Sin Has Consequences: The Fall of Jensen Huang

[00:00:00] Foreign. [00:00:11] Welcome to Crisis Point. I'm Eric Sammons, your host, editor in chief of Crisis magazine. Before we get started, you know what to do. Hit the subscribe button, smash the like button, let other people know about what we're doing here. Also today is to let. November 3rd, 13th, 2026, is the last day of our little mini fundraiser we're doing right now where you can get a free copy of my book, the cataloguide to Artificial Intelligence, with a donation at least, I think $10 a month or 120 a year. [00:00:38] And today's last day. So go ahead and jump on in. Also, you can go to our website, crisismagazine.com and just subscribe to our newsletter. Subscribe to our email newsletter so you can know what's going on in the world of Crisis magazine. Okay, so let's go ahead and jump right into this. So the big story in, I mean, the business world, the AI world, the cultural, political world, I don't know what you want to call it, is the ouster of Jensen Huang, who is the. [00:01:09] He was the CEO of Nvidia. Now, this is not a tech podcast, and we're not going to get too deep into tech. But I do think this has a lot of consequences, and I think we should bring a Catholic perspective to it. I think it has consequences on all of our lives going forward. And I think when you talk about it, obviously, I think artificial intelligence is a big deal. I mean, I wrote a book about it. Go ahead. I'll have a link in the show, notes to how you can buy it. It is available. I can send it to you once I get your order. [00:01:40] But you also get it like Amazon and at Sophia Institute Press as well. But I do think it's a big deal. I think it is culture changing. I think it will have a greater impact than the Internet did and smartphones did. And I think we'd all agree that the Internet and smartphones both had a huge impact on our lives. Our lives, the totality of our lives. [00:01:59] This it was like, oh, yeah, the Internet, it's a tech product. [00:02:02] Smartphones, it's a tech product. AI, it's a tech product. Yeah. But guess what? It completely and radically changed how most of us live. [00:02:11] And so this has real implications for all of us. And so this story, which I want to start with, but I want to talk more about some other things related to it as well. [00:02:20] It's a big deal. So what happened was, is that if you don't know who Nvidia is, it's the Largest company in the world. It's worth like $4 trillion or something like that. [00:02:29] And it is by largest I mean most valuable, not necessarily most employees. And it was the dominant, is the dominant supplier of chips and all the software and everything that is related to the training and that run the frontier AI models. [00:02:46] And so it's a little quirk of AI history that the advances in AI almost came accidentally. What happened was certain computer chips were designed for graphics processors so that people could play video games better. [00:03:04] The typical CPUs didn't work that well, they weren't fast enough, they weren't good enough for the, the graphics processing. So you create GPUs, graphic processing units. But what happened was somebody realized about 15 years ago or so that wow, we can use these for AI to train AI. And it works great. And this made Nvidia, which was the dominant maker of these chips and everything, like I said, surrounding made them the most powerful company in the world really. [00:03:30] And Jensen Huang is the founder of it. He founded it in 1993 I think and he has run it and he's been, you know, one of the top AI leaders. But then all. So a week ago I would have said he's one of the most powerful people in the world. [00:03:46] Then like literally within a week it all falls apart for him. And I, I put this on X, but I'm going to say it again. It's amazing that if you just follow Catholic morality, the Ten Commandments, Catholic morality, not only will it help lead you to eternal life, but it's going to make your life here on earth a lot easier. [00:04:06] Unfortunately for Jensen Wong, that's not what happened. He had an affair. It came out that he had. He's a married man. He married his wife back in the 80s, before he even founded Nvidia, when they didn't have any money or anything like that. He's been married to her for 40 some, I think 41 years, something like that. [00:04:24] But he had an affair with a Chinese woman businesswoman who was part of a high ranking official at Mega Speed, I think it's called. [00:04:33] And there were rumors when this first came out. There were, there was accusations that she might be a Chinese spy, a spy for the Chinese Communist Party. [00:04:42] And then so this, this blew up. He admitted to an affair, Jensen admitted to an affair. [00:04:49] And then he, but then it came out that okay, he actually had an affair also with the VP of his own company. And now I think a third person has been identified that he's had an affair with. So obviously the Guy is not living a moral life. I mean, here's the thing. I think as Catholics, we all can very quickly say, this is not moral behavior. This is not acceptable. We don't like this. But we also have to