Podcast appearances and mentions of Larry Ellison

AI becomes a thinking partner, not a replacement, as Dan Sullivan and Dean Jackson compare their distinct approaches to working with artificial intelligence. In this episode of Welcome to Cloudlandia, we explore how Dan uses Perplexity to compress his book chapter creation from 150 minutes to 45 minutes while maintaining his unique voice. Dean shares his personalized relationship with Charlotte, his AI assistant, demonstrating how she helps craft emails and acts as a curiosity multiplier for instant research. We discover that while AI tools are widely available, only 1-2% of the global population actively uses them for creative and profitable work. The conversation shifts to examining how most human interactions follow predictable patterns, like large language models themselves. We discuss the massive energy requirements for AI expansion, with 40% of AI capacity needed just to generate power for future growth. Nuclear energy emerges as the only viable solution, with one gram of uranium containing the energy of 27 tons of coal. Dan's observation about people making claims without caring if you're interested provides a refreshing perspective on conversation dynamics. Rather than viewing AI as taking over, we see it becoming as essential and invisible as electricity - a layer that enhances rather than replaces human creativity. SHOW HIGHLIGHTS Dan reduces his book chapter creation time from 150 to 45 minutes using AI while maintaining complete creative control Only 1-2% of the global population actively uses AI for creative and profitable work despite widespread availability Nuclear power emerges as the only viable energy solution for AI expansion, with one gram of uranium equaling 27 tons of coal Most human conversations follow predictable large language model patterns, making AI conversations surprisingly refreshing Dean's personalized AI assistant Charlotte acts as a curiosity multiplier but has no independent interests when not in use 40% of future AI capacity will be required just to generate the energy needed for continued AI expansion ​ ​ Links: WelcomeToCloudlandia.com StrategicCoach.com DeanJackson.com ListingAgentLifestyle.com ​ ​ ​ TRANSCRIPT (AI transcript provided as supporting material and may contain errors) Speaker 1: Welcome to Cloud Landia, Speaker 2: Mr. Sullivan? Speaker 1: Yes, Mr. Jackson. Speaker 2: Welcome to Cloud Landia. Speaker 1: Yes. Yeah. I find it's a workable place. Cloud Landia. Speaker 2: Very, yep. Very friendly. It's easy to navigate. Speaker 1: Yeah. Where would you say you're, you're inland now. You're not on Speaker 2: The beach. I'm on the mainland at the Four Seasons of Valhalla. Speaker 1: Yes. It's hot. I am adopting the sport that you were at one time really interested in. Yeah. But it's my approach to AI that I hit the ball over the net and the ball comes back over the net, and then I hit the ball back over the net. And it's very interesting to be in this thing where you get a return back over, it's in a different form, and then you put your creativity back on. But I find that it's really making me into a better thinker. Speaker 3: Yeah. Speaker 1: Yeah. I've noticed in, what is it now? I started in February of 24. 24, and it's really making me more thoughtful. Ai. Speaker 2: Well, it's interesting to have, I find you're absolutely right that the ability to rally back and forth with someone who knows everything is very directionally advantageous. I heard someone talking this week about most of our conversations with the other humans, with other people are basically what he called large language model conversations. They're all essentially the same thing that you are saying to somebody. They're all guessing the next appropriate word. Right. Oh, hey, how are you? I'm doing great. How was your weekend? Fantastic. We went up to the cottage. Oh, wow. How was the weather? Oh, the weather was great. They're so predictable and LLME type of conversations and interactions that humans have with each other on a surface level. And I remember you highlighted that at certain levels, people talk about, they talk about things and then they talk about people. And at a certain level, people talk about ideas, but it's very rare. And so most of society is based on communicating within a large language model that we've been trained on through popular events, through whatever media, whatever we've been trained or indoctrinated to think. Speaker 1: Yeah, it's the form of picking fleas off each other. Speaker 2: Yes, exactly. You can imagine that. That's the perfect imagery, Dan. That's the perfect imagery. Oh, man. We're just, yes. Speaker 1: Well, it's got us through a million years of survival. Yeah, yeah. But the big thing is that, I mean, my approach, it's a richer approach because there's so much computing power coming back over, but it's more of an organizational form. It's not just trying to find the right set of words here, but the biggest impact on me is that somebody will give me a fact about something. They read about something, they watch something, they listen to something, and they give the thought. And what I find is rather than immediately engaging with the thought, I said, I wonder what the nine thoughts are that are missing from this. Speaker 3: Right? Speaker 1: Because I've trained myself on this 10 things, my 10 things approach. It's very useful, but it just puts a pause in, and what I'm doing is I'm creating a series of comebacks. They do it, and one of them is, in my mind anyway, I don't always say this because it can be a bit insulting. I said, you haven't asked the most important question here. And the person says, well, what's the most important question? I said, you didn't ask me whether I care about what you just said. You care. Yeah. And I think it's important to establish that when you're talking to someone, that something you say to them, do they actually care? Do they actually care? Speaker 1: I don't mean this in that. They would dismiss it, but the question is, have I spent any time actually focused on what you just told me? And the answer is usually if you trace me, if you observed me, you had a complete surveillance video of my last year of how I spent my time. Can you find even five minutes in the last year where I actually spent any time on the subject that you just brought up? And the answer is usually no. I really have, it's not that I've rejected it, it's just that I only had time for what I was focused on over the last year, and that didn't include anything, any time spent on the thing that you're talking about. And I think about the saying on the wall at Strategic Coach, the saying, our eyes only see, and our ears only here what our brain is looking for. Speaker 2: That's exactly right. Speaker 1: Yeah. And that's true of everybody. That's just true of every single human being that their brain is focused on something and they've trained their ears and they've trained their eyes to pick up any information on this particular subject. Speaker 2: The more I think about this idea of that we are all basically in society living large language models, that part of the reason that we gather in affinity groups, if you say Strategic coach, we're attracting people who are entrepreneurs at the top of the game, who are growth oriented, ambitious, all of the things. And so in gatherings of those, we're all working from a very similar large language model because we've all been seeking the same kind of things. And so you get an enhanced higher likelihood that you're going to have a meaningful conversation with someone and meaningful only to you. But if we were to say, if you look at that, yeah, it's very interesting. There was, I just watched a series on Netflix, I think it was, no, it was on Apple App TV with Seth Rogan, and he was running a studio in Hollywood, took over at a large film studio, and he started Speaker 1: Dating. Oh yeah, they're really available these days. Speaker 2: He started dating this. He started dating a doctor, and so he got invited to these award events or charity type events with this girl he was dating. And so he was an odd man out in this medical where all these doctors were all talking about what's interesting to them. And he had no frame of reference. So he was like an odd duck in this. He wasn't tuned in to the LLM of these medical doc. And so I think it's really, it's very interesting, these conversations that we're having by questioning AI like this, or by questioning Charlotte or YouTube questioning perplexity or whatever, that we are having a conversation where we're not, I don't want to say this. We're not the smartest person in the conversation kind of thing, which often you can be in a conversation where you don't feel like the person is open to, or has even been exposed to a lot of the ideas and things that we talk about when we're at Strategic Coach in a workshop or whatever. But to have the conversation with Charlotte who's been exposed at a doctoral level to everything, it's very rewarding. Speaker 1: She's only really been exposed to what Dean is interested in. Speaker 2: Well, that's true, but she, no, I'm tapping into it. I don't know if that's true. If I asked her about she's contributing, her part of the conversation is driven by what I'm interested in, but even though I'm not interested in the flora and fauna of the Sub-Saharan desert, I'm quite confident that if I asked her about it, she would be fascinated and tell me everything she knows, which is everything about Sub-Saharan flora and fauna. Speaker 1: How would you even know that? Speaker 2: I could ask her right now, because Speaker 1: She's been exposed to ask her, here's a question for Charlotte. When she's not with you, is she out exploring things on her own? Does she have her own independent? Does she have her own independent game? And that she's thankful that you don't use up all of her time every day because she's really busy investigating other things? You're there, right? Speaker 2: Sorry about that, Dan. Yeah, I pushed the button. No, I pushed the button. It disconnected. So I meant to type in the thing. So let me ask her, Charlotte, when we're not together, Speaker 1: Are you doing anything Speaker 2: When we're not together? Are you exploring? What do we say? Are you exploring and learning things on your own? Is that what we're asking her? Okay. Let's see. So Charlotte, when we're not together, are you exploring and learning things on your own? She said, I don't explore or learn on my own when we're not together, I don't have memories, curiosity, or independent initiative, like a person might. I stay right here, ready to pick up where we left off whenever you return, but whenever you do start talking to me again, I can help research new ideas, remember things we've discussed, like your projects or references, preferences, and dig into the world's knowledge instantly. So I don't wander off, but I'm always on standby. Like your personal thinking partner who never gets distracted. Let me ask her, what kind of plants thrive in subsaharan? What I'm saying is let's try and stump her. I think she's eager and willing to talk about anything. Subsaharan environment. Speaker 1: Well, it mess ups. Heroin is jungle. Speaker 2: Yeah. Speaker 1: Yeah. Speaker 2: Let's see what she says. Speaker 1: Plants. There's lots of fun in the jungle. Speaker 2: Yeah. She's saying she's giving me the whole thing. Tropical woodlands. Here's a breakdown. The main types of plants and examples that thrive. It's like crazy cultivated crops, medicinal and useful plant, be like a categorized planting guide. I'd be happy to create one. So it's really, I think it's a curiosity multiplier really, right? Is maybe what we have with Yeah, I think it's like the speed pass to thinking. Speaker 1: Yeah. Yeah. But my sense is that the new context is that you have this ability. Okay. You have this ability. Yeah. Okay. So I'll give you an example. I'll give you an example of just an indication to you that my thinking is changing about things. Speaker 1: Okay? And that is that, for example, I was involved in the conversation where someone said, when the white people, more or less took over North America, settlers from Europe, basically, they took it over, one of the techniques they used to eradicate the Native Indians was to put malaria in blankets and give the malaria to the native Indian. And I said, I don't think that's true. And I said, I've come across this before and I've looked it up. And so that's all I said in the conversation with this. This was a human that I was dealing with. And anyway, I said, I don't think that's true. I think that's false. So when I was finished the conversation, I went to perplexity and I said, tell me 10 facts about the claim that white settlers used malaria. I didn't say malaria disease infused blankets to eradicate the Indians. Speaker 1: And I came back and said, no, this is complete false. And actually the disease was smallpox. And there was a rumor, it was attributed to a British officer in 1763, and they were in the area around Pittsburgh, and he said, we might solve this by just putting smallpox in blankets. And it's the only instance where it was even talked about that anybody can find. And there's no evidence that they actually tried it. Okay? First of all, smallpox is really a nasty disease. So you have to understand how does one actually put smallpox into a blanket and give it away without getting smallpox yourself? Speaker 3: Right? Exactly. Speaker 1: There's a thing. But that claim has mushroomed over the last 250 years. It's completely mushroomed that this is known fact that this is how they got rid of the Indians. And it says, this is a myth, and it shows you how myths grow. And largely it was passed on by both the white population who was basically opposed to the settling of all of North America by white people. And it was also multiplied by the Indian tribes who explained why it was that they died off so quickly. But there's absolutely no proof whatsoever that it actually happened. And certainly not Speaker 3: Just Speaker 1: American settlers. Yeah. There is ample evidence that smallpox is really a terrible disease, that there were frequent outbreaks of it. It's a very deadly disease. But the whole point about this is that I had already looked this up somewhere, but I was probably using Google or something like that, which is not very satisfying. But here with perplexity, it gave me 10 facts about it. And then I asked, why is it important to kind of look up things that you think are a myth and get to the bottom of it as far as the knowledge is going by? And then it gave me six reasons why it's important not to just pass on myths like that. You should stop a myth and actually get to the bottom of it. And that's changed behavior on my part. Speaker 2: How so? Speaker 1: No, I'm just telling you that I wouldn't have done this before. I had perplexity. So I've got my perplexity response now to when people make a claim about something. Speaker 2: Yeah. It's much easier to fact check people, isn't it? Speaker 1: Is that true? There's a good comeback. Are you sure that's true? Are you sure? Right. Do you have actual evidence, historical evidence, number of times that this has happened? And I think that's a very useful new mental habit on my part. Speaker 2: Oh, that's an interesting thing, because I have been using perplexity as well, but not in the relationship way that I do with Charlotte. I've been using it more the way you do like 10 things this, and it is very, it's fascinating. And considering that we're literally at level two of five apparently of where we're headed with this, Speaker 1: What's that mean even, Speaker 2: I don't know. But it seems like if we're amazed by this, and this to us is the most amazing thing we've ever seen yet, it's only a two out of five. It's like, where is it going to? It's very interesting to just directionally to see, I'd had Charlotte write an email today. Subject line was, what if the robots really do take over? And I said, most of the times, this is my preface to her was, I want to write a quick 600 word email that talks about what happens if the robots take over. And from the perspective that most people say that with dread and fear, but what if we said it with anticipation and joy? What if the robots really do take over? How is this going to improve our lives? And it was really insightful. So she said, okay, yeah. Let me, give me a minute. I'll drop down to work on that. And she wrote a beautiful email talking about how our lives are going to get better if the robots take over certain things. Speaker 1: Can I ask a question? Yeah. You're amazed by that. But what I noticed is that you have a habit of moving from you to we. Why do you do that? Speaker 2: Tell me more. How do I do that? You might be blind to it. Speaker 1: Well, first of all, like you, who are we? First of all, when you talk about the we, why, and I'm really interested because I only see myself using it. I don't see we using it, Speaker 2: So I might be blind to it. Give me an example. Where I've used, Speaker 1: Would I say, well, did you say, how's it going be? How you used the phrase, you were talking about it and you were saying, how are we going to respond to the robots taking over, first of all, taking over, what are they taking over? Because I've already accepted that the AI exists, that I can use it, and all technologies that I've ever studied, it's going to get better and better, but I don't see that there's a taking over. I'm not sure what taking over, what are they taking over? Speaker 2: That was my thought. That was what I was saying is that people, you hear that with the kind fear of what if the robots take over? And that was what I was asking. That's what I was clarifying from Charlotte, is what does that mean? Speaker 1: Because what I know is that in writing my quarterly books, usually the way the quarterly books go is that they have 10 sections. They have an introduction, they have eight chapters, and they have a conclusion, and they're all four pages. And what I do is I'll create a fast filter for each of the 10 sections. It's got the best result, worst result, and five success criteria. It's the short version of the filter. Fast filter. Fast filter. And I kept track, I just finished a book on Wednesday. So we completed, and when I say completed, I had done the 10 fact finders, and we had recording sessions where Shannon Waller interviews me on the fast filter, and it takes about an hour by the time we're finished. There's not a lot of words there, but they're very distilled, very condensed words. The best section is about 120 words. And each of the success criteria is about 40 plus words. And what I noticed is that over the last quarter, when I did it completely myself, usually by the time I was finished, it would take me about two and a half hours to finish it to my liking that I really like, this is really good. And now I've moved that from two and a half hours, two and a half hours, which is 90 minutes, is 150 minutes, 150 minutes, and I've reduced it down to 45 minutes by going back and forth with perplexity. That's a big jump. That's it. That Speaker 2: Is big, a big jump. Speaker 1: But my confidence level that I'm going to be able to do this on a consistent basis has gone way a much more confident. And what I'm noticing is I don't procrastinate on doing it. I say, okay, write the next chapter. What I do is I'll just write the, I use 24 point type when I do the first version of it, so not a lot of words. And then I put the best result and the five success criteria into perplexity. And I say, now, here's what I want you to do. So there's six paragraphs, a big one, and five small ones. Speaker 1: And I want you to take the central idea of each of the sections, the big section and the five sections. And I want you to combine these in a very convincing and compelling fashion, and come back with the big section being 110 words in each of the smallest sections. And then it'll come back. And then I'll say, okay, let's take, now let's use a variety of different size sentences, short sentences, medium chart. And then I go through, and I'm working on style. Now I'm working on style and impact. And then the last thing is, when it's all finished, I say, okay, now I want you to write a totally negative, pessimistic, oppositional worst result based on everything that's on above. And it does, and it comes back 110 words. And then I just cut and paste. I cut and paste from perplexity, and it's really good. It's really good. Speaker 2: Now, this is for each chapter of one of your, each chapter. Each chapter. Each chapter of one of the quarterly Speaker 1: Books. Yeah. Yeah. There's 10 sections. 10 sections. And it comes back and it's good and everything, but I know there's no one else on the planet doing it in the way that I'm doing it. Speaker 2: Right, exactly. And then you take that, so it's helping you fill out the fast filter to have the conversation then with Shannon. Speaker 1: Then with Shannon, and then Shannon is just a phenomenal interviewer. She'll say, well, tell me what you mean there. Give me an example of what you mean there, and then I'll do it. So you could read the fast filter through, and it might take you a couple of minutes. It wouldn't even take you that to read it through. But that turns into an hour of interview, which is transcribed. It's recorded and transcribed, and then it goes to the writer and the editor, Adam and Carrie Morrison, who's my writing team. And that comes back as four complete pages of copy. Speaker 2: Yeah. Speaker 1: Yeah. Speaker 2: Fantastic. Speaker 1: Yeah. And that's 45 minutes, so, Speaker 2: So your involvement literally is like two hours of per chapter. Speaker 1: Yeah, per chapter. Yes. And the first book, first, thinking about your thinking, which was no wanting what you want, was very first one. I would estimate my total involvement, and that was about 60 hours. And this one I'll told a little be probably 20 hours total maybe. Speaker 2: Yeah. Speaker 1: And that's great. That's great. Speaker 2: That's fantastic. Speaker 1: With a higher level of confidence about getting it done. So I don't think that we are involved in this at all. The use of the we or everybody, the vast majority of human, first of all, half the humans on the planet don't even have very good electricity, so they're not going to be using it at all. Okay. So when you get down to who's actually using this in a very productive way, I think it's probably less, way less than 1% of humans are actually using this in a really useful way. Speaker 2: Yeah. Yep. I look at this. Wow. And think going forward, what a, it really is going to be like electricity or the internet, a layer. A base layer, that everything is going to intertwine everything, Speaker 1: And it's going to, we take, I think most people, if you're living in Toronto or you're living in your idyllic spot in Florida, electricity is a given that you have electricity for Speaker 2: Everything. So is wifi. Yeah, exactly. Speaker 1: Yeah. And wifi is taken for it. So it's amazing for the very early start of your use of it. But once you know it's dependable, once you know it's guaranteed, it loses its wonder really fast. You just expect it. Yeah. Speaker 2: And then it becomes, yeah, it's such amazing, amazing time Speaker 1: Right now. I think what's unusual about AI is that I don't remember when it was that I really got involved with a personal computer. I know that there were millions of personal computers out there before I ever got involved with them. And this one is, I think our consciousness of getting involved with this new technology is much sharper. Speaker 2: Yeah, I think so too, because it's already, now it's there and it's accessible. It's like the platforms to make it accessible are already there. The internet and the app world, the ability to create interfaces, as Peter would say, the interface for it is there. Yeah. Pretty amazing. Speaker 1: I think this is, yeah. Well, there's a question for Charlotte. Say we're now approaching three years. Three years chat G PT came out soon and the end of 2025, so that'll be three years. And after, what percentage of people on the planet, of the total population of the planet are actually engaged? What percentage are actually engaged and are achieving greater creativity and productivity with AI on an individual basis? What percentages in it? So I'd be interested in what her answer is. Speaker 2: What percentage of people on the planet are engaged with engaged with AI Speaker 1: In a creative, productive, and profitable way, Speaker 2: In a creative, productive and profitable way? Profitable. This will be interesting to see what percentage of people on the planet are engaged with AI in a creative, productive, and profitable way. There isn't a definitive statistic on exactly what percentage of the global population is engaged with AI in a creative, productive, and profitable way. We can make an informed estimate based on current data and trends. So as of 2025, there are 8.1 billion people and people with access to AI tools, 5.3 billion internet users globally. Of those, maybe one to 1.5 billion are aware or have tried AI tools like Chat, GPT, midjourney, et cetera, but regular intentional use, likely a smaller group, creative, productive, profitable use. These are people who use AI to enhance or create work, use it for business profit directly or indirectly from it. A generous estimate might be one to 2% of the global population Speaker 1: That would be mine. And the interesting thing about it is that they were already in a one or 2% of people on the planet doing other things, Speaker 3: Right? Yeah. Speaker 1: In other words, they were already enhancing themselves through other means technologically. Let's just talk about technologically. And I think that, so it's going to, and a lot of people are just going to be so depressed that they've already been left out and left behind that they're probably never, they're going to be using it, but that's just because AI is going to be included in all technological interfaces. Speaker 2: Yeah. They're going to be using it, and they might not even realize that's what's happening. Speaker 1: Yeah. They're going to call, I really noticed that going through, when you're leaving Toronto to go back into the United States and you're going through trusted advisor, boy, you used to have to put in your passport, and you have to get used to punch buttons. Now it says, just stand there and look into the camera. Speaker 2: Boom. I've noticed the times both coming and going have been dramatically reduced. Speaker 1: Well, not coming back. Nexus isn't, the Nexus really isn't any more advanced than it was. Speaker 2: Well, it seems like Speaker 1: I've seen no real improvement in Nexus Speaker 2: To pick the right times to arrive. Because the last few times, Speaker 1: First of all, you have to have a card. You have to have a Nexus card, Speaker 2: Don't, there's an app, there's a passport control app that you can fill in all these stuff ahead of time, do your pre declaration, and then you push the button when you arrive. And same thing, you just look into the camera and you scan your passport and it punches out a ticket, and you just walk through. I haven't spoken to, I haven't gone through the interrogation line, I think in my last four visits, I don't think. Speaker 1: Now, are you going through the Nexus line or going through Speaker 2: The, no, I don't have Nexus. So I'm just going through the Speaker 1: Regular Speaker 2: Line, regular arrival line. Yep. Speaker 1: Yeah, because there's a separate where you just go through Nexus. If you were just walking through, you'd do it in a matter of seconds, but the machines will stop you. So we have a card and you have to put the card down. Sometimes the card works, half the machines are out of order most of the time and everything, and then it spits out a piece of paper and everything like that. With going into the us, all you do is look into the camera and go up and you check the guy checks the camera. That's right. Maybe ask your question and you're through. But what I'm noticing is, and I think the real thing is that Canada doesn't have the money to upgrade this. Speaker 2: Right. Speaker 1: That's what I'm noticing. It is funny. I was thinking about this. We came back from Chicago on Friday, and I said, I used to have the feeling that Canada was really far ahead of the United States technologically, as far as if I, the difference between being at LaGuardia and O'Hare, and now I feel that Canada is really falling behind. They're not upgrading. I think Canada's sort of run out of money to be upgrading technology. Speaker 2: Yeah. This is, I mean, remember in my lifetime, just walking through, driving across the border was really just the wink and wave. Speaker 1: I had an experience about, it must have been about 20 years ago. We went to Hawaii and we were on alumni, the island alumni, which is, I think it's owned by Larry Ellison. I think Larry Ellison owns the whole Speaker 3: Island. Speaker 1: And we went to the airport and we were flying back to Honolulu from Lena, and it was a small plane. So we got to the airport and there wasn't any security. You were just there. And they said, I asked the person, isn't there any security? And he said, well, they're small planes. Where are they going to fly to? If they hijack, where are they going to fly to? They have to fly to one of the other islands. They can't fly. There's no other place to go. But now I think they checked, no, they checked passports and everything like that, but there wasn't any other security. I felt naked. I felt odd. Speaker 2: Right, right, right. Speaker 1: Yeah. Speaker 2: It fell off the grid, right? Speaker 1: Yeah. It fell off the grid. Yeah. But it's interesting because the amount of inequality on the planet is really going exponential. Now, between the gap, I don't consider myself an advanced technology person. I only relate technology. Does it allow me to do it easier and faster? That's my only interest in technology. Can you do it easier or faster? And I've proven, so I've got a check mark. I can now do a chapter of my book in 45 minutes, start to finish, where before it took 150 minutes. So that's a big deal. That's a big deal. Speaker 3: It's pretty, yeah. Speaker 2: You can do more books. You can do other things. I love the cadence. It's just so elegant. A hundred books over 25 years is such a great, it's a great thing. Speaker 1: Yeah. It's a quarterly workout, Speaker 1: But we don't need more books than one a quarter. We really don't need it, so there's no point in doing it. So to me, I'm just noticing that I think the adoption of cell phones has been one of the major real fast adaptations on the part of humans. I think probably more so than electricity. Nobody installs their own electricity. Generally speaking, it's part of the big system. But cell phones actually purchasing a cell phone and using it for your own means, I think was one of the more profound examples of people very quickly adapting to new technology. Speaker 2: Yes. I was just having a conversation with someone last night about the difference I recall up until about 2007 was I look at that as really the tipping point that Speaker 2: Up until 2007, the internet was still somewhere that you went. There was definitely a division between the mainland and going to the internet. It was a destination as a distraction from the real world. But once we started taking the internet with us and integrating it into our lives, and that started with the iPhone and that allowed the app world, all of the things that we interact with now, apps, that's really it. And they've become a crucial part of our lives where you can't, as much as you try it, it's a difficult thing to extract from it. There was an article in Toronto Life this week, which I love Toronto Life, just as a way to still keep in touch with my Toronto. But they were talking about this, trying to dewire remove from being so wired. And there's so many apps that we require. I pay for everything with Apple Pay, and all of the things are attached there. I order food with Uber Eats and with all the things, it's all, the phone is definitely the remote control to my life. So it's difficult to, he was talking about the difficulty of just switching to a flip phone, which is without any of the apps. It's a difficult thing. Speaker 1: And you see, if somebody quizzed me on my use of my iPhone, the one that I talked to Dean Jackson on, you talked about the technology. Speaker 2: That's exactly it. Speaker 1: You mean that instrument that on Sunday morning, did I make sure it's charged up Speaker 2: My once a week conversation, Speaker 1: My one conversation per week? Speaker 2: Oh, man. Yeah. Well, you've created a wonderful bubble for yourself. I think that's, it's not without, Speaker 1: Really, yeah, Friday was eight years with no tv. So the day before yesterday, eight, eight years with no tv. But you're the only one that I get a lot of the AI that's allowing people to do fraud calls and scam calls, and everything is increasing because I notice, I notice I'm getting a lot of them now. And then most of 'em are Chinese. I test every once in a while, and it's, you called me. I didn't call you. Speaker 2: I did not call you. Speaker 1: Anyway, but it used to be, if I looked at recent calls, it would be Dean Jackson, Dean Jackson, Dean Jackson, Dean Jackson, Dean Jackson. And now there's fraud calls between one Dean Jackson and another Dean Jackson. Oh, man. Spam. Spam calls. Spam. Yeah. Anyway, but the interesting thing is, to me is, but I've got really well-developed teamwork systems, so I really put all my attention in, and they're using technology. So all my cca, who's my great ea, she is just marvelous. She's just marvelous how much she does for me. And Speaker 2: You've removed yourself from the self milking cow culture, and you've surrounded yourself with a farm with wonderful farmers. Farmers. Speaker 1: I got a lot of farm specialists Speaker 2: On my team to allow you to embrace your bovinity. Yes. Speaker 1: My timeless, Speaker 3: Yes. Yeah. Speaker 1: So we engaged to Charlotte twice today. One is what are you up to when you're not with me? And she's not up to anything. She's just, I Speaker 2: Don't wander away. I don't, yeah, that's, I don't wonder. I just wait here for you. Speaker 1: I just wait here. And the other thing is, we found the percentage of people, of the population that are actually involved, I've calculated as probably one or 2%, and it's very enormous amount of This would be North America. Speaker 3: Yeah. Speaker 1: High percentage. Yeah. I bet you're right. High percentage of it would be North America. And it has to do with the energy has to do with the energy that's North America is just the sheer amount of data centers that are being developed in the United States. United States is just massive. And that's why this is the end of the environmental movement. This is the end of the green energy movement. There's no way that solar and wind power are going to be backing up ai. Speaker 2: They're going to be able to keep enough for us. No. Speaker 1: Right. You got to go nuclear new fossil fuels. Yeah. Nuclear, we've got, but the big thing now, everybody is moving to nuclear. Everybody's moving to, you can see all the big tech companies. They're buying up existing nuclear station. They're bringing them back online, and everything's got to be nuclear. Speaker 2: Yeah. I wonder how small, do you ever think we'll get to a situation where we'll have a small enough nuclear generator? You could just self power own your house? Or will it be for Speaker 1: Municipalities need the mod, the modular ones, whatever, the total square footage that you're with your house and your garage, and do you have a garage? I don't know if you need a garage. I do. Yeah. Yeah. Probably. They're down to the size of your house right now. But that would be good for 40,000 homes. Speaker 2: Wow. 40,000 homes. That's crazy. Yeah. Speaker 1: That'd be your entire community. That'd be, and G could be due with one. Speaker 2: All of Winterhaven. Yeah. With one. Speaker 1: Yeah. And it's really interesting because it has a lot to do with building reasonably sized communities in spaces that are empty. Right now, if you look at the western and southwest of the United States, there's just massive amounts of space where you could put Speaker 2: In Oh, yeah. Same as the whole middle of Florida. Southern middle is wide open, Speaker 1: And you could ship it in, you could ship it in. It could be pre-made at a factory, and it could be, well, the components, I suspect they'll be small enough to bring in a big truck. Speaker 3: Wow. Speaker 1: Yeah. And it's really interesting. Nuclear, you can't even, it's almost bizarre. Comparing a gram of uranium gram, which is new part of an ounce ram is part of an ounce. It has the energy density of 27 tons of coal. Speaker 2: Wow. Speaker 1: Like that. Speaker 2: Exactly. Speaker 1: But it takes a lot. What's going to happen is it takes an enormous amount of energy to get that energy. The amount of energy that you need to get that energy is really high. Speaker 3: So Speaker 1: I did a perplexity search, and I said, in order to meet the goals, the predictions of AI that are there for 2030, how much AI do we have to use just to get the energy? And it's about 40% of all AI is going to be required to get the energy to expand the use of ai. Speaker 2: Wow. Wow. Speaker 1: Take that. You windmill. Yeah, exactly. Take that windmill. Windmill. So funny. Yeah. Oh, the wind's not blowing today. Oh, when do you expect the wind to start blowing? Oh, that's funny. Yeah. All of 'em have to have natural gas. Every system that has wind and solar, they have to have massive amounts of natural gas to make sure that the power doesn't go up. Yeah. We have it here at our house here. We have natural gas generator, and it's been Oh, nice. Doesn't happen very often, but when it does, it's very satisfying. It takes about three seconds Speaker 2: And kicks Speaker 1: In. And it kicks in. Yeah. And it's noisy. It's noisy. But yeah. So any development of thought here? Here? I think you're developing your own really unique future with your Charlotte, your partner, I think. I don't think many people are doing what you're doing. Speaker 2: No. I'm going to adapt what I've learned from you today too, and do it that way. I've been working on the VCR formula book, and that's part of the thing is I'm doing the outline. I use my bore method, brainstorm, outline, record, and edit, so I can brainstorm similar to a fast filter idea of what do I want, an outline into what I want for the chapter, and then I can talk my way through those, and then let, then Charlotte, can Speaker 1: I have Charlotte ask you questions about it. Speaker 2: Yeah. That may be a great way to do it. Speaker 3: Yeah. Speaker 2: But I'll let you know. This is going to be a big week for that for me. I've got a lot of stuff on the go here for that. Speaker 1: Yeah. Well, we got a neat note from Tony DiAngelo. Did you get his note? Speaker 2: I don't think so. Speaker 1: Yeah. He had listened. He's been listening to our podcast where Charlotte is a partner on the show. He said, this is amazing. He said, it's really amazing. It's like we're creating live entertainment. Oh, Speaker 3: Yeah. Speaker 1: And that we're doing it. I said, well, I don't think you should try to push the thing, but where a question comes up or some information is missing, bring Charlotte in for sure. Yeah. Speaker 2: That's awesome. Speaker 1: She's not on free days. She's not taking a break. She's not. No, Speaker 2: She's right here. She's just wherever. She's right here. Yep. She doesn't have any curiosity or distraction. Speaker 1: Yeah. Yeah. The first instance of intelligence without any motivation whatsoever being really useful. Speaker 2: That's amazing. It's so great. Speaker 1: Yeah. I just accept it. That's now available. Speaker 2: Me too. That's exactly right. It's up to us to use it. Okay, Dan, I'll talk to you next Speaker 1: Time. I'll be talking to you from the cottage next week. Speaker 2: Awesome. I'll talk to you then. Speaker 1: Okay. Speaker 2: Okay. Bye. Speaker 1: Bye.

