0:00:11.861,0:00:15.587
So this is a hotel room,[br]kind of like the one I'm staying in.

0:00:15.587,0:00:17.731
I get board sometimes.

0:00:17.731,0:00:21.158
A room like this has not a lot[br]to offer for entertainment.

0:00:21.158,0:00:25.687
But for a hacker, it gets a little[br]interesting because that television

0:00:25.687,0:00:28.136
is not like the television in your home,

0:00:28.136,0:00:31.058
it's a node on a network. Right?

0:00:31.058,0:00:33.442
That means I can mess with it.

0:00:33.442,0:00:37.694
If I plug a little device[br]like this into my computer,

0:00:37.694,0:00:40.499
it's an infrared transceiver,[br]I can send the codes that

0:00:40.499,0:00:43.524
the TV remote might send[br]and some other codes.

0:00:43.524,0:00:47.128
So what?[br]Well, I can watch movies for free.

0:00:47.277,0:00:49.275
(Laughter)

0:00:49.275,0:00:53.681
That doesn't matter to me so much,[br]but I can play video games too.

0:00:54.749,0:00:57.734
Hey, but what's this?

0:00:57.935,0:01:01.010
I can not only do this [br]for my TV in my hotel room,

0:01:01.010,0:01:03.822
I can control your TV [br]in your hotel room.

0:01:03.822,0:01:05.006
(Laughter)

0:01:05.006,0:01:07.906
So I can watch you if you're[br]checking out with one of these,

0:01:07.906,0:01:10.892
you know, TV based registration things,

0:01:10.892,0:01:13.512
if you're surfing[br]the web on your hotel TV,

0:01:13.512,0:01:16.224
I can watch you do it.

0:01:17.182,0:01:19.983
Sometimes it's interesting stuff.

0:01:19.983,0:01:22.374
Funds transfer.

0:01:22.712,0:01:25.830
Really big funds transfers.

0:01:25.830,0:01:28.041
You never know what people[br]might want to do

0:01:28.041,0:01:31.528
while they're surfing the web[br]from their hotel room.

0:01:31.892,0:01:34.633
(Laughter)

0:01:34.633,0:01:37.882
The point is I get to decide[br]if you're watching Disney or porn tonight.

0:01:37.882,0:01:40.141
Anybody else staying [br]at the Affinia hotel?

0:01:40.141,0:01:42.614
(Laughter)

0:01:42.614,0:01:46.722
This is a project I worked on[br]when we were trying to figure out

0:01:46.722,0:01:50.196
the security properties of wireless[br]networks; it's called the "Hackerbot".

0:01:50.196,0:01:54.007
This is a robot we've built that can[br]drive around and find Wi-Fi users,

0:01:54.007,0:01:57.358
drive up to them and show them[br]their passwords on the screen.

0:01:57.358,0:02:00.621
(Laughter)

0:02:00.621,0:02:02.572
We just wanted to build a robot,

0:02:02.572,0:02:05.143
but we didn't know what to make it do, so --

0:02:05.143,0:02:07.338
We made the pistol[br]version of the same thing.

0:02:07.338,0:02:09.131
This is called the "Sniper Yagi".

0:02:09.131,0:02:12.010
It's for your long-range[br]password sniffing action,

0:02:12.010,0:02:14.669
about a mile away I can watch [br]your wireless network.

0:02:14.669,0:02:18.648
This is a project I worked on with[br]Ben Laurie to show passive surveillance.

0:02:18.648,0:02:22.171
So what it is, is a map[br]of the conference called

0:02:22.171,0:02:23.837
"Computers, Freedom and Privacy".

0:02:23.837,0:02:28.774
And this conference was in a[br]hotel, and what we did is we,

0:02:28.774,0:02:31.346
you know, put a computer in[br]each room of the conference

0:02:31.346,0:02:33.284
that logged all the Bluetooth traffic.

0:02:33.284,0:02:36.376
So as everybody came and went[br]with their phones and laptops

0:02:36.376,0:02:38.667
we were able to just[br]log that, correlate it,

0:02:38.667,0:02:42.088
and then I can print out a map like this[br]for everybody at the conference.

