1
00:00:00,000 --> 00:00:03,360
Hey, everyone, and welcome back for another Deep Dive.

2
00:00:03,360 --> 00:00:08,440
Today, we're going to be talking about a company you've probably never heard of, but one that

3
00:00:08,440 --> 00:00:10,280
you should absolutely know about.

4
00:00:10,280 --> 00:00:11,280
And that's DeepSeek.

5
00:00:11,280 --> 00:00:12,280
Darrell Bock DeepSeek.

6
00:00:12,280 --> 00:00:13,780
Yeah, DeepSeek.

7
00:00:13,780 --> 00:00:18,320
And we've got excerpts from this book here called Breaking the AI Barrier.

8
00:00:18,320 --> 00:00:19,960
And this book is wild.

9
00:00:19,960 --> 00:00:25,360
DeepSeek is this tiny Chinese firm that's totally shaking up the AI world, taking on

10
00:00:25,360 --> 00:00:29,360
these giants with a budget that's basically like pocket change for Silicon Valley.

11
00:00:29,360 --> 00:00:31,880
Darrell Bock It really is a David versus Calliott story.

12
00:00:31,880 --> 00:00:32,880
It is.

13
00:00:32,880 --> 00:00:37,480
We're talking $5 million for DeepSeek versus the billions that companies like Google and

14
00:00:37,480 --> 00:00:39,580
Microsoft pour into AI.

15
00:00:39,580 --> 00:00:43,960
What DeepSeek has managed to achieve with such limited resources, it's just fascinating.

16
00:00:43,960 --> 00:00:45,560
Darrell Bock Okay, so before we get into DeepSeek's

17
00:00:45,560 --> 00:00:47,840
secret sauce, can you kind of set the scene for us?

18
00:00:47,840 --> 00:00:50,120
AI used to be this exclusive club, right?

19
00:00:50,120 --> 00:00:51,360
Darrell Bock Absolutely.

20
00:00:51,360 --> 00:00:56,360
For years, artificial intelligence was the domain of elite universities, heavily funded

21
00:00:56,360 --> 00:00:59,800
research labs, and of course those massive tech companies.

22
00:00:59,800 --> 00:01:00,800
But things are shifting.

23
00:01:00,800 --> 00:01:02,760
And DeepSeek is right at the forefront of this change.

24
00:01:02,760 --> 00:01:05,720
Darrell Bock This book, Breaking the AI Barrier, calls

25
00:01:05,720 --> 00:01:08,120
it the democratization of AI.

26
00:01:08,120 --> 00:01:09,120
What exactly does that mean?

27
00:01:09,120 --> 00:01:11,040
Darrell Bock It means that the tools and the knowledge

28
00:01:11,040 --> 00:01:18,040
needed to develop AI are becoming more accessible to a wider range of barrier, people and organizations.

29
00:01:18,040 --> 00:01:20,480
It's no longer a game just for the giants.

30
00:01:20,480 --> 00:01:23,600
There's several factors that are driving this, like the sheer increase in computing

31
00:01:23,600 --> 00:01:28,340
power that we've seen, hardware is getting keeper, cloud computing is making resources

32
00:01:28,340 --> 00:01:32,320
readily available, and online education is exploding.

33
00:01:32,320 --> 00:01:35,400
Suddenly the barrier to entry is significantly lower than it used to be.

34
00:01:35,400 --> 00:01:37,320
Darrell Bock So like how the internet gave anyone with

35
00:01:37,320 --> 00:01:41,880
a computer a voice, now these advancements are giving more people the power to, tinker

36
00:01:41,880 --> 00:01:43,240
with and build their own AI.

37
00:01:43,240 --> 00:01:45,200
Darrell Bock That's a great analogy.

38
00:01:45,200 --> 00:01:49,440
And a big part of this democratization is the rise of open source technology.

39
00:01:49,440 --> 00:01:52,840
Think of it like a recipe book for AI that everyone can access.

40
00:01:52,840 --> 00:01:54,680
To read to and improve upon.

41
00:01:54,680 --> 00:01:58,800
Instead of each company guarding its AI secrets like these precious jewels, they're sharing

42
00:01:58,800 --> 00:02:01,120
components algorithms, even whole systems.

