speaker 1: I've kind of described master Plan four essentially, which is
51:19
Speaker 1: like autonomous cars, autonomous humanoid robots. They're combined that with
51:27
Speaker 1: like solar and battery storage, and I think the future
51:32
Speaker 1: is going.
51:32
Speaker 2: To be incredible. So I'll take a couple more questions
51:36
Speaker 2: and call it a night.
51:38
Speaker 1: Well, i'll ask if you haven't asked a question before
51:41
Speaker 1: you can ask a question. Okay, Oh, well, there are
51:53
Speaker 1: actually some Optimous robots being built in Premont right now.
51:57
Speaker 2: So, well, so what that was, But.
52:04
Speaker 1: So we expect to have an Optimist production line here
52:08
Speaker 1: as well. So there'll be Optimist production starting in the
52:12
Speaker 1: Bay Area, and then we'll have the even bigger Optimist
52:18
Speaker 1: production line here in Austin. Yeah, it's gonna be a
52:22
Speaker 1: lot of robots quite ultimately. I mean I think I
52:30
Speaker 1: think there'll be We'll be making tens of millions of
52:33
Speaker 1: robots a year type of thing. It's like serious volume,
52:38
Speaker 1: maybe one hundred million robots a year. It's wild. Yeah,
52:44
Speaker 1: all right, Well, ask question Okay, it's about sustainability abundance. Yes, well, yes,
53:02
Speaker 1: I mean obviously Utopia could be dystopia.
53:06
Speaker 2: So we have to. Like, usually any story about Utopia
53:08
Speaker 2: ends up being dystopia. Won't avoid that.
53:10
Speaker 1: But nonetheless, I think if you say, what future, what's
53:14
Speaker 1: what's the best future you can think of? I think
53:17
Speaker 1: a future of sustainable abundance plus space travel that's pretty great. Yeah,
53:32
Speaker 1: we need we need adversity. Well, I mean you make
53:45
Speaker 1: a good point, like we like, if things would actually
53:48
Speaker 1: get too easy, maybe we get bored and we're not.
53:51
Speaker 1: You kind of want to to some degree overcome adversity.
53:57
Speaker 3: You know.
53:57
Speaker 1: It's like if you if you play a game of
53:58
Speaker 1: some kind, you wanted to aim to be not too
54:00
Speaker 1: easy and not too hard, and maybe the future will
54:05
Speaker 1: be too easy potentially, that's what you're saying. Yeah, it's
54:09
Speaker 1: a high class problem, you know, But I think I
54:15
Speaker 1: think we'll still have human to human competitions. And if
54:20
Speaker 1: you look at say athletics or even mind games like chess.
54:26
Speaker 2: Although computers can beat any.
54:28
Speaker 1: Human at chess, chess is actually at an all time
54:31
Speaker 1: high in popularity. And although you know cars can go
54:35
Speaker 1: faster than any humans, we still have athletic sports where
54:39
Speaker 1: humans compete against each other, so I think we'll still
54:42
Speaker 1: have human versus human competitiveness. I think long term we
54:50
Speaker 1: will also have enhancement of humans, or optionally, if somebody
54:55
Speaker 1: wants to enhance, like have like cybernetic enhancements, like with neuralink,
55:02
Speaker 1: you know, if you want to go cybernetic and I
55:05
Speaker 1: don't know, maybe have like super intelligence and be able
55:09
Speaker 1: to see, you know, in different wavelengths. But we could
55:14
Speaker 1: absolutely provide superhuman abilities via neuralink in the future. So
55:23
Speaker 1: one thing is for sure, the future is going to
55:25
Speaker 1: be very interesting. In fact, I think the most generally,
55:32
Speaker 1: I find that the most interesting outcome is the most likely,
55:38
Speaker 1: or said another way, maybe the most entertaining outcome, especially fyronic.
55:43
Speaker 2: Is the most likely.
55:46
Speaker 1: It's almost like we're in an alien Netflix series that's
55:51
Speaker 1: trying to have the highest possible ratings, and like, if
55:55
Speaker 1: you think about it, like that's kind of what happens,
55:59
Speaker 1: you know it would. It doesn't mean it's always good
56:02
Speaker 1: because to your point, if you wouldn't really want to
56:05
Speaker 1: watch a show where things are great and stay great,
56:08
Speaker 1: I'm like, oh, it's boring. You want to watch a
56:10
Speaker 1: show where there's like a narrative ac where things go
56:14
Speaker 1: up and they go down, they go back up again,
56:17
Speaker 1: and you know, you know exactly what's going to happen next.
56:21
Speaker 1: And I think we might be in an alien Netflix
56:25
Speaker 1: series here. So we're just going to keep the ratings
56:28
Speaker 1: up so we don't get canceled, all right, Thank you guys,