WEBVTT - Is AI Here to Destroy Civilization?

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<v Speaker 1>Hello, and welcome to another episode of the Markmas Show,

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<v Speaker 1>where we talk about the decentralized revolution each and every week,

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<v Speaker 1>talking about the way the world is changing, and of

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<v Speaker 1>course we want to understand that, not just because it

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<v Speaker 1>brings us some peace, so we kind of understand what's

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<v Speaker 1>going on, but more importantly, we're trying to figure out

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<v Speaker 1>how to navigate this correctly. Where should we live, what

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<v Speaker 1>should we buy, how do we invest, what type of

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<v Speaker 1>business should we run? How do I plan for my family?

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<v Speaker 1>And all these things, and so as this world is

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<v Speaker 1>changing rapidly, we need to be in front of these things,

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<v Speaker 1>and so we're talking about the decentralized revolution. The world

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<v Speaker 1>changes on a pendulum about every two and fifty years

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<v Speaker 1>from the centralized structure to a decentralized structure, and we

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<v Speaker 1>look at it through the lens of politics, finance, and technology.

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<v Speaker 1>We look at through the lens of those three things,

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<v Speaker 1>because when you're looking at complex systems like the body,

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<v Speaker 1>complex systems like the economy, like the markets, like the

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<v Speaker 1>geopolitical world, you can't just look at one small piece

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<v Speaker 1>of it. That's the problem with modern medicine, right you

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<v Speaker 1>have these special going into be a specialist in cardiac care,

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<v Speaker 1>for example, But all they do, they're this specialist in that,

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<v Speaker 1>but they haven't looked at the total body overall, and

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<v Speaker 1>so a lot of times they miss things because they

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<v Speaker 1>don't have enough of the other information. And so the

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<v Speaker 1>body is complex, the markets are complex, and so we

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<v Speaker 1>look at through the lens of those three things, politics, finance,

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<v Speaker 1>and technology. Now, technology is the thing that changes the

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<v Speaker 1>world more than anything else. When we look back through

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<v Speaker 1>thousands of years of history, we see it's always technology

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<v Speaker 1>that changes things. And technology changes things, it changes us,

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<v Speaker 1>and then we're changed because of that, and then we

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<v Speaker 1>have different problems than technology comes to solve those. But

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<v Speaker 1>it also typically changes the way that we organize ourselves

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<v Speaker 1>from a decentralized world to a centralized world. And so

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<v Speaker 1>today I want to talk about that piece specifically, where

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<v Speaker 1>we're going to talk about the technology, and we normally

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<v Speaker 1>talk about the decentralized technology of bitcoin, the decentralized revolutionary technology,

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<v Speaker 1>and bitcoin is giving us this decentralization at a time

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<v Speaker 1>as the world is trending back towards decentralization, which is

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<v Speaker 1>very interesting. But I want to talk about a different

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<v Speaker 1>technology today and the different technology that I want to

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<v Speaker 1>talk about today is could potentially be the opposite, the

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<v Speaker 1>antithesis of bitcoin, and I'm talking about AI. So while

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<v Speaker 1>Bitcoin is a decentralized technology that will help us start

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<v Speaker 1>to decentralize how we store our value, how we communicate

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<v Speaker 1>our value, how we transfer value, all those things, AI

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<v Speaker 1>is almost this centralizing technology where we could all become

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<v Speaker 1>very dependent on one or two of these big AIS,

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<v Speaker 1>which could be a problematic. So we'll see this kind

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<v Speaker 1>of shaping up. Now. I got a lot to cover today.

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<v Speaker 1>I want to get to two main companies that are

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<v Speaker 1>really pushing this AI, and one of them is a

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<v Speaker 1>very centralizing company, and one of them is a decentralized AI.

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<v Speaker 1>So we're gonna talk about that. We'll get to that

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<v Speaker 1>in a little bit, but I want to cover it

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<v Speaker 1>from a different angle. Now you might have heard, or

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<v Speaker 1>you might be expecting me to start to cover like

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<v Speaker 1>what it does and how you can use it and

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<v Speaker 1>will it replace your job and how much money can

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<v Speaker 1>you make from it and all those things, which are

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<v Speaker 1>all good things, and we could discuss those. I did

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<v Speaker 1>do a video on my main YouTube channel recently and

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<v Speaker 1>I kind of covered a lot of those topics. So

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<v Speaker 1>if you go to my main YouTube challenge of search

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<v Speaker 1>Mark Moss, you can find that video and you'll see

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<v Speaker 1>kind of what it is, how we can use it,

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<v Speaker 1>what potential it has, things like that. But I want

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<v Speaker 1>to talk about it from a different angle today, and

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<v Speaker 1>I want to look at how it could work in

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<v Speaker 1>this decentralized world that we're transitioned into. As we go

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<v Speaker 1>from this unipolar world where basically the kind of have

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<v Speaker 1>this one world government right this United States homogene this

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<v Speaker 1>you know, one world currency, the dollar, so to speak.

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<v Speaker 1>But now as the world's breaking apart and China's spinning

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<v Speaker 1>off and Russias spinning off and etc. How does it

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<v Speaker 1>work then as the world moves away from peace and

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<v Speaker 1>more towards decentralization, deglobalization, unipolar to a multipolar world, there's

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<v Speaker 1>going to be the more friction. It's gonna be more battle,

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<v Speaker 1>more competition, which in itself is maybe a good thing

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<v Speaker 1>the competition side, not if it leads to warfare, obviously,

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<v Speaker 1>But I want to talk about the potential for the

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<v Speaker 1>AI to really speed up this decentralized transition and what

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<v Speaker 1>that means. We're gonna talk about the US, China, artificial

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<v Speaker 1>intelligence arms race. We're gonna talk about potentially the problems

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<v Speaker 1>of AIS fighting AIS, talking about the potential for this

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<v Speaker 1>to really escalate into a cyber security problem, which of

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<v Speaker 1>course we hear the world that I'm going form talking

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<v Speaker 1>about all the time. And then we'll talk about it

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<v Speaker 1>from an investment standpoint where some of these investments are

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<v Speaker 1>who's invested into it? And then, as I said, I

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<v Speaker 1>want to get into kind of this open AI versus

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<v Speaker 1>decentralized AI. So I got a lot to cover now.

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<v Speaker 1>To frame this up a little bit, there's two big

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<v Speaker 1>a very broad general categories for AI. We have what

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<v Speaker 1>would be considered narrow AI and then broader general AI.

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<v Speaker 1>And so narrow AI is artificial intelligence, so it's it's

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<v Speaker 1>really machine learning where the computer, you know, the machine

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<v Speaker 1>the software is learning how to do things. And in

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<v Speaker 1>this narrow AI, you can train it to do very

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<v Speaker 1>specific and narrow tasks. So you could teach it how

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<v Speaker 1>to play chess, for example, right, you could give it

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<v Speaker 1>a document and tell you to write a summary of

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<v Speaker 1>that document. So those are narrow tasks that I can do.

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<v Speaker 1>Then there's what would be considered broader general AI, and

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<v Speaker 1>that is where it has to have like intelligence and

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<v Speaker 1>creativity that a human could have where it could build

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<v Speaker 1>its own experiences and opinions. And as far as I know,

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<v Speaker 1>and I've done quite a bit of research on this.

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<v Speaker 1>As a matter of fact, I had the pleasure the

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<v Speaker 1>opportunity to actually sit down with the vall Ramakon, who

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<v Speaker 1>is a Silicon Valley you know, venture capital legend. Let's

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<v Speaker 1>just say that I had a chance to sit down

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<v Speaker 1>and have this conversation with him face to face, and

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<v Speaker 1>according to my research, according to him, we are really

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<v Speaker 1>no closer into getting this broad general AI moving forward

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<v Speaker 1>than we have been in the last fifty years. So

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<v Speaker 1>we're making massive progress in this narrow AI, but not

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<v Speaker 1>so much progress in the general AI. And the reason

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<v Speaker 1>why I just want to lay that part out is

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<v Speaker 1>because a lot of people are very scared of this

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<v Speaker 1>AI where it's you know, the singularity moment where it's

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<v Speaker 1>going to become smarter than humans. We go into this

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<v Speaker 1>terminator like you know from the movie Terminator, where the

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<v Speaker 1>AI gets smarter than humans and then realize that, well,

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<v Speaker 1>humans are the problem, and let's just kill all the humans. Right.

