Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated:
1
00:00:06,505 --> 00:00:09,575
Welcome
to YouTube Original Stages,
2
00:00:09,608 --> 00:00:12,979
once home to Howard Hughes's
Spruce Goose assembly hangar,
3
00:00:13,012 --> 00:00:14,847
and home to much of
the first Iron Man,
4
00:00:14,881 --> 00:00:16,483
filmed 12 years ago.
5
00:00:17,149 --> 00:00:18,885
Many happy memories here.
6
00:00:18,918 --> 00:00:21,354
And speaking
of taking a look back...
7
00:00:21,387 --> 00:00:22,655
Technology.
8
00:00:22,688 --> 00:00:24,123
It's advancing faster
9
00:00:24,156 --> 00:00:25,892
and taking less time
to be widely adopted
10
00:00:25,925 --> 00:00:27,393
than ever before,
11
00:00:27,427 --> 00:00:30,196
like as in
it took roughly 10,000 years
12
00:00:30,229 --> 00:00:32,065
to go from writing
to printing press,
13
00:00:32,098 --> 00:00:34,700
but only about 500 more
to get to email.
14
00:00:34,734 --> 00:00:38,171
Now it seems
we're at the dawn of a new age,
15
00:00:38,204 --> 00:00:39,739
the age of A.I...
16
00:00:39,772 --> 00:00:41,507
Artificial Intelligence.
17
00:00:41,541 --> 00:00:42,875
Please define.
18
00:00:48,314 --> 00:00:50,015
Uh-huh, okay.
There you have it.
19
00:00:50,049 --> 00:00:52,017
What does it mean?
I don't know.
20
00:00:52,051 --> 00:00:53,552
Tons of folks
are working on it, right?
21
00:00:53,585 --> 00:00:55,155
Most people don't know
that much about it,
22
00:00:55,188 --> 00:00:56,822
and of course,
there's no shortage
23
00:00:56,856 --> 00:00:58,123
of data or opinions.
24
00:00:58,157 --> 00:00:59,859
Anyway, I've heard it said
25
00:00:59,893 --> 00:01:01,861
that the best way
to learn about a subject
26
00:01:01,894 --> 00:01:02,896
is to teach it,
27
00:01:02,929 --> 00:01:04,197
but to level with ya,
28
00:01:04,230 --> 00:01:06,999
I have a wildly
incomplete education...
29
00:01:07,032 --> 00:01:08,501
Not in my day job,
30
00:01:08,534 --> 00:01:11,137
where I've been A.I.-adjacent
for over a decade.
31
00:01:11,170 --> 00:01:13,473
Anyway, I figured now
would be as good a time as any
32
00:01:13,506 --> 00:01:15,407
to catch up
on the state of things
33
00:01:15,441 --> 00:01:17,543
regarding
this emerging phenomenon.
34
00:01:17,576 --> 00:01:20,779
My sense of it
is it kind of feels like
35
00:01:20,813 --> 00:01:23,115
Pandora's box,
maybe... ish?
36
00:01:23,148 --> 00:01:24,884
Much of my understanding
on this topic
37
00:01:24,917 --> 00:01:26,786
has come from sci-fi stories,
38
00:01:26,819 --> 00:01:28,054
which usually depict us
39
00:01:28,087 --> 00:01:30,590
heading toward Shangri-La
or dystopia.
40
00:01:30,623 --> 00:01:31,791
Like most things,
41
00:01:31,824 --> 00:01:34,660
I suspect the truth is probably
somewhere in the middle.
42
00:01:34,694 --> 00:01:35,628
Now, along the way,
43
00:01:35,661 --> 00:01:37,497
we'll demystify
some common misconceptions
44
00:01:37,530 --> 00:01:40,633
about things we thought
we understood,
but probably don't,
45
00:01:40,667 --> 00:01:42,135
terms such as
46
00:01:42,168 --> 00:01:44,136
"machine learning,"
"algorithms,"
47
00:01:44,170 --> 00:01:46,940
"computer vision"
and "Big Data,"
48
00:01:46,973 --> 00:01:48,741
they will be
conveniently unpacked
49
00:01:48,775 --> 00:01:51,544
to help us feel like
we know what we're doing,
50
00:01:51,577 --> 00:01:52,412
kinda.
51
00:01:52,445 --> 00:01:54,681
By the way, Pandora's box...
52
00:01:58,485 --> 00:01:59,652
wasn't a box.
53
00:02:00,853 --> 00:02:02,255
It...
54
00:02:02,922 --> 00:02:04,791
was a clay jar.
55
00:02:04,824 --> 00:02:06,492
How about that?
56
00:02:06,525 --> 00:02:08,428
Demystified.
57
00:02:11,096 --> 00:02:14,200
A.I. is teaching the machine,
58
00:02:14,234 --> 00:02:17,236
and the machine
becoming smart.
59
00:02:17,270 --> 00:02:19,705
Each time we create
a more powerful technology,
60
00:02:19,738 --> 00:02:22,441
we create a bigger lever
for changing the world.
61
00:02:22,475 --> 00:02:24,677
Autonomous driving started.
62
00:02:24,711 --> 00:02:26,345
It's an extraordinary time,
63
00:02:26,378 --> 00:02:29,315
one of unprecedented
change and possibility.
64
00:02:30,483 --> 00:02:32,318
To help us understand
what's happening,
65
00:02:32,352 --> 00:02:34,187
this series
will look at innovators
66
00:02:34,220 --> 00:02:35,921
pushing the boundaries
of A.I...
67
00:02:35,954 --> 00:02:37,189
No, stop!
68
00:02:37,223 --> 00:02:38,991
...and how
their groundbreaking work
69
00:02:39,025 --> 00:02:40,894
is profoundly impacting
our lives...
70
00:02:40,927 --> 00:02:42,194
Yay!
71
00:02:42,228 --> 00:02:44,463
...and the world around us.
72
00:02:44,496 --> 00:02:47,266
In this episode, we'll meet
two different visionaries
73
00:02:47,299 --> 00:02:49,302
exploring identity, creativity,
74
00:02:49,335 --> 00:02:52,438
and collaboration
between humans and machines.
75
00:02:52,471 --> 00:02:55,007
Intelligence used to be
the province of only humans,
76
00:02:55,041 --> 00:02:56,375
but it no longer is.
77
00:02:56,409 --> 00:02:58,912
We don't program the machines.
They learn by themselves.
78
00:03:09,155 --> 00:03:12,024
Mm. Ah. That's good.
79
00:03:12,058 --> 00:03:14,093
All right.
80
00:03:14,126 --> 00:03:17,430
My background's always been
a mixture of art and science.
81
00:03:18,564 --> 00:03:21,767
I ended up doing a PhD
in bioengineering,
82
00:03:21,801 --> 00:03:24,437
then I ended up
in the film industry,
83
00:03:24,470 --> 00:03:27,073
working on King Kong
to Avatar,
84
00:03:27,106 --> 00:03:28,841
simulating faces.
85
00:03:30,009 --> 00:03:31,844
I'd got to a point
in my career
86
00:03:31,877 --> 00:03:32,912
where I'd been, you know,
87
00:03:32,946 --> 00:03:35,081
lucky enough to win
a couple of Academy Awards,
88
00:03:35,114 --> 00:03:37,283
so I thought,
"Okay, what happens
89
00:03:37,317 --> 00:03:40,319
if we actually tried to bring
those characters to life,
90
00:03:40,353 --> 00:03:42,722
that actually
you could interact with?"
91
00:03:45,124 --> 00:03:47,126
Baby... Ooh.
92
00:03:48,761 --> 00:03:49,795
What can you see?
93
00:03:49,829 --> 00:03:54,199
So "Baby X" is a lifelike
simulation of a toddler.
94
00:03:54,233 --> 00:03:57,470
Hey. Are you
excited to be here?
95
00:03:57,503 --> 00:03:59,338
She's actually seeing me
through the web camera,
96
00:03:59,371 --> 00:04:02,141
she's listening
through the microphone.
97
00:04:02,174 --> 00:04:04,577
Woo... yeah.
98
00:04:04,610 --> 00:04:07,346
Baby X is about
exploring the nature
99
00:04:07,380 --> 00:04:09,349
of how would we build
a digital consciousness,
100
00:04:09,382 --> 00:04:10,549
if it's possible?
101
00:04:10,582 --> 00:04:12,218
We don't know
if it's possible,
102
00:04:12,251 --> 00:04:14,053
but we're chipping away
at that problem.
103
00:04:14,086 --> 00:04:15,588
Hey, Baby. Hey.
104
00:04:15,621 --> 00:04:17,423
"Problem" is an understatement
105
00:04:17,456 --> 00:04:19,024
for what
Mark's chipping away at.
106
00:04:19,058 --> 00:04:20,359
His vision of the future
107
00:04:20,393 --> 00:04:22,562
is one where
human and machine cooperate,
108
00:04:22,595 --> 00:04:25,397
and the best way
to achieve that, he thinks,
109
00:04:25,431 --> 00:04:28,834
is to make A.I.
as life-like as possible.
