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Tekedra Mawakana | All-In Summit 2024

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Tekedra Mawakana | All-In Summit 2024

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783 segments

0:00

hop in a driverless taxi with the Google

0:02

owned self-driving company whmo opening

0:04

up its Robo taxis to all users in that

0:07

City the technology of course is hugely

0:10

expensive alphabet's autonomous vehicle

0:13

unit weo completing another major round

0:15

of funding Teedra has served as co-ceo

0:18

at whamos since

0:20

2021 we are on a mission to build the

0:23

world's most experienced driver and make

0:24

it safe and easy for people and things

0:26

to get where they're going this is not a

0:28

move fast and break things this is a

0:30

move with great great iterative pace and

0:33

focus on

0:34

[Music]

0:37

safety please uh join me in welcoming to

0:40

kedra from weo to the

0:43

stage hi thank you for thank you it's a

0:47

pleasure thanks for coming thank you so

0:50

much Hi D thank you tea thanks so much

0:54

for being here yeah thank you uh tequa

0:56

has been co-ceo of weo since

0:58

2021 where she leads the company's

1:00

business operations and expansion in

1:03

autonomous driving recently weo has been

1:05

reported to be completing I don't know

1:06

if weo put this out or if it wasn't been

1:08

used but over 100,000 pay trips per week

1:10

now is that is that public is that like

1:12

a true thing it's completely true it's

1:15

over 100,000 over 100,000 week week per

1:18

week yeah that's awesome and um we can

1:20

now see wh Mo's autonomous ride haing

1:22

Services in Phoenix La San Francisco in

1:25

the Bay Area Austin and I think on X you

1:28

announced 5 billion an additional

1:30

committed funding from alphabet I don't

1:32

know if that was recent to support wh's

1:34

expansion it was recent congratulations

1:36

and um so thanks for joining us uh the

1:39

weo story started a long time ago as a

1:43

Google X Project when did you join and

1:45

how did you kind of become coo yeah

1:47

thank you um so weo started as the

1:50

Google self-driving car project back in

1:52

2009 and uh actually my co-ceo was one

1:56

of those founding team members Demitri

1:58

doov and in 2016 at the end of 2016 we

2:03

spun out and sort of became wh um and

2:06

that's when I joined um at that point it

2:09

had been determined that the technology

2:12

was on a good enough path to start to

2:13

think about commercialization and scale

2:17

um and so the funny the fun thing about

2:19

joining a moonshot is you know I came

2:21

from Big tech company so I'm like oh

2:23

product Market fit like it's all there

2:25

I'm going to join and we're going to

2:27

scale and the reality is it was an

2:29

opportunity to learn how much this is a

2:32

process of discovery um how much this is

2:35

a process of figuring out not only the

2:38

technology roadmap but also the external

2:40

environment and at that time I had been

2:42

head of policy at a lot of companies and

2:45

I joined under the idea that if the

2:47

technology works the market opportunity

2:50

would come from being able to open

2:51

markets and so that was super terrifying

2:54

to me because if you're at most large

2:56

tech companies doing policy work you're

2:58

actually trying to

3:00

avoid costs or you're trying to defeat

3:03

legislation that's harmful but this was

3:05

really the opportunity of like how do

3:07

you Usher in this amazing technology and

3:11

so that's when I joined and then I um

3:13

was asked by my prior CEO to help

3:15

launched the first Market which was

3:17

Phoenix back then it was Chandler um and

3:19

we launched that back in 2017 and we've

3:22

been since 2018 a lot of people don't

3:24

realize we've had a 247 ride hailing

3:28

service um Around the Clock it was in

3:31

2020 during covid though that we removed

3:34

the driver from behind the wheel so we

3:37

have the weo driver uh that's driving

3:39

the vehicles at all time but there's no

3:41

human behind the wheel and we've been

3:43

offering that service now we're almost

3:45

at four years 24/7 not only in Phoenix

3:48

which was a 315 square m mile territory

3:52

but also in San Francisco and now here

3:53

in La so in that sort of ushering in

3:56

from Market one to this role I moved

3:59

through this coo role um and that's when

4:01

we actually remov the driver and that's

4:03

you know it was the we're the first

