Speaker 1: Hello, and welcome to another episode of The Mark Mass Show.
Speaker 1: Where we're always talking about the decentralized revolution. We talk
Speaker 1: about the way the world is changing right before our
Speaker 1: very eyes. We're literally living through a historical moment. I
Speaker 1: have talked about many times how history books will be
Speaker 1: written about this period that we're going through right now,
Speaker 1: this transition. And of course we talk about this as
Speaker 1: we look at this, as we try to understand this
Speaker 1: through the lens of three different disciplines, politics, finance, and technology.
Speaker 1: You know, as I've talked about many times, I think
Speaker 1: a lot of people are missing the bigger picture because
Speaker 1: they're too zoomed in and they're not understanding how all
Speaker 1: three of these work together, and so they get an
Speaker 1: incomplete picture. Now, we talk about politics, finance, and technology,
Speaker 1: but we try to talk about them in relation to
Speaker 1: each other. We don't talk about politics for politics sakes,
Speaker 1: but where it's making rules and regulations on technology or finance,
Speaker 1: and those are certainly areas that we want to be
Speaker 1: paying attention to. And today we are going to be
Speaker 1: digging into technology specifically. We'll talk about some of the
Speaker 1: implications of how this will affect the markets. We're going
Speaker 1: to talk about the political ramifications of this. More importantly, though,
Speaker 1: today I want to talk about how I have been
Speaker 1: using brand new, cutting edge technology for massive efficiency and
Speaker 1: productivity gains in my own business, and how you could
Speaker 1: do the exact same thing. It's a little bit different
Speaker 1: than what we've done in the past, and the reason
Speaker 1: why is because we're doing something completely different. If you're
Speaker 1: listening on the radio, I appreciate you listening on the radio,
Speaker 1: and it's with heavy hearts bittersweet announcement for you radio
Speaker 1: listeners today that today is the last.
Speaker 2: Day of the radio show.
Speaker 1: So if you're listening on the radio, unfortunately you're not
Speaker 1: going to be able to find me on the radio anymore,
Speaker 1: but you'll continue to be able to find me on
Speaker 1: the podcast. You can just search the Mark mass Show
Speaker 1: on your favorite podcast player. All right, I'm still there.
Speaker 1: I'll still be on YouTube. You can still watch me
Speaker 1: and listen to me on YouTube, both on the Market
Speaker 1: Disruptors YouTube channel and on my main Mark Moss YouTube channel,
Speaker 1: so you can watch me listen to me there. You
Speaker 1: can still listen to me over on the podcast the
Speaker 1: Mark Moss Show, So think of it as a radio
Speaker 1: on demand, right, You can just listen to it whenever
Speaker 1: you want. But the radio show is dying and dead.
Speaker 1: Well it's not dying, as a matter of fact, it's
Speaker 1: not dying at all. It's been growing, but I'm deciding
Speaker 1: to kill it. And the reason why, I guess partly
Speaker 1: is technology. Right when I first got recruited by our
Speaker 1: Heart Media to do the radio show a couple of
Speaker 1: years ago, it was when Rush Limbaugh, who was the
Speaker 1: kingpin of radio, still dominated the airwaves, and you know,
Speaker 1: they said, hey, Rush Limbaugh's dead, and you know there's
Speaker 1: this void sort of in radio and maybe you could
Speaker 1: move into this radio spot. And I was like, people
Speaker 1: still listen to radio, Like that's still a thing, right.
Speaker 1: I haven't listened to radio in forever, And so you know,
Speaker 1: part of it was like, why am I stepping into
Speaker 1: something that's dying now? I hadn't planned to go down
Speaker 1: to this rabbit hole.
Speaker 2: Blee. Talk about this for a minute.
Speaker 1: So you know, I started making YouTube videos about five
Speaker 1: years ago, and I didn't have like a big grand
Speaker 1: scheme or big goal of what I was doing. Creating
Speaker 1: YouTube videos my immediate goal. Well, I talked about it.
Speaker 1: I was actually forced into my business partner at the time,
Speaker 1: I'd started doing YouTube videos and he forced me to
Speaker 1: do them with him. I didn't want to, but we
Speaker 1: had created a YouTube channel to sell our newsletter. We
Speaker 1: were writing a cryptocurrency research newsletter. And at the end
Speaker 1: of twenty seventeen December twenty seventeen, in the crypto cryptocurrency crackdown,
Speaker 1: the US government crackdown, they moved on the banks and
Speaker 1: social media. So Facebook and Google band all advertising for
Speaker 1: anything related to cryptocurrency, and so what were we to do?
Speaker 1: And so we created a YouTube channel just to start
Speaker 1: talking about cryptocurrency. My partner was running that and then
Speaker 1: he forced me to get on with him. So the
Speaker 1: immediate goal was like, let's just make some videos talk
Speaker 1: about our newsletter and see if people want to buy it. Which,
Speaker 1: by the way, i'm talking about a newsletter. It's not
Speaker 1: a cryptocurrency newsletter anymore. It's now a more broad just
Speaker 1: general investing newsletter. Of course, we still cover bitcoin and crypto.
Speaker 1: But that being said, I'd never intended that it would
Speaker 1: get me to where I'm at today, where I'm speaking
Speaker 1: on the biggest stages and you know, some of the
Speaker 1: business finance conferences, mentors of mine for like twenty five years,
Speaker 1: Like Robert Kiyosaki are now my good friend and iHeart
Speaker 1: recruited me to come.
Speaker 2: To a radio show.
