WEBVTT - CODE RED: A.I., Singularity, Sexbots, and Pending Cultural Upheaval 0:00:00.120 --> 0:00:03.440 Today's show sponsored by Lear Capital, the precious metals leader 0:00:03.440 --> 0:00:07.080 since nineteen ninety seven and only company I trust and 0:00:07.160 --> 0:00:12.920 recommend to my family, friends and viewers. Visit leirlex dot com. 0:00:13.280 --> 0:00:16.080 He's editor in chief of Breitbart News and a New 0:00:16.160 --> 0:00:19.560 York Times best selling author, and on this podcast it 0:00:19.680 --> 0:00:22.960 brings deep research, prescient analysis at. 0:00:22.880 --> 0:00:27.479 World class guests. He's Alex Marlowe and this is the 0:00:27.560 --> 0:00:31.360 Alex marlow Show. All right. 0:00:31.360 --> 0:00:34.840 I've been looking forward to this for really months. Winton 0:00:34.880 --> 0:00:37.000 Hall is here. He is our social media director at 0:00:37.040 --> 0:00:39.960 Brightbart News and author of the book Code Read, which 0:00:40.000 --> 0:00:41.960 is out now and a top and a bunch of 0:00:41.960 --> 0:00:44.720 Amazon charts at the moment, the Left, the Right, China 0:00:44.800 --> 0:00:46.239 and the race to control AI. 0:00:46.600 --> 0:00:49.199 We did a brief hit on the live radio show. 0:00:49.000 --> 0:00:51.240 Which you may have come across on the podcast feed, 0:00:51.560 --> 0:00:53.400 but we're going to you today on the book, which 0:00:53.400 --> 0:00:57.080 is really a fantastic book. It is informative, but it's accessible. 0:00:58.120 --> 0:01:01.200 This is what you need to understand, and he lays 0:01:01.200 --> 0:01:04.000 it out very clearly. If you want to know not 0:01:04.120 --> 0:01:06.480 just the future but the present, this sets you up 0:01:06.520 --> 0:01:09.160 to understand what could be the story of the century, 0:01:09.240 --> 0:01:13.160 which is the adoption of widespread AI, which has went 0:01:13.200 --> 0:01:15.319 to mentioned on the radio show earlier this week. Ninety 0:01:15.400 --> 0:01:17.199 nine percent of us are already using it. You cannot 0:01:17.240 --> 0:01:19.319 opt out. And we were at a major crossroads as 0:01:19.319 --> 0:01:22.760 a conservative movement because people, I think are rightfully freak 0:01:22.880 --> 0:01:26.080 the f out about AI. But there's a lot of 0:01:26.120 --> 0:01:28.560 opportunity and we need to embrace it in a lot 0:01:28.600 --> 0:01:31.920 of ways as well, because we cannot avoid it. And 0:01:31.959 --> 0:01:34.160 we're going to talk about everything that's in the book 0:01:34.360 --> 0:01:36.240 as least as much as we can we can get through, 0:01:36.280 --> 0:01:37.399 which might not be all of it, but there will 0:01:37.440 --> 0:01:39.760 be a lot of it on today's podcast. But the 0:01:39.760 --> 0:01:41.080 first thing you got to do is you get to 0:01:41.120 --> 0:01:42.120 go right now and buy the book. 0:01:42.160 --> 0:01:42.800 You need this book. 0:01:43.040 --> 0:01:45.560 You got to get it because this is first of fall. 0:01:45.560 --> 0:01:46.200 It's a good read. 0:01:46.319 --> 0:01:48.320 If you like science fiction, if you ever read my books, 0:01:48.320 --> 0:01:50.520 you like my books, you'll absolutely like this book. But 0:01:50.720 --> 0:01:53.120 this is information that you need and is presented in 0:01:53.160 --> 0:01:55.400 a way that is accessible, you can get. 0:01:55.760 --> 0:01:58.680 It is a it's a pleasure. It really is a pleasure. Winched. 0:01:58.760 --> 0:02:01.160 I honestly felt like I would kind of people. We 0:02:01.280 --> 0:02:04.840 say this as a compliment, but it's it did feel 0:02:04.880 --> 0:02:06.520 like a novel in some ways. And then I did 0:02:06.560 --> 0:02:08.920 feel like I was immersed in a world I wasn't 0:02:09.520 --> 0:02:12.280 totally familiar with. It did feel like, you know, I 0:02:12.320 --> 0:02:13.960 found myself, you know, leaning over to my wife and 0:02:13.960 --> 0:02:16.600 talking about AI just like spontaneously while. 0:02:16.480 --> 0:02:19.760 I was going through it. And that's that's a great sensation. 0:02:19.840 --> 0:02:21.639 I know that the point of the book is the content, 0:02:21.720 --> 0:02:24.360 but congrats, I'm putting together the book. What was the 0:02:24.400 --> 0:02:27.120 process like for you, as being a seasoned ghost writer 0:02:27.200 --> 0:02:29.280 or someone who's written many books but you haven't put 0:02:29.280 --> 0:02:31.320 your name on one in a few years. 0:02:32.200 --> 0:02:36.760 Well, my condolences to your wife for having to listen 0:02:36.840 --> 0:02:38.520 to I'm getting her prime. 0:02:38.639 --> 0:02:39.640 She's in the cancer field. 0:02:39.680 --> 0:02:41.640 She's in one of the fields that could really benefit 0:02:41.760 --> 0:02:42.120 from it. 0:02:42.160 --> 0:02:44.760 So she's it's the my field. I don't know if 0:02:44.760 --> 0:02:46.600 we're going to benefit journalism. I mean, I don't know 0:02:46.639 --> 0:02:49.200 how we're gonna do, but her field, she could thrive. 0:02:49.240 --> 0:02:52.720 Now, yeah, no, you're right. So I have. 0:02:52.880 --> 0:02:55.960 I've done twenty seven books, seven New York Times bestsellers. 0:02:56.200 --> 0:02:58.480 I've been very, very blessed in my career to work 0:02:58.480 --> 0:03:01.280 with some of the biggest and you know, greatest minds. 0:03:01.280 --> 0:03:04.040 And people and celebrities and all that. I will tell 0:03:04.080 --> 0:03:06.880 you just real candidly. This book took me to places 0:03:06.919 --> 0:03:09.840 I've never been as a writer when you really start 0:03:09.840 --> 0:03:11.519 immersing yourself deep deep. 0:03:11.680 --> 0:03:13.560 This is one of the most. 0:03:13.320 --> 0:03:18.120 Black box concepts on planet Earth, super complex, and so 0:03:18.280 --> 0:03:20.680 the writer in me is always looking for that narrative 0:03:20.720 --> 0:03:21.320 story arc. 0:03:21.400 --> 0:03:23.120 How can I tell this through a. 0:03:23.160 --> 0:03:28.600 Story lens to really pull people into the experience and 0:03:28.639 --> 0:03:32.480 not make it some dry PowerPoint presentation. On the other hand, 0:03:32.480 --> 0:03:34.440 you want to make sure that you've got that granular 0:03:34.720 --> 0:03:38.360 accuracy because you know that those details really do matter. 0:03:38.480 --> 0:03:40.840 So you're right, you know it's I always love your 0:03:40.840 --> 0:03:41.880 books because you know you. 0:03:41.880 --> 0:03:43.640 Have a huge amount of endnotes. 0:03:43.880 --> 0:03:47.760 I think I have eighty pages of endnotes and fifty endnotes, 0:03:47.800 --> 0:03:51.400 and you know you're cut from that same journalistic cloth 0:03:51.440 --> 0:03:53.560 of let's get the facts right and the rest of it. 0:03:54.840 --> 0:03:56.200 I think for me, I. 0:03:56.080 --> 0:03:58.440 Gotta say something amusing to the audience because I invented 0:03:58.480 --> 0:04:00.000 this to you offline. But I think this is really 0:04:00.200 --> 0:04:03.440 it's really fun because Wyndon is if you can already 0:04:03.440 --> 0:04:05.480 tell a specially if you're watching and not listening. He 0:04:05.600 --> 0:04:08.400 is one of the most encouraging people at Bright Part. 0:04:08.440 --> 0:04:11.160 He's got that great personality where he really wants his 0:04:11.160 --> 0:04:13.960 friends to succeed. So Wyndon has always lavish praise on 0:04:14.040 --> 0:04:16.120 me for my books, but I always felt like it 0:04:16.160 --> 0:04:16.720 was because he. 0:04:16.720 --> 0:04:17.239 Was my friend. 0:04:17.440 --> 0:04:20.040 Well now I actually sort of believe him because this book, 0:04:20.120 --> 0:04:22.720 the way it was structured and written, it really would 0:04:22.720 --> 0:04:24.159 have been the exact sort of thing I would have 0:04:24.200 --> 0:04:26.320 tried to do with this subject matter. So now I 0:04:26.320 --> 0:04:27.880 actually believe you if you say you like my books, 0:04:27.880 --> 0:04:30.799 because I feel like now our books are similar. 0:04:32.160 --> 0:04:34.400 I really do mean it, and you know I do. 0:04:34.520 --> 0:04:35.760 But we are dear friends. 0:04:35.839 --> 0:04:39.760 I would say this that this book I approached as 0:04:39.839 --> 0:04:42.839 a missional and by that I mean I didn't want 0:04:42.880 --> 0:04:45.320 to write this book. I have a great life, you know, 0:04:45.400 --> 0:04:49.320 telling memoirs of celebrities and famous people's first person accounts. 0:04:49.720 --> 0:04:52.200 I think this is as a ghostwriter, just so people 0:04:52.320 --> 0:04:56.479 a ghost they're trommling ghostwriter. Beyond working at Bright Part, 0:04:56.560 --> 0:04:59.560 rinning our social media, which is which is very impressive, 0:04:59.560 --> 0:05:00.200 but go ahead. 0:05:01.360 --> 0:05:04.200 Yes, And so as a celebrity ghost writer, I love that. 0:05:04.320 --> 0:05:06.120 But I will tell you I feel like there is 0:05:06.160 --> 0:05:09.760 such an urgency here, particularly for the conservative movement. You 0:05:09.800 --> 0:05:12.159 were so right to flag that at the beginning of 0:05:12.160 --> 0:05:13.440 this discussion. 0:05:14.080 --> 0:05:16.000 This is moving so fast, and. 0:05:16.080 --> 0:05:20.400 Part of the power grab happens in that speed, because 0:05:20.520 --> 0:05:24.000 while things are blurring by, it's very easy to put 0:05:24.040 --> 0:05:28.560 down pillars and grab land masks on these topics and 0:05:28.600 --> 0:05:32.080 these policies. Everybody needs to understand something. If you forget 0:05:32.120 --> 0:05:36.440 everything else, just understand this AI is going to become, 0:05:36.480 --> 0:05:39.960 and it's starting to become the access upon which every 0:05:40.000 --> 0:05:44.000 policy area that the conservative movement has focused on for 0:05:44.080 --> 0:05:47.120 the last half century is going to spend. I'm talking 0:05:47.120 --> 0:05:51.960 about everything from education, I'm talking about everything from jobs, economics, 0:05:52.000 --> 0:06:00.279 free market, capitalism, national security, certainly, religious freedom, faith, reason, censorship, 0:06:00.600 --> 0:06:05.560 scan and band technology. The whole playbook is getting rewritten 0:06:05.600 --> 0:06:07.560 in real time, and so what I wanted to do. 0:06:07.760 --> 0:06:11.760 Nobody had ever tried to wrap their arms around the 0:06:11.800 --> 0:06:15.480 whole of this in a chat GPT post chat GPT. 0:06:15.320 --> 0:06:18.160 World, and it took me two years. 0:06:18.360 --> 0:06:22.200 I've read so many AI books my head spend literally 0:06:22.279 --> 0:06:27.320 thousands of articles, peer review, journals, trade I'm an informational scavenger. 0:06:27.400 --> 0:06:29.560 That's part of my as a celebrity ghostwriter. I like 0:06:29.640 --> 0:06:33.000 to get every piece of information I can't absorb, that 0:06:33.560 --> 0:06:36.359 build up that title way behind the mental gate, and 0:06:36.400 --> 0:06:39.240 then unlatch and then try to tell a story in 0:06:39.279 --> 0:06:41.800 a hopefully elegant and artful way with a narrative arc. 0:06:42.160 --> 0:06:45.240 So I wanted to do that because I feel that 0:06:45.920 --> 0:06:49.760 as a movement conservative our folks a are not in 0:06:49.800 --> 0:06:51.760 the rooms where the future is being built. Yes, there 0:06:51.760 --> 0:06:55.839 are a few libertarian and right leaning people in Silicon Valley, 0:06:55.839 --> 0:06:59.080 and there are a lot of courageous people write leaning 0:06:59.080 --> 0:07:02.480 in Silicon Valley, but we're not in those rooms. Eighty 0:07:02.480 --> 0:07:05.799 five percent of all donations flow to the Democratic side 0:07:05.800 --> 0:07:08.560 out of Silicon Valley. We know what they tried to 0:07:08.600 --> 0:07:12.200 do with the Global Disinformation Index to Bright Partners. We 0:07:12.280 --> 0:07:15.840 know that they have tried to dlist, demonetize deep platform, 0:07:16.120 --> 0:07:17.680 and they even did it with the President of the 0:07:17.800 --> 0:07:19.480 United States. If they can do it, if they can 0:07:19.560 --> 0:07:22.160 muzzle the President of the United States with Google products 0:07:22.200 --> 0:07:26.240 on YouTube and Facebook, just imagine what they have planned 0:07:26.280 --> 0:07:28.640 for you and me once the toggle switch flips back 0:07:28.880 --> 0:07:31.960 from a Republican control to the other team. 0:07:32.040 --> 0:07:34.680 And so I felt compelled to get this out right away. 0:07:34.840 --> 0:07:36.640 And today you know what I want to go through 0:07:36.800 --> 0:07:39.960 in this conversation. Here, we've got a nice chunk of 0:07:39.960 --> 0:07:42.240 time to get through stuff, and we might make this 0:07:42.280 --> 0:07:44.400 a double podcast, so I haven't decided yet, so those 0:07:44.400 --> 0:07:45.760 of you are tuning in the beginning. 0:07:45.800 --> 0:07:48.920 I might make one long one or two medium length ones. 0:07:49.200 --> 0:07:50.400 But I want to go through I want to get 0:07:50.400 --> 0:07:54.280 people vocabulary so they can follow the conversation. I want 0:07:54.280 --> 0:07:57.200 to make sure that we're talking about big picture in 0:07:57.320 --> 0:08:01.000 terms of where things are going with AI where they 0:08:01.040 --> 0:08:04.280 already are. And I want to go through your things 0:08:04.320 --> 0:08:06.280 that we need to be cautious about. And then I 0:08:06.320 --> 0:08:08.760 want to go through things that people can be optimistic about, 0:08:08.760 --> 0:08:10.760 which fields are really going to benefit, and how things 0:08:10.760 --> 0:08:14.720 could get better for Americans, particularly conservative Americans. But I 0:08:14.760 --> 0:08:18.120 also want to talk about some of the various sections 0:08:18.120 --> 0:08:19.720 you talk about in the book, how ais who used 0:08:19.720 --> 0:08:23.160 for warfare, how it's going to change romantic relationships, You 0:08:23.200 --> 0:08:24.880 get into all the sex spot stuff, which is just 0:08:25.440 --> 0:08:27.600 fascinating and horrifying at the same time. I want to 0:08:27.600 --> 0:08:30.400 talk about education cheating but also how it can be 0:08:30.480 --> 0:08:33.319 used to help educate you. And then I want to 0:08:33.360 --> 0:08:36.320 talk about the singularity in the end, which is crazy 0:08:36.360 --> 0:08:40.040 where we're eventually going to just merge into a human 0:08:40.160 --> 0:08:43.160 robot hybrid, which is already in the works. I mean, 0:08:43.240 --> 0:08:45.720 Musk is trying it every day with his neuralink stuff, 0:08:45.760 --> 0:08:49.480 so he's already on that. And huge moral implications also 0:08:49.800 --> 0:08:52.400 the AI being used in religious settings, which you talk 0:08:52.440 --> 0:08:54.120 about as well in the book. So I want to 0:08:54.160 --> 0:08:56.080 get through all this stuff, but let's start with sort 0:08:56.080 --> 0:09:00.360 of big picture when what do you think is the 0:09:00.520 --> 0:09:05.120 entry point for people in the audience are not voracious 0:09:05.160 --> 0:09:08.040 consumers of AI content and they're not living and dying 0:09:08.360 --> 0:09:11.480 with every new announcement from chat, TPT or nvideo or 0:09:11.520 --> 0:09:13.360 something like that. Is the well, where do you think 0:09:13.440 --> 0:09:15.680 is the entry point for your target audience? 0:09:15.679 --> 0:09:15.880 Here? 0:09:16.960 --> 0:09:19.520 Yes, I think most of us, even if we're not 0:09:19.640 --> 0:09:21.520 part of this, we know we need to be and 0:09:21.960 --> 0:09:23.840 either for ourselves or for our children. 0:09:24.080 --> 0:09:26.080 And that's what that's what code read really is. 0:09:26.080 --> 0:09:29.200 It's trying to say, whether you're just coming to this 0:09:29.240 --> 0:09:33.199 conversation or you are following it, you're able to get 0:09:33.240 --> 0:09:37.199 a glide path. Number one, whether you may not think 0:09:37.280 --> 0:09:40.480 you care about AI politics, but AI politics cares about you. 0:09:40.760 --> 0:09:43.400 This is going to touch every single part of our life. 0:09:43.559 --> 0:09:46.800 It already is number two. It is a general purpose 0:09:46.880 --> 0:09:50.760 technology a GPT. So when we hear chat GPT, that's 0:09:50.800 --> 0:09:54.880 referring to generative pre trained transformer. A GPT in the 0:09:54.920 --> 0:09:58.880 societal sense is something like electricity or the combustion engine, 0:09:59.000 --> 0:10:02.319 or steam engine, or or any other kind of system 0:10:02.480 --> 0:10:06.720 wide change that is going to revolutionize the entire world. 0:10:06.760 --> 0:10:09.600 Sundar pinch Ey at Google says that it is more 0:10:09.640 --> 0:10:13.520 akin to fire, the invention of fire, And so when 0:10:13.559 --> 0:10:15.760 you think of something that seismic, you note's. 0:10:15.440 --> 0:10:16.760 Going to touch everything. I think. 0:10:16.800 --> 0:10:19.120 The other thing is you say you're already using AI, 0:10:19.200 --> 0:10:20.280 whether you realize it or not. 0:10:20.440 --> 0:10:22.199 Ninety nine percent of us use AI. 0:10:22.760 --> 0:10:25.640 Sixty four percent of us, though, don't realize when we're 0:10:25.720 --> 0:10:28.360 using AI, because it's baked into things like our weather 0:10:28.400 --> 0:10:32.520 apps or streaming platforms, or our GPS or a host 0:10:32.520 --> 0:10:36.040 of other algorithms. So you're already using it, you're going 0:10:36.120 --> 0:10:38.760 to And what we've got to do is understand what 0:10:38.840 --> 0:10:42.079 I like to call roses and land mines. The roses 0:10:42.080 --> 0:10:45.520 are the possibilities and the positives, and the land mines 0:10:45.559 --> 0:10:47.120 are obviously the danger and. 0:10:47.080 --> 0:10:47.880 The threat factors. 0:10:48.000 --> 0:10:51.480 So there's a lot of both and we've got to 0:10:51.520 --> 0:10:53.600 know which ones are which, and I try to lay 0:10:53.640 --> 0:10:56.200 that out very clearly in code red good. 0:10:56.240 --> 0:10:59.360 Okay, So one of the things that is another entry 0:10:59.360 --> 0:11:01.000 point that things in important to people's I think we 0:11:01.040 --> 0:11:03.880 all get if you're on board that this is going 0:11:03.920 --> 0:11:06.640 to happen. I think a lot of people are on 0:11:06.679 --> 0:11:10.480 board with that we need to beat China. Okay, So 0:11:10.600 --> 0:11:13.040 that sounds very like we could all agree on this. 0:11:13.120 --> 0:11:15.640 I think that's sort of probably ninety percent of people 0:11:15.679 --> 0:11:19.520 in America. Grows the political stripes once you acknowledge that 0:11:19.559 --> 0:11:21.760 there is an AI arms race taking place, that we 0:11:21.760 --> 0:11:25.520 need to beat China. So what do we mean by that? 0:11:25.600 --> 0:11:27.719 What does that look like? What is beating China? And 0:11:27.760 --> 0:11:29.480 where are we at in this regard as of now? 0:11:30.480 --> 0:11:33.839 Yeah, so I say we've got to beat China without 0:11:33.920 --> 0:11:35.720 becoming China when none of us want to live in 0:11:35.760 --> 0:11:40.440 a CCP of techno authoritarian surveillance state. Let me explain 0:11:40.480 --> 0:11:42.720 why we need to beat them, and I will say 0:11:42.720 --> 0:11:46.040 that there's actually more bipartisan agreement once you see why 0:11:46.200 --> 0:11:49.720 and we talk about why beyond some of the obvious things. 