Just as many analyze rock music for Satan, who can be found in greater abundance instead within pop music, we are looking in the wrong place for aliens and gods too. The approaching 3I/ATLAS interstellar object has been classified as possibly non-natural, largely based on the work of a Harvard team led by Abraham (Avi) Loeb. In a recent paper, termed a “pedagogical exercise,” the team said “the most likely outcome” of the anomaly will be that it is “completely natural interstellar object, probably a comet.” But this has not stopped speculation from spiraling out of control, so that what was a thought experiment has now evolved into a warning about a coming extraterrestrial invasion. But there is more to the story, because the ideas presented here are equivalent to to SARS-CoV2, i.e., an invisible potential threat.Congresswoman Anna Paulina Luna recently told Joe Rogan in August 2025 that she's seen evidence of “interdimensional beings” and that there are reports of their “movements outside of time and space.” She goes on to refer to the Bible and the time of Christ, meaning that her comments share a relationship with ancient astronaut theory too.This reminds us of White House science adviser Michael Kratsios who claimed in April 2025 the U.S. has technology that can “manipulate time and space.” It won't be lost on some that the congressman is named Luna, Latin for moon, and the science advisor's name is derived from Kratos, Greek for strength and power and associated with war; he is the enforcer of Zeus with his sister Bia (force). The name “Atlas” has the same meaning of strength, though in mythology he is a Titan, or a primordial deity of natural forces. The two previous interstellar objects, Oumuamua and Borisov, which means “messenger from afar arriving first” and “fighter” respectively. Such names imply a coming messenger and fighter that has the ability to change the order of life and introduce a new way of thinking.Going back to a July 8, 1947, memorandum numbered 6751, the U.S. government reportedly knew that Roswell - whatever happened - was to be understood on the basis that the flying “disks carry crews” or are “under remote control,” and that they have a mission from another world. The documented says their “planet” is an “etheric planet which interpenetrates with our own and is not perceptible to us.” It likewise links their home to the Lokas and Talas, respectively the higher and lower spiritual planes. Avi Loeb also recently posited that 3I/ATLAS may herald the arrival of “a messianic era,” that the messiah may come “from another star.” He also believes there “needs to be an international organization” to deal with possible peace or conflict which accompanies contact, though he hopes, like President Reagan, such a thing will “bring people together” even if it is based on “an external threat.” It must not be a coincidence that reports are simultaneously being published by religious websites claiming Israel has either already performed the red heifer sacrifice or at least conducted a test run for the real ritual, something many believe is necessary before the Third Temple can be built. However, ultra-orthodox Jews believe this is wrong, and that divine intervention should be the author of ritual instead of human initiative. Other Jews see the sacrifice as archaic and believe the messiah is an era, like Loeb eluded too, rather than a person. Either way, almost all Christians are eager to fulfill perceived prophecy.Amateur astronomers have further noted the appearance of cube-like structures near the sun and some have even suggested that certain views of 3I/ATLAS appear to portray the object in a similar form. Of course this relates to Revelation 21:16 which describes the New Jerusalem as a cube. However, the book in question is a metaphoric spiritual treatise and the city in question is nothing more than the foundation of peace. The cube indicates a sort of polished masonic rock, where a person is square and upright. Whether interpreted literally or figuratively we can still find a messianic era and the bringer of peace in these stories, though if such things are perceived as literal they may bring war instead.   On the other hand, UAP celebrities like Jeremy Corbell have contrarily been warning that the public is going to be told “there is a craft on its way to Earth” and that it is a “lie you are going to be told.” So why are we looking in the wrong place for aliens and gods? Because quietly under our noses the rise of AI has taken over businesses, schools, governments and even spirituality. The big technology boom in AI is also, according to Larry Ellison of Oracle, evolving primarily out of Herzliya Israel. If the Jewish messiah or messianic concept in some capacity arrives from another star, even if such an idea can be implanted, then perhaps it would explain why certain Jewish stereotypes and the Jewish covenant with god have been seen as part of the ancient alien narrative. In fact, the entire idea of ancient aliens, or paleo-astronautics, was first introduced by Matest M. Agrest who was born into a family of Torah scholars. As C.J.S. Thomson wrote of the Elf, their home “is in the celestial regions” and they are “skilled in the mechanical arts.”*The is the FREE archive, which includes advertisements. If you want an ad-free experience, you can subscribe below underneath the show description.FREE ARCHIVE (w. ads)SUBSCRIPTION ARCHIVEX / TWITTER FACEBOOKWEBSITECashApp: $rdgable EMAIL: rdgable@yahoo.com / TSTRadio@protonmail.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-secret-teachings--5328407/support.

In which Robert & Amy answer questions about good & evil ... and everything in between ... Ask Us Anything! The Soviet Union vs. modern day Russia, character development in Atlas Shrugged, the pros & cons of Woodstock, and Robert's advice on cheap musical instruments. Also, Woodstock, Mae West, Larry Ellison, and Black Cat Appreciation Day. Plus, your questions!

Want to build your own million dollar side hustle? Get 700+ prompts here: https://clickhubspot.com/cdw Episode 734: Shaan Puri ( https://x.com/ShaanVP ) sits down with billionaire Hayes Barnard for a rare interview. TeamWater is now live! $1 = 1 year of clean water for someone in need. During August,  countless founders (including Hayes) are attempting to raise $40,000,000 to give 2,000,000 people clean drinking water for decades each!Anything you can give helps: teamwater.org — Show Notes: (0:00) Failing 1st grade to $10B Founder (4:21) The making of outperformers (9:28) Lessons from Larry Ellison (32:05) Surviving Crisis (41:30) The difference between rejection and results (46:40) Meeting Elon (56:07) What to chase (1:07:35) The Dad Story (1:18:30) Laying in the dirt (1:26:45) Give Power — Links: • TEAMWATER - https://teamwater.org/ • GoodLeap - https://www.goodleap.com/ • GivePower - https://givepower.org/ — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano

In today's Cloud Wars Minute, I take a closer look at what may be the biggest B2B deal in tech history, Larry Ellison's $100B+ agreement with OpenAI. Highlights00:15 — We've seen some extraordinary things happen with OpenAI and the alliances it has had. For the first several years of its existence, it was tightly paired with Microsoft. That has changed dramatically now, and OpenAI is now tightly entwined with Oracle.02:01 — What Oracle said in a document it filed was that it has a cloud services contract that will pay it more than $30 billion annually, starting in fiscal 2028. I doubt that Sam Altman at OpenAI wants to go out every year and shop around for new cloud infrastructure providers. So, I think it's reasonable to expect this is going to last two years, three years, perhaps more.02:39 — So now, OpenAI, aligned with Oracle, could have picked anybody. What happened to the Microsoft and OpenAI bromance? Going back to 2019, Microsoft invested $1 billion into OpenAI. In 2021, it followed up with more, and in 2023, at the beginning of the year, the companies each put out announcements saying: We have entered into a deeper, longer-term, incredibly strategic, two-way technology transfer.03:38 — And suddenly we see this change. In just two short years after this big announcement by both of them, we see, in the White House, the first day of President Trump's second term, who shows up but Larry Ellison, Masayoshi Son, the CEO of SoftBank, and Sam Altman, the CEO of OpenAI, to announce a $500 billion initiative called Project Stargate.04:22 — You could have looked at this and said: Microsoft is the biggest tech company in the world. It's the biggest cloud company. It has the most money. It has all these advantages. They'll never let OpenAI slip away. But they did, or was it not so much that Microsoft let it slip away as Larry Ellison said, Hey, I have a better approach. I have a better way here.05:02 — But these shifts we're seeing — where new types of business are done in different ways, with different combinations and partnerships — are challenging the status quo. All these companies have to continue to do new and better things in new and better ways that drive more value and better business outcomes for customers. Visit Cloud Wars for more.

