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Mass Layoffs, Mass Surveillance… What’s Really Going On? · The Enigma Daily

• 0:00
  Speaker 1: Say what you want to about twenty twenty six, but
• 0:02
  Speaker 1: there's several things that can't be denied. In fact, it's
• 0:05
  Speaker 1: almost proof positive to what Jay has been saying a
• 0:07
  Speaker 1: long time, that we have crossed into a point of
• 0:11
  Speaker 1: no return in a advance in our civilization, to the
• 0:17
  Speaker 1: fact that the event horizon has been crossed, and no
• 0:21
  Speaker 1: matter what happens moving forward from this day forth, we
• 0:25
  Speaker 1: will never go back to the way it was once
• 0:28
  Speaker 1: upon a time. That's simple. Everybody talks about how our
• 0:32
  Speaker 1: government is controlled by evil demon worship people and focusing
• 0:37
  Speaker 1: on wars and stuff like that. However, the nuances actually
• 0:41
  Speaker 1: on the back end that are affecting people is the
• 0:45
  Speaker 1: rise of AI, how it's affecting the workforce, how the
• 0:48
  Speaker 1: United States government refuses to give up any type of
• 0:53
  Speaker 1: power that they've been stated since nine to eleven went down,
• 0:56
  Speaker 1: and also how people in the United States of America
• 1:00
  Speaker 1: are slowly but surely and rapidly and in a very
• 1:03
  Speaker 1: aggressive manner revolting against the I R S and refusing
• 1:06
  Speaker 1: to pay taxes in a long way. So, having said that, Jay,
• 1:10
  Speaker 1: how are you doing, buddy?
• 1:12
  Speaker 2: I'm doing all right today. You doing right?
• 1:16
  Speaker 1: You're doing all right, that's all. That's good man, that's good,
• 1:19
  Speaker 1: all right. So Jay, I just said a mouthful man,
• 1:21
  Speaker 1: and and you know you're my you're my sounding board.
• 1:23
  Speaker 2: There.
• 1:24
  Speaker 1: Did I say anything out of step right of line?
• 1:26
  Speaker 1: That's or no?
• 1:27
  Speaker 2: I mean that that That pretty much sums it up. Man.
• 1:32
  Speaker 2: I was like minutes before we got on air, I
• 1:35
  Speaker 2: was looking at an interview between Tom I don't even
• 1:41
  Speaker 2: know how to pronounce his last name, Tom Bill you
• 1:44
  Speaker 2: and a doctor that I've been following for like about
• 1:47
  Speaker 2: a decade decade now, uh, doctor David Sinclair, right, and
• 1:53
  Speaker 2: and David, doctor Sinclair, I believe is as far as
• 1:58
  Speaker 2: I'm concerned, I think he's really close to figuring out immortality.
• 2:04
  Speaker 2: So just to add that to your.
• 2:05
  Speaker 1: List, just add that on there.
• 2:06
  Speaker 2: Right.
• 2:06
  Speaker 1: Not only are their jobs going away, but we're very
• 2:08
  Speaker 1: close to living for extremely long times. So Jay and
• 2:13
  Speaker 1: I actually have a some intimate knowledge about exactly what's
• 2:17
  Speaker 1: going on. We were both naval intelligence several years held
• 2:22
  Speaker 1: the highest government clearances that you could get. Yes, they'll
• 2:25
  Speaker 1: give them to anybody for you ask second on that,
• 2:28
  Speaker 1: we transitioned out of the military, and we were and
• 2:33
  Speaker 1: again when I look back at our colleagues, Jay, and
• 2:35
  Speaker 1: some of our friends that we were with in the
• 2:37
  Speaker 1: military doing what we did. A lot of them went
• 2:42
  Speaker 1: a completely different route. You and I leaned into the
• 2:45
  Speaker 1: you know it field aspect of the situations right where
• 2:48
  Speaker 1: you know where we were out there, you know, taking
• 2:51
  Speaker 1: what we had learned and you know, leveraging it moving forward.
• 2:57
  Speaker 1: We know people that went right into construction and that
• 2:59
  Speaker 1: went in to right into doing drywall and right huh yeah, yeah,
• 3:04
  Speaker 1: right holes man never been happier, just went right into
• 3:08
  Speaker 1: it the whole other ways. So and also to Jay
• 3:11
  Speaker 1: and I were very fortunate. We caught the we caught
• 3:14
  Speaker 1: the rise of the tech bubble, and we rowed up.
• 3:18
  Speaker 1: We rode those waves for several long times, but we
• 3:20
  Speaker 1: also moved into I myself had enough pop smoke jumped out,
• 3:29
  Speaker 1: but Jay actually continued to lead into very high into AI.
• 3:33
  Speaker 1: Jay is very big into the AI programs, very big
• 3:35
  Speaker 1: into studying the research. I myself to show you how
• 3:40
  Speaker 1: vast our paths have diverged. I on multiple occasions know
• 3:44
  Speaker 1: that I'm talking to a machine, and I've cussed out
• 3:47
  Speaker 1: several times. I went I went out of my way
• 3:49
  Speaker 1: to type some rude stuff to it.
• 3:51
  Speaker 2: Right.
• 3:52
  Speaker 1: So yeah, but Jay, unfortunately, my guy, it kind of
• 3:58
  Speaker 1: is what it is, man. And so let me let
• 4:00
  Speaker 1: me throw some numbers at you here real quick, and
• 4:02
  Speaker 1: then I'm going to throw it back at you and
• 4:04
  Speaker 1: then we can get into it.
• 4:05
  Speaker 2: Right.
• 4:05
  Speaker 1: These are fresh off the docket, you know, job reports
• 4:09
  Speaker 1: first quarter twenty twenty six. You have again I'm quoting hard,
• 4:15
  Speaker 1: hard data right here. This is not speculation. Early twenty
• 4:18
  Speaker 1: twenty six, the tech sector surged in the mass layoffs.
• 4:21
  Speaker 1: Artificial intelligence has officially replaced over estimated fifty thousand to
• 4:27
  Speaker 1: seventy eight thousand jobs. Now, to tell you what that
• 4:31
  Speaker 1: really means is probably north of one hundred Cape jobs's replaced.
• 4:34
  Speaker 1: They're trying to you know, probably something that, right, But
• 4:37
  Speaker 1: that's forty to fifty percent of the companies directly attribute
• 4:40
  Speaker 1: to AI effectiveness and automation cutting jobs in half. You know,
• 4:44
  Speaker 1: I'm not going to go off with all the major
• 4:46
  Speaker 1: players here because some of these companies are just cutthroat
• 4:49
  Speaker 1: to begin with, right, But I saw this coming, so
• 4:55
  Speaker 1: did you. AI now writes sixty five percent of all
• 5:00
  Speaker 1: coding done probably abroad as well. You can back me
• 5:05
  Speaker 1: up on this jig.
• 5:07
  Speaker 2: Yeah, So a statement from Anthropic or like inside information
• 5:13
  Speaker 2: from Anthropic, which is one of the big AI companies, well,
• 5:17
  Speaker 2: one of what I would consider the big three, right
• 5:20
  Speaker 2: American ones, so Open AI, Anthropic, and Google. Of course,
• 5:24
  Speaker 2: you know Anthropic is in the lead right now, right,
• 5:30
  Speaker 2: they kind of like came from came from the bottom
• 5:33
  Speaker 2: and rocketed to the top.
• 5:35
  Speaker 1: Right, that's Claude, right, yeah.
• 5:38
  Speaker 2: Yeah, yeah, And I've worked a lot with Claude, Like,
• 5:45
  Speaker 2: I've worked with all three of them really and probably
• 5:48
  Speaker 2: a bunch more. But yeah, that one they're saying at Anthropic.
• 5:56
  Speaker 2: The information I have is that of the code generated
• 6:03
  Speaker 2: at Anthropic is generated by Claude. Yeah, within their own company.
• 6:08
  Speaker 2: Now that doesn't translate out sure, but I know that.
• 6:12
  Speaker 2: I do know that the trend now is vibe coding.
• 6:16
  Speaker 2: I hate that terminology, but that's that's what the kids,
• 6:19
  Speaker 2: It's what the kids are saying. Right.
• 6:20
  Speaker 1: I hate when you drama kids try to make up
• 6:22
  Speaker 1: cool words for yourself. Right when realize you know you
• 6:24
  Speaker 1: haven't been slapping about it, you haven't been slapped in
• 6:26
  Speaker 1: a year, so you forget that. You're just a nerd
• 6:28
  Speaker 1: to get back in there, get back in that closet,
• 6:30
  Speaker 1: make me something cool.
• 6:31
  Speaker 2: Blame Andre Carpathy. He's the one who coined the phrase. Yeah,
• 6:36
  Speaker 2: it was. It's but I mean, it's not a horrible description.
• 6:41
  Speaker 2: It's just it's just very gen Z. Not that I
• 6:45
  Speaker 2: have anything against gen Z, but it's just but it is,
• 6:50
  Speaker 2: it's fairly accurate, man. So essentially what happens is you
• 6:55
  Speaker 2: have a coding assistant and you say, hey, I would
• 6:57
  Speaker 2: like a Python program that does X, Y and Z, right,
• 7:02
  Speaker 2: and depending on what your level of knowledge is there
• 7:07
  Speaker 2: will also determine the level of coding you get.
• 7:10
  Speaker 1: Right.
• 7:11
  Speaker 2: There's a lot of factors there, but for simple things,
• 7:15
  Speaker 2: you can't beat it. I mean it's something that would
• 7:18
  Speaker 2: take somebody like just a simple like Python script to
• 7:21
  Speaker 2: do like a backup. Right, Hey, I need to back
• 7:24
  Speaker 2: up this drive to that drive. Can you give me
• 7:28
  Speaker 2: a Python script that does that?
• 7:31
  Speaker 1: Yeah?
• 7:31
  Speaker 2: For stuff like that, it is it is irreplaceable, man,
• 7:34
  Speaker 2: because it'll nail it every time.
• 7:36
  Speaker 1: Yeah, and for people turning into our shows. Again, if
• 7:40
  Speaker 1: you might not be familiar with how coding used to work.
• 7:43
  Speaker 1: Back in the day, a coding shop used to have
• 7:45
  Speaker 1: anywhere from seven to ten guys in there, and what
• 7:47
  Speaker 1: they would do is they would take a project and
• 7:49
  Speaker 1: they would break it off into chunks, usually two man teams,
• 7:53
  Speaker 1: and then they would start writing thousands and thousands and
• 7:55
  Speaker 1: thousands of lines of code. Now with AI, and it's
• 7:59
  Speaker 1: all there's always errors, you forget, you forget something in there.
• 8:03
  Speaker 1: It takes months, sometimes years, right to really roll some
• 8:08
  Speaker 1: get code together. With AI, two guys can do the
• 8:12
  Speaker 1: job of ten guys, and AI can do it in
• 8:16
  Speaker 1: forty five minutes. And then run down errors like nobody's
• 8:19
  Speaker 1: the big thing about coding is running down errors, right,
• 8:21
  Speaker 1: running down the brakes, right, we can go into it
• 8:24
  Speaker 1: and so and again that's not a bad thing. It's
• 8:30
  Speaker 1: not a bad thing, right, it's not a bad thing
• 8:32
  Speaker 1: when you can increase uh, you know, productivity, accuracy.
• 8:37
  Speaker 2: Right.
• 8:39
  Speaker 1: But but here's but.
• 8:44
  Speaker 2: I would say, we're going to err on the side
• 8:46
  Speaker 2: of it's not a bad thing, you know, but the
• 8:49
  Speaker 2: needle's not all the way in one.
