please spellcheck this subtitle and keep the timecodes unchanged:

1
00:00:00,000 --> 00:00:02,320
What if I told you we
could like live through the

2
00:00:02,321 --> 00:00:05,740
next century of progress in
just the next decade?

3
00:00:06,180 --> 00:00:09,640
That's the idea behind what
AI researcher Dario

4
00:00:09,641 --> 00:00:12,920
Emma Day calls the
compressed 21st century.

5
00:00:13,080 --> 00:00:15,700
And here's why this particular
prediction is so intriguing.

6
00:00:16,300 --> 00:00:16,340
Right.

7
00:00:16,600 --> 00:00:20,220
Emma Day isn't your typical
Silicon Valley tech optimist.

8
00:00:20,300 --> 00:00:20,520
Right.

9
00:00:20,740 --> 00:00:26,060
He's both a biologist and an
AI expert who runs anthropic.

10
00:00:26,860 --> 00:00:26,900
Yeah.

11
00:00:26,901 --> 00:00:30,860
A company known for its focus on AI risks.

12
00:00:31,380 --> 00:00:31,400
Right.

13
00:00:31,620 --> 00:00:32,640
Not utopian promises.

14
00:00:32,900 --> 00:00:33,320
Exactly.

15
00:00:33,880 --> 00:00:35,500
He's not known for sugar coating things.

16
00:00:35,720 --> 00:00:35,780
No.

17
00:00:36,020 --> 00:00:39,400
So when Emma Day says powerful AI
could deliver the next 50

18
00:00:39,401 --> 00:00:42,420
to 100 years of breakthroughs in
just 5 to 10,

19
00:00:43,040 --> 00:00:43,660
it's not just hype.

20
00:00:44,060 --> 00:00:44,080
Right.

21
00:00:44,180 --> 00:00:47,200
It's him saying, hold on,
things are about to get really wild.

22
00:00:47,460 --> 00:00:51,820
And powerful AI in Emma Day's
world isn't some vague concept.

23
00:00:52,280 --> 00:00:52,300
Okay.

24
00:00:52,301 --> 00:00:56,760
He's talking about AI with genius
level intellect across multiple fields.

25
00:00:57,000 --> 00:00:57,300
Oh, wow.

26
00:00:57,360 --> 00:00:58,360
Not just one party trick.

27
00:00:59,020 --> 00:01:01,120
Think about a team of
the world's brightest minds.

28
00:01:01,460 --> 00:01:01,640
Okay.

29
00:01:02,200 --> 00:01:06,820
All working together in a data center,
designing experiments, inventing tools,

30
00:01:07,940 --> 00:01:08,940
essentially operating.

31
00:01:09,380 --> 00:01:13,800
Like... It's like having a country of
geniuses in a data center as he puts it.

32
00:01:13,980 --> 00:01:14,060
Yeah.

33
00:01:14,440 --> 00:01:16,080
Which honestly...
Good way to put it.

34
00:01:16,360 --> 00:01:17,920
Doesn't sound that far fetched anymore.

35
00:01:18,080 --> 00:01:18,960
It really doesn't.

36
00:01:19,020 --> 00:01:22,080
The big question is,
how does this actually play out?

37
00:01:22,081 --> 00:01:26,140
In the real world,
where do we see the most radical upside?

38
00:01:27,180 --> 00:01:30,740
Well, Emma Day points to
biology and health as

39
00:01:30,741 --> 00:01:33,520
being ripe for this kind
of AI acceleration.

40
00:01:33,960 --> 00:01:34,960
Interesting.

41
00:01:35,060 --> 00:01:37,320
And this is where his dual
background as both a

42
00:01:37,321 --> 00:01:41,020
biologist and an AI expert
is so insightful.

43
00:01:41,480 --> 00:01:41,580
Yeah.

44
00:01:41,860 --> 00:01:44,680
He understands the pace
of scientific discovery.

45
00:01:45,120 --> 00:01:45,180
Okay.

46
00:01:45,480 --> 00:01:49,320
How it often hinges on
these rare groundbreaking moments.

47
00:01:49,321 --> 00:01:49,540
Uh-huh.

48
00:01:49,640 --> 00:01:50,680
The aha moment.

49
00:01:50,880 --> 00:01:52,116
Think about CRISPR, for example.

50
00:01:52,140 --> 00:01:54,620
Right. That completely revolutionized
gene editing.

51
00:01:55,320 --> 00:01:57,680
And it's not hard to imagine
how AI could help

52
00:01:57,681 --> 00:02:00,280
us uncover those kinds of
breakthroughs even faster.

53
00:02:00,640 --> 00:02:01,120
Exactly.

54
00:02:01,540 --> 00:02:05,720
AI can analyze massive data sets,
identify hidden patterns,

55
00:02:06,160 --> 00:02:08,360
even design and run experiments.

56
00:02:08,720 --> 00:02:08,860
Wow.

57
00:02:09,400 --> 00:02:10,720
At a pace we could only dream of.