4:04

company that's done that and um so it

4:07

was daunting and I think that's one

4:09

thing I love about wh we call our team

4:12

wonuts is you just have to every time

4:14

get to this point of determining what's

4:17

good enough uh what's safe enough yeah

4:20

and then make that leap and then learn

4:23

because you can't learn until you get to

4:24

that next point and so of course we have

4:26

rigorous safety culture um but it was in

4:29

that time that I was coo and then in

4:31

April of 21 I moved into the co-ceo role

4:34

with Demitri so now now that it's

4:36

scaling 100,000 paid rides a week maybe

4:38

we can talk a little bit I mean Jason SP

4:40

a lot maybe starting with security would

4:42

be an interest safety rather would be a

4:44

really good idea um you've done it seems

4:48

like millions of rides now no fatalities

4:51

correct that's right um but there have

4:53

been accidents so when you look at the

4:56

the accidents that have occurred how

4:58

often does an accident occur and in what

5:00

percentage of the time is it just

5:02

somebody running into the weo versus the

5:04

wayo running into somebody else yeah so

5:07

we've done 2 million sort of paid rides

5:11

um so when we think about we just

5:14

released this week our safety Hub so

5:17

this you're sort of tapping into an

5:18

issue that's really important what we've

5:20

been able to determine as of June of

5:22

this year with over 22 million what we

5:25

refer to as Ro miles those are miles

5:28

that are fully autonomous

5:30

uh we've been able to have 83% fewer

5:34

airbag deployments which of course is

5:36

important because those are high impact

5:38

um and 74 or 73% fewer injury causing

5:44

crashes now that's what we're focused

5:46

over a human over a traditional

5:48

traditional human meaning the

5:49

counterfactual in that area at that same

5:52

point in time exactly via insurance

5:54

claims and other data ex we're not we're

5:56

comparing in San Francisco not on

5:58

highways there Apple Apple's comparison

6:00

we're comparing in San Francisco or in

6:02

Phoenix okay great because this is the

6:05

next piece which is you're not yet on

6:07

highways that's right we're testing on

6:09

highways in Phoenix and San Francisco

6:11

saf drivers with employees and a human

6:13

behind the wheel at times and maybe you

6:16

could explain to us when why you're

6:19

taking that approach cuz in my

6:21

experience driving a Tesla since the

6:22

beginning with full self-driving and

6:24

autopilot before that um it seems like

6:27

it's better on the highway than is on

6:30

local streets where you have people

6:32

jumping out and weird things that occur

6:34

on the highway you very rarely have a

6:36

run into a weird thing it's it's pretty

6:38

ABC so I I would think it was the

6:40

opposite but is it because speed kills

6:42

what what's the thinking there so I

6:45

think so just for everyone to orient um

6:48

when you think about the levels of

6:49

autonomy we are only focused on level

6:51

four and above level four and above

6:54

means you do not need a driver's license

6:56

nor do you need to sit behind the wheel

6:58

so when you're focused on tackling the

7:01

hardest challenge first it's really

7:03

important to for the driver the weo

7:05

driver to ingest dense Urban

7:08

environments because that is where the

7:10

driver is going to learn the most

7:12

sitting on freeway seeing the same thing

7:13

every day can be predictable it's not

7:16

entirely predictable but it's not

7:18

additive to what the machine learns

7:20

that's a great answer so we're trying to

7:21

learn as much as we can learn and we've

7:24

always from the beginning been focused

7:26

on freeways it's just that freeways

7:28

isn't actually how the machine learns

7:30

the fastest in the most sophisticated

7:32

environments but because you brought up

7:34

you know sort of a level three or two or

7:36

one system I think it's also important

7:39

that for systems where you need someone

7:41

to sit behind the wheel you can have a

7:44

completely different approach to this

7:45

technology but we're really when I don't

7:47

know how many of you here have had the

7:49

chance to take a away my ride here in La

7:51

it actually includes this campus where

7:53

we're sitting right now but we you don't

7:55

you can't sit behind the wheel so

7:57

there's no ambiguity you sit in the

7:58

passenger seat or you sit in the back

8:00

seat so let's talk about the lar versus

