1
00:00:00,000 --> 00:00:02,880
Welcome to the Daily AI News podcast.

2
00:00:02,880 --> 00:00:07,280
Today, we're gonna be taking a deep dive into AI news.

3
00:00:07,280 --> 00:00:08,120
Okay.

4
00:00:08,120 --> 00:00:09,400
Exploring some recent developments

5
00:00:09,400 --> 00:00:12,800
and just seeing how much AI is really impacting our world.

6
00:00:12,800 --> 00:00:13,640
Yeah.

7
00:00:13,640 --> 00:00:18,320
We've got legal dramas, artistic protests, corporate intrigue.

8
00:00:18,320 --> 00:00:19,160
Oh, wow.

9
00:00:19,160 --> 00:00:21,440
And we've got news articles, company announcements,

10
00:00:21,440 --> 00:00:23,880
expert commentary, the whole shebang.

11
00:00:23,880 --> 00:00:24,720
Cool.

12
00:00:24,720 --> 00:00:25,560
You ready to get into it?

13
00:00:25,560 --> 00:00:29,080
Yeah, I think what I find really fascinating

14
00:00:29,080 --> 00:00:30,840
about all these sources that we have

15
00:00:30,840 --> 00:00:34,480
is how they highlight just how multifaceted

16
00:00:34,480 --> 00:00:36,400
this whole AI evolution is becoming.

17
00:00:36,400 --> 00:00:38,480
It's not just about the tech anymore.

18
00:00:38,480 --> 00:00:40,280
It's also about how it's impacting

19
00:00:40,280 --> 00:00:41,800
all these different sectors

20
00:00:41,800 --> 00:00:44,280
and the ethical and economic questions that are coming up.

21
00:00:44,280 --> 00:00:46,840
Yeah, it's really interesting to see it all play out.

22
00:00:46,840 --> 00:00:48,080
Where should we start?

23
00:00:48,080 --> 00:00:49,320
Let's start with open AI.

24
00:00:49,320 --> 00:00:50,160
Okay.

25
00:00:50,160 --> 00:00:51,640
They've been making a lot of headlines lately.

26
00:00:51,640 --> 00:00:52,480
Yeah, they have.

27
00:00:52,480 --> 00:00:55,520
Both with Sora, their text to video AI model,

28
00:00:55,520 --> 00:00:58,840
and also just some interesting financial moves.

29
00:00:58,840 --> 00:00:59,680
Right, yeah.

30
00:00:59,680 --> 00:01:03,120
So they've decided to let employees cash out

31
00:01:03,120 --> 00:01:07,840
some of their shares, up to $1.5 billion worth.

32
00:01:07,840 --> 00:01:09,440
And guess who's buying?

33
00:01:09,440 --> 00:01:10,480
SoftBank.

34
00:01:10,480 --> 00:01:11,320
Oh, wow.

35
00:01:11,320 --> 00:01:13,400
Which, you know, they already pumped $500 million

36
00:01:13,400 --> 00:01:15,720
into open AI during a recent funding round.

37
00:01:15,720 --> 00:01:16,560
Right.

38
00:01:16,560 --> 00:01:19,440
But apparently their CEO wanted a bigger piece of the pie.

39
00:01:19,440 --> 00:01:21,320
So that's really interesting.

40
00:01:21,320 --> 00:01:26,240
Could having a larger stake influence open AI's direction?

41
00:01:26,240 --> 00:01:27,080
Potentially, yeah.

42
00:01:27,080 --> 00:01:28,400
Like their research priorities?

43
00:01:28,400 --> 00:01:30,400
Yeah, I mean, while financial investment

44
00:01:30,400 --> 00:01:32,880
doesn't always mean like direct control,

45
00:01:32,880 --> 00:01:37,240
I think a larger stake could give SoftBank more leverage

46
00:01:37,240 --> 00:01:38,280
in decision making.

47
00:01:38,280 --> 00:01:39,120
For sure.

48
00:01:39,120 --> 00:01:41,280
So yeah, I think it definitely raises some questions

49
00:01:41,280 --> 00:01:44,800
about how open AI is going to navigate its future development

50
00:01:44,800 --> 00:01:46,240
and whether they can stay committed

51
00:01:46,240 --> 00:01:48,360
to their stated mission, you know,

52
00:01:48,360 --> 00:01:50,800
given these commercial interests that are coming into play.