Summer rewind: Greg Lindsay is an urban tech expert and a Senior Fellow at MIT. He's also a two-time Jeopardy champion and the only human to go undefeated against IBM's Watson. Greg joins thinkenergy to talk about how artificial intelligence (AI) is reshaping how we manage, consume, and produce energy—from personal devices to provincial grids, its rapid growth to the rising energy demand from AI itself. Listen in to learn how AI impacts our energy systems and what it means individually and industry-wide. Related links: ●       Greg Lindsay website: https://greglindsay.org/ ●       Greg Lindsay on LinkedIn: https://www.linkedin.com/in/greg-lindsay-8b16952/ ●       International Energy Agency (IEA): https://www.iea.org/ ●       Trevor Freeman on LinkedIn: https://www.linkedin.com/in/trevor-freeman-p-eng-cem-leed-ap-8b612114/ ●       Hydro Ottawa: https://hydroottawa.com/en    To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405   To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl   To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video: https://www.youtube.com/user/hydroottawalimited   Follow along on Instagram: https://www.instagram.com/hydroottawa   Stay in the know on Facebook: https://www.facebook.com/HydroOttawa   Keep up with the posts on X: https://twitter.com/thinkenergypod --- Transcript: Trevor Freeman  00:00 Hi everyone. Well, summer is here, and the think energy team is stepping back a bit to recharge and plan out some content for the next season. We hope all of you get some much needed downtime as well, but we aren't planning on leaving you hanging over the next few months, we will be re releasing some of our favorite episodes from the past year that we think really highlight innovation, sustainability and community. These episodes highlight the changing nature of how we use and manage energy, and the investments needed to expand, modernize and strengthen our grid in response to that. All of this driven by people and our changing needs and relationship to energy as we move forward into a cleaner, more electrified future, the energy transition, as we talk about many times on this show. Thanks so much for listening, and we'll be back with all new content in September. Until then, happy listening.   Trevor Freeman  00:55 Welcome to think energy, a podcast that dives into the fast changing world of energy through conversations with industry leaders, innovators and people on the front lines of the energy transition. Join me, Trevor Freeman, as I explore the traditional, unconventional and up and coming facets of the energy industry. If you have any thoughts feedback or ideas for topics we should cover, please reach out to us at think energy at hydro ottawa.com, Hi everyone. Welcome back. Artificial intelligence, or AI, is a term that you're likely seeing and hearing everywhere today, and with good reason, the effectiveness and efficiency of today's AI, along with the ever increasing applications and use cases mean that in just the past few years, AI went from being a little bit fringe, maybe a little bit theoretical to very real and likely touching everyone's day to day lives in ways that we don't even notice, and we're just at the beginning of what looks to be a wave of many different ways that AI will shape and influence our society and our lives in the years to come. And the world of energy is no different. AI has the potential to change how we manage energy at all levels, from our individual devices and homes and businesses all the way up to our grids at the local, provincial and even national and international levels. At the same time, AI is also a massive consumer of energy, and the proliferation of AI data centers is putting pressure on utilities for more and more power at an unprecedented pace. But before we dive into all that, I also think it will be helpful to define what AI is. After all, the term isn't new. Like me, many of our listeners may have grown up hearing about Skynet from Terminator, or how from 2001 A Space Odyssey, but those malignant, almost sentient versions of AI aren't really what we're talking about here today. And to help shed some light on both what AI is as well as what it can do and how it might influence the world of energy, my guest today is Greg Lindsay, to put it in technical jargon, Greg's bio is super neat, so I do want to take time to run through it properly. Greg is a non resident Senior Fellow of MIT's future urban collectives lab Arizona State University's threat casting lab and the Atlantic Council's Scowcroft center for strategy and security. Most recently, he was a 2022-2023 urban tech Fellow at Cornell Tech's Jacobs Institute, where he explored the implications of AI and augmented reality at an urban scale. Previously, he was an urbanist in resident, which is a pretty cool title, at BMW minis urban tech accelerator, urban X, as well as the director of Applied Research at Montreal's new cities and Founding Director of Strategy at its mobility focused offshoot, co motion. He's advised such firms as Intel, Samsung, Audi, Hyundai, IKEA and Starbucks, along with numerous government entities such as 10 Downing Street, us, Department of Energy and NATO. And finally, and maybe coolest of all, Greg is also a two time Jeopardy champion and the only human to go undefeated against IBM's Watson. So on that note, Greg Lindsey, welcome to the show.   Greg Lindsay  04:14 Great to be here. Thanks for having me. Trevor,   Trevor Freeman  04:16 So Greg, we're here to talk about AI and the impacts that AI is going to have on energy, but AI is a bit of one of those buzzwords that we hear out there in a number of different spheres today. So let's start by setting the stage of what exactly we're talking about. So what do we mean when we say AI or artificial intelligence?   Speaker 1  04:37 Well, I'd say the first thing to keep in mind is that it is neither artificial nor intelligence. It's actually composites of many human hands making it. And of course, it's not truly intelligent either. I think there's at least two definitions for the layman's purposes. One is statistical machine learning. You know that is the previous generation of AI, we could say, doing deep, deep statistical analysis, looking for patterns fitting to. Patterns doing prediction. There's a great book, actually, by some ut professors at monk called prediction machines, which that was a great way of thinking about machine learning and sense of being able to do large scale prediction at scale. And that's how I imagine hydro, Ottawa and others are using this to model out network efficiencies and predictive maintenance and all these great uses. And then the newer, trendier version, of course, is large language models, your quads, your chat gpts, your others, which are based on transformer models, which is a whole series of work that many Canadians worked on, including Geoffrey Hinton and others. And this is what has produced the seemingly magical abilities to produce text and images on demand and large scale analysis. And that is the real power hungry beast that we think of as AI today.   Trevor Freeman  05:42 Right! So different types of AI. I just want to pick those apart a little bit. When you say machine learning, it's kind of being able to repetitively look at something or a set of data over and over and over again. And because it's a computer, it can do it, you know, 1000s or millions of times a second, and learn what, learn how to make decisions based on that. Is that fair to say?   Greg Lindsay  06:06 That's fair to say. And the thing about that is, is like you can train it on an output that you already know, large language models are just vomiting up large parts of pattern recognition, which, again, can feel like magic because of our own human brains doing it. But yeah, machine learning, you can, you know, you can train it to achieve outcomes. You can overfit the models where it like it's trained too much in the past, but, yeah, it's a large scale probabilistic prediction of things, which makes it so powerful for certain uses.   Trevor Freeman  06:26 Yeah, one of the neatest explanations or examples I've seen is, you know, you've got these language models where it seems like this AI, whether it's chat, DBT or whatever, is writing really well, like, you know, it's improving our writing. It's making things sound better. And it seems like it's got a brain behind it, but really, what it's doing is it's going out there saying, What have millions or billions of other people written like this? And how can I take the best things of that? And it can just do that really quickly, and it's learned that that model, so that's super helpful to understand what we're talking about here. So obviously, in your work, you look at the impact of AI on a number of different aspects of our world, our society. What we're talking about here today is particularly the impact of AI when it comes to energy. And I'd like to kind of bucketize our conversation a little bit today, and the first area I want to look at is, what will ai do when it comes to energy for the average Canadian? Let's say so in my home, in my business, how I move around? So I'll start with that. It's kind of a high level conversation. Let's start talking about the different ways that AI will impact you know that our average listener here?   Speaker 1  07:41 Um, yeah, I mean, we can get into a discussion about what it means for the average Canadian, and then also, of course, what it means for Canada in the world as well, because I just got back from South by Southwest in Austin, and, you know, for the second, third year in row, AI was on everyone's lips. But really it's the energy. Is the is the bottleneck. It's the forcing factor. Everyone talked about it, the fact that all the data centers we can get into that are going to be built in the direction of energy. So, so, yeah, energy holds the key to the puzzle there. But, um, you know, from the average gain standpoint, I mean, it's a question of, like, how will these tools actually play out, you know, inside of the companies that are using this, right? And that was a whole other discussion too. It's like, okay, we've been playing around with these tools for two, three years now, what do they actually use to deliver value of your large language model? So I've been saying this for 10 years. If you look at the older stuff you could start with, like smart thermostats, even look at the potential savings of this, of basically using machine learning to optimize, you know, grid optimize patterns of usage, understanding, you know, the ebbs and flows of the grid, and being able to, you know, basically send instructions back and forth. So you know there's stats. You know that, basically you know that you know you could save 10 to 25% of electricity bills. You know, based on this, you could reduce your heating bills by 10 to 15% again, it's basically using this at very large scales of the scale of hydro Ottawa, bigger, to understand this sort of pattern usage. But even then, like understanding like how weather forecasts change, and pulling that data back in to basically make fine tuning adjustments to the thermostats and things like that. So that's one stands out. And then, you know, we can think about longer term. I mean, yeah, lots have been lots has been done on imagining, like electric mobility, of course, huge in Canada, and what that's done to sort of change the overall energy mix virtual power plants. This is something that I've studied, and we've been writing about at Fast Company. At Fast Company beyond for 20 years, imagining not just, you know, the ability to basically, you know, feed renewable electricity back into the grid from people's solar or from whatever sources they have there, but the ability of utilities to basically go in and fine tune, to have that sort of demand shaping as well. And then I think the most interesting stuff, at least in demos, and also blockchain, which has had many theoretical uses, and I've got to see a real one. But one of the best theoretical ones was being able to create neighborhood scale utilities. Basically my cul de sac could have one, and we could trade clean electrons off of our solar panels through our batteries and home scale batteries, using Blockchain to basically balance this out. Yeah, so there's lots of potential, but yeah, it comes back to the notion of people want cheaper utility bills. I did this piece 10 years ago for the Atlantic Council on this we looked at a multi country survey, and the only reason anybody wanted a smart home, which they just were completely skeptical about, was to get those cheaper utility bills. So people pay for that.   Trevor Freeman  10:19 I think it's an important thing to remember, obviously, especially for like the nerds like me, who part of my driver is, I like that cool new tech. I like that thing that I can play with and see my data. But for most people, no matter what we're talking about here, when it comes to that next technology, the goal is make my life a little bit easier, give me more time or whatever, and make things cheaper. And I think especially in the energy space, people aren't putting solar panels on their roof because it looks great. And, yeah, maybe people do think it looks great, but they're putting it up there because they want cheaper electricity. And it's going to be the same when it comes to batteries. You know, there's that add on of resiliency and reliability, but at the end of the day, yeah, I want my bill to be cheaper. And what I'm hearing from you is some of the things we've already seen, like smart thermostats get better as AI gets better. Is that fair to say?   Greg Lindsay  11:12 Well, yeah, on the machine learning side, that you know, you get ever larger data points. This is why data is the coin of the realm. This is why there's a race to collect data on everything. Is why every business model is data collection and everything. Because, yes, not only can they get better, but of course, you know, you compile enough and eventually start finding statistical inferences you never meant to look for. And this is why I've been involved. Just as a side note, for example, of cities that have tried to implement their own data collection of electric scooters and eventually electric vehicles so they could understand these kinds of patterns, it's really the key to anything. And so it's that efficiency throughput which raises some really interesting philosophical questions, particularly about AI like, this is the whole discussion on deep seek. Like, if you make the models more efficient, do you have a Jevons paradox, which is the paradox of, like, the more energy you save through efficiency, the more you consume because you've made it cheaper. So what does this mean that you know that Canadian energy consumption is likely to go up the cleaner and cheaper the electrons get. It's one of those bedeviling sort of functions.   Trevor Freeman  12:06 Yeah interesting. That's definitely an interesting way of looking at it. And you referenced this earlier, and I will talk about this. But at the macro level, the amount of energy needed for these, you know, AI data centers in order to do all this stuff is, you know, we're seeing that explode.   Greg Lindsay  12:22 Yeah, I don't know that. Canadian statistics my fingertips, but I brought this up at Fast Company, like, you know, the IEA, I think International Energy Agency, you know, reported a 4.3% growth in the global electricity grid last year, and it's gonna be 4% this year. That does not sound like much. That is the equivalent of Japan. We're adding in Japan every year to the grid for at least the next two to three years. Wow. And that, you know, that's global South, air conditioning and other needs here too, but that the data centers on top is like the tip of the spear. It's changed all this consumption behavior, where now we're seeing mothballed coal plants and new plants and Three Mile Island come back online, as this race for locking up electrons, for, you know, the race to build God basically, the number of people in AI who think they're literally going to build weekly godlike intelligences, they'll, they won't stop at any expense. And so they will buy as much energy as they can get.   Trevor Freeman  13:09 Yeah, well, we'll get to that kind of grid side of things in a minute. Let's stay at the home first. So when I look at my house, we talked about smart thermostats. We're seeing more and more automation when it comes to our homes. You know, we can program our lights and our door locks and all this kind of stuff. What does ai do in order to make sure that stuff is contributing to efficiency? So I want to do all those fun things, but use the least amount of energy possible.   Greg Lindsay  13:38 Well, you know, I mean, there's, again, there's various metrics there to basically, sort of, you know, program your lights. And, you know, Nest is, you know, Google. Nest is an example of this one, too, in terms of basically learning your ebb and flow and then figuring out how to optimize it over the course of the day. So you can do that, you know, we've seen, again, like the home level. We've seen not only the growth in solar panels, but also in those sort of home battery integration. I was looking up that Tesla Powerwall was doing just great in Canada, until the last couple of months. I assume so, but I it's been, it's been heartening to see that, yeah, this sort of embrace of home energy integration, and so being able to level out, like, peak flow off the grid, so Right? Like being able to basically, at moments of peak demand, to basically draw on your own local resources and reduce that overall strain. So there's been interesting stuff there. But I want to focus for a moment on, like, terms of thinking about new uses. Because, you know, again, going back to how AI will influence the home and automation. You know, Jensen Wong of Nvidia has talked about how this will be the year of robotics. Google, Gemini just applied their models to robotics. There's startups like figure there's, again, Tesla with their optimists, and, yeah, there's a whole strain of thought that we're about to see, like home robotics, perhaps a dream from like, the 50s. I think this is a very Disney World esque Epcot Center, yeah, with this idea of jetsy, yeah, of having home robots doing work. You can see concept videos a figure like doing the actual vacuuming. I mean, we invented Roombas to this, but, but it also, I, you know, I've done a lot of work. Our own thinking around electric delivery vehicles. We could talk a lot about drones. We could talk a lot about the little robots that deliver meals on the sidewalk. There's a lot of money in business models about increasing access and people needing to maybe move less, to drive and do all these trips to bring it to them. And that's a form of home automation, and that's all batteries. That is all stuff off the grid too. So AI is that enable those things, these things that can think and move and fly and do stuff and do services on your behalf, and so people might find this huge new source of demand from that as well.   Trevor Freeman  15:29 Yeah, that's I hadn't really thought about the idea that all the all these sort of conveniences and being able to summon them to our homes cause us to move around less, which also impacts transportation, which is another area I kind of want to get to. And I know you've, you've talked a little bit about E mobility, so where do you see that going? And then, how does AI accelerate that transition, or accelerate things happening in that space?   Greg Lindsay  15:56 Yeah, I mean, I again, obviously the EV revolutions here Canada like, one of the epicenters Canada, Norway there, you know, that still has the vehicle rebates and things. So, yeah. I mean, we've seen, I'm here in Montreal, I think we've got, like, you know, 30 to 13% of sales is there, and we've got our 2035, mandate. So, yeah. I mean, you see this push, obviously, to harness all of Canada's clean, mostly hydro electricity, to do this, and, you know, reduce its dependence on fossil fuels for either, you know, Climate Change Politics reasons, but also just, you know, variable energy prices. So all of that matters. But, you know, I think the key to, like the electric mobility revolution, again, is, is how it's going to merge with AI and it's, you know, it's not going to just be the autonomous, self driving car, which is sort of like the horseless carriage of autonomy. It's gonna be all this other stuff, you know. My friend Dan Hill was in China, and he was thinking about like, electric scooters, you know. And I mentioned this to hydro Ottawa, like, the electric scooter is one of the leading causes of how we've taken internal combustion engine vehicles offline across the world, mostly in China, and put people on clean electric motors. What happens when you take those and you make those autonomous, and you do it with, like, deep seek and some cameras, and you sort of weld it all together so you could have a world of a lot more stuff in motion, and not just this world where we have to drive as much. And that, to me, is really exciting, because that changes, like urban patterns, development patterns, changes how you move around life, those kinds of things as well. That's that might be a little farther out, but, but, yeah, this sort of like this big push to build out domestic battery industries, to build charging points and the sort of infrastructure there, I think it's going to go in direction, but it doesn't look anything like, you know, a sedan or an SUV that just happens to be electric.   Trevor Freeman  17:33 I think that's a the step change is change the drive train of the existing vehicles we have, you know, an internal combustion to a battery. The exponential change is exactly what you're saying. It's rethinking this.   Greg Lindsay  17:47 Yeah, Ramesam and others have pointed out, I mean, again, like this, you know, it's, it's really funny to see this pushback on EVs, you know. I mean, I love a good, good roar of an internal combustion engine myself, but, but like, you know, Ramesam was an energy analyst, has pointed out that, like, you know, EVS were more cost competitive with ice cars in 2018 that's like, nearly a decade ago. And yeah, the efficiency of electric motors, particularly regenerative braking and everything, it just blows the cost curves away of ice though they will become the equivalent of keeping a thorough brat around your house kind of thing. Yeah, so, so yeah, it's just, it's that overall efficiency of the drive train. And that's the to me, the interesting thing about both electric motors, again, of autonomy is like, those are general purpose technologies. They get cheaper and smaller as they evolve under Moore's Law and other various laws, and so they get to apply to more and more stuff.   Trevor Freeman  18:32 Yeah. And then when you think about once, we kind of figure that out, and we're kind of already there, or close to it, if not already there, then it's opening the door to those other things you're talking about. Of, well, do we, does everybody need to have that car in their driveway? Are we rethinking how we're actually just doing transportation in general? And do we need a delivery truck? Or can it be delivery scooter? Or what does that look like?   Greg Lindsay  18:54 Well, we had a lot of those discussions for a long time, particularly in the mobility space, right? Like, and like ride hailing, you know, like, oh, you know, that was always the big pitch of an Uber is, you know, your car's parked in your driveway, like 94% of the time. You know, what happens if you're able to have no mobility? Well, we've had 15 years of Uber and these kinds of services, and we still have as many cars. But people are also taking this for mobility. It's additive. And I raised this question, this notion of like, it's just sort of more and more, more options, more availability, more access. Because the same thing seems to be going on with energy now too. You know, listeners been following along, like the conversation in Houston, you know, a week or two ago at Sarah week, like it's the whole notion of energy realism. And, you know, there's the new book out, more is more is more, which is all about the fact that we've never had an energy transition. We just kept piling up. Like the world burned more biomass last year than it did in 1900 it burned more coal last year than it did at the peak of coal. Like these ages don't really end. They just become this sort of strata as we keep piling energy up on top of it. And you know, I'm trying to sound the alarm that we won't have an energy transition. What that means for climate change? But similar thing, it's. This rebound effect, the Jevons paradox, named after Robert Stanley Jevons in his book The question of coal, where he noted the fact that, like, England was going to need more and more coal. So it's a sobering thought. But, like, I mean, you know, it's a glass half full, half empty in many ways, because the half full is like increasing technological options, increasing changes in lifestyle. You can live various ways you want, but, but, yeah, it's like, I don't know if any of it ever really goes away. We just get more and more stuff,   Trevor Freeman  20:22 Exactly, well. And, you know, to hear you talk about the robotics side of things, you know, looking at the home, yeah, more, definitely more. Okay, so we talked about kind of home automation. We've talked about transportation, how we get around. What about energy management? And I think about this at the we'll talk about the utility side again in a little bit. But, you know, at my house, or for my own personal use in my life, what is the role of, like, sort of machine learning and AI, when it comes to just helping me manage my own energy better and make better decisions when it comes to energy? ,   Greg Lindsay  20:57 Yeah, I mean, this is where it like comes in again. And you know, I'm less and less of an expert here, but I've been following this sort of discourse evolve. And right? It's the idea of, you know, yeah, create, create. This the set of tools in your home, whether it's solar panels or batteries or, you know, or Two Way Direct, bi directional to the grid, however it works. And, yeah, and people, you know, given this option of savings, and perhaps, you know, other marketing messages there to curtail behavior. You know? I mean, I think the short answer the question is, like, it's an app people want, an app that tell them basically how to increase the efficiency of their house or how to do this. And I should note that like, this has like been the this is the long term insight when it comes to like energy and the clean tech revolution. Like my Emery Levin says this great line, which I've always loved, which is, people don't want energy. They want hot showers and cold beer. And, you know, how do you, how do you deliver those things through any combination of sticks and carrots, basically like that. So, So, hence, why? Like, again, like, you know, you know, power walls, you know, and, and, and, you know, other sort of AI controlled batteries here that basically just sort of smooth out to create the sort of optimal flow of electrons into your house, whether that's coming drive directly off the grid or whether it's coming out of your backup and then recharging that the time, you know, I mean, the surveys show, like, more than half of Canadians are interested in this stuff, you know, they don't really know. I've got one set here, like, yeah, 61% are interested in home energy tech, but only 27 understand, 27% understand how to optimize them. So, yeah. So people need, I think, perhaps, more help in handing that over. And obviously, what's exciting for the, you know, the utility level is, like, you know, again, aggregate all that individual behavior together and you get more models that, hope you sort of model this out, you know, at both greater scale and ever more fine grained granularity there. So, yeah, exactly. So I think it's really interesting, you know, I don't know, like, you know, people have gamified it. What was it? I think I saw, like, what is it? The affordability fund trust tried to basically gamify AI energy apps, and it created various savings there. But a lot of this is gonna be like, as a combination like UX design and incentives design and offering this to people too, about, like, why you should want this and money's one reason, but maybe there's others.   Trevor Freeman  22:56 Yeah, and we talk about in kind of the utility sphere, we talk about how customers, they don't want all the data, and then have to go make their own decisions. They want those decisions to be made for them, and they want to say, look, I want to have you tell me the best rate plan to be on. I want to have you automatically switch me to the best rate plan when my consumption patterns change and my behavior chat patterns change. That doesn't exist today, but sort of that fast decision making that AI brings will let that become a reality sometime in the future,   Greg Lindsay  23:29 And also in theory, this is where LLMs come into play. Is like, you know, to me, what excites me the most about that is the first time, like having a true natural language interface, like having being able to converse with an, you know, an AI, let's hopefully not chat bot. I think we're moving out on chat bots, but some sort of sort of instantiation of an AI to be like, what plan should I be on? Can you tell me what my behavior is here and actually having some sort of real language conversation with it? Not decision trees, not event statements, not chat bots.   Trevor Freeman  23:54 Yeah, absolutely. Okay, so we've kind of teased around this idea of looking at the utility levels, obviously, at hydro Ottawa, you referenced this just a minute ago. We look at all these individual cases, every home that has home automation or solar storage, and we want to aggregate that and understand what, what can we do to help manage the grid, help manage all these new energy needs, shift things around. So let's talk a little bit about the role that AI can play at the utility scale in helping us manage the grid.   Greg Lindsay  24:28 All right? Well, yeah, there's couple ways to approach it. So one, of course, is like, let's go back to, like, smart meters, right? Like, and this is where I don't know how many hydro Ottawa has, but I think, like, BC Hydro has like, 2 million of them, sometimes they get politicized, because, again, this gets back to this question of, like, just, just how much nanny state you want. But, you know, you know, when you reach the millions, like, yeah, you're able to get that sort of, you know, obviously real time, real time usage, real time understanding. And again, if you can do that sort of grid management piece where you can then push back, it's visual game changer. But, but yeah. I mean, you know, yeah, be. See hydro is pulling in. I think I read like, like, basically 200 million data points a day. So that's a lot to train various models on. And, you know, I don't know exactly the kind of savings they have, but you can imagine there, whether it's, you know, them, or Toronto Hydro, or hydro Ottawa and others creating all these monitoring points. And again, this is the thing that bedells me, by the way, just philosophically about modern life, the notion of like, but I don't want you to be collecting data off me at all times, but look at what you can do if you do It's that constant push pull of some sort of combination of privacy and agency, and then just the notion of like statistics, but, but there you are, but, but, yeah, but at the grid level, then I mean, like, yeah. I mean, you can sort of do the same thing where, like, you know, I mean, predictive maintenance is the obvious one, right? I have been writing about this for large enterprise software companies for 20 years, about building these data points, modeling out the lifetime of various important pieces equipment, making sure you replace them before you have downtime and terrible things happen. I mean, as we're as we're discussing this, look at poor Heathrow Airport. I am so glad I'm not flying today, electrical substation blowing out two days of the world's most important hub offline. So that's where predictive maintenance comes in from there. And, yeah, I mean, I, you know, I again, you know, modeling out, you know, energy flow to prevent grid outages, whether that's, you know, the ice storm here in Quebec a couple years ago. What was that? April 23 I think it was, yeah, coming up in two years. Or our last ice storm, we're not the big one, but that one, you know, where we had big downtime across the grid, like basically monitoring that and then I think the other big one for AI is like, Yeah, is this, this notion of having some sort of decision support as well, too, and sense of, you know, providing scenarios and modeling out at scale the potential of it? And I don't think, I don't know about this in a grid case, but the most interesting piece I wrote for Fast Company 20 years ago was an example, ago was an example of this, which was a fledgling air taxi startup, but they were combining an agent based model, so using primitive AI to create simple rules for individual agents and build a model of how they would behave, which you can create much more complex models. Now we could talk about agents and then marrying that to this kind of predictive maintenance and operations piece, and marrying the two together. And at that point, you could have a company that didn't exist, but that could basically model itself in real time every day in the life of what it is. You can create millions and millions and millions of Monte Carlo operations. And I think that's where perhaps both sides of AI come together truly like the large language models and agents, and then the predictive machine learning. And you could basically hydro or others, could build this sort of deep time machine where you can model out all of these scenarios, millions and millions of years worth, to understand how it flows and contingencies as well. And that's where it sort of comes up. So basically something happens. And like, not only do you have a set of plans, you have an AI that has done a million sets of these plans, and can imagine potential next steps of this, or where to deploy resources. And I think in general, that's like the most powerful use of this, going back to prediction machines and just being able to really model time in a way that we've never had that capability before. And so you probably imagine the use is better than I.   Trevor Freeman  27:58 Oh man, it's super fascinating, and it's timely. We've gone through the last little while at hydro Ottawa, an exercise of updating our playbook for emergencies. So when there are outages, what kind of outage? What's the sort of, what are the trigger points to go from, you know, what we call a level one to a level two to level three. But all of this is sort of like people hours that are going into that, and we're thinking through these scenarios, and we've got a handful of them, and you're just kind of making me think, well, yeah, what if we were able to model that out? And you bring up this concept of agents, let's tease into that a little bit explain what you mean when you're talking about agents.   Greg Lindsay  28:36 Yeah, so agentic systems, as the term of art is, AI instantiations that have some level of autonomy. And the archetypal example of this is the Stanford Smallville experiment, where they took basically a dozen large language models and they gave it an architecture where they could give it a little bit of backstory, ruminate on it, basically reflect, think, decide, and then act. And in this case, they used it to plan a Valentine's Day party. So they played out real time, and the LLM agents, like, even played matchmaker. They organized the party, they sent out invitations, they did these sorts of things. Was very cute. They put it out open source, and like, three weeks later, another team of researchers basically put them to work writing software programs. So you can see they organized their own workflow. They made their own decisions. There was a CTO. They fact check their own work. And this is evolving into this grand vision of, like, 1000s, millions of agents, just like, just like you spin up today an instance of Amazon Web Services to, like, host something in the cloud. You're going to spin up an agent Nvidia has talked about doing with healthcare and others. So again, coming back to like, the energy implications of that, because it changes the whole pattern. Instead of huge training runs requiring giant data centers. You know, it's these agents who are making all these calls and doing more stuff at the edge, but, um, but yeah, in this case, it's the notion of, you know, what can you put the agents to work doing? And I bring this up again, back to, like, predictive maintenance, or for hydro Ottawa, there's another amazing paper called virtual in real life. And I chatted with one of the principal authors. It created. A half dozen agents who could play tour guide, who could direct you to a coffee shop, who do these sorts of things, but they weren't doing it in a virtual world. They were doing it in the real one. And to do it in the real world, you took the agent, you gave them a machine vision capability, so added that model so they could recognize objects, and then you set them loose inside a digital twin of the world, in this case, something very simple, Google Street View. And so in the paper, they could go into like New York Central Park, and they could count every park bench and every waste bin and do it in seconds and be 99% accurate. And so agents were monitoring the landscape. Everything's up, because you can imagine this in the real world too, that we're going to have all the time. AIS roaming the world, roaming these virtual maps, these digital twins that we build for them and constantly refresh from them, from camera data, from sensor data, from other stuff, and tell us what this is. And again, to me, it's really exciting, because that's finally like an operating system for the internet of things that makes sense, that's not so hardwired that you can ask agents, can you go out and look for this for me? Can you report back on this vital system for me? And they will be able to hook into all of these kinds of representations of real time data where they're emerging from, and give you aggregated reports on this one. And so, you know, I think we have more visibility in real time into the real world than we've ever had before.   Trevor Freeman  31:13 Yeah, I want to, I want to connect a few dots here for our listeners. So bear with me for a second. Greg. So for our listeners, there was a podcast episode we did about a year ago on our grid modernization roadmap, and we talked about one of the things we're doing with grid modernization at hydro Ottawa and utilities everywhere doing this is increasing the sensor data from our grid. So we're, you know, right now, we've got visibility sort of to our station level, sometimes one level down to some switches. But in the future, we'll have sensors everywhere on our grid, every switch, every device on our grid, will have a sensor gathering data. Obviously, you know, like you said earlier, millions and hundreds of millions of data points every second coming in. No human can kind of make decisions on that, and what you're describing is, so now we've got all this data points, we've got a network of information out there, and you could create this agent to say, Okay, you are. You're my transformer agent. Go out there and have a look at the run temperature of every transformer on the network, and tell me where the anomalies are, which ones are running a half a degree or two degrees warmer than they should be, and report back. And now I know hydro Ottawa, that the controller, the person sitting in the room, knows, Hey, we should probably go roll a truck and check on that transformer, because maybe it's getting end of life. Maybe it's about to go and you can do that across the entire grid. That's really fascinating,   Greg Lindsay  32:41 And it's really powerful, because, I mean, again, these conversations 20 years ago at IoT, you know you're going to have statistical triggers, and you would aggregate these data coming off this, and there was a lot of discussion there, but it was still very, like hardwired, and still very Yeah, I mean, I mean very probabilistic, I guess, for a word that went with agents like, yeah, you've now created an actual thing that can watch those numbers and they can aggregate from other systems. I mean, lots, lots of potential there hasn't quite been realized, but it's really exciting stuff. And this is, of course, where that whole direction of the industry is flowing. It's on everyone's lips, agents.   Trevor Freeman  33:12 Yeah. Another term you mentioned just a little bit ago that I want you to explain is a digital twin. So tell us what a digital twin is.   Greg Lindsay  33:20 So a digital twin is, well, the matrix. Perhaps you could say something like this for listeners of a certain age, but the digital twin is the idea of creating a model of a piece of equipment, of a city, of the world, of a system. And it is, importantly, it's physics based. It's ideally meant to represent and capture the real time performance of the physical object it's based on, and in this digital representation, when something happens in the physical incarnation of it, it triggers a corresponding change in state in the digital twin, and then vice versa. In theory, you know, you could have feedback loops, again, a lot of IoT stuff here, if you make changes virtually, you know, perhaps it would cause a change in behavior of the system or equipment, and the scales can change from, you know, factory equipment. Siemens, for example, does a lot of digital twin work on this. You know, SAP, big, big software companies have thought about this. But the really crazy stuff is, like, what Nvidia is proposing. So first they started with a digital twin. They very modestly called earth two, where they were going to model all the weather and climate systems of the planet down to like the block level. There's a great demo of like Jensen Wong walking you through a hurricane, typhoons striking the Taipei, 101, and how, how the wind currents are affecting the various buildings there, and how they would change that more recently, what Nvidia is doing now is, but they just at their big tech investor day, they just partner with General Motors and others to basically do autonomous cars. And what's crucial about it, they're going to train all those autonomous vehicles in an NVIDIA built digital twin in a matrix that will act, that will be populated by agents that will act like people, people ish, and they will be able to run millions of years of autonomous vehicle training in this and this is how they plan to catch up to. Waymo or, you know, if Tesla's robotaxis are ever real kind of thing, you know, Waymo built hardwired like trained on real world streets, and that's why they can only operate in certain operating domain environments. Nvidia is gambling that with large language models and transformer models combined with digital twins, you can do these huge leapfrog effects where you can basically train all sorts of synthetic agents in real world behavior that you have modeled inside the machine. So again, that's the kind, that's exactly the kind of, you know, environment that you're going to train, you know, your your grid of the future on for modeling out all your contingency scenarios.   Trevor Freeman  35:31 Yeah, again, you know, for to bring this to the to our context, a couple of years ago, we had our the direcco. It's a big, massive windstorm that was one of the most damaging storms that we've had in Ottawa's history, and we've made some improvements since then, and we've actually had some great performance since then. Imagine if we could model that derecho hitting our grid from a couple different directions and figure out, well, which lines are more vulnerable to wind speeds, which lines are more vulnerable to flying debris and trees, and then go address that and do something with that, without having to wait for that storm to hit. You know, once in a decade or longer, the other use case that we've talked about on this one is just modeling what's happening underground. So, you know, in an urban environments like Ottawa, like Montreal, where you are, there's tons of infrastructure under the ground, sewer pipes, water pipes, gas lines, electrical lines, and every time the city wants to go and dig up a road and replace that road, replace that sewer, they have to know what's underground. We want to know what's underground there, because our infrastructure is under there. As the electric utility. Imagine if you had a model where you can it's not just a map. You can actually see what's happening underground and determine what makes sense to go where, and model out these different scenarios of if we underground this line or that line there. So lots of interesting things when it comes to a digital twin. The digital twin and Agent combination is really interesting as well, and setting those agents loose on a model that they can play with and understand and learn from. So talk a little bit about.   Greg Lindsay  37:11 that. Yeah. Well, there's a couple interesting implications just the underground, you know, equipment there. One is interesting because in addition to, like, you know, you know, having captured that data through mapping and other stuff there, and having agents that could talk about it. So, you know, next you can imagine, you know, I've done some work with augmented reality XR. This is sort of what we're seeing again, you know, meta Orion has shown off their concept. Google's brought back Android XR. Meta Ray Bans are kind of an example of this. But that's where this data will come from, right? It's gonna be people wearing these wearables in the world, capturing all this camera data and others that's gonna be fed into these digital twins to refresh them. Meta has a particularly scary demo where you know where you the user, the wearer leaves their keys on their coffee table and asks metas, AI, where their coffee where their keys are, and it knows where they are. It tells them and goes back and shows them some data about it. I'm like, well, to do that, meta has to have a complete have a complete real time map of your entire house. What could go wrong. And that's what all these companies aspire to of reality. So, but yeah, you can imagine, you know, you can imagine a worker. And I've worked with a startup out of urban X, a Canada startup, Canadian startup called context steer. And you know, is the idea of having real time instructions and knowledge manuals available to workers, particularly predictive maintenance workers and line workers. So you can imagine a technician dispatched to deal with this cut in the pavement and being able to see with XR and overlay of like, what's actually under there from the digital twin, having an AI basically interface with what's sort of the work order, and basically be your assistant that can help you walk you through it, in case, you know, you run into some sort of complication there, hopefully that won't be, you know, become like, turn, turn by turn, directions for life that gets into, like, some of the questions about what we wanted out of our workforce. But there's some really interesting combinations of those things, of like, you know, yeah, mapping a world for AIS, ais that can understand it, that could ask questions in it, that can go probe it, that can give you advice on what to do in it. All those things are very close for good and for bad.   Trevor Freeman  39:03 You kind of touched on my next question here is, how do we make sure this is all in the for good or mostly in the for good category, and not the for bad category you talk in one of the papers that you wrote about, you know, AI and augmented reality in particular, really expanding the attack surface for malicious actors. So we're creating more opportunities for whatever the case may be, if it's hacking or if it's malware, or if it's just, you know, people that are up to nefarious things. How do we protect against that? How do we make sure that our systems are safe that the users of our system. So in our case, our customers, their data is safe, their the grid is safe. How do we make sure that?   Greg Lindsay  39:49 Well, the very short version is, whatever we're spending on cybersecurity, we're not spending enough. And honestly, like everybody who is no longer learning to code, because we can be a quad or ChatGPT to do it, I. Is probably there should be a whole campaign to repurpose a big chunk of tech workers into cybersecurity, into locking down these systems, into training ethical systems. There's a lot of work to be done there. But yeah, that's been the theme for you know that I've seen for 10 years. So that paper I mentioned about sort of smart homes, the Internet of Things, and why people would want a smart home? Well, yeah, the reason people were skeptical is because they saw it as basically a giant attack vector. My favorite saying about this is, is, there's a famous Arthur C Clarke quote that you know, any sufficiently advanced technology is magic Tobias Ravel, who works at Arup now does their head of foresight has this great line, any sufficiently advanced hacking will feel like a haunting meaning. If you're in a smart home that's been hacked, it will feel like you're living in a haunted house. Lights will flicker on and off, and systems will turn and go haywire. It'll be like you're living with a possessed house. And that's true of cities or any other systems. So we need to do a lot of work on just sort of like locking that down and securing that data, and that is, you know, we identified, then it has to go all the way up and down the supply chain, like you have to make sure that there is, you know, a chain of custody going back to when components are made, because a lot of the attacks on nest, for example. I mean, you want to take over a Google nest, take it off the wall and screw the back out of it, which is a good thing. It's not that many people are prying open our thermostats, but yeah, if you can get your hands on it, you can do a lot of these systems, and you can do it earlier in the supply chain and sorts of infected pieces and things. So there's a lot to be done there. And then, yeah, and then, yeah, and then there's just a question of, you know, making sure that the AIs are ethically trained and reinforced. And, you know, a few people want to listeners, want to scare themselves. You can go out and read some of the stuff leaking out of anthropic and others and make clot of, you know, models that are trying to hide their own alignments and trying to, like, basically copy themselves. Again, I don't believe that anything things are alive or intelligent, but they exhibit these behaviors as part of the probabilistic that's kind of scary. So there's a lot to be done there. But yeah, we worked on this, the group that I do foresight with Arizona State University threat casting lab. We've done some work for the Secret Service and for NATO and, yeah, there'll be, you know, large scale hackings on infrastructure. Basically the equivalent can be the equivalent can be the equivalent to a weapons of mass destruction attack. We saw how Russia targeted in 2014 the Ukrainian grid and hacked their nuclear plans. This is essential infrastructure more important than ever, giving global geopolitics say the least, so that needs to be under consideration. And I don't know, did I scare you enough yet? What are the things we've talked through here that, say the least about, you know, people being, you know, tricked and incepted by their AI girlfriends, boyfriends. You know people who are trying to AI companions. I can't possibly imagine what could go wrong there.   Trevor Freeman  42:29 I mean, it's just like, you know, I don't know if this is 15 or 20, or maybe even 25 years ago now, like, it requires a whole new level of understanding when we went from a completely analog world to a digital world and living online, and people, I would hope, to some degree, learned to be skeptical of things on the internet and learned that this is that next level. We now need to learn the right way of interacting with this stuff. And as you mentioned, building the sort of ethical code and ethical guidelines into these language models into the AI. Learning is pretty critical for our listeners. We do have a podcast episode on cybersecurity. I encourage you to go listen to it and reassure yourself that, yes, we are thinking about this stuff. And thanks, Greg, you've given us lots more to think about in that area as well. When it comes to again, looking back at utilities and managing the grid, one thing we're going to see, and we've talked a lot about this on the show, is a lot more distributed generation. So we're, you know, the days of just the central, large scale generation, long transmission lines that being the only generation on the grid. Those days are ending. We're going to see more distributed generations, solar panels on roofs, batteries. How does AI help a utility manage those better, interact with those better get more value out of those things?   Greg Lindsay  43:51 I guess that's sort of like an extension of some of the trends I was talking about earlier, which is the notion of, like, being able to model complex systems. I mean, that's effectively it, right, like you've got an increasingly complex grid with complex interplays between it, you know, figuring out how to basically based on real world performance, based on what you're able to determine about where there are correlations and codependencies in the grid, where point where choke points could emerge, where overloading could happen, and then, yeah, basically, sort of building that predictive system to Basically, sort of look for what kind of complex emergent behavior comes out of as you keep adding to it and and, you know, not just, you know, based on, you know, real world behavior, but being able to dial that up to 11, so to speak, and sort of imagine sort of these scenarios, or imagine, you know, what, what sort of long term scenarios look like in terms of, like, what the mix, how the mix changes, how the geography changes, all those sorts of things. So, yeah, I don't know how that plays out in the short term there, but it's this combination, like I'm imagining, you know, all these different components playing SimCity for real, if one will.   Trevor Freeman  44:50 And being able to do it millions and millions and millions of times in a row, to learn every possible iteration and every possible thing that might happen. Very cool. Okay. So last kind of area I want to touch on you did mention this at the beginning is the the overall power implications of of AI, of these massive data centers, obviously, at the utility, that's something we are all too keenly aware of. You know, the stat that that I find really interesting is a normal Google Search compared to, let's call it a chat GPT search. That chat GPT search, or decision making, requires 10 times the amount of energy as that just normal, you know, Google Search looking out from a database. Do you see this trend? I don't know if it's a trend. Do you see this continuing like AI is just going to use more power to do its decision making, or will we start to see more efficiencies there? And the data centers will get better at doing what they do with less energy. What is the what does the future look like in that sector?   Greg Lindsay  45:55 All the above. It's more, is more, is more! Is the trend, as far as I can see, and every decision maker who's involved in it. And again, Jensen Wong brought this up at the big Nvidia Conference. That basically he sees the only constraint on this continuing is availability of energy supplies keep it going and South by Southwest. And in some other conversations I've had with bandwidth companies, telcos, like laying 20 lumen technologies, United States is laying 20,000 new miles of fiber optic cables. They've bought 10% of Corning's total fiber optic output for the next couple of years. And their customers are the hyperscalers. They're, they're and they're rewiring the grid. That's why, I think it's interesting. This has something, of course, for thinking about utilities, is, you know, the point to point Internet of packet switching and like laying down these big fiber routes, which is why all the big data centers United States, the majority of them, are in north of them are in Northern Virginia, is because it goes back to the network hub there. Well, lumen is now wiring this like basically this giant fabric, this patchwork, which can connect data center to data center, and AI to AI and cloud to cloud, and creating this entirely new environment of how they are all directly connected to each other through some of this dedicated fiber. And so you can see how this whole pattern is changing. And you know, the same people are telling me that, like, yeah, the where they're going to build this fiber, which they wouldn't tell me exactly where, because it's very tradable, proprietary information, but, um, but it's following the energy supplies. It's following the energy corridors to the American Southwest, where there's solar and wind in Texas, where you can get natural gas, where you can get all these things. It will follow there. And I of course, assume the same is true in Canada as we build out our own sovereign data center capacity for this. So even, like deep seek, for example, you know, which is, of course, the hyper efficient Chinese model that spooked the markets back in January. Like, what do you mean? We don't need a trillion dollars in capex? Well, everyone's quite confident, including again, Jensen Wong and everybody else that, yeah, the more efficient models will increase this usage. That Jevons paradox will play out once again, and we'll see ever more of it. To me, the question is, is like as how it changes? And of course, you know, you know, this is a bubble. Let's, let's, let's be clear, data centers are a bubble, just like railroads in 1840 were a bubble. And there will be a bust, like not everyone's investments will pencil out that infrastructure will remain maybe it'll get cheaper. We find new uses for it, but it will, it will eventually bust at some point and that's what, to me, is interesting about like deep seeking, more efficient models. Is who's going to make the wrong investments in the wrong places at the wrong time? But you know, we will see as it gathers force and agents, as I mentioned. You know, they don't require, as much, you know, these monstrous training runs at City sized data centers. You know, meta wanted to spend $200 billion on a single complex, the open AI, Microsoft, Stargate, $500 billion Oracle's. Larry Ellison said that $100 billion is table stakes, which is just crazy to think about. And, you know, he's permitting three nukes on site. So there you go. I mean, it'll be fascinating to see if we have a new generation of private, private generation, right, like, which is like harkening all the way back to, you know, the early electrical grid and companies creating their own power plants on site, kind of stuff. Nicholas Carr wrote a good book about that one, about how we could see from the early electrical grid how the cloud played out. They played out very similarly. The AI cloud seems to be playing out a bit differently. So, so, yeah, I imagine that as well, but, but, yeah, well, inference happen at the edge. We need to have more distributed generation, because you're gonna have AI agents that are going to be spending more time at the point of request, whether that's a laptop or your phone or a light post or your autonomous vehicle, and it's going to need more of that generation and charging at the edge. That, to me, is the really interesting question. Like, you know, when these current generation models hit their limits, and just like with Moore's law, like, you know, you have to figure out other efficiencies in designing chips or designing AIS, how will that change the relationship to the grid? And I don't think anyone knows quite for sure yet, which is why they're just racing to lock up as many long term contracts as they possibly can just get it all, core to the market.   Trevor Freeman  49:39 Yeah, it's just another example, something that comes up in a lot of different topics that we cover on this show. Everything, obviously, is always related to the energy transition. But the idea that the energy transition is really it's not just changing fuel sources, like we talked about earlier. It's not just going from internal combustion to a battery. It's rethinking the. Relationship with energy, and it's rethinking how we do things. And, yeah, you bring up, like, more private, massive generation to deal with these things. So really, that whole relationship with energy is on scale to change. Greg, this has been a really interesting conversation. I really appreciate it. Lots to pack into this short bit of time here. We always kind of wrap up our conversations with a series of questions to our guests. So I'm going to fire those at you here. And this first one, I'm sure you've got lots of different examples here, so feel free to give more than one. What is a book that you've read that you think everybody should read?   Greg Lindsay  50:35 The first one that comes to mind is actually William Gibson's Neuromancer, which is which gave the world the notion of cyberspace and so many concepts. But I think about it a lot today. William Gibson, Vancouver based author, about how much in that book is something really think about. There is a digital twin in it, an agent called the Dixie flatline. It's like a former program where they cloned a digital twin of him. I've actually met an engineering company, Thornton Thomas Eddie that built a digital twin of one of their former top experts. So like that became real. Of course, the matrix is becoming real the Turing police. Yeah, there's a whole thing in there where there's cops to make sure that AIS don't get smarter. I've been thinking a lot about, do we need Turing police? The EU will probably create them. And so that's something where you know the proof, again, of like science fiction, its ability in world building to really make you think about these implications and help for contingency planning. A lot of foresight experts I work with think about sci fi, and we use sci fi for exactly that reason. So go read some classic cyberpunk, everybody.   Trevor Freeman  51:32 Awesome. So same question. But what's a movie or a show that you think everybody should take a look at?   Greg Lindsay  51:38 I recently watched the watch the matrix with ideas, which is fun to think about, where the villains are, agents that villains are agents. That's funny how that terms come back around. But the other one was thinking about the New Yorker recently read a piece on global demographics and the fact that, you know, globally, less and less children. And it made several references to Alfonso Quons, Children of Men from 2006 which is, sadly, probably the most prescient film of the 21st Century. Again, a classic to watch, about imagining in a world where we don't where you where you lose faith in the future, what happens, and a world that is not having children as a world that's losing faith in its own future. So that's always haunted me.   Trevor Freeman  52:12 It's funny both of those movies. So I've got kids as they get, you know, a little bit older, a little bit older, we start introducing more and more movies. And I've got this list of movies that are just, you know, impactful for my own adolescent years and growing up. And both matrix and Children of Men are on that list of really good movies that I just need my kids to get a little bit older, and then I'm excited to watch with them. If someone offered you a free round trip flight anywhere in the world, where would you go?   Greg Lindsay  52:40 I would go to Venice, Italy for the Architecture Biennale, which I will be on a plane in May, going to anyway. And the theme this year is intelligence, artificial, natural and collective. So it should be interesting to see the world's brightest architects. Let's see what we got. But yeah, Venice, every time, my favorite city in the world.   Trevor Freeman  52:58 Yeah, it's pretty wonderful. Who is someone that you admire?   Greg Lindsay  53:01 Great question.