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<v Speaker 1>That's kind of this narrative that's been brought out by

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<v Speaker 1>this singularity moment and by these terminator movies. I think

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<v Speaker 1>that is overblown. It's certainly overblown for now. For now,

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<v Speaker 1>we're certainly no closer to that becoming a reality than

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<v Speaker 1>we ever have been. Now, some people are saying maybe

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<v Speaker 1>by twenty forty, twenty fifty, we could be making progress

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<v Speaker 1>on that. So you know, we'll check back in on

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<v Speaker 1>that in twenty or thirty years from now. I probably

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<v Speaker 1>won't be here on the radio in twenty or thirty

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<v Speaker 1>years from now, but we'll check back in on that.

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<v Speaker 1>But for now, we have this narrow AI and it's

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<v Speaker 1>making massive, massive progress, and so there appears to be

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<v Speaker 1>an arms race happening right now. There's an article that

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<v Speaker 1>came out this week from a Harvard researcher warning that

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<v Speaker 1>the AI arms race could actually destroy civilization, which is

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<v Speaker 1>a pretty big claim. Now, it's obviously no surprise that

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<v Speaker 1>the US and China have been in a competitive war.

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<v Speaker 1>At least we'll say, I believe it's actually a financial war,

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<v Speaker 1>probably kicked off by the Trump era teriffs that we're

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<v Speaker 1>put into place. But there's this arms race going on now.

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<v Speaker 1>Each country is trying to spend more and more money

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<v Speaker 1>trying to get this AI going. In the year twenty

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<v Speaker 1>twenty one, the US government spent ten billion on AI

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<v Speaker 1>R and D nine point three, which came from the

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<v Speaker 1>Department of Defense. It's a pretty big number. Of course,

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<v Speaker 1>the Chinese public expenditures for AI is less transparent. They're

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<v Speaker 1>not transparent about anything, so we really don't know how

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<v Speaker 1>much money they spent. However, analysts are saying it's probably

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<v Speaker 1>about the same amount of money. So kind of racing

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<v Speaker 1>for this, it's trying to see which could go on,

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<v Speaker 1>which one could lead lead the pace here. But this

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<v Speaker 1>AI arms race carries potentially huge risk for both countries.

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<v Speaker 1>Of course, any arms race poses huge risk for any country.

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<v Speaker 1>The race to nuclear weapons or any weapons for that matter,

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<v Speaker 1>poses huge risk. But we're at this interesting point in

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<v Speaker 1>time where as we've seen arms races and warfare change,

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<v Speaker 1>it's become a lot more critical, a lot more dangerous

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<v Speaker 1>for all of humanity. So I'm gonna talk about that.

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<v Speaker 1>We'll get into this AI versus AI and cyberspace, cyber pandemics,

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<v Speaker 1>and some of the investment stuff. We'll come back with

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<v Speaker 1>all that. If you're just tuning in, you're listening to

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<v Speaker 1>the Mark Moss Show talking about the decentralized Revolution, talking

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<v Speaker 1>specifically about how this new artificial intelligence boom it's really

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<v Speaker 1>been accelerating the last about ninety days, is changing things

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<v Speaker 1>on that front. So I got a lot to cover

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<v Speaker 1>when I come back. Don't go away. I'll be right

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<v Speaker 1>back in just a minute. We're back, all right, Welcome back.

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<v Speaker 1>If you just tune in, you're listening to the Mark

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<v Speaker 1>Moss Show. We're talking about, of course, each and every week,

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<v Speaker 1>the decentralized revolution as we look at it through the

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<v Speaker 1>lens of politics, finance, and technology. Today we are diving

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<v Speaker 1>into the technology bucket and we're looking at how artificial

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<v Speaker 1>intelligence is playing a very crucial role as this world

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<v Speaker 1>continues to decentralize. Now we're talking about specifically how AI

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<v Speaker 1>could lead to this a new form of arms race.

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<v Speaker 1>It's a new weapon that could be used both both

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<v Speaker 1>defensively and offensively. Of course, we're yet to see how

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<v Speaker 1>this could play out. But part of the reason why

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<v Speaker 1>is because humans are no good at imagine in the future.

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<v Speaker 1>What humans do is we imagine better versions of what

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<v Speaker 1>we have today. We have cars today, we'll have flying

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<v Speaker 1>cars in the future. But we can't imagine or envision

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<v Speaker 1>new things because we don't have the building blocks to

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<v Speaker 1>build those things yet today, and so we just kind

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<v Speaker 1>of imagine things. So when we can sit here and speculate,

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<v Speaker 1>as I said, I was kind of reading this article

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<v Speaker 1>from this Harvard researcher talking about how it could destroy civilization. Well,

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<v Speaker 1>we don't really know how it could destroy civilization. He

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<v Speaker 1>doesn't really point any ways in how that could do that.

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<v Speaker 1>We just sort of have this speculation that, well, I

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<v Speaker 1>guess I saw the movie Terminator when I was a kid,

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<v Speaker 1>and so it could just destroy civilization like that, And

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<v Speaker 1>maybe it could. I just don't think we're there yet,

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<v Speaker 1>going back to that kind of narrow versus broad AI.

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<v Speaker 1>But another article that came out this week plenty of

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<v Speaker 1>fearmongrain here it says that soon AI will battle other

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<v Speaker 1>AI in cyberspace. This is from an Israeli expert. He's

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<v Speaker 1>predicting this, saying that artificial intelligence is expected to lead

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<v Speaker 1>to a spike in cyber attacks. Now, one reason why

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<v Speaker 1>I think this is important is because, of course, the

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<v Speaker 1>World Economic Forum, good old cloud schwabing buddies, they just

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<v Speaker 1>met in Davos a few weeks ago and the one

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<v Speaker 1>thing they kept talking about, well, climate change, misinformation, and

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<v Speaker 1>cyber attacks. That's what they keep talking about. Cyber attacks,

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<v Speaker 1>cyber attacks, cybertecks. They're coming, they're coming, they're coming, They're planning,

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<v Speaker 1>they're planning, they're planning, and oh now they're here. So

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<v Speaker 1>we're starting to see this really start to pick up

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<v Speaker 1>a lot of steam. And so is it that they're

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<v Speaker 1>sort of conditioning for this to happen, so we're prepared

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<v Speaker 1>for it when it happens. So we're prepared to give

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<v Speaker 1>them the opportunity to save us from these cyber pandemics.

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<v Speaker 1>We'll see. But basically they're saying that AI could lead

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<v Speaker 1>to an increase in that The reason why is because

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<v Speaker 1>AI can create an infinite amount of content in seconds. Okay,

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<v Speaker 1>but experts are already warning of an AI based cyber

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<v Speaker 1>attack and they predict these experts, supposedly experts, predict that

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<v Speaker 1>only other AIS will be able to put a stop

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<v Speaker 1>to them. So again, back to the Terminator movie, the

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<v Speaker 1>only way to stop the terminator sent back in time

0:12:12.920 --> 0:12:15.560
<v Speaker 1>was to send another AI terminator back in time. And

0:12:15.559 --> 0:12:19.199
<v Speaker 1>that's kind of what they're saying here. AI could create

0:12:19.280 --> 0:12:21.480
<v Speaker 1>these cyber attacks but the only way to stop this

0:12:21.600 --> 0:12:24.640
<v Speaker 1>AI from cybertacking would be to create another AI to

0:12:24.920 --> 0:12:29.560
<v Speaker 1>put a stop to them, says there's this event called

0:12:29.600 --> 0:12:33.120
<v Speaker 1>Cybertech tel Aviv in twenty twenty three. It just took place,

