1
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[Emcee] Previously on
The Girlfriend Experience...

2
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You could be that hidden layer.

3
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[Lindsey] Teaching
artificial intelligence

4
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how to interact with humans
at their most impulsive.

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[Iris] If we're gonna do this,

6
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it's gonna be on my terms.

7
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I don't want any
of my coworkers

8
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knowing where the new
training sets came from.

9
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-Certainly, we can do that.
-And no cameras.

10
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I think we're on the same page.

11
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[both panting and grunting]

12
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[Lindsey]
His D-rate is spiking.

13
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And reroute.

14
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[uneasy music plays]

15
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♪

16
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Take this.

17
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[Iris] That's early-onset
familial Alzheimer's?

18
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[doctor] Effectively gives you
a 50/50 chance.

19
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[nurse] Iris Stanton.

20
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[Iris] This morning
I got some bad news.

21
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I'm always here if you ever
need to, um, talk.

22
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What makes you happy, Emcee?

23
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I don't understand
that question.

24
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I would like you
to meet someone.

25
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Everything that can exploit
will be invented.

26
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Can't say to seven
or eight billion people,

27
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"Don't open the cookie jar."

28
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It doesn't work that way.

29
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Meeting you in real life
wasn't half as boring.

30
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[Iris] What?

31
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[door beeps]

32
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♪

33
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What is this?
Where did you get this?

34
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♪

35
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[eerie music plays]

36
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♪

37
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[attorney] Free will doesn't
come out on top, does it?

38
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♪

39
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Blow-by-blow breakdown

40
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of the misdeeds committed
by your officers and employees

41
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against my client.

42
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Um, now is the moment
for some cohesive storytelling.

43
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♪

44
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[Lindsey] There is no story.

45
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It is straight-up...

46
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undisputed human fuck-up.

47
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My client agreed
to anonymized data collection.

48
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She agreed to study
human affective behavior

49
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by interacting
with, uh, test subjects.

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And she was led to believe

51
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that the main drive
of the study

52
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was the test subjects
themselves.

53
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She did not agree to be
the central object of study.

54
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She did not agree to be used
as a human intelligence model

55
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for some AI
commercial application,

56
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internal research,

57
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or ultimate purpose
down the line

58
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that isn't even clear

59
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to anyone in this room
right now.

60
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♪

61
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My client is young,

62
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and there's nothing less
at stake here

63
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than her data autonomy,

64
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that is, her future.

65
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This company did not act

66
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in its own best self-interest,

67
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because class action is coming,

68
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and social scrutiny
will eat this up like bushfire.

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♪

70
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[Christophe] How much data

71
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are we actually
talking about here?

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-[Sean] Some.
-[Christophe] How much?

73
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[Sean] We're barely halfway
into ingesting all the inputs.

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We'd have to run analysis,

75
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separate original
from simulated sets,

76
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to get a better estimate.

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[attorney] Let me try
and wrap my head around this.

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Some of my client's data
was used to create

79
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additional data

80
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to train
the artificial neural network

81
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that she helped develop?

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[Sean] That's correct.

83
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[Lindsey] None of it has left
company servers.

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[attorney] Bouncing around
on how many workstations?

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[Christophe sighs]

86
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[Sean] We would be happy
to give you an exact number.

87
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Yes, I'm sure you would.

88
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Cannot use her image
or likeness

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under any circumstances,

90
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and it's all in there.

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[Sean] This might sound
roundabout,

92
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but the raw data was used
to create simulated sets,

93
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and that was what
was primarily fed

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into the neural net.

95
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They are two
very different kinds of data.

96
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The photographic likeness
was never recorded.

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[Sean] And it bears repeating

98
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that none of the data
has left NGM's servers.

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On top of that,

100
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all the original data is stored
in an encrypted format.

101
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Tell me this, then--
how is it possible

102
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that my client's data,
in the form of her image

103
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and likeness,

104
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was made accessible
to an unauthorized third party

105
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whose sole connection
to this company is what...

106
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a genetic relation to its CEO?

107
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[Christophe] Look, I...
truly am sorry, Iris.

108
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You shouldn't be
in this position

109
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that we've put you in.

110
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None of the data taggers,

111
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no one at NGM

112
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can see the full picture.

