Latest / Elon Musk Thinking / Elon Musk Huge Latest Updates.

Transcript

Elon Musk Huge Latest Updates. · Elon Musk Thinking

0:00
Speaker 1: So we've had a very exciting quarter be we're able
0:04
Speaker 1: to successfully launch a rover taxis so providing out both
0:07
Speaker 1: riders with no one in the drive to see with
0:09
Speaker 1: paying customers in Austin. And then so some of they've
0:13
Speaker 1: known we've already expanded our service area at Austin. It's
0:17
Speaker 1: bigger and longer, and it's it's going to get even
0:20
Speaker 1: bigger and longer the we we're expecting to really greatly
0:25
Speaker 1: increase the mortion service area too, well in excess of
0:29
Speaker 1: what com Feder's doing. And that's hopefully in a week
0:33
Speaker 1: or so. Two weeks, yeah, a couple of weeks, a
0:36
Speaker 1: couple of weeks or so, and we're getting the regulatory
0:41
Speaker 1: permission to launch in the area about Arizona and the
0:46
Speaker 1: number of at Florida, a number of other places. So
0:49
Speaker 1: as we get the approvals and reprove out safety, then
0:53
Speaker 1: we'll be launching the autonomous right here in Wislim country.
0:59
Speaker 1: And I think we're oubly have autonomous right handling in
1:04
Speaker 1: the half of the population of the US by the
1:07
Speaker 1: end of the year. That's that's least a goal. Subject
1:10
Speaker 1: to regulatory proofs, I think will technically be able to
1:15
Speaker 1: it so it's being weird regulatory rubles. It's probably interesting
1:20
Speaker 1: half the population of the US at the end of
1:22
Speaker 1: the year. But we are very very cautious. We don't
1:25
Speaker 1: want to take any chances, and so we're working out, yeah,
1:30
Speaker 1: they'll go cautiously, but that's the service areas and the
1:36
Speaker 1: number of vehicles and in operation will decrease a hyberate
1:41
Speaker 1: natural rate. So you add some other notable things word
1:46
Speaker 1: away and dream. We jam the best selling car in Turkey, Netherlands,
1:49
Speaker 1: Switzerland and Austria. It is I believe the best selling
1:52
Speaker 1: car already fived in the world still and the top
1:56
Speaker 1: of it. Autonomy is a is a big factor there,
1:58
Speaker 1: so give about even absent and people about supervised even
2:05
Speaker 1: even if it's just supervised, so self driving it's it's
2:08
Speaker 1: a huge selling point. And it's worth noting that we
2:11
Speaker 1: do not actually yet have approval or supervised FSD in Europe,
2:17
Speaker 1: where so our sales in Europe we think will improve
2:22
Speaker 1: significantly once we are able to give customers the same
2:26
Speaker 1: experience that they have in the US. This is why
2:29
Speaker 1: this is I think a very important point to convey
2:31
Speaker 1: and we've been working with the Big Country regulator which
2:34
Speaker 1: is the Netherlands, and I think we're close to getting
2:38
Speaker 1: approval with Netherlands. Then instead of go to the EU.
2:42
Speaker 1: It's quite a cockca esque, but to copa no idea
2:46
Speaker 1: that's looking at the EU coulds just beyond concas challenges
2:50
Speaker 1: with eurocracy, but it will. We will get the approvals
2:53
Speaker 1: and I think we'll get you know, some people in
2:58
Speaker 1: Europe will have an experience and out of the US
3:01
Speaker 1: in most of Europe this year, hopefully at least partially
3:07
Speaker 1: in this quarter. And then we also have some regulator
3:12
Speaker 1: regulatory challenges in China which we're hopefully to unblocked shortly
3:16
Speaker 1: where we because we also cannot find super vice qusty
3:21
Speaker 1: in China currently, but we got to unblock that suit.