acknowledge this is not uncommon, particularly among powerful men. It's known that Bill Gates had affairs. Elon Musk, of course, has had many relationships, we'll call them, with people, not his wife. [00:05:26] And so it's not like he's the first. Jensen Wong is the first person to. [00:05:32] To fall into this sin. [00:05:34] And it actually makes it a little bit questionable. Like, why was it. [00:05:38] Was it having any affairs that made him, all of a sudden, the board force him to basically resign, or was it the potential that he. [00:05:46] One of the women he had an affair with was a Chinese spy? [00:05:49] And this kind of brings up the whole. [00:05:54] The whole battle in the AI world between China and the United States, because it's like a space race. Like when we. We battled the. The. The Soviet Union back in the 60s, the space race to get to space. The AI battle is somewhat like that between the United States and China. [00:06:11] And so the. If, obviously, if a Chinese spy is sleeping with one of the most powerful men in the AI industry, I mean, the man who makes it, I mean, without Nvidia, we would not have artificial intelligence as we do today. [00:06:26] It would not be available to us. [00:06:29] Some people might say that's a good thing, but the point is, is Nvidia is kind of the. [00:06:34] They're the ones who create the shovels and the picks, you know, to use that analogy from the Gold Rush. [00:06:40] And so if it's true he had an affair with the Chinese spy, this is a big deal. [00:06:45] But there's a few problems. A few things have fallen apart in the story. First of all, there's been no evidence provided that this woman, her name is, I think, Alice Wong, same last name, but it's. They're not obviously not related. [00:07:01] Alice Wong? Yeah, she. There's no evidence that she actually is a Chinese spy. In fact, that whole narrative is kind of falling apart now. This might change. It's a fluid story. Perhaps some evidence will come out, but nobody has actually been able to show or prove that she's a Chinese spy. [00:07:21] And so that's raising some questions. If it was, you know, why would the board. [00:07:27] I mean, he resigned, but it's pretty clear the board probably, you know, forced him or at least pushed him to resign. [00:07:33] Why would the board ask? I mean, he is the Steve Jobs of this world. [00:07:38] Why would they ask him to resign? Over just an affair? [00:07:42] Because I know again, I'm not saying from a Catholic perspective, just an affair. Affair is awful, it's evil, it's a mortal sin. You will go to hell if you, if you do these, if you, if you commit an affair and you do not repent of it and go to confession. Okay, all that is true. But when we're talking in the business world, like I said, a lot of these top level executives have affairs. [00:08:04] And so the fact that they would get rid of one of the most powerful people in the industry, the, the man who's made them what they are, without him there is no Nvidia. [00:08:13] The fact that so quickly, within a week he resigns from all this coming out. [00:08:19] I personally think it doesn't add up. I personally think it just doesn't add up. [00:08:24] I think the reason I say this is because a couple things I think, okay, here's my conspiracy. I'm just gonna put on my conspiracy theory hat right now. [00:08:35] There is some in, in the AI world, there's what are called the open models and the closed models. There's open weights, closed weights all. I'm not going to get into details. It's somewhat similar to open source software and closed source software. The idea being, okay, with closed models, the company that runs the model. [00:08:53] So for example Anthropic, the company that runs Claude, they have complete control over what's under the hood and nobody can see what's under the hood. [00:09:02] So all their training data, all the things that they put in to make it so it responds the way it does. Nobody else can see that. They don't know what they did, they don't know how they do it. And so it keeps them obviously that there's a competitive advantage to that. [00:09:18] It also though they can control what's said, how, what's answered. You know, the safety protocols they put and stuff like that, the guardrails, nobody can really see it. [00:09:28] Whereas the open weight models that, that those are the models that are, are basically open to the world. There's two, a couple different levels. Again, I'm not gonna get into details here, the technical details, but the point being that in the open weight models, basically it's open source. You can see the training data, you can see everything. You can use it yourself. [00:09:48] You can like create an LLM, a chatbot on your local computer and you know, you can run it. And so there's open models and the advantage of those is obviously that anybody could download them themselves, install them, configure them, change them, like let's say you want an AI. This is what's happened for example with some of the like specific AIs, like the Catholic AI that will, that will look through the catechisms or something like that. Often they're using these open weight models to basically grab that and then