Speaker 1: But the thing that kind of got me about it
Speaker 1: was that, you know, in the old in the old world,
Speaker 1: in the old economy, there were gatekeepers, and so because
Speaker 1: we didn't have technology, you needed the gatekeeper. You needed
Speaker 1: somebody to put you on to help you out, to
Speaker 1: build you out. So, for example, I would need a
Speaker 1: massive amount of money to build out a factory in
Speaker 1: order to start a business and make a product, or
Speaker 1: I would need somebody who had a factory to bring
Speaker 1: me onto their platform to let me build their The
Speaker 1: same was true with media. So in the old days,
Speaker 1: I needed ABC, CBS, CNN, Fox to give me a show.
Speaker 1: I needed a radio station to put me on their
Speaker 1: radio station. I needed this ESPN to put me on
Speaker 1: as a sportscaster, right But in the new economy, we
Speaker 1: don't need that. In the new economy, there is no
Speaker 1: gatekeepers because technology has changed that. And so I could
Speaker 1: literally I did literally start up a YouTube channel and
Speaker 1: just start talking directly to my core audience, and by
Speaker 1: bringing value directly to them, I could build up an audience.
Speaker 1: If I made good content, people would want to watch
Speaker 1: more of it. If I made bad content, they'd watch
Speaker 1: less of it. And it took away the gatekeeper. And
Speaker 1: it also changed the paradigm of how we even think
Speaker 1: about content content creators, which content creators weren't even a
Speaker 1: word at the time, but to think about like today,
Speaker 1: now it's still going, but it's dying. But it just
Speaker 1: seems weird to me today that like I would need
Speaker 1: to tune into any network shows. Not to point anybody out,
Speaker 1: but let's just say, like CNN or ESPN for that matter,
Speaker 1: use ESPN Sports are a little bit more neutral. But
Speaker 1: why would I tune into ESPN and watch their lineup
Speaker 1: of programming where it's very linear, where it's like, well, okay,
Speaker 1: well now we're covering pickleball and up next to tennis,
Speaker 1: and then after that we're gonna go to baseball, and
Speaker 1: then after baseball we're gonna go to IndyCar racing and
Speaker 1: it's like this linear format. But like, I don't want
Speaker 1: to watch my content like that. If I want to
Speaker 1: watch IndyCars, I just want to watch Indy Cars. I
Speaker 1: don't want to wait three hours for it to come
Speaker 1: on I don't want toatch watch pickleball first, or vice versa.
Speaker 2: If I want to watch.
Speaker 1: Pickaball, I don't want it to go to IndyCars later.
Speaker 1: And so the idea behind needing, the whole idea behind
Speaker 1: the network is archaic in my opinion, of having this
Speaker 1: pre configured lineup when today everything's on demand. And so anyway,
Speaker 1: technology change the way we consume content broke down sort
Speaker 1: of the gatekeeper of the network itself. And then of
Speaker 1: course it's also evolved past radio. I put this on
Speaker 1: my Instagram today. If you're not following money on Instagram,
Speaker 1: check me out at Mark Moss and I put up
Speaker 1: just a story talking about today would be my last
Speaker 1: day recording radio. And I put the song over it
Speaker 1: that video killed the radio star if you guys know
Speaker 1: that song, but video killed the radio. So here, I
Speaker 1: was recruited by a heart a network to build a show,
Speaker 1: but I'm already generating millions of views on my own
Speaker 1: without a network. What do I need iHeart for? But anyway,
Speaker 1: I like to learn, I like to grow, let's do it.
Speaker 1: I've never done radio. I know it's an old paradigm,
Speaker 1: it's an old it's no model, but let's do it
Speaker 1: over the course of the last couple of years. It's
Speaker 1: done pretty well. I think we started in about twenty
Speaker 1: five markets and it grew. I think we grew up
Speaker 1: to about seventy five markets, which I think is pretty good.
Speaker 1: I don't have a lot to compare that to. If
Speaker 1: you've been in a radio a long time, maybe you'll
Speaker 1: know a little bit better than me. But it showed
Speaker 1: that there was demand in the market, there was some
Speaker 1: product market fit, and it grew. Now, part of what
Speaker 1: I think held back some of the growth, I would
Speaker 1: say is that because I talk a lot about bitcoining,
Speaker 1: cryptocurrencies and investing, we went through arguably one of the
Speaker 1: deepest and longest bear markets, right down markets in bitcoin
Speaker 1: and cryptocurrencies, and you throw in all the bad press
Speaker 1: with FTX and sam Bankman Freed and Celsius and terror
Speaker 1: lun and all of that. It really sort of gave
Speaker 1: the entire industry black eye, or more importantly, sort of
Speaker 1: sucked the energy the air out of that, and so
Speaker 1: that probably hurt the growth a little bit. Obviously, if
Speaker 1: I had been doing it two years of an up
Speaker 1: trend market, it probably would have done much better. Here
Speaker 1: we are in a downtrend market that probably affected a
Speaker 1: little bit, but that being said, it still grew, went
Speaker 1: from twenty five per centy five markets. But I'm just
Speaker 1: the amount of effort and work that it is for
Speaker 1: the radio show just to me at this point, after
Speaker 1: a couple of years of doing it isn't worth the
Speaker 1: effort and squeeze anymore. And so we've decided to go
Speaker 1: ahead and just pull that back. Even though it's growing,
Speaker 1: We're going to pull it back. And my goal is
Speaker 1: to focus on more better content, well not more better content,
Speaker 1: higher quality, lesser quantity. But I'm still going to be here.
