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Transcript

Get The FLOCK Outta Here AI Revolt & MAGA Cracks! · The Enigma Daily

• 0:00
  Speaker 1: Ah, guess what, Jay? Guess what? Florida has a new slogan.
• 0:03
  Speaker 1: They're going to put it on the back of a
• 0:04
  Speaker 1: license plate down here. I don't know if you heard
• 0:05
  Speaker 1: about that up there in your neck of the woods,
• 0:07
  Speaker 1: but I'm going to take one guess what it is.
• 0:13
  Speaker 2: We got gators? I don't have any idea.
• 0:15
  Speaker 1: Get the fuck out of here. That's what they're talking
• 0:17
  Speaker 1: about down there. They're about to put that on a
• 0:19
  Speaker 1: license plate. If you have not heard the outstanding news
• 0:23
  Speaker 1: coming out of Florida that dropped late last night-ish, Again,
• 0:28
  Speaker 1: I've said this before that Florida is the last true
• 0:31
  Speaker 1: state in all of our 50 states in America. Florida
• 0:37
  Speaker 1: has said all block cameras are to be removed immediately
• 0:45
  Speaker 1: and they will be not issuing any more permits to
• 0:48
  Speaker 1: hang up these flock cameras, right? And I know some
• 0:50
  Speaker 1: of you are saying like, no, no, no, no, no, Joseph.
• 0:53
  Speaker 1: Those are for state roads. Hey, hey, hey, donkey. All
• 0:56
  Speaker 1: the sheriffs are already doing it. Country roads, back roads,
• 0:59
  Speaker 1: city roads, doesn't matter. All the flock cameras are coming
• 1:01
  Speaker 1: out of Florida. And however, you want to see something
• 1:03
  Speaker 1: funny in your free time, go pull up that flock
• 1:07
  Speaker 1: map and look at where all those flock cameras were not.
• 1:15
  Speaker 1: And it will remind you of exactly what they noticed
• 1:22
  Speaker 1: when it was in, there was no flock cameras located
• 1:26
  Speaker 1: up in the upper east side of Manhattan or whatever, right?
• 1:33
  Speaker 1: So this happens to be, I'm not a conspiracy theorist.
• 1:38
  Speaker 2: That's a lie.
• 1:39
  Speaker 1: Bags don't mess with your feelings. But in Florida, there
• 1:43
  Speaker 1: was no cameras in areas of people who shared an
• 1:49
  Speaker 1: unusually uncommon.
• 1:52
  Speaker 2: Religion.
• 1:53
  Speaker 1: Look it up. Don't shoot me. Don't shoot the messenger.
• 1:56
  Speaker 1: I'm just saying it is what it is. But now
• 1:59
  Speaker 1: it is what it's not. And here is the straw
• 2:03
  Speaker 1: that broke the proverbial camel's back. Evidently down here. What
• 2:10
  Speaker 1: caused this was a police officer was using flock cameras
• 2:13
  Speaker 1: to track his ex-girl's movements. And that's exactly what Jay
• 2:19
  Speaker 1: and a lot of the people have been talking about
• 2:20
  Speaker 1: saying that, yo, this is not just for reading license plates. Jay,
• 2:25
  Speaker 1: take your victory lap, son. Take your victory lap, son.
• 2:27
  Speaker 1: First chance they got. First chance they got. He was
• 2:30
  Speaker 1: tracking an ex.
• 2:32
  Speaker 2: And that's not the only case. I mean, it's all
• 2:35
  Speaker 2: over the place.
• 2:36
  Speaker 1: All over the place, right?
• 2:37
  Speaker 2: Did you see the story about the woman who had
• 2:39
  Speaker 2: to basically prove her innocence? No. So there was this
• 2:45
  Speaker 2: one case where the police come knocking on this, this
• 2:49
  Speaker 2: woman's door. Right. And they're like, we know you did this.
• 2:54
  Speaker 2: You're in the, you're in the neighborhood very often. And
• 2:59
  Speaker 2: she's like, what are you talking about? Well, you, you know,
• 3:02
  Speaker 2: stole this package or I can't remember vandalize this thing.
• 3:06
  Speaker 2: And she's like, what are you talking about? I was
• 3:08
  Speaker 2: never there. Blah, blah, blah. She had to grab her
• 3:11
  Speaker 2: ring doorbell footage to counteract the flock claim. Cause this
• 3:18
  Speaker 2: guy's like, Nope, it's on video. We got it.
• 3:21
  Speaker 1: Nailed you.
• 3:22
  Speaker 2: Nailed you. And she's like, no, absolutely not. These things
• 3:27
  Speaker 2: can be so easily misused, dude. So easily.
• 3:32
  Speaker 1: First chance they got down here. You know what? But
• 3:35
  Speaker 1: you know what? I salute you, ex-stalker boyfriend, police officer.
• 3:40
  Speaker 2: Thank you for helping.
• 3:43
  Speaker 1: Real American hero. First chance you got, you stalked your ex.
• 3:50
  Speaker 1: And I'm talking about, man, was he stalking his ex, boy. Like, wow, bro.
• 3:56
  Speaker 1: 24-7 movements, right? To the point where if he would
• 3:58
  Speaker 1: have only done it once or twice, he probably wouldn't
• 3:59
  Speaker 1: have got caught, right? So anyway, so here's the actual
• 4:03
  Speaker 1: statement that came out. Ron DeSantos, who is 100% lining
• 4:07
  Speaker 1: up for a presidential bid, he will win the president
• 4:11
  Speaker 1: if he dumps Israel, but he probably will not because
• 4:15
  Speaker 1: they will kill him if he tries. But Ron DeSantos
• 4:18
  Speaker 1: called this technology, and people have mixed feelings about Ron
• 4:23
  Speaker 1: DeSanctimonious or whatever, man. But you know what? I take
• 4:26
  Speaker 1: my wins where I can get them, Jay. But he
• 4:28
  Speaker 1: came out and said it, man. These are out of control.
• 4:30
  Speaker 2: Yeah.
• 4:31
  Speaker 1: They're everywhere. He said they're everywhere. And they are. When
• 4:34
  Speaker 1: you look at that map, I had no idea that
• 4:36
  Speaker 1: they were like that prevalent down here in Florida, right?
• 4:40
  Speaker 1: I didn't know that.
• 4:40
  Speaker 2: They're everywhere, dude.
• 4:41
  Speaker 1: They're everywhere. And he says that they're out of control.
• 4:45
  Speaker 1: It's digital AI surveillance state. It's not for, you know,
• 4:49
  Speaker 1: tracking criminals or Amber Alerts or whatever. He says people's
• 4:54
  Speaker 1: movements are constantly tracked. everybody's movement. When you get out
• 5:00
  Speaker 1: of your house, whether you're doing anything wrong or not,
• 5:03
  Speaker 1: it tracks you leaving your house, going to the grocery store,
• 5:06
  Speaker 1: coming back, and it's stored on your license plate where
• 5:11
  Speaker 1: you went, how long you were gone, X, Y, and Z,
• 5:15
  Speaker 1: and it's video. It's video footage, right? So yeah, totally, totally,
• 5:19
  Speaker 1: totally told it, right?
• 5:20
  Speaker 2: Well, not only that, but then you can use it
• 5:22
  Speaker 2: for stuff like gait recognition and facial recognition and all
• 5:26
  Speaker 2: of these things. It's not just A license plate reader, dude.
• 5:30
  Speaker 2: That is way, way underselling it. And they're underselling it
• 5:33
  Speaker 2: on purpose so that it permeates. For sure.
• 5:35
  Speaker 1: We talked about this yesterday, right? Like massaging the text, right?
• 5:37
  Speaker 1: Massaging the text, right?
• 5:40
  Speaker 2: Yeah.
• 5:41
  Speaker 1: It's funny because you can go online right now and
• 5:43
  Speaker 1: you can see sheriff departments all over Florida knocking these things,
• 5:49
  Speaker 1: gently knocking them down with their cruisers. And yeah, like
• 5:53
  Speaker 1: the whole entire pole is coming out of the ground, right?
• 5:56
  Speaker 1: Coming out with their cruisers, right? And putting them in
• 5:59
  Speaker 1: the back of their squad cars and driving away. It's
• 6:04
  Speaker 1: going viral down here and everybody's up celebrating it, right?
• 6:08
  Speaker 1: And the thing about it also is by the end
• 6:12
  Speaker 1: of September, they all have to be, September 30th, every
• 6:15
  Speaker 1: single flock camera in Florida has to be down. And again,
• 6:17
  Speaker 1: people are saying, no, no, no, only the one on
• 6:19
  Speaker 1: state streets. Shut up. Go read the whole thing. All
• 6:22
  Speaker 1: the sheriff's departments, the counties, all that stuff, they're already
• 6:26
  Speaker 1: on board with it. They're all coming down, right? And
• 6:28
  Speaker 1: so fun fact about flock cameras, Jay, I didn't know
• 6:32
  Speaker 1: that today until I looked into this. Do you know
• 6:34
  Speaker 1: that flock cameras are managed on a state level and
• 6:41
  Speaker 1: that not on a, uh, federal level. So ever who
• 6:46
  Speaker 1: is behind these massive flock cameras going up, got permission
• 6:51
  Speaker 1: from each state to do it. Someone is working overtime.
• 6:57
  Speaker 1: getting these things in or whatever.
• 6:59
  Speaker 2: They're having these little flock conventions in each state.
• 7:03
  Speaker 1: Are they?
• 7:04
  Speaker 2: Yeah, and it's amazing the people who show up to
• 7:06
  Speaker 2: these little conventions. Right, right.
• 7:10
  Speaker 1: I can only imagine.
• 7:12
  Speaker 2: They are really, really pushing selling these things everywhere. In PA,
• 7:19
  Speaker 2: the state of Pennsylvania has been like, yeah, no, we're
• 7:22
  Speaker 2: not doing it. Good.
• 7:24
  Speaker 1: I haven't seen your flock map. My flock map was
• 7:26
  Speaker 1: flocking out of flocking control.
• 7:27
  Speaker 2: Yeah, the Pennsylvania State Police don't use it. So there's no,
• 7:33
  Speaker 2: you know, not on Pennsylvania State roads or anything controlled
• 7:38
  Speaker 2: by the Department of Pennsylvania here.
• 7:41
  Speaker 1: So, yeah, so they're all coming down, which leads someone.
• 7:44
  Speaker 1: Someone's not happy.
• 7:46
  Speaker 2: Well, I imagine the CEO of flock is not happy.
• 7:50
  Speaker 1: Take one step further. One step further.
• 7:53
  Speaker 2: Neither is Palantir.
• 7:55
  Speaker 1: That's right. Peter Thiel, the reptile, is grinding his teeth
• 8:00
  Speaker 1: reportedly down in Argentina as he makes plans to flee
• 8:03
  Speaker 1: down to New Zealand or whatever, right? And he is
• 8:06
  Speaker 1: extremely upset. This is a quote.
• 8:09
  Speaker 2: A quote.
• 8:12
  Speaker 1: Step in the wrong direction. Right?
• 8:14
  Speaker 2: Is that what he said?
• 8:16
  Speaker 1: This is a step in the wrong direction.
• 8:18
  Speaker 2: Oh, man.