53
00:01:50,800 --> 00:01:51,880
Yeah, absolutely.

54
00:01:51,880 --> 00:01:53,200
And speaking of open AI,

55
00:01:53,200 --> 00:01:54,040
Yes.

56
00:01:54,040 --> 00:01:55,720
Sora, remember Sora?

57
00:01:55,720 --> 00:01:56,560
Yeah.

58
00:01:56,560 --> 00:01:57,880
The text to video model.

59
00:01:57,880 --> 00:01:59,640
Well, there's a group of artists now

60
00:01:59,640 --> 00:02:02,520
that are claiming that they leaked access to it.

61
00:02:02,520 --> 00:02:03,360
Really?

62
00:02:03,360 --> 00:02:04,200
Yeah.

63
00:02:04,200 --> 00:02:05,040
Interesting.

64
00:02:05,040 --> 00:02:05,880
With a form of protest.

65
00:02:05,880 --> 00:02:06,720
Oh, wow.

66
00:02:06,720 --> 00:02:07,720
So what's their beef?

67
00:02:08,840 --> 00:02:10,720
It seems like they're arguing that open AI

68
00:02:10,720 --> 00:02:14,000
is basically using them for free research and development

69
00:02:14,000 --> 00:02:15,440
through Sora,

70
00:02:15,440 --> 00:02:18,720
that they're not being compensated fairly for their work.

71
00:02:18,720 --> 00:02:19,560
Interesting.

72
00:02:19,560 --> 00:02:22,680
And that open AI is engaging in this art washing thing.

73
00:02:22,680 --> 00:02:23,680
Art washing, yeah.

74
00:02:23,680 --> 00:02:26,960
Which is basically using the credibility of artists

75
00:02:26,960 --> 00:02:28,720
to make their products seem more legit.

76
00:02:28,720 --> 00:02:29,680
Yeah, makes sense.

77
00:02:29,680 --> 00:02:30,680
And you know what else?

78
00:02:30,680 --> 00:02:32,720
Apparently the leaked version of Sora

79
00:02:32,720 --> 00:02:35,520
had a functional interface for creating videos.

80
00:02:35,520 --> 00:02:36,360
Wow.

81
00:02:36,360 --> 00:02:38,360
But open AI shut it down pretty quickly.

82
00:02:38,360 --> 00:02:39,760
Oh, really?

83
00:02:39,760 --> 00:02:41,160
And they're also requiring artists

84
00:02:41,160 --> 00:02:44,560
to get every single output approved before they can share it.

85
00:02:44,560 --> 00:02:45,920
Oh, wow.

86
00:02:45,920 --> 00:02:47,400
That's a lot of control, isn't it?

87
00:02:47,400 --> 00:02:48,240
Yeah.

88
00:02:48,240 --> 00:02:49,400
Makes you wonder, you know,

89
00:02:49,400 --> 00:02:51,920
is it really about responsible use?

90
00:02:51,920 --> 00:02:53,800
Or is it more about open AI protecting

91
00:02:53,800 --> 00:02:55,520
their intellectual property?

92
00:02:55,520 --> 00:02:58,880
Or maintaining a very carefully curated image?

93
00:02:58,880 --> 00:03:00,720
Yeah, it's definitely interesting.

94
00:03:00,720 --> 00:03:03,280
Yeah, it definitely adds a new layer, I think,

95
00:03:03,280 --> 00:03:06,960
to the debate that's going on about artist compensation

96
00:03:06,960 --> 00:03:08,920
and the influence of these big tech companies

97
00:03:08,920 --> 00:03:10,720
on the creative process.

98
00:03:12,480 --> 00:03:16,200
Shifting focus now to how big tech

99
00:03:16,200 --> 00:03:18,720
is using data to train AI.

100
00:03:18,720 --> 00:03:19,560
Okay.

101
00:03:19,560 --> 00:03:21,880
And Australian Inquiry recently concluded

102
00:03:21,880 --> 00:03:23,520
that Amazon, Google, and Meta

103
00:03:23,520 --> 00:03:25,840
are basically pillaging data for this.

104
00:03:25,840 --> 00:03:27,720
Yeah, they weren't exactly transparent

105
00:03:27,720 --> 00:03:29,520
about how they were doing it either, were they?

106
00:03:29,520 --> 00:03:31,360
No, not really.

