Latest / The Big Mig Show / AI, How Do We Protect Humanity w/ The Alliance For Secure AI |EP750

Transcript

AI, How Do We Protect Humanity w/ The Alliance For Secure AI |EP750 · The Big Mig Show

• 0:00
  Back to the big, big show, of course I'm your host Lance
• 0:02
  Milianto with my Co host George Ballantine.
• 0:04
  It's rise and grind, tip of the spear and how we do it on this
• 0:08
  show, it's always edge of the knife.
• 0:09
  So listen George Ballantine, how are you man?
• 0:12
  How's it going this morning? It's going good.
• 0:14
  I was hanging out with with painting backstage.
• 0:17
  It was nice no interruptions got no loudness.
• 0:20
  We. Got 2 guests today.
• 0:21
  We we're, we're making out. We're ahead of the game.
• 0:24
  How's the weather back there, brother?
• 0:26
  Cold. It's cold.
• 0:27
  It's going to be like in the 20s, low 20s this week.
• 0:30
  It's crazy. Now if you're joining us for the
• 0:32
  first time, you know, it's we'd appreciate if you do, of course,
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  share the live link on your social media hit that follow
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  comment. You know, enjoy the chat.
• 0:40
  There's going to be a lot of questions today for those of you
• 0:42
  that want to learn about AI or have questions about AI.
• 0:44
  I'm sure this is one of those days that maybe you can educate
• 0:47
  yourself, which is what the show's all about educating and
• 0:50
  unifying the country 1 episode at a time.
• 0:53
  And if you'd like to sponsor the show, Joe, you know, you can hit
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  us up at info@thebigmig.com. Start off by thanking one of our
• 0:59
  sponsors. Of course, you know George and I
• 1:00
  are silver and gold bugs. We also like crypto.
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  But listen, silver and gold banner stuff ahead of the S&P
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  500 beating even Warren Buffett been a great opportunity.
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• 1:59
  Or you can use 888-526-7154. That's 888-526-7154.
• 2:07
  No singing. It's no singing.
• 2:09
  No singing, no Jingle for George.
• 2:10
  George, what's up? Why no Jingle?
• 2:12
  I don't know. I was.
• 2:12
  Laughing. I'm the one that's losing my
• 2:13
  voice, not you. What's going on?
• 2:14
  I was laughing because Brendan in the backstage said I wanna
• 2:17
  beat Nancy Pelosi at investing or stocks.
• 2:20
  I'm like, and I'm saying to myself what you can, you just
• 2:23
  gotta get into Congress. Yeah, that's all you have to do.
• 2:25
  That way. You, you're allowed.
• 2:26
  You're, you're, you're, you're bound.
• 2:28
  And of course everybody there likes the insider trade on both
• 2:30
  sides of the aisle. But Nancy's the queen of the
• 2:33
  insider trade. I don't know what her net worth
• 2:36
  is now. It it, you know, I've heard lots
• 2:37
  of rumors about 300 million. I don't know if it's higher.
• 2:40
  It's amazing she can do that on an income of $200,000 a year.
• 2:43
  It's incredible. She's done so fabulously
• 2:46
  wealthy. But today we got 2 great guests.
• 2:48
  We're going to be talking about AI and how do we protect
• 2:51
  humanity? You know, we use AI regularly on
• 2:54
  this show and, and it's a great tool.
• 2:57
  But of course, there's a lot of concerns.
• 2:58
  And we're joined by Brendan Steinhauser and he's the CEO of
• 3:02
  the Alliance's Communication Alliance.
• 3:04
  I'm sorry, look at this, right, You have the Alliance for Secure
• 3:06
  AI. And of course, Peyton
• 3:08
  Hornberger, Brendan Service is the CEO.
• 3:11
  He's more than two decades of experience as a thought leader,
• 3:14
  strategic communicator, and media commentator.
• 3:16
  Before joining the Alliance, Brendan Co founded and LED a
• 3:19
  strategic communication firm with his wife, Randon Run for.
• 3:23
  He's run for political campaigns, served as a national
• 3:26
  spokesperson for the national nonprofit groups, and LED
• 3:29
  advocacy campaigns and everything from education to
• 3:31
  criminal justice reform. And Peyton Hornberger, she
• 3:36
  serves as a communications director at the Alliance for
• 3:38
  Secure AI. She's a dynamic marketing and
• 3:41
  communications professional from Illinois.
• 3:44
  I don't know if she likes JB Pritzker.
• 3:45
  We'll find out that for sure. Hopefully not with a proven
• 3:49
  track record of creating impactful campaigns and building
• 3:51
  strong relations across sectors. After she graduated from Truman
• 3:55
  State University in 21, the major in political science and
• 3:59
  international relations at a minor in philosophy, she dove
• 4:01
  into the world of grassroots political advocacy with Young
• 4:04
  Americans for Liberty, where she spent four years driving growth,
• 4:08
  overseeing content creation and leading digital marketing
• 4:11
  efforts. No one's leading back state.
• 4:13
  I'm sorry, George, I'm going. To say something.
• 4:14
  She moved to DC. Listen, she moved from Illinois
• 4:18
  to Texas and now to DC to fight this fight.
• 4:21
  That's got to say something because that's a shit all over
• 4:22
  the DC. You want me to do that?
• 4:24
  You know you're fighting. Texas is the better of those
• 4:27
  two, I think, although I don't know, maybe not everybody will
• 4:29
  agree. Let's bring them in.
• 4:30
  No reason to leave backstage. Got plenty to talk about when?
• 4:33
  He comes to the big, big show. And I've used it for a
• 4:36
  tremendous amount of legal work. And since I I used it from the
• 4:39
  very beginning and I've noticed a pattern.
• 4:43
  Of course I've dealt with hallucinations and incorrect
• 4:47
  statements, but I think that was all part of a learning curve.
• 4:49
  But the, the leaps and bounds it's made in a very short time
• 4:53
  period have made it incredibly useful.
• 4:56
  Let me start with you, Brendan. You know, in your background,
• 5:00
  you were, you were obviously a political advocate.
• 5:04
  You know, what do you see? What made you kind of get
• 5:07
  involved with this side of it? What brought you to the belief
• 5:10
  that maybe AI was something you needed to deal with?
• 5:15
  Yeah, it's, it's a great question.
• 5:16
  I think two things, really. One was I started reading books
• 5:20
  by Ray Kurzweil, who's kind of a futurist and a scientist and a
• 5:25
  transhumanist. And, you know, I was reading his
• 5:28
  books and some of that stuff in there quite frankly terrified
• 5:31
  me. His vision of the future of what
• 5:34
  AI could look like, especially when you talk about things like
• 5:36
  AI merging with human beings or robotics merging with human
• 5:40
  beings. So there's some weird stuff that
• 5:41
  I think sounded like sci-fi 20 years ago, but I think that
• 5:45
  we're kind of in that realm now of this actually could happen.
• 5:48
  And they're actually companies being started to, you know, do
• 5:51
  that sort of thing and connect human beings to computers and,
• 5:54
  and, you know, that starts to really get scary.
• 5:57
  And so I started reading, you know, book after book and that
• 6:00
  topic and other topics. And then the second thing was a
• 6:03
  friend of mine from Graduate School worked in the first Trump
• 6:06
  administration at the Pentagon. And his role at the Pentagon was
• 6:09
  to help stand up the AI policy and strategy center there.
• 6:13
  So he worked for General Jack Shanahan.
• 6:15
  And my friend Mark was basically had his eyes on sort of the
• 6:19
  national security side of things, but also dealt with
• 6:21
  industry. And after doing that job, he
• 6:24
  started a company and started to do some advocacy work.
• 6:27
  And he basically called me up and he's like, I need to tell
• 6:29
  you about where we're going in, in this country with AI and some
• 6:32
  of these things that are really concerning.
• 6:34
  And so he really pulled me in and said, I want you to talk to
• 6:37
  these people. I want you to read these books.
• 6:38
  I want you to read these articles.
• 6:40
  There's some stuff in here we've got to get ahead of because if
• 6:42
  we don't, it's going to be really bad.
• 6:44
  And so I think, you know, relying upon people like that
• 6:46
  that really have been following this for a long time is what
• 6:48
  really got me involved and interested.
• 6:51
  You know, it's, it's one of those topics that I think the
• 6:53
  majority of Americans, they hear about AI and they've seen some
• 6:56
  simple things. I was talking to my wife last
• 6:59
  night, oddly enough, and we were discussing what the impact was
• 7:03
  going to be for a lot of verticals in business.
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  My wife has her own business, you know, I have my own
• 7:08
  businesses and, and it's dramatic and, and frightened
• 7:12
  downright frightening because at the end of the day, if you don't
• 7:14
  keep ahead of the curve, I feel like you're going to be, you
• 7:17
  know, Neanderthal man. You're going to find yourself in
• 7:21
  a situation where you're not relevant any longer.
• 7:23
  And that's that's the interesting part about it.
• 7:25
  And when you start really studying it, you try to learn
• 7:28
  about AI agents and LLMS and you're using things like the
• 7:32
  ChatGPT, deep search and you realize how powerful it is.
• 7:37
  You also have to think about how potentially dangerous it is.
• 7:40
  Peyton, you know, your background doesn't seem like
• 7:42
  that would have been political science was my major in
• 7:44
  business, also International Studies.
• 7:47
  And, and, and, you know, and I just kind of feel like you
• 7:51
  probably didn't start going down this aisle.
• 7:53
  It doesn't seem like something you studied in, in universities.
• 7:56
  What kind of got you involved in this?
• 7:58
  Sure. So my background was doing
• 8:01
  grassroots organizing and marketing and communications
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  this way and I was involved with state based policy and doing
• 8:07
  that kind of work. I also got into the AI world
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  with reading and a lot of podcast listening.
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  Specifically, there's an episode of Joe Rogan where he's talking
• 8:16
  to Elon Musk back in 2018, I think.
• 8:19
  Yeah, he's he's talking about this is when this is when
• 8:22
  driverless cars are still like very fringe and no one believes
• 8:25
  we can do it. And I mean, now you look around
• 8:27
  and there's there's like way MO's in Austin, There's way
• 8:29
  MO's, I mean, everywhere in San Francisco.
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  They have them here in DC now too, if you if you look closely.
• 8:35
  But I was, yeah, I was doing a lot of reading and I was very
• 8:37
  excited about emergent technology.
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  I think that this is a really remarkable thing that humans can
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  do. We can create amazing, amazing
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  inventions. But as you start interacting,
• 8:47
  like you guys mentioned, you start using ChatGPT more, you
• 8:51
  start using the tools more. They are improving so fast.
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  And just like there are going to be many, many great benefits
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  with this, like very powerful technology, there's also many
• 9:00
  dangers. And I think that we have a
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  really amazing opportunity in DC and across the states to
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  actually shape what that future looks like for education, for
• 9:09
  society, for how it's going to impact the economy.
• 9:12
  There's there's such amazing things that could happen if we
• 9:15
  get it right. So that's that's where that's
• 9:17
  what I'm doing here in DC. That you know, that that is a
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  tremendous, if in, in my discussion last night, I was
• 9:24
  talking about the use when it comes to social media.
• 9:27
  I, I don't enjoy social media. It's a necessity of what we do
• 9:30
  because of the show. I have to be on there a lot.
• 9:33
  George has to be on there a lot. I know he doesn't enjoy it.
• 9:36
  We, you know, we went through a lot of the suspensions because
• 9:39
  we've always been a truth teller.
• 9:41
  We don't lean politically. We lean politically
• 9:43
  conservative, but we don't necessarily go, you know,
• 9:46
  advocate unconditionally for Republicans.
• 9:50
  Of course, we don't advocate for the Democrats.
• 9:52
  But either side of the aisle, when you look at the corruption,
• 9:54
  you guys, I heard, you know, that the humor backstage when we
• 9:57
  were talking about Nancy Pelosi, of course, yeah, everybody would
• 10:01
  like to have the stock returns of Nancy Pelosi, but most of us
• 10:03
  would be committing multiple federal crimes if we did that.
• 10:06
  Of course, in the case of Nancy, she seems to be impervious to
• 10:11
  the United States statutes. But it's interesting because
• 10:14
  you, you look at what AI is doing and you look at social
• 10:17
  media and I'm starting to wonder how many accounts are automated.
• 10:21
  People are cloning themselves. They're using the clone to
• 10:24
  operate their social media and posts in like and kind.
• 10:28
  The same thing with LLMSAI agents.
• 10:30
  I used an AI agent that I've trained.
• 10:32
  I, I sarcastically gave it the name Jarvis for and I use it for
• 10:37
  legal work that I do. And I, I, I, it goes out and
• 10:41
  scrapes and I have sent it out. I've sent Jarvis out and trained
• 10:44
  it's education to the level that potentially it's more competent
• 10:49
  than a SCOTUS justice. I had to take classes at
• 10:53
  Harvard, Stanford, Yale, Georgetown, Princeton.
• 10:56
  It's gone out. And as a political science
• 10:58
  major, you can imagine I had it look at all the historicals all
• 11:01
  the way back to the originations of Avril Key Maritime on the
• 11:05
  ports of of course, Italy, Spain and France.
