Latest / UK Column Radio / Mathew Maavak on Why Those Trying to Control Us Are Not Smart | Jerm Warfare

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Mathew Maavak on Why Those Trying to Control Us Are Not Smart | Jerm Warfare · UK Column Radio

0:30
Speaker 1: My name is jerm.
0:31
Speaker 2: This is germ warfare, the battle of ideas. So I
0:35
Speaker 2: obviously use the whole Strencher's information war as a metaphor.
0:40
Speaker 2: But I mean we really are in an information warn't we.
0:44
Speaker 3: And not only that, I think like we are deep
0:46
Speaker 3: in the cesspool. I mean like there are days, I
0:51
Speaker 3: mean there have been too many days recently when I've
0:55
Speaker 3: woken up I've tried to scroll through news and.
1:00
Speaker 1: And like it's so depressing. It's like full of garbage,
1:04
Speaker 1: It's full of lies.
1:06
Speaker 3: You know, Like there was a time, like maybe like
1:09
Speaker 3: ten years ago, I could just the first website I
1:12
Speaker 3: would read up, you know, to you know, get hold
1:16
Speaker 3: of the latest happenings around the world would.
1:19
Speaker 1: Be zero Hitge.
1:21
Speaker 3: It used to be a well known website, you know,
1:23
Speaker 3: it was a news aggregator and so on. Ah, But
1:27
Speaker 3: I can't do that now, you know, Like there's just
1:30
Speaker 3: way too much disinformation, misinformation, propaganda. And I'm supposed to
1:35
Speaker 3: be an expert on propaganda as well, on top of my.
1:40
Speaker 1: Other expertise.
1:40
Speaker 3: You know, my professor at the University of Leeds was
1:45
Speaker 3: in charge of crafting NATO propaganda programs against the Soviet Union.
1:51
Speaker 3: At one time, you know, not just propaganda but psychological
1:55
Speaker 3: warfare and stuff like that. And he was sought by
1:58
Speaker 3: many militaries around the world. But if he was alive today.
2:04
Speaker 1: You know, I'll bet you he would want to go
2:06
Speaker 1: back to his carave, you know.
2:10
Speaker 3: Because it's so insane, you know, like imagine, you know,
2:14
Speaker 3: like you are just trying to get you know, the
2:16
Speaker 3: latest news. All you get is just garbage, and then
2:21
Speaker 3: you go to X, you know, like three years back,
2:24
Speaker 3: I mean right after you know, Elon Musk took over.
2:27
Speaker 1: X used to you know, produce a lot of uh.
2:31
Speaker 3: I mean, they used to generate or allow you know,
2:34
Speaker 3: like a certain germane information to pop up, you know,
2:38
Speaker 3: to to appear.
2:40
Speaker 1: Now it's just like it's basically French warfare.
2:44
Speaker 3: Which with people you're not trying pooh at each other,
2:47
Speaker 3: just like you know, like that festival in India, you know,
2:49
Speaker 3: like yeah, so yeah, it's it's quite depressing.
2:53
Speaker 2: And then you have to I deleted my X account,
2:59
Speaker 2: I deleted my EX account.
3:01
Speaker 1: I deleted mine as well. But sometimes like I use
3:05
Speaker 1: my I gotta throw.
3:06
Speaker 3: Away Google account, you know, Gmail account, and I use
3:11
Speaker 3: that to log in, and man, it's terrible. Now, you know,
3:14
Speaker 3: like it's like wading through you know, like one huge,
3:19
Speaker 3: one gigantic sewer pipe. Okay, and uh, you know, at
3:27
Speaker 3: one time, you know, the same can be said about
3:29
Speaker 3: conventional news at one time. But you know, there used
3:32
Speaker 3: to be a time when you could find a gold
3:35
Speaker 3: nugget here and there and and work on that. But
3:39
Speaker 3: no nowadays. No, So, like I think I have to
3:43
Speaker 3: resume novel writing. So I've decided that I'm gonna start
3:47
Speaker 3: on my second novel because when I wake up, I
3:50
Speaker 3: need to do something useful and reading news is something
3:54
Speaker 3: that just turns me catchatnic And believe me, like if
3:58
Speaker 3: I spend you know, like the first the first half
4:01
Speaker 3: an hour while I'm having my coffee and I'm scrolling
4:05
Speaker 3: for you know, what's you know, the latest developments out there. Uh,
4:10
Speaker 3: unless I find something useful, I tend to waste the
4:14
Speaker 3: entire morning. And that's how, you know, Like, I mean,
4:18
Speaker 3: that's how crushing it is.
4:20
Speaker 1: And I'm I'm so.
4:22
Speaker 3: Used to being cynical and skeptical and uh so these
4:28
Speaker 3: things should not bother me, but it is.
4:31
Speaker 2: It is, you know, like, yeah, what is your background?
4:36
Speaker 3: Well, I got a master's in communications from the in
4:41
Speaker 3: from the University of Leeds. Uh, I studied propaganda, cy
4:47
Speaker 3: war uh, psyops you know uh out there, as well
4:53
Speaker 3: as you know, general international communications. Uh.
4:57
Speaker 1: Then for my.
4:57
Speaker 3: PhD, I I specialize in a field called foreside. Foeside
5:05
Speaker 3: is the science of you know, like looking into the
5:07
Speaker 3: future and you try to triangulate the future using scientific means.
5:12
Speaker 3: And even there there's a lot of bullshit, you know,
5:15
Speaker 3: so called experts, they are fobbing off their New Age
5:19
Speaker 3: planetary cosmos, you know, paradigms, you know, like and foresight
5:26
Speaker 3: was actually developed by the British Army, I mean systematically,
5:30
Speaker 3: you know, like formulated by the British Army right before
5:35
Speaker 3: the Second World War. So it was a proper military science,
5:38
Speaker 3: intelligence based science. But the kind of foreside experts you
5:42
Speaker 3: have these days, just like they are just well the
5:47
Speaker 3: expertise is akin to Jeffrey Epstein's I guess you know,
5:52
Speaker 3: like it's it's totally fraudulent. And this is what worries
5:56
Speaker 3: me because we have a lot of frauds running the world.
6:00
Speaker 3: You know, their real expertise is para to be parasites,
6:05
Speaker 3: gigantic planetary parasites. And then the grunt work is done
6:10
Speaker 3: by someone else. So you can imagine that when people
6:16
Speaker 3: with ideas uh are are not allowed from you know, innovating,
6:25
Speaker 3: you can imagine like the cumulative effects will have on humanity,
6:30
Speaker 3: on international systems.
6:32
Speaker 1: Uh.
6:33
Speaker 3: You know, I'm gonna I'm expecting, you know, like our
6:35
Speaker 3: global you know, cyber systems to collapse, our global uh,
6:41
Speaker 3: you know, like anything that's digital to collapse sooner or
6:46
Speaker 3: later because we are not matching the right talent with
6:51
Speaker 3: the right tasks. You know, they've been like they've many
6:56
Speaker 3: of them, like for instance, like that's a tendency right
6:59
Speaker 3: now to fire all native uh. I mean you know
7:03
Speaker 3: American talents from the IT sector in the United States.
7:07
Speaker 3: I mean, and these are guys with you know, systems memory.
7:10
Speaker 3: They know how the systems work, and they have institutional
7:14
Speaker 3: memory as well. They know how the institutions work, you know,
7:18
Speaker 3: So supplianting them with Indian IT talents so to speak, Uh,
7:23
Speaker 3: it's not gonna work. It's gonna lead to a disaster.