0:02:42.088,0:02:45.541
This is Kim Cameron, [br]the Chief Privacy Architect at Microsoft.

0:02:45.541,0:02:46.468
(Laughter)

0:02:46.468,0:02:49.139
Unbeknownst to him,

0:02:49.139,0:02:52.880
I got to see everywhere he went.

0:02:52.880,0:02:56.023
And I can correlate this [br]and show who he hangs out with

0:02:56.023,0:02:58.007
(phone dialing)[br]when he got board,

0:02:58.007,0:03:00.521
(phone dialing)[br]hangs out in the lobby with somebody.

0:03:00.521,0:03:02.964
Anybody here use cellphones?

0:03:02.964,0:03:04.616
(Laughter)

0:03:04.616,0:03:08.488
(Phone ringing)

0:03:08.488,0:03:12.459
So my phone is calling--

0:03:12.459,0:03:15.711
(Ringing)

0:03:17.260,0:03:19.429
calling --

0:03:23.593,0:03:25.769
Voice mail: You have 100 messages.

0:03:25.769,0:03:27.586
Palbos Holman: Uh oh!

0:03:27.586,0:03:29.744
VM: First unheard message --

0:03:29.744,0:03:31.086
PH: Where do I press --

0:03:31.086,0:03:33.367
VM: Message skipped.[br]First skipped message.

0:03:33.367,0:03:34.603
PH: Uh oh!

0:03:34.603,0:03:38.133
VM: Main menu. To listen to your--[br]You have pressed an incorrect key --

0:03:38.133,0:03:40.933
You have two skipped messages.[br]Three saved messages.

0:03:40.933,0:03:42.583
Goodbye.

0:03:42.583,0:03:46.264
PH: Uh oh![br]So we're in Brad's voice mail.

0:03:46.543,0:03:47.994
(Laughter)

0:03:47.994,0:03:50.240
And I was going to record him [br]a new message,

0:03:50.240,0:03:52.673
but I seem to have pressed an invalid key,

0:03:52.673,0:03:54.323
so we're going to move on.

0:03:54.323,0:03:57.963
And I'll explain how that works some[br]other day because we're short on time.

0:03:57.963,0:04:00.114
Anybody here used MySpace?

0:04:00.114,0:04:01.745
MySpace users? Oh!

0:04:01.745,0:04:05.111
Used to be popular.[br]It's kind of like Facebook.

0:04:05.111,0:04:08.663
This guy, a buddy of ours Samy,[br]was trying to meet chicks on MySpace

0:04:08.663,0:04:10.824
which I think is what[br]it used to be good for.

0:04:10.824,0:04:15.514
And what he did is he had[br]a page on MySpace about him.

0:04:16.641,0:04:18.935
It lists all your friends,[br]and that's how you know

0:04:18.935,0:04:21.771
somebody's cool is that they have[br]a lot of friends on MySpace.

0:04:21.771,0:04:23.852
Well, Samy didn't have any friends.

0:04:23.852,0:04:27.743
He wrote a little bit of Javascript code[br]that he put in his page,

0:04:27.743,0:04:29.585
so that whenever you look at his page

0:04:29.585,0:04:32.028
it would just automagically[br]add you as his friend.

0:04:32.028,0:04:35.369
And it would skip the whole[br]acknowledgement response protocol

0:04:35.369,0:04:37.703
saying "Is Samy really your friend?"

0:04:37.703,0:04:40.939
But then it would copy[br]that code onto your page,

0:04:40.939,0:04:43.045
so that whenever anybody[br]looked at your page

0:04:43.045,0:04:45.856
it would automatically add them[br]as Samy's friend too.

0:04:45.856,0:04:46.925
(Laughter)

0:04:46.925,0:04:50.514
And it would change your page[br]to say that "Samy is your hero."

0:04:50.514,0:04:52.023
(Laughter)

0:04:52.023,0:04:56.442
So in under 24 hours, Samy had[br]over a million friends on MySpace.

0:04:56.442,0:04:58.615
(Laughter)

0:04:58.615,0:05:03.415
Hey, he just finished serving[br]3-years probation for that.