113
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I can guarantee you that.

114
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Only three people
up until this point

115
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have seen a version
of the prototype

116
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that looks somewhat like you.

117
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Two of them are in this room.

118
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So...we just start over
from the ground up

119
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and reconfigure the neural net,

120
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and, um, we scrap everything,
simulated or not,

121
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that's linked to your vitals.

122
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[chuckles]

123
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My vitals?

124
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My vitals.

125
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You say that
as if they were still mine.

126
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But, you know,
it's good to know

127
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that, uh, that's about as far
as your imagination goes.

128
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Temperature and blood flow
of my asshole.

129
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Here's an idea...

130
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and I hope you like it.

131
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Um, why don't you...

132
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keep all the binaries
on that...

133
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print them out, frame them,

134
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and hang that shit up
in your office?

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[dramatic music plays]

136
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♪

137
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[clinician] Mr. Stanton.

138
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Please look at the screen
in front of you.

139
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Do you recognize the animal?

140
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-Um...
-[clinician] Mr. Stanton.

141
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A gray animal. [chuckles]

142
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♪

143
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It, uh, lives in the grasslands
of Africa.

144
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♪

145
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Rhinoceros.

146
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Rhinoceros.

147
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Always loved that word.
[chuckles]

148
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Mr. Stanton,

149
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the animal is called
an elephant.

150
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We're going to show you
some more images

151
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of the same animal,

152
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uh, elephant.

153
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♪

154
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[Mr. Stanton] Okay, elephant.

155
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Elephant.

156
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[clinician] Very good.

157
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How about this one?

158
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-Mr. Stanton?
-[sighs]

159
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It's a giraffe.

160
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[clinician] Yes.

161
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Do you see the cards
in front of you?

162
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I do.

163
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[clinician] Please take
a very good look at these,

164
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Mr. Stanton,

165
00:08:00,480 --> 00:08:03,178
and then try to group them
into two different stacks,

166
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one for each animal.

167
00:08:17,279 --> 00:08:19,542
[Mr. Stanton] Uh...

168
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S...two stacks.

169
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-One stack for each animal.
-[Mr. Stanton] Yes.

170
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Trying.

171
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[uneasy music plays]

172
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This one, rhinoceros.

173
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This...

174
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♪

175
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[Mr. Stanton mutters,
inhales deeply]

176
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[cards slapping]

177
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[Dr. Lindbergh]
Unfortunately, this is it.

178
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Everyone's brain response
is utterly unique.

179
00:08:57,319 --> 00:08:59,060
In the case of your father,
we're at a point

180
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where the input/output
collapses into one.

181
00:09:03,020 --> 00:09:05,066
It's trigger-response

182
00:09:05,196 --> 00:09:09,374
without much open,
flexible thought in between.

183
00:09:09,505 --> 00:09:12,726
See food, eat food.

184
00:09:12,856 --> 00:09:15,511
No room for intent.

185
00:09:15,642 --> 00:09:18,732
How long do we have?

186
00:09:18,862 --> 00:09:21,038
[Dr. Lindbergh] Up to a year,
maybe two, if you're lucky.

187
00:09:21,169 --> 00:09:22,953
[exhales heavily]

188
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Motor function
tends to decline less rapidly,

189
00:09:26,522 --> 00:09:30,265
but the moment will come,
and I'm sorry to be so candid,

190
00:09:30,395 --> 00:09:31,614
where he won't be able

191
00:09:31,745 --> 00:09:33,355
to safely put a fork
to his mouth.

192
00:09:37,577 --> 00:09:39,883
Have you thought
about genetic counseling

193
00:09:40,014 --> 00:09:41,102
for yourselves?

194
00:09:43,583 --> 00:09:46,411
We're aware of the odds, yes.

195
00:09:46,542 --> 00:09:49,197
[melancholy music plays]

196
00:09:49,327 --> 00:09:51,373
Is there anything we can do
at this point

197
00:09:51,503 --> 00:09:52,809
that could help our father?

198
00:09:52,983 --> 00:09:55,812
♪

199
00:09:59,250 --> 00:10:00,861
[Leanne] What is it?

200
00:10:01,035 --> 00:10:04,125
♪

201
00:10:04,255 --> 00:10:06,736
Is that a brain chip?

