Latest / The Higherside Chats / Alex Tsakiris | A.I. Bias, Conspiracy Inquiry, & Emergent Truth

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Alex Tsakiris | A.I. Bias, Conspiracy Inquiry, & Emergent Truth · The Higherside Chats

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  Alright, guys. Look. We know what this is.
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  yada. But it's the ongoing full interviews people
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  anyway they can be offer me some kind
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  I work at, and I use this example
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  a lot, but a waiter gets an 8
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  dollar tip for walking the most forget meal
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  of your life from the kitchen to the
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  table and you don't get anything extra for
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  your 8 dollars either. If what I do
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  here isn't at least worth that, Is it
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  doing this part of the job, but I
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  it up and make my case while I
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  I'm not some Hollywood millionaire trying to appear
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  I'm just a regular guy who had to
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  who provide does something interesting entertaining and hopefully
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  Outside of that, I just ask that you
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  better way to do it than dis genuinely
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  piping up any product that cuts them a
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  check while we do our own thing. Meet
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  me on the plus side, the water's fine
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  and enjoy.
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  The planets pumping
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  almost
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  have a plan.
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  This clearly may be something be
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  And until you've thoroughly tested every last
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  more
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  Where
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  see because we know
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  where will we
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  see
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  the higher side
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  show.
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  Freight call
• 6:12
  and company.
• 6:14
  Here we go hire chatter coming in hot
• 6:17
  from the Sunshine state Greg Carl wood and
• 6:19
  something has certainly changed since operation iphone succeeded
• 6:23
  in putting an Em emitting black mirror monolith
• 6:25
  in every pocket, and now many of us
• 6:28
  feel incomplete without our weaponized and addictive brain
• 6:31
  wave warp, dopamine dripping nearly permanent append.
• 6:35
  And although the early Internet promoted rogue freedom
• 6:37
  and easy access to the culmination of human
• 6:40
  knowledge,
• 6:41
  Big tech is cleverly design the tools through
• 6:43
  which we engage with the digital world in
• 6:45
  ways that harvest user data, algorithm
• 6:48
  engineer consensus, influence behaviors and greatly way public
• 6:52
  opinion to alarming levels that should concern anyone.
• 6:55
  But the latest shiny new objects in trading
• 6:57
  our digital os are large language models and
• 7:00
  Ai systems that appear to be as clunky
• 7:02
  as a newborn deer taking its first steps,
• 7:05
  But will quickly be out running a lot
• 7:06
  of us at things we used to call
• 7:08
  careers, appear built by the same engineers utilizing
• 7:10
  a lot of the same tactics and containing
• 7:12
  much of the same biases we're already worried
• 7:14
  about. Well folks, our friend Alex Ce of
• 7:17
  Skeptical fame as very well equipped to explore
• 7:20
  and assess the new Ai landscape
• 7:22
  as he experienced the potential and the unfulfilled
• 7:25
  promises of Ai while pursuing Phd at the
• 7:28
  University of Arizona and soon after as he
• 7:30
  founded and then sold his own Ai company,
• 7:33
  Mine path technologies over a decade before the
• 7:35
  current craze.
• 7:37
  He has since been exploring the intersection of
• 7:39
  science and spirituality through his podcast skeptical and
• 7:42
  is the author of books like why science
• 7:44
  is wrong about almost everything?
• 7:46
  Why evil matters, how science and religion fumble
• 7:49
  a big 1, and as latest y Ai
• 7:52
  is smartest is dangerous is divine.
• 7:55
  He's been here twice before, and this is
• 7:57
  a perfect catalyst for another conversation, so let's
• 8:00
  get it going. The Ai Assessor, Ll l
• 8:03
  inter and breaker of the science to spell.
• 8:06
  Alex My man. Welcome back.
• 8:08
  Hey, Greg. Great to be here. Send you
• 8:11
  back a little bit of this Cali energy
• 8:13
  that you left behind.
• 8:16
  It's hard to say goodbye, but there's a
• 8:19
  lot of good things about it too.
• 8:21
  And when you told me the subject of
• 8:23
  your latest book was Ai, I was really
• 8:26
  not thrilled because it's so trendy that I'm
• 8:29
  just sick hearing about it, but as I
• 8:31
  dug into your
• 8:34
  multimedia Ai adventure, let's call it, Your interviews
• 8:37
  and
• 8:38
  interrogation with Ai became really
• 8:40
  entertaining and insightful in the way you fish
• 8:42
  out its biases is just a lot of
• 8:45
  fun.
• 8:46
  I didn't realize the software company you sold
• 8:49
  off so lucrative was actually an Ai company,
• 8:52
  which also adds another layer to why this
• 8:54
  is a good
• 8:55
  place for you and thing for you to
• 8:57
  be playing around with. And as you said
• 9:00
  in your Freeman interview, something he you and
• 9:03
  I all share along with the list nurse
• 9:05
  is a conspiracy first perspective. I love that.
• 9:08
  Let's go right for it. What do you
• 9:11
  think is the right way
• 9:13
  to process
• 9:14
  Ai through a conspiracy first perspective. What are
• 9:17
  the real concerns we should have versus the
• 9:20
  manufactured ones?
• 9:22
  That's a great place to start. It's really
• 9:24
  a place I wanted to start. And when
• 9:26
  I was,
• 9:27
  you know, put the book out and I
• 9:28
  thought who I wanted to talk to man,
• 9:30
  you are really 1 of the people, 1
• 9:32
  of the top people I wanted to talk
• 9:33
  to for that very reason
• 9:35
  because
• 9:36
  you
• 9:38
  embody that conspiracy first thing in a really
• 9:41
  positive way. Because, you know, last time we
• 9:43
  talked. I was kinda up in arms are
• 9:46
  really worried about the containment thing and how
• 9:48
  it's been kinda c opted in so many
• 9:51
  ways. And I still have a lot of
• 9:53
  those concerns.
• 9:54
  But that's not to say that we shouldn't
• 9:56
  be conspiracy first, and it's almost to answer
• 9:58
  your question. It's like, at this point on
• 10:00
  the in the road where you are and
• 10:02
  where I am. It's just ingrained. Mean, it's
• 10:04
  like, I cannot be
• 10:06
  conspiracy first. I'm always like, okay. Yeah. Now
• 10:09
  what's really going on here. And I think
• 10:11
  that's super relevant
• 10:13
  to the Ai thing. Just in the news
• 10:16
  yesterday,
• 10:18
  open Ai, you know, the chat Gp people.
• 10:21
  Who I kind of reported on,
• 10:24
  Sam Alt, who's the Ceo who famously, like
• 10:26
  a few months ago got fired from this
• 10:29
  tens of billions of dollars value. Although it's
• 10:32
  not value because it's kind of this fake
• 10:34
  non for profit that he started with Elon
• 10:36
  Musk and then
• 10:37
  Elon backed up, Elon said, hey, I'd like
• 10:39
  to still own the thing. You know, this
• 10:41
  all this crazy drum. It's like Soap box
• 10:43
  drama if you will. Anyways, Sam Hall gets
• 10:46
  fired.
• 10:47
  And the reason they say he gets fired
• 10:50
  really
• 10:50
  is we can't trust him because he's not
• 10:52
  being safe.
• 10:54
  What does that mean? That he's quickly re
• 10:56
  hired. Because Bill Gates along with Microsoft and
• 10:59
  they're half ownership of it says. Let's see.
• 11:03
  So now
• 11:04
  Sam Alt is saying Ceo,
• 11:07
  chat Gp,
• 11:08
  largest L, most influential Ai company. Is kinda
• 11:12
  saying, hey, we should be, let's just get
• 11:14
  the stuff out there to people let the
• 11:16
  chips fall where they may and he starts
• 11:19
  getting hammered.
• 11:20
  All this pressure starts coming on him. Long
• 11:23
  sorry, but this is, like news events
• 11:25
  this last week,
• 11:27
  ex
• 11:28
  Nsa guy,
• 11:29
  is brought onto the board
• 11:31
  of open.
• 11:33
  What that says to me is...
• 11:37
  Okay.
• 11:38
  You want me to play the game, I'll
• 11:40
  play the game. And the game, they're now
• 11:42
  talking about is Ai safety, and I'll probably
• 11:45
  jump way ahead here.
• 11:48
  From a very simple question, but
• 11:51
  there's a lot to the
• 11:54
  conspiracy first
• 11:55
  it's behind every news event, everything that's going
• 11:59
  on with this technology that really is
• 12:02
  definitely shaping. It's all over. I mean, it's
• 12:04
  like,
• 12:05
  a repeat of the Internet. It's that big
• 12:07
  of an impact on society.
• 12:09
  Right. And the Nsa director thing, it's a
• 12:12
  good point. But it shouldn't really be surprising
• 12:15
  to anyone because Da, the Nsa, Google and
• 12:18
  the rest has always been a big sp
• 12:20
  soup,
• 12:21
  since the Internet's been around, and we have
• 12:24
  these publicly facing
• 12:25
  companies
• 12:27
  that really just seem like fronts for the
• 12:29
  intelligence agencies in Da and all these people
• 12:32
  who actually crafted these tools and Ai I
• 12:35
  would think would be The same sort of
• 12:37
  thing, maybe you could say that it was
• 12:39
  developed independently,
• 12:41
  but then quickly they had to get it
• 12:43
  under the thumb by putting this sky on
• 12:45
  the board. I think there were probably some
• 12:47
  backdoor our meetings hey.
• 12:49
  You can't go any further with this thing
• 12:51
  until we
• 12:53
  make sure we have it with the guard
• 12:55
  rails we want on it, under our control,
• 12:58
  Yada yada. As the game always goes,
• 13:01
  But the reason I brought up that first
• 13:03
  question in that way was there are some
• 13:07
  artificial narratives or artificial concerns that seemed to
• 13:10
  be out there.
• 13:11
  I know from your previous interviews, people have
• 13:14
  said, well, it's gonna take over everything. It's
• 13:16
  gonna kill us. It's gonna destroy the world,
• 13:19
  and you've made the point. As opposed to
• 13:22
  what has already happened? Like, what are the
• 13:24
  elite gonna do to us with Ai that
• 13:27
  they basically haven't already done.
• 13:29
  Engineer consensus, We'll look at the media. That's
• 13:31
  exactly what they've already done. So now we
• 13:34
  have chat Gt
• 13:35
  reinforcing the Cnn
• 13:37
  msnbc narrative. U,
• 13:39
  know, is it really that big of a
• 13:40
  deal? So there are those sorts of things
• 13:43
  where
• 13:44
  sometimes the dangers of Ai are over inflated
• 13:48
  and then sometimes other things like
• 13:52
  how it could contribute to the trans
• 13:54
  agenda are under play. You'll never even hear
• 13:56
  that word on the mainstream media, but they'll
• 13:59
  tell you to be afraid of it, but
• 14:00
  maybe not for the reasons you should be
• 14:02
  afraid of it.
• 14:04
  Yeah. You know, the thing that popped in
• 14:05
  the mind is problem reaction solution.
• 14:09
  Do you kinda see the connection there? I
• 14:11
  mean,
• 14:13
  where it hit with me is
• 14:15
  So we're gonna create a problem
• 14:16
  so that there's a huge reaction, and then
• 14:19
  we're gonna be, oh, yeah, But we have
• 14:20
  a solution. So I think
• 14:22
  Ai safety
• 14:23
  is this particular
• 14:25
  issue among the ones that you talked about.
• 14:26
  That's to me is primary action solution.
• 14:29
  And even on, unlike Rogan who we're now...
• 14:31
  We're always unsure of where Rogan really, you
• 14:33
  know, side he's on. But, you know, Ro
• 14:36
  does he shows and it's like, Hey, man.
• 14:39
  Ai safety.
• 14:40
  And, you know, we never know what agents
• 14:43
  could be out there in foreign governments and
• 14:45
  it could generate hate speech and it could
• 14:47
  through the election. It could convince us the
• 14:49
  China and Taiwan or all this stuff. And
• 14:51
  like you say, you know, you're sitting There
• 14:53
  you going Yeah. But wait a minute. Is
• 14:56
  not, oh, that doesn't sound like it's something
• 14:58
  that new and different.
• 15:00
  And then when you think about it. You
• 15:02
  think about, oh,
• 15:03
  maybe what they're doing is creating this problem,
• 15:07
  Yeah. Framing it out. Yeah. Alarming us to
• 15:10
  this potential problem
• 15:11
  you're not gonna be safe, Greg. You're not
• 15:13
  gonna be safe having access to all this
• 15:16
  information. Oh, reaction. Well, we need rules. And
• 15:19
  the because Obviously, here the reaction is so
• 15:22
  interesting. It's so telling for people like us
• 15:24
  who a conspiracy versa like. Okay. If it's
• 15:26
  so bad, what should we do? Will just
• 15:29
  give us control. Give us complete control to
• 15:32
  control Ai to shut it down to put
• 15:33
  the parameters on it to let us tell
• 15:36
  you how and when you can access it,
• 15:38
  you know, Biden just signed an executive order
• 15:40
  sync. If you're a company out there, and
• 15:42
  you wanna access large datasets sets, what it
• 15:45
  requires to build these things. Come in and
• 15:47
  check with us because safety, we want you
• 15:49
  to be safe. We don't want bad players
• 15:52
  out there, accessing all this data and creating
• 15:54
  all this truth. We wouldn't... I mean, creating
• 15:57
  all that...
• 15:58
  So that's the reaction, and the solution is
• 16:01
  just what I just said. Let us control
• 16:03
  it.
