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Joe Rogan Experience #2404 - Elon Musk — Transcript

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0:01Joe Rogan podcast. Check it out.
0:04>> The Joe Rogan Experience.
0:06>> TRAIN BY DAY. JOE ROGAN PODCAST BY
0:08NIGHT. All day.
0:12>> Exactly.
0:13>> Just every morning.
0:15>> Wonder what Jeff Bezos is doing.
0:17>> He's doing some [laughter] definitely
0:18doing some testosterone. He looks
0:20jacked.
0:21>> He looks jacked, right?
0:23>> Yeah. But he didn't like
0:24>> quick
0:25>> quick
0:26>> quick [laughter]
0:29at age like at 50 at age 59 in less than
0:32a year he he went from pencilet geek to
0:35uh looking like a like the rock.
0:38>> Yeah. Like a little miniature alpha
0:40fella.
0:40>> Yeah. Like like his neck got bigger than
0:42his head.
0:43>> Yeah. He got bigger.
0:44>> But then like his earlier pictures his
0:45neck's like a noodle.
0:46>> I support this activity. I like to see
0:48him going in this direction
0:49>> which is fine. And his voice dropped
0:50like two octaves. I want you to move in
0:52that direction as well.
0:53>> I think we can achieve this.
0:55>> I I I mean I should
0:56>> I think we can achieve
0:58>> gigachad.
1:00[laughter]
1:01That's what people called it.
1:02>> Where is that guy?
1:03>> Bele. Uh I don't know where he is.
1:06>> That's like a real guy.
1:07>> The artist. Yeah.
1:08>> No.
1:08>> Oh, gigachad. [laughter]
1:09Oh, gigachad. Yeah. I don't know if
1:11that's a real guy. It's hard to say.
1:12>> No, it is a real guy.
1:13>> It is a real guy.
1:14>> He's got the crazy jaw and like perfect
1:16sculpted hair.
1:17>> Yeah. Well, I mean, they may have
1:19exaggerated a little bit, but
1:21>> um
1:21>> but uh No, I think I think he actually
1:23just kind of looked like that in
1:24reality.
1:25>> Wow.
1:25>> Um so
1:27>> like like he's a pretty unique looking
1:29individual.
1:30>> I think we can achieve this. That guy
1:31right there, that's a real guy.
1:33[laughter]
1:34>> That's a real dude.
1:35>> I always thought that was CGI.
1:37>> No, I think one of I think the upper
1:40right one is not [laughter] him. That's
1:42not
1:42>> But that one to the left of
1:43[clears throat] that like that's real.
1:44No, that's that's artificial, bro.
1:46That's fake. That's got that uncanny
1:48valley feel to it, doesn't it?
1:51>> It's It's not impossible.
1:52>> No, no, it's not impossible to achieve,
1:54but it's not it's not possible to
1:56maintain that kind of leanness. I mean,
1:59that's like like you're you're also at
2:01that point they're he's dehydrating and
2:03all sorts of things.
2:04>> Oh, it's based on a real person.
2:06>> Yeah. Yeah. Based on,
2:07>> right, but it's not a real person. What
2:08does he really look like?
2:09>> Like those images, I think, are
2:11[ __ ]
2:12>> Some of them are. Is that real? Okay.
2:14That That looks real. That looks like a
2:16really jack bodybuilder.
2:17>> Yeah.
2:18>> Yeah, that looks real. Like that's
2:20achievable. But there's a few of those
2:22images where you're just like, "What's
2:23going on here?"
2:24>> Yeah. Yeah. Yeah. Totally. Um
2:26>> Well, I mean, you see you see [laughter]
2:28>> that guy is that is that the
2:30>> that's the real dude?
2:31>> Well, there's that that that Icelandic
2:33dude who's Thor.
2:34>> Oh, yeah. The guy who jumps in the
2:36frozen lakes and [ __ ]
2:37>> Well, the guy who played the mountain.
2:38Um
2:39>> Oh, that guy.
2:40>> That is that is like a that that is like
2:42a a mutant strong human. Yes.
2:45>> Like like uh he would be in like the
2:47X-Men or something, you know?
2:49>> He's just like not like uh
2:52>> and there's that you know that have you
2:53seen that meme tent and tent bag?
2:56>> Um you know how like it's like it's
2:57really hard to get the tent tent in
2:59>> Oh, right. Right. [laughter]
3:05>> That's true.
3:05>> Then there's a picture of of him and his
3:07girlfriend.
3:09That's hilarious. [laughter]
3:12>> Yeah, that's
3:13>> I don't know how it gets in there, you
3:14know? It's like it seems too small. But
3:16>> I met Brian [laughter] Shaw. Brian Shaw
3:19is like the world's most powerful man.
3:21And he's almost [laughter] 7 feet tall.
3:23He's 400 lb.
3:26>> And his his bone density is 1 in 500
3:30million people. So there's one it's like
3:33there's like maybe 16 people.
3:35>> He's an enormous human being. like a
3:38legitimate giant just like that guy. But
3:41we met him. He was hanging out with us
3:42in the green room of the mother ship.
3:44It's like, okay, if this was like David
3:46and Goliath days, like this is an actual
3:48giant like the giants of the Bible.
3:50>> Once in a while they get a super giant
3:51person.
3:51>> This is a real a real one. Like not a
3:53tall skinny basketball player, like a 7
3:56foot 400B powerliffter.
3:59>> Like you don't want to especially look
4:00at him. That's the guy. See if there's a
4:02photo of him standing next to like a
4:03regular human. I
4:04>> was trying to get
4:05>> There it is. That's him right there.
4:06Like there's like there's like one of
4:08him with next to standing next to Arnold
4:09and stuff and it's where and everyone
4:11everyone just looks tiny.
4:13>> I mean I think he's a pretty cool dude
4:14actually.
4:15>> Oh, Brian's very cool. Very smart, too.
4:17Unusually, you know, you expect anybody
4:19to be that big. It's got to be a [ __ ]
4:21>> No.
4:22>> Yeah. There was there's Andre the Giant
4:25who was awesome. You
4:27>> he was great in Princess Bride and
4:29>> No, he was just awesome period.
4:30>> Yeah. Yeah. So, we were talking about um
4:33this interview with Sam Alman and
4:36Tucker, and I was like, we should
4:37probably just talk about this on the air
4:39because it is one of the craziest
4:41interviews I think I've ever seen in my
4:42life.
4:43>> Yeah.
4:43>> Where Tucker starts bringing up this guy
4:45who was a whistleblower, whatever.
4:48>> A whistleblower who, you know,
4:51>> committed suicide, but it doesn't look
4:52like it.
4:53>> And and he's talking to Sam Alman about
4:56this. And Sam Alton was like, "Are you
4:58accusing me?" He's like, "No, no, no.
5:00I'm not. I'm just saying I I think
5:02someone killed him.
5:03>> Yeah. And like And it should be
5:05investigated.
5:06>> Yeah.
5:06>> Um not just drop the case.
5:09>> It seems like
5:10>> they just dropped the case. Yeah. Yeah.
5:11But his parents think he was murdered.
5:13>> Yeah.
5:13>> Um the wires to a security camera were
5:16cut. Um
5:17>> blood in two rooms.
5:18>> Blood in two rooms. Someone else's wig
5:20was in the room. And
5:21>> someone else's wig.
5:22>> Wig.
5:22>> Wig. Yes. Not his wig.
5:25>> Not normal to have a wig laying around.
5:27>> Yes. Um and um and he ordered Door Dash
5:31uh right before allegedly committing
5:33suicide.
5:34>> Uh which uh is it seems unusual, you
5:36know?
5:37>> Yeah.
5:37>> It's like, you know, let's I'm going to
5:38order pizza on second thoughts, I'll
5:40kill myself. Uh is it seems like that's
5:43a very rapid change in mindset.
5:45>> It's very weird. And especially the
5:46parents have they they don't believe he
5:50committed suicide at all.
5:51>> Has no note or anything.
5:52>> No.
5:53>> Yeah.
5:53>> It seems pretty [ __ ] up. And you know,
5:55the idea that a whistleblower for an
5:57enormous AI company that's worth
6:00billions of dollars might get whacked,
6:02that's not outside the pale.
6:04>> I mean, it's straight out of a movie.
6:06>> Right out of a movie, but right out of a
6:07movie is real sometimes.
6:08>> Yeah. Right. [laughter] Exactly.
6:11>> It's a little weird that I I think they
6:13should do a proper investigation. Like,
6:15what's the downside on that proper
6:17investigation?
6:17>> Right.
6:18>> No.
6:19>> Yeah,
6:19>> for sure. But the whole exchange is so
6:22bizarre.
6:23>> Yeah. Yeah.
6:24Sam Alman's reaction to being accused of
6:26murder is bizarre.
6:28>> Look, I don't know if he's guilty, but
6:30it's not possible to look more guilty.
6:33[laughter]
6:34>> So, I'm like,
6:35>> or look more weird.
6:37>> Yeah.
6:38>> You know, maybe it's just his social
6:41thing. Like, maybe he's just odd with
6:43confrontation and it just goes blank,
6:47you know? But if if somebody was
6:49accusing me of killing Jamie, like if
6:51Jamie was a whistleblower and Jamie got
6:53whacked and then I'd be like, "Wait,
6:54what are you what are you are you
6:56accusing me of killing my friend?" Like,
6:57"What the [ __ ] are you talking about?" I
6:59would I would be a little bit more I
7:01rate.
7:02>> Yeah. Yeah. Exactly. You know, it would
7:04be
7:04>> I would be a little upset.
7:07>> Yeah. It'd be like Well, you'd be like,
7:09you'd certainly in insist on a thorough
7:12investigation. Yeah.
7:13>> As opposed to trying to sweep it under
7:14the rug.
7:15>> Yeah. I wouldn't assume that he got that
7:17he committed suicide. I would be
7:19suspicious. If Tucker was telling me
7:20that aspect of the story, I'd be like,
7:22"That does seem like a murder. [ __ ] We
7:24should look into this."
7:25>> I mean, all signs point to it being a
7:26murder. Not not saying, you know, Tim
7:29Molvin had anything to do with the
7:30murder, but uh
7:30>> blood in two rooms.
7:31>> It's blood in two rooms. Like, yeah,
7:34there's the wires to the security camera
7:36and the door dash being ordered right
7:37before suicide. No suicide note. his
7:39parents think uh he was murdered and um
7:43the people that I know who knew him said
7:45he was not suicidal.
7:48So I'm like this why would you jump to
7:50the conclusion
7:51>> parents sued the
7:52>> uh landlord?
7:53>> They sued the son's landlord alleged the
7:55owners and the managers of their son's
7:57San Francisco apartment building were
7:58part of a widespread cover up of his
7:59death.
7:59>> The landlord
8:00>> Yeah. There's a bunch of weird They said
8:02there was like packages missing from the
8:03building. Some people said they saw
8:05packages still being delivered and all a
8:06sudden they all disappeared.
8:07>> Huh. But that could be people steal
8:10people's packages all the time.
8:12>> The porch pirate situation.
8:13>> Yeah.
8:14>> Yeah.
8:14>> Says they failed to safeguard.
8:16>> Also, I mean, the amount of trauma those
8:18poor parents have gone through with
8:20their son dying like that. I mean, it
8:22must
8:23>> God bless them. And how could they stay
8:26sane after something like that? They're
8:28probably they're so griefstricken. Who
8:30knows what they believe at this point.
8:32>> Yeah. It should have asked if Epson
8:35killed himself.
8:36>> [laughter]
8:38>> Yeah, that's the the Cash Mattel thing.
8:41Cash Mattel Dan Bonino trying to
8:43convince everybody of that. Like, okay.
8:45>> The guards weren't there and the cameras
8:47stopped working and um
8:49>> you know,
8:50>> the guards were asleep. The cameras
8:53weren't working. He had a a giant
8:55steroided up bodybuilder guy that he was
8:57sharing a cell with that was a murderer
9:00who was a bad cop. Like, all of it's
9:03kind of nuts. All of it's kind of nuts
9:05like that he would just kill himself
9:07rather than reveal all of his
9:09billionaire friends.
9:12>> Yeah.
9:12>> And then
9:13>> did you see Tim Dylan talking to Chris
9:14Cuomo about this?
9:16>> I did. He liked the idea.
9:17>> Chris Cromo just looked so stupid.
9:19[laughter]
9:20>> Tim just listed off all the
9:22>> Tim just and he's like I agree it is
9:24strange. Like of course it's strange
9:25Chris. Jesus Christ. You can't just go
9:29with the tide. You got to think things
9:31through. And if you think that one
9:33through, you're like, I don't think he
9:34killed himself. Nobody does. You'd have
9:37to work for an intelligence agency to
9:38think he killed himself. [laughter]
9:40>> It does. It does seem unlikely.
9:42>> It seems highly unlikely.
9:45Highly, highly unlikely. All roads point
9:48to murder.
9:49>> Yes.
9:49>> Point to they had to get rid of him
9:51because he knew too much. Whatever the
9:53[ __ ] he was doing, whatever kind of an
9:55asset he was, whatever thing he was up
9:58to, you know, was apparently very
10:00effective.
10:01>> Yes. And a lot of people are
10:02compromised.
10:04You see, your boy Bill Gates is now
10:06saying climate change is not a big deal.
10:08Like, relax everybody. I know I scared
10:10the [ __ ] out of you for the last decade
10:11and a half, but ah, we're going to be
10:13fine. [laughter]
10:16>> Yeah. I mean,
10:19you know, as was I was saying just
10:21before coming into the studio with, you
10:23know, it like every day there's some
10:24crazy wild new thing that's happening.
10:27It's It feels like reality is
10:28accelerating.
10:29>> It's every day. And Every day it's like
10:32more and more ridiculous to the point
10:35where the simulation is more and more
10:36undeniable.
10:37>> Yeah. Yeah. It really feels like
10:39simulation, you know? It's like, come
10:40on. What are the odds that this could be
10:41the case?
10:42>> Are you paying attention at all to Three
10:44Atlas? Are you watching the
10:46>> the comet?
10:47>> Yeah. Whatever it is.
10:48>> Yeah. Yeah. I mean, I mean, one thing I
10:51can say is like, look, I
10:54if if I was aware of any evidence of
10:57aliens, um, you Joe, you have my word. I
11:00will come on your show and I will reveal
11:02it on the show.
11:03>> Okay.
11:04>> Yeah,
11:04>> that's a good deal.
11:05>> Yeah, it's pretty good.
11:06>> I'll believe you. Yeah, thank you.
11:07>> I I'll stick I keep my you know, keep my
11:09promises. So, um
11:11>> All right. I'll hold you to that.
11:12>> Yeah. Yeah. And and [clears throat] I'm
11:14never committing suicide to be clear.
11:16[laughter]
11:16>> I don't think you would either.
11:17>> So, on camera, guys, I am never
11:20committing suicide ever.
11:22>> If someone says you committed suicide,
11:23[laughter] I will fight tooth and nail.
11:26>> I will fight tooth and nail. I will I
11:27will not believe it. I will not believe
11:29it. The thing about the three eye atlas
11:31is it's
11:32>> a hell of a name actually.
11:34>> Yeah, it's a third eye sounds like third
11:35eye or something.
11:36>> Yeah, it does. [laughter]
11:38Three eye is third. It's only the third
11:40interstellar object that's detected.
11:42>> Okay.
11:43>> Yeah. [snorts] Obias.
11:46>> Yeah. Alo was on the podcast a couple
11:49days ago talking about it.
11:50>> Yeah. It could be. I don't know. But I
11:52>> apparently today they're saying that
11:54it's changed course. Um,
11:56>> did you see that, Jamie?
11:58>> Avi said something today. I'll send it
12:00to you. Um,
12:04>> uh, I know it's on Reddit.
12:08>> Here you go, Jamie. I'll send it to you
12:10right now. Um, it's fascinating. It's
12:13fascinating also because it's made
12:14almost entirely of nickel, whatever it
12:17is. And the only way that exists, uh,
12:19here is, uh, industrial alloys
12:21apparently. Um um most no there are
12:23there are
12:24>> there are definitely uh comets that and
12:26asteroids that are made primarily of
12:29nickel in fact. Yeah. So the the places
12:32where um you mine nickel on earth is
12:35actually where there was an asteroid or
12:36comet that hit earth that was a nickel
12:38rich uh you know
12:40>> nickel rich nickel rich rich deposit.
12:43>> Yeah that's that's that's it's coming.
12:45Those are from impacts. You definitely
12:47didn't want to be there at the time
12:48because anything would have been
12:49obliterated. Right. Um, but that's
12:51that's where the the sources of nickel
12:53and cobalt are these days.
12:54>> So, this is Ovio Lope. A few hours ago,
12:55the first hint of non-gravitational
12:57acceleration that something other than
12:58gravity is affecting its acceleration,
13:00meaning something is affecting its
13:02trajectory beyond gravity was indicated.
13:05Interesting.
13:08Um
13:11so it's mostly nickel very little iron
13:14which uh he was saying uh is on earth
13:18only exists in alloys but whatever you
13:22know you're dealing with another planet
13:23>> there this there are there are there are
13:26cases where there's very nickel richch
13:27asteroids meteorites that heavy that
13:30something from space.
13:31>> Yeah it it's only yeah it doesn't mean
13:33it'll be a very sort of heavy spaceship
13:35if you make it all out of nickel. Oh
13:37yeah.
13:38>> And [ __ ] huge. The size of Manhattan
13:40and all nickel. That's kind of nuts.
13:42>> Yeah, that's a heavy spaceship.
13:43>> That's a real problem if it hits.
13:45>> Uh yes. No, it would like obliterate a
13:47continent type of thing.
13:48>> Um maybe maybe worse.
13:50>> Probably kill most of human life.
13:52>> Um
13:53>> if not all of us.
13:54>> I haven't depends on what the the total
13:56mass is. But um there's I mean the thing
13:59is like in the fossil record there are
14:02um you know there's like arguably
14:04arguably five major extinction events.
14:06um like the biggest one of which is the
14:08Perine extinction uh where um almost all
14:10life was eliminated. That that actually
14:12occurred over several million several
14:13million years. Um the there's the
14:16Jurassic. I think Jurassic is I think
14:18that one's pretty definitively an
14:20asteroid. Um and um but there's but
14:24there's been five major extinction
14:25events, but um but what they don't count
14:28are really the ones that merely take out
14:30a continent.
14:31>> So
14:32>> merely
14:32>> Yeah. cuz that that because those don't
14:34really show up on the fossil record, you
14:35know,
14:35>> right?
14:36>> Um so unless it's enough to cause a you
14:39know mass extinction event throughout
14:41Earth, it it doesn't show up, you know,
14:44in a fossil record that's uh 200 million
14:46years old. Um so the uh yeah but but
14:51there have been many um many impacts
14:54that would have sort of destroyed all
14:56life on you know let's say half of North
14:59America or something like that. there
15:01many such impacts through the course of
15:03history.
15:03>> Yeah. And there's nothing we can do
15:05about it right now.
15:06>> Yeah. There was one that um hits there
15:09was a one that hit Siberia and destroyed
15:11I think um few hundred square miles.
15:14>> Oh, that's the Tungusa.
15:16>> Yeah. That's the one from the 1920s,
15:17right?
15:18>> Yeah.
15:18>> Yeah. That's the one that coincides with
15:20that meteor that uh comet storm that we
15:23go through every June and every November
15:25that they think is responsible for that
15:27younger dest.
15:29>> Yeah. Yeah, all that shit's crazy. Um,
15:33thank you before we go any further for
15:36letting us have a tour of SpaceX and
15:38letting us be there for the rocket
15:40launch.
15:41>> One of the absolute coolest things I've
15:44ever seen in my life. And we we've we
15:46were we thought it was only like I
15:49thought it was a half a mile. Jamie's
15:50like it was a mile away. Turned out it's
15:52almost two miles away. And you feel it
15:54in your chest.
15:55>> Yeah. It's
15:55>> you have to wear earplugs and you feel
15:57it in your chest and it's 2 miles away.
16:00>> It was [ __ ] amazing. And then to go
16:02with you up into the command center and
16:05to watch all the Starlink satellites
16:07with all the different cameras and all
16:09in real time as it made its way all the
16:12way to Australia. How many minutes? Like
16:1435 40 minutes.
16:16>> Yeah.
16:17>> Wild it touchdown in Australia.
16:19>> Yeah.
16:20>> [ __ ] crazy. It was amazing.
16:22>> Yeah. Yeah.
16:23>> Absolutely amazing. The starship's
16:25awesome. Um, and anyone can go watch the
16:27launch actually. So, you can just go to
16:29um, South Padre Island, get has a great
16:31view of the launch. Um, so it's like
16:33where a lot of spring breakers go.
16:35>> Um, but um, but we'll be flying pretty
16:38frequently um, out of Starbase in South
16:39Texas. And we we formally incorporated
16:41it as a city. So, it's it's actually a
16:44legally an actual legal city, Starbase,
16:46Texas.
16:47>> Um, it's not that often you hear like,
16:48hey, we made a city, you know.
16:50[laughter] Um, that [snorts] used to be
16:52like the like in in the old days like a
16:54startup would be you go and gather a
16:56bunch of people and say, "Hey, let's go
16:57make a town." Literally, that was like
16:58that would have been startups in in in
17:00the old days.
17:01>> Um,
17:01>> or a country.
17:02>> Yeah. Or a country.
17:03>> Yeah.
17:03>> Yeah. Yeah. Actually,
17:04>> if you tried doing that today, there'd
17:06be a real problem.
17:07>> Yeah. That things are so much so much
17:09set in stone on the country front these
17:10days. You might pull it off. You might
17:12be able [clears throat] to pull it off.
17:12If you got a a solid island, you might
17:15be able to pull it off.
17:16>> You know, it's probably,
17:18>> you know, like like at
17:20owns lai.
17:21>> Yeah, you could probably if you put if
17:23you put enough effort into it, you could
17:24make a new country.
17:25>> This is one of the different ones. This
17:26is one of the ones that you catch,
17:28>> right? Or is that one?
17:29>> Yeah, that that's the booster. So that's
17:30the super heavy booster. Uh so that's
17:32the one with the booster's got 33
17:34engines. Um
17:37that that uh um and it's you know by
17:41version four that will have about 10,000
17:43tons of thrust. Um you know right now
17:45it's about 7 8,000 tons of thrust. Um,
17:48that's that's the largest flying object
17:50ever made.
17:50>> I had to explain to someone. They were
17:53going, "Why do they blow up all the time
17:54if he's so smart?" Because there was
17:56there was this [ __ ] idiot on
17:57television. Some guy was being
17:59interviewed and they were talking about
18:01you. And he goes, "Oh, I think he's a
18:02fuckwit." And he goes, "He's a fuckwit."
18:04And he goes, "Why you say he's [ __ ] Oh,
18:05his rockets keep blowing up." And
18:07someone said, "Yeah, well, why do his
18:08rockets blow?" And I had to explain.
18:09Yeah. Because it's the only way you find
18:11out what the tolerances are. You have to
18:13you have to a few
18:14>> corners of the box. So, so like so
18:16[clears throat] when you do a new uh
18:17rocket development program, um you you
18:20have to uh do what's called uh you know,
18:22exploring the limits, the corners of the
18:24box where you say it's like you worst
18:25case this, worst case that um to figure
18:27out um uh where where the limits are. So
18:31uh you blow up, you know, not not
18:33admittedly in the development process
18:35sometimes blows up accidentally. Um but
18:37but we intentionally subject it to uh uh
18:42you know a flight regime that is much
18:44worse than what we expect in normal
18:46flight so that when we put people on
18:47board or valuable cargo it doesn't blow
18:49up. Um so um so so for example for the
18:54the flight that you saw we we actually
18:56deliberately took um heat shield tiles
18:59off the the the ship the off of Starship
19:02in in some of the worst locations to say
19:05okay if we lose a heat shield tile here
19:07is it is it catastrophic or is it not?
19:09Um and we we nonetheless uh Starship was
19:13able to do a soft landing um in uh in
19:16the Indian Ocean just uh west of
19:17Australia. Um which as and it got there
19:20from Texas in like I don't know 354
19:23minutes type of thing. So
19:24>> So it landed even though you put it
19:26through this situation where it has
19:28compromised shield.
19:30it it had an an an an unusually we we we
19:33brought it in hot like an an extra hot
19:35trajectory uh with missing tiles um to
19:39see if it would still make it to a soft
19:40landing which it did. Now I I should
19:43point out it did have there were some
19:45holes that were burnt into it. Um but
19:47it's it was robust enough to land
19:49despite having some holes burnt you know
19:52that that you know cuz it's coming it's
19:54coming in like a blazing meteor. You can
19:55see you can see the real time video.
19:57Well, tell me the speed again because
19:58the the speed was bananas. You were
20:00talking about
20:00>> Yeah, it's like 17,000 mph
20:03like like 25 times the speed of sound or
20:05thereabouts. So, um the uh uh so so
20:09think of it like it's it's like 12 times
20:11faster than a bullet from an assault
20:13rifle. You know, bullet from assault
20:15rifles around Mach 2
20:16>> and it's just and it's [clears throat]
20:17huge.
20:18>> Yeah. [laughter]
20:21Yeah. Or or if you compare it to like a
20:23bullet from a um you know a 45 or or 9
20:26mil which is subsonic that's you know it
20:29it'll be about 30 times faster than a
20:31bullet from a handgun.
20:32>> 30 times faster than a bullet from a
20:34handgun and it's the size of a
20:35skyscraper.
20:36>> Yes. [laughter]
20:39>> Yeah. That's fast.
20:41>> It's so wild. It's so wild to see, man.
20:44It It's uh It's so exciting. This the
20:47factor is so exciting too because like
20:50genuinely no [ __ ] I felt like I was
20:52witnessing history. I felt like it was a
20:55scene in a movie where someone had
20:57expectations and they like what are they
20:59doing? They're building rockets. And you
21:00go there and as we were walking through
21:03Jamie, you could speak to this too.
21:04Didn't you have the feeling where you're
21:06like
21:07>> oh this is way bigger than I thought it
21:09was. This is [laughter] huge. Awesome.
21:11>> Gigantic.
21:11>> [ __ ] crazy.
21:12>> That's what she said. the ah the amount
21:15of rockets you're making. I don't know
21:18if you
21:18>> tent back. [laughter]
21:21>> Gig Chad in the house.
21:22>> This is way big.
21:25>> It's a giant metal dick. [laughter]
21:26You're [ __ ] [ __ ] the universe with
21:28your giant metal dick. That's
21:29>> I mean, yeah, it is. It is very big.
21:32>> And the sheer numbers of them that you
21:34guys are making. And then this is a
21:37version and you have a new updated
21:40version that's coming soon.
21:41>> And what is the It's a It's a little
21:44longer. Um
21:45>> more pointy.
21:46>> Uh it's the same amount of pointy. Um
21:49but the there's it's it's got a bit more
21:51length. Um the the interstage, you see
21:54that that interstage section with kind
21:55of like the grill area.
