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<v Speaker 1>So too for the great groundbreaking and opening. So let's

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<v Speaker 1>see with that we can move to I guess Q

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<v Speaker 1>and A. We've obviously got significant bench strength here should

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<v Speaker 1>probably hit like a bench and anyway, which we maybe

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<v Speaker 1>have too many people on stage, but we'll try to

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<v Speaker 1>answer questions within reason, you know, which this is meant

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<v Speaker 1>to be kind of more of a long term sort

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<v Speaker 1>of discussion as opposed to, uh, you know, what will

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<v Speaker 1>be the production for the rest of the quarter type

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<v Speaker 1>of thing. So let's try to orient our questions towards

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<v Speaker 1>long term value creation and with that far away.

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<v Speaker 2>Rob.

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<v Speaker 3>All, it's a road lash for the Wolf research. Very

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<v Speaker 3>exciting plans about the the next generation vehicle and power

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<v Speaker 3>trains and batteries. I was hoping you can maybe talk

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<v Speaker 3>to us a little bit about the timeline for deploying this.

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<v Speaker 3>And it sounds like it's more than just a vehicle.

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<v Speaker 3>This is a kind of a paradigm change on how

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<v Speaker 3>vehicles are assembled, how batteries are put together and everything,

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<v Speaker 3>and does that also just get reconfigured into everything that

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<v Speaker 3>you do. So the model wise that are being built

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<v Speaker 3>here will be built very differently in the future. Maybe

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<v Speaker 3>just give us some feel for what happens from here

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<v Speaker 3>and what's the timeline for implementation.

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<v Speaker 2>Well, talk a little bit about that, but.

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<v Speaker 1>Broadly speaking, the most profound architectural changes will be in

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<v Speaker 1>future vehicles. Retooling a factory means bringing the factory down

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<v Speaker 1>for an extended period of time, and that's I would

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<v Speaker 1>preferred not to do that, I think. But but there

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<v Speaker 1>are variants in how Model Y is produced. So we've

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<v Speaker 1>got variants where there's rear casting, where there's a front

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<v Speaker 1>and rear casting, and.

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<v Speaker 2>We have the.

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<v Speaker 1>Structural battery pack, and then there are a number of

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<v Speaker 1>smaller improvements that occur. But I think for really really

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<v Speaker 1>big changes those would be future vehicles.

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<v Speaker 2>Yeah. I know, you guys want to add.

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<v Speaker 4>Lars maybe, I mean yeah, so, I mean, as far

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<v Speaker 4>as I agree with you one hundred percent, Elan, it's

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<v Speaker 4>it's it's really easy to put innovations in new vehicles,

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<v Speaker 4>but long term we'll obviously bring them back. We've always

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<v Speaker 4>talked about that, but we don't want to take our

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<v Speaker 4>factories down. As far as the timeline goes, you know,

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<v Speaker 4>we're gonna go as fast as we can left or right.

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<v Speaker 4>As always, you know, Elon alluded to the fact that

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<v Speaker 4>Mexico will build our next end vehicle, but we will

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<v Speaker 4>also be doing that in other plants, and so it's

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<v Speaker 4>really about getting them all up and running. We expect

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<v Speaker 4>that to be a huge volume product and yeah, we're

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<v Speaker 4>going to move that quickly over the next couple of years.

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<v Speaker 5>Let's go through all them.

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<v Speaker 6>Thanks first in not Buena Mexico, Marmos, that's great, congratulations.

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<v Speaker 6>Uh elon a question on applying first principles thinking and

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<v Speaker 6>innovation to an area that up to now has seemingly

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<v Speaker 6>been outside of your control, and that is on mining

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<v Speaker 6>and extraction of some of the key materials.

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<v Speaker 7>I believe a couple of.

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<v Speaker 6>Years ago you you had a patent on sodium chloride

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<v Speaker 6>to extract lithium from some from some clays and spodyming

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<v Speaker 6>clay and things of that nature. Any How, how does

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<v Speaker 6>that fit into the plan of maybe bringing real innovation

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<v Speaker 6>into a mining sector that could use a little you know,

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<v Speaker 6>maybe waking up and getting those costs down, because that

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<v Speaker 6>could be a relegating factor.

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<v Speaker 1>It seems well, we're gonna address whatever we think the

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<v Speaker 1>limiting factor is at any point in time, so we

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<v Speaker 1>would like to do the least amount possible, So we

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<v Speaker 1>don't want to get into the mining or refining sector.

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<v Speaker 2>We will do that if we have to.

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<v Speaker 1>I do think the focus really should be on refining capacity.

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<v Speaker 1>You know, we need to make just a very giant

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<v Speaker 1>amount of anode cathode lithium, latinatruxide, liatin combinates. It's really

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<v Speaker 1>the refining capacity that is the biggest choke point. Yeah,

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<v Speaker 1>so that's that's why we're building a lithium refinery in

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<v Speaker 1>Corpus Christy.

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<v Speaker 8>In terms of the mining companies that are out there,

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<v Speaker 8>uh and looking at that part of the value chain.

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<v Speaker 8>And so we do have large suppliers of lithium right

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<v Speaker 8>now and they are aware of you know, how we're

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<v Speaker 8>approaching the Corpus refinery and the technologies we're trying there.

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<v Speaker 8>And the reason we're making them aware of it is

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<v Speaker 8>because we think they're fundamentally more scalable. And as we

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<v Speaker 8>prove them out, we plan to share that with them because,

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<v Speaker 8>as Elon says, like, it's not really like we want

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<v Speaker 8>to do these things. We're doing them because it's not

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<v Speaker 8>happening fast enough. So if we can prove that it

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<v Speaker 8>can be done faster, the intention is to transfer that

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<v Speaker 8>knowledge to our large our current suppliers, and the same

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<v Speaker 8>is actually true. It was actually a clay process that

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<v Speaker 8>we were playing with and we continue to work on

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<v Speaker 8>the same is true on that. So we've worked with

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<v Speaker 8>our suppliers as well on trials and we're sharing knowledge

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<v Speaker 8>there and the intention is just to help the whole

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<v Speaker 8>world do this better. And ultimately this here is getting

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<v Speaker 8>the lithium or whatever it is out of the order.

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<v Speaker 1>And we're obviously building a cathode processing facility just adjacent

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<v Speaker 1>to this building. So a little further down the road

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<v Speaker 1>you'll see another large construction that's for cathode refining. But

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<v Speaker 1>like I said, we'd really prefer if others did that.

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<v Speaker 1>We're doing it because we have to, because we want to.