3:23
Speaker 1: And that's a student that's another major. It's really is
3:26
Speaker 1: the single biggest demand drive. And then within the US,
3:30
Speaker 1: as we get confident about safety in different geographic areas,
3:36
Speaker 1: the we will loosen up on how much somebody has
3:42
Speaker 1: to be layer of focused to have the eyes layer
3:43
Speaker 1: of focus on the road, you know, because that's that's
3:47
Speaker 1: been a common complaint. In fact, it does create an odd,
3:51
Speaker 1: odd safety issue where people will senders disengage or a pilot,
3:56
Speaker 1: then then do something change the radio or AMU look
4:00
Speaker 1: at the bone drivers their knee and then re engage
4:02
Speaker 1: water pilot, which obviously is not is less safe than
4:05
Speaker 1: simply keeping autopol on. So anywhere, get that that that
4:09
Speaker 1: experience will will improve in the next several weeks. The
4:15
Speaker 1: because when I focus on Awestem with Dewain driver's seat,
4:20
Speaker 1: the production release of water Pilot is actually several months
4:25
Speaker 1: behind what people experience on a road tax and most
4:29
Speaker 1: so not Now we have the road tax that was
4:31
Speaker 1: launched will be provided adding back those elements so that
4:35
Speaker 1: they will be a step change improvements and the water
4:39
Speaker 1: Pilot experience or people outside of Worsting. This is really
4:44
Speaker 1: as you can tell, this is very much sort of
4:46
Speaker 1: an autonomy. Is the story like we need the We
4:49
Speaker 1: need the physical product with that which you can dipatonomy.
4:52
Speaker 1: But once you have a physical product, you need the
4:54
Speaker 1: autonomy is what amplifies the value to stratospheric levels. You
4:59
Speaker 1: also launched the Tesla dina, which has been a huge hit.
5:03
Speaker 1: Actually got world wide attention, which is unusual for a
5:05
Speaker 1: dina that is don't typically get headline news around Earth.
5:10
Speaker 1: But this is a pretty special dynas and if you're
5:12
Speaker 1: in the LA area, it's worth visitting. It's sort of
5:16
Speaker 1: a shiny beacon of hope and otherwise sort of leap
5:21
Speaker 1: up and landscape rightly. So it's really quite quite a
5:24
Speaker 1: lovely experience where don't played. There's little team there up
5:28
Speaker 1: on the pulls up garbage front. Continue to work about that.
5:32
Speaker 1: We have. We're continuing to make significant improvements just with
5:36
Speaker 1: the software. So the we're expecting to increase the parameter account. Actually,
5:42
Speaker 1: at this point, I think we think we can probably
5:44
Speaker 1: ten x that almost tax the Pepper prim Yeah, roughly
5:48
Speaker 1: roughly ten x the prim account. So this is actually
5:52
Speaker 1: a very tricky thing to do because if you as
5:55
Speaker 1: you increase criameter account, you get you get to choke
5:57
Speaker 1: on every bad wind. But we currently think we can
6:02
Speaker 1: tenext the parameter count from what people are currently experiencing.
6:07
Speaker 1: That's that's not just support x, actually ten x increasing
6:11
Speaker 1: in primary account. And yeah, so that's still a lot
6:15
Speaker 1: of improvement on the existing artware. To happen. Energy is
6:19
Speaker 1: growing really well despite edwards from tariffs and spirit suppliettery
6:23
Speaker 1: jodges the very package bagistic quickly and how we have
6:29
Speaker 1: ouprates the bagapact that will make it even better. And
6:32
Speaker 1: we had red board our powerful to plates and dat
6:35
Speaker 1: H two. So where I think bat batteries are just
6:40
Speaker 1: going to be a massive thing, that that the scale
6:44
Speaker 1: of batteries battery deman is, I think not that many
6:49
Speaker 1: people appreciate just how gigantic the scale of battery man is.
6:54
Speaker 1: The way you think about it is that the US
6:56
Speaker 1: sustained power output of the U S grid is on
7:00
Speaker 1: one terrat wet, but average usage is less than half
7:04
Speaker 1: at tarot wet. If you add batteries to the mix,
7:07
Speaker 1: you can run the power plants twenty four to seven
7:10
Speaker 1: ex soul capacity. That's double a more than doubling the
7:15
Speaker 1: energy output per year of the United States just with batteries.
7:19
Speaker 1: But that's again big deal. It's a really big deal.
7:22
Speaker 2: Optimist to what we're revolving the optimist design to really
7:27
Speaker 2: get an optimist at the point where it is a
7:30
Speaker 2: phenomenal design to pur an optimist Version two right now
7:34
Speaker 2: sort of two and a half.