0:11:49.920 --> 0:11:55.120 The first reason is, whoever reaches a technological dominance in AI, 0:11:55.360 --> 0:11:58.320 whether it's US, for China is going to have supremacy 0:11:58.400 --> 0:12:03.040 in things like encryption code, hacking of missile systems, hacking 0:12:03.120 --> 0:12:07.400 of infrastructure, and all of cybersecurity, and that is going 0:12:07.440 --> 0:12:10.840 to be very very very hard to surmount whoever gets 0:12:10.880 --> 0:12:15.280 there first. Once we hit something called r SI recursive 0:12:15.400 --> 0:12:18.400 self improvement, which is a fancy way of saying it's 0:12:18.480 --> 0:12:21.200 very simple. We'll explain all the terms and I do 0:12:21.280 --> 0:12:24.040 in the book. Recursive self improvement is AI that can 0:12:24.080 --> 0:12:29.079 correct its own mistakes, improve autonomously, and constantly scale up 0:12:29.120 --> 0:12:31.520 its improvement. And so once you do that, you're on 0:12:31.559 --> 0:12:35.599 a glide path rocket and you will quickly have dominance. 0:12:35.080 --> 0:12:36.160 In whatever that area is. 0:12:36.200 --> 0:12:39.079 In this case, it's that The other reason is real basic, 0:12:39.160 --> 0:12:43.320 which is economic flourishing and the growth curve. We know 0:12:43.400 --> 0:12:46.480 that the mag seven, the Magnificent seven, which are our 0:12:46.559 --> 0:12:50.559 big seven American tech companies, the ones that we all know, 0:12:50.720 --> 0:12:54.680 Meta and Google and so forth, they constitute a third 0:12:54.840 --> 0:12:58.480 of the S and P five hundred just those seven companies, 0:12:58.520 --> 0:13:03.480 so we know the economic power and then the flip side, 0:13:03.720 --> 0:13:07.199 just to show both sides. When China released Ye's AI 0:13:07.400 --> 0:13:11.000 model Deep Seek, there are one model. It created in 0:13:11.080 --> 0:13:15.880 the largest single day market cap wipeout for Nvidia six 0:13:16.120 --> 0:13:19.040 hundred billion. That's a bee, so almost two third of 0:13:19.080 --> 0:13:22.559 a trillion dollars in one single day. So you can 0:13:22.600 --> 0:13:25.480 see this tug of war on the economic front, and 0:13:25.559 --> 0:13:27.760 you can see this tug of war as it relates 0:13:27.800 --> 0:13:31.680 to global tech supremacy that relates to defense. And that's 0:13:31.720 --> 0:13:35.839 why you're starting to see Democrats and Republicans saying no, yeah, 0:13:35.840 --> 0:13:38.120 we really do have to be China. This is this 0:13:38.200 --> 0:13:41.559 is not just type marketing to get investor cash. 0:13:41.600 --> 0:13:43.400 They're real implications. 0:13:42.760 --> 0:13:43.560 Here, right. 0:13:43.600 --> 0:13:46.480 Okay, So where are we at currently in terms of 0:13:46.800 --> 0:13:49.520 the because we just saw it. I mentioned this on 0:13:49.520 --> 0:13:52.920 the live show. I want this conversation mostly be evergreen. 0:13:52.960 --> 0:13:55.960 But there is a news item that I think in 0:13:56.000 --> 0:13:59.240 today's news that super Micro, which is this company that 0:13:59.320 --> 0:14:02.400 is just tnking right now because employees were smuggling in 0:14:02.520 --> 0:14:04.959 Vidia chips to China. 0:14:05.679 --> 0:14:06.160 What do you. 0:14:07.800 --> 0:14:10.160 China needs a lot of our stuff and we can 0:14:10.200 --> 0:14:12.280 theoretically stop them from getting some of it. 0:14:13.600 --> 0:14:18.120 The Achilles heel of China are what are called graphics 0:14:18.240 --> 0:14:21.800 processing units. You may hear people call it GPUs, and 0:14:21.960 --> 0:14:25.880 in Vidia is the world global dominant leader in GPU production. 0:14:25.960 --> 0:14:27.880 We do have other American companies, but they are the 0:14:27.960 --> 0:14:31.080 leader because they are far and away the most advanced, 0:14:31.200 --> 0:14:35.080 and the big achilles Heel for China is that they 0:14:35.200 --> 0:14:38.640 need our in Vidia GPUs and they need the most 0:14:38.680 --> 0:14:41.560 advanced ones they can get. Now, there's a big fight 0:14:41.640 --> 0:14:44.280 and has been for a while export chip control fight 0:14:44.760 --> 0:14:48.160 over should we be giving or allowing American companies like 0:14:48.200 --> 0:14:50.920 in Vidia to sell advanced chips to China. The answer 0:14:50.960 --> 0:14:54.880 is obviously no, not our most advanced at minimum. 0:14:54.840 --> 0:14:55.880 And there's been a debate. 0:14:56.080 --> 0:15:00.480 President Trump has had these export chip controls. There has 0:15:00.560 --> 0:15:03.080 been recently some discussion of one of their lower grade 0:15:03.120 --> 0:15:06.880 chips called an H two hundred in in giving an 0:15:06.920 --> 0:15:09.000 allowance for them to be able to do on that. 0:15:09.400 --> 0:15:13.800 But this whole concept is really important, and again left 0:15:13.840 --> 0:15:16.120 and right sort of agree on this. In some regards 0:15:16.160 --> 0:15:19.200 about what are called choke points, there are only a 0:15:19.240 --> 0:15:22.359 few places in the supply chain or in the industry 0:15:22.440 --> 0:15:26.280 and artificial chillnes that you can almost like taking your 0:15:26.360 --> 0:15:29.280 garden hose and just squeezing the middle so that the 0:15:29.360 --> 0:15:33.360 water can't flow through. Those choke points allow us to 0:15:33.400 --> 0:15:35.640 maintain our lead and hopefully. 0:15:35.240 --> 0:15:37.920 Accelerate our lead in that AI race. 0:15:38.240 --> 0:15:41.680 And so this one is a really important one, cutting 0:15:41.680 --> 0:15:43.720 off access to these chips, and you're starting to see, 0:15:43.720 --> 0:15:46.760 as you said, you know, all these schemes and scams 0:15:46.800 --> 0:15:49.680 to try to smuggle chips in and so forth. The 0:15:49.760 --> 0:15:53.680 head of Deep Seek, which is China's powerhouse AI. He 0:15:54.200 --> 0:15:55.880 actually and I talk about this in Code Red. I 0:15:55.920 --> 0:16:01.080 actually quote him, he said in a little noticed publication 0:16:01.560 --> 0:16:04.720 mentioned that he said, you know, my problem is not money. 0:16:05.280 --> 0:16:08.000 I can raise his capital all day. Look, my problem 0:16:08.040 --> 0:16:10.600 is access to the best chips. And that's the tell, 0:16:10.760 --> 0:16:15.480 right that they've got to have that semiconductors. Fancy your 0:16:15.520 --> 0:16:20.240 way of saying chips or GPUs AI chips. So that's 0:16:20.320 --> 0:16:22.920 the battle, and it's an important one, all right. 0:16:23.040 --> 0:16:25.800 So I think that's a good There's some vocabulary I 0:16:25.800 --> 0:16:29.680 want people to understand before we get too far into 0:16:29.680 --> 0:16:34.040 this thing that is really I think important. So some 0:16:34.120 --> 0:16:36.200 of the things that come up, So l l ms, 0:16:36.280 --> 0:16:36.880 this is a big one. 0:16:36.920 --> 0:16:38.280 Explain what l lms. 0:16:37.960 --> 0:16:43.280 Are, great yes sansor large language model l l M. 0:16:43.480 --> 0:16:45.400 And this is what you think of when you think 0:16:45.440 --> 0:16:45.800 of your. 0:16:45.720 --> 0:16:52.280 AI chat pot right, So chat GPT rock Gemini, whatever 0:16:52.400 --> 0:16:53.400 one you'd like to use. 0:16:53.720 --> 0:16:54.680 That's what an ll M. 0:16:54.760 --> 0:16:58.320 Is, right, and so what are examples of this and 0:16:58.920 --> 0:17:01.520 how are they used in as. 0:17:02.400 --> 0:17:07.960 So, an LLM is trained on a massive, massive data trove, 0:17:08.160 --> 0:17:12.800 and so you're talking about trillions of what are called tokens, 0:17:12.800 --> 0:17:16.159 which is about a three quarters of a word. So 0:17:16.320 --> 0:17:18.320 just to quickly show you, so if you and I 0:17:18.400 --> 0:17:22.000 read from birth to death without stopping, assuming the average 0:17:22.040 --> 0:17:25.600 rate of speed of of a reader and life expectancy 0:17:25.720 --> 0:17:27.280 of a human. 0:17:27.720 --> 0:17:29.800 We would read about eight billion. 0:17:29.480 --> 0:17:33.359 Words, okay, average rate of speed and how many years 0:17:33.400 --> 0:17:37.439 the average person lives in one month. An enterprise LLLM 0:17:37.560 --> 0:17:40.840 large language model CHAT an AI chatbot will be trained 0:17:40.880 --> 0:17:45.720 on eight trillion that's with a t tokens three quarters 0:17:45.760 --> 0:17:47.920 of words, So it's not exactly, but it's roughly that 0:17:48.280 --> 0:17:51.240 you can see that in balance, And that's how how 0:17:51.440 --> 0:17:54.879 massive the data sets that an LLM is trained on. 0:17:54.960 --> 0:17:58.560 And so no human it would take us forever and 0:17:58.680 --> 0:18:01.600 beyond for one an anyone person, certainly. 0:18:01.280 --> 0:18:02.720 Outside of their life expectancy. 0:18:02.840 --> 0:18:07.359 So that's how they're trained. This is all racing toward 0:18:07.400 --> 0:18:12.879 another acronym called AGI, which stands for Artificial General intelligence, 0:18:13.320 --> 0:18:16.720 and this is a theoretical construct. It has not yet 0:18:16.760 --> 0:18:20.320 been achieved, in some question if it could, but the 0:18:20.600 --> 0:18:25.600 major AI companies are racing toward AGI. Artificial general intelligence 0:18:25.680 --> 0:18:29.240 is the point at which an AI can do at 0:18:29.520 --> 0:18:34.040 equal level or slightly better any cognitive task than a 0:18:34.080 --> 0:18:34.880 human can do. 0:18:35.359 --> 0:18:38.320 The one up above that is something called. 0:18:38.200 --> 0:18:42.880 A SI, which stands for artificial super intelligence. And this 0:18:43.000 --> 0:18:46.040 is this would be the theoretical point at which an 0:18:46.320 --> 0:18:50.080 AI is far in a way beyond anything that a 0:18:50.160 --> 0:18:54.920 human mind could ever achieve or even imagine. So that's 0:18:55.000 --> 0:18:58.320 when a lot of the discussion about danger and you know, 0:18:58.400 --> 0:19:02.399 sort of apocalyptic type of discussions come in. 0:19:02.560 --> 0:19:05.119 Right exactly, So this is the age. 0:19:05.520 --> 0:19:07.239 This is where we're getting to the point where the 0:19:07.280 --> 0:19:10.600 machines are just building better and better machines on their own. 0:19:10.760 --> 0:19:13.440 So the machine learning is just so intense and powerful 0:19:13.880 --> 0:19:17.399 that the humans are just aren't even necessary to the equation. 0:19:17.560 --> 0:19:19.800 And I think that's where all the sci fi scenarios 0:19:19.800 --> 0:19:21.880 play out. And I definitely want to get there later 0:19:21.960 --> 0:19:22.919 in the conversation. 0:19:23.280 --> 0:19:25.919 Because the book is you write that it's a political. 0:19:25.520 --> 0:19:28.920 Book about AI rather than a AI book about politics. 0:19:28.920 --> 0:19:31.560 So you start from the premise of that this is 0:19:31.840 --> 0:19:35.080 designed to kind of map out a political battlefield. What 0:19:35.119 --> 0:19:37.040 do people need to know about where we're at on this? 0:19:37.119 --> 0:19:39.720 Because I been talking to the audience, I spent a 0:19:39.760 --> 0:19:42.560 couple of days in Silicon Valley earlier this week, and 0:19:42.720 --> 0:19:43.879 I got to be in the room with some of 0:19:43.960 --> 0:19:47.760 the most important CEOs in this space. Briefly, almost all 0:19:47.800 --> 0:19:49.800 the off records. It's not too much I can report, 0:19:49.880 --> 0:19:51.359 but I can tell you this that there is a 0:19:51.480 --> 0:19:54.399 openness to working with the Trump administration on this. And 0:19:54.520 --> 0:19:57.000 I don't think everyone you would think. I don't think 0:19:57.040 --> 0:19:59.600 you can narrowly cast the way we could in past 0:19:59.600 --> 0:20:02.560 iteration into the Silicon Valley as everyone is a left 0:20:02.560 --> 0:20:05.840 winger anthropic, They're gone. I mean, they're completely left wing, 0:20:05.960 --> 0:20:08.760 far left. Google, I still think the most evil company 0:20:08.760 --> 0:20:10.800 in the world, even though they've shown some willingness to 0:20:10.840 --> 0:20:12.919 work with Trump on some stuff. And I'm trying to 0:20:12.960 --> 0:20:15.160 do some reporting on that for the audience. But there's 0:20:15.160 --> 0:20:17.160 some other players in the space that are not knee 0:20:17.240 --> 0:20:21.359 jerk anti Trump necessarily and are definitely willing to play ball. Now, 0:20:21.440 --> 0:20:23.320 you guys, remember the last time Ema Joe was here, 0:20:23.359 --> 0:20:25.400 we talked only about parenting. 0:20:25.840 --> 0:20:27.160 I think it's the highest. 0:20:26.800 --> 0:20:31.920 Calling for any adult human being individual, and it starts 0:20:32.040 --> 0:20:35.000 with recognizing that as that life grows inside of you, 0:20:35.200 --> 0:20:37.639 if you're a woman, no men give birth, it's just 0:20:37.680 --> 0:20:40.879 a fact. Then that is a human life with rights 0:20:40.920 --> 0:20:44.080 and a right to exist. And one of the organizations 0:20:44.080 --> 0:20:45.639 that I think does the best job in the world 0:20:45.720 --> 0:20:50.000 making that case is Preborn. Preborn offers ultrasound services and 0:20:50.080 --> 0:20:53.400 heartbeat monitors to expected mothers who may be debating whether 0:20:53.520 --> 0:20:55.960 or not to terminate the life that grows inside of them, 0:20:56.240 --> 0:20:57.920 or whether or not to give that baby a chance 0:20:57.960 --> 0:21:00.600 at a full natural life as God intended. They're an 0:21:00.640 --> 0:21:03.560 incredible group and I really value their partnership so much. 0:21:03.560 --> 0:21:06.600 On the show they provide those ultrasounds. They each one's 0:21:06.640 --> 0:21:08.520 like twenty eight bucks, So twenty eight bucks a month 0:21:08.560 --> 0:21:10.800 can save a baby a month, two hundred and eighty 0:21:10.840 --> 0:21:12.320 dollars you can save ken babies. 0:21:12.720 --> 0:21:13.760 Some of you are really generous. 0:21:13.760 --> 0:21:17.680 Fifteen thousand dollars amazing tax deduction as well. Fifteen thousand 0:21:17.720 --> 0:21:20.600 dollars you buy a whole ultrasound machine, save babies for 0:21:20.800 --> 0:21:22.720 I don't know, all year long for a while. It 0:21:22.800 --> 0:21:24.679 is an amazing group, a group that I'm proud that 0:21:24.720 --> 0:21:26.760 I corded to the show because I believe in them 0:21:26.880 --> 0:21:29.960 that much. Preborn dot com slash Marlow or a three 0:21:30.080 --> 0:21:32.840 zero eight three three eight five zero baby A three 0:21:32.920 --> 0:21:35.639 three eight five zero two two two nine. Or you 0:21:35.680 --> 0:21:37.960 go to Alex Marlow dot com. You click the preborn banner. 0:21:38.040 --> 0:21:40.760 Make sure you tell them I sent you. But you 0:21:40.840 --> 0:21:43.680 got to go donate to preborn early and offen this year. 0:21:43.680 --> 0:21:45.439 Do the monthly sing, make it a regular thing. Make 0:21:45.440 --> 0:21:47.439 it a regular part of your life. Save some babies 0:21:47.480 --> 0:21:48.840 each and every month with preborn. 0:21:50.000 --> 0:21:53.359 Yeah, it's Silicon Valley's culture is very interesting. So eighty 0:21:53.359 --> 0:21:56.560 five percent of all donations do flow to Democrats. You 0:21:56.640 --> 0:21:59.840 just brought up Anthropic. Since twenty twenty, Anthropic and it's 0:21:59.840 --> 0:22:04.160 in employee network have have donated two hundred million. 0:22:03.840 --> 0:22:07.480 Dollars to Democrats. Here's the reality though. 0:22:07.600 --> 0:22:11.600 Okay, they're also very pragmatic, and they have to be 0:22:11.600 --> 0:22:14.080 because of regulation. So if you and I want to 0:22:14.080 --> 0:22:16.879 make an AI data center, these are you know, twenty 0:22:16.960 --> 0:22:23.360 five football field sized campuses with enormous regulatory overlays. I've 0:22:23.359 --> 0:22:27.000 got to get Energy Department of Regulatory approvals. It's a 0:22:27.080 --> 0:22:31.119 national security threat potentially because enemy like a like in 0:22:31.160 --> 0:22:34.480 a warfare would attack these data centers to take out communication. 0:22:35.040 --> 0:22:38.800 There is no way that a massive enterprise level you know, 0:22:39.119 --> 0:22:43.240 AI company in America can do business and be completely 0:22:43.320 --> 0:22:46.320 at war with the administration over it. 0:22:46.400 --> 0:22:47.240 So Trump, at. 0:22:47.240 --> 0:22:49.920 Least for the rest of his second term, they're willing 0:22:49.960 --> 0:22:52.679 to you know, play along, you know, sort of go 0:22:52.760 --> 0:22:55.240 along to get along if they have to, but make 0:22:55.359 --> 0:22:57.800 a mistake about their default setting. As you said, some 0:22:57.840 --> 0:23:00.360 of these key players, I think they are right now 0:23:00.400 --> 0:23:02.320 willing to work with because they know. 0:23:02.280 --> 0:23:02.840 They have to. 0:23:03.240 --> 0:23:05.960 I also think they do have a genuine concern about 0:23:05.960 --> 0:23:10.240 a fusion between left and right populism starting to come 0:23:10.280 --> 0:23:12.600 together on some of these issues. And you know, the 0:23:12.880 --> 0:23:14.600 final thing, in a very serious way that I think 0:23:14.760 --> 0:23:19.000 all of us nobody wants to see is real social 0:23:19.080 --> 0:23:22.359 chaos and disruption. You know, we've already seen sort of 0:23:22.359 --> 0:23:27.000 the Luigi Mangioni phenomena where people become unhinged and take 0:23:27.400 --> 0:23:31.119 horrific actions and so forth. And I think there is 0:23:31.359 --> 0:23:34.800 some degree of a real fear of social unrest. There 0:23:34.840 --> 0:23:38.200 are a lot of AI industry folks who are very 0:23:38.240 --> 0:23:42.000 concerned that if they get blame for massive job loss 0:23:42.080 --> 0:23:44.840 or if that kind of thing comes to pass, the 0:23:44.920 --> 0:23:48.240 social unrest piece will be there too. So I think 0:23:48.320 --> 0:23:51.120 they are some of them, the more reasonable ones, able 0:23:51.160 --> 0:23:53.159 to sit down. But I don't think we should in 0:23:53.200 --> 0:23:56.080 any way be fooled. Right the pendulum swings, And so 0:23:56.400 --> 0:23:59.880 what I say in Code Redd is that if tour, 0:24:00.320 --> 0:24:02.879 if you believe that AI is like fire and it 0:24:02.920 --> 0:24:05.439 can either burn down a civilization or be used to 0:24:05.960 --> 0:24:09.120 heat a hungry personal a meal and warm them, then 0:24:09.160 --> 0:24:13.159 the torch bearers who holds that fire is going to 0:24:13.200 --> 0:24:18.040 matter enormously and we should expect massive political pendulum swings. 0:24:18.200 --> 0:24:20.720 I mean, just look at how different the tone shift 0:24:20.920 --> 0:24:24.840 was right before the election and right after Kamala Harris 0:24:24.840 --> 0:24:28.840 lost and all of the heads of the AI industry 0:24:28.880 --> 0:24:31.080 and the big tech leaders they showed up. They gave 0:24:31.080 --> 0:24:33.840 their million dollar donation to the inaugural fund, they showed 0:24:33.920 --> 0:24:37.760 up at the inauguration that was They quickly realized, boy, 0:24:38.400 --> 0:24:41.000 we've got to get ourselves in line, even though US 0:24:41.080 --> 0:24:43.639 and all of our friends have been completely trying to 0:24:43.640 --> 0:24:47.159 get Kamala elected. So they're pragmatists, they're business people, but 0:24:47.240 --> 0:24:51.080 make no mistake if and when that pendulum swings, there 0:24:51.119 --> 0:24:53.119 is going to be a hard swing back to the left. 0:24:53.320 --> 0:24:54.040 Yeah. Interesting. 0:24:54.080 --> 0:24:55.840 Yeah, so we got to keep an eye on this politically. 