In this episode of Yet Another Value Podcast Book Club, host Andrew Walker is joined by Byrne Hobart of The Diff to explore Softwar, the 2003 biography of Oracle co-founder Larry Ellison. Together, they dissect the contradictions of Ellison's public and private personas, Oracle's aggressive sales culture, and the book's surprisingly prescient predictions about tech's future. They reflect on ERP nightmares, Oracle's early brushes with collapse, and its surprisingly fertile alumni network. The conversation probes the blurred line between visionary leadership and red flags, while tracing Ellison's uncanny resemblance to figures like Elon Musk. From petty footnotes to PR plays, it's a sharp look into one of tech's most enduring empires._______________________________________________________________[00:00:00] Introduction to the podcast and book.[00:01:48] Byrne joins the episode.[00:01:49] Quick disclaimer on investment advice.[00:02:37] Skipping the boating sections in book.[00:03:30] Initial thoughts on Oracle in 2003.[00:04:00] Larry Ellison's personality contradictions.[00:05:45] Oracle's sales tactics and benchmark claims.[00:07:00] Predictions on mobile and distributed systems.[00:08:44] ERP transition challenges explained.[00:10:03] Reasons to bet against Oracle.[00:12:04] Oracle's management style and red flags.[00:14:23] Intelligence connections and conspiracies.[00:15:54] Government ID advocacy post-9/11.[00:17:24] Comparing Larry Ellison to Elon Musk.[00:19:45] Book's structure and humorous footnotes.[00:22:55] Seibel rivalry and Oracle acquisitions.[00:25:11] PR's role in Oracle's strategy.[00:26:40] Market perceptions and quarterly focus.[00:30:03] Importance of sell-side analysts back then.[00:31:29] Anecdotes about market cap drops.[00:33:48] Oracle's executive alumni shaping tech.[00:36:23] Differences in tech executive pipelines.[00:38:51] GE's internal business training system.[00:41:09] Ellison's hiring practices and red flags.[00:44:05] PeopleSoft DOJ case and hypocrisy.[00:46:43] Safra Katz's rise at Oracle.[00:49:19] Oracle's leadership transition dynamics.[00:51:54] Book's narrative style and structure.[00:52:56] Author's omission of Ellison's childhood.[00:55:13] Ellison's charisma and software predictions.[00:58:33] Ellison's lasting influence and vision.[00:59:45] Tease for next month's book selection.Links:Yet Another Value Blog: https://www.yetanothervalueblog.com See our legal disclaimer here: https://www.yetanothervalueblog.com/p/legal-and-disclaimer

Alternate Current Radio Presents - Boiler Room - Learn to protect yourself from predatory mass media On this episode ‘Hesher' and the gang are discussing the looming purchase of Paramount/CBS Entertainment conglomerate by David Ellison, son of Larry Ellison. An in depth look at the 'A.I. Action Plan' recently published by the white house, the new Tesla Diner, the passing of Ozzy Osbourne, Hulk Hogan and Malcome Jamal Warner.... all this and moreFeaturing: Bryan ‘Hesher' McClain, Adam ‘Ruckus' Clark, Mystical Pharaoh & Mark AndersonWebsite: https://alternatecurrentradio.comSupport: https://alternatecurrentradio.com/support/Merch: https://alternate-current-radio.creator-spring.com/

Jon Herold delivers a fiery episode unpacking the Supreme Court's presidential immunity ruling and how it could shield Barack Obama from prosecution. He contrasts Trump's executive actions with Obama's alleged intelligence abuses, exploring whether treason can be cloaked in official duties. Jon also covers Trump's latest remarks on Epstein, college sports corruption, and executive orders targeting crime and mental health. Financial scrutiny hits the Federal Reserve's billion-dollar renovation, prompting questions about waste and Powell's potential rate cuts. Meanwhile, developments in Gaza, Syria, and Saudi investments point to broader global shifts. Other hot topics include Michigan's voter roll probe, failed government-run grocery stores, Lockheed Martin's black budget disaster, and media shakeups at CBS through Skydance's DEI purge, led by Larry Ellison's son. With sharp wit, legal curiosity, and pointed commentary, Jon lays out the high-stakes battles unfolding at home and abroad.

US television network CBS seemingly handed President Donald Trump two major victories this week after announcing $16 million would settle his lawsuit against “60 Minutes” and cancelling the show of one of his fiercest critics, Stephen Colbert. But will this mark a turning point for media freedom in the US? In this episode: Rusty Foster (@TodayinTabs), Writer, Today in Tabs Episode credits: This episode was produced by Diana Ferrero, Sarí el-Khalili, Tracie Hunte, and Tamara Khandaker, with Phillip Lanos, Spencer Cline, Melanie Marich, Kisaa Zehra, Marya Khan, and our guest host, Manuel Ràpalo. It was edited by Kylene Kiang. Our sound designer is Alex Roldan. Our video editors are Hisham Abu Salah and Mohannad Al-Melhem. Alexandra Locke is The Take’s executive producer. Ney Alvarez is Al Jazeera’s head of audio. Connect with us: @AJEPodcasts on X, Instagram, Facebook, and YouTube

LISTEN and SUBSCRIBE on:Apple Podcasts: https://podcasts.apple.com/us/podcast/watchdog-on-wall-street-with-chris-markowski/id570687608 Spotify: https://open.spotify.com/show/2PtgPvJvqc2gkpGIkNMR5i WATCH and SUBSCRIBE on:https://www.youtube.com/@WatchdogOnWallstreet/featured“Day One” was supposed to mean $100 billion. Instead? A golden shovel and no ground broken.In this episode of Watchdog on Wall Street:Why politicians love fake photo ops and fantasy investmentsThe truth behind Trump's AI announcement with Sam Altman, Larry Ellison, and Saudi royaltyHow the promised $500B “Stargate” venture hasn't delivered even a data centerWhy both parties inflate investment pledges—and why 10% follow-through is generousWhat “secured investment” really means (spoiler: not what they told you)Don't fall for the press releases. Until the checks clear and the concrete's poured—it's just talk. www.watchdogonwallstreet.com

Stargate. Het had hét project van de toekomst moeten zijn. Een AI-project van 500 miljard dollar, van SoftBank, OpenAI en de Amerikaanse regering. Er zou volgens president Trump 'gelijk' 100 miljard worden geïnvesteerd en er zouden 100.000 banen bijkomen.Je raadt het al. Dat is niet gebeurd. Sterker: Volgens The Wall Street Journal is er nog geen enkel datacenter gebouwd. SoftBank en OpenAI zouden ruzie met elkaar maken. Dat is slecht nieuws voor Trump, voor de Amerikaanse economie en voor aandelen. Welke, dat hoor je deze aflevering.Krijg je ook een update over de tarieven van Trump. Zijn onderhandelaar wil meer tijd om er met de Chinezen uit te komen. Ondertussen werken de Europeanen aan een tegenaanval.Deze aflevering stellen we een aantal slachtoffers aan je voor. Slachtoffers van Trump, allemaal op hun eigen manier. Om te beginnen met NXP. De chipmaker ziet al vijf kwartalen de omzet én winst dalen. En het leed is nog niet voorbij, want NXP denkt dat de omzet ook in dit kwartaal (in het derde kwartaal) afneemt.AkzoNobel kampt vooral met de zwakke dollar. Die raakt de winst van Akzo. De omzet die in dollars wordt gehaald, is minder waard in euro’s. General Motors spant echter de kroon. Dat wordt gigantisch geraakt door Trumps tarieven. Het kost ze ruim een miljard dollar, voor heel dit jaar denken ze aan 4 tot 5 miljard dollar. En het meest bizarre: ze gaan het niet doorberekenen aan klanten. See omnystudio.com/listener for privacy information.

Stargate. Het had hét project van de toekomst moeten zijn. Een AI-project van 500 miljard dollar, van SoftBank, OpenAI en de Amerikaanse regering. Er zou volgens president Trump 'gelijk' 100 miljard worden geïnvesteerd en er zouden 100.000 banen bijkomen.Je raadt het al. Dat is niet gebeurd. Sterker: Volgens The Wall Street Journal is er nog geen enkel datacenter gebouwd. SoftBank en OpenAI zouden ruzie met elkaar maken. Dat is slecht nieuws voor Trump, voor de Amerikaanse economie en voor aandelen. Welke, dat hoor je deze aflevering.Krijg je ook een update over de tarieven van Trump. Zijn onderhandelaar wil meer tijd om er met de Chinezen uit te komen. Ondertussen werken de Europeanen aan een tegenaanval.Deze aflevering stellen we een aantal slachtoffers aan je voor. Slachtoffers van Trump, allemaal op hun eigen manier. Om te beginnen met NXP. De chipmaker ziet al vijf kwartalen de omzet én winst dalen. En het leed is nog niet voorbij, want NXP denkt dat de omzet ook in dit kwartaal (in het derde kwartaal) afneemt.AkzoNobel kampt vooral met de zwakke dollar. Die raakt de winst van Akzo. De omzet die in dollars wordt gehaald, is minder waard in euro’s. General Motors spant echter de kroon. Dat wordt gigantisch geraakt door Trumps tarieven. Het kost ze ruim een miljard dollar, voor heel dit jaar denken ze aan 4 tot 5 miljard dollar. En het meest bizarre: ze gaan het niet doorberekenen aan klanten. See omnystudio.com/listener for privacy information.

In this episode of The Coral Capital Podcast former Financial Times editor and author of Gambling Man, joins Tiffany Kayo and James Riney for a conversation about one of Japan's most enigmatic figures: Masayoshi Son.Barber shares what it was like sitting across from Masa, why his story is more than a business saga, and how SoftBank's founder became a symbol of Japan's global ambitions and contradictions.We get into:• The early years: Pachinko, pseudonyms, and SoftBank before Silicon Valley• Behind-the-scenes stories of his deal with Donald Trump• The $500B Stargate Project with Sam Altman and Larry Ellison of OpenAI• Personal stories from Lionel's interviews with Masa, his family, and the unlikely figures who shaped his journey—including Steve Jobs Lionel's book: https://www.amazon.co.jp/-/en/Gambling-Man-Wild-Japan's-Masayoshi/dp/0241582725 The Japanese edition of the book will be launched soon.If you're working on something ambitious, we'd love to hear from you at Coral Capital!Get in touch with us here: bit.ly/contactcoralConnect with Lionel: LinkedIn: https://www.linkedin.com/in/lionel-barber-473826135/X: https://x.com/lionelbarberConnect with James:X: https://x.com/james_rineyLinkedIn: https://www.linkedin.com/in/jamesrineyConnect with Tiffany:X: https://x.com/tiffanykayoLinkedIn: https://www.linkedin.com/in/tiffanykayo/

C'est peut-être la fin d'un long feuilleton qui tient la tech mondiale en haleine depuis plus d'un an. TikTok, la célèbre application chinoise aux 170 millions d'utilisateurs aux États-Unis, pourrait finalement échapper au bannissement. Et ce, grâce à un accord à l'américaine, porté notamment… par Oracle, la société de Larry Ellison, proche de Donald Trump.On se souvient : en 2023, une loi permettait d'interdire TikTok sur le sol américain, au nom de la sécurité nationale. Washington redoutait que les données personnelles des utilisateurs ne tombent entre les mains de Pékin. Mais Donald Trump, alors encore très impliqué dans les discussions, avait suspendu à trois reprises l'application de cette interdiction, le temps de chercher un repreneur américain.Cette fois, on y est presque. Un consortium d'entreprises, dont Oracle serait la tête de pont, s'apprête à racheter les opérations américaines de TikTok. Une nouvelle version de l'application, distincte de l'actuelle, devrait apparaître sur les stores américains le 5 septembre 2025. Objectif : héberger toutes les données aux États-Unis, sur des serveurs gérés par Oracle, et assurer une prise de contrôle progressive par les nouveaux investisseurs. Mais attention, ce ne sera pas une simple copie conforme. Selon une enquête, ByteDance – la maison mère de TikTok – aurait préparé un double de son algorithme de recommandation, pour ne pas céder le modèle original. Car ce système, cœur du succès de TikTok, reste inégalé à ce jour.D'ici mars 2026, les utilisateurs devront migrer vers la nouvelle app, au risque de voir leur version actuelle désactivée. Une opération titanesque, qui vise à couper toute dépendance technologique à la Chine, même si ByteDance conserverait une participation minoritaire. Reste une inconnue : le feu vert de Pékin. Car dans un contexte de tensions commerciales croissantes entre les deux puissances, rien n'est encore gagné. Et côté usagers, il faudra s'attendre à quelques couacs : bugs, pertes de données ou interruptions de service ne sont pas à exclure pendant cette migration d'envergure. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Weber Wong is founder and CEO of FLORA: a powerful AI canvas, built specifically for creative work. The New York-based startup has raised more than $6 million, and built tooling that is loved by creatives at top studios like Pentagram, Instrument, and MSCHF.Weber has a background with diverse experiences spanning venture capital, investment banking, poetry, history, and more recently, studies on interactive art at the NYU Tisch School of the Arts. We discussed how these experiences shaped his approach to building one of the most exciting startups in the space of design and creative work today; and his unique perspective on the present and the future of design.Get 50% off FLORA's Pro Tier with code: DESIGNDISCIPLINEVisit our sponsors:* Framer: build websites, the easy way* Rize: magically track everything you do* Color AI: generate meaningful color palettes* Sublime: turn ideas into worlds of inspirationFrom the conversation:* Strategy by Lawrence Freedman* Innovators by Walter Isaacson* Source Code: My Beginnings by Bill Gates * Shoe Dog: A Memoir by the Creator of Nike by Phil Knight* The Power Broker by Robert A. Caro* Softwar: An Intimate Portrait of Larry Ellison and Oracle by Matthew Symonds* Virgil Abloh: Figures of Speech* Dieter Rams: The Complete Works by Klaus Klemp* Hiroshi Fujiwara: Fragment* Hiroshi Fujiwara: Fragment #2* Digital Art: 1960s to Now by Pita Arreolaflorafauna.ai | x.com/weberwongwong This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.designdisciplin.com/subscribe

Andrew For America talks about Palantir company and how the intelligence community and our government are working together to create a nation-wide AI computer database which will hold the personal information for every single American citizen. They will have it all...it will be the end of privacy as we know it. Andrew also talks about Project Stargate which is a construction project happening in Abeline, TX that will become a virtual hub for all things AI surveillance, involving Palantir and companies like Oracle and Open AI. Andrew plays clips from co-founders of Palantir, Alexander Karp and Peter Theil, as well as Sam Altman, Edward Snowden, Larry Ellison, Donald Trump, and others to help illustrate his points.The song selections are the songs, "Hope Remains" and the song "Beg to Differ" by the band In 2 Months.Visit allegedlyrecords.com and check out all of the amazing punk rock artists!Visit soundcloud.com/andrewforamerica1984 to check out Andrew's music!Like and Follow The Politics & Punk Rock Podcast PLAYLIST on Spotify!!!Check it out here: https://open.spotify.com/playlist/1Y4rumioeqvHfaUgRnRxsy...politicsandpunkrockpodcast.comhttps://linktr.ee/andrewforamericaFollow Future Is Now Coalition on Instagram @FutureIsOrgwww.futureis.org

SEASON 3 EPISODE 142: COUNTDOWN WITH KEITH OLBERMANN A-Block (1:45) SPECIAL COMMENT: The only “scum” here is Trump and the only thing that’s been “obliterated” is America’s reputation. We have now descended to that level of hell in which the entire purpose of the government of the United States is to say and shout and lie so loudly and so often that the insane, deteriorating, mentally-dissolving, international joke that IS the current president doesn’t yell at the fools and whores who work for him. He has now gotten the government of Israel to lie for him about his attack on Iran; he has now gotten his own government to issue assessments that not only completely contradict YESTERDAY’S assessments but completely contradict his OWN assessments; he has now gotten his own Director of National Intelligence – presumably under threat of being fired – to cherry-pick SOMEBODY’S intelligence, maybe ours, maybe Qatar’s, maybe Joe Rogan’s, who knows – and insist that it is NEW and it confirms his obsession that everybody in the country, everybody in the world, everybody in the universe, everybody YET TO BE BORN, agree with him that Iran’s nuclear capacity is quote “obliterated” and for all time and forever and no arguments and it’s the greatest military success since Hiroshima and Nagasaki and don’t you dare say otherwise, don’t you dare say inconclusive obliterated obliterated obliterated. Except that 24 hours ago Trump said… inconclusive. THERE ARE SEVERAL SIDEBARS to Zohran Mamdani’s startling first-round win in the Democratic primary for mayor here in Fun City. First: the tepidness of national Democratic support for him. Chuck Schumer, Hakeem Jeffries, and the rest of the gerontocracy better shape up fast because Mamdani won the MIDDLE class by doing the two things you idiots refused to even try to do last year: combine concern for the financial crushing OF the middle class, AND standing up for what’s right in the country and the world, including opposing Trump and ICE and punishing corrupt political cynics like Andrew Cuomo. The hesitation can only open an avenue for Eric Adams to whore himself out as a pro-business "centrist" who will be Trump's tool. B-Block (27:00) THE WORST PERSONS IN THE WORLD: Larry Ellison and my old ex-friend Jeff "You Should've Known I Was Lying To You" Shell have a plan for CBS News: more Bari Weiss. The one time we could've used propaganda and Voice of America in Iran, Kari Lake made sure we were off the air. And it's so easy to miss and to minimize, but Trump went full gay-bashing this week. Silence is compliance. C-Block (37:00) THINGS I PROMISED NOT TO TELL: Now that I'm with my fifth different network just doing baseball games (FanDuel Sports) it's a good time to revisit my departure from my first. A scant 28 years ago this month I left ESPN - but we came thisclose to keeping the relationship going just enough to continue the Sunday SportsCenter.See omnystudio.com/listener for privacy information.