7:36
Speaker 1: Optimus three is if there is an exquisitive design, in
7:38
Speaker 1: my opinion, there will be an credit. As I've said
7:42
Speaker 1: many times before, I predicted it will be the biggest
7:45
Speaker 1: product ever. It's a very hard problem to solve. You
7:49
Speaker 1: have to design every part of its from physics first principles.
7:53
Speaker 1: There's nothing that's both the shelf that actually works, so
7:57
Speaker 1: you're going to design every motor, gear box, par electronics, control, electronics, sensors,
8:04
Speaker 1: the mechanical elements also got to train optimists to use
8:12
Speaker 1: its eleven sented sensors with a neural net, but will
8:15
Speaker 1: be applying the same techniques that we're applied. Or a
8:19
Speaker 1: car which is essentially a four wheel robot, and optimist
8:24
Speaker 1: is a robot which arms and legs, so that the
8:27
Speaker 1: same principles that apply to optimize eight AI inferns are
8:32
Speaker 1: the car applied to optuments because they are both really
8:35
Speaker 1: robots in different forms. And Tesla, it is wortant to
8:40
Speaker 1: know the Tesla is my father best in the world
8:42
Speaker 1: at real world AI. Like a clear proof point that
8:47
Speaker 1: would be if you're compared to Tesla to way more
8:49
Speaker 1: where it's got. You know the car is best doing
8:52
Speaker 1: with god knows how many sensors, and yet doesn't Google
8:56
Speaker 1: goodn't AI, Yes, but they're not good at real best
9:00
Speaker 1: part the Tesla is actually much better than Google by
9:05
Speaker 1: far and any much anyone at real world and and
9:10
Speaker 1: I and by far, Chesla has the best infernce efficiency.
9:16
Speaker 1: Like I think a key for AI is what is
9:19
Speaker 1: the intelligence per gigabytes? People know about parameters blah blah blah,
9:24
Speaker 1: but I think, but about toil about gigabytes because with
9:29
Speaker 1: the parameters can have four bit parameters, eight bit parameters,
9:32
Speaker 1: sixteen bit parameters. But the actual constraints in the hardware
9:35
Speaker 1: are how many gig bytes run and how many gigabytes
9:40
Speaker 1: per second he transfer from. Therefore, it is not the
9:43
Speaker 1: parameters straight, there's it isn't there's a byte straight And
9:48
Speaker 1: Tesla has the highest intelligence density of any ANI by far,
9:53
Speaker 1: and I have a lot of insight this with with
9:55
Speaker 1: x Ai. Xai is grock is the smartest of the
9:59
Speaker 1: I over but it's a BROP four is a giant
10:03
Speaker 1: beast there with the terrorbyte levels. And that's kind of
10:08
Speaker 1: an important to know. It telles that has the best
10:10
Speaker 1: collegian students intelligents density will be a very big deal
10:13
Speaker 1: of the future. It is no so with Optimus three,
10:18
Speaker 1: which is really the right design, it's like it doesn't
10:20
Speaker 1: happen at this point, there's no there's a SIGNI think
10:24
Speaker 1: claws would be Octimist three design, but we are going
10:28
Speaker 1: to retool a bunch of things, so it's it'll probably
10:31
Speaker 1: be prototypes of Optimist three end this year and then
10:35
Speaker 1: scale production next year. We're going to try to scale
10:37
Speaker 1: Optimist production as fast as it's seemingly possible to do. So,
10:41
Speaker 1: try to get two million units a year as quickly
10:44
Speaker 1: as possible. We think they give them less than five years.
