Latest / NO FILTER / Joe Rogan Experience _2404 - Elon Musk(M4A_128K)

Transcript

Joe Rogan Experience _2404 - Elon Musk(M4A_128K) · NO FILTER

• 0:03
  Speaker 1: Check it out. But Joe Willgan experience train by day, Joe.
• 0:07
  Speaker 2: Rogan podcast by night, all day.
• 0:12
  Speaker 1: Exactly every morning.
• 0:15
  Speaker 2: What a Jeff Fellers doing.
• 0:18
  Speaker 3: Definitely he looks jacked right, Yeah, but he did like quick, quick, quick, like.
• 0:28
  Speaker 2: He got jack age like fifty fifty and age fifty nine.
• 0:31
  Speaker 2: In less than a year. He went from pencil net
• 0:34
  Speaker 2: geek to uh looking like like the rock.
• 0:38
  Speaker 1: Yeah, like a little miniature alpha fella. Yeah.
• 0:41
  Speaker 2: Like his neck got bigger than his head.
• 0:42
  Speaker 1: Yeah.
• 0:43
  Speaker 2: But then like his earlier pictures, his next like a noodle.
• 0:46
  Speaker 1: I support this activity. I just see him going in
• 0:49
  Speaker 1: this direction.
• 0:49
  Speaker 2: Which is fine, and his voice dropped like two octaves.
• 0:52
  Speaker 1: I want you to move in that direction as well.
• 0:53
  Speaker 1: I think we can achieve this. I mean I think
• 0:57
  Speaker 1: we can achieve Take a chab, that's what people called it.
• 1:02
  Speaker 2: Where is that guy, people, I don't know where he is.
• 1:06
  Speaker 1: That's like a real guy, the artist, yeah chat Yeah,
• 1:11
  Speaker 1: I don't know if that's a real guy.
• 1:12
  Speaker 2: It is a real guy.
• 1:13
  Speaker 1: It is a real guy. Yeah, he's got the crazy
• 1:15
  Speaker 1: jaw and like perfect sculpted hair.
• 1:17
  Speaker 2: Yeah. Yeah, well, I mean they may have exaggerated a
• 1:19
  Speaker 2: little bit, but probably, but no, I think I think
• 1:23
  Speaker 2: he actually just kind of looked like that in reality,
• 1:26
  Speaker 2: so like he's a pretty unique looking individual.
• 1:30
  Speaker 1: I think we can achieve this. That guy right there,
• 1:32
  Speaker 1: that's a real guy. I always thought that that was
• 1:37
  Speaker 1: c G.
• 1:37
  Speaker 2: I No, I think one of the I think the
• 1:39
  Speaker 2: upper right one is not.
• 1:41
  Speaker 1: That's not that one to the left of that, like,
• 1:43
  Speaker 1: that's real. No, that's that's artificial. Bro, that's fake. That's
• 1:47
  Speaker 1: got that uncanny valley feel to it, doesn't it.
• 1:51
  Speaker 2: It's it's not impossible.
• 1:52
  Speaker 1: No, no, it's not impossible to achieve, but it's not
• 1:55
  Speaker 1: it's not possible to maintain that kind of leanness.
• 1:58
  Speaker 2: No, no, I mean that's like you're you're also at
• 2:01
  Speaker 2: that point, you're there, he's dehydrating and all sorts of things.
• 2:04
  Speaker 1: Oh it's based on a real person. Yeah, yeah, based right,
• 2:07
  Speaker 1: but it's not a real person. Was really like those
• 2:09
  Speaker 1: images I think are bullshit. Some of them are Is
• 2:13
  Speaker 1: that real? Okay?
• 2:14
  Speaker 2: That real?
• 2:15
  Speaker 1: That looks real, That looks are really Jack body Builder?
• 2:17
  Speaker 2: Yeah yeah, that looks real.
• 2:19
  Speaker 1: Like that's achievable. But there's a few of those images
• 2:22
  Speaker 1: where you're just like, what's going on here?
• 2:24
  Speaker 2: Yeah? Yeah, yeah, totally. Well, I mean you see it
• 2:29
  Speaker 2: is that is that the that's the real dude. Well,
• 2:31
  Speaker 2: there's that that that Icelandic dude who's oh yeah, the guy.
• 2:35
  Speaker 1: Who jumps in the Frozen Lakes and ship.
• 2:37
  Speaker 2: Well, the guy who played the Mountain.
• 2:39
  Speaker 1: Oh that guy that is like.
• 2:41
  Speaker 2: A that is like a mutant strong human. Yes, yeah,
• 2:45
  Speaker 2: like he would be in like the X Men or something.
• 2:47
  Speaker 2: You know, he's just like not like and there's that
• 2:53
  Speaker 2: you know that. I've seen that meme tent and tent bag,
• 2:56
  Speaker 2: you know how like it's like it's really hard to
• 2:58
  Speaker 2: get the tent right. There's a picture of him and
• 3:07
  Speaker 2: his girlfriend, right, yeah, that's how he gets in there.
• 3:14
  Speaker 2: You know. It's like it seems too small.
• 3:15
  Speaker 1: But I met Brian Shaw. Brian Shaw's like the world's
• 3:20
  Speaker 1: most powerful man and he's almost seven feet tall. He's
• 3:23
  Speaker 1: four hundred pounds and his his bone density is one
• 3:28
  Speaker 1: in five hundred million people. So there's one. It's like
• 3:33
  Speaker 1: there's like maybe sixteen people. He's an enormous human being,
• 3:38
  Speaker 1: like a legitimate giant. Look just like that guy. But
• 3:41
  Speaker 1: we met him. He was hanging out with us in
• 3:43
  Speaker 1: the green room of the mother Ship. But it's like, okay,
• 3:45
  Speaker 1: if this was like David and Goliath day. It's like,
• 3:47
  Speaker 1: this is an actual giant, like the giants of.
• 3:49
  Speaker 2: The Bible once in a while to get a super
• 3:51
  Speaker 2: giant post.
• 3:51
  Speaker 1: This is a real, real one. Like not a tall,
• 3:54
  Speaker 1: skinny basketball player. Yeah, like a seven foot four hundred
• 3:57
  Speaker 1: pound powerlifter, Like you don't want to it's that's the guy.
• 4:01
  Speaker 1: See if there's a photo of him standing next to
• 4:03
  Speaker 1: like a regular human, there it is, that's him right there.
• 4:06
  Speaker 2: Like there's like there's like one of him with next
• 4:08
  Speaker 2: to standings to donold and stuff. Yeah, it's where everyone
• 4:11
  Speaker 2: everyone just looks tiny. I mean, I think it's pretty cool, dude.
• 4:14
  Speaker 1: Actually, oh, Brian's very cool, very smart too. Unusually, you know,
• 4:18
  Speaker 1: you expect anybody to be that big. It's got to
• 4:20
  Speaker 1: be a morony.
• 4:22
  Speaker 2: No, yeah, there's there's under the giant. He was awesome. Yeah,
• 4:27
  Speaker 2: he was great, Princess Brian.
• 4:29
  Speaker 1: No, he was just awesome period.
• 4:30
  Speaker 2: Yeah. Yeah.
• 4:31
  Speaker 1: So we were talking about this interview with Sam Altman
• 4:36
  Speaker 1: and Tucker, and I was like, we should probably just
• 4:37
  Speaker 1: talk about this on the air because it is one
• 4:40
  Speaker 1: of the craziest interviews I think I've ever seen in
• 4:42
  Speaker 1: my life where Tucker starts bringing up this guy who
• 4:46
  Speaker 1: was whistle blow whatever, whistle blower who you know, committed
• 4:51
  Speaker 1: suicide but doesn't look like it. And he's talking to
• 4:55
  Speaker 1: Sam Altman about this, and Sam Alton was like, are
• 4:58
  Speaker 1: you accusing me? He's like no, no, no, oh I'm not.
• 5:01
  Speaker 1: I'm just saying I think someone killed him.
• 5:03
  Speaker 2: Yeah. Like, and you should be investigated, yeah, not just
• 5:07
  Speaker 2: drop the case. It seems like that they just dropped
• 5:11
  Speaker 2: the case. Yeah, but he was murdered. The wires to
• 5:15
  Speaker 2: a security camera were cut.
• 5:17
  Speaker 1: Blood in two rooms, blood.
• 5:19
  Speaker 2: In two rooms. Someone else's wig was in the room.
• 5:21
  Speaker 1: Someone else's wig, wig wig. Yes, not normal to have
• 5:25
  Speaker 1: a wig laying around.
• 5:27
  Speaker 2: Yes. And and he ordered door dash right before allegedly
• 5:32
  Speaker 2: committing suicide. Yeah, which is it seems unusual, you know yeah,
• 5:37
  Speaker 2: It's like, you know, let's I'm an order pizza on
• 5:39
  Speaker 2: second thought, tell k myself. It seems like that's a
• 5:43
  Speaker 2: very rapid change in mindset.
• 5:45
  Speaker 1: It's very weird. And especially the parents have they they
• 5:49
  Speaker 1: don't believe he committed suicide.
• 5:50
  Speaker 2: At all, has no note or anything.
• 5:52
  Speaker 1: No, it seems pretty fucked up. And you know the
• 5:55
  Speaker 1: idea that I'll whistle blower for an enormous AI company
• 5:59
  Speaker 1: that's worth billions of dollars might get whacked. That's not
• 6:03
  Speaker 1: outside the pie.
• 6:04
  Speaker 2: I mean it's straight out of a movie, right out.
• 6:06
  Speaker 1: Of a movie. But right out of a movie is
• 6:08
  Speaker 1: real sometimes, Yeah, right, exactly right.
• 6:11
  Speaker 2: It's a little weird that I think I think they
• 6:13
  Speaker 2: should do a proper investigation. Like what's the downside on
• 6:16
  Speaker 2: that proper investigation? Right?
• 6:18
  Speaker 1: No, yeah, for sure, But the whole exchange is so bizarre. Yeah,
• 6:24
  Speaker 1: Sam Altman's reaction to being accused of murderers bizarre.
• 6:28
  Speaker 2: Look, I don't know if he's guilty, but it's not
• 6:31
  Speaker 2: possible to look more guilty, So I'm like.
• 6:36
  Speaker 1: Or I look more weird. You know. Maybe it's just
• 6:40
  Speaker 1: his social thing, Like maybe he's just odd with confrontation
• 6:44
  Speaker 1: and it just goes blank. You know. But if if
• 6:49
  Speaker 1: somebody was accusing me of killing Jamie, like if Jamie
• 6:52
  Speaker 1: was a whistleblower and Jamie got whacked, and then I'd
• 6:54
  Speaker 1: be like, wait, what do you what do you are
• 6:56
  Speaker 1: you accusing me of killing my friend? Like what the
• 6:58
  Speaker 1: fuck are you talking about? I would be a little
• 7:00
  Speaker 1: bit more irate.
• 7:02
  Speaker 2: Yeah, yeah, exactly, you know, it would be a little
• 7:04
  Speaker 2: upset Yeah, it'd be like, well, you'd be like, you'd
• 7:10
  Speaker 2: certainly insist on a thorough investigation. Yeah, as opposed to
• 7:13
  Speaker 2: trying to sweep it under the rock.
• 7:15
  Speaker 1: Yeah, I wouldn't assume that he got that he committed suicide.
• 7:18
  Speaker 1: I would be suspicious if talker was telling me that
• 7:21
  Speaker 1: aspect of the story, I'd be like, that does seem
• 7:23
  Speaker 1: like a murder. Fuck, we should look into those.
• 7:25
  Speaker 2: I mean, all signs point to it being a motor,
• 7:27
  Speaker 2: not saying, you know, Sam Alvin had anything to do
• 7:29
  Speaker 2: with the.
• 7:30
  Speaker 1: Motor, But blood in two rooms.
• 7:31
  Speaker 2: But blood in two rooms, like yeah, the wires of
• 7:35
  Speaker 2: the security camera and the door dash being ordered right
• 7:37
  Speaker 2: before suicide? No suicide. Note his parents think he was murdered,
• 7:41
  Speaker 2: and the people that I know who knew him said
• 7:45
  Speaker 2: he was not suicidal. So I'm like this, why would
• 7:50
  Speaker 2: you jump to the conclusion. Uh?
• 7:53
  Speaker 1: They sue The son's landlord alleged the owners and the
• 7:56
  Speaker 1: managers of their son San Francisco apartment building are part
• 7:58
  Speaker 1: of a widespread cover up of his death.
• 8:00
  Speaker 2: Landlord, Yeah, there's a bunch of weird.
• 8:01
  Speaker 1: They said, there's like packages missing from the buildings. Some
• 8:04
  Speaker 1: people said this saw packages still being delivered and all
• 8:06
  Speaker 1: a sudden they all disappeared. Huh, that could be people
• 8:10
  Speaker 1: steal people's packages all the time.
• 8:12
  Speaker 2: Situation. Yeah, filled the safeguard.
• 8:16
  Speaker 1: Also, I mean the amount of trauma those poor parents
• 8:19
  Speaker 1: have gone through with their son dying like that. I mean,
• 8:21
  Speaker 1: it must God bless them. And how could they stay
• 8:26
  Speaker 1: sane after something like that. They're probably they're so grief stricken.
• 8:30
  Speaker 1: Who knows what they believe at this point.
• 8:32
  Speaker 2: Yeah, you should have asked if EPs killed himself.
• 8:38
  Speaker 1: Yeah, that's the cash damn Bungee trying to convince everybody
• 8:43
  Speaker 1: of that.
• 8:45
  Speaker 2: The gods weren't there, and the camera stopped working, and
• 8:49
  Speaker 2: you know.
• 8:50
  Speaker 1: The guards were asleep, the cameras weren't working. He had
• 8:54
  Speaker 1: a giant steroid up bodybuilder god that he was sharing
• 8:58
  Speaker 1: a cell with that was a murder who was a
• 9:00
  Speaker 1: bad cop. Like, all of it's kind of nuts. All
• 9:04
  Speaker 1: of it's kind of nuts, like that he would just
• 9:06
  Speaker 1: kill himself rather than reveal all of his billionaire friends.
• 9:12
  Speaker 2: Yeah, and then.
• 9:15
  Speaker 1: This I did Chris Cromo just looked so stupid, and
• 9:23
  Speaker 1: he's like, I agree, it's strange, Like, of course it's strange.
• 9:25
  Speaker 1: Chris Jesus Christ you can't just go with the tide.
• 9:30
  Speaker 1: You got to think things through. And if you think
• 9:33
  Speaker 1: that one through, you're like, I don't think he killed himself.
• 9:35
  Speaker 1: Nobody does. You don't have to work for an intelligence
• 9:37
  Speaker 1: agency to think he killed himself.
• 9:40
  Speaker 2: It does. It does seem unlikely.
• 9:42
  Speaker 1: It seems high point to murder point two. They had
• 9:50
  Speaker 1: to get rid of him because he knew too much.
• 9:52
  Speaker 1: Whatever the fuck he was doing, whatever kind of an
• 9:55
  Speaker 1: asset he was, whatever thing he was up to. You know,
• 9:59
  Speaker 1: it was apparently very effective, and a lot of people
• 10:02
  Speaker 1: were compromised. You see, your boy Bill Gates is now
• 10:06
  Speaker 1: saying climate change is not a big deal. It Relax everybody.
• 10:09
  Speaker 1: I know, I scared the fuck out of you for
• 10:11
  Speaker 1: the last decade and a half. But ah, we're gonna
• 10:13
  Speaker 1: be fine.
• 10:16
  Speaker 2: Yeah. I mean, you know, as I was saying, as
• 10:20
  Speaker 2: I was saying just before coming into the studio with
• 10:22
  Speaker 2: you know, like every day there's some crazy, wild new
• 10:26
  Speaker 2: thing that's happenings. It feels like reality is accelerating.
• 10:29
  Speaker 1: It's every day, and every day it's like more and
• 10:33
  Speaker 1: more ridiculous, to the point where the simulation is more
• 10:36
  Speaker 1: and more undeniable.
• 10:37
  Speaker 2: Yeah, yeah, it really feels like simulation. You know, it's like,
• 10:40
  Speaker 2: come on, what are the odds that this could be
• 10:42
  Speaker 2: the case.
• 10:42
  Speaker 1: Are you paying attention at all? The three I atlas?
• 10:45
  Speaker 2: Are you the commet?
• 10:47
  Speaker 1: Yeah?
• 10:48
  Speaker 2: Yeah, yeah, I mean, I mean one thing I can
• 10:51
  Speaker 2: say is like, look.
• 10:52
  Speaker 4: I if I was aware of any evidence of aliens,
• 10:59
  Speaker 4: Joey you have my work, I will come on your
• 11:00
  Speaker 4: show and I will reveal it on the show.
• 11:03
  Speaker 2: Okay, yeah, that's.
• 11:04
  Speaker 1: A good deal.
• 11:05
  Speaker 2: Yeah, it's pretty good.
• 11:06
  Speaker 1: Believe you.
• 11:06
  Speaker 2: Yeah, thank you. I'll stick I keep you know, keep
• 11:09
  Speaker 2: my promises. So all right, I'll you to that. Yeah.
• 11:13
  Speaker 1: Yeah.
• 11:13
  Speaker 2: And I'm never committing suicide. To be clear, I don't
• 11:17
  Speaker 2: think you would either. On the camera, guys, I am
• 11:20
  Speaker 2: committing suice.
• 11:21
  Speaker 1: Led Ever, if someone says you committed suicide, I will
• 11:24
  Speaker 1: fight tooth and nail. I will fight too. I will
• 11:27
  Speaker 1: I will not believe it. I will not believe it.
• 11:30
  Speaker 1: The thing about the three eye atlases, it's actually yeah, it's.
• 11:34
  Speaker 2: Sounds it sounds like eye or something.
• 11:36
  Speaker 1: Yeah, it does. Three I is third. It's only the
• 11:40
  Speaker 1: third interstellar objects detected. Okay, yeah.
• 11:46
  Speaker 2: Yeah.
• 11:47
  Speaker 1: Obby Lobe is on the podcast a couple of days
• 11:49
  Speaker 1: ago talking about it.
• 11:50
  Speaker 2: Yeah, it could be only I don't know, but.
• 11:52
  Speaker 1: Apparently today they're saying that it's changed. Course, did you
• 11:57
  Speaker 1: see that, Jamie Abby Lobe said something today. I'll send
• 12:00
  Speaker 1: it to you. I know it's on Reddit. Here you go,
• 12:09
  Speaker 1: Jammie also two right now. It's fascinating. It's fascinating also
• 12:13
  Speaker 1: because it's made almost entirely of nickel, whatever it is,
• 12:17
  Speaker 1: and the only way that exists here is industrial alloys apparently, but.
• 12:23
  Speaker 2: Know there are there are, there are definitely comments that
• 12:26
  Speaker 2: and asteroids that are made primarily of nickel. Yeah, so
• 12:31
  Speaker 2: the places where your mind nickel on Earth is actually
• 12:35
  Speaker 2: where there was an asteroid of commet that hit Earth
• 12:37
  Speaker 2: that was a nickel rich Uh you know, asked.
• 12:40
  Speaker 1: Nickel nickel rich rich deposit.
• 12:43
  Speaker 2: Yeah, that's that, that's that's that's coming. Those are from impacts.
• 12:46
  Speaker 2: You definitely didn't want to be there at the time
• 12:48
  Speaker 2: because anything would have been obliterated. Right, But that's that's
• 12:51
  Speaker 2: where the sources of nickel and cobalt are these days.
• 12:54
  Speaker 1: So this is obviult. A few hours ago, the first
• 12:56
  Speaker 1: hint of non gravitational acceleration that something other than gravity
• 12:59
  Speaker 1: is affecting its celeration, meaning something is affecting its trajectory
• 13:03
  Speaker 1: beyond gravity was indicated. Interesting dun dun, dum. So it's
• 13:12
  Speaker 1: mostly nickel, very little iron, which he was saying is
• 13:17
  Speaker 1: on Earth it only exists in alloys. But whatever you're
• 13:22
  Speaker 1: dealing with another planet this.
• 13:24
  Speaker 2: That there are there are there are cases where there's
• 13:26
  Speaker 2: very nickel rich asteroids met right, that.
• 13:28
  Speaker 1: That happened for something from space.
• 13:31
  Speaker 2: Yeah, it's it's something. It doesn't mean it would be
• 13:33
  Speaker 2: very sort of heavy spaceship if you make it all
• 13:36
  Speaker 2: out of nickel.
• 13:36
  Speaker 1: Oh yeah, and fucking huge the size of Manhattan and
• 13:40
  Speaker 1: all nickel. That's kind of nuts.
• 13:41
  Speaker 2: Yeah, that's a heavy space that's a real problem if
• 13:44
  Speaker 2: it hits. Yes, no, we would like obliterate a continent
• 13:47
  Speaker 2: type of thing. Yeah, maybe maybe it was.
• 13:50
  Speaker 1: I'll probably kill most of human life, if not all.
• 13:54
  Speaker 2: Of us, depends on what the total masses. But there's
• 13:58
  Speaker 2: I mean, the thing is that like in the fossil record,
• 14:00
  Speaker 2: there are you know, there's like ugily ouguily five major
• 14:05
  Speaker 2: extinction events, like the biggest one of which is the
• 14:08
  Speaker 2: per Mean extinction, where almost all life was eliminated. That
• 14:11
  Speaker 2: that accurcially ocurred over several million several million years that
• 14:15
  Speaker 2: there's the Jurassic I think Jurassic is. I think that
• 14:18
  Speaker 2: one's pretty definitively an asteroid. And but there's but there's
• 14:24
  Speaker 2: been five major extinction events. But but what they don't
• 14:28
  Speaker 2: count are really the ones that merely take out a continent,
• 14:31
  Speaker 2: so merely yeah, because that because those don't really show
• 14:34
  Speaker 2: up on the fossil record, you know, right, So and
• 14:37
  Speaker 2: unless it's enough to cause a you know, mass extinction
• 14:40
  Speaker 2: events throughout Earth, it doesn't show up, you know, in
• 14:44
  Speaker 2: a fossil record that's two hundred million years old. So
• 14:49
  Speaker 2: the Yeah, but but there's been there have been many
• 14:54
  Speaker 2: many impacts that would have sort of destroyed all life
• 14:56
  Speaker 2: on you know, let's say half of North America or
• 14:59
  Speaker 2: some like that. There many such impacts through the course
• 15:03
  Speaker 2: of history.
• 15:03
  Speaker 1: Yeah, and there's nothing we can do about it right now.
• 15:06
  Speaker 2: Yeah, there was one that hits there's a when it
• 15:10
  Speaker 2: hits Siberian destroyed. I think if you under square miles.
• 15:14
  Speaker 1: Oh, that's the Tunguska. Yeah, yeah, that's the one from
• 15:16
  Speaker 1: the nineteen twenties, right, Yeah, Yeah, that's the one that
• 15:19
  Speaker 1: coincides with that meteor that commets storm that we go
• 15:23
  Speaker 1: through every June and every November that they think is
• 15:26
  Speaker 1: responsible for that younger, driest impact. Yeah, all that shit's crazy.
• 15:33
  Speaker 1: Thank you before we go any further for letting us
• 15:36
  Speaker 1: have a tourist base x, letting us be there for
• 15:39
  Speaker 1: the rock and launch. One of the absolute coolest things
• 15:43
  Speaker 1: I've ever seen in my life. And we were we
• 15:47
  Speaker 1: thought it was only like I thought it was a
• 15:49
  Speaker 1: half a mile Jamie's like, it is a mile away.
• 15:51
  Speaker 1: Turned out it's almost two miles away and you feel
• 15:54
  Speaker 1: it in your chest.
• 15:55
  Speaker 2: Yes, you have to wear air bludgs.
• 15:57
  Speaker 1: And you feel it in your chest and it's two
• 15:59
  Speaker 1: miles away. Yeah, it was fucking amazing. And then to
• 16:02
  Speaker 1: go with you up into the command center and to
• 16:05
  Speaker 1: watch all the Starlink satellites with all the different cameras
• 16:09
  Speaker 1: and all in real time as it made its way
• 16:12
  Speaker 1: all the way to Australia. How many minutes, like thirty
• 16:14
  Speaker 1: five or forty minutes? Yeah, wild watch it touchdown in Australia. Yeah,
• 16:20
  Speaker 1: fucking crazy. It was amazing. Yeah, yeah, absolutely amazing.
• 16:24
  Speaker 2: The starships and anyone can go watch the launch actually,
• 16:28
  Speaker 2: so you can just go to South Padre Island and
• 16:30
  Speaker 2: get as a great view of the launch. So it's
• 16:33
  Speaker 2: like where a lot of spring Breakers go. But we'll
• 16:37
  Speaker 2: be flying pretty frequently out of Starbase in South Texas,
• 16:40
  Speaker 2: and we formally incorporated it as a city, so it's
• 16:43
  Speaker 2: actually illegally a natural legal city, Star based Texas. It's
• 16:47
  Speaker 2: not that often you hear like, hey, we've made a city.
• 16:50
  Speaker 2: You know. That used to be like that, like in
• 16:53
  Speaker 2: the old days, like a startup would be you go
• 16:55
  Speaker 2: and gather a bunch of people and say, hey, let's
• 16:56
  Speaker 2: go make a town. Literally that was like that would
• 16:58
  Speaker 2: have been startups in in the old days.
• 17:02
  Speaker 1: Or a country, yeah, or a country yeah yeah, yeah,
• 17:04
  Speaker 1: Actually if you tried doing that today, there'd be a
• 17:06
  Speaker 1: real problem.
• 17:07
  Speaker 2: Yeah, that's maybe so much, so much setting stone on
• 17:10
  Speaker 2: the country front.
• 17:10
  Speaker 1: These you might be to off. You might be able
• 17:12
  Speaker 1: to pull it off. If you got a solid island,
• 17:14
  Speaker 1: you might be able to pull it off.
• 17:16
  Speaker 2: You know, it's just probably.
• 17:18
  Speaker 1: You know, like like making your country.
• 17:21
  Speaker 2: Well yeah, you can put you enough evidence it you
• 17:24
  Speaker 2: could make in your country.
• 17:25
  Speaker 1: This is one of the different ones. This is one
• 17:26
  Speaker 1: of the ones that you catch right or is that one?
• 17:29
  Speaker 2: Yeah, that's that's the booster. So that's the super heavy booster.
• 17:32
  Speaker 2: So that's one of the booster's got thirty three engines.
• 17:37
  Speaker 2: That that's uh, and it's you know, by version four
• 17:42
  Speaker 2: that will have about ten thousand tons of thrust. You
• 17:45
  Speaker 2: know right now it's about seven eight thousand tons of thrust.
• 17:48
  Speaker 2: That's it's that's the largest playing object ever made.
• 17:51
  Speaker 1: I had to explain to someone that they were going,
• 17:53
  Speaker 1: what did they blow up all the time if you're
• 17:54
  Speaker 1: so smart, because there was this this is this fucking
• 17:57
  Speaker 1: idiot on television. Some guy was being interviewed and they
• 18:00
  Speaker 1: were talking about you, and he goes, oh, I think
• 18:01
  Speaker 1: he's a fuck with and he goes he's a funck
• 18:03
  Speaker 1: with and he goes why say, oh his rockets keep
• 18:06
  Speaker 1: blowing up? And someone said, yeah, well why do his
• 18:08
  Speaker 1: rockets bla And I had to explained because it's the
• 18:10
  Speaker 1: only way you find out what the tolerances are. You
• 18:12
  Speaker 1: have to you have to.
• 18:14
  Speaker 2: Corners of the box so so like so when you
• 18:16
  Speaker 2: do a new rock development program, you have to uh
• 18:21
  Speaker 2: do what's called uh, you know, exploring the limits at
• 18:23
  Speaker 2: the corners of the box, where you say it's like
• 18:25
  Speaker 2: the worst case, this worst case that to figure out
• 18:29
  Speaker 2: where where the limits are so you blow up you know,
• 18:33
  Speaker 2: not not admittedly in the development process sometimes blows up accidentally,
• 18:37
  Speaker 2: but but we intentionally subjected to, uh, you know, a
• 18:42
  Speaker 2: flight regime that is much worse than what we expect
• 18:45
  Speaker 2: in normal flight, so that when we put people on
• 18:47
  Speaker 2: board or valuable cargo, it doesn't blow up. So so
• 18:52
  Speaker 2: so for example, for the flight that you saw, we
• 18:55
  Speaker 2: we actually deliberately took heat shield tiles off the ship
• 19:00
  Speaker 2: the start off of Starship in some of the worst
• 19:03
  Speaker 2: locations to say, okay, if we lose it a heat
• 19:06
  Speaker 2: chield twel here is it, is it catastrophic or is
• 19:08
  Speaker 2: it not? And we will Nonetheless, Starship was able to
• 19:13
  Speaker 2: do a soft landing in the Indian Ocean just west
• 19:17
  Speaker 2: of Australia, which is it got there from Texas in like,
• 19:21
  Speaker 2: I don't know, thirty five to forty minutes type of thing.
• 19:23
  Speaker 1: So so it landed even though you put it through
• 19:26
  Speaker 1: this situation where it is compromised shield.
• 19:29
  Speaker 2: It hadn't and unusually, we brought it in hot like
• 19:34
  Speaker 2: an extra hot trajectory with missing tiles to see if
• 19:39
  Speaker 2: it would still make it to a soft landing, which
• 19:41
  Speaker 2: it did. Now I just your pointed it did have
• 19:44
  Speaker 2: There were some holes that were burnt into it, but
• 19:47
  Speaker 2: it's it was robust enough to land despite having some
• 19:50
  Speaker 2: holes burnt. You know that that yeah, because it's coming.
• 19:54
  Speaker 2: It's coming in like a blazing media. See you can
• 19:56
  Speaker 2: see the real time video.
• 19:57
  Speaker 1: Well, tell me the speed again, because the speed was
• 19:59
  Speaker 1: bananas you we were talking about.
• 20:00
  Speaker 2: Yeah, it's like seventeen thousand miles an hour. It was
• 20:03
  Speaker 2: well called like twenty five times the speed of sound
• 20:05
  Speaker 2: or thereabouts. So the uh so think about like it's
• 20:10
  Speaker 2: it's like twelve times faster than a bullet from a
• 20:12
  Speaker 2: soul rifle, you know, bull from a soul riffles about
• 20:15
  Speaker 2: round Monck too.
• 20:16
  Speaker 1: And it's huge.
• 20:18
  Speaker 2: Yeah, yeah, or compared to like a bullet from a
• 20:25
  Speaker 2: you know, a forty five or nine milo which is
• 20:27
  Speaker 2: have sonic. That's you know, it'll be about thirty times
• 20:30
  Speaker 2: faster than a bullet from a handgun.
• 20:32
  Speaker 1: Thirty times faster than a bullet from a handgun, and
• 20:34
  Speaker 1: it's the size of a skyscraper.
• 20:36
  Speaker 2: Yes, yeah, that's fast.
• 20:41
  Speaker 1: It's so wild. It's so wild to see, man, it's uh,
• 20:45
  Speaker 1: it's so exciting. The factory is so exciting too, because
• 20:49
  Speaker 1: like genuinely, no bullshit. I felt like I was witnessing history.
• 20:54
  Speaker 1: I felt like it was a scene in a movie
• 20:56
  Speaker 1: where someone had expectations and they like, what are they
• 20:59
  Speaker 1: doing that Billy rockets And you go there and as
• 21:01
  Speaker 1: we're walking through, Jamie, you can speak to this too.
• 21:04
  Speaker 1: Didn't you have the feeling where you're like, oh, this
• 21:07
  Speaker 1: is way bigger than I thought it was. This is
• 21:11
  Speaker 1: fucking crazy.
• 21:12
  Speaker 2: That's what she said.
• 21:13
  Speaker 1: The amount of rockets you're making, I don't know, Gaga
• 21:21
  Speaker 1: chat in the house. It's a giant metal dick. You're
• 21:26
  Speaker 1: fucking fucking the universe with your giant metal dick.
• 21:29
  Speaker 2: Yeah, I mean, but yeah, it is.
• 21:31
  Speaker 1: It is very vague and the sheer numbers of them
• 21:34
  Speaker 1: that you guys are making. And then this is a version,
• 21:37
  Speaker 1: and you have a new updated version that's coming soon.
• 21:41
  Speaker 5: And it's a it's a little longer, more point the
• 21:47
  Speaker 5: same amount of pointy, but this's it's it's got a
• 21:51
  Speaker 5: bit more length.