43
00:02:01,120 --> 00:02:03,240
Darrell Bock So deep seek is taking advantage of this

44
00:02:03,240 --> 00:02:05,040
open buffet of AI knowledge.

45
00:02:05,040 --> 00:02:06,360
Darrell Bock They are.

46
00:02:06,360 --> 00:02:09,440
And that's a key part of how they've achieved so much with so little.

47
00:02:09,440 --> 00:02:14,480
They're masters at using what's already out there, combining it in innovative ways, and

48
00:02:14,480 --> 00:02:18,680
focusing their own resources on the areas where they can truly differentiate themselves.

49
00:02:18,680 --> 00:02:19,680
Darrell Bock Clever.

50
00:02:19,680 --> 00:02:24,560
But the book also argues that you don't need billions of dollars to make a real impact

51
00:02:24,560 --> 00:02:25,560
in AI.

52
00:02:25,560 --> 00:02:27,680
They used this analogy about a garden and a factory.

53
00:02:27,680 --> 00:02:28,680
What's that all about?

54
00:02:28,680 --> 00:02:30,560
Darrell Bock Oh it's a great way to illustrate their

55
00:02:30,560 --> 00:02:31,560
point.

56
00:02:31,560 --> 00:02:34,240
Imagine a wealthy industrialist trying to grow the most beautiful roses.

57
00:02:34,240 --> 00:02:35,240
Darrell Bock Yeah.

58
00:02:35,240 --> 00:02:37,160
Darrell Bock By building this massive high tech factory,

59
00:02:37,160 --> 00:02:40,200
he throws tons of money and technology at the problem.

60
00:02:40,200 --> 00:02:45,240
But next door, his neighbor is quietly tending to this simple garden.

61
00:02:45,240 --> 00:02:48,160
Using traditional methods and a deep understanding of how roses thrive.

62
00:02:48,160 --> 00:02:49,160
And guess what?

63
00:02:49,160 --> 00:02:50,160
Darrell Bock What?

64
00:02:50,160 --> 00:02:50,960
Darrell Bock The neighbors' roses turn out to be more

65
00:02:50,960 --> 00:02:53,960
vibrant, more fragrant, just plain better.

66
00:02:53,960 --> 00:02:55,840
Darrell Bock Because it's not about brute force.

67
00:02:55,840 --> 00:02:57,440
It's about the knowledge and the skill.

68
00:02:57,440 --> 00:02:58,800
Darrell Bock Exactly.

69
00:02:58,800 --> 00:03:03,280
The book argues that DeepSeek's success is based on this garden approach.

70
00:03:03,280 --> 00:03:05,760
They're not trying to outspend the giants.

71
00:03:05,760 --> 00:03:12,300
They're outsmarting them by being laser focused on their goals, efficient with their resources,

72
00:03:12,300 --> 00:03:15,280
and incredibly resourceful in leveraging what's already available.

73
00:03:15,280 --> 00:03:17,680
Darrell Bock All right, so we've got this scrappy underdog,

74
00:03:17,680 --> 00:03:18,680
DeepSeek.

75
00:03:18,680 --> 00:03:21,840
Looking on the AI establishment, can you paint a picture for us?

76
00:03:21,840 --> 00:03:25,080
What's a typical big tech approach to AI development?

77
00:03:25,080 --> 00:03:26,800
And how does DeepSeek's strategy differ?

78
00:03:26,800 --> 00:03:28,680
Darrell Bock Well, the big tech playbook often looks

79
00:03:28,680 --> 00:03:29,680
like this.

80
00:03:29,680 --> 00:03:33,240
Throw massive amounts of data computing power and money at a problem.

81
00:03:33,240 --> 00:03:34,880
Build everything in-house.

82
00:03:34,880 --> 00:03:37,040
And keep your advancements closely guarded.

83
00:03:37,040 --> 00:03:38,640
It's a resource heavy approach.

84
00:03:38,640 --> 00:03:41,480
Almost like an arms race to see who can be the biggest and the strongest.

