Latest / UK Column Radio / AI Data Centres, Central Intel, and Water Lockdowns | Jerm Warfare

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AI Data Centres, Central Intel, and Water Lockdowns | Jerm Warfare · UK Column Radio

• 0:30
  Speaker 1: My name is Jim. This is germ Wolfe The Battle
• 0:33
  Speaker 1: of Ideas. M thank you for joining me in the strangers.
• 0:38
  Speaker 2: Good to be back, Geram. How's it going? Amen?
• 0:42
  Speaker 1: Good listen? Are you standing.
• 0:45
  Speaker 2: Today? I'm standing. My back has been communicating to me
• 0:49
  Speaker 2: that I should get rid of my chair, so I
• 0:51
  Speaker 2: raised the dusk up today, one of my first standing podcasts.
• 0:55
  Speaker 2: It's it's a lot better because instead of a static position,
• 0:58
  Speaker 2: you can always move, move and shake, and they even
• 1:01
  Speaker 2: have these paths you can put in below your feet
• 1:05
  Speaker 2: and you can kind of like squish down on one
• 1:07
  Speaker 2: side or the other. But as from what I understand,
• 1:09
  Speaker 2: you know, the body is meant to move, so if
• 1:12
  Speaker 2: you keep it in one place for such a long time,
• 1:16
  Speaker 2: you know you're the muscles on the front of your legs,
• 1:18
  Speaker 2: the tendons are gonna get really tight, and this leads
• 1:21
  Speaker 2: to a whole host of things like back issues. So yeah,
• 1:25
  Speaker 2: I'm trying. I'm doing something new today.
• 1:27
  Speaker 1: Now, AI, how Kim is yet to stay? There's no
• 1:31
  Speaker 1: point in fighting. It's right. It is going to be
• 1:34
  Speaker 1: part of our lives no matter what. It's kind of
• 1:36
  Speaker 1: like saying, well, I don't I don't like the internet.
• 1:40
  Speaker 2: Yeah, there's there's the genie is out of the bottle,
• 1:44
  Speaker 2: and it's like, I mean, the companies that are really
• 1:51
  Speaker 2: leading this effort and the anthropic, the open AI they've
• 1:55
  Speaker 2: been given free rein. There's a there's a massive coordinated
• 2:00
  Speaker 2: push to get this in everyone's hands, on everyone's devices.
• 2:03
  Speaker 2: I mean, I don't know if people notice this, but
• 2:06
  Speaker 2: now AI appeared one day magically on your phone and
• 2:10
  Speaker 2: laptop and it's not going back. You have to consciously
• 2:14
  Speaker 2: make a choice to kick it out. And when I
• 2:17
  Speaker 2: saw this happening last year, I wanted to learn more
• 2:21
  Speaker 2: and so that's what I've been doing for the last
• 2:23
  Speaker 2: year is researching everything I can about AI data centers.
• 2:26
  Speaker 2: And what I found is it's the perfect excuse to
• 2:30
  Speaker 2: centralize our resources or land or a water and our power.
• 2:35
  Speaker 2: And it's something we should be thinking about because these
• 2:38
  Speaker 2: AI products, a lot of them use online. They are
• 2:41
  Speaker 2: free to use, but you don't know what you're paying with.
• 2:45
  Speaker 2: And that's the scary part. What are you paying with?
• 2:49
  Speaker 1: It kind of is becoming a wall, you know, building
• 2:54
  Speaker 1: as many data centers as possible.
• 2:57
  Speaker 2: Yeah, there, it is a war. That's how it's played up.
• 3:02
  Speaker 2: There's an interview between Tucker Carlson and Kevin O'Leary where
• 3:06
  Speaker 2: they're talking about the data centers, and Tucker brings up
• 3:10
  Speaker 2: a good point and he's like, hey, so why do
• 3:13
  Speaker 2: we have to build so many of these things? And
• 3:17
  Speaker 2: Kevin O'Leary, who's building a massive data center in Utah
• 3:22
  Speaker 2: and the United States, says well, hey, if we don't
• 3:24
  Speaker 2: build them, then China is going to build them, right,
• 3:27
  Speaker 2: And so it's pressing this narrative that there's a cold
• 3:31
  Speaker 2: war happening and it's something akin to a nuclear weapon,
• 3:35
  Speaker 2: and that's how that's how the United States military and
• 3:39
  Speaker 2: government think of it. AI is like a nuclear weapon,
• 3:41
  Speaker 2: and so they have to secure the means, the distribution,
• 3:45
  Speaker 2: and that is through AI data centers.
• 3:48
  Speaker 1: So were I love Cape Jon currently has three data centers.
• 3:53
  Speaker 2: This is not all data centers. I want to preface
• 3:56
  Speaker 2: that is we were using data centers. Yeah, this is
• 3:59
  Speaker 2: a time we're referring to AI AI data centers, right,
• 4:04
  Speaker 2: And so the terminology people say is hyperscalers. So a
• 4:09
  Speaker 2: hyperscaler the data center at that level is using the
• 4:14
  Speaker 2: same amount of power as one hundred thousand US homes.
• 4:18
  Speaker 1: Why the hold on hold on, hold on, just slow down,
• 4:20
  Speaker 1: slowed on, all right, I'm a layman.
• 4:23
  Speaker 2: Why why yeah, I know it's this is this is
• 4:27
  Speaker 2: it's the magic of AI. Right, it's free, but it's
• 4:31
  Speaker 2: not because there's an incredible amount of computation. So these
• 4:36
  Speaker 2: AI chips you could call them like the pinnacle of
• 4:40
  Speaker 2: technology today. This is if you look at how these
• 4:43
  Speaker 2: AI chips are developed. They've got one chip with two
• 4:48
  Speaker 2: hundred billion transistors on it. Now, all these transistors allows
• 4:53
  Speaker 2: for extremely quick computation. We're talking about a thousand trillion
• 4:59
  Speaker 2: operation per second. So this is the speed at which
• 5:04
  Speaker 2: this AI can consume information and look for patterns. And
• 5:08
  Speaker 2: so imagine one of these chips that can do this
• 5:12
  Speaker 2: and dude's doing one thousand trillion operations per second at
• 5:16
  Speaker 2: full load. And so then ultimately it gets really hot.
• 5:21
  Speaker 2: It uses a lot of power, and it gets so
• 5:24
  Speaker 2: hot it's close to the temperature of the surface of
• 5:27
  Speaker 2: the sun. So now it's extremely hot. It can't stay
• 5:31
  Speaker 2: at that temperature. It needs to be cooled down. And
• 5:33
  Speaker 2: that's where the water comes in. And all of these
• 5:37
  Speaker 2: AI data centers need a constant flow of water to
• 5:41
  Speaker 2: cool the chips down, and they release that heat off
• 5:44
  Speaker 2: into the atmosphere. These are some of the largest infrastructure
• 5:48
  Speaker 2: projects in the world's history. Like a average and average
• 5:52
  Speaker 2: EYED data center facility is a ten billion dollars you know.
• 5:56
  Speaker 2: To give you some more idea of scale. In twenty
• 5:58
  Speaker 2: twenty five, companies pledge two point five trillion dollars towards
• 6:04
  Speaker 2: AI data centers. Two point five trillion dollars, So that's
• 6:08
  Speaker 2: more than an international high speed rail network we could
• 6:13
  Speaker 2: have built. We could have built bullet trains all over
• 6:15
  Speaker 2: the United States, but no, we build AI data centers.
• 6:20
  Speaker 2: And the reason is well one there it is a bubble.
• 6:25
  Speaker 2: And in my report on AIDATACENTERMAP, dot org, I have
• 6:28
  Speaker 2: a few different theories as to why they're being built.
• 6:31
  Speaker 2: The first one is investors are actually really dumb and
• 6:35
  Speaker 2: they'll because there's this desperation to jump on the next
• 6:39
  Speaker 2: economic trend, they'll throw all the money. Everyone's making a
• 6:42
  Speaker 2: data center. And this is something that is not unique
• 6:45
  Speaker 2: to the US. China went through their own AI data
• 6:48
  Speaker 2: center boom in twenty twenty two and twenty twenty three,
• 6:52
  Speaker 2: and now eighty percent of their data centers, according this
• 6:55
  Speaker 2: is according to MIT, are sitting empty. So they can't
• 6:59
  Speaker 2: even find customers to operate that. Now, the US is
• 7:03
  Speaker 2: actually building double the amount of power for AI data
• 7:08
  Speaker 2: centers here and we're only halfway through by This is
• 7:13
  Speaker 2: data from the map I built aidatacentermap dot org. But
• 7:17
  Speaker 2: I'm looking at all the planned data centers till twenty
• 7:20
  Speaker 2: thirty and then if the US builds every single one
• 7:24
  Speaker 2: that it has planned, then data centers are going to
• 7:26
  Speaker 2: use forty percent of the US's total power capacity. Yeah,
• 7:32
  Speaker 2: so it's like a minimum, like our power generation is
• 7:36
  Speaker 2: not going to quadruple in that time. There's absolutely no way.