7:26
Speaker 3: And I think it's deliberate. This is deliberately done. They
7:30
Speaker 3: want the global systems to crash because they cannot fix it,
7:35
Speaker 3: and they and so like and that was the I mean,
7:39
Speaker 3: like I'm rambling, but that was the uh, the the
7:45
Speaker 3: core plot of my first novel. Uh. There's a Satanic
7:50
Speaker 3: group of uh, you know, there's a Satanic cabbell, and
7:54
Speaker 3: they find that the global systems cannot you know, cannot
7:57
Speaker 3: be perpetuated anymore. They tried the pandemic route to depopulate
8:03
Speaker 3: the planet.
8:04
Speaker 1: It didn't work.
8:05
Speaker 3: The virus was not strong enough and the vaccines did
8:07
Speaker 3: not killing kill as many as they wanted either. So
8:13
Speaker 3: they they tried another track by taking down the global
8:17
Speaker 3: electricity sector or a cyber hacking and so on. What
8:21
Speaker 3: they didn't realize was someone else, you know, a master hacker,
8:25
Speaker 3: got to know of their plans. I mean he had
8:28
Speaker 3: access to their you know, like a secret communications and
8:30
Speaker 3: so on. So he started you know, like ah, subverting
8:35
Speaker 3: uh cyber grids and electricity grids that are that are
8:40
Speaker 3: most important to this you know cable you know the
8:43
Speaker 3: secret you know conclave and so like.
8:47
Speaker 1: So there's a war, secret war going on.
8:50
Speaker 3: They do not know what this guy's identity, and they
8:54
Speaker 3: end up appointing him to hit the what do they
8:56
Speaker 3: call that the enterprise unknowingly so that that and finally
9:02
Speaker 3: like that's a there's a series of you know, like
9:06
Speaker 3: a confluence of events and the plot fails, but it
9:09
Speaker 3: feels in a way that's quite dramatic. So I thought, like,
9:13
Speaker 3: I did a good job on that. And now I
9:17
Speaker 3: was thinking, you know, like, is there another way they
9:19
Speaker 3: can bring down the global system? Yes, so I'm gonna
9:22
Speaker 3: I'm working on my second novel based on that that motive.
9:26
Speaker 2: But if you, uh so, your substacle was called the
9:29
Speaker 2: eye opener, and your tagline is connecting the end times dots?
9:36
Speaker 2: What dots have you have you connected?
9:39
Speaker 1: Well? Where do I start? I mean you you you
9:44
Speaker 1: have to.
9:46
Speaker 3: You have to point a dot and then ask me,
9:49
Speaker 3: you know, start from you. Okay, is it like is
9:54
Speaker 3: it like a financial Does it have to do it
9:57
Speaker 3: national biometrics or I D Or does it have to
10:01
Speaker 3: do with food security?
10:02
Speaker 2: Have you found that a lot of people around you
10:05
Speaker 2: have forgotten that they were locked down? Life has almost
10:09
Speaker 2: returned to how it was.
10:11
Speaker 1: Yeah, yeah, I think they do have.
10:15
Speaker 3: I mean they are constantly reminded, in my opinion, they
10:19
Speaker 3: are constantly reminded of the fact that they've been fooled
10:23
Speaker 3: by this Corona psychosis. Now I wish I had coined
10:26
Speaker 3: the term, but it was a Belarusian president Lukashenko who coined.
10:30
Speaker 1: The term beautiful term. And they've been conned.
10:35
Speaker 3: And and they don't want to face up to the
10:40
Speaker 3: fact that their lives may just may or be hanging
10:46
Speaker 3: on a tread because we i mean, the number of
10:49
Speaker 3: sudden and unexpected that has not abated. It's still going on,
10:55
Speaker 3: not at a scale I guess like that the you
10:59
Speaker 3: know powers behind the scenes, you know, like envisage, but
11:03
Speaker 3: it's still they all like going on, you know, like you.
11:06
Speaker 1: Still not come across cases.
11:08
Speaker 3: You know, young men athletic doesn't have bad habits, sunny
11:12
Speaker 3: dropping dead, you know, or doctors, young doctors.
11:18
Speaker 2: So yeah, so something I noticed about the covid era
11:24
Speaker 2: is that people like David Iichen and others like to
11:29
Speaker 2: talk about, you know, the global elite, all those right
11:32
Speaker 2: at the top of the permit being immensely powerful and smart.
11:37
Speaker 2: But the covid era showed. The cod Era showed that
11:40
Speaker 2: they're not all that smart because the attempts didn't work.
11:44
Speaker 1: Yeah, that's that was what that was my.
11:49
Speaker 3: I mean, I've been on two previous podcasts and that
11:52
Speaker 3: was my team. These guys are not smart and they
11:56
Speaker 3: do not how they do not have the capacity to
12:00
Speaker 3: prop up global systems as well as your diabolical plants.
12:05
Speaker 1: I mean, if you want to, you know, if you
12:07
Speaker 1: want to execute.
12:09
Speaker 3: Uh a seriously twisted plot, make sure you have the
12:14
Speaker 3: brains behind it. And they don't have it. I mean
12:20
Speaker 3: it's no. I mean just look at the Jeffrey Epstein circles.
12:24
Speaker 3: Have you found a more, a bigger, you know, a
12:28
Speaker 3: grouping of retarts anywhere on this planet.
12:31
Speaker 1: No.
12:32
Speaker 3: I mean they're evil to the they are evil to
12:36
Speaker 3: the call a great.
12:38
Speaker 1: But are they are they like diabolic?
12:41
Speaker 3: I mean, can they be described as diabolical geniuses?
12:44
Speaker 1: No, They're just retards. It's I'll give you, I'll give
12:53
Speaker 1: you an example.
12:53
Speaker 3: Okay, Uh, I'm not sure this is This was said
12:58
Speaker 3: in context of this Boying seventy seven Max uh. You know,
13:03
Speaker 3: uh fiasco or the F thirty five fighter jet project.
13:09
Speaker 3: I think it's F thirty five and we uh an
13:12
Speaker 3: expert on this matter. I think his name is Excel.
13:16
Speaker 1: Uh.
13:16
Speaker 3: He said like, uh, this is a this is a
13:19
Speaker 3: project designed by clowns and uh and engineered by idiots
13:24
Speaker 3: or something. So you know, like, uh, that's pretty much
13:27
Speaker 3: a metaphor for our times. But at least, you know,
13:30
Speaker 3: the F thirty five can fly. And it was you know,
13:33
Speaker 3: like the project was and we searched about you know,
13:35
Speaker 3: like twenty years ago, I guess two decades ago, you know.
13:39
Speaker 3: But no, the current global systems, though it cannot work,
13:44
Speaker 3: they just okay, the world has become very complex and
13:47
Speaker 3: this and complexity is uh, you know, like uh complex
13:54
Speaker 3: complexity sciences UH are completely ignored, have been completely ignored,
14:01
Speaker 3: fatally ignored by the current generation of planners. Governance has
14:05
Speaker 3: become complex, but you don't have you know, governance experts
14:12
Speaker 3: who also who can also navigate through complexity. And if
14:15
Speaker 3: you try doing that in all like, you would be
14:18
Speaker 3: considered the unfound terrible ay by you know, the powers
14:23
Speaker 3: that be. Because like a UH, I when I was
14:26
Speaker 3: working for the when I was consulting for the National
14:30
Speaker 3: Artficial Intelligence MAPE and Malaysia, I came up with an
14:35
Speaker 3: integrated governance framework that incorporate AI. Now it's a simple framework.
14:42
Speaker 1: And yet you all like uh uh.
14:45
Speaker 3: Initially, the the uh, the response is favorable, you know,
14:51
Speaker 3: the UH. Many senior members of the project liked it.