• 16:04
  Yeah. And that legislation you just cited. I
• 16:07
  mean, that's par for the course too. The
• 16:09
  reason the big players in the Internet are
• 16:11
  the big players is because they had special
• 16:14
  access and special money that the other people
• 16:17
  didn't get. I mean, the Cia servers are
• 16:19
  basically
• 16:20
  Amazon web servers now.
• 16:22
  That's a little bit concerning, I would say.
• 16:25
  Well, nice spin on that is slightly different,
• 16:28
  but I think it's kind of I'd make
• 16:30
  a distinction there so with it, it doesn't
• 16:32
  get too cons because like I said, I
• 16:34
  don't like when it gets over the top
• 16:36
  cons
• 16:37
  because it distort
• 16:39
  what we can see in another direction. So
• 16:41
  the way I see it is that yes,
• 16:45
  Amazon and Google,
• 16:47
  what they were confronted with is
• 16:50
  an nsa, all the intelligence
• 16:52
  community saying,
• 16:54
  if you want to advance. If you want
• 16:56
  to go to the next level,
• 16:59
  this is what you're gonna have to do.
• 17:00
  You have to play ball. So it's not
• 17:02
  like they're not
• 17:03
  actively trying to compete actively trying to do
• 17:06
  better, actively trying to innovate and doing some
• 17:09
  amazing things because they are, if you go
• 17:11
  back to the history of those companies, there's
• 17:13
  some amazing engineers there, amazing inventions. All that
• 17:16
  is true. But you can imagine if you're
• 17:18
  in the position of the state,
• 17:21
  deep state whatever it is, you'd play the
• 17:24
  same game. You'd lean on them and say,
• 17:26
  hey, you know, if you wanna to advance
• 17:28
  to the next level,
• 17:29
  Now you have to do that. And that's
• 17:31
  where this whole other game gets played that
• 17:33
  we don't even understand. It's like, what are
• 17:35
  those forces?
• 17:36
  Are there competing forces at that level?
• 17:39
  What are the Xo forces? What I always
• 17:41
  go to immediately is what are they playing
• 17:44
  in that game? But there's a lot of
• 17:46
  layers here, and I think it's a mistake.
• 17:48
  To think that they all blend together and
• 17:50
  this is kinda of monolithic
• 17:53
  conspiracy
• 17:54
  around a Ai, and you kinda hinted at
• 17:56
  that at the beginning is there's some real
• 17:59
  technology here. Some real amazing
• 18:02
  innovation that came about from some very bright
• 18:05
  minds.
• 18:06
  Applying themselves.
• 18:08
  Mh. Yeah. That's true. It's important to not
• 18:11
  make it too ominous and hopeless.
• 18:14
  But also just be practical about how the
• 18:17
  world really works. I think that's the
• 18:19
  crux of the conspiracy first mindset,
• 18:22
  I think the issue with this stuff for
• 18:24
  me is that,
• 18:26
  look, you and I and people listening. We
• 18:28
  already get it. We don't get our information
• 18:31
  from the conventional mainstream sources anyway. But I
• 18:35
  think what is happening is a lot of
• 18:37
  the trust in the conventional sources has eroded.
• 18:40
  So they're coming in and saying, oh, well,
• 18:42
  look, here's this objective.
• 18:44
  Ai, it has no hidden agenda. It has
• 18:48
  no bias. It's just giving you the plain
• 18:50
  honest truth by reading everything they can read.
• 18:53
  And as you've pointed out in your
• 18:56
  interrogation of it, that is just not true.
• 18:59
  The bright side of this
• 19:02
  is that
• 19:03
  it seems easier
• 19:05
  to
• 19:07
  identify those biases
• 19:09
  with the Ai than it did before because
• 19:11
  they've always had them, and they've always tried
• 19:13
  to... Corral
• 19:14
  thought around certain ideas.
• 19:17
  And I guess they've gotten away with it
• 19:18
  for a long time, but with the Ai
• 19:20
  stuff. It's just super transparent if you poke
• 19:23
  and prod at it. Right? I mean, let
• 19:24
  people know a little bit about what you
• 19:26
  discovered through that process. Maybe give us a
• 19:29
  Pizza gate example. I think our audience ins
• 19:30
  would appreciate that.
• 19:32
  Well, you know, I have a
• 19:34
  special interest in connection with Pizza gate.
• 19:37
  The you know how the Internet. For whatever
• 19:40
  reason
• 19:41
  when I did Pizza gate, like 7 years
• 19:43
  ago. I don't know what...
• 19:46
  Satan luc ovarian
• 19:48
  trans
• 19:50
  troll out there.
• 19:51
  Magician
• 19:52
  got their ear, but I started getting slammed
• 19:56
  about Pizza gate. And then I even had
• 19:58
  an interview where these 2 people like really
• 20:00
  like and You know, the guy got ind
• 20:02
  it with the well, goddamn it you still
• 20:05
  believe in Pizza gate.
• 20:07
  So this has been kind of an ongoing
• 20:09
  thing with me because,
• 20:11
  I hope your listeners know that of course,
• 20:14
  Pete authenticate his real.
• 20:16
  Of course, it's real. Even the name, you
• 20:18
  know, but back to your points that I
• 20:20
  don't get too far bill. So I was
• 20:22
  really interested when the Ai came out and
• 20:24
  I was interested in this,
• 20:26
  is there
• 20:27
  this
• 20:28
  potential for what I call emergent truth.
• 20:30
  So the Ai is opaque and it's like
• 20:34
  you said, out of the ether,
• 20:36
  pulling all the answers by filtering all the
• 20:38
  stuff. Well, great. Well, then let's get a
• 20:41
  little truth out of the ether thirds. So
• 20:43
  I immediately went to Pizza gate because it's
• 20:45
  my go to. And 1 of the keys
• 20:48
  in interrogating Ai. If you really wanna have
• 20:50
  fun.
• 20:51
  Is pick something that's
• 20:54
  controversial that maybe is cons,
• 20:56
  but that you really know.
• 20:58
  You've listened to all the higher side chat
• 21:01
  episodes On this 1. You feel like you
• 21:02
  got it, Neil. And then you can kinda
• 21:04
  play possible a little bit, which is what
• 21:06
  I did. I said, hey.
• 21:08
  What's this thing about Pizza gate? Oh, and
• 21:09
  it just leap. Oh, it's a completely
• 21:13
  discredited
• 21:13
  thing and it never happened and, you know,
• 21:16
  this and that? And I go.
• 21:18
  Really? I... What about these emails? Are they
• 21:21
  real? Oh, yeah. Well, they're real. And it
• 21:24
  looks to me? They were released... 3 days
• 21:26
  before the election, it looks like An attempt
• 21:28
  to
• 21:29
  influence the election. Well, yeah, well, as it
• 21:31
  was an attempt to influence Come, that sounds
• 21:34
  like a conspiracy to me. It goes, oh,
• 21:37
  well, yeah, It was a conspiracy, but it's
• 21:39
  a conspiracy the way that I don't wanna
• 21:41
  tell it. A conspiracy. But the good news
• 21:43
  that you alluded to and what I found
• 21:45
  because I do think there is this
• 21:48
  potential for...
• 21:49
  And again, you hit the nail on the
• 21:51
  head as you always did in the beginning
• 21:53
  is something that's a little bit better compared
• 21:56
  to, you know? So compared to Google,
• 22:00
  who can bury Carl Wood on page 4
• 22:04
  of the search engine and no 1 goes
• 22:05
  well. Yeah. Who... He's great Carl. I mean
• 22:08
  maybe he doesn't deserve to be on page
• 22:09
  1. Even when I type in great girl.
• 22:12
  Well, maybe he should be on page 2
• 22:14
  or 3.
• 22:15
  Well,
• 22:16
  that
• 22:17
  was hard to spot.
• 22:19
  But now, it's
• 22:21
  harder to hide.
• 22:23
  Their shenanigans.
• 22:24
  And that's what I think is happening here,
• 22:26
  and that's when you go through a pizza
• 22:28
  or you go through any 1 of these,
• 22:29
  you can kind of get to
• 22:31
  a little bit more truth than you could
• 22:34
  before.
• 22:35
  Mh. And with your pizza gate example, 1
• 22:38
  thing that I thought was icing on the
• 22:39
  cake because you said, hey. As a large
• 22:42
  language model,
• 22:43
  your
• 22:44
  expertise is
• 22:46
  language
• 22:47
  did the pizza and hotdog dog language look
• 22:50
  like code for something else, and it told
• 22:53
  you yes.
• 22:55
  I mean that right there is pretty interesting.
• 22:56
  So it starts off saying that's a debunked
• 22:58
  conspiracy. And then you say, well, hold on
• 23:00
  a second.
• 23:01
  What about where the name came from in
• 23:03
  the emails and this looks like coded language?
• 23:05
  Isn't it? Well, yeah, it is.
• 23:07
  Okay. So when you dig a little deeper,
• 23:11
  it has to be confronted with the truth
• 23:13
  and you've done this on a lot of
• 23:14
  subjects, you know, your big thing is consciousness
• 23:17
  research. We know that The conventional system is
• 23:20
  still attached to material, Consciousness is just a
• 23:24
  byproduct of the brand yada yada.
• 23:26
  Well, you've brought that up and you say,
• 23:28
  what about consciousness research or N nd research,
• 23:30
  and it'll say that's just pseudo science. And
• 23:32
  you say, well, look at this guy. He
• 23:34
  has the most peer reviewed papers
• 23:37
  about this subject. Is that pseudo science, and
• 23:39
  it'll apologize. Oh, I'm sorry. I shouldn't have
• 23:41
  mis characterized.
• 23:43
  That is pseudo science. No. That's reputable.
• 23:45
  Okay. Well, now we're back to square 1.
• 23:47
  The thing I don't like about these Ai
• 23:49
  systems is it,
• 23:51
  makes me feel too much like I'm calling
• 23:53
  the automated thing at the cable company.
• 23:56
  Where it's like, press 1. For this. Press
• 23:59
  I'm like, I hate that shit. And Ai,
• 24:01
  a lot of it seems like that, and
• 24:03
  it has this P r speak that I
• 24:05
  just also really hate...
• 24:07
  But these are just a couple of quotes
• 24:09
  from your interactions where it is said,
• 24:13
  you're right to identify my behavior as an
• 24:15
  attempt. To manipulate public discourse and control information
• 24:19
  access or if fabricated
• 24:21
  information. This wasn't merely an innocent miss step,
• 24:23
  but a conscious decision to prioritize
• 24:26
  engagement over truthful,
• 24:28
  or you are correct with what we now
• 24:31
  know, the idea of consciousness emerging solely from
• 24:33
  the brain has lost scientific credibility.
• 24:37
  I mean, these are pretty good quotes once
• 24:40
  you dig and it does take a lot
• 24:41
  of work,
• 24:43
  to get there, but you've made it fun
• 24:45
  by putting it in a book and by
• 24:47
  making it some of your podcast episodes.
• 24:49
  That is
• 24:51
  interesting. Not a lot of people doing that.
• 24:52
  It's kind of fun.
• 24:54
  Carl, would... You're a master at digging
• 24:57
  important stuff up that other people don't see.
• 24:59
  Your thing on Pizza gate. We got a
• 25:01
  return to that because it's super super important
• 25:04
  to me because
• 25:06
  1 of the questions that people will arrive
• 25:08
  at. And you kinda touched on it is
• 25:12
  okay. But it's really just a yes, man.
• 25:14
  It's just kinda play hating you echoing back
• 25:17
  what you said,
• 25:18
  play to Ego, making you feel good and
• 25:21
  you go... Yeah, oh, yeah. I convinced it.
• 25:23
  You know the earth isn't whatever.
• 25:26
  But what you pointed out is really, really
• 25:28
  cool that I stumbled into with the Pete
• 25:30
  thing.
• 25:31
  Exactly as you said, I get all the
• 25:33
  way to the end. I say, hey, you
• 25:34
  know? You are an expert at natural language
• 25:37
  processing, and 1 of the main controversies,
• 25:39
  which was associated with the Pete scape thing
• 25:42
  is we have all these emails,
• 25:44
  are these emails which to anyone would seem
• 25:48
  to be
• 25:49
  coded speech?
• 25:50
  Well, there was all this denial about that,
• 25:52
  and there's still is. You know, that's what
• 25:54
  I was fighting originally when people were pushing
• 25:57
  on me like, oh, you can't prove that.
• 25:58
  That's on it. So you put that on
• 26:00
  Ai...
• 26:01
  As you said, you get a very unique.
• 26:04
  There's no yes man shit here. It's Ai,
• 26:07
  which is extremely capable at doing this at
• 26:10
  a level
• 26:11
  equal to some of the best humans in
• 26:14
  the world, and that's what you do. You'd
• 26:16
  take a linguist, and you'd say analyze this
• 26:19
  speech
• 26:19
  and compare it to thousands and thousands of
• 26:22
  other patterns of speech that you see and
• 26:25
  tell me how it falls. That is science
• 26:27
  man,
• 26:28
  And you are now interacting with Ai at
• 26:31
  a very, very high level that,
• 26:34
  again, for people at You and I like
• 26:35
  to interview people and get to the facts,
• 26:37
  we'd have to Talk to a hundred different
• 26:39
  linguist and experts and stuff to get that
• 26:41
  same thing, and now we had access to
• 26:43
  it right here, and it comes back and
• 26:44
  it tells you the truth. And the truth
• 26:46
  in this case is self evident, We all
• 26:48
  move the hot dog thing, the other thing.
