Latest / The Whitfield Report / TWR Wednesday | A Conversation w/ Curt Doolittle On Technology, Business Leadership, and Artificial Intelligence

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TWR Wednesday | A Conversation w/ Curt Doolittle On Technology, Business Leadership, and Artificial Intelligence · The Whitfield Report

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  Now broadcasting from the next-gen conservative studio in
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  Sunny South Florida, bringing you the latest in politics
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  current events and pop culture. This is he's the Whitfield
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  Report with Sam Whitfield. Hey there folks, welcome to the
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  Wednesday edition of the Whitfield report.
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  And joining us today is the Great and Powerful, Kurt
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  Doolittle, who is an entrepreneur, a tech guy, and an
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  all-around. Great guy, and all the
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  interactions I've had with them Curt, thanks for being here.
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  Pizza, come chitchat with good people, it's hard.
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  Find good people if you haven't noticed but I like them.
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  It's good. When you do find them, it really
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  it really is hard to find good people and thanks to shmuly for
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  helping book this. So and he is in the background.
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  I think it's really a no-brainer.
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  Now Kurtz, always like humble on Twitter.
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  He's like, why would anybody want to ask me about business?
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  And it's like, I literally have a printout of all your fucking
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  writings. I mean, when you're talking
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  Talking about like the solution to almost every large
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  organization exists within it and simply the structure of the
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  organization and the incentives. People have prevented it from
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  utilizing the solution to the problem.
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  It's like, why is that? Not the first fucking thing.
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  They teach you in business school.
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  Okay, well a couple of things first, if I tell them people
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  that I want, it's like being a knight, a computer guy and
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  getting everyone to ask you computer questions.
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  So you just say, you don't know. Okay, okay.
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  Yeah, I understand it was strategic humble.
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  You're being strategically honorable, my company.
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  You know, I'm the CEO but everybody works in a consulting
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  firm, right? So I run the strategy practice.
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  Is yeah, yeah. So I'm a strategy practice guy
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  just like you get from Dane or you know any of the other major
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  Consulting companies, they tend to work with companies.
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  You know the big guys work with companies are going to throw a
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  lot of money to edit a certain category of problems.
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  It's usually Market related and what I usually work with is
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  what's the relationship Between you your technology in your
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  company and your customers. And how was that?
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  Not right. Well usually it does the copies
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  broken side, it's just the real all the time.
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  And so what you're detecting by seeing those, whatever it in
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  there, is that most company problems are diagnosable by what
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  you would consider Austrian economics or the theory of
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  incentives. And so I just work from the
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  theory of incentives forward. I diagnosed the In the company
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  and how they're preventing a brand or through their
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  technology from reaching customers, you know, the truth
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  is that most problems in companies are political because
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  they are political organizations their societies.
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  They're made up of people and because of that, most large
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  organizations, encounter problems that just like, it's
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  very difficult to organize, a political faction here in
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  public, in our society, it's hard to get organized, political
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  factions, inside companies. Because there's a lot of
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  loyalties involved. One of the things that I learned
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  from Microsoft, and from Xerox Parc is that, by continuous
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  reorganization in the minimization of middle
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  management. Because there are some costs is
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  that you it's much harder to produce a political factions
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  that are resistant to reorganization reorganization or
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  do. I call adaptation for recent
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  Market changes? The biggest problem.
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  Of course we had one Is our largest customers, 50 million
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  dollars your company. And you know that you know every
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  every top agency in the world has talked to them about the
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  Saints of the same thing, which is your incentive with your
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  Executives or wrong, and that's why you're reaching your
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  customers, the wrong way, but we couldn't get anybody to change
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  it. So one of the things I liked
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  about seeing the current CEO come in, I've only done one deal
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  with him of any, see us, big deal, but I don't want to deal
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  with him is that he's sort of against that he's He's a he's
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  trying to make it so that the incentives are more aligned with
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  the public and he's doing it, he's doing it in proper.
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  Good manner Indian fashion or I would, I go through with a
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  chainsaw to make it happen, but he's, yeah, you say, though it,
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  you say, it's hard to set up particle factions in business,
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  and I get that, but it does seem particularly, like, in the soil,
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  don't think it was political Think of it more as loyalty
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  structures. Okay.
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  Gotcha. Okay, yeah.
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  That makes that makes a bit more sense because I was going to say
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  that like that, if you look at like the video game industry
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  today like the big names, almost all of it seems to be like
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  politically or somehow ideologically based which is
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  killing their consumer base. Because when people play video
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  games or, you know, interact with technology, they don't want
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  to be bashed over the head. Ed with ideological try.
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  They just want to be entertained or, you know, get a product that
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  works if you hire more like what are the jokes we used to say?
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  Is that, you know, if you were I'm going to use Microsoft a lot
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  because I have deep knowledge of the company and sure because
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  everybody, it's somebody a company everybody knows.
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  But I could pick 10, companies off top my head, that I know.
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  All right? So it's just easier to use
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  Microsoft because everybody knows about them.
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  So, you know, it used to be that if Microsoft Soft spoke.
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  Their customer satisfaction went down.
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  It didn't matter what they said. The minute they opened their
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  mouths of went down because I didn't, they stop understanding
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  their customer got kind of arrogant because the the
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  original Concept in the company was that we young guys know, all
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  those computer stuff and those people don't well, the culture
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  stayed. Well after the consumer-based
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  knew, more than the people in the company.
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  So you had a cultural problem there.
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  So, What happened? So I forgot I lost your
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  question. I want to make sure I don't go
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  down my narrative and not answer your question.
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  He was, he was saying that if you look at these video games,
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  now, a lot of room, you are injecting political messages
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  rather than right. Really do Focus you a wants.
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  So, if you do, if you do a market analysis and you go to
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  marketing school, right? That when I said Martin
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  Microsoft Microsoft was getting was getting Revenue, kept going
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  up while customer Action going going down.
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  Now, we're perfectly. So, what we used to say is
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  Microsoft produces marketers that have on a inverse.
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  Logic, other words, they leave Microsoft go to companies those
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  companies fail, because any marketer Microsoft was doing the
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  wrong thing. So, there's a sort of effect
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  like that, that scum that's happening in marketing,
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  Countrywide. And it's being driven by this
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  book stuff in these nonsense disciplines.
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  But, yeah, and it being driven to the top down through
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  Financial sector and academies. Well but when you go to
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  marketing you could basically get this grid and a grid is how
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  many is that there's this, these different quadrants basically
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  that with different demographic, representations and how many
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  people are in them? And so you're sit there when
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  you're making a product, whether it's a movie or a game because
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  it's essentially the same process and you're saying, where
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  are these people in these markets?
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  And I've got to find something that reaches the most number of
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  them, this actually turns out to be Self-defeating, right?
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  Because it's like democracy, it's a race to the bottom.
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  Yeah, right. So, if so, that's why it's
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  happening, it's a, it's an intersection of the, the
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  increase in the cost of games. The time it's taken to produce a
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  game versus a movie. The the investors that are
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  involved, the people that come from marketing and because of
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  this Revenue Bond oil, their attempts to maximize Revenue by
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  reaching Elite largest amount of people.
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  Now, there's a and factor which we should probably talk about
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  which is that they're everybody's afraid of the woke
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  press. Yeah.
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  Right. So what's happening is they're
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  not trying to say the Spy customers.
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  They're trying to make money without getting cancelled by the
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  will press so they don't make money.
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  Right, I'm not gonna happen. Yeah, it's even happen with Jay.
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  It's even happened with like JK Rowling who is, you know,
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  considered very Progressive. He's not even, you know, woke
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  enough for them. Even turned a male character, a
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  female character into a male character.
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  I mean she's basically a trans author.
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  Sorry. I had to do that, so how can she
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  not be? So I'm sorry, I had I just had
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  to go there because to beautiful but ya know not to take Jake
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  butt. Yeah, sure.
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  She went, she, uh, she's a basically, a progressive author.