85
00:03:41,480 --> 00:03:43,920
Darrell Bock And DeepSeek is going for a more nimble,

86
00:03:43,920 --> 00:03:45,520
almost gorilla style approach.

87
00:03:45,520 --> 00:03:48,920
DeepSeek Exactly, they're leveraging the power of open-source

88
00:03:48,920 --> 00:03:54,960
technologies, which allows them to tap into this vast pool of pre-existing knowledge and

89
00:03:54,960 --> 00:03:56,200
tools.

90
00:03:56,200 --> 00:04:01,200
They're embracing cloud computing to access flexible and affordable computing power when

91
00:04:01,200 --> 00:04:02,200
they need it.

92
00:04:02,200 --> 00:04:07,000
And they're building collaborative networks, partnering with universities and other organizations

93
00:04:07,000 --> 00:04:08,960
to share knowledge and resources.

94
00:04:08,960 --> 00:04:11,560
Darrell Bock So they're basically saying, we don't need

95
00:04:11,560 --> 00:04:13,120
to build everything from scratch.

96
00:04:13,120 --> 00:04:15,000
Let's use what's already out there.

97
00:04:15,000 --> 00:04:18,720
Build it in smart ways and focus our energy on the things that truly matter.

98
00:04:18,720 --> 00:04:20,120
DeepSeek That's exactly it.

99
00:04:20,120 --> 00:04:23,480
And this approach is sending ripples through the entire AI industry.

100
00:04:23,480 --> 00:04:24,680
Darrell Bock I bet it is.

101
00:04:24,680 --> 00:04:28,240
The big players probably weren't expecting this small resourceful company to come along

102
00:04:28,240 --> 00:04:29,800
and shake things up like this.

103
00:04:29,800 --> 00:04:32,760
But what does it actually mean for the AI landscape?

104
00:04:32,760 --> 00:04:35,960
How has DeepSeek's approach challenged the status quo?

105
00:04:35,960 --> 00:04:39,720
DeepSeek's success is like a shot across the bow for the whole industry.

106
00:04:39,720 --> 00:04:43,640
It's challenging those traditional assumptions that you need to be this massive company with

107
00:04:43,640 --> 00:04:44,960
billions of dollars.

108
00:04:44,960 --> 00:04:46,560
But you even innovate in AI.

109
00:04:46,560 --> 00:04:48,720
It's a wake up call for sure.

110
00:04:48,720 --> 00:04:54,080
DeepSeek has demonstrated that a small, agile team working collaboratively and leveraging

111
00:04:54,080 --> 00:04:57,280
existing resources can't achieve groundbreaking results.

112
00:04:57,280 --> 00:04:59,680
Darrell Bock It's making those big tech companies rethink

113
00:04:59,680 --> 00:05:00,920
their whole approach, isn't it?

114
00:05:00,920 --> 00:05:02,960
They can't just ignore what DeepSeek has accomplished.

115
00:05:02,960 --> 00:05:03,960
DeepSeek Exactly.

116
00:05:03,960 --> 00:05:10,320
DeepSeek's story highlights a shift towards a more open and collaborative mile of AI development.

117
00:05:10,320 --> 00:05:15,840
The old paradigm of proprietary technologies and closed ecosystems is starting to give

118
00:05:15,840 --> 00:05:19,760
way to a more decentralized and inclusive approach.

119
00:05:19,760 --> 00:05:22,000
Darrell Bock So it's like the walls are coming down and

120
00:05:22,000 --> 00:05:27,040
suddenly there's this whole new playground for innovation where anyone can participate.

121
00:05:27,040 --> 00:05:28,480
DeepSeek That's a great way to put it.

122
00:05:28,480 --> 00:05:33,320
And this has huge implications, not just for the tech industry, but for society as a whole.

123
00:05:33,320 --> 00:05:37,440
We're talking about a fundamental shift in the way we develop and interact with technology.

124
00:05:37,440 --> 00:05:38,440
Darrell Bock Okay.

125
00:05:38,440 --> 00:05:39,680
So let's talk about those wider implications.

126
00:05:39,680 --> 00:05:45,120
I think a lot of people hear AI revolution and their minds jump to dystopian sci-fi scenarios.