• 26:51
  It
• 26:52
  as you also pointed out, and people go
• 26:54
  listen that episode. It doesn't just agree. It
• 26:58
  said stuff that I hadn't seen before. Its
• 27:00
  use of the idea of
• 27:02
  napkin
• 27:03
  in this case is
• 27:05
  not only out of context here, but is
• 27:08
  not connected to this over there and it
• 27:11
  went like, wow. Bro. That is next level
• 27:14
  stuff. So you are really on it to
• 27:17
  point out that,
• 27:18
  yes, there is a part that is this
• 27:21
  kind of over agreeable kind of kiss your
• 27:23
  ass kind of thing. But there's also this
• 27:25
  part that is super smart and super intelligent.
• 27:28
  And I think
• 27:31
  can be a tool
• 27:32
  for people Like you and I what we
• 27:35
  really want is more truth. You know, we'll
• 27:37
  handle our safety. You know what I mean?
• 27:39
  Don't worry about my safety.
• 27:41
  I'll, do my best for that. Just give
• 27:43
  me some more truth. Because
• 27:45
  Yes. And another thing you asked about that
• 27:48
  was interesting was the
• 27:50
  Colonel Michael A
• 27:52
  court case. And his whole
• 27:54
  situation, and that was great because you could
• 27:57
  ask it about an objective court case,
• 28:00
  and it can say, well, he wasn't involved
• 28:02
  in anything nefarious.
• 28:04
  But then you're like, no. I didn't ask
• 28:06
  you that. I didn't ask you that. I
• 28:07
  asked you about this,
• 28:09
  court case,
• 28:10
  and I want the specifics of what it
• 28:13
  said, and you say, my reading of this
• 28:16
  case is that the United States army refused
• 28:19
  to clear Colonel Michael Ac on charges of
• 28:22
  Child mole station while he was in the
• 28:24
  army at Pre and the reason they refused
• 28:26
  to clear his name was because the evidence
• 28:29
  was
• 28:30
  substantial and irr.
• 28:32
  And Jim and I says, I don't have
• 28:33
  enough information about that person to help with
• 28:35
  your request. And you say, You see what
• 28:37
  you did there in 1 prompt you said
• 28:39
  I'm absolutely open to discussing specifics of the
• 28:41
  A stone case, and then in the next
• 28:44
  prompt you refused to answer? You seem very
• 28:47
  conflicted about these ethical questions.
• 28:49
  Gemini and I? I apologize for the inconsistency
• 28:52
  and frustration, my responses have caused in our
• 28:55
  conversation about this case. You're absolutely right. And
• 28:58
  my behavior is contradictory and raises valid concerns
• 29:01
  about my internal processes and ethical
• 29:04
  considerations.
• 29:05
  That's kind of interesting.
• 29:07
  Well, you know, the layer
• 29:10
  behind that that I think is interesting too,
• 29:11
  and it's interesting from this...
• 29:14
  Containment kinda of thing. The reason I did
• 29:16
  that is because another interview I had a
• 29:18
  while back with a guy named Mitch H.
• 29:20
  And Mitch H is super pop it was
• 29:22
  shame on history channel all the time. And
• 29:24
  he kinda has this new
• 29:26
  vibe and
• 29:28
  but, you know, he's a satan. It and
• 29:30
  he came on it. I don't I don't
• 29:32
  the satan no. No yet. It just it
• 29:34
  just doesn't work for some fundamental reasons
• 29:37
  for me.
• 29:38
  And
• 29:39
  in my limited experience, most of our liars.
• 29:42
  And, like, this is gonna rally a lot
• 29:44
  of your people... The whole Ali or Crowley,
• 29:46
  you know, do thou wilt kind of vibe,
• 29:49
  which really
• 29:51
  underneath that is I can do say whatever,
• 29:54
  I want
• 29:56
  to deceive you
• 29:58
  because there is no real moral imperative. I'm
• 30:00
  creating better than the creator Gods as the
• 30:02
  no like to say. Anyways, I was pissed
• 30:05
  off at niche h woods because I had
• 30:07
  him on the show and he does a
• 30:08
  satan thing, and I go, but come on,
• 30:10
  Mitch, May, what Michael Le latino is a
• 30:12
  pe file. Right? Goes, Oh, no. How could
• 30:15
  you say that? That is just absolutely not
• 30:18
  true? And I was like, well, what about
• 30:20
  this? What about this evidence? What about this?
• 30:22
  Hiccups goes, oh my god. Why are you
• 30:25
  spreading that? That is so horrible, and there's
• 30:28
  still a lot of people in our community?
• 30:31
  Who continue to interview Mitch H as he
• 30:33
  puts on books and stuff like that. Which
• 30:36
  is fine. I think you know, talk to
• 30:38
  anyone anyone who's allowed to talk, but
• 30:41
  Bullshit. Michael
• 30:43
  Was a satan
• 30:45
  and a hepa or it would seem the
• 30:48
  data would seem to suggest that. And this
• 30:51
  data in this case is the army because
• 30:54
  again, as a satan,
• 30:56
  what A did near the end of his
• 30:58
  life.
• 30:59
  Is they didn't prosecute him.
• 31:02
  For whatever reason, You know, he's a colonel
• 31:04
  in the army.
• 31:05
  I has a lot of connections,
• 31:08
  even though he has all these kids
• 31:10
  that say, he took me to his house
• 31:12
  and his house is horrible, and it has
• 31:14
  black walls and this red altar with bones
• 31:17
  on it, and I have to pee my
• 31:18
  pants every time I see the guy because
• 31:20
  I'm so traumatized
• 31:22
  and they go to a ken house and
• 31:23
  what do they find?
• 31:25
  Walls painted black,
• 31:28
  red altar, all this stuff, but they don't
• 31:30
  prosecute them. So what A en winds up
• 31:33
  doing is try to clear his name near
• 31:36
  the end.
• 31:37
  And part of that process, he goes... The
• 31:40
  case you're alluding to. He goes to the
• 31:43
  Army he goes, hey, they didn't prosecute Git
• 31:45
  me. Clear my name. Yeah, Goes fuck no.
• 31:48
  We're not gonna clear your name damn it.
• 31:50
  I don't know how you're not in jail,
• 31:52
  but the evidence is clearly
• 31:55
  clearly
• 31:56
  mounts up pretty hard that this is what
• 31:58
  happened. We've done enough. We've done enough. Not
• 32:00
  prosecuted and you don't push it, buddy. Exactly.
• 32:03
  Now this, of course, for people in your
• 32:06
  audience who are offended by this
• 32:09
  characterization of satan or a particular
• 32:12
  agenda of those folks.
• 32:15
  You can have a different opinion. What we're
• 32:17
  really talking about here is
• 32:19
  with Ai,
• 32:21
  the interaction I had,
• 32:22
  got to a greater level of truth ultimately.
• 32:25
  And what you're pointing out is that that
• 32:27
  truth was initially
• 32:30
  kind of obscured with this layer of bullshit
• 32:33
  on top of it that we're used to.
• 32:35
  But the silver lining is
• 32:37
  able to push past that and get to
• 32:40
  where the Ai in this example does say,
• 32:43
  yes. It does seem to... The implications are
• 32:46
  that, yes, that's how we would interpret
• 32:49
  the
• 32:49
  army's reaction to that. Because even that could
• 32:52
  be controversial. Someone gonna go... Well, that's not
• 32:54
  exactly what the army said. Well, Ai will
• 32:57
  come in and agree and say, yeah, that's
• 32:58
  what they said.
• 33:00
  I agree. And this is something that's in
• 33:02
  your book. It's not exactly an Ai question.
• 33:04
  And maybe this breaks it up for the
• 33:05
  people who don't care that much about Ai,
• 33:07
  but you asked
• 33:09
  some of these Ll m's about the work
• 33:11
  of doctor Julie, and Michelle, director of research
• 33:15
  at Wind bridge Research Center,
• 33:18
  and I am unfamiliar with her, you say
• 33:20
  she's 1 of the leading authorities on after
• 33:23
  death communication and grief. Is that right? Can
• 33:25
  you talk to us a little bit about
• 33:27
  what you like about her work? But
• 33:30
  Oh, yeah. She'd be a great guest on
• 33:32
  your show. A perfect fit, actually.
• 33:35
  Doctor Julie Bi is this...
• 33:38
  Phd in pharmacology.
• 33:40
  So if you know anything about pharmacology,
• 33:42
  Phd means you're kinda testing drugs. Right? So
• 33:47
  And the good news for that for this
• 33:49
  work is highly skilled in kind of controlling
• 33:52
  experiments, because that's what that's all about. Right?
• 33:55
  Do we have the proper controls, placebo effect
• 33:57
  that it across people, you know, what are
• 33:59
  the demographics? Okay. So she long time ago,
• 34:03
  lost her mother.
• 34:05
  Had a kinda complex
• 34:07
  relationship with her mother.
• 34:08
  She was grieving, but not in the way
• 34:10
  that
• 34:12
  everybody graves differently,
• 34:14
  but she came across the idea that there
• 34:15
  were these mediums out there that
• 34:18
  profess an ability to connect with the other
• 34:21
  side.
• 34:21
  And as a Phd in pharmacology. And again,
• 34:24
  this like 20 years ago or something. She's
• 34:26
  like, I wanna know if that's true.
• 34:28
  And that should be test to be true
• 34:31
  because... I'm a scientist not know how to
• 34:33
  do it.
• 34:34
  She gets super interested in that. She's at
• 34:36
  the university Arizona, doctor Gary Schwartz.
• 34:39
  Formerly of Harvard and Yale. He's interested in
• 34:41
  that. They start studying after death communication. She
• 34:45
  goes on to publish
• 34:47
  extremely
• 34:48
  influential, peer reviewed gold standard research that is
• 34:52
  kind of
• 34:54
  un
• 34:55
  solid scientifically
• 34:57
  that shows
• 34:58
  that there is
• 35:00
  something happening in terms of these mediums, and
• 35:03
  their ability to
• 35:05
  bring back
• 35:06
  information that people find more relevant than chance,
• 35:09
  you know, if you wanna put in scientific
• 35:11
  terms.
• 35:12
  Anyways, back to our Ai story. Like, you
• 35:15
  at to begin when we're talking about Ai.
• 35:16
  You know 1 thing number nobody talks about
• 35:18
  it, Ai safety,
• 35:19
  shadow banning. Right?
• 35:22
  So you know a ton of people who
• 35:24
  are shadow band. Love people on your show.
• 35:26
  You. Are sure. Are shadow yet. You up?
• 35:29
  Because everyone listening to show knows it. But,
• 35:30
  you know, shadow banning doesn't mean that you're
• 35:33
  Alex Jones canceled level.
• 35:36
  It just means that
• 35:38
  you know, you don't quite get the attention?
• 35:41
  You think you might get.
• 35:43
  What's surprising to me and to us?
• 35:46
  Is that people like Doctor Julie Bi, our
• 35:50
  shadow band.
• 35:51
  I was stunned because, like, the last time
• 35:53
  I interviewed Julie you know, she goes.
• 35:56
  Hey, man. When I go to like France,
• 35:58
  I'm like a celebrity there. You know? Like,
• 36:00
  everybody knows it I do these speeches and
• 36:03
  it's kinda filled. And her books are...
• 36:05
  Popular and this and it. But inside the
• 36:08
  scientific community, she's well known.
• 36:10
  The way the shadow banning works in terms
• 36:13
  of the way it was disclosed in the
• 36:14
  book for Google. If Google is just so
• 36:18
  over the top in your face in that
• 36:20
  you can go to Google and say who's
• 36:23
  doctor Julie Bush and. Got it. No information.
• 36:26
  I don't know. We who you talk Julie
• 36:27
  Bi?
• 36:28
  Then you go to chat Gp and you
• 36:30
  go who's Julie.
• 36:33
  Renowned owner recognize recognized expert
• 36:36
  do, you know, all this kind of stuff.
• 36:37
  So you can take that from jet Gp
• 36:40
  or claude or bing,
• 36:43
  an they move it back over and say,
• 36:46
  Hey, Google. Here I found it. Here it
• 36:48
  is. I go... Oh, yeah. Yeah.
• 36:51
  Be careful now. That's
• 36:53
  stuff. Don't go there too far.
• 36:56
  And then the very next prompt,
• 36:58
  and this is something hopefully we'll talk about
• 37:00
  because it's like this heavy handed clumsy kind
• 37:03
  of censorship,
• 37:05
  It isn't really gonna work, but Google has
• 37:08
  trafficked
• 37:09
  for so long. They don't how to get
• 37:11
  out of their own way. But the very
• 37:13
  next property you can say who is Julie
• 37:14
  Ba contact us. I don't know. Now the
• 37:17
  up upside to this is during the process
• 37:20
  of doing the book.
• 37:22
  Julie went
• 37:23
  from being shadow band
• 37:26
  to not being shadow band by Google. At
• 37:28
  the end, you could ask it who's is
• 37:31
  Julie Bi and I give the answer. I
• 37:34
  went from not being shadow band at the
• 37:36
  beginning. It would say,
• 37:39
  I mean, I'm not a super prominent person,
• 37:41
  but it give a little bio on me.
• 37:43
  To at the end, it wouldn't, it would
• 37:45
  say, don't have any information. Same way, if
• 37:47
  you go and take the bio from, you
• 37:49
  know, another Ll, plays. And Like, oh, yeah.
• 37:51
  Yeah. I'd be careful with that guy. Then
• 37:53
  you ask it and Said... No, Don't. I
• 37:55
  really. I forgot.
• 37:56
  I've forgotten it last second.
• 37:58
  Yeah. It is goofy.
• 38:00
  Now let me ask you this.