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  And she take create a female character in a male guys, and
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  she promoted that and it sold like crazy.
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  So why are you taking this woman who is a, who's clearly a
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  left-leaning person? And because she says, okay,
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  there's a limit to this stuff. I'm willing to go along with and
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  then they try to cancel her this kind of money for these fraud
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  doesn't matter, but, yeah, it's interesting.
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  You know, and woke closers infecting, like a whole bunch of
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  stuff. See, like I just saw your Tweet
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  about woke GPT giving answers in the thing of primary races.
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  One thing I am curious about what are your general thoughts
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  on artificial intelligence and you know, computer programming
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  They do more specific. Well, you tried to solve need a
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  more specific question. Well, how you have gone?
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  Yeah, worked on artificial intelligence in the past.
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  Correct, what made you interested people in the 80s?
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  Who was doing? That was actually, I was kind of
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  surprised in retrospect. I'll close, I got, but back in
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  the 80s, we just, we work on. We make great progress, I don't
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  see much Innovation today other than Hardware is cheaper.
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  And with cheaper, Hardware, you finally can Figure out
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  algorithms to improve the, you know, improve the network,
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  right? So, you can run these things.
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  But I mean, when I was developing software, is 64k a
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  memory, right? You'd write, you know, I mean,
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  come on, I mean you run out of memory, you know, you have to
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  use incredible abstractions which were which eliminate the
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  pro you know which create more problems than Solutions.
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  But you do do end up with understanding that it sequence.
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  Memory is what matters not not keeping an image and comparing
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  it like in Rams. That's probably won't go there.
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  I mean, it makes sense. It's just you've worked, you
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  would be an interesting person to ask.
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  Be thought specifically because you had dealt with the problem
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  of artificial intelligence in the past.
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  And obviously, you hit some kind of Roadblock where you get, you
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  know, people people don't realize it but I don't because I
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  don't really do this, but I wrote an AI for law, back in the
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  late 80s and it was funny. So much money we're having.
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  This is true. We had that we're driving to New
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  York to buy one carat diamonds bulk because we couldn't figure
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  out the hide the money. No, it's that I'm not joking.
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  That's the best part of that story is breaking down in rural
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  Connecticut on I-84 heading up. The Boston with all these
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  diamonds, in the trunk, in a jaguar, and us in our suits and
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  we ran out of gas, because, Joel Jaguars had two tanks here,
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  right? Other tank was empty.
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  And so we run out of, we're pushing this fucking jaguar in
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  Tolland, Connecticut down. The fucking highway with a
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  fucking loaded, diamonds in the back.
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  And I just, Irony of that shit is just beyond, you know, just I
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  just think it's just anyway. So yeah, I'm working with this
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  problem a long time, you know, my original work would read text
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  files, right of names, addresses companies in the stuff and legal
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  crap and turn it into Data that could then be processed and then
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  turned into lawsuits. So I mean, I was doing this
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  stuff a long time ago with, you know, very, you know, with 486
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  computers 36 computers. I think that is so So chat.
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  Gbt must, you know, seem like Child's Play.
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  I pledge to you, though. Then by comparison a search
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  engine, Yeah, it's not. And so the idea is, can the
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  search engine eventually develop enough proper weights so that it
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  instead of being predicting what word would be next, it would
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  produce the probability of a world model that could be
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  tested. In other words, can you fit the
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  square peg in this round hole? No, well, unless somebody has
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  written that, can't say it because it has no conscious
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  understanding of the world model.
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  Whereas if Good. Tesla's, cars or Tesla's, row,
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  Tesla's Android and it's an Android.
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  Wear is Boston, robotic Soldier robots.
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  The Tesla's Android is using a world model and so we should be
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  able to get some. We should you were looking for
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  the intersection of those two things to some degree.
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  You want to word model because you can't test anything without
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  having world record my world models.
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  And then you need the ability to take abstract Concepts and
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  convert them into a word model by protecting.
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  The to Right? See, we're at work, quite a ways
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  from making that happen but it shouldn't be, it's not
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  unbelievable. That starting with a language
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  model could eventually get there.
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  Because it's really words are just measurements, right?
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  And so to there's only so many operations available to man
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  because our language and our Concepts in our bodies and our
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  embodiment. So it's not inconceivable that
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  Language models could evolve enough recursion to be able to
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  create word model. I mean from word models to World
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  models. It's not out of the, it's not
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  out of It's not impossible. I mean what's right.
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  You're right. We take we take language models
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  and we listen and we convert them into episodic memories and
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  then we compare episodic memories with each other in a
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  great parallel. Bucking War Conflict for our
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  attention. And you know, whatever one gives
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  seems to be the most rewarding gets our attention and we can
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  focus on it. So it's not a it's not
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  impossible that this can happen. It's of the problem is getting
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  to word my world model where you can truthfully say things my
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  problem with what they're doing now is where I why I want truth
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  GPT allanstreet upt as because they're teaching the fucking
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  thing to lie and they're creating how Right there,
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  creating Health in 2001 by trying to be woken.
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  Nice. When yeah, really is a truthful
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  truth GPT that doesn't tell people how to kill each other
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  and blow shit up. But it might, it tells people
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  are uncomfortable truths about themselves and the world.
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  Yes, oh, I was just going to say as like a someone who's
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  interested in like social science.
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  I think that chat CPT is very interesting in terms of how its
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  sensors, because it really does reveal the sort of social taboos
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  and hair. In our current culture, right?
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  Yeah, chooses to shut down, good.
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  I asked it is to like 25 questions that have to do with
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  human differences, IQ personality denomination income.
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  I just asked it all this stuff, right?
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  And won't answer any of them except for one, what are the
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  primary races, right? Which it did answer and it
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  actually got all of them that got all five.
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  It didn't give the traditional three or four.
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  So it actually would say it but it said it's a social construct
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  and said that the social construct is that we call races.
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  We don't call races sub species or species but even though we
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  call every other equivalent a species or subspecies.
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  So the social construction is the word race instead of species
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  and right? Humans are just incredibly
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  plastic reproduct reproducers as you find by people with sheep
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  horses, dogs, Cape tailpipes, holes in trees.
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  Buckingham You know, pieces of eat anything they can find.
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  So I mean sexual plasticity in humans.
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  Kind of resists the Basic Instinct for speciation which is
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  people that look like me. Well yeah.
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  And you mentioned You know, chat be GPT turning into, you know,
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  how from 2001, so that brings up the other question.
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  Because you on, for a long time, Elon Musk has been like, warning
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  about Ai sentience and I'm skeptical.
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  I've talked to other people who have said that that's not going
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  to happen at all. There's no way it can happen.
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  But what's your opinion on knowledgeable on this?
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  And I think that people are the eel.
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  Why Elon is either? He's trying to draw attention to
• 18:25
  it, but there's two different problems.
• 18:28
  Eli of Elon is looking at the problem of job, displacement and
• 18:32
  economic restructuring. That as a consequence, he's not
• 18:36
  looking at the question of that and he's right about that.
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  We're going to have a problem, right?
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  We've managed to adapt to in the past but I don't see how we're
• 18:44
  going to adapt to it in the future for reasons.
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  I won't go into so elon's not wrong about About the social
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  political and economic consequences of it.
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  He's not wrong in the sense that you can militarize this stuff so
• 18:56
  that acts beyond the capacity of human reaction.
• 18:59
  So for example, I can't drive a Formula One race card, right.
• 19:02
  Some people can I got on the reaction time, right, what?
• 19:05
  One of the things I noticed that I could drive my Ferrari up to
• 19:08
  180 miles an hour, right? But we're something about the
• 19:12
  Ferrari. Like, it doesn't allow.
• 19:14
  It doesn't allow you to be stupid with the car because, you
• 19:17
  know, you'll kill yourself the problem, driving a Porsche 911.
• 19:20
  Next 50, Turbo, Is that the fucking car can go from like 25
• 19:24
  to like 150 while you're turning the temperature up on the
• 19:28
  goddamn you know thermostat right?