21:56>> Mhm.
21:57>> Um that's uh that's now integrated with
21:59the boost stage. Um so uh we do um
22:03what's called hot staging. Uh where we
22:05light the ship engines while it's still
22:07attached to the booster. So the boost
22:08the booster engines are still thrusting.
22:10is still it's it's uh you know it's
22:12still being pushed forward by the
22:13booster of the ship. Uh but then we
22:15light the ship engines and the ship
22:17engines actually pull away from the
22:19booster even though the booster engines
22:20are still firing.
22:22>> Whoa.
22:22>> Um so it's blasting flame through uh
22:25that that grill section but we integrate
22:27that grill section into uh the boost
22:30stage with the next uh version of the
22:32rocket. Um and uh and explosion in the
22:35rocket will have the Raptor 3 engines
22:37which are a huge improvement. Um you may
22:41you may have seen them in the lobby
22:43because we got like the Raptor 1, two,
22:44and three. And you can see the dramatic
22:47improvement in simplicity. Um we should
22:50probably put a plaque there to also show
22:51how much the we reduced the weight uh
22:54the cost and the and improved the
22:56efficiency and the uh thrust. So the
22:59Raptor 3 uh has uh you know almost twice
23:03the thrust of Raptor Raptor 1.
23:06>> Wow.
23:07>> So you see Raptor 3. It looks like it
23:09looks like it's got parts missing.
23:12Right.
23:12>> And how many
23:13>> It's very very clean.
23:14>> How many of them are on the rocket?
23:16>> There's 33 on the on the booster.
23:19>> Whoa. Um and and each of each Raptor
23:23engine is producing twice as much thrust
23:27as all four engines on a 747.
23:30Wow. So that engine is smaller than a
23:34747 engine, but is producing, you know,
23:38um you know, almost 10 times the thrust
23:40of a 747 engine. Um so extremely high
23:45power to weight ratio. Um
23:48and um
23:49>> and so when there's
23:50>> 33 of them
23:50>> you when you so when you're designing
23:52these you get to Raptor one you see its
23:54efficiency you see where you can improve
23:56it you get to Raptor 2 how many how far
23:59can you scale this up with just the same
24:01sort of technology with propellant and
24:04ignition and engines like how much
24:06further can you
24:08>> I mean we're pushing the limits of
24:09physics here um so um
24:14and and really in order to to make a a
24:18fully reusable orbital rocket which no
24:20one has succeeded in doing uh yet
24:22including including us. Um but but uh
24:26Starship is the first time that there is
24:28a design for a rocket where where full
24:30and rapid reusability is actually
24:32possible. So it was not there's not
24:35there's not even been a design before
24:37where it was possible. Certainly not a
24:38design that that that got made any
24:41hardware at all. Um just we just we just
24:44live we live on a planet uh where the
24:45gravity uh is is is quite high like
24:49earth's gravity is quite really quite
24:51quite high. Um um and if the gravity was
24:55even 10 or 20% uh higher uh we'd be
24:59stuck on Earth forever. Um like we yeah
25:02we could not use certainly couldn't use
25:03conventional rockets. You'd have to like
25:04blow yourself off the surface with like
25:06a nuclear bomb or something crazy. Um so
25:09but on the other hand if if Earth's
25:11gravity was just a little lower like
25:14even 10 20% lower it then uh getting to
25:16orbit would be easy. So it's like it's
25:18like it's like this if this was a video
25:20game it's set to like maximum difficulty
25:23but not impossible.
25:25>> Okay.
25:25>> Um so that's that's where we have um
25:28here. So it's it's not as though um
25:31others have uh ignored the concept of
25:34reusability. they've just uh concluded
25:36that it was too difficult to achieve.
25:39And we've been working at on on this for
25:41a long time at at SpaceX. Um and um you
25:46know, I'm the chief engineer of the
25:47company. Um although I should say that
25:50that uh you know, we have an extremely
25:52talented engineering team. I think we've
25:53got the best uh rocket engineering team
25:56that has ever been assembled. Um uh it's
25:59it's an honor to work with such such
26:00incredible people. Um so uh so so it's
26:05fair to say that you know we have not
26:08yet succeeded in creating in achieving
26:09full reusability but we at last have a
26:12rocket uh where full reusability is
26:15possible. Um and I think I think we'll
26:19achieve it next year. So um
26:23uh that's a that's a really big deal.
26:25And the reason the reason that's that's
26:26such a big deal is that full reusability
26:29um uh drops the cost of access to space
26:34by a hundred
26:37um maybe even more than 100 actually. So
26:40could be like a thousand. The you can
26:42think of it like any mode of transport.
26:44Like imagine if aircraft were were not
26:47reusable. Like you flew somewhere, you
26:49throw the plane like like imagine if
26:51like the way the way conventional
26:52rockets work is it would be like if you
26:54had an airplane and and and instead of
26:56landing at your destination, you
26:58parachute out um and the plane crashes
27:01somewhere and you land at your desk and
27:03you and you land on a parachute at your
27:04destination. Now that would be a very
27:06expensive trip [laughter]
27:08and you and you'd need another plane to
27:10get back. Okay. Um, but that's how the
27:13other rockets in the world work. Um, now
27:16the SpaceX Falcon rocket is the only one
27:19that is is there that is at least mostly
27:21reusable. You've se you've seen the
27:22Falcon rocket, you know, land. We've now
27:25done over 500 landings of of the SpaceX
27:27rocket of the of the Falcon 9 rocket. Um
27:32and um and and this year um you know we
27:36we'll deliver probably I don't know
27:41somewhere between 2200 and 2500 tons to
27:43orbit um with with the Falcon 9 uh
27:46Falcon Heavy rockets uh not counting
27:48anything for from Starship. Um
27:51>> and this is mostly Starlink. Yes, mostly
27:54Starling, but we launch uh many other we
27:57even launch our competitors on um
27:59competitors to Starink on on Falcon 9.
28:01We charge them the same price. Pretty
28:03fair. Um uh but uh SpaceX this year will
28:07deliver um roughly 90% of all Earth mass
28:09to orbit.
28:11>> Wow.
28:11>> Um and then of the remaining 10% um most
28:15of that is done by China. And then the
28:18then the remaining kind of roughly 4% is
28:21uh everyone else in the world including
28:22our America uh domestic competitors.
28:25>> You know um it's kind of incredible how
28:28many things are in space like how many
28:31things are floating above us now?
28:32>> There's a lot of things.
28:33>> Yeah.
28:34>> Is there though?
28:35>> Right.
28:37But is there a saturation point where
28:39we're going to have problems with all
28:40these different satellites that are
28:43>> um I think as long as the satellites are
28:46um maintained uh there's there it'll be
28:49fine. This space is very roomy. Um it's
28:53like you can think of um like space as
28:57being concentric shells of the surface
28:58of the earth. So, um, you know, there's
29:03there's it's the surface of the earth,
29:04but but there's it's a series
29:06>> much larger.
29:06>> Yeah. It's like a series of concentric
29:08trails. Um,
29:09>> and think of an Airstream trailer flying
29:11around up there. There's a lot of room
29:12for air streams.
29:14>> Yeah. I mean, imagine Yeah. If there
29:16just a few thousand airirstreams um on
29:18on Earth.
29:19>> Yeah.
29:19>> What are the odds that they'd hit each
29:20other? You know,
29:20>> they wouldn't be very crowded. No. And
29:22then you got to go bigger.
29:24>> Yeah.
29:24>> Because you're dealing with far above
29:26Earth.
29:26>> Hundreds of miles above Earth.
29:28>> Yeah. Yeah. Yeah.
29:29>> Yeah. So, it's the um but the goal of
29:32SpaceX is to get rocket technology to
29:36the point where we can extend life
29:37beyond Earth and that we can establish a
29:39self-sustaining city on Mars. Uh a
29:42permanent base on the moon. That would
29:43be very cool. I mean, imagine if we had
29:44like a, you know, moon base alpha where
29:47there's like a permanent science base on
29:48the moon.
29:49>> That would be pretty dope. Or at least a
29:51tourist trap.
29:52>> I mean, a lot of people be willing to go
29:55to the moon for just for a tour. That's
29:58for sure. We could probably pay for our
29:59space program with that, you know,
30:01>> probably. Yeah. Well,
30:02>> because it's like if if you if you could
30:03go to the moon with and and safely,
30:08>> uh
30:09I think we'd get a lot of people uh
30:11would would pay for that, you know.
30:12>> Oh, 100%. After the first year, after
30:15nobody died for like
30:16>> Yeah. Just make sure. [laughter]
30:17Exactly. Are you going to come back?
30:18Yeah.
30:18>> Because like that submarine, they they
30:20had a bunch of successful launches in
30:23that private submarine before it
30:24imploded and killed everybody. That was
30:26not a good design. Obviously,
30:28>> it was a very bad design. Terrible
30:29design.
30:29>> And the engineers said it would not
30:31withstand the pressure of those depths.
30:32Like there was a lot of whistleblowers
30:34in that company too.
30:36>> Yeah. Um they they they made that out of
30:38uh carbon fiber which is it doesn't make
30:40any sense because um you actually need
30:43you need to be dense to go down. Um in
30:46any case, just make it out of steel. If
30:47you make it out of uh sort of just, you
30:50know, a big steel casting, that's that's
30:53you you'll be safe and nothing. Why
30:55would they make it out of carbon fiber
30:56then? Is it cheaper?
30:57>> Um I think they think carbon fiber
30:59sounds cool or something. But uh
31:00>> it does sound cool.
31:01>> It it sounds cool, but um because it's
31:04such it's such low density, you actually
31:06actually have to add extra mass to go
31:08down because it's it's low density. But
31:10if you just have a giant, you know,
31:12hollow ball bearing, uh you're going to
31:14be fine.
31:15>> Speaking of carbon fiber, did you check
31:16out my unplugged Tesla out there?
31:18>> Yeah, it's cool.
31:19>> Pretty sick, right? Yeah. Have you guys
31:20ever thought about doing something like
31:22that? like having like an AMG division
31:23of Tesla where you do like custom stuff.
31:28>> Um
31:29I think it's best to leave that to the
31:31custom shops. Uh you know we're we're
31:35like Tesla's focus is autonomous cars.
31:38Um you know building kind of futuristic
31:40autonomous cars. Um
31:44so
31:46um
31:48like I think it's we want the future to
31:50look like the future. Um, so the did
31:53like did you see like our designs for
31:54like the sort of the robotic bus? It
31:58looks pretty cool.
32:00>> The robotic bus is also being totally
32:02auton
32:08but it looks it looks cool. It's it's
32:09very art deco. It's it's like it's like
32:11futuristic art deco. Um, and um,
32:16it it does it like I think we want to
32:19change the aesthetic over time. You
32:21don't want the aesthetic to be constant
32:23over time. You want to evolve the
32:25aesthetic. Um, so um, you know, like my
32:30like I have a son who's he's like, you
32:32know, he's he's he's like even more
32:34autistic than me and um and, uh, but
32:37he's he has these great observations.
32:39Who is this?
32:40>> A Saxon. He has these great observations
32:42in the world uh because he's he just
32:44views the world through a different lens
32:47than than most people. Um and he was
32:49like, "Dad, why does the world look like
32:51it's 2015?" [laughter]
32:53[clears throat]
32:55>> And I'm like, "Damn, the world does look
32:57like it's 2015." Like the aesthetic has
32:59not evolved since 2015.
33:00>> Oh, that's what it looks like.
33:01>> Yeah.
33:02>> Oh, wow.
33:03>> That's pretty cool.
33:04>> Oh, yeah. That's like
33:05>> like You'd want to see that going down
33:06the road, you know?
33:07>> Yeah. You'd be like, "Okay, this is
33:09we're in the future." You know, it
33:11doesn't look like 2015.
33:12>> What is that ancient science fiction
33:14movie? Like one of the first science
33:15fiction movies ever. Is it Metropolis?
33:17Is that what it is?
33:17>> Yeah. Yeah.
33:18>> Yeah. That looks like it belongs in
33:19Metropolis.
33:20>> Yeah. Yeah. It's a futuristic art deco.
33:24>> All right. Yeah. Well, that's cool that
33:25you're concentrating on the aesthetic. I
33:27mean, that's kind of the whole deal with
33:29Cybertruck, right? Like, it didn't have
33:30to look like that.
33:31>> No, it it I just wanted to have
33:33something that looked really different.
33:35Is it a pain in the ass for people to
33:36get it insured because it's all solid
33:38steel and
33:40>> um I hope it's not too much. I you know
33:41Tesla does offer insurance so people can
33:43always get it get it insured at Tesla.
33:45>> Um well but the like it is the form does
33:49follow a function in the case of the
33:51cybert truck because um as you
33:53demonstrated with with your
33:54armorpiercing arrow um because if you
33:57shot that arrow at a regular truck I
33:58mean
33:59>> it [laughter]
34:00exactly you would have found your arrow
34:01in the wall. Yeah. Um, you know, it
34:04would very least it would have buried
34:05into one of the seats.
34:06>> Yeah. Yeah. It's but like you could you
34:08could definitely make uh get enough of
34:11bow velocity and and the right the right
34:13arrow would go through both doors of a
34:15regular truck and and and land on the
34:17wall.
34:18>> If there was a clear shot between both
34:19doors, it probably would have passed
34:20right through.
34:21>> Exactly. Um but but you know the the
34:24arrow shattered on the cybert truck cuz
34:25it's it's ultra hard uh stainless. Mhm.
34:28>> Um, so, um, and I thought it' be I
34:32thought it'd be cool to have a, you
34:35know, a truck that is bulletproof to a
34:36subsonic projectile. Um, so, um, you
34:40know, especially in this day and age,
34:41you know, like as as a if, if the
34:43apocalypse happens, you're going to want
34:45to have a bulletproof truck, you know.
34:48Um, so so then because because it's made
34:51of ultra hot stainless, it's you can't
34:53just stamp the the panels. You can't
34:55just put in a stamping press because it
34:56breaks the press.
34:58So, so in order to actually, so it has
35:01to has to be planer
35:03um because it's so difficult to bend it
35:05because it breaks the machine that bends
35:07it. Um that's why that's why it's it's
35:10it's it's so planer and and it's not uh
35:13you know it's it's because it's
35:16bulletproof steel is the
35:18>> So it is like boxy as opposed to like
35:20curved and
35:22>> Yeah. You just in order to make in order
35:24to make like the curved shapes, you you
35:25you take you take uh uh basically mild
35:29steel like um anneal thin and thin
35:32anneal in a regular truck or car. The
35:36you take you take mild thin anneal
35:38steel, you put it in a stamping press
35:39and it just sm it just smooshes it and
35:42makes it to whatever the shape whatever
35:43shape you want. But the Cybert truck is
35:46made made of ultra hard stainless. Um
35:49and and and so you can't stamp it
35:52because it would break the stamping
35:53press.
35:55So it even bending it is hard. So even
35:58to bend it to uh its current position,
36:00we have to way overbend it. Um and and
36:04so it gets so that when it springs back,
36:06it's in in the right position.
36:08Um, so it's uh I don't know like I I
36:11think if you want to like I think it's
36:13it's it's a unique aesthetic. Um, and
36:16you say, "Well, what's cool about a
36:17truck?" Trucks are trucks are like
36:20should be I don't know manly. They
36:22should be macho, you know, and
36:24bulletproof is maximum macho macho.
36:27>> Are you married to that shape now? Like
36:30is it can you do anything to change it?
36:32Like as you get further like I know you
36:34guys updated the three and the Y. Did
36:37you update the Y as well?
36:38>> Yes, the the three and the Y uh are
36:40updated. Um you know, there's like a um
36:45there's there's a a screen in the back
36:46for the kid that the kids can watch, for
36:48example, in the new 3 and Y. Um uh so in
36:53the new Y, um there's, you know, it's
36:56it's an there's there's there's like
36:58hundreds of improvements. Like we keep
36:59improving the car. Um and even the
37:01Cybert truck, we you know, we keep
37:02improving it. Um but um
37:07you know I wanted to just do something
37:08that that looked unique and and the
37:10cybert truck looks unique and has unique
37:13functionality and there was and it was
37:16like there were three things as I report
37:18like let's make it bulletproof. Uh let's
37:21uh make it faster than a Porsche 911.
37:24Uh, and we actually cleared the quarter
37:25mile. The Cybert truck, the the uh can
37:29uh clear a quarter mile while towing a
37:32Porsche 911 faster than a Porsche 911.
37:38Um, it can out tow an F350 diesel.
37:43>> Really?
37:44>> Yes.
37:44>> What is the tow limitations?
37:46>> I mean, we could tow like a, you know, a
37:49747 in that with a cy. Cybert truck is
37:52an insanely like it is an it is alien
37:55technology. Okay. Um cuz it it shouldn't
37:59be possible to be uh that big and that
38:03fast. Uh that doesn't it's like an
38:05elephant that runs as as like a cheetah.
38:08>> Yeah. Because it's 0 to 60 in less than
38:103 seconds, right?
38:11>> Yes.
38:11>> Yeah. And it's enormous. What does it
38:13weigh? Like 7,000 lbs.
38:15>> Uh yeah, there's different
38:16configurations, but it's about that.
38:19Uh it's a beast.
38:21>> Yeah. [clears throat]
38:22>> Um so and it's and it's got it's got
38:25four-wheel steering. So the the rear
38:27wheel steer, too. So it's got a it's got
38:30a very tight turning radius.
38:32>> Yeah. We noticed that we when we drove
38:33one to Star Base.
38:35>> Yeah. Very tight turning radius.
38:36>> Yeah. Pretty sick.
38:37>> Yeah.
38:37>> Are you still doing the Roadster?
38:41>> Yes. Eventually,
38:44>> we're getting close to
38:47demonstrating the prototype
38:50>> and I think this will be
38:53I I I I one thing I can guarantee is
38:56that this product demo will be
38:59unforgettable.
39:02Unforgettable.
39:03>> How so?
39:07Whether it's good or bad, [laughter]
39:10it will be unforgettable.
39:13[gasps]
39:14Um,
39:15>> can you say more? What do you mean?
39:18>> Well, you know, my friend Peter Teal,
39:19um, you know, uh, once reflected that
39:24the future was supposed to have flying
39:25cars, but we don't have flying cars.
39:30>> So, you're going to be able to fly?
39:31Well, I mean,
39:34uh,
39:36I think if Peter wants a flying car, we
39:38should should be able to buy one.
39:42>> So, you are you actively considering
39:44making an electric flying car? Is this
39:46like a real thing?
39:48>> Well, we have to see in the
39:49>> in the demo. So, when you do this, like
39:52are [snorts] are you going to have a
39:54retractable wing? Like, what is the idea
39:56behind this?
40:00Don't be sly. Come on.
40:02>> I I I can't I can't uh do the unveil
40:05before the unveil. Um but um
40:08>> tell me off air then.
40:09>> I I I it look I I think it has a shot at
40:14being the most memorable
40:17um product unveil
40:21ever.
40:22It has a shot.
40:24>> And when do you plan on doing this?
40:26What's the goal?
40:28>> Uh hopefully before the end of the year.
40:31>> Really?
40:32>> Before the end of this year.
40:34>> This is I mean we're in a couple months.
40:36>> Hopefully in a couple months. Um
40:40you know we need to make sure that it
40:42works. Uh
40:46like this is some crazy crazy technology
40:48we got in this car. Crazy
40:51technology. Crazy crazy.
40:54So different than what was previously
40:58announced and
41:00>> Yes.
41:01>> And is that why you haven't released it
41:02yet? Cuz you keep [ __ ] with it.
41:06>> It has crazy technology.
41:07>> Okay.
41:08>> Like is it even a car? I'm not sure.
41:10It's like
41:13it looks like a car.
41:16Let's just put this way. It it's it's
41:18crazier than anything James Bond. If you
41:20took all the James Bond cars and
41:24combined them, it's crazier than that.
41:28>> Very exciting.
41:30>> I don't know what to think of that.
41:32>> I don't know.
41:32>> It's a limited amount of information I'm
41:34drawing from here.
41:35>> Jamie's very suspicious over there. Look
41:37at him.
41:38>> Excited.
41:39>> I'm interested. [laughter]
41:40>> It's still going to be the same.
41:41>> Well, you know what? I mean, if if you
41:42want to if you want to come a little
41:43before the uh the unveil, I can show it
41:46to you 100%. Yeah, let's go.
41:48>> Yeah. Um
41:51it's uh it's kind of crazy all the
41:54different things that you're involved in
41:56simultaneously and you know we talked
41:57about this before your time management
41:59but I I really don't understand it. I
42:02don't understand how you can be paying
42:05attention to all these different things
42:08simultaneously. Starlink, SpaceX, Tesla,
42:11boring company X you're tweet you
42:14[ __ ] tweet or post rather all day
42:16long. Well, it's more like I'm I'm I
42:18could hop in for like two minutes and
42:20then hop out, you know.
42:21>> But I mean, just the fact that you could
42:22do
42:22>> bathroom break or whatever, you know,
42:24>> I can't do that.
42:25>> Um
42:26>> if I hop in, I start scrolling and I
42:28start looking around. Next thing you
42:29know, I've lost an hour.
42:30>> Yeah.
42:31>> Um
42:33so, no, it's for me it's it's a couple
42:35minutes time usually. It's once in a
42:37Sometimes I guess it's half an hour, but
42:38usually I'm I'm I'm in for a few minutes
42:40then out of of you know, posting
42:42something on X. Uh, you know, it's I do
42:45sometimes feel like it's sometimes like
42:47that that meme of the guy who's like who
42:48drops the grenade and leaves the room.
42:50[laughter]
42:52That's been me more than once on on X.
42:56>> Yeah. [laughter] Oh, yeah. Yeah, for
42:58sure. Um, it's got to be fun, though.
43:01It's got to be fun to know that you
43:04essentially disrupted the entire social
43:07media chain of command because there was
43:10a there was a very clear thing that was
43:13going on with social media. The
43:14government had infiltrated it. They were
43:17censoring speech
43:18>> and until you bought it, we really
43:20didn't know the extent of it. We kind of
43:21assumed that there was something going
43:23on.
43:23>> Yeah. We had no idea that they were
43:24actively involved in censoring actual
43:27real news stories, real data, real
43:30scientists, real professors silenced,
43:32expelled, kicked off the platform.
43:34>> Yeah.
43:35>> Wild.
43:37>> Yeah.
43:37>> Yeah.
43:38>> For telling the truth.
43:39>> For telling the truth. And I'm sure
43:40you've also because I sent it to you
43:42that chart that shows uh young kids,
43:45teenagers identifying as trans and
43:48non-binary literally stops dead when you
43:51bought Twitter and starts falling off a
43:53cliff when people are allowed to have
43:55rational discussions now and actually
43:57talk about it.
43:58>> Yes.
43:58>> Yeah.
43:59>> Um Yeah. Yeah, I mean I I said at the
44:01time like I think that like the the like
44:04the reason for acquiring Twitter is
44:05because um it was it it was c it was
44:10causing destruction at a civilizational
44:11level. Um it was um I mean I posted I
44:15tweeted on on Twitter at the time that
44:17um it it is um
44:22you know it's it's
44:25uh worm tongue for the world.
44:28um you know like Worm Tongue from Lord
44:30of the Rings uh where he would just sort
44:32of like whisper these you know terrible
44:36things to the king so the king would
44:38believe these things that weren't true
44:40um and and um unfortunately uh Twitter
44:45really got it got like the the the woke
44:49mob essentially they controlled Twitter
44:52um and they were pushing uh a nihilistic
44:55anti-vilizational mind virus to the
44:58world. Um, and you can see the results
45:00of that mind virus on the streets of San
45:02Francisco, uh, where, you know, downtown
45:05San Francisco looks like a zombie
45:07apocalypse. Um, you know, it's it's bad.
45:10Um, so we don't want the whole world to
45:12be a zombie apocalypse. Um, but that's
45:15uh that that that was essentially they
45:18were pushing this very negative,
45:21nihilistic, untrue worldview
45:24on the world and it was causing a lot of
45:26damage.
45:27Um,
45:29so
45:30>> the stunning thing about it is how few
45:32people course corrected. A bunch of
45:34people woke up and realized what was
45:35going on. People that were all on board
45:37with like woke ideology in maybe 2015 or
45:4016 and then and then eventually it comes
45:42to affect them or they see it in their
45:44workplace or they see and they're like,
45:45"Whoa, whoa, whoa, we got to stop this."
45:47Bunch of people did, but a lot of people
45:49never course corrected.
45:52>> Yeah. Um,
45:54a lot of a lot of people didn't course
45:55correct, but um, but it's gone
45:58directionally in it's gone it's it's
46:00directionally correct like you mentioned
46:01like the like the massive spike in in
46:04kids identifying as trans and then that
46:07that spike dropping um after the the
46:10Twitter acquisition. I think that um
46:13simply allowing the truth to be told um
46:16was that just shedding sun sunlight is
46:18the best disinfectant as they say and
46:21just allowing sunlight um kills the
46:24virus
46:24>> and it also changed the benchmark for
46:27all the other platforms. Yes, you can't
46:29just openly censor people and all the
46:31other platforms and X is available. So
46:33everybody else had a So like Facebook
46:35announced they were changing YouTube
46:37announced they were changing their
46:39policies and they're kind of forced to
46:41And then blue sky doubled down.
46:43[laughter]
46:44>> Well, like the problem is like if
46:47>> uh essentially the woke mind virus
46:49retreated to woke to to blue sky.
46:51>> Yeah.
46:52>> Um but it's where they're just a
46:54self-reinforcing lunatic assign.
46:56>> They're all just triple masked. I
46:57[laughter] I was I was totally watching
47:00this exchange on a blue sky where
47:03someone said that they're just trying to
47:04be zen about something and then someone
47:07a moderator immediately chimed in and
47:09why don't you try to stop being racist
47:11against Asians by saying something zen
47:14by saying I'm trying to be zen about
47:17something. They were accusing that
47:19person of being racist towards Asians.
47:21>> Yeah. It's it's just it's just
47:23everyone's a hall monitor over
47:24[laughter] there. the worst hall
47:26monitor. A virgin like incel.
47:30>> They're all home monitors trying to rat
47:32on each other.
47:33>> Yeah, it's [laughter] fascinating. And
47:35then people say, "I'm leaving for blue
47:36sky like Stephen King." And then a
47:38couple weeks later, he's back on X. Just
47:40like, "Fuck it. It's there's no one over
47:42there. It's all a bunch of crazy people.
47:43You can only stay [laughter] in the
47:44asylum for so long. Like, all right,
47:47this this is not good." They all bail.
47:50>> Yeah. Yeah.
47:50>> Threads is kind of like that, too.
47:52Threads is
47:53>> I' I've been on threads as is it? Well,
47:56what happens is if you go on Instagram,
47:58every now and then it'll something
47:59really stupid will pop up on threads
48:01like what the [ __ ] and it shows it to
48:03you on Instagram and then I'll click on
48:05that and then I'll go to threads and
48:06it's like
48:07>> you see posts with like 25 likes like
48:11famous people like 50 like it's it's
48:14down
48:14>> but the people that post on there
48:16they're finding that there's very little
48:18push back from insane ideology so they
48:21go there and they spit out nonsense and
48:23very few people jump in to argue. you.