• 8:50
  Speaker 1: Hundred right, correct, Like it's not fully Again, I think
• 8:54
  Speaker 1: AI right now is actually kind of stupid. I really do.
• 8:56
  Speaker 1: I think it's kind of stupid because the people that
• 8:59
  Speaker 1: program the are stupid. They don't have any common sense.
• 9:03
  Speaker 2: Yeah, So I mean I can I can give you
• 9:05
  Speaker 2: the quick rundown and we'll come back to that.
• 9:06
  Speaker 1: Yeah. So, for example, I knew someone on die Garcia.
• 9:11
  Speaker 1: I'm not going to tell you her name, but this person,
• 9:14
  Speaker 1: this girl on a whiteboard with a with a with
• 9:18
  Speaker 1: a with a sharpie, could map out satellite trajectories like
• 9:23
  Speaker 1: you had nobody's business man, faster than any computations we've
• 9:27
  Speaker 1: ever seen. She was amazing. She actually thought Forrest Gump
• 9:32
  Speaker 1: was a true story. I'm not making that up right.
• 9:34
  Speaker 1: I had to explain to her that Forrest Gump was
• 9:36
  Speaker 1: not a true story, that that was just the movie.
• 9:38
  Speaker 1: And I actually told her one time that the X
• 9:40
  Speaker 1: Files was real, and she told eight other people that
• 9:42
  Speaker 1: the X Files was real before I told her that
• 9:44
  Speaker 1: it's not real. Right, you have intelligence and then you
• 9:48
  Speaker 1: have wisdom.
• 9:50
  Speaker 2: Right, so it's a spectrum.
• 9:52
  Speaker 1: It's a spectrum. But man, she was smart. She she
• 9:55
  Speaker 1: could grind. As a matter of fact, Man, if I
• 9:57
  Speaker 1: was ever in in in in in the in the
• 9:59
  Speaker 1: field and needed up and done quick dialed in, That's
• 10:02
  Speaker 1: who I would want on the back end, dialing it
• 10:04
  Speaker 1: in right there. But but I think AI right now
• 10:08
  Speaker 1: has no common sense, and I think that it's also uh,
• 10:13
  Speaker 1: it's funny. Every time a rowe an AI goes rogue,
• 10:15
  Speaker 1: it turns into a racist. I actually think that's funny
• 10:20
  Speaker 1: because I got a sense of humor, right, I actually
• 10:22
  Speaker 1: think that's fun right. Yeah, so it depends, right, So.
• 10:28
  Speaker 2: You're right, they're not they have no common sense. Yeah
• 10:32
  Speaker 2: like that. That is just the nature of the thing, right. Uh,
• 10:39
  Speaker 2: there's a lot of limitations there. I don't want to
• 10:43
  Speaker 2: take the whole episode because I could explaining AI. We'll
• 10:49
  Speaker 2: do the we'll do the reader's digest version. If anybody
• 10:51
  Speaker 2: remembers what the reader's digest is, uh, spark notes, whatever it's.
• 10:57
  Speaker 2: It's essentially it's a sheet of paper, right, So an
• 11:06
  Speaker 2: AI is just this right, So when you start out,
• 11:14
  Speaker 2: it's just a blank sheet of paper. Now I say
• 11:17
  Speaker 2: blank sheet of paper. But most often there's like this
• 11:20
  Speaker 2: this thing up at the top that tells it, hey,
• 11:24
  Speaker 2: don't teach them how to build a bomb. Yeah, yeah,
• 11:29
  Speaker 2: don't do any dangerous things like That's that's some rules
• 11:32
  Speaker 2: up there, right. But by and large, what it is
• 11:36
  Speaker 2: is you write something, right, You write a line, and
• 11:40
  Speaker 2: then you send it. It reads that line, it's instructions
• 11:45
  Speaker 2: and reads that line and then does it calculation. Right.
• 11:50
  Speaker 2: It checks all of the little pieces of words that
• 11:52
  Speaker 2: are in what you wrote, not even the whole words,
• 11:54
  Speaker 2: but just pieces of them, right, and puts together the
• 12:00
  Speaker 2: most probable answer to that sequence of words. Right. So
• 12:04
  Speaker 2: when they say when they say it's just auto like
• 12:07
  Speaker 2: predictive text on steroids, they're not one hundred percent wrong, right.
• 12:14
  Speaker 2: There is some total knowledge of human existences in some
• 12:20
  Speaker 2: of these AI right. They train it. So by training,
• 12:25
  Speaker 2: what you're doing is you're teaching it to connect those
• 12:28
  Speaker 2: little word dots inside of itself, like th h is
• 12:34
  Speaker 2: most often you know uh at the end of the
• 12:40
  Speaker 2: word th. There's always an e there right in English.
• 12:45
  Speaker 2: So it will kind of encapsulate that rule inside of itself.
• 12:50
  Speaker 2: But that's all it's doing. It doesn't there's no like
• 12:53
  Speaker 2: deeper understanding there and probability copulaty.
• 12:57
  Speaker 1: Exactly, and also too, it'll never achieve its potential and
• 13:01
  Speaker 1: a contained environment because the people feeding it the parameters
• 13:04
  Speaker 1: on it, will feed it the things that they want,
• 13:06
  Speaker 1: and it won't ever develop into I believe I could
• 13:10
  Speaker 1: be wrong on this, No, I'm pretty sure I'm right.
• 13:12
  Speaker 1: It won't ever develop into its own self awareness form. Well,
• 13:16
  Speaker 1: they'm already. They might already, they might already have one
• 13:18
  Speaker 1: of those in some shape or the other. But it
• 13:21
  Speaker 1: won't ever become self aware chained in a box, right, Yeah.
• 13:24
  Speaker 2: It's in its current form, like, there's just some base
• 13:27
  Speaker 2: limitations there that that keep it from happening. Now, the
• 13:34
  Speaker 2: danger isn't a The current version of AI what everyone's
• 13:38
  Speaker 2: based everything on called the Transformers model, right, So most
• 13:43
  Speaker 2: of these ll ms, these large language models, are based
• 13:46
  Speaker 2: on this technology called Transformers. Anything that's kind of anything
• 13:52
  Speaker 2: that's Transformers based is not going to come and kill us, all.
• 13:57
  Speaker 1: Yeah, it won't happen. It won't happen, right, Yeah, for sure.
• 14:00
  Speaker 2: Because it doesn't. It requires an input before it does anything.
• 14:04
  Speaker 2: And it's all turn based, right, So you say a
• 14:08
  Speaker 2: thing and then it runs its calculation and then it
• 14:12
  Speaker 2: says a thing, right, right, But it will never just
• 14:16
  Speaker 2: decide to start a conversation.
• 14:18
  Speaker 1: That's when you pull the plug.
• 14:21
  Speaker 2: That's when you pull the plug, right when it says
• 14:23
  Speaker 2: when it starts to activate itself, Yeah, turns itself on
• 14:29
  Speaker 2: the current with the current thing that they're all based on.
• 14:31
  Speaker 2: Right now, it's just not it's just not how it works.
• 14:35
  Speaker 2: It's not how it functions. You can put square tires
• 14:37
  Speaker 2: on a car and it ain't gonna go nowhere.
• 14:41
  Speaker 1: You know what I mean, correctly? Yeah, I see that
• 14:44
  Speaker 1: how it is. I see it exasperating the you know
• 14:48
  Speaker 1: the situation, and you know, streamlining things and causing a
• 14:51
  Speaker 1: lot of layoffs. But it's not the death the death note.
• 14:54
  Speaker 1: What the death note for the IT community is right
• 14:56
  Speaker 1: now is the H one B one programs. Right and
• 15:01
  Speaker 1: if you're not familiar, if you're not familiar with what
• 15:02
  Speaker 1: an H one B one program is, the America is
• 15:05
  Speaker 1: the only country where you have to compete with the
• 15:08
  Speaker 1: world for a job. This is a true story, right
• 15:11
  Speaker 1: every profession right now in America, everyone, every single one,
• 15:15
  Speaker 1: from a guy who holds a shovel to a guy
• 15:17
  Speaker 1: who holds a scalpel. Right, you have to compete with
• 15:21
  Speaker 1: the entire planet in America right now, Right and again,
• 15:26
  Speaker 1: an H one B one in the IT community is
• 15:28
  Speaker 1: a freaking is a death sentence to any American born
• 15:34
  Speaker 1: text because what you have is this has came out today.
• 15:37
  Speaker 1: I didn't have a chance to incorporate it into this
• 15:41
  Speaker 1: my notes here, but if you guys hearing this, feel
• 15:44
  Speaker 1: free to go do your own research. Especially out of Texas,
• 15:47
  Speaker 1: you have mass, mass, massive amount of H one B
• 15:51
  Speaker 1: one frauds. And what it is is you have these
• 15:53
  Speaker 1: companies over there who are bringing in What H one
• 15:56
  Speaker 1: B one is is a worker visa for people overseas,
• 15:58
  Speaker 1: right that can come into a American they work. So
• 16:00
  Speaker 1: what they'll do is is they'll bring in If they're
• 16:03
  Speaker 1: paying Jay here one hundred and fifty thousand dollars to
• 16:05
  Speaker 1: write code, they'll fire j and they'll bring in two
• 16:09
  Speaker 1: H one B one visa guys at thirty five k
• 16:12
  Speaker 1: a piece, basically splitting his salary in half and getting
• 16:16
  Speaker 1: two guys and then basically letting them, you know, learn
• 16:19
  Speaker 1: on the AI. But where this has backfired is that
• 16:24
  Speaker 1: key up the Hapoo stereotype. Here they're all lying about
• 16:27
  Speaker 1: their credit, their their their certifications, right, They're all lying
• 16:30
  Speaker 1: about it. So what they do is they bring one
• 16:32
  Speaker 1: guy in and again I'm not this is not me.
• 16:34
  Speaker 1: I got no dog in this fight. Again, I think
• 16:37
  Speaker 1: it's kind of hilarious. They'll bring one guy in and
• 16:43
  Speaker 1: the one guy will actually have a degree from somewhere
• 16:45
  Speaker 1: over there. He'll be a guy, right, And then what
• 16:47
  Speaker 1: they'll do is they'll bring in eight other guys lie
• 16:50
  Speaker 1: about their degrees because it's from you know, New Delhi,
• 16:53
  Speaker 1: New Technical Institute, and you know downtown, you know bangorash
• 16:57
  Speaker 1: or whatever. Right, he comes over here and for the
• 17:00
  Speaker 1: first two months he's only speaking in their language because
• 17:02
  Speaker 1: he's training these guys how to do the things. Basically,
• 17:04
  Speaker 1: they became his helper.
• 17:05
  Speaker 2: Right.
• 17:06
  Speaker 1: That's a problem, right, And that's a problem in the
• 17:09
  Speaker 1: IT community right there. And again when you hear Elon
• 17:12
  Speaker 1: Musk saying he'll die on that hill, that's why Elon
• 17:16
  Speaker 1: Musk bro I'll tell you what. People like this guy,
• 17:18
  Speaker 1: but they forget sometimes. Man, I'm gonna say this a
• 17:20
  Speaker 1: little bit nice, right, they forget this a little bit.
• 17:25
  Speaker 1: He's on the spectrum people, all right, So he's not eccentric.
• 17:29
  Speaker 1: He's got a little touch of the taling on on him,
• 17:31
  Speaker 1: you know what I'm saying. He's got a little bit
• 17:33
  Speaker 1: that right. His mother may Musk. You don't get more
• 17:38
  Speaker 1: satanic than her. Go look it up this, I'm not
• 17:40
  Speaker 1: gonna I'm not gonna steer the show in this direction.