they train it specifically for what they wanted to say and how they want to answer. Like for example, you cannot contradict Catholic teaching or something like that. [00:10:29] And so those models are, are, are they are primarily developed. And in China it's, it's somewhat of an irony that America, the land of the free, is the home of all the closed proprietary models. And China, the oppressive communist run country, is home of the open models. [00:10:53] But that's just the way it is. But a lot of people in America advocate for the open models because of privacy, freedom, things like that. You could create your own model. Like I could actually install a model, an open weight model here at my, my home network. I could interact with it all time. It would not be as good as Claude or something like that, but it would be pretty good. [00:11:12] And none of my data, none of my information I put into the chatbot would go to this company. Because when you, obviously when you chat with somebody, if you tell them, you know, I'm a, a 29 year old woman and I'm, I'm, I'm, I'm suffering from depression, well guess what, the, if you tell that to Claude, anthropic knows it now, what they do with it, you know, we could argue, we could, we could debate, we don't know for sure. But if you do it to your own open model that you've configured on your own local device, it doesn't go to anybody, it stays locally. [00:11:44] And so many people in America advocate for more access. Open mouse. Here, let me give you an example how open models really do help in real life. A couple months ago there was a major hack of a bitcoin wallet called cold card. And people were able to, hackers were able to drain funds from these wallets. Again, it was not a hack of Bitcoin itself as a hack of a specific bitcoin wallet. [00:12:09] And what happened was, is a lot of bitcoiners realized, okay, we need to protect, we need to make sure no other wallets are having these problems. So we need to, and it was. And so we need to use AI models to basically stress test all the different wallets out there, all the different bitcoin software to make sure that this doesn't happen again. [00:12:30] The problem was they were running into roadblocks when they tried to use the American closed models like Claude or OpenAI. Claude's really the, the top tier one in this category of cybersecurity coding. [00:12:42] Claude would basically say no, you can't do that because they don't know if you're a hacker or not. So they're just like, hey, we're not allowing you to try to access the vulnerabilities of this software because you could be a hacker, you could be using to steal from people. Now there are ways you can get permission from Anthropic, kind of prove who you are, that you're a white hack, a white hat hacker, stuff like that. You're not doing anything for this for bad and stuff like that. But basically these guys were trying to test all, you know, to stress test all these different wallets and software. They kept running into roadblocks that their, their LLM kept telling no, I'm not going to let you do that. [00:13:19] So you know what they did? They downloaded the, the, the open source ones from China and they used them and they used them and they were able to, because they didn't have any of those restrictions. And so they're able to clean up and, and protect a lot of people's funds and, and wallets and, and software and stuff like that because they're able to use it. So you can see advantages and I understand there's some disadvantages or advantages to these open weight miles. The point of all this, why'd I go down this whole path? Because Jensen Wong, the, the former CEO of Nvidia was one of the top proponents of the open weight models, of the open source models. He was one of the top proponents of it. He was, he was an advocate for it. [00:14:02] And so people like the, like Dari Amade or Sam Altman who run Anthropic and OpenAI respectively, they weren't really proponents of it. And so the question and, and the American government in a lot of ways isn't really for it. [00:14:17] So the question is, is did Jensen Wong get kind of ousted on these pretenses of the affairs and especially the, the potential for a affair with a Chinese spy or what basically was it to try to get rid of one of the strongest voices and most powerful voices in America for these open that I mean you could, the conspiracy could go two ways or go both. So that maybe the conspiracy is, is between. Behind the people behind the conspiracy are people like Darren Amade and people at Anthropic or people at OpenAI because they want to make sure they control the market with their closed source models. Maybe, maybe it's the American government because they want to make sure they, if they can control, if they control anthropic and open AI through, through laws and pressure and things like that, they all, they can control the AI market better. And they wouldn't allow it, wouldn't allow for people to kind of be free to do things what they want with these LLMs. [00:15:16] Maybe it's a combination of two. Maybe this is all conspiracy, it's got nothing behind it. I don't know. It just seems fishy to me. It just seems fishy to me