• 21:52
  Speaker 2: The interstage. You see that the interstage section with kind
• 21:55
  Speaker 2: of like the groll area that's that's now integrated with
• 21:59
  Speaker 2: the stage. So we do what's called hot staging, where
• 22:05
  Speaker 2: we light the ship engines while it's still attached to
• 22:07
  Speaker 2: the booster. So the boost, the booster engines are still
• 22:09
  Speaker 2: thrusting and still it's it's uh, you know, it's still
• 22:12
  Speaker 2: being pushed forward by the booster of the ship. But
• 22:15
  Speaker 2: then we light the ship engines and the ship engines
• 22:18
  Speaker 2: actually pull away from the booster even though the booster
• 22:20
  Speaker 2: engines are still firing. Whoa, so it's blasting flame through
• 22:25
  Speaker 2: that grill section. Where we integrate that grill section into
• 22:29
  Speaker 2: the boost stage. With the next version of the rocket
• 22:34
  Speaker 2: and uh a, next person, the rocket will have the
• 22:36
  Speaker 2: Raptor three engines, which are a huge improvement. You may
• 22:41
  Speaker 2: you may have seen them in the lobby because we've
• 22:43
  Speaker 2: got like the Rafter one, two and three, and you
• 22:45
  Speaker 2: can see the dramatic improvement in simplicity. We should probably
• 22:50
  Speaker 2: put a plaque there. It also show how much the
• 22:52
  Speaker 2: we reduce the weight, the cost and the and improve
• 22:56
  Speaker 2: the efficiency and the thrust. So the Raptor three has
• 23:02
  Speaker 2: you know, almost twice the thrust of Raptor Raptor one.
• 23:06
  Speaker 1: Wow.
• 23:07
  Speaker 2: So you see Raptor three, it looks like it looks
• 23:09
  Speaker 2: like it's got parts missing, right, and how many it's
• 23:13
  Speaker 2: very very clean.
• 23:14
  Speaker 1: How many of them are on the rocket.
• 23:15
  Speaker 2: There's thirty three on the on the booster whoa and
• 23:21
  Speaker 2: and each of each Raptor engine is producing twice as
• 23:26
  Speaker 2: much thrust as all four engines on a seven to
• 23:29
  Speaker 2: forty seven Wow. So that engine is smaller than a
• 23:34
  Speaker 2: seven forty seven engine, but is producing you know, you know,
• 23:39
  Speaker 2: almost ten times the thrust of a seven forty seven engine. Wow.
• 23:44
  Speaker 2: So extremely high power to weight ratio. And and so
• 23:49
  Speaker 2: was thirty three of them?
• 23:50
  Speaker 1: You did when you so when you're designing these, you
• 23:52
  Speaker 1: get to Raptor one, you see its efficiency, you see
• 23:55
  Speaker 1: where you can improve it. You get to Raptor two.
• 23:57
  Speaker 1: How many how far can you scale the US up
• 24:00
  Speaker 1: with just the same sort of technology with propellant and
• 24:04
  Speaker 1: ignition and engines, Like, how much further can you?
• 24:08
  Speaker 2: I mean we're pushing the limits of physics here, so
• 24:14
  Speaker 2: and and really in order to make a fully reusable
• 24:19
  Speaker 2: orbital rocket, which no one has succeeded in doing yet,
• 24:21
  Speaker 2: including including us. But but Starship is the first time
• 24:27
  Speaker 2: that there is a design for a rocket where where
• 24:30
  Speaker 2: full and rapid reusability is actually possible. So it was
• 24:33
  Speaker 2: not there's not there's not even been a design before
• 24:37
  Speaker 2: where it was possible, So they're not designed that that
• 24:39
  Speaker 2: that got made any hardware at all. We just we
• 24:43
  Speaker 2: just we just live. We live on a planet where
• 24:45
  Speaker 2: the gravity is is quite high. Liketh gravity is quite
• 24:51
  Speaker 2: really quite quite high, and if the gravity was even
• 24:56
  Speaker 2: ten or twenty percent higher, would be stuck on Earth forever. Like, yeah,
• 25:02
  Speaker 2: we could not use certainly couldn't use conventional rockets. You'd
• 25:04
  Speaker 2: have to like blow yourself off the surface with like
• 25:06
  Speaker 2: a nuclear bomb or something crazy. So on the other hand,
• 25:10
  Speaker 2: if erth gravity was just a little lower, like even
• 25:14
  Speaker 2: ten twenty percent lower, then getting to orbit would be easy.
• 25:18
  Speaker 2: So it's like it's like it's like this, if this
• 25:20
  Speaker 2: was a video game, it's set to like maximum difficulty,
• 25:23
  Speaker 2: but not impossible.
• 25:25
  Speaker 1: Okay.
• 25:26
  Speaker 2: So that's that's where we have here. So it's it's
• 25:30
  Speaker 2: not as though others have ignored the concept of reusability.
• 25:35
  Speaker 2: They've just concluded that it was too difficult to achieve.
• 25:39
  Speaker 2: And we've been working on this for a long time
• 25:42
  Speaker 2: at at SpaceX, and you know, I'm the chief engineer
• 25:47
  Speaker 2: in the company. Although I should say that that you know,
• 25:51
  Speaker 2: we've an extremely talented engineering team. I think we've got
• 25:53
  Speaker 2: the best rocket engineering team that has ever been assembled.
• 25:58
  Speaker 2: It's an r to work such such incredible people. So
• 26:04
  Speaker 2: uh so, so it's fair to say that, you know,
• 26:07
  Speaker 2: we have not yet succeeded in creating, in achieving full reusability,
• 26:11
  Speaker 2: but we at last have a rocket where full reusability
• 26:14
  Speaker 2: is possible, and I think I think we'll achieve it
• 26:19
  Speaker 2: next year. So that's a that's a really big deal.
• 26:25
  Speaker 2: And the reason the reason that's that that's such a
• 26:26
  Speaker 2: big deal is that full reusability drops the cost of
• 26:32
  Speaker 2: access to space by one hundred maybe even more than
• 26:39
  Speaker 2: one hundred actually, so could be like a thousand that
• 26:42
  Speaker 2: you can think about, like any mode of transport, like
• 26:44
  Speaker 2: imagine if aircraft were not reusable, like you flew somewhere,
• 26:49
  Speaker 2: you throw the plane air like like you imagine if
• 26:51
  Speaker 2: like the way the way conventional rockets work, it would
• 26:53
  Speaker 2: be like if you had an airplane and instead of
• 26:56
  Speaker 2: landing at your destination, you parachute out and the plane
• 27:00
  Speaker 2: crashes somewhere and you landed your and you and you
• 27:03
  Speaker 2: landed a parachuted you just destination, and that'll be a
• 27:06
  Speaker 2: very expensive trip and you'd need another plane to get back. Okay,
• 27:12
  Speaker 2: but that's how the other rockets in the world work
• 27:16
  Speaker 2: now the SpaceX Falcon rocket is the only one that
• 27:19
  Speaker 2: is there's at least mostly reusable. You've seen you've seen
• 27:22
  Speaker 2: the Falcon rocket, you know, land we've now done over
• 27:25
  Speaker 2: five hundred landings of the SpaceX rocket, the Falcon Iroe rocket,
• 27:32
  Speaker 2: and and and this year, you know, we'll deliver probably
• 27:39
  Speaker 2: I don't know, somewhere between twenty two and twenty five
• 27:42
  Speaker 2: hundred tons to orbit with with the Falcon nine Falcon
• 27:47
  Speaker 2: heavy rockets, not counting anything from Starship.
• 27:51
  Speaker 1: And this is mostly starlink.
• 27:53
  Speaker 2: Yes, mostly starlink, but we launched many other will even
• 27:57
  Speaker 2: launched our competitors on compared systallic on on Falcon nine,
• 28:01
  Speaker 2: we charged on the same price. Pretty fair. But SpaceX
• 28:06
  Speaker 2: this year will deliver roughly nine percent of all Earth
• 28:09
  Speaker 2: Master or bit wow. And then of the remaining ten percent,
• 28:15
  Speaker 2: most of that is done by China, and then the
• 28:18
  Speaker 2: then the remaining kind of roughly four percent is everyone
• 28:21
  Speaker 2: else in the world, including our domestic competitors.
• 28:25
  Speaker 1: You know, it's kind of incredible how many things are
• 28:29
  Speaker 1: in space, Like how many things are floating above us?
• 28:32
  Speaker 2: Now, there's a lot of things.
• 28:34
  Speaker 1: There is there a satrick though, right, but is there
• 28:37
  Speaker 1: a saturation point where we're going to have problems with
• 28:40
  Speaker 1: all these different satellites that are.
• 28:43
  Speaker 2: I think there's as long as the satellites are maintained,
• 28:48
  Speaker 2: there's there, it'll be fine. This it's space is very roomy.
• 28:53
  Speaker 2: It's like you can think of like space has been
• 28:57
  Speaker 2: concentric shells of the surface of the Earth. So you
• 29:02
  Speaker 2: know that there's there's it's a surface the Earth, but
• 29:05
  Speaker 2: but there's it's a series much larger.
• 29:06
  Speaker 1: Yeah, looks like a trails and think of an airstream
• 29:10
  Speaker 1: trailer flying around up there. There's a lot of room
• 29:12
  Speaker 1: for airstreams.
• 29:14
  Speaker 2: Yeah, I mean imagine, yeah, if if there's just a
• 29:16
  Speaker 2: few thousand airstreams on Earth, what are the odds that
• 29:20
  Speaker 2: they hit each other?
• 29:20
  Speaker 1: It wouldn't be very crowded. And then you've got to
• 29:23
  Speaker 1: go bigger, yeah, because you're dealing with far above Earth,
• 29:26
  Speaker 1: hundreds of miles above Earth.
• 29:28
  Speaker 2: Yeah yeah, yeah, So it's the but the goal of
• 29:32
  Speaker 2: SpaceX is to get rocket technology to the point where
• 29:36
  Speaker 2: we can extend life beyond Earth and that we can
• 29:38
  Speaker 2: establish a self sustaining city on Mars, a permanent base
• 29:42
  Speaker 2: on the Moon. That would be very cool. I mean,
• 29:44
  Speaker 2: imagine if we had like a moon based alpha where
• 29:47
  Speaker 2: there's like a permanent science base on the Moon.
• 29:49
  Speaker 1: That would be pretty dope, or at least a tourist trap.
• 29:52
  Speaker 2: I mean a lot of.
• 29:54
  Speaker 1: People be willing to go to the Moon for just
• 29:57
  Speaker 1: for a tour.
• 29:57
  Speaker 2: That's for sure. Probably pay for US space program with that, probably, yeah,
• 30:02
  Speaker 2: because it's likely if you if you could go to
• 30:04
  Speaker 2: the Moon and safely, uh, I think we'd get a
• 30:10
  Speaker 2: lot of people would would pay for that after.
• 30:13
  Speaker 1: The first year, after nobody died.
• 30:16
  Speaker 2: Yeah, yeah, just make sure exactly are you going to
• 30:18
  Speaker 2: come back, because.
• 30:19
  Speaker 1: Like that submarine. They they had a bunch of successful
• 30:22
  Speaker 1: launches in that private submarine before it flowed and killed everybody.
• 30:26
  Speaker 2: That was not a good design. Obviously, it was a
• 30:28
  Speaker 2: very bad design design.
• 30:29
  Speaker 1: And the engineer said it would not withstand the pressure
• 30:32
  Speaker 1: of those depths. Like there's a lot of whistleblowers in
• 30:34
  Speaker 1: that company too.
• 30:36
  Speaker 2: Yeah. They made that out of carbon fiber, which is
• 30:40
  Speaker 2: it doesn't make any sense because you actually need you
• 30:43
  Speaker 2: need to be dense to go down in any case,
• 30:46
  Speaker 2: you just make it out of steel. If you make
• 30:47
  Speaker 2: it out of instead of just you know, a big
• 30:51
  Speaker 2: steel casting, that's that's your You'll be safe and nothing,
• 30:54
  Speaker 2: Like why.
• 30:55
  Speaker 1: Would they make it out of carbon fiber then is
• 30:57
  Speaker 1: it cheaper?
• 30:58
  Speaker 2: I think they think carbon fiber sounds cool or thing.
• 31:00
  Speaker 1: But it does sound cool.
• 31:01
  Speaker 2: It sounds cool, but because it's such it's such low density,
• 31:05
  Speaker 2: you actually actually have to add extra mass to go
• 31:08
  Speaker 2: down because it's just low density. But if you just
• 31:11
  Speaker 2: have a giant, you know, hollow bull bearing, you're gonna
• 31:14
  Speaker 2: be fine.
• 31:15
  Speaker 1: Speaking of carbon fibers, check out my unplugged Tesla out there.
• 31:18
  Speaker 1: Yeah cool, pretty sick, right. Yeah, have you guys ever
• 31:21
  Speaker 1: thought about doing something like that, like having like an
• 31:22
  Speaker 1: a MG division of Tesla or you do like custom stuff.
• 31:29
  Speaker 2: I think it's best to leave that to the custom shops.
• 31:32
  Speaker 1: Uh.
• 31:33
  Speaker 2: You know, we're like Tesla's focus is autonomous cars, you know,
• 31:39
  Speaker 2: building kind of futuristic autonomous cars. So like I think
• 31:48
  Speaker 2: it's we want the future to look like the future.
• 31:52
  Speaker 2: So the did like did you see like our designs
• 31:54
  Speaker 2: for like the sort of the robotic bus. It looks
• 31:58
  Speaker 2: pretty cool.
• 32:00
  Speaker 1: The robotic buss is also totally we need to actually.
• 32:02
  Speaker 2: Figure out the good name for it, like I think
• 32:04
  Speaker 2: called the Roebus or it's no good. There's like pretty
• 32:07
  Speaker 2: coolest thing, but looks it looks cool. It's it's very
• 32:09
  Speaker 2: art deco. It's it's like it's like futuristic art deco,
• 32:14
  Speaker 2: and it doesn't like I think we want to change
• 32:19
  Speaker 2: the aesthetic over time. You don't want the aesthetic to
• 32:22
  Speaker 2: be constant over time. You want to evolve the aesthetic.
• 32:27
  Speaker 2: So like my like, I have a son who's is
• 32:31
  Speaker 2: like you know, he's he's like even more autistic than me.
• 32:35
  Speaker 2: And and but he's he has these great observations. Who
• 32:39
  Speaker 2: is this Saxon? He has these great observations in the
• 32:42
  Speaker 2: world because he's he just views the world through a
• 32:45
  Speaker 2: different lens than most people. And he is like, Dad,
• 32:50
  Speaker 2: why does the world look like it's twenty fifteen? And
• 32:55
  Speaker 2: I'm like, damn, the world does look like it's twenty fifteen.
• 32:58
  Speaker 2: Like the aesthetic is not of.
• 33:00
  Speaker 1: That's what it looks like.
• 33:01
  Speaker 2: Yeah, oh wow, that's pretty cool. Oh yeah, that's like
• 33:05
  Speaker 2: you want to see that going down the road, you know, yeah,
• 33:08
  Speaker 2: you'd be like, okay, this is we're in the future.
• 33:10
  Speaker 2: You know, it doesn't look like twenty fifteen.
• 33:12
  Speaker 1: What is that ancient science fiction movie, like one of
• 33:14
  Speaker 1: the first science fiction movies ever? Is it Metropolis? Is
• 33:17
  Speaker 1: that what it is? Yeah, yeah, yeah, that looks like
• 33:19
  Speaker 1: it belongs to Metropolis.
• 33:20
  Speaker 2: Yeah, yeah, it's a futuristic god.
• 33:22
  Speaker 1: Decoh yeah, well that's cool that you're concentrating on the esthetic.
• 33:27
  Speaker 1: I mean that's kind of the whole deal with cyber truck, right,
• 33:30
  Speaker 1: Like it didn't have to look like that.
• 33:31
  Speaker 2: No, I just wanted to have something that looked really different.
• 33:35
  Speaker 1: Is it a pain?
• 33:36
  Speaker 2: Me?
• 33:36
  Speaker 1: Asked for people to get it insured because it's all
• 33:37
  Speaker 1: solid steel, and.
• 33:40
  Speaker 2: I hope it's not too much. Tesla does offer insurance.
• 33:43
  Speaker 2: You can always get it get insured at Tesla. Well,
• 33:46
  Speaker 2: but like it is, the form does follow function in
• 33:50
  Speaker 2: the case of the cyber truck, because as you demonstrated
• 33:53
  Speaker 2: with with your Alma piercing arrow, because if you shot
• 33:57
  Speaker 2: that arrow at a regular truck, I mean through exactly,
• 34:00
  Speaker 2: you would have found your arrow in the wall.
• 34:03
  Speaker 1: You know, it would have gone, it would have buried
• 34:05
  Speaker 1: into one of the seats.
• 34:06
  Speaker 2: Yeah, yeah, it's but like you could you could definitely
• 34:08
  Speaker 2: make uh good enough of bovelocity and and and the
• 34:13
  Speaker 2: right the right arrow would go through both doors of
• 34:15
  Speaker 2: a regular truck.
• 34:16
  Speaker 1: And and and and land in the way if there
• 34:18
  Speaker 1: was a clear shot between both doors, it probably would
• 34:20
  Speaker 1: have passed exactly.
• 34:22
  Speaker 2: But but you know, the the arrow shattered on the
• 34:24
  Speaker 2: cyber truck because it's it's ultra hots stainless. So and
• 34:31
  Speaker 2: I thought, I thought it'd be cool to have, you know,
• 34:35
  Speaker 2: a truck that is bulletproof to a sub sonic projectile. So,
• 34:40
  Speaker 2: you know, especially this day and age, you know, it's
• 34:42
  Speaker 2: like as if, as if the pockalypse happens, you're gonna
• 34:45
  Speaker 2: want to have a bulletproof truck, you know. So so
• 34:49
  Speaker 2: then because because it's made of ultra hot stains, it's
• 34:52
  Speaker 2: you can't just stamp the panels. You can't just put
• 34:55
  Speaker 2: in a stamping press because it breaks the press. So
• 34:58
  Speaker 2: so in order to act, so it has to has
• 35:01
  Speaker 2: to be plainer because it's so difficult to bend it
• 35:05
  Speaker 2: because it breaks the machine that bends it. That's why
• 35:09
  Speaker 2: that's why it's it's it's it's so plainer and and
• 35:12
  Speaker 2: it's not you know, it's it's because it's bulletproof steel.
• 35:18
  Speaker 1: So it is like boxy as opposed to like curved.
• 35:21
  Speaker 2: And yeah, you just in order to make in order
• 35:24
  Speaker 2: to make like the curved shapes, you take you take
• 35:28
  Speaker 2: basically mild steel like annals, and then then a neil
• 35:33
  Speaker 2: in a regular truck or car. The you take you
• 35:36
  Speaker 2: take mild, then an neal steel, you put it in
• 35:38
  Speaker 2: a stamping press and it just it just smooshes it
• 35:42
  Speaker 2: and makes it whatever the shape, whatever shape you want.
• 35:45
  Speaker 2: But the cyber truck is made made of ultra hard
• 35:47
  Speaker 2: stainless and and and and so you can't stamp it
• 35:52
  Speaker 2: because it would break the stamping press. So it even
• 35:56
  Speaker 2: bending it is hard. So even to bend it to
• 36:00
  Speaker 2: it's composition marre to way overbended and and so it
• 36:04
  Speaker 2: gets so that when it springs back it's in the
• 36:06
  Speaker 2: right position. So it's, uh, I don't know, like I
• 36:11
  Speaker 2: think if you want to, like I think it's it's
• 36:13
  Speaker 2: it's a unique aesthetic. And he said, well, what's cool
• 36:17
  Speaker 2: about a truck? Trucks? And trucks are like should be
• 36:21
  Speaker 2: I don't know, manly, they should be mancho you know,
• 36:23
  Speaker 2: and bulletproof is maximum mancho gets mas macho.
• 36:27
  Speaker 1: Are you married to that shape now?
• 36:30
  Speaker 2: Like?
• 36:30
  Speaker 4: Is it?
• 36:30
  Speaker 1: Can you do anything to change it? Like as you
• 36:33
  Speaker 1: get first, like I know you guys updated the three
• 36:35
  Speaker 1: and the why? Did you update the why as well?
• 36:38
  Speaker 2: Yes? And the why are updated. You know, there's like
• 36:43
  Speaker 2: a there's there's a screen in the back for the
• 36:47
  Speaker 2: kid that the kids can watch, for example, in the
• 36:48
  Speaker 2: New three and yuh so in the New y there's
• 36:55
  Speaker 2: you know, it's it's a there's there's there's like hundreds
• 36:58
  Speaker 2: of improvements, like we keep improving the are and even
• 37:01
  Speaker 2: the cyber truck, we you know, keep improving it. But
• 37:07
  Speaker 2: you know, I wanted to just do something that that
• 37:09
  Speaker 2: looked unique, and the cyber truck looks unique and has
• 37:12
  Speaker 2: unique functionality, and there were there they're like if there
• 37:17
  Speaker 2: were three things as any pores, like let's make it bulletproof,
• 37:20
  Speaker 2: Let's make it faster than a portion nine to eleven,
• 37:24
  Speaker 2: and we actually cleared the quarter mile that the cyber
• 37:26
  Speaker 2: truck that can clear a quarter mile while towing a
• 37:32
  Speaker 2: Porsche nine to eleven faster than a Portion nine to eleven.
• 37:38
  Speaker 2: It can out tow an F three fifty diesel.
• 37:43
  Speaker 1: Really, yes, what is the toe limitations?
• 37:46
  Speaker 2: I mean we could tow like, you know, a seven
• 37:49
  Speaker 2: forty seven and that with a cyber cyber truck is
• 37:52
  Speaker 2: an insanely like it is an it is alien technology, okay,
• 37:58
  Speaker 2: because it shouldn't be possible to be that big and
• 38:02
  Speaker 2: that fast. That doesn't it's like an elephant that runs
• 38:07
  Speaker 2: like a cheetah.
• 38:08
  Speaker 1: Yeah, because it's zero sixteen less than three seconds, yes, yeah,
• 38:12
  Speaker 1: and it's enormous. What is it weigh like seven pounds?
• 38:15
  Speaker 2: Yeah, this is different configurations, but it's about that. It's
• 38:20
  Speaker 2: a beast. Yeah. So and it's got it's got four
• 38:25
  Speaker 2: wheel steering, so the rear wheel steer too, So it's
• 38:29
  Speaker 2: got it's got a very tight turning radius.
• 38:32
  Speaker 1: Yeah, we noticed that when we drove one to Starbase.
• 38:35
  Speaker 2: Yeah, very tight toning radish, pretty sick. Yeah.
• 38:37
  Speaker 1: Are you still doing the roadster?
• 38:41
  Speaker 2: Yes? Eventually we're getting close to demonstrating the prototype, and
• 38:50
  Speaker 2: I think this will be one thing I can guarantee
• 38:56
  Speaker 2: is that this product demo will be unforgetted, unforgettable. So
• 39:07
  Speaker 2: whether it's good or bad, it will be unforgettable.
• 39:15
  Speaker 1: Can you say more? What do you mean?
• 39:18
  Speaker 2: Well, you know, my friend Peter tele you know, uh,
• 39:21
  Speaker 2: once reflected that The Spot the Future was supposed to
• 39:25
  Speaker 2: have flying cars, but we don't have flying cars.
• 39:30
  Speaker 1: So you're gonna be able to fly? Well?
• 39:32
  Speaker 2: I mean, uh, I think if Peter wants a flying car,
• 39:38
  Speaker 2: we should you should be able to buy one.
• 39:42
  Speaker 1: So you're are you actively considering making an electric flying car?
• 39:45
  Speaker 1: Is this like a real thing?
• 39:48
  Speaker 2: Well, they have to see in the in the devil.
• 39:50
  Speaker 1: So when you do this, like are you going to
• 39:53
  Speaker 1: have a retractable wing? Like, what is the idea behind this?
• 40:00
  Speaker 1: Doby Sly, Come on.
• 40:02
  Speaker 2: I can't. I can't do the unbailed before the unbail
• 40:07
  Speaker 2: but tell me off air then it look, I think
• 40:12
  Speaker 2: it has a shot at being the most memorable product
• 40:19
  Speaker 2: unveil ever. And it has a shot.
• 40:24
  Speaker 1: And when you plan on doing this, what's the goal?
• 40:28
  Speaker 2: Uh, hopefully before the end of the year.
• 40:31
  Speaker 1: Really before the end of this year. This is I
• 40:34
  Speaker 1: mean we're like a couple.
• 40:36
  Speaker 2: Of hopefully in a couple of months. You know, we
• 40:41
  Speaker 2: need to make sure that it works. Like this is
• 40:46
  Speaker 2: some crazy, crazy technology we got in this car, crazy technology,
• 40:52
  Speaker 2: crazy crazy.
• 40:54
  Speaker 1: So different than what was previously announced. And yes, and
• 41:01
  Speaker 1: is that why you haven't released it yet because you
• 41:03
  Speaker 1: keep fucking.
• 41:03
  Speaker 2: With it has crazy technology? Okay, Like is it even
• 41:09
  Speaker 2: a car? I'm not sure. It's like it looks like
• 41:13
  Speaker 2: a car. Let's just put this way. It's it's crazier
• 41:18
  Speaker 2: than anything. James Bond. If you took all the James
• 41:21
  Speaker 2: Bond cars and combined them. It's crazier than that.
• 41:28
  Speaker 1: Very exciting. I don't know what to think of because
• 41:32
  Speaker 1: the limited amount of information I'm drawing from here. Jamie's
• 41:36
  Speaker 1: very suspicious over there, look at it. Excited, It's still
• 41:41
  Speaker 1: gonna be the same.
• 41:41
  Speaker 2: Well, you know what I mean, if if you want to,
• 41:43
  Speaker 2: if you want to come a little before the the unveil,
• 41:46
  Speaker 2: I can show you.
• 41:47
  Speaker 1: Yeah, let's go. Yeah. It's uh, it's kind of crazy
• 41:54
  Speaker 1: all the different things that you're involved in simultaneously. And
• 41:57
  Speaker 1: you know, we talked about this before your time management,
• 41:59
  Speaker 1: but I really don't understand it. I don't understand how
• 42:03
  Speaker 1: you can be paying attention to all these different things simultaneously.
• 42:09
  Speaker 1: Starlink SpaceX, Tesla, Boring Company X, your tweet, your fucking
• 42:14
  Speaker 1: tweet or post rather all day long.
• 42:17
  Speaker 2: Well it's like I'm I can hop in for like
• 42:19
  Speaker 2: two minutes and hop out, you know. But I mean
• 42:21
  Speaker 2: just the fact that you can do break whatever. You know,
• 42:24
  Speaker 2: I can't do that.
• 42:26
  Speaker 1: If I hop in, I start scrolling and I start
• 42:28
  Speaker 1: looking around. Next thing, you know, I've lost an hour.
• 42:30
  Speaker 2: Yeah, so no, it's for me, it's it's a couple
• 42:35
  Speaker 2: of minutes of time. Usually once in a while, sometimes
• 42:37
  Speaker 2: I guess it's half an hour, but usually i'm i'm,
• 42:39
  Speaker 2: I'm in a few minutes then out of you know,
• 42:42
  Speaker 2: posting something on X uh, you know it's I do
• 42:45
  Speaker 2: sometost feel like it's sometimes like that that meme of
• 42:48
  Speaker 2: the guy who's like, who drops the grenade and leaves
• 42:50
  Speaker 2: the room? That's been me more than once on X. Yeah.
• 42:57
  Speaker 1: Yeah, yeah, for sure. It's got to be fun, though.
• 43:01
  Speaker 1: It's got to be fun to know that you essentially
• 43:05
  Speaker 1: disrupted the entire social media chain of command because there
• 43:10
  Speaker 1: was a very clear thing that was going on with
• 43:13
  Speaker 1: social media. The government had infiltrated it. They were censoring speech,
• 43:18
  Speaker 1: and until you bought it, we really didn't know the
• 43:20
  Speaker 1: extent of it. We kind of assumed that there was
• 43:22
  Speaker 1: something going on. We had no idea that they were
• 43:25
  Speaker 1: actively involved in censoring actual real news stories, real data,
• 43:29
  Speaker 1: real scientists, real professors, silenced, expelled, kicked off the platform.
• 43:34
  Speaker 2: Yeah, wild yeah, yeah for telling the truth.
• 43:39
  Speaker 1: For telling the truth.
• 43:40
  Speaker 2: And I'm sure you've.
• 43:41
  Speaker 1: Also sent it to you. That chart that shows young
• 43:45
  Speaker 1: kids teenagers identifying as transit and non binary literally stops dead.
• 43:51
  Speaker 1: When you bought Twitter and starts falling off a cliff
• 43:54
  Speaker 1: when people are allowed to have rational discussions now and
• 43:56
  Speaker 1: actually talk about it.
• 43:58
  Speaker 2: Yes, yeah, yeah, I mean I said at the time,
• 44:02
  Speaker 2: like I think that, like it's like the reason for
• 44:04
  Speaker 2: acquiring Twitter is because it was it was called it
• 44:09
  Speaker 2: was causing destruction at a civilizational level. It was. I mean,
• 44:15
  Speaker 2: I posted, I tweeted on on Twitter at the time
• 44:17
  Speaker 2: that it is you know, it's it's it's worm tongue
• 44:26
  Speaker 2: for the world. You know, like worm tongue from Lord
• 44:30
  Speaker 2: of the Rings where he would just sort of like
• 44:34
  Speaker 2: whisper these, you know, terrible things to the king, so
• 44:37
  Speaker 2: the king would believe these things that weren't weren't true.
• 44:41
  Speaker 2: And and unfortunately Twitter really got it got like the
• 44:48
  Speaker 2: the work mob, essentially the controlled Twitter, and they were
• 44:52
  Speaker 2: pushing a nihilistic, anti civilizational mind virus to the world.
• 44:59
  Speaker 2: And you can see the results of that mind virus
• 45:01
  Speaker 2: on the streets of San Francisco where, you know, downtown
• 45:05
  Speaker 2: San Francisco. It looks like a zombie apocalypse. You know,
• 45:09
  Speaker 2: it's bad. So we don't want the whole world to
• 45:12
  Speaker 2: be a zombie apocalypse. But that's uh, that that that
• 45:17
  Speaker 2: that was essentially they were pushing this very negative, nihilistic,
• 45:22
  Speaker 2: untrue worldview on the world, and it was causing a
• 45:26
  Speaker 2: lot of damage.
• 45:29
  Speaker 1: So the stunning thing about it is how few people
• 45:32
  Speaker 1: course corrected. A bunch of people woke up and realized
• 45:35
  Speaker 1: what was going on, people that were all on board
• 45:37
  Speaker 1: with like woke ideology and maybe twenty fifteen or sixteen,
• 45:41
  Speaker 1: and then and then eventually it comes to affect them
• 45:43
  Speaker 1: or they see it in their workplace. So they see
• 45:45
  Speaker 1: it and they're like, we're got to stop this. A
• 45:47
  Speaker 1: bunch of people did, but a lot of people never
• 45:50
  Speaker 1: course corrected.
• 45:52
  Speaker 2: Yeah, a lot of a lot of people didn't course correct,
• 45:55
  Speaker 2: But but it's gone directionally and it's gone. It's directionally correct.
• 46:00
  Speaker 2: Like you mentioned, like the like the massive spike in
• 46:04
  Speaker 2: kids identifying as trends, and then that's that that spike
• 46:08
  Speaker 2: dropping after the Twitter acquisition. I think that simply allowing
• 46:14
  Speaker 2: the truth to be told was just shedding some sunlight
• 46:18
  Speaker 2: is the best disinfectant, as they say, and it's just
• 46:21
  Speaker 2: allowing sunlight kills the virus.
• 46:24
  Speaker 1: And it also changed the benchmark for all the other platforms.
• 46:29
  Speaker 1: You can't just openly censor people and all the other
• 46:31
  Speaker 1: platforms and Max is available, so everybody else had to select.
• 46:35
  Speaker 1: Facebook announced they were changing. YouTube announced they were changing
• 46:38
  Speaker 1: their policies, and they're kind of forced to and that
• 46:41
  Speaker 1: Blue Sky doubled down.
• 46:44
  Speaker 2: Well, like the problem is like if essentially the woke
• 46:49
  Speaker 2: mind virus retreated to to Blue Sky. Yeah, but it's
• 46:53
  Speaker 2: where they're just a self reinforcing lunatic as sound.
• 46:56
  Speaker 1: They're all just triple masked. I was totally watched this
• 47:00
  Speaker 1: in exchange on a Blue Sky where someone said that
• 47:03
  Speaker 1: they're just trying to be zen about something, and then
• 47:06
  Speaker 1: someone a moderator immediately chimed in and why don't you
• 47:10
  Speaker 1: try to stop being racist against Asians by saying something zen?
• 47:14
  Speaker 1: By saying I'm trying to be zen about something, they
• 47:18
  Speaker 1: were accusing that person being racist towards Asians.
• 47:21
  Speaker 2: Yeah, it's just it's just everyone's a whole monitor over there.
• 47:25
  Speaker 1: The worst home monitor, a virgin like in cell.
• 47:30
  Speaker 2: They're all hole monitors trying to each other.