• 19:32
  Oh yeah yeah I've been in one. Yeah.
• 19:36
  It going down the road and like switch something and realize I
• 19:39
  was I'd increase my speed by fifty miles an hour, if
• 19:42
  so-and-so. And the problem is, you actually
• 19:44
  can't human. That's why cars are going to
• 19:47
  these automatic transmissions because humans actually can't
• 19:50
  react that fast. You are.
• 19:54
  So, this is called ooda Loop. Problem is getting inside the
• 19:58
  decision criteria of the irk opposition.
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  Well, a eyes can get inside our decision decision capacity and
• 20:05
  so in Concepts, like War, we're kind of screwed.
• 20:10
  So, in that sense, he's right about the destruction of their,
• 20:13
  the destruction of war, the people that are going the other
• 20:16
  side of the camp which was demonic a is right.
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  I don't know if you wrote what I read, what I wrote the other
• 20:21
  day, but Like they're going to be evil so you have to make
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  them. Yeah.
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  Right. You have to make them evil on
• 20:28
  purpose whereas they have no reason to do anything.
• 20:32
  You don't tell them to do so there's not this they have no
• 20:35
  and they never can have unless we give it to them, some
• 20:38
  incentive to do what we do, which is acquire shit.
• 20:42
  Require stop require relations require at you know, influence
• 20:46
  require proper opportunity to acquire powering its
• 20:49
  opportunity. They have no they have to be
• 20:51
  given that. And that's complicated in the
• 20:54
  sense that the second thing is you're talking about these
• 20:57
  things. Inventing magic, I mean, look
• 20:59
  look the problem we have today isn't computation.
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  It isn't thinking the problem we have is every test we want to
• 21:08
  conduct to improve. Our scientific knowledge is so
• 21:11
  inordinately expensive. We don't have the money or
• 21:15
  energy to conduct the tests. Or they'd be a moral like a
• 21:19
  manufacturing people. So I mean, it's the what's the
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  AI has the same problem? Are you could say what it can
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  do, is it can synthesize our economies, you know, it could
• 21:31
  promote truth or increase falsehood.
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  It could engage in human manipulation.
• 21:35
  But the idea that this thing is going to drive us to the stars,
• 21:38
  is not a matter of computing. Power humans are phenomenal at
• 21:44
  creativity and Innovation and adaptation and whatever.
• 21:47
  And I I can sit here and tell you what's wrong with math as
• 21:50
  many other people can therefore, what's wrong with physics?
• 21:53
  It's not even that complicated. Did we have to wait for the Nick
• 21:56
  current generation of physicists in the academy to die to fix it?
• 22:00
  But it's, you know that's a problem humans.
• 22:04
  Can solve the real issue is popper was wrong, there is
• 22:08
  decidability in the execute, the choice of what you investigate
• 22:11
  and it's basically what can you afford to which is what humans
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  do. So I'm not afraid of super
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  sentient beings. I'm not afraid of super sentient
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  computers with malware incentives.
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  I'm a prayed for people who try to get away with it.
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  Meanwhile, we had I the same thing, Guardian policing, the
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  world, against those computers. I am, I've encountered a similar
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  thing. Like, there's people who think
• 22:38
  that if they had some hypothetical AI in a box that
• 22:41
  they could just outclass everybody else on Wall Street.
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  That they could predict what stocks or whatever to such a
• 22:49
  superhuman level. It's like I seriously doubt it
• 22:53
  because that's not calculate a balloon the way that they think
• 22:56
  it is a lot of 2000. We've had this stuff for
• 22:59
  decades. So a lot of 2008 was because the
• 23:02
  first generation of those a I spoke that Yeah, so that what
• 23:06
  happened is the generation. My Generation had already left
• 23:09
  Wall Street, right? They were already, you know,
• 23:12
  don't moved on and these young guys that come with different
• 23:16
  math and different promises and they started getting local
• 23:19
  predictions. The problem is is mandelbrot
• 23:22
  told us is that all this happened in the stock market is
• 23:25
  noise working its way through the system.
• 23:27
  It's all noise. I mean it's what Warren Buffett
• 23:30
  is roughly saying by you invest in the economy over time and An
• 23:35
  else is just gimbley. Well, if you're looking for
• 23:38
  educate, this is my thought process, maybe I'm wrong, but
• 23:40
  it's like if you're looking at all of this data on the stock
• 23:42
  market, you're looking for the edge cases.
• 23:46
  Right. Yeah.
• 23:47
  How are you going to get the edge cases?
• 23:48
  If you're just using the shapur, mathematical model, you can't
• 23:51
  calculate it that way. Well, there are, for example,
• 23:57
  again man, brought the most of what happens to the stock market
• 24:01
  is noise. As the actions of the FED work
• 24:05
  their way through this. Just the economy and that's that
• 24:08
  seems like it's chaotic to us but it's not right.
• 24:11
  Okay. And yeah, I might be able to
• 24:13
  figure that out, you know, it's um, Level it was big enough and
• 24:17
  observed enough and it could also read news and television
• 24:21
  and other stuff right would need more external information than
• 24:24
  the data tickers involved and would need sentiment track toes.
• 24:27
  And you think it's so what it just understand the business
• 24:30
  model and a more broad scale. Don't really understand the
• 24:34
  business model, you have to know, you have to get attuned to
• 24:37
  the edifice cycle. Rather.
• 24:39
  Sorry about application of very low institutions, like, what's
• 24:44
  his name? The Ed chair.
• 24:46
  Greenspan know. He the reason he was a good
• 24:48
  Economist and a bad one was because he actually studied how
• 24:52
  cotton was produced at the lowest level of people picking
• 24:55
  cotton and the whole hierarchy of the cotton production chain.
• 24:59
  Once you understand that, you say, oh, I see how businesses
• 25:02
  work. And I See How They Roll Up the
• 25:04
  economy and so that is what you sort of need to understand a.
• 25:11
  I couldn't. It would only need to do that at
• 25:13
  the level of detail that It's produced by the things that
• 25:17
  influence, broader markets, whose Commodities and say, well,
• 25:23
  and the argument that I've heard for artificial intelligence
• 25:28
  dealing with the with the stock market.
• 25:31
  And this is, this is a hypothetical partially, but
• 25:35
  also, you know, a lot of A lot of decisions based in the stock
• 25:41
  market, also based on human emotions, right?
• 25:46
  Fear greed, you know correct etc etc.
• 25:52
  Artificial intelligence doesn't exactly have that so that's not
• 25:58
  really true you just have really well.
• 26:03
  I mean I wrote a send of an engine I don't know how to be
• 26:08
  the earth. Mid-2000s, I designed a
• 26:11
  sentiment engine for, for this do tracking how people's
• 26:14
  vocabulary changed sentiments. There's plenty of that, at
• 26:18
  Google at Google and Facebook, and a few other places now.
• 26:22
  So since we can track sentiment changes, you just have to be
• 26:25
  able to know what the sentiments applying to.
• 26:28
  I mean front for all intents and purposes they're Silicon Valley
• 26:31
  Bank Run was done by the internet and And one phone call
• 26:37
  by, what's his name is libertarian.
• 26:41
  The gay libertarian guy that was part of eBay.
• 26:44
  No, Peter Thiel fields. So he made a call internet.
• 26:50
  Picked it up and get a bank run and there.
• 26:53
  And the FED had raised rates. So they could liquidate the
• 26:56
  bonds, they bought it to write, the FED could have just bought
• 26:59
  them back at the original discounted value and liquid and
• 27:02
  handled the liquidity that way. But the FED for some reason to
• 27:06
  want to do that, otherwise it was just, it was a, it was a
• 27:09
  bank run, a non-problem, but you've got to be aware of what
• 27:13
  when those problems are happening with real-time
• 27:15
  interpretation signals and we have a universe of signals from
• 27:19
  phone and and especially the internet and internet is doing
• 27:22
  most of that transmission. So it's possible absolutely
• 27:25
  possible to do it and without, without too much trouble.