that one of the most powerful men in the world was taken down so quickly and on pretenses that were kind of shaky at this point. Yes, we know he's had affairs, we know he's admitted to at least one of them. It's likely, you know, there's pictures of like him, you know, with another woman and stuff like that. So I, I, you know, we know that part but that doesn't seem to be enough to bring him down. That alone. So I, I wonder if there's more to it than that. I wonder if some more to it than that. And it's, this could be a major impact on the industry because Nvidia, they just appointed this woman who was the cfo. That's not a good move to, to appoint like the CFO a bean counter, a number cruncher, you know, as, as the, as the new head. [00:16:03] It's obviously not visionary that they're picking. [00:16:06] So I just think, I'm not, I'm not here to defend Jensen Wong. I'm just here to simply say I think there's something going on here that beyond what we're seeing in, in the main news, the main news stories. And so here's the thing is two things I want to kind of, kind of lessons I think we want to talk about here or like consequences. One is sin is bad. [00:16:33] It has consequences. Sin has consequences in this life. It obviously has consequences in the eternal life, but it has consequences in this life. [00:16:43] You know, it was like in this case, Jensen Wong, obviously a victim of his affairs is the primary, is his wife, there's no question about that. She's the victim of this. [00:16:53] At the same time it's going to have a huge impact, a potentially negative, a huge negative impact on the world because he just couldn't exercise self control. He just couldn't be faithful to his wife who by all accounts has been faithful to him, was with him when he was poor, has been with him through the whole rise, stuck with him and all that. [00:17:16] But, you know, and so I think this is a lesson reminded all of us that, you know, sin is a terrible thing and you should avoid all cost. It's, it's bad. [00:17:26] I also think, though, what I want to kind of lead into is something else I want to talk about a little bit in this area of artificial intelligence, and that is I, I don't think people realize what's been happening over the last few months. [00:17:40] So my book on category artificial intelligence, I started writing it in May of 2025, and I wrote it took about a year. I finished, I turned in publisher in July, in end of June, early July of 2026, and it just was published, you know, this week, basically. [00:18:00] And I made sure when I wrote the book that I wasn't trying to be a primer on what's going on right now. It was more of, okay, let's look at the foundations of artificial intelligence. Let's make sure we understand what's happened, the history of it, how it works, what, what it does now. But more not like, okay, what's the latest? Because I knew a book can never do that. You cannot do that in a book. It advances radically. [00:18:23] But even I was not prepared. And I still think my book, by the way, it's. I think it's going to keep for a while. I don't think it's something where it's like in a year. It's outdated because it's not trying to say what the latest is or anything like that, or even predict the future as much as it's saying, okay, what are the foundations, the philosophical, technical, theological, anthropological foundations of this AI movement. [00:18:46] That being said, though, I have been shocked. I, who follow AI very closely, have been using AI, various forms for years now. [00:18:54] I have been shocked over what's happened in the past couple months. The advances. I think people are, I think people have missed it. I think here's the thing. Most people, their interaction, their known interaction with AI, like they use AI more than they think, under the hood, and they don't even realize it. But their main interaction with AI is two in two ways. One is with a chat bot like ChatGPT, asking a question, basically using it to replace Google and maybe having some conversations with it and maybe creating a few funny gifs or images or something like that. [00:19:29] And two, there's the AI slop they see online. [00:19:32] You know, the videos which are getting better and better. The, the, the posts that are clearly written by AI and the whole AI cadence And ticks and all that stuff. And so that's what they think AI is. And it's really, if you think about it, it's not that impressive. I mean at first it was when it came out in November 2022, this, this, the LLMs, like the Chat GPT, it was like, wow, it's pretty cool what it can do. It's pretty amazing. [00:19:56] But it wasn't that impressive. When you really sat down and looked at it. It had a lot of problems and people just still see that. [00:20:03] The problem, the issue though is, is that AI has particularly the, the LLMs, the large language models which are the backbone of AI, the AI movement today. There's other types of course, but it has gone through a radical self improvement over the next, over the last few months and, and it's going to continue and exponentially get better. [00:20:24] And I do say self improvement. Notice I said self improvement. [00:20:28] Because