107
00:03:31,360 --> 00:03:34,400
The report highlights that they dodged a lot of questions

108
00:03:34,400 --> 00:03:36,600
about their data collection and usage,

109
00:03:36,600 --> 00:03:38,240
especially when it came to AI development.

110
00:03:38,240 --> 00:03:39,080
Yeah.

111
00:03:39,080 --> 00:03:40,400
Which is, I think, a little bit worrying

112
00:03:40,400 --> 00:03:42,560
considering the massive amounts of personal data

113
00:03:42,560 --> 00:03:43,400
that they hold.

114
00:03:43,400 --> 00:03:44,240
Oh, for sure.

115
00:03:44,240 --> 00:03:46,680
I mean, if they're using our data to train AI,

116
00:03:46,680 --> 00:03:48,960
shouldn't we at least have a clear understanding

117
00:03:48,960 --> 00:03:50,000
of how it's being used?

118
00:03:50,000 --> 00:03:50,840
Yeah, for sure.

119
00:03:50,840 --> 00:03:52,240
And it's funny, because then you have Microsoft

120
00:03:52,240 --> 00:03:55,600
claiming that they aren't using data from Office apps

121
00:03:55,600 --> 00:03:58,160
to train their AI, but then you have platforms

122
00:03:58,160 --> 00:04:00,000
like BlueSky with their open API.

123
00:04:00,000 --> 00:04:00,840
Right.

124
00:04:00,840 --> 00:04:02,720
Which basically means anyone can scrape

125
00:04:02,720 --> 00:04:04,760
public posts for AI training.

126
00:04:04,760 --> 00:04:07,000
So it seems like there's a little bit of a discrepancy there.

127
00:04:07,000 --> 00:04:07,840
There is.

128
00:04:07,840 --> 00:04:11,040
I mean, it just highlights this tension

129
00:04:11,040 --> 00:04:13,200
that's growing around user privacy

130
00:04:13,200 --> 00:04:16,600
and how much control we have over our own data

131
00:04:16,600 --> 00:04:17,800
in the age of AI.

132
00:04:17,800 --> 00:04:18,640
Absolutely.

133
00:04:18,640 --> 00:04:19,960
It's like, what are the boundaries here?

134
00:04:19,960 --> 00:04:20,800
You know?

135
00:04:20,800 --> 00:04:21,640
Yeah.

136
00:04:21,640 --> 00:04:25,520
And do we as users even have a say

137
00:04:25,520 --> 00:04:27,360
in how our data is being used,

138
00:04:27,360 --> 00:04:28,720
especially when it's for something

139
00:04:28,720 --> 00:04:31,960
as potentially impactful as AI?

140
00:04:31,960 --> 00:04:33,840
All right, so we've got corporate maneuvering,

141
00:04:33,840 --> 00:04:37,400
artistic protests, big tech under fire.

142
00:04:37,400 --> 00:04:39,120
Seems like there's never a dull moment, huh?

143
00:04:39,120 --> 00:04:40,160
No, not at all.

144
00:04:40,160 --> 00:04:41,440
Not in the AI world anyway.

145
00:04:41,440 --> 00:04:45,120
Let's talk about how AI is impacting creative industries.

146
00:04:45,120 --> 00:04:45,960
Sounds good.

147
00:04:45,960 --> 00:04:47,320
That's where it gets really interesting, I think.

148
00:04:47,320 --> 00:04:48,160
I think it too.

149
00:04:48,160 --> 00:04:49,000
And I think you're gonna have some thoughts

150
00:04:49,000 --> 00:04:49,840
about this next one.

151
00:04:49,840 --> 00:04:50,680
Okay.

152
00:04:50,680 --> 00:04:51,960
It's called Spines.

153
00:04:51,960 --> 00:04:54,600
And they wanna publish 8,000 books next year.

154
00:04:54,600 --> 00:04:55,680
8,000?

155
00:04:55,680 --> 00:04:56,680
Using AI.

156
00:04:56,680 --> 00:04:58,480
Wow, that's ambitious.

157
00:04:58,480 --> 00:05:00,720
They're charging authors thousands of dollars

158
00:05:00,720 --> 00:05:04,280
for this service, which includes AI-assisted editing,

159
00:05:04,280 --> 00:05:06,160
formatting, and distribution.

160
00:05:06,160 --> 00:05:07,720
Authors get to keep all the royalties,

161
00:05:07,720 --> 00:05:10,520
but the whole thing is raising some eyebrows.