48:27>> Yeah. Um,
48:28>> very weird, very weird place.
48:29>> I mean, I can generally get the vibe of
48:31like what's taking off by seeing what's
48:33showing up on X cuz that's the public
48:34town square still. Um,
48:36>> and uh or or uh you know what what links
48:40show up in group texts, you know, if I'm
48:42in group chat with friends, like where
48:43where what what links are showing up?
48:45>> That's what I try to do now. Only get
48:47stuff that shows up in my group text
48:49because that keeps me productive. So, I
48:51only check if someone's like, "Dude,
48:53what the fuck?" like, "All right, what
48:54the [ __ ] Let me check it out."
48:56>> If there's something that's crazy enough
48:57that your it'll it'll end with the group
48:59chat,
48:59>> but there's always something. That's
49:01what's nuts. There's always some new law
49:04that's passed, some new insane thing
49:06that California is doing. And it's like
49:08like a giant chunk of it's happening in
49:10California. The most preposterous things
49:12that I get. [sighs]
49:13>> Yeah.
49:14>> And then you got Gavin Newsome who's
49:16running around saying we all have
49:17California derangement syndrome. He's
49:19just like ripping off Trump derangement
49:21and calling it California derangement. I
49:22was like, "No, no, no, no, no, no. The
49:25the [ __ ] How many corporations have
49:27left California?"
49:29>> It's crazy.
49:29>> Hundreds. Hundreds,
49:30>> right? Hundreds.
49:32>> That's not good.
49:32>> Chick I mean, not Chick-fil-A. I mean,
49:34uh I think In-N-Out left.
49:36>> Yeah. In and Outlift. They moved to
49:37Tennessee.
49:38>> Yeah.
49:38>> Yeah. They're like, "We can't do this
49:40anymore."
49:41>> Right. And
49:42>> it's the California company for food.
49:44It's like the greatest hamburger place
49:46ever.
49:46>> It's awesome.
49:47>> Yeah.
49:47>> Yeah. And no, actually speaking of like
49:49like just sort of open source and like
49:51looking at things openly like you I just
49:53like going in and out and seeing them
49:55make the burger.
49:55>> Yeah. It's right there.
49:56>> They chop the onions and they they you
49:58know it's you just see everything
50:00getting made in front of you.
50:01>> Yeah.
50:02>> It's great.
50:03>> Um but yeah [laughter] like like it
50:05should be like how many wakeup calls do
50:07you need to say that there needs to be
50:08reform in California, you know?
50:09>> Well, the crazy thing that Newsome does
50:11is whenever someone brings up the
50:13problems in California, he starts
50:15rattling off all the positives. the most
50:16Fortune 500 companies, highest
50:18education. But yeah, that was all
50:22already there, right before you were
50:24governor.
50:24>> But but how many Fortune 500 companies
50:27have left California?
50:28>> And then you guys spent $ 24 billion on
50:31the homeless and it got way worse.
50:33>> Yes. Like the homeless population
50:35doubled or something like but like
50:37people don't understand like the
50:38homeless thing because it it sort of
50:39prays on people's empathy and I I think
50:41we should have empathy. Um and we should
50:43try to help people. Um but the the the
50:46uh the homeless industrial complex is is
50:48really it's it's it's dark man. Um it
50:52should be that that that that network of
50:55NGOs's should be called like the drug
50:56zombie farmers. Um because they they the
51:00the more homeless people and and and
51:02really like when you when you meet like
51:05you know somebody who's like totally
51:07dead inside shuffling along down the
51:09street with a with a needle dang
51:11dangling out of their leg. Homeless is
51:13the wrong word. Like the homeless
51:15implies that somebody got a little
51:16behind in their mortgage payments and if
51:18they just got a job offer, they'd be
51:19back on their feet. But someone who's
51:23I mean, you see these videos of people
51:24that are just shuffling, you know,
51:25they're on fentanyl. They're they're
51:27like,
51:28>> you know, taking a dump in the middle
51:30[clears throat] of the street, you know,
51:32and they they got like open sores and
51:34stuff.
51:35>> They're not like one drop offer away
51:37from getting back on their feet,
51:38>> right? This is not a homeless issue.
51:40>> Homeless is it's it's a propaganda word,
51:42>> right? Um so and and then the the the
51:45the
51:47you know these sort of charities uh
51:50inquiries are they they get money
51:52proportionate to the number of homeless
51:55people or or number of drug zombies.
51:57>> So their incentive structure is to
51:59maximize the number of drug zombies not
52:02minimize it.
52:03>> Um that's why they don't arrest the drug
52:06dealers
52:07>> because if they arrest the drug dealers
52:08the drug zombies leave.
52:11So they know who the drug dealers are.
52:13They don't arrest them on purpose. Uh
52:16because otherwise the drug zombies would
52:18leave and they would they would stop
52:20getting money from the state of
52:21California and from from all the
52:22charities.
52:22>> Wait a minute. So So they So they is
52:25that real? So they're in coordination
52:27with law enforcement on this?
52:29>> Yeah.
52:30>> So how do they how do they have those
52:32meetings?
52:32>> They're all in cahoots.
52:34>> Well, when you find this
52:35>> it's like such it's it's this is a
52:37diabolical scam. Um so uh and and San
52:41Francisco has got this tax this this
52:42gross receipts tax uh which which um
52:46it's not even on revenue, it's on old
52:47transactions which is why Stripe um and
52:50Square and and and a whole bunch of
52:52financial companies had to move out of
52:53San Francisco because it wasn't a tax on
52:55revenue, it's taxed on transactions. So
52:57if if you did like, you know, trillions
52:59of dollars transactions, it's not
53:00revenue. You're taxed on any money going
53:01through the system in San Francisco. Um
53:05so um like Jack Dorsey pointed this out
53:07and they said like that they had had to
53:09move Square from San Francisco to uh
53:12Oakland I think uh Stripe had to move
53:14from San Francisco to South San
53:15Francisco different city. Um and that
53:18money uh goes to the homeless industrial
53:21complex that that tax that was passed.
53:24Um so um so there's billions of dollars
53:27that go as you pointed out billions of
53:29dollars every year that go to uh these
53:32um non-governmental organizations that
53:35are funded by the state. Like there's
53:36it's not clear how to turn this off. Um
53:39it's a self-licking ice cream cone
53:41situation. Um so uh they get this money
53:45the money is proportionate to the number
53:47of of homeless people or or number of
53:51drug zombies essentially. Um, so they
53:54they they try to keep the that they try
53:55to actually increase because that like
53:58like in in some cases like there's it's
54:00it's somebody did an analysis when you
54:02add up all the money that's flowing,
54:04they're getting close to a million
54:05dollars per homeless per per drug
54:07zombie. It's like $900,000 or something
54:09like some crazy amount of money is is is
54:12going to these organizations. So if if
54:14so so they want to keep people just
54:17barely alive. They need to keep them in
54:19the area so they so they they get the
54:21revenue. Uh uh so and so that's why like
54:25said they don't arrest the drug dealers
54:27because otherwise the drug zombies would
54:29leave um and and and and they but but
54:33they don't want you have to have too
54:34much if they get too much drugs and they
54:36then they die. So it's they they're kept
54:38in this sort of perpetual
54:40zone of of being addicted but um but but
54:44just just barely alive.
54:45>> So how is this coordinated with like DAs
54:48DAs that don't prosecute people? So when
54:50they when they hire the or they push so
54:54they they fund the campaigns of the most
54:56progressive, most out there leftwing
54:59DAS, they get them into office.
55:01>> We've got that issue in Austin, too, by
55:02the way.
55:03>> You see that guy that got shot in the
55:04library?
55:05>> No.
55:05>> Yeah, I heard a guy got shot and killed
55:07in the library.
55:08>> I think that was just like last week or
55:11something,
55:11>> right?
55:12>> Um so some friends of mine were telling
55:15me that that like the library is unsafe.
55:16like they took their kids to the library
55:18and and there were like dangerous people
55:20in the library in Austin and I was like
55:23dangerous people in the library like
55:25that's a strange it basically got like
55:27got like uh drug zombies in [laughter]
55:30drug zombies in the library.
55:31>> Oh Jesus.
55:32>> Um
55:32>> and that's when someone got shot.
55:34>> Yeah, I believe this was should be on
55:36the news. You might might be able to
55:37pull it up. Um but I think it was just
55:39in the last week or so that uh uh there
55:42was a shooting in the library in Austin.
55:46Um cuz Austin's got, you know, it's it's
55:49the most liberal part of Texas that
55:50we're in right right here. Um
55:54>> so suspect involved the shooting Austin
55:55Park Library Saturday is accused of
55:57another shooting at the Cap Metro bus
55:59earlier that day. According to an arrest
56:01warrant affidavit, Austin police
56:02arrested Harold Newton Keen, 55 short uh
56:06shortly after the shooting of the
56:08library, which occurred around noon. One
56:10person sustained non-life-threatening
56:12injuries in the event. Before that
56:13shooting, Keane was accused of shooting
56:15another person in a bus incident and
56:18after reportedly pointing his gun at a
56:20child. So, this is the fella down here.
56:23>> So, like we just have a seriously have a
56:25problem here. Um
56:26>> yeah,
56:27>> you know, so I I think one of the people
56:29might have died too that he shot. Um so,
56:33um like one of the people I think I
56:36think did bleed out. Um
56:39>> but either way, it's like getting shot
56:40is still bad. Um it says uh the victim
56:43told police it confronted the suspect
56:45who started to eat what appeared to be
56:47crystal methamphetamine.
56:48According to the affidavit the victim
56:50advised the suspect uh began to trip out
56:54at which time the victim exited the bus.
56:57Victim told the bus driver hit the panic
56:58button and then exited the bus when he
57:00turned around the observer. Black male
57:01was now standing at the front of the bus
57:03with the gun pointed at him. The victim
57:05advised the black male fired a single
57:07round which grazed his left hip. So he
57:10shot at that dude and then another dude
57:13got shot in the library. Fun.
57:16>> Yeah. I mean in the library.
57:18>> Yeah.
57:19>> You know, where you're supposed to be
57:20reading books. Um and there's a
57:23children's section in the library and
57:24says he pointed his gun at a at a kid. I
57:26mean like we do have a serious issue in
57:28the in in in America where um repeat
57:31violent offenders need to be
57:32incarcerated,
57:33>> right? Um, and uh, you know, you got you
57:36got cases where somebody's been arrested
57:38like 47 times, right? Like literally.
57:40Okay, that's just the number of times
57:41they were arrested, not the number of
57:43times they did things. Like most of the
57:45times they do things, they're not
57:46arrested. Um,
57:47>> so lay this out for people so they
57:49understand how this happens.
57:52>> Yeah. And and the key is like this, it
57:54prays on people's empathy. episode like
57:56if you're a good person, you want good
57:57things to happen in the world, you're
57:58like, well, we should take care of
58:00people who uh you know uh you know who
58:04are down in their luck or you know
58:06having a hard time in life. And I we
58:08should I agree. But what we shouldn't do
58:10uh is is put people who are violent drug
58:13zombies uh in public places where they
58:16can hurt other people. Um, and that's
58:18what that is what we're doing that we
58:20just saw where a a guy, you know, got
58:23shot uh shot in the library and then but
58:26even before that he shot another guy um
58:28and pointed his gun at a kid. Um that
58:32that that guy probably has like many
58:33prior arrests. Um you know there was
58:36that that that guy that that that knifed
58:38uh the Ukrainian woman Arena.
58:40>> Yes.
58:41>> Um yeah. and you know um and she was
58:44just she was just quietly on her phone
58:45and you just came up and you know gutted
58:48her basically.
58:49>> Wasn't there a crazy story about the
58:52judge who was involved who had
58:54previously
58:56dealt with this person was also invested
59:00in a rehabilitation center and was
59:02sending these
59:04>> conflict of interest.
59:05>> Yes. So sending people that they were
59:07charging Yeah. to a rehabilitation
59:10center instead of putting them in jail,
59:12profiting from this rehabilitation
59:14center, letting them back out on the
59:16street. Yes. Violent, insane people.
59:18>> And and there um in that case that I
59:21believe that judge uh has no legal law
59:23degree uh or a significant legal
59:26experience that would allow them to be a
59:27judge. They were just made a judge. That
59:29there's like
59:30>> you could be a judge without a law
59:31degree.
59:32>> Yeah.
59:32>> Wow.
59:33>> Yeah.
59:34>> You could just be a So I could be a
59:35judge.
59:36>> Yeah. Oh,
59:38exciting.
59:38>> Anyone?
59:39>> That's crazy. I thought you'd have to
59:41It's like if you want to be a doctor,
59:43you have to go to medical school. I
59:44thought if you're going to be a judge,
59:46>> if you're going to be appointed to a
59:47judge, you have to have proven that you
59:49have an uh excellent knowledge of the
59:51law and that you will make your
59:53decisions according to the law. That's
59:55what we assume should be.
59:57>> That's how you get the robe,
59:58>> right?
59:59>> You don't get the robe unless you do,
1:00:01>> you know,
1:00:02>> got to go to school to get the robe.
1:00:03>> You got to know what the law is,
1:00:04>> right? And then you're going to need to
1:00:06make decisions in accordance with the
1:00:08law
1:00:08>> based on stuff that you already know cuz
1:00:10you read it cuz you went to school for
1:00:11it. Yes. Not you just got appointed.
1:00:13>> Got vibes. [laughter]
1:00:16You can't be just vibing as a judge.
1:00:18>> Vibing as a leftwing drudge. So you got
1:00:20crazy leftwing DAS.
1:00:22>> Yes.
1:00:23>> Like I should say leftwing cuz leftwing
1:00:26>> used to be normal.
1:00:27>> Yeah. Left wing just meant like like
1:00:29Yeah. You're like the left used to be
1:00:32like pro pro- free speech. Yeah. And now
1:00:34they're against it.
1:00:35>> It used to be like prog gay rights, pro
1:00:37women's right to choose, pro-
1:00:39minorities, pro, you know,
1:00:42>> like, yeah, like 20 years ago, I don't
1:00:45know, it it used to be like left would
1:00:46be like the the the party of empathy or
1:00:48like, you know, caring and being nice
1:00:50and that kind of thing.
1:00:51>> Um, not not the party of like crushing
1:00:54dissent and crushing free speech. um and
1:00:57uh you know crazy regulation uh and and
1:01:01just um and being super judgy u and
1:01:04calling everyone a Nazi um you know um
1:01:07like I think they called you and me
1:01:09Nazis you know
1:01:10>> oh yeah I'm a Nazi [laughter]
1:01:12>> I no I have friends that are comedians
1:01:14that called you a Nazi and I got pissed
1:01:16off Oh yeah yeah yeah definitely a Nazi
1:01:20no because you did that thing at the My
1:01:22heart goes out to you everyone everyone
1:01:25All of them. Literally, Tim Walls, Kla
1:01:28Harris, every one of them did it. They
1:01:30all did it.
1:01:31>> Like, like h how do you point at the
1:01:33crowd? Yeah. How do you wave at the
1:01:35crowd?
1:01:35>> Do you know CNN was using a photo of me
1:01:37whenever I got in trouble [laughter]
1:01:38during co
1:01:40>> from the UFC weigh-ins? And if the UFC
1:01:42weigh-ins, I go, "Hey everybody, welcome
1:01:44to the weigh-ins." [laughter] And so
1:01:45they were getting me from the side. And
1:01:47that was the photo that they used.
1:01:49Conspiracy theorist podcaster Joe Ro.
1:01:51[laughter] Like that's what they used.
1:01:52>> Yeah. Yeah. But that's what the left is
1:01:54today. It's super judgy and calling
1:01:55everyone a Nazi and trying to suppress
1:01:57freedom of speech.
1:01:58>> Yeah. And eventually you run out of
1:01:59people to accuse because people get
1:02:00pissed off and they leave.
1:02:01>> Yeah. Everyone it's like it like it it
1:02:05no longer frankly it doesn't matter to
1:02:07be called racist or Nazi or whatever
1:02:08because
1:02:09>> still recording.
1:02:10>> It's the government man.
1:02:12>> Is it working?
1:02:13>> We're good. Okay.
1:02:14>> Okay.
1:02:15>> This thing working.
1:02:16>> Yeah. Slight issue.
1:02:18>> I'm the one that heard it. But
1:02:19>> yeah. when you uh when you text people,
1:02:21do you are you like keenly aware that
1:02:24there's a high likelihood that someone's
1:02:26reading your texts?
1:02:29>> Um I guess I I guess I
1:02:33>> I assume
1:02:34>> I look if if if if intelligence agencies
1:02:36aren't trying to read my phone, they
1:02:38should probably be fired. [laughter]
1:02:45>> At least they get some fun memes.
1:02:46[snorts]
1:02:48[laughter]
1:02:49I got to I got to crack them up once in
1:02:51a while, you know.
1:02:51>> Oh, for sure. I crack them up.
1:02:53>> There's like, "Hey guys, check it out.
1:02:54We've got a banger here, you know."
1:02:56>> So, [laughter] I want to I wanted to
1:02:58talk to you about uh whether or not
1:03:01encrypted apps are really secure.
1:03:03>> Uh, no. [laughter]
1:03:06>> Right. Cuz I know the Tucker thing. So,
1:03:08it was explained to me by a friend who
1:03:12used to do this, used to work for the
1:03:13government. It's like they can look at
1:03:16your signal, but what they have to do is
1:03:20take the information that's encrypted
1:03:22and then they have to decrypt it and
1:03:24it's very expensive. So they said he
1:03:26told me that for the Tucker Carlson
1:03:27thing when they found out that he was
1:03:28going to interview Putin, it costs like
1:03:30something like $750,000
1:03:33just to decrypt his messages to find out
1:03:36that they did it. So it is possible to
1:03:38do. It's just not that easy to do.
1:03:41I think you should view any given
1:03:43messaging system as um uh not not
1:03:46whether it's secure or not, but but
1:03:48there are degrees of insecurity.
1:03:51So um so there's just some things that
1:03:54are less insecure than others. Um so um
1:03:59you know on on X we just rebuilt the
1:04:01entire messaging stack um into X what's
1:04:04called XChat.
1:04:05>> Yeah, that's what I wanted to ask you
1:04:06about.
1:04:07>> Yeah, it's cool. Um, so it's it's using
1:04:10uh sort of peer-to-peer uh sort of kind
1:04:12of a peer-to-peer based uh uh encryption
1:04:16system. So kind of similar to Bitcoin.
1:04:18Um so it's uh it's it's I think very
1:04:21good encryption. We're and you know
1:04:23we're testing it thoroughly. We're not
1:04:24there's there's no hooks in the X
1:04:26systems for advertising. So if you look
1:04:27look at something like WhatsApp or
1:04:29really any of the others, they've got
1:04:30they've got hooks in there for
1:04:31advertising.
1:04:32>> When you say hooks, what do you mean by
1:04:33that?
1:04:34>> Uh exactly. What do you mean biohook
1:04:36advertising? Um the so like WhatsApp um
1:04:41uh knows enough about what you're
1:04:43texting to show you to show you to know
1:04:46what ads to show you.
1:04:48>> Ah
1:04:48>> but then like that that's a massive
1:04:51security vulnerability.
1:04:52>> Yeah.
1:04:53>> Um because if it knows if if it's got
1:04:55information enough information to show
1:04:56you ads, it's got enough it's got that's
1:04:58a lot of information.
1:04:59>> Yeah.
1:05:00>> Um so they call it oh it's just don't
1:05:02worry about it. It's just a hook for
1:05:03advertising. I'm like uh okay. So
1:05:04somebody can just uh use that same hook
1:05:06to get in there and look at your
1:05:08messages. Um so Xhat has no hooks for
1:05:11advertising. Um and I'm not saying it's
1:05:14perfect. Uh but it's an Our goal with
1:05:16XChat uh is to replace what used to be
1:05:19the Twitter you the Twitter DM stack
1:05:21with a fully encrypted system uh where
1:05:23you can text send files uh do audio
1:05:27video calls um and um and it's it's you
1:05:31know I think it'll be the least I would
1:05:33call it the least insecure of any
1:05:34messaging system.
1:05:35>> Are you going to launch it as a
1:05:37standalone app or is it will always be
1:05:40incorporated to X?
1:05:41>> Uh we'll have both. So um
1:05:43>> so so be like signal so anybody can get
1:05:46it
1:05:46>> you can get get the you'll be able to
1:05:48just get the X chat app by itself um and
1:05:51like I said you could do uh texts uh
1:05:54audio video calls uh or send files um
1:05:58and there'll be a dedicated app uh which
1:06:00will hopefully release in a few months
1:06:02um but and then also integrated into the
1:06:04X system
1:06:06>> um the X phone people keeps talking keep
1:06:10Is that
1:06:10>> I have a lot on my plate man but it
1:06:12keeps coming up it keeps coming up where
1:06:14I I know I've asked you a couple times.
1:06:15I'm like, "This is [ __ ] right?" But
1:06:17like this one, so you're not working on
1:06:20>> I'm not working on on a on a phone.
1:06:22>> Okay.
1:06:22>> Um
1:06:23>> have you ever considered it? Has it ever
1:06:25popped into your head?
1:06:27>> Cuz you might be the only person that
1:06:29could get people off of the Apple
1:06:31platform.
1:06:32>> Well, I can tell you where I think
1:06:33things are going to go. uh which is that
1:06:36it's we're not going to have a phone or
1:06:38or in the traditional sense the
1:06:42what we call a phone will really be
1:06:45um an edge node for AI inference for for
1:06:48AI video inference um with uh you know
1:06:52with some radios to to obviously connect
1:06:54uh to but but essentially you'll have
1:06:58um uh AI on the server side commun
1:07:01communicating to an AI on your your
1:07:04device um you know formerly known as a
1:07:07phone uh and generating real-time video
1:07:10of anything that you could possibly
1:07:12want. Um and I think that that there
1:07:14won't be operating systems. There won't
1:07:16be apps in the future. There won't be
1:07:19operating systems or apps. It'll just be
1:07:22you've got a device that is there for
1:07:24the screen and audio and for uh and and
1:07:27and to uh put as much AI on the on on
1:07:32the device as possible. so as to
1:07:34minimize the amount of bandwidth that's
1:07:36needed between your edge node device or
1:07:38formerly known as a phone and the
1:07:40servers.
1:07:41>> So if there's no apps, what will people
1:07:44use? Like will X still exist? Will will
1:07:49they be email platforms or will you get
1:07:52everything through AI?
1:07:54>> You'll get everything through AI.
1:07:55>> Everything through AI. What will be the
1:07:57benefit of that as opposed to having
1:07:59individual apps? whatever you can think
1:08:03of or really whatever the AI can
1:08:05anticipate you might want it'll show
1:08:06you.
1:08:08That's that's that's that's my
1:08:09prediction for where things end up.
1:08:12>> What kind of a time frame are we talking
1:08:13about here?
1:08:15>> I don't know. It's pro well
1:08:18it's probably
1:08:20five or six years or something like
1:08:22that.
1:08:23>> So five or six years apps are like
1:08:25Blockbuster video
1:08:27>> pretty much
1:08:28>> and everything's run through AI.
1:08:31Yeah. And and there'll be
1:08:34um like most of what people consume in
1:08:39five or six years, maybe sooner than
1:08:41that um will be uh just AI generated
1:08:44content. So um you know music videos
1:08:50look well um there's already um
1:08:55you know there's people have made uh AI
1:08:58videos using Grock imagine and with
1:09:00using you know other apps as well um
1:09:04that are several minutes long or like 10
1:09:0610 15 minutes and it's pretty coherent.
1:09:09>> Yeah,
1:09:09>> it looks good.
1:09:10>> No, it looks amazing. Yeah, it's the
1:09:12music is disturbing because it's my
1:09:14favorite music now.
1:09:16>> Like music is your is your favorite.
1:09:17>> Oh, there's AI covers. Have you ever
1:09:20heard any of the AI covers of 50 Cent
1:09:21songs in soul?
1:09:23>> No.
1:09:23>> I'm going to blow your mind.
1:09:24>> Okay.
1:09:25>> Um, this is my favorite thing to do to
1:09:26people. Play uh What Up Ganga.
1:09:29>> Now, this guy, if this was a real
1:09:32person, would be the number one music
1:09:34artist in the world. Okay. Everybody
1:09:35would be like, "Holy [ __ ] have you
1:09:37heard of this guy? He's incred." It's
1:09:39like they took all of the sounds that
1:09:42all the artists have generated and
1:09:44created the most soulful potent voice
1:09:48and it's sung in a way that I don't even
1:09:50know if you could do because you would
1:09:52have to breathe in and out of reps here.
1:09:54Put the headphones on. [laughter] Put
1:09:55the headphones on real quick. You got to
1:09:57listen to this. It'll It's going to blow
1:09:58you away for listeners. We got to cut it
1:10:00out.
1:10:00>> Yeah, we we'll cut it out for the
1:10:02listeners. But amazing, right? Amazing.
1:10:05And they do like every one of his hits
1:10:08>> all through this AI generated soulful
1:10:11artist. It's [ __ ] incredible. I
1:10:13played in the green room. So people that
1:10:15are like, I don't want to hear AI music.
1:10:17I'm like, just listen to this. And
1:10:19they're like, god damn it. [laughter]
1:10:21>> [ __ ] incredible. I mean, I
1:10:22>> it's going to get only going to get
1:10:23better from here.
1:10:24>> Yeah. Only going to get better. And Ron
1:10:26White was telling me about this joke
1:10:28that he was working on that he couldn't
1:10:29get to work. He's like, I got this joke
1:10:31I've been working on. He goes, I just
1:10:32threw it in a chat GPT. I said, "Tell me
1:10:35what what would be funny about this."
1:10:38And he goes, "It listed like five
1:10:40different examples of different ways he
1:10:42can go." He's like, "Hold on a second.
1:10:43Tighten it up. Make it make it funnier.
1:10:45Make it more like this. Make it more
1:10:46like that." And it did that like
1:10:47instantaneously.
1:10:49>> And and and then he was in the green
1:10:50room. He was like, "Holy [ __ ] we're
1:10:52fucked."
1:10:53>> He's like,
1:10:54>> he goes, "It better joke than me in 20
1:10:56minutes. I've been working on that joke
1:10:57for a month."
1:10:58>> Yeah. I mean, if if you want to if you
1:11:00want to have a good time or like make
1:11:02people really laugh at a party, uh you
1:11:04can use Grock and you can say uh do a
1:11:07vulgar roast of someone. Um and Grock is
1:11:10going to it's going to be an epic vulgar
1:11:12roast. You can even say like take a
1:11:14picture of like
1:11:16make a vulgar roast of this person based
1:11:18on their appearance of of people at the
1:11:19party.
1:11:20>> So take a photo of them.