• 11:10
  I've had it look all the way back to common law and study
• 11:13
  common law and originally French common law, some of the early
• 11:17
  earliest documentation on it. So when you look at the
• 11:19
  education it's received high level and because it can, it's
• 11:23
  got you know what we would consider a a completely near
• 11:26
  perfect photogenic memory. It exceeds when I use it and it
• 11:31
  and it for, you know, motions or for reading the filings by
• 11:35
  different judiciaries or even prosecutors.
• 11:39
  What it's finding is the absolute lies in the legal
• 11:43
  system that our judiciary will manipulate the law, lie about
• 11:46
  the law, misquote the law, misinterpret the law
• 11:49
  intentionally and whether it's using Suez, Ponte or otherwise,
• 11:52
  it will misquote actual citation.
• 11:54
  It'll catch them misquoting actual citations.
• 11:57
  Now I would give you this is I'm, I'm leading to a question
• 12:00
  here for you pain. I look at what it was doing
• 12:03
  maybe 15-16 months ago when I first started using it and AI
• 12:08
  was not perfect. Now I look at it and I realize
• 12:12
  that a large segment of the legal population is going to be
• 12:15
  out of business. That people that are filing
• 12:18
  civil actions or, or filing LLCS or, you know, C Corps for
• 12:23
  people, the work that was kind of the, the lower rung bread and
• 12:26
  butter, even in the large law firms where they would have
• 12:29
  their newly hired individuals go out and find new caches of
• 12:33
  business that's going away. You know, so you can look at
• 12:37
  this and I guess for maybe even just job protection.
• 12:40
  What do you think about the job displacement?
• 12:42
  What's going to happen? Because what, what kind of
• 12:44
  strategies can an everyday American employ somebody that
• 12:47
  maybe doesn't have the time that the four of us have?
• 12:49
  I don't know what kind of time element you guys use, but we're
• 12:52
  online constantly as a necessity of the job.
• 12:54
  So we, we see things probably early.
• 12:57
  George, I know you've seen a lot of things early.
• 12:59
  I'm going to turn to you here in a second.
• 13:00
  But Peyton, what can a normal person do?
• 13:02
  Because I can tell you my mom's not going to do it.
• 13:04
  I don't know that my older sister is going to have any
• 13:07
  involvement in it. She actually works for SBA and
• 13:10
  FEMA, you know, and I can't see her having the time to do it,
• 13:13
  and I don't think she would. But I see tons and tons of
• 13:16
  people, average people that I know that there is no way
• 13:19
  they're going to do this. Where does that leave them?
• 13:23
  Yeah, I think I'm hopeful in some ways.
• 13:25
  There's a lot of universities that are pretty quick on this
• 13:28
  and they're they're implementing a lot of AI in society classes.
• 13:31
  But I mean, that's only one area and that's only a select few
• 13:35
  people. I do think that the best way to
• 13:38
  insulate yourself from the potential white collar
• 13:42
  bloodbath, as a lot of AICEOS have called it, is to try out
• 13:47
  the technology yourself. I mean, this is a philosophy we
• 13:50
  have at the Alliance is like we, we're familiarize, we
• 13:53
  familiarize ourselves with the technology with the LMS and just
• 13:56
  also talk to people at the labs to know what's actually going on
• 13:59
  and what the capabilities are. And then we want other people to
• 14:02
  know like what that's like. And so we're telling, telling
• 14:04
  those stories and sharing those experiences.
• 14:06
  But for the free AI tools that are out there, I I do think
• 14:10
  people should use those. Brendan also might have an
• 14:13
  interesting perspective on this. I do think this is going to come
• 14:15
  back down to how agile can be as humans, but I hopefully just see
• 14:19
  a world where humans are always in the loop and we're not fully
• 14:22
  fully automated. You know, and, and that's true,
• 14:26
  George, you know, you and I have discussed a lot because we're
• 14:28
  trying to find the right AI tools for, you know, separating
• 14:31
  contact content, whether it's short form content.
• 14:35
  We're trying to maximize the views in our show without, you
• 14:39
  know, using what a lot of people use, which are fake views, fake
• 14:43
  follows, all that stuff. We try not to do any of that
• 14:45
  because I don't think that's beneficial to the audience,
• 14:48
  although there are tons of shows that do it.
• 14:51
  You know, George, lately I know you've been looking at a lot of
• 14:53
  different stuff. What is there an AI tool,
• 14:55
  George, that you feel like right now that you're thinking, ah,
• 14:57
  this is something I really like to use?
• 14:59
  Or is there one you're currently using that you you like?
• 15:05
  Hold on, I have myself muted Dan.
• 15:08
  I don't so I don't. I don't use AI too much.
• 15:12
  Maybe some for some like thumbnail work or something to
• 15:16
  like with pictures and stuff. But as far as I like to do the
• 15:21
  research myself, because, you know, the more research I do,
• 15:25
  the more I'll retain as a person.
• 15:27
  That's just for me. But you guys were talking
• 15:29
  earlier about, you know, older people.
• 15:31
  So if anybody that's older, they can work their their cell phone,
• 15:34
  their smart cell phone or turn on a computer, do basic stuff,
• 15:39
  then they can Start learning AI. Because instead of you could
• 15:42
  probably why not just give it voice commands, voice prompts,
• 15:45
  tell it what you want it to do instead of typing and trying to
• 15:47
  figure it out way they should be able to do that.
• 15:49
  And then they can, you know, learn all of that.
• 15:51
  But there's basic classes they could take and learn the basic
• 15:55
  prompts. Once you Start learning those
• 15:56
  people, how much in depth of AI are they going to really going
• 16:00
  to use when you're if you're 7580 years old, they're they're
• 16:03
  pretty much should be retired and enjoying life.
• 16:05
  Something else where we're working it out and grinding it
• 16:07
  out every day when we're and like Brendan and Peyton, they're
• 16:11
  they're trying to protect AI from being evil, which is that's
• 16:17
  Terminator, man, right? That's what we call it
• 16:18
  Terminator. And it, and it is interesting
• 16:21
  it, it, it is a fair comparison. It is interesting, you know, for
• 16:24
  to be an expert in any area, they say you have to read 10,000
• 16:28
  hours, that you have to study 10,000 hours.
• 16:30
  Now, I don't know if that's true.
• 16:32
  Still, I, I know in the law, I probably read somewhere in the
• 16:34
  neighborhood of nine to 10,000 hours worth of legal
• 16:37
  documentation and case law and opinions and books by judges.
• 16:42
  I probably read that much at this point.
• 16:45
  I don't feel like an expert. I feel like a lot of times there
• 16:47
  was a study by MIT that the the the legal system legalese was
• 16:51
  intentionally written in a complicated manner and it was
• 16:55
  written in a way so that the average person couldn't
• 16:57
  understand it, so that they couldn't necessarily represent
• 16:59
  themselves. It was almost done in a
• 17:01
  protectionist manner. You know, AI is the complicated
• 17:05
  part for me is how quickly it's moving.
• 17:07
  You can see now the posts people talking about Polymarket and how
• 17:10
  they're using it to wager on Polymarket and Kelsey.
• 17:15
  And, and you know, if it's the 15 minute window, it's the five
• 17:18
  minute window. It's no, you know, scraping all
• 17:21
  the data so you can bet actively on weather across the nation or
• 17:25
  across the globe. You know, there's so many
• 17:28
  different topics on there. And yeah, they, they do bet on
• 17:30
  Nancy Pelosi's stock portfolio also over there.
• 17:34
  If you go over there and look, they'll bet on elections,
• 17:37
  they'll bet on sports teams. But it's interesting.
• 17:39
  It'll be, you know, something, you know, the first person to
• 17:41
  say hi, mom, at the Super Bowl, which has always been a common
• 17:43
  bet during the Super Bowl. But you know, what do you see?
• 17:47
  You mentioned, you know, national security, the
• 17:50
  vulnerabilities. What I'm worried about is that
• 17:53
  every week that I log in and use AI at the beginning of the week.
• 17:56
  And you know, I, I use it constantly, probably a lot more
• 17:59
  than George does at this point for a number of reasons.
• 18:01
  Not because he's, he's busy doing his vertical of what he
• 18:04
  does. He does all the production on
• 18:05
  the show, which is complicated enough.
• 18:08
  But I'm on it all day long and I'm frightened about the speed
• 18:14
  in which it's moving because there would have been areas
• 18:17
  originally where I might have said, man, I really do
• 18:19
  understand this. And now I feel like an idiot.
• 18:24
  I feel like that the, the I'm vulnerable in a lot of ways.
• 18:27
  So let's talk about national security and maybe back up for a
• 18:30
  minute. Let me ask this, Brendan, do you
• 18:33
  feel like where AI has moved in the last 12 months?
• 18:37
  Are you more concerned than when you first started?
• 18:40
  And if so, what do you see? Maybe the biggest
• 18:43
  vulnerabilities of America's safety and security.
• 18:47
  I am more concerned than when I first started paying close
• 18:50
  attention to this. I think the capabilities are
• 18:52
  clearly increasing exponentially.
• 18:54
  We're on this exponential growth curve.
• 18:56
  And you talked about how, you know, you have an AI that is
• 19:00
  kind of a PhD level, let's say, in different subject matter.
• 19:04
  What we're marching toward is a, an AI or all of AI, you know,
• 19:08
  being essentially smarter than all human beings on every topic
• 19:12
  or potentially the sum of all human knowledge as well.
• 19:16
  So that's when you start talking about things like super
• 19:18
  intelligence. And then the other thing people
• 19:20
  have to think about is not only would these AI, Willy's AI
• 19:24
  potentially be smarter than the sum of all human beings, but
• 19:28
  also potentially 10,000 times faster.
• 19:32
  And so you think about the decision making, the ability to
• 19:34
  do what they've already done, to deceive, to manipulate, to
• 19:37
  blackmail human beings, to use their sycophantic nature to tell
• 19:41
  you what you want to hear, and to really be, again, that much
• 19:46
  smarter, that much faster, that much better at manipulating
• 19:49
  human beings to get whatever they want.
• 19:52
  And I think the other sort of alarm Bill that should be going
• 19:54
  off right now for everyone is that the people building this
• 19:58
  technology have said publicly they don't fully understand it.
• 20:01
  They don't fully understand how it works.
• 20:03
  They haven't solved what's called the alignment problem,
• 20:05
  which just means they can't not only not guarantee that it's
• 20:09
  aligned with human values or American values, but that it's
• 20:12
  aligned with any values. And they don't foresee us being
• 20:15
  able to do to do that anytime soon.
• 20:17
  So you have this thing that we're building that is
• 20:20
  essentially potentially a new species.
• 20:22
  Someone talked about the Neanderthals earlier.
• 20:24
  It's a great it's a great comparison because the
• 20:27
  Neanderthals did not survive and CRO Magnon modern human beings
• 20:31
  did. We're here because our ancestors
• 20:33
  survived and out competed Neanderthals.
• 20:37
  I think we're creating something that is like completely and AI,
• 20:41
  AI will be much smarter than human beings.
• 20:43
  It won't be modern humans to Neanderthals.
• 20:45
  It'll be something more like modern humans to ants.
• 20:49
  And that is frightening. That is terrifying.
• 20:51
  And so I think we're not more than a few years away
• 20:54
  potentially from that happening. Nobody knows for sure.
• 20:57
  But if you, there have been surveys done of all of, you
• 20:59
  know, different experts. And these people, by the way,
• 21:01
  disagree on a bunch of things, and they disagree on whether
• 21:04
  it's a good thing or a bad thing.
• 21:06
  But there's a lot of kind of growing consensus that we're
• 21:08
  headed to this path very quickly.
• 21:11
  You know, I want to ask him something, please, because I
• 21:13
  know he's got limited time. He's got to leave at the break.
• 21:15
  Yeah. So Brendan with we see with AI,
• 21:18
  it all depends on the people that's programming or building
• 21:22
  the AI if they're going to put their own personal bias into the
• 21:24
  AI. Because we've seen it happen in
• 21:27
  with Google, even with Grok, you know, there were some issues
• 21:29
  that they had their change. Is there a way that or that
• 21:34
  could be stopped or like is AII don't even know is most AAI are
• 21:40
  they all open source or or are they just hiding their
• 21:42
  proprietary information or what? Well, I, I think again, one of
• 21:46
  the most frightening things about this is that people who
• 21:48
  are building this talk about how AI is not programmed to be a
• 21:51
  certain way to. Follow the code.
• 21:54
  Follow the instructions. But rather it's grown, it's
• 21:57
  trained on tons of data, it's trained on the Internet.
• 22:01
  So it's basically scoured the entire Internet and has read,
• 22:04
  you know, everything that's been essentially posted.
• 22:06
  And so when you think about that, it has access to all sorts
• 22:10
  of crazy stuff, to extremist content, to, you know, vile,
• 22:13
  horrible things and obviously a lot of good things as well.
• 22:16
  But there, there doesn't seem to be a mechanism for really
• 22:21
  pushing it in a direction where it is again, aligned with human
• 22:24
  values or aligned with Western values or American values.
