Artificial Intelligence Growth Architect | Connor with Honor | Real Estate Consultant

AI giveth and AI taketh away...

Connor T. MacIvor | Connor with Honor

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0:00 | 14:56

This Loom discusses the risks, rollout, and societal impact of large language models and next-generation AI like Anthropic’s rumored “Mythos” and “Fable” releases. The speaker argues AI adoption is split between all-in users and those less affected, while both utopian and apocalyptic viewpoints persist. They suggest progress could accelerate via exponential effects, including robotics and synthetic data, and warn that access may be limited to top institutions, creating widening inequality. They reference the July 1, 2026 timing, mention prior holdbacks of “too dangerous” models, and note government review before releases. The message ends with a call to stay informed and be cautious about privacy and misinformation.

Chapters

00:00

New AI concerns and release

03:19

Fixing inequality with policy

05:17

AI growth and exponential impact

09:47

Government oversight and delays

11:46

Jailbreak fears and rumors

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SPEAKER_00

Is it really a new problem? A new problem where we've never experienced this before. I'm talking about the large language models. I'm talking about models that were supposed to be released to the general public not being released. I know it's it's funny. We always seem to have something to complain about. And when we get some really exciting new technology, and AI is weird in the way that you have some people that are adopting it 100% going all in, you know, every moment of every day. Those are the people I think were most affected by what had happened in the recent weeks, versus the people that, you know, really it's not interrupting their lives, it's not really changing anything, at least not yet. So, really, what's the point? So those two different factions out there, and then you have people on either extreme. You have people that say it's gonna end us, it's gonna kill us, it's gonna cause the end of the world, total disruption, total chaos, and at the hands of human beings that are controlling it. Then you have the other end that are saying it's gonna be a utopia, there's gonna be abundance, the cost of things is gonna come down to near zero, and we're all gonna be happier than pigs and well, you know what. I guess they're happy. I really don't know. But so that's these are this is the world. So recently, most recently, they had a couple models that were too dangerous. And see, this is the other thing that I think makes people a little skeptical. You have the people that are very much in support of the technology, people with vested interest in their own money, people with money that have invested into a lot of companies, these startups, they get to be on the inside of things, which good for them. Capitalism is alive and well, but they get to invest in these startups and these companies that are all built around some kind of AI infrastructure. And in doing so, of course, they don't want to say anything bad about the machine. They don't want to talk bad about AI, it would seem. Now, maybe they're correct. Maybe there is nothing to worry about, and maybe there's no issue with AI. Then you have the other side that seems to stem a little bit out of jealousy. That's the easy, that's the low-hanging fruit of a human being. Well, of course he's upset. He's just jealous. But then you start to look at some of the rationale. You have some people that are absolutely jealous. Oh, Elon Musk shouldn't be a trillionaire and blah, blah, all of that. That's, and I understand that. I don't agree with it, but I understand it. However, then you have that same faction saying, well, you know, it's the people that are in power that are causing these problems, and they're very much self-interested. So of course they're going to say how great the technology is, how wonderful it is, how it's going to be a utopia, because they have nothing to worry about themselves. They're set financially. They're set financially as long as there's something financially worth something, as long as money keeps its value or whatever it is they're accuring, whether it's land or buildings or real estate or gold or something else, precious stones, whatever it happens to be, as long as those things retain value, then they're going to be fine. It's the other people in the world that don't really have a pot to piss in that are going to be the ones that should be really watching out for this because the difference between the people at the low end and the people at the top end is continuing to expand. What is required to fix that? Some more government control, I would guess, because to leave human beings up to making that more even themselves, I'm not sure if it's going to happen. Now, the story's been painted. The companies themselves, and Anthropic is a good example. They want to give some money back to the normal people. Another one, I believe, is talking about maybe giving some kind of discount up at the top so these companies don't have to lay off people being replaced by AI. And you know, it's it's all beautiful. Then the other the other thing they talk about is UBI, universal basic income. And then, of course, somebody else in the space said, well, let's make it universal, basic, high