58
00:02:10,780 --> 00:02:11,780
Yeah.

59
00:02:11,860 --> 00:02:14,460
Emma Day's argument is that
AI isn't magic.

60
00:02:15,260 --> 00:02:17,380
But it can drastically
compress the timeline.

61
00:02:17,840 --> 00:02:18,060
Okay.

62
00:02:18,440 --> 00:02:19,900
From Eureka moment.

63
00:02:20,220 --> 00:02:20,360
Yeah.

64
00:02:20,820 --> 00:02:23,140
To real world impact.

65
00:02:23,780 --> 00:02:27,380
Okay, so it's not like AI is
going to magically cure cancer overnight.

66
00:02:27,880 --> 00:02:29,136
There are still limitations, right?

67
00:02:29,160 --> 00:02:29,360
Of course.

68
00:02:29,460 --> 00:02:30,460
Experiments take time.

69
00:02:30,780 --> 00:02:30,940
Yes.

70
00:02:31,120 --> 00:02:33,900
And we're still bound by
the laws of physics.

71
00:02:34,260 --> 00:02:36,900
Emma Day isn't saying we can
defy the laws of nature.

72
00:02:37,280 --> 00:02:37,500
Okay.

73
00:02:37,501 --> 00:02:43,401
But what he's saying is that we can
drastically accelerate the pace of discovery.

74
00:02:43,820 --> 00:02:46,547
Imagine a world where
instead of taking 50

75
00:02:46,548 --> 00:02:49,560
years to achieve a
breakthrough takes five.

76
00:02:49,900 --> 00:02:50,000
Wow.

77
00:02:50,540 --> 00:02:52,500
That's the kind of compression
he's talking about.

78
00:02:52,540 --> 00:02:55,060
So what does that actually look like
for someone like you or me?

79
00:02:55,500 --> 00:02:55,640
Right.

80
00:02:55,980 --> 00:02:59,600
What changes in a world where the pace
of progress is ten times faster?

81
00:03:00,280 --> 00:03:01,060
Think about it this way.

82
00:03:01,240 --> 00:03:01,320
Okay.

83
00:03:01,500 --> 00:03:04,720
In this compressed 21st century
diseases like cancer,

84
00:03:05,060 --> 00:03:07,500
Alzheimer's, even
inherited genetic conditions.

85
00:03:07,780 --> 00:03:08,320
Oh, wow.

86
00:03:08,620 --> 00:03:10,300
They could largely be problems
of the past.

87
00:03:10,500 --> 00:03:10,700
Okay.

88
00:03:10,840 --> 00:03:12,440
Not just within our children's lifetime.

89
00:03:12,560 --> 00:03:12,680
Yeah.

90
00:03:12,860 --> 00:03:14,040
But potentially within ours.

91
00:03:14,260 --> 00:03:14,380
Wow.

92
00:03:15,100 --> 00:03:16,500
That's not just a medical marvel.

93
00:03:16,820 --> 00:03:16,900
Right.

94
00:03:17,060 --> 00:03:19,200
That's a complete societal game changer.

95
00:03:19,300 --> 00:03:19,880
It really is.

96
00:03:20,120 --> 00:03:20,680
And get this.

97
00:03:20,980 --> 00:03:21,100
Yeah.

98
00:03:21,520 --> 00:03:25,240
Emma Day even suggests that we could
double the human lifespan again.

99
00:03:25,640 --> 00:03:26,020
It's true.

100
00:03:26,060 --> 00:03:27,700
Based on the progress we've already made.

101
00:03:27,860 --> 00:03:27,980
Yeah.

102
00:03:28,160 --> 00:03:31,440
It's a mind-boggling concept
with huge implications.

103
00:03:31,820 --> 00:03:31,980
Right.

104
00:03:31,981 --> 00:03:37,080
Imagine the impact on everything from
family structures to retirement plans.

105
00:03:37,081 --> 00:03:37,500
Wow.

106
00:03:38,100 --> 00:03:41,100
Not to mention the ethical and
philosophical questions it raises.

107
00:03:41,600 --> 00:03:41,780
Right.

108
00:03:42,040 --> 00:03:44,740
And it's not just about living
longer. It's about living better.

109
00:03:45,140 --> 00:03:45,520
Exactly.

110
00:03:45,840 --> 00:03:48,220
Emma Day talks about this
incredible potential for

111
00:03:48,221 --> 00:03:54,020
AI to revolutionize not just our physical
health, but also our mental well-being.

112
00:03:54,520 --> 00:03:54,540
Exactly.

113
00:03:55,180 --> 00:03:59,120
He sees the compressed 21st happening
for the mind too.

114
00:03:59,420 --> 00:03:59,680
Interesting.

115
00:03:59,940 --> 00:04:00,520
Not just the body.

116
00:04:00,521 --> 00:04:00,960
Okay.

117
00:04:01,360 --> 00:04:03,960
And this is where recent
advancements in something

118
00:04:03,961 --> 00:04:06,680
called AI interpretability
come into play.

119
00:04:07,160 --> 00:04:07,400
Okay.