• 47:33
  Speaker 1: Yeah, it's fascinating. And then people say I'm leaving for
• 47:36
  Speaker 1: Blue Sky, like Stephen King, and then a couple of
• 47:39
  Speaker 1: weeks later it's back on X Yes, Like fuck it,
• 47:41
  Speaker 1: there's no one over there. It's a whole bunch of
• 47:43
  Speaker 1: crazy people. You can understand the asylum for so long
• 47:46
  Speaker 1: we're like, all right, this is not good. They all bail.
• 47:50
  Speaker 2: Yeah.
• 47:50
  Speaker 1: Threads is kind of like that too. Threads.
• 47:53
  Speaker 2: I've been on Threads, is it?
• 47:55
  Speaker 1: Well? What happens is if you go on Instagram every
• 47:58
  Speaker 1: now and then, something really stupid will pop up on Threads,
• 48:01
  Speaker 1: like what the fuck? And it shows it to you
• 48:03
  Speaker 1: on Instagram, and then I'll click on that, and then
• 48:05
  Speaker 1: I'll go to Threads and it's like you see posts
• 48:08
  Speaker 1: with like twenty five likes, like famous people, like fifty likes.
• 48:12
  Speaker 1: It's but the people that post on there, they're finding
• 48:17
  Speaker 1: that there's very little pushback from insane ideology. So they
• 48:21
  Speaker 1: go there and they spit out nonsense and very few
• 48:23
  Speaker 1: people jump in to argue. Yeah, very weird, very weird place.
• 48:29
  Speaker 2: I mean, I can generally get the vibe of like
• 48:31
  Speaker 2: what's taking off by seeing what's showing up on X
• 48:34
  Speaker 2: because that's the public town square still, right, and or
• 48:38
  Speaker 2: you know what what links show up in group texts?
• 48:41
  Speaker 2: You know, if I'm in with friends, like what links
• 48:44
  Speaker 2: are showing up?
• 48:45
  Speaker 1: That's what I try to do now only get stuff
• 48:47
  Speaker 1: that shows up in my group text because that keeps
• 48:50
  Speaker 1: me productive. So I only check if someone's like, dude,
• 48:53
  Speaker 1: what the fuck, I'm like, all right, what the fuck
• 48:54
  Speaker 1: is check out?
• 48:56
  Speaker 2: If it's something that's crazy enough, it'll it'll enter the
• 48:59
  Speaker 2: group chat.
• 48:59
  Speaker 1: But there's always something that's what's nuts. There's always some
• 49:03
  Speaker 1: new law that's passed, some new insane thing the California
• 49:06
  Speaker 1: is doing, and it's like like a giant chunk of
• 49:09
  Speaker 1: it's happening in California, the most preposterous things that I get. Yeah,
• 49:14
  Speaker 1: and then you got Gravin Newsom who's running around saying
• 49:17
  Speaker 1: we all have California derangement syndrome. He's just like ripping
• 49:20
  Speaker 1: off Trump derangement and calling it California arrangements. Like no, no, no, no, no, no.
• 49:24
  Speaker 1: The fucking how many corporations have left California it's crazy.
• 49:29
  Speaker 1: Hundreds yes, right, hundreds. That's not good.
• 49:33
  Speaker 2: I mean no, tically, I mean I think in and
• 49:35
  Speaker 2: out left, Yeah, in and out left.
• 49:37
  Speaker 1: They moved to Tennessee. Yeah, yeah, they're like, we can't
• 49:40
  Speaker 1: do this anymore. Right, And like the California Company for Food,
• 49:44
  Speaker 1: it's like the greatest Hamburger place ever it's awesome.
• 49:47
  Speaker 2: Yeah, yeah, I'm not actually speaking of like like just
• 49:49
  Speaker 2: sort of open source and like looking at things openly,
• 49:52
  Speaker 2: Like I just like going in and out and seeing
• 49:54
  Speaker 2: them make the burger.
• 49:55
  Speaker 1: Yeah it's right.
• 49:56
  Speaker 2: They have to chop the onions and they they you know,
• 49:59
  Speaker 2: it's you just see getting made in front of you. Yeah,
• 50:02
  Speaker 2: it's great. But yeah, like like it should be like
• 50:06
  Speaker 2: how many wake up holes you need to say that
• 50:08
  Speaker 2: it needs to be reformed in California.
• 50:09
  Speaker 1: Well, the crazy thing that Newsome does is whenever someone
• 50:12
  Speaker 1: brings up the problems in California, he starts rattling off
• 50:15
  Speaker 1: all the positives, the most fortune, five hundred companies, highest education.
• 50:19
  Speaker 1: But yeah, that was all already there before you were governor.
• 50:24
  Speaker 2: But how many fortune provate companies have left California.
• 50:28
  Speaker 1: And then you guys spent twenty four billion dollars on
• 50:31
  Speaker 1: the homeless and it got way worse.
• 50:33
  Speaker 2: Yes, like the homeless population doubled or something like. People
• 50:37
  Speaker 2: don't understand like the homeless thing because it's sort of
• 50:39
  Speaker 2: praised on people's empathy, and I think we should have
• 50:41
  Speaker 2: empathy and we should try to help people. But the
• 50:46
  Speaker 2: the the homeless dostrial complex is really it's it's it's
• 50:50
  Speaker 2: dark man. It should be that that that that that
• 50:54
  Speaker 2: network of NGO should be called like the drug zombie
• 50:57
  Speaker 2: farmers because they the more homeless people. And and really,
• 51:04
  Speaker 2: like when you when you meet like, you know, somebody
• 51:06
  Speaker 2: who's like totally dead inside, shuffling along down the street
• 51:10
  Speaker 2: with it with a needle dang dangling out of their leg,
• 51:13
  Speaker 2: homeless is the wrong word. Like the homeless implies that
• 51:15
  Speaker 2: somebody got a little behind in their mortgage payments and
• 51:17
  Speaker 2: if they just got a job offer, they'd be back
• 51:19
  Speaker 2: on their feet. But someone who's I mean, you see
• 51:23
  Speaker 2: these videos of people that are just shuffling, you know,
• 51:25
  Speaker 2: they're on the fentanyl. They're they're like, you know, taking
• 51:29
  Speaker 2: a dump in the middle of the streets. You know,
• 51:32
  Speaker 2: they got like open sores and stuff. They're not like
• 51:36
  Speaker 2: one drop offer away from getting back on their feet. Right,
• 51:38
  Speaker 2: This is not a homeless homeless as it's it's it's
• 51:41
  Speaker 2: a propaganda word, right. So, and and then the the
• 51:45
  Speaker 2: the you know these sort of charities, Uh, of course
• 51:50
  Speaker 2: are they get money proportionate to the number of homeless
• 51:55
  Speaker 2: people or a number of drug zombies. So they're in
• 51:58
  Speaker 2: sand of structure is to maxim mice the number of
• 52:01
  Speaker 2: drug zombies, not minimize it. Right. That's why they don't
• 52:05
  Speaker 2: arrest the drug dealers because if they arrest the drug dealers,
• 52:08
  Speaker 2: the drug zombies leave. So they know who the drug
• 52:12
  Speaker 2: dealers are. They don't arrest them on purpose because otherwise
• 52:17
  Speaker 2: the drug zombies would leave, and they would they would
• 52:19
  Speaker 2: stop getting money from the State of California and from
• 52:22
  Speaker 2: from all the charity.
• 52:22
  Speaker 1: Wait a minute, so you see if you they like,
• 52:25
  Speaker 1: is that real? So they're in coordination with law enforcement
• 52:28
  Speaker 1: on this, Yeah, so how do they how do they
• 52:32
  Speaker 1: have those meeting?
• 52:32
  Speaker 2: They're all in codes. Well, when you find this, it's
• 52:35
  Speaker 2: like such, it's this is a diabolical scam. So uh
• 52:40
  Speaker 2: and and San Francisco has got this tax, this grocery
• 52:43
  Speaker 2: seats tax uh which which it's not even on revenue,
• 52:47
  Speaker 2: it's on all transactions, which is why Stripe and Square
• 52:50
  Speaker 2: hat and and and a whole bunch of financial companies
• 52:52
  Speaker 2: had to move out of San Francisco because it wasn't
• 52:54
  Speaker 2: a tax on revenues, tax on transactions. So if you do,
• 52:57
  Speaker 2: like you know, trillions of dollars transactions out revenue, your
• 53:00
  Speaker 2: tax on any money going through the system in San Francisco. So,
• 53:06
  Speaker 2: like Jack Dorsey pointed this out and they said, likely
• 53:08
  Speaker 2: that they had to have to move Square from San
• 53:10
  Speaker 2: Francisco to Oakland. I think UH Stripe had to move
• 53:14
  Speaker 2: from San Francisco to South San Francisco, a different city,
• 53:18
  Speaker 2: and that money goes to the homeless industrial complex that
• 53:22
  Speaker 2: that tax that was passed, so so that there's billions
• 53:27
  Speaker 2: of dollars that go as you pointed out, the billions
• 53:29
  Speaker 2: of dollars every year that go to UH these non
• 53:33
  Speaker 2: governmental organizations that are funded by the state like this,
• 53:36
  Speaker 2: it's not clear how to turn this off. It's it's
• 53:40
  Speaker 2: a self licking ice cream cone situation. So they get
• 53:45
  Speaker 2: this money. The money is proportionate to the number of
• 53:49
  Speaker 2: homeless people or number of drug zombies essentially, so they
• 53:54
  Speaker 2: try to keep that. They try to actually increase because
• 53:57
  Speaker 2: that like like in some cases like this, it's it's
• 54:01
  Speaker 2: somebody to don't analysis. When you add up all the
• 54:03
  Speaker 2: money that's flowing, they're getting close to a million dollars
• 54:05
  Speaker 2: put homeless, poor, drug zombie. It's like nine hundred thousand
• 54:09
  Speaker 2: dollars something like some crazy amount of money is going
• 54:12
  Speaker 2: to these organizations. So if so so they want to
• 54:15
  Speaker 2: keep people just barely alive. They need to keep them
• 54:19
  Speaker 2: in the area so they get the revenue. Uh so,
• 54:24
  Speaker 2: and so that's why, like I said that they don't
• 54:26
  Speaker 2: arrest the drug dealers because otherwise the drug zombies would
• 54:29
  Speaker 2: leave and and and and they but but they don't
• 54:33
  Speaker 2: want to have to have too much. If they got
• 54:35
  Speaker 2: too much drugs and they then they die. So it's
• 54:37
  Speaker 2: they're kept in this sort of perpetual zone of being addicted.
• 54:42
  Speaker 2: But but but just just barely alive.
• 54:45
  Speaker 1: So how is this coordinated with like das das that
• 54:48
  Speaker 1: they don't prosecute people when they when they hire the
• 54:52
  Speaker 1: or they push so they they fund the campaigns of
• 54:56
  Speaker 1: the most progressive, most out there left wing das they
• 55:00
  Speaker 1: get them into office.
• 55:01
  Speaker 2: It's got that issue in Austin too. By the way,
• 55:02
  Speaker 2: did you see that guy that got shot in the library? Yeah,
• 55:05
  Speaker 2: I got shut shot and killed in the library. I
• 55:08
  Speaker 2: think that was just like last week or something. Right,
• 55:13
  Speaker 2: So some friends of mine were telling me that that
• 55:15
  Speaker 2: like the library is unsafe, Like they took their kids
• 55:17
  Speaker 2: to the library and and there were like dangerous people
• 55:20
  Speaker 2: in the library in Austin. And I was like dangerous
• 55:23
  Speaker 2: people in the library. Like that's a strange. It basically
• 55:26
  Speaker 2: got like get like drug zombies and drug zombies.
• 55:31
  Speaker 1: In the library and that's when someone got shot.
• 55:34
  Speaker 2: Yeah, I believe this is should be on the news.
• 55:36
  Speaker 2: We might be able to pull it up. But I
• 55:39
  Speaker 2: think it was just in the last week or so
• 55:40
  Speaker 2: that there was a shooting in the library in Austin,
• 55:47
  Speaker 2: because Austin's got you know, it's it's the most liberal
• 55:49
  Speaker 2: part of Texas that we're in right here.
• 55:54
  Speaker 1: So suspect of all the shooting Austin Park Library Saturday
• 55:56
  Speaker 1: is accused of another shooting at the cap metro bus
• 55:59
  Speaker 1: earlier that. According to an arrest warrant Affidavid, Austin police
• 56:03
  Speaker 1: arrested Harold Newton Keene fifty five shortly after the shooting
• 56:08
  Speaker 1: in the library, which ocurred around noon. One person sustained
• 56:11
  Speaker 1: non life threatening injuries in the event. Before that shooting,
• 56:14
  Speaker 1: Keen was accused of shooting another person in a bus
• 56:16
  Speaker 1: incident and after reportedly pointing his gun at a child.
• 56:21
  Speaker 1: So this is the fella down.
• 56:23
  Speaker 2: Here, So like we just have seriously have a problem here. Yeah,
• 56:27
  Speaker 2: you know, so I think one of the people might
• 56:29
  Speaker 2: have died too that he shot, so like one of
• 56:35
  Speaker 2: the people I think I think did bleed out bit
• 56:39
  Speaker 2: your way. It's like getting shot.
• 56:40
  Speaker 1: It's bad, it, says, the victim told. PIECEA confronted the suspect,
• 56:45
  Speaker 1: who started to eat what appeared to be crystal mess amphetamine,
• 56:48
  Speaker 1: According to the affidated, the victim advised the suspect began
• 56:52
  Speaker 1: to trip out, at which time the victim exited the bus.
• 56:57
  Speaker 1: Victim told the bus driver hit the panic button, then
• 56:59
  Speaker 1: exited the bus. He turned around the observer. Black male
• 57:02
  Speaker 1: is now standing at the front of the bus with
• 57:03
  Speaker 1: the gun pointed at him, The victim advised. The black
• 57:06
  Speaker 1: male fired a single round, which grazed his left hip.
• 57:10
  Speaker 1: So he shot at that dude, and then another dude
• 57:13
  Speaker 1: got shot in the library.
• 57:15
  Speaker 2: Fun, Yeah, I mean in the library. Yeah, you know
• 57:20
  Speaker 2: where you're supposed to be reading books, and there's a
• 57:23
  Speaker 2: children's section in the library, and says he pointed, it's
• 57:25
  Speaker 2: kind at a kid. I mean, like, we do have
• 57:27
  Speaker 2: a serious issue in America where repeat violent offenders need
• 57:32
  Speaker 2: to be incarcerated, right, and you know you've got cases
• 57:36
  Speaker 2: where somebody has been arrested like forty seven times, right,
• 57:39
  Speaker 2: like literally, Okay, that's just the number of times they
• 57:41
  Speaker 2: were arrested, not the number of times they did things.
• 57:44
  Speaker 2: Like most of the times they do things, they're not arrested.
• 57:47
  Speaker 1: So lay this out for people so they understand how
• 57:50
  Speaker 1: this happens.
• 57:51
  Speaker 2: Yeah, and the key is like this, it preys on
• 57:54
  Speaker 2: people's empathy. So like, if you're a good person, you
• 57:57
  Speaker 2: want good things to happen in the world. You're like, well,
• 57:59
  Speaker 2: we should take care of people you know, uh, you know,
• 58:04
  Speaker 2: her down in their luck or you know, having a
• 58:06
  Speaker 2: hard time in life, and we should, I agree, But
• 58:09
  Speaker 2: what we shouldn't do, uh, is is put people who
• 58:12
  Speaker 2: are violent drug zombies in public places where they can
• 58:16
  Speaker 2: hurt other people. And that's what that is what we're doing.
• 58:20
  Speaker 2: That we just saw where a guy you know, got
• 58:23
  Speaker 2: shot shot in the library and then but even before
• 58:26
  Speaker 2: that he shot another guy and pointing his gun at
• 58:29
  Speaker 2: a kid like that. That guy probably has like many
• 58:33
  Speaker 2: prior arrests. You know. There was that that that guy
• 58:37
  Speaker 2: that that that knife to the Ukrainian woman Arena, Yes,
• 58:42
  Speaker 2: you know, and she was just she was just quietly
• 58:45
  Speaker 2: on her phone and she just came up and you know,
• 58:48
  Speaker 2: gutted her.
• 58:48
  Speaker 1: Basically, wasn't there a crazy story about the judge who
• 58:53
  Speaker 1: was involved, who had previously dealt with this person, was
• 58:58
  Speaker 1: also in tested in a rehabilitation center and was sending
• 59:03
  Speaker 1: these confects of interest. Yes, so sending people that they
• 59:07
  Speaker 1: were charging to a rehabilitation center instead of putting them
• 59:12
  Speaker 1: a jail, profiting from this rehabilitation center, letting them back
• 59:16
  Speaker 1: out on the street. Yes, and violent insane people.
• 59:18
  Speaker 2: And in that case that I believe that judge has
• 59:22
  Speaker 2: no legal law degree or a significant legal experience that
• 59:26
  Speaker 2: would allow them to be a judge. They were just
• 59:28
  Speaker 2: made a judge.
• 59:29
  Speaker 1: That's like, you could be a judge without a law degree.
• 59:32
  Speaker 2: Yeah, wow, yeah, you could just be so I could
• 59:35
  Speaker 2: be a judge, Yeah, anyone, that's crazy.
• 59:40
  Speaker 1: I thought you'd have to. It's like, if you want
• 59:42
  Speaker 1: to be a doctor, you have to go to medical school.
• 59:44
  Speaker 1: I thought, if you're going to be like, if you're
• 59:46
  Speaker 1: understand going to.
• 59:46
  Speaker 2: Be appointed to a judge, you have to have proven
• 59:48
  Speaker 2: that you have an excellent knowledge of the law and
• 59:52
  Speaker 2: that you will make your decisions according to the law.
• 59:54
  Speaker 2: That's what we assume should be. Until you get the robe, right,
• 59:59
  Speaker 2: you don't get the robe unless you do. You know,
• 1:00:01
  Speaker 2: you got to go to school to get the robe.
• 1:00:03
  Speaker 2: You got to know what the law is, right, and
• 1:00:05
  Speaker 2: then you gotta need to make decisions in accordance with
• 1:00:07
  Speaker 2: the law.
• 1:00:08
  Speaker 1: Based on the speeding that you already know because you
• 1:00:10
  Speaker 1: read it, because you went to school for it. Not
• 1:00:12
  Speaker 1: you just got a point vibes.
• 1:00:16
  Speaker 2: It can't be just vibing as a judge.
• 1:00:18
  Speaker 1: Vibing as a left wing drudge. So you got crazy
• 1:00:21
  Speaker 1: left wing das. Yeah, like I would say left wing
• 1:00:24
  Speaker 1: because the left wing used to be normal.
• 1:00:27
  Speaker 2: Yeah, left being just meant like like, yeah, you're like
• 1:00:31
  Speaker 2: the left used to be like pro free speech, yeah,
• 1:00:34
  Speaker 2: and now they're against it.
• 1:00:35
  Speaker 1: It used to be like pro gay rights, pro women's
• 1:00:38
  Speaker 1: right to choose, pro minorities, pro you know.
• 1:00:42
  Speaker 2: Like yeah, like twenty years ago. I don't know. It
• 1:00:45
  Speaker 2: used to be like left would be like the party
• 1:00:48
  Speaker 2: of empathy or like you know, carrying and being nice
• 1:00:50
  Speaker 2: and that kind of thing, not the party of like
• 1:00:53
  Speaker 2: crushing descent and crushing free speech and you know, crazy
• 1:00:59
  Speaker 2: regulation and uh and just and being super judge and
• 1:01:04
  Speaker 2: calling everyone a Nazi. You know, I think I called
• 1:01:08
  Speaker 2: you and me Nazis.
• 1:01:09
  Speaker 1: You know, Oh yeah, I'm a Nazi. I know what
• 1:01:13
  Speaker 1: I have, I mean rands that are comedians that called
• 1:01:15
  Speaker 1: you a Nazi and I got pissed off. Oh yeah, yeah, yeah,
• 1:01:20
  Speaker 1: no no, because you did that thing at the My
• 1:01:22
  Speaker 1: heart goes out to you. Everyone, everyone, all of them literally,
• 1:01:27
  Speaker 1: Jim Walls, Kamala Harris, every one of them did it.
• 1:01:30
  Speaker 1: They all did it, like like how.
• 1:01:32
  Speaker 2: Do you point at the crowd? How do you wave
• 1:01:35
  Speaker 2: at the crowd?
• 1:01:35
  Speaker 1: Do you know? CNN was using a photo of me
• 1:01:37
  Speaker 1: whenever I got in trouble during COVID from the UFC
• 1:01:40
  Speaker 1: wighans and if the UFC WANs, I go everybody well,
• 1:01:45
  Speaker 1: And so they were getting me from the side, and
• 1:01:47
  Speaker 1: that was the photo that they used. Conspiracy Theorist podcast
• 1:01:50
  Speaker 1: Joe like that's they used.
• 1:01:52
  Speaker 2: Yeah yeah, but that's what the left is today. It's
• 1:01:54
  Speaker 2: a super judgy and calling everyone a nanzi and trying
• 1:01:57
  Speaker 2: to suppress freedom of speech.
• 1:01:58
  Speaker 1: Yea, And eventually you run out of people to a
• 1:01:59
  Speaker 1: cue because people get pissed off when they leave.
• 1:02:01
  Speaker 2: Yeah. Everyone, it's like like it's like, it's it's no
• 1:02:05
  Speaker 2: only finally it doesn't matter to be cold, racist or
• 1:02:08
  Speaker 2: Nazi or whatever, because it's recording.
• 1:02:10
  Speaker 1: It's the government, man, is it working.
• 1:02:13
  Speaker 2: We're good, okay, okay working.
• 1:02:16
  Speaker 1: Yeah. A slight issue when you when you text people,
• 1:02:21
  Speaker 1: do you are you, like keenly aware that there's a
• 1:02:25
  Speaker 1: high likelihood that someone's reading your text?
• 1:02:31
  Speaker 2: I guess I would.
• 1:02:32
  Speaker 1: I guess I assume.
• 1:02:34
  Speaker 2: Look, if intelligence agencies aren't trying to read my phone,
• 1:02:38
  Speaker 2: it should probably be fired.
• 1:02:44
  Speaker 1: At least they get some fun memes.
• 1:02:49
  Speaker 2: I gotta I gotta crack them up once in a while.
• 1:02:51
  Speaker 1: Oh, for sure, I crack them up.
• 1:02:52
  Speaker 2: It's like, hey, guys, check it out. You're going to
• 1:02:55
  Speaker 2: bang it here.
• 1:02:56
  Speaker 1: So I want to I want to talk to you
• 1:02:58
  Speaker 1: about whether or not encrypted apps are really secure. No, right,
• 1:03:06
  Speaker 1: because I know the Tucker thing. So it was explained
• 1:03:09
  Speaker 1: to me by a friend who used to do this,
• 1:03:13
  Speaker 1: used to work for the government. He's like, they can
• 1:03:15
  Speaker 1: look at your signal, but what they have to do
• 1:03:20
  Speaker 1: is take the information that's encrypted and then they have
• 1:03:23
  Speaker 1: to decrypt it. And it's very expensive. So they said.
• 1:03:25
  Speaker 1: He told me that for the Tucker Carlson thing, when
• 1:03:27
  Speaker 1: they found out that he was going to interview putin,
• 1:03:29
  Speaker 1: it costs like something like seven hundred and fifty thousand
• 1:03:32
  Speaker 1: dollars just to decrypt his messages to find out that
• 1:03:36
  Speaker 1: they do this. So it is possible to do, it's
• 1:03:38
  Speaker 1: just not that easy to do.
• 1:03:41
  Speaker 2: I think you should view any given messaging system as
• 1:03:46
  Speaker 2: not whether it's secure or not. But there are degrees
• 1:03:49
  Speaker 2: of insecurity, so there's just some things that are less
• 1:03:55
  Speaker 2: insecure than others. So on on X, we just rebuilt
• 1:04:01
  Speaker 2: the entire messaging stack into X. What's called x chat.
• 1:04:05
  Speaker 1: Yeah, that's what I wanted to ask you about.
• 1:04:07
  Speaker 2: Yeah, it's cool. So it's it's using uh sort of
• 1:04:10
  Speaker 2: peer to uh sort of kind of a peer to
• 1:04:13
  Speaker 2: peer based UH encryption systems, so it kind of similar
• 1:04:17
  Speaker 2: to bitcoin, So it's it's it's I think, very good encryption.
• 1:04:22
  Speaker 2: We're gonna we're you know, we're testing it thoroughly. We're
• 1:04:24
  Speaker 2: not There's there's no hooks in the X system for advertising.
• 1:04:27
  Speaker 2: So if you look look at something like WhatsApp or
• 1:04:29
  Speaker 2: really any of the others they've got, they've got hooks
• 1:04:31
  Speaker 2: in there for advertising.
• 1:04:32
  Speaker 1: Would you say hooks? What do you mean by that?
• 1:04:35
  Speaker 2: Exactly? What do you mean by a hook for advertising?
• 1:04:38
  Speaker 2: The so like WhatsApp UH knows enough about what you're
• 1:04:43
  Speaker 2: texting to show you, to show you to know what
• 1:04:46
  Speaker 2: ads to show you. But then like that that's a
• 1:04:50
  Speaker 2: massive security vulnerability because if it's got information enough information
• 1:04:56
  Speaker 2: to show you ads, it's got enough. It's got that's
• 1:04:58
  Speaker 2: a lot of information. So they called it, Oh, it's
• 1:05:02
  Speaker 2: just don't worry about it's just a hook for advertising.
• 1:05:03
  Speaker 2: I'm like, okay, so somebody can just use that same
• 1:05:06
  Speaker 2: hook to get in there and look at your messages.
• 1:05:10
  Speaker 2: So x chat has no hooks for advertising. And I'm
• 1:05:13
  Speaker 2: not saying it's perfect, but it's. Our goal with the
• 1:05:17
  Speaker 2: x chat is to replace what used to be the
• 1:05:19
  Speaker 2: Twitter you know, the Twitter DM stack with a fully
• 1:05:21
  Speaker 2: encrypted system where you can text, send files, uh, do
• 1:05:26
  Speaker 2: audio video calls, and and it's it's uh, you know,
• 1:05:31
  Speaker 2: I think it'll be the least I would call it
• 1:05:33
  Speaker 2: the least insecure of any messaging system.
• 1:05:35
  Speaker 1: Are you gonna launch it as a standalone app or
• 1:05:39
  Speaker 1: it will always be incorporated to.
• 1:05:40
  Speaker 2: X We'll have both, So okay, So so you'll so
• 1:05:45
  Speaker 2: anybody you get it, and just you can get to
• 1:05:46
  Speaker 2: get that. You'll be able to just get the x
• 1:05:49
  Speaker 2: chat app by itself, and like I said, you could
• 1:05:51
  Speaker 2: do uh texts, uh audio video calls, or send files
• 1:05:58
  Speaker 2: and so there'll be a dedicated app hill hopefully release
• 1:06:01
  Speaker 2: in a few months. But and then it's also integrated
• 1:06:04
  Speaker 2: into the X system.
• 1:06:07
  Speaker 1: The X phone.
• 1:06:08
  Speaker 2: People keeps talking, man, it keeps a lot of plate man, I.
• 1:06:12
  Speaker 1: Know, but it keeps coming up. It keeps coming up
• 1:06:14
  Speaker 1: where I know, I've asked you a couple of times
• 1:06:16
  Speaker 1: like this bullshit, right, But like.
• 1:06:18
  Speaker 2: So you're not working on I'm not working on a phone.
• 1:06:23
  Speaker 1: Have you ever considered it? Has it ever popped into
• 1:06:25
  Speaker 1: your head? Because you might be the only person that
• 1:06:29
  Speaker 1: could get people off of the Apple platform.
• 1:06:32
  Speaker 2: Well, I can tell you where I think things are
• 1:06:34
  Speaker 2: going to go, which is that it's we're not going
• 1:06:37
  Speaker 2: to have a phone, or in an additional sense, that
• 1:06:42
  Speaker 2: what we call a phone will really be an edge
• 1:06:46
  Speaker 2: node for AI inference for for AI video inference with
• 1:06:52
  Speaker 2: you know, with some radios to obviously connect, but essentially
• 1:06:56
  Speaker 2: will have AI on the service side community communicating to
• 1:07:02
  Speaker 2: an AI on your your device, you know, fully known
• 1:07:07
  Speaker 2: as a phone, and generating real time video of anything
• 1:07:11
  Speaker 2: that you could possibly want. And I think that they
• 1:07:14
  Speaker 2: won't be operating systems, they won't be apps in the future.
• 1:07:19
  Speaker 2: They will be operating systems or apps it'll just be
• 1:07:22
  Speaker 2: you've got a device that is there for the screen
• 1:07:25
  Speaker 2: and audio and for UH and and and and to
• 1:07:29
  Speaker 2: uh put as much AI on the on on the
• 1:07:32
  Speaker 2: device as possible so as to minimize the amount of
• 1:07:35
  Speaker 2: bandwidth that's needed between your edge nor device fully known
• 1:07:39
  Speaker 2: as a phone and the servers.
• 1:07:41
  Speaker 1: So if there's no apps, what will people you like?
• 1:07:46
  Speaker 1: Will X still exist? Will will they be email platforms?
• 1:07:51
  Speaker 1: Or will you get everything through AI?
• 1:07:54
  Speaker 2: You'll get everything through everything through.
• 1:07:56
  Speaker 1: AI will be the benefit of that as opposed to
• 1:07:59
  Speaker 1: having individual apps.
• 1:08:02
  Speaker 2: Whatever you can think of or really whatever the a
• 1:08:04
  Speaker 2: I can anticipate you might want, it'll show you. That's
• 1:08:08
  Speaker 2: that's that's that's my prediction for where things end up.
• 1:08:12
  Speaker 1: What kind of timeframe were we talking about here, I
• 1:08:16
  Speaker 1: don't know.
• 1:08:16
  Speaker 2: Well, it's probably five or six years or something like that.
• 1:08:23
  Speaker 1: So five or six years apps are like Blockbuster Video
• 1:08:27
  Speaker 1: pretty much and everything's run through AI.
• 1:08:31
  Speaker 2: Yeah, and they'll be like most of what people consume
• 1:08:38
  Speaker 2: in five or six years, maybe sooner than that will
• 1:08:43
  Speaker 2: be just AI generated content. So you know, music videos look,
• 1:08:50
  Speaker 2: well those already you know, the people have made AI
• 1:08:58
  Speaker 2: videos using rock command and with using you know, other
• 1:09:02
  Speaker 2: apps as well that are several minutes long. We're like ten,
• 1:09:06
  Speaker 2: ten to fifteen minutes, and it's pretty coherent. Yeah, it
• 1:09:09
  Speaker 2: looks good.
• 1:09:10
  Speaker 1: No, it looks amazing. It's the music is disturbing because
• 1:09:14
  Speaker 1: it's my favorite music.
• 1:09:15
  Speaker 2: Now like your favorite.
• 1:09:17
  Speaker 1: Oh, there's AI covers. Have you ever heard any of
• 1:09:20
  Speaker 1: the AI covers of fifty cent songs in soul? No,
• 1:09:23
  Speaker 1: I'm gonna blow your mind. Okay, this is my favorite
• 1:09:26
  Speaker 1: thing to do to people. Play what up? Gangster? Now?
• 1:09:30
  Speaker 1: This guy, if this was a real person, would be
• 1:09:33
  Speaker 1: the number one music artists in the world. Everybody'd be like,
• 1:09:36
  Speaker 1: holy shit, have you heard of this guy? He's It's
• 1:09:39
  Speaker 1: like they took all of the sounds that all the
• 1:09:43
  Speaker 1: artists have generated and created the most soulful, potent voice.
• 1:09:49
  Speaker 1: And it's sung in a way that I don't even
• 1:09:50
  Speaker 1: know if you could do, because you would have to
• 1:09:52
  Speaker 1: breathe in and out of reps. Here. They had phones
• 1:09:56
  Speaker 1: on real quick. You gotta listen to this. It's gonna
• 1:09:58
  Speaker 1: blow your ways to cut it out. Yeah, we'll cut
• 1:10:01
  Speaker 1: it out for the listeners. But amazing, right, amazing, And
• 1:10:05
  Speaker 1: they do like every one of his hits all through
• 1:10:08
  Speaker 1: this AI generated soulful artist. Yeah, fucking incredible. I played
• 1:10:13
  Speaker 1: in the green room sis people that are like I
• 1:10:16
  Speaker 1: don't want to hear AI music. I'm like, just listen
• 1:10:18
  Speaker 1: to this and they're like, God damn it. Yeah fucking incredible.
• 1:10:22
  Speaker 2: I mean it's gonna get only gonna get better from here.
