1
99:59:59,999 --> 99:59:59,999
How many of your are creatives?

2
99:59:59,999 --> 99:59:59,999
Designers, engineers,
entrepreneurs, artists,

3
99:59:59,999 --> 99:59:59,999
or maybe you just have
a really big imagination.

4
99:59:59,999 --> 99:59:59,999
Show of hands?

5
99:59:59,999 --> 99:59:59,999
That's most of you.

6
99:59:59,999 --> 99:59:59,999
I have some news for us creatives.

7
99:59:59,999 --> 99:59:59,999
Over the course of the next 20 years,

8
99:59:59,999 --> 99:59:59,999
more will change around the way
we do our work

9
99:59:59,999 --> 99:59:59,999
than has happened in the last 2,000.

10
99:59:59,999 --> 99:59:59,999
In fact, I think we're at the dawn
of a new age in human history.

11
99:59:59,999 --> 99:59:59,999
Now, there have been four major historical
eras defined by the way we work.

12
99:59:59,999 --> 99:59:59,999
The hunter-gatherer age lasted
several million years.

13
99:59:59,999 --> 99:59:59,999
And then the Agricultural Age
lasted several thousand years.

14
99:59:59,999 --> 99:59:59,999
The Industrial Age lasted
a couple of centuries,

15
99:59:59,999 --> 99:59:59,999
and now the Information Age
has lasted just a few decades.

16
99:59:59,999 --> 99:59:59,999
And now today,

17
99:59:59,999 --> 99:59:59,999
we're on the cusp of our next
great era as a species.

18
99:59:59,999 --> 99:59:59,999
Welcome to the Augemented Age.

19
99:59:59,999 --> 99:59:59,999
In this new era,

20
99:59:59,999 --> 99:59:59,999
your natural human capabilities are going
to be augmented by computational systems

21
99:59:59,999 --> 99:59:59,999
that help you think,

22
99:59:59,999 --> 99:59:59,999
robotic systems that help you make,

23
99:59:59,999 --> 99:59:59,999
and a digital nervous system

24
99:59:59,999 --> 99:59:59,999
that connects you to the world
fay beyond your natural senses.

25
99:59:59,999 --> 99:59:59,999
Let's stated with Cognitive Augmentation.

26
99:59:59,999 --> 99:59:59,999
How many of you are augmented cyborgs?

27
99:59:59,999 --> 99:59:59,999
(Laughter)

28
99:59:59,999 --> 99:59:59,999
I would actually argue that we're
already augmented.

29
99:59:59,999 --> 99:59:59,999
Imagine you're at a party,

30
99:59:59,999 --> 99:59:59,999
and somebody asks you a question
that you don't know the answer to.

31
99:59:59,999 --> 99:59:59,999
If you have one of these,

32
99:59:59,999 --> 99:59:59,999
in a few seconds,

33
99:59:59,999 --> 99:59:59,999
you can know the answer.

34
99:59:59,999 --> 99:59:59,999
But this is just a primitive beginning.

35
99:59:59,999 --> 99:59:59,999
Even Siri is just a passive tool.

36
99:59:59,999 --> 99:59:59,999
In fact, for the past
three-and-a-half million years,

37
99:59:59,999 --> 99:59:59,999
the tools that we've had
have been completely passive.

38
99:59:59,999 --> 99:59:59,999
They do exactly what we tell them
and nothing more.

39
99:59:59,999 --> 99:59:59,999
Our very first tool only cut
where we struck it.

40
99:59:59,999 --> 99:59:59,999
The chisel only carves where
the artist points it.

41
99:59:59,999 --> 99:59:59,999
And even our most advanced tools
do nothing without out explicit direction.

42
99:59:59,999 --> 99:59:59,999
In fact, to date --

43
99:59:59,999 --> 99:59:59,999
this is something that frustrates me --

44
99:59:59,999 --> 99:59:59,999
we've always been limited

45
99:59:59,999 --> 99:59:59,999
by this need to manually
push our wills into our tools,

46
99:59:59,999 --> 99:59:59,999
like manual --

47
99:59:59,999 --> 99:59:59,999
like literally using our hands,

48
99:59:59,999 --> 99:59:59,999
even with computers.