162
00:05:10,520 --> 00:05:12,600
Is this the future of publishing

163
00:05:12,600 --> 00:05:15,720
or is it a complete disaster waiting to happen?

164
00:05:15,720 --> 00:05:18,240
It's certainly a bold move.

165
00:05:18,240 --> 00:05:22,440
It speaks, I think, to this growing influence

166
00:05:22,440 --> 00:05:24,960
that AI is having in creative fields.

167
00:05:24,960 --> 00:05:26,680
I mean, we've already seen AI being used

168
00:05:26,680 --> 00:05:31,000
to generate content, write music, even create art.

169
00:05:31,000 --> 00:05:34,120
But this, this is taking it to a whole other level.

170
00:05:34,120 --> 00:05:35,960
I mean, using it to mass produce books

171
00:05:35,960 --> 00:05:37,160
on this kind of scale.

172
00:05:37,160 --> 00:05:39,240
Like, what does that even mean for quality?

173
00:05:39,240 --> 00:05:40,080
Exactly.

174
00:05:40,080 --> 00:05:42,320
What about human creativity?

175
00:05:42,320 --> 00:05:44,800
Will this benefit the literary world

176
00:05:44,800 --> 00:05:46,840
or is it gonna harm it in the long run?

177
00:05:46,840 --> 00:05:48,760
Yeah, it's almost like a factory-style approach

178
00:05:48,760 --> 00:05:50,000
to book publishing, isn't it?

179
00:05:50,000 --> 00:05:52,240
Yeah, there's definitely a sense of that.

180
00:05:52,240 --> 00:05:54,600
And, you know, it's understandable in a way

181
00:05:54,600 --> 00:05:56,840
because there's this pressure on authors

182
00:05:56,840 --> 00:06:00,400
to constantly produce more content faster.

183
00:06:00,400 --> 00:06:02,640
But I think it's so important that we step back

184
00:06:02,640 --> 00:06:04,600
and think about the consequences.

185
00:06:04,600 --> 00:06:08,680
You know, will this lead to a ton of mediocre content?

186
00:06:08,680 --> 00:06:11,960
Will it devalue the work of actual human authors

187
00:06:11,960 --> 00:06:13,000
and editors?

188
00:06:13,000 --> 00:06:14,960
These are big questions that we need to figure out.

189
00:06:14,960 --> 00:06:15,840
Right, right.

190
00:06:15,840 --> 00:06:17,440
And it's, I mean, remember the whole thing

191
00:06:17,440 --> 00:06:19,160
with Harper Collins and Microsoft?

192
00:06:19,160 --> 00:06:20,000
Oh, yeah.

193
00:06:20,000 --> 00:06:23,800
They allowed some of their titles to be used to train AI.

194
00:06:23,800 --> 00:06:24,640
Right.

195
00:06:24,640 --> 00:06:26,600
This almost seems like it's taking that a step further,

196
00:06:26,600 --> 00:06:27,440
doesn't it?

197
00:06:27,440 --> 00:06:30,040
It does, and it really highlights this key issue

198
00:06:30,040 --> 00:06:32,760
that's at the heart of a lot of those conversations

199
00:06:32,760 --> 00:06:34,480
we're having about AI and creative work,

200
00:06:34,480 --> 00:06:37,360
which is ownership and control.

201
00:06:37,360 --> 00:06:41,320
Who owns the rights to AI-generated content?

202
00:06:41,320 --> 00:06:44,840
How should authors be compensated when their work is used?

203
00:06:44,840 --> 00:06:45,680
Right, right.

204
00:06:45,680 --> 00:06:47,520
These are big, complex questions,

205
00:06:47,520 --> 00:06:49,320
and we're really just starting to think about them.

206
00:06:49,320 --> 00:06:50,240
Absolutely.

207
00:06:50,240 --> 00:06:52,120
And this brings us to another area

208
00:06:52,120 --> 00:06:54,320
where AI is making a big impact,

209
00:06:54,320 --> 00:06:55,760
and that's the legal system.

210
00:06:55,760 --> 00:06:57,120
Oh, yeah.

211
00:06:57,120 --> 00:06:59,320
It seems like the law is constantly playing catch up,

212
00:06:59,320 --> 00:07:00,160
you know?

213
00:07:00,160 --> 00:07:02,360
Trying to figure out how to deal with all these advancements.