127
00:05:45,120 --> 00:05:49,680
But what are the real tangible ways this democratization of AI is going to impact our lives?

128
00:05:49,680 --> 00:05:51,440
DeepSeek Well, one of the most significant areas is

129
00:05:51,440 --> 00:05:53,280
the future of work.

130
00:05:53,280 --> 00:05:57,960
As AI becomes more sophisticated and accessible, we're going to see more and more tasks being

131
00:05:57,960 --> 00:05:58,960
automated.

132
00:05:58,960 --> 00:06:03,280
This will inevitably lead to changes in the job market, with some jobs disappearing and

133
00:06:03,280 --> 00:06:04,280
new ones emerging.

134
00:06:04,280 --> 00:06:06,560
Darrell Bock It's the question everyone is asking, are robots

135
00:06:06,560 --> 00:06:07,560
going to take our jobs?

136
00:06:07,560 --> 00:06:09,320
DeepSeek It's not as simple as that.

137
00:06:09,320 --> 00:06:12,200
It's not about AI replacing humans entirely.

138
00:06:12,200 --> 00:06:17,960
It's more about AI augmenting our capabilities, taking over repetitive or dangerous tasks,

139
00:06:17,960 --> 00:06:22,200
and freeing us up to focus on things that require uniquely human skills.

140
00:06:22,200 --> 00:06:24,280
Darrell Bock Like creativity, critical thinking, problem

141
00:06:24,280 --> 00:06:26,800
solving, those things that robots aren't so good at yet.

142
00:06:26,800 --> 00:06:27,800
DeepSeek Exactly.

143
00:06:27,800 --> 00:06:30,880
Those skills are going to be more valuable than ever in an AI-driven world.

144
00:06:30,880 --> 00:06:33,360
Darrell Bock So it's less about fearing AI and more

145
00:06:33,360 --> 00:06:36,720
about adapting to this changing landscape, right?

146
00:06:36,720 --> 00:06:41,400
What can people do to prepare for this future of work, where AI is going to be a major player?

147
00:06:41,400 --> 00:06:43,680
DeepSeek The key is to focus on developing those skills

148
00:06:43,680 --> 00:06:48,520
that are uniquely human and difficult to automate, things like creativity, critical thinking,

149
00:06:48,520 --> 00:06:51,200
emotional intelligence, complex problem solving.

150
00:06:51,200 --> 00:06:53,560
These are the areas where humans will continue to have an edge.

151
00:06:53,560 --> 00:06:55,400
Darrell Bock So it's not just about learning to code,

152
00:06:55,400 --> 00:06:59,600
it's about nurturing those human skills that make us adaptable and innovative.

153
00:06:59,600 --> 00:07:00,680
DeepSeek Precisely.

154
00:07:00,680 --> 00:07:06,120
It's about lifelong learning, being adaptable, and embracing the idea that the jobs of the

155
00:07:06,120 --> 00:07:09,240
future may look very different from the jobs of today.

156
00:07:09,240 --> 00:07:11,680
DeepSeek It's exciting and a little daunting at the

157
00:07:11,680 --> 00:07:18,200
same time, but it sounds like the democratization of AI could actually create a lot of new opportunities,

158
00:07:18,200 --> 00:07:19,200
not just challenges.

159
00:07:19,200 --> 00:07:20,880
Darrell Bock Absolutely.

160
00:07:20,880 --> 00:07:23,200
Think about the potential for entrepreneurship.

161
00:07:23,200 --> 00:07:28,720
As AI tools become more accessible and affordable, it lowers the barriers to entry for startups

162
00:07:28,720 --> 00:07:30,520
and small businesses.

163
00:07:30,520 --> 00:07:34,120
Suddenly you don't need a huge team of engineers and millions of dollars.

164
00:07:34,120 --> 00:07:37,120
To develop innovative products and services powered by AI.

165
00:07:37,120 --> 00:07:39,280
DeepSeek So it's kind of leveling the playing field

166
00:07:39,280 --> 00:07:43,120
for entrepreneurs, just like open sources leveling the playing field for developers.

167
00:07:43,120 --> 00:07:45,120
Darrell Bock That's a great way to put it.

