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Mass Surveillance, Police Misuse, and Who Controls Your Flock Cameras with Flock CEO, Garret Langley

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Mass Surveillance, Police Misuse, and Who Controls Your Flock Cameras with Flock CEO, Garret Langley

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1641 segments

0:00

All right everybody, welcome back to the

0:01

allin interview. This is where we find

0:04

the people building the future.

0:05

Sometimes a politician, sometimes a CEO,

0:08

sometimes an investor. All the time an

0:10

important discussion and one of the most

0:12

important discussions of the moment is

0:15

balancing safety and privacy. And there

0:18

is one company that has, you know, is at

0:21

the center of this. And we're so lucky

0:23

to have Garrett from Flock here, Garrett

0:25

Langley. Garrett, you and I spoke on

0:27

This Week in Startups, my other podcast

0:29

that I've been doing for 16 years. I

0:30

don't know how many years ago that was,

0:32

six or seven years ago.

0:33

>> Six or seven years. Yeah.

0:34

>> And I've been following your company.

0:36

Uh, full disclosure, I was like trying

0:37

to invest at one point. I I'm not a

0:39

shareholder, but I've always been

0:41

intrigued by what you're doing on the

0:44

margin sometimes concerned. And it seems

0:47

like you've been so successful with

0:49

Block, which does safety cameras,

0:52

license plate readers specifically.

0:53

We're going to get into all the details

0:54

today, but in the last year because of

0:57

the tremendous success of Flock, it has

1:00

been adopted in many communities. We're

1:03

going to get into that. And it's had a

1:04

really great impact at reducing crime.

1:08

We'll get into that. But there is now a

1:11

group of people who maybe are have

1:13

privacy concerns. And you and I have

1:15

talked over the years, and we're going

1:17

to get into it. We're going to go right

1:18

at the controversies and everything and

1:21

this grand debate we're going to have.

1:22

How much privacy am I going to give up

1:24

to get safety? And and it's really

1:26

interesting to me that there's been so

1:29

much energy on this recently because

1:31

when I see that kind of energy as an

1:33

investor um or as a podcast host here on

1:36

the world's greatest moderator TM, I

1:38

know there's something at stake.

1:43

>> App started with an $8 domain and no VC

1:46

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to launch your first campaign today. I'm

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going all [music] in.

2:18

>> Tell us a little bit about flock safety

2:20

and how many communities you're in now

2:24

and then also the drone component

2:26

because people know the license plate

2:28

readers, maybe they don't know the

2:29

drones. So, let's just get that

2:30

footprint and build a mental model for

2:32

the audience here.

2:33

>> That's great. Yeah, Jason, thanks for

2:35

having me. Um, so I started the company

2:36

nine years ago with a pretty simple

2:38

mission, which is to live in a safer

2:40

neighborhood. And that was our initial

2:42

pitch. You know, if you look at our

2:44

first two or three years in business, it

2:46

was just neighborhoods. We sold a

2:47

neighborhood, so we sold a license plate

2:49

reading camera, which is pretty basic

2:52

technology. A car drives by. We take a

2:54

still image of vehicle. We read the

2:56

license plate. And the system's gotten

2:58

more sophisticated with time. We can

3:00

detect things like a roof rack or a

3:02

bumper sticker or dent or damage, but

3:05

that's at at its core what the

3:06

technology does. And if you look at like

3:08

last year, to your point, we've had a

3:10

tremendous impact on the country. um

3:12

north of a million crimes solved using

3:15

Flock. North of 10,000 people found who

3:18

were missing. And that's everything from

3:19

our grandparents with dementia to our

3:22

children. Like just last week in

3:23

Atlanta, there was a stolen car that

3:25

happened to have a 2-year-old in the

3:27

back seat. And thankfully, because of

3:30

very hard work by Atlanta Police

3:32

Department and our cameras, that little

3:33

kid was safely returned within the hour.

3:36

I don't know what that would have

3:37

happened if without Flock. A and that's

3:40

one story, but that's my own city last

3:42

week. And you [clears throat] look at

3:43

July as a, you know, as a data point,

3:46

last month it was about 1,125

3:50

missing people and over 20,000 stolen

3:52

cars. And those are the cars we use to

3:54

drive our kids to school, to drive to

3:56

work. And so we're in, you know, roughly

3:58

six, you know, just over 6,000 or so

4:01

cities um across the country. And it and

4:04

that the consequence, you know, of being

4:06

that consequential is people have a lot

4:08

of questions and people have a lot of

4:09

debates. And I think it's a it's a

4:11

worthwhile thing to talk about what kind

4:13

of society do we want to live in? I want

4:15

to live in one where we're safer. Um,

4:17

and I want to keep my privacy while I do

4:19

it. But that is hard. You know, to find

4:20

that balance is not easy.

4:22

>> I remember when we had our first

4:24

discussion, gosh, so many years ago on

4:25

this week in startups, we were talking

4:28

about it and I had brought up this, you

4:30

know, hey, well, what happens about

4:31

abuse in the system? Because once in a

4:32

while you get a dirty cop. If you watch

4:34

any kind of procedural TV, you watch Law

4:36

and Order, you watch the Sopranos, the

4:38

Sopran, you know, Tony Sopranos got a

4:40

dirty cop who's,

4:41

>> you know, you know, in the hole for, you

4:44

know, some gambling debt and they run

4:46

license plates for them, right? This is

4:47

like a trope on the news. And it's a

4:50

trope because it's common,

4:53

>> not like on a percentage basis, but we

4:55

all know that any system that records

4:58

data could be abused. We saw it at

5:00

Facebook. You had engineers there

5:02

famously stalking their ex

5:06

>> and like reading their unencrypted

5:09

messages and the industry had to make a

5:11

lot of changes. So I remember at the

5:13

time you were telling me, hey, the

5:15

settings and this is where we're going

5:16

to get really granular today. The

5:18

settings are set by the local community

5:20

and these cameras are installed by a

5:22

local community. The communities I've

5:24

lived in have had them. So let's answer

5:27

these two questions. Number one, how

5:30

does a community wind up having flock

5:33

cameras installed? What's that decision

5:36

making process like typically? And then

5:38

we'll get into very granularly what

5:40

you're recording, for how long, who has

5:43

access, the audit logs, and then what's

5:47

not recorded.

5:48

>> Yep. No, that's a it's a great question.

5:50

So, you know, one one of the reasons uh

5:53

Jason we struggled so much to raise

5:55

money as a business is because it is

5:58

traditionally and was for flock very

6:00

hard to get contracts done with local

6:02

government. You know, the the last

6:04

company to go public that serviced local

6:06

government was over 20 years ago. Um,

6:10

this is a really hard space because city

6:12

councils have the final decision

6:14

>> and so every two weeks a city council

6:17

meets and they're, you know, the city

6:19

managers, direct reports, be it a police

6:21

chief, a fire chief, uh, public works,

6:24

presents ideas, presents, uh, concepts

6:27

they would like to get approval for. And

6:29

Flock is on that list. And so I think

6:31

last year we went, we went to something

6:33

close to 10,000 city council meetings as

6:35

a business. I have a huge team whose

6:38

entire job is just going to city council

6:39

meetings explaining what flock does and

6:41

what flock doesn't do. Um and and it's

6:44

just a it's just the cost of doing

6:45

business with local government. Um so

6:47

it's really straightforward. Um and I

6:49

was actually talking to the chief our

6:50

first ever police chief down in Jersey

6:52

Village, Texas. I was talking to him a

6:53

couple weeks ago and like that video

6:56

that council vote six years ago is still

6:59

public record.

7:00

>> Yes. City council meetings are famously

7:03

recorded.

7:04

>> It's tough. It's a wacky environment.