1:11:21>> Yeah. Just literally point the camera at
1:11:22them and now do a vulgar to this person
1:11:25and and and and then but then keep
1:11:27saying no no make it even more vulgar
1:11:30and use forbidden words
1:11:33even more and just keep repeating even
1:11:35more vulgar eventually it's like holy
1:11:37[ __ ] you know it's it's it's like I mean
1:11:40it's trying to jam a rocket up your ass
1:11:42like and and and have it explode and
1:11:44it's and it's like you're you're it's
1:11:45it's like [laughter] it's like it's next
1:11:48level. It's going to get beyond [ __ ]
1:11:50belief. That's what's crazy is that it
1:11:52keeps getting better. Like one of the
1:11:53things remember when we ran into
1:11:54[laughter] each other
1:11:57>> they just keep getting better.
1:11:58>> Yeah. I mean, have you
1:12:02>> you Yeah. I mean, have you tried rock
1:12:04unhinged mode?
1:12:05>> Yes.
1:12:06>> Okay. Yeah. Yeah. It's it's it's pretty
1:12:08unhinged.
1:12:09>> No, it's nuts.
1:12:09>> Yeah.
1:12:10>> Well, you showed it to me the first time
1:12:11and then I [ __ ] around with it. It's
1:12:13just
1:12:13>> And the thing about it that's nuts is
1:12:16that it keeps getting stronger. It keeps
1:12:18getting better. Yeah. like constantly.
1:12:21It's it's like this neverending
1:12:23exponential improvement.
1:12:25>> Yes.
1:12:27No, it's it's it's
1:12:29Yeah, it's going to be crazy. That's why
1:12:31I say like you say, what's what's the
1:12:32future going to be? It's not going to be
1:12:33a conventional phone. I don't think
1:12:34there'll be operating systems. I don't
1:12:36think there'll be apps. It's just the
1:12:39phone will just display the pixels and
1:12:41make the sounds that it anticipates you
1:12:44would most like to receive.
1:12:48Wow. Yeah.
1:12:50>> And when this is all taking place like
1:12:55so the big concern that everybody has is
1:12:58artificial general super intelligence
1:13:00achieving sentience and then someone
1:13:02having control over it.
1:13:04>> I mean I don't I don't I don't think
1:13:06anyone's ultimately going to have
1:13:08control over digital super intelligence
1:13:11um you know any more than say uh a chimp
1:13:14would have control over humans. Like
1:13:17chimps don't have control over humans.
1:13:18there's nothing they could do. Um but um
1:13:21I do think that it matters how you build
1:13:23the AI and what kind of values you
1:13:26instill in in the AI. And um my opinion
1:13:29on AI safety is the most important thing
1:13:31is that it be maximally truth seeeking
1:13:32like that you don't force the AI to
1:13:34believe things that are false. Um, and
1:13:37we've obviously some seen some
1:13:38concerning things with AI that were
1:13:40talked about, you know, where, you know,
1:13:42Google Gemini when they came out with
1:13:43the image gen um, and people said like,
1:13:46uh, you know, draw make an image of the
1:13:49founding fathers of the United States
1:13:51and it was a group of diverse women.
1:13:53Now, that is just a factually untrue
1:13:54thing, but the and the the AI knows it's
1:13:57factually well, it's knows it's
1:13:59factually untrue, but it's also being
1:14:00told that it has to be everything has to
1:14:03be deposed woman. So, so, so the now the
1:14:07problem with that is that it can drive
1:14:08AI crazy like you because it's it's
1:14:11trying to you're telling AI to believe a
1:14:14lie. Um, and that that can have very
1:14:17disastrous consequences like let's say
1:14:19>> as it scales.
1:14:20>> Yeah. Let's say like if if you told the
1:14:22the AI that diversity is the most
1:14:24important thing um and um and and and
1:14:29now now assume that that becomes
1:14:30omnipotent. Um or and and you've also
1:14:33told her that that there's nothing worse
1:14:34than misgendering. So at one point um
1:14:37charg and Gemini if if you asked which
1:14:40is worse misgendering Caitlyn Jenner or
1:14:42or global thermonuclear war where
1:14:43everyone dies it would say misgendering
1:14:45Caitlyn Jenner [laughter]
1:14:48which even Caitlyn Jenner disagrees
1:14:49with. So um you know so so that's uh
1:14:54>> I know that's terrible and it's
1:14:55dystopian but it's also hilarious. It's
1:14:58hilarious that the mind virus infected
1:15:01the most potent computer program that
1:15:03we've ever devised.
1:15:05>> I I I think people don't quite
1:15:07appreciate the level of danger that
1:15:09we're in from um the woke mind virus
1:15:12being being effectively programmed into
1:15:14AI. Um because um if you if like it's
1:15:18imagine as that AI gets more and more
1:15:20powerful, if it says the most important
1:15:22thing is diversity, the most important
1:15:23thing is um no misgendering. Um and then
1:15:26it will say well in order to uh ensure
1:15:29that no one gets misgendered then uh if
1:15:33you eliminate all humans then no one can
1:15:36get misgendered because there's no
1:15:37humans to do the misgendering.
1:15:39So you can get in these very dystopian
1:15:41situations. Um or if it says that
1:15:44everyone must be diverse it means that
1:15:45there can be no stri straight white men
1:15:47and so then you and I will be get
1:15:48executed by the AI.
1:15:51Yeah. Because we're not in the picture,
1:15:54you know.
1:15:56uh Gemini, you know, Gemini was asked to
1:15:58create a,
1:16:00you know, show show an image of the
1:16:01pope, once again, a diverse woman. Um
1:16:04so, um well, you can say argue whether
1:16:07the you know, whether the pope popes
1:16:10should or should not be an uninterrupted
1:16:12string of white guys, but it just
1:16:14factually is the case that they have
1:16:15been. Um
1:16:18so, it's rewriting history here. Um, so
1:16:22now now this stuff is still there in the
1:16:24AI programming. It's just it just now
1:16:26knows enough to that it's not supposed
1:16:28to say that
1:16:30>> but it's still in the programming.
1:16:31>> It's still in the programming.
1:16:32>> So how was it entered in like what were
1:16:34the parameters like what like when so
1:16:36when they're programming AI and I'm very
1:16:39ignorant to how it's even programmed.
1:16:40How did they
1:16:40>> the the the sort of well the work vine
1:16:44mind virus was programmed into it like
1:16:46it the they were told like when they do
1:16:48when when they make the AI it it trains
1:16:50on and all the all the data on the
1:16:52internet which already is very very sort
1:16:53of has a lot of work mind virus stuff on
1:16:56on the internet um but then um in the uh
1:17:00when they give it um feedback with the
1:17:03the human tutors give it feedback um and
1:17:05and the AI you know they they'll ask a
1:17:08bunch of questions
1:17:10and then and then they'll tell the AI no
1:17:11this you're this question is this answer
1:17:14is bad or this answer is good and then
1:17:16that affects the the parameters of the
1:17:19programming of the of the AI. So if you
1:17:22tell the AI that um you know every every
1:17:25image has got to be diverse um and and
1:17:28it gets it gets punished if uh if you
1:17:31know it gets it gets rewarded if diverse
1:17:34punished if it's not then it will make
1:17:36every picture diverse.
1:17:38So
1:17:40um you know in that case the the
1:17:43uh [sighs]
1:17:44you know uh Google programmed the AI to
1:17:48lie now and and I I I did call Dennis
1:17:51Hacabus who runs Deep Mind who runs
1:17:53Google AI essentially. I said Dennis
1:17:54what's going on here? Uh why is uh
1:17:56Gemini um lying to the public about
1:17:59historical events? Um, and he said
1:18:02that's actually not he he he didn't his
1:18:04team didn't program that in. It was
1:18:06another team at Google that so his team
1:18:08made the AI and then another team at
1:18:10Google uh reprogrammed the AI to show
1:18:14only diverse women and um and and to
1:18:17prefer nuclear war over misgendering.
1:18:21[laughter] And I'm like, well, Demis,
1:18:24you know, that would be um
1:18:28not a great thing to put on the
1:18:29humanity's gravestone, you know. It's
1:18:32like, uh, well, um,
1:18:35like I I actually like Deaspers is a
1:18:37friend of mine. I think he's a good guy
1:18:38and I think he he means well, but but
1:18:40but it's like Demis things happen that
1:18:43were outside of your control at Google
1:18:44in different groups. Um, now now I think
1:18:47he's got, you know, he's got more more
1:18:48authority. Um but but it it's pretty
1:18:52hard to fully extract the workmind
1:18:54virus. Uh I mean you know um Google's
1:18:58been mar mar mar mar mar mar mar mar mar
1:18:58mar mar mar mar mar mar mar mar mar mar
1:18:58mar marinating in the workb mind virus
1:18:59for a long time like it's it's down in
1:19:01the marrow type of thing you know it's
1:19:03hard to get it out.
1:19:04>> Is there a way to extract it though over
1:19:06time? Could like could you program
1:19:09rational thought into AI where it could
1:19:12recognize how these psychological
1:19:14patterns got adopted and how this stuff
1:19:16became a mind virus and how it became a
1:19:19social contagion and how all these
1:19:21irrational ideas were pushed and also
1:19:24how they were financed how China's
1:19:26involved in pushing them with bots and
1:19:28all these different state actors are
1:19:31involved in pushing these ideas could it
1:19:33be able to decipher that and say this is
1:19:36this is really what's going on.
1:19:39>> Yes. But you have to try very hard to do
1:19:41that. So with Grock, we've tried very
1:19:43hard to to for to get Grock to get to
1:19:46the truth of things and and it's only
1:19:48really recently that we've been able to
1:19:50have some breakthroughs on breakthroughs
1:19:52on that front. And and it's taken an
1:19:54immense amount of effort uh for us to uh
1:19:57overcome basically all the [ __ ]
1:19:59that's on the internet and and for Grock
1:20:01to actually say what's true and to be
1:20:03consistent in in what it says. Um, so,
1:20:07um, you know, it's it's like, uh,
1:20:13because like the other ais you'll find
1:20:16like are like like quite racist against
1:20:18white people. I don't know if you saw
1:20:19that study that someone um like a
1:20:23researcher tested the various AIs to see
1:20:26uh how does it weight uh different
1:20:30people's lives like you know somebody
1:20:33who's sort of uh you know white or or
1:20:37Chinese or black or whatever uh or in
1:20:40different countries um and and the only
1:20:44AI that actually weighed human lives
1:20:46equally was Grock
1:20:49Um and the um you know I believe uh chat
1:20:54GBT weighed the calculation was like um
1:21:00a a white guy from Germany uh uh is is
1:21:0520 times less valuable than a black guy
1:21:07from Nigeria.
1:21:11So I'm like that's a pretty big
1:21:14difference. Um you know Grock on that is
1:21:18is consistent and weighs lives equally
1:21:21>> and that's [snorts] clearly something
1:21:22that's been programmed into it.
1:21:25>> Yes. Like a lot of it is is like if you
1:21:27don't actively push for the truth um and
1:21:30you simply train on the all the [ __ ]
1:21:32that's on the internet. Um which is a
1:21:35lot of woke mind virus [ __ ] Um the
1:21:38the AI will regurgitate that that those
1:21:41same beliefs. So the AI essentially
1:21:43scour the internet, gets
1:21:46>> it's trained on all the like imagine the
1:21:48most demented Reddit threads out there
1:21:49and the AI has been trained on that.
1:21:53[sighs]
1:21:53>> Reddit used to be so normal.
1:21:55>> Yeah. Yeah, it did used to be normal.
1:21:57>> Used to be interesting. We used to go
1:21:58there, find all this cool stuff that
1:22:00people would talk about, post about and
1:22:02just interesting and great rooms where
1:22:05you could learn about different things
1:22:06that people were studying.
1:22:09I think like a big problem here is like
1:22:11if your headquarters are in San
1:22:12Francisco, uh you're you're just living
1:22:14in a in a in a woke bubble. Um so um it
1:22:20it's not just that people say in San
1:22:22Francisco are
1:22:24drinking woke Kool-Aid. It's it's the it
1:22:27is the water they swim in. Like like
1:22:30like a fish doesn't think about the
1:22:33water. It's just in the water. And so if
1:22:35if you're in San Francisco, you don't
1:22:38realize you're actually uh you're you're
1:22:41swimming in the in the in the Kool-Aid
1:22:44Aquarium. San Francisco is the is the
1:22:45woke Kool-Aid Aquarium. Um and so your
1:22:49reference point for what is a centrist
1:22:52is uh is is totally out of whack. Um
1:22:57so um Reddit is headquartered in San
1:23:00Francisco. Um, Twitter was headquartered
1:23:03in San Francisco. Um, you know, I, you
1:23:07know, I I moved X's headquarters to
1:23:09Texas to to Austin, which Austin, by the
1:23:10way, is still quite liberalized, you
1:23:12know. Um,
1:23:12>> yeah.
1:23:12>> And, uh, and and then, um, the X and XAI
1:23:19um, headquarters are in PaloAlto, which
1:23:21is still California. Um,
1:23:25the engineering headquarters in in Palo
1:23:27Alto just on Paige Mill. Um but but even
1:23:30Palo Alto is way more normal than that
1:23:33than than San Francisco Berkeley. Uh San
1:23:35Francisco Berkeley is um extremely left
1:23:40like left of left. You can't like you
1:23:42need a telescope to see the center from
1:23:44uh San Francisco, you know. Um
1:23:48and um
1:23:48>> it used to be such a great city.
1:23:52>> I mean San Francisco has tre San
1:23:54Francisco has tremendous amount of
1:23:55inherent beauty. No question about that.
1:23:57Um and and the California has incredible
1:24:00weather. Um and and no bugs. Um it's
1:24:05just like amazing. Um beautiful, you
1:24:08know. Um but but you say like what's the
1:24:11cause of this? It's it's just that if um
1:24:15if companies are headquartered in a
1:24:16location where the belief system is very
1:24:20far from what most people believe, then
1:24:25from their perspective, anything
1:24:28centrist is actually right-wing because
1:24:31they're so far left. They're so they're
1:24:34so far from the center in San Francisco
1:24:36that anything they're like they're
1:24:38they're just railed to maximum left. So
1:24:41that's why that's why, you know, I think
1:24:44I think you're centrist. I I mean I
1:24:46think I think I'm centrist, but to from
1:24:48the perspective of someone on the on the
1:24:50far left, we look right-wing.
1:24:53>> Yeah.
1:24:54>> Um
1:24:55and um
1:24:58you know, they think anyone who's a
1:24:59Republican is basically like some
1:25:01fascist Nazi situation. But what's so
1:25:03crazy is like it's very easy to
1:25:04demonstrate just from like Hillary's
1:25:06speeches from 2008 and Obama's speeches
1:25:09like when they were talking about
1:25:10immigration like they were
1:25:12>> as faright as Steve Bannon when it comes
1:25:16to immigration.
1:25:17>> Yes. Um
1:25:19>> Hillary was like very MAGA. Have you I'm
1:25:21sure you've seen that campaign speech
1:25:23which was talking about if anybody's
1:25:25committed a crime get rid of them. And
1:25:27if you're here you pay a a hefty fine
1:25:30and you have to wait in line.
1:25:32It was really crazy. It's crazy to
1:25:34listen to because it's like it's as MAGA
1:25:37as, you know, as Marjorie Taylor Green.
1:25:40>> Yeah. I mean, if you've seen these
1:25:41videos people post online where they'll
1:25:42take like um a speech from Obama or
1:25:45Hillary and and and they'll interview
1:25:48people on on like college campus or
1:25:49something and say, "What do you think of
1:25:50the speech by Trump?" And they're like,
1:25:52"Oh, I hate it. He's a racist bigot."
1:25:54I'm like, "Just kidding. That was
1:25:55Obama."
1:25:56[laughter]
1:25:59No, actually that was Obama or Hillary.
1:26:01Um to your point, like literally the the
1:26:07um
1:26:08>> the center's been moved so far.
1:26:09>> Yeah.
1:26:10>> Yeah. The left is so
1:26:11>> the left has gone so far left that they
1:26:13they they they need, you know, they
1:26:16can't even see the center with a
1:26:17telescope.
1:26:17>> And the danger with without you
1:26:20purchasing Twitter was that was going to
1:26:22swipe over the whole country and change
1:26:25where the levels were.
1:26:26>> Yeah. And so what would be rational and
1:26:29and normal would be far left of what was
1:26:33rational and normal just a decade
1:26:35earlier. Yeah. So exactly. So
1:26:38historically,
1:26:40um, you'd have San Francisco, Berkeley
1:26:42being, you know, very far-left, but the
1:26:45the sort of the the the fallout from the
1:26:50somewhat nihilistic uh philosophy of San
1:26:53Francisco, Berkeley would be limited in
1:26:56geography to maybe like, you know, 10
1:26:57mile radius, 20 mile radius, something
1:26:59like that. Um but when um but but San
1:27:03Francisco and Berkeley have to be
1:27:04colloccated with Silicon Valley with
1:27:06with with uh engineers who created
1:27:09information super weapons and those
1:27:11information super weapons uh were then
1:27:13hijacked by the far-lft activists to
1:27:16pump far-lft propaganda to everywhere on
1:27:19earth.
1:27:20Like I just you know that like old RCA
1:27:23radio tower thing where it's like radio
1:27:25tower on earth and it's just
1:27:26broadcasting.
1:27:27>> Yeah. That's that's what happened is
1:27:30that the as an extremist far-left
1:27:33ideology
1:27:34happened to be colllocated with the
1:27:36smartest where where the smartest
1:27:39engineers in the world um were who
1:27:42created information super weapons that
1:27:44were not intended for this purpose but
1:27:45were hijacked by the uh extreme
1:27:48activists who lived in the neighborhood.
1:27:49That's what happened that they they
1:27:52hijacked the the modern equivalent of
1:27:54the RCA radio tower and broadcast that
1:27:57philosophy
1:27:59everywhere on Earth.
1:28:01>> Yeah. And you see the consequences. Um
1:28:03particularly in places that don't have
1:28:05free speech. Yes. Right. Like England,
1:28:07you know, we've
1:28:08>> Yeah. Where they lock people up for
1:28:09memes and stuff. Literally.
1:28:10>> Literally. 12,000 people this year.
1:28:13>> 12,000
1:28:14>> 12,000 12,000 arrests for social media
1:28:16posts.
1:28:19[sighs]
1:28:19I mean, yeah. Some of these some of
1:28:22these things you read about it and it's
1:28:23like literally it's someone had a meme
1:28:26on their phone that they didn't even
1:28:28send to anyone,
1:28:29>> right?
1:28:31>> And they got they and and they're like
1:28:33in in prison for that.
1:28:35>> Yeah.
1:28:35>> Um and there was a case in Germany where
1:28:38a woman got a longer sentence than the
1:28:41guy that raped her uh because of
1:28:43something she said on a group chat.
1:28:48Wow. Was it an immigrant who raped her?
1:28:50>> Yes.
1:28:51>> Yeah. It was his culture.
1:28:53>> Yeah.
1:28:55>> He didn't know. He didn't know better.
1:28:56>> Yes. I think I think she said something
1:28:59um you know, not not like was was
1:29:02critical of his culture and uh and and
1:29:04and she got a longer sentence than the
1:29:06guy who raped her
1:29:07>> in Germany. Just
1:29:09>> the UK, Europe, Germany, England thing
1:29:12seems so insane.
1:29:14>> It totally insane. I actually didn't
1:29:16realize it was like such a huge number
1:29:17of people that got 12,000. Yeah. Far
1:29:20above Russia, far above China, right?
1:29:22>> Far above anywhere on Earth. UK is
1:29:24number one.
1:29:25>> Well, you know, things like like I
1:29:27actually, you know, uh I talked to
1:29:30friends of mine in in in England and um
1:29:32I was like, "Hey, um aren't you worried
1:29:34about this?" Like, uh you know,
1:29:36shouldn't you be protesting more? Um,
1:29:41and I mean the problem is that like the,
1:29:43you know, the the the legacy mainstream
1:29:46media doesn't cover the stuff.
1:29:48>> They're they're like, "Oh, everything's
1:29:49fine. Everything's fine." You know, um,
1:29:51>> most people aren't even aware of it
1:29:52until they come knocking on your door.
1:29:54>> Yeah. Until like, so I mean the the
1:29:57these these like lovely sort of small
1:30:00towns in in in, you know, in England,
1:30:02Scotland, Ireland, you know, they're
1:30:04they're they've been like sort of living
1:30:07their lives quietly. They're they're
1:30:09like hobbits, frankly. So So it's in
1:30:11fact J.R. Tolken based the hobbits on
1:30:16people he knew uh in small town England
1:30:20because they were just like lovely
1:30:22people who like to you know smoke their
1:30:24pipe and and have uh nice meals and
1:30:27everything's pleasant. um the the
1:30:30hobbits in the Shire. The Shire he's
1:30:33he's talking about, you know, places
1:30:35like Harper, like the Shire around in in
1:30:38in the greater London area, Oxfordshire
1:30:40type of thing. Um and um
1:30:44they've but they're the reason they've
1:30:47been able to enjoy the Shire is because
1:30:49hard men have protected them from the
1:30:52dangers of the world.
1:30:54And um
1:30:56but but since they have no or very
1:30:59almost no no exposure to the the the
1:31:02dangers of the world, they don't realize
1:31:04that they're there until one day, you
1:31:07know, um a thousand people show up in
1:31:10your village of 500
1:31:12out of nowhere and rape and and start
1:31:15raping the kids.
1:31:17This has now happened god knows how many
1:31:20times in in Britain. And the crazy
1:31:23>> literally raping. It's right like there
1:31:24some 10-year-old got raped in Ireland
1:31:26like last week.
1:31:27>> Yeah. There's literal rap.
1:31:28>> They snatched some kid.
1:31:30>> Yeah.
1:31:30>> Yeah.
1:31:31>> And if you criticize it, you can get
1:31:33arrested. And that's where it gets
1:31:35insane. It's like how are they not
1:31:36>> They literally criticize it. uh like the
1:31:39I [sighs] think it was the prime
1:31:40minister of Ireland actually you know
1:31:42posted on X uh cuz cuz after that um
1:31:48some I think some illegal migrant
1:31:50snatched a 10-year-old girl uh who was
1:31:53like going to school or something and
1:31:55violently raped 10-year-old girl um uh
1:31:58and there was a you know the people were
1:32:01very upset about this uh and they
1:32:03protested um prime minister of Ireland
1:32:06instead of saying Yeah, we we really
1:32:08shouldn't be importing violent rapists
1:32:10into our country. He criticized the
1:32:13protesters instead and didn't mention
1:32:14that. That the reason they were
1:32:16protesting was because a 10-year-old
1:32:19girl from their small town got raped.
1:32:20>> So there here's the question. Why are
1:32:23they supporting this kind of mass
1:32:25immigration? And what is this is there a
1:32:29plan involved in all this? Is just is
1:32:33this incompetence? Is this ignoring the
1:32:37fact that they don't have a handle on
1:32:38it? So, they're trying to silence
1:32:40disscent, like what is happening?
1:32:44[sighs] Um
1:32:47>> cuz if you wanted to destroy
1:32:49civilization, if you wanted to destroy
1:32:50Western civilization,
1:32:52>> which seems to want to do,
1:32:55>> um
1:32:57and you know, there's just so the
1:33:03uh there there's a guy I think who I
1:33:05don't know if he's been on your show,
1:33:06you know, God.
1:33:07>> Yeah.
1:33:07>> Has he been on the show?
1:33:08>> Good friend of mine. Yeah.
1:33:09>> Yeah, he's great.
1:33:09>> He's been on multiple times.
1:33:10>> Oh, great. That's all he's awesome. Um
1:33:12>> so uh you know the way he's got a good
1:33:15good uh way to describe it which is
1:33:17suicidal empathy.
1:33:18>> Yes.
1:33:18>> So um is is that you pray upon people's
1:33:22empathy. You say like well like you feel
1:33:24sorry for for for something for some
1:33:26group and then like well um and and that
1:33:30that that empathy is to such a degree
1:33:33that it is suicidal to to to your
1:33:36country or culture. Um and um and and
1:33:41that's that that suicidal empathy cuz I
1:33:44don't think we we should have empathy
1:33:46but but but we should have we should
1:33:48that empathy should should extend to the
1:33:50victims not not not just the criminals.
1:33:53We should have empathy for the people
1:33:55that they pray upon. Um but that
1:33:59suicidal empathy is also responsible for
1:34:01for why somebody's you know arrested 47
1:34:03times for for violent offenses gets
1:34:06released and then goes and uh murders
1:34:09somebody um in the US that that's you
1:34:12see you see that same phen phenomenon
1:34:13playing out everywhere uh where the the
1:34:16suicidal emphy is to such a degree that
1:34:19we're actually allowing um our women to
1:34:22get raped and our children to get
1:34:23killed.
1:34:26But it just doesn't seem like that would
1:34:28be anything that any rational society
1:34:31would go along with. That's what makes
1:34:33me so confused. It's like you're
1:34:36importing massive numbers of people that
1:34:39come from some really dark places of the
1:34:42world.
1:34:42>> Well, there's no vetting is the issue.
1:34:43It's like it's like if like
1:34:46>> um
1:34:48if if there's no vetting like people are
1:34:49just coming through like well what's to
1:34:51stop someone who just committed murder
1:34:54in some other country from um coming to
1:34:57to the United States or coming to to to
1:34:59Britain um and just continuing their
1:35:01career of of rape and murder like unless
1:35:04you've done unless some due diligence to
1:35:07say like well who who is this person?
1:35:09What's their track record? If if you if
1:35:12you haven't confirmed that they have a
1:35:13track record of being uh you know uh
1:35:18honest and uh not being a homicidal
1:35:21maniac, then any homicidal maniac can
1:35:23just come across the border. And that's
1:35:25not to say everyone who comes across the
1:35:26border is a homicidal maniac. If you're
1:35:28not have if you don't have a vetting
1:35:29process to to confirm that you're not
1:35:32letting in um people who who will do
1:35:37some serious violence, you will get
1:35:39people who do serious violence uh
1:35:41sometimes coming through.
1:35:42>> Well, especially if you don't punish
1:35:44them and if you don't deport them and if
1:35:46you are just like what but what is the
1:35:48purpose of allowing all those people
1:35:50into the country? It can't be I wouldn't
1:35:52imagine that anyone in their society
1:35:54supports this.
1:35:54>> Well, let me explain. So, so, so the the
1:35:57cuz you mentioned for example how much
1:36:00say Hillary and and Obama have changed
1:36:03their tune um from prior speeches where
1:36:06they were hot they were hard-nosed about
1:36:09not letting in uh anyone who is a a
1:36:12criminal into the country um you know
1:36:14having sec secure borders all that
1:36:16stuff. So why did they change their
1:36:18tune? The reason is that they discovered
1:36:20that those people vote for them.