120
00:04:07,540 --> 00:04:09,460
I have to admit,
I'm not familiar with that term.

121
00:04:09,500 --> 00:04:09,900
Okay, sure.

122
00:04:10,500 --> 00:04:15,540
What exactly AI interpretability
and how does it relate to our minds?

123
00:04:16,060 --> 00:04:22,320
So, in simple terms, AI interpretability
is about understanding how AI thinks.

124
00:04:22,700 --> 00:04:22,900
Okay.

125
00:04:23,180 --> 00:04:24,220
Not just what it produces.

126
00:04:24,680 --> 00:04:24,800
Okay.

127
00:04:25,100 --> 00:04:25,760
Think of it like this.

128
00:04:25,761 --> 00:04:26,060
Okay.

129
00:04:26,280 --> 00:04:33,280
Imagine having a window into the decision
-making process of a brilliant scientist.

130
00:04:33,780 --> 00:04:33,960
Okay.

131
00:04:34,480 --> 00:04:36,080
Now, apply that to AI.

132
00:04:36,920 --> 00:04:37,280
Interesting.

133
00:04:37,740 --> 00:04:41,180
By understanding how AI arrives
at its conclusions,

134
00:04:41,700 --> 00:04:47,620
we can potentially unlock secrets
of the human brain far more quickly.

135
00:04:48,020 --> 00:04:50,720
So, it's almost like AI is holding up
a mirror to our own minds.

136
00:04:51,160 --> 00:04:52,196
That's a great way to put it.

137
00:04:52,220 --> 00:04:54,340
Helping us understand ourselves better
in the process.

138
00:04:55,120 --> 00:04:55,640
Precisely.

139
00:04:55,900 --> 00:05:00,280
And this deeper understanding could have
profound implications for mental health.

140
00:05:00,920 --> 00:05:03,620
A mode is very clear that
he sees mental well

141
00:05:03,621 --> 00:05:07,440
-being as being just as crucial
as physical health, if not more so.

142
00:05:07,640 --> 00:05:09,320
I think a lot of people
can relate to that.

143
00:05:09,380 --> 00:05:11,216
We're talking about tackling
things like depression,

144
00:05:11,240 --> 00:05:14,700
anxiety addiction,
even personality disorders.

145
00:05:15,040 --> 00:05:15,100
Yeah.

146
00:05:15,360 --> 00:05:17,780
With the same urgency and
resources that we

147
00:05:17,781 --> 00:05:20,360
currently direct towards cancer
or heart disease.

148
00:05:20,520 --> 00:05:20,920
Exactly.

149
00:05:20,921 --> 00:05:21,240
Yeah.

150
00:05:21,440 --> 00:05:25,640
Amade's vision is to address these issues,
not just by treating symptoms.

151
00:05:26,000 --> 00:05:26,080
Right.

152
00:05:26,340 --> 00:05:29,900
But by understanding and potentially
addressing the root causes.

153
00:05:30,300 --> 00:05:30,360
Okay.

154
00:05:30,520 --> 00:05:34,060
And he sees AI as a
key driver of that revolution.

155
00:05:34,560 --> 00:05:37,160
So, how does he see that unfolding?

156
00:05:37,820 --> 00:05:41,080
How does AI actually help us
achieve this mental health revolution?

157
00:05:41,520 --> 00:05:44,840
Amade lays out like four main avenues.

158
00:05:45,240 --> 00:05:45,380
Okay.

159
00:05:45,660 --> 00:05:47,380
Where AI can make a huge difference.

160
00:05:47,760 --> 00:05:47,900
Okay.

161
00:05:47,901 --> 00:05:51,600
First, imagine AI accelerating the
development of new medications.

162
00:05:52,280 --> 00:05:53,120
And genetic therapies.

163
00:05:53,121 --> 00:05:53,940
Mm-hmm.

164
00:05:53,941 --> 00:05:56,520
Fine-tune to an
individual's brain chemistry.

165
00:05:57,240 --> 00:05:59,260
It's like personalized medicine,
but for the mind.

166
00:05:59,900 --> 00:06:00,020
Exactly.

167
00:06:00,220 --> 00:06:01,980
No more trial and
error with antidepressants.

168
00:06:02,220 --> 00:06:04,380
It's about getting the right treatment
from the get-go.

169
00:06:04,520 --> 00:06:05,520
Exactly.

170
00:06:05,600 --> 00:06:10,980
Second, Amade talks about AI enabling
incredibly precise interventions in the brain.

171
00:06:11,160 --> 00:06:11,340
Mm-hmm.

172
00:06:11,480 --> 00:06:13,340
And we're not talking about
crude surgery here.

173
00:06:13,560 --> 00:06:13,600
Right.

174
00:06:13,601 --> 00:06:17,460
Think about using AI to
target specific neural pathways.

175
00:06:17,880 --> 00:06:18,000
Okay.

176
00:06:18,360 --> 00:06:20,680
Potentially addressing conditions
like Parkinson's.