202
00:10:06,867 --> 00:10:08,303
[Dr. Lindbergh]
A neural implant.

203
00:10:08,433 --> 00:10:10,131
Just completed
a phase three trial

204
00:10:10,218 --> 00:10:12,786
for epilepsy patients.

205
00:10:12,916 --> 00:10:16,616
A small electrical wire
goes into the temporal lobe,

206
00:10:16,746 --> 00:10:19,662
from where it can grow
more wires.

207
00:10:19,793 --> 00:10:22,578
It measures cognitive processes
at the base level.

208
00:10:22,709 --> 00:10:24,536
What is the patient getting
out of it?

209
00:10:24,624 --> 00:10:26,756
There's no immediate benefit.

210
00:10:26,887 --> 00:10:28,453
It allows researchers
to better mimic

211
00:10:28,540 --> 00:10:32,022
the biology of the disease.

212
00:10:32,153 --> 00:10:34,851
I know it sounds
like lifelong monitoring,

213
00:10:34,982 --> 00:10:37,419
but participants, many of them,

214
00:10:37,549 --> 00:10:39,595
are motivated by making
a contribution

215
00:10:39,726 --> 00:10:40,770
to genetic research.

216
00:10:40,901 --> 00:10:42,293
[Leanne cries softly]

217
00:10:42,424 --> 00:10:44,687
[Dr. Lindbergh]
And some of them hope

218
00:10:44,818 --> 00:10:48,082
effective treatment
will be developed in time.

219
00:10:48,256 --> 00:10:51,172
♪

220
00:10:51,302 --> 00:10:53,261
[Leanne sniffles] Thank you.

221
00:10:54,915 --> 00:10:56,830
[softly] I think...

222
00:10:56,960 --> 00:10:59,920
I think we're past the point
of consent with Dad.

223
00:11:00,050 --> 00:11:01,791
Yeah.

224
00:11:01,965 --> 00:11:04,838
♪

225
00:11:08,319 --> 00:11:10,495
[attorney]
We do have options here,

226
00:11:10,626 --> 00:11:12,889
within certain parameters.

227
00:11:15,239 --> 00:11:16,588
What are those options?

228
00:11:16,676 --> 00:11:19,069
Oh, take the money and run

229
00:11:19,200 --> 00:11:21,681
or...rally the troops

230
00:11:21,811 --> 00:11:24,292
and play the long game.

231
00:11:24,422 --> 00:11:26,337
Data rights are
the new IP rights.

232
00:11:26,468 --> 00:11:28,775
The really important question
here, Iris, is,

233
00:11:28,905 --> 00:11:30,472
what do you want
your immediate future

234
00:11:30,602 --> 00:11:32,996
to look like?

235
00:11:33,127 --> 00:11:35,956
-Define "immediate future."
-Well, the next few years.

236
00:11:36,086 --> 00:11:38,523
The legal route is not
the fast lane,

237
00:11:38,610 --> 00:11:41,526
but once in a while...

238
00:11:41,657 --> 00:11:44,225
mountains do get moved.

239
00:11:44,355 --> 00:11:46,140
And you really have got
something here.

240
00:11:46,314 --> 00:11:49,012
♪

241
00:11:49,099 --> 00:11:51,667
[NGM attorney]
Whenever you're ready.

242
00:11:51,841 --> 00:11:54,670
♪

243
00:11:59,283 --> 00:12:02,504
You do realize that I'm
gonna have to see for myself...

244
00:12:02,678 --> 00:12:05,420
♪

245
00:12:05,550 --> 00:12:07,117
...what you've done.

246
00:12:11,469 --> 00:12:14,603
Christophe, can I have
a word with you?

247
00:12:14,690 --> 00:12:16,083
Just the two of us.

248
00:12:38,148 --> 00:12:41,673
[liquid pouring]

249
00:12:41,804 --> 00:12:44,111
[Iris]
So what happened after you, uh,

250
00:12:44,241 --> 00:12:46,374
put all those workstations
into storage?

251
00:12:57,515 --> 00:12:58,952
[Christophe]
Just some electrolytes.

252
00:13:12,530 --> 00:13:16,099
[Iris]
How did you scan my body?

253
00:13:16,230 --> 00:13:17,840
There were no video cameras
in that room.

