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Chris Anderson: Elon,
hey, welcome back to TED.

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It's great to have you here.
Elon Musk: Thanks for having me.

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CA: So, in the next half hour or so,
we're going to spend some time

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exploring your vision for what
an exciting future might look like,

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which I guess makes the first question
a little ironic: Why are you boring?

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EM: Yeah. I ask myself that frequently.

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We're trying to dig a hole under LA,

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and this is to create the beginning

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of what will hopefully
be a 3D network of tunnels

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to alleviate congestion.

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So right now, one of the most
soul-destroying things is traffic.

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It affects people
in every part of the world.

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It takes away so much of your life.

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It's horrible.
It's particularly horrible in LA.

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(Laughter) CA: I think
you've brought with you

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the first visualization
that's been shown of this.

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Can I show this? EM: Yeah, absolutely.
So this is the first time --

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Just to show what we're talking about.

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So a couple of key things that are
important in having a 3D tunnel network.

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First of all, you have to be able

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to integrate the entrance
and exit of the tunnel

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seamlessly into the fabric of the city.

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So by having an elevator,

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sort of a car skate,
that's on an elevator,

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you can integrate the entrance
and exits to the tunnel network

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just by using two parking spaces.

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And then the car gets on a skate.

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There's no speed limit here,

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so we're designing this to be able
to operate at 200 kilometers an hour.

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CA: How much? EM: 200 kilometers
an hour, or about 130 miles per hour.

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So you should be able to get
from, say, Westwood to LAX

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in six minutes -- five, six minutes.

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(Applause) CA:
So possibly, initially done,

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it's like on a sort
of toll road-type basis.

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EM: Yeah. CA: Which, I guess,
alleviates some traffic

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from the surface streets as well.

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EM: So, I don't know if
people noticed it in the video,

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but there's no real limit to how
many levels of tunnel you can have.

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You can go much further
deep than you can go up.

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The deepest mines are much deeper
than the tallest buildings are tall,

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so you can alleviate any
arbitrary level of urban congestion

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with a 3D tunnel network.
This is a very important point.

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So a key rebuttal to the tunnels
is that if you add one layer of tunnels,

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that will simply alleviate
congestion, it will get used up,

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and then you'll be back where
you started, back with congestion.

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But you can go to any arbitrary number
of tunnels, any number of levels.

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CA: But people -- seen traditionally,
it's incredibly expensive to dig,

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and that would block this idea.

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EM: Yeah. Well, they're right.

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To give you an example,
the LA subway extension,

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which is -- I think it's
a two-and-a-half mile extension

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that was just completed
for two billion dollars.

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So it's roughly a billion dollars
a mile to do the subway extension in LA.

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And this is not the highest
utility subway in the world.

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So yeah, it's quite difficult
to dig tunnels normally.

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I think we need to have
at least a tenfold improvement

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in the cost per mile of tunneling.

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CA: And how could you achieve that?

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EM: Actually, if you just do two things,

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you can get to approximately
an order of magnitude improvement,

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and I think you can go beyond that.

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So the first thing to do
is to cut the tunnel diameter

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by a factor of two or more. So a single
road lane tunnel according to regulations

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has to be 26 feet,
maybe 28 feet in diameter

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to allow for crashes
and emergency vehicles

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and sufficient ventilation
for combustion engine cars.

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But if you shrink that diameter
to what we're attempting,

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which is 12 feet, which is plenty
to get an electric skate through,

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you drop the diameter by a factor of two

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and the cross-sectional
area by a factor of four,

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and the tunneling cost scales
with the cross-sectional area.

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So that's roughly a half-order
of magnitude improvement right there.

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Then tunneling machines currently
tunnel for half the time, then they stop,

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and then the rest of the time is putting
in reinforcements for the tunnel wall.

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So if you design the machine instead to do
continuous tunneling and reinforcing,

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that will give you
a factor of two improvement.

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Combine that and that's a factor of eight.

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Also these machines are far from being
at their power or thermal limits,

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so you can jack up the power
to the machine substantially.

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I think you can get
at least a factor of two,

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maybe a factor of four or five
improvement on top of that.

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So I think there's a fairly
straightforward series of steps

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to get somewhere in excess
of an order of magnitude improvement

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in the cost per mile,
and our target actually is --

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we've got a pet snail called Gary, this
is from Gary the snail from "South Park,"

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I mean, sorry, "SpongeBob SquarePants."

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(Laughter) So Gary is capable of --

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currently he's capable of going 14 times
faster than a tunnel-boring machine.

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(Laughter) CA: You want to beat Gary.

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EM: We want to beat Gary. (Laughter)
He's not a patient little fellow,

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and that will be victory.
Victory is beating the snail.

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CA: But a lot of people imagining,
dreaming about future cities,

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they imagine that actually the solution
is flying cars, drones, etc.

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You go aboveground.
Why isn't that a better solution?

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You save all that tunneling cost.

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EM: Right. I'm in favor of flying things.

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Obviously, I do rockets,
so I like things that fly.

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This is not some inherent
bias against flying things,

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but there is a challenge with flying
cars in that they'll be quite noisy,

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the wind force generated
will be very high.

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Let's just say that if
something's flying over your head,

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a whole bunch of flying cars
going all over the place,

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that is not an anxiety-reducing situation.

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(Laughter)

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You don't think to yourself,
"Well, I feel better about today."

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You're thinking,
"Did they service their hubcap,

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or is it going to come
off and guillotine me?"

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Things like that.

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CA: So you've got this vision

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of future cities with these rich,
3D networks of tunnels underneath.

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Is there a tie-in here with Hyperloop?

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Could you apply these tunnels
to use for this Hyperloop idea

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you released a few years ago.

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EM: Yeah, so we've been
sort of puttering around

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with the Hyperloop stuff for a while.

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We built a Hyperloop test track adjacent
to SpaceX, just for a student competition,

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to encourage innovative
ideas in transport.

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And it actually ends up being
the biggest vacuum chamber in the world

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after the Large Hadron Collider,

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by volume.

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So it was quite fun to do that,
but it was kind of a hobby thing,

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and then we think we might --

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so we've built a little pusher
car to push the student pods,

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but we're going to try seeing
how fast we can make the pusher go

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if it's not pushing something.

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So we're cautiously optimistic

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we'll be able to be faster than
the world's fastest bullet train

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even in a.8-mile stretch.
CA: Whoa. Good brakes.