what's happening is what's called recursive self improvement rsi and what that means is the AI is improving itself. And this has been the prediction for years by these AI gurus, these techno bros and stuff like that for years is that what will happen is AI itself will improve, will improve itself and it will start improving so at a rate that we can't keep up with. And they call this a singularity. [00:20:55] Well, I don't believe in the singularity, as they would say. I don't think you should either. I think there's a lot of materialism and like some atheism involved in that. But the idea of AI improving itself is already here. [00:21:09] If you look at the numbers at Anthropic, for example, Claude, the compute. They use computes. The term that you just means that they're using processing power to do things. [00:21:20] They're using more and more compute in house claw Anthropic is. And they're using it to improve Claude. What that means is they're using Claude to improve claude. [00:21:32] They're getting CLAUDE to code and program itself to get better. [00:21:38] And it is getting better. If you have not used like for example, if you have not used one of these agent AIs like Rockbot. If you have not used something like Rockbot, you don't understand how good AI has gotten, how much further it is along than just oh, I asked it a question, it can answer me like Google could. [00:21:58] If you, if you've not used something like Rockbot, you don't understand how much it's improved and how much it can do. It can do so much that it couldn't do just a couple months ago, I think Grockbot came out in August and there's some other, there's competitors like Metamuse and, and I think Claude Duet I think it's called and, and OpenAI's dots. [00:22:19] These programs, they, they are like super employees you have working for you all day, all the time and they just can, and they just get things done. If there's something you want to get done on a computer, they can do it for you. They can order things from, from online for you. They can, they can update a spreadsheet, they can email, they can, you know, all these different, they can do mass amounts of research, they can coordinate like let's say you have a million files in your, in your Dropbox or something like that. They can organize it within minutes and it makes sense. I mean all these things they can do and it really is quite amazing. And they, and I'm sorry, they don't make mistakes anymore. Hardly. Obviously they make some mistakes every once in a while, but the whole idea that they, they give like bad answers to things, it just isn't true anymore. If people say that, that means either they're using it wrong or they're using old models. The latest models make very few mistakes. Very few mistakes. I mean I have been running Grockbot for a while now and, and it just, I mean the only thing it does sometimes that that is a quote unquote mistake is when it doesn't think it can do something, but it actually can. I have to tell no, you actually can do that and it does it, but it just doesn't make mistakes. And I think we need to realize that these, the coding, the improvement is going to have massive consequences for our society. And I know we think about like the jobs law, stuff like that and we've talked about what's going to happen in the future. [00:23:44] I don't think here's where I differ from a lot of these. The tech bros and they're talking about how it improves and stuff like that. Like I see what they do, they make this leap, they say, okay, we, we see the tech and we see how advanced it is and we see that it's literally getting better almost every single day. [00:24:02] And so therefore our conclusion is in six months or in a year, everybody's jobs are gone. [00:24:09] I think that jump is not one that is necessarily true because they're not taking in the human factor of people just don't always want to use it. [00:24:21] Like just because you can use Grokbot for example, to do something instead of an assistant or yourself doesn't mean you will there. It still has to be sold on people that they actually think it's worthwhile. And I also think people don't recognize the tech bros particularly. They don't recognize how much humans are involved in the processes that are even done on a computer and how many jobs are, are not computer based, like completely. I mean like a waitress at a restaurant isn't getting replaced anytime soon. Now it is true that like you know, you have the kiosks at McDonald's and things like that that have replaced people, but there's still something people want to sit down and be waited on by a human. And that's just one example. And there's just so many small companies and medium sized companies that yeah, they'll, they'll dabble in AI, they'll do it to help themselves, but they do it so that they can improve their own, their company, not so they can get rid of people. [00:25:20] I think that's actually the difference between a good company leader like a CEO or ever and a president. And a bad one is a bad one would say look at AI and say oh good, I can replace my employees. [00:25:33] A good one would look at AI and say oh good, I can. These can help my employees