14:56
Speaker 3: And then Microsoft entered the room and Microsoft enters the room.
15:02
Speaker 3: They would want, you know, if they would want you know,
15:05
Speaker 3: your government, you know, your entire government digital infrastructure to
15:11
Speaker 3: be handled by them and them alone. They wouldn't want
15:14
Speaker 3: you know, like a you know, like any sovereign digital
15:19
Speaker 3: governance initiative. You know, it's not in America's interests. It's
15:24
Speaker 3: not in Microsoft's interests either, and not just Microsoft, you know,
15:28
Speaker 3: Amazon does the same thing as well. Uh And that's
15:31
Speaker 3: why you have countries like China and Japan, you know,
15:36
Speaker 3: still being stable. You know, while the rest of the
15:39
Speaker 3: world is in chaos. China and Japan just has to
15:42
Speaker 3: grapple with few problems. And that would be you know,
15:46
Speaker 3: like an aging population, which is actually not too bad
15:49
Speaker 3: considering the fact that I mean, like yeah, considering the
15:54
Speaker 3: fact that the world is hidded to the crappers. An
15:59
Speaker 3: aging popular, which is a long term problem, will be
16:02
Speaker 3: the last last of your worries, you know.
16:05
Speaker 1: Uh.
16:07
Speaker 3: So, these countries like China, South Korea, Japan, Taiwan, they
16:12
Speaker 3: are relatively stable, and they also have a sense of foresight.
16:16
Speaker 3: They also know how to grapple with complexity. The rest
16:20
Speaker 3: of the world, you know, like they're just kicking the
16:22
Speaker 3: can down the road and hoping for a better tomorrow.
16:25
Speaker 3: And I can tell you, like there are many things
16:28
Speaker 3: get that can just topple the house of cards that
16:32
Speaker 3: is that constitutes our global systems. One obviously would be
16:36
Speaker 3: the h the military build up in the Persian Gulf. Now,
16:42
Speaker 3: is Trump really you know, going to attack Iran and
16:46
Speaker 3: send the global economy to grappers.
16:48
Speaker 1: He will do so for two reasons.
16:50
Speaker 3: One, the United States cannot fix his own economy all
16:53
Speaker 3: the long, long term. What they're getting is, you know,
16:56
Speaker 3: like in economic terms, they're injecting themselves with steroids. But
17:01
Speaker 3: just like the human body, it doesn't limit to how
17:03
Speaker 3: much how much steroids you can inject inside you, because
17:06
Speaker 3: you know, like too much and you'll die. So and
17:10
Speaker 3: the second reasons again, you know, it comes to the
17:12
Speaker 3: Epstein fowls. And here I will I have to ask you,
17:16
Speaker 3: you know, I have to ask your opinion. Why do
17:18
Speaker 3: you think there's a sudden surge in discussion about the
17:24
Speaker 3: Epstein fowls. I mean, I've come across some very damning
17:29
Speaker 3: YouTube videos recently, you.
17:31
Speaker 1: Know, and I would have thought like these videos.
17:35
Speaker 3: Would have been banned, you know if they came out
17:38
Speaker 3: at one time. But no, you know, it's whole wholesale,
17:42
Speaker 3: you know, like I've come across podcasters whom I have
17:45
Speaker 3: not heard of, you know, at one time, you know,
17:47
Speaker 3: getting like one hundred to two hundred thousand hits of
17:50
Speaker 3: views within a day, you know, by discussing things about
17:54
Speaker 3: Epstein fowls. So I think it's the leaks and the
17:58
Speaker 3: discussions are delibered, They are dil sorry, they have delivery,
18:04
Speaker 3: allowed it to faster and faster. Uh And and I
18:11
Speaker 3: can only see that are three possible outcomes or three
18:14
Speaker 3: possible reasons behind it. They have to crash the global systems,
18:19
Speaker 3: one through any variety of ways. Second, maybe God God
18:24
Speaker 3: is taking you know, like taking control of uh of
18:28
Speaker 3: you know, he of God is intervening and he's exposing
18:32
Speaker 3: this uh evil you know, like a diabolical maniacs for
18:37
Speaker 3: what they are. Third, the Antichrist is making his advent,
18:43
Speaker 3: and uh so he'll have to get rid of uh
18:47
Speaker 3: you know, like uh those those who paved the way
18:52
Speaker 3: for him, but who are no longer useful.
18:54
Speaker 1: So you pick. You can't pick any of these the three.
18:59
Speaker 3: You can you can start with their scientific approach, you know,
19:02
Speaker 3: like the global systems. Uh, you know, uh, destined, they're
19:07
Speaker 3: collapsing the global system.
19:10
Speaker 1: And then you'll find.
19:11
Speaker 3: That maybe all three, all three you know, like a
19:13
Speaker 3: causative reasons are converging, because they don't, they don't really
19:17
Speaker 3: what do you call that contradict each other at least
19:19
Speaker 3: you know, if you have both a scientific perspective and
19:23
Speaker 3: a biblical perspective.
19:24
Speaker 1: So that's how I see it.
19:25
Speaker 3: Because there's no way they I mean, but let me
19:28
Speaker 3: tell you there's there's no there's no way, there's no
19:31
Speaker 3: way they couldn't have you know, killed a few reporters
19:36
Speaker 3: and a few in all like you all like honors,
19:39
Speaker 3: you know, like investigators at FBI and just Bury, you know,
19:43
Speaker 3: or indefinitely postpone the Epstein really Epstein files. I'll tell
19:48
Speaker 3: you one thing, like I think it was what's her name, Uh,
19:54
Speaker 3: Theresa May, the Prime Minister Britain who you know, like
19:58
Speaker 3: who quite umber of years ago, pledge to investigate all cases,
20:05
Speaker 3: all allegations of pedophilia and the government going back to
20:08
Speaker 3: nineteen forty five. Nineteen forty five. Okay, now have you
20:14
Speaker 3: heard of that?
20:17
Speaker 1: Have you heard of that? Yeah?
20:20
Speaker 3: That that that's that remains me. That remains my radar.
20:24
Speaker 3: And I think a lot of people have forgotten about it.
20:27
Speaker 2: The thing with Epstein what blows my mind is over
20:32
Speaker 2: two thousand emails from him are from a Gmail address.
20:37
Speaker 2: What top tier crime, organized crime syndicate is going to
20:41
Speaker 2: use Gmail?
20:43
Speaker 4: That's the thing, you know, That's the thing.
20:48
Speaker 1: It's ridiculous.
20:50
Speaker 2: Yeah, can anybody take that seriously?
20:53
Speaker 4: You know, I never used Gmail for that purpose. It's
20:57
Speaker 4: like a throwaway a for me.
21:00
Speaker 1: I don't even I'm not even sure I know the
21:02
Speaker 1: passwords or some of them.
21:05
Speaker 2: We're going to organize, you know, a pedophile ring, like
21:08
Speaker 2: an international cartel, and we're going to use Gmail.
21:12
Speaker 4: Yeah, and someone in India get access it. I mean,
21:20
Speaker 4: like it's it's the most ridiculous thing that that.
21:24
Speaker 1: That's it. I just do not know where to start.
21:27
Speaker 1: You know.
21:28
Speaker 2: The only, the only, the only, the only conclusion I
21:31
Speaker 2: can make from that is that Epstein was an intelligence
21:39
Speaker 2: asset and Gmail, which is on my Google is also
21:42
Speaker 2: part of the intelligence community.
21:45
Speaker 3: Yeah, but you should also realize, I mean that Google
21:52
Speaker 3: is stuffed by a multinational task force. I mean multinational,
21:57
Speaker 3: you know, like a workforce, So anyone but you know,
22:03
Speaker 3: the right expertise and the right excess clearest level, I
22:07
Speaker 3: mean clearest level.