110
00:04:28,867 --> 00:04:31,137
Peek-a-boo!
111
00:04:32,638 --> 00:04:35,274
Which is why he began
where most life begins...
112
00:04:35,307 --> 00:04:36,575
a baby...
113
00:04:36,609 --> 00:04:39,078
modeled
after his own daughter.
114
00:04:39,111 --> 00:04:41,614
So if we start
revealing her layers,
115
00:04:41,647 --> 00:04:43,582
she's driven by virtual muscles,
116
00:04:43,616 --> 00:04:45,551
and the virtual muscles,
in turn,
117
00:04:45,584 --> 00:04:47,553
are driven by a virtual brain.
118
00:04:47,586 --> 00:04:49,888
Now, these are
radically simplified models
119
00:04:49,922 --> 00:04:51,024
from the real thing,
120
00:04:51,057 --> 00:04:52,325
but nevertheless,
121
00:04:52,358 --> 00:04:54,593
they're models that
we can explore how they work,
122
00:04:54,627 --> 00:04:56,996
because we have
a real template that exists,
123
00:04:57,030 --> 00:04:58,398
the human brain.
124
00:04:59,932 --> 00:05:02,869
So, these are all driven
by neural networks.
125
00:05:03,869 --> 00:05:04,803
"Neural network"
126
00:05:04,837 --> 00:05:06,773
is a virtual,
much simpler version
127
00:05:06,806 --> 00:05:07,940
of the human brain.
128
00:05:07,974 --> 00:05:11,143
The brain is the most
complex system in our body.
129
00:05:11,177 --> 00:05:14,880
It's got 85 billion neurons,
each of which fire non-stop,
130
00:05:14,914 --> 00:05:19,385
receiving, processing,
and sending information.
131
00:05:19,418 --> 00:05:22,021
Baby X's brain
is nowhere near as complex,
132
00:05:22,054 --> 00:05:23,856
but that's the goal.
133
00:05:23,890 --> 00:05:26,625
Instead of neurons,
it's got nodes.
134
00:05:26,658 --> 00:05:28,494
The more the nodes
are exposed to,
135
00:05:28,527 --> 00:05:30,129
the more they learn.
136
00:05:30,163 --> 00:05:32,431
What we've learned
is it's very hard to build
a digital brain,
137
00:05:32,465 --> 00:05:34,466
but where we want to go
with it
138
00:05:34,500 --> 00:05:37,503
is we're trying to build
a human-like A.I.
139
00:05:37,537 --> 00:05:39,271
which has
a flexible intelligence
140
00:05:39,305 --> 00:05:40,873
that can relate to people.
141
00:05:41,607 --> 00:05:43,409
I think
the best kind of systems
142
00:05:43,442 --> 00:05:46,179
are when humans and A.I.
work together.
143
00:05:46,212 --> 00:05:49,549
One of the biggest
misconceptions of A.I.
144
00:05:49,582 --> 00:05:52,351
is that there is
a super-intelligent being,
145
00:05:52,384 --> 00:05:54,253
or what we call
a generalized A.I.,
146
00:05:54,286 --> 00:05:56,655
that knows all, can do all,
147
00:05:56,688 --> 00:05:59,124
smarter than all of us
put together.
148
00:05:59,157 --> 00:06:01,093
That is a total misconception.
149
00:06:01,127 --> 00:06:03,629
A.I. is built on us.
150
00:06:03,663 --> 00:06:06,365
A.I. is mimicking
our thought processes.
151
00:06:06,398 --> 00:06:09,569
A.I. is basically
an emulation of us.
152
00:06:11,037 --> 00:06:13,939
Like visionaries before him,
Mark's a dreamer.
153
00:06:13,973 --> 00:06:16,475
The current state
of his moonshot, however,
154
00:06:16,508 --> 00:06:17,809
is a little more earthbound.
155
00:06:17,843 --> 00:06:19,845
Thank you
for granting access
156
00:06:19,879 --> 00:06:22,448
to your microphone.
It's good to hear you.
157
00:06:22,481 --> 00:06:23,749
Today, most avatars
158
00:06:23,783 --> 00:06:26,652
are basically glorified
customer-service reps.
159
00:06:26,685 --> 00:06:27,720
Rest assured,
160
00:06:27,753 --> 00:06:29,455
your health
is my primary concern.
161
00:06:29,488 --> 00:06:31,290
They can answer
simple questions
162
00:06:31,323 --> 00:06:33,091
and give scripted responses.
163
00:06:33,125 --> 00:06:35,060
I love
helping our customers,
164
00:06:35,094 --> 00:06:36,863
so I'm keen to keep learning.
165
00:06:36,896 --> 00:06:39,832
Beats dealing with
automated phonelines for sure,
166
00:06:39,866 --> 00:06:42,268
but it's a far cry
from Mark's ultimate vision...
167
00:06:42,301 --> 00:06:43,635
Hey, Baby. Hey.
168
00:06:43,669 --> 00:06:46,672
...to create avatars
that can actually learn,
169
00:06:46,706 --> 00:06:49,341
interpret, and interact
with the world around them,
170
00:06:49,375 --> 00:06:51,310
like a real human.
171
00:06:51,343 --> 00:06:53,145
What's this?
172
00:06:53,178 --> 00:06:55,080
Spider.
173
00:06:55,114 --> 00:06:58,050
So we're starting
to get a spider forming
in her mind here,
174
00:06:58,083 --> 00:07:00,853
she's starting to associate
the word with the image.
175
00:07:00,887 --> 00:07:03,122
So, Baby... spider.
176
00:07:04,156 --> 00:07:05,324
Spider.
177
00:07:05,357 --> 00:07:06,893
Spider...
178
00:07:06,926 --> 00:07:10,096
Good! Okay, what's this?
179
00:07:10,830 --> 00:07:12,130
Spider.
180
00:07:12,164 --> 00:07:14,233
No. This is a duck.
181
00:07:14,266 --> 00:07:15,901
Look at the duck.
182
00:07:15,934 --> 00:07:17,302
Duck.
183
00:07:17,336 --> 00:07:18,904
Yeah.
184
00:07:18,937 --> 00:07:22,742
Baby X uses a type of A.I.
called "object recognition."
185
00:07:23,809 --> 00:07:27,646
Basically,
it's how a computer sees...
186
00:07:27,680 --> 00:07:29,915
how it identifies an object,
like a spider,
187
00:07:29,949 --> 00:07:33,485
or tells the difference
between a spider and a duck.
188
00:07:33,518 --> 00:07:36,255
It's something
that you and I do naturally...
189
00:07:36,288 --> 00:07:39,525
...but machines, like Baby X,
need to learn from scratch,
190
00:07:39,558 --> 00:07:42,695
by basically sifting
through enormous piles of data
191
00:07:42,728 --> 00:07:44,096
to search for patterns,
192
00:07:44,130 --> 00:07:46,165
so that eventually,
it can drive a car,
193
00:07:46,199 --> 00:07:49,001
or pick out a criminal
in a crowded photograph,
194
00:07:49,035 --> 00:07:52,438
or tell the difference
between me and... that guy.
195
00:07:52,471 --> 00:07:55,607
But now I'm gonna tell her
that spiders are scary.
196
00:07:55,641 --> 00:07:59,211
Look out!
Rawr! Scary spider! Rawr!
197
00:08:00,846 --> 00:08:03,248
Hey, hey. Don't cry.
It's okay. Hey...
198
00:08:04,250 --> 00:08:05,417
Hey, it's okay.
199
00:08:05,451 --> 00:08:08,087
Now she's responding emotionally
to me as well,
200
00:08:08,120 --> 00:08:10,722
so we've gone all the way down
201
00:08:10,756 --> 00:08:14,593
to virtual neurotransmitters,
hormones, and so forth,
202
00:08:14,626 --> 00:08:15,995
so Baby X has a stress system.
203
00:08:16,595 --> 00:08:18,397
If I give her a fright...
204
00:08:18,431 --> 00:08:19,465
Boo!
205
00:08:19,498 --> 00:08:20,733
So we'll see basically
206
00:08:20,766 --> 00:08:22,902
some noradrenaline
was released then,
207
00:08:22,935 --> 00:08:25,737
and she's gone into a much more
vigilant state of mind.
208
00:08:25,771 --> 00:08:27,506
What Mark is working on
209
00:08:27,539 --> 00:08:29,875
is known as
"affective computing,"
210
00:08:29,908 --> 00:08:33,612
A.I. that interprets
and simulates human emotion.
211
00:08:33,646 --> 00:08:36,849
I believe that machines
are gonna interact with humans
212
00:08:36,882 --> 00:08:38,917
just the way
we interact with one another,
213
00:08:38,950 --> 00:08:41,120
through perception,
through conversation.
214
00:08:41,153 --> 00:08:44,390
So as A.I.
continues to become mainstream,
215
00:08:44,423 --> 00:08:46,759
it needs
to really understand humans,
216
00:08:46,792 --> 00:08:49,461
and so we want
to build emotion A.I.