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<v Speaker 8>Yeah, And in that case, there just isn't really any

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<v Speaker 8>large scale cathode production in the United States and it

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<v Speaker 8>needed to be done. And again, if we're going to

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<v Speaker 8>do it, we're going to try to do it from

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<v Speaker 8>a first principles perspective. So we have tried a bunch

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<v Speaker 8>of new things there. We're confident that they will work,

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<v Speaker 8>and as they prove out again, we want to bring

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<v Speaker 8>them back to our supplier so they can build new

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<v Speaker 8>facilities more quickly with less investment.

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<v Speaker 2>Right, let's go to ben Hi ben Cala for bair.

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<v Speaker 9>So similar On the renewable side, Is there more that

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<v Speaker 9>you can do in Tesla to nudge the rest of

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<v Speaker 9>the renewable industry to speed up since it's such a

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<v Speaker 9>big a pillar of the master plan Three?

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<v Speaker 1>Well, I mean, I don't know more we can do,

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<v Speaker 1>but I can say that if there's like entrepreneurs out

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<v Speaker 1>there that wanted to have like a guaranteed chance of success,

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<v Speaker 1>it would be refining lithium or anode and cathodes or

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<v Speaker 1>any any materials whatsoever for uh leathium on cells as

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<v Speaker 1>no brainer.

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<v Speaker 9>Yep.

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<v Speaker 2>I think we're doing everything we can. So yeah.

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<v Speaker 8>On the on the reneable energy thing, the thing that

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<v Speaker 8>we can do Tesla is the more we reduce the

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<v Speaker 8>cost of storage, the more we reduce the cost of

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<v Speaker 8>stationary storage, and the more we bring like flexible load

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<v Speaker 8>to the grid in the form of like cars charging

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<v Speaker 8>at the right times, the more valuable renewables are. Because

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<v Speaker 8>in like Texas right now, I wasn't joking like that's

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<v Speaker 8>off or whatever. So so bringing really low cost storage

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<v Speaker 8>onto the grid makes renewables more valuable. Which ultimately will

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<v Speaker 8>accelerate their deployment. So that's how we focus on it.

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<v Speaker 2>I guess.

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<v Speaker 10>Felippe, thank you. It's Sidi Bouscher Jeffries. I've got two questions.

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<v Speaker 10>The first one, when I think about in this industry,

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<v Speaker 10>everybody wants to be Tesla. Every comic er is trying

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<v Speaker 10>to emulate what you're doing well done. The one thing

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<v Speaker 10>they don't do is focus on having as much growth

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<v Speaker 10>as possible with as hew models as possible. So I'm

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<v Speaker 10>just trying to understand, as you aim for twenty million

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<v Speaker 10>units in twenty thirty, how many models do you think

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<v Speaker 10>you need to get there, and how does it fit

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<v Speaker 10>into your drive to hyper scale?

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<v Speaker 2>How do you manage this?

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<v Speaker 10>And also the fact that probably consumers at some point

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<v Speaker 10>I don't want to see your tests out the same

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<v Speaker 10>test at every street corner, So I'm just trying to

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<v Speaker 10>get your your sense of that.

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<v Speaker 2>And my other question is on.

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<v Speaker 10>Bidirectional I mean, you talked a lot about making you

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<v Speaker 10>know a world more renewables and better use it of cars.

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<v Speaker 10>I think bidirectional charging is one way of better using cars,

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<v Speaker 10>but you seem to have been reluctant about doing that

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<v Speaker 10>in the past, so I'm just wondering what your latest

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<v Speaker 10>views are on the topic.

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<v Speaker 8>Sure, on bi directional it it wasn't like a conscious

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<v Speaker 8>decision to not do it. It just wasn't a priority

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<v Speaker 8>at the time. I think is maybe the way to

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<v Speaker 8>think about it. As we looked, as we continue to

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<v Speaker 8>improve the para electronics in our vehicle, we've found ways

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<v Speaker 8>to bring brighter actionality while actually reducing costs of para

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<v Speaker 8>electronics in the vehicle. And at allten Tesla, the goal

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<v Speaker 8>is usually to get more for less, and so we

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<v Speaker 8>are in the middle of kind of like a power

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<v Speaker 8>electronics retool. I would say that we'll bring that functionality

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<v Speaker 8>to all of our vehicles over the next you know,

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<v Speaker 8>two years, let's say.

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<v Speaker 2>But but it's.

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<v Speaker 8>Yeah, I guess that's how I'll say there.

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<v Speaker 1>I don't think very many people are going to use

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<v Speaker 1>my directional charging unless you have a power wall, because

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<v Speaker 1>if you unplug your car, your house goes dark and

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<v Speaker 1>this is extremely inconvenient.

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<v Speaker 8>Yeah, most of the value it comes in charging the

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<v Speaker 8>car at the right time. It's not really about sending

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<v Speaker 8>energy the other way.

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<v Speaker 2>Yeah.

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<v Speaker 1>I mean, if if you have a power wall that

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<v Speaker 1>can take the house load then you can use your

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<v Speaker 1>car as supple as a supplementary energy source to the

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<v Speaker 1>power wall, and then you know you're not gonna drive

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<v Speaker 1>one crazy by unplugging your car and having the house goal.

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<v Speaker 2>So I think there's some value there as.

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<v Speaker 1>A supplemental energy source down the road where if you

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<v Speaker 1>have a power wall.

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<v Speaker 2>You've not diminished the convenience of the people in the house.

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<v Speaker 11>And the question of number of models, how many models?

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<v Speaker 1>But if not that many, I'm really ten, I don't know,

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<v Speaker 1>not that many. There's I mean what's happened with the

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<v Speaker 1>conventional cars is people have run out of things to do.

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<v Speaker 1>So if you run out of things to do, they

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<v Speaker 1>just end up reshuffling the deck and you have pretty

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<v Speaker 1>much the same. I mean, how many variants of a

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<v Speaker 1>car are there on the road. There's like hundreds. But

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<v Speaker 1>there are they good variants? No, mostly not. They're just

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<v Speaker 1>variants for the sake of variance. But look at how

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<v Speaker 1>have things converged with the phone. I mean, there used

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<v Speaker 1>to be hundreds of flip phones.

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<v Speaker 2>Now what do we have? It'll be like that.

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<v Speaker 12>George George Genericas from Cannon Coordenuity just had a question

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<v Speaker 12>about your plans to grow market share in China, and

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<v Speaker 12>also whether or not the political tensions between the United

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<v Speaker 12>States and China impact your long term ambitions there.

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<v Speaker 2>Thank you. I don't know, Hey, Tom Nott, do don't

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<v Speaker 2>don't swear too hard.