• 8:19
  Speaker 1: Fighting technology is not the way to move forward in life.
• 8:22
  Speaker 1: This is a step in the wrong direction. Bro. Bro.
• 8:28
  Speaker 1: You cannot conquer an American. You cannot do it. Most
• 8:33
  Speaker 1: Americans would have went about their whole entire daily lives
• 8:36
  Speaker 1: not even knowing these things existed or cared about it.
• 8:40
  Speaker 1: But the moment... That you arrested one person and it
• 8:45
  Speaker 1: made the national news for knocking it down. And then
• 8:48
  Speaker 1: they figured out, like, why is he knocking down, you know, originally,
• 8:51
  Speaker 1: originally they thought they were camera, you know, speed cameras.
• 8:54
  Speaker 2: Right.
• 8:54
  Speaker 1: I don't know if you knew that.
• 8:54
  Speaker 2: Right. Yeah.
• 8:56
  Speaker 1: And so the moment you arrested them and then people
• 8:59
  Speaker 1: looked at what they really are like, oh, no, bro. No,
• 9:02
  Speaker 1: we don't we don't get down like that up here, man.
• 9:03
  Speaker 1: We do not get down like that. United States of America.
• 9:08
  Speaker 1: You understand? We don't get down like that. And so,
• 9:11
  Speaker 1: big win for Florida. However, people, I would say, take
• 9:17
  Speaker 1: this victory with a slight grain of salt because Florida
• 9:23
  Speaker 1: is in trouble. It's in trouble, Jay.
• 9:27
  Speaker 2: Yeah.
• 9:28
  Speaker 1: Because, yes, it's in trouble here. I'm going to take
• 9:31
  Speaker 1: this moment to pause and let you know that Republican-backed,
• 9:38
  Speaker 1: Donald Trump-handpicked governor, nominee or MAGA governor, Byron Donalds. It's
• 9:51
  Speaker 1: not going over well down here in Florida. It's not
• 9:53
  Speaker 1: the fact that he's black with two felons out of
• 9:55
  Speaker 1: New York. That has nothing to do with it. That
• 9:58
  Speaker 1: has nothing to do with it. That has everything to
• 9:59
  Speaker 1: do with it. It's because he was literally today going
• 10:06
  Speaker 1: around telling people that no matter what, when those data
• 10:11
  Speaker 1: centers eventually show up in Florida, you will not have
• 10:14
  Speaker 1: to pay extra money to do it. So take a guess,
• 10:19
  Speaker 1: prior to flock cameras being the number one things that
• 10:21
  Speaker 1: people hated in Florida, take a guess what number two
• 10:25
  Speaker 1: was on that list.
• 10:27
  Speaker 2: Data centers.
• 10:28
  Speaker 1: Data centers, right? Because Florida actually has very deep aquifers, people.
• 10:33
  Speaker 1: If you don't know what an aquifer is, that's where
• 10:34
  Speaker 1: the water stores under the ground, right? And so they
• 10:39
  Speaker 1: want to use these aquifers to run these data centers, right?
• 10:44
  Speaker 1: Florida has an amazing, I think has over like 1,000
• 10:48
  Speaker 1: freshwater springs. By the way. I got to give you
• 10:52
  Speaker 1: guys a little warning. If you're from Canada or New
• 10:55
  Speaker 1: York and you're down here and you're in the freshwater springs,
• 10:58
  Speaker 1: don't feed the gators, stupid.
• 11:00
  Speaker 2: Right?
• 11:02
  Speaker 1: There's videos of these gators coming up on kayaks because
• 11:04
  Speaker 1: you idiots are feeding them chicken bones. You will die
• 11:08
  Speaker 1: doing that.
• 11:09
  Speaker 2: They will roll you.
• 11:10
  Speaker 1: Yeah, bro. These things aren't cuddly. That's not a manatee, bro.
• 11:14
  Speaker 1: You need to pop them with a paddle and tell
• 11:15
  Speaker 1: them to leave, right?
• 11:17
  Speaker 2: Yeah.
• 11:17
  Speaker 1: I think I said it in Australia. Who was the
• 11:20
  Speaker 1: dum-dum that taught a crocodile how to jump out of
• 11:22
  Speaker 1: the water? You ever say, come out of the water
• 11:24
  Speaker 1: and grab a chicken? Who taught them that?
• 11:26
  Speaker 2: I don't think anybody taught them how to do that.
• 11:28
  Speaker 2: I think that's just what they do.
• 11:30
  Speaker 1: Ferocious. Killing machines. Would you agree, Jay?
• 11:33
  Speaker 2: Yeah, basically.
• 11:34
  Speaker 1: Killing machines. But here's where things are going to get
• 11:41
  Speaker 1: bumpy for us. Byron Donald's is the most unlikable human being,
• 11:46
  Speaker 1: I think. No, he's not. Let's be harsh. He's not
• 11:50
  Speaker 1: liked in Florida down here at all. And Ron DeSantis
• 11:54
  Speaker 1: refused to anoint a successor. He didn't even endorse this
• 11:59
  Speaker 1: guy named Jay Collins, I think was his lieutenant governor
• 12:02
  Speaker 1: or whatever. And people are saying, why didn't he do that? Well,
• 12:05
  Speaker 1: the reason why Ron didn't do that, because Ron was
• 12:07
  Speaker 1: not allowed to do it. Ron wanted to endorse this
• 12:10
  Speaker 1: cat named James Fishback, right? James Fishback is a future,
• 12:16
  Speaker 1: you know, if the system lasts or whatever, he is
• 12:20
  Speaker 1: dialed in to the youth down here. He spent a
• 12:23
  Speaker 1: million dollars and got like 20% of the vote, right?
• 12:27
  Speaker 1: Byron Donald spent like hundreds of million dollars from, Jay,
• 12:30
  Speaker 1: what's that organization that donates money to people?
• 12:34
  Speaker 2: APAC?
• 12:35
  Speaker 1: Those guys. He spent like $ 200 million APAC money down
• 12:38
  Speaker 1: here and barely won, right? So it looks like because
• 12:42
  Speaker 1: of the Great American Sit-Out, Florida might flip blue, bro.
• 12:47
  Speaker 1: And this other might flip blue down here. So we'll see.
• 12:50
  Speaker 1: We'll see how that goes. We'll see how that goes.
• 12:53
  Speaker 2: And.
• 12:55
  Speaker 1: And again, I think Ron DeSantis was told not to
• 13:00
  Speaker 1: endorse Fishback, so he chose not to endorse anybody. I
• 13:04
  Speaker 1: would expect Ron DeSantis probably right around when the midterm
• 13:08
  Speaker 1: bloodbath happens to start destroying Trump. Because he's going to
• 13:14
  Speaker 1: start lining up his two-year run for the presidency, right?
• 13:17
  Speaker 2: You think?
• 13:17
  Speaker 1: Because he's going to try.
• 13:20
  Speaker 2: I don't think that's going to be very successful.
• 13:22
  Speaker 1: He's going to try. He's going to try. Trump's actually– well,
• 13:25
  Speaker 1: Trump today– I mean, again, it's not a political channel,
• 13:28
  Speaker 1: but what I'm about to tell you next is that
• 13:31
  Speaker 1: Trump actually pissed off a lot of people in Florida today, right?
• 13:34
  Speaker 1: And so the problem with Florida is– it's not a problem,
• 13:36
  Speaker 1: but the thing about Florida that makes it unique is
• 13:38
  Speaker 1: they have a strong– snowbird community.
• 13:42
  Speaker 2: Right.
• 13:43
  Speaker 1: A lot of people from New York and even, uh, uh, Maryland.
• 13:47
  Speaker 2: Dude, all over. Yeah.
• 13:50
  Speaker 1: So they'll come down here and vote and they'll just,
• 13:52
  Speaker 1: they winter here. Right. And then they leave.
• 13:54
  Speaker 2: Right. Yeah.
• 13:55
  Speaker 1: And so, so they're, they're, they're the ones that have
• 13:58
  Speaker 1: four vacation homes, seven cars, 12, 401ks that they don't,
• 14:04
  Speaker 1: the economy doesn't affect them.
• 14:05
  Speaker 2: Right.
• 14:05
  Speaker 1: And you know, there's, they're the ones that I was
• 14:08
  Speaker 1: talking about, the ones that were fighting at the conviction
• 14:10
  Speaker 1: and the convention and, I don't know, like a guy
• 14:13
  Speaker 1: in his 70s throwing a punch. This makes me laugh.
• 14:16
  Speaker 1: I think I told you that already, man. I thought
• 14:17
  Speaker 1: it was funny, right? The fact that it connected made
• 14:19
  Speaker 1: it even more funny because like, bro, you didn't see
• 14:22
  Speaker 1: Papaw wind that shot up from that.
• 14:23
  Speaker 2: Field, right? About 10 minutes ago.
• 14:26
  Speaker 1: Right, yeah, right. You know he's probably, you know, cause
• 14:30
  Speaker 1: he's got a stroke out later when his blood pressure
• 14:32
  Speaker 1: calms down. But we'll see how it goes, man. But
• 14:36
  Speaker 1: either way, Jesus wins. But here's the thing. You see
• 14:39
  Speaker 1: Trump's post today, or it came out yesterday, right? Saying
• 14:43
  Speaker 1: that only Americans, or if you're an American and you
• 14:49
  Speaker 1: don't support data centers, you're going to end up backwards
• 14:52
  Speaker 1: and poor, or you are backwards and poor if you
• 14:55
  Speaker 1: do not support data centers. Something along the lines like that.
• 14:58
  Speaker 1: It definitely was the, I would say, the last insult
• 15:05
  Speaker 1: some people were going to say or take from it.
• 15:09
  Speaker 1: Because an immediate comeback was from several ranking people out here.
• 15:14
  Speaker 1: It's like, I'd rather be broke and poor than be
• 15:19
  Speaker 1: a slave. I'm quoting this. I would rather be backwards
• 15:22
  Speaker 1: and poor than slaves to tech billionaires. That was the
• 15:25
  Speaker 1: response that came out of Florida, right? And again, a
• 15:28
  Speaker 1: lot of people are already poor. I don't get the
• 15:32
  Speaker 1: backwards part. That's just insulting, right? Backwards and poor, right?
• 15:36
  Speaker 2: It's as if... this is the end-all be-all technology, like
• 15:40
  Speaker 2: a car, right? Like if you don't adopt a car,
• 15:44
  Speaker 2: you're backwards. I think it can be done the right way, right?
• 15:51
  Speaker 2: You can build a data center the right way where
• 15:53
  Speaker 2: it doesn't pollute the water and it doesn't affect the
• 15:56
  Speaker 2: community as strongly, but they're doing it fast and cheap.
• 16:00
  Speaker 2: And when you do it fast and cheap, you never
• 16:01
  Speaker 2: get good, right? And they're doing it so fast because
• 16:06
  Speaker 2: they want All right, look, here's the thing. This bubble's
• 16:10
  Speaker 2: about to pop, right? It's about to pop. Going down.
• 16:17
  Speaker 2: The juice isn't worth the squeeze. The amount of work
• 16:19
  Speaker 2: that you have to put in to make these things,
• 16:22
  Speaker 2: to make the AI agents work, is more expensive than
• 16:27
  Speaker 2: what you are already spending making it work with people. Yeah.