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EM: Yeah, I mean, it's -- yeah.

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It's either going to smash into
tiny pieces or go quite fast.

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CA: But you can picture, then, a Hyperloop
in a tunnel running quite long distances.

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EM: Exactly. And looking
at tunneling technology,

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it turns out that in order
to make a tunnel, you have to --

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In order to seal against the water table,

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you've got to typically
design a tunnel wall to be good

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to about five or six atmospheres.

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So to go to vacuum is only
one atmosphere, or near-vacuum.

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So actually, it sort of turns
out that automatically,

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if you build a tunnel that is good
enough to resist the water table,

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it is automatically
capable of holding vacuum.

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CA: Huh. EM: So, yeah. CA:
And so you could actually picture,

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what kind of length tunnel is in
Elon's future to running Hyperloop?

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EM: I think there's no real length limit.

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You could dig as much as you want.

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I think if you were to do something

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like a DC-to-New York Hyperloop,

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I think you'd probably want
to go underground the entire way

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because it's a high-density area.

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You're going under a lot of buildings
and houses, and if you go deep enough,

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you cannot detect the tunnel.

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Sometimes people think, well,
it's going to be pretty annoying

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to have a tunnel dug under my house.

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Like, if that tunnel is dug

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more than about three or four
tunnel diameters beneath your house,

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you will not be able
to detect it being dug at all.

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In fact, if you're able
to detect the tunnel being dug,

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whatever device you are using,

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you can get a lot of money for that
device from the Israeli military,

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who is trying to detect
tunnels from Hamas,

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and from the US Customs and Border
patrol that try and detect drug tunnels.

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So the reality is

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that earth is incredibly
good at absorbing vibrations,

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and once the tunnel depth is below
a certain level, it is undetectable.

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Maybe if you have a very
sensitive seismic instrument,

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you might be able to detect it.

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CA: So you've started a new company
to do this called The Boring Company.

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Very nice. Very funny.
(Laughter) EM: What's funny about that?

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(Laughter) CA: How much
of your time is this?

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EM: It's maybe...

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two or three percent. CA:
You've called it a hobby.

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This is what an Elon
Musk hobby looks like.

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(Laughter) EM: I mean,
it really is, like --

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This is basically interns
and people doing it part time.

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We bought some second-hand machinery.

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It's kind of puttering along,
but it's making good progress, so --

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CA: So an even bigger part of your time

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is being spent on electrifying
cars and transport through Tesla.

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Is one of the motivations
for the tunneling project

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the realization that actually,

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in a world where cars are electric
and where they're self-driving,

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there may end up being
more cars on the roads

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on any given hour than there are now?

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EM: Yeah, exactly.

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A lot of people think that when
you make cars autonomous,

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they'll be able to go faster
and that will alleviate congestion.

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And to some degree that will be true,

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but once you have shared autonomy
where it's much cheaper to go by car

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and you can go point to point,

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the affordability of going in a car
will be better than that of a bus.

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Like, it will cost less than a bus ticket.

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So the amount of driving that will occur
will be much greater with shared autonomy,

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and actually traffic will get far worse.

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CA: You started Tesla with the
goal of persuading the world

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that electrification
was the future of cars,

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and a few years ago,
people were laughing at you.

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Now, not so much. EM: OK. (Laughter)

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I don't know. I don't know.

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CA: But isn't it true that pretty
much every auto manufacturer

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has announced serious
electrification plans

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for the short- to medium-term future?

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EM: Yeah. Yeah.

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I think almost every automaker
has some electric vehicle program.

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They vary in seriousness.

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Some are very serious about
transitioning entirely to electric,

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and some are just dabbling in it.

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And some, amazingly,
are still pursuing fuel cells,

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but I think that won't last much longer.

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CA: But isn't there a sense, though, Elon,

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where you can now just declare
victory and say, you know, "We did it."

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Let the world electrify, and you
go on and focus on other stuff?

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EM: Yeah.

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I intend to stay with Tesla as far
into the future as I can imagine,

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and there are a lot of exciting
things that we have coming.

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Obviously the Model 3 is coming soon.

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We'll be unveiling the Tesla Semi truck.

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CA: OK, we're going to come to this.

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So Model 3, it's supposed
to be coming in July-ish.

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EM: Yeah, it's looking quite good
for starting production in July.

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CA: Wow. One of the things
that people are so excited about

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is the fact that it's got autopilot.

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And you put out this video a while back

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showing what that technology
would look like.

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EM: Yeah. CA: There's obviously
autopilot in Model S right now.

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What are we seeing here?

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EM: Yeah, so this is using
only cameras and GPS.

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So there's no LIDAR
or radar being used here.

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This is just using passive optical,
which is essentially what a person uses.

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The whole road system
is meant to be navigated

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with passive optical, or cameras,

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and so once you solve cameras or vision,

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then autonomy is solved. If you
don't solve vision, it's not solved.

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So that's why our focus is so
heavily on having a vision neural net

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00:14:40,160 --> 00:14:43,317
that's very effective for road conditions.

234
00:14:43,400 --> 00:14:45,957
CA: Right. Many other people
are going the LIDAR route.

235
00:14:46,040 --> 00:14:48,837
You want cameras plus radar is most of it.

236
00:14:48,920 --> 00:14:52,237
EM: You can absolutely be
superhuman with just cameras.

237
00:14:52,320 --> 00:14:56,557
Like, you can probably do it ten times
better than humans would, just cameras.

238
00:14:56,640 --> 00:15:01,037
CA: So the new cars being sold
right now have eight cameras in them.

239
00:15:01,120 --> 00:15:05,397
They can't yet do what that showed.

240
00:15:05,480 --> 00:15:07,120
When will they be able to?

241
00:15:08,440 --> 00:15:14,117
EM: I think we're still on track
for being able to go cross-country

242
00:15:14,200 --> 00:15:18,317
from LA to New York by the end
of the year, fully autonomous.

243
00:15:18,400 --> 00:15:22,117
CA: OK, so by the end
of the year, you're saying,

244
00:15:22,200 --> 00:15:26,117
someone's going to sit in a Tesla
without touching the steering wheel,

245
00:15:26,200 --> 00:15:28,637
tap in "New York," off it goes.

246
00:15:28,720 --> 00:15:33,160
EM: Yeah. CA: Won't ever have to touch
the wheel -- by the end of 2017.