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<v Speaker 13>Yeah, well, we're still growing up our markets here in

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<v Speaker 13>China quite strongly, actually, especially you know early this year

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<v Speaker 13>we had this price adjustment. After that we actually generated

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<v Speaker 13>a huge demand more then we can produce. Really, and

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<v Speaker 13>as Elon said, as long as you're offer a product

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<v Speaker 13>with value at affordable price, you know, you don't have

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<v Speaker 13>to worry about demand. That's basically the philosophy that we

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<v Speaker 13>we follow. We try everything to cut cost from supply chain,

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<v Speaker 13>from improve the efficiency in the factory, and to pass

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<v Speaker 13>down that value to our customers. I think you as

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<v Speaker 13>long as we'll continue to do that, I'm not too

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<v Speaker 13>concerned about the market share in China. In the second part, Geopolic,

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<v Speaker 13>no one else.

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<v Speaker 2>We do our best.

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<v Speaker 13>We we we actually create a lot of jobs to

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<v Speaker 13>look low community, and we tender also.

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<v Speaker 2>With at our suppliers.

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<v Speaker 13>Factories will create a lot of jobs as well, and

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<v Speaker 13>we'll contribute with a lot of to the local economy.

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<v Speaker 13>I think you know, as long as we're needed in

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<v Speaker 13>this country. I don't see there much.

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<v Speaker 11>Of the risk of that, Colin, Colin Rush from Oppenheimer.

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<v Speaker 11>You know, one of the things I was struck by

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<v Speaker 11>in the presentation was the operational efficiency metrics that you

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<v Speaker 11>guys are talking about. Could you talk a little bit

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<v Speaker 11>about the velocity of learning cycles and how you guys

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<v Speaker 11>track that and think about that as an organization as

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<v Speaker 11>you work into a variety of other areas from a

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<v Speaker 11>innovation perspective, if anyone wanted to try that, I.

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<v Speaker 8>Mean, I'll say one very high level thing, which is

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<v Speaker 8>you can't improve something you don't measure. And we're like

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<v Speaker 8>ruthless measurers at Tesla, and once you start measuring things

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<v Speaker 8>that contribute to operational efficiency, you actually have a path

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<v Speaker 8>to doing something about it. So I guess the key

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<v Speaker 8>is a good measuring stick.

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<v Speaker 1>Okay, it's something I should say with respect to demand,

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<v Speaker 1>which I've said a few times over the years, but

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<v Speaker 1>it sometimes it needs to be set again, which is.

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<v Speaker 2>The overwhelmingly the uh.

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<v Speaker 1>There's the desire for people to own a Tesla is

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<v Speaker 1>extremely high. The limiting factor is their ability to pay

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<v Speaker 1>for a tesla, not do they want to eat Tesla.

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<v Speaker 1>It's easy for people in this room to lose sight

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<v Speaker 1>of that. If your income is far in excess of

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<v Speaker 1>what a car costs, then you look at value for money,

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<v Speaker 1>but you do not consider affordability. But for the vast

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<v Speaker 1>majority of people it is affordability driven. This is why

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<v Speaker 1>we cannot simply double the price of the car. Or

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<v Speaker 1>you could say and think about things in the limit

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<v Speaker 1>where if you hadn't you know, an infinitely desirable car,

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<v Speaker 1>but it costs ten million dollars, it wouldn't matter because

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<v Speaker 1>people can Most people do not have that, So demand

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<v Speaker 1>is very much a function of affordability, not desire. Very important.

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<v Speaker 1>One of the things we weren't sure about was the

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<v Speaker 1>price elasticity of demand for Tesla's, so like, as we

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<v Speaker 1>lower the price, how much does demand increase? And we

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<v Speaker 1>found that even small changes in the price have a

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<v Speaker 1>big effect on demand, very big. So that was a

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<v Speaker 1>good thing to learn. Yeah, and then this autonomy question.

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<v Speaker 2>Is very very big.

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<v Speaker 1>Because it could potentially have I don't know, five times

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<v Speaker 1>the utility of the asset that you currently have.

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<v Speaker 2>So passenger car.

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<v Speaker 1>Is ten or twelve hours a week of usage plus

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<v Speaker 1>a lot of parking expenses, an autonomous car could be

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<v Speaker 1>fifty sixty hours a week or something like that, and

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<v Speaker 1>you could get rid of a lot of parking expenses.

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<v Speaker 1>So you know, if this, if this is true, then

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<v Speaker 1>as autonomy is effectively turned on for the fleet, it

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<v Speaker 1>may be that it probably will be the biggest asset

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<v Speaker 1>value increase in history overnight, Emmanuel, Thank you so much.

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<v Speaker 14>Emanuel Raznov from Deutsche Bank. So, as you start launching

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<v Speaker 14>this next generation vehicle and ramping up volume, what will

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<v Speaker 14>be your nearest term priority in terms of segment or

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<v Speaker 14>vehicles focus. The slide that you showed with two vehicles

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<v Speaker 14>under wrap seemed based on form factor one of them

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<v Speaker 14>maybe he looks like a van, another one looks like

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<v Speaker 14>maybe like a smaller vehicle, like potentially a model. To

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<v Speaker 14>what is the nearest focus for you in terms of

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<v Speaker 14>ramping up the next gen vehicle and how do you

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<v Speaker 14>make sure that by lowering the price point so much,

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<v Speaker 14>because the costs is going down fifty percent, you're not

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<v Speaker 14>cannibalizing demand, you know for your existing vehicles, I mean

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<v Speaker 14>demand for our vehicles in terms of desire to own

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<v Speaker 14>them may as well be infinite. It's indistinguishable from infinite

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<v Speaker 14>at this point, affordability is what matters. So as you

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<v Speaker 14>make the car more affordable, we will have demand go crazy. Basically,

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<v Speaker 14>the issue is how do we build the cars. The

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<v Speaker 14>hard part is building the cars. I can't emphasize that enough.

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<v Speaker 14>The hard part is building the cars and the entire

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<v Speaker 14>supply chain that goes with the cars.

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<v Speaker 9>This is a.

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<v Speaker 1>Logistics challenge of extraordinary difficulty. All the things that have

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<v Speaker 1>to go into the car have to scale with the

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<v Speaker 1>car while everything is doing an exponential ramp. And if

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<v Speaker 1>you miss even one of those things doesn't matter. Why earthquake,

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<v Speaker 1>flood fire, revolution, I thought I've heard them all.

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<v Speaker 2>I mean, it's.

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<v Speaker 1>Any part of that supply chain gets interrupted, you're now

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<v Speaker 1>then you have a seizure. The hard part is building

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<v Speaker 1>the cars, by far, and the supply chain that goes

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<v Speaker 1>with it. You guys want to talk about the supply

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<v Speaker 1>chains though, yeah they might, I think, you know.