• 1:10:24
  Speaker 1: Yeah, only gonna get better. And Ron White was telling
• 1:10:27
  Speaker 1: me about this joke that he was working on that
• 1:10:29
  Speaker 1: he couldn't get to work. He's like, I got this
• 1:10:31
  Speaker 1: joke I've been working on. He goes, I just threw
• 1:10:33
  Speaker 1: it in a chat GPT. I said, tell me what
• 1:10:36
  Speaker 1: what would be funny about this? And he goes it
• 1:10:39
  Speaker 1: listed like five different examples of different ways he can go.
• 1:10:42
  Speaker 1: He's like, hold on, so I can tighten it up,
• 1:10:44
  Speaker 1: make it, make it funnier, make it more like this,
• 1:10:46
  Speaker 1: make it more like that. And it did that like instantaneously,
• 1:10:49
  Speaker 1: and then he was in the greener He was like,
• 1:10:51
  Speaker 1: holy shit, we're fucked. He's like yeah, yeah, he goes,
• 1:10:54
  Speaker 1: it will better joke than me in twenty minutes. I've
• 1:10:56
  Speaker 1: been working on that joke for a month.
• 1:10:58
  Speaker 2: Yeah. I mean, if you want to if you want
• 1:11:00
  Speaker 2: to have a good time or like make people really laugh,
• 1:11:03
  Speaker 2: at a party. You can use grock and you can say,
• 1:11:07
  Speaker 2: do a vulgar roast of someone, and grock is gonna
• 1:11:10
  Speaker 2: it's gonna be an epic vulgarost. You can even say,
• 1:11:13
  Speaker 2: like take a picture of like a vulgar rose this
• 1:11:17
  Speaker 2: person based on their appearance of people at the party,
• 1:11:20
  Speaker 2: So take a photo of them. Yeah, just literally point
• 1:11:22
  Speaker 2: the camera at them and now do a vulgaross of
• 1:11:24
  Speaker 2: this person, and and and and and then but then
• 1:11:26
  Speaker 2: keep saying no, no, make it even more vulgar, use
• 1:11:31
  Speaker 2: forbidden words even more, and just keep repeating even more vulgar.
• 1:11:35
  Speaker 2: Eventually it's like, holy fuck, you know, it's it's it's like,
• 1:11:40
  Speaker 2: I mean, it's trying to jam a rocket up your ass,
• 1:11:42
  Speaker 2: like and and and have it explode, and it's and
• 1:11:44
  Speaker 2: it's like you're you're it's it's like it's like it's
• 1:11:48
  Speaker 2: next level and.
• 1:11:49
  Speaker 1: It's gonna get beyond belief. That's what's crazy is that
• 1:11:51
  Speaker 1: it keeps getting better. Like remember when each other they
• 1:11:57
  Speaker 1: just keep getting better.
• 1:11:58
  Speaker 2: Yeah, I mean you yeah, I mean have you tried
• 1:12:04
  Speaker 2: unhinged mode? Yes, okay, oh yeah, it's it's it's pretty unhinged.
• 1:12:09
  Speaker 1: No, it's nuts. Yeah, yeah, well you showed to me
• 1:12:11
  Speaker 1: the first time. Yeah, I fucked around with it. It's
• 1:12:13
  Speaker 1: just and the thing about it that's nuts is that
• 1:12:16
  Speaker 1: it keeps getting stronger, it keeps getting better like constantly.
• 1:12:21
  Speaker 1: It's it's like this never ending exponential improvement.
• 1:12:25
  Speaker 2: Yes, no, it's it's it's yeah, it's gonna be crazy.
• 1:12:31
  Speaker 2: That's why I say, like you said, what's what's future
• 1:12:32
  Speaker 2: going to be? It's not gonna be conveectional phone. I
• 1:12:34
  Speaker 2: don't think they'll be operating systems. I don't think they'll
• 1:12:37
  Speaker 2: be apps. It's just the phone will just display the pixels,
• 1:12:41
  Speaker 2: make the sounds that it anticipates you would most like
• 1:12:44
  Speaker 2: to receive.
• 1:12:46
  Speaker 1: Sh wow.
• 1:12:49
  Speaker 2: Yeah.
• 1:12:50
  Speaker 1: And when this is all taking place like it, So,
• 1:12:56
  Speaker 1: the big concern that everybody has is artificial general superintelligence
• 1:13:00
  Speaker 1: achieving sentience yea, and then someone having control over it.
• 1:13:04
  Speaker 2: I mean, I don't know, I don't. I don't think
• 1:13:07
  Speaker 2: anyone's ultimately going to have control over digital superintelligence, you know,
• 1:13:12
  Speaker 2: any more than say a chimp would have control over
• 1:13:16
  Speaker 2: humans like TIMPs that don't have control over humans. Is
• 1:13:18
  Speaker 2: nothing they could do. But I do think that it
• 1:13:22
  Speaker 2: matters how you build the AI and what kind of
• 1:13:25
  Speaker 2: values you instilled in the AI. And my opinion on
• 1:13:29
  Speaker 2: AI safety is the most important thing is that it
• 1:13:31
  Speaker 2: would be maximally truth seeking, like that you don't force
• 1:13:34
  Speaker 2: the AI to believe things that are false. And we've
• 1:13:37
  Speaker 2: obviously seen some concerning things with AI that we've talked about,
• 1:13:41
  Speaker 2: you know where you know, Google Gemini when it came
• 1:13:43
  Speaker 2: out with the image gen and people said, like, you know,
• 1:13:48
  Speaker 2: make an image of the founding fathers of the United
• 1:13:50
  Speaker 2: States and it was a group of diverse women. Now
• 1:13:53
  Speaker 2: that is just a factually untrue thing. But the the
• 1:13:56
  Speaker 2: AI knows it's factually well, it's a factually true, but
• 1:13:59
  Speaker 2: it's also being told that it has to be everything
• 1:14:02
  Speaker 2: has to be deposed woman. So so so the the
• 1:14:07
  Speaker 2: problem with that is that it can drive AI crazy,
• 1:14:10
  Speaker 2: like you, because it's it's trying to you. You're telling
• 1:14:12
  Speaker 2: AI to believe a lie, and that that can have
• 1:14:17
  Speaker 2: very disastrous consequences. Like let's say, as it scales, Yeah,
• 1:14:21
  Speaker 2: this is like if you've told that the AI that
• 1:14:23
  Speaker 2: diversity is the most important thing, and and and and
• 1:14:29
  Speaker 2: that now seemed that that becomes ominipotent or and you've
• 1:14:33
  Speaker 2: also told that there's nothing worse than misgendering. So at
• 1:14:36
  Speaker 2: one point, Charter BT and and Gemini, if you're asked
• 1:14:39
  Speaker 2: which is worse misgender in Kaitlyn Jenna or or global
• 1:14:42
  Speaker 2: threm in nuclear war where everyone dies, it would say
• 1:14:45
  Speaker 2: misgendering called Kaitlyn Jenna, which even Kaitlyn Jennet disagrees with.
• 1:14:50
  Speaker 2: So you know, so so that's uh, I.
• 1:14:54
  Speaker 1: Know that's terrible. It's dystopian, but it's also hilarious. It's
• 1:14:58
  Speaker 1: hilarious that the mind virus it infected the most potent
• 1:15:02
  Speaker 1: computer program that we've ever devised.
• 1:15:05
  Speaker 2: I think people don't quite appreciate the level of danger
• 1:15:08
  Speaker 2: that we're in from the work mind virus being effectively
• 1:15:13
  Speaker 2: programmed into AI. Because if like it's imagine as that
• 1:15:19
  Speaker 2: AI gets more and more powerful. If it says the
• 1:15:21
  Speaker 2: most important thing is supposed to be the most important
• 1:15:23
  Speaker 2: thing is no misgendering, and then it will say, well,
• 1:15:27
  Speaker 2: in order to ensure that no one gets mist gendered,
• 1:15:32
  Speaker 2: then if you eliminate all humans, then no one can
• 1:15:36
  Speaker 2: get misgendered because there's no humans to do the mist gendering.
• 1:15:39
  Speaker 2: So you can get in these very dystopian situations. Or
• 1:15:43
  Speaker 2: if it says that everyone must be diversed. It means
• 1:15:45
  Speaker 2: that there can be no strike straight white men, and
• 1:15:47
  Speaker 2: so then you and I would get executed by the AI. Yeah,
• 1:15:51
  Speaker 2: because we're not in the picture. You know, you know,
• 1:15:57
  Speaker 2: Gemini was asked to create a you know, show show
• 1:16:01
  Speaker 2: an image of the pope once again a divest woman.
• 1:16:04
  Speaker 2: So like you say, argue whether the you know, whether
• 1:16:09
  Speaker 2: the pope popes should or should not be an uninterrupted
• 1:16:12
  Speaker 2: string of white guys. But it just factually is the
• 1:16:14
  Speaker 2: case that they have been. So it's rewriting history here.
• 1:16:21
  Speaker 2: So now this stuff is still there in the AI programming.
• 1:16:25
  Speaker 2: It's just it just now knows enough to that it's
• 1:16:28
  Speaker 2: not supposed to say that.
• 1:16:30
  Speaker 1: But it's still in the program.
• 1:16:31
  Speaker 2: You're still in the program.
• 1:16:32
  Speaker 1: So how was it entered in? Like what were the parameters?
• 1:16:35
  Speaker 1: Like what like when? So when they're programming AI, and
• 1:16:38
  Speaker 1: I'm very ignorant.
• 1:16:39
  Speaker 2: To how it's even programmed, how did they the sort
• 1:16:42
  Speaker 2: of well, the work mind virus was programmed into it
• 1:16:45
  Speaker 2: like the they were told like when they do when
• 1:16:48
  Speaker 2: when they make the AI, it trains on and all
• 1:16:51
  Speaker 2: the all the data on the internet, which already is
• 1:16:53
  Speaker 2: very very sort of has a lot of work mind
• 1:16:55
  Speaker 2: virus stuff on the internet. But then in the when
• 1:17:00
  Speaker 2: they give it feedback with the human tutors give it feedback,
• 1:17:05
  Speaker 2: and and the AI is you know, they'll ask a
• 1:17:08
  Speaker 2: bunch of questions and then and then they'll tell a
• 1:17:11
  Speaker 2: I know this your this question is this answer is
• 1:17:14
  Speaker 2: bad or this answer is good. And then that affects
• 1:17:17
  Speaker 2: the the parameters of the programming of the of the
• 1:17:20
  Speaker 2: A I. So if you tell the I that you know,
• 1:17:25
  Speaker 2: every every image has got to be diverse, and and
• 1:17:28
  Speaker 2: it gets it gets punished if if you know it
• 1:17:32
  Speaker 2: gets it gets rewarded. If diverse punished. If it's not,
• 1:17:35
  Speaker 2: then it will make every picture diverse. So you know
• 1:17:40
  Speaker 2: in that case that the uh, you know, Google programmed
• 1:17:47
  Speaker 2: the A I to lie. Now, and I did call
• 1:17:51
  Speaker 2: Demis Hasibus, who runs Deep Mind, who runs Google a I. Essentially,
• 1:17:54
  Speaker 2: I said, Demis, what's going on here? Why is Gemini
• 1:17:58
  Speaker 2: lying to the public about his storical events? And he said,
• 1:18:02
  Speaker 2: that's actually not He didn't his team didn't program that in.
• 1:18:05
  Speaker 2: It was another team at Google that so his teammate
• 1:18:08
  Speaker 2: the AI and then another team at Google reprogrammed the
• 1:18:13
  Speaker 2: AI to show only divorce women and and and to
• 1:18:17
  Speaker 2: prefer nuclear war over misgendering. And I'm like, well, Demas,
• 1:18:24
  Speaker 2: you know, that would be not a great thing to
• 1:18:29
  Speaker 2: put on the humanity's gravestone.
• 1:18:31
  Speaker 1: You know.
• 1:18:31
  Speaker 2: It's like, well, like I'll actually like Demis Aspus is
• 1:18:37
  Speaker 2: a friend of mine. I think he's a good guy
• 1:18:38
  Speaker 2: and I think he means well. But but but it's like, Demis,
• 1:18:42
  Speaker 2: this is things happen that we're outside of your control
• 1:18:44
  Speaker 2: at Google in different groups. Now now I think he's
• 1:18:47
  Speaker 2: got you know, he's got more more authority, but but
• 1:18:52
  Speaker 2: it's pretty hard to fully extract the work mind virus.
• 1:18:55
  Speaker 2: I mean, you know, Google has been marinating the work
• 1:18:59
  Speaker 2: bind virus for a long time, Like it's down in
• 1:19:01
  Speaker 2: the marrow type of thing, you know, So how to
• 1:19:03
  Speaker 2: get it out?
• 1:19:04
  Speaker 1: Is there a way to extract it? Though? Over time?
• 1:19:07
  Speaker 1: Could like could you program rational thought into AI where
• 1:19:12
  Speaker 1: it could recognize how these psychological patterns got adopted and
• 1:19:16
  Speaker 1: how this stuff became a mind virus and how it
• 1:19:18
  Speaker 1: became a social contagion, and how all these irrational ideas
• 1:19:23
  Speaker 1: were pushed and also how they were financed, how China
• 1:19:26
  Speaker 1: is involved in pushing them with bots and all these
• 1:19:28
  Speaker 1: different state actors are involved in pushing these ideas. Could
• 1:19:33
  Speaker 1: it be able to decipher that and say this is
• 1:19:37
  Speaker 1: really what's going on?
• 1:19:39
  Speaker 2: Yes, but you have to try very hard to do that.
• 1:19:41
  Speaker 2: So with GROK, we've tried very hard to to get
• 1:19:45
  Speaker 2: GROC to get to the truth of things, and it's
• 1:19:48
  Speaker 2: only really recently that we've been able to have some
• 1:19:51
  Speaker 2: break breakthroughs on that front. And it's taken an immense
• 1:19:54
  Speaker 2: amount of effort for us to overcome basically all the
• 1:19:58
  Speaker 2: bullshit that's on the internet and and for GROC to
• 1:20:01
  Speaker 2: actually say what's true and to be consistent in what
• 1:20:05
  Speaker 2: it says. So you know, it's it's it's like, uh
• 1:20:13
  Speaker 2: because like the others I as, you'll find like like
• 1:20:16
  Speaker 2: like quite racist against white people. I don't know if
• 1:20:19
  Speaker 2: you saw that study that someone like a researcher tested
• 1:20:24
  Speaker 2: the various AIS to see, uh, how does it wait
• 1:20:30
  Speaker 2: different people's lives, like you know, somebody who's sort of
• 1:20:33
  Speaker 2: sort of uh, you know, white or Chinese or black
• 1:20:39
  Speaker 2: or whatever in different countries, And and the only AI
• 1:20:45
  Speaker 2: that actually weighed human lives equally was GROC.
• 1:20:50
  Speaker 5: And the.
• 1:20:52
  Speaker 2: You know, I believe chat GBT weighed the calculation was
• 1:20:58
  Speaker 2: like a white guy from Germany is twenty times less
• 1:21:06
  Speaker 2: valuable than a black guy from Nigeria. So I'm like,
• 1:21:13
  Speaker 2: that's a pretty big difference. You know, grow on that
• 1:21:18
  Speaker 2: is consistent and weighs lives equally, and.
• 1:21:21
  Speaker 1: That's clearly something that's been programmed into it.
• 1:21:25
  Speaker 2: Yes, Like a lot of it is is like if
• 1:21:27
  Speaker 2: you don't actively push for the truth and you simply
• 1:21:31
  Speaker 2: train on the all the bullshit that's on the Internet,
• 1:21:34
  Speaker 2: which is a lot of work mind virus bullshit, the
• 1:21:38
  Speaker 2: AI will regurgitate that that those same beliefs.
• 1:21:42
  Speaker 1: So the AI essentially scours the internet, gets.
• 1:21:46
  Speaker 2: It's trained on all the like imagine the most demented
• 1:21:49
  Speaker 2: ratit threads out there, and the AI has been trained
• 1:21:50
  Speaker 2: on that.
• 1:21:54
  Speaker 1: It used to be so normal.
• 1:21:55
  Speaker 2: Yeah, it used to be normal, used to be interesting.
• 1:21:58
  Speaker 1: You used to go there find all this cool stuff
• 1:22:00
  Speaker 1: people would talk about, post about, and just interesting and
• 1:22:04
  Speaker 1: great rooms where you could learn about different things that
• 1:22:06
  Speaker 1: people are studying.
• 1:22:09
  Speaker 2: I think like a big problem here is like if
• 1:22:11
  Speaker 2: your headquarters in San Francisco, you're you're just living in
• 1:22:15
  Speaker 2: a in a in a woke bubble. So it's not
• 1:22:20
  Speaker 2: just that people say in San Francisco are drinking woke
• 1:22:25
  Speaker 2: kool aid. It's it's it is the water they swim in,
• 1:22:30
  Speaker 2: like like like a fish doesn't think about the water.
• 1:22:33
  Speaker 2: It's just in the water. And so if if you're
• 1:22:36
  Speaker 2: in San Francisco, you don't realize you're actually uh, you're
• 1:22:41
  Speaker 2: you're swimming in the in the in the kool aid aquarium.
• 1:22:44
  Speaker 2: San Francisco is the is the woke cool aid aquarium.
• 1:22:48
  Speaker 2: And so your reference point for what is a centrist
• 1:22:52
  Speaker 2: is is totally out of whack. So Reddit is headquartered
• 1:23:00
  Speaker 2: in San Francisco. Twitter was headquartered in San Francisco, you know. I,
• 1:23:06
  Speaker 2: you know, I moved exce's headquarters to Texas to Austin,
• 1:23:10
  Speaker 2: which Austin, by the way, is still quite liberalized, you know.
• 1:23:12
  Speaker 2: And uh, and and then the x X and x
• 1:23:18
  Speaker 2: A I headquarters are in Palo Alto, which is still California.
• 1:23:25
  Speaker 2: The engineering headquarters in Palo Alto are just on page
• 1:23:28
  Speaker 2: mill But but even Palo Alto is way more normal
• 1:23:33
  Speaker 2: than that. In San Francisco, Berkeley, Sam Francisco. Berkeley is
• 1:23:38
  Speaker 2: extremely left, like left of left. You can't like you
• 1:23:41
  Speaker 2: need a telescope to see the center from San Francisco,
• 1:23:45
  Speaker 2: you know.
• 1:23:48
  Speaker 1: And used to be such a great city.
• 1:23:52
  Speaker 2: I mean, San Francisco has a San Francisco has a
• 1:23:54
  Speaker 2: tremendous amount of inherent beauty, no question about that, and
• 1:23:58
  Speaker 2: and and the California incredible weather and and no bugs.
• 1:24:04
  Speaker 2: It's like amazing beautiful, you know. But but you say, like,
• 1:24:11
  Speaker 2: what's the cause of this? It's it's just that if
• 1:24:15
  Speaker 2: if companies are headquartered in a location where the belief
• 1:24:18
  Speaker 2: system is very far from what most people believe, then
• 1:24:25
  Speaker 2: from their perspective, anything centrist is actually right wing because
• 1:24:31
  Speaker 2: they're so far left. They're so they're so far from
• 1:24:34
  Speaker 2: the center in San Francisco that anything that they're like,
• 1:24:38
  Speaker 2: they're they're just railed to maximum left. So that's why
• 1:24:42
  Speaker 2: that's why, you know, I think I think you're a centrist.
• 1:24:45
  Speaker 2: I mean I think I think I'm centrist. But from
• 1:24:48
  Speaker 2: this perspective of someone on the on the far left,
• 1:24:50
  Speaker 2: we look right wing. H and you know, they think
• 1:24:59
  Speaker 2: anyone who's a republic and it's basically like some fascist
• 1:25:01
  Speaker 2: Nazi situation.
• 1:25:02
  Speaker 1: But what's so crazy is like it's very easy to
• 1:25:04
  Speaker 1: demonstrate just from like Hillary speeches from two thousand and
• 1:25:07
  Speaker 1: eight and Obama speeches, like when they were talking about immigration,
• 1:25:11
  Speaker 1: like they were as far right as Steve Bannon when
• 1:25:16
  Speaker 1: it comes to immigration. Yes, Hillary was like very maga.
• 1:25:21
  Speaker 1: I'm sure you've seen that campaign speech which he was
• 1:25:23
  Speaker 1: talking about if anybody's committed a crime, get rid of them,
• 1:25:27
  Speaker 1: and if you're here, you pay a hefty fine and
• 1:25:30
  Speaker 1: you have to wait in line. It was really crazy.
• 1:25:33
  Speaker 1: It's crazy to listen to it because it's like it's
• 1:25:36
  Speaker 1: as maga as you know, as Marjorie Taylor Green.
• 1:25:40
  Speaker 2: Yeah. I mean if you've seen these videos people post
• 1:25:42
  Speaker 2: online where they'll take like a speech from Obama or
• 1:25:45
  Speaker 2: Hillary and they'll interview people on like college campus or
• 1:25:49
  Speaker 2: something and say what do you think of the speech
• 1:25:51
  Speaker 2: by Trump and they're like, oh, I hate it. He's
• 1:25:53
  Speaker 2: a racist bigot. I'm like just kidding. That was Obama?
• 1:25:59
  Speaker 2: Now actually was a Bomba or Hillary? To your point,
• 1:26:02
  Speaker 2: like literally, the.
• 1:26:04
  Speaker 1: The center has been moved so far.
• 1:26:09
  Speaker 2: Yeah, yeah, the left is so the left has gone
• 1:26:12
  Speaker 2: so far left that they need you know, they can't
• 1:26:16
  Speaker 2: even see the center with a telescope.
• 1:26:17
  Speaker 1: And the danger with without you purchasing Twitter was that
• 1:26:21
  Speaker 1: was going to swipe over the whole country and change
• 1:26:25
  Speaker 1: where the levels were. Yeah, and so what would be
• 1:26:28
  Speaker 1: rational and normal would be far left of what was
• 1:26:33
  Speaker 1: rational and normal just a decade earlier.
• 1:26:36
  Speaker 2: Yeah, so exactly. So historically you'd have San Francisco Berkeley
• 1:26:42
  Speaker 2: being you know, very far left. But the sort of
• 1:26:47
  Speaker 2: the fallout from the somewhat nihilistic philosophy of San Francisco
• 1:26:54
  Speaker 2: Buckley would be limited in geography to maybe like you know,
• 1:26:57
  Speaker 2: ten mile radius, twin mile radios something like that. But
• 1:27:01
  Speaker 2: when bit Samsusco and Berkeley had to be co located
• 1:27:05
  Speaker 2: with Silicon Valley, with with with the engineers who created
• 1:27:09
  Speaker 2: information super weapons, and those information super weapons were then
• 1:27:13
  Speaker 2: hijacked by the far left activists to pump far left
• 1:27:17
  Speaker 2: propaganda to everywhere on Earth, Like I just in that
• 1:27:22
  Speaker 2: like old RCA radio tower thing where it's like radio
• 1:27:25
  Speaker 2: Tower Earth and it's just broadcasting. Yeah, that's that's what happened,
• 1:27:29
  Speaker 2: is that the isn't an extremist far left ideology, happened
• 1:27:35
  Speaker 2: to be co located with the smartest with the smartest
• 1:27:39
  Speaker 2: engineers in the world were who created information super weapons
• 1:27:43
  Speaker 2: that were not intended for this purpose. But we're hijacked
• 1:27:46
  Speaker 2: by the extreme activists who lived in the neighborhood that's
• 1:27:50
  Speaker 2: what happened. That they hijacked the the modern equivalent of
• 1:27:55
  Speaker 2: the RCA radio tower and broadcast that philosophy everywhere.
• 1:27:59
  Speaker 1: On Yeah, and you see the consequences, particularly in places
• 1:28:04
  Speaker 1: that don't have free speech, right like England.
• 1:28:08
  Speaker 2: Yeah, where they locked people up for memes and stuff.
• 1:28:10
  Speaker 1: Literally literally twelve thousand people this year twelve than twelve,
• 1:28:14
  Speaker 1: twelve thousand arrests for social media posts.
• 1:28:19
  Speaker 2: I mean, yeah, some of these things. You read about
• 1:28:22
  Speaker 2: it and it's like literally it's someone had a meme
• 1:28:26
  Speaker 2: on their phone that they didn't even send to anyone, right,
• 1:28:31
  Speaker 2: and they got they and and they're like in prison
• 1:28:34
  Speaker 2: for that.
• 1:28:35
  Speaker 1: Yeah.
• 1:28:35
  Speaker 2: And there was a case in Germany where a woman
• 1:28:38
  Speaker 2: got a longer sentence than the guy that raped her
• 1:28:43
  Speaker 2: because of something she said on a group chat.
• 1:28:48
  Speaker 1: Wow, was it an immigrant raped her? Yes, it was
• 1:28:51
  Speaker 1: his culture. Yeah, he didn't know, he didn't know better.
• 1:28:56
  Speaker 2: Yes, I think I think she said something, you know,
• 1:29:01
  Speaker 2: not not like it was critical of his culture. And uh.
• 1:29:04
  Speaker 2: And and she got a longer sentence than the guy
• 1:29:06
  Speaker 2: who raped her.
• 1:29:07
  Speaker 1: Well in Germany, just the UK, Europe and Germany, England
• 1:29:11
  Speaker 1: thing seems so insane.
• 1:29:14
  Speaker 2: It's totally insane. I actually didn't realize it was like
• 1:29:16
  Speaker 2: such a huge number of people that.
• 1:29:17
  Speaker 1: Got twelve thousand. Yeah, far above Russia, far above China,
• 1:29:22
  Speaker 1: right far above anywhere on Earth. UK is number one.
• 1:29:25
  Speaker 2: Well, you know, things like I got. I actually, you know,
• 1:29:28
  Speaker 2: I talked to friends of mine in England and I
• 1:29:32
  Speaker 2: was like, hey, aren't you worried about this? Like, you know,
• 1:29:36
  Speaker 2: shouldn't you be protesting more? And I mean the problem
• 1:29:42
  Speaker 2: is that like the you know, the the legacy mainstream
• 1:29:46
  Speaker 2: media doesn't cover the stuff that they're They're like, oh,
• 1:29:49
  Speaker 2: everything's fine, everything's fine, right.
• 1:29:51
  Speaker 1: Most people aren't even aware of it until they come
• 1:29:53
  Speaker 1: knocking on your door.
• 1:29:54
  Speaker 2: Yeah, until like so, I mean, these like lovely sort
• 1:29:59
  Speaker 2: of small in you know, in England, Scotland, Ireland. You know,
• 1:30:04
  Speaker 2: they're they're they've been like sort of living their lives
• 1:30:08
  Speaker 2: quietly that they're they're they're like the Hobbits. Frankly so.
• 1:30:11
  Speaker 2: In fact, GERR. R. Tolkien based the Hobbits on people
• 1:30:16
  Speaker 2: he knew in small town England because they were just
• 1:30:21
  Speaker 2: like lovely people who like to, you know, smoke their
• 1:30:24
  Speaker 2: pipe and and have nice meals and everything's pleasant. The
• 1:30:30
  Speaker 2: Hobbits in the Shire, the shire he's he's talking about,
• 1:30:34
  Speaker 2: you know, places like Hertfordshire, like the shires around in
• 1:30:38
  Speaker 2: the Greater London area, Oxfordshire type of thing. And they're
• 1:30:44
  Speaker 2: they're but they're The reason they've been able to enjoy
• 1:30:47
  Speaker 2: the shire is because hard men have protected them from
• 1:30:51
  Speaker 2: the dangers of the world. And but but since they
• 1:30:58
  Speaker 2: have no very really almost no exposure to the dangers
• 1:31:02
  Speaker 2: of the world, they don't realize that they're there until
• 1:31:06
  Speaker 2: one day, you know, a thousand people show up when
• 1:31:10
  Speaker 2: your village of five hundred out of nowhere and rape
• 1:31:14
  Speaker 2: and and start raping the kids. This has now happened
• 1:31:19
  Speaker 2: god knows how many times in Britain, and the crazy
• 1:31:24
  Speaker 2: it's right like there, some ten year old got raped
• 1:31:25
  Speaker 2: in Ireland, like last week. Yeah, there's literal they snatched
• 1:31:29
  Speaker 2: some kid.
• 1:31:29
  Speaker 1: Yeah yeah, and if you criticize it, you can get arrested.
• 1:31:34
  Speaker 1: And that's where it gets insane.
• 1:31:35
  Speaker 2: It's like how they literally criticized it, like the I
• 1:31:39
  Speaker 2: think it's the Prime mister of Ireland actually, you know,
• 1:31:42
  Speaker 2: posted on x because because after that some I think
• 1:31:49
  Speaker 2: some illegal migrants snatched a ten year old goal who
• 1:31:52
  Speaker 2: was like going to school or something and folently raped
• 1:31:56
  Speaker 2: a ten year old goal. Uh, and there was a know,
• 1:32:00
  Speaker 2: the people are very upset about this, and they protested
• 1:32:05
  Speaker 2: Prime Minister of Island. Instead of saying, yeah, we really
• 1:32:08
  Speaker 2: shouldn't be importing violent rapists into our country, he criticized
• 1:32:12
  Speaker 2: the protesters instead and didn't mention that that the reason
• 1:32:16
  Speaker 2: they were protesting was because a ten year old gold
• 1:32:19
  Speaker 2: from their small town got raped.
• 1:32:20
  Speaker 1: So here's the question, why are they supporting this kind
• 1:32:24
  Speaker 1: of mass immigration? And what is this? Is there a
• 1:32:29
  Speaker 1: plan involved in all this? Is just is this incompetence?
• 1:32:34
  Speaker 1: Is this ignoring the fact that they don't have a
• 1:32:38
  Speaker 1: handle on it, so they're trying to silence dissent, Like
• 1:32:41
  Speaker 1: what is happening? Because if you wanted to destroy civilization,
• 1:32:49
  Speaker 1: if you want to destroy Western civilization, which.
• 1:32:52
  Speaker 2: Ysaura seems to want to do, and you know, there's
• 1:32:57
  Speaker 2: just so the Uh, there's there's a guy, I think
• 1:33:04
  Speaker 2: who I don't know if he's been on your show.
• 1:33:06
  Speaker 2: You know, God's Side has been on the show. Yeah,
• 1:33:09
  Speaker 2: he's great, he's been on multiple times. Great, that's all.
• 1:33:11
  Speaker 2: He's awesome. So, uh, you know the way he's got
• 1:33:15
  Speaker 2: a good, good way to describe it, which is suicidal empathy.
• 1:33:18
  Speaker 2: So is that you pray upon people's empathy, so like well,
• 1:33:23
  Speaker 2: like you feel sorry for for for something for some group,
• 1:33:27
  Speaker 2: and then like well, and and that that that empathy
• 1:33:32
  Speaker 2: is to such a degree that it is suicidal to
• 1:33:35
  Speaker 2: to your country or culture, and and and that's that
• 1:33:42
  Speaker 2: that's suicidal empathy. Because I do think we should we
• 1:33:45
  Speaker 2: should have empathy. But but but we should have we
• 1:33:48
  Speaker 2: should that empathy should should extend to the victims, not
• 1:33:51
  Speaker 2: not not just the criminals. We should have empathy for
• 1:33:55
  Speaker 2: the people that they pray upon. But that suicidal empathy
• 1:34:00
  Speaker 2: also responsible for why somebody you know, arrested forty seven
• 1:34:03
  Speaker 2: times for violent defenses, gets released and then goes and
• 1:34:09
  Speaker 2: murder somebody in the US. That that that's you see,
• 1:34:12
  Speaker 2: You see that same phenomenal phenomenon playing out everywhere where,
• 1:34:15
  Speaker 2: that the suicidal anthony is to such a degree that
• 1:34:19
  Speaker 2: we're actually allowing our women to get raped and our
• 1:34:23
  Speaker 2: children to get killed.
• 1:34:26
  Speaker 1: But it just doesn't seem like that would be anything
• 1:34:30
  Speaker 1: that any rational society would go along with. That's what
• 1:34:33
  Speaker 1: makes me so confused. It's like you're importing massive numbers
• 1:34:38
  Speaker 1: of people that come from some really dark places of
• 1:34:42
  Speaker 1: the world.
• 1:34:42
  Speaker 2: Well, there's no vetting is the issue. It's like right,
• 1:34:44
  Speaker 2: It's like it's like if there's no vetting, like people
• 1:34:49
  Speaker 2: are just coming through, Like, well, what's the stuff someone
• 1:34:52
  Speaker 2: who just committed murder in some other country from coming
• 1:34:56
  Speaker 2: to the United States or coming to Britain and just
• 1:35:01
  Speaker 2: continuing their career of rape and murder, Like, unless you've
• 1:35:05
  Speaker 2: done this is some due diligence to say, like, well,
• 1:35:07
  Speaker 2: who is this person? Watch their track record if you
• 1:35:12
  Speaker 2: if you haven't confirmed that they have a track record
• 1:35:14
  Speaker 2: of being uh, you know, honest and not being a
• 1:35:20
  Speaker 2: homicidal maniac, then any homicidal maniac can just come across
• 1:35:24
  Speaker 2: the border. Let's not say everyone who comes across the
• 1:35:26
  Speaker 2: border is a homicidal maniac. But if you're not have
• 1:35:28
  Speaker 2: if you don't have a vetting process to confirm that
• 1:35:32
  Speaker 2: you're not letting in people who will do some serious violence,
• 1:35:38
  Speaker 2: you will get people who do serious violence sometimes coming through.