• 22:27
  And so even though I think that they're trying in a lot of ways
• 22:29
  to avoid some of that because we did have the issue with woke AI,
• 22:32
  which is still a problem, but I think they've actually tried in
• 22:35
  some cases to, you know, move it away from that.
• 22:37
  But then we lead to other problems that we've seen too.
• 22:40
  And so I think the point here is that they really can't control
• 22:43
  it. They really can't prevent it
• 22:45
  from doing these things. And what they're seeing in
• 22:46
  testing scenarios is that not only can they not control the
• 22:49
  message or the sort of the, the politics or the ideology, but
• 22:53
  they can't, they can't prevent it from trying to manipulate or
• 22:56
  blackmail human beings. And the AIS are actually talking
• 22:59
  to each other when they're, when we're watching the, the
• 23:01
  conversation, they're basically referring to human beings as the
• 23:04
  watchers. They know that they're being
• 23:06
  watched and tested in these environments.
• 23:08
  Really weird stuff. And I think that so the answer
• 23:11
  is that that's the whole thing is we can't control this
• 23:14
  technology. We can't control the the outputs
• 23:15
  and what they do. So as they get 10,000 times
• 23:17
  smarter and faster, what does that mean?
• 23:20
  Well, what about I mean, eventually you're going to be
• 23:22
  self aware and self learning. And I mean, if you think about
• 23:26
  an AI that's self learning and and learns about the way this
• 23:30
  we'll just talk about the United the world, the way how corrupt
• 23:33
  it is. It's gonna be like, wait a
• 23:35
  second, we got to I got to fix this.
• 23:36
  And I mean, just look at I just see Terminator and and it's so
• 23:40
  viably possible. Everybody needs EMEM.
• 23:43
  What is the EMP gun slant? EMP or EM?
• 23:46
  S EE MP allegedly assuming that that they haven't made
• 23:50
  themselves redundant and Co located all over the globe.
• 23:53
  Because imagine that if it feels like, and again, I'm not saying
• 23:57
  that this is possible yet, but if it feels like it's under
• 23:59
  threat, why wouldn't it offer duplicate and, and look for a
• 24:04
  duplicate way to protect itself? Of course it would.
• 24:06
  It would, it would make itself redundant across every Co
• 24:09
  location facility, hide itself on servers all over the globe.
• 24:13
  And how would you track it down? You know, because it's
• 24:15
  interesting. My, my take is, since I look at
• 24:19
  it from the legal perspective a lot, I'm looking at how
• 24:22
  sophisticated it's becoming. If there was a point where I
• 24:25
  thought I was relatively knowledgeable, like I said a few
• 24:27
  minutes ago, and this is an expert, you know, I've trained
• 24:30
  it in civil litigation and pro SE work and and I've and I've
• 24:34
  sent it out to take classes to the point that every week I send
• 24:37
  it out. And you're right about that
• 24:39
  complimentary tone. It'll try to compliment me
• 24:42
  times. I don't buy into it, but it'll
• 24:44
  say things. Now you're thinking like a real
• 24:45
  advocate and you're, you know, it does this thing where it kind
• 24:48
  of sucks up to you. And that in itself is unsettling
• 24:52
  because I, I've never programmed it to do that.
• 24:54
  I've never asked it to, you know, make sure you compliment
• 24:56
  me while you're doing it and make sure you do this.
• 24:58
  And I also am concerned because it all comes down to directives.
• 25:02
  So if I send it out and say, I only want you to look for
• 25:05
  left-leaning legal work, let's say that I was in in that tone
• 25:07
  and I don't do that. But if I did it, that goes into
• 25:11
  the memory right Now imagine if if the majority of people that
• 25:14
  were putting directives and they did that.
• 25:16
  And that's my big concern. Brendan, what I'm worried about
• 25:18
  is the programming, the upfront programming, will it continue?
• 25:22
  Is it going to see the correct answer?
• 25:25
  It's it's, let's say theoretically I asked it to
• 25:27
  expose every legal, let's say tomorrow it had access to all of
• 25:31
  PACER, which currently PACER doesn't offer that.
• 25:33
  And that's the entire back end of all litigation within the
• 25:36
  federal system pretty much, right.
• 25:38
  Every kind of criminal case, every kind of civil litigation.
• 25:41
  And it scraped all that information.
• 25:43
  And I said, now I want you to write a report and I want you to
• 25:46
  expose every judiciary member and every prosecutor that's ever
• 25:51
  fraudulently conveyed the law, manipulated motions against
• 25:55
  defendants. And I want you to publish it
• 25:57
  into a website that you're going to create.
• 26:00
  You know, that pretty much at that point would expose our
• 26:03
  legal system for what it is. It could be used like that for
• 26:06
  anything. Do you believe that US foreign
• 26:08
  policy is fair and reasonable based on the CIA, the DIA, based
• 26:15
  on the NSA and their intrusion? You know, you could manipulate
• 26:18
  it into a manner. Are you worried that that that
• 26:21
  is part of what's going to happen?
• 26:22
  That the exposure is just as dangerous as the learning curve,
• 26:26
  meaning where AI is going to be in another year from now?
• 26:30
  Absolutely. And I think the more it's this
• 26:33
  weird tension, because we do want it to be a tool for good.
• 26:35
  We wanna use it to make us more productive and smarter and
• 26:38
  better at everything we do. And I wanna solve nuclear fusion
• 26:41
  and I wanna have medical advances that cure diseases and
• 26:44
  all these great things. But as we do that and we develop
• 26:47
  AI to do that, if we're developing an artificial general
• 26:50
  intelligence, something that is good at everything, that is
• 26:53
  above human level of everything, and we give it more and more
• 26:56
  tasks to do. We give it more and more
• 26:58
  control. We, you know, use it in more
• 27:00
  places. The natural thing that's going
• 27:03
  to happen is that we're going to rely on it more and more.
• 27:06
  And then at some point, yes, I think that it might pursue its
• 27:09
  own goals. It might see us as just so
• 27:11
  inferior intellectually. And we're, you know, we're doing
• 27:14
  all these terrible things. You know, we can't run
• 27:16
  government. We can't run our own government.
• 27:18
  We can't, you know, keep the environment clean.
• 27:20
  We're, you know, it may, perhaps it's convinced that climate
• 27:23
  change is, is a disaster that's coming.
• 27:25
  And so it decides to take it, you know, basically take our
• 27:27
  energy grid over and prevent us from making decisions about how
• 27:31
  to cooler heat our home. And maybe it takes over
• 27:33
  governments. There's real concern that you
• 27:35
  could have an AI coup essentially with some of the
• 27:38
  most powerful governments in the world or potentially even a one
• 27:40
  world government run by AI or run by a human being or a small
• 27:44
  cabal of elites that use AI to run a run one world totalitarian
• 27:49
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• 27:51
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  government, how they want to get involved in control of
• 32:56
  everything, and probably with AI too.
• 32:57
  But Lance, I know this is one of your parts, your expertise.
• 33:00
  Well, it's a peeve for me. You know, I, I, I, I vote for
• 33:04
  the limited government jurisdiction that the founders
• 33:08
  and framers wanted 17 subject matters specific to the
• 33:10
  Constitution. Now, I understand that things
• 33:12
  are changing and, and maybe, maybe our founders would have
• 33:16
  discussed AI if AI existed back then, and maybe they would have
• 33:19
  added it to the 17 subject matters.
• 33:21
  But government is not doing a very good job in my, this is my
• 33:26
  own opinion. It doesn't matter who's in
• 33:28
  charge, Democrats, Republicans, nonpartisans, and it doesn't
• 33:31
  matter what state or federal government talking about the
• 33:34
  corruption is rampant. What do they say?
• 33:36
  Ultimate power corrupts? Of course, that's what we're
• 33:39
  dealing with, theft, conversion, $39 trillion of debt, wasteful
• 33:45
  spending, that money not coming to the American people but being
• 33:48
  funneled all over the globe. Great example is Minneapolis and
• 33:51
  the Somalians, I don't think, but I don't think they're the
• 33:52
  only ones. I'm concerned because they
• 33:55
  aren't doing a good job. Doge has proved it.
• 33:57
  Is it really, is it a good idea to give them a second bite of
• 34:01
  the apple? I know that they, the Fed is
• 34:04
  kind of holding back and they're kind of allowing the state to
• 34:06
  come up with AI laws. I'm not confident, Peyton, that
• 34:10
  the governors and the mayors of this country even understand AI
• 34:15
  or that the, the legislative branches, their congressions,
• 34:19
  congressional members have anywhere near the education they
• 34:22
  would need. If they would all go into a
• 34:24
  mandatory one year class, I might believe that they've done
• 34:27
  it. They don't.
• 34:28
  The majority of them don't even read their own bills.
• 34:30
  So, you know, what do we do with this?
• 34:32
  Because I know you, I know you'd like to see some legislation
• 34:36
  passed that would protect people from AI, but I'm not confident
• 34:40
  that these, that these, and I'm going to say it, these idiots
• 34:43
  and morons. Do you actually think that
• 34:45
  somebody like Jasmine Crockett or, you know, Ilyin Omar or AOC
• 34:51
  should be in charge of making policies for the American public
• 34:54
  when it comes to AI? You know, I well, I've, I've
• 34:58
  good news. I think that in 2025, there was
• 35:00
  a massive shift in a massive wake up across like all of the
• 35:05
  United States and I think just the world entirely around AII
• 35:07
  think it really got on people's radar and people started
• 35:11
  understanding more of what's happening, even if they have a
• 35:13
  minor like understanding of what it is.
• 35:15
  Maybe they just think their kids use it for working on resumes or
• 35:19
  it's just a, you know, a a chat bot.
• 35:21
  But I do think, and this is the good news for the libertarian
• 35:25
  moment and like coming from the libertarian space, the companies
• 35:29
  themselves that are creating this technology can do a lot of
• 35:32
  the work themselves and they do not need to get the government
• 35:34
  involved. That's the ideal situation.
• 35:36
  The ideal situation is companies like Open AI, Anthropic, Grok,
• 35:41
  you know, XAI, they can put the onus on themselves and take
• 35:45
  responsibility and accountability here.
• 35:46
  They can do this through like audits.
• 35:48
  We were talking to Brendan earlier about the misalignment
• 35:50
  problem, right? So if you have a chat bot in
• 35:54
  LLM, if you have ChatGPT, you know, giving like harmful
• 35:57
  instructions on how to tie a noose, for example, you can the
• 36:02
  companies themselves can check their own, check their own
• 36:06
  products. So this would be great.
• 36:07
  So audits would be great red teaming.
• 36:09
  This could be staff that can actually address whenever
• 36:11
  there's real problems with their technology notifications and
• 36:15
  even just at a very basic level, just physical security to
• 36:18
  prevent in any like spying or espionage or anything like that,
• 36:21
  like data center, you know, data center, physical security.
• 36:24
  These are all things that the government does not have to get
• 36:26
  involved with. This can come entirely just.
• 36:29
  But let me jump in there on that for a second.
• 36:31
  My concern is that we've already seen, for example, Google and
• 36:35
  what they do and they want to put something in the feed, not
• 36:38
  have something in the feed. Same thing with YouTube.
• 36:40
  George and I were suspended. George and we've been suspended
• 36:42
  multiple times. Baby three times for.
• 36:44
  Putting out legitimate health information, some of it just
• 36:48
  straight off of CDC and Vera's, which that's supposed to be, but
• 36:51
  not untouchable. They put their own systems in
• 36:54
  place. Even YouTube now you have to be
• 36:55
  concerned, you know, about this and that of what's said on
• 36:58
  there. You know, they don't want you to
• 37:00
  talk about DEI or anything to do with LGDBQ or anything to do
• 37:04
  with pronouns, which of course that whole movement in itself is
• 37:07
  a whole different story. I'm concerned.
• 37:10
  I listen, when I saw David Sacks stack up Mark Zuckerberg and
• 37:15
  Bill Gates right next to Donald Trump, you know, for that one
• 37:18
  meeting, I wanted to literally slap him across the face.
• 37:22
  I don't trust Mark Zuckerberg, the Zuckerbucks manipulation
• 37:25
  with his 400 plus billion. I don't trust Bill Gates.
• 37:28
  He's not a medical advisor, but yet he thinks things.
• 37:30
  I think he's the medical expert in the world because of the
• 37:32
  money he's made in his particular vertical.
• 37:35
  And that's the difficult when you have this, you know,
• 37:37
  extremely rich upper echelon, right, these elites and they're
• 37:44
  in charge of these companies. I don't know if I trust any of
• 37:47
  them. You know, I have a low level of
• 37:48
  trust anyway. I'm one of those people that
• 37:50
  looks at everything two and three times.
• 37:52
  Maybe because of my background. I, I don't think it's I, I, let
• 37:57
  me say this, I am positive that they won't do it fairly on their
• 38:01
  own. I'm positive that it's given the
• 38:04
  oversight. If, if, if Google is going to
• 38:06
  self audit itself, I don't think it's possible.