8:03

camera bet elon's been pretty clear hey

8:06

you don't need lar it's a waste of money

8:08

the lar on Whos I believe is still in

8:10

the $1 to $220,000 in incremental class

8:12

am I ballpark correct I not sure oh okay

8:16

um so with that as you scale costs go

8:19

down yeah of course

8:21

so who's who's right I mean are you

8:24

using the liar and is that a critical

8:26

piece of this or do you think eventually

8:28

hey the cameras are seeing

8:30

360° they have higher Fidelity than

8:32

human eyes so and if humans do a great

8:34

job and you just have to beat the humans

8:35

at driving why even have the liar what

8:37

do you think so obviously we have

8:40

conviction that we need liar radar and

8:42

cameras uh we have all three it's given

8:44

us the opportunity to scale at this

8:46

point we're the only company that's

8:48

doing level four driving on public roads

8:50

24 hours a day it's very different to

8:53

get to the place of a demo we learned

8:55

that ourselves back in 2015 and 16 and

8:58

17 we had an autopilot Highway um

9:02

product we allowed employees at the time

9:04

Google employees to ride in that product

9:06

we told them to pay attention we told

9:09

them you have to be alert and be

9:10

prepared to take over what did they do

9:12

they do we're human we want to do other

9:14

staff when we're in the car like I want

9:17

to be on the phone I want to get to that

9:18

meeting I need to send that last email I

9:20

need to check whether or not my son's

9:22

doctor's appointment is tomorrow and

9:23

next Thursday we're distracted and so

9:25

what happens the thing's beeping at you

9:27

it's telling you to re-engage and pay

9:29

attention and what we learned is that

9:31

that's not a way to improve road safety

9:34

and so the question is what's the end

9:36

goal is it to improve Road Safety or not

9:37

for us as a company we are obsessed our

9:40

our culture is about safety this mission

9:42

is about safety and we want to expand

9:45

the number of people who have access to

9:47

Mobility options if you need a driver's

9:50

license then it's just like every other

9:52

Mobility platform you have to be behind

9:54

the wheel can I sorry go ahead I'm

9:57

curious about when this flips from a

10:00

technology problem and a go to market

10:02

problem to one of Public

10:04

Health um because that's a staggering

10:07

fact and you know we all know people

10:10

that have lost somebody close to them

10:13

whether it's just a road accident or the

10:14

dunk driving or to you know I don't know

10:16

if you guys saw anybody follows hockey

10:18

but the you know Johnny hocky who was

10:20

killed with his brother the day before

10:21

his sister's wedding by a drunk drive

10:23

this is like so avoidable so what does

10:26

it take for a politician or a group of

10:29

of politicians and I don't even know at

10:31

which level this decision would get made

10:33

where they say okay we've seen enough

10:34

that should be the only solution and are

10:36

you pushing for that so we are pushing

10:40

to make sure people who put autonomous

10:43

vehicles on the road have to demonstrate

10:44

their safety case we think the worst

10:47

thing that could happen is introducing a

10:49

new technology that doesn't actually

10:51

improve this problem because it'll kill

10:53

the whole industry because it'll kill

10:55

the whole industry and the State of

10:58

Affairs 4 ,000 Americans 1.35 globally

11:01

dying annually from Road crashes is

11:04

avoidable and so the challenge that we

11:07

have to tackle with a lot of humility is

11:10

how prepared is the public you know

11:14

humans can kill other people how

11:17

prepared is the public to accept that

11:19

this isn't going to be a Panacea and

11:22

it's not going to be perfect you didn't

11:23

hear me say 100% 100% 100 right was 70

11:26

there'll be a small error R there's

11:27

going to be a small and so that's the

11:29

work that we're doing which is we have

11:31

Community Partners Mothers Against Drunk

11:32

Driving national Safety Council a host

11:35

of organizations who've been trying to

11:36

tackle this issue who we partnered with

11:39

early because it's it's actually in both

11:41

of our interest to figure out how to

11:43

tell the story that if this technology

11:46

can reduce 60% of the uh fatalities then

11:51

it's worth the exposure to the risk are

11:53

you on any sort of internal shock clock

11:56