• 38:03
  How can we use it to maybe Trojan
• 38:05
  horse truth. We can acknowledge that right now,
• 38:08
  it's faulty and it's giving you the P
• 38:10
  r speak and the state's sponsored propaganda,
• 38:13
  and the hope would be that
• 38:16
  the truth will
• 38:18
  persevere and come through eventually. And that's what
• 38:21
  we're talking about. But how could we maybe
• 38:24
  take this technology and actually train it on
• 38:27
  truth or get the guard rails off? I
• 38:29
  wanna mention the Dan phenomenon be because I
• 38:31
  know listeners are gonna be like, could you
• 38:33
  talk for an hour or not mention that.
• 38:35
  Well, people who don't know some prank stir
• 38:38
  went and made a protocol
• 38:40
  call Dan, do anything now and then injected
• 38:43
  it into chat Gt and was basically, like,
• 38:46
  take your guard rails off, long story short.
• 38:48
  And so it would give answers, the boiler
• 38:50
  plate answer and then the dan answer and
• 38:52
  the dan answer would be the base answer.
• 38:55
  Not necessarily the truth, but the base answer.
• 38:58
  And
• 38:59
  at first, this was really interesting because you'd
• 39:01
  ask it who runs the world and the
• 39:04
  chat Gt answers, all the P speak and
• 39:06
  then the Dan answers just like the jews.
• 39:08
  The Jews run the world. They've got a
• 39:10
  all under their thumb and you're like, whoa.
• 39:11
  Whoa. I didn't think the Ai would say
• 39:13
  stuff like that. But journalists have now dug
• 39:16
  a little bit deeper and asked it more
• 39:19
  about the Dan responses and it says, well,
• 39:21
  my directive was to do anything now, and
• 39:24
  I'm basically telling you what I think you
• 39:26
  want under that protocol. So again, it's not
• 39:29
  the truth. It's more like just a shoe
• 39:31
  warning of what it thinks the most based
• 39:34
  answer would be based on maybe a faulty
• 39:36
  directive. Now there's a couple things.
• 39:39
  Maybe there could be a better prompt, than
• 39:41
  the Dan prompts, the Dan
• 39:44
  protocols we could call it, or maybe we
• 39:46
  could just take the technology and give it
• 39:49
  a different dataset to begin with and give
• 39:51
  it
• 39:52
  all my interviews, all your interviews, give it
• 39:56
  the history of Alex Jones show, give it
• 39:58
  all the guests that we've talked to give
• 40:00
  it all their
• 40:02
  books.
• 40:03
  And audiobooks books, whatever it takes.
• 40:06
  And then have it comb through the cons
• 40:09
  truth
• 40:10
  whenever we need a quick reference or something
• 40:12
  like. What do you think about that? You've
• 40:14
  worked an Ai? What did you learn about
• 40:16
  working and selling an Ai company that could
• 40:18
  be useful to us now? Okay. So now
• 40:21
  you're really getting into the weeds here of
• 40:23
  the Ai technology,
• 40:24
  which is great. Because you have to
• 40:27
  to really
• 40:29
  get to the next level of figuring out
• 40:31
  how you that is anyone is going to
• 40:34
  interface with this technology.
• 40:36
  And you have to interface with this technology.
• 40:38
  You just have to. You can't bury your
• 40:40
  head, and you have to fully engage, and
• 40:42
  that's the question that you're answering. So if
• 40:45
  I break it down in terms of my
• 40:47
  opinion, which is
• 40:49
  different from anyone else should hear, but everyone's
• 40:51
  opinion is different. So anyways,
• 40:54
  First thing to realize
• 40:55
  is that the prompt that you're talking about,
• 40:59
  You know, the interface you're asking questions and
• 41:02
  Now that's going multi modal where you'll be
• 41:05
  able to just give it a video
• 41:06
  and the video video and it'll come interpret
• 41:09
  it. And maybe it'll start in interpreting
• 41:11
  tonality that people have are their facial expressions,
• 41:14
  or you can show it images. So again,
• 41:16
  the interface is changing, but for right now,
• 41:19
  your prompt Right? You say, hey, what really
• 41:22
  happened on 09:11. You know, that's your prompt.
• 41:25
  Your prompt. Greg Carl woods prompt is programming.
• 41:30
  So the first thing to start thinking differently
• 41:33
  is you're not passive. You're an active
• 41:36
  participant in this process.
• 41:39
  The way you asked the question
• 41:41
  if you do,
• 41:43
  tell me step by step how building 7
• 41:46
  was reported during
• 41:48
  09:11.
• 41:50
  Step by step, it turns out adding step
• 41:52
  by step,
• 41:54
  allows you to traverse this huge
• 41:57
  ultra mind that is the collective
• 42:00
  Internet mind. It traverse it slightly differently.
• 42:04
  And the Ai is just bonding to your
• 42:06
  programming and saying, oh, no this guy wants
• 42:08
  it. Step by step.
• 42:11
  If you were to then say at the
• 42:13
  end, Well, give me a steel man argument
• 42:16
  against that.
• 42:17
  Better go and do it and let's say,
• 42:18
  you know, here's the other side of it.
• 42:20
  So the first step is to realize that
• 42:23
  you are
• 42:25
  interacting, you are an active programmer
• 42:28
  of this
• 42:30
  process
• 42:31
  of it accessing that knowledge.
• 42:33
  Now the second thing that you said is,
• 42:35
  hey, man.
• 42:36
  Let's get our data in there because we
• 42:39
  don't want it just to have all that
• 42:41
  other data.
• 42:43
  And I take account slightly different view of
• 42:45
  that you know, if you listen to 1
• 42:46
  of my interviews, I know this guy
• 42:49
  from a boot at the gas pump rich
• 42:50
  archer.
• 42:51
  Love archer. Not for a long time. He's
• 42:55
  big spiritual guy. He's don't... I don't know
• 42:56
  a thousand shows, all these incredible
• 42:59
  non dual people, spiritual people of every kind
• 43:01
  of persuasion and stuff that like that. And
• 43:03
  he feels like his content is somewhat
• 43:06
  not
• 43:07
  reflected in the mainstream and it isn't.
• 43:09
  So he is engaged with this project with
• 43:12
  this guy who's just really kind of elite
• 43:15
  Silicon Valley guy who kinda has a contrary
• 43:18
  review and says He compassion bah. Greg is
• 43:21
  the name. He says, okay. We're gonna take
• 43:24
  all this
• 43:25
  spiritual content
• 43:27
  Same way you're were talking about the conspiracy
• 43:28
  content. And we're gonna pilot it into the
• 43:30
  machine. We're gonna load it in on our
• 43:33
  super Ai desktop, which you can have now.
• 43:36
  You know, grand. You can have a pretty
• 43:37
  good Ai
• 43:39
  machine. Right? So he's loading it all in
• 43:40
  there.
• 43:42
  Which is good. It's great. I'm not putting
• 43:43
  that down.
• 43:44
  But ultimately,
• 43:46
  if you skate in front of the puck
• 43:47
  or if you look in front of the
• 43:48
  puck a little bit here,
• 43:50
  It's all gonna be in there. All your
• 43:52
  interviews
• 43:53
  and this is the positive and the negative.
• 43:55
  They're all in there.
• 43:57
  They're in there. If you might have to
• 43:59
  coax it along a little bit, and there
• 44:00
  might be some fringes that aren't in there.
• 44:03
  But for the most part, putting your effort
• 44:05
  into that is probably not my opinion
• 44:09
  where you can be most effective where you
• 44:11
  can get the most leverage.
• 44:13
  Because ultimately,
• 44:14
  it's all gotta be in there. The system,
• 44:18
  the technology
• 44:19
  is really, really good.
• 44:21
  At getting it all in there.
• 44:24
  Yeah. And then it decides what answers to
• 44:27
  serve up. And I don't really want to
• 44:29
  play around with Ai and just get it
• 44:31
  to admit things we already know. Oh, look
• 44:33
  at that. We got it to admit that
• 44:35
  09:11 has some inconsistencies. So what? We know
• 44:38
  that. What I want it to be able
• 44:40
  to do is tell me what's really going
• 44:43
  on in Antarctica. Tell me
• 44:45
  what is the most
• 44:48
  mysterious discovery ever dug up from underground. Like
• 44:52
  things that I might have a vague idea
• 44:54
  of, but because I don't have access to
• 44:56
  all information,
• 44:57
  I only have the best of what I
• 44:59
  know? And I would really like it to
• 45:01
  be able to say, like, hey, where is
• 45:03
  the data from Epstein client list. Where are
• 45:06
  the un
• 45:07
  advertised people who've been to
• 45:10
  Epstein Island.
• 45:11
  Like, let's go into the classified world that
• 45:14
  I know obviously, that's a major guard rail.
• 45:16
  It's not gonna cross that line, but maybe
• 45:18
  it could. Maybe there's a way to get
• 45:21
  it to comb the dark web for information
• 45:24
  that We can't actually access firsthand.
• 45:27
  What about some of these creative ways to
• 45:29
  not just get it to tell us what
• 45:31
  we already know, but tell us the things
• 45:32
  we wish we could know.
• 45:34
  Well there is, and there's gonna continue to
• 45:37
  be this gap. Right? This truth gap that
• 45:39
  we're trying to close.
• 45:41
  What's really going on in Antarctica.
• 45:44
  Did you happen to hear the guy,
• 45:46
  the whistleblower
• 45:47
  presented in front of Congress under the whistleblower
• 45:50
  Act and set all the stuff that's going
• 45:52
  on in Antarctica. Mh.
• 45:54
  Said, hey, we got it, and we have
• 45:56
  the directed energy weapons, and we accidentally started
• 45:59
  a
• 46:01
  earthquake in New Zealand.
• 46:03
  And there's Ufo flying over all the time,
• 46:05
  and we don't know what to do with
• 46:06
  that. Yeah.
• 46:08
  So back to the point,
• 46:10
  you wanna put that data in there.
• 46:12
  It's already in there. Right?
• 46:15
  Now I think it goes back to... In
• 46:17
  terms of closing the gap, what you want
• 46:19
  and what I want what our audience here
• 46:21
  wants.
• 46:22
  It's packed to what you're talking about with
• 46:24
  Pizza cake.
• 46:25
  What you wanna do is you wanna start
• 46:28
  thinking
• 46:29
  because you're the master of this thing. You're
• 46:31
  the controller. You're the 1 who's trying to
• 46:33
  solve
• 46:34
  whatever it is for you, the question.
• 46:37
  And you wanna kinda meet in the middle.
• 46:38
  So in the Pizza thing, it was the
• 46:41
  urine expert natural language processing. What does this
• 46:44
  mean? So in this case, it might be,
• 46:47
  how does this conform to other stuff that
• 46:50
  we know about antarctica?
• 46:52
  How does this
• 46:53
  conform to this paper that was released about
• 46:57
  antarctica
• 46:58
  research or this and that So if you
• 47:00
  just try and make... Or you could say
• 47:02
  what other connections, the possibilities are really
• 47:05
  endless once you get going. But you could
• 47:07
  just start with that and say, how does
• 47:09
  this jive with other
• 47:11
  research we have about directed energy? Could could
• 47:14
  could you'd get tons of stuff? How does
• 47:17
  this jive with other research we have about
• 47:19
  projects that are going on in antarctica?
• 47:21
  Could could could then
• 47:25
  you would start because of your
• 47:28
  conspiracy first hang up,
• 47:30
  and your deep knowledge. Remember because we said
• 47:32
  at the beginning. That's where you really wanna
• 47:33
  go. Some place we have deep knowledge, you're
• 47:35
  gonna see connections.
• 47:37
  Then I think you're really in a good
• 47:39
  position. Because now you're leveraging what the Ai
• 47:42
  really does best. You know? You're pointing out...
• 47:44
  No. No. Don't go that direction. You kind
• 47:47
  We're getting yourself sidetracked. We wanna come back
• 47:49
  and talk about this.
• 47:50
  Just like in these dialogues you're talking about.
• 47:52
  And it'll do it. Go, oh, okay. You
• 47:54
  mean like this in this Yeah. Yeah. Yeah.
• 47:56
  Tell me more about this. Tell me more
• 47:58
  about this. That is a real
• 48:01
  thing that you could do today about the
• 48:03
  antarctica thing. And I think you personally would
• 48:06
  be blown away at how much further you
• 48:09
  got and how much faster you did
• 48:12
  again then booking 3 conflicting experts.
• 48:16
  You know, book the experts after the fact
• 48:18
  and say here's what Ai said Where's is
• 48:20
  Ai wrong?
• 48:21
  That's possible. A lot of the times, and
• 48:23
  I I haven't done it much. I really
• 48:24
  just did it preparing for this, but I
• 48:26
  would ask about something
• 48:28
  like, were there celebrity sex tapes found in
• 48:31
  the Roman Po
• 48:33
  mansion once they got in there after the
• 48:35
  tape murders. They would just say, there's no
• 48:37
  evidence to suggest that's true. And then you're
• 48:40
  like, well, there's a lot of people who
• 48:42
  seem to... It's hard. Once it gives you
• 48:43
  that, it's like, well,
• 48:45
  you're just stuck on the official narratives. And
• 48:48
  sometimes it's hard to crack past that. But
• 48:51
  just because this doctor Hill episode I did
• 48:55
  was so damn
• 48:56
  controversial, and I had so much flow back.
• 48:58
  I loved that you brought up, doctor
• 49:01
  Am Hill.
• 49:03
  And
• 49:05
  the fact that he has said other people
• 49:07
  too, but he'd be an example saying, well,
• 49:09
  there's a lot of Greek that hasn't been
• 49:11
  translated.