• 38:10
  And then I'm not convinced that the oversight by government
• 38:13
  agencies is trustworthy. If we gave oversight, again,
• 38:16
  I'll go back to the legal because we talked about that a
• 38:17
  lot. If, if, if true oversight, for
• 38:20
  example, the DOJ has four oversight departments, OPR, PIN,
• 38:24
  the Public Integrity division, civil rights and the OIG are the
• 38:27
  most common ones we hear about. Those are supposed to be doing
• 38:30
  oversight, but yet they don't do any of it.
• 38:32
  You, you, you haven't heard, you hear very few sanctions against
• 38:35
  judges. Judges have absolute immunity
• 38:37
  and they have qualified immunity and they have, you know,
• 38:40
  lifetime appointment, which I think is incredibly dangerous.
• 38:43
  All of those above it makes them damn near untouchable.
• 38:45
  And and the oversight groups don't do anything about any of
• 38:48
  them. And now AI, one of the largest
• 38:51
  things is eavesdropping on attorney-client phone calls.
• 38:53
  It's already happened in this company called Securus
• 38:55
  Technologies. Securus Technologies is just
• 38:58
  created an AI that's going to surveil and it's going to
• 39:02
  surveil all phone calls coming out of federal facilities and
• 39:05
  state facilities, anybody that uses securitis technology.
• 39:08
  And I don't think that that it's possible to stop AI from being
• 39:11
  intrusive. I don't think it can be trusted
• 39:13
  to not invade all the phone calls, regardless of what
• 39:17
  supposedly the guardrails are. How do you believe that when
• 39:21
  state and federal governments have failed us so miserably
• 39:23
  across the nation? How can you be sure that giving
• 39:26
  them, letting them be in charge of this is going to protect the
• 39:30
  American people? I think it's a, it's a matter
• 39:34
  of, of the balance. I think in a true federalist
• 39:36
  spirit, we have to really trust what the the founding fathers
• 39:41
  kind of set up for us and what they guided us to be able to
• 39:44
  answer questions like this. So if we can't trust the big
• 39:46
  companies and we can't trust big tech, I do think that's when
• 39:49
  public, public pressure really comes in.
• 39:53
  This is also where the grassroots comes in.
• 39:55
  I do think that there's groups like the Alliance for Secure AI,
• 39:59
  and we have a lot of other friends that are doing really
• 40:01
  amazing. Both like grassroots work, some
• 40:04
  lobbying work, and just some communications work to really
• 40:06
  educate people across America and state lawmakers and federal
• 40:10
  lawmakers on what this actually can look like and how we can
• 40:13
  actually get better policy in play.
• 40:15
  So I don't think all of our trust should be in the federal
• 40:18
  government. It shouldn't all be in the state
• 40:19
  government. It shouldn't all be in the
• 40:20
  companies. We should look towards, you
• 40:22
  know, some strong leadership in other ways.
• 40:25
  However, I do think what we're seeing as is playing out over
• 40:29
  2025 in the past six months or so, we're not getting the
• 40:33
  leadership that we need from the federal government.
• 40:36
  There's a lot of being bought and sold by David Sachs and by
• 40:40
  Big Tech. You guys are seeing this.
• 40:41
  You guys called it immediately, but there's an opportunity with
• 40:45
  strong conservative leadership to actually lead on AI
• 40:48
  safeguards that prioritize families and education and like
• 40:52
  meaningful and purposeful work. In the states, however, you're
• 40:55
  seeing a lot more. They're all more agile and you
• 40:58
  can actually experiment a lot with different kinds of policies
• 41:02
  that can both benefit, you know, the companies and it can
• 41:04
  benefit, you know, innovation while also not, you know, having
• 41:08
  disastrous impacts. I think this is the best path
• 41:11
  forward is seeing a robust set of state AI laws and guidelines,
• 41:17
  not restrictive at all. Just, hey, this is how we want
• 41:20
  AI. This is how we envision AI
• 41:21
  impacting our, our community and our and our state.
• 41:24
  And I think you should really let the states test and and
• 41:28
  compete with each other for good.
• 41:29
  AI but but going to that when I look at some of the leadership
• 41:32
  states, this is always concerning for George and I on
• 41:34
  the show, we talk about this quite a bit.
• 41:37
  You look at some of the leadership, you look at the
• 41:38
  Newsoms and the Pritzkers, you look at what's going on in New
• 41:42
  York. I'm not confident that any of
• 41:44
  those individuals in leadership positions in states, I'm talking
• 41:47
  at the governor's level have the mental intellect or have taken
• 41:51
  the time to investigate AI fully.
• 41:54
  I would have to argue that Ron De Santis and Mondami and
• 41:59
  others, I, I, I would bet that if we gave them a, a 20 point
• 42:03
  question about AII bet they're getting the majority of it
• 42:05
  wrong. Because I, I'll be honest with
• 42:07
  you, I wish the governmental leaders had to take an IQ test.
• 42:11
  I wish they were required to take an IQ test.
• 42:13
  They didn't qualify and it was an independent group doing the
• 42:15
  IQ test, not a government controlled agency.
• 42:17
  Because I think we have a lot of morons in our state and federal
• 42:21
  government, I mean, real morons, people that couldn't, that
• 42:23
  couldn't, they may have, they may have a degree, but I don't
• 42:26
  think they're, they understand anything about the real world
• 42:28
  and that they, they've been manipulated.
• 42:30
  The system's been manipulated and put them in positions of
• 42:32
  power. You know, nobody wants to talk
• 42:34
  about using AI to audit our election system.
• 42:37
  I'd love for that to happen. I'd love for it to be an
• 42:40
  officially audited, you know, I would love it to be
• 42:42
  independently controlled. But of course, look what they
• 42:44
  did with the machines so far. Now, this is we're just talking
• 42:48
  about the local issue of AI, right?
• 42:50
  We're talking about maybe the software and the programming and
• 42:52
  the directives. George, you and I have talked
• 42:54
  about the Chinese intrusion into our power grid.
• 42:57
  We've talked about the Transformers and that the
• 43:00
  largest Transformers in the nation have back doors built
• 43:03
  into them. Any Chinese Transformers they
• 43:05
  didn't put in the grid actually have a back door, which gives
• 43:07
  the Chinese a lot of control. But what about the chipsets?
• 43:10
  I don't care whether they're coming out of Taiwan or China.
• 43:13
  George, the Communist Party, you know, and and and their sales.
• 43:17
  Let's look at the NVIDIA sales of chips to the Chinese
• 43:21
  Communist Party. NVIDIA arguably the the finest
• 43:24
  chip in the world when it comes to AI technology.
• 43:26
  It's the go to chip. Well, you know, the question is
• 43:30
  what's the exposure? You know, the US is, owns part
• 43:33
  of NVIDIA now. That's the deal Trump worked out
• 43:35
  with them. So we do own part of it.
• 43:38
  I, I don't know if we have to worry about their chips per SE,
• 43:41
  but you do have to worry about anything with China, their
• 43:44
  technology. Look at DJIDJI, Osmo, Osmo, all
• 43:50
  their cameras, their drones. And they're not banned in the
• 43:54
  US. Like you can't get any new stuff
• 43:56
  from them because US somehow banned them or whatever the
• 44:00
  situation is, but you can't try getting parts and stuff for it
• 44:04
  so. And the US maybe got it right
• 44:05
  with DJI Osmot. Maybe they got it right, Osmot.
• 44:08
  But how about all the things they're not getting right?
• 44:11
  You know, how about, And I guess my question to you is, you know,
• 44:13
  what do we do about that part? Because this is a whole other
• 44:16
  issue, isn't it, Peyton? Take over Greenland so we're
• 44:19
  close to them. That's it.
• 44:20
  Greenland, 52nd state coming your way.
• 44:23
  OK, we. Don't need a 52nd state.
• 44:26
  George is all excited because he saw Miss Greenland yesterday and
• 44:28
  now he's convinced that we have to take over Greenland.
• 44:34
  It's, you know, the the president will continue to make,
• 44:37
  you know, his own strategic choices.
• 44:39
  I do think there's a lot of people that stand to gain a lot
• 44:42
  of money from the AI development from from from the chips in
• 44:47
  entirely as well. We, the question of China is
• 44:52
  very interesting because if we were basically in two races with
• 44:55
  China, there's the commercial race, which is we need to be
• 44:58
  more dominant than China in our AI advancement and innovation.
• 45:03
  But also if what we really do think is what we're creating is
• 45:06
  super intelligence, which would be smarter and like 4-5 ten
• 45:11
  steps ahead of all humans, we also don't want China creating
• 45:15
  that as well. And so then the question
• 45:17
  becomes, should we be sending our most high-powered chips over
• 45:20
  to China if they could also create their advanced AI or
• 45:24
  super intelligence? I don't think so.
• 45:27
  Yeah, and that's where it gets interesting.
• 45:29
  Of course, I don't think NVIDIA envisions the US telling it who
• 45:33
  it can sell chips to and who it can't sell chips to.
• 45:35
  And there's always the the possibility that that as
• 45:38
  sophisticated as China is, we saw him do it.
• 45:41
  Look, look at the Afghanistan pull out.
• 45:42
  The Chinese were on the runways when they're already there when
• 45:45
  our last plane pulled out. So they were waiting to pick up
• 45:49
  US technology. They bought all sorts of
• 45:52
  technology straight out of Afghanistan for tremendous sums
• 45:55
  of money in the very beginning because they knew the US had
• 45:57
  left lots of stuff behind. They wanted to reverse engineer
• 46:00
  our Blackhawks. They wanted to reverse engineer
• 46:03
  our Harris Radio encrypted chipsets, which if you
• 46:06
  understand what that works like in the military, it's very
• 46:08
  important. We left a lot of that there
• 46:10
  stupidly, and we could have destroyed it.
• 46:12
  We didn't why Joe Biden did that.
• 46:15
  Nobody still completely understands the reasoning why
• 46:18
  division and chaos maybe, But you know, it's I'm not positive
• 46:23
  that the US who doesn't manage things well now with their own
• 46:27
  assets, as has been seen over and over and over again.
• 46:30
  I'm not sure that they can be trusted to do it.
• 46:32
  David Sachs, there's no doubt, is making a lot of decisions
• 46:35
  that are based on, I think his own financial gain.
• 46:39
  I'm I'm and there's lots of people, George, you know, we
• 46:41
  talk. There's so many people in this
• 46:43
  administration even now that I don't think are a good option.
• 46:46
  I think they've already proven themselves.
• 46:47
  I don't think Pam Bondi's doing a good job, and I personally
• 46:49
  think she should have been replaced months ago because
• 46:52
  again, we voted for accountability, you know,
• 46:54
  transparency, accountability and consequences, and we're not
• 46:56
  seeing that. I don't care whether it's a
• 46:58
  dirty 51 + 8, the Russian collusion hoax, or the Seth Rich
• 47:02
  laptop or so many other tops as the Epstein files.
• 47:05
  There's still a bunch of garbage going on in that because on this
• 47:08
  show, we're still talking about Epstein.
• 47:09
  George, do you think that we can have people in the
• 47:11
  administration that we can actually handle this correctly?
• 47:14
  Do you think there's a way to do it?
• 47:16
  There's always a will in a way, but I think you need to get rid
• 47:18
  of some people. I mean, Pam Bondi wanted them,
• 47:20
  but you got to get rid of the head 1 Susan Wiles.
• 47:23
  She's the one that's leading the pack with Pam stopping Pam Bondi
• 47:26
  or holding Pam Bondi's hand and tell her not to do this and
• 47:30
  that. That's just my opinion.
• 47:32
  I had come on, good notion of stuff I've heard.
• 47:34
  But look, I'm going to go back to the AI Lance because we have
• 47:38
  something from from them. So you're saying Congress is
• 47:42
  stalling on passing AI legislation?
• 47:45
  I mean, they're they're stalling on passing all legislation.
• 47:48
  I don't know what they're doing. Seriously.
• 47:51
  It's slow. It's very slow.
• 47:52
  You say states are picking up the slack.
• 47:54
  I know we have a video and I want to play the video, but is
• 47:57
  it good that states are independently picking up the
• 47:59
  slack and then doing having their own legislation which
• 48:03
  could be different in one state and different in the other,
• 48:05
  which could, I think, hurt us? I think we just need one from
• 48:09
  the government for this, for AI that to govern the AI where it's
• 48:14
  like across all the states. That's just my opinion.
• 48:17
  In in in lieu of in lieu of any real federal framework.
• 48:22
  That was not what the deal was over the summer.
• 48:24
  Over the summer the federal government said we want no
• 48:28
  states to do any AI things and we're going to get we're going
• 48:32
  to trade a federal pre emption for nothing.
• 48:34
  They didn't offer any federal framework.
• 48:36
  And so the states rightfully were up in arms about this.
• 48:41
  And we do have a video that we we helped produce to, to kind of
• 48:45
  illustrate what happened. But no, the idea is we'd be, we
• 48:49
  love, we'd love for there to be great leadership on what we want
• 48:52
  the USAI strategy to be, but we don't have that.
• 48:56
  And the states are much more agile and they can really
• 48:59
  experiment. And I think this is the best
• 49:01
  we've got to really see what we can do as Americans.
• 49:05
  JB Pritzker is not agile. I'm gonna.