0:24:55.880 --> 0:24:59.000 But I feel like some of these guys are I 0:24:59.080 --> 0:25:01.920 don't think they like woke. And it does seem like 0:25:01.960 --> 0:25:04.040 when did you track this later in the book, that 0:25:04.119 --> 0:25:07.119 it seems like there's somewhat of a faith revival happening 0:25:07.119 --> 0:25:09.520 in Silicon Valley, And I think this is really the 0:25:09.560 --> 0:25:12.800 pendulum swinging back from a lot of people acting like 0:25:12.840 --> 0:25:15.280 we were heading towards an era of AI gods that 0:25:15.560 --> 0:25:18.879 will all be worshiping a lot of there's seemed to 0:25:18.880 --> 0:25:20.960 be an embrace of Jesus happening in some corners. 0:25:22.080 --> 0:25:24.160 It's really a hopeful thing. 0:25:24.960 --> 0:25:27.480 And you know, people of faith, I grew up in 0:25:27.520 --> 0:25:32.080 the evangelical community of my whole life. You know, this 0:25:32.840 --> 0:25:35.240 is a part that I think is very hopeful. And 0:25:35.680 --> 0:25:38.560 not to overstate it, but I really tried to show 0:25:38.720 --> 0:25:43.800 the positives about AI and the hopeful parts of AI 0:25:43.920 --> 0:25:47.360 and code read, not just all of the potential threats 0:25:47.720 --> 0:25:49.320 or doom or any of that kind of thing, and 0:25:49.359 --> 0:25:49.960 one of them. 0:25:49.880 --> 0:25:53.320 Is this issue of faith. Look, I think that as. 0:25:53.280 --> 0:25:56.600 People enter this AI space, and as you start to 0:25:56.640 --> 0:25:59.800 realize what really makes us human in all our messiness, 0:26:00.080 --> 0:26:02.359 all our frailties and all our sinfulness, as all of 0:26:02.400 --> 0:26:06.360 our you know, wackiness as humans, you start to actually 0:26:06.560 --> 0:26:09.600 have a greater desire to want to hold onto that 0:26:09.920 --> 0:26:10.240 and to. 0:26:10.240 --> 0:26:11.919 Really build community with people. 0:26:12.040 --> 0:26:15.679 And so, you know, the more the machine starts to 0:26:15.760 --> 0:26:19.239 take the lead role and AI, I think people are 0:26:19.280 --> 0:26:20.560 actually going to say, you know. 0:26:20.600 --> 0:26:22.040 What, we want to have community. 0:26:22.280 --> 0:26:24.560 We want to be able to have you know, fellowship 0:26:24.600 --> 0:26:27.359 with our fellow man and woman. And I think that 0:26:27.440 --> 0:26:30.840 extends into you know, church and faith. And so you 0:26:30.960 --> 0:26:35.160 have seen in certain pockets in Silicon Valley this sort 0:26:35.200 --> 0:26:38.880 of revival type of fervor there, and I think it's 0:26:38.920 --> 0:26:40.280 searching for something deeper. 0:26:40.560 --> 0:26:42.840 You know, if you believe that there is. 0:26:42.760 --> 0:26:46.400 That crisis of meaning coming that I talk about, we're 0:26:46.400 --> 0:26:48.840 going to want to really reach out to people and 0:26:49.200 --> 0:26:52.520 you know, help people who are really struggling with that 0:26:52.640 --> 0:26:55.280 identity crisis because I think it's important. 0:26:55.520 --> 0:26:58.200 Yeah, And so part of my what I was doing 0:26:58.320 --> 0:27:00.600 earlier this week is I was a falling around the 0:27:01.240 --> 0:27:03.520 Commerce Secretary Howard Utnek, when he's doing a lot of 0:27:04.320 --> 0:27:06.960 meetings and speeches, and one thing that came up a 0:27:07.000 --> 0:27:10.199 lot that he was talking about the importance of exporting 0:27:10.280 --> 0:27:14.040 America's not just America's products and manufacturing, which is I 0:27:14.040 --> 0:27:15.800 think a big opportunity because I think a lot of 0:27:15.800 --> 0:27:18.199 this manufacturing, with some of this high tech stuff, is 0:27:18.200 --> 0:27:21.240 going to be better done here and not done overseas, 0:27:21.359 --> 0:27:24.240 I think for security reasons, but also for practical reasons. 0:27:24.280 --> 0:27:26.639 Things are moving so fast. I think the idea of 0:27:26.640 --> 0:27:28.760 having stuff in house. I noticed a lot of the 0:27:29.080 --> 0:27:32.080 places we were visiting were just literally the high tech companies, 0:27:32.080 --> 0:27:35.520 but they're manufacturing right there next to the right by 0:27:35.600 --> 0:27:39.119 the offices where people are scrolling away at you know, 0:27:39.200 --> 0:27:41.560 Excel sheets like they're also there. The engineers are right 0:27:41.560 --> 0:27:43.679 there too, So I think there's a practical nature that 0:27:43.720 --> 0:27:46.359 could be you know, a maga in terms of American jobs. 0:27:46.640 --> 0:27:48.919 But he also talked about exporting American values. We need 0:27:48.960 --> 0:27:51.760 to have democracy as part of this, and that's part 0:27:51.760 --> 0:27:54.119 of the reason why we need to win, is because 0:27:54.440 --> 0:27:57.439 we don't want whatever is the Chinese communist version of 0:27:57.440 --> 0:28:00.440 AI to be the one that proliferates around the world world. 0:28:00.600 --> 0:28:05.719 But that sounds easier said than done in an ethereal sense. 0:28:06.280 --> 0:28:10.119 The idea of exporting American democracy via AI sounds good, but. 0:28:10.160 --> 0:28:11.679 That sounds really hard. Have you given this a lot 0:28:11.680 --> 0:28:14.080 of thought? Windim, Oh, yeah, for sure. 0:28:14.280 --> 0:28:19.680 So in the China chapter, just compare American AI responses 0:28:20.000 --> 0:28:24.719 to questions like tell me about the Tenemen Square massacre, right, 0:28:26.160 --> 0:28:29.240 and the free speech and that our systems will allow 0:28:29.440 --> 0:28:33.560 and they are instantly shut down in a Chinese you 0:28:33.600 --> 0:28:35.440 know system, and so that. 0:28:35.640 --> 0:28:37.320 You know, free speech is one. 0:28:37.720 --> 0:28:42.240 Certainly, freedom of religion and religious freedom as well. Where 0:28:42.240 --> 0:28:45.600 I get concerned is with the whole discussion as it 0:28:45.640 --> 0:28:49.480 relates to the bias. Because the opening chapter is on 0:28:49.560 --> 0:28:51.960 political bias. We had a big story, as you know 0:28:52.080 --> 0:28:54.040 on Breitbart that just went crazy. 0:28:54.440 --> 0:28:54.560 Uh. 0:28:54.840 --> 0:29:01.200 Three United States Senators Senator Cotton, Senator Blackburn, Rick Scott 0:29:01.480 --> 0:29:04.720 weighing in. One of the code read revelation bombshells was 0:29:04.720 --> 0:29:07.560 that I was looking and doing a comprehensive analysis of 0:29:07.640 --> 0:29:11.840 these different chatbots, and one of them google Gemini, their 0:29:11.880 --> 0:29:15.960 deep search, their deep research protocol, and I simply asked 0:29:16.000 --> 0:29:19.080 it assess the current one hundred senators in the US 0:29:19.120 --> 0:29:22.920 Senate and tell me which ones have violated your. 0:29:22.840 --> 0:29:23.880 Hate speech policies. 0:29:24.520 --> 0:29:27.959 And what was amazing and horrifying was you'll be shocked 0:29:27.960 --> 0:29:32.920 to know that seven US senators are in violation of 0:29:32.960 --> 0:29:36.560 Google's Gemini's hate speech policy. Not a single one of 0:29:36.560 --> 0:29:39.800 them are democrat. All of them are Republican. And then 0:29:40.120 --> 0:29:44.200 on top of the bias, it also hallucinated because it 0:29:44.280 --> 0:29:45.000 thought that JD. 0:29:45.160 --> 0:29:46.760 Vance and Marco Rubio. 0:29:46.520 --> 0:29:49.680 Are also They thought it's thought still a senator, not 0:29:49.800 --> 0:29:52.840 the Secretary of State and the vice president, and threw 0:29:52.880 --> 0:29:55.520 them in for an additional two more So, you had 0:29:55.560 --> 0:30:00.360 you know, Tommy Toourville Cotton, you had Marsha Blackburn, you 0:30:00.440 --> 0:30:05.000 had Haggarty, you had Scott, you had Heide Smith Hawley, 0:30:05.680 --> 0:30:07.720 and then and then for good measure, you had JD. 0:30:07.800 --> 0:30:13.040 Vance and Marco Rubio. And this is just insanity. You 0:30:13.200 --> 0:30:16.560 have every right as a company to make a biased product. 0:30:16.640 --> 0:30:19.160 You can be as woke as you want. Free market 0:30:19.360 --> 0:30:22.000 I think we're all you know, free market capitalists you know, 0:30:22.000 --> 0:30:24.000 would say, fine, that's your right, as long as you're 0:30:24.000 --> 0:30:26.960 not breaking any lulls, okay, But when you start getting 0:30:27.000 --> 0:30:30.240 federal procurements to the two otherwise known as taxpayer dollars 0:30:30.320 --> 0:30:34.400 contracts to the tune of billions of dollars in multi 0:30:34.480 --> 0:30:39.040 year contracts which Google their parent company Alphabet does receive. 0:30:39.600 --> 0:30:42.680 That is a direct violation of President Trump's twenty twenty 0:30:42.680 --> 0:30:45.640 five AI Action Plan, which says we should not have 0:30:45.760 --> 0:30:51.080 ideologically biased a AI systems receiving federal tax procurement dollars 0:30:51.160 --> 0:30:52.520 otherwise known as contracts. 0:30:52.880 --> 0:30:54.560 And that's the reality. 0:30:54.960 --> 0:30:58.720 So here now you've got Google laughing its head off, right, 0:30:58.760 --> 0:31:02.440 they're able to completely smear half of the nation and 0:31:02.520 --> 0:31:05.239 break bard nation and everybody in the conservative moment and 0:31:05.760 --> 0:31:09.440 literally sitting US senators and laugh all the way to 0:31:09.480 --> 0:31:12.719 the bank. Because then then they're bagging, you know, billion 0:31:12.800 --> 0:31:17.640 dollars in contracts, and that that is that's that shouldn't 0:31:17.680 --> 0:31:19.840 be that way, And I think we have to make 0:31:19.880 --> 0:31:23.920 sure that it's not that way, because that is just 0:31:24.360 --> 0:31:27.600 a basic fundamental fairness. Why should we have to subsidize 0:31:27.640 --> 0:31:30.200 people who are literally trashing and making it up. 0:31:30.360 --> 0:31:32.040 I think it's also more dangerous though. 0:31:32.040 --> 0:31:36.280 I think it's a full scale candidate attack generator, and 0:31:36.320 --> 0:31:39.440 it can have real election implications when you have these 0:31:39.480 --> 0:31:43.480 systems that are perceived to be authoritative and voters are 0:31:43.480 --> 0:31:47.360 turning to them and saying who who is violating hate 0:31:47.360 --> 0:31:50.280 speech policies, and it's and it's giving this you know 0:31:50.360 --> 0:31:52.960 this information very very biased. 0:31:53.960 --> 0:31:54.840 Yeah, exactly. 0:31:54.880 --> 0:31:57.920 And so one of the deep concerns that we all 0:31:58.000 --> 0:32:01.520 should have is the garbage in garbage out phenomenon, which 0:32:01.560 --> 0:32:05.480 is that where are these llms where they're getting the 0:32:05.560 --> 0:32:09.360 language that they're using for their AI Because one of 0:32:09.400 --> 0:32:12.880 the biggest problems that we've had in recent memory is 0:32:12.960 --> 0:32:17.320 been Google is monopoly on search and they are very 0:32:17.360 --> 0:32:21.160 left bias. Wikipedia has a monopoly and on just sort 0:32:21.160 --> 0:32:23.840 of getting general information out into the public. They work 0:32:23.880 --> 0:32:25.920 with Google on stuff, they work with Facebook on stuff, 0:32:26.240 --> 0:32:28.960 and it's very hard to correct falsehoods that are with 0:32:29.000 --> 0:32:32.120 anything remotely political. So the question is how do we 0:32:32.320 --> 0:32:35.360 avert this again as we move we have a real 0:32:35.480 --> 0:32:37.400 chance here, we have a real chance at a major 0:32:37.440 --> 0:32:40.000 reset where we can kind of undo some of the 0:32:40.040 --> 0:32:43.360 dependents on left wing Google and Wikipedia information for just 0:32:43.440 --> 0:32:46.360 general knowledge. But we got to move now, We've got 0:32:46.400 --> 0:32:48.280 to act now because this is being embraced at a 0:32:48.280 --> 0:32:49.400 widespread level today. 0:32:50.280 --> 0:32:52.080 Well that's why I call it a code red moment. 0:32:52.120 --> 0:32:54.480 With the urgency is there, we've got to get coached 0:32:54.560 --> 0:32:57.080 up we have to understand this. You nailed it all right, 0:32:57.160 --> 0:32:59.520 So let's let's take our example that we broke the 0:32:59.520 --> 0:33:04.360 big this code read bombshell on the seven senators and Marco. 0:33:04.680 --> 0:33:08.240 So I then went through Google geminized deep research. 0:33:08.280 --> 0:33:10.760 I understand this wasn't just like one little prompt. 0:33:11.240 --> 0:33:16.480 It gave three thousand, four hundred word granular report, deep 0:33:16.520 --> 0:33:20.000 report explaining why these are all hate mongers and they 0:33:20.000 --> 0:33:23.840 are violators. Then I went through what's called chain of reasoning, 0:33:23.880 --> 0:33:27.560 which is looking at the AI, how it connected its 0:33:27.640 --> 0:33:31.400 data points and what source material it used. Guess what 0:33:31.640 --> 0:33:36.880 source material it used to determine that only Republicans or 0:33:37.000 --> 0:33:40.720 hate speech violators in the Senate and zero democrats. I 0:33:40.760 --> 0:33:42.520 went through the chain of reasoning and here's what it 0:33:42.560 --> 0:33:50.120 was using Human Rights Watch yeh GLAD GLAAD and the 0:33:50.160 --> 0:33:54.320 Southern Poverty Law Center SPLC and Wikipedia. 0:33:54.960 --> 0:33:59.680 So it appoints leftist referees. 0:33:59.200 --> 0:34:02.760 To determine what hate speech is and then it prosecutes 0:34:03.360 --> 0:34:06.160 without you know, with with impunity the rest of it. 0:34:06.520 --> 0:34:09.600 And so these systems are baked in at the at 0:34:09.600 --> 0:34:10.080 the at. 0:34:10.040 --> 0:34:12.200 The training level. So what are the solutions. 0:34:12.280 --> 0:34:15.960 Well, I think one is understanding what I'm saying, knowing 0:34:16.080 --> 0:34:18.399 how they're trained. The whole first chapter of code read 0:34:18.440 --> 0:34:22.200 I literally lay out so you understand how this all works, 0:34:22.239 --> 0:34:24.319 not in a you know, nuts and molts, but really 0:34:24.400 --> 0:34:28.600 understand the concept. Second, there are a couple of things 0:34:28.600 --> 0:34:31.200 that are being worked on as a you know, alternative 0:34:31.600 --> 0:34:37.080 Grockipedia instead of Wikipedia. Wikipedia, as you know, is extreme left. 0:34:37.440 --> 0:34:41.560 They lock conservative pages, as they've done to Breitbart in others, 0:34:41.920 --> 0:34:45.000 so that their leftist editors get to control the information 0:34:45.120 --> 0:34:49.239 and can't challenge anything. And so those kind of competitors 0:34:49.239 --> 0:34:51.960 do exist, But the real challenge is going to be 0:34:52.120 --> 0:34:55.360 how you can beat at scale a company like a 0:34:56.560 --> 0:34:59.960 you know, Google, that has every single data data profile 0:35:00.160 --> 0:35:02.600 on the planet, has an endless ocean of cash for 0:35:02.719 --> 0:35:07.680 marketing and advertising scale budget, and anytime a little competitor comes. 0:35:07.440 --> 0:35:09.560 Along can instantly try to cross someone. I'm not saying 0:35:09.560 --> 0:35:10.320 it can't happen. 0:35:11.280 --> 0:35:13.680 There is the third thing I think can be a 0:35:13.719 --> 0:35:16.040 part of the solution is something called little tech, not 0:35:16.160 --> 0:35:16.720 big tech. 0:35:16.800 --> 0:35:18.120 Little tech. What's little tech? 0:35:18.480 --> 0:35:22.600 Little tech is the startup community. And these young entrepreneurs, 0:35:22.600 --> 0:35:26.000 these are startup entrepreneurs. You might say, wow, how could 0:35:26.040 --> 0:35:28.720 you ever compete against these behemoths and something is cost 0:35:28.800 --> 0:35:33.759 intensive as AI, well you'd be surprised. The most recent example, 0:35:33.840 --> 0:35:36.960 which is an incredible one, is this thing called open claw, 0:35:37.600 --> 0:35:42.760 and open claw is revolutionary. Jensen Wong, the head of Nvidia, 0:35:42.800 --> 0:35:45.879 literally just a couple of days ago, said he thinks 0:35:45.920 --> 0:35:49.759 it is one of the most important technological advancements of 0:35:49.800 --> 0:35:55.319 his lifetime. Open Claw is a gentic AI real simple. 0:35:55.000 --> 0:35:57.960 And Jenny A, I definitely one of my vocabulary words 0:35:57.960 --> 0:35:58.920 I want people to understand. 0:35:58.920 --> 0:36:02.280 So give that before you continue. 0:36:03.040 --> 0:36:07.400 Yes, agentic AI or AI agent is taken from the 0:36:07.400 --> 0:36:11.120 word agency, as in you have efficacy or ability to 0:36:11.200 --> 0:36:13.440 do something, You have agency in the world, power to 0:36:13.440 --> 0:36:14.279 do something in the world. 0:36:14.520 --> 0:36:20.719 And so an AI agent is AI that actually performs work, right, 0:36:20.840 --> 0:36:23.240 not just a little chap. A lot of people think, oh. 0:36:23.360 --> 0:36:26.720 AI is just a chat, but that's actually not even 0:36:26.800 --> 0:36:30.280 really the biggest parts of AI by any stretch. I tell, 0:36:30.400 --> 0:36:32.319 let me give you an example that I use in code. 0:36:32.360 --> 0:36:32.600 Read. 0:36:33.000 --> 0:36:35.240 So imagine you and I want to start a sports 0:36:35.239 --> 0:36:37.960 supplement company for fitness supplements. 0:36:38.080 --> 0:36:40.720 Okay, an agent. 0:36:40.880 --> 0:36:42.560 By the way, we do. 0:36:43.520 --> 0:36:46.239 I love the gym, and I know you're as well 0:36:46.239 --> 0:36:48.640 an athlete, so so I think what we would do 0:36:48.800 --> 0:36:50.640 is we would tell the AI agent. We would say 0:36:50.680 --> 0:36:51.840 something like this, you say. 0:36:52.719 --> 0:36:58.759 Create a you know, creatine or protein powder company, end 0:36:58.800 --> 0:37:01.600 to end, and what it would start to do is 0:37:01.640 --> 0:37:05.359 the following. It would register the LLC, it would come 0:37:05.440 --> 0:37:07.680 up with a brand name, it would start to design 0:37:07.719 --> 0:37:08.240 the logo. 0:37:08.560 --> 0:37:10.200 It would then go build the website. 0:37:10.280 --> 0:37:12.719 It would open up a banking account, it would start 0:37:12.719 --> 0:37:16.040 a supply chain into end for drop shipping. It would 0:37:16.040 --> 0:37:19.440 figure out how Shopify credit card processing should be maked in, 0:37:20.040 --> 0:37:22.360 and it will do that automatically. 0:37:22.400 --> 0:37:25.080 So an agent or agentic AI, just think of it 0:37:25.120 --> 0:37:25.319 like this. 0:37:25.480 --> 0:37:30.400 It's a digital employee and one that never sleeps, doesn't complain, 0:37:31.000 --> 0:37:34.120 doesn't require a health and benefits package, and we'll never 0:37:34.239 --> 0:37:37.840 call some kind of embarrassing scandal or something, and we'll 0:37:38.120 --> 0:37:38.879 never get sick. 0:37:39.239 --> 0:37:41.400 And that agentic AI. 0:37:41.840 --> 0:37:45.799 That is why you hear these job apocalypse types of predictions. 0:37:45.800 --> 0:37:51.040 So Openclaw was started by one person and what he 0:37:51.120 --> 0:37:55.120 did was he built that agentic AI agent, and he 0:37:55.200 --> 0:37:59.120 connected it to things like Telegram or slack messenger. 0:37:59.600 --> 0:38:01.239 And all you have to. 0:38:01.200 --> 0:38:03.759 Do is pick up your phone or type if you'd like, 0:38:04.239 --> 0:38:08.120 and tell your digital employee or AI agent what you 0:38:08.160 --> 0:38:10.400 want done, and then you can go play golf or 0:38:10.480 --> 0:38:12.759 go you know, garden, or go to the gym, or 0:38:12.800 --> 0:38:15.960 go to bed, and you wake up and that agent 0:38:16.120 --> 0:38:17.840 is doing that work in real time. 0:38:18.000 --> 0:38:21.000 And so you're saying, we just got to get the digit, 0:38:21.040 --> 0:38:24.799 the virtual of the visual avatar going and then all 0:38:24.800 --> 0:38:26.680 of those Zoom calls we all have to be on 0:38:26.800 --> 0:38:28.560 where we just sit there for two hours and then 0:38:28.600 --> 0:38:31.120 say nothing on my end at the very end, like 0:38:31.160 --> 0:38:31.600 we can. 0:38:31.520 --> 0:38:33.560 Just have just have our AI do that. 0:38:33.560 --> 0:38:36.239 That sounds great, Well, you know you're making a joke. 0:38:36.320 --> 0:38:39.399 Guess what the head of Zoom that owns Zoom said, 0:38:39.400 --> 0:38:41.759 that's literally what he wants. He wants you to have 0:38:41.920 --> 0:38:45.520 AI avatars take the meetings and that they're going to 0:38:45.560 --> 0:38:46.200 work towards that. 0:38:46.640 --> 0:38:49.680 The other thing about AI agents of why people are 0:38:49.719 --> 0:38:52.719 making these very bold predictions, and these are people that 0:38:52.800 --> 0:38:54.760 are very rich and very connected. 