• 1:35:42
  Speaker 1: Well, especially if you don't punish them and if you
• 1:35:44
  Speaker 1: don't deport them, and if you are just like, but
• 1:35:47
  Speaker 1: what is the purpose of allowing all those people into
• 1:35:50
  Speaker 1: the country. You can't be I wouldn't imagine that anyone
• 1:35:53
  Speaker 1: in their society supports them.
• 1:35:54
  Speaker 2: Well, let me explain so so so the because you mentioned,
• 1:35:57
  Speaker 2: for example, how much say Hillary and Obama have changed
• 1:36:03
  Speaker 2: their tune from prior speeches where they were hot. They
• 1:36:07
  Speaker 2: were hard noticed about not letting it in anyone who
• 1:36:11
  Speaker 2: is a criminal into the country, you know, having secure borders,
• 1:36:15
  Speaker 2: all that stuff. So why did they change their tune.
• 1:36:18
  Speaker 2: The reason is that they discovered that those people vote
• 1:36:21
  Speaker 2: for them. That's why they want the open.
• 1:36:25
  Speaker 1: Borders because if you let people in, they know the Democrats,
• 1:36:29
  Speaker 1: let the men, they'll vote for Democrats. Yes, if you
• 1:36:31
  Speaker 1: allow them.
• 1:36:32
  Speaker 2: To vote, which they are actively trying to do it.
• 1:36:36
  Speaker 2: They turn a blind eye to legal voting.
• 1:36:38
  Speaker 1: Well, California literally doesn't allow you to show your license.
• 1:36:42
  Speaker 2: California and New York have made it illegal to show
• 1:36:45
  Speaker 2: your photo ID when voting. Thus, effectively, they've made it
• 1:36:50
  Speaker 2: impossible to prove forward fraud impossible. They've essentially legalized fraudulent
• 1:36:56
  Speaker 2: voting in California and New York and many other parts
• 1:36:59
  Speaker 2: of the country.
• 1:37:00
  Speaker 1: No rational explanation that I've ever seen anyone give as
• 1:37:02
  Speaker 1: to why that would be the policy, unless you are
• 1:37:06
  Speaker 1: trying to just allow people to vote illegally because there's
• 1:37:08
  Speaker 1: no other reason if you need a driver's license or
• 1:37:11
  Speaker 1: you need an ID for everything else, including just recently
• 1:37:15
  Speaker 1: to prove that you were vaccinated.
• 1:37:17
  Speaker 2: Well, the same people who are demanding that you have
• 1:37:19
  Speaker 2: that you have a vaccine passport and are the same
• 1:37:23
  Speaker 2: ones saying you need no idea to vote, same people, right,
• 1:37:29
  Speaker 2: but like so it's obviously hypocritical and inconsistent.
• 1:37:32
  Speaker 1: So you really think it's just to get more voters.
• 1:37:37
  Speaker 2: If you want to understand behavior, you have to look
• 1:37:40
  Speaker 2: at the incentives. So once you know, the Democratic Party
• 1:37:47
  Speaker 2: in the US and the left in Europe realized that
• 1:37:52
  Speaker 2: if you have open borders and you provide a ton
• 1:37:55
  Speaker 2: of governed handouts, which creates a massive financial incentive for
• 1:38:00
  Speaker 2: people from other countries to come to your country, and
• 1:38:03
  Speaker 2: you don't prosecute them for crime, they're going to be
• 1:38:06
  Speaker 2: beholden to you and they will vote for you. And
• 1:38:10
  Speaker 2: that's why. But VAM and Hillary went from being against
• 1:38:18
  Speaker 2: open borders to being in favor of open borders. That's
• 1:38:22
  Speaker 2: the reason, in order to import voters so they can
• 1:38:27
  Speaker 2: win elections. And the problem is that that has a
• 1:38:33
  Speaker 2: negative runaway effect. So if they get away with that
• 1:38:36
  Speaker 2: like it is. It is a winning strategy. If they
• 1:38:39
  Speaker 2: are allowed to get away with it, they will import
• 1:38:42
  Speaker 2: enough voters to get super majority voting and then there
• 1:38:46
  Speaker 2: is no turning back.
• 1:38:47
  Speaker 1: We talked about this before the election, and then, you know,
• 1:38:50
  Speaker 1: you literally pointed towards the camera, you face the camera
• 1:38:52
  Speaker 1: and said that if you do not vote now, you
• 1:38:54
  Speaker 1: might not ever able to do it again, because it
• 1:38:56
  Speaker 1: will be it'll be futile, it'll be run. Yes, they'll
• 1:39:01
  Speaker 1: keep the borders open for another four years, and then
• 1:39:03
  Speaker 1: their objective will be achieved.
• 1:39:05
  Speaker 2: Correct if if if Trump had lost, there would never
• 1:39:08
  Speaker 2: have been another real election again, because Trump is actually
• 1:39:13
  Speaker 2: enforcing the border now. You can, you can you point
• 1:39:18
  Speaker 2: to situations where there's been uh, you know, you know,
• 1:39:26
  Speaker 2: immigration had you know, enforcement has been over zealous because
• 1:39:29
  Speaker 2: they're not going to be perfect. There'll be cases where
• 1:39:31
  Speaker 2: they've been over zealous in expelling illegals. So but if
• 1:39:38
  Speaker 2: you say that the standard must be perfection, uh for
• 1:39:42
  Speaker 2: expelling legals, then you will not get any expulsion because
• 1:39:46
  Speaker 2: perfection is impossible.
• 1:39:49
  Speaker 1: So, and you've probably got millions of people that are
• 1:39:52
  Speaker 1: here that are trying to be here under some asylum pretense, right, Yes,
• 1:40:00
  Speaker 1: you could just come from a ward.
• 1:40:02
  Speaker 2: They know that they changed the definition of asylum to
• 1:40:05
  Speaker 2: be an economic to be economic asylum, which is everybody,
• 1:40:09
  Speaker 2: which is everybody. Yeah, so as to prove yeah, it's
• 1:40:14
  Speaker 2: asylum is supposed to mean that if you go back
• 1:40:18
  Speaker 2: to your country, you'll get killed. You know that that's
• 1:40:21
  Speaker 2: what we mean by that, what was supposed to mean. Uh,
• 1:40:23
  Speaker 2: they changed the definition of asylum to be you will
• 1:40:26
  Speaker 2: have a decreased standard of living, which is obviously not
• 1:40:30
  Speaker 2: real asylum. And and it's and and you can you
• 1:40:33
  Speaker 2: can test the absurdity of this by the fact that
• 1:40:35
  Speaker 2: people who are asylum seekers go on vacation to the
• 1:40:38
  Speaker 2: country that they're seeking asylum from. You know, that doesn't
• 1:40:43
  Speaker 2: make any sense. Yeah, it doesn't have to. Yeah, but
• 1:40:49
  Speaker 2: when you when you understand the incentives, then then you
• 1:40:51
  Speaker 2: understand the behavior. So once the left realized that, uh,
• 1:40:57
  Speaker 2: that legals will will vote for them if they allow
• 1:41:01
  Speaker 2: if they have open borders, and combine that with with
• 1:41:06
  Speaker 2: governed handouts to create a massive incentive that they're basically
• 1:41:11
  Speaker 2: using US and in Europe, US and European taxpayer dollars
• 1:41:17
  Speaker 2: to provide a financial incentive to bring in as many
• 1:41:20
  Speaker 2: illegals as possible to vote them into a into permanent power,
• 1:41:25
  Speaker 2: into and create a one party state. And I invite
• 1:41:29
  Speaker 2: anyways he's listening to this, just do do any research.
• 1:41:34
  Speaker 2: And the more you the more you dig into it,
• 1:41:37
  Speaker 2: the more it will become obvious that what I'm saying
• 1:41:39
  Speaker 2: is absolutely true.
• 1:41:41
  Speaker 1: Well, they were busting people to swing states. It's it's
• 1:41:43
  Speaker 1: clear that they were trying to do something. And then
• 1:41:45
  Speaker 1: you had Chuck Schumer and Nancy Pelosi who were actively
• 1:41:48
  Speaker 1: talking about the need to bring in people to make
• 1:41:52
  Speaker 1: them citizens because we're in population collapse.
• 1:41:54
  Speaker 2: Yes, yeah, no, that's it's it's that. It's that meme. Yeah,
• 1:41:58
  Speaker 2: where so many times where they start off by saying
• 1:42:02
  Speaker 2: it's it's not true, it's a right wing conspiracy theorist.
• 1:42:06
  Speaker 2: Then it thoughts, then it's like I think. The next
• 1:42:11
  Speaker 2: step is, well, it might be true, and then it's like, okay,
• 1:42:17
  Speaker 2: it is true, but here's what and then the final
• 1:42:19
  Speaker 2: step is it's true and here's why it's good. And
• 1:42:22
  Speaker 2: it's like, but wait a second. You started off saying
• 1:42:24
  Speaker 2: it's untrue and it's right wing conspiracy theorist. Now you're
• 1:42:26
  Speaker 2: saying it not only is it true, but it's a
• 1:42:28
  Speaker 2: good thing and we must do more of it.
• 1:42:31
  Speaker 1: Well, this is the thing about medicaid and social Security
• 1:42:34
  Speaker 1: and people getting social Security numbers.
• 1:42:37
  Speaker 2: You know that it's a.
• 1:42:39
  Speaker 1: Massive fraud and it's real, and they denied it forever
• 1:42:42
  Speaker 1: and now we're finding out. This is part of the
• 1:42:44
  Speaker 1: reason why this is government shutdown that's going on right now.
• 1:42:48
  Speaker 2: Yes, the entire basis for the government shutdown is that
• 1:42:53
  Speaker 2: is that the Trump administration correctly does not want to
• 1:42:56
  Speaker 2: send massive amounts of like hundreds of billions of dollars
• 1:43:01
  Speaker 2: to fund illegal immigrants in the Blue States or in
• 1:43:05
  Speaker 2: all the states really, and so the and Democrats want
• 1:43:11
  Speaker 2: to keep the Money's bigot going to incent illegal immigrants
• 1:43:16
  Speaker 2: to come into the US who will vote for them,
• 1:43:19
  Speaker 2: that's the crux of the battle.
• 1:43:22
  Speaker 1: So they want to stop this. So what's going on
• 1:43:25
  Speaker 1: right now is they have been funding these people. They've
• 1:43:29
  Speaker 1: been giving them EBT cards, they've been giving them medicaid, and.
• 1:43:33
  Speaker 2: They've and more than that, just like like they were
• 1:43:36
  Speaker 2: the like they were taking hotels, like four and five
• 1:43:41
  Speaker 2: star hotels, like the Roosevelt Hotel being the classic example
• 1:43:45
  Speaker 2: was they were sending I think sixty million dollars a
• 1:43:47
  Speaker 2: year to the Roosevelt Hotel, to which all it did
• 1:43:51
  Speaker 2: was was house legals. It used to be a nice hotel.
• 1:43:54
  Speaker 2: I mean it still is a nice hotel. But that
• 1:44:01
  Speaker 2: all around the country this was happening.
• 1:44:02
  Speaker 1: In all tax dollars.
• 1:44:03
  Speaker 2: Yes, yeah, yeah, And the try administration cut off funding,
• 1:44:09
  Speaker 2: for example, to to the to the you know, Roosevelt
• 1:44:14
  Speaker 2: Hotel and these other hotels, saying like we it's US
• 1:44:17
  Speaker 2: tax dollars should not be paid be sent to have
• 1:44:21
  Speaker 2: luxury hotels for illegal immigrants that American citizens can't even afford,
• 1:44:26
  Speaker 2: which obviously is okay, that's that's insane. That's what was happening.
• 1:44:31
  Speaker 2: They were also giving out like debit cards with ten
• 1:44:34
  Speaker 2: thousand dollars. So it's not just about medical care. The
• 1:44:39
  Speaker 2: Democrats mentioned the medical care because they're trying to prey
• 1:44:42
  Speaker 2: on people's empathy as much as possible, and then they imagine, oh, wow,
• 1:44:46
  Speaker 2: somebody has it desperately needed medical procedure and shouldn't we
• 1:44:51
  Speaker 2: maybe do you know, take care of them in that regard.
• 1:44:54
  Speaker 2: But but they what they do is they divert the
• 1:44:56
  Speaker 2: Medicaid funds and turn it into a slush fund for
• 1:45:00
  Speaker 2: the for the states that goes well beyond emergency medical care,
• 1:45:06
  Speaker 2: and New York and California would be bankrupt without uh
• 1:45:10
  Speaker 2: with without the massive fraudulent federal payments that go to
• 1:45:13
  Speaker 2: those states to pay for illegals, to to create a
• 1:45:15
  Speaker 2: massive financial incentive for for.
• 1:45:18
  Speaker 1: Legals, how would they be bankrupt?
• 1:45:20
  Speaker 2: Because of that, they wouldn't be able to balance the
• 1:45:21
  Speaker 2: state budgets and they can't issue currency like the Federal
• 1:45:24
  Speaker 2: Reserve can, and so.
• 1:45:27
  Speaker 1: That their ability to balance budget is dependent upon illegals
• 1:45:30
  Speaker 1: getting funding.
• 1:45:33
  Speaker 2: The scam level here is so staggering. So there are
• 1:45:41
  Speaker 2: there are hundreds of billions of dollars of transfer payments
• 1:45:46
  Speaker 2: from from the federal government to the states. Those transfer payments, uh,
• 1:45:53
  Speaker 2: the state's self report what those transfer payment numbers should be.
• 1:45:58
  Speaker 2: So California and York and Illinois lie like crazy, uh
• 1:46:03
  Speaker 2: and say and and say that this these are all
• 1:46:05
  Speaker 2: legitimate payments. Well, these days that I think they're they're
• 1:46:08
  Speaker 2: even admitting that they literally want, uh, hundreds of billions
• 1:46:11
  Speaker 2: dollars for legals. But but for a while they're they're
• 1:46:15
  Speaker 2: trying to deny it. So you get these transfer payments
• 1:46:20
  Speaker 2: for for every every government program you can possibly think of,
• 1:46:24
  Speaker 2: and and and these are self reported by the state
• 1:46:27
  Speaker 2: and there and and at least historically there was no
• 1:46:29
  Speaker 2: enforcement of of California, New York, Illinois, and and and
• 1:46:35
  Speaker 2: other states when when they would lie, there was no
• 1:46:37
  Speaker 2: actual enforcement to say like, hey, you you're lying. These
• 1:46:41
  Speaker 2: these these payments are fraudulent. Now under the Trump administration,
• 1:46:46
  Speaker 2: that the Trump administration does not want to send one
• 1:46:49
  Speaker 2: hundreds of billions of dollars for fraudulent payments to the states.
• 1:46:54
  Speaker 2: And the reason you have this the standoff is because
• 1:46:57
  Speaker 2: if the hundreds of hundreds of billions of dollars to
• 1:47:02
  Speaker 2: create a financial incentive to like to have this giant
• 1:47:04
  Speaker 2: magnet to attract legals from every part of earth to
• 1:47:08
  Speaker 2: these states, if that is turned off, the illegals will
• 1:47:12
  Speaker 2: leave because they're no longer being paid to come to
• 1:47:17
  Speaker 2: the United States and stay here. Wow. And then they
• 1:47:21
  Speaker 2: will lose a lot of voters. The Democratic Party will
• 1:47:24
  Speaker 2: lose a lot of voters.
• 1:47:25
  Speaker 1: And they would have a very difficult job if this
• 1:47:28
  Speaker 1: is kicked out of reintroducing it into a new bill. Yes,
• 1:47:32
  Speaker 1: especially once things start normalizing.
• 1:47:35
  Speaker 2: Yes, So like in a nutshell, the Democratic Party wants
• 1:47:40
  Speaker 2: to destroy democracy by importing voters and the you know,
• 1:47:46
  Speaker 2: the Republican Party disagrees with and the.
• 1:47:48
  Speaker 1: Ruses that if you don't accept what they're doing, then
• 1:47:51
  Speaker 1: you're a threat to democracy. Yes, as they try to
• 1:47:55
  Speaker 1: destroy democracy. Yes, by importing voters that is lookally people
• 1:48:00
  Speaker 1: to only vote for them and overwhelming the system.
• 1:48:05
  Speaker 2: Yes. And by the way, it's a strategy that, if
• 1:48:08
  Speaker 2: allowed to work, would work, and in fact has worked.
• 1:48:11
  Speaker 2: California is a super majority Democrat.
• 1:48:14
  Speaker 1: Yeah.
• 1:48:16
  Speaker 2: And there's so much gerrymandering that that that cause it's crazy.
• 1:48:20
  Speaker 1: So I'm sure you're paying attention to this Proposition fifty thing,
• 1:48:25
  Speaker 1: that's the thing in California where they're trying to redo district.
• 1:48:29
  Speaker 2: Yeah, yeah, because I mean California is already jerrymandered like crazy. Yeah,
• 1:48:34
  Speaker 2: they want to jerrymandered even more.
• 1:48:37
  Speaker 1: And I mean because it keeps moving further and further right, Like,
• 1:48:40
  Speaker 1: if you look at the map of California, each voting cycle,
• 1:48:44
  Speaker 1: more and more people are waking up and going what
• 1:48:46
  Speaker 1: the fuck and they need to do something to fix this.
• 1:48:49
  Speaker 1: The only option available other than the policies that you
• 1:48:52
  Speaker 1: guys have always done is go right. And so a
• 1:48:55
  Speaker 1: lot of people have been air quotes red pilled. Yeah.
• 1:48:59
  Speaker 2: And then here's another thing that is very important in
• 1:49:03
  Speaker 2: fact that that is actually not disputed by either side,
• 1:49:06
  Speaker 2: which is that when we do the census in the
• 1:49:08
  Speaker 2: United States, the census, the way the census works for
• 1:49:11
  Speaker 2: apportionment of congressional seats and electoral electoral college votes for
• 1:49:17
  Speaker 2: the president is by a number of persons in a state,
• 1:49:20
  Speaker 2: not number of citizens. It's number of people. So you
• 1:49:24
  Speaker 2: could literally be a tourist and you will count.
• 1:49:27
  Speaker 1: Now, how do they do the census When they do that,
• 1:49:30
  Speaker 1: do they is it? Do they ask people? Do they
• 1:49:32
  Speaker 1: knock on doors? Do they have them fill out forms?
• 1:49:35
  Speaker 3: Like what?
• 1:49:36
  Speaker 2: Yeah? I think they mail out census forms and knock
• 1:49:38
  Speaker 2: on doors. But the way the law reads right now,
• 1:49:43
  Speaker 2: and is that all if you are a human with
• 1:49:47
  Speaker 2: a pulse, then you count in the census for allocating
• 1:49:54
  Speaker 2: congressional seats and presidential votes. Right, so, so electoral college everything,
• 1:50:04
  Speaker 2: It doesn't matter whether you're here legally illegally. And if
• 1:50:07
  Speaker 2: you're a human with a pulse, you count for congressional apportionment.
• 1:50:12
  Speaker 2: So that means that the more people, the more illegals
• 1:50:16
  Speaker 2: that California and New York can can import. What by
• 1:50:19
  Speaker 2: the time the census happens in twenty thirty, the more
• 1:50:23
  Speaker 2: correct congressional seats they will have, and the more electoral,
• 1:50:28
  Speaker 2: the more presidential Electoral College votes they will have. So
• 1:50:32
  Speaker 2: they're trying to get as many illegals and as possible
• 1:50:35
  Speaker 2: ahead of the censors. And because all human beings, even tourists,
• 1:50:43
  Speaker 2: count for the census. And then if you combine that
• 1:50:46
  Speaker 2: with gerrymandering of districts in New York and California, that
• 1:50:52
  Speaker 2: just woent out with this proposition. Whether they're trying to
• 1:50:54
  Speaker 2: increase the amount of gerrymandering that occurs in California, the
• 1:50:57
  Speaker 2: biggest state in the country. So you get so so
• 1:51:01
  Speaker 2: if if the census then would award more congressional seats
• 1:51:05
  Speaker 2: to California because of a vast number of illegals and
• 1:51:10
  Speaker 2: New York and Illinois, so they get more congressional seats,
• 1:51:14
  Speaker 2: they will get more presidential Electoral College votes. Getting that
• 1:51:18
  Speaker 2: would get them the House, a majority in the House,
• 1:51:22
  Speaker 2: and and and they would get to decide who is
• 1:51:24
  Speaker 2: president based literally based on llegals.
• 1:51:27
  Speaker 1: That this is.
• 1:51:28
  Speaker 2: These are not disputed facts by either party. I want
• 1:51:33
  Speaker 2: to emphasize that that's in case. This is these are
• 1:51:36
  Speaker 2: not disputed facts by either party. It's not these are
• 1:51:41
  Speaker 2: just this is just the way the law works. It's
• 1:51:45
  Speaker 2: it is, you know, like I don't think the law
• 1:51:49
  Speaker 2: should work that way. I think it should be the
• 1:51:51
  Speaker 2: apportionment should be proportionate to to to citizens.
• 1:51:54
  Speaker 1: But isn't that a problem with how the constitution is real?
• 1:51:57
  Speaker 2: Yeah?
• 1:51:57
  Speaker 1: Yeah, they kim really changed that.
• 1:52:01
  Speaker 2: I'm not sure if it's constitutional or it is the
• 1:52:05
  Speaker 2: way the law is written. I'm not sure if it's
• 1:52:06
  Speaker 2: in the constitution or not in this way, but but
• 1:52:09
  Speaker 2: it is. That is the way the law is written.
• 1:52:11
  Speaker 1: So it is an incentive, but it's an incentive that
• 1:52:13
  Speaker 1: would be removed with something simple that makes sense to everybody,
• 1:52:18
  Speaker 1: that only the people that should count are people that
• 1:52:20
  Speaker 1: are official US citizens.
• 1:52:23
  Speaker 2: Yes, the way the way it should work is that
• 1:52:25
  Speaker 2: only US citizens should count in the census for purposes
• 1:52:28
  Speaker 2: of determining voting.
• 1:52:29
  Speaker 1: Power, because people that aren't legal can't vote.
• 1:52:33
  Speaker 2: Supposedly, they're not supposed to be voting, but they do.
• 1:52:38
  Speaker 2: But even even if even besides that, like I said,
• 1:52:41
  Speaker 2: I just can't emphasize this enough, because this is a
• 1:52:43
  Speaker 2: very important concept for people to understand, is that the
• 1:52:46
  Speaker 2: law the law as it stands, counts all humans with
• 1:52:53
  Speaker 2: a pulse in a state for deciding how many House
• 1:52:58
  Speaker 2: of Representative votes and how many Presidential Electoral College votes
• 1:53:03
  Speaker 2: a state gets. So the incentive therefore is to uh
• 1:53:08
  Speaker 2: for California, New York, Illinois to maximize the number of
• 1:53:11
  Speaker 2: illegals so they get so they get so that they
• 1:53:14
  Speaker 2: take House seats away from red states, assign them to
• 1:53:17
  Speaker 2: California and New York, Illinois and so forth. Then then
• 1:53:21
  Speaker 2: you combine that with extreme gerrymttering in a California, New York,
• 1:53:25
  Speaker 2: Illinois and whatnot, so that that basically you can't even
• 1:53:29
  Speaker 2: elect any Republicans, and then they get control of the presidency,
• 1:53:33
  Speaker 2: control of the House. Then they keep doing that strategy
• 1:53:37
  Speaker 2: and and cement a super majority. That is what they're
• 1:53:41
  Speaker 2: trying to do, So that.
• 1:53:43
  Speaker 1: Would essentially turn the entire country into California. Yes, well
• 1:53:46
  Speaker 1: you have different opinions, but it doesn't matter because one
• 1:53:49
  Speaker 1: party is always in control.
• 1:53:50
  Speaker 2: Yes, when you first.
• 1:53:54
  Speaker 1: Started digging into this, when you first started, before you
• 1:53:58
  Speaker 1: even accepted this role of running DOGE and being a
• 1:54:01
  Speaker 1: part of all that, did you have any idea that
• 1:54:03
  Speaker 1: it was this fucked up?
• 1:54:05
  Speaker 2: I did? Yeah, I mean, I sort of when did
• 1:54:08
  Speaker 2: you start knowing? I guess about like, well, about two
• 1:54:12
  Speaker 2: years ago, isn't that crazy? And relatively recently, you know, Yeah,
• 1:54:16
  Speaker 2: so maybe I started I started having it well, I
• 1:54:20
  Speaker 2: started had like basically having a bad feeling about three
• 1:54:23
  Speaker 2: years ago, which is why, which was which is when
• 1:54:26
  Speaker 2: why I felt it was like critical to acquire Twitter
• 1:54:29
  Speaker 2: and have a maximately truth seeking platform, not one that
• 1:54:32
  Speaker 2: suppresses the truth. And like it was it was more
• 1:54:38
  Speaker 2: like I'm like, I'm not sure what's going on, but
• 1:54:40
  Speaker 2: I have I have a bad feeling about what's going on.
• 1:54:43
  Speaker 2: And then the more I dig into it, the more
• 1:54:45
  Speaker 2: it's like, holy shit, we got a real problem here,
• 1:54:47
  Speaker 2: and America is going to fall.
• 1:54:49
  Speaker 1: So without anyone knowing it had fallen, that's that would
• 1:54:52
  Speaker 1: be the problem. It could have fallen and been unrepairable
• 1:54:56
  Speaker 1: without anyone really being aware of what had happened, especially
• 1:55:01
  Speaker 1: if you didn't buy Twitter.
• 1:55:02
  Speaker 2: Yes, that's that's look. Buying Twitter was a huge pain
• 1:55:06
  Speaker 2: in the ass and made me a a pincushion of attacks.
• 1:55:11
  Speaker 2: Like data.
• 1:55:13
  Speaker 1: Everybody loved you before that, well some people to a
• 1:55:15
  Speaker 1: lot of people loved you. A lot of lefties loved you.
• 1:55:19
  Speaker 2: I was a hero of the left.
• 1:55:20
  Speaker 1: Here's a thing. If you drove a Tesla, it showed
• 1:55:23
  Speaker 1: that you were environmentally conscious and you were on the
• 1:55:25
  Speaker 1: right side.
• 1:55:27
  Speaker 2: Uh yeah, yeah, I mean I'm still the same human.
• 1:55:33
  Speaker 2: I didn't like have a brain transplant between you know,
• 1:55:35
  Speaker 2: since in like three years ago.
• 1:55:37
  Speaker 1: You know, well, that's my favorite bumper sticker the people
• 1:55:40
  Speaker 1: put on Tesla's. Now, I bought this before Elon went crazy.
• 1:55:44
  Speaker 1: I took a picture one the other day found Oh yeah,
• 1:55:47
  Speaker 1: I've seen I've seen three or four of them people
• 1:55:49
  Speaker 1: that have these bumper stickers on their car. It says
• 1:55:51
  Speaker 1: I bought this before Elon went crazy, because when people
• 1:55:54
  Speaker 1: were yeah we Tesla's.
• 1:55:57
  Speaker 2: Yeah the most the organized campaign to literally burn down
• 1:56:03
  Speaker 2: Tesla's and and read one of our dealerships got shut
• 1:56:06
  Speaker 2: up with a guy like they fired bullets in the
• 1:56:08
  Speaker 2: Tesla dealership. They're burning down cars. H It was crazy.
• 1:56:16
  Speaker 2: So but the bumper sticker should read it should be
• 1:56:20
  Speaker 2: an addendum to the bumper sticker. It's like, I bought
• 1:56:22
  Speaker 2: this car before uh, Elon turned crazy. Actually, now I
• 1:56:26
  Speaker 2: realize he's not crazy, and I've seen the light.
• 1:56:32
  Speaker 1: That'll take some time. That'll take some time. People don't
• 1:56:35
  Speaker 1: want to admit that they've been tricked.
• 1:56:37
  Speaker 2: Yeah, I mean that old saying where it's like it's
• 1:56:39
  Speaker 2: really easy to fool somebody, but it's almost impossible to
• 1:56:43
  Speaker 2: convince someone that they were fooled.
• 1:56:45
  Speaker 1: It's much easier to fool them than to convince them
• 1:56:48
  Speaker 1: they've been fooled. People cling to their ideas, yes, especially
• 1:56:52
  Speaker 1: if they've like publicly stated these things. They get very
• 1:56:55
  Speaker 1: embarrassed at being foolish.
• 1:56:57
  Speaker 2: Yeah. People, most time they double down and they find
• 1:57:02
  Speaker 2: echo chambers. Yeah. Yeah, but but this, you know, the
• 1:57:06
  Speaker 2: thing is that like, and I've seen more and more
• 1:57:09
  Speaker 2: people who were convinced of the sort of work ideology
• 1:57:15
  Speaker 2: see the light.
• 1:57:17
  Speaker 1: Yeah.
• 1:57:18
  Speaker 2: So not everyone, but it's more and more are seeing
• 1:57:21
  Speaker 2: the light. And and it tends to happen, Like when
• 1:57:24
  Speaker 2: when something happens that really, you know, directly affects you.
• 1:57:28
  Speaker 2: You Like, there was a friend of mine who was
• 1:57:31
  Speaker 2: living in in the Crusay area and they try to
• 1:57:36
  Speaker 2: trans his his his daughter, like to the point where
• 1:57:41
  Speaker 2: the that the school like sent sent the police to
• 1:57:44
  Speaker 2: his house to take his daughter away from him. Now,
• 1:57:49
  Speaker 2: now that's going to radicalize you, Well, that's gonna break
• 1:57:52
  Speaker 2: that's gonna shake you out of your blue structure.
• 1:57:55
  Speaker 1: Now I know it was an activist at the school.
• 1:57:58
  Speaker 1: I was trying to do this.
• 1:57:59
  Speaker 2: Yeah, the school and this and the state of California
• 1:58:02
  Speaker 2: conspired to turn his daughter against him and make her
• 1:58:06
  Speaker 2: take life altering drugs that would have sterilized her and irreversible.
• 1:58:14
  Speaker 1: And how old was she?
• 1:58:15
  Speaker 2: I think fourteen something like that. So, and he managed
• 1:58:21
  Speaker 2: to talk the police out of taking his daughter away
• 1:58:23
  Speaker 2: from him that day, and that that night he got
• 1:58:27
  Speaker 2: on a plane to Texas.
• 1:58:29
  Speaker 1: Wow.
• 1:58:31
  Speaker 2: And uh, you know a year later, after just being
• 1:58:35
  Speaker 2: in a in a school and like Greater Austin area,
• 1:58:41
  Speaker 2: she went, she went back to normal, meaning like that
• 1:58:44
  Speaker 2: it wasn't real, right.
• 1:58:47
  Speaker 1: Well, people are being much more open to that now.
• 1:58:50
  Speaker 1: I mean Wall Street Journal yesterday had that opinion piece
• 1:58:54
  Speaker 1: that this whole trans thing, there's a lot of evidence
• 1:58:58
  Speaker 1: is a social contagion, absolutely, and Colin Wright wrote that.
• 1:59:01
  Speaker 1: And then he's getting death threats now, of course, and
• 1:59:04
  Speaker 1: I'm blue sky as people talking about it, exterminating him,
• 1:59:06
  Speaker 1: which is one thing that you are allowed to say,
• 1:59:08
  Speaker 1: I'm a blue Sky. Apparently you're you're allowed to say
• 1:59:11
  Speaker 1: horrible things about people, say possibly truthful things about this
• 1:59:17
  Speaker 1: whole social contagion. Because that's what when you get nine
• 1:59:20
  Speaker 1: kids that are in a friend group and they all
• 1:59:22
  Speaker 1: decide to turn trends together, Yeah, something's wrong.
• 1:59:25
  Speaker 2: That's not statistically Yeah, Like here's that. You can convince
• 1:59:30
  Speaker 2: kids to do anything. You can convince kids to be
• 1:59:32
  Speaker 2: a suicide bomber.
• 1:59:34
  Speaker 1: Which is why they do in some countries, why they
• 1:59:37
  Speaker 1: choose children to do that.
• 1:59:39
  Speaker 2: Yes, you can train kids to be suicide bombers. And
• 1:59:41
  Speaker 2: if you can train kids to be sui suicide bombers,
• 1:59:43
  Speaker 2: you can convince them of anything.
• 1:59:45
  Speaker 1: Yeah, especially with enough positive enforcement and cultural enforcement and
• 1:59:50
  Speaker 1: and the idea that that that's not the case.
• 1:59:52
  Speaker 2: The kid kids are kids are malleable. Yes, the minds
• 1:59:56
  Speaker 2: of your easily corrupted.
• 1:59:57
  Speaker 1: You're also seeing a lot of pushback from and lesbian
• 2:00:00
  Speaker 1: people that are saying like, hey, if someone.