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<v Speaker 15>And the presentation I'd mentioned perfection is a passing great.

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<v Speaker 15>We really need everything to happen perfectly, and the strategy

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<v Speaker 15>for mitigating the different risks, some of which were anticipated

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<v Speaker 15>and some weren't, is really bespoke to the situation. And

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<v Speaker 15>then really the unique subject matter expertise and a deep

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<v Speaker 15>knowledge of the particular supply chain you're managing to come

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<v Speaker 15>up with those strategies. So we've seen everything from as

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<v Speaker 15>Elon mentioned, you know, first the tariffs that flew back

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<v Speaker 15>and forth, then the ocean logistics issue, a chip shortage,

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<v Speaker 15>COVID floods, there was a fire and a fab in

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<v Speaker 15>Japan that knocked down. There was a massive COVID spike

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<v Speaker 15>in Malaysia where a lot of the chips to the

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<v Speaker 15>back end of a lot of chips was down there.

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<v Speaker 15>In more, this was one that Elon was involved with

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<v Speaker 15>as well. And yeah, that's it's nerve wracking, but somehow

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<v Speaker 15>it works.

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<v Speaker 7>Yeah, and although it is difficult, I think we have

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<v Speaker 7>been laying the foundation to be as intimate to all

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<v Speaker 7>the tiers of the supply chain, building that control and

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<v Speaker 7>you know, directing the different tiers of supply chain. That's

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<v Speaker 7>the way we are trying to make it. The risks

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<v Speaker 7>that come with it, you know, again, dual sourcing, triple sourcing,

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<v Speaker 7>having redundancy is the way we've been trying to mitigate

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<v Speaker 7>for it.

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<v Speaker 2>Yeah.

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<v Speaker 4>On that point, when we think about vehicles, when you

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<v Speaker 4>think about three y as an architecture SX as an architecture,

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<v Speaker 4>our next generation platform is more than one segment, and

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<v Speaker 4>really we're thinking about all the segments that are available

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<v Speaker 4>that we haven't captured and where the market would be

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<v Speaker 4>and designing it with our supply chain partners so that

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<v Speaker 4>we can go quickly through those segments for where we need.

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<v Speaker 4>But to Elon's point, if you make a car desirable

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<v Speaker 4>and affordable, you know, oftentimes it doesn't necessarily matter what

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<v Speaker 4>segment it's in because it's one that you want. And

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<v Speaker 4>we've seen that with Model three when a lot of

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<v Speaker 4>people thought that sedan was not going to be a

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<v Speaker 4>great hit, but we sell tons of them. So the

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<v Speaker 4>next generation platform is not one vehicle, it is multiple,

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<v Speaker 4>and it's on the segment that we will, you know,

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<v Speaker 4>really try and focus on that affordability and desira ability

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<v Speaker 4>point more over than where we start it.

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<v Speaker 1>Yeah, I mean there's like, I think it's an old saying,

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<v Speaker 1>like battles the one with tactics or is the one

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<v Speaker 1>with logistics. The logistics challenges here are enormous, and when

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<v Speaker 1>you start like being a very significant percentage of an industry,

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<v Speaker 1>you can't overcapacitize. It's not realistic, and some of these

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<v Speaker 1>things like you say, like well you dual source or

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<v Speaker 1>triple source. You can do that maybe for small things,

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<v Speaker 1>but you can't do it for big things because if

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<v Speaker 1>you're if you're triple sourced and one of it's like

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<v Speaker 1>having a plane with three engines, where if any of

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<v Speaker 1>the three engines fails, you crash.

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<v Speaker 2>It's like, you know, so.

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<v Speaker 1>You have to eat the overcapacitizes, which drives your cafex

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<v Speaker 1>up and it has idle suppliers somewhere and big warehouses,

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<v Speaker 1>or you're designed to some overage that's you know, reasonable,

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<v Speaker 1>and then you have expedite costs because inevitably there's something

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<v Speaker 1>goes wrong somewhere and you've got to fly things around.

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<v Speaker 1>So it's really just the rate of progress is the

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<v Speaker 1>rate of which we are able to scale a ten

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<v Speaker 1>thousand logistics problems.

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<v Speaker 2>The most significant of those is the.

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<v Speaker 1>Cell production, and so we actually liberately try to overdo

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<v Speaker 1>cell production or self supply.

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<v Speaker 2>To have that exceed what is needed in vehicles.

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<v Speaker 1>Because if it goes below what's needed in vehicles, then

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<v Speaker 1>with the factories stall. But then what do you do

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<v Speaker 1>with all these extra cells? It's like, well, okay, so

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<v Speaker 1>the much easier thing to scale up and down is

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<v Speaker 1>is powerwall and megapac output stationary storage. So we can

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<v Speaker 1>then overcapacities and sells and packs and scale production of

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<v Speaker 1>stationary storage, which is much easier to scale than vehicle production.

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<v Speaker 2>So that's strategically, I think, a good thing.

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<v Speaker 1>Yeah, I mean the capex for megapac is tiny compared

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<v Speaker 1>to capex for vehicles.

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<v Speaker 2>And also megapac demand is quasi infinite.

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<v Speaker 1>It basically as long as we are competitive with utilities,

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<v Speaker 1>we can sell as many like it's yeah, quasi infinite

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<v Speaker 1>demand for that really for multi tier many Taro White hours,

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<v Speaker 1>and we got a long way to go to get

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<v Speaker 1>to many Taro White hours per year.

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<v Speaker 2>Then let's go to down.

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<v Speaker 16>Thank you, Dan Leevy Barclays. I think we know competitive

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<v Speaker 16>dynamics differ significantly by region. Cost dynamics different by region.

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<v Speaker 16>We saw that with your China Giga factory, far superior

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<v Speaker 16>cost to what you had for a month I realized

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<v Speaker 16>it was a new factory. But uh, they're clearly different dynamics.

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<v Speaker 16>So to what extent are the cost strategies that you've

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<v Speaker 16>laid out today, Do they differ by region or or

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<v Speaker 16>is there more of a global, one size fits all

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<v Speaker 16>approach on reducing costs?

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<v Speaker 13>Yeah, I think we're pretty consistent under the strategy here.