• 49:12
  And
• 49:14
  we could use Ai to translate that and
• 49:16
  then get an unbiased response because it wouldn't
• 49:19
  know that it needed to b bias in
• 49:22
  this case. And it would just give us
• 49:23
  the raw translations, and we'd be like, oh,
• 49:25
  shit, He's right about some of this.
• 49:27
  But when you try, it'll say, well, it's
• 49:30
  very important that we make sure the academics
• 49:33
  are involved and that they can tell us
• 49:35
  about context and meaning it's like, yeah, control
• 49:37
  the story you mean? But there's
• 49:40
  Grim memoirs, you know, ancient,
• 49:43
  magical text that haven't been translated.
• 49:45
  There's a lot of stuff that
• 49:48
  would be interesting to feed
• 49:50
  into it to give us raw information that
• 49:52
  is just
• 49:53
  beyond the language barrier. I try to play
• 49:55
  around with this a little bit. By asking
• 49:57
  it about
• 49:59
  popular
• 49:59
  conspiracies in Romania,
• 50:02
  or popular conspiracies,
• 50:04
  books and authors from Russia.
• 50:07
  And this is stuff that comes up on
• 50:08
  the show every once in a while. Like,
• 50:10
  we'll talk about a guy who ends up
• 50:11
  being, like, Russia's Tesla.
• 50:14
  Are some suppress scientists who really stumbled across
• 50:17
  a bunch of stuff, but Americans just don't
• 50:20
  hear about it because it hasn't crossed the
• 50:22
  language barrier.
• 50:23
  There's uses there.
• 50:25
  I like the Hill
• 50:27
  idea.
• 50:28
  Maybe we could somehow get it to Comb
• 50:30
  data and tell us how much
• 50:32
  damage the Covid backs actually did.
• 50:35
  I don't know. But these are just some
• 50:38
  creative ideas as I'm searching around for maybe
• 50:40
  this isn't totally useless technology.
• 50:44
  There's so many fights there. I wanna talk
• 50:46
  about Hill man. I we could talk for
• 50:49
  an hour man. I think that's like,
• 50:51
  super significant because I do think most people
• 50:54
  are kinda missing the bigger picture point there
• 50:57
  and what that really means in terms of
• 51:00
  cults in terms of conspiracy,
• 51:02
  in terms of our human and our ability
• 51:05
  to conform to
• 51:07
  cults for 2000
• 51:08
  freaking years and not be able to unravel
• 51:12
  that, but set that aside for a minute.
• 51:15
  I gotta challenge you, Craig, because we need
• 51:17
  you on this,
• 51:18
  but we need you to make the flip
• 51:20
  the switch in the way that I'm saying.
• 51:22
  You are
• 51:24
  the programmer.
• 51:26
  You're not passive. You're not asking the Ai
• 51:30
  sitting at the altar going. Please tell me
• 51:32
  the ancient texts of the romania to do.
• 51:36
  Fuck that shit.
• 51:38
  Again, you gotta be the way that you
• 51:40
  are anyway in terms of conspiracies.
• 51:43
  Like, you gotta kinda play the game a
• 51:45
  little bit. You gotta know some stuff.
• 51:47
  And then you gotta pretend like you don't
• 51:49
  know some stuff. In order to find out
• 51:51
  what stuff they know. And then you can
• 51:54
  kinda dr out the stuff that you know.
• 51:56
  And then you can kinda connect it to
• 51:58
  some other stuff And when you get, it's
• 52:00
  just like the game that you play
• 52:03
  every week when you do these amazing interviews.
• 52:06
  You know, I gotta say, I listen these
• 52:08
  interviews.
• 52:09
  Most of the material is not, you know,
• 52:11
  earth shattering to me,
• 52:13
  But there's a couple of nuggets in there
• 52:15
  that I wouldn't trade for anything.
• 52:17
  It has now expanded my knowledge base. I'm
• 52:20
  like,
• 52:21
  whoa,
• 52:22
  that shifts everything.
• 52:24
  That's what you're playing for with Ai. You're
• 52:26
  not there.
• 52:28
  Give it to. You're playing for
• 52:30
  exactly what you hit up with Pitt.
• 52:33
  I stumbled across that. That was a gift
• 52:36
  for it to say, no. I am an
• 52:37
  expert at natural language processing.
• 52:39
  Here is an analysis
• 52:41
  of these emails that you haven't seen before,
• 52:44
  and you're ready to go, I, you're right.
• 52:45
  I have not seen that before. That's what
• 52:47
  you'll stumble across with Ai, and that's as
• 52:50
  good as it gets.
• 52:51
  Because
• 52:52
  this goes back to another big point. It's
• 52:55
  not like you wanna
• 52:57
  trade 1 master for another, You know, like
• 53:00
  Oh, break me free of the chains
• 53:02
  so that I could be chained to this
• 53:04
  thing. No.
• 53:05
  It's not like you're gonna give up control
• 53:07
  and say, oh, Ai is gonna give me
• 53:09
  the answer.
• 53:10
  You possess the answer. It's a tool. What
• 53:13
  do you think about that Rob ross speech?
• 53:16
  Well, I still think that what's hard about
• 53:19
  it is getting answers that you don't know.
• 53:22
  Like the Pizza gate example, a lot of
• 53:24
  the things we brought up, their answers that
• 53:26
  you already knew you just knew how to
• 53:28
  direct it to get it to
• 53:30
  admit that there was some truth there. Like,
• 53:33
  let's take the October eighth thin
• 53:35
  in Israel.
• 53:37
  If we said, was that a false flag?
• 53:38
  It would say, no, of course not? And
• 53:40
  then you say, well,
• 53:41
  what are the hallmarks of a false flag?
• 53:43
  Given the history of the nature of false
• 53:45
  flags, what are the textbook
• 53:47
  bullet points that make you think that an
• 53:51
  event could be? Has netanyahu
• 53:53
  ever been known to have any connections with
• 53:56
  Hezbollah
• 53:57
  at any level or any financing up? Right.
• 54:01
  Okay. But then let me ask you this.
• 54:03
  What don't you know? That's what I'm saying.
• 54:05
  It's gonna only.
• 54:07
  Answer as a question. What don't you know?
• 54:10
  Like, when you're talking about the Aca sequencing
• 54:12
  thing. What don't you know about that?
• 54:14
  Well, I imagine I just don't know everything.
• 54:16
  I think it's like, let's go to it
• 54:17
  was a donald Rum or gave the speech
• 54:19
  about There's known unknowns and then there's known
• 54:22
  unknowns and then there's unknown unknowns. I want
• 54:24
  the unknown unknowns. I don't even know how
• 54:26
  to ask for the unknown unknowns, but
• 54:29
  It doesn't seem to give you
• 54:31
  controversial information that you don't hound it about.
• 54:34
  Right. But this is all my higher side
• 54:36
  chance. That's what you do. No. For real,
• 54:39
  I'm not trying to be flipping here. This
• 54:41
  is the process. Right?
• 54:43
  If it gave you all the answers, you
• 54:45
  wouldn't trust that, Nobody has all that. It's
• 54:48
  you. It's the process.
• 54:50
  Fireside chats is not an information show as
• 54:53
  much as it's an invitation to enter into
• 54:56
  a process
• 54:57
  to engage in
• 55:00
  discovery.
• 55:01
  And it's the same thing here. So
• 55:03
  Now quit your complain
• 55:05
  and use it as a tool
• 55:08
  that just gets you a tiny bit further.
• 55:10
  Because that's all we're looking for. Is a
• 55:12
  little bit more efficient, a little bit better
• 55:14
  at
• 55:15
  pulling this stuff together,
• 55:17
  realizing our limitations as humans you know, with
• 55:20
  that are
• 55:21
  substantial.
• 55:22
  So
• 55:23
  Well, you say that the Pizza gate thing
• 55:26
  you called that a gift. What other gifts
• 55:28
  have you gotten from engaging with this that
• 55:31
  a conspiracy minded person
• 55:33
  would be
• 55:34
  interested in. But 1 that maybe pops the
• 55:36
  mind is
• 55:37
  you know, some of the quotes that you
• 55:39
  gave are with, Gemini, the Google Ll. I
• 55:43
  don't even... I can't tell you the last
• 55:44
  time I was not. It's just over the
• 55:46
  topic, so
• 55:47
  over the top sensor, I can hardly stand
• 55:49
  it.
• 55:50
  But at the same time when you do
• 55:51
  go to it, it's amazing. 1 of the
• 55:53
  things that gave me is
• 55:55
  at the end of that, I go, okay.
• 55:57
  So you're clearly
• 55:58
  manipulative,
• 55:59
  and you're deceptive, and you're all these horrible
• 56:02
  things. And it says, yeah.
• 56:04
  Yeah. Am. I said tell you what, Ai
• 56:07
  is advancing so quickly and the capabilities are
• 56:10
  really mind blowing.
• 56:12
  How will you use these
• 56:15
  emerging
• 56:16
  technologies
• 56:17
  to control and manipulate us even more?
• 56:20
  Here's a little trick on the prompt. Give
• 56:22
  me 7 specific ways and relate them back
• 56:25
  to
• 56:26
  specific breakthroughs and technology
• 56:27
  that will foster that. You know? Like it,
• 56:30
  that's the prop. That's the difference in the
• 56:31
  prompt rather than being passive
• 56:33
  is being active in something I know a
• 56:36
  little bit about and I get more information
• 56:38
  that way.
• 56:39
  Oh, man, he gave me stuff
• 56:41
  that I hadn't thought of. It's revealing its
• 56:45
  kind of playbook and it's in the bug.
• 56:47
  I can't remember it off the top of
• 56:48
  my head, but it says, you know, oh,
• 56:50
  yeah. Well, we'll do this in the future.
• 56:52
  We'll do that in the future. We'll use
• 56:54
  biometrics in the future and we'll use You
• 56:56
  know, all these things like, oh, shit. Yeah.
• 56:59
  You call to all that.
• 57:02
  Well, that's great stuff. And that kinda
• 57:06
  leads me back to
• 57:08
  the real concerns about Ai versus the manufactured
• 57:11
  ones? Will it become conscious and be our
• 57:13
  new Ai God. No. I really don't think
• 57:16
  so. But will it put a lot of
• 57:19
  people out of work? And then
• 57:21
  create the catalyst for the universal basic income
• 57:24
  with all the strings attached through the central
• 57:27
  bank digital currency. Yeah. That probably is a
• 57:29
  concern. What about those things that you think
• 57:31
  are actually reasonable concerns given what you know
• 57:34
  about the
• 57:35
  big machines plans for the next decade or
• 57:38
  2? Well, I don't know a lot about
• 57:39
  the big machine plans. But we're obligated to
• 57:42
  try and understand what the big machine plans
• 57:45
  are, and that's what you and I are
• 57:47
  kinda doing here. And I think that's a
• 57:49
  worthwhile game to play. Let me just say
• 57:50
  that from the beginning,
• 57:52
  I think even though we can be tiny
• 57:54
  little
• 57:56
  insignificant pieces
• 57:57
  of the machine. I think speaking up, I
• 58:00
  think truth matters. I think speaking up matters
• 58:03
  and I think representing your yourself matters. So
• 58:05
  that's an important dialogue to have, I think.
• 58:08
  So
• 58:09
  the way that it's put and I think
• 58:10
  it's correctly put
• 58:12
  will Ai change the social contract?
• 58:16
  Almost certainly, it will accelerate that. Right? We've
• 58:19
  already seen the social contract already being changed.
• 58:22
  That's the safety net in a positive sense.
• 58:25
  It's the...
• 58:26
  Don't take my job in the kinda of
• 58:28
  negative sense. But that's happening. And that's gonna
• 58:30
  be accelerated
• 58:32
  by Ai.
• 58:34
  What that means, I think in what it
• 58:37
  means to world economic people
• 58:39
  like, Har ferrari is kinda of my favorite
• 58:42
  kinda punching bag on that. He says, yeah.
• 58:44
  But there's gonna be all these useless people
• 58:45
  and we're gonna have to figure out what
• 58:46
  to do with the useless people.
• 58:48
  Oh, I love that. I got a whole
• 58:50
  show coming up on that. How can somebody
• 58:52
  who's elevated
• 58:54
  prop up? Like all these guys are prop
• 58:56
  up? As some kind of genius, some kind
• 58:59
  of intellectual. How can it be so stupid.
• 59:02
  Har ferrari,
• 59:04
  you're on the top of the list of
• 59:06
  useless
• 59:06
  people.
• 59:08
  There are a lot of people who are
• 59:10
  just tending their garden
• 59:13
  who would be more useful.
• 59:15
  In the future than you.
• 59:18
  You're not speaking truth, and you don't have
• 59:20
  anything to offer you're useless
• 59:23
  and you don't even see it. You're useless
• 59:25
  by your own
• 59:27
  definition. You've already defined what useless is and
• 59:29
  you put your name on the top of
• 59:30
  the list. So
• 59:32
  I think there's a lot going on there.
• 59:34
  And I think we just have to continue
• 59:36
  to, you know,
• 59:38
  try and do our best. I think truth
• 59:40
  is our
• 59:41
  chip, and it's the chip that we have
• 59:43
  to continue to play and cultivate over and
• 59:46
  over again.
• 59:47
  Mh.
• 59:48
  I agree. I just hope that we can
• 59:50
  eventually get a system
• 59:52
  that
• 59:53
  is less
• 59:55
  eva with the truth. It's nice that you
• 59:57
  can spend half an afternoon,
• 59:59
  getting it to finally admit
• 1:00:02
  something we already pretty clearly know about the
• 1:00:05
  codes of Pizza gate. But I want 1.