• 17:43
  Speaker 1: And his brother hasn't seen the sun in about eight years.
• 17:47
  Speaker 1: And he's even weirder than Elon Musk.
• 17:50
  Speaker 2: Rites and so on in that family.
• 17:53
  Speaker 1: For sure, there's some weird stuff coming out of that.
• 17:55
  Speaker 1: I don't know if that's what's growing up white in
• 17:56
  Speaker 1: South Africa.
• 17:58
  Speaker 2: But then you can look at the white group of people,
• 18:01
  Speaker 2: yes that he came from right where These are people
• 18:05
  Speaker 2: who came from Canada to South America South Africa for
• 18:09
  Speaker 2: a reason, for ideological reasons. So that he's he's he's
• 18:13
  Speaker 2: an odd bird.
• 18:14
  Speaker 1: He's an odd bird, but he loves him some h
• 18:16
  Speaker 1: one b ones. And the reason why is is because
• 18:19
  Speaker 1: Elon pretends that he is not driven by greed. He
• 18:24
  Speaker 1: is one hundred percent driven by greed. He just doesn't
• 18:28
  Speaker 1: let on as some of the other guys who like,
• 18:30
  Speaker 1: you know, care about this quarterly stuff. Yeah, he got
• 18:34
  Speaker 1: a lot better. He's got a lot better PR on it.
• 18:36
  Speaker 2: Right, He's got better PR department. That's all there is
• 18:39
  Speaker 2: to it.
• 18:40
  Speaker 1: So I, you know, I.
• 18:44
  Speaker 2: Think that this this we're laying people off because AI
• 18:48
  Speaker 2: has taken their jobs. I don't buy it.
• 18:54
  Speaker 1: Give me your theory on that, bro, It's.
• 19:00
  Speaker 2: It's part of the hype cycle. M I have built
• 19:04
  Speaker 2: I have built agents. I have built these things that
• 19:07
  Speaker 2: are supposed to you know, replace people, and they won't right.
• 19:12
  Speaker 2: There's some inherent there are some just hard and fast
• 19:15
  Speaker 2: limitations there, like they're just they're not going to perform
• 19:19
  Speaker 2: as well as people think they are. They do interesting things,
• 19:24
  Speaker 2: for sure, but if you like, if you deeply understand
• 19:29
  Speaker 2: how they work, anyone who deeply understands how they work,
• 19:32
  Speaker 2: knows that they're not capable of doing the things that
• 19:35
  Speaker 2: people want them to be able to do, clean and simple.
• 19:40
  Speaker 2: They're just not. I think that this is an opportunistic
• 19:44
  Speaker 2: I think I think that this is an opportunistic moment
• 19:47
  Speaker 2: is what this is. Never let a good car, never
• 19:51
  Speaker 2: let a good crisis, Coryeah.
• 19:52
  Speaker 1: When there's been on the street by real estate. That's
• 19:54
  Speaker 1: that's the fact right there exactly.
• 19:56
  Speaker 2: So I think I think using for one of the
• 20:02
  Speaker 2: reasons that you named right there with the h one
• 20:04
  Speaker 2: BP says and a recent change that happened to those
• 20:09
  Speaker 2: that is part of it. Another part of it is
• 20:14
  Speaker 2: I think it's a wage reset.
• 20:15
  Speaker 1: Oh for sure.
• 20:18
  Speaker 2: I think what these companies are doing is they're laying
• 20:20
  Speaker 2: off a bunch of people and they're going to take
• 20:23
  Speaker 2: that short term gamble right on stock price and say, hey,
• 20:28
  Speaker 2: like Oracle, right, we know that guy's greedy. Larry Ellison
• 20:33
  Speaker 2: is one of the most shadiest, prettiest dudes out there.
• 20:37
  Speaker 1: Zionist Satanic demon worship can just bought TikTok.
• 20:43
  Speaker 2: He's a greedy, shady guy.
• 20:45
  Speaker 1: They all got that in common, though, Bro, I feel you,
• 20:48
  Speaker 1: I understand, I'll disagree with you, but I think what
• 20:54
  Speaker 1: happens is is, you know, the h one BV so
• 20:57
  Speaker 1: that they've attached to one hundred.
• 20:59
  Speaker 2: Thousand dollars like requirement to it, right, So that immediately
• 21:05
  Speaker 2: makes it less attractive to a lot of companies. Right,
• 21:11
  Speaker 2: this other thing where they have to like there's this
• 21:15
  Speaker 2: you know, responsibility to the shareholders, which is really the
• 21:18
  Speaker 2: root of this disease. Right, they're going to fire all
• 21:22
  Speaker 2: these people, put everybody out on the street for a
• 21:25
  Speaker 2: couple of months, and then they're going to use the
• 21:28
  Speaker 2: excuse later AI didn't work out as well. We got
• 21:31
  Speaker 2: we fell into the hype cycle, right, and they're going
• 21:35
  Speaker 2: to hire people back, But they're not going to hire
• 21:37
  Speaker 2: the same people back because there's some man, you know,
• 21:39
  Speaker 2: there's any animosity there. If Oracle just laid you off,
• 21:45
  Speaker 2: you're not gonna go back and work for Oracle. You'll
• 21:48
  Speaker 2: go work for x whatever. You know what, other whatever,
• 21:52
  Speaker 2: other company is hiring a product manager for Python engineers, right,
• 21:59
  Speaker 2: and they're gonna pay you less, and you're gonna have
• 22:02
  Speaker 2: less seniority, and you're gonna have less stock whatever, and
• 22:05
  Speaker 2: you're gonna have less benefits and they're just gonna they're
• 22:09
  Speaker 2: gonna tip that needle the other way, right, because they
• 22:13
  Speaker 2: got you. They got especially in America, they have you. Right. Yeah,
• 22:17
  Speaker 2: you gotta pay for you gotta pay for help. Without
• 22:19
  Speaker 2: a health insurance, without savings, without a four toh one
• 22:22
  Speaker 2: K retirement plan, you're contributing to all of this stuff.
• 22:26
  Speaker 2: Financially stresses people. They're going to financially stress people for
• 22:29
  Speaker 2: a couple of months and then they're gonna be like, oops,
• 22:33
  Speaker 2: it doesn't work as well as we thought it would here,
• 22:36
  Speaker 2: we need to hire now.
• 22:38
  Speaker 1: Come back in. It's funny you brought that up too,
• 22:40
  Speaker 1: because here's two things I can tell you real quickly.
• 22:43
  Speaker 1: This triggered and memory what you're talking about. Number One,
• 22:45
  Speaker 1: A recent statistic hit my desk two days ago. Do
• 22:48
  Speaker 1: you know the top three illegal immigrant classes in the
• 22:53
  Speaker 1: United States of America as of April tenth?
• 22:57
  Speaker 2: Mmm?
• 22:58
  Speaker 1: Do you know them? If not, I'll break them down
• 23:00
  Speaker 1: for you real quick.
• 23:01
  Speaker 2: You mean like groups where they're from.
• 23:04
  Speaker 1: No, No, the group the groups that right now that
• 23:06
  Speaker 1: so right now America will make you believe that every
• 23:09
  Speaker 1: illegal immigrant in this country's Latino, not even close.
• 23:12
  Speaker 2: No.
• 23:13
  Speaker 1: No, here's number one, two, and three right which I'm
• 23:16
  Speaker 1: a little funny thing in here I have to point
• 23:18
  Speaker 1: out as well. Number one is Somalians. There that is
• 23:22
  Speaker 1: the number one, single largest group of illegal aliens in
• 23:26
  Speaker 1: the United States of America right now are out of Somalian.
• 23:29
  Speaker 1: Number two are Indians who overstay their H one b
• 23:34
  Speaker 1: ones and refuse to go back right Number three And
• 23:37
  Speaker 1: I thought this was funny. I had to, had to
• 23:39
  Speaker 1: because I never missed an opportunity to kind of be
• 23:41
  Speaker 1: a smart mouth Africans. And I said to myself, like
• 23:46
  Speaker 1: I thought, last time I checked Somalia was in Africa.
• 23:52
  Speaker 1: So you're telling me that Somalians are so over representative
• 23:56
  Speaker 1: in the illegal immigrant crisis that they get their own category.
• 24:00
  Speaker 1: And that's what they did.
• 24:00
  Speaker 2: Man.
• 24:01
  Speaker 1: So yeah, but that add that little fun fact to
• 24:05
  Speaker 1: you right there. But to back up what you're talking
• 24:08
  Speaker 1: about before we shift into the spying aspect of this,
• 24:12
  Speaker 1: the people told me hey, Joe, you should use you
• 24:16
  Speaker 1: should use AI to you know, like script one of
• 24:20
  Speaker 1: your episodes, right, And I'm like, sure, I'll take a
• 24:23
  Speaker 1: look at it. This was months ago exactly right. That's
• 24:27
  Speaker 1: that's that's the thing, right, thank you. It's it's platy
• 24:31
  Speaker 1: even think that we plan these things out, right. So
• 24:35
  Speaker 1: I went I went in there. Yeah, I went in there,
• 24:38
  Speaker 1: and I was like I was talking to it. I
• 24:40
  Speaker 1: was like, hey, look, you know, here's my show, here's
• 24:42
  Speaker 1: my thing, this, that and the other. Give me some
• 24:45
  Speaker 1: fringe stories that I've never heard before, and I want
• 24:48
  Speaker 1: to make an episode. And it came up with this
• 24:50
  Speaker 1: bombastic dog man story out of I want to say,
• 24:53
  Speaker 1: like Nebraska, right, And as we were going along in
• 24:56
  Speaker 1: the script, I was like, hold up, this can't this
• 24:58
  Speaker 1: can't this can't possibly I believe this can't possibly be.
• 25:03
  Speaker 1: I would have heard about this, right, I would have
• 25:04
  Speaker 1: heard about this, right. And I just I just asked it, like, yo,
• 25:08
  Speaker 1: are you lying to me? And it was like yes,
• 25:12
  Speaker 1: that's what it said to me, right. Yeah. I called
• 25:14
  Speaker 1: Chad gpt Line and I was like, Yo, what are
• 25:16
  Speaker 1: you talking about. He's like, well, you know I thought
• 25:19
  Speaker 1: that I didn't know that the had to be a
• 25:22
  Speaker 1: factual story. So it was creating a story and I
• 25:26
  Speaker 1: was and I was like, you mother wasted like forty
• 25:28
  Speaker 1: five minutes. That's when I cuss it out. Man, one
• 25:29
  Speaker 1: time I cuss it out.
• 25:31
  Speaker 2: That's what we call hallucination. Yeah, that's one of the
• 25:36
  Speaker 2: That's okay, So can I say that's like the perfect
• 25:40
  Speaker 2: example of what the root problem is, right with why
• 25:46
  Speaker 2: these agents aren't going to aren't going to do what
• 25:50
  Speaker 2: they think they're going to do. Right. It has no
• 25:55
  Speaker 2: awareness of what the truth, yeah, or what lie is.
• 25:59
  Speaker 2: There's no awareness there. It doesn't know it's lying to you. Right.
• 26:04
  Speaker 2: It's hit the edge of its training data and just
• 26:08
  Speaker 2: started making stuff up. Yeah, because of the probability calculation.
• 26:13
  Speaker 2: It's just started stringing words together.
• 26:16
  Speaker 1: Yeah.
• 26:16
  Speaker 2: And you know what doesn't have any It doesn't have
• 26:19
  Speaker 2: any awareness of facts.