0:05:03.553,0:05:05.656
(Laughter)

0:05:05.656,0:05:09.819
Even better, Christopher Abad,[br]this guy, another hacker,

0:05:09.819,0:05:13.492
also trying to meet chicks on[br]MySpace but having spotty results.

0:05:13.492,0:05:15.653
Some of these dates[br]didn't work out so well,

0:05:15.653,0:05:19.678
so what Abad did is[br]he wrote a little bit of code

0:05:19.678,0:05:25.602
to connect MySpace to Spam Assassin,[br]which is an open source spam filter.

0:05:25.602,0:05:28.045
It works just like[br]the spam filter in your email.

0:05:28.045,0:05:30.280
You train it by giving it some spam

0:05:30.280,0:05:32.862
train it by giving it a little[br]bit of legitimate email,

0:05:32.862,0:05:34.869
and it tries to use[br]artificial intelligence

0:05:34.869,0:05:37.270
to work out the difference. Right?

0:05:37.270,0:05:41.262
Well, he just trained it on profiles[br]from girls he dated and liked

0:05:41.262,0:05:43.088
as legitimate email.

0:05:43.088,0:05:46.745
Profiles from girls he dated[br]and not liked, as spam,

0:05:46.745,0:05:50.347
and then ran it against[br]every profile on MySpace.

0:05:50.347,0:05:52.923
(Laughter)

0:05:52.923,0:05:56.088
Out spits girls you might like to date.

0:05:56.088,0:05:59.326
What I say about Abad is, I think,[br]there's like three startups here.

0:05:59.326,0:06:01.121
I don't know why we need Match.com,

0:06:01.121,0:06:05.105
when we can have Spam dating?[br]You know this is innovation.

0:06:05.105,0:06:07.461
He's got a problem, he found a solution.

0:06:07.461,0:06:12.053
Does anybody use these -- bleep --[br]keys for opening your car remotely?

0:06:12.053,0:06:16.421
They're popular in, well,[br]maybe not Chicago, OK.

0:06:16.779,0:06:19.929
So kids these days will drive[br]through a Wal-Mart parking lot

0:06:19.929,0:06:22.493
clicking open, open, open, bloop.

0:06:22.493,0:06:25.570
Eventually you find another[br]Jetta or whatever just like yours,

0:06:25.570,0:06:29.555
maybe a different color,[br]that uses the same key code.

0:06:29.714,0:06:31.931
Kids will just loot it, lock it up and go.

0:06:31.931,0:06:34.102
Your insurance company[br]will roll over on you

0:06:34.102,0:06:36.184
because there's not[br]evidence of a break-in.

0:06:36.184,0:06:39.626
For one manufacturer we figured[br]out how to manipulate that key

0:06:39.626,0:06:43.373
so that it will open every car[br]from that manufacturer.

0:06:43.373,0:06:44.659
(Laughter)

0:06:44.659,0:06:47.770
There is a point to be made about this[br]which I barely have time for,

0:06:47.770,0:06:52.184
but it's that your car is now a PC,[br]your phone is also a PC,

0:06:52.184,0:06:55.723
your toaster, if it is not a PC,[br]soon will be. Right?

0:06:55.723,0:06:57.757
And I'm not joking about that.

0:06:57.757,0:07:00.192
And the point of that is[br]that when that happens

0:07:00.192,0:07:04.342
you inherit all the security[br]properties and problems of PC's.

0:07:04.342,0:07:06.462
And we have a lot of them.

0:07:06.462,0:07:09.262
So keep that in mind,[br]we can talk more about that later.

0:07:09.262,0:07:12.575
Anybody use a lock like this[br]on your front door?

0:07:12.575,0:07:14.528
OK, good.

0:07:14.528,0:07:15.895
I do too.

0:07:15.895,0:07:19.800
This is a Schlage lock.[br]It's on half of the front doors in America.

0:07:19.800,0:07:23.240
I brought one to show you.

0:07:23.240,0:07:25.437
So this is my Schlage lock.

0:07:25.437,0:07:30.413
This is a key that fits the lock, [br]but isn't cut right, so it won't turn it.

0:07:30.413,0:07:34.702
Anybody here ever tried [br]to pick locks with tools like this?