217
00:08:49,495 --> 00:08:51,864
that enables machines
to have empathy.
218
00:08:51,897 --> 00:08:53,265
Hello, Pepa.
219
00:08:53,299 --> 00:08:55,233
-Hello.
- Hello.
220
00:08:55,267 --> 00:08:57,036
-Hello.
- Hello.
221
00:08:57,069 --> 00:08:58,303
-Hello.
222
00:08:58,336 --> 00:08:59,638
Oh, dear.
223
00:08:59,671 --> 00:09:02,041
-We can do this forever.
- I know we could.
224
00:09:02,074 --> 00:09:04,009
They've showed,
for example,
225
00:09:04,043 --> 00:09:07,112
older adults who have A.I. aides
at their nursing homes,
226
00:09:07,146 --> 00:09:08,647
they are happier
227
00:09:08,680 --> 00:09:10,783
with a robot that emotes
and is social
228
00:09:10,816 --> 00:09:12,851
than having no one there.
229
00:09:12,885 --> 00:09:16,422
That's really the enhancement
of human relationships.
230
00:09:16,455 --> 00:09:19,158
Hey...
Hello.
231
00:09:19,191 --> 00:09:20,826
You know, human cooperation
232
00:09:20,860 --> 00:09:23,763
is the most powerful force
in human history, right?
233
00:09:23,796 --> 00:09:26,065
Human cooperation
with intelligent machines
234
00:09:26,098 --> 00:09:28,868
will define
the next era of history.
235
00:09:28,901 --> 00:09:31,670
Using a machine
which is connected
236
00:09:31,704 --> 00:09:34,040
with the rest of the world
through the Internet,
237
00:09:34,073 --> 00:09:37,476
that can work as a creative,
collaborative partner?
238
00:09:37,510 --> 00:09:39,245
That's unbelievable.
239
00:09:47,820 --> 00:09:50,289
Jessica. Jessica.
One more time, one more time.
240
00:09:50,322 --> 00:09:52,792
We're gonna go
from just the first two verses,
241
00:09:52,825 --> 00:09:53,859
and the first two verses
242
00:09:53,892 --> 00:09:56,128
will take us
to three minutes, okay?
243
00:09:56,162 --> 00:09:57,463
I love music.
244
00:09:57,496 --> 00:09:59,665
The whole concept of music
is collaboration,
245
00:09:59,698 --> 00:10:01,734
so if there are some people
that see me as a musician,
246
00:10:01,767 --> 00:10:02,902
that's awesome.
247
00:10:06,706 --> 00:10:08,874
I first
became interested in A.I.
248
00:10:08,907 --> 00:10:11,510
because A.I.
is a very fruitful place
to create in.
249
00:10:11,543 --> 00:10:13,612
It's a new tool for us.
250
00:10:13,645 --> 00:10:16,182
I dream,
and make my dreams reality,
251
00:10:16,215 --> 00:10:17,783
whether the dream is a song
252
00:10:17,816 --> 00:10:20,853
or the dream
is an avatar of myself.
253
00:10:20,886 --> 00:10:24,022
One time, a friend was like,
"Well, you can't clone yourself.
254
00:10:24,055 --> 00:10:25,891
You can't be
in two places at once."
255
00:10:25,925 --> 00:10:28,094
That's the promise
of the avatar.
256
00:10:29,361 --> 00:10:30,563
I left it over there.
257
00:10:30,596 --> 00:10:32,764
All right, here we go.
258
00:10:32,797 --> 00:10:35,000
So, you're about
to enter the Matrix.
259
00:10:35,033 --> 00:10:39,672
I'm gonna sort of direct you
through just a bunch of poses.
260
00:10:39,705 --> 00:10:41,706
The team from Soul Machines
261
00:10:41,740 --> 00:10:44,143
is here to create
a digital avatar of myself.
262
00:10:44,176 --> 00:10:46,679
They had to put me
in this huge contraption
263
00:10:46,712 --> 00:10:48,414
with these crazy lights.
264
00:10:49,582 --> 00:10:50,916
What do you want me to do?
265
00:10:50,949 --> 00:10:52,751
Your face is an instrument.
266
00:10:52,785 --> 00:10:55,421
All the wrinkles on the face
is like a signature,
267
00:10:55,454 --> 00:10:56,789
so we want to get
268
00:10:56,822 --> 00:10:59,758
the highest-quality digital
model of you that we can.
269
00:10:59,792 --> 00:11:01,626
Okay.
270
00:11:01,660 --> 00:11:03,629
Yeah, that's perfect.
Okay, go.
271
00:11:06,164 --> 00:11:09,935
So we have to capture
all the textures of their face.
272
00:11:09,968 --> 00:11:11,703
The geometry of their face...
273
00:11:11,736 --> 00:11:13,339
Big, gnashy teeth.
274
00:11:13,372 --> 00:11:15,140
How their face deforms
275
00:11:15,173 --> 00:11:17,443
to form the different
facial expressions.
276
00:11:17,476 --> 00:11:18,577
And how about a kiss?
277
00:11:18,610 --> 00:11:19,544
You could do...
278
00:11:19,578 --> 00:11:20,746
With my eyes closed?
279
00:11:20,779 --> 00:11:21,880
'Cause I don't kiss
with my eyes open.
280
00:11:21,913 --> 00:11:23,816
Every once in a while,
I peek.
281
00:11:25,484 --> 00:11:26,785
I wanted to have
282
00:11:26,819 --> 00:11:29,421
a digital avatar
around the idea of Idatity,
283
00:11:29,454 --> 00:11:32,791
and that's the marriage
of my data and my identity.
284
00:11:32,825 --> 00:11:35,193
Everyone's concerned
about, like, identity theft.
285
00:11:35,227 --> 00:11:38,063
Meanwhile,
everybody's giving away
all their data for free
286
00:11:38,097 --> 00:11:38,964
on the Internet.
287
00:11:38,998 --> 00:11:41,633
I'm what I like
and what I don't like,
288
00:11:41,667 --> 00:11:43,635
I'm where I go,
I'm who I know.
289
00:11:43,668 --> 00:11:45,704
I'm what I search.
I am my thumbprint.
290
00:11:45,738 --> 00:11:48,073
I am my data.
That's who I am.
291
00:11:48,106 --> 00:11:49,842
You pull your eyelids down
like that.
292
00:11:49,875 --> 00:11:51,209
We want to get that... yup.
293
00:11:51,243 --> 00:11:53,212
When I'm on Instagram
and I'm on Google,
294
00:11:53,245 --> 00:11:56,949
I'm actually programming
those algorithms
to better understand me.
295
00:11:56,982 --> 00:11:58,216
Awesome.
296
00:11:58,250 --> 00:12:00,719
In the future,
my avatar's gonna be
doing all that stuff,
297
00:12:00,752 --> 00:12:02,121
because I'm gonna program it.
298
00:12:02,154 --> 00:12:05,124
Get entertained through it,
get information through it,
299
00:12:05,157 --> 00:12:06,391
and you feel like
300
00:12:06,424 --> 00:12:09,828
you're having a FaceTime
with an intelligent entity.
301
00:12:09,861 --> 00:12:11,564
"Yo, check out this link."
302
00:12:11,597 --> 00:12:12,864
"Oh, wow, that's crazy."
303
00:12:12,898 --> 00:12:15,467
"Yo, can you post that
on my Twitter?"
304
00:12:17,803 --> 00:12:19,838
- Hey.
- Hey.
305
00:12:19,872 --> 00:12:22,708
All right,
I'm the Soul Machines
lead audio engineer.
306
00:12:22,741 --> 00:12:26,412
Hopefully
we'll be able to build
an A.I. version of your voice.
307
00:12:26,445 --> 00:12:29,147
After creating Will's look,
308
00:12:29,180 --> 00:12:31,817
then we now
have to create his voice.
309
00:12:31,850 --> 00:12:34,820
For that, we actually have
to capture a lot of samples
310
00:12:34,853 --> 00:12:36,388
about how Will speaks,
311
00:12:36,422 --> 00:12:39,124
and that's actually
quite a challenging process.
312
00:12:39,157 --> 00:12:41,460
- Shall we kick off?
- Yeah, let's kick off.
313
00:12:41,493 --> 00:12:42,995
- A'ight, boo, here we go.
- Yeah.
314
00:12:43,028 --> 00:12:44,897
I'm Will,
and I'm happy to meet you.
315
00:12:44,930 --> 00:12:47,666
I'm here to bring
technology to life,
316
00:12:47,699 --> 00:12:50,468
and let's talk about
Artificial Intelligence.
317
00:12:50,502 --> 00:12:53,405
Oops. Really? Whoa.
318
00:12:53,438 --> 00:12:54,773
That's dope!
319
00:12:54,806 --> 00:12:57,142
So there's so many ways
of saying "dope," bro.