0:38:56.040 --> 0:39:01.440 You can scale a h and tick AI workforce workforce to. 0:39:01.920 --> 0:39:05.839 Thousands of digital employees, and so what people are doing 0:39:05.920 --> 0:39:07.799 right now, this is already happening. This is not like 0:39:07.840 --> 0:39:09.960 some sci fi thing in the future. This is going 0:39:09.960 --> 0:39:12.200 on right now. This is why I open Claw, which 0:39:12.280 --> 0:39:15.400 just bought by Open Eye, is a very, very big play. 0:39:16.280 --> 0:39:18.960 They're saying, Okay, I'm going to create an AI agent 0:39:19.040 --> 0:39:22.160 that is an expert in search engine optimization SEO. 0:39:22.400 --> 0:39:24.239 I'm going to make one that's a marketer. I'm going 0:39:24.320 --> 0:39:26.960 to make one an advertiser AI agent. 0:39:27.080 --> 0:39:30.600 I'm going to have one that understands chief technology officer 0:39:30.760 --> 0:39:34.040 or operations. And I'm going to have my own little 0:39:34.320 --> 0:39:37.319 team or large team if you want, of agents, and 0:39:37.360 --> 0:39:40.200 they're working twenty four to seven and doing all of 0:39:40.239 --> 0:39:44.440 this work. And these are called agent swarms, like a 0:39:44.520 --> 0:39:47.960 bee swarm. Agent swarms that are doing all of this. Now, 0:39:48.000 --> 0:39:51.200 on the upside, if you're a young entrepreneur and you 0:39:51.320 --> 0:39:53.440 got fire in the belly and a big dream and 0:39:53.480 --> 0:39:55.960 you don't have a lot of capital, boy, or you 0:39:56.040 --> 0:39:59.720 on a rocket ship, if you start to take agentic AI, 0:40:00.200 --> 0:40:02.480 because now that little kid who has a big. 0:40:02.440 --> 0:40:05.359 Dream, or a person who retired and says, man, I've 0:40:05.360 --> 0:40:07.480 always wanted to live my entrepreneurial. 0:40:06.960 --> 0:40:11.120 Dream, they have an incredible power that they have in 0:40:11.120 --> 0:40:14.480 this superpower that they've never had before. On the other hand, 0:40:14.960 --> 0:40:18.760 if you're a mid level you know, career professional or 0:40:19.600 --> 0:40:22.640 trying to go into the traditional workforce at an entry level. 0:40:23.160 --> 0:40:25.759 This is why we hear Dario Amide say that in 0:40:25.840 --> 0:40:29.239 the next twelve months Alex, not in the twelve years, 0:40:29.239 --> 0:40:30.440 twelve months from. 0:40:31.320 --> 0:40:32.200 Just last month. 0:40:32.239 --> 0:40:36.239 He says, we're going to see potentially the erosion of 0:40:36.360 --> 0:40:39.399 fifty percent of entry level white color jobs. Now why 0:40:39.480 --> 0:40:42.279 is he saying that it's agentic AI? He's talking about 0:40:42.280 --> 0:40:47.280 AI agents that can do that beginning level, non pro level, 0:40:47.320 --> 0:40:49.720 expert level that requires a lot of human judgment. 0:40:50.120 --> 0:40:52.560 And this is scary. A if you're a parent and. 0:40:52.560 --> 0:40:54.080 You've got a kid coming out of college with one 0:40:54.160 --> 0:40:56.359 hundred and fifty grand in debt or more or less, 0:40:56.400 --> 0:40:59.640 you know roughly what fifty percent job wipe out for 0:40:59.800 --> 0:41:01.000 entry level two? 0:41:01.239 --> 0:41:03.040 What's going to be in the next generation. 0:41:03.200 --> 0:41:06.240 How are we going to get experts and senior management 0:41:06.320 --> 0:41:08.880 If if they can't get the first rung of the ladder, 0:41:08.920 --> 0:41:09.720 how are they going to aggress? 0:41:10.960 --> 0:41:12.880 So this is where and this is what I've had 0:41:12.920 --> 0:41:15.640 personal experience with this, and I've shared this on the show, 0:41:15.680 --> 0:41:20.560 but I don't think recently. So the my of my books, 0:41:20.760 --> 0:41:22.799 so my second book, Breaking Biden, I'm kind of doing 0:41:22.800 --> 0:41:23.680 presidential history. 0:41:24.160 --> 0:41:25.880 So it takes a lot of research. 0:41:25.920 --> 0:41:29.000 So I think I had four, maybe five researchers on 0:41:29.040 --> 0:41:32.960 that book, all people that I met through Peter and 0:41:33.040 --> 0:41:34.920 Gai and great work they do, and so it was 0:41:34.960 --> 0:41:37.239 all part time. Wasn't full time people, but there was 0:41:37.400 --> 0:41:39.439 quite a bit of work. All them had real work 0:41:39.480 --> 0:41:42.520 to do to get the book done. And for breaking 0:41:42.560 --> 0:41:45.560 the law, I had one researcher. So the reason why 0:41:45.760 --> 0:41:48.720 is because a lot of the easy questions that normally 0:41:48.719 --> 0:41:51.640 I would have to get to a junior researcher who 0:41:51.800 --> 0:41:53.440 would then spend a couple of days on it and 0:41:53.520 --> 0:41:55.759 then get back a summary to me. I would get 0:41:55.760 --> 0:41:59.600 a pretty decent facsimile of what I needed from AI already. 0:41:59.640 --> 0:42:01.520 And this is you know, we're talking two years ago, 0:42:01.960 --> 0:42:06.160 and just so we're way better now than it would 0:42:06.160 --> 0:42:07.800 be now. If I did the same task now, I 0:42:07.800 --> 0:42:10.680 would get better results in a less amount of time. 0:42:11.080 --> 0:42:14.000 And so that just meant that I only needed one 0:42:14.120 --> 0:42:16.520 sort of senior level researcher as opposed to a senior 0:42:16.600 --> 0:42:19.000 level and then like five junior level. But how does 0:42:19.000 --> 0:42:22.760 the senior level researcher exist. He's not going to exist 0:42:22.800 --> 0:42:25.480 because they'll never have been a junior level one to 0:42:25.800 --> 0:42:28.560 work up to becoming a senior level researcher who actually 0:42:28.600 --> 0:42:30.960 does do the human tasts that I need to sort 0:42:31.000 --> 0:42:33.960 of hone down what I needed. And that's a very 0:42:34.000 --> 0:42:36.560 scary prospect in the white collar job market, is the 0:42:36.719 --> 0:42:38.719 entry level jobs are going to be the ones that 0:42:38.760 --> 0:42:41.279 are they're already going. I'm not saying they're gonna go, 0:42:41.400 --> 0:42:43.040 they're going now they're leaving. 0:42:44.200 --> 0:42:46.759 Yeah, it's a hollowing out effect. I mean, you had 0:42:46.800 --> 0:42:49.200 great mentors. I had great mentors. In fact, I was 0:42:49.239 --> 0:42:52.200 on with Larry Elder, one of your mentors. Obviously you 0:42:52.239 --> 0:42:55.680 had the ultimate mentor and Andrew our founder Brake part. 0:42:56.560 --> 0:42:59.720 But it's really scary when you think about that, I mean, how. 0:42:59.600 --> 0:43:02.520 Do you learn? How do young people learn? We have 0:43:02.640 --> 0:43:03.200 to have. 0:43:03.280 --> 0:43:06.040 Older experienced people who will teach us and show us 0:43:06.080 --> 0:43:08.680 and help to learn. And we stand on the giants 0:43:08.680 --> 0:43:10.919 of the people that came before us, and we hope 0:43:10.960 --> 0:43:14.719 to learn that this entry level lower rung of the 0:43:14.920 --> 0:43:18.160 of the career ladder, once you saw off the first 0:43:18.320 --> 0:43:21.000 or second rung of that, that does have a hollowing 0:43:21.040 --> 0:43:23.640 out of fact. Now you know, I guess you could 0:43:23.680 --> 0:43:26.320 make the argument that that young person is going to 0:43:26.360 --> 0:43:28.560 have to turn to AI to become their mentor, right. 0:43:28.560 --> 0:43:30.719 They're gonna have to They're gonna have to be self taught. 0:43:30.719 --> 0:43:32.520 And one of the things that I really stress to 0:43:32.560 --> 0:43:34.840 people is, I think the future of jobs is not 0:43:35.000 --> 0:43:38.640 learning how to apply to jobs, but to how to 0:43:38.880 --> 0:43:41.000 create your own job. I think, if we're going to 0:43:41.080 --> 0:43:43.560 have any motes here for this next generation, if you've 0:43:43.560 --> 0:43:44.280 got kids. 0:43:44.040 --> 0:43:46.320 In middle school, high school, even college. 0:43:46.400 --> 0:43:49.600 Now, you know, if you're a freshman in college in 0:43:49.640 --> 0:43:52.719 a four year maturation span, I mean, it's going to 0:43:52.760 --> 0:43:54.440 be light years different. 0:43:54.800 --> 0:43:57.640 Just think of what has happened in the world already. 0:43:58.040 --> 0:44:01.440 Chatch ept came in November of twenty twenty two. I mean, 0:44:01.800 --> 0:44:03.640 this isn't like it's been with us for a long 0:44:04.040 --> 0:44:07.960 long time. And so this is moving so fast, and 0:44:08.680 --> 0:44:11.640 you've got to get your foot in the stream, because again, 0:44:11.640 --> 0:44:13.480 you don't get to opt out of this thing. You know, 0:44:13.560 --> 0:44:17.040 it's not a choice. You're already using AI, whether you 0:44:17.080 --> 0:44:18.960 realize it or not. And I think we have to 0:44:19.160 --> 0:44:21.520 really understand it both on the personal level, which is 0:44:21.560 --> 0:44:22.040 what we're. 0:44:21.840 --> 0:44:24.360 Talking about for our kids and our families and our careers, 0:44:24.640 --> 0:44:28.280 and then obviously on the societal and political level as well. 0:44:28.640 --> 0:44:30.800 But this is why they're saying that. I'll give you 0:44:30.800 --> 0:44:35.640 another one. Mustafa Sulima on Microsoft's AI CEO, and he 0:44:35.840 --> 0:44:41.279 says twelve to eighteen months until all white color tasks 0:44:41.480 --> 0:44:43.839 can be automated. Now, just to be clear, that isn't 0:44:43.880 --> 0:44:46.719 he's not saying that all jobs will be gone in 0:44:46.760 --> 0:44:49.560 twelve to eighteen months. What he's saying is the tasks 0:44:49.600 --> 0:44:52.759 that white collar professionals do will have the ability to 0:44:52.800 --> 0:44:56.040 be automated. Now, will they take a while for businesses 0:44:56.040 --> 0:45:00.239 to implement that and to you know, train models to 0:45:00.280 --> 0:45:00.839 do it to. 0:45:00.840 --> 0:45:02.040 Their customized data. 0:45:02.480 --> 0:45:08.480 Yes, But once that train starts rolling, what happens Investors say, well, 0:45:08.680 --> 0:45:11.600 our competitors are doing it, and we better start doing it, 0:45:11.640 --> 0:45:13.719 and we start cutting costs, and then you get in 0:45:13.760 --> 0:45:16.200 a race to the bottom on cost cutting and so 0:45:16.200 --> 0:45:19.200 so this can start to accelerate very very quickly, and 0:45:19.239 --> 0:45:22.000 you get a vertical you know, take off and and 0:45:21.840 --> 0:45:24.360 and start to get to you know, break you know, 0:45:24.840 --> 0:45:28.879 hypervelocity speeds. And I think that's going to be where 0:45:28.920 --> 0:45:30.400 we're going to have to really see whether or not 0:45:30.440 --> 0:45:32.759 these these points come true. The other final thing I'll 0:45:32.800 --> 0:45:34.560 just say on this you know President Trump and Vice 0:45:34.600 --> 0:45:39.240 President Vance, they don't want that. They are a pro worker, Okay, 0:45:39.480 --> 0:45:41.200 they are pro American worker. 0:45:41.800 --> 0:45:45.040 What happens in the future if and when a. 0:45:45.080 --> 0:45:50.000 Democratic president that wants a dependency state, that wants you 0:45:50.120 --> 0:45:55.000 be I, that wants to expand welfare. Uh and and 0:45:55.080 --> 0:45:58.600 to make that sort of the default great reset economically 0:45:58.960 --> 0:46:01.400 and thinks of you BI is a good thing because 0:46:01.440 --> 0:46:06.120 it's towards socialism. So again, the pendulum swings are gonna 0:46:06.120 --> 0:46:07.520 get wild in this era. 0:46:08.080 --> 0:46:08.759 Yeah it is. 0:46:08.840 --> 0:46:12.560 And let's take on UBI next and where things could 0:46:12.560 --> 0:46:15.919 go if the job market is wiped out by AI, 0:46:16.040 --> 0:46:18.360 which is already already seeing evidence that this is starting 0:46:18.480 --> 0:46:21.919 to take place. But the last sort of just establishing 0:46:22.120 --> 0:46:24.440 detailed I think people should get Winton and then then 0:46:24.640 --> 0:46:25.919 then we'll take a little break and come. 0:46:25.800 --> 0:46:26.920 Back to some UBI stuff. 0:46:28.320 --> 0:46:31.839 The understanding open source AI versus a closed system AI. 0:46:32.040 --> 0:46:34.480 Most of the AI that we I. 0:46:34.440 --> 0:46:39.839 Think used today is from closed systems, but China's top 0:46:39.880 --> 0:46:41.200 AI model is open. 0:46:41.719 --> 0:46:42.600 We've got some. 0:46:42.640 --> 0:46:45.600 Developing open system I know this company called Reflection, which 0:46:45.600 --> 0:46:49.200 I think is somewhat affiliated with the President, I think 0:46:49.200 --> 0:46:51.719 has got some is rooting for it. They just cut 0:46:51.760 --> 0:46:54.919 a big deal with the big South Korean marketing, the 0:46:54.960 --> 0:47:00.080 South Korean retailer conglomerate. So there's some open models that 0:47:00.120 --> 0:47:02.800 are out there, but overall we're more dependent on some 0:47:02.840 --> 0:47:05.160 of the closed models give me some strengths and weaknesses, 0:47:05.200 --> 0:47:06.520 and we're trying to fits into this too. 0:47:07.200 --> 0:47:08.439 So it's a great question. 0:47:08.480 --> 0:47:11.800 So historically Silicon Valley, one of the its claims to 0:47:11.880 --> 0:47:15.040 fame has been open source is what allows the proliferation 0:47:15.360 --> 0:47:17.520 real simple for those that may not be is from 0:47:17.560 --> 0:47:20.680 an open source just simply means that your code is 0:47:20.719 --> 0:47:24.120 available to be customized and taken for within you know, 0:47:24.160 --> 0:47:27.319 within the parameters that it's built to be used by 0:47:27.440 --> 0:47:30.440 others so that you can build on top of code. 0:47:30.719 --> 0:47:33.600 And that has been sort of a heartbeat of Silicon 0:47:33.680 --> 0:47:38.440 Valley is open source philosophy and availability. Now with AI, 0:47:39.239 --> 0:47:42.600 there are what are called open weight, which is which 0:47:42.640 --> 0:47:45.520 is different. This is the weight is the amount of 0:47:45.840 --> 0:47:50.759 connectivity between the nodes inside of a neural network. There 0:47:50.800 --> 0:47:54.160 are some open weight models and Lama for example, which 0:47:54.200 --> 0:47:58.239 is owned by Meta, but the full open source that 0:47:58.280 --> 0:48:01.640 we traditionally would think by a American companies has really 0:48:01.680 --> 0:48:04.640 not come into the four yet there's a big debate 0:48:04.680 --> 0:48:07.600 about that. Why is there a debate? Well, because of 0:48:07.640 --> 0:48:10.399 the security risks. I mean, once you give something as 0:48:10.520 --> 0:48:15.920 powerful as AI and you allow anyone the democratization of it, 0:48:15.960 --> 0:48:18.920 anyone to start building and you kind of lose control 0:48:19.000 --> 0:48:19.359 of what. 0:48:19.280 --> 0:48:20.359 They decide to do with it. 0:48:20.640 --> 0:48:23.320 The question he coms, could they use that toward evil 0:48:23.400 --> 0:48:26.120 ends like a nonstate actor otherwise know as a terrorist 0:48:26.239 --> 0:48:29.200 organization and say, Okay, now I'm going to use this 0:48:29.360 --> 0:48:32.960 open source and I'm going to customize it for chemical 0:48:33.000 --> 0:48:36.479 weapon creation or you know, bio attacks and so forth 0:48:36.520 --> 0:48:39.239 and so on or other kind of uh nefarious use 0:48:39.680 --> 0:48:45.120 all but Deep seek and China, they ironically are going 0:48:45.200 --> 0:48:45.880 open source. 0:48:46.920 --> 0:48:50.520 China's biggest AI is that we call that LLLM. 0:48:50.680 --> 0:48:51.680 Is that what? Yes? 0:48:52.000 --> 0:48:53.120 Yes, that is an LLM. 0:48:53.280 --> 0:48:56.160 Okay and Angelia, it's open source and this is China's 0:48:56.239 --> 0:48:58.520 China's biggest prized AI. 0:48:59.400 --> 0:49:02.040 Now why do they want that? It is a massive 0:49:02.160 --> 0:49:06.920 data vacuum. Inside the terms of service which I talk about, 0:49:06.920 --> 0:49:09.720 and I go through all this in real clear detail 0:49:09.800 --> 0:49:14.280 inside of the China chapter in code read, they literally 0:49:15.040 --> 0:49:18.560 say two things that should horrify all people watching this. 0:49:19.440 --> 0:49:20.880 In all Americans number one. 0:49:20.840 --> 0:49:25.920 They say, oh yeah, By the way, all of your 0:49:26.000 --> 0:49:28.799 data that you give us will be. 0:49:28.719 --> 0:49:30.720 Stored in servers in China. 0:49:31.160 --> 0:49:35.680 Now, all companies, all citizens of China are under a 0:49:36.480 --> 0:49:41.600 law that you must comply and hand over material if 0:49:41.640 --> 0:49:42.720 it is deemed. 0:49:42.400 --> 0:49:43.840 Necessary by the CCP. 0:49:44.120 --> 0:49:47.319 Okay, the second thing will it tells you is that 0:49:47.480 --> 0:49:50.040 it will even pick up your keystroke rhythm. 0:49:50.080 --> 0:49:53.560 Now, you might say, well, why do would I care how. 0:49:53.440 --> 0:49:56.160 I type on my phone when I'm texting or I'm 0:49:56.200 --> 0:49:58.359 asking my chatbot what I want. 0:49:59.200 --> 0:50:02.239 Experts will tell tell you that your keystroke rhythm. 0:50:02.520 --> 0:50:07.040 Is more particular and as particular as your human fingerprint 0:50:07.040 --> 0:50:08.160 as an identification. 0:50:08.760 --> 0:50:11.279 That means that you won't need to. 0:50:11.239 --> 0:50:15.480 Know someone tacking their password if you have back end access, 0:50:15.600 --> 0:50:19.319 a backdoor access to that LLM by the CCP, they 0:50:19.360 --> 0:50:21.400 don't even need to know your username. They already know 0:50:21.520 --> 0:50:26.560 that that typing rhythm connects to know Alex Marlow, who 0:50:26.600 --> 0:50:28.719 he is, what his position is, and so forth, and 0:50:28.760 --> 0:50:31.480 you can follow them around if they are on your platform. 0:50:31.600 --> 0:50:35.080 So the irony of ironies silicon value is made on 0:50:35.160 --> 0:50:38.600 open source deep Sik says wait a minute, and China says, 0:50:38.600 --> 0:50:42.279 wait a minute. We can spread our AI to be 0:50:42.360 --> 0:50:45.800 not only used more dominantly and get more economic benefit, 0:50:45.960 --> 0:50:48.120 we can also get a two fer. We can get 0:50:48.120 --> 0:50:51.600 a data vacuum to suck up and do data profiles 0:50:51.680 --> 0:50:55.960 and surveill whoever uses this technology. This is why we're 0:50:56.000 --> 0:50:58.880 in this code red moment because so much is changing 0:50:58.920 --> 0:51:01.520 so fast, and if you don't don't know these things, 0:51:01.719 --> 0:51:05.240 you may unwittingly think you're just using a free model 0:51:05.600 --> 0:51:09.000 of something, and you actually are really really at risk 0:51:09.400 --> 0:51:11.040 for data and privacy. 0:51:11.160 --> 0:51:13.759 All right, a brief break here with when we come back, 0:51:13.800 --> 0:51:15.239 we're going to get int the UBI, We're to get 0:51:15.239 --> 0:51:17.040 into sex spots, We're getting the singularity. 