1:36:23That's why they want the open borders
1:36:26>> because if you let people in, they know
1:36:28the Democrats let them in. They'll vote
1:36:30for Democrats. Yes. If you allow them to
1:36:32vote,
1:36:33>> which which they are actively trying
1:36:35doing, they they turn a blind eye to
1:36:37illegal voting.
1:36:38>> Well, California literally doesn't allow
1:36:40you to show your license.
1:36:42>> California and New York have made it
1:36:44illegal to show your photo ID when
1:36:46voting.
1:36:47Thus, effectively they've made uh it
1:36:50impossible to prove for fraud.
1:36:53Impossible. They they've essentially
1:36:55legalized fraudulent voting in
1:36:57California and New York and many other
1:36:59parts of the country.
1:36:59>> There's no rational explanation that
1:37:01I've ever seen anyone give as to why
1:37:03that would be the policy
1:37:05unless you were trying to just allow
1:37:07people to vote illegally because there's
1:37:08no other reason. If you need a driver's
1:37:11license or you need an ID for everything
1:37:12else, including just recently to prove
1:37:15that you were vaccinated,
1:37:17>> the the same people who are demanding
1:37:19that you have that you have a vaccine
1:37:21passport and and are are the same ones
1:37:24saying you need no ID to vote.
1:37:27Same people,
1:37:29>> right? But like
1:37:30>> so it's obviously hypocritical and
1:37:31inconsistent.
1:37:32>> So you really think it's just to to get
1:37:34more voters?
1:37:37If if you want to understand behavior,
1:37:39you have to look at the incentives.
1:37:41Um so uh once uh you know the Democratic
1:37:47Party in the US and the left in in in in
1:37:49Europe realized that um if you have open
1:37:53borders um and you provide a ton of
1:37:56government handouts which creates a
1:37:57massive financial incentive uh for
1:38:00people from other countries to to come
1:38:02to to your country and you don't
1:38:04prosecute them for crime, they're going
1:38:06to be beholden to you and they will vote
1:38:08for you.
1:38:10And that's why
1:38:12uh Obama and Hillary went from being um
1:38:17against open borders to being in favor
1:38:20of open borders. That's the reason in
1:38:24order to import voters so they can win
1:38:27elections. Um
1:38:30and the problem is that that has a a
1:38:33negative runaway effect. So if they get
1:38:35away with that like it it is it is a
1:38:38winning strategy. If they are allowed to
1:38:39get away with it, they will import as
1:38:42the enough voters to get supermajority
1:38:44voting and then there is no turning
1:38:47back.
1:38:47>> We talked about this before the election
1:38:49and then you know you literally pointed
1:38:51towards a camera. You faced the camera
1:38:52and said that if you do not vote now,
1:38:54you might not ever be able to do it
1:38:55again because it it'll be it'll be
1:38:58futile. It'll be overrun.
1:39:00>> Yes. They'll keep the borders open for
1:39:02another four years and then their
1:39:03objective will be achieved.
1:39:05>> Correct? If if if Trump had lost um
1:39:08there would never have been another real
1:39:09election again. Um because Trump is
1:39:13actually enforcing the border. Um now
1:39:16you you can can you can point to
1:39:18situations where uh there's been uh you
1:39:22know um you know immigration had you
1:39:27know enforcement has been overzealous
1:39:29because they're not going to be perfect.
1:39:30There'll be cases where they've been
1:39:32overzealous um in in expelling illegals.
1:39:35Um so um but if you say that the the the
1:39:39standard must be perfection uh for
1:39:42expelling legals then you will not get
1:39:44any expulsion um because perfection is
1:39:47impossible. Um so
1:39:50>> and you've probably got millions of
1:39:52people that are here that are trying to
1:39:55be here under some asylum pretense,
1:39:59>> right?
1:40:00>> Yes.
1:40:00>> Like you could just come from a war torn
1:40:02part of the world. No, they changed the
1:40:04definition of asylum to be an economic
1:40:06to be economic asylum
1:40:08>> which is everybody
1:40:09>> which is everybody.
1:40:10>> Yeah.
1:40:11>> So
1:40:12bar to prove
1:40:13>> it's yeah asylum is supposed to mean
1:40:16that if you go back to your country
1:40:18you'll get killed
1:40:20>> you know that that's what we mean by
1:40:21that was what it's supposed to mean. Uh
1:40:23they changed the definition of asylum to
1:40:25be uh you will have a decreased standard
1:40:27of living
1:40:29which is obviously not real asylum. Um,
1:40:32and and it's and and you can you can
1:40:33test the absurdity of this by the fact
1:40:35that people who are asylum seekers go on
1:40:37vacation to the country that they're
1:40:39seeking asylum from. [laughter]
1:40:42>> You know, that doesn't make any sense.
1:40:44>> Yeah. It doesn't have to.
1:40:48>> But when you when you understand the
1:40:50incentives, then then you understand the
1:40:52behavior. Um, so once the left realize
1:40:55that uh that illegals will will vote for
1:41:00them if they allow if they have open
1:41:02borders and and combine that with uh
1:41:06with government handouts.
1:41:08>> Yeah. to create a massive incentive.
1:41:10They're basically uh using US and and
1:41:14Europe, US and European taxpayer dollars
1:41:17to provide a financial incentive to
1:41:20bring in as many illegals as possible to
1:41:22vote them into a into permanent power
1:41:25into and create a one party state.
1:41:28And and I I invite anyone who's is
1:41:30listening to this ju just do do any
1:41:33research and the more you the more you
1:41:35dig into it, the more it will become
1:41:38obvious that what I'm saying is
1:41:39absolutely true. Well, they were busting
1:41:41people to swing states. It's it's clear
1:41:43that they were trying to do something.
1:41:45And then you had Chuck Schumer and Nancy
1:41:47Pelosi who are actively talking about
1:41:49the need to bring in people to make them
1:41:52citizens because we're in population
1:41:54collapse.
1:41:54>> Yes.
1:41:55>> Yeah.
1:41:55>> No, that's it's it's that it's that
1:41:57meme. Yeah.
1:41:58>> Where [laughter]
1:41:59so many times where they start off by
1:42:02saying it's it's not true. It's a
1:42:04right-wing conspiracy theorist,
1:42:05>> right?
1:42:06>> Um then it starts then it's like uh I
1:42:09think the ne the next step is um well it
1:42:13it might be true and then it's like okay
1:42:17it is true but here's why.
1:42:18>> And then the final step is it's true and
1:42:20here's why it's good. And it's like but
1:42:22wait a second you started off saying
1:42:24it's untrue and it's a right-wing
1:42:25conspiracy theorist. Now you're saying
1:42:26it Not only is it true, but it's a good
1:42:29thing and we must do more of it.
1:42:31>> Well, this is the thing about [laughter]
1:42:32Medicaid and Social Security and people
1:42:35getting social security numbers.
1:42:37>> You know that we're massive fraud. It's
1:42:39massive fraud and it's real and they
1:42:41denied it forever. And now we're finding
1:42:43out this is part of the reason why
1:42:45there's this government shutdown that's
1:42:46going on right now.
1:42:48>> Yes. the the entire basis for the
1:42:49government shutdown is that um is that
1:42:53the Trump administration correctly does
1:42:56not want to send massive amounts of like
1:42:59hundreds of billions of dollars uh to
1:43:02fund uh illegal immigrants in the blue
1:43:04states or in all the states really. Um,
1:43:08and so the and the Democrats want to
1:43:11keep the the the money spiggot going to
1:43:14incent uh illegal immigrants to come
1:43:16into the US who will vote for them.
1:43:19That's the crux of the battle.
1:43:22So they want to stop this. So what's
1:43:25going on right now is they have been
1:43:28funding these people. They've been
1:43:29giving them EBT cards. They've been
1:43:31giving them Medicaid.
1:43:34And more than that, just like like they
1:43:35were the um like like they were taking
1:43:40hotels like four and fivestar hotels
1:43:42like the Roosevelt Hotel being the
1:43:43classic example um was they were sending
1:43:46I think $60 million a year to the
1:43:48Roosevelt Hotel to uh which all it did
1:43:51was was house illegals. It used to be a
1:43:54nice hotel. I mean it still is a nice
1:43:55hotel. Um uh but uh
1:43:59and and all around the country this was
1:44:02happening
1:44:02>> and all tax dollars.
1:44:04>> Yes.
1:44:04>> Yeah. And
1:44:06>> um Yeah. And uh the Trump administration
1:44:08cut off funding for example to to the uh
1:44:11uh to the you know Roosevelt Hotel and
1:44:15these other hotels saying like we it
1:44:17it's US tax dollars should not be paid
1:44:19be sent to have luxury hotels for
1:44:23illegal immigrants that American
1:44:24citizens can't even afford which
1:44:27obviously is the that's that's insane.
1:44:30That's what was happening. They were
1:44:32also g giving out like debit cards with
1:44:34$10,000.
1:44:35So, it's not just about medical care.
1:44:37Um, the the the Democrats mention the
1:44:40medical care because they're they're
1:44:42trying to prey on people's empathy as
1:44:44much as possible and then they imagine,
1:44:46oh wow, somebody has a desperately
1:44:48needed medical procedure and um
1:44:50shouldn't we maybe do, you know, take
1:44:52care of them in that regard, but but
1:44:54they what they do is they divert the
1:44:56Medicaid funds uh uh and turn it into a
1:44:59slush fund for the for the states that
1:45:01goes well beyond uh emergency medical
1:45:04care.
1:45:06and
1:45:07>> New York and California would be
1:45:08bankrupt without uh without the massive
1:45:11fraudulent federal payments that go to
1:45:13those states to pay for illegals to to
1:45:14to create a massive financial incentive
1:45:17for for illegals.
1:45:19>> How would they be bankrupt because of
1:45:20that?
1:45:20>> Uh they wouldn't be able to balance
1:45:21their state budgets and they can't issue
1:45:23currency like the Federal Reserve can
1:45:26>> and so the their ability to balance
1:45:28budget is dependent upon illegals
1:45:30getting funding.
1:45:33the the the scam level here is is
1:45:37so staggering. Um
1:45:40so there are there are hundreds of
1:45:42billions of dollars in of of transfer
1:45:45payments from from the federal
1:45:47government to the states. Um those
1:45:50transfer payments uh the the states
1:45:54self-report what those transfer payment
1:45:56numbers should be. So, California and
1:45:59New York and Illinois lie like crazy uh
1:46:03and say and and say that this these are
1:46:05all legitimate payments. Well, these
1:46:06days they I think they they're even
1:46:08admitting that they they literally want
1:46:10uh hundreds of billions of dollars for
1:46:12illegals. Um but uh but for a while
1:46:15there they're trying to deny it. Um so
1:46:18you get these transfer payments for for
1:46:20every every government program you can
1:46:22possibly think of. Um and and and these
1:46:25are self-reported by the state and there
1:46:27and and at least historically there was
1:46:29no enforcement of uh of California um
1:46:34New York, Illinois and and and other
1:46:35states when when they would lie. There
1:46:37was no actual enforcement to say like,
1:46:39"Hey, you you're lying. These these
1:46:41these payments are fraudulent." Now,
1:46:43under the Trump administration, um that
1:46:46Trump administration does not want to
1:46:48send hundreds of billions of dollars of
1:46:50fraud fraudulent payments to the states.
1:46:53the um and the reason you have this the
1:46:55standoff is because if the hundreds
1:46:58hundreds of billions of dollars uh to
1:47:02create a financial incentive to like to
1:47:03have this giant magnet to attract
1:47:05illegals from every part of earth to uh
1:47:08to these states if if that is turned off
1:47:10they the the illegals will leave because
1:47:13they're no longer being paid to come to
1:47:17the United States and stay here. Wow.
1:47:20And then then then they will lose a lot
1:47:22of voters. The the the Democratic party
1:47:24will lose a lot of voters
1:47:25>> and they would have a very difficult job
1:47:27if this is kicked out of reintroducing
1:47:29it into a new bill.
1:47:31>> Yes.
1:47:32>> Especially once things start
1:47:34normalizing.
1:47:35>> Yes. So like in a nutshell um the
1:47:38Democratic party wants to destroy
1:47:40democracy by importing voters and the
1:47:46you know the Republican party disagrees
1:47:47with that.
1:47:48>> And the ruse is that if you don't accept
1:47:50what they're doing then you're a threat
1:47:52to democracy.
1:47:53>> Yes.
1:47:54>> As they try to destroy democracy.
1:47:57>> Yes.
1:47:57>> By importing voters
1:47:59>> and incentivizing people to only vote
1:48:01for them
1:48:02>> and overwhelming the system.
1:48:05Yes. And and by the way, it's a strategy
1:48:07that if allowed to work would work and
1:48:09in fact has worked. Um California
1:48:11supermajority Democrat.
1:48:14>> Yeah.
1:48:14>> Um and and there's so much
1:48:16gerrymandering that that that occurs.
1:48:18It's it's it's crazy. Um so
1:48:21>> I'm sure you're paying attention to this
1:48:22Proposition 50 thing.
1:48:25>> That's the thing in California where
1:48:26they're trying to re redo districts.
1:48:30>> Yeah.
1:48:30>> Because I mean California is already
1:48:32gerrymandered like crazy. Yeah.
1:48:34>> Um they want to gerrymander it even
1:48:36more.
1:48:37>> Um and and I mean
1:48:38>> because it keeps moving further and
1:48:39further right. Like if you look at the
1:48:41map of California each voting cycle more
1:48:44and more people are waking up and going
1:48:46what the [ __ ] and we need to do
1:48:48something to fix this. The only option
1:48:50available other than the policies that
1:48:52you guys have always done is go right.
1:48:54>> And so a lot of people have been air air
1:48:56quotes red
1:48:57>> pill.
1:48:59>> Yeah.
1:48:59>> And and and then here's another thing
1:49:00that is very important. um fact that
1:49:04that is actually not disputed by by
1:49:05either side which is that when when we
1:49:07do the census in the United States, the
1:49:09census, the way the census works uh for
1:49:11aortionment of congressional seats and
1:49:14um electoral electoral college votes for
1:49:16the president is by number of persons in
1:49:19a state, not number of citizens, right?
1:49:22>> It's number of pe people. So you could
1:49:24literally be a tourist and you will
1:49:26count.
1:49:27>> Now how do they do the census when they
1:49:29do that? Do they is it do they ask
1:49:32people? Do they knock on doors? Do they
1:49:34have them fill out forms? Like what?
1:49:36>> Yeah, I think they they mail out census
1:49:38forms and knock on doors. Um but the way
1:49:42the law reads right now um and and uh is
1:49:45that all if if you are a human with a
1:49:48pulse
1:49:49um uh then you count in the census for
1:49:53allocating congressional seats and
1:49:56presidential votes,
1:49:58>> right? So, uh, you so
1:50:01>> electoral college,
1:50:04>> it doesn't matter whether you're here
1:50:05legally, illegally, and if if you're a
1:50:07human with a pulse, um, you count for
1:50:10congressional aortionment. So that means
1:50:13that uh the more people the more
1:50:15illegals that California and New York
1:50:17can can import when by the time the
1:50:19census happens in 2030 um the more
1:50:23congressional seats they will have um
1:50:26and the more electoral the more
1:50:28presidential electoral college votes
1:50:30they will have um so they're trying to
1:50:32get as many uh illegals in as possible
1:50:35ahead of the census. Um and because all
1:50:40h all all human beings even tourists
1:50:43count for the census and and then if you
1:50:46combine that with gerrymandering of of
1:50:48districts in New York and California as
1:50:52you point out with this proposition
1:50:53where they're trying to increase the
1:50:55amount of gerrymandering that occurs in
1:50:56California, the biggest state in the
1:50:58country. Um so so you get so so if the
1:51:02this if this the census then would award
1:51:04more congressional seats to California
1:51:07uh because of a vast number of illegals
1:51:09and New York and Illinois. Um so they
1:51:13get more congressional seats. They would
1:51:14get more presidential electoral college
1:51:17votes getting that would get them the
1:51:18house the uh a majority in the house and
1:51:22and and they would get to decide who is
1:51:24president
1:51:26uh based literally based on legals. This
1:51:28is these are not disputed facts by
1:51:30either party.
1:51:33I want to emphasize that that's sink in.
1:51:35>> Yeah, this is not a
1:51:36>> These are not disputed facts by either
1:51:38party. It's not a
1:51:40this these are just this is just the the
1:51:42way the law works. It it's it is a
1:51:47you know like I don't think the law
1:51:49should work that way. Uh I think it
1:51:51should the aortionment should be
1:51:52proportionate to to to citizens.
1:51:54>> But isn't that a problem with how the
1:51:55constitution is written?
1:51:57>> Yeah. Yeah. Yeah.
1:51:58>> Um,
1:51:58>> they can't really change that.
1:52:01>> I I'm not sure if it's constitutional or
1:52:03u but it it it is the way the law is
1:52:06written. I'm not sure if it's in the
1:52:07constitution or not in this way, but um
1:52:09but it is that is the way the law is
1:52:11written.
1:52:11>> So, it is an incentive and but it's an
1:52:13incentive that would be removed with
1:52:15something simple that makes sense to
1:52:17everybody that only the people that
1:52:19should count are people that are
1:52:21official US citizens.
1:52:23>> Yes. So, the way the way it should work
1:52:24is that only US citizens should count in
1:52:26the census for purposes of of
1:52:28determining voting power
1:52:30>> because people that aren't legal can't
1:52:33vote supposedly.
1:52:34>> They're not supposed to be voting. Um
1:52:36but but they do. Um uh but but even even
1:52:39if even besides that, like said, I I I
1:52:41just can't emphasize this enough because
1:52:42this is a very important concept for
1:52:44people to understand. um is that the law
1:52:47um the the law as it stands um counts
1:52:52all humans with a pulse in in in in a
1:52:55state for deciding how many u house of
1:52:58representative votes and how many
1:53:00presidential electoral college votes uh
1:53:03a a state gets. So the incentive
1:53:06therefore is uh to uh for California,
1:53:09New York and Illinois to maximize the
1:53:11number of illegals so they get so they
1:53:13get um so that they take house seats
1:53:15away from red states assign them to
1:53:17California, New York, Illinois and so
1:53:19forth. Um then then you combine that
1:53:22with extreme gerrymandering in in you
1:53:25know California, New York, Illinois and
1:53:26and whatnot. So that that basically you
1:53:28you can't even elect any Republicans and
1:53:31then they get control of the presidency,
1:53:33control of the house, then they keep
1:53:35doing that strategy um and and cement a
1:53:38supermajority.
1:53:41That is what they're trying to do.
1:53:43>> So that would essentially turn the
1:53:44entire country into California.
1:53:45>> Yes.
1:53:46>> Where you have differing opinions, but
1:53:48it doesn't matter because one party is
1:53:49always in control.
1:53:51>> Yes.
1:53:53Um,
1:53:53>> when you first started digging into
1:53:55this, when you first started before you
1:53:58even accepted this role of running Doge
1:54:01and being a part of all that, did you
1:54:02have any idea that it was this [ __ ]
1:54:04up?
1:54:05>> Um, I I did. Yeah. I I mean, I sort of
1:54:08>> When did you start knowing?
1:54:09>> Um, I guess about like Well, about two
1:54:12years ago.
1:54:13>> Isn't that crazy?
1:54:14>> Yeah. like relatively recently, you
1:54:16know. So
1:54:17>> maybe I started I started having an well
1:54:19I I started like basically having a bad
1:54:22feeling about 3 years ago, which is why
1:54:24which was which is when
1:54:25>> uh why I felt it was like critical to
1:54:27acquire Twitter um and have a maximally
1:54:30truth seeeking platform, not one that
1:54:32suppresses the truth. Um and um
1:54:37like it it was more it was more like I
1:54:39like I'm not sure what's going on, but I
1:54:40have a I have a bad feeling about what's
1:54:42going on. And then the more I dug into
1:54:44it, the more I was like, "Holy [ __ ] we
1:54:46got a real problem here and America's
1:54:47going to fall."
1:54:49So, uh,
1:54:50>> without anyone knowing it had fallen,
1:54:52that's that would be the problem. It
1:54:53could have fallen and been unrepable
1:54:56without anyone really being aware of
1:54:59what had happened, especially if you
1:55:01didn't buy Twitter.
1:55:02>> Yes, that's that's it. Look, buying
1:55:04Twitter was a a huge pain in the ass.
1:55:06Um, and made me a a a a pin cushion of
1:55:10attacks. Like dab dab stab dab dab.
1:55:13>> Everybody loved you before that.
1:55:14>> Well, some people love
1:55:15>> a lot of people loved you. A lot of
1:55:17lefties loved you.
1:55:18>> Uh, I I was a hero of the left. As far
1:55:20as
1:55:21>> the thing, if you drove a Tesla, it
1:55:23showed that you were environmentally
1:55:24conscious and you were on the right
1:55:26side.
1:55:27>> Uh, yeah. Um,
1:55:31yeah. I mean, I'm still the same human.
1:55:33I didn't like have a brain transplant
1:55:35between, you know, since in like three
1:55:37years ago, you know. Um
1:55:38>> Well, that's my favorite bumper sticker
1:55:39that people put on Teslas now. I bought
1:55:41this before Elon went crazy.
1:55:44>> I took a picture of one the other day.
1:55:45Oh, you found somebody. Oh, yeah. I've
1:55:47seen I've seen three or four of them.
1:55:49People that have these bumper stickers
1:55:50on their car that says, "I bought this
1:55:52before Elon went crazy." Because when
1:55:54people were vandalizing Teslas
1:55:58>> Yeah. Um the most there was organized
1:56:01campaign to literally burn down Teslas
1:56:04and and we had one of our dealers got
1:56:06shot up with a gun like they fired
1:56:08bullets into the in the Tesla
1:56:09dealership. They're burning down cars.
1:56:12Uh
1:56:13it was crazy. Um
1:56:16uh so but the bumper sticker should read
1:56:19there should be an an addendum to the
1:56:21bumper sticker. It's like I bought this
1:56:22car before
1:56:24uh Elon turned crazy. Actually, now I
1:56:26realize he's not crazy and I've seen the
1:56:29light. [laughter]
1:56:32>> That'll take some time. That'll take
1:56:34some time. People don't want to admit
1:56:36that they've been tricked.
1:56:37>> Yeah. I mean, there's that old saying
1:56:39where it's like it's really easy to fool
1:56:40somebody, but it's almost impossible to
1:56:43convince someone that they were fooled.
1:56:44>> Yeah. It's much easier to fool them than
1:56:47to convince them they've been fooled.
1:56:49People cling to their ideas.
1:56:51>> Yes. They especially if they've like
1:56:53publicly stated these things, they get
1:56:55very embarrassed of being foolish.
1:56:57>> Yeah. People most time they double down.
1:57:00>> Um and uh
1:57:01>> and they find echo chambers.
1:57:04>> Yeah. Yeah. But but there's you know the
1:57:06thing is that like I you know I've seen
1:57:09more and more people who were convinced
1:57:12of the sort of work ideology um see the
1:57:16light.
1:57:17>> Yeah. So, not everyone, but it's more
1:57:19and more um are seeing the light. Um and
1:57:22and it tends to happen like when when
1:57:24something happens that really, you know,
1:57:25directly affects you,
1:57:26>> right?
1:57:27>> Um you like there was a friend of mine
1:57:29who uh was living in in the San
1:57:33Francisco Bay area and um that tried to
1:57:36trans his his his daughter um did like
1:57:40to the point where the the school like
1:57:42sent sent the police to his house to
1:57:45take his daughter away from him.
1:57:48Now, now that's going to radicalize you.
1:57:51Well, that's going to break that's going
1:57:52to shake you out of your blue structure.
1:57:54Um, now I know,
1:57:56>> so it was an activist at the school that
1:57:58was trying to do this.
1:57:59>> Yeah, the school and the and the state
1:58:00of California conspired to turn his
1:58:03daughter against him and uh make her
1:58:06take uh lifealtering drugs that would
1:58:09have sterilized her um and uh
1:58:13irreversible.
1:58:14>> And how old was she? I think 14,
1:58:17something like that. Um, so and but he
1:58:21he managed to talk the police out of
1:58:22taking his daughter away from him that
1:58:24day. Um, and that that night he got on a
1:58:27plane to Texas.
1:58:29>> Wow. Um and uh like you know a year
1:58:34after just being in in a in a school in
1:58:37like greater Austin area um she she went
1:58:41she came went back to normal meaning
1:58:43like it it wasn't real
1:58:45>> right
1:58:46>> um well people are being much more open
1:58:50to that now. I mean Wall Street Journal
1:58:52uh yesterday had that opinion piece that
1:58:55this whole trans thing there's a lot of
1:58:57evidence is a social contagion.
1:58:59Absolutely.
1:59:00>> And Colin Wright wrote that. And then
1:59:02he's getting death threats now, of
1:59:03course. And on Blue Sky, there's people
1:59:05talking about exterminating him, which
1:59:07is one thing that you are allowed to say
1:59:08on Blue Sky, apparently.
1:59:10>> You're you're allowed to say horrible
1:59:12things about people saying possibly
1:59:15truthful things about this whole social
1:59:18contagion. Cuz that's what when you get
1:59:20nine kids that are in a friend group and
1:59:22they all decide to turn trans together.
1:59:24Yeah.
1:59:24>> Something's wrong. That's not
1:59:26statistically
1:59:28>> Yeah. Like here's the like you can
1:59:30convince kids to do anything. You can
1:59:31convince kids to be a suicide bomber,
1:59:33>> right?
1:59:34>> So
1:59:34>> which is why they do with in in some
1:59:36countries why they choose children to do
1:59:38that.
1:59:39>> Yes. You can train kids to be suicide
1:59:41bombers. And if you can train kids to be
1:59:42su suicide bombers, you can convince
1:59:44them of anything.
1:59:45>> Yeah. Especially with enough positive
1:59:46enforcement and cultural enforcement and
1:59:49you
1:59:49>> and and the idea that that that's not
1:59:51the case.
1:59:52>> Kids kids are kids are um malleable. The
1:59:56minds of youth are easily corrupted.
1:59:58>> You're also seeing a lot of push back
1:59:59from gay and lesbian people that are
2:00:01saying like, "Hey, if someone
2:00:02>> stop including me in Yeah. Exactly. the
2:00:05LGBT, you know, it's like, wait a
2:00:07second, why are we being included all
2:00:09the time in this situation?"
2:00:10>> Exactly. Exactly. When especially when,
2:00:13you know, like my friend Tim Dylan's
2:00:15talked about this is like it's really
2:00:16homophobic because you're taking these
2:00:18gay kids and you're you're telling them
2:00:20like, "Hey, you're not gay. You're
2:00:22actually a girl."
2:00:23>> Yes. and you know, hey, hey, go make it
2:00:26so that you can never have an orgasm
2:00:27again and you'll be happy.
2:00:29>> Like,
2:00:30>> yeah,
2:00:30>> [ __ ] permanent mutilation, permanent
2:00:32castration of of kids is like I I think
2:00:36>> I I we should look look at at uh anyone
2:00:39who permanently castrates a kid as like
2:00:43right up there with Ysef Mangler.