320
00:12:57,175 --> 00:12:58,010
Yeah, yeah.
321
00:12:58,043 --> 00:12:59,945
Now, how realistic
is it going to be?
322
00:12:59,978 --> 00:13:01,647
This will sound like you.
323
00:13:01,680 --> 00:13:04,717
The sentences
can be divided up into parts
324
00:13:04,750 --> 00:13:06,618
so that we can create words
325
00:13:06,651 --> 00:13:08,787
and build sentences,
like LEGO blocks.
326
00:13:08,820 --> 00:13:11,356
It will sound
exactly like you.
327
00:13:11,390 --> 00:13:13,993
Well, maybe we don't want
to have it too accurate.
328
00:13:14,026 --> 00:13:18,663
So you don't freak people out,
maybe I don't want it accurate.
329
00:13:18,697 --> 00:13:20,832
Maybe, there should be
some type of...
330
00:13:20,865 --> 00:13:21,934
"That's the A.I.,"
331
00:13:21,967 --> 00:13:23,568
'cause this
is all new ground.
332
00:13:23,602 --> 00:13:25,070
- Yeah.
- Like, we've...
333
00:13:25,104 --> 00:13:27,206
we are in an intersection
of a place
334
00:13:27,239 --> 00:13:28,907
that we've never been
in society,
335
00:13:28,940 --> 00:13:31,109
where people have to determine
336
00:13:31,143 --> 00:13:33,412
what's real
and what's not.
337
00:13:35,480 --> 00:13:37,382
While Mark
jets back to New Zealand
338
00:13:37,416 --> 00:13:39,918
to try to create
Will's digital doppelganger,
339
00:13:39,951 --> 00:13:42,387
Will's left waiting,
and wondering...
340
00:13:42,420 --> 00:13:44,522
can Mark pull this off?
341
00:13:44,556 --> 00:13:45,758
What does it mean
342
00:13:45,791 --> 00:13:47,659
to have a lifelike
avatar of you?
343
00:13:47,692 --> 00:13:50,696
A digital replicant
of yourself?
344
00:13:50,729 --> 00:13:52,498
Is that a good idea?
345
00:13:52,531 --> 00:13:54,466
How far is too far?
346
00:13:54,499 --> 00:13:56,735
We've been
collaborating with machines
347
00:13:56,768 --> 00:13:58,370
since the dawn of technology.
348
00:13:58,404 --> 00:14:00,138
I mean, even today,
349
00:14:00,171 --> 00:14:02,274
in some sense,
we are all cyborgs already.
350
00:14:02,307 --> 00:14:03,775
For example,
351
00:14:03,809 --> 00:14:06,144
you use OKCupid
to find a date,
352
00:14:06,177 --> 00:14:09,514
and then you use Yelp
to decide where to go, you know,
353
00:14:09,547 --> 00:14:10,882
what restaurant to go to,
354
00:14:10,915 --> 00:14:12,451
and then
you start driving your car,
355
00:14:12,484 --> 00:14:15,220
but there's a GPS system that
actually tells you where to go.
356
00:14:15,254 --> 00:14:17,923
So the human
and the machine decision-making
357
00:14:17,956 --> 00:14:19,491
are very tightly interwoven,
358
00:14:19,525 --> 00:14:22,294
and I think this will
only increase as we go forward.
359
00:14:25,764 --> 00:14:29,501
Human collaboration
with intelligent machines...
360
00:14:29,535 --> 00:14:31,770
A different musician
in a different town
361
00:14:31,803 --> 00:14:32,871
with a different approach
362
00:14:32,904 --> 00:14:34,940
is giving the same problem
a shot.
363
00:14:34,973 --> 00:14:36,775
People are concerned
364
00:14:36,808 --> 00:14:38,710
about A.I. replacing humans,
365
00:14:38,743 --> 00:14:40,445
and I think
it is not only
366
00:14:40,478 --> 00:14:42,948
not going to replace humans,
it's going to enhance humans.
367
00:14:45,784 --> 00:14:48,119
I'm Gil Weinberg.
I'm the founding director
368
00:14:48,153 --> 00:14:50,522
of Georgia Tech Center
for Music Technology.
369
00:14:51,823 --> 00:14:53,992
Ready?
370
00:14:54,025 --> 00:14:57,295
In my lab, we are trying
to create the new technologies
371
00:14:57,329 --> 00:15:00,799
that will explore
new ways to be expressive...
372
00:15:00,832 --> 00:15:02,801
to be creative...
373
00:15:02,835 --> 00:15:05,571
Shimon,
it's a marimba-playing robot.
374
00:15:08,039 --> 00:15:11,643
What it does
is listen to humans playing,
375
00:15:11,676 --> 00:15:14,346
and it can improvise.
376
00:15:15,681 --> 00:15:18,350
Shimon is
our first robotic musician
377
00:15:18,383 --> 00:15:20,753
that has the ability
to find patterns,
378
00:15:20,786 --> 00:15:22,054
so, machine learning.
379
00:15:23,956 --> 00:15:25,190
Machine learning
380
00:15:25,224 --> 00:15:28,326
is the ability
to find patterns in data.
381
00:15:28,360 --> 00:15:31,463
So, for example,
if we feed Shimon
Miles Davis,
382
00:15:31,496 --> 00:15:32,463
it will try to see
383
00:15:32,497 --> 00:15:34,766
what note is he likely to play
after what note,
384
00:15:34,799 --> 00:15:38,103
and once it finds its patterns,
it can start to manipulate it,
385
00:15:38,136 --> 00:15:40,205
and I can have the robot
playing in a style
386
00:15:40,239 --> 00:15:43,575
that maybe is 30% Miles Davis,
30% Bach,
387
00:15:43,609 --> 00:15:46,377
30% Madonna,
and 10% my own,
388
00:15:46,411 --> 00:15:50,048
and create morphing of music
that humans would never create.
389
00:15:55,320 --> 00:15:56,688
Gil's groundbreaking work
390
00:15:56,722 --> 00:15:59,725
in artificial creativity
and musical expression
391
00:15:59,758 --> 00:16:02,561
has been performed
by symphonies
around the world...
392
00:16:03,695 --> 00:16:04,997
...but his innovation
393
00:16:05,030 --> 00:16:07,566
also caught the attention
of another musician...
394
00:16:07,599 --> 00:16:08,634
Okay.
395
00:16:08,667 --> 00:16:10,869
...a guy who
unexpectedly pushed Gil
396
00:16:10,902 --> 00:16:12,671
beyond enhancing robots
397
00:16:12,704 --> 00:16:15,040
to augmenting humans.
398
00:16:15,073 --> 00:16:17,809
I met Jason Barnes
about six years ago,
399
00:16:17,842 --> 00:16:20,912
when I was just about finishing
one phase of developing Shimon,
400
00:16:20,945 --> 00:16:24,549
and I was starting to think,
"What's next?"
401
00:16:24,583 --> 00:16:27,819
I got my first
drum kit when I was 15,
on Christmas,
402
00:16:27,852 --> 00:16:30,021
and when I lost my limb,
I was 22,
403
00:16:30,054 --> 00:16:32,358
so I was kind of used
to having two limbs.
404
00:16:34,392 --> 00:16:36,995
I started trying
to fabricate prosthetics
405
00:16:37,028 --> 00:16:38,697
to try
and get me back on the kit,
406
00:16:38,730 --> 00:16:41,934
which eventually led me
to working and collaborating
with Georgia Tech.
407
00:16:44,269 --> 00:16:46,772
He told me
that he lost his arm,
408
00:16:46,805 --> 00:16:48,606
he was devastated,
he was depressed,
409
00:16:48,640 --> 00:16:49,808
music was his life,
410
00:16:49,841 --> 00:16:53,078
and he said,
"I saw that you develop
robotic musicians.
411
00:16:53,112 --> 00:16:55,080
Can you use some
of the technology that you have
412
00:16:55,113 --> 00:16:59,418
in order to allow me
to play again like I used to?"
413
00:16:59,451 --> 00:17:02,854
So that's the prosthetic arm
that we built for Jason.
414
00:17:02,888 --> 00:17:04,289
When he came to us,
415
00:17:04,323 --> 00:17:06,925
he just wanted to be able
to use sensors here
416
00:17:06,959 --> 00:17:09,961
so he can hold the stick
tight or loose.
417
00:17:09,994 --> 00:17:12,164
I suggested "Let's do that,
but also,
418
00:17:12,197 --> 00:17:13,398
let's have two sticks.
419
00:17:13,431 --> 00:17:15,534
One stick can operate
with a mind of its own,
420
00:17:15,567 --> 00:17:17,435
understanding the music
and improvising.
421
00:17:17,468 --> 00:17:20,305
One stick can operate based on
what you tell it
with your muscle,
422
00:17:20,338 --> 00:17:23,242
and also, each one of the sticks
can play 20 hertz...
423
00:17:24,710 --> 00:17:26,111
...faster than any humans,
424
00:17:26,144 --> 00:17:27,880
and together,
they can create polyrhythm,
425
00:17:27,913 --> 00:17:31,516
create all kind of textures
that humans cannot create."