177
00:06:21,120 --> 00:06:21,240
Yeah.

178
00:06:21,260 --> 00:06:22,800
Or even severe OCD.

179
00:06:22,960 --> 00:06:23,600
Wow.

180
00:06:23,980 --> 00:06:24,480
At their root.

181
00:06:24,780 --> 00:06:27,960
It's like having a microscopic repair
crew for the brain.

182
00:06:28,400 --> 00:06:28,680
Yes.

183
00:06:28,920 --> 00:06:32,780
Guided by AI to fix
things with incredible accuracy.

184
00:06:33,260 --> 00:06:34,316
That's a great way to put it.

185
00:06:34,340 --> 00:06:37,020
What's fascinating is how
Amade connects this.

186
00:06:37,300 --> 00:06:37,440
Yeah.

187
00:06:37,620 --> 00:06:42,340
Not just to fixing what's broken out to
potentially enhancing our mental experience.

188
00:06:42,341 --> 00:06:42,880
That's right.

189
00:06:43,020 --> 00:06:44,420
He doesn't shy away from that idea.

190
00:06:44,540 --> 00:06:44,640
Okay.

191
00:06:44,980 --> 00:06:50,040
His third avenue is all about AI helping
us build incredibly accurate

192
00:06:50,041 --> 00:06:53,480
computational models
of how our minds work.

193
00:06:53,920 --> 00:06:58,340
Imagine using these models to not
only understand conditions like autism.

194
00:06:58,820 --> 00:06:59,040
Okay.

195
00:06:59,120 --> 00:07:00,120
Or schizophrenia better.

196
00:07:00,600 --> 00:07:00,680
Right.

197
00:07:00,960 --> 00:07:06,040
But to develop personalized learning plans
that optimize how we learn and create.

198
00:07:06,620 --> 00:07:08,100
So instead of just treating deficits.

199
00:07:08,680 --> 00:07:08,820
Exactly.

200
00:07:08,821 --> 00:07:13,040
We're talking about using AI to
unlock our full cognitive potential.

201
00:07:13,360 --> 00:07:14,416
I like that way I put it again.

202
00:07:14,440 --> 00:07:15,600
That's incredibly exciting.

203
00:07:15,840 --> 00:07:16,920
But also a little daunting.

204
00:07:17,300 --> 00:07:17,360
Yeah.

205
00:07:17,600 --> 00:07:19,480
What about the ethical implications
of all this?

206
00:07:19,620 --> 00:07:21,800
So that's something Amadei
addresses head on.

207
00:07:22,040 --> 00:07:22,240
Okay.

208
00:07:22,540 --> 00:07:25,381
He doesn't pretend these advancements
won't come with tough questions.

209
00:07:25,580 --> 00:07:25,720
Right.

210
00:07:26,160 --> 00:07:28,992
But he argues that the
potential benefits, particularly

211
00:07:28,993 --> 00:07:33,600
in alleviating suffering,
are too great to ignore.

212
00:07:33,960 --> 00:07:34,040
Right.

213
00:07:34,041 --> 00:07:36,840
And his fourth avenue is
perhaps the most accessible.

214
00:07:37,300 --> 00:07:37,480
Okay.

215
00:07:37,980 --> 00:07:40,270
AI powered therapy available to everyone.

216
00:07:40,920 --> 00:07:41,140
Okay.

217
00:07:41,360 --> 00:07:43,320
Not just those who can
afford traditional therapy.

218
00:07:43,480 --> 00:07:44,480
That's huge.

219
00:07:45,540 --> 00:07:48,533
Imagine a world where
everyone has access

220
00:07:48,534 --> 00:07:52,080
to affordable, effective
mental health care.

221
00:07:52,380 --> 00:07:53,440
It's a powerful idea.

222
00:07:53,780 --> 00:07:55,060
Tailored to their unique needs.

223
00:07:55,520 --> 00:07:55,700
Mm-hmm.

224
00:07:55,920 --> 00:07:59,440
That could be a true game
changer for global well-being.

225
00:08:00,040 --> 00:08:03,200
And that brings us to another
crucial aspect of Amadei's vision.

226
00:08:03,201 --> 00:08:03,700
Okay.

227
00:08:04,060 --> 00:08:08,760
The impact of this compressed 21st
century on global inequality.

228
00:08:09,380 --> 00:08:09,580
Okay.

229
00:08:09,800 --> 00:08:14,420
He's very clear that while AI has the
potential to lift billions out of poverty.

230
00:08:14,840 --> 00:08:14,920
Right.

231
00:08:15,200 --> 00:08:16,700
It requires intentional effort.

232
00:08:17,140 --> 00:08:17,340
Right.

233
00:08:17,540 --> 00:08:19,020
Because technology itself is neutral.

234
00:08:19,200 --> 00:08:19,360
Exactly.

235
00:08:19,700 --> 00:08:21,920
It's how we choose to develop
it and deploy it.

236
00:08:22,040 --> 00:08:22,280
That's right.