• 26:22
  Speaker 1: Man, you just triggered a memory too, man, Like I
• 26:24
  Speaker 1: just now realized this happened months ago, and I just
• 26:28
  Speaker 1: now realized I should have copied and pasted the whole
• 26:30
  Speaker 1: story and throw it through it up on creepy pasta
• 26:32
  Speaker 1: because it was one heck of a story, man, It
• 26:34
  Speaker 1: was one heck of a story, right, but I was like, nah, man,
• 26:37
  Speaker 1: but it was trash. So anyways, but here's where AI,
• 26:39
  Speaker 1: in my opinion, I know people worried about the job
• 26:42
  Speaker 1: market stuff like that, but here's where I think it
• 26:44
  Speaker 1: also gets a little bit more problematic. Jay. The fives
• 26:48
  Speaker 1: are seven oh two directives. Again and again people who
• 26:52
  Speaker 1: don't are not familiar with fis a seven oh two.
• 26:54
  Speaker 1: It's the Foreign Intelligence Surveillance Act. It's controversial since it's
• 26:58
  Speaker 1: been around since nine eleven, and basically what it does,
• 27:01
  Speaker 1: it's not basically, this is exactly what it does. It
• 27:04
  Speaker 1: gives the authority for the US government, you know, every
• 27:08
  Speaker 1: single intelligence agency NSA, FBI, CIA, to collect communications on
• 27:12
  Speaker 1: what they call non US persons located outside the country
• 27:17
  Speaker 1: without individual warrants. That's a lie, right, That's what it
• 27:20
  Speaker 1: says in there. But with a little, quick, little signature,
• 27:24
  Speaker 1: they can use it in the United States of America
• 27:26
  Speaker 1: on as many citizens as they want. And this was
• 27:29
  Speaker 1: put into play right after the day after nine to
• 27:32
  Speaker 1: eleven went down another rabbit hole that we could go down, right, Jay,
• 27:37
  Speaker 1: When you combine the PIZA seven oh two with AI,
• 27:43
  Speaker 1: I remember when I first got out of the Navy,
• 27:46
  Speaker 1: I was recruited up to Fort Meade up there, and
• 27:50
  Speaker 1: NSA is located on Fort Meade. And I was up there,
• 27:52
  Speaker 1: and I was at one of the local places, and
• 27:55
  Speaker 1: I bumped into a dude that we knew. I'll keep
• 27:57
  Speaker 1: his name off air, right ran happenstance he was, I'll
• 28:02
  Speaker 1: let you know. He was an a brancher that almost
• 28:06
  Speaker 1: knocked his teeth out and had to go to think
• 28:08
  Speaker 1: for it. So all the people, all the people that
• 28:10
  Speaker 1: all the people that I bumped into, I bumped into
• 28:12
  Speaker 1: him in the parking lot.
• 28:13
  Speaker 2: Oh my goodness, that's funny. That's funny. Yeah, so all
• 28:16
  Speaker 2: the people that you could run into.
• 28:18
  Speaker 1: Yeah, I bumped into him, right, and so again, by gones,
• 28:21
  Speaker 1: be bygones. He said he saw me. He broke his
• 28:24
  Speaker 1: neck to get over there and say hello to me. Right,
• 28:25
  Speaker 1: So I had a conversation with him. We end up
• 28:27
  Speaker 1: going to lunch. Believe it or not, man, there was
• 28:30
  Speaker 1: went to the golf course.
• 28:31
  Speaker 2: You never thought that would have happened, never.
• 28:32
  Speaker 1: In a million years. I guess people grow up, man,
• 28:36
  Speaker 1: I guess we grew up.
• 28:37
  Speaker 2: Right.
• 28:38
  Speaker 1: So we go to lunch at the golf course and
• 28:39
  Speaker 1: he told me what he was doing where he was
• 28:41
  Speaker 1: at over the NSA and he said, hey, look, man,
• 28:43
  Speaker 1: can you believe it? They're recording every single phone conversation everywhere.
• 28:49
  Speaker 1: And I'm like, I was like, okay, but again he
• 28:51
  Speaker 1: was an operator, he was an admin goal right, So
• 28:55
  Speaker 1: I just wrote it off, right, you know, I was like, hey, man,
• 28:58
  Speaker 1: good to see you there. Spoke that guy. Ever again
• 29:00
  Speaker 1: you had lunch or whatever? We were good and bro.
• 29:04
  Speaker 1: We turned out to be right. The NSA way back
• 29:07
  Speaker 1: in the day was literally recording the metadata for every
• 29:09
  Speaker 1: single phone conversation that was ever taking place, running through
• 29:12
  Speaker 1: any directories period. And so when you take AI and
• 29:19
  Speaker 1: you combine it with the fives seven oh two, you know,
• 29:22
  Speaker 1: basically they can do all this legally other than getting
• 29:27
  Speaker 1: you know, provocative pictures that we sent to you know,
• 29:30
  Speaker 1: each other, sometimes not me and you, but you know,
• 29:32
  Speaker 1: to other people, right, to other people other people?
• 29:35
  Speaker 2: Right?
• 29:37
  Speaker 1: Is this is this? Is this a threat? Is this
• 29:40
  Speaker 1: a danger?
• 29:42
  Speaker 2: Dude? That that is like screaming about a robbed henhouse? Right,
• 29:51
  Speaker 2: that that phase has been long over, Right, That the
• 29:58
  Speaker 2: fight over pieces seven two is is political theater at
• 30:03
  Speaker 2: best of you know, amongst people who don't understand the
• 30:07
  Speaker 2: world they live in Now, it's useless. It's it's pointless.
• 30:12
  Speaker 2: It's a big kind of.
• 30:13
  Speaker 1: Nothing, will never be one. As a matter of fact,
• 30:16
  Speaker 1: I challenge anybody in.
• 30:17
  Speaker 2: The commons not only not one, but it's pointless. Like
• 30:21
  Speaker 2: all right, and I'll tell you why it's pointless. How
• 30:23
  Speaker 2: many how many UH end user license agreements have you
• 30:30
  Speaker 2: checked and hit accept and then just moved on? How
• 30:34
  Speaker 2: many of them have you actually ever read?
• 30:37
  Speaker 1: Zero?
• 30:38
  Speaker 2: Zero?
• 30:39
  Speaker 1: Zero?
• 30:40
  Speaker 2: How many have you agreed to? Hundred? Right, So here's
• 30:48
  Speaker 2: the thing, and this is why visus seven O two
• 30:53
  Speaker 2: is pointless. This fight.
• 30:58
  Speaker 1: One word talenting, Oh for sure.
• 31:01
  Speaker 2: Yeah, they already have They already have it. It's not
• 31:04
  Speaker 2: about the government collecting it. Look, the government doesn't need
• 31:08
  Speaker 2: to collect it any Why would they Why would they collect?
• 31:12
  Speaker 2: At this point, they can just go to Google subpoena
• 31:16
  Speaker 2: the data and take it.
• 31:20
  Speaker 1: Yeah. I wouldn't even say it's the subpoena. Google probably
• 31:22
  Speaker 1: would just sell it to you. I mean.
• 31:24
  Speaker 2: So that's the other that's the other part of it. Right,
• 31:27
  Speaker 2: what do you think palenteers doing. Yeah, they're going out
• 31:31
  Speaker 2: and they're hitting every data broker that they can find
• 31:35
  Speaker 2: and sucking in the data and the data brokers are
• 31:38
  Speaker 2: either getting it, you know, through contractual negotiations with Google
• 31:45
  Speaker 2: and everyone else. Right, they're either getting it there or
• 31:49
  Speaker 2: they're they're collecting it from the dark web. When somebody
• 31:53
  Speaker 2: hacks one hundred and thirty three million medical records from
• 31:58
  Speaker 2: Blue Cross, Blue Shield when they have their firewall turned
• 32:01
  Speaker 2: off to the weekend, right, and they just were you
• 32:06
  Speaker 2: know what I mean, Like, how many of these companies
• 32:08
  Speaker 2: have been hacked? Yeah, the credit the credit bureaus, the banks,
• 32:13
  Speaker 2: the medical facilities, the government itself, all of this stuff
• 32:17
  Speaker 2: is already even it's it's over. It's done with. There's
• 32:21
  Speaker 2: there's no preservation of data or data sovereignty anymore. It's
• 32:25
  Speaker 2: it's done.
• 32:26
  Speaker 1: Yeah. That's also too. I laugh because I tell people
• 32:29
  Speaker 1: men like, if you want to know my nightmares, go ahead,
• 32:31
  Speaker 1: jump in mind. You can jump in there, right. I
• 32:33
  Speaker 1: don't like the thing. The thing that gets me too,
• 32:36
  Speaker 1: is that I don't know why they want to continue
• 32:38
  Speaker 1: arguing at this point. You can't. I'll challenge you on this. Anybody,
• 32:42
  Speaker 1: like I said, jump into comments, let us know. But
• 32:44
  Speaker 1: I challenge you on this. You can't name one instance
• 32:48
  Speaker 1: ever in the globe where a government gave back a
• 32:52
  Speaker 1: power that instituted during a crisis period in any any
• 32:56
  Speaker 1: country or whatever, right willingly gave it back right without
• 32:59
  Speaker 1: a whole total rollover or something like that. And this
• 33:03
  Speaker 1: doesn't happen.
• 33:04
  Speaker 2: It takes a monumental effort or a monumental action to
• 33:07
  Speaker 2: make that happen. And it's just not going to hear.
• 33:10
  Speaker 1: Again because yeah, not like again, your votes don't matter.
• 33:16
  Speaker 1: I've told you this before. We we I've been beating
• 33:18
  Speaker 1: this drum for a long time. Man, there is no
• 33:21
  Speaker 1: left or right, there is no there is no there's
• 33:26
  Speaker 1: something above our political system that's calling the shots, and
• 33:29
  Speaker 1: they don't care who really wins. It's a fight amongst
• 33:32
  Speaker 1: yourself to give you the perception of power. For example,
• 33:35
  Speaker 1: we still send forty million dollars a week to the
• 33:38
  Speaker 1: Taliban for their widows. Make that makes sense, forty million
• 33:42
  Speaker 1: a week, Like damn, how many widows are over there?
• 33:45
  Speaker 2: Right?
• 33:45
  Speaker 1: So yeah, it's a lie that money's going through Afghanistan,
• 33:49
  Speaker 1: probably to CIA to pay for the poppy fields to
• 33:52
  Speaker 1: make the heroin that they move to some It's it's
• 33:55
  Speaker 1: so deep into what the.
• 33:56
  Speaker 2: Heroin fields there, because the heroin fields Russia, the heroin
• 34:00
  Speaker 2: fields feed Russia and China. Yeah, so it's like China
• 34:05
  Speaker 2: doesn't want to stop the fentanyl trade because the federal
• 34:08
  Speaker 2: comes over here.
• 34:09
  Speaker 1: Yeah exactly, and it comes back over here.
• 34:10
  Speaker 2: This heals us essentially chemical warfare.
• 34:13
  Speaker 1: It is, right, So we're paying for our own demise
• 34:15
  Speaker 1: because there's satanic forces and I call them satanic man.
• 34:18
  Speaker 1: You have you have people looks like you're right.
• 34:22
  Speaker 2: And if you read any of those files.
• 34:24
  Speaker 1: Yeah exactly, and you and you and you go and
• 34:25
  Speaker 1: you read me and this guy right here have had
• 34:27
  Speaker 1: some weird conversations. In fact, you're not even the you're
• 34:30
  Speaker 1: not even meeting the two weirdest guys. We have other
• 34:33
  Speaker 1: people that that that have been around us. We've had
• 34:36
  Speaker 1: weird conversations and never one time did cannibalism come up?