426
00:17:31,550 --> 00:17:33,485
All right.
I think we're ready to play.
427
00:17:38,123 --> 00:17:40,325
In some ways,
the robotic drum arm
428
00:17:40,359 --> 00:17:43,195
allows Jason to play
better than he ever has,
429
00:17:43,228 --> 00:17:45,196
but it still lacks
the true function,
430
00:17:45,230 --> 00:17:47,732
or feeling,
of a human hand.
431
00:17:47,765 --> 00:17:49,033
They don't provide
432
00:17:49,067 --> 00:17:51,469
the kind of dexterity
and subtle control
433
00:17:51,503 --> 00:17:53,806
that would
really allow anything.
434
00:17:55,607 --> 00:17:56,541
This revelation
435
00:17:56,574 --> 00:17:58,877
drove Gil
to his next innovation...
436
00:17:58,910 --> 00:18:02,146
the Skywalker Hand.
437
00:18:02,180 --> 00:18:04,382
Inspired by Luke Skywalker
from Star Wars,
438
00:18:04,416 --> 00:18:07,252
and created in collaboration
with Jason,
439
00:18:07,285 --> 00:18:09,187
the revolutionary tech
440
00:18:09,221 --> 00:18:11,690
brings what was once
the realm of sci-fi
441
00:18:11,723 --> 00:18:13,725
a little closer to our galaxy.
442
00:18:13,758 --> 00:18:15,727
This is just like
a 3D-printed hand
443
00:18:15,760 --> 00:18:18,263
that you can, like,
download the files online.
444
00:18:18,297 --> 00:18:20,766
Currently,
most advanced prosthetic hands
445
00:18:20,799 --> 00:18:24,135
can't even thumbs-up
or flip you the bird.
446
00:18:24,168 --> 00:18:26,805
They can only open or grip,
447
00:18:26,839 --> 00:18:28,774
using all five fingers
at once.
448
00:18:28,807 --> 00:18:32,210
Most of the prosthetics
that are available
on the market nowadays,
449
00:18:32,243 --> 00:18:34,279
um, actually use
EMG technology,
450
00:18:34,312 --> 00:18:35,814
which stands
for "electromyography,"
451
00:18:35,847 --> 00:18:38,616
and essentially what it does
is there are two sensors
452
00:18:38,650 --> 00:18:40,919
that make contact
with my residual limb,
453
00:18:40,952 --> 00:18:43,755
and they pick up electrical
signals from the muscles...
454
00:18:43,788 --> 00:18:46,090
So again, when I flex
and extend my residual limb,
455
00:18:46,124 --> 00:18:47,959
it will open
and close the hand,
456
00:18:47,992 --> 00:18:50,195
um, and I can rotate as well,
457
00:18:50,228 --> 00:18:51,763
but the problem with EMG
458
00:18:51,796 --> 00:18:54,999
is it's a very vague
electrical signal,
so zero to 100%.
459
00:18:55,032 --> 00:18:56,468
It's not very accurate at all.
460
00:18:56,502 --> 00:18:59,437
The Skywalker Hand
actually uses ultrasound tech.
461
00:18:59,470 --> 00:19:00,972
Ultrasound provides an image,
462
00:19:01,005 --> 00:19:04,443
and you can see
everything that's going on
inside of the arm.
463
00:19:04,476 --> 00:19:07,312
Ultrasound
uses high-frequency sound waves
464
00:19:07,345 --> 00:19:10,182
to capture live images
from inside the body.
465
00:19:11,282 --> 00:19:12,984
As Jason flexes his muscles
466
00:19:13,018 --> 00:19:14,786
to move each
of his missing fingers,
467
00:19:14,819 --> 00:19:19,458
ultrasound generates
live images
that visualize his intention.
468
00:19:20,459 --> 00:19:23,128
The A.I.
then uses machine learning
469
00:19:23,161 --> 00:19:24,462
to predict patterns,
470
00:19:24,496 --> 00:19:26,531
letting a man who's lost
one of his hands
471
00:19:26,564 --> 00:19:29,400
move all five of his fingers
individually,
472
00:19:29,434 --> 00:19:32,270
even if he's as unpredictable
as Keith Moon.
473
00:19:32,304 --> 00:19:34,138
The work that Gil is doing
474
00:19:34,172 --> 00:19:35,440
is really important.
475
00:19:35,474 --> 00:19:37,909
Gil comes from
a non-engineering background,
476
00:19:37,943 --> 00:19:39,912
which means that his technology
477
00:19:39,945 --> 00:19:42,013
and the way
he thinks about robotics
478
00:19:42,046 --> 00:19:43,315
is actually quite different
479
00:19:43,348 --> 00:19:44,816
than, say, the way
I would think about it,
480
00:19:44,849 --> 00:19:46,718
since I come from
an engineering background.
481
00:19:46,751 --> 00:19:49,521
And the commonality is
that we want to design robots
482
00:19:49,554 --> 00:19:52,491
to really impact
and make a difference
in the world.
483
00:19:53,992 --> 00:19:56,261
We were able
to create a proof of concept
484
00:19:56,294 --> 00:19:57,663
with Jason Barnes.
485
00:19:57,696 --> 00:20:01,433
Once we discovered that
we can do this with ultrasound,
486
00:20:01,466 --> 00:20:03,234
immediately I looked at,
487
00:20:03,268 --> 00:20:05,370
"Hey, let's try
to help more people."
488
00:20:10,208 --> 00:20:12,978
That's okay,
just leave me hanging,
holding it.
489
00:20:13,011 --> 00:20:14,346
It's not heavy or anything.
490
00:20:14,379 --> 00:20:15,447
It's safe,
if you want to slide it back...
491
00:20:15,480 --> 00:20:17,349
No, no.
I'm messing with you.
492
00:20:17,382 --> 00:20:18,583
So I met Jason Barnes
493
00:20:18,617 --> 00:20:20,785
at an event called
"Lucky Fin Weekend."
494
00:20:20,819 --> 00:20:23,922
They're a foundation that deals
with limb difference.
495
00:20:23,955 --> 00:20:25,290
There we go.
496
00:20:25,323 --> 00:20:27,526
- Ah, all right.
- And it's out.
497
00:20:27,559 --> 00:20:29,361
Do you ever work on your car
498
00:20:29,394 --> 00:20:30,762
without the hook?
499
00:20:30,795 --> 00:20:33,765
Not really. It's just way easier
and efficient for me to...
500
00:20:33,798 --> 00:20:36,334
The hook, the hook really
trips me out, though, man.
501
00:20:36,368 --> 00:20:38,503
When I lost my hand,
502
00:20:38,536 --> 00:20:39,938
it was close to 30 years ago,
503
00:20:39,971 --> 00:20:42,574
and prosthetics were
kind of stuck in the Dark Ages.
504
00:20:47,879 --> 00:20:50,782
In general, they didn't
really do a whole lot,
505
00:20:50,815 --> 00:20:52,049
and even if they moved,
506
00:20:52,083 --> 00:20:55,821
they seemed to be more passive
than actually worthwhile to use.
507
00:20:58,757 --> 00:21:01,059
I don't like to talk
about my accident,
508
00:21:01,092 --> 00:21:03,495
because I don't feel
it defines me.
509
00:21:03,528 --> 00:21:05,330
The narrative
on limb-different people
510
00:21:05,363 --> 00:21:07,398
has been the accident.
511
00:21:07,432 --> 00:21:10,335
"This is what happened,
and these are these sad things,"
512
00:21:10,368 --> 00:21:12,771
and it becomes
inspiration porn.
513
00:21:14,839 --> 00:21:17,309
For me, for example, right,
if I do something,
514
00:21:17,342 --> 00:21:19,444
I have to, like,
smash it out of the park,
515
00:21:19,477 --> 00:21:21,079
because otherwise I feel like
there's gonna be this,
516
00:21:21,112 --> 00:21:24,149
"Oh, well, he did it good enough
because he's missing his hand."
517
00:21:24,182 --> 00:21:25,950
- Yeah, yeah.
- And I'm like, "F that!"
518
00:21:25,983 --> 00:21:29,520
Like, I want to...
I'm gonna be as good or better
than somebody with two hands
519
00:21:29,554 --> 00:21:31,023
doing whatever I'm doing,
you know?
520
00:21:32,390 --> 00:21:34,359
Prosthetics,
at this point in my life,
521
00:21:34,392 --> 00:21:37,829
don't really seem like something
I would want or need.
522
00:21:37,862 --> 00:21:39,998
Manual robotic prosthetics
523
00:21:40,031 --> 00:21:41,800
have not been adopted well.
524
00:21:41,833 --> 00:21:42,867
Amputees try them,
525
00:21:42,900 --> 00:21:44,736
and then they don't
continue to use them.
526
00:21:50,742 --> 00:21:53,078
Yeah, man,
you stoked to check out the lab?