247
00:15:34,280 --> 00:15:38,837
EM: Yeah. Essentially,
November or December of this year,

248
00:15:38,920 --> 00:15:43,277
we should be able to go all the way
from a parking lot in California

249
00:15:43,360 --> 00:15:44,957
to a parking lot in New York,

250
00:15:45,040 --> 00:15:47,990
no controls touched at any
point during the entire journey.

251
00:15:48,800 --> 00:15:53,437
(Applause) CA: Amazing.
But part of that is possible

252
00:15:53,520 --> 00:15:56,877
because you've already got a fleet
of Teslas driving all these roads.

253
00:15:56,960 --> 00:16:01,760
You're accumulating a huge amount
of data of that national road system.

254
00:16:03,440 --> 00:16:06,037
EM: Yes, but the thing
that will be interesting

255
00:16:06,120 --> 00:16:11,200
is that I'm actually fairly confident
it will be able to do that route

256
00:16:12,960 --> 00:16:16,200
even if you change the route dynamically.

257
00:16:16,840 --> 00:16:19,240
So, it's fairly easy --

258
00:16:20,040 --> 00:16:23,717
If you say I'm going to be really good
at one specific route, that's one thing,

259
00:16:23,800 --> 00:16:28,877
but it should be able to go,
really be very good,

260
00:16:28,960 --> 00:16:33,437
certainly once you enter a highway,
to go anywhere on the highway system

261
00:16:33,520 --> 00:16:34,760
in a given country.

262
00:16:36,040 --> 00:16:38,277
So it's not sort of limited
to LA to New York.

263
00:16:38,360 --> 00:16:44,317
We could change it and make it
Seattle-Florida, that day, in real time.

264
00:16:44,400 --> 00:16:46,477
So you were going from LA to New York.

265
00:16:46,560 --> 00:16:49,280
Now go from LA to Toronto.

266
00:16:50,320 --> 00:16:55,797
CA: So leaving aside regulation for a
second, in terms of the technology alone,

267
00:16:55,880 --> 00:16:59,637
the time when someone will be
able to buy one of your cars

268
00:16:59,720 --> 00:17:03,477
and literally just take the hands
off the wheel and go to sleep

269
00:17:03,560 --> 00:17:07,517
and wake up and find that they've arrived,
how far away is that, to do that safely?

270
00:17:07,600 --> 00:17:09,797
EM: I think that's about two years.

271
00:17:09,880 --> 00:17:16,157
So the real trick of it is not how do you
make it work say 99.9 percent of the time,

272
00:17:16,240 --> 00:17:20,277
because, like, if a car
crashes one in a thousand times,

273
00:17:20,360 --> 00:17:24,340
then you're probably still not going
to be comfortable falling asleep.

274
00:17:27,520 --> 00:17:30,540
You shouldn't be, certainly. (Laughter)

275
00:17:32,040 --> 00:17:34,877
It's never going to be perfect.

276
00:17:34,960 --> 00:17:38,320
No system is going to be perfect,
but if you say it's perhaps --

277
00:17:40,520 --> 00:17:46,357
the car is unlikely to crash in a hundred
lifetimes, or a thousand lifetimes,

278
00:17:46,440 --> 00:17:50,277
then people are like, OK, wow,
if I were to live a thousand lives,

279
00:17:50,360 --> 00:17:54,317
I would still most likely never experience
a crash, then that's probably OK.

280
00:17:54,400 --> 00:17:58,437
CA: To sleep. I guess the big concern
of yours is that people may actually

281
00:17:58,520 --> 00:18:00,747
get seduced too early
to think that this is safe,

282
00:18:00,830 --> 00:18:05,317
and that you'll have some horrible
incident happen that puts things back.

283
00:18:05,400 --> 00:18:11,357
EM: Well, I think that the autonomy system
is likely to at least mitigate the crash,

284
00:18:11,440 --> 00:18:12,920
except in rare circumstances.

285
00:18:14,280 --> 00:18:20,000
The thing to appreciate about vehicle
safety is this is probabilistic.

286
00:18:20,920 --> 00:18:24,317
I mean, there's some chance that any
time a human driver gets in a car,

287
00:18:24,400 --> 00:18:27,277
that they will have
an accident that is their fault.

288
00:18:27,360 --> 00:18:28,680
It's never zero.

289
00:18:29,440 --> 00:18:33,757
So really the key threshold for autonomy

290
00:18:33,840 --> 00:18:38,197
is how much better does
autonomy need to be than a person

291
00:18:38,280 --> 00:18:43,037
before you can rely on it? CA: But once
you get literally safe hands-off driving,

292
00:18:43,120 --> 00:18:45,877
the power to disrupt the whole
industry seems massive,

293
00:18:45,960 --> 00:18:50,277
because at that point you've spoken
of people being able to buy a car,

294
00:18:50,360 --> 00:18:52,437
drops you off at work,
and then you let it go

295
00:18:52,520 --> 00:18:57,677
and provide a sort of Uber-like
service to other people, earn you money,

296
00:18:57,760 --> 00:19:00,157
maybe even cover the cost
of your lease of that car,

297
00:19:00,240 --> 00:19:02,037
so you can kind of get a car for free.

298
00:19:02,120 --> 00:19:06,197
Is that really likely? EM: Yeah.
Absolutely this is what will happen.

299
00:19:06,280 --> 00:19:09,477
So there will be a shared autonomy
fleet where you buy your car

300
00:19:09,560 --> 00:19:12,917
and you can choose to use
that car exclusively,

301
00:19:13,000 --> 00:19:16,637
you could choose to have it be
used only by friends and family,

302
00:19:16,720 --> 00:19:21,717
only by other drivers
who are rated five star,

303
00:19:21,800 --> 00:19:26,680
you can choose to share it
sometimes but not other times.

304
00:19:28,120 --> 00:19:31,357
That's 100 percent what will occur.

305
00:19:31,440 --> 00:19:32,890
It's just a question of when.

306
00:19:33,960 --> 00:19:37,357
CA: Wow. So you mentioned the Semi

307
00:19:37,440 --> 00:19:40,117
and I think you're planning
to announce this in September,

308
00:19:40,200 --> 00:19:43,237
but I'm curious whether there's
anything you could show us today?

309
00:19:43,320 --> 00:19:47,117
EM: I will show you
a teaser shot of the truck.