• 7:40
  Speaker 2: So once you get pressure to build these things, it's
• 7:44
  Speaker 2: the people who pay the water bills and the power
• 7:47
  Speaker 2: bills they're going to feel the weight.
• 7:49
  Speaker 1: And you hinted that does not about data centers in
• 7:52
  Speaker 1: China being empty. Are you suggesting that perhaps it's not
• 7:56
  Speaker 1: going to get to that point There is going to
• 7:57
  Speaker 1: be a plateau.
• 8:00
  Speaker 2: There's a bubble. Yeah, this is if you look at
• 8:03
  Speaker 2: in terms of the economic investment, and you look at
• 8:07
  Speaker 2: historical events like the dot com boom, this this wave
• 8:12
  Speaker 2: of investment far far precedes it. I mean, it's just
• 8:16
  Speaker 2: it's just absolutely staggering. Again, these are some of the
• 8:19
  Speaker 2: most expensive infrastructure projects in history. So what comes up
• 8:24
  Speaker 2: must come down. And this is also why there's a
• 8:26
  Speaker 2: pressure to try and get everyone to use AI. That's
• 8:29
  Speaker 2: why it appeared in all of our products overnight. That's
• 8:33
  Speaker 2: also why many many companies like that are related to
• 8:39
  Speaker 2: surveillance are also spinning up flock cameras. In the United
• 8:43
  Speaker 2: States is a big example of this. This these AI
• 8:46
  Speaker 2: data centers. Consumers may not ever use them, but they
• 8:51
  Speaker 2: can be repurposed for military purposes. And there's already there's
• 8:57
  Speaker 2: already orders being passed within the military that I'll allow
• 9:00
  Speaker 2: them to have private contract with cloud AI providers. So whoop, oh,
• 9:04
  Speaker 2: I guess no one's using this AI. Well, now it
• 9:06
  Speaker 2: can be used for military purposes, it can be used
• 9:09
  Speaker 2: for government and surveillance purposes. So what I find is
• 9:14
  Speaker 2: that this is not going to help out average everyday people.
• 9:18
  Speaker 2: They it's presented as that, but they have built, they
• 9:21
  Speaker 2: have over built so much, we could not dream of
• 9:25
  Speaker 2: using this much AI compute. So something has to use
• 9:28
  Speaker 2: it or they're going to go out of business.
• 9:30
  Speaker 1: This is technocracy.
• 9:34
  Speaker 2: It feels like, it feels like it's the ticket to technocracy.
• 9:38
  Speaker 2: And then when you look at how many advantages these
• 9:41
  Speaker 2: AI data centers were given. In early twenty twenty five,
• 9:46
  Speaker 2: Trump doubled down on bonus depreciation. So Jerrem bonus appreciation
• 9:53
  Speaker 2: is if you build a data center within one year,
• 9:57
  Speaker 2: you can ride off the entire costs of the data
• 10:00
  Speaker 2: center from your taxes, from your taxable income. So in
• 10:04
  Speaker 2: the US, you know, we saw these from twenty twenty
• 10:08
  Speaker 2: two to twenty twenty five, we saw four hundred AI
• 10:11
  Speaker 2: data centers being built. This is why because they actually
• 10:15
  Speaker 2: will get to write off the entire amount of the
• 10:19
  Speaker 2: data center if they build it within this one year.
• 10:22
  Speaker 2: So there's these economic factors at play that are driving them.
• 10:26
  Speaker 2: And that's at the federal level. There's also these massive
• 10:29
  Speaker 2: tax benefits at the state level, like sales and use
• 10:33
  Speaker 2: tax that these data centers don't have to pay. Now
• 10:36
  Speaker 2: we're talking, all right, you don't have to pay the
• 10:38
  Speaker 2: eight point twenty five or whatever percent it is in
• 10:40
  Speaker 2: your state. That doesn't seem like a lot, but when
• 10:43
  Speaker 2: you're building a twenty or fifty billion dollar facility, they're
• 10:47
  Speaker 2: saving billions of dollars. And so they're saving at federal, state,
• 10:52
  Speaker 2: and even local levels. So who's carrying the costs on
• 10:55
  Speaker 2: the shoulders, Well, it's consumers if these AI data centers
• 11:00
  Speaker 2: do go out of business or even the additional investment
• 11:03
  Speaker 2: that's required to build this power infrastructure. Now it's the
• 11:08
  Speaker 2: taxpayers and ratepayers that are going to end up paying
• 11:11
  Speaker 2: it because the DAI data centers all have tax breaks.
• 11:15
  Speaker 2: So people are going to begin to see the rise
• 11:18
  Speaker 2: and inflation of their electric and water bills if they're
• 11:21
  Speaker 2: around these things.
• 11:22
  Speaker 1: Listen to this. Global data centers consumed approximately four hundred
• 11:26
  Speaker 1: and fifteen terror what hours of electricity in twenty twenty four,
• 11:31
  Speaker 1: which is about one point five percent of the world's electricity.
• 11:37
  Speaker 2: And that's and that's low. You know, this is we're
• 11:39
  Speaker 2: just at the beginning. If you look at the projections
• 11:43
  Speaker 2: of different groups and what they're aiming to build. There's
• 11:48
  Speaker 2: this really good section in our report where it talks
• 11:51
  Speaker 2: about where it talks about the tax CEOs and what
• 11:55
  Speaker 2: they want to build, and many of them say, hey,
• 11:58
  Speaker 2: we want to build so much AI compute. It's we're
• 12:01
  Speaker 2: going to have more than everyone else combined. So everyone
• 12:06
  Speaker 2: can't be saying this at the same time, right, it's
• 12:08
  Speaker 2: this massive bubble, and it's it's not that valuable. Like
• 12:13
  Speaker 2: my personal stance is that we can get rid of
• 12:16
  Speaker 2: about ninety percent of the AI data centers and it
• 12:20
  Speaker 2: would make no difference at all to the average human person.
• 12:24
  Speaker 2: It would make no different at all. This is not
• 12:26
  Speaker 2: helping us yet. The people who want to use AI,
• 12:29
  Speaker 2: and many people do, for image generation or for coding
• 12:33
  Speaker 2: or for things, they can do that and that's all
• 12:35
  Speaker 2: within this window of consumer AI, which we do not
• 12:39
  Speaker 2: need that amount of power. China is a really good
• 12:43
  Speaker 2: example of this. They have they already have self driving
• 12:46
  Speaker 2: cars as you can attest to, and robotics and they're
• 12:51
  Speaker 2: not using their data centers. So how on earth is
• 12:54
  Speaker 2: a society that is just starting to use AI going
• 12:58
  Speaker 2: to use the same amount of power.
• 13:01
  Speaker 1: I'm confused, a Kim, So what is going on? Are
• 13:04
  Speaker 1: they are they building in anticipation or are they building
• 13:07
  Speaker 1: with an agenda?
• 13:10
  Speaker 2: It seems to me it serves multiple purposes. I mean,
• 13:14
  Speaker 2: we we we know that feeling of you will own
• 13:21
  Speaker 2: nothing and you will be happy. Well that's what I
• 13:23
  Speaker 2: know about.
• 13:24
  Speaker 1: By the way, that's not a feeling. The world be
• 13:25
  Speaker 1: going Forum actually said.
• 13:26
  Speaker 2: That, Yes, we know that, we know that they've said that,
• 13:31
  Speaker 2: and we know that This is like the underlying tone
• 13:35
  Speaker 2: of a lot what we're seeing at the global level,
• 13:37
  Speaker 2: the policies, the agenda, and I can't help but think
• 13:41
  Speaker 2: how these AI data centers seem to centralize more of
• 13:46
  Speaker 2: a resources. Now. So earlier this year, the UN announced
• 13:52
  Speaker 2: a global water bankruptcy, So that basically means water levels
• 13:58
  Speaker 2: are getting to the point where they can't come back.
• 14:01
  Speaker 2: And so what was their idea. Did they say, hey,
• 14:04
  Speaker 2: all right, let's find a way to restore water and
• 14:06
  Speaker 2: use it. No, that's not what they said. They said,
• 14:09
  Speaker 2: all right, we need more visibility and say and the
• 14:14
  Speaker 2: ability to adjudicate people's water rights. So this is something
• 14:19
  Speaker 2: important for maybe listeners to understand. Do you know who
• 14:22
  Speaker 2: owns the water where you live? Do you own it?