0:07:34.702,0:07:39.207
All right, got a few, [br]few nefarious lock pickers.

0:07:39.893,0:07:41.994
Well, it's for kids with OCD.

0:07:41.994,0:07:44.615
You've got to put them in there,[br]and finick with them,

0:07:44.615,0:07:47.613
spend hours getting the finesse[br]down to manipulate the pins.

0:07:47.613,0:07:51.457
You know, for the ADD kids in the house [br]there's an easier way.

0:07:51.457,0:07:53.226
I put my little magic key in here,

0:07:53.226,0:07:55.917
I put a little pressure on there to turn it,[br](Tapping)

0:07:55.917,0:07:59.253
smack it a few times[br]with this special mallet

0:07:59.253,0:08:02.322
and I just picked the lock. We're in.

0:08:03.312,0:08:05.094
It's easy.

0:08:05.094,0:08:08.309
And in fact, I don't really know[br]much more about this than you do.

0:08:08.309,0:08:09.897
It's really, really easy.

0:08:09.897,0:08:12.328
I have a keychain I made[br]of the same kind of key

0:08:12.328,0:08:14.508
for every other lock in America.

0:08:14.508,0:08:19.442
And if you're interested,[br]I bought a key machine

0:08:19.442,0:08:22.400
so that I can cut these keys[br]and I made some for all of you guys.

0:08:22.400,0:08:23.710
(Laughter)

0:08:23.710,0:08:25.604
(Applause)

0:08:25.604,0:08:28.256
So my gift to you, [br]come afterwards and I will show you

0:08:28.256,0:08:30.519
how to pick a lock and[br]give you one of these keys

0:08:30.519,0:08:32.568
you can take home and try it on your door.

0:08:32.568,0:08:35.663
Anybody used these USB thumb drives?

0:08:35.663,0:08:39.378
Yeah, print my Word document, yeah!

0:08:39.378,0:08:42.574
They're very popular.

0:08:42.574,0:08:46.489
Mine works kind of like yours.[br]You can print my Word document for me.

0:08:46.489,0:08:50.015
But while you're doing that,[br]invisibly and magically in the background

0:08:50.015,0:08:54.056
it's just making a handy backup[br]of your My Documents folder,

0:08:54.056,0:08:58.132
and your browser history and cookies[br]and your registry and password database,

0:08:58.132,0:09:02.076
and all the things that you might need [br]someday if you have a problem.

0:09:02.076,0:09:05.963
So we just like to make these things[br]and litter them around at conferences.

0:09:05.963,0:09:09.758
(Laughter)

0:09:09.758,0:09:11.977
Anybody here use credit cards?

0:09:11.977,0:09:13.145
(Laughter)

0:09:13.145,0:09:14.435
Oh, good!

0:09:14.435,0:09:17.956
Yeah, so they're popular[br]and wildly secure.

0:09:17.956,0:09:19.210
(Laughter)

0:09:19.210,0:09:22.406
Well, there's new credit cards[br]that you might have gotten in the mail

0:09:22.406,0:09:25.488
with a letter explaining how [br]it's your new "Secure credit card".

0:09:25.488,0:09:27.004
Anybody get one of these?

0:09:27.004,0:09:31.593
You know it's secure because[br]it has a chip in it, an RFID tag,

0:09:31.593,0:09:34.792
and you can use these in[br]Taxicabs and at Starbucks,

0:09:34.792,0:09:37.956
I brought one to show you,[br]by just touching the reader.

0:09:37.956,0:09:39.969
Has anybody seen these before?

0:09:39.969,0:09:42.451
Okay, who's got one?

0:09:44.151,0:09:45.960
Bring it on up here.

0:09:45.960,0:09:47.910
(Laughter)

0:09:47.910,0:09:50.616
There's a prize in it for you.

0:09:50.616,0:09:53.622
I just want to show you [br]some things we learned about them.

0:09:53.622,0:09:55.663
I got this credit card in the mail.