22:08
Speaker 1: Can just you know, like a do a routine sweep
22:13
Speaker 1: in just a routine sweep.
22:14
Speaker 3: You know under whatever you all like a gaming exercise
22:17
Speaker 3: they have and stumble upon this, you know, and it
22:21
Speaker 3: can even happen by accident, you know. And his email
22:25
Speaker 3: was g vacation, so like you know, you're told you know,
22:28
Speaker 3: like you know, like I mean like it's like, I mean,
22:34
Speaker 3: I don't know where to start it. It's it's so
22:36
Speaker 3: generic g vacation. He's using Gmail, and uh, Google is no.
22:44
Speaker 3: Google has got you all like a global workforce, and
22:50
Speaker 3: you're not worried that the Russians and the Chinese can
22:52
Speaker 3: you know, like just hacking to that system.
22:55
Speaker 1: I mean it's Google. That that good, you know, that impregnable.
23:00
Speaker 2: The other way, looking at a sybody that nobody's monitoring
23:02
Speaker 2: the emails, which I highly dit.
23:04
Speaker 3: I know that that's impossible. I mean, the NSSA does
23:09
Speaker 3: routine sweeps of all this stuff. The NSA would know
23:13
Speaker 3: what's going on.
23:14
Speaker 1: It is to our job to know, you know.
23:17
Speaker 3: And since you know, like I mean, there was a
23:20
Speaker 3: law in fact, like I forget what Lloyd it is
23:24
Speaker 3: that prevents the NSA from from eaves dropping on Americans.
23:28
Speaker 1: So is it the CIA?
23:29
Speaker 3: I'm not sure, But those safeguards, you know, uh kind
23:34
Speaker 3: of blurred after the advent of the Internet. You know
23:39
Speaker 3: because like a where does the where does the Internet
23:42
Speaker 3: border stop? You know, it is borderless. Like suppose you know,
23:46
Speaker 3: he's sending an email to Peter Mandelssohn. Now they can
23:50
Speaker 3: spy on Mandelssohn you know, in the UK, but at
23:53
Speaker 3: the same time, you know, they're also reading you know,
23:57
Speaker 3: Epstein's emails.
23:58
Speaker 1: So I.
24:00
Speaker 3: Mean, like, couldn't they have used a dedicated server based
24:05
Speaker 3: on you know, like I mean, Epstein has all the
24:09
Speaker 3: money in the world, so like he could have you know,
24:11
Speaker 3: just bought uh you know, like a particular server and
24:15
Speaker 3: you know, like he had access to the best you know,
24:18
Speaker 3: like it talents in the world wire you know, like
24:22
Speaker 3: his connections with the you know, big dech oligarchy. But
24:28
Speaker 3: it sounds ridiculous, but there's another explanation. A lot of
24:34
Speaker 3: these people think they can just literally get away with murder,
24:37
Speaker 3: and they have done. So I mean, like, how many
24:40
Speaker 3: times have you heard of the Clinton body count?
24:46
Speaker 1: You know, how many times have you heard and were
24:48
Speaker 1: there any actions? No, you know, you know, you know, like.
24:52
Speaker 3: Nothing like you know, like it just it just fell
24:56
Speaker 3: into a rabbit hole and nothing has been done about it.
24:59
Speaker 3: You know, we keep mentioning names like set Rich, but
25:03
Speaker 3: you know, like no investigations so far.
25:06
Speaker 2: And and the other thing is the two guys who
25:10
Speaker 2: are controlling the release of the quote unquote the release
25:13
Speaker 2: of the documents of the emails. Right, what's the names. Uh,
25:18
Speaker 2: it's Darren in Dyke and Richard Kahn or something. They
25:24
Speaker 2: helped Epstein back in the day, and they're they're now
25:27
Speaker 2: helping with the release of the documents. That's that's like asking.
25:31
Speaker 2: That's like asking. That's like asking Pfizer to investigate its
25:35
Speaker 2: vaccines for safety.
25:40
Speaker 3: I've come across so many incense its stuff like those
25:44
Speaker 3: you know, the fox being asked to God the headhouse,
25:48
Speaker 3: and it's it's so overwhelming. And when it comes to
25:52
Speaker 3: the Epstein files, I don't doubt that. I mean, we
25:56
Speaker 3: all know he's a parophile. We all knew that there
26:00
Speaker 3: was a band global you know, trafficking, trafficking, you know,
26:06
Speaker 3: operation of children and so on. Uh, you know, millions
26:10
Speaker 3: of children go missing each year. Nothing is being done,
26:13
Speaker 3: nothing is being investigated. I mean, there would be you know,
26:15
Speaker 3: they ought mentioned here and there the press.
26:18
Speaker 1: But that's about it. Uh.
26:22
Speaker 2: But I've got I've got two books by I've got
26:26
Speaker 2: two books by Whitney Webb on on Epstein. I don't
26:29
Speaker 2: know where they are right now. They are incredible.
26:33
Speaker 3: No, but does she explain why he used Gmail? No,
26:41
Speaker 3: that's a fundamental question. Come on, does she explain why
26:47
Speaker 3: you use Gmail? If you can't explain that to me,
26:49
Speaker 3: I don't want to read your book.
26:58
Speaker 2: Gmail is just sorry. Well, come on, they could have
27:01
Speaker 2: at least used hotmail.
27:11
Speaker 3: Look, this guy is ancess access to billions. And remember
27:16
Speaker 3: Hillary had a private server. You remember that part. Hillary
27:22
Speaker 3: Clinton kept a private server, and that was a big scandal.
27:25
Speaker 3: But at least, you know, she took pains to hide
27:29
Speaker 3: some of her communications.
27:30
Speaker 1: And that just shows that someone who's.
27:34
Speaker 3: You or maybe not as rich as Epstein, you know, like,
27:39
Speaker 3: let's let's just hypothetically say she's not as connected or okay,
27:45
Speaker 3: let's let's say.
27:46
Speaker 1: Like a, uh.
27:50
Speaker 3: She has to be more careful, you know, in being
27:52
Speaker 3: seen with certain people, unlike Epstein. But still she had
27:56
Speaker 3: the sense to have a private server. This guy, you know,
28:00
Speaker 3: could have built you know, and he could have bought
28:03
Speaker 3: another island, you know, and used that as a server farm.
28:08
Speaker 3: And I think like he owned another island as well.
28:11
Speaker 3: I think there's an adjacent rock or something like that
28:13
Speaker 3: that he owned. But anyway, like he could have built want,
28:16
Speaker 3: you know, like a right on Saint James Island, little
28:18
Speaker 3: Saint James Island. It does not make sense. Anyone who
28:22
Speaker 3: tells me they know a lot about this stuff should
28:25
Speaker 3: start with why is he using Gmail?
28:28
Speaker 1: And why and.
28:32
Speaker 3: Why are they using non encrypted communications? You think like
28:38
Speaker 3: in the age of AI, you know, they could have
28:42
Speaker 3: just you know, like a feed all these documents, you know,
28:45
Speaker 3: and then you know, like a place parameters, auditing parameters
28:50
Speaker 3: and shifted out what they could release and so on.
28:53
Speaker 3: There's so many ways of doing this, you know. It
28:55
Speaker 3: could uh very sophistic I mean very well planned, soft, whisticated,
29:00
Speaker 3: well designed, you know, like algorithm can do it. I guess,
29:04
Speaker 3: like can a matter of a few hours at max.
29:08
Speaker 3: Maybe it'll take a few days, you know, like if
29:10
Speaker 3: it's if it needs you know, constant human curation.