• 14:25
  Speaker 2: Who owns it? Right, that's something important to know. So
• 14:28
  Speaker 2: in some places in the US now they're actually saying, hey,
• 14:31
  Speaker 2: you've drilled a well, but now we're going to adjudicate
• 14:35
  Speaker 2: your water, meaning that you need to let us know
• 14:37
  Speaker 2: how much water you're using. We don't even know. You
• 14:40
  Speaker 2: need to tell us how much you're using so then
• 14:43
  Speaker 2: we can regulate it for you. And we're starting to
• 14:46
  Speaker 2: see this everywhere. So yes, these AI data centers, they
• 14:50
  Speaker 2: can use up all the resources and then we can
• 14:52
  Speaker 2: impose more rules on everyday people.
• 14:55
  Speaker 1: You mentioned hyperscalers earlier. That's obviously alluding to the big
• 15:00
  Speaker 1: the big players in AI usage. Who are they, I'm
• 15:04
  Speaker 1: guessing Amazon, Facebook, Microsoft, Google.
• 15:08
  Speaker 2: Yeah, it's it is the big ones. There's Project Stargate,
• 15:14
  Speaker 2: which is Oracle Soft, Bank Open Ai, Amazon, Google.
• 15:20
  Speaker 1: Sorry, that's connected to.
• 15:23
  Speaker 2: Stargate, not not in public. I don't know if it's
• 15:27
  Speaker 2: connected to Palenttier, but you know, you could throw Palenteer
• 15:30
  Speaker 2: in there. I'm sure Palentier has many contracts with these
• 15:33
  Speaker 2: cloud providers to run to run their products like and
• 15:37
  Speaker 2: so if you check out the map, it actually has
• 15:42
  Speaker 2: a list of data centers in the United States. It's
• 15:45
  Speaker 2: a whole map that you can get. Go into AI
• 15:48
  Speaker 2: Data Center Map dot org and you can see the hyperscalers.
• 15:52
  Speaker 2: There's these black triangles, all right. So AI Data Center
• 15:57
  Speaker 2: Map dot org. So we built this just a few
• 15:59
  Speaker 2: months ago, this phase two that just came out, and
• 16:03
  Speaker 2: we're cataloging all of the data centers in the United States.
• 16:07
  Speaker 2: And I want to work on more countries, y'all, but
• 16:10
  Speaker 2: the United States is where I live. And that's my
• 16:13
  Speaker 2: first obligation. And we're also way ahead of everyone else,
• 16:16
  Speaker 2: Like it's not even close. So if we go in,
• 16:21
  Speaker 2: we can click on any data center here. And this
• 16:23
  Speaker 2: is the only map in the world that is estimating.
• 16:27
  Speaker 2: It's making a rough estimate on how much power and
• 16:31
  Speaker 2: water these data centers will use. So you see, here's
• 16:35
  Speaker 2: Project Spring in Oklahoma, and it's planned for twenty twenty nine,
• 16:41
  Speaker 2: five hundred megawatts of power and it's going to use
• 16:45
  Speaker 2: the same amount of power as about two hundred thousand
• 16:48
  Speaker 2: homes and about six hundred thousand gallons a day. Now,
• 16:52
  Speaker 2: how am I able to throw these numbers at you? Well, hey,
• 16:55
  Speaker 2: I do have a methodology, and this is this is
• 16:59
  Speaker 2: all outline and in the report. No one has done this.
• 17:03
  Speaker 2: Academics have kind of published numbers that give you an overview,
• 17:08
  Speaker 2: but none really give you a way to look at
• 17:12
  Speaker 2: a data center's power capacity and make a judgment on this.
• 17:15
  Speaker 2: So I figured if none of the scientists were going
• 17:18
  Speaker 2: to do it, I'll just take my crack at it.
• 17:20
  Speaker 2: And I did read these papers like this is the
• 17:23
  Speaker 2: best paper. This is the Lawrence Berkeley National Labs Data
• 17:27
  Speaker 2: Center Energy Report, Energy Usage Report, and it's linked directly
• 17:31
  Speaker 2: from the page. Everything is cited in the report, and
• 17:35
  Speaker 2: I appreciated their analysis more than anyone. The reason why
• 17:40
  Speaker 2: we had to do this is because AI data centers
• 17:44
  Speaker 2: are not sharing how much power and water they're using.
• 17:47
  Speaker 2: You're kind of having to guess. When I looked at
• 17:51
  Speaker 2: their sustainability reports, they I found that in cases they
• 17:58
  Speaker 2: weren't even measuring their water, they didn't even have a
• 18:01
  Speaker 2: water meter, and they were estimating. So if they get
• 18:05
  Speaker 2: to estimate, then why don't we get to estimate? So
• 18:08
  Speaker 2: this is just a this is this map is a
• 18:10
  Speaker 2: starting point to get the conversation started. I'm not saying
• 18:14
  Speaker 2: it's extremely accurate. There's a lot of variables you have
• 18:17
  Speaker 2: to account for, but I think this is a very
• 18:21
  Speaker 2: reasonable estimate. So if you click on an empty spot
• 18:24
  Speaker 2: on the map, it'll tell you out of all the
• 18:28
  Speaker 2: data centers nearby, this is how much water they're displacing
• 18:32
  Speaker 2: three hundred three million, three hundred thousand gallons a day,
• 18:38
  Speaker 2: displacing a million homes of power. So I want this
• 18:42
  Speaker 2: map to be used for people to make better decisions
• 18:46
  Speaker 2: about where they're currently living, maybe where they're moving to,
• 18:50
  Speaker 2: and also to organize at a local level so they
• 18:53
  Speaker 2: can stop these things. Because we're again we're only halfway through.
• 18:58
  Speaker 2: Most of the data centers will be built from now
• 19:01
  Speaker 2: until twenty thirty, so we're just getting started with this.
• 19:07
  Speaker 1: Listen to this. US data centers consumed one hundred and
• 19:12
  Speaker 1: eighty two point six ta hours in twenty twenty four,
• 19:16
  Speaker 1: which is the equivalent to the annual electricity use of
• 19:19
  Speaker 1: roughly sixteen point nine million American homes, which is on
• 19:23
  Speaker 1: par with what you were saying. Each year, the one
• 19:27
  Speaker 1: hundred and seventeen lowest consumption countries each consume less electricity
• 19:33
  Speaker 1: than chat GPT alone.
• 19:37
  Speaker 2: Yeah. Man, it's it's the scale is absolutely crazy. It's
• 19:41
  Speaker 2: like one of these data sent Let me say another
• 19:43
  Speaker 2: thing that will help put in perspective. Before there was AI,
• 19:48
  Speaker 2: Google and Microsoft, two companies with billions of users. We're
• 19:52
  Speaker 2: not talking that long ago, by the way. We're talking
• 19:55
  Speaker 2: like twenty twenty twenty three this year. So a few
• 20:01
  Speaker 2: years ago, both of these companies all of their data
• 20:04
  Speaker 2: centers across the planet. They used four gigawatts of power
• 20:10
  Speaker 2: for gigawatts, so a single so that's their entire global
• 20:15
  Speaker 2: fleet of data centers. Nowadays, a single data center. They
• 20:20
  Speaker 2: have planned to have nine gigawatts of power, so doubling
• 20:24
  Speaker 2: what Google or Microsoft had throughout the whole planet. Right,
• 20:28
  Speaker 2: And of course nine gigawatts of power is more than
• 20:32
  Speaker 2: a lot of their world countries will use. So I
• 20:36
  Speaker 2: can't I don't really have a better reason. It's like,
• 20:39
  Speaker 2: there's there's no way you can make a product that
• 20:43
  Speaker 2: people will use. There's no way that this is profitable.
• 20:46
  Speaker 2: I really can't see the logic behind it unless it
• 20:50
  Speaker 2: is for more of a military or overarching surveillance infrastructure.
• 20:55
  Speaker 1: If water becomes a threat, I guess what's happen. We're
• 21:00
  Speaker 1: going to get lockdowns, water lockdowns.
• 21:05
  Speaker 2: Yes, And so we talked about how AI data centers
• 21:10
  Speaker 2: they're not measuring their own water. In fact, they've been
• 21:14
  Speaker 2: caught in different places when in fit County, Georgia, there's
• 21:23
  Speaker 2: a giant data center campus there that was sucking up
• 21:26
  Speaker 2: thirty million gallons of water and it's supposed to be
• 21:30
  Speaker 2: on a closed loop system. That's what a lot of
• 21:33
  Speaker 2: these data centers are saying. Now, Hey, don't worry about it,
• 21:35
  Speaker 2: we're on a closed loop system. Bullshit, prove it. Prove
• 21:39
  Speaker 2: it by installing a water meter. They won't do that.