• 16:31
  Speaker 1: Right?
• 16:32
  Speaker 2: So the juice isn't worth the squeeze, and people are
• 16:34
  Speaker 2: starting to wake up to that. So it's just going
• 16:36
  Speaker 2: to pop. It's going to pop until the next generation
• 16:41
  Speaker 2: of these artificial intelligence agents come out that don't make
• 16:47
  Speaker 2: the kind of mistakes that these do. And because of
• 16:51
  Speaker 2: the way that they're built, there's no solving that problem
• 16:54
  Speaker 2: with the present technology. They have to go back to
• 16:59
  Speaker 2: the drawing board and they have to do it a
• 17:00
  Speaker 2: different way.
• 17:02
  Speaker 1: Yeah, for sure, right? 100% for sure, right? And the
• 17:05
  Speaker 1: thing that I was going to talk about as well
• 17:08
  Speaker 1: is that they just, again, for like the third time,
• 17:13
  Speaker 1: third three-time source verification, man, proved quantum entanglement, right? And
• 17:19
  Speaker 1: so quantum entanglement, you guys don't know, is when two
• 17:22
  Speaker 1: particles can be in the exact same place. No, I'm sorry.
• 17:26
  Speaker 1: They can be... Coexist far apart. Like, you can have
• 17:30
  Speaker 1: one particle here, it's the same particle, and the other
• 17:32
  Speaker 1: particle can be, like, over here. And that distance is infinite, right?
• 17:36
  Speaker 1: So think— I hate to be that one, right? But I'm
• 17:38
  Speaker 1: going to be that one. Think Star Wars. Yeah.
• 17:42
  Speaker 2: It's Star Wars. It's Star Wars-type stuff.
• 17:45
  Speaker 1: Where, you know, I get an instant communication from Jay,
• 17:48
  Speaker 1: who's 12 parsecs away, right? By the way, parsecs is,
• 17:52
  Speaker 1: you know, distance, not time, right?
• 17:54
  Speaker 2: Mm-hmm.
• 17:55
  Speaker 1: So that's when Han said he made the Kessel Run.
• 17:57
  Speaker 1: It doesn't matter. It's not time. It's like parsecs is
• 18:02
  Speaker 1: sectors he went through. So Jay and I could instantly communicate, right?
• 18:06
  Speaker 1: And they refer to it as a subspace communication thing, right?
• 18:09
  Speaker 2: Right.
• 18:11
  Speaker 1: This is the third time they verified it. And they're
• 18:13
  Speaker 1: actually moving into what they're going to try to start
• 18:15
  Speaker 1: using practical applications for, specifically for Long distance communications. And
• 18:20
  Speaker 1: people are going to say like, oh, Joe, that doesn't
• 18:21
  Speaker 1: mean anything.
• 18:22
  Speaker 2: It does.
• 18:23
  Speaker 1: Because if you were on the moon or on Mars,
• 18:25
  Speaker 1: there's like a nine minute delay or like a 20
• 18:27
  Speaker 1: minute delay or something like that. You have to wait
• 18:29
  Speaker 1: for the comms to come back. With quantum entanglement, it's
• 18:34
  Speaker 1: instant walkie talkie, man. Like you can just talk, right?
• 18:37
  Speaker 2: Yep.
• 18:38
  Speaker 1: AI can't prove it. AI can't prove it. In fact,
• 18:42
  Speaker 1: AI oftentimes is getting the math wrong. And it's taking
• 18:46
  Speaker 1: them what he just said. They have to stop, get
• 18:49
  Speaker 1: out the whiteboards. Guys that know how to do math
• 18:52
  Speaker 1: have to go in there. I'm like, you know, man,
• 18:54
  Speaker 1: he didn't carry the zero. And then AI will be like, oh, yes,
• 18:57
  Speaker 1: thank you for that. Here's where I made the error.
• 18:59
  Speaker 1: Here it is again. And it's wrong again, right?
• 19:01
  Speaker 2: It's wrong again. Yeah, so. Yeah, because I wrote a,
• 19:08
  Speaker 2: I was working on an experiment with this stuff. And
• 19:15
  Speaker 2: read a bunch of papers even if even if it
• 19:17
  Speaker 2: corrects itself midstream mid thought right what they call thought
• 19:21
  Speaker 2: the chain of thought right literally it's just like internal
• 19:25
  Speaker 2: monologue even if it recognizes the error nine times out
• 19:30
  Speaker 2: of ten it doesn't it doesn't take that information into
• 19:34
  Speaker 2: consideration yeah it just makes the error and says oh
• 19:37
  Speaker 2: i made an error but then goes and makes it
• 19:39
  Speaker 2: again like yeah again It doesn't affect the outcome. Recognizing
• 19:43
  Speaker 2: error doesn't affect the outcome. So, like I said, they
• 19:46
  Speaker 2: got to go back to the drawing board.
• 19:47
  Speaker 1: Yeah, it's cool.
• 19:48
  Speaker 2: Yeah, for sure. It's a great for a chatbot. It's
• 19:51
  Speaker 2: a very convincing chatbot, but it's inherently deterministic, meaning it's
• 19:56
  Speaker 2: like the best description I can come up with is
• 20:00
  Speaker 2: like it's a ball rolling downhill, right? The ball doesn't
• 20:04
  Speaker 2: know the path.
• 20:05
  Speaker 1: Mm-hmm.
• 20:06
  Speaker 2: It just rolls. It just rolls downhill until it gets
• 20:09
  Speaker 2: to the end. And that's literally what AI is. It's
• 20:12
  Speaker 2: a probability calculation that rolls downhill until it gets to
• 20:16
  Speaker 2: an answer that makes sense.
• 20:20
  Speaker 1: Correct. And like I said, like you just said, this
• 20:23
  Speaker 1: bubble is about to pop. They want the.
• 20:27
  Speaker 2: Real estate because that's where the real value is.
• 20:30
  Speaker 1: Yeah. So they're trying so hard to make it work.
• 20:32
  Speaker 1: But guys, I can also point out to you here
• 20:34
  Speaker 1: as well. I don't know if you drive a Tesla
• 20:38
  Speaker 1: or I don't know if you have been inside of
• 20:41
  Speaker 1: a Tesla before people listen to this, but they have
• 20:43
  Speaker 1: a very sophisticated little program in there or whatever that
• 20:46
  Speaker 1: they help you just navigate or whatever. Zero AI because
• 20:49
  Speaker 1: it makes too much mistakes. Your common, your common GPS
• 20:54
  Speaker 1: on your phone, zero AI, right? Because it's just old
• 20:58
  Speaker 1: fashioned satellite relays that were, that's just laying the map out.
• 21:02
  Speaker 1: Waze makes less mistakes than asking people Chat GPT how
• 21:07
  Speaker 1: to get from D.C. to Baltimore in under 30 minutes
• 21:09
  Speaker 1: at 4 o'clock in the afternoon. It's stupid, right? It's
• 21:12
  Speaker 1: great for skimming Google and like pulling information up or
• 21:15
  Speaker 1: whatever and like, you know, crunching data. But unless you're
• 21:18
  Speaker 1: telling it what to do, it's dumb. And that's where
• 21:20
  Speaker 1: I think that's where I think, too, is funny. I'm
• 21:24
  Speaker 1: going to take another shot at Peter Thiel. These were
• 21:27
  Speaker 1: these blood drinkers. This is why they're so gnashing their teeth, right?
• 21:31
  Speaker 1: Because they're not going to get their God, right? They're
• 21:34
  Speaker 1: not going to get their... Not from this. Not from this.
• 21:37
  Speaker 1: They're not going to get their AI God that tells
• 21:41
  Speaker 1: them how to live in utopia, how to pay for sex,
• 21:43
  Speaker 1: all that weird stuff he had on his... Bro... On
• 21:47
  Speaker 1: his agenda. On his agenda. If you didn't know that,
• 21:49
  Speaker 1: Peter Thiel, actually, his calendar was not locked. Somebody went
• 21:52
  Speaker 1: in there, and Peter Thiel had a schedule with weird
• 21:55
  Speaker 1: stuff on there, and one of those is how to
• 21:57
  Speaker 1: pay for sex. It was literally on his calendar. He
• 21:59
  Speaker 1: had to look that up. Well, you take money, and
• 22:02
  Speaker 1: then you find somebody that wants that money, and you
• 22:04
  Speaker 1: ask them, I'll give you this money if you have
• 22:06
  Speaker 1: sex with me. That's how you pay for sex, Peter.
• 22:07
  Speaker 1: You're in Argentina, bro.
• 22:09
  Speaker 2: Right? Right.
• 22:09
  Speaker 1: I'm sure there's plenty of little ladyboys down there. It's
• 22:11
  Speaker 1: not hard, bro. These people are stupid, bro. Yeah, they're dumb.
• 22:15
  Speaker 2: I think... The whole AI psychosis thing is interesting, right?
• 22:19
  Speaker 2: Because I think that's what's happening here.
• 22:21
  Speaker 1: For sure.
• 22:22
  Speaker 2: Is you got a lot of guys with a lot
• 22:24
  Speaker 2: of money who don't really, don't really, really understand how
• 22:29
  Speaker 2: it works. Right. And I, and I've seen evidence of
• 22:33
  Speaker 2: this by some of the things that some of these
• 22:35
  Speaker 2: guys have published that they don't really understand how it works.
• 22:41
  Speaker 2: And because they don't understand how it works, they're, They're saying, oh,
• 22:45
  Speaker 2: this is AI, and they're just using it constantly. And
• 22:50
  Speaker 2: so as they use it constantly, they become convinced that
• 22:54
  Speaker 2: there's more there there than there actually is.
• 22:57
  Speaker 1: Correct.
• 22:58
  Speaker 2: And it's just not healthy. They've been convinced that this
• 23:02
  Speaker 2: is the end-all, be-all thing, but it takes a pretty
• 23:07
  Speaker 2: decent understanding of how it all works to really know
• 23:11
  Speaker 2: how it's generating all that text.
• 23:13
  Speaker 1: Yeah, and I'll tell you, I'll give you several examples
• 23:16
  Speaker 1: of what he's just talking about. AI has been hyped
• 23:20
  Speaker 1: now for, I don't know, a year, a couple of
• 23:21
  Speaker 1: years now, Jay? Two years. Two years. And AI cannot
• 23:25
  Speaker 1: do any of the following of what I'm about to
• 23:28
  Speaker 1: tell you. Number one, it cannot medically diagnose you properly, period.
• 23:34
  Speaker 1: So like it'll make mistakes or whatever on there. A
• 23:36
  Speaker 1: doctor still has to look at it. And going there
• 23:38
  Speaker 1: is like, no, no, this is wrong, this is wrong,
• 23:40
  Speaker 1: this is wrong. Takes more time for the doctor to
• 23:42
  Speaker 1: tell the AI what's wrong than a doctor just to
• 23:44
  Speaker 1: look at the blood chart himself and say, okay, I
• 23:47
  Speaker 1: got these markers here. It can't fight your legal battles
• 23:50
  Speaker 1: for you, right? It can't do it, right?
• 23:51
  Speaker 2: No. not.