• 27:28
  So you just can write, you can find this.
• 27:31
  The problem is creating the what you call the the business model
• 27:35
  I would call a world model, which is saying these sentiments
• 27:38
  affect these sentiments around these Concepts affect these
• 27:42
  products, which can gently cause cause we affect those, it's
• 27:46
  basically a wayfinding it's the same thing as chat DP.
• 27:48
  Working its way through text write the character time except
• 27:51
  it's working its way through parts of the economy of querido,
• 27:54
  a step at a time. It's the same basic problem.
• 27:58
  So it's okay. Yeah.
• 27:59
  So now now I'm now I'm not so sure that I was correct about
• 28:03
  AI. That's a bit fucking scary, you
• 28:09
  know. I think that, you know, the
• 28:13
  amount of knowledge you need to understand.
• 28:15
  This problem. He is largely.
• 28:18
  You need to know cognitive science at least at the level I
• 28:22
  do, which is pretty low level, which is basically the brain,
• 28:26
  how the brain, calculates and computes, you need to
• 28:28
  understand, human human behavior in the diversity that behavior
• 28:33
  across generations and Sexes. And then you understand if they
• 28:36
  have enough knowledge of Economics to know how how
• 28:39
  information flows to the economy and Alters the behavior.
• 28:41
  We just described, as you know, human behavior.
• 28:44
  Plus neurology, you have to understand all that.
• 28:46
  Stop what you sort of, get a model that your head.
• 28:48
  Like anything else, like those like I can tell you, what's
• 28:51
  wrong with the Ferraris by listening to it.
• 28:52
  Why? Because it's been a long time
• 28:54
  listener flowers that we're working.
• 28:57
  So, it's that you've developed that model.
• 29:00
  And just like, when you were talking to people, now you have
• 29:02
  a constituency, you're good at what you do, right?
• 29:04
  People listen to. Yeah, you know, you learn how
• 29:07
  they think. Well, I mean, it's the same
• 29:09
  thing with this. It just did a broader scale and
• 29:11
  it's a more abstract and less subject to, you know, personal
• 29:15
  opinion or care, right? You can't have any Ambitions
• 29:17
  about it. You just have to Want to know
• 29:19
  what's true. And you know, if you look at
• 29:20
  this, if you look at AI, you have to understand what a how
• 29:24
  the AI Works, what the goal of AI, then those what would it
• 29:27
  have to get to, to actually be conscious?
• 29:29
  Which I understand right? Then it's a matter of okay,
• 29:32
  where are we in that path, right?
• 29:36
  And what, what an egg along that path, what things can it do and
• 29:41
  not go do in other words, what's its face limit based reasoning
• 29:44
  which is one of the things we teach you in Brandon's, sort of
• 29:47
  in charge of it. One of the the things that Sam
• 29:49
  and I were talking about this most interesting and you're
• 29:51
  writing was you really stressed the importance of parallel,
• 29:56
  internal competition. Can you explain why?
• 29:59
  That's so important within companies?
• 30:02
  Yeah and you can you kind also break down what that is for the
• 30:06
  audience to, okay. So in business mean, Yes.
• 30:14
  Yes. Yeah.
• 30:17
  Well. So a typical guy will try to be
• 30:24
  efficient typical CEO will try to be efficient and he'll create
• 30:28
  an apartment, that's responsible, one thing and give
• 30:31
  them a mission, a Bill Gates, wouldn't do that.
• 30:36
  He would go out and say, I want to solve this problem.
• 30:39
  Please send me proposals for how to solve the problem and you'd
• 30:43
  get prose, was small, the company, right?
• 30:45
  And he go through this stuff and he'd say, okay these four are
• 30:48
  not bad ideas and He bet on all four, he's okay here's a million
• 30:53
  dollars, a million dollars is a million dollars in some cases,
• 30:57
  it's a lot more money and so what happens is the internal
• 31:04
  competition does the same thing as happens in your brain, which
• 31:07
  is there's look in your brain. You get these stem puts there's
• 31:10
  they are associated with all the pre all related, episodic
• 31:14
  memories, and the all those all the predictions of all those
• 31:18
  episodic memories. And then what occurs is that?
• 31:21
  There's Competition between them for the highest value output,
• 31:25
  but you would think of as emotions, but it's really
• 31:27
  generally how much new stuff can I get out of this?
• 31:30
  So, what, you're right? So, so, essentially, it's the
• 31:33
  same process of applying that process to the organization,
• 31:37
  which is producing competition as a meat.
• 31:41
  When I run my teams and my company's, I run them more like
• 31:43
  a grad school seminar were, I'm trying to because I have to
• 31:46
  double the company. Every couple years, just how I
• 31:49
  run a business of my strategies. I'm always pulling enough people
• 31:56
  into management discussions said, I'm essentially training
• 32:00
  the next generation of leaders. We need constant, right?
• 32:06
  As many as I can, and though this is the same thing, but if
• 32:09
  you do that, what happens is all these discussions happen and
• 32:13
  nobody gets political power. It's the same thing when you
• 32:16
  turn out for different guy, you know, bring in four different
• 32:19
  guys, that you've million dollars to go and experiment,
• 32:21
  nobody gets political power. What happens is you tend to get
• 32:24
  more empirical results out of these things and more Metacritic
• 32:27
  results, results with less kowtowing to existing power
• 32:32
  structures. Now, the favorite example, Gates
• 32:35
  had was when, when the alternative to DirectX escaping
• 32:43
  at the moment, shouldn't can't believe.
• 32:44
  I'm it's not there. With this competition was coming
• 32:48
  in and Microsoft had to solve realize that somebody at
• 32:51
  Microsoft said I'm going to quit.
• 32:52
  So here's the answer. And he great said, I want you to
• 32:55
  be in charge now and so we came up with the DirectX solution to
• 32:58
  the problem of Graphics within the Microsoft world.
• 33:01
  So robbing these are ways of looking at it and this is how I
• 33:07
  try to tell people don't stay stuck and that model that came
• 33:12
  out of the military, right? Because you went from the
• 33:13
  military then you learnt got in charge of A business because
• 33:16
  you're responsible and that model slowly altered over time
• 33:20
  and this false sense of efficiency and departments, and
• 33:23
  then you don't know this. But during the early part of the
• 33:26
  20th century, the Communists had come along and Boston Consulting
• 33:30
  Group was the one that brought all this bullshit about, we
• 33:32
  should manage like the Communists and socialists do,
• 33:35
  which is this heavy bureaucratic stuff and by the 80s, our
• 33:39
  American companies had gone uncompetitive because of this
• 33:41
  this managerial problem. Same way the Soviets became
• 33:44
  uncompetitive In corrupt. And in the 80s wouldn't you guys
• 33:48
  probably aren't old enough to remember?
• 33:50
  But I was starting building comprehensive time.
• 33:52
  Is it the middle class of the middle management of a mirror of
• 33:56
  all? These companies have been built
• 33:57
  up from 1920s 1960. Not only America, but in Cadbury
• 34:01
  Schweppes is the canonical example of this but I'm thinking
• 34:05
  of Pittsburgh plate. Glass out of the top my head
• 34:08
  they just were gutted, their middle management.
• 34:11
  And then we after the 80s we saw the Japanese model which was the
• 34:14
  opposite which is just in time manufacturing small teams are
• 34:18
  everybody knows the problem so well that he's so you see this
• 34:22
  evolution of organizational structures over time in which
• 34:25
  your but you become to realize is that what you're actually
• 34:27
  trying to do is create an internal market place for the
• 34:30
  pursuit of projects. Instead of departments that are
• 34:33
  based on long-term, very little changing efficiencies.