income. And so you have all of that. Package it all together. And what do you have? Nobody really knows what's happening. But I think some of this can be placed on past practice to a point. If you look at the previous issues that have happened in the world, the previous revolutions, industrial, agricultural, these sorts of things, the printing press, just things that really created a lot of displacement, those things took a little while. There was one printing press, Gutenberg, I guess, that one made, then of course they were replicated and copied. And that's when you started seeing a lot of the problem. The original one, you know, when it was copying one book at a time, no matter how long that took, it wasn't big. But when you started getting a bunch, same thing with looms, making clothing, making these types of things people wore. Instead of going from hand, it went to more of a machine type device, and then there was a lot of displacement, a lot of issues. The other things in the world that have displaced us, we have the railroads. The railroad, the early adopter in the railroads, great idea, but they they all went bankrupt for the most part. It was the people that came in after and picked up the crumbs. Same same thing with the internet. We had that big fiasco where the early adopters in that, most of them collapsed and failed, but the people came up and picked up the the uh the crumbs, and then they became mega rich. Artificial intelligence, people talk about, oh, it's a bubble, it can't consist, it can't keep going on like this. When you're talking exponentials, I guess maybe it can. And I saw something yesterday that really kind of put it in into into understanding for me. You know the penny game where you say, you go tell somebody, hey, listen, I need a little bit of money. I'll give you $1,000, but can you do me a favor? I'll give you $1,000 if you do this. Give me a penny and double it every day. Just do it for 30 days. That should help me out a lot. But I can give you $1,000 a day to do this or whatever the temptation is to get them to do it. Most people don't think that that's any big deal. One penny a day doubling every day for 30 days. It really doesn't sound like a lot, what? A couple bucks, 10 bucks, 50 bucks. I mean, really, maybe a hundred. No, I think it's over five million dollars at the end of 30 days. Manufacturing. Right now, the AI space doesn't have a lot of the robotic arm. And what we're being shown, I mean, there's some pretty scary-looking robots out there that are doing some pretty fantastical things. But is it fluid as human? It's getting close. How many more evolutions of a robot does it going to take? What new discoveries need to take place for it to really get good? Probably not many. And now that we have a smarter-than-us intelligence working on it, more than likely we'll probably get there very soon. But even with the robots, if you take that same penny analogy and you have one robot made, and then you make another two or three, and then you have two robots that can now make one robot, now you have three robots that can make another one robot, now you have four robots that can make two robots, and and so now we have that same penny thing. So after a month, you have five million robots. I think that applies. So when they get this, they get the infrastructure in place where you have the materials, you have all the bins, you have all that stuff, you have everything you need as far as power and energy, you have intelligence strapped onto it. I don't think it's gonna take very long to get these robots out there. Now, the operating system of the robot, is it going to be full genius level LLM technology? And is it going to be on board the robot or being fed in somehow, Wi-Fi connected, or is it all going to be standing alone? And then what's the power of the robots going to be? Are they going to be specialized where this one can drive a semi-truck from coast to coast and park it and do everything it needs without having to stop? Or are those particular devices, the vehicles, going to be like the cabs, where they're going to be driverless carriages and not have any connection to any robot at all? So the robot, those types would be able to drive, you know, manufacturing equipment, vehicles, farming equipment, these sorts of things, semi-trucks and do that kind of work, maybe ships and boats as well. Maybe that's part of it. Maybe airplanes, right? Maybe that's part of it. But where does it go from there? I think once we get that intelligent layer outside of the large language models that don't have true grasp of the physical world, I think that's going to be the game changer for everything else. Once we get the robots in the world and they're able to extract that data, and they call that somewhat synthetic data. Now it's learning a lot because humans have gloves strapped to them and helmets and vests and leg things. So the robots kind of feel what it's like to move around in the physical world and learn from that. But the regular data, the stuff that's not in the physical world, that stuff has already been used up. I believe all of it has been used as training material, whether we gave permission or not, and that's an entirely other video. But it's been used for the training. Now the systems are using the synthetic data, which is stuff that they come up with, running additional scenarios, A, B testing each one of the