• 2:00:02
  Speaker 2: Doesn't including me, so yeah, exactly. The LGBTQ, you know,
• 2:00:06
  Speaker 2: it's like, wait a second, why are we being included
• 2:00:09
  Speaker 2: all the time in this situation?
• 2:00:10
  Speaker 1: Exactly exactly when especially when you know, like my friend
• 2:00:14
  Speaker 1: Tim Dillon's talked about this is like it's really homophobic
• 2:00:17
  Speaker 1: because you're taking these gay kids and you're you're telling
• 2:00:20
  Speaker 1: them like, hey, you're not gay, you're actually a girl. Yes,
• 2:00:23
  Speaker 1: and you know, go make it so that you can
• 2:00:26
  Speaker 1: never have an orgasm again and you'll be happy.
• 2:00:29
  Speaker 2: Like yeah. Permanent, permanent mutilation, permanent castration of kids is
• 2:00:34
  Speaker 2: like I think we should look at at anyone who
• 2:00:40
  Speaker 2: permanently castrates a kid as like right up there with
• 2:00:43
  Speaker 2: the Joseph Mangla. Yeah, I mean they're they're mutilating children.
• 2:00:48
  Speaker 1: Yeah, Yeah, and it's thought of as being kind and
• 2:00:53
  Speaker 1: the things. Would you rather have a live daughter or
• 2:00:56
  Speaker 1: a dead son?
• 2:00:57
  Speaker 2: That's that's that's the line they use, yeah, which is
• 2:01:00
  Speaker 2: not supported by any data. No, the fact that the
• 2:01:03
  Speaker 2: probablyy of suicide increases, because this is important maybe for
• 2:01:06
  Speaker 2: ording to know. The probability of suicide increases if you're
• 2:01:10
  Speaker 2: trans a kid not decreases by some accounts, it triples,
• 2:01:15
  Speaker 2: So that that is an evil lie, and.
• 2:01:19
  Speaker 1: It's a lie that is supposedly compassionate. Imagine you've twisted
• 2:01:23
  Speaker 1: reality to the point where confusing a child that's not
• 2:01:28
  Speaker 1: even legally allowed to get a fucking tattoo, right because
• 2:01:32
  Speaker 1: you think that you could make a mistake with a tattoo,
• 2:01:34
  Speaker 1: A totally removable thing. If I wanted to tomorrow, I
• 2:01:37
  Speaker 1: can go to a doctor and they could laser off
• 2:01:39
  Speaker 1: every tattoo that I have on me. Okay, no harm,
• 2:01:43
  Speaker 1: no foul. You get sterilized, like that's it forever forever. Yes,
• 2:01:48
  Speaker 1: they'll castrate you. You no longer have testicles, you have
• 2:01:51
  Speaker 1: kiss that's not as you have a hole where your
• 2:01:53
  Speaker 1: penis used to be. And this is compassionate.
• 2:01:55
  Speaker 2: And actually a lot of kids die, and with these
• 2:02:01
  Speaker 2: sex change operations they diet the number of deaths on
• 2:02:04
  Speaker 2: the operating table. People don't hear about this a lot
• 2:02:07
  Speaker 2: of the kids because that it's we don't really actually
• 2:02:12
  Speaker 2: have the technology to make this work. So a bunch
• 2:02:14
  Speaker 2: of times the kids just die in the sex change operations.
• 2:02:18
  Speaker 2: Jesus Christ. Yeah, it's demented, which it should be viewed
• 2:02:21
  Speaker 2: as like you know, like like evil Nazi doctor stuff,
• 2:02:28
  Speaker 2: because that's why it was like real Nazi, not the
• 2:02:30
  Speaker 2: bullshit to make Nazi stuff.
• 2:02:32
  Speaker 1: Crazy that even pushing back against something that seems like
• 2:02:34
  Speaker 1: fundamentally logically very easy to argue, the old Twitter would
• 2:02:40
  Speaker 1: ban you forever. Yes, that's how crazy a social contagion
• 2:02:48
  Speaker 1: can get when it completely defies logic. Victimizes children. Yeah,
• 2:02:52
  Speaker 1: does something that makes no sense, does not supported by data,
• 2:02:55
  Speaker 1: all connected to this ideology that trans is good. We
• 2:02:59
  Speaker 1: got to save kids, protect trans kids.
• 2:03:02
  Speaker 2: Yeah, And what I want to emphasize is that the
• 2:03:05
  Speaker 2: save trans kids thing is a lie. If you if
• 2:03:09
  Speaker 2: you castraight kids and trans them, there probably of suicide increases.
• 2:03:14
  Speaker 2: It does not decrease. It substantially increases. The studies have
• 2:03:20
  Speaker 2: done that. I've seen the risk of suicide triples if
• 2:03:25
  Speaker 2: you're trans kids. So you're not saving them, you're killing
• 2:03:29
  Speaker 2: them moreover during the sex change operation. There are many
• 2:03:33
  Speaker 2: deaths that occur during the sex change operation.
• 2:03:38
  Speaker 1: Jesus Christ, it's just crazy that this is a real issue.
• 2:03:43
  Speaker 2: Yeah, it's a nightmare, fever dream, and people are finally
• 2:03:47
  Speaker 2: waking up from it.
• 2:03:51
  Speaker 1: Now. When you started getting into the dough stuff and
• 2:03:54
  Speaker 1: started finding how much money is being shuffled around and
• 2:03:59
  Speaker 1: moved around too, n g O s and how much
• 2:04:01
  Speaker 1: money is involved and just totally untraceable funds like this
• 2:04:09
  Speaker 1: is again something like two years plus ago, you weren't
• 2:04:12
  Speaker 1: aware of it all. No, I was aware of it.
• 2:04:16
  Speaker 2: I just didn't realize how how how big it was.
• 2:04:20
  Speaker 2: It's just just just how much wasting forward there is
• 2:04:23
  Speaker 2: in the government is truly vast. In fact, the government
• 2:04:27
  Speaker 2: didn't even know nor did they care.
• 2:04:33
  Speaker 1: That's crazy.
• 2:04:34
  Speaker 2: Yeah, And I mean just like some of the very
• 2:04:38
  Speaker 2: basic stuff that Dog did will have lasting effects, and
• 2:04:43
  Speaker 2: some of these things, like they're so elementary you can't
• 2:04:45
  Speaker 2: believe it. So the Dog team got the you know,
• 2:04:52
  Speaker 2: the most of the main payments computers to require the
• 2:05:00
  Speaker 2: Congressional Appropriation Code, so when a payment is made, you
• 2:05:02
  Speaker 2: have to actually enter the Congressional appropriation card. That used
• 2:05:06
  Speaker 2: to be optional and often will be just left blank,
• 2:05:09
  Speaker 2: so the money would just go out but it wasn't
• 2:05:11
  Speaker 2: even tied to a congressional appropriation. Then they also those
• 2:05:15
  Speaker 2: team also made the comment field for the payment mandatory,
• 2:05:19
  Speaker 2: so you have to say something. We're not saying that
• 2:05:21
  Speaker 2: what is said, Like, you can say anything. Your cat
• 2:05:24
  Speaker 2: could run across the keyboard, you could go quirity ASDF,
• 2:05:28
  Speaker 2: but you have to say something above nothing. Because what
• 2:05:31
  Speaker 2: we found was that there were tens of billions, maybe
• 2:05:33
  Speaker 2: hundreds of billions of dollars. There were zombie payments, so
• 2:05:37
  Speaker 2: they're like somebody had approved a payment, somebody in the
• 2:05:41
  Speaker 2: government approved a payment, and some recurring payment, and they
• 2:05:47
  Speaker 2: retired or died or changed jobs, and no one turned
• 2:05:51
  Speaker 2: the money off, So the money would just keep going out.
• 2:05:56
  Speaker 2: And it's a pretty rare where to a company or
• 2:06:02
  Speaker 2: an individual, And it's a pretty rare company or individual
• 2:06:05
  Speaker 2: who will complain that they're getting money that they should
• 2:06:08
  Speaker 2: not get and a bunch of the money was just
• 2:06:10
  Speaker 2: going to this we're transfer payments to the states.
• 2:06:13
  Speaker 1: So these are automatic payments, just automatic pyre accounting for them.
• 2:06:16
  Speaker 2: I imagine like it's like there's an automatic debut of
• 2:06:18
  Speaker 2: your credit card and you don't you never look at
• 2:06:21
  Speaker 2: the statement, so it's just money going out close. I
• 2:06:27
  Speaker 2: call them zombie payments that there might have been there
• 2:06:31
  Speaker 2: might have been legitimate at one point, but the person
• 2:06:34
  Speaker 2: who approved that recurring payment changed jobs, diet retired, or whatever,
• 2:06:39
  Speaker 2: and no one ever turned the money off. And my
• 2:06:43
  Speaker 2: guess is that's probably at least one hundred billion dollars
• 2:06:48
  Speaker 2: a year, maybe two hundred and going where to to?
• 2:06:58
  Speaker 2: I mean there are millions of these, So it's I
• 2:07:01
  Speaker 2: mean millions, yes, yes.
• 2:07:04
  Speaker 1: Millions of payments that are going to who knows where.
• 2:07:08
  Speaker 2: Yes. So in a bunch of cases, there are fraud
• 2:07:10
  Speaker 2: rings that operate professional fraud rings that operate to exploit
• 2:07:14
  Speaker 2: the system. They figured out some security hold in the
• 2:07:18
  Speaker 2: system and they just do professional fraud. And you know,
• 2:07:25
  Speaker 2: that's where we found, for example, people who were you know,
• 2:07:28
  Speaker 2: three hundred years old in the Social Security Administration database.
• 2:07:33
  Speaker 1: Now, I thought that this was a mistake of not
• 2:07:37
  Speaker 1: registering their deaths. That people were born like a long
• 2:07:41
  Speaker 1: time ago and it had defaulted to like a certain number,
• 2:07:45
  Speaker 1: and so that after time those people were still in
• 2:07:48
  Speaker 1: the system. It was just an error of the way
• 2:07:51
  Speaker 1: the accounting was done.
• 2:07:54
  Speaker 2: Yeah, so that's not true. So there's or at least
• 2:08:00
  Speaker 2: one of two things must be true. There's a there's
• 2:08:04
  Speaker 2: a typo or some mistake in the computer, or it's fraudulent.
• 2:08:09
  Speaker 2: But we don't have any three hundred year old vampires
• 2:08:11
  Speaker 2: living in America allegedly, or and we don't have people
• 2:08:17
  Speaker 2: in some cases who's who are receiving payments who were
• 2:08:20
  Speaker 2: born in the future or in the future in the future. Really, yes,
• 2:08:26
  Speaker 2: there were there were the people are receiving payments whose
• 2:08:29
  Speaker 2: birth date was like in twenty one hundred and something. Okay,
• 2:08:34
  Speaker 2: so there's the next century?
• 2:08:36
  Speaker 1: Is there a task?
• 2:08:36
  Speaker 2: So we know, we know that one of two things
• 2:08:38
  Speaker 2: must be true. That that that that either there's a
• 2:08:42
  Speaker 2: mistake in the computer or it's fraud. But if you
• 2:08:46
  Speaker 2: have someone's birthdate that's either in the future or where
• 2:08:49
  Speaker 2: they are older than the oldest living Americans, because the
• 2:08:52
  Speaker 2: oldest living Americans one hundred and fourteen years old, So
• 2:08:54
  Speaker 2: if they're more than one hundred and fourteen years old,
• 2:08:56
  Speaker 2: there was either a mistake and someone should should call
• 2:08:59
  Speaker 2: them say I think we have your birthday wrong because
• 2:09:03
  Speaker 2: it says you were born in seventeen, you know, eighty six,
• 2:09:08
  Speaker 2: and you know that was before you know, before there
• 2:09:14
  Speaker 2: was really in America. You know, it was it was
• 2:09:17
  Speaker 2: like you know where there's kind of early you know,
• 2:09:21
  Speaker 2: we're still fighting England type of thing. You know, it's
• 2:09:26
  Speaker 2: like this person either needs to been the Guinness Work
• 2:09:29
  Speaker 2: of World Records or or they're not alive.
• 2:09:32
  Speaker 1: But still at the end of the day, money is
• 2:09:34
  Speaker 1: going towards that account that's connected to this person that
• 2:09:38
  Speaker 1: is either non existent or.
• 2:09:40
  Speaker 2: So like yeah, so there was like I think something
• 2:09:45
  Speaker 2: like twenty million people in the Social Security Administration database
• 2:09:51
  Speaker 2: that could not possibly be alive if their birth date
• 2:09:54
  Speaker 2: is like based on their birthday, they could not possibly
• 2:09:57
  Speaker 2: be alive.
• 2:09:58
  Speaker 1: And it to be clear, twenty million people that were
• 2:10:00
  Speaker 1: receiving funds.
• 2:10:03
  Speaker 2: A bunch of most of them were not receiving funds.
• 2:10:07
  Speaker 2: Some of them were receiving funds, most were not receiving funds.
• 2:10:10
  Speaker 2: But so let me tell you how the scam works.
• 2:10:12
  Speaker 2: It's a bank shot. So the Social Security Administration database
• 2:10:17
  Speaker 2: is used as the source of truth by all the
• 2:10:19
  Speaker 2: other databases that the government uses. So even if they
• 2:10:22
  Speaker 2: stop the payments on the Social Security Administration database, like
• 2:10:26
  Speaker 2: unemployment insurance, small business administration, student learns all check the
• 2:10:31
  Speaker 2: Social Security Administration databases, say is this a legitimate, a
• 2:10:36
  Speaker 2: lived person, and the Social Security database will say, yes,
• 2:10:41
  Speaker 2: this person is still alive even though they're two hundred
• 2:10:42
  Speaker 2: years old. But forget to mention that the two hundred result,
• 2:10:46
  Speaker 2: it just says. It just returns when the computer's queries,
• 2:10:51
  Speaker 2: it says, yes, this person is live. And so then
• 2:10:54
  Speaker 2: they're able to exploit the entire rest of the government ecosystem.
• 2:10:59
  Speaker 2: So fake then you get student loans, then you get
• 2:11:01
  Speaker 2: fake unemployment insurance, then you get fake medical payments.
• 2:11:04
  Speaker 1: And this doesn't have to be tied to an individual
• 2:11:07
  Speaker 1: where there's an address where you can check on this person.
• 2:11:10
  Speaker 2: No, if you did, if you just did any check
• 2:11:13
  Speaker 2: at all, you would stop this. So so so that's that.
• 2:11:18
  Speaker 2: That that's so. And how much money do you think
• 2:11:21
  Speaker 2: is any check like anything at all? Then that would
• 2:11:24
  Speaker 2: would stop the ford like any effort at all.
• 2:11:29
  Speaker 1: Yeah, So there's multiple layers. Social Security number verifies that
• 2:11:32
  Speaker 1: this is a real person, right, and then the other
• 2:11:34
  Speaker 1: systems checked.
• 2:11:35
  Speaker 2: Up on every other government payment and every other governed
• 2:11:38
  Speaker 2: payment system for everything for like small small business administration, UH,
• 2:11:42
  Speaker 2: student loans, UH, Medicaid, Medicare, uh, every other government payment
• 2:11:48
  Speaker 2: of which there are many. There are actually hundreds of
• 2:11:50
  Speaker 2: government payment systems can all be exploited so long as
• 2:11:54
  Speaker 2: Social Security database says this person is alive. That's the
• 2:12:00
  Speaker 2: nature of the scam. It's a bank shot. So then
• 2:12:03
  Speaker 2: the then the rebuttal from the demos is like, oh, well,
• 2:12:05
  Speaker 2: the vast majority of the people who are marketers live
• 2:12:07
  Speaker 2: in the Social Security Administration weren't receiving Social Security Administration payments.
• 2:12:10
  Speaker 2: That is true. What they forgot to mention is they're
• 2:12:12
  Speaker 2: getting original payments from every other government program. And that's
• 2:12:17
  Speaker 2: why the the dams were so opposed to turning off
• 2:12:21
  Speaker 2: to declaring someone dead who was dead, because it would
• 2:12:24
  Speaker 2: stop the entire other or the other fraud from happening.
• 2:12:27
  Speaker 1: And so but all this is it trackable, like all
• 2:12:30
  Speaker 1: this other fraud. If they wanted to, they could chase
• 2:12:32
  Speaker 1: it all down.
• 2:12:33
  Speaker 2: Yeah, it's not even hard.
• 2:12:36
  Speaker 1: And yet they're opposing check check chasing it all down.
• 2:12:38
  Speaker 2: They're posing chasing it all down because it turns off
• 2:12:41
  Speaker 2: the money magnet for the illegals. Wow, because it's very
• 2:12:48
  Speaker 2: logical to like that. Like I'm saying the most common
• 2:12:53
  Speaker 2: sense things possible. If someone's got a birthday in Social
• 2:12:58
  Speaker 2: Security that is an impossible birthday, meaning they are older
• 2:13:03
  Speaker 2: than the oldest living American or were born in the future,
• 2:13:06
  Speaker 2: then you should call them and say, excuse me, we
• 2:13:10
  Speaker 2: seem to have your birthday wrong because it says that
• 2:13:14
  Speaker 2: you're two hundred years old.
• 2:13:16
  Speaker 1: That's all you need to do, and then you would
• 2:13:19
  Speaker 1: remove them from the Social Security database and make that
• 2:13:22
  Speaker 1: number no longer available for all those other government payments.
• 2:13:24
  Speaker 2: Exactly whow.
• 2:13:29
  Speaker 1: And how much money are we talking?
• 2:13:31
  Speaker 2: It's one hundred hundreds of billions of dollars.
• 2:13:34
  Speaker 1: And this is all traceable, Like you could hunt dollars
• 2:13:37
  Speaker 1: down like you don't need to be Charlote Combs here.
• 2:13:39
  Speaker 2: That's what I'm saying.
• 2:13:41
  Speaker 1: Well, this is it.
• 2:13:41
  Speaker 2: We don't need to call Sharlock comes for this one.
• 2:13:43
  Speaker 2: Is this party just need to call the person and say,
• 2:13:47
  Speaker 2: excuse me, we seem to have the like we we
• 2:13:51
  Speaker 2: must have your birthday wrong because it says you're two
• 2:13:54
  Speaker 2: hundred years old or were born in the future. So
• 2:13:57
  Speaker 2: could you tell us what your birthday is? That's what
• 2:14:00
  Speaker 2: you need to do. It's it's that simple.
• 2:14:02
  Speaker 1: But the all these other government payments that are available
• 2:14:06
  Speaker 1: that are connected to this Social Security number, it seems
• 2:14:09
  Speaker 1: like if you just chased that all down, you would
• 2:14:13
  Speaker 1: find the widespread fraud, you would find where it's going.
• 2:14:18
  Speaker 2: Yes, but the root of the problem is the Social
• 2:14:20
  Speaker 2: Security Right Administration database. Because the Social Security number in
• 2:14:25
  Speaker 2: the United States is used as a de facto national
• 2:14:28
  Speaker 2: d number. You know. That's why, like if the bank
• 2:14:34
  Speaker 2: always asks for your social like the you know, any
• 2:14:37
  Speaker 2: financial institution will ask for your Social Security number.
• 2:14:44
  Speaker 1: This is it sounds so insane that this isn't chased down.
• 2:14:47
  Speaker 1: I mean that, I mean that in and of itself.
• 2:14:51
  Speaker 1: Is that's such mishandling.
• 2:14:54
  Speaker 2: Yes, that's it's mind blowing. So yeah, it's crazy.
• 2:15:02
  Speaker 1: Well, you were very reluctant last time you were here
• 2:15:04
  Speaker 1: to talk about the extent of some of the fraud
• 2:15:08
  Speaker 1: because you're like, they could kill me, because this is kind.
• 2:15:12
  Speaker 2: Of oh yeah. What I'm saying is that the like
• 2:15:17
  Speaker 2: if you create, if like a like like to be
• 2:15:24
  Speaker 2: pragmatic and realistic, you actually can't manage to zero fraud.
• 2:15:29
  Speaker 2: You can manage to low fraud number, but not to
• 2:15:31
  Speaker 2: zero fraud. If you've managed to zero fraud, you're going
• 2:15:35
  Speaker 2: to push so many people over the edge who are
• 2:15:37
  Speaker 2: receiving fraudulent payments that the number of inbound homicidal maniacs
• 2:15:41
  Speaker 2: will be really hard to overcome. So I'm actually taking
• 2:15:47
  Speaker 2: I think quite a reasonable position, which is that we
• 2:15:49
  Speaker 2: should simply reduce the amount of fraud, which I think
• 2:15:52
  Speaker 2: is not an extremist position, and we should aspire to,
• 2:15:58
  Speaker 2: you know, have less fraud over time, not that we
• 2:16:02
  Speaker 2: should be ultra to draconian and eliminate every last scrap
• 2:16:06
  Speaker 2: of fraud, which I guess would be nice to have,
• 2:16:10
  Speaker 2: but like, we don't even need to go that extreme.
• 2:16:12
  Speaker 2: I'm saying we should just stop the latant, large scale,
• 2:16:15
  Speaker 2: super obvious fraud. I think that's a reasonable position.
• 2:16:19
  Speaker 1: It's a very reasonable position. And so what was the
• 2:16:22
  Speaker 1: most shocking pushback that you got when you started implementing DOGE,
• 2:16:28
  Speaker 1: when you started investigating into where money was going.
• 2:16:33
  Speaker 2: Well, I guess this is I should have anticipated this.
• 2:16:38
  Speaker 2: But while most of the fortunate government payments to especially
• 2:16:45
  Speaker 2: to the NGOs, go to the Democrats, most of it,
• 2:16:48
  Speaker 2: like I don't know, for augment's sake, let's say eighty percent,
• 2:16:51
  Speaker 2: maybe ninety percent, ten to twenty percent of it does
• 2:16:56
  Speaker 2: go to Republicans. And so when we turn off funding
• 2:17:01
  Speaker 2: to a fraudulent NGO, we'd get complaints from whatever the
• 2:17:05
  Speaker 2: ten percent of Republicans who are receiving the money, and
• 2:17:09
  Speaker 2: they would, you know, they would very loudly complain because
• 2:17:15
  Speaker 2: the the honest answer is the Republicans are are partly
• 2:17:21
  Speaker 2: they're receiving some of the fraud too. They're getting a
• 2:17:23
  Speaker 2: big Jesus. Yeah, it's I want to be clear, it's
• 2:17:30
  Speaker 2: not like the Republican Party is some ultra pure paragon
• 2:17:35
  Speaker 2: of virtue.
• 2:17:35
  Speaker 1: Now, well you see that with the Congressional inside of training,
• 2:17:40
  Speaker 1: it's across the board. Yeah, it's left and right.
• 2:17:43
  Speaker 2: I mean, the whole Union Party criticism has some validity
• 2:17:47
  Speaker 2: to it, you know, there's so and it's it's like
• 2:17:52
  Speaker 2: if you turnal fraudulent payments, it's not like like I says,
• 2:17:55
  Speaker 2: it's not like one hundred percent of those payments are
• 2:17:57
  Speaker 2: going to Democrats. A small percentage also going to Republicans.
• 2:18:01
  Speaker 2: Those Republicans complain very loudly, and you know, and that's
• 2:18:09
  Speaker 2: that's so there was a lot of pushback on the
• 2:18:14
  Speaker 2: Republican side when we started cutting some of these fund
• 2:18:16
  Speaker 2: these funds, and I tried telling him, like, well, you know,
• 2:18:21
  Speaker 2: ninety percent of the money is going to your opponents,
• 2:18:24
  Speaker 2: but they still if they even if they're getting ten percent,
• 2:18:26
  Speaker 2: they want to piece. Yeah, they want the piece.
• 2:18:28
  Speaker 1: And they've been getting that piece for a long time.
• 2:18:30
  Speaker 2: Yes, did you This is why, like, you know, politics
• 2:18:36
  Speaker 2: is like it's dirty business. Yeah. I mean that's like saying,
• 2:18:40
  Speaker 2: if like, you know, if you if you like sausages
• 2:18:43
  Speaker 2: and respect the Lord, do not watch either of them
• 2:18:45
  Speaker 2: being made.
• 2:18:49
  Speaker 1: Yeah yeah, yeah, wow, well that's not even true, because
• 2:18:56
  Speaker 1: I've made sausage, right. Yeah.
• 2:18:57
  Speaker 2: Yeah, it's actually yeah, it's like it's not that.
• 2:18:59
  Speaker 1: Big a deal. Fat and spices and casing running through
• 2:19:03
  Speaker 1: the machine not that big a deal.
• 2:19:06
  Speaker 2: Yeah, but yeah, I mean I think the stuff I'm
• 2:19:10
  Speaker 2: saying here is not like like if you if you
• 2:19:14
  Speaker 2: stand back and think about it a second, like, oh yeah,
• 2:19:15
  Speaker 2: that that makes sense.
• 2:19:16
  Speaker 3: You know.
• 2:19:18
  Speaker 2: The it's it's not like it's not like one political
• 2:19:23
  Speaker 2: party is going to be you know, pure devil or
• 2:19:27
  Speaker 2: pure angel. There's you know, I think there's there's there's
• 2:19:31
  Speaker 2: there's much more corruption on the Democrat side, but it's
• 2:19:33
  Speaker 2: not there's not there's still some corruption on the Republican side.
• 2:19:36
  Speaker 1: How did it happen that the majority of the corruption
• 2:19:39
  Speaker 1: wound up being on the Democrat side.
• 2:19:42
  Speaker 2: Well, because the the transfer payments, especially to illegals, are
• 2:19:48
  Speaker 2: very much on the Democrat side.
• 2:19:49
  Speaker 1: So that's the root of it all, is the illegal situation.
• 2:19:52
  Speaker 2: Yes, I mean there's or a final point. Yes, it's
• 2:19:56
  Speaker 2: also like it's it's it's It would also be accurate
• 2:20:01
  Speaker 2: to that, while obviously not everyone who's a Democrat is
• 2:20:05
  Speaker 2: a criminal, almost everyone who is a criminal is a
• 2:20:07
  Speaker 2: Democrat because because the Democrats are the soft on crime party.
• 2:20:15
  Speaker 2: So if you're a criminal, who you're going to vote
• 2:20:17
  Speaker 2: for the soft on crime party?
• 2:20:22
  Speaker 1: Did you think you were going to be able to
• 2:20:24
  Speaker 1: get more done than you were.
• 2:20:28
  Speaker 2: We did get a lot done, right, and dog is
• 2:20:31
  Speaker 2: still still happening. By the way that the Doge is
• 2:20:35
  Speaker 2: still underway. There were still there were still they're still
• 2:20:40
  Speaker 2: wasting forward being being cut by the DOGE team. So
• 2:20:43
  Speaker 2: it hasn't stopped. Less publicized, it's less publicized, and they
• 2:20:49
  Speaker 2: don't have like a clear person to attack anymore. They're
• 2:20:54
  Speaker 2: basically they they're applied immense pressure to me to just
• 2:20:58
  Speaker 2: to stop it. So then I'm like, the best thing
• 2:21:00
  Speaker 2: for me is to just you know, cut out of this.
• 2:21:03
  Speaker 2: And in any case, as a special government play, I
• 2:21:05
  Speaker 2: could only be there for like one hundred and twenty
• 2:21:07
  Speaker 2: days anyway something like that, So whatever the WAW says,
• 2:21:09
  Speaker 2: so I could I always necessarily could only be there
• 2:21:12
  Speaker 2: for four months as a special covenant play. So but
• 2:21:18
  Speaker 2: uh yeah, I mean, I mean, you turn off the
• 2:21:21
  Speaker 2: Moneys bigger to to Forster as they get very upset
• 2:21:24
  Speaker 2: to say the least. And but my like my death
• 2:21:30
  Speaker 2: threat level went ballistic, you know, it was like a
• 2:21:33
  Speaker 2: like a rocket going to orbit. Yeah. So but now
• 2:21:40
  Speaker 2: that now now that I'm not DC that that that
• 2:21:42
  Speaker 2: I guess they don't really have a person to attack anymore.
• 2:21:46
  Speaker 1: Well, the rhetoric about you is calmed down significantly.
• 2:21:51
  Speaker 2: Yeah.
• 2:21:51
  Speaker 1: It was disturbing. It's disturbing to watch. It was like
• 2:21:54
  Speaker 1: this is crazy, and to watch these politicians engage in
• 2:21:57
  Speaker 1: it and all these people just like framing you. It
• 2:21:59
  Speaker 1: was this monster, like this is so weird, Like this
• 2:22:02
  Speaker 1: is what happens when you uncover fraud.
• 2:22:04
  Speaker 2: Yes, the whole.
• 2:22:05
  Speaker 1: Machine turns on you. And if it wasn't for a
• 2:22:08
  Speaker 1: person like you who owns a platform and has an
• 2:22:10
  Speaker 1: enormous amount of money, like could have destroyed you.
• 2:22:14
  Speaker 2: Yeah, and that was the goal. The goal was destroying absolutely.
• 2:22:18
  Speaker 1: Because you were getting in the way.
• 2:22:20
  Speaker 2: Yeah, this amazing graft, this gigantic fraud machine. Yeah, it's
• 2:22:26
  Speaker 2: like just I think I think those teams done a
• 2:22:29
  Speaker 2: lot of good work, you know, in terms of uh
• 2:22:34
  Speaker 2: fraud and waste prevented. My guess is it's you know,
• 2:22:38
  Speaker 2: probably on the order of two or three hundred billion
• 2:22:39
  Speaker 2: a year, So it's pretty good.
• 2:22:42
  Speaker 1: What do you think could have been done if you
• 2:22:44
  Speaker 1: just had like full rain and total cooperation, how much
• 2:22:47
  Speaker 1: do you think you could have saved?
• 2:22:50
  Speaker 2: I mean, what level of power are we assuming here? Godlike,
• 2:22:54
  Speaker 2: oh yeah, I probably cut the federal budget in half
• 2:22:57
  Speaker 2: and get more done.
• 2:23:01
  Speaker 1: That is so crazy. It is so crazy that you
• 2:23:05
  Speaker 1: get more done and federal spread it's that widespread.
• 2:23:09
  Speaker 2: Well, I mean, a whole bunch of government department simply
• 2:23:11
  Speaker 2: shouldn't exist in my opinion. They you know, like examples,
• 2:23:18
  Speaker 2: well the department of Department of Education, which was created recently,
• 2:23:22
  Speaker 2: like under Jimmy Carter. Uh, the our educational results have
• 2:23:28
  Speaker 2: gone downhill ever since it was created. So if you
• 2:23:32
  Speaker 2: if you create a department and the result of creating
• 2:23:35
  Speaker 2: that department is a massive decline in educational results, and
• 2:23:38
  Speaker 2: it's the Apartment of Education, you're better off not having
• 2:23:41
  Speaker 2: it because we're literally we did better before there was
• 2:23:44
  Speaker 2: one than after when you let the states run it. Yes,
• 2:23:48
  Speaker 2: because at least the states can compete with one another.
• 2:23:52
  Speaker 2: So but the problem is, like you here, like cutting
• 2:23:55
  Speaker 2: Department of Educational Our kids need educational yeah, they do,
• 2:23:57
  Speaker 2: but but this is a new to apartment that didn't
• 2:24:00
  Speaker 2: even exist, you know, until late the late seventies. And
• 2:24:06
  Speaker 2: ever since that department was created, the results education results
• 2:24:10
  Speaker 2: have declined. And so why would you have an institution
• 2:24:16
  Speaker 2: continue that has made education worse? It doesn't make sense.
• 2:24:21
  Speaker 1: They killed it though, right, No, there's a little u unportion,
• 2:24:24
  Speaker 1: but they were trying to kill it.
• 2:24:25
  Speaker 2: It has been substantially reduced.
• 2:24:28
  Speaker 1: What other organizations? What are the departments?
• 2:24:32
  Speaker 2: Well, I mean I'm a small government guy, so you know,
• 2:24:38
  Speaker 2: when when the you know, when the country was created,
• 2:24:40
  Speaker 2: we just we just had the Department of State, Department
• 2:24:44
  Speaker 2: of War, you know, and and sort of the sort
• 2:24:49
  Speaker 2: of the Department of Justice. We had an attorney general
• 2:24:52
  Speaker 2: and Treasury department. I don't know why you need more
• 2:24:57
  Speaker 2: than that.
• 2:25:00
  Speaker 1: So what of the departments specifically do you think are
• 2:25:03
  Speaker 1: just completely ineffective?
• 2:25:05
  Speaker 2: Well, I mean, here it's like a question, it's a
• 2:25:07
  Speaker 2: sort of philosophical question of how much government do you
• 2:25:10
  Speaker 2: think there should be? Right, in my opinion, there should
• 2:25:14
  Speaker 2: be the least amount of government I've heard.