Speaker 1: I'll still be on YouTube Mark Moss, I'll still be
Speaker 1: on YouTube Market Disruptors, and I will still be on
Speaker 1: the podcast at the Mark Mass Show. Now I'm going
Speaker 1: to cover more technology. We're talking about the shift in
Speaker 1: technolog I'm going to tell you about new technology I'm
Speaker 1: using that's exploding my productivity and how it fits into
Speaker 1: this paradigm of this decentralized world. You don't want to
Speaker 1: miss this. If you want to improve your productivity and
Speaker 1: your profits, more work, more leverage, less time spent working,
Speaker 1: then you want to hear what I have to say
Speaker 1: I'll be back in a minut after a very short break.
Speaker 2: Don't go away, all.
Speaker 1: Right, Welcome back. So if you're just tuned in, you're
Speaker 1: listening to the Mark Mass show. We're talking about They
Speaker 1: always talk about the intersection of politics, finance, and technology.
Speaker 1: We're sort of focusing more on technology today, and I
Speaker 1: was talking about I am changing my technology platform from
Speaker 1: old school radio and we're going to be going just
Speaker 1: to podcast and YouTube so it's more interactive and I
Speaker 1: can get directly out to you, better quality content, less
Speaker 1: work for everybody involved.
Speaker 2: I'm pretty side about.
Speaker 1: This this shift. So I'll still be with you, just
Speaker 1: not here on the radio if you're listening on the radio.
Speaker 1: But today I want to talk about AI. I want
Speaker 1: to talk about artificial intelligence, and I want to talk
Speaker 1: about it from a couple different standpoints. One, obviously, it's
Speaker 1: always technology that changes the world. I say this all
Speaker 1: the time, because it changes the way that we work,
Speaker 1: the way that we communicate, the way that we interact,
Speaker 1: change the way that we organize. All right, So it's
Speaker 1: always technology. And if we look back through thousands of
Speaker 1: years of history, I use these examples all the time,
Speaker 1: we can see how they're also not only do they
Speaker 1: change the world, they change sort of in this pendulum
Speaker 1: that swings from centralization back to decentralization. So each technology
Speaker 1: sort of does this, and this AI technology is at
Speaker 1: the coming out right in this decentralized pendulum pivot. So
Speaker 1: we have decentralized technologies like Bitcoin, decentralized protocols, decentralized communication
Speaker 1: protocols like Noster, and this is really helping the pendulums
Speaker 1: swing back from full centralization back to decentralization. And now
Speaker 1: we also have AI. Now AI chat GPT, Google's Gemini,
Speaker 1: which I've been using the last couple weeks, which is
Speaker 1: actually really good for some things. Some people might say
Speaker 1: they're not real AI, either LMS or large language models,
Speaker 1: something like that. Whatever you want to call it, we're
Speaker 1: just going to call it AI for now. It has
Speaker 1: definitely changed the world. Now is this centralizing or decentralizing.
Speaker 2: It's both.
Speaker 1: It's decentralizing because now as Sam Maltman, the founder of
Speaker 1: open Ai, came out and said he believes it will
Speaker 1: finally see the first billion dollar single person business because chat,
Speaker 1: GPT or large Language models or Gemini, whatever you want
Speaker 1: to say. Because AI is now able to make us
Speaker 1: so much more productive and so much more efficient. It
Speaker 1: will have a decentralizing force. So in order to make
Speaker 1: a billion dollars in the old economy, you would have
Speaker 1: had to build a giant factory. Lots of people have
Speaker 1: mass production, right, so it's very centralized, and everybody moves
Speaker 1: into these cities, into these factories, and you have these
Speaker 1: large mass manufacturing plants. But today, to the point he's
Speaker 1: making is you can have a solo priner, let's just
Speaker 1: call it that, a single person business that could do
Speaker 1: a billion dollars. And so instead of having one business
Speaker 1: where you know, thousands of people work at, or tens
Speaker 1: of thousands people work outstead of one business, now you
Speaker 1: can have ten thousand businesses. So it's very decentralizing. Now,
Speaker 1: that is what the power of this, But at the
Speaker 1: same time, it's somewhat centralizing because who controls the language
Speaker 1: model the LM. The LM, the AI has to be
Speaker 1: trained and it has to be fed information for it
Speaker 1: to absorb to have that information to recite back out.
Speaker 1: And so whoever controls that AI, whoever can whoever feeds
Speaker 1: that and controls it, then can control lots of people
Speaker 1: because if we're all now depending on chat GBT or
Speaker 1: Gemini or whicheveryone's happened to pop up afterwards. Then that
Speaker 1: is a very centralizing force. So you can see that
Speaker 1: it's a little bit of a complex issue here, But
Speaker 1: I want to dig into a little bit more specifically
Speaker 1: today some of the ways. Let's see, we're going to
Speaker 1: talk about some of the fallacies that I think a
Speaker 1: lot of people are understanding this all wrong, and part
Speaker 1: of the fallacies are keeping them from really taking advantage
Speaker 1: of what's happening here. I want to talk about some
Speaker 1: of the risks and fears that I think are misplaced,
Speaker 1: and I think we need to understand them better. And
Speaker 1: it's one of those things where you either jump on
Speaker 1: it and get ahead or you fall behind.
Speaker 2: I want to talk.
Speaker 1: About ways specifically that you can use it. I want
Speaker 1: to talk about way specifically that I'm using it right,
Speaker 1: and then we'll talk about understanding some of the limits
Speaker 1: that it has and how to navigate some.
Speaker 2: Of the challenges and things like that.
Speaker 1: All right, So that's kind of the outline of what
Speaker 1: we're going to talk about. If you will hear for
Speaker 1: a moment, and part of this, like I said, it
Speaker 1: is a little bit different than what I normally do,
Speaker 1: but I've just been using it so much more lately
Speaker 1: nowhere and near an expert nowhere inro an expert. But
Speaker 1: maybe I'm a couple steps ahead of you. And so
Speaker 1: let me give you some ideas. Now, First of all,
Speaker 1: it's only been fourteen months. It's only been fourteen months
Speaker 1: since Chat, since Chat GPT was released into the world.