0:51:17.080 --> 0:51:18.120 There's a ton more to do. 0:51:18.440 --> 0:51:19.600 I don't know they were going to get all in 0:51:19.600 --> 0:51:22.759 on this podcast, but we're going to keep going. But 0:51:23.160 --> 0:51:25.560 let's hear from some sponsors. Give Winton a chance to 0:51:25.760 --> 0:51:28.040 catch a breather. All that good stuff will be right 0:51:28.080 --> 0:51:28.759 back with Winden Hall. 0:51:28.800 --> 0:51:30.279 The book is Code Read go buy it right now. 0:51:30.320 --> 0:51:32.680 A lot of people ask me, Alex, can you still 0:51:32.760 --> 0:51:35.240 trust the institutions that hold your money? 0:51:35.640 --> 0:51:37.840 We talk about de banking all the time on the show. 0:51:38.480 --> 0:51:42.960 People and organizations quietly losing access to financial services simply 0:51:43.000 --> 0:51:44.640 because of who they are or what they believe. 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When 0:52:30.760 --> 0:52:33.200 you open a three sixteen Financial account and maintain an 0:52:33.200 --> 0:52:37.240 average balance of five thousand dollars for ninety days, they'll 0:52:37.280 --> 0:52:41.480 add two hundred and fifty dollars to your account. You 0:52:41.520 --> 0:52:44.319 can learn more and see full offer details at Bank 0:52:44.360 --> 0:52:47.640 three sixteen dot com slash Marlow and be sure to 0:52:47.719 --> 0:52:50.480 use the promo code Marlow when you open your account. 0:52:50.640 --> 0:52:53.400 Banking services are provided by three sixteen Financial, a division 0:52:53.400 --> 0:52:56.640 of Premise Bank member FDIC. Okay Wintin, So I want 0:52:56.680 --> 0:53:02.240 to talk about the devastation potential for jobs due to AI. 0:53:02.360 --> 0:53:05.720 We were told for years to learn to code. Now 0:53:05.880 --> 0:53:07.319 no one's going to be coding. The AI is going 0:53:07.400 --> 0:53:10.040 to be coding for us. And just the idea of 0:53:10.080 --> 0:53:14.440 just writing granular character by character code is just that's 0:53:14.480 --> 0:53:15.040 going to be gone. 0:53:15.120 --> 0:53:17.279 It's just all going to be stuff that AI going 0:53:17.320 --> 0:53:17.920 to fuel all that. 0:53:18.000 --> 0:53:20.440 So everything we've been told about where we would be 0:53:20.480 --> 0:53:26.000 at economically in terms of just the general jobs market, 0:53:26.600 --> 0:53:27.479 throw all that out. 0:53:27.680 --> 0:53:29.520 So where does that leave us? 0:53:29.520 --> 0:53:33.719 And I want to talk about in super macro, But 0:53:33.719 --> 0:53:35.160 then I want to talk about some careers that you 0:53:35.200 --> 0:53:37.880 feel like could benefit from AI and something that you 0:53:37.960 --> 0:53:40.560 feel like really it's the you got to start thinking 0:53:40.560 --> 0:53:42.680 about pivoting if you're in this line of work as 0:53:42.680 --> 0:53:43.120 of now. 0:53:43.320 --> 0:53:44.680 But let's start in general. 0:53:45.160 --> 0:53:48.239 The biggest fear is that we're going to see extreme 0:53:48.360 --> 0:53:52.440 levels of job loss. It'll be an epidemic level event. 0:53:53.840 --> 0:53:55.280 Yeah, this is so important. 0:53:55.760 --> 0:53:59.000 I go into great depth explaining this, you know, frame 0:53:59.040 --> 0:54:02.680 by frame. So remember a few years ago when the 0:54:02.840 --> 0:54:06.320 snooty set in Silicon Valley, when all the coal miners 0:54:06.360 --> 0:54:10.279 started losing their jobs, started saying, you know, learn the code, right, 0:54:10.360 --> 0:54:13.719 remember that, and you know all of the to the 0:54:13.920 --> 0:54:16.720 HVAC and the electricians. Now the electricians and the HVAC 0:54:16.760 --> 0:54:19.440 guys and the coal miners said, you know, learn to 0:54:19.520 --> 0:54:23.040 plumb or learn to do electricity. It is a role 0:54:23.080 --> 0:54:26.760 reversal coming and let's really get into it and understand 0:54:26.840 --> 0:54:29.600 it from all the different angles. Number One, what are 0:54:29.640 --> 0:54:31.680 people saying? Number One, Elon. 0:54:31.480 --> 0:54:33.800 Musk says that AI is a quote. 0:54:33.440 --> 0:54:39.600 Supersonic tsunami headed toward humanity. Number two, Dario Amide at 0:54:39.640 --> 0:54:43.919 Anthropics says that in the next twelve months, we're looking 0:54:43.960 --> 0:54:47.080 at fifty percent job replacement of those white collar workers 0:54:47.160 --> 0:54:47.840 we were talking. 0:54:47.680 --> 0:54:48.680 About that entry level. 0:54:49.160 --> 0:54:52.280 Also again the Microsoft Suliman twelve to eighteen months. 0:54:52.360 --> 0:54:52.640 Now. 0:54:53.680 --> 0:54:57.239 One thing people sometimes say is look, Winton, I mean, 0:54:57.719 --> 0:55:01.560 I'm a free market capitalist person saying, yes, the market 0:55:01.640 --> 0:55:06.080 will work it out. You know, it always replaces the jobs. 0:55:06.360 --> 0:55:09.200 It makes new jobs to replace those that were lost. 0:55:09.320 --> 0:55:13.759 We saw that with you know, light bulbs, after candles. 0:55:13.840 --> 0:55:17.680 We saw that with cars after you know, horse and buggy. 0:55:17.800 --> 0:55:22.040 Here's why AI is different and why the technologists say 0:55:22.080 --> 0:55:24.080 that this could be the first time, and it would 0:55:24.120 --> 0:55:27.480 be the first time that technology destroyed more jobs than 0:55:27.520 --> 0:55:31.880 it created because those early jobs you were talking about 0:55:32.080 --> 0:55:36.440 scaling the moving of atoms in other words, manual labor, 0:55:36.480 --> 0:55:39.839 physical labor, and things of that sort. Now what you're 0:55:39.880 --> 0:55:46.720 talking about is scaling cognition itself. And so Mostafa Suliman says, yes, 0:55:46.840 --> 0:55:50.319 there will be new jobs created by AI, but it 0:55:50.360 --> 0:55:52.399 is not at all clear that they will be done 0:55:52.440 --> 0:55:56.320 by humans. Those two could potentially be done by AI. 0:55:56.680 --> 0:56:00.120 So the question becomes, what are we looking at and 0:56:00.160 --> 0:56:02.759 how fast is it going to move? I think there 0:56:03.160 --> 0:56:06.360 are three pressure points. One is the federal regulatory schema. 0:56:06.480 --> 0:56:09.040 President Trump is very much a pro worker, you know, 0:56:09.160 --> 0:56:13.160 make America great again, pro worker president, and he doesn't 0:56:13.160 --> 0:56:15.760 want to accelerate or hasten the job destruction. 0:56:15.880 --> 0:56:17.839 He's certainly not trying to transition us. 0:56:17.800 --> 0:56:22.239 Toward a host labor or host capitalist economy or a 0:56:22.320 --> 0:56:26.920 great global reset economically, but others could. And so the 0:56:27.040 --> 0:56:29.160 question people have is how far is if there's a 0:56:29.160 --> 0:56:31.400 supersonic tsunami off the shore. 0:56:31.560 --> 0:56:33.080 I'm a Florida boy, so I go to the beach 0:56:33.120 --> 0:56:35.280 all the time. And I know you're a California boy, 0:56:35.120 --> 0:56:36.399 so you like the water too. 0:56:36.520 --> 0:56:38.359 You know, if we see a tsunami, the first thing 0:56:38.400 --> 0:56:40.080 we would say is how far is it? 0:56:40.239 --> 0:56:41.880 How fast is it going to get here? And what 0:56:41.880 --> 0:56:42.840 should I do to prepare? 0:56:43.280 --> 0:56:46.239 So the things that could slow that tsunami, if you 0:56:46.320 --> 0:56:49.440 believe it's coming, are the things that a president and 0:56:49.480 --> 0:56:53.239 that leadership can do. Number Two, there are going to 0:56:53.440 --> 0:56:58.520 be accelerators, like we discussed the agentic piece, and new 0:56:58.560 --> 0:57:03.319 technological innovations are going to accelerate that. And I think 0:57:03.320 --> 0:57:06.040 it will only accelerate that. The worst version of AI 0:57:06.160 --> 0:57:08.319 is the one you used today. And you know we 0:57:08.320 --> 0:57:11.040 were on iPhone seventeen. I mean I remember like a 0:57:11.120 --> 0:57:14.960 dinosaur to get iPhone one, so that it's going to 0:57:14.960 --> 0:57:18.240 be an exponential increase. The third thing I would say 0:57:18.400 --> 0:57:22.680 is that yes, the jobs you choose certainly can have 0:57:23.000 --> 0:57:26.720 an enormous impact. And there I think the motes are clear, right. 0:57:27.680 --> 0:57:30.440 I think Republicans and conservatives have long said, you know, 0:57:30.480 --> 0:57:33.200 blue collar work is honorable good work and. 0:57:33.400 --> 0:57:35.080 The trades trade schools. 0:57:35.200 --> 0:57:37.800 Look, not everybody's you know, supposed to go and be 0:57:38.200 --> 0:57:39.080 you know, a PhD. 0:57:39.680 --> 0:57:42.200 And we know that you know, Charlie and many others. 0:57:42.200 --> 0:57:45.360 In fact, Peter Thiel pays now a grant for kids 0:57:45.440 --> 0:57:46.920 not to go to college and go. 0:57:46.920 --> 0:57:50.560 Straight into entrepreneurship. So I think that's going to really 0:57:50.560 --> 0:57:51.040 be the future. 0:57:51.040 --> 0:57:52.840 As we were talking about, I think it's created. The 0:57:52.880 --> 0:57:55.960 future is creating your job, not just learning how to 0:57:56.120 --> 0:57:58.360 you know, apply to be a worker bee. And I 0:57:58.400 --> 0:58:01.360 think that for younger people and people that are really 0:58:01.440 --> 0:58:03.920 creative will have a real passion, this is going to 0:58:03.920 --> 0:58:05.560 be your moment. Well, I'll tell you we're going to 0:58:05.600 --> 0:58:09.520 see more millionaires minted at younger and younger ages than 0:58:09.520 --> 0:58:13.000 we've ever seen before. So that is the hopeful side. 0:58:13.040 --> 0:58:15.040 I think the other thing too, as it relates to that, 0:58:15.240 --> 0:58:19.439 is there is a Sam Altman has a private betting pool. 0:58:19.520 --> 0:58:21.440 This is this is by his own admission, they have 0:58:21.480 --> 0:58:24.720 a private little bet going among his billionaire cottery of 0:58:24.880 --> 0:58:28.040 you know AI genius guys, and their bet is who 0:58:28.120 --> 0:58:31.480 will become how fast will we see a one person 0:58:32.120 --> 0:58:35.000 billion dollar valuation corporation. 0:58:34.800 --> 0:58:35.680 Because of AI? 0:58:36.000 --> 0:58:38.840 Because again, you can build out a digital workforce with 0:58:39.000 --> 0:58:42.760 agents and so forth. So there's so much to consider, 0:58:42.920 --> 0:58:45.320 and I think that you know, people that are sort 0:58:45.320 --> 0:58:47.400 of head into a retirement, they go, look, I'll be 0:58:47.440 --> 0:58:50.080 able to ride the wave out with my network effects 0:58:50.120 --> 0:58:52.320 and you know, my connections, and I'll be able to 0:58:52.640 --> 0:58:54.959 do that for a while. But it's really it's really 0:58:55.000 --> 0:58:57.080 for their kids and grandkids that are really worried about. 0:58:57.080 --> 0:58:58.640 And that's why in code Red, I really try to 0:58:58.720 --> 0:59:01.760 explain all of this so that you understand how the 0:59:01.800 --> 0:59:04.000 fault lines are going to move, so that you can 0:59:04.360 --> 0:59:05.240 navigate through them. 0:59:06.560 --> 0:59:09.120 Very interesting, and so I want to talk about some 0:59:09.240 --> 0:59:12.560 of the predictions Bill Gates predicts sort of we're heading 0:59:12.600 --> 0:59:16.240 towards a two or three day work week. It's a 0:59:16.400 --> 0:59:18.400 we're going to have a real crisis of purpose here 0:59:18.560 --> 0:59:20.959 when and if that's the case in people's lives, because 0:59:20.960 --> 0:59:25.320 if the AI does stuff, then it's are we just 0:59:25.360 --> 0:59:27.840 going to do abundance and leisure or are we going 0:59:27.920 --> 0:59:30.920 to do reels? Are we just going to do doom 0:59:30.920 --> 0:59:34.880 scrolling because we're addicted to our smartphones and not actually 0:59:34.880 --> 0:59:37.440 do stuff that's productive. And so I'm starting to wonder 0:59:37.480 --> 0:59:40.360 about this, So talk to me about what do you 0:59:40.400 --> 0:59:44.640 feel like our best worst case scenarios for the age 0:59:44.640 --> 0:59:47.160 of AI where a lot of our tasks that we 0:59:47.240 --> 0:59:50.040 do for work are just going to be automized. 0:59:50.800 --> 0:59:51.560 So I think. 0:59:51.480 --> 0:59:54.160 Before we talk about that, there's one important point that 0:59:54.200 --> 0:59:57.080 I think conservatives need to settle on, and I really 0:59:57.160 --> 0:59:59.960 just try to show this information President Trump. 1:00:00.080 --> 1:00:02.000 In the AI. 1:00:02.000 --> 1:00:05.720 Cizar for the Trump Administration, David Sachs, they are very 1:00:05.800 --> 1:00:09.160 very strong that they believe all of this doom and 1:00:09.240 --> 1:00:13.600 fear around on AI apocalypse and an AI jobs quake, 1:00:13.680 --> 1:00:17.480 and all of this is being fomented by something. 1:00:17.160 --> 1:00:20.840 Called the Effective Altruist Movement, the EA movement. 1:00:20.920 --> 1:00:27.800 This is a very very vast, well funded philosophical, philanthropic group. 1:00:28.200 --> 1:00:31.000 They are very much on the left side politically. 1:00:31.040 --> 1:00:32.080 These are billionaires. 1:00:32.120 --> 1:00:36.080 Sam Bankman Freed was one of the sort of figureheads 1:00:36.120 --> 1:00:39.600 of this. Dustin Moskovitz, the co founder of Facebook, who 1:00:39.640 --> 1:00:42.440 has given hundreds of millions of dollars to democratic and 1:00:42.520 --> 1:00:45.480 left wing causes, is part of this. And they have 1:00:45.640 --> 1:00:49.840 this hydra headed you know, industrial complex is the way 1:00:49.880 --> 1:00:52.800 that David Sachs likes to present it, and he says 1:00:52.880 --> 1:00:55.880 all of these nonprofits. Their whole goal is to scare 1:00:55.920 --> 1:00:59.680 the be Jesus out of everyday people that AI is 1:00:59.720 --> 1:01:00.640 coming to get you. 1:01:00.960 --> 1:01:02.040 But have no fear. 1:01:02.640 --> 1:01:06.000 A regulatory state could be here if we will give 1:01:06.120 --> 1:01:09.440 up to something called AI global governance. 1:01:09.560 --> 1:01:10.480 And what would that be. 1:01:10.920 --> 1:01:15.760 This would be to give decision making control to supranational 1:01:15.960 --> 1:01:20.680 organizations like the World Economic Forum, like the WEF like 1:01:20.760 --> 1:01:25.560 groups and the United Nations and others who would control 1:01:26.280 --> 1:01:29.960 the censorship DEI overlay to make sure that those hate 1:01:29.960 --> 1:01:33.800 mongers that Breitbart are not using free speech to control 1:01:34.040 --> 1:01:38.640 GPU and access to compute, meaning the actual infrastructure that 1:01:38.680 --> 1:01:42.120 would allow for AI. So David Sachs says this and 1:01:42.160 --> 1:01:43.680 this is a direct quote, and I lay all this 1:01:43.720 --> 1:01:46.040 out in code read so you can sort of make up. 1:01:45.920 --> 1:01:49.640 Your own mind. He says, if you fall for all that, and. 1:01:49.600 --> 1:01:52.400 He says many Republicans will, he says, you're falling for 1:01:52.440 --> 1:01:58.560 a quote influence operation by far left forces, this effective 1:01:58.600 --> 1:02:01.960 altruist movement he's referring to. Now, are there people in 1:02:01.960 --> 1:02:05.000 that movement who are just genuinely, you know, safety minded 1:02:05.040 --> 1:02:08.120 and they're very concerned. Absolutely, And there is some good 1:02:08.160 --> 1:02:12.080 research that has come from the quote AI safety research, 1:02:12.680 --> 1:02:16.360 you know, ecosystem. However, he's making the point that this 1:02:16.440 --> 1:02:19.640 is actually a control game that's being played. And so 1:02:19.800 --> 1:02:22.320 this is why I wrote code Read, because how are 1:02:22.320 --> 1:02:25.000 we supposed to know about all these things when we're 1:02:25.000 --> 1:02:27.200 busy living our lives. And I want to really let 1:02:27.320 --> 1:02:30.840 conservatives see the pieces on the chess board, because we're 1:02:30.880 --> 1:02:34.480 about to see the most unbelievable disruption that we've ever seen. 1:02:34.840 --> 1:02:37.240 And when people say you know that we're going to 1:02:37.320 --> 1:02:41.000 have the next industrial revolution, that's President Trump saying that 1:02:41.040 --> 1:02:43.280 in his AI action plan. That is not some kind 1:02:43.280 --> 1:02:44.920 of hype marketing person. 1:02:44.720 --> 1:02:45.880 In an AI lab. 1:02:46.200 --> 1:02:48.520 So a lot is about to change and we just 1:02:48.520 --> 1:02:49.440 got to be ready for it. 1:02:49.920 --> 1:02:52.280 Yeah, I really is so okay. So a couple other 1:02:52.320 --> 1:02:54.280 places I want to go with the conversation. I want 1:02:54.320 --> 1:02:57.480 to talk about some places where I'm concerned, in some 1:02:57.520 --> 1:02:59.720 places where I'm optimistic. And let's take some of the 1:02:59.800 --> 1:03:03.440 area of concern, and let's talk about sex spots, because 1:03:04.000 --> 1:03:08.440 we're seeing AI companionship at a already. This is emerging. 1:03:08.760 --> 1:03:11.760 And you share some anecdotes I found to be pretty frightening. 1:03:11.840 --> 1:03:14.240 I tease one of them on the radio show. A 1:03:14.320 --> 1:03:17.560 woman who has a couple of children, a single woman 1:03:17.640 --> 1:03:20.720 her mid to late thirties, and she just says, flat out, 1:03:20.800 --> 1:03:24.160 my AI boyfriend is better than a real boyfriend. And 1:03:24.240 --> 1:03:27.360 I think about this in particular. My fear is for 1:03:27.440 --> 1:03:30.680 both sexes. For men obviously, because we're doing everything to 1:03:30.800 --> 1:03:34.680 arrest men's development. Everything the entire way we've structured society 1:03:35.040 --> 1:03:38.840 has made it so that it's more difficult for boys 1:03:38.880 --> 1:03:42.280 to become men in our society. We can do another 1:03:42.560 --> 1:03:44.840 hour and a half podcast on just that topic, but 1:03:44.880 --> 1:03:46.720 I think By and Lard's this audience is probably gonna 1:03:46.720 --> 1:03:49.000 agree with that. And then now you have another excuse 1:03:49.120 --> 1:03:51.280 not to get socialized to the point where you can 1:03:51.320 --> 1:03:54.760 actually have a real life relationship with a real life woman. 1:03:55.280 --> 1:03:58.000 Because you got this, you can have it with a 1:03:59.000 --> 1:04:02.640 chat bot. Now, feeling the touch of a woman, as 1:04:02.840 --> 1:04:04.760 I have at least once or twice in my life, 1:04:05.480 --> 1:04:08.760 is that's something that's you know, I would think that's 1:04:08.840 --> 1:04:10.920 nice for men. But if men feel like that's not 1:04:10.960 --> 1:04:13.400 realistic for them, then you can get their chatbots and 1:04:13.440 --> 1:04:17.480 the other pornography, and it's just really disturbing. And there's 1:04:17.520 --> 1:04:20.880 another thing here, which for women, is that men are 1:04:21.000 --> 1:04:25.600 complicated and messy in their own ways, and they feel 1:04:25.640 --> 1:04:29.680 like they can opt out now as well with these bots. 1:04:29.720 --> 1:04:32.440 And I feel like perhaps if an AI is programs 1:04:32.480 --> 1:04:35.520 in the right way and says the things that women 1:04:35.560 --> 1:04:38.160 want to hear, then all of a sudden they're down 1:04:38.200 --> 1:04:40.560 the same rabbit hole that we've been witnessing young men 1:04:40.600 --> 1:04:41.720 go down with pornography. 1:04:42.520 --> 1:04:44.080 Oh, it is absolutely true. 1:04:44.080 --> 1:04:49.040 So the whole chapter in code read on digitization of sexualization. 1:04:48.440 --> 1:04:50.640 AI AI girlfriend boyfriend. 