310
00:19:47,200 --> 00:19:52,837
(Laughter) It's alive. CA: OK.

311
00:19:52,920 --> 00:19:55,557
EM: That's definitely a case
where we want to be cautious

312
00:19:55,640 --> 00:19:57,040
about the autonomy features.

313
00:19:58,360 --> 00:20:02,797
Yeah. (Laughter) CA:
We can't see that much of it,

314
00:20:02,880 --> 00:20:06,037
but it doesn't look like just
a little friendly neighborhood truck.

315
00:20:06,120 --> 00:20:10,560
It looks kind of badass.
What sort of semi is this?

316
00:20:11,160 --> 00:20:15,677
EM: So this is a heavy duty,
long-range semitruck.

317
00:20:15,760 --> 00:20:19,957
So it's the highest weight capability

318
00:20:20,040 --> 00:20:23,037
and with long range.

319
00:20:23,120 --> 00:20:28,560
So essentially it's meant to alleviate
the heavy-duty trucking loads.

320
00:20:29,280 --> 00:20:34,517
And this is something which people
do not today think is possible.

321
00:20:34,600 --> 00:20:38,277
They think the truck doesn't have enough
power or it doesn't have enough range,

322
00:20:38,360 --> 00:20:43,517
and then with the Tesla Semi we want
to show that no, an electric truck

323
00:20:43,600 --> 00:20:49,557
actually can out-torque any diesel semi.

324
00:20:49,640 --> 00:20:53,717
And if you had a tug-of-war competition,

325
00:20:53,800 --> 00:20:58,797
the Tesla Semi will tug
the diesel semi uphill.

326
00:20:58,880 --> 00:21:02,957
(Laughter) (Applause)

327
00:21:03,040 --> 00:21:05,997
CA: That's pretty cool.
And short term, these aren't driverless.

328
00:21:06,080 --> 00:21:09,400
These are going to be trucks
that truck drivers want to drive.

329
00:21:10,480 --> 00:21:13,037
EM: Yes. So what will
be really fun about this

330
00:21:13,120 --> 00:21:18,437
is you have a flat torque RPM
curve with an electric motor,

331
00:21:18,520 --> 00:21:21,957
whereas with a diesel motor or any
kind of internal combustion engine car,

332
00:21:22,040 --> 00:21:24,690
you've got a torque RPM
curve that looks like a hill.

333
00:21:25,840 --> 00:21:28,717
So this will be a very spry truck.

334
00:21:28,800 --> 00:21:31,597
You can drive this around
like a sports car.

335
00:21:31,680 --> 00:21:33,997
There's no gears.
It's, like, single speed.

336
00:21:34,080 --> 00:21:36,477
CA: There's a great movie
to be made here somewhere.

337
00:21:36,560 --> 00:21:40,517
I don't know what it is and I don't know
that it ends well, but it's a great movie.

338
00:21:40,600 --> 00:21:44,317
(Laughter) EM: It's quite
bizarre test-driving.

339
00:21:44,400 --> 00:21:48,357
When I was driving the test
prototype for the first truck.

340
00:21:48,440 --> 00:21:50,637
It's really weird,
because you're driving around

341
00:21:50,720 --> 00:21:53,757
and you're just so nimble,
and you're in this giant truck.

342
00:21:53,840 --> 00:21:57,277
CA: Wait, you've already
driven a prototype?

343
00:21:57,360 --> 00:22:00,877
EM: Yeah, I drove it around the parking
lot, and I was like, this is crazy.

344
00:22:00,960 --> 00:22:03,077
CA: Wow. This is no vaporware.

345
00:22:03,160 --> 00:22:07,197
EM: It's just like, driving this giant
truck and making these mad maneuvers.

346
00:22:07,280 --> 00:22:12,317
CA: This is cool. OK, from a really badass
picture to a kind of less badass picture.

347
00:22:12,400 --> 00:22:15,677
This is just a cute house from
"Desperate Housewives" or something.

348
00:22:15,760 --> 00:22:18,757
What on earth is going on here?

349
00:22:18,840 --> 00:22:21,237
EM: Well, this illustrates
the picture of the future

350
00:22:21,320 --> 00:22:24,237
that I think is how things will evolve.

351
00:22:24,320 --> 00:22:26,597
You've got an electric
car in the driveway.

352
00:22:26,680 --> 00:22:30,357
If you look in between
the electric car and the house,

353
00:22:30,440 --> 00:22:34,237
there are actually three Powerwalls
stacked up against the side of the house,

354
00:22:34,320 --> 00:22:37,077
and then that house roof is a solar roof.

355
00:22:37,160 --> 00:22:39,197
So that's an actual solar glass roof.

356
00:22:39,280 --> 00:22:44,717
CA: OK. EM: That's a picture of a real --
well, admittedly, it's a real fake house.

357
00:22:44,800 --> 00:22:51,397
That's a real fake house.
(Laughter) CA: So these roof tiles,

358
00:22:51,480 --> 00:22:57,557
some of them have in them basically
solar power, the ability to --

359
00:22:57,640 --> 00:23:04,397
EM: Yeah. Solar glass tiles where you
can adjust the texture and the color

360
00:23:04,480 --> 00:23:06,397
to a very fine-grained level,

361
00:23:06,480 --> 00:23:11,997
and then there's sort
of microlouvers in the glass,

362
00:23:12,080 --> 00:23:15,477
such that when you're looking
at the roof from street level

363
00:23:15,560 --> 00:23:19,597
or close to street level,
all the tiles look the same

364
00:23:19,680 --> 00:23:24,760
whether there is a solar
cell behind it or not.

365
00:23:26,000 --> 00:23:32,877
So you have an even color
from the ground level.

366
00:23:32,960 --> 00:23:34,997
If you were to look
at it from a helicopter,

367
00:23:35,080 --> 00:23:37,397
you would be actually able
to look through and see

368
00:23:37,480 --> 00:23:41,437
that some of the glass tiles have
a solar cell behind them and some do not.

369
00:23:41,520 --> 00:23:43,077
You can't tell from street level.

370
00:23:43,160 --> 00:23:46,157
CA: You put them in the ones
that are likely to see a lot of sun,

371
00:23:46,240 --> 00:23:48,557
and that makes these roofs
super affordable, right?

372
00:23:48,640 --> 00:23:51,557
They're not that much more
expensive than just tiling the roof.

373
00:23:51,640 --> 00:23:52,840
EM: Yeah.