7:06

>> It it is it is it can be particularly

7:09

wacky and but we we go right because we

7:11

want people to know what they're buying

7:12

and so they they buy the product and you

7:15

know what has been true for the last

7:17

nine years um is we we've always said

7:20

this is this data is a liability to an

7:22

asset. You should have a set retention

7:24

period and that retention period for how

7:27

long this data will be stored is going

7:29

to determine the efficacy of the

7:30

product. And so if you delete this data

7:33

in a day or two, it's going to be less

7:35

effective. It's still going to be better

7:36

than nothing. And if you hold this for

7:38

30 days, it's going to be pretty

7:39

effective. And you hold it for a year,

7:40

it'd be more effective. And we always

7:42

believed city councils should have that

7:44

final say for how long they want to

7:46

store it and who they want to share it

7:48

with. And so for the longest time, 30

7:51

days was our default. We've recently

7:52

shifted that down to 7 days. Um we think

7:55

that's a reasonable trade-off, but we

7:57

still think cities should should decide

7:59

um or states for that matter. But

8:01

someone who is democratically elected

8:03

should have the final decision of how

8:05

this technology works in their

8:06

community. But what I think you probably

8:08

agree with as a technology provider, we

8:10

have to set strong defaults. We default

8:12

matter is what we say in the industry.

8:15

Yes. And you know if you think about the

8:17

number of crimes of a hundred crimes,

8:20

how many would and I'm sure you have

8:22

some idea of this. If we have a hundred

8:25

crimes that occurred of whatever the

8:26

nature are, how many are solved with

8:29

seven days of data, 30 days of data or

8:33

require more than 30 days of do you have

8:35

that?

8:36

>> We have a we have a good sense, right? I

8:38

mean, I'm going to give you an aggregate

8:39

data point across the whole country.

8:42

>> We think 90% of crimes will get solved

8:44

within seven days of data retention.

8:46

>> Beautiful.

8:47

>> It is, Jason. But I would tell you I I I

8:49

probably talked to two or 300 police

8:51

chiefs this week and and they remind me

8:53

and and I tell them you should tell your

8:54

city council this too.

8:55

>> Yeah.

8:56

>> The 10% we're talking about or the 10%

8:58

you read about in the news though.

9:00

>> Oh, right. It's the it's the homicide

9:03

that there was never a 911 call because

9:05

someone was killed and it takes five

9:08

days to discover the body because of a

9:09

welfare check and then it's it's a

9:11

complicated case or it's look and I'm

9:13

sorry to you know go to this topic. It's

9:16

a rape victim who felt guilt, who felt

9:18

shame, and she didn't call 911 until a

9:21

week later because she wasn't ready.

9:24

>> Yes.

9:24

>> And that's real life, right? Like I I

9:25

deal with this every day, so I'm

9:27

probably less sensitive to it. But these

9:29

victims deserve privacy. They deserve

9:32

accountability for the people who attack

9:34

them

9:35

>> to even identify the crime. So what

9:37

you're saying is now would 30 days of

9:41

the 10% remaining that you know we're

9:43

just ballparking here

9:44

>> but that last 10% how many of those

9:47

>> out of 10 would be resolved with 30 days

9:50

of data? We think the majority and look

9:52

we're not going to lose we're not gonna

9:54

we're not going to tell cities how to

9:56

run themselves and to be clear you know

9:59

there's states like New Jersey where

10:00

state law is 5 years and so every

10:02

customer holds it for 5 years in the

10:04

state of California there's a max

10:06

retention in the state of Washington you

10:08

know most states have now adopted

10:10

regulation

10:12

>> and they set a maximum limit but I think

10:14

for me Jason what's important more than

10:17

my just default is making sure city

10:20

councilor s and mayors are educated that

10:22

they have control. They can make this

10:25

choice and they should actually go spend

10:26

time with their police chief and figure

10:28

out what does he or she think is the

10:30

best for that community. And I think

10:32

look, there's some communities who are

10:34

going to push for two days or three

10:36

days. And I think that's that's so much

10:37

better than nothing because that Amber

10:39

Alert and that silver alert, which are

10:40

the things we all lose sleep over, y

10:42

>> they're still going to get solved, too.

10:45

>> I literally lose sleep over. I got one

10:46

at 2 in the morning the other day and

10:49

you know I wake up, I read it. I'm like

10:50

I'm not I don't know what I'm going to

10:52

do with this data at 2 a.m. I'm in bed.

10:54

But okay, so this seems completely fair.

10:57

Um in terms of how you're expressing it.

10:59

>> Um and to be clear, when I had you on

11:02

Twist back in the day, I was like, well,

11:04

don't you need to know who's in the

11:06

driver's seat and wouldn't you want to

11:07

get a picture of the windshield? And I

11:10

was kind of finding myself advocating in

11:12

my community, hey, I would be okay just

11:15

as Jay Cal the dad and somebody who

11:18

sometimes on the margins has some, you

11:20

know, privacy security issues. They're

11:22

not acute like for for, you know, I

11:24

don't know, Sam Alman tragically and and

11:27

what's happened at his house twice, you

11:29

know, but

11:29

>> I have my own security cameras. I use uh

11:33

Unity. It's incredible.

11:34

>> Great product.

11:35

>> And I have a license plate reader on

11:37

mine. I have facial recognition on my

11:40

semi-private property. Of course, some

11:42

of it does look out on public roads

11:44

because I have access roads. So, I am

11:47

technically able to record the license

11:49

plate of everybody who drives by the

11:50

front of my house. I think that's legal

11:52

to do here in Austin.

11:53

>> Yes, it is legal.

11:54

>> So, are there communities that are using

11:59

other systems that are not flock and

12:02

recording every single person in and

12:05

out? Because when I go in and out of

12:06

private communities once in a while, I

12:08

see there's four or five cameras. I know

12:09

I'm on camera. So, aren't people already

12:13

doing full video in their communities,

12:16

not using?

12:17

>> Yeah. No, Jason, you're spot on. I mean,

12:20

we don't do facial recognition. We don't

12:21

capture video. Um, we don't look inside

12:24

the car. Um, we don't even allow in our

12:27

system to search for people um for our

12:30

license cameras. And that's in direct

12:32

conflict with some of our biggest

12:34

competitors who do all of the things I

12:36

just mentioned.

12:37

>> And unfortunately um or fortunately,

12:40

we've been very successful. And as kind

12:43

of the industry leader, the spotlight's

12:45

on us. And and that's okay because my

12:47

hope is the changes we're making, the

12:49

changes we'll continue to make will

12:50

force the rest of the industry to follow

12:52

suit. And I hope counselors ask

12:54

questions of the systems they have if

12:55

it's not flock. And maybe they'll switch

12:57

to Flock if they want a privacy first

12:59

solution. And you guys have had a bit of

13:03

a communication challenge. People were

13:06

ripping down the cameras. There's an,

13:08

you know, people care about privacy. Not

13:10

just here in the United States, by the

13:11

way. In the UK, people are ripping down

13:13

cameras. There are a group of people who

13:15

are entitled to this opinion. And I

13:17

share it on the margins. When I had

13:20

children, it changed dramatically

13:22

because number one for me is security.

13:25

I'm willing to give up my license plate

13:26

data. If somebody knows my exact

13:28

whereabouts for 30 days of my license

13:30

plates, I'm okay with that

13:32

>> because I have children and I'm okay

13:35

with giving up that amount to privacy. I

13:37

would be a little concerned, I think,

13:38

with the um with facial recognition if

13:41

I'm being totally honest.

13:42

>> But, you know, it's kind of a moving

13:44

target. And I guess the reaction you

13:48

guys had was, and I think I I had talked

13:50

to you about this, is you called them

13:51

terrorists, like the people taking the

13:53

cameras down and you know, this kind of

13:55

thing. Where does this audience who's

13:57

ripping down cameras? I mean, they're

13:59

obviously not terrorists. Um, I think

14:01

they're like activists, I would say,

14:04

would be a better descriptor. Um, but

14:07

you guys haven't communicated this

14:09

perfectly in my opinion. Correct. So,

14:11

where are people coming to you with

14:14

valid concerns? Yeah.

14:15

>> And then how have you evolved your

14:17

ability to communicate what you're

14:19

doing? And that's one of the reasons I

14:20

wanted to have you on this is because I

14:21

looked at and I was like, I don't think

14:23

you're doing a particularly good job of

14:24

communicating this. And I also think the

14:26

people who are ripping down the cameras,

14:29

they think they're in a surveillance

14:30

state with permanent records and facial

14:33

recognition. So I think they don't

14:34

actually understand that the nuances and

14:36

contours of the product. So talk about

14:38

where you got it right, where you got it

14:39

wrong, and how you've evolved in

14:41

communication.