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<v Speaker 13>We'll try it as as much localized as possible. Like

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<v Speaker 13>in China, ninety five percent over ninety five percent of

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<v Speaker 13>our supplying are localized all the way from a first

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<v Speaker 13>tier to secondarium that the third tier, and that gives

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<v Speaker 13>us general detrimentous savings on cocks. And we also have

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<v Speaker 13>a very localized labor force, and we have access to

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<v Speaker 13>scale the labor force in the region and Young's adulta

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<v Speaker 13>region in Shanghai, and particularly referring to and among over

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<v Speaker 13>thirty thousands of employees in China, we have probably less

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<v Speaker 13>than twenty expats. So it's uh very deep localization we

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<v Speaker 13>have done there to be able to have such cost structure,

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<v Speaker 13>and we try to replicate this approach elsewhere and in

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<v Speaker 13>different give factories. Of course, you know the supplier base

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<v Speaker 13>that are different, the you know, labor market are different

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<v Speaker 13>region by region, the country back country, but which are our.

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<v Speaker 2>Best to to localize.

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<v Speaker 16>Yeah, and and.

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<v Speaker 2>I think that's that's absolutely.

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<v Speaker 13>Give us advantage to compete with the all the ms

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<v Speaker 13>around the globe. Another thing is you know, we have

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<v Speaker 13>this direct selling mode like Zach's that you know will

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<v Speaker 13>save with tremendous money on op acces as well. We

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<v Speaker 13>have food controller all expenditures across the the company, and

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<v Speaker 13>you know we don't spend money on marketing or advertising.

426
00:27:16.599 --> 00:27:21.839
<v Speaker 13>Everything we saved and will become you know, the value

427
00:27:21.880 --> 00:27:25.200
<v Speaker 13>we can offer to the consumers. So that part, on

428
00:27:25.319 --> 00:27:28.920
<v Speaker 13>that part, we also followed pretty consistent strategy over the years.

429
00:27:31.920 --> 00:27:34.480
<v Speaker 4>I mean, certainly the manufacturing stuff that Colin Pete and

430
00:27:34.559 --> 00:27:37.079
<v Speaker 4>myself talked about, whether you make it here, you make

431
00:27:37.119 --> 00:27:38.720
<v Speaker 4>it in Europe, or you make it in Asia, it

432
00:27:38.759 --> 00:27:40.920
<v Speaker 4>applies everywhere. We think about that from the ground up,

433
00:27:41.200 --> 00:27:42.799
<v Speaker 4>not not specific to any region.

434
00:27:45.400 --> 00:27:48.359
<v Speaker 17>Yeah, just one thing I would add to Tom's point

435
00:27:48.359 --> 00:27:52.200
<v Speaker 17>about localization and to Lars's point here, I would actually

436
00:27:52.240 --> 00:27:54.559
<v Speaker 17>say that we're moving in a direction of more standardization

437
00:27:54.720 --> 00:27:56.799
<v Speaker 17>in terms of our factories and our processes and our

438
00:27:56.839 --> 00:27:59.720
<v Speaker 17>cost reduction approaches. So as we've been thinking about the

439
00:27:59.759 --> 00:28:03.880
<v Speaker 17>next generation platform, we've been thinking about the volume that

440
00:28:04.039 --> 00:28:08.079
<v Speaker 17>we aspire to build against that. How many individual factories

441
00:28:08.119 --> 00:28:10.599
<v Speaker 17>do we need to build and what is the fastest

442
00:28:10.680 --> 00:28:15.240
<v Speaker 17>possible way to expand that footprint around the world. What

443
00:28:15.359 --> 00:28:17.680
<v Speaker 17>we've done with Model why is each factory is an

444
00:28:17.720 --> 00:28:21.720
<v Speaker 17>incremental improvement of the previous factory, which requires engineering hours

445
00:28:21.759 --> 00:28:24.440
<v Speaker 17>engineering spend for each factory design, and then you end

446
00:28:24.559 --> 00:28:26.640
<v Speaker 17>up with factories that are slightly different from each other.

447
00:28:27.319 --> 00:28:30.599
<v Speaker 17>And as we move towards the next generation platform, I

448
00:28:30.680 --> 00:28:34.599
<v Speaker 17>think the term you use, Lars is copy paste, so

449
00:28:34.839 --> 00:28:38.079
<v Speaker 17>to get it right from the first time, you know,

450
00:28:38.200 --> 00:28:40.000
<v Speaker 17>certainly there will be things that we learn and we

451
00:28:40.119 --> 00:28:43.200
<v Speaker 17>replicate and we make adjustments to but try to have

452
00:28:43.240 --> 00:28:46.480
<v Speaker 17>as much standardization and commonization as possible which allows us

453
00:28:46.519 --> 00:28:48.799
<v Speaker 17>to go as quickly as possible with expansion.

454
00:28:51.400 --> 00:28:51.960
<v Speaker 2>O raka.

455
00:28:52.160 --> 00:28:59.640
<v Speaker 18>On the sides, thanks Two questions, once for Zak one

456
00:28:59.680 --> 00:29:03.079
<v Speaker 18>flush self for Zach. How do you think about the

457
00:29:03.160 --> 00:29:07.559
<v Speaker 18>long term growth and operating margins for the business And

458
00:29:07.839 --> 00:29:09.640
<v Speaker 18>when we look at one hundred and fifty one hundred

459
00:29:09.680 --> 00:29:13.640
<v Speaker 18>and seventy five billion in capex as the remaining balance

460
00:29:13.720 --> 00:29:17.000
<v Speaker 18>of that is that essentially the capex guidance through twenty

461
00:29:17.079 --> 00:29:22.039
<v Speaker 18>thirty for a shock the multi trip reconstruction that you highlighted,

462
00:29:22.519 --> 00:29:24.640
<v Speaker 18>how is that different from what mobil eyed does with

463
00:29:24.799 --> 00:29:28.039
<v Speaker 18>the IRAM map that they have And can you give

464
00:29:28.079 --> 00:29:30.480
<v Speaker 18>us any color on the AP four hardware.

465
00:29:35.279 --> 00:29:38.839
<v Speaker 17>So with respect to operating margins, you know, we intend

466
00:29:38.920 --> 00:29:41.920
<v Speaker 17>to continue to improve operating expenses as a percentage of

467
00:29:42.000 --> 00:29:45.680
<v Speaker 17>revenue over time, and we're continuing to take cost out

468
00:29:45.720 --> 00:29:48.720
<v Speaker 17>of our products and try to keep gross margins in

469
00:29:48.799 --> 00:29:51.799
<v Speaker 17>a place that's healthy as well. And so you know,

470
00:29:52.160 --> 00:29:55.519
<v Speaker 17>from the hardware perspective of the business, you know, it's

471
00:29:55.519 --> 00:29:57.640
<v Speaker 17>our expectation that will continue to stay in a healthy

472
00:29:57.680 --> 00:30:01.880
<v Speaker 17>place over time. And then there's a software portion that's

473
00:30:01.880 --> 00:30:04.119
<v Speaker 17>added on top of that. And so Elan has commented