Speaker 1: It's crazy how fast time flies, and it's amazing how
Speaker 1: big of an impact it's already made. But there was
Speaker 1: all types of fallacies, false beliefs that came out as
Speaker 1: soon as it came out. And I want to break
Speaker 1: a couple of these down before we dive in here
Speaker 1: so you can understand this. Some of the fallacies that
Speaker 1: we have is that AI, Chat GPT, Jimini whatever, AI
Speaker 1: is not going to make everybody smarter. As a matter
Speaker 1: of fact, it's going to do the opposite. You hear
Speaker 1: a lot about the middle class. We used to have
Speaker 1: this strong middle class in the United States and it
Speaker 1: all got hollowed out.
Speaker 2: And why did it get hauled out?
Speaker 1: Well, the narrative is that all those jobs got sent
Speaker 1: over to China, which is partly true. A lot of
Speaker 1: those manufacturing jobs did get outsourced.
Speaker 2: So that's a big piece of it.
Speaker 1: A bigger piece of it is because of the technology.
Speaker 1: You see, I talked about just earlier how the previous
Speaker 1: technology revolution that we had, which was the industrial revolution,
Speaker 1: moved everybody into cities and factories onto assembly lines. And
Speaker 1: the assembly lines made everybody work about the same. So
Speaker 1: whether you were way smarter or way dumber, we were
Speaker 1: all in the assembly line doing the same thing.
Speaker 2: And so instead of.
Speaker 1: Having this the smart people over here and the dumb
Speaker 1: people over here, the motivated, hard working people here, the
Speaker 1: lazy people over here, whatever you want to however you
Speaker 1: want to divide that, maybe dumb is unmotivated. But rather
Speaker 1: than split them up on the assembly line, it allowed
Speaker 1: them all to do the same thing. Let's just put
Speaker 1: them all together and make them equal equality. It's great, right,
Speaker 1: and so that this giant middle class. The problem is
Speaker 1: that we're no longer in the We're no longer in
Speaker 1: the industrial age. Again, technology is what changes things. We're
Speaker 1: no longer in the industrial age today, we're in the
Speaker 1: information age. And so instead of us you and I
Speaker 1: working on the assembly line together, now we're working independently.
Speaker 1: Back to Sam Altman's talk quote about Open Eye. He
Speaker 1: thinks will have the first billion dollar single person company.
Speaker 1: So if one person is very smart and very motivated,
Speaker 1: they could create a billion dollars worth of value and
Speaker 1: they don't need all those other people. And that is
Speaker 1: what continues to create this gap, this wealth gap, where
Speaker 1: smarter people that leverage technologies and work harder, work more
Speaker 1: focused start to pull ahead in the information aigen it's
Speaker 1: the true meritocracy. They start to pull ahead from the
Speaker 1: people who are less motivated, less hard working, and less educated.
Speaker 1: So no, AI is not going to make everybody smarter.
Speaker 1: It's going to make smart people smarter, and it's going
Speaker 1: to make mediocre and dumb people dumber. They're going to
Speaker 1: continue to fall further behind. So this is going to
Speaker 1: continue to widen the gap, the income inequality gap, which
Speaker 1: I think is okay. I think everybody's looking at the
Speaker 1: wrong thing. So rather than be mad about it, we're
Speaker 1: going to talk about how you can use this, you
Speaker 1: can be part of that revolution. The other reason why
Speaker 1: it's the other fallacy, and part of the reason why
Speaker 1: it's not going to make everybody smarter, is because everybody
Speaker 1: doesn't have good questions to ask. You see, all the
Speaker 1: LLM can do that AI can do is respond back
Speaker 1: to you. I like to say very often you've probably
Speaker 1: heard me that the quality of your life comes down
Speaker 1: to the questions that you ask. But most people ask
Speaker 1: very bad questions. I get thousands of questions every single
Speaker 1: week across my social media platforms.
Speaker 2: I know I see them.
Speaker 1: The questions are so broad and lacking any type of
Speaker 1: intentionality that there's no way somebody can get back.
Speaker 2: A good answer.
Speaker 1: If you're just tune in, you're listening to the Mark
Speaker 1: Moss Show. We're talking about how technology changes the world
Speaker 1: and the technologies change the world. We talk about bitcoin
Speaker 1: typically we're talking about AI, and we're gonna talk about
Speaker 1: how it's changed in the world and how you can.
Speaker 2: Take advantage of it. You don't want to miss this,
Speaker 2: don't go away. I'll be right back. All right, welcome back.
Speaker 1: If you just tune in, you're listening to the Mark
Speaker 1: mass Show. We're talking about how technology changes the world,
Speaker 1: and right now we're talking about AI. You know, llm's
Speaker 1: large language models, chat GYBT, Jimini, et cetera. And I
Speaker 1: was running through some of the fallacies. So first of all,
Speaker 1: it's not gonna make everyone smarter. Part of the reason
Speaker 1: why is because most people don't have good questions. Like
Speaker 1: I said, I see thousands of comments every single week
Speaker 1: across my platforms. It's kind of like my finger on
Speaker 1: the pulse. Well maybe it's the finger of the pulse
Speaker 1: on my audience. But I see so many bad questions.
Speaker 1: And what are bad questions? Questions are very broad right,
Speaker 1: non specific. So for example, mark what books should I read?
Speaker 1: What books should you read?
Speaker 2: For what?
Speaker 1: Right? Like, think about how in precise that question is.