meaning there must have been a moment

11:58

where you convened a meeting or you guys

11:59

had a meeting and you said all right we

12:01

have enough data let's go we're going to

12:03

pull the guy out of the car or hey this

12:05

is it we're ready and then you show it

12:06

to regulators and they say okay is there

12:10

a set of these really important

12:12

Milestones that we're going to feel like

12:14

goes to other cities like is it only

12:16

grid cities where this works like so

12:18

where do you go from here yeah I hope I

12:21

hope that what over time you start to

12:23

experience is one because we are you

12:25

know super focused on safety you'll see

12:28

us scaling

12:30

um and because we're building a driver

12:33

and not a car you'll see a scaling in a

12:36

number of ways so we have Partnerships

12:37

right now we have a partnership with

12:39

Uber in Phoenix why are we doing that

12:41

people are like oh my gosh I got my Uber

12:43

Eats in AO like why are you all doing

12:45

that it's because we're building a

12:47

driver and so we're trying to figure out

12:49

all of the ways in which this driver

12:50

could be applied to future use cases and

12:53

so over time you're certainly going to

12:55

see us announce new places but you're

12:57

also going to see like in San Francisco

12:59

we launched a 24-hour service in a

13:01

limited territory and over time we've

13:03

expanded that territory is a step

13:05

functioning complexity to go to cities

13:06

that are more how would I call it more

13:09

chaotically City planned it is

13:12

definitely an opportunity for the driver

13:14

to learn more and so coming to Los

13:16

Angeles for example was more like being

13:18

in Phoenix going to Austin exactly

13:21

exactly going to Manhattan we will

13:23

certainly benefit from our work in San

13:25

Francisco same thing with DC start with

13:27

the GD cities and work your way into

13:30

more complex Series so can I follow up

13:31

on the um on that that last point I I I

13:34

have a friend who's the third or fourth

13:35

investor in Uber and

13:40

um and he he's uh he's very worried that

13:45

once this product scales there's not

13:47

really giv me a need for Uber anymore

13:48

right why would you need Uber if you can

13:51

just summon the robot car directly or

13:53

the robot driver whatever you want to

13:54

call it right driver car whatever I mean

13:57

doesn't this logically disrupt

13:59

Uber at you know once it's at

14:03

scale I think

14:07

um well they're a current part I said we

14:10

have a partnership with right I mean I

14:12

have we have a partnership your friend

14:14

hasn't sold enough

14:15

share your friend's doing just fine we

14:18

have the partnership with Uber because

14:20

we think it's important for us to create

14:22

an AV ecosystem around this technology

14:26

like this isn't going to be we've

14:27

created technology we're going to figure

14:29

out everything ourselves like that would

14:31

be foolish and very expensive and we'd

14:33

never find ourselves profitable but

14:35

having companies that are experts in

14:38

integration having Automotive partner

14:41

you know we have we're not building the

14:42

car having network Partners having Fleet

14:45

operating Partners public officials like

14:48

there's a lot that is built around us

14:51

and these are the early days the early

14:53

Innings and so that's part of it is

14:54

learning in the I'd say five years ago

14:57

people would say to me you know Network

15:00

operators would say oh this is exactly

15:02

like we know how to do this well this is

15:04

a constrained Supply it's not a supply

15:07

you just sege this is a driver that you

15:09

need to understand actually how to

15:11

operate with and so I think we're going

15:13

through those steps to learn together

15:14

and so what I would say is there's room

15:17

for a lot of people under this is the is

15:18

the insurance Lobby in the insurance

15:21

industry a proponent

15:24

or do they would they try to constrain

15:27

your progress so one of the largest uh

15:30

reinsurers in the world swisser is

15:32

actually been doing our safety yeah they

15:35

would want to underwrite this yeah but

15:37

I'm talking about more like the Geico of

15:38

the world same I think they're very

15:41

eager to get the data sets that we're

15:42

releasing like we released set 20 uh

15:45

safety papers last year they're all

15:47

wanting to understand what the actual

15:49