0:12:33.120 --> 0:12:35.559
<v Speaker 1>and they said, the world's top cybersecurity leaders came together

0:12:36.280 --> 0:12:40.160
<v Speaker 1>to look at the problems and the solutions to combat

0:12:40.320 --> 0:12:44.880
<v Speaker 1>these types of threats. So some of the things, for example,

0:12:45.040 --> 0:12:48.440
<v Speaker 1>is like chat GPT which we were talking about, which

0:12:48.840 --> 0:12:52.200
<v Speaker 1>could basically write essays, right, It can write summaries, it

0:12:52.240 --> 0:12:55.240
<v Speaker 1>can write emails, it can write all these things, and

0:12:55.440 --> 0:12:58.640
<v Speaker 1>they've put kind of gates or restrictions onto what chat

0:12:58.679 --> 0:13:02.440
<v Speaker 1>gbt can do. So for example, you can't ask it

0:13:02.520 --> 0:13:06.160
<v Speaker 1>to write hate speech, you can't ask it to write

0:13:06.160 --> 0:13:10.280
<v Speaker 1>like racist things and things like that. And you also

0:13:10.400 --> 0:13:14.520
<v Speaker 1>can't supposedly ask it to do things like create viruses

0:13:14.559 --> 0:13:17.440
<v Speaker 1>and malware and things like that. So they've put these

0:13:17.480 --> 0:13:21.480
<v Speaker 1>restrictions with these gateways on it to try to prevent

0:13:21.480 --> 0:13:25.040
<v Speaker 1>it from being used for bad But what this group found,

0:13:25.080 --> 0:13:28.640
<v Speaker 1>cyber arc found was that with a little bit of persistence,

0:13:29.320 --> 0:13:33.840
<v Speaker 1>you could get chat gbt to actually create malware, so

0:13:34.000 --> 0:13:36.520
<v Speaker 1>like viruses for computers, which of course it's not supposed

0:13:36.559 --> 0:13:39.559
<v Speaker 1>to be able to do it. Says that the researchers

0:13:39.600 --> 0:13:42.320
<v Speaker 1>managed to get chat gbt to create malicious code, but

0:13:42.440 --> 0:13:45.320
<v Speaker 1>also they found a way to hide that malicious code

0:13:45.320 --> 0:13:47.880
<v Speaker 1>from your standard anti virus system in a way that

0:13:48.000 --> 0:13:51.600
<v Speaker 1>is quite original. So not only do they use it

0:13:51.640 --> 0:13:54.559
<v Speaker 1>to create a new one, but they also used it

0:13:54.720 --> 0:13:57.240
<v Speaker 1>to create a new one that could be hidden from

0:13:57.280 --> 0:14:02.040
<v Speaker 1>all known malware anti virus systems today. The thing that

0:14:02.160 --> 0:14:05.680
<v Speaker 1>you know, we have to understand is that technology is

0:14:05.720 --> 0:14:08.840
<v Speaker 1>a tool. It's no different than a set of tools

0:14:08.840 --> 0:14:13.120
<v Speaker 1>to fix a car, a pair of scissors, a fork, right,

0:14:13.120 --> 0:14:16.800
<v Speaker 1>and that, and that screwdriver could be used for many things.

0:14:17.160 --> 0:14:19.720
<v Speaker 1>It comes down to who picks that screwdriver up and

0:14:19.760 --> 0:14:22.760
<v Speaker 1>how they decide to use it. You could obviously attack

0:14:22.840 --> 0:14:24.800
<v Speaker 1>somebody and cause a lot of damage and harm with

0:14:24.840 --> 0:14:28.640
<v Speaker 1>a screwdriver, or you could open up a bottle, or

0:14:28.680 --> 0:14:31.400
<v Speaker 1>you could fix something with it. That's what really comes

0:14:31.400 --> 0:14:33.600
<v Speaker 1>down to it. And so when we have tools like this,

0:14:33.680 --> 0:14:36.800
<v Speaker 1>the tools themselves are neutral. And this is why it

0:14:36.880 --> 0:14:39.200
<v Speaker 1>kind of goes to this gun debate that's been raging forever,

0:14:39.680 --> 0:14:42.680
<v Speaker 1>and a gun is also a tool. The proponents of

0:14:42.800 --> 0:14:45.760
<v Speaker 1>guns would say that it's not what's in a man's hand,

0:14:46.800 --> 0:14:50.560
<v Speaker 1>it's what's in a man's heart. Right. If somebody wants

0:14:50.600 --> 0:14:52.800
<v Speaker 1>to kill somebody with a gun and you take away

0:14:52.800 --> 0:14:55.360
<v Speaker 1>the gun, well they could find any number of ways,

0:14:55.400 --> 0:14:59.080
<v Speaker 1>any number of hundreds of other ways to kill somebody, right,

0:14:59.120 --> 0:15:02.160
<v Speaker 1>I mean this obviously there's we all drive big vehicles.

0:15:02.240 --> 0:15:04.480
<v Speaker 1>That's pretty dangerous. I mean, you can get any type

0:15:04.480 --> 0:15:06.680
<v Speaker 1>of thing from hardware stores and I'm not going to

0:15:06.760 --> 0:15:09.600
<v Speaker 1>list those here, but you understand that you can't really

0:15:09.640 --> 0:15:11.200
<v Speaker 1>stop someone. I mean you can do it with your

0:15:11.200 --> 0:15:13.360
<v Speaker 1>bare hands. And so it really always comes back down

0:15:13.400 --> 0:15:15.680
<v Speaker 1>to what's in a man's heart, not what's in a

0:15:15.680 --> 0:15:18.120
<v Speaker 1>man's hand. And so when we start looking at tools

0:15:18.160 --> 0:15:22.320
<v Speaker 1>like this, they can put all types of gateways and

0:15:22.440 --> 0:15:24.520
<v Speaker 1>checkpoints on there, but it also limits what we can

0:15:24.560 --> 0:15:26.960
<v Speaker 1>do for good as well. If you go up to

0:15:27.000 --> 0:15:28.760
<v Speaker 1>the mountains at all, I like to go snowboarding. I

0:15:28.840 --> 0:15:32.760
<v Speaker 1>was just up in Vancouver snowboarding last week, and at

0:15:33.520 --> 0:15:35.160
<v Speaker 1>the where the chairlifts are where you getting on and

0:15:35.240 --> 0:15:37.880
<v Speaker 1>off the mountain, they have tools so you can adjust

0:15:37.880 --> 0:15:40.720
<v Speaker 1>your bindings and things like that, right, But the screwdrivers

0:15:40.720 --> 0:15:43.880
<v Speaker 1>have a chain and their chain to the bench there,

0:15:44.360 --> 0:15:47.320
<v Speaker 1>and so they could chain that screwdriver down so I

0:15:47.320 --> 0:15:50.760
<v Speaker 1>couldn't go attack people in the line with it. But

0:15:50.800 --> 0:15:52.680
<v Speaker 1>then it also limits what I'm able to do if

0:15:52.680 --> 0:15:56.000
<v Speaker 1>I needed to work on like a car, like a

0:15:56.040 --> 0:15:58.880
<v Speaker 1>SnowCat that came over a snowmobile, the chain isn't long

0:15:59.000 --> 0:16:01.680
<v Speaker 1>enough to go do that. So we can put these checks,

0:16:01.680 --> 0:16:03.840
<v Speaker 1>these gateways in, but then it limits what we're able

0:16:03.880 --> 0:16:08.520
<v Speaker 1>to do in the potential chance that maybe a couple

0:16:08.520 --> 0:16:11.520
<v Speaker 1>of people might try to do something crazy like create

0:16:11.640 --> 0:16:14.120
<v Speaker 1>malicious code. Most of us would never even think about that.

