Latest / Elon Musk Podcast / Elon Musk Explains New Tesla Cybercab
Transcript
- 0:01Hey everybody, welcome back to the Elon Musk Podcast.
- 0:05This is a show where we discuss the critical crossroads, the
- 0:08Shape, SpaceX, Tesla X, The Boring Company, and Neurolink.
- 0:13I'm your host, Will Walden. I have always found this
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- 0:49Thank you so much. It's really, I was going to say
- 0:54doubling down on autonomy, but really it's like autonomy is
- 0:57like 10X thing. Frankly, doubling is not even
- 1:00enough. We made many critical
- 1:03investments in 2024 in manufacturing, AI and robotics
- 1:07that will bear immense fruit in the future.
- 1:11Immense. Like it's in fact to such a
- 1:14scale that it is difficult to comprehend.
- 1:18And I've said this before and I'll stand by it.
- 1:22I see a path. I'm not saying it's an easy
- 1:24path, but I see a path for Tesla being the most valuable company
- 1:27in the world by far, not even close.
- 1:29Like maybe several times more than I mean, there is a path
- 1:36where Tesla is worth more than the next top five companies
- 1:40combined. There's a path to that.
- 1:44I mean, I think it's like an incredibly, it's like a
- 1:47difficult path, but it is an achievable path.
- 1:52So and that is overwhelmingly due to autonomous vehicles and
- 1:59autonomous humanoid robots. So our focus is, is actually
- 2:06building towards that. And then that that's what we're
- 2:11laying the ground. We will lay the groundwork for
- 2:13that in 2024. We'll continue to lay the
- 2:15groundwork for that in 2025. In fact, more than lay the
- 2:18groundwork actually be building the structure be we're building
- 2:22the manufacturing lines. And like you know, I'd like
- 2:31setting up for what I think will be an epic 2026 and a ridiculous
- 2:3727 and 28 ridiculously good. That is my prediction.
- 2:48You know, we as you had very few, very few people understand
- 2:52the value of full self driving and our ability to monetize the
- 2:56fleet. You know, I've some of these
- 3:00things I've said for quite a long time and I don't know,
- 3:02people have said, well, you know, he wants the boy.
- 3:04You're cried wolf like several times, but I'm telling you
- 3:05there's a damn wolf at this time and you can drive it.
- 3:10In fact, it can drive you. It's a self driving wolf.
- 3:16You know, for a lot of people that they're like their
- 3:18experience of Tesla autonomy is like if it's even a year old, if
- 3:23it's even 2 years old, that it's like me.
- 3:25It's like meeting someone when they're like a toddler and
- 3:28thinking that they're going to be a toddler forever, but
- 3:31obviously not going to be a toddler forever if they grow up.
- 3:34But if their last experience was like, oh, FSD was a toddler,
- 3:38it's like, well, it's grown up now.
- 3:39Have you seen it? It's like walks and talks, and
- 3:44that's really what we've got. And it's difficult to for people
- 3:47to understand this because human intuition is linear as opposed
- 3:52to what we're seeing is exponential progress.
- 3:57So that's why my number one recommendation for anyone who
- 4:01doubts is simply try it. Have you tried it?
- 4:03When's the last time you tried it?
- 4:05And the only people who are skeptical, the only people who
- 4:09are skeptical are those who have not tried it.
- 4:14So you know, a car goes, a passenger car typically has only
- 4:19about 10 hours of utility per week out of 168, a very small
- 4:24percentage. Once that car is autonomous, my
- 4:28rough estimate is that it is it is in use for at least a third
- 4:32of the hours a week. So call it 5035 hours of the
- 4:36week and it can be used for both cargo delivery and people
- 4:41delivery. So even let's say people are
- 4:44asleep, but you can deliver packages in the middle of the
- 4:47night or resupply restaurants or whatever the case may be,
- 4:50whatever people need at all hours of the day or night.
- 4:56That same asset, the thing that that is these things that
- 4:59already exist with no incremental cost change, just a
- 5:03software update, now have five times or more of the utility
- 5:08that they currently have. I, I am, I, I think this will be
- 5:14the, the largest asset value increase in human history.