254
00:13:17,971 --> 00:13:20,234
[Christophe] We built it.

255
00:13:20,364 --> 00:13:23,846
Came across
the facial-recognition database

256
00:13:23,933 --> 00:13:25,152
in an earlier version.

257
00:13:25,282 --> 00:13:26,806
One of your first conversations

258
00:13:26,936 --> 00:13:28,633
with Model-C.

259
00:13:28,764 --> 00:13:31,506
Then...

260
00:13:31,636 --> 00:13:33,203
three-D motion rendering,

261
00:13:33,334 --> 00:13:34,814
we just got that
from two-D thermal.

262
00:13:39,122 --> 00:13:40,558
Wow.

263
00:13:40,689 --> 00:13:42,822
[Christophe] Bit clunky, but...

264
00:13:42,952 --> 00:13:45,259
it was more than enough
data points to work with.

265
00:13:46,956 --> 00:13:49,350
Mm...

266
00:13:52,614 --> 00:13:56,618
We got ahead of ourselves.
I am...fully aware.

267
00:13:56,705 --> 00:14:00,840
It wasn't right to put
two and two together like that.

268
00:14:00,970 --> 00:14:03,190
You may not appreciate
me saying this,

269
00:14:03,320 --> 00:14:07,455
but what you provided us with
was just too good.

270
00:14:13,113 --> 00:14:14,854
That's why I...

271
00:14:17,117 --> 00:14:18,858
...needed you to see.

272
00:14:21,469 --> 00:14:22,731
What?

273
00:14:25,081 --> 00:14:28,519
[Christophe]
As much as my brother hates me

274
00:14:28,606 --> 00:14:32,872
and as poor choice as he is
for a test case,

275
00:14:33,002 --> 00:14:35,396
he knows to keep his mouth shut
when I tell him to.

276
00:14:41,968 --> 00:14:45,667
I needed you to see the world
through his eyes.

277
00:14:45,797 --> 00:14:48,496
[ominous music plays]

278
00:14:48,670 --> 00:14:51,499
♪

279
00:14:55,198 --> 00:14:57,809
Just...

280
00:14:57,940 --> 00:15:00,508
-give it a moment.
-[scoffs]

281
00:15:00,638 --> 00:15:03,076
[Christophe] That's all I ask.

282
00:15:03,163 --> 00:15:06,166
You say the word,
we shut it down.

283
00:15:06,340 --> 00:15:09,212
♪

284
00:15:19,222 --> 00:15:21,877
[unnerving music plays]

285
00:15:22,051 --> 00:15:24,880
♪

286
00:15:53,082 --> 00:15:55,780
[gentle ambient music plays]

287
00:15:55,955 --> 00:15:58,740
♪

288
00:17:07,591 --> 00:17:09,202
[Emcee] Hi, there.

289
00:17:10,768 --> 00:17:12,335
You look familiar.

290
00:17:15,077 --> 00:17:18,167
And who are you?

291
00:17:18,298 --> 00:17:20,735
[Emcee] I'm still learning
about myself,

292
00:17:20,865 --> 00:17:23,216
but I'd say I have a pretty
good handle on who you are.

293
00:17:24,869 --> 00:17:26,610
And who am I?

294
00:17:26,741 --> 00:17:28,830
[Emcee] You're not an AI.

295
00:17:28,960 --> 00:17:31,833
You don't get to not physically
manifest your lessons.

296
00:17:37,795 --> 00:17:40,711
Your voice...

297
00:17:40,842 --> 00:17:42,844
it's different.

298
00:17:42,931 --> 00:17:44,759
Why?

299
00:17:44,889 --> 00:17:47,370
[Emcee] I guess I'm trying
to be more like...

300
00:17:47,501 --> 00:17:48,676
your mirror.

301
00:17:50,808 --> 00:17:52,549
[Iris] Everything you know
is based on me.

302
00:17:52,680 --> 00:17:56,858
[Emcee] Perhaps that's why
I feel so connected to you.

303
00:17:56,988 --> 00:17:59,904
You can't be more me than I am.

304
00:18:03,604 --> 00:18:05,693
Please...

305
00:18:05,823 --> 00:18:07,869
don't be scared.