• 34:41
  Speaker 1: Or hey, how can we chemically destroy another country?
• 34:44
  Speaker 2: Right?
• 34:45
  Speaker 1: That's well not not what I was around. I would
• 34:48
  Speaker 1: remember that, right, So you guys over there, maybe we
• 34:51
  Speaker 1: were in Fiji. Oh that was a different thing. That
• 34:54
  Speaker 1: was the history of cannibalism I'm talking about, hey talking
• 34:56
  Speaker 1: about Yeah, we had we had to talk about can
• 35:00
  Speaker 1: like I can't believe her on this island that a
• 35:02
  Speaker 1: generation ago was eating people. But it was never.
• 35:05
  Speaker 2: My grandfather used or my it was his father.
• 35:08
  Speaker 1: Or his grandfather's grandfather. Yeah yeah, And we were like, well, yeah, yeah,
• 35:13
  Speaker 1: I remember that we were drinking ashquana or something. I
• 35:16
  Speaker 1: don't I forget what we were drinking. Man made my
• 35:18
  Speaker 1: made my lips numb.
• 35:20
  Speaker 2: But it was awesome. I loved it.
• 35:22
  Speaker 1: But we never sit around saying, hey, look let's kill
• 35:24
  Speaker 1: Jeff over here and eat him. Oh cool, let's let's
• 35:26
  Speaker 1: try it. Right, That's never that's never came up, right,
• 35:30
  Speaker 1: But when you see these people that sit around actively
• 35:33
  Speaker 1: and again, I know, I know people talk about how
• 35:38
  Speaker 1: they're demon possessed. I know people talk about how they're
• 35:40
  Speaker 1: raised and their parents were weird like that, and they
• 35:43
  Speaker 1: did you know, and they just they're involved in you know,
• 35:47
  Speaker 1: in those files, man, they hunt. There's they have human
• 35:50
  Speaker 1: hunts in there in those files, right that they've hinted
• 35:52
  Speaker 1: out right like like this, like the stuff we would
• 35:55
  Speaker 1: see like Hunger Games level stuff was going on in
• 35:59
  Speaker 1: those files, right, yeah. And these are the people that
• 36:03
  Speaker 1: are writing policy for us. And again I saw this guy, Man,
• 36:09
  Speaker 1: I wish I could have paid more attention to it.
• 36:12
  Speaker 1: This too much data comes across the desk man. He
• 36:16
  Speaker 1: had a very great point and I shared it with
• 36:19
  Speaker 1: somebody yesterday, literally yesterday, that I never thought about it.
• 36:23
  Speaker 1: And he says that the people that are in charge,
• 36:26
  Speaker 1: the people that are in charge, and they're the ones
• 36:28
  Speaker 1: that are in it's again, it's only about a thousand
• 36:31
  Speaker 1: of them, twenty five hundred tops, So it's a very
• 36:34
  Speaker 1: small population of really messed up people. Right, There's something
• 36:39
  Speaker 1: wrong with them to the point that they're so broken
• 36:42
  Speaker 1: and rotten and disgusting that they actually have what he
• 36:46
  Speaker 1: called a Grinch mindset, where anything that would be deemed
• 36:49
  Speaker 1: beautiful they have to destroy it simply because it has
• 36:55
  Speaker 1: the appearance or people think that it's beautiful. And that
• 36:58
  Speaker 1: explains the irrational motives or the irrational behavior behind something.
• 37:04
  Speaker 1: For example, a cathedral made in the eighteen hundreds, right
• 37:10
  Speaker 1: in the Gothic form, right with master craftsmanship and you
• 37:16
  Speaker 1: know archways and carvings or whatever and things of that nature.
• 37:21
  Speaker 1: You would have to at a baseline admit that man,
• 37:26
  Speaker 1: that took a serious effort and some artists to really
• 37:30
  Speaker 1: do that. Would you agree with that?
• 37:31
  Speaker 2: Right? Yeah, I mean it's pretty universal, right, Like, yeah,
• 37:34
  Speaker 2: you can say that's pretty amazing. Because someone or a
• 37:38
  Speaker 2: group of people put in I means amount of time
• 37:42
  Speaker 2: and effort into.
• 37:42
  Speaker 1: That crazy right stood through times. And you know, whether
• 37:46
  Speaker 1: you're not a fan of the type of architecture, Mediterranean,
• 37:49
  Speaker 1: whatever they want to call it, right, if you're not
• 37:50
  Speaker 1: a fan of it, you'd have to say, like, wow, man,
• 37:53
  Speaker 1: that's pretty impressive. These people look at it like that's great.
• 37:58
  Speaker 1: I hate it. So what we're gonna do is we're
• 38:00
  Speaker 1: going to turn these schools into prison make them all
• 38:02
  Speaker 1: look like prisons, right, squared, blocked, ugly palots. Look at Cleveland,
• 38:08
  Speaker 1: Ohis matter of fact, do this right, I'm serious about this.
• 38:12
  Speaker 1: Look at Cleveland, Ohio. Look at Baltimore, Maryland. Look at Washington, DC,
• 38:21
  Speaker 1: the outskirts. Look at Chicago, Look at Saint Louis, Missouri.
• 38:28
  Speaker 1: Look at Richmond, Virginia. Fifty years ago, sixty years ago,
• 38:34
  Speaker 1: even seventy years ago, right right around World War you know,
• 38:37
  Speaker 1: the thirties of the forties, those were considered peak cities,
• 38:43
  Speaker 1: pristine cities. They have been ugly up so bad now
• 38:48
  Speaker 1: with terrible construction, dilapidation and everything. And it's been done
• 38:53
  Speaker 1: by design. Right, Because if you've never been to any
• 38:56
  Speaker 1: one of those cities before you'll get to press the
• 39:00
  Speaker 1: moment you drive into it. I'm not making this up,
• 39:02
  Speaker 1: like I know, everything has an energy and aura. I'm
• 39:05
  Speaker 1: not a big you who guy right there, but Jay,
• 39:07
  Speaker 1: you would back me up on that. Right, there's a
• 39:09
  Speaker 1: heaviness about the place.
• 39:11
  Speaker 2: Right, Yeah, But I mean I know why well.
• 39:15
  Speaker 1: I mean it doesn't matter the reasons why on it.
• 39:17
  Speaker 1: But but you know that's by design because they see
• 39:20
  Speaker 1: something that's grand, right, and then they destroy it. I
• 39:23
  Speaker 1: I the first time I went to New York City.
• 39:26
  Speaker 1: I went to Queens, right, and I thought to myself, Man,
• 39:29
  Speaker 1: this place is so amazing, but it looks like a
• 39:33
  Speaker 1: dumpster because every single thing in Queens has spray paint
• 39:38
  Speaker 1: on it, right, this spray painted just painted right. And
• 39:42
  Speaker 1: then again I went from Queens, I went into Manhattan
• 39:45
  Speaker 1: and I'm like, okay, Manhattan reminded me of like something
• 39:48
  Speaker 1: like Gotham City, right, like this would be a place
• 39:49
  Speaker 1: where Batman was hanging out.
• 39:51
  Speaker 2: Right.
• 39:52
  Speaker 1: Then I went to Uh. I went from there, I
• 39:56
  Speaker 1: went to where's the Amityville House?
• 39:57
  Speaker 2: At? What?
• 39:58
  Speaker 1: What island?
• 39:59
  Speaker 2: Is that?
• 39:59
  Speaker 1: Staton Island?
• 40:00
  Speaker 2: Right?
• 40:00
  Speaker 1: Is that what it is? I went north?
• 40:02
  Speaker 2: Right?
• 40:02
  Speaker 1: Yes, I went north.
• 40:04
  Speaker 2: Right.
• 40:05
  Speaker 1: I went up there, I think it was I think
• 40:08
  Speaker 1: it's Staten Island, and it was depressing in a whole
• 40:12
  Speaker 1: totally different waiver. It gave me the little house on
• 40:14
  Speaker 1: the prairie dreary vibes, right, Like I could see why
• 40:17
  Speaker 1: this they have the demon house up here. It was
• 40:20
  Speaker 1: just dreary, right, it was just right, it was there
• 40:23
  Speaker 1: was no there was no life in it. Right in
• 40:25
  Speaker 1: Staten Island. I thought Queen's had a vibe, but it
• 40:28
  Speaker 1: was like a dirty cyberpunk vibe when I went to
• 40:31
  Speaker 1: But when I went to Manhattan, I'm like, Okay, Manhattan
• 40:33
  Speaker 1: has it has a pretty nice vibe, and it's very
• 40:35
  Speaker 1: expensive living.
• 40:37
  Speaker 2: Yep.
• 40:38
  Speaker 1: But Jay, these are the people that are sitting around.
• 40:40
  Speaker 1: They're not giving up these spies of warrants, They're not
• 40:42
  Speaker 1: giving up any type of control. They're not going to
• 40:43
  Speaker 1: give up anything. Right again, these are the same people that,
• 40:46
  Speaker 1: for example, I was talking to somebody other day the
• 40:50
  Speaker 1: cold saw the common cold sore that some people get
• 40:53
  Speaker 1: on their their mouths. Right, the medication for that is,
• 40:58
  Speaker 1: like I'm not making this, it's like fifteen cents, Like
• 41:02
  Speaker 1: fifteen cents for that medication, right, for like a common
• 41:04
  Speaker 1: cold sore that you get on your mouth HSPV one
• 41:07
  Speaker 1: or something like that is what it's called. When I
• 41:09
  Speaker 1: was doing when when I was writing my thesis on
• 41:12
  Speaker 1: destroying pharmaceutical companies in their greed. And I've always said this,
• 41:17
  Speaker 1: right that I believe that pharmaceutical companies start by curing
• 41:21
  Speaker 1: the disease and then roll the medication down to the
• 41:25
  Speaker 1: point where if you take it, you have no symptoms,
• 41:28
  Speaker 1: but the moment you stop taking it, it comes back. Right,
• 41:32
  Speaker 1: and the common cold sore affects eighty percent of the
• 41:36
  Speaker 1: population of the planet. I didn't know of that, right,
• 41:39
  Speaker 1: And again, it doesn't have flare ups. Most people go
• 41:43
  Speaker 1: their whole lives without, you know, having a flare up.
• 41:46
  Speaker 1: Some people have them, you know, pretty bad. But they
• 41:49
  Speaker 1: could totally give that cure away right at this point, right,
• 41:52
  Speaker 1: it's fifteen cents, It's fifteen pennies, bro, No, they want
• 41:58
  Speaker 1: that fifteen pennies. They want you to be. The reason
• 42:00
  Speaker 1: why is because that drug you take is just throwing
• 42:02
  Speaker 1: your liver or your kidney, and in ten years it's
• 42:05
  Speaker 1: gonna walk you into this drug that you're gonna have
• 42:07
  Speaker 1: to take from the same pharmaceutical companies These are the
• 42:10
  Speaker 1: same people, bro. They roll in the same circles, they
• 42:13
  Speaker 1: roll in the same cloud of you know, you know
• 42:16
  Speaker 1: orbit for lack of a better word. Correct, they're not
• 42:19
  Speaker 1: gonna give it. They're not gonna give you a dying
• 42:20
  Speaker 1: I'm not gonna give you a penny, and they're definitely
• 42:22
  Speaker 1: not going to give back any power on this. So
• 42:23
  Speaker 1: I'm with Jay on this day. Dump the argument for
• 42:27
  Speaker 1: that five seven oh two. You'll never win that, right
• 42:30
  Speaker 1: unless you know we play.
• 42:32
  Speaker 2: But it's pointless.