237
00:08:22,520 --> 00:08:25,360
That will determine whether it benefits
everyone or just widens

238
00:08:25,361 --> 00:08:27,260
the gap between the haves
and the have-nots.

239
00:08:27,340 --> 00:08:27,860
Precisely.

240
00:08:27,960 --> 00:08:28,100
Okay.

241
00:08:28,580 --> 00:08:30,600
And Amadei sees this playing
out on several levels.

242
00:08:30,601 --> 00:08:30,860
Yep.

243
00:08:31,140 --> 00:08:33,340
First, there's the issue
of distributing those

244
00:08:33,341 --> 00:08:35,200
incredible health advances we
talked about.

245
00:08:35,240 --> 00:08:35,260
Okay.

246
00:08:35,720 --> 00:08:37,360
Think about the eradication of smallpox.

247
00:08:37,640 --> 00:08:38,300
Mm-hmm.

248
00:08:38,301 --> 00:08:40,740
A disease that once
ravaged entire populations.

249
00:08:41,240 --> 00:08:41,440
Yeah.

250
00:08:42,020 --> 00:08:44,240
With AI-powered strategies and logistics.

251
00:08:44,740 --> 00:08:44,820
Right.

252
00:08:45,220 --> 00:08:48,920
We could do the same for
diseases like malaria, tuberculosis.

253
00:08:49,420 --> 00:08:51,781
And even common
parasitic infections that

254
00:08:51,782 --> 00:08:54,040
disproportionately affect
developing countries.

255
00:08:54,300 --> 00:08:57,660
It's like a global health initiative,
but supercharged by AI.

256
00:08:58,040 --> 00:08:58,260
Exactly.

257
00:08:58,261 --> 00:09:01,400
And with AI-optimizing
distribution networks.

258
00:09:02,120 --> 00:09:05,480
Even the most remote communities could
benefit from these breakthroughs.

259
00:09:05,600 --> 00:09:06,600
Absolutely.

260
00:09:06,920 --> 00:09:11,400
Amadei also talks about AI's potential to
ignite a second green revolution.

261
00:09:11,820 --> 00:09:12,820
Okay.

262
00:09:12,960 --> 00:09:15,000
Imagine AI-optimizing crop yields.

263
00:09:15,400 --> 00:09:15,780
Mm-hmm.

264
00:09:15,920 --> 00:09:17,560
Developing drought-resistant seeds.

265
00:09:17,920 --> 00:09:18,080
Right.

266
00:09:18,420 --> 00:09:20,740
And revolutionizing food production
and distribution.

267
00:09:21,240 --> 00:09:21,320
Wow.

268
00:09:21,740 --> 00:09:24,580
We're talking about tackling hunger
on a global scale.

269
00:09:25,120 --> 00:09:25,200
Sure.

270
00:09:25,480 --> 00:09:27,500
Not just increasing profits for
a select few.

271
00:09:27,501 --> 00:09:29,160
That's a powerful vision.

272
00:09:30,580 --> 00:09:32,360
But let's be realistic for a moment.

273
00:09:32,540 --> 00:09:32,560
Okay.

274
00:09:32,740 --> 00:09:36,261
We've seen how technology can
sometimes exacerbate existing inequalities.

275
00:09:36,340 --> 00:09:36,440
Right.

276
00:09:36,800 --> 00:09:37,760
Even with the best of intentions.

277
00:09:37,800 --> 00:09:38,800
Of course.

278
00:09:39,220 --> 00:09:43,080
What about access to these
advancements within developed countries?

279
00:09:43,640 --> 00:09:43,680
Right.

280
00:09:43,880 --> 00:09:48,420
How do we ensure that everyone benefits
not just a wealthy elite?

281
00:09:48,920 --> 00:09:51,480
Amadei acknowledges that this is
a valid concern.

282
00:09:51,820 --> 00:09:52,020
Okay.

283
00:09:52,021 --> 00:09:57,620
He's not naive about the potential for AI
to be used for profit over people.

284
00:09:58,300 --> 00:10:01,280
But he argues that at
least in democratic societies.

285
00:10:02,040 --> 00:10:05,014
Market forces combined
with citizen demand will

286
00:10:05,015 --> 00:10:08,220
drive down costs and
increase access over time.

287
00:10:08,380 --> 00:10:08,600
Okay.

288
00:10:09,140 --> 00:10:10,840
Think about how quickly cell
phones went from

289
00:10:10,841 --> 00:10:12,920
luxury items to then
practically ubiquitous.

290
00:10:13,420 --> 00:10:15,680
That's a good point.
It seemed like almost overnight

291
00:10:15,681 --> 00:10:17,880
everyone in their grandmother
had a smartphone.

292
00:10:18,560 --> 00:10:18,740
Yeah.

293
00:10:18,880 --> 00:10:21,100
And it wasn't just about
the technology becoming cheaper.

294
00:10:21,101 --> 00:10:21,600
Right.

295
00:10:21,760 --> 00:10:24,360
It was also about people
recognizing the value.

296
00:10:24,640 --> 00:10:25,000
Exactly.