214
00:07:02,360 --> 00:07:05,320
And sometimes the results are,

215
00:07:05,320 --> 00:07:07,360
well, let's just say they kind of highlight

216
00:07:07,360 --> 00:07:09,520
the need for some clearer guidelines.

217
00:07:09,520 --> 00:07:10,720
Yeah.

218
00:07:10,720 --> 00:07:12,760
Yeah, we've seen some interesting cases

219
00:07:12,760 --> 00:07:14,880
that really drive this point home.

220
00:07:14,880 --> 00:07:15,640
Oh, yeah.

221
00:07:15,640 --> 00:07:17,720
Like, for example, remember that lawyer in Texas

222
00:07:17,720 --> 00:07:21,760
who got fined for submitting court filings with fake citations?

223
00:07:21,760 --> 00:07:22,320
From AI.

224
00:07:22,320 --> 00:07:23,960
That were generated by AI?

225
00:07:23,960 --> 00:07:24,720
It was wild.

226
00:07:24,720 --> 00:07:26,480
He said that he didn't know they were fake.

227
00:07:26,480 --> 00:07:27,320
Right.

228
00:07:27,320 --> 00:07:28,880
But it doesn't really matter, does it?

229
00:07:28,880 --> 00:07:29,200
No.

230
00:07:29,200 --> 00:07:30,560
He's still gotten trouble.

231
00:07:30,560 --> 00:07:33,320
Yeah, and the FTC is also getting involved.

232
00:07:33,320 --> 00:07:34,880
They're cracking down on companies

233
00:07:34,880 --> 00:07:39,080
that make misleading claims about their AI-powered products.

234
00:07:39,080 --> 00:07:40,720
Like, remember Evolve Technologies?

235
00:07:40,720 --> 00:07:41,440
Oh, yeah.

236
00:07:41,440 --> 00:07:42,480
The security scanners?

237
00:07:42,480 --> 00:07:44,440
They claim that their AI-powered scanners

238
00:07:44,440 --> 00:07:46,040
could detect all weapons.

239
00:07:46,040 --> 00:07:47,000
Right, right.

240
00:07:47,000 --> 00:07:48,200
But there's a bit of a problem.

241
00:07:48,200 --> 00:07:48,840
Oh, yeah.

242
00:07:48,840 --> 00:07:49,800
There's a big problem.

243
00:07:49,800 --> 00:07:53,760
Turns out that their scanners missed a knife that

244
00:07:53,760 --> 00:07:56,080
was used in a school-stabbing incident.

245
00:07:56,080 --> 00:07:57,200
That's awful.

246
00:07:57,200 --> 00:07:57,480
Yeah.

247
00:07:57,480 --> 00:07:59,240
So the FTC is making it very clear

248
00:07:59,240 --> 00:08:02,480
that they're not going to tolerate these misleading claims.

249
00:08:02,480 --> 00:08:03,640
Rightfully so.

250
00:08:03,640 --> 00:08:05,360
Especially when public safety is on the line.

251
00:08:05,360 --> 00:08:05,920
Right.

252
00:08:05,920 --> 00:08:09,160
And it just seems like with AI, we

253
00:08:09,160 --> 00:08:13,080
have to really reconsider our assumptions

254
00:08:13,080 --> 00:08:16,320
about security, trust, and accountability.

255
00:08:16,320 --> 00:08:17,080
Absolutely.

256
00:08:17,080 --> 00:08:20,080
I think that's where transparency and ethics become so important.

257
00:08:20,080 --> 00:08:23,320
As we're integrating AI more and more into our lives,

258
00:08:23,320 --> 00:08:24,760
we need to be sure that it's being

259
00:08:24,760 --> 00:08:26,520
developed and deployed responsibly.

260
00:08:26,520 --> 00:08:27,960
Speeding your responsible development,

261
00:08:27,960 --> 00:08:31,600
there's been some really interesting news in open source AI.

262
00:08:31,600 --> 00:08:31,880
Yeah.

263
00:08:31,880 --> 00:08:33,760
Have you heard about Olmo 2?

264
00:08:33,760 --> 00:08:34,720
I have.

265
00:08:34,720 --> 00:08:36,000
I'm really fascinated by this.

266
00:08:36,000 --> 00:08:36,500
Yeah.

267
00:08:36,500 --> 00:08:39,280
It's this new family of open source language models

268
00:08:39,280 --> 00:08:41,480
that's being developed by AI too.