0:16:14.320 --> 0:16:16.600
<v Speaker 1>What they're saying is that there's even greater threats to

0:16:16.720 --> 0:16:20.360
<v Speaker 1>cybersecurity because of this. Now. They said that according to

0:16:20.360 --> 0:16:23.920
<v Speaker 1>the World Incomic Forum, cyber attacks already increased by almost

0:16:24.080 --> 0:16:28.800
<v Speaker 1>forty percent last year. Forty percent now. Of course, right

0:16:29.240 --> 0:16:32.840
<v Speaker 1>more people are using computers, more bad actors, and we're

0:16:32.880 --> 0:16:35.680
<v Speaker 1>going to have more cyber attacks, I guess, But they're

0:16:35.680 --> 0:16:38.840
<v Speaker 1>saying that they could rise exponentially over the coming year

0:16:39.200 --> 0:16:43.280
<v Speaker 1>because of these AI models, because the average person now

0:16:43.360 --> 0:16:47.200
<v Speaker 1>could write their own code and do this. And it

0:16:47.240 --> 0:16:49.240
<v Speaker 1>says that the primary challenge for cybersecurity is that the

0:16:49.240 --> 0:16:54.120
<v Speaker 1>attackers seem to be one step ahead. I've always wondered

0:16:54.120 --> 0:16:57.000
<v Speaker 1>about this. Right, here's a quote here. AI based attacks

0:16:57.000 --> 0:16:59.080
<v Speaker 1>are going to be much more pervasive, much more adaptable,

0:16:59.080 --> 0:17:00.680
<v Speaker 1>and much more rapid than they were in the past,

0:17:00.880 --> 0:17:05.840
<v Speaker 1>and human defenders can't keep up with the pace. So

0:17:06.000 --> 0:17:11.680
<v Speaker 1>think about that. The anti virus, the cybersecurity experts are

0:17:11.720 --> 0:17:15.280
<v Speaker 1>trying to stay one step in front of the exploiters,

0:17:15.440 --> 0:17:18.600
<v Speaker 1>but they can't do that. I've always wondered, how does

0:17:18.640 --> 0:17:23.200
<v Speaker 1>the anti virus software stay in business if there aren't

0:17:23.280 --> 0:17:29.639
<v Speaker 1>actually viruses? Could it be plausible that they could release

0:17:29.720 --> 0:17:31.720
<v Speaker 1>the virus and then release the software. Of course that

0:17:31.760 --> 0:17:33.439
<v Speaker 1>would just be you know, I mean, that would be

0:17:33.480 --> 0:17:35.800
<v Speaker 1>really really bad, apparently. Right. If you're just tune in,

0:17:35.800 --> 0:17:38.080
<v Speaker 1>you're listening to the Markmas Show. We're talking about the

0:17:38.119 --> 0:17:41.159
<v Speaker 1>Decentralized Revolution, talking about how AI plays a pivol role

0:17:41.200 --> 0:17:43.480
<v Speaker 1>in this. I got a lot to cover. I needed

0:17:43.480 --> 0:17:46.200
<v Speaker 1>to start getting faster here, so don't miss it. I'll

0:17:46.240 --> 0:17:48.280
<v Speaker 1>be right back. Don't go away, all right, welcome back.

0:17:48.280 --> 0:17:50.280
<v Speaker 1>If you're just tune in, you're listening to the Markmas Show.

0:17:50.280 --> 0:17:54.920
<v Speaker 1>We're talking about the Decentralized Revolution. We're talking about how AI.

0:17:55.240 --> 0:17:58.760
<v Speaker 1>We always talk about the decentralized revolution as through the

0:17:58.840 --> 0:18:02.240
<v Speaker 1>lens of politics, finance, and technology technologies what changes things.

0:18:02.480 --> 0:18:06.359
<v Speaker 1>Typically we're talking about technology in regards to bitcoin, but

0:18:06.480 --> 0:18:11.040
<v Speaker 1>we're talking about technology in regards to AI, and they're

0:18:11.080 --> 0:18:13.680
<v Speaker 1>talking about how the cybersecurity experts are saying that AI

0:18:13.720 --> 0:18:18.159
<v Speaker 1>could make it easier and more efficient for attackers to

0:18:18.880 --> 0:18:21.560
<v Speaker 1>do these cyber type of crimes, and how hard it

0:18:21.560 --> 0:18:24.960
<v Speaker 1>will be for them to keep up the pace with this. Basically,

0:18:24.960 --> 0:18:28.400
<v Speaker 1>what they're saying here is that a human defender won't

0:18:28.440 --> 0:18:30.840
<v Speaker 1>be able to figure out what's going on, find the

0:18:31.440 --> 0:18:36.639
<v Speaker 1>right countermeasures, and react fast enough because the AI attack

0:18:36.680 --> 0:18:40.040
<v Speaker 1>would have already reached this destination. So what they're saying

0:18:40.119 --> 0:18:41.720
<v Speaker 1>is that we're gonna have to fight fire with fire

0:18:42.000 --> 0:18:45.240
<v Speaker 1>and assign the defense task to an AI based system.

0:18:46.200 --> 0:18:49.520
<v Speaker 1>So we have to create machines to battle the machines,

0:18:49.760 --> 0:18:53.760
<v Speaker 1>is what they're saying. The problem is that when you

0:18:53.800 --> 0:18:56.959
<v Speaker 1>start leaving all of this up to AI, is AI

0:18:57.200 --> 0:19:02.080
<v Speaker 1>able to make these types of decisions? It says, here

0:19:02.080 --> 0:19:06.040
<v Speaker 1>are AI knows how to autonomously classify information, saving months

0:19:06.080 --> 0:19:09.640
<v Speaker 1>and sometimes years of work for an organization, and so

0:19:10.400 --> 0:19:13.920
<v Speaker 1>we should be able to classify these types of changes

0:19:13.920 --> 0:19:16.719
<v Speaker 1>and know if they're malicious or not. We'll see how

0:19:16.760 --> 0:19:18.960
<v Speaker 1>this shapes up. But like I said, I want what

0:19:19.040 --> 0:19:21.920
<v Speaker 1>I'm interested in is like we're hearing more and more

0:19:21.920 --> 0:19:26.359
<v Speaker 1>and more about this cyber pandemic and is this again,

0:19:26.960 --> 0:19:30.080
<v Speaker 1>is it picking up because of what the World that

0:19:30.080 --> 0:19:33.800
<v Speaker 1>Eccamyforum has been talking about. We saw that just after

0:19:33.840 --> 0:19:36.160
<v Speaker 1>the world that Recament Forum was talking about these potential

0:19:36.200 --> 0:19:39.000
<v Speaker 1>cyber attacks, we started getting more of them, including we

0:19:39.040 --> 0:19:42.719
<v Speaker 1>saw in the United States the FAA computers were attacked

0:19:42.720 --> 0:19:47.200
<v Speaker 1>and shutdown cars, causing the largest blackout of flights or

0:19:47.240 --> 0:19:50.280
<v Speaker 1>the largest shutdown of flights I believe in US history.

0:19:50.800 --> 0:19:52.600
<v Speaker 1>And it didn't just happen in the US. It happened

0:19:52.640 --> 0:19:55.720
<v Speaker 1>in I believe, Canada and maybe it was Australia a

0:19:55.720 --> 0:19:58.080
<v Speaker 1>few other places as well. So it happened right after

0:19:58.160 --> 0:20:00.439
<v Speaker 1>of course the WEF was talking about it, and we

0:20:00.520 --> 0:20:04.040
<v Speaker 1>also just saw that it also happened in Italy. Italy

0:20:04.080 --> 0:20:08.280
<v Speaker 1>had its Internet restored after having a nationwide outage on

0:20:08.320 --> 0:20:12.239
<v Speaker 1>the Internet. There's reports of a global ransomware attack that

0:20:12.320 --> 0:20:17.680
<v Speaker 1>was happening. And again, is this just all coincidence or

0:20:17.720 --> 0:20:21.600
<v Speaker 1>sometimes is it too coincidental. It is it. When there's smoke,

0:20:21.680 --> 0:20:24.280
<v Speaker 1>there's fire, And that's sort of what we're seeing right here.