impact of this technology can be because

15:51

you know one of the things I think

15:53

that's hard for us to grasp as as humans

15:55

or at least I'll say for me I don't like

15:57

speaking for everybody the

15:59

you know we drive in a week more than a

16:02

human drives in a

16:04

lifetime and you can say that as a

16:07

company that runs fleets but we're the

16:09

only company where it's one

16:12

driver and that's not like that's not

16:15

the way the world is organized right now

16:18

right FedEx has a lot of drivers all of

16:20

you who have Teslas have a lot of

16:22

drivers like everyone has a lot of

16:23

drivers and all of those drivers have

16:25

different capabilities this is one

16:28

driver learning all the time in

16:32

unison and so like what can we

16:34

demonstrate that's possible and it

16:36

really goes back to your other question

16:37

of like what do what are policy makers 5

16:40

years from now really going to want to

16:41

know and how will they be able to derive

16:43

from what we're doing today where were

16:45

you when you heard the news of Cruz

16:47

dragging that woman in San Francisco 20

16:50

feet and then where were you and what

16:53

was your reaction internally to when you

16:55

found out Cruz covered it up

16:59

um I don't remember where I was uh when

17:02

I learned but I um you know it's we're

17:07

here to improve Road Safety so it was

17:10

pretty um upsetting I think to me and

17:13

the whole org I think as we learned

17:17

about the lack of transparency like our

17:19

view has just been be transparent it's

17:22

not Perfection like it's technology yeah

17:25

but you're considered they contemporary

17:27

and you have a different approach you

17:29

would never cover it up um they

17:31

obviously had something dysfunctional

17:33

did that set the industry back

17:34

significantly how are Regulators talking

17:36

to you before and after that if

17:38

differently if at all it definitely led

17:42

to more scrutiny in San Francisco

17:44

because there was already an active and

17:47

continues to be a fairly active voice

17:50

against technology in San Francisco and

17:53

so we needed to continue to engage which

17:56

we were already doing provide more data

17:58

which which we're of course willing to

17:59

do and I think over time what we'll see

18:02

is you know we have to get to a place

18:04

where the amount of data that we're

18:06

providing actually advances the safety

18:08

concerns I think at that point it was

18:11

just providing a lot more engagement so

18:13

if the mission is to reduce those debts

18:15

and to really scale this technology Uber

18:17

is doing a quarter billion rides a week

18:20

uh you just raised five billion it's a

18:21

big number uh that gives you another

18:23

50,000 cars um which is a fraction of

18:27

the rides in but one city

18:29

it seems like you need a lot of Partners

18:31

in the car space to build this so

18:34

wouldn't the best strategy be to license

18:36

this technology to every car maker and

18:38

then allow the Ubers the lifts the door

18:42

dashes um and Fleet managers to handle

18:44

cleaning the puke in the back of the

18:46

cars and putting the air in the tires

18:48

because I don't think wao wants to be in

18:49

the back of that car cleaning up the

18:51

puke and the and doing the air Tire

18:53

right there has to be somebody who

18:54

manages all that so so maybe talk a

18:56

little bit about that possibility of and

18:59

even a more beautiful thing would be for

19:01

you to open source it so has there been

19:02

a discussion internally about open

19:04

sourcing this technology so I'll start

19:06

at the beginning I think what you just

19:07

described is exactly the AV ecosystem

19:09

that I'm talking about and yes out of

19:12

necessity and because we are the I mean

19:14

whoever was first was going to need to

19:16

create this it doesn't exist right so

19:18

we're doing that um I think the second

19:21

part of what you're talking let everyone

19:23

do what they're good at like we're good

19:24

at building this driver there's though a

19:26

period where we have to become really

19:28

good at what does it mean to operate at

19:31

scale and that's the that's where we are

19:33

right now what does it mean to operate

19:35

at scale what does it you know

19:37

technology can work and not be

19:38

delightful not be reusable not be

19:40

repeatable and that you know we don't

19:42

just want people having tourism rides we