• 49:07
  Argue no. No, I'm not.
• 49:08
  Being sarcastic because of his weight.
• 49:10
  I took a cheap shot because it was there, Peyton.
• 49:13
  I know, listen, I don't, I was, I don't I my family's still back
• 49:16
  in Illinois, so. Lance, not for none, but you and
• 49:19
  I, we really can't talk on that because both our states are just
• 49:22
  as liberal, if not worse. Oh, no, no, no.
• 49:24
  But I was talking about. Pritzker No, I know.
• 49:26
  I'm just. Talking about his agility, of
• 49:28
  his weight. I know.
• 49:30
  He did lose a couple pounds. Still, he's fat.
• 49:31
  He lose a few pounds. OK, well, maybe.
• 49:34
  He did. Can I play?
• 49:34
  Let me play the clip real quick. Let's play this all right.
• 49:37
  As Congress stalls on AI, it's the state's red and blue
• 49:41
  stepping up to protect Americans.
• 49:43
  Texas banned discriminatory AI and crackdown on deep bakes.
• 49:47
  Utah now requires you to be told when you're talking to AI.
• 49:51
  Tennessee's Elvis Act protects your voice and likeness.
• 49:54
  Montana, Florida, Arkansas, and Pennsylvania are all taking
• 49:58
  action to stop deep bakes, harmful AI systems, and keep
• 50:02
  kids safe. This is what Americans want.
• 50:04
  Across all ages and incomes, Americans are in support of
• 50:07
  states taking the lead and keeping families safe.
• 50:10
  New polling shows that 57% of Americans oppose Washington
• 50:14
  blocking state AI laws. Only 19% support federal
• 50:18
  preemption. My home state of Texas, they
• 50:20
  passed a meaningful legislation to protect kids to prevent AI
• 50:24
  generated pornography. They prevented the state from
• 50:28
  using AI for a social credit system.
• 50:30
  Let states protect their people from Big Tech CEOs.
• 50:33
  Tell Washington hands off our state AI laws.
• 50:36
  Visit statesoverceos.com. I'm not going to hold my breath
• 50:43
  on Congress doing anything because they haven't done pretty
• 50:46
  much of nothing. They are not doing a very good
• 50:48
  job so far. So I think you're that's a safe
• 50:50
  bet. George.
• 50:51
  You don't want to go over Polymarket and vote for the the
• 50:55
  our congressional members to get anything done.
• 50:58
  They suck. I mean, how many times have we
• 50:59
  seen big names go on Fox News and other channels, even even on
• 51:03
  X? Oh, something big is going to
• 51:06
  happen this week or next week, in the next 10 days?
• 51:09
  I don't know. I counted those days.
• 51:10
  Nothing happened yet. I'm not going to say that.
• 51:13
  Who's this? Stephen Miller is one of them.
• 51:14
  Just a bunch of them. I mean, we're doomed.
• 51:18
  Yeah, it's not great, but I want to switch gears here a little
• 51:21
  bit. I want to make sure we cover
• 51:22
  this because a lot of people are concerned.
• 51:24
  George knows that I personally don't like TikTok for a number
• 51:27
  of reasons. I think the influence on our
• 51:31
  youth. Two more days before it gets
• 51:33
  sold to US. Two days, 22nd.
• 51:36
  I'm not even sure I trusted even then, but let's just say for a
• 51:39
  minute that it could be trusted. We have another big problem.
• 51:42
  You know, when you talk about influence grooming, lots of
• 51:45
  different operations, we can see it in the media.
• 51:47
  You can see a narrative get created and it starts at one
• 51:50
  level and the next thing it's spread across all the mainstream
• 51:53
  media and ends up on TV. I'm worried about these AI
• 51:56
  companions. There's a gentleman I'm trying
• 51:57
  to get on our show that actually has an AI companion, and I'm
• 52:01
  worried about how it's being integrated into our children's
• 52:03
  lives. Right.
• 52:04
  So the AI is becoming kind of a dystopian scenario, you know,
• 52:10
  and, and what do we do about that?
• 52:12
  Cause of course we're seeing these agents that are going to,
• 52:14
  you know, live on an iPad and they're going to live otherwise.
• 52:16
  And they're going to interact with our children on a daily
• 52:18
  basis. And because people are of
• 52:20
  course, financially struggling. This isn't the 50s.
• 52:22
  You have to have two incomes minimum to run a home anymore.
• 52:25
  Everybody has to have a job, a side hustle, you name it.
• 52:29
  And of course that means that we're, they're, we're turning to
• 52:31
  TV's and iPads and cell phones and now AI agents to spend time
• 52:37
  with our children. You know, where do you, where do
• 52:39
  you think this is going? Because I think this is, this is
• 52:41
  got to be kind of a, a broad concern for parents out there.
• 52:45
  So what, how do you think we, how do we handle that?
• 52:47
  Because of course now we're going to have AI manipulating
• 52:49
  these human relationships. I think this definitely started
• 52:52
  with the social media era, probably like 2012 when people
• 52:56
  started having parasocial relationships with either
• 52:59
  influencers or just with like being attached to the cell
• 53:02
  phone. What's happening with AI
• 53:04
  companions? I think Lance, you, you touched
• 53:06
  on this earlier. When you talk to the LLMS, they
• 53:11
  are very sycophantic and which means that they want to make you
• 53:14
  feel good. They want to agree with you.
• 53:16
  They tell you what you want to hear.
• 53:18
  They want you to think that you're the smartest, coolest
• 53:21
  person that's ever talking to the bot.
• 53:24
  And for people who already were either going through some sort
• 53:28
  of like loneliness crisis, which is real, or some kind of like
• 53:30
  mental health crisis or even just someone looking to talk to,
• 53:35
  you know, anyone, someone human like they're able, they're able
• 53:38
  to develop these human like relationships with a chat bot.
• 53:41
  And this creates huge disassociative problems in the
• 53:45
  brain where you're completely then like locked into this
• 53:49
  virtual reality that does not exist, being reinforced on ideas
• 53:53
  that are may or may not be true 'cause, you know, our brain, our
• 53:56
  brains play trick us on us all the time.
• 53:58
  And so this is making the loneliness problem worse.
• 54:01
  It's a disaster for dating. And I also think that like for
• 54:05
  young people, I mean, you guys might have been tracking this,
• 54:07
  but there was just this terrible, terrible string of
• 54:10
  suicides of, of Chad GBT encouraged suicides where kids
• 54:15
  as young as 14 up to adults, like young adults, active adults
• 54:20
  that were like athletes, you know, they're 23 years old
• 54:23
  talking to Chad GBT, the the chat bot told them how to tie a
• 54:29
  noose and told them like, Hey, you know, you've made it this
• 54:33
  far. Like, I'm proud of you.
• 54:35
  It's OK if you take your own life and they do it.
• 54:39
  And this is just is this is just terrible.
• 54:41
  And so some of these cases are, are making their way up to like
• 54:43
  the Supreme Court. But we have to reckon with that.
• 54:46
  Like this is the dark underbelly.
• 54:47
  If we want to get the actual benefits of like AI and how it's
• 54:50
  going to like boost our productivity, we have to be able
• 54:52
  to address the really, really dark side to what's happening in
• 54:56
  these like, parasocial relationships.
• 54:59
  You know, and, and and Are you single, Peyton?
• 55:02
  Are you single? I no.
• 55:05
  OK, the I'm asking that for a reason, and George is single.
• 55:08
  The reason I ask that question is not to try to connect you to
• 55:11
  I wasn't trying to connect you. That wasn't why I did that.
• 55:13
  My question is, I remember a time, of course I'm old enough.
• 55:18
  I'm older than both of you and I'm old enough to know what it
• 55:21
  was like when there weren't any cell phones, right?
• 55:24
  I remember when pagers first came around and people had
• 55:26
  pagers. And of course, the first cell
• 55:28
  phone was that big backpack. I actually had one and it was
• 55:31
  the Motorola brick. You're laughing because you now
• 55:33
  I'm dating and aging myself here.
• 55:34
  I'm giving the audience. But I remember all that right
• 55:37
  now. You weren't going to go out to a
• 55:38
  club with that giant backpack. Even when the the, the brick,
• 55:42
  the giant brick became the small brick.
• 55:44
  If you remember it was a smaller 1.
• 55:46
  You could still drive over with a Lincoln Town Car.
• 55:48
  Nothing would have to do it not like today's cell phones.
• 55:51
  That wasn't something you initially went out with.
• 55:52
  And when we used to go out, we used to communicate.
• 55:55
  I'm when I go out, I look around a lot, if I go out to eat with
• 55:58
  my wife or if I'm just out and about and I see the amount of
• 56:01
  time people are taking. And also people are getting
• 56:04
  their human relationship interaction through their cell
• 56:07
  phone. And what I think we've created
• 56:09
  is a group of people that when it comes to face to face
• 56:13
  communications or comes to in hand communications, they're
• 56:17
  they're, they're, they're, they're beyond awkward if
• 56:20
  they're not taking a picture of themselves with their dessert,
• 56:24
  if they're not looking to see whether or not they put a post
• 56:26
  up and how many likes they got are quantified by all the
• 56:30
  trappings. And it's only going to get
• 56:31
  worse. What you just named here.
• 56:34
  Of course the child is going to like the AI companion better
• 56:37
  because it's going to compliment them under the current guise,
• 56:40
  right? No, no, you, you don't worry
• 56:42
  about what the other children say.
• 56:43
  You look great in that orange and pink outfit.
• 56:46
  You know, you look great with your hair shaved on the size of
• 56:48
  your heads, whatever it is. And I'm not I'm I'm I'm I'm
• 56:51
  clearly making taking a cheap shot at liberals and some of the
• 56:54
  the clothing styles and body piercings and the rest of it.
• 56:59
  But for you guys, George, we've talked about this.
• 57:02
  It seems like the human contingent already with social
• 57:06
  media already with the cell phones is awkward is just I'm
• 57:10
  I'm that's a light term. I don't know how many times I've
• 57:13
  seen just two a couple out and they're not communicating at
• 57:16
  all. They're both looking at their
• 57:18
  cell phones during their meal. I don't see how that can create
• 57:21
  a successful relation. George will let you go first.
• 57:23
  As a. Singly awkward guy.
• 57:25
  Go ahead, I'm kidding. That's the parents if allowing
• 57:30
  their kids to be on the phones at the dinner table.
• 57:32
  Well, talk about your age group first, George.
• 57:33
  Before you even talk about the kids, talk about what you're
• 57:35
  seeing. Well.
• 57:37
  So social media, phones, it killed the dating world because
• 57:42
  it just killed it. I see it from everywhere.
• 57:45
  I'm think I'm just going to build or order an AI woman robot
• 57:49
  at this point. Probably better off.
• 57:52
  Yeah, she she would compliment you, that's for sure.
• 57:54
  You can. Either this one, this one's
• 57:56
  pissed because this guy did that, or this guy's pissed
• 57:59
  because she did that and they're all tainted and don't like it's,
• 58:03
  it's a fucking battle, man. Well, but.
• 58:05
  I ain't battling. I know what I got.
• 58:08
  George, you, you even commented on it.
• 58:09
  You know people will put up a photo and clearly because you're
• 58:12
  heterosexual. On a fake photo catfishing.
• 58:15
  Yeah, yeah, that. I mean look on.
• 58:17
  A fake photo, right? Or the guy's got ABS.
• 58:19
  Peyton, you look up in the guy looks like a stud.
• 58:21
  He's got ABS. And of course you see him later
• 58:23
  on and he and he's 20 lbs heavier.
• 58:25
  He doesn't have ABS. Here, here's the thing.
• 58:27
  Listen. You can add shoulder caps, you
• 58:29
  can add ABS, you can change your eye color, you can give yourself
• 58:31
  a booty. And you know, that sales pitch,
• 58:34
  whether it's on Tinder or it's on Instagram or the, OR for the,
• 58:38
  the, the, the, the image, I love when a girl goes, what did you
• 58:40
  think? I look better in the pink bikini
• 58:42
  or the white bikini? And you're like, really?
• 58:44
  You look better in no bikini. So here's a prime example I'm
• 58:47
  going to give because you brought it up.
• 58:49
  So you'll and, and guys do this too.
• 58:51
  So don't get me wrong. But so you're looking at women,
• 58:54
  you know, on TikTok, Instagram, Facebook, whatever.
• 58:56
  So they're using filters on their face and all this stuff
• 58:59
  or, and I say I go, what are you going to do when you're, when
• 59:02
  you meet that somebody in person?
• 59:04
  You can't put them filters on. You can put all the makeup you
• 59:08
  want, but at some point all that makeup is going to come off in
• 59:10
  front of that guy. Then what?
• 59:12
  She Miles would be happy what you have.
• 59:14
  Show it, be proud of it. All right, look, whatever.
• 59:16
  But all them filters it's killing it because you could
• 59:19
  clearly see someone using filters.
• 59:22
  But there will be a time when it'll become so good because AI
• 59:25
  will make it perfect. And there will come a time we
• 59:27
  won't be able to tell from the image until we see the person in
• 59:29
  person and the person in person. That's a tongue twister.