0:20:25.160 --> 0:20:29.560
<v Speaker 1>We saw that this Italy's National Cybersecurity Agency warned about

0:20:29.600 --> 0:20:33.960
<v Speaker 1>these ransomware attacks and how they were targeting servers worldwide

0:20:34.280 --> 0:20:38.439
<v Speaker 1>and they're looking to exploit a software vulnerability. You know.

0:20:39.040 --> 0:20:43.920
<v Speaker 1>Part of the thing with centralized software versus decentralized software

0:20:44.640 --> 0:20:46.760
<v Speaker 1>is I think you could with decentralized software, you can

0:20:46.760 --> 0:20:49.320
<v Speaker 1>get a lot more people working on the software. Potentially,

0:20:50.440 --> 0:20:52.080
<v Speaker 1>you can get a lot more eyes on it. You

0:20:52.080 --> 0:20:56.320
<v Speaker 1>can find a lot more of these bugs. Maybe that's

0:20:56.320 --> 0:21:01.120
<v Speaker 1>a benefit, trying to find these exploitations before they become

0:21:01.119 --> 0:21:05.480
<v Speaker 1>a problem. But a lot of people were talking about

0:21:05.520 --> 0:21:08.680
<v Speaker 1>this over the week over on social media, talking about

0:21:09.440 --> 0:21:13.320
<v Speaker 1>is this the first of like what to expect about

0:21:13.960 --> 0:21:17.880
<v Speaker 1>lockdowns happening on the internet? Was this a dry run?

0:21:19.040 --> 0:21:21.359
<v Speaker 1>Could this have been coincident all that the WEFF was

0:21:21.400 --> 0:21:24.040
<v Speaker 1>just talking about it and then it's happening, And I

0:21:24.040 --> 0:21:26.560
<v Speaker 1>don't know, that's just conspiratorial talk. We don't really have

0:21:26.600 --> 0:21:31.040
<v Speaker 1>any evidence of that, but it is certainly again very

0:21:31.080 --> 0:21:36.119
<v Speaker 1>coincident all that that's happening right now now. On another side,

0:21:36.200 --> 0:21:40.440
<v Speaker 1>back to kind of the economic side of things. One

0:21:40.480 --> 0:21:45.800
<v Speaker 1>of the kind of famous technology stockpickers Cathy Wood. She

0:21:45.920 --> 0:21:49.000
<v Speaker 1>runs a firm or an ETF called ARC and it

0:21:49.040 --> 0:21:52.440
<v Speaker 1>basically has all the tech companies in this ETF, which

0:21:52.440 --> 0:21:55.920
<v Speaker 1>of course is famously down. She's lost so much money

0:21:55.920 --> 0:21:58.119
<v Speaker 1>it's a wonder that people still listen to her. But

0:21:58.200 --> 0:22:02.159
<v Speaker 1>she's now talking about how hour. She's predicting that Amazon

0:22:02.520 --> 0:22:08.320
<v Speaker 1>would have more robot workers than human workers by twenty thirty.

0:22:08.400 --> 0:22:12.680
<v Speaker 1>And that's not surprising. It's not surprising at all. It says,

0:22:12.680 --> 0:22:14.560
<v Speaker 1>if you compare the number of robot Amazon has to

0:22:14.600 --> 0:22:17.760
<v Speaker 1>the number of employees, it's about a third right now,

0:22:17.960 --> 0:22:20.400
<v Speaker 1>and we believe that by the year twenty thirty, Amazon

0:22:20.480 --> 0:22:23.720
<v Speaker 1>will have more. So Amazon already has what would be

0:22:23.760 --> 0:22:26.480
<v Speaker 1>considered robots. But what do you consider robots? Anytime a

0:22:26.520 --> 0:22:29.159
<v Speaker 1>machine does one thing like picks up a package and

0:22:29.200 --> 0:22:31.560
<v Speaker 1>moves it somewhere else, like, that's not happening all over

0:22:31.600 --> 0:22:32.879
<v Speaker 1>the place. It's not happening all the time. Well, of

0:22:32.920 --> 0:22:34.359
<v Speaker 1>course it is. It's happening about a third of the

0:22:34.680 --> 0:22:39.000
<v Speaker 1>people right now. But they're saying that by twenty thirty

0:22:39.280 --> 0:22:42.679
<v Speaker 1>it could replace all of them. Now is that a

0:22:42.720 --> 0:22:45.760
<v Speaker 1>bad thing. That Amazon currently has more than five hundred

0:22:45.800 --> 0:22:49.720
<v Speaker 1>and twenty thousand robots in use and could potentially get

0:22:49.760 --> 0:22:52.919
<v Speaker 1>over to about one point six million employees over the

0:22:52.920 --> 0:22:56.640
<v Speaker 1>next seven years, is that a bad thing. It could

0:22:56.680 --> 0:22:59.560
<v Speaker 1>be bad if you were one of those warehouse workers

0:22:59.560 --> 0:23:03.240
<v Speaker 1>that got your job replaced, unless you went and found

0:23:03.240 --> 0:23:07.800
<v Speaker 1>a better job. So, since the dawn of time, technology

0:23:08.280 --> 0:23:11.200
<v Speaker 1>always puts people out of work, that's the whole point.

0:23:12.040 --> 0:23:16.560
<v Speaker 1>That's the entire point. If I was carrying one brick

0:23:16.560 --> 0:23:19.160
<v Speaker 1>at a time, it would take me very long to

0:23:19.200 --> 0:23:23.280
<v Speaker 1>move these bricks over distance, right, So then using my

0:23:23.400 --> 0:23:28.000
<v Speaker 1>brain and human ingenuity, I would say, well, instead of

0:23:28.040 --> 0:23:31.200
<v Speaker 1>having ten people all carrying bricks back and forth, why

0:23:31.240 --> 0:23:33.560
<v Speaker 1>don't I make a wheelbarrow and then I can put

0:23:33.640 --> 0:23:35.840
<v Speaker 1>all the bricks into a wheelbarrow, and then I could

0:23:35.920 --> 0:23:38.840
<v Speaker 1>do the work of ten men carrying all the bricks

0:23:38.880 --> 0:23:41.639
<v Speaker 1>at once in a wheelbarrow. That was a piece of technology,

0:23:41.960 --> 0:23:44.080
<v Speaker 1>and it replaced the work of those ten people that

0:23:44.080 --> 0:23:47.680
<v Speaker 1>were needed to carry those bricks. Was that bad, Well,

0:23:47.680 --> 0:23:49.520
<v Speaker 1>it was if that was your only way to make money,

0:23:49.520 --> 0:23:52.040
<v Speaker 1>it was carrying those bricks. But it wasn't bad because

0:23:52.160 --> 0:23:54.400
<v Speaker 1>ultimately what it does is it freed those people up

0:23:54.680 --> 0:23:59.160
<v Speaker 1>to go focus on higher value things. Now, the world

0:23:59.160 --> 0:24:01.800
<v Speaker 1>had stayed pretty much dirt. The world had stayed pretty

0:24:01.880 --> 0:24:05.960
<v Speaker 1>much with no real technological advancements for most of history.

0:24:06.600 --> 0:24:11.159
<v Speaker 1>Things really got interesting in the late seventeen hundred in

0:24:11.200 --> 0:24:15.320
<v Speaker 1>the eighteenth century, which was the start of the industrial Revolution,

0:24:16.000 --> 0:24:18.800
<v Speaker 1>And all of a sudden, a new technological revolution happened,

0:24:19.000 --> 0:24:22.359
<v Speaker 1>and we created machines, and all of a sudden, a

0:24:22.400 --> 0:24:27.880
<v Speaker 1>machine could do the work of five thousand men. The horror,

0:24:28.320 --> 0:24:30.680
<v Speaker 1>what's going to happen to all those five thousand men?

0:24:30.720 --> 0:24:34.439
<v Speaker 1>They got their jobs replaced by one machine. And of

0:24:34.440 --> 0:24:36.879
<v Speaker 1>course the answer is, well, those men would go on

0:24:37.000 --> 0:24:43.040
<v Speaker 1>to do science and medicine and further improve the world.