• 34:38
  Yeah, and that would also explain probably because I do
• 34:41
  know that in the 80s. There was a big fear about like
• 34:44
  how Japan was going to rise up and basically conquer America in
• 34:49
  the business world and I'm thinking that that is probably
• 34:53
  why they were afraid. Afraid about was because it was
• 34:58
  actually because By the 70s are competitive Advantage, header
• 35:04
  eradicated in the 80s, Reagan had come in and loosened credit,
• 35:10
  right? With the in order to defeat the
• 35:13
  Soviets. And so there was money available
• 35:15
  in the system for experimentation.
• 35:18
  So what happened is? These companies were going
• 35:20
  broke, they figured out the problem precise, partly, because
• 35:23
  you're right, they saw the Japanese Justin try model and
• 35:27
  they got it. They got it them the work.
• 35:30
  The we called middle management or what, I call dead weight and
• 35:35
  got rid of them and that turned out to be a really good
• 35:39
  decision. You saw the same thing.
• 35:41
  In programming, right? We used to program by the
• 35:43
  waterfall mosfet and then we went to these various agile
• 35:47
  methods and that was a big war over, you know this minor
• 35:50
  difference between that and in the end we sort of came out with
• 35:53
  it. You know?
• 35:54
  It's the just-in-time model and here's how you manage it.
• 35:58
  Yeah. We shot given recent situations.
• 36:02
  It's kind of interesting that Elon musk's kind of going back
• 36:06
  to maybe an older model. He's a lot more like Ford than
• 36:09
  he is modern chess. You're G of it.
• 36:12
  Seems yes, what you do. Yeah.
• 36:15
  So what you do is think of it as a market, right?
• 36:18
  We're just a market cycle so you invent something new right
• 36:22
  competition comes in. You try to cut all all sunk
• 36:26
  costs or marginal costs and you just and you distribute all the
• 36:32
  knowledge and competency around around the marketplace.
• 36:35
  So you're not carrying all the all the downtime, right?
• 36:39
  So you're Distributing all this meat, you essentially a
• 36:41
  efficient until it's not anymore.
• 36:45
  Musk is come back as so we can't do that with these Technologies
• 36:50
  because this, this parting out of automobile been manufacturing
• 36:54
  is turned up. Stop being efficient, Stern into
• 36:57
  the problem. So they've just know he's making
• 37:00
  these big factories where I mean, it's just them that the
• 37:03
  whole gig oppressed thing is, freaking insane.
• 37:06
  And so, we have you batteries that have got all those
• 37:08
  overlapping little flanges to they handle the Polarity and
• 37:12
  density problem. So I mean they're doing amazing
• 37:14
  stuff over there. But could we do Giga presses and
• 37:17
  that before well we could do steal cars right at the
• 37:22
  beginning but as cars became more and more complicated and
• 37:26
  competition increase because frankly there's way too many car
• 37:28
  companies in the world. There's way too many car models
• 37:33
  in the world which are largely indifferent.
• 37:36
  Basically me what five styles of car and then the rest of its
• 37:39
  virtual signaling on top of that, So Satisfied.
• 37:42
  When so, you know, Elon Musk has gone the other direction.
• 37:47
  Why? Because he can't make this
• 37:50
  profit. If the supply chain has all
• 37:54
  these little profit takers in it and all those little profit
• 37:56
  takers are trying to trying to Manage their own businesses and
• 38:02
  risk. So he said let's bring all the
• 38:03
  risk inside because I don't see any.
• 38:05
  And let's see, we centralize. So we saw the exhaustion of one
• 38:08
  market and the Redevelopment of another and over time, I'm sure.
• 38:12
  Yeah, what happened to this one? Who this is going to kind of be
• 38:17
  a broad question. But who in business currently?
• 38:24
  Do you admire the these days? Who do you think runs their
• 38:27
  business? The best.
• 38:29
  I don't really doesn't matter what industry.
• 38:32
  It is up close and personal with these guys.
• 38:36
  Yeah, I'm not anymore. So, of course, I'm gonna, I'm
• 38:42
  gonna go for musk. Really always.
• 38:44
  I mean, I mean yeah, he never does anything that I was like,
• 38:48
  well, I would do exactly. Am I everything he does and we
• 38:50
  would do the same thing. Great.
• 38:55
  There used to be people like they used to be other people in
• 39:00
  the world like Jack at General Electric and they're used to,
• 39:07
  but I don't see any and Toyota is going to pass on and he's
• 39:12
  really good. Honda is really good.
• 39:17
  But if I look at the business world, I think competition has
• 39:23
  made it. So it's very hard to compete as
• 39:28
  a business owner compared to an R&D firm.
• 39:33
  That makes sense. Yeah, yeah, completely.
• 39:36
  And so I think I think the problem now is move from, how do
• 39:41
  you organize production the distribution and trade, which
• 39:46
  was the real problem or cat first, we need to Capital
• 39:48
  organization that we need production, distribution and
• 39:51
  trade and at this point we're kind of at the the marginal
• 39:54
  different labor is cheaper, you know, nobody's marginally
• 39:58
  different than what they can produce.
• 39:59
  So all the marginal differences are created by ownership of all
• 40:04
  your own R&D and so if you if you ask me who who's doing Cool
• 40:09
  stuff. There's really two areas I would
• 40:11
  say that matter to me. When that's the strategy that
• 40:16
  musk is taking and his companies, which is hyper
• 40:19
  experimentation rapid failure, and Hyper adaptation, or he's
• 40:25
  doing it really fast. And we're Smart, Guys.
• 40:27
  And the flip side of that is, I think the Silicon Valley model
• 40:31
  is. How government should be run,
• 40:33
  which is largely. The government should exist,
• 40:35
  largely is Venture Capital firms.
• 40:37
  Make in the government should be Making profit from its success
• 40:40
  Adventure Capital rather than extracting from Venture
• 40:44
  capitalists. Because the problem today is
• 40:48
  we've passed, you know, just as a youth.
• 40:50
  Like when I was a kid, I could write a kid.
• 40:51
  When I was young, I could write a computer game all by myself,
• 40:54
  right? I did, I wrote computer games
• 40:55
  all by myself you can't do that. Wow, 20 million dollar problems
• 40:59
  today are more. Yeah, so the same thing is to do
• 41:02
  with funding. I mean, if you're if the
• 41:03
  marginal difference is research and development, will the margin
• 41:07
  and the marginal cost of research, And development today
• 41:09
  is not only one person, that only two people, maybe thousands
• 41:14
  of people that only a government can fund it.
• 41:16
  So our government needs to be working in R&D which is some
• 41:19
  will have a Chinese are working it and it's needs to switch from
• 41:22
  being rent Seeker by just managing the the competition to
• 41:29
  taking it so that the timeframe of investment is the government,
• 41:33
  then the problem, the wealthy private sector, then the short
• 41:37
  medium term private A sector than the short-term private
• 41:40
  sector, then the entrepreneur. So the division of labor across
• 41:43
  R & B is more, is more weighted to the size of capital demanded
• 41:48
  to make any difference today. And if that makes sense.
• 41:52
  That's a really important concept.
• 41:53
  I hope it makes sense. No, it does.
• 41:58
  You mentioned that you are close and personal with a lot of
• 42:01
  people? Did you ever get a chance to
• 42:03
  meet Bill Gates by chance? You've mentioned him a lot.
• 42:07
  But I mean, When I worked at Microsoft, he was like in the
• 42:11
  next floor up, I mean, it's not. Yeah, right.
• 42:13
  But I've been in a couple meetings, you know, it's no big
• 42:17
  deal, but I've been in this orbit, my whole life.
• 42:20
  He's just, I don't know, he's fucking nerd.
• 42:22
  I mean exact show. Well, whether there's there's
• 42:26
  this whole kind of conspiracy that he's like some evil, like,
• 42:31
  globalist is really easy to play because He's a very demanding
• 42:37
  but very actually, a very sweet person.
• 42:39
  Yeah. What you would do, okay?