• 21:43
  Speaker 2: There's no there's no regulation or accountability or transparency with that.
• 21:48
  Speaker 2: And so in this place Georgia, people only noticed when
• 21:53
  Speaker 2: they would use their sink and water wouldn't come out.
• 21:56
  Speaker 2: And so then they found two massive industrial water hookups
• 22:00
  Speaker 2: for the data center that they didn't even know about.
• 22:03
  Speaker 2: And guess what, this data center, they were just charged
• 22:09
  Speaker 2: for the water that they were used. They weren't even
• 22:11
  Speaker 2: fined even after abusing their water supply. So what I
• 22:17
  Speaker 2: found is I've looked at different things in the US,
• 22:19
  Speaker 2: like golf courses, which are also massive, massive waste of water.
• 22:24
  Speaker 2: I don't know, if you play golf.
• 22:25
  Speaker 1: I corne did.
• 22:29
  Speaker 2: Yeah, it's it's not my game. And if it wasn't
• 22:32
  Speaker 2: my game before, it definitely wasn't after. I realized each
• 22:36
  Speaker 2: golf course in the Southwest uses one hundred and fifty
• 22:39
  Speaker 2: million gallons of water a year. So to me, it's
• 22:42
  Speaker 2: like a bizarre world. Is we're having trouble growing food
• 22:45
  Speaker 2: we don't Water is already a scarce resource, there's a
• 22:49
  Speaker 2: lot of thirsty people, it's hotter than it ever has
• 22:52
  Speaker 2: been before, and then people are playing golf on a
• 22:56
  Speaker 2: green lawn. So what I found was that with golf courses,
• 23:02
  Speaker 2: local water organizations. They couldn't even find these country clubs
• 23:08
  Speaker 2: and golf courses. If they can't stop a country club,
• 23:11
  Speaker 2: how are they going to stop a billion dollar AI
• 23:13
  Speaker 2: data center that has many perks and many connections. Like
• 23:17
  Speaker 2: it's it's it's not making sense. So this is rules
• 23:21
  Speaker 2: for thee and not for me.
• 23:25
  Speaker 1: Li isten't to this. Islands one and twenty one data
• 23:28
  Speaker 1: centers consume about twenty one percent of all electricity in
• 23:34
  Speaker 1: Ireland as of twenty and twenty four.
• 23:38
  Speaker 2: Yes, Ireland is a really big hub in Europe. Dublin.
• 23:43
  Speaker 2: They're mostly concentrated in Dublin, and yeah, I just know that.
• 23:50
  Speaker 2: You know, Europe also has the same trend. It's very
• 23:53
  Speaker 2: interesting to the reasoning and the agenda. The agenda in
• 23:56
  Speaker 2: Europe is like we have to build these data centers
• 23:59
  Speaker 2: to become into pendent from American tech infrastructure in the
• 24:03
  Speaker 2: big tech companies, which is fine, that's all good and well,
• 24:06
  Speaker 2: but they're not even close to the amount of AI
• 24:11
  Speaker 2: data centers. So I am concerned about it. But it's
• 24:16
  Speaker 2: going to take them a while, and I think people
• 24:19
  Speaker 2: need to be really hyper aware. I do think this
• 24:23
  Speaker 2: is coming everywhere and the changes we're going to start
• 24:25
  Speaker 2: to see. If these data centers continue to plurifer, it
• 24:29
  Speaker 2: is our lakes and rivers and wetlands will shrink and
• 24:33
  Speaker 2: decrease because it's the water from the aquifer that is
• 24:38
  Speaker 2: actually recharging it right as as is above on the
• 24:42
  Speaker 2: surface is below. So there's always a constant communication from
• 24:46
  Speaker 2: the lakes and rivers to the aquifers. So if you
• 24:49
  Speaker 2: see things falling on the surface, that also means your
• 24:52
  Speaker 2: aquifers are failing. There's also environmental loss because the area
• 24:57
  Speaker 2: around our lakes and rivers, it's called the Ruparian zone,
• 25:01
  Speaker 2: which is ecologically very special and unique because it has
• 25:05
  Speaker 2: water loving plants that build soil. There's microbes and worms,
• 25:10
  Speaker 2: and it creates new soil. It also cleans toxins, and
• 25:16
  Speaker 2: it holds our planet's ecosystem together. So from you know,
• 25:20
  Speaker 2: I was a dude who took really long showers and
• 25:24
  Speaker 2: had no idea how our water systems worked before I
• 25:29
  Speaker 2: started researching this report, and I thought that was a
• 25:32
  Speaker 2: really important like realization for me, like, WHOA, there's this intelligent, beautiful,
• 25:37
  Speaker 2: creative system that is meant to support all life on
• 25:40
  Speaker 2: the planet and we're just where these companies especially are
• 25:45
  Speaker 2: extremely ignorant. They're just like the problem is it's once
• 25:49
  Speaker 2: you suck up all the water, it does not come back.
• 25:53
  Speaker 2: It does not come back. You can hit something that's
• 25:56
  Speaker 2: called the day zero, which is when you've pulled enough water,
• 26:00
  Speaker 2: you you can't get any water to the surface. And
• 26:03
  Speaker 2: that's what I want to avoid. I don't want people
• 26:05
  Speaker 2: to run into that scenario because it's it's likely for
• 26:08
  Speaker 2: some reasons of the world.
• 26:10
  Speaker 1: When we talk about a lot of the stuff we're
• 26:11
  Speaker 1: talking about the cloud or cloud computing, we're not talking
• 26:14
  Speaker 1: about local computing.
• 26:16
  Speaker 2: Yeah. So yeah, these these AI data centers are all
• 26:20
  Speaker 2: based in the cloud. Right, There's there's nothing local about them.
• 26:23
  Speaker 2: So if you share with them your your innermost thoughts
• 26:27
  Speaker 2: and your desires and your work, yeah, that's saved on
• 26:30
  Speaker 2: the clouds somewhere, and you know it's it's it's disturbing. Yeah.
• 26:35
  Speaker 1: Okay, So now with that in mind, and we know
• 26:38
  Speaker 1: that much of the cloud infrastructure that we use, you know,
• 26:42
  Speaker 1: email and whatever, banking, photos, et cetera, including the government
• 26:49
  Speaker 1: start was built like Facebook for example, from the ground
• 26:54
  Speaker 1: up in partnership with with with with intelligence agencies.
• 27:01
  Speaker 2: I think we can. You know, the relationship of these
• 27:05
  Speaker 2: companies and intelligence agencies is a tricky one, right, It's
• 27:11
  Speaker 2: very hard to pin down and say, hey, Facebook was
• 27:17
  Speaker 2: built by intelligence agencies to track everyone. But there are
• 27:21
  Speaker 2: coincidences like Project Lifelog from the Total Information Awareness Office,
• 27:29
  Speaker 2: which was doing exactly this, how to track all the
• 27:32
  Speaker 2: important events in one's life. And in the early two thousands,
• 27:35
  Speaker 2: the New York Times reported on this and there was
• 27:38
  Speaker 2: a lot of backlash, and so they closed down that
• 27:41
  Speaker 2: program literally on the same day or the next day
• 27:45
  Speaker 2: Facebook was founded. So it's hard to you know, there's
• 27:49
  Speaker 2: these little there's these little strings that make things very suspicious.
• 27:55
  Speaker 2: And I think our friend Whitney Webb from the Limited Hangout,
• 27:58
  Speaker 2: she does the best job reporting on the connections. But yeah,
• 28:02
  Speaker 2: you know, dream that these connections are on my mind.
• 28:05
  Speaker 2: And if you look at the snow Den reports, sometimes
• 28:09
  Speaker 2: you don't people inside the company like you're mentioning some
• 28:13
  Speaker 2: streaming service. Many times they don't even know right, it's
• 28:17
  Speaker 2: these are secret operations. NSA only needs to cooperate with
• 28:23
  Speaker 2: a select group of people at this very large company
• 28:26
  Speaker 2: that consists of thousands of people to get their back
• 28:29
  Speaker 2: door access and honestly, that's all they really need. And
• 28:34
  Speaker 2: now we're to the point where AI, I would say
• 28:37
  Speaker 2: the most dangerous thing about AI is it's ability for
• 28:41
  Speaker 2: data fusion, where you can take unstructured patterns of data,
• 28:46
  Speaker 2: whether it's from your doorbell camera or from the audio
• 28:50
  Speaker 2: your phone is listening to, and they can be stitched
• 28:53
  Speaker 2: together into a profile about the individual. That's where I
• 28:56
  Speaker 2: think we're at. Now. We're starting to see the original
• 29:00
  Speaker 2: goals of total information awareness getting close to being accomplished
• 29:04
  Speaker 2: thanks to companies like Palenteer, and thanks to the big
• 29:07
  Speaker 2: tech companies having their arms in every single aspect of
• 29:11
  Speaker 2: our lives.