0:24:43.880 --> 0:24:45.720
<v Speaker 1>So we can talk about this all the time. Technology

0:24:45.800 --> 0:24:49.880
<v Speaker 1>always replaces the need for human power, but it allows

0:24:49.920 --> 0:24:53.760
<v Speaker 1>those humans to go work on higher level tasks. We

0:24:53.800 --> 0:24:57.359
<v Speaker 1>could have ten thousand guys out there digging roads, or

0:24:57.400 --> 0:24:59.840
<v Speaker 1>we could bring in one tractor and just do the

0:25:00.040 --> 0:25:01.719
<v Speaker 1>work of all those people. But what are all those

0:25:01.720 --> 0:25:04.000
<v Speaker 1>people going to go do. Well, they're going to find

0:25:04.320 --> 0:25:07.240
<v Speaker 1>new things to go work on, like creating new forms

0:25:07.240 --> 0:25:10.119
<v Speaker 1>of tractors and all these service businesses based around tractors

0:25:10.160 --> 0:25:12.480
<v Speaker 1>and making parts for tractors, and on and on and on,

0:25:13.000 --> 0:25:17.200
<v Speaker 1>designing AI for example. And so we could look back

0:25:17.200 --> 0:25:20.400
<v Speaker 1>through time and look at any piece of technology and

0:25:20.600 --> 0:25:24.680
<v Speaker 1>how it's made us more efficient. That's the whole point.

0:25:25.119 --> 0:25:27.200
<v Speaker 1>It makes us more efficient, so we don't need as

0:25:27.280 --> 0:25:30.960
<v Speaker 1>many hours to go into that, and then those hours

0:25:31.000 --> 0:25:33.720
<v Speaker 1>freed up allows us to go work on other things. Now,

0:25:34.000 --> 0:25:36.600
<v Speaker 1>the only way that you're really affected by this is

0:25:36.640 --> 0:25:40.720
<v Speaker 1>if I hate to say it, but you're too should

0:25:40.720 --> 0:25:44.120
<v Speaker 1>I say lazy, to pour into your own self, into

0:25:44.119 --> 0:25:47.679
<v Speaker 1>your own education. For the lazy and uninitiated, it's a

0:25:47.720 --> 0:25:52.040
<v Speaker 1>bad thing. But for the smart and for the people

0:25:52.119 --> 0:25:54.800
<v Speaker 1>willing to take on this new technology and use it,

0:25:54.800 --> 0:25:59.399
<v Speaker 1>it's powerful. What's happening is that as this technology has

0:25:59.440 --> 0:26:02.120
<v Speaker 1>continue to change things. As I say all the time,

0:26:02.160 --> 0:26:04.560
<v Speaker 1>technology is what changes the way the world works and

0:26:04.600 --> 0:26:08.480
<v Speaker 1>how we organize ourselves. And so really, about two hundred

0:26:08.480 --> 0:26:11.480
<v Speaker 1>and fifty years ago, at the start of this Industrial Revolution,

0:26:11.560 --> 0:26:14.879
<v Speaker 1>it started to centralize us and put us into cities

0:26:15.320 --> 0:26:17.640
<v Speaker 1>with factories, and we had these big factories and these

0:26:17.640 --> 0:26:23.639
<v Speaker 1>big cities, and it became very centralized. In nineteen o eight,

0:26:23.880 --> 0:26:29.720
<v Speaker 1>we had that the third or fourth the fourth Industrial Revolution,

0:26:30.000 --> 0:26:35.399
<v Speaker 1>which was automobiles and mass production or assembly lines. Now

0:26:35.440 --> 0:26:40.000
<v Speaker 1>that change things drastically, and it is also part of

0:26:40.000 --> 0:26:42.280
<v Speaker 1>this American story of this middle class in the shrinking

0:26:42.280 --> 0:26:43.960
<v Speaker 1>middle class. I'm gonna break that down for you, and

0:26:43.960 --> 0:26:46.199
<v Speaker 1>then we'll talk about these different types of AI, the

0:26:46.280 --> 0:26:48.919
<v Speaker 1>open source versus closed source. If you're just tuning in,

0:26:48.960 --> 0:26:50.960
<v Speaker 1>you're listening to the markmas Show. Of course we talk

0:26:51.000 --> 0:26:53.560
<v Speaker 1>about the decentralized revolution, talking about the way the world

0:26:53.680 --> 0:26:56.880
<v Speaker 1>is changing, and today we're talking about it specifically through

0:26:57.080 --> 0:26:59.639
<v Speaker 1>the technology piece, which is of course always the biggest

0:26:59.640 --> 0:27:02.119
<v Speaker 1>piece talking about AI. I got a whole lot to

0:27:02.160 --> 0:27:04.200
<v Speaker 1>cover when I come back in a minute. You don't

0:27:04.240 --> 0:27:06.040
<v Speaker 1>want to miss it, so don't go away. I'll be

0:27:06.200 --> 0:27:09.480
<v Speaker 1>right back, all right, Welcome back. If you just tune in,

0:27:09.520 --> 0:27:11.680
<v Speaker 1>you're listening to the Mark Moss Show, we're talking about

0:27:11.680 --> 0:27:16.240
<v Speaker 1>the decentralized Revolution. We're talking specifically about the technology piece.

0:27:17.119 --> 0:27:19.760
<v Speaker 1>We're talking about AI. Now, what I was saying is

0:27:19.800 --> 0:27:22.919
<v Speaker 1>that since the beginning of time, every time there's been

0:27:22.920 --> 0:27:25.439
<v Speaker 1>a new piece of technology, people are worried about it

0:27:25.720 --> 0:27:29.080
<v Speaker 1>because it replaces jobs, and it does, but it also

0:27:29.160 --> 0:27:32.320
<v Speaker 1>opens up new jobs, and so as humans, we have

0:27:32.720 --> 0:27:38.120
<v Speaker 1>unlimited potential, unlimited And the reason why we have unlimited

0:27:38.160 --> 0:27:42.360
<v Speaker 1>potential is because we have ingenuity and we have creativity.

0:27:42.880 --> 0:27:46.000
<v Speaker 1>And as long as we have creativity, we're always going

0:27:46.040 --> 0:27:48.440
<v Speaker 1>to see problems that need to be solved, and we're

0:27:48.480 --> 0:27:50.600
<v Speaker 1>always going to come up with new solutions to solve

0:27:50.640 --> 0:27:53.200
<v Speaker 1>those problems, and we're always going to have progress, and

0:27:53.240 --> 0:27:56.119
<v Speaker 1>we're always going to have advancement, and there's never going

0:27:56.200 --> 0:27:59.399
<v Speaker 1>to be a lack or a shortage of things to

0:27:59.480 --> 0:28:05.080
<v Speaker 1>work on. The problem is, if you're not creative, if

0:28:05.080 --> 0:28:07.920
<v Speaker 1>you're not ambitious, if you're not looking at those things well,

0:28:07.920 --> 0:28:09.359
<v Speaker 1>and all you want to do is the one task,

0:28:09.400 --> 0:28:11.040
<v Speaker 1>you could have a hard time. So an example would

0:28:11.080 --> 0:28:14.960
<v Speaker 1>be in the Pacific Northwest, we had all these logging

0:28:15.000 --> 0:28:19.480
<v Speaker 1>towns and entire towns were built just for logging there.

0:28:20.400 --> 0:28:23.080
<v Speaker 1>But now that's all been basically shut down. Most of

0:28:23.200 --> 0:28:25.840
<v Speaker 1>us move up to Canada or other countries, and these

0:28:25.880 --> 0:28:28.560
<v Speaker 1>logging towns that used to be robust and busy and

0:28:28.800 --> 0:28:31.320
<v Speaker 1>have lots of jobs have now shriveled up and died.