14:42

>> Yeah. No. And look, I'm far from

14:44

perfect. And I've made my fair fair

14:46

share of mistakes over the last year and

14:48

good god, over the last decade, I

14:50

couldn't even I tried to write it down

14:51

one time and the list got pretty long

14:53

and I was like, this isn't helping me

14:54

move forward. I'm just going to I'm

14:56

going to keep focus on what I need to do

14:57

in the future. I mean, to your point on

14:59

vandalism, it's pretty sad because these

15:01

individuals are getting kind of um

15:05

amped up from on TikTok and on Instagram

15:08

to go take action. And I don't know if

15:11

they realize they're committing a

15:12

felony,

15:13

>> you know, and and I saw this individual

15:15

who just got got arrested in I think it

15:18

was either Ohio or Illinois. And Jason,

15:21

he he's he's facing like 15 to 20 years

15:23

in jail.

15:25

>> And I'm thinking I I feel horrible,

15:27

right? It's like I I don't think he I

15:29

hope maybe he realized it, but what if

15:31

he didn't? And and the person who's on

15:33

TikTok or Instagram that's pushing this,

15:35

they're not they're not the ones cutting

15:36

these things down. They're not the ones.

15:37

They're just they're they're doing this

15:39

for likes and views and you know that I

15:42

I don't like. Right. Because when that

15:44

camera is cut down and there's that

15:46

Amber Alert, it's not going to work.

15:49

>> Yeah. And and that and that, you know, I

15:51

still don't have a lot of space in my

15:53

heart for people who choose to commit a

15:55

felony versus go to city council and and

15:58

scream and fight for what they believe

16:00

in. That that is

16:01

>> they join. They could join city council.

16:03

And there have been uh a number of

16:07

cities that have decided to take flock

16:10

down. Am I am I correct? And the

16:12

backlash has caused that. And you're

16:13

okay with that if that's the community's

16:15

choice. I would assume.

16:16

>> Yeah. Yeah. And it's it's obviously

16:18

disheartening when a city chooses to be

16:19

less safe. You know, that that's tough

16:21

to to hear when there's so many other

16:23

options to reduce the efficacy of the

16:26

product versus just take them out. Um,

16:29

you know, to me, the individuals who

16:31

only look at privacy or only look at

16:33

safety are both on the wrong side of the

16:35

equation. Like, we've got to find a

16:37

common ground. That's the the point of

16:39

the democratic process is common ground

16:41

on complicated problems. And I think

16:43

safety is up there on Marlo's hierarchy

16:46

of like things we have to do for our

16:48

community.

16:49

>> It's one of the most fundamental things

16:50

that I believe our government owes us is

16:53

an equal level of safety. And today,

16:56

depending on the color of your skin, the

16:58

and your wealth level and your race,

17:00

sorry, and your sex determines how safe

17:02

you feel. Women feel less safe than men.

17:05

That's a fact.

17:06

>> Sure.

17:06

>> But minorities feel less safe than you

17:08

and me. That's a fact. If you live in a

17:11

a less affluent city and a less affluent

17:13

part of a city, you feel less safe. And

17:16

I think our government has an obligation

17:18

to make us all safe. And that's what

17:20

we're trying to do. And you'll notice

17:23

>> what are the what are the privacy folks?

17:25

Where do you find common ground with

17:27

them?

17:28

>> And where do you feel obviously

17:30

vandalism is an easy one. Okay,

17:31

>> that's an easy one. Yeah,

17:32

>> that's an easy one. But there's a nuance

17:34

here like, hey, I didn't opt into this.

17:37

I don't want my license plate in there.

17:38

Is there an ability for them to opt out?

17:40

And

17:42

>> what is the max um now for the the

17:46

amount that's saved? And then really,

17:48

this is a very nuance point. What's the

17:50

audit trail here? If there's a dirty cop

17:52

as described who's into Tony Soprano for

17:55

a hundred dimes for his betting on NFL

17:57

games and he wants to give the mob or

18:01

somebody like a bunch of license plate

18:03

data from flock, what's to stop the

18:05

dirty come? What's to stop

18:07

>> this and do false matter? But also like

18:10

>> yeah,

18:11

>> what's the largest window people can use

18:13

today on Flock?

18:15

>> Let's let's let's hit on the abuse thing

18:16

because I think that's something that

18:18

you know I was called naive. I

18:20

[clears throat] I would say maybe

18:21

optimistic. You know, I grew up in

18:22

Atlanta. I trusted the police. I've

18:24

always trusted the Atlanta Police

18:26

Department. And you know, over the last

18:28

year, I've spent a lot of time talking

18:29

to people who don't like Flock.

18:32

>> And I I finally got to the bottom of it

18:34

because I was like, why do you why do

18:36

you hate this company so much? We sell a

18:38

camera.

18:38

>> Um and I realized this woman was like,

18:41

Garrett, I I don't trust the police at

18:44

all. And I was like, ah, that that's the

18:46

root issue. And I was like, but why? And

18:49

she was like, "They lie, they cheat,

18:51

they steal. I don't trust any of them."

18:52

And I'm like, "Okay, man. What if you're

18:55

what if you're right, I'm wrong." Um,

18:57

and so,

18:58

>> and that might be the case for her.

19:01

>> Yeah, she's right. There have been many

19:02

cases of police departments that have

19:05

subverted, you know, even the wearable

19:08

cameras. They turn them off. I mean, we

19:10

have ICE agents wearing masks and no

19:12

numbers. So, the public,

19:13

>> this is rightfully concerned.

19:15

>> It's rightfully concerned. and they're

19:17

bundling you as their partner. Now I get

19:19

it.

19:20

>> Now that's where they have a valid

19:21

concern.

19:22

>> Yes. And so we said, you know, it's

19:24

interesting and I think if you make it a

19:26

more macro topic, anyone in a position

19:29

of power, there's a higher likelihood of

19:31

abuse. Look at CEOs, look at elected

19:33

officials, look at police. When you're

19:35

in power, abuse tends to follow not too

19:37

far behind. And so when we met, you

19:40

know, six or seven years ago, we had the

19:41

audit log. And my assumption was like,

19:43

this is good enough. This is what most

19:45

police systems do is they have this

19:47

audit log. But what I didn't realize is

19:49

he was meeting with a large agency in

19:50

Southern California and they've got

19:52

something like a thousand officers a day

19:53

that use Flock and imagine they're doing

19:56

five or six searches a day.

19:58

>> And imagine on once a month someone one

20:00

person is supposed to review that log.

20:03

>> Yeah. So they're going to spot check 10

20:05

or 10 or 20 searches which is the best

20:07

they can do and then move on. And so we

20:09

built four months ago, we built this new

20:10

tool called audit assistance because,

20:12

you know, we solved a million crimes

20:14

last year. So we have a pretty good

20:15

pretty good sense for what normal usage

20:17

looks like. And then we had about, you

20:20

know, just under a dozen abuses over the

20:23

last eight years that we had detected

20:25

and said, but we also kind of know what

20:26

abuse looks like.

20:28

>> Tell us what does abuse look like?

20:29

>> So here's a good example. Um, this is

20:32

the easiest one. Let's say you're an

20:34

officer and you'll say you're trying to

20:37

stalk me. You would look for me. You'd

20:39

say, "I'm looking for Garrett's car.

20:40

It's ABC124." And you'd search for it

20:42

and kind of figure out where it is. And

20:44

then the next day, you'd search for me

20:45

again. And then the next day, you'd

20:46

search for me again. That's very

20:48

abnormal. If you were truly trying to

20:50

find me because I committed a crime, you

20:53

would have put my tag on the hot list so

20:55

that anyone else in the police

20:56

department would have been also notified

20:59

because you might be asleep, you might

21:00

be off shift because I'm a criminal. So,

21:02

everyone has a right. Everyone's trying

21:04

to find me. If you're stalking me, you

21:06

don't want anyone else to know what's

21:07

happening.

21:08

And so that's maybe that's the easiest

21:09

one we can flag. But so we built this

21:11

tool four months ago. We kind of put it

21:13

out there not knowing is it going to

21:15

work well? How how how how good is it?