Speaker 1: I read all kinds of books, but it depends on
Speaker 1: what I want to learn. So when I'm hiring people,
Speaker 1: I'm reading books on human resources, I'm reading books on recruitment.
Speaker 2: Right.
Speaker 1: If I'm trying to scale my marketing, I'm reading books
Speaker 1: on marketing. If I'm trying to buy a new piece
Speaker 1: of real estate, I might be reading real estate books.
Speaker 1: So it's if you ask me something more specific, if
Speaker 1: you had something more specific in your head, then you
Speaker 1: can ask a more specific questions you get a backup
Speaker 1: better answer. So let me give you an example of this.
Speaker 1: Chechipt is so broad you can do like almost anything.
Speaker 1: The problem is when you're given almost every option, you
Speaker 1: don't know what to do. Analysis prolysis sets in. So
Speaker 1: when chechipt first launch or open ai first launch, there
Speaker 1: was a app that was created called Lensa. This Lensa
Speaker 1: app would be would allow you to take a picture
Speaker 1: of yourself and then it would return to you like
Speaker 1: ten Ai, generated images of yourself, setting like different different themes,
Speaker 1: and it was like ten bucks and it blew you
Speaker 1: up within like days. It was generating millions of dollars.
Speaker 1: It got a billion dollar valuation, I believe, like instantly.
Speaker 1: But here's the thing. All it was doing was using
Speaker 1: open Ai or it was using a different image generation one,
Speaker 1: but it was using an open source image generation model,
Speaker 1: and it was using an API. So they were only
Speaker 1: selling you what you could have already done.
Speaker 2: For free on your own.
Speaker 1: So why would somebody pay them when they could just
Speaker 1: go do it for free on their own. The reason
Speaker 1: why is because people, when given unlimited options, don't know
Speaker 1: what to do. So what lens that did is created
Speaker 1: a very narrow use case where you can do one thing,
Speaker 1: upload a picture, get TENBAC. The other thing is that
Speaker 1: you have to be creative, you see, in order to
Speaker 1: ask good questions. You have to have some base knowledge
Speaker 1: will come back to that, but you also have to
Speaker 1: have some create creativity. If you're saying everyone thinks they're
Speaker 1: gonna be so smart with chat Gibt, like, write me
Speaker 1: a book, Write you a book about what? What subject
Speaker 1: is the book about? Who is it meant to be
Speaker 1: aimed towards? Who's the reader? What is the goal for
Speaker 1: you to get, you know, to move that reader through
Speaker 1: the process. What type of tone should I write to
Speaker 1: that reader in? I mean, there's so many more questions,
Speaker 1: but most people have never thought through this. And then,
Speaker 1: as I said, you have to have some domain expertise.
Speaker 1: So for example, I talk mostly about you know, finance
Speaker 1: and investing. And if I said, hey, Chutch, you PT
Speaker 1: build me the best portfolio like and what is even best?
Speaker 1: It doesn't even know that best for who, best for when?
Speaker 2: Best for what?
Speaker 1: Like?
Speaker 2: It doesn't know.
Speaker 1: But if I were to say, hey, Chutch, you pt
Speaker 1: during times of high inflation and low economic growth and
Speaker 1: government debt exceeding one debt to GDP, what assets work
Speaker 1: best in that environment? Well, see, now I can that's
Speaker 1: a much more precise question. It give me a much
Speaker 1: more precise answer back, but I would have to have
Speaker 1: domain expertise to even know to prompt it that way.
Speaker 1: So you think of chat GBT as more of like
Speaker 1: a compliment to yourself, which is why I said it's
Speaker 1: going to make smart people smarter. It's not going to
Speaker 1: make dumb people smarter. Now it can, and I'm going
Speaker 1: to tell you how to do this, all right, it can,
Speaker 1: but it's just going to take a longer, a longer path.
Speaker 1: But I'm gonna tell you how to do that. But
Speaker 1: a couple things I just want to talk about real
Speaker 1: quick before we dive into how I'm using it, how
Speaker 1: you can use it, how you can actually use to
Speaker 1: make you smarter, and if you're already smart, you can
Speaker 1: use to make you like superhuman smart. First of all,
Speaker 1: let's just talk about some of the risk and fears here, right, So, Like,
Speaker 1: because I talk about technology and I talk about three
Speaker 1: thousands of years of history, it's always technology that changes
Speaker 1: the world. I can tell you that every time there's
Speaker 1: a new technology, people are scared of it. Every single time.
Speaker 1: In my book The Uncommunist Manifesto, my co author and I,
Speaker 1: Alex Fetzky, we wrote and we talked about Karl Marx,
Speaker 1: which wrote the Communist Manifesto, and that was set back
Speaker 1: in the eighteen hundred, sort of right right around this
Speaker 1: turning of the Industrial Revolution.
Speaker 2: And he wrote something. He wrote a couple chapters.
Speaker 1: I wrote a couple chapters, and then we rewrote each other,
Speaker 1: so we sounded like both of us. And in one
Speaker 1: of his chapters he used he talked about the Luddites,
Speaker 1: and I thought the Luddites was like a derogatory term
Speaker 1: that we just like made up, and I kind of
Speaker 1: called it on and I didn't know bad on me.
Speaker 1: But the luted Heights were actually a group of people,
Speaker 1: and the lud Heightes were a group of people that
Speaker 1: destroyed technology. They were afraid of technology, they destroyed it.