0:28:32.080 --> 0:28:35.280
<v Speaker 1>Now some of these towns want to supply or provide

0:28:35.359 --> 0:28:37.919
<v Speaker 1>welfare or UBI or whatever you want to call it

0:28:37.960 --> 0:28:40.320
<v Speaker 1>to these people, because what are they going to do?

0:28:41.240 --> 0:28:44.600
<v Speaker 1>I mean, they were a logger and now there's no logging,

0:28:44.680 --> 0:28:46.840
<v Speaker 1>and now they're in this town and all they'd know

0:28:46.880 --> 0:28:49.200
<v Speaker 1>how to do is logging, and there's no logging jobs,

0:28:49.520 --> 0:28:50.960
<v Speaker 1>and so they have nothing to do, so we have

0:28:50.960 --> 0:28:53.440
<v Speaker 1>to give them money. Well, I can tell you what

0:28:53.440 --> 0:28:57.040
<v Speaker 1>they should do. They should learn a new skill and

0:28:57.120 --> 0:29:01.240
<v Speaker 1>they should move somewhere else. Right, that's exactly the point here.

0:29:01.320 --> 0:29:07.400
<v Speaker 1>So we have this situation where computers are yes replacing jobs.

0:29:08.000 --> 0:29:09.840
<v Speaker 1>You imagine how many people used to take to sit

0:29:09.840 --> 0:29:12.360
<v Speaker 1>there and transcribe books by hand, and then we came

0:29:12.400 --> 0:29:14.360
<v Speaker 1>up with the printing press. But what about all those

0:29:14.360 --> 0:29:17.040
<v Speaker 1>people that are transcribing books though they do something else.

0:29:17.280 --> 0:29:21.080
<v Speaker 1>So Amazon's helping. Amazon says that they've committed about one

0:29:21.160 --> 0:29:26.560
<v Speaker 1>point two billion dollars to provide employees with educational programs,

0:29:27.160 --> 0:29:33.400
<v Speaker 1>one point two billion offering megatronics, mechatronics, robotics, all these programs.

0:29:33.400 --> 0:29:36.719
<v Speaker 1>And so hopefully these people who see that, you know,

0:29:36.760 --> 0:29:39.600
<v Speaker 1>there's this potential for their job to get replaced, could

0:29:39.600 --> 0:29:42.760
<v Speaker 1>take advantage of this and move up higher on the

0:29:42.800 --> 0:29:45.440
<v Speaker 1>food chain rights. That's what we want them to do. Now,

0:29:45.840 --> 0:29:48.760
<v Speaker 1>this is a big, big piece because what happened is,

0:29:49.040 --> 0:29:51.680
<v Speaker 1>you know, after back to nineteen o eight, Henry Ford

0:29:51.760 --> 0:29:54.960
<v Speaker 1>invented the automobile and the mass production the assembly line.

0:29:55.200 --> 0:29:58.520
<v Speaker 1>What happened is that led to massive abundance and prosperity

0:29:58.520 --> 0:30:02.400
<v Speaker 1>for the United States got this very robust middle class,

0:30:03.040 --> 0:30:05.120
<v Speaker 1>not just the United States, the developed world that was

0:30:05.200 --> 0:30:10.320
<v Speaker 1>embracing this industrial revolution. We got this massive growth and

0:30:10.400 --> 0:30:14.320
<v Speaker 1>this robust middle class. And the reason why is because

0:30:14.400 --> 0:30:19.000
<v Speaker 1>the assembly line like equalizes everybody. So you could be

0:30:19.040 --> 0:30:20.600
<v Speaker 1>the smartest person in the world, that could be the

0:30:20.640 --> 0:30:22.720
<v Speaker 1>dumbest person in the world. And we're next to each

0:30:22.760 --> 0:30:24.920
<v Speaker 1>other on the assembly line, and I plug in my

0:30:25.000 --> 0:30:27.160
<v Speaker 1>part and you plug in your part, and we've done

0:30:27.160 --> 0:30:30.840
<v Speaker 1>the exact same work. Even though you're smarter and I'm

0:30:30.880 --> 0:30:34.000
<v Speaker 1>not as smart as you, we've provided the same value.

0:30:34.480 --> 0:30:37.320
<v Speaker 1>We've each plugged in our part, and we each get

0:30:37.360 --> 0:30:39.720
<v Speaker 1>paid equally. And basically, what it did is it took

0:30:39.760 --> 0:30:42.640
<v Speaker 1>all these people who were not motivated and not smart

0:30:43.040 --> 0:30:46.280
<v Speaker 1>and didn't want to work smarter, and it pushed them

0:30:46.360 --> 0:30:48.600
<v Speaker 1>up and made them on an even playing field as

0:30:48.600 --> 0:30:52.120
<v Speaker 1>the people who were smarter and more ambitious, and that

0:30:52.160 --> 0:30:54.719
<v Speaker 1>worked pretty well, but the middle class has obviously been

0:30:54.720 --> 0:30:56.640
<v Speaker 1>hollowed out. You hear about stories all the time. Now.

0:30:56.640 --> 0:30:58.120
<v Speaker 1>Part of it is because we shipped a bunch of

0:30:58.200 --> 0:31:01.640
<v Speaker 1>jobs overseas. Apparently we did, so that's part of it.

0:31:02.680 --> 0:31:06.200
<v Speaker 1>But the reason why is because those types of jobs

0:31:07.400 --> 0:31:10.000
<v Speaker 1>don't require people to be very smart or hard working

0:31:10.080 --> 0:31:13.200
<v Speaker 1>or innovative, and so let's just give those two other

0:31:13.240 --> 0:31:15.880
<v Speaker 1>countries that can do the much cheaper. There's there's other

0:31:15.880 --> 0:31:17.240
<v Speaker 1>reasons why. I don't want to dig into that, but

0:31:17.320 --> 0:31:19.000
<v Speaker 1>the part that I want to dig into is that

0:31:19.960 --> 0:31:22.680
<v Speaker 1>we've moved into a new We've moved into into the

0:31:22.760 --> 0:31:29.280
<v Speaker 1>information age. So the technological revolutions of the seventeen to

0:31:29.360 --> 0:31:33.400
<v Speaker 1>eighteen hundreds and the early nineteen ndards were all transportation based.

0:31:33.600 --> 0:31:36.760
<v Speaker 1>So that was where the big technologies were steam engines

0:31:36.800 --> 0:31:40.000
<v Speaker 1>to move stuff across continents, steel and steam engines to

0:31:40.040 --> 0:31:43.320
<v Speaker 1>move stuff across the oceans, the automobiles. It was all

0:31:43.360 --> 0:31:46.840
<v Speaker 1>transportation based. When we got into nineteen seventy one, we

0:31:46.880 --> 0:31:50.240
<v Speaker 1>had the new innovation, the technological revolution, which was a microprocessor,

0:31:50.320 --> 0:31:56.880
<v Speaker 1>which brought us computers and telecommunications and the internet. We

0:31:57.200 --> 0:32:01.720
<v Speaker 1>entered the information age. And the problem is now we

0:32:01.800 --> 0:32:04.600
<v Speaker 1>don't need to depend so much on the physical and

0:32:04.640 --> 0:32:07.240
<v Speaker 1>the transportation side. I mean, of course we still need that,

0:32:07.640 --> 0:32:10.960
<v Speaker 1>but now we're working more on the information age, and

0:32:11.040 --> 0:32:15.040
<v Speaker 1>that now puts the preference back to people who are smarter,

0:32:15.640 --> 0:32:18.560
<v Speaker 1>who are building their own education, who are taking time

0:32:18.600 --> 0:32:22.160
<v Speaker 1>to educate themselves, who are taking time to think creatively,

0:32:22.800 --> 0:32:25.480
<v Speaker 1>looking for problems and coming up with solutions and things

0:32:25.480 --> 0:32:28.520
<v Speaker 1>like that. And that difference of us moving from an

0:32:28.840 --> 0:32:32.880
<v Speaker 1>assembly line where everybody was equal to the information age,

0:32:32.920 --> 0:32:35.640
<v Speaker 1>where they're smarter, people are really able to start pulling