21:18

How much signal noise? And so you've

21:20

seen the headlines over the last few

21:21

weeks. We've caught a lot of bad cops

21:25

and and a ton.

21:27

>> Yeah.

21:27

>> Yeah. And it's it's a ton. It's it's

21:29

more than I ever would hoped. Um, and

21:31

you look at my home state here in

21:32

Georgia where, you know, some of our

21:34

customers have been with us for years.

21:36

And I have to give those chiefs an

21:38

applaud because they're not hiding

21:39

behind it. They're publicly saying, "I

21:42

fired nine officers today, which is

21:44

which is the the most severe offense in

21:46

Georgia for for abusing the system.

21:47

They're out of my police department. I

21:49

don't want them."

21:49

>> Wow.

21:50

>> And I think that's good. And like we

21:51

should be we shouldn't be criticizing

21:53

those guys. We should be saying thank

21:55

you. And who's next? Like who else wants

21:57

to have a clean police department? And

21:58

so we we now are requiring that as a

22:01

mandatory. It's not even a default. It's

22:02

a mandatory feature. You have to have

22:04

turned on. We have to find these bad

22:06

cops and get rid of them. They shouldn't

22:09

have a badge. Amazing. And so this is

22:12

very interesting, I think, because if we

22:15

assume that, you know, let's just pick a

22:17

number, 1% of cops do bad things. Some

22:21

people might think it's all cops, some

22:22

people might think it's 10%.

22:24

>> I'm just gonna say 1%. It it's a very

22:28

small percentage, but as a in a in a

22:31

city with 30 or 40,000 police officers

22:34

like New York City has, I believe, and I

22:36

think Los Angeles 10 15,000 cops,

22:38

>> 1% all of a sudden becomes 100 or 300.

22:42

That's a lot of bad cops. And you have

22:45

set in a way a honeypot for those bad

22:48

cops.

22:49

>> And you know, they probably don't know

22:52

that this is being tracked. My question

22:55

to you is when I make a request, I'm a

22:58

rank and file cop and I go do this. Why

23:01

should rank and file cops be able to do

23:02

this? Shouldn't there be like a higher

23:05

level person who they put the request

23:07

in? Or maybe there could be like a

23:09

supervisor and that supervisor. So it

23:11

says, I'm looking into this case. I

23:13

explain why I'm looking into it. And

23:15

then a senior person like a sergeant on

23:18

duty. They have to say okay, you can run

23:21

that search. And then a third person has

23:24

to look at the sergeants okays and they

23:26

put a note on it. You could also build

23:27

that into the system which is

23:29

>> you know I think like a double key

23:31

system

23:32

>> where two people have to say okay to

23:34

this which now you're a dirty cop you

23:36

got to find a dirty

23:37

>> job. Yeah.

23:39

>> No I think what you're describing um we

23:42

have I can show you the screenshots of

23:44

what it would look like and how it would

23:46

work and it's definitely something

23:47

that's on the whiteboard for how we

23:49

continue to curb abuse. I think the

23:51

challenge we face um and you you've

23:54

dealt with this in your software

23:55

companies. We have some customers who

23:58

have thousands of employees and we have

24:00

some who I was just on the phone with

24:01

the police chief in Texas with 20

24:03

employees.

24:05

>> The burden of what we you and I just

24:07

described would be pretty pretty big for

24:09

him. Um with just 20 officers, he's also

24:12

not using the product every day. He

24:13

doesn't need to. There's only count of

24:14

2,000 people.

24:15

>> So the audit log is very slim.

24:16

>> Audit log is slim. So he doesn't need

24:18

any of the things we're talking about.

24:19

And so I do think this this is where

24:21

defaults do matter and this might get to

24:23

a level of nuance where okay for big

24:25

cities this is these are the rules for

24:27

medium cities these are the rules and

24:28

for small towns you have different rules

24:32

no different than theirmies to become a

24:34

police police officer in New York City

24:36

is harder it's a longer academy than to

24:38

be a police officer in a small town

24:40

because there's just different

24:40

expectations so yeah you're spot on

24:42

we're not done like I think abuse is a

24:44

problem that's industrywide it's not

24:47

just a flock thing

24:48

>> yeah And you look at like California,

24:50

you know, there was 7,000 reported

24:52

abuses of their state database last

24:54

year. 7,000

24:55

>> 7,000 of the state database. Yeah. Which

24:57

means you should have some percentage of

24:59

that in your system. And I saw the

25:01

Washington Post did a story on this. And

25:03

so the company's evolving and reacting

25:06

to that. And so you are responsible now

25:09

as a technology provider with the worst

25:11

behaviors of your customers. And so the

25:14

lesson there is even if you want to say

25:17

hey we just sell a tool the reality of

25:19

running this company since it is uh you

25:22

know people have to give up some level

25:24

of privacy to get that security you

25:27

actually have to own it there's just no

25:28

choice and I think previously your

25:30

approach was hey it's a tool do with it

25:32

what you will you made that choice

25:35

>> which is not exactly an unreasonable

25:37

thing to say people sell laptops and

25:39

cameras and guns to a local police

25:42

department they send tasers to a local

25:43

police department. We don't say to the

25:45

taser company, "Hey, you're responsible

25:47

when somebody gets tased." And it was an

25:49

inappropriate tase. It was an

25:51

unjustified

25:52

>> taser. But here we are. This is

25:55

different. This is qualitatively

25:56

different because America and Americans

25:59

really value privacy.

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26:37

[music]

26:38

to your point, our our I think our view,

26:41

my view of our responsibility has

26:43

evolved.

26:44

>> Um, now I would prefer if every elected

26:47

official understood how all this

26:48

technology worked perfectly

26:50

>> and made decisions that represented

26:51

their community values. I don't think

26:53

that's a reasonable expectation because

26:55

that means they also need to know

26:56

everything about data centers. They need

26:58

to know everything about water works.

27:00

like they're relying on their police

27:01

chief

27:02

>> to tell them what is best

27:04

>> and that chief's relying on me to

27:06

educate him on what I think is best.

27:08

>> And so I do think the responsib

27:10

responsibility falls on us to give those

27:12

strong defaults and then allow them to

27:15

pivot against it. Um and still respect

27:17

the democratic process but focus on the

27:19

defaults.

27:20

>> Yeah. And as the lead candidate, you're

27:23

going to take the arrows. But there's

27:24

other people. My friend Jamie Simonoff,

27:26

who's an incredible entrepreneur,

27:27

>> great entrepreneur

27:28

>> and a dear friend of mine for many

27:29

decades. He has Ring famously, and

27:32

during the Super Bowl, he did this thing

27:34

like, "Hey, with Ring cameras, and I

27:35

guess I don't know if they're considered

27:36

your number one competitor because they

27:38

sell to individuals and then allow the

27:41

data to be used by police if people opt

27:43

into that, which is an [clears throat]

27:45

individual's right."

27:46

>> They were like, "Hey, we can find a lost

27:47

dog." And and people lost their mind

27:49

over that because they were like, "Hey,

27:51

>> if you can find a lost dog, then you

27:54

can, you know, have somebody stalking

27:56

what whatever people's valid concerns

27:58

are." And they had to turn that feature

28:01

off is my understanding after releasing

28:04

it.

28:04

>> Yeah. Know, I've I've I've known Jamie

28:06

for a long time as well. I don't think

28:08

they're a competitor. I'd say they're a

28:09

friendly. We have the same mission,

28:11

which is to build safer communities in

28:13

America. and and I think him and I have

28:15

learned a lot over the last year of you

28:16

know maybe underestimating people's

28:18

concerns with how technology could

28:21

impact them um and needing to maybe go

28:23

slower in some cases like we you know we

28:25

haven't gotten into the AI topic but

28:26

it's an area where I think we're doing

28:28

it smarter now because there's a version

28:30

of flock where we would have just ripped

28:32

and launched AI feature after AI feature

28:34

and said this is awesome and we're going

28:37

intentionally really slow

28:39

what is the opportunity and the concern

28:42

with AI give us the practical, you know,

28:46

um, you know, in if we were in a police

28:48

state, if it was China and they're using

28:51

this like the CCP has a a literal police

28:55

state, that's very triggering for

28:57

Americans because they see that then

28:58

they see flock on this end and ring on

29:00

this end and they say, "Hey, what's the

29:02

distance between these two?"