0:09:55.663,0:09:58.219
I really do need some volunteers,[br]in fact, I need

0:09:58.219,0:10:01.207
one, two, three, four, five[br]volunteers because the winners

0:10:01.207,0:10:04.221
are going to get these[br]awesome stainless steel wallets

0:10:04.221,0:10:08.270
that protect you against the problem that [br]you guessed, I'm about to demonstrate.

0:10:08.270,0:10:10.570
Bring your credit card up here[br]and I'll show you.

0:10:10.570,0:10:14.158
I want to try it on one of these[br]awesome new credit cards.

0:10:14.158,0:10:15.670
OK.

0:10:18.796,0:10:21.258
Do we have a conference organizer,

0:10:21.258,0:10:23.872
somebody who can coerce people[br]into cooperating?

0:10:23.872,0:10:24.825
(Laughing)

0:10:24.825,0:10:28.583
It's by your own volition because --

0:10:29.573,0:10:32.708
This is where the demo gets really awesome

0:10:32.708,0:10:34.370
I know you guys have never seen --

0:10:34.370,0:10:35.564
(Inaudible question)

0:10:35.564,0:10:37.092
What's that?

0:10:37.092,0:10:40.626
They're really cool wallets[br]made of stainless steel.

0:10:41.133,0:10:44.867
Anybody else seen code[br]on screen at TED before?

0:10:44.867,0:10:47.001
Yeah, this is pretty awesome.

0:10:47.001,0:10:49.808
(Laughter)

0:10:51.528,0:10:53.432
OK, great I got volunteers.

0:10:53.432,0:10:56.590
So who has one of these[br]exciting credit cards?

0:10:57.790,0:10:59.282
OK, here we go.

0:10:59.282,0:11:01.506
I'm about to share [br]your credit card number

0:11:01.506,0:11:03.890
only to 350 close friends.

0:11:03.890,0:11:06.194
Hear the beep?

0:11:06.194,0:11:08.780
That means someone's hacking [br]your credit card.

0:11:08.780,0:11:10.107
OK, what did we get?

0:11:10.107,0:11:14.623
Valued customer and the credit[br]card number and expiration date.

0:11:14.623,0:11:18.916
It turns out your secure new[br]credit card is not totally secure.

0:11:19.332,0:11:21.894
Anybody else want to try yours [br]while you're here?

0:11:21.894,0:11:24.053
Man: Can you install overdraft protection?

0:11:24.053,0:11:26.478
PH: Beep, let's see what we got?

0:11:26.478,0:11:28.842
So we bitched about[br]this and AMEX changed it,

0:11:28.842,0:11:31.146
so it doesn't show the name anymore.

0:11:31.146,0:11:35.483
Which is progress.[br]You can see mine, if it shows it.

0:11:37.043,0:11:40.702
Yeah, it shows my name on it, [br]that's what my Mom calls me anyway.

0:11:40.702,0:11:43.395
Yours doesn't have it.

0:11:44.365,0:11:48.530
Anyway, so next time you get [br]something in the mail

0:11:48.530,0:11:51.957
that says it's secure, send it to me.

0:11:51.957,0:11:54.582
(Laughter)

0:11:55.754,0:11:59.046
Oh wait, one of these is empty, hold on.

0:12:00.856,0:12:03.459
I think this is the one, yep, here you go.

0:12:03.459,0:12:05.422
You get the one that's disassembled.

0:12:05.422,0:12:06.829
All right, cool.

0:12:06.829,0:12:10.351
(Applause)

0:12:10.351,0:12:14.094
I still have a few minutes yet left,[br]so I'm going to make a couple of points.

0:12:14.094,0:12:15.025
(Laughter)

0:12:15.025,0:12:16.512
Oh, shit.

0:12:16.512,0:12:21.039
That's my subliminal messaging campaign.[br]It was supposed to be much faster.

0:12:21.039,0:12:25.209
Here's the most exciting[br]slide ever shown at TED.

0:12:25.209,0:12:27.502
This is the protocol diagram for SSL,

0:12:27.502,0:12:29.853
which is the encryption[br]system in your web browser

0:12:29.853,0:12:33.324
that protects your credit card when you're[br]sending it to Amazon and so on.

0:12:33.324,0:12:35.341
Very exciting, I know, but the point is

0:12:35.341,0:12:39.173
hackers will attack every[br]point in this protocol, right?