49
99:59:59,999 --> 99:59:59,999
But I'm more like Scotty in "Star Trek."

50
99:59:59,999 --> 99:59:59,999
(Laughter)

51
99:59:59,999 --> 99:59:59,999
I want to have a conversation
with a computer.

52
99:59:59,999 --> 99:59:59,999
I want to say, "Computer,
let's design a car,"

53
99:59:59,999 --> 99:59:59,999
and the computer shows me a car.

54
99:59:59,999 --> 99:59:59,999
And I say, "No, more fast-looking,
and less German,"

55
99:59:59,999 --> 99:59:59,999
and bang, the computer shows me an option.

56
99:59:59,999 --> 99:59:59,999
(Laughter)

57
99:59:59,999 --> 99:59:59,999
That conversation might be
a little ways off,

58
99:59:59,999 --> 99:59:59,999
it's actually probably less
than any of us think,

59
99:59:59,999 --> 99:59:59,999
but right now,

60
99:59:59,999 --> 99:59:59,999
we're working on it.

61
99:59:59,999 --> 99:59:59,999
Tools are making this leap from being
passive to being generative.

62
99:59:59,999 --> 99:59:59,999
Generative design tools
use a computer and algorithms

63
99:59:59,999 --> 99:59:59,999
to synthesize geometry --

64
99:59:59,999 --> 99:59:59,999
to come up with new designs
all by themselves.

65
99:59:59,999 --> 99:59:59,999
All it needs are your goals
and your constraints.

66
99:59:59,999 --> 99:59:59,999
I'll give you an example.

67
99:59:59,999 --> 99:59:59,999
In the case of this Aerial
Drone [Chassy?],

68
99:59:59,999 --> 99:59:59,999
all you would need to do is tell it
something like,

69
99:59:59,999 --> 99:59:59,999
it has four propellers,

70
99:59:59,999 --> 99:59:59,999
you want it to be
as lightweight as possible,

71
99:59:59,999 --> 99:59:59,999
and you need it to be
aerodynamically efficient.

72
99:59:59,999 --> 99:59:59,999
And then what the computer does

73
99:59:59,999 --> 99:59:59,999
is it explores the entire solution space:

74
99:59:59,999 --> 99:59:59,999
every single possibility that solves
and meets your criteria --

75
99:59:59,999 --> 99:59:59,999
millions of them.

76
99:59:59,999 --> 99:59:59,999
It takes big computers to do this,

77
99:59:59,999 --> 99:59:59,999
but it comes back to us with designs

78
99:59:59,999 --> 99:59:59,999
that we by ourselves
never could've imagined.

79
99:59:59,999 --> 99:59:59,999
And the computer's coming up
with this stuff all by itself,

80
99:59:59,999 --> 99:59:59,999
no one ever drew anything,

81
99:59:59,999 --> 99:59:59,999
and it started completely from scratch.

82
99:59:59,999 --> 99:59:59,999
And by the way,

83
99:59:59,999 --> 99:59:59,999
it's no accident

84
99:59:59,999 --> 99:59:59,999
that the drone body looks just like
the pelvis of a flying squirrel.

85
99:59:59,999 --> 99:59:59,999
(Laughter)

86
99:59:59,999 --> 99:59:59,999
It's because the algorithms are designed
to word the same way that evolution does.

87
99:59:59,999 --> 99:59:59,999
What's exciting is we're starting to see
this technology out in the real world.

88
99:59:59,999 --> 99:59:59,999
We've been working with [Airbus]
for a couple of years

89
99:59:59,999 --> 99:59:59,999
on this concept plane for the future.

90
99:59:59,999 --> 99:59:59,999
It's aways out still,

91
99:59:59,999 --> 99:59:59,999
but just recently we used
a generative design AI

92
99:59:59,999 --> 99:59:59,999
to come up with this.

93
99:59:59,999 --> 99:59:59,999
This is a 3D printed cabin partition
that's been designed by a computer.

94
99:59:59,999 --> 99:59:59,999
It's stronger than the original
yet half the weight,

95
99:59:59,999 --> 99:59:59,999
and it will be flying
in the Airbus [A-320] later this year.

96
99:59:59,999 --> 99:59:59,999
So computers can now generate.