474
00:30:04.160 --> 00:30:06.960
<v Speaker 17>on this many times about the impact that full self

475
00:30:07.039 --> 00:30:09.480
<v Speaker 17>driving software can have on the economics of the business,

476
00:30:10.200 --> 00:30:14.000
<v Speaker 17>and in that space, you know, profitability operating margins would

477
00:30:14.000 --> 00:30:18.720
<v Speaker 17>be impacted dramatically. Specifically to your point about CAPEX guidance,

478
00:30:19.079 --> 00:30:20.759
<v Speaker 17>you know, the intent of that slide was not to

479
00:30:20.839 --> 00:30:24.519
<v Speaker 17>provide specific guidance, but to just be transparent about internally

480
00:30:25.319 --> 00:30:28.880
<v Speaker 17>what our rough estimates are and to provide context that

481
00:30:29.240 --> 00:30:31.799
<v Speaker 17>we think getting to twenty million vehicles per year in

482
00:30:31.880 --> 00:30:34.880
<v Speaker 17>one taara what hour of energy storage is very feasible

483
00:30:34.960 --> 00:30:38.640
<v Speaker 17>relative to our expected cash generation for the business. That's

484
00:30:38.680 --> 00:30:41.400
<v Speaker 17>a number that we'll move as we learn. We may

485
00:30:41.480 --> 00:30:44.119
<v Speaker 17>choose to vertically integrate more into things, we may find

486
00:30:44.160 --> 00:30:47.680
<v Speaker 17>efficiencies elsewhere. To the whole conversation we were having earlier

487
00:30:47.680 --> 00:30:49.680
<v Speaker 17>about do we do mining, do we not do mining,

488
00:30:50.279 --> 00:30:53.200
<v Speaker 17>But the entire point is to say that this is

489
00:30:53.240 --> 00:30:55.440
<v Speaker 17>something that's entirely possible based upon our.

490
00:30:55.359 --> 00:31:01.119
<v Speaker 19>Forecast regarding the monkey to preconstruction. My point I was

491
00:31:01.160 --> 00:31:04.400
<v Speaker 19>trying to make was that we want to auto label

492
00:31:04.480 --> 00:31:06.519
<v Speaker 19>most of the data, and we can collect data from

493
00:31:06.519 --> 00:31:08.839
<v Speaker 19>the fleet and then reconstruct local areas that can act

494
00:31:08.839 --> 00:31:12.000
<v Speaker 19>ass supervision for those clips. Since we want to build

495
00:31:12.000 --> 00:31:14.960
<v Speaker 19>a scalable self driving system, we don't want to really

496
00:31:15.000 --> 00:31:17.359
<v Speaker 19>relay on stamps or anything, even though we could really

497
00:31:17.400 --> 00:31:20.720
<v Speaker 19>build something using the same technology. But this is mostly

498
00:31:20.759 --> 00:31:24.720
<v Speaker 19>for auto labeling, and this provides like precise three D

499
00:31:24.799 --> 00:31:27.839
<v Speaker 19>labels for all the video sequences involved in the reconstruction.

500
00:31:31.960 --> 00:31:35.519
<v Speaker 1>It's something that's I don't know if we touched on

501
00:31:35.599 --> 00:31:38.960
<v Speaker 1>this much. But in terms of training, we have one

502
00:31:38.960 --> 00:31:41.640
<v Speaker 1>of the biggest neural net training systems in the world,

503
00:31:41.839 --> 00:31:46.240
<v Speaker 1>and that we expect to increase that capablely by an

504
00:31:46.279 --> 00:31:49.200
<v Speaker 1>order of magnitude by the end of this year and

505
00:31:49.559 --> 00:31:52.880
<v Speaker 1>probably another order of magnitude by the end of next

506
00:31:52.960 --> 00:32:00.559
<v Speaker 1>year with some combination of Invidia and Dojo. So like

507
00:32:00.720 --> 00:32:04.359
<v Speaker 1>much of the scale of that is quite going down people,

508
00:32:04.759 --> 00:32:05.519
<v Speaker 1>and it's enormous.

509
00:32:08.640 --> 00:32:12.279
<v Speaker 5>Maybe the final two questions one from Alex and one

510
00:32:12.359 --> 00:32:13.039
<v Speaker 5>from Chris.

511
00:32:17.880 --> 00:32:22.200
<v Speaker 20>Okay, Alex Potter with Piper, So I definitely want to

512
00:32:22.759 --> 00:32:25.960
<v Speaker 20>ask Drew or anybody else up there for an update

513
00:32:26.079 --> 00:32:29.279
<v Speaker 20>on dry battery electrode. Right, So, if you're gonna try

514
00:32:29.319 --> 00:32:34.519
<v Speaker 20>to overcapacitize towards cells scale a lot of this Clearly,

515
00:32:34.599 --> 00:32:36.559
<v Speaker 20>there's a lot of moving pieces and it's a complex

516
00:32:36.680 --> 00:32:39.119
<v Speaker 20>sort of orchestra with the supply chain, but a lot

517
00:32:39.160 --> 00:32:41.519
<v Speaker 20>of it comes down to dry battery electrode, at least

518
00:32:41.559 --> 00:32:41.720
<v Speaker 20>to me.

519
00:32:43.039 --> 00:32:44.079
<v Speaker 2>So how are you trending?

520
00:32:44.559 --> 00:32:46.359
<v Speaker 20>That was the most fascinating part of the factory tour

521
00:32:46.440 --> 00:32:48.680
<v Speaker 20>for me, and looking through that window and seeing that

522
00:32:48.839 --> 00:32:52.160
<v Speaker 20>this is clearly not a science project, but anything that

523
00:32:52.200 --> 00:32:56.200
<v Speaker 20>you're willing to disclose yields progress where you are today

524
00:32:56.279 --> 00:33:02.400
<v Speaker 20>versus where you thought you were going to be. Yeah, thanks, right.

525
00:33:07.000 --> 00:33:09.039
<v Speaker 8>Uh yeah, I mean as you saw right, Like it's

526
00:33:09.319 --> 00:33:11.720
<v Speaker 8>this is this is a real factory making a lot

527
00:33:11.799 --> 00:33:15.960
<v Speaker 8>of dry electrode in an automated fashion. We've made a

528
00:33:16.000 --> 00:33:21.119
<v Speaker 8>lot of progress. Uh, it's it's a it's a spectrum.

529
00:33:21.440 --> 00:33:25.119
<v Speaker 8>Like we we're perfectionists, and we we have clear end

530
00:33:25.160 --> 00:33:30.720
<v Speaker 8>goals and we are every week that goes by making

531
00:33:30.799 --> 00:33:33.799
<v Speaker 8>progress towards those end goals, whether it's speed of the tool,

532
00:33:33.960 --> 00:33:36.839
<v Speaker 8>yield of the of that process, or the downstream process.