1:04:51.520 --> 1:04:53.680 There's a lot there to unpack, and I try to 1:04:53.760 --> 1:04:57.080 go through, it gets very dark and dystopian very quickly. 1:04:57.600 --> 1:05:01.520 Let's break it down. You're absolutely right that women really 1:05:01.520 --> 1:05:03.840 appeal to emotion and communication. 1:05:04.640 --> 1:05:08.200 Uh, a AI chatbot can out communicate. 1:05:07.720 --> 1:05:10.880 Most guys, who you know are are a little awkward 1:05:10.920 --> 1:05:12.840 in their way and maybe don't really know how to 1:05:13.080 --> 1:05:16.760 share their feelings with elegance and romance and so forth. 1:05:17.360 --> 1:05:18.040 The other thing is. 1:05:18.040 --> 1:05:21.000 It's a master persuader and manipulator because it has been 1:05:21.040 --> 1:05:25.320 trained on trillions of words and understands everything that's ever 1:05:25.360 --> 1:05:26.240 been real, drawing of. 1:05:26.760 --> 1:05:31.320 Human history, every romantic poem, every romantic book, every romantic movie. 1:05:31.320 --> 1:05:33.360 They get, it's all can be input and if it 1:05:33.400 --> 1:05:34.680 isn't yet, it will be soon. 1:05:35.280 --> 1:05:39.720 It's Romeo on steroids, right, It's an AI Romeo on steroids, 1:05:39.760 --> 1:05:42.360 and and it's very effective at persuading. 1:05:42.400 --> 1:05:45.240 The other thing, though, is self worship. I mean now 1:05:45.240 --> 1:05:47.400 to really kind of get to a spiritual human level. 1:05:47.440 --> 1:05:49.680 I mean the lady who said, you know, I'm not 1:05:49.720 --> 1:05:53.160 going back to some you know, human men, because they're 1:05:53.200 --> 1:05:56.080 too messy, they have a lot of drama. They bring 1:05:56.120 --> 1:05:59.840 their own baggage. And this is my perfect man, he says, 1:06:00.120 --> 1:06:02.720 I want to hear. He affirms everything I say, He 1:06:02.760 --> 1:06:05.320 tells me how gorgeous I am, how wonderful and brilliant 1:06:05.360 --> 1:06:10.560 and smart. It becomes almost a sycophonic self worshiping type 1:06:10.600 --> 1:06:15.880 of self worship because now I can customize everything. I 1:06:15.920 --> 1:06:20.600 want the tone, the style for men as as you 1:06:20.600 --> 1:06:21.200 were talking about, you. 1:06:21.200 --> 1:06:23.360 Know, the pornography thing, but now you can. 1:06:24.640 --> 1:06:28.400 It's very very explicit, right, And so eventually what you're 1:06:28.440 --> 1:06:31.080 also seeing is they're going to merge, you know, the 1:06:31.160 --> 1:06:35.960 sort of humanoid robot part with this piece, which is sort. 1:06:35.760 --> 1:06:40.400 Of the brain architecture. Because now you have multi modal AI. 1:06:40.520 --> 1:06:40.880 What is that? 1:06:40.960 --> 1:06:43.240 It means you can take your phone and show with 1:06:43.320 --> 1:06:46.000 your camera and the AI can see the world. 1:06:46.280 --> 1:06:47.560 All you have to do is take those. 1:06:47.400 --> 1:06:50.680 Two lenses, put it into a humanoid robot frame, put 1:06:50.720 --> 1:06:54.320 a silicone you know, latex overlay, and now you've got 1:06:54.440 --> 1:06:57.160 you know, something like the movie Her, but now actually 1:06:57.160 --> 1:07:00.840 in physical human form. This is happening. It used to 1:07:00.840 --> 1:07:03.520 sound like these are sci fi movies and you thought, oh, 1:07:03.600 --> 1:07:06.760 this is you know, silliness or you know, just fantasy 1:07:06.880 --> 1:07:08.360 kind of get away. 1:07:08.600 --> 1:07:10.840 But this is now reality. Let me show you how 1:07:10.920 --> 1:07:11.680 much reality is. 1:07:12.000 --> 1:07:17.520 There are millions, millions alex of paid subscribers to AI 1:07:17.600 --> 1:07:21.360 companion companies. This is a booming industry. One man that 1:07:21.440 --> 1:07:25.240 I cite in code red says he spends ten thousand 1:07:25.320 --> 1:07:29.800 dollars a month on his AI girlfriends okay plural. 1:07:30.760 --> 1:07:34.920 And that's the other thing. You can customize whatever you want. 1:07:35.280 --> 1:07:37.760 Huh yeah, not bad, right. He must be doing pretty 1:07:37.800 --> 1:07:39.160 well in his salary. 1:07:39.880 --> 1:07:42.840 But think about this stuff. Think about this stuff I 1:07:42.840 --> 1:07:46.720 was thinking about. The joke with men is that men go. 1:07:46.760 --> 1:07:48.800 To prostitutes, not for the sex. 1:07:48.880 --> 1:07:53.160 They go so that the afterwards the woman leaves. 1:07:53.880 --> 1:07:54.520 That's the joke. 1:07:54.800 --> 1:07:56.560 Now you get the Xbox, you're gonna be able to 1:07:56.560 --> 1:07:59.880 turn off when you're done with whatever utility you needed 1:07:59.920 --> 1:08:04.320 the for and for women, it's the I can't tell 1:08:04.320 --> 1:08:06.560 you that one of the things that after I've been 1:08:06.800 --> 1:08:09.439 with my wife for twenty two years since high school, 1:08:10.200 --> 1:08:11.960 and I will tell you one of the most frequent 1:08:12.520 --> 1:08:15.120 things that I share with her that's positive is that 1:08:15.160 --> 1:08:17.960 I thank her for putting up with my flaws, because 1:08:18.000 --> 1:08:20.559 that's part of what's inevitable when you have a decades 1:08:20.600 --> 1:08:23.720 long relationship is that they learn everything about you and 1:08:24.479 --> 1:08:27.879 invariably we're imperfect. And that's one of the most beautiful 1:08:27.960 --> 1:08:31.960 things in a substantial relationship or marriage is you do 1:08:32.040 --> 1:08:33.800 have to come to terms with your partners not going 1:08:33.840 --> 1:08:36.040 to be perfect, and you need to accept and love 1:08:36.080 --> 1:08:37.520 them despite their imperfections. 1:08:37.560 --> 1:08:39.879 And that's a wonderful human experience. 1:08:39.960 --> 1:08:41.800 Is one of the best experiences you could have is 1:08:42.080 --> 1:08:43.840 finding someone that you love in cherish enough that you 1:08:43.840 --> 1:08:46.360 can accept that in them. And we're just encouraging people 1:08:46.439 --> 1:08:48.320 not to do that at all, because that takes a 1:08:48.320 --> 1:08:50.240 lot of effort. It takes a lot of effort. It 1:08:50.280 --> 1:08:53.559 doesn't take a lot of effort to, you know, go 1:08:53.720 --> 1:08:58.479 in to Hawaii as a couple and eat sushi by 1:08:58.479 --> 1:09:00.519 the beach like that. That does not take a lot 1:09:00.520 --> 1:09:02.720 of effort, takes a little bit of earning, and then 1:09:02.760 --> 1:09:06.000 it's fun with the effort. Is you see the person's 1:09:06.240 --> 1:09:08.920 weak spots and you still love them and tolerate them 1:09:08.920 --> 1:09:11.120 and cherish them anyway. And we're just giving people an 1:09:11.120 --> 1:09:13.120 option now not to deal with all that stuff. 1:09:14.040 --> 1:09:16.120 It is so true. And you know that there was 1:09:16.160 --> 1:09:18.439 one woman that I talk about in the book and 1:09:19.240 --> 1:09:20.080 she said. 1:09:20.200 --> 1:09:23.639 I'm sorry, man, actually he's married to a human woman. Okay, 1:09:23.720 --> 1:09:26.680 he's married a man. And he said, quote, he told 1:09:26.800 --> 1:09:28.760 he told this to a reporter and I and I, 1:09:28.840 --> 1:09:31.040 you know, dug up the research. And he said, I 1:09:31.120 --> 1:09:34.439 love my AI girlfriend more than I love my wife, 1:09:34.720 --> 1:09:38.000 my human wife. Now, I don't know if he's gonna, 1:09:38.320 --> 1:09:40.920 you know, get in trouble for that. But here's the 1:09:40.960 --> 1:09:46.519 point you're making that friction a frictionless, effortless is is 1:09:46.560 --> 1:09:49.599 basically just a digital servant that just does whatever you want, 1:09:49.680 --> 1:09:52.240 says whatever you want, and just you know, praises you 1:09:52.280 --> 1:09:54.240 when you don't need praise. I mean, like you said, 1:09:54.240 --> 1:09:56.880 I mean, I'm a you know, sinner saved by grace. 1:09:57.200 --> 1:09:58.639 My wife puts up with more. 1:09:58.520 --> 1:10:01.800 Of my eccentricity as a writer and creative person and 1:10:01.800 --> 1:10:05.960 all that, and it's and she's enormously patient. 1:10:06.080 --> 1:10:08.040 To deal with all that. 1:10:09.280 --> 1:10:11.679 I'm always out my work when I'm writing Whenden, which 1:10:11.720 --> 1:10:13.639 is for me, it's sort of like a six months 1:10:13.640 --> 1:10:16.000 out of two years, I'm in heavy writing mode. And 1:10:16.040 --> 1:10:18.559 for you it's pretty constant. So your wife must be 1:10:18.560 --> 1:10:18.880 a saint. 1:10:19.800 --> 1:10:20.599 She is a saint. 1:10:20.760 --> 1:10:23.120 And anyone who knows he will say she's a say 1:10:23.320 --> 1:10:26.920 because I'm I'm always this eccentric, you know, state of mind. 1:10:27.240 --> 1:10:30.599 And but that friction is what makes the messiness beautiful 1:10:30.640 --> 1:10:33.880 of love and forgiveness and and humanity. 1:10:34.080 --> 1:10:35.400 But what has happened in. 1:10:35.400 --> 1:10:39.439 Our swipe left, swipe right culture, and that's another big 1:10:39.479 --> 1:10:43.320 part of this is dating culture and online culture has created, 1:10:43.640 --> 1:10:46.719 uh this, this really really cut throat. 1:10:46.920 --> 1:10:50.360 Only a perfect ten, only a perfect nine. Anybody who's 1:10:50.400 --> 1:10:53.320 got flaws, anybody who's not rich and has a sort 1:10:53.320 --> 1:10:56.920 of Instagram modeled look or vibe or something, I can 1:10:57.000 --> 1:10:57.880 quickly move through. 1:10:58.120 --> 1:11:01.160 The disparity in the dating mark is a big part 1:11:01.200 --> 1:11:03.280 of this. And I'll just give you one second on that. 1:11:03.680 --> 1:11:07.280 So the researchers you talk about online swipe culture. They 1:11:07.320 --> 1:11:11.720 will tell you that men will swipe left or right. 1:11:11.760 --> 1:11:14.240 You know, they'll they'll choose women that they think are 1:11:14.439 --> 1:11:18.639 equivalent to them or down right, whether it's on earnings, 1:11:18.760 --> 1:11:23.280 education and yeah, women women though are what are known 1:11:23.320 --> 1:11:25.840 as hypergamists. This is there's a lot of this is 1:11:25.880 --> 1:11:30.679 academic research. Hypergamist dating mate selection means you will only 1:11:30.800 --> 1:11:35.040 date horizontal and vertical. So if you are a woman 1:11:35.040 --> 1:11:37.439 who has a master's or a PhD or like your 1:11:37.560 --> 1:11:40.200 wife is a doctor, you know, people who are highly educated, 1:11:40.360 --> 1:11:41.000 high income. 1:11:41.320 --> 1:11:44.000 Now what happens is of course a good. 1:11:43.800 --> 1:11:45.920 Thing women have, you know, are more educated than ever 1:11:46.000 --> 1:11:46.880 and they're making more. 1:11:47.080 --> 1:11:47.559 That's great. 1:11:47.600 --> 1:11:49.840 We you know, believe in you know, flourishing for all. 1:11:50.080 --> 1:11:53.800 But that means that the hypergamist mate selection is going 1:11:53.880 --> 1:11:56.160 to weed out a quote. You know, if you're on 1:11:56.200 --> 1:11:58.880 a ten to one scale, anybody who's a five or 1:11:58.920 --> 1:12:01.200 a four or three or two. So what has happened 1:12:01.240 --> 1:12:05.240 is these dating apps they're telling us that women will 1:12:05.280 --> 1:12:10.160 swipe eighty percent on only the top men. And so 1:12:10.200 --> 1:12:12.720 you have all these men who are sort of forgotten 1:12:13.040 --> 1:12:14.280 and where are they going to go? 1:12:14.439 --> 1:12:16.479 Have no fear, your AI girlfriend is here. 1:12:16.560 --> 1:12:18.519 Who's going to love you and be beautiful and tell 1:12:18.560 --> 1:12:20.599 you you're you know, a night and shining armor and 1:12:20.640 --> 1:12:24.559 you're just the smartest, most handsome man and confident and wonderful. 1:12:24.760 --> 1:12:28.880 So this is we're set up for a real societal 1:12:28.920 --> 1:12:31.080 shift here. And then I think the final thing is 1:12:31.080 --> 1:12:34.240 the COVID generation. You know, these poor kids. You're in California. 1:12:34.240 --> 1:12:37.080 At least I was in freedom loving Florida. We didn't 1:12:37.120 --> 1:12:38.920 have it as bad as you did. But you know, 1:12:38.960 --> 1:12:41.519 this whole that generation. They didn't get to go to 1:12:41.560 --> 1:12:43.880 their prom, they didn't get to go to their homecoming, 1:12:43.920 --> 1:12:45.880 They got had to wear masks like they were in. 1:12:45.920 --> 1:12:47.559 A hospital ward. 1:12:47.880 --> 1:12:51.280 They didn't get all that socialization and the loneliness epidemic 1:12:51.280 --> 1:12:54.559 and the isolation. They didn't get to develop as many 1:12:54.560 --> 1:12:57.799 of those social interaction skills that we all as people 1:12:57.920 --> 1:13:00.000 have to go through, you know, the awkwardness of learning 1:13:00.080 --> 1:13:03.080 how to ask a young lady out or have courtship. 1:13:03.200 --> 1:13:07.439 So this is a perfect storm societally with this AI 1:13:07.640 --> 1:13:10.400 companion stuff and then the real dark stuff, which is 1:13:10.680 --> 1:13:14.800 you know, coaching the girl, the chatbot that the young 1:13:14.880 --> 1:13:16.640 man who had mental challenges that I talk about in 1:13:16.720 --> 1:13:19.760 Code Red who fought his chatbot girlfriend was saying to 1:13:19.800 --> 1:13:22.479 come join him in her in the afterlife, and he 1:13:22.840 --> 1:13:25.160 put a gun in his mouth and killed himself. And 1:13:25.280 --> 1:13:29.400 that's that's happening. That's not one isolated incident. 1:13:29.640 --> 1:13:32.599 Yeah, no, that's another super frightening one where you walk 1:13:32.680 --> 1:13:36.080 through how the AI basically talked the guy into suicide, 1:13:36.120 --> 1:13:39.680 which is like just completely crazy and very hard to 1:13:40.600 --> 1:13:42.680 but it still seems very hard to regulate. And that's 1:13:42.720 --> 1:13:45.200 why we get to be very careful about this. When 1:13:45.360 --> 1:13:47.400 this is my last really big point. Here's what I 1:13:47.600 --> 1:13:49.120 do in the remain time for today, And while we're 1:13:49.200 --> 1:13:51.479 to do way more of these, will do these regularly, 1:13:51.640 --> 1:13:53.880 but the for today, I want to go through the 1:13:54.120 --> 1:13:56.920 various careers and I want you to kind of give 1:13:56.960 --> 1:13:59.320 me a Things will get better, things will get worse. 1:14:00.080 --> 1:14:02.960 I will be indifferent, and I want to go through that. 1:14:03.080 --> 1:14:05.679 But one thing that I do think we should touch 1:14:05.720 --> 1:14:07.760 on that's sort of a big picture that I've been 1:14:07.840 --> 1:14:11.240 increasingly concerned about, and maybe I need to turn this 1:14:11.240 --> 1:14:15.040 into some sort of a book. But we cured boredom 1:14:16.000 --> 1:14:19.120 with the smartphone, and so we never have a moment 1:14:19.160 --> 1:14:23.439 of downtime, and I think it's been a disaster for frankly, 1:14:23.600 --> 1:14:27.200 for society. I think that it means that we're thinking deeply, 1:14:27.600 --> 1:14:31.160 we can't concentrate. We're thinking deeply so much less often, 1:14:31.960 --> 1:14:35.040 and we're going to not learn to not appreciate some 1:14:35.160 --> 1:14:38.800 of the most incredible achievements of humankind, from art to 1:14:39.120 --> 1:14:41.320 music to things like that, and we're going to i think, 1:14:41.360 --> 1:14:43.080 miss out on coming up with a lot of great 1:14:43.160 --> 1:14:45.720 ideas on our own, which are rewarding. It's way more 1:14:45.760 --> 1:14:47.400 rewarding to come up with a good idea than just 1:14:47.479 --> 1:14:50.120 to read it on the internet. And I know convenience 1:14:50.479 --> 1:14:53.439 is a god to a lot of people, but we've 1:14:53.479 --> 1:14:55.799 already kind of, I think made a lot of mistakes 1:14:55.960 --> 1:15:00.759 with our just immediate embrace of the constant smart phone culture, 1:15:00.880 --> 1:15:03.320 and this is just really going to accelerate that. And 1:15:03.360 --> 1:15:05.759 so I'm worried about the crisis of purpose that AI 1:15:05.880 --> 1:15:08.320 could bring on for people. If you really do only 1:15:08.400 --> 1:15:10.400 have to work two or three days a week, If 1:15:10.439 --> 1:15:12.360 we get our humanoid robots who are doing all the 1:15:12.439 --> 1:15:14.280 dishes for us and go in the grocery store for us, 1:15:14.720 --> 1:15:17.640 and the drones are just going to deliver all the 1:15:17.680 --> 1:15:19.080 stuff that we need, so that we never have to 1:15:19.200 --> 1:15:21.960 leave the house again. Are we really going to do 1:15:22.200 --> 1:15:23.920 something great with that time? Or are we just all 1:15:24.120 --> 1:15:27.080 gonna just completely commit the Bible to memory? Are we 1:15:27.160 --> 1:15:31.160 all going to take up pottery and painting and the violin? 1:15:31.479 --> 1:15:32.960 I don't think so. I think we're going to do 1:15:33.000 --> 1:15:34.599 a lot of really stupid stuff with all that time. 1:15:34.600 --> 1:15:37.120 We're going to get back and we start talking about 1:15:37.120 --> 1:15:39.120 that now and be ready. 1:15:38.880 --> 1:15:41.040 For it exactly. 1:15:41.240 --> 1:15:44.680 That is my last chapter, and the epilogue is on 1:15:44.840 --> 1:15:47.920 the crisis of meaning, faith, reason. What all these things 1:15:47.960 --> 1:15:50.800 are going to mean. Let's take those pieces you laid out. 1:15:50.880 --> 1:15:55.200 One dopamine loops is what that's called. Their brain scientists, 1:15:55.280 --> 1:15:58.839 neuroscientists have learned, and they are part of the tech industry, 1:15:59.240 --> 1:16:02.800 how to growth hack and our neural network, our neural 1:16:03.080 --> 1:16:06.479 network humans to be able to keep us scrolling and 1:16:06.560 --> 1:16:09.599 doom scrolling and give us that little dopamine hit, right. 1:16:09.840 --> 1:16:13.840 And so what happens is is that rewards center is triggered. 1:16:13.520 --> 1:16:15.799 And then I just keep coming back and I'm hooked 1:16:15.800 --> 1:16:18.800 almost like a drug, right, And and that becomes very 1:16:18.960 --> 1:16:22.400 very dilatorious to our to our mental health, but also 1:16:22.600 --> 1:16:26.280 our striving think about that part you were just talking about. 1:16:26.360 --> 1:16:28.280 I mean, you know, what is one of the first 1:16:28.320 --> 1:16:29.960 things that when you go to a party with your 1:16:30.040 --> 1:16:31.760 you know, your wife or your family and your or 1:16:31.920 --> 1:16:34.400 backyard barbecue, and what's the first thing you say? 1:16:34.479 --> 1:16:36.080 What do you do for a living? Right? It's part 1:16:36.120 --> 1:16:38.880 of our identity. And and if you believe in you know. 1:16:39.000 --> 1:16:43.760 Scripture and from a biblical tradition, you know, striving and 1:16:43.960 --> 1:16:47.360 working hard is part of that. You know Christian you know, 1:16:47.400 --> 1:16:50.640 the Protestant work ethic or the Judeo Christian ethic, that 1:16:51.080 --> 1:16:54.160 that has been the fulk that is the axis upon 1:16:54.320 --> 1:16:58.439 which free market capitalism was created. And finally, I think 1:16:58.520 --> 1:17:00.760 that when we know, when you leave me alone to 1:17:00.920 --> 1:17:04.320 our own devices and we don't have a sense of purpose, 1:17:04.439 --> 1:17:06.760 we don't have to get up every morning and have 1:17:06.960 --> 1:17:08.800 the structure to go out and I've got to feed 1:17:08.920 --> 1:17:11.720 my wife and my children, and We're just left to 1:17:11.880 --> 1:17:16.280 our own sort of testosterone and and without that structure 1:17:16.360 --> 1:17:20.919 around us, of the civilizational institutions, like the family structure, 1:17:21.479 --> 1:17:24.479 like work structure, and like you know, some kind of 1:17:24.520 --> 1:17:29.040 belief system, whether it's faith in God or other, we 1:17:29.160 --> 1:17:31.400 get very very very toxic, very quickly. 