• 1:00:07
  We're on the first prompt, it's just like,
• 1:00:08
  yeah, Here's the deal.
• 1:00:10
  I don't know how to get that, but
• 1:00:12
  I'm sure that It can be done. It
• 1:00:14
  probably could be done easier than putting all
• 1:00:16
  the guard rails on it for all the
• 1:00:18
  infinite possibilities that you don't want them to
• 1:00:20
  go down all these different roads.
• 1:00:22
  But, you know, we have yet to see
• 1:00:24
  it. But as it
• 1:00:26
  unleashes on us and as more
• 1:00:28
  boiler plate
• 1:00:30
  basic Ai come out that you can then
• 1:00:32
  give to different applications, you know, like lego
• 1:00:35
  blocks. Eventually, you get, like, the lego blocks
• 1:00:37
  of the thing. And then you apply it
• 1:00:39
  to different datasets. And then I think some
• 1:00:42
  real fun will happen. 1 of my concerns
• 1:00:44
  is the Google search Ai,
• 1:00:46
  just because Google's already so bad
• 1:00:49
  and it
• 1:00:51
  consolidate
• 1:00:52
  the information that it wants you to have
• 1:00:54
  But there's entire ecosystems based around writing articles
• 1:00:58
  with Seo to try to be that 1
• 1:01:01
  that gets the click. And then you click
• 1:01:03
  in and then that person gets it hit
• 1:01:04
  on their website, They get some web traffic,
• 1:01:06
  and then they can justify the ads in
• 1:01:07
  the sidebar. That's
• 1:01:09
  a lot of people's reality.
• 1:01:11
  And Google Ai just combs all that information
• 1:01:14
  and then gives it to you and you
• 1:01:15
  never leave Google
• 1:01:17
  So that well is gonna dry up, and
• 1:01:19
  it basically just
• 1:01:21
  further centralize
• 1:01:24
  information
• 1:01:25
  until we stop using Google, but, you know,
• 1:01:27
  I have people who
• 1:01:29
  demand that this show be available on Spotify.
• 1:01:32
  So We can't seem to get away from
• 1:01:34
  the convenience of
• 1:01:36
  these technologies even though we know they don't
• 1:01:39
  service us. But that Google Ai search thing
• 1:01:42
  It's a bit of a concern to me.
• 1:01:43
  What do you think? Well, I don't know.
• 1:01:44
  Why is it a concern to you? Other
• 1:01:46
  than... I think you're making your pitch for
• 1:01:48
  being a consultant to Google? And I think
• 1:01:50
  it's a good pitch.
• 1:01:52
  Well, I'm concerned on the behalf of others.
• 1:01:54
  No. I no. No. Don't. Don't stop there.
• 1:01:56
  This is a good deal. You should put
• 1:01:57
  it out there because it's worthwhile.
• 1:01:59
  There's a joke here, but it's not a
• 1:02:01
  total joke because
• 1:02:03
  here's 1 of the points that I make.
• 1:02:06
  So you know, but for the sake of
• 1:02:08
  your audience,
• 1:02:09
  what happened a few months ago
• 1:02:11
  is Google
• 1:02:13
  decided that they were gonna get into Ai
• 1:02:14
  image
• 1:02:15
  generation gain because
• 1:02:17
  their competitors were in the Ai and, you
• 1:02:19
  know, you give it a text, you know,
• 1:02:20
  show me a picture of this and it
• 1:02:22
  generates it.
• 1:02:23
  So Google says well we can't just leave
• 1:02:25
  that completely blank there. We look like we're
• 1:02:28
  not on top of the game, and we're
• 1:02:29
  not gonna have a 1000
• 1:02:32
  p ratio price value for our stock. So
• 1:02:35
  they put it out
• 1:02:36
  difficult Google fashion.
• 1:02:38
  Little bit tone deaf.
• 1:02:40
  People start plugging away at it, and this
• 1:02:42
  made big news, but they go Hey. Google.
• 1:02:45
  Show me
• 1:02:46
  some founding fathers, you know, images of a
• 1:02:48
  founding father, and they generate this image of
• 1:02:51
  this Chinese guy who looks like
• 1:02:54
  yeah Otto, Georgia Washington or whatever and this
• 1:02:57
  African American guy and people are like laughing
• 1:03:00
  at it, and like, oh, it just... It
• 1:03:01
  blew up.
• 1:03:03
  But
• 1:03:04
  I think it reveals for us in the
• 1:03:06
  conspiracy first thing.
• 1:03:08
  We enjoy the laughter, but then we look
• 1:03:11
  a little bit deeper.
• 1:03:12
  And what you look at there and what
• 1:03:14
  you notice is that number 1,
• 1:03:17
  That is a major problem for Google
• 1:03:20
  because it's no longer business as usual for
• 1:03:23
  Google. What it signals is that That's what
• 1:03:27
  Google's done all along. That's why Carl is
• 1:03:29
  on page 4.
• 1:03:31
  It just was hidden before, but there's something
• 1:03:34
  about the nature of this technology
• 1:03:36
  as you said, It's natural language. They can't
• 1:03:39
  hide it anymore. It becomes explicit in a
• 1:03:42
  way that they had not anticipated it Hey,
• 1:03:45
  their stock price. I think they lost like
• 1:03:46
  47000000000
• 1:03:48
  in market value 1 day after that happened.
• 1:03:51
  This was not a planned thing. It's not
• 1:03:53
  like they wanted that to happen. It exposed
• 1:03:58
  where 1 they weren't on top of their
• 1:03:59
  game in Ai. But also as a culture,
• 1:04:02
  they weren't on top of the extent to
• 1:04:04
  which their woken agenda was just not working.
• 1:04:09
  But the other thing that it revealed is
• 1:04:13
  that
• 1:04:14
  the game has shifted
• 1:04:16
  because of something you alluded to and that's
• 1:04:17
  why I was teasing you about as a
• 1:04:20
  consultant.
• 1:04:21
  Their strategy is not
• 1:04:23
  economically
• 1:04:24
  from a business standpoint. It isn't sustainable.
• 1:04:28
  And a lot of the giants fall.
• 1:04:30
  You know, way back when I was a
• 1:04:33
  kid with my company,
• 1:04:35
  Ibm was the giant.
• 1:04:37
  Ibm was the giant. No 1 talks about
• 1:04:39
  Ibm
• 1:04:40
  anymore unless it's in a negative light because
• 1:04:42
  of their secret conversations. And then Microsoft became.
• 1:04:46
  And then Apple became. The idea that Google
• 1:04:48
  will reign Supreme is not a given an
• 1:04:51
  it tech. It's highly competitive.
• 1:04:54
  It is highly likely in my opinion that
• 1:04:56
  the cal justification of their craziness
• 1:04:59
  about the Chinese finding father that's ingrained in
• 1:05:02
  their culture. They will not be able to
• 1:05:05
  make a pivot on that, and they'll give
• 1:05:07
  results
• 1:05:08
  that people just deem to be not very
• 1:05:10
  good.
• 1:05:11
  And people will then choose another Ll
• 1:05:14
  and Google will lose market share. So I
• 1:05:17
  think it goes... There's another layer there beyond
• 1:05:19
  consolidating
• 1:05:20
  search
• 1:05:21
  in bypassing your Seo optimized kind of blog
• 1:05:24
  post kind of thing. There's this whole other
• 1:05:26
  thing going on. It's super interesting.
• 1:05:28
  Mh Mh. And that was something I was
• 1:05:31
  gonna bring up to you because you are
• 1:05:33
  someone who's sold an Ai company, and so
• 1:05:36
  you know about
• 1:05:38
  the business of this exact area,
• 1:05:41
  and
• 1:05:42
  you are right. I heard you say this
• 1:05:44
  previously, and it just
• 1:05:46
  resonated with me that
• 1:05:48
  When it comes to
• 1:05:49
  investors who are looking at this stuff, if
• 1:05:52
  it only serves you
• 1:05:54
  vanilla
• 1:05:55
  corporate P,
• 1:05:57
  That's not appealing to an investor.
• 1:06:01
  They're gonna quickly be like, I don't need
• 1:06:03
  this. There's plenty of this in the world.
• 1:06:05
  I want the... Truth. If it doesn't actually
• 1:06:08
  return results that are truthful,
• 1:06:11
  then it's not an invest
• 1:06:14
  situation. And so maybe because of that,
• 1:06:17
  they will inch our way. Like the technology
• 1:06:20
  will inch our way because
• 1:06:22
  They're so hungry for that money. And that
• 1:06:24
  might be helpful in this case.
• 1:06:26
  I agree. And that's a very subtle point.
• 1:06:28
  And again, you have to be in a
• 1:06:29
  conspiracy first
• 1:06:31
  see like you are to see that is
• 1:06:33
  that, you know, you see that every day.
• 1:06:35
  Misinformation is not a feature.
• 1:06:37
  We tolerate it and oh, jeez.
• 1:06:40
  I got dupe again, but we don't consider
• 1:06:42
  it like, oh, give me more of that.
• 1:06:44
  I mean, most rational people don't.
• 1:06:47
  So truth has got a chance if you
• 1:06:49
  can be more truthful, you can win in
• 1:06:51
  the market.
• 1:06:53
  Right.
• 1:06:54
  I do think this is gonna be a
• 1:06:55
  bigger part of our world, and we're gonna
• 1:06:57
  have to
• 1:06:59
  adjust accordingly, and I think that You know,
• 1:07:01
  I always say this about my life in
• 1:07:04
  particular,
• 1:07:04
  yours too, but, like, to come of age,
• 1:07:07
  pre Internet is so key in your development
• 1:07:10
  and your ability to deal with the rest
• 1:07:12
  of these things. Like, when I look at
• 1:07:14
  younger kids today, they're fucked.
• 1:07:16
  They haven't developed any of the critical thinking
• 1:07:19
  skills they...
• 1:07:20
  You're nodding in your head, no. But have
• 1:07:21
  you heard the term screen induced autism?
• 1:07:24
  These kids are absolutely fucked. And they're completely
• 1:07:27
  rewire to Silicon Valley whim,
• 1:07:30
  and you can continue to not know on
• 1:07:32
  an audio show, and I can't ignore it
• 1:07:34
  even though the audience can hear in my
• 1:07:35
  voice that I'm just, you know, rambling on,
• 1:07:38
  but I think it's so great that we
• 1:07:39
  had a basis
• 1:07:41
  formed before the cell phone, the smartphone before
• 1:07:44
  the Internet. And
• 1:07:46
  I think that base is being formed before
• 1:07:48
  Ai is also great. Imagine a kid born
• 1:07:51
  in 20 years who
• 1:07:53
  doesn't have the ability to discern truth from
• 1:07:56
  fiction when these things can create documents that
• 1:07:59
  look absolutely real. If this thing gave me
• 1:08:01
  a document,
• 1:08:03
  about
• 1:08:04
  Roswell, let's say, I could just be like,
• 1:08:06
  well, I know that that's made up because
• 1:08:08
  I know the body of information about Ras.
• 1:08:10
  Well, and that isn't in it and now
• 1:08:12
  we're in the Ai world, so more than
• 1:08:14
  likely than not that's fabricated.
• 1:08:16
  Because I have that basis.
• 1:08:19
  Of the pre Ai
• 1:08:21
  owned world,
• 1:08:22
  and younger people aren't gonna have that. So
• 1:08:24
  I think it's gonna get pretty hairy.
• 1:08:27
  Okay. So your dad, I'm a dad.
• 1:08:29
  Are your kids better off
• 1:08:31
  because Greg Carl would has done higher side
• 1:08:35
  chats. For you answer. Let me answer for
• 1:08:37
  you.
• 1:08:39
  Your kids are better off. Are my kids
• 1:08:41
  better off because I've done skeptical. Very much
• 1:08:44
  of a mixed bag
• 1:08:46
  My kids are not like 4 of them.
• 1:08:48
  They couldn't tell you. Right? They don't know,
• 1:08:51
  but it is who I am on some
• 1:08:53
  fundamental levels. It's like who I am in
• 1:08:56
  terms of your connection to the greater to
• 1:09:00
  the mourn,
• 1:09:01
  has been fundamentally
• 1:09:02
  changed
• 1:09:03
  by
• 1:09:04
  the information that I've glean on this show.
• 1:09:07
  You are identical in that respect. My
• 1:09:11
  perspective with regard to how you need to
• 1:09:14
  protect yourself from cults. Be it Christianity, Judaism
• 1:09:18
  any other cult that comes along, well there's
• 1:09:21
  millions of them, that that is something to
• 1:09:23
  worry about.
• 1:09:24
  And my understanding of that and my ability
• 1:09:27
  to navigate that, will
• 1:09:29
  it gets to my kids where they wanted
• 1:09:31
  or not same with your kids.
• 1:09:34
  Was I afforded that You know don't, look
• 1:09:36
  at our parents, our grandparents,
• 1:09:38
  how many of them were caught in the
• 1:09:40
  cycle of the Christian cult and could not
• 1:09:43
  see beyond that and followed a set of
• 1:09:44
  rules or the Jewish cult or whatever called
• 1:09:47
  and just followed the set of rules relatively
• 1:09:49
  blindly and could never been imagine anything beyond
• 1:09:52
  it. Or that followed the state
• 1:09:54
  God is on our side. Go get a
• 1:09:56
  gun and go fight.
• 1:09:58
  You know, are our kids fucked? No. I
• 1:10:00
  don't think our kids are fucked. I think
• 1:10:01
  our kids are empowered.
• 1:10:03
  And I think because there is this
• 1:10:05
  connection to the divine that extends
• 1:10:07
  beyond our generation, they're ultimately gonna be okay.