• 29:12
  Speaker 1: Well, Whitney has done huge amounts of work on Penanteer,
• 29:18
  Speaker 1: as we know found by What's what's he doing? Peter
• 29:21
  Speaker 1: Teel Well, Peter Thiel, how do you say, Peter Peter
• 29:23
  Speaker 1: Thiel or Peter Teel pet of theel ah and his
• 29:29
  Speaker 1: first customer was the CIA.
• 29:33
  Speaker 2: Yes, Yeah, Palenteer co founded by Alex Karp. I want
• 29:41
  Speaker 2: to say, I don't remember if if deal was an
• 29:44
  Speaker 2: investor or founder, but he's very close, he's very closely
• 29:47
  Speaker 2: related and uh, their first client, yes, was the CIA, and.
• 29:52
  Speaker 1: Effectively effectively privatizing mass surveillance.
• 29:58
  Speaker 2: Privatizing mass surveillance, and privatizing warfare, and privatizing are policing
• 30:07
  Speaker 2: because many police departments now use software like Palanteers got
• 30:12
  Speaker 2: them to stitch together the red light traffic cameras, the
• 30:16
  Speaker 2: arrest reports, the data coming from flock cameras or cameras
• 30:21
  Speaker 2: like it into one system. So they wanted to say, Hey,
• 30:25
  Speaker 2: what's GERM been up to today. They can pull up
• 30:28
  Speaker 2: your information, they can get all the related vehicles, they
• 30:31
  Speaker 2: could get the members in your family, and so on
• 30:34
  Speaker 2: and so on and so on. It's essentially a way
• 30:37
  Speaker 2: to create a digital representation that's equivalent to the real world. So, yes,
• 30:41
  Speaker 2: that's what AI enables enables to happen.
• 30:44
  Speaker 1: Yeah, well listen to this. I mean, Google, for example,
• 30:48
  Speaker 1: has deep roots in CIA, funding in q Tel, which
• 30:51
  Speaker 1: is the CIA's venture capital and was a major shihold
• 30:54
  Speaker 1: in Google as late as two thousand and five. Following
• 30:58
  Speaker 1: Google's acquisition of Keyhole, Inc. Which is a which was
• 31:02
  Speaker 1: or is a CI backed surveillance firm whose software became
• 31:07
  Speaker 1: Google Earth so A. By two thousand and seven, Google
• 31:10
  Speaker 1: was setting government en haunted versions of Google Earth used
• 31:13
  Speaker 1: for targeting in Iraq and secret search engines used by
• 31:17
  Speaker 1: spy agencies for surveillance. What could possibly go wrong?
• 31:21
  Speaker 2: Hakim, Yeah, there's a funny story about that and the CIA.
• 31:27
  Speaker 2: This isn't a book called Surveillance Value by Yasha Levine,
• 31:31
  Speaker 2: but the CIA built their own custom Google search and
• 31:36
  Speaker 2: they wanted to have the Google logo with the CIA
• 31:39
  Speaker 2: badge in it, so they had to ask Google for permission.
• 31:42
  Speaker 2: They're like, Google, can we please use your logo? Right?
• 31:45
  Speaker 2: It's airs. There's definitely like a relationship of colleagues and
• 31:49
  Speaker 2: associates between these companies, and that's kind of why it
• 31:53
  Speaker 2: makes sense when you have these agendas like age verification,
• 31:57
  Speaker 2: for example, who are the first companies to volunteer? Well,
• 32:02
  Speaker 2: it's Google and Apple and Meta and all these companies
• 32:04
  Speaker 2: that want to protect our kids. While Jeffrey Epstein uses
• 32:08
  Speaker 2: Gmail and was allowed to operate completely unimpeded for decades,
• 32:13
  Speaker 2: but now they want to protect the kids. And it
• 32:15
  Speaker 2: just goes to show these are not This is not
• 32:18
  Speaker 2: free market capitalism. These companies are propped up and they
• 32:21
  Speaker 2: have far too much power. So I think this is
• 32:24
  Speaker 2: the era now for thousands of companies to rise up
• 32:28
  Speaker 2: against them and our company above which we have private
• 32:32
  Speaker 2: solutions that are devoid of this big tech militarized surveillance software.
• 32:38
  Speaker 2: This is the year where it really starts to become popular.
• 32:41
  Speaker 2: And I think that if people haven't started preparing already,
• 32:44
  Speaker 2: they should get real ready now because the age verification
• 32:47
  Speaker 2: is a real thing. You're going to start to see
• 32:49
  Speaker 2: gates on the Internet, You're already starting to see it
• 32:52
  Speaker 2: on social media, and you need to be prepared on
• 32:54
  Speaker 2: how to use software technology. So it's an investment of
• 32:57
  Speaker 2: your time.
• 32:58
  Speaker 1: The CEO of Blackrock the interim co Chairman of the
• 33:01
  Speaker 1: World Economic Forum, and in September twenty twenty four, alongside
• 33:05
  Speaker 1: Microsoft and MGX and Abu Dhaby, Sovereign Wealth Vehicle launched
• 33:10
  Speaker 1: the Global AI Infrastructure Investment Partnership to invest in data
• 33:14
  Speaker 1: centers and power infrastructure. In October twenty twenty five, a
• 33:19
  Speaker 1: black Rock led consortium closed a forty billion dollar deal
• 33:23
  Speaker 1: to acquire seventy eight AI data centers totaling five gigawattes,
• 33:28
  Speaker 1: and in May twenty twenty six, Larry Fink publicly stated
• 33:32
  Speaker 1: that listen to this. The trillions needed for AI data
• 33:36
  Speaker 1: centers will inevitably come from savings accounts and pension accounts.
• 33:42
  Speaker 1: He said this at a Texas event. Frames are framed
• 33:46
  Speaker 1: as patriotic necessity so that China does not overtake the US.
• 33:50
  Speaker 1: So what he's saying is that for AI data centers,
• 33:54
  Speaker 1: they're going to take people's pension money.
• 33:58
  Speaker 2: Take people's four oh one k's and all the money
• 34:02
  Speaker 2: that they have invested. I mean, you know you should
• 34:05
  Speaker 2: if you're watching this show, I would hope you know
• 34:07
  Speaker 2: by now, like that's what you're investing in. You're literally,
• 34:11
  Speaker 2: you're literally investing in your own slavery. I hope you
• 34:15
  Speaker 2: make a few dollars along the way.
• 34:17
  Speaker 1: And blackrocks are systems called the Ladin Did you know that?
• 34:22
  Speaker 2: Yes?
• 34:23
  Speaker 1: And it's used by the US Treasury and and the
• 34:27
  Speaker 1: Mineral Reserve.
• 34:31
  Speaker 2: Aladdin, Right, So what is it? Your money just flies
• 34:34
  Speaker 2: off on a magic carpet where the gold go. There's
• 34:37
  Speaker 2: absolutely no way we could we could ever get close
• 34:40
  Speaker 2: to using this amount of power. So someone else is
• 34:44
  Speaker 2: going to use it, and it'll be the big tech companies,
• 34:48
  Speaker 2: perhaps the government military purposes working hand in hand to
• 34:53
  Speaker 2: try and use this. And it's important to note like, hey,
• 34:56
  Speaker 2: like it's not over yet. They've just started building these things.
• 35:01
  Speaker 2: I think the biggest AI data center currently is either
• 35:04
  Speaker 2: open AI or Elon Musk's data center, and it's only
• 35:09
  Speaker 2: it's it's not even at one gigawatt yet, so it's
• 35:12
  Speaker 2: not to the amount of power they're using a million
• 35:15
  Speaker 2: homes worth of power. We're still at the beginning, but
• 35:17
  Speaker 2: you've got to know, like this is where they want
• 35:19
  Speaker 2: to go. They would like to use up all the
• 35:21
  Speaker 2: water and power for It's not going to be for
• 35:25
  Speaker 2: your benefit. It is going to be to surveil you.