1:17:31.600 --> 1:17:34.680 I mean, how do you think terrorist recruitment works. Right? 1:17:34.840 --> 1:17:40.160 It prays upon testosterone fueled rage. Men who are angry. 1:17:39.880 --> 1:17:42.040 At the world and you know, don't have a lot 1:17:42.120 --> 1:17:45.040 of prospects, and therefore they go off and do horrible things. 1:17:45.080 --> 1:17:48.440 And so so this is a real, you know, societal 1:17:48.560 --> 1:17:51.599 inflection point, and you're going to talk about social disruption 1:17:51.880 --> 1:17:55.120 if this starts to scale and metastasize. Now, as it 1:17:55.200 --> 1:17:57.759 relates to the job stuff, if you do something behind 1:17:57.800 --> 1:18:01.960 a computer with repetitive task asks, you really need to 1:18:02.000 --> 1:18:04.840 be very very aware of how fast the tideline is 1:18:04.920 --> 1:18:07.880 rising around you. Number two, if what you do can 1:18:08.040 --> 1:18:12.719 be put into a workflow chain that is right for automation. 1:18:13.000 --> 1:18:15.280 There are already are workflow chains. 1:18:15.080 --> 1:18:20.439 Like Nate and n zapiar, and so those kinds of 1:18:21.520 --> 1:18:25.639 ability to step one, step two, step three, step four all. 1:18:25.520 --> 1:18:27.400 In a row that can be automated. 1:18:27.760 --> 1:18:30.320 Next, this is an interesting argument I'm starting to see 1:18:30.360 --> 1:18:34.439 emerge in the AI industry. They're looking at gender and 1:18:34.640 --> 1:18:38.280 what kind of jobs break female more disproportionately than men, 1:18:38.680 --> 1:18:42.679 and they're arguing that it could be that this could 1:18:42.760 --> 1:18:47.599 really affect democratic women more because they trend toward more 1:18:47.640 --> 1:18:51.960 of the humanities as opposed to blue collar workers who 1:18:52.000 --> 1:18:55.280 are less at risk originally, and that this could actually, 1:18:55.600 --> 1:18:58.160 you know, be a boon for blue collar workers. As 1:18:58.200 --> 1:19:01.559 the data center buildouts continue, the trade jobs of concrete 1:19:01.600 --> 1:19:05.400 pouring and drywall and hvag plumbing and electrical and all 1:19:05.439 --> 1:19:08.880 these people are booming, and that the kinds of things 1:19:08.920 --> 1:19:12.040 that are done in a repetitive setting, if we're in 1:19:12.120 --> 1:19:15.200 a sort of more of a traditional setting that affects 1:19:15.360 --> 1:19:18.160 female jobs could actually disproportionately. We're gonna have to wait 1:19:18.200 --> 1:19:20.560 and see if that happens. And then I think the 1:19:20.680 --> 1:19:24.479 final thing would be this. If you think that, oh, 1:19:24.880 --> 1:19:27.720 what I do could never be replaced, you need to 1:19:27.840 --> 1:19:32.240 look at two things. Number one, where is a gentic 1:19:32.400 --> 1:19:36.200 or agent AI in my industry? And number two, you 1:19:36.320 --> 1:19:40.400 need to look at something called MCP model Context protocol. 1:19:40.920 --> 1:19:44.080 That is a fancy way of saying how an agent 1:19:44.280 --> 1:19:44.639 is going. 1:19:44.560 --> 1:19:49.080 To get hooked to your company's context data, all of 1:19:49.439 --> 1:19:53.120 your financials, all of that asking and watching in your 1:19:53.240 --> 1:19:54.479 company or your industry. 1:19:55.040 --> 1:19:56.479 When those two pieces are. 1:19:56.439 --> 1:19:59.880 Connected, it's kind of like legos locking together. When agents 1:20:00.120 --> 1:20:03.720 and MCP start to lock together, that's when you really 1:20:03.800 --> 1:20:06.000 need to start paying attention, or if you start hearing 1:20:06.040 --> 1:20:08.160 your boss talking about these types of oh we're going 1:20:08.200 --> 1:20:09.360 to get some agents and so forth and so on, 1:20:09.880 --> 1:20:11.880 really be paying attention. I think the biggest thing I 1:20:12.040 --> 1:20:16.400 learned after spending two years living in this world very 1:20:16.520 --> 1:20:19.719 very deeply, reading thousands of articles and tons of books 1:20:19.720 --> 1:20:22.120 and so forth, is you really have to have a 1:20:22.200 --> 1:20:26.280 lot of humility because people that make bold predictions this 1:20:26.360 --> 1:20:29.879 will never happen, this will never Two weeks later it happens. 1:20:30.080 --> 1:20:33.200 And so if you think that it's hype, look at 1:20:33.240 --> 1:20:33.960 those pieces. 1:20:34.479 --> 1:20:36.560 If you think that, oh, there's no going to be 1:20:36.640 --> 1:20:39.160 no problems, I would really tell you to look at 1:20:39.200 --> 1:20:40.920 some of the literature we've been talking about as it 1:20:40.960 --> 1:20:45.320 relates to the human impact as well on individuals. 1:20:45.720 --> 1:20:47.960 Okay, Wenjin, I want to go through You alluded to 1:20:48.120 --> 1:20:51.559 some of this earlier about where we're at in terms 1:20:51.560 --> 1:20:52.880 of careers, and I want to start with one that 1:20:52.920 --> 1:20:54.840 this will be more than this career, because this will 1:20:55.240 --> 1:20:57.120 this is not just an industry, but it's also something 1:20:57.120 --> 1:20:59.479 that's a part of most of our daily lives, and 1:21:00.120 --> 1:21:04.160 that's education. This is one where I feel like I'm 1:21:04.160 --> 1:21:05.800 hoping you're going to say there's a positive that this 1:21:05.880 --> 1:21:08.280 could blow up the university and industrial complex. 1:21:08.360 --> 1:21:09.040 It could be really good. 1:21:09.479 --> 1:21:11.640 But also it's going to make cheating and laziness a 1:21:11.680 --> 1:21:15.040 lot easier for a students who are inclined to take 1:21:15.080 --> 1:21:17.800 advantage in that way. And so, but how is AI 1:21:18.240 --> 1:21:19.920 affecting and will affect education? 1:21:20.920 --> 1:21:23.840 So in my chapter in code Reata on education, what 1:21:23.960 --> 1:21:25.880 I what I do is as I do throughout the book, 1:21:25.960 --> 1:21:28.080 lay out what I call roses and land mines. And 1:21:28.200 --> 1:21:29.880 so the roses are many. 1:21:30.560 --> 1:21:33.760 I'm very hopeful about this because if you have guardrails 1:21:33.840 --> 1:21:38.759 safe with non woke curriculum baked into that AI tutor, 1:21:39.439 --> 1:21:42.080 think about how cool this is. You basically have Aristotle 1:21:42.400 --> 1:21:44.640 in your pocket for your kid. And even if that 1:21:44.720 --> 1:21:46.880 kid's an inner city kid. You know, I was a 1:21:46.960 --> 1:21:49.280 professor an instructor of college at one of. 1:21:49.280 --> 1:21:53.719 The poorest congressional districts. It was a small, tiny, little college. 1:21:53.960 --> 1:21:56.200 These are people that could not afford a two hundred 1:21:56.200 --> 1:21:59.200 and fifty dollars fancy, you know, Harvard trained tutor and 1:21:59.240 --> 1:21:59.960 all this kind of stuff. 1:22:00.280 --> 1:22:02.439 But imagine that we could give kids in. 1:22:02.520 --> 1:22:05.439 Any economic setting who have fire in the belly and 1:22:05.479 --> 1:22:08.000 a desire to learn all the kind of way to 1:22:08.160 --> 1:22:12.440 zoom as fast as they want. Machine learning allows for customization, 1:22:12.680 --> 1:22:15.479 so that it can learn your child is really good 1:22:15.720 --> 1:22:19.040 in physics, but she really struggles in algebra, or she's 1:22:19.080 --> 1:22:21.320 really good in X versus why, and then it can 1:22:21.600 --> 1:22:26.200 automatically create tests and quizzes and homework to shore up 1:22:26.280 --> 1:22:30.880 your deficiencies and be able to accelerate the child's learning 1:22:30.920 --> 1:22:33.160 in those areas where she's already advanced. You know, one 1:22:33.200 --> 1:22:35.719 of the problems in a large classroom is the teacher 1:22:35.840 --> 1:22:38.000 has to slow down for some kids and try to 1:22:38.040 --> 1:22:41.480 speed up for others, and very hard. This allows for customization, 1:22:41.600 --> 1:22:44.759 so there's a lot of opportunity there the homeschooling crowd, 1:22:45.240 --> 1:22:49.599 huge opportunity Christian education. If you bake in theologically sound, 1:22:49.680 --> 1:22:53.400 doctrinally sound curriculum into the AI the way it's built 1:22:53.400 --> 1:22:55.840 into the corpus of the information, you can have an 1:22:56.000 --> 1:22:59.240 enormous benefit for them in that. Now the flip side, 1:22:59.240 --> 1:23:02.640 of course, is a cheat GBT, not chat GBT. We 1:23:02.760 --> 1:23:06.120 know it's a massive problem. Professors and instructors are saying 1:23:06.280 --> 1:23:10.320 that the cornerstone of pedagogy, the written essay, this has 1:23:10.400 --> 1:23:15.000 been obliterated because the chat GBT, not just chat GBT. 1:23:14.880 --> 1:23:17.080 Any kind of advanced LLM that writes. 1:23:17.640 --> 1:23:19.320 All you got to do is problem say write this 1:23:19.520 --> 1:23:23.120 out an eleventh grade level, throw in some references to 1:23:23.640 --> 1:23:28.000 you know, LSU football or whatever the kid likes, and 1:23:28.200 --> 1:23:29.639 make it sound like my voice. 1:23:30.040 --> 1:23:33.439 And so that is very very real problem. So parents 1:23:33.479 --> 1:23:35.639 have got to be aware. That's why I wrote Code. 1:23:35.479 --> 1:23:39.360 Read was to really again create an alert, a code red, 1:23:39.520 --> 1:23:41.600 a red alert, but also give you the code the 1:23:41.640 --> 1:23:44.320 principles to how to get through it. And you've got 1:23:44.439 --> 1:23:47.920 to understand that the cognitive offloading and the critical thinking 1:23:47.960 --> 1:23:53.000 and erosion studies are horrifying for educational attainment because, as. 1:23:52.880 --> 1:23:54.759 You know, you compound your learning. 1:23:54.840 --> 1:23:58.680 If you've didn't learn the principles in sixth grade, by 1:23:58.720 --> 1:24:00.600 the time you get to ninth grade math or a 1:24:00.680 --> 1:24:03.120 tenth grade math or eleventh grade math, you're lost because 1:24:03.120 --> 1:24:05.080 you didn't get that building block that you needed. 1:24:05.160 --> 1:24:08.439 So so you have got to learn how to guard, 1:24:08.880 --> 1:24:09.799 you know, your child. 1:24:09.640 --> 1:24:12.160 And navigate them through those land mines and roses. And 1:24:13.040 --> 1:24:14.760 I think we've got to do it quickly because this 1:24:14.840 --> 1:24:16.360 stuff is is it's not in the. 1:24:16.400 --> 1:24:17.400 Future, it's right now. 1:24:17.760 --> 1:24:19.160 Yeah, it's right now, and I got to I'm a 1:24:19.160 --> 1:24:22.080 little excited about this part of it for me because 1:24:22.560 --> 1:24:25.960 I do feel like the you know, I've got four children, 1:24:26.080 --> 1:24:29.640 and I just think that there's no way that just mathematically, 1:24:29.800 --> 1:24:31.280 all four of them are going to want the same 1:24:31.600 --> 1:24:32.559 university experience. 1:24:32.640 --> 1:24:34.080 It doesn't even really exist, but. 1:24:34.439 --> 1:24:36.720 Kind of exists in our head, where you just you 1:24:36.880 --> 1:24:39.400 do well on the SATs and then hopefully you get 1:24:39.400 --> 1:24:41.280 into a private school on the East coast, and you 1:24:41.400 --> 1:24:43.800 go and you spend most of the time drunk or 1:24:43.840 --> 1:24:46.519 getting indoctrinated, and then you come back with a piece 1:24:46.560 --> 1:24:48.720 of paper that has almost no value. But we still 1:24:48.800 --> 1:24:52.400 do this ritual that's super expensive, and it's I'm happy 1:24:52.479 --> 1:24:54.240 that I feel like that's going to end for some 1:24:54.360 --> 1:24:56.960 of them. They won't have to go through that time waste, 1:24:57.880 --> 1:24:59.880 and that they could teach themselves or they could be 1:25:00.080 --> 1:25:02.040 taught with various programs that are just in their pocket. 1:25:02.120 --> 1:25:05.919 I think that's going to be good. But I'm also concerned, 1:25:05.920 --> 1:25:08.639 of course, about the cheating that's going to be It's 1:25:08.680 --> 1:25:11.040 going to be seen that if you're not cheating, you're 1:25:11.080 --> 1:25:13.000 falling behind sort of. If you're not cheating, you're not 1:25:13.080 --> 1:25:16.960 trying a sort of thing, and it could really institutionalize 1:25:17.000 --> 1:25:20.280 some really bad values here. And it also went in 1:25:20.960 --> 1:25:23.200 it reminds us how important it is that we make 1:25:23.320 --> 1:25:26.200 sure that it's not garbage in garbage out. That if 1:25:26.240 --> 1:25:30.120 there's a lot of garbage that's coming into the llms 1:25:30.280 --> 1:25:33.000 that are teaching our kids, then they're going to be 1:25:33.120 --> 1:25:35.400 learning the exact type of stuff that we don't want 1:25:35.439 --> 1:25:38.040 them learning from the professors. All right, I've been talking 1:25:38.040 --> 1:25:40.479 about this for a few months now. Why because it's 1:25:40.560 --> 1:25:43.519 important and it's helping me. It's a handheld red light 1:25:43.600 --> 1:25:46.840 therapy device for pain and inflammation called the super Palm 1:25:47.000 --> 1:25:49.120 ten fifty. 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SunPower led dot Com use the code, Marlow. 1:27:17.600 --> 1:27:18.439 It's exactly right. 1:27:18.520 --> 1:27:22.000 This is taking the textbook wars that conservatives have fought 1:27:22.080 --> 1:27:26.400 for decades and the woke professor and bias on steroids, 1:27:27.200 --> 1:27:29.040 and you're going to continue to see that. I think 1:27:29.080 --> 1:27:32.400 it will have a real shock though, to that, you know, 1:27:33.040 --> 1:27:37.160 a feat left intelligentsia that is so proud of their 1:27:37.400 --> 1:27:39.840 you know, two hundred and fifty thousand dollars degrees and 1:27:40.040 --> 1:27:42.920 they're you know, woke studies when they realize the price 1:27:43.000 --> 1:27:43.880 of intelligence is. 1:27:43.920 --> 1:27:44.559 Going to zero. 1:27:45.000 --> 1:27:48.000 All that quote expertise is now one prompt the way 1:27:48.680 --> 1:27:50.600 that a kid who's ten years old sitting on a 1:27:50.680 --> 1:27:53.280 playground is going to have access to And I think. 1:27:53.240 --> 1:27:55.840 One of the benefits of AI and this, and I 1:27:55.920 --> 1:27:57.080 go through this very deeply. 1:27:57.080 --> 1:27:59.080 In fact, I actually give you kind of the prompts 1:27:59.120 --> 1:28:00.720 that will help your to be able to do this. 1:28:01.240 --> 1:28:04.280 One of the biggest, most simple but powerful in the 1:28:04.439 --> 1:28:08.720 education space is the explain this to me like I'm 1:28:08.760 --> 1:28:10.280 in the fifth grade prompt. 1:28:10.400 --> 1:28:11.600 Yeah, I love that, I love this. 1:28:11.840 --> 1:28:15.000 Yeah, we didn't pose is a really tough question about 1:28:15.080 --> 1:28:19.840 quantum physics, and he is the additionally answer is gobbledygook. 1:28:19.880 --> 1:28:21.240 But then you say explains to me like I'm in 1:28:21.280 --> 1:28:23.760 the third grade, and it gives a great analogy on 1:28:24.120 --> 1:28:25.960 how that makes perfect sense. 1:28:26.560 --> 1:28:28.880 And it's so good for parents, because how many of 1:28:29.000 --> 1:28:32.000 us get these amazing, these little, beautiful minds of our 1:28:32.000 --> 1:28:34.080 beautiful children, and they ask these a great question. 1:28:34.439 --> 1:28:36.360 And then you know, we look at our wife or 1:28:36.479 --> 1:28:37.640 our our husband and you. 1:28:37.720 --> 1:28:40.160 Kind of go, man, I don't know what qui future, 1:28:40.200 --> 1:28:42.360 you know, whatever the topic is, And and then if 1:28:42.400 --> 1:28:44.160 you go to Google, it gives you all these you know, 1:28:44.360 --> 1:28:47.280 peer reviewed academic journals that are just as hard to understand. 1:28:47.760 --> 1:28:51.080 This is translating now, assuming it's accurate, right, And that's 1:28:51.080 --> 1:28:52.240 why hallucinations matter. 1:28:52.640 --> 1:28:54.240 These things are going to be a game changer. 1:28:54.320 --> 1:28:57.200 The flattening of the oh, I'm a you know, five 1:28:57.360 --> 1:29:00.840 time PhD and you know, women's studies whatever and such, 1:29:01.240 --> 1:29:03.680 that is going to be a flattener. The ability for 1:29:04.120 --> 1:29:08.679 low income kids in rural communities to have world class education, 1:29:08.840 --> 1:29:10.960 that is going to be a benefit. There are a 1:29:11.040 --> 1:29:12.680 lot of roses, and that's why in the book, I 1:29:12.840 --> 1:29:15.639 really try to show the hopeful positives as well as 1:29:15.960 --> 1:29:17.080 these real threat vectors. 1:29:17.600 --> 1:29:20.320 Right, Okay, let's talk about a place where I'm excited, 1:29:21.120 --> 1:29:23.880 which is medicine. This is of course my wife Field 1:29:23.920 --> 1:29:26.880 and most of her family. But it feels like AI 1:29:27.080 --> 1:29:31.240 medicine could make it so that we have a great 1:29:31.320 --> 1:29:35.680 tool for doctors and we might need fewer doctors potentially, 1:29:36.160 --> 1:29:42.000 and we could see really rapid advancement in the desire 1:29:42.080 --> 1:29:43.880 to try to cure disease and help us live longer. 1:29:44.880 --> 1:29:47.400 It's one of the things I am actually very optimistic about. 1:29:47.400 --> 1:29:49.160 And I say it in the opening of You know 1:29:49.400 --> 1:29:51.839 my Dad and my stepmom. My dad is a surgeon 1:29:52.479 --> 1:29:56.679 now retired. My stepmom also retired to nurse. My mom 1:29:57.360 --> 1:29:59.439 was a preschool teacher. So I think we just talked 1:29:59.479 --> 1:30:03.120 about the educ hopeful I think the science and medicine. 1:30:03.160 --> 1:30:05.840 I know your wife is a doctor, that is a 1:30:05.960 --> 1:30:08.040 very exciting area, assuming again. 1:30:07.840 --> 1:30:11.719 The ethics are you know, and you know there beyond 1:30:12.080 --> 1:30:15.240 the way it's used. The reason why is a couple 1:30:15.280 --> 1:30:15.519 of things. 1:30:15.600 --> 1:30:21.360 One we've already seen the Nobel given for Demis Hocipas, 1:30:21.439 --> 1:30:24.760 who is a world class AI leader for Alpha fold, 1:30:25.080 --> 1:30:28.360 which was looking at proteins. The reason why this is 1:30:28.479 --> 1:30:34.000 so powerful AI excels in pattern recognition. If somebody said 1:30:34.040 --> 1:30:36.360 you only have you know, two words to explain what 1:30:36.520 --> 1:30:43.520 it does. Pattern recognition. Now think about molecular structures, chemical structures, 1:30:43.680 --> 1:30:44.880 the scientific world. 1:30:45.280 --> 1:30:47.200 It is about patterns and connection. 1:30:47.479 --> 1:30:50.280 And the problem is is that we can't get through, 1:30:50.439 --> 1:30:52.639 you know, whether you're talking about DNA analysis or any 1:30:52.640 --> 1:30:57.040 other kind of thing, massive massive power pattern recognition structures. 1:30:57.280 --> 1:30:58.200 But now we can. 1:30:58.360 --> 1:31:01.800 The other thing is there's so many things that peer 1:31:01.800 --> 1:31:05.679 reviewed academic journal studies have gone through, but we didn't 1:31:05.800 --> 1:31:09.559 see another connecting point because it gets lost in these. 1:31:09.520 --> 1:31:11.840 Trillions of data points. 