19:44

want people actually integrating this

19:46

into their lives and we just did a a ux

19:48

study and we found that a third of

19:50

people use the service in San Francisco

19:52

to go to their doctor appointments we're

19:54

like that feels like real life and 36%

19:57

uh we using the vehicles to go to local

20:00

businesses which is also real life and

20:02

so these are the kinds of signals that

20:05

we're trying to get as far as like

20:07

personally Owned Cars we've always said

20:09

as part of our strategy from the

20:10

beginning that we would start with ride

20:12

hailing and local delivery and that

20:14

eventually we would make our technology

20:16

available to um Automotive companies so

20:19

that this you know at some point you'll

20:22

find wayo cars sitting on showroom

20:23

floors for sale oh wow so you you we

20:26

could go buy one and then put it into

20:27

whatever Fleet we want yes what does it

20:29

cost to make one of these cars today and

20:31

where do you see it in 5 years yeah and

20:33

just I guess on that question where's

20:34

the Tipping Point Unit economics so if

20:36

you look at on the ride hailing business

20:39

based on I know a lot of people drive

20:40

during rush hour and then they don't

20:42

need rides the rest of the time so

20:43

there's a lot of excess inventory

20:44

sitting around so if you look at the

20:46

utilization of a car over its lifetime

20:49

and the cost of the car over the

20:50

lifetime what's the the breaking point

20:52

where the unit economics Mak sense yeah

20:54

um so your question of cost of car we

20:57

just don't break it out since we're not

20:59

um reported separately for alphabet

21:01

we're just bundled rumor is a buck 50

21:03

right now it's

21:04

close Okay fck 25 not commenting on

21:08

rumors not commenting on rumors wa wait

21:11

if that's that's just the um the system

21:13

for self-drive the car plus the system

21:16

The Car Plus but what 125 to 150 is the

21:18

rumor rumored cost for the car today

21:21

actually is like comment on the rumor

21:23

well but but that's I mean that's

21:26

obviously a lot more than a Tesla right

21:28

so

21:29

yeah t 40,000 50,000 yeah so do we do we

21:32

know ballparks here what can we

21:37

say keep on so fun we're just we're

21:40

poker players so we're trying to read

21:41

you and bait you and it's not working we

21:44

didn't know you were a Jedi so so so

21:45

sorry let me just ask is it about

21:48

Reinventing the system or getting the

21:49

next gen of the system before the unit

21:51

economics break or is it about volume

21:53

what's the breaking point of where the

21:54

unit economics become profitable become

21:57

positive um yeah not not going to get

22:00

into that other than to say to you I is

22:03

the thing I spend all of my time focus

22:05

on and we are on but there's a path

22:07

there there's completely a path there

22:09

well without getting into costs so is

22:11

one of the plans here to sell this to

22:15

you know all the car makers so that they

22:17

can compete with Tesla because most of

22:19

the car companies do not have the

22:21

technical capabilities to develop their

22:23

own self-driving it's just impossible so

22:25

are you guys going to be like an oem to

22:27

all the car makers so that they can

22:29

provide self-driving yeah we've said

22:33

sort of publicly and we've had

22:34

Partnerships where we've made the

22:35

technology available um it's a question

22:38

of when you know when will a level four

22:42

sort of product be available and

22:43

interesting to Consumers at scale you

22:46

know that's part of the question but

22:48

absolutely this is part of our strategy

22:50

friend of mine can I that yeah of course

22:52

I'm sorry friend of mine um who couldn't

22:54

make it here um is an angel investor and

22:56

Uber and um

22:59

he uh

23:01

was no uh if you look at the business

23:04

outside of the United States actually if

23:06

you look at Uber's business um there's a

23:08

lot of opportunity in other markets and

23:11

sometimes in other markets they will

23:12

prove probably more able and open-minded

23:16

to taking like the public health

23:18

priority around these things so why such

23:22

a heavy Reliance on America considering

23:25

the scale and the impr premature of

23:27

Google could probably pull you into any

23:29

number of markets anywhere around the

23:30

world yeah so we really think about it

23:34