Speaker 1: So what happened is, back before we had machines, we
Speaker 1: basically just worked in the farming agriculture industry and we
Speaker 1: worked in like the cottage industry, textiles things like that,
Speaker 1: and they would make tapestries and fabrics, and there was
Speaker 1: a new invention called the power loom, and the power
Speaker 1: loom would allow them this is not a machine, but
Speaker 1: it was just like a tool that they could make
Speaker 1: a loom tool, so they could do their tapestries faster,
Speaker 1: and the lud Heights saw that and they were afraid
Speaker 1: of it because it was gonna it was going to
Speaker 1: be able to do the work of like dozens of people.
Speaker 1: And they said, we can't have this. What are all
Speaker 1: these dozens of people going to do if we replace
Speaker 1: it with the loom? So the Ludites went and like
Speaker 1: burned them down.
Speaker 2: They destroyed the looms, right.
Speaker 1: But that's his example of every time there's a new technology,
Speaker 1: people are afraid of it. I've been down to Central
Speaker 1: America many times. I go down there surfing quite regularly.
Speaker 1: I'm going down to Nicaragua, and a couple of times
Speaker 1: I went down to nicker Rogua. Every time I went down,
Speaker 1: they're still working on the same road and they're like
Speaker 1: they're literally like putting like brick by brick by brick
Speaker 1: in under this road. And I asked the guy after
Speaker 1: going back and they're still working on the road, I'm.
Speaker 2: Like, what are they doing?
Speaker 1: Like can't they just get like a tractor down here
Speaker 1: and just like get this done next and the next week?
Speaker 1: And he said, yeah, but what are all the people
Speaker 1: going to do for work? The candle makers were afraid
Speaker 1: that electricity was gonna take away their ability to make candles.
Speaker 1: The buggy makers were afraid of the automobile that it
Speaker 1: would take away the work. When the Industrial Revolution came,
Speaker 1: a machine could do the work of five thousand men,
Speaker 1: What are those five thousand men going to do?
Speaker 2: Well?
Speaker 1: It turns out they'll do higher value tasks like science
Speaker 1: and medicine, things like that. So it's always been that way.
Speaker 1: Calculators were first introduced, and people were afraid that it
Speaker 1: was going to mess up people's ability to do calculations
Speaker 1: in their head. And just like calculators, chech gbts is
Speaker 1: designed to be a tool that augments human capabilities, it
Speaker 1: doesn't replace them, So think of it as enhancing your
Speaker 1: human potential and not replacing. Now, I'm not talking about
Speaker 1: Elon Musk putting chips.
Speaker 2: In your brain.
Speaker 1: That's like a whole other conversation, the one that I'm
Speaker 1: not excited about. Let's just say that I don't like
Speaker 1: I'm not really liking the man in machine transhumanism type stuff.
Speaker 2: But I'm not talking about that right now.
Speaker 1: I'm talking about tools that I can use to enhance
Speaker 1: my human potential. For example, on my phone, I use
Speaker 1: the app.
Speaker 2: Ways all the time. I don't know if you guys know
Speaker 2: that Waze.
Speaker 1: And I use it all the time because using technology
Speaker 1: like social media and things like that, it can tell
Speaker 1: me where traffic accidents are, where traffic congestion is, and
Speaker 1: so if I'm driving somewhere, it can say, hey, Mark,
Speaker 1: there's an accident here, traffic congestion here, Take this other
Speaker 1: road instead, And so that piece of technology has enhanced.
Speaker 2: My human potential.
Speaker 1: That makes sense, So think about it like that. All right, Now,
Speaker 1: let's talk about what if you're not that smart, what
Speaker 1: can you do with it?
Speaker 2: Well, you can use it to.
Speaker 1: Get smarter, So let's talk about that first, and I'll
Speaker 1: talk about how I'm using it. So, for example, if
Speaker 1: you think about it as maximizing your efficiency to achieve
Speaker 1: your goals, then you can use it like that. So
Speaker 1: for example, you could think about what do you want
Speaker 1: to do now, or what is it that you want
Speaker 1: to learn, or what are things that you want to
Speaker 1: focus on, What action do you want to take, what
Speaker 1: do you want to change? Right, So you can start
Speaker 1: thinking about that and then you can ask it questions.
Speaker 1: You can think of chatgybt as a or Gemini've been
Speaker 1: using Gemini a lot more lately, and I think it's
Speaker 1: got way better results for certain things. It can't do
Speaker 1: things CHATGYBT can, But for example, you can talk to
Speaker 1: it like a coach or a mentor or a guide, right,
Speaker 1: And so you could say you could ask it questions
Speaker 1: like you can just ask it for example, Hey, I'm
Speaker 1: thinking about losing weight. What are the things I should
Speaker 1: think about?
Speaker 2: Right?
Speaker 1: Or you can say, hey, I'm thinking about losing weight.
Speaker 1: How can I prompt you? How can I ask you
Speaker 1: to help me better? Like these are things that you
Speaker 1: can do. Now, if you're tuning in, you're listening to
Speaker 1: the Mark Ma Show, I got to take a very
Speaker 1: quick break. I'm going to come back and I'm going
Speaker 1: to give you some more practical tips on how you
Speaker 1: can use this to become more superhuman. Don't go away,
Speaker 1: bear back, all right, welcome back. If you just tune in,
Speaker 1: you're listening to the Mark Mas Show. We're talking about technology.
Speaker 1: We talk about technology a lot, finance, technology, politics, but
Speaker 1: we're talking about technology and how it's changing the world.
Speaker 1: And we're talking specifically about sort of these new ais
Speaker 1: chat GBT, Jim and I fill in the blank. We've
Speaker 1: gone through a lot I'm not going to recap that,
Speaker 1: but I want to give you some practical stuff on
Speaker 1: how I am using it right now to make myself
Speaker 1: more superhuman if you will, right to augment to make
Speaker 1: myself more efficient. So, first of all, you can think
Speaker 1: of it like a coach. So I already said that
Speaker 1: the quality of a life comes down as the question
Speaker 1: that you ask, and most of you don't have the
Speaker 1: domain expertise to ask it the specific questions you need,
Speaker 1: so you can start earlier and you can you can.