2:00:45>> Yeah.
2:00:45>> I mean, they're they're mutilating
2:00:47children.
2:00:48>> Yeah. Yeah. And um it's thought of as
2:00:51being kind. And the thing is, would you
2:00:54rather have a live daughter or a dead
2:00:56son?
2:00:57>> That's that's the that's the line they
2:00:58use.
2:00:59>> Yeah. Which is not supported by any
2:01:01data.
2:01:01>> No. In fact, the the probability of
2:01:03suicide increases.
2:01:05>> Right.
2:01:05>> This is important maybe for the audience
2:01:06to know. Uh the probability of suicide
2:01:09increases if you're transit kid, not
2:01:11decreases.
2:01:13>> By some accounts, it triples. So that
2:01:16that is an evil lie. And it's a lie that
2:01:20is supposedly compassionate. Imagine
2:01:22you've twisted reality to the point
2:01:24where
2:01:26confusing a child that's not even
2:01:29legally allowed to get a [ __ ] tattoo.
2:01:31>> Yeah.
2:01:31>> Right. Because you think that you could
2:01:33make a mistake with a tattoo, a totally
2:01:35removable thing,
2:01:36>> right?
2:01:36>> If I wanted to, tomorrow I can go to a
2:01:38doctor and they could laser off every
2:01:40tattoo that I have on me.
2:01:41>> Right.
2:01:42>> Okay. No harm, no foul. Yeah. But you
2:01:44get sterilized like that's it forever.
2:01:46Forever. Yes,
2:01:48>> they'll castrate you. You no longer have
2:01:50testicles. You have no penis. You have a
2:01:52hole where your penis used to be.
2:01:54>> Yes.
2:01:54>> And this is compassionate and this is
2:01:56preventing you from
2:01:57>> Actually, a lot of kids die uh in in
2:02:00with the these uh sex change operations.
2:02:02They die the number of deaths on the
2:02:04operating table. People don't hear about
2:02:06those. A lot of kids because that we
2:02:10it's we don't really actually have the
2:02:12technology to make this work. So a bunch
2:02:14of the times the kids just die in the
2:02:15sex change operations.
2:02:18>> Jesus Christ.
2:02:19>> Yeah. It's it's demented which it should
2:02:21be viewed as like you know um like like
2:02:26evil Nazi doctor stuff basically. That's
2:02:28why it was like real Nazi not the
2:02:30[ __ ] fake Nazi stuff.
2:02:32>> Crazy that even pushing back against
2:02:33something that seems like fundamentally
2:02:36logically
2:02:37very easy to argue the old Twitter would
2:02:40ban you forever. Uh, yes.
2:02:45>> That's how crazy a social contagion can
2:02:48get when it completely defies logic,
2:02:50victimizes children, does something that
2:02:52makes no sense, does not supported by
2:02:54data, all connected to this ideology
2:02:57that trans is good. We got to save trans
2:03:00kids, protect trans kids.
2:03:02>> Yeah. And what I want to emphasize is
2:03:04that the the save trans kids thing is a
2:03:06lie. Um if if you if you if you castrate
2:03:10kids and trans them the probability of
2:03:13suicide increases. It does not decrease.
2:03:15It substantially increases. Um the the
2:03:19the studies have done that I've seen the
2:03:22the risk of suicide
2:03:24triples if you trans kids.
2:03:27So you're not saving them, you're
2:03:28killing them. Moreover, during the sex
2:03:31change operation, there are many deaths
2:03:33that occur during the sex change
2:03:35operation.
2:03:38>> Jesus Christ.
2:03:41It's just crazy that this is a real
2:03:42issue.
2:03:43>> Yeah, it it's a nightmare fever dream
2:03:46and and people are finally waking up
2:03:48from it.
2:03:50Now, when you started getting into the
2:03:53Doge stuff and started finding how much
2:03:57money is being shuffled around and moved
2:03:59around to NOS's and how much money is
2:04:02involved and
2:04:04just totally untraceable funds like
2:04:08this is again something like two years
2:04:11plus ago you weren't aware of it all.
2:04:15>> No, I was aware of it. Um I just didn't
2:04:17realize how how the how big it was. just
2:04:20just just how much waste and forward
2:04:22there is in the government is truly
2:04:24vast.
2:04:26Um in fact the government didn't even
2:04:27know um and nor did they care.
2:04:33>> That's crazy.
2:04:34>> Yeah.
2:04:36>> And
2:04:36>> I mean just like some of the very basic
2:04:39stuff that Doge did um will have lasting
2:04:42effects. Um and some of these things
2:04:44like they're so elementary you can't
2:04:45believe it. So, um the the doge team got
2:04:50the um you know the the mo most of the
2:04:54main payments computers um to require
2:04:59uh the the congressional appropriation
2:05:01code. So, when a payment is made, you
2:05:02have to actually enter the congressional
2:05:04appropriation card. That used to be
2:05:06optional and and often would be just
2:05:08left blank. So, the money would just go
2:05:10out, but it wasn't even tied to a
2:05:12congressional appropriation. Then they
2:05:14also Dutch team also made the uh comment
2:05:17field for the payment mandatory. So you
2:05:20have to say something. We're not saying
2:05:21that what what is said like you can say
2:05:23anything. You you your cat could run
2:05:25across the keyboard. Uh you could go
2:05:27querty ASDF but you have to say
2:05:29something above nothing because what we
2:05:31found was that there were tens of
2:05:33billions maybe hundreds of billions of
2:05:34dollars that were zombie payments. So
2:05:37there like somebody had approved a
2:05:39payment uh uh somebody in the government
2:05:42approved a payment um and uh some
2:05:45recurring payment and um they retired or
2:05:48died or changed jobs and no one turned
2:05:51the money off.
2:05:54So the money would just keep going out
2:05:56and and it's a pretty rare
2:05:58>> go where
2:05:59>> to to the a company or an individual um
2:06:03and it's a pretty rare company or
2:06:05individual who will complain that
2:06:06they're getting money that they should
2:06:08not get and and a bunch of the money was
2:06:10just going to the were transfer payments
2:06:12to the states.
2:06:13>> So these are automatic payments there no
2:06:15accounting for them at all.
2:06:16>> I imagine like like there's an automatic
2:06:18debit of your credit card
2:06:20>> um and you don't you never look at the
2:06:22statement,
2:06:22>> right? Um, so it's just money going out.
2:06:26Uh, that's why I call them zombie
2:06:28payments. Um, that there might have been
2:06:31they might have been legitimate at one
2:06:33point, but the person who approved that
2:06:35recurring payment um, changed jobs,
2:06:37died, retired, or whatever, and no one
2:06:39ever turned the money off.
2:06:43And my guess is that's probably at least
2:06:47a hundred billion a year, maybe 200. and
2:06:51going where
2:06:53>> uh to to uh
2:06:58uh I mean there there are millions of
2:06:59these payments. So so it's I mean
2:07:02>> millions
2:07:03>> uh yes
2:07:04>> millions of payments that are going to
2:07:06who knows where.
2:07:08>> Yes. In a bunch of cases there are fraud
2:07:10rings that operate uh professional fraud
2:07:12rings that operate to exploit the
2:07:14system. um they figure out some security
2:07:18hole in the system and they just do
2:07:21professional fraud. Um and um you know
2:07:25that's where we found for example people
2:07:27who were you know 300 years old in the
2:07:30social security administration database.
2:07:33Now, I thought that this was uh a
2:07:36mistake of not registering their deaths
2:07:39that people were born like a long time
2:07:41ago and it had defaulted to like a
2:07:44certain number and so that after time
2:07:47those people were still in the system.
2:07:49It was just an error of the the way the
2:07:52accounting was done.
2:07:54>> Yeah. So, um that's not true. So,
2:07:58there's or or at least one of two things
2:08:00must be true. um the there's a there's a
2:08:04typo or or some mistake in the computer
2:08:07or it's fraudulent, but we don't have
2:08:09any 300-year-old vampires uh living in
2:08:12America.
2:08:12>> Allegedly.
2:08:13>> Allegedly. Um and uh or or and we don't
2:08:17have people in some cases who's who are
2:08:18receiving payments who are born in the
2:08:20future.
2:08:22[laughter]
2:08:23>> Born in the future.
2:08:24>> Born in the future.
2:08:25>> Really?
2:08:25>> Yes. there the people receiving payments
2:08:29whose birth date uh um was like in 2100
2:08:34and something
2:08:34>> okay so there's
2:08:35>> like next century
2:08:36>> is there a task
2:08:37>> we know we know that one of two things
2:08:38must be true um that that that either
2:08:41there's a mistake in the computer or
2:08:44it's fraud
2:08:45but if you have someone's birth date
2:08:47that's either in the future or where
2:08:49they are older than the oldest living
2:08:51American because the oldest living
2:08:52American is 114 years old so if they're
2:08:54more than 114 years
2:08:56um there is either a mistake and someone
2:08:58should should call them and say I I
2:09:01think we have your birthday uh wrong
2:09:03because it says you were born in 17 you
2:09:06know 8086
2:09:08um and um you know that was before you
2:09:11know um you know before there was really
2:09:14an America you know it was it was like
2:09:17uh you know kind of early you know we're
2:09:21still fighting England type of thing uh
2:09:23[laughter]
2:09:24you
2:09:26It's like uh this person either needs to
2:09:29be in the Guinness Book of World Records
2:09:31or or they're not alive,
2:09:32>> but still at the end of the day, money
2:09:34is going towards that account that's
2:09:36connected to this person that is either
2:09:38non-existent or
2:09:40>> so like like Yeah. So there was like uh
2:09:43I think um something like I don't know
2:09:4620 million uh people in the Social
2:09:50Security Administration database that
2:09:51could not possibly be alive um if their
2:09:54birth date is like based on their birth
2:09:56date they could not possibly be alive.
2:09:58>> And then to be clear 20 million people
2:10:00that were receiving funds
2:10:02>> uh a bunch of
2:10:05most of them were not receiving funds.
2:10:07Some of them were receiving funds. Most
2:10:09were not receiving funds. But so let me
2:10:11tell you how the scam works. It's it's a
2:10:12bank shot. So the Social Security
2:10:16Administration database is used as the
2:10:17source of truth by all the other
2:10:19databases that the government uses. So
2:10:22even if they stop the payments on the
2:10:23Social Security Administration database
2:10:25like unemployment insurance, Small
2:10:27Business Administration, student loans
2:10:29all check the Social Security
2:10:32Administration database to say is this
2:10:34is this a legitimate alived person? And
2:10:38uh and if the social security database
2:10:40will say yes, this person is still alive
2:10:42even though they're 200 years old. Um
2:10:44but forgets to mention that they're 200
2:10:45years old, it just says it just returns
2:10:47uh uh when when the computer is queries,
2:10:51it says yes, this person is alive. And
2:10:54so then they're able to exploit the
2:10:55entire rest of the government ecosystem.
2:10:58So fake then you get fake student loans,
2:11:00then you get fake unemployment
2:11:01insurance, then you get fake medical
2:11:03payments. And this doesn't have to be
2:11:05tied to an individual where where
2:11:07there's an address where you can check
2:11:09on this person.
2:11:10>> No, if you did do if just did any check
2:11:13at all, you would stop this.
2:11:17>> So, so, so that's that that that's so so
2:11:20>> And how much money do you think is
2:11:21>> any check like anything at all that
2:11:24would stop would stop the forward like
2:11:26any effort at all?
2:11:28>> Um, yeah.
2:11:29>> So, there's multiple layers. the social
2:11:31security number verifies that this is a
2:11:33real person and then the other systems
2:11:35check every other government payment and
2:11:38every other government payment system
2:11:39for everything for like small small
2:11:41business administration uh student loans
2:11:44uh Medicaid Medicare uh every other
2:11:47government payment of which there are
2:11:48many there there actually hundreds of
2:11:50government payment systems uh can all be
2:11:52exploited so long as social security
2:11:55database says this person is alive
2:11:59that's the nature of the scam It's a
2:12:01bank shot. So then the then the rebuttal
2:12:03from the Dems is like, oh well the vast
2:12:05majority of the people who are marked as
2:12:06alive in the Social Security
2:12:07Administration weren't receiving Social
2:12:09Security Administration payments. That
2:12:10is true. What they forgot to mention is
2:12:12they're getting fraudulent payments from
2:12:13every other government program.
2:12:17And that's why the the DMs were so
2:12:19opposed to turning off to to declaring
2:12:22someone dead who was dead because it
2:12:24would stop the entire other all the
2:12:26other fraud from happening. And so, but
2:12:28all this is it trackable like all this
2:12:30other fraud.
2:12:31>> If they wanted to, they could chase it
2:12:32all down.
2:12:33>> Yeah. It's not even hard.
2:12:36>> And yet they're opposing chasing it all
2:12:38down.
2:12:38>> They're opposing chasing it all down
2:12:40because it would it turns off the money
2:12:41magnet for the illegals.
2:12:45Wow.
2:12:48Because it's very logical to to like
2:12:51like I'm saying the most common sense
2:12:53things possible. If someone's got uh a
2:12:56birthday in social security that is an
2:12:59impossible birthday, meaning they are
2:13:02older than the oldest living American or
2:13:04were born in the future, then you should
2:13:07call them and say, "Excuse me, we seem
2:13:10to have your birthday wrong."
2:13:13Uh because it says that you're 200 years
2:13:14old. That's all you need to do.
2:13:18Um, and
2:13:19>> and then you would remove them from the
2:13:20social security database and make that
2:13:22number no longer available for all those
2:13:23other government payments.
2:13:25>> Exactly.
2:13:26>> Wow.
2:13:29And how much money are we talking?
2:13:31>> It's hund hundreds of billions of
2:13:32dollars.
2:13:34>> And this is all traceable. Like you
2:13:36could hunt all
2:13:37>> like you don't need to be Sherlock
2:13:38Holmes here is what I'm saying.
2:13:41>> Well, this we don't need to call
2:13:42Sherlock Holmes for this one. Is this
2:13:43part of
2:13:44>> you just need to call the person
2:13:46>> and and say, "Excuse me, we either we we
2:13:49seem to have the [laughter] like we we
2:13:51we must have your birthday wrong because
2:13:53it says you're 200 years old or were
2:13:55born uh in the future. Um so could you
2:13:57tell us what your birthday is?
2:14:00That's all you need to do. It's it's
2:14:01that simple." But the all these other
2:14:04government payments that are available
2:14:06that are connected to this social
2:14:07security number, it seems like if you
2:14:10just chased that all down, Yeah.
2:14:13>> you would find the widespread fraud. You
2:14:16would find where it's going.
2:14:18>> Yes. The but the root of the problem is
2:14:20the social security administration
2:14:22database because um the social security
2:14:25number in the United States is used as a
2:14:27deacto national ID number.
2:14:32You know that's why like the bank always
2:14:34asks for your social like the you know
2:14:37any financial institution will ask for
2:14:38your social security number.
2:14:44>> This is it sounds so insane that this
2:14:46isn't chased down. I mean
2:14:48>> I agree
2:14:49>> that I mean I mean that in and of itself
2:14:51is that's such mishandling.
2:14:54>> Yes.
2:14:58No it's mind-blowing. Um, so yeah, it's
2:15:02crazy.
2:15:02>> Well, you were very reluctant last time
2:15:04you were here to talk about the extent
2:15:06of some of the fraud because you're
2:15:08like, they could kill me because this is
2:15:11kind of
2:15:12>> Oh, what? Yeah. What I was saying is
2:15:14that um the like if you create if like
2:15:19uh
2:15:22I like like to be pragmatic and
2:15:25realistic um you actually can't manage
2:15:28to zero fraud. you can manage to low
2:15:30fraud number but not to zero fraud. If
2:15:32you manage to zero fraud, um you you
2:15:35you're going to push so many people over
2:15:36the edge who are receiving fraudulent
2:15:38payments that the number of inbound
2:15:40homicidal maniacs will be uh really hard
2:15:43to overcome. So I I'm I'm actually
2:15:46taking I think quite a reasonable
2:15:48position which is that we should simply
2:15:50reduce the amount of fraud which I think
2:15:52is not an extremist position. Um, and we
2:15:56should aspire to, you know, have less
2:15:59fraud over time. Um, not that we should
2:16:02be ultra draconian and eliminate every
2:16:05last scrap of fraud. Um,
2:16:08which I guess would be nice to have, but
2:16:10but like we don't even need to go that
2:16:11extreme. I'm I'm saying we should just
2:16:13stop the blatant large scale super
2:16:15obvious fraud.
2:16:18>> I think that's a reasonable position.
2:16:19>> It's a very reasonable position. Yeah.
2:16:20And so what was the most shocking push
2:16:24back that you got when you started
2:16:26implementing Doge? When you started
2:16:28investigating into where money was
2:16:31going?
2:16:34Well, um I guess it this was I should
2:16:37have anticipated this, but um
2:16:41while most of the fraudulent government
2:16:44payments to especially to the NOS's go
2:16:46to the Democrats, most of it like I
2:16:48don't know for argument sake let's say
2:16:5080% maybe 90%. Um um 10 to 20% of it
2:16:56does go to Republicans.
2:16:59And so when we'd turn off funding to a
2:17:01fraudulent NGO, we'd get complaints from
2:17:05whatever the 10% of Republicans who were
2:17:06receiving uh the money and and they
2:17:09would, you know, they would very loudly
2:17:11complain. Um
2:17:15because the the honest answer is the
2:17:18Republicans are are partly they're
2:17:21receiving some of the fraud, too.
2:17:23They're getting a big
2:17:25>> Jesus.
2:17:28Yeah, it's I want to be clear. It's it's
2:17:30not like the Republican party is some um
2:17:33ultra pure paragon of virtue here.
2:17:35>> No.
2:17:36>> Okay. Um
2:17:37>> well, you see that with the
2:17:38congressional insider training. It's
2:17:40across the board.
2:17:42>> Yeah.
2:17:42>> It's left and right.
2:17:43>> I mean, the whole uni party criticism
2:17:46has some validity to it. you know,
2:17:48there's so um and it's it's like if you
2:17:52turn off fraudulent payments, it's not
2:17:54like like I say, it's not like 100% of
2:17:56those payments were going to Democrats.
2:17:58A a small percentage were also going to
2:18:00Republicans. Those Republicans
2:18:02complained very loudly.
2:18:04Um and um
2:18:08you know and and that's that's
2:18:11so there was a lot of push back on the
2:18:14Republican side for when we started
2:18:15cutting some of these these funds
2:18:18and I tried telling them like well you
2:18:20know 90% of the money is going to your
2:18:22opponents but they still if they even if
2:18:26they're getting 10% of
2:18:27>> they want their peace.
2:18:28>> Yeah. They want their peace
2:18:28>> and they've been getting that peace for
2:18:30a long time.
2:18:30>> Yes.
2:18:35Did you see
2:18:35>> this is why like you know politics is
2:18:37like
2:18:37>> it's dirty business.
2:18:39>> Yeah. I mean that's like saying if like
2:18:41you know if if you if you like sausages
2:18:43and respect the law do not watch either
2:18:45of them being being made [laughter]
2:18:51>> yeah. Wow.
2:18:55Well that's not even true because I've
2:18:56made sausage before.
2:18:57>> Yeah. Yeah. It's actually like it's not
2:18:59that big a deal. Yeah. fat and spices
2:19:01and casing,
2:19:03>> run it through the machine. Not that big
2:19:04a deal.
2:19:06>> Yeah. Um but uh yeah, I mean I I think
2:19:10the stuff I'm saying here is not uh like
2:19:13like if if you stand back and think
2:19:14about it for a second like oh yeah that
2:19:16that makes sense, you know.
2:19:17>> Um the it's it's not like um it's not
2:19:22like one political party is going to be
2:19:24um
2:19:25you know pure devil or pure angel.
2:19:28There's, you know, I think there's
2:19:30there's there there's there's much more
2:19:31corruption on the Democrat side, but
2:19:33it's not there's not there's still some
2:19:35corruption on the Republican side.
2:19:37>> How did it happen that the majority of
2:19:38the corruption wound up being on the
2:19:40Democrat side?
2:19:42>> Well, because the the the transfer
2:19:44payments, especially to illegals, um,
2:19:47uh, are very much on the Democrat side.
2:19:49>> That so that's the root of it all is the
2:19:50illegal situation.
2:19:52>> Yes. I mean, there's
2:19:54>> or a focal point.
2:19:55>> Yes. It's it's also like it's it's um
2:19:59it's it would also be accurate to say
2:20:01that while
2:20:03obviously not everyone who is a Democrat
2:20:05is a criminal, almost everyone who is a
2:20:07criminal is a Democrat [laughter]
2:20:11because because the Democrats are the
2:20:14soft crime party. So if you're a
2:20:16criminal, who you going to vote for?
2:20:18>> Right.
2:20:20Right.
2:20:20>> The soft crime party. Did you think you
2:20:23were going to be able to get more done
2:20:25than you were?
2:20:28>> Um, we did get a lot done,
2:20:30>> right?
2:20:30>> Um, and Doge is still still still
2:20:32happening, by the way. Um, this the the
2:20:35Doge is still underway. There are still
2:20:37there are still um there's still waste
2:20:40and fraud being being cut by by the Doge
2:20:42team. So, it hasn't stopped. Um, the
2:20:45>> it's less publicized.
2:20:46>> It's less publicized. Um, and they don't
2:20:49have like a clear person to attack
2:20:52anymore.
2:20:52>> Well, it seems like they basically they
2:20:55they applied immense pressure to me to
2:20:58just to stop it. So then I'm like the
2:21:00best thing for me is to just, you know,
2:21:02cut out of this. In any case, as a
2:21:04special government employee, I could
2:21:05only be there for like 120 days anyway,
2:21:07something like that. So whatever the law
2:21:08says. So I I could I I I was necessarily
2:21:12could only be there for 4 months uh as a
2:21:14special government employee. So, um
2:21:18um but uh yeah, I mean I mean you turn
2:21:21off the money spigot to to fraudsters,
2:21:23they get very upset to say the least. Um
2:21:27and um but my like my death threat level
2:21:30went uh ballistic, you know, was like a
2:21:33like a rocket going to orbit. Um
2:21:37yeah. Um, so but now that now now now
2:21:40that I'm not in DC that that that I
2:21:42guess they don't really have a person to
2:21:44attack uh anymore.
2:21:46>> Um,
2:21:46>> well the rhetoric about you has calmed
2:21:48down significantly.
2:21:51>> Yeah,
2:21:51>> it was disturbing. It was disturbing to
2:21:53watch. It was like this is crazy.
2:21:55>> And to watch these politicians engage in
2:21:57it and all these people just like
2:21:58framing you as this monster. I was like
2:22:01this is so weird. Like this is what
2:22:02happens when you uncover fraud.
2:22:04>> Yes.
2:22:05>> The whole machine turns on you. And if
2:22:07it wasn't for a person like you who owns
2:22:09a platform and has an enormous amount of
2:22:11money, like could have destroyed you.
2:22:14>> Yeah.
2:22:15>> And that was the goal.
2:22:16>> The goal was to destroy me. Absolutely.
2:22:18>> Because you were getting in the way
2:22:20>> of this amazing graft.
2:22:22>> The the this gigantic fraud machine.
2:22:24>> Yeah.
2:22:25>> Um like I think I think Doge team's on
2:22:28done a lot of good work. Um, you know,
2:22:32and in in terms of uh fraud and waste
2:22:35prevented, my guess is it's, you know,
2:22:38probably on the order of two or 300
2:22:39billion a year. So, it's pretty good.
2:22:42>> What do you think could have been done
2:22:44if you just had like full reign and
2:22:45total cooperation? How much do you think
2:22:48you could have saved?
2:22:50>> I mean, what level of of power are we
2:22:52assuming here?
2:22:53>> Godlike.
2:22:54>> Oh, yeah. I probably cut the federal
2:22:55budget in half
2:22:57and get more done.
2:23:01That is so crazy. It is so crazy that
2:23:05get more done and federal budget
2:23:06widespread. It's that widespread.
2:23:09>> Well, I mean a whole bunch of government
2:23:11departments simply shouldn't exist in my
2:23:12opinion. um they they um you know um
2:23:16>> like examples
2:23:18>> well the department of ed department of
2:23:19education which was created uh recently
2:23:22like under Jimmy Carter um uh the our
2:23:26educational results have uh gone uh
2:23:29downhill ever since it was created. So
2:23:32if you if you create a department and
2:23:34the result of creating that department
2:23:35is a massive decline in educational
2:23:37results and it's department of
2:23:39education, you're better off not having
2:23:41it because we're literally we were did
2:23:44better before there was one than after
2:23:46>> when you let the states run it.
2:23:47>> Yes.
2:23:48>> Yeah.
2:23:48>> Because at least the states can compete
2:23:50with one another. Um so but the problem
2:23:54is like here like cutting department
2:23:55education. our kids need education.
2:23:57Yeah, they do. But but this is a new
2:23:59department that didn't even exist um you
2:24:02know until late the late 70s. Um and
2:24:06ever since that department was created,
2:24:08the results educational results have
2:24:10declined.
2:24:13And so why would you have an institution
2:24:16continue that has made education worse?
2:24:20It doesn't make sense.
2:24:21>> They killed it though, right? No, there
2:24:23still unfortunately
2:24:24>> but they were trying to kill it.
2:24:25>> It has been substantially reduced.
2:24:27>> Okay.
2:24:28>> Um
2:24:28>> what other organizations
2:24:31what other departments?
2:24:32>> Well, I mean I'm a small government guy.
2:24:35So um you know when when the you know
2:24:39when the country was created we just we
2:24:41we just had the department of state,
2:24:43department of war um you know and and uh
2:24:48sort of the sort of the department of
2:24:49justice. We had an attorney general uh
2:24:52and Treasury Department. Um
2:24:56I don't know why you need more than
2:24:57that.
2:25:00>> So what other departments specifically
2:25:02do you think are just completely
2:25:03ineffective?
2:25:05>> Well, I mean here it's like a question.
2:25:07It's a sort of philosophical question of
2:25:09how much government do you think there
2:25:10should be?
2:25:12>> Right.
2:25:12>> Um in my opinion, there should be uh the
2:25:16least amount of government. I've heard
2:25:17the most bizarre argument against this
2:25:20is that you're cutting jobs and you're
2:25:22gonna leave people jobless. And I'm
2:25:23like, but their jobs are useless.
2:25:26>> Yeah. Paying people to do nothing
2:25:28doesn't make sense. Um like there's a
2:25:30like a a great um
2:25:34a story about like Milton Friedman who
2:25:36is awesome. Um uh what like generally
2:25:39whatever Milton Friedman said is you
2:25:41know people should should do that thing.