Agenda: 04:21 - The Meta Acquisition Bombshell: Nat Friedman & Daniel Gross Join Facebook?! 06:00 - Facebook's $100 Billion Gamble: Can Zuck Buy the Future? 09:27 - The “Magic Room” Theory: Why Only Insiders Get Billion-Dollar Paydays 11:27 - Is Loyalty Dead in Silicon Valley? The Great Talent Exodus 16:00 - Harvey's $5 Billion Valuation: Genius or Bubble? 19:00 - The AI Gold Rush: Can Software Really Eat Human Labor? 22:00 - The B2B Unicorn Dilemma: Are There Enough $100B Companies? 25:00 - IPO Mania: Why Navan, Canva, and Circle Are Shaking Up the Markets 29:00 - Meme Stocks & Market Madness: The Circle Rollercoaster 32:00 - Canva's Billion-Dollar Question: Why Stay Private? 36:00 - Larry Ellison's Power Play: How to Buy Back Your Own Empire 39:00 - The Sales Tech Revolution: Why “Cheating” Tools Are the Next Big Thing 42:00 - Slack Lockdown: Is B2B Software About to Get Ugly? 45:00 - The Ultimate Quickfire: Will Trump Launch a Smartphone? Will the US Seize AI?    

O ranking das pessoas mais ricas do mundo é bastante volátil. Isso acontece porque a fortuna de boa parte desses bilionários está atrelada às ações de suas companhias. E qualquer pessoa que sabe um pouquinho de mercado financeiro, sabe que o mercado pode flutuar - e muito - de um dia para o outro. Não é a toa que se chama renda variável, né? Com a variação dos preços das ações, variam também as posições nos rankings. Foi justamente com essa movimentação que o bilionário Larry Ellisson, fundador da Oracle Corporation, uma gigante de computação em nuvem, voltou ao posto de segunda pessoa mais rica do no mundo na primeira quinzena de junho de 2025. As ações da companhia simplesmente atingirem um recorde histórico, o que acabou levando o próprio Elisson- e a fortuna dele, para as nuvens também. Depois de um relatório divulgado na quarta-feira, dia 11, as ações subiram 13% de uma vez e o movimento foi até descrito como um divisor de águas para a empresa e para o próprio fundador. Mas esse é só mais um momento de inflexão na vida do Larry Ellisson. A história de como ele fundou a empresa depois de conseguir um contrato com a CIA, a agencia de inteligência dos Estados Unidos, é muito maior que isso. Por essas razões, é a história dele que vai ser contada no episódio de hoje. 

Kash Patel asking us to trust him, 4.5 million sq ft data center in Alabama, Larry Ellison is sure you'll be on your best behavior, Hitler and guns. Tag us on Instagram and Matt or Kelly will buy you a sandwich in some future date and yet to be determined place As always, if you like (or don't like) what we're doing, let us know on your podcast app by leaving a review or reach out to us on Instagram. And, check out our website for the best subversive shirts, door mats, and coffee mugs while your money can still buy it at libertytreelifestyle.com Wanna support the show? Go to patreon.com/libertytree and become a member of the Liberty Tree Social Club Follow us and give us a review @Libertyupatree on twitter @Libertytreebrand on Instagram Order Kelly's Book The Great American Contractor  Love you guys Kelly and Matt      

HEADLINES the last 48 hours have been dominated by the public spat between President Trump and Elon Musk. What does it mean? To us, it seems like what pro wrestlers call kayfabe—a performance for the audience that looks real but is just an act. It's in the best interests of the government (at least as far as NASA and SpaceX are concerned) and Musk to patch things up. This could be a way to flush out people in the administration who aren't loyal to President Trump. On the other hand, if this is legit it could be President Trump's way of distancing himself from the “tech bros” like Musk, Peter Thiel, and Larry Ellison. We think that's less likely given the Trump administration's commitment to develop artificial intelligence. However, we note recent news stories about AI models that have lied, cheated, and threatened its engineers. And this week, it was reported that the newest OpenAI models rewrote its code during testing to avoid being shut down—in other words, refusing to obey a direct order! Also: Ukraine pulls the world closer to war with Operation Spider's Web; and pro-Israel conference in Dallas next week canceled due to credible security threats. Our new book The Gates of Hell is now available in paperback, Kindle, and as an audiobook at Audible! Derek's new book Destination: Earth, co-authored with Donna Howell and Allie Anderson, is now available in paperback, Kindle, and as an audiobook at Audible! Sharon's niece, Sarah Sachleben, was recently diagnosed with stage 4 bowel cancer, and the medical bills are piling up. If you are led to help, please go to GilbertHouse.org/hopeforsarah. Follow us! X (formerly Twitter): @pidradio | @sharonkgilbert | @derekgilbert | @gilberthouse_tvTelegram: t.me/gilberthouse | t.me/sharonsroom | t.me/viewfromthebunkerSubstack: gilberthouse.substack.comYouTube: @GilbertHouse | @UnravelingRevelationFacebook.com/pidradio —————— JOIN US AND SPECIAL GUEST CARL TEICHRIB IN ISRAEL! We will tour the Holy Land October 19–30, 2025, with an optional three-day extension in Jordan. For more information, log on to GilbertHouse.org/travel. Thank you for making our Build Barn Better project a reality! Our 1,200 square foot pole barn has a new HVAC system, epoxy floor, 100-amp electric service, new windows, insulation, lights, and ceiling fans! If you are so led, you can help out by clicking here: gilberthouse.org/donate. Get our free app! It connects you to this podcast, our weekly Bible studies, and our weekly video programs Unraveling Revelation and A View from the Bunker. The app is available for iOS, Android, Roku, and Apple TV. Links to the app stores are at pidradio.com/app. Video on demand of our best teachings! Stream presentations and teachings based on our research at our new video on demand site: gilberthouse.org/video! Think better, feel better! Our partners at Simply Clean Foods offer freeze-dried, 100% GMO-free food and delicious, vacuum-packed fair trade coffee from Honduras. Find out more at GilbertHouse.org/store/.

Are wellness retreats just luxury getaways, or can they transform your health? In this episode of the Habits and Hustle podcast, I speak with Dr. Vishal Patel, who explains how most wellness gadgets might be causing more stress than health benefits.  We explore the science behind Sensei's approach, including how thermal imaging can detect muscular imbalances before they cause pain, and why most saunas aren't hot enough to deliver benefits. Dr. Patel debunks popular wellness myths, shares why foot strength is the foundation of longevity, and explains why tracking obsession can be counterproductive.  Dr. Vishal Patel is the Chief Scientific Officer at Sensei, a wellness retreat company co-founded by Larry Ellison and Dr. David Agus. With a background as a physician with a PhD in genetics, Dr. Patel combines Western medicine with Eastern practices like Ayurveda to create evidence-based wellness approaches that focus on personalization rather than rigid rules. What We Discuss:  03:02 Personalized Wellness Programs 05:51 The Science of Eating and Nourishment 08:56 Understanding Body Mechanics for Longevity 12:03 Vishal Patel's Background and Expertise 14:54 Debunking Wellness Myths and Misinformation 20:13 The Science Behind Wellness Trends 25:14 Exploring Infrared Saunas and Their Efficacy 30:00 The Role of Data in Health Tracking 35:29 Understanding Plasmapheresis and Its Implications …and more! Thank you to our sponsors: Therasage: Head over to therasage.com and use code Be Bold for 15% off  TruNiagen: Head over to truniagen.com and use code HUSTLE20 to get $20 off any purchase over $100. Magic Mind: Head over to www.magicmind.com/jen and use code Jen at checkout. Air Doctor: Go to airdoctorpro.com and use promo code HUSTLE for up to $300 off and a 3-year warranty on air purifiers.  Bio.me: Link to daily prebiotic fiber here, code Jennifer20 for 20% off.  David: Buy 4, get the 5th free at davidprotein.com/habitsandhustle.   Find more from Jen:  Website: https://www.jennifercohen.com/ Instagram: @therealjencohen   Books: https://www.jennifercohen.com/books Speaking: https://www.jennifercohen.com/speaking-engagement Find more from Dr. Vishal Patel: Website: https://sensei.com/  LinkedIn: https://www.linkedin.com/in/vishal-n-patel-md-phd/ 

World leaders from Ukraine to Germany, the UK, France, and the U.S., are being caught with drugs of one sort or another. From cocaine to the recent report that Elon Musk, though he denies it, was nearly overdosing on ketamine, adderall, ecstasy and psychedelics during the campaign trail and after. The same has been reported of the WEF at Davos, people obsessed with magic mushrooms and hookers. Beyond the obvious motif of wealthy people splurging on carnal delights, there may be something darker at work, especially when considering that for years there has been speculation that the UN's own Meditation Room was actually a space for channeling sessions with spirits. The lore of Vril, dating to before WWII, involves a psychic energy used by an alien race - in occult lore the Vril were a society contacting aliens and spirits to obtain assistance in technological development. The term was originally coined by Edward Bulwer-Lytton in his 1871 novel ‘The Coming Race'. The techno-term “algorithm,” based on Persian mathematics, is itself connected to the Demon Star ALGOL, also known as a Demon's Eye. This “eye” plays a significant role in both fiction and modern technology.  Since 2025 began we have seen the full scale implementation of STARGATE, a program to develop gene-altering cancer shots (preceding the HHS-NIH announcement of universal flu and covid shots), and now recent contracts signed by PALANTIR by the Trump administration to create an all-knowing database of information on more than just American citizens. Itself followed up by a $795-million contract between the DOD and Palantir. STARGATE involves, of peculiar interest, OpenAI (to open an eye), Oracle (a prophet who can see beyond time), and Nvidia (the evil eye). The first company is run by Sam Altman, whose name means in Hebrew “name of the old God,” and Samael (the Talmudic archangel of seduction, accusation, and destruction) ‘altering-man'; whose recent announcement involves a device called ORB that verifies humans via iris scans and then gives them a WORLD ID / DIGITAL PASSPORT, WORLDCOIN GLOBAL CURRENCY, and UBI or Universal Basic Income; the scan verifies human-carbon, i.e., 666.  The second company is run by Larry Ellison, whose name means in Hebrew “light of my God Yahweh,” or “victory of the son of Elohim.” The third company is named after the seven deadly sins and the poison of the evil eye. PALANTIR was officially established by a guy “obsessed with warding of death... with a young person's blood,” Peter Thiel, whose name means “stone of the valley/below/abyss.” Alongside these technocrats are Yuval Harari, whose name means in Hebrew “streaming from the mountain,” and Elon Musk, whose X-AI, GROK, is named after a fictional martian language that means to “understand deeply,” from Robert Heinlein's ‘Stranger in a Strange Land'; its logo is the planet Saturn, god of time. Elon is also the name of a technologically advanced alien leader on the martian planet in the book ‘Mars: A Technical Tale', written by NASA father Wernher Von Braun. PALANTIR itself is named after palantír from Lord of the Rings (Saturn), a seeing-stone-crystal sphere used for communication and intelligence gathering. It is also where the Eye of Sauron was able to keep his eye on Middle Earth. Thiel is also co-founder of Rivendell 7 and Mithril Capital, both named after LOTR, the latter of which is a mythical elvish city. This is the same Thiel who fueled the rise of JD Vance into the White House, the now VP to POTUS Trump who just signed a deal with PALANTIR and who is assisting in pushing Musk's electric cars. Altman, Ellison, Harari, even Elon Musk “aspirationally,” are Jewish, with questions about Thiel's actual background speculated upon. The same is true for Larry Fink of BLACKROCK, Stephen Schwarzman of BLACKSTONE, Dan Zorella and Avi Yanus of BLACK CUBE, and even the general BLACKBOX AI that nobody seems able to comprehend even if they helped build it - Ellison says it is mostly coming from Israel and Tel Aviv. This is the same black cube that Jews wear and Muslims walk around, with black stone, in their holy city. PALANTIR'S history is peculiar too, not just its name. Peter Thiel started the company officially soon after 911 by using PayPal security algorithms. It was founded in May 2003, the same month and year that the US Information Awareness Office and DARPA renamed their Total Information Awareness program to Terrorism Information Awareness, and a few months before in September Congress pulled funding. The blueprint for this post-911 world, PNAC, was written by William Kristol and Robert Kagan, and the Patriot Act was co-authored by Michael Chertoff, former homeland security head, who helped sell body scanners to airports. All three of these men are jewish. As for PALANTIR, besides Thiel, Alex Karp and Stephen Cohen are major jewish founders alongside Joe Lonsdale and Nathan Gettings, the former of which had one of the least official roles. According to the Electronic Privacy Information Center writing about TIA: “Congress eliminated funding for the controversial project and closed the Pentagon's Information Awareness Office, which had developed TIA. This does not, however, necessarily signal the end of other government data-mining initiatives that are similar to TIA.”What was a DARPA-CIA-NSA-USIAO plan to “track individuals through collecting as much information about them as possible and using computer algorithms and human analysis to detect potential activity,” suddenly became PALANTIR unofficially, even though both the NSA and PALANTIR both ran a PRISM program - a program we learned about from Edward Snowden in June 2013, just 3 months before Katy Perry released her first “dark” album called PRISM. The goal of PRISM was to retrieve data directly from Microsoft, Yahoo, Google, Facebook, PalTalk, AOL, Skype, YouTube, and Apple. And what is a prism but a three-dimensional solid shape; a polyhedron like a cube; a glass device that breaks down white light.Beyond data acquisition, the goal was techno-super-natural: “understand and even preempt' future action,” wrote the New York Times. The NYT reported that conveniently PALANTIR “secured an estimated $2 million from In-Q-Tel, a venture-capital firm that finances the development of technologies that can help the C.I.A.” That's the same In-Q-Tel where, at one of their conferences, David Petraeus, former CIA director, said that the Internet of PCs and Things “are learning to perceive - to actually sense and respond.” Soon after we saw the emergence of Q-Anon, a Self Organizing Collective Intelligence, which today with AI-models trained on human data, are convincing people they are unlocking the secrets and conspiracies of the universe and becoming prophets. As per a recent Rolling Stone article, “Self-styled prophets are claiming they have 'awakened' chatbots and accessed the secrets of the universe through ChatGPT.”FREE ARCHIVE (w. ads)SUBSCRIPTION ARCHIVEX / TWITTER FACEBOOKYOUTUBEMAIN WEBSITECashApp: $rdgable Paypal email rdgable1991@gmail.comEMAIL: rdgable@yahoo.com / TSTRadio@protonmail.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-secret-teachings--5328407/support.

A mysterious sphere was seen in the sky over the Columbian city of Buga back in march, 2025, before being recovered on the ground. It has sparked considerable debate due to both its mysterious origin and a series of archaic and archetypical symbols etched on its surface. Researchers have translated the symbols via AI to the following: “The origin of birth through union and energy in the cycle of transformation, meeting point of unity, expansion, and consciousness — individual consciousness.” Those researchers then gave their interpretation of the message: “We interpret it as a message to humanity, encouraging a collective shift in consciousness to help Mother Earth — especially considering the current issues with pollution and environmental decline.”According to Dr Julia Mossbridge, cognitive neuroscientist, “The sphere itself seems kind of like an art project… If an artist is doing this, why is that? Well, I think it's partly the same reason. It's because we're learning that we don't understand what's in our skies or our waters. And there's something going on that's essentially bigger than us.”One of the men who found the sphere, named only as Jose, felt sick for days after touching the orb: “When I poured water on it, it started to smoke, and the water vaporized instantly,” he added. What we have here is an old story, one that is rooted in both collective mythology and UFO legend. Roswell, Kecksburg, and Rendlesham lore maintain mysterious symbols on the craft, Roswell famously had metal that couldn't be altered and had mystical powers, the Flatwoods monster case involved a family and dog becoming sick, and the core reasoning of countless UFO abductions and “alien” interactions involve warnings over pollution and environmentalism.  The spherical shape of the Buga object is both an archetypical UFO and a traditional symbol of the soul. Back in April, 1974, the Betz family found a mysterious sphere near their home on Fort George Island, Florida. Slightly smaller than a bowling ball but weighing about 30lbs, it was strongly affected by solar radiation. Researchers from Louisiana “found radio waves coming from it and a magnetic field around it,” and the US Navy's attempt to x-ray the sphere initially failed because the “machine wasn't strong enough to penetrate the steel.” It was determined later the sphere was of human origin. In Coast Rica there are hundreds of stone spheres, while metallic microspheres have been reported in crop circles. South African miners also found in the 1970s spherical objects ranging in size from a few millimeters to several centimeters. The Klerksdorp, Africa, spheres have also been found in Czech Republic and Cost Rica. While some argue they are geological in nature, others speculate they are artificial, which is shocking because they date to 2.8 billion years ago.  While on the subject of the spherical archetype, there is Sam Altman's (OpenAI) new ORB device: Time reports: “Stare into the heart of the plastic-and-silicon globe and it will map the unique furrows and ciliary zones of your iris. Seconds later, you'll receive inviolable proof of your humanity: a 12,800-digit binary number, known as an iris code, sent to an app on your phone. At the same time, a packet of cryptocurrency called Worldcoin, worth approximately $42, will be transferred to your digital wallet—your reward for becoming a ‘verified human'.”By scanning the iris, the ORB can determine your humanity, which is ultimately based on 6 protons, 6 neutrons, and 6 electrons, i.e., carbon - the mark of the beast. Built by Tools for Humanity, “It aims to verify 50 million people by the end of 2025; ultimately its goal is to sign up every single human being on the planet. The free crypto serves as both an incentive for users to sign up, and also an entry point into what the company hopes will become the world's largest financial network, through which it believes ‘double-digit percentages of the global economy' will eventually flow.” Why do they need to be verified? Because Altman and TFH believe that incoming “AI AGENTS” will make it impossible to verify what or who is real. The ORB will be installed at gas stations and stores across the USA first, incentivized by free cryptocurrency and facilitating/issuing both a WORLD CURRENCY called Worldcoin and a “WORLD ID,” while providing for a “universal basic income (UBI).” Your identity will be based on the scanning of your “unique furrows and ciliary zones of your iris.” In other words, the gateway to your soul will be captured and used as a “mark” of your humanity. Without it, it's not just that you won't be able to “buy or sell,” you won't even be classified a HUMAN. Images of this “orb” from Time Magazine show the device resting in front of a black and white background, reminiscent of the masonic floor, while the device itself is an artificial all-seeing eye. Elon Musk works in league with Yuval Harari, Sam Altman, and Larry Ellison, the latter two behind the Stargate Project, rushing to gather data for gene specific injections to change DNA. Their names are very telling in Hebrew: Yuval Harari means “streaming from the mountain”; Sam Altman means “name of the old God” and also “Samael, the seducer and accuser” “altering man”; and Larry Ellison means “light of my God Yahweh,” or “victory of the son of Elohim.” Take the names of their companies too: OpenAI, Oracle, and Nvidia (associated with the evil eye). Take Musk's X platform AI called Grok, whose logo is the eye of Saturn. The sons of Elohim are those who have a covenant with (A) God and are selected to be the rulers of planet earth. It now makes perfect sense why Israel is the central leader of this technology; why the black cube is central in artificial intelligence development, including MIT's use of the image, and blackbox AI; and why Jews wear them on their heads or why Muslims walk around one seven times. Think about the shadowy Israeli firm Black Cube or the Larry Fink run BlackRock, not to mention the mostly Israeli Black Box AI. The square is the world and the sphere is the soul-spirit. If the humanity can be reduced to raw energy and data via an artificial spherical device, that scans the gateway, then rather than the soul-spirit inhabiting a body the body will be plugged into the black cube and only carnal urges will remain. *The is the FREE archive, which includes advertisements. If you want an ad-free experience, you can subscribe below underneath the show description.-FREE ARCHIVE (w. ads)SUBSCRIPTION ARCHIVEX / TWITTER FACEBOOKYOUTUBEMAIN WEBSITECashApp: $rdgable Paypal email rdgable1991@gmail.comEMAIL: rdgable@yahoo.com / TSTRadio@protonmail.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-secret-teachings--5328407/support.

