1
00:00:00,000 --> 00:00:02,520
AI. It seems like it's everywhere, right?

2
00:00:02,920 --> 00:00:05,960
And it is. But today we're not going to just talk about the hype.

3
00:00:06,000 --> 00:00:09,440
We're going to look at the real changes AI is driving.

4
00:00:09,760 --> 00:00:11,880
Absolutely. Some you might not even expect.

5
00:00:11,960 --> 00:00:13,720
Yeah. Some really interesting stuff.

6
00:00:13,760 --> 00:00:16,200
So let's dive into this deep dive. Let's do it.

7
00:00:16,200 --> 00:00:19,800
OK. From tools that help us think and code all the way to the vineyards,

8
00:00:19,800 --> 00:00:22,160
where some of us like to, you know, that's right.

9
00:00:22,160 --> 00:00:24,480
Get our drink on. Cheers to that.

10
00:00:24,480 --> 00:00:26,520
AI is really popping up everywhere.

11
00:00:26,520 --> 00:00:29,880
And it's not just about the robots and self-driving cars.

12
00:00:29,880 --> 00:00:31,120
We hear about all the time.

13
00:00:31,120 --> 00:00:35,480
No, it's really transforming industries in ways most people wouldn't even imagine.

14
00:00:35,520 --> 00:00:38,800
OK, so to kick things off, let's talk about a pretty cool tool.

15
00:00:38,800 --> 00:00:41,520
And this is for all you writers and coders out there.

16
00:00:41,760 --> 00:00:43,560
Open AIs Canvas. Have you heard about this?

17
00:00:43,560 --> 00:00:47,200
I have. It's like having a super powered editor built right into your writing app.

18
00:00:47,200 --> 00:00:48,680
Yeah, it's really impressive.

19
00:00:48,680 --> 00:00:52,440
Think about it. Real time feedback on your writing,

20
00:00:52,840 --> 00:00:55,400
adjusting text length for different audiences.

21
00:00:55,400 --> 00:00:57,800
Oh, that's helpful. And even coding assistants.

22
00:00:57,800 --> 00:01:00,440
Yeah, especially for people like me who don't know how to code.

23
00:01:00,440 --> 00:01:01,880
Right. It's a game changer.

24
00:01:01,880 --> 00:01:05,400
It can translate between languages like JavaScript and Python. Exactly.

25
00:01:05,520 --> 00:01:07,240
And that's just scratching the surface.

26
00:01:07,240 --> 00:01:10,720
So it really does highlight how AI can be used to make us,

27
00:01:11,120 --> 00:01:13,960
you know, more efficient, better, faster.

28
00:01:13,960 --> 00:01:16,360
Absolutely. It's about augmenting human capabilities.

29
00:01:16,440 --> 00:01:18,160
Not replacing. Not replacing us. Exactly.

30
00:01:18,160 --> 00:01:20,360
OK, but speaking of Open AI,

31
00:01:20,360 --> 00:01:22,880
they just got a pretty hefty chunk of change.

32
00:01:23,000 --> 00:01:26,480
Six point six billion dollars in funding. That's a lot of zeros.

33
00:01:26,480 --> 00:01:28,120
Yeah. What are they going to do with all that?

34
00:01:28,120 --> 00:01:29,320
I mean, it's great for them.

35
00:01:29,320 --> 00:01:34,680
But, you know, could this kind of dominance stifle innovation in the AI field?

36
00:01:35,080 --> 00:01:39,000
Because one of the stipulations was that these investors are not allowed

37
00:01:39,000 --> 00:01:41,080
to invest in any of their competitors. That's right.

38
00:01:41,080 --> 00:01:43,200
And it's a double edged sword.

39
00:01:43,200 --> 00:01:46,720
On the one hand, you have this massive influx of resources

40
00:01:46,720 --> 00:01:49,560
that could lead to some groundbreaking advancements. Right.

41
00:01:49,720 --> 00:01:52,800
But on the other hand, if you don't have that diversity of thought,

42
00:01:52,800 --> 00:01:54,840
that competition. Yeah.

43
00:01:54,840 --> 00:01:57,840
It could potentially slow down progress in the long run.

44
00:01:58,080 --> 00:02:00,240
It's like that age old question.

45
00:02:00,240 --> 00:02:04,320
If you're at the top, are you really motivated to keep pushing the limits?