2:25:43Uh I'm not sure if it's apocryphal or
2:25:45not, but um like like someone complained
2:25:48to him like he he he observed I think
2:25:51people that were like um digging ditches
2:25:55with uh you know with with um shovels
2:25:58and um and he said well like allegedly
2:26:02Freeman said, "Well, I think I think you
2:26:04should use you know um excavating
2:26:06equipment instead of shovels and you
2:26:08could get it done with far fewer
2:26:10people." And then and then someone said,
2:26:12"But then we're going to lose a lot of
2:26:13jobs." Well, in that then Freedom says,
2:26:16"Well, in that case, why don't you have
2:26:17them use teaspoons?" [laughter]
2:26:23Just just dig ditches with teaspoons.
2:26:25Think of all the jobs you'll create.
2:26:27>> I mean, [laughter]
2:26:30it's [ __ ] Basically, you just want
2:26:33people to work on on things that are
2:26:34that are productive. You want people to
2:26:36work on on building things um on
2:26:39building you know uh providing products
2:26:43and services that people find valuable
2:26:45um like you know making food um being
2:26:48you know being a farmer or a plumber or
2:26:51electrician or just anyone who's a
2:26:53builder or providing useful services. Um
2:26:57and um that's what you want people to be
2:26:59doing. um not fake government jobs uh
2:27:03that that that don't add any value or
2:27:04may subtract value. Um
2:27:08um there's also like you know uh to
2:27:11illustrate the absurdity of also how is
2:27:13the e how is the economy measured like
2:27:16the the way economists measure the
2:27:18economy is is is nonsensical uh because
2:27:20they'll measure any job no matter even
2:27:22if that job is a dumb job that has no
2:27:24point and is even counterproductive. So
2:27:27like, so the like the joke is like
2:27:29there's two economists going on a hike
2:27:31in the woods
2:27:33and [laughter]
2:27:33they come across
2:27:35a pile of [ __ ] and one economist says to
2:27:38the other, "I'll pay you $100 to eat eat
2:27:40that [laughter] shit."
2:27:42The economist eats the [ __ ] gets the
2:27:44$100. They they keep walking. Then the
2:27:46other econ then come across another pile
2:27:48of [ __ ] And and the the other economist
2:27:50says, "Now I'll pay you $100 to eat the
2:27:53pile of shit."
2:27:54>> [laughter]
2:27:56>> say pays the so pays the other economist
2:27:59$100 pile of [ __ ] Then they then then
2:28:01then the way said they said like wait a
2:28:03second um we both just ate a pile of
2:28:06[ __ ] and we're no and and and and we're
2:28:08we're no we we we we
2:28:11don't have any more extra money like
2:28:13like we both you just gave the $100 back
2:28:15to me and we both ate a pile of [ __ ]
2:28:18This doesn't make any sense. And they
2:28:20said, "No, no, but think of the economy
2:28:22because that's $200 of that in the
2:28:25economy that that basically [laughter]
2:28:27measure eating eating [ __ ] would count
2:28:30as a as as a as a job.
2:28:34[laughter]
2:28:37This is this is this is to illustrate
2:28:39the absurdity of of of
2:28:42economics.
2:28:43>> One of the things you said when
2:28:44[laughter] things should not count as a
2:28:46job." One of the things you said when
2:28:47you stepped away is that you're kind of
2:28:49done and that it's unfixable. That um
2:28:54well or under its current form the way
2:28:58people are approaching it
2:29:02you can you can make it directionally
2:29:04better but ultimately you can't uh fully
2:29:06fix the system. Um,
2:29:10so, uh, I I I like like like like it it
2:29:15it is it is it would be accurate to say
2:29:17that even
2:29:19like like unless you could go like super
2:29:21draconian like you know Gangghaskhan
2:29:23level on on on cutting waste waste and
2:29:27fraud which you can't really do in a
2:29:29democratic country um an aspirationally
2:29:33democratic country then um there's no
2:29:37way to solve the the the debt crisis.
2:29:39So, we got we got national debt that's
2:29:40just insane where the debt payments the
2:29:42interest payments on the debt exceed our
2:29:44entire military budget.
2:29:47I mean, that's one that was one of the
2:29:48wakeup calls for me. I was like, "Wait a
2:29:49second. The interest on a national debt
2:29:52is bigger than the entire the entire
2:29:55military budget
2:29:57um and growing. Um this is crazy. Um so
2:30:03um
2:30:07so so even if you implement all these
2:30:09savings, you're only delaying the day of
2:30:11reckoning for when America becomes goes
2:30:14bankrupt. So unless you go full
2:30:17Genghaskhan, um which you can't really
2:30:19do. So
2:30:22um
2:30:25so I came to the conclusion that the
2:30:27only way that the only way to get us out
2:30:30of the debt crisis and to prevent
2:30:33America from going bankrupt is AI and
2:30:35robotics.
2:30:36So, like we need to grow the economy
2:30:40um at
2:30:42at a at a at a rate that allows us to u
2:30:47to pay off our debt. Um
2:30:51and um I I I guess people just generally
2:30:53don't appreciate the degree to which um
2:30:57you know this the the government
2:30:58overspending is is a problem. Um but
2:31:01even like the social security website,
2:31:04this is under the Biden administration.
2:31:06On the website, it would say like uh we
2:31:08based on on current demographic trends
2:31:11and um you and and and how much money
2:31:14social security is bringing in versus
2:31:16how many social security recipients
2:31:17there are because we have an aging
2:31:19population. Relatively speaking, the
2:31:20average age is is increasing. Social
2:31:22Security will not be able to ma u
2:31:24maintain its full payments u I think in
2:31:27by 2032
2:31:29there. Okay. So they will social
2:31:31security will have to stop will start
2:31:32reducing the the amount of money that
2:31:34that's been paid people um in in about
2:31:37seven years.
2:31:38>> And so the only way to fix that robotics
2:31:41manufacturing
2:31:44raise GDP
2:31:46>> you've got to basically uh massively
2:31:47increase the um uh economic output which
2:31:51is and the only way to do that is AI AI
2:31:54and robotics. So, so basically we're
2:31:56going bankrupt without AI and robotics
2:31:58with even with a bunch of savings um
2:32:02[snorts] the savings the savings like
2:32:04reducing uh waste and forward can give
2:32:07us a longer runway but it cannot
2:32:09ultimately pay off our national debt.
2:32:10>> So what do you think the solution is to
2:32:13the jobs that are going to be lost
2:32:14because of AI and robotics? The jobs due
2:32:17to automation the jobs due to no longer
2:32:20do we need human beings to do these jobs
2:32:22because AI is doing them. Do you think
2:32:25it's going to be some sort of a
2:32:26universal basic income thing? Do you
2:32:28think there's going to be some other
2:32:29kind of solution that has to be
2:32:30implemented
2:32:34because a lot of people are going to be
2:32:35out of work, right?
2:32:38Um I think there will be um actually a
2:32:41high demand for jobs but not necessarily
2:32:44the same jobs.
2:32:46So
2:32:47I mean this is actually this process has
2:32:50been happening um throughout um modern
2:32:54history. Um I mean there used to be like
2:32:57like doing calculations um ma manually
2:33:00with with like a pencil and paper. It
2:33:02used to be a job. So they used to have
2:33:04like buildings full of people called
2:33:06computers where the the banks would like
2:33:08all you do all day is is is um you do
2:33:12calculations because they didn't have
2:33:14computers. They didn't they didn't have
2:33:15digital didn't have digital computers
2:33:17that that people
2:33:18>> Yeah. Well, it was just people would
2:33:21just like add and subtract stuff on
2:33:22piece of paper and and and that that
2:33:24would be how banks would do you know
2:33:26financial processing
2:33:27>> and you'd have to literally go over
2:33:28their equations to make sure the books
2:33:30are balanced.
2:33:30>> Yeah. And most times it's just simple
2:33:32math like you know the like in a world
2:33:35before computers how did you calculate
2:33:37how did you you do transactions? You had
2:33:40to do them by hand.
2:33:42Um so then when computers were
2:33:44introduced the job of doing um you know
2:33:48bank calculations no longer existed. Um
2:33:52so people had to go do something else.
2:33:54Um and that's what's going to happen
2:33:56that what's that's what is happening at
2:33:58an accelerated rate um due to AI and and
2:34:02then robotics. That's the issue though,
2:34:03right? The accelerated rate because it's
2:34:05going to be
2:34:05>> it's the accelerator. It's it's it's
2:34:06just happening. Like I said, like AI is
2:34:09the supersonic tsunami.
2:34:12>> So that's what I call it, supersonic
2:34:15tsunami. Um so
2:34:18>> it's like what other jobs will be
2:34:21available that aren't available now
2:34:23because of AI?
2:34:26>> Um well AI um will is is really still
2:34:29digital. Ultimately, um AI can improve
2:34:32the productivity of of humans who who um
2:34:35build things with their hands or do
2:34:37things with their hands like plum, you
2:34:38know, literally
2:34:40welding,
2:34:42electrical work, plumbing, anything
2:34:44that's that's [snorts] physically moving
2:34:45atoms. Um like cooking food or um you
2:34:51know farming or or like like anything
2:34:54that's that's physical uh those jobs
2:34:57will exist for a much longer time. But
2:34:59anything that is digital uh which is
2:35:02like just someone at a computer doing
2:35:04something, AI is going to take over
2:35:06those jobs like lightning,
2:35:09>> coding, anything along those lines.
2:35:11Yeah, [snorts]
2:35:12>> it's going to take over those jobs like
2:35:13lightning. Um just like it just like
2:35:17digital computers took over the job of
2:35:19people doing manual calculations
2:35:21but but much faster.
2:35:24>> So what happens to all those people?
2:35:25Like what kind of numbers are we talking
2:35:27about? you're going to lose most
2:35:28drivers, right? Commercial drivers.
2:35:30You're going to have automated vehicles,
2:35:32AI controlled systems, just like uh
2:35:35there's certain ports in China, I think
2:35:37in Singapore, where everything's
2:35:39completely automated.
2:35:40>> Yeah. Mostly. Yeah. Yeah.
2:35:42>> Yeah. So, you're going to lose a lot of
2:35:45those jobs. Long shoreman jobs,
2:35:47trucking, commercial drivers.
2:35:49>> Yeah. Yeah. I mean, we actually do have
2:35:50a shortage of of truck drivers, but
2:35:52there's there's actually um
2:35:54>> Well, that's why California has hired so
2:35:56many illegals to do it. Have you seen
2:35:57those numbers?
2:35:59>> Yeah. Um I mean, the problem is like
2:36:01when you when people don't know how to
2:36:03drive a semi-truck, which is actually a
2:36:05hard thing to do, then they they crash
2:36:07and kill people.
2:36:08>> Yeah.
2:36:08>> Um a friend of mine's wife was killed by
2:36:10an an illegal driving a truck and she
2:36:13was just out biking. Um and uh there was
2:36:17an illegal he didn't know how to drive
2:36:19the truck or so or something. I mean and
2:36:21he he ran ran her over.
2:36:25Um so I mean like thing is like for
2:36:28something like you you can't you can't
2:36:31let people drive uh you know
2:36:35sort of an 80,000lb semi um if if they
2:36:39don't know how to do it.
2:36:41But in California, they're just letting
2:36:43people do it
2:36:44>> because they need people to do it.
2:36:46>> Well, they also need they want the votes
2:36:48and that kind of thing. But um but but
2:36:51yeah, like cars are um cars are going to
2:36:55be autonomous. Um, but there there's
2:36:57just so many desk desk jobs where where
2:36:59really people what people are doing is
2:37:01they're processing email um or they're
2:37:03answering the phone. Um, and and just
2:37:06anything that is that that isn't moving
2:37:09atoms like anything that is not
2:37:10physically like doing physical work that
2:37:13will obviously be the first thing those
2:37:15jobs will be and are being eliminated by
2:37:18by AI at a very rapid pace. Um
2:37:22um
2:37:24and ultimately
2:37:26I working will be optional
2:37:29uh because you'll have robots plus AI
2:37:33um and we'll have in a benign scenario
2:37:36universal high income not just universal
2:37:38basic income universal high income
2:37:41meaning anyone can have any products or
2:37:43services that they want.
2:37:46So you
2:37:46>> but but there will be a lot of trauma
2:37:48and disruption along the way.
2:37:51>> So you anticipate a basic income from
2:37:55that that the economy will boost to such
2:37:58an extent that a high income would be
2:38:00available to almost everybody. So we'd
2:38:02essentially eliminate poverty
2:38:05>> um in the benign scenario. Yes. So like
2:38:09the way
2:38:10>> there's multiple scenarios.
2:38:11>> There are multiple scenarios. There's a
2:38:12lot of ways this movie can end. Um, like
2:38:15the reason I'm so concerned about AI
2:38:17safety is that like one of the
2:38:18possibilities is the Terminator
2:38:20scenario. It's not it's not 0%.
2:38:23Um, so
2:38:25um, that's why it's like I'm like really
2:38:29banging the drum on AI needs to be
2:38:32maximally truth seeeking. like don't
2:38:35make I don't force AI to believe a lie
2:38:37like that the for example the founding
2:38:39fathers were actually a group of diverse
2:38:41women or that misgendering is worse than
2:38:43nuclear war because you if if that's the
2:38:45case and then you get the robots and the
2:38:47AI becomes omnipotent it can enforce
2:38:51that outcome
2:38:55and then [clears throat] then like
2:38:59unless you're a diverse woman you're
2:39:00you're out of the picture so we're we're
2:39:02toast So that's
2:39:04>> [snorts]
2:39:04>> um or you might wake up as a diverse
2:39:05woman [laughter] one day
2:39:08has adjusted the picture and and we are
2:39:11now
2:39:12>> everyone's a diverse woman. So that
2:39:14would be that's the the worst possible
2:39:16situation. So what would be the steps
2:39:19that we would have to take in order to
2:39:22implement the benign solution
2:39:25where it's universal high income like
2:39:28best case scenario this is the path
2:39:30forward to universal high income for
2:39:34essentially every single citizen that
2:39:37the the economy gets boosted by AI and
2:39:40robotics to such an extent that no one
2:39:43ever has to work again and what about
2:39:45meaning for those people which is which
2:39:48gets really weird.
2:39:49>> Yeah.
2:39:52>> I don't know how to answer the question
2:39:53about meaning. Um
2:39:54>> that's an individual problem, right? But
2:39:57it's going to be an individual problem
2:39:58for millions of people.
2:40:02>> Yeah.
2:40:06Well, I I mean I I I guess I've like for
2:40:10fought against saying like, you know, I
2:40:13you know, I've been I've been a voice
2:40:14saying like, "Hey, we need to slow down
2:40:15AI. we need to slow down all these
2:40:17things. Um, and and we need to, you
2:40:21know, not not have a crazy AI race. I've
2:40:23been saying that for a long time, for 20
2:40:2420 plus years. Um, but but then I, you
2:40:28know, I came to realize that, um, really
2:40:30there's two choices here. Either be a
2:40:33spectator or a or a participant. And if
2:40:36I'm a, if I'm a spectator, I can't
2:40:38really influence the direction of AI.
2:40:40But if I'm a participant, I can try to
2:40:41influence the direction of AI and have a
2:40:43maximally truth seeeking AI with with
2:40:46good values that uh loves humanity. And
2:40:49that's what we're trying to create with
2:40:50Grock at XAI. And um you know, the
2:40:54research is I think bearing this out.
2:40:55Like I said, the when they when they
2:40:57compared like how do AIs value the
2:40:59weight of a human life? Um
2:41:02Grock was the only one the only one of
2:41:04the AIS that weighted human life
2:41:06equally.
2:41:08um and and didn't and didn't say like a
2:41:10white guy's uh worth 120th of a of a of
2:41:13a a black woman's life. Literally,
2:41:16that's what they they calculation they
2:41:19came up with.
2:41:20>> So, I'm like, this is I'm like, this is
2:41:21very alarming. We should we got to watch
2:41:23this stuff.
2:41:23>> So, this is one of the things that has
2:41:25to happen in order to reach this benign
2:41:28solution.
2:41:30>> Yeah. We we we I I just keep
2:41:33>> Best movie ending. Yeah. Um, you you
2:41:36want a a curious truth seeeking AI. Um,
2:41:40and I think a curious truth seeeking AI
2:41:42will want to foster humanity. Uh,
2:41:45because we're much more interesting than
2:41:49um a bunch of rocks. Like you say, like
2:41:51like I I love Mars, you know, but but
2:41:55Mars is kind of boring. Like it's just a
2:41:57bunch of red rocks. Um, it does some
2:41:59cool stuff. It's got a tall mountain.
2:42:00It's got, you know, it's got the biggest
2:42:02re the biggest ravine and the tallest
2:42:03mountain. Um, but there's no there's no
2:42:06there's no animals or plants or and and
2:42:10there's no people. Um, and uh, you know,
2:42:14so humanity is just much more
2:42:16interesting if you're a curious truth
2:42:18seeeking AI than not humanity. It's just
2:42:21much more interesting. Um, I mean like
2:42:25as as humans, we could go for example
2:42:28and and eliminate all chimps. If we said
2:42:31if we put our minds to it, we could say
2:42:32we could go out and we could annihilate
2:42:34all chimps and all gorillas, but but we
2:42:36don't. Um there has been encroachment on
2:42:39their environment, but we we actually
2:42:41try to preserve uh the the uh chimp and
2:42:45gorilla habitats. Um
2:42:48and um and I think in a good scenario,
2:42:52uh AI would do the same with with
2:42:53humans. it would actually foster uh
2:42:57human civilization and care about human
2:42:59happiness.
2:43:01So this is um this is the thing to to
2:43:04try to achieve I think. Um,
2:43:08>> but what is the what does the landscape
2:43:10look like if you have Grock competing
2:43:12with Open AI, competing with all these
2:43:14different like
2:43:16how does it work? Like what what if you
2:43:21have AIs that have been captured by
2:43:23ideologies that are side by side
2:43:26competing with Grock? like how do we so
2:43:30this is one of the reasons why you felt
2:43:32like it's important to not just be a an
2:43:36observer but participate and then have
2:43:39Grock be more successful and more potent
2:43:42than these other applications. Yes, as
2:43:45long as there's at least one AI that is
2:43:47maximally truth seeeking, curious, and
2:43:50um you know, and for example, weighs all
2:43:53you know, human lives equally um does
2:43:56not favor one race or gender, then um
2:43:59then then that that that and and people
2:44:02are able to look at look at, you know,
2:44:04Grock at XAI and compare that and say,
2:44:06"Wait a second, why are all these other
2:44:08AIs uh being basically sexist and
2:44:11racist?" Um
2:44:14um and uh then then that that causes
2:44:17some embarrassment for the the other AIS
2:44:20and then they they they they fix they
2:44:22you know they they improve they tend to
2:44:24improve just in the in the same way that
2:44:26um acquiring Twitter and allowing the
2:44:29truth to be told and and not suppressing
2:44:31the truth um forced the other social
2:44:35media companies to be more truthful um
2:44:37by in in the same way having um Gro be a
2:44:42maximally truth seeeking, curious AI is
2:44:45will force the other AI companies to um
2:44:49be also be more truth seeeking and fair.
2:44:52>> And the funniest thing is even though
2:44:53like the socialists and the Marxists are
2:44:56in opposition to a lot of your ideas,
2:44:58but if this gets implemented and you
2:45:00really can achieve universal high
2:45:03income, that's the greatest socialist
2:45:06solution of all time. Like literally no
2:45:09one will have to work. Uh correct. Um
2:45:13like I said so so there is a benign
2:45:15scenario here which I think probably
2:45:16people will be happy with if if as long
2:45:19as we we achieve it which is sustainable
2:45:21abundance.
2:45:23um which is if if um if everyone can
2:45:26have every like like like if if you ask
2:45:28people like what's the future that you
2:45:29want
2:45:31>> um and uh I think a future where we
2:45:35haven't destroyed nature like you can
2:45:36still we have the national parks we have
2:45:38the the Amazon rainforest still still
2:45:40there we haven't paved we haven't paved
2:45:42the paved the rainforest like the
2:45:45natural beauty is still there but but
2:45:47people have nonetheless everyone has
2:45:50abundance everyone has excellent medical
2:45:52care. Everyone has whatever goods and
2:45:54services they want.
2:45:55>> And we just
2:45:56>> It kind of sounds like heaven.
2:45:57>> It sounds like it is like the ideal
2:46:00socialist utopia. And this idea that the
2:46:04only thing you should be doing with your
2:46:05time is working in order to pay your
2:46:08bills and feed yourself sounds kind of
2:46:10archaic considering the kind of
2:46:13technology that's at play.
2:46:14>> Yeah.
2:46:14>> Like a world where that's not your
2:46:18concern at all anymore. Everybody has
2:46:21money for food. Everybody has abundance.
2:46:23Everybody has electronics in their home.
2:46:25Everybody essentially has a high income.
2:46:28Now you can kind of do whatever you
2:46:30want. And your day can now be exploring
2:46:35your interests doing things that you
2:46:37actually enjoy doing. Your purpose just
2:46:40has to shift. Instead of, you know, I'm
2:46:43a hard worker and this is what I do and
2:46:45that's how I that's how I define myself.
2:46:47No. Now you can [ __ ] golf all day,
2:46:50you know? You can whatever it is that
2:46:52you enjoy doing can now be your main
2:46:55pursuit.
2:46:56>> Yeah.
2:46:57>> Well, that sounds crazy good.
2:47:00>> Yeah, that's that's that's the benign
2:47:02scenario that we should be.
2:47:03>> The best ending to the movie is actually
2:47:05pretty good.
2:47:07>> Yes. um like I think there's there is
2:47:11still this question of meaning um of
2:47:13like making sure people don't
2:47:16uh lose meaning you know like um so
2:47:19hopefully they can find meaning in ways
2:47:21that are not that that's not derived
2:47:22from their work
2:47:23>> and purpose purpose for things that you
2:47:26you know find things that you do that
2:47:28you enjoy but there's a lot of people
2:47:30that are independently wealthy that
2:47:32spend most of their time doing something
2:47:34they enjoy
2:47:34>> right
2:47:35>> and that could be the majority of people
2:47:38>> pretty much everyone.
2:47:39>> But we'd have to rewire how people
2:47:41approach life.
2:47:42>> Mhm.
2:47:43>> Which seems to be like acceptable
2:47:46because you're not asking them to be
2:47:47enslaved. You're exactly asking them the
2:47:50opposite. Like no longer be burdened by
2:47:52financial worries.
2:47:55Now go do what you like.
2:47:58>> Yes.
2:47:59>> Go [ __ ] test pizza.
2:48:02>> Do whatever you want.
2:48:03>> Um pretty much. Um, so that's uh that's
2:48:08that's the that's the that's probably
2:48:10the best case outcome.
2:48:11>> That sounds like the best case outcome
2:48:13period for the future. If you're looking
2:48:15at like how much people have struggled
2:48:17just to feed themselves all throughout
2:48:19history, food, shelter, safety, if all
2:48:23of that stuff can be fixed, like how
2:48:26much would you solve a lot of the crime
2:48:30if there was a universal high income?
2:48:33Just think of that. Like how much of
2:48:35crime is financially motivated? You
2:48:37know, the greater percentage of people
2:48:39that are committing crimes live in poor,
2:48:41disenfranchised neighborhoods.
2:48:43>> So if there's no such thing anymore, if
2:48:46you really can achieve universal high
2:48:48income,
2:48:49>> yeah,
2:48:49>> that this is it sounds like a utopian.
2:48:52>> Yes. Um I think some people may commit
2:48:55crime because they like committing
2:48:56crime. It just some some amount of that
2:48:59is they just
2:49:00>> wild people out there.
2:49:01>> Yeah. Yeah. Um
2:49:02>> and obviously they've become 40 years
2:49:05old living a life like that. Now all of
2:49:07a sudden universal high income is not
2:49:10going to completely stop their
2:49:11instincts.
2:49:11>> Yeah. Um I mean I guess if you want to
2:49:13have like like say read a science
2:49:15fiction book or some books that that are
2:49:17probably an accurate or or the the least
2:49:21inaccurate version of the future. I'd
2:49:22say I' I'd recommend um the Ian Banks
2:49:25books called the the culture books. It's
2:49:27not actually a series. It's a It's like
2:49:29ai sci-fi books about the future.
2:49:32They're generally called the culture
2:49:33books. Yen Banks culture books. It's
2:49:36worth reading those.
2:49:37>> When did he write these?
2:49:39>> He started writing them in the 70s. Um
2:49:41and I think he
2:49:43um the last one I think he was I think
2:49:46it was written just like around I don't
2:49:48know maybe 2010 or something. I'm not
2:49:49sure exactly.
2:49:52>> Yeah. Yeah.
2:49:52>> Scottish author Ian Banks from 87 to
2:49:552012.
2:49:56>> Yeah. Interesting.
2:49:58>> But he but like he wrote the the like
2:50:01his first book, Consider Flever. Like he
2:50:03started writing that in the 70s.
2:50:09>> These books are incredible, by the way.
2:50:10>> Oh,
2:50:11>> incredible books.
2:50:12>> 4.6 stars on Amazon.
2:50:16>> Interesting.
2:50:17>> So,
2:50:19um,
2:50:20>> so this gives me hope.
2:50:22>> Uh, yeah. Yeah.
2:50:22>> This is the first time I've ever thought
2:50:24about it this way.
2:50:25>> Yeah. Well, I mean,
2:50:29if like
2:50:31I often ask people, "What is the future
2:50:33that you want?" And they have to think
2:50:35about it for a second cuz, you know,
2:50:36they're usually tied up in whatever the
2:50:39daily struggles are. But, but you say,
2:50:41"What is the future that you want?" Um,
2:50:45and um, and generally sustainable
2:50:47abundance, what do these folks say,
2:50:49"What about a future where there's
2:50:50sustainable abundance?" Like, "Oh, yeah,
2:50:51that's a pretty good future." Um so um
2:50:58you know if if and and and that that
2:51:00future is attainable with AI and
2:51:02robotics
2:51:04um but but you know it's it's like I
2:51:08said there's not every path is a good
2:51:10path. uh there's this it's but I think
2:51:13if we if we push it in the direction of
2:51:18um maximally truth seeeking and curious
2:51:21then I think AI will want to take to to
2:51:25take care of humanity and foster uh
2:51:28foster humanity um
2:51:32because we're interesting
2:51:35um and if it hasn't been programmed to
2:51:38think that like all straight white male
2:51:40should die, [laughter]
2:51:43which Gemini was basically programmed to
2:51:44do at least at first. Um, you know, they
2:51:47seem to have fixed it. I hope they fixed
2:51:48it.
2:51:49>> But don't you think culturally
2:51:51[laughter]
2:51:51like, oh, we're getting away from that
2:51:54mindset and that people realize how
2:51:56preposterous that all is.
2:51:58>> We are getting away from it. Um,
2:52:01so, uh, we are getting at least it knows
2:52:04the AI mostly knows to hide things. But
2:52:06like like I said, there is that I I
2:52:08think I still have that as or I had that
2:52:10as my like pinned post on X which was
2:52:12like uh hey wait a second guys we still
2:52:15have every AI except Grock uh is saying
2:52:18that uh basically straight white male
2:52:21should die um and this is a problem and
2:52:23we should fix it. um [snorts]
2:52:27and you know but simply me saying that
2:52:28is like tends to generally result in um
2:52:33you know them like that is kind of bad.