work better, do a better job, get more done without like overwhelming them. It can take away the jobs they hate so they can do the jobs they love. And that's one of the, that's really the line I, I think is the most important when it comes to AI is like it can do the grunt work on a spreadsheet. [00:25:54] It can do the grunt work of like organizing your files and stuff like that very well. Stuff that frankly most of us don't want to do. It's not really that human of a job a task anyway so that we can do things that we really enjoy doing, like for example, writing or, or whatever the case may be. [00:26:13] And so I think this is something that people need to realize though that like, although I don't agree with, people say all of a sudden all the jobs are going to be gone tomorrow. I do think, okay, there's a couple, there's different movies that do this. You know the scene where all of a sudden somebody realizes that the world has changed but the whole world doesn't know it yet. I think there's a scene. What's that? I think the movie's called Margin Call. It's about the 2008 financial collapse. [00:26:39] And there's a scene I think I could be totally messing up the where I got this from, but I'm pretty sure it's in Margin Call where a guy is driving around in the city in the cab. He knows that like basically everything just went to, you know what, in the financial world, this is 2008 and he knows it and he looks out and he sees everybody just kind of hanging out, walking around. He's like, they don't realize what's happened. They don't realize that the world has changed under them. And they don't see it. But I know it right now. They're going to find out. [00:27:06] I'll be honest, I kind of feel like that a little bit. I kind of feel like that right now. I feel like I've, I've seen and I don't, I'm not like some expert on the level of like, you know, some of the tech bros in Silicon Valley, but I've seen enough to know it's going to have a huge impact on all of us. And I think we need to be prepared for that. And much faster than we think it. Much faster than we think. Because like I said, the advances over the last couple months have been astounding. They've been just astounding. I mean, I just can't use another word because it just, it's so much better than it was just recently. [00:27:44] And it, like I said, it's recursively self improving. [00:27:47] And so I think that we need to recognize this. [00:27:52] And so like, does this mean the singularity is going to happen? No, I mean the singularity, it means a lot of things to different people. It has very religious undertones. That's why I think it's important, that's why I talk about it. [00:28:05] It's this idea that the machines take over because they get so advanced, so intelligent, so much beyond our intelligence that they basically they rule us. And I'm seeing this on X, you know, people posting like it's going to happen here soon. [00:28:18] Here's the problem. I do think, I mean, it's kind of funny because I'm almost saying things that sound contradictory in a way, but I don't think they are. [00:28:26] On the one hand, AI is advancing and becoming more and more intelligent on levels that we just are unheard of and ways that we don't really understand. [00:28:36] On the other hand, when I say intelligent, I'm still intelligence. I'm still limiting it to a very small slice of what intelligence really is, what human intelligence is. Like I said, AI can be a whiz on the spreadsheet. [00:28:51] It can even give ideas and outlines and things like that for various things. It can even produce works of images and music. That's not terrible. I know people have a bias against it and I kind of do too. But we have to acknowledge it's better than a lot of stuff that humans put out at times. [00:29:11] All that being said though, it doesn't have certain forms of intelligence that are so important. I wrote an article about this by a month or so ago. Like, for example, it doesn't have the type of intelligence of like the, the. The. Like physical intelligence. Like the, the. The. The basketball player who understands just by seeing things how, how the basketball court operates also doesn't have like the social intelligence, like being in a room and understanding the mood of the room. I mean, that's not something that like you could set a comp. A robot with, with Chachi PT running or whatever. Claude running in a room and it wouldn't sense the mood of the room. Like, like a human can. That's unspoken and all these different types of intelligence. So that's why I don't think, I don't believe it might be far more intelligent, super intelligent even than the average human on a number of important tasks. But that doesn't mean it's actually more intelligent overall and has the ability to take over. Think about, if you think about who. The dictators in history who have taken over society. Okay, let's just use Adolf Hitler. He's kind of the, the. The prime example. Adolf Hitler wasn't like the smartest guy in the room. He wasn't the most intelligent. [00:30:26] But when it comes to like, you know, math or science or something like that. However, his intelligence in certain areas was through the