• 42:41
  Like I had cancer twice, it changes your fucking lot, look
• 42:45
  on life, right? I'm like, I don't want to make
• 42:47
  the big companies anymore. I don't want to own houses or
• 42:49
  cars. I want to live in a little condo
• 42:52
  and a little urban center and I'm going to write stuff and see
• 42:55
  pretty girls, right? I mean, that's all I wanted it
• 42:57
  or so, Gates is in the prime he's built this whole thing in
• 43:00
  his mind. He's brought computers to the
• 43:03
  work to everybody. He's changed the world in his
• 43:06
  government, fucking turned on him for it.
• 43:10
  Yeah. So he felt like he was betrayed,
• 43:16
  right? And so he said, I've been
• 43:18
  betrayed and demonized for the good I did.
• 43:22
  I'm going to go out and be and try to build my own brand again
• 43:27
  and do good. Now, you have to understand
• 43:29
  though, get the Gates Foundation is one of my customers.
• 43:32
  So it's like it's like they had this like you know, the
• 43:35
  Terminator. They had music presses.
• 43:37
  And now. Yeah.
• 43:39
  They look have 58 athletic brunettes.
• 43:42
  This machine at the gates, Donald the stream or be used to
• 43:46
  be. It's like a certain kind of
• 43:47
  woman gets hired their right and their running everything.
• 43:51
  Let me hear that environment. You're going to become part of
• 43:54
  the flow of that environment and you're gonna work in the that
• 43:58
  sector. Would those kind of people who
• 44:00
  work in in that place and they're all high-minded, liberal
• 44:03
  types of people right now. So he's been, he's gone from the
• 44:08
  adversarial frame to this one and his mind.
• 44:12
  And he's doing good and he's doing good because when he tried
• 44:16
  to do good, the other way, the government, his own government
• 44:19
  came after him. He says that openly right?
• 44:22
  But yeah. Do you do you live useless?
• 44:24
  You swim in a watery becoming, you know, with other fish, who
• 44:28
  eventually be affected by it? So he thinks he's doing, okay?
• 44:31
  But You don't does, he know the negative consequences of what
• 44:38
  he's doing. Howdy, I doubt he.
• 44:43
  Yeah. I mean, I don't, I remember him
• 44:45
  as a nice guy who I stood behind, get coffee at Starbucks,
• 44:49
  right? Yeah, this is no.
• 44:53
  My, I don't believe he's as bad as people make out.
• 44:56
  I mean, every time I see these sort of conspiracy people make
• 45:00
  claims about him, I go find the video in full context and he's
• 45:03
  doing things that are like, go, I'd like, right?
• 45:06
  Oh, I'm making a shot, a potentially of an ejection.
• 45:11
  So, women in India who have five kids already, don't have the
• 45:14
  sixth kid and they all live in abject poverty.
• 45:17
  Like, what, what, how is that objectively bad?
• 45:20
  You know, people sort of spread conspiracies without doing due
• 45:23
  diligence in order to work in that Marketplace in the
• 45:27
  political Marketplace? He has to he has to talk to
• 45:32
  people in that Marketplace the way as a friend.
• 45:36
  And so that's what's that's all I?
• 45:37
  Yeah, I think you're right. Well no my my mom.
• 45:40
  Mom also worked in technology like back in the back in the
• 45:45
  eighties and she met, you know, Bill a couple times and said the
• 45:50
  same thing about you know so that this whole evil you know
• 45:57
  genius thing is kind of nonsense.
• 46:01
  Not yeah. I'll call me the lawn and evil
• 46:03
  the evil eye. Yeah, I had the same maybe not.
• 46:06
  I used to get my secretary one year.
• 46:09
  Gave me a Darth Vader mask. Because she said, this is what
• 46:12
  people think of you, right? Yeah.
• 46:18
  If you have to make decisions, right?
• 46:20
  I mean not, not everybody's going to like your decision.
• 46:24
  There's always winter whenever a decision gets made, there's
• 46:27
  people who benefit and people, who don't benefit as much right
• 46:30
  now. Yeah, well, I just finished
• 46:33
  reading the Steve Jobs biography that Walter Isaacson did about a
• 46:39
  month ago and I mean, the one, the one thing that's always
• 46:43
  that's interesting out, you know, him is Yoshi.
• 46:46
  People say oh, he was such You know, an asshole.
• 46:49
  But at the end of the day that didn't really matter because he
• 46:52
  was an innovator, and I'm going to, I'm just going to tweak that
• 46:57
  a little bit. He was an asshole in pursuit of
• 47:01
  a common. Right, right.
• 47:03
  Right. Larry Ellison is an asshole.
• 47:10
  Yeah. Like this guy he invites me up a
• 47:14
  great example is invites me down to this.
• 47:17
  Beating going to ask me. What's my opinion?
• 47:19
  Because basically wants me to agree with them and I'm like
• 47:21
  it's going to say it's not going to cut the funding blow it.
• 47:25
  I'll tell you why. It's not and it's I got picked
• 47:28
  up at the airport and in a limousine, right?
• 47:31
  With my secretary. And so you pick up at the
• 47:34
  airport driver knew and didn't see no given food and Champagne.
• 47:37
  All the shit do this meeting. They took me out of the meeting.
• 47:41
  It took me out. Let's become 0.
• 47:48
  This is that's Larry. There's an asshole.
• 47:51
  So, I mean, if you want to look at those three guys, right?
• 47:55
  I really like Gates, he was an asshole to other people for the
• 47:59
  same reason. He was an asshole, he was very
• 48:03
  hard on people. Right, right.
• 48:07
  For because his attitude was pretty much a if if you I need
• 48:13
  are if you can't solve this problem, I need someone smarter
• 48:16
  than you just solve it. Yeah, it referred of his answer
• 48:18
  to everything. Well, Well, and not to interject
• 48:25
  too much. But I mean to me that kindness
• 48:28
  seems like a big problem, these days and business, right ever.
• 48:32
  And just in general, everyone wants to so nice to everyone and
• 48:36
  not hurt, anybody's feelings that it kind of gets in the way
• 48:41
  of being productive or pushing us.
• 48:44
  Yeah, just feminization of the workforce.
• 48:47
  People cut men and women both coddle women.
• 48:50
  If there's enough women in it, the coddling be And systemic
• 48:53
  because they develop enough of a network to be able to be able to
• 48:58
  resist, the adversarial competitiveness of men and they
• 49:02
  want everybody to be coddled. And of course what you see with
• 49:04
  this happening and got ever if I ever say this in front of an
• 49:07
  audience, I'll be shot. But I mean live audience.
• 49:11
  Is that the women make companies uncompetitive?
• 49:17
  Now there are the the data argument is that all these
• 49:20
  people are in these successful companies, women are you Yeah,
• 49:22
  they are because the companies were competitive before they got
• 49:25
  there. Right?
• 49:26
  So bringing women into management, or on boards is,
• 49:30
  most not all the time, but it's mostly a virtue signal play or
• 49:34
  yeah, cards of a company. It's on its way down because
• 49:37
  nobody will, because women are pampered, they won't shoot the
• 49:40
  woman, who's like, they did with Kodak, right example, is it you,
• 49:44
  they were Hewlett-Packard, they put people women and charge
• 49:47
  these companies because they're safer from public criticism than
• 49:51
  men. Yeah, so there's a lot of
• 49:54
  reasons that you know, you can't say this stuff because it's so
• 49:57
  true, but it's so offensive but women made women are women are
• 50:01
  the reason that the academy and then businesses are become one
• 50:05
  competitive because they're too feminine.
• 50:08
  The physicists are too feminine to restore it.
• 50:10
  Male, adversarial competition, and pursuit of status.
• 50:13
  That benefits, the whole good. yeah, I mean very Very rarely,
• 50:21
  do you find it? You know, a woman business there
• 50:24
  are there are certain exceptions of course.
• 50:27
  But generally, yeah, I agree with you that, you know, my
• 50:30
  sister's exceptions. Everything, there's men, who
• 50:32
  incredibly feminine thinking and her.