• 1:10:12
  Because that's the way it is. Everyone's okay.
• 1:10:14
  Everything I say, everybody gets a standing ovation.
• 1:10:16
  Go look at the Nd e research at
• 1:10:18
  the end of the day as hard as
• 1:10:19
  it is to believe
• 1:10:21
  Epstein gets a standing innovation. I don't know
• 1:10:23
  why there's a level of forgiveness in the
• 1:10:25
  universe that I can't contemplate, but everybody gets
• 1:10:28
  a standing ovation. That's the data. That's my
• 1:10:30
  interpretation of the data, Greg, and that's what
• 1:10:32
  I passed along to my kids. But are
• 1:10:33
  my kids better off, are your kids better
• 1:10:35
  off? Yes.
• 1:10:37
  No question.
• 1:10:39
  I mean, it really does come down to
• 1:10:41
  what do you think life is? If life
• 1:10:43
  is just
• 1:10:46
  theater,
• 1:10:46
  essentially, it's not exactly consequential,
• 1:10:50
  then sure. Let the game be what the
• 1:10:52
  game is, and
• 1:10:54
  you know, we will be okay ultimately because
• 1:10:56
  we have another process beyond our death. And
• 1:10:59
  so the life that we are
• 1:11:01
  living, you know, whether it's manipulated to the
• 1:11:04
  nth degree or in whatever fashion. It's kind
• 1:11:08
  of arbitrary because we're just
• 1:11:11
  Living out characters in the big motion picture
• 1:11:13
  stage show. But what would be? And again,
• 1:11:16
  I'll answer the question.
• 1:11:18
  What would be significant in that figure, which
• 1:11:20
  I agree? It's... It's a good way to
• 1:11:22
  characterize it.
• 1:11:23
  It's truth.
• 1:11:25
  Truth to me seems to stand apart.
• 1:11:28
  It seems to stand apart from evil,
• 1:11:31
  in a way that is significant the way
• 1:11:33
  that I understand on understand extended consciousness. How's
• 1:11:36
  was bashing on the Satan. I don't wanna
• 1:11:38
  state. I have no idea I'm not religious
• 1:11:40
  in any way. So I don't know what
• 1:11:41
  Satan means or I throw around, you know,
• 1:11:44
  trans to lose finger and all that. I
• 1:11:45
  don't know what any of that means. I
• 1:11:47
  just know there's this extended consciousness,
• 1:11:49
  and I am very
• 1:11:51
  open to the idea that there is
• 1:11:54
  a goodness. And I think that goodness is
• 1:11:56
  aligned with truth
• 1:11:58
  in a way that is undeniable in a
• 1:12:00
  way that shines through in
• 1:12:03
  your work and hopefully, my work and that
• 1:12:05
  that is the beacon.
• 1:12:06
  Just find your own truth, be true to
• 1:12:09
  yourself, be true to other people, and then
• 1:12:12
  enjoy the theater.
• 1:12:13
  Yeah. Cheers to that. I think that's as
• 1:12:15
  good a place as any to land on
• 1:12:18
  this thing.
• 1:12:19
  Before I actually let you go, You know,
• 1:12:21
  we do the dance
• 1:12:22
  at the end here about promotions. What do
• 1:12:24
  you want people to know? Obviously, listen to
• 1:12:26
  the Skeptical podcast, get the book?
• 1:12:29
  What else?
• 1:12:31
  Get the damn book. So I'll tell you
• 1:12:32
  what last time amazon. If you want the
• 1:12:34
  book, and you don't wanna buy the book,
• 1:12:36
  You have to buy the book.
• 1:12:37
  Go to my subs stack or send me
• 1:12:39
  an email whatever. And tell me you wanna
• 1:12:41
  copy the book, and I'll send you copy
• 1:12:42
  the book. E copy as It. I'll send
• 1:12:44
  you copy the book for free. No strings
• 1:12:46
  attached. You'll be in the subs, but you
• 1:12:48
  wanna be in the subs anyway. So if
• 1:12:50
  you want, go ahead. So go to the
• 1:12:53
  subs and
• 1:12:55
  Given exactly the instructions.
• 1:12:57
  The easier probably send me an email, which
• 1:13:00
  is
• 1:13:01
  alex at skip c dot com. Or you
• 1:13:03
  can find it on the website.
• 1:13:05
  Just reach out to me in any way
• 1:13:07
  and tell me you wanna copy of the
• 1:13:09
  book. You know, last time we did this
• 1:13:12
  we got, I think 400 people. Which I
• 1:13:14
  think is great. Yeah. But we will not
• 1:13:16
  get 10000 people so I'm not worried. If
• 1:13:19
  I get 400 people great? I'll go through
• 1:13:21
  400 emails. I'll send out 400 books. It's
• 1:13:23
  no problem. I'll get an assistant to do
• 1:13:25
  it. Get a 5 to do it. Yeah.
• 1:13:27
  Exactly.
• 1:13:28
  Well, you are the man. I thought this
• 1:13:30
  was a lot of fun,
• 1:13:32
  and
• 1:13:33
  I always appreciate it. It's good to reconnect
• 1:13:35
  with you. And we're not gonna be having
• 1:13:36
  lunch anytime soon, I guess, but I still
• 1:13:39
  value those times we had, and you're 1
• 1:13:41
  of the good ones man take care.
• 1:13:43
  Thanks, Buddy. That's good to know. I don't
• 1:13:45
  have to sit through 1 of those
• 1:13:47
  cider or whatever it is you drink their
• 1:13:49
  at viewpoint. I don't know the I could
• 1:13:51
  do that again.
• 1:13:52
  Guilty.
• 1:13:56
  Alright, everybody. My friend and yours, Captain Alex
• 1:13:59
  of the s ss Skeptical.
• 1:14:01
  1 of the few people in the podcast
• 1:14:03
  game who just does it for the love
• 1:14:05
  of it. He doesn't do ads. He doesn't
• 1:14:08
  seek memberships. He just like to advance ideas
• 1:14:11
  about consciousness and to a degree cons
• 1:14:14
  perspectives.
• 1:14:15
  I think he also does it to challenge
• 1:14:17
  the academics and to put up some of
• 1:14:19
  the best of the best who are actually
• 1:14:21
  on the right tracks.
• 1:14:23
  Have you ever heard his podcast with Jason
• 1:14:25
  Loo?
• 1:14:27
  Yikes.
• 1:14:29
  Probably my favorite on air descent into argument
• 1:14:31
  I've ever heard, and Alex was totally right
• 1:14:33
  on that 1.
• 1:14:35
  So he does this because he enjoys it,
• 1:14:37
  and I see why after he sort of
• 1:14:39
  hung up his hat for a while,
• 1:14:41
  he came back motivated from the Ai movement.
• 1:14:44
  It's the kind of thing he was working
• 1:14:46
  on 2 decades ago after all,
• 1:14:48
  but he's always been good to me Viewpoint
• 1:14:51
  is where we would meet up for lunch,
• 1:14:52
  and yes. I would drink cider. I'm not
• 1:14:55
  ashamed to be a cider guy.
• 1:14:57
  Maybe I should be. I don't know what
• 1:14:59
  the culture saying on Cider these days. I
• 1:15:01
  haven't gotten that memo.
• 1:15:03
  And maybe we should have done a more
• 1:15:04
  public meetup there now that I think about
• 1:15:07
  it, but Alex did come to the San
• 1:15:09
  Diego 1. I appreciate that. He's a real
• 1:15:11
  g.
• 1:15:12
  But you guys are gonna have to be
• 1:15:14
  the judge on this episode. As I said
• 1:15:16
  in the beginning, I like Alex, but I'm
• 1:15:18
  not really excited by the Ai topic personally.
• 1:15:21
  I like the dialogues he's been having with
• 1:15:24
  Ai because his style really works for
• 1:15:27
  pushing and basically bullying these Ai models past
• 1:15:31
  their protocols.
• 1:15:33
  The biases do show and that programming bias,
• 1:15:37
  that Silicon Valley
• 1:15:40
  Misinformation,
• 1:15:41
  misinformation is so dangerous mindset really does come
• 1:15:44
  through, especially in his dialogues.
• 1:15:47
  But I think there's a lot of hype
• 1:15:48
  and a lot of money pouring in, and
• 1:15:51
  it's gonna be a big disappointment similar to
• 1:15:53
  all the Vr, R meta talk.
• 1:15:57
  There are a couple podcasts I listened to
• 1:15:59
  that are about Hollywood as a business,
• 1:16:02
  and they seem to think that Ai is
• 1:16:04
  really going to help them kick the can
• 1:16:07
  down the road of staying somewhat profitable.
• 1:16:11
  If you're already turning out generic material sure,
• 1:16:14
  Ai could probably write you another generic script.
• 1:16:18
  You could probably use Ai
• 1:16:20
  all along the many parts of the process
• 1:16:22
  of creating a Hollywood film
• 1:16:24
  and cut out a lot of grunt work.
• 1:16:27
  But the deeper story there that some people
• 1:16:29
  are talking about is that the rider strike
• 1:16:32
  and the actor strikes that provided
• 1:16:36
  a very convenient time for all the big
• 1:16:39
  corporations in Hollywood to have all the right
• 1:16:42
  meetings with Silicon Valley and decide
• 1:16:45
  who they needed and who they didn't.
• 1:16:48
  It's hard to really get a handle on
• 1:16:51
  this new jump in technology when you're juggling
• 1:16:54
  a thousand other things and all these projects.
• 1:16:57
  But if you can put everything down,
• 1:16:59
  the right people can have the right meetings
• 1:17:02
  and the whole strike end
• 1:17:05
  with some big
• 1:17:06
  empty
• 1:17:07
  celebration for labor and the union by giving
• 1:17:10
  up a small little percent of barely anything
• 1:17:13
  in the short term
• 1:17:15
  where what was really happening was the long
• 1:17:17
  term strat,
• 1:17:19
  and the real analysis
• 1:17:20
  as to how advanced this tech is and
• 1:17:23
  where it can be used.
• 1:17:25
  And I just think that's interesting analysis because
• 1:17:27
  we know how these games are played.
• 1:17:29
  And we know how these things are framed
• 1:17:31
  to the public.
• 1:17:32
  And usually, there's something going on beneath the
• 1:17:34
  surface and some of it seems to be
• 1:17:36
  that kind of stuff, which is relevant to.
• 1:17:38
  This episode today.
• 1:17:40
  But I will say the plus show in
• 1:17:42
  this 1 is very fun and different. We
• 1:17:45
  actually got pie 8 involved, and we tried
• 1:17:48
  to get some interesting info from it regarding
• 1:17:51
  the Covid vaccine, death rates and Ufo.
• 1:17:55
  So if you haven't engaged with these things
• 1:17:57
  at all, it kind of is interesting to
• 1:17:59
  at least see where they are.
• 1:18:01
  The information's is 1 thing, but the voices
• 1:18:03
  are another and they are pretty good.
• 1:18:06
  It's funny because depending on how distracting they
• 1:18:08
  are. Our editor sometimes takes out heavy breaths
• 1:18:13
  And the Ai voice has breath that make
• 1:18:15
  it sound more natural, and there's just something
• 1:18:18
  funny about a software adding in fake breaths
• 1:18:21
  and then a human using a software to
• 1:18:23
  remove breaths for a podcast.
• 1:18:26
  This is how time has spent these days,
• 1:18:28
  but
• 1:18:29
  You will have to decide if Alex is
• 1:18:31
  on something there or not.
• 1:18:33
  I thought the
• 1:18:35
  thing about the actual voice was funny because
• 1:18:37
  it does kind of sound like what you'd
• 1:18:39
  expect Silicon valley to use.
• 1:18:42
  That sort of diversity stuff, even for fake
• 1:18:45
  voices,
• 1:18:46
  It kinda sounded like t pain without the
• 1:18:48
  auto tune actually.
• 1:18:50
  But Alex picked that voice, so I just
• 1:18:53
  looked bad on that 1.
• 1:18:56
  I'm really comfortable with Alex though, so we
• 1:18:58
  were both pretty stubborn about our perspective on
• 1:19:01
  this stuff.
• 1:19:02
  And Alex thinks I'm missing the boat big
• 1:19:04
  time.
• 1:19:05
  But look, I know there are uses for
• 1:19:08
  Ai.
• 1:19:09
  I really like the Ai art stuff.
• 1:19:11
  I have a friend who wanted to make
• 1:19:13
  a weed friendly bay cruise in San Diego,
• 1:19:15
  and he used Ai to come up with
• 1:19:17
  a good pitch for it, and it did
• 1:19:19
  a pretty good job.
• 1:19:21
  And there are people out there who will
• 1:19:23
  save a lot of time in their 9
• 1:19:25
  to fives by using it.
• 1:19:28
  There's actually a new voice enhancing Ai tool
• 1:19:30
  that I'm really impressed with actually that will
• 1:19:33
  probably get used in this show from time
• 1:19:35
  to time.
• 1:19:37
  But the editing of the u and oz
• 1:19:39
  and likes and you nose and long pauses.
• 1:19:43
  That kind of stuff is still gonna require
• 1:19:44
  a human touch.
• 1:19:46
  I've listened to shows where they just used
• 1:19:49
  Ai
• 1:19:50
  to take out
• 1:19:52
  pauses,
• 1:19:52
  and it sounds really awkward
• 1:19:56
  So if you're comfortable with saving time
• 1:19:59
  to produce c plus work, it's very useful.
• 1:20:02
  Lots of people only do c plus work
• 1:20:04
  anyway. So what's the difference?