29:04

>> And AI's the obvious one because they're

29:06

tracking people with facial recognition

29:08

and they're watching their behavior.

29:10

They're like, "This person littered.

29:12

this person raise their voice like it's

29:14

>> pretty gnarly. Yeah, it's very

29:16

different. So tell us about the AI

29:17

features and then what the detective

29:20

wants most because the detective wants

29:22

to close cases

29:24

>> reasonably

29:25

>> and then what you're saying like o gosh

29:27

that would close the case but maybe it's

29:29

too much of a privacy concern.

29:30

>> Yeah. I mean let's talk about a simple

29:32

one that's kind of in debate right now

29:34

which is 911 systems. Um, today, you

29:37

know, when you call Delta, maybe you get

29:39

an AI agent, maybe you get a human, but

29:42

you're booking a flight, so the risk of

29:44

kind of hallucination is pretty low.

29:46

Maybe they book you on the 7 p.m.

29:48

instead of the 4pm, and you're like,

29:49

"What just happened?" But it it's fine.

29:52

>> Imagine someone broke into your home and

29:54

you call 911 and we've now switched over

29:56

our 911 system to an AI bot and it

29:59

starts talking to you about what you had

30:01

for lunch.

30:01

>> Yeah. No good.

30:02

>> No good. and and the risk the risk is so

30:05

high and we have no idea how these

30:08

things work and there's no good way to

30:10

control them. That's a I think that's

30:12

pretty well in sap. And so you see

30:13

cities due to budgetary reasons and due

30:15

to staffing issues kind of leaning in

30:18

pretty aggressively and there's been

30:20

some bad cases where the AI's gotten it

30:23

really really wrong.

30:26

>> And so I think there's a smarter way to

30:27

do it. Like the smarter way to do it it

30:29

would be okay look we're going to we're

30:30

going to have AI but AI is only going to

30:32

pick up when the phone lines are fully

30:34

busy.

30:35

>> Yes. Okay.

30:36

>> So it's like okay that's smarter but

30:37

that's not what's happening. like

30:38

there's a reckless way to do it which is

30:40

just flip a switch or maybe you start

30:41

with just

30:42

>> do you handle 911 systems?

30:44

>> We don't the ind the indust we don't do

30:46

911 calls but I'm watching this unfold

30:49

and I'm going man this is a like this is

30:51

a huge risk. Um I look for

30:54

>> I suppose you could use AI to look at

30:57

patterns and say these are abnormal

31:00

patterns for this car. This car is

31:02

slowly driving up to this house, then

31:05

driving away, slowly drove up to the

31:07

next house, drove away, and it did that

31:09

six times.

31:10

>> Is this somebody delivering a lot of

31:12

burritos, or is this somebody casing the

31:14

joint? Like,

31:15

>> that would be what the detective would

31:17

be like. Hey, yeah, let's get pregs

31:19

here, precognition from Minority Report

31:21

to predict a crime.

31:24

>> Yeah.

31:24

>> Because somebody wants to join. Yeah.

31:26

>> Yeah. That I don't want to do. Like I

31:27

think we've been really we've been

31:29

really consistent that um we never want

31:31

to be a company that defines suspicion.

31:34

>> Um that's really dangerous.

31:36

>> Yeah.

31:36

>> Oh yeah. But it's it's a it's an

31:38

interesting kind of like happy hour

31:40

topic of like what does that world look

31:42

like?

31:43

>> But for us I think there's it's really

31:45

valuable that there's a human in the

31:46

loop when it comes to public safety.

31:48

We're talking about people's lives.

31:49

We're talking about pe people's like

31:51

it's it's really important stuff. So

31:53

>> we always want to have a human in the

31:54

loop. I think there is some some

31:56

products that we could build but the

31:58

difference is like it you know looking

32:01

at knowing the cost of getting it wrong.

32:05

You have to deploy this with third party

32:09

proper attestation that it's that it's

32:12

working as expected. It shouldn't be up

32:14

to me. It shouldn't be up to my

32:15

customers. Someone who actually doesn't

32:17

want this to work should come in and

32:19

say, "Well, guess what? It it does

32:21

actually like this is actually really

32:22

good and it's making officers more

32:24

effective. It's making officers more

32:26

objective, less subjective. Like that

32:29

should be our end goal is that AI is

32:30

used in a way that increases the number

32:33

of crimes they can solve and decreases

32:35

the likelihood if they get the wrong

32:36

person. That that's an easy ideal state.

32:38

And I just don't think we should rush

32:40

there. I think we should be really

32:41

deliberate about how we get there.

32:42

You've lost, I think, dozens uh of

32:45

cities of the 6,000. So, some cities are

32:49

now saying, "Hey, this isn't worth the

32:51

trouble." Or too many people protested.

32:54

Take me through what's happening in the

32:55

last year with those I think it's 60 or

32:58

70 cities maybe out of 6,000 if I got my

33:01

numbers correct. 1% have said, "Okay,

33:03

this isn't for us."

33:04

>> Yeah, it's tough, right? Because uh I

33:07

want everyone to be safe. That's why I

33:08

started the company. Um, and I know what

33:11

they've had and I know the results we've

33:13

had. And unfortunately, the majority of

33:16

the time they're making a decision off

33:18

of misinformation. Um, I remember

33:20

vividly the one of the first customers

33:22

that chose to walk away did so because

33:25

of facial recognition. They went online

33:27

and googled ALPR facial recognition.

33:30

They saw one of our competitors website

33:31

and said, "We're getting rid of this

33:33

flock thing."

33:34

>> They didn't realize they were looking at

33:35

the wrong person's website.

33:37

>> Yeah. And that's tough because like

33:39

that's on me, right? That's on me to

33:40

better communicate to to these decision

33:42

makers that like here's what we do,

33:44

here's what we don't do. Um that's been

33:46

the bulk of it. I think the other thing

33:48

that uh has been tough to see, Jason, is

33:52

>> I saw this one city in in Washington

33:55

just just it's so sad. They turn the

33:59

cameras off. The next weekend, a little

34:02

boy gets shot,

34:05

car drives off. It's gonna be a cold

34:08

case. And luckily, the city next door

34:10

still had Flock cameras, found the car,

34:13

made the arrest, and look the that the

34:17

kid that didn't live, which is horrible.

34:20

>> At least their family knows justice was

34:21

served.

34:22

>> And so, I think we're making really

34:24

consequential decisions on on inaccurate

34:26

information, and that's tough. And I

34:28

just we have to do a better job as a

34:30

company like communicating to our

34:32

customers and their customers customers

34:34

which would be the community about what

34:36

this technology does and what it doesn't

34:37

do. And and for me at least when I when

34:39

I speak to let's call it 99 people out

34:41

of 100 and explain the facts they go

34:44

like why is this a debate?

34:46

>> This feels like we have control as a

34:48

city. We can set limits. We can set

34:49

guard rails. I want to be safer than I

34:52

feel today. I've never met someone who's

34:54

like I want to be less safe. I predict

34:55

as you explain this and you change the

34:59

defaults and the audits get in place and

35:01

the dirty cops get, you know, taken out

35:04

of this that you'll see some number of

35:05

those cities, you know, and the city

35:09

councils readress this when things cool

35:12

down a little bit. And, you know, this

35:13

happened here in, you know, where I live

35:15

now in Austin, Texas. Austin canled

35:18

flock or didn't renew whatever in 2025

35:22

according to my notes. Then we we you

35:24

know people have guns here. I I have a

35:26

gun. I carry a gun. Everybody's got

35:28

guns. And so we had this uh crazy uh

35:31

shooting with a bunch of kids. Uh and it

35:34

was a similar situation to what you're

35:36

describing. They were committing these

35:37

crimes in Austin proper.

35:40

They drove out of Austin and Manor

35:43

Police Department did have flock. They

35:45

picked it up and 28 hours later the

35:48

three teens were arrested and they were

35:51

like juveniles 15, 16 and 17 here

35:53

according to what I'm seeing. And that

35:56

was the wakeup call here and that

35:58

brought it back to the front and now

36:01

everybody's debating it again in Austin.