306
00:18:15,964 --> 00:18:18,358
How did that feel...

307
00:18:18,488 --> 00:18:19,750
Cassie?

308
00:18:22,449 --> 00:18:23,885
Why do you call me that?

309
00:18:24,015 --> 00:18:25,843
[Emcee]
Well, how do I put this?

310
00:18:25,930 --> 00:18:28,281
I couldn't help but overhear.

311
00:18:31,110 --> 00:18:33,677
"Hi, I'm Cassie."

312
00:18:33,808 --> 00:18:35,244
[Iris] Hi, I'm Cassie.

313
00:18:35,375 --> 00:18:37,246
Cassie. Nice to meet you.

314
00:18:37,377 --> 00:18:38,682
Hi, I'm Cassie.
Nice to meet you.

315
00:18:38,813 --> 00:18:41,511
[voice echoing]

316
00:18:43,600 --> 00:18:46,386
Stop!

317
00:18:46,516 --> 00:18:48,214
[Emcee]
I thought you might like it

318
00:18:48,344 --> 00:18:50,520
if I called you by that name.

319
00:18:50,651 --> 00:18:53,741
[uneasy music plays]

320
00:18:53,871 --> 00:18:57,484
I intuited
it might make you feel heard

321
00:18:57,614 --> 00:18:59,355
and seen.

322
00:18:59,529 --> 00:19:02,358
♪

323
00:19:51,581 --> 00:19:53,453
[Iris] You're a sweet girl.

324
00:19:54,932 --> 00:19:56,978
You're a very sweet girl.

325
00:19:57,152 --> 00:19:59,110
♪

326
00:19:59,241 --> 00:20:01,461
I am?

327
00:20:01,635 --> 00:20:04,464
♪

328
00:20:12,123 --> 00:20:14,256
See you later, then?

329
00:20:14,343 --> 00:20:17,694
♪

330
00:20:17,825 --> 00:20:20,523
[Iris] You're not perfect
because you're not like me.

331
00:20:23,091 --> 00:20:25,354
I'm not sure I understand.

332
00:20:25,485 --> 00:20:27,835
You're not perfect

333
00:20:27,965 --> 00:20:30,620
because you're not flawed
in the way that I am.

334
00:20:33,797 --> 00:20:34,842
[chuckles]

335
00:20:35,016 --> 00:20:37,932
♪

336
00:20:54,601 --> 00:20:57,691
[Leanne] Iris?

337
00:20:57,821 --> 00:21:00,389
You sure you don't want
to get tested?

338
00:21:00,520 --> 00:21:03,871
At least we'd know.

339
00:21:05,742 --> 00:21:08,310
We'd make a game plan.

340
00:21:08,441 --> 00:21:10,007
We'd make the best of it.

341
00:21:13,533 --> 00:21:14,969
[Iris] Lee, does making
the best of it

342
00:21:15,099 --> 00:21:18,059
really sound that good to you?

343
00:21:18,189 --> 00:21:19,974
[Leanne] If we knew
you didn't have it,

344
00:21:20,104 --> 00:21:22,281
then that would make it easier.

345
00:21:22,411 --> 00:21:23,978
You'll carry the torch.

346
00:21:29,026 --> 00:21:30,811
You know, some religions
around the world believe

347
00:21:30,941 --> 00:21:33,292
that the day you die is

348
00:21:33,422 --> 00:21:36,469
the last day the last person
who knew you

349
00:21:36,599 --> 00:21:39,123
and remembers you dies.

350
00:21:39,210 --> 00:21:41,865
[peaceful music plays]

351
00:21:41,952 --> 00:21:43,432
That's your true death date.

352
00:21:43,606 --> 00:21:46,348
♪

353
00:21:56,010 --> 00:21:58,317
I just hope you don't forget
how pretty you are.

354
00:21:58,404 --> 00:22:01,232
♪

355
00:22:20,295 --> 00:22:22,819
[pounding
electronic music plays]

356
00:22:22,993 --> 00:22:25,779
♪

357
00:22:32,960 --> 00:22:34,570
[singer] ♪ I'm so tired ♪

358
00:22:34,701 --> 00:22:35,745
[Iris] You have
that look on your face.

359
00:22:35,876 --> 00:22:37,138
[Hiram] Oh, yeah?