Speaker 2: Use it to train you. You can use it to
Speaker 2: teach you.
Speaker 1: So if you don't have the domain expertise, like I said,
Speaker 1: I gave a financial example for you know, if you
Speaker 1: don't have that, you can just ask it. I use
Speaker 1: it as as a coach. I use it as a mentor.
Speaker 1: I use the advisor depend on what I'm trying to do.
Speaker 1: So for example, what I've been using it for, I've
Speaker 1: been using it for like audience research. I talk about
Speaker 1: these topics. This is my angle, this is who I am,
Speaker 1: this is where I'm from. Who is the ideal audience
Speaker 1: for this? And then it gives me ideal audience and
Speaker 1: then I'll go back and forth A lot of it
Speaker 1: comes through the optimization. Ask it multiple questions. Then I'll say, okay, great,
Speaker 1: now we have this audience.
Speaker 2: What are their main desires? What do they want to achieve?
Speaker 2: What are their main fears? What are the main objections? Right?
Speaker 1: So, like lots of audience research, I use it to
Speaker 1: find like historical parallels.
Speaker 2: Hey, this is happening.
Speaker 1: So I kind of talked about like, hey, at a
Speaker 1: time of like high inflation, low economic growth, debt to
Speaker 1: GDP ratios, what periods of history align with this?
Speaker 2: What happened at that time?
Speaker 1: Right?
Speaker 2: Things like that.
Speaker 1: I can use it to help me find like definitions
Speaker 1: or concepts. So like let's say financial concepts for example.
Speaker 1: One that gets thrown around is like let's say like
Speaker 1: fiscal dominance. You might have heard that before, Like what
Speaker 1: exactly is fiscal dominance? What does fiscal dominance mean to
Speaker 1: the economy, to the Federal Reserve, the central banks?
Speaker 2: What does it mean to me?
Speaker 1: Are what times in history have we seen fiscal dominance?
Speaker 1: In times of fiscal dominance? What should I be paying
Speaker 1: attention to?
Speaker 2: How could I?
Speaker 1: Right? So there's a lot that I can do there,
Speaker 1: but you really have to think about asking more precise questions.
Speaker 1: And if you don't know the right question to ask,
Speaker 1: you can ask it question.
Speaker 2: You should ask.
Speaker 1: Some of the things that you can do. You can
Speaker 1: upload information, so like I've uploaded a lot of my
Speaker 1: writing and a lot of my videos, and so now
Speaker 1: when I ask it to write something for me, you
Speaker 1: can write it in my voice. Now, a couple of
Speaker 1: pro tips here that I've learned is that again back
Speaker 1: to the more specific and precise your question is the
Speaker 1: better you're going to get back. So I say, here
Speaker 1: is the role that you're in. You are an expert researcher.
Speaker 1: You are a professional copywriter. You are a financial analyst.
Speaker 1: So first you give it the role, then you give
Speaker 1: it the job you want it to be done. You
Speaker 1: are a professional, you're a financial analyst. Your job is
Speaker 1: to evaluate this data. Your job is to write this newsletter.
Speaker 1: Your job is to whatever. And then who the job
Speaker 1: is for. So your job is a professional copywriter. The
Speaker 1: job is to write a piece of copy. You're writing
Speaker 1: it for this person, this avatar, this group of people.
Speaker 1: And then what is the ultimate outcome? What I want
Speaker 1: is I want it to be a five hundred word article.
Speaker 1: I want it to be a spreadsheet I wanted to
Speaker 1: be a new infographic or image. Then what do I
Speaker 1: want If it's like writing and stuff like that, or
Speaker 1: if it's images, I say. If it's writing, I say,
Speaker 1: I want you to write it in a light conversational
Speaker 1: tone with a fifth grade level or lower, for example,
Speaker 1: or I want it to be written at a college
Speaker 1: grade level, depend on what it is, right in a
Speaker 1: very authoritative voice or a fun voice. If it's an image,
Speaker 1: I'll say I want it to be with a hard
Speaker 1: tech driven theme and using colors black, white, orange, and
Speaker 1: some blue.
Speaker 2: Right.
Speaker 1: And so I'm giving it the more precise I can
Speaker 1: give it, the more that I'm gonna get back to you.
Speaker 1: But the thing is is that really it comes down
Speaker 1: to mastering the art of good questions. Okay, another couple
Speaker 1: of things that I want to just warn you about
Speaker 1: is that understand that it can play that role to
Speaker 1: help help you. It can help you research, It can
Speaker 1: help you understand concepts and things like that, as we've
Speaker 1: already talked about. But you have to understand the limits.
Speaker 2: Okay.
Speaker 1: It cannot replace professional advice. It can be a good
Speaker 1: teaching tool, but don't take their word for it, especially
Speaker 1: on critical issues like for example, I might say, you
Speaker 1: know what happens when I don't what happens to my
Speaker 1: body when I don't eat for twenty four hours? And
Speaker 1: you know if I introduce fat only, does that break
Speaker 1: my fast?
Speaker 2: Right?