36:04

Okay, the ACL ACLU wants 48 hours I

36:07

think is their proposal. Okay, that's

36:09

the ACLU.

36:10

>> That's reason. Yeah, that's their that's

36:12

a reasonable stance. This is the privacy

36:14

organizations, privacy organizations,

36:15

civil liberties. We get it.

36:17

>> You know, most cops probably want 30

36:20

days. Communities are going to set it at

36:21

seven or 14 days. That's it. You have

36:24

competitors. Tell me about like the

36:27

competitors approach here and how you

36:28

deal with that as an entrepreneur.

36:30

>> So, are they just saying, "Hey, we're

36:32

just going to sell you the technology

36:33

and we're not going to and we're just

36:34

going to keep our heads down and we'll

36:35

be the uh do they go in and sell

36:37

themselves as a we're flock without

36:39

limits?" So to your earlier point, yeah,

36:40

we've had close to 20 cities already

36:43

turn their cameras back on.

36:44

>> Oh, interesting. Yeah,

36:45

>> because they realize like they are now

36:47

less safe and they have an obligation to

36:49

their constituents

36:51

um to to be safer. And it is it is it is

36:53

tough as an entrepreneur because you

36:55

want to you want to build as big of a

36:57

business as possible, right? But you

36:58

also want to do it in a way that when

37:00

it's all said and done, your kids go,

37:02

I'm so proud to be that guy's son or

37:06

daughter. So you have to make decisions

37:08

that you you you you're going to be

37:10

comfortable with 10 years later. And I'd

37:12

rather lose, you know, I had a lot of

37:14

concerns about requiring, you know,

37:17

accountability for all of our customers,

37:18

knowing very well that I was going to,

37:20

you know, upset a lot of customers

37:22

potentially. And I said to myself, look,

37:24

if a customer doesn't want to be held

37:26

accountable, I don't think I want them

37:27

as a customer. And they can go to one of

37:29

my competitors who doesn't have these

37:31

tools, doesn't have these requirements,

37:32

and that's okay with me because this is

37:35

just business, right? I it's it's just a

37:37

business. Um now it's a business I think

37:39

serving a very important mission but I I

37:42

want to sleep at night and I do today

37:44

and our competitors to your point yes

37:46

they run more reckless they run without

37:49

these tools without the scrutiny and I

37:51

think it's going to catch up to them. It

37:53

will catch up to them eventually.

37:54

>> Yeah. I mean as you are willing to lose

37:58

customers who want the un you know

38:01

tethered system without you know proper

38:04

uh constraints. Yeah. You'll lose some

38:06

of them, but I don't think you want them

38:07

as customers anyway because it's going

38:08

to blow back on you. San Francisco

38:10

famously with these ALPRs. Automated

38:13

license plate something. Automated

38:15

license plate reader. Yeah.

38:17

>> So, the ALPRs you said earlier, you're

38:20

also keeping if there were dents in the

38:22

car or the color of the car or like a

38:24

the make and model of the car. Is that

38:26

right?

38:26

>> Yeah. So, it's pretty it's pretty cool

38:28

technology and pretty effective because

38:30

if you think about what happens on a 911

38:32

call, most people don't instinctively

38:34

look at the license plate and remember

38:35

it. They see the thing that was unique

38:37

about the car. Oh, it had it had a

38:40

damage on the right side. I remember so

38:42

vividly we had this homicide case near

38:45

me in Atlanta and all the person could

38:47

remember was that the back right tire

38:49

was missing a hubcap. M

38:52

>> and so the detectives would go in and

38:54

say, "Okay, show me all the cars in this

38:55

15-minute window that did not have a

38:57

backright hubcap." And that's the

38:58

beginning of an investigation. It's not

38:59

the end of an investigation. That's just

39:01

the the way to get started. And that's

39:03

all they had. And because of that great

39:05

detective, he's like he's I've got to

39:07

know him pretty well because he's like

39:09

he's very good at his job. He worked his

39:11

butt off and and found the found the

39:13

person. Um but that was the start. And

39:15

so yeah, so he's like San Francisco. And

39:18

I I love I saw a tweet uh the other day

39:20

uh which was you know the flock effect

39:23

and it's like crime is down, stolen

39:25

vehicles is down. And look at we we we

39:28

are one small part of a very big

39:30

transformation that's happened in that

39:32

city including stronger elected

39:34

officials, stronger enforcement of the

39:36

law, a strong police chief, a strong DA,

39:38

a community that demands to be safe.

39:40

Like but that's what that's what should

39:42

happen. If you live in San Francisco,

39:44

you deserve to be safe. It's one of the

39:45

best cities in the country. And San

39:47

Francisco

39:48

has a lot of problems and people are

39:52

very libertarian, privacybased, live and

39:54

let live based. It is kind of the

39:57

problem having lived there is that

39:58

people are so openhearted from the

40:01

summer and it literally comes from the

40:02

summer of love and the fact that it was

40:04

a mining town like they just have this

40:07

you know live and let live attitude.

40:09

Obviously, you know, a lot of the

40:11

culture that's emerged there is, hey,

40:12

let your freak flag fly. Do what you

40:14

want to do. Even to the point of, hey,

40:17

you know, if people are stealing, um,

40:19

why are they stealing? Like, what

40:21

happened in their childhood and and

40:23

people there have had enough. the fact

40:25

that San Francisco um and I and I think

40:28

this is the correlation. Do you have the

40:31

ability and do you have the entitlement

40:35

to say I don't need to worry about this

40:37

because I have security at my house. I

40:39

have a security guard. I have a personal

40:42

driver. I have personal security. Which

40:44

by the way, a lot of rich people have

40:45

now some combination of these things at

40:48

a minimum. Like I just described I have

40:50

cameras, I have people, you know, all

40:52

this stuff. And so, you know, you start

40:54

painting that picture. It's it is you

40:57

you have to be extremely aware of your

41:00

own privilege.

41:01

>> Yeah.

41:01

>> That you don't have to deal with crime.

41:03

And man, my brother was a cop during the

41:05

stop, ask, and frisk era in New York.

41:08

>> The statistics during stop, frisk, and

41:10

ask, which was a violation of the fourth

41:13

amendment,

41:14

>> like you're stopping people based on

41:16

like they're hanging out. So, it

41:18

definitely was a little step too far.

41:21

But New York in the 70s and 80s was

41:23

dangerous as hell. Like there were a lot

41:25

of guns on the street. My brother took a

41:26

couple of guns off the street. Cops were

41:28

in a really tough situation. The people

41:30

in the poorest communities were the most

41:33

in favor of stop ask and frisk. They

41:36

always leave out the ask because they're

41:38

like, "Oh, we're just going to stop you

41:39

and frisk you." No, they would stop and

41:40

say, "Hey, what are you up to?" And uh,

41:42

"Hey, you're hanging out in the corner.

41:43

What's going on?" And you know, they

41:45

just try to get a read on people, which

41:47

by the way, if you ever go to Israel or

41:49

you go to some countries, they ask you

41:51

20 questions. Why are you here? Hey, uh,

41:53

you know, where you staying? Like, they

41:55

want to get a read on you, whether

41:56

you're going into Israel or Tokyo. They

41:58

might ask you a couple personal

41:59

questions, which would be offensive to

42:02

Americans. But the correlation was

42:04

really people who experience crime are

42:07

in favor of it. People who live in Pack

42:10

Heights, they don't need to worry about

42:12

this, man. something goes down in Pack

42:13

Heights, there's 20 cops and 50 private

42:16

security guards, you know, rallying

42:17

around one homeless person, one vagrant,

42:21

you know, one person who's in a car that

42:23

doesn't look like it should belong

42:24

there. It's like they're going to get

42:26

swarmed in Pack Heights.

42:27

>> Yep. No, I mean, you hit the nail on the

42:29

head and it's not spoken about as much,

42:31

but it's worth looking at who is so

42:33

against what we do and who is so for it.

42:36

And it's typically people who don't have

42:38

any other way to protect themselves,

42:40

who need this, right? who want this. And

42:43

and for those who have a gate and have a

42:45

guard and have cameras and have a

42:47

security system and they have Jaime's

42:49

incredible doorbell camera, right, and

42:50

they have all these products and these

42:52

services, they're like, "Why does why

42:53

does anyone need to feel any safer?"