• 23:53
  Speaker 1: Not at all.
• 23:54
  Speaker 2: You do not want an AI lawyer right now.
• 23:56
  Speaker 1: AI lawyers don't work. It cannot predict market models of investing.
• 24:02
  Speaker 1: People have lost thousands of dollars running AI models, betting
• 24:06
  Speaker 1: on something. I'm going to buy corn in Southeast Asia
• 24:09
  Speaker 1: because there's a tsunami coming out of Africa. Doesn't work, right?
• 24:13
  Speaker 2: Nope.
• 24:13
  Speaker 1: So, and also, it cannot even... I got to be
• 24:17
  Speaker 1: careful here. I'm going to calm down, Jay. I'm going
• 24:19
  Speaker 1: to calm down here. I'm going to calm down here
• 24:21
  Speaker 1: a little bit. AI cannot even consistently duplicate your image.
• 24:32
  Speaker 2: No, it can't.
• 24:33
  Speaker 1: And if you think I'm lying, if you think I'm joking,
• 24:36
  Speaker 1: if you go to our Discord right now, I'll post
• 24:38
  Speaker 1: an image up there where AI took my picture that
• 24:41
  Speaker 1: I loaded and ran it twice. And the second time
• 24:46
  Speaker 1: it came out, oh, my God. Like, dude. It's not smart.
• 24:51
  Speaker 1: It's not self-correcting, right? It's just a tool, right? It's
• 24:55
  Speaker 1: just a tool, right?
• 24:56
  Speaker 2: It's a text generator. It gives you the most probable
• 25:00
  Speaker 2: answer to whatever you typed in the window. And then
• 25:03
  Speaker 2: it builds, right? So if you made a mistake or
• 25:08
  Speaker 2: it made a mistake in paragraph two of its answer,
• 25:13
  Speaker 2: as long as you keep talking in that window, it's
• 25:15
  Speaker 2: going to carry that mistake forward and it's going to
• 25:17
  Speaker 2: be compounding as time goes on.
• 25:20
  Speaker 1: So the best uses that I've seen for AI, I'm
• 25:22
  Speaker 1: not even lying when I make this up, is if
• 25:25
  Speaker 1: I have a plant that I don't know the name
• 25:29
  Speaker 1: of that plant or I don't know how to feed
• 25:31
  Speaker 1: it or water it, I'll take a picture of AI
• 25:33
  Speaker 1: and it will tell me in three minutes what it
• 25:35
  Speaker 1: would take me 30 minutes to look up on Google
• 25:38
  Speaker 1: and it will tell me how to water it. And bro,
• 25:41
  Speaker 1: that's where we're at. It also will, I had to
• 25:44
  Speaker 1: use it a day to tell me what the proper
• 25:45
  Speaker 1: temperature for a burger on a grill is. would be
• 25:48
  Speaker 1: for your, it's 155. I got a little thermometer I
• 25:51
  Speaker 1: put in there, right? To get it medium, medium well, right?
• 25:53
  Speaker 1: It's good for stuff like that.
• 25:55
  Speaker 2: Yeah. It's good for text generation. It's good for retrieving
• 25:59
  Speaker 2: data and then presenting it to you in a, in a,
• 26:03
  Speaker 2: in a readable way. Right.
• 26:05
  Speaker 1: There's a, yeah, exactly.
• 26:06
  Speaker 2: It's good for summarizing things.
• 26:08
  Speaker 1: And Grok, and Grok is just as dumb, if not dumber.
• 26:14
  Speaker 1: than ChatGPT. There's a reason why Grok is the worst.
• 26:17
  Speaker 1: There's a reason why Elon Musk's AI is not used
• 26:21
  Speaker 1: on Falcon Xs. They blow up enough on their own.
• 26:23
  Speaker 1: I can only imagine what these guys plan out space
• 26:27
  Speaker 1: coordinates or stuff like that. So yeah, man, it's not
• 26:29
  Speaker 1: going to happen, dude. And everybody needs to.
• 26:31
  Speaker 2: It comes back down to the trading data, right? So
• 26:35
  Speaker 2: if you look at the couple different... Because I've been
• 26:37
  Speaker 2: deep in this for the last two years.
• 26:38
  Speaker 1: Yeah, yeah.
• 26:41
  Speaker 2: ChatGPT... Claude, Gemini, Grok. Those are the big four-ish, right?
• 26:48
  Speaker 2: They're all trained on similar data sets, but there's enough
• 26:52
  Speaker 2: variation there that each kind of has its own flavor, right?
• 26:56
  Speaker 2: The thing about Grok is it was trained on Twitter.
• 26:59
  Speaker 2: It was trained on Twitter data.
• 27:01
  Speaker 1: Right.
• 27:02
  Speaker 2: So you got to think about all of the just
• 27:06
  Speaker 2: absolute lunacy that goes on on Twitter.
• 27:09
  Speaker 1: Twitter is not exactly.
• 27:10
  Speaker 2: And that's at the center of Grok. right that's what
• 27:12
  Speaker 2: the training data looks like yeah so it's gonna it's
• 27:16
  Speaker 2: gonna give you crazy answers this is gonna because that's
• 27:20
  Speaker 2: the data that it was trained on and what talks
• 27:23
  Speaker 2: like a professor because it was trained on a bunch
• 27:26
  Speaker 2: of old books right like novels there's a high degree
• 27:30
  Speaker 2: of fiction that it was trained on how to write properly.
• 27:34
  Speaker 1: Right chat gpt talks like a.
• 27:38
  Speaker 2: Well, that was sub-stack data and.
• 27:42
  Speaker 1: GPT talks like he's in the Island Boy emails because
• 27:46
  Speaker 1: Sam Altman's in the Island Boy emails, right? That's a
• 27:48
  Speaker 1: weird dude right there, man. That's a weird dude. You
• 27:50
  Speaker 1: ever seen how close that Peter Thiel's eyes and Sam
• 27:53
  Speaker 1: Altman's eyes are together, bro? Like, really, really, really close, right?
• 28:00
  Speaker 1: I wonder if that's like a shape-shifting problem they have.
• 28:02
  Speaker 2: You know, alcohol syndrome?
• 28:04
  Speaker 1: No, they're lizard. They're reptiles, though. They're wearing skin suits.
• 28:07
  Speaker 2: Probably.
• 28:07
  Speaker 1: That's one thing, man.
• 28:08
  Speaker 2: I think it's on fetal alcohol syndrome.
• 28:10
  Speaker 1: Is it?
• 28:11
  Speaker 2: Yeah. Which one? Sam Altman? Both.
• 28:14
  Speaker 1: Peter Thiel is a weird dude. I don't know who's weirder.
• 28:17
  Speaker 1: They both get bricks, but I don't know who's weirder.
• 28:20
  Speaker 2: You know who cracks me up every time I see
• 28:24
  Speaker 2: him on any kind of YouTube or interview or anything
• 28:27
  Speaker 2: like that? And you might not know who he is,
• 28:28
  Speaker 2: but this guy Mark Andreessen.
• 28:32
  Speaker 1: I don't know.
• 28:33
  Speaker 2: Oh, dude. Just look up the name, Mark Andreessen. He's
• 28:36
  Speaker 2: this venture capitalist. He has a company called Andreessen Horowitz.
• 28:40
  Speaker 1: Would he get a brick from me?
• 28:41
  Speaker 2: Dude, he might. He looks like the old Saturday Night
• 28:49
  Speaker 2: Live skit, the Coneheads.
• 28:52
  Speaker 1: So yeah, that's the thing. They're weirdos, man. They're very, very,
• 28:58
  Speaker 1: very odd individuals. I don't even really think that I
• 29:04
  Speaker 1: don't even think, man, I'm being dead serious when I
• 29:08
  Speaker 1: say this here, man. I don't even think they're that smart.
• 29:12
  Speaker 1: When I say that, I'm not talking about like, so look,
• 29:16
  Speaker 1: I'm not talking about not only having no common sense.
• 29:19
  Speaker 1: These guys have, these guys, that's how I think they're aliens, man.
• 29:22
  Speaker 1: They have zero freaking already like community, like you could
• 29:28
  Speaker 1: never take them to like a Chili's and these guys
• 29:30
  Speaker 1: not start drinking, you know, straight freaking barbecue sauce or
• 29:33
  Speaker 1: something weird, just trying to fit in, right? Like how
• 29:36
  Speaker 1: weird they are, right? But I don't think, I actually
• 29:38
  Speaker 1: don't think that they are actually very gifted when it
• 29:44
  Speaker 1: comes to creating and innovating. I don't think they are, right?
• 29:49
  Speaker 1: And the example that I would say to that, right?
• 29:54
  Speaker 1: I've often, and to, as well, I don't think Bill
• 29:56
  Speaker 1: Gates is either, right? And When you look at, and
• 30:00
  Speaker 1: Steve Jobs definitely wasn't, right? They're not creators and innovators,
• 30:05
  Speaker 1: but they are monopoly men. They're monopolizers. Is that the
• 30:09
  Speaker 1: word I'm looking for?
• 30:10
  Speaker 2: Yeah, they're just, these are people that happen to be
• 30:13
  Speaker 2: in the right place at the right time to take
• 30:15
  Speaker 2: advantage of other people's intelligence.
• 30:17
  Speaker 1: Yeah, yeah.
• 30:18
  Speaker 2: Right? Musk did it with Tesla, right? Yeah. He didn't
• 30:24
  Speaker 2: create Tesla. Tesla was already there. He just came in
• 30:27
  Speaker 2: and took it over. Yeah. Right? They're hype men. They
• 30:32
  Speaker 2: know what to say and when to say it to
• 30:33
  Speaker 2: the people who have money. And when you get in
• 30:36
  Speaker 2: these circles of people who just have too much money
• 30:39
  Speaker 2: and always have or have suddenly came into it because
• 30:44
  Speaker 2: they were in the right place at the right time,
• 30:45
  Speaker 2: like Mark Zuckerberg, right?
• 30:48
  Speaker 1: He's a thief.
• 30:49
  Speaker 2: Yeah. They steal people's ideas. They capitalize on them. And
• 30:54
  Speaker 2: then they think they're special that way.
• 30:57
  Speaker 1: And again....
• 30:59
  Speaker 2: Overinflated sense of self-worth.
• 31:04
  Speaker 1: Yeah, and it's funny, too, because— excuse me, I just choked
• 31:06
  Speaker 1: on this microphone here. That's why none of them ever innovate. So,
• 31:13
  Speaker 1: for example, Zuckerberg took Facebook from the idea from the
• 31:17
  Speaker 1: Winklevoss brothers, had to pay them huge amounts of money
• 31:21
  Speaker 1: in that lawsuit. Mm-hmm. And he's never created anything else.
• 31:25
  Speaker 1: Everything else he's touched has went to trash. Threads, AI goggles,
• 31:29
  Speaker 1: all this other stuff.
• 31:30
  Speaker 2: Yeah.
• 31:31
  Speaker 1: Went to trash. Same thing with Microslop. When Bill Gates,
• 31:36
  Speaker 1: you know, took that over, he's... We stole it from Xerox, right?
• 31:41
  Speaker 2: Basically, right?