97
99:59:59,999 --> 99:59:59,999
They can come up with their own solutions
to our well-defined problems.

98
99:59:59,999 --> 99:59:59,999
But they're not inutitive.

99
99:59:59,999 --> 99:59:59,999
They still have to start from scratch
every single time,

100
99:59:59,999 --> 99:59:59,999
and that's because they never learn,

101
99:59:59,999 --> 99:59:59,999
unlike Maggie.

102
99:59:59,999 --> 99:59:59,999
(Laughter)

103
99:59:59,999 --> 99:59:59,999
Maggie's actually smarter than our
most advanced design tools.

104
99:59:59,999 --> 99:59:59,999
What do I mean by that?

105
99:59:59,999 --> 99:59:59,999
If her owner picks up that leash,

106
99:59:59,999 --> 99:59:59,999
Maggie knows with a fair
degree of certainty

107
99:59:59,999 --> 99:59:59,999
that it's time to for a walk.

108
99:59:59,999 --> 99:59:59,999
And how did she learn?

109
99:59:59,999 --> 99:59:59,999
Well, every time the owner
picked up the leash,

110
99:59:59,999 --> 99:59:59,999
they went for a walk.

111
99:59:59,999 --> 99:59:59,999
And Maggie did three things:

112
99:59:59,999 --> 99:59:59,999
she had to pay attention,

113
99:59:59,999 --> 99:59:59,999
she had to remember what happened

114
99:59:59,999 --> 99:59:59,999
and she had to retain and create
a pattern in her mind.

115
99:59:59,999 --> 99:59:59,999
Interestingly,

116
99:59:59,999 --> 99:59:59,999
that's exactly computer scientists
have been trying to get AIs to do

117
99:59:59,999 --> 99:59:59,999
for the last 60 or so years.

118
99:59:59,999 --> 99:59:59,999
Back in 1952,

119
99:59:59,999 --> 99:59:59,999
they build this computer
that could play Tic-Tac-Toe.

120
99:59:59,999 --> 99:59:59,999
Big deal.

121
99:59:59,999 --> 99:59:59,999
Then 45 years later,

122
99:59:59,999 --> 99:59:59,999
1997,

123
99:59:59,999 --> 99:59:59,999
Deep Blue beats [Casperoff] at Chess.

124
99:59:59,999 --> 99:59:59,999
2011, Watson beats these two
humans at Jeopardy,

125
99:59:59,999 --> 99:59:59,999
which is much harder for a computer
to play than Chess is.

126
99:59:59,999 --> 99:59:59,999
In fact, rather than working
from predefined recipes,

127
99:59:59,999 --> 99:59:59,999
Watson had to use reasoning
to overcome his human opponents.

128
99:59:59,999 --> 99:59:59,999
And then a couple of weeks ago,

129
99:59:59,999 --> 99:59:59,999
[Deep Minds' Alpha-Go] beats
the world's best human at Go,

130
99:59:59,999 --> 99:59:59,999
which is the most difficult
game that we have.

131
99:59:59,999 --> 99:59:59,999
In fact in Go,

132
99:59:59,999 --> 99:59:59,999
there are more possible moves
than there are atoms in the universe.

133
99:59:59,999 --> 99:59:59,999
So in order to win,

134
99:59:59,999 --> 99:59:59,999
what Alpha-Go had to do
was develop intuition,

135
99:59:59,999 --> 99:59:59,999
and in fact,

136
99:59:59,999 --> 99:59:59,999
at some points,

137
99:59:59,999 --> 99:59:59,999
Alpha-Go's programmers didn't understand
why Alpha-Go was doing what it was doing.

138
99:59:59,999 --> 99:59:59,999
And things are moving really fast.

139
99:59:59,999 --> 99:59:59,999
I mean, consider --

140
99:59:59,999 --> 99:59:59,999
in the space of a human lifetime,

141
99:59:59,999 --> 99:59:59,999
computers have gone from a child's game

142
99:59:59,999 --> 99:59:59,999
to what's recognized as the pinnacle
of strategic thought.

143
99:59:59,999 --> 99:59:59,999
What's basically happening

144
99:59:59,999 --> 99:59:59,999
is computers are going
from being like Spock

145
99:59:59,999 --> 99:59:59,999
to being a lot more like Kirk.