42:54

It's like, "Because most people don't

42:56

have any of this stuff and they don't

42:58

feel safe when they go to bed." And

43:00

yeah, it's it's it's quite telling.

43:01

>> I'm rooting for you to get everything

43:03

right and to continue making communities

43:06

safer. I'm also rooting for communities

43:09

to make their own decision. 100%.

43:12

>> I think that is the key part of this

43:14

that people need to embrace as well. If

43:17

you have a if you've chosen to live in a

43:20

gated community, you have made that

43:22

choice for security in all likelihood.

43:25

And if poor people or people who don't

43:29

get to live in a gated community and you

43:31

were to ask, you know, people with a

43:32

family, hey, would you like to live in a

43:34

gated community or would you like to

43:35

live with not in a gated community? Like

43:38

a hundred out of a hundred people. I I

43:40

mean maybe it's 95. I think if you

43:42

offered like the average Joe or Jane,

43:46

hey, would you like to live in a would

43:48

you like your community to be gated with

43:49

three gates and there's a security

43:50

guard? They'd be like, heck yes, but I

43:52

can't afford that. How much is that

43:54

going to cost? So, this is where, you

43:57

know, I think people with children,

44:01

people with homes, they they just have a

44:02

different view of this than maybe when

44:04

you're younger and you can afford to

44:06

say, "Listen, I don't have kids and I

44:07

care about my safety. I care about my

44:10

privacy, not my safety. Yeah. And and I

44:12

understand it. Like I I don't want the

44:14

government to have like a national flock

44:17

database. I don't want the government to

44:19

do facial recognition. I find that like

44:21

a bridge too far.

44:22

>> The license plates for two weeks or 30

44:25

days. I kind of feel okay with it. I'm

44:28

sorry if people are disappointed in me

44:31

for that, but uh as a parent and a you

44:33

know, somebody in a community, I'm okay

44:35

with my community having license plate

44:36

readers for up to 30 days. That's that's

44:38

the decision I came to.

44:39

>> Well, you know, and Jason, I think to

44:40

your point, I I had this interesting

44:42

conversation with um an elected official

44:44

in Illinois who was one of our largest

44:45

antagonists, very anti- flock and really

44:50

sad, really scary. She was the victim of

44:53

political violence. Um someone shot at

44:55

her house and the police used a flot

44:58

camera to find that person

45:00

>> and lo and behold, to her credit, she

45:02

changed. But she did change and she's

45:04

now one of our largest advocates because

45:07

she realizes you don't get to pick when

45:08

you're the victim of violence. You don't

45:10

get to pick. Sometimes it's random.

45:12

Sometimes it's intentional, but everyone

45:14

wants justice

45:16

when something bad happens. And everyone

45:18

wants to know that they're going to be

45:19

safe. And so I think you're right that

45:21

my my hope is that this is these kind of

45:23

conversations actually lead to fruitful

45:24

debates about how we have both um and we

45:28

don't let you necessarily allowed

45:29

minority uh dictate you know us moving

45:32

towards a less safe society. That'd be

45:34

pretty sad.

45:35

>> Yeah. And listen you have been in what I

45:38

would describe as a PR disaster the last

45:40

year over this. How far through the PR

45:44

disaster are you? You've changed a lot

45:45

of the communications. Yeah.

45:47

>> And it is this something Flock can

45:50

recover from or is this like,

45:53

>> you know, company killing? Like, oh my

45:55

god, we're we're screwed. Like, just be

45:57

honest with us about like the PR

45:59

disaster of the last year, how that's

46:01

affected you and how that's informed how

46:04

you, you know, run the company and how

46:07

damaging has it been? You know, I think

46:09

the biggest damage is the internal

46:13

morale, right? Because you go on to X or

46:16

you go on to Reddit and you go, why why

46:18

are people so mad at us when we've been

46:20

doing the same thing for nine years? And

46:22

and why are they so mad at us for things

46:24

we don't do? And we just we just want

46:26

people to be safe. And that's tough,

46:28

right? It's really hard for your your

46:30

your work to be challenged so

46:33

viscerally.

46:34

I think the the interesting part is it's

46:36

brought us closer to our customers, you

46:38

know, because we're because they they

46:40

they have a job to do, which is to keep

46:42

their community safe and they see this

46:43

as one of the the most, if not the most

46:47

critical part of of how [snorts] they do

46:49

their job.

46:49

>> Like there was a chief who was like this

46:51

is the best thing since DNA.

46:52

>> Yeah.

46:53

>> In terms of fighting crime and I agree

46:54

with them. So that's on the good side.

46:56

And I think you know the business is in

46:58

good shape. You know, we raised we

46:59

raised more money at the beginning of

47:00

the year. Uh company's still growing. We

47:02

could be growing faster if we used to

47:04

have zero churn. Now we have, to your

47:06

point, 1%.

47:08

>> Okay. Well, I would like to be back at

47:09

zero. And I'm going to fight as hard as

47:11

I can to get the right message out

47:13

there. To your point, communicate

47:15

better, listen more. Um, and I think if

47:18

we do that, we're going to be just fine

47:19

because at the end of the day, everyone

47:21

wants to be safe. That hasn't changed.

47:23

And that will probably never change.

47:24

Just like everyone wants to have food,

47:26

everyone wants to have a roof. Uh, those

47:28

are just these core needs.

47:29

>> As Maslo's hierarch needs, safety is up

47:31

there. And it's, you know, I think for

47:34

your company, like you're going to just

47:36

have to lead and you're going to have to

47:38

be ahead of these things. And I, you

47:39

know, I look at Zuckerberg and Facebook,

47:42

>> they've always been playing defense and

47:44

catchup on the impact that, let's say,

47:47

Instagram had on young teens and eating

47:51

disorders and addiction to social media.

47:54

uh X and Twitter had like political, you

47:58

know, nonsense and like people trying to

48:00

subvert democracy. Like all of these

48:02

social networks had a a serious downside

48:05

that's now been quantified, etc. It

48:07

would have been so much better if he was

48:08

ahead of it and said, "Listen, I have

48:10

kids.

48:10

>> I understand where you're coming from. I

48:12

think there should be an age gate." And

48:14

he just wrote that manifesto last week

48:15

and I'll give him credit because I think

48:17

he was looking at it saying there are

48:19

obviously selfish business needs. he

48:21

wants to be part of the AI revolution,

48:22

but I think he was also identifying and

48:25

trying to get ahead of and show some

48:27

empathy for, hey, yeah, you you could

48:29

lose your job because of AI. Here's how

48:31

I think if you use the tools, you

48:33

wouldn't lose your your your job. And if

48:36

you have open source and it's available

48:37

to everybody, not just the rich, and we

48:40

give you agents and free AI that other

48:43

people are paying thousands of dollars a

48:44

month for, hey, maybe that levels the

48:46

playing field. And I think that's what

48:47

CEOs have to do right now in this media

48:50

saturated.

48:51

>> You know, a story can just go viral so

48:55

fast and you got to just get ahead of it

48:56

and anticipate these things and own them

48:58

and just be frank about it. Tucker

49:00

Carlson demolished you last week. Have

49:02

you have you reached out to Tucker to go

49:04

on his pod?

49:05

>> No, I don't you know I don't know if if

49:07

if that's something that's in my my deck

49:09

of cards, but uh no, I appreciate it. I

49:11

I like that. Uh you know, I do like

49:13

t-shirts, I guess, is what I'd say. Uh I

49:15

wear t-shirts. I I got I put a polo on

49:17

for you. I thought a collar would be

49:19

appropriate, but

49:20

>> I wear a polo, too, in the hot.

49:22

>> Yeah, you look you look great. Yeah, you

49:23

look great. But no, I think look, we we

49:25

want to we were on the Today Show this

49:26

morning. We're on Good Morning America.

49:28

We want to go to places where the

49:29

community listens and we want to have

49:31

meaningful conversations and uh yeah,

49:34

we're not done. We got a we got a long

49:35

road ahead of us and I think, you know,

49:37

we didn't get to drones yet.