10:47
Speaker 1: That's I guess that that's a reasonable aspiration. Is the
10:52
Speaker 1: million units a year five years? It seems like an
10:56
Speaker 1: indieval tarry A conclusion. So four twenty White has been
11:01
Speaker 1: breaks a year. A lot of major monstudents made clear
11:05
Speaker 1: launch progress in autonomy that a lot of Masaya said
11:09
Speaker 1: we would not achieve. It's worth noting that the we
11:13
Speaker 1: have done what we said we're going to do, and
11:15
Speaker 1: they were always on time. But we get it done
11:18
Speaker 1: and there sitting there with egg on their face. So great, great,
11:23
Speaker 1: great progress by it tells the team, Yeah, I do
11:27
Speaker 1: think it tells continues to execute well with big autonomy
11:33
Speaker 1: and and the humor or what autonomy, it will be
11:37
Speaker 1: the most valuable helping in the world. There's a lot
11:40
Speaker 1: of execution between year and there. It doesn't just happen,
11:44
Speaker 1: it's about it excute very well. I think Tessant hasn't
11:50
Speaker 1: shown it being most company in the world obviously, I'm
11:54
Speaker 1: stremely optimistic about future of company. Best way to break
11:57
Speaker 1: the futurist and make it happen maging. It happened here
12:00
Speaker 1: with those team. So I'd just like to say thanks
12:03
Speaker 1: to one of our supporters, and I think we're get
12:06
Speaker 1: to tell you incredibly exciting future. I think it's it'll
12:09
Speaker 1: be available for vice personal use by the end of
12:13
Speaker 1: this year and certain geographies. We're just being very careful
12:17
Speaker 1: about it and we're just being extremely partner. But I
12:19
Speaker 1: would be a copy of that by the others year
12:23
Speaker 1: within a number of cities in the US. We will,
12:26
Speaker 1: we will, It'll be available to edge users like the Optimist.
12:31
Speaker 1: Optimist three design, as I mentioned earlier, is I think
12:33
Speaker 1: finally the right design. They'll wait for the optimizations, but
12:36
Speaker 1: they're will. I think they're fundantal changes too that are needed.
12:39
Speaker 1: Over the Optimist three design. It has all the degrees
12:41
Speaker 1: breedom that you really want or need, so it's you.
12:47
Speaker 1: I'll have bonotypes of that and three three months and
12:51
Speaker 1: means suctually in production postimply start production on that next
12:57
Speaker 1: year the production round. Simple stories conflict the s cove
13:02
Speaker 1: up your production around. Something is got an entire when
13:06
Speaker 1: everything is new, because the rate of production will move
13:10
Speaker 1: this fast is the least lucky and least confident elements
13:13
Speaker 1: of the entire supply chain, as well as internal processes.
13:18
Speaker 1: So the more new STU that is a in a product,
13:21
Speaker 1: the slower than the rank could be because of unexpected
13:25
Speaker 1: supply chain interruptions or mistakes internally. Especially using it to
13:29
Speaker 1: predict through the end of the of the escove or
13:34
Speaker 1: or late in the S curve. In the beginning of
13:36
Speaker 1: the ESCO and the beginning of the ESCO of the
13:39
Speaker 1: production round is a case not really materials for revenue purposes.
13:43
Speaker 1: The beginning of the ESCO, you're usually yours negative course, Morgan,
13:50
Speaker 1: you're debuting amount of issues. So that's why it's it's
13:54
Speaker 1: I feel like fairly confident predicting things. Well, please medium
13:59
Speaker 1: confident in predicting where we are five years, but it's
14:02
Speaker 1: hard ricked where we are in a year or two years.
14:06
Speaker 1: So that's why I think five year us I think
14:10
Speaker 1: it could be at the living with our be surprised
14:14
Speaker 1: at the end of five years, sixty months from now
14:17
Speaker 1: get three online roughly making one hundred thousand Optimus robots
14:22
Speaker 1: in month in sixty months, I would be shocked, I think, obviously. Yeah,
14:28
Speaker 1: we're a publicly treaded company. Sure Holders are welcome to
14:30
Speaker 1: put forward any shareholder proposals that they'd like. I recently
14:34
Speaker 1: encouraged that, and then have shareholders vote and we'll act
14:39
Speaker 1: in accordance with the shareholder wishes. Great. Yeah, there's a
14:43
Speaker 1: lot of exciting things happening in the science studio. It's
14:45
Speaker 1: like static and really what's going to happen over the
14:48
Speaker 1: next to several years is a fundamental transformation of the
14:51
Speaker 1: company from the pre asolomy world to a post autonomy
14:56
Speaker 1: and I'm working on a near master plan to articulately
14:59
Speaker 1: that tells the team and you know there will there
15:03
Speaker 1: will be there are some teething pains as you as
15:05
Speaker 1: you transition from pre pre aufineries vote autonomy world, but
15:10
Speaker 1: I think that the future tells it is incredibly exciting
15:14
Speaker 1: and will profoundly change the world in a good way.