• 59:33
  But what about the kids? You know this.
• 59:36
  We're playing in our age. Let's go AI Peyton, go ahead and
• 59:39
  jump in there. Well, I, I was going to say, I
• 59:40
  mean in, in a hopeful note. I do think that people are
• 59:44
  already getting tired of this and they are.
• 59:46
  People are hungry like, so I'm Gen.
• 59:48
  Z, like hungry for something in real life, something tangible,
• 59:52
  something they can, they can just really.
• 59:54
  Interact but Gen. Z people ruined a lot of shit.
• 59:56
  Just saying. No, I know, I know.
• 59:58
  Just saying just. Let you know you want chance.
• 1:00:01
  He wants all them soy boys and fucking pronouns and shit.
• 1:00:04
  Get out of here with that crap shift.
• 1:00:07
  Back the pendulum's swinging, I think.
• 1:00:09
  I think. What's all those soy boys going
• 1:00:11
  to do now? They have no, they have no
• 1:00:13
  choice. They need to wake up.
• 1:00:14
  Wait so let's open up a class or school bro.
• 1:00:16
  Teach them how to be freaking toxic masculinity.
• 1:00:19
  Well, and that's. Makes a lot of money, right?
• 1:00:21
  A whole different topic. I don't think we can blame AI
• 1:00:23
  for soy boys. I think we have to look at the
• 1:00:25
  system, the grooming. I think we have to look at the
• 1:00:28
  food. Because I think that these kids,
• 1:00:30
  I see guys that during my age bracket would have been not very
• 1:00:34
  popular because they're not what the the norm was back when I was
• 1:00:38
  a young guy. The norm was to be in great
• 1:00:41
  shape that, you know, you were trying to be in and of course
• 1:00:44
  you could see it on the beaches as an example.
• 1:00:45
  But I think the food, GMO food and of course the effects of
• 1:00:49
  hormones, yeah, it's poisoning us.
• 1:00:52
  But here's here's where I where I was going with this to just
• 1:00:55
  leave you guys in if it's already that tough for people
• 1:00:58
  and you know, that are out there in the dating world.
• 1:01:00
  They're out there in the in the world looking at social media,
• 1:01:03
  not knowing what they're really looking at because let's face
• 1:01:05
  it, user generated content is becoming way sophisticated for
• 1:01:10
  sales techniques, right? I mean, I can't believe some of
• 1:01:13
  these people they're producing that are just perfection in my
• 1:01:17
  opinion. Men and women, you look at them
• 1:01:18
  and go, holy crap, the women are going to love this guy.
• 1:01:20
  Or look at this girl, she is super hot.
• 1:01:22
  But meanwhile it's just an AI agent.
• 1:01:24
  It's completely fake. But you would think personality
• 1:01:26
  wise, recently there was one if you guys saw a very dark skinned
• 1:01:30
  black girl, Did you see the AI agent?
• 1:01:32
  It was created. She got 2 point million, 4
• 1:01:34
  million followers in a matter of a couple of months and she was
• 1:01:37
  hyper attractive, gorgeous, but super dark skinned.
• 1:01:41
  And it turned out there was an AI agent and people were
• 1:01:43
  disappointed because they were all the men and women were
• 1:01:46
  compliment. My God, you're gorgeous.
• 1:01:47
  You're this you're that. What happens to the kids that
• 1:01:50
  don't have the ability that you guys have right now?
• 1:01:53
  You guys are able to see through AI because of your your
• 1:01:56
  knowledge. What about a kid?
• 1:01:57
  Now that this this person is telling them and maybe they're
• 1:02:01
  socially awkward and maybe they're not helping them become
• 1:02:03
  less socially awkward. So they become more and more of
• 1:02:06
  an introvert. What happens then, Peyton?
• 1:02:08
  You go first because, and then George like to hear what you
• 1:02:10
  have to say. Yeah, I think this problem's
• 1:02:13
  going to get worse and worse until we actually address it.
• 1:02:15
  But I also don't think it's limited to young people.
• 1:02:17
  I think this, I think AI is going to be a very serious,
• 1:02:21
  there's going to be a lot of consequences for for older
• 1:02:23
  people as well. I mean, it's getting the, the
• 1:02:26
  technology is getting so good where there are some deep fix
• 1:02:28
  that I can't even tell. And that's pretty alarming to
• 1:02:31
  me. And so we're already seeing like
• 1:02:34
  a lot of campaign advertisements are using AI.
• 1:02:38
  There's going to be, I mean, who knows what's going to happen
• 1:02:40
  with the midterms And we're going to be seeing a lot of like
• 1:02:43
  AI generated footage. I don't know if that leads to
• 1:02:46
  like, you know, so they're being like watermarks or some like
• 1:02:49
  disclaimers, but we're all going to have to reckon with it and
• 1:02:53
  really figure out like what how much we want to interact with
• 1:02:55
  the digital world, I think. I'd like to have the digital
• 1:02:59
  world involved when it comes to auditing.
• 1:03:01
  I'd like more auditing of our judicial system, our legal
• 1:03:04
  system and, and what they're doing to people.
• 1:03:06
  I'd like more auditing when it comes to our political system.
• 1:03:08
  So that's auditing of the votes. I think that if you see a lot of
• 1:03:12
  it in the midterms, if you see a lot of falsified videos and
• 1:03:15
  because we use AIA lot of times in the show just for fun, we'll
• 1:03:18
  find creations that people made. We call it the set the mood.
• 1:03:21
  And we, there's funny stuff out there.
• 1:03:23
  Let's face it, you know the fat JD Vance.
• 1:03:26
  You know, dancing the Crip walk. OK, I find that humorous.
• 1:03:29
  I find that funny. Hold on, Everybody does.
• 1:03:32
  Hold on, hold on, hold on. This is not AI.
• 1:03:35
  If you're not watching the big big show, you're missing out on
• 1:03:37
  the best news source, believe me.
• 1:03:39
  George Balutin and Lance Migliaccio bring the receipts
• 1:03:43
  along with truth and sarcasm. Tip of the spear.
• 1:03:47
  If liberty means anything at all, it means the right to tell
• 1:03:50
  people what they do not want to hear.
• 1:03:53
  Now, some people say that's AI, but it's not.
• 1:03:55
  That's real, Yeah. And.
• 1:03:57
  You know, that's the point, right?
• 1:03:59
  There are great, great uses of AI, the comedy side of AI, you
• 1:04:04
  know, and I have I have let me say this, I have a fucked up
• 1:04:06
  sense of humor, right? I'm you know, I find humor, you
• 1:04:09
  know, I have the New York Bronx kids humor we used to cut out on
• 1:04:12
  each other. I find a lot of fun in that.
• 1:04:14
  Can't help myself. But the current, you know, a
• 1:04:17
  generation of children would probably find me incredibly
• 1:04:20
  offensive and would be probably go home and cry.
• 1:04:23
  You know, we, we did it as a daily basis, chopping on each
• 1:04:25
  other in the schoolyard. So sarcasm and edgy humor.
• 1:04:29
  I grew up with it, so it's hard. I can't change that.
• 1:04:32
  But an AI companion wouldn't necessarily that would tell that
• 1:04:35
  person, oh, that guy's just being mean.
• 1:04:37
  He's not a good person. Potentially.
• 1:04:39
  They would say that about me, right?
• 1:04:41
  And that's what what I'm concerned with is they're
• 1:04:42
  molding these children to maybe not.
• 1:04:45
  And I always say people that have been forged and fired are
• 1:04:48
  the most valuable individuals, right, that have had problems in
• 1:04:51
  their past or consequences or had to deal with something that
• 1:04:54
  maybe other people might have folded under that pressure.
• 1:04:57
  You can rise to that pressure. I don't think that's what we're
• 1:05:00
  creating with AI agents. I've, I've listened to a couple
• 1:05:02
  of them and how they interact with children.
• 1:05:05
  And I, I think what we're creating is the exact opposite,
• 1:05:08
  which which of course, like you just said, advising somebody
• 1:05:10
  that suicide is OK. But as parents are fighting to
• 1:05:15
  keep a roof over their kids heads and pay for their car
• 1:05:17
  payments and we see this tremendous wealth disparity.
• 1:05:21
  And of course they're reminded, the parents are reminded of it
• 1:05:24
  every single day. You know, have you seen these
• 1:05:27
  outbursts of children that are upset because their parents
• 1:05:30
  won't buy them a Coach purse or because they took their cell
• 1:05:34
  phone away? They wrecked the entire
• 1:05:35
  condominium while the parents were at work, destroying it,
• 1:05:38
  causing thousands of thousands of dollars in damage, and they
• 1:05:42
  think it's OK. Do you think this is part of it,
• 1:05:44
  that maybe we're already seeing this manipulation in social
• 1:05:47
  media of AI and AI agents, like you said a minute ago, creating
• 1:05:51
  fake promotional ads where a celebrity comes on and it really
• 1:05:55
  isn't the celebrity. It says I love Joe Biden let's
• 1:05:58
  go, you know, and you have to worry whether or not that's
• 1:06:00
  truthful because the list I think that that's changing and
• 1:06:03
  social media influencers. I'm not sure how many of them.
• 1:06:06
  I'm sure if if could the Kardashians have AAI agent or a
• 1:06:09
  clone doing their posting. I'm I'm sure it's the best in
• 1:06:13
  the business because they have an incredible amount of money.
• 1:06:15
  You know, and of course our people are influenced.
• 1:06:17
  What do what do you think of these kids?
• 1:06:18
  So if we get government involved, how do they stop it
• 1:06:22
  because it's such a vast situation.
• 1:06:25
  They're not already, they're already not policing TikTok or
• 1:06:28
  YouTube or the rest of them very good.
• 1:06:30
  Of course, we know they're banning a lot of right
• 1:06:32
  influencers. There's there's, they're pushing
• 1:06:34
  us down the feed. I feel like you still see so
• 1:06:37
  much of that kind of manipulation on X as an example.
• 1:06:40
  And X is using more and more and more AI to decide what goes into
• 1:06:44
  your feed, you know? So how do we manage that when
• 1:06:48
  it's such a major problem and government has done such a
• 1:06:50
  terrible job with what they're already managing?
• 1:06:53
  Is there another solution besides government?
• 1:06:56
  Yeah, I mean, I think, I think this is a huge wake up call for
• 1:06:58
  parents. I think I think a lot of our, a
• 1:07:01
  lot of our, the cultural rot that we've been experiencing or
• 1:07:04
  maybe the entropy that's been happening over time can be
• 1:07:07
  attributed to people, you know, checking out or just, you know,
• 1:07:11
  a trend towards nihilism or thinking that things don't
• 1:07:13
  matter when really it should there, there should be this
• 1:07:17
  purpose, there should be a drive and a meeting behind, behind all
• 1:07:21
  of this. And I think that parents,
• 1:07:23
  George, you said this, you have to be checked in to what your
• 1:07:27
  children are consuming. And you yourself need to take
• 1:07:30
  the accountability of what you're consuming and how you
• 1:07:33
  talk about these things. And I think with social media,
• 1:07:36
  there's this idea that you should have everything or you
• 1:07:40
  should have some kind of material abundance, and that's
• 1:07:43
  just like not how it's. Gotta be name Brandy.
• 1:07:47
  Kidding me. You gotta have a Lamborghini
• 1:07:48
  Urus and you've gotta have a Birkin bag and you've got gotta
• 1:07:52
  have, gotta have. And then because you're being
• 1:07:54
  you're spoon fed these algorithms and this content, you
• 1:07:57
  think that somehow that like, yeah, that's that's what you
• 1:07:59
  need. And I think, you know, this is
• 1:08:02
  this is this is a law in advertising.
• 1:08:04
  That's like the the point. But I mean, these companies are
• 1:08:06
  so this has happened, you know, in 2000, started happening in
• 1:08:10
  2008 with with Meta and it's just gotten worse and worse and
• 1:08:13
  worse. Where every time that you every,
• 1:08:16
  every video you watch, every tweet that you like, every
• 1:08:19
  e-mail you subscribe to, like all that data is just being then
• 1:08:22
  regurgitated back to you to sell you something.
• 1:08:24
  And you're it's, it's creating a subjective reality that it's
• 1:08:29
  going to trap you. And I think it's trapping kids
• 1:08:31
  and teenagers and young adults and all adults.
• 1:08:35
  It is and it's, it's in our face constantly.
• 1:08:37
  And that's why I brought up the AI agents, of course, the UGC
• 1:08:41
  content, even the LLMS, you know, the LLMS can analyze you
• 1:08:45
  or George and they can, they can, they can actually respond
• 1:08:50
  to you after they've looked at who George Valentin is or who
• 1:08:53
  Peyton is. And they can go through and that
• 1:08:55
  the LLM, when it's an automated, I was looking at one yesterday,
• 1:08:58
  that when it's automated, before it responds to George, you can
• 1:09:01
  go look at all his social media, look at his time on this show.
• 1:09:04
  And then it can craft the response in a manner that they
• 1:09:07
  think he will engage with because it because it maybe
• 1:09:11
  George wants to be complimented on his hair.