168
00:07:45,120 --> 00:07:49,760
And this can lead to a more dynamic and diverse economy, with new ideas and innovations coming

169
00:07:49,760 --> 00:07:51,160
from all corners of the world.

170
00:07:51,160 --> 00:07:54,440
DeepSeek That's a really optimistic view of the future,

171
00:07:54,440 --> 00:07:57,240
but we'd be remiss if we didn't talk about the potential downsides.

172
00:07:57,240 --> 00:08:03,000
I mean, with any powerful technology, there's always the risk of misuse or unintended consequences.

173
00:08:03,000 --> 00:08:04,560
Darrell Bock You're right.

174
00:08:04,560 --> 00:08:07,760
It's important to acknowledge those potential challenges.

175
00:08:07,760 --> 00:08:12,000
One concern is the potential for economic disruption.

176
00:08:12,000 --> 00:08:17,120
As AI automates more tasks, there will be job displacement in certain sectors.

177
00:08:17,120 --> 00:08:21,200
We need to be prepared to support those who are affected and help them transition to new

178
00:08:21,200 --> 00:08:22,200
roles.

179
00:08:22,200 --> 00:08:23,720
DeepSeek So retraining and education are going to be

180
00:08:23,720 --> 00:08:24,720
crucial.

181
00:08:24,720 --> 00:08:25,720
Darrell Bock Absolutely.

182
00:08:25,720 --> 00:08:29,360
We need to invest in programs that equip people with the skills they need to thrive in this

183
00:08:29,360 --> 00:08:31,360
evolving job market.

184
00:08:31,360 --> 00:08:35,680
But it's not just about jobs, it's also about ensuring that the benefits of AI are distributed

185
00:08:35,680 --> 00:08:36,680
equitably.

186
00:08:36,680 --> 00:08:37,680
DeepSeek What do you mean by that?

187
00:08:37,680 --> 00:08:39,000
Darrell Bock Well, we need to be mindful of the potential

188
00:08:39,000 --> 00:08:46,240
for AI to exacerbate existing inequalities if access to AI tools and resources is concentrated

189
00:08:46,240 --> 00:08:47,720
in the hands of a few.

190
00:08:47,720 --> 00:08:49,800
It could widen the gap between the has and the have-nots.

191
00:08:49,800 --> 00:08:52,320
DeepSeek So it's not just about making AI accessible,

192
00:08:52,320 --> 00:08:56,120
it's about making sure that access is fair and equitable for everyone, regardless of

193
00:08:56,120 --> 00:08:57,240
their background or resources.

194
00:08:57,240 --> 00:08:58,680
Darrell Bock That's exactly right.

195
00:08:58,680 --> 00:09:04,200
We need to think about how to ensure that the benefits of AI are shared broadly across

196
00:09:04,200 --> 00:09:05,200
society.

197
00:09:05,200 --> 00:09:06,200
DeepSeek I'm glad you brought that up.

198
00:09:06,200 --> 00:09:09,880
It's easy to get caught up in the excitement of the technology and forget about the human

199
00:09:09,880 --> 00:09:13,560
element, but ultimately AI is a tool.

200
00:09:13,560 --> 00:09:17,400
And like any tool, it can be used for good or for bad.

201
00:09:17,400 --> 00:09:20,360
It all depends on who's wielding it and for what purpose.

202
00:09:20,360 --> 00:09:21,680
Darrell Bock I couldn't agree more.

203
00:09:21,680 --> 00:09:25,320
That's why it's so important to have these conversations about the ethical implications

204
00:09:25,320 --> 00:09:27,240
of AI.

205
00:09:27,240 --> 00:09:31,720
As we move towards a future where AI is more pervasive, we need to be thinking about the

206
00:09:31,720 --> 00:09:33,680
values we want to embed in these systems.

207
00:09:33,680 --> 00:09:36,120
DeepSeek So it's not just about building cool new

208
00:09:36,120 --> 00:09:40,720
tech, it's about building tech that reflects our values and serves humanity as a whole.

209
00:09:40,720 --> 00:09:41,720
Darrell Bock That's exactly it.

210
00:09:41,720 --> 00:09:45,680
And this is where the democratization of AI can actually play a positive role.