0:12:39.173,0:12:42.795
I'm going to send two responses[br]when the server's expecting one.

0:12:42.795,0:12:45.664
I'm going to send a zero[br]when it's expecting a one.

0:12:45.664,0:12:48.506
I'm going to send twice as much [br]data as it's expecting.

0:12:48.506,0:12:51.384
I'm going to take twice as long[br]answering as it's expecting.

0:12:51.384,0:12:54.406
Just try a bunch of stuff.[br]See where it breaks.

0:12:54.406,0:12:56.218
See what falls in my lap.

0:12:56.218,0:13:01.282
When I find a hole like that [br]then I can start looking for an exploit.

0:13:01.282,0:13:06.240
This is a little more what SSL looks[br]like to hackers, that's really boring.

0:13:06.240,0:13:10.747
This guy kills a million Africans a year.

0:13:11.031,0:13:14.791
It's Anopheles stephensi mosquito[br]carrying malaria.

0:13:15.738,0:13:17.788
Is this the wrong talk?

0:13:17.788,0:13:19.403
(Laughter)

0:13:19.403,0:13:23.258
This is a protocol diagram for malaria.

0:13:23.892,0:13:27.477
So what we're doing in our lab[br]is attacking this protocol

0:13:27.477,0:13:29.681
at every point we can find.

0:13:29.681,0:13:32.758
It has a very complex life cycle[br]that I won't go into now,

0:13:32.758,0:13:36.227
but it spends some time in humans,[br]some time in mosquitos

0:13:36.227,0:13:39.467
and what I need are hackers.

0:13:39.467,0:13:43.508
Because hackers have a mind[br]that's optimized for discovery.

0:13:43.934,0:13:47.407
They have a mind that's optimized[br]for figuring out what's possible.

0:13:47.407,0:13:49.805
You know, I often illustrate this[br]by saying,

0:13:49.805,0:13:54.676
If you get some random new[br]gadget and show it to your Mom,

0:13:55.455,0:13:59.245
she might say, "Well, what does this do?"[br]And you'd say "Mom, it's a phone."

0:13:59.245,0:14:02.566
And instantly, she'd would know [br]exactly what it's for.

0:14:02.566,0:14:05.085
But with a hacker,[br]the question is different.

0:14:05.085,0:14:08.909
The question is[br]"What can I make this do?"

0:14:09.102,0:14:12.029
I'm going to take all the screws out, [br]and take the back off,

0:14:12.029,0:14:13.984
and break it into a lot of little pieces.

0:14:13.984,0:14:17.343
But then I'm going to figure out[br]what I can build from the rubble.

0:14:17.343,0:14:21.299
That's discovery, and we need to[br]do that in science and technology

0:14:21.299,0:14:23.439
to figure out what's possible.

0:14:23.439,0:14:27.118
And so in the lab what I'm trying[br]to do is apply that mindset

0:14:27.118,0:14:29.583
to some of the biggest[br]problems humans have.

0:14:29.583,0:14:34.152
We work on malaria, thanks to[br]Bill Gates, who asked us to work on it.

0:14:34.152,0:14:36.863
This is how we used to solve malaria.

0:14:36.863,0:14:39.070
This is a real ad from like the 40's.

0:14:39.070,0:14:43.205
We eradicated malaria in the US[br]by spraying DDT everywhere.

0:14:44.455,0:14:48.505
In the lab what we do is a lot of work[br]to try and understand the problem.

0:14:48.505,0:14:53.658
This is a high-speed video,[br]we have a badass video camera,

0:14:53.658,0:14:56.293
trying to learn how mosquitos fly.

0:14:56.293,0:14:59.441
And you can see that [br]they're more like swimming in air.

0:14:59.441,0:15:01.299
We actually have no idea how they fly.

0:15:01.299,0:15:03.520
But we have a cool video camera so we --

0:15:03.520,0:15:05.534
(Laughter)

0:15:05.534,0:15:09.245
Yeah, it cost more than a Ferrari.

0:15:09.245,0:15:12.395
Anyway we came up with some[br]ways to take care of mosquitos.