• 35:27
  Speaker 2: And you are the one that's going to have to
• 35:29
  Speaker 2: pay the elevated power bills, which people are already complaining
• 35:33
  Speaker 2: in the US of their power bill tripling. You're going
• 35:37
  Speaker 2: to have to pay increased water bills and many parts
• 35:41
  Speaker 2: of the world now this is related to the un
• 35:43
  Speaker 2: water bankruptcy. You can get a fifty thousand dollars fine
• 35:47
  Speaker 2: if you water your house on the wrong day. Like this,
• 35:52
  Speaker 2: this is coming, This is coming, and like you were
• 35:55
  Speaker 2: staying earlier, the genies out of the bottle a little
• 35:57
  Speaker 2: bit and these these these people are going to push
• 36:02
  Speaker 2: this forward. So take this time to invest in where
• 36:07
  Speaker 2: you're going to live. I hope that it is a
• 36:09
  Speaker 2: place safe from the role out of data centers and
• 36:13
  Speaker 2: invest in your technology so that you don't have AI
• 36:17
  Speaker 2: peering into your life, so you don't become part of
• 36:19
  Speaker 2: the script.
• 36:21
  Speaker 1: When we talk about a data center, though, just realistically,
• 36:24
  Speaker 1: what are we talking about. Is it just a building
• 36:26
  Speaker 1: that looks like any other building or is it a
• 36:28
  Speaker 1: very specifically designed facility.
• 36:33
  Speaker 2: Yeah, these are warehouses that are millions of square feet
• 36:39
  Speaker 2: spanning hundreds of acres, and they have You would go
• 36:45
  Speaker 2: into it and depending on where you were at, you
• 36:48
  Speaker 2: might see the AI server racks. So these are boxes
• 36:52
  Speaker 2: about the size of a commercial fridge with a bunch
• 36:55
  Speaker 2: of AI chips in them, and they're all wired up
• 36:59
  Speaker 2: with continuous water supply, so water cooling. And then also
• 37:05
  Speaker 2: they're connected to every other AI server in the entire
• 37:10
  Speaker 2: building or in their area to create a fabric of
• 37:13
  Speaker 2: AI and this is how they can consume tons of data,
• 37:19
  Speaker 2: all all in one moment. So, yeah, you're essentially looking
• 37:23
  Speaker 2: at this giant warehouse filled with fridge like units. You're
• 37:27
  Speaker 2: also on these data center sites. How are you going
• 37:30
  Speaker 2: to power the things? Well, this is not something we
• 37:32
  Speaker 2: got to talk about, but many of the ASAI data
• 37:35
  Speaker 2: centers are building their own power. So we're talking about
• 37:40
  Speaker 2: nuclear plants, we're talking about natural gas plants. So it's
• 37:44
  Speaker 2: not just the electricity power. They're also going to be
• 37:47
  Speaker 2: using up the natural gas plant in Louisiana, Richland Parish.
• 37:52
  Speaker 2: You have Meta's new data center which is going to
• 37:55
  Speaker 2: be the size of Manhattan Island in New York City,
• 38:00
  Speaker 2: and they are building four new massive natural gas plants
• 38:05
  Speaker 2: to generate enough power for that area. So you're looking
• 38:09
  Speaker 2: at massive pollution. You're looking at you're looking at the
• 38:13
  Speaker 2: hell hazards involved with running gas turbines, which is kind
• 38:18
  Speaker 2: of the short term way they power these things. Air pollution,
• 38:23
  Speaker 2: this sound pollution. It's it's horrifying to live next to
• 38:27
  Speaker 2: one of these things. There's there's many horror stories you
• 38:30
  Speaker 2: can read, but essentially people are being kept up day
• 38:35
  Speaker 2: and night. Here we go. That's a good picture of
• 38:37
  Speaker 2: one on the back. Those look like the gas turbines.
• 38:42
  Speaker 2: So that's how these things are powered temporarily. And and yeah,
• 38:50
  Speaker 2: living next to one of these things is a light nightmare.
• 38:52
  Speaker 2: It's like it's like a loud vacuum cleaner is running
• 38:56
  Speaker 2: twenty four to seven. It'll drive you crazy, it'll drive
• 38:58
  Speaker 2: your pet's crazy. It'll scare away all the animals in
• 39:01
  Speaker 2: the area. It's very it's very anti life these data centers.
• 39:08
  Speaker 2: And I would like to say, we just finished a
• 39:11
  Speaker 2: day of action here in the United States where we
• 39:14
  Speaker 2: had events around the country raising awareness on data centers,
• 39:18
  Speaker 2: and some people like to joke around about well, yeah,
• 39:21
  Speaker 2: let's go, let's go sabotage it, and I just want
• 39:23
  Speaker 2: to say, like, don't do that. This is this is
• 39:26
  Speaker 2: nonviolent awareness that I'm looking to generate about these things,
• 39:30
  Speaker 2: Like you don't want to do that. If you if
• 39:33
  Speaker 2: you are on the side of truth, we need you
• 39:37
  Speaker 2: not behind bars. Right, that's it's it's not going to work.
• 39:41
  Speaker 2: I would say that the only way to push back
• 39:44
  Speaker 2: is to vote with your vallet and to not support
• 39:47
  Speaker 2: the companies that are building these things. And then too, yeah,
• 39:50
  Speaker 2: vote with your feet, move move away from these areas,
• 39:54
  Speaker 2: which is a lot easier said than done. But don't
• 39:57
  Speaker 2: support their buildouts, and we would be in a few years,
• 40:01
  Speaker 2: maybe twenty thirty twenty thirty two, no one is using
• 40:05
  Speaker 2: AI and they'll have to scrap these entire projects that
• 40:09
  Speaker 2: I mean, I think that's the best possible outcome for us.
• 40:12
  Speaker 1: Yes, what Simon Dixon said. The financial plumbing is a
• 40:16
  Speaker 1: covert CBDC central bank digital currency controlled by JP Morgan.
• 40:21
  Speaker 1: The data infrastructure for a global social credit scores built
• 40:25
  Speaker 1: and managed by Penetier and Elon Musk. The entire system
• 40:28
  Speaker 1: is managed as a single global portfolio by Black Rocks AI.
• 40:34
  Speaker 2: Right, Yeah, more and more of our world and the
• 40:36
  Speaker 2: mechanisms were supposedly being run by AI, and it's yeah,
• 40:44
  Speaker 2: it's not. It's like, I feel like these data centers
• 40:48
  Speaker 2: are really a way to signify the areas that are
• 40:54
  Speaker 2: not real life. This is not reality, this is a
• 40:57
  Speaker 2: fake world. And then maybe we could end with this
• 41:00
  Speaker 2: is I think a lot of people are being drawn
• 41:02
  Speaker 2: into this fake world and they appear to be using
• 41:07
  Speaker 2: AI to build out their dreams. And I'm not trying
• 41:10
  Speaker 2: to discourage anyone of that. But when you delegate all
• 41:14
  Speaker 2: your human creativity, your ability to write, your ability to draw,
• 41:20
  Speaker 2: your if you're not constantly working on these things and
• 41:23
  Speaker 2: you just give it away to AI to do it
• 41:25
  Speaker 2: for you, then that's one of the biggest dangers is
• 41:28
  Speaker 2: you've lost your ability to think and reason and remember
• 41:31
  Speaker 2: and research. These are all really important things. So on
• 41:35
  Speaker 2: the end of it. That could be another reason why
• 41:38
  Speaker 2: AI is so popular and being made so free. They're
• 41:41
  Speaker 2: trying to take human ingenuity.
• 41:44
  Speaker 1: So based on what we've been talking about, let me
• 41:47
  Speaker 1: just get this right. The CIA built the cloud, Palantea
• 41:54
  Speaker 1: knows your politics, black Rock is going to take your money,
• 42:02
  Speaker 1: and the World Economic Forum writes the script.
• 42:08
  Speaker 2: It surely seems that way.
• 42:10
  Speaker 1: I mean, what is it that we actually didn't want?
• 42:13
  Speaker 2: So yeah, I think if we stopped building AI data
• 42:16
  Speaker 2: centers now, I think would be okay. I don't think
• 42:19
  Speaker 2: the demand. I mean there's a lot of people using
• 42:22
  Speaker 2: it and localizing it, localizing it, which is something that
• 42:27
  Speaker 2: China's already done. I mean in China, there's more people
• 42:30
  Speaker 2: using AI than people using Internet in the United States.