211
00:09:45,680 --> 00:09:50,160
By making AI development more inclusive and participatory, we can ensure that a wider

212
00:09:50,160 --> 00:09:54,920
range of voices are heard and that these technologies are designed with ethical considerations in

213
00:09:54,920 --> 00:09:55,920
mind.

214
00:09:55,920 --> 00:10:00,760
And more diversity in the field of AI development can lead to more ethical and responsible outcomes.

215
00:10:00,760 --> 00:10:02,480
DeepSeek That's the idea.

216
00:10:02,480 --> 00:10:07,200
By bringing together people from different backgrounds, disciplines and perspectives,

217
00:10:07,200 --> 00:10:11,080
we can create a more robust and nuanced approach to AI ethics.

218
00:10:11,080 --> 00:10:15,920
It's about having those difficult conversations, challenging assumptions, and ensuring that

219
00:10:15,920 --> 00:10:21,440
AI is developed and used in a way that benefits all of humanity, not just a select few.

220
00:10:21,440 --> 00:10:26,760
This has been an incredible overview of the implications of AI democratization.

221
00:10:26,760 --> 00:10:32,080
I feel like we've covered so much ground from the future of work to ethical considerations,

222
00:10:32,080 --> 00:10:34,600
to the potential for economic disruption and opportunity.

223
00:10:34,600 --> 00:10:36,680
But you know what I keep coming back to?

224
00:10:36,680 --> 00:10:37,680
Darrell Bock With that?

225
00:10:37,680 --> 00:10:40,000
DeepSeek, this small company.

226
00:10:40,000 --> 00:10:44,440
That's not just innovating in AI, but also challenging our whole approach to innovation

227
00:10:44,440 --> 00:10:45,440
itself.

228
00:10:45,440 --> 00:10:48,640
They're proving that it's not just about resources, it's about resourcefulness.

229
00:10:48,640 --> 00:10:50,680
Darrell Bock That's what's so inspiring about their story,

230
00:10:50,680 --> 00:10:55,760
they've given us this blueprint for success in a world that's rapidly changing, showing

231
00:10:55,760 --> 00:10:59,640
us that it's possible to achieve incredible things, even when you're not the biggest player

232
00:10:59,640 --> 00:11:00,640
in the game.

233
00:11:00,640 --> 00:11:03,080
DeepSeek Okay, so before we wrap up this deep dive,

234
00:11:03,080 --> 00:11:05,160
I want to bring it back to you, the listener.

235
00:11:05,160 --> 00:11:09,720
If DeepSeek, this little engine that could, can shake up the AI world, what does that

236
00:11:09,720 --> 00:11:10,720
mean for you?

237
00:11:10,720 --> 00:11:13,720
What are the lessons we can all take away from their journey?

238
00:11:13,720 --> 00:11:16,600
And apply to our own lives, our own work, our own aspirations?

239
00:11:16,600 --> 00:11:20,280
I think DeepSeek's story really underscores that impactful innovation.

240
00:11:20,280 --> 00:11:24,920
It doesn't always come from those giant well-funded labs, they can sprout up anywhere, even from

241
00:11:24,920 --> 00:11:27,880
a small team with a tight budget, as long as they have the right approach.

242
00:11:27,880 --> 00:11:31,560
Darrell Bock Their story is a fantastic reminder that

243
00:11:31,560 --> 00:11:36,240
we don't always need more to achieve great things.

244
00:11:36,240 --> 00:11:39,840
Sometimes it's about using what we already have in smarter ways.

245
00:11:39,840 --> 00:11:44,440
DeepSeek took their constraints, things like limited funding in a small team, and turned

246
00:11:44,440 --> 00:11:45,440
them into advantages.

247
00:11:45,440 --> 00:11:46,920
DeepSeek It's like that saying, necessity is the mother

248
00:11:46,920 --> 00:11:47,920
of invention.

249
00:11:47,920 --> 00:11:49,840
They had to be scrappy resourceful.

250
00:11:49,840 --> 00:11:52,120
And that forced them to be incredibly innovative.

251
00:11:52,120 --> 00:11:53,120
Darrell Bock Exactly.