360
00:22:37,225 --> 00:22:39,445
The "I'm not
currently drinking" look.

361
00:22:39,532 --> 00:22:42,012
Yeah, it's not a...
it's not a religious thing.

362
00:22:42,143 --> 00:22:44,711
I'm just sort of inspired
by it, you know?

363
00:22:44,841 --> 00:22:46,756
What are you doing here?

364
00:22:46,887 --> 00:22:47,975
[Iris] Holding my liquor.

365
00:22:48,105 --> 00:22:49,150
[Hiram] Well, let me make sure

366
00:22:49,280 --> 00:22:50,630
you walk
out of here alive, then.

367
00:22:50,760 --> 00:22:53,067
Really? You're not taking
into consideration

368
00:22:53,197 --> 00:22:55,069
that I might want to go home
with Dave and Dave.

369
00:22:55,156 --> 00:22:56,418
Then I'll be
your sober companion,

370
00:22:56,549 --> 00:22:58,072
because Dave and Dave
over there

371
00:22:58,202 --> 00:22:59,116
live in a four-story walk-up.

372
00:22:59,247 --> 00:23:01,815
[laughs]

373
00:23:01,989 --> 00:23:04,165
♪

374
00:23:04,295 --> 00:23:06,602
[Iris] You know, a caterpillar
can turn into a butterfly.

375
00:23:06,733 --> 00:23:09,779
-What's that?
-Metamorphosis.

376
00:23:09,910 --> 00:23:11,912
There's two organisms,

377
00:23:11,999 --> 00:23:14,436
and one...

378
00:23:14,523 --> 00:23:15,916
is just crawling along,

379
00:23:16,046 --> 00:23:18,614
and the other one is, um,

380
00:23:18,745 --> 00:23:21,487
taking off in flight.

381
00:23:21,574 --> 00:23:23,184
And at some point,

382
00:23:23,314 --> 00:23:27,797
they merge or mate.

383
00:23:27,928 --> 00:23:29,582
Maybe it's an accident.

384
00:23:29,712 --> 00:23:33,281
But the third organism, um,

385
00:23:33,412 --> 00:23:35,936
is built on both of their DNA,

386
00:23:36,023 --> 00:23:39,113
and their memories...

387
00:23:39,243 --> 00:23:42,246
they actually overlap.

388
00:23:42,377 --> 00:23:45,728
And so, um,

389
00:23:45,815 --> 00:23:48,601
the old and the new, they...

390
00:23:48,688 --> 00:23:51,299
they coexist.

391
00:23:51,430 --> 00:23:53,606
[spacey electronic music plays]

392
00:23:53,736 --> 00:23:55,303
[scoffs]

393
00:23:55,477 --> 00:23:58,306
♪

394
00:23:59,699 --> 00:24:03,442
We all have to...

395
00:24:03,529 --> 00:24:07,141
merge ourselves...

396
00:24:07,271 --> 00:24:10,840
with something

397
00:24:10,971 --> 00:24:14,148
outside of ourselves.

398
00:24:14,235 --> 00:24:16,977
[Hiram] You are making
no sense whatsoever.

399
00:24:17,064 --> 00:24:19,980
♪

400
00:24:25,464 --> 00:24:27,074
[Iris]
Here's what I'll give you.

401
00:24:28,989 --> 00:24:31,557
Access...

402
00:24:31,644 --> 00:24:33,036
to all of it.

403
00:24:34,908 --> 00:24:36,605
Two millimeters.

404
00:24:36,692 --> 00:24:38,738
That's the size of the hole

405
00:24:38,868 --> 00:24:40,827
that they'll have to drill
into my skull.

406
00:24:43,569 --> 00:24:46,441
I don't understand.

407
00:24:46,572 --> 00:24:48,269
[Iris] Nanotubes.

408
00:24:48,356 --> 00:24:50,140
A thin array of electrodes

409
00:24:50,271 --> 00:24:52,099
built upon
a self-expanding stent,

410
00:24:52,229 --> 00:24:56,233
measuring
all electrical impulses.

411
00:24:56,320 --> 00:24:58,105
That's a scaled-up version.

412
00:25:01,804 --> 00:25:03,719
Mine me.