29:15
Speaker 1: Uh, but that's the maximum.
29:17
Speaker 3: Uh. These guys do know what's going on, you know,
29:20
Speaker 3: like they really really do not know what's going on?
29:24
Speaker 3: So I said the world is read by retards. Yeah,
29:27
Speaker 3: they may be diabolical. And I want to know, like
29:31
Speaker 3: what what does Whitney? What's the nam again?
29:36
Speaker 1: You okay? Yeah, I I I.
29:39
Speaker 3: Think I watched one or two of a podcast before
29:44
Speaker 3: one of the I know, like appearances.
29:47
Speaker 1: Uh.
29:49
Speaker 3: I would like to know, you know, like a yeah,
29:53
Speaker 3: you know, like uh, you know how she sees these things?
30:00
Speaker 3: You know, like she made a prediction that the WEF.
30:04
Speaker 3: I think she was the one who made a prediction
30:06
Speaker 3: that the WEF was preparing was on the words of
30:11
Speaker 3: executing a major cyber you know, pandemic into twenty twenty
30:17
Speaker 3: four which didn't pan out. And again, you know, here's
30:20
Speaker 3: where you are. You know, trying to predict certain things
30:27
Speaker 3: with a degree of certitude is a flaw one should avoid.
30:32
Speaker 3: Now you know, bad things, you know, bad thing's going
30:35
Speaker 3: to happen.
30:36
Speaker 1: You know that.
30:37
Speaker 3: You know that in the high impact, highlightliqu quadront, you
30:43
Speaker 3: know you can plot you know, like okay, like a
30:46
Speaker 3: there could be a pandemic, you know beginning next year,
30:49
Speaker 3: there could be a you know, major cyber takedown. They
30:53
Speaker 3: could have a major falls flag even yes, you know.
30:58
Speaker 1: All these things can happen, but do not time it.
31:02
Speaker 3: Do not say you know it's likely, you know, like
31:04
Speaker 3: a they're planning it for twenty twenty seven. No, you know,
31:08
Speaker 3: like that's that's one thing you should avoid. And that's why,
31:12
Speaker 3: like I really didn't watch, you know, like any of
31:15
Speaker 3: you know, subsequent shows, because like when you say it
31:19
Speaker 3: with a degree of certainty, it makes me suspicious. It
31:23
Speaker 3: reminds me of another guy, Robert David Steele. Have you
31:26
Speaker 3: heard of him? Yes? Yeah, he I think was behind
31:33
Speaker 3: qan on and I've actually watched him on LinkedIn and
31:39
Speaker 3: what he call it corresponded with him. I think he
31:41
Speaker 3: was a disinformation agent. True and true. He would say,
31:46
Speaker 3: you know, or next week, you know, like we're gonna
31:49
Speaker 3: you know, I know someone in Washington. I got it
31:51
Speaker 3: on you know, like have it on authority. You know,
31:55
Speaker 3: he's gonna expose Obama. It reminds me of the cult
31:59
Speaker 3: of what's that guy? Uh, he was in charge of
32:03
Speaker 3: the Executive Intelligence Review? Have you heard of the Executive
32:08
Speaker 3: Intelligence Review? Well, he would come up with his his
32:14
Speaker 3: acolytes would he was he was basically running a conspiracy cult,
32:21
Speaker 3: and his acolytes would confidently you know, appear at a
32:25
Speaker 3: conference and tell you that by this time next week
32:30
Speaker 3: Obama is going to be arrested and stuff like that,
32:35
Speaker 3: and and and wo be to the person who invited
32:40
Speaker 3: that guy. Okay, his name is Lyndon LaRouche. So okay,
32:46
Speaker 3: like give me a rundown. Like what does Whitney Web
32:49
Speaker 3: exactly say?
32:51
Speaker 1: You know?
32:52
Speaker 3: Uh?
32:54
Speaker 2: So her work is mostly her work is centered largely
33:00
Speaker 2: on how he came to be Epstein. Uh and and
33:06
Speaker 2: more more about actually the frameworks that created him. So
33:10
Speaker 2: in theory, he was a placeholder. He could have been
33:13
Speaker 2: anybody in a way, he was selected. Did that make sense?
33:17
Speaker 4: Yeah?
33:17
Speaker 3: I mean, like that's common sense, isn't it. I mean,
33:20
Speaker 3: like it's either Epstein or someone else. He just happens
33:24
Speaker 3: to be around. And there are little Epstein's all over
33:28
Speaker 3: the world, for instance, like a I know two little
33:30
Speaker 3: abstince here in Malaysia. You know, they have fixers, their connectors,
33:35
Speaker 3: you know, they they are the link between people who
33:38
Speaker 3: cannot meet face face to face. You know, like they
33:42
Speaker 3: are the link between the politicians and the underworld. They
33:45
Speaker 3: shuffle money between and know, from the underworld to politicians,
33:50
Speaker 3: and between corporations and politicians. And so on, and they
33:54
Speaker 3: get a good cut. And I guess like one way
34:00
Speaker 3: to prevent them from sunnay turning, you know, uh, turning
34:04
Speaker 3: into angels will be to implicate them in something so
34:10
Speaker 3: dustardly and.
34:12
Speaker 1: You know, like I mean like if they were.
34:15
Speaker 3: Implicating money laundering, so what you know, like uh, you know,
34:18
Speaker 3: like it's it's not as scandalous as h it once was,
34:23
Speaker 3: you know, if they were implicated in uh, let's say
34:27
Speaker 3: like uh, you know, like common crimes, so what you know, like, uh,
34:33
Speaker 3: none of us are perfect in the first place, but
34:36
Speaker 3: there are some things that are so ignoble, so approprious,
34:41
Speaker 3: and uh you know, and that would involve children, So
34:46
Speaker 3: they have to you know, like uh, they have to
34:49
Speaker 3: you know, like a playball.
34:51
Speaker 2: One of your strengths is a I how do you
34:56
Speaker 2: see that playing out? With regards to Epstein and of
34:59
Speaker 2: course our technocratic Agenda twenty thirty, nineteen eighty four future.
35:05
Speaker 3: Well, in all that's Israeli scientists called Pearl. I think
35:12
Speaker 3: his name full name is Juoda Pearl, and he happens
35:14
Speaker 3: to be Daniel Pearl's father. You know, Daniel Pearl, the
35:17
Speaker 3: guy who was beheaded in Pakistan. He was a Wall
35:22
Speaker 3: Street Journals, you know, reporter. He went to Pakistan to
35:27
Speaker 3: visit this supposed terrorist supremore. He got behated instead, and
35:31
Speaker 3: it was quite gruesome. I think I saw a bit
35:34
Speaker 3: of the you know, the unedited part of the video. Anyway,
35:39
Speaker 3: Like he says there are three types of articial intelligence,
35:43
Speaker 3: and he's right in that respect. One is associative. I
35:48
Speaker 3: think it's called associative. Basically, the AI we have is
35:53
Speaker 3: one based on predicting the next text, you know, one
36:00
Speaker 3: text after another. So basically it's synthesizing you all common
36:05
Speaker 3: human responses into more intell, intelligent and uh you know,
36:11
Speaker 3: like freeo grammatical mistakes and so on, into a more
36:14
Speaker 3: current and intelligent uh you know synopsis. I don't see AI,
36:21
Speaker 3: but the kind of people leading the AI will I.