• 31:41
  Speaker 1: Like the whole mouse pointer thing, right? And, by the way,
• 31:45
  Speaker 1: if you don't know, back in the day, if you
• 31:47
  Speaker 1: don't know what blew people's minds about Microsoft... It was
• 31:52
  Speaker 1: the GUI interface, the fact that you could move a
• 31:54
  Speaker 1: mouse and click on something. That's what blew it away, right?
• 31:57
  Speaker 1: And so that's what people were sold. But that was
• 31:59
  Speaker 1: actually created by Xerox before it was, and they just
• 32:01
  Speaker 1: didn't do anything with it, right? So he's never invented anything.
• 32:06
  Speaker 1: Sam Altman came out of nowhere. Sam Altman's actually a murderer.
• 32:08
  Speaker 1: He killed the guy in Seattle that was doing all
• 32:11
  Speaker 1: the work, right? Go look up that case.
• 32:13
  Speaker 2: He was a Y Combinator guy, which anything that comes
• 32:16
  Speaker 2: out of that, to me, is suspect. It's like this
• 32:20
  Speaker 2: weird little venture capitalist echo chamber.
• 32:23
  Speaker 1: Yeah, right. And, you know, they're probably doing weird stuff.
• 32:27
  Speaker 1: They're probably praying to Satan at night or whatever. And
• 32:30
  Speaker 1: Peter Thiel is another guy that came out of nowhere,
• 32:31
  Speaker 1: the reptile, right? But he didn't really necessarily come out
• 32:35
  Speaker 1: of anywhere. He came out of South Africa with Musk.
• 32:38
  Speaker 1: Him and Musk were creating PayPal together back in the day, right?
• 32:42
  Speaker 1: And so that's where Peter Thiel came from. But I
• 32:45
  Speaker 1: think these guys along the way, they get picked up
• 32:47
  Speaker 1: by CIA think tanks or whatever and like, hey, look,
• 32:52
  Speaker 1: let's push this out right here. And they give it
• 32:54
  Speaker 1: to them and have them go and run with it, right?
• 32:57
  Speaker 1: And of course, they make money along the way to
• 32:59
  Speaker 1: go do with it. Peter Thiel's connections are just so
• 33:02
  Speaker 1: freaking odd, dude. Like his relationship with J.D. Vance, bro.
• 33:05
  Speaker 1: I mean, like, man, tell me you're gay without saying
• 33:08
  Speaker 1: you're gay, J.D. Good Lord, man. Like, how are you
• 33:10
  Speaker 1: and this dude, bro? Like, I know y'all used to
• 33:12
  Speaker 1: make out, man, back in college, bro, for real, right? So,
• 33:16
  Speaker 1: fun fact about J.D.
• 33:17
  Speaker 2: Vance.
• 33:18
  Speaker 1: J.D. Vance, rumor alert, J.D. Vance has said to certain people,
• 33:25
  Speaker 1: and it got leaked on purpose, is that he thinks
• 33:29
  Speaker 1: Trump's hurting his presidential candidates, presidential possibilities in 2028, and
• 33:35
  Speaker 1: he doesn't know what to do. He doesn't know what
• 33:36
  Speaker 1: to do, right? And I'm thinking to myself, like, yeah, bro, like,
• 33:42
  Speaker 1: and there was also, guess who else is is quietly concerned.
• 33:48
  Speaker 1: Your boy, Mark Rubio, is also like, yo, dude, like,
• 33:53
  Speaker 1: he's actually thinking about stepping down from being Secretary of,
• 33:56
  Speaker 1: you know, State or whatever because he feels that he
• 34:01
  Speaker 1: needs to put some distance between himself and what's going
• 34:05
  Speaker 1: on with the, with the world.
• 34:13
  Speaker 2: That's what happens when you ruin, literally ruin everything, right? Yeah. Like,
• 34:20
  Speaker 2: I'm not surprised. Like, this is just, it's been a
• 34:24
  Speaker 2: horror show from the beginning for me.
• 34:26
  Speaker 1: Well, I got, look, man, like, I'll make lemonade, bro.
• 34:29
  Speaker 1: I got a little lemonade. I got, no, like, in
• 34:33
  Speaker 1: real life. I got a little lemonade recipe I'm going
• 34:36
  Speaker 1: to tell you all about. So, man, I'm being that
• 34:38
  Speaker 1: serious here, right? Like, kind of a nerd. But I'm
• 34:41
  Speaker 1: also looking about getting into bees, right? I go, I
• 34:45
  Speaker 1: have a glass kind of big jar or whatever, right?
• 34:51
  Speaker 1: And I will get some lemons and I will hack
• 34:54
  Speaker 1: a couple of them up, squeeze them in there, and
• 34:56
  Speaker 1: I dump enough sugar in there to kill most people, right?
• 35:00
  Speaker 1: Then shake it up, let it sit in the sun
• 35:03
  Speaker 1: for a little while. You can make good iced tea
• 35:04
  Speaker 1: like that as well, right? So I can spot opportunities
• 35:08
  Speaker 1: for making lemonade, right? And you know, excuse me here.
• 35:11
  Speaker 1: I don't know why I'm choking so hard. I got
• 35:15
  Speaker 1: to say, you know what? I found some silver lining
• 35:18
  Speaker 1: with what's going on here. Look, I know Trump's not
• 35:21
  Speaker 1: your guy, right? I pray for him. I just prayed
• 35:23
  Speaker 1: for him earlier today. I pray for all these world
• 35:25
  Speaker 1: leaders to come to their senses, right? Because I'm a
• 35:27
  Speaker 1: good boy like that. But you got to admit. old
• 35:34
  Speaker 1: boy's done a pretty good job of burning the whole
• 35:36
  Speaker 1: entire system to the ground, right? Like he's done a
• 35:39
  Speaker 1: pretty good job of letting you know that MAGA was fake.
• 35:44
  Speaker 1: It was a con. There is no left. There is
• 35:46
  Speaker 1: no right. They're both controlled by Israel. And your votes
• 35:54
  Speaker 1: don't really matter currently. And no matter what, these people
• 35:59
  Speaker 1: are going to do whatever they want to do. And
• 36:02
  Speaker 1: they're going to say there's nothing you can do about it. So, Jay,
• 36:05
  Speaker 1: can we give him that? Can we give him a
• 36:06
  Speaker 1: check mark?
• 36:07
  Speaker 2: Oh, yeah. Effectively, he has been very effective at dismantling
• 36:11
  Speaker 2: all of the institutions that were helping people. Yeah, for sure.
• 36:16
  Speaker 1: He's a disruptor. You want to hear the latest victim
• 36:19
  Speaker 1: in the MAGA wipeout?
• 36:23
  Speaker 2: Who's that?
• 36:25
  Speaker 1: Reed W. Rasner. Never heard of this guy. Have you
• 36:28
  Speaker 1: ever heard of this guy before?
• 36:29
  Speaker 2: Nope.
• 36:32
  Speaker 1: Yeah, well, you're about to. Reed W. Reznor is a
• 36:37
  Speaker 1: Republican running for Wyoming's large U.S. House seat in 2026.
• 36:42
  Speaker 1: I actually think Wyoming has only... I'm not even joking
• 36:46
  Speaker 1: when I say this, bro. Ask your demon box how
• 36:47
  Speaker 1: many people live in Wyoming. I want to say it's
• 36:49
  Speaker 1: under 45,000 people, man.
• 36:52
  Speaker 2: In Wyoming?
• 36:53
  Speaker 1: In Wyoming, right. Ask your little demon box there how
• 36:56
  Speaker 1: many people live there, right. He is a Casper businessman
• 37:00
  Speaker 1: who campaigns as MAGA slash America First, right? Well, today,
• 37:05
  Speaker 1: or late last night, Jay, did you get that number yet?
• 37:10
  Speaker 2: Today, Wyoming has an estimated population of about 588,000 people.
• 37:18
  Speaker 1: Okay, so half of Baltimore. So that's basically what they
• 37:22
  Speaker 1: have there, right?
• 37:23
  Speaker 2: That's messed up, right?
• 37:23
  Speaker 1: So sparsely populated. Where did I get 46,000 from?
• 37:33
  Speaker 2: It's the least populated state in the United States.
• 37:36
  Speaker 1: Okay.
• 37:37
  Speaker 2: And that's not even the continental United States. That's all
• 37:40
  Speaker 2: of them. It's less populated than Alaska.
• 37:44
  Speaker 1: Really?
• 37:45
  Speaker 2: That's what it says right here. It is the least
• 37:47
  Speaker 2: populous state in the United States.
• 37:50
  Speaker 1: Bro, I bet Wyoming gets brutal winters, bro. Freaking brutal, dog.
• 37:54
  Speaker 2: I don't know. I don't really think about Wyoming very much.
• 37:58
  Speaker 2: Do you?
• 38:00
  Speaker 1: I like the Wyoming. I like that word, though. Wyoming.
• 38:05
  Speaker 2: It's a Native American word.
• 38:07
  Speaker 1: Wyoming, right? Anyways, he released a slogan. Good old-fashioned MAGA
• 38:14
  Speaker 1: candidate he is. Good old-fashioned. I'll toe the line. I'll
• 38:17
  Speaker 1: do what you say. And the slogan is Wyoming first.
• 38:24
  Speaker 1: America always. Israel forever. That's literally his post.
• 38:29
  Speaker 2: I didn't know I saw it. Yeah.
• 38:32
  Speaker 1: And he has an Israel flag over the half portion
• 38:36
  Speaker 1: of Wyoming. And I'm not making this up, y'all. On
• 38:40
  Speaker 1: a buffalo. It's weird. It's not the weirdest thing I've
• 38:42
  Speaker 1: seen today, but it's just kind of weird. And so, yeah,
• 38:46
  Speaker 1: he is getting absolutely positively eviscerated right now because, bro,
• 38:56
  Speaker 1: Israel forever. Wyoming first, America always, bro.
• 39:01
  Speaker 2: Wow. All right. Weird.
• 39:04
  Speaker 1: Weird. MAGA's fake, Jay.
• 39:06
  Speaker 2: It's fake. Just replace that with any other country. Yeah. Yeah.
• 39:11
  Speaker 1: Russia forever.
• 39:14
  Speaker 2: Right? Canada forever.
• 39:16
  Speaker 1: Canada forever.
• 39:17
  Speaker 2: Eh? Eh? Eh? Eh? Eh?
• 39:20
  Speaker 1: Canada forever, right?
• 39:21
  Speaker 2: Yeah. Germany forever. You replace it with any other any
• 39:27
  Speaker 2: other country right that's the dumbest thing i've ever heard.
• 39:32
  Speaker 1: So fun oh so freaking stupid so freaking sorry i
• 39:35
  Speaker 1: almost almost let that come flat on me so stupid
• 39:37
  Speaker 1: bro there's people are not smart right and again he'll
• 39:41
  Speaker 1: probably win because they cheat on everything but Man, I
• 39:45
  Speaker 1: don't get it, bro. You know what? There's a... Dang,
• 39:49
  Speaker 1: I wanted to send this to you today, man. There
• 39:51
  Speaker 1: is a general... They're not all generals. Some of them
• 39:55
  Speaker 1: were like colonels, lieutenant colonels. There's a think tank that's
• 39:59
  Speaker 1: on TikTok. You've seen this guy around before. He talks
• 40:03
  Speaker 1: a lot. But there's like a 50 of them, right?