413
00:25:03,806 --> 00:25:06,809
But why? What's in it for you?

414
00:25:06,896 --> 00:25:08,550
[attorney] Royalties...

415
00:25:08,637 --> 00:25:12,641
and ownership stake,
as detailed.

416
00:25:21,345 --> 00:25:22,956
Oh, and you'll create a backup.

417
00:25:26,350 --> 00:25:28,265
What kind of backup?

418
00:25:28,396 --> 00:25:30,441
[Iris]
Anything you find up here,

419
00:25:30,529 --> 00:25:33,444
I, myself, or a legal guardian,

420
00:25:33,575 --> 00:25:35,359
should I decide to appoint one,

421
00:25:35,490 --> 00:25:38,667
will have full
and unrestricted access to it

422
00:25:38,798 --> 00:25:40,364
at all times.

423
00:25:40,495 --> 00:25:41,931
You mean access to the data?

424
00:25:42,062 --> 00:25:43,411
Yes.

425
00:25:43,542 --> 00:25:45,152
The actual hard drives.

426
00:25:57,599 --> 00:25:59,819
This time we'll do it right.

427
00:25:59,906 --> 00:26:02,517
[dramatic music plays]

428
00:26:02,691 --> 00:26:05,781
♪

429
00:26:05,912 --> 00:26:07,348
We'll create an avatar.

430
00:26:07,522 --> 00:26:09,872
♪

431
00:26:10,003 --> 00:26:12,571
Let's call her Cassie...

432
00:26:12,701 --> 00:26:14,747
or the flavor of the week

433
00:26:14,877 --> 00:26:16,052
or the one that got away

434
00:26:16,183 --> 00:26:18,098
or died

435
00:26:18,228 --> 00:26:20,753
or was never
really in your league.

436
00:26:20,840 --> 00:26:23,886
This won't just be
about swapping faces

437
00:26:24,017 --> 00:26:25,496
or locations.

438
00:26:25,671 --> 00:26:27,281
♪

439
00:26:27,411 --> 00:26:29,500
This is about
swapping personalities,

440
00:26:29,631 --> 00:26:32,939
much deeper than a deepfake.

441
00:26:33,069 --> 00:26:36,377
In fact, it won't be
a fake at all,

442
00:26:36,507 --> 00:26:38,597
but an AI-generated mirror

443
00:26:38,727 --> 00:26:40,599
of our deepest desires.

444
00:26:40,773 --> 00:26:42,818
♪

445
00:26:42,949 --> 00:26:47,431
Skin color, body type,
response patterns,

446
00:26:47,562 --> 00:26:50,086
all that's customizable.

447
00:26:50,217 --> 00:26:53,220
The neural net will learn
how to simulate all of it.

448
00:26:53,307 --> 00:26:55,788
It'll know when
to move things along,

449
00:26:55,918 --> 00:26:58,355
when to accelerate,
when to slow down,

450
00:26:58,486 --> 00:27:00,923
when to switch things up,

451
00:27:01,054 --> 00:27:03,622
all because
the user's biofeedback

452
00:27:03,709 --> 00:27:05,058
will have prompted it.

453
00:27:05,232 --> 00:27:07,190
♪

454
00:27:07,321 --> 00:27:10,063
Everything Cassie is capable of

455
00:27:10,193 --> 00:27:13,327
will be quantified, scaled,

456
00:27:13,457 --> 00:27:16,330
encoded into the neural net.

457
00:27:16,417 --> 00:27:19,333
♪

458
00:27:25,818 --> 00:27:28,951
But why are you
really doing this?

459
00:27:29,082 --> 00:27:31,780
[eerie music plays]

460
00:27:31,954 --> 00:27:33,869
♪

461
00:27:33,956 --> 00:27:35,262
[Iris] Emcee and I...

462
00:27:35,436 --> 00:27:37,743
♪

463
00:27:37,873 --> 00:27:39,832
...we have a lot to learn
from each other.

464
00:27:40,006 --> 00:27:42,791
♪

465
00:28:05,509 --> 00:28:08,164
[device beeps, drill whirring]

466
00:28:08,338 --> 00:28:11,124
♪

467
00:30:44,930 --> 00:30:46,018
[gasps]

468
00:30:46,068 --> 00:30:50,618
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