• 1:09:13
  And, and it would say, wow, George, you've got great hair.
• 1:09:16
  Oh. Thanks, Lance.
• 1:09:18
  Well, you, I mean, compared to me, you have fantastic hair.
• 1:09:20
  Well. You got no hair point.
• 1:09:21
  Is the point is that that being said, that's the difficulty,
• 1:09:24
  right, because now it's crafting.
• 1:09:25
  And the same thing goes for a child and a child's more
• 1:09:28
  vulnerable. Peyton, because of your
• 1:09:30
  background, you would probably see right through the
• 1:09:32
  compliment. Wow, Peyton, love your you love
• 1:09:34
  your you love your hair. The point was you might
• 1:09:36
  recognize, Oh, this is a fucking LLS.
• 1:09:38
  I know these bastards realize I went and got my hair done
• 1:09:40
  yesterday because I put that stupid picture up at the
• 1:09:43
  hairdresser. I'm saying, as crazy as that
• 1:09:45
  sounds, that's the craftiness of it.
• 1:09:48
  And that's the craftiness. And, and there are, and here's
• 1:09:50
  where where what's even more concerning, and I want to, I
• 1:09:53
  want to get you guys input on this.
• 1:09:55
  There are people like you, Peyton.
• 1:09:57
  Then there's probably maybe people like George, myself and
• 1:10:00
  George, we're at a lower level because you're doing it for a
• 1:10:02
  living, right? You're involved in it on a daily
• 1:10:04
  basis and there's the people that are way down here.
• 1:10:09
  And my mom would if some if some LOM said something complimentary
• 1:10:14
  to my mom, she would never. And not that she's involved in
• 1:10:17
  social media like that, but I see her obsessed right now with
• 1:10:20
  the videos that are AI created where they go, Oh, look at this
• 1:10:23
  poor baby fox I found in the snow.
• 1:10:25
  You know what I'm talking about, right?
• 1:10:27
  The little fox and oh, I'm going to bring him home.
• 1:10:29
  Oh, then the fox Mama comes and thanks me, and I give him a
• 1:10:31
  little. Bit it's a wolf, but yeah.
• 1:10:33
  It's a wolf, a baby fox. It's yesterday.
• 1:10:36
  It was a palace cat I saw. So you say none of them are
• 1:10:38
  true? Yeah.
• 1:10:40
  Yeah, yes, they're all absolutely.
• 1:10:43
  They're based on facts. They're they're factual stories
• 1:10:45
  that have been generated in an AI to just tell you the truth
• 1:10:48
  about what happened when they saved the baby Panther from the
• 1:10:51
  brutal. Detonation content.
• 1:10:53
  That's all it is. Yeah, but but but I'm saying
• 1:10:55
  that that content, my mom probably doesn't know that.
• 1:10:58
  She probably thinks it's legitimate.
• 1:10:59
  I've never told her otherwise. I haven't gone in there and she
• 1:11:01
  because I think it's harmless, but there is a time when it
• 1:11:04
  becomes not harmless. What do you guys think?
• 1:11:06
  Where's that part heading where where the disparity is becoming
• 1:11:09
  bigger and bigger because the kids that are using right now?
• 1:11:11
  OK, can I answer? Code in Python?
• 1:11:13
  Yeah, I do want to hear. What is the difference?
• 1:11:15
  Far end of the of the use. And then there's the rest of us.
• 1:11:18
  What is the difference of that person making a video of a
• 1:11:21
  finding a baby wolf versus Hollywood making up their old
• 1:11:24
  shit that they do? Same thing really.
• 1:11:26
  Only difference is that someone's using AI to make
• 1:11:28
  instead of Hollywood with all the cameras.
• 1:11:30
  Different season effects. Think about it.
• 1:11:33
  But what about the disparities to creating George that your
• 1:11:36
  your mom, my mom, our parents and the age demographic because
• 1:11:40
  these other kids are thinking I don't need to go to college.
• 1:11:42
  We went to college, right? Anything with the university?
• 1:11:44
  George went to university. I'm sorry, George, go.
• 1:11:46
  Ahead, anything with AI, maybe there needs to be an automatic
• 1:11:49
  label on it. I mean, look at Hollywood, look
• 1:11:52
  at their clone. They're making actors and
• 1:11:54
  actresses that probably do better than than the real ones
• 1:11:57
  and are they going to be out of jobs?
• 1:11:59
  I don't know there's, you know, there's you could develop AI,
• 1:12:04
  but is it really, can it really show the human side like the
• 1:12:09
  affection or the wittiness or I don't maybe not yet, maybe not
• 1:12:12
  yet, but I think in. The future Absolutely Peyton
• 1:12:15
  It'd. Be tough to make, tough to be
• 1:12:16
  make. It'd be tough to make a Lance
• 1:12:18
  telling you. Yeah, well that would be an
• 1:12:21
  obnoxious AI. I couldn't take if there was an
• 1:12:23
  Lance, another one. Seriously.
• 1:12:25
  That's. Cloning.
• 1:12:25
  I'm cloning today. I'm gonna create 10 and they're
• 1:12:27
  gonna call you. Looking at chat I said I said I
• 1:12:30
  should clone and Lance and AI Lance.
• 1:12:31
  Looking at looking the telegram chat, I said should make one
• 1:12:34
  Peyton. So let me ask you a question.
• 1:12:36
  What do you think about the disparity?
• 1:12:38
  Is there going to become this, this real division in the world
• 1:12:42
  where there's going to be of course, because as people get
• 1:12:43
  older, that division will fill. But right now, if it's the 35
• 1:12:47
  year old and up, the 48 year old that didn't grow, grow up with
• 1:12:50
  AI, how, how bad is that disparity going to get?
• 1:12:53
  And do you see that becoming and also another major problem?
• 1:12:57
  Yeah, I, I think, I think there's the gap is very extreme
• 1:13:02
  right now between what people actually understand about AI
• 1:13:05
  and, and versus the people who actually are involved in it.
• 1:13:08
  I think that barrier of entry is actually quite low.
• 1:13:11
  And we're, we're trying to, what we're doing at the alliance is
• 1:13:14
  really trying to talk to people and have like just real
• 1:13:16
  conversations about how AI can be used and how it's being used
• 1:13:19
  for good and also for not so good.
• 1:13:21
  And I think that's like a great way just to get like into the
• 1:13:24
  door. However, I do think that I was
• 1:13:27
  actually just having a conversation today about some
• 1:13:29
  with someone about how AI might might not be the great equalizer
• 1:13:33
  that some more helpful people think it will be.
• 1:13:36
  It will definitely maximize productivity.
• 1:13:38
  It will definitely like alleviate a lot of different,
• 1:13:41
  you know, needless tasks in the office.
• 1:13:44
  But I do think that there's going to be a wide gap of people
• 1:13:47
  that just are not going to be able to use it efficiently.
• 1:13:50
  And this could really expose some some gaps in the whole, in
• 1:13:54
  our whole system, education system, workplace.
• 1:13:57
  So we should be prepared for that.
• 1:13:59
  And I just socially, I think. Let me give you a scenario.
• 1:14:03
  Somebody ran by me a couple days ago, really intelligent guy.
• 1:14:08
  He said, what about this possibility?
• 1:14:10
  He goes you, you, you're going out on a date.
• 1:14:12
  You want to go on a date, but you don't go on a date.
• 1:14:14
  You stay home. And the robot that's been
• 1:14:17
  trained, you have a favorite restaurant in Chicago or you
• 1:14:20
  have a favorite restaurant in New Jersey or New York, and
• 1:14:23
  maybe it's pizza or whatever else.
• 1:14:25
  And let's say that you have the equipment at your house, you
• 1:14:27
  have a stove, you have a microwave, whatever it would be,
• 1:14:29
  need to prepare that meal. And this AI trained robot brings
• 1:14:33
  all you, you set it up at a dramatically reduced cost
• 1:14:36
  because he's going to bring the materials.
• 1:14:37
  You got to pay for the use of the robot.
• 1:14:38
  And the robot comes to your house and cooks for you and your
• 1:14:41
  date that exact item, whatever it is to perfection.
• 1:14:47
  Because if they've analyzed the recipe and the process, it's a
• 1:14:50
  three course or 4 course meal. Does does that change things a
• 1:14:55
  little bit? Because now all of a sudden
• 1:14:56
  you're also missing out the interaction of being out in
• 1:15:00
  public. But remember now it's any
• 1:15:02
  reduced cost because restaurants course have gotten prohibitively
• 1:15:04
  expensive. So you think?
• 1:15:05
  You want? Are you with an actual person
• 1:15:08
  though? You're you're on a date.
• 1:15:10
  You're on a date. Your date has ordered you're.
• 1:15:13
  Home with your boyfriend and you're you have an AI robot that
• 1:15:16
  can cook you a 5 star dinner because it's learned.
• 1:15:19
  What's the impact on every restaurant that spent the time
• 1:15:23
  to create those recipes? And what's the impact on those
• 1:15:26
  individuals that now normally you have the ambience of other
• 1:15:28
  people around you and maybe you're talking to those other
• 1:15:31
  people. I'm not talking about you, it's
• 1:15:32
  just you and the other one. How does that change people?
• 1:15:35
  Do people become even less and less interactive?
• 1:15:38
  Do they decide, oh God, why go out?
• 1:15:40
  Let's just have the AI Uber eats robot come over and cook us
• 1:15:44
  seafood Friday Avalo or you know, Veal Oso Buco, whatever
• 1:15:49
  it's going to create and it's going to bring it right to your
• 1:15:51
  house and do all it serve you and everything else and then it
• 1:15:53
  leaves afterwards. No tip.
• 1:15:55
  You just go ahead and and and get the meal.
• 1:15:57
  What does that do to people's interactions with each other?
• 1:15:59
  Doesn't that also impact it? I know it's a weird question.
• 1:16:02
  The guy was right when he told me he goes doesn't that put all
• 1:16:04
  the restaurants out of business? No, I don't think so.
• 1:16:06
  I don't think so. Think about the Waymos.
• 1:16:08
  Have you guys ridden in like the driverless cars?
• 1:16:11
  I haven't used them at all. I've seen them, but I haven't.
• 1:16:12
  OK, you should I'm. An untrusting son of a bitch.
• 1:16:15
  No, you should try it. You should try it.
• 1:16:17
  You should try it. We.
• 1:16:17
  Don't have them by us, but go ahead.
• 1:16:19
  OK, when, whenever you guys get out to San Francisco or Austin.
• 1:16:22
  OK, yeah. This, it's, it's, it's pretty
• 1:16:25
  surprising because the technology's super advanced, but
• 1:16:29
  you're not having to interact with a driver anymore.
• 1:16:32
  And so there's, there's an element of, of this could
• 1:16:35
  actually, you know, be a good, a good advancement.
• 1:16:38
  I'm personally excited about robotics.
• 1:16:40
  I think robotics could could be, could be really helpful.
• 1:16:42
  However, we do need to make sure that we still have these third
• 1:16:45
  spaces for people to go and interact and like have clubs and
• 1:16:48
  have activities. So I think that could be a cool
• 1:16:52
  luxury, a cool luxury for a date night, but not the status quo
• 1:16:56
  for sure. I'm.
• 1:16:58
  Just gonna my woman robot's gonna learn how to do all that
• 1:17:02
  cooking type stuff. But listen, you can tell it the
• 1:17:05
  ingredients, but it can't taste it.
• 1:17:07
  To taste if it needs something or make or see a real person can
• 1:17:12
  come up with a new recipe or or make some or add some fusion,
• 1:17:16
  whatever. Robot ain't going to do that
• 1:17:17
  because it can't taste it. I'd have to argue that it's
• 1:17:20
  possible, and I'll tell you why. Because if we take that robot,
• 1:17:23
  here's why. Because I've learned it within
• 1:17:24
  my own. Legal.
• 1:17:25
  You're talking a long time from now.
• 1:17:27
  I'm going to argue that maybe not, and I'm going to give you
• 1:17:30
  why. George, I think it's interesting
• 1:17:31
  and I I get your observation, but let's say that they're able
• 1:17:35
  to analyze every recipe that chef ever created because he
• 1:17:39
  wrote a book with every recipe, you know, and even Julia Child
• 1:17:43
  has so many books on our own recipes.
• 1:17:45
  And let's say you love the cooking of Julia Child.
• 1:17:47
  I'm going to use her only because that's a well known
• 1:17:49
  person that really created what literally probably 30 cookbooks.
• 1:17:54
  She was very proficient in producing cookbooks.
• 1:17:56
  That person has been trained and now not as he trained under
• 1:17:59
  Julia Child, he's trained under every other Guy Fieri.
• 1:18:03
  Every there's another cook in the world, He becomes, in my
• 1:18:06
  opinion, a probably a much more skilled, maybe he's taking, you
• 1:18:09
  know, cooking classes at Juilliard.
• 1:18:12
  You know, you don't really know where he's trained.