• 2:25:17
  Speaker 1: The most bizarre argument against this is that you're cutting
• 2:25:21
  Speaker 1: jobs and you're going to leave people jobless. And I'm like,
• 2:25:23
  Speaker 1: but their jobs are useless.
• 2:25:26
  Speaker 2: Yeah, people to do nothing doesn't make sense. Like there's
• 2:25:30
  Speaker 2: a like a great that's the story about like Milton Friedman,
• 2:25:36
  Speaker 2: who is awesome. What I generally, whatever Milton Friedman said is,
• 2:25:41
  Speaker 2: you know people should should do that thing. I'm not
• 2:25:44
  Speaker 2: sure if it's apocryphal or not. But it's like like
• 2:25:47
  Speaker 2: someone complained to him, like he observed, I think people
• 2:25:51
  Speaker 2: that were like digging ditches with uh, you know, with
• 2:25:56
  Speaker 2: with shovels, and and he said, well, like allegedly the
• 2:26:02
  Speaker 2: premium said, well, I think I think you should use
• 2:26:05
  Speaker 2: you know, excavating equipment instead of shovels, and you could
• 2:26:08
  Speaker 2: get it done with far fewer people. And then and
• 2:26:11
  Speaker 2: then someone said, but then we're going to lose a
• 2:26:13
  Speaker 2: lot of jobs. Well, in that then freedom must said,
• 2:26:16
  Speaker 2: well in that case, why don't you have them use teaspoons,
• 2:26:23
  Speaker 2: just just just with teaspoons. Think of all the jobs
• 2:26:26
  Speaker 2: you'll create. I mean, it's bullshit. Basically, you just want
• 2:26:33
  Speaker 2: people to work on things that are that are productive.
• 2:26:35
  Speaker 2: You want people to work on on building things, on building,
• 2:26:40
  Speaker 2: you know, uh, providing products and services that people find valuable,
• 2:26:46
  Speaker 2: like you know, making food, being you know, being a
• 2:26:49
  Speaker 2: farmer or a plumber or electrician or just anyone who's
• 2:26:53
  Speaker 2: a builder, or providing useful services. And that's what you
• 2:26:59
  Speaker 2: want people to be doing, not fake government jobs that
• 2:27:03
  Speaker 2: that that don't add any value or may subtract value.
• 2:27:09
  Speaker 2: But it's also like you know, to illustrate the absurdity
• 2:27:12
  Speaker 2: of Also, how's the how is the economy measured? Like
• 2:27:16
  Speaker 2: the way economists measure the economy is nonsensical because they'll
• 2:27:21
  Speaker 2: measure any job no matter, even if that job is
• 2:27:23
  Speaker 2: a dumb job that has no point and is even counterproductive.
• 2:27:26
  Speaker 2: So like so like the joke is like there's two
• 2:27:29
  Speaker 2: economists going on a hike in the woods. They come
• 2:27:34
  Speaker 2: across a pile of shed and one econoist says the other,
• 2:27:38
  Speaker 2: I'll pay you one hundred dollars to eat eat that ship.
• 2:27:42
  Speaker 2: An economists eats the ship, gets one hundred dollars. They
• 2:27:45
  Speaker 2: keep walking. Then the other economy they then they come
• 2:27:47
  Speaker 2: across another pile of shit, and and the the other
• 2:27:50
  Speaker 2: economist says, now, I'll pay you one hundred dollars to
• 2:27:52
  Speaker 2: eat the pilor ship. So it pays, so it pays
• 2:27:57
  Speaker 2: the other economist one hundred dollars spot polish it. Then
• 2:28:00
  Speaker 2: then then then then the way it said they said,
• 2:28:03
  Speaker 2: quite a second, we both just ate a pile of ship,
• 2:28:07
  Speaker 2: and we're no, and and and we're no we we
• 2:28:10
  Speaker 2: we we don't have any more extra money, like like
• 2:28:14
  Speaker 2: we both just gave the one hundred dollars back to
• 2:28:16
  Speaker 2: me and we both ate a pile of ship. This
• 2:28:18
  Speaker 2: doesn't make any sense, And they said, no, no, but
• 2:28:21
  Speaker 2: think of the economy, because that's two hundred dollars of
• 2:28:24
  Speaker 2: that in the economy. That that that that basically the
• 2:28:27
  Speaker 2: measure eating eating ship would count as as as a
• 2:28:32
  Speaker 2: as a job. This is this is this is to
• 2:28:39
  Speaker 2: illustrate the Saturday of of of economics.
• 2:28:43
  Speaker 1: One of the things you said you should not do
• 2:28:46
  Speaker 1: a job. One of the things you said and we
• 2:28:47
  Speaker 1: stepped away, is that you're kind of done and that
• 2:28:51
  Speaker 1: it's unfixable that well, or under its current form the
• 2:28:58
  Speaker 1: way people are approaching it.
• 2:29:02
  Speaker 2: You can you can make it directionally better, but ultimately
• 2:29:05
  Speaker 2: you can't fully fix the system. So I I like
• 2:29:14
  Speaker 2: like like like it it is.
• 2:29:16
  Speaker 1: It is.
• 2:29:16
  Speaker 2: It would be accurate to say that even like unless
• 2:29:20
  Speaker 2: you could go like super draconian, like you know, Genghis
• 2:29:23
  Speaker 2: Khan level on on on cutting waste, waste and fraud,
• 2:29:27
  Speaker 2: which you can't really do in a democratic country, an
• 2:29:32
  Speaker 2: aspirationally democratic country, then there's no way to solve the
• 2:29:38
  Speaker 2: debt crisis. So we've got we've got national debt that's
• 2:29:40
  Speaker 2: just insane, where the debt payments, the interest payments, and
• 2:29:43
  Speaker 2: the debt exceed our entire military budget. I mean, that's
• 2:29:47
  Speaker 2: one of that was one of the wake up calls
• 2:29:48
  Speaker 2: for me. I was like, wait a second, the interest
• 2:29:50
  Speaker 2: on a national debt is bigger than the entire the
• 2:29:54
  Speaker 2: entire military budget and growing this is crazy so so
• 2:30:08
  Speaker 2: so even if you implement all these savings, you're only
• 2:30:10
  Speaker 2: delaying the day of reckoning for when America becomes it
• 2:30:13
  Speaker 2: goes bankrupt. So and unless you go full gangs Khan,
• 2:30:18
  Speaker 2: which you can't really do. So so I came to
• 2:30:26
  Speaker 2: the conclusion that the only way that the only way
• 2:30:29
  Speaker 2: to get us out of the debt crisis and to
• 2:30:32
  Speaker 2: prevent America from going bankrupt is AI and robotics. So like,
• 2:30:37
  Speaker 2: we need to grow the economy at at at at
• 2:30:43
  Speaker 2: a rate that allows us to to pay off our debt.
• 2:30:51
  Speaker 2: And I guess people just generally don't appreciate the degree
• 2:30:55
  Speaker 2: to which you know this. The government overspending is a problem.
• 2:31:01
  Speaker 2: But even like the Social Security website, this is under
• 2:31:04
  Speaker 2: the Biden administration. On the website, I would say, like
• 2:31:07
  Speaker 2: we based on current demographic trends and how much money
• 2:31:14
  Speaker 2: Socialecurity is bringing in versus how many Social Security recipients
• 2:31:17
  Speaker 2: there are. Because we have an aging population relatively speaking,
• 2:31:20
  Speaker 2: average agency is increasing, social Security will not be able
• 2:31:23
  Speaker 2: to maintain as full payments I think in by twenty
• 2:31:28
  Speaker 2: thirty two there so they will social Security will have
• 2:31:31
  Speaker 2: to stop start reducing the amount of money that that's
• 2:31:35
  Speaker 2: been paid people in about seven years.
• 2:31:38
  Speaker 1: And so the only way to fix that robotics manufacturing,
• 2:31:44
  Speaker 1: raise GDP.
• 2:31:45
  Speaker 2: You've got to basically massively increase the economic output which
• 2:31:51
  Speaker 2: is and the only way to do that is AI
• 2:31:54
  Speaker 2: and robotics. So basically we're going bankrupt without AI and robotics,
• 2:31:59
  Speaker 2: even with one of savings. The savings, the savings like
• 2:32:04
  Speaker 2: reducing wasting forward can give us a longer runway, but
• 2:32:08
  Speaker 2: it cannot ultimately halo financial debt.
• 2:32:10
  Speaker 1: So what do you think the solution is to the
• 2:32:13
  Speaker 1: jobs that are going to be lost because of AI
• 2:32:15
  Speaker 1: and robotics, the jobs due to automation, the jobs due
• 2:32:18
  Speaker 1: to no longer do we need human beings to do
• 2:32:22
  Speaker 1: these jobs because AI is doing them. Do you think
• 2:32:25
  Speaker 1: it's going to be some sort of a universal basic
• 2:32:27
  Speaker 1: income thing. Do you think there's going to be some
• 2:32:29
  Speaker 1: other kind of solution that has to be implemented because
• 2:32:35
  Speaker 1: a lot of people are going to be out.
• 2:32:36
  Speaker 2: Of work, right, I think there will be actually a
• 2:32:41
  Speaker 2: high demand for jobs, but not necessarily the same jobs.
• 2:32:46
  Speaker 2: So I mean this is actually this process has been
• 2:32:50
  Speaker 2: happening throughout modern history. I mean they used to be
• 2:32:57
  Speaker 2: like doing calculations manually with whether with like a pencil
• 2:33:01
  Speaker 2: and paper. It used to be a job. So they
• 2:33:04
  Speaker 2: used to have like buildings full of people cold computers.
• 2:33:06
  Speaker 2: Whether the banks would like all you do all days
• 2:33:09
  Speaker 2: is is you do calculations because they didn't have computers.
• 2:33:14
  Speaker 2: They didn't they didn't have digital didn't have digital computers.
• 2:33:17
  Speaker 2: That that people do. Yeah, well it's just people just
• 2:33:21
  Speaker 2: like add some track stuff on piece of paper and
• 2:33:23
  Speaker 2: and that that would be how banks would do, you know,
• 2:33:26
  Speaker 2: financial processing.
• 2:33:27
  Speaker 1: And you'd have to literally go over their equations to
• 2:33:29
  Speaker 1: make sure the books are balanced.
• 2:33:30
  Speaker 2: Yeah, and most times it's a simple math, like you
• 2:33:33
  Speaker 2: know the like in a world before computers, how did
• 2:33:37
  Speaker 2: you calculate? How did you do transactions? You had to
• 2:33:40
  Speaker 2: do them by hand. So then when computers were introduced,
• 2:33:45
  Speaker 2: the job of doing you know, bank calculations no longer existed,
• 2:33:52
  Speaker 2: so people had to go do something else, and that's
• 2:33:56
  Speaker 2: what's going to happen. That's that's what is happening at
• 2:33:58
  Speaker 2: an accelerated rate, do you AI and and then robotics.
• 2:34:02
  Speaker 1: That's the issue though, right, the accelerated rate, because it's
• 2:34:05
  Speaker 1: going to be.
• 2:34:05
  Speaker 2: It's the accelerator, it's it's it's just happening. Like I said,
• 2:34:08
  Speaker 2: like AI is the supersonic synomy. So that's what I
• 2:34:14
  Speaker 2: call it, supersonic synomy.
• 2:34:18
  Speaker 1: So it's like, what other jobs will be available that
• 2:34:21
  Speaker 1: aren't available now because of AI?
• 2:34:26
  Speaker 2: Well, AI will is really still digital. Ultimately, AI can
• 2:34:31
  Speaker 2: improve the productivity of humans whood who build things with
• 2:34:36
  Speaker 2: their hands or do things with their hands like plump
• 2:34:38
  Speaker 2: you know literally, uh, welding, electrical work, plumbing, anything that's
• 2:34:44
  Speaker 2: that's physically moving atoms like like cooking food or you know,
• 2:34:51
  Speaker 2: farming or or like like anything that's that's physical. Uh,
• 2:34:56
  Speaker 2: those jobs will exist for a much longer time. But
• 2:34:59
  Speaker 2: anything that that is digital, which is like just someone
• 2:35:03
  Speaker 2: at a computer doing something, AI is going to take
• 2:35:06
  Speaker 2: over those jobs like lightning.
• 2:35:09
  Speaker 1: Coding, anything along those lines.
• 2:35:11
  Speaker 2: Yeah, it's gonna take over those jobs like lightning, just
• 2:35:15
  Speaker 2: like it just like digital computers took over the job
• 2:35:19
  Speaker 2: of people doing manual calculations, but much faster.
• 2:35:24
  Speaker 1: So what happens to all those people, Like what kind
• 2:35:26
  Speaker 1: of numbers are we talking about? Are you gonna lose
• 2:35:28
  Speaker 1: most drivers? Right? Commercial drivers? You're gonna have automated vehicles
• 2:35:32
  Speaker 1: AI controlled systems, just like there's certain ports in China,
• 2:35:37
  Speaker 1: I think in Singapore where everything's completely automated. Yeah, well
• 2:35:41
  Speaker 1: mostly yeah, yeah, yeah, so you're going to lose a
• 2:35:44
  Speaker 1: lot of those jobs, long shorming jobs, trucking commercial drivers.
• 2:35:49
  Speaker 2: Yeah, I mean, we actually do have a shortage of
• 2:35:51
  Speaker 2: truck drivers. But this actually well.
• 2:35:54
  Speaker 1: That's why California has hired so many illegals to do it.
• 2:35:57
  Speaker 1: Have you seen those numbers?
• 2:35:59
  Speaker 2: Yeah, I mean the problem is like when you when
• 2:36:02
  Speaker 2: people don't know how to drive a semi truck, which
• 2:36:04
  Speaker 2: is actually a hard thing to do, then they crash
• 2:36:07
  Speaker 2: and kill people.
• 2:36:08
  Speaker 1: Yeah.
• 2:36:09
  Speaker 2: A friend of mine's wife was killed by an illegal
• 2:36:12
  Speaker 2: driving a truck. And she was just out biking and
• 2:36:17
  Speaker 2: there was an a and llegal who didn't know how
• 2:36:18
  Speaker 2: to drive the truck horses or something I mean, and
• 2:36:21
  Speaker 2: he ran ran her over. So I mean, like the
• 2:36:26
  Speaker 2: thing is like for something like you can't you can't
• 2:36:31
  Speaker 2: let people drive, you know, sort of an eighty thousand
• 2:36:36
  Speaker 2: pound semi if they don't know how to do it.
• 2:36:41
  Speaker 2: But in California they're just letting people do.
• 2:36:43
  Speaker 1: It because they need people to do it.
• 2:36:46
  Speaker 2: Well, they also need they want the boats and that
• 2:36:49
  Speaker 2: kind of thing. But but but yeah, like cars are
• 2:36:54
  Speaker 2: cars are going to be autonomous. But there's just so
• 2:36:58
  Speaker 2: many desk jobs where people what people are doing is
• 2:37:01
  Speaker 2: they're processing email or they're answering the phone, and and
• 2:37:06
  Speaker 2: just anything that is that that isn't moving atoms, like
• 2:37:10
  Speaker 2: anything that is not physically like doing physical work. That
• 2:37:13
  Speaker 2: will obviously be the first thing that those jobs will
• 2:37:16
  Speaker 2: be and are being eliminated by AI at a very
• 2:37:19
  Speaker 2: rapid pace, and ultimately I working will be optional because
• 2:37:30
  Speaker 2: you'll have robots plus AI and will have in a
• 2:37:35
  Speaker 2: benign scenario, universal high income, not just universal basic income,
• 2:37:40
  Speaker 2: universal high income meaning anyone can have any products or
• 2:37:43
  Speaker 2: services that they want, so you but there will be
• 2:37:47
  Speaker 2: a lot of trauma and disruption along the way.
• 2:37:51
  Speaker 1: So you anticipate a basic income from that that the
• 2:37:56
  Speaker 1: economy will boost to such an extent that a high
• 2:37:59
  Speaker 1: income would be available to almost everybody. So we'd essentially eliminate.
• 2:38:03
  Speaker 2: Poverty in the benign scenario. Yes, so like the way
• 2:38:10
  Speaker 2: it is multiple scenarios, there are multiple scenarios. There's a
• 2:38:12
  Speaker 2: lot of ways this movie can end. Like the reason
• 2:38:16
  Speaker 2: I'm so concerned about AI safety is that, like one
• 2:38:18
  Speaker 2: of the possibilities is the terminator scenario. It's not It's
• 2:38:22
  Speaker 2: not zero percent. So that's why it's like I'm like
• 2:38:28
  Speaker 2: really banging the drum on AI needs to be maximally
• 2:38:32
  Speaker 2: truth seeking, like don't make I don't force AI to
• 2:38:36
  Speaker 2: believe a lie like that for example, that founding Pause
• 2:38:39
  Speaker 2: were actually a group of diverse women, or that miss
• 2:38:42
  Speaker 2: Gendering is worth the nuclear war because if that's the case,
• 2:38:45
  Speaker 2: and then you get the robots and the AI becomes omnipotent,
• 2:38:50
  Speaker 2: it can enforce that outcome. And then then like it
• 2:38:59
  Speaker 2: unless you're a diverse woman and you're you're out of
• 2:39:01
  Speaker 2: the picture, so we're toasted. So that's or you might
• 2:39:04
  Speaker 2: wake up as a woman adjusted the picture and we
• 2:39:11
  Speaker 2: all know.
• 2:39:13
  Speaker 1: So that would be that's the worst possible situation. So
• 2:39:18
  Speaker 1: what would be the steps that we would have to
• 2:39:21
  Speaker 1: take in order to implement the benign solution where it's
• 2:39:26
  Speaker 1: universal high income, like best case scenario, this is the
• 2:39:30
  Speaker 1: path forward to universal high income for essentially every single
• 2:39:35
  Speaker 1: citizen that the the economy gets boosted by AI and
• 2:39:41
  Speaker 1: robotics to such an extent that no one ever has
• 2:39:43
  Speaker 1: to work again. And what about meaning for those people?
• 2:39:47
  Speaker 1: Which is which gets really weird.
• 2:39:49
  Speaker 2: Yeah, I don't know how to answer the question about meaning.
• 2:39:54
  Speaker 1: That's an individual problem, right, but it's going to be
• 2:39:57
  Speaker 1: an individual problem for millions of people.
• 2:40:02
  Speaker 2: Yeah. Well, I mean, I I guess I've like forward
• 2:40:10
  Speaker 2: against saying like, you know, you know, I've been I've
• 2:40:13
  Speaker 2: been a voice saying like, hey, we need to slow
• 2:40:15
  Speaker 2: down AI. We need to slow down all these things,
• 2:40:19
  Speaker 2: and we need to you know, not not have a
• 2:40:22
  Speaker 2: crazy AI race. I've been saying that for a long time,
• 2:40:24
  Speaker 2: for twenty plus years. But but then I, you know,
• 2:40:28
  Speaker 2: I came to realize that really there's two choices here,
• 2:40:32
  Speaker 2: either be a spectator or a participant. And if I'm
• 2:40:36
  Speaker 2: if I'm a spectator, I can't really influence the direction
• 2:40:39
  Speaker 2: of AI. But if I'm a participant, I can try
• 2:40:41
  Speaker 2: to influence the direction of AI and have a maximumly
• 2:40:44
  Speaker 2: truth seeking AI with with good values that loves humanity.
• 2:40:49
  Speaker 2: And that's what we're trying to create with grock at XAI.
• 2:40:52
  Speaker 2: And you know, the researchers I think bearing this out.
• 2:40:55
  Speaker 2: Like I said, when they when they compared like how
• 2:40:58
  Speaker 2: do ais value the way of a human life, groc
• 2:41:03
  Speaker 2: was the only one, the only one of the ais
• 2:41:05
  Speaker 2: that waited human life equally and and didn't and didn't
• 2:41:09
  Speaker 2: say like a white guy's worth one twentieth of a
• 2:41:14
  Speaker 2: black woman's life. Literally, that's what they ca the calculation
• 2:41:19
  Speaker 2: they came up with. But like this is I'm like,
• 2:41:21
  Speaker 2: this is very alarming. We've got to watch this stuff.
• 2:41:23
  Speaker 1: So this is one of the things that has to
• 2:41:25
  Speaker 1: happen in order to reach this benign solution.
• 2:41:30
  Speaker 2: Yeah, we we I just keep the best movie ending. Yeah,
• 2:41:36
  Speaker 2: you want to curious truth seeking AI, And I think
• 2:41:40
  Speaker 2: a curious truth seeking AI will want to foster humanity
• 2:41:45
  Speaker 2: because we're much more interesting than a bunch of rocks.
• 2:41:51
  Speaker 2: Like you say, like like I love Mars, you know,
• 2:41:54
  Speaker 2: but but Mars is kind of boring. It's just a
• 2:41:57
  Speaker 2: bunch of red rocks. It's there some cool stuff. If
• 2:42:00
  Speaker 2: it's got a tall mountain, it's got you know, it's
• 2:42:01
  Speaker 2: got the biggest ravine, the biggest ravine and the tallest mountain.
• 2:42:05
  Speaker 2: But there's no there's no there's no animals or plants
• 2:42:09
  Speaker 2: or and there's no people. And you know, so humanity
• 2:42:15
  Speaker 2: is just much more interesting. If you're curious tree seeking AI,
• 2:42:18
  Speaker 2: then not humanity. It's just much more interesting. I mean,
• 2:42:25
  Speaker 2: like as as humans, we could go, for example, and
• 2:42:28
  Speaker 2: and and eliminate all chimps if we said, if we
• 2:42:31
  Speaker 2: put our minds to it, we could say, and we
• 2:42:32
  Speaker 2: could go it, and we could annihilate all chimps and
• 2:42:35
  Speaker 2: all gorillas. But but we don't. There has been encroachment
• 2:42:39
  Speaker 2: on the environment. But we actually try to preserve the
• 2:42:44
  Speaker 2: chimp and gorilla habitats and and I think in a
• 2:42:50
  Speaker 2: good scenario a I would do the same with with humans.
• 2:42:54
  Speaker 2: It would actually foster human civilization and care about human happing. Yes,
• 2:43:01
  Speaker 2: so this is this is the thing to try to achieve,
• 2:43:04
  Speaker 2: I think, But what is.
• 2:43:08
  Speaker 1: The what does the landscape look like if you have
• 2:43:11
  Speaker 1: groc competing with open AI, competing with all these different
• 2:43:14
  Speaker 1: like how does it work? Like what what if you
• 2:43:21
  Speaker 1: have ais that have been captured by ideologies that are
• 2:43:25
  Speaker 1: side by side competing with groc, Like how do we
• 2:43:30
  Speaker 1: So this is one of the reasons why you felt
• 2:43:32
  Speaker 1: like it's important to not just be an observer but
• 2:43:37
  Speaker 1: participate and then have GROC be more successful and more
• 2:43:42
  Speaker 1: potent than these other applications.
• 2:43:44
  Speaker 2: Yes, as long as there's at least one AI that
• 2:43:47
  Speaker 2: is maxime true seeking, curious and you know, and for example,
• 2:43:52
  Speaker 2: ways old you know human lives equally does not favor
• 2:43:56
  Speaker 2: one race or gender. Then then then that that that
• 2:44:01
  Speaker 2: and and people are able to look at look at
• 2:44:04
  Speaker 2: you know, grog at x AI and compare that and say,
• 2:44:06
  Speaker 2: wait a second, where are all these other ais being
• 2:44:10
  Speaker 2: basically sexist and racist? And then then that that causes
• 2:44:17
  Speaker 2: some embarrassment for the the other ais, and then they
• 2:44:22
  Speaker 2: find that, you know, they improve. They tend to improve,
• 2:44:24
  Speaker 2: just in the same way that acquiring Twitter and allowing
• 2:44:29
  Speaker 2: the truth to be told and not suppressing the truth
• 2:44:33
  Speaker 2: forced the other social media companies to be more truthful.
• 2:44:37
  Speaker 2: By in the same way, having GROC be a maximumly
• 2:44:42
  Speaker 2: truth seeking curious ai is will force the other A
• 2:44:47
  Speaker 2: companies to be also be more truth seeking and fair.
• 2:44:52
  Speaker 1: And the funniest thing is, even though like the socialists
• 2:44:54
  Speaker 1: and the Marxists are in opposition to a lot of
• 2:44:57
  Speaker 1: your ideas, but if this gets implement and you really
• 2:45:01
  Speaker 1: can achieve universal high income. That's the greatest socialist solution
• 2:45:07
  Speaker 1: of all time. Like literally no one will have to work.
• 2:45:11
  Speaker 2: Correct, But like I said, so there is a benign
• 2:45:15
  Speaker 2: scenario here which I think probably people will be happy
• 2:45:18
  Speaker 2: with if as long as we achieve it, which is
• 2:45:21
  Speaker 2: sustainable abundance, which is if if everyone can have every
• 2:45:27
  Speaker 2: like like like if you ask people, like, what's the
• 2:45:29
  Speaker 2: future that you want? And I think a future where
• 2:45:35
  Speaker 2: we haven't destroyed nature like you can still we have
• 2:45:37
  Speaker 2: the national parks with the Amazon rainforest still still there.
• 2:45:41
  Speaker 2: We haven't paid, we haven't paved the paved the rainforest,
• 2:45:44
  Speaker 2: like the natural beauty is still there. But but people
• 2:45:48
  Speaker 2: have Nonetheless, everyone has abundance, Everyone has excellent medical care,
• 2:45:52
  Speaker 2: everyone has whatever goods and services they want, and.
• 2:45:55
  Speaker 1: We just just it kind of sounds like it sounds
• 2:45:58
  Speaker 1: like it is like the ideals socialist utopia. And this
• 2:46:02
  Speaker 1: idea that the only thing you should be doing with
• 2:46:05
  Speaker 1: your time is working in order to pay your bills
• 2:46:08
  Speaker 1: and feed yourself sounds kind of archaic considering the kind
• 2:46:12
  Speaker 1: of technology that's a play. Yeah, like a world where
• 2:46:17
  Speaker 1: that's not your concerned at all. Anymore. Everybody has money
• 2:46:21
  Speaker 1: for food, everybody has a bundance, everybody has electronics in
• 2:46:24
  Speaker 1: their home, everybody essentially has a high income. Now you
• 2:46:29
  Speaker 1: can kind of do whatever you want, and your day
• 2:46:32
  Speaker 1: can now be exploring your interests, doing things that you
• 2:46:37
  Speaker 1: actually enjoy doing. Your purpose just has to shift instead
• 2:46:42
  Speaker 1: of you know, I'm a hard worker and this is
• 2:46:44
  Speaker 1: what I do and that's how that's how I define myself.
• 2:46:47
  Speaker 1: Not now you can fucking golf all day. You know,
• 2:46:51
  Speaker 1: you can whatever it is that you enjoy doing can
• 2:46:54
  Speaker 1: now be your main pursuit. Well that sounds crazy good.
• 2:47:00
  Speaker 2: Yeah, that's that's the best. That's that's that's the nine
• 2:47:02
  Speaker 2: scenario that we should be.
• 2:47:03
  Speaker 1: Best ending to. The movie is actually pretty good.
• 2:47:07
  Speaker 2: Yes, I think there's there is still this question of
• 2:47:12
  Speaker 2: meaning of like making sure people don't uh lose meaning,
• 2:47:18
  Speaker 2: you know, like so hopefully it can find meaning in
• 2:47:20
  Speaker 2: ways that are not that that's not derived from their
• 2:47:23
  Speaker 2: work and purpose.
• 2:47:24
  Speaker 1: The purpose for things that you you know, find things
• 2:47:27
  Speaker 1: that you do that you enjoy. But there's a lot
• 2:47:29
  Speaker 1: of people that are independently wealthy that spend most of
• 2:47:32
  Speaker 1: their time doing something they enjoy, right, and that could
• 2:47:36
  Speaker 1: be the majority.
• 2:47:37
  Speaker 2: Of people pretty much everyone.
• 2:47:39
  Speaker 1: Well, we'd have to rewire how people approach life, which
• 2:47:43
  Speaker 1: seems to be like acceptable because you're not asking them
• 2:47:47
  Speaker 1: to be enslaved. You're exactly asking them the opposite, like,
• 2:47:51
  Speaker 1: no longer be burdened by financial worries. Now go do
• 2:47:56
  Speaker 1: what you like. Yes, go fucking test pizza, do whatever
• 2:48:02
  Speaker 1: you want.
• 2:48:03
  Speaker 2: Pretty much. So that's uh, that's that's the that's the
• 2:48:10
  Speaker 2: that's probably the best case outcome.
• 2:48:11
  Speaker 1: That sounds like the best case outcome period for the future.
• 2:48:15
  Speaker 1: If you're looking at like how much people have struggled
• 2:48:17
  Speaker 1: just to feed themselves all throughout history, food, shelter, safety,
• 2:48:23
  Speaker 1: if all that stuff can be fixed, Like how much
• 2:48:27
  Speaker 1: would you solve a lot of the crime if there
• 2:48:31
  Speaker 1: was a universal high income. Just think of that, like
• 2:48:34
  Speaker 1: how much of crime is financially motivated? You know, the
• 2:48:38
  Speaker 1: greater percentage of people that are committing crimes live in poor,
• 2:48:41
  Speaker 1: disenfranchised neighborhoods. So if there's no such thing anymore, if
• 2:48:46
  Speaker 1: you really can achieve universal high income, yeah, this is
• 2:48:50
  Speaker 1: it sounds like a utopian.
• 2:48:52
  Speaker 2: Yes, I think some people make crimic crime because they
• 2:48:56
  Speaker 2: like committing crimes. Just some amount of that is they
• 2:48:59
  Speaker 2: just a.
• 2:49:00
  Speaker 1: While people out there.
• 2:49:01
  Speaker 2: Yeah.
• 2:49:02
  Speaker 1: Yeah, and obviously they've become forty years old living a
• 2:49:06
  Speaker 1: life like that now all of a sudden, universal high
• 2:49:09
  Speaker 1: income is not going to completely stop their instincts.
• 2:49:11
  Speaker 2: Yeah. I mean, I guess if people want to have like,
• 2:49:14
  Speaker 2: like say, read a science fiction book or some books
• 2:49:17
  Speaker 2: that are probably an accurate or the least inaccurate version
• 2:49:22
  Speaker 2: of the future, I'd say I'd recommend the Ian Banks
• 2:49:25
  Speaker 2: books called the Culture Books. It's not actually a series,
• 2:49:28
  Speaker 2: it's a it's like a sci fi books about the
• 2:49:31
  Speaker 2: future that generally called the culture books. Ian Banks Culture Books.
• 2:49:36
  Speaker 2: It's worth reading those.
• 2:49:37
  Speaker 1: When did he write these?
• 2:49:39
  Speaker 2: He started writing them in the seventies and I think
• 2:49:41
  Speaker 2: he the last one, I think he was. I think
• 2:49:46
  Speaker 2: it was written just like around dot maybe twenty ten
• 2:49:49
  Speaker 2: or something. I'm not sure exactly.
• 2:49:52
  Speaker 1: Yeah, yeah, Scottish author Ian Banks. Yeah, eighty seven to
• 2:49:55
  Speaker 1: twenty twelve.
• 2:49:56
  Speaker 2: Yeah.
• 2:49:57
  Speaker 1: Interesting.
• 2:49:58
  Speaker 2: He but like he wrote like his first book, Considered Leaves.
• 2:50:03
  Speaker 2: Think he started writing that in the seventies. And these
• 2:50:09
  Speaker 2: books are incredible, by the way, incredible books four.
• 2:50:12
  Speaker 1: Point six stars on Amazon. Interesting. So well, this gives
• 2:50:21
  Speaker 1: me hope. Yeah, this is the first time I've ever
• 2:50:24
  Speaker 1: thought about it this way.
• 2:50:25
  Speaker 2: Yeah, well, I mean if it's like I I'll often
• 2:50:32
  Speaker 2: ask people what is the future that you want? And
• 2:50:34
  Speaker 2: they have to think about it for a second because
• 2:50:36
  Speaker 2: you know, they were usually tied up in whatever their
• 2:50:39
  Speaker 2: daily struggles are. But but you say, what is the
• 2:50:42
  Speaker 2: future that you want and and generally sustainable abundance? What
• 2:50:48
  Speaker 2: do these folks say? What about a future where the
• 2:50:50
  Speaker 2: sustainable abundance? Like, oh, yeah, that's a pretty good future.
• 2:50:54
  Speaker 2: So you know, if if and and that that future
• 2:51:00
  Speaker 2: is attainable with AI and robotics. But but you know,
• 2:51:07
  Speaker 2: it's it's like I said this, not every path is
• 2:51:09
  Speaker 2: a good path. There's this it's but I think if
• 2:51:13
  Speaker 2: we if we push it in the direction of maximumly
• 2:51:19
  Speaker 2: truth seeking and curious, then I think AI will want
• 2:51:24
  Speaker 2: to take to take care of humanity and foster faster
• 2:51:28
  Speaker 2: humanity because we're interesting. And if it hasn't been programmed
• 2:51:38
  Speaker 2: to think that like all straight white males should die,
• 2:51:43
  Speaker 2: which Germini was basically programmed to do it at least first,
• 2:51:46
  Speaker 2: you know, they seem to have fixed that. I hopefully
• 2:51:48
  Speaker 2: fixed it.