146
99:59:59,999 --> 99:59:59,999
(Laughter)

147
99:59:59,999 --> 99:59:59,999
Right?

148
99:59:59,999 --> 99:59:59,999
From pure logic to intuition.

149
99:59:59,999 --> 99:59:59,999
Would you cross this bridge?

150
99:59:59,999 --> 99:59:59,999
Most of you are saying,

151
99:59:59,999 --> 99:59:59,999
"Oh, hell no."

152
99:59:59,999 --> 99:59:59,999
(Laughter)

153
99:59:59,999 --> 99:59:59,999
And you arrived at that decision
in a split second.

154
99:59:59,999 --> 99:59:59,999
You just sort of knew
that that bridge was unsafe.

155
99:59:59,999 --> 99:59:59,999
And that's exactly the kind of intuition

156
99:59:59,999 --> 99:59:59,999
that our deep learning systems
are starting to develop right now.

157
99:59:59,999 --> 99:59:59,999
Very soon you'll literally be able
to show something that you've made,

158
99:59:59,999 --> 99:59:59,999
you've designed,

159
99:59:59,999 --> 99:59:59,999
to computer,

160
99:59:59,999 --> 99:59:59,999
and it will look at it and say,

161
99:59:59,999 --> 99:59:59,999
"Mm, sorry homey, that will never work,

162
99:59:59,999 --> 99:59:59,999
you'll have to try again."

163
99:59:59,999 --> 99:59:59,999
Or you could ask it if people
are going to like your next song,

164
99:59:59,999 --> 99:59:59,999
or your next flavor of ice cream.

165
99:59:59,999 --> 99:59:59,999
Or, much more importantly,

166
99:59:59,999 --> 99:59:59,999
you could work with a computer to solve
a problem that we've never faced before.

167
99:59:59,999 --> 99:59:59,999
For instance climate change.

168
99:59:59,999 --> 99:59:59,999
We're not doing a very
good job on our own,

169
99:59:59,999 --> 99:59:59,999
we could certainly use
all the help we can get.

170
99:59:59,999 --> 99:59:59,999
That's what I'm talking about:

171
99:59:59,999 --> 99:59:59,999
technology amplifying
our cognitive abilities

172
99:59:59,999 --> 99:59:59,999
so we can imagine and design things

173
99:59:59,999 --> 99:59:59,999
that were simply out of our reach
as plain old unaugmented humans.

174
99:59:59,999 --> 99:59:59,999
So, what about making
all of this crazy new stuff

175
99:59:59,999 --> 99:59:59,999
that we're going to invent and design?

176
99:59:59,999 --> 99:59:59,999
I think the era of human augmentation
is as much about the physical world

177
99:59:59,999 --> 99:59:59,999
as it is about the virtual,
intellectual realm.

178
99:59:59,999 --> 99:59:59,999
So how will technology augment us?

179
99:59:59,999 --> 99:59:59,999
In the physcial world,

180
99:59:59,999 --> 99:59:59,999
robotic systems.

181
99:59:59,999 --> 99:59:59,999
OK, there's certainly a fear that robots
are going to take jobs from humans,

182
99:59:59,999 --> 99:59:59,999
and that is true in certain sectors.

183
99:59:59,999 --> 99:59:59,999
But I'm much more interested in this idea

184
99:59:59,999 --> 99:59:59,999
that humans and robots working together
are going to augment each other,

185
99:59:59,999 --> 99:59:59,999
and start to inhabit a new space.

186
99:59:59,999 --> 99:59:59,999
This is our applied
research lab in San Francisco,

187
99:59:59,999 --> 99:59:59,999
where one of our areas of focus
is advanced robotics,

188
99:59:59,999 --> 99:59:59,999
specifically human-robot collaboration.

189
99:59:59,999 --> 99:59:59,999
And this is Bishop,

190
99:59:59,999 --> 99:59:59,999
one of our robots.

191
99:59:59,999 --> 99:59:59,999
As an experiment,

192
99:59:59,999 --> 99:59:59,999
we set it up to help a person working
in construction doing repetitive tasks.

193
99:59:59,999 --> 99:59:59,999
Tasks like cutting out holes for outlets
or light switches in dry wall.