533
00:33:39.759 --> 00:33:42.200
<v Speaker 8>We we haven't stalled out yet on the rate of

534
00:33:42.279 --> 00:33:44.920
<v Speaker 8>progress either, and that's both on the eNode and the

535
00:33:44.960 --> 00:33:49.720
<v Speaker 8>cathode side. And I think the great thing about where

536
00:33:49.759 --> 00:33:53.000
<v Speaker 8>we are with the overcapacity that Elon mentioned is it's

537
00:33:53.119 --> 00:33:58.079
<v Speaker 8>giving us the opportunity to experiment as we go rather

538
00:33:58.160 --> 00:34:01.400
<v Speaker 8>than just being like stuck to something that we happen

539
00:34:01.480 --> 00:34:03.519
<v Speaker 8>to kick off a year and a half ago. And

540
00:34:03.599 --> 00:34:06.240
<v Speaker 8>it is here something that Elon has said to the

541
00:34:06.319 --> 00:34:10.639
<v Speaker 8>team many times is so okay to scrap equipment or money,

542
00:34:10.800 --> 00:34:13.960
<v Speaker 8>it's not okay to scrap time. So the way we've

543
00:34:13.960 --> 00:34:17.320
<v Speaker 8>been approaching it is probabilistically, what do we think is

544
00:34:17.320 --> 00:34:20.480
<v Speaker 8>the most likely thing to succeed. And even actually in

545
00:34:20.599 --> 00:34:23.000
<v Speaker 8>the factory here you saw more than one anode line

546
00:34:23.920 --> 00:34:26.840
<v Speaker 8>that they are actually operating two slightly different versions of

547
00:34:26.960 --> 00:34:29.800
<v Speaker 8>the final process step of the powder entering the tool,

548
00:34:30.199 --> 00:34:33.000
<v Speaker 8>and it's a competition, you know, which is going to

549
00:34:33.039 --> 00:34:34.840
<v Speaker 8>be more higher yield, which is going to perform better,

550
00:34:35.119 --> 00:34:36.599
<v Speaker 8>And we have the luxury to be able to do that,

551
00:34:37.639 --> 00:34:39.559
<v Speaker 8>and we're taking full advantage of it to advance the

552
00:34:39.599 --> 00:34:41.000
<v Speaker 8>technology as quickly as possible.

553
00:34:42.880 --> 00:34:45.679
<v Speaker 2>The dir electrode problem is really quite a hard problem.

554
00:34:46.519 --> 00:34:49.320
<v Speaker 1>I mean, we acquired Maxwell really just for the dry

555
00:34:49.320 --> 00:34:55.639
<v Speaker 1>electrode technology, but just illustrates what a gigantic gap there

556
00:34:55.760 --> 00:34:58.880
<v Speaker 1>is between something working at small scale and at large scale.

557
00:35:00.639 --> 00:35:02.679
<v Speaker 2>And we've had a an.

558
00:35:02.559 --> 00:35:07.639
<v Speaker 1>Extremely talented team of engineers working on scaling the dry

559
00:35:07.639 --> 00:35:15.119
<v Speaker 1>electrode process and having to be reliable, consistent, and we've

560
00:35:15.159 --> 00:35:19.280
<v Speaker 1>been grinding hard, literally and figuratively on this for quite

561
00:35:19.280 --> 00:35:22.960
<v Speaker 1>a while. It seems likely that we will be able

562
00:35:23.000 --> 00:35:24.719
<v Speaker 1>to scale it to volume this year.

563
00:35:26.480 --> 00:35:29.079
<v Speaker 8>Yeah, I mean we're we're basically increasing the output week

564
00:35:29.119 --> 00:35:32.880
<v Speaker 8>over week, like roughly one k week per quarters our

565
00:35:32.960 --> 00:35:36.679
<v Speaker 8>internal target, and we're you know, we're tracking to that.

566
00:35:37.119 --> 00:35:41.840
<v Speaker 8>I think the what you saw is effectively like a

567
00:35:42.000 --> 00:35:45.440
<v Speaker 8>ton of material per hour per tool. It's kind of

568
00:35:45.480 --> 00:35:49.400
<v Speaker 8>like hard to like rationalize like what that really means,

569
00:35:51.039 --> 00:35:54.639
<v Speaker 8>but it's it's it is. It's different than like, oh,

570
00:35:54.800 --> 00:35:56.480
<v Speaker 8>something works in a lab, it's like, well, when it's

571
00:35:56.559 --> 00:35:59.960
<v Speaker 8>tons of material per hour, there's just different kinds of problem.

572
00:36:00.440 --> 00:36:03.679
<v Speaker 8>Like even if you have zero point one percent escape

573
00:36:03.880 --> 00:36:08.320
<v Speaker 8>of like finds into the enclosure that your equipment is in,

574
00:36:08.840 --> 00:36:11.320
<v Speaker 8>now you have a dust problem and like that could

575
00:36:11.320 --> 00:36:13.599
<v Speaker 8>short out some electronics. It's like just things like this

576
00:36:14.480 --> 00:36:16.719
<v Speaker 8>where when you're on a lab scale you don't even

577
00:36:16.760 --> 00:36:19.440
<v Speaker 8>notice it, but when you're doing thousands of tons over

578
00:36:19.480 --> 00:36:21.400
<v Speaker 8>the course of months, it's like, oh, a new failure

579
00:36:21.440 --> 00:36:23.960
<v Speaker 8>mode we found, and that's where we're at. But we're

580
00:36:24.239 --> 00:36:28.519
<v Speaker 8>we're knocking those out though, and the team is grinding

581
00:36:28.599 --> 00:36:31.119
<v Speaker 8>through it, but progress every week.

582
00:36:33.960 --> 00:36:37.920
<v Speaker 5>And the last question from Chris, Thanks for taking a question.

583
00:36:38.239 --> 00:36:41.599
<v Speaker 5>I have a few follow ups on the next gen vehicle. First,

584
00:36:41.920 --> 00:36:44.159
<v Speaker 5>when do you think we'll get a look at it?

585
00:36:44.320 --> 00:36:48.000
<v Speaker 5>Maybe a prototype? Second, are there any details that you

586
00:36:48.079 --> 00:36:51.159
<v Speaker 5>think you can share in terms of the size, the content,

587
00:36:51.280 --> 00:36:53.920
<v Speaker 5>the performance. And Then third, I think you mentioned that

588
00:36:54.079 --> 00:36:56.960
<v Speaker 5>you would produce it in other plants in addition to Mexico.