374
00:23:53,840 --> 00:23:56,440
We're very confident
that the cost of the roof

375
00:23:57,840 --> 00:23:59,760
plus the cost of electricity --

376
00:24:01,920 --> 00:24:04,797
A solar glass roof will be less
than the cost of a normal roof

377
00:24:04,880 --> 00:24:07,517
plus the cost of electricity.
So in other words,

378
00:24:07,600 --> 00:24:13,597
this will be economically a no-brainer,
we think it will look great,

379
00:24:13,680 --> 00:24:18,837
and it will last -- We thought about
having the warranty be infinity,

380
00:24:18,920 --> 00:24:22,677
but then people thought, well, that might
sound like were just talking rubbish,

381
00:24:22,760 --> 00:24:28,317
but actually this is toughened glass.

382
00:24:28,400 --> 00:24:33,157
Well after the house has collapsed
and there's nothing there,

383
00:24:33,240 --> 00:24:36,717
the glass tiles will still be there.

384
00:24:36,800 --> 00:24:40,077
(Applause) CA: I mean, this is cool.

385
00:24:40,160 --> 00:24:42,957
So you're rolling this out
in a couple week's time, I think,

386
00:24:43,040 --> 00:24:45,517
with four different roofing types.

387
00:24:45,600 --> 00:24:48,077
EM: Yeah, we're starting
off with two, two initially,

388
00:24:48,160 --> 00:24:51,277
and the second two will be
introduced early next year.

389
00:24:51,360 --> 00:24:53,357
CA: And what's the scale of ambition here?

390
00:24:53,440 --> 00:24:58,960
How many houses do you believe could
end up having this type of roofing?

391
00:24:59,760 --> 00:25:01,160
EM: I think eventually

392
00:25:02,560 --> 00:25:06,200
almost all houses will have a solar roof.

393
00:25:07,880 --> 00:25:13,837
The thing is to consider the time
scale here to be probably on the order

394
00:25:13,920 --> 00:25:17,037
of 40 or 50 years.

395
00:25:17,120 --> 00:25:22,000
So on average, a roof
is replaced every 20 to 25 years.

396
00:25:23,400 --> 00:25:26,677
But you don't start replacing
all roofs immediately.

397
00:25:26,760 --> 00:25:33,517
But eventually, if you say were
to fast-forward to say 15 years from now,

398
00:25:33,600 --> 00:25:37,200
it will be unusual to have
a roof that does not have solar.

399
00:25:37,840 --> 00:25:40,637
CA: Is there a mental model
thing that people don't get here

400
00:25:40,720 --> 00:25:45,077
that because of the shift in the cost,
the economics of solar power,

401
00:25:45,160 --> 00:25:49,197
most houses actually have
enough sunlight on their roof

402
00:25:49,280 --> 00:25:51,277
pretty much to power all of their needs.

403
00:25:51,360 --> 00:25:55,277
If you could capture the power, it
could pretty much power all their needs.

404
00:25:55,360 --> 00:25:56,837
You could go off-grid, kind of.

405
00:25:56,920 --> 00:25:58,397
EM: It depends on where you are

406
00:25:58,480 --> 00:26:01,677
and what the house size
is relative to the roof area,

407
00:26:01,760 --> 00:26:08,397
but it's a fair statement to say that most
houses in the US have enough roof area

408
00:26:08,480 --> 00:26:10,440
to power all the needs of the house.

409
00:26:11,800 --> 00:26:14,917
CA: So the key to the economics

410
00:26:15,000 --> 00:26:18,957
of the cars, the Semi, of these houses

411
00:26:19,040 --> 00:26:22,877
is the falling price
of lithium-ion batteries,

412
00:26:22,960 --> 00:26:25,397
which you've made a huge bet on as Tesla.

413
00:26:25,480 --> 00:26:27,677
In many ways, that's
almost the core competency.

414
00:26:27,760 --> 00:26:29,957
And you've decided

415
00:26:30,040 --> 00:26:35,197
that to really, like, own that competency,

416
00:26:35,280 --> 00:26:38,677
you just have to build the world's
largest manufacturing plant

417
00:26:38,760 --> 00:26:41,837
to double the world's supply
of lithium-ion batteries,

418
00:26:41,920 --> 00:26:47,637
with this guy. What is this? EM:
Yeah, so that's the Gigafactory,

419
00:26:47,720 --> 00:26:50,357
progress so far on the Gigafactory.

420
00:26:50,440 --> 00:26:52,277
Eventually, you can sort of roughly see

421
00:26:52,360 --> 00:26:55,237
that there's sort of a
diamond shape overall,

422
00:26:55,320 --> 00:26:59,877
and when it's fully done,
it'll look like a giant diamond,

423
00:26:59,960 --> 00:27:03,637
or that's the idea behind it,
and it's aligned on true north.

424
00:27:03,720 --> 00:27:09,317
It's a small detail. CA:
And capable of producing, eventually,

425
00:27:09,400 --> 00:27:12,517
like a hundred gigawatt
hours of batteries a year.

426
00:27:12,600 --> 00:27:15,517
EM: A hundred gigawatt hours.
We think probably more, but yeah.

427
00:27:15,600 --> 00:27:17,917
CA: And they're actually
being produced right now.

428
00:27:18,000 --> 00:27:21,117
EM: They're in production already.
CA: You guys put out this video.

429
00:27:21,200 --> 00:27:24,197
I mean, is that speeded up? EM:
That's the slowed down version.

430
00:27:24,280 --> 00:27:28,357
(Laughter) CA:
How fast does it actually go?

431
00:27:28,440 --> 00:27:31,197
EM: Well, when it's running at full speed,

432
00:27:31,280 --> 00:27:35,157
you can't actually see
the cells without a strobe light.

433
00:27:35,240 --> 00:27:39,880
It's just blur. (Laughter)

434
00:27:40,000 --> 00:27:43,517
CA: One of your core ideas, Elon,
about what makes an exciting future

435
00:27:43,600 --> 00:27:46,400
is a future where we no longer
feel guilty about energy.

436
00:27:47,480 --> 00:27:48,837
Help us picture this.

437
00:27:48,920 --> 00:27:53,877
How many Gigafactories, if you like,
does it take to get us there?

438
00:27:53,960 --> 00:27:55,637
EM: It's about a hundred, roughly.

439
00:27:55,720 --> 00:27:57,397
It's not 10, it's not a thousand.