Speaker 1: And I might ask it questions like that, But I
Speaker 1: wouldn't say, like, give me a diet plan, because it's
Speaker 1: been fed on language that I probably don't agree with. Right,
Speaker 1: It's been given whatever the government puts out as like
Speaker 1: good health advice, and like I don't agree with that, right, So,
Speaker 1: like it's good for like researching, and that's why it's
Speaker 1: good to augment you. But if you're trying to have
Speaker 1: it tell you what to do, if you're if you're
Speaker 1: taking it like as professional advice, health advice, financial advice
Speaker 1: or whatever, it's probably gonna backfire. And I certainly wouldn't
Speaker 1: do that at all, because, like I said, it's who
Speaker 1: trained the model. What we can see is that both
Speaker 1: Chetchipt and Jim and I are very, very heavily biased.
Speaker 1: For example, we've seen several studies that show that Chatchipt
Speaker 1: has a massive left wing bias, favoring like the Labor Party,
Speaker 1: Joe Biden's Democrat Party, and so you just have to
Speaker 1: understand that. You also would understand that, like I said,
Speaker 1: it's been trained in one type of medical advice. And
Speaker 1: so rather than like say, give me medical advice, what
Speaker 1: I'd do is I'd use it as my research, right,
Speaker 1: I'd use it to give me perspective, a supplementary source
Speaker 1: of income, but not, like I said, as a definitive tool.
Speaker 1: All right, Now back to sort of some of these fears. Now, well,
Speaker 1: let's just talk about so, like already, just in the
Speaker 1: last couple of months, I've been using it more and
Speaker 1: more and more, and there are some fears here. So
Speaker 1: technology does make us dependent on them. Back to that
Speaker 1: example of the calculator, people were afraid that it would
Speaker 1: people would start to pan on the calculator and they
Speaker 1: wouldn't be able to do the calculations of their head
Speaker 1: as much.
Speaker 2: That's true.
Speaker 1: One thing that I've noticed that I'm not particularly happy
Speaker 1: about is I do a lot of outdoor stuff. I
Speaker 1: lead dirtbike tours down in Mexico, and I've been doing
Speaker 1: dirt bike tours across the open desert for now about
Speaker 1: twenty years. And I'm pretty good at navigating my whole life.
Speaker 1: I've been pretty goodt navigating. I know where I'm at,
Speaker 1: I have a good sense of direction. But as I
Speaker 1: just told you earlier, I'm using that ways app all
Speaker 1: the time. Now, I've been using Google Maps and Ways
Speaker 1: App for so long, and I can tell that my
Speaker 1: navigation skills are nowhere.
Speaker 2: Near as good as they used to be.
Speaker 1: Like if I used to drive to someone's house, I
Speaker 1: knew how to get there, and now because I used
Speaker 1: Ways to get there, I forget how to get places.
Speaker 1: And so my over reliance on technology has weakened my
Speaker 1: ability for self navigation.
Speaker 2: Some of the.
Speaker 1: Fears that I'm afraid of is I've been using it
Speaker 1: so much more lately to help me do market research,
Speaker 1: to help me come up with new concepts, to help
Speaker 1: me rewrite titles or come up with storylines and things
Speaker 1: like that.
Speaker 2: And it's so much faster, and it's.
Speaker 1: So much more efficient, and in a lot of cases
Speaker 1: it's really dang good. But I'm afraid that it will
Speaker 1: it will weaken my own ability to.
Speaker 2: Do the creative thinking.
Speaker 1: Now it's a different type of creative thinking, Like I
Speaker 1: have to become more creative in order to enable it,
Speaker 1: in order to prompt it. So it's a different type
Speaker 1: of creative thinking. But you know, it could certainly lower
Speaker 1: my ability or that skill that I've developed over the
Speaker 1: last whatever my career to really think through these properly.
Speaker 1: So you know there is some of that, but you
Speaker 1: have to understand that that's all part of it. So
Speaker 1: like sure, being able to buy clothes at the store
Speaker 1: took away my ability to make.
Speaker 2: My own clothes.
Speaker 1: Okay, that's the trade off I'm willing to make. I'll
Speaker 1: make that trade off all day, right, So we have
Speaker 1: to understand that, Like I don't have the ability to
Speaker 1: grow my own food because I just get my food
Speaker 1: at the store. So technology just changes things.
Speaker 2: We have to understand that.
Speaker 1: And you can choose to be mad at it and
Speaker 1: get left behind, or you can choose how to use
Speaker 1: it and get ahead.
Speaker 2: Same with bitcoin.
Speaker 1: A lot of people just don't want to believe in
Speaker 1: bitcoin and they're just getting further and further behind. People
Speaker 1: don't understand the AI, They're getting further and further behind.
Speaker 1: And the best way to get involved with both is
Speaker 1: to just jump in.
Speaker 2: Start small.
Speaker 1: Buy five dollars worth of bitcoin by five bucks, try
Speaker 1: it out, jump on CHATGPT or Gemini, try it out,
Speaker 1: ask it a couple questions. The best way is just
Speaker 1: to get started and then play with it. Play with
Speaker 1: it with an open mind, with a curious mind. Don't
Speaker 1: be afraid. Now, we don't know the future. Could it
Speaker 1: one day turn out to be something better it?
Speaker 2: It might, We don't know.
Speaker 1: Maybe you and I could have something to do to
Speaker 1: influence it and not have it turn out that way.
Speaker 1: But you won't be able to do that unless you're
Speaker 1: already using it and you know how to use it.
Speaker 1: All right, if you're just tune in your listening to
Speaker 1: the Mark Mos Show, we're talking about always the intersection
Speaker 1: of technology, finance, and politics. Today we're talking about technology
Speaker 1: and how you can either use it and get ahead
Speaker 1: or you cannot use it and fall further behind. Hopefully
Speaker 1: you're in the group it gets further ahead. I certainly am,
Speaker 1: and that's what I got. Thanks so much for listening today.
Speaker 1: Hit me up on social media let me know you're listening.
Speaker 1: Thanks for the support. Until the next time,