36:25
Speaker 3: I don't see AI being the uh you know, like
36:29
Speaker 3: uh being the uh the sinister you know, like uh
36:37
Speaker 3: all seeing I that it could have been again, AI
36:42
Speaker 3: is being run by morons. And it's a theory of
36:46
Speaker 3: mine that the quality the quality of AI will actually
36:50
Speaker 3: deteriorate over time because AI is dependent on our responses,
36:56
Speaker 3: you know, unless they have completely compartment lies the responses
37:01
Speaker 3: of certain people they've identified. Okay, you know Jeremy, you know,
37:05
Speaker 3: he's asking some very pointed questions and he's uh even
37:09
Speaker 3: pointed out you know, mistakes in my replies. I mean
37:12
Speaker 3: I'm let's say, i'm chat GPT, and then I placed
37:16
Speaker 3: you in a separate category, this top tier category. Okay,
37:20
Speaker 3: so like, uh, we'll have to you know, be more
37:22
Speaker 3: intelligent with the sky. We base our training, our top
37:25
Speaker 3: tier training on this guy, whereas.
37:27
Speaker 1: For the rest, you know, like they'll just kip them
37:30
Speaker 1: anything they want that is possible.
37:34
Speaker 3: That is something like I brought up with RT during
37:38
Speaker 3: an interview, you know RT the Right Russia Today dot
37:41
Speaker 3: com and uh, but even then, I doubt that it's
37:47
Speaker 3: it's it's it's panning out that well because even today,
37:50
Speaker 3: like when I was asking, you know, chat GPT, certain
37:53
Speaker 3: things about uh, you know, like the uh about West
38:04
Speaker 3: Asian Christians, you know, those who are applied the maritime
38:09
Speaker 3: silk root from you know, like from from ancient back
38:13
Speaker 3: then all the way to China. I mean, this is
38:16
Speaker 3: well document documented. Then I I asked chat GPT, what
38:22
Speaker 3: would this person I gave, you know, like this is
38:26
Speaker 3: a possible plot in my third novel, I haven't written
38:29
Speaker 3: my second novel yet, I'm already thinking of my third novel. So,
38:33
Speaker 3: like I asked, chat chpt, you know, like, how would
38:36
Speaker 3: this guy be called in the vernacular in this particular spot.
38:41
Speaker 3: And I know a bit about the language where, you know,
38:45
Speaker 3: like I mean, where that guy is based. I mean,
38:50
Speaker 3: this is a fictional you know, setting, but it has
38:53
Speaker 3: to be grounded in historical facts.
38:56
Speaker 1: And chat ChiPT.
38:57
Speaker 3: Gave me a term which I knew was comp completely wrong.
39:01
Speaker 3: It was the complete opposite of how he would be termed.
39:07
Speaker 3: For instance, the term he, you know, the enduring term
39:12
Speaker 3: that chat Chip is generated for me.
39:15
Speaker 1: Uh is a term used for.
39:17
Speaker 3: African slaves, whereas this guy is a West Asian, a
39:21
Speaker 3: Syriac merchant from a very noble family. But chat Chip
39:27
Speaker 3: he gave me a term use of West African slaves. Now,
39:30
Speaker 3: if I didn't know that, if I didn't know that,
39:33
Speaker 3: I would be fooled.
39:33
Speaker 1: Into using the term. So you tell me, you know,
39:36
Speaker 1: is this deliberate? Is there a diabolical genius, you know, working.
39:41
Speaker 3: Behind the scenes, or is it like a sheer incompetence.
39:46
Speaker 2: I've done a couple episodes on AI and I'm of
39:49
Speaker 2: the opinion Matthew that a I can never control the world.
39:57
Speaker 2: It has no will or desire to do so. It's
40:00
Speaker 2: it's simply a set of algorithms.
40:02
Speaker 3: If they had hired the best and writers, and there
40:06
Speaker 3: are plenty of the best and bryers out there.
40:08
Speaker 1: They could have pulled it off. Well, now it's too late.
40:11
Speaker 3: Some of this, Some of these folks they either have
40:14
Speaker 3: a they either have conscience or more likely they you know, like.
40:21
Speaker 1: They offensitters.
40:24
Speaker 3: But they asked you many you know, like inconvenient questions,
40:28
Speaker 3: and you know, this is a world that does not
40:31
Speaker 3: tolerate inconvenient qustionans just like you know how we witness
40:35
Speaker 3: you know, during COVID inconvenient questions can land you in trouble.
40:39
Speaker 3: You click like on a face Facebook post and you
40:43
Speaker 3: might get arrested by the police. I mean, as such
40:48
Speaker 3: was the case.
40:49
Speaker 1: I mean there were many such cases.
40:50
Speaker 3: You know, there was a pregnant woman, you know, like
40:52
Speaker 3: who clicked like on a on a post that question
40:56
Speaker 3: you know, the COVID narrative or you know maybe you know,
40:59
Speaker 3: like it was what I were mctam being effective.
41:02
Speaker 1: It's a she was a pregnant.
41:04
Speaker 3: Woman and the cops you know, just you know, came
41:07
Speaker 3: knocking down on her door and she was arrested, and
41:10
Speaker 3: thankfully there was someone in that house who you know
41:14
Speaker 3: uh uh you know who viewed that, you know, like
41:19
Speaker 3: that encounter. So like, this is the world that does
41:21
Speaker 3: not tolerate questions and uh so how are you going
41:25
Speaker 3: to get the best in brightest because like you need
41:28
Speaker 3: to question uh, you know, the development of any system
41:33
Speaker 3: uh at you know, like all the.
41:37
Speaker 1: Time, you know, is this going to work? Is this feasible?
41:40
Speaker 1: How much of energy is it going to consume?
41:42
Speaker 3: You know, like uh, how much of uh you know,
41:46
Speaker 3: like data, I mean not processing power?
41:50
Speaker 1: Do we need?
41:52
Speaker 3: Uh? Do we have enough coolant systems? You know, like
41:54
Speaker 3: I mean data centers you know, like a generate a
41:57
Speaker 3: lot of heat, so they have.
41:58
Speaker 1: To be cooled.
42:00
Speaker 3: So there are you know that there's so many things
42:02
Speaker 3: that go into you know, helping. But these guys are
42:04
Speaker 3: not really bothered, you know, like you know, they have
42:08
Speaker 3: an agenda and they have a ready army of people
42:13
Speaker 3: to fulfill that agenda. But they forget that these guys
42:16
Speaker 3: you know, may not be up to the task. Now
42:21
Speaker 3: that is a possibility that the AI we uh that
42:27
Speaker 3: civilians like Earth use even the ones with subscription.
42:33
Speaker 1: Uh that is allowed.
42:37
Speaker 3: To rot you know, they will sooner allow you know,
42:41
Speaker 3: such airs like chapt Grock and all that to just
42:44
Speaker 3: rot away, and they will unveil a system like Palenteer,
42:49
Speaker 3: which has been developed in secret, you know, maybe in
42:54
Speaker 3: all the planets, like we depopulate the world, you know,
42:56
Speaker 3: bring it down to I mean, it's no longer a
42:58
Speaker 3: question of one hundred million now that was penciled about
43:01
Speaker 3: fifty years sept sixty years back. Now, you know, like
43:05
Speaker 3: with the kind of technology we have, the globalist globalist
43:11
Speaker 3: plan can be you know executed with just one and
43:14
Speaker 3: fifty million people. So today, have you know, a very
43:18
Speaker 3: robust AI system developed independently of all the you know,
43:23
Speaker 3: like a civilian.
43:26
Speaker 1: AI out there. It's possible. I'll tell you why.
43:32
Speaker 3: Dark past technology is twenty years ahead of what is
43:38
Speaker 3: available in the civilian sphere. They're always twenty years ahead. Okay,
43:45
Speaker 3: So they could have developed you know, an AI system
43:48
Speaker 3: that's really robust, really intelligent users you know that are field.