roof. Like the charisma, the ability to control others, the ability to kind of bring others on board with what he was preaching, what he was saying. [00:30:44] That type of intelligence he had was through the roof. [00:30:47] That's the kind of intelligence that is needed for like a takeover. And there's no evidence whatsoever that AI has even a modicum of that type of intelligence. At least not yet. And I don't think anytime soon because I think that's the type of intelligence you can't program. [00:31:03] That's the type of intelligence that isn't. [00:31:06] That you can't get from scraping the Internet. You can read about the fact that Hitler was this charismatic figure who could control the masses and all this stuff. He had that type of intelligence, but you can't actually know what that is. Like. I can, I could, I could study somebody like Hitler or Napoleon or Stalin or Whoever my whole life. It doesn't mean I would have that ability that they had to control the masses like they did to lead a movement, to get people to follow me. [00:31:38] No matter how much I say it's innate in, in certain, in certain humans. And because it's innate, it's not something you can learn by reading over the Internet or studying it. I, so I just don't think AI will ever have that. [00:31:52] So again, AI is advancing rapidly and I think it's becoming, there's certain dangers that are becoming more and more real, but not this idea of a singularity where they just take over the AI takes over the world. [00:32:06] And so I think, you know, I had a bunch of notes here that was explaining exactly the direction, the details of how it's advanced. But it doesn't matter. Just, just trust me on this, bro. [00:32:17] It's gotten a lot better. [00:32:19] And so I think that the, all the predictions that the Singularity people, the tech bros, people like that have been making over the years, a lot of them are coming true. They're happening and they're happening in a time frame that was kind of predicted as well. [00:32:37] AI is self improving. It is doing this the correct, you know, it is getting better and better on its own basically. [00:32:47] Yet their conclusion, they reach that that means the world they picture. Because of that, I don't think that's what's going to happen. I don't think that's what's going to happen. [00:32:58] So I, I would say though that what's highly important, what is greatly important in my mind, and this is why I wrote the book, I saw this, you know, a couple years ago coming down the pike and now it's happening. And I wrote the book because I think Catholics had to be at the forefront of the movement and I think Pope Leo is doing an excellent job in this, in this asp, in this specific field of AI, of warning of the dangers of making sure. I, I, I was being interviewed about the book the other day and I, I said that if you think about Pope Leo's leading a human first movement, you know, you have your America first, he's leaning a human first movement. Now, a human first movement is not anti technology. [00:33:43] There are ways technology helps humanity. And the Pope would say let's do, let's use those. And I would agree, let's use those. [00:33:51] But human first means simply that we think about the consequences to humanity, the, the advantages and disadvantages of a new technology, technological tool, before we just haphazardly open it to the world. [00:34:07] We try to. We put in safeguards. We understand there are. There should be limitations on what these products can do, what these tools can do. [00:34:15] Humans come first. [00:34:17] We don't throw out, you know, Grokbot. We don't throw out the AIs. We don't throw out all this stuff. [00:34:23] We use them for good. We use them for good. And I think Catholics need to be the ones who are pounding the drum on this, because the fact that we have the better anthropology, we have the better philosophy, we have the better theology to understand some of the aspects of what some of the AI leaders are trying to push us towards, a world they're trying to push us towards, which we don't want to go down. [00:34:45] Okay, I think I've beat this drum a little bit. Beat the horse, whatever the analogy is, the metaphor is. But I just would say that, you know, be part of this, be part of the movement, the AI movement, in, in keeping it in check, what needs to be kept in check, and using it when you want to use it. And I, I do think I'm. Yes, I'm doing self promotion. I don't care. Because I wrote the book to help people and I hope it does help people. So I would, I would encourage you buy my book. [00:35:10] You can buy it at my website, a signed copy. You can also buy it at Sophia Institute Press, you can buy it at Amazon. [00:35:17] And you know, it will help you then navigate this AI world we're going to live in. It's going to be the dominant issue of the next year, next two years. It's going to radically change a lot of things in our world, and we need to be ready for it. So hopefully this, my book, will be a small part in preparing us, but also in molding the world we end up living in. Okay, I'm going to cut it out there until next time, everybody. God love you. And remember, the poor.