252
00:11:53,120 --> 00:11:57,680
They couldn't just throw money at every problem, so they had to think creatively, prioritize

253
00:11:57,680 --> 00:12:02,680
ruthlessly, and really leverage those open source tools and collaborative networks.

254
00:12:02,680 --> 00:12:07,200
It's a lesson we can all apply, whether we're trying to launch a business, tackle a challenging

255
00:12:07,200 --> 00:12:10,400
project, or even just solve a problem in our daily lives.

256
00:12:10,400 --> 00:12:12,640
DeepSeek So how can we cultivate that DeepSeek

257
00:12:12,640 --> 00:12:17,040
mindset, that ability to turn constraints into fuel for innovation?

258
00:12:17,040 --> 00:12:20,240
Darrell Bock Start by really examining those limitations,

259
00:12:20,240 --> 00:12:22,360
instead of seeing them as roadblocks.

260
00:12:22,360 --> 00:12:26,040
Ask yourself, what opportunities might these constraints create?

261
00:12:26,040 --> 00:12:27,920
How can I use this limitation to my advantage?

262
00:12:27,920 --> 00:12:30,840
DeepSeek So it's almost like a mental shift, reframing

263
00:12:30,840 --> 00:12:31,840
the problem.

264
00:12:31,840 --> 00:12:35,520
Instead of, I don't have enough money, how can I achieve this with the resources I do

265
00:12:35,520 --> 00:12:36,520
have?

266
00:12:36,520 --> 00:12:37,520
Darrell Bock That's the spirit.

267
00:12:37,520 --> 00:12:39,840
It forces you to get creative, to be resourceful.

268
00:12:39,840 --> 00:12:43,320
And often that's where the most innovative solutions emerge.

269
00:12:43,320 --> 00:12:47,000
DeepSeek's story also highlights the importance of a culture of experimentation.

270
00:12:47,000 --> 00:12:53,880
They weren't afraid to try new things, fail quickly, and iterate based on what they learned.

271
00:12:53,880 --> 00:12:56,440
Darrell Bock It's that classic Silicon Valley mantra,

272
00:12:56,440 --> 00:12:58,160
fail fast fail often.

273
00:12:58,160 --> 00:12:59,400
But it's not just about failing.

274
00:12:59,400 --> 00:13:00,400
DeepSeek Right.

275
00:13:00,400 --> 00:13:03,360
It's about learning from those failures and adapting quickly.

276
00:13:03,360 --> 00:13:06,000
Darrell Bock Precisely in a field like AI, where things

277
00:13:06,000 --> 00:13:11,040
are constantly evolving, that ability to adapt and learn is crucial.

278
00:13:11,040 --> 00:13:13,440
And it's not just relevant to tech.

279
00:13:13,440 --> 00:13:17,800
Any field that's experiencing rapid change requires this kind of agility.

280
00:13:17,800 --> 00:13:21,400
DeepSeek So how can we build that kind of experimental

281
00:13:21,400 --> 00:13:26,080
learning focus culture, whether it's in our workplace, our team, or even just our personal

282
00:13:26,080 --> 00:13:27,080
lives?

283
00:13:27,080 --> 00:13:28,680
Darrell Bock It starts with psychological safety.

284
00:13:28,680 --> 00:13:33,280
People need to feel safe to experiment, to take risks, to put their ideas out there,

285
00:13:33,280 --> 00:13:36,720
without fear of judgment or punishment, if things don't work out perfectly.

286
00:13:36,720 --> 00:13:39,680
DeepSeek So creating an environment where it's okay

287
00:13:39,680 --> 00:13:41,840
to make mistakes, regardless of what we learn from them.

288
00:13:41,840 --> 00:13:43,680
Darrell Bock Exactly, and it's also about celebrating

289
00:13:43,680 --> 00:13:46,080
those small wins along the way.

290
00:13:46,080 --> 00:13:50,120
Recognize the progress being made no matter how incremental, and encourage constant feedback

291
00:13:50,120 --> 00:13:51,120
and iteration.

292
00:13:51,120 --> 00:13:53,720
It's a continuous process of learning and improvement.