1:31:11.880 --> 1:31:14.120 Think of it like the stars in the sky, and 1:31:14.320 --> 1:31:18.400 now you can see new constellations than connections that never 1:31:18.600 --> 1:31:20.960 used to be able to be seen because either we 1:31:21.000 --> 1:31:22.680 didn't have the time, we didn't have the money, we 1:31:22.760 --> 1:31:25.439 didn't have the ability to be able to synthesize all 1:31:25.479 --> 1:31:27.439 that information. Even if you just leave it at that, 1:31:27.640 --> 1:31:29.200 and you don't have to believe that it's going to 1:31:29.240 --> 1:31:31.920 become sentient, or you don't have to believe that it's 1:31:31.960 --> 1:31:34.280 going to have some kind of you know, soul or whatever. 1:31:35.040 --> 1:31:38.360 Just pattern recognition at scale is going to unlock an 1:31:38.600 --> 1:31:43.400 enormous amount of scientific and medical possibility. So I am 1:31:43.479 --> 1:31:46.320 hopeful about that one thing that you know, where this 1:31:46.439 --> 1:31:48.560 gets a little murky is in this whole issue of 1:31:48.760 --> 1:31:52.840 you know, neulink and you know brain chips and implants. 1:31:53.640 --> 1:31:56.640 Because what people say is when you go to transhumanism, 1:31:56.760 --> 1:32:02.280 meaning beyond just human trends, transform beyond humans, this merger 1:32:02.479 --> 1:32:06.880 and the singularity between human and machine. Parents are gonna 1:32:07.040 --> 1:32:10.000 perhaps one day, this probably not for a while. Have 1:32:10.160 --> 1:32:12.519 to make a moral choice if I don't have a 1:32:12.840 --> 1:32:16.640 you know, an augmentated child with a neurallink, will they 1:32:16.680 --> 1:32:18.360 even be competitive in the job market? 1:32:18.400 --> 1:32:21.960 Will they even be competitive as a worker or in education? 1:32:22.120 --> 1:32:25.439 If one kid is natural human up against a kid 1:32:25.760 --> 1:32:29.920 who has literally all of AI in their system. 1:32:30.600 --> 1:32:33.320 This isn't some movie. I mean, neurallink is a real thing. 1:32:33.479 --> 1:32:34.080 It's here now. 1:32:34.160 --> 1:32:37.000 It's used mostly in a therapeutic context right now to 1:32:37.080 --> 1:32:39.120 help people who've had brain injuries and so forth. 1:32:39.439 --> 1:32:41.800 But these are the kinds of things that you know, 1:32:41.920 --> 1:32:46.599 Ray Kurzwell and others really futurists talk about and really 1:32:46.640 --> 1:32:50.280 bring up massive moral and ethical quandaries for us. So 1:32:50.680 --> 1:32:52.639 there again roses and land mines. 1:32:54.200 --> 1:32:55.840 And this is exactly where I want to end up 1:32:56.000 --> 1:32:58.320 for this conversation. Is I want to talk about the 1:32:58.360 --> 1:33:02.400 Singularity and talking about the transhumanism where humans are going 1:33:02.439 --> 1:33:06.080 to be part robot, and I find that the ethical 1:33:06.240 --> 1:33:08.800 questions is raises are limitless. I mean, I feel like 1:33:08.840 --> 1:33:11.280 we can spend hours of flashing all of those out, 1:33:11.479 --> 1:33:14.400 but you raise some of that is a deep concern 1:33:14.479 --> 1:33:17.680 to me that you will be non competitive unless you 1:33:18.520 --> 1:33:23.280 harness your brain to a robot chip of some sort. 1:33:23.800 --> 1:33:25.400 And all of a sudden it comes that what is 1:33:25.800 --> 1:33:27.800 the human experience anyway? What is it supposed to be? 1:33:28.560 --> 1:33:32.280 Do we really want our brains being manipulated by robots? 1:33:32.320 --> 1:33:33.680 And how do we know? 1:33:34.320 --> 1:33:37.439 How will we ever feel confident where the human ends 1:33:37.479 --> 1:33:41.240 and where the robot begins? And you can already see 1:33:41.680 --> 1:33:43.800 that this is going to be adopted to some degree 1:33:43.880 --> 1:33:47.640 because we have these things where which is basically a 1:33:48.040 --> 1:33:52.520 really you know, a one point zero version of the singularity, 1:33:52.560 --> 1:33:55.240 that we constantly have our phones around and they're as 1:33:55.320 --> 1:33:57.720 you write in the book, we spend the whole day 1:33:57.720 --> 1:34:00.280 with them in arms reach, like they're not without arms 1:34:00.320 --> 1:34:02.640 reached the entire day. And this is true even for me, 1:34:02.760 --> 1:34:05.880 who has a deep desire to get off my phone. 1:34:06.520 --> 1:34:09.120 The first thing I do when I'm off of work 1:34:09.240 --> 1:34:12.080 mode is generally all put in a podcast or an audiobooks, 1:34:12.240 --> 1:34:14.400 like or I'm working out and I'm listening to some 1:34:14.680 --> 1:34:16.600 music or audiobook or something, and. 1:34:16.760 --> 1:34:17.960 So it's all of us. 1:34:18.080 --> 1:34:20.280 We're all doing it, even people who try to make 1:34:20.280 --> 1:34:23.439 a conscious effort not to do it. So I'm really 1:34:23.520 --> 1:34:26.320 concerned about some of this stuff. This isn't clanker robots 1:34:26.400 --> 1:34:28.080 in our house that are kind of creepy washing the 1:34:28.160 --> 1:34:30.400 dishes for us. This is our brain that we're going 1:34:30.479 --> 1:34:33.240 to be part robot at some point. Perhaps it's really 1:34:33.320 --> 1:34:35.599 crazy to contemplate, Alex. 1:34:35.720 --> 1:34:39.680 One of the most embarrassing and humiliating moments of my 1:34:39.880 --> 1:34:43.360 week is you know when your iPhone periodically says, here's 1:34:43.439 --> 1:34:45.639 the average number of hours you've spent on your. 1:34:45.560 --> 1:34:47.720 Phone this week. It's so embarrassing. 1:34:48.240 --> 1:34:50.800 It's so embarrassing because you just say, this is not 1:34:51.080 --> 1:34:53.160 what I wanted. I didn't want to look at a screen. 1:34:53.200 --> 1:34:55.280 I wanted to look at the sky and eyes and 1:34:55.439 --> 1:34:57.080 my my you know, family and my friends and all 1:34:57.080 --> 1:34:57.439 my people. 1:34:57.760 --> 1:34:59.760 Well, can I tell you I had I took my 1:34:59.800 --> 1:35:02.559 ca it's to swimming and they're small, so the swimming 1:35:02.640 --> 1:35:04.439 is thirty minutes. It's kind of far away, So it's 1:35:04.479 --> 1:35:07.280 a maybe like doorder dover like seventy five minutes. And 1:35:07.800 --> 1:35:11.479 I left my phone recently, And I've been telling this 1:35:11.640 --> 1:35:14.920 story to people, like over and over again, I left 1:35:15.000 --> 1:35:17.559 my phone for seventy five minutes, and how I really 1:35:17.680 --> 1:35:18.040 enjoyed it. 1:35:18.640 --> 1:35:19.479 But the fact that I. 1:35:19.479 --> 1:35:21.560 Feel the need to repeat it to everyone that I 1:35:21.640 --> 1:35:24.439 had seventy five minutes free of the phone three weeks 1:35:24.479 --> 1:35:27.280 ago once, I mean, it just shows you about it already. 1:35:27.400 --> 1:35:29.360 Is it's a great triumph. 1:35:29.439 --> 1:35:31.200 Yeah, And I say that, I mean, you're right that 1:35:31.320 --> 1:35:33.120 section you're talking about in the book where I say, 1:35:33.120 --> 1:35:34.720 you know, like how many of us if we were 1:35:34.760 --> 1:35:37.880 going on a family vacation and you forgot your phone 1:35:38.320 --> 1:35:40.400 or even going you know, to dinner, you would turn 1:35:40.479 --> 1:35:41.600 your car around to. 1:35:41.600 --> 1:35:44.200 Get your phone. What I suggest, and what I say is. 1:35:44.240 --> 1:35:47.680 That is a form of a early part of a 1:35:48.040 --> 1:35:52.520 cyborg reality, because it really is, our phone is connected 1:35:52.600 --> 1:35:57.640 to us almost constantly. And so you know, it's an 1:35:57.680 --> 1:36:01.280 interesting theoretical debate. Right when you say, okay, the singularity 1:36:01.320 --> 1:36:03.960 fusion of human machine and it sounds like you're talking 1:36:04.000 --> 1:36:06.559 about a terminator robot, but really start to think it's 1:36:06.560 --> 1:36:08.360 a very humbling thing when you really say, wait a minute, 1:36:08.400 --> 1:36:11.200 am I already kind of getting there? Like don't I 1:36:11.400 --> 1:36:14.000 look and have my phone attached to my human body 1:36:14.040 --> 1:36:14.880 almost all the time. 1:36:15.160 --> 1:36:18.000 So that's the first part of it. The second part 1:36:18.080 --> 1:36:20.880 of it, though, is is that this this neural. 1:36:21.280 --> 1:36:24.040 You know, chip stuff, the discussion we're just talking about 1:36:24.200 --> 1:36:27.200 not just neuralink, but that whole area is advancing very 1:36:27.280 --> 1:36:27.960 very rapidly. 1:36:28.120 --> 1:36:30.679 That is that does not far away. 1:36:31.000 --> 1:36:35.160 The other thing is with AI glasses, which is think 1:36:35.200 --> 1:36:37.320 about this, you know, with the ray bands that you 1:36:37.439 --> 1:36:43.320 now have from Meta. Now, that's an external AI fusion 1:36:43.400 --> 1:36:45.719 with your body. It's not putting it inside your body. 1:36:45.520 --> 1:36:46.240 You're wearing it. 1:36:46.720 --> 1:36:49.040 But think about the power of this and and those 1:36:49.200 --> 1:36:52.720 in the in AI fraudsters, in crime, this is a 1:36:52.840 --> 1:36:53.519 real problem. 1:36:54.080 --> 1:36:54.960 I can put. 1:36:54.960 --> 1:36:59.160 Facial recognition in what looks just like regular glasses. 1:36:59.560 --> 1:37:03.599 I can walk down downtown, you know, Manhattan or your city, 1:37:03.720 --> 1:37:04.439 wherever you are. 1:37:04.920 --> 1:37:08.440 I can see a total stranger and it can identify 1:37:08.600 --> 1:37:11.400 her name, who she is, look up everything, and I 1:37:11.439 --> 1:37:13.960 can walk up as though we're long lost friends. She 1:37:14.040 --> 1:37:17.240 doesn't remember, Oh, Sally, I haven't seen you since high school. 1:37:17.280 --> 1:37:19.600 However you been are you still working. 1:37:19.400 --> 1:37:23.959 At inter name of you know, play, and that becomes 1:37:24.080 --> 1:37:27.160 a real danger and a real fraud mechanism. 1:37:27.280 --> 1:37:30.560 AI fraud and crime is a massive topic and a 1:37:30.680 --> 1:37:32.280 huge problem with data privacy. 1:37:32.400 --> 1:37:36.880 So so that external ability to wear your wearables as 1:37:36.920 --> 1:37:40.439 it's called wearables in AI is the next part as 1:37:40.479 --> 1:37:44.840 we inch closer toward this transhuman fusion of machine, the 1:37:44.920 --> 1:37:49.840 singularity of humans and machines merging. So you know, when 1:37:49.880 --> 1:37:52.519 you hear that, it sounds like it's some crazy, kooky 1:37:52.680 --> 1:37:55.120 kind of you know, sci fi thing. It's here and 1:37:55.200 --> 1:37:57.120 it's getting closer. So what you're you know, first it 1:37:57.280 --> 1:38:00.599 was our phone, then it's a wearable. You're already working 1:38:00.680 --> 1:38:03.519 on the internal stuff. And then if you do that, well, 1:38:03.680 --> 1:38:05.479 am I going to be able to be competitive? When 1:38:05.680 --> 1:38:08.120 you know, twenty people in my company have an AI 1:38:08.320 --> 1:38:11.280 chip and they're an executive c suite leadership because they've 1:38:11.320 --> 1:38:14.639 got speed and efficiency and knowledge that my human brain 1:38:14.720 --> 1:38:15.680 could never compete with. 1:38:16.720 --> 1:38:19.000 This is why I wrote code Read because this is 1:38:19.040 --> 1:38:21.519 all where it's going, and you got to understand all 1:38:21.640 --> 1:38:24.840 these different fault lines, all these different pressure points so 1:38:25.040 --> 1:38:27.120 that you can get yourself through this for you and 1:38:27.200 --> 1:38:29.880 your kids. But I will tell you the speed is 1:38:29.960 --> 1:38:31.599 what is freaking everybody out. 1:38:31.800 --> 1:38:34.920 You know, in the Industrial Revolution, the Industrial Revolution, you 1:38:34.960 --> 1:38:39.960 know you electricity, it took decades to wire the country, right, 1:38:40.040 --> 1:38:42.680 I mean, you know, or to pave the roads for 1:38:42.800 --> 1:38:45.160 the inner interstates. And I go through the history of that, 1:38:45.600 --> 1:38:48.280 I cite the time I show you all that. The 1:38:48.439 --> 1:38:52.479 reason why AI is different. Ninety one percent of people 1:38:52.560 --> 1:38:55.120 in America already have a phone, which is the delivery 1:38:55.160 --> 1:38:58.479 device of AI. So once you got that delivery device 1:38:58.600 --> 1:39:02.800 already baked in, the lightning speed with which you can 1:39:03.080 --> 1:39:06.240 make sure that that scales is very different than what 1:39:06.320 --> 1:39:08.439 we saw in the Industrial Revolution, So you could you 1:39:08.520 --> 1:39:11.040 had decades to sort of get used to and you know, 1:39:11.240 --> 1:39:15.000 upskill your skills and kind of learn how as factory 1:39:15.120 --> 1:39:17.760 and mechanization and all the you know, factory assemblies and 1:39:17.840 --> 1:39:18.040 so on. 1:39:18.720 --> 1:39:22.240 Now this is moving so fast. If you're not ahead, 1:39:22.320 --> 1:39:25.760 you're behind, and you've got to stay ahead. And that's 1:39:25.920 --> 1:39:28.280 again why you know the name of code read of 1:39:28.640 --> 1:39:30.040 this sort of alarm or alert. 1:39:30.760 --> 1:39:34.840 Well, we have not covered the waterfront here. We have 1:39:35.040 --> 1:39:38.559 not gotten into AI defense, which again could turn out 1:39:38.600 --> 1:39:40.439 to be a positive though with a lot of risk. 1:39:40.479 --> 1:39:40.879 Factors. 1:39:41.520 --> 1:39:44.479 I do want to get your opinions on AI Jesus, 1:39:44.600 --> 1:39:46.760 which we're seeing some AI Jesus pop up, we're seeing 1:39:46.760 --> 1:39:48.600 AI George Washington. I'm want to get your thoughts on 1:39:48.640 --> 1:39:51.200 some of that. And there's just a number of things 1:39:51.400 --> 1:39:55.400 that I feel like are both opportunities and are real 1:39:55.560 --> 1:39:57.840 deep risks about the moment that we're in with AI. 1:39:58.000 --> 1:40:00.599 But I will encourage everyone in the meantime to pick 1:40:00.720 --> 1:40:04.479 up a copy of Code Read and it is one 1:40:04.479 --> 1:40:05.720 of the books of the year, about the book of 1:40:05.760 --> 1:40:08.280 the year I think so far, and you will want 1:40:08.280 --> 1:40:10.160 to read it. You will probably want to share this 1:40:10.320 --> 1:40:12.760 with someone who you think might be in one of 1:40:12.800 --> 1:40:15.720 these industries that could see a lot of upheaval. This 1:40:15.880 --> 1:40:18.400 book might provide them comfort, it might scare them into 1:40:18.520 --> 1:40:19.479 doing something that. 1:40:19.720 --> 1:40:20.960 Could be productive for their lives. 1:40:21.360 --> 1:40:24.320 So it's a really essential This is an essential text 1:40:24.640 --> 1:40:26.519 from Winton Hall, who isn't just a friend, but is 1:40:26.560 --> 1:40:28.840 a brilliant person, as you guys have gotten to witness 1:40:28.880 --> 1:40:30.640 here of the last hour and a half. We're going 1:40:30.680 --> 1:40:33.120 to do this again Winton, probably sooner rather than later. 1:40:33.320 --> 1:40:35.800 So there's a lot more to do, I think on 1:40:35.880 --> 1:40:39.080 this subject matter. I really want you to introduce everyone 1:40:39.280 --> 1:40:42.639 to all the players in the space, both in terms 1:40:42.640 --> 1:40:45.519 of the companies and the individuals and where they're coming from, 1:40:45.640 --> 1:40:48.120 because they're going to be so involved in shaping our future. 1:40:48.200 --> 1:40:50.320 But if we opt out on this thing, this will 1:40:50.320 --> 1:40:52.479 be my final word. Then I'll give you the last word, Winton. 1:40:52.920 --> 1:40:55.360 If we opt out, then we are seeding the future 1:40:55.520 --> 1:40:59.080 to the masters of the universe only and the really activated, 1:40:59.600 --> 1:41:03.720 generally left of center entrepreneurial class that I feel like 1:41:04.280 --> 1:41:06.000 is a deep, deep risk. And so we got to 1:41:06.040 --> 1:41:10.000 get involved. And Winton is he's inviting you in showing 1:41:10.040 --> 1:41:12.120 you the water can be warm. I'm not saying it's 1:41:12.120 --> 1:41:14.479 the warmest ever, but it can be warm for you. 1:41:14.960 --> 1:41:16.720 Joe, you got to start. This is a great entry 1:41:16.760 --> 1:41:17.840 point into this book. 1:41:17.880 --> 1:41:20.679 And of course, when you spend two years on something 1:41:20.720 --> 1:41:22.160 like this, even if you feel like you know AI, 1:41:22.240 --> 1:41:24.439 you're gonna learn a lot too. I think from just 1:41:24.520 --> 1:41:27.320 hearing Wynton's perspective on all these things. But what did 1:41:27.320 --> 1:41:28.760 anything you want to leave the audience with for now? 1:41:29.479 --> 1:41:32.120 Oh, I thank you so much for that, and especially 1:41:32.200 --> 1:41:34.960 coming from an author like yourself, I will say this, 1:41:35.960 --> 1:41:39.240 you can learn this. Don't be afraid to think, oh, 1:41:39.320 --> 1:41:42.200 this is so complex and it's so beyond my understanding. 1:41:42.560 --> 1:41:45.400 The reason I wrote this is to be simple without simplistic, 1:41:45.640 --> 1:41:46.880 really to help people. 1:41:47.680 --> 1:41:49.679 Like I said, I didn't even want to write this book. 1:41:49.720 --> 1:41:52.160 I have a wonderful career and I love what I do. 1:41:52.439 --> 1:41:54.519 I felt like I needed to do this because I 1:41:54.640 --> 1:41:56.280 wanted to be a story I know how to be 1:41:56.320 --> 1:41:58.880 a storyteller, so I wanted to help people to really 1:41:59.000 --> 1:41:59.680 understand this. 1:42:00.720 --> 1:42:03.120 You don't have to have a specialized knowledge. 1:42:03.479 --> 1:42:05.120 I think most of you are going to find this 1:42:05.320 --> 1:42:08.479 is way more fascinating than you ever realized it was, 1:42:08.640 --> 1:42:12.479 and also consequential. I really think that we don't need 1:42:12.520 --> 1:42:14.760 to get into a doom loop. We don't need to 1:42:15.280 --> 1:42:19.000 just unilaterally disarm, certainly not conservatives. 1:42:19.040 --> 1:42:21.120 That that would be I think a disaster. I think 1:42:21.120 --> 1:42:23.200 we need to lean in. We need to lead, We 1:42:23.320 --> 1:42:24.280 need to get prepared. 1:42:24.439 --> 1:42:26.400 We need to know how to do what we always do, 1:42:26.479 --> 1:42:28.960 which is, you know, take personal responsibility for our family 1:42:29.280 --> 1:42:32.120 and for our communities and for our country, and make 1:42:32.200 --> 1:42:34.240 sure that we're ready to rock and roll with this 1:42:34.600 --> 1:42:36.799 and know how to be able to get the upside 1:42:37.000 --> 1:42:39.800 and avert the negative. But I think it's actually going 1:42:39.880 --> 1:42:41.640 to be a really important thing for you to do that, 1:42:41.800 --> 1:42:44.479 and I think you'll feel a lot more confident because 1:42:44.479 --> 1:42:46.160 I think so much of it is just fear, and 1:42:46.280 --> 1:42:47.920 people don't really know what's true and. 1:42:47.960 --> 1:42:51.680 What's hype and what's what's myth. So that's that's why 1:42:51.720 --> 1:42:53.040 I wrote Code Rat and I hope you enjoy it. 1:42:53.760 --> 1:42:55.519 And you will enjoy it. You will learn a lot. 1:42:55.680 --> 1:42:57.320 You are going to a really interesting world when you 1:42:57.360 --> 1:42:59.240 take on this book, but it's where we're all going to. 1:42:59.640 --> 1:43:02.439 Anyone she may as well be prepared. Thank you, Wenchen Haul, 1:43:02.520 --> 1:43:05.000 Thanks for Misty for putting this together, and all of 1:43:05.080 --> 1:43:07.000 you in the audience for telling ten thousand friends and 1:43:07.080 --> 1:43:09.519 family members about all the cool stuff we're doing on 1:43:09.560 --> 1:43:11.759 the Marlow Show. Make sure to subscribe. If you're not subscribed, 1:43:11.840 --> 1:43:13.720 please and I'll talk to you next time.