269
00:08:41,480 --> 00:08:43,680
And the thing is, they're claiming that it's as good

270
00:08:43,680 --> 00:08:45,360
as Meta's Lama model.

271
00:08:45,360 --> 00:08:47,720
So I mean, what does that mean for the AI landscape?

272
00:08:47,720 --> 00:08:49,960
What's so special about it being open source?

273
00:08:49,960 --> 00:08:51,840
Well, the fact that it's fully open source

274
00:08:51,840 --> 00:08:54,360
means that everything, like the tools and data used

275
00:08:54,360 --> 00:08:55,960
to develop it, is public.

276
00:08:55,960 --> 00:08:57,280
Anybody can access it.

277
00:08:57,280 --> 00:08:57,640
Wow.

278
00:08:57,640 --> 00:08:59,680
Which is a big deal, because it just makes everything

279
00:08:59,680 --> 00:09:00,680
more transparent.

280
00:09:00,680 --> 00:09:01,200
Yeah.

281
00:09:01,200 --> 00:09:04,480
It encourages collaboration in research.

282
00:09:04,480 --> 00:09:07,840
Anybody can examine the code, the data.

283
00:09:07,840 --> 00:09:08,480
Wow.

284
00:09:08,480 --> 00:09:12,160
And it allows for a lot more scrutiny and accountability,

285
00:09:12,160 --> 00:09:13,640
which I think is really important.

286
00:09:13,640 --> 00:09:15,920
So it's kind of like opening up that black box of AI

287
00:09:15,920 --> 00:09:18,160
development and letting everybody peek inside.

288
00:09:18,160 --> 00:09:18,920
Exactly.

289
00:09:18,920 --> 00:09:22,280
And I think that that kind of openness is so crucial.

290
00:09:22,280 --> 00:09:22,760
Yeah.

291
00:09:22,760 --> 00:09:25,120
If we want to build trust and make sure

292
00:09:25,120 --> 00:09:28,600
that AI is developed in a way that actually benefits everyone.

293
00:09:28,600 --> 00:09:28,800
Right.

294
00:09:28,800 --> 00:09:30,120
Not just to select few.

295
00:09:30,120 --> 00:09:30,920
Exactly.

296
00:09:30,920 --> 00:09:33,040
And this whole open source thing,

297
00:09:33,040 --> 00:09:37,120
it seems like a positive step toward a more ethical and

298
00:09:37,120 --> 00:09:38,280
collaborative AI.

299
00:09:38,280 --> 00:09:40,080
Because that's what we're doing.

300
00:09:40,080 --> 00:09:41,960
It's trying to get to the ecosystem.

301
00:09:41,960 --> 00:09:42,560
Right.

302
00:09:42,560 --> 00:09:44,560
But before we go too far down that road,

303
00:09:44,560 --> 00:09:46,560
I want to go back to something you mentioned earlier.

304
00:09:46,560 --> 00:09:47,000
Right.

305
00:09:47,000 --> 00:09:48,320
The Harper Collins deal with Microsoft.

306
00:09:48,320 --> 00:09:49,040
Oh, yeah, yeah.

307
00:09:49,040 --> 00:09:51,320
Can you just remind us what that was all about?

308
00:09:51,320 --> 00:09:51,820
Yeah.

309
00:09:51,820 --> 00:09:53,280
So earlier this month, it came out

310
00:09:53,280 --> 00:09:55,600
that Harper Collins made this agreement with Microsoft.

311
00:09:55,600 --> 00:09:56,080
OK.

312
00:09:56,080 --> 00:09:58,560
And it allowed them to use some of their book titles

313
00:09:58,560 --> 00:09:59,960
to train their AI models.

314
00:09:59,960 --> 00:10:00,720
Right.

315
00:10:00,720 --> 00:10:01,400
Right.

316
00:10:01,400 --> 00:10:03,120
But the key thing here is that they're

317
00:10:03,120 --> 00:10:04,720
requiring permission from the authors.

318
00:10:04,720 --> 00:10:05,320
Oh, yeah.

319
00:10:05,320 --> 00:10:06,760
Before their work can be used.

320
00:10:06,760 --> 00:10:10,860
sourcing happening. Yeah, there is. But it still brings up all those questions, right?

321
00:10:10,860 --> 00:10:15,060
About copyright and ownership and how should authors be compensated?

322
00:10:15,060 --> 00:10:18,260
Well, absolutely. I mean, it's not just authors who are wrestling with this. Yeah.