43:56
Speaker 1: I mean there are several you know.
43:57
Speaker 3: Like layers of AI. Maybe they have allowed superintelligence. So
44:02
Speaker 3: now the question is how do we get rid of
44:04
Speaker 3: surplus stock the cattle, so to speak.
44:07
Speaker 1: You know, how do we do it?
44:08
Speaker 3: Do we?
44:09
Speaker 1: Unless you know, uh a sky uh uh.
44:15
Speaker 3: Global scarcity of essential items? You know, since the pandemic
44:19
Speaker 3: didn't didn't succeed, you know, let's let's you know, like
44:23
Speaker 3: a let's create you know, a global scarcity. You know,
44:28
Speaker 3: like all essential items like fuel, food, medicines and so on,
44:33
Speaker 3: could be you know, and people start, you know, tearing
44:35
Speaker 3: each other apart. It's going to be bloody, it's going
44:38
Speaker 3: to be you know, protracted, and maybe you know, they'll
44:41
Speaker 3: just sit back and have fun and uh you know
44:44
Speaker 3: like maybe maybe you know, there's a they've already figured
44:48
Speaker 3: out a safe haven for themselves. Maybe you know, uh,
44:54
Speaker 3: but I don't know, like there are so many things
44:56
Speaker 3: that could go wrong, and even you all like a
45:00
Speaker 3: like when people talk about underground bunkers for you know,
45:05
Speaker 3: like this billionaires and the you know, select members of
45:08
Speaker 3: the military. Do you think the gods who man this,
45:12
Speaker 3: uh this, you know, our secret camps they will tolerate
45:17
Speaker 3: you know, the sacrifice of the women and children or
45:21
Speaker 3: their relatives. No, They're gonna just take the machine gun
45:25
Speaker 3: and they might just you know, like a just go
45:28
Speaker 3: rambow on this guy's you know in the bunkers. You know,
45:32
Speaker 3: there's so many things that could go wrong, you know,
45:34
Speaker 3: unless like they all belong to a Satanic cult and
45:37
Speaker 3: they are remote controled by Satan himself.
45:41
Speaker 1: I don't see it happening.
45:46
Speaker 2: Yeah, So what you're saying is that it's not it's
45:48
Speaker 2: not a well oiled machine, not at all.
45:50
Speaker 3: It's badly oiled. Let me give you a real physical analogy.
45:56
Speaker 1: Okay, they are like.
46:00
Speaker 3: AI and the rate AI is going, it's like the Audi.
46:07
Speaker 3: It's like the Audi of today or in the Jaguars.
46:10
Speaker 3: Audi said jaguars to use, you know, a vehiclar analogy.
46:15
Speaker 3: Now you get in, you step inside a jaguar, oh man,
46:18
Speaker 3: like it feels so good, you know, it's it feels dirty.
46:21
Speaker 1: And so on.
46:22
Speaker 3: After you know, like ten thousand kilometers thirty thousand kilumbters
46:26
Speaker 3: max sunny, it develops a whole lot of issues, you know,
46:30
Speaker 3: and you're left with a lemon and you can't fix it,
46:34
Speaker 3: even if you have the money to fix it.
46:36
Speaker 1: You know, you can't fix it because the spare parts
46:38
Speaker 1: are not available.
46:41
Speaker 3: And uh and this is something that you know, I
46:46
Speaker 3: use the you know, like the car analogy to describe
46:49
Speaker 3: what's happening in the West.
46:51
Speaker 1: Have you come across a single Western car manufacturer that
46:54
Speaker 1: is doing well?
46:57
Speaker 3: You know, even Mercedes Banks is producing a lot of
47:01
Speaker 3: yeah Tesla. Nah.
47:05
Speaker 1: No, that's that's a crack car. And you know, don't
47:09
Speaker 1: don't listen to what I'm saying.
47:11
Speaker 3: Watch watch Scotty Kilmer, the world's most famous mechanic saying it.
47:16
Speaker 3: He's got a YouTube channels, rubbishes and stuff. Even the Chinese,
47:21
Speaker 3: you know, like Evy automakers are much better, no way,
47:26
Speaker 3: that's why.
47:27
Speaker 1: It small hype.
47:28
Speaker 2: Yeah, but I mean like fifty percent of all Tesla's
47:31
Speaker 2: are made in China anyway.
47:33
Speaker 3: Yeah, because only the Chinese can make it, you know,
47:35
Speaker 3: like a you know, like that's a.
47:38
Speaker 1: Lot of India. That's a lot of India.
47:41
Speaker 3: There's a lot of India hype you know by the
47:44
Speaker 3: big tech oligarchs and Elon must wants more Indians to
47:48
Speaker 3: uh you know, like a hop over to the United
47:52
Speaker 3: States and you know, like a strengthened uh jew I
47:57
Speaker 3: mean the the tech you know, Capac City of the
48:00
Speaker 3: United States.
48:02
Speaker 1: Uh.
48:03
Speaker 3: That's that's just one problem. You know, YZ manufacturing is
48:07
Speaker 3: Teslas in China instead of India, you know, and when
48:13
Speaker 3: it comes to and I'm telling you, India is going
48:17
Speaker 3: to be the the chink in the armor. It's going
48:21
Speaker 3: to be the oculus heels of the western of the West.
48:25
Speaker 1: You know, like IT systems, Uh, their.
48:31
Speaker 3: IT talents are not that really. I mean it's repleetd
48:35
Speaker 3: with fraud, all kinds of fraud, fraudulent credentials there, many
48:40
Speaker 3: of them are underqualified.
48:43
Speaker 1: And if you watch the recent.
48:47
Speaker 3: AI submit in Delhi, I mean I just you know,
48:50
Speaker 3: perus through this, you know, just you know, skipped through it.
48:53
Speaker 3: It was shockingly bad. I'm telling you should watch it,
48:57
Speaker 3: you know. Like for instance, uh One University got a
49:04
Speaker 3: Chinese robot, rebranded it as its own and displayed it
49:09
Speaker 3: as as an example example of Indian AI you know, prowers.
49:16
Speaker 3: And when someone pointed out that's a Chinese robot, you know,
49:18
Speaker 3: they they wented to damage control saying that, yeah, you know,
49:22
Speaker 3: we bought the components from China, but the but the
49:25
Speaker 3: software and the algorithms are all ours.
49:28
Speaker 1: It does not to be false.
49:30
Speaker 3: And then someone i think like one of the international
49:34
Speaker 3: participants asked one of the students, a very confident looking guy.
49:38
Speaker 3: You know, like, what's your favorite programming language? You know,
49:43
Speaker 3: without patting an eyelid, he said, sounds great, that's my
49:48
Speaker 3: favorite programming language. You get the joke, Well, programming explain it. Okay,
50:02
Speaker 3: a programming language should be see fort run. Those are
50:05
Speaker 3: the older programming languages. You know, we're talking about computer
50:09
Speaker 3: language when it comes to programming language.
50:13
Speaker 1: You know, like you're talking about computer.
50:15
Speaker 3: Language, you know, like you know, you have you know,
50:19
Speaker 3: like during my time when you know, like when computers
50:23
Speaker 3: came on on the scene during my time, Like you know, Python,
50:28
Speaker 3: Python is the software.
50:29
Speaker 1: So anyway, like there's no way someone.
50:32
Speaker 3: Who's studying computer science would say, my favorite programming language
50:37
Speaker 3: is Sanskrit.
50:39
Speaker 1: You know, there's just you know, it's just you know,
50:44
Speaker 1: I mean I can't even find a.
50:47
Speaker 3: I just can't find a you know, like a funny
50:50
Speaker 3: you know, funny juxtaposition for this.