297
00:10:25,220 --> 00:10:26,400
Demanding to be connected.

298
00:10:26,840 --> 00:10:26,980
Yes.

299
00:10:27,160 --> 00:10:29,300
So you're saying a similar
dynamic could play out?

300
00:10:29,600 --> 00:10:29,920
Yes, right.

301
00:10:30,100 --> 00:10:32,180
With these AI-powered advancements.

302
00:10:32,760 --> 00:10:33,760
Exactly.

303
00:10:33,800 --> 00:10:36,860
As people experience the transformative
power of these technologies.

304
00:10:37,240 --> 00:10:37,340
Right.

305
00:10:37,780 --> 00:10:39,580
Whether it's a life
-saving medical treatment.

306
00:10:39,620 --> 00:10:39,800
Okay.

307
00:10:40,320 --> 00:10:44,420
Or personalized education that unlocks
a child's full potential.

308
00:10:44,960 --> 00:10:45,280
Mm-hmm.

309
00:10:45,540 --> 00:10:48,680
They'll demand access for themselves
and their families.

310
00:10:48,681 --> 00:10:51,080
So we're not just talking
about making AI affordable.

311
00:10:51,400 --> 00:10:54,000
We're talking about like, I don't know,
a fundamental shift.

312
00:10:54,440 --> 00:10:54,500
Right.

313
00:10:54,920 --> 00:10:56,960
In how we value these advancements.

314
00:10:57,500 --> 00:11:00,040
How we ensure that they're seen
as like a public good.

315
00:11:00,260 --> 00:11:00,480
Mm-hmm.

316
00:11:00,760 --> 00:11:03,300
Not just another luxury for
the privileged few.

317
00:11:03,660 --> 00:11:03,780
Right.

318
00:11:04,020 --> 00:11:05,280
And that connects to another concern.

319
00:11:05,281 --> 00:11:08,440
Amade raises what he calls
the opt-out problem.

320
00:11:08,680 --> 00:11:08,780
Okay.

321
00:11:09,120 --> 00:11:10,200
It's not just about access.

322
00:11:10,480 --> 00:11:10,580
Right.

323
00:11:10,860 --> 00:11:15,500
But about those who might choose to
forgo the benefits of AI altogether.

324
00:11:16,020 --> 00:11:16,120
Okay.

325
00:11:16,240 --> 00:11:16,660
This is interesting.

326
00:11:16,661 --> 00:11:19,180
We haven't really dug into this
side of things yet.

327
00:11:19,560 --> 00:11:21,979
Who are these people
and why would they opt

328
00:11:21,980 --> 00:11:24,120
out of something
potentially so beneficial?

329
00:11:24,180 --> 00:11:27,060
It's a diverse group with complex reasons.

330
00:11:27,340 --> 00:11:27,480
Okay.

331
00:11:27,860 --> 00:11:29,660
Some might distrust the technology.

332
00:11:29,661 --> 00:11:30,080
Yeah.

333
00:11:30,240 --> 00:11:32,720
Due to misinformation or
religious beliefs.

334
00:11:32,721 --> 00:11:33,300
Mm-hmm.

335
00:11:33,301 --> 00:11:34,760
Others might simply fear change.

336
00:11:35,240 --> 00:11:35,520
Okay.

337
00:11:35,640 --> 00:11:36,940
Especially such rapid change.

338
00:11:37,340 --> 00:11:37,460
Yeah.

339
00:11:37,680 --> 00:11:38,680
And prefer the familiar.

340
00:11:38,880 --> 00:11:38,980
Right.

341
00:11:39,440 --> 00:11:41,940
Even if it means missing out
on life-changing advancements.

342
00:11:42,340 --> 00:11:44,120
It's almost like a
self-imposed disadvantage.

343
00:11:44,180 --> 00:11:44,740
Yeah.

344
00:11:44,900 --> 00:11:45,400
You could say that.

345
00:11:45,401 --> 00:11:47,840
And as AI becomes more
integrated into society.

346
00:11:48,320 --> 00:11:48,360
Right.

347
00:11:48,640 --> 00:11:51,800
Those who opt out could find
themselves increasingly left behind, right?

348
00:11:51,820 --> 00:11:52,220
Exactly.

349
00:11:52,740 --> 00:11:56,680
It's not hard to imagine a
scenario where access to education.

350
00:11:57,060 --> 00:11:57,160
Right.

351
00:11:57,640 --> 00:11:57,800
Healthcare.

352
00:11:58,520 --> 00:11:58,580
Yeah.

353
00:11:59,160 --> 00:12:00,160
Even job opportunities.

354
00:12:01,260 --> 00:12:04,100
Hinges on engagement with AI in some way.

355
00:12:04,220 --> 00:12:05,980
Which creates a whole new
set of challenges.

356
00:12:06,320 --> 00:12:06,560
It does.

357
00:12:06,840 --> 00:12:09,480
It's not enough to just
develop these incredible advancements.

358
00:12:09,760 --> 00:12:10,060
Yeah, right.