527
00:21:53,111 --> 00:21:54,412
Yeah, yeah, for sure.
528
00:21:54,446 --> 00:21:57,282
Right now,
I'm the only amputee
that's ever used
529
00:21:57,315 --> 00:21:58,649
the Skywalker Arm before.
530
00:21:58,683 --> 00:22:00,618
Did you have...
were you right-handed?
531
00:22:00,651 --> 00:22:01,987
No, I was born
left-handed, actually.
532
00:22:02,020 --> 00:22:03,454
Oh, you lucky bastard.
533
00:22:03,487 --> 00:22:05,256
- Yeah, I know, right?
- I was right-handed.
534
00:22:05,289 --> 00:22:06,958
It was
extremely important
535
00:22:06,991 --> 00:22:09,561
to get as many different people
as we can in there,
536
00:22:09,594 --> 00:22:10,928
including other amputees.
537
00:22:10,962 --> 00:22:13,798
It's hard to find people
that are amputees in general,
538
00:22:13,832 --> 00:22:16,768
and then, like,
upper-extremity amputees
is the next thing,
539
00:22:16,801 --> 00:22:18,470
and then finding people
who are willing,
540
00:22:18,503 --> 00:22:20,238
to step out
of their comfort zone
541
00:22:20,271 --> 00:22:22,106
- and then do this.
- Right.
542
00:22:22,139 --> 00:22:23,575
When I met Jason,
543
00:22:23,608 --> 00:22:26,545
I found it really interesting
that we had a lot in common,
544
00:22:26,578 --> 00:22:30,014
because we were both into cars,
we were both into music.
545
00:22:30,048 --> 00:22:31,783
- Hi, Gil.
- Hey. What's up?
546
00:22:31,816 --> 00:22:33,951
- Jason. Nice to meet ya.
- Nice meeting you.
547
00:22:33,985 --> 00:22:36,854
He's a step or two
ahead of me
with the technology stuff.
548
00:22:36,888 --> 00:22:39,724
The way this hand works
is it essentially picks up
549
00:22:39,758 --> 00:22:42,093
the ultrasound signals
from my residual limb,
550
00:22:42,127 --> 00:22:43,862
so when I move my index finger,
551
00:22:43,895 --> 00:22:45,129
it'll move my index...
552
00:22:45,162 --> 00:22:47,232
ring...
553
00:22:47,265 --> 00:22:48,799
Wow, for the first time,
554
00:22:48,833 --> 00:22:50,502
prosthetics are finally
getting to the point
555
00:22:50,535 --> 00:22:52,270
where they're getting
pretty close
556
00:22:52,303 --> 00:22:54,239
to actual human hand.
557
00:22:54,272 --> 00:22:55,907
You know, it got me excited.
I was like,
558
00:22:55,941 --> 00:22:58,143
"This is the type of thing
that I've been waiting for."
559
00:22:58,176 --> 00:22:59,877
If I was ever going
to try one again,
560
00:22:59,910 --> 00:23:02,881
this would be the type of stuff
that I would want to check out.
561
00:23:02,914 --> 00:23:04,081
When I move my thumb...
562
00:23:08,286 --> 00:23:10,354
I know from experience
563
00:23:10,388 --> 00:23:12,357
that it's not always
working perfectly.
564
00:23:12,391 --> 00:23:14,459
It's very interesting for me
to have someone else
565
00:23:14,492 --> 00:23:16,327
who comes
and tries our technology
566
00:23:16,360 --> 00:23:18,130
to see
if it can be generalized.
567
00:23:20,665 --> 00:23:23,434
Is my arm getting warmer
because you're wrapping it,
568
00:23:23,468 --> 00:23:24,836
or does that have
heat in it?
569
00:23:24,870 --> 00:23:26,737
- It does have heat in it.
- Oh, okay.
570
00:23:26,771 --> 00:23:29,741
First thing we need,
if we're gonna get Jay
to try the hand,
571
00:23:29,774 --> 00:23:32,310
is we need to get
a custom-fit socket to his arm
572
00:23:32,343 --> 00:23:34,546
that's comfortable
and fits nice and snug.
573
00:23:34,579 --> 00:23:36,347
You comfortable
when they do this?
574
00:23:36,381 --> 00:23:38,316
This is the most awkward part
for me.
575
00:23:38,349 --> 00:23:40,652
- Nah, it was kinda weird.
- Ah, yeah. Yeah.
576
00:23:40,685 --> 00:23:42,787
I was 12 years old
when I lost my hand
577
00:23:42,820 --> 00:23:44,689
and had a prosthetic
for six months,
578
00:23:44,723 --> 00:23:46,925
and pretty much ever since then,
I haven't used it,
579
00:23:46,958 --> 00:23:48,793
and it's been
close to 30 years now.
580
00:23:48,827 --> 00:23:50,828
And there's the impression
of your arm.
581
00:23:50,862 --> 00:23:52,430
That's way easier
than I thought it was gonna be.
582
00:23:52,463 --> 00:23:53,732
That's wild, yeah!
583
00:23:53,765 --> 00:23:55,966
It may not be right for me,
but this is something
584
00:23:56,000 --> 00:23:58,503
that could really, really
help people's lives.
585
00:23:58,536 --> 00:23:59,805
It would be really cool
586
00:23:59,838 --> 00:24:03,008
to have a hand in helping
to develop the technology.
587
00:24:04,242 --> 00:24:06,411
All right.
588
00:24:06,444 --> 00:24:07,779
All right, ready?
589
00:24:08,580 --> 00:24:10,448
Just slide it in.
590
00:24:10,481 --> 00:24:12,150
Turn this... tighten.
591
00:24:13,485 --> 00:24:14,652
How tight?
592
00:24:14,686 --> 00:24:16,788
As tight as you can
before it really hurts...
593
00:24:16,821 --> 00:24:18,356
- Oh, really?
- ...because the tighter it is,
594
00:24:18,389 --> 00:24:20,491
- the better reading we'll see.
- Okay.
595
00:24:20,525 --> 00:24:22,360
- Now we apply the probe...
- Okay.
596
00:24:22,394 --> 00:24:24,062
...so it can
read your movements.
597
00:24:24,095 --> 00:24:25,229
Now we also
598
00:24:25,263 --> 00:24:27,432
have to work on the algorithm
and the machine learning,
599
00:24:27,465 --> 00:24:29,300
and for this,
we will need you to train.
600
00:24:29,333 --> 00:24:30,701
Okay.
601
00:24:30,735 --> 00:24:33,137
An able-bodied person,
when you move your finger,
602
00:24:33,171 --> 00:24:35,039
you're not thinking
about moving your finger,
603
00:24:35,072 --> 00:24:37,708
you just do it, because
that's how we're hardwired,
604
00:24:37,742 --> 00:24:39,544
but, honestly,
I don't really remember
605
00:24:39,577 --> 00:24:41,646
what it was like
to even have that hand.
606
00:24:41,679 --> 00:24:44,149
Even though
an amputee doesn't have a thumb,
607
00:24:44,182 --> 00:24:45,717
they still have the muscle.
608
00:24:45,750 --> 00:24:48,319
You still have
some kind of memory
609
00:24:48,352 --> 00:24:49,888
of how
you moved your fingers,
610
00:24:49,921 --> 00:24:52,490
and you can think about
moving your phantom fingers,
611
00:24:52,523 --> 00:24:54,525
and the muscles
would move accordingly,
612
00:24:54,559 --> 00:24:56,694
and that's exactly what we use
in order to, uh,
613
00:24:56,727 --> 00:24:59,564
recreate the motion
and put it in a prosthetic arm.
614
00:24:59,598 --> 00:25:03,534
But does Jay still remember
how to move fingers
615
00:25:03,568 --> 00:25:06,204
that he didn't have for,
I believe, 30 years ago?
616
00:25:06,237 --> 00:25:08,606
Now we'll run the model,
617
00:25:08,640 --> 00:25:10,708
and you'll be able
to control the hand.
618
00:25:10,741 --> 00:25:13,444
You're optimistic.
I'm crossing fingers.
619
00:25:13,478 --> 00:25:15,379
Can I cross these fingers?
620
00:25:15,413 --> 00:25:17,281
Is that...
is that an option yet?
621
00:25:17,314 --> 00:25:19,750
Having Jay here for a day
622
00:25:19,783 --> 00:25:21,752
and hoping to get him to a point
623
00:25:21,786 --> 00:25:23,687
that he controls
finger by finger,
624
00:25:23,721 --> 00:25:25,923
I'm a little concerned
that it will not work
625
00:25:25,957 --> 00:25:28,026
in such a short period of time.
626
00:25:28,059 --> 00:25:29,794
Okay. And...
627
00:25:29,828 --> 00:25:32,730
- Ready?
- Yeah. You should try
each of the fingers.
628
00:25:32,763 --> 00:25:34,299
All right, that's the thumb...
629
00:25:35,500 --> 00:25:37,869
- Oh, shit!
- Unbelievable.