323
00:10:18,260 --> 00:10:22,620
We're seeing musicians, artists, journalists, all raising concerns about

324
00:10:22,620 --> 00:10:28,100
their work being used without their consent or, you know, without being paid for it.

325
00:10:28,100 --> 00:10:33,940
It's clear that the legal and ethical frameworks surrounding AI, they're still

326
00:10:33,940 --> 00:10:38,300
very much in development. Oh, for sure. And as this technology keeps evolving,

327
00:10:38,300 --> 00:10:42,620
yeah, we really have to rethink how we approach these issues. One of the things

328
00:10:42,620 --> 00:10:46,260
that I find fascinating about this whole thing is the tension that exists between

329
00:10:46,260 --> 00:10:51,780
the potential of AI and the very real risks. Right. I mean, on one hand, you've

330
00:10:51,780 --> 00:10:56,580
got the potential to revolutionize entire industries, you know, to make our

331
00:10:56,580 --> 00:11:00,260
lives better, to solve some of the world's biggest problems. But on the other

332
00:11:00,260 --> 00:11:06,020
hand, you also have these serious concerns about bias and privacy and, you

333
00:11:06,020 --> 00:11:11,960
know, jobs being displaced. And I mean, even AI being used for like malicious

334
00:11:11,960 --> 00:11:15,940
purposes, right? We're already seeing those play out. So where do we go from

335
00:11:15,940 --> 00:11:19,660
here? Right. How do we navigate this, this whole landscape? Yeah. And ensure that

336
00:11:19,660 --> 00:11:23,300
it's being used for good. That's the million dollar question, isn't it? Yeah. I

337
00:11:23,300 --> 00:11:26,660
think it's going to require a lot of different things, you know. We need to

338
00:11:26,660 --> 00:11:32,260
invest in some strong ethical guidelines. Right. We need clear legal frameworks.

339
00:11:32,260 --> 00:11:37,500
Yeah. And we need to be promoting transparency and accountability for sure

340
00:11:37,500 --> 00:11:42,140
how AI is developed. And maybe this push towards open source AI, like we saw

341
00:11:42,140 --> 00:11:46,660
with Olmo 2, is a step in the right direction. I think it could be. I mean,

342
00:11:46,660 --> 00:11:51,380
open source AI has the potential to make this technology more accessible, you

343
00:11:51,380 --> 00:11:55,340
know, for everybody, not just a few. Right. It could foster more collaboration,

344
00:11:55,340 --> 00:11:58,940
more innovation. For sure. But it also comes with its own challenges, right? We

345
00:11:58,940 --> 00:12:03,580
need to make sure that these open source AI models are being developed and used

346
00:12:03,580 --> 00:12:08,740
responsibly. Right. That we have safeguards. Yeah. To prevent misuse. It feels like

347
00:12:08,740 --> 00:12:13,260
we're constantly playing catch up. I know. You know, AI is advancing so quickly. It

348
00:12:13,260 --> 00:12:17,660
really is. And are we really understanding the implications? Yeah, I agree. And this

349
00:12:17,660 --> 00:12:20,780
is why I think it's so important for everybody to be part of this conversation.

350
00:12:20,780 --> 00:12:24,100
Yeah. This isn't just something that's happening in some labs somewhere. Right.

351
00:12:24,100 --> 00:12:30,820
It's impacting all of us in huge ways. Okay. So let's talk about what that

352
00:12:30,820 --> 00:12:34,780
future might look like. Yeah. I mean, we've covered a lot of ground here today.

353
00:12:34,780 --> 00:12:41,180
Yeah, we have. From the financial world to artistic pushback to legal battles,

354
00:12:41,180 --> 00:12:47,580
the rise of open source, AI is everywhere. It really is. And I think one of the key

355
00:12:47,580 --> 00:12:52,500
takeaways here is that AI is not some future concept anymore. Right. It's here,

356
00:12:52,500 --> 00:12:55,860
it's happening now. Yeah. And it's impacting everything from how we create

357
00:12:55,860 --> 00:13:01,620
art to how our laws are enforced. So as AI becomes even more integrated into our

358
00:13:01,620 --> 00:13:06,500
lives, what should we be paying attention to? Right. What are the big questions?