359
00:12:10,440 --> 00:12:12,620
We also need to address
the underlying reasons.

360
00:12:13,300 --> 00:12:13,420
Right.

361
00:12:13,421 --> 00:12:15,480
Why some people might reject them.

362
00:12:15,680 --> 00:12:18,320
And Amadeus sees a critical
role for education here.

363
00:12:18,500 --> 00:12:19,500
Okay.

364
00:12:19,640 --> 00:12:22,300
Clear, honest communication about AI.

365
00:12:22,740 --> 00:12:22,860
Right.

366
00:12:23,140 --> 00:12:25,040
Both its risks and its potential.

367
00:12:25,260 --> 00:12:25,580
Mmm.

368
00:12:25,980 --> 00:12:27,220
It's about building trust.

369
00:12:27,600 --> 00:12:27,720
Yeah.

370
00:12:28,060 --> 00:12:31,640
And ensuring that everyone feels included
in this technological revolution.

371
00:12:31,980 --> 00:12:32,060
Nope.

372
00:12:32,100 --> 00:12:34,200
Not just the early adopters or tech elite.

373
00:12:34,460 --> 00:12:34,820
Of course.

374
00:12:35,200 --> 00:12:37,960
But even if we address these
issues of access and adoption,

375
00:12:38,200 --> 00:12:41,660
there's another layer of concern that
Amade doesn't shy away

376
00:12:41,661 --> 00:12:45,900
from the impact of this
compressed 21st century.

377
00:12:46,200 --> 00:12:46,240
Yeah.

378
00:12:46,580 --> 00:12:47,760
On the very meaning of work.

379
00:12:48,120 --> 00:12:48,740
It's a big one.

380
00:12:48,900 --> 00:12:49,060
Right.

381
00:12:49,340 --> 00:12:51,700
Because if AI is automating so many jobs.

382
00:12:52,060 --> 00:12:52,220
Yeah.

383
00:12:52,480 --> 00:12:54,120
What happens to our sense of purpose.

384
00:12:54,200 --> 00:12:54,760
Right.

385
00:12:54,860 --> 00:12:55,820
Our place in the world.

386
00:12:55,821 --> 00:12:56,380
Mmm-hmm.

387
00:12:56,460 --> 00:12:59,560
Are we all destined to become
like those pampered pets.

388
00:12:59,980 --> 00:13:00,100
Right.

389
00:13:00,600 --> 00:13:02,960
Completely reliant on our AI overlords.

390
00:13:03,440 --> 00:13:06,680
Well, Amadeus actually pushes back
against this idea.

391
00:13:06,940 --> 00:13:07,100
Okay.

392
00:13:07,460 --> 00:13:10,840
That our worth is solely defined
by our economic output.

393
00:13:10,841 --> 00:13:11,180
Right.

394
00:13:11,580 --> 00:13:15,120
By how much we can produce or
achieve in a traditional sense.

395
00:13:15,740 --> 00:13:17,600
He argues that meaning comes
from many sources.

396
00:13:18,080 --> 00:13:18,280
Okay.

397
00:13:18,580 --> 00:13:19,580
Relationships.

398
00:13:19,700 --> 00:13:20,700
Creativity.

399
00:13:20,900 --> 00:13:21,340
Personal passions.

400
00:13:21,780 --> 00:13:22,020
Mmm-hmm.

401
00:13:22,040 --> 00:13:25,440
Even just the simple joy
of experiencing life itself.

402
00:13:25,840 --> 00:13:26,020
Yeah.

403
00:13:26,360 --> 00:13:29,360
And in a world where AI takes
care of many of the necessities.

404
00:13:29,920 --> 00:13:29,960
Right.

405
00:13:30,200 --> 00:13:31,840
We might have even more time and freedom.

406
00:13:32,220 --> 00:13:32,360
Yeah.

407
00:13:32,780 --> 00:13:34,580
To explore those other
avenues of fulfillment.

408
00:13:34,980 --> 00:13:37,200
It's like shifting from a
culture of productivity.

409
00:13:37,660 --> 00:13:37,720
Yes.

410
00:13:38,060 --> 00:13:39,320
To a culture of possibility.

411
00:13:39,740 --> 00:13:40,100
I like that.

412
00:13:40,101 --> 00:13:43,500
Where we're free to pursue
what truly interests us.

413
00:13:43,700 --> 00:13:43,760
Right.

414
00:13:43,920 --> 00:13:44,920
What brings us joy.

415
00:13:45,100 --> 00:13:45,280
Exactly.

416
00:13:45,580 --> 00:13:47,260
Without the pressure of
economic necessity.

417
00:13:47,700 --> 00:13:48,020
Mmm-hmm.

418
00:13:48,240 --> 00:13:49,560
But that raises another question.

419
00:13:50,980 --> 00:13:51,120
Okay.

420
00:13:51,700 --> 00:13:53,380
If AI is doing most of the work.

421
00:13:53,780 --> 00:13:53,880
Right.