• 40:06
  Speaker 1: Like 50 of these guys from all branches, right? Pete Hedsek,
• 40:10
  Speaker 1: three days ago, refused to promote five Army... officers to
• 40:15
  Speaker 1: one-star generals because they supported one of the guys that
• 40:21
  Speaker 1: he fired like six months prior to that, right? That's
• 40:24
  Speaker 1: going to start making the rounds here probably today or
• 40:27
  Speaker 1: tomorrow or whatever. But there's this think-take of these guys, right?
• 40:30
  Speaker 1: These guys have been around, some of them since Vietnam, right?
• 40:33
  Speaker 1: Like geopolitics or whatever. They have made a pretty staggering
• 40:42
  Speaker 1: war games, right? prediction. If you don't know what war
• 40:45
  Speaker 1: games is, guys, in the military, sometimes it is what
• 40:48
  Speaker 1: it is, exactly what it sounds like. Jay, tell them.
• 40:50
  Speaker 1: Do we just sit around.
• 40:52
  Speaker 2: And simulate invading a country or see what happens if
• 40:56
  Speaker 2: we do this?
• 40:56
  Speaker 1: See how it goes, right? These guys are saying there's
• 40:59
  Speaker 1: a strong possibility that Israel will not exist in 2027.
• 41:03
  Speaker 1: And like, when I say strong possibility, somewhere up to
• 41:06
  Speaker 1: like 65% in their war game scenarios that they were running.
• 41:09
  Speaker 1: And these guys have, like I said, they said that
• 41:13
  Speaker 1: there's a strong chance that the country of Israel will
• 41:16
  Speaker 1: just not exist anymore. And here's the reasons why a
• 41:20
  Speaker 1: lot of people are not talking about this. I didn't
• 41:23
  Speaker 1: know this was a thing either, right? That's how I
• 41:25
  Speaker 1: could tell these guys were dialed in. Israel's not getting supplies.
• 41:29
  Speaker 1: Israel's getting supplies by air. And I'm talking about like,
• 41:32
  Speaker 1: you know, the Straits of Hormuz being cut off. That's
• 41:35
  Speaker 1: how they were getting their food. Most of their medication
• 41:38
  Speaker 1: and stuff like that coming in, you know, like Amazon stuff, right?
• 41:41
  Speaker 1: And so they're saying that they are getting supplies somehow
• 41:47
  Speaker 1: flown in, you know, like groceries or whatever, whatnot, supply
• 41:51
  Speaker 1: chain stuff. But they also said that they're not reporting that, like,
• 41:55
  Speaker 1: a lot of these people have already left. They're just
• 41:57
  Speaker 1: not there. They don't know where they went. They're gone. Like,
• 42:02
  Speaker 1: the place is not nowhere near as densely as populated
• 42:05
  Speaker 1: as what we think it is, right? It's just gone, right?
• 42:10
  Speaker 1: And I didn't know that. So they were saying because
• 42:12
  Speaker 1: of basically supply train. I got to be careful here.
• 42:18
  Speaker 1: I don't want to I don't want to make fun
• 42:20
  Speaker 1: of like it's not right to starve people out. Right.
• 42:23
  Speaker 1: But it's kind of what they're doing, like fuel shortages
• 42:27
  Speaker 1: combined with infrastructure damaging combined with, you know, lack of medications,
• 42:34
  Speaker 1: stuff like that. Right. They're saying that's going to create
• 42:37
  Speaker 1: basically a snowball effect, Jay, where it just rolls downhill.
• 42:39
  Speaker 2: Right.
• 42:39
  Speaker 1: And you're going to end up creating this non-livable situation, right?
• 42:46
  Speaker 1: And they have to leave, right?
• 42:49
  Speaker 2: 270,000 in the last three years.
• 42:53
  Speaker 1: Have left?
• 42:55
  Speaker 2: Yeah.
• 42:55
  Speaker 1: And so that's what they're saying.
• 42:57
  Speaker 2: Then the greatest majority of them are, it rose by
• 43:02
  Speaker 2: 50% compared to rates before 2023. Yeah. Most of the
• 43:07
  Speaker 2: people leaving are under 40 years old.
• 43:10
  Speaker 1: Yeah, exactly. So yeah, so that's what's going on over there.
• 43:14
  Speaker 1: And they're saying it's not going to be bullets or
• 43:16
  Speaker 1: bombs that destroys this country. It's because this country just can't,
• 43:20
  Speaker 1: there's nothing there. There's nothing that's going to go on, right?
• 43:24
  Speaker 1: And it made me think about this guy who was talking, man,
• 43:29
  Speaker 1: I'm drawing blanks on people's names, but anyways, he had
• 43:32
  Speaker 1: this thing saying that in the Zionist movement, they believe
• 43:42
  Speaker 1: that a certain amount of these Jews have to die
• 43:46
  Speaker 1: or the Messiah won't come back. They won't be in
• 43:47
  Speaker 1: enough stress, right? Make it make sense. Make it make sense.
• 43:54
  Speaker 1: And that they are doing this on purpose. That they
• 43:57
  Speaker 1: are letting themselves get, you know, just devastated because the
• 44:03
  Speaker 1: Messiah is supposed to come back.
• 44:05
  Speaker 2: I think the whole thing is dumb.
• 44:07
  Speaker 1: It's so stupid. The thing that I looked at it,
• 44:13
  Speaker 1: not last night, but two nights ago, I was looking
• 44:15
  Speaker 1: at it on a map, right? I was just curious
• 44:18
  Speaker 1: about how, you know, because I have a contact in Jordan,
• 44:22
  Speaker 1: and they got lit up yesterday, big time, right? Big time, right?
• 44:26
  Speaker 1: And it's not getting covered on news, but Jordan got
• 44:28
  Speaker 1: lit up yesterday, big. Israel shot a missile into Iran,
• 44:33
  Speaker 1: and Iran sent like 3,600 drones, not just at Israel,
• 44:36
  Speaker 1: but like Sprinkled it everywhere. And I had to look
• 44:43
  Speaker 1: on the maps just to see how daggone far Israel
• 44:45
  Speaker 1: was away from Iran. It's a pretty strong clip, right?
• 44:49
  Speaker 1: And their accuracy, man, is impressive. That's how I know
• 44:53
  Speaker 1: the Chinese and the Russians are dialing in their satellites
• 44:56
  Speaker 1: or feeding them the coordinates on those drones to go
• 44:59
  Speaker 1: in there to do it. But yeah, man, it's just
• 45:05
  Speaker 1: that I don't understand why It only makes sense to
• 45:11
  Speaker 1: me that the guy might be right because I don't
• 45:14
  Speaker 1: know how anybody could look at that. And a lot
• 45:16
  Speaker 1: of generals and a lot of high-ranking military officials did
• 45:20
  Speaker 1: look at that and told our people, we're not going
• 45:25
  Speaker 1: to be able to win this. And they did it anyways, right?
• 45:27
  Speaker 1: Like literally looking at the situation, right? There's just no
• 45:30
  Speaker 1: way you could win, right? There's no way, right? It's
• 45:32
  Speaker 1: too much distance, right? Too much distance. And I don't
• 45:36
  Speaker 1: think they anticipated the accuracy of those guys firing back. Right.
• 45:40
  Speaker 1: And I think that's where they are. They're not rocking
• 45:42
  Speaker 1: the hard placement, but the whole thing is dumb.
• 45:43
  Speaker 2: Right.
• 45:44
  Speaker 1: So stupid. Right. Yeah.
• 45:46
  Speaker 2: So they're just convinced of there. I think that they
• 45:51
  Speaker 2: have this old idea, like it was going to be Iraq. Right.
• 45:54
  Speaker 2: Like the first Iraq where we just walked in and
• 45:56
  Speaker 2: people were like surrendering. Yeah. Right. And it's not going
• 46:00
  Speaker 2: to be like that. Not in Iran.
• 46:02
  Speaker 1: Not in Iran. Y'all need to understand, man. That's Persia, y'all.
• 46:07
  Speaker 2: Right?
• 46:07
  Speaker 1: You ever watch 300 with Xerxes walking around? That's Persia, right?
• 46:11
  Speaker 1: That's Persia, right? That's why when Trump did the Spartan...
• 46:16
  Speaker 1: Do you know... No, do you know that his side
• 46:19
  Speaker 1: piece runs his social media?
• 46:22
  Speaker 2: Yeah, she's the one with these tirades at 3 a.m.
• 46:26
  Speaker 2: on Truth Social.
• 46:29
  Speaker 1: And she has to carry around a portable printer because
• 46:32
  Speaker 1: he doesn't like reading them off the computer. So she
• 46:35
  Speaker 1: prints them out.
• 46:36
  Speaker 2: I've heard her called the human printer. Yeah.
• 46:38
  Speaker 1: And he reads them and he calls, he had the
• 46:41
  Speaker 1: audacity call us backwards and poor bro. You can't even
• 46:43
  Speaker 1: read on a cell phone, bro. Right.
• 46:45
  Speaker 2: And so, but anyways, he won't even read an Intel
• 46:47
  Speaker 2: brief that if it doesn't have his name in it
• 46:49
  Speaker 2: a couple of times.
• 46:50
  Speaker 1: Right.
• 46:52
  Speaker 2: Yeah. Like, so it is not, it's not, it's not good.
• 46:57
  Speaker 2: It's none of it is good.
• 46:59
  Speaker 1: Well, that's where it's at. And then on a funnier note,
• 47:06
  Speaker 1: the guy who's puppeting Ukraine right now was on TV
• 47:13
  Speaker 1: last night. And if you've never seen anybody doing too
• 47:17
  Speaker 1: much cocaine, go watch him. This dude was suited, bro. Man,
• 47:22
  Speaker 1: oh man alive, man. This dude was lit. I don't
• 47:25
  Speaker 1: know where he was going. I don't know where he
• 47:27
  Speaker 1: was coming from. But man, oh man alive, man. Zelensky,
• 47:30
  Speaker 1: that's his name. Zelensky was lit. Too many bumps, bro.
• 47:33
  Speaker 1: You got to slow down, little bro. I don't know
• 47:35
  Speaker 1: what's going on over there. I don't know what's going on,
• 47:37
  Speaker 1: but you need to slow down.
• 47:38
  Speaker 2: A little too much meth.
• 47:41
  Speaker 1: A little too much meth.
• 47:42
  Speaker 2: Oh, man.
• 47:42
  Speaker 1: He was hitting them slumps, dude. That was pure Colombian bam-bam, dude.
• 47:45
  Speaker 1: They were stepping out off of... I don't know where
• 47:48
  Speaker 1: he was going up his nose, right, bro? He was
• 47:50
  Speaker 1: lit up, right? And so, yeah, man. We'll see, bro.
• 47:55
  Speaker 1: We'll see how it goes. But on a good news, though,
• 47:58
  Speaker 1: in Trump's FDA or EPA... Approved the weed killer. That's
• 48:03
  Speaker 1: not good news. That's not good news. Approved the weed
• 48:06
  Speaker 1: killer triflutamoxicin for crops like corn, wheat, oats, soybeans, oranges
• 48:14
  Speaker 1: down here, Florida apples, peanuts, and almonds. And it's considered
• 48:19
  Speaker 1: a PFAS, which is basically a forever chemical, linked to
• 48:24
  Speaker 1: cancer because it's fluorinated and caused thyroid tumors in rats.