194
99:59:59,999 --> 99:59:59,999
(Laughter)

195
99:59:59,999 --> 99:59:59,999
So Bishop's human partner can tell
what to do in plain English

196
99:59:59,999 --> 99:59:59,999
and simple gestures,

197
99:59:59,999 --> 99:59:59,999
kind of like talking to a dog.

198
99:59:59,999 --> 99:59:59,999
And then Bishop executes
on those instructions

199
99:59:59,999 --> 99:59:59,999
with perfect precision.

200
99:59:59,999 --> 99:59:59,999
We're using the human for what
the human is good at,

201
99:59:59,999 --> 99:59:59,999
right?

202
99:59:59,999 --> 99:59:59,999
Awareness, perception and desicion making.

203
99:59:59,999 --> 99:59:59,999
And we're using the robot
for what it's good at:

204
99:59:59,999 --> 99:59:59,999
precision and repetitiveness.

205
99:59:59,999 --> 99:59:59,999
Here's another cool project
that Bishop worked on.

206
99:59:59,999 --> 99:59:59,999
The goal of this project,

207
99:59:59,999 --> 99:59:59,999
which we called, "The Hive,"

208
99:59:59,999 --> 99:59:59,999
was the prototype the experience
of humans, computers and robots

209
99:59:59,999 --> 99:59:59,999
all working together to solve
a highly complex design problem.

210
99:59:59,999 --> 99:59:59,999
The humans acted as labor.

211
99:59:59,999 --> 99:59:59,999
They cruised around the construction site,

212
99:59:59,999 --> 99:59:59,999
they manipulated the bamboo --

213
99:59:59,999 --> 99:59:59,999
which by the way,

214
99:59:59,999 --> 99:59:59,999
because it's a non-icomorphic material,

215
99:59:59,999 --> 99:59:59,999
is super hard for robots to deal with.

216
99:59:59,999 --> 99:59:59,999
But then the robots
did this fiber winding,

217
99:59:59,999 --> 99:59:59,999
which was almost impossible
for a human to do.

218
99:59:59,999 --> 99:59:59,999
And then we had an AI
that was controlling everything.

219
99:59:59,999 --> 99:59:59,999
It was telling the humans what to do,

220
99:59:59,999 --> 99:59:59,999
it was tell the robots what to do,

221
99:59:59,999 --> 99:59:59,999
and keeping track of thousands
of individual components.

222
99:59:59,999 --> 99:59:59,999
What's interesting is building
this pavillion was simply not possible

223
99:59:59,999 --> 99:59:59,999
without human, robot and AI
augmenting each other.

224
99:59:59,999 --> 99:59:59,999
OK, I'll share one more project.

225
99:59:59,999 --> 99:59:59,999
This one's a little bit crazy.

226
99:59:59,999 --> 99:59:59,999
We're working with Amsterdam-based artist,
[Youris Marvin and his team at MX3D]

227
99:59:59,999 --> 99:59:59,999
to generatively design
and robotically print

228
99:59:59,999 --> 99:59:59,999
the world's first autonomously
manufactured bridge.

229
99:59:59,999 --> 99:59:59,999
So, Youris and an AI are designing
this thing right now, as we speak,

230
99:59:59,999 --> 99:59:59,999
in Amsterdam.

231
99:59:59,999 --> 99:59:59,999
And when we're done,

232
99:59:59,999 --> 99:59:59,999
we're going to hit Go,

233
99:59:59,999 --> 99:59:59,999
and robots will start 3D printing
in stainless steel,

234
99:59:59,999 --> 99:59:59,999
and then they're going to keep printing
without human intervention

235
99:59:59,999 --> 99:59:59,999
until the bridge is finished.

236
99:59:59,999 --> 99:59:59,999
So as computers are going
to augment our ability

237
99:59:59,999 --> 99:59:59,999
to imagine and design new stuff,

238
99:59:59,999 --> 99:59:59,999
robotic systems are going to help us

239
99:59:59,999 --> 99:59:59,999
build and make things that we've
never been able to make before.

240
99:59:59,999 --> 99:59:59,999
But what about our ability
to sense and control these things?

241
99:59:59,999 --> 99:59:59,999
What about a nervous system
for the things that we make?