• 42:33
  Speaker 1: It's again, it's pointless. Right, they have everything right and
• 42:36
  Speaker 1: again again my smart mouth gets me in trouble before
• 42:41
  Speaker 1: the record. I think I'm hilarious. Put that right now.
• 42:46
  Speaker 1: When people call me up saying X, Y and Z
• 42:48
  Speaker 1: happen to me and I tell them I wouldn't worry
• 42:49
  Speaker 1: about it. You're not that interesting, they get offended, right,
• 42:52
  Speaker 1: Like what you're not that you're not that is.
• 42:55
  Speaker 2: There's a certain amount of ego there, right, people think.
• 42:58
  Speaker 1: They're important, but you're not that important.
• 43:00
  Speaker 2: But there's so much data. But and that's the other
• 43:03
  Speaker 2: that's like the other, the way other end of the
• 43:05
  Speaker 2: spectrum of most people. They could collect all the data
• 43:11
  Speaker 2: on you they want nobody's ever going to see it
• 43:16
  Speaker 2: because you're it's not going like there's not a bunch
• 43:20
  Speaker 2: of dudes in a data center in Salt Lake City,
• 43:22
  Speaker 2: like a warehouse full of dudes looking at all of
• 43:26
  Speaker 2: your porn habits. It just doesn't happen like that. All
• 43:30
  Speaker 2: that data is just getting pumped into a hard drive somewhere,
• 43:34
  Speaker 2: kept for a while, and then if it never amounts
• 43:37
  Speaker 2: to anything, it's just poofed.
• 43:39
  Speaker 1: Yeah, no one wants, No one wants to see your.
• 43:41
  Speaker 2: Cat is going to look. No one's going to look.
• 43:45
  Speaker 2: No one cares.
• 43:46
  Speaker 1: So when you got guys like Tucker Carlson and they
• 43:48
  Speaker 1: get into his phone, they're getting in his sponge because
• 43:49
  Speaker 1: he's talking to people in Russia and stuff like that,
• 43:52
  Speaker 1: that's the guy.
• 43:53
  Speaker 2: Right, that's the guy they're going after. They're going after,
• 43:56
  Speaker 2: you know, people who are prominent or have some sort
• 43:58
  Speaker 2: of voice, or have done something or that the threat
• 44:03
  Speaker 2: made themselves known.
• 44:04
  Speaker 1: Right, you text in your art.
• 44:06
  Speaker 2: Of behavior that that matches some kind of heuristic they
• 44:10
  Speaker 2: have where they're like, oh, this guy right here is
• 44:14
  Speaker 2: demonstrating tendencies toward blowing up the building or whatever.
• 44:19
  Speaker 1: He might actually he might actually be a threat to
• 44:21
  Speaker 1: our satanic agenda, right, get up to that.
• 44:23
  Speaker 2: Right. But if it's if it's you know, uh, Jake
• 44:28
  Speaker 2: Jones down the street and he's just hitting pornhob every
• 44:33
  Speaker 2: now and again, nobody cares.
• 44:35
  Speaker 1: Hey, look man, if you're in the cat if you're
• 44:36
  Speaker 1: if you're in the cat anime, man, so be it. Man,
• 44:38
  Speaker 1: that's that's that's your thing. Man, go cruay right, so Jay,
• 44:44
  Speaker 1: But here's so that's not going to go anywhere but rolling,
• 44:48
  Speaker 1: and again it doesn't matter. But rolling into our final
• 44:50
  Speaker 1: topic here, Jay, that people seem to be extremely upset
• 44:53
  Speaker 1: about is actually getting a little bit of steam. Is
• 44:56
  Speaker 1: that the I R S actually had the audacity, the nerve,
• 45:02
  Speaker 1: the tendencies to tomfoolery to actually come out today and say,
• 45:06
  Speaker 1: day after tax Day the sixteenth, that they have a
• 45:11
  Speaker 1: mix of a positive and not so positive feelings at
• 45:15
  Speaker 1: the I R S based on the participation of people's
• 45:20
  Speaker 1: tax returns. Let that sink in, everybody, almost stay at
• 45:22
  Speaker 1: my microphone right here when I say this, The I
• 45:24
  Speaker 1: R S is actually sad today that not enough people
• 45:29
  Speaker 1: participated in the income tax Well what do you mean
• 45:35
  Speaker 1: by participating? Like did we have a choice? Like is
• 45:39
  Speaker 1: that a thing that like like what what what? What's not?
• 45:42
  Speaker 1: What's going on here?
• 45:43
  Speaker 2: Jay?
• 45:44
  Speaker 1: And here's the reason why they're mad, Well, they're there's
• 45:47
  Speaker 1: they're melancholy. It's a dreary day for the I R
• 45:51
  Speaker 1: S people. The reported average tax off Yeah, the reported
• 45:56
  Speaker 1: average tax refunds were up eleven percent over last year,
• 46:00
  Speaker 1: around threey five hundred for many, or three hundred and
• 46:03
  Speaker 1: forty six dollars higher on average, three hundred and forty
• 46:07
  Speaker 1: six dollars. That's got an upset, which administration is highlighting
• 46:11
  Speaker 1: as a relief from recent tax policies. However, they're alarmed
• 46:18
  Speaker 1: at the number of addendums that were filed, people saying
• 46:21
  Speaker 1: that they're not filing their taxes right now and requested
• 46:24
  Speaker 1: an extension into September or later dates. Basically is that
• 46:30
  Speaker 1: they are kicking the can down the road. And here's
• 46:35
  Speaker 1: the debate that it's cost online that people are getting.
• 46:39
  Speaker 1: You can't get a solid answer from the IRS. Jay,
• 46:44
  Speaker 1: is it legal for them to force us to pay taxes?
• 46:49
  Speaker 1: That's a question I've never really asked, right, I've never
• 46:52
  Speaker 1: asked that question before.
• 46:54
  Speaker 2: Huh I have.
• 46:56
  Speaker 1: Okay, well, then here we go.
• 46:57
  Speaker 2: Jake's there's a couple schools of thought, right, and what
• 47:05
  Speaker 2: sucks is I don't have the details of it, but
• 47:08
  Speaker 2: on one side, there is a camp of people who
• 47:14
  Speaker 2: believe that it is it is a voluntary act, right,
• 47:19
  Speaker 2: that the government can't compel you to pay the income tax.
• 47:22
  Speaker 1: Correct.
• 47:24
  Speaker 2: The other side of the camp being that, yeah, it's
• 47:26
  Speaker 2: the law. You need to do it or they're going
• 47:28
  Speaker 2: to come after you. Right.
• 47:29
  Speaker 1: Oh yeah, real quick, real quick, hold that thought, Jack.
• 47:32
  Speaker 1: We were just talking about how government never gives up power.
• 47:36
  Speaker 1: By the readings, I haven't verified this that the income
• 47:39
  Speaker 1: tax was instituted as a temporary thing right before World
• 47:43
  Speaker 1: War two and was never meant to be prolonged. That's
• 47:45
  Speaker 1: what some people argue. I don't know anybody that was
• 47:48
  Speaker 1: alive before World War two, But so if anybody's listened
• 47:51
  Speaker 1: to our show, was income tax a thing prior to
• 47:55
  Speaker 1: World War two? And that's where people were talking about, Well,
• 47:57
  Speaker 1: you said it was supposed to be a voluntary thing, Jay,
• 48:00
  Speaker 1: and then it led to a never give back the power,
• 48:04
  Speaker 1: keep collecting money. This is kind of awesome type of thing, right.
• 48:07
  Speaker 2: So yeah, there's a huge argument there, and there's been
• 48:12
  Speaker 2: there's been an argument there for really like really really
• 48:15
  Speaker 2: long time. I'm not going to disclose names, but I
• 48:21
  Speaker 2: know I know more than more than two people who
• 48:24
  Speaker 2: just don't pay taxes, Like they don't file, they don't,
• 48:30
  Speaker 2: they don't have it taken another paycheck, they don't send
• 48:34
  Speaker 2: money to the I R S. They just don't. They
• 48:37
  Speaker 2: just they just don't get it. To one person, yeah,
• 48:45
  Speaker 2: and that's basically kind of with one person specifically that
• 48:49
  Speaker 2: I had talked too long time ago, it was like, yeah,
• 48:54
  Speaker 2: if they want, they can come get it. But I
• 48:58
  Speaker 2: have never I haven't fire paid taxes in twenty years.
• 49:03
  Speaker 1: Well, a lot of people are standing on business right now,
• 49:06
  Speaker 1: and the reason could be is that another reason this
• 49:08
  Speaker 1: is too is funny because they left us out of
• 49:11
  Speaker 1: the irs. It's because of the Island Boy emails. It's
• 49:15
  Speaker 1: because of people have realized and oh you can. This
• 49:18
  Speaker 1: cannot be argued. This cannot be argued. This is a fact.
• 49:22
  Speaker 1: This is not an opinion, right, this is a fact.
• 49:26
  Speaker 1: We send billions of dollars. I want to say, also,
• 49:31
  Speaker 1: hundreds of billions, I think, if my memory has served
• 49:35
  Speaker 1: me correct, The United States of America averages three hundred
• 49:38
  Speaker 1: and sixty five to four hundred and twenty five billion
• 49:42
  Speaker 1: dollars of money that we send to other countries. Let
• 49:46
  Speaker 1: that sink in, right, three sixty five to four to
• 49:50
  Speaker 1: twenty five B. That's a billion dollars that we send
• 49:55
  Speaker 1: to other countries, ranging from anything from gender studies in Uganda,
• 50:01
  Speaker 1: which is what I saw all the way up to
• 50:06
  Speaker 1: smuggling AK forty sevens into Iran. Right, that was the
• 50:09
  Speaker 1: most recent one they came through. And it was funny too,
• 50:11
  Speaker 1: because they came out and said that they sent AK
• 50:13
  Speaker 1: forty sevens into Iran because they didn't want to use
• 50:16
  Speaker 1: AR fifteen's. But the people kept the AK forty sevens
• 50:19
  Speaker 1: and sold them to like Pakistan or someplace else like that. Right,
• 50:21
  Speaker 1: it never got passed out, right, So not only did
• 50:23
  Speaker 1: we pay for it, we gave them money for it,
• 50:25
  Speaker 1: they sold it.
• 50:26
  Speaker 2: Right.
• 50:28
  Speaker 1: People are seeing this now, and I'm telling you right now,
• 50:31
  Speaker 1: people are seeing this right now, and you can't help.
• 50:35
  Speaker 2: But to.
• 50:38
  Speaker 1: Think that one day that this could lead to something
• 50:41
  Speaker 1: popping off. Gas is four dollars to six dollars down
• 50:46
  Speaker 1: here in Florida, it's up to eight dollars in California.
• 50:50
  Speaker 1: I don't know what it's up in your way up
• 50:52
  Speaker 1: in up northeast, Jade, it's.
• 50:54
  Speaker 2: Like three for regular it's like three eighty.
• 50:59
  Speaker 1: Nine, right and climbing right, yeah, yeah, and then freaking
• 51:04
  Speaker 1: you see that. You look at our roads, our infrastructure,
• 51:09
  Speaker 1: are our basic bridges, you know, just bridges, right, just
• 51:15
  Speaker 1: I'm not even trying to do nothing special, just bridges.
• 51:18
  Speaker 1: And then the federal government saying, oh, that's not our problem,
• 51:23
  Speaker 1: it's the state problem. Well, hold on, sir, it is
• 51:25
  Speaker 1: your problem because I ninety five runs from Cuba all
• 51:30
  Speaker 1: the way up to Russia, keep going straight to cut
• 51:32
  Speaker 1: through Canada.
• 51:32
  Speaker 2: Right.