0:32:35.640 --> 0:32:39.680
<v Speaker 1>out ahead, is really led to this massive difference in

0:32:39.720 --> 0:32:43.400
<v Speaker 1>the income. So you hear about this income inequality, which

0:32:43.440 --> 0:32:45.960
<v Speaker 1>I think is a wrong metric to look at, but

0:32:46.120 --> 0:32:47.760
<v Speaker 1>you look at you know how much people at the

0:32:47.800 --> 0:32:50.040
<v Speaker 1>top are making versus how much people to bottom and

0:32:50.240 --> 0:32:54.640
<v Speaker 1>AI And as we continue to move into the information age,

0:32:54.920 --> 0:32:57.959
<v Speaker 1>as we continue to have tools to help with the

0:32:57.960 --> 0:33:00.800
<v Speaker 1>information age, like I and all the other ones that

0:33:00.800 --> 0:33:03.120
<v Speaker 1>will come in after it, we're going to continue to

0:33:03.160 --> 0:33:08.080
<v Speaker 1>get a bigger gap. Now we shouldn't. I would hope

0:33:08.080 --> 0:33:10.880
<v Speaker 1>that you listening, I would hope that everybody would step

0:33:11.000 --> 0:33:13.600
<v Speaker 1>up and go shoot I better learn this new stuff.

0:33:13.600 --> 0:33:15.960
<v Speaker 1>I'd better learn to start thinking creatively. I better start

0:33:15.960 --> 0:33:18.280
<v Speaker 1>paying attention. I should start watching videos. I should start

0:33:18.280 --> 0:33:21.080
<v Speaker 1>playing with this stuff. But instead most people would rather

0:33:21.120 --> 0:33:25.600
<v Speaker 1>watch the Kardashians and play with TikTok. And that's fine.

0:33:26.120 --> 0:33:28.840
<v Speaker 1>You should have the ability and the right to do that.

0:33:29.440 --> 0:33:32.960
<v Speaker 1>Just don't complain when your job gets replaced, right, because

0:33:32.960 --> 0:33:36.120
<v Speaker 1>we always have to be providing more value to the world,

0:33:36.160 --> 0:33:38.240
<v Speaker 1>and as the world changes, we have to stay on

0:33:38.280 --> 0:33:40.560
<v Speaker 1>top of that. It's happened since the beginning of time

0:33:40.880 --> 0:33:43.360
<v Speaker 1>and it's always going to continue to happen. It's called

0:33:43.360 --> 0:33:47.760
<v Speaker 1>creative destruction. It destroys some things, but it creates new ones.

0:33:48.080 --> 0:33:51.320
<v Speaker 1>And we're humans, We're able to learn things. This old

0:33:51.360 --> 0:33:53.959
<v Speaker 1>dogs can't learn new tricks. We're not dogs. We can

0:33:54.080 --> 0:33:56.080
<v Speaker 1>learn new things. We can learn new skills, and we should.

0:33:56.840 --> 0:34:00.080
<v Speaker 1>Let's talk about the two different types of a I.

0:34:00.600 --> 0:34:02.600
<v Speaker 1>So the big one is this open AI that's the

0:34:02.680 --> 0:34:04.520
<v Speaker 1>name of the company, is called open AIE. But the

0:34:04.880 --> 0:34:08.200
<v Speaker 1>irony there is that it's not open. Open AI is

0:34:08.239 --> 0:34:12.719
<v Speaker 1>a closed AI that's been trained. Somebody gave them all

0:34:12.800 --> 0:34:17.120
<v Speaker 1>the information, but who gave it to them, who built

0:34:17.200 --> 0:34:19.960
<v Speaker 1>up the AI? Who told it what it can and

0:34:20.040 --> 0:34:23.759
<v Speaker 1>can't do. It can't provide malicious code, It can't write

0:34:23.800 --> 0:34:27.120
<v Speaker 1>hate speech. Well, what is hate speech? What qualifies? And

0:34:27.160 --> 0:34:31.680
<v Speaker 1>so who controls that? It's a big deal. It's a

0:34:31.800 --> 0:34:35.960
<v Speaker 1>dangerous problem. The founder of Open Ai, Sam Altman, he

0:34:36.000 --> 0:34:38.400
<v Speaker 1>came out and said this week that AI is poised

0:34:38.400 --> 0:34:44.200
<v Speaker 1>to break capitalism. Now, whatever that means, I don't even

0:34:44.200 --> 0:34:45.360
<v Speaker 1>I don't even know what that means. I've tried to

0:34:45.440 --> 0:34:49.480
<v Speaker 1>understand it. Capitalism isn't something to be broken human nature.

0:34:49.960 --> 0:34:54.320
<v Speaker 1>We all are. We all are capitalists. We have private property,

0:34:54.800 --> 0:34:57.800
<v Speaker 1>our own private body, our own ideas, and our labor,

0:34:58.520 --> 0:35:01.720
<v Speaker 1>and we have our resources that we acquire our private property,

0:35:02.000 --> 0:35:04.480
<v Speaker 1>and we always work to try to be more efficient

0:35:04.640 --> 0:35:08.319
<v Speaker 1>with those resources, those scarce resources that we have, and

0:35:08.480 --> 0:35:10.840
<v Speaker 1>we do that through a number of ways, innovation and

0:35:10.920 --> 0:35:16.319
<v Speaker 1>also through free and voluntary exchange. And everywhere there's capitalism.

0:35:16.560 --> 0:35:20.320
<v Speaker 1>Little kids in preschool are trading sandwiches for crackers, in prison,

0:35:20.360 --> 0:35:22.879
<v Speaker 1>they're trading, you know, onions for cigarettes, and in North

0:35:22.960 --> 0:35:26.360
<v Speaker 1>Korea they're trading stuff. Right, We're always trading. We're always

0:35:26.400 --> 0:35:28.719
<v Speaker 1>trying to be more efficient with the scarce resources. That's

0:35:28.800 --> 0:35:32.799
<v Speaker 1>capitalism and AI is just one more tool that will

0:35:32.840 --> 0:35:37.640
<v Speaker 1>help us to use our resources more efficiently. So I

0:35:37.680 --> 0:35:39.160
<v Speaker 1>don't even know where he gets off saying that it's

0:35:39.160 --> 0:35:41.360
<v Speaker 1>going to break capitalism. You can't break capitalism. It's going

0:35:41.440 --> 0:35:44.279
<v Speaker 1>to break ingenuity. It's going to break the desire to

0:35:44.400 --> 0:35:46.920
<v Speaker 1>be more efficient with our scarce resources. It's going to

0:35:47.040 --> 0:35:50.320
<v Speaker 1>break the desire to freely trade with one another. Like

0:35:50.440 --> 0:35:53.400
<v Speaker 1>that's never going to happen. Now, on the other side,

0:35:53.440 --> 0:35:57.120
<v Speaker 1>we have stable Diffusion, and Stable Diffusion is poised to

0:35:57.160 --> 0:36:00.239
<v Speaker 1>be an open source AI which is in contract us

0:36:00.239 --> 0:36:03.520
<v Speaker 1>to open a HI which is actually closed. I'm running

0:36:03.520 --> 0:36:04.879
<v Speaker 1>out of time. I don't have time to get into

0:36:04.920 --> 0:36:08.279
<v Speaker 1>stable diffusion, but I would ask you to go do

0:36:08.320 --> 0:36:10.960
<v Speaker 1>your own research on that. Just search stable diffusion, check

0:36:11.000 --> 0:36:12.640
<v Speaker 1>that out. If you're just tuning in you're listening to

0:36:12.680 --> 0:36:15.920
<v Speaker 1>the Markmas Show. We're talking about the decentralized revolution and

0:36:16.040 --> 0:36:19.680
<v Speaker 1>the role that AI as a technology is playing in

0:36:19.719 --> 0:36:23.600
<v Speaker 1>this new revolution as it will lead to more decentralization.

0:36:23.880 --> 0:36:25.880
<v Speaker 1>That's what I got. Thanks so much for listening.