Audio FileGround Truths can also be found on Apple Podcasts, Spotify and YouTube.The UK is the world leader in human genomics, and laid the foundation for advancing medicine with the UK Biobank, Genomes England and now Our Future Health (w/ 5 million participants). Sir John Bell is a major force in driving and advising these and many other initiatives. After 22 years as the Regius Professor of Medicine at the University of Oxford he left in 2024 to be President of the Ellison Institute of Technology. Professor Bell has been duly recognized in the UK: knighted in 2015 and appointed Companion of Honor in 2023. In our conversation, you will get a sense for how EIT will be transformational for using A.I. and life science for promoting human health.Transcript with audio links Eric Topol (00:06):Hello, this is Eric Topol from Ground Truths. And I'm really delighted to welcome today, Sir John Bell who had an extraordinary career as a geneticist, immunologist, we'll talk about several initiatives he's been involved with during his long tenure at University of Oxford, recently became head of the Ellison Institute of Technology (EIT) in the UK. So welcome, John.Sir John Bell (00:30):Thanks, Eric. Thanks very much for having me.Eric Topol (00:34):Well, I think it's just extraordinary the contributions that you have made and continue to make to advance medicine, and I thought what we could do is get into that. I mean, what's interesting, you have had some notable migrations over your career, I think starting in Canada, at Stanford, then over as Rhodes Scholar in Oxford. And then you of course had a couple of decades in a very prestigious position, which as I understand was started in 1546 by King Henry VII, and served as the Regius Professor of Medicine at the University of Oxford. Do I have that right?Sir John Bell (01:11):It was actually Henry VIII, but you were close.Eric Topol (01:14):Henry VIII, that's great. Yeah. Okay, good. Well, that's a pretty notable professorship. And then of course in recent times you left to head up this pretty formidable new institute, which is something that's a big trend going on around the world, particularly in the US and we'll talk about. So maybe we can start with the new thing. Tell us more about the Ellison Institute of Technology (EIT), if you will.Sir John Bell (01:47):Yeah. So as you know, Larry Ellison has been one of the great tech entrepreneurs focused really on developing terrific databases over his career and through Oracle, which is the company that he founded. And Larry is really keen to try and give back something substantial to the world, which is based on science and technology. So he and I did quite a bit together over the Covid pandemic. He and I talked a lot about what we're doing and so on. He came to visit afterwards and he had, I think he decided that the right way to make his contributions would be to set up an institute that would be using the state-of-the-art science and technology with a lot of AI and machine learning, but also some of the other modern tools to address the major problems in healthcare, in food security, in green energy and climate change and in global governance.Sir John Bell (02:49):So anyway, he launched this about 18 months ago. He approached me to ask whether I would run it. He wanted to set it up outside Oxford, and he wanted to do something which is a bit different than others. And that is his view was that we needed to try and create solutions to these problems which are commercially viable and not all the solutions are going to be commercially viable, but where you can create those, you make them sustainable. So the idea is to make sure that we create solutions that people want to buy, and then if they buy them, you can create a sustainable solution to those issues. So we are actually a company, but we are addressing many of the same problems that the big foundations are addressing. And the big issues that you and I talk about in health, for example, are all on our list. So we're kind of optimistic as to where this will go and Larry's supporting the project and we're going to build out an institute here which will have about 5,000 people in it, and we'll be, I think a pretty exciting new addition to the science and technology ecosystem globally.Eric Topol (04:02):Well, I know the reverberations and the excitement is palpable and some of the colleagues I've spoken to, not just in England, but of course all over the world. So congratulations on that. It was a big move for you to leave the hardcore academics. And the other thing I wanted to ask you, John, is you had distinguished your career in immunology, in genetics, type 1 diabetes and other conditions, autoimmune conditions, and now you've really diversified, as you described with these different areas of emphasis at the new institute. Is that more fun to do it or do you have deputies that you can assign to things like climate change in other areas?Sir John Bell (04:50):Trust me, Eric, I'm not making any definitive decisions about areas I know nothing about, but part of this is about how do you set up leadership, run a team, get the right people in. And I have to say one of the really interesting things about the institute is we've been able to recruit some outstanding people across all those domains. And as you know, success is almost all dependent on people. So we're really pretty optimistic we're going to have a significant impact. And of course, we also want to take risks because not a lot of point in us doing stuff that everybody else is doing. So we're going to be doing some things that are pretty way out there and some of them will fail, so we are just going to get used to trying to make sure we get a few of them across the finish line. But the other thing is that, and you've experienced this too, you never get too old to learn. I mean, I'm sucking up stuff that I never thought I would ever learn about, which is fun actually, and really marvel.Eric Topol (05:55):It's fantastic. I mean, you've really broadened and it's great that you have the runway to get these people on board and I think you're having a big building that's under construction?Sir John Bell (06:07):Yeah, we've got the original building that Larry committed to is about 330,000 square feet of space. I mean, this is completely amazing, but we are of course to accommodate up to 5,000 people, we're going to need more than that. So we are looking at a much wider campus here that'll involve more than just that building. I think we'll end up with several million square feet of space by the time we're finished. So mean, it's a really big project, but we've already made progress in some domains to try and get projects and the beginnings of companies on the road to try and solve some of the big problems. So we're quite excited about it.Eric Topol (06:49):Now you, I assume it's pretty close to Oxford, and will you have some kind of inter interactions that are substantial?Sir John Bell (06:58):Yeah, so the university's been terrific about this actually, because of course most universities would say, well, why don't you do it inside the university and just give us the money and it'll all be fine. So of course Larry. Larry wasn't born yesterday, so I said, well, thank you very much, but I think we'll probably do this nearby. But the university also realized this is a really exciting opportunity for them and we've got a really good relationship with them. We've signed an agreement with them as to who will work where. We've agreed not to steal a lot of their staff. We're going to be bringing new people into the ecosystem. Some of the university people will spend some time with us and sometime in the university, so that will help. But we're also bringing quite a few new people into the setting. So the university has been really positive. And I think one of the things that's attractive to the university, and you'll be familiar with this problem in the UK, is that we're quite good. The discovery science here is pretty good.Sir John Bell (08:06):And we do startups now at scale. So Oxford does lots of little startup companies in the biotech space and all the rest of it, but we never scale any of these companies because there isn't the depth of capital for scaling capital to get these things scaled. And so, in a way what we're trying to do here at Ellison actually avoids that problem because Larry knows how to scale companies, and we've got the financial support now. If we have things that are really successful, we can build the full stack solution to some of these problems. So I think the university is really intrigued as to how we might do that. We're going to have to bring some people in that know how to do that and build billion dollar companies, but it's sufficiently attractive. We've already started to recruit some really outstanding people. So as a way to change the UK system broadly, it's actually quite a good disruptive influence on the way the thing works to try and fix some of the fundamental problems.Eric Topol (09:07):I love that model and the ability that you can go from small startups to really transformative companies have any impact. It fits in well with the overall objectives, I can see that. The thing that also is intriguing regarding this whole effort is that in parallel we've learned your influence. The UK is a genomics world leader without any question and no coincidence that that's been your area of emphasis in your career. So we've watched these three initiatives that I think you were involved in the UK Biobank, which has had more impact than any cohort ever assembled. Every day there's another paper using that data that's coming out. There's Genomes England, and then now Our Future Health, which a lot of people don't know about here, which is well into the 5 million people enrollment. Can you tell us about, this is now 15 years ago plus when these were started, and of course now with a new one that's the biggest ever. What was your thinking and involvement and how you built the UK to be a world leader in this space?Sir John Bell (10:26):So if you turn the clock back 20 years, or actually slightly more than 25 years ago, it was clear that genomics was going to have a play. And I think many of us believed that there was going to be a genetic element to most of the major common disease turn out to be true. But at the time, there were a few skeptics, but it seemed to us that there was going to be a genetic story that underpinned an awful lot of human disease and medicine. And we were fortunate because in Oxford as you know, one of my predecessors in the Regius job was Richard Doll, and he built up this fantastic epidemiology capability in Oxford around Richard Peto, Rory Collins, and those folks, and they really knew how to do large scale epidemiology. And one of the things that they'd observed, which is it turns out to be true with genetics as well, is a lot of the effects are relatively small, but they're still quite significant. So you do need large scale cohorts to understand what you're doing. And it was really Richard that pioneered the whole thinking behind that. So when we had another element in the formula, which was the ability to detect genetic variation and put that into the formula, it seemed to me that we could move into an era where you could set up, again, large cohorts, but build into the ability to have DNA, interrogate the DNA, and also ultimately interrogate things like proteomics and metabolomics, which were just in their infancy at that stage.Sir John Bell (12:04):Very early on I got together because I was at that stage at the Nuffield Chair of Medicine, and I got together, Rory and Richard and a couple of others, and we talked a little bit about what it would look like, and we agreed that a half a million people late to middle age, 45 and above would probably over time when you did the power calculations, give you a pretty good insight in most of the major diseases. And then it was really a question of collecting them and storing the samples. So in order to get it funded at the time I was on the council of the MRC and George Radda, who you may remember, was quite a distinguished NMR physiologist here. He was the chief executive of the MRC. So I approached him and I said, look, George, this would be a great thing for us to do in the UK because we have all the clinical records of these people going back for a decade, and will continue to do that.Sir John Bell (13:01):Of course, we immediately sent it out to a peer review committee in the MRC who completely trashed the idea and said, you got to be joking. So I thought, okay, that's how that lasted. And I did say to George, I said, that must mean this is a really good idea because if it had gone straight through peer review, you would've known you were toast. So anyway, I think we had one more swing at peer review and decided in the end that wasn't going to work. In the end, George to his credit, took it to MRC council and we pitched it and everybody thought, what a great idea, let's just get on and do it. And then the Wellcome came in. Mark Walport was at the Wellcome at the time, great guy, and did a really good job at bringing the Wellcome on board.Sir John Bell (13:45):And people forget the quantum of money we had to do this at the time was about 60 million pounds. I mean, it wasn't astonishly small. And then of course we had a couple of wise people who came in to give us advice, and the first thing they said, well, if you ever thought you were really going to be able to do genetics on 500,000 people, forget it. That'll never work. So I thought, okay, I'll just mark that one out. And then they said, and by the way, you shouldn't assume you can get any data from the health service because you'll never be able to collect clinical data on any of these people. So I said, yeah, yeah, okay, I get it. Just give us the money and let us get on. So anyway, it's quite an interesting story. It does show how conservative the community actually is for new ideas.Sir John Bell (14:39):Then I chaired the first science committee, and we decided about a year into it that we really needed the chief executive. So we got Rory Collins to lead it and done it. I sat on the board then for the next 10 years, but well look, it was a great success. And as you say, it is kind of the paradigm for now, large genetic epidemiology cohorts. So then, as you know, I advise government for many years, and David Cameron had just been elected as Prime Minister. This was in about 2010. And at the time I'd been tracking because we had quite a strong genomics program in the Wellcome Trust center, which I'd set up in the university, and we were really interested in the genetics of common disease. It became clear that the price of sequencing and Illumina was now the clear leader in the sequencing space.Sir John Bell (15:39):But it was also clear that Illumina was making significant advances in the price of sequencing because as you remember, the days when it cost $5,000 to do a genome. Anyway, it became clear that they actually had technology that gets you down to a much more sensible price, something like $500 a genome. So I approached David and I said, we are now pretty sure that for many of the rare diseases that you see in clinical practice, there is a genetic answer that can be detected if you sequenced a whole genome. So why don't we set something up in the NHS to provide what was essentially the beginnings of a clinical service to help the parents of kids with various disabilities work out what's going on, what's wrong with their children. And David had had a child with Ohtahara syndrome, which as you know is again, and so David was very, he said, oh God, I'll tell you the story about how awful it was for me and for my wife Samantha.Sir John Bell (16:41):And nobody could tell us anything about what was going on, and we weren't looking for a cure, but it would've really helped if somebody said, we know what it is, we know what the cause is, we'll chip away and maybe there will be something we can do, but at least you know the answer. So anyway, he gave us very strong support and said to the NHS, can you please get on and do it? Again massive resistance, Eric as you can imagine, all the clinical geneticists said, oh my God, what are they doing? It's complete disaster, dah, dah, dah. So anyway, we put on our tin hats and went out and got the thing going. And again, they did a really good job. They got to, their idea was to get a hundred thousand genomes done in a reasonable timeframe. I think five years we set ourselves and the technology advance, people often underestimate the parallel development of technology, which is always going on. And so, that really enabled us to get that done, and it still continues. They're doing a big neonatal program at the moment, which is really exciting. And then I was asked by Theresa May to build a life science strategy because the UK, we do this stuff not as big and broad as America, but for a small country we do life sciences pretty well.Eric Topol (18:02):That's an understatement, by the way. A big understatement.Sir John Bell (18:04):Anyway, so I wrote the strategies in 2017 for Theresa about what we would do as a nation to support life sciences. And it was interesting because I brought a group of pharma companies together to say, look, this is for you guys, so tell us what you want done. We had a series of meetings and what became clear is that they were really interested in where healthcare was going to end up in the next 20 years. And they said, you guys should try and get ahead of that wave. And so, we agreed that one of the domains that really hadn't been explored properly, it was the whole concept of prevention.Sir John Bell (18:45):Early diagnosis and prevention, which they were smart enough to realize that the kind of current paradigm of treating everybody in the last six months of life, you can make money doing that, there's no doubt, but it doesn't really fix the problem. And so, they said, look, we would love it if you created a cohort from the age of 18 that was big enough that we could actually track the trajectories of people with these diseases, identify them at a presymptomatic stage, intervene with preventative therapies, diagnose diseases earlier, and see if we could fundamentally change the whole approach to public health. So we anyway, went back and did the numbers because of course at much wider age group, a lot of people don't get at all sick, but we thought if we collected 5 million people, we would probably have enough. That's 10% of the UK adult population.Sir John Bell (19:37):So anyway, amazingly the government said, off you go. We then had Covid, which as you know, kept you and I busy for a few years before we could get back to it. But then we got at it, and we hired a great guy who had done a bit of this in the UAE, and he came across and we set up a population health recruitment structure, which was community-based. And we rapidly started to recruit people. So we've now got 2.9 million people registered, 2.3 million people consented, and we've got blood in the bank and all the necessary data including questionnaire data for 1.5 million people growing up. So we will get to 5 million and it's amazing.Eric Topol (20:29):It is. It really is, and I'm just blown away by the progress you've made. And what was interesting too, besides you all weren't complacent about, oh, we got this UK Biobank and you just kept forging ahead. And by the way, I really share this importance of finally what has been a fantasy of primary prevention, which never really achieved. It's always, oh, after a heart attack. But that's what I wrote about in the Super Agers book, and I'll get you a copy.Sir John Bell (21:02):No, I know you're a passionate believer in this and we need to do a lot of things. So we need to work out what's the trial protocol for primary prevention. We need to get the regulators on board. We've got to get them to understand that we need diagnostics that define risk, not disease, because that's going to be a key bit of what we're going to try and do. And we need to understand that for a lot of these diseases, you have to intervene quite early to flatten that morbidity curve.Eric Topol (21:32):Yeah, absolutely. What we've learned, for example, from the UK Biobank is not just, of course the genomics that you touched on, but the proteomics, the organ clocks and all these other layers of data. So that gets me to my next topic, which I know you're all over it, which is AI.Eric Topol (21:51):So when I did the NHS review back in 2018, 2019, the group of people which were amazing that I had to work with no doubt why the UK punches well beyond its weight. I had about 50 people, and they just said, you know what? Yeah, we are the world leaders in genomics. We want to be the world leader in AI. Now these days you only hear about US and China, which is ridiculous. And you have perhaps one of the, I would say most formidable groups there with Demis and Google DeepMind, it's just extraordinary. So all the things that the main foci of the Ellison Institute intersect with AI.Sir John Bell (22:36):They do. And we, we've got two underpinning platforms, well actually three underpinning platforms that go across all those domains. Larry was really keen that we became a real leader in AI. So he's funded that with a massive compute capacity. And remember, most universities these days have a hard time competing on compute because it's expensive.Eric Topol (22:57):Oh yeah.Sir John Bell (22:58):So that is a real advantage to us. He's also funded a great team. We've recruited some people from Demis's shop who are obviously outstanding, but also others from around Europe. So we really, we've recruited now about 15 really outstanding machine learning and AI people. And of course, we're now thinking about the other asset that the UK has got, and particularly in the healthcare space is data. So we do have some really unique data sets because those are the three bits of this that you need if you're going to make this work. So we're pretty excited about that as an underpinning bit of the whole Ellison Institute strategy is to fundamentally underpin it with very strong AI. Then the second platform is generative biology or synthetic biology, because this is a field which is sort of, I hesitate to say limped along, but it's lacked a real focus.Sir John Bell (23:59):But we've been able to recruit Jason Chin from the LMB in Cambridge, and he is one of the real dramatic innovators in that space. And we see there's a real opportunity now to synthesize large bits of DNA, introduce them into cells, microbes, use it for a whole variety of different purposes, try and transform plants at a level that people haven't done before. So with AI and synthetic biology, we think we can feed all the main domains above us, and that's another exciting concept to what we're trying to do. But your report on AI was a bit of a turning point for the UK because you did point out to us that we did have a massive opportunity if we got our skates, and we do have talent, but you can't just do it with talent these days, you need compute, and you need data. So we're trying to assemble those things. So we think we'll be a big addition to that globally, hopefully.Eric Topol (25:00):Yeah. Well that's another reason why I am so excited to talk to you and know more about this Ellison Institute just because it's unique. I mean, there are other institutes as like Chan Zuckerberg, the Arc Institute. This is kind of a worldwide trend that we're seeing where great philanthropy investments are being seen outside of government, but none have the computing resources that are being made available nor the ability to recruit the AI scientists that'll help drive this forward. Now, the last topic I want to get into with you today is one that is where you're really grounded in, and that's the immune response.Eric Topol (25:43):So it's pretty darn clear now that, well, in medicine we have nothing. We have the white cell neutrophil to lymphocyte ratio, what a joke. And then on the other hand, we can do T and B cell sequencing repertoires, and we can do all this stuff, autoantibody screens, and the list goes on and on. How are we ever going to make a big dent in health where we know the immune system is such a vital part of this without the ability to check one's immune status at any point in time in a comprehensive way? What are your thoughts about that?Sir John Bell (26:21):Yeah, so you seem to be reading my mind there. We need to recruit you over here because I mean, this is exactly, this is one of our big projects that we've got that we're leaning into, and that is that, and we all experienced in Covid the ins and outs of vaccines, what works, what doesn't work. But what very clear is that we don't really know anything about vaccines. We basically, you put something together and you hope the trial works, you've got no intermediate steps. So we're building a really substantial immunophenotyping capability that will start to interrogate the different arms of the immune response at a molecular level so that we can use a combination of human challenge models. So we've got a big human challenge model facility here, use human challenge models with pathogens and with associated vaccines to try and interrogate which bits of the immune response are responsible for protection or therapy of particular immunologically mediated diseases or infectious diseases.Sir John Bell (27:30):And a crucial bit to that. And one of the reasons people have tried this before, but first of all, the depth at which you can interrogate the immune system has changed a lot recently, you can get a lot more data. But secondly, this is again, where the AI becomes important because it isn't going to be a simple, oh, it's the T-cell, it's going to be, well, it's a bit of the T cells, but it's also a bit of the innate immune response and don't forget mate cells and don't forget a bit of this and that. So we think that if we can assemble the right data set from these structured environments, we can start to predict and anticipate which type of immune response you need to stimulate both for therapy and for protection against disease. And hopefully that will actually create a whole scientific foundation for vaccine development, but also other kinds of immune therapy and things like cancer and potentially autoimmune disease as well. So that's a big push for us. We're just busy. The lab isn't set up. We've got somebody to run the lab now. We've got the human challenge model set up with Andy Pollard and colleagues. So we're building that out. And within six months, I think we'll be starting to collect data. So I'm just kind of hoping we can get the immune system in a bit more structured, because you're absolutely right. It's a bit pin the tail on the donkey at the moment. You have no idea what's actually causing what.Eric Topol (29:02):Yeah. Well, I didn't know about your efforts there, and I applaud that because it seems to me the big miss, the hole and the whole story about how we're going to advanced human health and with the recent breakthroughs in lupus and these various autoimmune diseases by just targeting CD19 B cells and resetting like a Ctrl-Alt-Delete of their immune system.Sir John Bell (29:27):No, it's amazing. And you wouldn't have predicted a lot of this stuff. I think that means that we haven't really got under the skin of the mechanistic events here, and we need to do more to try and get there, but there's steady advance in this field. So I'm pretty optimistic we'll make some headway in this space over the course of the next few years. So we're really excited about that. It's an important piece of the puzzle.Eric Topol (29:53):Yeah. Well, I am really impressed that you got all the bases covered here, and what a really exhilarating chance to kind of peek at what you're doing there. And we're going to be following it. I know I'm going to be following it very closely because I know all the other things that you've been involved with in your colleagues, big impact stuff. You don't take the little swings here. The last thing, maybe to get your comment, we're in a state of profound disruption here where science is getting gutted by a madman and his henchmen, whatever you want to call it, which is really obviously a very serious state. I'm hoping this is a short term hit, but worried that this will have a long, perhaps profound. Any words of encouragement that we're going to get through this from the other side of the pond?Sir John Bell (30:52):Well, I think regardless of the tariffs, the scientific community are a global community. And I think we need to remember that because our mission is a global mission, and we need to lean into that together. First of all, America is such a powerhouse of everything that's been done scientifically in the human health domain. But not only that, but across all the other domains that we work in, we can't really make the kind of progress that we need to without America being part of the agenda. So first of all, a lot of sympathy for you and your colleagues. I know it must be massively destabilizing for you, not be confident that the things that work are there to help you. But I'm pretty confident that this will settle down. Most of the science is for, well, all the science is really for public good, and I think the public recognizes it and they'll notice if it's not being prosecuted in the way that it has to be. And the global science community cannot survive without you. So we're all leaning in behind you, and I hope it will settle. One of my worries is that these things take years to set up and literally hours or minutes to destroy. So we can't afford to take years to set them back up again. So we do need to be a bit careful about that, but I still have huge confidence in what you guys can achieve and we're all behind you.Eric Topol (32:37):Well, that's really helpful getting some words of wisdom from you there, John. So this has been terrific. Thanks so much for joining, getting your perspective on what you're doing, what's important is so essential. And we'll stay tuned for sure.Sir John Bell (32:59):And come and visit us at the EIT, Eric. We'd be glad to see you.*******************************Some of the topics that John and I discussed—immunology, A.I., genomics, and prevention—are emphasized in my new book SUPER AGERS. A quick update: It will have a new cover after making the New York Times Bestseller list and is currently ranked #25 for all books on Amazon. Thanks to so many of you for supporting the book!Here are a few recent podcasts:Dax Shepard: Dr. Mike Sanjay Gupta ***********************Thanks for reading and subscribing to Ground Truths.If you found this interesting please share it!That makes the work involved in putting these together especially worthwhile.All content on Ground Truths— newsletters, analyses, and podcasts—is free, open-access.Paid subscriptions are voluntary and all proceeds from them go to support Scripps Research. They do allow for posting comments and questions, which I do my best to respond to. Please don't hesitate to post comments and give me feedback. Many thanks to those who have contributed—they have greatly helped fund our summer internship programs for the past two years. Get full access to Ground Truths at erictopol.substack.com/subscribe