15:17
Speaker 1: Please sound like fiable whatever, but I think we'll let's
15:22
Speaker 1: just say if we execute on that plan effectively, which
15:24
Speaker 1: is you have to actually do that because it will
15:27
Speaker 1: be the most vaguable company in the world by far.
15:29
Speaker 1: Are two. We expect to have Dojo to operating scale
15:35
Speaker 1: SubTime next year, with scale being somewhere around one hundred
15:40
Speaker 1: k a twelve hundred equivalents. And AI five, which is
15:44
Speaker 1: really it's spectacular use those words likely spectacular to the
15:51
Speaker 1: A five Childen being hope hopefully be buying production around
15:56
Speaker 1: the end of next year, but that has a lot
15:59
Speaker 1: of potential. I think, you know, thinking about DOJOH three
16:03
Speaker 1: and the AI six birdst chip, it seems like, intuitively
16:09
Speaker 1: we want to try to find conbudgets there where it's
16:13
Speaker 1: basically the same chip that is used what were you used,
16:17
Speaker 1: say two of them in a car or an optimist
16:22
Speaker 1: and maybe a large a number on board account of
16:28
Speaker 1: by twelve and AB or something like that. If you
16:29
Speaker 1: want highbands communication between the chips out of course serving
16:36
Speaker 1: they're drink it bird serving. That sort of seems like
16:39
Speaker 1: intuitively the sansful way to go.
16:42
Speaker 3: Yeah, well, the the cybercap is which is really optimized
16:48
Speaker 3: for autonomy that that I think has got probably somebody's
16:53
Speaker 3: sent per mile potential over time by betweenty five.
16:58
Speaker 1: You know, it's really like if you design a car
17:01
Speaker 1: from scratched to be a cost optimized robotic taxi like
17:08
Speaker 1: Cybercap like for example, we're not trying to make it,
17:14
Speaker 1: you know, corner like a look incredibly well like a
17:17
Speaker 1: Model three would, or modeless or even mall way like
17:20
Speaker 1: it's got moddel all about all about. Cars that are
17:24
Speaker 1: driven by people are super fun drive. They've got incredible acceleration,
17:28
Speaker 1: you know, the incredible cornering capability. But not ben We're
17:33
Speaker 1: confident that very few people and a cybercap want to
17:37
Speaker 1: be totaling around. So you know, so we were we
17:41
Speaker 1: produce the top end speed, which means we can use
17:44
Speaker 1: more efficient tires, we don't use as much acceleration, we
17:48
Speaker 1: don't use as much you know, big big brake system.
17:52
Speaker 1: We won't want stopping distance, but we're not expecting it
17:54
Speaker 1: to be heavily used. If it's it's a gentle right.
17:57
Speaker 1: Essentially you designed for a ride and then you you
18:03
Speaker 1: have am that much optimized optimized asign point. So that
18:07
Speaker 1: that's why it timpts probably achieve that, especially optim optimuses,
18:12
Speaker 1: you know, so asserving you cleaning up the car and
18:15
Speaker 1: make doing maintenance and stuff. It's during automatic charging, so
18:22
Speaker 1: I think it's gonna actual cost for a mile of
18:26
Speaker 1: cyber cab will be very low. The cost for a
18:30
Speaker 1: while our existing I fee will be higher but still
18:33
Speaker 1: very competing. So breviously number of fifty sets and discussing, Yeah,
18:39
Speaker 1: this really fills road taxically. It will build from tiny
18:43
Speaker 1: to gigantic in terms of operations in pretty short period
18:47
Speaker 1: of time. Like my guess is there. It has material
18:52
Speaker 1: impact on our financials around the end of next year.