• 48:30
  Speaker 1: So why would you put weed killer on oranges and apples?
• 48:35
  Speaker 2: I don't know, man. Why does he do any of... Like,
• 48:39
  Speaker 2: why would you... It's a carcinogen.
• 48:43
  Speaker 1: Yeah, right? It's bad. This stuff is bad.
• 48:46
  Speaker 2: I thought we were supposed to be making America healthy again,
• 48:48
  Speaker 2: and we're going to spray everything with chemicals.
• 48:50
  Speaker 1: Ma!
• 48:51
  Speaker 2: That doesn't make... There's no.
• 48:55
  Speaker 2: There's no consistency.
• 48:56
  Speaker 1: Well, CJ, you don't understand that when you do. I'm sorry.
• 49:00
  Speaker 1: I shouldn't make fun of him. I actually like the dude, man.
• 49:02
  Speaker 2: I don't.
• 49:04
  Speaker 1: I know you don't like him.
• 49:04
  Speaker 2: He's just another dumbass.
• 49:07
  Speaker 1: Good book to read by him is a book called
• 49:10
  Speaker 1: The Real Anthony Fauci. It's right up your alley, dude.
• 49:13
  Speaker 1: You should go check that out, man. But yeah, I
• 49:15
  Speaker 1: don't get i don't get the uh again he's by
• 49:17
  Speaker 1: the way everybody's not he hasn't been arrested or in
• 49:19
  Speaker 1: jail so yeah just letting you guys know that right
• 49:22
  Speaker 1: so that the trials or what he was talking about
• 49:25
  Speaker 1: or whatever fake fake fake fake.
• 49:29
  Speaker 2: Did you see anyways did you see rfk bathing in
• 49:31
  Speaker 2: like the potomac no with his grandkids he was like
• 49:37
  Speaker 2: playing in the river it It was a couple months ago,
• 49:40
  Speaker 2: but it was just like, that was like one of
• 49:44
  Speaker 2: the worst polluted.
• 49:46
  Speaker 1: Don't go in the Potomac. It's got like feces in
• 49:49
  Speaker 1: it and stuff. No, it's got worse than that.
• 49:50
  Speaker 2: He was rolling around in there, swimming in it.
• 49:53
  Speaker 1: Don't go to the Potomac, man.
• 49:54
  Speaker 2: He's not okay, man. He's not all right.
• 49:57
  Speaker 1: You don't like him?
• 49:59
  Speaker 2: No.
• 49:59
  Speaker 1: I think he's restrained a little bit. Well, he's in
• 50:01
  Speaker 1: those emails, by the way, for sure. I don't know
• 50:05
  Speaker 1: to what extent.
• 50:06
  Speaker 2: I don't think any of the people that are in
• 50:09
  Speaker 2: any positions right now are competent at what they're doing.
• 50:14
  Speaker 2: They can't answer questions. There's no dignity left in the office. None.
• 50:22
  Speaker 1: No, there's not.
• 50:24
  Speaker 2: For whatever, you can criticize Bush, Reagan, Obama, Biden. At
• 50:31
  Speaker 2: least those guys had a little bit of dignity. At
• 50:35
  Speaker 2: least they were professional.
• 50:37
  Speaker 1: I would say, too, even when they were doing this evil,
• 50:42
  Speaker 1: wicked stuff, It wasn't an episode of Housewives of Atlanta
• 50:45
  Speaker 1: while it was going on, right? So, yeah, I mean, like,
• 50:48
  Speaker 1: if you're going to cook us, man, at least do it,
• 50:51
  Speaker 1: you know, not in like a soap opera fashion to
• 50:53
  Speaker 1: go into it. This whole thing about Chump's side piece, too,
• 50:57
  Speaker 1: is this will not go away. It will not go away.
• 50:59
  Speaker 2: Well, it's not going to go away. She's standing right
• 51:01
  Speaker 2: there all the time.
• 51:02
  Speaker 1: Yeah, and it's not going to go away. And the
• 51:04
  Speaker 1: thing about it is that he has no intention of
• 51:06
  Speaker 1: putting her to the side, right?
• 51:07
  Speaker 2: None. None. None.
• 51:09
  Speaker 1: And so, some pretty good memes coming out of there
• 51:11
  Speaker 1: as well, right? But she is one that they think
• 51:17
  Speaker 1: that they're together in the mornings at 2 o'clock and
• 51:19
  Speaker 1: she's the one that's sending out the tweets while they're
• 51:22
  Speaker 1: together at 2 o'clock in the morning or whatever, doing
• 51:24
  Speaker 1: things like that. Anyways. Changing gears here. Good news, Jay.
• 51:28
  Speaker 1: Good news here. Haven't talked about Japan in a couple episodes, everybody.
• 51:33
  Speaker 1: But in late August 2026, thousands of volunteers in this
• 51:36
  Speaker 1: place called Hirosaki... The Amorai Prefecture took turns pulling roughly three,
• 51:44
  Speaker 1: I'm sorry, roughly 400 ton wooden keep of Hiroskoski Castle
• 51:52
  Speaker 1: towards its original stone base, right? This three-story Edo period
• 51:57
  Speaker 1: tower had been shifted by 80 meters in 2015 because
• 51:59
  Speaker 1: it caused earthquakes and stuff like that. Then there was
• 52:01
  Speaker 1: the walls, right? Go type this in to YouTube and
• 52:07
  Speaker 1: watch this video.
• 52:08
  Speaker 2: It is- That's cool, isn't it?
• 52:10
  Speaker 1: Awesome. Oh, it's so amazing, right? It's so awesome, right?
• 52:14
  Speaker 1: And what they do, they use an old Japanese method
• 52:16
  Speaker 1: called hika, hika, right?
• 52:18
  Speaker 2: Hikiaki.
• 52:20
  Speaker 1: Hikiaki, however you pronounce it, where basically 80 people at
• 52:24
  Speaker 1: a time would take turns just chanting and pulling long
• 52:29
  Speaker 1: ropes just to slowly, I'm talking about slowly, move this
• 52:33
  Speaker 1: bad boy into place, right? And they chanted and sang
• 52:36
  Speaker 1: along the whole time. They were moving... This is so Japanese.
• 52:43
  Speaker 1: They were moving it just a few centimeters at a time, y'all.
• 52:45
  Speaker 1: It took them a hot minute to get it done, man.
• 52:47
  Speaker 1: About 80,000 people applied for it, right?
• 52:50
  Speaker 2: No, 8,000.
• 52:52
  Speaker 1: I'm sorry, 8,000 people applied and 1,000 enter slots on
• 52:55
  Speaker 1: some days. And 4,000 people took part in all, right? Man,
• 53:01
  Speaker 1: they moved it several meters, right? Man.
• 53:05
  Speaker 2: It sounds fun. It sounds like an event, right?
• 53:08
  Speaker 1: I would do it. It sounds like it would be
• 53:12
  Speaker 1: a lot of fun. Just pull it back. Just pull
• 53:14
  Speaker 1: it back. Hayaki, hayaki, hayaki, right?
• 53:16
  Speaker 2: They'll turn that stuff into a party, man. And a
• 53:19
  Speaker 2: Japanese party is fun, believe it or not.
• 53:23
  Speaker 1: They have a lot of festivals over there, right? The
• 53:25
  Speaker 1: best festival I ever went to was... Cherry Blossom Festivals, man,
• 53:31
  Speaker 1: are amazing, right? It's a really good time. Some people
• 53:33
  Speaker 1: would go to these fertility festivals... But we also went
• 53:35
  Speaker 1: to a couple of beer garden festivals. That was pretty
• 53:37
  Speaker 1: good back in the day. But yeah, so they're going
• 53:40
  Speaker 1: to reopen this place in 2033, right? So a minute
• 53:42
  Speaker 1: for that. But I also want a fun fact. I've
• 53:46
  Speaker 1: talked about this before. Japan has a aging out situation
• 53:52
  Speaker 1: going on in Japan. And two days ago, for you
• 53:56
  Speaker 1: young men listening to the show out here, if you
• 53:58
  Speaker 1: have the adventurous side into you, Japan also has a
• 54:01
  Speaker 1: new program they're going to launch this week. And this, again,
• 54:04
  Speaker 1: is very Japanese-like. Japan have crunched the numbers and they
• 54:09
  Speaker 1: have an aging out population also of business owners. And
• 54:15
  Speaker 1: these business owners do not have any descendants to leave
• 54:18
  Speaker 1: their businesses to. So Japan is starting a program where
• 54:23
  Speaker 1: qualified individuals, you have to apply for an application, you'll
• 54:26
  Speaker 1: have to do X, Y, and Z. The business owner
• 54:28
  Speaker 1: will have to select you. He will bring you to
• 54:32
  Speaker 1: Japan and You will live there. He will train you
• 54:36
  Speaker 1: as his apprentice. And when he passes away, you will
• 54:38
  Speaker 1: inherit his business, right?
• 54:41
  Speaker 2: Bro.
• 54:42
  Speaker 1: And some of these businesses now, I didn't send this
• 54:45
  Speaker 1: to Jay, man. Pretty cool. You want to hear a
• 54:47
  Speaker 1: few of these businesses, Jay?
• 54:49
  Speaker 2: Yeah, absolutely.
• 54:50
  Speaker 1: So first of them is sushi chefs. If you want
• 54:53
  Speaker 1: to go over there and do that or whatever. Second
• 54:56
  Speaker 1: one is, is Japanese carpenters. And if you don't know
• 55:00
  Speaker 1: what a Japanese carpenter is, right, Jay, break it down.
• 55:03
  Speaker 1: You want to tell them what a Japanese carpenter is, Jay?
• 55:05
  Speaker 2: They have a lot of, like, I don't know a
• 55:07
  Speaker 2: lot about it, but from what I've seen, there's a
• 55:09
  Speaker 2: lot of, they're very skilled carpenters in that they don't
• 55:14
  Speaker 2: really use nails. They use joining.
• 55:17
  Speaker 1: They don't use not one single nail. They join by.
• 55:19
  Speaker 2: Cutting, you know, specific shapes. And it's very, very, very cool.
• 55:25
  Speaker 1: Old school, very old school. No nails whatsoever, right? Because
• 55:30
  Speaker 1: the reason why they don't use nails is because Japan
• 55:31
  Speaker 1: has a lot of microquakes, right? A lot of micro shakes, right?
• 55:34
  Speaker 2: Right.
• 55:34
  Speaker 1: And so these houses, right, have to be able to
• 55:37
  Speaker 1: move back and forth. No nails, right?
• 55:39
  Speaker 2: Yeah.
• 55:40
  Speaker 1: That's one over there. Second one over here I thought
• 55:43
  Speaker 1: was pretty cool. I threw on the list, Jay. It's just, oh,
• 55:45
  Speaker 1: you want to learn how to make samurai swords? Blacksmithing
• 55:48
  Speaker 1: samurai swords over there, especially when you go north of Tokyo,
• 55:52
  Speaker 1: heading north up there.