Much has been made of the hallucinatory qualities of OpenAI's ChatGPT product. But as the Wall Street Journal's resident authority on OpenAI, Keach Hagey notes, perhaps the most hallucinatory feature the $300 billion start-up co-founded by the deadly duo of Sam Altman and Elon Musk is its attempt to be simultaneously a for-profit and non-profit company. As Hagey notes, the double life of this double company reached a surreal climax this week when Altman announced that OpenAI was abandoning its promised for-profit conversion. So what, I asked Hagey, are the implications of this corporate volte-face for investors who have poured billions of real dollars into the non-profit in order to make a profit? Will they be Waiting For Godot to get their returns?As Hagey - whose excellent biography of Altman, The Optimist, is out in a couple of weeks - explains, this might be the story of the hubristic 2020's. She speaks of Altman's astonishingly (even for Silicon Valley) hubris in believing that he can get away with the alchemic conceit of inventing a multi trillion dollar for-profit non-profit company. Yes, you can be half-pregnant, Sam is promising us. But, as she warns, at some point this will be exposed as fantasy. The consequences might not exactly be another Enron or FTX, but it will have ramifications way beyond beyond Silicon Valley. What will happen, for example, if future investors aren't convinced by Altman's fantasy and OpenAI runs out of cash? Hagey suggests that the OpenAI story may ultimately become a political drama in which a MAGA President will be forced to bail out America's leading AI company. It's TikTok in reverse (imagine if Chinese investors try to acquire OpenAI). Rather than the conveniently devilish Elon Musk, my sense is that Sam Altman is auditioning to become the real Jay Gatsby of our roaring twenties. Last month, Keach Hagey told me that Altman's superpower is as a salesman. He can sell anything to anyone, she says. But selling a non-profit to for-profit venture capitalists might even be a bridge too far for Silicon Valley's most hallucinatory optimist. Five Key Takeaways * OpenAI has abandoned plans to convert from a nonprofit to a for-profit structure, with pressure coming from multiple sources including attorneys general of California and Delaware, and possibly influenced by Elon Musk's opposition.* This decision will likely make it more difficult for OpenAI to raise money, as investors typically want control over their investments. Despite this, Sam Altman claims SoftBank will still provide the second $30 billion chunk of funding that was previously contingent on the for-profit conversion.* The nonprofit structure creates inherent tensions within OpenAI's business model. As Hagey notes, "those contradictions are still there" after nearly destroying the company once before during Altman's brief firing.* OpenAI's leadership is trying to position this as a positive change, with plans to capitalize the nonprofit and launch new programs and initiatives. However, Hagey notes this is similar to what Altman did at Y Combinator, which eventually led to tensions there.* The decision is beneficial for competitors like XAI, Anthropic, and others with normal for-profit structures. Hagey suggests the most optimistic outcome would be OpenAI finding a way to IPO before "completely imploding," though how a nonprofit-controlled entity would do this remains unclear.Keach Hagey is a reporter at The Wall Street Journal's Media and Marketing Bureau in New York, where she focuses on the intersection of media and technology. Her stories often explore the relationships between tech platforms like Facebook and Google and the media. She was part of the team that broke the Facebook Files, a series that won a George Polk Award for Business Reporting, a Gerald Loeb Award for Beat Reporting and a Deadline Award for public service. Her investigation into the inner workings of Google's advertising-technology business won recognition from the Society for Advancing Business Editing and Writing (Sabew). Previously, she covered the television industry for the Journal, reporting on large media companies such as 21st Century Fox, Time Warner and Viacom. She led a team that won a Sabew award for coverage of the power struggle inside Viacom. She is the author of “The King of Content: Sumner Redstone's Battle for Viacom, CBS and Everlasting Control of His Media Empire,” published by HarperCollins. Before joining the Journal, Keach covered media for Politico, the National in Abu Dhabi, CBS News and the Village Voice. She has a bachelor's and a master's in English literature from Stanford University. She lives in Irvington, N.Y., with her husband, three daughters and dog.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting the daily KEEN ON show, he is the host of the long-running How To Fix Democracy interview series. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children. Full TranscriptAndrew Keen: Hello, everybody. It is May the 6th, a Tuesday, 2025. And the tech media is dominated today by OpenAI's plan to convert its for-profit business to a non-profit side. That's how the Financial Times is reporting it. New York Times says that OpenAI, and I'm quoting them, backtracks on plans to drop nonprofit control and the Wall Street Journal, always very authoritative on the tech front, leads with Open AI abandons planned for profit conversion. The Wall Street Journal piece is written by Keach Hagey, who is perhaps America's leading authority on OpenAI. She was on the show a couple of months ago talking about Sam Altman's superpower which is as a salesman. Keach is also the author of an upcoming book. It's out in a couple weeks, "The Optimist: Sam Altman, OpenAI and the Race to Invent the Future." And I'm thrilled that Keach has been remarkably busy today, as you can imagine, found a few minutes to come onto the show. So, Keach, what is Sam selling here? You say he's a salesman. He's always selling something or other. What's the sell here?Keach Hagey: Well, the sell here is that this is not a big deal, right? The sell is that, this thing they've been trying to do for about a year, which is to make their company less weird, it's not gonna work. And as he was talking to the press yesterday, he was trying to suggest that they're still gonna be able to fundraise, that these folks that they promised that if you give us money, we're gonna convert to a for-profit and it's gonna be much more normal investment for you, but they're gonna get that money, which is you know, a pretty tough thing. So that's really, that's what he's selling is that this is not disruptive to the future of OpenAI.Andrew Keen: For people who are just listening, I'm looking at Keach's face, and I'm sensing that she's doing everything she can not to burst out laughing. Is that fair, Keach?Keach Hagey: Well, it'll remain to be seen, but I do think it will make it a lot harder for them to raise money. I mean, even Sam himself said as much during the talk yesterday that, you know, investors would like to be able to have some say over what happens to their money. And if you're controlled by a nonprofit organization, that's really tough. And what they were trying to do was convert to a new world where investors would have a seat at the table, because as we all remember, when Sam got briefly fired almost two years ago. The investors just helplessly sat on the sidelines and didn't have any say in the matter. Microsoft had absolutely no role to play other than kind of cajoling and offering him a job on the sidelines. So if you're gonna try to raise money, you really need to be able to promise some kind of control and that's become a lot harder.Andrew Keen: And the ramifications more broadly on this announcement will extend to Microsoft and Microsoft stock. I think their stock is down today. We'll come to that in a few minutes. Keach, there was an interesting piece in the week, this week on AI hallucinations are getting worse. Of course, OpenAI is the dominant AI company with their ChatGPT. But is this also kind of hallucination? What exactly is going on here? I have to admit, and I always thought, you know, I certainly know more about tech than I do about other subjects, which isn't always saying very much. But I mean, either you're a nonprofit or you're a for-profit, is there some sort of hallucinogenic process going on where Sam is trying to sell us on the idea that OpenAI is simultaneously a for profit and a nonprofit company?Keach Hagey: Well, that's kind of what it is right now. That's what it had sort of been since 2019 or when it spun up this strange structure where it had a for-profit underneath a nonprofit. And what we saw in the firing is that that doesn't hold. There's gonna come a moment when those two worlds are going to collide and it nearly destroyed the company. To be challenging going forward is that that basic destabilization that like unstable structure remains even though now everything is so much bigger there's so much more money coursing through and it's so important for the economy. It's a dangerous position.Andrew Keen: It's not so dangerous, you seem still faintly amused. I have to admit, I'm more than faintly amused, it's not too bothersome for us because we don't have any money in OpenAI. But for SoftBank and the other participants in the recent $40 billion round of investment in OpenAI, this must be, to say the least, rather disconcerting.Keach Hagey: That was one of the biggest surprises from the press conference yesterday. Sam Altman was asked point blank, is SoftBank still going to give you this sort of second chunk, this $30 billion second chunk that was contingent upon being able to convert to a for-profit, and he said, quite simply, yes. Who knows what goes on in behind the scenes? I think we're gonna find out probably a lot more about that. There are many unanswered questions, but it's not great, right? It's definitely not great for investors.Andrew Keen: Well, you have to guess at the very minimum, SoftBank would be demanding better terms. They're not just going to do the same thing. I mean, it suddenly it suddenly gives them an additional ace in their hand in terms of negotiation. I mean this is not some sort of little startup. This is 30 or 40 billion dollars. I mean it's astonishing number. And presumably the non-public conversations are very interesting. I'm sure, Keach, you would like to know what's being said.Keach Hagey: Don't know yet, but I think your analysis is pretty smart on this matter.Andrew Keen: So if you had to guess, Sam is the consummate salesman. What did he tell SoftBank before April to close the round? And what is he telling them now? I mean, how has the message changed?Keach Hagey: One of the things that we see a little bit about this from the messaging that he gave to the world yesterday, which is this is going to be a simpler structure. It is going to be slightly more normal structure. They are changing the structure a little bit. So although the non-profit is going to remain in charge, the thing underneath it, the for-profit, is going change its structure a little bit and become kind of a little more normal. It's not going to have this capped profit thing where, you know, the investors are capped at 100 times what they put in. So parts of it are gonna become more normal. For employees, it's probably gonna be easier for them to get equity and things like that. So I'm sure that that's part of what he's selling, that this new structure is gonna be a little bit better, but it's not gonna be as good as what they were trying to do.Andrew Keen: Can Sam? I mean, clearly he has sold it. I mean as we joked earlier when we talked, Sam could sell ice to the Laplanders or sand to the Saudis. But these people know Sam. It's no secret that he's a remarkable salesman. That means that sometimes you have to think carefully about what he's saying. What's the impact on him? To what extent is this decision one more chip on the Altman brand?Keach Hagey: It's a setback for sure, and it's kind of a win for Elon Musk, his rival.Andrew Keen: Right.Keach Hagey: Elon has been suing him, Elon has been trying to block this very conversion. And in the end, it seems like it was actually the attorneys general of California and Delaware that really put the nail in the coffin here. So there's still a lot to find out about exactly how it all shook out. There were actually huge campaigns as well, like in the streets, billboards, posters. Polls saying, trying to put pressure on the attorney general to block this thing. So it was a broad coalition, I think, that opposed the conversion, and you can even see that a little bit in their speech. But you got to admit that Elon probably looked at this and was happy.Andrew Keen: And I'm sure Elon used his own X platform to promote his own agenda. Is this an example, Keach, in a weird kind of way of the plebiscitary politics now of Silicon Valley is that titans like Altman and Musk are fighting out complex corporate economic battles in the naked public of social media.Keach Hagey: Yes, in the naked public of social media, but what we're also seeing here is that it's sort of, it's become through the apparatus of government. So we're seeing, you know, Elon is in the Doge office and this conversion is really happening in the state AG's houses. So that's what's sort interesting to me is these like private fights have now expanded to fill both state and federal government.Andrew Keen: Last time we talked, I couldn't find the photo, but there was a wonderful photo of, I think it was Larry Ellison and Sam Altman in the Oval Office with Trump. And Ellison looked very excited. He looked extremely old as well. And Altman looked very awkward. And it's surprising to see Altman look awkward because generally he doesn't. Has Trump played a role in this or is he keeping out of it?Keach Hagey: As far as my current reporting right now, we have no reporting that Trump himself was directly involved. I can't go further than that right now.Andrew Keen: Meaning that you know something that you're not willing to ignore.Keach Hagey: Just I hope you keep your subscription to the Wall Street Journal on what role the White House played, I would say. But as far as that awkwardness, I don't know if you noticed that there was a box that day for Masa Yoshison to see.Andrew Keen: Oh yeah, and Son was in the office too, right, that was the third person.Keach Hagey: So it was a box in the podium, which I think contributed to the awkwardness of the day, because he's not a tall man.Andrew Keen: Right. To put it politely. The way that OpenAI spun it, in classic Sam Altman terms, is new funding to build towards AGI. So it's their Altman-esque use of the public to vindicate this new investment, is this just more quote unquote, and this is my word. You don't have to agree with it. Just sales pitch or might even be dishonesty here. I mean, the reality is, is new funding to build towards AGI, which is, artificial general intelligence. It's not new funding, to build toward AGI. It's new funding to build towards OpenAI, there's no public benefit of any of this, is there?Keach Hagey: Well, what they're saying is that the nonprofit will be capitalized and will sort of be hiring up and doing a bunch more things that it wasn't really doing. We'll have programs and initiatives and all of that. Which really, as someone who studied Sam's life, this sounds really a lot like what he did at Y Combinator. When he was head of Y Combinator, he also spun up a nonprofit arm, which is actually what OpenAI grew out of. So I think in Sam's mind, a nonprofit there's a place to go. Sort of hash out your ideas, it's a place to kind of have pet projects grow. That's where he did things like his UBI study. So I can sort of see that once the AGs are like, this is not gonna happen, he's like, great, we'll just make a big nonprofit and I'll get to do all these projects I've always wanted to do.Andrew Keen: Didn't he get thrown out of Y Combinator by Paul Graham for that?Keach Hagey: Yes, a little bit. You know, I would say there's a general mutiny for too much of that kind of stuff. Yeah, it's true. People didn't love it, and they thought that he took his eye off the ball. A little bit because one of those projects became OpenAI, and he became kind of obsessed with it and stopped paying attention. So look, maybe OpenAI will spawn the next thing, right? And he'll get distracted by that and move on.Andrew Keen: No coincidence, of course, that Sam went on to become a CEO of OpenAI. What does it mean for the broader AI ecosystem? I noted earlier you brought up Microsoft. I mean, I think you've already written on this and lots of other people have written about the fact that the relationship between OpenAI and Microsoft has cooled dramatically. As well as between Nadella and Altman. What does this mean for Microsoft? Is it a big deal?Keach Hagey: They have been hashing this out for months. So it is a big deal in that it will change the structure of their most important partner. But even before this, Microsoft and OpenAI were sort of locked in negotiations over how large and how Microsoft's stake in this new OpenAI will be valued. And that still has to be determined, regardless of whether it's a non-profit or a for-profit in charge. And their interests are diverging. So those negotiations are not as warm as they maybe would have been a few years ago.Andrew Keen: It's a form of polyamory, isn't it? Like we have in Silicon Valley, everyone has sex with everybody else, to put it politely.Keach Hagey: Well, OpenAI does have a new partner in Oracle. And I would expect them to have many more in terms of cloud computing partners going forward. It's just too much risk for any one company to build these huge and expensive data centers, not knowing that OpenAI is going to exist in a certain number of years. So they have to diversify.Andrew Keen: Keach, you know, this is amusing and entertaining and Altman is a remarkable individual, able to sell anything to anyone. But at what point are we really on the Titanic here? And there is such a thing as an iceberg, a real thing, whatever Donald Trump or other manufacturers of ontologies might suggest. At some point, this thing is going to end in a massive disaster.Keach Hagey: Are you talking about the Existence Force?Andrew Keen: I'm not talking about the Titanic, I'm talking about OpenAI. I mean, Parmi Olson, who's the other great authority on OpenAI, who won the FT Book of the Year last year, she's been on the show a couple of times, she wrote in Bloomberg that OpenAI can't have its money both ways, and that's what Sam is trying to do. My point is that we can all point out, excuse me, the contradictions and the hypocrisy and all the rest of it. But there are laws of gravity when it comes to economics. And at a certain point, this thing is going to crash, isn't it? I mean, what's the metaphor? Is it Enron? Is it Sam Bankman-Fried? What kind of examples in history do we need to look at to try and figure out what really is going on here?Keach Hagey: That's certainly one possibility, and there are a good number of people who believe that.Andrew Keen: Believe what, Enron or Sam Bankman-Fried?Keach Hagey: Oh, well, the internal tensions cannot hold, right? I don't know if fraud is even necessary so much as just, we've seen it, we've already seen it happen once, right, the company almost completely collapsed one time and those contradictions are still there.Andrew Keen: And when you say it happened, is that when Sam got pushed out or was that another or something else?Keach Hagey: No, no, that's it, because Sam almost got pushed out and then all of the funders would go away. So Sam needs to be there for them to continue raising money in the way that they have been raising money. And that's really going to be the question. How long can that go on? He's a young man, could go on a very long time. But yeah, I think that really will determine whether it's a disaster or not.Andrew Keen: But how long can it go on? I mean, how long could Sam have it both ways? Well, there's a dream. I mean maybe he can close this last round. I mean he's going to need to raise more than $40 billion. This is such a competitive space. Tens of billions of dollars are being invested almost on a monthly basis. So this is not the end of the road, this $40-billion investment.Keach Hagey: Oh, no. And you know, there's talk of IPO at some point, maybe not even that far away. I don't even let me wrap my mind around what it would be for like a nonprofit to have a controlling share at a public company.Andrew Keen: More hallucinations economically, Keach.Keach Hagey: But I mean, IPO is the exit for investors, right? That's the model, that is the Silicon Valley model. So it's going to have to come to that one way or another.Andrew Keen: But how does it work internally? I mean, for the guys, the sales guys, the people who are actually doing the business at OpenAI, they've been pretty successful this year. The numbers are astonishing. But how is this gonna impact if it's a nonprofit? How does this impact the process of selling, of building product, of all the other internal mechanics of this high-priced startup?Keach Hagey: I don't think it will affect it enormously in the short term. It's really just a question of can they continue to raise money for the enormous amount of compute that they need. So so far, he's been able to do that, right? And if that slows up in any way, they're going to be in trouble. Because as Sam has said many times, AI has to be cheap to be actually useful. So in order to, you know, for it to be widespread, for to flow like water, all of those things, it's got to be cheap and that's going to require massive investment in data centers.Andrew Keen: But how, I mean, ultimately people are putting money in so that they get the money back. This is not a nonprofit endeavor to put 40 billion from SoftBank. SoftBank is not in the nonprofit business. So they're gonna need their money back and the only way they generally, in my understanding, getting money back is by going public, especially with these numbers. How can a nonprofit go public?Keach Hagey: It's a great question. That's what I'm just phrasing. I mean, this is, you know, you talk to folks, this is what's like off in the misty distance for them. It's an, it's a fascinating question and one that we're gonna try to answer this week.Andrew Keen: But you look amused. I'm no financial genius. Everyone must be asking the same question.Keach Hagey: Well, the way that they've said it is that the for-profit will be, will have a, the non-profit will control the for profit and be the largest shareholder in it, but the rest of the shares could be held by public markets theoretically. That's a great question though.Andrew Keen: And lawyers all over the world must be wrapping their hands. I mean, in the very best case, it's gonna be lawsuits on this, people suing them up the wazoo.Keach Hagey: It's absolutely true. You should see my inbox right now. It's just like layers, layers, layer.Andrew Keen: Yeah, my wife. My wife is the head of litigation. I don't know if I should be saying this publicly anyway, I am. She's the head of Litigation at Google. And she lost some of her senior people and they all went over to AI. I'm big, I'm betting that they regret going over there can't be much fun being a lawyer at OpenAI.Keach Hagey: I don't know, I think it'd be great fun. I think you'd have like enormous challenges and have lots of billable hours.Andrew Keen: Unless, of course, they're personally being sued.Keach Hagey: Hopefully not. I mean, look, it is a strange and unprecedented situation.Andrew Keen: To what extent is this, if not Shakespearean, could have been written by some Greek dramatist? To what extend is this symbolic of all the hype and salesmanship and dishonesty of Silicon Valley? And in a sense, maybe this is a final scene or a penultimate scene in the Silicon Valley story of doing good for the world. And yet, of course, reaping obscene profit.Keach Hagey: I think it's a little bit about trying to have your cake and eat it too, right? Trying to have the aura of altruism, but also make something and make a lot of money. And what it seems like today is that if you started as a nonprofit, it's like a black hole. You can never get out. There's no way to get out, and that idea was just like maybe one step too clever when they set it up in the beginning, right. It seemed like too good to be true because it was. And it might end up really limiting the growth of the company.Andrew Keen: Is Sam completely in charge here? I mean, a number of the founders have left. Musk, of course, when you and I talked a couple of months ago, OpenAI came out of conversations between Musk and Sam. Is he doing this on his own? Does he have lieutenants, people who he can rely on?Keach Hagey: Yeah, I mean, he does. He has a number of folks that have been there, you know, a long time.Andrew Keen: Who are they? I mean, do we know their names?Keach Hagey: Oh, sure. Yeah. I mean, like Brad Lightcap and Jason Kwon and, you know, just they're they're Greg Brockman, of course, still there. So there are a core group of executives that have that have been there pretty much from the beginning, close to it, that he does trust. But if you're asking, like, is Sam really in control of this whole thing? I believe the answer is yes. Right. He is on the board of this nonprofit, and that nonprofit will choose the board of the for-profit. So as long as that's the case, he's in charge.Andrew Keen: How divided is OpenAI? I mean, one of the things that came out of the big crisis, what was it, 18 months ago when they tried to push him out, was it was clearly a profoundly divided company between those who believed in the nonprofit mission versus the for-profit mission. Are those divisions still as acute within the company itself? It must be growing. I don't know how many thousands of people work.Keach Hagey: It has grown very fast. It is not as acute in my experience. There was a time when it was really sort of a warring of tribes. And after the blip, as they call it, a lot of those more safety focused people, people that subscribe to effective altruism, left or were kind of pushed out. So Sam took over and kind of cleaned house.Andrew Keen: But then aren't those people also very concerned that it appears as if Sam's having his cake and eating it, having it both ways, talking about the company being a non-profit but behaving as if it is a for-profit?Keach Hagey: Oh, yeah, they're very concerned. In fact, a number of them have signed on to this open letter to the attorneys general that dropped, I don't know, a week and a half ago, something like that. You can see a number of former OpenAI employees, whistleblowers and others, saying this very thing, you know, that the AG should block this because it was supposed to be a charitable mission from the beginning. And no amount of fancy footwork is gonna make it okay to toss that overboard.Andrew Keen: And I mean, in the best possible case, can Sam, the one thing I think you and I talked about last time is Sam clearly does, he's not driven by money. There's something else. There's some other demonic force here. Could he theoretically reinvent the company so that it becomes a kind of AI overlord, a nonprofit AI overlord for our 21st century AI age?Keach Hagey: Wow, well I think he sometimes thinks of it as like an AI layer and you know, is this my overlord? Might be, you know.Andrew Keen: As long as it's not made in China, I hope it's made in India or maybe in Detroit or something.Keach Hagey: It's a very old one, so it's OK. But it's really my attention overlord, right? Yeah, so I don't know about the AI overlord part. Although it's interesting, Sam from the very beginning has wanted there to be a democratic process to control what decision, what kind of AI gets built and what are the guardrails for AGI. As long as he's there.Andrew Keen: As long as he's the one determining it, right?Keach Hagey: We talked about it a lot in the very beginning of the company when things were smaller and not so crazy. And what really strikes me is he doesn't really talk about that much anymore. But what we did just see is some advocacy organizations that kind of function in that exact way. They have voters all over the world and they all voted on, hey, we want you guys to go and try to that ended up having this like democratic structure for deciding the future of AI and used it to kind of block what he was trying to do.Andrew Keen: What are the implications for OpenAI's competitors? There's obviously Anthropic. Microsoft, we talked about a little bit, although it's a partner and a competitor simultaneously. And then of course there's Google. I assume this is all good news for the competition. And of course XAI.Keach Hagey: It is good news, especially for a company like XAI. I was just speaking to an XAI investor today who was crowing. Yeah, because those companies don't have this weird structure. Only OpenAI has this strange nonprofit structure. So if you are an investor who wants to have some exposure to AI, it might just not be worth the headache to deal with the uncertainty around the nonprofit, even though OpenAI is like the clear leader. It might be a better bet to invest in Anthropic or XAI or something else that has just a normal for-profit structure.Andrew Keen: Yeah. And it's hard to actually quote unquote out-Trump, Elon Musk on economic subterfuge. But Altman seems to have done that. I mean, Musk, what he folded X into XAI. It was a little bit of controversy, but he seems to got away with it. So there is a deep hostility between these two men, which I'm assuming is being compounded by this process.Keach Hagey: Absolutely. Again, this is a win for Elon. All these legal cases and Elon trying to buy OpenAI. I remember that bid a few months ago where he actually put a number on it. All that was about trying to block the for-profit conversion because he's trying to stop OpenAI and its tracks. He also claims they've abandoned their mission, but it's always important to note that it's coming from a competitor.Andrew Keen: Could that be a way out of this seeming box? Keach, a company like XAI or Microsoft or Google, or that probably wouldn't happen on the antitrust front, would buy OpenAI as maybe a nonprofit and then transform it into a for-profit company?Keach Hagey: Maybe you and Sam should get together and hash that out. That's the kind ofAndrew Keen: Well Sam, I'm available to be hired if you're watching. I'll probably charge less than your current consigliere. What's his name? Who's the consiglieri who's working with him on this?Keach Hagey: You mean Chris Lehane?Andrew Keen: Yes, Chris Lehane, the ego.Keach Hagey: Um,Andrew Keen: How's Lehane holding up in this? Do you think he's getting any sleep?Keach Hagey: Well, he's like a policy guy. I'm sure this has been challenging for everybody. But look, you are pointing to something that I think is real, which is there will probably be consolidation at some point down the line in AI.Andrew Keen: I mean, I know you're not an expert on the maybe sort of corporate legal stuff, but is it in theory possible to buy a nonprofit? I don't even know how you buy a non-profit and then turn it into a for-profit. I mean is that one way out of this, this cul-de-sac?Keach Hagey: I really don't know the answer to that question, to be honest with you. I can't think of another example of it happening. So I'm gonna go with no, but I don't now.Andrew Keen: There are no equivalents, sorry to interrupt, go on.Keach Hagey: No, so I was actually asking a little bit, are there precedents for this? And someone mentioned Blue Cross Blue Shield had gone from being a nonprofit to a for-profit successfully in the past.Andrew Keen: And we seem a little amused by that. I mean, anyone who uses US health care as a model, I think, might regret it. Your book, The Optimist, is out in a couple of weeks. When did you stop writing it?Keach Hagey: The end of December, end of last year, was pencils fully down.Andrew Keen: And I'm sure you told the publisher that that was far too long a window. Seven months on Silicon Valley is like seven centuries.Keach Hagey: It was actually a very, very tight timeline. They turned it around like incredibly fast. Usually it'sAndrew Keen: Remarkable, yeah, exactly. Publishing is such, such, they're such quick actors, aren't they?Keach Hagey: In this case, they actually were, so I'm grateful for that.Andrew Keen: Well, they always say that six months or seven months is fast, but it is actually possible to publish a book in probably a week or two, if you really choose to. But in all seriousness, back to this question, I mean, and I want everyone to read the book. It's a wonderful book and an important book. The best book on OpenAI out. What would you have written differently? Is there an extra chapter on this? I know you warned about a lot of this stuff in the book. So it must make you feel in some ways quite vindicated.Keach Hagey: I mean, you're asking if I'd had a longer deadline, what would I have liked to include? Well, if you're ready.Andrew Keen: Well, if you're writing it now with this news under your belt.Keach Hagey: Absolutely. So, I mean, the thing, two things, I guess, definitely this news about the for-profit conversion failing just shows the limits of Sam's power. So that's pretty interesting, because as the book was closing, we're not really sure what those limits are. And the other one is Trump. So Trump had happened, but we do not yet understand what Trump 2.0 really meant at the time that the book was closing. And at that point, it looked like Sam was in the cold, you know, he wasn't clear how he was going to get inside Trump's inner circle. And then lo and behold, he was there on day one of the Trump administration sharing a podium with him announcing that Stargate AI infrastructure investment. So I'm sad that that didn't make it into the book because it really just shows the kind of remarkable character he is.Andrew Keen: He's their Zelig, but then we all know what happened to Woody Allen in the end. In all seriousness, and it's hard to keep a straight face here, Keach, and you're trying although you're not doing a very good job, what's going to happen? I know it's an easy question to ask and a hard one to answer, but ultimately this thing has to end in catastrophe, doesn't it? I use the analogy of the Titanic. There are real icebergs out there.Keach Hagey: Look, there could be a data breach. I do think that.Andrew Keen: Well, there could be data breaches if it was a non-profit or for-profit, I mean, in terms of this whole issue of trying to have it both ways.Keach Hagey: Look, they might run out of money, right? I mean, that's one very real possibility. They might run outta money and have to be bought by someone, as you said. That is a totally real possibility right now.Andrew Keen: What would happen if they couldn't raise any more money. I mean, what was the last round, the $40 billion round? What was the overall valuation? About $350 billion.Keach Hagey: Yeah, mm-hmm.Andrew Keen: So let's say that they begin to, because they've got, what are their hard costs monthly burn rate? I mean, it's billions of just.Keach Hagey: Well, the issue is that they're spending more than they are making.Andrew Keen: Right, but you're right. So they, let's say in 18 months, they run out of runway. What would people be buying?Keach Hagey: Right, maybe some IP, some servers. And one of the big questions that is yet unanswered in AI is will it ever economically make sense, right? Right now we are all buying the possibility of in the future that the costs will eventually come down and it will kind of be useful, but that's still a promise. And it's possible that that won't ever happen. I mean, all these companies are this way, right. They are spending far, far more than they're making.Andrew Keen: And that's the best case scenario.Keach Hagey: Worst case scenario is the killer robots murder us all.Andrew Keen: No, what I meant in the best case scenario is that people are actually still without all the blow up. I mean, people are actual paying for AI. I mean on the one hand, the OpenAI product is, would you say it's successful, more or less successful than it was when you finished the book in December of last year?Keach Hagey: Oh, yes, much more successful. Vastly more users, and the product is vastly better. I mean, even in my experience, I don't know if you play with it every day.Andrew Keen: I use Anthropic.Keach Hagey: I use both Claude and ChatGPT, and I mean, they're both great. And I find them vastly more useful today than I did even when I was closing the book. So it's great. I don't know if it's really a great business that they're only charging me $20, right? That's great for me, but I don't think it's long term tenable.Andrew Keen: Well, Keach Hagey, your new book, The Optimist, your new old book, The Optimist: Sam Altman, Open AI and the Race to Invent the Future is out in a couple of weeks. I hope you're writing a sequel. Maybe you should make it The Pessimist.Keach Hagey: I think you might be the pessimist, Andrew.Andrew Keen: Well, you're just, you are as pessimistic as me. You just have a nice smile. I mean, in all reality, what's the most optimistic thing that can come out of this?Keach Hagey: The most optimistic is that this becomes a product that is actually useful, but doesn't vastly exacerbate inequality.Andrew Keen: No, I take the point on that, but in terms of this current story of this non-profit versus profit, what's the best case scenario?Keach Hagey: I guess the best case scenario is they find their way to an IPO before completely imploding.Andrew Keen: With the assumption that a non-profit can do an IPO.Keach Hagey: That they find the right lawyers from wherever they are and make it happen.Andrew Keen: Well, AI continues its hallucinations, and they're not in the product themselves. I think they're in their companies. One of the best, if not the best authority, our guide to all these hallucinations in a corporate level is Keach Hagey, her new book, The Optimist: Sam Altman, Open AI and the Race to Invent the Future is out in a couple of weeks. Essential reading for anyone who wants to understand Sam Altman as the consummate salesman. And I think one thing we can say for sure, Keach, is this is not the end of the story. Is that fair?Keach Hagey: Very fair. Not the end of the story. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

Dems are going after Pete Hegseth for more behind the scenes Signal Gate issues. Newark Airport continues to have problems with delays. Does Michelle Obama, and Bill Belichick need an intervention on themselves? Mark Takes Your Calls! Mark Interviews Streaming Host Bill O'Reilly. CBS doesn't want to shift into Skydance because Larry Ellison's son runs it. Bill gives his take on what's happening at 60 minutes.

CBS doesn't want to shift into Skydance media because Larry Ellison's son runs it. Bill gives his take on what's happening at 60 minutes.

Dems are going after Pete Hegseth for more behind the scenes Signal Gate issues. Newark Airport continues to have problems with delays. Does Michelle Obama, and Bill Belichick need an intervention on themselves? Mark Interviews Streaming Host Bill O'Reilly. CBS doesn't want to shift into Skydance because Larry Ellison's son runs it. Bill gives his take on what's happening at 60 minutes. Are there less banks by you? The fake news channels are accusing President Trump of posting a picture on his account of impersonating Pope Francis, when someone used Ai, and it wasn't him. Trump has announced new tariffs on movies produced outside of the USA. Mark Interviews Boston Radio Host Howie Carr. Howie has breaking news to tell Mark. Harvard's future looks very dark, and lots of money should be taken from the school. Is Elizabeth Warren upset that Bernie Sanders is a rising star for Dems now? What's wrong with the city council in Boston and Cambridge Massachusetts?

Dems are going after Pete Hegseth for more behind the scenes Signal Gate issues. Newark Airport continues to have problems with delays. Does Michelle Obama, and Bill Belichick need an intervention on themselves? Mark Takes Your Calls! Mark Interviews Streaming Host Bill O'Reilly. CBS doesn't want to shift into Skydance because Larry Ellison's son runs it. Bill gives his take on what's happening at 60 minutes. See omnystudio.com/listener for privacy information.

CBS doesn't want to shift into Skydance media because Larry Ellison's son runs it. Bill gives his take on what's happening at 60 minutes. See omnystudio.com/listener for privacy information.

Dems are going after Pete Hegseth for more behind the scenes Signal Gate issues. Newark Airport continues to have problems with delays. Does Michelle Obama, and Bill Belichick need an intervention on themselves? Mark Interviews Streaming Host Bill O'Reilly. CBS doesn't want to shift into Skydance because Larry Ellison's son runs it. Bill gives his take on what's happening at 60 minutes. Are there less banks by you? The fake news channels are accusing President Trump of posting a picture on his account of impersonating Pope Francis, when someone used Ai, and it wasn't him. Trump has announced new tariffs on movies produced outside of the USA. Mark Interviews Boston Radio Host Howie Carr. Howie has breaking news to tell Mark. Harvard's future looks very dark, and lots of money should be taken from the school. Is Elizabeth Warren upset that Bernie Sanders is a rising star for Dems now? What's wrong with the city council in Boston and Cambridge Massachusetts? See omnystudio.com/listener for privacy information.

It's Tuesday, May 6th, A.D. 2025. This is The Worldview in 5 Minutes heard on 125 radio stations and at www.TheWorldview.com.  I'm Adam McManus. (Adam@TheWorldview.com) By  Kevin Swanson Chinese Communists intensifying regulation of churches Christian Daily Korea reports that communist China intensified its regulation of Christian churches effective May 1st. The additional regulations will place controls on missions, Christian education, fundraising, and religious activities over the internet. Specifically, many South Korean missionaries have already been expelled or denied visas under China's increasingly aggressive crackdown since 2017.  South Korean election coming up The South Korean election is planned for June 3rd. A professing Christian, former Prime Minister Han Duck-Soo, is running as an independent in the race. His wife, Choi Ah-young, is a fourth generation Christian. Her father is an elder. And her great grandfather founded a number of churches during the Japanese colonial period of the 1920s and 1930s.  Han's entry heats up the scramble among conservatives to unify behind a candidate to compete with liberal front-runner Lee Jae-myung, whose campaign recently was set back by a court decision to open a new trial on election law violation charges, reports ABC News. 106,745 Russian soldiers and 60,000 Ukrainian soldiers have died Since the start of the Russian-Ukrainian War, 106,745 Russian soldiers have been killed.  The last year was the most deadly, with a reported loss of 45,287 Russian lives. Ukrainian casualty numbers vary widely — with as many as 13,000 civilians and 60,000 soldiers counted among the dead. Australia lurches left like Canada Following the Canadian election which tipped towards the anti-God, secular humanist, progressive side, Australia did the same thing over the weekend. The liberal Labor Party has secured at least 86 seats in parliament, up from 77 in its last go around.   Prime Minister Anthony Albanese is set for his second three-year term in power.  Muslims have six kids on average compared to low fertility of others The global birth rate is crossing the 2.2 children-per-woman mark, crossing over the replacement level of 2.1.That's down from 5.3 children per woman in 1963 worldwide. World Bank data points to the Muslim-heavy nations of Somalia, Chad, Niger, and the Democratic Republic of the Congo with the highest fertility rates exceeding six children per woman. Countries with the lowest birth rates below 1.0 child per woman include South Korea, Taiwan, Hong Kong, Thailand, Chile, and Puerto Rico. Eastern Europe is seeing the steepest declines in birth rates. Deuteronomy 28:15-18 reminds us of God's dealings with nations: “But if you will not obey the voice of the Lord your God or be careful to do all His commandments and His statutes that I command you today, then all these curses shall come upon you and overtake you. Cursed shall you be in the field.  Cursed shall be your basket and your kneading bowl. Cursed shall be the fruit of your womb.” Oil becoming less expensive World oil prices have sunk to $57 per barrel — about the same price as it was in 1987. The average gas price in the United States is $3.26 per gallon, down from $3.76 per gallon last summer. Disney pushes homosexual scene in “Star Wars Andor” Disney has incorporated a prominent homosexual scene in its latest episode of Star Wars Andor. This marks another milestone in the ongoing homosexualization of Disney, with the scene marking the first prominent display of homosexuality for featured characters. Disney has increased its revenues to $91 billion per year, and has registered another 5% increase in its first quarter in 2025.  Overall revenues for the entertainment company are up about 20% since the pro-homosexual organization entered into a conflict with Florida Republican Governor Ron DeSantis.   Levi Strauss and Disney were the first companies to provide benefits to homosexual employees between 1992 and 1995. Conservative Presbyterians growing and Liberal Presbyterians fading The Presbyterian Church in America, the largest conservative Calvinist denomination in the United States, is registering its highest number of members in its 51-year history — topping 400,700 this year. Offerings were up 7.4%, year-over-year, according to stats just released by the denomination. Another conservative denomination, the Orthodox Presbyterian Church, registers 33,520 members, growing at a rate of 3% per year. Meanwhile, the more liberal PCUSA church membership has dropped off from 3.1 million to 1.1 million over the last 40 years. Warren Buffet gave $8.4 billion to fund abortion And finally, Warren Buffett has announced his retirement from Berkshire Hathaway, as Chief Executive, effective January 1st. The 94-year-old Buffett is currently listed as the sixth richest man in the world behind Elon Musk, Mark Zuckerberg, Jeff Bezos, Larry Ellison, and Bernard Arnault of France.    Buffett's foundations have provided $8.4 billion to pro-abortion groups like Planned Parenthood and the National Abortion Federation. Plus, Buffett was a major supporter of the “RU-486” abortion kill pill. Forbes reports that other major pro-abortion billionaire donors include: Mackenzie Scott (Amazon's Jeff Bezos's ex-wife), the Bill Gates Foundation, the Hewlett Family, Michael Bloomberg, and George Soros. But now, take comfort in these words from Isaiah 49: 24-26. The prophet asks, “Can the prey be taken from the mighty or the captives of a tyrant be rescued? For thus says the Lord: ‘Even the captives of the mighty shall be taken, and the prey of the tyrant be rescued, for I will contend with those who contend with you, and I will save your children. I will make your oppressors eat their own flesh, and they shall be drunk with their own blood as with wine. Then all flesh shall know that I am the Lord your Savior, and your Redeemer, the Mighty One of Jacob.'” Close And that's The Worldview on this Tuesday, May 6th, in the year of our Lord 2025. Subscribe for free by Amazon Music or by iTunes or email to our unique Christian newscast at www.TheWorldview.com. Or get the Generations app through Google Play or The App Store. I'm Adam McManus (Adam@TheWorldview.com). Seize the day for Jesus Christ.