• 50:34
  Yeah, good at that. I mean, I'm not, you know, you
• 50:36
  whenever you women do the naxal thing, which is everybody,
• 50:40
  you're making a declaration about a curve distribution, they
• 50:44
  say, but this exception like, yeah, but I was talking about a
• 50:47
  distribution, of course, there's options, right?
• 50:49
  That's part of them with Elm exiled exiled bias that?
• 50:53
  Yeah, I mean, and it seemed, I mean, the example, I always the
• 50:59
  example I was used with people, as, you know, look out, look at
• 51:04
  lucasfilm, you know, which is, which is now owned by Disney
• 51:08
  obviously. But you know, we were discussing
• 51:10
  movies. Everything that was Everything
• 51:14
  from a business perspective that has gone wrong.
• 51:18
  You know, at Disney / lucasfilm over the last few years has been
• 51:22
  given a heads of Kathleen Kennedy and her management style
• 51:27
  just to kind of look, I don't think she was going to do this,
• 51:30
  right? She came in saying, this was our
• 51:31
  objective was go after New Market.
• 51:33
  The problem is its fail. Oh yeah, it's it's completely
• 51:38
  failed. Which is how long it goes on
• 51:41
  before they get rid of her and that it, you know, on that, that
• 51:44
  straight. The problem, is that the
• 51:47
  production cycle for, I mean, who sings the other day?
• 51:50
  The production cycle for the industry is two or three years,
• 51:53
  so it's going to go on for a couple years after woke is no
• 51:57
  longer. Influencing the original product
• 52:00
  and what bothers me the most is that you can't.
• 52:04
  There's nothing heroic anymore. It's always no.
• 52:08
  It's yeah, everything ever bathing is never act like that,
• 52:19
  right? You see women in a real
• 52:21
  circumstance of stress, the fucking run like in cry like
• 52:24
  crazy. Right, right happens, right.
• 52:26
  And so I'm like it, you get for these women that these, you
• 52:29
  know, these women that beat up, guys, that are have 60 pounds on
• 52:33
  them. Have you ever been hit by a?
• 52:35
  You know, you get, you might be hit by one of the top woman in
• 52:40
  UFC, right? And it might hurt.
• 52:42
  Ya, generally women can hit you and it well in There is way.
• 52:47
  So do you feel it? There's way you know a woman has
• 52:51
  written properly is probably going to solve that problem
• 52:53
  without beating up the 30 henchmen in a way that like a
• 52:57
  man would never even think that you just don't.
• 53:02
  And that would be interesting. I mean that that could be
• 53:04
  relatively written. Interesting.
• 53:05
  If you wrote women, the way they actually are but that's not the
• 53:08
  interest. The interest is they need to put
• 53:10
  a woman character in and then they write a man and then just
• 53:12
  make her have tits. Yep.
• 53:15
  I have a one last question that I had prepared.
• 53:19
  You've said that, conservatives lack of scientific language to
• 53:22
  counter left wing, pseudoscience.
• 53:24
  Do you think that you've developed a scientific language
• 53:26
  to counter it? Well, that's what I set out to
• 53:28
  do. I had no one at the end up with
• 53:30
  all this crap. my original goal was to set up thousand times,
• 53:37
  just when when the Gulf War started, The Democratic party
• 53:47
  had were diverted to the Communist technique of just
• 53:49
  talking points. So they wouldn't answer any
• 53:52
  questions. They would just go on television
• 53:55
  and repeat their talking points, regardless of whatever.
• 53:58
  The question was, so this is propagandizing room, so that's
• 54:01
  where Bill. That's where Fox News.
• 54:03
  And this is named. Bill O'Reilly came from.
• 54:06
  Yes, the Fox News came out of the, the answer to that problem.
• 54:11
  And so we got we return to journalism.
• 54:15
  Now then it's gone party affiliations but originally that
• 54:17
  was the case. So when I was watching this
• 54:20
  originally happen, I would say to myself, well why is it that
• 54:24
  conservatives make moral arguments?
• 54:28
  That Express problems that will occur over time.
• 54:34
  And leftist make rational arguments that are talk about
• 54:39
  experiences in time. And why can't Republic or I
• 54:44
  can't Republicans and conservatives explain their
• 54:46
  ideas in scientific instead of moral terms.
• 54:51
  So I set out to do what exactly one thing which was I want to
• 54:54
  create a value neutral language, universally commensurable value
• 54:58
  neutral language of ethics, and politics.
• 55:02
  I succeeded. The problem was around two
• 55:05
  thousand twelve or thirteen somewhere in there.
• 55:08
  I realized that they were so good at lying and so I had to
• 55:14
  solve the problem of what is truth and how do we test for it?
• 55:17
  Right? So right and of course, then I
• 55:20
  get reciprocity out of it. So I got truth and reciprocity
• 55:23
  out of it. Now I started saying, okay now,
• 55:25
  how do I suppress longing? It all this subject matter
• 55:28
  across will so that took me the rest until Two years ago.
• 55:34
  Because if you start looking at this, I had to science Sullivan.
• 55:38
  Truth was no was hard enough solving The Art of Lying, which
• 55:44
  there's a science of down worm because I've made a son that was
• 55:48
  really, really hard. So what I've tried to do is give
• 55:51
  conservatives, well principally, everyone universally
• 55:53
  commensurable value neutral language, we're in, it's not
• 55:57
  that you're right or wrong, it's that you're right or wrong, and
• 56:01
  you're innocent. Or criminal it.
• 56:04
  So I've changed the Greek method which presumes in a sense an
• 56:07
  error and I've restored it to the common law method of debate
• 56:11
  which is you might be right or wrong, but you also might be
• 56:15
  innocent or criminal and so I've showed that almost all of the
• 56:18
  lying that goes on is crime. Even when you don't know it,
• 56:22
  you're a criminal. So criminalize the art of
• 56:25
  created the law, the science logic, and law of criminalizing
• 56:31
  arrest the prosody impulsive line.
• 56:35
  And so once you have that, now you can go back and use it
• 56:39
  across Sorry for some reason, my asthma is picking up, no problem
• 56:44
  backed. And so now you can go back and
• 56:47
  say, okay how do we revise all the law so that there's a strict
• 56:51
  construction of the Western Group, evolutionary strategy was
• 56:54
  just natural law of reciprocity. Somebody, how do I strictly
• 56:57
  construct that strictly construct the rights obligations
• 57:01
  than any other EU Nations and reconstruct, the until
• 57:03
  Constitution and all our policies that conform to truth
• 57:06
  and reciprocity which is the natural law and in doing so.
• 57:10
  So I found the six holes or so, in the original Constitution and
• 57:13
  the 24 sort of holds that emerged later.
• 57:16
  And the end result is that people see my sex differences in
• 57:22
  lying as and group strategy as a primary Innovation but it's just
• 57:26
  a consequence of the previous Innovations.
• 57:28
  I've come up with so you know, I didn't set out to unite The
• 57:32
  Sciences right. I guess that out to make.
• 57:34
  How can we make a dull conversation for us, right?
• 57:40
  Out to do and the rest of its just an accident you set out to
• 57:44
  do one thing. But it turned out to be way
• 57:45
  grander than what you expected, no sane person would do this run
• 57:51
  where you would set out to do it.
• 57:52
  It sounds crazy. Although Bentham originally
• 57:55
  thought he could didn't, the second thing is it's you can't
• 58:00
  do it and you cata me because you might do something across
• 58:04
  all disciplines and even if you did the output of what you're
• 58:07
  saying, I mean I get kicked out of the Economy, like once a
• 58:11
  week. Yeah.
• 58:16
  So, so I mean you can't. I had to do it on my own and
• 58:20
  thankfully, I had enough wealth to do it so, well, that's good.
• 58:24
  The final question I have for you is what life advice?
• 58:29
  Would you give to your 25 year old self?
• 58:34
  You know, you'll like it. I don't like it.