0:15:12.395,0:15:14.807
Let's shoot them down with laser beams.

0:15:14.807,0:15:19.318
This is what happens when you put [br]one of every kind of scientist in a room

0:15:19.318,0:15:21.318
and a laser junky.

0:15:21.318,0:15:25.237
So people thought it was funny at first,

0:15:25.237,0:15:30.076
but we figured out, you know, we can[br]build this out of consumer electronics.

0:15:30.076,0:15:33.390
It's using the CCD from a webcam,

0:15:33.390,0:15:36.590
the laser from a Blu-ray burner,

0:15:36.590,0:15:40.212
the laser galvo is from a laser printer.

0:15:40.212,0:15:43.220
We do motion detection on a GPU processor

0:15:43.220,0:15:45.414
like you might find in video game system.

0:15:45.414,0:15:47.343
It's all stuff that follows Moore's law.

0:15:47.343,0:15:50.228
So it's actually not going to[br]be that expensive to do it.

0:15:50.228,0:15:52.466
The idea is that we would put

0:15:52.466,0:15:56.317
a perimeter of these laser systems[br]around a building or a village

0:15:56.317,0:15:59.507
and just shoot all the mosquitos[br]on their way in to feed on humans.

0:15:59.507,0:16:02.800
And we might want to do that[br]for your backyard.

0:16:02.800,0:16:04.763
We could also do it to protect crops.

0:16:04.763,0:16:06.629
Our team is right now working on

0:16:06.629,0:16:09.285
characterizing what they[br]need to do the same thing for

0:16:09.285,0:16:12.899
the pest that has wiped out [br]about two thirds

0:16:12.899,0:16:16.477
of the Orange groves in Florida.

0:16:18.102,0:16:20.719
So people laughed at first.

0:16:20.719,0:16:23.441
This is a video of our system working.

0:16:23.441,0:16:26.119
We are tracking mosquitos live [br]as they fly around.

0:16:26.119,0:16:28.622
Those crosshairs are put there[br]by our computer.

0:16:28.622,0:16:30.483
It just watches them, [br]finds them moving

0:16:30.483,0:16:34.217
and then it aims a laser at them[br]to sample their wing beat frequency.

0:16:34.217,0:16:37.424
Figure out from that, [br]is this a mosquito?

0:16:37.424,0:16:40.325
Is it Anopheles Stephensi?[br]Is it female?

0:16:40.325,0:16:44.912
And if all that's true then[br]we shoot it down with lethal laser.

0:16:44.912,0:16:46.981
(Laughter)

0:16:46.981,0:16:48.753
So we have this working in a lab.

0:16:48.753,0:16:51.879
We're working on taking [br]that project into the field now.

0:16:51.879,0:16:56.425
All this happens at the Intellectual[br]Ventures Lab in Seattle where I work

0:16:56.425,0:17:01.626
and we try and take on some[br]of the hardest problems that humans have.

0:17:01.626,0:17:03.468
This is the money shot.

0:17:03.468,0:17:06.731
You can see we just burned[br]his wing off with a UV laser.

0:17:06.731,0:17:08.849
He's not coming back.

0:17:08.849,0:17:12.072
(Applause)

0:17:12.072,0:17:15.874
Kind of vaporized[br]his wing right there, yeah.

0:17:15.874,0:17:18.636
They love it.[br]I mean, you know.

0:17:18.636,0:17:20.769
Never got called by PETA or anyone else.

0:17:20.769,0:17:23.226
I mean, it's the perfect enemy.

0:17:23.226,0:17:26.379
There's just no one coming[br]to the rescue of mosquitos.

0:17:26.379,0:17:29.660
Sometimes we overdo it.

0:17:29.660,0:17:32.093
So anyway, I'm going to get off stage.

0:17:32.093,0:17:35.141
This is the Intellectual Ventures Lab [br]where I work.

0:17:35.141,0:17:37.835
Basically we use every kind of scientist

0:17:37.835,0:17:42.185
and one of every tool in the world[br]to work on crazy invention projects.

0:17:42.185,0:17:43.537
Thanks.

0:17:43.537,0:17:45.285
(Applause)