440
00:27:57,480 --> 00:27:58,840
Most likely a hundred.

441
00:28:00,040 --> 00:28:05,637
CA: See, I find this amazing.
You can picture what it would take

442
00:28:05,720 --> 00:28:08,917
to move the world off
this vast fossil fuel thing.

443
00:28:09,000 --> 00:28:14,397
It's like you're building one,
it costs five billion dollars,

444
00:28:14,480 --> 00:28:16,557
or whatever, five to 10 billion dollars.

445
00:28:16,640 --> 00:28:20,197
Like, it's kind of cool that
you can picture that project.

446
00:28:20,280 --> 00:28:24,760
And you're planning to do, at Tesla
-- announce another two this year.

447
00:28:25,480 --> 00:28:28,277
EM: I think we'll announce locations

448
00:28:28,360 --> 00:28:32,037
for somewhere between two and four
Gigafactories later this year.

449
00:28:32,120 --> 00:28:35,597
Yeah, probably four. CA: Whoa.

450
00:28:35,680 --> 00:28:42,317
(Applause) No more
teasing from you for here?

451
00:28:42,400 --> 00:28:45,200
Like -- where, continent?

452
00:28:47,480 --> 00:28:48,680
You can say no.

453
00:28:49,440 --> 00:28:53,157
EM: We need to address a global market.

454
00:28:53,240 --> 00:28:57,040
CA: OK. (Laughter) This is cool.

455
00:28:59,480 --> 00:29:03,720
I think we should talk for --

456
00:29:04,560 --> 00:29:10,237
Actually, global market. I'm going to ask
you one question about politics, only one.

457
00:29:10,320 --> 00:29:13,517
I'm kind of sick of politics,
but I do want to ask you this.

458
00:29:13,600 --> 00:29:19,877
You're on a body now
giving advice to a guy --

459
00:29:19,960 --> 00:29:24,037
EM: Who? CA: Who has said he doesn't
really believe in climate change,

460
00:29:24,120 --> 00:29:28,397
and there's a lot of people out there
who think you shouldn't be doing that.

461
00:29:28,480 --> 00:29:30,317
They'd like you to walk away from that.

462
00:29:30,400 --> 00:29:31,760
What would you say to them?

463
00:29:32,720 --> 00:29:38,837
EM: Well, I think that first of all,
I'm just on two advisory councils

464
00:29:38,920 --> 00:29:41,677
where the format consists
of going around the room

465
00:29:41,760 --> 00:29:44,597
and asking people's opinion on things,

466
00:29:44,680 --> 00:29:48,440
and so there's like
a meeting every month or two.

467
00:29:49,560 --> 00:29:52,717
That's the sum total of my contribution.

468
00:29:52,800 --> 00:29:55,517
But I think to the degree
that there are people in the room

469
00:29:55,600 --> 00:30:00,277
who are arguing in favor of doing
something about climate change,

470
00:30:00,360 --> 00:30:04,360
or social issues,

471
00:30:06,520 --> 00:30:09,677
I've used the meetings I've had thus far

472
00:30:09,760 --> 00:30:14,557
to argue in favor of immigration
and in favor of climate change.

473
00:30:14,640 --> 00:30:21,477
(Applause) And if I hadn't done that,
that wasn't on the agenda before.

474
00:30:21,560 --> 00:30:25,800
So maybe nothing will happen,
but at least the words were said.

475
00:30:26,680 --> 00:30:30,800
CA: OK. (Applause)

476
00:30:31,800 --> 00:30:35,277
So let's talk SpaceX and Mars.

477
00:30:35,360 --> 00:30:36,757
Last time you were here,

478
00:30:36,840 --> 00:30:40,477
you spoke about what seemed like
a kind of incredibly ambitious dream

479
00:30:40,560 --> 00:30:44,797
to develop rockets that
were actually reusable.

480
00:30:44,880 --> 00:30:46,957
And you've only gone and done it.

481
00:30:47,040 --> 00:30:48,597
EM: Finally. It took a long time.

482
00:30:48,680 --> 00:30:51,197
CA: Talk us through this.
What are we looking at here?

483
00:30:51,280 --> 00:30:53,357
EM: So this is one of our rocket boosters

484
00:30:53,440 --> 00:30:57,957
coming back from very
high and fast in space.

485
00:30:58,040 --> 00:31:03,357
So just delivered the upper
stage at high velocity.

486
00:31:03,440 --> 00:31:09,280
I think this might have been at sort of
Mach 7 or so, delivery of the upper stage.

487
00:31:10,880 --> 00:31:12,880
(Applause)

488
00:31:13,840 --> 00:31:17,117
CA: So that was a sped-up -- EM:
That was the slowed down version.

489
00:31:17,200 --> 00:31:20,997
(Laughter) CA: I thought
that was the sped-up version.

490
00:31:21,080 --> 00:31:23,717
But I mean, that's amazing,
and several of these failed

491
00:31:23,800 --> 00:31:26,677
before you finally
figured out how to do it,

492
00:31:26,760 --> 00:31:29,597
but now you've done this,
what, five or six times?

493
00:31:29,680 --> 00:31:33,557
EM: We're at eight or nine.
CA: And for the first time,

494
00:31:33,640 --> 00:31:36,717
you've actually reflown one
of the rockets that landed.

495
00:31:36,800 --> 00:31:39,517
EM: Yeah, so we landed the rocket booster

496
00:31:39,600 --> 00:31:42,157
and then prepped it for flight
again and flew it again,

497
00:31:42,240 --> 00:31:47,357
so it's the first reflight
of an orbital booster

498
00:31:47,440 --> 00:31:49,357
where that reflight is relevant.

499
00:31:49,440 --> 00:31:52,557
So it's important to appreciate
that reusability is only relevant

500
00:31:52,640 --> 00:31:56,720
if it is rapid and complete.

501
00:31:57,400 --> 00:32:02,997
So like an aircraft or a car,
the reusability is rapid and complete.

502
00:32:03,080 --> 00:32:08,077
You do not send your aircraft
to Boeing in-between flights.

503
00:32:08,160 --> 00:32:12,917
CA: Right. So this is allowing you
to dream of this really ambitious idea

504
00:32:13,000 --> 00:32:18,557
of sending many, many, many people to Mars
in, what, 10 or 20 years time, I guess.