50:53
Speaker 1: It's just overwhelming.
50:55
Speaker 3: And uh, someone came up with a drone you know
51:01
Speaker 3: that was worse than the worse than the the you know,
51:07
Speaker 3: like a then something you pluck from the garbage from
51:14
Speaker 3: a landfill and patched up. It looked just like that,
51:17
Speaker 3: you know, a toy drone discovered in a landfill and
51:22
Speaker 3: patched up using tape. I mean you have to see
51:24
Speaker 3: to believe it. Okay, you have to see to believe it.
51:28
Speaker 3: So that was in this AI summit. And these are
51:31
Speaker 3: the guys who are supposed to, you know, like, uh,
51:35
Speaker 3: be the what you call it, be the pillars of
51:39
Speaker 3: our our global cyber systems.
51:42
Speaker 1: No, it's going.
51:43
Speaker 3: To end very badly, very very badly. I'm already jacked
51:49
Speaker 3: up talking about this stuff. You think that they'll be
51:55
Speaker 3: able to carry out you know, a national a planetary
51:59
Speaker 3: white but opticon, they'll be able to you know, like
52:02
Speaker 3: even detect what we are thinking. It's not going to happen.
52:06
Speaker 3: And I've seen you know, crap like this before. You know, like, uh,
52:10
Speaker 3: where this the software is supposed to h? I mean
52:17
Speaker 3: it was intended. It was designed to be quite uh robust,
52:24
Speaker 3: you know, and to function under conditions where uh, you know,
52:29
Speaker 3: like the data flow Uh it's not optimal. But somewhere
52:34
Speaker 3: along the way, you know, like a new features had
52:38
Speaker 3: to be added, new complications arose, And so we have
52:43
Speaker 3: a situation where someone like me, I mean there are
52:47
Speaker 3: just two of us you know at this uh, in
52:49
Speaker 3: this chat, and neither of us can turn off the
52:52
Speaker 3: echo cancelation. Can you see how you know, like a
52:56
Speaker 3: you know, like a the lack in the design process.
53:03
Speaker 3: So yeah, it just goes to show it all, like, yeah, they're.
53:07
Speaker 2: Want to succeed because our audio has gone a bit
53:11
Speaker 2: wonky and I'm hearing myself in my headphones. So I'm
53:13
Speaker 2: struggling to continue this conversation. So let's come in for
53:17
Speaker 2: a landing. Give me the moral of the story.
53:21
Speaker 1: The moral of the story is.
53:24
Speaker 3: You should not be worried about all the bad things
53:27
Speaker 3: that are going to happen over the next few years
53:32
Speaker 3: because those in charge, you know, like they may have
53:36
Speaker 3: a lot of evil designs in their heart and they
53:40
Speaker 3: may even execute them, but it's going to end in failure,
53:44
Speaker 3: total failure. You know. Uh, I think, you know, like
53:49
Speaker 3: in what I believe is the case, is that God
53:53
Speaker 3: is going to step in and you know, like He's
53:57
Speaker 3: going to expose h you know, like, uh, these devils
54:02
Speaker 3: for what they are, and ultimately he will trying. You know,
54:06
Speaker 3: it's it's been like I mean, it's assured, it's been assuredance.
54:10
Speaker 3: It's we've been given the assurance in scriptures, So why
54:13
Speaker 3: doubt it, I know, That's my opinion. And uh, do
54:18
Speaker 3: not get distracted as I was earlier this year and
54:22
Speaker 3: all you know, the first two months of this year,
54:24
Speaker 3: you know, like we are still in the second month,
54:26
Speaker 3: you know, like I would wake up, watch the news,
54:29
Speaker 3: get so you know, like, uh, how should I say it?
54:35
Speaker 3: You know, mentally uh dispirited, you know, like uh mentally
54:44
Speaker 3: you know, like enerraated.
54:46
Speaker 1: You know, like by you know, like you know, like
54:52
Speaker 1: by soaking.
54:53
Speaker 3: It's so much of negativity, ah, in all sorts of
54:58
Speaker 3: you know, fake news and you disinformations, conspiracy theories and
55:02
Speaker 3: so on. Now a lot of this conspiracy stuff, they
55:07
Speaker 3: have a lot of merit, lots of merit, and uh
55:11
Speaker 3: we should be you know, like, uh we should be
55:16
Speaker 3: skeptical to say the least of what the global powers
55:21
Speaker 3: that be are planning. After all, you know, take a
55:24
Speaker 3: look at Jeffrey Epstein, the kind of you know, plans
55:27
Speaker 3: yet envisaged. He wanted you know, a super breed of
55:31
Speaker 3: human beings, you know, uh bread through his DNA. I mean,
55:38
Speaker 3: I mean, whoever gave him that idea that his DNA
55:42
Speaker 3: was optimal for such a project, if anything, you know,
55:45
Speaker 3: like if I was you know, a top you know,
55:48
Speaker 3: super scientists. And if I had to come up in
55:50
Speaker 3: a master race, Jeffrey Epstein would not be on my list.
55:59
Speaker 3: He would be in the bottom ten percent. You know.
56:03
Speaker 1: So the morons are in charge of the world.
56:06
Speaker 3: And they do not have an idea of they do
56:11
Speaker 3: not have the vervital, the cerebral vervital, and the capacity
56:17
Speaker 3: to carry out their plans. And now we're going to
56:19
Speaker 3: see a great unraveling. Yeah, maybe that's a nice term,
56:23
Speaker 3: the great unraveling. You know. Now, a lot of bad
56:26
Speaker 3: things will happen, a lot of people might die, you know,
56:29
Speaker 3: here and there, but what we are going to see
56:34
Speaker 3: is a great unraveling. And I hope, like a I
56:38
Speaker 3: coined that term because I'm going to use it.
56:41
Speaker 2: How can I follow your work?
56:44
Speaker 3: Well, you can follow my substack, and if you want,
56:49
Speaker 3: you know, like you could also help, I mean, like,
56:52
Speaker 3: if you want to, you know, like, I'd also encourage
56:54
Speaker 3: anyone who's watching this to read my novel Electric Reckoning.
57:01
Speaker 3: I can send you a link, and that pretty much
57:05
Speaker 3: encapsulates what happened, you know, in the period leading up
57:10
Speaker 3: to today and a likely scenario in the future. I mean,
57:14
Speaker 3: these guys are desperate, you know they do not have
57:17
Speaker 3: much in terms of options. You know, the pandemic plan failed,
57:23
Speaker 3: and I think like they tried all sorts of other
57:27
Speaker 3: diabolical stuff and it's all failing. And you know the
57:32
Speaker 3: plot in Electric Reckoning, you know, like a maps out
57:36
Speaker 3: one viable option left. So I encourage those who would
57:40
Speaker 3: like to support my work and and you know, to
57:46
Speaker 3: get a copy of that book. I'm not a very
57:49
Speaker 3: eloquent speaker, but I'm a very good writer, so I
57:52
Speaker 3: can assure them, you know, they would not be bored
57:55
Speaker 3: when it comes to steaking somehow, you know, I would
57:57
Speaker 3: just waffle away and I progress because there's.
58:01
Speaker 1: So many ideas, you know, happening in my mind. I
58:03
Speaker 1: do not know we know where to start it where
58:05
Speaker 1: to stop.
58:05
Speaker 3: But when it comes to writing, I can systematically organize
58:08
Speaker 3: my thoughts and so on.
58:09
Speaker 1: So I encourage them to.
58:11
Speaker 3: Get a copy. They can also follow me on my substack.
58:16
Speaker 3: It's called the Eye Opener.
58:18
Speaker 2: Thank you for joining me in the Strangers