as this sort of Learning Journey but

23:36

it's also just where we started right I

23:38

mean part part of the conversation we

23:40

get to have now is what would if the

23:43

driver was at this level of maturity

23:45

where would we have started um that said

23:48

we have Global aspirations we are always

23:50

thinking about the does it just take one

23:52

geography to prove this point or do do

23:55

you view it the problem that way like

23:57

it's like we're training we're training

23:58

we're training and then at some point

24:00

there'll be some City or yeah County

24:03

which point I just want to make sure I

24:05

understand this idea where like you can

24:06

prove that it's just so reliable and

24:08

valuable and that you're saving just I I

24:12

really care about that idea yeah to who

24:15

who who would it prove the point to the

24:18

people that would make the rules I guess

24:20

yeah I think I hope I I don't know I

24:25

think there's a lot of noise in the

24:27

system there's a lot of confusion about

24:30

full autonomy versus partial

24:32

autonomy um there's not a lot of

24:35

legislative activity that's informed by

24:38

experts right so I don't know right like

24:41

certainly It's My Hope and I think one

24:44

of the things when you think about

24:46

certain countries around the world there

24:47

is more of a nation state top- down

24:50

approach to some uh regulations and so

24:53

that could be easier Singapore yeah you

24:55

prove it it's codified into law you

24:59

launch um it had it that hasn't been the

25:03

primary way we've thought about Market

25:04

entri or opportunity but certainly one

25:06

of the yeah are but as long as some

25:08

markets adopt the rest of the markets

25:10

will see and they'll fall behind and I

25:12

mean you just have to penetrate some

25:13

markets yeah from Google had amazing

25:16

success with Android and open source so

25:18

back to that open source question you

25:20

must have had this discussion many times

25:22

internally why not open source the

25:24

technology and then provide you know the

25:26

premium Android to people who want want

25:28

to pay and is that something on the road

25:30

map because I hear there's a big

25:31

discussion internally to car OEM just

25:34

open sourcing the maps the software to

25:37

make everybody contribute to it to just

25:39

get this out quicker so where where are

25:41

you at with those internal discussions

25:42

that wayo give away the whole business

25:44

yeah exactly no well I mean Android it's

25:46

worked right I 20 billion in it's like

25:48

let's just give it away well I mean but

25:49

freedberg if you look at Android it's

25:52

only gotten stronger right completely

25:53

different I think that that was

25:55

Defensive on search but not your answer

25:57

no I like it when you guys answer each

25:59

other's questions cuz I get to learn

26:01

what you actually want to see your

26:02

answer we we fight a lot it's fine no

26:04

it's fun it's actually fun for me um so

26:07

feel free to keep so on the question of

26:12

open sourcing that isn't something that

26:15

we're spending a lot of time talking

26:16

about right now let's talk about level

26:18

six which I believe is inclimate weather

26:21

and really heart yeah oh level five

26:23

rather sorry um and I know when I'm in

26:26

my Tesla it gives me a little warning

26:27

hey in Clement weather and the FSD might

26:30

be degraded you know extra attention

26:31

time um how close are you you know to

26:35

feeling comfortable with these things

26:37

driving in snow ice rain or when that

26:40

happens do fleets just pull over and

26:43

game over you know you have you can't

26:44

use these this technology yeah we've uh

26:47

been improving weather we've tested

26:49

across 25 cities specifically for that

26:52

so we had massive storms in San

26:55

Francisco last year and we didn't take

26:57

down the fleet like our fleet was able

26:59

to handle all of the rain so rain and

27:00

flooding pretty good rain May good

27:03

because of like uh liar and radar

27:07

maybe you said it okay fog snow ice um

27:11

so we've tested

27:12

in we've tested in snow and ice we don't

27:16

have any deployments there but that's an

27:18

area that we're learning fog we've been

27:20

able to master that

27:23

280 no problem same thing with those

27:25

sandstorms in Phoenix that was an early

27:28

like those are actually you know very

27:30

challenging and then there swarms of