293
00:13:53,720 --> 00:13:58,440
I think that's such a valuable takeaway, especially in today's world, where it's so

294
00:13:58,440 --> 00:14:02,320
easy to get caught up in this, constant striving for perfection.

295
00:14:02,320 --> 00:14:06,240
We need to remind ourselves that failure is part of the journey, and it's often where

296
00:14:06,240 --> 00:14:08,280
the most valuable lessons are learned.

297
00:14:08,280 --> 00:14:09,720
DeepSeek Couldn't agree more.

298
00:14:09,720 --> 00:14:13,400
And then of course, there's the power of open collaboration, something we've touched

299
00:14:13,400 --> 00:14:15,640
on throughout this deep dive.

300
00:14:15,640 --> 00:14:19,920
DeepSeek demonstrates that you don't have to go it alone, leveraging collective knowledge,

301
00:14:19,920 --> 00:14:25,040
whether through open source communities, partnerships, or just reaching out to experts in different

302
00:14:25,040 --> 00:14:26,880
fields, can be a game changer.

303
00:14:26,880 --> 00:14:28,800
Darrell Bock It's like that African proverb, if you want

304
00:14:28,800 --> 00:14:32,240
to go fast, go alone, if you want to go far, go together.

305
00:14:32,240 --> 00:14:33,240
Darrell Bock That's it.

306
00:14:33,240 --> 00:14:38,680
And in the context of AI, collaboration is even more crucial, not just for efficiency,

307
00:14:38,680 --> 00:14:40,560
but for ethical development as well.

308
00:14:40,560 --> 00:14:45,280
Having more eyes on the code, more diverse perspectives involved in the design process,

309
00:14:45,280 --> 00:14:49,680
helps to ensure that AI is developed responsibly, and benefits a wider range of people.

310
00:14:49,680 --> 00:14:51,720
Darrell Bock So DeepSeek's story is really a call to

311
00:14:51,720 --> 00:14:52,720
action, isn't it?

312
00:14:52,720 --> 00:14:57,800
It's not just about marveling at their achievements, it's about taking those lessons, and applying

313
00:14:57,800 --> 00:15:00,360
them to our home lives, our own work, our own ambitions.

314
00:15:00,360 --> 00:15:02,040
Darrell Bock I think that's a fantastic way to put

315
00:15:02,040 --> 00:15:03,040
it.

316
00:15:03,040 --> 00:15:07,960
DeepSeek has shown us that the future of AI, and really the future of innovation in general,

317
00:15:07,960 --> 00:15:09,360
is not predetermined.

318
00:15:09,360 --> 00:15:14,920
It's being shaped right now by individuals and teams who are willing to think differently

319
00:15:14,920 --> 00:15:19,720
to challenge assumptions, and to collaborate openly to create something truly impactful.

320
00:15:19,720 --> 00:15:22,360
Darrell Bock This has been a truly inspiring deep dive.

321
00:15:22,360 --> 00:15:27,080
It's given me a lot to think about, both in terms of how I approach my own work, and

322
00:15:27,080 --> 00:15:28,960
how I view the potential of AI in the world.

323
00:15:28,960 --> 00:15:30,520
DeepSeek It's been a pleasure exploring these ideas

324
00:15:30,520 --> 00:15:31,520
with you.

325
00:15:31,520 --> 00:15:33,480
Darrell Bock And to our listeners, we hope you've enjoyed

326
00:15:33,480 --> 00:15:34,480
this journey as well.

327
00:15:34,480 --> 00:15:38,960
We encourage you to learn more about DeepSeek, and more importantly, to consider how you

328
00:15:38,960 --> 00:15:42,000
can apply their principles of innovation and collaboration.

329
00:15:42,000 --> 00:15:43,000
Do your own endeavors.

330
00:15:43,000 --> 00:15:47,280
Remember, the future is not something that happens to us, it's something we create,

331
00:15:47,280 --> 00:15:49,800
collectively, through our choices and actions.

332
00:15:49,800 --> 00:15:54,320
So go out there, embrace those constraints, experiment fearlessly, collaborate openly,

333
00:15:54,320 --> 00:16:06,520
and let's build an amazing future together.