• 42:34
  Speaker 2: So it can be done. It is being done, and
• 42:39
  Speaker 2: we don't need these massive data centers. We could stop
• 42:41
  Speaker 2: building them this very day. So what I would call
• 42:43
  Speaker 2: for is people getting involved in their local politics. And
• 42:47
  Speaker 2: I'm not a political person, but I think that this
• 42:50
  Speaker 2: issue is so important. You'd need to let your local
• 42:52
  Speaker 2: officials know that you're going to hold them accountable if
• 42:55
  Speaker 2: they give away your natural resources and destroy your environment.
• 42:59
  Speaker 2: You have to let them know they're on the hook
• 43:00
  Speaker 2: for that, and you can do a pause. You could
• 43:04
  Speaker 2: do a moratorium on county level data centers. Recently, states
• 43:10
  Speaker 2: are now starting to do that too. New York past
• 43:13
  Speaker 2: a moratorium on data centers. This is like a one
• 43:16
  Speaker 2: year pause. Texas has called for auditing any new data
• 43:20
  Speaker 2: centers because it was overloading their power grid. So this
• 43:23
  Speaker 2: is working like despite this battle is general is going
• 43:28
  Speaker 2: on in real time and you can make a difference.
• 43:30
  Speaker 2: You could kick out one of these data centers from
• 43:31
  Speaker 2: your area, but you have to be really tuned in
• 43:34
  Speaker 2: to what's happening at the local level, because they're not
• 43:36
  Speaker 2: going to give you an announcement. They're not going to say, oh,
• 43:39
  Speaker 2: Microsoft's building this giant data center here now. They're going
• 43:42
  Speaker 2: to be very secretive about it. They're going to use
• 43:44
  Speaker 2: shell companies, they're going to hide its existence. So you
• 43:48
  Speaker 2: have to become involved in your local community and your
• 43:51
  Speaker 2: local politics. As crappy as that is, that's what you
• 43:54
  Speaker 2: have to do.
• 43:55
  Speaker 1: Well. Just to add to the localization comment, I mean
• 43:59
  Speaker 1: you so it kindly sent me one of your beautiful
• 44:05
  Speaker 1: privacy orientated laptops. It runs Linux, your in variation of it,
• 44:10
  Speaker 1: and a local AI model.
• 44:16
  Speaker 2: That's right. Yeah, man, I'm really glad you're getting some
• 44:19
  Speaker 2: use out of it and you're getting having it called
• 44:23
  Speaker 2: beautiful with someone of your knowledge of aesthetics is such
• 44:28
  Speaker 2: a great compliment. So thank you, and yeah, this is
• 44:33
  Speaker 2: everything that we're seeing out there. This is our opportunity
• 44:36
  Speaker 2: to invert it and bring it closer to home and
• 44:39
  Speaker 2: bring the power closer to our laptops. So we have
• 44:44
  Speaker 2: a line of laptops called the Quantum series as a
• 44:48
  Speaker 2: Dream has been using that you can use. So if
• 44:51
  Speaker 2: you go to above phone dot com slash g r
• 44:53
  Speaker 2: r M, you'll see these laptops and they're built in
• 44:58
  Speaker 2: with a local GPU, So if you would like to
• 45:03
  Speaker 2: use local AI without any dependence to the cloud, you
• 45:07
  Speaker 2: can check this out.
• 45:09
  Speaker 1: So but hang on here, what if it needs to
• 45:11
  Speaker 1: be updated though?
• 45:14
  Speaker 2: Yeah, So that's the most beautiful part about our our
• 45:17
  Speaker 2: computers is that this is completely open source. These are
• 45:22
  Speaker 2: open source developers that are helping build the foundational software
• 45:27
  Speaker 2: and so you can update at any time. These laptops
• 45:30
  Speaker 2: you get continuous rolling updates, but they're not forced on
• 45:34
  Speaker 2: you like Windows. You can update if you want. But
• 45:38
  Speaker 2: the thing is is when you update, things don't get broken.
• 45:40
  Speaker 2: There's no random like AI features that show up, there's
• 45:44
  Speaker 2: no crappy features that show up. Your software literally gets
• 45:47
  Speaker 2: better every time you update. So we have we have
• 45:51
  Speaker 2: thousands of people using our Quantum series of notebooks, and
• 45:55
  Speaker 2: this is a really special product for us because it's
• 45:58
  Speaker 2: our first. It's our first I would say, like performance
• 46:01
  Speaker 2: level computer with with the local capability, and we have
• 46:06
  Speaker 2: made Linux extremely easy to use. So I'm sure you
• 46:11
  Speaker 2: know you've talked about Linux in the past. There's no
• 46:13
  Speaker 2: easier way to use it than our computers because there's
• 46:16
  Speaker 2: no terminal required. It's just point and click.
• 46:19
  Speaker 1: You say Linux, I say Linux. I'm going to argue
• 46:22
  Speaker 1: that I'm right. I'll tell you why. Because of the
• 46:24
  Speaker 1: man behind it.
• 46:27
  Speaker 2: Yeah, Linus Linus Torwaldz right line, Linux Linux.
• 46:31
  Speaker 1: You don't say Linux.
• 46:32
  Speaker 2: I think Linus Linus. I'm gonna start calling him Linus.
• 46:38
  Speaker 2: I think it's because you have a much you have
• 46:40
  Speaker 2: a much nicer sounding accent. It sounds cool when you
• 46:43
  Speaker 2: say Linux. It sounds very nice.
• 46:46
  Speaker 1: My accent is obviously a hybrid of the British and
• 46:51
  Speaker 1: the Dutch and the Germans and L's I can't ye
• 46:53
  Speaker 1: myn accent by the way can you Yeah, your accent.
• 46:57
  Speaker 2: I don't know whatever whatever this is, it's weird whatever
• 47:01
  Speaker 2: this sexon is. Yeah, somewhere somewhere in the middle, I get.
• 47:05
  Speaker 2: I get I get comments that it's from California or something,
• 47:09
  Speaker 2: which which I'm not.
• 47:10
  Speaker 1: Oh, you do sound California. Now that you mentioned, I
• 47:13
  Speaker 1: don't know the geography of the US that well, so
• 47:17
  Speaker 1: I could be completely wrong, but you do kind of
• 47:18
  Speaker 1: have that Californian twang.
• 47:22
  Speaker 2: Well, thanks, man, it's uh, it's it's it's good to
• 47:26
  Speaker 2: be I mean, this is all about this is all
• 47:29
  Speaker 2: about coming together. So like I moved here when I
• 47:31
  Speaker 2: was really young, and you know, Americans, I love them.
• 47:36
  Speaker 2: They they're very hospitable. I this is my home and
• 47:40
  Speaker 2: although originally I'm from another country, this is my obligation
• 47:44
  Speaker 2: is to the American people and making a better life
• 47:47
  Speaker 2: for us. So it's every everywhere you go, like the
• 47:50
  Speaker 2: people are the same. We want to work with each other.
• 47:52
  Speaker 2: Unfortunately we're dealing with some psychopathity problem.
• 47:55
  Speaker 1: This is a very good point. So I dunk on
• 47:58
  Speaker 1: the US quite a lot of my show, but I
• 48:00
  Speaker 1: think it's important sometimes just to clarify that I'm not
• 48:03
  Speaker 1: dunking on normal Americans. I'm dunking on you know, the elites,
• 48:09
  Speaker 1: the early goocks and the government. And I do the
• 48:12
  Speaker 1: same with my own country. You know, I have no
• 48:15
  Speaker 1: time for you know, our state infrastructure.
• 48:19
  Speaker 2: Yeah. Well yeah, it's about being you know, about being
• 48:23
  Speaker 2: skeptical and in your own decisions. And you know, I
• 48:26
  Speaker 2: think I think there's a place to make fun of
• 48:30
  Speaker 2: Americans who are still bought into the hook line and
• 48:33
  Speaker 2: sinker that politics at the highest levels is going to
• 48:37
  Speaker 2: save them, like, oh, okay, we got betrayed by Trump.
• 48:40
  Speaker 2: It's on to the next political party. Maybe Marjorie Taylor
• 48:44
  Speaker 2: Green and Tucker Carlson will save us. Sounds like no, no, no, no,
• 48:48
  Speaker 2: you know, you're not going to vote your way into freedom.
• 48:50
  Speaker 2: Freedom is a lived actually a good point.
• 48:54
  Speaker 1: Yeah, you can't vote harder.