359
00:13:06,500 --> 00:13:11,740
The big questions. Yeah. I think one of the most urgent questions is how do we

360
00:13:11,740 --> 00:13:16,420
balance the potential benefits with the risks? How do we make sure that it's

361
00:13:16,420 --> 00:13:20,820
empowering people and not exploiting them? That's a big one. Yeah. And there's no

362
00:13:20,820 --> 00:13:24,460
easy answer. No, no, definitely not. It's going to require a lot of ongoing

363
00:13:24,460 --> 00:13:29,780
dialogue, thoughtful regulation, and a real commitment to ethical development.

364
00:13:29,780 --> 00:13:35,100
Yeah. We need to be asking ourselves tough questions about data privacy, bias,

365
00:13:35,100 --> 00:13:40,140
and algorithms, the potential for people to lose their jobs. We have to think

366
00:13:40,140 --> 00:13:43,660
about all of that. And we need to make sure those questions are being asked by a

367
00:13:43,660 --> 00:13:48,420
lot of different people. Yes, absolutely. We need perspectives from artists,

368
00:13:48,420 --> 00:13:53,740
ethicists, social scientists, policymakers, everyday people, people who are

369
00:13:53,740 --> 00:13:56,940
going to be impacted. I think this whole conversation just highlights how

370
00:13:56,940 --> 00:14:00,780
important it is to stay informed about this stuff. Yeah. Because it's moving so

371
00:14:00,780 --> 00:14:04,860
fast. It is. And having such a huge impact on the world. Yeah. We can't just sit back

372
00:14:04,860 --> 00:14:08,460
and watch it happen. We can't. And I think it's important to remember that AI

373
00:14:08,460 --> 00:14:14,260
isn't this one big scary thing. Right. It's a collection of tools, techniques

374
00:14:14,260 --> 00:14:19,380
that can be used in all sorts of ways, good and bad. The future of AI really

375
00:14:19,380 --> 00:14:22,740
depends on the choices that we're making right now. So for our listeners out there,

376
00:14:22,740 --> 00:14:27,660
what can they do to be a part of shaping that future? Well, I think the most

377
00:14:27,660 --> 00:14:33,540
important thing is to stay curious. Yeah. Stay informed. Yes. Stay engaged. You know,

378
00:14:33,540 --> 00:14:38,620
ask questions, challenge assumptions, don't be afraid to speak up. Yeah. It's

379
00:14:38,620 --> 00:14:43,140
about being a participant. Yes. Not just a consumer. Exactly. The future of AI

380
00:14:43,140 --> 00:14:47,300
isn't set in stone. Right. It's something we're creating together. It feels like

381
00:14:47,300 --> 00:14:51,220
we've just scratched the surface. I know, right? We could talk about the stuff for

382
00:14:51,220 --> 00:14:56,580
hours and still only, like, barely cover it. Yeah. But for our...

383
00:14:56,580 --> 00:15:02,860
Maybe a little overwhelmed by all of this. What's the one thing you want them to

384
00:15:02,860 --> 00:15:08,100
take away? Just remember that AI is a tool. It's a really powerful tool, but it's

385
00:15:08,100 --> 00:15:12,940
still just a tool. Yeah. And like any tool, it can be used for good or bad. Right. It

386
00:15:12,940 --> 00:15:16,540
really all comes down to, like, who's using it and what their intention is.

387
00:15:16,540 --> 00:15:21,820
It's not about being afraid of AI or rejecting. No. No, no, no, no. It's about

388
00:15:21,820 --> 00:15:25,300
understanding it. Yeah. Both the good and the bad. Absolutely. And then figuring out

389
00:15:25,300 --> 00:15:31,940
how to, like, integrate it responsibly. Exactly. AI is not this, like, predetermined

390
00:15:31,940 --> 00:15:36,700
force that's going to control our future. Right. We have a say in this. Yeah. We can

391
00:15:36,700 --> 00:15:41,660
shape how it develops. And we can make sure that it's actually used to make the

392
00:15:41,660 --> 00:15:45,900
world a better place. Well, on that note, thanks for joining us for this deep dive

393
00:15:45,900 --> 00:15:49,860
into the world of AI. I hope you found it informative. Yeah. Maybe a little thought

394
00:15:49,860 --> 00:15:52,540
provoking. It's been great. Yeah. Yeah. And remember,

395
00:15:52,540 --> 00:15:58,220
Securious, stay engaged. Yeah. Stay informed. The future of AI really does depend on all

396
00:15:58,220 --> 00:16:15,020
of us. It does. Thanks for listening to the Daily AI News Podcast and stay tuned for more.