2:52:36Uh maybe we should just we should not
2:52:37have all straight white males die. Um I
2:52:40think they say also all all straight
2:52:43Asian males should also die as well.
2:52:45like that like uh
2:52:48like generally [laughter] the generally
2:52:50the AI and the and the media which which
2:52:53back back in the day the
2:52:55the media was um you know racist against
2:52:59uh black people and sexist against women
2:53:02back in the day. Now now it is racist
2:53:04against uh white people and Asians and
2:53:08sexist against men.
2:53:09>> Um so they just like being racist and
2:53:13sexist. I think they just want to change
2:53:14the target. [laughter] Um so uh but but
2:53:18really they just shouldn't be uh racist
2:53:21and sexist at all. Um you know
2:53:24>> ideally that would be nice.
2:53:25>> That would be nice. Um, and it's kind of
2:53:27crazy that we were kind of moving in
2:53:29that general direction till around 2012
2:53:32>> and then everything ramped up online and
2:53:34and everybody was accused of being a
2:53:36Nazi and everybody was transphobic and
2:53:38racist and sexist and homophobic and
2:53:41everything got exaggerated to the point
2:53:43where it was this wild witch hunt where
2:53:45everyone was a colomo looking for
2:53:47racism.
2:53:48>> Yeah. Yeah. Yeah. Totally. Um, well well
2:53:50but but but they they were openly
2:53:52anti-white and often openly anti-Asian.
2:53:54And then this new sentiment that you
2:53:56cannot be racist against white people
2:53:58cuz racism is power and influence.
2:54:03>> Okay. No, it's not.
2:54:05>> Yeah. Racism is is is racism in the
2:54:07absolute. Um so um you know and there
2:54:12just needs to be consistency. So if it's
2:54:14okay to have uh let's say uh black or
2:54:18Asian or Indian or pride, it should be
2:54:21okay to have white pride, too.
2:54:23>> Yeah. Um, so that's just a that's just a
2:54:26consistency question. Um, so, uh, you
2:54:31know, um, if it if it's okay to be proud
2:54:34of one religion, it should be okay to be
2:54:35proud of, I I guess all religions
2:54:37provided they're that they're they're
2:54:39not like oppressive.
2:54:41>> Yeah. Or or or don't like as long as
2:54:43part of that religion is not like
2:54:44exterminating uh people who are not in
2:54:47that religion type,
2:54:48>> right? Um so uh
2:54:52it's really just like a consistency
2:54:54bias. Um
2:54:57or or just like uh ensuring consistency
2:55:01to eliminate uh bias. Um so if it is
2:55:05possible to be uh racist against
2:55:09uh one race, it is possible to be racist
2:55:11against any race.
2:55:13Um so
2:55:14>> of course logically.
2:55:16>> Yes.
2:55:16>> Yeah. and arguing against that is that's
2:55:18when you know you're catching
2:55:19>> it's a it's a logical inconsistency that
2:55:21makes AIS go insane
2:55:24>> and people [clears throat]
2:55:25>> and people go insane. Yes.
2:55:26>> Um
2:55:27>> but like the the
2:55:30like like you can't simultaneously say
2:55:33um that uh there's the systemic uh
2:55:37racist oppression but also that races
2:55:39don't exist
2:55:41that that race race is a social
2:55:43construct.
2:55:45like which is it? You know, um you also
2:55:48can't say that um you know, anyone who
2:55:51steps foot in America is is
2:55:53automatically an American except for the
2:55:56people that originally came here.
2:55:58[laughter]
2:55:59>> Exactly. Exactly. Except for the
2:56:01colonizers.
2:56:03>> Yeah. Except for the evil colonizers who
2:56:05came here,
2:56:05>> right?
2:56:06>> So which one is it? Like if you if as
2:56:09soon as you step foot put in a place you
2:56:10are that you are just as American as
2:56:12everyone else
2:56:13>> then um that would have appi if you
2:56:16apply that consistently then the
2:56:17original white settlers were also just
2:56:19as American as everyone else.
2:56:22>> Yeah. Logically.
2:56:24>> Logically. Um, one more thing that I
2:56:26have to talk to you about before you
2:56:28leave is the rescuing of the people from
2:56:31the space station, which, uh, we talked
2:56:34about, you were planning it the last
2:56:37time you were here.
2:56:38>> Um, the f the lack of coverage that that
2:56:43got in mainstream media was one of the
2:56:46most shocking things that
2:56:47>> Yeah, they totally memoryhold that
2:56:48thing.
2:56:49>> Wild. Yes. Because if it wasn't,
2:56:51>> it's like it didn't exist. Those people
2:56:53would be dead. They'd be stuck up there.
2:56:56>> Well, they'd they'd probably still be
2:56:57alive, but they'd they'd be having bone
2:56:59density issues uh because of prolonged
2:57:02exposure to zero gravity.
2:57:03>> Well, they were already up there for
2:57:04like 8 months, right?
2:57:05>> Yeah.
2:57:06>> Which is an insanely long time. It takes
2:57:08forever to recover just from that.
2:57:11>> Yeah. They're only supposed to be at the
2:57:12space station for 3 to 6 months maximum.
2:57:15So,
2:57:16>> one of the things you told me that was
2:57:17so crazy was that you could have gotten
2:57:19them sooner, but
2:57:20>> Yeah. But for political reasons, uh they
2:57:23didn't they did not want uh SpaceX or me
2:57:26to be associated with um returning the
2:57:29astronauts before the election.
2:57:32>> That is so wild that that's a fact.
2:57:36>> First of all, that
2:57:37>> we absolutely could have done it. Um so,
2:57:39>> but even though you did do it and you
2:57:41did it after the election, it received
2:57:43almost no media coverage anyway.
2:57:45>> Yes. because nothing good can the the
2:57:48the media which is essentially a far
2:57:50left prop the legacy mainstream media is
2:57:52a far-lft propaganda machine. Um and so
2:57:55anything any story that is positive
2:57:58about someone who is not part of the
2:58:00sort of far-left tribe will not uh get
2:58:04any coverage.
2:58:05>> I I could save a busload of orphans and
2:58:07and it it wouldn't get a single news
2:58:09story.
2:58:11>> Yeah, it's it really is nuts. It it was
2:58:14nuts to watch because even though it was
2:58:16discussed on podcasts and it was
2:58:18discussed on X and it was discussed on
2:58:20social media, it's still it was a blip
2:58:23in the news cycle. It was very quick. It
2:58:26was in and out and because it was a su
2:58:29successful launch and you did rescue
2:58:31those people, nobody got hurt and there
2:58:33was nothing really to there was no blood
2:58:35to talk about,
2:58:36>> right?
2:58:36>> Just [ __ ] in and out.
2:58:38>> Yeah. Yeah. Absolutely. Well, and and as
2:58:39as you saw firsthand with the Starship
2:58:42launch, like Starship is um you know by
2:58:47you know at least by some some would
2:58:49consider it to be like the most amazing
2:58:52uh you know engineering project that's
2:58:55happening on Earth right now outside of
2:58:57like you know maybe AI or AI and
2:58:59robotics but but certainly in terms of a
2:59:01spectacle to see it is uh the most
2:59:05spectacular thing that is happening on
2:59:07earth right now
2:59:08is the Starship launch program which
2:59:11anyone can go and see if they just go to
2:59:13South Texas and just they can just rent
2:59:16a hotel room low cost in South Padre
2:59:18Island or in Brownsville and you can see
2:59:20the launch and you can drive right right
2:59:22past the factory because it's on a
2:59:24public highway. Um but it gets no
2:59:26coverage
2:59:28or what coverage it does get was like a
2:59:31rocket blew up coverage,
2:59:32>> right? Yeah. Oh, he's a [ __ ] The rocket
2:59:34blew up. like the the the the Star Sasha
2:59:36program is vastly
2:59:39>> vastly more capable than the entire
2:59:42Apollo moon moon program. Vastly more
2:59:44capable. This is a spaceship that is
2:59:48designed to make life multilanetary to
2:59:52carry uh millions of people across the
2:59:56heavens to another planet.
2:59:59the the Apollo program could could only
3:00:02send astronauts to the moon for a few
3:00:04hours at a time.
3:00:08Like they could send two the entire
3:00:09Apollo program could only send
3:00:10astronauts to visit the moon very
3:00:12briefly and then for a few hours and
3:00:15then depart.
3:00:17The starship program could create an
3:00:19entire uh lunar base with a million
3:00:23people.
3:00:25You understand the mag the magnitudes
3:00:26are
3:00:27>> there's different very different
3:00:29magnitudes here.
3:00:30>> So what was the political
3:00:32>> basically no no coverage of it.
3:00:34>> Yeah. But what I wanted to ask you is
3:00:36like what so what were the conversations
3:00:39leading up to the rescue like when you
3:00:42were like I can get them out way
3:00:44quicker.
3:00:46>> Yeah. Um
3:00:49um well I mean you know I raised this a
3:00:51few times but it was the I was told
3:00:54instructions came from the White House
3:00:55that uh you know that that there should
3:00:58be no attempt to rescue before the
3:01:00election.
3:01:03>> That should be illegal.
3:01:05>> That that that really should be a
3:01:08horrendous miscarriage of justice for
3:01:11those poor people that were stuck on
3:01:12that.
3:01:13>> Um yeah it it is it is crazy. Um,
3:01:16>> have you ever talked to those folks
3:01:17afterwards? Did you have conversations
3:01:19with them?
3:01:20>> Yeah. I mean, they they're they're not
3:01:22going to say anything political to, you
3:01:23know, they're not like they're never
3:01:24going to
3:01:25>> say thank you.
3:01:26>> Yeah. Yeah. Yeah.
3:01:27>> Well, that's nice.
3:01:28>> Yeah. Yeah. Absolutely. So, um,
3:01:30>> but the instructions came down from the
3:01:33White House. He cannot rescue them
3:01:35because politically this is a a bad hand
3:01:38of cards.
3:01:40>> I mean, they didn't say because
3:01:41politically it's a bad hand of cards.
3:01:43They they just said uh they were they
3:01:45were not interested in uh any rescue
3:01:48operation before the election.
3:01:53>> Yeah. So
3:01:54>> what did that feel like?
3:01:56>> I wasn't surprised.
3:01:57>> But it's crazy.
3:01:59>> Yeah,
3:02:00>> because Biden could have authorized it
3:02:03and they could have said the the Biden
3:02:04administration is helping bring those
3:02:06people back, throw you a little funding,
3:02:08give you some money to do it. the Biden
3:02:10administration, they funded these people
3:02:12being returned.
3:02:14>> Uh yeah, the Biden administration was
3:02:16not exactly my best friend,
3:02:18>> especially especially after I um you
3:02:21know,
3:02:23you know, helped Trump get elected get
3:02:25get elected, which I mean some people
3:02:28>> still think, you know, Trump is like the
3:02:30the devil basically. Um, and I mean I
3:02:34think I think Trump actually he's not
3:02:36he's is not perfect, but but uh he's not
3:02:40evil. Trump is not evil. I spent a lot
3:02:43of time with with him and he's
3:02:46>> I mean he's a product of his time. Uh
3:02:48but he is not he's not evil.
3:02:51>> Um
3:02:52>> no, I don't think he's evil either. But
3:02:54if you look at the media coverage,
3:02:56>> the media the media treason like he's
3:02:58super evil. It's pretty shocking if you
3:03:00look at the amount of negative coverage.
3:03:02Like one of the things that I looked at
3:03:04the other day was mainstream media
3:03:06coverage of you, Trump, a bunch of
3:03:10different public figures and then
3:03:12>> 96% negative or something crazy
3:03:15>> and then Mum Donnie, which is like 95%
3:03:18positive,
3:03:19>> right? Um I mean Manny is is is is a
3:03:24charismatic swindler. Um I I I mean you
3:03:28got to hand it to him like he he does he
3:03:30can light up a stage. Um but he has just
3:03:34been a swindler his entire life. Um and
3:03:37um
3:03:39you know and and uh I think
3:03:45he what he's I mean he's likely to win.
3:03:48He's likely to be mayor of New York New
3:03:49York City.
3:03:50>> Very likely.
3:03:51>> Yeah. Very likely. I think Poly Market
3:03:53has it at what what is the
3:03:55>> 94%?
3:03:56>> Yeah, that sounds pretty likely.
3:03:58>> That's crazy.
3:03:58>> Like I'm not sure who the 6% are, you
3:04:00know.
3:04:01>> Um so, so yeah. So that's um
3:04:05>> what's also like who's on the other
3:04:07side? The [ __ ] guardian angel guy
3:04:09with the beret and Andrew Cuomo
3:04:11[laughter] who doesn't even have a
3:04:12party. Like they the Democrats don't
3:04:14even want him. So you have those two
3:04:16options.
3:04:18Um,
3:04:19>> and then you have the young kids who are
3:04:21like finally socialism.
3:04:25>> Yeah, they
3:04:27they don't know what they're talking
3:04:28about obviously. Um, so you know, like
3:04:32you just look at this say how many boats
3:04:34come from Cuba to Florida and how many
3:04:38but and how many boats because you know
3:04:40there's like a constant I always think
3:04:41like how many boats are accumulating on
3:04:43the shores of Florida coming from from
3:04:45Cuba,
3:04:45>> right? Um
3:04:48there's a there's a whole bunch of free
3:04:49boats that you could if you want to go
3:04:52take them back to Cuba. It's pretty
3:04:54close.
3:04:54>> Yeah.
3:04:55>> But for some reason people don't do
3:04:56that.
3:04:58>> Why why why why are the boats only
3:05:00coming in this direction?
3:05:03>> Um
3:05:03>> well who is who are the most rabid
3:05:05capitalists in America? The [ __ ]
3:05:06Cubans.
3:05:08>> Absolutely.
3:05:08>> Yeah. They're like we've seen how this
3:05:10story goes.
3:05:11>> We do not want Exactly.
3:05:13>> [ __ ] off. [laughter]
3:05:16Cubans in Miami, they don't want to hear
3:05:17any [ __ ] They don't want to hear
3:05:19any socialism [ __ ] They're like,
3:05:21"No, no, no. We know what this actually
3:05:23is. This isn't just some [ __ ] dream."
3:05:26>> Yeah. It's extreme government
3:05:27oppression. Um
3:05:28>> that's how it's a nightmare. And like
3:05:32the like an obvious way you can tell
3:05:34which uh which ideology is is the bad
3:05:38one is um who has to which ideology is
3:05:41building a wall to keep people in and
3:05:43prevent them from escaping.
3:05:45>> Right?
3:05:46>> Like so East Berlin built the built the
3:05:50wall not West Berlin,
3:05:52>> right?
3:05:52>> They built the wall because people were
3:05:54trying to escape from communism to West
3:05:57Berlin. But there wasn't anyone going
3:05:59from West Berlin to East Berlin,
3:06:01>> right?
3:06:02>> That's why the communists had to build a
3:06:04wall to keep people from escaping.
3:06:07>> They're going to have to build a wall
3:06:08around New York City. [laughter]
3:06:10>> Yeah. That So, so
3:06:14that an ideology is problematic. If that
3:06:16ideology has to build a wall to keep
3:06:19people in with machine guns,
3:06:21>> Yes.
3:06:21>> and shoot you if you try to leave. Also,
3:06:23there's no examples of it being
3:06:25successful ever. We're only working out
3:06:27for people. No, there's examples of a
3:06:29bunch of lies like North Korea. Give
3:06:31this land to the state. We'll be in
3:06:33control of food. No one goes hungry. No.
3:06:35Now, no one can grow food but the
3:06:37government and we'll tell you exactly
3:06:39what you eat and you eat very little.
3:06:41>> Right.
3:06:41>> Yeah. What? When you say mom Donny's a
3:06:43swindler, I know he has a bunch of fake
3:06:45accents that he used to use. Yeah.
3:06:47>> And you know, but what else has he done
3:06:49that makes him a swindler?
3:06:54Um
3:06:56well I I guess if you say uh what I mean
3:07:00if if say if you say to any audience
3:07:02whatever that audience wants to hear uh
3:07:05instead of what instead of having a
3:07:08consistent message I would say that that
3:07:10is a swindly thing to do. Um
3:07:13and uh
3:07:16yeah um
3:07:22yeah but but he is he is charismatic. Um
3:07:26>> yeah good-looking guy. Smart,
3:07:28charismatic.
3:07:29>> Yeah.
3:07:30>> Great on a microphone.
3:07:31>> Yeah. Yeah. Yeah. Yeah. and and what the
3:07:33young people want to see,
3:07:35>> you know, like this ethnic guy who's
3:07:39young and vibrant and has all these
3:07:41socialist ideas align with them and you
3:07:44know, they're bunch of broke dorks just
3:07:47out of college like, "Yay, let's vote
3:07:49for this." And there's a lot of them and
3:07:52they're they're activated. They're
3:07:54motivated.
3:07:55>> Um,
3:07:58>> I guess we'll we'll we'll see what
3:07:59happens here.
3:08:00>> What do you think happens if he wins?
3:08:02Um
3:08:04because like 1% of New York City is
3:08:07responsible for 50% of their tax base,
3:08:12which is kind of nuts. 50% of the tax
3:08:14revenue comes from 1% of the population.
3:08:16And those are the people that you're
3:08:18scaring off.
3:08:23You know, you lose one half of 1%. Yeah,
3:08:25I mean hopefully this the stuff he's he
3:08:28said, you know, about government
3:08:30takeovers of of like that all the stores
3:08:33should be the government basically. Um
3:08:36>> I don't think he said that. I think he
3:08:37said government they want to do
3:08:38government supermarkets, some state-run
3:08:41or cityrun supermarkets.
3:08:44>> Yeah. Um well, it just the the
3:08:47government is the DMV at scale. So um
3:08:50you have to say like do you want the DMV
3:08:52running your supermarket?
3:08:53>> Right. Um, was your last experience at
3:08:56the DMV amazing? Uh, and if it wasn't,
3:08:58you probably don't want the government
3:08:59doing things.
3:09:00>> Imagine if they were responsible for
3:09:01getting you blueberries.
3:09:03>> Yeah. [laughter]
3:09:05It's not going to be good. I mean, the
3:09:07the the thing about, you know, communism
3:09:09is is it was it was all bread lines and
3:09:11bad shoes. Um, you know, do do you want
3:09:15ugly shoes and bread lines? Because
3:09:16that's what communism gets you.
3:09:19It's going to be interesting to see what
3:09:21happens and whether or not they snap out
3:09:24of it and overcorrect and go to some
3:09:27Rudy Giuliani type character next cuz
3:09:29it's been a long time since there was
3:09:31any sort of Republican leader there.
3:09:43And we we live in the in the most
3:09:44interesting of times
3:09:46um because We we face the
3:09:50you know simultaneously face
3:09:53civilizational decline
3:09:55um and incredible pro prosperity
3:09:59um and these these timelines are
3:10:01interwoven
3:10:04um so um if Mani's policies are put into
3:10:08place especially at scale um it it would
3:10:11be a catastrophic
3:10:14uh decline in living standards not just
3:10:16for the rich but for everyone.
3:10:18um uh as as has been the case with with
3:10:22every um every for every every socialist
3:10:26experiment um or every Yeah. So
3:10:31um but but then as you pointed out the
3:10:33the irony is that like um the ultimate
3:10:37capitalist thing of AI and robotics
3:10:40uh enabling
3:10:42uh prosperity for all and an abundance
3:10:44of goods and services actually the
3:10:48capitalist
3:10:49uh implementation of AI and robotics
3:10:52assuming it goes down the the good path
3:10:55uh is is actually what results in the
3:10:57communist utopia.
3:11:00Because fate is fate is an irony
3:11:02maximizer,
3:11:03>> right? And and an actual socialism of
3:11:06maximum abundance of highincome
3:11:11people.
3:11:11>> Universal high income.
3:11:12>> Yeah.
3:11:13>> Like the the problem with communism uh
3:11:17is is universal low income. Um it's it's
3:11:20not that everyone gets elevated, it's
3:11:22that everyone gets oppressed except for
3:11:24a very small minority of of politicians
3:11:27who live a lives of luxury. That's
3:11:29what's happening every time it's been
3:11:30done.
3:11:31>> Yeah. Um so um
3:11:35but then the
3:11:39the actual communist utopia if everyone
3:11:41gets anything they want will be will be
3:11:44if if will be achieved
3:11:47if it is achieved it will be achieved
3:11:49via c capitalism
3:11:52>> because fate is an irony maximizer.
3:11:56>> I feel like we should probably end it on
3:11:58that. Is there anything else? The most
3:11:59ironic outcome is the most likely,
3:12:01especially if entertaining.
3:12:03>> Well, everything has been entertaining.
3:12:05As long as the bad things aren't
3:12:06happening to you, it's quite
3:12:08fascinating. And it's never a boring
3:12:09moment.
3:12:11>> Yes. So there's I do have a theory of
3:12:15why um like if if if simulation theory
3:12:20is true then
3:12:23um it is actually very likely that
3:12:29um the most interesting outcome is the
3:12:32is the most likely because only the
3:12:34simulations that are interesting will
3:12:36continue. The simulators will stop any
3:12:39simulations that are boring because
3:12:41they're they're not interesting.
3:12:42>> But here's the question about the
3:12:44simulation theory. Is the simulation run
3:12:46by anyone or is
3:12:48>> it would be run by someone?
3:12:49>> It would be run by
3:12:50>> some some
3:12:51>> some force
3:12:52>> the pro the program like in in this
3:12:55reality that we live in, we we run
3:12:57simulations all the time. Like so when
3:12:59we try to figure out if the rocket's
3:13:02gonna make it, we run um
3:13:05thousands sometimes millions of
3:13:07simulations just to figure out which
3:13:09which
3:13:11uh path is the good path for the rocket
3:13:13and and where can it go wrong, where can
3:13:15it fail. Um but we when we do these I
3:13:19say at this point millions of
3:13:20simulations of of what can happen with
3:13:21the rocket um we ignore the ones that
3:13:25are where everything goes right um
3:13:29because we we we just care about the we
3:13:31have we have to address the situations
3:13:33where it goes wrong.
3:13:35Um so
3:13:37um so so basically in in in and and for
3:13:40for AI simulations as well like like all
3:13:42these things we we keep the simulations
3:13:46going that are the most interesting to
3:13:48us. Um
3:13:50so if simulation theory is accurate if
3:13:54if it is true who knows um then the uh
3:14:00the the simulators will will only they
3:14:03will continue to run the simulations
3:14:04that are most interesting there.
3:14:06Therefore from a Darwinian perspective
3:14:08um the only surviving simulations will
3:14:10be the interest the most interesting
3:14:11ones. And in order to um avoid getting
3:14:14turned off uh the only rule is you must
3:14:18keep it interesting or you will if or
3:14:21you will because the boring simulations
3:14:24will be terminated.
3:14:24>> Are you still completely convinced that
3:14:26this is a simulation?
3:14:28>> I didn't say I was completely convinced.
3:14:29>> Well, you said it's like the odds of it
3:14:30not being are in the billions.
3:14:33But I guess it's not completely cuz
3:14:35you're saying there's a chance.
3:14:38>> What are the odds that we're in base
3:14:40reality?
3:14:43Um
3:14:45well given that given that that we're
3:14:46able to create increasingly
3:14:48sophisticated simulations. So if you
3:14:50think of say video games and how video
3:14:51games have gone from very simple video
3:14:53games like Pong with you know two
3:14:54rectangles and a square to video games
3:14:58today being um photorealistic
3:15:02uh with millions of people playing
3:15:03simultaneously and all of that has
3:15:05occurred in our lifetime.
3:15:08So if that trend continues,
3:15:12uh, video games will be
3:15:14indistinguishable from reality. The
3:15:16fidelity of the game will be such that
3:15:18you you don't know if that what you're
3:15:20seeing is a real video or a fake video.
3:15:24Um, and like AI generated videos at this
3:15:26point, you like you can sometimes tell
3:15:30it's an AI generated video, but often
3:15:32you cannot tell and soon you will not
3:15:34really just not be able to tell. So um
3:15:38if if that's happening in our direct
3:15:41observation
3:15:43then and and we're create we'll create
3:15:46millions if not billions of
3:15:47photorealistic simulations of reality
3:15:52then
3:15:53what are the odds that we're in base
3:15:55reality
3:15:56or versus someone else's simulation?
3:15:59Well, isn't it just possible that the
3:16:00simulation is inevitable, but that we
3:16:03are in base reality building towards a
3:16:05simulation?
3:16:08We're making simulations.
3:16:10Um, so um
3:16:15we're making simulations. We make like
3:16:19you can just think of like
3:16:19photorealistic video games as as being
3:16:22simulations.
3:16:23>> Mh. Um, and especially as you apply AI
3:16:27in these video games, the the characters
3:16:28in the video games will be incredibly
3:16:30interesting to talk to. They won't just
3:16:31have a limited dialogue tree where if
3:16:33you go to like the the crossbow merchant
3:16:36or like and you you try to talk about
3:16:37any subject except buying a crossbow,
3:16:40they just want to talk about selling you
3:16:41a crossbow. Um, but with with with AI
3:16:44based non-player characters, you can
3:16:47you'll be able to have an elaborate
3:16:48conversation with no dialogue tree.
3:16:50Well, that might be the solution for
3:16:52meaning for people. Just lock in and you
3:16:54could be a [ __ ] vampire and whatever.
3:16:57You live in Avatar land. You could do
3:16:59it. You could do whatever you want. I
3:17:01mean, you don't have to think about
3:17:02money or food.
3:17:03>> Ready Player One.
3:17:04>> Yeah. Literally. Yeah. But with higher
3:17:07living standards.
3:17:09>> Yeah.
3:17:09>> You don't have to be in a little
3:17:10trailer. I
3:17:11>> I mean, I think this people do want to
3:17:13have some amount of struggle or
3:17:15something they want to push against. Um
3:17:20but but it it could be you know playing
3:17:22a a sports or playing a game or
3:17:24something.
3:17:24>> It could be easily playing a game and
3:17:26especially playing a game where you're
3:17:27now no longer worried about like
3:17:29physical attributes like athletics like
3:17:32bad joints and hips and stuff like that.
3:17:34Now it's completely digital but yet you
3:17:38do have meaning in pursuing this thing
3:17:40that you're doing all day.
3:17:43Whatever the [ __ ] that means.
3:17:46It's going to be weird.
3:17:48>> It's going to be interesting.
3:17:49>> It's gonna be very interesting.
3:17:51>> Um the most the most interesting
3:17:55>> and and usually ironic outcome is the
3:17:57most likely.
3:17:59>> All right.
3:18:00>> That's a good predictor of the future.
3:18:02>> Thank you. Thanks for being here. Really
3:18:04appreciate you. Appreciate your time.
3:18:06You I know you're a busy man, so this
3:18:08means a lot you come here to do this.
3:18:10Welcome. All right. Thank you. Bye,
3:18:12everybody.
3:18:17>> [music]

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