• 48:59
  Speaker 2: Vote. Yeah, you're not going to vote your way out
• 49:02
  Speaker 2: of this one. And so you know, with this, going
• 49:05
  Speaker 2: back to this conversation, what I see coming up and
• 49:07
  Speaker 2: this is a real this is a very serious thing,
• 49:09
  Speaker 2: and I'm not trying to take us in a dark direction,
• 49:11
  Speaker 2: but it might be a struggle to deal with power,
• 49:17
  Speaker 2: Like your power bills could be so incredibly high, they
• 49:21
  Speaker 2: could be unaffordable. So what I would encourage people right
• 49:24
  Speaker 2: now is to start preparing for that and get into
• 49:27
  Speaker 2: power sovereignty, which Jeremy, you're you're in South Africa, like
• 49:31
  Speaker 2: I know, half of Africa is actually running their own
• 49:33
  Speaker 2: power grid. Yeah, we were a hit of you, way
• 49:38
  Speaker 2: way ahead of us. Like Americans don't know this is coming.
• 49:41
  Speaker 2: I think Europeans too should get on the stunt trip.
• 49:44
  Speaker 2: The second thing is the water, and going back earlier
• 49:48
  Speaker 2: to a conversation about you will know nothing and you'll
• 49:50
  Speaker 2: be happy. That sounds like you're going to go to
• 49:52
  Speaker 2: a fifteen minute city. But here's the thing, No one's
• 49:54
  Speaker 2: going to force you to move into the fifteen minute city.
• 49:57
  Speaker 2: You might only decide to do so when you're not
• 50:00
  Speaker 2: getting power and water wherever you're at you're living. You're like, ah,
• 50:04
  Speaker 2: let me just go down to the fifteen minute city
• 50:06
  Speaker 2: where the grass is green and the girls are pretty well.
• 50:14
  Speaker 1: As you said it, I thought, no, he's not gonna
• 50:16
  Speaker 1: go there.
• 50:19
  Speaker 2: I did, dude. Yeah, that's such a good line. I
• 50:22
  Speaker 2: won't say. You know this is going to break down
• 50:24
  Speaker 2: next year, but you know, our energy, our oil is
• 50:28
  Speaker 2: already breaking down. We're seeing that happen in real time,
• 50:31
  Speaker 2: and this is not that far away, maybe a year,
• 50:33
  Speaker 2: maybe two years, maybe less. So that's the message I
• 50:37
  Speaker 2: want to leave people with is to get activated in
• 50:40
  Speaker 2: their local community, use private technology, and not contribute back
• 50:45
  Speaker 2: to AI. And yeah, like I'm sure Jeram could do
• 50:48
  Speaker 2: an episode. I would love to, Actually, I would love
• 50:50
  Speaker 2: that if you did, like maybe like a paid episode
• 50:53
  Speaker 2: on how you'r a house is off grid? That'd be
• 50:55
  Speaker 2: so cool. I think people will get creative because, yeah,
• 50:58
  Speaker 2: I mean, the economy, we're we're all struggling. There's there's
• 51:02
  Speaker 2: no question about that. We're all feeling it right now.
• 51:04
  Speaker 2: And I think that people will get start to get
• 51:06
  Speaker 2: more creative about what they do. Maybe it's a few
• 51:09
  Speaker 2: different households getting together and co locating or putting their
• 51:13
  Speaker 2: money together to buy infrastructure. We really need to think
• 51:16
  Speaker 2: differently and if we're going, if we're gonna thrive through this.
• 51:20
  Speaker 1: Okay, hachem, How can I follow your work?
• 51:25
  Speaker 2: Yeah? If you're interested in the data center map we
• 51:27
  Speaker 2: looked at today, go to AI Data centermap dot org.
• 51:32
  Speaker 2: There is a two hundred and fifty page report. It's
• 51:35
  Speaker 2: the longest piece of content that I've ever written the
• 51:39
  Speaker 2: size of a short book. I did not use AI
• 51:42
  Speaker 2: to write it. There's an AI transparency section in the report,
• 51:45
  Speaker 2: so check it out. It tells you everything you need
• 51:48
  Speaker 2: to know about AI data centers, from the tax write
• 51:52
  Speaker 2: offs they're getting, to their legal process for getting involved,
• 51:56
  Speaker 2: and what happens to the environment. You can download that
• 51:59
  Speaker 2: for free at AI Data centermap dot org. You can
• 52:01
  Speaker 2: also see the map on the same page. Then, if
• 52:04
  Speaker 2: you're interested in getting a privacy product, you can go
• 52:08
  Speaker 2: to abovephone dot com slash j E r M, sign
• 52:14
  Speaker 2: up to our email list. There you'll be we'll have US,
• 52:17
  Speaker 2: we'll have from promotions. I think we also have a
• 52:20
  Speaker 2: discount code. Is that right? We'll just create one use
• 52:24
  Speaker 2: use coupon code GERM twenty five for twenty five dollars
• 52:28
  Speaker 2: off any device. You'll be supporting us, you'll be supporting
• 52:31
  Speaker 2: open source technology, and yeah, it's a win win.
• 52:35
  Speaker 1: So, Hakim, you said earlier that you didn't use AI
• 52:38
  Speaker 1: to help write your document, but so what if you did,
• 52:41
  Speaker 1: because as we discussed earlier, you wouldn't really be affecting
• 52:46
  Speaker 1: those huge data centers For me.
• 52:50
  Speaker 2: I mean, this is something I've thought.
• 52:52
  Speaker 1: And sorry, and you've got local AI, by the way,
• 52:54
  Speaker 1: on your machine.
• 52:57
  Speaker 2: I think. I think. I think for me, what it
• 53:01
  Speaker 2: is is that I need to have a connection with
• 53:04
  Speaker 2: my work and to be to be fair like, it's
• 53:06
  Speaker 2: not I'm not an AI. I'm not a purist. It's
• 53:09
  Speaker 2: not like I don't use AI for some things like
• 53:12
  Speaker 2: if I forgot a document, if I found this really
• 53:15
  Speaker 2: good resource and I can't find it anymore, I might
• 53:18
  Speaker 2: use AI to search it and get me the link.
• 53:21
  Speaker 2: But my workflow with it is very, very deliberate. I
• 53:24
  Speaker 2: use it to find primary sources. I read everything with
• 53:26
  Speaker 2: my own eyes, and I write it with my own words.
• 53:29
  Speaker 2: And that's why if you read the thing, you're gonna
• 53:31
  Speaker 2: you're gonna tell that it's written by human. It's not.
• 53:34
  Speaker 2: I'm still improving my writing, but but I find that
• 53:39
  Speaker 2: I have a like, I have a connection with the
• 53:41
  Speaker 2: topic and with the work, and that's why I can
• 53:43
  Speaker 2: come on and talk about it like like this. So
• 53:46
  Speaker 2: I think that we're heading into an age where people
• 53:49
  Speaker 2: are using AI and they're like like, oh yeah, like
• 53:52
  Speaker 2: build me this thing and it and it does it.
• 53:54
  Speaker 2: But that's not your thoughts, that's not your words, it's
• 53:57
  Speaker 2: not you it's hardly your idea. That's that's the So
• 54:01
  Speaker 2: for me, it's just I want to be in reality
• 54:03
  Speaker 2: with everything that I build.
• 54:06
  Speaker 1: Yeah, just to be clear, even though I do use
• 54:08
  Speaker 1: AI for spelling and grammar and image generation, I also
• 54:14
  Speaker 1: do a lot of hand drawn stuff and handwritten stuff.
• 54:18
  Speaker 1: I showed you before we were recording that I I
• 54:20
  Speaker 1: draw on paper with ink and watercolor. So there is that,
• 54:26
  Speaker 1: Oh I have, I have.
• 54:27
  Speaker 2: I mean, you're such a talented artist bro and writer
• 54:30
  Speaker 2: for that matter. I would say that I think the
• 54:33
  Speaker 2: trend which is I'm preparing to do this with my content,
• 54:37
  Speaker 2: but I'm just going to make like an AI transparency
• 54:40
  Speaker 2: like policy somewhere somewhere on it, just so it's like
• 54:43
  Speaker 2: really really clear, because it's okay, it's okay to use AI.
• 54:47
  Speaker 2: But I think that there's some creators right now that
• 54:51
  Speaker 2: are just doing everything with AI and they're like, this
• 54:55
  Speaker 2: is this is my thoughts, and I think it's a
• 54:57
  Speaker 2: little I think it's a disingenuous. So uh, it's it's
• 55:01
  Speaker 2: hard to know. It's hard to know you're dealing with
• 55:02
  Speaker 2: the human. So I love, I love hanging out with you.
• 55:05
  Speaker 2: I'm I'm so honored that I get to keep coming
• 55:08
  Speaker 2: back and chatting with you about this. These are really
• 55:10
  Speaker 2: important topics. We got to hang on to our humanity.
• 55:13
  Speaker 1: Hakey Manoir, thank you for joining me in the stranges.
• 55:17
  Speaker 2: Blessings, Treme, thank you,