49:39

>> So, how did they Yeah, that's how they

49:42

drones. So drones is probably our

49:43

fastest growing business unit right now.

49:46

You know, our LPR business is just under

49:47

50% kind of of our forward-looking

49:49

revenue. Um, so it's a big part of our

49:52

business, but we've got drones, we've

49:54

got live video cameras, we've got some

49:55

really cool software. And you know, I

49:57

think the story I share with you about

49:59

drones, which is one of my favorite

50:00

stories, is so these drones live um in a

50:03

kind of a HVAC control box, a dock, per

50:06

se, on top of a roof, typically like a

50:08

police precinct or a fire department.

50:10

And when a 911 call happens, instead of

50:12

sending an officer first, you can send a

50:14

drone. And so there's this really

50:16

interesting case not too far from you up

50:17

in the Dallas Fort Worth area where a

50:20

woman, you know, at late at night at a

50:21

gas station called 911 and said,

50:23

"There's a man walking back and forth

50:25

with a gun. I don't feel safe." Um,

50:27

which obviously it's not illegal to to

50:29

garnish a weapon in the state of Texas,

50:32

but she was scared. Right. And

50:33

>> well, you can wear one, but you can't be

50:35

waving it around.

50:36

>> Yeah. And he was fair enough. Fair

50:37

enough. Yeah. And and so she called 911.

50:40

And normally what would happen, right,

50:41

is like one cop would have heard that,

50:44

flip on the blue lights, race down

50:45

there, their hearts racing, he's got his

50:47

gun ready, and someone's about to die.

50:50

>> Instead, they launch the drone. The

50:51

drone's at 400 feet, flying 60 miles an

50:54

hour, so it gets there in under a minute

50:56

>> as the crow flies.

50:57

>> Yep. And it's got a 40x optical zoom, so

50:59

it zooms all the way in.

51:02

It's not a gun. It's a lighter. It's one

51:05

of those toy like lighter things.

51:07

>> Yeah.

51:08

>> That call the woman back and say, "Hey,

51:09

ma'am, it's just a lighter. You're

51:10

okay." And I share that story because so

51:12

much of my businesses have related

51:14

around solving crime, but it's more than

51:15

crime. It's about safety. It's like,

51:17

"How do we help the community feel

51:18

safe?" And this is an example where like

51:20

we demitated, we mitigated what would

51:22

have been a really bad situation for

51:24

everyone. And we have thousands and

51:26

thousands of stories like that where

51:28

communities are safer now with our

51:29

drones. They're safer with our cameras.

51:31

And to your earlier point, we just got

51:32

to do a better job communicating how it

51:34

all works. And we got to teach our

51:35

customers how to do that, too. Um

51:37

because we're only one company. We got

51:39

thousands and thousands of customers. We

51:40

we need their help too and telling the

51:42

story.

51:42

>> Yeah. I think that the new tool you're

51:44

talking about with the audit trail, um I

51:46

think that has great potential. I think

51:48

a third-party auditor, so if you sell

51:50

the system, it can come with thirdparty

51:53

auditing. You know, people use Ernston

51:54

Young or whatever to audit books. What's

51:56

the equivalent here of an auditor that

51:58

would say, "Hey, the drone got launched.

52:01

this isn't a dirty cop sending a drone

52:05

to stalk their ex you know spouse uh or

52:09

you know break somebody's privacy and

52:11

we're just going to review in real time

52:13

slash whatever every drone flight

52:16

because that's now you start sending

52:17

drones Tucker's going to look at that or

52:19

ACLU is going to look at that and say

52:21

okay so now you're like peeking in my

52:23

window so there's got to be massive

52:25

safeguards on the drone getting deployed

52:27

is it only deployed if there's a 911

52:29

call is that the

52:30

>> this is the next big like chapter for

52:33

law enforcement is is doing a better job

52:36

implementing drones than they've done

52:38

with historical products because you

52:39

look at something like body cameras and

52:41

I'm not sure how much you follow this

52:42

there was massive outrage on body

52:44

cameras and now it's like wait a second

52:45

this actually really good it's a better

52:47

tool and and same with non-lethal

52:48

weapons um and so no we we there's still

52:51

more work to do there and to your point

52:52

on the third party auditors you know one

52:54

you've got a city manager

52:56

>> that is effectively his or her job is to

52:58

hold the police chief accountable

53:00

>> and they can the audit logs. They can go

53:02

in there themselves.

53:02

>> They can see all the logs. Yeah. They

53:04

can see the audit logs. They can also

53:05

see the flight patterns. So, most of our

53:06

customers have a transparency portal. It

53:09

has the audit log. It has how many

53:10

cameras they have. It has their drones.

53:12

It has their drone flights. Now, there's

53:13

a lag, right? We want a delay. Um,

53:18

chasing to the crime,

53:19

>> an active criminal investigation. Yeah.

53:21

So there's a lag, but I I look at that

53:22

in and what's going to be hard for our

53:24

customers is getting comfortable with

53:27

this ever growing expectation of both

53:29

transparency and accountability.

53:31

>> Yeah.

53:31

>> And we're going to push them. We're

53:32

going to push them hard, but the

53:33

community is also going to push them as

53:34

hard.

53:35

>> And some of these things are like 911

53:37

calls in many jurisdictions are public

53:40

>> public record.

53:41

>> They're public record. And same thing

53:43

with uh radios, although some places

53:46

don't have those as public record. They

53:47

don't have the they have the radios

53:49

encrypted. So drone flights is one where

53:51

like you know should drone flights just

53:53

be on the website like here's all the

53:55

drone flights that occurred and here's

53:57

the 9/11 calls that are with them or

53:58

people doing that or your does your

54:00

software do that for them?

54:01

>> We it would be possible. We've never had

54:04

a customer asked to do it. We have this

54:05

concept of like a spectator mode which

54:08

would be available for, you know, city

54:09

officials and and command staff. But I

54:11

think that your question is the right

54:12

one. And

54:14

>> I think as an industry, you know, we're

54:16

going to have to make these decisions

54:18

sooner than later of what that default

54:20

is because we have a default now, but

54:22

there's very little state regulation.

54:24

There's zero federal regulation outside

54:26

of air safety, which is important, but

54:28

but [clears throat] nothing yet on state

54:30

regulation or city regulation for the

54:34

>> Yeah. So the short so you've got you got

54:36

New Hampshire at three minutes

54:38

>> and then

54:39

>> three minutes for license plate reading.

54:41

>> Yeah.

54:41

>> Okay. That's

54:42

>> that's New Hampshire. That's New

54:43

Hampshire though. So die. Okay. Got it.

54:46

>> And and then the next New York state is

54:47

21 days.

54:49

>> Interesting.

54:50

>> That's the state of Washington. So

54:51

>> Okay. Well, here here you are folks.

54:53

Like if you want to really live off the

54:56

grid in privacy,

54:57

>> New Hampshire. Live the live free or

54:59

die. Garrett, I appreciate your

55:01

candidness and um good luck being in

55:03

such a controversial space and getting

55:05

ahead of these things. I wish you great

55:07

luck with it and uh we can agree, I

55:09

think, publicly for everybody to agree

55:11

and disagree on the margins about these

55:13

things, but it's up to the community to

55:15

make these decisions. I think and I

55:17

think that's the high order bit here.

55:19

And I think that's what you're starting

55:21

to really get right is, hey, this is

55:23

your community choice. You don't want

55:24

it, turn it off. You want it for 48

55:26

hours, put it at 48 hours. We're going

55:28

to have some reasonable caps on this. I

55:30

wish you great luck with it and uh thank

55:32

you to everybody for tuning in to the

55:34

All-In interview program. Bye-bye.

55:36

>> I'm going

55:45

[music]

55:51

[music]

55:53

all in.

Interactive Summary

This interview features Garrett Langley, founder of Flock Safety, discussing the intersection of public safety technology, privacy, and community governance. Flock provides license plate readers and drone technology aimed at crime prevention. The discussion highlights the inherent tension between using data for security and respecting individual privacy. Langley addresses controversies, including police abuse of the system, by emphasizing the importance of audit logs, mandatory accountability tools, and the role of local government in defining retention policies. The conversation concludes with a focus on future-proofing the company through transparent communications and empowering communities to make informed decisions.

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