18:57
Speaker 1: Yeah that that that is a major CONSERVETI as I
19:00
Speaker 1: mentioned in the past, and I hope that is addressed
19:03
Speaker 1: to the upcoming shareholders meeting. But yeah, this is a
19:06
Speaker 1: big deal. Like you know, I want to find that
19:08
Speaker 1: I've bet like so a little control that I can
19:11
Speaker 1: usually be ousted by active as shareholders after having bolts
19:14
Speaker 1: you know these all if you're going robots. I think
19:18
Speaker 1: that as I mentioned before, I think my control of
19:22
Speaker 1: Hotaila should be enough to ensure that it goes in
19:25
Speaker 1: a good direction, but not so much control that I
19:28
Speaker 1: can't be thrown out if I go crazy. Yes, it's
19:30
Speaker 1: a bit of a tough thing because like when we
19:31
Speaker 1: do an aid. We find that some was literally done
19:35
Speaker 1: it pray by bray examination of our slightes everything we say,
19:39
Speaker 1: and they're coveyos. So you know of say like, well,
19:44
Speaker 1: what's the traidal. It does help with's recruiting, but then
19:49
Speaker 1: competitors look break clessly in coveyots. I mean that said
19:53
Speaker 1: we should probably I mean, I guess we could consider
19:55
Speaker 1: the shareholder beginning to be sort of an A can
20:00
Speaker 1: do if we can maybe go to depth, some solid
20:02
Speaker 1: amount of depth at the ill share Older meeting with
20:05
Speaker 1: respect to Optimus and a AI and that sort of
20:10
Speaker 1: our chip chip stuff. Perhaps, Yeah, the test also really
20:14
Speaker 1: underrated in terms of a chip design as well as
20:17
Speaker 1: AI software. So like there's a whole lot that chip
20:21
Speaker 1: that we were that that exists that we will prefer
20:23
Speaker 1: to bringing our car, that is, ANYI chip that then
20:27
Speaker 1: we would prefer to putting the car over our own.
20:29
Speaker 1: And even though it's been now out for several years
20:33
Speaker 1: and recognan that the air bike chip will be for
20:37
Speaker 1: a Vale game tream, in fact, it's it's so powerfully
20:41
Speaker 1: we'll have to interurb it or sun grief or pockets
20:45
Speaker 1: outside of the rings because it flows weary past the
20:48
Speaker 1: export restrictions. So let'sten export restrictions change. We actually will
20:52
Speaker 1: have to know if our ai bib ship is look
20:55
Speaker 1: kind of where hopefully list hopefully we keep raising the
20:58
Speaker 1: bar and the other way the kids bit silly. We'll
21:03
Speaker 1: have a bunch of Optimist robots on stage at the
21:06
Speaker 1: shareholder meeting. The Optimist lab is cool to see. It
21:09
Speaker 1: looks like it basically looks like the state of Westwold
21:12
Speaker 1: get robots in various stages, some of them, you know,
21:17
Speaker 1: in various stages of prepared, like I don't know. It's
21:20
Speaker 1: some combination of like the tattooing Chukyard and the and
21:25
Speaker 1: West Wolds. It's pretty cool. An octopus is walking around
21:31
Speaker 1: the office here in polls there are twenty four seven
21:35
Speaker 1: is just walking around like it's small, I think. And
21:38
Speaker 1: we're so optimistic, you know the t A diners that
21:42
Speaker 1: we're bub born. Yeah, so it's we'll go for a
21:46
Speaker 1: world where robots are rare to where they're so common
21:50
Speaker 1: that you don't even look up. Okay, we haven't really
21:53
Speaker 1: thought hard about that. We need to make sure it
21:56
Speaker 1: works when the bagels are pull the under our control
21:59
Speaker 1: and it's kind of one step at a time. Here
22:01
Speaker 1: we don't want to jump the gun. As I said,
22:03
Speaker 1: we're doing parallered about safety. So so it's just like
22:08
Speaker 1: but I guess, I guess like next year, I'd say
22:12
Speaker 1: competently next year. I'm not sure when next year, but
22:15
Speaker 1: competently next year. People who will be able to add
22:18
Speaker 1: to subtract their part to the Testla fleet. I'm just
22:22
Speaker 1: like at their bab or ing prossible well as seem
22:25
Speaker 1: as there is a clear cash blow stream associated with
22:29
Speaker 1: any any product that you can get finance it. Most
22:32
Speaker 1: people still done there the master yard. People don't know
22:35
Speaker 1: it exists, and it's still like half of Tesla owners
22:40
Speaker 1: who could use it, I haven't tried it even once
22:44
Speaker 1: this They don't actually rely as this is something we
22:47
Speaker 1: want to educate them on. So we've got to. When
22:51
Speaker 1: they come in for service, we'll reach out to them,
22:54
Speaker 1: send them like videos of how to make the work
22:57
Speaker 1: and most much it's it's such a shocking thing. They
23:00
Speaker 1: don't think a car is capable of this. So you
23:03
Speaker 1: have Jack, you have just show them and get them comfortable.