630
00:25:39,404 --> 00:25:41,338
All right, index...
631
00:25:41,372 --> 00:25:42,640
Yay!
632
00:25:42,674 --> 00:25:44,008
Wow, I'm surprised.
633
00:25:44,041 --> 00:25:46,043
Middle...
634
00:25:46,077 --> 00:25:47,245
Dude.
635
00:25:50,181 --> 00:25:51,917
Five for five?
636
00:25:53,918 --> 00:25:56,320
All five of them!
637
00:25:56,353 --> 00:25:57,488
- Whoa.
- That's wild.
638
00:25:57,522 --> 00:25:59,324
All right,
let me do it again.
639
00:25:59,357 --> 00:26:00,625
You're a natural, man.
640
00:26:00,658 --> 00:26:02,527
Doesn't that feel crazy?
641
00:26:02,560 --> 00:26:04,295
- Yeah!
- Feels wild.
642
00:26:04,328 --> 00:26:06,931
- I didn't think
it'd be as good.
- I didn't either.
643
00:26:06,965 --> 00:26:09,234
He hit me in the back
after it worked, so...
644
00:26:09,267 --> 00:26:10,501
That's the first time.
645
00:26:10,535 --> 00:26:13,471
It's like a game-changer,
even in its infancy,
646
00:26:13,504 --> 00:26:14,739
which is kind of insane,
647
00:26:14,772 --> 00:26:16,975
because it can
only get better from there.
648
00:26:17,008 --> 00:26:19,644
And it's really cool
to play a small part in that.
649
00:26:19,677 --> 00:26:21,946
Now we have two main goals.
650
00:26:21,979 --> 00:26:24,949
First,
you need to move your muscle
or your phantom finger,
651
00:26:24,983 --> 00:26:28,219
and immediately see response,
so this is one direction
of research.
652
00:26:28,253 --> 00:26:31,455
The other direction
is to make it more accurate.
653
00:26:31,489 --> 00:26:33,157
Being able to type
on a keyboard,
654
00:26:33,191 --> 00:26:35,960
use a computer mouse,
uh, open a water bottle,
655
00:26:35,993 --> 00:26:38,262
things like that that
most people take for granted.
656
00:26:38,296 --> 00:26:41,933
It's kind of like a...
you know, sci-fi movie,
soon to be written.
657
00:26:41,966 --> 00:26:44,435
Give us five, right?
658
00:26:44,469 --> 00:26:46,805
That's awkward...
oh, robot to robot hand.
659
00:26:46,838 --> 00:26:47,906
Nice!
660
00:26:49,173 --> 00:26:51,676
- That's...
that was real, right?
- Yeah.
661
00:26:51,710 --> 00:26:53,877
If I find out you guys
had a button under that desk...
662
00:26:53,911 --> 00:26:56,046
No, nah, I promise.
I promise.
663
00:26:56,080 --> 00:26:58,616
What began as one man's pursuit
664
00:26:58,650 --> 00:27:01,185
to innovate music
through A.I. and robotics
665
00:27:01,218 --> 00:27:04,222
unexpectedly became
something much greater.
666
00:27:05,689 --> 00:27:08,259
A human body
cooperating with a bionic hand
667
00:27:08,292 --> 00:27:09,927
is one thing...
668
00:27:09,961 --> 00:27:12,030
but is it possible
to humanize a machine
669
00:27:12,063 --> 00:27:15,066
to the point that
it truly seems lifelike?
670
00:27:15,099 --> 00:27:18,937
Or is that still sci-fi,
and far, far away?
671
00:27:25,009 --> 00:27:26,611
How did things go with Will?
672
00:27:26,645 --> 00:27:29,280
You know, one of
the real challenges there
673
00:27:29,313 --> 00:27:30,881
was just getting enough material
674
00:27:30,915 --> 00:27:33,084
that we could actually
come back with.
675
00:27:33,117 --> 00:27:36,754
We can't possibly capture
somebody's real personality,
676
00:27:36,787 --> 00:27:38,156
you know, that's impossible,
677
00:27:38,189 --> 00:27:40,324
but in order
for it to really work,
678
00:27:40,357 --> 00:27:44,195
it's really important
to capture a feeling of Will.
679
00:27:44,228 --> 00:27:45,463
Right, so...
680
00:27:45,497 --> 00:27:48,733
Will's avatar
is actually Mark's first go
681
00:27:48,767 --> 00:27:51,802
at creating a digital copy
of a real person.
682
00:27:51,836 --> 00:27:53,838
Wow, that's looking
pretty good.
683
00:27:53,871 --> 00:27:56,441
He's not just
trying to clone a human,
684
00:27:56,474 --> 00:27:57,641
by any stretch,
685
00:27:57,675 --> 00:27:59,710
but trying to create
an artificial stand-in
686
00:27:59,743 --> 00:28:01,746
that's somewhat believable.
687
00:28:01,779 --> 00:28:04,716
Still, like most firsts,
it's bumpy,
688
00:28:04,749 --> 00:28:07,017
and it's a cautious road
into the unknown.
689
00:28:07,051 --> 00:28:09,420
A big challenge
that I've found
690
00:28:09,453 --> 00:28:11,288
while I've been looking
through a lot of the images
691
00:28:11,322 --> 00:28:14,358
is it seems that Will was
moving a lot during the shots.
692
00:28:14,391 --> 00:28:16,928
Okay. When
we're building digital Will,
693
00:28:16,961 --> 00:28:19,130
we have about eight artists
on our team
694
00:28:19,163 --> 00:28:20,064
that come together
695
00:28:20,097 --> 00:28:22,066
and pull all
of the different components
696
00:28:22,100 --> 00:28:24,234
to bring together
this real-time character
697
00:28:24,268 --> 00:28:26,637
that's driven by
the artificial intelligence
698
00:28:26,670 --> 00:28:29,107
to behave
like Will behaves.
699
00:28:29,707 --> 00:28:31,843
Big challenges we've got
700
00:28:31,876 --> 00:28:34,278
is how we create
Will's personality.
701
00:28:34,312 --> 00:28:35,546
Yeah. Like, the liveliness
702
00:28:35,580 --> 00:28:37,314
and the energy
that he generates,
703
00:28:37,348 --> 00:28:38,316
and the excitement.
704
00:28:39,950 --> 00:28:41,753
The facial hair
was a challenge.
705
00:28:41,786 --> 00:28:44,121
Because it's so sparse,
it's quite tricky to get
706
00:28:44,155 --> 00:28:46,090
the hair separated
from the skin.
707
00:28:46,124 --> 00:28:48,493
We have
to be able to synthesize
708
00:28:48,526 --> 00:28:51,829
the sort of feel that
you're interacting with Will.
709
00:28:51,862 --> 00:28:54,599
So, Teah,
I've got some stuff to hear.
710
00:28:54,632 --> 00:28:56,767
We've got 16 variations.
711
00:28:56,801 --> 00:28:58,269
- 16 variations?
- Yeah.
712
00:28:58,302 --> 00:29:01,072
We take the voice data
that we've got,
713
00:29:01,105 --> 00:29:03,808
and then we can enable
the digital version of Will
714
00:29:03,841 --> 00:29:05,743
to say all kinds
of different things.
715
00:29:05,776 --> 00:29:07,411
Here's the forecast.
716
00:29:07,444 --> 00:29:08,680
Yo, check out the forecast.
717
00:29:08,713 --> 00:29:10,014
Yo, check out
the weather and shit.
718
00:29:10,048 --> 00:29:11,582
Here's the weather.
Check out the weather.
719
00:29:11,615 --> 00:29:13,451
Yah, 'bout to make it rain!
720
00:29:13,484 --> 00:29:14,819
Kinda.
721
00:29:14,852 --> 00:29:16,654
That's fantastic...
the words,
722
00:29:16,687 --> 00:29:18,723
the delivery, emphasis...
723
00:29:18,756 --> 00:29:21,960
Shows you just how complex
people react.
724
00:29:23,561 --> 00:29:26,431
It's awesome
where we are
in the world of tech.
725
00:29:27,598 --> 00:29:29,367
Scary where we are,
as well.
726
00:29:29,400 --> 00:29:32,570
My mind started thinking,
like, "Wait a second here.
727
00:29:32,604 --> 00:29:34,405
Why am I doing this?
728
00:29:34,439 --> 00:29:36,941
What's the endgame?"
729
00:29:37,942 --> 00:29:41,846
Because, eventually,
I won't be around,
730
00:29:41,880 --> 00:29:43,214
but it would.
731
00:29:43,248 --> 00:29:45,650
Will's endgame
is more modest than Mark's:
732
00:29:45,683 --> 00:29:48,719
a beefed-up
Instagram following,
a virtual assistant,
733
00:29:48,753 --> 00:29:51,556
anything that might help him
expand his creative outlets
734
00:29:51,589 --> 00:29:55,960
or free up time
for more creative
or philanthropic pursuits.
735
00:29:57,628 --> 00:30:00,431
Okay, so, here we go.