242
99:59:59,999 --> 99:59:59,999
Our nervous system --

243
99:59:59,999 --> 99:59:59,999
the human nervous system --

244
99:59:59,999 --> 99:59:59,999
tells everything that's
going on around us.

245
99:59:59,999 --> 99:59:59,999
But the nervous system of the things
we make is rudimentary at best.

246
99:59:59,999 --> 99:59:59,999
For instance,

247
99:59:59,999 --> 99:59:59,999
a car doesn't tell the city's
Public Works department

248
99:59:59,999 --> 99:59:59,999
that it just hit a pothole at the corner
of Broadway and Morrison;

249
99:59:59,999 --> 99:59:59,999
A building doesn't tell its designers

250
99:59:59,999 --> 99:59:59,999
whether or not the people
inside like being there,

251
99:59:59,999 --> 99:59:59,999
and the toy manufacturer doesn't know
if a toy is actually being played with --

252
99:59:59,999 --> 99:59:59,999
how and where and whether
or not it's any fun.

253
99:59:59,999 --> 99:59:59,999
Look, I'm sure that the designers
imagined this lifestyle for Barbie

254
99:59:59,999 --> 99:59:59,999
when they designed her --

255
99:59:59,999 --> 99:59:59,999
right?

256
99:59:59,999 --> 99:59:59,999
(Laughter)

257
99:59:59,999 --> 99:59:59,999
But what if it turns out that Barbie's
actually really lonely?

258
99:59:59,999 --> 99:59:59,999
(Laughter)

259
99:59:59,999 --> 99:59:59,999
If the designers had known what was
really happening in the real world

260
99:59:59,999 --> 99:59:59,999
with their designs --

261
99:59:59,999 --> 99:59:59,999
the road, the building, the Barbie --

262
99:59:59,999 --> 99:59:59,999
they could've used that knowledge

263
99:59:59,999 --> 99:59:59,999
to create an experience
that was better for the user.

264
99:59:59,999 --> 99:59:59,999
What's missing is a nervous system

265
99:59:59,999 --> 99:59:59,999
connecting us to all of the things
that we design, make and use.

266
99:59:59,999 --> 99:59:59,999
What if all of you had that kind
of information flowing to you

267
99:59:59,999 --> 99:59:59,999
from the things you create
in the real world?

268
99:59:59,999 --> 99:59:59,999
With all of the stuff we make,

269
99:59:59,999 --> 99:59:59,999
we spend a tremendous amount
of money and energy --

270
99:59:59,999 --> 99:59:59,999
in fact last year about
two trillion dollars --

271
99:59:59,999 --> 99:59:59,999
convincing people to buy
the things that we've made.

272
99:59:59,999 --> 99:59:59,999
But if you had this connection
to the things that you design and create,

273
99:59:59,999 --> 99:59:59,999
after they're out in the real world,

274
99:59:59,999 --> 99:59:59,999
after they've been sold,
or launched or whatever,

275
99:59:59,999 --> 99:59:59,999
we could actually change that,

276
99:59:59,999 --> 99:59:59,999
and go from making people want our stuff,

277
99:59:59,999 --> 99:59:59,999
to just making stuff that people want
in the first place.

278
99:59:59,999 --> 99:59:59,999
The good news is we're working
on digital nervous systems

279
99:59:59,999 --> 99:59:59,999
that connect us to the things we design.

280
99:59:59,999 --> 99:59:59,999
We're working on one project
with a couple of guys down in Los Angeles

281
99:59:59,999 --> 99:59:59,999
called the Bandito Brothers,

282
99:59:59,999 --> 99:59:59,999
and their team,

283
99:59:59,999 --> 99:59:59,999
and one of the things these guys do
is build insane cars

284
99:59:59,999 --> 99:59:59,999
that do absolutely insane things.

285
99:59:59,999 --> 99:59:59,999
These guys are crazy.

286
99:59:59,999 --> 99:59:59,999
(Laughter)

287
99:59:59,999 --> 99:59:59,999
In the best way.

288
99:59:59,999 --> 99:59:59,999
And what we're doing with them

289
99:59:59,999 --> 99:59:59,999
is taking a traditions racecar [Chassy],

290
99:59:59,999 --> 99:59:59,999
and giving it a nervous system.