23:06
Speaker 1: Alternally don't know if it's so trivial, but it's it's
23:10
Speaker 1: like saying you've got a Canada sing a dance, but
23:13
Speaker 1: it just looked like an old cat. They're like, you know,
23:16
Speaker 1: until you see the cat sing a dance and talk
23:19
Speaker 1: like your series just a cat, that's that's tes I see.
23:24
Speaker 1: Our car is intelligence. Well, we're in this like weird
23:28
Speaker 1: transition period where we will lose a lot of intatus
23:30
Speaker 1: in the US. Incentives actually ready other parts of the world,
23:33
Speaker 1: but roll is them in the US, and it will
23:35
Speaker 1: still have at the relative early stages of autonomy. On
23:40
Speaker 1: the other autonomy is most advanced and most available from
23:43
Speaker 1: a regulatory standpoint in the US. So I mean, does
23:47
Speaker 1: that mean like we could have a few rough quarters. Yeah,
23:50
Speaker 1: we probably could have a few rough quarters. And I'm
23:53
Speaker 1: not saying the world, but we could Q you know,
23:55
Speaker 1: Q four, Q one, maybe Q two. But once you
23:58
Speaker 1: get to autonomy at scale in the second hand of
24:02
Speaker 1: half of next year, certainly by the end of next year,
24:05
Speaker 1: I think the I'm surprised to the economics, I'm not
24:10
Speaker 1: very simpellent because it's just a model. Why they look
24:14
Speaker 1: the cat out of the back there dancing cut that
24:16
Speaker 1: consilingly bess, But it can be. It can talk and think.
24:19
Speaker 1: But that's the cool part yeah, I mean the fundamentally,
24:23
Speaker 1: the biggest obstacle remains that people just don't happen. Some
24:26
Speaker 1: of the people don't know that. The desire to buy
24:29
Speaker 1: the car is very high. Just people don't have enough
24:31
Speaker 1: money in their bad account to buy it. Literally, that
24:34
Speaker 1: is the issue, not a lack of desire, but lack body.
24:38
Speaker 1: So the more affordable we can make the car, the
24:40
Speaker 1: better I think it's gonna be. It will be a
24:43
Speaker 1: very big deal when people can release their car to
24:46
Speaker 1: the fleet and have it earned money for them, which,
24:49
Speaker 1: like I said, i'm big. I feel confident saying that
24:52
Speaker 1: will happen next year in the US at least, and
24:54
Speaker 1: in the US where we're legally allowed, you appropriate displayers
25:00
Speaker 1: and they'll make the affordability dramatically greater, just like you know,
25:03
Speaker 1: if you have Airbnb and you ran out your home
25:07
Speaker 1: when you're not there, or ran out of a guest
25:10
Speaker 1: room or guest house or something like that, you're the
25:12
Speaker 1: affordabilit if your home is much greater. Well, they are
25:15
Speaker 1: doing different things here, so you know, the Xai is
25:19
Speaker 1: doing like you know, terabyte scale models and the multi
25:25
Speaker 1: terrabyt scale models. Tesla's one hundred times smaller models. So
25:31
Speaker 1: once real walth AI and once kind of I guess
25:35
Speaker 1: art official superintelligence tech thing. The I mean really kind
25:39
Speaker 1: of the genesis for XAI was that there were there
25:41
Speaker 1: were certain people who some people would not join Tesla
25:44
Speaker 1: AI engineers because they wanted to look at ASI. They
25:48
Speaker 1: would join Tesla, and I was like, well, maybe they'll
25:51
Speaker 1: join a new company. And now I think the Tesli
25:54
Speaker 1: bomb is extremely important, but not everyone agrees with me
25:56
Speaker 1: on that. And so rather than have them join and
26:00
Speaker 1: you know, open a eye or people or or some
26:03
Speaker 1: other company, it's like, as well have them create a
26:06
Speaker 1: company in that regard, which like say, I so that's
26:11
Speaker 1: you know, and you know, pilin make it. Make a
26:15
Speaker 1: decision do they want to work on It's like super
26:18
Speaker 1: intelligence data center or real wealthy idens good. They're both
26:23
Speaker 1: compelling problems, but some people work want to open one
26:26
Speaker 1: and some one of them the other