46
00:02:04,800 --> 00:02:06,920
Or do you just kind of rest on your laurels?

47
00:02:07,000 --> 00:02:08,640
I don't know. But it's a valid concern.

48
00:02:08,640 --> 00:02:09,880
It is a valid concern.

49
00:02:09,880 --> 00:02:12,880
Because competition often breeds innovation. It does.

50
00:02:12,880 --> 00:02:15,520
And when you have a dominant player, it's important to make sure

51
00:02:15,520 --> 00:02:20,080
there's still room for those smaller players to emerge and challenge the status quo.

52
00:02:20,160 --> 00:02:23,160
Well, and speaking of competition, remember how blown away

53
00:02:23,160 --> 00:02:26,360
everyone was by OpenAI's Sora video generator?

54
00:02:26,360 --> 00:02:28,040
Oh, yeah. I mean, it was everywhere.

55
00:02:28,040 --> 00:02:30,760
And now Meta is coming out their own version called MovieGen.

56
00:02:31,200 --> 00:02:33,600
The AI video generation race is on.

57
00:02:33,600 --> 00:02:35,960
It is. I mean, just think about this.

58
00:02:35,960 --> 00:02:40,560
You can type in a text prompt and get a 16 second video. It's crazy.

59
00:02:40,560 --> 00:02:43,200
It's mind blowing how fast this technology is developing.

60
00:02:43,280 --> 00:02:47,120
It is. But Meta, you know, they're trying to be a little bit more cautious,

61
00:02:47,120 --> 00:02:48,320
which I appreciate.

62
00:02:48,320 --> 00:02:52,440
They're watermarking their AI generated videos to try to combat some of the,

63
00:02:52,440 --> 00:02:55,200
you know, concerns about misinformation.

64
00:02:55,200 --> 00:02:57,360
The potential for misuse is definitely there.

65
00:02:57,360 --> 00:02:59,600
It's especially with something as powerful as video.

66
00:03:00,040 --> 00:03:04,280
Deepfakes, all that kind of stuff. Exactly. Deepfakes, misinformation.

67
00:03:04,720 --> 00:03:07,080
It's a whole new frontier of challenges.

68
00:03:07,120 --> 00:03:09,200
It's like opening Pandora's box.

69
00:03:09,200 --> 00:03:12,040
You can't just put it back in. You can't unring that bell.

70
00:03:12,440 --> 00:03:16,040
And it's really forcing us to rethink a lot of things very quickly.

71
00:03:16,040 --> 00:03:18,200
It is. How do we regulate this technology?

72
00:03:18,440 --> 00:03:20,760
How do we ensure it's used ethically? Right.

73
00:03:20,760 --> 00:03:24,120
These are questions we need answers to, like yesterday. Absolutely.

74
00:03:24,160 --> 00:03:27,480
And I think it's a conversation that everyone needs to be a part of,

75
00:03:27,480 --> 00:03:29,960
not just the tech giant. I completely agree.

76
00:03:30,200 --> 00:03:34,360
This technology has the potential to impact every single one of us.

77
00:03:34,680 --> 00:03:38,240
And we need to be informed and engaged in shaping its future.

78
00:03:38,480 --> 00:03:41,440
Well said. It's not just about the cool factor anymore.

79
00:03:41,440 --> 00:03:44,520
It's about the ethical implications, the societal impact.

80
00:03:44,520 --> 00:03:46,120
It's about our future. Absolutely.

81
00:03:46,120 --> 00:03:49,960
But get this, AI is even changing the way we make and drink wine.

82
00:03:49,960 --> 00:03:52,720
It's true. AI sommeliers. Who knew?

83
00:03:52,720 --> 00:03:55,080
Right. It's not just recommending wines anymore.

84
00:03:55,080 --> 00:03:58,320
It's actually impacting how those wines are made from the ground up.

85
00:03:58,440 --> 00:04:00,240
It's like something out of Star Wars.

86
00:04:00,480 --> 00:04:04,160
AI predicting which wines will be popular years down the line.

87
00:04:04,400 --> 00:04:07,840
Drones flying over vineyards, analyzing the grapes.

88
00:04:07,840 --> 00:04:10,360
Amazing. Monitoring for diseases.

89
00:04:10,360 --> 00:04:14,800
And it's not just some futuristic fantasy limited to these high end wineries.

90
00:04:15,080 --> 00:04:18,320
These technologies are becoming more and more accessible, which means...