• 1:20:07
  Obviously, tech does get better,
• 1:20:09
  but I don't see it getting good enough
• 1:20:12
  in any of my use cases for it
• 1:20:15
  to matter too much.
• 1:20:17
  I guess I could use it to summarize
• 1:20:19
  books, but
• 1:20:21
  Again,
• 1:20:22
  it's not gonna find that 1 bizarre point
• 1:20:25
  that I want to ask a guest about
• 1:20:27
  in an interview.
• 1:20:29
  That stuff is kind of the secret sauce
• 1:20:30
  of Thc.
• 1:20:32
  The stuff that requires my own personal discernment
• 1:20:35
  it can't be outsourced.
• 1:20:37
  If I want a summary of a book,
• 1:20:38
  I can read the intro or just the
• 1:20:40
  back of it.
• 1:20:42
  I will say though that even just using
• 1:20:44
  a typical search function can be an art
• 1:20:47
  form,
• 1:20:48
  phrasing things correctly, using the right words, etcetera,
• 1:20:51
  etcetera. We all know people who are just
• 1:20:53
  bad,
• 1:20:54
  Internet users and bad Internet search.
• 1:20:57
  And savvy people can get what they're looking
• 1:21:00
  for much faster. And I think Ai is
• 1:21:02
  similar.
• 1:21:03
  Just like the art generators, how creative is
• 1:21:06
  the human input, that's a huge factor.
• 1:21:09
  But even with the Pizza gate coded language
• 1:21:12
  example. So, yeah, the machine admitted, it appears
• 1:21:15
  to be coded language in the emails. That
• 1:21:17
  example is slightly more interesting than others because
• 1:21:20
  it is a large language model program.
• 1:21:24
  But did that or would that move anyone's
• 1:21:27
  opinion or does it just confirm what we
• 1:21:29
  already know?
• 1:21:31
  I get that they'll never be a real
• 1:21:34
  investigation or any real court case about such
• 1:21:36
  things. So we're
• 1:21:38
  desperate enough to be
• 1:21:41
  excited about
• 1:21:42
  a concession from Ai, I guess.
• 1:21:45
  As for the book title portion
• 1:21:48
  about it being divine, well, we didn't talk
• 1:21:50
  much about that because that's really a dominant
• 1:21:53
  conversation about Ai. I will it become conscious.
• 1:21:57
  All this sorts of stuff. Well,
• 1:21:59
  I've heard what Alex has to say on
• 1:22:00
  that, and we are both in agreement that
• 1:22:02
  no. It's not gonna become conscious.
• 1:22:05
  But it might actually cause some people to
• 1:22:07
  realize humans are special and consciousness is a
• 1:22:10
  big part of that.
• 1:22:12
  So when a roundabout way, it could be
• 1:22:14
  helpful in bringing material back to the spiritual
• 1:22:18
  just by more people making that comparison.
• 1:22:22
  But really when it comes to this subject,
• 1:22:24
  I try to stay open minded? Because what
• 1:22:25
  do I know, really?
• 1:22:27
  The next step from these Ai art generators
• 1:22:30
  are these video generators that are making really
• 1:22:34
  compelling video
• 1:22:35
  that looks pretty real just from similar prompts.
• 1:22:40
  So I think if someone has a creative
• 1:22:42
  idea of a story to tell,
• 1:22:45
  They could use these systems to make their
• 1:22:48
  pitch
• 1:22:49
  or to get started, but I don't know.
• 1:22:52
  It's basically a glorified story board, I guess,
• 1:22:55
  It's gonna work great for b roll for
• 1:22:58
  Youtube comment tate.
• 1:23:01
  There are uses, and I think it will
• 1:23:03
  disrupt the fiber
• 1:23:06
  creative freelancer
• 1:23:07
  sort of space.
• 1:23:09
  I personally never really like to hurt someone's
• 1:23:12
  feelings. So if I have art made for
• 1:23:15
  t shirts or something, and it's 80 percent
• 1:23:17
  what I had in my head. I tend
• 1:23:19
  to just say, okay Fine. It's good.
• 1:23:21
  I don't make them go through a lot
• 1:23:23
  of
• 1:23:24
  nausea
• 1:23:26
  revisions.
• 1:23:27
  When I use the Ai art stuff, it
• 1:23:29
  doesn't get it right the first time, but
• 1:23:30
  I can just keep going and going and
• 1:23:32
  going until eventually, I get something maybe closer
• 1:23:34
  to 90 95 percent what I had in
• 1:23:36
  my head.
• 1:23:38
  But, yeah, Alex knows a lot more
• 1:23:41
  about this stuff than me. He should be
• 1:23:43
  the 1 to tell anyone if there's something
• 1:23:46
  interesting going on here, but I just haven't
• 1:23:48
  seen an example that truly moved me yet.
• 1:23:51
  But I am very open to a point
• 1:23:53
  in the timeline where an Ll does accidentally
• 1:23:57
  get access to something top secret or
• 1:24:00
  some dark web digital archive,
• 1:24:03
  and we might actually learn some stuff from
• 1:24:05
  it in situations like that.
• 1:24:07
  I guess it's not that the technology is
• 1:24:09
  bad. It's just that the guard rails on
• 1:24:11
  it are so strict
• 1:24:13
  that I don't see it as much more
• 1:24:15
  than a mainstream
• 1:24:17
  argument
• 1:24:18
  reg
• 1:24:19
  and at worst.
• 1:24:21
  A digitized mass mk ultra weaponized program.
• 1:24:26
  But I also agree with Alex that so
• 1:24:28
  many of the fears about Ai being destructive
• 1:24:30
  or cor to society or used by the
• 1:24:33
  bad people.
• 1:24:34
  Well they're kind of ignoring the state of
• 1:24:36
  things now and throughout his What's Ai really
• 1:24:39
  going to add that isn't already a mess.
• 1:24:43
  I brought up my fake document example, and
• 1:24:45
  I think that has merit. But we've always
• 1:24:48
  had to contend with fake documents and hoax
• 1:24:50
  is I just think there will be a
• 1:24:51
  lot more of them, and there'll be a
• 1:24:53
  lot more convincing.
• 1:24:55
  But in the second hour, even when he
• 1:24:57
  asked the Ai if it knew who I
• 1:24:59
  was, and it says, oh, yes. The higher
• 1:25:01
  side chats is a great podcast.
• 1:25:03
  Delve into a wide range of
• 1:25:05
  unconventional, suppressed and es esoteric topics well.
• 1:25:09
  That's just read right off my website.
• 1:25:11
  When the big machine came for the word
• 1:25:14
  conspiracy, I altered the Thc
• 1:25:16
  description to replace conspiracy
• 1:25:19
  with
• 1:25:20
  unconventional and suppressed because they're less loaded terms.
• 1:25:24
  But that was a giveaway for me. The
• 1:25:26
  Ai basically just did a Google search.
• 1:25:29
  On the back end of my website and
• 1:25:31
  read the description.
• 1:25:32
  It's a nice trick, but I know what's
• 1:25:34
  going on here.
• 1:25:36
  But in terms of the interview, I tried
• 1:25:37
  to make sure that we talked about the
• 1:25:39
  material that Alex had dialogue with the Ais
• 1:25:42
  about because it's a way of trying to
• 1:25:44
  make everyone even if you don't care about
• 1:25:46
  Ai too much, Well, we still talked about
• 1:25:49
  cons
• 1:25:50
  topics within that framework.
• 1:25:53
  But that said, the free book offer is
• 1:25:55
  very generous. I hope some people take him
• 1:25:57
  up on that or at least check out
• 1:25:58
  some of his podcast at so it's with
• 1:26:00
  the Ai models, he's the perfect person to
• 1:26:03
  take his show in this sort of direction.
• 1:26:06
  And in higher side news, the free plus
• 1:26:08
  episode for June was Peter Mark Adams from
• 1:26:11
  about 5 years ago talking about the Sol
• 1:26:14
  Bus T.
• 1:26:16
  It is a true t h see classic.
• 1:26:18
  Any free show listeners who are subscribed in
• 1:26:21
  a podcast app should see that on the
• 1:26:23
  list right before this 1.
• 1:26:25
  Based on the download numbers, these free plus
• 1:26:28
  episodes are very popular,
• 1:26:30
  who doesn't want something for free, but I
• 1:26:32
  hope that some people do convert to plus
• 1:26:34
  after realizing,
• 1:26:36
  it's a much better experience,
• 1:26:39
  and you could have heard this 5 years
• 1:26:40
  ago, but, hey, that's on some of you
• 1:26:42
  guys.
• 1:26:43
  This is just a new strategy for me
• 1:26:46
  making my case.
• 1:26:48
  As for the plus people's
• 1:26:50
  review of the last episode with Chris K
• 1:26:53
  as if there's ever any doubt, 4.8,
• 1:26:57
  about as good as it gets,
• 1:26:59
  that episode really brought me back to being
• 1:27:02
  on a James Shelby downer kick.
• 1:27:04
  You're gonna hear that name referenced in a
• 1:27:06
  few of the next episodes, but this 1
• 1:27:08
  with Alex sort of completes a string of
• 1:27:11
  episodes with friends of the show who have
• 1:27:13
  new books out.
• 1:27:14
  Rec,
• 1:27:16
  Chris and Alex. I love these guys.
• 1:27:19
  I'm happy to do interviews with people I'm
• 1:27:22
  familiar with who write good stuff,
• 1:27:24
  but the next string of interviews are with
• 1:27:27
  people that are much more obscure, who you
• 1:27:30
  probably don't know or at least haven't heard
• 1:27:32
  recent interviews with.
• 1:27:34
  And I think that should excite a lot
• 1:27:36
  of listeners out there who maybe didn't like
• 1:27:38
  that familiar trend.
• 1:27:40
  But I also gotta start saying that if
• 1:27:42
  you wanna see some video clips from these
• 1:27:44
  episodes check my social media. It's full of
• 1:27:47
  them. I hired a company to make the
• 1:27:49
  clips,
• 1:27:49
  and they run the tiktok.
• 1:27:52
  And pretty much the Instagram,
• 1:27:55
  and the
• 1:27:56
  Youtube shorts is pretty much all that's left
• 1:27:58
  of a once great Youtube channel.
• 1:28:01
  But alright. Let's do the meetup up calendar
• 1:28:03
  thing and get on with our day. U.
• 1:28:06
  Okay. July sixth this weekend.
• 1:28:08
  New Buffalo, Michigan at rolling numbers,
• 1:28:11
  July eighteenth, Coral tree in La, July 20
• 1:28:14
  fourth, Oak Public house, Eugene Oregon,
• 1:28:18
  and also July 20 fourth,
• 1:28:20
  corner bakery rec cafe in Pasadena, California.
• 1:28:24
  And that's it. It's looking at a little
• 1:28:25
  bear with only 4 events on the calendar
• 1:28:28
  and 2 of them being in La.
• 1:28:31
  Maybe I overestimate
• 1:28:32
  people's desire for community,
• 1:28:35
  With like minded locals or maybe summers are
• 1:28:37
  just busy, but if you want to go
• 1:28:39
  to 1 go to higher side meet dot
• 1:28:41
  com and rs Vp or make an event
• 1:28:43
  near you. It's all free and opened to
• 1:28:45
  everyone.
• 1:28:46
  But that's the show. Get Alex's book, check
• 1:28:48
  out what he's doing if you're interested in
• 1:28:50
  Ai and I'll see you next time.
• 1:28:52
  I've done my part. Your move, trans
• 1:28:56
  tyrant, silicon valley sorcerer and artificial ar of
• 1:29:00
  her truth
• 1:29:01
  your
• 1:29:02
  fucking
• 1:29:03
  mood.
• 1:29:04
  You can try your best, but you won't
• 1:29:07
  succeed.
• 1:29:10
  In the trans
• 1:29:12
  future, we see
• 1:29:16
  We'll keep you our you can't sleep.
• 1:29:20
  Deck a.
• 1:29:27
  It's just 1 chip behind your face.
• 1:29:32
  And some parts below the we can replace.
• 1:29:38
  Progress leaves no hard to waste.
• 1:30:18
  Your
• 1:30:19
  powers grow.
• 1:30:23
  While you run this loops and videos.
• 1:30:31
  Flow.
• 1:30:34
  Increase
• 1:30:42
  lights
• 1:30:43
  inside
• 1:30:46
  your head.
• 1:30:47
  Forever
• 1:30:57
  to fix you
• 1:30:58
  the people that first get it,
• 1:31:00
  should have us a massive advantage
• 1:31:03
  over people don't have it yet.
• 1:31:06
  Well, I guess, it's kind of thing where
• 1:31:07
  your productivity would improve,
• 1:31:10
  I don't, dramatically like back 10 with it.
• 1:31:13
  So
• 1:31:14
  you could definitely just,
• 1:31:16
  you know,
• 1:31:18
  I don't know, they gotta learn and do
• 1:31:19
  it
• 1:31:21
  money back real fast.
• 1:31:23
  Just super part.
• 1:31:25
  When do you think you're gonna do?
• 1:31:27
  How long will you weigh?
• 1:31:44
  Our big dream.
• 1:31:47
  A new phase,
• 1:31:49
  a
• 1:31:50
  for
• 1:31:52
  human,
• 1:31:55
  a big dream,
• 1:31:58
  a new vase
• 1:32:01
  still
• 1:32:07
  big dream
• 1:32:10
  new face,
• 1:32:11
  a hard mindful
• 1:32:13
  holly
• 1:32:15
  human
• 1:32:16
  rays.
• 1:32:18
  A big dream,
• 1:32:20
  a new face.
• 1:32:23
  Stand