505
00:32:18,640 --> 00:32:23,397
EM: Yeah. CA: And you've designed
this outrageous rocket to do it.

506
00:32:23,480 --> 00:32:25,837
Help us understand
the scale of this thing.

507
00:32:25,920 --> 00:32:30,800
EM: Well, visually you
can see that's a person.

508
00:32:32,680 --> 00:32:37,877
Yeah, and that's the vehicle. (Laughter)
CA: So if that was a skyscraper,

509
00:32:37,960 --> 00:32:41,237
that's like, did I read that,
a 40-story skyscraper?

510
00:32:41,320 --> 00:32:42,970
EM: Probably a little more, yeah.

511
00:32:44,360 --> 00:32:48,360
The thrust level of this is really --

512
00:32:50,360 --> 00:32:55,280
This configuration is about four times
the thrust of the Saturn V moon rocket.

513
00:32:56,440 --> 00:33:01,237
CA: Four times the thrust of the biggest
rocket humanity ever created before.

514
00:33:01,320 --> 00:33:02,520
EM: Yeah. Yeah.

515
00:33:04,640 --> 00:33:09,037
CA: As one does. EM: Yeah. (Laughter)

516
00:33:09,120 --> 00:33:15,037
In units of 747, a 747 is only about
a quarter of a million pounds of thrust,

517
00:33:15,120 --> 00:33:19,877
so for every 10 million pounds
of thrust, there's 40 747s.

518
00:33:19,960 --> 00:33:26,157
So this would be the thrust equivalent
of 120 747s, with all engines blazing.

519
00:33:26,240 --> 00:33:30,397
CA: And so even with a machine
designed to escape Earth's gravity,

520
00:33:30,480 --> 00:33:35,117
I think you told me last time this thing
could actually take a fully loaded 747,

521
00:33:35,200 --> 00:33:38,757
people, cargo, everything, into orbit.

522
00:33:38,840 --> 00:33:43,917
EM: Exactly. This can take a fully
loaded 747 with maximum fuel,

523
00:33:44,000 --> 00:33:50,760
maximum passengers, maximum cargo
on the 747 -- this can take it as cargo.

524
00:33:52,080 --> 00:33:53,757
CA: So based on this,

525
00:33:53,840 --> 00:33:58,597
you presented recently this
Interplanetary Transport System

526
00:33:58,680 --> 00:34:01,997
which is visualized this way.

527
00:34:02,080 --> 00:34:06,160
This is a scene you picture in,
what, 30 years time? 20 years time?

528
00:34:06,880 --> 00:34:09,397
People walking into this rocket.

529
00:34:09,480 --> 00:34:13,997
EM: I'm hopeful it's sort
of an eight- to 10-year time frame.

530
00:34:14,080 --> 00:34:16,397
Aspirationally, that's our target.

531
00:34:16,480 --> 00:34:21,680
Our internal targets are more
aggressive, but I think -- (Laughter)

532
00:34:23,600 --> 00:34:26,917
CA: OK. EM: While
vehicle seems quite large

533
00:34:27,000 --> 00:34:33,117
and is large by comparison with other
rockets, I think the future spacecraft

534
00:34:33,200 --> 00:34:37,040
will make this look like a rowboat.

535
00:34:38,320 --> 00:34:42,957
The future spaceships
will be truly enormous.

536
00:34:43,040 --> 00:34:49,317
CA: Why, Elon? Why do we
need to build a city on Mars

537
00:34:49,400 --> 00:34:52,397
with a million people
on it in your lifetime,

538
00:34:52,480 --> 00:34:55,480
which I think is kind of what
you've said you'd love to do?

539
00:34:56,480 --> 00:34:59,240
EM: I think it's important to have

540
00:35:01,120 --> 00:35:03,797
a future that is inspiring and appealing.

541
00:35:03,880 --> 00:35:06,597
I just think there have to be reasons

542
00:35:06,680 --> 00:35:09,557
that you get up in the morning
and you want to live.

543
00:35:09,640 --> 00:35:11,037
Like, why do you want to live?

544
00:35:11,120 --> 00:35:12,797
What's the point? What inspires you?

545
00:35:12,880 --> 00:35:14,677
What do you love about the future?

546
00:35:14,760 --> 00:35:16,197
And if we're not out there,

547
00:35:16,280 --> 00:35:20,237
if the future does not include
being out there among the stars

548
00:35:20,320 --> 00:35:24,477
and being a multiplanet species,
I find that it's incredibly depressing

549
00:35:24,560 --> 00:35:27,837
if that's not the future
that we're going to have.

550
00:35:27,920 --> 00:35:34,397
(Applause) CA: People want
to position this as an either or,

551
00:35:34,480 --> 00:35:38,117
that there are so many desperate
things happening on the planet now

552
00:35:38,200 --> 00:35:41,640
from climate to poverty to,
you know, you pick your issue.

553
00:35:42,480 --> 00:35:44,957
And this feels like a distraction.

554
00:35:45,040 --> 00:35:46,797
You shouldn't be thinking about this.

555
00:35:46,880 --> 00:35:48,997
You should be solving what's here and now.

556
00:35:49,080 --> 00:35:51,957
And to be fair, you've done
a fair old bit to actually do that

557
00:35:52,040 --> 00:35:54,797
with your work on sustainable energy.

558
00:35:54,880 --> 00:35:56,920
But why not just do that?

559
00:35:59,360 --> 00:36:01,440
EM: I think there's --

560
00:36:04,840 --> 00:36:09,197
I look at the future from the
standpoint of probabilities.

561
00:36:09,280 --> 00:36:13,397
It's like a branching
stream of probabilities,

562
00:36:13,480 --> 00:36:18,480
and there are actions that we can
take that affect those probabilities

563
00:36:19,920 --> 00:36:23,120
or that accelerate one thing
or slow down another thing.

564
00:36:24,000 --> 00:36:28,120
I may introduce something
new to the probability stream.

565
00:36:30,840 --> 00:36:32,957
Sustainable energy will
happen no matter what.

566
00:36:33,040 --> 00:36:35,477
If there was no Tesla,
if Tesla never existed,

567
00:36:35,560 --> 00:36:38,357
it would have to happen out of necessity.

568
00:36:38,440 --> 00:36:39,957
It's tautological.

569
00:36:40,040 --> 00:36:43,637
If you don't have sustainable energy,
it means you have unsustainable energy.