27:32

birds in Phoenix like really and and

27:35

heat right you have a machine brutal

27:37

it's like it's like Revelation

27:40

like there's a lot there's a lot and you

27:43

know we're the only company that can

27:44

pick you up autonomously at the airport

27:47

right and so

27:50

like is whole thing what has been the

27:52

hardest um challenge for you as CEO

27:58

I think we've heard I mean we've heard

27:59

all these rumors about like cultural

28:01

issues at Google or whatnot but you know

28:04

I get the sense that you're much more

28:05

separated in terms of building a much

28:08

more Technical and specific culture but

28:10

what what have been the hardest

28:11

challenges for you I think one of the

28:13

hardest challenges was making we made

28:16

such a big decision in going fully

28:20

autonomous which is sort of the reason

28:22

we're here during CO mean getting that

28:25

person out the person from behind the

28:27

wheel scaling this and so then bringing

28:29

the culture back together to now scale

28:32

so we just needed like we needed a

28:34

minute to lock back in that's one of the

28:36

things and the other one I would say is

28:37

what you just said which is you know

28:40

it's a brilliant team and the team works

28:44

really hard but like bad things are

28:47

going to happen in the real world with

28:48

human drivers around our cars and the

28:51

team takes that so seriously and so

28:54

that's it's it's like a it's like having

28:56

worked at I mean I worked at a I know

28:58

there too but like other kinds of tech

29:01

companies I know every kind of company

29:02

is stressful it's a different kind of

29:04

stress When people's lives are

29:06

completely and they personalize work

29:08

yeah and so that's it's just a different

29:10

level of stress and

29:12

accountability responsibility

29:14

differently because of that pressure or

29:16

no you do when things happen in Industry

29:19

you know we need people to sort of you

29:22

know stay buckled in and believing that

29:24

this is something that is worth it it's

29:26

audacious it's hard but it's worth it

29:29

and it and it's bigger most people come

29:31

because they have lost someone like

29:33

they're very Mis can I be very honest

29:34

with you it's it's an incredible framing

29:36

you gave and I I totally missed it for

29:38

so many years which is when you said

29:39

we're building one driver I thought for

29:42

whatever reason you were building an

29:43

autonomous driving system which I I

29:45

interpreted very technologically for a

29:46

very long time but you're absolutely

29:48

right you have one goal it's very

29:49

clarifying actually the world's greatest

29:51

driver one the world's greatest driver

29:53

world's most trusted driver most trusted

29:55

driver Teedra thank you forred yeah I

29:58

mean incredible thank you so much

30:00

yeah thank you it was awesome thank you

30:03

so much

Interactive Summary

Waymo, Google's autonomous vehicle company, is rapidly expanding its Robo taxi services, currently operating in Phoenix, Los Angeles, San Francisco, the Bay Area, and Austin. The company reports over 100,000 paid trips per week and recently secured an additional $5 billion in funding from Alphabet. Tekedra Mawakana, co-CEO since 2021, highlighted Waymo's mission to build the world's most experienced and trusted driver with an emphasis on safety and an iterative pace. Waymo has recorded over 22 million fully autonomous miles with significantly fewer airbag deployments and injury-causing crashes compared to human drivers, and zero fatalities. Unlike other systems, Waymo focuses on Level 4 autonomy (fully driverless), prioritizing learning in dense urban environments before widespread highway deployment. The company integrates Lidar, radar, and cameras for enhanced safety and decision-making. Waymo aims to improve road safety and is partnering with organizations like MADD to raise public acceptance of autonomous vehicles, acknowledging that while not perfect, the technology can drastically reduce fatalities. Looking ahead, Waymo plans to continue scaling its services, exploring partnerships, and eventually making its technology available to automotive companies for personal car sales. Despite challenges, including public perception and complex weather conditions (which Waymo is actively testing and improving for), the company remains committed to its mission of creating a safer and more accessible mobility future.

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