91
00:04:18,320 --> 00:04:19,120
Oh, really? Yeah.

92
00:04:19,120 --> 00:04:23,560
We could start seeing benefits like lower prices for consumers,

93
00:04:23,800 --> 00:04:28,960
more sustainable practices in vineyards and maybe even tastier wines

94
00:04:29,200 --> 00:04:31,000
because of this AI optimization.

95
00:04:31,000 --> 00:04:32,960
I mean, that's something we can all get behind, right?

96
00:04:32,960 --> 00:04:35,360
More delicious, affordable wine. Cheers to that.

97
00:04:35,640 --> 00:04:39,600
But speaking of finding the right bottle, have you heard of this app AI Sultana?

98
00:04:40,000 --> 00:04:43,080
I have. It's like having a personal sommelier in your pocket.

99
00:04:43,080 --> 00:04:46,120
Exactly. You tell the app what kind of flavors you like,

100
00:04:46,120 --> 00:04:47,840
what wines you've enjoyed in the past.

101
00:04:47,840 --> 00:04:52,520
And it uses AI to recommend new wines that you might enjoy.

102
00:04:52,840 --> 00:04:53,920
I need to check this out.

103
00:04:53,920 --> 00:04:56,280
It's a game changer, especially if you're like me

104
00:04:56,280 --> 00:04:58,480
and get overwhelmed by all the choices at the wine shop.

105
00:04:58,480 --> 00:05:01,560
Oh, absolutely. But let's talk about the elephant in the room for a second.

106
00:05:02,240 --> 00:05:07,000
All this incredible AI, it requires a ton of energy to run.

107
00:05:07,000 --> 00:05:07,560
It does.

108
00:05:07,560 --> 00:05:11,640
I mean, we're talking massive data centers, complex algorithms, the works.

109
00:05:12,440 --> 00:05:13,720
Is it sustainable?

110
00:05:13,920 --> 00:05:15,040
That's the big question.

111
00:05:15,040 --> 00:05:18,240
And it's something that researchers and engineers are working on constantly.

112
00:05:18,640 --> 00:05:22,320
One promising development is in the area of more efficient hardware.

113
00:05:22,320 --> 00:05:26,680
OK. Like cerebras, they have this chip that's literally the size of a dinner plate.

114
00:05:26,680 --> 00:05:28,520
I've seen that. It's wild.

115
00:05:28,520 --> 00:05:31,280
Yeah. And it can process massive amounts of data

116
00:05:31,280 --> 00:05:34,280
while using significantly less power than traditional chips.

117
00:05:34,280 --> 00:05:35,080
That's impressive.

118
00:05:35,080 --> 00:05:37,880
And then you have innovations in how we power these data centers.

119
00:05:37,880 --> 00:05:41,360
We're seeing a lot of investment in renewable energy sources

120
00:05:41,360 --> 00:05:45,560
and even things like small modular reactors, which are much more efficient

121
00:05:45,560 --> 00:05:47,960
and flexible than traditional nuclear power plants.

122
00:05:47,960 --> 00:05:51,960
That's like a technological arms race, but for a good cause this time.

123
00:05:51,960 --> 00:05:56,760
Exactly. We need to innovate on all fronts, hardware, software and energy

124
00:05:56,760 --> 00:05:59,160
if we want to create a truly sustainable future with AI.

125
00:05:59,600 --> 00:06:00,760
It's a team effort.

126
00:06:00,760 --> 00:06:01,360
It is.

127
00:06:01,360 --> 00:06:04,760
So we've talked about AI's impact on how we write, how we drink.

128
00:06:04,760 --> 00:06:05,960
But what about the law?

129
00:06:05,960 --> 00:06:07,960
AI is really shaking things up there, too.

130
00:06:07,960 --> 00:06:12,360
Yeah, it's a fascinating and complex area and one that's sparking a lot of debate

131
00:06:12,960 --> 00:06:15,360
for good reason. Right. Like facial recognition.

132
00:06:15,360 --> 00:06:19,360
It feels very big brotherish, but it's being used by police departments all over.

133
00:06:19,360 --> 00:06:23,160
It is. It's used in a lot of different ways, from identifying suspects

134
00:06:23,160 --> 00:06:25,760
to scanning crowds for wanted individuals.

135
00:06:25,760 --> 00:06:28,960
So the potential is there to really prevent crime.