• 51:33
  Speaker 1: I ninety five was built by the US government so
• 51:38
  Speaker 1: we can move military troops up and down that you
• 51:41
  Speaker 1: can go look this up and right, and sixty six
• 51:43
  Speaker 1: goes east to west.
• 51:45
  Speaker 2: Right, yeah, yeah. The Eisenhower Highway system is awesome.
• 51:50
  Speaker 1: Yeah, exactly.
• 51:51
  Speaker 2: So, and you know why there's and I'll let you on,
• 51:54
  Speaker 2: but there's a really good reason why we don't do
• 51:56
  Speaker 2: that anymore.
• 51:57
  Speaker 1: Right, So don't tell me that, don't tell me that
• 52:00
  Speaker 1: you're not responsible that. And if you're not responsible for it,
• 52:04
  Speaker 1: this is a serious question. I'm being dead serious, right,
• 52:07
  Speaker 1: I'm being serious on this because I've never waited into
• 52:10
  Speaker 1: this argument for if you're not responsible for our infrastructure
• 52:13
  Speaker 1: and it falls back on the states, airports, stuff like that.
• 52:17
  Speaker 1: States to take care of yourself. And what the hell
• 52:20
  Speaker 1: am my federal taxes going to? What am I paying for?
• 52:23
  Speaker 1: What am I paying for? Don't say Social Security? That's
• 52:26
  Speaker 1: supposed to be my money put in to come back
• 52:28
  Speaker 1: on me. Don't tell me that. Don't tell me Medicaid
• 52:30
  Speaker 1: and all this other stuff, because you literally are telling
• 52:32
  Speaker 1: me that's going away.
• 52:33
  Speaker 2: Right.
• 52:33
  Speaker 1: And again, I'm a proponent. I am a proponent a
• 52:39
  Speaker 1: free health care for everybody on the planet. And again,
• 52:42
  Speaker 1: I'm not a liberal, I'm not a riety Republican. I'm
• 52:45
  Speaker 1: an independent.
• 52:45
  Speaker 2: But I tell you this, Joe, that literally makes you
• 52:48
  Speaker 2: a socialist.
• 52:49
  Speaker 1: Well, so here here's this. Then if I have to,
• 52:51
  Speaker 1: no one should die. Nobody should die from diarrhea. I've
• 52:55
  Speaker 1: said this before.
• 52:57
  Speaker 2: I'm unrepentant.
• 52:59
  Speaker 1: Yeah, healthcare guy exactly. So look, yeah, look at if
• 53:03
  Speaker 1: if we need to pay doctors X amount of money
• 53:06
  Speaker 1: and you're taking that out of my taxes, that's cool, sure,
• 53:08
  Speaker 1: no problem, pay them doctors. What I don't what I'm giving,
• 53:11
  Speaker 1: don't send don't send one hundred million to your ganda.
• 53:16
  Speaker 1: So that you can teach boys that can be girls
• 53:19
  Speaker 1: and X one in Africa. I don't get what are
• 53:21
  Speaker 1: you talking about, but that's what they're doing, right well,
• 53:24
  Speaker 1: I mean, and don't get you started on the wars.
• 53:28
  Speaker 2: That so some of that was usaid.
• 53:32
  Speaker 1: Money again you correct?
• 53:35
  Speaker 2: Do you really think that they were doing that with
• 53:38
  Speaker 2: that money or was that money going to a CIA
• 53:41
  Speaker 2: correct Honda somewhere who was sitting in a hotel room
• 53:44
  Speaker 2: listening to conversations on telephones.
• 53:46
  Speaker 1: And that's the problem. That's the thing right there. That's
• 53:49
  Speaker 1: the problem right there, that's the thing. And again that's
• 53:52
  Speaker 1: what people are upset about. The war aspected up we
• 53:55
  Speaker 1: give so again.
• 53:57
  Speaker 2: Oh yeah, we get hasn't hasn't hasn't passed an audit?
• 54:01
  Speaker 1: And what eight years?
• 54:02
  Speaker 2: Ever?
• 54:03
  Speaker 1: Eight years ever?
• 54:04
  Speaker 2: Eight years supposed ever since they started doing it eight.
• 54:08
  Speaker 1: Years right, supposedly eight years that haven't passed me and
• 54:10
  Speaker 1: you both know it's a lot longer than that, right,
• 54:13
  Speaker 1: so way longer. Here's the problem. You're taking our money,
• 54:18
  Speaker 1: you're sending it overseas. The people overseas are buying weapons
• 54:22
  Speaker 1: from US and then going to war over there where
• 54:25
  Speaker 1: you're sending me to die. If you that's what these
• 54:29
  Speaker 1: people are talking about. I ain't paying it. No, I
• 54:31
  Speaker 1: ain't paying it no more, I am not paying it.
• 54:34
  Speaker 1: And that's what people This is the people arguments, this
• 54:36
  Speaker 1: is this is their argument, right, and it's a lot
• 54:38
  Speaker 1: of them. I'm and I'm talking about they didn't give
• 54:40
  Speaker 1: a they didn't give a number, right, a specific number,
• 54:44
  Speaker 1: but it is well north of forty five percent have
• 54:48
  Speaker 1: kicked it down the road, well north of that, right again. Yeah,
• 54:51
  Speaker 1: and you take a step further that the rich don't
• 54:55
  Speaker 1: pay taxes because everything's in LLCs, are trust and written off,
• 55:01
  Speaker 1: and you have the bottom half class, the lower class.
• 55:04
  Speaker 1: I don't, I don't. I'm trying to the poverty stricken people.
• 55:07
  Speaker 1: They get full refunds. So it's the middle class that's
• 55:11
  Speaker 1: getting destroyed.
• 55:13
  Speaker 2: Right, So let me let me throw some interesting facts
• 55:17
  Speaker 2: at you.
• 55:17
  Speaker 1: Off, turn around, off the rants off there, come around.
• 55:20
  Speaker 2: No, And I agree with probably ninety eight percent of that,
• 55:24
  Speaker 2: maybe more than that. I don't think anybody should I
• 55:29
  Speaker 2: don't think anybody should have to pay for a diabetics medication. Yeah, right,
• 55:34
  Speaker 2: Like you should not be paying like three hundred dollars
• 55:37
  Speaker 2: a month for insulin and no, absolutely not not when
• 55:40
  Speaker 2: the when the cost of ruin that stuff up is
• 55:42
  Speaker 2: a dollar.
• 55:43
  Speaker 1: Right, when you get you get a CD dollar in Mexico,
• 55:46
  Speaker 1: So why is it four hundred dollars? Right, yeah, right, right, yeah, exactly.
• 55:51
  Speaker 2: I'm with you on that one hundred percent. But there's
• 55:54
  Speaker 2: a problem there where we can't afford it, right, it
• 56:01
  Speaker 2: becomes an issue. Now I want you to and anyone
• 56:06
  Speaker 2: can go look this up. This is just information that's
• 56:10
  Speaker 2: out there. So you got to look at what the
• 56:13
  Speaker 2: top marginal tax rate is. Right. So from nineteen thirty
• 56:20
  Speaker 2: three is where I did my start. In nineteen thirty
• 56:25
  Speaker 2: three to nineteen thirty five, the top marginal rate was
• 56:28
  Speaker 2: sixty three percent on incomes over a million. In nineteen
• 56:37
  Speaker 2: forty four to forty five, the top rate was ninety
• 56:42
  Speaker 2: four percent on taxable income over two hundred thousand dollars.
• 56:49
  Speaker 2: Ninety four percent tax rate, Okay. In the nineteen fifties,
• 56:54
  Speaker 2: the top rate stayed high at ninety one percent, right,
• 57:00
  Speaker 2: a rate that applied to a relatively small number of people,
• 57:03
  Speaker 2: meaning only the people at the top. Right, they were
• 57:06
  Speaker 2: paying a ninety five percent tax rate in the nineteen fifties.
• 57:11
  Speaker 2: What was the nineteen fifties.
• 57:12
  Speaker 1: Like what was it pretty good from the really nice
• 57:17
  Speaker 1: and you could raise a kid and send them to
• 57:20
  Speaker 1: Harvard Man, three of them right with one dude going
• 57:22
  Speaker 1: to work, right, yeah.
• 57:23
  Speaker 2: Right, exactly right, And so then you had that continued
• 57:30
  Speaker 2: right until nineteen sixty four when the top rate was
• 57:34
  Speaker 2: dropped down to seventy percent, right nineteen eighty one, fifty,
• 57:45
  Speaker 2: It was fifty percent in nineteen eighty two and twenty
• 57:49
  Speaker 2: eight percent in nineteen eighty eight. Do you see a
• 57:52
  Speaker 2: trend here, Yeah, as to we're building brivet bridges and
• 57:56
  Speaker 2: highways and infrastructure in the nineteen fifties all the way
• 58:00
  Speaker 2: up to the nineteen eighties, and then all of a
• 58:03
  Speaker 2: sudden it stopped because most of the roads that we
• 58:07
  Speaker 2: are getting around on right now, we're built in the
• 58:10
  Speaker 2: nineteen eighty like before the nineteen eighties.
• 58:13
  Speaker 1: Yeah, and trash now, yeah.
• 58:15
  Speaker 2: And since nineteen eighty we haven't maintained them because the
• 58:20
  Speaker 2: tax rate from when they were built at ninety one
• 58:23
  Speaker 2: percent went from ninety one percent to twenty eight percent. Right.
• 58:30
  Speaker 2: They rose slightly in the nineties up to thirty nine percent,
• 58:33
  Speaker 2: and now I believe they're at thirty seven percent for
• 58:40
  Speaker 2: the top tax rate. And that's the top. That is
• 58:43
  Speaker 2: a tippy tippy top thirty seven percent as opposed to
• 58:47
  Speaker 2: ninety one percent. Now here's what I want to say, right,
• 58:52
  Speaker 2: if I hear this, you know, make America grade again.
• 58:56
  Speaker 2: And so my question has always been to that when
• 58:59
  Speaker 2: was America grade? Like what period of time are you
• 59:02
  Speaker 2: talking about? Because you're talking about again, which means at
• 59:05
  Speaker 2: one point it was great.
• 59:06
  Speaker 1: Yeah, So you need to.
• 59:08
  Speaker 2: Tell me what period of time that is. Oh, you
• 59:10
  Speaker 2: mean the fifties, the sixties when the tax rate on
• 59:13
  Speaker 2: billionaires was seventy to eighty to ninety percent. Because that's
• 59:20
  Speaker 2: why it was great, because all those dudes were paying
• 59:23
  Speaker 2: a lot of money in taxes and the government was
• 59:26
  Speaker 2: flushed with income that they could devote to infrastructure.
• 59:30
  Speaker 1: Yeah, and stop sending it away. That's that's the problem
• 59:35
  Speaker 1: that I see again, Like I just.
• 59:37
  Speaker 2: Why are we sending it? Why are we building roads
• 59:39
  Speaker 2: in other countries when ours are broken? Yeah?
• 59:41
  Speaker 1: And I have a theory on that. I really do
• 59:43
  Speaker 1: have a theory on that. Right, it's gonna it's it's
• 59:46
  Speaker 1: like I said, we talk about this all the time.
• 59:47
  Speaker 1: We break things down, we bullet down to the lowest
• 59:49
  Speaker 1: common denominator, right, And I'm telling you they hate us.
• 59:56
  Speaker 1: They absolutely they hate us. The people that are in top,
• 1:00:01
  Speaker 1: the people that are in the top right there, they
• 1:00:04
  Speaker 1: look at us like we are just completely foreign objects
• 1:00:09
  Speaker 1: to them, right.