• 55:54
  Speaker 2: Will they accept a 50-year-old man to come be a blacksmith?
• 55:56
  Speaker 2: Because I would do that in a second.
• 55:58
  Speaker 1: Exactly. Bladesmithing. Bladesmithing is a thing over there. Also because
• 56:02
  Speaker 1: bladesmithing in Japan is considered a tradition, right? The samurai
• 56:07
  Speaker 1: sword was invented in Japan, right? And it's a tradition
• 56:11
  Speaker 1: that passed on over there. And the way they originally
• 56:13
  Speaker 1: do it, again, is amazing. Go on YouTube and watch
• 56:18
  Speaker 1: how they make these swords. That's one where I have
• 56:20
  Speaker 1: to go on there. Another one over here that I
• 56:22
  Speaker 1: thought was kind of awesome right is chocolate do you
• 56:27
  Speaker 1: want to make chocolate they have a lot of a
• 56:30
  Speaker 1: lot of chocolate chocolate tears over there right so you
• 56:33
  Speaker 1: know sweets and stuff like that they go in there
• 56:35
  Speaker 1: to look at it as well right those are just
• 56:38
  Speaker 1: a few of the ones that i grabbed that i
• 56:39
  Speaker 1: thought would be pretty cool the one that i thought
• 56:41
  Speaker 1: obviously the samurai sword one is just totally so.
• 56:44
  Speaker 2: Cool dude can you imagine i watched a long special
• 56:46
  Speaker 2: on how they do that with like the furnace and
• 56:49
  Speaker 2: coal and Like everybody's sitting there pumping and it's like
• 56:53
  Speaker 2: a two-day process to get the metal right. It's awesome, dude.
• 56:56
  Speaker 1: Fun fact, Dave. Do you know what the average time
• 56:59
  Speaker 1: to finish from start to completion a katana in Japan
• 57:05
  Speaker 1: using the methods these guys are looking to pass down?
• 57:07
  Speaker 1: 30 days.
• 57:10
  Speaker 2: Yeah, that's what I thought.
• 57:12
  Speaker 1: It takes 30 days. It takes 30 days, right?
• 57:14
  Speaker 2: That's not surprised me.
• 57:16
  Speaker 1: Because people say, why does it take 30 days? Because there, there, there, there,
• 57:19
  Speaker 1: there's no machines. They're doing this by hand. And also
• 57:23
  Speaker 1: along the way, fun fact for you here along the
• 57:26
  Speaker 1: way is that when they cool the blade and when
• 57:31
  Speaker 1: they do this other stuff, they, they have, they, they
• 57:33
  Speaker 1: let it wait, right? So they'll use a special type
• 57:36
  Speaker 1: of water. They'll use a special type of rice paper
• 57:40
  Speaker 1: and then they'll let it wait and they'll have to
• 57:42
  Speaker 1: wait because when the, uh, This is just fun fact here.
• 57:46
  Speaker 1: Fun stuff, right? As we wrap it up today in
• 57:48
  Speaker 1: the good news, Japanese believes that samurai swords contain the
• 57:52
  Speaker 1: soul of the person that will eventually own the sword.
• 57:56
  Speaker 1: So back in the day when a samurai was getting
• 57:59
  Speaker 1: his sword made, the only two people that only people
• 58:03
  Speaker 1: that were allowed to touch the sword were originally samurai.
• 58:06
  Speaker 1: where the master and his apprentice that were doing it,
• 58:10
  Speaker 1: and then the sword would go directly to the hands
• 58:13
  Speaker 1: of the samurai, right? It was a big deal, right?
• 58:16
  Speaker 1: It's the whole big lawn out thing, right? And today
• 58:19
  Speaker 1: they still do those. You can go over there for,
• 58:22
  Speaker 1: I don't want to say it looks up for about $ 3, 000.
• 58:23
  Speaker 1: I don't know where I look that up from, right?
• 58:24
  Speaker 2: For about $ 3, 000, right?
• 58:25
  Speaker 1: You can get your own katana made from, And go
• 58:35
  Speaker 1: through the ceremony where the guy will present you your katana.
• 58:40
  Speaker 1: And here's a fun fact for that. Japan will actually
• 58:44
  Speaker 1: package it up, do all the paperwork to let you
• 58:46
  Speaker 1: bring it through the airport back to America to come
• 58:50
  Speaker 1: into it, right? Under a martial law, martial artist type
• 58:53
  Speaker 1: of thing. It's pretty awesome, right, Jake? Pretty awesome. There
• 58:55
  Speaker 1: was a ton of jobs on here too, man, like
• 58:56
  Speaker 1: painters and all this other stuff on here. I just
• 58:58
  Speaker 1: grabbed like the first ones that I thought was cool.
• 59:00
  Speaker 1: The carpenter one, man, I think that was pretty awesome.
• 59:02
  Speaker 2: That was cool too. Yeah. Because that is a really, like,
• 59:06
  Speaker 2: there's just this craftsmanship, this appreciation for craftsmanship in Japan.
• 59:13
  Speaker 1: Yeah, for sure, right? 100%, right? You want to see
• 59:17
  Speaker 1: a good time, man. Obviously, if you go to Japan,
• 59:21
  Speaker 1: I recommend you do at least two weeks in Japan.
• 59:24
  Speaker 1: Jet lag's pretty harsh. Yeah, for sure. But you should
• 59:31
  Speaker 1: definitely take a train to north of at least Osaka, right?
• 59:37
  Speaker 1: You can look Osaka up on a map, right? And
• 59:40
  Speaker 1: go into the countrysides and look at these villages that
• 59:43
  Speaker 1: are still there, right? That's the craftsmanship. Or go watch Shogun,
• 59:47
  Speaker 1: something like that. That's what it looks like, right? To
• 59:50
  Speaker 1: go into it, man. Anyways, I thought that was cool, bro.
• 59:52
  Speaker 1: But which one would you go after?
• 59:55
  Speaker 2: Oh, dude, it would either be the carpentry or the blacksmith.
• 59:59
  Speaker 1: Yeah, Believe, right?
• 1:00:01
  Speaker 2: One of those two, for sure. I would love to
• 1:00:03
  Speaker 2: learn Japanese carpentry. I think it's super cool, just the
• 1:00:10
  Speaker 2: way that they worked that out.
• 1:00:12
  Speaker 1: 1.8 million businesses don't have a successor over there by estimate, right?
• 1:00:15
  Speaker 1: Could be as high as 2.2 million businesses don't have
• 1:00:17
  Speaker 1: a successor over there, right? Also, man, there was ramen
• 1:00:19
  Speaker 1: noodle shacks, all kinds of stuff like that as well, right?
• 1:00:22
  Speaker 1: I'd be a ramen chef. Bro, remember when we used
• 1:00:26
  Speaker 1: to eat those beef bowls, right? 500 years?
• 1:00:28
  Speaker 2: Yoshinoya. Oh, yeah. That was the best thing on a
• 1:00:32
  Speaker 2: late night.
• 1:00:33
  Speaker 1: Late night, right on the corner, man. That's the thing
• 1:00:35
  Speaker 1: about Japan, man, that I like, man, is those type
• 1:00:37
  Speaker 1: of stuff. Anyways, guys, so I'm telling you, you young
• 1:00:39
  Speaker 1: men in the world right now, if you don't know
• 1:00:41
  Speaker 1: what you want to do in life and you have
• 1:00:43
  Speaker 1: that adventure in you, Japan has your number written all over.
• 1:00:49
  Speaker 1: I did look because I wanted to get some information
• 1:00:51
  Speaker 1: together here before we wrap it up. You do have
• 1:00:54
  Speaker 1: to apply.
• 1:00:55
  Speaker 2: Okay.
• 1:00:55
  Speaker 1: You do have to apply. You have to pass some
• 1:00:58
  Speaker 1: checks over there and some checks and balances over there.
• 1:01:00
  Speaker 1: It's not rubber stamp. The Japanese are very listigious, right?
• 1:01:04
  Speaker 1: If you're running from something, you ain't getting in.
• 1:01:07
  Speaker 2: Oh, yeah. No, if you got a record, just walk away.
• 1:01:13
  Speaker 1: Go to Canada. Go to Canada and do whatever you
• 1:01:16
  Speaker 1: do up there. Tomorrow, you're not here, Jay.
• 1:01:20
  Speaker 2: Nope.
• 1:01:20
  Speaker 1: Jay is not here tomorrow. That's what Steve Tedder said.
• 1:01:23
  Speaker 1: He's going to, he's going to chip in tomorrow to
• 1:01:24
  Speaker 1: keep me, hang out with me again. Jay is, Jay is,
• 1:01:28
  Speaker 1: you know, teaching.
• 1:01:29
  Speaker 2: You know, Kung Fu. No, tomorrow night is trivia night
• 1:01:32
  Speaker 2: at the, the, at Applebee's? At, it's a place called
• 1:01:39
  Speaker 2: Sign of the Horse.
• 1:01:40
  Speaker 1: Sign of the Horse. Or the Moose Lodge, right? Not
• 1:01:42
  Speaker 1: the Moose Lodge, right? So Jay will not be with us,
• 1:01:44
  Speaker 1: but I'll be here tomorrow. So guys, Thanks for hanging
• 1:01:47
  Speaker 1: out with us. We're about to wrap this up here.
• 1:01:48
  Speaker 1: This is Enigma Daily. It's our second channel over here.
• 1:01:50
  Speaker 1: We are basically an audio-only podcast, but if you have
• 1:01:54
  Speaker 1: to watch us on video, this is the only place
• 1:01:56
  Speaker 1: where we post it up over here. If you want
• 1:01:58
  Speaker 1: to see some of our bigger work, head over to
• 1:02:00
  Speaker 1: the Ancient Enigma Files. Check out our main show over there, EnigmaCast.
• 1:02:02
  Speaker 1: By the way, EnigmaCast just got picked up by YouTube
• 1:02:04
  Speaker 1: and recognized as an official show. So we have seasons, son.
• 1:02:08
  Speaker 1: Seasons one, two, and halfway through season three, right? And
• 1:02:11
  Speaker 1: that's really good because we get pushed now to recommendations.
• 1:02:15
  Speaker 1: We've been moved into the recommend show category, which is
• 1:02:18
  Speaker 1: pretty cool and other stuff like that. However, what we
• 1:02:22
  Speaker 1: just talked about We keep you company on the way
• 1:02:24
  Speaker 1: to work, man. So jump into Spreaker, Spotify, wherever you
• 1:02:26
  Speaker 1: hang out and we'll kick it with you. So Jay,
• 1:02:28
  Speaker 1: as always, big dog, thanks for hanging out, man. I
• 1:02:30
  Speaker 1: will see you on Friday for sure. And because we
• 1:02:34
  Speaker 1: will not have a show on Thursday, but I'll be
• 1:02:35
  Speaker 1: back tomorrow on Wednesday and we'll see you on Friday.
• 1:02:37
  Speaker 1: So Jay, you know what we do, big dog? That's
• 1:02:40
  Speaker 1: all they get for a dollar. And we're out.
• 1:02:42
  Speaker 2: Subscribe now and turn on notifications to join us on
• 1:02:45
  Speaker 2: this extraordinary journey into the unknown.