291
99:59:59,999 --> 99:59:59,999
So we instrumented it
with dozens of censors,

292
99:59:59,999 --> 99:59:59,999
and then we put a world-class driver
behind the wheel,

293
99:59:59,999 --> 99:59:59,999
took it out to the desert

294
99:59:59,999 --> 99:59:59,999
and drove the hell out of it for a week.

295
99:59:59,999 --> 99:59:59,999
And the car's nervous system captured
everything that was happening to car.

296
99:59:59,999 --> 99:59:59,999
We captured four billion data points.

297
99:59:59,999 --> 99:59:59,999
All of the forces
that it was subjected to.

298
99:59:59,999 --> 99:59:59,999
And then we did something crazy.

299
99:59:59,999 --> 99:59:59,999
We took all of that data,

300
99:59:59,999 --> 99:59:59,999
and plugged it into a generative
design AI that we call, "Dreamcatcher."

301
99:59:59,999 --> 99:59:59,999
So what do get when you give
a design tool a nervous system,

302
99:59:59,999 --> 99:59:59,999
and you ask it to build you
the ultimate car [chassy]?

303
99:59:59,999 --> 99:59:59,999
You get this.

304
99:59:59,999 --> 99:59:59,999
This is something that human
could never have designed.

305
99:59:59,999 --> 99:59:59,999
Except a human did design this,

306
99:59:59,999 --> 99:59:59,999
but it was a human that was augmented
by a generative design AI,

307
99:59:59,999 --> 99:59:59,999
a digital nervous system,

308
99:59:59,999 --> 99:59:59,999
and robots that can actually
fabricate something like this.

309
99:59:59,999 --> 99:59:59,999
So if this is the future,

310
99:59:59,999 --> 99:59:59,999
the Augmented Age,

311
99:59:59,999 --> 99:59:59,999
and we're going to be augemented
cognitively, physically and perceptually,

312
99:59:59,999 --> 99:59:59,999
what will that look like?

313
99:59:59,999 --> 99:59:59,999
What is this wonderland going to be like?

314
99:59:59,999 --> 99:59:59,999
I think we're going to see a world

315
99:59:59,999 --> 99:59:59,999
where we're moving from
things that are fabricated

316
99:59:59,999 --> 99:59:59,999
to things that are farmed.

317
99:59:59,999 --> 99:59:59,999
Where we're moving from things
that are constructed

318
99:59:59,999 --> 99:59:59,999
to that which is grown.

319
99:59:59,999 --> 99:59:59,999
We're going to move from being isolated

320
99:59:59,999 --> 99:59:59,999
to being connected,

321
99:59:59,999 --> 99:59:59,999
and we'll move away from extraction

322
99:59:59,999 --> 99:59:59,999
to embrace aggregation.

323
99:59:59,999 --> 99:59:59,999
I also think we'll shift from craving
obedience from our things

324
99:59:59,999 --> 99:59:59,999
to valuing autonomy.

325
99:59:59,999 --> 99:59:59,999
Thanks to our augmented capabilities,

326
99:59:59,999 --> 99:59:59,999
our world is going to change dramatically.

327
99:59:59,999 --> 99:59:59,999
We're going to have a world
with more variety,

328
99:59:59,999 --> 99:59:59,999
more connectedness,

329
99:59:59,999 --> 99:59:59,999
more dynamism,

330
99:59:59,999 --> 99:59:59,999
more complexity,

331
99:59:59,999 --> 99:59:59,999
more adaptability,

332
99:59:59,999 --> 99:59:59,999
and of course,

333
99:59:59,999 --> 99:59:59,999
more beauty.

334
99:59:59,999 --> 99:59:59,999
The shape of things to come

335
99:59:59,999 --> 99:59:59,999
will be unlike anything
we've ever seen before.

336
99:59:59,999 --> 99:59:59,999
Why?

337
99:59:59,999 --> 99:59:59,999
Because what will be shaping those things

338
99:59:59,999 --> 99:59:59,999
is this new partnership between
technology, nature and humanity.

339
99:59:59,999 --> 99:59:59,999
That to me is a future
well worth looking forward to.

340
99:59:59,999 --> 99:59:59,999
Thank you all so much.

341
99:59:59,999 --> 99:59:59,999
(Applause)