589
00:36:57.599 --> 00:36:59.760
<v Speaker 5>Should we take that to mean that you can launch

590
00:36:59.840 --> 00:37:02.760
<v Speaker 5>it at an existing plant before you're finished constructing the

591
00:37:02.840 --> 00:37:03.920
<v Speaker 5>new plant in Mexico.

592
00:37:06.480 --> 00:37:10.679
<v Speaker 1>I think we'll actually have to probably decline that answer.

593
00:37:13.119 --> 00:37:16.559
<v Speaker 1>We will have a proper sort of product event, but

594
00:37:17.480 --> 00:37:18.880
<v Speaker 1>we would be jumping the gun if we were to

595
00:37:18.920 --> 00:37:23.719
<v Speaker 1>answer your questions. Maybe another question if this yeah, yeah,

596
00:37:24.360 --> 00:37:25.400
<v Speaker 1>I don't know anyone.

597
00:37:27.320 --> 00:37:28.440
<v Speaker 5>Will willed enough.

598
00:37:32.199 --> 00:37:33.079
<v Speaker 2>I have two questions.

599
00:37:33.159 --> 00:37:35.159
<v Speaker 21>This has really been a very impressive afternoon.

600
00:37:35.239 --> 00:37:35.920
<v Speaker 2>Thank you so much.

601
00:37:36.519 --> 00:37:36.800
<v Speaker 9>Elon.

602
00:37:36.880 --> 00:37:40.599
<v Speaker 21>I'm curious, as you've doubled and you'll double again, how

603
00:37:41.519 --> 00:37:44.760
<v Speaker 21>what you've learned about sort of managing a larger enterprise

604
00:37:44.880 --> 00:37:47.320
<v Speaker 21>and what you might have to you know, do to

605
00:37:48.119 --> 00:37:51.079
<v Speaker 21>manage a bigger enterprise. And then secondly, I'm curious on

606
00:37:51.199 --> 00:37:55.039
<v Speaker 21>your thoughts on how you know generative AI and you

607
00:37:55.119 --> 00:37:59.119
<v Speaker 21>know these rapid breakthroughs in AI in the last months

608
00:37:59.719 --> 00:38:04.440
<v Speaker 21>could help you make cars sort of you know, less

609
00:38:04.599 --> 00:38:05.199
<v Speaker 21>hard to make.

610
00:38:05.960 --> 00:38:06.239
<v Speaker 2>Thank you.

611
00:38:09.760 --> 00:38:12.519
<v Speaker 1>I don't see AI helping us make cars anytime soon

612
00:38:15.000 --> 00:38:19.679
<v Speaker 1>at that point, I mean, at no point in any

613
00:38:19.679 --> 00:38:23.639
<v Speaker 1>of us working anything big problems, So we'll just chill out.

614
00:38:26.320 --> 00:38:29.360
<v Speaker 1>I mean, I'm a little worried about the AI stuff.

615
00:38:32.800 --> 00:38:36.119
<v Speaker 1>I think it's uh something I don't know which we

616
00:38:36.199 --> 00:38:37.239
<v Speaker 1>should be concerned about.

617
00:38:38.039 --> 00:38:42.039
<v Speaker 2>Uh, I don't know.

618
00:38:42.039 --> 00:38:43.880
<v Speaker 1>I think we should need some kind of like regulatory

619
00:38:44.360 --> 00:38:48.880
<v Speaker 1>authority or something that's overseeing AI development and just making

620
00:38:48.920 --> 00:38:52.760
<v Speaker 1>sure that it's operating within the public interests. And you know,

621
00:38:52.920 --> 00:38:57.920
<v Speaker 1>it's quite a dangerous, quite a dangerous technology, and I

622
00:38:58.800 --> 00:39:01.920
<v Speaker 1>I fear I may have done some things to accelerate it,

623
00:39:02.079 --> 00:39:09.960
<v Speaker 1>which is I don't know. So, I mean, some of

624
00:39:10.000 --> 00:39:12.920
<v Speaker 1>the AI stuff I think is just obviously useful, like

625
00:39:13.039 --> 00:39:18.400
<v Speaker 1>what we're doing with self driving, which is you know,

626
00:39:18.480 --> 00:39:22.199
<v Speaker 1>some people think is an AGI type problem. I don't

627
00:39:22.199 --> 00:39:25.000
<v Speaker 1>think it's quite an a GI problem, but it's certainly

628
00:39:25.199 --> 00:39:31.599
<v Speaker 1>requires very sophisticated neural nets because the road system is

629
00:39:31.679 --> 00:39:36.719
<v Speaker 1>designed for eyes and biological neural nets, so naturally the

630
00:39:37.119 --> 00:39:38.079
<v Speaker 1>analog to that is.

631
00:39:39.880 --> 00:39:43.719
<v Speaker 2>Cameras with digital neural nets.

632
00:39:45.719 --> 00:39:50.199
<v Speaker 1>And yeah, the thing we've we found is just there's

633
00:39:50.199 --> 00:39:53.079
<v Speaker 1>a sick if you actually look at our neural net

634
00:39:53.199 --> 00:39:58.719
<v Speaker 1>architecture in the carts, kind of insane, frankly, nets upon

635
00:39:58.840 --> 00:39:59.840
<v Speaker 1>nets upon nets upon.

636
00:40:00.079 --> 00:40:04.239
<v Speaker 19>That's the visualization toold crashes open. Yeah, it's like so

637
00:40:04.320 --> 00:40:06.559
<v Speaker 19>complicated that no one can misulace this right now.

638
00:40:06.760 --> 00:40:09.679
<v Speaker 1>Yeah, it's hard to visual just like literally it looks insane.

639
00:40:11.199 --> 00:40:13.920
<v Speaker 1>So I guess something like that's happening in our brains

640
00:40:14.039 --> 00:40:17.880
<v Speaker 1>while we drive around, which is pretty wild, So.

641
00:40:19.559 --> 00:40:27.960
<v Speaker 2>You know, I don't know. I think Tesla's doing good

642
00:40:28.000 --> 00:40:35.119
<v Speaker 2>things in AI. I don't know. This one stresses me out,

643
00:40:35.199 --> 00:40:36.320
<v Speaker 2>so I don't know what to think you should say

644
00:40:36.320 --> 00:40:39.199
<v Speaker 2>about it, you know.

645
00:40:42.119 --> 00:40:44.480
<v Speaker 5>Okay, given it's seven o'clock, I think that's all the

646
00:40:44.519 --> 00:40:47.199
<v Speaker 5>time we have. Thank you very much for coming and

647
00:40:48.280 --> 00:40:48.360
<v Speaker 5>se