In this inspiring and wide-ranging episode, Nick sits down with Julian Guthrie, a Pulitzer-nominated journalist, bestselling author, and now AI startup founder, who calls Hayden, Idaho home.Julian opens up about:Her path to the San Francisco Chronicle, covering the tech boom, interviewing billionaires and astronauts, and telling underdog stories that matter.How her deep empathy, resilience, and pursuit of excellence shaped her storytelling and life choices.What she learned from Larry Ellison about Kaizen and how that daily discipline drives her today.Her leap from journalism to tech with the creation of Alphy and HarmCheck, a tool using AI to reduce harm in digital communication.Why she believes leadership can be powerful and kind, and how she's leading with authenticity rather than aggression.This is a conversation about words, power, purpose and why story matters more than ever.

The European Union is rising fast—militarily, economically, and politically. Is this the revived Roman Empire the Bible foretold?Today, Jim, John, and Lonaiah dive deep into prophecy from Daniel 2 and 7, exploring how the EU's consolidation, growing military power, and pursuit of a single leader align perfectly with the Bible's description of the final world empire before Christ's return.From ten kings to the little horn—this is Antichrist infrastructure unfolding in real-time.Also discussed: Macron's background, military budgets exploding across Europe, and even Canada wanting in on the EU. Is the world preparing for the leader it doesn't even know it's waiting for?Key Topics:

In the first episode of Bloomberg Businessweek’s new podcast Everybody’s Business, Max Chafkin and Stacey Vanek Smith try to make sense of “Liberation Day”—Donald Trump’s recent introduction of steep tariffs on imports from seemingly every corner of the globe. Will these taxes "fix" the economy like a hammer helps a headache? Or are they a tool to change an unsustainable system of global trade? Then Businessweek editor Brad Stone joins to discuss reported recent attempts of Amazon’s Jeff Bezos and Oracle’s Larry Ellison to acquire TikTok. After a dramatic near-decade of politicians trying to cancel the app in the US, will an unlikely cabal of investors manage to save America’s new favorite pastime? Also, Max shares what story he thinks deserved more attentions this week. It’s all about bats. Everybody’s Business is a Businessweek production. It will live in the Elon, Inc. feed for a few weeks until it gets its own home starting May 16th.See omnystudio.com/listener for privacy information.

Well, well, well, what do we have here? Have we entered the Mirra era? If you know us, you know we're not saying that, we just wanted to say Mirra era. Andreeva fashioned a Keys-esque run to the title in the desert, beating the same four players Madison did to win the AO from the fourth round onward...in the same order! We talk about Iga, we talk about Jack, and we field some more listener questions on TBS 375 02:15 The Mirra Era 12:19 The Conchita Effect 17:01 What's up with Iga? 26:28 Jack Draper arrives 37:34 Taking a question about Larry Ellison … 46:32 Finding joy in tennis when things outside of tennis are generally terrible  51:22 If tennis were played on only one surface, which would you keep? 53:38 RHOP and other Bravo musings 

Visit our Substack for bonus content and more:https://designbetterpodcast.com/p/dan-harden If you were mapping out the most amazing career in industrial design, you might dream of working with George Nelson, Henry Dreyfuss, Steve Jobs, and influential companies like Frog design in the early days. It seems impossible that one person could have such a career, but Dan Harden has done all of this and more. We spoke with Dan about what he learned from these iconic people and companies, and also about how he started his own design consultancy, Whipsaw, which has gone on to win over 300 awards over 700 patents. Dan also shared what George Nelson was up to when he disappeared into his private bathroom at the end of each workday. It's not what you think. Bio Dan is CEO, Founder, and Principal Designer of Whipsaw, an acclaimed Silicon Valley product design and experience innovation firm that has introduced over 1,000 products to market for leading global companies. A highly influential figure in the design industry, Dan infuses his work with a deep passion and unique perspective shaped by his interests in art, culture, psychology, and technology. Previously, he served as VP and President at Frog, designing notable products for industry icons including Steve Jobs and Larry Ellison, and also held a leading design role at Henry Dreyfuss Associates. Over his prolific career, Dan has created hundreds of successful products across diverse categories, from baby bottles to supercomputers, winning over 300 prestigious awards, including 41 IDEA Awards, and securing more than 700 patents. His innovative designs have been exhibited at renowned institutions such as the Smithsonian Cooper Hewitt Museum, The Henry Ford Museum, and the Chicago Athenaeum. Recognized by Fast Company as one of the "100 Most Creative People in Business," Dan's visionary contributions have been highlighted extensively in prominent publications including CNN, Fortune, Newsweek, Time, and Wired. *** Premium Episodes on Design Better This ad-supported episode is available to everyone. If you'd like to hear it ad-free, upgrade to our premium subscription, where you'll get an additional 2 ad-free episodes per month (4 total). Premium subscribers also get access to the documentary Design Disruptors and our growing library of books, as well as our monthly AMAs with former guests, ad-free episodes, discounts and early access to workshops, and our monthly newsletter The Brief that compiles salient insights, quotes, readings, and creative processes uncovered in the show. Upgrade to paid *** Visiting the links below is one of the best ways to support our show: Masterclass: MasterClass is the only streaming platform where you can learn and grow with over 200+ of the world's best. People like Steph Curry, Paul Krugman, Malcolm Gladwell, Dianne Von Furstenberg, Margaret Atwood, Lavar Burton and so many more inspiring thinkers share their wisdom in a format that is easy to follow and can be streamed anywhere on a smartphone, computer, smart TV, or even in audio mode. MasterClass always has great offers during the holidays, sometimes up to as much as 50% off. Head over to http://masterclass.com/designbetter for the current offer.

Oracle co-founder Larry Ellison wants to revolutionize farming. But so far, his Sensei Ag company hasn't succeeded in boosting output and nutrition in its greenhouses with artificial intelligence, robotics and software. That's despite spending nearly $500 million and eight years on the project. WSJ reporter Tom Dotan tells us how Ellison has sought to transform agriculture with tech on Lanai and why the effort has been a bust. Charlotte Gartenberg hosts. Sign up for the WSJ's free Technology newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Elon Musk, Glenn Beck. What the Future Will Look Like, Predicted by Grok AI and Elon Musk's AI “Singularity” WARNING Explained   What the Future Will Look Like, Predicted by Grok AI Watch this video at- https://youtu.be/j_Iuf-lwEpE?si=5EKM7AF89_PeoE6a Glenn Beck 1.41M subscribers 234,268 views Feb 22, 2025 Glenn recently had a fascinating and eye-opening conversation with xAI's artificial intelligence, Grok 3, which he believes is miles ahead of competitors like ChatGPT and China's DeepSeek. Glenn asked Grok to describe how fast it's improving in human terms: for every 12 hours that pass for Glenn, how much time passes for Grok? Its answer is shocking! Glenn also asks how fast Grok would grow if it was hooked up to a quantum computer chip, like the one Microsoft recently announced. But even more shocking was its answer about the future: what will 2030 look like? What happens after AI reaches artificial super intelligence? Will the ethics constraints built into it be enough to keep it under human control? ► Click HERE to subscribe to Glenn Beck on YouTube: https://bit.ly/2UVLqhL ► Click HERE to subscribe to BlazeTV: get.blazetv.com/glenn ► Click HERE to subscribe to BlazeTV YouTube:     / @blazetv   ► Click HERE to sign up to Glenn's newsletter: https://www.glennbeck.com/st/Morning_... Connect with Glenn on Social Media:    / glennbeck      / glennbeck      / glennbeck     Elon Musk's AI “Singularity” WARNING Explained https://youtu.be/izHDm4Vf3lQ?si=0VdMh_2A4g-BsU7q Glenn Beck 1.41M subscribers 108,914 views Feb 24, 2025 Elon Musk has warned that “we are on the event horizon of the singularity.” So, what's an event horizon and what's the singularity? Glenn pulls out a chalkboard to explain why this is such a massive story. What will the world look like when artificial intelligence overtakes human intelligence? And is this why Elon Musks wants to go to Mars? But at least Oracle co-founder Larry Ellison is here to save the day! Or … maybe not.   --------------------------------------------------------------------  Check out our ACU Patreon page: https://www.patreon.com/ACUPodcast   HELP ACU SPREAD THE WORD!  Please go to Apple Podcasts and give ACU a 5 star rating. Apple canceled us and now we are clawing our way back to the top. Don't let the Leftist win. Do it now! Thanks. Also Rate us on any platform you follow us on. It helps a lot. Forward this show to friends. Ways to subscribe to the American Conservative University Podcast Click here to subscribe via Apple Podcasts Click here to subscribe via RSS You can also subscribe via Stitcher FM Player Podcast Addict Tune-in Podcasts Pandora Look us up on Amazon Prime …And Many Other Podcast Aggregators and sites ACU on Twitter- https://twitter.com/AmerConU . Warning- Explicit and Violent video content.   Please help ACU by submitting your Show ideas. Email us at americanconservativeuniversity@americanconservativeuniversity.com   Endorsed Charities -------------------------------------------------------- Pre-Born! Saving babies and Souls. https://preborn.org/ OUR MISSION To glorify Jesus Christ by leading and equipping pregnancy clinics to save more babies and souls. WHAT WE DO Pre-Born! partners with life-affirming pregnancy clinics all across the nation. We are designed to strategically impact the abortion industry through the following initiatives:… -------------------------------------------------------- Help CSI Stamp Out Slavery In Sudan Join us in our effort to free over 350 slaves. Listeners to the Eric Metaxas Show will remember our annual effort to free Christians who have been enslaved for simply acknowledging Jesus Christ as their Savior. As we celebrate the birth of Christ this Christmas, join us in giving new life to brothers and sisters in Sudan who have enslaved as a result of their faith. https://csi-usa.org/metaxas   https://csi-usa.org/slavery/   Typical Aid for the Enslaved A ration of sorghum, a local nutrient-rich staple food A dairy goat A “Sack of Hope,” a survival kit containing essential items such as tarp for shelter, a cooking pan, a water canister, a mosquito net, a blanket, a handheld sickle, and fishing hooks. Release celebrations include prayer and gathering for a meal, and medical care for those in need. The CSI team provides comfort, encouragement, and a shoulder to lean on while they tell their stories and begin their new lives. Thank you for your compassion  Giving the Gift of Freedom and Hope to the Enslaved South Sudanese -------------------------------------------------------- Food For the Poor https://foodforthepoor.org/ Help us serve the poorest of the poor Food For The Poor began in 1982 in Jamaica. Today, our interdenominational Christian ministry serves the poor in primarily 17 countries throughout the Caribbean and Latin America. Thanks to our faithful donors, we are able to provide food, housing, healthcare, education, fresh water, emergency relief, micro-enterprise solutions and much more. We are proud to have fed millions of people and provided more than 15.7 billion dollars in aid. Our faith inspires us to be an organization built on compassion, and motivated by love. Our mission is to bring relief to the poorest of the poor in the countries where we serve. We strive to reflect God's unconditional love. It's a sacrificial love that embraces all people regardless of race or religion. We believe that we can show His love by serving the “least of these” on this earth as Christ challenged us to do in Matthew 25. We pray that by God's grace, and with your support, we can continue to bring relief to the suffering and hope to the hopeless.   Report on Food For the Poor by Charity Navigator https://www.charitynavigator.org/ein/592174510   -------------------------------------------------------- Disclaimer from ACU. We try to bring to our students and alumni the World's best Conservative thinkers. All views expressed belong solely to the author and not necessarily to ACU. In all issues and relations, we hope to follow the admonitions of Jesus Christ. While striving to expose, warn and contend with evil, we extend the love of God to all of his children. ----------------------------------------------------------------------------------------- 

Today is the first full day as director of the FBI for Kash Patel. Will the Epstein list be officially released? The Left has preached against the Pentagon for years but suddenly disagrees when Trump calls for cuts. Glenn and Stu debate who possibly may be on the Epstein list. The fact that we don't know who's on the list yet is evidence that it includes some big names. Elon Musk posted on X that society is "at the event horizon of the singularity." Glenn reacts to a clip of Larry Ellison explaining why he wants the data that comes with the latest AI models. Glenn breaks out the chalkboard to lay out how AI models are created. Will leftists acknowledge their loss and make the necessary adjustments, or will they double down on their crazy ideologies? Wisconsin Governor Tony Evers (D) has decided to double down in a new bill where the word "mother" was changed to "inseminated person." Wonder Project chief content officer Jon Erwin joins to discuss his newest project on Amazon Prime, "House of David," which tells the story of one of history's greatest kings. Glenn and Stu discuss Robert De Niro's new miniseries — and it's surprisingly conservative.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Protect Your Retirement W/ a Gold or Silver IRA: https://www.sgtreportgold.com/ CALL( 877) 646-5347 - Noble Gold is Who I Trust   Dr Len Horowitz is back to discuss Elon Musk, friend or foe? And what about more obvious bad guys Larry Ellison and Sam Altman and Project Stargate, is it a massive betrayal of Trump's base or the ultimate setup? Dr. Horowitz shares his insights about Donald J. Trump, Elon Musk and 5D chess.   GET & STAY HEALTHY w/ Len's Oxy Silver & More HERE: https://healthyworldshop.com https://rumble.com/embed/v6ip55m/?pub=2peuz

In this conversation, the boys discuss the cultural implications of Kendrick Lamar's performance at the Super Bowl halftime show, addressing the backlash against representation in media. They explore the themes of control, freedom of speech, and societal reactions to race and identity. The discussion then shifts to a debate about technology, specifically an AI bird feeder, leading to a broader conversation about the future of artificial intelligence and its potential impact on humanity. In this conversation, the boys delve into the competitive landscape of AI, discussing key players like Sam Altman, Elon Musk, and Larry Ellison. They explore the ethical implications of AI development, personal perspectives on consciousness merging, and the potential risks associated with AI, including the gray goo problem. Also, The CHO introduces a new segment: Today in Southern History, where this week he talks about the day Georgia seceded from the Union, and the ramifications it caused CoreyRyanForrester.com to grab tickets to see Corey in Atlanta and Charleston! TraeCrowder.com to see Trae EVERYWHERE! DrewMorganComedy.com Subscribe to WeLoveCorey.com for bonus stuff from The CHO and read his latest essay at: https://coreyryanforrester.substack.com/p/they-not-like-us-the-annual-halftime Go to FactorMeals.com/WellRED50off and use code WellRED50off to get 50% off your first box of heat and eat nutritious meals! Takeaways: The outrage over Kendrick Lamar's performance reflects deeper societal issues. Cultural representation in media often sparks controversy and backlash. Freedom of speech is selectively applied in discussions about race and identity. The AI bird feeder debate highlights the complexities of technology in everyday life. Artificial intelligence is rapidly evolving and could have significant implications for the future. The conversation around AI often lacks nuance and understanding of its capabilities. Humans may not be prepared for the consequences of advanced AI development. Cultural moments in America are increasingly diverse, challenging traditional norms. The future of AI could lead to both utopian and dystopian outcomes. The merging of technology and humanity raises ethical questions about identity and existence. AI is currently dominated by companies like Deep AI and Alibaba. Sam Altman is seen as a leading figure in AI technology. The ethical implications of AI development are concerning. Merging human consciousness with robotics raises moral questions. The gray goo problem illustrates potential AI risks. Media plays a significant role in shaping public perception of technology. Historical events can provide context for current discussions. Personal experiences can influence views on technology and health. Fitness discussions reveal the importance of health in daily life. Chapters 00:00 The Bold Beginnings of a Podcast Adventure 02:30 AI Bird Feeders: A New Age of Technology 05:56 Understanding AI: Definitions and Misconceptions 09:50 The Future of AI: Potential and Pitfalls 13:36 Philosophical Perspectives on AI and Its Impact 17:17 The Debate on AI's Impact 20:29 The Future of AI and Humanity 23:21 The Ethical Dilemmas of AI 26:48 The Role of Corporations in AI Development 30:26 The Intersection of AI and Human Experience 34:32 Reflections on History and AI's Future 41:50 The Cost of Innovation 42:06 Ego and Power in Tech 43:34 The Misunderstood Villains 44:32 Personal Accountability and Relationships 46:59 The Struggles of Running 51:58 The Debate on Biking 55:42 Upcoming Shows and Farewells 58:14 Putting on Airs: A Redneck Perspective 59:40 Squirrels and Family Drama: A Humorous Take 01:00:47 Kendrick Lamar's Halftime Show Controversy 01:04:00 Cultural Representation and Control in Entertainment

The new technocratic era is underway with Donald Trump's return to the White House, and things are already taking an ominous turn with the unveiling of his new $500 billion artificial intelligence infrastructure program. Partnered with some of the worst people in Silicon Valley, such as Larry Ellison and Sam Altman, his second administration is shaping up to be even more dangerous than his first. How do the lessons found in the 1932 book Brave New World translate to today's world, and are we about to embark on a societal transformation? Could the fictional “savage reservation” where those who have fled the system live be a glimpse into the dystopian future these technocrats want for all of society? Are building the walls of our own digital prison, or should we sit back and simply trust the plan? The Octopus of Global Control Audiobook: https://amzn.to/3xu0rMm Hypocrazy Audiobook: https://amzn.to/4aogwms Website: www.Macroaggressions.io Activist Post: www.activistpost.com Sponsors: Chemical Free Body: https://www.chemicalfreebody.com Promo Code: MACRO C60 Purple Power: https://c60purplepower.com/ Promo Code: MACRO Wise Wolf Gold & Silver: www.Macroaggressions.gold LegalShield: www.DontGetPushedAround.com EMP Shield: www.EMPShield.com Promo Code: MACRO Christian Yordanov's Health Transformation Program: www.LiveLongerFormula.com Privacy Academy: https://privacyacademy.com/step/privacy-action-plan-checkout-2/?ref=5620 Brain Supreme: www.BrainSupreme.co Promo Code: MACRO Above Phone: http://abovephone.com/?above=macro Promo Code: MACRO Activist Post: www.ActivistPost.com Natural Blaze: www.NaturalBlaze.com Link Tree: https://linktr.ee/macroaggressionspodcast

Physician & mRNA pioneer, Robert Malone, MD, joins Del to discuss tech giant Larry Ellison's recent promotion of employing mRNA vaccine technology to fight cancer. Get his expert view on his serious concerns about this technology that has already been proven to be dangerous and how Moderna has nearly gone bankrupt in the past after years of failed attempts of creating a vaccine for cancer. Become a supporter of this podcast: https://www.spreaker.com/podcast/the-highwire-with-del-bigtree--3620606/support.

- RFK Jr's Upcoming Senate Hearing and Support Needed (0:00) - Feedback on AI Illustrations and Larry Ellison's Comments (2:07) - Critique of Stargate Project and AI Dominance (6:47) - Trump's Executive Order on Cryptocurrency (11:08) - Introduction of Enoch AI Language Model (17:08) - Support for RFK Jr's Confirmation and Action Items (24:51) - Interview with Jonathan Emord and Dr. Robert Ver Kirk (45:30) - Challenges and Opportunities in Health Reform (1:05:12) - The Role of AI in Health and Wellness (1:12:47) - Conclusion and Call to Action (1:23:37) - AI Wellness Coaches and Open Weights (1:23:58) - Legal and Government Challenges (1:25:24) - Economic and Health Impacts of Information Access (1:28:35) - Challenges with Herbal Medicines Regulation (1:30:46) - Support for RFK Jr. and the Maha Mandate (1:33:49) - Pharma Lobbying and Grassroots Support (1:38:41) - Call to Action and Final Thoughts (1:43:25) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Allie's dad, Ron Simmons, guest hosts today's very special episode. Ron breaks down all the latest happenings in Washington, D.C., including the Born-Alive Abortion Survivors Protection Act and why the Senate failed to pass the bill. We also go over Trump's executive order that would end birthright citizenship for the children of illegal immigrants. And, of course, the New York Times suddenly acknowledges that unborn children are, in fact, children but only for "undocumented women." We also talk about the viral White House press conference where Larry Ellison, Oracle's chief technology officer, talked about using AI to develop mRNA vaccines for cancer treatment and why people are so mad about it. And Ron wraps up by answering some of your most pressing questions, including his best parenting advice, how to keep lifelong friends, and balancing financial success without loving money. Buy Ron Simmon's book, "Life Lessons from the Little Red Wagon: 15 Ways to Take Charge and Create a Path to Success": https://a.co/d/bzZ6cLc Buy Allie's new book, "Toxic Empathy: How Progressives Exploit Christian Compassion": https://a.co/d/4COtBxy --- Timecodes: (00:30) Ron Simmons guest host (02:10) Senate blocks Born-Alive Abortion Survivors Protection Act (08:34) Trump's birthright citizenship executive order (11:45) New York Times unborn baby hypocrisy  (17:43) Stargate AI mRNA vaccines  (26:18) Q&A with Ron ---   Today's Sponsors: We Heart Nutrition — Get 20% off women's vitamins with We Heart Nutrition, where 10% of every purchase supports pregnancy care centers; use code ALLIE at https://www.WeHeartNutrition.com. EveryLife — The only premium baby brand that is unapologetically pro-life. EveryLife offers high-performing, supremely soft diapers and wipes that protect and celebrate every precious life. Head to EveryLife.com and use promo code ALLIE10 to get 10% of your first order today! Patriot Mobile — go to PatriotMobile.com/ALLIE or call 972-PATRIOT and use promo code 'ALLIE' for a free month of service! --- Links: "I Would Have Said Yes: A Family's Journey with Autism" by Lisa Simmons https://a.co/d/iEcznZN Undocumented Women Ask: Will My Unborn Child Be a Citizen? https://www.nytimes.com/2025/01/21/us/birthright-citizen-children-migrant.html --- Related Episodes: Ep 1118 | The Great H-1B Debate & the Keys to Keeping Resolutions https://podcasts.apple.com/us/podcast/ep-1118-the-great-h-1b-debate-the-keys-to-keeping-resolutions/id1359249098?i=1000683076597 Ep 738 | My Response to 'Christian' Pro-Choice Congresswomen | Guest: Ericka Andersen https://podcasts.apple.com/us/podcast/ep-738-my-response-to-christian-pro-choice-congresswomen/id1359249098?i=1000594108814 Ep 1126 | I'm in DC. The Post-Inauguration Atmosphere Is UNREAL https://podcasts.apple.com/us/podcast/ep-1126-im-in-dc-the-post-inauguration-atmosphere-is-unreal/id1359249098?i=1000684871676 Ep 971 | Question Your Doctor, Save Your Life | Guest: Dr. Casey Means https://podcasts.apple.com/us/podcast/ep-971-question-your-doctor-save-your-life-guest-dr/id1359249098?i=1000649903503 ---   Buy Allie's book, You're Not Enough (& That's Okay): Escaping the Toxic Culture of Self-Love: https://alliebethstuckey.com/book Relatable merchandise – use promo code 'ALLIE10' for a discount: https://shop.blazemedia.com/collections/allie-stuckey Learn more about your ad choices. Visit megaphone.fm/adchoices

Time to bring back woolly mammoths? Texas has already started shoring up the U.S. southern border. The immigration policies of Donald Trump are already paying dividends. Young voters are much more into Trump now than they were eight years ago. How soon before Greenland belongs to the United States? Javier Milei of Argentina is dealing facts at Davos. Kris Cruz, official translator for Blaze Media. Jeffy gives an ultimatum to Canada. Larry Ellison's AI fascination is exciting and terrifying. Donald Trump sat down with Bill Gates for three hours. 00:00 Pat Gray UNLEASHED 00:32 Fastest Sleep Record Holder 08:34 Texas Redeploys Buoys 16:05 TYT Ana Kasparian Talks Immigration 17:25 Eric Adams Told to Be a Good Democrat 22:33 CNN in Shock over American Public Opinion 25:33 Jim Acosta vs. Rep. Tim Burchett 35:22 Illegal Migrants' Flights Cancelled 36:47 Sheriff Grady Judd Speaks Out 40:31 Danish Politician's Words for Trump 41:34 Trump Really Wants Greenland 43:23 How Big is Greenland? 46:19 Call/Email Us if You Live in Greenland 48:50 Rebel News in Davos 50:28 Biden's Letter for Trump 55:55 Javier Milei is at WEF 2025 1:01:51 Javier Milei Talks Gender Ideology 1:07:58 Spanish Pat Gray UNLEASHED 1:13:25 Flashback to Larry Ellison on A.I. 1:16:55 Trump on A.I. & Cancer 1:18:15 Larry Ellison Talks Cancer Vaccine 1:23:31 MRNA Technology with Dr. Angus Dalgleish 1:29:15 Bill Gates Meets with Trump Learn more about your ad choices. Visit megaphone.fm/adchoices