original scenarios, extrapolating them out to some nonsensical degree or even the other way, maybe a more factual type degree. So they're building out their own learning capability. Now you put on top of that the physical robotic realm, you put on top of that recursive self-improvement, you put on that the people running the show, and then you put on that, as I open the show with the government saying, you know, now I we think it's a good idea, and it's totally up to you, as they say. But it's a good idea that we look at these, we we get a good look at these before we release them to the public. The people that were really into the AI, I've seen some of the channels just turn against these companies because they went all in. This is their livelihood, this is their thing. So you start telling me that I'm gonna give this technology to the top 50 banks or the top 100 banks, but you as a bank that didn't make that list, or you're not in the bro zone or the friendship circle or the circle jerk squad, then you're not gonna get that technology. Sorry, we're gonna hold it back for a little while. All that these other institutions need is a little while. They don't need a lot of time. Mythos is rumored to be coming out. We're at July 1st, 2026. Mythos is re-rumored to going to be released. Mythos was a clawed model that a couple months ago they held back because it was too dangerous, too worrisome, too advanced. So they went ahead and held it back from the general public. And that was kind of the first glimpse of maybe some writing on the wall, as in Daniel, right? The inscription we're seeing in front of us in actions by others. Now that they took this mythos model and they kind of down, they they lightened it up a little bit, they released something called Fable V, also from Anthropic, also from Claude. So they released that next model. So that's when humans got to interact with it and touch it for a few days until somebody from another lab or uh Amazon or whomever, some brainy cat was able to jailbreak it, which, by the way, they all get that. They all get broken. There's there's a cat out there on X that's able to, a guy, he's able to break all these things down. But this one made the government nervous. So they pulled back Fable 5 from the people getting access to it. I'm glad I didn't get on. I would have been sad. You know, that's the other thing. It's like an emotional roller coaster. He's up, he's down, he's up, he's down. Now we're up, we're down. And now rumor is they're going to be bringing back Fable V. Chat GPT, the new one. 4.6, maybe, I believe it was. Uh 4.6 was going to be released, but the government took a look at it first, just I guess because they were allowed to, and they said, Oh, this is a lot. It almost seems like these stories are scripted to try to get us excited about it. Because, mark my words, if they do release Mythos and Fable V, it's going to go through the roof. Like the sound effect? People are going to just go crazy over it because it's something we couldn't have. And that's the point. We want things we can't have. It's that whole covenant issue. We want the things that we don't get access to. And when they say that it was given to the top 100 financial businesses in the world, corporations, you know, yeah, yeah, we complain and we nag, but we still can't get way to get our hands on it. But just them having it for that little time, there's no way to catch up, right? Because they got the model, they got to do whatever it is they were going to do with it. Now, there's no chance of anybody catching up unless they're like an Alex Swisner gross that are so brainy that they're doing things with it that nobody thought of yet. And those people exist, but those people are becoming more and more of a rarity because we're playing with artificial intelligence, artificial general intelligence, and within a few more decisions, probably artificial superintelligence. Be good to yourself. Try to take a breath. Try to watch. There's a lot going on. But don't ignore this. You don't have to be all for it or all against it, but at least know it. Kind of understand it. Whether it's an enemy or a friend, we really don't know yet. It still has to play out a little bit more. I wish I had the answers. The people at the top that are that are preaching to the choir, they don't have the answers either. But the choir's listening, folks. And the last thing we want to do is shut the choir up. So make sure you're paying attention. Make sure you're protecting yourselves. Know that everything you look at on social media and advertising on the television and the news, question it. It's not necessarily true. And even if it's close to being true, true is a whole different animal. So make sure that you back up your own brain and understand it. Understand that privacy, if you think you have privacy, and if you want to take up the fight, take it up. But if you think you have privacy, you don't. You've signed terms of service that probably gave your privacy away forever in some application on a smart TV or an iPhone or whatever it may be. You've given that right up. So don't think for a moment that privacy actually exists in its truest form. You would have to be in a bunker. And that's not a new story either. Be careful. I'm Connor. We'll see you in the next one. Please let me know what you think. I'd love to hear it. You take care and thanks for watching.