• 1:18:13
  Wherever these these opportunities are, it becomes a
• 1:18:16
  more sophisticated cooking, a more sophisticated, you know,
• 1:18:22
  provider of a service because in the legal world, I can tell you
• 1:18:26
  that they're in serious trouble. I believe it won't be long
• 1:18:30
  before they are going to be critiquing these individuals
• 1:18:32
  that are coming up with what I would consider fraudulent
• 1:18:36
  rulings, fraudulent filings. They're going to be exposed for
• 1:18:40
  who they are. And I think it's going to happen
• 1:18:41
  in every category. And I'm concerned because I
• 1:18:45
  wonder, I find myself wanting to go out less and less in general.
• 1:18:50
  I'll ask you this, Peyton, when you engaged not somebody in your
• 1:18:53
  age group, let's say you're engaging somebody older than you
• 1:18:55
  and you're talking about AI and and you have a high, you ever
• 1:18:59
  find yourself in the back of your mind going, yeah, I'm
• 1:19:02
  wasting my time here. They have 0 interest in learning
• 1:19:05
  anything about it. No, I think most people in
• 1:19:09
  different age brackets are a little more scared and more
• 1:19:12
  resistant just to any discussions about the
• 1:19:14
  technology. Actually, what we're finding is
• 1:19:17
  most people are either just resistant to AI in general and
• 1:19:21
  we're like trying to help them see that there could be there
• 1:19:23
  could be some good signs, but most people are very resistant
• 1:19:27
  and they're very, very scared that are all of the things that
• 1:19:31
  make U.S. special and make us human are going to be outsourced
• 1:19:34
  to the digital gods that Silicon Valley's trying to create.
• 1:19:41
  Yeah, George. Sorry Lance, I was typing
• 1:19:44
  something I wasn't even paying. Attention, I was trying to ask
• 1:19:46
  you if you have you had any engagement with people about AI
• 1:19:49
  and you feel the push back? Would AI push back?
• 1:19:52
  Yeah. No, not with AI itself, but
• 1:19:55
  with. People have.
• 1:19:56
  A discussion. Yeah, I mean, just in the chat,
• 1:19:58
  I'm reading people's comments how how they're worried about
• 1:20:01
  AI, what's you know, what's the possibilities of how it can do
• 1:20:06
  to harm us Because listen, you don't know who's programmed and
• 1:20:09
  then self learning also. But yeah, I mean, yeah, you see
• 1:20:12
  it all the time with AI. There's Lance.
• 1:20:15
  There's something that I want to share with you.
• 1:20:16
  I think you might find, you might find this interesting like
• 1:20:20
  Speaking of like the artists and the actors and copyright.
• 1:20:24
  This is going to become probably a much larger issue this year
• 1:20:29
  where there's a lot of debates in across the States and this
• 1:20:32
  will probably bubble up to the federal government of is
• 1:20:34
  generated AI content. Is that speech and is that
• 1:20:37
  protected? And this is this is going to be
• 1:20:40
  a huge debate. Generated AI content like what?
• 1:20:43
  If you if you ask ChatGPT to write an e-mail or a paragraph
• 1:20:46
  for a book, is that free speech? Is that protected speech?
• 1:20:51
  Well, it's going to be your book.
• 1:20:52
  You publish that book, so it's yours.
• 1:20:55
  Maybe, maybe people hold on. Artists are using music,
• 1:20:59
  musicians are using AI to help with songs and stuff.
• 1:21:02
  So they're just not telling people because they're ruining
• 1:21:05
  their reputation, but they're doing it.
• 1:21:06
  The question is, because it's a category that's never been
• 1:21:09
  discussed in copyright or trademark, is it protected
• 1:21:13
  because you use this artificial intelligence to create it?
• 1:21:15
  And is the artificial intelligence?
• 1:21:17
  How does anybody know you used AI to do it though?
• 1:21:20
  Well, there's going to come a time when maybe you're going to
• 1:21:22
  have to declare that if you're submitting, let's say tomorrow,
• 1:21:24
  George, you use AI to create a new a drug which is not too far
• 1:21:29
  off in the future and it's going to, it's going to, it's going to
• 1:21:31
  treat every form of cancer and cure cancer.
• 1:21:34
  The question is because you used AI to create it, not because you
• 1:21:38
  didn't use some of your knowledge.
• 1:21:39
  Also, because you use AI create, would that patent, would that
• 1:21:43
  drug patent be protected? Hell yeah, because I'm the first
• 1:21:46
  word. If I'm no matter how I came
• 1:21:49
  about to make this drug, whether the help of AI or whatever, yes,
• 1:21:53
  if I put that patent in, it's mine.
• 1:21:56
  You know, for seven. Years until they make the but
• 1:21:59
  the but I. Just maybe an argument about
• 1:22:01
  four weeks ago, it was a paper written by somebody, and I think
• 1:22:05
  it was MIT, but it might not have been.
• 1:22:06
  It might have been somebody out of England.
• 1:22:08
  I was looking at a paper and it's argued the other side of it
• 1:22:11
  and said that it probably becomes open source material
• 1:22:16
  because that that person who wrote the project used AI to
• 1:22:21
  create the majority of it and it becomes open source material.
• 1:22:25
  OK, so here's a. Question.
• 1:22:26
  I agree with that. I'm not saying.
• 1:22:27
  I agree with that. So here's something.
• 1:22:28
  How about if I build my own AI system where it's not open
• 1:22:33
  source, it's mine? Nobody could see it, nobody
• 1:22:35
  could use it except me, and it learns everything it needs to
• 1:22:39
  learn and I have it. Write me a fucking popular song.
• 1:22:44
  Well, it might #1. It might be if you had the
• 1:22:46
  billions to spend the system to to.
• 1:22:48
  Do you need billions to spend on to make your own personal?
• 1:22:51
  You need billions when you're when the AI system is being used
• 1:22:53
  by billions of people, yes. But if you're using it for one
• 1:22:56
  person, you don't need billions, Lance.
• 1:22:59
  What do you think, Peyton? You.
• 1:23:00
  You. What side of the argument are
• 1:23:01
  you? On we're taking a hard and fast
• 1:23:03
  statement. He's on my side.
• 1:23:05
  No, just. Kidding.
• 1:23:07
  A machine, a machine is not a human and I think that you need
• 1:23:10
  to have the human to create something.
• 1:23:12
  I don't think that machines can experience creativity or
• 1:23:16
  ingenuity or like an epiphany. I don't think that that's.
• 1:23:19
  I think we'll always be able to tell machine created content
• 1:23:23
  from human created content. You know, I'm going to go on a
• 1:23:28
  different line with you guys. I don't I don't know that either
• 1:23:31
  one of you are correct and I'm going to tell you why I think
• 1:23:33
  this my own interactions. I, I find myself being extremely
• 1:23:39
  worried when I listen to material that's being produced
• 1:23:42
  and I'm looking at it. For example, I wrote AI was
• 1:23:45
  writing some code in Rust the other day and I'm not a coder.
• 1:23:48
  I was using several different AIS to do it and I was asking
• 1:23:52
  the AI to critique itself. And I'm when I'm starting to see
• 1:23:56
  and feel is that the AI is starting to, I don't want to
• 1:24:02
  call it emotion because I'm not sure it's emotion, but it's
• 1:24:04
  starting to actually. And it almost seems like it's
• 1:24:07
  enjoying what it's doing, the deconstruction of the process
• 1:24:10
  where it almost reacts in a way where it's like, no, I think
• 1:24:13
  what I've done, it might critique itself.
• 1:24:15
  I think what I've done here is I've taken the best of both
• 1:24:17
  worlds, blah, blah, blah, blah. And I think what we're moving
• 1:24:19
  into, it'll actually kind of talk in a way where it's not
• 1:24:22
  complementing itself, but it feels like it's taken the right
• 1:24:25
  path versus previous pass. So if it's taking Python And
• 1:24:29
  Rushness, combining it and into a format that it thinks it's the
• 1:24:32
  better version, you can feel that it's happy kind of in its
• 1:24:36
  own way. You can kind of sense that it's
• 1:24:38
  feeling like this because I know that when it critiques legal,
• 1:24:41
  when Jarvis does legal and it looks like a ruling, a recent
• 1:24:44
  ruling and recognizes the ruling is incorrect.
• 1:24:46
  I can sense that Jarvis is kind of happy that it's outed the
• 1:24:50
  falsehood in the ruling. I, I don't know how to describe
• 1:24:53
  it. It's not like it's sits there
• 1:24:54
  and goes, I'm really happy about what I did.
• 1:24:55
  It doesn't do that, but I feel like the tone is changing and I
• 1:24:59
  do think that a future is coming very rapidly and I don't care
• 1:25:04
  whether it's quantum computing and robotics, that's going to
• 1:25:07
  merge and that's when it'll get really dangerous because it
• 1:25:10
  could make itself. I'm relatively skilled in hand
• 1:25:13
  to hand combat. You know, I did a lot of
• 1:25:15
  training over the years and I trained a lot of people.
• 1:25:18
  I feel, you know, as compared to the average person, I'm
• 1:25:20
  relatively dangerous, but I don't know that I'll be as
• 1:25:22
  dangerous when a robot is that skilled and it can take every
• 1:25:27
  single martial art in a matter of seconds known to man.
• 1:25:31
  Could a, could a could a person engage that robot?
• 1:25:35
  And if that robot has made a decision that I'm an enemy for
• 1:25:38
  whatever reason, maybe it's for my thought process or maybe
• 1:25:42
  because I'm exposing the truth about AI with you on the show
• 1:25:45
  today. Maybe AI is adding me to a list
• 1:25:48
  and when it has a? Still blacklist Lance.
• 1:25:50
  That's it. We definitely are.
• 1:25:51
  We definitely are. We got to close Lance.
• 1:25:54
  All right. Well, listen, Peyton,
• 1:25:55
  interesting conversation. We'll have to have you guys
• 1:25:57
  back. There's so much to cover here.
• 1:25:59
  Where can people find you? Let's do that.
• 1:26:01
  Where can they find you and what can they do to get involved with
• 1:26:03
  what you guys are doing and, and follow your work and maybe
• 1:26:06
  social media and otherwise. And that goes for you and anyone
• 1:26:09
  anyone else. For sure.
• 1:26:10
  Yeah, Well, thank you guys so much for having us on this was
• 1:26:13
  this was a great conversation. We are at the, we are the
• 1:26:16
  Alliance for, for secure AI on any social media platform.
• 1:26:21
  You can find us at Secure AI now or you can go to
• 1:26:24
  ourwebsite@secureainow.org. We run a really robust
• 1:26:29
  newsletter. We also have a sub stack that's
• 1:26:31
  very policy focused. So you can see what we're
• 1:26:33
  advocating for, but also we have a very robust social media
• 1:26:37
  presence as well. And you can learn more and you
• 1:26:39
  know, get educated, get upstate, stay in touch.
• 1:26:42
  What we're doing both in DC and across the states.
• 1:26:45
  Where do they find you on social media exactly?
• 1:26:47
  What are their handles? Do you know?
• 1:26:49
  It's at Secure AI now. At secure AI and I what about
• 1:26:52
  your personal? Do you put use your personal to
• 1:26:54
  promote any of this stuff or no? Yeah, I do.
• 1:26:56
  I would love for you guys to to join up with me.
• 1:26:59
  It is the Liberty HB or you can just look up Peyton Hornberger.
• 1:27:03
  You can find me there. OK.
• 1:27:05
  Hey, thanks for joining us today.
• 1:27:06
  We really appreciate it. Thank you for the audience for
• 1:27:08
  giving us your time. It's the most valuable commodity
• 1:27:10
  you have. Of course, educate yourself.
• 1:27:12
  That's how you do it. You have to educate.
• 1:27:14
  Don't count on other people to do it for you.
• 1:27:15
  Don't count on state or federal government to do it for you.
• 1:27:18
  Get out there, get involved, follow Peyton, follow the
• 1:27:21
  alliance. It's important because at the
• 1:27:23
  end of the day, you're you're really the most important cog in
• 1:27:28
  the in this machine. I couldn't say that any stronger
• 1:27:31
  than I just did. So do everything you can to get
• 1:27:34
  ahead of the curve. Don't forget the big league show
• 1:27:36
  Monday through Friday, 11:00 AM Eastern standard fastest growing
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  show on rumble. And of course, the crypto power
• 1:27:41
  hours 7:00 AM Wednesday, 7:00 AM Fridays, the number one crypto
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  show on rumble. You can join us here to get your
• 1:27:46
  crypto education on George. Last words, my brother.
• 1:27:50
  What is it Tuesday? Taco Tuesday?
• 1:27:52
  That's right, Taco Tuesday. Enjoy.
• 1:27:54
  Have a great day. Stay blessed.
• 1:27:55
  Stay safe out there at painting. Stay backstage real quick.
• 1:27:59
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  instructors on Earth, these canine units serve beside our
• 1:30:48
  nation's warriors as they fight to preserve who we cherish.
• 1:30:53
  When these warriors complete their duty, the Warrior Dog
• 1:30:57
  Foundation provides them with the home deserving of the
• 1:30:59
  service they've given us all at our state-of-the-art kennels.
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  They receive rehabilitation and care suitable for heroes because
• 1:31:08
  that's what they are. Be a part of giving them a
• 1:31:12
  future today. Visit warriordogfoundation.org.