136
00:06:28,960 --> 00:06:30,560
But what about our privacy?

137
00:06:30,560 --> 00:06:32,560
That's the million dollar question, isn't it?

138
00:06:32,560 --> 00:06:36,160
How do we balance the potential benefits with the potential risks

139
00:06:36,160 --> 00:06:37,960
to individual liberties?

140
00:06:37,960 --> 00:06:40,360
Yeah. I mean, where do you even begin to draw the line?

141
00:06:40,360 --> 00:06:42,160
Exactly. It's a tough one.

142
00:06:42,160 --> 00:06:44,360
And it's not just facial recognition either.

143
00:06:44,760 --> 00:06:49,360
We're seeing AI being used in all aspects of law enforcement, even down to the paperwork.

144
00:06:49,360 --> 00:06:50,960
Well, that's what I was just thinking about.

145
00:06:50,960 --> 00:06:54,360
Axon, the company behind those police body cameras,

146
00:06:54,360 --> 00:06:58,960
they're developing an AI called Draft One that writes police reports.

147
00:06:58,960 --> 00:07:01,560
Oh, right. Using the audio from the body cameras, right?

148
00:07:01,560 --> 00:07:05,160
Yeah. So it can listen to the interaction and create a written report.

149
00:07:05,160 --> 00:07:06,760
It's pretty wild. It is wild.

150
00:07:06,760 --> 00:07:11,160
The idea is to free up officers' time so they can focus on other tasks.

151
00:07:11,160 --> 00:07:16,960
Which makes sense. But then you have an AI interpreting potentially misinterpreting events, you know.

152
00:07:16,960 --> 00:07:18,160
Exactly. Yeah.

153
00:07:18,160 --> 00:07:21,960
Those reports carry a lot of weight, so accuracy is absolutely crucial.

154
00:07:21,960 --> 00:07:26,360
It makes you wonder, could this technology actually end up hindering justice

155
00:07:26,360 --> 00:07:28,360
if it's not 100% reliable?

156
00:07:28,360 --> 00:07:33,360
It's definitely a possibility, which is why the development and implementation of this kind of AI

157
00:07:33,360 --> 00:07:35,760
needs to be approached with extreme caution.

158
00:07:35,760 --> 00:07:40,160
For sure. I mean, this isn't some sci-fi movie. This is real life with real consequences.

159
00:07:40,160 --> 00:07:45,560
It is. And I think it really highlights the fact that AI, for all its potential, is just a tool.

160
00:07:45,560 --> 00:07:46,160
Right.

161
00:07:46,160 --> 00:07:48,960
And like any tool, it can be used for good or for bad.

162
00:07:48,960 --> 00:07:50,960
So it all comes down to us, really.

163
00:07:50,960 --> 00:07:55,160
It does. It comes down to how we choose to use it, how we regulate it,

164
00:07:55,160 --> 00:07:57,560
and how we ensure it's aligned with our values.

165
00:07:57,560 --> 00:08:03,160
Okay. So to wrap things up, we've covered a lot today, from writing code to writing reports.

166
00:08:03,160 --> 00:08:07,160
To shipping wine, to fighting crime. All with a little help from AI.

167
00:08:07,160 --> 00:08:09,960
It's amazing to see how far AI has come.

168
00:08:09,960 --> 00:08:12,960
And a little daunting to think about where it's going next.

169
00:08:12,960 --> 00:08:18,160
It really is. And I think the biggest take away for me is that this isn't just about the technology itself.

170
00:08:18,160 --> 00:08:19,360
It's about us.

171
00:08:19,360 --> 00:08:23,360
Absolutely. We can't just sit back and let AI shape the future.

172
00:08:23,360 --> 00:08:26,160
We need to be active participants in that process.

173
00:08:26,160 --> 00:08:30,760
We need to be asking the tough questions, considering the ethical implications,

174
00:08:30,760 --> 00:08:35,880
and making sure that AI is used to create a better world for everyone, not just a select few.

175
00:08:35,880 --> 00:08:38,200
Well said. And that's a good place to leave it, I think.

176
00:08:38,200 --> 00:08:41,880
I think so too. So until next time, keep thinking critically,

177
00:08:41,880 --> 00:08:46,200
stay curious, and remember the future of AI is in our hands.

178
00:08:46,200 --> 00:09:00,760
Cheers to that.