- 5:19Maybe there's something bigger, but I'm, I just don't know what
- 5:21it is. And so people who look in the
- 5:25rearview mirror are looking for past precedent, except I don't
- 5:30think there is one. So you know that there's there,
- 5:37but let the reality of autonomy is upon us.
- 5:40And I repeat my advice, try driving the car or let it drive
- 5:46you. So now it works very well in the
- 5:52US, but of course, it will over time work just as well
- 5:56everywhere else. Yeah.
- 6:05So we're working hard to grow our annual volumes, our
- 6:11constraint this year, our current constraint is battery
- 6:14packs this year, but we're working on addressing best
- 6:17constraint and I think we will make progress in addressing that
- 6:22constraint. And then things are really going
- 6:26to go ballistic next year and really ballistic in 27 and 28.
- 6:32So, yeah, so a bit more on full self driving.
- 6:41Our Q4 vehicle safety report shows continued year over year
- 6:44improvement in safety for vehicles so that the safety
- 6:47numbers, if somebody has supervised full self driving
- 6:51turned on or not, the safety differences are gigantic.
- 6:56So and people have seen the immense improvement with version
- 7:0313 and with incremental versions in version 13.
- 7:07And then version 14 is going to be yet another step beyond that.
- 7:10That is very significant. We launched the Cortex training
- 7:14cluster at Gigafactory Austin, which was a significant
- 7:18contributor to FSD advancement. And we continue to invest in
- 7:21training infrastructure out of Texas headquarters.
- 7:26So the training needs for optimists or optimists humanoid
- 7:30robot are probably at least ultimately 10X what what's
- 7:36needed for the car at least to get to the full range of of
- 7:41useful roles. I'm saying how many different
- 7:44roles are there for a humanoid robot versus a car?
- 7:48Humanoid robot is has probably what, 1000 times more uses and
- 7:56more complex things than in a car.
- 7:59That doesn't mean that the training scales by 1000, but
- 8:04it's probably, you know, 10X now you can do this progressively.
- 8:08So it doesn't mean like hotels are going to spend like $500
- 8:10billion in training compute because we would obviously train
- 8:16the optimist to do enough tasks to match the output of optimist
- 8:22robots. But, and obviously the cost of
- 8:27training is dropping dramatically with time.
- 8:30So, but it is, it is like it is one of those things where I
- 8:36think long term optimist will be optimist has the potential to be
- 8:40north of $10 trillion in revenue.
- 8:43Like it's really bananas. So then you can obviously afford
- 8:48a lot of training compute in that situation.
- 8:51In fact, even $500 billion training computing that
- 8:53situation would be quite a good deal.
- 8:59Yeah, the future is going to be incredibly different from the
- 9:04past, that's for sure. We live at this unbelievable
- 9:08infection point in human history.
- 9:11So yeah, so in the proof, the proof is in the pudding.
- 9:19So we're going to be launching unsupervised Full Self driving
- 9:25as a paid service in Austin in June.
- 9:30So if I've talked with the team, we feel confident in being able
- 9:37to do an initial launch of unsupervised no one in the car
- 9:42Full Self driving in Austin in June.
- 9:45We already have Tesla's operating autonomously
- 9:49unsupervised Full Self driving at our factory in Fremont and
- 9:53will soon be prepared during that factory in Texas.
- 9:58So thousands of cars every day are driving with no one in them
- 10:02at our Fremont factory in California.
- 10:06They will soon be doing that in Austin and then elsewhere in the
- 10:11world at the rest of our factories, which is pretty cool.
- 10:15And the cars aren't just driving to exactly the same spot because
- 10:20obviously it all when it collide at the same spot, the cars are
- 10:26actually programmed with. With where with what lane they
- 10:30need to park into to be picked up for delivery.
- 10:33So they, they, they drive from the factory end of line to
- 10:37their, to their destination parking spot and and the and the
- 10:43to be picked up for delivery to customers.
- 10:49And then doing this reliably every day, thousands of times a
- 10:52day. That's pretty cool.
- 10:57Like I said, these Teslas will be in the wild.
- 11:00There's no one in them in June in Austin.
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