422
00:13:54,120 --> 00:13:57,020
How do we ensure everyone
benefits from this abundance.

423
00:13:57,560 --> 00:13:57,680
Right.

424
00:13:58,140 --> 00:14:00,520
Rather than just to select few
who own the AI.

425
00:14:01,000 --> 00:14:04,160
So Amadei acknowledges that the
traditional economic models.

426
00:14:04,480 --> 00:14:04,640
Okay.

427
00:14:05,000 --> 00:14:07,160
Based on scarcity and competition.

428
00:14:07,700 --> 00:14:07,780
Right.

429
00:14:07,781 --> 00:14:12,800
Might need a serious rethink in
this compressed 21st century.

430
00:14:12,980 --> 00:14:13,240
Okay.

431
00:14:13,640 --> 00:14:16,700
He talks about the need for a
more equitable distribution of resources.

432
00:14:17,040 --> 00:14:17,180
Okay.

433
00:14:17,420 --> 00:14:19,580
Perhaps through something like a
global wealth tax.

434
00:14:19,920 --> 00:14:20,260
Mmm-hmm.

435
00:14:20,261 --> 00:14:25,781
Or a system where AI itself helps to manage
and distribute the abundance it creates.

436
00:14:26,200 --> 00:14:28,540
So it's not just about
humans redistributing wealth.

437
00:14:29,100 --> 00:14:29,160
Right.

438
00:14:29,260 --> 00:14:31,900
It's about designing AI systems that
are inherently more equitable.

439
00:14:32,640 --> 00:14:34,980
That prioritize the well-being
of all people.

440
00:14:35,260 --> 00:14:36,300
Not just profit margins.

441
00:14:36,301 --> 00:14:36,840
Right.

442
00:14:37,160 --> 00:14:40,360
It's a huge challenge but
also an incredible opportunity.

443
00:14:40,860 --> 00:14:41,460
It really is.

444
00:14:41,520 --> 00:14:43,400
To rethink our relationship with work.

445
00:14:43,780 --> 00:14:43,980
Yeah.

446
00:14:44,100 --> 00:14:44,400
With wealth.

447
00:14:45,080 --> 00:14:45,540
With each other.

448
00:14:45,720 --> 00:14:46,100
Exactly.

449
00:14:46,420 --> 00:14:52,500
And that's what makes Amadei's vision of
a compressed 21st century so compelling.

450
00:14:53,080 --> 00:14:53,180
Yeah.

451
00:14:53,420 --> 00:14:54,800
It's not some utopian fantasy.

452
00:14:55,360 --> 00:14:55,540
Right.

453
00:14:55,720 --> 00:14:58,340
Where technology magically solves
all our problems.

454
00:14:58,520 --> 00:14:58,740
Of course.

455
00:14:59,080 --> 00:15:00,080
It's a call to action.

456
00:15:00,280 --> 00:15:00,440
Okay.

457
00:15:00,680 --> 00:15:04,640
A challenge to step up and
actively shape this future.

458
00:15:04,920 --> 00:15:05,160
Right.

459
00:15:05,161 --> 00:15:10,420
To ensure that it reflects our values,
our aspirations for a better world.

460
00:15:10,640 --> 00:15:12,921
It's a future that's both exhilarating
and a bit daunting.

461
00:15:13,380 --> 00:15:13,420
Yeah.

462
00:15:13,520 --> 00:15:15,600
Full of possibilities and
potential pitfalls.

463
00:15:16,220 --> 00:15:16,440
For sure.

464
00:15:16,640 --> 00:15:19,520
But as Amadei reminds us,
it's not predetermined.

465
00:15:20,320 --> 00:15:20,540
It's not.

466
00:15:20,700 --> 00:15:23,154
It's a future that we
all of us have a hand

467
00:15:23,155 --> 00:15:25,500
in creating through the
choices we make today.

468
00:15:25,880 --> 00:15:26,200
It's true.

469
00:15:26,600 --> 00:15:27,820
So what role will you play?

470
00:15:28,320 --> 00:15:28,800
Yeah, that's the question.

471
00:15:29,280 --> 00:15:31,880
That's something to ponder as we
wrap up this deep dive.

472
00:15:32,240 --> 00:15:32,440
Yes.

473
00:15:32,441 --> 00:15:35,080
Into Dario Amadei's bold vision
of the future.

474
00:15:35,440 --> 00:15:36,020
It's a good good one.

475
00:15:36,260 --> 00:15:37,960
We'll leave you with that
thought and a gentle

476
00:15:37,961 --> 00:15:40,500
reminder to subscribe for
more mind-expanding

477
00:15:40,501 --> 00:15:43,860
explorations at the cutting edge
of AI and beyond.

478
00:15:44,560 --> 00:15:45,560
Until next time.

479
00:15:45,620 --> 00:15:48,020
Until next time,
keep asking those big questions.

480
00:15:48,520 --> 00:15:48,820
Keep learning.

481
00:15:49,120 --> 00:15:53,121
Keep pushing the boundaries of what's
possible and most importantly, keep learning.