• 58:40
  Um, women don't matter. They're an obstacle to Greatness
• 58:49
  and you can and don't try to make them happy, great greatness
• 58:53
  and the ones that are worth it. Will come along and otherwise
• 58:57
  women are utter waste of time, money and effort.
• 59:02
  And unfortunately that's wasn't my had.
• 59:04
  The opposite opinion partly because I'm a nerd, right?
• 59:07
  Yeah. So I felt like I needed to be
• 59:10
  validated Socially in order to, and I spent way too much time,
• 59:18
  effort, money, and whatever else on women, when realistically, I
• 59:27
  would have been six. I would have been more
• 59:29
  successful if I had just waited. Yeah, though, the right women
• 59:34
  were attracted, you just ignore them.
• 59:38
  Now, that sounds horrible but it's actually the only it's
• 59:41
  actually there. There are actually a couple
• 59:43
  pieces. There's one is one is that the
• 59:46
  second one was going to fucking department head.
• 59:49
  And your University says, I want you to come into my department,
• 59:53
  you understand what that means? And you take the thing, you
• 59:55
  don't say no. I think I'd rather do this take
• 59:59
  the request because that's that treatment is powerful and I
• 1:00:03
  passed on it. The second one is the women
• 1:00:06
  thing. The third thing is make try to
• 1:00:09
  make a friend of everybody, you possibly can.
• 1:00:11
  And you'll be Surprised how effective it is and how good
• 1:00:15
  you'll get at it. And the last is that when you
• 1:00:18
  want to quit, just do it. Because my major regret my
• 1:00:21
  professional life is when I resigned.
• 1:00:23
  Because the board would listen to me and then they pulled on my
• 1:00:26
  loyalty strings to make me stay and it damn near killed me.
• 1:00:31
  Yeah. Understandable.
• 1:00:36
  Thank you Kurt. Where can where can people read
• 1:00:39
  more about you and when's the book coming out?
• 1:00:42
  Was it done yet when it's done? Well I mean it it's is it in
• 1:00:48
  readable form not just just for the audience II break his balls
• 1:00:52
  about it. I have like a leaked early copy
• 1:00:55
  of it. You know I hacked as website got
• 1:00:58
  a hold of that you know I go through all kinds of Canaan
• 1:01:01
  against over. When's the book going to be
• 1:01:03
  done? The thing is, you can see what's
• 1:01:06
  online. Be can't see what's in the word
• 1:01:08
  documents, right? Yeah.
• 1:01:10
  And so the word documents are really it and, you know, you
• 1:01:12
  start out with a 3,000 Pages, you get down just 1500 to get it
• 1:01:16
  down to seven 800. Now, what's I can get it to two
• 1:01:19
  or three hundred pages. So it's something up, I can
• 1:01:22
  actually write it in a long, a 20-page paper today, right?
• 1:01:26
  Which is if I get it to a 20-page paper, that means I've
• 1:01:28
  made it concise the understandable enough for for
• 1:01:32
  most people because the I wrote it.
• 1:01:34
  Previously I didn't. I had to tell too many stories
• 1:01:38
  to get things across instead of just reliable.
• 1:01:42
  Well, if you ever do publish the book, please come back.
• 1:01:46
  We would love to have you on to promote it.
• 1:01:48
  So I'll be in the same notes trap.
• 1:01:52
  Everybody other author, as you just said, your name out and you
• 1:01:56
  take every everything have, of course, friends, like you.
• 1:02:00
  I've got to have to give priority to, of course, right?
• 1:02:02
  Appreciate that. Yes, so, All right, current well
• 1:02:06
  where can people? Where else can people find you
• 1:02:09
  online? So I recommend people follow me
• 1:02:11
  on Twitter, I'm Twitter. Kurt do a little nothing else,
• 1:02:13
  just see what? Yeah W and I remember to find me
• 1:02:17
  there and if you want to follow me there, then you can go to the
• 1:02:19
  website web sites probably over your head but Twitter, you can
• 1:02:22
  ask questions and read these and sort of follow along and begin
• 1:02:24
  to get it for us moves. Yeah.
• 1:02:27
  Well, Twitter is my favorite place to interact as well so you
• 1:02:31
  know where they are. see people who follow me for a long time,
• 1:02:38
  as we're bringing back, the Great era of Kurt on Facebook,
• 1:02:43
  Because I basically run a college class 24 hours a day.
• 1:02:45
  Right, so yeah, I think your Twitter used to be horrendous to
• 1:02:50
  be honest. It was my main problem with you.
• 1:02:52
  It was so easy to take you out of context because it was just
• 1:02:56
  everything was out of context. Kurt you're reacting to somebody
• 1:03:00
  without me being able to see it. But recently, your Twitter has
• 1:03:02
  been pretty fire. It's getting there but I need
• 1:03:05
  the long form because you can't make it.
• 1:03:08
  You can't make our own argument. Like I make it started start a
• 1:03:11
  sub stack. Jack if you want.
• 1:03:13
  My I mean sub. Stack is kind of like long-form.
• 1:03:16
  It's not owned by Twitter, it has You know. you can write long
• 1:03:26
  form on there, so, Yeah, can I wonder if there's a bot?
• 1:03:31
  That allows me to post from Twitter to sub stack.
• 1:03:34
  If there is, I would do it. I'm going to that.
• 1:03:36
  Yeah, I think there is I'll I'll hook you all.
• 1:03:41
  Try and kill. You look me up if you could find
• 1:03:43
  out. Yeah.
• 1:03:45
  No. Absolutely.
• 1:03:46
  I will so I'm just trying to say, I want to have one place
• 1:03:52
  because this I've tried to cut down social media so they only
• 1:03:55
  deal with decent people. Yeah, no I understand that too.
• 1:04:00
  I that's that's why I'm pretty much like I have.
• 1:04:05
  I have a Facebook account but I no longer go on there just
• 1:04:08
  because Facebook seems to be like a flaming dumpster fire
• 1:04:13
  more so than Twitter is and then Instagrams.
• 1:04:18
  It's Just photos. So there's nothing really there.
• 1:04:21
  The whole thing with Twitter and in Facebook is Facebook, has
• 1:04:25
  more way more people Yeah, Twitter Twitter has a subset of
• 1:04:34
  people and that to some degree, that's better.
• 1:04:37
  But the Twitter of bundle Facebook have long form.
• 1:04:40
  So you know, if you look at the stuff I wrote Encore I bestow
• 1:04:42
  gets 5000 views a week right? Yeah, right.
• 1:04:45
  But I can't write that and Facebook or Twitter.
• 1:04:48
  Well now I can so I'd rather just keep it in one place and
• 1:04:51
  then project from there because it's just easier for me to work
• 1:04:55
  there with anyway. Yeah, I really enjoyed this
• 1:04:57
  conversation. I hope I answered the questions.
• 1:04:59
  One we certainly covered a lot of different topics.
• 1:05:01
  Very interesting. You ask interesting questions so
• 1:05:04
  I had a lot of fun. I want to thank you for that,
• 1:05:06
  thank you. Yeah, absolutely.
• 1:05:08
  And we'll talk a John down the road Kurt.
• 1:05:11
  Thanks for coming on and folks. Thanks for tuning in and we'll
• 1:05:16
  see you on next week's episode. Thanks for listening to the
• 1:05:25
  Whitfield report on. The NGC Network.
• 1:05:28
  Please visit Sam's website at www.ge.com, Whitfield.com and
• 1:05:35
  supports am on patreon and patreon.com Whitfield report.
• 1:05:41
  Until next time, God bless God. Save this great nation and God
• 1:05:46
  Freedom Legacy in that order. Thanks for listening to the
• 1:05:25
  Whitfield report on. The NGC Network.
• 1:05:28
  Please visit Sam's website at www.ge.com, Whitfield.com and
• 1:05:35
  supports am on patreon and patreon.com Whitfield report.
• 1:05:41
  Until next time, God bless God. Save this great nation and God
• 1:05:46
  Freedom Legacy in that order.