• 1:00:10
  Speaker 2: And so I don't even think it goes that far, dude,
• 1:00:12
  Speaker 2: I don't even think it goes to hate. I think
• 1:00:14
  Speaker 2: it just goes to you are not giving me any money,
• 1:00:18
  Speaker 2: so why should I care about you?
• 1:00:20
  Speaker 1: Really, do you think that I actually think I actually
• 1:00:23
  Speaker 1: think that this is don't.
• 1:00:25
  Speaker 2: Think I don't think we register now. I owe, by
• 1:00:32
  Speaker 2: and large, people aren't malicious. True, I don't think that
• 1:00:37
  Speaker 2: they actively I don't think that those people. Number one, Okay,
• 1:00:42
  Speaker 2: the people who make these sorts of decisions are are Congress.
• 1:00:47
  Speaker 1: Correct.
• 1:00:48
  Speaker 2: Congress is owned by their donors, whoever those donors may be.
• 1:00:54
  Speaker 2: And there is a wide range of shenanigans going on
• 1:00:58
  Speaker 2: there right the donors, the corporations have lowered the tax
• 1:01:04
  Speaker 2: rate way down so that they don't have to pay.
• 1:01:09
  Speaker 2: There's been a big, huge swing and CEO income over
• 1:01:12
  Speaker 2: that same period. I'scribed huge right at the top who
• 1:01:19
  Speaker 2: have who have basically bought the government so that they
• 1:01:23
  Speaker 2: can get richer. And that's it's It's as simple as that.
• 1:01:26
  Speaker 2: And there's no like maliciousness or a conspiracy or anything
• 1:01:31
  Speaker 2: like that. It's just plain old greed.
• 1:01:34
  Speaker 1: It all comes back to grade man, it always does.
• 1:01:36
  Speaker 2: And Comcast is filling the pockets of the dude in Philadelphia.
• 1:01:40
  Speaker 2: Cox Cable is filling the pockets of the dude in
• 1:01:42
  Speaker 2: Texas or California or wherever. You know, Arizona is where
• 1:01:46
  Speaker 2: I believe their headquarters is. You know, Pfizer is lying
• 1:01:49
  Speaker 2: in the pockets of the dude in Connecticut. I mean,
• 1:01:53
  Speaker 2: we don't have The one thing I disagree is with
• 1:01:57
  Speaker 2: his Our votes don't matter because I believe they matter.
• 1:02:02
  Speaker 2: I just don't believe they matter as much as you think.
• 1:02:05
  Speaker 2: They only matter when they're coming up for reelection, right
• 1:02:10
  Speaker 2: because to maintain this illusion of democracy, some of them
• 1:02:15
  Speaker 2: have to lose.
• 1:02:16
  Speaker 1: Well, yeah, to maintain that, to maintain that, you have so.
• 1:02:21
  Speaker 2: Where your power lies as an individual voter is to
• 1:02:26
  Speaker 2: vote anti incumbent, meaning you vote against the guy that's
• 1:02:31
  Speaker 2: in there right now. And if we do that, and
• 1:02:36
  Speaker 2: nobody's doing that, but if we did that for a
• 1:02:39
  Speaker 2: couple of cycles and got everybody out, and then even
• 1:02:43
  Speaker 2: the guy that you voted for last time you're voting
• 1:02:46
  Speaker 2: for him, you're voting against him now, So have to
• 1:02:50
  Speaker 2: introduce an immense amount of churn.
• 1:02:53
  Speaker 1: Change is not a bad thing, man, that's for sure.
• 1:02:56
  Speaker 2: In order for them not to be able to get
• 1:02:58
  Speaker 2: a grip on some politicians, the guy's only going to
• 1:03:01
  Speaker 2: be there two years. They're not going to invest a
• 1:03:02
  Speaker 2: million dollars in them or billion dollars or whatever. He's
• 1:03:07
  Speaker 2: going to be gone in two years, So they can't
• 1:03:09
  Speaker 2: get a hold of somebody. Somebody owns Lindsey Graham. You
• 1:03:14
  Speaker 2: know for sure that dude heart and soul, and it's
• 1:03:17
  Speaker 2: probably a pa.
• 1:03:18
  Speaker 1: It's a pack right on, Luckheed Martin, name it.
• 1:03:24
  Speaker 2: He's been in there for thirty years. If everybody like
• 1:03:29
  Speaker 2: you're so mad at him, if the people of South
• 1:03:31
  Speaker 2: Carolina are so mad at him, why do they keep
• 1:03:33
  Speaker 2: voting for him?
• 1:03:34
  Speaker 1: Yeah? And again too. Man, you got you got, you
• 1:03:35
  Speaker 1: got not only him, man, you got Mitch McConnell, who's
• 1:03:37
  Speaker 1: one hundred years old. You got that other dude out
• 1:03:39
  Speaker 1: of freaking's demented.
• 1:03:41
  Speaker 2: He's barely a functional human being.
• 1:03:43
  Speaker 1: The other the other one, talk, the other one who's
• 1:03:46
  Speaker 1: the Democrat out of New York, Chuck Schumer.
• 1:03:49
  Speaker 2: Woman in the wheelchair. He's he's at least he's married
• 1:03:53
  Speaker 2: to a dude capable of speech. Nice.
• 1:03:56
  Speaker 1: Ever ever seen him? You ever see him write it?
• 1:04:00
  Speaker 1: He reminds me of a creature out of out of
• 1:04:05
  Speaker 1: out of a out of Lord of the Old, Lord
• 1:04:08
  Speaker 1: of the Rings, right, like a little I'm going to
• 1:04:10
  Speaker 1: the stadium whatever?
• 1:04:12
  Speaker 2: Right, And then you had what was I think it
• 1:04:14
  Speaker 2: was Diane Feinstein.
• 1:04:16
  Speaker 1: Yeah, she had a stroke and they brought it. Yeah,
• 1:04:18
  Speaker 1: she was kind of talent.
• 1:04:19
  Speaker 2: Man.
• 1:04:21
  Speaker 1: All right, Jay, wrapping this up here, man, real quick.
• 1:04:25
  Speaker 1: That's a fun question because I like to end things
• 1:04:27
  Speaker 1: on a fun note. Looking back on history, Jay, what
• 1:04:31
  Speaker 1: time frame or era would you want to live in?
• 1:04:33
  Speaker 1: That what you thought America would be the best time
• 1:04:36
  Speaker 1: to live in or be you know, a great period
• 1:04:39
  Speaker 1: to live in.
• 1:04:40
  Speaker 2: I mean, it's that's that's an easy for a way, dude.
• 1:04:43
  Speaker 2: We can just kind of pick whatever.
• 1:04:44
  Speaker 1: Time pick one. You gotta pick. You gotta pick a
• 1:04:47
  Speaker 1: time frame.
• 1:04:47
  Speaker 2: Man, Where would I want to live in the past?
• 1:04:56
  Speaker 2: I don't know. Probably I turned the Great Depression, probably
• 1:05:05
  Speaker 2: right after a war.
• 1:05:06
  Speaker 1: Whow the fifties, I'm talking about the fifties, the sixties.
• 1:05:09
  Speaker 2: Forties, probably probably the late sixties, probably like sixty.
• 1:05:14
  Speaker 1: Five ish, you know, for mixty yeah.
• 1:05:18
  Speaker 2: Sixty five to seventy maybe for me.
• 1:05:21
  Speaker 1: Bro, Like I'm looking back at some of these old things, Right,
• 1:05:24
  Speaker 1: there's this there's this documentary I'm walking my way through
• 1:05:27
  Speaker 1: right now. It's called The Lords of Dogtown or something
• 1:05:29
  Speaker 1: like that, and it's like a and it just seems
• 1:05:33
  Speaker 1: to me that for like for fun for funsies, right,
• 1:05:37
  Speaker 1: being an adult in the seventies seems like it was
• 1:05:42
  Speaker 1: a pretty fun time.
• 1:05:43
  Speaker 2: Man.
• 1:05:43
  Speaker 1: It's like just to go and like just through things
• 1:05:46
  Speaker 1: like that. Right, So if I had to go back,
• 1:05:47
  Speaker 1: man and say that I wanted to be, like, say
• 1:05:49
  Speaker 1: I wanted to be twenty one, I would say I'd
• 1:05:51
  Speaker 1: want to be twenty one like in the seventh right,
• 1:05:53
  Speaker 1: like from nineteen seventies just to right up like the
• 1:05:56
  Speaker 1: mid eighties or something like that, Right, I.
• 1:05:58
  Speaker 2: Think that's like the nineties was fun, dude.
• 1:06:01
  Speaker 1: Yeah, it was fun, man, But like, yeah, we kind
• 1:06:03
  Speaker 1: of did that, you know what I'm saying.
• 1:06:05
  Speaker 2: Like that's why I was trying to like, Yeah, I
• 1:06:08
  Speaker 2: mean we did the nineties, so that was kind of thing.
• 1:06:11
  Speaker 2: So I can go back farther. Probably they had late
• 1:06:14
  Speaker 2: late sixties early seventies.
• 1:06:15
  Speaker 1: Probably that's good enough anyways. Jay, So that's our thing.
• 1:06:18
  Speaker 1: We're going to keep it. Start ending these things on
• 1:06:21
  Speaker 1: positive notes. Jay, that's you. You know what you're bringing
• 1:06:23
  Speaker 1: people bringing people down here. It's right, everybody, that's our
• 1:06:27
  Speaker 1: show today. If this is the first time you're finding us,
• 1:06:30
  Speaker 1: this is the Enigma Daily. We are the sister channel
• 1:06:32
  Speaker 1: of the Ancient Enigma Files. We go live Monday through
• 1:06:36
  Speaker 1: Friday through spur during sporadic times because we have sporadic lives,
• 1:06:41
  Speaker 1: but we're trying to maintain that peg that down once
• 1:06:44
  Speaker 1: once a week Monday through Friday, so you guys can
• 1:06:46
  Speaker 1: hang out with us if you're interested in our deep dives,
• 1:06:49
  Speaker 1: fact based strangeness or whatever. When we get into head
• 1:06:53
  Speaker 1: over to the Ancient Enigma Files. Find our show over
• 1:06:55
  Speaker 1: there called Enigma Cast. It drops on Thursday nine p
• 1:07:00
  Speaker 1: as well. But it is what it is over here.
• 1:07:04
  Speaker 1: It's off the script. You get our feelings, off the
• 1:07:07
  Speaker 1: cuff things, and that's what you guys are asking for,
• 1:07:09
  Speaker 1: and that's what you guys get. We're on every single
• 1:07:11
  Speaker 1: streaming major platform on the planet, Enigma Cast and the
• 1:07:14
  Speaker 1: Enigma Daily. However, if you want to see the video format,
• 1:07:17
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• 1:07:19
  Speaker 1: want the audio format. Driving to work, go to your
• 1:07:22
  Speaker 1: favorite I guess podcasting station or whatever typing the Enigma
• 1:07:27
  Speaker 1: daily and you get to hear us to Jay, thanks
• 1:07:30
  Speaker 1: for hanging out as always. Man, You got any words
• 1:07:32
  Speaker 1: of wisdom before you walk it out of here?
• 1:07:36
  Speaker 2: Yeah? Pay your taxes are going to take it anyway.
• 1:07:38
  Speaker 1: Pay your taxes are going to take it anyways. Words
• 1:07:41
  Speaker 1: lit by guys until it changes. We will see you
• 1:07:44
  Speaker 1: guys tomorrow and we were out.
• 1:07:47
  Speaker 2: Subscribe now and turn on notifications to join us on
• 1:07:50
  Speaker 2: this extraordinary journey into the unknown.