736
00:30:00,464 --> 00:30:02,634
That's looking really different.
737
00:30:02,667 --> 00:30:04,201
It's gonna be
really interesting,
738
00:30:04,234 --> 00:30:06,104
because, you know,
it's not every day
739
00:30:06,137 --> 00:30:08,439
you get confronted
with your virtual self.
740
00:30:08,472 --> 00:30:09,874
Right.
741
00:30:09,907 --> 00:30:12,076
Does he feel
that this is like him?
742
00:30:12,109 --> 00:30:14,078
If it's not
representative of him
743
00:30:14,112 --> 00:30:15,880
or if he doesn't think
it's authentic,
744
00:30:15,914 --> 00:30:18,216
then he won't want
to support it.
745
00:30:22,353 --> 00:30:24,889
- What up, Mark?
-Oh, hey, how are you?
746
00:30:24,923 --> 00:30:26,758
- You can see me, right?
-Yes.
747
00:30:26,791 --> 00:30:29,460
Yo, wassup?
This is will.i.am.
748
00:30:30,695 --> 00:30:31,929
This is the new version of you.
749
00:30:31,962 --> 00:30:33,798
We can give him glasses there.
750
00:30:33,831 --> 00:30:35,433
That's awesome.
751
00:30:35,466 --> 00:30:38,836
I remember I had a pimple
on my face that day.
You captured it.
752
00:30:38,869 --> 00:30:40,771
The good thing is,
it's digital,
753
00:30:40,804 --> 00:30:42,273
and we can remove it
really easily.
754
00:30:42,306 --> 00:30:44,542
How come you didn't
remove that?
755
00:30:44,575 --> 00:30:47,111
You can make him do
a variety of things.
756
00:30:47,145 --> 00:30:49,046
Let's play "Simon Says."
757
00:30:49,079 --> 00:30:50,815
Say, "I sound like a girl."
758
00:30:50,848 --> 00:30:52,550
I sound like a girl.
759
00:30:52,584 --> 00:30:54,085
Say that
with a higher pitch.
760
00:30:54,118 --> 00:30:56,054
I sound like a girl.
761
00:30:56,087 --> 00:30:58,056
Raise your eyebrows.
762
00:30:59,390 --> 00:31:00,624
Poke out your tongue.
763
00:31:02,393 --> 00:31:04,995
Tell me about growing up
in Los Angeles.
764
00:31:05,029 --> 00:31:06,363
I was born and raised
in Boyle Heights,
765
00:31:06,397 --> 00:31:08,933
which is west
of east Los Angeles,
766
00:31:08,966 --> 00:31:10,601
which is east of Hollywood.
767
00:31:10,634 --> 00:31:12,903
Just east of downtown.
768
00:31:12,937 --> 00:31:14,739
Should it
sound exactly like me?
769
00:31:14,772 --> 00:31:16,206
Nope.
770
00:31:16,240 --> 00:31:17,742
Should it sound
a little bit robotic?
771
00:31:17,775 --> 00:31:20,078
Yes. It should.
772
00:31:20,611 --> 00:31:22,112
For my mom.
773
00:31:22,145 --> 00:31:24,749
My mom should not be confused.
774
00:31:24,782 --> 00:31:26,083
What's your name?
775
00:31:26,116 --> 00:31:27,618
Mi nombre es Will.
776
00:31:27,652 --> 00:31:29,254
You speak Spanish?
777
00:31:29,287 --> 00:31:30,220
I don't know.
778
00:31:31,122 --> 00:31:33,123
I know it needs
some fine-tuning,
779
00:31:33,157 --> 00:31:35,392
but the way
it's looking so far
780
00:31:35,426 --> 00:31:36,694
is mind-blowing.
781
00:31:36,728 --> 00:31:38,062
Thanks, Mark.
782
00:31:38,096 --> 00:31:39,930
Yeah, no worries.
783
00:31:39,964 --> 00:31:41,833
How far
do you go down that path
784
00:31:41,866 --> 00:31:44,202
until you can label it
a living...
785
00:31:44,235 --> 00:31:47,071
a digital living character?
786
00:31:47,104 --> 00:31:50,274
This raises some of
the deepest questions
787
00:31:50,308 --> 00:31:53,311
in science
and philosophy, actually,
788
00:31:53,344 --> 00:31:55,346
you know,
the nature of free will.
789
00:31:55,380 --> 00:31:56,347
How do you actually
790
00:31:56,380 --> 00:31:58,449
build a character
which is truly autonomous?
791
00:31:58,482 --> 00:32:01,252
Peek-a-boo!
792
00:32:02,319 --> 00:32:05,389
What is free will?
What does it take to do that?
793
00:32:05,423 --> 00:32:07,024
Artificial Intelligence
794
00:32:07,058 --> 00:32:09,060
is crucial
to the work we are doing,
795
00:32:09,093 --> 00:32:10,828
to inspire, to surprise,
796
00:32:10,861 --> 00:32:13,498
to push human creativity
and abilities
797
00:32:13,531 --> 00:32:15,033
to uncharted domains.
798
00:32:16,868 --> 00:32:18,069
Unbelievable.
799
00:32:22,940 --> 00:32:24,442
Free will...
800
00:32:25,476 --> 00:32:27,644
...it's something
we've been grappling with
801
00:32:27,678 --> 00:32:30,348
for thousands of years,
from Aristotle to Descartes,
802
00:32:30,381 --> 00:32:33,150
and will continue
to grapple with
for a thousand more.
803
00:32:33,184 --> 00:32:35,786
Will we ever be able
to make an A.I.
804
00:32:35,819 --> 00:32:37,488
that can think on its own?
805
00:32:37,522 --> 00:32:39,891
A second, artificial version
of me
806
00:32:39,924 --> 00:32:42,060
that is truly autonomous?
807
00:32:42,093 --> 00:32:45,329
A Robert that can actually
think and feel on his own,
808
00:32:45,362 --> 00:32:47,999
while this Robert here
takes a nap?
809
00:32:49,901 --> 00:32:51,202
Impossible?
810
00:32:51,235 --> 00:32:52,636
Well, when you consider
811
00:32:52,670 --> 00:32:55,606
what human cooperation
has already accomplished...
812
00:32:55,639 --> 00:32:57,675
a man on the moon...
813
00:32:57,708 --> 00:32:59,944
decoding the human genome...
814
00:32:59,977 --> 00:33:02,613
discovering
faraway galaxies...
815
00:33:02,647 --> 00:33:05,816
I'd put my money
on dreamers like Mark and Gil
816
00:33:05,850 --> 00:33:09,487
over the "Earth is flat" folks
any day.
817
00:33:09,520 --> 00:33:12,523
Until then... nap time.
818
00:33:18,196 --> 00:33:19,697
Look at everything
we've created.
819
00:33:21,865 --> 00:33:23,500
Artificial Intelligence
is gonna be
820
00:33:23,534 --> 00:33:26,370
the technology that takes that
to the next level.
821
00:33:26,404 --> 00:33:28,472
Artificial Intelligence
can help us
822
00:33:28,506 --> 00:33:30,541
to feed
the world's population.
823
00:33:30,574 --> 00:33:33,878
The fact that we can find
where famine might happen,
824
00:33:33,911 --> 00:33:35,546
it's mind-blowing.
825
00:33:35,579 --> 00:33:37,181
These are conflict areas,
826
00:33:37,214 --> 00:33:39,750
this is an area that we need
to look at protecting.
827
00:33:39,784 --> 00:33:41,285
Then launch A.I.
828
00:33:41,318 --> 00:33:44,155
We are going to release
the speed limit on your car.
829
00:33:46,190 --> 00:33:47,725
Tim, can you hear me?
830
00:33:47,758 --> 00:33:49,260
With A.I.,
831
00:33:49,293 --> 00:33:51,295
ideas are easy,
execution is hard.
832
00:33:52,663 --> 00:33:55,766
What excites me the most
about where we might be going
833
00:33:55,799 --> 00:33:57,034
is having more super-powers...
834
00:33:57,067 --> 00:33:58,402
I got him!
835
00:33:58,436 --> 00:34:00,705
...and A.I. is super-powers
for our mind.
836
00:34:00,738 --> 00:34:03,241
Even though the limb
is synthetic materials,
837
00:34:03,274 --> 00:34:05,342
it moves as if
it's flesh and bone.
838
00:34:07,044 --> 00:34:09,814
where you can prevent disease
before it happens.
839
00:34:09,847 --> 00:34:11,415
A.I. can give us that answer
840
00:34:11,448 --> 00:34:13,084
that we've been seeking
all along...
841
00:34:13,117 --> 00:34:14,585
"Are we alone?"
842
00:34:14,619 --> 00:34:15,752
Bah!
843
00:34:15,786 --> 00:34:17,688
I love the idea
that there are passionate people
844
00:34:17,721 --> 00:34:19,757
dedicating their time and energy
845
00:34:19,790 --> 00:34:21,392
to making these things happen.
64864
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.