570
00:36:43,720 --> 00:36:45,277
Eventually you will run out,

571
00:36:45,360 --> 00:36:51,117
and the laws of economics
will drive civilization

572
00:36:51,200 --> 00:36:54,037
towards sustainable energy, inevitably.

573
00:36:54,120 --> 00:36:57,037
The fundamental value
of a company like Tesla

574
00:36:57,120 --> 00:37:01,477
is the degree to which it accelerates
the advent of sustainable energy,

575
00:37:01,560 --> 00:37:03,410
faster than it would otherwise occur.

576
00:37:05,120 --> 00:37:09,037
So when I think, like, what is the
fundamental good of a company like Tesla,

577
00:37:09,120 --> 00:37:10,757
I would say, hopefully,

578
00:37:10,840 --> 00:37:16,397
if it accelerated that by a decade,
potentially more than a decade,

579
00:37:16,480 --> 00:37:18,557
that would be quite a good thing to occur.

580
00:37:18,640 --> 00:37:24,360
That's what I consider to be the
fundamental aspirational good of Tesla.

581
00:37:25,480 --> 00:37:31,757
Then there's becoming a multiplanet
species and space-faring civilization.

582
00:37:31,840 --> 00:37:33,717
This is not inevitable.

583
00:37:33,800 --> 00:37:36,437
It's very important to appreciate
this is not inevitable.

584
00:37:36,520 --> 00:37:39,557
The sustainable energy future
I think is largely inevitable,

585
00:37:39,640 --> 00:37:44,317
but being a space-faring civilization
is definitely not inevitable.

586
00:37:44,400 --> 00:37:48,517
If you look at the progress in space,

587
00:37:48,600 --> 00:37:51,200
in 1969 you were able
to send somebody to the moon.

588
00:37:52,040 --> 00:37:53,240
1969.

589
00:37:54,840 --> 00:37:57,677
Then we had the Space Shuttle.

590
00:37:57,760 --> 00:38:01,117
The Space Shuttle could only
take people to low Earth orbit.

591
00:38:01,200 --> 00:38:05,250
Then the Space Shuttle retired, and the
United States could take no one to orbit.

592
00:38:06,320 --> 00:38:10,280
So that's the trend.
The trend is like down to nothing.

593
00:38:11,560 --> 00:38:15,997
People are mistaken when they think that
technology just automatically improves.

594
00:38:16,080 --> 00:38:17,917
It does not automatically improve.

595
00:38:18,000 --> 00:38:22,597
It only improves if a lot of people
work very hard to make it better,

596
00:38:22,680 --> 00:38:28,397
and actually it will, I think,
by itself degrade, actually.

597
00:38:28,480 --> 00:38:30,837
You look at great civilizations
like Ancient Egypt,

598
00:38:30,920 --> 00:38:34,637
and they were able to make the pyramids,
and they forgot how to do that.

599
00:38:34,720 --> 00:38:37,477
And then the Romans, they built
these incredible aqueducts.

600
00:38:37,560 --> 00:38:38,810
They forgot how to do it.

601
00:38:40,720 --> 00:38:42,717
CA: Elon, it almost seems,
listening to you

602
00:38:42,800 --> 00:38:44,997
and looking at the different
things you've done,

603
00:38:45,080 --> 00:38:47,797
that you've got this unique
double motivation on everything

604
00:38:47,880 --> 00:38:49,230
that I find so interesting.

605
00:38:51,720 --> 00:38:56,237
One is this desire to work
for humanity's long-term good.

606
00:38:56,320 --> 00:38:58,597
The other is the desire
to do something exciting.

607
00:38:58,680 --> 00:39:03,317
And often it feels like you feel like
you need the one to drive the other.

608
00:39:03,400 --> 00:39:06,437
With Tesla, you want
to have sustainable energy,

609
00:39:06,520 --> 00:39:10,997
so you made these super sexy,
exciting cars to do it.

610
00:39:11,080 --> 00:39:14,697
Solar energy, we need to get there,
so we need to make these beautiful roofs.

611
00:39:14,780 --> 00:39:18,477
We haven't even spoken about your newest
thing, which we don't have time to do,

612
00:39:18,560 --> 00:39:20,837
but you want to save humanity from bad AI,

613
00:39:20,920 --> 00:39:24,157
and so you're going to create this
really cool brain-machine interface

614
00:39:24,240 --> 00:39:28,037
to give us all infinite memory
and telepathy and so forth.

615
00:39:28,120 --> 00:39:34,477
And on Mars, it feels like what you're
saying is, yeah, we need to save humanity

616
00:39:34,560 --> 00:39:39,157
and have a backup plan,
but also we need to inspire humanity,

617
00:39:39,240 --> 00:39:43,760
and this is a way to inspire.

618
00:39:45,680 --> 00:39:51,397
EM: I think the value of beauty
and inspiration is very much underrated,

619
00:39:51,480 --> 00:39:54,277
no question. But I want to be clear.

620
00:39:54,360 --> 00:39:56,117
I'm not trying to be anyone's savior.

621
00:39:56,200 --> 00:39:57,400
That is not the --

622
00:39:58,240 --> 00:40:03,240
I'm just trying to think about
the future and not be sad.

623
00:40:04,400 --> 00:40:07,720
(Applause) CA: Beautiful statement.

624
00:40:10,200 --> 00:40:13,000
I think everyone here would
agree that it is not --

625
00:40:13,800 --> 00:40:15,797
None of this is going
to happen inevitably.

626
00:40:15,880 --> 00:40:19,477
The fact that in your mind,
you dream this stuff,

627
00:40:19,560 --> 00:40:22,077
you dream stuff that no
one else would dare dream,

628
00:40:22,160 --> 00:40:24,757
or no one else would
be capable of dreaming

629
00:40:24,840 --> 00:40:28,437
at the level of complexity that you do.

630
00:40:28,520 --> 00:40:31,637
The fact that you do that, Elon Musk,
is a really remarkable thing.

631
00:40:31,720 --> 00:40:34,357
Thank you for helping us
all to dream a bit bigger.

632
00:40:34,440 --> 00:40:37,877
EM: But you'll tell me if it ever
starts getting genuinely insane, right?

633
00:40:37,960 --> 00:40:43,517
(Laughter) CA: Thank you, Elon Musk.
That was really, really fantastic.

634
00:40:43,600 --> 00:40:49,120
That was really fantastic. (Applause)