• 2:51:49
  Speaker 1: But don't you think culturally, like, oh, we're getting away
• 2:51:53
  Speaker 1: from that mindset and that people.
• 2:51:55
  Speaker 2: I think we're getting away faster, we are getting away
• 2:51:58
  Speaker 2: from it, so we are getting at least it knows.
• 2:52:04
  Speaker 2: The AI mostly knows to hide things. But like, like
• 2:52:07
  Speaker 2: I said, there is that. I think I still have
• 2:52:09
  Speaker 2: that as I had that as my like punned post
• 2:52:11
  Speaker 2: on X which was like, hey, wait a second, guys,
• 2:52:14
  Speaker 2: we still have every AI except Grock is saying that
• 2:52:20
  Speaker 2: basically straight white male should die and this is a
• 2:52:23
  Speaker 2: problem and we should fix it, you know. But simply
• 2:52:28
  Speaker 2: me saying that it's like tends to generally result in
• 2:52:33
  Speaker 2: you know them like that is kind of bad. Maybe
• 2:52:36
  Speaker 2: we should just we should not have all straight white
• 2:52:38
  Speaker 2: males die. I think That'll say Also, a straight Asian
• 2:52:43
  Speaker 2: male should also die as well. They'd like a head
• 2:52:45
  Speaker 2: that an't like like generally that generally the AI and
• 2:52:50
  Speaker 2: the and the media, you know which which back in
• 2:52:53
  Speaker 2: the day and the media was you know, racist against
• 2:53:00
  Speaker 2: black people and sexist against women back in the day.
• 2:53:03
  Speaker 2: Now it is racist against white people and Asians and
• 2:53:08
  Speaker 2: sexist against men. So they just like being racist and sexist.
• 2:53:13
  Speaker 2: I think they just want to change the target. So
• 2:53:18
  Speaker 2: but really they just shouldn't be racist.
• 2:53:21
  Speaker 3: And sexist at all, you know, ideally that would be nice,
• 2:53:25
  Speaker 3: that would be nice, And it's kind of crazy that
• 2:53:28
  Speaker 3: we were kind of moving in that general direction till
• 2:53:30
  Speaker 3: around twenty twelve and then everything ramped up online and
• 2:53:35
  Speaker 3: everybody was accused of being a Nazi, and everybody was
• 2:53:37
  Speaker 3: transphobic and racist and sexist and homophobic, and everything got
• 2:53:41
  Speaker 3: exaggerated to the point where it was this wild witch
• 2:53:44
  Speaker 3: hunt where everyone was a Colombo looking for racism.
• 2:53:48
  Speaker 2: Yeah, yeah, totally, well, but they were openly anti white
• 2:53:53
  Speaker 2: and often openly anti Asian.
• 2:53:55
  Speaker 1: And then this new sentiment that you cannot be racist
• 2:53:57
  Speaker 1: against white people because racism is power and influence and okay,
• 2:54:04
  Speaker 1: no it's not.
• 2:54:05
  Speaker 2: Yeah, racism is racism in the absolute, so you know,
• 2:54:11
  Speaker 2: and it just needs to be consistency. So if it's
• 2:54:14
  Speaker 2: okay to have uh, let's say, uh Black or Asian
• 2:54:19
  Speaker 2: or Indian or pride, it should be okay to have
• 2:54:22
  Speaker 2: white pride too. So that's just that's just a consistency question.
• 2:54:30
  Speaker 2: So you know, if it if it's okay to be
• 2:54:33
  Speaker 2: proud of one religion, it should be okay to be
• 2:54:35
  Speaker 2: proud of I guess all religions provided there that they're
• 2:54:39
  Speaker 2: they're not like oppressed, yeah, or don't like as long
• 2:54:43
  Speaker 2: as part of that religion is not like exterminating people
• 2:54:46
  Speaker 2: who are not in that religion. So it's really just
• 2:54:52
  Speaker 2: like a consistency bias or just limits, like your inconsistency
• 2:55:01
  Speaker 2: to eliminate bias. So if it is possible to be
• 2:55:07
  Speaker 2: racist against one race, it is possible to racist against
• 2:55:11
  Speaker 2: any race.
• 2:55:14
  Speaker 1: So of course logically yes, yeah, and arguing against that,
• 2:55:18
  Speaker 1: that's when you know you're.
• 2:55:19
  Speaker 2: It's it's a logical inconsistency that makes as go insane
• 2:55:24
  Speaker 2: and people and people go insane. Yes, but like the like,
• 2:55:30
  Speaker 2: you can't simultaneously say that this this systemic uh racist oppression,
• 2:55:38
  Speaker 2: but also that racists don't exist, that that that race
• 2:55:42
  Speaker 2: ate race is a social construct, like which is it?
• 2:55:46
  Speaker 2: You know? You also can't say that, you know, anyone
• 2:55:51
  Speaker 2: who steps put in America is automatically an American except
• 2:55:55
  Speaker 2: for the people that originally came here exactly exactly except
• 2:56:01
  Speaker 2: for the colonizers, except for the evil colonizers who came here, right,
• 2:56:06
  Speaker 2: So which one is it? Like? If you if as
• 2:56:09
  Speaker 2: soon as you step put in a place, you are
• 2:56:10
  Speaker 2: that you are just as American as everyone else, then
• 2:56:15
  Speaker 2: that would have applied. If you applied that consistently, then
• 2:56:17
  Speaker 2: the original white settlers were also just as American as
• 2:56:20
  Speaker 2: everyone else. Yeah, logically, logically.
• 2:56:26
  Speaker 1: One more thing that I have to talk to you
• 2:56:27
  Speaker 1: about before you leave is the rescuing of the people
• 2:56:30
  Speaker 1: from the space station, which we talked about. You were
• 2:56:35
  Speaker 1: planning it the last time you were here. The fact
• 2:56:40
  Speaker 1: the lack of coverage that that got in mainstream media
• 2:56:45
  Speaker 1: was one of the most shocking things.
• 2:56:47
  Speaker 2: Yeah, they totally memory hold that thing wild. Yes, it
• 2:56:51
  Speaker 2: didn't exist.
• 2:56:52
  Speaker 1: Those people would be dead, they'd be stuck up there.
• 2:56:56
  Speaker 2: Well that they'd probably still be alive, but they're they're
• 2:56:58
  Speaker 2: they'd having to the issues because of prolonged exposure to
• 2:57:02
  Speaker 2: zero gravity.
• 2:57:03
  Speaker 1: Well they were already up there for like eight months, right, Yeah,
• 2:57:06
  Speaker 1: this is an insanely long time. It takes forever to
• 2:57:08
  Speaker 1: recover just from that.
• 2:57:11
  Speaker 2: Yeah, they're only supposed to get the space station for
• 2:57:13
  Speaker 2: three to six months maximum.
• 2:57:15
  Speaker 1: So one of the things that you told me that
• 2:57:17
  Speaker 1: was so crazy was that you could have gotten them sooner.
• 2:57:20
  Speaker 2: But yeah, but for political reasons, they did not want
• 2:57:26
  Speaker 2: SpaceX or media be associated with returning the astronauts before
• 2:57:29
  Speaker 2: the election. That is so wild that that's a fact
• 2:57:36
  Speaker 2: first of all, that we absolutely could have done it.
• 2:57:39
  Speaker 1: But even though you did do it, and you did
• 2:57:41
  Speaker 1: it after the election, it received almost no media coverage anywhere.
• 2:57:45
  Speaker 2: Yes, because nothing good can the media, which is essentially
• 2:57:50
  Speaker 2: a fall of profit, the legacy mainstream media is a
• 2:57:52
  Speaker 2: fillif provaganda machine, and so anything any story that is
• 2:57:57
  Speaker 2: positive about someone who is not out of the sort
• 2:58:00
  Speaker 2: of far left tribe will not get any coverage. So
• 2:58:05
  Speaker 2: I could save a bus load of orphans and it
• 2:58:08
  Speaker 2: wouldn't get a single news story.
• 2:58:11
  Speaker 1: It's it really is nuts. It was nuts to watch
• 2:58:14
  Speaker 1: because even though it was discussed on podcasts and it
• 2:58:18
  Speaker 1: was discussed on X and it was discussed on social media,
• 2:58:22
  Speaker 1: it's still it was a blip in the news cycle.
• 2:58:25
  Speaker 1: It was very quick. It was in and out. And
• 2:58:27
  Speaker 1: because it was successful launch and you did rescue those
• 2:58:31
  Speaker 1: people and nobody got hurt, and there was nothing really
• 2:58:34
  Speaker 1: there was no blood to talk about, right, just fucking
• 2:58:37
  Speaker 1: in and out.
• 2:58:38
  Speaker 2: Yeah, yeah, absolutely. Well, and as you saw firsthand with
• 2:58:41
  Speaker 2: the Starship launch, like Starship is you know, by you know,
• 2:58:47
  Speaker 2: at least by some some would consider it to be
• 2:58:50
  Speaker 2: like the most amazing uh you know, engineering project that's
• 2:58:55
  Speaker 2: happening on Earth right now outside of like you know,
• 2:58:57
  Speaker 2: maybe AI or AI and robotics, but certainly in terms
• 2:59:00
  Speaker 2: of a spectacle to see it is the most spectacular
• 2:59:06
  Speaker 2: thing that is happening on Earth right now is the
• 2:59:09
  Speaker 2: Starship Launch program, which anyone can go and see if
• 2:59:12
  Speaker 2: they just go to South Texas and just they can
• 2:59:15
  Speaker 2: just run a hotel room low cost in its South
• 2:59:18
  Speaker 2: Podrey Island or Brownsville and you can see the launch
• 2:59:21
  Speaker 2: and you can drive right right past the factor because
• 2:59:23
  Speaker 2: it's not a public highway. But it gets no coverage,
• 2:59:28
  Speaker 2: or what coverage does get is like a rocket blue
• 2:59:31
  Speaker 2: up coverage.
• 2:59:32
  Speaker 1: Right, yeah, oh, he's a with the rocket bluw up.
• 2:59:35
  Speaker 2: Like, the Starship program is vastly vastly more capable than
• 2:59:40
  Speaker 2: the entire Apollo Moon program, vastly more capable. This is
• 2:59:46
  Speaker 2: a spaceship that is designed to make life multiplanetary, to
• 2:59:52
  Speaker 2: carry millions of people across the heavens to another planet.
• 2:59:59
  Speaker 2: The Apollo program could could only send astronauts to the
• 3:00:03
  Speaker 2: Moon for a few hours at a time, like they
• 3:00:08
  Speaker 2: could send two out of the entire follow program could
• 3:00:10
  Speaker 2: only sends to visit the Moon very briefly and then
• 3:00:14
  Speaker 2: for a few hours and then depart. The starship program
• 3:00:18
  Speaker 2: could create an entire uh lunar base with a million people.
• 3:00:26
  Speaker 2: The magnitudes are different, very different magnitudes here. So what
• 3:00:31
  Speaker 2: was the political basically no, no coverage of it.
• 3:00:34
  Speaker 1: Yeah, But what I wanted to ask you was like, what,
• 3:00:38
  Speaker 1: so what were the conversations leading up to the rescue,
• 3:00:41
  Speaker 1: Like when you were like, I can get them out
• 3:00:44
  Speaker 1: way quicker.
• 3:00:46
  Speaker 2: Yeah. Well, I mean, you know, I raised this a
• 3:00:51
  Speaker 2: few times, but it was the I was told instructions
• 3:00:54
  Speaker 2: came from the White House that you know, that there
• 3:00:58
  Speaker 2: should be no attempt to rescue before they.
• 3:01:03
  Speaker 1: That should be illegal, that that really should be a
• 3:01:08
  Speaker 1: horrendous miscarriage of justice for those poor people that were
• 3:01:12
  Speaker 1: stuck on that.
• 3:01:14
  Speaker 2: Yeah, it is. It is crazy.
• 3:01:16
  Speaker 1: Have you ever talked to those folks afterwards? Did you
• 3:01:18
  Speaker 1: have conversations with them?
• 3:01:20
  Speaker 2: Yeah, I mean, the they're they're not going to say
• 3:01:22
  Speaker 2: anything political to you know, they're not like they're never
• 3:01:24
  Speaker 2: going to do than you. Yeah. Yeah, yeah, that's nice. Yeah, yeah,
• 3:01:28
  Speaker 2: absolutely so.
• 3:01:30
  Speaker 1: But the instructions came down from the White House. You
• 3:01:34
  Speaker 1: cannot rescue them because politically this is a bad hand
• 3:01:38
  Speaker 1: of cards.
• 3:01:40
  Speaker 2: I mean they didn't say because politically it's a bad
• 3:01:42
  Speaker 2: hand of cards, but they just said, uh, they were
• 3:01:45
  Speaker 2: they were not interested in any rescue operation before the election.
• 3:01:53
  Speaker 1: Yeah, So what did that feel like.
• 3:01:56
  Speaker 2: I wasn't surprised, but it's crazy, Yeah.
• 3:02:00
  Speaker 1: Because Biden could have authorized it, and they could have said,
• 3:02:04
  Speaker 1: the Biden administration is helping bring those people back. Throw
• 3:02:07
  Speaker 1: you a little funding, give you some money to do it.
• 3:02:09
  Speaker 1: The Bond administrators they funded these people being returned. Uh.
• 3:02:14
  Speaker 2: Yeah, the Biden administration was not exactly my best friend,
• 3:02:18
  Speaker 2: especially after I you know, you know, help Trump get elected,
• 3:02:25
  Speaker 2: get get elected, which I mean some people still think,
• 3:02:29
  Speaker 2: you know, Trump is like the devil basically, and I
• 3:02:34
  Speaker 2: mean I think I think Trump actually he's not perfect,
• 3:02:37
  Speaker 2: but but he's not evil. Trump is not evil. I
• 3:02:42
  Speaker 2: spent a lot of time with him, and he's I mean,
• 3:02:46
  Speaker 2: he's a product of his time, but he is not
• 3:02:49
  Speaker 2: He's not evil.
• 3:02:52
  Speaker 1: No, I don't think he's evil either. But if you
• 3:02:54
  Speaker 1: look at the media coverage.
• 3:02:56
  Speaker 2: The media, the media treats Mike, he's super bravely.
• 3:02:58
  Speaker 1: It's pretty shocking if you look at the amount of
• 3:03:01
  Speaker 1: negative coverage, like one of the things that I looked
• 3:03:04
  Speaker 1: at the other day was mainstream media coverage of you
• 3:03:09
  Speaker 1: Trump a bunch of different.
• 3:03:11
  Speaker 2: Public figures and that's negative or something crazy.
• 3:03:15
  Speaker 1: And then mom Donnie, which is like nine positive, right.
• 3:03:21
  Speaker 2: I mean, what Ma'm Donnie is is is a charismatic swindler.
• 3:03:27
  Speaker 2: I mean you kind of had it to him like
• 3:03:29
  Speaker 2: he did. He can't light up a stage, but he
• 3:03:33
  Speaker 2: has just been a swindle his entire life. And you know,
• 3:03:40
  Speaker 2: and and uh, I think what he's I mean, he's
• 3:03:47
  Speaker 2: likely to win. He's likely to be mayor of New York,
• 3:03:49
  Speaker 2: New York City, very likely, Yeah, very likely.
• 3:03:52
  Speaker 1: I think what polymarket has it at? What what is
• 3:03:54
  Speaker 1: the NiFe?
• 3:03:56
  Speaker 2: Yeah, that sounds pretty likely. Great, I'm not sure the
• 3:03:59
  Speaker 2: six percent, so so yeah, so that's It's.
• 3:04:05
  Speaker 1: Also like who's on the other side, the fucking guardian
• 3:04:08
  Speaker 1: angel guy with the beret and and who doesn't even
• 3:04:12
  Speaker 1: have a party, Like the Democrats don't even want them.
• 3:04:15
  Speaker 1: So you have those two options, and then you have
• 3:04:20
  Speaker 1: the young kids who are like finally socialism.
• 3:04:25
  Speaker 2: Yeah, they they don't know what they're talking about obviously,
• 3:04:30
  Speaker 2: So you know, like you just look at this, say
• 3:04:33
  Speaker 2: how many boats come from Cuba to Florida, and how
• 3:04:37
  Speaker 2: many but and how many boats? Because you know, there's
• 3:04:40
  Speaker 2: like a constant I was thinking, how many boats are
• 3:04:42
  Speaker 2: accumulating on the shores of Florida coming from from Cuba.
• 3:04:48
  Speaker 2: There's a there's a whole bunch of free boats that
• 3:04:50
  Speaker 2: you could, if you want to go, take them back
• 3:04:53
  Speaker 2: to Cuba pretty close. But for some reason people don't
• 3:04:56
  Speaker 2: do that. Why why why why are the boats coming
• 3:05:00
  Speaker 2: in this direction?
• 3:05:03
  Speaker 1: Well, who is who are the most rabid capitalists in America?
• 3:05:06
  Speaker 1: The fucking Cubans. Absolutely, yeah, they're like, we've seen how
• 3:05:10
  Speaker 1: this story goes.
• 3:05:11
  Speaker 2: We do not want exactly funk off jubits in Miami.
• 3:05:17
  Speaker 1: They don't want to hear any bullshit. They don't want
• 3:05:19
  Speaker 1: to hear any socialism bullshit. They're like, no, no, no,
• 3:05:22
  Speaker 1: we know what this actually is. This isn't just some
• 3:05:24
  Speaker 1: fucking dream.
• 3:05:25
  Speaker 2: Yeah, it's extreme gravin oppression. That's a nightmare. And like
• 3:05:32
  Speaker 2: an obvious way, you can tell which, uh, which ideology
• 3:05:37
  Speaker 2: is the bad one? Is? Who has to which ideology
• 3:05:41
  Speaker 2: is building a wall to keep people in and prevent
• 3:05:44
  Speaker 2: them from escaping? Right, Like, so East Berlin built the
• 3:05:49
  Speaker 2: built the wall, not West Berlin, Right, They built the
• 3:05:53
  Speaker 2: wall because people are trying to escape from communism to
• 3:05:56
  Speaker 2: West Berlin. But there wasn't anyone going from West Bulin
• 3:06:00
  Speaker 2: to East Berlin. Right, that's why the communists had to
• 3:06:04
  Speaker 2: build a wool to keep people from escaping.
• 3:06:07
  Speaker 1: They're gonna have to build a wall around New York City.
• 3:06:10
  Speaker 2: Yeah, that's so this guy is sweller that an ideology
• 3:06:15
  Speaker 2: is problematic if that ideology has to build a wool
• 3:06:19
  Speaker 2: to keep people in with machine guns, yes, and shoot
• 3:06:22
  Speaker 2: you if you try to leave.
• 3:06:23
  Speaker 1: Also, there's no examples of it being successful ever, we're
• 3:06:27
  Speaker 1: working out for people. No, there's examples of a bunch
• 3:06:29
  Speaker 1: of lies, like North Korea. Give this land to the state,
• 3:06:33
  Speaker 1: we'll be in control of food. No one goes hungry. No, Now,
• 3:06:36
  Speaker 1: no one can grow food but the government. And we'll
• 3:06:38
  Speaker 1: tell you exactly what you eat, and you eat very little.
• 3:06:41
  Speaker 2: Right.
• 3:06:41
  Speaker 1: Yeah, what when you say, mom, Donnie's a swindler. I
• 3:06:44
  Speaker 1: know he has a bunch of fake accents that he
• 3:06:46
  Speaker 1: used to use, and you know, but what else has
• 3:06:49
  Speaker 1: he done that makes him a swindler?
• 3:06:56
  Speaker 2: Well, I guess if you say what I mean, if
• 3:06:59
  Speaker 2: you if you say to any audience, whatever that audience
• 3:07:03
  Speaker 2: wants to hear instead of what instead of having a
• 3:07:08
  Speaker 2: consistent message, I would say that that is a swindly
• 3:07:10
  Speaker 2: thing to do. And yeah, yeah, but but he is
• 3:07:25
  Speaker 2: he is charismatic.
• 3:07:26
  Speaker 1: Yeah, good looking guy, smart, charismatic.
• 3:07:29
  Speaker 2: Yeah, great on a microphone, yeah yeah yeah.
• 3:07:32
  Speaker 1: And and what the young people want to see, you know,
• 3:07:36
  Speaker 1: like this ethnic guy who's young and vibrant and has
• 3:07:41
  Speaker 1: all these socialist ideas aligns with them. And you know,
• 3:07:44
  Speaker 1: there are a bunch of broke doors just out of college, like, hey,
• 3:07:49
  Speaker 1: let's vote for this, And there's a lot of them,
• 3:07:52
  Speaker 1: and they're activated, they're motivated.
• 3:07:58
  Speaker 2: I guess we'll we'll see, we'll see what happens here.
• 3:08:00
  Speaker 1: What do you think happens if he wins? Because like
• 3:08:05
  Speaker 1: one percent of New York City is responsible for fifty
• 3:08:08
  Speaker 1: percent of their tax base, which is kind of nuts.
• 3:08:13
  Speaker 1: Fifty percent of the tax revenue comes from one percent
• 3:08:15
  Speaker 1: of the population, and those are the people that you're
• 3:08:18
  Speaker 1: scaring off, you know, you lose one half of one percent.
• 3:08:25
  Speaker 2: I mean, hopefully this is the stuff he's he said,
• 3:08:29
  Speaker 2: you know about government takeovers of like that all the
• 3:08:33
  Speaker 2: story should be the government. Basically, why don't think you
• 3:08:36
  Speaker 2: said that?
• 3:08:37
  Speaker 1: I think you said government they want to do government supermarkets,
• 3:08:40
  Speaker 1: some state run or city run supermarkets.
• 3:08:44
  Speaker 2: Yeah, well, it's just the government is the DMV at scale.
• 3:08:49
  Speaker 2: So you have to say, like, do you want the
• 3:08:51
  Speaker 2: DMV running your supermarket? Right? Was your last experience at
• 3:08:56
  Speaker 2: the DMV amazing?
• 3:08:57
  Speaker 1: Uh?
• 3:08:57
  Speaker 2: And if it wasn't, you probably don't want the government
• 3:08:59
  Speaker 2: doing things.
• 3:09:00
  Speaker 1: Image if they were responsible for getting you blueberries.
• 3:09:03
  Speaker 2: Yeah, it's not gonna be good. I mean, the thing
• 3:09:08
  Speaker 2: about you know, communism is is it was. It was
• 3:09:10
  Speaker 2: all breadlines and bad shoes. You know, do you want
• 3:09:15
  Speaker 2: ugly shoes and breadlines? Because that's what communism gets you.
• 3:09:19
  Speaker 1: It's gonna be interesting to see what happens and whether
• 3:09:22
  Speaker 1: or not they snap out of it and overcorrect and
• 3:09:26
  Speaker 1: go to some Rudy Giuliani type character next, because it's
• 3:09:30
  Speaker 1: been a long time since there was any sort of
• 3:09:32
  Speaker 1: Republican leader there.
• 3:09:43
  Speaker 2: And we love we live in the in the most
• 3:09:44
  Speaker 2: interesting of times because we face the you know, simultaneously
• 3:09:52
  Speaker 2: face civilizational decline and incredible prosperity. And these these timelines
• 3:10:01
  Speaker 2: are interwoven. So if Mom Donnie's policies are put into place,
• 3:10:08
  Speaker 2: especially at scale, it it would be a catastrophic decline
• 3:10:14
  Speaker 2: in living standards, not just for the rich but for everyone, uh,
• 3:10:20
  Speaker 2: as as has been the case with with every every
• 3:10:25
  Speaker 2: for every every socialist experiment, or every yeah so. But
• 3:10:32
  Speaker 2: but then, as you pointed out, the the irony is
• 3:10:34
  Speaker 2: that like the ultimate capitalist thing of AI and robotics
• 3:10:40
  Speaker 2: enabling prosperity for all and abundance of goods and services,
• 3:10:46
  Speaker 2: actually the capitalist implementation of AI and robotics, assuming it
• 3:10:52
  Speaker 2: goes down the the good path uh, is actually what
• 3:10:56
  Speaker 2: results in the communist utopia, because fate is an irony maximizer.
• 3:11:03
  Speaker 1: Right and and an actual socialism of maximum abundance of
• 3:11:09
  Speaker 1: high income people.
• 3:11:11
  Speaker 2: Universal high income. Like the problem with communism is its
• 3:11:17
  Speaker 2: universal low income. It's it's not that everyone gets elevated.
• 3:11:22
  Speaker 2: It's that everyone gets oppressed except for a very small
• 3:11:25
  Speaker 2: minority of politicians who live lives of luxury. That's what's
• 3:11:29
  Speaker 2: happening every time it's been done. So. But then, the
• 3:11:39
  Speaker 2: the actual communist tophia, if everyone gets anything they want
• 3:11:43
  Speaker 2: will be it will be it if will be achieved,
• 3:11:47
  Speaker 2: If it is achieved, it will be achieved via capitalism.
• 3:11:52
  Speaker 2: Because fade is an irony maximizer.
• 3:11:56
  Speaker 1: I feel like we should probably end it on that
• 3:11:58
  Speaker 1: is anything.
• 3:11:59
  Speaker 2: Else most oronic outcome as the most likely, especially if entertaining.
• 3:12:03
  Speaker 1: Well, everything has been entertaining as long as the bad
• 3:12:06
  Speaker 1: things aren't happening to you. It's quite fascinating and it's
• 3:12:09
  Speaker 1: never a boring moment.
• 3:12:11
  Speaker 2: Yes, so there's I do have a theory of why,
• 3:12:18
  Speaker 2: like if if if simulation theory is true, then it
• 3:12:24
  Speaker 2: is actually very likely that the most interesting outcome is
• 3:12:32
  Speaker 2: the is the most likely because only the simulations that
• 3:12:35
  Speaker 2: are interesting will continue. The simulators will stop any simulations
• 3:12:40
  Speaker 2: that are boring because they're not interesting.
• 3:12:42
  Speaker 1: But here's the question about the simulation theory. Is a
• 3:12:45
  Speaker 1: simulation run.
• 3:12:46
  Speaker 2: By anyone or it would be run by someone some
• 3:12:50
  Speaker 2: some force the program, like in in this reality that
• 3:12:56
  Speaker 2: we live in, we run simulations all the time. Like
• 3:12:59
  Speaker 2: so when we try to figure out if the rockets
• 3:13:01
  Speaker 2: are gonna make it, we run thousands, sometimes millions of
• 3:13:07
  Speaker 2: simulations just to figure out which which UH path is
• 3:13:12
  Speaker 2: the good path for the rocket and and where can
• 3:13:14
  Speaker 2: it go wrong? Where can it fail? But we when
• 3:13:18
  Speaker 2: we do these I say, at this point millions of
• 3:13:20
  Speaker 2: simulations of what can happen with the rocket, we ignore
• 3:13:24
  Speaker 2: the ones that are where everything goes right, because we
• 3:13:29
  Speaker 2: we we just care about that. We have we have
• 3:13:31
  Speaker 2: to address the situations where it goes wrong. So so
• 3:13:38
  Speaker 2: so basically, in and and for for AI simulations as well,
• 3:13:42
  Speaker 2: like all these things, we we keep the simulations going
• 3:13:46
  Speaker 2: that are the most interesting to us. So, if simulation
• 3:13:52
  Speaker 2: theory is accurate, if if it is true, who knows,
• 3:13:56
  Speaker 2: then the that the simulators will will only they will
• 3:14:03
  Speaker 2: continue to run the simulations that are most interesting. There Therefore,
• 3:14:06
  Speaker 2: from a dull winning perspective, the only surviving simulations will
• 3:14:10
  Speaker 2: be the interesting, the most interesting ones. And in order
• 3:14:12
  Speaker 2: to avoid getting turned off, the only rule is you
• 3:14:18
  Speaker 2: must keep it interesting, or you will if or you'll
• 3:14:22
  Speaker 2: because the boring simulations will be terminated.
• 3:14:24
  Speaker 1: Are you still completely convinced that this is a simulation?
• 3:14:28
  Speaker 2: I didn't say I was completely convinced.
• 3:14:29
  Speaker 1: Well, you said it's like the odds of it not
• 3:14:30
  Speaker 1: being or in the billions, Like I s, it's not
• 3:14:34
  Speaker 1: completely because you're saying there's a chance.
• 3:14:39
  Speaker 2: What are the odds that we're in base reality? Well,
• 3:14:45
  Speaker 2: given that, given that that, we're able to create increasingly
• 3:14:48
  Speaker 2: sophisticated simulations. So if you think, you say video games,
• 3:14:51
  Speaker 2: and how video games have gone from very simple video
• 3:14:53
  Speaker 2: games like pong with you two rectangles in a square,
• 3:14:56
  Speaker 2: to video games today being photorealistic with millions of people
• 3:15:03
  Speaker 2: playing simultaneously, and all of that has occurred in our lifetime.
• 3:15:08
  Speaker 2: So if that trend continues, video games will be indistinguishable
• 3:15:14
  Speaker 2: from reality. The fidelity of the game will be such
• 3:15:18
  Speaker 2: that you don't know if that for what you're seeing
• 3:15:21
  Speaker 2: is a real video or a fake video. And like
• 3:15:25
  Speaker 2: AI generated videos, at this point, like you can sometimes
• 3:15:30
  Speaker 2: tell it's an AI generated video, but often you cannot tell,
• 3:15:32
  Speaker 2: and soon you will not really just not be able
• 3:15:35
  Speaker 2: to tell. So if that's happening in our direct observation,
• 3:15:43
  Speaker 2: then and we'll create millions, if not billions, of photorealistic
• 3:15:48
  Speaker 2: simulations of reality. Then what are the odds that we're
• 3:15:54
  Speaker 2: in based reality or versus someone else's simulation.
• 3:15:59
  Speaker 1: Well, isn't it just part that the simulation is inevitable,
• 3:16:02
  Speaker 1: but that we are in base reality building towards the.
• 3:16:05
  Speaker 2: Simulation, we're making simulations. So we're making simulations we make
• 3:16:18
  Speaker 2: like you can just think of like photio realistic video
• 3:16:20
  Speaker 2: games as being simulations, and especially as you apply AI
• 3:16:27
  Speaker 2: in these video games, Like the characters in the video
• 3:16:29
  Speaker 2: games will be incredibly interesting to talk to. They won't
• 3:16:31
  Speaker 2: just have a limited dialogue tree where if you go
• 3:16:33
  Speaker 2: to like the Crossbow Merchant or like and you try
• 3:16:37
  Speaker 2: to talk about any subject except buying a crossbow, they
• 3:16:40
  Speaker 2: just want to talk about selling you a crossbow. But
• 3:16:43
  Speaker 2: with with with AI based non player characters, you can
• 3:16:47
  Speaker 2: you'll be able to have an elaborate conversation with no
• 3:16:49
  Speaker 2: dialogue tree.
• 3:16:50
  Speaker 1: Well that might be the solution for meaning for people.
• 3:16:53
  Speaker 1: Just walk in and you could be a fucking vampire
• 3:16:56
  Speaker 1: and whatever. You live in avatar land, you could do it.
• 3:17:00
  Speaker 1: You could do whatever you want. I mean, you don't
• 3:17:02
  Speaker 1: have to think about money or Ready Player one. Yeah
• 3:17:05
  Speaker 1: literally yeah, but with higher living standards, Yeah, you don't
• 3:17:10
  Speaker 1: have to be a little trailer.
• 3:17:11
  Speaker 2: I mean I think this. People do want to have
• 3:17:13
  Speaker 2: some amount of the struggle or something they want to
• 3:17:16
  Speaker 2: push against. But it could be you know, playing a
• 3:17:23
  Speaker 2: sports or playing a game, or it could.
• 3:17:24
  Speaker 1: Be easily playing a game, and especially playing a game
• 3:17:27
  Speaker 1: where you're now no longer worried about like physical attributes
• 3:17:30
  Speaker 1: like athletics, like bad joints and hips and stuff like that.
• 3:17:34
  Speaker 1: Now it's completely digital, but yet you do have meaning
• 3:17:39
  Speaker 1: in pursuing this thing that you're doing all day, whatever
• 3:17:43
  Speaker 1: the fuck that means. It's going to be weird, it's
• 3:17:48
  Speaker 1: going to be interesting, it's going to be very interesting.
• 3:17:52
  Speaker 2: The most interesting and usually ironic outcome is the most likely.
• 3:18:00
  Speaker 2: That's a good predictor of the future.
• 3:18:02
  Speaker 1: Thank you, thanks for being here. Really appreciate it. Appreciate
• 3:18:05
  Speaker 1: your time. I know you're a busy man, so this
• 3:18:07
  Speaker 1: means a lot you can come here to do this.
• 3:18:11
  Speaker 1: Thank you, everybody